[med-svn] [python-dendropy] 02/03: Imported Upstream version 4.0.3+dfsg

Andreas Tille tille at debian.org
Sat Nov 14 19:51:14 UTC 2015


This is an automated email from the git hooks/post-receive script.

tille pushed a commit to branch master
in repository python-dendropy.

commit 0ad69d7858e6381b040f3b7c6215f44c3c97cb35
Author: Andreas Tille <tille at debian.org>
Date:   Sat Nov 14 20:15:36 2015 +0100

    Imported Upstream version 4.0.3+dfsg
---
 doc/Makefile                                       |  177 ---
 doc/source/_static/Octocat.png                     |  Bin 2131769 -> 0 bytes
 doc/source/_static/dendropy3.png                   |  Bin 6067 -> 0 bytes
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 doc/source/_themes/rtd-fabric/static/rtd.css       |  773 -----------
 doc/source/_themes/rtd-fabric/theme.conf           |    3 -
 doc/source/_themes/sphinx_dendropy_theme/logo.html |    3 -
 .../sphinx_dendropy_theme/side_supplemental.html   |   78 --
 .../_themes/sphinx_dendropy_theme/static/rtd.css   |  775 -----------
 .../_themes/sphinx_dendropy_theme/theme.conf       |    3 -
 doc/source/acknowledgements.inc                    |    5 -
 doc/source/changes.rst                             |    3 -
 doc/source/citation.inc                            |   15 -
 doc/source/conf.py                                 |  559 --------
 doc/source/downloading.rst                         |   51 -
 doc/source/examples/bdtree_multi1.py               |   22 -
 doc/source/examples/bdtree_multi2.py               |   20 -
 doc/source/examples/bibtex_annotations1.py         |   24 -
 doc/source/examples/bibtex_annotations2.py         |   23 -
 doc/source/examples/bibtex_annotations3.py         |   29 -
 doc/source/examples/build_tree_programmatically.py |   51 -
 doc/source/examples/char_mat_concat.py             |   20 -
 doc/source/examples/char_mat_concat2.py            |   12 -
 doc/source/examples/chars_access1.py               |   18 -
 doc/source/examples/chars_access2.py               |   18 -
 doc/source/examples/chars_access3.py               |   32 -
 doc/source/examples/chars_access4.py               |   32 -
 doc/source/examples/contained_coalescent1.py       |   19 -
 doc/source/examples/contained_coalescent2.py       |   19 -
 doc/source/examples/ds1.py                         |   43 -
 doc/source/examples/ds2.py                         |   16 -
 doc/source/examples/ds4.py                         |   10 -
 doc/source/examples/ds5.py                         |   11 -
 doc/source/examples/dsrw1.py                       |   13 -
 doc/source/examples/dynamic_annotations1.py        |   34 -
 doc/source/examples/euctree.py                     |   19 -
 doc/source/examples/find_taxon_node1.py            |    8 -
 doc/source/examples/find_taxon_node2.py            |    7 -
 doc/source/examples/hiv1.nexus                     |  399 ------
 doc/source/examples/ladderize.py                   |   22 -
 doc/source/examples/ltt.py                         |   36 -
 doc/source/examples/majrule.py                     |   15 -
 doc/source/examples/mcct.py                        |   19 -
 doc/source/examples/mrca.py                        |    9 -
 doc/source/examples/mrca2.py                       |   11 -
 doc/source/examples/node_ages1.py                  |   19 -
 doc/source/examples/orti1994.nex                   |   32 -
 doc/source/examples/paup_estimate_model.py         |   18 -
 doc/source/examples/paup_estimate_tree_ml.py       |   15 -
 doc/source/examples/paup_estimate_tree_nj.py       |   11 -
 doc/source/examples/pbhg.py                        |   16 -
 doc/source/examples/pdm.py                         |   12 -
 doc/source/examples/pgstats1.py                    |   33 -
 doc/source/examples/pic1.py                        |   35 -
 doc/source/examples/pic2.py                        |    7 -
 doc/source/examples/pic3.py                        |   10 -
 doc/source/examples/pic4.py                        |   26 -
 doc/source/examples/pic_annotated.py               |   32 -
 .../examples/preorder_filtered_edge_iteration.py   |   10 -
 .../examples/preorder_filtered_node_iteration.py   |   10 -
 doc/source/examples/primates.cc.combined.nex       |   17 -
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 doc/source/examples/primates.cc.tre                |    1 -
 .../examples/primates.chars.interleaved.nexus      |  228 ----
 doc/source/examples/primates.chars.nexus           |   45 -
 .../primates.chars.simple.interleaved.nexus        |  202 ---
 doc/source/examples/primates.chars.simple.nexus    |   27 -
 .../examples/primates.chars.subsets-1stpos.nexus   |   20 -
 .../examples/primates.chars.subsets-2ndpos.nexus   |   20 -
 .../examples/primates.chars.subsets-3rdpos.nexus   |   20 -
 .../examples/primates.chars.subsets-all.nexus      |   72 --
 .../examples/primates.chars.subsets-coding.nexus   |   20 -
 .../primates.chars.subsets-noncoding.nexus         |   20 -
 doc/source/examples/prune_taxa_with_labels.py      |   17 -
 doc/source/examples/pure_kingman1.py               |   11 -
 doc/source/examples/pythonidae.beast-mcmc.trees    | 1079 ----------------
 doc/source/examples/pythonidae.chars.nexus         |   99 --
 doc/source/examples/pythonidae.chars.phylip        |   34 -
 doc/source/examples/pythonidae.fasta               |   99 --
 doc/source/examples/pythonidae.mb.run1.t           |  108 --
 doc/source/examples/pythonidae.mb.run2.t           |  108 --
 doc/source/examples/pythonidae.mb.run3.t           |  108 --
 doc/source/examples/pythonidae.mb.run4.t           |  108 --
 doc/source/examples/pythonidae.mcmc-con.nex        |   13 -
 doc/source/examples/pythonidae.mcmc.nex            | 1035 ---------------
 doc/source/examples/pythonidae.mle.nex             |   46 -
 doc/source/examples/pythonidae.nex                 |   97 --
 doc/source/examples/pythonidae.random.bd0301.tre   |  143 ---
 doc/source/examples/pythonidae_combined.nex        |  494 --------
 .../examples/pythonidae_continuous.chars.nexml     | 1339 --------------------
 doc/source/examples/pythonidae_cytb.fasta          |   99 --
 doc/source/examples/raxml_estimate_tree.py         |   14 -
 doc/source/examples/readroot.py                    |   20 -
 doc/source/examples/readroot2.py                   |   14 -
 doc/source/examples/remove_branch_lengths.py       |   11 -
 doc/source/examples/reroot_at_external_edge.py     |   19 -
 doc/source/examples/reroot_at_internal_edge.py     |   19 -
 doc/source/examples/reroot_at_midpoint.py          |   18 -
 doc/source/examples/reroot_at_node.py              |   18 -
 doc/source/examples/rescale_tree_length.py         |   12 -
 doc/source/examples/retain_taxa_with_labels.py     |   18 -
 doc/source/examples/seqgen.py                      |   28 -
 doc/source/examples/setroot1.py                    |   26 -
 doc/source/examples/sim_and_count_deepcoal1.py     |   71 --
 doc/source/examples/sim_and_count_deepcoal2.py     |   65 -
 doc/source/examples/splitfreq.py                   |   16 -
 doc/source/examples/splits_on_trees.py             |   16 -
 doc/source/examples/symdiff1.py                    |   21 -
 doc/source/examples/symdiff2.py                    |   37 -
 doc/source/examples/taxa_mgmt1.py                  |   12 -
 doc/source/examples/taxa_mgmt1a.py                 |   10 -
 doc/source/examples/taxa_mgmt1b.py                 |   13 -
 doc/source/examples/taxa_mgmt2.py                  |   18 -
 doc/source/examples/taxa_mgmt3.py                  |   42 -
 doc/source/examples/taxa_mgmt4.py                  |   18 -
 doc/source/examples/taxa_mgmt5.py                  |   12 -
 doc/source/examples/taxon_labels1.py               |   35 -
 doc/source/examples/taxon_labels2.py               |   35 -
 doc/source/examples/taxon_labels2b.py              |   35 -
 doc/source/examples/taxon_labels3.py               |   35 -
 doc/source/examples/taxon_labels4.py               |   36 -
 doc/source/examples/to_outgroup_position.py        |   18 -
 doc/source/examples/tree_copy1.py                  |   26 -
 doc/source/examples/tree_copy2.py                  |   23 -
 doc/source/examples/tree_evolve_char1.py           |   20 -
 doc/source/examples/tree_evolve_char2.py           |   19 -
 doc/source/examples/tree_iter1.py                  |   30 -
 doc/source/examples/tree_iter2.py                  |   22 -
 doc/source/examples/tree_length_crit.py            |   14 -
 doc/source/examples/tree_list_add1.py              |    6 -
 doc/source/examples/tree_list_copy1.py             |   24 -
 doc/source/examples/tree_list_copy2.py             |   26 -
 doc/source/examples/tree_list_copy3.py             |   23 -
 doc/source/examples/tree_list_ops1.py              |   38 -
 doc/source/examples/tree_list_ops2.py              |   28 -
 doc/source/examples/tree_rootings1.py              |   36 -
 doc/source/examples/treemeasures1.py               |   30 -
 doc/source/examples/weightedrf1.py                 |   22 -
 doc/source/glossary.rst                            |  310 -----
 doc/source/index.rst                               |  118 --
 doc/source/library/basemodel.rst                   |   38 -
 doc/source/library/birthdeath.rst                  |    8 -
 doc/source/library/charmatrixmodel.rst             |   88 --
 doc/source/library/charstatemodel.rst              |   19 -
 doc/source/library/coalescent.rst                  |    9 -
 doc/source/library/continuous.rst                  |    8 -
 doc/source/library/datasetmodel.rst                |    7 -
 doc/source/library/discrete.rst                    |    9 -
 doc/source/library/index.rst                       |   59 -
 doc/source/library/parsimony.rst                   |    9 -
 doc/source/library/popgensim.rst                   |   10 -
 doc/source/library/popgenstat.rst                  |    8 -
 doc/source/library/probability.rst                 |    8 -
 doc/source/library/reconcile.rst                   |    9 -
 doc/source/library/statistics.rst                  |    8 -
 doc/source/library/taxonmodel.rst                  |   23 -
 doc/source/library/treecollectionmodel.rst         |   54 -
 doc/source/library/treecompare.rst                 |    8 -
 doc/source/library/treemeasure.rst                 |    7 -
 doc/source/library/treemodel.rst                   |   33 -
 doc/source/library/treescore.rst                   |    8 -
 doc/source/library/treeshape.rst                   |    8 -
 doc/source/library/treesim.rst                     |   10 -
 doc/source/license.inc                             |   79 --
 doc/source/migration.rst                           |  269 ----
 doc/source/primer/bipartitions.rst                 |  404 ------
 doc/source/primer/chars.rst                        |  181 ---
 doc/source/primer/converting.rst                   |   86 --
 doc/source/primer/dataobjects.rst                  |   89 --
 doc/source/primer/datasets.rst                     |  178 ---
 doc/source/primer/genbank.rst                      |  565 ---------
 doc/source/primer/index.rst                        |   78 --
 doc/source/primer/paup.rst                         |   17 -
 .../primer/phylogenetic_character_analyses.rst     |  139 --
 doc/source/primer/popgenstats.rst                  |   46 -
 doc/source/primer/raxml.rst                        |   20 -
 doc/source/primer/reading_and_writing.rst          |  250 ----
 doc/source/primer/seqgen.rst                       |   13 -
 doc/source/primer/taxa.rst                         |  277 ----
 doc/source/primer/taxa_partitions.rst              |  142 ---
 doc/source/primer/treecollections.rst              |  108 --
 doc/source/primer/treemanips.rst                   |  452 -------
 doc/source/primer/trees.rst                        |  220 ----
 doc/source/primer/treesims.rst                     |  285 -----
 doc/source/primer/treestats.rst                    |  189 ---
 .../primer/working_with_metadata_annotations.rst   |  898 -------------
 doc/source/programs/index.rst                      |    8 -
 doc/source/programs/sumtrees.rst                   |  567 ---------
 doc/source/schemas/fasta.rst                       |  182 ---
 doc/source/schemas/index.rst                       |   36 -
 doc/source/schemas/interfaces/fasta_as_string.py   |    6 -
 doc/source/schemas/interfaces/fasta_dataset_get.py |   36 -
 .../schemas/interfaces/fasta_dataset_read.py       |   40 -
 .../interfaces/fasta_dnacharactermatrix_get.py     |    9 -
 .../fasta_infinitesitescharactermatrix_get.py      |    9 -
 .../interfaces/fasta_proteincharactermatrix_get.py |    9 -
 .../fasta_restrictionsitescharactermatrix_get.py   |    9 -
 .../interfaces/fasta_rnacharactermatrix_get.py     |    8 -
 .../fasta_standardcharactermatrix_get.py           |   19 -
 doc/source/schemas/interfaces/fasta_write.py       |    7 -
 doc/source/schemas/interfaces/newick_as_string.py  |   22 -
 .../schemas/interfaces/newick_dataset_get.py       |   24 -
 .../schemas/interfaces/newick_dataset_read.py      |   23 -
 doc/source/schemas/interfaces/newick_tree_get.py   |   23 -
 .../interfaces/newick_tree_get_from_path.py        |   22 -
 .../interfaces/newick_tree_get_from_stream.py      |   22 -
 .../schemas/interfaces/newick_treearray_read.py    |   22 -
 .../schemas/interfaces/newick_treelist_get.py      |   21 -
 .../schemas/interfaces/newick_treelist_read.py     |   20 -
 doc/source/schemas/interfaces/newick_write.py      |   23 -
 .../schemas/interfaces/nexml_chars_as_string.py    |    8 -
 doc/source/schemas/interfaces/nexml_chars_write.py |    9 -
 .../schemas/interfaces/nexml_dataset_as_string.py  |    8 -
 doc/source/schemas/interfaces/nexml_dataset_get.py |   14 -
 .../schemas/interfaces/nexml_dataset_read.py       |   13 -
 .../schemas/interfaces/nexml_dataset_write.py      |    9 -
 .../interfaces/nexml_dnacharactermatrix_get.py     |   10 -
 .../nexml_infinitesitescharactermatrix_get.py      |   10 -
 .../interfaces/nexml_proteincharactermatrix_get.py |   10 -
 .../nexml_restrictionsitescharactermatrix_get.py   |   10 -
 .../interfaces/nexml_rnacharactermatrix_get.py     |   10 -
 .../nexml_standardcharactermatrix_get.py           |   10 -
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 .../schemas/interfaces/nexml_treelist_get.py       |   11 -
 .../schemas/interfaces/nexml_treelist_read.py      |   10 -
 .../schemas/interfaces/nexml_trees_as_string.py    |    6 -
 doc/source/schemas/interfaces/nexml_trees_write.py |    7 -
 .../schemas/interfaces/nexus_chars_as_string.py    |   20 -
 doc/source/schemas/interfaces/nexus_chars_write.py |   21 -
 .../schemas/interfaces/nexus_dataset_as_string.py  |   32 -
 doc/source/schemas/interfaces/nexus_dataset_get.py |   24 -
 .../schemas/interfaces/nexus_dataset_read.py       |   23 -
 .../schemas/interfaces/nexus_dataset_write.py      |   33 -
 .../interfaces/nexus_dnacharactermatrix_get.py     |    9 -
 .../nexus_infinitesitescharactermatrix_get.py      |    9 -
 .../interfaces/nexus_proteincharactermatrix_get.py |    9 -
 .../nexus_restrictionsitescharactermatrix_get.py   |    9 -
 .../interfaces/nexus_rnacharactermatrix_get.py     |    8 -
 .../nexus_standardcharactermatrix_get.py           |   19 -
 doc/source/schemas/interfaces/nexus_tree_get.py    |   23 -
 .../schemas/interfaces/nexus_tree_get_from_path.py |   22 -
 .../interfaces/nexus_tree_get_from_stream.py       |   22 -
 .../schemas/interfaces/nexus_treearray_read.py     |   22 -
 .../schemas/interfaces/nexus_treelist_get.py       |   21 -
 .../schemas/interfaces/nexus_treelist_read.py      |   20 -
 .../schemas/interfaces/nexus_trees_as_string.py    |   28 -
 doc/source/schemas/interfaces/nexus_trees_write.py |   29 -
 doc/source/schemas/interfaces/phylip_as_string.py  |    8 -
 .../schemas/interfaces/phylip_dataset_get.py       |   56 -
 .../schemas/interfaces/phylip_dataset_read.py      |   60 -
 .../interfaces/phylip_dnacharactermatrix_get.py    |   13 -
 .../phylip_infinitesitescharactermatrix_get.py     |   13 -
 .../phylip_proteincharactermatrix_get.py           |   13 -
 .../phylip_restrictionsitescharactermatrix_get.py  |   13 -
 .../interfaces/phylip_rnacharactermatrix_get.py    |   14 -
 .../phylip_standardcharactermatrix_get.py          |   29 -
 doc/source/schemas/interfaces/phylip_write.py      |    9 -
 doc/source/schemas/newick.rst                      |  114 --
 doc/source/schemas/nexml.rst                       |  224 ----
 doc/source/schemas/nexus.rst                       |  225 ----
 doc/source/schemas/phylip.rst                      |  180 ---
 267 files changed, 19221 deletions(-)

diff --git a/doc/Makefile b/doc/Makefile
deleted file mode 100644
index af7bfab..0000000
--- a/doc/Makefile
+++ /dev/null
@@ -1,177 +0,0 @@
-# Makefile for Sphinx documentation
-#
-
-# You can set these variables from the command line.
-SPHINXOPTS    =
-SPHINXBUILD   = sphinx-build
-PAPER         =
-BUILDDIR      = build
-
-# User-friendly check for sphinx-build
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-$(error The '$(SPHINXBUILD)' command was not found. Make sure you have Sphinx installed, then set the SPHINXBUILD environment variable to point to the full path of the '$(SPHINXBUILD)' executable. Alternatively you can add the directory with the executable to your PATH. If you don't have Sphinx installed, grab it from http://sphinx-doc.org/)
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-
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-
-.PHONY: help clean html dirhtml singlehtml pickle json htmlhelp qthelp devhelp epub latex latexpdf text man changes linkcheck doctest gettext
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-help:
-	@echo "Please use \`make <target>' where <target> is one of"
-	@echo "  html       to make standalone HTML files"
-	@echo "  dirhtml    to make HTML files named index.html in directories"
-	@echo "  singlehtml to make a single large HTML file"
-	@echo "  pickle     to make pickle files"
-	@echo "  json       to make JSON files"
-	@echo "  htmlhelp   to make HTML files and a HTML help project"
-	@echo "  qthelp     to make HTML files and a qthelp project"
-	@echo "  devhelp    to make HTML files and a Devhelp project"
-	@echo "  epub       to make an epub"
-	@echo "  latex      to make LaTeX files, you can set PAPER=a4 or PAPER=letter"
-	@echo "  latexpdf   to make LaTeX files and run them through pdflatex"
-	@echo "  latexpdfja to make LaTeX files and run them through platex/dvipdfmx"
-	@echo "  text       to make text files"
-	@echo "  man        to make manual pages"
-	@echo "  texinfo    to make Texinfo files"
-	@echo "  info       to make Texinfo files and run them through makeinfo"
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-	@echo "Build finished. The message catalogs are in $(BUILDDIR)/locale."
-
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-	$(SPHINXBUILD) -b changes $(ALLSPHINXOPTS) $(BUILDDIR)/changes
-	@echo
-	@echo "The overview file is in $(BUILDDIR)/changes."
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-	$(SPHINXBUILD) -b linkcheck $(ALLSPHINXOPTS) $(BUILDDIR)/linkcheck
-	@echo
-	@echo "Link check complete; look for any errors in the above output " \
-	      "or in $(BUILDDIR)/linkcheck/output.txt."
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-	$(SPHINXBUILD) -b doctest $(ALLSPHINXOPTS) $(BUILDDIR)/doctest
-	@echo "Testing of doctests in the sources finished, look at the " \
-	      "results in $(BUILDDIR)/doctest/output.txt."
-
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-	$(SPHINXBUILD) -b xml $(ALLSPHINXOPTS) $(BUILDDIR)/xml
-	@echo
-	@echo "Build finished. The XML files are in $(BUILDDIR)/xml."
-
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-	$(SPHINXBUILD) -b pseudoxml $(ALLSPHINXOPTS) $(BUILDDIR)/pseudoxml
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diff --git a/doc/source/_static/logo_cipres.gif b/doc/source/_static/logo_cipres.gif
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diff --git a/doc/source/_themes/rtd-fabric/static/rtd.css b/doc/source/_themes/rtd-fabric/static/rtd.css
deleted file mode 100644
index 1fbc48e..0000000
--- a/doc/source/_themes/rtd-fabric/static/rtd.css
+++ /dev/null
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-/*
- * rtd.css
- * ~~~~~~~~~~~~~~~
- *
- * Sphinx stylesheet -- sphinxdoc theme.  Originally created by
- * Armin Ronacher for Werkzeug.
- *
- * Customized for ReadTheDocs by Eric Pierce & Eric Holscher
- *
- * Customized for DendroPy by Jeet Sukumaran
- *
- * :copyright: Copyright 2007-2010 by the Sphinx team, see AUTHORS.
- * :license: BSD, see LICENSE for details.
- *
- */
-
-/* RTD colors
- * light blue: #e8ecef
- * medium blue: #8ca1af
- * dark blue: #465158
- * dark grey: #444444
- *
- * white hover: #d1d9df;
- * medium blue hover: #697983;
- * green highlight: #8ecc4c
- * light blue (project bar): #e8ecef
- */
-
- at import url("basic.css");
-
-/* PAGE LAYOUT -------------------------------------------------------------- */
-
-body {
-    font: 100%/1.5 "ff-meta-web-pro-1","ff-meta-web-pro-2",Arial,"Helvetica Neue",sans-serif;
-    text-align: center;
-    color: black;
-    background-color: #465158;
-    padding: 0;
-    margin: 0;
-}
-
-div.document {
-    text-align: left;
-    background-color: #e8ecef;
-}
-
-div.bodywrapper {
-    background-color: #ffffff;
-    border-left: 1px solid #ccc;
-    border-bottom: 1px solid #ccc;
-    margin: 0 0 0 16em;
-}
-
-div.body {
-    margin: 0;
-    padding: 0.5em 1.3em;
-    max-width: 55em;
-    min-width: 20em;
-}
-
-div.related {
-    font-size: 1em;
-    background-color: #465158;
-}
-
-div.documentwrapper {
-    float: left;
-    width: 100%;
-    background-color: #e8ecef;
-}
-
-
-/* HEADINGS --------------------------------------------------------------- */
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-h1 {
-    margin: 0;
-    padding: 0.7em 0 0.3em 0;
-    font-size: 1.5em;
-    line-height: 1.15;
-    color: #111;
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-}
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-h2 {
-    margin: 2em 0 0.2em 0;
-    font-size: 1.35em;
-    padding: 0;
-    color: #465158;
-}
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-h3 {
-    margin: 1em 0 -0.3em 0;
-    font-size: 1.2em;
-    color: #6c818f;
-}
-
-div.body h1 a, div.body h2 a, div.body h3 a, div.body h4 a, div.body h5 a, div.body h6 a {
-    color: black;
-}
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-h1 a.anchor, h2 a.anchor, h3 a.anchor, h4 a.anchor, h5 a.anchor, h6 a.anchor {
-    display: none;
-    margin: 0 0 0 0.3em;
-    padding: 0 0.2em 0 0.2em;
-    color: #aaa !important;
-}
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-h1:hover a.anchor, h2:hover a.anchor, h3:hover a.anchor, h4:hover a.anchor,
-h5:hover a.anchor, h6:hover a.anchor {
-    display: inline;
-}
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-h1 a.anchor:hover, h2 a.anchor:hover, h3 a.anchor:hover, h4 a.anchor:hover,
-h5 a.anchor:hover, h6 a.anchor:hover {
-    color: #777;
-    background-color: #eee;
-}
-
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-/* LINKS ------------------------------------------------------------------ */
-
-/* Normal links get a pseudo-underline */
-a {
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-    border-bottom: 1px solid #ccc;
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-.toctree-wrapper a,
-.indextable a,
-#indices-and-tables a {
-    color: #444;
-    text-decoration: none;
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-}
-
-/* Most links get an underline-effect when hovered */
-a:hover,
-div.toctree-wrapper a:hover,
-.indextable a:hover,
-#indices-and-tables a:hover {
-    color: #111;
-    text-decoration: none;
-    border-bottom: 1px solid #111;
-}
-
-/* Footer links */
-div.footer a {
-    color: #86989B;
-    text-decoration: none;
-    border: none;
-}
-div.footer a:hover {
-    color: #a6b8bb;
-    text-decoration: underline;
-    border: none;
-}
-
-/* Permalink anchor (subtle grey with a red hover) */
-div.body a.headerlink {
-    color: #ccc;
-    font-size: 1em;
-    margin-left: 6px;
-    padding: 0 4px 0 4px;
-    text-decoration: none;
-    border: none;
-}
-div.body a.headerlink:hover {
-    color: #c60f0f;
-    border: none;
-}
-
-
-/* NAVIGATION BAR --------------------------------------------------------- */
-
-div.related ul {
-    height: 2.5em;
-}
-
-div.related ul li {
-    margin: 0;
-    padding: 0.65em 0;
-    float: left;
-    display: block;
-    color: white; /* For the >> separators */
-    font-size: 0.8em;
-}
-
-div.related ul li.right {
-    float: right;
-    margin-right: 5px;
-    color: transparent; /* Hide the | separators */
-}
-
-/* "Breadcrumb" links in nav bar */
-div.related ul li a {
-    order: none;
-    background-color: inherit;
-    font-weight: bold;
-    margin: 6px 0 6px 4px;
-    line-height: 1.75em;
-    color: #ffffff;
-    padding: 0.4em 0.8em;
-    border: none;
-    border-radius: 3px;
-}
-/* previous / next / modules / index links look more like buttons */
-div.related ul li.right a {
-    margin: 0.375em 0;
-    background-color: #697983;
-    text-shadow: 0 1px rgba(0, 0, 0, 0.5);
-    border-radius: 3px;
-    -webkit-border-radius: 3px;
-    -moz-border-radius: 3px;
-}
-/* All navbar links light up as buttons when hovered */
-div.related ul li a:hover {
-    background-color: #8ca1af;
-    color: #ffffff;
-    text-decoration: none;
-    border-radius: 3px;
-    -webkit-border-radius: 3px;
-    -moz-border-radius: 3px;
-}
-/* Take extra precautions for tt within links */
-a tt,
-div.related ul li a tt {
-    background: inherit !important;
-    color: inherit !important;
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-/* SIDEBAR ---------------------------------------------------------------- */
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-div.sphinxsidebar {
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-div.sphinxsidebar h3, div.sphinxsidebar h4 {
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-div.sphinxsidebar h3 a {
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-div.sphinxsidebar ul,
-div.sphinxsidebar p {
-    margin-top: 0;
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-    line-height: 130%;
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-/* No bullets for nested lists, but a little extra indentation */
-div.sphinxsidebar ul ul {
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-div.sphinxsidebar p.topless {
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-div.sphinxsidebar ul li,
-div.sphinxsidebar p.topless {
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-div.sphinxsidebar ul li:hover,
-div.sphinxsidebar p.topless:hover {
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-#searchbox h3 {
-    margin-top: 0;
-}
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-/* Make search box and button abut and have a border */
-input,
-div.sphinxsidebar input {
-    border: 1px solid #999;
-    float: left;
-}
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-/* Search textbox */
-input[type="text"] {
-    margin: 0;
-    padding: 0 3px;
-    height: 20px;
-    width: 144px;
-    border-top-left-radius: 3px;
-    border-bottom-left-radius: 3px;
-    -moz-border-radius-topleft: 3px;
-    -moz-border-radius-bottomleft: 3px;
-    -webkit-border-top-left-radius: 3px;
-    -webkit-border-bottom-left-radius: 3px;
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-/* Search button */
-input[type="submit"] {
-    margin: 0 0 0 -1px; /* -1px prevents a double-border with textbox */
-    height: 22px;
-    color: #444;
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-    font-weight: bold;
-    border-top-right-radius: 3px;
-    border-bottom-right-radius: 3px;
-    -moz-border-radius-topright: 3px;
-    -moz-border-radius-bottomright: 3px;
-    -webkit-border-top-right-radius: 3px;
-    -webkit-border-bottom-right-radius: 3px;
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-input[type="submit"]:hover {
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-div.sphinxsidebar p.searchtip {
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-    border-radius: 3px;
-    -moz-border-radius: 3px;
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-    border: 1px solid transparent; /* To prevent things jumping around on hover */
-    padding: 0 5px 0 5px;
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-div.sphinxsidebar li a:hover,
-div.sphinxsidebar p a:hover {
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-    font-size: 0.95em;
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-    border: 1px solid #abc;
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-                 'Bitstream Vera Sans Mono', monospace;
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-    font-size: 0.95em;
-    letter-spacing: 0.015em;
-    line-height: 120%;
-    padding: 0.5em;
-    border: 1px solid #ccc;
-    background-color: #eee;
-    border-radius: 6px;
-    -moz-border-radius: 6px;
-    -webkit-border-radius: 6px;
-}
-
-pre a {
-    color: inherit;
-    text-decoration: underline;
-}
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-td.linenos pre {
-    padding: 0.5em 0;
-}
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-div.quotebar {
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-div.warning {
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-/* But do highlight spans (so search results can be highlighted) */
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-        line-height: 1.1;
-        margin-bottom: 1;
-        margin-left: 0;
-    }
-
-}
diff --git a/doc/source/_themes/rtd-fabric/theme.conf b/doc/source/_themes/rtd-fabric/theme.conf
deleted file mode 100644
index 0915c43..0000000
--- a/doc/source/_themes/rtd-fabric/theme.conf
+++ /dev/null
@@ -1,3 +0,0 @@
-[theme]
-inherit = default
-stylesheet = rtd.css
diff --git a/doc/source/_themes/sphinx_dendropy_theme/logo.html b/doc/source/_themes/sphinx_dendropy_theme/logo.html
deleted file mode 100644
index c413180..0000000
--- a/doc/source/_themes/sphinx_dendropy_theme/logo.html
+++ /dev/null
@@ -1,3 +0,0 @@
-<div style="text-align: center; padding-top: 20px; padding-bottom: 5px; width: 100%;">
-    <a href="{{pathto('index')}}"><img src="{{pathto('_static/dendropy_logo.png', 1)}}" /></a>
-</div>
diff --git a/doc/source/_themes/sphinx_dendropy_theme/side_supplemental.html b/doc/source/_themes/sphinx_dendropy_theme/side_supplemental.html
deleted file mode 100644
index ffe4318..0000000
--- a/doc/source/_themes/sphinx_dendropy_theme/side_supplemental.html
+++ /dev/null
@@ -1,78 +0,0 @@
-
-    <!-- Documentation -->
-    <div style="border-top: double 1px white; padding-top: 10px;">
-        <h3>Documentation</h3>
-        <ul>
-            <li><a href="{{pathto('primer/index')}}">The DendroPy Primer</a></li>
-            <li><a href="{{pathto('library/index')}}">Library API Reference</a></li>
-            <li>
-                <a href="{{pathto('schemas/index')}}">Schemas</a>
-                <ul>
-                    <li><a href="{{pathto('schemas/fasta')}}">FASTA</a></li>
-                    <li><a href="{{pathto('schemas/newick')}}">Newick</a></li>
-                    <li><a href="{{pathto('schemas/nexml')}}">NeXML</a></li>
-                    <li><a href="{{pathto('schemas/nexus')}}">Nexus</a></li>
-                    <li><a href="{{pathto('schemas/phylip')}}">PHYLIP</a></li>
-                </ul>
-            </li>
-            <li>
-                <a href="{{pathto('programs/index')}}">Programs</a>
-                <ul>
-                    <li><a href="{{pathto('programs/sumtrees')}}">SumTrees</a></li>
-                </ul>
-            </li>
-            <li><a href="{{pathto('glossary')}}">Glossary and Terminological Reference</a></li>
-            <li><a href="{{pathto('changes')}}">Change History</a></li>
-        </ul>
-    </div>
-
-    <!-- Downloads -->
-    <div style="border-top: double 1px white; padding-top: 10px;">
-        <h3>Obtaining</h3>
-        <ul>
-            <li><a target="_blank" href="http://pypi.python.org/pypi/DendroPy">Install from the Python Package Index</a></li>
-            <li><a target="_blank" href="http://pypi.python.org/packages/source/D/DendroPy/DendroPy-{{version}}.tar.gz">Download the Source Code Archive</a></li>
-            <li><a target="_blank" href="http://github.com/jeetsukumaran/DendroPy">Clone the Source Code Repository</a></li>
-        </ul>
-    </div>
-
-    <!-- Discussions -->
-    <div style="border-top: double 1px white; padding-top: 10px; position: relative;">
-        <h3><span style="text-align: left">Discussion</span><span style="position: absolute; right: 0; top: 10px "><img src="{{pathto('_static/google-groups-logo1.png', 1)}}" height="20px" alt="Google Groups" /></span></h3>
-        <div style="margin-top: 15px;">
-            <p style="font-size: 90%; margin-top: 3px; clear: both;">Join the <a href="http://groups.google.com/group/dendropy-users?hl=en">" DendroPy Users" </a>group to follow and participate in discussion, troubleshooting, help, information, suggestions, etc. on the usage and development of the DendroPy phylogenetic computing library.</p>
-            <form action="http://groups.google.com/group/dendropy-users/boxsubscribe">
-                <input type=text name=email>
-                <input type=submit name="sub" value="Subscribe">
-            </form>
-            <p style="font-size: 90%; clear: both; padding-top: 5px; padding-bottom: 10px;">Enter your e-mail address in the box above and click the "subscribe" button to subscribe to the <a href="http://groups.google.com/group/dendropy-users?hl=en">"dendropy-users"</a> group, or click <a href="http://groups.google.com/group/dendropy-users?hl=en">here</a> to visit this group page directly.</p>
-        </div>
-    </div>
-
-    <!-- Announcements -->
-    <div style="border-top: double 1px white; padding-top: 10px; position: relative;">
-        <h3><span style="text-align: left">Announcements</span><span style="position: absolute; right: 0; top: 10px "><img src="{{pathto('_static/google-groups-logo1.png', 1)}}" height="20px" alt="Google Groups" /></span></h3>
-        <div style="margin-top: 15px;">
-            <p style="font-size: 90%; margin-top: 3px; clear: both;">Join the <a href="http://groups.google.com/group/dendropy-announce?hl=en">" DendroPy Announcements" </a>group to receive announcements of new releases, updates, changes and other news of interest to DendroPy users and developers.</p>
-            <form action="http://groups.google.com/group/dendropy-announce/boxsubscribe">
-                <input type=text name=email>
-                <input type=submit name="sub" value="Subscribe">
-            </form>
-            <p style="font-size: 90%; clear: both; padding-top: 5px; padding-bottom: 10px;">Enter your e-mail address in the box above and click the "subscribe" button to subscribe to the <a href="http://groups.google.com/group/dendropy-announce?hl=en">" dendropy-announce" </a>group, or click <a href="http://groups.google.com/group/dendropy-announce?hl=en">here</a> to visit this group page directly.</p>
-        </div>
-    </div>
-
-    <!-- Development -->
-    <div style="border-top: double 1px white; padding-top: 10px; position: relative; padding-bottom: 15px; margin-bottom:5px;">
-        <h3><span style="text-align: left"><a href="https://github.com/jeetsukumaran/DendroPy/">Development</a></span><a href="https://github.com/jeetsukumaran/DendroPy/"><span style="position: absolute; right: 0; top: 10px "><img src="{{pathto('_static/Octocat.png', 1)}}" height="30px" alt="GitHub" /></span></a></h3>
-        <div style="margin-top: 15px;">
-            <!-- <a href="https://github.com/jeetsukumaran/DendroPy/issues">Issues</a> • <a href="https://github.com/jeetsukumaran/DendroPy/subscription">Watch</a> • <a href="https://github.com/jeetsukumaran/DendroPy/fork">Fork</a> • <a href="https://github.com/jeetsukumaran/DendroPy/stargazers">Star</a> • <a href="https://github.com/jeetsukumaran/">Follow</a> -->
-            <ul>
-                <li>                <span style="font-weight: bold;"><a href="https:/github.com/jeetsukumaran/DendroPy/issues"><code>Issues</code></a></span> <span style="font-style: italic; font-size:80%;"> - Report bugs or request features</span></li>
-                <li>     <span style="font-weight: bold;"><a href="https:/github.com/jeetsukumaran/DendroPy/subscription"><code> Watch</code></a></span> <span style="font-style: italic; font-size:80%;"> - Follow development activity</span></li>
-                <li>        <span style="font-weight: bold;"><a href="https:/github.com/jeetsukumaran/DendroPy/fork"><code>  Fork</code></a></span> <span style="font-style: italic; font-size:80%;"> - Contribute and collaborate</span></li>
-                <li>  <span style="font-weight: bold;"><a href="https:/github.com/jeetsukumaran/DendroPy/stargazers"><code>  Star</code></a></span> <span style="font-style: italic; font-size:80%;"> - Throw some glitter, add some glamour</span></li>
-        </div>
-    </div>
-
-
diff --git a/doc/source/_themes/sphinx_dendropy_theme/static/rtd.css b/doc/source/_themes/sphinx_dendropy_theme/static/rtd.css
deleted file mode 100644
index 7880779..0000000
--- a/doc/source/_themes/sphinx_dendropy_theme/static/rtd.css
+++ /dev/null
@@ -1,775 +0,0 @@
-/*
- * rtd.css
- * ~~~~~~~~~~~~~~~
- *
- * Sphinx stylesheet -- sphinxdoc theme.  Originally created by
- * Armin Ronacher for Werkzeug.
- *
- * Customized for ReadTheDocs by Eric Pierce & Eric Holscher
- *
- * Customized for DendroPy by Jeet Sukumaran
- *
- * :copyright: Copyright 2007-2010 by the Sphinx team, see AUTHORS.
- * :license: BSD, see LICENSE for details.
- *
- */
-
-/* RTD colors
- * light blue: #e8ecef
- * medium blue: #8ca1af
- * dark blue: #465158
- * dark grey: #444444
- *
- * white hover: #d1d9df;
- * medium blue hover: #697983;
- * green highlight: #8ecc4c
- * light blue (project bar): #e8ecef
- */
-
- at import url("basic.css");
-
-/* PAGE LAYOUT -------------------------------------------------------------- */
-
-body {
-    font: 100%/1.5 "ff-meta-web-pro-1","ff-meta-web-pro-2",Arial,"Helvetica Neue",sans-serif;
-    text-align: center;
-    color: black;
-    background-color: #465158;
-    padding: 0;
-    margin: 0;
-}
-
-div.document {
-    text-align: left;
-    background-color: #e8ecef;
-}
-
-div.bodywrapper {
-    background-color: #ffffff;
-    border-left: 1px solid #ccc;
-    border-bottom: 1px solid #ccc;
-    margin: 0 0 0 18em;
-}
-
-div.body {
-    margin: 0;
-    padding: 0.5em 1.3em;
-    max-width: 55em;
-    min-width: 20em;
-}
-
-div.related {
-    font-size: 1em;
-    background-color: #465158;
-}
-
-div.documentwrapper {
-    float: left;
-    width: 100%;
-    background-color: #e8ecef;
-}
-
-
-/* HEADINGS --------------------------------------------------------------- */
-
-h1 {
-    margin: 0;
-    padding: 0.7em 0 0.3em 0;
-    font-size: 1.5em;
-    line-height: 1.15;
-    color: #111;
-    clear: both;
-}
-
-h2 {
-    margin: 2em 0 0.2em 0;
-    font-size: 1.35em;
-    padding: 0;
-    color: #465158;
-}
-
-h3 {
-    margin: 1em 0 -0.3em 0;
-    font-size: 1.2em;
-    color: #6c818f;
-}
-
-div.body h1 a, div.body h2 a, div.body h3 a, div.body h4 a, div.body h5 a, div.body h6 a {
-    color: black;
-}
-
-h1 a.anchor, h2 a.anchor, h3 a.anchor, h4 a.anchor, h5 a.anchor, h6 a.anchor {
-    display: none;
-    margin: 0 0 0 0.3em;
-    padding: 0 0.2em 0 0.2em;
-    color: #aaa !important;
-}
-
-h1:hover a.anchor, h2:hover a.anchor, h3:hover a.anchor, h4:hover a.anchor,
-h5:hover a.anchor, h6:hover a.anchor {
-    display: inline;
-}
-
-h1 a.anchor:hover, h2 a.anchor:hover, h3 a.anchor:hover, h4 a.anchor:hover,
-h5 a.anchor:hover, h6 a.anchor:hover {
-    color: #777;
-    background-color: #eee;
-}
-
-
-/* LINKS ------------------------------------------------------------------ */
-
-/* Normal links get a pseudo-underline */
-a {
-    /* color: #6688aa; */
-    color: #206088;
-    text-decoration: none;
-    border-bottom: 1px solid #ccc;
-}
-
-/* Links in sidebar, TOC, index trees and tables have no underline */
-.sphinxsidebar a,
-.toctree-wrapper a,
-.indextable a,
-#indices-and-tables a {
-    color: #206088;
-    text-decoration: none;
-    border-bottom: none;
-}
-
-/* Most links get an underline-effect when hovered */
-a:hover,
-div.toctree-wrapper a:hover,
-.indextable a:hover,
-#indices-and-tables a:hover {
-    color: #cc4400;
-    text-decoration: none;
-    border-bottom: 1px solid #cc4400;
-}
-
-/* Footer links */
-div.footer a {
-    color: #86989B;
-    text-decoration: none;
-    border: none;
-}
-div.footer a:hover {
-    color: #a6b8bb;
-    text-decoration: underline;
-    border: none;
-}
-
-/* Permalink anchor (subtle grey with a red hover) */
-div.body a.headerlink {
-    color: #ccc;
-    font-size: 1em;
-    margin-left: 6px;
-    padding: 0 4px 0 4px;
-    text-decoration: none;
-    border: none;
-}
-div.body a.headerlink:hover {
-    color: #c60f0f;
-    border: none;
-}
-
-
-/* NAVIGATION BAR --------------------------------------------------------- */
-
-div.related ul {
-    height: 2.5em;
-}
-
-div.related ul li {
-    margin: 0;
-    padding: 0.65em 0;
-    float: left;
-    display: block;
-    color: white; /* For the >> separators */
-    font-size: 0.8em;
-}
-
-div.related ul li.right {
-    float: right;
-    margin-right: 5px;
-    color: transparent; /* Hide the | separators */
-}
-
-/* "Breadcrumb" links in nav bar */
-div.related ul li a {
-    order: none;
-    background-color: inherit;
-    font-weight: bold;
-    margin: 6px 0 6px 4px;
-    line-height: 1.75em;
-    color: #ffffff;
-    padding: 0.4em 0.8em;
-    border: none;
-    border-radius: 3px;
-}
-/* previous / next / modules / index links look more like buttons */
-div.related ul li.right a {
-    margin: 0.375em 0;
-    background-color: #697983;
-    text-shadow: 0 1px rgba(0, 0, 0, 0.5);
-    border-radius: 3px;
-    -webkit-border-radius: 3px;
-    -moz-border-radius: 3px;
-}
-/* All navbar links light up as buttons when hovered */
-div.related ul li a:hover {
-    background-color: #8ca1af;
-    color: #ffffff;
-    text-decoration: none;
-    border-radius: 3px;
-    -webkit-border-radius: 3px;
-    -moz-border-radius: 3px;
-}
-/* Take extra precautions for tt within links */
-a tt,
-div.related ul li a tt {
-    background: inherit !important;
-    color: inherit !important;
-}
-
-
-/* SIDEBAR ---------------------------------------------------------------- */
-
-div.sphinxsidebarwrapper {
-    padding: 0;
-}
-
-img.logo {
-    padding-top: 15px;
-    padding-top: 15px;
-}
-
-div.sphinxsidebar {
-    margin: 0;
-    margin-left: -100%;
-    float: left;
-    top: 3em;
-    left: 0;
-    padding: 0 1em;
-    width: 20em;
-    font-size: 0.80em;
-    text-align: left;
-    background-color: #e8ecef;
-}
-
-div.sphinxsidebar h3, div.sphinxsidebar h4 {
-    margin: 1.2em 0 0.3em 0;
-    font-size: 1em;
-    padding: 0;
-    color: #222222;
-    font-family: "ff-meta-web-pro-1", "ff-meta-web-pro-2", "Arial", "Helvetica Neue", sans-serif;
-}
-
-div.sphinxsidebar h3 a {
-    color: #444444;
-}
-
-div.sphinxsidebar ul,
-div.sphinxsidebar p {
-    margin-top: 0;
-    padding-left: 0;
-    line-height: 130%;
-    background-color: #e8ecef;
-}
-
-/* No bullets for nested lists, but a little extra indentation */
-div.sphinxsidebar ul ul {
-    list-style-type: none;
-    margin-left: 1em;
-    padding: 0;
-}
-
-/* A little top/bottom padding to prevent adjacent links' borders
- * from overlapping each other */
-div.sphinxsidebar ul li {
-    padding: 1px 0;
-}
-
-/* A little left-padding to make these align with the ULs */
-div.sphinxsidebar p.topless {
-    padding-left: 0 0 0 1em;
-}
-
-/* Make these into hidden one-liners */
-div.sphinxsidebar ul li,
-div.sphinxsidebar p.topless {
-    white-space: nowrap;
-    overflow: hidden;
-}
-/* ...which become visible when hovered */
-div.sphinxsidebar ul li:hover,
-div.sphinxsidebar p.topless:hover {
-    overflow: visible;
-}
-
-/* Search text box and "Go" button */
-#searchbox {
-    margin-top: 2em;
-    margin-bottom: 1em;
-    background: #ddd;
-    padding: 0.5em;
-    border-radius: 6px;
-    -moz-border-radius: 6px;
-    -webkit-border-radius: 6px;
-}
-#searchbox h3 {
-    margin-top: 0;
-}
-
-/* Make search box and button abut and have a border */
-input,
-div.sphinxsidebar input {
-    border: 1px solid #999;
-    float: left;
-}
-
-/* Search textbox */
-input[type="text"] {
-    margin: 0;
-    padding: 0 3px;
-    height: 20px;
-    width: 144px;
-    border-top-left-radius: 3px;
-    border-bottom-left-radius: 3px;
-    -moz-border-radius-topleft: 3px;
-    -moz-border-radius-bottomleft: 3px;
-    -webkit-border-top-left-radius: 3px;
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-}
-/* Search button */
-input[type="submit"] {
-    margin: 0 0 0 -1px; /* -1px prevents a double-border with textbox */
-    height: 22px;
-    color: #444;
-    background-color: #e8ecef;
-    padding: 1px 4px;
-    font-weight: bold;
-    border-top-right-radius: 3px;
-    border-bottom-right-radius: 3px;
-    -moz-border-radius-topright: 3px;
-    -moz-border-radius-bottomright: 3px;
-    -webkit-border-top-right-radius: 3px;
-    -webkit-border-bottom-right-radius: 3px;
-}
-input[type="submit"]:hover {
-    color: #ffffff;
-    background-color: #8ecc4c;
-}
-
-div.sphinxsidebar p.searchtip {
-    clear: both;
-    padding: 0.5em 0 0 0;
-    background: #ddd;
-    color: #666;
-    font-size: 0.9em;
-}
-
-/* Sidebar links are unusual */
-div.sphinxsidebar li a,
-div.sphinxsidebar p a {
-    background: #e8ecef; /* In case links overlap main content */
-    border-radius: 3px;
-    -moz-border-radius: 3px;
-    -webkit-border-radius: 3px;
-    border: 1px solid transparent; /* To prevent things jumping around on hover */
-    padding: 0 5px 0 5px;
-}
-div.sphinxsidebar li a:hover,
-div.sphinxsidebar p a:hover {
-    color: #cc4400;
-    text-decoration: none;
-    border: 1px solid #cc4400;
-}
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-div.sphinxsidebar h3 a {
-}
-
-
-
-
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-
-cite, code, tt {
-    font-family: 'Consolas', 'Deja Vu Sans Mono',
-                 'Bitstream Vera Sans Mono', monospace;
-    font-size: 0.95em;
-    letter-spacing: 0.01em;
-}
-
-tt {
-    background-color: #f2f2f2;
-    color: #444;
-}
-
-tt.descname, tt.descclassname, tt.xref {
-    border: 0;
-}
-
-hr {
-    border: 1px solid #abc;
-    margin: 2em;
-}
-
-pre, #_fontwidthtest {
-    font-family: 'Consolas', 'Deja Vu Sans Mono',
-                 'Bitstream Vera Sans Mono', monospace;
-    margin: 1em 2em;
-    font-size: 0.95em;
-    letter-spacing: 0.015em;
-    line-height: 120%;
-    padding: 0.5em;
-    border: 1px solid #ccc;
-    background-color: #eee;
-    border-radius: 6px;
-    -moz-border-radius: 6px;
-    -webkit-border-radius: 6px;
-}
-
-pre a {
-    color: inherit;
-    text-decoration: underline;
-}
-
-td.linenos pre {
-    padding: 0.5em 0;
-}
-
-div.quotebar {
-    background-color: #f8f8f8;
-    max-width: 250px;
-    float: right;
-    padding: 2px 7px;
-    border: 1px solid #ccc;
-}
-
-div.topic {
-    background-color: #f8f8f8;
-}
-
-table {
-    border-collapse: collapse;
-    margin: 0 -0.5em 0 -0.5em;
-}
-
-table td, table th {
-    padding: 0.2em 0.5em 0.2em 0.5em;
-}
-
-
-/* ADMONITIONS AND WARNINGS ------------------------------------------------- */
-
-/* Shared by admonitions and warnings */
-div.admonition, div.warning {
-    font-size: 0.9em;
-    margin: 2em;
-    padding: 0;
-    /*
-    border-radius: 6px;
-    -moz-border-radius: 6px;
-    -webkit-border-radius: 6px;
-    */
-}
-div.admonition p, div.warning p {
-    margin: 0.5em 1em 0.5em 1em;
-    padding: 0;
-}
-div.admonition pre, div.warning pre {
-    margin: 0.4em 1em 0.4em 1em;
-}
-div.admonition p.admonition-title,
-div.warning p.admonition-title {
-    margin: 0;
-    padding: 0.1em 0 0.1em 0.5em;
-    color: white;
-    font-weight: bold;
-    font-size: 1.1em;
-    text-shadow: 0 1px rgba(0, 0, 0, 0.5);
-}
-div.admonition ul, div.admonition ol,
-div.warning ul, div.warning ol {
-    margin: 0.1em 0.5em 0.5em 3em;
-    padding: 0;
-}
-
-
-/* Admonitions only */
-div.admonition {
-    border: 1px solid #609060;
-    background-color: #e9ffe9;
-}
-div.admonition p.admonition-title {
-    background-color: #70A070;
-    border-bottom: 1px solid #609060;
-}
-
-
-/* Warnings only */
-div.warning {
-    border: 1px solid #900000;
-    background-color: #ffe9e9;
-}
-div.warning p.admonition-title {
-    background-color: #b04040;
-    border-bottom: 1px solid #900000;
-}
-
-
-
-div.versioninfo {
-    margin: 1em 0 0 0;
-    border: 1px solid #ccc;
-    background-color: #DDEAF0;
-    padding: 8px;
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-    font-size: 0.9em;
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-
-.viewcode-back {
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-                 'Verdana', sans-serif;
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-
-div.viewcode-block:target {
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-    border-top: 1px solid #ac9;
-    border-bottom: 1px solid #ac9;
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-
-dl {
-    margin: 1em 0 2.5em 0;
-}
-
-/* Highlight target when you click an internal link */
-dt:target {
-    background: #ffe080;
-}
-/* Don't highlight whole divs */
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-    background: transparent;
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-/* But do highlight spans (so search results can be highlighted) */
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-
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-/* MOBILE LAYOUT -------------------------------------------------------------- */
-
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-
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-        position: relative;
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-        margin-left: 0;
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-
-}
-
-/* SPECIAL ELEMENTS  -------------------------------------------------------------- */
-
-.copyrightblock { font-size: 80% }
-.licenseblock { font-weight: bold; text-align: center; }
diff --git a/doc/source/_themes/sphinx_dendropy_theme/theme.conf b/doc/source/_themes/sphinx_dendropy_theme/theme.conf
deleted file mode 100644
index e49d114..0000000
--- a/doc/source/_themes/sphinx_dendropy_theme/theme.conf
+++ /dev/null
@@ -1,3 +0,0 @@
-[theme]
-inherit = classic
-stylesheet = rtd.css
diff --git a/doc/source/acknowledgements.inc b/doc/source/acknowledgements.inc
deleted file mode 100644
index f6b5915..0000000
--- a/doc/source/acknowledgements.inc
+++ /dev/null
@@ -1,5 +0,0 @@
-Acknowledgments
-================
-
-Portions of |DendroPy|_ were developed under `CIPRES <http://www.phylo.org>`_, a multi-site collaboration funded by the `NSF <http://www.nsf.gov/>`_ Information Technology Research (ITR) program grant entitled "`BUILDING THE TREE OF LIFE: A National Resource for Phyloinformatics and Computational Phylogenetics <http://www.phylo.org/about/acknowledgements>`_" and `NSF <http://www.nsf.gov/>`_ ATOL grant 0732920 to Mark Holder.
-
diff --git a/doc/source/changes.rst b/doc/source/changes.rst
deleted file mode 100644
index a3857f8..0000000
--- a/doc/source/changes.rst
+++ /dev/null
@@ -1,3 +0,0 @@
-#######################
-DendroPy Change History
-#######################
diff --git a/doc/source/citation.inc b/doc/source/citation.inc
deleted file mode 100644
index 1179baa..0000000
--- a/doc/source/citation.inc
+++ /dev/null
@@ -1,15 +0,0 @@
-
-Citation
-=========
-
-If you use this library either in whole or in part in your analysis, or use any code derived from it, please cite it as:
-
-    |dendropy_citation|
-
-Note that, in the interests of scientific reproducibility, in addition to noting the primary citation for DendroPy as given above in the reference section, you should note in the text of your publications (e.g., in the "Methods" section, or, at the very least, in the "Supplemental Materials" section) the specific version of DendroPy that you used (e.g., "DendroPy version 4.0.0, revision 78e6a63"). You can get useful information about your DendroPy installation by typing "``python -m dend [...]
-
-If you use or reference any part of this *documentation*, you can cite it as:
-
-    Sukumaran, J. and Mark T. Holder. The DendroPy Phylogenetic Computing Library Documentation. Retrieved |today|, from http://dendropy.org/.
-
-
diff --git a/doc/source/conf.py b/doc/source/conf.py
deleted file mode 100644
index f88ee4e..0000000
--- a/doc/source/conf.py
+++ /dev/null
@@ -1,559 +0,0 @@
-# -*- coding: utf-8 -*-
-#
-# DendroPy documentation build configuration file, created by
-# sphinx-quickstart on Wed Mar 19 16:36:08 2014.
-#
-# This file is execfile()d with the current directory set to its
-# containing dir.
-#
-# Note that not all possible configuration values are present in this
-# autogenerated file.
-#
-# All configuration values have a default; values that are commented out
-# serve to show the default.
-
-import sys
-import os
-import time
-from sphinx.ext import autodoc
-from dendropy import __version__ as PROJECT_VERSION
-
-# -- Sphinx Hackery ------------------------------------------------
-
-# Following allows for a docstring of a method to be inserted "nakedly"
-# (without the signature etc.) into the current context by, for example::
-#
-#       .. autodocstringonly:: dendropy.dataio.newickreader.NewickReader.__init__
-#
-# Based on:
-#
-#   http://stackoverflow.com/questions/7825263/including-docstring-in-sphinx-documentation
-class DocStringOnlyMethodDocumenter(autodoc.MethodDocumenter):
-    objtype = "docstringonly"
-
-    # do not indent the content
-    content_indent = "    "
-
-    # do not add a header to the docstring
-    def add_directive_header(self, sig):
-        pass
-
-    # def add_line(self, line, source, *lineno):
-    #     """Append one line of generated reST to the output."""
-    #     print self.indent + line
-    #     self.directive.result.append(self.indent + line, source, *lineno)
-
-class KeywordArgumentsOnlyMethodDocumenter(autodoc.MethodDocumenter):
-    objtype = "keywordargumentsonly"
-    priority = 0 # do not override normal autodocumenter
-
-    # do not indent the content
-    content_indent = "    "
-
-    # do not add a header to the docstring
-    def add_directive_header(self, sig):
-        pass
-
-    def add_line(self, line, source, *lineno):
-        if ":Keyword Arguments:" in line:
-            line = line.replace(":Keyword Arguments:", "                   ")
-            self._emit_line = True
-        if getattr(self, "_emit_line", False):
-            self.directive.result.append(self.indent + line, source, *lineno)
-
-def setup(app):
-#     app.add_autodocumenter(DocStringOnlyMethodDocumenter)
-    app.add_autodocumenter(KeywordArgumentsOnlyMethodDocumenter)
-
-# If extensions (or modules to document with autodoc) are in another directory,
-# add these directories to sys.path here. If the directory is relative to the
-# documentation root, use os.path.abspath to make it absolute, like shown here.
-#sys.path.insert(0, os.path.abspath('.'))
-
-# -- General configuration ------------------------------------------------
-
-# If your documentation needs a minimal Sphinx version, state it here.
-#needs_sphinx = '1.0'
-
-# Add any Sphinx extension module names here, as strings. They can be
-# extensions coming with Sphinx (named 'sphinx.ext.*') or your custom
-# ones.
-extensions = [
-    'sphinx.ext.autodoc',
-    'sphinx.ext.doctest',
-    'sphinx.ext.intersphinx',
-    'sphinx.ext.todo',
-    'sphinx.ext.coverage',
-    'sphinx.ext.mathjax',
-    'sphinx.ext.ifconfig',
-    'sphinx.ext.viewcode',
-    'sphinx.ext.autosummary',
-    'sphinxcontrib.napoleon', # requires: pip install sphinxcontrib-napoleon
-    # 'numpydoc', # requires: pip install numpydoc
-]
-
-# If 'both', then class docstring and class.__init__() docstring combined for
-# class documentation.
-# If 'init', then only class.__init__() docstring shown for class documentation
-# (class docstring omitted).
-# If not specified, then only class docstring shown for class documentation
-# (__init__ docstring omitted).
-autoclass_content = 'both' # or 'init'
-
-# numpydoc settings
-# numpydoc_show_class_members = False
-# numpydoc_class_members_toctree = False
-
-# Napoleon settings
-# napoleon_google_docstring = True
-# napoleon_numpy_docstring = True
-napoleon_include_private_with_doc = False
-napoleon_include_special_with_doc = True
-# napoleon_use_admonition_for_examples = False
-# napoleon_use_admonition_for_notes = False
-# napoleon_use_admonition_for_references = False
-# napoleon_use_ivar = False
-# napoleon_use_param = False
-napoleon_use_rtype = False
-
-# Add any paths that contain templates here, relative to this directory.
-templates_path = ['_templates']
-
-# The suffix of source filenames.
-source_suffix = '.rst'
-
-# The encoding of source files.
-#source_encoding = 'utf-8-sig'
-
-# The master toctree document.
-master_doc = 'index'
-
-# General information about the project.
-project = u'DendroPy'
-copyright = u'2009-{}, Jeet Sukumaran and Mark T. Holder'.format(time.strftime('%Y'))
-
-# The version info for the project you're documenting, acts as replacement for
-# |version| and |release|, also used in various other places throughout the
-# built documents.
-#
-# The short X.Y version.
-version = PROJECT_VERSION
-# The full version, including alpha/beta/rc tags.
-release = PROJECT_VERSION
-
-# The language for content autogenerated by Sphinx. Refer to documentation
-# for a list of supported languages.
-#language = None
-
-# There are two options for replacing |today|: either, you set today to some
-# non-false value, then it is used:
-#today = ''
-# Else, today_fmt is used as the format for a strftime call.
-#today_fmt = '%B %d, %Y'
-
-# List of patterns, relative to source directory, that match files and
-# directories to ignore when looking for source files.
-exclude_patterns = []
-
-# The reST default role (used for this markup: `text`) to use for all
-# documents.
-default_role = "any"
-
-# If true, '()' will be appended to :func: etc. cross-reference text.
-add_function_parentheses = False
-
-# If true, the current module name will be prepended to all description
-# unit titles (such as .. function::).
-#add_module_names = True
-
-# If true, sectionauthor and moduleauthor directives will be shown in the
-# output. They are ignored by default.
-#show_authors = False
-
-# The name of the Pygments (syntax highlighting) style to use.
-pygments_style = 'sphinx'
-
-# A list of ignored prefixes for module index sorting.
-#modindex_common_prefix = []
-
-# If true, keep warnings as "system message" paragraphs in the built documents.
-#keep_warnings = False
-
-rst_prolog = """
-.. |js| replace:: Jeet Sukumaran
-.. _js: http://www.jeetworks.org/about
-.. |mth| replace:: Mark T. Holder
-.. _mth: http://people.ku.edu/~mtholder
-
-.. |DendroPy| replace:: DendroPy
-.. _DendroPy: http://www.dendropy.org/
-.. |dendropy_homepage_url| replace:: http://www.dendropy.org/
-.. |dendropy_primer_url| replace:: http://www.dendropy.org/primer/index.html
-.. |dendropy_library_url| replace:: http://www.dendropy.org/library/index.html
-.. |dendropy_download_url| replace:: http://pypi.python.org/pypi/DendroPy
-.. |dendropy_public_repo_url| replace:: http://github.com/jeetsukumaran/DendroPy
-
-.. |Python| replace:: Python
-.. _Python: http://www.python.org/
-.. |Python26| replace:: Python 2.6
-.. _Python 2.6: http://www.python.org/download/releases/2.6/
-.. |Python27| replace:: Python 2.7
-.. _Python 2.7: http://www.python.org/download/releases/2.7/
-.. |Python34| replace:: Python 3.4.0
-.. _Python 3.4.0: https://www.python.org/download/releases/3.4.0/
-.. |Python2| replace:: Python 2
-.. _Python 2: http://www.python.org/download/releases/2.7/
-.. |Python3| replace:: Python 3
-.. _Python 3: https://www.python.org/download/releases/3.4.0/
-.. |setuptools| replace:: setuptools
-.. _setuptools: http://pypi.python.org/pypi/setuptools
-.. |pip| replace:: pip
-.. _pip: http://pypi.python.org/pypi/pip
-.. |Git| replace:: Git
-.. _Git: http://git-scm.com/
-
-.. |dendropy_logo| replace:: /_static/dendropy_logo.png
-.. |dendropy_library_doc| replace:: /library/index
-.. |dendropy_primer_doc| replace:: /primer/index
-.. |sumtrees_doc| replace:: /programs/sumtrees
-
-.. |dendropy_announce| replace:: DendroPy Announcements
-.. _dendropy_announce: http://groups.google.com/group/dendropy-announce
-.. |dendropy_users| replace:: DendroPy Users
-.. _dendropy_users: http://groups.google.com/group/dendropy-users
-.. |dendropy_issues| replace:: DendroPy Issues
-.. _dendropy_issues: https://github.com/jeetsukumaran/DendroPy/issues
-
-.. |Taxon| replace:: :class:`~dendropy.datamodel.taxonmodel.Taxon`
-.. |TaxonNamespace| replace:: :class:`~dendropy.datamodel.taxonmodel.TaxonNamespace`
-.. |TaxonNamespaceMapping| replace:: :class:`~dendropy.datamodel.taxonmodel.TaxonNamespaceMapping`
-.. |Tree| replace:: :class:`~dendropy.datamodel.treemodel.Tree`
-.. |Node| replace:: :class:`~dendropy.datamodel.treemodel.Node`
-.. |Edge| replace:: :class:`~dendropy.datamodel.treemodel.Edge`
-.. |Bipartition| replace:: :class:`~dendropy.datamodel.treemodel.Bipartition`
-.. |TreeList| replace:: :class:`~dendropy.datamodel.treecollectionmodel.TreeList`
-.. |TreeArray| replace:: :class:`~dendropy.datamodel.treecollectionmodel.TreeArray`
-.. |SplitDistribution| replace:: :class:`~dendropy.datamodel.treecollectionmodel.SplitDistribution`
-.. |SplitDistributionSummarizer| replace:: :class:`~dendropy.datamodel.treecollectionmodel.SplitDistributionSummarizer`
-.. |DataSet| replace:: :class:`~dendropy.datamodel.datasetmodel.DataSet`
-.. |StateIdentity| replace:: :class:`~dendropy.datamodel.charstatemodel.StateIdentity`
-.. |StateAlphabet| replace:: :class:`~dendropy.datamodel.charstatemodel.StateAlphabet`
-.. |CharacterMatrix| replace:: :class:`~dendropy.datamodel.charmatrixmodel.CharacterMatrix`
-.. |DnaCharacterMatrix| replace:: :class:`~dendropy.datamodel.charmatrixmodel.DnaCharacterMatrix`
-.. |RnaCharacterMatrix| replace:: :class:`~dendropy.datamodel.charmatrixmodel.RnaCharacterMatrix`
-.. |ProteinCharacterMatrix| replace:: :class:`~dendropy.datamodel.charmatrixmodel.ProteinCharacterMatrix`
-.. |InfiniteSitesCharacterMatrix| replace:: :class:`~dendropy.datamodel.charmatrixmodel.InfiniteSitesCharacterMatrix`
-.. |RestrictionSitesCharacterMatrix| replace:: :class:`~dendropy.datamodel.charmatrixmodel.RestrictionSitesCharacterMatrix`
-.. |StandardCharacterMatrix| replace:: :class:`~dendropy.datamodel.charmatrixmodel.StandardCharacterMatrix`
-.. |ContinuousCharacterMatrix| replace:: :class:`~dendropy.datamodel.charmatrixmodel.ContinuousCharacterMatrix`
-.. |CharacterDataSequence| replace:: :class:`~dendropy.datamodel.charmatrixmodel.CharacterDataSequence`
-.. |ContinuousCharacterDataSequence| replace:: :class:`~dendropy.datamodel.charmatrixmodel.ContinuousCharacterDataSequence`
-.. |DnaCharacterDataSequence| replace:: :class:`~dendropy.datamodel.charmatrixmodel.DnaCharacterDataSequence`
-.. |CharacterType| replace:: :class:`~dendropy.datamodel.charmatrixmodel.CharacterType`
-.. |Annotation| replace:: :class:`~dendropy.datamodel.basemodel.Annotation`
-.. |AnnotationSet| replace:: :class:`~dendropy.datamodel.basemodel.AnnotationSet`
-.. |Annotable| replace:: :class:`~dendropy.datamodel.basemodel.Annotable`
-
-.. |get| replace::  :py:meth:`get`
-.. |put| replace::  :py:meth:`put`
-.. |read| replace::  :py:meth:`read`
-.. |write| replace::  :py:meth:`write`
-
-.. |get_from_methods| replace::  :py:meth:`get_from_*() <get_from_*>`
-.. |read_from_methods| replace::  :py:meth:`read_from_*() <read_from_*>`
-.. |write_to_methods| replace::  :py:meth:`write_to_*() <read_from_*>`
-
-.. |True| replace:: `True`
-.. |False| replace:: `False`
-.. |None| replace:: `None`
-
-.. |FigTree| replace:: FigTree
-.. _FigTree: http://tree.bio.ed.ac.uk/software/figtree/
-.. |RAxML| replace:: RAxML
-.. _RAxML: http://sco.h-its.org/exelixis/software.html
-.. |SeqGen| replace:: Seq-Gen
-.. _SeqGen: http://tree.bio.ed.ac.uk/software/seqgen/
-.. |GenBank| replace:: GenBank
-.. _GenBank: http://www.ncbi.nlm.nih.gov/genbank/
-
-.. |Schemas| replace:: :doc:`/schemas/index`
-.. |FASTA| replace:: :doc:`/schemas/fasta`
-.. |Newick| replace:: :doc:`/schemas/newick`
-.. |Nexus| replace:: :doc:`/schemas/nexus`
-.. |NeXML| replace:: :doc:`/schemas/nexml`
-.. |Phylip| replace:: :doc:`/schemas/phylip`
-
-"""
-
-rst_prolog += """\
-.. |dendropy_source_archive_url| replace:: http://pypi.python.org/packages/source/D/DendroPy/DendroPy-%s.tar.gz
-.. |dendropy_source_archive| replace:: DendroPy source code archive
-.. _dendropy_source_archive: http://pypi.python.org/packages/source/D/DendroPy/DendroPy-%s.tar.gz
-""" % (version, version)
-
-rst_prolog += """\
-.. |dendropy_citation| replace:: Sukumaran, J. and Mark T. Holder. 2010. DendroPy: A Python library for phylogenetic computing. *Bioinformatics* 26: 1569-1571.
-.. |dendropy_copyright| replace:: Copyright {copyright}. All rights reserved.
-.. |
-""".format(copyright=copyright)
-
-# -- Options for HTML output ----------------------------------------------
-
-# The theme to use for HTML and HTML Help pages.  See the documentation for
-# a list of builtin themes.
-html_theme = 'sphinx_dendropy_theme'
-
-# Theme options are theme-specific and customize the look and feel of a theme
-# further.  For a list of options available for each theme, see the
-# documentation.
-#html_theme_options = {}
-
-# Add any paths that contain custom themes here, relative to this directory.
-html_theme_path = ["_themes"]
-
-# The name for this set of Sphinx documents.  If None, it defaults to
-# "<project> v<release> documentation".
-#html_title = None
-
-# A shorter title for the navigation bar.  Default is the same as html_title.
-#html_short_title = None
-
-# The name of an image file (relative to this directory) to place at the top
-# of the sidebar.
-# html_logo = "_static/dendropy_logo.png"
-
-# The name of an image file (within the static path) to use as favicon of the
-# docs.  This file should be a Windows icon file (.ico) being 16x16 or 32x32
-# pixels large.
-#html_favicon = None
-
-# Add any paths that contain custom static files (such as style sheets) here,
-# relative to this directory. They are copied after the builtin static files,
-# so a file named "default.css" will overwrite the builtin "default.css".
-html_static_path = ['_static']
-
-# Add any extra paths that contain custom files (such as robots.txt or
-# .htaccess) here, relative to this directory. These files are copied
-# directly to the root of the documentation.
-#html_extra_path = []
-
-# If not '', a 'Last updated on:' timestamp is inserted at every page bottom,
-# using the given strftime format.
-#html_last_updated_fmt = '%b %d, %Y'
-
-# If true, SmartyPants will be used to convert quotes and dashes to
-# typographically correct entities.
-#html_use_smartypants = True
-
-# Custom sidebar templates, maps document names to template names.
-html_sidebars = {
-    "**" : ["logo.html", "searchbox.html", "localtoc.html", "relations.html", "side_supplemental.html"],
-}
-
-# Additional templates that should be rendered to pages, maps page names to
-# template names.
-#html_additional_pages = {}
-
-# If false, no module index is generated.
-#html_domain_indices = True
-
-# If false, no index is generated.
-#html_use_index = True
-
-# If true, the index is split into individual pages for each letter.
-#html_split_index = False
-
-# If true, links to the reST sources are added to the pages.
-html_show_sourcelink = False
-
-# If true, "Created using Sphinx" is shown in the HTML footer. Default is True.
-html_show_sphinx = False
-
-# If true, "(C) Copyright ..." is shown in the HTML footer. Default is True.
-#html_show_copyright = True
-
-# If true, an OpenSearch description file will be output, and all pages will
-# contain a <link> tag referring to it.  The value of this option must be the
-# base URL from which the finished HTML is served.
-#html_use_opensearch = ''
-
-# This is the file name suffix for HTML files (e.g. ".xhtml").
-#html_file_suffix = None
-
-# Output file base name for HTML help builder.
-htmlhelp_basename = 'DendroPydoc'
-
-
-# -- Options for LaTeX output ---------------------------------------------
-
-latex_elements = {
-# The paper size ('letterpaper' or 'a4paper').
-#'papersize': 'letterpaper',
-
-# The font size ('10pt', '11pt' or '12pt').
-#'pointsize': '10pt',
-
-# Additional stuff for the LaTeX preamble.
-#'preamble': '',
-}
-
-# Grouping the document tree into LaTeX files. List of tuples
-# (source start file, target name, title,
-#  author, documentclass [howto, manual, or own class]).
-# latex_documents = [
-#   ('index', 'DendroPy.tex', u'DendroPy Documentation',
-#    u'Jeet Sukumaran and Mark T. Holder', 'manual'),
-# ]
-latex_documents = [
-  ('index', 'DendroPy.tex', u'DendroPy Documentation',
-   u'Jeet Sukumaran and Mark T. Holder', 'manual'),
-  ('primer/index', 'DendroPy-Primer.tex', u'DendroPy Primer',
-   u'Jeet Sukumaran and Mark T. Holder', 'manual'),
-  ('library/index', 'DendroPy-Library-API.tex', u'DendroPy Library API Reference',
-   u'Jeet Sukumaran and Mark T. Holder', 'manual'),
-  ('programs/sumtrees', 'DendroPy-SumTrees.tex', u'SumTrees User Manual',
-   u'Jeet Sukumaran and Mark T. Holder', 'manual'),
-]
-
-# The name of an image file (relative to this directory) to place at the top of
-# the title page.
-#latex_logo = None
-
-# For "manual" documents, if this is true, then toplevel headings are parts,
-# not chapters.
-#latex_use_parts = False
-
-# If true, show page references after internal links.
-#latex_show_pagerefs = False
-
-# If true, show URL addresses after external links.
-#latex_show_urls = False
-
-# Documents to append as an appendix to all manuals.
-#latex_appendices = []
-
-# If false, no module index is generated.
-#latex_domain_indices = True
-
-
-# -- Options for manual page output ---------------------------------------
-
-# One entry per manual page. List of tuples
-# (source start file, name, description, authors, manual section).
-man_pages = [
-    # ('index', 'dendropy', u'DendroPy Documentation',
-    #  [u'Jeet Sukumaran and Mark T. Holder'], 1),
-    ('library/index', 'dendropy', u'DendroPy Library API Reference',
-     [u'Jeet Sukumaran and Mark T. Holder'], 1),
-    ('primer/index', 'dendropy-primer', u'DendroPy Primer',
-     [u'Jeet Sukumaran and Mark T. Holder'], 1),
-    ('programs/sumtrees', 'sumtrees', u'SumTrees User Manual',
-     [u'Jeet Sukumaran and Mark T. Holder'], 1),
-]
-
-# If true, show URL addresses after external links.
-#man_show_urls = False
-
-
-# -- Options for Texinfo output -------------------------------------------
-
-# Grouping the document tree into Texinfo files. List of tuples
-# (source start file, target name, title, author,
-#  dir menu entry, description, category)
-texinfo_documents = [
-  ('library/index', 'DendroPy', u'DendroPy Documentation',
-   u'Jeet Sukumaran and Mark T. Holder', 'DendroPy', 'Python library for phylogenetic computing',
-   'Miscellaneous'),
-  ('primer/index', 'DendroPy-Primer', u'DendroPy Primer',
-   u'Jeet Sukumaran and Mark T. Holder', 'DendroPy', 'Python library for phylogenetic computing',
-   'Miscellaneous'),
-  ('programs/sumtrees', 'SumTrees', u'SumTrees Documentation',
-   u'Jeet Sukumaran and Mark T. Holder', 'DendroPy', 'Python library for phylogenetic computing',
-   'Miscellaneous'),
-]
-
-# Documents to append as an appendix to all manuals.
-#texinfo_appendices = []
-
-# If false, no module index is generated.
-#texinfo_domain_indices = True
-
-# How to display URL addresses: 'footnote', 'no', or 'inline'.
-#texinfo_show_urls = 'footnote'
-
-# If true, do not generate a @detailmenu in the "Top" node's menu.
-#texinfo_no_detailmenu = False
-
-
-# -- Options for Epub output ----------------------------------------------
-
-# Bibliographic Dublin Core info.
-epub_title = u'DendroPy'
-epub_author = u'Jeet Sukumaran and Mark T. Holder'
-epub_publisher = u'Jeet Sukumaran and Mark T. Holder'
-epub_copyright = u'2015, Jeet Sukumaran and Mark T. Holder'
-
-# The basename for the epub file. It defaults to the project name.
-#epub_basename = u'DendroPy'
-
-# The HTML theme for the epub output. Since the default themes are not optimized
-# for small screen space, using the same theme for HTML and epub output is
-# usually not wise. This defaults to 'epub', a theme designed to save visual
-# space.
-#epub_theme = 'epub'
-
-# The language of the text. It defaults to the language option
-# or en if the language is not set.
-#epub_language = ''
-
-# The scheme of the identifier. Typical schemes are ISBN or URL.
-#epub_scheme = ''
-
-# The unique identifier of the text. This can be a ISBN number
-# or the project homepage.
-#epub_identifier = ''
-
-# A unique identification for the text.
-#epub_uid = ''
-
-# A tuple containing the cover image and cover page html template filenames.
-#epub_cover = ()
-
-# A sequence of (type, uri, title) tuples for the guide element of content.opf.
-#epub_guide = ()
-
-# HTML files that should be inserted before the pages created by sphinx.
-# The format is a list of tuples containing the path and title.
-#epub_pre_files = []
-
-# HTML files shat should be inserted after the pages created by sphinx.
-# The format is a list of tuples containing the path and title.
-#epub_post_files = []
-
-# A list of files that should not be packed into the epub file.
-epub_exclude_files = ['search.html']
-
-# The depth of the table of contents in toc.ncx.
-#epub_tocdepth = 3
-
-# Allow duplicate toc entries.
-#epub_tocdup = True
-
-# Choose between 'default' and 'includehidden'.
-#epub_tocscope = 'default'
-
-# Fix unsupported image types using the PIL.
-#epub_fix_images = False
-
-# Scale large images.
-#epub_max_image_width = 0
-
-# How to display URL addresses: 'footnote', 'no', or 'inline'.
-#epub_show_urls = 'inline'
-
-# If false, no index is generated.
-#epub_use_index = True
-
-
-# Example configuration for intersphinx: refer to the Python standard library.
-intersphinx_mapping = {'http://docs.python.org/': None}
diff --git a/doc/source/downloading.rst b/doc/source/downloading.rst
deleted file mode 100644
index 6a94f50..0000000
--- a/doc/source/downloading.rst
+++ /dev/null
@@ -1,51 +0,0 @@
-###################################
-Downloading and Installing DendroPy
-###################################
-
-DendroPy can be installed directly from the `Python Package Index <http://pypi.python.org/pypi/DendroPy/>`_ using a package manager such as |pip|_ or |setuptools|_, or alternatively the source code can be downloaded and manually installed.
-
-Installing From the Python Package Index
-========================================
-
-DendroPy is "easy_installable" directly from the `Python Package Index <http://pypi.python.org/pypi/DendroPy/>`_.
-If you have |pip|_ set up on your system, you can install the latest release of DendroPy by running::
-
-    $ sudo pip install -U dendropy
-
-If you do not have |pip|_ installed, you should *definitely* `install it <https://pip.pypa.io/en/latest/installing.html>`_ !
-Note: the "``sudo``" command should only be used if installing system-wide on a machine on which you have administrative privileges. Otherwise, you would use the "``--user``" flag for a local user install::
-
-    $ pip install --user -U dendropy
-
-Source Download and Installation
-================================
-
-The latest release of DendroPy (|version|), can be downloaded directly from here:
-
-    |dendropy_source_archive_url|
-
-Once downloaded, it can be installed by running:
-
-.. parsed-literal::
-
-    $ tar -xvzf DendroPy-|version|.tar.gz
-    $ cd DendroPy-|version|
-    $ sudo python setup.py install
-
-Cloning the Source Code Repository
-==================================
-
-The DendroPy source code is version-controlled using |Git|_, and the `DendroPy Git repository <http://github.com/jeetsukumaran/DendroPy>`_ can be cloned by running::
-
-    $ git clone git://github.com/jeetsukumaran/DendroPy.git
-
-If you plan to use this repository code as you main library code, you probably want to install DendroPy in developer mode::
-
-    $ cd DendroPy
-    $ sudo python setup.py develop
-
-You will, of course, need to get yourself |Git|_ for the above to work:
-
-    - `Source <http://www.kernel.org/pub/software/scm/git/git-1.6.6.tar.gz>`_
-    - `OS X binaries <http://code.google.com/p/git-osx-installer/downloads/list?can=3>`_
-    - `Microsoft Windows <http://code.google.com/p/msysgit/downloads/list>`_
diff --git a/doc/source/examples/bdtree_multi1.py b/doc/source/examples/bdtree_multi1.py
deleted file mode 100644
index c23b7ac..0000000
--- a/doc/source/examples/bdtree_multi1.py
+++ /dev/null
@@ -1,22 +0,0 @@
-# /usr/bin/env python
-
-import random
-import dendropy
-from dendropy.simulate import treesim
-
-def generate(birth_rates, death_rates):
-    assert len(birth_rates) == len(death_rates)
-    tree = dendropy.Tree()
-    for i, br in enumerate(birth_rates):
-        tree = treesim.birth_death_tree(birth_rates[i],
-                                   death_rates[i],
-                                   max_time=random.randint(1,8),
-                                   tree=tree,
-                                   assign_taxa=False,
-                                   repeat_until_success=True)
-        print(tree.as_string(schema='newick'))
-    tree.randomly_assign_taxa(create_required_taxa=True)
-    return tree
-
-tree = generate([0.1, 0.6, 0.1], [0.1, 0.6, 0.1])
-print(tree.as_string(schema='newick'))
diff --git a/doc/source/examples/bdtree_multi2.py b/doc/source/examples/bdtree_multi2.py
deleted file mode 100644
index 0734e0e..0000000
--- a/doc/source/examples/bdtree_multi2.py
+++ /dev/null
@@ -1,20 +0,0 @@
-#! /usr/bin/env python
-
-import random
-import dendropy
-from dendropy.simulate import treesim
-
-def generate(mean, sd, num_periods):
-    tree = dendropy.Tree()
-    for i in range(num_periods):
-        tree = treesim.birth_death_tree(birth_rate=random.gauss(mean, sd),
-                                   death_rate=random.gauss(mean, sd),
-                                   max_time=random.randint(1,5),
-                                   tree=tree,
-                                   assign_taxa=False,
-                                   repeat_until_success=True)
-    tree.randomly_assign_taxa(create_required_taxa=True)
-    return tree
-
-tree = generate(0.1, 0.01, 100)
-print(tree.as_string(schema='newick'))
diff --git a/doc/source/examples/bibtex_annotations1.py b/doc/source/examples/bibtex_annotations1.py
deleted file mode 100644
index 3d82f09..0000000
--- a/doc/source/examples/bibtex_annotations1.py
+++ /dev/null
@@ -1,24 +0,0 @@
-#! /usr/bin/env python
-
-import dendropy
-
-citation = """\
- at article{HeathHH2012,
-	Author = {Tracy A. Heath and Mark T. Holder and John P. Huelsenbeck},
-	Doi = {10.1093/molbev/msr255},
-	Journal = {Molecular Biology and Evolution},
-	Number = {3},
-	Pages = {939-955},
-	Title = {A {Dirichlet} Process Prior for Estimating Lineage-Specific Substitution Rates.},
-	Url = {http://mbe.oxfordjournals.org/content/early/2011/11/04/molbev.msr255.abstract},
-	Volume = {29},
-	Year = {2012}
-	}
-"""
-
-
-dataset = dendropy.DataSet.get(
-        data="(A,(B,(C,(D,E))));",
-        schema="newick")
-dataset.annotations.add_citation(citation)
-print dataset.as_string(schema="nexml")
diff --git a/doc/source/examples/bibtex_annotations2.py b/doc/source/examples/bibtex_annotations2.py
deleted file mode 100644
index c8cf187..0000000
--- a/doc/source/examples/bibtex_annotations2.py
+++ /dev/null
@@ -1,23 +0,0 @@
-#! /usr/bin/env python
-
-import dendropy
-
-citation = {
-    "BibType": "article",
-    "Author": "Tracy A. Heath and Mark T. Holder and John P. Huelsenbeck",
-    "Doi": "10.1093/molbev/msr255",
-    "Journal": "Molecular Biology and Evolution",
-    "Number": "3",
-    "Pages": "939-955",
-    "Title": "A {Dirichlet} Process Prior for Estimating Lineage-Specific Substitution Rates.",
-    "Url": "http://mbe.oxfordjournals.org/content/early/2011/11/04/molbev.msr255.abstract",
-    "Volume": "29",
-    "Year": "2012",
-}
-
-
-dataset = dendropy.DataSet.get(
-        data="(A,(B,(C,(D,E))));",
-        schema="newick")
-dataset.annotations.add_citation(citation)
-print dataset.as_string(schema="nexml")
diff --git a/doc/source/examples/bibtex_annotations3.py b/doc/source/examples/bibtex_annotations3.py
deleted file mode 100644
index 98f5570..0000000
--- a/doc/source/examples/bibtex_annotations3.py
+++ /dev/null
@@ -1,29 +0,0 @@
-#! /usr/bin/env python
-
-import dendropy
-
-citation = """\
- at article {MEN:MEN2925,
-author = {BROWN, JEREMY M. and SAVIDGE, KEVIN and McTAVISH, EMILY JANE B.},
-title = {DIM SUM: demography and individual migration simulated using a Markov chain},
-journal = {Molecular Ecology Resources},
-volume = {11},
-number = {2},
-publisher = {Blackwell Publishing Ltd},
-issn = {1755-0998},
-url = {http://dx.doi.org/10.1111/j.1755-0998.2010.02925.x},
-doi = {10.1111/j.1755-0998.2010.02925.x},
-pages = {358--363},
-keywords = {dispersal, Markov chain, migration, phylogeography, simulation},
-year = {2011},
-}
-"""
-
-dataset = dendropy.DataSet.get(
-        data="(A,(B,(C,(D,E))));",
-        schema="newick")
-dataset.annotations.add_citation(citation,
-        store_as="prism")
-dataset.annotations.add_citation(citation,
-        store_as="dublin")
-print dataset.as_string(schema="nexml")
diff --git a/doc/source/examples/build_tree_programmatically.py b/doc/source/examples/build_tree_programmatically.py
deleted file mode 100644
index 491d19e..0000000
--- a/doc/source/examples/build_tree_programmatically.py
+++ /dev/null
@@ -1,51 +0,0 @@
-import dendropy
-
-taxon_namespace = dendropy.TaxonNamespace(["A", "B", "C", "D",])
-tree = dendropy.Tree(taxon_namespace=taxon_namespace)
-
-
-# Create and add a new child node to the seed node,
-# assigning it an edge length:
-#
-#     (seed)
-#      /
-#     /
-#    ch1
-#
-ch1 = tree.seed_node.new_child()
-ch1.edge.length = 1
-
-# Can also assign edge length on construction:
-#
-#     (seed)
-#      / \
-#     /   \
-#   ch1   ch2
-#
-ch2 = tree.seed_node.new_child(edge_length=1)
-
-# Can also add an existing node as child
-#
-#       (seed)
-#       /   \
-#      /     \
-#    ch1     ch2
-#   /  \     /  \
-#  ch3 ch4  ch5 ch6
-ch3 = dendropy.Node(edge_length=1)
-ch4 = dendropy.Node(edge_length=2)
-ch1.add_child(ch3)
-ch1.add_child(ch4)
-ch5 = dendropy.Node(edge_length=1)
-ch6 = dendropy.Node(edge_length=2)
-# Note: this clears/deletes existing child nodes before adding the new ones;
-ch2.set_child_nodes([ch5, ch6])
-
-# Assign taxa
-ch3.taxon = taxon_namespace.get_taxon("A")
-ch4.taxon = taxon_namespace.get_taxon("B")
-ch5.taxon = taxon_namespace.get_taxon("C")
-ch6.taxon = taxon_namespace.get_taxon("D")
-
-print(tree.as_string("newick"))
-print(tree.as_ascii_plot())
diff --git a/doc/source/examples/char_mat_concat.py b/doc/source/examples/char_mat_concat.py
deleted file mode 100644
index 6fa8c0a..0000000
--- a/doc/source/examples/char_mat_concat.py
+++ /dev/null
@@ -1,20 +0,0 @@
-import dendropy
-taxa = dendropy.TaxonNamespace()
-d1 = dendropy.DnaCharacterMatrix.get(
-        path="primates.chars.subsets-1stpos.nexus",
-        schema="nexus",
-        taxon_namespace=taxa)
-print("d1: {} sequences, {} characters".format(len(d1), d1.max_sequence_size))
-d2 = dendropy.DnaCharacterMatrix.get(
-        path="primates.chars.subsets-2ndpos.nexus",
-        schema="nexus",
-        taxon_namespace=taxa)
-print("d2: {} sequences, {} characters".format(len(d2), d2.max_sequence_size))
-d3 = dendropy.DnaCharacterMatrix.get(
-        path="primates.chars.subsets-3rdpos.nexus",
-        schema="nexus",
-        taxon_namespace=taxa)
-print("d3: {} sequences, {} characters".format(len(d3), d3.max_sequence_size))
-d_all = dendropy.DnaCharacterMatrix.concatenate([d1,d2,d3])
-print("d_all: {} sequences, {} characters".format(len(d_all), d_all.max_sequence_size))
-print("Subsets: {}".format(d_all.character_subsets))
diff --git a/doc/source/examples/char_mat_concat2.py b/doc/source/examples/char_mat_concat2.py
deleted file mode 100644
index 7553120..0000000
--- a/doc/source/examples/char_mat_concat2.py
+++ /dev/null
@@ -1,12 +0,0 @@
-import dendropy
-taxa = dendropy.TaxonNamespace()
-paths = [
-        "primates.chars.subsets-1stpos.nexus",
-        "primates.chars.subsets-2ndpos.nexus",
-        "primates.chars.subsets-3rdpos.nexus",
-        ]
-d_all = dendropy.DnaCharacterMatrix.concatenate_from_paths(
-        paths=paths,
-        schema="nexus")
-print("d_all: {} sequences, {} characters".format(len(d_all), d_all.max_sequence_size))
-print("Subsets: {}".format(d_all.character_subsets))
diff --git a/doc/source/examples/chars_access1.py b/doc/source/examples/chars_access1.py
deleted file mode 100644
index e29d683..0000000
--- a/doc/source/examples/chars_access1.py
+++ /dev/null
@@ -1,18 +0,0 @@
-import dendropy
-
-dna = dendropy.DnaCharacterMatrix.get(
-        path="primates.chars.nexus",
-        schema="nexus")
-
-# access by dereferencing taxon label
-s1 = dna["Macaca sylvanus"]
-
-# access by taxon index
-s2 = dna[0]
-s3 = dna[4]
-s4 = dna[-2]
-
-# access by taxon instance
-t = dna.taxon_namespace.get_taxon(label="Macaca sylvanus")
-s5 = dna[t]
-
diff --git a/doc/source/examples/chars_access2.py b/doc/source/examples/chars_access2.py
deleted file mode 100644
index 86d28d1..0000000
--- a/doc/source/examples/chars_access2.py
+++ /dev/null
@@ -1,18 +0,0 @@
-import dendropy
-
-dna = dendropy.DnaCharacterMatrix.get(
-        path="primates.chars.nexus",
-        schema="nexus")
-
-# iterate over taxa
-for taxon in dna:
-    print("{}: {}".format(taxon.label, dna[taxon]))
-
-# iterate over the sequences
-for seq in dna.values():
-    print(seq)
-
-# iterate over taxon/sequence pairs
-for taxon, seq in dna.items():
-    print("{}: {}".format(taxon.label, seq))
-
diff --git a/doc/source/examples/chars_access3.py b/doc/source/examples/chars_access3.py
deleted file mode 100644
index 171fed3..0000000
--- a/doc/source/examples/chars_access3.py
+++ /dev/null
@@ -1,32 +0,0 @@
-import dendropy
-
-cc = dendropy.ContinuousCharacterMatrix.get(
-        path="pythonidae_continuous.chars.nexml",
-        schema="nexml")
-
-s1 = cc[0]
-
-print(type(s1))
-# <class 'dendropy.datamodel.charmatrixmodel.ContinuousCharacterDataSequence'>
-
-print(len(s1))
-# 100
-
-for v in s1:
-    print("{}, {}".format(type(v), str(v)))
-# <type 'float'>, -0.0230088801573
-# <type 'float'>, -0.327376261257
-# <type 'float'>, -0.483676644025
-# ...
-# ...
-
-print(s1.values())
-# [-0.0230088801573, -0.327376261257, -0.483676644025, ...
-
-print(s1.symbols_as_list())
-# ['-0.0230088801573', '-0.327376261257', '-0.483676644025', ...
-
-print(s1.symbols_as_string())
-# -0.0230088801573 -0.327376261257 -0.483676644025 0.0868649474847 ...
-
-
diff --git a/doc/source/examples/chars_access4.py b/doc/source/examples/chars_access4.py
deleted file mode 100644
index daeb5a0..0000000
--- a/doc/source/examples/chars_access4.py
+++ /dev/null
@@ -1,32 +0,0 @@
-import dendropy
-
-dna = dendropy.DnaCharacterMatrix.get(
-        path="primates.chars.nexus",
-        schema="nexus")
-
-s1 = dna[0]
-
-print(type(s1))
-# <class 'dendropy.datamodel.charmatrixmodel.DnaCharacterDataSequence'>
-
-print(len(s1))
-# 898
-
-for v in s1:
-    print("{}, {}".format(repr(v), str(v)))
-# <<StateIdentity at 0x10134a290: 'A'>, A
-# <<StateIdentity at 0x10134a290: 'A'>, A
-# <<StateIdentity at 0x10134a350: 'G'>, G
-# ...
-# ...
-
-print(s1.values())
-# [<StateIdentity at 0x101b4a290: 'A'>, <StateIdentity at 0x101b4a290: 'A'>, <StateIdentity at 0x101b4a350: 'G'>, ...
-
-print(s1.symbols_as_list())
-# ['A', 'A', 'G', 'C', 'T', 'T', 'C', 'A', 'T', ...
-
-print(s1.symbols_as_string())
-# AAGCTTCATAGGAGCAACCATTCT ...
-
-
diff --git a/doc/source/examples/contained_coalescent1.py b/doc/source/examples/contained_coalescent1.py
deleted file mode 100644
index 129a72e..0000000
--- a/doc/source/examples/contained_coalescent1.py
+++ /dev/null
@@ -1,19 +0,0 @@
-#! /usr/bin/env python
-
-import dendropy
-from dendropy.simulate import treesim
-
-
-sp_tree_str = """\
-[&R] (A:10,(B:6,(C:4,(D:2,E:2):2):2):4);
-"""
-
-sp_tree = dendropy.Tree.get(data=sp_tree_str, schema="newick")
-gene_to_species_map = dendropy.TaxonNamespaceMapping.create_contained_taxon_mapping(
-        containing_taxon_namespace=sp_tree.taxon_namespace,
-        num_contained=3)
-gene_tree = treesim.contained_coalescent_tree(containing_tree=sp_tree,
-    gene_to_containing_taxon_map=gene_to_species_map)
-print(gene_tree.as_string(schema='newick'))
-print(gene_tree.as_ascii_plot())
-
diff --git a/doc/source/examples/contained_coalescent2.py b/doc/source/examples/contained_coalescent2.py
deleted file mode 100644
index 6efbb0f..0000000
--- a/doc/source/examples/contained_coalescent2.py
+++ /dev/null
@@ -1,19 +0,0 @@
-#! /usr/bin/env python
-
-import dendropy
-from dendropy.simulate import treesim
-
-
-sp_tree_str = """\
-[&R] (A:10,(B:6,(C:4,(D:2,E:2):2):2):4);
-"""
-
-sp_tree = dendropy.Tree.get(data=sp_tree_str, schema="newick")
-gene_to_species_map = dendropy.TaxonNamespaceMapping.create_contained_taxon_mapping(
-        containing_taxon_namespace=sp_tree.taxon_namespace,
-        num_contained=[3, 4, 6, 2, 2,])
-gene_tree = treesim.contained_coalescent_tree(containing_tree=sp_tree,
-    gene_to_containing_taxon_map=gene_to_species_map)
-print(gene_tree.as_string(schema='newick'))
-print(gene_tree.as_ascii_plot())
-
diff --git a/doc/source/examples/ds1.py b/doc/source/examples/ds1.py
deleted file mode 100644
index 99e80e0..0000000
--- a/doc/source/examples/ds1.py
+++ /dev/null
@@ -1,43 +0,0 @@
-import dendropy
-
-# Create the DataSet to store data
-ds = dendropy.DataSet()
-
-# Set it up to manage all data under a single taxon namespace.
-# HIGHLY RECOMMENDED!
-taxon_namespace = dendropy.TaxonNamespace()
-ds.attach_taxon_namespace(taxon_namespace)
-
-# Read from multiple sources
-
-# Add a collection of trees
-ds.read(
-    path='pythonidae.mle.nex',
-    schema='nexus',)
-
-# Add a collection of characters from a Nexus source
-ds.read(
-    path='pythonidae.chars.nexus',
-    schema='nexus',)
-
-# Add a collection of characters from a FASTA source
-# Note that with this format, we have to explicitly provide the type of data
-ds.read(
-    path='pythonidae_cytb.fasta',
-    schema='fasta',
-    data_type="dna")
-
-# Add a collection of characters from a PHYLIP source
-# Note that with this format, we have to explicitly provide the type of data
-ds.read(
-    path='pythonidae.chars.phylip',
-    schema='phylip',
-    data_type="dna")
-
-# Add a collection of continuous characters from a NeXML source
-ds.read(
-    path='pythonidae_continuous.chars.nexml',
-    schema='nexml',)
-
-
-
diff --git a/doc/source/examples/ds2.py b/doc/source/examples/ds2.py
deleted file mode 100644
index dbe4f51..0000000
--- a/doc/source/examples/ds2.py
+++ /dev/null
@@ -1,16 +0,0 @@
-import dendropy
-
-ds1 = dendropy.DataSet()
-taxon_namespace = dendropy.TaxonNamespace()
-ds1.attach_taxon_namespace(taxon_namespace)
-ds1.read(
-    path='pythonidae.mle.nex',
-    schema='nexus',)
-ds1.read(
-    path='pythonidae.chars.nexus',
-    schema='nexus',)
-
-ds2 = dendropy.DataSet(ds1)
-
-# for tx1, tx2 in zip(ds1, ds2):
-#     print(tx1 is tx2)
diff --git a/doc/source/examples/ds4.py b/doc/source/examples/ds4.py
deleted file mode 100644
index 4139ba5..0000000
--- a/doc/source/examples/ds4.py
+++ /dev/null
@@ -1,10 +0,0 @@
-import dendropy
-treelist1 = dendropy.TreeList.get(
-        path='pythonidae.mle.nex',
-        schema='nexus')
-cytb = dendropy.DnaCharacterMatrix.get(
-    path='pythonidae_cytb.fasta',
-    schema='fasta')
-ds = dendropy.DataSet([cytb, treelist1])
-ds.unify_taxon_namespaces()
-
diff --git a/doc/source/examples/ds5.py b/doc/source/examples/ds5.py
deleted file mode 100644
index 430d991..0000000
--- a/doc/source/examples/ds5.py
+++ /dev/null
@@ -1,11 +0,0 @@
-import dendropy
-ds = dendropy.DataSet()
-treelist1 = dendropy.TreeList.get(
-        path='pythonidae.mle.nex',
-        schema='nexus')
-cytb = dendropy.DnaCharacterMatrix.get(
-    path='pythonidae_cytb.fasta',
-    schema='fasta')
-ds.add(treelist1)
-ds.add(cytb)
-ds.unify_taxon_namespaces()
diff --git a/doc/source/examples/dsrw1.py b/doc/source/examples/dsrw1.py
deleted file mode 100644
index 94c5f22..0000000
--- a/doc/source/examples/dsrw1.py
+++ /dev/null
@@ -1,13 +0,0 @@
-import dendropy
-taxa = dendropy.TaxonNamespace()
-trees = dendropy.TreeList(taxon_namespace=taxa)
-trees.read(path='pythonidae.mb.run1.t', schema='nexus', tree_offset=10)
-trees.read(path='pythonidae.mb.run2.t', schema='nexus', tree_offset=10)
-trees.read(path='pythonidae.mb.run3.t', schema='nexus', tree_offset=10)
-trees.read(path='pythonidae.mb.run4.t', schema='nexus', tree_offset=10)
-ds = dendropy.DataSet([trees])
-ds.read(path='pythonidae_cytb.fasta',
-        schema='fasta',
-        data_type='dna',
-        )
-ds.write(path='pythonidae_combined.nex', schema='nexus')
diff --git a/doc/source/examples/dynamic_annotations1.py b/doc/source/examples/dynamic_annotations1.py
deleted file mode 100644
index 6fe6246..0000000
--- a/doc/source/examples/dynamic_annotations1.py
+++ /dev/null
@@ -1,34 +0,0 @@
-#! /usr/bin/env python
-
-import dendropy
-import random
-
-categories = {
-    "A" : "N/A",
-    "B" : "N/A",
-    "C" : "N/A",
-    "D" : "N/A",
-    "E" : "N/A"
-}
-tree = dendropy.Tree.get(
-        data="(A,(B,(C,(D,E))));",
-        schema="newick")
-for taxon in tree.taxon_namespace:
-    taxon.category = categories[taxon.label]
-    taxon.annotations.add_bound_attribute("category")
-for node in tree.postorder_node_iter():
-    node.pop_size = None
-    node.annotations.add_bound_attribute("pop_size")
-for node in tree.postorder_node_iter():
-    node.pop_size = random.randint(100, 10000)
-    if node.taxon is not None:
-        if node.pop_size >= 8000:
-            node.taxon.category = "large"
-        elif node.pop_size >= 6000:
-            node.taxon.category = "medium"
-        elif node.pop_size >= 4000:
-            node.taxon.category = "small"
-        elif node.pop_size >= 2000:
-            node.taxon.category = "tiny"
-print tree.as_string(schema="nexml")
-
diff --git a/doc/source/examples/euctree.py b/doc/source/examples/euctree.py
deleted file mode 100644
index 41cc967..0000000
--- a/doc/source/examples/euctree.py
+++ /dev/null
@@ -1,19 +0,0 @@
-import dendropy
-from dendropy.calculate import treecompare
-
-s1 = "((t5:0.161175,t6:0.161175):0.392293,((t4:0.104381,(t2:0.075411,t1:0.075411):0.028969):0.065840,t3:0.170221):0.383247);"
-s2 = "((t5:2.161175,t6:0.161175):0.392293,((t4:0.104381,(t2:0.075411,t1:0.075411):1):0.065840,t3:0.170221):0.383247);"
-
-tns = dendropy.TaxonNamespace()
-
-tree1 = dendropy.Tree.get(
-        data=s1,
-        schema='newick',
-        taxon_namespace=tns)
-tree2 = dendropy.Tree.get(
-        data=s2,
-        schema='newick',
-        taxon_namespace=tns)
-
-## Euclidean distance = 2.22326363775
-print(treecompare.euclidean_distance(tree1, tree2))
diff --git a/doc/source/examples/find_taxon_node1.py b/doc/source/examples/find_taxon_node1.py
deleted file mode 100644
index d009d0e..0000000
--- a/doc/source/examples/find_taxon_node1.py
+++ /dev/null
@@ -1,8 +0,0 @@
-#! /usr/bin/env python
-
-import dendropy
-
-tree = dendropy.Tree.get(path="pythonidae.mle.nex", schema="nexus")
-filter = lambda taxon: True if taxon.label=='Antaresia maculosa' else False
-node = tree.find_node_with_taxon(filter)
-print(node.description())
diff --git a/doc/source/examples/find_taxon_node2.py b/doc/source/examples/find_taxon_node2.py
deleted file mode 100644
index 2f53d91..0000000
--- a/doc/source/examples/find_taxon_node2.py
+++ /dev/null
@@ -1,7 +0,0 @@
-#! /usr/bin/env python
-
-import dendropy
-
-tree = dendropy.Tree.get(path="pythonidae.mle.nex", schema="nexus")
-node = tree.find_node_with_taxon_label('Antaresia maculosa')
-print(node.description())
diff --git a/doc/source/examples/hiv1.nexus b/doc/source/examples/hiv1.nexus
deleted file mode 100644
index ff4a6c3..0000000
--- a/doc/source/examples/hiv1.nexus
+++ /dev/null
@@ -1,399 +0,0 @@
-#NEXUS
-[R-package APE, Wed May 29 14:05:42 2013]
-
-BEGIN TAXA;
-	DIMENSIONS NTAX = 193;
-	TAXLABELS
-		A97DCA1EQTB52
-		A97DCA1MBFE185
-		A97DCA1MBS12
-		A97DCA1MBS30
-		A97DCA1SJDS17
-		A97DCA1KCD9
-		A97DCA1KTB185
-		A97DCA1KFE58
-		A97DCA1KP18
-		A97DCA1KP28
-		A97DCA1KP78
-		A97DCA1MBS63
-		A97DCA2KP82
-		A97DCA2KP86
-		A97DCA2MBCD5
-		A97DCEQS1
-		A97DCKFE326
-		A97DCMBS32
-		A97DCEQS18
-		A97DCKP72
-		A97DCEQS25
-		A97DCKS34
-		A97DCKS47
-		A97DCKMST147
-		A97DCKMST89
-		A97DCKTB6
-		A97DCEQTB44
-		A97DCKDS85
-		A97DCMBS26
-		A97DCKTB79
-		A97DCKTB118
-		A97DCKTB132
-		A97DCKCC4
-		A97DCKP25
-		A97DCKTB7
-		A97DCMBS9
-		A97DCKS36
-		A97DCKTB37
-		A97DCKCD6
-		A97DCMBFE149
-		A97DCMBFE247
-		A97DCKFE198
-		A97DCKP77
-		A97DCKMST52
-		A97DCKS7
-		A97DCKTB36
-		A97DCKP36
-		A97DCKTB16
-		A97DCMBS28
-		A97DCMBTB54
-		A97DCKP5
-		A97DCMBFE155
-		A97DCMBFE244
-		A97DCMBFE78
-		A97DCMBS7
-		A97DCMBS341
-		A97DCKTB157
-		A97DCMBP2
-		A97DCMBS4
-		A97DCMBTB29
-		A97DCMBDS17
-		A97DCEQS45
-		A97DCEQS49
-		A97DCKS56
-		A97DCEQTB14
-		A97DCKTB20
-		A97DCKTB44
-		A97DCKCC2
-		A97DCKCC3
-		A97DCKTB13
-		A97DCKMST140
-		A97DCKMST121
-		A97DCKP43
-		A97DCKP79
-		A97DCKS55
-		A97DCKTB124
-		A97DCKFE4
-		A97DCKS10
-		A97DCKTB48
-		A97DCKFE288
-		A97DCMBFE5
-		A97DCSJFE26
-		A97DCKMST50
-		A97DCKS14
-		U97DCKFE267
-		U97DCKTB119
-		U97DCMBFE250
-		U97DCKMST91
-		E97DCEQS21
-		E97DCEQS5
-		E97DCKP14
-		E97DCEQTB60
-		U97DCKFE45
-		U97DCKTB49
-		D97DCD1KCD4
-		D97DCD1KMST126
-		D97DCD1KS2
-		D97DCKP54
-		D97DCKP44
-		D97DCKTB181
-		D97DCMBS55
-		D97DCMBS56
-		D97DCD2KTB23
-		D97DCKMST66
-		D97DCKMST30
-		D97DCKP1
-		D97DCKS11
-		D97DCKTB27
-		D97DCKTB4
-		D97DCMBS35
-		D97DCD2KS26
-		D97DCKS15
-		D97DCKS39
-		D97DCMBS342
-		D97DCKMST144
-		D97DCKS29
-		D97DCKFE53
-		C97DCKCD11
-		C97DCKFE372
-		C97DCMBFE92
-		C97DCKTB110
-		C97DCMBFE14
-		C97DCMBFE300
-		C97DCMBFE34
-		C97DCMBS37
-		C97DCMBFE61
-		C97DCMBTB58
-		C97DCMBTB11
-		C97DCMBTB10
-		C97DCSJFE59
-		C97DCMBS20
-		C97DCMBTB3
-		C97DCMBS33
-		C97DCMBS80
-		C97DCMBTB13
-		F97DCF1EQS16
-		F97DCF1KP35
-		F97DCF1KP40
-		F97DCF1KTB136
-		F97DCF1KTB50
-		F97DCF1KS50
-		F97DCF1KTB165
-		F97DCF1MBFE183
-		K97DCEQTB43
-		K97DCKTB160
-		K97DCKP13
-		K97DCKTB111
-		K97DCMBFE71
-		K97DCKTB1
-		U97DCKTB17
-		U97DCEQS8
-		G97DCKCC1
-		G97DCKFE181
-		G97DCKTB56
-		G97DCKFE77
-		G97DCKP74
-		G97DCKMST100
-		G97DCKMST85
-		G97DCMBTB7
-		G97DCKS4
-		G97DCKTB142
-		G97DCKTB18
-		G97DCKMST10
-		G97DCKS30
-		G97DCMBFE91
-		G97DCKS27
-		U97DCKTB22
-		U97DCKMST135
-		U97DCEQS29
-		J97DCKFE339
-		J97DCMBTB4
-		J97DCKS22
-		J97DCMBS41
-		J97DCKTB147
-		J97DCKTB14
-		J97DCKS16
-		U97DCKMST120
-		H97DCEQTB1
-		H97DCEQTB80
-		H97DCKP63
-		H97DCKTB158
-		H97DCKS18
-		H97DCKS42
-		H97DCKTB176
-		H97DCKTB62
-		H97DCKCD2
-		H97DCKMST43
-		H97DCKTB140
-		H97DCKTB188
-		H97DCKS38
-		H97DCKS43
-		H97DCKTB32
-		H97DCKTB52
-	;
-END;
-BEGIN TREES;
-	TRANSLATE
-		1	A97DCA1EQTB52,
-		2	A97DCA1MBFE185,
-		3	A97DCA1MBS12,
-		4	A97DCA1MBS30,
-		5	A97DCA1SJDS17,
-		6	A97DCA1KCD9,
-		7	A97DCA1KTB185,
-		8	A97DCA1KFE58,
-		9	A97DCA1KP18,
-		10	A97DCA1KP28,
-		11	A97DCA1KP78,
-		12	A97DCA1MBS63,
-		13	A97DCA2KP82,
-		14	A97DCA2KP86,
-		15	A97DCA2MBCD5,
-		16	A97DCEQS1,
-		17	A97DCKFE326,
-		18	A97DCMBS32,
-		19	A97DCEQS18,
-		20	A97DCKP72,
-		21	A97DCEQS25,
-		22	A97DCKS34,
-		23	A97DCKS47,
-		24	A97DCKMST147,
-		25	A97DCKMST89,
-		26	A97DCKTB6,
-		27	A97DCEQTB44,
-		28	A97DCKDS85,
-		29	A97DCMBS26,
-		30	A97DCKTB79,
-		31	A97DCKTB118,
-		32	A97DCKTB132,
-		33	A97DCKCC4,
-		34	A97DCKP25,
-		35	A97DCKTB7,
-		36	A97DCMBS9,
-		37	A97DCKS36,
-		38	A97DCKTB37,
-		39	A97DCKCD6,
-		40	A97DCMBFE149,
-		41	A97DCMBFE247,
-		42	A97DCKFE198,
-		43	A97DCKP77,
-		44	A97DCKMST52,
-		45	A97DCKS7,
-		46	A97DCKTB36,
-		47	A97DCKP36,
-		48	A97DCKTB16,
-		49	A97DCMBS28,
-		50	A97DCMBTB54,
-		51	A97DCKP5,
-		52	A97DCMBFE155,
-		53	A97DCMBFE244,
-		54	A97DCMBFE78,
-		55	A97DCMBS7,
-		56	A97DCMBS341,
-		57	A97DCKTB157,
-		58	A97DCMBP2,
-		59	A97DCMBS4,
-		60	A97DCMBTB29,
-		61	A97DCMBDS17,
-		62	A97DCEQS45,
-		63	A97DCEQS49,
-		64	A97DCKS56,
-		65	A97DCEQTB14,
-		66	A97DCKTB20,
-		67	A97DCKTB44,
-		68	A97DCKCC2,
-		69	A97DCKCC3,
-		70	A97DCKTB13,
-		71	A97DCKMST140,
-		72	A97DCKMST121,
-		73	A97DCKP43,
-		74	A97DCKP79,
-		75	A97DCKS55,
-		76	A97DCKTB124,
-		77	A97DCKFE4,
-		78	A97DCKS10,
-		79	A97DCKTB48,
-		80	A97DCKFE288,
-		81	A97DCMBFE5,
-		82	A97DCSJFE26,
-		83	A97DCKMST50,
-		84	A97DCKS14,
-		85	U97DCKFE267,
-		86	U97DCKTB119,
-		87	U97DCMBFE250,
-		88	U97DCKMST91,
-		89	E97DCEQS21,
-		90	E97DCEQS5,
-		91	E97DCKP14,
-		92	E97DCEQTB60,
-		93	U97DCKFE45,
-		94	U97DCKTB49,
-		95	D97DCD1KCD4,
-		96	D97DCD1KMST126,
-		97	D97DCD1KS2,
-		98	D97DCKP54,
-		99	D97DCKP44,
-		100	D97DCKTB181,
-		101	D97DCMBS55,
-		102	D97DCMBS56,
-		103	D97DCD2KTB23,
-		104	D97DCKMST66,
-		105	D97DCKMST30,
-		106	D97DCKP1,
-		107	D97DCKS11,
-		108	D97DCKTB27,
-		109	D97DCKTB4,
-		110	D97DCMBS35,
-		111	D97DCD2KS26,
-		112	D97DCKS15,
-		113	D97DCKS39,
-		114	D97DCMBS342,
-		115	D97DCKMST144,
-		116	D97DCKS29,
-		117	D97DCKFE53,
-		118	C97DCKCD11,
-		119	C97DCKFE372,
-		120	C97DCMBFE92,
-		121	C97DCKTB110,
-		122	C97DCMBFE14,
-		123	C97DCMBFE300,
-		124	C97DCMBFE34,
-		125	C97DCMBS37,
-		126	C97DCMBFE61,
-		127	C97DCMBTB58,
-		128	C97DCMBTB11,
-		129	C97DCMBTB10,
-		130	C97DCSJFE59,
-		131	C97DCMBS20,
-		132	C97DCMBTB3,
-		133	C97DCMBS33,
-		134	C97DCMBS80,
-		135	C97DCMBTB13,
-		136	F97DCF1EQS16,
-		137	F97DCF1KP35,
-		138	F97DCF1KP40,
-		139	F97DCF1KTB136,
-		140	F97DCF1KTB50,
-		141	F97DCF1KS50,
-		142	F97DCF1KTB165,
-		143	F97DCF1MBFE183,
-		144	K97DCEQTB43,
-		145	K97DCKTB160,
-		146	K97DCKP13,
-		147	K97DCKTB111,
-		148	K97DCMBFE71,
-		149	K97DCKTB1,
-		150	U97DCKTB17,
-		151	U97DCEQS8,
-		152	G97DCKCC1,
-		153	G97DCKFE181,
-		154	G97DCKTB56,
-		155	G97DCKFE77,
-		156	G97DCKP74,
-		157	G97DCKMST100,
-		158	G97DCKMST85,
-		159	G97DCMBTB7,
-		160	G97DCKS4,
-		161	G97DCKTB142,
-		162	G97DCKTB18,
-		163	G97DCKMST10,
-		164	G97DCKS30,
-		165	G97DCMBFE91,
-		166	G97DCKS27,
-		167	U97DCKTB22,
-		168	U97DCKMST135,
-		169	U97DCEQS29,
-		170	J97DCKFE339,
-		171	J97DCMBTB4,
-		172	J97DCKS22,
-		173	J97DCMBS41,
-		174	J97DCKTB147,
-		175	J97DCKTB14,
-		176	J97DCKS16,
-		177	U97DCKMST120,
-		178	H97DCEQTB1,
-		179	H97DCEQTB80,
-		180	H97DCKP63,
-		181	H97DCKTB158,
-		182	H97DCKS18,
-		183	H97DCKS42,
-		184	H97DCKTB176,
-		185	H97DCKTB62,
-		186	H97DCKCD2,
-		187	H97DCKMST43,
-		188	H97DCKTB140,
-		189	H97DCKTB188,
-		190	H97DCKS38,
-		191	H97DCKS43,
-		192	H97DCKTB32,
-		193	H97DCKTB52
-	;
-	TREE * UNTITLED = [&R] (((((((((((1:182,2:182):1,(3:181,4:181):2):1,5:184):1,(6:180,7:180):5):1,8:186):1,(9:179,(10:178,(11:177,12:177):1):1):8):1,(((13:174,14:174):1,15:175):1,((((16:170,17:170):1,18:171):1,(19:169,20:169):3):1,((((((21:163,22:163):1,23:164):1,(24:162,(25:161,26:161):1):3):1,((((27:157,((28:155,29:155):1,30:156):1):1,(31:154,32:154):4):1,(33:153,(((34:150,35:150):1,36:151):1,(37:149,38:149):3):1):6):1,(((39:146,(40:145,41:145):1):1,((42:143,43:143):1,(44:142,45:142):2) [...]
-END;
diff --git a/doc/source/examples/ladderize.py b/doc/source/examples/ladderize.py
deleted file mode 100644
index 3991a9b..0000000
--- a/doc/source/examples/ladderize.py
+++ /dev/null
@@ -1,22 +0,0 @@
-#! /usr/bin/env python
-
-import dendropy
-
-tree_str = "[&R] ((A, (B, (C, (D, E)))),(F, (G, H)));"
-
-tree = dendropy.Tree.get(
-        data=tree_str,
-        schema="newick")
-
-print("Before:")
-print(tree.as_string(schema='newick'))
-print(tree.as_ascii_plot())
-tree.ladderize(ascending=True)
-print("Ladderize, ascending=True:")
-print(tree.as_string(schema='newick'))
-print(tree.as_ascii_plot())
-tree.ladderize(ascending=False)
-print("Ladderize, ascending=False:")
-print(tree.as_string(schema='newick'))
-print(tree.as_ascii_plot())
-
diff --git a/doc/source/examples/ltt.py b/doc/source/examples/ltt.py
deleted file mode 100644
index adbcb7b..0000000
--- a/doc/source/examples/ltt.py
+++ /dev/null
@@ -1,36 +0,0 @@
-import dendropy
-
-tree = dendropy.Tree.get(
-            path="hiv1.nexus",
-            schema="nexus")
-
-# Returns distance of node furthest from root, i.e., maximum time available on
-# tree
-total_time = tree.max_distance_from_root()
-
-# Divide time span into 10 steps
-step = float(total_time) / 10
-
-# To store tuples of (time, number of lineages)
-ltt = []
-
-# Start at first time step
-current_time = step
-while current_time <= total_time:
-    # Get number of lineages at current time
-    num_lineages = tree.num_lineages_at(current_time)
-    # Store it
-    ltt.append( (current_time, num_lineages) )
-    # Move to next time step
-    current_time += step
-
-# Get the final number of lineages
-# Note: may not be the same as the number of tips if the tree has extinct
-# tips/taxa; though, if this were the case, we would not be dealing with an
-# ultrametric tree.
-if current_time < total_time:
-    ltt.append( (total_time, tree.num_lineages_at(total_time)) )
-
-# Print results
-for t, num_lineages in ltt:
-    print("{:12.8f}\t{}".format(t, num_lineages))
diff --git a/doc/source/examples/majrule.py b/doc/source/examples/majrule.py
deleted file mode 100644
index d1ade1b..0000000
--- a/doc/source/examples/majrule.py
+++ /dev/null
@@ -1,15 +0,0 @@
-#! /usr/bin/env python
-
-import dendropy
-
-trees = dendropy.TreeList()
-for tree_file in ['pythonidae.mb.run1.t',
-        'pythonidae.mb.run2.t',
-        'pythonidae.mb.run3.t',
-        'pythonidae.mb.run4.t']:
-    trees.read(
-            path=tree_file,
-            schema='nexus',
-            tree_offset=20)
-con_tree = trees.consensus(min_freq=0.95)
-print(con_tree.as_string(schema='newick'))
diff --git a/doc/source/examples/mcct.py b/doc/source/examples/mcct.py
deleted file mode 100644
index d66d9d4..0000000
--- a/doc/source/examples/mcct.py
+++ /dev/null
@@ -1,19 +0,0 @@
-#! /usr/bin/env python
-
-import dendropy
-
-trees = dendropy.TreeList()
-for tree_file in ['pythonidae.mb.run1.t',
-        'pythonidae.mb.run2.t',
-        'pythonidae.mb.run3.t',
-        'pythonidae.mb.run4.t']:
-    trees.read(
-            path=tree_file,
-            schema='nexus',
-            tree_offset=20)
-
-mcct = trees.maximum_product_of_split_support_tree()
-print("\nTree {} maximizes the product of split support (log product = {}): {}".format(trees.index(mcct), mcct.log_product_of_split_support, mcct))
-
-msst = trees.maximum_sum_of_split_support_tree()
-print("\nTree {} maximizes the sum of split support (sum = {}): {}".format(trees.index(msst), msst.sum_of_split_support, msst))
diff --git a/doc/source/examples/mrca.py b/doc/source/examples/mrca.py
deleted file mode 100644
index 895d9c4..0000000
--- a/doc/source/examples/mrca.py
+++ /dev/null
@@ -1,9 +0,0 @@
-import dendropy
-
-tree = dendropy.Tree.get(path="pythonidae.mle.nex", schema="nexus")
-taxon_labels=['Python sebae',
-              'Python regius',
-              'Python curtus',
-              'Python molurus']
-mrca = tree.mrca(taxon_labels=taxon_labels)
-print(mrca.description())
diff --git a/doc/source/examples/mrca2.py b/doc/source/examples/mrca2.py
deleted file mode 100644
index 09990ea..0000000
--- a/doc/source/examples/mrca2.py
+++ /dev/null
@@ -1,11 +0,0 @@
-import dendropy
-from dendropy.calculate import treemeasure
-
-tree = dendropy.Tree.get(
-        path="pythonidae.mle.nex",
-        schema="nexus")
-pdm = treemeasure.PatristicDistanceMatrix(tree)
-for taxon1 in tree.taxon_namespace:
-    for taxon2 in tree.taxon_namespace:
-        mrca = pdm.mrca(taxon1, taxon2)
-        print("MRCA of '{}' and '{}' is: {}".format(taxon1.label, taxon2.label, mrca.description()))
diff --git a/doc/source/examples/node_ages1.py b/doc/source/examples/node_ages1.py
deleted file mode 100644
index 778944c..0000000
--- a/doc/source/examples/node_ages1.py
+++ /dev/null
@@ -1,19 +0,0 @@
-#! /usr/bin/env python
-
-import dendropy
-from dendropy.calculate import treemeasure
-
-trees = dendropy.TreeList.get(
-        path="pythonidae.beast-mcmc.trees",
-        schema="nexus",
-        tree_offset=200)
-maculosa_childreni_ages = []
-for idx, tree in enumerate(trees):
-    tree.calc_node_ages()
-    taxon_labels = ["Antaresia maculosa","Antaresia childreni"]
-    mrca = tree.mrca(taxon_labels=taxon_labels)
-    maculosa_childreni_ages.append(mrca.age)
-print("Mean age of MRCA of 'Antaresia maculosa' and 'Antaresia childreni': %s" \
-    % (float(sum(maculosa_childreni_ages))/len(maculosa_childreni_ages)))
-
-
diff --git a/doc/source/examples/orti1994.nex b/doc/source/examples/orti1994.nex
deleted file mode 100644
index 1ba2cf4..0000000
--- a/doc/source/examples/orti1994.nex
+++ /dev/null
@@ -1,32 +0,0 @@
-#NEXUS
-
-Begin data;
-    Dimensions ntax=23 nchar=747;
-    Format datatype=dna;
-    Matrix
-
-EPAC_AK1_E CGAAAAATATCCATCTCGCAGTGCTGAGCTAGACA    AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA [...]
-EPAC_AK2_F CGAAAAGTATCCATCTTGCAGTGCTGAGCTAGACA    AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA [...]
-EPAC_AK3_K CGCAAAGCACTTGCCCCATAGCGCTAAGCCGCGTT    AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA [...]
-EPAC_AK4_L CGCAAAGCGCTTGCCCCATAACGCTAAGCCGCGTT    AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA [...]
-EPAC_AK5_L CGCAAAGCGCTTGCCCCATAACGCTAAGCCGCGTT    AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA [...]
-EPAC_BC1_A CGAAAAGTATCCATCTCGCAGTGCTGAGCTAGACA    AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA [...]
-EPAC_BC2_I CGCGAAGCACTTGCCCCATAGCGCTAAGCCGCGTT    AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA [...]
-EPAC_BC3_J CGCGTAGCACTTGCCCCATAGCGCTAAGCCGCGTT    AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA [...]
-EPAC_BC4_K CGCAAAGCACTTGCCCCATAGCGCTAAGCCGCGTT    AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA [...]
-EPAC_BC5_K CGCAAAGCACTTGCCCCATAGCGCTAAGCCGCGTT    AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA [...]
-EPAC_BC6_L CGCAAAGCGCTTGCCCCATAACGCTAAGCCGCGTT    AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA [...]
-EPAC_BC7_L CGCAAAGCGCTTGCCCCATAACGCTAAGCCGCGTT    AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA [...]
-EPAC_BC8_L CGCAAAGCGCTTGCCCCATAACGCTAAGCCGCGTT    AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA [...]
-EPAC_BC9_L CGCAAAGCGCTTGCCCCATAACGCTAAGCCGCGTT    AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA [...]
-WPAC_JA1_A CGAAAAGTATCCATCTCGCAGTGCTGAGCTAGACA    AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA [...]
-WPAC_JA2_A CGAAAAGTATCCATCTCGCAGTGCTGAGCTAGACA    AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA [...]
-WPAC_JA3_A CGAAAAGTATCCATCTCGCAGTGCTGAGCTAGACA    AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA [...]
-WPAC_JA4_B CGAAAGGTATCCATCTCGCAGTGCTGAGTTAGACA    AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA [...]
-WPAC_JA5_C CAAAAAGTATCCATCTCGCAGTGCTGAGTTAGACA    AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA [...]
-WPAC_JA6_C CAAAAAGTATCCATCTCGCAGTGCTGAGTTAGACA    AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA [...]
-WPAC_JA7_D CGAAAAGTATCCATCTCGCAGTGCTGAACTAGACA    AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA [...]
-WPAC_JA8_G CGAAAAGTATCCATCTCGCAGTGCTAAGCTAGACA    AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA [...]
-WPAC_JA9_H TGAAAAGTATCCATCTCGCAGTGCTAAGCTAGACA    AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA [...]
-    ;
-End;
diff --git a/doc/source/examples/paup_estimate_model.py b/doc/source/examples/paup_estimate_model.py
deleted file mode 100644
index 66320d7..0000000
--- a/doc/source/examples/paup_estimate_model.py
+++ /dev/null
@@ -1,18 +0,0 @@
-#! /usr/bin/env python
-
-import dendropy
-from dendropy.interop import paup
-
-data = dendropy.DnaCharacterMatrix.get(
-    path="pythonidae.nex",
-    schema="nexus")
-tree = paup.estimate_tree(data,
-        tree_est_criterion='nj')
-est_tree, est_model = paup.estimate_model(data,
-        tree,
-        num_states=2,
-        unequal_base_freqs=True,
-        gamma_rates=False,
-        prop_invar=False)
-for k, v in est_model.items():
-    print("{}: {}".format(k, v))
diff --git a/doc/source/examples/paup_estimate_tree_ml.py b/doc/source/examples/paup_estimate_tree_ml.py
deleted file mode 100644
index a64c4ff..0000000
--- a/doc/source/examples/paup_estimate_tree_ml.py
+++ /dev/null
@@ -1,15 +0,0 @@
-#! /usr/bin/env python
-
-import dendropy
-from dendropy.interop import paup
-
-data = dendropy.DnaCharacterMatrix.get(
-    path="pythonidae.nex",
-    schema="nexus")
-tree = paup.estimate_tree(data,
-        tree_est_criterion='likelihood',
-        num_states=2,
-        unequal_base_freqs=True,
-        gamma_rates=False,
-        prop_invar=False)
-print tree.as_string(schema="newick")
diff --git a/doc/source/examples/paup_estimate_tree_nj.py b/doc/source/examples/paup_estimate_tree_nj.py
deleted file mode 100644
index c825abe..0000000
--- a/doc/source/examples/paup_estimate_tree_nj.py
+++ /dev/null
@@ -1,11 +0,0 @@
-#! /usr/bin/env python
-
-import dendropy
-from dendropy.interop import paup
-
-data = dendropy.DnaCharacterMatrix.get(
-    path="pythonidae.nex",
-    schema="nexus")
-tree = paup.estimate_tree(data,
-        tree_est_criterion='nj')
-print tree.as_string(schema="newick")
diff --git a/doc/source/examples/pbhg.py b/doc/source/examples/pbhg.py
deleted file mode 100644
index 13d8305..0000000
--- a/doc/source/examples/pbhg.py
+++ /dev/null
@@ -1,16 +0,0 @@
-#! /usr/bin/env python
-
-import dendropy
-from dendropy.calculate import treemeasure
-
-trees = dendropy.TreeList.get(
-        path="pythonidae.beast-mcmc.trees",
-        schema="nexus",
-        tree_offset=200)
-pbhg = []
-for idx, tree in enumerate(trees):
-    pbhg.append(treemeasure.pybus_harvey_gamma(tree))
-print("Mean Pybus-Harvey-Gamma: %s" \
-    % (float(sum(pbhg))/len(pbhg)))
-
-
diff --git a/doc/source/examples/pdm.py b/doc/source/examples/pdm.py
deleted file mode 100644
index 4ca8769..0000000
--- a/doc/source/examples/pdm.py
+++ /dev/null
@@ -1,12 +0,0 @@
-#! /usr/bin/env python
-
-import dendropy
-from dendropy.calculate import treemeasure
-
-tree = dendropy.Tree.get(
-    path="pythonidae.mle.nex",
-    schema="nexus")
-pdm = treemeasure.PatristicDistanceMatrix(tree)
-for i, t1 in enumerate(tree.taxon_namespace):
-    for t2 in tree.taxon_namespace[i+1:]:
-        print("Distance between '%s' and '%s': %s" % (t1.label, t2.label, pdm(t1, t2)))
diff --git a/doc/source/examples/pgstats1.py b/doc/source/examples/pgstats1.py
deleted file mode 100644
index 60af2fb..0000000
--- a/doc/source/examples/pgstats1.py
+++ /dev/null
@@ -1,33 +0,0 @@
-#! /usr/bin/env python
-
-import dendropy
-from dendropy.calculate import popgenstat
-
-seqs = dendropy.DnaCharacterMatrix.get(
-        path="orti1994.nex",
-        schema="nexus")
-p1 = []
-p2 = []
-for idx, t in enumerate(seqs.taxon_namespace):
-    if t.label.startswith('EPAC'):
-        p1.append(seqs[t])
-    else:
-        p2.append(seqs[t])
-pp = popgenstat.PopulationPairSummaryStatistics(p1, p2)
-
-print('Average number of pairwise differences (total): %s' \
-    % pp.average_number_of_pairwise_differences)
-print('Average number of pairwise differences (between populations): %s' \
-    % pp.average_number_of_pairwise_differences_between)
-print('Average number of pairwise differences (within populations): %s' \
-    % pp.average_number_of_pairwise_differences_within)
-print('Average number of pairwise differences (net): %s' \
-    % pp.average_number_of_pairwise_differences_net)
-print('Number of segregating sites: %s' \
-    % pp.num_segregating_sites)
-print("Watterson's theta: %s" \
-    % pp.wattersons_theta)
-print("Wakeley's Psi: %s" \
-    % pp.wakeleys_psi)
-print("Tajima's D: %s" \
-    % pp.tajimas_d)
diff --git a/doc/source/examples/pic1.py b/doc/source/examples/pic1.py
deleted file mode 100644
index ab59179..0000000
--- a/doc/source/examples/pic1.py
+++ /dev/null
@@ -1,35 +0,0 @@
-import dendropy
-from dendropy.model import continuous
-
-taxa = dendropy.TaxonNamespace()
-tree = dendropy.Tree.get(
-        path="primates.cc.tre",
-        schema="newick",
-        taxon_namespace=taxa)
-chars = dendropy.ContinuousCharacterMatrix.get_from_path(
-        "primates.cc.nex",
-        "nexus",
-        taxon_namespace=taxa)
-pic = continuous.PhylogeneticIndependentConstrasts(
-        tree=tree,
-        char_matrix=chars)
-for cidx in range(chars.vector_size):
-    ctree1 = pic.contrasts_tree(character_index=cidx,
-            annotate_pic_statistics=True,
-            state_values_as_node_labels=True,
-            corrected_edge_lengths=False)
-    print(ctree1.as_string("newick",
-                suppress_leaf_taxon_labels=True,
-                suppress_leaf_node_labels=False,
-                suppress_internal_taxon_labels=True,
-                suppress_internal_node_labels=False))
-
-
-
-
-
-
-
-
-
-
diff --git a/doc/source/examples/pic2.py b/doc/source/examples/pic2.py
deleted file mode 100644
index 1b75562..0000000
--- a/doc/source/examples/pic2.py
+++ /dev/null
@@ -1,7 +0,0 @@
-import dendropy
-dataset = dendropy.DataSet.get(
-    path="primates.cc.combined.nex",
-    schema="nexus")
-tree = dataset.tree_lists[0][0]
-chars = dataset.char_matrices[0]
-
diff --git a/doc/source/examples/pic3.py b/doc/source/examples/pic3.py
deleted file mode 100644
index 199cf57..0000000
--- a/doc/source/examples/pic3.py
+++ /dev/null
@@ -1,10 +0,0 @@
-import dendropy
-taxa = dendropy.TaxonNamespace()
-tree = dendropy.Tree.get(
-    path="primates.cc.tre",
-    schema="newick",
-    taxon_namespace=taxa)
-chars = dendropy.ContinuousCharacterMatrix.get(
-    path="primates.cc.nex",
-    schema="nexus",
-    taxon_namespace=taxa)
diff --git a/doc/source/examples/pic4.py b/doc/source/examples/pic4.py
deleted file mode 100644
index 1ee1eb4..0000000
--- a/doc/source/examples/pic4.py
+++ /dev/null
@@ -1,26 +0,0 @@
-import dendropy
-from dendropy.model import continuous
-
-taxa = dendropy.TaxonNamespace()
-tree = dendropy.Tree.get(
-    path="primates.cc.tre",
-    schema="newick",
-    taxon_namespace=taxa)
-chars = dendropy.ContinuousCharacterMatrix.get(
-    path="primates.cc.nex",
-    schema="nexus",
-    taxon_namespace=taxa)
-pic = continuous.PhylogeneticIndependentConstrasts(tree=tree, char_matrix=chars)
-ctree1 = pic.contrasts_tree(character_index=0,
-    annotate_pic_statistics=True,
-    state_values_as_node_labels=False,
-    corrected_edge_lengths=False)
-for nd in ctree1.postorder_internal_node_iter():
-    row = [nd.pic_state_value,
-            nd.pic_state_variance,
-            nd.pic_contrast_raw,
-            nd.pic_edge_length_error]
-    row_str = [(("%10.8f") % i) for i in row]
-    row_str = "    ".join(row_str)
-    label = nd.label.ljust(6)
-    print "%s %s" % (label, row_str)
diff --git a/doc/source/examples/pic_annotated.py b/doc/source/examples/pic_annotated.py
deleted file mode 100644
index 6865458..0000000
--- a/doc/source/examples/pic_annotated.py
+++ /dev/null
@@ -1,32 +0,0 @@
-#! /usr/bin/env python
-
-import dendropy
-from dendropy.model import continuous
-
-taxa = dendropy.TaxonNamespace()
-tree = dendropy.Tree.get(
-        path="primates.cc.tre",
-        schema="newick",
-        taxon_namespace=taxa)
-chars = dendropy.ContinuousCharacterMatrix.get(
-        path="primates.cc.nex",
-        schema="nexus",
-        taxon_namespace=taxa)
-pic = dendropy.continuous.PhylogeneticIndependentConstrasts(
-        tree=tree,
-        char_matrix=chars)
-pic_trees = dendropy.TreeList(taxon_namespace=taxa)
-for cidx in range(chars.vector_size):
-    ctree1 = pic.contrasts_tree(character_index=cidx)
-    ctree1.label = "PIC %d" % (cidx+1)
-    pic_trees.append(ctree1)
-print(pic_trees.as_string(schema="nexus"))
-
-
-
-
-
-
-
-
-
diff --git a/doc/source/examples/preorder_filtered_edge_iteration.py b/doc/source/examples/preorder_filtered_edge_iteration.py
deleted file mode 100644
index 8803b1a..0000000
--- a/doc/source/examples/preorder_filtered_edge_iteration.py
+++ /dev/null
@@ -1,10 +0,0 @@
-#! /usr/bin/env python
-
-import dendropy
-
-mle = dendropy.Tree.get(
-    path='pythonidae.mle.nex',
-    schema='nexus')
-short = lambda edge: True if edge.length < 0.01 else False
-for edge in mle.postorder_edge_iter(short):
-    print(edge.length)
diff --git a/doc/source/examples/preorder_filtered_node_iteration.py b/doc/source/examples/preorder_filtered_node_iteration.py
deleted file mode 100644
index b757824..0000000
--- a/doc/source/examples/preorder_filtered_node_iteration.py
+++ /dev/null
@@ -1,10 +0,0 @@
-#! /usr/bin/env python
-
-import dendropy
-
-mle = dendropy.Tree.get(
-    path='pythonidae.mle.nex',
-    schema='nexus')
-multifurcating = lambda x: True if len(x.child_nodes()) > 2 else False
-for nd in mle.postorder_node_iter(multifurcating):
-    print(nd.description(0))
diff --git a/doc/source/examples/primates.cc.combined.nex b/doc/source/examples/primates.cc.combined.nex
deleted file mode 100644
index ef59ecb..0000000
--- a/doc/source/examples/primates.cc.combined.nex
+++ /dev/null
@@ -1,17 +0,0 @@
-#NEXUS
-
-BEGIN DATA;
-    DIMENSIONS  NTAX=5 NCHAR=2;
-    FORMAT DATATYPE = CONTINUOUS GAP = - MISSING = ?;
-    MATRIX
-        Homo      4.09434   4.74493
-        Pongo     3.61092   3.33220
-        Macaca    2.37024   3.36730
-        Ateles    2.02815   2.89037
-        Galago   -1.46968   2.30259
-    ;
-END;
-
-BEGIN TREES;
-    TREE 1 = [&R] ((((Homo:0.21,Pongo:0.21)HP:0.28,Macaca:0.49)HPM:0.13,Ateles:0.62)HPMA:0.38,Galago:1.00)Root:0.0;
-END;
diff --git a/doc/source/examples/primates.cc.nex b/doc/source/examples/primates.cc.nex
deleted file mode 100644
index b46d2b3..0000000
--- a/doc/source/examples/primates.cc.nex
+++ /dev/null
@@ -1,12 +0,0 @@
-#NEXUS
-BEGIN DATA;
-    DIMENSIONS  NTAX=5 NCHAR=2;
-    FORMAT DATATYPE = CONTINUOUS GAP = - MISSING = ?;
-    MATRIX
-        Homo      4.09434   4.74493
-        Pongo     3.61092   3.33220
-        Macaca    2.37024   3.36730
-        Ateles    2.02815   2.89037
-        Galago   -1.46968   2.30259
-    ;
-END;
diff --git a/doc/source/examples/primates.cc.tre b/doc/source/examples/primates.cc.tre
deleted file mode 100644
index 8ed788c..0000000
--- a/doc/source/examples/primates.cc.tre
+++ /dev/null
@@ -1 +0,0 @@
-[&R] ((((Homo:0.21,Pongo:0.21)HP:0.28,Macaca:0.49)HPM:0.13,Ateles:0.62)HPMA:0.38,Galago:1.00)Root:0.0;
diff --git a/doc/source/examples/primates.chars.interleaved.nexus b/doc/source/examples/primates.chars.interleaved.nexus
deleted file mode 100644
index 78f465e..0000000
--- a/doc/source/examples/primates.chars.interleaved.nexus
+++ /dev/null
@@ -1,228 +0,0 @@
-#NEXUS 
-
-[Modified from example data distributed with PAUP* 4.01b.
- Original Data from:
-	Hayasaka, K., T. Gojobori, and S. Horai. 1988. Molecular phylogeny
-		and evolution of primate mitochondrial DNA. Mol. Biol. Evol.
-		5:626-644.
-]
-
-BEGIN TAXA;
-	DIMENSIONS NTAX=12;
-	TAXLABELS
-        Lemur_catta        	
-        Homo_sapiens       	
-        Pan                	
-        Gorilla            	
-        Pongo              	
-        Hylobates          	
-        Macaca_fuscata     	
-        Macaca_mulatta     	
-        Macaca_fascicularis	
-        Macaca_sylvanus    	
-        Saimiri_sciureus   	
-        Tarsius_syrichta   	
-        ;	
-END;
-
-BEGIN CHARACTERS;
-	DIMENSIONS NCHAR=898;
-	FORMAT DATATYPE=DNA GAP=- INTERLEAVE=yes;
-	MATRIX
-	Lemur_catta         AAGCTTCATAGGAGCAACCATTCTAATAATCGCACATGGCCTTACATCATCCATATTATT
-	Homo_sapiens        AAGCTTCACCGGCGCAGTCATTCTCATAATCGCCCACGGGCTTACATCCTCATTACTATT
-	Pan                 AAGCTTCACCGGCGCAATTATCCTCATAATCGCCCACGGACTTACATCCTCATTATTATT
-	Gorilla             AAGCTTCACCGGCGCAGTTGTTCTTATAATTGCCCACGGACTTACATCATCATTATTATT
-	Pongo               AAGCTTCACCGGCGCAACCACCCTCATGATTGCCCATGGACTCACATCCTCCCTACTGTT
-	Hylobates           AAGCTTTACAGGTGCAACCGTCCTCATAATCGCCCACGGACTAACCTCTTCCCTGCTATT
-	Macaca_fuscata      AAGCTTTTCCGGCGCAACCATCCTTATGATCGCTCACGGACTCACCTCTTCCATATATTT
-	Macaca_mulatta      AAGCTTTTCTGGCGCAACCATCCTCATGATTGCTCACGGACTCACCTCTTCCATATATTT
-	Macaca_fascicularis AAGCTTCTCCGGCGCAACCACCCTTATAATCGCCCACGGGCTCACCTCTTCCATGTATTT
-	Macaca_sylvanus     AAGCTTCTCCGGTGCAACTATCCTTATAGTTGCCCATGGACTCACCTCTTCCATATACTT
-	Saimiri_sciureus    AAGCTTCACCGGCGCAATGATCCTAATAATCGCTCACGGGTTTACTTCGTCTATGCTATT
-	Tarsius_syrichta    AAGTTTCATTGGAGCCACCACTCTTATAATTGCCCATGGCCTCACCTCCTCCCTATTATT
-
-	Lemur_catta         CTGTCTAGCCAACTCTAACTACGAACGAATCCATAGCCGTACAATACTACTAGCACGAGG
-	Homo_sapiens        CTGCCTAGCAAACTCAAACTACGAACGCACTCACAGTCGCATCATAATCCTCTCTCAAGG
-	Pan                 CTGCCTAGCAAACTCAAATTATGAACGCACCCACAGTCGCATCATAATTCTCTCCCAAGG
-	Gorilla             CTGCCTAGCAAACTCAAACTACGAACGAACCCACAGCCGCATCATAATTCTCTCTCAAGG
-	Pongo               CTGCCTAGCAAACTCAAACTACGAACGAACCCACAGCCGCATCATAATCCTCTCTCAAGG
-	Hylobates           CTGCCTTGCAAACTCAAACTACGAACGAACTCACAGCCGCATCATAATCCTATCTCGAGG
-	Macaca_fuscata      CTGCCTAGCCAATTCAAACTATGAACGCACTCACAACCGTACCATACTACTGTCCCGAGG
-	Macaca_mulatta      CTGCCTAGCCAATTCAAACTATGAACGCACTCACAACCGTACCATACTACTGTCCCGGGG
-	Macaca_fascicularis CTGCTTGGCCAATTCAAACTATGAGCGCACTCATAACCGTACCATACTACTATCCCGAGG
-	Macaca_sylvanus     CTGCTTGGCCAACTCAAACTACGAACGCACCCACAGCCGCATCATACTACTATCCCGAGG
-	Saimiri_sciureus    CTGCCTAGCAAACTCAAATTACGAACGAATTCACAGCCGAACAATAACATTTACTCGAGG
-	Tarsius_syrichta    TTGCCTAGCAAATACAAACTACGAACGAGTCCACAGTCGAACAATAGCACTAGCCCGTGG
-
-	Lemur_catta         GATCCAAACCATTCTCCCTCTTATAGCCACCTGATGACTACTCGCCAGCCTAACTAACCT
-	Homo_sapiens        ACTTCAAACTCTACTCCCACTAATAGCTTTTTGATGACTTCTAGCAAGCCTCGCTAACCT
-	Pan                 ACTTCAAACTCTACTCCCACTAATAGCCTTTTGATGACTCCTAGCAAGCCTCGCTAACCT
-	Gorilla             ACTCCAAACCCTACTCCCACTAATAGCCCTTTGATGACTTCTGGCAAGCCTCGCCAACCT
-	Pongo               CCTTCAAACTCTACTCCCCCTAATAGCCCTCTGATGACTTCTAGCAAGCCTCACTAACCT
-	Hylobates           GCTCCAAGCCTTACTCCCACTGATAGCCTTCTGATGACTCGCAGCAAGCCTCGCTAACCT
-	Macaca_fuscata      ACTTCAAATCCTACTTCCACTAACAGCCTTTTGATGATTAACAGCAAGCCTTACTAACCT
-	Macaca_mulatta      ACTTCAAATCCTACTTCCACTAACAGCTTTCTGATGATTAACAGCAAGCCTTACTAACCT
-	Macaca_fascicularis ACTTCAAATTCTACTTCCATTGACAGCCTTCTGATGACTCACAGCAAGCCTTACTAACCT
-	Macaca_sylvanus     ACTCCAAATCCTACTCCCACTAACAGCCTTCTGATGATTCACAGCAAGCCTTACTAATCT
-	Saimiri_sciureus    GCTCCAAACACTATTCCCGCTTATAGGCCTCTGATGACTCCTAGCAAATCTCGCTAACCT
-	Tarsius_syrichta    CCTTCAAACCCTATTACCTCTTGCAGCAACATGATGACTCCTCGCCAGCTTAACCAACCT
-
-	Lemur_catta         AGCCCTACCCACCTCTATCAATTTAATTGGCGAACTATTCGTCACTATAGCATCCTTCTC
-	Homo_sapiens        CGCCTTACCCCCCACTATTAACCTACTGGGAGAACTCTCTGTGCTAGTAACCACGTTCTC
-	Pan                 CGCCCTACCCCCTACCATTAATCTCCTAGGGGAACTCTCCGTGCTAGTAACCTCATTCTC
-	Gorilla             CGCCTTACCCCCCACCATTAACCTACTAGGAGAGCTCTCCGTACTAGTAACCACATTCTC
-	Pongo               TGCCCTACCACCCACCATCAACCTTCTAGGAGAACTCTCCGTACTAATAGCCATATTCTC
-	Hylobates           CGCCCTACCCCCCACTATTAACCTCCTAGGTGAACTCTTCGTACTAATGGCCTCCTTCTC
-	Macaca_fuscata      TGCCCTACCCCCCACTATCAATCTACTAGGTGAACTCTTTGTAATCGCAACCTCATTCTC
-	Macaca_mulatta      TGCCCTACCCCCCACTATCAACCTACTAGGTGAACTCTTTGTAATCGCGACCTCATTCTC
-	Macaca_fascicularis TGCCCTACCCCCCACTATTAATCTACTAGGCGAACTCTTTGTAATCACAACTTCATTTTC
-	Macaca_sylvanus     TGCTCTACCCTCCACTATTAATCTACTGGGCGAACTCTTCGTAATCGCAACCTCATTTTC
-	Saimiri_sciureus    CGCCCTACCCACAGCTATTAATCTAGTAGGAGAATTACTCACAATCGTATCTTCCTTCTC
-	Tarsius_syrichta    GGCCCTTCCCCCAACAATTAATTTAATCGGTGAACTGTCCGTAATAATAGCAGCATTTTC
-
-	Lemur_catta         ATGATCAAACATTACAATTATCTTAATAGGCTTAAATATGCTCATCACCGCTCTCTATTC
-	Homo_sapiens        CTGATCAAATATCACTCTCCTACTTACAGGACTCAACATACTAGTCACAGCCCTATACTC
-	Pan                 CTGATCAAATACCACTCTCCTACTCACAGGATTCAACATACTAATCACAGCCCTGTACTC
-	Gorilla             CTGATCAAACACCACCCTTTTACTTACAGGATCTAACATACTAATTACAGCCCTGTACTC
-	Pongo               TTGATCTAACATCACCATCCTACTAACAGGACTCAACATACTAATCACAACCCTATACTC
-	Hylobates           CTGGGCAAACACTACTATTACACTCACCGGGCTCAACGTACTAATCACGGCCCTATACTC
-	Macaca_fuscata      CTGATCCCATATCACCATTATGCTAACAGGACTTAACATATTAATTACGGCCCTCTACTC
-	Macaca_mulatta      CTGGTCCCATATCACCATTATATTAACAGGATTTAACATACTAATTACGGCCCTCTACTC
-	Macaca_fascicularis CTGATCCCATATCACCATTGTGTTAACGGGCCTTAATATACTAATCACAGCCCTCTACTC
-	Macaca_sylvanus     CTGATCCCACATCACCATCATACTAACAGGACTGAACATACTAATTACAGCCCTCTACTC
-	Saimiri_sciureus    TTGATCCAACTTTACTATTATATTCACAGGACTTAATATACTAATTACAGCACTCTACTC
-	Tarsius_syrichta    ATGGTCACACCTAACTATTATCTTAGTAGGCCTTAACACCCTTATCACCGCCCTATATTC
-
-	Lemur_catta         CCTCTATATATTAACTACTACACAACGAGGAAAACTCACATATCATTCGCACAACCTAAA
-	Homo_sapiens        CCTCTACATATTTACCACAACACAATGGGGCTCACTCACCCACCACATTAACAACATAAA
-	Pan                 CCTCTACATGTTTACCACAACACAATGAGGCTCACTCACCCACCACATTAATAACATAAA
-	Gorilla             CCTTTATATATTTACCACAACACAATGAGGCCCACTCACACACCACATCACCAACATAAA
-	Pongo               TCTCTATATATTCACCACAACACAACGAGGTACACCCACACACCACATCAACAACATAAA
-	Hylobates           CCTTTACATATTTATCATAACACAACGAGGCACACTTACACACCACATTAAAAACATAAA
-	Macaca_fuscata      TCTCCACATATTCACTACAACACAACGAGGAACACTCACACATCACATAATCAACATAAA
-	Macaca_mulatta      CCTCCACATATTCACCACAACACAACGAGGAGCACTCACACATCACATAATCAACATAAA
-	Macaca_fascicularis TCTCCACATGTTCATTACAGTACAACGAGGAACACTCACACACCACATAATCAATATAAA
-	Macaca_sylvanus     TCTTCACATATTCACCACAACACAACGAGGAGCGCTCACACACCACATAATTAACATAAA
-	Saimiri_sciureus    ACTTCATATGTATGCCTCTACACAGCGAGGTCCACTTACATACAGCACCAGCAATATAAA
-	Tarsius_syrichta    CCTATATATACTAATCATAACTCAACGAGGAAAATACACATATCATATCAACAATATCAT
-
-	Lemur_catta         CCCATCCTTTACACGAGAAAACACCCTTATATCCATACACATACTCCCCCTTCTCCTATT
-	Homo_sapiens        ACCCTCATTCACACGAGAAAACACCCTCATGTTCATACACCTATCCCCCATTCTCCTCCT
-	Pan                 GCCCTCATTCACACGAGAAAATACTCTCATATTTTTACACCTATCCCCCATCCTCCTTCT
-	Gorilla             ACCCTCATTTACACGAGAAAACATCCTCATATTCATGCACCTATCCCCCATCCTCCTCCT
-	Pongo               ACCTTCTTTCACACGCGAAAATACCCTCATGCTCATACACCTATCCCCCATCCTCCTCTT
-	Hylobates           ACCCTCACTCACACGAGAAAACATATTAATACTTATGCACCTCTTCCCCCTCCTCCTCCT
-	Macaca_fuscata      GCCCCCCTTCACACGAGAAAACACATTAATATTCATACACCTCGCTCCAATTATCCTTCT
-	Macaca_mulatta      ACCCCCCTTCACACGAGAAAACATATTAATATTCATACACCTCGCTCCAATCATCCTCCT
-	Macaca_fascicularis ACCCCCCTTCACACGAGAAAACATATTAATATTCATACACCTCGCTCCAATTATCCTTCT
-	Macaca_sylvanus     ACCACCTTTCACACGAGAAAACATATTAATACTCATACACCTCGCTCCAATTATTCTTCT
-	Saimiri_sciureus    ACCAATATTTACACGAGAAAATACGCTAATATTTATACATATAACACCAATCCTCCTCCT
-	Tarsius_syrichta    GCCCCCTTTCACCCGAGAAAATACATTAATAATCATACACCTATTTCCCTTAATCCTACT
-
-	Lemur_catta         TACCTTAAACCCCAAAATTATTCTAGGACCCACGTACTGTAAATATAGTTTAAA-AAAAC
-	Homo_sapiens        ATCCCTCAACCCCGACATCATTACCGGGTTTTCCTCTTGTAAATATAGTTTAACCAAAAC
-	Pan                 ATCCCTCAATCCTGATATCATCACTGGATTCACCTCCTGTAAATATAGTTTAACCAAAAC
-	Gorilla             ATCCCTCAACCCCGATATTATCACCGGGTTCACCTCCTGTAAATATAGTTTAACCAAAAC
-	Pongo               ATCCCTCAACCCCAGCATCATCGCTGGGTTCGCCTACTGTAAATATAGTTTAACCAAAAC
-	Hylobates           AACCCTCAACCCTAACATCATTACTGGCTTTACTCCCTGTAAACATAGTTTAATCAAAAC
-	Macaca_fuscata      ATCCCTCAACCCCAACATCATCCTGGGGTTTACCTCCTGTAGATATAGTTTAACTAAAAC
-	Macaca_mulatta      ATCTCTCAACCCCAACATCATCCTGGGGTTTACTTCCTGTAGATATAGTTTAACTAAAAC
-	Macaca_fascicularis ATCTCTCAACCCCAACATCATCCTGGGGTTTACCTCCTGTAAATATAGTTTAACTAAAAC
-	Macaca_sylvanus     ATCTCTTAACCCCAACATCATTCTAGGATTTACTTCCTGTAAATATAGTTTAATTAAAAC
-	Saimiri_sciureus    TACCTTGAGCCCCAAGGTAATTATAGGACCCTCACCTTGTAATTATAGTTTAGCTAAAAC
-	Tarsius_syrichta    ATCTACCAACCCCAAAGTAATTATAGGAACCATGTACTGTAAATATAGTTTAAACAAAAC
-
-	Lemur_catta         ACTAGATTGTGAATCCAGAAATAGAAGCTCAAAC-CTTCTTATTTACCGAGAAAGTAATG
-	Homo_sapiens        ATCAGATTGTGAATCTGACAACAGAGGCTTA-CGACCCCTTATTTACCGAGAAAGCT-CA
-	Pan                 ATCAGATTGTGAATCTGACAACAGAGGCTCA-CGACCCCTTATTTACCGAGAAAGCT-TA
-	Gorilla             ATCAGATTGTGAATCTGATAACAGAGGCTCA-CAACCCCTTATTTACCGAGAAAGCT-CG
-	Pongo               ATTAGATTGTGAATCTAATAATAGGGCCCCA-CAACCCCTTATTTACCGAGAAAGCT-CA
-	Hylobates           ATTAGATTGTGAATCTAACAATAGAGGCTCG-AAACCTCTTGCTTACCGAGAAAGCC-CA
-	Macaca_fuscata      ACTAGATTGTGAATCTAACCATAGAGACTCA-CCACCTCTTATTTACCGAGAAAACT-CG
-	Macaca_mulatta      ATTAGATTGTGAATCTAACCATAGAGACTTA-CCACCTCTTATTTACCGAGAAAACT-CG
-	Macaca_fascicularis ATTAGATTGTGAATCTAACTATAGAGGCCTA-CCACTTCTTATTTACCGAGAAAACT-CG
-	Macaca_sylvanus     ATTAGACTGTGAATCTAACTATAGAAGCTTA-CCACTTCTTATTTACCGAGAAAACT-TG
-	Saimiri_sciureus    ATTAGATTGTGAATCTAATAATAGAAGAATA-TAACTTCTTAATTACCGAGAAAGTG-CG
-	Tarsius_syrichta    ATTAGATTGTGAGTCTAATAATAGAAGCCCAAAGATTTCTTATTTACCAAGAAAGTA-TG
-
-	Lemur_catta         TATGAACTGCTAACTCTGCACTCCGTATATAAAAATACGGCTATCTCAACTTTTAAAGGA
-	Homo_sapiens        CAAGAACTGCTAACTCATGCCCCCATGTCTAACAACATGGCTTTCTCAACTTTTAAAGGA
-	Pan                 TAAGAACTGCTAATTCATATCCCCATGCCTGACAACATGGCTTTCTCAACTTTTAAAGGA
-	Gorilla             TAAGAGCTGCTAACTCATACCCCCGTGCTTGACAACATGGCTTTCTCAACTTTTAAAGGA
-	Pongo               CAAGAACTGCTAACTCTCACT-CCATGTGTGACAACATGGCTTTCTCAGCTTTTAAAGGA
-	Hylobates           CAAGAACTGCTAACTCACTATCCCATGTATGACAACATGGCTTTCTCAACTTTTAAAGGA
-	Macaca_fuscata      CAAGGACTGCTAACCCATGTACCCGTACCTAAAATTACGGTTTTCTCAACTTTTAAAGGA
-	Macaca_mulatta      CGAGGACTGCTAACCCATGTATCCGTACCTAAAATTACGGTTTTCTCAACTTTTAAAGGA
-	Macaca_fascicularis CAAGGACTGCTAATCCATGCCTCCGTACTTAAAACTACGGTTTCCTCAACTTTTAAAGGA
-	Macaca_sylvanus     CAAGGACCGCTAATCCACACCTCCGTACTTAAAACTACGGTTTTCTCAACTTTTAAAGGA
-	Saimiri_sciureus    CAAGAACTGCTAATTCATGCTCCCAAGACTAACAACTTGGCTTCCTCAACTTTTAAAGGA
-	Tarsius_syrichta    CAAGAACTGCTAACTCATGCCTCCATATATAACAATGTGGCTTTCTT-ACTTTTAAAGGA
-
-	Lemur_catta         TAGAAGTAATCCATTGGCCTTAGGAGCCAAAAA-ATTGGTGCAACTCCAAATAAAAGTAA
-	Homo_sapiens        TAACAGCTATCCATTGGTCTTAGGCCCCAAAAATTTTGGTGCAACTCCAAATAAAAGTAA
-	Pan                 TAACAGCCATCCGTTGGTCTTAGGCCCCAAAAATTTTGGTGCAACTCCAAATAAAAGTAA
-	Gorilla             TAACAGCTATCCATTGGTCTTAGGACCCAAAAATTTTGGTGCAACTCCAAATAAAAGTAA
-	Pongo               TAACAGCTATCCCTTGGTCTTAGGATCCAAAAATTTTGGTGCAACTCCAAATAAAAGTAA
-	Hylobates           TAACAGCTATCCATTGGTCTTAGGACCCAAAAATTTTGGTGCAACTCCAAATAAAAGTAA
-	Macaca_fuscata      TAACAGCTATCCATTGACCTTAGGAGTCAAAAACATTGGTGCAACTCCAAATAAAAGTAA
-	Macaca_mulatta      TAACAGCTATCCATTGACCTTAGGAGTCAAAAATATTGGTGCAACTCCAAATAAAAGTAA
-	Macaca_fascicularis TAACAGCTATCCATTGACCTTAGGAGTCAAAAACATTGGTGCAACTCCAAATAAAAGTAA
-	Macaca_sylvanus     TAACAGCTATCCATTGGCCTTAGGAGTCAAAAATATTGGTGCAACTCCAAATAAAAGTAA
-	Saimiri_sciureus    TAGTAGTTATCCATTGGTCTTAGGAGCCAAAAACATTGGTGCAACTCCAAATAAAAGTAA
-	Tarsius_syrichta    TAGAAGTAATCCATCGGTCTTAGGAACCGAAAA-ATTGGTGCAACTCCAAATAAAAGTAA
-
-	Lemur_catta         TAAATCTATTATCCTCTTTCACCCTTGTCACACTGATTATCCTAACTTTACCTATCATTA
-	Homo_sapiens        TAACCATGCACACTACTATAACCACCCTAACCCTGACTTCCCTAATTCCCCCCATCCTTA
-	Pan                 TAACCATGTATACTACCATAACCACCTTAACCCTAACTCCCTTAATTCTCCCCATCCTCA
-	Gorilla             TAACTATGTACGCTACCATAACCACCTTAGCCCTAACTTCCTTAATTCCCCCTATCCTTA
-	Pongo               CAGCCATGTTTACCACCATAACTGCCCTCACCTTAACTTCCCTAATCCCCCCCATTACCG
-	Hylobates           TAGCAATGTACACCACCATAGCCATTCTAACGCTAACCTCCCTAATTCCCCCCATTACAG
-	Macaca_fuscata      TAATCATGCACACCCCCATCATTATAACAACCCTTATCTCCCTAACTCTCCCAATTTTTG
-	Macaca_mulatta      TAATCATGCACACCCCTATCATAATAACAACCCTTATCTCCCTAACTCTCCCAATTTTTG
-	Macaca_fascicularis TAATCATGCACACCCCCATCATAATAACAACCCTCATCTCCCTGACCCTTCCAATTTTTG
-	Macaca_sylvanus     TAATCATGTATACCCCCATCATAATAACAACTCTCATCTCCCTAACTCTTCCAATTTTCG
-	Saimiri_sciureus    TA---ATACACTTCTCCATCACTCTAATAACACTAATTAGCCTACTAGCGCCAATCCTAG
-	Tarsius_syrichta    TAAATTTATTTTCATCCTCCATTTTACTATCACTTACACTCTTAATTACCCCATTTATTA
-
-	Lemur_catta         TAAACGTTACAAACATATACAAAAACTACCCCTATGCACCATACGTAAAATCTTCTATTG
-	Homo_sapiens        CCACCCTCGTTAACCCTAACAAAAAAAACTCATACCCCCATTATGTAAAATCCATTGTCG
-	Pan                 CCACCCTCATTAACCCTAACAAAAAAAACTCATATCCCCATTATGTGAAATCCATTATCG
-	Gorilla             CCACCTTCATCAATCCTAACAAAAAAAGCTCATACCCCCATTACGTAAAATCTATCGTCG
-	Pongo               CTACCCTCATTAACCCCAACAAAAAAAACCCATACCCCCACTATGTAAAAACGGCCATCG
-	Hylobates           CCACCCTTATTAACCCCAATAAAAAGAACTTATACCCGCACTACGTAAAAATGACCATTG
-	Macaca_fuscata      CCACCCTCATCAACCCTTACAAAAAACGTCCATACCCAGATTACGTAAAAACAACCGTAA
-	Macaca_mulatta      CCACCCTCATCAACCCTTACAAAAAACGTCCATACCCAGATTACGTAAAAACAACCGTAA
-	Macaca_fascicularis CCACCCTCACCAACCCCTATAAAAAACGTTCATACCCAGACTACGTAAAAACAACCGTAA
-	Macaca_sylvanus     CTACCCTTATCAACCCCAACAAAAAACACCTATATCCAAACTACGTAAAAACAGCCGTAA
-	Saimiri_sciureus    CTACCCTCATTAACCCTAACAAAAGCACACTATACCCGTACTACGTAAAACTAGCCATCA
-	Tarsius_syrichta    TTACAACAACTAAAAAATATGAAACACATGCATACCCTTACTACGTAAAAAACTCTATCG
-
-	Lemur_catta         CATGTGCCTTCATCACTAGCCTCATCCCAACTATATTATTTATCTCCTCAGGACAAGAAA
-	Homo_sapiens        CATCCACCTTTATTATCAGTCTCTTCCCCACAACAATATTCATGTGCCTAGACCAAGAAG
-	Pan                 CGTCCACCTTTATCATTAGCCTTTTCCCCACAACAATATTCATATGCCTAGACCAAGAAG
-	Gorilla             CATCCACCTTTATCATCAGCCTCTTCCCCACAACAATATTTCTATGCCTAGACCAAGAAG
-	Pongo               CATCCGCCTTTACTATCAGCCTTATCCCAACAACAATATTTATCTGCCTAGGACAAGAAA
-	Hylobates           CCTCTACCTTTATAATCAGCCTATTTCCCACAATAATATTCATGTGCACAGACCAAGAAA
-	Macaca_fuscata      TATATGCTTTCATCATCAGCCTCCCCTCAACAACTTTATTCATCTTCTCAAACCAAGAAA
-	Macaca_mulatta      TATATGCTTTCATCATCAGCCTCCCCTCAACAACTTTATTCATCTTCTCAAACCAAGAAA
-	Macaca_fascicularis TATATGCTTTTATTACCAGTCTCCCCTCAACAACCCTATTCATCCTCTCAAACCAAGAAA
-	Macaca_sylvanus     TATATGCTTTCATTACCAGCCTCTCTTCAACAACTTTATATATATTCTTAAACCAAGAAA
-	Saimiri_sciureus    TCTACGCCCTCATTACCAGTACCTTATCTATAATATTCTTTATCCTTACAGGCCAAGAAT
-	Tarsius_syrichta    CCTGCGCATTTATAACAAGCCTAGTCCCAATGCTCATATTTCTATACACAAATCAAGAAA
-
-	Lemur_catta         CAATCATTTCCAACTGACATTGAATAACAATCCAAACCCTAAAACTATCTATTAGCTT
-	Homo_sapiens        TTATTATCTCGAACTGACACTGAGCCACAACCCAAACAACCCAGCTCTCCCTAAGCTT
-	Pan                 CTATTATCTCAAACTGGCACTGAGCAACAACCCAAACAACCCAGCTCTCCCTAAGCTT
-	Gorilla             CTATTATCTCAAGCTGACACTGAGCAACAACCCAAACAATTCAACTCTCCCTAAGCTT
-	Pongo               CCATCGTCACAAACTGATGCTGAACAACCACCCAGACACTACAACTCTCACTAAGCTT
-	Hylobates           CCATTATTTCAAACTGACACTGAACTGCAACCCAAACGCTAGAACTCTCCCTAAGCTT
-	Macaca_fuscata      CAACCATTTGGAGCTGACATTGAATAATGACCCAAACACTAGACCTAACGCTAAGCTT
-	Macaca_mulatta      CAACCATTTGAAGCTGACATTGAATAATAACCCAAACACTAGACCTAACACTAAGCTT
-	Macaca_fascicularis CAACCATTTGGAGTTGACATTGAATAACAACCCAAACATTAGACCTAACACTAAGCTT
-	Macaca_sylvanus     CAATCATCTGAAGCTGGCACTGAATAATAACCCAAACACTAAGCCTAACATTAAGCTT
-	Saimiri_sciureus    CAATAATTTCAAACTGACACTGAATAACTATCCAAACCATCAAACTATCCCTAAGCTT
-	Tarsius_syrichta    TAATCATTTCCAACTGACATTGAATAACGATTCATACTATCAAATTATGCCTAAGCTT
-		;
-		
-END;
diff --git a/doc/source/examples/primates.chars.nexus b/doc/source/examples/primates.chars.nexus
deleted file mode 100644
index 75f4722..0000000
--- a/doc/source/examples/primates.chars.nexus
+++ /dev/null
@@ -1,45 +0,0 @@
-#NEXUS 
-
-[Modified from example data distributed with PAUP* 4.01b.
- Original Data from:
-	Hayasaka, K., T. Gojobori, and S. Horai. 1988. Molecular phylogeny
-		and evolution of primate mitochondrial DNA. Mol. Biol. Evol.
-		5:626-644.
-]
-
-BEGIN TAXA;
-	DIMENSIONS NTAX=12;
-	TAXLABELS
-        Lemur_catta        	
-        Homo_sapiens       	
-        Pan                	
-        Gorilla            	
-        Pongo              	
-        Hylobates          	
-        Macaca_fuscata     	
-        Macaca_mulatta     	
-        Macaca_fascicularis	
-        Macaca_sylvanus    	
-        Saimiri_sciureus   	
-        Tarsius_syrichta   	
-	;	
-END;
-
-BEGIN CHARACTERS;
-	DIMENSIONS NCHAR=898;
-	FORMAT DATATYPE=DNA GAP=-;
-	MATRIX
-Lemur_catta      AAGCTTCATAGGAGCAACCATTCTAATAATCGCACATGGCCTTACATCATCCATATTATTCTGTCTAGCCAACTCTAACTACGAACGAATCCATAGCCGTACAATACTACTAGCACGAGGGATCCAAACCATTCTCCCTCTTATAGCCACCTGATGACTACTCGCCAGCCTAACTAACCTAGCCCTACCCACCTCTATCAATTTAATTGGCGAACTATTCGTCACTATAGCATCCTTCTCATGATCAAACATTACAATTATCTTAATAGGCTTAAATATGCTCATCACCGCTCTCTATTCCCTCTATATATTAACTACTACACAACGAGGAAAACTCACATATCATTCGCACAACCTAAACCCATCCTTTACACGAGAAAACACCCTTATATCCATACACATACTCCCCCTTCTCCTATTTACCTTAAACCCCAAAATTATTCTAGGACCCACGTACTGTAAATATAGTTTAAA- [...]
-Homo_sapiens     AAGCTTCACCGGCGCAGTCATTCTCATAATCGCCCACGGGCTTACATCCTCATTACTATTCTGCCTAGCAAACTCAAACTACGAACGCACTCACAGTCGCATCATAATCCTCTCTCAAGGACTTCAAACTCTACTCCCACTAATAGCTTTTTGATGACTTCTAGCAAGCCTCGCTAACCTCGCCTTACCCCCCACTATTAACCTACTGGGAGAACTCTCTGTGCTAGTAACCACGTTCTCCTGATCAAATATCACTCTCCTACTTACAGGACTCAACATACTAGTCACAGCCCTATACTCCCTCTACATATTTACCACAACACAATGGGGCTCACTCACCCACCACATTAACAACATAAAACCCTCATTCACACGAGAAAACACCCTCATGTTCATACACCTATCCCCCATTCTCCTCCTATCCCTCAACCCCGACATCATTACCGGGTTTTCCTCTTGTAAATATAGTTTAACC [...]
-Pan              AAGCTTCACCGGCGCAATTATCCTCATAATCGCCCACGGACTTACATCCTCATTATTATTCTGCCTAGCAAACTCAAATTATGAACGCACCCACAGTCGCATCATAATTCTCTCCCAAGGACTTCAAACTCTACTCCCACTAATAGCCTTTTGATGACTCCTAGCAAGCCTCGCTAACCTCGCCCTACCCCCTACCATTAATCTCCTAGGGGAACTCTCCGTGCTAGTAACCTCATTCTCCTGATCAAATACCACTCTCCTACTCACAGGATTCAACATACTAATCACAGCCCTGTACTCCCTCTACATGTTTACCACAACACAATGAGGCTCACTCACCCACCACATTAATAACATAAAGCCCTCATTCACACGAGAAAATACTCTCATATTTTTACACCTATCCCCCATCCTCCTTCTATCCCTCAATCCTGATATCATCACTGGATTCACCTCCTGTAAATATAGTTTAACC [...]
-Gorilla          AAGCTTCACCGGCGCAGTTGTTCTTATAATTGCCCACGGACTTACATCATCATTATTATTCTGCCTAGCAAACTCAAACTACGAACGAACCCACAGCCGCATCATAATTCTCTCTCAAGGACTCCAAACCCTACTCCCACTAATAGCCCTTTGATGACTTCTGGCAAGCCTCGCCAACCTCGCCTTACCCCCCACCATTAACCTACTAGGAGAGCTCTCCGTACTAGTAACCACATTCTCCTGATCAAACACCACCCTTTTACTTACAGGATCTAACATACTAATTACAGCCCTGTACTCCCTTTATATATTTACCACAACACAATGAGGCCCACTCACACACCACATCACCAACATAAAACCCTCATTTACACGAGAAAACATCCTCATATTCATGCACCTATCCCCCATCCTCCTCCTATCCCTCAACCCCGATATTATCACCGGGTTCACCTCCTGTAAATATAGTTTAACC [...]
-Pongo            AAGCTTCACCGGCGCAACCACCCTCATGATTGCCCATGGACTCACATCCTCCCTACTGTTCTGCCTAGCAAACTCAAACTACGAACGAACCCACAGCCGCATCATAATCCTCTCTCAAGGCCTTCAAACTCTACTCCCCCTAATAGCCCTCTGATGACTTCTAGCAAGCCTCACTAACCTTGCCCTACCACCCACCATCAACCTTCTAGGAGAACTCTCCGTACTAATAGCCATATTCTCTTGATCTAACATCACCATCCTACTAACAGGACTCAACATACTAATCACAACCCTATACTCTCTCTATATATTCACCACAACACAACGAGGTACACCCACACACCACATCAACAACATAAAACCTTCTTTCACACGCGAAAATACCCTCATGCTCATACACCTATCCCCCATCCTCCTCTTATCCCTCAACCCCAGCATCATCGCTGGGTTCGCCTACTGTAAATATAGTTTAACC [...]
-Hylobates        AAGCTTTACAGGTGCAACCGTCCTCATAATCGCCCACGGACTAACCTCTTCCCTGCTATTCTGCCTTGCAAACTCAAACTACGAACGAACTCACAGCCGCATCATAATCCTATCTCGAGGGCTCCAAGCCTTACTCCCACTGATAGCCTTCTGATGACTCGCAGCAAGCCTCGCTAACCTCGCCCTACCCCCCACTATTAACCTCCTAGGTGAACTCTTCGTACTAATGGCCTCCTTCTCCTGGGCAAACACTACTATTACACTCACCGGGCTCAACGTACTAATCACGGCCCTATACTCCCTTTACATATTTATCATAACACAACGAGGCACACTTACACACCACATTAAAAACATAAAACCCTCACTCACACGAGAAAACATATTAATACTTATGCACCTCTTCCCCCTCCTCCTCCTAACCCTCAACCCTAACATCATTACTGGCTTTACTCCCTGTAAACATAGTTTAATC [...]
-Macaca_fuscata   AAGCTTTTCCGGCGCAACCATCCTTATGATCGCTCACGGACTCACCTCTTCCATATATTTCTGCCTAGCCAATTCAAACTATGAACGCACTCACAACCGTACCATACTACTGTCCCGAGGACTTCAAATCCTACTTCCACTAACAGCCTTTTGATGATTAACAGCAAGCCTTACTAACCTTGCCCTACCCCCCACTATCAATCTACTAGGTGAACTCTTTGTAATCGCAACCTCATTCTCCTGATCCCATATCACCATTATGCTAACAGGACTTAACATATTAATTACGGCCCTCTACTCTCTCCACATATTCACTACAACACAACGAGGAACACTCACACATCACATAATCAACATAAAGCCCCCCTTCACACGAGAAAACACATTAATATTCATACACCTCGCTCCAATTATCCTTCTATCCCTCAACCCCAACATCATCCTGGGGTTTACCTCCTGTAGATATAGTTTAACT [...]
-Macaca_mulatta       AAGCTTTTCTGGCGCAACCATCCTCATGATTGCTCACGGACTCACCTCTTCCATATATTTCTGCCTAGCCAATTCAAACTATGAACGCACTCACAACCGTACCATACTACTGTCCCGGGGACTTCAAATCCTACTTCCACTAACAGCTTTCTGATGATTAACAGCAAGCCTTACTAACCTTGCCCTACCCCCCACTATCAACCTACTAGGTGAACTCTTTGTAATCGCGACCTCATTCTCCTGGTCCCATATCACCATTATATTAACAGGATTTAACATACTAATTACGGCCCTCTACTCCCTCCACATATTCACCACAACACAACGAGGAGCACTCACACATCACATAATCAACATAAAACCCCCCTTCACACGAGAAAACATATTAATATTCATACACCTCGCTCCAATCATCCTCCTATCTCTCAACCCCAACATCATCCTGGGGTTTACTTCCTGTAGATATAGTTT [...]
-Macaca_fascicularis  AAGCTTCTCCGGCGCAACCACCCTTATAATCGCCCACGGGCTCACCTCTTCCATGTATTTCTGCTTGGCCAATTCAAACTATGAGCGCACTCATAACCGTACCATACTACTATCCCGAGGACTTCAAATTCTACTTCCATTGACAGCCTTCTGATGACTCACAGCAAGCCTTACTAACCTTGCCCTACCCCCCACTATTAATCTACTAGGCGAACTCTTTGTAATCACAACTTCATTTTCCTGATCCCATATCACCATTGTGTTAACGGGCCTTAATATACTAATCACAGCCCTCTACTCTCTCCACATGTTCATTACAGTACAACGAGGAACACTCACACACCACATAATCAATATAAAACCCCCCTTCACACGAGAAAACATATTAATATTCATACACCTCGCTCCAATTATCCTTCTATCTCTCAACCCCAACATCATCCTGGGGTTTACCTCCTGTAAATATAGTTT [...]
-Macaca_sylvanus      AAGCTTCTCCGGTGCAACTATCCTTATAGTTGCCCATGGACTCACCTCTTCCATATACTTCTGCTTGGCCAACTCAAACTACGAACGCACCCACAGCCGCATCATACTACTATCCCGAGGACTCCAAATCCTACTCCCACTAACAGCCTTCTGATGATTCACAGCAAGCCTTACTAATCTTGCTCTACCCTCCACTATTAATCTACTGGGCGAACTCTTCGTAATCGCAACCTCATTTTCCTGATCCCACATCACCATCATACTAACAGGACTGAACATACTAATTACAGCCCTCTACTCTCTTCACATATTCACCACAACACAACGAGGAGCGCTCACACACCACATAATTAACATAAAACCACCTTTCACACGAGAAAACATATTAATACTCATACACCTCGCTCCAATTATTCTTCTATCTCTTAACCCCAACATCATTCTAGGATTTACTTCCTGTAAATATAGTTT [...]
-Saimiri_sciureus AAGCTTCACCGGCGCAATGATCCTAATAATCGCTCACGGGTTTACTTCGTCTATGCTATTCTGCCTAGCAAACTCAAATTACGAACGAATTCACAGCCGAACAATAACATTTACTCGAGGGCTCCAAACACTATTCCCGCTTATAGGCCTCTGATGACTCCTAGCAAATCTCGCTAACCTCGCCCTACCCACAGCTATTAATCTAGTAGGAGAATTACTCACAATCGTATCTTCCTTCTCTTGATCCAACTTTACTATTATATTCACAGGACTTAATATACTAATTACAGCACTCTACTCACTTCATATGTATGCCTCTACACAGCGAGGTCCACTTACATACAGCACCAGCAATATAAAACCAATATTTACACGAGAAAATACGCTAATATTTATACATATAACACCAATCCTCCTCCTTACCTTGAGCCCCAAGGTAATTATAGGACCCTCACCTTGTAATTATAGTTTAGCT [...]
-Tarsius_syrichta AAGTTTCATTGGAGCCACCACTCTTATAATTGCCCATGGCCTCACCTCCTCCCTATTATTTTGCCTAGCAAATACAAACTACGAACGAGTCCACAGTCGAACAATAGCACTAGCCCGTGGCCTTCAAACCCTATTACCTCTTGCAGCAACATGATGACTCCTCGCCAGCTTAACCAACCTGGCCCTTCCCCCAACAATTAATTTAATCGGTGAACTGTCCGTAATAATAGCAGCATTTTCATGGTCACACCTAACTATTATCTTAGTAGGCCTTAACACCCTTATCACCGCCCTATATTCCCTATATATACTAATCATAACTCAACGAGGAAAATACACATATCATATCAACAATATCATGCCCCCTTTCACCCGAGAAAATACATTAATAATCATACACCTATTTCCCTTAATCCTACTATCTACCAACCCCAAAGTAATTATAGGAACCATGTACTGTAAATATAGTTTAAAC [...]
-	;
-END;
diff --git a/doc/source/examples/primates.chars.simple.interleaved.nexus b/doc/source/examples/primates.chars.simple.interleaved.nexus
deleted file mode 100644
index cfe248a..0000000
--- a/doc/source/examples/primates.chars.simple.interleaved.nexus
+++ /dev/null
@@ -1,202 +0,0 @@
-#NEXUS 
-
-Begin data;
-	Dimensions ntax=12 nchar=898;
-	Format datatype=dna interleave gap=-;
-	Matrix
-Lemur_catta         AAGCTTCATAGGAGCAACCATTCTAATAATCGCACATGGCCTTACATCATCCATATTATT
-Homo_sapiens        AAGCTTCACCGGCGCAGTCATTCTCATAATCGCCCACGGGCTTACATCCTCATTACTATT
-Pan                 AAGCTTCACCGGCGCAATTATCCTCATAATCGCCCACGGACTTACATCCTCATTATTATT
-Gorilla             AAGCTTCACCGGCGCAGTTGTTCTTATAATTGCCCACGGACTTACATCATCATTATTATT
-Pongo               AAGCTTCACCGGCGCAACCACCCTCATGATTGCCCATGGACTCACATCCTCCCTACTGTT
-Hylobates           AAGCTTTACAGGTGCAACCGTCCTCATAATCGCCCACGGACTAACCTCTTCCCTGCTATT
-Macaca_fuscata      AAGCTTTTCCGGCGCAACCATCCTTATGATCGCTCACGGACTCACCTCTTCCATATATTT
-Macaca_mulatta      AAGCTTTTCTGGCGCAACCATCCTCATGATTGCTCACGGACTCACCTCTTCCATATATTT
-Macaca_fascicularis AAGCTTCTCCGGCGCAACCACCCTTATAATCGCCCACGGGCTCACCTCTTCCATGTATTT
-Macaca_sylvanus     AAGCTTCTCCGGTGCAACTATCCTTATAGTTGCCCATGGACTCACCTCTTCCATATACTT
-Saimiri_sciureus    AAGCTTCACCGGCGCAATGATCCTAATAATCGCTCACGGGTTTACTTCGTCTATGCTATT
-Tarsius_syrichta    AAGTTTCATTGGAGCCACCACTCTTATAATTGCCCATGGCCTCACCTCCTCCCTATTATT
-
-Lemur_catta         CTGTCTAGCCAACTCTAACTACGAACGAATCCATAGCCGTACAATACTACTAGCACGAGG
-Homo_sapiens        CTGCCTAGCAAACTCAAACTACGAACGCACTCACAGTCGCATCATAATCCTCTCTCAAGG
-Pan                 CTGCCTAGCAAACTCAAATTATGAACGCACCCACAGTCGCATCATAATTCTCTCCCAAGG
-Gorilla             CTGCCTAGCAAACTCAAACTACGAACGAACCCACAGCCGCATCATAATTCTCTCTCAAGG
-Pongo               CTGCCTAGCAAACTCAAACTACGAACGAACCCACAGCCGCATCATAATCCTCTCTCAAGG
-Hylobates           CTGCCTTGCAAACTCAAACTACGAACGAACTCACAGCCGCATCATAATCCTATCTCGAGG
-Macaca_fuscata      CTGCCTAGCCAATTCAAACTATGAACGCACTCACAACCGTACCATACTACTGTCCCGAGG
-Macaca_mulatta      CTGCCTAGCCAATTCAAACTATGAACGCACTCACAACCGTACCATACTACTGTCCCGGGG
-Macaca_fascicularis CTGCTTGGCCAATTCAAACTATGAGCGCACTCATAACCGTACCATACTACTATCCCGAGG
-Macaca_sylvanus     CTGCTTGGCCAACTCAAACTACGAACGCACCCACAGCCGCATCATACTACTATCCCGAGG
-Saimiri_sciureus    CTGCCTAGCAAACTCAAATTACGAACGAATTCACAGCCGAACAATAACATTTACTCGAGG
-Tarsius_syrichta    TTGCCTAGCAAATACAAACTACGAACGAGTCCACAGTCGAACAATAGCACTAGCCCGTGG
-
-Lemur_catta         GATCCAAACCATTCTCCCTCTTATAGCCACCTGATGACTACTCGCCAGCCTAACTAACCT
-Homo_sapiens        ACTTCAAACTCTACTCCCACTAATAGCTTTTTGATGACTTCTAGCAAGCCTCGCTAACCT
-Pan                 ACTTCAAACTCTACTCCCACTAATAGCCTTTTGATGACTCCTAGCAAGCCTCGCTAACCT
-Gorilla             ACTCCAAACCCTACTCCCACTAATAGCCCTTTGATGACTTCTGGCAAGCCTCGCCAACCT
-Pongo               CCTTCAAACTCTACTCCCCCTAATAGCCCTCTGATGACTTCTAGCAAGCCTCACTAACCT
-Hylobates           GCTCCAAGCCTTACTCCCACTGATAGCCTTCTGATGACTCGCAGCAAGCCTCGCTAACCT
-Macaca_fuscata      ACTTCAAATCCTACTTCCACTAACAGCCTTTTGATGATTAACAGCAAGCCTTACTAACCT
-Macaca_mulatta      ACTTCAAATCCTACTTCCACTAACAGCTTTCTGATGATTAACAGCAAGCCTTACTAACCT
-Macaca_fascicularis ACTTCAAATTCTACTTCCATTGACAGCCTTCTGATGACTCACAGCAAGCCTTACTAACCT
-Macaca_sylvanus     ACTCCAAATCCTACTCCCACTAACAGCCTTCTGATGATTCACAGCAAGCCTTACTAATCT
-Saimiri_sciureus    GCTCCAAACACTATTCCCGCTTATAGGCCTCTGATGACTCCTAGCAAATCTCGCTAACCT
-Tarsius_syrichta    CCTTCAAACCCTATTACCTCTTGCAGCAACATGATGACTCCTCGCCAGCTTAACCAACCT
-
-Lemur_catta         AGCCCTACCCACCTCTATCAATTTAATTGGCGAACTATTCGTCACTATAGCATCCTTCTC
-Homo_sapiens        CGCCTTACCCCCCACTATTAACCTACTGGGAGAACTCTCTGTGCTAGTAACCACGTTCTC
-Pan                 CGCCCTACCCCCTACCATTAATCTCCTAGGGGAACTCTCCGTGCTAGTAACCTCATTCTC
-Gorilla             CGCCTTACCCCCCACCATTAACCTACTAGGAGAGCTCTCCGTACTAGTAACCACATTCTC
-Pongo               TGCCCTACCACCCACCATCAACCTTCTAGGAGAACTCTCCGTACTAATAGCCATATTCTC
-Hylobates           CGCCCTACCCCCCACTATTAACCTCCTAGGTGAACTCTTCGTACTAATGGCCTCCTTCTC
-Macaca_fuscata      TGCCCTACCCCCCACTATCAATCTACTAGGTGAACTCTTTGTAATCGCAACCTCATTCTC
-Macaca_mulatta      TGCCCTACCCCCCACTATCAACCTACTAGGTGAACTCTTTGTAATCGCGACCTCATTCTC
-Macaca_fascicularis TGCCCTACCCCCCACTATTAATCTACTAGGCGAACTCTTTGTAATCACAACTTCATTTTC
-Macaca_sylvanus     TGCTCTACCCTCCACTATTAATCTACTGGGCGAACTCTTCGTAATCGCAACCTCATTTTC
-Saimiri_sciureus    CGCCCTACCCACAGCTATTAATCTAGTAGGAGAATTACTCACAATCGTATCTTCCTTCTC
-Tarsius_syrichta    GGCCCTTCCCCCAACAATTAATTTAATCGGTGAACTGTCCGTAATAATAGCAGCATTTTC
-
-Lemur_catta         ATGATCAAACATTACAATTATCTTAATAGGCTTAAATATGCTCATCACCGCTCTCTATTC
-Homo_sapiens        CTGATCAAATATCACTCTCCTACTTACAGGACTCAACATACTAGTCACAGCCCTATACTC
-Pan                 CTGATCAAATACCACTCTCCTACTCACAGGATTCAACATACTAATCACAGCCCTGTACTC
-Gorilla             CTGATCAAACACCACCCTTTTACTTACAGGATCTAACATACTAATTACAGCCCTGTACTC
-Pongo               TTGATCTAACATCACCATCCTACTAACAGGACTCAACATACTAATCACAACCCTATACTC
-Hylobates           CTGGGCAAACACTACTATTACACTCACCGGGCTCAACGTACTAATCACGGCCCTATACTC
-Macaca_fuscata      CTGATCCCATATCACCATTATGCTAACAGGACTTAACATATTAATTACGGCCCTCTACTC
-Macaca_mulatta      CTGGTCCCATATCACCATTATATTAACAGGATTTAACATACTAATTACGGCCCTCTACTC
-Macaca_fascicularis CTGATCCCATATCACCATTGTGTTAACGGGCCTTAATATACTAATCACAGCCCTCTACTC
-Macaca_sylvanus     CTGATCCCACATCACCATCATACTAACAGGACTGAACATACTAATTACAGCCCTCTACTC
-Saimiri_sciureus    TTGATCCAACTTTACTATTATATTCACAGGACTTAATATACTAATTACAGCACTCTACTC
-Tarsius_syrichta    ATGGTCACACCTAACTATTATCTTAGTAGGCCTTAACACCCTTATCACCGCCCTATATTC
-
-Lemur_catta         CCTCTATATATTAACTACTACACAACGAGGAAAACTCACATATCATTCGCACAACCTAAA
-Homo_sapiens        CCTCTACATATTTACCACAACACAATGGGGCTCACTCACCCACCACATTAACAACATAAA
-Pan                 CCTCTACATGTTTACCACAACACAATGAGGCTCACTCACCCACCACATTAATAACATAAA
-Gorilla             CCTTTATATATTTACCACAACACAATGAGGCCCACTCACACACCACATCACCAACATAAA
-Pongo               TCTCTATATATTCACCACAACACAACGAGGTACACCCACACACCACATCAACAACATAAA
-Hylobates           CCTTTACATATTTATCATAACACAACGAGGCACACTTACACACCACATTAAAAACATAAA
-Macaca_fuscata      TCTCCACATATTCACTACAACACAACGAGGAACACTCACACATCACATAATCAACATAAA
-Macaca_mulatta      CCTCCACATATTCACCACAACACAACGAGGAGCACTCACACATCACATAATCAACATAAA
-Macaca_fascicularis TCTCCACATGTTCATTACAGTACAACGAGGAACACTCACACACCACATAATCAATATAAA
-Macaca_sylvanus     TCTTCACATATTCACCACAACACAACGAGGAGCGCTCACACACCACATAATTAACATAAA
-Saimiri_sciureus    ACTTCATATGTATGCCTCTACACAGCGAGGTCCACTTACATACAGCACCAGCAATATAAA
-Tarsius_syrichta    CCTATATATACTAATCATAACTCAACGAGGAAAATACACATATCATATCAACAATATCAT
-
-Lemur_catta         CCCATCCTTTACACGAGAAAACACCCTTATATCCATACACATACTCCCCCTTCTCCTATT
-Homo_sapiens        ACCCTCATTCACACGAGAAAACACCCTCATGTTCATACACCTATCCCCCATTCTCCTCCT
-Pan                 GCCCTCATTCACACGAGAAAATACTCTCATATTTTTACACCTATCCCCCATCCTCCTTCT
-Gorilla             ACCCTCATTTACACGAGAAAACATCCTCATATTCATGCACCTATCCCCCATCCTCCTCCT
-Pongo               ACCTTCTTTCACACGCGAAAATACCCTCATGCTCATACACCTATCCCCCATCCTCCTCTT
-Hylobates           ACCCTCACTCACACGAGAAAACATATTAATACTTATGCACCTCTTCCCCCTCCTCCTCCT
-Macaca_fuscata      GCCCCCCTTCACACGAGAAAACACATTAATATTCATACACCTCGCTCCAATTATCCTTCT
-Macaca_mulatta      ACCCCCCTTCACACGAGAAAACATATTAATATTCATACACCTCGCTCCAATCATCCTCCT
-Macaca_fascicularis ACCCCCCTTCACACGAGAAAACATATTAATATTCATACACCTCGCTCCAATTATCCTTCT
-Macaca_sylvanus     ACCACCTTTCACACGAGAAAACATATTAATACTCATACACCTCGCTCCAATTATTCTTCT
-Saimiri_sciureus    ACCAATATTTACACGAGAAAATACGCTAATATTTATACATATAACACCAATCCTCCTCCT
-Tarsius_syrichta    GCCCCCTTTCACCCGAGAAAATACATTAATAATCATACACCTATTTCCCTTAATCCTACT
-
-Lemur_catta         TACCTTAAACCCCAAAATTATTCTAGGACCCACGTACTGTAAATATAGTTTAAA-AAAAC
-Homo_sapiens        ATCCCTCAACCCCGACATCATTACCGGGTTTTCCTCTTGTAAATATAGTTTAACCAAAAC
-Pan                 ATCCCTCAATCCTGATATCATCACTGGATTCACCTCCTGTAAATATAGTTTAACCAAAAC
-Gorilla             ATCCCTCAACCCCGATATTATCACCGGGTTCACCTCCTGTAAATATAGTTTAACCAAAAC
-Pongo               ATCCCTCAACCCCAGCATCATCGCTGGGTTCGCCTACTGTAAATATAGTTTAACCAAAAC
-Hylobates           AACCCTCAACCCTAACATCATTACTGGCTTTACTCCCTGTAAACATAGTTTAATCAAAAC
-Macaca_fuscata      ATCCCTCAACCCCAACATCATCCTGGGGTTTACCTCCTGTAGATATAGTTTAACTAAAAC
-Macaca_mulatta      ATCTCTCAACCCCAACATCATCCTGGGGTTTACTTCCTGTAGATATAGTTTAACTAAAAC
-Macaca_fascicularis ATCTCTCAACCCCAACATCATCCTGGGGTTTACCTCCTGTAAATATAGTTTAACTAAAAC
-Macaca_sylvanus     ATCTCTTAACCCCAACATCATTCTAGGATTTACTTCCTGTAAATATAGTTTAATTAAAAC
-Saimiri_sciureus    TACCTTGAGCCCCAAGGTAATTATAGGACCCTCACCTTGTAATTATAGTTTAGCTAAAAC
-Tarsius_syrichta    ATCTACCAACCCCAAAGTAATTATAGGAACCATGTACTGTAAATATAGTTTAAACAAAAC
-
-Lemur_catta         ACTAGATTGTGAATCCAGAAATAGAAGCTCAAAC-CTTCTTATTTACCGAGAAAGTAATG
-Homo_sapiens        ATCAGATTGTGAATCTGACAACAGAGGCTTA-CGACCCCTTATTTACCGAGAAAGCT-CA
-Pan                 ATCAGATTGTGAATCTGACAACAGAGGCTCA-CGACCCCTTATTTACCGAGAAAGCT-TA
-Gorilla             ATCAGATTGTGAATCTGATAACAGAGGCTCA-CAACCCCTTATTTACCGAGAAAGCT-CG
-Pongo               ATTAGATTGTGAATCTAATAATAGGGCCCCA-CAACCCCTTATTTACCGAGAAAGCT-CA
-Hylobates           ATTAGATTGTGAATCTAACAATAGAGGCTCG-AAACCTCTTGCTTACCGAGAAAGCC-CA
-Macaca_fuscata      ACTAGATTGTGAATCTAACCATAGAGACTCA-CCACCTCTTATTTACCGAGAAAACT-CG
-Macaca_mulatta      ATTAGATTGTGAATCTAACCATAGAGACTTA-CCACCTCTTATTTACCGAGAAAACT-CG
-Macaca_fascicularis ATTAGATTGTGAATCTAACTATAGAGGCCTA-CCACTTCTTATTTACCGAGAAAACT-CG
-Macaca_sylvanus     ATTAGACTGTGAATCTAACTATAGAAGCTTA-CCACTTCTTATTTACCGAGAAAACT-TG
-Saimiri_sciureus    ATTAGATTGTGAATCTAATAATAGAAGAATA-TAACTTCTTAATTACCGAGAAAGTG-CG
-Tarsius_syrichta    ATTAGATTGTGAGTCTAATAATAGAAGCCCAAAGATTTCTTATTTACCAAGAAAGTA-TG
-
-Lemur_catta         TATGAACTGCTAACTCTGCACTCCGTATATAAAAATACGGCTATCTCAACTTTTAAAGGA
-Homo_sapiens        CAAGAACTGCTAACTCATGCCCCCATGTCTAACAACATGGCTTTCTCAACTTTTAAAGGA
-Pan                 TAAGAACTGCTAATTCATATCCCCATGCCTGACAACATGGCTTTCTCAACTTTTAAAGGA
-Gorilla             TAAGAGCTGCTAACTCATACCCCCGTGCTTGACAACATGGCTTTCTCAACTTTTAAAGGA
-Pongo               CAAGAACTGCTAACTCTCACT-CCATGTGTGACAACATGGCTTTCTCAGCTTTTAAAGGA
-Hylobates           CAAGAACTGCTAACTCACTATCCCATGTATGACAACATGGCTTTCTCAACTTTTAAAGGA
-Macaca_fuscata      CAAGGACTGCTAACCCATGTACCCGTACCTAAAATTACGGTTTTCTCAACTTTTAAAGGA
-Macaca_mulatta      CGAGGACTGCTAACCCATGTATCCGTACCTAAAATTACGGTTTTCTCAACTTTTAAAGGA
-Macaca_fascicularis CAAGGACTGCTAATCCATGCCTCCGTACTTAAAACTACGGTTTCCTCAACTTTTAAAGGA
-Macaca_sylvanus     CAAGGACCGCTAATCCACACCTCCGTACTTAAAACTACGGTTTTCTCAACTTTTAAAGGA
-Saimiri_sciureus    CAAGAACTGCTAATTCATGCTCCCAAGACTAACAACTTGGCTTCCTCAACTTTTAAAGGA
-Tarsius_syrichta    CAAGAACTGCTAACTCATGCCTCCATATATAACAATGTGGCTTTCTT-ACTTTTAAAGGA
-
-Lemur_catta         TAGAAGTAATCCATTGGCCTTAGGAGCCAAAAA-ATTGGTGCAACTCCAAATAAAAGTAA
-Homo_sapiens        TAACAGCTATCCATTGGTCTTAGGCCCCAAAAATTTTGGTGCAACTCCAAATAAAAGTAA
-Pan                 TAACAGCCATCCGTTGGTCTTAGGCCCCAAAAATTTTGGTGCAACTCCAAATAAAAGTAA
-Gorilla             TAACAGCTATCCATTGGTCTTAGGACCCAAAAATTTTGGTGCAACTCCAAATAAAAGTAA
-Pongo               TAACAGCTATCCCTTGGTCTTAGGATCCAAAAATTTTGGTGCAACTCCAAATAAAAGTAA
-Hylobates           TAACAGCTATCCATTGGTCTTAGGACCCAAAAATTTTGGTGCAACTCCAAATAAAAGTAA
-Macaca_fuscata      TAACAGCTATCCATTGACCTTAGGAGTCAAAAACATTGGTGCAACTCCAAATAAAAGTAA
-Macaca_mulatta      TAACAGCTATCCATTGACCTTAGGAGTCAAAAATATTGGTGCAACTCCAAATAAAAGTAA
-Macaca_fascicularis TAACAGCTATCCATTGACCTTAGGAGTCAAAAACATTGGTGCAACTCCAAATAAAAGTAA
-Macaca_sylvanus     TAACAGCTATCCATTGGCCTTAGGAGTCAAAAATATTGGTGCAACTCCAAATAAAAGTAA
-Saimiri_sciureus    TAGTAGTTATCCATTGGTCTTAGGAGCCAAAAACATTGGTGCAACTCCAAATAAAAGTAA
-Tarsius_syrichta    TAGAAGTAATCCATCGGTCTTAGGAACCGAAAA-ATTGGTGCAACTCCAAATAAAAGTAA
-
-Lemur_catta         TAAATCTATTATCCTCTTTCACCCTTGTCACACTGATTATCCTAACTTTACCTATCATTA
-Homo_sapiens        TAACCATGCACACTACTATAACCACCCTAACCCTGACTTCCCTAATTCCCCCCATCCTTA
-Pan                 TAACCATGTATACTACCATAACCACCTTAACCCTAACTCCCTTAATTCTCCCCATCCTCA
-Gorilla             TAACTATGTACGCTACCATAACCACCTTAGCCCTAACTTCCTTAATTCCCCCTATCCTTA
-Pongo               CAGCCATGTTTACCACCATAACTGCCCTCACCTTAACTTCCCTAATCCCCCCCATTACCG
-Hylobates           TAGCAATGTACACCACCATAGCCATTCTAACGCTAACCTCCCTAATTCCCCCCATTACAG
-Macaca_fuscata      TAATCATGCACACCCCCATCATTATAACAACCCTTATCTCCCTAACTCTCCCAATTTTTG
-Macaca_mulatta      TAATCATGCACACCCCTATCATAATAACAACCCTTATCTCCCTAACTCTCCCAATTTTTG
-Macaca_fascicularis TAATCATGCACACCCCCATCATAATAACAACCCTCATCTCCCTGACCCTTCCAATTTTTG
-Macaca_sylvanus     TAATCATGTATACCCCCATCATAATAACAACTCTCATCTCCCTAACTCTTCCAATTTTCG
-Saimiri_sciureus    TA---ATACACTTCTCCATCACTCTAATAACACTAATTAGCCTACTAGCGCCAATCCTAG
-Tarsius_syrichta    TAAATTTATTTTCATCCTCCATTTTACTATCACTTACACTCTTAATTACCCCATTTATTA
-
-Lemur_catta         TAAACGTTACAAACATATACAAAAACTACCCCTATGCACCATACGTAAAATCTTCTATTG
-Homo_sapiens        CCACCCTCGTTAACCCTAACAAAAAAAACTCATACCCCCATTATGTAAAATCCATTGTCG
-Pan                 CCACCCTCATTAACCCTAACAAAAAAAACTCATATCCCCATTATGTGAAATCCATTATCG
-Gorilla             CCACCTTCATCAATCCTAACAAAAAAAGCTCATACCCCCATTACGTAAAATCTATCGTCG
-Pongo               CTACCCTCATTAACCCCAACAAAAAAAACCCATACCCCCACTATGTAAAAACGGCCATCG
-Hylobates           CCACCCTTATTAACCCCAATAAAAAGAACTTATACCCGCACTACGTAAAAATGACCATTG
-Macaca_fuscata      CCACCCTCATCAACCCTTACAAAAAACGTCCATACCCAGATTACGTAAAAACAACCGTAA
-Macaca_mulatta      CCACCCTCATCAACCCTTACAAAAAACGTCCATACCCAGATTACGTAAAAACAACCGTAA
-Macaca_fascicularis CCACCCTCACCAACCCCTATAAAAAACGTTCATACCCAGACTACGTAAAAACAACCGTAA
-Macaca_sylvanus     CTACCCTTATCAACCCCAACAAAAAACACCTATATCCAAACTACGTAAAAACAGCCGTAA
-Saimiri_sciureus    CTACCCTCATTAACCCTAACAAAAGCACACTATACCCGTACTACGTAAAACTAGCCATCA
-Tarsius_syrichta    TTACAACAACTAAAAAATATGAAACACATGCATACCCTTACTACGTAAAAAACTCTATCG
-
-Lemur_catta         CATGTGCCTTCATCACTAGCCTCATCCCAACTATATTATTTATCTCCTCAGGACAAGAAA
-Homo_sapiens        CATCCACCTTTATTATCAGTCTCTTCCCCACAACAATATTCATGTGCCTAGACCAAGAAG
-Pan                 CGTCCACCTTTATCATTAGCCTTTTCCCCACAACAATATTCATATGCCTAGACCAAGAAG
-Gorilla             CATCCACCTTTATCATCAGCCTCTTCCCCACAACAATATTTCTATGCCTAGACCAAGAAG
-Pongo               CATCCGCCTTTACTATCAGCCTTATCCCAACAACAATATTTATCTGCCTAGGACAAGAAA
-Hylobates           CCTCTACCTTTATAATCAGCCTATTTCCCACAATAATATTCATGTGCACAGACCAAGAAA
-Macaca_fuscata      TATATGCTTTCATCATCAGCCTCCCCTCAACAACTTTATTCATCTTCTCAAACCAAGAAA
-Macaca_mulatta      TATATGCTTTCATCATCAGCCTCCCCTCAACAACTTTATTCATCTTCTCAAACCAAGAAA
-Macaca_fascicularis TATATGCTTTTATTACCAGTCTCCCCTCAACAACCCTATTCATCCTCTCAAACCAAGAAA
-Macaca_sylvanus     TATATGCTTTCATTACCAGCCTCTCTTCAACAACTTTATATATATTCTTAAACCAAGAAA
-Saimiri_sciureus    TCTACGCCCTCATTACCAGTACCTTATCTATAATATTCTTTATCCTTACAGGCCAAGAAT
-Tarsius_syrichta    CCTGCGCATTTATAACAAGCCTAGTCCCAATGCTCATATTTCTATACACAAATCAAGAAA
-
-Lemur_catta         CAATCATTTCCAACTGACATTGAATAACAATCCAAACCCTAAAACTATCTATTAGCTT
-Homo_sapiens        TTATTATCTCGAACTGACACTGAGCCACAACCCAAACAACCCAGCTCTCCCTAAGCTT
-Pan                 CTATTATCTCAAACTGGCACTGAGCAACAACCCAAACAACCCAGCTCTCCCTAAGCTT
-Gorilla             CTATTATCTCAAGCTGACACTGAGCAACAACCCAAACAATTCAACTCTCCCTAAGCTT
-Pongo               CCATCGTCACAAACTGATGCTGAACAACCACCCAGACACTACAACTCTCACTAAGCTT
-Hylobates           CCATTATTTCAAACTGACACTGAACTGCAACCCAAACGCTAGAACTCTCCCTAAGCTT
-Macaca_fuscata      CAACCATTTGGAGCTGACATTGAATAATGACCCAAACACTAGACCTAACGCTAAGCTT
-Macaca_mulatta      CAACCATTTGAAGCTGACATTGAATAATAACCCAAACACTAGACCTAACACTAAGCTT
-Macaca_fascicularis CAACCATTTGGAGTTGACATTGAATAACAACCCAAACATTAGACCTAACACTAAGCTT
-Macaca_sylvanus     CAATCATCTGAAGCTGGCACTGAATAATAACCCAAACACTAAGCCTAACATTAAGCTT
-Saimiri_sciureus    CAATAATTTCAAACTGACACTGAATAACTATCCAAACCATCAAACTATCCCTAAGCTT
-Tarsius_syrichta    TAATCATTTCCAACTGACATTGAATAACGATTCATACTATCAAATTATGCCTAAGCTT
-	;
-End;
diff --git a/doc/source/examples/primates.chars.simple.nexus b/doc/source/examples/primates.chars.simple.nexus
deleted file mode 100644
index 668762b..0000000
--- a/doc/source/examples/primates.chars.simple.nexus
+++ /dev/null
@@ -1,27 +0,0 @@
-#NEXUS 
-
-[Modified from example data distributed with PAUP* 4.01b.
- Original Data from:
-	Hayasaka, K., T. Gojobori, and S. Horai. 1988. Molecular phylogeny
-		and evolution of primate mitochondrial DNA. Mol. Biol. Evol.
-		5:626-644.
-]
-
-BEGIN DATA;
-	DIMENSIONS NTAX=12 NCHAR=898;
-	FORMAT DATATYPE=DNA GAP=-;
-	MATRIX
-Lemur_catta      AAGCTTCATAGGAGCAACCATTCTAATAATCGCACATGGCCTTACATCATCCATATTATTCTGTCTAGCCAACTCTAACTACGAACGAATCCATAGCCGTACAATACTACTAGCACGAGGGATCCAAACCATTCTCCCTCTTATAGCCACCTGATGACTACTCGCCAGCCTAACTAACCTAGCCCTACCCACCTCTATCAATTTAATTGGCGAACTATTCGTCACTATAGCATCCTTCTCATGATCAAACATTACAATTATCTTAATAGGCTTAAATATGCTCATCACCGCTCTCTATTCCCTCTATATATTAACTACTACACAACGAGGAAAACTCACATATCATTCGCACAACCTAAACCCATCCTTTACACGAGAAAACACCCTTATATCCATACACATACTCCCCCTTCTCCTATTTACCTTAAACCCCAAAATTATTCTAGGACCCACGTACTGTAAATATAGTTTAAA- [...]
-Homo_sapiens     AAGCTTCACCGGCGCAGTCATTCTCATAATCGCCCACGGGCTTACATCCTCATTACTATTCTGCCTAGCAAACTCAAACTACGAACGCACTCACAGTCGCATCATAATCCTCTCTCAAGGACTTCAAACTCTACTCCCACTAATAGCTTTTTGATGACTTCTAGCAAGCCTCGCTAACCTCGCCTTACCCCCCACTATTAACCTACTGGGAGAACTCTCTGTGCTAGTAACCACGTTCTCCTGATCAAATATCACTCTCCTACTTACAGGACTCAACATACTAGTCACAGCCCTATACTCCCTCTACATATTTACCACAACACAATGGGGCTCACTCACCCACCACATTAACAACATAAAACCCTCATTCACACGAGAAAACACCCTCATGTTCATACACCTATCCCCCATTCTCCTCCTATCCCTCAACCCCGACATCATTACCGGGTTTTCCTCTTGTAAATATAGTTTAACC [...]
-Pan              AAGCTTCACCGGCGCAATTATCCTCATAATCGCCCACGGACTTACATCCTCATTATTATTCTGCCTAGCAAACTCAAATTATGAACGCACCCACAGTCGCATCATAATTCTCTCCCAAGGACTTCAAACTCTACTCCCACTAATAGCCTTTTGATGACTCCTAGCAAGCCTCGCTAACCTCGCCCTACCCCCTACCATTAATCTCCTAGGGGAACTCTCCGTGCTAGTAACCTCATTCTCCTGATCAAATACCACTCTCCTACTCACAGGATTCAACATACTAATCACAGCCCTGTACTCCCTCTACATGTTTACCACAACACAATGAGGCTCACTCACCCACCACATTAATAACATAAAGCCCTCATTCACACGAGAAAATACTCTCATATTTTTACACCTATCCCCCATCCTCCTTCTATCCCTCAATCCTGATATCATCACTGGATTCACCTCCTGTAAATATAGTTTAACC [...]
-Gorilla          AAGCTTCACCGGCGCAGTTGTTCTTATAATTGCCCACGGACTTACATCATCATTATTATTCTGCCTAGCAAACTCAAACTACGAACGAACCCACAGCCGCATCATAATTCTCTCTCAAGGACTCCAAACCCTACTCCCACTAATAGCCCTTTGATGACTTCTGGCAAGCCTCGCCAACCTCGCCTTACCCCCCACCATTAACCTACTAGGAGAGCTCTCCGTACTAGTAACCACATTCTCCTGATCAAACACCACCCTTTTACTTACAGGATCTAACATACTAATTACAGCCCTGTACTCCCTTTATATATTTACCACAACACAATGAGGCCCACTCACACACCACATCACCAACATAAAACCCTCATTTACACGAGAAAACATCCTCATATTCATGCACCTATCCCCCATCCTCCTCCTATCCCTCAACCCCGATATTATCACCGGGTTCACCTCCTGTAAATATAGTTTAACC [...]
-Pongo            AAGCTTCACCGGCGCAACCACCCTCATGATTGCCCATGGACTCACATCCTCCCTACTGTTCTGCCTAGCAAACTCAAACTACGAACGAACCCACAGCCGCATCATAATCCTCTCTCAAGGCCTTCAAACTCTACTCCCCCTAATAGCCCTCTGATGACTTCTAGCAAGCCTCACTAACCTTGCCCTACCACCCACCATCAACCTTCTAGGAGAACTCTCCGTACTAATAGCCATATTCTCTTGATCTAACATCACCATCCTACTAACAGGACTCAACATACTAATCACAACCCTATACTCTCTCTATATATTCACCACAACACAACGAGGTACACCCACACACCACATCAACAACATAAAACCTTCTTTCACACGCGAAAATACCCTCATGCTCATACACCTATCCCCCATCCTCCTCTTATCCCTCAACCCCAGCATCATCGCTGGGTTCGCCTACTGTAAATATAGTTTAACC [...]
-Hylobates        AAGCTTTACAGGTGCAACCGTCCTCATAATCGCCCACGGACTAACCTCTTCCCTGCTATTCTGCCTTGCAAACTCAAACTACGAACGAACTCACAGCCGCATCATAATCCTATCTCGAGGGCTCCAAGCCTTACTCCCACTGATAGCCTTCTGATGACTCGCAGCAAGCCTCGCTAACCTCGCCCTACCCCCCACTATTAACCTCCTAGGTGAACTCTTCGTACTAATGGCCTCCTTCTCCTGGGCAAACACTACTATTACACTCACCGGGCTCAACGTACTAATCACGGCCCTATACTCCCTTTACATATTTATCATAACACAACGAGGCACACTTACACACCACATTAAAAACATAAAACCCTCACTCACACGAGAAAACATATTAATACTTATGCACCTCTTCCCCCTCCTCCTCCTAACCCTCAACCCTAACATCATTACTGGCTTTACTCCCTGTAAACATAGTTTAATC [...]
-Macaca_fuscata   AAGCTTTTCCGGCGCAACCATCCTTATGATCGCTCACGGACTCACCTCTTCCATATATTTCTGCCTAGCCAATTCAAACTATGAACGCACTCACAACCGTACCATACTACTGTCCCGAGGACTTCAAATCCTACTTCCACTAACAGCCTTTTGATGATTAACAGCAAGCCTTACTAACCTTGCCCTACCCCCCACTATCAATCTACTAGGTGAACTCTTTGTAATCGCAACCTCATTCTCCTGATCCCATATCACCATTATGCTAACAGGACTTAACATATTAATTACGGCCCTCTACTCTCTCCACATATTCACTACAACACAACGAGGAACACTCACACATCACATAATCAACATAAAGCCCCCCTTCACACGAGAAAACACATTAATATTCATACACCTCGCTCCAATTATCCTTCTATCCCTCAACCCCAACATCATCCTGGGGTTTACCTCCTGTAGATATAGTTTAACT [...]
-Macaca_mulatta       AAGCTTTTCTGGCGCAACCATCCTCATGATTGCTCACGGACTCACCTCTTCCATATATTTCTGCCTAGCCAATTCAAACTATGAACGCACTCACAACCGTACCATACTACTGTCCCGGGGACTTCAAATCCTACTTCCACTAACAGCTTTCTGATGATTAACAGCAAGCCTTACTAACCTTGCCCTACCCCCCACTATCAACCTACTAGGTGAACTCTTTGTAATCGCGACCTCATTCTCCTGGTCCCATATCACCATTATATTAACAGGATTTAACATACTAATTACGGCCCTCTACTCCCTCCACATATTCACCACAACACAACGAGGAGCACTCACACATCACATAATCAACATAAAACCCCCCTTCACACGAGAAAACATATTAATATTCATACACCTCGCTCCAATCATCCTCCTATCTCTCAACCCCAACATCATCCTGGGGTTTACTTCCTGTAGATATAGTTT [...]
-Macaca_fascicularis  AAGCTTCTCCGGCGCAACCACCCTTATAATCGCCCACGGGCTCACCTCTTCCATGTATTTCTGCTTGGCCAATTCAAACTATGAGCGCACTCATAACCGTACCATACTACTATCCCGAGGACTTCAAATTCTACTTCCATTGACAGCCTTCTGATGACTCACAGCAAGCCTTACTAACCTTGCCCTACCCCCCACTATTAATCTACTAGGCGAACTCTTTGTAATCACAACTTCATTTTCCTGATCCCATATCACCATTGTGTTAACGGGCCTTAATATACTAATCACAGCCCTCTACTCTCTCCACATGTTCATTACAGTACAACGAGGAACACTCACACACCACATAATCAATATAAAACCCCCCTTCACACGAGAAAACATATTAATATTCATACACCTCGCTCCAATTATCCTTCTATCTCTCAACCCCAACATCATCCTGGGGTTTACCTCCTGTAAATATAGTTT [...]
-Macaca_sylvanus      AAGCTTCTCCGGTGCAACTATCCTTATAGTTGCCCATGGACTCACCTCTTCCATATACTTCTGCTTGGCCAACTCAAACTACGAACGCACCCACAGCCGCATCATACTACTATCCCGAGGACTCCAAATCCTACTCCCACTAACAGCCTTCTGATGATTCACAGCAAGCCTTACTAATCTTGCTCTACCCTCCACTATTAATCTACTGGGCGAACTCTTCGTAATCGCAACCTCATTTTCCTGATCCCACATCACCATCATACTAACAGGACTGAACATACTAATTACAGCCCTCTACTCTCTTCACATATTCACCACAACACAACGAGGAGCGCTCACACACCACATAATTAACATAAAACCACCTTTCACACGAGAAAACATATTAATACTCATACACCTCGCTCCAATTATTCTTCTATCTCTTAACCCCAACATCATTCTAGGATTTACTTCCTGTAAATATAGTTT [...]
-Saimiri_sciureus AAGCTTCACCGGCGCAATGATCCTAATAATCGCTCACGGGTTTACTTCGTCTATGCTATTCTGCCTAGCAAACTCAAATTACGAACGAATTCACAGCCGAACAATAACATTTACTCGAGGGCTCCAAACACTATTCCCGCTTATAGGCCTCTGATGACTCCTAGCAAATCTCGCTAACCTCGCCCTACCCACAGCTATTAATCTAGTAGGAGAATTACTCACAATCGTATCTTCCTTCTCTTGATCCAACTTTACTATTATATTCACAGGACTTAATATACTAATTACAGCACTCTACTCACTTCATATGTATGCCTCTACACAGCGAGGTCCACTTACATACAGCACCAGCAATATAAAACCAATATTTACACGAGAAAATACGCTAATATTTATACATATAACACCAATCCTCCTCCTTACCTTGAGCCCCAAGGTAATTATAGGACCCTCACCTTGTAATTATAGTTTAGCT [...]
-Tarsius_syrichta AAGTTTCATTGGAGCCACCACTCTTATAATTGCCCATGGCCTCACCTCCTCCCTATTATTTTGCCTAGCAAATACAAACTACGAACGAGTCCACAGTCGAACAATAGCACTAGCCCGTGGCCTTCAAACCCTATTACCTCTTGCAGCAACATGATGACTCCTCGCCAGCTTAACCAACCTGGCCCTTCCCCCAACAATTAATTTAATCGGTGAACTGTCCGTAATAATAGCAGCATTTTCATGGTCACACCTAACTATTATCTTAGTAGGCCTTAACACCCTTATCACCGCCCTATATTCCCTATATATACTAATCATAACTCAACGAGGAAAATACACATATCATATCAACAATATCATGCCCCCTTTCACCCGAGAAAATACATTAATAATCATACACCTATTTCCCTTAATCCTACTATCTACCAACCCCAAAGTAATTATAGGAACCATGTACTGTAAATATAGTTTAAAC [...]
-	;
-END;
diff --git a/doc/source/examples/primates.chars.subsets-1stpos.nexus b/doc/source/examples/primates.chars.subsets-1stpos.nexus
deleted file mode 100644
index 7b3e247..0000000
--- a/doc/source/examples/primates.chars.subsets-1stpos.nexus
+++ /dev/null
@@ -1,20 +0,0 @@
-#NEXUS 
-
-Begin data;
-	Dimensions ntax=12 nchar=231;
-	Format datatype=dna gap=-;
-	Matrix
-Lemur_catta         ATAGGAACAAGCGCATTATTTCGATATGCACACAACCGCGACAACCCAGATTCCGACAACGCCATAATAGGCTGAAGTTTTTAAAAATAGTAACAAGCTTCTATAAACCGACATCTCACACTTACGAACATACACCCCCTATACAAACGCATAACTTTTACGACAACATCAAAAGAAATAATCTGCTGATTAGTGTAAACACAATTATTGCGAAATATCTAAACACACTAA
-Homo_sapiens        ATAGGGACAAGCGCATTTCTTCGATATGCACACAAACTCGCCACCCCAGTTTCCGACGACGTCCAAACCGGCTGCGAATTTTAAACCCAGCAACGAGCTTCTATAAACTGTCACCAAAAACTTACGAACATACCTCACCCTCACGAAAGTTTAAACAAAAACACATCACCACAACGACAAAATTCCTGATAGGTATAAACTCAAATATCGCGGAATATCTGAACAACCTCA
-Pan                 ATAGGAACAAGCGCATTTTTTCGATATGCACACAAACTCGCCACCCCAGTTTCCGACGACGCCCAAACCGGCTGCGATTTTTAAACCCAGTAACAAGCTTCTATAAACTGTCACCAAAAACTTACGAACATTCCTCACCCTCACGAAAGTATAAATAAAAATACACTACCACAACAACAAAATTCCTGATAAGTATAAACTCAAATATCGCGGAATATCTGAACAACCTCA
-Gorilla             ATAGGGGCAAGCGCATTTTTTCGATATGCACACAAACTCGCCACCCCAGCTTCCGACGACGTCCAAACCGGCTGCGAATTTTAAACTCAGTAACAAGCTTCTATAAACTGCCACCAAAAACTTACGAACATACCTCACCCTCACGAAAGTATAAATGAAAATGCATTACCACAATAACAAAATTCCTGATAGGTATAAACTCAAATCTCGCGGAATATCTGAACAACCTCA
-Pongo               ATAGGAACAAGCGCATTCCTTCGATATGCACACAAACTCGCCACCCCAGCTTCCGACAACGCCCAAACCGGCTGCAGATTTTAAAACCAGCAACAAACTTCTATAAACCGACACCAAAAACTTACGAACACACCTCACCTTCACAAAGGTGTAGATAAAAGCATATCACCAAGACAACAAAACTCCTGAAGAGTGTAAACACAAATATCGCGAAGAATTTAAACACCCTCA
-Hylobates           ATAGGAGCAAGCGCATTCCTTCGATATGCACACAAACTCGCCGTCCCAGTTTCGGACGACGCCCAAACCGGCTGCAGTTTTGAAAAACAGCAGCAAGCTTCTATAAACCGACACCAAAAACTCACGAATACACCTCCCCCACACAAAAGTACAGATAAAGACACATCACCAAGACAACAAAATTCCTGAAAAGTATAAACTCAAATATAGCGAAATATCTAGACACGCTCA
-Macaca_fuscata      ATTGGAACAAGCGCATTATTTCGATATGCACACAACCTCGCCACCCCAGTTTTAGACAACGCCCAAACCGGCTGAGATTTTTCAAAACAGCAATAAGCTTCCATAAACCGACACCAAAAACCTACGAATATACCGCAACCTCACAAACGTATAAACACAAAAACATCACCATGACAACTAACCTCGTGAAAGATGTAAACCTAATTATTACGAAATATCTAAACACGCACA
-Macaca_mulatta      ATTGGAACAAGCGCATTATTTCGATATGCACACAACCTCGCCACCCCAGTTTTAGACAACGCCCAAACCGGCTGAGATTTTTCAAAATAGTAACAAGCTTCCATAAACCGGCACCAAAAACCTACGAATATACCGCAACCTCACAAACGTATAAACACAAAAACATCACCATGACAACTAACCTCGTGAAAGATGTAAACCTAATTATTACGAAATATCTAAACACGCACA
-Macaca_fascicularis ATTGGAACAAGCGCATTATTTTGATATGCACACAACCTCGCCACCCTAGTTTCAGACAACGCCCAAACCGGCTGAAATTTTTCAAAGTAGCAACAAGCTTCCATAAGCCGACACCAAAAACCTACGAATATACCGCAACCTCACAAACGTATAAACACAAAAACATCACCATGACAACTAACTTCGTGAAAGATGTAAACCTAACTACTACGAAATATCTAAACATGCACA
-Macaca_sylvanus     ATTGGAACAGGCGCATTATTTTGATATGCACACAACCTCGCCACCCCAGTTTTAGACAACGCCTAAACCGGCTGAGATTTTTCAAAACAGCAACAAGCTTCCATAAACCGGCACCAAAAACCTACGAATACACCGCAACCTCACAAACGTATAAATACAAAAACATCACCATGACAACAAACCTCATGAAGGATGTAAACTTAATTATTACGAAATATCTAAACACACATA
-Saimiri_sciureus    ATAGGAACAAGCGTATTACTTCGATATGCACACAAATACGCCACTCCAGCTTCCGACGACGCCAGAACGGGTCAAGTTTTTTATAAATAGCAACAAGCTTCCATGTACCGCCATAAAAAACATACGAACATACAACACCCATACAGAAGCTCA-ACTTAACAACAACCGCACGACAACAAAACTCTTGACGAATGCAAAATTAATTACAGCGTAATATCTAAACAAACTCA
-Tarsius_syrichta    ATAGGAACAAGCGCATTCTTTCGAAATGCGCACAAGCGCGCCACTCCGGATTCCGATAACGCCCAAATAGGCTGAAGGTTTTCCAAATGGCAACAAGCTTCTACAAACCGATATCAAAAACCTACGAATAAACCTCTACCTAACAGAAGAATAATTTTTATCTCACTAACTAAAAAAATGACGTCTTGAATAGTGTAAACGCACATCTAACGAAATATCTAAACAAATTCA
-	;
-End;
diff --git a/doc/source/examples/primates.chars.subsets-2ndpos.nexus b/doc/source/examples/primates.chars.subsets-2ndpos.nexus
deleted file mode 100644
index c173d81..0000000
--- a/doc/source/examples/primates.chars.subsets-2ndpos.nexus
+++ /dev/null
@@ -1,20 +0,0 @@
-#NEXUS 
-
-Begin data;
-	Dimensions ntax=12 nchar=231;
-	Format datatype=dna gap=-;
-	Matrix
-Lemur_catta         GTTGCCTTTTCAGTCCCTTTGTCACAAAGTAGGCTTTCGGTACTTCTTCCGGTTCGTCATCTCCCTATTGATTTCTCCTCGCATCTTTTGTATTTCCTACTATTCCCAGGATCAACAATACCTCGAACTTCTATTCTTTTCTACATTTGCCATATTCCTCTTCTTTTCTCTTTATCATAAAACACCATACCTCGCTTCGTTCCTTTTCCGAACTTCAGAGTCTACTATCTG
-Homo_sapiens        GTCGCTTTTTCAGTCCCTTTGTCACAAAGCAGGTTTTCAGTACTTCTTCTGGTTCGTCATCTCCCTATTGATCTTTCCTCGCATCTTTCGTATTTCCTACTATTCCCAGGCTCAATAATACCTCGAACTTTTATCCTTTTCTACATTCGTCCTCTACCTCCTCTCCTTCCTTCCTTACAAAACACAATACTTCCCTTTGTTCCCTTTGTAAATTTCAGAGCCCACCATCTG
-Pan                 GTCGCTTTTTCAGTCCCTTTGTCACAAAGCAGGTTTTCAGTACTTCTTCTGGTTCGTCATCTCCCTATTGATCTTTCCTCGCACCTTTCGTATTTCCTACTATTCCCAGGCTCAATAATACCTCGAACTTTTATCCTTTTCTACATTCGTCCTCTACCTCCTCTCCTTTCTTCCTTACAAAACACAATACTTCCCTTTGTTCCCTTTGTAAACTTCAGAGCCCACCATCTG
-Gorilla             GTCGCTTTTTCAGTCCCTTTGTCACAAAGCAGGTTTTCAGTACTTCTTCTGGTTCGTCATCTCCCTATTGATCTTTCCTCGCACCTTTCGCATTTCCTACTATTCCCAGGCTCAATCATACCTCGAATTTTTATCCTTTTCTACATTCGTCCTCTACCTCCTCTCCTTCCTTCCTTACAAAGCACAATACTTCCCTTTGTTCCCTTTGTAAACTTCGGAGCCCACTATCTG
-Pongo               GTCGCCCTTTCAGTCCCTTTGTCACAAAGCAGGTTTTCAGTACTTCTTCTGGTTCGTCATCTCCCTATTGATCTTTCTTCGCATCTTTCGTATTTCCTACTATTCCCAGGCCCAATAATACCTCGAACTTTTATCCTTTTCTACGTTCGTCACCTTCCTCCTCTCCTTCCTCCCTTACAAAACACAATACCTCCCTCTGTTCCCTTTGTGAACTTCAGGGCCCACTATCTG
-Hylobates           GTCGCCTTTTCAGTCCCTTTGTCACAAAGCAGGTTTTCGGTACTTCTTCTGGTCCGTCATCTCCCTATTGATTTTTCCTCGCACCTCTCGTATTTCCTACTATTTTCAGGCTCAATAATACCTCGAATTTTTATTCTTTTCTACATTCGTCCTCTACCTCTTCTCCTTCCTCCCTTACAAAATACAATATCTCCCTTTGTTCCTTTTGCAAACTTCAGAGCCCACTATCTG
-Macaca_fuscata      GTCGCCTTTTCAGTCCCTATGTCACAAAGCAAGCTTTCGGTATTTCTCCTGGTCCGTCATCTCCCTATTGATTTTCCCTCGCATCTTTCGTATTTCCTACTATTCCCAGGCTCAATTATACCTCGAACTTTTATCCTTTTCTACATTTGTCCTTTACCTTTCCTTCTCTCTTCCTTACAAAGCACAATACCTTACTTTGTCCCCTTTTCAAACCTGGGAGTTCACTATCTG
-Macaca_mulatta      GTCGCCTTTTCAGTCCCTATGTCACAAAGCAAGCTTTCGGTATTTCTCCTGGTCCGTCATCTCCCTATTGATTTTCCCTCGCATCTTTCGTATTTCCTACTATTCCCAGGCTCAATTATACCTCGAATTTTTATCCTTTTCTACATTTGTCCTTTACCTTTCCTTCTCTCTTCCTTACAAAGCACAATACCTTACTTTGTCCCCTTTTCAAACCTGGGAGTTCACTATCTG
-Macaca_fascicularis GTCGCCCTTTCAGTCCCTATGTCACAAAGCAAGCTTTCGGTATTTCTCCTGGTCCGTCATCTCCCTATTGATTTTCCCTCGCATCTTTCGTATTTCCTACTATTTCTAGGCTCAATTATACCTCGAATTTTTATCCTTTTCTACATTTGTCCTTTACCTTTCCTTCTCTCTTCCTCACAAAGCACAATACCTTACTTCGTCCCCTTTTCAAACCTGGGAGTCCACTATCTG
-Macaca_sylvanus     GTCGCCTTTTCAGTCCCTATGTCACAAAGCAGGTTTTCGGTATTTCTCCTGGTCCGTCATCTCCCTATTGATTTTCCCTCGCATCTTTCGTATTTCCTACTATTCCCAGGCTCAATTATACCTCGAATTTTTATCCTTTTCTACATTTGTCCTTTACCTTTCCTTCTCTCTTCCTTACAAAATACAATACCTTACTTCGTCCCCTATTTAAACTTGGGAGTTCACTGTCTG
-Saimiri_sciureus    GTCGCTTTTTCAGTCCCTTTGTCACAAAGTAGGCTCTCGGTACTTCTTGTGGTTCATCATCTCCCTATTGATTCTTCCTCGCATCTTTCGTATTTCCTACTATACCCAGGCTCAGCGATACTTCGAACTTTTATCCTTTTCTGCATTTGCCCT-TATCTCTTCTTGTTCCTTCCTTACAAGCTACAATATCTTACTTCGCTCTTTTTTCGAACTTCAGAGTCTACTATCTG
-Tarsius_syrichta    GTTGCCCTTTCAGTCCCTTTGTCACAAAGTAGGCTCTCGGTACTTCTCCCGGTTCGTCATCTCCCTATTGATCTTTCCTCGCATCTTTTGTACTTCCTACTATTTTCAGGAACAATAATTCCTCGAACTTTTATTCTTTTCCACATTTGCTATATTCCCTTTCTCTTTCCTTTCCCAAAACACACAATAACTCGCTTCGTTCTTTTTACAAATTTCAGAGTCTACTATGTG
-	;
-End;
diff --git a/doc/source/examples/primates.chars.subsets-3rdpos.nexus b/doc/source/examples/primates.chars.subsets-3rdpos.nexus
deleted file mode 100644
index c0934b1..0000000
--- a/doc/source/examples/primates.chars.subsets-3rdpos.nexus
+++ /dev/null
@@ -1,20 +0,0 @@
-#NEXUS 
-
-Begin data;
-	Dimensions ntax=12 nchar=231;
-	Format datatype=dna gap=-;
-	Matrix
-Lemur_catta         CCAAACTAACATCTAACAACTACCTCCAACTCTAAAAAAGCACTCTTACCAAACCCATCACACCTCTATCAACCTAACCAAACTATCAACATGCCCTCTCCTAATTAAAAACATTGCCACACTAAACCTACACACCTCATCACCATTAACGCATAACTCCTCAGTCATATCTACTACACACCCTAACAATTTATCCCTCCCATAATCCAAAAACTCCATAAACACAAATTC
-Homo_sapiens        CCCCACTCACCCGTACAAACCAACACCACTCTCCACCTAATATACAAATTAATAACCTCCCACCTTCAGAACTGAACGCCAATCTCATAACCAACACACCCCATCAAAGCACCCCTCCAACACAAACCCGCACACCTCCACCCCCCTCGTCTACGCTTACCACGTCATCCCTCCCTCTCAACACCTTAACTCACCTTCTCCCAAACGCACAATTCGCACACACAACGCCAC
-Pan                 CCCCATCCACCCATACAAACCAACATTACCCTCCATCCAATATACAAACTAACAACCTCCCACTCTTCAGACCGAACACCAATCTCACAACCAACACGCCCCGTCAAAACACCCCTTCAGCACAAATTCATACACCCCTACCTTTCCTACCCACGTTCACCACATCATCCCCCCCTCTCAACATCTTGACTCGCCTCTCTCCAAACACACAATTCACGCAAACAACGCCAC
-Gorilla             CCCCATTTATCCATAAAAACCAACACCAACCCCCATCTAACACACAAACTAATGACCCCCCACCCTCAAAGCCAAACACCAACCCTATAATCAATACGCCTTATCAAAACACACCCCCAACATAAACCCACGCACCCCCACCCCTTCCGCCCATGCTCACCACATCATCTCTCCCCTTCAACACCTCAATCCACCTCCCCCCAAATACACAATTCACACAAACAATACCAC
-Pongo               CCCCACCCGTCTACACCAGCCAACACCAACCCCCACCTACTATACCAACCAATAACCTCTCAACCCCTAAACCAAACACTATCCCCAAAACCAACACACTCTACCAAAATACACCCCCAATTCACATCCGCACACCCCCACCCCCCCTGCCCACGTCCATCCCATCACCCTCTCCTCCCAACACCCTAAGCCACCTTCCTCAAAATCCAAAACCCACACAACCGAAACAAC
-Hylobates           CTATACCCACCCAACTCGACCTACACCAATCCCCACATAGCACACAGACCAACAACCTCCCACCTTCCATACCAAGCCCCGACTTTACCGCCAACGCACCTCATCAAAACATACCTACAACACAAACAAATGCCCCCCCACCCTCCTTCTTCAAGCCCACTAGACCATCCTACCTTCCTAGCACGCCAAGCTCTCTACCATCAAACGCACAACTTACACATACAGAACCAC
-Macaca_fuscata      CTCCACCTGCTCACCTCATCCACTACTACTCCTCAAGCAATACATAAACTAAAAACTTCTCACCTCTAATACTACACACCACTCCTGAAATCAATGCCCTCCACTAAAAAACATCACCAGCCCAAACAAACACCTATCTACCCCCCCGGTCCACGCCCCTAACTCCATCATTCCCCCTCAATACATCAAACAATTCCCCCCAATACCCACAAACTGCATAAGCAAACAGAC
-Macaca_mulatta      CTTCACCCGTTCACCTCATCCACTACTACTCCTCAAGCGATACATAAATCAAAAACTTCTCACCTCCAATACTACGCACCGCTCCTAAAATCAATGCCCCCCACCAAAAAACATCACCAACCCAAACAAACACCTACCCATCCCCCCGGTTCACGCCTCAAACTCCATCATTCCCCCTCAATACATCAAACAATTCCCCCCAATACCCACAAACTACATAAACAAACAAAC
-Macaca_fascicularis CCCCACCTACCCGCCTCGTCCGCTACTGCTTCTCAAACAATATATAGACCAACAACTTCTCACCTTTAACACTACATATCACTCCTGAGCTTAACACCCTCCGCTAAAAAACACCACTAACCCAAACAAACACCTATCTATCCCCCCGGTCCACGCCCCAAACCCCGCTATTCCCCCCTAATACACCAAACAATTTTCTCCAACACCCACAAACTGTATAAACAAACAAAC
-Macaca_sylvanus     CCCTATCTATCTACCTCACCCGCCACCACCCCCCAAACAACACACAAACCAACAACTTTTTACCTTTAGCACCACACATCACCCCCAAAAGCAATACCCTTCACCAAAAAGCACCATCAAATCAAACAAACACCTATTTATTCCCCTAATTCACGTCCCAAATCCCATTATCTCTCCCCAACATACCAAACAATTCTCCCTAATATACACAAACCACGCAAACAAACAAAC
-Saimiri_sciureus    CCCCAGCAACTCGTTGTGACCAACATCAATCCAAAATTAGCAAACGTACCAACAATCTCCCACATTTAAAAACACATCCTACCTTTACAATTAATAACCATTGTCTAGATATACCCCTAAAATAAATGAATATAAACCCTCGCCGATAACATA-ACCCCTAAAATCAAGACATCCTCTCACAACGCCAAACCCCCCTCTCATAACTCTACAAAATACACAATCACCAACAC
-Tarsius_syrichta    TCTACCTTATCTCCCCCAATCAATACCAACCTAAAAACTCTACAATTAAAAACCCCACCGCTCAATTACTAGCAAAAATAGACATTCAACTCCTCCCATCATAACATAAAACATTCCTCGCTCCAATAAACACATCACAATCCCAATAACGCATATACCTAAATACATCATTTAATAATAATACTCCAACTCCCATAACACAGCATACATAAACTCCATAAGTTTCAACAC
-	;
-End;
diff --git a/doc/source/examples/primates.chars.subsets-all.nexus b/doc/source/examples/primates.chars.subsets-all.nexus
deleted file mode 100644
index 6505d4f..0000000
--- a/doc/source/examples/primates.chars.subsets-all.nexus
+++ /dev/null
@@ -1,72 +0,0 @@
-#NEXUS
-
-[Modified from example data distributed with PAUP* 4.01b.
- Original Data from:
-	Hayasaka, K., T. Gojobori, and S. Horai. 1988. Molecular phylogeny
-		and evolution of primate mitochondrial DNA. Mol. Biol. Evol.
-		5:626-644.
-]
-
-BEGIN TAXA;
-	DIMENSIONS NTAX=12;
-	TAXLABELS
-        Lemur_catta
-        Homo_sapiens
-        Pan
-        Gorilla
-        Pongo
-        Hylobates
-        Macaca_fuscata
-        Macaca_mulatta
-        Macaca_fascicularis
-        Macaca_sylvanus
-        Saimiri_sciureus
-        Tarsius_syrichta
-	;
-END;
-
-BEGIN CHARACTERS;
-	DIMENSIONS NCHAR=898;
-	FORMAT DATATYPE=DNA GAP=-;
-	MATRIX
-Lemur_catta      AAGCTTCATAGGAGCAACCATTCTAATAATCGCACATGGCCTTACATCATCCATATTATTCTGTCTAGCCAACTCTAACTACGAACGAATCCATAGCCGTACAATACTACTAGCACGAGGGATCCAAACCATTCTCCCTCTTATAGCCACCTGATGACTACTCGCCAGCCTAACTAACCTAGCCCTACCCACCTCTATCAATTTAATTGGCGAACTATTCGTCACTATAGCATCCTTCTCATGATCAAACATTACAATTATCTTAATAGGCTTAAATATGCTCATCACCGCTCTCTATTCCCTCTATATATTAACTACTACACAACGAGGAAAACTCACATATCATTCGCACAACCTAAACCCATCCTTTACACGAGAAAACACCCTTATATCCATACACATACTCCCCCTTCTCCTATTTACCTTAAACCCCAAAATTATTCTAGGACCCACGTACTGTAAATATAGTTTAAA- [...]
-Homo_sapiens     AAGCTTCACCGGCGCAGTCATTCTCATAATCGCCCACGGGCTTACATCCTCATTACTATTCTGCCTAGCAAACTCAAACTACGAACGCACTCACAGTCGCATCATAATCCTCTCTCAAGGACTTCAAACTCTACTCCCACTAATAGCTTTTTGATGACTTCTAGCAAGCCTCGCTAACCTCGCCTTACCCCCCACTATTAACCTACTGGGAGAACTCTCTGTGCTAGTAACCACGTTCTCCTGATCAAATATCACTCTCCTACTTACAGGACTCAACATACTAGTCACAGCCCTATACTCCCTCTACATATTTACCACAACACAATGGGGCTCACTCACCCACCACATTAACAACATAAAACCCTCATTCACACGAGAAAACACCCTCATGTTCATACACCTATCCCCCATTCTCCTCCTATCCCTCAACCCCGACATCATTACCGGGTTTTCCTCTTGTAAATATAGTTTAACC [...]
-Pan              AAGCTTCACCGGCGCAATTATCCTCATAATCGCCCACGGACTTACATCCTCATTATTATTCTGCCTAGCAAACTCAAATTATGAACGCACCCACAGTCGCATCATAATTCTCTCCCAAGGACTTCAAACTCTACTCCCACTAATAGCCTTTTGATGACTCCTAGCAAGCCTCGCTAACCTCGCCCTACCCCCTACCATTAATCTCCTAGGGGAACTCTCCGTGCTAGTAACCTCATTCTCCTGATCAAATACCACTCTCCTACTCACAGGATTCAACATACTAATCACAGCCCTGTACTCCCTCTACATGTTTACCACAACACAATGAGGCTCACTCACCCACCACATTAATAACATAAAGCCCTCATTCACACGAGAAAATACTCTCATATTTTTACACCTATCCCCCATCCTCCTTCTATCCCTCAATCCTGATATCATCACTGGATTCACCTCCTGTAAATATAGTTTAACC [...]
-Gorilla          AAGCTTCACCGGCGCAGTTGTTCTTATAATTGCCCACGGACTTACATCATCATTATTATTCTGCCTAGCAAACTCAAACTACGAACGAACCCACAGCCGCATCATAATTCTCTCTCAAGGACTCCAAACCCTACTCCCACTAATAGCCCTTTGATGACTTCTGGCAAGCCTCGCCAACCTCGCCTTACCCCCCACCATTAACCTACTAGGAGAGCTCTCCGTACTAGTAACCACATTCTCCTGATCAAACACCACCCTTTTACTTACAGGATCTAACATACTAATTACAGCCCTGTACTCCCTTTATATATTTACCACAACACAATGAGGCCCACTCACACACCACATCACCAACATAAAACCCTCATTTACACGAGAAAACATCCTCATATTCATGCACCTATCCCCCATCCTCCTCCTATCCCTCAACCCCGATATTATCACCGGGTTCACCTCCTGTAAATATAGTTTAACC [...]
-Pongo            AAGCTTCACCGGCGCAACCACCCTCATGATTGCCCATGGACTCACATCCTCCCTACTGTTCTGCCTAGCAAACTCAAACTACGAACGAACCCACAGCCGCATCATAATCCTCTCTCAAGGCCTTCAAACTCTACTCCCCCTAATAGCCCTCTGATGACTTCTAGCAAGCCTCACTAACCTTGCCCTACCACCCACCATCAACCTTCTAGGAGAACTCTCCGTACTAATAGCCATATTCTCTTGATCTAACATCACCATCCTACTAACAGGACTCAACATACTAATCACAACCCTATACTCTCTCTATATATTCACCACAACACAACGAGGTACACCCACACACCACATCAACAACATAAAACCTTCTTTCACACGCGAAAATACCCTCATGCTCATACACCTATCCCCCATCCTCCTCTTATCCCTCAACCCCAGCATCATCGCTGGGTTCGCCTACTGTAAATATAGTTTAACC [...]
-Hylobates        AAGCTTTACAGGTGCAACCGTCCTCATAATCGCCCACGGACTAACCTCTTCCCTGCTATTCTGCCTTGCAAACTCAAACTACGAACGAACTCACAGCCGCATCATAATCCTATCTCGAGGGCTCCAAGCCTTACTCCCACTGATAGCCTTCTGATGACTCGCAGCAAGCCTCGCTAACCTCGCCCTACCCCCCACTATTAACCTCCTAGGTGAACTCTTCGTACTAATGGCCTCCTTCTCCTGGGCAAACACTACTATTACACTCACCGGGCTCAACGTACTAATCACGGCCCTATACTCCCTTTACATATTTATCATAACACAACGAGGCACACTTACACACCACATTAAAAACATAAAACCCTCACTCACACGAGAAAACATATTAATACTTATGCACCTCTTCCCCCTCCTCCTCCTAACCCTCAACCCTAACATCATTACTGGCTTTACTCCCTGTAAACATAGTTTAATC [...]
-Macaca_fuscata   AAGCTTTTCCGGCGCAACCATCCTTATGATCGCTCACGGACTCACCTCTTCCATATATTTCTGCCTAGCCAATTCAAACTATGAACGCACTCACAACCGTACCATACTACTGTCCCGAGGACTTCAAATCCTACTTCCACTAACAGCCTTTTGATGATTAACAGCAAGCCTTACTAACCTTGCCCTACCCCCCACTATCAATCTACTAGGTGAACTCTTTGTAATCGCAACCTCATTCTCCTGATCCCATATCACCATTATGCTAACAGGACTTAACATATTAATTACGGCCCTCTACTCTCTCCACATATTCACTACAACACAACGAGGAACACTCACACATCACATAATCAACATAAAGCCCCCCTTCACACGAGAAAACACATTAATATTCATACACCTCGCTCCAATTATCCTTCTATCCCTCAACCCCAACATCATCCTGGGGTTTACCTCCTGTAGATATAGTTTAACT [...]
-Macaca_mulatta       AAGCTTTTCTGGCGCAACCATCCTCATGATTGCTCACGGACTCACCTCTTCCATATATTTCTGCCTAGCCAATTCAAACTATGAACGCACTCACAACCGTACCATACTACTGTCCCGGGGACTTCAAATCCTACTTCCACTAACAGCTTTCTGATGATTAACAGCAAGCCTTACTAACCTTGCCCTACCCCCCACTATCAACCTACTAGGTGAACTCTTTGTAATCGCGACCTCATTCTCCTGGTCCCATATCACCATTATATTAACAGGATTTAACATACTAATTACGGCCCTCTACTCCCTCCACATATTCACCACAACACAACGAGGAGCACTCACACATCACATAATCAACATAAAACCCCCCTTCACACGAGAAAACATATTAATATTCATACACCTCGCTCCAATCATCCTCCTATCTCTCAACCCCAACATCATCCTGGGGTTTACTTCCTGTAGATATAGTTT [...]
-Macaca_fascicularis  AAGCTTCTCCGGCGCAACCACCCTTATAATCGCCCACGGGCTCACCTCTTCCATGTATTTCTGCTTGGCCAATTCAAACTATGAGCGCACTCATAACCGTACCATACTACTATCCCGAGGACTTCAAATTCTACTTCCATTGACAGCCTTCTGATGACTCACAGCAAGCCTTACTAACCTTGCCCTACCCCCCACTATTAATCTACTAGGCGAACTCTTTGTAATCACAACTTCATTTTCCTGATCCCATATCACCATTGTGTTAACGGGCCTTAATATACTAATCACAGCCCTCTACTCTCTCCACATGTTCATTACAGTACAACGAGGAACACTCACACACCACATAATCAATATAAAACCCCCCTTCACACGAGAAAACATATTAATATTCATACACCTCGCTCCAATTATCCTTCTATCTCTCAACCCCAACATCATCCTGGGGTTTACCTCCTGTAAATATAGTTT [...]
-Macaca_sylvanus      AAGCTTCTCCGGTGCAACTATCCTTATAGTTGCCCATGGACTCACCTCTTCCATATACTTCTGCTTGGCCAACTCAAACTACGAACGCACCCACAGCCGCATCATACTACTATCCCGAGGACTCCAAATCCTACTCCCACTAACAGCCTTCTGATGATTCACAGCAAGCCTTACTAATCTTGCTCTACCCTCCACTATTAATCTACTGGGCGAACTCTTCGTAATCGCAACCTCATTTTCCTGATCCCACATCACCATCATACTAACAGGACTGAACATACTAATTACAGCCCTCTACTCTCTTCACATATTCACCACAACACAACGAGGAGCGCTCACACACCACATAATTAACATAAAACCACCTTTCACACGAGAAAACATATTAATACTCATACACCTCGCTCCAATTATTCTTCTATCTCTTAACCCCAACATCATTCTAGGATTTACTTCCTGTAAATATAGTTT [...]
-Saimiri_sciureus AAGCTTCACCGGCGCAATGATCCTAATAATCGCTCACGGGTTTACTTCGTCTATGCTATTCTGCCTAGCAAACTCAAATTACGAACGAATTCACAGCCGAACAATAACATTTACTCGAGGGCTCCAAACACTATTCCCGCTTATAGGCCTCTGATGACTCCTAGCAAATCTCGCTAACCTCGCCCTACCCACAGCTATTAATCTAGTAGGAGAATTACTCACAATCGTATCTTCCTTCTCTTGATCCAACTTTACTATTATATTCACAGGACTTAATATACTAATTACAGCACTCTACTCACTTCATATGTATGCCTCTACACAGCGAGGTCCACTTACATACAGCACCAGCAATATAAAACCAATATTTACACGAGAAAATACGCTAATATTTATACATATAACACCAATCCTCCTCCTTACCTTGAGCCCCAAGGTAATTATAGGACCCTCACCTTGTAATTATAGTTTAGCT [...]
-Tarsius_syrichta AAGTTTCATTGGAGCCACCACTCTTATAATTGCCCATGGCCTCACCTCCTCCCTATTATTTTGCCTAGCAAATACAAACTACGAACGAGTCCACAGTCGAACAATAGCACTAGCCCGTGGCCTTCAAACCCTATTACCTCTTGCAGCAACATGATGACTCCTCGCCAGCTTAACCAACCTGGCCCTTCCCCCAACAATTAATTTAATCGGTGAACTGTCCGTAATAATAGCAGCATTTTCATGGTCACACCTAACTATTATCTTAGTAGGCCTTAACACCCTTATCACCGCCCTATATTCCCTATATATACTAATCATAACTCAACGAGGAAAATACACATATCATATCAACAATATCATGCCCCCTTTCACCCGAGAAAATACATTAATAATCATACACCTATTTCCCTTAATCCTACTATCTACCAACCCCAAAGTAATTATAGGAACCATGTACTGTAAATATAGTTTAAAC [...]
-	;
-END;
-
-begin sets;
-	charset coding = 2-457 660-896;
-	charset noncoding = 1 458-659 897-898;
-	charset 1stpos = 2-457\3 660-896\3;
-	charset 2ndpos = 3-457\3 661-896\3;
-	charset 3rdpos = 4-457\3 662-.\3;
-end;
-
-begin paup;
-    exclude all;
-    include coding;
-    export file=primates.chars.subsets-coding.nexus format=nexus replace=yes;
-    exclude all;
-    include noncoding;
-    export file=primates.chars.subsets-noncoding.nexus format=nexus replace=yes;
-    exclude all;
-    include 1stpos;
-    export file=primates.chars.subsets-1stpos.nexus format=nexus replace=yes;
-    exclude all;
-    include 2ndpos;
-    export file=primates.chars.subsets-2ndpos.nexus format=nexus replace=yes;
-    exclude all;
-    include 3rdpos;
-    export file=primates.chars.subsets-3rdpos.nexus format=nexus replace=yes;
-end;
-
diff --git a/doc/source/examples/primates.chars.subsets-coding.nexus b/doc/source/examples/primates.chars.subsets-coding.nexus
deleted file mode 100644
index df0dbcf..0000000
--- a/doc/source/examples/primates.chars.subsets-coding.nexus
+++ /dev/null
@@ -1,20 +0,0 @@
-#NEXUS 
-
-Begin data;
-	Dimensions ntax=12 nchar=693;
-	Format datatype=dna gap=-;
-	Matrix
-Lemur_catta         AGCTTCATAGGAGCAACCATTCTAATAATCGCACATGGCCTTACATCATCCATATTATTCTGTCTAGCCAACTCTAACTACGAACGAATCCATAGCCGTACAATACTACTAGCACGAGGGATCCAAACCATTCTCCCTCTTATAGCCACCTGATGACTACTCGCCAGCCTAACTAACCTAGCCCTACCCACCTCTATCAATTTAATTGGCGAACTATTCGTCACTATAGCATCCTTCTCATGATCAAACATTACAATTATCTTAATAGGCTTAAATATGCTCATCACCGCTCTCTATTCCCTCTATATATTAACTACTACACAACGAGGAAAACTCACATATCATTCGCACAACCTAAACCCATCCTTTACACGAGAAAACACCCTTATATCCATACACATACTCCCCCTTCTCCTATTTACCTTAAACCCCAAAATTATTCTAGGACCCACGTACATAAATCTATTATCCT [...]
-Homo_sapiens        AGCTTCACCGGCGCAGTCATTCTCATAATCGCCCACGGGCTTACATCCTCATTACTATTCTGCCTAGCAAACTCAAACTACGAACGCACTCACAGTCGCATCATAATCCTCTCTCAAGGACTTCAAACTCTACTCCCACTAATAGCTTTTTGATGACTTCTAGCAAGCCTCGCTAACCTCGCCTTACCCCCCACTATTAACCTACTGGGAGAACTCTCTGTGCTAGTAACCACGTTCTCCTGATCAAATATCACTCTCCTACTTACAGGACTCAACATACTAGTCACAGCCCTATACTCCCTCTACATATTTACCACAACACAATGGGGCTCACTCACCCACCACATTAACAACATAAAACCCTCATTCACACGAGAAAACACCCTCATGTTCATACACCTATCCCCCATTCTCCTCCTATCCCTCAACCCCGACATCATTACCGGGTTTTCCTCTATAACCATGCACACTA [...]
-Pan                 AGCTTCACCGGCGCAATTATCCTCATAATCGCCCACGGACTTACATCCTCATTATTATTCTGCCTAGCAAACTCAAATTATGAACGCACCCACAGTCGCATCATAATTCTCTCCCAAGGACTTCAAACTCTACTCCCACTAATAGCCTTTTGATGACTCCTAGCAAGCCTCGCTAACCTCGCCCTACCCCCTACCATTAATCTCCTAGGGGAACTCTCCGTGCTAGTAACCTCATTCTCCTGATCAAATACCACTCTCCTACTCACAGGATTCAACATACTAATCACAGCCCTGTACTCCCTCTACATGTTTACCACAACACAATGAGGCTCACTCACCCACCACATTAATAACATAAAGCCCTCATTCACACGAGAAAATACTCTCATATTTTTACACCTATCCCCCATCCTCCTTCTATCCCTCAATCCTGATATCATCACTGGATTCACCTCCATAACCATGTATACTA [...]
-Gorilla             AGCTTCACCGGCGCAGTTGTTCTTATAATTGCCCACGGACTTACATCATCATTATTATTCTGCCTAGCAAACTCAAACTACGAACGAACCCACAGCCGCATCATAATTCTCTCTCAAGGACTCCAAACCCTACTCCCACTAATAGCCCTTTGATGACTTCTGGCAAGCCTCGCCAACCTCGCCTTACCCCCCACCATTAACCTACTAGGAGAGCTCTCCGTACTAGTAACCACATTCTCCTGATCAAACACCACCCTTTTACTTACAGGATCTAACATACTAATTACAGCCCTGTACTCCCTTTATATATTTACCACAACACAATGAGGCCCACTCACACACCACATCACCAACATAAAACCCTCATTTACACGAGAAAACATCCTCATATTCATGCACCTATCCCCCATCCTCCTCCTATCCCTCAACCCCGATATTATCACCGGGTTCACCTCCATAACTATGTACGCTA [...]
-Pongo               AGCTTCACCGGCGCAACCACCCTCATGATTGCCCATGGACTCACATCCTCCCTACTGTTCTGCCTAGCAAACTCAAACTACGAACGAACCCACAGCCGCATCATAATCCTCTCTCAAGGCCTTCAAACTCTACTCCCCCTAATAGCCCTCTGATGACTTCTAGCAAGCCTCACTAACCTTGCCCTACCACCCACCATCAACCTTCTAGGAGAACTCTCCGTACTAATAGCCATATTCTCTTGATCTAACATCACCATCCTACTAACAGGACTCAACATACTAATCACAACCCTATACTCTCTCTATATATTCACCACAACACAACGAGGTACACCCACACACCACATCAACAACATAAAACCTTCTTTCACACGCGAAAATACCCTCATGCTCATACACCTATCCCCCATCCTCCTCTTATCCCTCAACCCCAGCATCATCGCTGGGTTCGCCTACACAGCCATGTTTACCA [...]
-Hylobates           AGCTTTACAGGTGCAACCGTCCTCATAATCGCCCACGGACTAACCTCTTCCCTGCTATTCTGCCTTGCAAACTCAAACTACGAACGAACTCACAGCCGCATCATAATCCTATCTCGAGGGCTCCAAGCCTTACTCCCACTGATAGCCTTCTGATGACTCGCAGCAAGCCTCGCTAACCTCGCCCTACCCCCCACTATTAACCTCCTAGGTGAACTCTTCGTACTAATGGCCTCCTTCTCCTGGGCAAACACTACTATTACACTCACCGGGCTCAACGTACTAATCACGGCCCTATACTCCCTTTACATATTTATCATAACACAACGAGGCACACTTACACACCACATTAAAAACATAAAACCCTCACTCACACGAGAAAACATATTAATACTTATGCACCTCTTCCCCCTCCTCCTCCTAACCCTCAACCCTAACATCATTACTGGCTTTACTCCCATAGCAATGTACACCA [...]
-Macaca_fuscata      AGCTTTTCCGGCGCAACCATCCTTATGATCGCTCACGGACTCACCTCTTCCATATATTTCTGCCTAGCCAATTCAAACTATGAACGCACTCACAACCGTACCATACTACTGTCCCGAGGACTTCAAATCCTACTTCCACTAACAGCCTTTTGATGATTAACAGCAAGCCTTACTAACCTTGCCCTACCCCCCACTATCAATCTACTAGGTGAACTCTTTGTAATCGCAACCTCATTCTCCTGATCCCATATCACCATTATGCTAACAGGACTTAACATATTAATTACGGCCCTCTACTCTCTCCACATATTCACTACAACACAACGAGGAACACTCACACATCACATAATCAACATAAAGCCCCCCTTCACACGAGAAAACACATTAATATTCATACACCTCGCTCCAATTATCCTTCTATCCCTCAACCCCAACATCATCCTGGGGTTTACCTCCATAATCATGCACACCC [...]
-Macaca_mulatta      AGCTTTTCTGGCGCAACCATCCTCATGATTGCTCACGGACTCACCTCTTCCATATATTTCTGCCTAGCCAATTCAAACTATGAACGCACTCACAACCGTACCATACTACTGTCCCGGGGACTTCAAATCCTACTTCCACTAACAGCTTTCTGATGATTAACAGCAAGCCTTACTAACCTTGCCCTACCCCCCACTATCAACCTACTAGGTGAACTCTTTGTAATCGCGACCTCATTCTCCTGGTCCCATATCACCATTATATTAACAGGATTTAACATACTAATTACGGCCCTCTACTCCCTCCACATATTCACCACAACACAACGAGGAGCACTCACACATCACATAATCAACATAAAACCCCCCTTCACACGAGAAAACATATTAATATTCATACACCTCGCTCCAATCATCCTCCTATCTCTCAACCCCAACATCATCCTGGGGTTTACTTCCATAATCATGCACACCC [...]
-Macaca_fascicularis AGCTTCTCCGGCGCAACCACCCTTATAATCGCCCACGGGCTCACCTCTTCCATGTATTTCTGCTTGGCCAATTCAAACTATGAGCGCACTCATAACCGTACCATACTACTATCCCGAGGACTTCAAATTCTACTTCCATTGACAGCCTTCTGATGACTCACAGCAAGCCTTACTAACCTTGCCCTACCCCCCACTATTAATCTACTAGGCGAACTCTTTGTAATCACAACTTCATTTTCCTGATCCCATATCACCATTGTGTTAACGGGCCTTAATATACTAATCACAGCCCTCTACTCTCTCCACATGTTCATTACAGTACAACGAGGAACACTCACACACCACATAATCAATATAAAACCCCCCTTCACACGAGAAAACATATTAATATTCATACACCTCGCTCCAATTATCCTTCTATCTCTCAACCCCAACATCATCCTGGGGTTTACCTCCATAATCATGCACACCC [...]
-Macaca_sylvanus     AGCTTCTCCGGTGCAACTATCCTTATAGTTGCCCATGGACTCACCTCTTCCATATACTTCTGCTTGGCCAACTCAAACTACGAACGCACCCACAGCCGCATCATACTACTATCCCGAGGACTCCAAATCCTACTCCCACTAACAGCCTTCTGATGATTCACAGCAAGCCTTACTAATCTTGCTCTACCCTCCACTATTAATCTACTGGGCGAACTCTTCGTAATCGCAACCTCATTTTCCTGATCCCACATCACCATCATACTAACAGGACTGAACATACTAATTACAGCCCTCTACTCTCTTCACATATTCACCACAACACAACGAGGAGCGCTCACACACCACATAATTAACATAAAACCACCTTTCACACGAGAAAACATATTAATACTCATACACCTCGCTCCAATTATTCTTCTATCTCTTAACCCCAACATCATTCTAGGATTTACTTCCATAATCATGTATACCC [...]
-Saimiri_sciureus    AGCTTCACCGGCGCAATGATCCTAATAATCGCTCACGGGTTTACTTCGTCTATGCTATTCTGCCTAGCAAACTCAAATTACGAACGAATTCACAGCCGAACAATAACATTTACTCGAGGGCTCCAAACACTATTCCCGCTTATAGGCCTCTGATGACTCCTAGCAAATCTCGCTAACCTCGCCCTACCCACAGCTATTAATCTAGTAGGAGAATTACTCACAATCGTATCTTCCTTCTCTTGATCCAACTTTACTATTATATTCACAGGACTTAATATACTAATTACAGCACTCTACTCACTTCATATGTATGCCTCTACACAGCGAGGTCCACTTACATACAGCACCAGCAATATAAAACCAATATTTACACGAGAAAATACGCTAATATTTATACATATAACACCAATCCTCCTCCTTACCTTGAGCCCCAAGGTAATTATAGGACCCTCACCTATA---ATACACTTCT [...]
-Tarsius_syrichta    AGTTTCATTGGAGCCACCACTCTTATAATTGCCCATGGCCTCACCTCCTCCCTATTATTTTGCCTAGCAAATACAAACTACGAACGAGTCCACAGTCGAACAATAGCACTAGCCCGTGGCCTTCAAACCCTATTACCTCTTGCAGCAACATGATGACTCCTCGCCAGCTTAACCAACCTGGCCCTTCCCCCAACAATTAATTTAATCGGTGAACTGTCCGTAATAATAGCAGCATTTTCATGGTCACACCTAACTATTATCTTAGTAGGCCTTAACACCCTTATCACCGCCCTATATTCCCTATATATACTAATCATAACTCAACGAGGAAAATACACATATCATATCAACAATATCATGCCCCCTTTCACCCGAGAAAATACATTAATAATCATACACCTATTTCCCTTAATCCTACTATCTACCAACCCCAAAGTAATTATAGGAACCATGTACATAAATTTATTTTCAT [...]
-	;
-End;
diff --git a/doc/source/examples/primates.chars.subsets-noncoding.nexus b/doc/source/examples/primates.chars.subsets-noncoding.nexus
deleted file mode 100644
index b43cac2..0000000
--- a/doc/source/examples/primates.chars.subsets-noncoding.nexus
+++ /dev/null
@@ -1,20 +0,0 @@
-#NEXUS 
-
-Begin data;
-	Dimensions ntax=12 nchar=205;
-	Format datatype=dna gap=-;
-	Matrix
-Lemur_catta         ATGTAAATATAGTTTAAA-AAAACACTAGATTGTGAATCCAGAAATAGAAGCTCAAAC-CTTCTTATTTACCGAGAAAGTAATGTATGAACTGCTAACTCTGCACTCCGTATATAAAAATACGGCTATCTCAACTTTTAAAGGATAGAAGTAATCCATTGGCCTTAGGAGCCAAAAA-ATTGGTGCAACTCCAAATAAAAGTATT
-Homo_sapiens        ATGTAAATATAGTTTAACCAAAACATCAGATTGTGAATCTGACAACAGAGGCTTA-CGACCCCTTATTTACCGAGAAAGCT-CACAAGAACTGCTAACTCATGCCCCCATGTCTAACAACATGGCTTTCTCAACTTTTAAAGGATAACAGCTATCCATTGGTCTTAGGCCCCAAAAATTTTGGTGCAACTCCAAATAAAAGTATT
-Pan                 ATGTAAATATAGTTTAACCAAAACATCAGATTGTGAATCTGACAACAGAGGCTCA-CGACCCCTTATTTACCGAGAAAGCT-TATAAGAACTGCTAATTCATATCCCCATGCCTGACAACATGGCTTTCTCAACTTTTAAAGGATAACAGCCATCCGTTGGTCTTAGGCCCCAAAAATTTTGGTGCAACTCCAAATAAAAGTATT
-Gorilla             ATGTAAATATAGTTTAACCAAAACATCAGATTGTGAATCTGATAACAGAGGCTCA-CAACCCCTTATTTACCGAGAAAGCT-CGTAAGAGCTGCTAACTCATACCCCCGTGCTTGACAACATGGCTTTCTCAACTTTTAAAGGATAACAGCTATCCATTGGTCTTAGGACCCAAAAATTTTGGTGCAACTCCAAATAAAAGTATT
-Pongo               ATGTAAATATAGTTTAACCAAAACATTAGATTGTGAATCTAATAATAGGGCCCCA-CAACCCCTTATTTACCGAGAAAGCT-CACAAGAACTGCTAACTCTCACT-CCATGTGTGACAACATGGCTTTCTCAGCTTTTAAAGGATAACAGCTATCCCTTGGTCTTAGGATCCAAAAATTTTGGTGCAACTCCAAATAAAAGTATT
-Hylobates           ATGTAAACATAGTTTAATCAAAACATTAGATTGTGAATCTAACAATAGAGGCTCG-AAACCTCTTGCTTACCGAGAAAGCC-CACAAGAACTGCTAACTCACTATCCCATGTATGACAACATGGCTTTCTCAACTTTTAAAGGATAACAGCTATCCATTGGTCTTAGGACCCAAAAATTTTGGTGCAACTCCAAATAAAAGTATT
-Macaca_fuscata      ATGTAGATATAGTTTAACTAAAACACTAGATTGTGAATCTAACCATAGAGACTCA-CCACCTCTTATTTACCGAGAAAACT-CGCAAGGACTGCTAACCCATGTACCCGTACCTAAAATTACGGTTTTCTCAACTTTTAAAGGATAACAGCTATCCATTGACCTTAGGAGTCAAAAACATTGGTGCAACTCCAAATAAAAGTATT
-Macaca_mulatta      ATGTAGATATAGTTTAACTAAAACATTAGATTGTGAATCTAACCATAGAGACTTA-CCACCTCTTATTTACCGAGAAAACT-CGCGAGGACTGCTAACCCATGTATCCGTACCTAAAATTACGGTTTTCTCAACTTTTAAAGGATAACAGCTATCCATTGACCTTAGGAGTCAAAAATATTGGTGCAACTCCAAATAAAAGTATT
-Macaca_fascicularis ATGTAAATATAGTTTAACTAAAACATTAGATTGTGAATCTAACTATAGAGGCCTA-CCACTTCTTATTTACCGAGAAAACT-CGCAAGGACTGCTAATCCATGCCTCCGTACTTAAAACTACGGTTTCCTCAACTTTTAAAGGATAACAGCTATCCATTGACCTTAGGAGTCAAAAACATTGGTGCAACTCCAAATAAAAGTATT
-Macaca_sylvanus     ATGTAAATATAGTTTAATTAAAACATTAGACTGTGAATCTAACTATAGAAGCTTA-CCACTTCTTATTTACCGAGAAAACT-TGCAAGGACCGCTAATCCACACCTCCGTACTTAAAACTACGGTTTTCTCAACTTTTAAAGGATAACAGCTATCCATTGGCCTTAGGAGTCAAAAATATTGGTGCAACTCCAAATAAAAGTATT
-Saimiri_sciureus    ATGTAATTATAGTTTAGCTAAAACATTAGATTGTGAATCTAATAATAGAAGAATA-TAACTTCTTAATTACCGAGAAAGTG-CGCAAGAACTGCTAATTCATGCTCCCAAGACTAACAACTTGGCTTCCTCAACTTTTAAAGGATAGTAGTTATCCATTGGTCTTAGGAGCCAAAAACATTGGTGCAACTCCAAATAAAAGTATT
-Tarsius_syrichta    ATGTAAATATAGTTTAAACAAAACATTAGATTGTGAGTCTAATAATAGAAGCCCAAAGATTTCTTATTTACCAAGAAAGTA-TGCAAGAACTGCTAACTCATGCCTCCATATATAACAATGTGGCTTTCTT-ACTTTTAAAGGATAGAAGTAATCCATCGGTCTTAGGAACCGAAAA-ATTGGTGCAACTCCAAATAAAAGTATT
-	;
-End;
diff --git a/doc/source/examples/prune_taxa_with_labels.py b/doc/source/examples/prune_taxa_with_labels.py
deleted file mode 100644
index 713ccd8..0000000
--- a/doc/source/examples/prune_taxa_with_labels.py
+++ /dev/null
@@ -1,17 +0,0 @@
-#! /usr/bin/env python
-
-import dendropy
-
-tree_str = "[&R] ((A, (B, (C, (D, E)))),(F, (G, H)));"
-
-tree = dendropy.Tree.get(
-        data=tree_str,
-        schema="newick")
-print("Before:")
-print(tree.as_string(schema='newick'))
-print(tree.as_ascii_plot())
-tree.prune_taxa_with_labels(["A", "C", "G"])
-print("After:")
-print(tree.as_string(schema='newick'))
-print(tree.as_ascii_plot())
-
diff --git a/doc/source/examples/pure_kingman1.py b/doc/source/examples/pure_kingman1.py
deleted file mode 100644
index 51c535b..0000000
--- a/doc/source/examples/pure_kingman1.py
+++ /dev/null
@@ -1,11 +0,0 @@
-#! /usr/bin/env python
-
-import dendropy
-from dendropy.simulate import treesim
-
-taxa = dendropy.TaxonNamespace(["z1", "z2", "z3", "z4", "z5", "z6", "z7", "z8"])
-tree = treesim.pure_kingman_tree(
-        taxon_namespace=taxa,
-        pop_size=10000)
-print(tree.as_string(schema="newick"))
-print(tree.as_ascii_plot())
diff --git a/doc/source/examples/pythonidae.beast-mcmc.trees b/doc/source/examples/pythonidae.beast-mcmc.trees
deleted file mode 100644
index 8f8bcb5..0000000
--- a/doc/source/examples/pythonidae.beast-mcmc.trees
+++ /dev/null
@@ -1,1079 +0,0 @@
-#NEXUS
-
-Begin taxa;
-	Dimensions ntax=33;
-	Taxlabels
-		'Antaresia childreni'
-		'Antaresia maculosa'
-		'Antaresia melanocephalus'
-		'Antaresia perthensis'
-		'Antaresia ramsayi'
-		'Antaresia stimsoni'
-		'Apodora papuana'
-		'Bothrochilus boa'
-		'Candoia aspera'
-		'Liasis albertisii'
-		'Liasis fuscus'
-		'Liasis mackloti'
-		'Liasis olivaceus'
-		'Loxocemus bicolor'
-		'Morelia amethistina'
-		'Morelia boeleni'
-		'Morelia bredli'
-		'Morelia carinata'
-		'Morelia clastolepis'
-		'Morelia kinghorni'
-		'Morelia nauta'
-		'Morelia oenpelliensis'
-		'Morelia spilota'
-		'Morelia tracyae'
-		'Morelia viridisN'
-		'Morelia viridisS'
-		'Python curtus'
-		'Python molurus'
-		'Python regius'
-		'Python reticulatus'
-		'Python sebae'
-		'Python timoriensis'
-		'Xenopeltis unicolor'
-		;
-End;
-
-Begin trees;
-	Translate
-		1 'Antaresia childreni',
-		2 'Antaresia maculosa',
-		3 'Antaresia melanocephalus',
-		4 'Antaresia perthensis',
-		5 'Antaresia ramsayi',
-		6 'Antaresia stimsoni',
-		7 'Apodora papuana',
-		8 'Bothrochilus boa',
-		9 'Candoia aspera',
-		10 'Liasis albertisii',
-		11 'Liasis fuscus',
-		12 'Liasis mackloti',
-		13 'Liasis olivaceus',
-		14 'Loxocemus bicolor',
-		15 'Morelia amethistina',
-		16 'Morelia boeleni',
-		17 'Morelia bredli',
-		18 'Morelia carinata',
-		19 'Morelia clastolepis',
-		20 'Morelia kinghorni',
-		21 'Morelia nauta',
-		22 'Morelia oenpelliensis',
-		23 'Morelia spilota',
-		24 'Morelia tracyae',
-		25 'Morelia viridisN',
-		26 'Morelia viridisS',
-		27 'Python curtus',
-		28 'Python molurus',
-		29 'Python regius',
-		30 'Python reticulatus',
-		31 'Python sebae',
-		32 'Python timoriensis',
-		33 'Xenopeltis unicolor'
-		;
-tree STATE_0 [&lnP=-44525.18904166426] = [&R] (((((((((1:[&rate=7.813313919960342E-4]3.821032667225258,(19:[&rate=8.156721432760262E-4]1.0980939899093431,14:[&rate=8.342959841736593E-4]1.0980939899093431):[&rate=0.0010008786783363328]2.7229386773159145):[&rate=0.0010048187869511436]10.479510512577459,((((3:[&rate=8.478081834140964E-4]1.4764984794753326,4:[&rate=8.586904710144556E-4]1.4764984794753326):[&rate=0.001008789743818317]3.5696431175846692,(32:[&rate=8.679506839704271E-4]1.496536 [...]
-tree STATE_10000 [&lnP=-23798.475647749827] = [&R] ((9:[&rate=0.002587292552327461]81.29742222462428,(((((15:[&rate=0.0026602804977152025]21.090100877929007,(23:[&rate=0.0023075599540264783]17.7035654612959,(22:[&rate=0.0034480138517963745]15.079093688400201,17:[&rate=0.0022730306200335632]15.079093688400201):[&rate=0.002623546715670542]2.6244717728956974):[&rate=0.0029800247491623974]3.3865354166331088):[&rate=0.00220359811325661]15.11803368628745,((18:[&rate=0.0019081053726881265]27.79 [...]
-tree STATE_20000 [&lnP=-22805.468029114094] = [&R] (9:[&rate=0.001973721613397192]109.37266383291771,(((((((((11:[&rate=0.0021268438991882033]10.994337153481313,12:[&rate=0.0019615055367387954]10.994337153481313):[&rate=0.002029219389099665]18.93621301462366,(7:[&rate=0.0028332893029337394]21.376539476192505,13:[&rate=0.0018900333750611837]21.376539476192505):[&rate=0.002007926065619389]8.554010691912467):[&rate=0.0018900333750611837]4.827729539394369,(3:[&rate=0.002203311346256093]16.96 [...]
-tree STATE_30000 [&lnP=-22443.221371319945] = [&R] (9:[&rate=0.0015841470945638424]157.75007677339667,((14:[&rate=0.002696739850443594]93.18994023904179,((((((((11:[&rate=0.0021932262963005583]8.15449187544126,12:[&rate=0.002077775503850595]8.15449187544126):[&rate=0.001658757926633238]24.679296470612563,(7:[&rate=0.0025654122270598614]24.30442032890907,13:[&rate=0.0018115850694915225]24.30442032890907):[&rate=0.0017899345784732046]8.529368017144751):[&rate=0.0016894390842042315]6.393092 [...]
-tree STATE_40000 [&lnP=-22403.34423422354] = [&R] (9:[&rate=0.0029644229355470656]117.4054827309376,(33:[&rate=0.0024521766219901156]90.5537014031759,(((((16:[&rate=0.002465536986188385]36.549848474152796,((((11:[&rate=0.0026721988245245205]6.292961520267456,12:[&rate=0.002465536986188385]6.292961520267456):[&rate=0.0023963574361747205]18.791164043705834,(7:[&rate=0.003337811797269114]20.432466700417887,13:[&rate=0.0025175543361175747]20.432466700417887):[&rate=0.002645610758205654]4.651 [...]
-tree STATE_50000 [&lnP=-22327.71929086986] = [&R] (9:[&rate=0.0022395150296089634]126.15974930714476,((14:[&rate=0.00297167403399309]76.2142576718422,((((16:[&rate=0.0023626625528740523]36.511915421269514,(((3:[&rate=0.0023125645374332615]15.107432952090326,5:[&rate=0.0027654458481722903]15.107432952090326):[&rate=0.0023626625528740523]17.772328432043395,((11:[&rate=0.0028253548135480956]7.571134709204523,12:[&rate=0.002378781470657024]7.571134709204523):[&rate=0.002277176979159128]20.82 [...]
-tree STATE_60000 [&lnP=-22287.153051092297] = [&R] (9:[&rate=0.002958496987838825]124.56418651612026,((((((((23:[&rate=0.0027979144068101137]11.31861283681363,17:[&rate=0.002246654649477568]11.31861283681363):[&rate=0.0025076268331979405]12.019116965760515,(22:[&rate=0.003230282280223132]21.08035600936676,(24:[&rate=0.003438794701529451]14.15015821850061,((21:[&rate=0.00256578632521623]6.117300729913947,(20:[&rate=0.003277549629679835]4.043558769224742,19:[&rate=0.002642894978876736]4.04 [...]
-tree STATE_70000 [&lnP=-22270.30664008203] = [&R] (9:[&rate=0.003818171114823852]95.85024416463715,(33:[&rate=0.0034854440834527233]73.97607967127202,(14:[&rate=0.0037225099672688606]64.44656368938307,(((((((23:[&rate=0.0034204555907127463]9.027207085785982,17:[&rate=0.0035364192336117275]9.027207085785982):[&rate=0.0034068815507448695]8.292645171130186,(24:[&rate=0.0036112575162542547]10.61821612579086,((19:[&rate=0.003699625917873131]2.867174600669231,(21:[&rate=0.0035903197550050023]2 [...]
-tree STATE_80000 [&lnP=-22212.920566991284] = [&R] (9:[&rate=0.0028906072961344055]126.14794341902932,((((((16:[&rate=0.002412795402659326]34.687861353341006,((8:[&rate=0.003361719184092607]21.882910305785682,10:[&rate=0.002727895617947268]21.882910305785682):[&rate=0.0036893445213264263]10.568537280705389,((3:[&rate=0.0033935558822111482]13.158822872488981,5:[&rate=0.0028300085271494484]13.158822872488981):[&rate=0.0025738227948206606]17.17577242082676,((11:[&rate=0.00230655037338062]6. [...]
-tree STATE_90000 [&lnP=-22218.230643840416] = [&R] (9:[&rate=0.002291647318917423]146.77005485244942,((14:[&rate=0.0031147493945619213]83.31355518895859,((((((18:[&rate=0.002742967031089654]25.145415445218514,(26:[&rate=0.0026932594630090434]14.566531774989539,25:[&rate=0.0030334672814004214]14.566531774989539):[&rate=0.002291647318917423]10.578883670228976):[&rate=0.0029598539208833996]4.822327361432123,(2:[&rate=0.003396961437084882]25.38769454697333,((1:[&rate=0.0024882949215091505]6. [...]
-tree STATE_100000 [&lnP=-22220.174921451224] = [&R] ((33:[&rate=0.0014618717701735822]140.08162797082414,(14:[&rate=0.0018892865434001645]114.05816691455738,((((((18:[&rate=0.0018636115370228115]31.02351575016931,(26:[&rate=0.002322477661202314]18.258036888417074,25:[&rate=0.002322477661202314]18.258036888417074):[&rate=0.0021709810795611066]12.765478861752236):[&rate=0.0023619984850281207]7.533117521350263,(2:[&rate=0.002322477661202314]34.37105456782485,((1:[&rate=0.002184048863692479] [...]
-tree STATE_110000 [&lnP=-22198.760340159693] = [&R] ((33:[&rate=0.0025528866552113733]102.71407937517,(14:[&rate=0.003172456564236317]82.00707886367954,(((((16:[&rate=0.0033975804778201666]25.613925925255685,(8:[&rate=0.004736045929507425]12.654517902274618,10:[&rate=0.004736045929507425]12.654517902274618):[&rate=0.003899245588771143]12.959408022981068):[&rate=0.0027013839600628716]3.4944065444440007,((3:[&rate=0.004074090808244449]8.95680158358202,5:[&rate=0.004074090808244449]8.956801 [...]
-tree STATE_120000 [&lnP=-22216.694826504354] = [&R] ((14:[&rate=0.002650015386118206]100.53265986885305,(((((16:[&rate=0.0025359822328770284]32.87664411010843,(((3:[&rate=0.002820059227303037]12.501431608986481,5:[&rate=0.0025359822328770284]12.501431608986481):[&rate=0.0032967550944477623]16.248508011185045,((11:[&rate=0.003246317862247342]6.444982595258955,12:[&rate=0.0029104857078926464]6.444982595258955):[&rate=0.0028717248115064766]18.145897620068034,(7:[&rate=0.0031448708585633143] [...]
-tree STATE_130000 [&lnP=-22217.334277745606] = [&R] ((33:[&rate=0.0022310795574612616]105.98594335127632,(14:[&rate=0.0023946087928769714]94.4599047783933,((((16:[&rate=0.002441172504916555]41.98484555515172,(((3:[&rate=0.0019971580683051772]16.379130047822176,5:[&rate=0.0025869843014017907]16.379130047822176):[&rate=0.0023184785600080552]19.462609513385853,((11:[&rate=0.002403892854476761]8.898199353229726,12:[&rate=0.0024991684016875478]8.898199353229726):[&rate=0.0022310795574612616]2 [...]
-tree STATE_140000 [&lnP=-22215.793737380256] = [&R] ((33:[&rate=0.002152908460442245]140.42905849380938,(14:[&rate=0.002541742198356325]112.33806805755354,((((((23:[&rate=0.002343316185209707]12.55615280526506,17:[&rate=0.002285698729925499]12.55615280526506):[&rate=0.0026491323974814013]13.909496783482872,(22:[&rate=0.0025655206200484847]24.73497628492939,(24:[&rate=0.0027212930835672253]16.828448477272133,(15:[&rate=0.001973542480901908]10.24392963899461,((20:[&rate=0.00245927645889955 [...]
-tree STATE_150000 [&lnP=-22211.141648074907] = [&R] ((33:[&rate=0.0033162264082199537]90.8645967106229,((((((8:[&rate=0.0033976131216234143]18.84690504987591,10:[&rate=0.003358661800434368]18.84690504987591):[&rate=0.0032553887152133305]11.288489800060233,(((3:[&rate=0.003358661800434368]11.283659415735181,5:[&rate=0.003262744325320284]11.283659415735181):[&rate=0.00350929969528222]15.758435838742743,((11:[&rate=0.0033082742015016833]6.240097358599602,12:[&rate=0.0031075628559107523]6.24 [...]
-tree STATE_160000 [&lnP=-22213.320025278495] = [&R] ((33:[&rate=0.0035157021892190626]73.215861171187,(14:[&rate=0.0033915399954290563]63.93668825484818,((((((8:[&rate=0.003753124753766342]16.100925145807775,10:[&rate=0.003148380896688705]16.100925145807775):[&rate=0.003602530517694449]11.973645062696296,((3:[&rate=0.003476816697825334]11.225621756137112,5:[&rate=0.003591002642078195]11.225621756137112):[&rate=0.0030168808096415495]15.217145995974338,((11:[&rate=0.0033915399954290563]6.5 [...]
-tree STATE_170000 [&lnP=-22218.592639736507] = [&R] ((33:[&rate=0.0023187563631270262]114.89217777296408,(((((((3:[&rate=0.002003058627496098]19.14518783743251,5:[&rate=0.0022737265336566998]19.14518783743251):[&rate=0.0023804682146822513]19.733808134042633,(7:[&rate=0.0026422709084548347]32.43925970416962,((11:[&rate=0.0024802713339847774]7.0150536164718496,12:[&rate=0.002902244072853671]7.0150536164718496):[&rate=0.0024627755807631897]17.785657198523644,13:[&rate=0.002229058996143988]2 [...]
-tree STATE_180000 [&lnP=-22225.6102525927] = [&R] (((33:[&rate=0.002195589525828242]119.14030017001468,((((((23:[&rate=0.0020857390487689915]13.273416862511308,17:[&rate=0.002240985142773187]13.273416862511308):[&rate=0.002234334735310431]15.890057220370501,((24:[&rate=0.0021690944636781192]18.38022718515574,(((20:[&rate=0.0022444427787333683]5.005839367994753,21:[&rate=0.0022311209790925246]5.005839367994753):[&rate=0.002141863629659682]1.316627933829741,19:[&rate=0.0021595467418212655] [...]
-tree STATE_190000 [&lnP=-22216.99059106544] = [&R] ((33:[&rate=0.0024121176594219303]113.71400761406589,(((((((23:[&rate=0.002443851173668381]12.82141288206584,17:[&rate=0.0023272135815478085]12.82141288206584):[&rate=0.0022586480453117936]12.117379194373122,((24:[&rate=0.0029009207763769904]14.638246550911228,(((20:[&rate=0.0021620776173843772]3.1112892263896312,21:[&rate=0.0022336495199034336]3.1112892263896312):[&rate=0.002454548965982883]2.4566025626178747,19:[&rate=0.002162077617384 [...]
-tree STATE_200000 [&lnP=-22217.073009285024] = [&R] (((14:[&rate=0.0027706900202125236]106.36674712300545,((((((23:[&rate=0.0025308683034001313]12.44314281455364,17:[&rate=0.0018072296804894348]12.44314281455364):[&rate=0.0019907435814274553]15.164300014136641,(22:[&rate=0.0023791752279916866]24.34694866173409,(15:[&rate=0.002358715743541939]15.280795569988147,(24:[&rate=0.0028375789258609915]13.4585160399611,(19:[&rate=0.0019676505805759476]3.982879009141336,(21:[&rate=0.002602981067108 [...]
-tree STATE_210000 [&lnP=-22227.808543064253] = [&R] (((((((((24:[&rate=0.0020679897535962276]17.470379122482715,((19:[&rate=0.0018451493023379428]3.922283998514288,(20:[&rate=0.001955583363794081]3.4547810108574217,21:[&rate=0.002103693426565171]3.4547810108574217):[&rate=0.002481727332572326]0.46750298765686615):[&rate=0.002291569391000023]9.289873522801024,15:[&rate=0.0022012298989772397]13.212157521315312):[&rate=0.002156312418152963]4.258221601167403):[&rate=0.002085983735712439]10.3 [...]
-tree STATE_220000 [&lnP=-22205.14956628116] = [&R] (((33:[&rate=0.0038503444481631528]61.24709780323468,(((((((3:[&rate=0.0035719146800461655]11.348244884147578,5:[&rate=0.0034600964033550505]11.348244884147578):[&rate=0.004424559690266329]12.084043567703839,((11:[&rate=0.0048945007310201415]2.968214390845333,12:[&rate=0.00541900240744392]2.968214390845333):[&rate=0.004001894254330058]15.764089744118522,(7:[&rate=0.004754544824518477]16.494160670985604,13:[&rate=0.002825133100086872]16.4 [...]
-tree STATE_230000 [&lnP=-22227.848892135095] = [&R] ((((((((8:[&rate=0.0025566017656347344]28.364390903195783,10:[&rate=0.0025529989535899985]28.364390903195783):[&rate=0.0025482484398040186]10.44128259602639,(((3:[&rate=0.002557515945345144]12.641393650167082,5:[&rate=0.00254644298166747]12.641393650167082):[&rate=0.0025497239261802174]19.929815765422312,((11:[&rate=0.002557843653828441]6.892755795007335,12:[&rate=0.0025585454359803132]6.892755795007335):[&rate=0.0025534838075066037]20. [...]
-tree STATE_240000 [&lnP=-22215.295930019507] = [&R] ((((((((((3:[&rate=0.0024114063560463405]17.04313222413649,5:[&rate=0.002314912144449185]17.04313222413649):[&rate=0.002314912144449185]20.53670255795878,((11:[&rate=0.003419120465196053]7.08263489411465,12:[&rate=0.0026376856664669735]7.08263489411465):[&rate=0.002427590331965292]24.545146111715486,(7:[&rate=0.002657628610687249]24.67608774254433,13:[&rate=0.0021617383759205346]24.67608774254433):[&rate=0.00279350616569777]6.9516932632 [...]
-tree STATE_250000 [&lnP=-22215.42462803647] = [&R] (9:[&rate=0.0037594364968165134]102.58619971390505,((14:[&rate=0.004329151487339889]62.82939207060808,(((((((23:[&rate=0.004355780862092784]7.514405813878033,17:[&rate=0.004942989786608167]7.514405813878033):[&rate=0.0033259137978919745]8.94168171931234,(22:[&rate=0.0038123812805459056]14.901384025606454,(24:[&rate=0.004277285738925216]8.583552048603366,((19:[&rate=0.003426779378461903]3.342888277429036,(20:[&rate=0.003888325786996666]3. [...]
-tree STATE_260000 [&lnP=-22208.660538139393] = [&R] (9:[&rate=0.0032243909543156948]105.77043363970056,(33:[&rate=0.0032243909543156948]82.36790888224718,(14:[&rate=0.003135233909393846]68.5075171171226,(((((22:[&rate=0.0030924285864175147]22.215670869550944,((23:[&rate=0.0028212521496309424]10.529896149794087,17:[&rate=0.0029676109952780933]10.529896149794087):[&rate=0.0030088815146496707]8.178757129435287,((15:[&rate=0.0030924285864175147]7.142244997564739,(21:[&rate=0.0028637966382108 [...]
-tree STATE_270000 [&lnP=-22224.654863471307] = [&R] (9:[&rate=0.002497175474698335]149.84617197431035,(33:[&rate=0.0022964553379171684]110.53645729691729,(14:[&rate=0.002658391754078189]86.68106008943766,((((16:[&rate=0.002394991942733317]44.80628835418556,(((3:[&rate=0.0028709369474891845]16.433667891950908,5:[&rate=0.0022213089707617283]16.433667891950908):[&rate=0.0026132633230010072]19.097943195172082,(7:[&rate=0.0026351550972565415]29.93849831551541,((11:[&rate=0.0025340937009354467 [...]
-tree STATE_280000 [&lnP=-22223.196763987675] = [&R] (9:[&rate=0.002935476125732373]114.19893119565387,(33:[&rate=0.0026610468462899555]90.20522789897831,(14:[&rate=0.002629448695287838]80.26453395765546,((((16:[&rate=0.0024348120979521656]37.133462880284746,(((3:[&rate=0.0019049645078592346]12.88801933004509,5:[&rate=0.0027453379394398697]12.88801933004509):[&rate=0.002763441356150118]20.75957436291793,(8:[&rate=0.0028013425355075273]18.2940370647684,10:[&rate=0.0036706562430703993]18.29 [...]
-tree STATE_290000 [&lnP=-22228.211042286388] = [&R] (9:[&rate=0.002210344295549751]153.71553276599016,((14:[&rate=0.001980382633813809]107.76173767551964,((((16:[&rate=0.0018364035640045645]49.30945458475419,(((3:[&rate=0.0022341619763982757]17.61421799212239,5:[&rate=0.002170058752612417]17.61421799212239):[&rate=0.0020903771133866096]23.469639032680718,((11:[&rate=0.0017619363839648514]7.922832617635707,12:[&rate=0.002021646406698469]7.922832617635707):[&rate=0.002119994014182057]28.42 [...]
-tree STATE_300000 [&lnP=-22216.109058854076] = [&R] (9:[&rate=0.002263433936857291]147.2235951442027,(14:[&rate=0.0025466867681592084]109.20475797063983,((((((8:[&rate=0.0025733659091911826]25.78031952038859,10:[&rate=0.0025336338498303623]25.78031952038859):[&rate=0.002832273037858825]14.02842612313243,((3:[&rate=0.0019177259874135104]20.023853745511946,5:[&rate=0.002201033387703482]20.023853745511946):[&rate=0.0027096890277344956]16.558269053965798,((11:[&rate=0.0029171703465245623]7.3 [...]
-tree STATE_310000 [&lnP=-22209.089393725848] = [&R] (9:[&rate=0.004002824217107025]87.52200847868252,(33:[&rate=0.003302313541138282]69.93334141247175,(14:[&rate=0.004635812555775996]59.05637334927789,(((((8:[&rate=0.004052215778526941]16.251071497596524,10:[&rate=0.0039567147790034955]16.251071497596524):[&rate=0.003717986686056745]11.512314605586461,((3:[&rate=0.0037551285651999415]10.824553866260818,5:[&rate=0.003302313541138282]10.824553866260818):[&rate=0.0036081897140625976]13.1631 [...]
-tree STATE_320000 [&lnP=-22211.324577535113] = [&R] (9:[&rate=0.003760574596957784]121.0014200837589,(33:[&rate=0.0022940184568047343]102.81217582466505,(((((((22:[&rate=0.002237702612424592]25.427792931378946,((15:[&rate=0.001708502720872506]11.486148544502473,(19:[&rate=0.0032877228251959037]3.881475080530376,(20:[&rate=0.0032504518600143598]2.4675040528658236,21:[&rate=0.002911812532776156]2.4675040528658236):[&rate=0.0026316896916557483]1.4139710276645525):[&rate=0.002959651460529089 [...]
-tree STATE_330000 [&lnP=-22221.762504759776] = [&R] (9:[&rate=0.002854538138488399]120.07426079800865,((33:[&rate=0.0029958709614649583]83.60414538570045,14:[&rate=0.002793901190464077]83.60414538570045):[&rate=0.003061830308748822]11.025018932248472,(((((22:[&rate=0.002494033094645822]24.05502693592182,((23:[&rate=0.003247488688435253]6.8336989685714356,17:[&rate=0.003348871149559326]6.8336989685714356):[&rate=0.0028704546592179464]15.142902772764081,((15:[&rate=0.002524909070289808]11. [...]
-tree STATE_340000 [&lnP=-22215.96067422495] = [&R] (9:[&rate=0.0036294116095136704]111.12981392001731,((33:[&rate=0.003091971771953279]68.81072985375968,14:[&rate=0.003056312277157044]68.81072985375968):[&rate=0.0035100809466775632]5.565697172987598,((((((23:[&rate=0.0035321538485815376]8.67675048175943,17:[&rate=0.0030196004820502603]8.67675048175943):[&rate=0.002941322995736869]12.515288192727155,(22:[&rate=0.0027716949698488955]18.035417185763595,((15:[&rate=0.003555005695629599]7.480 [...]
-tree STATE_350000 [&lnP=-22211.65733718958] = [&R] (9:[&rate=0.0029604239866502986]128.44940508548015,((14:[&rate=0.0030539959688720966]75.57301122365124,((((((23:[&rate=0.0031611199038086785]8.346785830980634,17:[&rate=0.003012875712813023]8.346785830980634):[&rate=0.0024625950869271757]12.468806803407839,(((15:[&rate=0.0031283370003504676]9.263992824285875,((19:[&rate=0.003512780827178205]2.7729812729136696,20:[&rate=0.003097501015445489]2.7729812729136696):[&rate=0.0031444536354718637 [...]
-tree STATE_360000 [&lnP=-22226.68157790626] = [&R] (9:[&rate=0.0024290758142819385]163.7157287536476,((14:[&rate=0.0024290758142819385]106.92147334407417,((((((23:[&rate=0.0017631930138312982]18.60239668191336,17:[&rate=0.0018899558149027239]18.60239668191336):[&rate=0.0020324542221829595]9.978938524618602,(22:[&rate=0.0023378372491542248]26.71201438512346,((15:[&rate=0.0024290758142819385]13.702586993431085,(21:[&rate=0.0019597255576636217]3.7663116008001665,(20:[&rate=0.002482574146701 [...]
-tree STATE_370000 [&lnP=-22206.47355370548] = [&R] (9:[&rate=0.0024454910627839544]127.99687053914681,((33:[&rate=0.0028429786333350705]78.4071305384393,((((16:[&rate=0.0027653165340474455]33.89838946475689,((((11:[&rate=0.00323790417700433]5.985626306746782,12:[&rate=0.0026145221463916694]5.985626306746782):[&rate=0.0028429786333350705]18.966804194515323,(7:[&rate=0.0033616585753011817]21.000379515339823,13:[&rate=0.0024454910627839544]21.000379515339823):[&rate=0.0035534547911435675]3. [...]
-tree STATE_380000 [&lnP=-22233.565617586475] = [&R] (9:[&rate=0.0014595811128089928]218.1894258284716,(((((((((23:[&rate=0.002028119623738656]11.93970752006327,17:[&rate=0.002642081540782292]11.93970752006327):[&rate=0.0024178163091714325]17.48930536614777,(22:[&rate=0.0016490925322420742]28.310521558851434,((15:[&rate=0.001729637285276902]11.423777462531957,(21:[&rate=0.0023730231894004954]3.230540821325229,(20:[&rate=0.0027001200374208545]1.6865815830824786,19:[&rate=0.0031660779291459 [...]
-tree STATE_390000 [&lnP=-22221.333116639584] = [&R] (9:[&rate=0.0025020078126158996]140.23732570406148,((14:[&rate=0.0027282775360986857]82.32041484528355,((((((8:[&rate=0.0027435320053300683]22.757662722307803,10:[&rate=0.00271353035046402]22.757662722307803):[&rate=0.00271353035046402]14.463708566013178,((3:[&rate=0.002478815810881562]12.74900401769898,5:[&rate=0.0023289239583834543]12.74900401769898):[&rate=0.0023428437771676955]23.160548132774878,((11:[&rate=0.0024904257112851004]6.6 [...]
-tree STATE_400000 [&lnP=-22216.745781299924] = [&R] (9:[&rate=0.002152163126230145]163.92535157961316,((14:[&rate=0.0021623669257549365]114.04493656771771,((((((18:[&rate=0.0023139326917238218]31.18126989667569,(26:[&rate=0.002379346832252043]18.873347433936047,25:[&rate=0.00257746468064091]18.873347433936047):[&rate=0.0022902675342128757]12.307922462739644):[&rate=0.0022565396784111538]7.254316101671915,(2:[&rate=0.0021828165761785963]33.62087901617594,((1:[&rate=0.0027768198335460484]7 [...]
-tree STATE_410000 [&lnP=-22219.538578929325] = [&R] (9:[&rate=0.002632500764524288]142.11127901871154,(33:[&rate=0.002260541540699198]106.91273199931467,(((((((3:[&rate=0.0025875011543849175]17.178574958696736,5:[&rate=0.001562411487333851]17.178574958696736):[&rate=0.002903361398094471]17.504709257169793,((11:[&rate=0.0020541510539929466]9.427010877486593,12:[&rate=0.0017793792524054392]9.427010877486593):[&rate=0.0021896680465119775]21.490372112996518,(7:[&rate=0.002423607058076795]26. [...]
-tree STATE_420000 [&lnP=-22218.320583949655] = [&R] (9:[&rate=0.002139631338973317]153.73700202782862,(14:[&rate=0.0024084254834461864]108.3802564099649,((((((8:[&rate=0.002912329601773311]24.55312041856651,10:[&rate=0.002620503655414562]24.55312041856651):[&rate=0.0029354667065767306]15.401658438790317,((3:[&rate=0.0024363309921108206]16.182896012699253,5:[&rate=0.002169443898522559]16.182896012699253):[&rate=0.002987151057841835]19.46294509617268,((11:[&rate=0.0024767390954147663]7.954 [...]
-tree STATE_430000 [&lnP=-22209.190190744877] = [&R] (9:[&rate=0.004221705828425102]89.27071975978346,((14:[&rate=0.003669291855473712]66.44767985059387,((((((18:[&rate=0.0032922463383381704]22.76672471482093,(26:[&rate=0.004668259788004618]12.107086714259646,25:[&rate=0.0034416721939272456]12.107086714259646):[&rate=0.0034188285792356938]10.659638000561285):[&rate=0.0032324786727469567]3.152213420766259,(2:[&rate=0.00348575031691197]20.44712605561893,((1:[&rate=0.004027641169039265]6.605 [...]
-tree STATE_440000 [&lnP=-22209.51221207074] = [&R] ((33:[&rate=0.002248002757444377]108.93513214842855,(14:[&rate=0.0024109505686581655]91.65248438034473,((((((18:[&rate=0.002310509550335723]27.89405188226948,(26:[&rate=0.0029783296651726045]14.543617302348752,25:[&rate=0.0030311024013039167]14.543617302348752):[&rate=0.0026982392442508165]13.350434579920728):[&rate=0.002510211711710358]5.086283764319866,(2:[&rate=0.0028031594896634022]29.69453521437394,((1:[&rate=0.0030311024013039167]7 [...]
-tree STATE_450000 [&lnP=-22217.77482781918] = [&R] ((33:[&rate=0.002129821967857161]122.03465061221355,(((((((18:[&rate=0.002303992911422396]32.56772693692885,(26:[&rate=0.0032817434424233603]15.382696411556598,25:[&rate=0.0031678384442020324]15.382696411556598):[&rate=0.002266768082822498]17.18503052537225):[&rate=0.002303992911422396]2.5298540065983133,(2:[&rate=0.0024661593934270382]27.692365744719506,((1:[&rate=0.0028043641495891737]9.080961631990368,6:[&rate=0.0017928369689776521]9. [...]
-tree STATE_460000 [&lnP=-22217.394610564297] = [&R] ((33:[&rate=0.002207885193856712]103.51990125340897,(14:[&rate=0.0030710033493150757]88.2140964938815,((((((18:[&rate=0.0023057386794222094]29.304087486258677,(26:[&rate=0.002952797819941438]17.08645498682275,25:[&rate=0.002290618454413313]17.08645498682275):[&rate=0.0023057386794222094]12.217632499435926):[&rate=0.0028437301888043992]3.8835608598588927,(2:[&rate=0.002610997182875965]28.9777512256239,((1:[&rate=0.0023057386794222094]8.1 [...]
-tree STATE_470000 [&lnP=-22218.701833701147] = [&R] ((33:[&rate=0.003636445999416438]65.9787134297128,((((((((8:[&rate=0.005862631028468843]11.756283791024762,10:[&rate=0.005090814995748244]11.756283791024762):[&rate=0.00598507149107092]9.628476367095525,(3:[&rate=0.004428621985672304]8.692533702537343,5:[&rate=0.0037002130895215516]8.692533702537343):[&rate=0.0040537299087411716]12.692226455582944):[&rate=0.003979920957801902]1.1184715474620752,((11:[&rate=0.004219323479321451]4.9784916 [...]
-tree STATE_480000 [&lnP=-22228.613557032284] = [&R] ((14:[&rate=0.002937956366790199]87.70983847444471,(33:[&rate=0.003129247284339269]83.60429198716761,((((((22:[&rate=0.0029985374681705057]19.43676084096768,(24:[&rate=0.0029493586091976194]12.867570261899555,((21:[&rate=0.002842271179639841]3.4205317394984216,(19:[&rate=0.0031365362825174835]2.4736591295868458,20:[&rate=0.003300360138993347]2.4736591295868458):[&rate=0.0033896275792688908]0.9468726099115758):[&rate=0.002970336947714183 [...]
-tree STATE_490000 [&lnP=-22215.470844317122] = [&R] ((33:[&rate=0.0018258791340983148]145.06334258052752,(14:[&rate=0.002032657724639782]114.70684597681624,(((((((11:[&rate=0.0018717022816151642]10.207135877220749,12:[&rate=0.0013237062376289092]10.207135877220749):[&rate=0.0024470687848107443]23.935674018328108,(7:[&rate=0.002187242949975405]29.69543273667076,13:[&rate=0.0018870779238144033]29.69543273667076):[&rate=0.002490006511410725]4.447377158878098):[&rate=0.002105341031048956]7.6 [...]
-tree STATE_500000 [&lnP=-22210.24034973055] = [&R] (9:[&rate=0.002754557943438197]114.84802320174346,(33:[&rate=0.00231221030973594]97.28197695156351,(14:[&rate=0.0029590967487755034]80.68480716558706,((((((23:[&rate=0.0017513363268880653]13.954183443121462,17:[&rate=0.002643312621282586]13.954183443121462):[&rate=0.0034790009427244444]7.413237027819701,(22:[&rate=0.003110219338864968]21.226674928197404,(24:[&rate=0.002754557943438197]12.665037799678611,(15:[&rate=0.0028212724154772113]8 [...]
-tree STATE_510000 [&lnP=-22230.589736936934] = [&R] (9:[&rate=0.0025939437634930765]147.08146940172418,(33:[&rate=0.002132051366453193]122.63255185923016,(14:[&rate=0.002519014466281653]109.2069771441825,(((((16:[&rate=0.002376881359655736]36.993835201605904,(8:[&rate=0.002488144874160917]23.464477623400423,10:[&rate=0.0025428282224169026]23.464477623400423):[&rate=0.0027357622278144124]13.529357578205481):[&rate=0.002526867283369716]0.8811513232245574,(((11:[&rate=0.0024958058907759333] [...]
-tree STATE_520000 [&lnP=-22225.191408776067] = [&R] (9:[&rate=0.0023843689258892524]158.18559011170404,(33:[&rate=0.002210075712366078]96.21129919182599,(14:[&rate=0.002918299403632904]84.50713834043655,(((((((18:[&rate=0.002261482100689157]31.030760798580367,(26:[&rate=0.002797757506185816]17.93840335809698,25:[&rate=0.002556926941652114]17.93840335809698):[&rate=0.002626982702116148]13.092357440483386):[&rate=0.00228761154319119]3.99247868899549,(2:[&rate=0.0021194511625145175]28.64382 [...]
-tree STATE_530000 [&lnP=-22218.035929522262] = [&R] (9:[&rate=0.0024548506012240607]161.34619422132184,(14:[&rate=0.0026369256644486875]104.97660619235506,(33:[&rate=0.0027228624471665602]92.72376577580735,((((((18:[&rate=0.0027531090453034863]29.050851197023658,(26:[&rate=0.002784572602416502]17.628008649412077,25:[&rate=0.002693563546898371]17.628008649412077):[&rate=0.002784572602416502]11.42284254761158):[&rate=0.0023424583728493065]7.1380023173021065,(2:[&rate=0.002784572602416502]2 [...]
-tree STATE_540000 [&lnP=-22223.726505165312] = [&R] (9:[&rate=0.0029427794259200067]138.81758204668924,(14:[&rate=0.002629678003674605]115.06404770173984,(33:[&rate=0.0027314434035892437]96.48346880747096,((((((18:[&rate=0.0029259885764263112]26.37176449120773,(26:[&rate=0.0031730444119045325]14.639918043620295,25:[&rate=0.0033683253861293487]14.639918043620295):[&rate=0.002715020910199745]11.731846447587436):[&rate=0.0031290177113168565]1.9841772841870338,(2:[&rate=0.0029597865111327835 [...]
-tree STATE_550000 [&lnP=-22221.454108893755] = [&R] (9:[&rate=0.0023277840518576894]151.2756964607012,(14:[&rate=0.0024324470665739654]102.74905812419455,(33:[&rate=0.002898519596032391]94.88159418396043,(((((8:[&rate=0.002704718531542261]23.34533684716554,10:[&rate=0.0024324470665739654]23.34533684716554):[&rate=0.002813376228512513]17.758414549592423,((3:[&rate=0.0022687572591706916]17.13438143519176,5:[&rate=0.0025417182591544623]17.13438143519176):[&rate=0.0023448446394579896]20.1144 [...]
-tree STATE_560000 [&lnP=-22219.383068006493] = [&R] (9:[&rate=0.002736979250782542]135.19094532445695,(33:[&rate=0.00282201793493959]102.5712073141336,(((((((18:[&rate=0.0030797439471539436]26.045526401045382,(26:[&rate=0.00282201793493959]15.192335421179065,25:[&rate=0.003037749143773631]15.192335421179065):[&rate=0.003057678878510871]10.853190979866318):[&rate=0.0028522294198971942]2.3973058247030465,(2:[&rate=0.002718407882058005]25.30267616201858,((1:[&rate=0.0027930475336175498]8.55 [...]
-tree STATE_570000 [&lnP=-22218.320341795337] = [&R] (9:[&rate=0.0029033090554138026]137.56386827576466,((((((((18:[&rate=0.002767000432830332]31.531096336108693,(26:[&rate=0.002952764421028371]16.3024262843136,25:[&rate=0.0029271668115650714]16.3024262843136):[&rate=0.00197074772350987]15.228670051795092):[&rate=0.0029033090554138026]2.9471137821749913,(2:[&rate=0.0029033090554138026]29.484060062748608,((1:[&rate=0.0026733688713048926]8.26257330745526,6:[&rate=0.00304458983974814]8.26257 [...]
-tree STATE_580000 [&lnP=-22216.74663004975] = [&R] (9:[&rate=0.0018200436953847896]161.07671684593183,((((((((18:[&rate=0.002207345267477675]29.87415895379925,(26:[&rate=0.00267430079467112]16.41978385526941,25:[&rate=0.002516490702108112]16.41978385526941):[&rate=0.002207345267477675]13.454375098529837):[&rate=0.002431468313656889]5.7860665015408905,(2:[&rate=0.0021977299522712547]30.433390784674994,((1:[&rate=0.002235358918810543]11.249230977941698,6:[&rate=0.002187935987663026]11.2492 [...]
-tree STATE_590000 [&lnP=-22213.176229331384] = [&R] (9:[&rate=0.0029970419750816146]120.74728943126784,(33:[&rate=0.0027509752156548066]94.11440708486444,(14:[&rate=0.0036418447293577625]74.64238936150652,((((((18:[&rate=0.0031168627551324]20.957224434704422,(26:[&rate=0.0031038214298184335]14.163553631916914,25:[&rate=0.003156092520029876]14.163553631916914):[&rate=0.0030244777424743904]6.793670802787508):[&rate=0.003077669599783657]4.774385646077853,(2:[&rate=0.003156092520029876]23.65 [...]
-tree STATE_600000 [&lnP=-22212.71518859828] = [&R] (9:[&rate=0.003395795731309661]98.68585331146588,(33:[&rate=0.003309774704822011]79.89545779428904,((((((((18:[&rate=0.0032924140341587613]21.13989423103386,(26:[&rate=0.004676034320726312]10.835659798120561,25:[&rate=0.0032031085756303117]10.835659798120561):[&rate=0.0035009005875396323]10.304234432913299):[&rate=0.0032394754611218437]2.727911438771372,(2:[&rate=0.003146047345515649]20.021105304764593,((1:[&rate=0.003447764836678317]5.0 [...]
-tree STATE_610000 [&lnP=-22204.859710368535] = [&R] (9:[&rate=0.0029741620193530615]123.84868453093033,((14:[&rate=0.003538569140002049]74.73113419510767,(((((8:[&rate=0.00305638739799555]23.899428406736682,10:[&rate=0.002548983851380211]23.899428406736682):[&rate=0.004109767491585379]9.994844861647891,(((3:[&rate=0.003538569140002049]9.968661416846826,5:[&rate=0.0034964013988389732]9.968661416846826):[&rate=0.0029542272954186264]20.388762093770907,((11:[&rate=0.0032423469016603624]6.578 [...]
-tree STATE_620000 [&lnP=-22212.10734174061] = [&R] ((9:[&rate=0.0034396522439967578]123.39500267767939,33:[&rate=0.0021349541362306428]123.39500267767939):[&rate=0.0036342951804247785]7.444378484891118,(((((((18:[&rate=0.0026038840268816205]28.112015793528066,(26:[&rate=0.002387670232406431]19.879021005257396,25:[&rate=0.0021092725277070965]19.879021005257396):[&rate=0.0029805896316964916]8.23299478827067):[&rate=0.0027913520884437298]8.53716351996804,(2:[&rate=0.0021857235650409286]28.9 [...]
-tree STATE_630000 [&lnP=-22213.758589233712] = [&R] (((14:[&rate=0.0034722466007164735]68.78021440850611,((((16:[&rate=0.003432893232069501]28.180243554550028,((8:[&rate=0.0036017356621674632]13.670416638824667,10:[&rate=0.00277458267660656]13.670416638824667):[&rate=0.0034722466007164735]13.241661001771439,((3:[&rate=0.002807020612761308]13.549086669567007,5:[&rate=0.0025119267741224296]13.549086669567007):[&rate=0.0033211585962317804]12.383239874058027,((11:[&rate=0.002939195030077637] [...]
-tree STATE_640000 [&lnP=-22205.88300242595] = [&R] (((14:[&rate=0.0037817761877430955]68.52834403113286,(((16:[&rate=0.0030074842731559756]34.22717281320857,((((22:[&rate=0.0037817761877430955]17.540412387711882,((15:[&rate=0.003049058351214427]9.36683207878859,((21:[&rate=0.0028360738591072616]2.8085544030809926,20:[&rate=0.00393080187219056]2.8085544030809926):[&rate=0.0030691495050515416]1.2948529047100665,19:[&rate=0.002736143847195708]4.103407307791059):[&rate=0.0035481699086062175] [...]
-tree STATE_650000 [&lnP=-22220.627154459267] = [&R] (((14:[&rate=0.0030578018715425427]89.23519597779531,((((16:[&rate=0.002650296853715757]39.91464314531966,((((11:[&rate=0.0035971202781590874]7.0929189607886345,12:[&rate=0.00183503331069774]7.0929189607886345):[&rate=0.002325836725594552]19.93465012723325,(7:[&rate=0.004141465303112889]19.124031488984343,13:[&rate=0.002325836725594552]19.124031488984343):[&rate=0.0018888979443784932]7.903537599037541):[&rate=0.0019769103759698457]9.996 [...]
-tree STATE_660000 [&lnP=-22215.57174149218] = [&R] (((14:[&rate=0.0028242605837789704]95.13734954414011,(((((((22:[&rate=0.0023657284056039125]24.665042009046182,((15:[&rate=0.0022595041909874193]12.203079768500928,(21:[&rate=0.0029903356338127772]5.291996275834368,(19:[&rate=0.0027634480282693586]3.8806614709151432,20:[&rate=0.002165194906398648]3.8806614709151432):[&rate=0.002165194906398648]1.4113348049192247):[&rate=0.003420000969120403]6.91108349266656):[&rate=0.002783737025244729]3 [...]
-tree STATE_670000 [&lnP=-22207.34754357909] = [&R] (((14:[&rate=0.0026609428989976497]89.62912180254973,33:[&rate=0.002764045985365311]89.62912180254973):[&rate=0.003304939456538356]9.471559555400162,((((((((15:[&rate=0.003372034731223461]8.458465680061298,((21:[&rate=0.0029253689663159754]2.8728400444414,20:[&rate=0.0024674142703128114]2.8728400444414):[&rate=0.0029996867274546205]0.7450751728873759,19:[&rate=0.002902785670611566]3.617915217328776):[&rate=0.0022459465036363006]4.8405504 [...]
-tree STATE_680000 [&lnP=-22212.620333136612] = [&R] (((14:[&rate=0.0029010396609041016]84.04239012735914,((((((8:[&rate=0.002747973225817531]19.516652859750042,10:[&rate=0.003113562626177873]19.516652859750042):[&rate=0.002202076983709005]19.77461257444431,(((11:[&rate=0.0023516592023705954]5.760577674900372,12:[&rate=0.0029010396609041016]5.760577674900372):[&rate=0.0022528729171085705]21.818085021618792,(7:[&rate=0.0028739508254217176]24.615570650353334,13:[&rate=0.0020881162772584797] [...]
-tree STATE_690000 [&lnP=-22221.616171241432] = [&R] (((14:[&rate=0.003380469503433678]79.17125415017209,((((((7:[&rate=0.003303902962005053]25.562948744947317,((11:[&rate=0.0025859222245349566]8.311544402176892,12:[&rate=0.0027800720869697922]8.311544402176892):[&rate=0.004095284434107435]13.236219471429965,13:[&rate=0.0028366133004653358]21.547763873606858):[&rate=0.0030930810791312815]4.015184871340459):[&rate=0.003151622826327202]5.526920466780986,((3:[&rate=0.0030001500180900573]11.5 [...]
-tree STATE_700000 [&lnP=-22213.74347106024] = [&R] ((33:[&rate=0.0025492699195959483]103.66292400860252,((((((((3:[&rate=0.0028141149616851126]12.910217168003795,5:[&rate=0.0028860080394079975]12.910217168003795):[&rate=0.0026070462281723903]16.538749026045934,((11:[&rate=0.0027394283221916474]5.9299998722029015,12:[&rate=0.003038827656342562]5.9299998722029015):[&rate=0.003067750804930418]18.976957030966354,(13:[&rate=0.002777426115542824]18.966946654919013,7:[&rate=0.002910099631346267 [...]
-tree STATE_710000 [&lnP=-22221.697303268378] = [&R] ((33:[&rate=0.0025117462294804117]108.53338084360358,((((((((3:[&rate=0.00311784270055826]14.130037927112472,5:[&rate=0.002637973024564146]14.130037927112472):[&rate=0.0028028948149832794]16.110551507911328,((7:[&rate=0.003726010495012994]18.615987319807598,13:[&rate=0.002727514877688708]18.615987319807598):[&rate=0.0034345866491057447]2.3540733271952305,(11:[&rate=0.002937917174885969]6.726779418843845,12:[&rate=0.0028983371776634846]6 [...]
-tree STATE_720000 [&lnP=-22211.99700800224] = [&R] ((33:[&rate=0.002262329088162653]96.1855724128769,(14:[&rate=0.0033535636494014024]76.49626943861377,(((((((3:[&rate=0.00282682472862826]13.714088426828694,5:[&rate=0.0024800633115829992]13.714088426828694):[&rate=0.002200858799048685]18.85346517963832,(8:[&rate=0.0035643192624027877]21.484862316403056,10:[&rate=0.0025428675925053316]21.484862316403056):[&rate=0.0024139738616057362]11.08269129006396):[&rate=0.0020363201103479754]2.733695 [...]
-tree STATE_730000 [&lnP=-22222.08243462933] = [&R] ((33:[&rate=0.0020746798171896036]123.7259428799053,((((((((((15:[&rate=0.002260612628444283]11.144500363924273,(19:[&rate=0.0022281216870054152]4.51531704329673,(20:[&rate=0.0025507849776424535]3.5468799953468313,21:[&rate=0.002377728851673691]3.5468799953468313):[&rate=0.0024029445714301044]0.9684370479498989):[&rate=0.0021469580687644815]6.629183320627543):[&rate=0.0020746798171896036]4.13117296053283,24:[&rate=0.002209405509975118]15 [...]
-tree STATE_740000 [&lnP=-22221.61367975397] = [&R] ((((((((((11:[&rate=0.003015785658816797]5.531278502758377,12:[&rate=0.002436571852843089]5.531278502758377):[&rate=0.002420912890686278]19.106151655767,13:[&rate=0.002544332038105954]24.637430158525376):[&rate=0.0031244888187104422]2.3035969394410323,7:[&rate=0.002005623376232835]26.94102709796641):[&rate=0.002436571852843089]9.798031702656775,((8:[&rate=0.0027054835786301666]21.184150662960306,10:[&rate=0.0022869145083313494]21.1841506 [...]
-tree STATE_750000 [&lnP=-22232.41263353742] = [&R] ((14:[&rate=0.002239580488247039]114.94773476311332,(33:[&rate=0.0024831112737602897]96.96673192685398,((((16:[&rate=0.0024694551585828202]40.49372726450659,(((((11:[&rate=0.0025264482839825277]7.750973222098498,12:[&rate=0.002360955808190004]7.750973222098498):[&rate=0.002416195446329413]17.714018337094725,13:[&rate=0.002252580356562498]25.464991559193223):[&rate=0.002416195446329413]3.490411741221127,7:[&rate=0.0021649760762333654]28.9 [...]
-tree STATE_760000 [&lnP=-22207.751841009096] = [&R] (9:[&rate=0.0022715489891943852]146.355775799299,((((((16:[&rate=0.0022478858712799456]35.47783767977414,((8:[&rate=0.0027577549935545956]19.78958589952805,10:[&rate=0.0032413924616281303]19.78958589952805):[&rate=0.003392702187685754]14.70606716633742,(((11:[&rate=0.0030360253078199166]5.706846873959149,12:[&rate=0.0024184526432131192]5.706846873959149):[&rate=0.0025684930630641986]21.312296905957467,(13:[&rate=0.0028847756400422276]22 [...]
-tree STATE_770000 [&lnP=-22202.70035911605] = [&R] (9:[&rate=0.004355951486661834]94.55803910405484,((33:[&rate=0.0033903984763156685]65.86596831070749,((((((18:[&rate=0.0033138050654715695]20.759834949382828,(26:[&rate=0.0036679180997144]11.622541190884762,25:[&rate=0.003836131647332792]11.622541190884762):[&rate=0.0026269695730202543]9.137293758498066):[&rate=0.004278356425317927]4.193309908991324,(2:[&rate=0.003604523977256956]20.47125405625631,((1:[&rate=0.004355951486661834]5.694468 [...]
-tree STATE_780000 [&lnP=-22213.095139652953] = [&R] (9:[&rate=0.0026126742504430658]145.71026883377237,(((((((8:[&rate=0.0031849753503976623]20.547765946941144,10:[&rate=0.0034989569690465103]20.547765946941144):[&rate=0.0034989569690465103]13.499694739722624,(((3:[&rate=0.003608505275559757]10.632249113982779,5:[&rate=0.003145917687388397]10.632249113982779):[&rate=0.0029932226412274793]18.86171190186954,((11:[&rate=0.0027816709871654275]7.140219303689029,12:[&rate=0.002631717024823741] [...]
-tree STATE_790000 [&lnP=-22214.616834128883] = [&R] (9:[&rate=0.003503942454510313]98.07820200061711,(33:[&rate=0.003421310823781727]74.58623898822964,(((((16:[&rate=0.003579406406395234]28.2134424555036,((8:[&rate=0.003475027250592252]16.336281150729263,10:[&rate=0.0035655991541304463]16.336281150729263):[&rate=0.0034692417769785692]10.552377605018421,((3:[&rate=0.003475027250592252]9.305132119765847,5:[&rate=0.0036183335966377852]9.305132119765847):[&rate=0.003261242827493226]15.451862 [...]
-tree STATE_800000 [&lnP=-22227.225113156783] = [&R] (9:[&rate=0.0018431781600041423]171.73385114161596,(((((((8:[&rate=0.0017195324068327033]30.349298727125724,10:[&rate=0.0021791493002408266]30.349298727125724):[&rate=0.0025265212947577728]15.237203653793923,(((3:[&rate=0.002365652052877306]18.031642281783704,5:[&rate=0.002108063079055209]18.031642281783704):[&rate=0.0021791493002408266]21.55714069430882,(((11:[&rate=0.0018264004342330128]7.599524872519377,12:[&rate=0.002166988914834636 [...]
-tree STATE_810000 [&lnP=-22220.902350913842] = [&R] (9:[&rate=0.002678733757263769]132.0864466140215,((((((16:[&rate=0.0023813420531844896]36.07084979910707,(((3:[&rate=0.002582432900480012]16.136103429326873,5:[&rate=0.002625561268027385]16.136103429326873):[&rate=0.0030735944777247996]13.467390517775879,((7:[&rate=0.0036832690360372963]18.76439264500809,13:[&rate=0.002625561268027385]18.76439264500809):[&rate=0.0032094920090648417]5.513594146328124,(11:[&rate=0.003509902461498102]6.704 [...]
-tree STATE_820000 [&lnP=-22228.054911464125] = [&R] (9:[&rate=0.0026580127451561204]125.5434632152601,((14:[&rate=0.0029932908466173674]87.67486366796736,(((((3:[&rate=0.002857427071076188]13.04529959096499,5:[&rate=0.0020809943769700147]13.04529959096499):[&rate=0.0021589556897728254]20.3005192941154,((7:[&rate=0.003764027290298212]20.949976234860067,13:[&rate=0.002461801386169315]20.949976234860067):[&rate=0.0021222894846786803]7.4360193133688455,(11:[&rate=0.0031273982483385507]6.4408 [...]
-tree STATE_830000 [&lnP=-22220.743115714682] = [&R] (33:[&rate=0.002030371370008717]115.55385549889407,((((((((18:[&rate=0.0029512625140845662]21.39522547238377,(26:[&rate=0.002927115208780239]15.233942344192462,25:[&rate=0.002879871744320461]15.233942344192462):[&rate=0.0036670388656973437]6.161283128191309):[&rate=0.0025639209467691578]8.07595679891298,(2:[&rate=0.002277269472881394]24.8872492342028,((1:[&rate=0.00278842874184144]8.928520511798887,6:[&rate=0.001875220668931838]8.928520 [...]
-tree STATE_840000 [&lnP=-22208.088416598926] = [&R] (9:[&rate=0.0021238552927772777]151.86091604249026,(((((16:[&rate=0.002998772183134493]34.193555737488126,((((18:[&rate=0.003153327569763512]23.591942276644897,(26:[&rate=0.0036935041964547177]14.52037396137304,25:[&rate=0.0031764055550910124]14.52037396137304):[&rate=0.003793292313502143]9.071568315271858):[&rate=0.003085897303702732]6.061894835152124,(2:[&rate=0.002734943238098869]26.22805372247372,((1:[&rate=0.004388493919754034]5.28 [...]
-tree STATE_850000 [&lnP=-22224.760644081252] = [&R] (9:[&rate=0.0018444028871751582]161.61877691683176,(14:[&rate=0.002217872275561991]114.70722703847778,(33:[&rate=0.002418033125429675]105.4666613135244,((((((((7:[&rate=0.0029996697003255328]23.34190137602063,13:[&rate=0.001978842821912068]23.34190137602063):[&rate=0.0020236676335484032]6.76770310668606,(11:[&rate=0.002418033125429675]9.221771321238233,12:[&rate=0.0017726812436614304]9.221771321238233):[&rate=0.0020236676335484032]20.88 [...]
-tree STATE_860000 [&lnP=-22215.988880914218] = [&R] (9:[&rate=0.0024424158011962546]151.44023425350147,((((((((18:[&rate=0.0026711210755763735]27.10107138931484,(26:[&rate=0.0029897376818069973]14.837748180705564,25:[&rate=0.0025071777184304954]14.837748180705564):[&rate=0.0023571467917514804]12.263323208609275):[&rate=0.0025978740472720795]8.376002919922662,(2:[&rate=0.0023571467917514804]32.34446096912763,((1:[&rate=0.002535941217210215]8.704740235425504,6:[&rate=0.0026090615553026435] [...]
-tree STATE_870000 [&lnP=-22217.44628197513] = [&R] (9:[&rate=0.002238400256359545]141.24678448128148,((33:[&rate=0.0027132946893986755]102.58003319495029,((((((18:[&rate=0.002596269964329745]28.88283962671715,(26:[&rate=0.0025456447914350418]16.43264630603878,25:[&rate=0.0026964308802966248]16.43264630603878):[&rate=0.0024003894949058534]12.45019332067837):[&rate=0.002730277031027132]4.410035894363048,(2:[&rate=0.002493565193149406]28.65867481535326,((1:[&rate=0.002238400256359545]7.3958 [...]
-tree STATE_880000 [&lnP=-22207.473657109484] = [&R] ((33:[&rate=0.0023978577929397163]96.86098960274124,(14:[&rate=0.004025576463921129]81.5191045983517,(((((8:[&rate=0.0041739556094286916]17.014788987257806,10:[&rate=0.0031664755856925728]17.014788987257806):[&rate=0.0029418964314561914]12.396219110119286,((7:[&rate=0.002795365350783594]24.389630932372167,(13:[&rate=0.002682943886088315]20.379482406586753,(11:[&rate=0.0029649247772336627]5.354521261322418,12:[&rate=0.0030550997273313557 [...]
-tree STATE_890000 [&lnP=-22233.46317281377] = [&R] (((((((((18:[&rate=0.0020268117064871556]35.85768982267346,(26:[&rate=0.0019546415066656318]24.181483853730125,25:[&rate=0.0018998510883870452]24.181483853730125):[&rate=0.002319871014888455]11.676205968943332):[&rate=0.002141763217290859]7.990819085774255,(2:[&rate=0.002160343466691744]34.15864860715553,((1:[&rate=0.002566714445140676]11.46833024982155,6:[&rate=0.001238904550056337]11.46833024982155):[&rate=0.0019407709768146607]17.5426 [...]
-tree STATE_900000 [&lnP=-22222.28844685189] = [&R] (((((((((((11:[&rate=0.0020273953889211826]8.171764473418076,12:[&rate=0.0022826011437489585]8.171764473418076):[&rate=0.002242619959058393]22.532207256230205,(13:[&rate=0.0021914867788294505]26.49718910070653,7:[&rate=0.00231982845237225]26.49718910070653):[&rate=0.0023478679468029273]4.206782628941749):[&rate=0.002179534671042643]5.266835152142512,(3:[&rate=0.002133263263380093]17.006388363963897,5:[&rate=0.002333407817722309]17.006388 [...]
-tree STATE_910000 [&lnP=-22207.789614454116] = [&R] (((((((((8:[&rate=0.0028569495750607587]18.98547318056926,10:[&rate=0.0033351480624429263]18.98547318056926):[&rate=0.00292215720616887]14.604553493055118,((3:[&rate=0.0025729458506816238]13.977809121822103,5:[&rate=0.0026405936707315646]13.977809121822103):[&rate=0.0027900061623968406]16.40736229552075,((7:[&rate=0.003071472371297849]22.914470038002904,13:[&rate=0.0022532033304038905]22.914470038002904):[&rate=0.002700336428632682]3.28 [...]
-tree STATE_920000 [&lnP=-22207.376551855035] = [&R] ((((((((((18:[&rate=0.002506603383677741]26.387254222743476,(26:[&rate=0.0032559533099406762]14.594476241865422,25:[&rate=0.002674825433461395]14.594476241865422):[&rate=0.0029789094806785487]11.792777980878054):[&rate=0.0020693300324190226]3.016212691164199,(2:[&rate=0.002915161943210021]22.291845635131672,((1:[&rate=0.0034326945421540786]6.041238598890651,6:[&rate=0.0029789094806785487]6.041238598890651):[&rate=0.002915161943210021]12 [...]
-tree STATE_930000 [&lnP=-22232.459434013905] = [&R] ((33:[&rate=0.0022487915015251157]104.20102579714644,(((((((8:[&rate=0.002563115841493142]22.37174398037147,10:[&rate=0.0024022884774494904]22.37174398037147):[&rate=0.002771598170520151]13.096959468769569,((3:[&rate=0.002646537252679117]14.121601183401255,5:[&rate=0.002494328006607744]14.121601183401255):[&rate=0.0025772080778119306]18.307549763410222,(7:[&rate=0.0023629000934216942]28.595919643034538,(13:[&rate=0.0024511353075187623]2 [...]
-tree STATE_940000 [&lnP=-22199.118603646566] = [&R] ((33:[&rate=0.0038448130223417663]75.79505697725418,(14:[&rate=0.003774896799134837]61.54930884179394,((((((18:[&rate=0.0033006037322471198]20.055237571757598,(26:[&rate=0.003510715767734296]13.553103180523788,25:[&rate=0.0033781714560199797]13.553103180523788):[&rate=0.004041620278976685]6.50213439123381):[&rate=0.004171032080401646]2.6837200991159165,(2:[&rate=0.0034950639270316056]19.260364089332004,((1:[&rate=0.0037100231136276236]5 [...]
-tree STATE_950000 [&lnP=-22217.292583525636] = [&R] ((((((16:[&rate=0.0024037228416024787]38.282738123068945,((((18:[&rate=0.0032554586547892425]20.859464516503287,(26:[&rate=0.003203665015500676]13.511636198677811,25:[&rate=0.003071964924860852]13.511636198677811):[&rate=0.002709366910291251]7.347828317825476):[&rate=0.0029429464891630418]6.339023652768972,(2:[&rate=0.002640028161762305]22.492137158369534,((1:[&rate=0.003313554935623533]8.162649969475577,6:[&rate=0.0023415057079184797]8 [...]
-tree STATE_960000 [&lnP=-22210.664677483765] = [&R] (((((((16:[&rate=0.0024830452152141075]40.007240740040004,((8:[&rate=0.0029120080463328015]21.69189353376558,10:[&rate=0.002823478763497979]21.69189353376558):[&rate=0.0025272244436209805]17.463368455303844,((7:[&rate=0.0028441265590319225]30.13930832562415,(13:[&rate=0.0019751546575531116]26.33168826380275,(11:[&rate=0.002888241984807421]8.382072723280809,12:[&rate=0.0020943393057872425]8.382072723280809):[&rate=0.0024977809331922034]1 [...]
-tree STATE_970000 [&lnP=-22215.775808218874] = [&R] (((14:[&rate=0.002620694368465951]88.23517062242456,((((16:[&rate=0.0024833268512927126]41.15423165653851,((8:[&rate=0.0025656849849018133]24.86904161810134,10:[&rate=0.0023965043063847273]24.86904161810134):[&rate=0.0029675737011079706]12.03334596730043,(((11:[&rate=0.00294305646487686]6.523160984006346,12:[&rate=0.002737463394035477]6.523160984006346):[&rate=0.0025656849849018133]17.784041629498912,(13:[&rate=0.002455186705652428]18.3 [...]
-tree STATE_980000 [&lnP=-22221.095620855474] = [&R] (((((((((((11:[&rate=0.0021906310985246777]7.926158307842666,12:[&rate=0.0017920031432307763]7.926158307842666):[&rate=0.002280650026360413]19.275864789538765,(13:[&rate=0.0019324657161414194]23.26098347573468,7:[&rate=0.002825135262715988]23.26098347573468):[&rate=0.00265485621617028]3.941039621646752):[&rate=0.002400926569675407]6.859812026224336,(3:[&rate=0.002280650026360413]15.162576248602882,5:[&rate=0.0025425326698304595]15.16257 [...]
-tree STATE_990000 [&lnP=-22212.085404868572] = [&R] ((33:[&rate=0.002543023899878182]91.72792779904103,(14:[&rate=0.003127150278728214]74.38171790434467,((((((8:[&rate=0.003458155251605374]24.04674658209703,10:[&rate=0.002641810002686132]24.04674658209703):[&rate=0.004177456708278905]8.410587689146752,(((11:[&rate=0.0024860804252994258]5.696351457243267,12:[&rate=0.0029854796333423444]5.696351457243267):[&rate=0.0030650261155023245]19.897944363081702,(13:[&rate=0.002420583983099965]21.56 [...]
-tree STATE_1000000 [&lnP=-22224.951181548564] = [&R] ((33:[&rate=0.001901444609344081]123.45634373697749,(((((((8:[&rate=0.0025570700334853836]25.07536688113865,10:[&rate=0.002735306082625947]25.07536688113865):[&rate=0.0025570700334853836]16.95148425185708,((7:[&rate=0.0025570700334853836]27.985920548783916,(13:[&rate=0.0026161605553414588]22.25349091552463,(11:[&rate=0.0021662069775439164]7.218545167730472,12:[&rate=0.002735306082625947]7.218545167730472):[&rate=0.0023250012224586337]1 [...]
-tree STATE_1010000 [&lnP=-22219.038717382897] = [&R] ((33:[&rate=0.0025063946406304566]107.51394672544033,(((((16:[&rate=0.002053961809392279]37.47182460183289,((8:[&rate=0.002747560340742578]26.195150418181026,10:[&rate=0.0023539388009019887]26.195150418181026):[&rate=0.0027055870721555404]9.839222016393865,((7:[&rate=0.002388160848571485]26.25880466897152,(13:[&rate=0.002113845784143693]24.397231410879527,(11:[&rate=0.0029300153360054394]4.811467664242415,12:[&rate=0.002950718611848009 [...]
-tree STATE_1020000 [&lnP=-22217.670200176042] = [&R] ((33:[&rate=0.0018613148599485943]111.2545081142623,(((((((18:[&rate=0.0021698396156976983]30.137270326485027,(26:[&rate=0.002271518591740879]19.08819895202065,25:[&rate=0.0023157022782201004]19.08819895202065):[&rate=0.0024731865774529115]11.049071374464376):[&rate=0.00181049302780006]6.994885108025333,(2:[&rate=0.002227224176457965]32.153733280157276,((1:[&rate=0.0022494556986007866]8.895224225486118,6:[&rate=0.0024872756252693265]8. [...]
-tree STATE_1030000 [&lnP=-22215.00132059364] = [&R] ((((((((((3:[&rate=0.0031494620626276466]13.36194750852715,5:[&rate=0.0022472958055692474]13.36194750852715):[&rate=0.002555860090284893]19.05346695441888,((7:[&rate=0.0034908741664094007]23.187282809942293,13:[&rate=0.0022472958055692474]23.187282809942293):[&rate=0.0023480761502916014]5.0722853473713485,(11:[&rate=0.0022742654104518116]6.3742105219842005,12:[&rate=0.002671090164279309]6.3742105219842005):[&rate=0.002370916897682825]21 [...]
-tree STATE_1040000 [&lnP=-22209.50394984119] = [&R] ((((((((((3:[&rate=0.0027151285927224525]16.822527350847935,5:[&rate=0.0023470211025588593]16.822527350847935):[&rate=0.0032830853712288556]15.855067362521488,((7:[&rate=0.002612966391479191]24.76619675688793,13:[&rate=0.002121686844867685]24.76619675688793):[&rate=0.0032499051037243164]2.043596582641829,(11:[&rate=0.0033585506337684423]6.676210330610536,12:[&rate=0.0032190235766425715]6.676210330610536):[&rate=0.00279956524172235]20.13 [...]
-tree STATE_1050000 [&lnP=-22235.6377919209] = [&R] (((33:[&rate=0.00246496784520375]93.79846687668962,(((16:[&rate=0.002355387379892502]44.988423038028444,((((18:[&rate=0.002453607222032684]31.502642701306073,(26:[&rate=0.002592444415440836]18.85587948383212,25:[&rate=0.0024029811781379052]18.85587948383212):[&rate=0.002187593393706106]12.646763217473953):[&rate=0.0025204373696504543]4.53430387779887,(2:[&rate=0.0024900787035592583]29.839298111765526,((1:[&rate=0.002497043180611244]8.005 [...]
-tree STATE_1060000 [&lnP=-22215.71627210204] = [&R] ((14:[&rate=0.0024758846216749284]101.34892380833871,(33:[&rate=0.0029871244459043723]94.10512229465037,((((16:[&rate=0.0022008353002113622]39.600392001975315,((8:[&rate=0.002712075197669664]23.579173391577115,10:[&rate=0.002305404024315504]23.579173391577115):[&rate=0.002754505361053672]13.968899983667818,(((7:[&rate=0.0026095634952380737]24.021849160529,13:[&rate=0.00254904117490015]24.021849160529):[&rate=0.0028344227257036357]2.8371 [...]
-tree STATE_1070000 [&lnP=-22207.551119331307] = [&R] ((33:[&rate=0.0024204905531972714]96.66731141446724,(14:[&rate=0.002598776184467774]83.02934833843688,((((16:[&rate=0.002499041257844095]36.394036345040064,(((3:[&rate=0.003309973296307814]11.081878518324908,5:[&rate=0.003122035184845244]11.081878518324908):[&rate=0.002649476812429155]18.05423758738859,(((11:[&rate=0.003034027301699556]6.233808972906679,12:[&rate=0.002868965617187473]6.233808972906679):[&rate=0.0035201937985466017]12.8 [...]
-tree STATE_1080000 [&lnP=-22221.262158359346] = [&R] (((((((((18:[&rate=0.002606103642748578]27.04865937651578,(26:[&rate=0.0032761573794555738]16.523259940206298,25:[&rate=0.003012995902766647]16.523259940206298):[&rate=0.002549493474875957]10.525399436309481):[&rate=0.0027270477027983454]5.996967474377975,(2:[&rate=0.002403036044611692]29.280582785903132,((1:[&rate=0.0029500430239666367]8.77712770581755,6:[&rate=0.002568172444202189]8.77712770581755):[&rate=0.0027487018934941325]17.902 [...]
-tree STATE_1090000 [&lnP=-22209.631437864224] = [&R] (((((((((18:[&rate=0.0029237524584788373]25.320424005970967,(26:[&rate=0.0031256369302010245]13.799909771117452,25:[&rate=0.0026757998777629166]13.799909771117452):[&rate=0.00262400359356259]11.520514234853515):[&rate=0.0025237205451744712]6.202263585203024,(2:[&rate=0.0023901066447589384]27.87564245940789,((1:[&rate=0.003209872235014728]7.166812020857647,6:[&rate=0.002880877669725518]7.166812020857647):[&rate=0.0026630554425682664]14. [...]
-tree STATE_1100000 [&lnP=-22235.12792572717] = [&R] ((((((((8:[&rate=0.00228717300923616]27.309413640022346,10:[&rate=0.0017682450809791074]27.309413640022346):[&rate=0.0021889217804985156]19.911987543814117,((3:[&rate=0.0022195983317735927]17.436923549568647,5:[&rate=0.0016181722607893987]17.436923549568647):[&rate=0.0017329510486323763]25.855349180983204,((7:[&rate=0.0023253285512107712]27.16139478939586,13:[&rate=0.0017682450809791074]27.16139478939586):[&rate=0.0023058000217393904]8. [...]
-tree STATE_1110000 [&lnP=-22207.051370219837] = [&R] ((14:[&rate=0.002258689973594426]114.41209262810445,(((((((18:[&rate=0.002542195901797187]30.788513219628516,(26:[&rate=0.0028853755132555716]15.562276281408915,25:[&rate=0.0026821740091985975]15.562276281408915):[&rate=0.0022310416541915816]15.226236938219602):[&rate=0.0020296889957180063]4.57509132391424,(2:[&rate=0.0023337372503613963]30.470268238752354,((1:[&rate=0.0026211619302099623]8.763328939037404,6:[&rate=0.002201252553055185 [...]
-tree STATE_1120000 [&lnP=-22224.027437875717] = [&R] (9:[&rate=0.003016702383522308]110.8577709624467,(33:[&rate=0.0030220657655082883]96.73051464398274,(((((((18:[&rate=0.002889054550833374]26.167023453376196,(26:[&rate=0.0030700716008532853]16.33094333286604,25:[&rate=0.002994777714827334]16.33094333286604):[&rate=0.002852751912621235]9.836080120510157):[&rate=0.0030810457268418277]4.981468065318513,(2:[&rate=0.002889054550833374]26.598145475195064,((1:[&rate=0.003000349884093558]7.731 [...]
-tree STATE_1130000 [&lnP=-22219.641376044045] = [&R] (9:[&rate=0.0034497359162750586]108.40041105665486,(33:[&rate=0.003015094594457187]78.21917142682406,(14:[&rate=0.0033585294868050983]69.78612027726902,(((((18:[&rate=0.0027715825527768684]23.728588240994792,(26:[&rate=0.0031154888578654194]13.175840659145424,25:[&rate=0.003075156767102906]13.175840659145424):[&rate=0.0030352239835016465]10.552747581849369):[&rate=0.002824855765190783]5.479001601041709,(2:[&rate=0.003025186388134167]23 [...]
-tree STATE_1140000 [&lnP=-22222.6028354862] = [&R] (9:[&rate=0.002639151353993908]141.02078056657732,(14:[&rate=0.0020964956268462553]102.92774757166401,(33:[&rate=0.0027481080342862036]88.1187747785868,((((((8:[&rate=0.0027097197110326487]23.01082424877269,10:[&rate=0.0023222994847188604]23.01082424877269):[&rate=0.002285857743148391]16.429427909161166,((3:[&rate=0.0026854643751655386]13.341488790918545,5:[&rate=0.002761584881198008]13.341488790918545):[&rate=0.0026167385419764862]20.83 [...]
-tree STATE_1150000 [&lnP=-22224.459271368778] = [&R] ((14:[&rate=0.001747305913164421]109.97556254869104,(33:[&rate=0.002451737240039789]95.48498895362847,(((((((18:[&rate=0.0025876432681234364]27.68129967032824,(26:[&rate=0.002661296681181817]18.911692257492465,25:[&rate=0.0024957842884451094]18.911692257492465):[&rate=0.0029287211879862143]8.769607412835775):[&rate=0.001896118030274661]7.670799995262573,(2:[&rate=0.002408533475739957]27.852729842358645,((1:[&rate=0.0031967479662433703] [...]
-tree STATE_1160000 [&lnP=-22222.68274773967] = [&R] (9:[&rate=0.002722473724191048]125.87563496220285,(33:[&rate=0.002806805272221685]97.08286667589253,(14:[&rate=0.0031072878183110563]82.65058555356391,((((16:[&rate=0.002708007867424961]35.384813751027934,(((3:[&rate=0.003240894486510487]12.884623975913,5:[&rate=0.0027436884075385842]12.884623975913):[&rate=0.0026855297173587573]16.40415607638281,((13:[&rate=0.0029432237032080647]18.79462297469537,7:[&rate=0.002626289561138295]18.794622 [...]
-tree STATE_1170000 [&lnP=-22214.706865270546] = [&R] (9:[&rate=0.0030631655562914323]123.48228001651965,(33:[&rate=0.0020931608906947833]107.38059931008674,(((((16:[&rate=0.002345796948163479]40.373490717578534,((3:[&rate=0.0019455185805259056]17.927912510604084,5:[&rate=0.0020640861636738667]17.927912510604084):[&rate=0.0027517981774007874]18.979339087963094,((13:[&rate=0.0018809121217570656]26.33677874006631,7:[&rate=0.002832866360660498]26.33677874006631):[&rate=0.001763697106416909]6 [...]
-tree STATE_1180000 [&lnP=-22218.146543606417] = [&R] (9:[&rate=0.002103267185398358]164.4445901031777,(33:[&rate=0.001600717428329877]127.00249638497097,(((((((18:[&rate=0.0023229106235153883]33.07254027561174,(26:[&rate=0.001960807603626218]19.896110515174314,25:[&rate=0.0018156659784358121]19.896110515174314):[&rate=0.0019944562141787406]13.17642976043743):[&rate=0.002171516971520284]6.3383645832942435,(2:[&rate=0.0019944562141787406]30.575621544367365,((1:[&rate=0.002220960641356102]1 [...]
-tree STATE_1190000 [&lnP=-22219.822673891813] = [&R] (9:[&rate=0.0023773993588878887]138.54444060638207,(33:[&rate=0.0019572126503885046]105.57660606361523,((((((((18:[&rate=0.002756679137913557]25.07851720630596,(26:[&rate=0.00331445864208674]12.447495109515291,25:[&rate=0.0036458302341954595]12.447495109515291):[&rate=0.0025315061353361206]12.63102209679067):[&rate=0.00331445864208674]5.5175449771121485,(2:[&rate=0.0029083360376038567]27.45444692853708,((1:[&rate=0.0032049536336685525] [...]
-tree STATE_1200000 [&lnP=-22222.432556940275] = [&R] (9:[&rate=0.0019371096509093685]197.92032367452106,((33:[&rate=0.0023478150345815603]107.54624908644017,(((((((8:[&rate=0.0024162402074246496]24.828931108264985,10:[&rate=0.0023051874677637615]24.828931108264985):[&rate=0.002436582360995773]17.00894567914872,(3:[&rate=0.0019729307163247754]18.196677858362683,5:[&rate=0.002127604529671533]18.196677858362683):[&rate=0.002047713152897067]23.641198929051022):[&rate=0.0019371096509093685]2. [...]
-tree STATE_1210000 [&lnP=-22213.671793003457] = [&R] (9:[&rate=0.0027379651081162106]147.11166733139856,((33:[&rate=0.003251899815295765]88.45095032946452,(((((((3:[&rate=0.003851900664833477]11.857399209402605,5:[&rate=0.0026344411799542446]11.857399209402605):[&rate=0.0026178618537528037]17.905014134552403,((13:[&rate=0.0025362064003259643]19.415591143766232,7:[&rate=0.0034657593298756282]19.415591143766232):[&rate=0.0028755155342505816]6.353763183430299,(11:[&rate=0.002685153863706902 [...]
-tree STATE_1220000 [&lnP=-22218.960196713535] = [&R] (((((((((((((19:[&rate=0.0025381847825420344]2.108080517103887,20:[&rate=0.003611126138319179]2.108080517103887):[&rate=0.00296969010039156]2.4690836247066903,21:[&rate=0.002381786485214266]4.577164141810577):[&rate=0.0026772611122089307]4.629380922106774,15:[&rate=0.0026772611122089307]9.206545063917352):[&rate=0.00314538231788997]2.785972751658809,24:[&rate=0.0030615761946172094]11.99251781557616):[&rate=0.0030369125910540353]10.0282 [...]
-tree STATE_1230000 [&lnP=-22214.581892348106] = [&R] (((33:[&rate=0.002337178312794517]108.53207587611287,((((((22:[&rate=0.0022901218686661095]28.484261100455402,((((21:[&rate=0.0021561746540594783]3.300523126992434,20:[&rate=0.0018896928373765927]3.300523126992434):[&rate=0.0019695439560506478]1.317992204204392,19:[&rate=0.0022059262959332124]4.618515331196826):[&rate=0.002236484927547205]6.7871870639811105,15:[&rate=0.0022160212546727368]11.405702395177936):[&rate=0.002042766117721969 [...]
-tree STATE_1240000 [&lnP=-22223.626606888545] = [&R] (((14:[&rate=0.0020361374410669112]120.05036731702926,((((((23:[&rate=0.001734947664260463]14.391147949125841,17:[&rate=0.0019198706879089923]14.391147949125841):[&rate=0.002407138894208072]13.258788005065153,(22:[&rate=0.0020791223845424106]27.09696306040332,((((21:[&rate=0.001758676635533266]2.7926297640221693,20:[&rate=0.0022050333693764868]2.7926297640221693):[&rate=0.002183071918011883]0.20292443960573747,19:[&rate=0.0021238936769 [...]
-tree STATE_1250000 [&lnP=-22212.98947900918] = [&R] (((((((((22:[&rate=0.0032861035740857068]19.073667362711088,((15:[&rate=0.002770282686216776]7.515524164371948,(21:[&rate=0.00311265155668396]3.4444663892582996,(19:[&rate=0.0028155040801495926]1.4143087676974095,20:[&rate=0.0035008602934636134]1.4143087676974095):[&rate=0.003146753696608289]2.03015762156089):[&rate=0.0023044756694776394]4.0710577751136485):[&rate=0.003335397430300444]5.847124089693343,24:[&rate=0.002974243876243369]13. [...]
-tree STATE_1260000 [&lnP=-22227.056769044408] = [&R] (((33:[&rate=0.0027358274253450497]91.54936084138502,14:[&rate=0.002782963703590252]91.54936084138502):[&rate=0.0028095503825520804]5.488163532311802,((((((24:[&rate=0.0027623815708090397]13.31429762601947,(((21:[&rate=0.002750199902452722]3.3865498956647504,20:[&rate=0.0026792787997311097]3.3865498956647504):[&rate=0.0027415017124095362]0.5174425866062582,19:[&rate=0.0026925279809254313]3.9039924822710086):[&rate=0.0027046618777889575 [...]
-tree STATE_1270000 [&lnP=-22210.088603618584] = [&R] (((14:[&rate=0.003315774103169511]77.72300291007676,((((((22:[&rate=0.0027081171904970013]24.662307525824914,(24:[&rate=0.00229525753805451]16.43501670573635,(((21:[&rate=0.002633911216032921]3.3293293703943414,20:[&rate=0.0022080735124957373]3.3293293703943414):[&rate=0.003063465372981722]0.3505062828122072,19:[&rate=0.0018073591561707093]3.6798356532065486):[&rate=0.002391421472483477]9.850176543384936,15:[&rate=0.002128181953161761] [...]
-tree STATE_1280000 [&lnP=-22218.472430786882] = [&R] (((14:[&rate=0.0028398311439604626]92.83228049384894,((((16:[&rate=0.00260795068701308]39.5903396144824,((((15:[&rate=0.0026829182813066666]13.067557895303299,(24:[&rate=0.002981614541450676]11.744308909988986,((21:[&rate=0.0029046133513874473]3.3334417752111585,20:[&rate=0.0022587502820789374]3.3334417752111585):[&rate=0.002981614541450676]0.40003742881833126,19:[&rate=0.0031212519348813076]3.7334792040294897):[&rate=0.002239204985947 [...]
-tree STATE_1290000 [&lnP=-22213.926075349016] = [&R] ((9:[&rate=0.0029541815991642735]136.7467271099451,(((((((23:[&rate=0.0018245238614400638]14.379442749203339,17:[&rate=0.0019517124143922171]14.379442749203339):[&rate=0.0020626841894087473]15.146944275032627,((24:[&rate=0.002433755037943107]15.687387792731979,(15:[&rate=0.0024778741874496744]9.373868336525765,(19:[&rate=0.0018912522631647274]4.9942774711479,(20:[&rate=0.003020048968622363]2.6317024664245317,21:[&rate=0.002524917286830 [...]
-tree STATE_1300000 [&lnP=-22221.246350668822] = [&R] ((33:[&rate=0.0024677507398888103]107.26698494382512,((((((8:[&rate=0.003474523401837703]20.417382854116294,10:[&rate=0.0028507035236395237]20.417382854116294):[&rate=0.002822681006028718]16.147681966246925,(((13:[&rate=0.0024477189744913906]21.806764367815923,7:[&rate=0.0030241544627006216]21.806764367815923):[&rate=0.0031505288500267925]5.151798117009097,(11:[&rate=0.0027679229372363397]7.11335418617473,12:[&rate=0.002740839852624292 [...]
-tree STATE_1310000 [&lnP=-22214.36789545236] = [&R] ((33:[&rate=0.002572101560794949]88.22644482459253,(14:[&rate=0.0030712461791319885]73.36372465090327,(((((((24:[&rate=0.0029035648468784658]11.272270664092142,(((20:[&rate=0.002945906591250871]2.44361395026271,21:[&rate=0.002704936873605999]2.44361395026271):[&rate=0.0030712461791319885]1.2958935185687794,19:[&rate=0.0026296266823629872]3.7395074688314893):[&rate=0.003713747037949297]6.238769146343762,15:[&rate=0.003271271775884195]9.9 [...]
-tree STATE_1320000 [&lnP=-22216.561037810712] = [&R] (((14:[&rate=0.0021894910069029452]102.4958215758272,(((((((24:[&rate=0.002211296822580198]17.710949693516298,(((20:[&rate=0.00238807408126164]3.605108144842532,21:[&rate=0.0018677625895260374]3.605108144842532):[&rate=0.0022343568746432583]0.7554582588974776,19:[&rate=0.0022590275755134956]4.36056640374001):[&rate=0.0023001812900013915]9.4864957182633,15:[&rate=0.0021789713499959563]13.847062122003308):[&rate=0.002054517959417031]3.86 [...]
-tree STATE_1330000 [&lnP=-22209.84545558918] = [&R] (((14:[&rate=0.0034870678340844044]66.3148264627781,(((((((3:[&rate=0.003804167576163831]10.984248920051023,5:[&rate=0.0032175726750123907]10.984248920051023):[&rate=0.003466785712128978]16.005512199767995,((13:[&rate=0.003035990060634358]18.975912830075472,(11:[&rate=0.0038362903972160548]5.784781107695861,12:[&rate=0.0031984307292737754]5.784781107695861):[&rate=0.0036412121531868833]13.191131722379613):[&rate=0.003159643089467964]2.9 [...]
-tree STATE_1340000 [&lnP=-22212.815236765906] = [&R] (((((((((24:[&rate=0.0022615832573597283]16.344638517056026,(15:[&rate=0.0028517134687706938]12.22854867120325,((19:[&rate=0.002592246745134654]4.948736987164158,20:[&rate=0.0019696025078837073]4.948736987164158):[&rate=0.0022615832573597283]1.7626391660601302,21:[&rate=0.0016955402243701689]6.711376153224288):[&rate=0.003208363547693471]5.5171725179789615):[&rate=0.002450057332983472]4.116089845852777):[&rate=0.0022091640801305086]9.4 [...]
-tree STATE_1350000 [&lnP=-22210.7163854572] = [&R] (((((((16:[&rate=0.003351389859333611]30.37187791864371,(((3:[&rate=0.0036652185861990446]10.293258555711683,5:[&rate=0.003265456195384354]10.293258555711683):[&rate=0.00307882241475903]14.764211365352283,((13:[&rate=0.0032792330539063753]16.328745414843233,(11:[&rate=0.003952045653349526]4.786184793083152,12:[&rate=0.003132513112305946]4.786184793083152):[&rate=0.0034688003514373586]11.542560621760082):[&rate=0.0030511262715157807]6.117 [...]
-tree STATE_1360000 [&lnP=-22213.718890448745] = [&R] ((((((((((24:[&rate=0.003128905283813689]14.46510803125743,(15:[&rate=0.0029421595565251816]11.882551083036867,(19:[&rate=0.003144713411331306]4.4995212633906565,(21:[&rate=0.0033846226025162824]2.856249087386351,20:[&rate=0.0025713799950348466]2.856249087386351):[&rate=0.0031608933513427224]1.6432721760043054):[&rate=0.002814627627125256]7.383029819646211):[&rate=0.0026423799080548017]2.582556948220562):[&rate=0.0033341569455463066]7. [...]
-tree STATE_1370000 [&lnP=-22210.966558708507] = [&R] ((33:[&rate=0.0022200719293338682]111.35124388357323,(((((((23:[&rate=0.001963321583937342]13.88340773598166,17:[&rate=0.002241719639666918]13.88340773598166):[&rate=0.0024067061474182605]12.663062891739944,((24:[&rate=0.003353224679281429]15.310403317170822,(15:[&rate=0.002570964407507297]10.849035394826094,(21:[&rate=0.0029801740941898434]4.360367177653969,(20:[&rate=0.0029160196658857603]3.090040809863682,19:[&rate=0.002857466311508 [...]
-tree STATE_1380000 [&lnP=-22212.44789763194] = [&R] ((9:[&rate=0.003760689354920353]117.09383447279535,33:[&rate=0.0018109732046892896]117.09383447279535):[&rate=0.0018109732046892896]0.5824627851999225,(14:[&rate=0.0029030685553513486]90.97583953404282,(((((22:[&rate=0.0025519355738324668]22.605265449308007,((24:[&rate=0.0030270686277282773]16.67935457362274,(15:[&rate=0.0022498689294771913]12.93299066811399,(19:[&rate=0.002024229936917385]3.1948784520054505,(21:[&rate=0.003174498126265 [...]
-tree STATE_1390000 [&lnP=-22207.067500917165] = [&R] (((14:[&rate=0.004168908679039305]76.95775999304286,((((((23:[&rate=0.0027431723466189656]12.793851583199423,17:[&rate=0.00291955931329245]12.793851583199423):[&rate=0.0026539470971041713]11.378416032815089,((24:[&rate=0.0025488165074275424]14.003581532101935,(15:[&rate=0.002763995170913595]12.334248702632088,((21:[&rate=0.003721909360413335]3.200737764803349,20:[&rate=0.0035173999937591757]3.200737764803349):[&rate=0.00303183991813576 [...]
-tree STATE_1400000 [&lnP=-22214.638494003637] = [&R] (((((((16:[&rate=0.0024027206272236373]35.16413620607719,((8:[&rate=0.003445353010580956]21.028679820339796,10:[&rate=0.002934104302720685]21.028679820339796):[&rate=0.003361082500655224]13.967999813765175,((((11:[&rate=0.0030838563675911483]5.005055932485996,12:[&rate=0.003593694788449703]5.005055932485996):[&rate=0.0029920768379079012]17.225770195804753,13:[&rate=0.002482261504837261]22.230826128290747):[&rate=0.0032277758436706195]4 [...]
-tree STATE_1410000 [&lnP=-22201.818204933297] = [&R] (((((((((8:[&rate=0.004104279101535381]16.393787827101683,10:[&rate=0.003276623650148705]16.393787827101683):[&rate=0.003425386217285503]15.028391975419222,(((7:[&rate=0.003933162104357965]15.35565697285669,13:[&rate=0.0031131277845120207]15.35565697285669):[&rate=0.0025594311952388377]6.012047806937904,(11:[&rate=0.004494024254682457]4.225321671070383,12:[&rate=0.0031362801636495795]4.225321671070383):[&rate=0.00318264416829404]17.142 [...]
-tree STATE_1420000 [&lnP=-22224.81945863889] = [&R] (9:[&rate=0.0025967719631623445]126.40397652169078,(33:[&rate=0.00225610296376633]102.46925579528849,(((((((22:[&rate=0.002696399232749091]21.745275954410438,(((19:[&rate=0.0022224046089340827]3.975919821534841,(21:[&rate=0.002383211462520412]2.1012798984925833,20:[&rate=0.00248300878053394]2.1012798984925833):[&rate=0.0021640134132377893]1.8746399230422575):[&rate=0.0026101286684960985]8.1147868665076,15:[&rate=0.0018536456691721109]12 [...]
-tree STATE_1430000 [&lnP=-22212.704989579663] = [&R] (9:[&rate=0.0025510740587710405]141.99138820666886,((((((16:[&rate=0.0026826260102671634]35.6190118796021,((8:[&rate=0.002737305494063892]19.194144145639893,10:[&rate=0.0028861995047116773]19.194144145639893):[&rate=0.003768356802725197]13.373650835842863,(((7:[&rate=0.002400909877511586]21.739872389829443,13:[&rate=0.0020825658798581128]21.739872389829443):[&rate=0.002490338362211426]5.447403572293474,(11:[&rate=0.0029254362219894884] [...]
-tree STATE_1440000 [&lnP=-22226.971482629953] = [&R] (9:[&rate=0.0025432704123632315]148.44269968071544,((14:[&rate=0.0027821378346483613]85.2412673057709,((((((((11:[&rate=0.0026260040211991322]7.778069975365698,12:[&rate=0.0022900134393383617]7.778069975365698):[&rate=0.0024582952054154937]16.580649808445635,13:[&rate=0.0021933598919845693]24.358719783811335):[&rate=0.0022900134393383617]6.153579389133569,7:[&rate=0.0023268386407376334]30.512299172944903):[&rate=0.0027821378346483613]7 [...]
-tree STATE_1450000 [&lnP=-22224.732998390726] = [&R] (9:[&rate=0.0022866005957760563]162.7712502766177,(33:[&rate=0.002339664288196603]118.86343094941373,(14:[&rate=0.0025923411836459276]104.05233532982086,((((((8:[&rate=0.0024133782669345026]27.65953723470724,10:[&rate=0.002230314962832215]27.65953723470724):[&rate=0.0024245039643991844]13.771606861765061,(((7:[&rate=0.002115775638577745]27.528382868464558,13:[&rate=0.0020063817436762727]27.528382868464558):[&rate=0.002339664288196603]3 [...]
-tree STATE_1460000 [&lnP=-22206.903521059092] = [&R] (9:[&rate=0.004344445141859469]88.26566573999173,((14:[&rate=0.003967427059984181]62.4544069672158,(((((((((11:[&rate=0.0041808013905020695]4.651402592158112,12:[&rate=0.0033779324328622714]4.651402592158112):[&rate=0.005288415855560982]10.030102826685866,13:[&rate=0.003533521126535763]14.681505418843978):[&rate=0.0034010058557260754]3.247217001434864,7:[&rate=0.004450167921336432]17.92872242027884):[&rate=0.004113122215513828]3.040822 [...]
-tree STATE_1470000 [&lnP=-22226.149242217336] = [&R] (9:[&rate=0.0026890337813284017]144.4724043625765,(33:[&rate=0.0028116126002164926]107.9023841137247,(14:[&rate=0.0027266567094098512]97.17132415336104,((((16:[&rate=0.0022384980835585024]40.530688218907784,((((7:[&rate=0.002619149459984718]26.87465677841422,13:[&rate=0.0026697917176099597]26.87465677841422):[&rate=0.0028953045904406708]2.1547317497992324,(11:[&rate=0.003019915066481107]4.65775814742229,12:[&rate=0.002944335320575469]4 [...]
-tree STATE_1480000 [&lnP=-22216.256991910792] = [&R] (9:[&rate=0.0018920188088737417]176.4173041328154,((14:[&rate=0.0023570893091035437]100.67870114159348,33:[&rate=0.002693450628904741]100.67870114159348):[&rate=0.0023767708063952477]13.7684812725699,(((((((23:[&rate=0.0019252136669269824]15.247752371573005,17:[&rate=0.002196446807932422]15.247752371573005):[&rate=0.0023767708063952477]11.526844302450735,((15:[&rate=0.002131944184796468]14.696157021233313,(19:[&rate=0.00344173098009120 [...]
-tree STATE_1490000 [&lnP=-22215.810721081925] = [&R] (9:[&rate=0.003555696167356009]110.79437514535313,(33:[&rate=0.002366410516406826]89.47028845690674,((((((8:[&rate=0.0034404934352122306]20.59987282807,10:[&rate=0.0029687869370659285]20.59987282807):[&rate=0.002908505727576321]13.49413426909489,(16:[&rate=0.0028934239716513436]33.010318926288996,((3:[&rate=0.003199829393109433]10.720895440216383,5:[&rate=0.0034404934352122306]10.720895440216383):[&rate=0.003199829393109433]17.09473839 [...]
-tree STATE_1500000 [&lnP=-22218.432691949183] = [&R] (9:[&rate=0.002381707295318723]166.89564550006153,((14:[&rate=0.0025770779119511167]105.33138263219024,(((16:[&rate=0.002040108951945609]40.02071222007906,((((22:[&rate=0.002445596208844468]26.651268533356,(((15:[&rate=0.0027693120670091737]9.897778586015331,((19:[&rate=0.002706025682693658]4.396524902847496,21:[&rate=0.0027474716560738147]4.396524902847496):[&rate=0.002648264801034154]0.4150740228872305,20:[&rate=0.0020660233964442903 [...]
-tree STATE_1510000 [&lnP=-22209.348431582126] = [&R] ((33:[&rate=0.0024615784324679294]103.13123692585914,(((((16:[&rate=0.0024615784324679294]38.08926369985782,(((8:[&rate=0.0032364820270225263]20.72258307708947,10:[&rate=0.0027709072404240487]20.72258307708947):[&rate=0.002869456706629654]12.599929538749539,(3:[&rate=0.0029258148628790353]13.600665147204168,5:[&rate=0.002598774254819416]13.600665147204168):[&rate=0.002713781407898465]19.72184746863484):[&rate=0.003192970769260186]1.545 [...]
-tree STATE_1520000 [&lnP=-22222.742786383737] = [&R] ((33:[&rate=0.0026442468478500005]107.40945687829469,((((((((11:[&rate=0.0022514083645782754]8.575895140036172,12:[&rate=0.0027370479502898857]8.575895140036172):[&rate=0.0026597436695699585]17.131499197435225,(13:[&rate=0.002309971343176942]22.305071707396262,7:[&rate=0.0031088153958099512]22.305071707396262):[&rate=0.0027683374149691698]3.402322630075137):[&rate=0.002690627966129228]5.377660030825634,(3:[&rate=0.002581270937560241]16 [...]
-tree STATE_1530000 [&lnP=-22223.91543155582] = [&R] ((33:[&rate=0.002361632521180539]111.35586527182896,(((((16:[&rate=0.002472369714471557]44.422294221130215,((8:[&rate=0.002480788660091357]24.733053653333304,10:[&rate=0.0024162133320690332]24.733053653333304):[&rate=0.0023773131936052167]17.39479810061898,((((24:[&rate=0.002644324466725676]14.934382984464195,(((21:[&rate=0.002629091167281961]3.058113851039378,20:[&rate=0.0023294784382901844]3.058113851039378):[&rate=0.00221340894356394 [...]
-tree STATE_1540000 [&lnP=-22212.70681904742] = [&R] (((33:[&rate=0.003653161243813256]71.44216353750923,(((16:[&rate=0.0026819188871391292]33.42262279165505,((((7:[&rate=0.003121718291058446]25.442407997434433,(13:[&rate=0.0025012987360312645]21.392968047428297,(11:[&rate=0.0034090627451926854]5.9826648894576895,12:[&rate=0.002648975537790543]5.9826648894576895):[&rate=0.0027140720329186787]15.410303157970608):[&rate=0.002614922356887494]4.0494399500061355):[&rate=0.0026819188871391292]3 [...]
-tree STATE_1550000 [&lnP=-22210.223527455768] = [&R] ((14:[&rate=0.002728162191155748]87.62467130952508,((((((22:[&rate=0.003949010712623096]19.34869092278444,(((((20:[&rate=0.003176546373981989]1.390176864869071,21:[&rate=0.004012589091537619]1.390176864869071):[&rate=0.0030834343788330087]0.8602461505657304,19:[&rate=0.0035946939903576895]2.2504230154348015):[&rate=0.0043777881882297014]3.8387134586369784,15:[&rate=0.003671079620550441]6.08913647407178):[&rate=0.0036969670254949727]3.1 [...]
-tree STATE_1560000 [&lnP=-22222.043331092136] = [&R] ((33:[&rate=0.0026487103664537253]100.96181533793188,(((((((23:[&rate=0.002778496245600574]10.236625971780269,17:[&rate=0.0030369926486669063]10.236625971780269):[&rate=0.0027696598080513973]11.767053239229122,(((((20:[&rate=0.003195944429511395]3.054717986200166,21:[&rate=0.0026487103664537253]3.054717986200166):[&rate=0.0026331497246168682]1.2070293611260094,19:[&rate=0.002844690552937069]4.2617473473261756):[&rate=0.0030602743469444 [...]
-tree STATE_1570000 [&lnP=-22202.055094831154] = [&R] ((((((((23:[&rate=0.004033346241652671]6.431419942770713,17:[&rate=0.003599676100601145]6.431419942770713):[&rate=0.0029529801334280854]13.602700270279389,(((((20:[&rate=0.0035184223332757982]2.5504468943434944,21:[&rate=0.0035380352392714288]2.5504468943434944):[&rate=0.0031233727328445924]1.1321340873580055,19:[&rate=0.0034252420663494617]3.6825809817015):[&rate=0.0036213628361163267]3.209975372443241,15:[&rate=0.003336970618675101]6 [...]
-tree STATE_1580000 [&lnP=-22226.633588108667] = [&R] ((33:[&rate=0.001868184781885301]114.49665366952836,9:[&rate=0.0029825957687771507]114.49665366952836):[&rate=0.0022430907711856497]10.95476152169988,(14:[&rate=0.0020198249753790825]105.71606463022411,(((((22:[&rate=0.0020775780300171607]27.44351133178328,((23:[&rate=0.0025698343536243932]13.115896781658165,17:[&rate=0.0019151374582233808]13.115896781658165):[&rate=0.002317432421839148]12.190335748272467,((((20:[&rate=0.00346032759702 [...]
-tree STATE_1590000 [&lnP=-22229.387974684956] = [&R] ((33:[&rate=0.0019386470566763374]154.119004095964,(((((((8:[&rate=0.0018983506300703408]28.43758576296723,10:[&rate=0.001813597492260805]28.43758576296723):[&rate=0.0020185263402056545]22.357107295558258,((3:[&rate=0.0022616019147305307]18.587621349298033,5:[&rate=0.0016316679581024746]18.587621349298033):[&rate=0.0020870975670488523]29.560512127409197,((7:[&rate=0.002838103769747544]31.40517499470945,13:[&rate=0.0016059679119415236]3 [...]
-tree STATE_1600000 [&lnP=-22221.073900205243] = [&R] (((((((16:[&rate=0.0018410114133508475]47.5091655032005,((((11:[&rate=0.0022699075728428884]7.851784482853209,12:[&rate=0.0018294371135209125]7.851784482853209):[&rate=0.0020826210867164923]25.97396358296987,(13:[&rate=0.0019259882251877513]26.894518494280362,7:[&rate=0.0022108883729558726]26.894518494280362):[&rate=0.0017067169203245317]6.9312295715427155):[&rate=0.001754920234393212]6.924192873411805,(3:[&rate=0.002027313169802713]18 [...]
-tree STATE_1610000 [&lnP=-22231.17824664142] = [&R] ((((((((((24:[&rate=0.0017887428328081077]16.31619367458218,(((20:[&rate=0.0020402518159824664]3.4565924849388225,21:[&rate=0.001878257943388141]3.4565924849388225):[&rate=0.0021047339699314617]2.36846023308232,19:[&rate=0.0017887428328081077]5.825052718021142):[&rate=0.0016653510813416906]6.8368875747815725,15:[&rate=0.002218443517073199]12.661940292802715):[&rate=0.0017637627445029388]3.6542533817794656):[&rate=0.0019521324796731468]1 [...]
-tree STATE_1620000 [&lnP=-22200.644569796263] = [&R] ((9:[&rate=0.004605571899557503]118.18135635667596,((((16:[&rate=0.003544698837218353]32.386775652448804,((((22:[&rate=0.0028298219197360483]22.238457245210313,(24:[&rate=0.003408377319331631]14.383580713575947,(15:[&rate=0.0033417105935177995]9.0254738571183,((20:[&rate=0.004605571899557503]1.8989966945288876,21:[&rate=0.005762003256168058]1.8989966945288876):[&rate=0.001848189058540193]1.2973512888614969,19:[&rate=0.00209642667788291 [...]
-tree STATE_1630000 [&lnP=-22224.12668747969] = [&R] ((33:[&rate=0.0018109424813673666]146.76642308336113,(((((16:[&rate=0.0017735478751304229]45.51385451540636,(((3:[&rate=0.0024162502556796233]15.233184685514889,5:[&rate=0.0027518726506865205]15.233184685514889):[&rate=0.0020348826386016577]20.374374857017717,((7:[&rate=0.0034387479346856924]18.59805879356019,13:[&rate=0.0026441946463768413]18.59805879356019):[&rate=0.0024374780707373616]4.569846570145991,(11:[&rate=0.002669837057099209 [...]
-tree STATE_1640000 [&lnP=-22224.448931730123] = [&R] ((33:[&rate=0.0018827995357694118]137.04978082560737,(14:[&rate=0.002177107987007359]111.58572790229252,((((((((23:[&rate=0.002264922918111713]10.710402523539218,17:[&rate=0.0025035982928723957]10.710402523539218):[&rate=0.0019243154403140875]15.273158793684315,22:[&rate=0.00252707074851153]25.983561317223533):[&rate=0.0023966033047580554]1.4248259345424295,(24:[&rate=0.0026313471254386213]12.68441101969775,(15:[&rate=0.002037367343507 [...]
-tree STATE_1650000 [&lnP=-22213.729208888984] = [&R] ((33:[&rate=0.002579154681493089]101.39868147994015,(14:[&rate=0.0025318766938440844]91.70195725502872,(((((22:[&rate=0.0025076940370193173]21.531091465512493,((23:[&rate=0.00280666848607152]8.181628819046924,17:[&rate=0.0025318766938440844]8.181628819046924):[&rate=0.002457886879565753]12.340907814784934,((((21:[&rate=0.003355411894531369]2.39778964009253,20:[&rate=0.0017217079365956654]2.39778964009253):[&rate=0.0031583077402046723]1 [...]
-tree STATE_1660000 [&lnP=-22217.64491823031] = [&R] ((33:[&rate=0.002600536281498951]97.66588669199061,(((((16:[&rate=0.002074097444765522]39.759089811141095,((8:[&rate=0.0025159237575895404]21.530285997109317,10:[&rate=0.0030143249838650962]21.530285997109317):[&rate=0.00264467872179618]16.531787728560573,((3:[&rate=0.0025578312154819942]13.319269476013341,5:[&rate=0.0025020295990809353]13.319269476013341):[&rate=0.0023889760812060663]23.78471624551708,((7:[&rate=0.0024602681211028776]2 [...]
-tree STATE_1670000 [&lnP=-22219.111359742456] = [&R] (((((((((23:[&rate=0.002459638212943807]10.247020260400472,17:[&rate=0.0026883334287178297]10.247020260400472):[&rate=0.0023503508340299954]14.354834140756601,(22:[&rate=0.0027215276209222776]24.32465959968597,(24:[&rate=0.0029509475305829385]12.123241405275216,(15:[&rate=0.0023249502054456072]10.291434090162012,((20:[&rate=0.003542395781632783]2.2007368190692524,21:[&rate=0.002439512051646965]2.2007368190692524):[&rate=0.0021985603036 [...]
-tree STATE_1680000 [&lnP=-22213.855718740575] = [&R] ((((((((((24:[&rate=0.003147553316295737]17.058511461789376,(15:[&rate=0.0026619290959087956]13.432206983204594,(19:[&rate=0.0034855301638960813]3.329157585663938,(20:[&rate=0.0032646174706148176]2.7326265492820117,21:[&rate=0.0031741564236624307]2.7326265492820117):[&rate=0.002777167438240464]0.5965310363819265):[&rate=0.0027113662699038395]10.103049397540655):[&rate=0.0030750892404695002]3.6263044785847818):[&rate=0.00229504552933361 [...]
-tree STATE_1690000 [&lnP=-22211.755952727144] = [&R] ((33:[&rate=0.0024299052521560855]113.02952290325274,(14:[&rate=0.0025993282457344117]85.76064540266549,((((((15:[&rate=0.002413690491315919]11.154411653856133,(24:[&rate=0.002937477995631905]10.01491491422494,((21:[&rate=0.0033381922746722487]3.048270228684403,20:[&rate=0.00229872827304274]3.048270228684403):[&rate=0.0034348453142283852]0.42364153833088825,19:[&rate=0.0030232644558666998]3.4719117670152913):[&rate=0.002429905252156085 [...]
-tree STATE_1700000 [&lnP=-22200.354848928393] = [&R] (((((((((23:[&rate=0.003365249642814903]8.689822827105585,17:[&rate=0.003554003445164287]8.689822827105585):[&rate=0.0044482426523918955]7.4449578001786225,((24:[&rate=0.003680723368576502]11.463425923611451,(15:[&rate=0.0034012752335036396]6.862830842959434,((20:[&rate=0.0026060247129073575]2.588917724028089,21:[&rate=0.002453821316969177]2.588917724028089):[&rate=0.005061945384749165]0.9051286802093501,19:[&rate=0.002152566297037607] [...]
-tree STATE_1710000 [&lnP=-22218.00908822339] = [&R] (((((((((23:[&rate=0.00223561035008405]13.819595522355835,17:[&rate=0.0023243386592132174]13.819595522355835):[&rate=0.0023651301986674853]13.920514690531126,(22:[&rate=0.002319606903388302]25.224994295167356,(24:[&rate=0.002298284486531456]14.094228960081388,(15:[&rate=0.002353738195469663]9.029875938079307,((20:[&rate=0.0026256619081730243]2.7839907876019487,21:[&rate=0.0023688380728031106]2.7839907876019487):[&rate=0.0024675127487044 [...]
-tree STATE_1720000 [&lnP=-22220.999914905547] = [&R] (((((((16:[&rate=0.0024204854063074837]41.53538084934339,((8:[&rate=0.0025082417094569112]22.819692940117598,10:[&rate=0.0021677845038683653]22.819692940117598):[&rate=0.0027150748670406464]16.67284119147142,((3:[&rate=0.0024035316853673757]15.921517328532321,5:[&rate=0.002624922440464107]15.921517328532321):[&rate=0.0019864981064830964]20.37322805790826,(7:[&rate=0.002887761169193471]27.89309201862826,((11:[&rate=0.002924255853726518] [...]
-tree STATE_1730000 [&lnP=-22214.662399983175] = [&R] ((33:[&rate=0.002479110809568101]92.03361443747313,((((((((3:[&rate=0.00344280846018988]12.074969472513128,5:[&rate=0.0030387731977708317]12.074969472513128):[&rate=0.0029032481885051436]15.618568279968468,((11:[&rate=0.002813606327186488]6.593493751631915,12:[&rate=0.0026733563051393743]6.593493751631915):[&rate=0.0026733563051393743]17.180090743521323,(7:[&rate=0.0033052769162468694]18.92742738093144,13:[&rate=0.0025212817968618185]1 [...]
-tree STATE_1740000 [&lnP=-22213.395816307366] = [&R] ((33:[&rate=0.001986898247144993]143.13222489400684,(((((((23:[&rate=0.0024543092610580294]11.556926677165057,17:[&rate=0.0025951805820177932]11.556926677165057):[&rate=0.0018288385868608988]17.10590720212646,(22:[&rate=0.002101344055429096]25.841980634452806,(24:[&rate=0.0029161675976663434]14.590499294195936,(15:[&rate=0.002269565419820285]11.96149860203577,((19:[&rate=0.0026936856837765253]2.629886976231206,20:[&rate=0.0025951805820 [...]
-tree STATE_1750000 [&lnP=-22225.507089507908] = [&R] ((33:[&rate=0.00241674715184514]120.67945819037844,(((((((23:[&rate=0.002340280339258855]12.218287465823876,17:[&rate=0.0025624698971455505]12.218287465823876):[&rate=0.002349730193118853]14.991726874293706,(22:[&rate=0.0025121553512941906]25.40605643171192,(24:[&rate=0.00268000809931953]14.837969712142016,(15:[&rate=0.0023686490163914377]9.331135580296845,((19:[&rate=0.002457117239405688]3.416009628250596,20:[&rate=0.00250059082163465 [...]
-tree STATE_1760000 [&lnP=-22224.659311303767] = [&R] ((14:[&rate=0.0019802977657432754]123.6145273524971,(33:[&rate=0.0028495122093017628]110.04632294171805,((((((23:[&rate=0.0020807428213230374]12.54076551348276,17:[&rate=0.0024813381051727954]12.54076551348276):[&rate=0.0016926875807297024]16.0125887101901,(22:[&rate=0.0024442977817425797]25.072026233052373,(15:[&rate=0.0018535727767035883]14.967377176621312,(24:[&rate=0.0030256754175897555]12.871362155571589,((19:[&rate=0.003086544612 [...]
-tree STATE_1770000 [&lnP=-22224.044507310507] = [&R] ((14:[&rate=0.0019388952090558837]118.23972680927778,(33:[&rate=0.002257302824679745]111.88810357173075,(((((((23:[&rate=0.002347848634019328]12.525231180061601,17:[&rate=0.0019554962480894597]12.525231180061601):[&rate=0.0018024948494164122]13.732906449280057,22:[&rate=0.0024927353617169874]26.258137629341658):[&rate=0.0022954035219995765]0.33413024895299515,(24:[&rate=0.002185845907509524]14.159307697707087,(15:[&rate=0.0024558648812 [...]
-tree STATE_1780000 [&lnP=-22223.960448454556] = [&R] (((((((((3:[&rate=0.0034813764191206696]12.888116431225932,5:[&rate=0.002817804010000746]12.888116431225932):[&rate=0.003066869241916727]18.142791139746514,(((11:[&rate=0.0026834434597122845]7.270730331387094,12:[&rate=0.003110748783882294]7.270730331387094):[&rate=0.004320437900635444]8.971129025798698,13:[&rate=0.003389944395439594]16.241859357185792):[&rate=0.0023836898767731437]6.89977778494254,7:[&rate=0.0031964561216254813]23.141 [...]
-tree STATE_1790000 [&lnP=-22219.382613792615] = [&R] ((33:[&rate=0.002238007616213122]105.10513075853629,((((((((3:[&rate=0.0032383728854695733]12.516605729809275,5:[&rate=0.002238007616213122]12.516605729809275):[&rate=0.0027368221053146484]21.335761911769023,((11:[&rate=0.0029662421497426324]5.970033813701885,12:[&rate=0.0029483023634149764]5.970033813701885):[&rate=0.002391747046243677]23.232223706572135,(13:[&rate=0.0025342499473240206]24.840183507878972,7:[&rate=0.003006774657938844 [...]
-tree STATE_1800000 [&lnP=-22226.097397679434] = [&R] ((33:[&rate=0.002329144612483289]113.35742460450595,(14:[&rate=0.0022659775498179275]96.15122869447856,((((16:[&rate=0.00236635917126326]44.047539313111336,((((24:[&rate=0.002169526119731836]16.09139283262973,(15:[&rate=0.0021047339566300466]13.521839171621407,(21:[&rate=0.0026142696144687925]3.4278485672256753,(19:[&rate=0.0025082806839384704]2.9757415005179033,20:[&rate=0.002967184806043197]2.9757415005179033):[&rate=0.00219864280149 [...]
-tree STATE_1810000 [&lnP=-22238.4853966599] = [&R] ((14:[&rate=0.0020613908835537386]141.29647023096402,(33:[&rate=0.0021316989414330418]119.69742319948301,(((((((3:[&rate=0.0019740055836444544]20.092687464512704,5:[&rate=0.0024115790728141146]20.092687464512704):[&rate=0.0023245696961070217]22.851069262167787,((11:[&rate=0.0026009995147441237]8.708214582066406,12:[&rate=0.0021446734580269824]8.708214582066406):[&rate=0.002118433603624909]23.3315713772162,(13:[&rate=0.002398596334223775] [...]
-tree STATE_1820000 [&lnP=-22222.921474736726] = [&R] ((33:[&rate=0.0020155822101654984]130.3179123492375,(14:[&rate=0.002213527035557759]109.71991463903096,((((((22:[&rate=0.002248107234019071]25.999469934601,(24:[&rate=0.002625120846615394]13.423217197087936,(15:[&rate=0.002625120846615394]12.697127898744721,((21:[&rate=0.002546404977153568]2.0935623518435564,20:[&rate=0.002241180423747008]2.0935623518435564):[&rate=0.002248107234019071]0.9584575943945794,19:[&rate=0.0022906248583025044 [...]
-tree STATE_1830000 [&lnP=-22208.32766083455] = [&R] ((33:[&rate=0.002216125245530691]105.89197608132473,(((((((23:[&rate=0.0027798805913694146]8.874048345626527,17:[&rate=0.003125924409198669]8.874048345626527):[&rate=0.002428477330185349]14.546385576464317,((24:[&rate=0.0027367266654588626]13.789558504125463,(15:[&rate=0.0029238047912841223]10.832252372339125,((19:[&rate=0.0027512034131167125]1.6936092697119163,20:[&rate=0.003167778679257785]1.6936092697119163):[&rate=0.0027367266654588 [...]
-tree STATE_1840000 [&lnP=-22208.443217072687] = [&R] (9:[&rate=0.003987575653827928]94.87515065041502,((((((((22:[&rate=0.0032397558845172186]17.607971681359373,(24:[&rate=0.0025576910625368736]11.59096440647342,(15:[&rate=0.003045793586356185]9.373082321621713,((20:[&rate=0.0027568107996094092]2.1407196938138746,21:[&rate=0.0038598937727044313]2.1407196938138746):[&rate=0.002646459900055578]2.4156707465858442,19:[&rate=0.0029146070636173493]4.556390440399719):[&rate=0.002346840476333604 [...]
-tree STATE_1850000 [&lnP=-22217.172472295235] = [&R] (9:[&rate=0.0031040541399197986]136.4256164774751,((((((((23:[&rate=0.0024410128368257717]9.547508220386899,17:[&rate=0.002737078554198156]9.547508220386899):[&rate=0.0025050138867695956]14.710033218988624,(22:[&rate=0.0026040475942602694]23.231663905550516,((15:[&rate=0.002589136154158368]10.640559979837116,((21:[&rate=0.003048832505313707]1.7158854908418655,20:[&rate=0.0031693656441174473]1.7158854908418655):[&rate=0.0024853103716129 [...]
-tree STATE_1860000 [&lnP=-22221.07432381948] = [&R] (9:[&rate=0.0032536593088716274]103.20788801106004,(33:[&rate=0.003128170852247034]71.3676865548791,(14:[&rate=0.003362475035513959]61.138756707049836,(((((((15:[&rate=0.00514044100931068]7.080540981897644,(19:[&rate=0.0038207666490400177]2.8629762110941432,(20:[&rate=0.0036287087531501217]1.4285334787184352,21:[&rate=0.003510658571268447]1.4285334787184352):[&rate=0.0024972607256078445]1.434442732375708):[&rate=0.003362475035513959]4.2 [...]
-tree STATE_1870000 [&lnP=-22218.806578478412] = [&R] (9:[&rate=0.0023407759884927857]167.09606138298943,(33:[&rate=0.0019713023918273404]126.29054476102876,(14:[&rate=0.0022303690464190716]101.41858073624164,((((((((15:[&rate=0.001998449926560728]10.653621139804944,(19:[&rate=0.0025226735177172497]5.326854411252739,(20:[&rate=0.002408109870284016]2.6518897761303615,21:[&rate=0.001873415740872988]2.6518897761303615):[&rate=0.0017792891978914618]2.674964635122378):[&rate=0.0019021565573905 [...]
-tree STATE_1880000 [&lnP=-22202.482966599113] = [&R] (9:[&rate=0.0032291671304978645]118.62568167772079,((((((((((15:[&rate=0.0027697587033937983]8.946961928011829,((19:[&rate=0.002990113774202299]2.4009979215860513,20:[&rate=0.003581982331741354]2.4009979215860513):[&rate=0.0031540477058217015]0.5933267601941181,21:[&rate=0.0030116479972075003]2.9943246817801694):[&rate=0.0030758871669791434]5.95263724623166):[&rate=0.0032429614718405076]2.679470480260319,24:[&rate=0.003321183135818162] [...]
-tree STATE_1890000 [&lnP=-22221.64595344174] = [&R] (9:[&rate=0.0027185378124609935]145.1606411742961,((((((((22:[&rate=0.0024722357360829695]22.307214235938083,(24:[&rate=0.0027493483889236585]12.357048866442769,((19:[&rate=0.0027538478666554334]2.6785949456823195,(21:[&rate=0.002840981777411972]2.3494441897018077,20:[&rate=0.0028031063212528413]2.3494441897018077):[&rate=0.002797642188879093]0.3291507559805118):[&rate=0.0028146199807710364]7.717680533962258,15:[&rate=0.0027404586144713 [...]
-tree STATE_1900000 [&lnP=-22214.593162434274] = [&R] (9:[&rate=0.0023980911386413126]176.80624732617298,(((((((22:[&rate=0.002078066221055589]27.92650242507503,((23:[&rate=0.002195813565254559]14.266425059536544,17:[&rate=0.002272794231447115]14.266425059536544):[&rate=0.0024110489162562435]12.727611784789477,(24:[&rate=0.0025544890432687463]12.498907940214036,((19:[&rate=0.0023980911386413126]4.0423759663537195,(20:[&rate=0.0024787992357633397]3.5447448718326506,21:[&rate=0.002478799235 [...]
-tree STATE_1910000 [&lnP=-22218.78103124423] = [&R] (9:[&rate=0.0025622484908251627]175.26132966688658,(33:[&rate=0.002151115622356789]124.27617641548389,((((16:[&rate=0.002283688304180099]41.25963099968169,(((((7:[&rate=0.003050734513034499]22.77763700028637,13:[&rate=0.002027681580712797]22.77763700028637):[&rate=0.0021293323918246255]6.706952670744499,(11:[&rate=0.0025963118084334296]7.316546678886313,12:[&rate=0.0034827973027436875]7.316546678886313):[&rate=0.0029777144569312648]22.1 [...]
-tree STATE_1920000 [&lnP=-22214.742260282506] = [&R] (9:[&rate=0.0023848061741526304]137.33005843372592,((33:[&rate=0.0024643841585460595]90.51681863053463,((((((18:[&rate=0.002425826777329586]25.777986343873003,(26:[&rate=0.0031254394126629843]15.95213344415273,25:[&rate=0.0027049593364245296]15.95213344415273):[&rate=0.002501137017142231]9.825852899720273):[&rate=0.0025710506170018837]7.0998880666986395,(2:[&rate=0.002482952805208892]28.772394446399762,((1:[&rate=0.002316431900441663]8 [...]
-tree STATE_1930000 [&lnP=-22212.481926899087] = [&R] (9:[&rate=0.0024627593809459112]144.53179170710874,(33:[&rate=0.002231639342574701]106.7155924305064,(((((((18:[&rate=0.0024475245394236017]31.419482795708895,(26:[&rate=0.0027649788240191727]15.917296846299925,25:[&rate=0.00231128342856045]15.917296846299925):[&rate=0.002180003682921153]15.50218594940897):[&rate=0.0032455122490965926]5.4286206504519114,(2:[&rate=0.0026255358382991844]29.895473415336884,((1:[&rate=0.0024022220211587296 [...]
-tree STATE_1940000 [&lnP=-22224.960120448235] = [&R] (9:[&rate=0.0033902792689401544]122.25222615035717,(33:[&rate=0.0021940303924656394]107.08452273563063,((((((8:[&rate=0.0037534450370933447]20.57869745134983,10:[&rate=0.002556060149409624]20.57869745134983):[&rate=0.0018950321357930446]18.340742093726742,(16:[&rate=0.0025405264078359503]36.926451415124944,((3:[&rate=0.003242022384543044]13.623016750261794,5:[&rate=0.0028750838284128926]13.623016750261794):[&rate=0.002832211797941296]1 [...]
-tree STATE_1950000 [&lnP=-22214.625309055602] = [&R] (9:[&rate=0.0027796821172630646]139.19547357666133,((14:[&rate=0.0021888881101202852]90.79400459019378,33:[&rate=0.0028736325009085005]90.79400459019378):[&rate=0.0028979426559936445]12.615288152728567,((((((8:[&rate=0.0033177609804109437]21.436246979600227,10:[&rate=0.002999945488493543]21.436246979600227):[&rate=0.0030546817490396767]16.19124650854704,((3:[&rate=0.0029478787781037634]14.668538096277002,5:[&rate=0.002531617557692457]1 [...]
-tree STATE_1960000 [&lnP=-22213.770323367335] = [&R] (33:[&rate=0.0020228855081583868]111.11565608699051,(9:[&rate=0.003402502479153751]109.80611638350825,(14:[&rate=0.002569703704327502]87.61788377067931,(((((((3:[&rate=0.0034962253271598773]12.008832751266993,5:[&rate=0.0025526846695759645]12.008832751266993):[&rate=0.002467768970354012]21.362058802445283,(7:[&rate=0.0026924508099641737]26.25981398176652,(13:[&rate=0.0020927542409462344]23.321487289543636,(11:[&rate=0.00250180696789349 [...]
-tree STATE_1970000 [&lnP=-22212.861149855235] = [&R] ((33:[&rate=0.002106489142458103]119.02518186511844,(14:[&rate=0.0022891669920447515]100.65982454909695,((((((3:[&rate=0.002522052074476792]16.418453073205818,5:[&rate=0.0019988787229114993]16.418453073205818):[&rate=0.002767166409972531]20.069206328909843,(7:[&rate=0.002667910025197184]27.75712418344554,(13:[&rate=0.0019988787229114993]26.17738384156564,(11:[&rate=0.003170669208052051]7.00432734931828,12:[&rate=0.002429519764967712]7. [...]
-tree STATE_1980000 [&lnP=-22204.837265295526] = [&R] ((33:[&rate=0.002052361896188378]107.9563690332261,(((((((8:[&rate=0.003386516450341626]18.218471702111206,10:[&rate=0.003283822482563602]18.218471702111206):[&rate=0.0027408436458231005]11.931538184311492,((3:[&rate=0.0027953245206918825]14.796221689494416,5:[&rate=0.002115381074874266]14.796221689494416):[&rate=0.003251438775429186]13.857359262695425,((11:[&rate=0.0034607842547714706]6.43726217734803,12:[&rate=0.0026856939497433767]6 [...]
-tree STATE_1990000 [&lnP=-22213.798652324633] = [&R] ((33:[&rate=0.0024610640379451676]102.31216393643254,((((((((22:[&rate=0.0030797947921528293]20.894725032494005,(24:[&rate=0.0028281692615067322]12.466153072025708,(((20:[&rate=0.0029572877339658905]2.5547923274532107,19:[&rate=0.0032223518941766815]2.5547923274532107):[&rate=0.003123346122571371]1.3784599339249577,21:[&rate=0.002837340775196427]3.9332522613781684):[&rate=0.0024610640379451676]6.379271348339904,15:[&rate=0.003019251076 [...]
-tree STATE_2000000 [&lnP=-22222.73681969999] = [&R] (((33:[&rate=0.001836053271507376]117.62089348979383,(((((((3:[&rate=0.00243260320532603]16.53157625434024,5:[&rate=0.0023499315741151456]16.53157625434024):[&rate=0.0021013727987575425]20.33361984821224,((11:[&rate=0.0021961483978154544]7.729749834542474,12:[&rate=0.0024778580448159278]7.729749834542474):[&rate=0.002221833263416007]24.31568187842101,(13:[&rate=0.0020058410498675016]26.968599022840113,7:[&rate=0.002544984358704703]26.96 [...]
-tree STATE_2010000 [&lnP=-22217.85364219446] = [&R] ((14:[&rate=0.002213463050299688]121.16262783472159,(((((16:[&rate=0.0022676726256435535]46.979645666144464,((8:[&rate=0.0027476785977178244]28.98360036872638,10:[&rate=0.002325225405048207]28.98360036872638):[&rate=0.002187111818678286]16.712503953575705,(((11:[&rate=0.0018704049184163972]10.379739617213746,12:[&rate=0.001956043320218662]10.379739617213746):[&rate=0.0028714030944137535]21.56495423256103,(13:[&rate=0.0015160574287566243 [...]
-tree STATE_2020000 [&lnP=-22227.792369807004] = [&R] ((33:[&rate=0.002494109488133638]114.75058026180078,((((((((11:[&rate=0.00260948551126243]8.259835278513204,12:[&rate=0.0025078875835460464]8.259835278513204):[&rate=0.0026029217814385166]19.497430155116955,(13:[&rate=0.0025894353297368855]21.726493476075735,7:[&rate=0.0025542858999873788]21.726493476075735):[&rate=0.0025309505373633827]6.030771957554425):[&rate=0.002574481990480557]3.3931139632680747,(3:[&rate=0.0025973822298467155]16 [...]
-tree STATE_2030000 [&lnP=-22221.178805904157] = [&R] ((33:[&rate=0.0020963641830061045]124.09443663595889,((((((((24:[&rate=0.002748219672327209]11.781866273139993,(((20:[&rate=0.002509311741004982]3.7383964134089513,21:[&rate=0.0027765860097399226]3.7383964134089513):[&rate=0.0031069718025255886]0.15455369121750673,19:[&rate=0.0024090433734401547]3.892950104626458):[&rate=0.003080759386258831]4.801127539177514,15:[&rate=0.002991028831296767]8.694077643803972):[&rate=0.002820522420537780 [...]
-tree STATE_2040000 [&lnP=-22217.11790247683] = [&R] ((14:[&rate=0.002797975154969472]91.92528377352122,(33:[&rate=0.002438095037133218]81.05469840555838,(((((((((15:[&rate=0.002438095037133218]9.641420966517462,((20:[&rate=0.0029054815113880974]1.5257442706727593,21:[&rate=0.002797975154969472]1.5257442706727593):[&rate=0.00303201285429041]1.6993829169961638,19:[&rate=0.002797975154969472]3.225127187668923):[&rate=0.0028570066160978516]6.416293778848539):[&rate=0.0025921222499702325]3.26 [...]
-tree STATE_2050000 [&lnP=-22228.42914282005] = [&R] (((14:[&rate=0.0024832479024947717]102.99479899205451,((((((((15:[&rate=0.002190721089327244]12.693490784239001,((19:[&rate=0.002258116299107589]4.152115190577586,20:[&rate=0.002070627994223179]4.152115190577586):[&rate=0.0021666096402527643]3.047518685092765,21:[&rate=0.002258116299107589]7.199633875670351):[&rate=0.0021537724948734152]5.493856908568651):[&rate=0.0023610752760062186]4.7231497342472135,24:[&rate=0.002184845628143199]17. [...]
-tree STATE_2060000 [&lnP=-22215.109067752637] = [&R] ((14:[&rate=0.0028371646724099616]88.18889230161994,(((((((22:[&rate=0.002707654018740516]22.075379763872157,((((21:[&rate=0.0029820952112443286]2.8181074782172564,20:[&rate=0.0029539850197298143]2.8181074782172564):[&rate=0.0031498288254377263]0.2744089261350249,19:[&rate=0.0026726595727172434]3.0925164043522813):[&rate=0.002750882469174493]6.6964068628159,15:[&rate=0.0027574722813669093]9.788923267168181):[&rate=0.002750882469174493] [...]
-tree STATE_2070000 [&lnP=-22227.886479901408] = [&R] ((14:[&rate=0.003228297874174566]92.29246826181193,(33:[&rate=0.0032244333040020437]77.01392244812693,(((((8:[&rate=0.003180295300546525]19.729892282053868,10:[&rate=0.003237010726030996]19.729892282053868):[&rate=0.0032609200846397107]12.38512744090167,(((7:[&rate=0.0032725636017054555]18.911817823746805,13:[&rate=0.0031780675376825145]18.911817823746805):[&rate=0.003142261679376408]2.9083662410750257,(11:[&rate=0.0031924603752913473] [...]
-tree STATE_2080000 [&lnP=-22220.143460477466] = [&R] ((33:[&rate=0.0022373078091273016]100.80277000753973,(((((((8:[&rate=0.002694345542799342]24.640503596566507,10:[&rate=0.002453026728109804]24.640503596566507):[&rate=0.002497082319379826]13.249220574484962,16:[&rate=0.002552277921101778]37.88972417105147):[&rate=0.0024333462624876526]0.5176557471177858,(((7:[&rate=0.0029570984721469747]24.82778127261508,13:[&rate=0.0023594996365084516]24.82778127261508):[&rate=0.0025825200074161107]2. [...]
-tree STATE_2090000 [&lnP=-22218.07851969766] = [&R] (((14:[&rate=0.002625364773004045]99.30336471564375,((((16:[&rate=0.002468774811737053]42.91089123289912,((((11:[&rate=0.0021265069357812743]11.502504415241358,12:[&rate=0.001903859512321794]11.502504415241358):[&rate=0.0033163418496352584]18.851363903087062,(13:[&rate=0.0020556075996165045]23.97631053163576,7:[&rate=0.0030998428490757917]23.97631053163576):[&rate=0.0021599439885653035]6.377557786692659):[&rate=0.0020918771384339277]4.9 [...]
-tree STATE_2100000 [&lnP=-22215.981227864904] = [&R] (((14:[&rate=0.0028192791665001726]88.34299582113817,((((16:[&rate=0.002687694817621412]34.75482355099568,((8:[&rate=0.002687694817621412]22.202244817082,10:[&rate=0.0022634564697129453]22.202244817082):[&rate=0.003036430610461578]12.081427631267747,(((11:[&rate=0.0029032769831348407]7.355166839133428,12:[&rate=0.002499044783903048]7.355166839133428):[&rate=0.0028751922214221813]17.409122560963453,(13:[&rate=0.00237458804193544]22.1195 [...]
-tree STATE_2110000 [&lnP=-22216.556862186455] = [&R] (((33:[&rate=0.0038684855700233402]73.64796050702202,((((16:[&rate=0.0033973400169675684]31.64527022856763,((8:[&rate=0.003454959108169135]17.880851364035962,10:[&rate=0.003214341054707576]17.880851364035962):[&rate=0.0037439380380131625]12.628787305026052,(((11:[&rate=0.0033433913892778997]5.561900484140051,12:[&rate=0.003227274715188696]5.561900484140051):[&rate=0.002847402738361005]16.60414861981807,(13:[&rate=0.0034255646063515396] [...]
-tree STATE_2120000 [&lnP=-22210.24882078634] = [&R] (((14:[&rate=0.002770617858120312]76.94554774896461,((((((23:[&rate=0.0021327684975128427]10.250756416739979,17:[&rate=0.0028293965691328594]10.250756416739979):[&rate=0.0028487334833687404]12.281235346041289,(22:[&rate=0.003466998253379714]20.777267991578736,(24:[&rate=0.0031478188294207323]13.67133855810135,(15:[&rate=0.003003487970934197]8.4823305078719,(19:[&rate=0.002551265038380442]5.264125285204812,(21:[&rate=0.002525215315676377 [...]
-tree STATE_2130000 [&lnP=-22215.996018232752] = [&R] (((14:[&rate=0.0020046789519330387]103.8853291410683,((((((23:[&rate=0.0018823308615132663]11.918692977309124,17:[&rate=0.002215465488140206]11.918692977309124):[&rate=0.0018471285698198436]16.573419528381798,(22:[&rate=0.002465194193415431]26.95493630213227,(24:[&rate=0.002465194193415431]16.619014624603626,(15:[&rate=0.0016659861008180305]12.69830818533833,(19:[&rate=0.0019679132165449343]4.8067842891601344,(21:[&rate=0.0021927821467 [...]
-tree STATE_2140000 [&lnP=-22222.48764387818] = [&R] ((((((((22:[&rate=0.0027257468152877187]23.439199946667824,((23:[&rate=0.0026056139294889603]8.99473565299326,17:[&rate=0.0024620787341294295]8.99473565299326):[&rate=0.0022079320294857065]13.175375829560064,(24:[&rate=0.0023868193484450967]13.039100118007632,(15:[&rate=0.0029176264241169707]11.49494849339276,(19:[&rate=0.0025636115952107174]4.9611295193473675,(21:[&rate=0.0023633599407514028]3.5725432846563745,20:[&rate=0.0025949285020 [...]
-tree STATE_2150000 [&lnP=-22217.882369022533] = [&R] (((14:[&rate=0.0030828497582804097]76.52419126104677,((((16:[&rate=0.0030367968740868576]31.830989640832517,((8:[&rate=0.003158264693403213]21.392738378820876,10:[&rate=0.0031523014891417346]21.392738378820876):[&rate=0.0031281377266352047]9.678984233000172,(((11:[&rate=0.0034052773920576606]5.4885387523141445,12:[&rate=0.0031761205123587736]5.4885387523141445):[&rate=0.0031761205123587736]17.956672322712013,(13:[&rate=0.00328126727899 [...]
-tree STATE_2160000 [&lnP=-22211.038173586596] = [&R] (((14:[&rate=0.0027431088872197002]78.00954006283821,(((((((24:[&rate=0.0024046227500687982]14.087827002201074,(15:[&rate=0.002446978153420011]9.976214726245766,(21:[&rate=0.0024261208549861664]2.7535916241501663,(19:[&rate=0.0018331955245090412]2.093470613140643,20:[&rate=0.003179329302857757]2.093470613140643):[&rate=0.0028935554285927393]0.6601210110095233):[&rate=0.0019706302708761255]7.2226231020956):[&rate=0.002446978153420011]4. [...]
-tree STATE_2170000 [&lnP=-22217.391177643007] = [&R] (((14:[&rate=0.0034234550588920416]74.9338595021896,((((((23:[&rate=0.0027101322734017497]12.743232542793354,17:[&rate=0.0023568779363479526]12.743232542793354):[&rate=0.0023812246042043536]12.184212308138257,((24:[&rate=0.0029515618883259025]17.649275358969398,(15:[&rate=0.0030040064883252613]11.340997643181403,((19:[&rate=0.0027497390833899635]3.302828772330956,20:[&rate=0.002919312149414244]3.302828772330956):[&rate=0.00287387210487 [...]
-tree STATE_2180000 [&lnP=-22216.950500410705] = [&R] (((14:[&rate=0.0025705081630883354]110.96564256874589,(((((((((19:[&rate=0.0027520958171995493]4.735427069920651,(20:[&rate=0.001826557122313325]3.2824925403490575,21:[&rate=0.0026706272266449503]3.2824925403490575):[&rate=0.0026706272266449503]1.4529345295715936):[&rate=0.002454043928065708]7.584556587739297,15:[&rate=0.0021625711402281315]12.319983657659948):[&rate=0.0020138434467512527]4.612017974888408,24:[&rate=0.00252303801135533 [...]
-tree STATE_2190000 [&lnP=-22227.316347617485] = [&R] ((((((((((23:[&rate=0.002165806694529433]11.491595612583119,17:[&rate=0.002506608153637148]11.491595612583119):[&rate=0.0021214628747370456]18.530036668336475,((((21:[&rate=0.0022091897250711453]3.5218050146630437,20:[&rate=0.002471477226870163]3.5218050146630437):[&rate=0.0023574074710219265]2.2515180750311394,19:[&rate=0.002023547850665061]5.773323089694183):[&rate=0.001963989840028999]7.782015776297215,15:[&rate=0.002864049322116668 [...]
-tree STATE_2200000 [&lnP=-22228.563825593712] = [&R] ((((((((((((19:[&rate=0.0021540669799935]5.4352540575821875,(20:[&rate=0.0021540669799935]3.951686221228455,21:[&rate=0.0021459406118951147]3.951686221228455):[&rate=0.002360531017812966]1.4835678363537323):[&rate=0.0021540669799935]4.54477036552012,15:[&rate=0.002367055109403893]9.980024423102307):[&rate=0.0024539658019657436]4.054544318687986,24:[&rate=0.002224344572218313]14.034568741790293):[&rate=0.0023542063478051802]8.9459641917 [...]
-tree STATE_2210000 [&lnP=-22217.253178581133] = [&R] (((14:[&rate=0.002624441772208722]94.58217311028994,((((16:[&rate=0.0025141794032655404]39.520869954748,((((7:[&rate=0.0026569220449746043]22.686023618301327,13:[&rate=0.002599340396793939]22.686023618301327):[&rate=0.002581999801258623]6.694593968218829,(11:[&rate=0.002721739190863563]7.141541594393427,12:[&rate=0.0026649606154988533]7.141541594393427):[&rate=0.002398497796606323]22.23907599212673):[&rate=0.002599340396793939]3.501600 [...]
-tree STATE_2220000 [&lnP=-22219.183114444353] = [&R] (((((((((23:[&rate=0.0029146646149430205]11.030843125607397,17:[&rate=0.0029146646149430205]11.030843125607397):[&rate=0.002788463328906718]12.515918857494981,(((((20:[&rate=0.002951696785408338]2.265552921142292,21:[&rate=0.0030909668720405575]2.265552921142292):[&rate=0.002951696785408338]2.1176324608954706,19:[&rate=0.0030282054699947163]4.383185382037762):[&rate=0.0028807289253522973]7.71073274713425,15:[&rate=0.0028073189073283774 [...]
-tree STATE_2230000 [&lnP=-22212.96429291782] = [&R] (((14:[&rate=0.0027287425101509034]80.78319098772462,(((16:[&rate=0.0025918214785970208]38.8979974861732,(((7:[&rate=0.0025918214785970208]26.759622407604965,(13:[&rate=0.0024333476760963406]20.76277773119268,(11:[&rate=0.0027287425101509034]6.466563626556661,12:[&rate=0.002312112673737231]6.466563626556661):[&rate=0.0030725792082371803]14.296214104636022):[&rate=0.002414057369011912]5.996844676412284):[&rate=0.002684061975683847]7.0007 [...]
-tree STATE_2240000 [&lnP=-22228.174360311226] = [&R] (((14:[&rate=0.0024171006147242144]119.93084276681243,(((((8:[&rate=0.002552613220200722]25.97466488915282,10:[&rate=0.002552613220200722]25.97466488915282):[&rate=0.0035214172971956828]11.089732660584765,(((11:[&rate=0.002660767822454501]7.946783245921259,12:[&rate=0.0020025614417980052]7.946783245921259):[&rate=0.003802458863478763]15.710054035193671,(13:[&rate=0.0022143593557499446]19.106091240685586,7:[&rate=0.0037206204725822043]1 [...]
-tree STATE_2250000 [&lnP=-22209.423860832685] = [&R] (((14:[&rate=0.002628314724706907]93.24785903083081,((((((8:[&rate=0.0029881130452030997]23.986155206463724,10:[&rate=0.0022186433734611272]23.986155206463724):[&rate=0.003856684064111099]10.033688328304994,16:[&rate=0.0029577988933321133]34.01984353476872):[&rate=0.0024507993004606685]1.8299387631876556,(((7:[&rate=0.0031230962947714283]22.435492521992042,13:[&rate=0.0022919933243397105]22.435492521992042):[&rate=0.0028727472816379]4. [...]
-tree STATE_2260000 [&lnP=-22205.86769752728] = [&R] ((33:[&rate=0.0027818375966127346]94.87501325689875,(14:[&rate=0.003227527497329849]75.24249063446032,((((((8:[&rate=0.0033188298663453077]17.712312235990808,10:[&rate=0.0032944934933374945]17.712312235990808):[&rate=0.0030090351590654285]12.991836365856571,(((11:[&rate=0.003708002031616541]4.420024715959323,12:[&rate=0.002674405123289011]4.420024715959323):[&rate=0.0028315752158690416]19.07404468324525,(13:[&rate=0.002863996153418041]2 [...]
-tree STATE_2270000 [&lnP=-22224.008426201242] = [&R] ((33:[&rate=0.002337004962832085]110.11387875134936,(14:[&rate=0.0028159558893325054]96.7535471539396,((((((8:[&rate=0.002680815002119424]23.54948831961617,10:[&rate=0.0024799511352706703]23.54948831961617):[&rate=0.002583946036814577]11.469467256235387,16:[&rate=0.0023207545412377655]35.01895557585156):[&rate=0.002459693266801426]2.9525842750056555,(((11:[&rate=0.0023520868414718633]6.9558505453737345,12:[&rate=0.002546814980988138]6. [...]
-tree STATE_2280000 [&lnP=-22221.51385938854] = [&R] ((33:[&rate=0.0022479315723025165]125.09749630337242,((((((((24:[&rate=0.002540410057674535]18.169220585554754,((19:[&rate=0.002407741910465339]5.228724547061802,(20:[&rate=0.002738459465013377]3.3847972306241045,21:[&rate=0.002883570984098664]3.3847972306241045):[&rate=0.002233610482016307]1.8439273164376973):[&rate=0.002721013326649205]6.125447357142178,15:[&rate=0.002344962469455915]11.35417190420398):[&rate=0.0027571432831784344]6.8 [...]
-tree STATE_2290000 [&lnP=-22205.18489495885] = [&R] ((((((((((24:[&rate=0.0031086736218077964]11.546718454501558,((21:[&rate=0.003810190657278328]3.756218984808186,(19:[&rate=0.0036828867168892474]2.8719873486201726,20:[&rate=0.002907036745285094]2.8719873486201726):[&rate=0.004091508835693187]0.8842316361880136):[&rate=0.005086877453136126]6.433742690140971,15:[&rate=0.0028596547697117237]10.189961674949156):[&rate=0.0031793246406248673]1.356756779552402):[&rate=0.005685054633605763]5.2 [...]
-tree STATE_2300000 [&lnP=-22211.99732445363] = [&R] ((33:[&rate=0.002529382843868242]103.37648175847191,9:[&rate=0.0037398554023861]103.37648175847191):[&rate=0.0031218069112679114]3.205508503976361,(((((16:[&rate=0.002326340704279767]38.67632917423048,((((((19:[&rate=0.0030145607141188876]4.02929464996425,(21:[&rate=0.002754559335898122]3.637224727967612,20:[&rate=0.002513270437232203]3.637224727967612):[&rate=0.0028519700776848274]0.3920699219966375):[&rate=0.0024424887152917]5.9625914 [...]
-tree STATE_2310000 [&lnP=-22235.017159715364] = [&R] (9:[&rate=0.002217278528802954]169.41233561751483,(33:[&rate=0.002055999510553375]123.29934110763038,((((((((23:[&rate=0.0020263463666137394]13.990249647342354,17:[&rate=0.0021747614790238994]13.990249647342354):[&rate=0.002046413398980888]13.646621882603553,22:[&rate=0.002288026853918396]27.636871529945907):[&rate=0.0020365604531277378]2.1253727780844898,((((19:[&rate=0.002074673780415085]3.6948019903093754,20:[&rate=0.002308818038811 [...]
-tree STATE_2320000 [&lnP=-22235.787677413995] = [&R] (9:[&rate=0.002719994949844018]138.80362406288808,((((((((22:[&rate=0.002564185982821366]25.321156613907654,(((19:[&rate=0.0025765423576220095]3.507530858088082,(21:[&rate=0.00267867424184567]3.054778348926113,20:[&rate=0.0026440706995642]3.054778348926113):[&rate=0.0026259011117300054]0.45275250916196885):[&rate=0.002618191720941524]3.7859920517513515,15:[&rate=0.002759750775603305]7.293522909839433):[&rate=0.002462546881965336]7.0111 [...]
-tree STATE_2330000 [&lnP=-22216.59144133235] = [&R] (((14:[&rate=0.002676303301857492]104.15253148000909,(((((22:[&rate=0.002479873872324151]25.78163221255525,((((19:[&rate=0.0030371303679634204]2.91031797293441,(20:[&rate=0.0029336125877986985]2.0718360807933824,21:[&rate=0.0027558644293304837]2.0718360807933824):[&rate=0.0023852564762386046]0.8384818921410275):[&rate=0.0023377759279278702]4.859159390550966,15:[&rate=0.002676303301857492]7.769477363485376):[&rate=0.0023615640925862902]5 [...]
-tree STATE_2340000 [&lnP=-22223.58117197035] = [&R] ((14:[&rate=0.0023779204939975195]105.05849633391645,(33:[&rate=0.0027446478241992104]97.26279255189363,((((((3:[&rate=0.0023891103957018487]13.64702815281056,5:[&rate=0.002508923197031685]13.64702815281056):[&rate=0.0022692779047234738]22.910314300596237,((11:[&rate=0.0023291075408458837]6.2326790788146536,12:[&rate=0.0024000036283400037]6.2326790788146536):[&rate=0.00256598638223564]21.46361139945246,(13:[&rate=0.002527850581767124]23 [...]
-tree STATE_2350000 [&lnP=-22219.62237005507] = [&R] (33:[&rate=0.0015246386257204492]129.27855727684127,((14:[&rate=0.0023719535733721098]102.76498162834177,(((((16:[&rate=0.002435466391895004]36.21508498893003,(((3:[&rate=0.0033169221413240774]12.601904651468628,5:[&rate=0.003011367945457813]12.601904651468628):[&rate=0.002479117775759211]17.978168000559243,(((11:[&rate=0.0025953062226698196]7.8823738237669465,12:[&rate=0.002102679543276896]7.8823738237669465):[&rate=0.00311175177415860 [...]
-tree STATE_2360000 [&lnP=-22212.889373688216] = [&R] (((14:[&rate=0.003111624845584019]95.23973796002862,((((((18:[&rate=0.0025609808031177407]30.046803263659946,(26:[&rate=0.002793242751947809]17.77880981126264,25:[&rate=0.002258250093793211]17.77880981126264):[&rate=0.002636851255579495]12.267993452397306):[&rate=0.002904116655735262]4.191357904243617,(2:[&rate=0.002793242751947809]29.595637133226504,((1:[&rate=0.0027320059666154873]7.714816297357327,6:[&rate=0.0022779354003281804]7.71 [...]
-tree STATE_2370000 [&lnP=-22208.72421355266] = [&R] (((14:[&rate=0.0031101953109362672]84.0318959695562,((((((18:[&rate=0.002970293419824423]25.392349022828967,(26:[&rate=0.0030033316617274785]14.255512935060425,25:[&rate=0.0034994586153000904]14.255512935060425):[&rate=0.0028596795313247684]11.136836087768542):[&rate=0.002554494854740641]4.031411360761368,(2:[&rate=0.002781885118679928]26.477729285577233,((1:[&rate=0.0031496759060119887]7.216254241329174,6:[&rate=0.0027341705447765288]7 [...]
-tree STATE_2380000 [&lnP=-22216.76008977948] = [&R] ((14:[&rate=0.0030303925360715815]92.86872274620197,(33:[&rate=0.002997695793368912]82.24603028551566,((((((18:[&rate=0.0033407908146065564]21.618290719039265,(26:[&rate=0.003746248661940211]11.062751509061043,25:[&rate=0.0032468893310236757]11.062751509061043):[&rate=0.0027809383724173376]10.555539209978223):[&rate=0.002464081220213763]5.837824995843896,(2:[&rate=0.0028958690285751845]24.321151743247338,((1:[&rate=0.0031947222141878616 [...]
-tree STATE_2390000 [&lnP=-22216.652421231844] = [&R] (((((((((18:[&rate=0.0029142652886681476]25.481647376392942,(26:[&rate=0.003507956304020104]11.480087498528544,25:[&rate=0.002727979048403302]11.480087498528544):[&rate=0.0023494192437575113]14.001559877864398):[&rate=0.0031899052469688905]4.217893668509724,(2:[&rate=0.0032287206971973945]24.898034180442966,((1:[&rate=0.003507956304020104]8.207951631917904,6:[&rate=0.0025685523612833886]8.207951631917904):[&rate=0.002665209901148119]12 [...]
-tree STATE_2400000 [&lnP=-22207.86201981865] = [&R] (((33:[&rate=0.002821693016290048]85.38082583331794,((((((18:[&rate=0.002722252945559226]23.454140534288552,(26:[&rate=0.0037570190637181635]12.50372338842527,25:[&rate=0.0030222802038659844]12.50372338842527):[&rate=0.0033170519926893362]10.950417145863282):[&rate=0.002940429687362585]4.313677374947321,(2:[&rate=0.0030350896119535876]23.114865889748028,((1:[&rate=0.0029689215284415876]6.925229110179353,6:[&rate=0.002877491493568857]6.9 [...]
-tree STATE_2410000 [&lnP=-22212.71069542648] = [&R] ((33:[&rate=0.002753939630868422]96.85073440629932,(((((((18:[&rate=0.002801150291128944]27.518449554740016,(26:[&rate=0.003382006721501266]17.895590072733846,25:[&rate=0.0024591464342561668]17.895590072733846):[&rate=0.003006920535861537]9.62285948200617):[&rate=0.0024591464342561668]5.8346632005581185,(2:[&rate=0.002954794678357793]30.302421232578745,((1:[&rate=0.0031920095743153964]8.437780563852023,6:[&rate=0.002571305738987409]8.43 [...]
-tree STATE_2420000 [&lnP=-22230.043920588767] = [&R] (((((((((18:[&rate=0.002176591616741499]32.575675413602816,(26:[&rate=0.002176591616741499]18.805454303193322,25:[&rate=0.0019727834957276066]18.805454303193322):[&rate=0.0021080358241506005]13.770221110409494):[&rate=0.0019974657736681824]10.079571281069796,(2:[&rate=0.001880619912245855]33.10588562910269,((1:[&rate=0.0019138244197624275]9.76920405062609,6:[&rate=0.001962352080348524]9.76920405062609):[&rate=0.0020211579841439005]19.6 [...]
-tree STATE_2430000 [&lnP=-22214.748853198267] = [&R] ((33:[&rate=0.0025251328362134833]94.69814225861207,(14:[&rate=0.0029239395221776366]73.15183270171835,((((((18:[&rate=0.0026554195447469533]22.065285741833936,(26:[&rate=0.0031405872689036106]12.599395255917132,25:[&rate=0.0029239395221776366]12.599395255917132):[&rate=0.003070082064540865]9.465890485916804):[&rate=0.002587383109339257]5.1659928168231986,(2:[&rate=0.0029641672529258393]24.64766512089211,((1:[&rate=0.002747182600565789 [...]
-tree STATE_2440000 [&lnP=-22208.72679455807] = [&R] ((33:[&rate=0.001998814384960522]105.14653820677628,(14:[&rate=0.0031161420302652423]87.70389819973937,((((((18:[&rate=0.0028961814083826413]29.65534137945688,(26:[&rate=0.003267445085602969]15.72090635415883,25:[&rate=0.0031161420302652423]15.72090635415883):[&rate=0.0023292291706568393]13.934435025298049):[&rate=0.002497645431855422]6.3671376297605065,(2:[&rate=0.002742637836783291]29.405616028060372,((1:[&rate=0.003041182986167325]8. [...]
-tree STATE_2450000 [&lnP=-22215.230155406836] = [&R] ((14:[&rate=0.0025238778867664345]95.20294935258805,(33:[&rate=0.003099909812963536]79.90831215611388,((((((18:[&rate=0.0025048488744359677]25.424464099490084,(26:[&rate=0.002626831376302768]15.654356100630885,25:[&rate=0.003144289243063165]15.654356100630885):[&rate=0.003220365796156741]9.7701079988592):[&rate=0.002419055650689425]4.301420602599659,(2:[&rate=0.0031934501028415573]23.381201319098068,((1:[&rate=0.0032805372162079066]7.2 [...]
-tree STATE_2460000 [&lnP=-22216.31042037198] = [&R] ((33:[&rate=0.002069466987908468]106.16910383682915,(((((((18:[&rate=0.0030008333789417257]23.742796778409943,(26:[&rate=0.002738560455686607]16.374459892809217,25:[&rate=0.002345752935637865]16.374459892809217):[&rate=0.0025497789427750732]7.368336885600726):[&rate=0.0026933863214515397]6.779708985124614,(2:[&rate=0.0029117194252753003]25.011479014085406,((1:[&rate=0.002769864443873943]8.685672206055692,6:[&rate=0.002430582173167919]8. [...]
-tree STATE_2470000 [&lnP=-22217.732340063976] = [&R] (((((16:[&rate=0.0027689216622850494]38.7451389404797,(((8:[&rate=0.003022185311039852]23.728086510248424,10:[&rate=0.002754972390866018]23.728086510248424):[&rate=0.002875243788330313]12.695451158861744,((3:[&rate=0.002796212742488452]13.80694422553841,5:[&rate=0.002980655363781873]13.80694422553841):[&rate=0.0034150469910354227]15.904107917155512,(((11:[&rate=0.003266639054885733]5.576106491731112,12:[&rate=0.0027407737875708884]5.57 [...]
-tree STATE_2480000 [&lnP=-22211.74007691098] = [&R] (((14:[&rate=0.0023963516818005567]100.30216386789549,((((((((7:[&rate=0.0023762183188189264]24.234767656012345,13:[&rate=0.0020547083856334468]24.234767656012345):[&rate=0.0027440793378494953]6.1158373026691315,(11:[&rate=0.00254983441617437]7.630741962554655,12:[&rate=0.002317524819782267]7.630741962554655):[&rate=0.0022419865860483093]22.71986299612682):[&rate=0.0028141857587352962]7.2788991313569475,(3:[&rate=0.00312479189085747]12. [...]
-tree STATE_2490000 [&lnP=-22214.650168407457] = [&R] ((33:[&rate=0.0022809700697860673]106.52274470768418,(14:[&rate=0.0028925567379400096]86.68734134370378,(((((((3:[&rate=0.002452441014708207]15.374253046955321,5:[&rate=0.0023736118659981736]15.374253046955321):[&rate=0.0027330818923341164]15.966805333951317,((11:[&rate=0.0027330818923341164]7.369187850437667,12:[&rate=0.0026372571237352404]7.369187850437667):[&rate=0.003269878182118092]18.190274008856747,(13:[&rate=0.00283182016680244 [...]
-tree STATE_2500000 [&lnP=-22207.87512468531] = [&R] (((33:[&rate=0.004014478086168371]67.63505887018505,((((((8:[&rate=0.0036362785683544995]18.115484041988164,10:[&rate=0.0030929220077581623]18.115484041988164):[&rate=0.0030929220077581623]13.577306758248987,((3:[&rate=0.003285842034003208]12.86403578953691,5:[&rate=0.002847925188456996]12.86403578953691):[&rate=0.002847925188456996]16.6851770286828,((11:[&rate=0.002435857347606754]7.982000083583131,12:[&rate=0.0023171508079380047]7.982 [...]
-tree STATE_2510000 [&lnP=-22230.26470576068] = [&R] (((14:[&rate=0.002364137973507571]104.60201552879917,((((((8:[&rate=0.002595395169634804]23.227555361220123,10:[&rate=0.002426213944028098]23.227555361220123):[&rate=0.002397969969908599]17.62227053431673,((3:[&rate=0.0023032135408204667]14.717116312037355,5:[&rate=0.002234069361321707]14.717116312037355):[&rate=0.002464501950649173]21.34869256350695,(7:[&rate=0.0019882163724948775]29.908661712386166,(13:[&rate=0.0023032135408204667]25. [...]
-tree STATE_2520000 [&lnP=-22212.399348841165] = [&R] (((((((16:[&rate=0.00242329702642115]36.70490425229953,(((18:[&rate=0.003072714359796553]24.17499326495068,(26:[&rate=0.002860475065978891]13.336965434486721,25:[&rate=0.0026279409834224694]13.336965434486721):[&rate=0.0024713611454987225]10.838027830463957):[&rate=0.003160673356522449]4.877619335236137,(2:[&rate=0.0026740533778035667]24.990494447160508,((1:[&rate=0.0027859127223714615]6.1952249780268875,6:[&rate=0.0026279409834224694] [...]
-tree STATE_2530000 [&lnP=-22221.981514930714] = [&R] (((((((16:[&rate=0.0026018014271464796]37.436010273177175,(((3:[&rate=0.00227200906939245]14.336141033239292,5:[&rate=0.002675038611561812]14.336141033239292):[&rate=0.0023417321045371073]19.383775297168334,((11:[&rate=0.002363675013021694]7.9893427103559045,12:[&rate=0.0023852853934746994]7.9893427103559045):[&rate=0.0026018014271464796]22.165523323264864,(13:[&rate=0.001955008142279626]27.085686525767024,7:[&rate=0.002296128642419813 [...]
-tree STATE_2540000 [&lnP=-22208.84656170913] = [&R] ((33:[&rate=0.0026587220301327315]94.50055939042475,(14:[&rate=0.003694465855746843]69.81911276138561,((((((18:[&rate=0.003173952144110054]24.34000598195339,(26:[&rate=0.0030273745587923533]16.312696143590095,25:[&rate=0.0023822368839065316]16.312696143590095):[&rate=0.002798929922357153]8.027309838363294):[&rate=0.003213750737302741]4.310091872145563,(2:[&rate=0.003009889751634407]23.834008653754417,((1:[&rate=0.0031936296303950655]6.2 [...]
-tree STATE_2550000 [&lnP=-22216.384021855647] = [&R] ((14:[&rate=0.002697337273977902]95.81411461365012,(33:[&rate=0.002722910069538818]78.96388832329457,((((((18:[&rate=0.0031300911900468123]22.569660978534476,(26:[&rate=0.002697337273977902]12.851138559407476,25:[&rate=0.0029773914906876]12.851138559407476):[&rate=0.00299365015713542]9.718522419127):[&rate=0.002894407133601176]4.994943503361341,(2:[&rate=0.0028870386477230776]23.302627371475864,((1:[&rate=0.0029616702077773457]7.345667 [...]
-tree STATE_2560000 [&lnP=-22208.147501128788] = [&R] (((((((((18:[&rate=0.0036532131931568037]24.699731955013945,(26:[&rate=0.0035886839927080304]16.72812324270155,25:[&rate=0.0025102771202322907]16.72812324270155):[&rate=0.0030038277145045386]7.9716087123123955):[&rate=0.003103727101663534]6.136433667448621,(2:[&rate=0.0028904893185021977]25.891191096029335,((1:[&rate=0.0030038277145045386]7.138749262078419,6:[&rate=0.002336922558482981]7.138749262078419):[&rate=0.00253253863607269]14.3 [...]
-tree STATE_2570000 [&lnP=-22225.193529953813] = [&R] (((14:[&rate=0.002563120643129948]85.00990212743035,33:[&rate=0.0024349286508579537]85.00990212743035):[&rate=0.0029895287302013074]15.186574893062598,((((((18:[&rate=0.0025103063998489967]30.557020992792573,(26:[&rate=0.0024735214020452593]18.48992715765909,25:[&rate=0.002764870593751856]18.48992715765909):[&rate=0.002697580465495346]12.067093835133484):[&rate=0.002664271573790288]4.959328915881507,(2:[&rate=0.002614138913718341]27.91 [...]
-tree STATE_2580000 [&lnP=-22215.75546549469] = [&R] (((((((((18:[&rate=0.0026020359987508406]29.18884363090457,(26:[&rate=0.002700983723771341]16.954007416528917,25:[&rate=0.0022997759757525946]16.954007416528917):[&rate=0.002624900529235096]12.234836214375655):[&rate=0.00197138336610854]8.544596674458113,(2:[&rate=0.002161304358071119]31.54385163984278,((1:[&rate=0.003246454557555482]9.279357237632237,6:[&rate=0.001523336325490733]9.279357237632237):[&rate=0.0029178690618450326]16.53998 [...]
-tree STATE_2590000 [&lnP=-22216.33563138668] = [&R] (((((((((18:[&rate=0.003031494620850181]25.684928981314947,(26:[&rate=0.002722554578533525]15.190243307299264,25:[&rate=0.002864630867341715]15.190243307299264):[&rate=0.0030581678695053203]10.494685674015683):[&rate=0.0024673315027732403]4.949081236161554,(2:[&rate=0.0029009974806693227]27.517625337977723,((1:[&rate=0.0024203702533181475]7.353983780217521,6:[&rate=0.002708100236543328]7.353983780217521):[&rate=0.0025822087725543034]13. [...]
-tree STATE_2600000 [&lnP=-22212.890856894643] = [&R] (((((((16:[&rate=0.0027115224803206986]36.017911555035376,(((3:[&rate=0.0028072582558030836]13.438534641883148,5:[&rate=0.0027687982936935394]13.438534641883148):[&rate=0.0027753593408016523]16.64297564629394,((11:[&rate=0.0029799350316986987]4.672473565546657,12:[&rate=0.0028773729934334375]4.672473565546657):[&rate=0.0030567905814996438]21.602934380300702,(13:[&rate=0.0026027059957577335]21.585065948514334,7:[&rate=0.0029122687668055 [...]
-tree STATE_2610000 [&lnP=-22203.278395295652] = [&R] (((((((16:[&rate=0.0026257086476395726]33.31060923296622,((8:[&rate=0.003476399994078349]17.338488873339127,10:[&rate=0.003873184922269043]17.338488873339127):[&rate=0.003476399994078349]12.857864576646154,((3:[&rate=0.003319538275160892]13.861970926519202,5:[&rate=0.002658796516626441]13.861970926519202):[&rate=0.003873184922269043]13.640770321064632,((7:[&rate=0.003824984379478894]18.359034512820987,13:[&rate=0.002925398447138482]18. [...]
-tree STATE_2620000 [&lnP=-22212.461619981186] = [&R] (((33:[&rate=0.0024527474167977685]103.85460512029023,((((16:[&rate=0.0027886268557149353]35.660203670123984,(((((11:[&rate=0.0032483614443337677]6.672316723589646,12:[&rate=0.002063689766620072]6.672316723589646):[&rate=0.003189557187485109]14.532135934980634,13:[&rate=0.002473590585519452]21.20445265857028):[&rate=0.0022325057077251464]4.431367510512246,7:[&rate=0.002771953872134593]25.635820169082525):[&rate=0.003089479651543962]5.4 [...]
-tree STATE_2630000 [&lnP=-22214.110323303747] = [&R] (((((((16:[&rate=0.0021705833022744397]40.743327350061044,((((7:[&rate=0.0034178681834622997]19.232101108281643,13:[&rate=0.0025460207816562367]19.232101108281643):[&rate=0.0021044762524911956]5.099069192270278,(11:[&rate=0.0030884632831090606]6.790163609697803,12:[&rate=0.002459137725540705]6.790163609697803):[&rate=0.0032478725608847065]17.54100669085412):[&rate=0.0029750945142621318]8.209433722603688,(3:[&rate=0.0032478725608847065] [...]
-tree STATE_2640000 [&lnP=-22216.46104909822] = [&R] ((((((((16:[&rate=0.003203145405457931]33.12074143598125,(((11:[&rate=0.003438295516658257]4.963229156772506,12:[&rate=0.003124791340517646]4.963229156772506):[&rate=0.0024751216120437384]16.770800227608067,(13:[&rate=0.002901418800689278]17.881001992667056,7:[&rate=0.003124791340517646]17.881001992667056):[&rate=0.0026281988402076014]3.8530273917135176):[&rate=0.003140036292564677]7.703004072812753,(3:[&rate=0.0032364422426596298]13.25 [...]
-tree STATE_2650000 [&lnP=-22215.243072327827] = [&R] (((14:[&rate=0.0035130564643772776]74.33782857862003,((((16:[&rate=0.002508874792104603]37.74887982211167,((((11:[&rate=0.0031166920738280963]6.694801082178679,12:[&rate=0.002834417517216712]6.694801082178679):[&rate=0.002677825525577029]20.262208873604727,(13:[&rate=0.0023653836413085523]23.08300987779625,7:[&rate=0.00308138478802958]23.08300987779625):[&rate=0.00320054951394621]3.874000077987155):[&rate=0.002661947205573301]5.9444965 [...]
-tree STATE_2660000 [&lnP=-22206.196381399684] = [&R] ((33:[&rate=0.0030757587971529843]91.3584505254407,((((((((23:[&rate=0.002965465074283707]8.713162707754948,17:[&rate=0.003173012766888082]8.713162707754948):[&rate=0.0029018072712170264]8.937874872160569,((15:[&rate=0.003100987434069931]8.116341121889562,(19:[&rate=0.002934587095141273]2.8847487776157874,(21:[&rate=0.0040581300027361196]1.8917924508622728,20:[&rate=0.0030757587971529843]1.8917924508622728):[&rate=0.0034581610788827154 [...]
-tree STATE_2670000 [&lnP=-22213.31055528685] = [&R] ((14:[&rate=0.0022438991715495993]114.70184243033265,(33:[&rate=0.0030344571047400434]97.81269576206994,(((((22:[&rate=0.0025273048527221413]24.50098610934207,((23:[&rate=0.002691432639514435]12.52671620191955,17:[&rate=0.002907772657974832]12.52671620191955):[&rate=0.0030153055511438313]11.65380508481728,(((19:[&rate=0.0027082538771582695]5.232541328665814,(21:[&rate=0.00292501382983183]3.6601879724032274,20:[&rate=0.003616691819915039 [...]
-tree STATE_2680000 [&lnP=-22204.9368718459] = [&R] ((33:[&rate=0.002749068461650363]87.43334983619876,(14:[&rate=0.002867766994138504]80.6544297652129,((((((3:[&rate=0.004718112516555371]9.206346397127076,5:[&rate=0.0037722585905126268]9.206346397127076):[&rate=0.002575317055955458]18.456251386922148,((11:[&rate=0.004115836440709943]5.3667687072063,12:[&rate=0.002717231753634817]5.3667687072063):[&rate=0.0034666429158713924]16.37194257675965,(13:[&rate=0.0029508571011529912]17.7088337083 [...]
-tree STATE_2690000 [&lnP=-22218.66656613367] = [&R] ((33:[&rate=0.0021288053830005264]120.74867573602099,(((((((23:[&rate=0.0018807693552411818]14.252164367652052,17:[&rate=0.0023988791034963764]14.252164367652052):[&rate=0.002081560889230186]15.934449628192786,(22:[&rate=0.002015485594548802]28.87931839939586,(((19:[&rate=0.0022365516329972755]4.371007430660336,(21:[&rate=0.0018807693552411818]3.7048596751412823,20:[&rate=0.001743587242436689]3.7048596751412823):[&rate=0.001980283736868 [...]
-tree STATE_2700000 [&lnP=-22227.096064742098] = [&R] (((((((((3:[&rate=0.0024417416894745377]17.473583183001235,5:[&rate=0.0024732806398471297]17.473583183001235):[&rate=0.0025133758370174688]17.168748450418928,((11:[&rate=0.002461661826743314]6.3392348534925915,12:[&rate=0.0025189275217052127]6.3392348534925915):[&rate=0.002466129488612533]20.69879005361836,(13:[&rate=0.0024640005828869384]22.448913181353696,7:[&rate=0.0025174694906170067]22.448913181353696):[&rate=0.002474836297686245] [...]
-tree STATE_2710000 [&lnP=-22222.54988143301] = [&R] ((33:[&rate=0.0020147720710867994]131.37632984669415,(14:[&rate=0.0024229616551426666]103.986240269978,((((((23:[&rate=0.0022327570386002004]13.215474242092268,17:[&rate=0.0022551562625836683]13.215474242092268):[&rate=0.0020986139486509734]13.820598300716116,(22:[&rate=0.0025104046591776902]23.56122531462361,(((19:[&rate=0.0019557929961755488]3.578795792221648,(21:[&rate=0.001980381802428329]2.8392917257427754,20:[&rate=0.0022111140681 [...]
-tree STATE_2720000 [&lnP=-22218.915298780263] = [&R] ((33:[&rate=0.002823750256373248]98.23963518456566,(((((16:[&rate=0.0030836311292806082]39.88783352160931,((8:[&rate=0.003006153342489476]23.30434851004026,10:[&rate=0.0027700954294891276]23.30434851004026):[&rate=0.002743671985636505]15.359171984874887,((3:[&rate=0.002579781544504951]17.748935533903804,5:[&rate=0.0024014136000694093]17.748935533903804):[&rate=0.0027833768165828584]19.689642413148363,(7:[&rate=0.002730489136126713]27.0 [...]
-tree STATE_2730000 [&lnP=-22220.748742019496] = [&R] ((14:[&rate=0.002501217056621645]119.71063599920622,(33:[&rate=0.002312269902924484]104.61593540381304,(((((((3:[&rate=0.002139424830367305]17.145520579245037,5:[&rate=0.002256774676068968]17.145520579245037):[&rate=0.0020820444512601615]22.18934279318413,((11:[&rate=0.0023031432404127944]7.80107984546331,12:[&rate=0.002584333706504783]7.80107984546331):[&rate=0.0022472362675152124]25.926044548967607,(13:[&rate=0.0020820444512601615]26 [...]
-tree STATE_2740000 [&lnP=-22221.742087081722] = [&R] ((33:[&rate=0.0021632632312377593]125.30645945268958,(((((16:[&rate=0.002012821775421427]49.49033194951689,((8:[&rate=0.0024083058466150852]28.47415136488829,10:[&rate=0.002061978742006315]28.47415136488829):[&rate=0.0018881177770367992]19.69720281796965,((3:[&rate=0.0022406228173254945]17.617309753115542,5:[&rate=0.0019038189907547736]17.617309753115542):[&rate=0.002023011655454783]24.61136381005906,((11:[&rate=0.002080720335857242]9. [...]
-tree STATE_2750000 [&lnP=-22205.400999269994] = [&R] (((14:[&rate=0.003297295226060144]65.99014697196193,(((((16:[&rate=0.0033621174719728475]28.005168886942847,(8:[&rate=0.003468860672904959]15.785576518743053,10:[&rate=0.0030586623092645907]15.785576518743053):[&rate=0.0033621174719728475]12.219592368199795):[&rate=0.0033406474726721557]0.6364274336796143,(((11:[&rate=0.0035119056265411853]5.32576126723101,12:[&rate=0.0036931291114204357]5.32576126723101):[&rate=0.0038782472539519233]1 [...]
-tree STATE_2760000 [&lnP=-22225.568033770647] = [&R] ((((((((((((11:[&rate=0.002570743405447325]6.82399317960951,12:[&rate=0.0024302644804681125]6.82399317960951):[&rate=0.0029119364068235553]15.483863927325999,13:[&rate=0.0025242855220993367]22.307857106935508):[&rate=0.00234692110544544]3.1003099249251633,7:[&rate=0.0027509829591092884]25.40816703186067):[&rate=0.002132288741108235]6.700435762305943,(3:[&rate=0.002570743405447325]12.048764977602533,5:[&rate=0.0027875500250101447]12.048 [...]
-tree STATE_2770000 [&lnP=-22201.764140492385] = [&R] (((33:[&rate=0.0026255387096432736]91.11871260780104,((((16:[&rate=0.0025118752971427082]34.99081947098,((((7:[&rate=0.003382474858852751]22.491396538732808,13:[&rate=0.00199804550326245]22.491396538732808):[&rate=0.003545658815671847]3.014257300808186,(11:[&rate=0.002896281009711077]5.648226152908784,12:[&rate=0.0031210144615522457]5.648226152908784):[&rate=0.0026255387096432736]19.85742768663221):[&rate=0.0037900056606085296]3.437949 [...]
-tree STATE_2780000 [&lnP=-22230.41672661192] = [&R] (((((((((((7:[&rate=0.0023820081453844893]21.042124277954425,13:[&rate=0.002972115540465189]21.042124277954425):[&rate=0.002728822098521892]5.156939555735306,(11:[&rate=0.0024771700665137323]8.17586249214261,12:[&rate=0.002133889904969796]8.17586249214261):[&rate=0.0026827363238366687]18.02320134154712):[&rate=0.002828928457383001]8.505641923055212,(3:[&rate=0.002221851407927922]13.763174380659244,5:[&rate=0.002652894056656979]13.763174 [...]
-tree STATE_2790000 [&lnP=-22210.46450793055] = [&R] ((14:[&rate=0.0023299073314275924]98.18164369078714,(33:[&rate=0.0027867035409825185]96.54556795144909,(((16:[&rate=0.0022244881284065945]38.084656906044074,((((8:[&rate=0.0029044173743018606]22.858015759751716,10:[&rate=0.00260591933558669]22.858015759751716):[&rate=0.0038154637780316494]10.638752302425019,(3:[&rate=0.0024377725364635437]17.192155550175972,5:[&rate=0.002074201406803739]17.192155550175972):[&rate=0.0027314413577302693]1 [...]
-tree STATE_2800000 [&lnP=-22218.859933045223] = [&R] ((33:[&rate=0.002245908015723882]112.86661738056402,(14:[&rate=0.0024753683123124627]100.1164937837575,(((((((3:[&rate=0.002441691276968035]15.73863713486941,5:[&rate=0.0024642568820689758]15.73863713486941):[&rate=0.0021471639946270015]21.275085606258603,((7:[&rate=0.0025517915187506296]28.418457264066692,13:[&rate=0.0023137535392250526]28.418457264066692):[&rate=0.0024642568820689758]3.5934557105778033,(11:[&rate=0.002298310732176698 [...]
-tree STATE_2810000 [&lnP=-22220.906279633105] = [&R] (((14:[&rate=0.0024271097465637403]91.46800459696193,((((16:[&rate=0.0024271097465637403]40.0196498963875,(((8:[&rate=0.0024842491935613297]21.58613364314203,10:[&rate=0.0023776558553833833]21.58613364314203):[&rate=0.002473083275645565]14.867362935752315,(3:[&rate=0.0030574258553206575]12.54068992781497,5:[&rate=0.0029228297599825283]12.54068992781497):[&rate=0.0022536775010734453]23.912806651079375):[&rate=0.0023218485469667484]1.413 [...]
-tree STATE_2820000 [&lnP=-22213.398170839075] = [&R] (((33:[&rate=0.002379556576947075]106.06607412817404,((((((8:[&rate=0.0025176563096757447]20.503241912393154,10:[&rate=0.0024037838069712824]20.503241912393154):[&rate=0.002280036343957687]21.50177268340018,(((11:[&rate=0.0025176563096757447]6.491951670378554,12:[&rate=0.0017986073406777543]6.491951670378554):[&rate=0.002055307734546384]25.447960921220755,(13:[&rate=0.0018472380197981685]28.489023089525276,7:[&rate=0.002391529515555361 [...]
-tree STATE_2830000 [&lnP=-22212.470396302007] = [&R] (((33:[&rate=0.0028394938008213964]85.44997698218904,((((((23:[&rate=0.002574267881692921]13.411573187023974,17:[&rate=0.0026515235778146362]13.411573187023974):[&rate=0.0030841678701912616]8.193159854188773,((24:[&rate=0.0027897886126980274]11.605224180053753,((19:[&rate=0.002822954038942277]3.0418508812157583,(20:[&rate=0.0029742232120199786]2.230153952351536,21:[&rate=0.0030841678701912616]2.230153952351536):[&rate=0.003600040655187 [...]
-tree STATE_2840000 [&lnP=-22218.23923370469] = [&R] ((33:[&rate=0.001917904474652876]109.67573097940812,(14:[&rate=0.003237381675759086]96.72825527790971,((((((22:[&rate=0.002888258803750854]21.893781710962944,((15:[&rate=0.002793366737494569]11.23636618924778,(21:[&rate=0.003157240546225938]4.338123078112482,(20:[&rate=0.0022216479003506285]2.4282687168664094,19:[&rate=0.0022216479003506285]2.4282687168664094):[&rate=0.0034512147498592556]1.9098543612460728):[&rate=0.0030549513455678935 [...]
-tree STATE_2850000 [&lnP=-22222.194816670846] = [&R] (((33:[&rate=0.002861359355450761]86.07724413281757,((((((23:[&rate=0.0026948912467841587]10.781094154906492,17:[&rate=0.002479132943888348]10.781094154906492):[&rate=0.0027534782915272157]12.205422430505477,(((15:[&rate=0.00284783205191875]10.115775403149089,((21:[&rate=0.002678529525093381]3.1608485117299536,20:[&rate=0.0027920320315332646]3.1608485117299536):[&rate=0.002835380907526719]1.0420001933677692,19:[&rate=0.0027102521078885 [...]
-tree STATE_2860000 [&lnP=-22216.59820664511] = [&R] (((14:[&rate=0.0030185805229394095]79.48355693371924,((((16:[&rate=0.002904080505123716]34.912917498951046,(((7:[&rate=0.0028518544972115072]25.222309702055988,(13:[&rate=0.002719157371417216]21.7130215784111,(11:[&rate=0.0036583429602644628]5.013159901887509,12:[&rate=0.002955373677970042]5.013159901887509):[&rate=0.002872996491617367]16.699861676523593):[&rate=0.0028410968978820994]3.509288123644886):[&rate=0.002671991642756303]6.1920 [...]
-tree STATE_2870000 [&lnP=-22218.958906131615] = [&R] (((33:[&rate=0.0019628483129667256]126.76062442403801,((((16:[&rate=0.0024469413193774357]46.798953323093826,((((11:[&rate=0.0024131257344943155]9.962018401102497,12:[&rate=0.001783472501297847]9.962018401102497):[&rate=0.0021962411569221045]26.30766241014789,(13:[&rate=0.001646201656183405]32.70161997403644,7:[&rate=0.002027632928623471]32.70161997403644):[&rate=0.0021282512216069063]3.568060837213949):[&rate=0.0021827107683840157]6.0 [...]
-tree STATE_2880000 [&lnP=-22213.841089405494] = [&R] (((33:[&rate=0.003022714464672476]83.16142814540123,(((((((7:[&rate=0.002928116177998788]22.57296765755797,(13:[&rate=0.002824284299735443]16.68554481549016,(11:[&rate=0.0031080040394601653]6.312837319533433,12:[&rate=0.002946269260334698]6.312837319533433):[&rate=0.003416112700662471]10.372707495956728):[&rate=0.0035907008923306573]5.88742284206781):[&rate=0.003181076449218578]3.3342529792181494,(3:[&rate=0.0028926692143341776]12.0504 [...]
-tree STATE_2890000 [&lnP=-22204.414289961504] = [&R] (((((((((((11:[&rate=0.0031367737907422246]5.336573929704137,12:[&rate=0.003414652234217353]5.336573929704137):[&rate=0.003981814904966507]14.08972004864124,(13:[&rate=0.0025559754457183826]16.802051783105746,7:[&rate=0.003352163006189443]16.802051783105746):[&rate=0.00385231993372098]2.6242421952396313):[&rate=0.0034350103181162864]4.077823690763729,(3:[&rate=0.004320165544264433]8.975861759217652,5:[&rate=0.0034752659762349444]8.9758 [...]
-tree STATE_2900000 [&lnP=-22207.735344477984] = [&R] ((33:[&rate=0.0024487407620406914]109.97110500315014,(14:[&rate=0.0022895048137159925]99.69831254940975,((((((((11:[&rate=0.0020051427638170852]8.584112982237032,12:[&rate=0.002089472679839398]8.584112982237032):[&rate=0.00315465668563747]18.46722630998582,(13:[&rate=0.002109047523410628]22.02413797280654,7:[&rate=0.0034775567063001387]22.02413797280654):[&rate=0.0023592761066492476]5.02720131941631):[&rate=0.002430496592355385]6.41180 [...]
-tree STATE_2910000 [&lnP=-22211.153500816334] = [&R] (((((((((22:[&rate=0.0031370419534905193]19.989575295191976,(23:[&rate=0.00276453361853127]10.785605583791972,17:[&rate=0.0024402196989961223]10.785605583791972):[&rate=0.0030806548989312597]9.203969711400005):[&rate=0.002809938020714331]0.08164744248805889,(24:[&rate=0.003197176613191258]13.132826853762921,(15:[&rate=0.002809938020714331]11.738666598956502,((21:[&rate=0.0035547165101940457]1.752359275416737,20:[&rate=0.003262084399955 [...]
-tree STATE_2920000 [&lnP=-22225.716020967564] = [&R] (((14:[&rate=0.0027395947889757868]85.2755145198573,(((((22:[&rate=0.002603606201474611]24.942185038559487,((23:[&rate=0.0026630803856810526]10.059103159678221,17:[&rate=0.0023907113329460763]10.059103159678221):[&rate=0.0028528721143495648]12.968890227542213,(24:[&rate=0.0028890215581910154]13.460851044674458,(15:[&rate=0.0024650776664649683]9.215028672788517,((20:[&rate=0.0027199197093437577]2.4906892254396746,19:[&rate=0.00246507766 [...]
-tree STATE_2930000 [&lnP=-22215.006068952618] = [&R] ((33:[&rate=0.002586080996900775]103.07772719763199,((((((22:[&rate=0.0025707416470076277]23.87747946134675,((23:[&rate=0.0024131766299062777]12.541775378842683,17:[&rate=0.0024131766299062777]12.541775378842683):[&rate=0.002770350980872215]10.639492642501601,(24:[&rate=0.0026153293055372496]14.123329079895713,(15:[&rate=0.002979702973750006]11.825896814489145,((19:[&rate=0.0026697355394368553]2.2112753205796283,20:[&rate=0.00264308680 [...]
-tree STATE_2940000 [&lnP=-22217.038006728504] = [&R] (((14:[&rate=0.0021300136186739754]93.66904765147288,((((((8:[&rate=0.0022122545542172314]26.213939152204897,10:[&rate=0.0022274699417108453]26.213939152204897):[&rate=0.0021300136186739754]14.303580936742133,((((11:[&rate=0.0031387201474373004]6.277252024204196,12:[&rate=0.0027024449462841977]6.277252024204196):[&rate=0.002468225560557251]18.81713868133857,13:[&rate=0.0020725991166861556]25.094390705542764):[&rate=0.002147517459998963 [...]
-tree STATE_2950000 [&lnP=-22216.25328230731] = [&R] ((14:[&rate=0.0024807207046880046]109.3935837575948,(((((((8:[&rate=0.0025600712283733043]24.596295969815838,10:[&rate=0.0028008888633966047]24.596295969815838):[&rate=0.0030688192334787146]15.153318480572157,((3:[&rate=0.002961254812415752]16.499762158663778,5:[&rate=0.0017002189446654137]16.499762158663778):[&rate=0.002822349682014112]19.92881067607692,((7:[&rate=0.0030985763736377787]22.557939020324106,13:[&rate=0.00225950562752109]2 [...]
-tree STATE_2960000 [&lnP=-22204.323094795916] = [&R] ((33:[&rate=0.003323125298990019]73.97687783983737,(((((((23:[&rate=0.003339097979594041]8.253336521165416,17:[&rate=0.0034458341489998494]8.253336521165416):[&rate=0.0029520332392305683]11.54251029300336,((24:[&rate=0.0034008625135010686]9.096803691354806,(15:[&rate=0.0040748051549625176]6.17953673791645,((21:[&rate=0.003273275235496478]2.091910584086355,20:[&rate=0.0037315511525574693]2.091910584086355):[&rate=0.0029932177391293158]1 [...]
-tree STATE_2970000 [&lnP=-22211.847659134673] = [&R] ((33:[&rate=0.0021987133536732974]93.48180171874357,(((((((22:[&rate=0.002398348654421385]25.84829838305516,(24:[&rate=0.003284349444826839]14.440837734877025,(15:[&rate=0.0027920628630505396]11.785875331511244,(21:[&rate=0.0021109627972482167]5.5487919217510075,(20:[&rate=0.003241235692259856]3.55220911934856,19:[&rate=0.002378746820159483]3.55220911934856):[&rate=0.003473126105350415]1.9965828024024477):[&rate=0.00310897778694232]6.2 [...]
-tree STATE_2980000 [&lnP=-22218.79580794304] = [&R] ((14:[&rate=0.0023310427753642105]106.51019873848229,(((((((22:[&rate=0.0031459694265666216]22.117736892260766,(24:[&rate=0.0024601382366105633]10.138418042199332,(15:[&rate=0.0027312627244269606]9.347164675851735,((20:[&rate=0.002875248752068815]1.9957967056927837,21:[&rate=0.0032856177038926423]1.9957967056927837):[&rate=0.0032546629670086305]0.31492649041493204,19:[&rate=0.0026954401939737957]2.3107231961077157):[&rate=0.002990563903 [...]
-tree STATE_2990000 [&lnP=-22230.225890667225] = [&R] ((33:[&rate=0.0021005395845233735]115.4281723702241,(14:[&rate=0.002155212652006385]107.0731405744553,(((((((23:[&rate=0.001866038867218425]15.430234834631959,17:[&rate=0.0022592495599736526]15.430234834631959):[&rate=0.00230652331260848]13.319818913459384,(24:[&rate=0.002041579258930057]18.936437725084094,(15:[&rate=0.002403213246176178]13.331404980605877,((20:[&rate=0.002072068997886932]3.43814288156887,21:[&rate=0.002286413217780124 [...]
-tree STATE_3000000 [&lnP=-22229.504914970017] = [&R] ((33:[&rate=0.0023940949893285156]104.03013416893735,(14:[&rate=0.002304904750654169]93.22329392891582,((((((22:[&rate=0.0022535061881630665]26.48978353723367,(((19:[&rate=0.0024289061010812933]2.6252133521597827,20:[&rate=0.002461034851193743]2.6252133521597827):[&rate=0.0022952714414588987]1.1546377603624638,21:[&rate=0.002236877035630583]3.7798511125222465):[&rate=0.0023900633240036113]12.056044516001753,(24:[&rate=0.002410797662794 [...]
-tree STATE_3010000 [&lnP=-22219.250045503675] = [&R] (((14:[&rate=0.0026865041842570147]80.51234149076149,((((16:[&rate=0.002901909762148775]37.42704553519559,((8:[&rate=0.0026199072607611595]20.8179398627689,10:[&rate=0.0028624342618214556]20.8179398627689):[&rate=0.0028881911875412265]15.632558874790586,((3:[&rate=0.002569569258102785]15.101098603788838,5:[&rate=0.0023899011813037297]15.101098603788838):[&rate=0.0026770760357193273]16.30959339989341,((7:[&rate=0.0027839269880157403]19. [...]
-tree STATE_3020000 [&lnP=-22227.559370755516] = [&R] (((33:[&rate=0.001943836682429629]115.612178859287,((((16:[&rate=0.001865101899883374]44.76008935267781,(((3:[&rate=0.0024180235923166927]16.644757235524683,5:[&rate=0.00209707546218696]16.644757235524683):[&rate=0.0017756017832052846]20.695580787896365,((7:[&rate=0.002133091999040645]24.329756030093694,13:[&rate=0.002074625955052692]24.329756030093694):[&rate=0.00209707546218696]7.6690304823467415,(11:[&rate=0.0019728332998940664]8.68 [...]
-tree STATE_3030000 [&lnP=-22220.0195876856] = [&R] ((14:[&rate=0.002020132055688552]113.56647369587391,(33:[&rate=0.002385283153708466]102.88897986936901,((((((8:[&rate=0.002530799481885664]28.090352557762234,10:[&rate=0.00267715150188322]28.090352557762234):[&rate=0.003528413544206895]9.752830763582356,((3:[&rate=0.0030361842853052117]12.501714010177913,5:[&rate=0.0027370019134052483]12.501714010177913):[&rate=0.0025897071271790586]22.16150999019061,((7:[&rate=0.0031545609347019407]24.3 [...]
-tree STATE_3040000 [&lnP=-22208.575849458575] = [&R] ((33:[&rate=0.0024360019683955067]104.72851519565948,(14:[&rate=0.002691235897094774]86.3133521111971,((((((8:[&rate=0.003303230519237211]19.638174663928883,10:[&rate=0.0027959124733383566]19.638174663928883):[&rate=0.0030797143071372005]13.115618776124986,((7:[&rate=0.003540016130051065]24.852666753474544,(13:[&rate=0.0032661512252638815]20.42387320346495,(11:[&rate=0.0031981288205010132]7.073559759266692,12:[&rate=0.00238905418360434 [...]
-tree STATE_3050000 [&lnP=-22220.609320940217] = [&R] ((33:[&rate=0.0029487632180686665]97.71366858925073,((((((((23:[&rate=0.0020698186072990953]13.042440422553154,17:[&rate=0.0025699678625090904]13.042440422553154):[&rate=0.0022802478907675634]11.16921215256774,((((20:[&rate=0.002874115031244821]2.931495747843275,21:[&rate=0.002312668756279732]2.931495747843275):[&rate=0.002775969629445663]1.4313610123342522,19:[&rate=0.0027587731417923088]4.362856760177527):[&rate=0.002978119707227222] [...]
-tree STATE_3060000 [&lnP=-22218.195925226966] = [&R] ((33:[&rate=0.002624981323855955]94.9603299285283,(((((((((((21:[&rate=0.003568291726292644]3.010077663140437,20:[&rate=0.003823503083257254]3.010077663140437):[&rate=0.0034399467442688568]0.17528767956149283,19:[&rate=0.002780725586974055]3.18536534270193):[&rate=0.003346191187563358]6.835896170817302,15:[&rate=0.0028143772137954443]10.021261513519232):[&rate=0.002624981323855955]1.1987208657980162,24:[&rate=0.0031130466668955166]11.2 [...]
-tree STATE_3070000 [&lnP=-22219.8685260703] = [&R] ((33:[&rate=0.002490659424546961]102.96142398523854,(((((((8:[&rate=0.0027077570521022282]25.995196243282447,10:[&rate=0.0024522805933453445]25.995196243282447):[&rate=0.002952480600994952]10.934857671470478,((3:[&rate=0.002307413694804138]15.198131582362587,5:[&rate=0.002252669484795328]15.198131582362587):[&rate=0.002911149059728767]17.81919627501933,((7:[&rate=0.0027655641779661295]23.656214629380038,13:[&rate=0.002967063243190053]23. [...]
-tree STATE_3080000 [&lnP=-22211.18795543984] = [&R] (((33:[&rate=0.0035812965393088587]79.54077890554106,(((((((22:[&rate=0.0033082988191082906]19.494475020459433,(24:[&rate=0.003323248229479546]10.42740152003554,((19:[&rate=0.003928768467088559]3.3519363570799774,(21:[&rate=0.0030659017191213707]2.3048114577300796,20:[&rate=0.0035274420885153153]2.3048114577300796):[&rate=0.0034772088775107454]1.0471248993498978):[&rate=0.003493627529613961]4.545274192283972,15:[&rate=0.0035628565400102 [...]
-tree STATE_3090000 [&lnP=-22224.048127550515] = [&R] ((33:[&rate=0.0019740242803822487]104.08597801890208,((((((8:[&rate=0.0025154702879799772]23.884576053941277,10:[&rate=0.0029121975141992006]23.884576053941277):[&rate=0.002997085719494379]12.232521997445861,(16:[&rate=0.0025154702879799772]34.656608473842475,((3:[&rate=0.003371229925101664]14.243537011132652,5:[&rate=0.0024968902507965566]14.243537011132652):[&rate=0.003019964911639146]14.68368641708814,((7:[&rate=0.003094119633141494 [...]
-tree STATE_3100000 [&lnP=-22209.165511334835] = [&R] ((33:[&rate=0.0026645354243556955]108.18549462688918,(14:[&rate=0.0033050587622624455]79.94262480291194,((((16:[&rate=0.0028890639252862507]33.8863632047369,(((3:[&rate=0.0031959205840335764]12.945482373202953,5:[&rate=0.0028187645760979927]12.945482373202953):[&rate=0.0028716825712005204]18.623579398664102,(8:[&rate=0.002705886550811751]19.548342120072046,10:[&rate=0.002620125915887068]19.548342120072046):[&rate=0.0029236253510654744] [...]
-tree STATE_3110000 [&lnP=-22213.417882876292] = [&R] ((33:[&rate=0.002797056850511351]101.80588364416653,(14:[&rate=0.002930752487493713]87.35131139019728,(((((((3:[&rate=0.0029907477395612996]13.461793152937211,5:[&rate=0.002736223811132913]13.461793152937211):[&rate=0.003001023326398829]18.467899294864942,(((11:[&rate=0.003203653829766404]5.549630582007304,12:[&rate=0.0032216599454903995]5.549630582007304):[&rate=0.0032216599454903995]15.837138370737083,13:[&rate=0.002595456653519593]2 [...]
-tree STATE_3120000 [&lnP=-22209.6628309426] = [&R] ((33:[&rate=0.002137528048858522]101.29809807462252,(14:[&rate=0.003001878950636311]81.22413078053364,((((((((24:[&rate=0.002737424924641064]12.9232378463922,(15:[&rate=0.0021149276764287762]11.506321956923196,(19:[&rate=0.002293164358571984]5.4222431853827295,(20:[&rate=0.0017755044404759311]4.5154101214307145,21:[&rate=0.0026765131243369745]4.5154101214307145):[&rate=0.0030385322027125026]0.906833063952015):[&rate=0.0028042277332520254 [...]
-tree STATE_3130000 [&lnP=-22215.675375070114] = [&R] ((33:[&rate=0.0023533993074951716]106.58311338808738,(14:[&rate=0.0025376180167908592]93.22008676166735,((((16:[&rate=0.002290198503639436]40.61951089561571,(((3:[&rate=0.002632472508553214]14.691597407342863,5:[&rate=0.0023018949597141455]14.691597407342863):[&rate=0.002447670171003085]21.75735070748373,(((11:[&rate=0.002512479597155251]8.242286684554456,12:[&rate=0.0024961057443138625]8.242286684554456):[&rate=0.002782387425169042]15 [...]
-tree STATE_3140000 [&lnP=-22209.3921614373] = [&R] (((9:[&rate=0.005183456332354666]66.30677443730353,33:[&rate=0.003529571809738315]66.30677443730353):[&rate=0.0039109921297891224]8.373134824862689,((((16:[&rate=0.0034867101338340437]24.845523311282285,(((3:[&rate=0.004339698565814479]9.05162456622128,5:[&rate=0.0034653182800335096]9.05162456622128):[&rate=0.0039109921297891224]13.870662570932312,((7:[&rate=0.0036839701731661225]16.960296287255368,13:[&rate=0.0032674032548518374]16.9602 [...]
-tree STATE_3150000 [&lnP=-22216.519152127727] = [&R] ((14:[&rate=0.0032755545398870144]81.01304365848453,(((((((23:[&rate=0.00328989644698126]8.301553498697336,17:[&rate=0.00329992943421599]8.301553498697336):[&rate=0.0032597150887507275]10.898052475984494,(22:[&rate=0.0032799238107104308]18.251520769926834,((((21:[&rate=0.00328101071625549]2.821141081056865,20:[&rate=0.0032637921164611946]2.821141081056865):[&rate=0.003285387265086927]2.588316383477718,19:[&rate=0.003329718622531088]5.4 [...]
-tree STATE_3160000 [&lnP=-22221.051428429408] = [&R] (((14:[&rate=0.0024649881642744625]89.68270665267018,((((((((((21:[&rate=0.002087262937693701]2.1405709142278253,20:[&rate=0.003136075197147481]2.1405709142278253):[&rate=0.0033527988661017022]2.24500415455426,19:[&rate=0.0025144460620194604]4.385575068782085):[&rate=0.003745755401807416]8.097457451379489,15:[&rate=0.0018995017956801928]12.483032520161574):[&rate=0.0021736436138158895]2.5349042656849132,24:[&rate=0.002936911700527678]1 [...]
-tree STATE_3170000 [&lnP=-22223.928833719914] = [&R] (((14:[&rate=0.0027871945993925896]76.5734863404308,33:[&rate=0.0028267786279561886]76.5734863404308):[&rate=0.0029372096018431782]6.9570880946721445,((((((23:[&rate=0.0031476247326173287]9.533513157508748,17:[&rate=0.002908511339321498]9.533513157508748):[&rate=0.0024455209925541787]12.21351590130706,((24:[&rate=0.003066711808992235]12.357787706908326,(15:[&rate=0.0026236889736598996]8.906796004339565,(19:[&rate=0.002922737614415951]5 [...]
-tree STATE_3180000 [&lnP=-22219.46047372005] = [&R] (((14:[&rate=0.0024041288079134967]96.68341729765892,(((((((3:[&rate=0.0023234981599371237]15.391953975018792,5:[&rate=0.0021848225863992468]15.391953975018792):[&rate=0.002039530560839975]25.14886774172451,((11:[&rate=0.002039530560839975]8.715342508032355,12:[&rate=0.0016884649631646134]8.715342508032355):[&rate=0.002039530560839975]25.467624206789537,(13:[&rate=0.0021318259060419805]30.544227278706742,7:[&rate=0.0021848225863992468]3 [...]
-tree STATE_3190000 [&lnP=-22207.150114795113] = [&R] (((14:[&rate=0.004133534960267653]57.886494568916575,33:[&rate=0.0039509810346504025]57.886494568916575):[&rate=0.003875543771026197]4.894940565420335,((((((23:[&rate=0.0039937817497952294]7.586792646403218,17:[&rate=0.0038594917648497092]7.586792646403218):[&rate=0.003552730902944113]7.717091774029848,((24:[&rate=0.004147836343624633]8.873985739906425,(15:[&rate=0.0046435898725207874]4.822556642229268,((21:[&rate=0.004287020407733401] [...]
-tree STATE_3200000 [&lnP=-22241.74386686494] = [&R] ((33:[&rate=0.0017424854529337686]156.12912851740023,(14:[&rate=0.0017622855606260728]129.15688387053953,((((16:[&rate=0.0013890420377397014]59.380032050603546,(((((11:[&rate=0.0018032889526837614]11.591567003687498,12:[&rate=0.0016304565244873181]11.591567003687498):[&rate=0.0018485663406673605]25.629122910849762,13:[&rate=0.0014794209018404575]37.22068991453726):[&rate=0.0016221791857384288]4.460162937031974,7:[&rate=0.001638457173956 [...]
-tree STATE_3210000 [&lnP=-22219.313469762557] = [&R] ((14:[&rate=0.001999267139010275]120.51876676292059,(((((16:[&rate=0.0020305770283602018]47.15986331230295,(((((11:[&rate=0.0027814414651896008]6.814788634545791,12:[&rate=0.0024480747124286085]6.814788634545791):[&rate=0.002730587321492569]18.752410294476654,13:[&rate=0.0018557721205891156]25.567198929022446):[&rate=0.0021200540294618628]5.724852732471589,7:[&rate=0.0023510762907807408]31.292051661494035):[&rate=0.0026044327794034817] [...]
-tree STATE_3220000 [&lnP=-22206.69085204883] = [&R] (((14:[&rate=0.003206467494973671]67.54639009894272,((((16:[&rate=0.0026436555616610406]34.707085336536046,(((7:[&rate=0.002620507306148991]25.5178356062885,((11:[&rate=0.0029621017556255526]7.730078909697055,12:[&rate=0.002184659298986466]7.730078909697055):[&rate=0.0028582032064682138]14.972058872988637,13:[&rate=0.002382179703662384]22.702137782685693):[&rate=0.002909145982263805]2.8156978236028074):[&rate=0.0025275568418773606]5.159 [...]
-tree STATE_3230000 [&lnP=-22213.829933985973] = [&R] ((33:[&rate=0.003238025766203249]75.5413012272467,(14:[&rate=0.003732832207722966]72.3453314279537,(((((((23:[&rate=0.0031619695152891036]7.293505905276626,17:[&rate=0.0037941364213527726]7.293505905276626):[&rate=0.0025594222533867777]10.184936808037293,(24:[&rate=0.0036189740184090434]9.234388772770654,(15:[&rate=0.002803057829818212]8.487642975518945,(19:[&rate=0.0035918991878145113]4.882028445438004,(21:[&rate=0.0033373840895744938 [...]
-tree STATE_3240000 [&lnP=-22214.199102433602] = [&R] ((33:[&rate=0.0021641370247930895]98.0139722601835,(14:[&rate=0.0032315714499850583]84.65953547125238,(((((((23:[&rate=0.002416663883239611]9.301313363553325,17:[&rate=0.0025417582594110906]9.301313363553325):[&rate=0.0022322326217101745]15.326939146931421,((24:[&rate=0.0027497781130302393]14.751927076157028,(15:[&rate=0.002610083225538292]11.206028903996195,(19:[&rate=0.0025752119039200464]4.9077169387130155,(21:[&rate=0.0030862773976 [...]
-tree STATE_3250000 [&lnP=-22222.14813397427] = [&R] ((33:[&rate=0.0018705173219384446]136.5278668887091,(14:[&rate=0.002069711011049048]126.84683413751323,(((((((3:[&rate=0.0024817155094167434]14.649776163689587,5:[&rate=0.0017733188987758782]14.649776163689587):[&rate=0.002101568272289771]23.919917022675,((11:[&rate=0.00241458290986266]6.8038297745093,12:[&rate=0.002249534634967283]6.8038297745093):[&rate=0.002220620269314895]24.06734320552309,(7:[&rate=0.002322463694867118]28.516038844 [...]
-tree STATE_3260000 [&lnP=-22219.305618693917] = [&R] ((33:[&rate=0.0021967381807147537]121.65961550001681,(14:[&rate=0.002667169432877349]97.10969088027394,((((((3:[&rate=0.0023571466216850065]16.453116451404778,5:[&rate=0.002456725157613787]16.453116451404778):[&rate=0.002037421595092202]19.86868943481377,((11:[&rate=0.0024236202480075585]6.923469920254374,12:[&rate=0.0025407819645107002]6.923469920254374):[&rate=0.0019404528824619096]26.200123768248485,(7:[&rate=0.0028167722469871845]2 [...]
-tree STATE_3270000 [&lnP=-22216.432457194947] = [&R] ((14:[&rate=0.001857529277718954]101.27215240864209,(33:[&rate=0.0032938288349971994]75.97775062307213,((((((3:[&rate=0.0024681477769122515]16.2031154102557,5:[&rate=0.0020395661056022006]16.2031154102557):[&rate=0.0024060141931406074]15.794208630145725,((11:[&rate=0.0023897263615262967]7.394066376454647,12:[&rate=0.0026144471216975615]7.394066376454647):[&rate=0.002483134593116667]19.301560394109924,(7:[&rate=0.002856842059035317]22.2 [...]
-tree STATE_3280000 [&lnP=-22222.635794860373] = [&R] ((14:[&rate=0.002783743034226462]98.34213030395564,(33:[&rate=0.0031078848346913048]87.48728225281741,((((((23:[&rate=0.0026011123347410453]10.06201601542542,17:[&rate=0.0028276002753179633]10.06201601542542):[&rate=0.002881748679733045]11.730322188627962,((24:[&rate=0.00246491489931474]12.245885843657872,((19:[&rate=0.0022783109352228076]2.6619410768026945,(21:[&rate=0.0029962029439858664]1.9623338265863808,20:[&rate=0.002816734083250 [...]
-tree STATE_3290000 [&lnP=-22214.078901799152] = [&R] (((14:[&rate=0.0026806203446577753]87.08062521497013,(((16:[&rate=0.002850275679772025]32.74728687387322,(((8:[&rate=0.0033481839675563937]18.826245015922638,10:[&rate=0.0027330878129418457]18.826245015922638):[&rate=0.003228130245427762]10.904755269068247,((3:[&rate=0.0033909341749716864]12.21920044480662,5:[&rate=0.003031148247456231]12.21920044480662):[&rate=0.0031633890078495955]14.42741124039031,((11:[&rate=0.0033481839675563937]6 [...]
-tree STATE_3300000 [&lnP=-22215.249306806305] = [&R] (((14:[&rate=0.0022860618617049546]99.79050425810735,((((((((11:[&rate=0.0027188090086385404]6.354762960866544,12:[&rate=0.002699340123344793]6.354762960866544):[&rate=0.002504822232820313]21.7714726993175,(7:[&rate=0.0027723151758378413]24.32029190254658,13:[&rate=0.002432896343091034]24.32029190254658):[&rate=0.002455080461438464]3.805943757637465):[&rate=0.0026360415070013367]7.1797588839461355,(3:[&rate=0.002408661241159663]18.0512 [...]
-tree STATE_3310000 [&lnP=-22219.25555634369] = [&R] (((((((((23:[&rate=0.002684636925391143]12.444765817728921,17:[&rate=0.002194167802235819]12.444765817728921):[&rate=0.001981936309236425]12.40640044050695,((24:[&rate=0.002943774581694044]16.422291675976826,(((21:[&rate=0.0024528969811412524]2.119060374724645,20:[&rate=0.0026431844393563263]2.119060374724645):[&rate=0.002210149062923252]2.5457295483154856,19:[&rate=0.0019263447139282045]4.66478992304013):[&rate=0.0024685785654842826]6. [...]
-tree STATE_3320000 [&lnP=-22214.74727538757] = [&R] (((((((((8:[&rate=0.0025983332856866154]24.89069614090237,10:[&rate=0.0025522072711097257]24.89069614090237):[&rate=0.0025700952485936063]13.810375229569544,(((11:[&rate=0.0021987476793951053]8.975446707700664,12:[&rate=0.002266424633864683]8.975446707700664):[&rate=0.0023155248124181052]20.91410042195512,(7:[&rate=0.0026511727792200386]23.90057799531229,13:[&rate=0.002146066927298319]23.90057799531229):[&rate=0.002702455096664446]5.988 [...]
-tree STATE_3330000 [&lnP=-22220.874853213616] = [&R] ((14:[&rate=0.002867392294349715]98.194745827247,(33:[&rate=0.0028142454827744345]85.2132869293257,((((((((11:[&rate=0.002760143993791802]6.750834159653285,12:[&rate=0.0029026954587772365]6.750834159653285):[&rate=0.0025078622839247583]17.792276191007037,(7:[&rate=0.0037753579588542282]19.221849390999356,13:[&rate=0.002778338944410404]19.221849390999356):[&rate=0.0028850378955006493]5.321260959660965):[&rate=0.0033097533119221955]2.447 [...]
-tree STATE_3340000 [&lnP=-22214.70822013913] = [&R] ((33:[&rate=0.0027882028115083822]102.3253648366607,(14:[&rate=0.002850812248215131]87.3486354152482,((((((((11:[&rate=0.0027440687886718306]6.764769791815096,12:[&rate=0.00275538920385495]6.764769791815096):[&rate=0.0025487222978960843]19.611845848461854,(7:[&rate=0.003076797577078253]21.643246870103034,13:[&rate=0.002315780786458385]21.643246870103034):[&rate=0.0027325048916383085]4.733368770173918):[&rate=0.002570541142354105]4.85686 [...]
-tree STATE_3350000 [&lnP=-22222.615693595464] = [&R] (((14:[&rate=0.002705038357006529]103.53227760075984,((((16:[&rate=0.0023555919021217312]39.51260095000169,((((11:[&rate=0.002250014727766102]8.949729519685166,12:[&rate=0.0019285448465224111]8.949729519685166):[&rate=0.0030290431933236127]18.78692839218406,(7:[&rate=0.0024817759826411623]24.80513576967268,13:[&rate=0.0021819343705468046]24.80513576967268):[&rate=0.002437852915833959]2.931522142196542):[&rate=0.0020751855275548355]6.33 [...]
-tree STATE_3360000 [&lnP=-22223.167108239402] = [&R] (((33:[&rate=0.0026259790821153727]85.5138093943781,14:[&rate=0.0025509397480321504]85.5138093943781):[&rate=0.0024417324684414144]6.465946901442905,((((((8:[&rate=0.0029418793084049102]22.612458684461636,10:[&rate=0.0029147582202943383]22.612458684461636):[&rate=0.0024040679592476476]13.41070469650937,((7:[&rate=0.0025878796867993582]27.08073955389571,((11:[&rate=0.0028899771235566312]6.6173584241478185,12:[&rate=0.002454030424128157] [...]
-tree STATE_3370000 [&lnP=-22217.222034952116] = [&R] (((((((16:[&rate=0.00296106895265898]30.363555702040415,((((11:[&rate=0.003268926550191102]5.848229017312815,12:[&rate=0.003288027916419913]5.848229017312815):[&rate=0.004087112929203616]13.31052697627143,(7:[&rate=0.003288027916419913]17.522573597314658,13:[&rate=0.0028421647535907097]17.522573597314658):[&rate=0.003389140308245904]1.6361823962695858):[&rate=0.0023765227631358837]7.173880376580996,(3:[&rate=0.0031410653823011883]13.34 [...]
-tree STATE_3380000 [&lnP=-22220.54961054671] = [&R] ((((((((((11:[&rate=0.0031595027712932734]7.853714417300635,12:[&rate=0.0025226795871978306]7.853714417300635):[&rate=0.0024557213689136844]19.891435721847877,(7:[&rate=0.0028810588238647626]24.111047939798038,13:[&rate=0.0016796782338119]24.111047939798038):[&rate=0.0032470893837442264]3.634102199350476):[&rate=0.0018420130788897762]5.4675297560212,(3:[&rate=0.002648221960192672]16.17608862393276,5:[&rate=0.002255749157797337]16.176088 [...]
-tree STATE_3390000 [&lnP=-22223.139857176822] = [&R] (((((((((22:[&rate=0.0021669506279467345]21.99808156614131,((((20:[&rate=0.0025381488485967723]2.8742275769267533,21:[&rate=0.0026579778042315674]2.8742275769267533):[&rate=0.002151413849900681]2.633713475661771,19:[&rate=0.002094252508478543]5.507941052588524):[&rate=0.0026415986068935296]4.286827743898176,15:[&rate=0.00232254293627681]9.7947687964867):[&rate=0.0022843583621078123]5.610376326320045,24:[&rate=0.0023945428043701473]15.4 [...]
-tree STATE_3400000 [&lnP=-22217.05190710673] = [&R] (((((((((23:[&rate=0.0025215762030811662]10.45962302103143,17:[&rate=0.0021500115021747955]10.45962302103143):[&rate=0.0023136892265450963]13.324006230234275,(22:[&rate=0.0027596277761517828]22.878168211926024,((((19:[&rate=0.0023697321212077325]3.1667754737774367,20:[&rate=0.0023428722264554613]3.1667754737774367):[&rate=0.0022814538274015675]0.63436581216357,21:[&rate=0.002678029599015826]3.8011412859410068):[&rate=0.00246205428961149 [...]
-tree STATE_3410000 [&lnP=-22216.53840930539] = [&R] (((((((((23:[&rate=0.002838860615248787]11.485008744400428,17:[&rate=0.0030233717603514233]11.485008744400428):[&rate=0.0029529641559190617]10.532859677455217,((((21:[&rate=0.0026011393873813966]1.9498868907888656,20:[&rate=0.002838860615248787]1.9498868907888656):[&rate=0.0023224351721121716]1.8409168525366328,19:[&rate=0.0031107501390712526]3.7908037433254984):[&rate=0.0028056002157603433]7.376507913183063,15:[&rate=0.0030233717603514 [...]
-tree STATE_3420000 [&lnP=-22228.517465781428] = [&R] (((((((((23:[&rate=0.0019231282288069648]16.619470965378486,17:[&rate=0.001974544421930773]16.619470965378486):[&rate=0.002249121783786316]12.21546267528279,(22:[&rate=0.0021896873572227844]25.218335177571756,((((20:[&rate=0.002152192545990062]3.879861684775863,21:[&rate=0.0017770564970457574]3.879861684775863):[&rate=0.0021896873572227844]0.4028980450555024,19:[&rate=0.0024016414694103443]4.2827597298313655):[&rate=0.00213370090289928 [...]
-tree STATE_3430000 [&lnP=-22208.548843518452] = [&R] (((33:[&rate=0.003240772072671676]96.13523561856499,((((((((15:[&rate=0.002561740469655188]10.400716376057028,((20:[&rate=0.002852591542740454]2.9907516933017733,21:[&rate=0.002909956789946675]2.9907516933017733):[&rate=0.002474296597572209]0.5300878751488085,19:[&rate=0.0027520390032358425]3.5208395684505818):[&rate=0.0023431220942304177]6.879876807606447):[&rate=0.002489224505402948]4.18806950832289,24:[&rate=0.0027520390032358425]14 [...]
-tree STATE_3440000 [&lnP=-22234.10664589566] = [&R] (((14:[&rate=0.002469983793547029]100.06701463913834,((((16:[&rate=0.0024675478679208706]42.03055433838125,((((11:[&rate=0.002440143662583642]7.041365452364864,12:[&rate=0.0024493739880800795]7.041365452364864):[&rate=0.00242917738733234]21.495878655129133,(7:[&rate=0.0024693527173248603]25.284571245435142,13:[&rate=0.002474267175331711]25.284571245435142):[&rate=0.002450906421338786]3.252672862058855):[&rate=0.0024836265797568103]8.072 [...]
-tree STATE_3450000 [&lnP=-22210.741998733978] = [&R] ((33:[&rate=0.0031074620891331194]86.54358716948725,(14:[&rate=0.0030026233916062048]78.51688626996409,((((((((11:[&rate=0.0037218197028002324]6.5105276762828055,12:[&rate=0.002809432290407553]6.5105276762828055):[&rate=0.0032741842136931603]16.725434879965064,(7:[&rate=0.002987083900858227]20.230851247857057,13:[&rate=0.0030331324086619086]20.230851247857057):[&rate=0.002922118869174742]3.0051113083908128):[&rate=0.003580332865682827] [...]
-tree STATE_3460000 [&lnP=-22222.28796195672] = [&R] ((14:[&rate=0.002269175376757528]104.59867024465939,(33:[&rate=0.002852528143327912]90.58348355659317,((((((23:[&rate=0.0028963054176039094]9.133702851836004,17:[&rate=0.0024304923379224862]9.133702851836004):[&rate=0.0025660039545159557]12.938158448016418,(((((20:[&rate=0.002703930018112196]2.09374078634788,19:[&rate=0.0032323214000037686]2.09374078634788):[&rate=0.002163752880938638]3.310270262891444,21:[&rate=0.0026773563738122356]5. [...]
-tree STATE_3470000 [&lnP=-22210.95688359466] = [&R] (((33:[&rate=0.0030978781944497606]77.87615879099603,((((((((((20:[&rate=0.0029758140267121787]4.247261756940726,21:[&rate=0.00389516472327192]4.247261756940726):[&rate=0.003390427551584947]0.5954733427342669,19:[&rate=0.003625954151955809]4.842735099674993):[&rate=0.0030978781944497606]4.504884454554215,15:[&rate=0.0031855532068417107]9.347619554229208):[&rate=0.0029606654086744314]0.9502749866443345,24:[&rate=0.0032233318864536868]10. [...]
-tree STATE_3480000 [&lnP=-22210.368001664778] = [&R] (((14:[&rate=0.0021727149941776717]107.91546130783664,(((((((((19:[&rate=0.0018465015832767426]5.944124688139269,(20:[&rate=0.0027063206988528553]2.8779365513824473,21:[&rate=0.002130070079289685]2.8779365513824473):[&rate=0.0020402097113459486]3.0661881367568213):[&rate=0.0023907066758355367]6.273927050445726,15:[&rate=0.002457374634179047]12.218051738584995):[&rate=0.0023000586756647314]4.238032410363244,24:[&rate=0.00214438244622186 [...]
-tree STATE_3490000 [&lnP=-22223.77094282249] = [&R] (((33:[&rate=0.002772217012752513]96.89201931928778,((((((23:[&rate=0.0021841882541601787]9.215589061652954,17:[&rate=0.0028543138191547846]9.215589061652954):[&rate=0.0026622882749790626]12.387485822352842,(22:[&rate=0.0028860803537211375]20.962707518684095,(((19:[&rate=0.002200699219977445]4.4433180741789124,(20:[&rate=0.0029209382916840425]1.9986373187356392,21:[&rate=0.002797775249442405]1.9986373187356392):[&rate=0.0020526459602246 [...]
-tree STATE_3500000 [&lnP=-22212.17702140683] = [&R] ((33:[&rate=0.0030803952388237005]94.3150503530322,(14:[&rate=0.003184820573906232]84.01660683990909,(((16:[&rate=0.00236852169273952]40.0647375034625,((((23:[&rate=0.002759722274634047]10.378943393632504,17:[&rate=0.002839720907493168]10.378943393632504):[&rate=0.002206999571300663]11.399098398475822,(((((21:[&rate=0.002759722274634047]1.5789389305195414,20:[&rate=0.0035667133798956818]1.5789389305195414):[&rate=0.0026602587444883507]1 [...]
-tree STATE_3510000 [&lnP=-22215.616212202203] = [&R] (((14:[&rate=0.0030121527339910205]92.22653510732404,(((((((11:[&rate=0.002589646282306412]7.035763479535547,12:[&rate=0.002152286210942562]7.035763479535547):[&rate=0.0019947228558986276]23.9175269641474,(7:[&rate=0.0024589911169996762]25.33279445854979,13:[&rate=0.0017767331910848586]25.33279445854979):[&rate=0.002092248281180005]5.620495985133154):[&rate=0.003111682135714247]2.462281630854882,(3:[&rate=0.0022401266246399217]17.62339 [...]
-tree STATE_3520000 [&lnP=-22215.710251323362] = [&R] (((14:[&rate=0.0031629070644739864]75.06714772943718,((((16:[&rate=0.0028048912299437345]34.06941465721586,((8:[&rate=0.002639302234561514]22.19419648901226,10:[&rate=0.002750931686385762]22.19419648901226):[&rate=0.002907995473051728]10.292514223851281,(((11:[&rate=0.002860564235354394]6.149763160130218,12:[&rate=0.002662729121002478]6.149763160130218):[&rate=0.002883847527134669]17.71732327567605,(7:[&rate=0.0030719686259153443]18.94 [...]
-tree STATE_3530000 [&lnP=-22208.747619814167] = [&R] (((14:[&rate=0.00335636400790598]84.19804269255913,((((16:[&rate=0.0025855909718384513]35.14291870695947,((((11:[&rate=0.0031820206718582594]6.007189426756364,12:[&rate=0.002767038914246413]6.007189426756364):[&rate=0.0028805744973475125]20.3614425887533,(7:[&rate=0.0028805744973475125]20.368865570704717,13:[&rate=0.002767038914246413]20.368865570704717):[&rate=0.0025643460256254986]5.999766444804944):[&rate=0.0028161033826960506]5.070 [...]
-tree STATE_3540000 [&lnP=-22217.618114261877] = [&R] (9:[&rate=0.002539064843421591]151.58786731657693,((14:[&rate=0.0026074092639992268]90.58283380210207,((((16:[&rate=0.0034317106610781073]31.3435219604474,((8:[&rate=0.002520548489668706]21.15043953257314,10:[&rate=0.00311850093924412]21.15043953257314):[&rate=0.0032138870464947563]9.66295735955672,((7:[&rate=0.0032719451550406713]23.929125601305163,((11:[&rate=0.002921620226253678]5.149341213299207,12:[&rate=0.002654626567246895]5.149 [...]
-tree STATE_3550000 [&lnP=-22213.004612694516] = [&R] (9:[&rate=0.003496803906542857]104.65080720459737,(14:[&rate=0.0029581553074753478]87.51580508632824,(33:[&rate=0.0030518655352590844]81.32721921506997,(((16:[&rate=0.0026647609181962044]36.92136068042717,((((7:[&rate=0.0033093197722582745]26.27595456191144,((11:[&rate=0.002760342693910684]7.410214131643278,12:[&rate=0.002640219188921116]7.410214131643278):[&rate=0.003374341143637682]13.00721172333083,13:[&rate=0.0027259787047274834]20 [...]
-tree STATE_3560000 [&lnP=-22218.580799805262] = [&R] (9:[&rate=0.003531134245576768]106.23656704116601,((14:[&rate=0.003413965689098265]71.24351100566498,((((16:[&rate=0.0034272642232065394]29.45522776492804,((7:[&rate=0.0032939043973508326]23.234047501060054,((11:[&rate=0.003477129190321884]5.508795564516311,12:[&rate=0.0031600235208541585]5.508795564516311):[&rate=0.00329887407648756]13.255426343181675,13:[&rate=0.0030874079555422234]18.764221907697987):[&rate=0.0033380136709061587]4.4 [...]
-tree STATE_3570000 [&lnP=-22228.86679427258] = [&R] (9:[&rate=0.0026702098623780962]141.5227664582692,(((((16:[&rate=0.002594461767542534]36.86965559450915,((7:[&rate=0.0027701713300526017]25.074668381489037,((11:[&rate=0.003438248393832959]4.268152160324909,12:[&rate=0.0023495160925568227]4.268152160324909):[&rate=0.00295801585376995]17.62351933821173,13:[&rate=0.002372550235875827]21.89167149853664):[&rate=0.002878789089310717]3.1829968829523985):[&rate=0.002707385930271506]9.920084163 [...]
-tree STATE_3580000 [&lnP=-22230.314125447356] = [&R] (9:[&rate=0.0028259198177740426]142.56005845527662,((14:[&rate=0.0028293365769992127]96.80325891895801,((((((((11:[&rate=0.0028602754519784766]5.954100620325903,12:[&rate=0.0028564132950441527]5.954100620325903):[&rate=0.002835300375986288]23.40269481068353,(7:[&rate=0.0028602754519784766]24.28583424663058,13:[&rate=0.002851811285052158]24.28583424663058):[&rate=0.0028250510597283693]5.070961184378856):[&rate=0.0028654058310524765]4.11 [...]
-tree STATE_3590000 [&lnP=-22214.254903512454] = [&R] ((33:[&rate=0.002480716391154798]101.46973218094983,(((((16:[&rate=0.002519298599296971]38.37620897907877,((8:[&rate=0.002757046955726786]21.379717369330354,10:[&rate=0.0026188368645189163]21.379717369330354):[&rate=0.0029623235370659674]14.52975736815483,(((11:[&rate=0.0027058984525195145]9.120451133366117,12:[&rate=0.002426557210475466]9.120451133366117):[&rate=0.002677467923101715]16.67480434435071,(7:[&rate=0.0031793023464908327]20 [...]
-tree STATE_3600000 [&lnP=-22208.91281953815] = [&R] ((33:[&rate=0.0026119355919151234]98.55396931193377,(14:[&rate=0.0032207002435501886]70.03528511360715,((((16:[&rate=0.0032433490579497565]32.49974317510156,((((11:[&rate=0.0021295132004099447]9.122615612700102,12:[&rate=0.0022993165186755283]9.122615612700102):[&rate=0.003590269476611955]14.897330187019865,(7:[&rate=0.0031078191852349484]19.716549342939217,13:[&rate=0.0030621484232167834]19.716549342939217):[&rate=0.0036493327854973914 [...]
-tree STATE_3610000 [&lnP=-22216.787718549975] = [&R] (((((((((8:[&rate=0.0025055002724004077]23.216899576386393,10:[&rate=0.002291436856179404]23.216899576386393):[&rate=0.002082457640424567]16.890321518179984,(((11:[&rate=0.0029397729813877764]7.073213667973221,12:[&rate=0.0021846314735693745]7.073213667973221):[&rate=0.0023313143630484643]21.11388392700743,(7:[&rate=0.003111163881851602]22.258892544748388,13:[&rate=0.002473597556180577]22.258892544748388):[&rate=0.0020496563996094254]5 [...]
-tree STATE_3620000 [&lnP=-22212.978998016362] = [&R] (((14:[&rate=0.0034562116327942136]67.62786007263283,((((((8:[&rate=0.0029221488123565243]20.522730520848576,10:[&rate=0.003132119737471099]20.522730520848576):[&rate=0.0034399751489422007]12.354502185494574,((7:[&rate=0.0029033107431789516]24.055542346031835,(13:[&rate=0.0028598807172114087]20.90409533951139,(11:[&rate=0.0030520094145904293]6.074409586583168,12:[&rate=0.0032504552061580344]6.074409586583168):[&rate=0.00297147803042960 [...]
-tree STATE_3630000 [&lnP=-22225.33296512536] = [&R] ((((((16:[&rate=0.0021333178223941597]51.43230941542064,((8:[&rate=0.0020606700181068642]28.306623155990334,10:[&rate=0.0020436713324329084]28.306623155990334):[&rate=0.0016478374341315823]20.484244447662693,(((11:[&rate=0.001993562057528487]7.514515241300137,12:[&rate=0.002236685709171956]7.514515241300137):[&rate=0.0020018971641938004]24.355098108806423,(13:[&rate=0.0018443581271481043]25.432826267123147,7:[&rate=0.002322084477473239] [...]
-tree STATE_3640000 [&lnP=-22211.147600939206] = [&R] ((33:[&rate=0.0027806153879016415]101.15959551012601,(((((16:[&rate=0.002567647532443628]36.20800169067145,((8:[&rate=0.002865376671361652]21.571639848712756,10:[&rate=0.0026954056332536653]21.571639848712756):[&rate=0.003425319704118761]11.841926493799349,(((7:[&rate=0.0032857367286459535]20.736226634636886,13:[&rate=0.0024839028073877297]20.736226634636886):[&rate=0.0026603737837793866]3.790108005916423,(11:[&rate=0.00317857127253498 [...]
-tree STATE_3650000 [&lnP=-22213.1108606864] = [&R] ((33:[&rate=0.0030378513896487293]89.53710152662359,(14:[&rate=0.003257393384738252]69.73578226967136,((((((((23:[&rate=0.003160273110586228]9.382532167012856,17:[&rate=0.0027558195866403527]9.382532167012856):[&rate=0.003106314885720771]11.344101615113948,22:[&rate=0.0029652502930954763]20.726633782126804):[&rate=0.0029009141397529385]0.2908023003700073,(24:[&rate=0.003243083836784086]10.94393532151706,(((21:[&rate=0.0037725871879074795 [...]
-tree STATE_3660000 [&lnP=-22213.798218274715] = [&R] (((((((((((11:[&rate=0.0024225368998432237]7.210555788684056,12:[&rate=0.002454634263634856]7.210555788684056):[&rate=0.002946634643427557]13.007070662120418,13:[&rate=0.0021096228428548122]20.217626450804474):[&rate=0.002255698496340893]5.158208460977733,7:[&rate=0.002826953227381363]25.375834911782206):[&rate=0.0032275711680661004]7.233667044557471,((8:[&rate=0.003304311030305997]18.97060740886047,10:[&rate=0.003454191021187242]18.97 [...]
-tree STATE_3670000 [&lnP=-22216.578967841855] = [&R] ((14:[&rate=0.0019771195838227786]125.69557636720197,(33:[&rate=0.0020755789355284943]121.0337546224404,((((16:[&rate=0.002366222743637843]44.541313385306616,((((11:[&rate=0.0026436436726185375]8.114184347810303,12:[&rate=0.0023411559676517037]8.114184347810303):[&rate=0.0020755789355284943]25.253562226077342,(13:[&rate=0.0018153885337542919]30.12459669364485,7:[&rate=0.0017209456828346016]30.12459669364485):[&rate=0.003037437470940766 [...]
-tree STATE_3680000 [&lnP=-22218.418425017997] = [&R] ((33:[&rate=0.0021511988881719015]106.5684188729881,(((((((18:[&rate=0.002414116683424677]26.474919144743417,(26:[&rate=0.0025858357297122154]16.86279999865506,25:[&rate=0.002527592922268401]16.86279999865506):[&rate=0.002538141129863739]9.612119146088357):[&rate=0.0025076590492194317]7.219789001714915,(2:[&rate=0.0022810069767542733]29.527425752726728,((1:[&rate=0.0026146009891158915]8.215761578317583,6:[&rate=0.0025076590492194317]8. [...]
-tree STATE_3690000 [&lnP=-22220.070884836343] = [&R] ((33:[&rate=0.0021328631616540864]123.41037215732206,((((((((3:[&rate=0.0024064297709206683]19.42334536622675,5:[&rate=0.0021940733795095006]19.42334536622675):[&rate=0.0023438297926490115]18.32846847046287,(((11:[&rate=0.002499178827030276]7.855293606509739,12:[&rate=0.002352285181870126]7.855293606509739):[&rate=0.002606274870477117]20.5111865292172,13:[&rate=0.0023351050733125818]28.36648013572694):[&rate=0.0028066260332290584]3.841 [...]
-tree STATE_3700000 [&lnP=-22224.708960506967] = [&R] ((33:[&rate=0.0023027222867805204]109.85222964497324,(((((16:[&rate=0.0023027222867805204]35.36981557299448,(((3:[&rate=0.0032460020711840686]11.604354155883923,5:[&rate=0.0030622586251833764]11.604354155883923):[&rate=0.0020712068753635585]19.382520493406773,(8:[&rate=0.00310804691874753]19.881305660106918,10:[&rate=0.0026444660927477906]19.881305660106918):[&rate=0.002788981523507394]11.10556898918378):[&rate=0.00310804691874753]2.91 [...]
-tree STATE_3710000 [&lnP=-22229.986793761153] = [&R] (((14:[&rate=0.0019730070029791965]119.06149075296031,((((((18:[&rate=0.0018678438569939139]37.084942977160885,(26:[&rate=0.00213564504163591]19.398860193200147,25:[&rate=0.001999502499936028]19.398860193200147):[&rate=0.0014782303024795515]17.68608278396074):[&rate=0.00178380913458733]6.383945948507069,(2:[&rate=0.001964486418608868]37.28392072489369,((1:[&rate=0.0018757913597148125]10.16395368243955,6:[&rate=0.00178380913458733]10.16 [...]
-tree STATE_3720000 [&lnP=-22212.674593574284] = [&R] (((14:[&rate=0.0031051535857683733]75.22591745486845,((((((18:[&rate=0.003578193656086794]22.402864100026726,(26:[&rate=0.002589292231396367]16.735215371507824,25:[&rate=0.002103407394887862]16.735215371507824):[&rate=0.004032570963567961]5.667648728518902):[&rate=0.002589292231396367]6.670644024014038,(2:[&rate=0.0029194905414687694]23.902977267303214,((1:[&rate=0.004549267537865908]4.9543180335228785,6:[&rate=0.002896234901354696]4.9 [...]
-tree STATE_3730000 [&lnP=-22206.146539116053] = [&R] ((33:[&rate=0.003109332213000406]86.10002409718943,(((((16:[&rate=0.003463601018283804]28.768700294294316,((8:[&rate=0.0037460893520189524]19.336017802206342,10:[&rate=0.003397555467612778]19.336017802206342):[&rate=0.0041074952055122505]9.142755699167669,((3:[&rate=0.003463601018283804]11.804932828594765,5:[&rate=0.003408311150019414]11.804932828594765):[&rate=0.0035234234713016166]13.968595692771924,((7:[&rate=0.0036582924612844044]1 [...]
-tree STATE_3740000 [&lnP=-22217.456083601915] = [&R] ((33:[&rate=0.0016975338357416436]115.23488597476324,(((((16:[&rate=0.0024699674457118567]41.49095984713107,((8:[&rate=0.002912320267166879]25.476703682778183,10:[&rate=0.0024699674457118567]25.476703682778183):[&rate=0.0026627392438106916]13.961394302398116,((3:[&rate=0.0020907955221523846]15.842782957881353,5:[&rate=0.002155420057266124]15.842782957881353):[&rate=0.002134363299706258]20.913717955367552,((7:[&rate=0.003171744190804422 [...]
-tree STATE_3750000 [&lnP=-22214.651948195522] = [&R] ((33:[&rate=0.0020445662969376622]130.54682405052486,(14:[&rate=0.002879290165345145]100.97773920708657,((((16:[&rate=0.0025767391001809974]38.29064863751853,((8:[&rate=0.003105940985645232]22.109189693165327,10:[&rate=0.0028396607032317835]22.109189693165327):[&rate=0.0029580506343406423]12.485001242040504,((3:[&rate=0.0023951685638226375]14.435089315428499,5:[&rate=0.002418037822709506]14.435089315428499):[&rate=0.002822124255317955] [...]
-tree STATE_3760000 [&lnP=-22210.305766370002] = [&R] ((14:[&rate=0.0020861427514002663]107.30251127884097,(33:[&rate=0.00260699461323101]91.20475821927978,((((((18:[&rate=0.0025705547579522284]27.505929872145806,(26:[&rate=0.0035654279189505475]14.269916115849627,25:[&rate=0.0023626738207229363]14.269916115849627):[&rate=0.0022737940359100674]13.23601375629618):[&rate=0.003329908424229125]3.414991368934853,(2:[&rate=0.0034258796293887704]25.76887700434587,((1:[&rate=0.003255639811347457] [...]
-tree STATE_3770000 [&lnP=-22219.95521590232] = [&R] ((33:[&rate=0.002499926051722412]111.41865980976449,(((((((8:[&rate=0.0030014499817828852]20.15023850950465,10:[&rate=0.0030961359603285518]20.15023850950465):[&rate=0.0022427848848639437]15.144776629714496,((3:[&rate=0.0028641439584612726]12.033603081829108,5:[&rate=0.0030961359603285518]12.033603081829108):[&rate=0.002606675421285943]18.780262553377995,((11:[&rate=0.002658937747312028]7.324022350522118,12:[&rate=0.002783050907739195]7 [...]
-tree STATE_3780000 [&lnP=-22212.621162464166] = [&R] ((33:[&rate=0.0025004570090145623]101.89718905237896,(((((((((7:[&rate=0.002681184546339289]23.64520126140095,13:[&rate=0.0025004570090145623]23.64520126140095):[&rate=0.00271580010010388]3.229966542902897,(11:[&rate=0.002439526140091859]8.123139912490661,12:[&rate=0.002371787249379385]8.123139912490661):[&rate=0.0030833761236526893]18.752027891813185):[&rate=0.0026464121923862683]4.171555513586512,(3:[&rate=0.0028570893303173014]12.60 [...]
-tree STATE_3790000 [&lnP=-22217.20239018482] = [&R] ((33:[&rate=0.0023971098804434904]93.37625228820065,(14:[&rate=0.0027292165183401447]86.75408172106741,((((((8:[&rate=0.003102835959699914]20.473693790569182,10:[&rate=0.0026271667011359932]20.473693790569182):[&rate=0.002601915861567985]13.329765384701805,(((7:[&rate=0.003172245943643873]22.864134013390863,13:[&rate=0.0018618705878288009]22.864134013390863):[&rate=0.0024751920621547095]3.9148927187794804,(11:[&rate=0.003473746663909652 [...]
-tree STATE_3800000 [&lnP=-22219.586492429535] = [&R] ((33:[&rate=0.002804227983816313]100.50488736287913,(((((((18:[&rate=0.0030456752775105426]24.331969028623607,(26:[&rate=0.0027394657049539845]13.610309310017765,25:[&rate=0.002974828150844635]13.610309310017765):[&rate=0.002862044704197663]10.721659718605842):[&rate=0.0026290862426881353]7.3655709315541635,(2:[&rate=0.003058860792596293]27.607519941034905,((1:[&rate=0.0028943718315710782]7.7588212453399645,6:[&rate=0.00275510503818635 [...]
-tree STATE_3810000 [&lnP=-22223.881454072067] = [&R] (((14:[&rate=0.002525110042473199]101.13437092187449,((((((18:[&rate=0.0026296652931700705]28.20453706767657,(26:[&rate=0.0023966988697070027]18.653419054130584,25:[&rate=0.002430106494519809]18.653419054130584):[&rate=0.002484059529844391]9.551118013545985):[&rate=0.0027749724627031285]7.316633437424628,(2:[&rate=0.0025559626005581468]28.15205219824719,((1:[&rate=0.002648431448986444]8.454992230297252,6:[&rate=0.002249769402462006]8.4 [...]
-tree STATE_3820000 [&lnP=-22223.223944858455] = [&R] ((33:[&rate=0.0025348917495015355]107.62002183775593,(14:[&rate=0.002729286001645858]88.62466535866332,((((((18:[&rate=0.0026512077776945837]26.797598396197504,(26:[&rate=0.002608418730121461]17.103545438926975,25:[&rate=0.003028004799265927]17.103545438926975):[&rate=0.002708059334324136]9.694052957270529):[&rate=0.0027645462696972416]5.994556887589791,(2:[&rate=0.0024071326661609877]29.331418285804617,((1:[&rate=0.0024382309618298527 [...]
-tree STATE_3830000 [&lnP=-22223.230051021757] = [&R] (((14:[&rate=0.0035460585620526145]80.60273841072856,33:[&rate=0.0034418618906212357]80.60273841072856):[&rate=0.002545882954697486]11.878892455658644,((((((8:[&rate=0.0036621402974716015]15.10715705672375,10:[&rate=0.0035832125880072624]15.10715705672375):[&rate=0.0028445362687227697]9.867638160605882,16:[&rate=0.003475518834578117]24.974795217329632):[&rate=0.0030336462238587615]4.568487836517878,(((11:[&rate=0.003475518834578117]6.3 [...]
-tree STATE_3840000 [&lnP=-22222.275564567833] = [&R] ((33:[&rate=0.002290477209283815]107.1038059547007,(14:[&rate=0.002449717845625868]86.75668846707337,((((16:[&rate=0.0021914497628535427]41.34938024163787,((8:[&rate=0.002479315172691011]22.366655861275206,10:[&rate=0.0024401220911011738]22.366655861275206):[&rate=0.0026240278881551]16.611920000972887,((7:[&rate=0.0020488928040997625]30.16917019690827,(13:[&rate=0.002270464144923432]22.677816899656627,(11:[&rate=0.0026398938442566493]6 [...]
-tree STATE_3850000 [&lnP=-22212.324574103342] = [&R] ((33:[&rate=0.0021748267548703415]103.4069985663792,(((((((8:[&rate=0.0031144862191688797]25.898889228670242,10:[&rate=0.0024926185138865373]25.898889228670242):[&rate=0.0031144862191688797]11.10048414196546,(((11:[&rate=0.0027056728825695098]6.198711583384072,12:[&rate=0.0025973988020837435]6.198711583384072):[&rate=0.0022642799237942495]23.11016017053277,(13:[&rate=0.0021748267548703415]22.082029045874002,7:[&rate=0.00289455132809533 [...]
-tree STATE_3860000 [&lnP=-22214.21370064041] = [&R] ((33:[&rate=0.0019686615204984412]119.42804851942277,(((((((8:[&rate=0.0028097830944161335]21.966368898973982,10:[&rate=0.0028097830944161335]21.966368898973982):[&rate=0.0022670506657356507]15.845740244343652,((3:[&rate=0.0027090508109937875]12.447361897693385,5:[&rate=0.0028382632781362065]12.447361897693385):[&rate=0.002457460548702373]22.426958128297457,(7:[&rate=0.002763400122103102]28.590944345623555,(13:[&rate=0.00237460302695354 [...]
-tree STATE_3870000 [&lnP=-22220.361883914255] = [&R] (((14:[&rate=0.002375910179898302]95.62231995798959,((((((18:[&rate=0.0021502552465814456]33.807793473576446,(26:[&rate=0.0021933404488617757]20.473646482704773,25:[&rate=0.0020916152609884234]20.473646482704773):[&rate=0.0022158131805760533]13.334146990871673):[&rate=0.0020335373699513727]5.081732019961194,(2:[&rate=0.002056934948048653]33.26232445708432,((1:[&rate=0.0024410062110345123]9.224917760465058,6:[&rate=0.0021686167935725084 [...]
-tree STATE_3880000 [&lnP=-22211.67583235257] = [&R] ((9:[&rate=0.0045530825574133255]88.68996992179677,33:[&rate=0.002337229997795563]88.68996992179677):[&rate=0.0036887370634805694]7.259950368690909,(14:[&rate=0.0031887778257370628]82.33416904164129,((((((3:[&rate=0.002419047658494425]16.611342426161535,5:[&rate=0.002691431507247076]16.611342426161535):[&rate=0.0028788051405335274]12.88517453214439,((11:[&rate=0.0038729155019164184]4.808360136191061,12:[&rate=0.0035975816136695096]4.808 [...]
-tree STATE_3890000 [&lnP=-22213.38636447063] = [&R] (9:[&rate=0.002409778481214024]143.84692839463935,(33:[&rate=0.0027681283558239796]109.1817389021989,(((((((18:[&rate=0.002497371307662191]27.186785255144077,(26:[&rate=0.0025779652100768654]17.75864744499458,25:[&rate=0.0024306354941521224]17.75864744499458):[&rate=0.002957232306074697]9.428137810149497):[&rate=0.0029998197544657914]5.96897292819293,(2:[&rate=0.0026334614328339598]28.010566161235147,((1:[&rate=0.002782471762892349]9.32 [...]
-tree STATE_3900000 [&lnP=-22222.21966644162] = [&R] (9:[&rate=0.002594444290505778]143.45586821858586,(33:[&rate=0.002653504284379408]89.23371628794064,(14:[&rate=0.002653504284379408]82.15570537144306,(((((((24:[&rate=0.002602016890198792]13.467322981931693,(15:[&rate=0.0028064730649167667]9.794176028755409,(19:[&rate=0.002594444290505778]3.4250924057360597,(21:[&rate=0.0027382600064929487]2.239554069598785,20:[&rate=0.0026971525630147064]2.239554069598785):[&rate=0.0028264270917115627] [...]
-tree STATE_3910000 [&lnP=-22221.199883393554] = [&R] (9:[&rate=0.002384490543591944]162.43818535357738,(14:[&rate=0.00214552097872652]112.418144731076,(33:[&rate=0.002700644159827006]100.2745417052384,(((((((24:[&rate=0.0022677792602681587]16.302436467380698,(15:[&rate=0.002725315259407105]9.025484719942543,(21:[&rate=0.002123892690643251]3.4565521074699106,(20:[&rate=0.0032504025130004957]1.7732451247773406,19:[&rate=0.0032504025130004957]1.7732451247773406):[&rate=0.002443132561106435] [...]
-tree STATE_3920000 [&lnP=-22211.24428825743] = [&R] (9:[&rate=0.004053380270119877]108.59352480298942,(33:[&rate=0.0026594613180576745]89.40884181737388,(14:[&rate=0.004881954445514085]68.30170328086867,((((16:[&rate=0.003155519574676079]29.89092908808302,((8:[&rate=0.0046045016536512]13.68337037558164,10:[&rate=0.004215723855313938]13.68337037558164):[&rate=0.0031930399513786047]14.64785489325351,((3:[&rate=0.00388008472544106]10.973697651079746,5:[&rate=0.0029189208141872968]10.9736976 [...]
-tree STATE_3930000 [&lnP=-22210.941248922587] = [&R] (9:[&rate=0.0022392970611572836]149.70842376189498,(33:[&rate=0.001916641053855647]114.91405036424405,((((((((3:[&rate=0.0025370573248187124]14.656325701811523,5:[&rate=0.0026168906175941743]14.656325701811523):[&rate=0.0020485715103118743]21.45171575951246,((7:[&rate=0.0027573493746666468]25.20790409751198,13:[&rate=0.0022392970611572836]25.20790409751198):[&rate=0.0021288730335328335]5.958152113328122,(11:[&rate=0.0025370573248187124 [...]
-tree STATE_3940000 [&lnP=-22214.437930416167] = [&R] (9:[&rate=0.0031141726417667232]129.32108575671094,(33:[&rate=0.002699513567656718]104.4643782450524,(14:[&rate=0.0032159249977543225]91.50211939021885,(((((((3:[&rate=0.003432217860811747]11.414285406283101,5:[&rate=0.002610568208938307]11.414285406283101):[&rate=0.0028481005103669675]20.252969068506687,((7:[&rate=0.0033633161124150884]20.227736947090875,13:[&rate=0.002101058334236922]20.227736947090875):[&rate=0.0020140666961831794]6 [...]
-tree STATE_3950000 [&lnP=-22216.837632882427] = [&R] (9:[&rate=0.0025533347663191618]142.7013954367371,((14:[&rate=0.0024478261823621095]99.69604044927208,((((((8:[&rate=0.0023467639910973795]27.45223462425006,10:[&rate=0.0022493438199822145]27.45223462425006):[&rate=0.0023167527621107834]16.713982184659116,((3:[&rate=0.0028257699999255995]14.348536540679607,5:[&rate=0.002025639520910021]14.348536540679607):[&rate=0.0020817984215581492]25.699790180302312,(((11:[&rate=0.002128898508166101 [...]
-tree STATE_3960000 [&lnP=-22219.28185355342] = [&R] (9:[&rate=0.0026609957079237537]140.37484004396697,((((((16:[&rate=0.0025855388793408615]36.9536452794042,(((3:[&rate=0.0022951480882455583]14.243948392150811,5:[&rate=0.0028300317322505885]14.243948392150811):[&rate=0.0031970166934969196]17.42962062409905,((7:[&rate=0.0028815577771981933]21.11558536390465,13:[&rate=0.0022253258612517203]21.11558536390465):[&rate=0.002863692645034693]6.167382489498252,(11:[&rate=0.0029199058101545823]8. [...]
-tree STATE_3970000 [&lnP=-22205.167912533314] = [&R] (9:[&rate=0.0034727537251712255]122.36309966742209,((((((16:[&rate=0.0031840836304734507]32.90172213145987,(((3:[&rate=0.003166964184931605]12.175217739272048,5:[&rate=0.002631167784475927]12.175217739272048):[&rate=0.003450050215133832]15.811392403239024,(8:[&rate=0.0036658013244934944]18.29519279410251,10:[&rate=0.003047857389499795]18.29519279410251):[&rate=0.003290027960029318]9.691417348408564):[&rate=0.0033862454106649807]2.15630 [...]
-tree STATE_3980000 [&lnP=-22240.077842155606] = [&R] (9:[&rate=0.002374521305336125]144.11179551742433,((((((16:[&rate=0.0025289309020571538]44.27142345704091,(((3:[&rate=0.0027015099373332765]19.607591287004865,5:[&rate=0.0025124852973004205]19.607591287004865):[&rate=0.0024749511173910903]22.70880127006,(8:[&rate=0.002407488078984026]28.593714830906254,10:[&rate=0.002576145935435893]28.593714830906254):[&rate=0.0024540430455023674]13.722677726158611):[&rate=0.0025465681393800803]1.1007 [...]
-tree STATE_3990000 [&lnP=-22223.044376920017] = [&R] (9:[&rate=0.0028451801882944825]159.05219056461067,((14:[&rate=0.002401942373036424]114.02079690408425,((((((((11:[&rate=0.002490512539237157]7.32732569841113,12:[&rate=0.002032857601457953]7.32732569841113):[&rate=0.002464730444086404]23.341806001553884,(13:[&rate=0.002377077167247411]26.10883576717295,7:[&rate=0.0025725707949860776]26.10883576717295):[&rate=0.002464730444086404]4.560295932792066):[&rate=0.001770259828129864]10.420594 [...]
-tree STATE_4000000 [&lnP=-22221.346204431356] = [&R] (9:[&rate=0.00269990755378282]140.26603152735558,(33:[&rate=0.002299313438001218]95.22530777585783,(14:[&rate=0.002371812212782913]80.54712831686444,(((((((23:[&rate=0.002151220085317013]10.619762907911094,17:[&rate=0.0033666003695789195]10.619762907911094):[&rate=0.002423596308605028]12.195727527701441,(24:[&rate=0.0029687318994828325]13.565706833469475,(15:[&rate=0.002663120461627839]9.541600675588668,(21:[&rate=0.001957262098171844] [...]
-tree STATE_4010000 [&lnP=-22207.442133532903] = [&R] (9:[&rate=0.0024823787350107974]138.8279046004069,((14:[&rate=0.0029554398532756036]84.08258270310958,((((((22:[&rate=0.0030846787215125303]20.202420163231906,(24:[&rate=0.0034834473105269854]12.248766975631426,(15:[&rate=0.004172716785304081]7.081384724971951,(21:[&rate=0.0030846787215125303]3.473751057933075,(20:[&rate=0.0028736857855991543]3.40087107245086,19:[&rate=0.0034834473105269854]3.40087107245086):[&rate=0.004172716785304081 [...]
-tree STATE_4020000 [&lnP=-22218.600481973474] = [&R] (9:[&rate=0.002680006218214456]149.52384388306572,((14:[&rate=0.0025732431346061416]86.90073630593179,((((((23:[&rate=0.0024895801448677696]12.024151879827082,17:[&rate=0.0021901595483827868]12.024151879827082):[&rate=0.0024070604949621576]13.800484922899978,(22:[&rate=0.002738216659972013]24.60490959843162,(24:[&rate=0.0027797338392433414]14.837411055130755,(15:[&rate=0.002042498360176346]9.211834801038263,(21:[&rate=0.002539432845840 [...]
-tree STATE_4030000 [&lnP=-22211.6653593659] = [&R] (9:[&rate=0.0038954386621259892]104.43099302507396,((14:[&rate=0.0033117007605620806]79.43465435405149,(((((22:[&rate=0.0028899259139543018]22.765837193521065,((23:[&rate=0.003278016411397321]9.595794260663364,17:[&rate=0.0029725907341271477]9.595794260663364):[&rate=0.0033291235651637394]10.175196089372431,(24:[&rate=0.004003609544818953]12.03673360580147,(15:[&rate=0.0029240780687330823]9.53436226401957,(19:[&rate=0.0035702397183009753 [...]
-tree STATE_4040000 [&lnP=-22226.199190515952] = [&R] (9:[&rate=0.0029439105865116146]132.46635371464805,((33:[&rate=0.002887417868227094]87.3700543215703,14:[&rate=0.002881604227599463]87.3700543215703):[&rate=0.0029728525802723534]3.9671508142056098,((((((23:[&rate=0.0026879588328679606]9.841601959592293,17:[&rate=0.002915804474229927]9.841601959592293):[&rate=0.002927018889297416]13.457621937897851,(22:[&rate=0.002898878613290718]23.0787647261011,(24:[&rate=0.002898878613290718]13.8910 [...]
-tree STATE_4050000 [&lnP=-22217.685141170332] = [&R] (9:[&rate=0.0022491659472105453]154.61729824940113,(33:[&rate=0.0021107662721347393]115.9502151306954,((((((22:[&rate=0.002304741680363474]26.19283081545296,((23:[&rate=0.0023392150438422722]13.990875932283808,17:[&rate=0.001958307529312326]13.990875932283808):[&rate=0.002685563081348611]10.378423843153419,(24:[&rate=0.0031183938918608323]14.673189742821652,(15:[&rate=0.003010554711443553]8.87398742016236,((21:[&rate=0.0023392150438422 [...]
-tree STATE_4060000 [&lnP=-22228.323740459913] = [&R] (9:[&rate=0.00241140854371114]141.39531911873388,(33:[&rate=0.002244313786330724]109.44389664658297,(14:[&rate=0.002617621406709662]97.14322335868322,(((((22:[&rate=0.0026556417827634966]23.786308922481233,((23:[&rate=0.002371730463461408]9.706959970078344,17:[&rate=0.0019210349975706737]9.706959970078344):[&rate=0.002371730463461408]13.499700047186003,(24:[&rate=0.00246127500425065]11.745246150439915,(15:[&rate=0.002436668172499529]9. [...]
-tree STATE_4070000 [&lnP=-22209.03923681182] = [&R] (9:[&rate=0.002470358108457131]140.9661270051888,(33:[&rate=0.002210338096914241]107.86526265284566,(((((((((7:[&rate=0.0028482333595255187]22.000707091957768,13:[&rate=0.0024544077211962243]22.000707091957768):[&rate=0.002417635689929854]3.763438001667634,(11:[&rate=0.0033381455829233175]5.341457474189565,12:[&rate=0.0030276842790251043]5.341457474189565):[&rate=0.0028711483525567204]20.422687619435838):[&rate=0.00263886474794076]7.470 [...]
-tree STATE_4080000 [&lnP=-22209.246915594187] = [&R] (9:[&rate=0.0027843925703358455]140.1539376956719,(33:[&rate=0.0023572044604175304]93.09180077103444,((((((22:[&rate=0.002712091546899912]23.872020405761575,((23:[&rate=0.0034321193262778524]8.580016007837804,17:[&rate=0.0037440421846099193]8.580016007837804):[&rate=0.0022724585195137825]14.565486734923224,(24:[&rate=0.0034321193262778524]12.108220191051664,(15:[&rate=0.003017318203621375]10.558379650183587,((20:[&rate=0.00318111885773 [...]
-tree STATE_4090000 [&lnP=-22225.467814591157] = [&R] (9:[&rate=0.003606688635192941]116.02207458703707,(33:[&rate=0.0030107468993944226]96.08541147635974,(14:[&rate=0.002755817596400538]88.38097473992342,(((((22:[&rate=0.0031507117099757553]21.290032699852294,((23:[&rate=0.002776160187738857]10.703089034765112,17:[&rate=0.0034764443767904187]10.703089034765112):[&rate=0.0029242808020478097]9.62041677699049,(24:[&rate=0.004091981001792365]10.339779558219576,(((20:[&rate=0.0036464720436744 [...]
-tree STATE_4100000 [&lnP=-22220.44143667285] = [&R] (9:[&rate=0.0023953299123192088]150.34755190499308,(33:[&rate=0.00241641430734011]111.59734777759306,(((((((8:[&rate=0.003077352153325656]22.761745012362084,10:[&rate=0.002486739023035198]22.761745012362084):[&rate=0.0024059565774069776]14.736187562071137,16:[&rate=0.0024369204158788517]37.49793257443322):[&rate=0.0024059565774069776]0.7588922769538868,((7:[&rate=0.0026306749344265365]30.919069040118725,(13:[&rate=0.0023385430412957335] [...]
-tree STATE_4110000 [&lnP=-22221.63607226427] = [&R] (9:[&rate=0.0029760472132881414]139.4029404888007,(33:[&rate=0.0024324717271647913]121.19277772665964,(((((((8:[&rate=0.002403629948341513]28.2535421276169,10:[&rate=0.002046141408399328]28.2535421276169):[&rate=0.003152110669016793]12.376715548274486,(((11:[&rate=0.0019853622979152975]7.11801347223645,12:[&rate=0.002474256279999508]7.11801347223645):[&rate=0.0019853622979152975]25.440965327166147,(13:[&rate=0.0023084910426066376]23.497 [...]
-tree STATE_4120000 [&lnP=-22229.813179212168] = [&R] (9:[&rate=0.0020834525025312306]153.60748105875425,(((((((8:[&rate=0.002826127941929728]23.832184746322937,10:[&rate=0.002568465373501879]23.832184746322937):[&rate=0.0022930180016479985]13.751827796528808,(((11:[&rate=0.002477539972337732]8.474574210816913,12:[&rate=0.001982636737441356]8.474574210816913):[&rate=0.0026041721158529697]21.73040486585323,(13:[&rate=0.0022689389473085323]21.31749736666764,7:[&rate=0.0033964276199784345]21 [...]
-tree STATE_4130000 [&lnP=-22219.859697306725] = [&R] (9:[&rate=0.002559641278378841]131.5877406591495,(33:[&rate=0.002393199879210784]96.68531109806125,(((((16:[&rate=0.0026844847278409607]40.30995618799632,(((((((20:[&rate=0.002283333185881556]4.3981728777262195,21:[&rate=0.002501888812573448]4.3981728777262195):[&rate=0.00383949862050145]0.32808457048219797,19:[&rate=0.003078857764614418]4.726257448208417):[&rate=0.0023684315578344902]11.735279276217597,15:[&rate=0.0023684315578344902] [...]
-tree STATE_4140000 [&lnP=-22215.78391683524] = [&R] (9:[&rate=0.003632415942309948]114.13850422794597,(33:[&rate=0.0026092454975530765]96.46816568841886,(14:[&rate=0.003109648337997487]83.39025749700717,(((((((7:[&rate=0.002313867204167191]28.63750133700206,(13:[&rate=0.0020118724910969817]26.128127006013987,(11:[&rate=0.003137069787587389]5.81219302707615,12:[&rate=0.00247386432108553]5.81219302707615):[&rate=0.0032533230654392376]20.315933978937835):[&rate=0.0038017484438524055]2.50937 [...]
-tree STATE_4150000 [&lnP=-22224.62817296606] = [&R] (9:[&rate=0.0024394011788260446]158.41417282441236,(14:[&rate=0.002256586402558419]130.61840008839667,(((((((8:[&rate=0.0025152040817950088]21.57785203312014,10:[&rate=0.0027589824910403743]21.57785203312014):[&rate=0.002164565076992772]21.19762885444023,((7:[&rate=0.0025502774789976164]32.601474950232685,(13:[&rate=0.002164565076992772]26.145111864770367,(11:[&rate=0.002498872048883576]7.757451703836165,12:[&rate=0.0020759948068034455] [...]
-tree STATE_4160000 [&lnP=-22215.724933476475] = [&R] ((33:[&rate=0.0024741387159111874]103.93671009484946,(((((16:[&rate=0.0028654656684089725]36.21228438486461,((8:[&rate=0.0031716448523729903]22.538515335111008,10:[&rate=0.0026343287122846263]22.538515335111008):[&rate=0.002881700772967281]11.982405474841627,(((11:[&rate=0.002703848667282593]6.124536107335293,12:[&rate=0.0028173553442000297]6.124536107335293):[&rate=0.0028413923840934947]17.385472006332982,(13:[&rate=0.0027679755770142 [...]
-tree STATE_4170000 [&lnP=-22223.60590655793] = [&R] ((33:[&rate=0.0015572440297109782]144.40954949322864,(((((16:[&rate=0.0018138555086340772]47.86419734799767,(((11:[&rate=0.001997743496337505]11.619753810448806,12:[&rate=0.001510137843767139]11.619753810448806):[&rate=0.0024410898222246577]23.68545899826318,(13:[&rate=0.00170946783137921]29.916684227987645,7:[&rate=0.002107005517305902]29.916684227987645):[&rate=0.0017749583547716332]5.388528580724341):[&rate=0.001510137843767139]8.159 [...]
-tree STATE_4180000 [&lnP=-22224.36611314562] = [&R] (((((16:[&rate=0.0026101718854969766]39.17869948628242,((((23:[&rate=0.0025981908695780994]9.507254716627719,17:[&rate=0.002640830247525777]9.507254716627719):[&rate=0.002640830247525777]12.293614028631234,(22:[&rate=0.0026350426563205858]20.734772990913374,(24:[&rate=0.0025928060825897176]10.939928594842655,(15:[&rate=0.0026193319680044122]10.47867682582775,(21:[&rate=0.002617418711468612]2.9584786727723182,(19:[&rate=0.002597173603296 [...]
-tree STATE_4190000 [&lnP=-22229.463936407883] = [&R] (((14:[&rate=0.0017252690175682606]117.18747801263746,(((16:[&rate=0.0016469355201759444]61.70803806203029,(((((7:[&rate=0.002195467956563496]34.469375561870486,13:[&rate=0.0014286732490665097]34.469375561870486):[&rate=0.0022263761271670885]6.459476664460816,(11:[&rate=0.0018749337537612536]9.113594409349894,12:[&rate=0.001746529355148454]9.113594409349894):[&rate=0.0013484725945234956]31.815257816981408):[&rate=0.0015681675693958788] [...]
-tree STATE_4200000 [&lnP=-22223.306406618092] = [&R] (((((((((8:[&rate=0.0024495789983024563]23.343211451658117,10:[&rate=0.002401226749407421]23.343211451658117):[&rate=0.0025751242811865287]12.9180728530531,((((11:[&rate=0.002528844387887378]6.289595536379515,12:[&rate=0.0030325628187994826]6.289595536379515):[&rate=0.003161869846154576]16.56471219734154,13:[&rate=0.002725862130563955]22.854307733721054):[&rate=0.0022484317101858294]4.924212846342662,7:[&rate=0.002968297190392316]27.77 [...]
-tree STATE_4210000 [&lnP=-22223.245018070058] = [&R] ((((((((8:[&rate=0.0033622411941864024]17.973172047903365,10:[&rate=0.003044496563175594]17.973172047903365):[&rate=0.0033751218573796773]11.292831943086483,(((7:[&rate=0.003313203480746572]18.33708057174539,13:[&rate=0.0034018741527575606]18.33708057174539):[&rate=0.0029865724008913555]3.2380488009559834,(11:[&rate=0.003083274418374708]4.799213024410401,12:[&rate=0.0029154526091956655]4.799213024410401):[&rate=0.0028430851177059105]16 [...]
-tree STATE_4220000 [&lnP=-22209.14146450605] = [&R] ((33:[&rate=0.002875382667673381]89.49297253465465,(14:[&rate=0.003927495595621105]66.16861652561997,(((((((22:[&rate=0.0029604877722842256]20.23623331666144,((15:[&rate=0.003843517371596086]9.00048526088175,((21:[&rate=0.003207941920166573]2.6943791563098634,20:[&rate=0.003123362777344208]2.6943791563098634):[&rate=0.003452345890280348]1.030960588323524,19:[&rate=0.00328046883176749]3.7253397446333874):[&rate=0.00328046883176749]5.2751 [...]
-tree STATE_4230000 [&lnP=-22203.970812921747] = [&R] (((14:[&rate=0.0030661116921831717]70.7759586312744,((((((23:[&rate=0.0031843116153055457]7.921778390115581,17:[&rate=0.003405715464705503]7.921778390115581):[&rate=0.0025053568655321427]11.239772856392026,(22:[&rate=0.0033544393766245283]17.48299981599374,(24:[&rate=0.003951297159884875]12.038653127097309,(((21:[&rate=0.0028686638132722347]1.5843327050381073,20:[&rate=0.004126585182671401]1.5843327050381073):[&rate=0.00259065185232696 [...]
-tree STATE_4240000 [&lnP=-22220.293819872266] = [&R] ((33:[&rate=0.0022211623047338285]120.43283369985078,(14:[&rate=0.00235892755256526]104.12313567575963,(((((((7:[&rate=0.0025850183783925496]21.621764366493846,13:[&rate=0.0023450870470639765]21.621764366493846):[&rate=0.0022943714012218833]5.885613375699922,(11:[&rate=0.0024297320980736507]8.541053715348541,12:[&rate=0.002446080030988916]8.541053715348541):[&rate=0.002637695077433412]18.96632402684523):[&rate=0.0024351960101013366]7.6 [...]
-tree STATE_4250000 [&lnP=-22200.173077816413] = [&R] (((((((((23:[&rate=0.002909281124410641]9.277247096674515,17:[&rate=0.0031319985995754466]9.277247096674515):[&rate=0.0020768673256601057]13.463903629432998,((24:[&rate=0.0031063915193253874]13.828885399075036,((19:[&rate=0.0024798709639950872]3.503296079313934,(20:[&rate=0.002777829021888128]2.896688434198872,21:[&rate=0.0025590667605828316]2.896688434198872):[&rate=0.00245887606672272]0.6066076451150617):[&rate=0.0025590667605828316] [...]
-tree STATE_4260000 [&lnP=-22223.288848080487] = [&R] (((((((((23:[&rate=0.0018848751030465444]15.664825384659421,17:[&rate=0.0017030163951420078]15.664825384659421):[&rate=0.0018022941283161087]17.309402760756768,((24:[&rate=0.00249318646516767]16.45698607621223,((19:[&rate=0.0019183732180786007]3.905484928050143,(20:[&rate=0.0016005883854952885]3.8085081827998395,21:[&rate=0.0019072648002091625]3.8085081827998395):[&rate=0.0018268761827716401]0.09697674525030342):[&rate=0.00244776744058 [...]
-tree STATE_4270000 [&lnP=-22207.100300087284] = [&R] ((33:[&rate=0.0020971922411856586]105.2655269533926,(((((16:[&rate=0.0024909619547384128]35.42849059819177,((((7:[&rate=0.003579979329276475]18.1662882319906,13:[&rate=0.0025551104307281556]18.1662882319906):[&rate=0.002932140817899543]6.280004086116904,(11:[&rate=0.002725011729087475]5.505506923187135,12:[&rate=0.0020578282177655663]5.505506923187135):[&rate=0.002813435922989266]18.94078539492037):[&rate=0.0024909619547384128]4.746552 [...]
-tree STATE_4280000 [&lnP=-22223.887899453766] = [&R] (((((((16:[&rate=0.002245941758386814]37.58419852036182,((8:[&rate=0.002999168202583427]22.475903305600227,10:[&rate=0.0029738852766511164]22.475903305600227):[&rate=0.0027970660371412965]14.306436787436539,(((7:[&rate=0.0024593953969659276]22.112302014311968,13:[&rate=0.0021313472878787022]22.112302014311968):[&rate=0.0025526205597286864]5.958732464868717,(11:[&rate=0.003551111321711699]6.353834475684408,12:[&rate=0.002515742468475776 [...]
-tree STATE_4290000 [&lnP=-22223.091247446268] = [&R] (((((((((8:[&rate=0.0024217822877487475]23.172448249581223,10:[&rate=0.0021740561318496087]23.172448249581223):[&rate=0.0021594596287492574]15.981528673224929,(((7:[&rate=0.00239772279622048]24.10323028226911,13:[&rate=0.0020102032052109445]24.10323028226911):[&rate=0.0025670873196565877]3.974116017484871,(11:[&rate=0.003079740483663239]5.053147852715583,12:[&rate=0.0026875277255514352]5.053147852715583):[&rate=0.002228401297996333]23. [...]
-tree STATE_4300000 [&lnP=-22210.90426920334] = [&R] (((((((((23:[&rate=0.002440426808886529]12.131144739842016,17:[&rate=0.002299468745507117]12.131144739842016):[&rate=0.0022578879831027486]14.443191064728884,(22:[&rate=0.002037760513085967]24.43727236447997,((((20:[&rate=0.0024257641489512627]4.147695820682296,19:[&rate=0.002517656071263449]4.147695820682296):[&rate=0.002354803204381842]0.8407037559371968,21:[&rate=0.0022718004549687606]4.988399576619493):[&rate=0.0027120835767038935]6 [...]
-tree STATE_4310000 [&lnP=-22221.942771275088] = [&R] (((14:[&rate=0.002790118328109813]92.19719071712589,(((((22:[&rate=0.0026057196775797643]24.217900961651438,((23:[&rate=0.002544019721730534]12.264969346415493,17:[&rate=0.002649681399085612]12.264969346415493):[&rate=0.002734784365603833]11.649258864537364,((((20:[&rate=0.0024800242968758567]2.546132047160309,21:[&rate=0.0028484946190075492]2.546132047160309):[&rate=0.0026718609515447604]0.4854369775584866,19:[&rate=0.0027023626295201 [...]
-tree STATE_4320000 [&lnP=-22216.0333507197] = [&R] (((14:[&rate=0.002246626902968455]100.79536545216513,((((((8:[&rate=0.002128818808288255]24.902374999746346,10:[&rate=0.002271483431978582]24.902374999746346):[&rate=0.002711262695823174]15.414095614716512,((3:[&rate=0.002384603747380074]15.948508153208188,5:[&rate=0.002371668806124167]15.948508153208188):[&rate=0.002068837026256888]20.179415170399245,((7:[&rate=0.0025983927621265747]27.170997989159083,13:[&rate=0.0018277928164484487]27. [...]
-tree STATE_4330000 [&lnP=-22214.457056820655] = [&R] (((((((16:[&rate=0.002103904284232214]40.94760073298814,((8:[&rate=0.0027636304026952274]26.109021429592538,10:[&rate=0.0022486069314873]26.109021429592538):[&rate=0.002211496092102196]13.611119972209266,((3:[&rate=0.002175164734234546]17.108040670507634,5:[&rate=0.002211496092102196]17.108040670507634):[&rate=0.0020862185071383625]20.95934438651325,(((11:[&rate=0.0026187731876464223]7.601868285499291,12:[&rate=0.002050805621950612]7.6 [...]
-tree STATE_4340000 [&lnP=-22218.188491319703] = [&R] (((14:[&rate=0.003976338019771755]65.59986182281276,((((16:[&rate=0.0030859074152016284]31.670714062552076,(((3:[&rate=0.0031408390170699057]10.6980262743273,5:[&rate=0.00302220873529953]10.6980262743273):[&rate=0.00333767437821498]15.61877585784985,((7:[&rate=0.0036254207066703683]18.682196494705654,13:[&rate=0.002997952653702483]18.682196494705654):[&rate=0.0030859074152016284]2.9060348006624324,(11:[&rate=0.0036628507370432086]4.251 [...]
-tree STATE_4350000 [&lnP=-22218.541760242235] = [&R] (((33:[&rate=0.002576158746825745]83.767289725115,((((((8:[&rate=0.0030579854600398604]18.08038625769316,10:[&rate=0.0028588963634298887]18.08038625769316):[&rate=0.002635904627782396]14.749788805546995,((3:[&rate=0.0028679408382730675]13.616948818656558,5:[&rate=0.0031699141575937707]13.616948818656558):[&rate=0.002551895233310839]17.74267682782866,((7:[&rate=0.002953805904257772]22.8589422239148,13:[&rate=0.0023293856132884498]22.858 [...]
-tree STATE_4360000 [&lnP=-22216.632266025434] = [&R] (((((((16:[&rate=0.002323010427158408]42.32378688388294,(((((((21:[&rate=0.002292148069154881]5.314671319604872,20:[&rate=0.0021472697384383945]5.314671319604872):[&rate=0.002211033383936748]1.2643220159623896,19:[&rate=0.0021126886632574083]6.578993335567262):[&rate=0.0026172744597112137]6.6618275947548184,15:[&rate=0.001872874141522277]13.24082093032208):[&rate=0.0022415670045074273]6.975870652093416,24:[&rate=0.002490171372699101]20 [...]
-tree STATE_4370000 [&lnP=-22219.1542323635] = [&R] ((14:[&rate=0.0021266750459944415]134.80221995888797,(33:[&rate=0.0019805480858490895]125.14480677838357,(((((((23:[&rate=0.0018076082988271302]16.020201949005944,17:[&rate=0.0017490344954081295]16.020201949005944):[&rate=0.0023514848329514023]12.148318415546846,(24:[&rate=0.002002067182147126]16.181377119494844,(15:[&rate=0.0019912993436119364]10.049212167951513,((19:[&rate=0.0024706924125318195]3.366779192157423,20:[&rate=0.00174903449 [...]
-tree STATE_4380000 [&lnP=-22207.424851760876] = [&R] ((33:[&rate=0.002754435314740449]91.94418692534853,(((((((3:[&rate=0.002734465625049712]14.607056644561435,5:[&rate=0.0025576169523498444]14.607056644561435):[&rate=0.0030232535707254778]14.870424205167737,((7:[&rate=0.0041279735000115]16.822474302880693,13:[&rate=0.003395892724685946]16.822474302880693):[&rate=0.0027741430574175145]5.857567146209046,(11:[&rate=0.0031459030633858506]6.306703174016226,12:[&rate=0.0027141847079707403]6.3 [...]
-tree STATE_4390000 [&lnP=-22227.42198283699] = [&R] (((((((((23:[&rate=0.002255638472723066]12.298954307237649,17:[&rate=0.002053898598796247]12.298954307237649):[&rate=0.002303336433905588]15.478825197112597,((24:[&rate=0.002255638472723066]18.51480071528166,((21:[&rate=0.0019319566288378083]6.451474406987742,(20:[&rate=0.0019126550406126503]3.0786930461852138,19:[&rate=0.00254698956612377]3.0786930461852138):[&rate=0.001949923069866078]3.3727813608025285):[&rate=0.0024088914518699198]5 [...]
-tree STATE_4400000 [&lnP=-22216.816752298168] = [&R] ((33:[&rate=0.002408136986083421]99.98632299005908,(14:[&rate=0.002322470094677671]84.76914076584673,(((((((3:[&rate=0.004039820923994377]8.57260076641323,5:[&rate=0.0034922034634764553]8.57260076641323):[&rate=0.0030001987886033566]17.461319191210386,(((11:[&rate=0.003670645109070783]5.908145779255725,12:[&rate=0.0031328847354477893]5.908145779255725):[&rate=0.0031951213040784647]14.7441602525173,13:[&rate=0.002322470094677671]20.6523 [...]
-tree STATE_4410000 [&lnP=-22213.347413172218] = [&R] (9:[&rate=0.002691348836591134]125.47704378015595,((14:[&rate=0.0027283620122526674]80.65562857619264,(((((((3:[&rate=0.0022678211537111178]14.29253099046807,5:[&rate=0.0027651029157192367]14.29253099046807):[&rate=0.00297289583954649]16.466716317544222,((7:[&rate=0.0038204114186956755]17.987736234172765,13:[&rate=0.0026347308141701437]17.987736234172765):[&rate=0.0025957906427935924]8.822759172265183,(11:[&rate=0.0031740763196751545]5 [...]
-tree STATE_4420000 [&lnP=-22224.09738235524] = [&R] (9:[&rate=0.002680919909443772]167.59043770962583,((14:[&rate=0.0018424578160761414]116.74286600249607,((((16:[&rate=0.001966057215174805]45.831062464973954,(((3:[&rate=0.0022911976523849772]17.122081903185943,5:[&rate=0.001918394372761262]17.122081903185943):[&rate=0.00210799221906635]22.36517126381149,((7:[&rate=0.0021696211344804676]25.436330936228554,13:[&rate=0.0022631945885776437]25.436330936228554):[&rate=0.0024958311384908824]3. [...]
-tree STATE_4430000 [&lnP=-22226.160786757617] = [&R] (9:[&rate=0.0020404075688439144]165.41421091194647,(((((((((23:[&rate=0.0025689980928679424]10.846388019095974,17:[&rate=0.00226926715814044]10.846388019095974):[&rate=0.0020232134532296438]18.141987324101414,((15:[&rate=0.0025321793426973166]10.283076969565231,(19:[&rate=0.002360896776495149]5.2703512506408075,(21:[&rate=0.0023265051298965176]4.0564674601343285,20:[&rate=0.0023978602516327298]4.0564674601343285):[&rate=0.0024503469064 [...]
-tree STATE_4440000 [&lnP=-22220.713614180208] = [&R] (9:[&rate=0.0030982235560314073]116.89356430836966,((((((((8:[&rate=0.00302648126081408]22.337120236824866,10:[&rate=0.003177244980201413]22.337120236824866):[&rate=0.003086261749498895]11.065842584364667,((3:[&rate=0.0030506884865639074]13.32377716437674,5:[&rate=0.0030075789287043503]13.32377716437674):[&rate=0.003013976806502206]15.899055251075218,((11:[&rate=0.0030326153887585135]7.252480278686153,12:[&rate=0.0029135631962267194]7. [...]
-tree STATE_4450000 [&lnP=-22216.459492049064] = [&R] (9:[&rate=0.002372481324419576]141.9491339247825,((14:[&rate=0.002707449860371763]84.27105295675183,33:[&rate=0.0028240218880024133]84.27105295675183):[&rate=0.0023861596689169827]13.498419130177183,((((((8:[&rate=0.002545802672516687]22.68555767393198,10:[&rate=0.0022996823558567633]22.68555767393198):[&rate=0.0025690023838825632]15.259746231153905,((3:[&rate=0.0025300701491781305]15.705968585130003,5:[&rate=0.0023219849133190753]15.7 [...]
-tree STATE_4460000 [&lnP=-22220.420336363906] = [&R] (9:[&rate=0.0028273390882696064]131.08610186871854,((14:[&rate=0.003279150595866442]85.51142686124872,((((((8:[&rate=0.003047485108581145]22.72541344444206,10:[&rate=0.0030928144490830357]22.72541344444206):[&rate=0.002803000894974943]12.564871992088598,((((11:[&rate=0.003047485108581145]6.77624268553933,12:[&rate=0.0027438092389753758]6.77624268553933):[&rate=0.0030300831974589444]14.638538197344396,13:[&rate=0.002860115691802508]21.4 [...]
-tree STATE_4470000 [&lnP=-22230.565229374486] = [&R] (9:[&rate=0.002378448256957688]143.67962758209015,(14:[&rate=0.0022719301908956644]106.85780700190192,(((((((23:[&rate=0.0025149437349497664]11.319101245664301,17:[&rate=0.002628285875082219]11.319101245664301):[&rate=0.0025327141484091827]14.816208385568205,((24:[&rate=0.0024709428011240424]11.334233544585151,((21:[&rate=0.002368301958031408]4.633556362634604,(19:[&rate=0.0025327141484091827]2.224181802519849,20:[&rate=0.0025416913791 [...]
-tree STATE_4480000 [&lnP=-22209.548793312024] = [&R] (9:[&rate=0.0026695463175856124]137.17131734751783,(33:[&rate=0.0025495899693703645]107.531967033049,(14:[&rate=0.002807735845132702]92.82096670039955,((((((23:[&rate=0.0026182401915945033]12.0229985808666,17:[&rate=0.002494283574457634]12.0229985808666):[&rate=0.0026293583996215637]13.023076381429975,(((15:[&rate=0.002579105017845445]10.50912865256159,(19:[&rate=0.0026755859581070046]4.029478651394512,(21:[&rate=0.002494283574457634]3 [...]
-tree STATE_4490000 [&lnP=-22230.51585488711] = [&R] (9:[&rate=0.002036364183349499]172.49065250725891,((((((((((7:[&rate=0.0023716563251733914]23.38873027284257,13:[&rate=0.0020458518590686365]23.38873027284257):[&rate=0.0021505410091042978]6.6275511788137536,(11:[&rate=0.00240197724317156]8.333746202941988,12:[&rate=0.0022980706381464586]8.333746202941988):[&rate=0.0021505410091042978]21.682535248714334):[&rate=0.0019610736862809446]8.978258946550977,(3:[&rate=0.0021251450724573753]16.9 [...]
-tree STATE_4500000 [&lnP=-22218.206138565958] = [&R] (9:[&rate=0.004259841184076634]98.15144470315174,((((((((22:[&rate=0.0027769024666452445]22.81287472227589,((15:[&rate=0.0028753491042665096]10.760310629581811,(19:[&rate=0.0038826083685445287]2.5042820955278686,(21:[&rate=0.0037401657793625447]2.2644196054555312,20:[&rate=0.0031304804328596758]2.2644196054555312):[&rate=0.0031072420564656608]0.2398624900723374):[&rate=0.002724559435859161]8.256028534053943):[&rate=0.00260916039549762] [...]
-tree STATE_4510000 [&lnP=-22228.32978451553] = [&R] (9:[&rate=0.002609091999544063]132.7073942904333,((33:[&rate=0.002504776395755627]88.74571506046668,(((((((23:[&rate=0.0027383675607537458]10.350495603920528,17:[&rate=0.0026035760355614035]10.350495603920528):[&rate=0.002598041736196854]11.628040257997736,((15:[&rate=0.0024887782001976593]12.09475716448433,(21:[&rate=0.0028581451858852164]6.8869713292790715,(19:[&rate=0.0027159681787932107]6.016553559434381,20:[&rate=0.0025262652039883 [...]
-tree STATE_4520000 [&lnP=-22217.35420445014] = [&R] (9:[&rate=0.002468557163671125]148.33661365516278,((14:[&rate=0.0024468464297642814]91.42517781737536,((((((8:[&rate=0.002779820481977933]24.864243418587435,10:[&rate=0.0026314629981420406]24.864243418587435):[&rate=0.002929105309582388]11.414539536355576,((3:[&rate=0.0027437526840057994]13.125825587241614,5:[&rate=0.002779820481977933]13.125825587241614):[&rate=0.0026126885665869824]21.837379329783758,((11:[&rate=0.0023221404158674935] [...]
-tree STATE_4530000 [&lnP=-22225.992876759126] = [&R] (9:[&rate=0.002715536210156532]124.20151051360928,(14:[&rate=0.002754449476690883]100.39518517786662,(33:[&rate=0.0026768431366930526]88.80042109420278,(((((22:[&rate=0.0027137487387264322]22.283934764358698,((24:[&rate=0.0027306599397901006]13.723678389798236,(15:[&rate=0.002733919891498614]11.268532028057267,((19:[&rate=0.0027623580511914013]2.566821023905196,20:[&rate=0.002760290533986364]2.566821023905196):[&rate=0.0027525990241055 [...]
-tree STATE_4540000 [&lnP=-22219.96413525497] = [&R] (9:[&rate=0.0023439605383086216]155.19910603365085,(33:[&rate=0.002308163844612906]111.54125791753498,(14:[&rate=0.0024596313399880103]94.04894476196097,((((((8:[&rate=0.0023370173086523826]25.158964046905982,10:[&rate=0.0023777767243426317]25.158964046905982):[&rate=0.0026125714829952932]16.681413304082188,((3:[&rate=0.0024044396230582994]15.980377946801688,5:[&rate=0.002481994646455121]15.980377946801688):[&rate=0.002308163844612906]2 [...]
-tree STATE_4550000 [&lnP=-22215.184517558704] = [&R] (9:[&rate=0.0032384464947179236]128.0894046722769,((((((((22:[&rate=0.0026919109268979035]23.168534462321436,(24:[&rate=0.0025406732069262958]14.280405776280087,(15:[&rate=0.0027321904362186495]11.745610633959439,(19:[&rate=0.002182012282384549]3.9276868601774653,(21:[&rate=0.0020086274462469906]3.104718505664938,20:[&rate=0.003166874740613404]3.104718505664938):[&rate=0.0026111703560185388]0.8229683545125273):[&rate=0.0028908799970325 [...]
-tree STATE_4560000 [&lnP=-22219.851544551893] = [&R] (9:[&rate=0.002280114002605229]166.07884552294365,(33:[&rate=0.002011852537874538]124.20302031916326,(14:[&rate=0.0024611344201002066]105.8563722261646,(((((((7:[&rate=0.003138054676199225]21.4980952224412,13:[&rate=0.002072968578162827]21.4980952224412):[&rate=0.002072968578162827]6.717456830361957,(11:[&rate=0.0021845361433932733]8.843309349768314,12:[&rate=0.0021175896910126464]8.843309349768314):[&rate=0.00293380835760319]19.372242 [...]
-tree STATE_4570000 [&lnP=-22207.41169828731] = [&R] (9:[&rate=0.0030428236659172415]125.8489182358299,(33:[&rate=0.003162918819330213]76.95363638097282,(14:[&rate=0.003581729046573258]65.2016359318144,(((((22:[&rate=0.003512220876396924]19.184599644064832,((23:[&rate=0.0029722581781168106]9.256692931866676,17:[&rate=0.002868742176673336]9.256692931866676):[&rate=0.0031863413743010906]8.891061620290175,(24:[&rate=0.003528266607791427]10.969778524546513,(15:[&rate=0.00337817030941134]7.455 [...]
-tree STATE_4580000 [&lnP=-22204.326015396313] = [&R] (9:[&rate=0.0025428789174326326]131.72743635028178,(33:[&rate=0.0025688564345166132]92.99677863662191,(14:[&rate=0.0034668880271476314]77.7631407998407,((((((((15:[&rate=0.002957933996278645]12.389152651261057,((20:[&rate=0.002402396611285075]2.687197727724244,19:[&rate=0.0035517497567715654]2.687197727724244):[&rate=0.0031403155941022187]1.2807482389625773,21:[&rate=0.0025428789174326326]3.967945966686821):[&rate=0.0026687538467008746 [...]
-tree STATE_4590000 [&lnP=-22224.68514017941] = [&R] (9:[&rate=0.0028165406824195074]129.42406711830034,(33:[&rate=0.002732578181239414]105.34079755400202,(((((16:[&rate=0.0023209268715239126]41.054989048098356,((8:[&rate=0.0025681817444498656]23.340060830882923,10:[&rate=0.0030564829036086867]23.340060830882923):[&rate=0.002518647555001743]15.207097603500902,((((11:[&rate=0.002685985360473118]5.193559479475022,12:[&rate=0.002881808605245245]5.193559479475022):[&rate=0.0024970620320494932 [...]
-tree STATE_4600000 [&lnP=-22219.926747667992] = [&R] (9:[&rate=0.0017581658654289803]202.17413339906344,(33:[&rate=0.0014593632971375316]142.20172020818606,(14:[&rate=0.0018359467300904327]122.46903831148157,((((16:[&rate=0.001857014974223144]53.01276896100146,((22:[&rate=0.0022715355436141327]27.410393655942535,((23:[&rate=0.0019091041186338176]13.070922371347033,17:[&rate=0.0023282460805249643]13.070922371347033):[&rate=0.002017952138148758]13.3202949021625,(((19:[&rate=0.0017581658654 [...]
-tree STATE_4610000 [&lnP=-22215.77943113359] = [&R] (9:[&rate=0.0037688686798450026]113.43805568389145,(33:[&rate=0.0028383789756270075]97.58039698329698,(14:[&rate=0.0033672233554856617]78.9028882984472,(((((((23:[&rate=0.003143030014434775]9.808846801147677,17:[&rate=0.0037688686798450026]9.808846801147677):[&rate=0.002900202052157738]13.791111139216518,(22:[&rate=0.0029295771454873783]22.74316285868547,(((21:[&rate=0.003056775357799209]3.362627489545852,(19:[&rate=0.003042720886510689 [...]
-tree STATE_4620000 [&lnP=-22219.96388127341] = [&R] (9:[&rate=0.0024681202497782]158.83958808101366,(33:[&rate=0.0019888038517741654]128.1249139355705,(14:[&rate=0.002609363294311821]96.53870381267211,(((((((22:[&rate=0.0024021438146332053]22.74986894297865,(((19:[&rate=0.0027176065218870375]4.519705599227374,(20:[&rate=0.003275276316100773]3.4200423683484984,21:[&rate=0.0025747454190856492]3.4200423683484984):[&rate=0.0025747454190856492]1.0996632308788752):[&rate=0.002901201825904258]6 [...]
-tree STATE_4630000 [&lnP=-22214.25226894769] = [&R] (9:[&rate=0.0026295852053621212]151.86558887106963,(33:[&rate=0.0018706402214902535]135.3129797068224,(14:[&rate=0.0021594733184094822]120.77350139350088,((((((((((21:[&rate=0.002354277181422913]5.5480259054174885,19:[&rate=0.002232644228346208]5.5480259054174885):[&rate=0.0026295852053621212]0.6939361223082443,20:[&rate=0.002262193338063385]6.241962027725733):[&rate=0.002354277181422913]7.829271602431832,15:[&rate=0.0018706402214902535 [...]
-tree STATE_4640000 [&lnP=-22215.039246954857] = [&R] (9:[&rate=0.0026741524061720673]140.53207487251413,((((((((23:[&rate=0.0020410453927613027]14.90062841120339,17:[&rate=0.0022262009327944214]14.90062841120339):[&rate=0.003063873670911126]10.048447036859644,((((21:[&rate=0.002706177311393474]4.934432331308562,(20:[&rate=0.0023604245637285823]3.9777162255146266,19:[&rate=0.002921327305275701]3.9777162255146266):[&rate=0.002706177311393474]0.9567161057939355):[&rate=0.0030370054142640004 [...]
-tree STATE_4650000 [&lnP=-22221.205780301756] = [&R] (9:[&rate=0.0037032504646454362]123.27501884333421,((((((16:[&rate=0.0035397852902941587]27.632148521271045,(((8:[&rate=0.005436424542264184]12.44433221150411,10:[&rate=0.0050099297918279025]12.44433221150411):[&rate=0.003971768802073837]12.325135008718648,(3:[&rate=0.004122786471941024]10.493606580923045,5:[&rate=0.004176638537424172]10.493606580923045):[&rate=0.0031904960570302574]14.275860639299713):[&rate=0.0031904960570302574]1.77 [...]
-tree STATE_4660000 [&lnP=-22223.451206152957] = [&R] (9:[&rate=0.003333420682698167]119.69195580173714,(((((16:[&rate=0.003077313782900751]31.666747850364146,((((3:[&rate=0.0029705618693097948]9.984330190504814,5:[&rate=0.0031301903461994325]9.984330190504814):[&rate=0.0032514551537025866]16.901829647009464,((7:[&rate=0.003456899967294777]18.816634994868853,13:[&rate=0.003077313782900751]18.816634994868853):[&rate=0.003211715637708087]4.042364115801707,(11:[&rate=0.0031126389880635733]6. [...]
-tree STATE_4670000 [&lnP=-22224.55987102006] = [&R] ((33:[&rate=0.0015033098697250875]127.41344739336316,(14:[&rate=0.0025951432915762005]99.10247379587003,((((((((((20:[&rate=0.0017594615224802508]4.43550829226851,19:[&rate=0.002065587221039234]4.43550829226851):[&rate=0.002707675895955605]0.9875865165921294,21:[&rate=0.001890273380730282]5.42309480886064):[&rate=0.0030166988620823313]6.1465743961731825,15:[&rate=0.0019493548449256324]11.569669205033822):[&rate=0.002018240964514909]9.07 [...]
-tree STATE_4680000 [&lnP=-22210.28812855184] = [&R] ((33:[&rate=0.003121817579034999]95.45263690279089,(14:[&rate=0.0027535418398201153]87.65204705813822,((((16:[&rate=0.002775385935771575]36.72952799361245,(((((11:[&rate=0.0031721958886923676]5.564549944795253,12:[&rate=0.002900662746755736]5.564549944795253):[&rate=0.002913053407856406]17.371314461701413,13:[&rate=0.002377392297329991]22.935864406496666):[&rate=0.002864869749351544]4.119265322673982,7:[&rate=0.0025464476022432274]27.05 [...]
-tree STATE_4690000 [&lnP=-22219.616842096693] = [&R] ((14:[&rate=0.0025330241318734324]97.54864510981844,((((((((7:[&rate=0.002844961374798401]19.623588755693753,13:[&rate=0.002938724999159014]19.623588755693753):[&rate=0.002830114370880461]6.05680655276106,(11:[&rate=0.0028226828181906753]5.073157036638655,12:[&rate=0.0030164651091391247]5.073157036638655):[&rate=0.0028673636462708952]20.607238271816158):[&rate=0.002753276631125845]4.678827762491515,(3:[&rate=0.0029748512649849235]12.95 [...]
-tree STATE_4700000 [&lnP=-22218.342666179575] = [&R] (((((((((8:[&rate=0.0024490481685494683]28.5910992005153,10:[&rate=0.002066714720956119]28.5910992005153):[&rate=0.002623516303617296]14.295491609448877,((3:[&rate=0.0022968503528366588]16.403784329434266,5:[&rate=0.002096977485555279]16.403784329434266):[&rate=0.002198581585480701]21.132981784225336,((11:[&rate=0.0022968503528366588]7.5144376079111215,12:[&rate=0.0023705407164097635]7.5144376079111215):[&rate=0.002155132597951434]21.5 [...]
-tree STATE_4710000 [&lnP=-22216.58461992204] = [&R] (((14:[&rate=0.0030390028386709554]86.74226661559766,((((16:[&rate=0.0031169722924297904]34.00132943067121,((8:[&rate=0.0031169722924297904]19.449280302613285,10:[&rate=0.00320957248104009]19.449280302613285):[&rate=0.002796015425941976]12.671012405156464,((3:[&rate=0.0031169722924297904]13.111135141054516,5:[&rate=0.0029255200666655407]13.111135141054516):[&rate=0.0028483044917478207]17.472732412586872,(((11:[&rate=0.003099536871278776 [...]
-tree STATE_4720000 [&lnP=-22226.113710274196] = [&R] ((14:[&rate=0.0024883554222826856]123.43597473561411,(33:[&rate=0.0026725158862222504]111.10179551849282,((((16:[&rate=0.0021887910477040805]41.11624449523075,((22:[&rate=0.0024444807292156737]25.61791250174128,((23:[&rate=0.0025562743583633753]11.27991292222992,17:[&rate=0.002976351061162406]11.27991292222992):[&rate=0.0026442261467531573]11.666604851039855,(24:[&rate=0.002433528198064673]16.232873020868603,(((21:[&rate=0.002533157533 [...]
-tree STATE_4730000 [&lnP=-22216.959739463273] = [&R] ((33:[&rate=0.001764223778063507]134.43103427285652,(((((((8:[&rate=0.0027077880907069524]24.661192586566305,10:[&rate=0.0022454037184716884]24.661192586566305):[&rate=0.0022454037184716884]16.708017072882203,((3:[&rate=0.0029503150527035566]13.557868662492748,5:[&rate=0.0025025145062596657]13.557868662492748):[&rate=0.0022042339431905113]23.10625766452556,(((11:[&rate=0.0022248309289109587]7.598052011168258,12:[&rate=0.001685126208121 [...]
-tree STATE_4740000 [&lnP=-22231.33209712474] = [&R] ((33:[&rate=0.002048306810943527]124.4637459564176,(((((16:[&rate=0.0018923883129962397]49.0581272561071,(((3:[&rate=0.0023834256989603616]18.4844245677295,5:[&rate=0.001628443942422197]18.4844245677295):[&rate=0.0017930756933127664]23.13609690457525,(((11:[&rate=0.002591291980236014]6.575731517624619,12:[&rate=0.002297563022104746]6.575731517624619):[&rate=0.0019608371229652677]24.510338217124076,13:[&rate=0.0017510994566052312]31.0860 [...]
-tree STATE_4750000 [&lnP=-22211.195517289347] = [&R] (((14:[&rate=0.003609518878315946]64.8634183674596,(((((((3:[&rate=0.0038059719197710952]11.103713277043576,5:[&rate=0.0030373432080378834]11.103713277043576):[&rate=0.003520352263525292]12.960954886909247,((7:[&rate=0.004194293418160428]14.689855092202905,13:[&rate=0.0039777963666523634]14.689855092202905):[&rate=0.003609518878315946]2.5811083106400616,(11:[&rate=0.004431085204295034]4.531547744527879,12:[&rate=0.003609518878315946]4. [...]
-tree STATE_4760000 [&lnP=-22215.62185639781] = [&R] (((((((((((15:[&rate=0.0031072174275546508]8.574886657729321,((20:[&rate=0.0031026536341733236]1.793143207305484,21:[&rate=0.0031026536341733236]1.793143207305484):[&rate=0.0030381974820822308]1.6329943498625843,19:[&rate=0.0030887764882152145]3.4261375571680683):[&rate=0.0030672555530280718]5.148749100561252):[&rate=0.0030751002507832235]1.585041432231959,24:[&rate=0.0030704968533325407]10.15992808996128):[&rate=0.003042494146491175]9. [...]
-tree STATE_4770000 [&lnP=-22217.50270471593] = [&R] (((((((((((15:[&rate=0.0027569994321217997]10.804240801089316,((20:[&rate=0.0025960615648710295]2.6835982454970684,19:[&rate=0.0029596056527520734]2.6835982454970684):[&rate=0.0024131676005676116]2.370067365171914,21:[&rate=0.0029749746069859494]5.053665610668983):[&rate=0.0029749746069859494]5.750575190420333):[&rate=0.0024790477637640232]1.5388532234611478,24:[&rate=0.0030070820730032513]12.343094024550464):[&rate=0.002638794020321335 [...]
-tree STATE_4780000 [&lnP=-22206.905211770463] = [&R] ((((((16:[&rate=0.0030133055759852543]33.40444087288752,((((3:[&rate=0.0031157784522009746]11.144767213919575,5:[&rate=0.0031566962296331012]11.144767213919575):[&rate=0.0028388082369536264]15.112754269132054,((7:[&rate=0.003710460935580338]17.05581440911708,13:[&rate=0.0025814720303469494]17.05581440911708):[&rate=0.0028149486816914987]3.6934736157561616,(11:[&rate=0.003833362136480703]5.89769741190567,12:[&rate=0.0030133055759852543] [...]
-tree STATE_4790000 [&lnP=-22221.452790074494] = [&R] ((((((((22:[&rate=0.0029630311739479312]23.445622478078647,(((15:[&rate=0.002867719390639163]11.677735949776826,((20:[&rate=0.002911606945926435]2.5513293529452064,21:[&rate=0.003048346579055423]2.5513293529452064):[&rate=0.0029763380584310944]0.3708763133507418,19:[&rate=0.002994564970017723]2.922205666295948):[&rate=0.003045058643538822]8.755530283480878):[&rate=0.0030003979234030733]1.8236010099771853,24:[&rate=0.0029916169219372443 [...]
-tree STATE_4800000 [&lnP=-22210.760665332953] = [&R] ((((((((((23:[&rate=0.002312024693203912]9.941913715791854,17:[&rate=0.002761070835167999]9.941913715791854):[&rate=0.0031427038312879492]9.453339737925704,(24:[&rate=0.0028392047960501426]11.881621798804298,(((20:[&rate=0.002150096706168167]3.1936766546632023,21:[&rate=0.0031653988162738548]3.1936766546632023):[&rate=0.0032141887619891677]0.33755180560725906,19:[&rate=0.0027138108621447975]3.5312284602704613):[&rate=0.0034532095485043 [...]
-tree STATE_4810000 [&lnP=-22218.415424599014] = [&R] (9:[&rate=0.0030105372884086535]122.10877494203787,(33:[&rate=0.0026124818712781554]102.77564698833037,(14:[&rate=0.002951898725193621]88.01344739645431,(((((16:[&rate=0.003134436196130451]30.860629311988564,(8:[&rate=0.003612965405184882]16.02984112333197,10:[&rate=0.003975860652207892]16.02984112333197):[&rate=0.003134436196130451]14.830788188656594):[&rate=0.0027392338141255896]0.9032398851732708,((3:[&rate=0.003567368089116731]12.1 [...]
-tree STATE_4820000 [&lnP=-22212.72093756749] = [&R] (9:[&rate=0.0034360691324366406]104.16010990966957,(33:[&rate=0.003379971937534091]83.88590476941499,(14:[&rate=0.003613907516095115]74.0589077058189,((((16:[&rate=0.0026651649081145716]32.343255146502216,(((3:[&rate=0.002845090850290963]12.567966280353719,5:[&rate=0.002921866942082345]12.567966280353719):[&rate=0.002845090850290963]17.083500829088127,(((11:[&rate=0.003056217257947167]6.260873603997446,12:[&rate=0.0030192479493707835]6. [...]
-tree STATE_4830000 [&lnP=-22205.934554786018] = [&R] (9:[&rate=0.0032937543755931285]114.15294156997712,(((((((((3:[&rate=0.0032937543755931285]12.493863789767428,5:[&rate=0.003057195133157351]12.493863789767428):[&rate=0.002938932402519374]17.00264999655477,((7:[&rate=0.0036457893499222452]19.983629421692576,13:[&rate=0.002176998708864632]19.983629421692576):[&rate=0.002826812938699491]6.538698526052009,(11:[&rate=0.0036457893499222452]5.732182016969857,12:[&rate=0.003036747582057669]5. [...]
-tree STATE_4840000 [&lnP=-22212.69733152494] = [&R] (9:[&rate=0.00242128920767528]141.10264071908708,((((((16:[&rate=0.0023453543072272137]40.55896000689801,((8:[&rate=0.002659670326404295]21.93277007360401,10:[&rate=0.002108917870448848]21.93277007360401):[&rate=0.002659670326404295]16.0983168799836,((3:[&rate=0.0025724966924903225]16.340997140593174,5:[&rate=0.002392212910422646]16.340997140593174):[&rate=0.0025724966924903225]18.251226823711356,((7:[&rate=0.0028824759380064045]24.4807 [...]
-tree STATE_4850000 [&lnP=-22206.67426191656] = [&R] (9:[&rate=0.003121925483912394]128.46186902638817,(33:[&rate=0.002718945501411668]95.09234785706259,((((((((((11:[&rate=0.003658383313291193]5.579602711193922,12:[&rate=0.0030290351603230337]5.579602711193922):[&rate=0.0031821677066359434]13.013080301530561,13:[&rate=0.002734673782666253]18.592683012724482):[&rate=0.0030806869228523657]5.221512207905569,7:[&rate=0.0033661742904868746]23.81419522063005):[&rate=0.0026267837484997697]4.469 [...]
-tree STATE_4860000 [&lnP=-22209.37951171693] = [&R] (9:[&rate=0.002801419591204044]146.27194267454155,(14:[&rate=0.00254133797714016]91.97224856459457,(((((((8:[&rate=0.0031459977868698824]21.11699138088285,10:[&rate=0.00265465049624263]21.11699138088285):[&rate=0.002461362262586813]11.979104691739472,(((11:[&rate=0.00343035797341953]7.065682911447794,12:[&rate=0.0026024283855980183]7.065682911447794):[&rate=0.002914011159123044]17.28552377384316,(13:[&rate=0.002218096885907644]19.717249 [...]
-tree STATE_4870000 [&lnP=-22206.056422914004] = [&R] (9:[&rate=0.0033707343438971506]97.80909596125811,(33:[&rate=0.0031747226622915376]76.54370318843056,(((((((((7:[&rate=0.0036404683358530637]15.01732596552696,13:[&rate=0.0035422927645704996]15.01732596552696):[&rate=0.002899548951538126]6.588619828003379,(11:[&rate=0.0035986252628263764]5.293611478466983,12:[&rate=0.003231558173103933]5.293611478466983):[&rate=0.00344415172171562]16.312334315063357):[&rate=0.003065906729828492]3.82355 [...]
-tree STATE_4880000 [&lnP=-22235.90717440479] = [&R] (9:[&rate=0.0028000469925502725]130.2278636045025,(33:[&rate=0.0024475050951885315]108.46140456525673,((((((((((11:[&rate=0.0027551035345267146]7.4394412038262585,12:[&rate=0.002963603559836466]7.4394412038262585):[&rate=0.0022945770439839566]16.116635881487365,13:[&rate=0.002521058486703798]23.556077085313625):[&rate=0.002893293401590596]6.117076045765305,7:[&rate=0.0028501971312428574]29.67315313107893):[&rate=0.002366701112301063]6.6 [...]
-tree STATE_4890000 [&lnP=-22216.09867604451] = [&R] (9:[&rate=0.002285875558958057]145.93542329264022,((((((((8:[&rate=0.0024411138105242176]22.41916483907691,10:[&rate=0.0022972725416552345]22.41916483907691):[&rate=0.002693565972247387]14.931663179495697,(((7:[&rate=0.002537090172737461]24.200966584891823,13:[&rate=0.0022384921969043504]24.200966584891823):[&rate=0.0026742868660537215]3.63382106700913,(11:[&rate=0.0022626021065503465]8.923960366453715,12:[&rate=0.0021422065604553876]8. [...]
-tree STATE_4900000 [&lnP=-22226.573271703823] = [&R] (9:[&rate=0.0023159261275937453]141.58917129207663,(((((((((24:[&rate=0.002641094593346042]13.070694018667195,(15:[&rate=0.0025991635569714375]9.669232920992908,(21:[&rate=0.0028051631378683112]4.564163356284677,(20:[&rate=0.002251458091873954]4.330681053081089,19:[&rate=0.0028051631378683112]4.330681053081089):[&rate=0.0025479275037933527]0.23348230320358798):[&rate=0.0024202656636432736]5.105069564708231):[&rate=0.002782075961448972] [...]
-tree STATE_4910000 [&lnP=-22205.22193336272] = [&R] (9:[&rate=0.0028861822926907537]108.51031952902513,((14:[&rate=0.0033737262797061776]75.23213281408664,((((16:[&rate=0.003292994424928273]30.820746349968104,((((11:[&rate=0.0032733066086718986]5.952224495953296,12:[&rate=0.0026048948650268917]5.952224495953296):[&rate=0.0029761824258867876]19.43931695920914,(13:[&rate=0.0026861424232335392]19.88662198623488,7:[&rate=0.0030587477916432307]19.88662198623488):[&rate=0.0033128465600372444]5 [...]
-tree STATE_4920000 [&lnP=-22211.659110170967] = [&R] (9:[&rate=0.003464349554863494]104.86315480943301,(33:[&rate=0.0024859996863149042]92.53054383931767,(14:[&rate=0.0027515424431998987]79.3128573876324,(((((22:[&rate=0.002732413724179267]21.91533259136202,((((21:[&rate=0.0029058908909849177]3.4562157826700366,(19:[&rate=0.003314867849424762]3.422964448885341,20:[&rate=0.0028666628203045056]3.422964448885341):[&rate=0.003510225739005197]0.0332513337846958):[&rate=0.002808848049313007]7. [...]
-tree STATE_4930000 [&lnP=-22227.397027778374] = [&R] (9:[&rate=0.0023352762473654743]168.62380056964997,(((((((22:[&rate=0.0023811990826638233]27.71973434292106,((23:[&rate=0.0023074368845579143]10.08559603625823,17:[&rate=0.002314240105729549]10.08559603625823):[&rate=0.002232676953781348]17.431641594238208,(((19:[&rate=0.0024632518226303892]4.7181083966000275,(20:[&rate=0.002328111615281306]4.409387271314197,21:[&rate=0.0021583048332231105]4.409387271314197):[&rate=0.002261971078813978 [...]
-tree STATE_4940000 [&lnP=-22214.53089643107] = [&R] (9:[&rate=0.0029521487782895924]124.8340131363707,((((((16:[&rate=0.0027901576412336674]35.219518708625536,((((11:[&rate=0.002880404298464631]6.7846036574860245,12:[&rate=0.0024978313936255183]6.7846036574860245):[&rate=0.00314478595358104]15.380722685114641,13:[&rate=0.0023111743101884323]22.165326342600665):[&rate=0.0030178882967027243]5.557311099249699,7:[&rate=0.002802624726528288]27.722637441850363):[&rate=0.002530176344969558]5.47 [...]
-tree STATE_4950000 [&lnP=-22212.76889198465] = [&R] (9:[&rate=0.0025438070478364916]143.96541795057354,(33:[&rate=0.0035568546937710566]87.88139393538937,(14:[&rate=0.0030850445093758565]80.27970421990105,((((16:[&rate=0.0032300321959550836]34.009394062001405,((8:[&rate=0.003054756738850642]23.17354001404064,10:[&rate=0.002767790348396639]23.17354001404064):[&rate=0.003163156355391068]9.898032784527139,((7:[&rate=0.0030397187923127114]26.511904284557968,((11:[&rate=0.002949499895668596]5 [...]
-tree STATE_4960000 [&lnP=-22219.119774902778] = [&R] (9:[&rate=0.002515635277051509]140.5861191481761,(14:[&rate=0.00276369015777749]95.72491496901608,(((((((23:[&rate=0.0027736185889353157]8.716196214167775,17:[&rate=0.0028215103243415763]8.716196214167775):[&rate=0.002783403035063019]14.2137040894926,((((19:[&rate=0.002783403035063019]3.3413445797036867,(20:[&rate=0.003150543420609328]2.9857679691507824,21:[&rate=0.0033245811604508146]2.9857679691507824):[&rate=0.002858793944554209]0.3 [...]
-tree STATE_4970000 [&lnP=-22214.32466409214] = [&R] (9:[&rate=0.004257902585711602]94.10471070973108,((14:[&rate=0.003297252053942166]65.57037387657283,(((((16:[&rate=0.003917160143118176]26.15430521412131,((3:[&rate=0.0034207639984245642]11.395164837571247,5:[&rate=0.0033688591605757824]11.395164837571247):[&rate=0.0036297500006033778]13.381166213947353,((11:[&rate=0.003744765587319564]4.781305189421153,12:[&rate=0.003961542653630217]4.781305189421153):[&rate=0.00372728006677581]13.5000 [...]
-tree STATE_4980000 [&lnP=-22230.70924088489] = [&R] (9:[&rate=0.0027835934529280926]131.7483589638473,(33:[&rate=0.002626900175705848]124.1049693030993,((((((((3:[&rate=0.0028740000121335514]15.577952355383292,5:[&rate=0.002638350497792378]15.577952355383292):[&rate=0.00281512641090787]17.12156381402166,(7:[&rate=0.0028214511562983722]27.482163049425548,((11:[&rate=0.002777236147927513]6.49733660151137,12:[&rate=0.002853716270455167]6.49733660151137):[&rate=0.0027446006336453435]19.00887 [...]
-tree STATE_4990000 [&lnP=-22221.402725722946] = [&R] (9:[&rate=0.0025367235999839187]153.76986986942217,((14:[&rate=0.002987259763980932]97.64477726727054,((((16:[&rate=0.0023744528970245983]43.06105501913985,(((18:[&rate=0.0023080461821598343]33.52573622471462,(26:[&rate=0.002105000105336257]20.959408543534597,25:[&rate=0.0025083058215164006]20.959408543534597):[&rate=0.0019047993224302765]12.566327681180024):[&rate=0.002987259763980932]3.430993627207201,(2:[&rate=0.0023348470067598164] [...]
-tree STATE_5000000 [&lnP=-22204.30380549576] = [&R] (9:[&rate=0.0032096524705853397]138.15075428367138,(33:[&rate=0.002071623576519196]100.11137503131377,(((((16:[&rate=0.0026362117950991374]37.471396666609714,(((3:[&rate=0.0024843056160957647]15.50924607676263,5:[&rate=0.0023424681878954955]15.50924607676263):[&rate=0.003148359977371939]14.289409703161603,(7:[&rate=0.0032417923520647106]24.897315083337375,((11:[&rate=0.002981768255319541]7.2498643101854015,12:[&rate=0.002586822882343529 [...]
-tree STATE_5010000 [&lnP=-22218.159958366123] = [&R] ((((((((8:[&rate=0.0031435600414614585]22.69646182701321,10:[&rate=0.0026787606615669294]22.69646182701321):[&rate=0.0019151665415677694]17.081803462474227,((3:[&rate=0.002620893528490695]13.13806823954774,5:[&rate=0.00198644189887625]13.13806823954774):[&rate=0.0018640239562139423]22.172212975423314,((11:[&rate=0.0027749393227423265]6.720101951110585,12:[&rate=0.001631976667128167]6.720101951110585):[&rate=0.002491040800291723]20.1730 [...]
-tree STATE_5020000 [&lnP=-22219.380719936667] = [&R] (9:[&rate=0.0028504155356409745]132.526884402515,(14:[&rate=0.002378934302100941]116.29115314643536,(33:[&rate=0.0022853627817424247]99.19372387085564,((((16:[&rate=0.0022168710294639222]39.70934786292905,(((7:[&rate=0.002325007875775106]26.36854828817752,((11:[&rate=0.002475300400808559]6.951650702208589,12:[&rate=0.003253028326386397]6.951650702208589):[&rate=0.002909796914680829]15.129803554026726,13:[&rate=0.002378934302100941]22.0 [...]
-tree STATE_5030000 [&lnP=-22212.555193075903] = [&R] (9:[&rate=0.0026086645261357896]126.63934602074636,(33:[&rate=0.002384485416837245]103.78557390226257,(14:[&rate=0.0023466026612955194]93.7812323796712,((((((((11:[&rate=0.00237242734942493]8.13261580222975,12:[&rate=0.00224239889243708]8.13261580222975):[&rate=0.002506801698999358]20.876287177865322,(7:[&rate=0.003203312344279136]24.94147204625889,13:[&rate=0.00224239889243708]24.94147204625889):[&rate=0.0024181749785675403]4.06743093 [...]
-tree STATE_5040000 [&lnP=-22214.120912926744] = [&R] (9:[&rate=0.0032195035393483983]109.67002637883643,(33:[&rate=0.002699029460704342]88.52805646416857,(14:[&rate=0.003006773560512658]74.9530657483835,((((16:[&rate=0.002699029460704342]31.105120454251264,((8:[&rate=0.0029636858163401155]22.325938136401234,10:[&rate=0.0029747848891587395]22.325938136401234):[&rate=0.003586592240294962]7.770846048485364,(((11:[&rate=0.0033054902313880254]5.16756903641182,12:[&rate=0.003652528427495183]5. [...]
-tree STATE_5050000 [&lnP=-22204.0989590612] = [&R] (9:[&rate=0.0033641728659491096]104.8000085881205,(33:[&rate=0.002280302638962793]80.46207995173538,(14:[&rate=0.003179388836173783]68.15154746575485,(((((16:[&rate=0.003422153840743087]26.548712018900694,(8:[&rate=0.0043814481910208715]15.677843251651217,10:[&rate=0.0040523744475469605]15.677843251651217):[&rate=0.0036778872888055493]10.870868767249478):[&rate=0.00428789583834276]0.9294469933056995,(((11:[&rate=0.003706717223390086]6.00 [...]
-tree STATE_5060000 [&lnP=-22213.208005702163] = [&R] (9:[&rate=0.002574590527146721]147.02048697937718,(14:[&rate=0.002455062207279368]111.93344967609605,(33:[&rate=0.0022016291035047773]99.84566144982267,((((((((11:[&rate=0.0027350173995020293]7.590678401387812,12:[&rate=0.002420596407652252]7.590678401387812):[&rate=0.002443385341686071]23.128818500505837,(7:[&rate=0.0025309510058988617]23.49324752810731,13:[&rate=0.001990582861865712]23.49324752810731):[&rate=0.0023020010178136817]7.2 [...]
-tree STATE_5070000 [&lnP=-22222.57411989855] = [&R] (9:[&rate=0.00254098915656323]146.59264281875312,(33:[&rate=0.0023046371430365683]106.21650524706493,(14:[&rate=0.0031466768790078194]96.18806858847616,((((((18:[&rate=0.0029746805323740367]26.49316879898461,(26:[&rate=0.002778037617559615]16.399848476638436,25:[&rate=0.0028806132481655903]16.399848476638436):[&rate=0.0019880911895728067]10.093320322346173):[&rate=0.0021366703453333945]8.025423099035525,(2:[&rate=0.002558583279176255]28 [...]
-tree STATE_5080000 [&lnP=-22212.363042006633] = [&R] (9:[&rate=0.0023709380956479513]151.8054074009101,(33:[&rate=0.001955852923809429]118.8797604989908,(14:[&rate=0.002595694939160683]99.7521225892356,((((((3:[&rate=0.002734432225265506]14.133331731263455,5:[&rate=0.002130923638722131]14.133331731263455):[&rate=0.0021701288395262843]22.505276608037455,((11:[&rate=0.002595694939160683]7.869822739328593,12:[&rate=0.002678026599779779]7.869822739328593):[&rate=0.002423026401156208]21.45120 [...]
-tree STATE_5090000 [&lnP=-22209.80127858242] = [&R] (9:[&rate=0.003338550423159094]135.81639017361996,(33:[&rate=0.0018900070574660692]127.26383476107736,(((((16:[&rate=0.0023243477805197188]43.96327321987071,((7:[&rate=0.0022844576253450767]33.42380211742437,((11:[&rate=0.0024787666385503674]7.219489868261257,12:[&rate=0.0022844576253450767]7.219489868261257):[&rate=0.0021756339711281538]19.8576470023306,13:[&rate=0.0019922420753311207]27.077136870591858):[&rate=0.0018900070574660692]6. [...]
-tree STATE_5100000 [&lnP=-22217.013085428094] = [&R] (14:[&rate=0.002099775872465361]125.28100562440235,(((((((16:[&rate=0.002214113230970389]39.66054912352548,(8:[&rate=0.0026483265165929155]22.70859878618732,10:[&rate=0.0025073380503302985]22.70859878618732):[&rate=0.0026928694747499152]16.951950337338157):[&rate=0.002435053224978328]0.5728684632477581,((3:[&rate=0.002317103226442308]17.143136547721433,5:[&rate=0.002227286879842147]17.143136547721433):[&rate=0.0020836157836217]20.35936 [...]
-tree STATE_5110000 [&lnP=-22209.56233622363] = [&R] (9:[&rate=0.003261183969366686]103.17138441122789,((((((16:[&rate=0.0038131582309739952]28.821183591028216,(((3:[&rate=0.004129934154775173]9.420273370965557,5:[&rate=0.004400648447974026]9.420273370965557):[&rate=0.003954743770657805]11.706750851490256,((11:[&rate=0.004474886600390112]4.53123719291697,12:[&rate=0.0038600474929724182]4.53123719291697):[&rate=0.003978825009364161]14.41683666463837,(7:[&rate=0.0047706518848007326]15.92297 [...]
-tree STATE_5120000 [&lnP=-22205.686142149203] = [&R] (9:[&rate=0.003345943925122991]112.49718731477742,(((((((((11:[&rate=0.0034024713358075005]5.266651355514912,12:[&rate=0.0027764566770588695]5.266651355514912):[&rate=0.003188441085883816]16.114095054789434,(7:[&rate=0.0029928819635590045]17.402707837512335,13:[&rate=0.0029785053597847153]17.402707837512335):[&rate=0.0030070972138662817]3.9780385727920127):[&rate=0.002886841187284242]4.645131740456318,(3:[&rate=0.003188441085883816]11. [...]
-tree STATE_5130000 [&lnP=-22210.18947324276] = [&R] (9:[&rate=0.002823044828033675]125.55659959441493,((14:[&rate=0.0034145988389824404]75.5123697369385,((((((18:[&rate=0.0029276642634145514]23.255106671672014,(26:[&rate=0.0029758050304352236]14.003435205295181,25:[&rate=0.0027754252450325942]14.003435205295181):[&rate=0.0030008648400286103]9.251671466376832):[&rate=0.0027507068684550703]5.186557827965487,(2:[&rate=0.0029276642634145514]24.835556629436923,((1:[&rate=0.0028810295911407863 [...]
-tree STATE_5140000 [&lnP=-22222.927694571976] = [&R] (9:[&rate=0.0027487580841778284]119.53629798830038,((33:[&rate=0.002947093241184035]83.94724584462713,((((((18:[&rate=0.0030277825208043316]23.311822624087824,(26:[&rate=0.00305185849737107]14.063489397203107,25:[&rate=0.0028818985717905437]14.063489397203107):[&rate=0.0029655111302218807]9.248333226884718):[&rate=0.0029166498527630714]4.598170333809378,(2:[&rate=0.0029607932215445286]25.553833424403752,((1:[&rate=0.0029426455628311296 [...]
-tree STATE_5150000 [&lnP=-22209.704394351298] = [&R] (9:[&rate=0.0037093237550680797]114.18790245944403,(33:[&rate=0.0033958814459149273]81.83708255604597,(14:[&rate=0.0033958814459149273]70.61941156764813,((((((18:[&rate=0.004070859978794771]22.68220546384164,(26:[&rate=0.0036153250815216405]12.950196482334906,25:[&rate=0.00332263378889197]12.950196482334906):[&rate=0.003178268231958158]9.732008981506734):[&rate=0.0029888696974596186]3.177444934675748,(2:[&rate=0.0030380180604789517]23. [...]
-tree STATE_5160000 [&lnP=-22218.241119704162] = [&R] (9:[&rate=0.002999764456215517]131.23555602499,(33:[&rate=0.002999764456215517]106.83238982882912,(14:[&rate=0.002572035461571246]93.25935411637212,((((((18:[&rate=0.0028845150514000694]26.22105334063442,(26:[&rate=0.002393588275398275]17.715258111236267,25:[&rate=0.00251771530518457]17.715258111236267):[&rate=0.0024518996286303166]8.505795229398153):[&rate=0.0027888917483922223]8.02315510933932,(2:[&rate=0.0028057167787638154]31.38036 [...]
-tree STATE_5170000 [&lnP=-22207.87851614278] = [&R] (9:[&rate=0.002361074334045992]119.59248188289621,((14:[&rate=0.0034214556047382112]73.69966591884119,((((((18:[&rate=0.002949288861940233]22.797947302521504,(26:[&rate=0.004032618808825393]10.956070363408227,25:[&rate=0.003657731240142558]10.956070363408227):[&rate=0.0028316302460663365]11.841876939113277):[&rate=0.0027720117040491567]6.039378486389587,(2:[&rate=0.0028316302460663365]23.918767431333677,((1:[&rate=0.00318931147310442]6. [...]
-tree STATE_5180000 [&lnP=-22216.312659986386] = [&R] (9:[&rate=0.002956410084828772]139.546679879265,(33:[&rate=0.002793788623147577]94.05183784272246,(((((((18:[&rate=0.002742972967305372]23.45685825141344,(26:[&rate=0.003272797025136479]14.401396201639342,25:[&rate=0.003356789714962574]14.401396201639342):[&rate=0.0028645436573548877]9.055462049774098):[&rate=0.0023991225958110243]5.202033040544297,(2:[&rate=0.0027294955879080757]25.170071988940883,((1:[&rate=0.0032089725146450723]7.07 [...]
-tree STATE_5190000 [&lnP=-22225.689375133574] = [&R] (9:[&rate=0.003690076528777556]113.16994144675895,((((16:[&rate=0.00200605804752064]42.118383644842424,((((18:[&rate=0.0028813795965125953]23.99905599592805,(26:[&rate=0.003334279662513983]15.85739745682683,25:[&rate=0.002693567202788863]15.85739745682683):[&rate=0.0034509825035266752]8.14165853910122):[&rate=0.0014752596720830273]10.055638106357552,(2:[&rate=0.003111897743867031]25.75479526296421,((1:[&rate=0.003597983130715344]6.1725 [...]
-tree STATE_5200000 [&lnP=-22212.903093179943] = [&R] (9:[&rate=0.0028724556170166074]121.19458442299148,(14:[&rate=0.002296231870766004]85.53569159726983,(((((((18:[&rate=0.004148055336341314]18.00728445951315,(26:[&rate=0.0044705075626172925]12.283471719897419,25:[&rate=0.002673807064101646]12.283471719897419):[&rate=0.003193631130245969]5.723812739615733):[&rate=0.0016881823717988665]13.501144687129553,(2:[&rate=0.0027296631147699243]28.434571654347437,((1:[&rate=0.004740505299651676]5 [...]
-tree STATE_5210000 [&lnP=-22223.78483158925] = [&R] (9:[&rate=0.002832722627443509]143.31863757977322,((14:[&rate=0.0026546771296873883]98.0250394967244,((((16:[&rate=0.002674280011821692]38.72127148887744,((8:[&rate=0.002812470554845533]22.0649605302977,10:[&rate=0.002792409459549399]22.0649605302977):[&rate=0.0032894166803668565]13.827808551784354,(((11:[&rate=0.002832722627443509]5.371820564322669,12:[&rate=0.0021260018559322216]5.371820564322669):[&rate=0.002353600844182889]18.988686 [...]
-tree STATE_5220000 [&lnP=-22223.012874115273] = [&R] (9:[&rate=0.002315450750147485]151.06237030448904,((((((((8:[&rate=0.002457772366930652]22.75527680265781,10:[&rate=0.002608361738807738]22.75527680265781):[&rate=0.0028478125429368204]16.203929470038105,(((11:[&rate=0.0026430682882859196]8.093127719409887,12:[&rate=0.0024699623938786177]8.093127719409887):[&rate=0.0023638783033918848]17.892652148535113,(7:[&rate=0.002784457427632364]22.952398638325356,13:[&rate=0.002432699178938431]22 [...]
-tree STATE_5230000 [&lnP=-22216.857238998848] = [&R] (9:[&rate=0.002601419970642022]134.19677632448446,((14:[&rate=0.0028141196041967546]88.27828628462268,((((((18:[&rate=0.002799811934053731]25.612612413794153,(26:[&rate=0.003303472545988825]13.542059694332352,25:[&rate=0.0029462837395668024]13.542059694332352):[&rate=0.0026620992031126055]12.070552719461801):[&rate=0.002799811934053731]5.81129971515055,(2:[&rate=0.002585719156241221]26.335504442342188,((1:[&rate=0.0025678247530515853]8 [...]
-tree STATE_5240000 [&lnP=-22216.137594812277] = [&R] (9:[&rate=0.0016904618887781647]153.43179345462897,((14:[&rate=0.0027750987004489516]87.545952481707,((((((18:[&rate=0.002442978564243666]32.12999912119132,(26:[&rate=0.002380722425780875]21.697261920639754,25:[&rate=0.0018310491194024415]21.697261920639754):[&rate=0.002510514676474324]10.432737200551564):[&rate=0.0024217257874794246]4.290029941029687,(2:[&rate=0.002266344407928942]29.29863855839726,((1:[&rate=0.00248729789655316]6.654 [...]
-tree STATE_5250000 [&lnP=-22226.023900371718] = [&R] (9:[&rate=0.0022255252316962172]155.76858769599983,((((((((18:[&rate=0.0023862012884044792]26.741096127241825,(26:[&rate=0.0024284068873191666]18.671781505072687,25:[&rate=0.002182551473101961]18.671781505072687):[&rate=0.002095609663802839]8.069314622169138):[&rate=0.0020382979718270343]7.453913907742717,(2:[&rate=0.0020703507403699636]31.74822841618522,((1:[&rate=0.0020382979718270343]8.285303607079607,6:[&rate=0.0024284068873191666] [...]
-tree STATE_5260000 [&lnP=-22220.884938369752] = [&R] (9:[&rate=0.003802902411055901]93.25286346709998,((14:[&rate=0.003581904108334479]69.15146403598969,((((((18:[&rate=0.003502933501374527]19.216461614920725,(26:[&rate=0.004097669529727069]11.529434755550987,25:[&rate=0.0038322334028030613]11.529434755550987):[&rate=0.003896210502149507]7.6870268593697375):[&rate=0.0034140876376950006]5.291679350327623,(2:[&rate=0.003774832969823606]20.339551967207104,((1:[&rate=0.004277668931955461]5.8 [...]
-tree STATE_5270000 [&lnP=-22223.342370558952] = [&R] (9:[&rate=0.0022495391071022447]145.83769981144425,(33:[&rate=0.001822830549178412]123.52061934726865,((((((((18:[&rate=0.002200862586719697]28.487111500953922,(26:[&rate=0.002184109358705352]18.42681995111028,25:[&rate=0.002273668550497182]18.42681995111028):[&rate=0.0018953348479612542]10.060291549843644):[&rate=0.002209102412674309]6.110333232724685,(2:[&rate=0.0021755602916826147]31.22411794731269,((1:[&rate=0.0022253875616873972]8 [...]
-tree STATE_5280000 [&lnP=-22215.538054720593] = [&R] (9:[&rate=0.0024165874210988706]154.05132200685776,(33:[&rate=0.0020422319471379738]109.23740770134165,(((((((18:[&rate=0.002461725166584542]28.36064693725955,(26:[&rate=0.0033399548887758923]17.0569324117241,25:[&rate=0.0020885587144032227]17.0569324117241):[&rate=0.0030508486331466012]11.303714525535447):[&rate=0.002461725166584542]4.417968211513642,(2:[&rate=0.0024908575355345594]30.540944243990104,((1:[&rate=0.0025052298765142963]7 [...]
-tree STATE_5290000 [&lnP=-22219.3579829598] = [&R] (9:[&rate=0.00275609989358064]139.720735213659,(33:[&rate=0.0025186296620174687]101.99467183978055,((((((((18:[&rate=0.0029011791013198547]25.059346601511088,(26:[&rate=0.0031668172734098683]15.725101420861082,25:[&rate=0.002551603614870123]15.725101420861082):[&rate=0.002551603614870123]9.334245180650006):[&rate=0.002999131620226811]7.2224218302753584,(2:[&rate=0.0029878760314360872]26.96631883641404,((1:[&rate=0.0031668172734098683]6.4 [...]
-tree STATE_5300000 [&lnP=-22212.490700307197] = [&R] (9:[&rate=0.0038274480740587966]107.7488776495065,((33:[&rate=0.003540934599923473]68.72147648042153,14:[&rate=0.0035730418263347505]68.72147648042153):[&rate=0.003427489754277636]7.744270647128047,(((((((24:[&rate=0.003556724670914337]12.00836097982347,(((20:[&rate=0.002943949340516357]2.508262033689405,21:[&rate=0.003168030780012372]2.508262033689405):[&rate=0.003350448029647854]0.6260188301438196,19:[&rate=0.0036259612697883926]3.13 [...]
-tree STATE_5310000 [&lnP=-22212.27345416055] = [&R] (9:[&rate=0.0026206370381189515]135.48985773197188,((14:[&rate=0.0028693765999232156]79.94077914366616,((((((23:[&rate=0.0025513165283472805]8.809174513767664,17:[&rate=0.003374399850870783]8.809174513767664):[&rate=0.002708151077673979]12.666653390653876,((24:[&rate=0.0032106336141034244]15.1492576467952,(((20:[&rate=0.0030302334250175336]2.6885953317512095,21:[&rate=0.0028693765999232156]2.6885953317512095):[&rate=0.002620637038118951 [...]
-tree STATE_5320000 [&lnP=-22211.265437022397] = [&R] (9:[&rate=0.0029734628371548503]122.1439343101691,((33:[&rate=0.0031119117283435853]87.94046131546959,(((((((((21:[&rate=0.0024972716798454166]3.5109827023100406,(20:[&rate=0.003345612922580855]2.3488011082354063,19:[&rate=0.0027379198446692253]2.3488011082354063):[&rate=0.0034997818326869793]1.1621815940746343):[&rate=0.0028072628466823705]5.4770223488381555,15:[&rate=0.0027379198446692253]8.988005051148196):[&rate=0.00323462411969328 [...]
-tree STATE_5330000 [&lnP=-22212.158836782743] = [&R] (9:[&rate=0.0030324374906832477]129.30159436280476,(33:[&rate=0.002622046399339781]109.51187281986917,(((((((23:[&rate=0.002502479686047535]8.907092894618378,17:[&rate=0.003336239863861066]8.907092894618378):[&rate=0.0025203205183652808]11.438521876479074,(22:[&rate=0.003596029693497546]19.57299013220842,(((21:[&rate=0.0023389391431755603]5.679665893487142,(19:[&rate=0.0021895753608074113]3.9881637492116573,20:[&rate=0.0021895753608074 [...]
-tree STATE_5340000 [&lnP=-22221.6337481788] = [&R] (9:[&rate=0.004384230311740255]94.77531968919314,(14:[&rate=0.003154894098540919]79.52957445005424,(((((((23:[&rate=0.003884575890264553]8.017296004241746,17:[&rate=0.003495837814054729]8.017296004241746):[&rate=0.0035916608957245943]11.533464412614041,(22:[&rate=0.003576267809846027]18.6604926970217,(((19:[&rate=0.0036818156188070123]4.034280899970486,(20:[&rate=0.0041122869879578585]2.3596849694143067,21:[&rate=0.003495837814054729]2.3 [...]
-tree STATE_5350000 [&lnP=-22217.322142057328] = [&R] (9:[&rate=0.0017083809879094606]182.43675731817353,((14:[&rate=0.0025734153323504756]110.1152315008258,(((((22:[&rate=0.0021673423430990414]27.52657388276412,(((((21:[&rate=0.001964366377680155]4.608771947322291,20:[&rate=0.0021673423430990414]4.608771947322291):[&rate=0.0020308032120844137]0.5697554917486327,19:[&rate=0.0017406755697811287]5.1785274390709235):[&rate=0.0018148779579136452]8.018497472810466,15:[&rate=0.00223112159537369 [...]
-tree STATE_5360000 [&lnP=-22207.227829789248] = [&R] (9:[&rate=0.0032288844759729113]110.89584985996278,((((((((22:[&rate=0.003204560646200602]21.457220039137386,(((19:[&rate=0.0035120901676209655]4.779853793791555,(20:[&rate=0.002693800462225735]3.2149523921225622,21:[&rate=0.0028330826824916047]3.2149523921225622):[&rate=0.0036532299616729613]1.564901401668993):[&rate=0.0027720427479034256]5.789332528696122,15:[&rate=0.002306885245411876]10.569186322487678):[&rate=0.002990757257026399] [...]
-tree STATE_5370000 [&lnP=-22213.037992680187] = [&R] (9:[&rate=0.003702184514108257]96.98469766912123,((((((((8:[&rate=0.003288592017195402]16.187304897123962,10:[&rate=0.003774614555050541]16.187304897123962):[&rate=0.003542976761063367]10.479576949660665,(((11:[&rate=0.003774614555050541]4.418747240187768,12:[&rate=0.003386049614407502]4.418747240187768):[&rate=0.003288592017195402]14.553744068086052,(7:[&rate=0.003718360232622523]16.433562821503923,13:[&rate=0.003095627231621471]16.43 [...]
-tree STATE_5380000 [&lnP=-22212.36836951469] = [&R] (9:[&rate=0.004215931925459813]100.31797361393572,((((((16:[&rate=0.003782024306128632]30.65053035674008,((((23:[&rate=0.0033311802755274203]8.226951399484257,17:[&rate=0.004124351926649709]8.226951399484257):[&rate=0.004297698561870781]7.587073945188617,(((21:[&rate=0.003598940269965555]2.783645051966385,(19:[&rate=0.003554501281848001]2.472826285818843,20:[&rate=0.0032417890707693046]2.472826285818843):[&rate=0.004098679875627549]0.31 [...]
-tree STATE_5390000 [&lnP=-22219.338099335615] = [&R] (9:[&rate=0.002500774884221704]160.78947402270197,(((((((((23:[&rate=0.0029396851203717838]10.051042517436834,17:[&rate=0.0027792140921071486]10.051042517436834):[&rate=0.002524006400602444]12.537899730670159,((((19:[&rate=0.002500774884221704]4.914211159967982,(21:[&rate=0.003201080979245636]3.2648201681083,20:[&rate=0.0030241949470114883]3.2648201681083):[&rate=0.0027302405597204853]1.6493909918596819):[&rate=0.0026794423069289057]5. [...]
-tree STATE_5400000 [&lnP=-22211.30638033257] = [&R] (9:[&rate=0.0023549112657749705]147.11104296747146,(33:[&rate=0.002093428796234794]103.86138459030488,(14:[&rate=0.0032421992338197256]81.01978287450366,(((((((((21:[&rate=0.0027513849706555667]3.6160721611931343,(19:[&rate=0.003170941233648286]2.6074193069951312,20:[&rate=0.0018077759182261483]2.6074193069951312):[&rate=0.0027962093522957386]1.008652854198003):[&rate=0.0028899157461153993]4.838779768058895,15:[&rate=0.00317094123364828 [...]
-tree STATE_5410000 [&lnP=-22224.116677393606] = [&R] (9:[&rate=0.0030113966135955836]130.99530763376657,(33:[&rate=0.002549252947000949]108.99302404811098,((((((((((19:[&rate=0.001637355086795208]5.971888114631868,(21:[&rate=0.001637355086795208]3.190502613465282,20:[&rate=0.0025717784194435405]3.190502613465282):[&rate=0.0021775290925654454]2.7813855011665862):[&rate=0.002670877512371207]3.3799549250648013,15:[&rate=0.0026985735962430256]9.35184303969667):[&rate=0.0021775290925654454]4. [...]
-tree STATE_5420000 [&lnP=-22212.751170585096] = [&R] (9:[&rate=0.0025067393257332798]151.90794167806865,(14:[&rate=0.002466753891114798]110.13939969334702,((((((((23:[&rate=0.0022890094904586067]11.697688118099391,17:[&rate=0.002548283401437343]11.697688118099391):[&rate=0.0024766632223276507]14.140153963774322,(((19:[&rate=0.0026164801727209227]5.622467285499473,(21:[&rate=0.0021698115306321287]3.119925751927801,20:[&rate=0.002548283401437343]3.119925751927801):[&rate=0.0024966399760736 [...]
-tree STATE_5430000 [&lnP=-22224.232683658334] = [&R] (9:[&rate=0.0024376930647155497]167.2482010662499,((((((((8:[&rate=0.0022149788668953314]26.51433989773405,10:[&rate=0.0024376930647155497]26.51433989773405):[&rate=0.0020843372711388326]21.252878618492392,((7:[&rate=0.0021724508270469594]34.02310471634459,(13:[&rate=0.001529637728769088]27.8034516536583,(11:[&rate=0.00214599364383981]10.099502431456461,12:[&rate=0.001529637728769088]10.099502431456461):[&rate=0.002279452708605936]17.7 [...]
-tree STATE_5440000 [&lnP=-22209.70586307304] = [&R] (9:[&rate=0.0025346145314440642]125.53396635844743,((((((((8:[&rate=0.0034836151635754603]19.14082965475526,10:[&rate=0.0032273068830528705]19.14082965475526):[&rate=0.003099870702863906]11.190209708804172,((7:[&rate=0.003345830320149662]23.57491744429367,(13:[&rate=0.002487736280978821]18.647568721003136,(11:[&rate=0.0029180759919942784]5.688730333135418,12:[&rate=0.0028988507992658307]5.688730333135418):[&rate=0.0035369933550324925]12 [...]
-tree STATE_5450000 [&lnP=-22223.69282121362] = [&R] (9:[&rate=0.0022162236066278953]185.45896258617265,((14:[&rate=0.002496279222337159]104.82015391403768,((((((8:[&rate=0.0023636178929080445]27.90477994435297,10:[&rate=0.0020190918945105643]27.90477994435297):[&rate=0.0025154974840306482]15.158172271828615,(((11:[&rate=0.0023265058855297697]7.716664210532199,12:[&rate=0.0023060179631459307]7.716664210532199):[&rate=0.0023195641305107043]27.586689214013973,(13:[&rate=0.002175712519674621 [...]
-tree STATE_5460000 [&lnP=-22214.907928509438] = [&R] (9:[&rate=0.0022823754162756356]150.08438680609652,((14:[&rate=0.0023396738606684528]102.23005816845624,(((((((23:[&rate=0.0029828225982113333]11.117100941572554,17:[&rate=0.0027154228981798095]11.117100941572554):[&rate=0.0017964946959288738]13.924670906630032,((((19:[&rate=0.002419295419486359]5.191442784482652,(20:[&rate=0.0020716645996768095]3.9452279124541354,21:[&rate=0.002163228994920416]3.9452279124541354):[&rate=0.001692229893 [...]
-tree STATE_5470000 [&lnP=-22223.52254159187] = [&R] (9:[&rate=0.002319009250658605]154.05358399667546,((((((((23:[&rate=0.002319009250658605]11.150699740958714,17:[&rate=0.0023994451560895675]11.150699740958714):[&rate=0.0022703632455297338]15.201944656624747,(22:[&rate=0.0024432927608076696]25.402074583161166,((((21:[&rate=0.002378676497222527]3.098163070316471,20:[&rate=0.0024668234904076294]3.098163070316471):[&rate=0.002045430779211065]0.6569963296138517,19:[&rate=0.00217837857712571 [...]
-tree STATE_5480000 [&lnP=-22208.859503729676] = [&R] (9:[&rate=0.00335353819933728]101.6026814978329,(33:[&rate=0.003134855238829244]74.09469783378826,((((((((3:[&rate=0.003389717481432928]11.12091205508916,5:[&rate=0.002362259717296842]11.12091205508916):[&rate=0.003250682150367645]16.67362696263983,(8:[&rate=0.002918559954421125]18.311950571717023,10:[&rate=0.003032438447297633]18.311950571717023):[&rate=0.0037888799963955496]9.482588446011967):[&rate=0.0029585491213811304]0.5680491903 [...]
-tree STATE_5490000 [&lnP=-22210.402109760118] = [&R] (9:[&rate=0.0029616112064698883]121.99632507571968,(33:[&rate=0.0024690622861698684]88.45071315207069,(14:[&rate=0.003468540045632961]74.57727326197363,(((((((3:[&rate=0.003060828960244898]14.656270615179237,5:[&rate=0.002566805076261263]14.656270615179237):[&rate=0.0027343974391683627]14.245658041623075,((7:[&rate=0.0031836264095852973]19.46994608316764,13:[&rate=0.0026474562223283747]19.46994608316764):[&rate=0.0022130232010230113]3. [...]
-tree STATE_5500000 [&lnP=-22224.18295658448] = [&R] (9:[&rate=0.002317607920606383]179.44802789267194,(33:[&rate=0.0018081708288761017]139.2407654867596,((((((((23:[&rate=0.002239297416764552]14.395935229004262,17:[&rate=0.002148483448356042]14.395935229004262):[&rate=0.002662589503458768]12.608479019145229,(((15:[&rate=0.002381555354552456]13.660008629976167,(19:[&rate=0.0015297319845636599]8.285184999481903,(21:[&rate=0.002202250250682428]3.1724887276541334,20:[&rate=0.0017873294754294 [...]
-tree STATE_5510000 [&lnP=-22216.291907725023] = [&R] (9:[&rate=0.0031660155425359657]121.79330292437305,(14:[&rate=0.0028322936210257274]92.17385842431787,((((((((3:[&rate=0.0032333947099676937]12.402482025880825,5:[&rate=0.0031762467658523227]12.402482025880825):[&rate=0.00308354631126541]15.72282059886155,((11:[&rate=0.0032752517962471427]5.065674747818076,12:[&rate=0.003058225718210491]5.065674747818076):[&rate=0.003246499031741375]17.8914264666235,(13:[&rate=0.0027692799832663866]20. [...]
-tree STATE_5520000 [&lnP=-22231.6596852859] = [&R] (9:[&rate=0.0033120888787969245]130.69680035837783,(33:[&rate=0.0017070210693064128]128.00287208450825,(14:[&rate=0.0027558424553877324]96.05191022718891,((((16:[&rate=0.0020326041185701094]45.82074625609716,(((3:[&rate=0.0018938495116826671]22.08160743032578,5:[&rate=0.0018282710327667878]22.08160743032578):[&rate=0.0029572262741397615]16.46599735399192,(7:[&rate=0.002379100670730246]33.34486306365151,(13:[&rate=0.0022669655465695194]23 [...]
-tree STATE_5530000 [&lnP=-22214.881097801044] = [&R] (9:[&rate=0.002181847968248494]155.96667766528998,((14:[&rate=0.003145544329280032]81.76179654620222,(((((22:[&rate=0.0029159423073223728]23.878075300390137,((23:[&rate=0.0028071237634701898]11.221950064970192,17:[&rate=0.0026099742550467087]11.221950064970192):[&rate=0.002525874769438579]10.286731019609972,(((21:[&rate=0.0028818881958302626]3.5530504329755983,(20:[&rate=0.0032497420498701214]2.881482794436159,19:[&rate=0.0027800463379 [...]
-tree STATE_5540000 [&lnP=-22207.736368207752] = [&R] (9:[&rate=0.0022577885685679975]138.41370029313046,(33:[&rate=0.0022577885685679975]109.32119405583609,(14:[&rate=0.0026019327259730737]90.6947117203229,(((((((23:[&rate=0.0029222600134494268]10.022160414831333,17:[&rate=0.0029550444090687697]10.022160414831333):[&rate=0.0025048376434377915]10.41855437251471,((((21:[&rate=0.00257113635072283]1.9848085264375916,20:[&rate=0.0032463324310658083]1.9848085264375916):[&rate=0.002571136350722 [...]
-tree STATE_5550000 [&lnP=-22218.77545035855] = [&R] (9:[&rate=0.0021289919139487593]162.68110408966035,(((((((((15:[&rate=0.0021994366551748384]10.56120976802592,((21:[&rate=0.0021289919139487593]2.5287441067206977,20:[&rate=0.0029427260694422537]2.5287441067206977):[&rate=0.003406673813361188]1.980630540492034,19:[&rate=0.0020009591519327724]4.509374647212732):[&rate=0.002779840430104384]6.051835120813188):[&rate=0.00299569062116731]2.8485047437437547,24:[&rate=0.002462595606827378]13.4 [...]
-tree STATE_5560000 [&lnP=-22218.437246080717] = [&R] (9:[&rate=0.0027667031794226644]135.95949418549824,(33:[&rate=0.00261156338007728]97.8074966250012,(((((16:[&rate=0.002404110569474225]39.32661711566674,(((22:[&rate=0.0028307342908626175]23.979186878862237,(24:[&rate=0.0028172120882769464]12.840120014983485,(((21:[&rate=0.0028307342908626175]3.1817657148166845,20:[&rate=0.0025112419139486277]3.1817657148166845):[&rate=0.002589996521175023]1.0645990777988352,19:[&rate=0.002217019118607 [...]
-tree STATE_5570000 [&lnP=-22218.199086303095] = [&R] (9:[&rate=0.0028992000193803266]113.09105973317659,(33:[&rate=0.0033386926317742183]75.76292065178363,((((((((3:[&rate=0.003809086200534733]10.085035639651197,5:[&rate=0.002371956107474593]10.085035639651197):[&rate=0.0027927514051082677]15.749891184943992,((11:[&rate=0.0031900348820281003]5.000054994302498,12:[&rate=0.0031900348820281003]5.000054994302498):[&rate=0.002847759105248136]15.895904481167651,(7:[&rate=0.003745495314565536]1 [...]
-tree STATE_5580000 [&lnP=-22231.380904776463] = [&R] (9:[&rate=0.0027248977602305057]137.744223086416,(14:[&rate=0.0022029975170347895]106.77342613879034,(((((((8:[&rate=0.002648316209730779]24.857725253783414,10:[&rate=0.002290359718962203]24.857725253783414):[&rate=0.002326798771099991]16.283941178281857,((3:[&rate=0.0025473003153423735]15.22355687751347,5:[&rate=0.0026647341861283664]15.22355687751347):[&rate=0.002436410330015787]23.49889907944294,((11:[&rate=0.0027248977602305057]7.8 [...]
-tree STATE_5590000 [&lnP=-22217.08322034969] = [&R] (9:[&rate=0.00251662886402082]139.5076348479047,((14:[&rate=0.0027070716210236337]84.63881768466062,(((((((11:[&rate=0.002351636153366753]7.749036264697337,12:[&rate=0.0023068773299428228]7.749036264697337):[&rate=0.002784105217503276]17.40113041671984,(7:[&rate=0.0034257914326222797]16.266079600596843,13:[&rate=0.00255270859518417]16.266079600596843):[&rate=0.00191115034672328]8.884087080820336):[&rate=0.0025648060638842137]10.10698911 [...]
-tree STATE_5600000 [&lnP=-22213.66817104392] = [&R] (9:[&rate=0.002865899180363957]134.10662623302096,((14:[&rate=0.003034923717729736]83.3532081189853,(((((((3:[&rate=0.002649400917644812]14.383415095975847,5:[&rate=0.0024180647149544964]14.383415095975847):[&rate=0.00223250017694569]20.3991536691681,((11:[&rate=0.002621147740337993]7.051116918702267,12:[&rate=0.0018596890035386879]7.051116918702267):[&rate=0.002594440314883155]21.965276775743103,(7:[&rate=0.002748745852182277]26.255015 [...]
-tree STATE_5610000 [&lnP=-22204.75966020581] = [&R] (9:[&rate=0.002686566464154741]117.7510338311477,((14:[&rate=0.0032104983811862536]69.45732163690435,((((16:[&rate=0.003008448510498302]32.032304571700045,(((3:[&rate=0.0036895796580127265]10.727425154750991,5:[&rate=0.002532776214955362]10.727425154750991):[&rate=0.0033658996961351386]18.139151321265388,((11:[&rate=0.0031075939106936343]6.024965594492382,12:[&rate=0.0031243259833687097]6.024965594492382):[&rate=0.002488908352869732]17. [...]
-tree STATE_5620000 [&lnP=-22210.3333927942] = [&R] (9:[&rate=0.0031499430901304414]124.62509339625339,((14:[&rate=0.0023674088445587082]86.47481460222987,(((((((3:[&rate=0.0024650477215576805]13.576204954112876,5:[&rate=0.002774436471639522]13.576204954112876):[&rate=0.0029304829445753124]15.540101648044027,((11:[&rate=0.003501227689389126]4.90911965074083,12:[&rate=0.002604776133445206]4.90911965074083):[&rate=0.002945845646521763]19.14721130579071,(7:[&rate=0.003293464629935907]18.9659 [...]
-tree STATE_5630000 [&lnP=-22224.16205664683] = [&R] (9:[&rate=0.0024531869389813887]133.89783749045912,(33:[&rate=0.0024271063787995864]107.6437813036174,(((((((8:[&rate=0.002446248401760654]23.614642680220886,10:[&rate=0.002442688465231209]23.614642680220886):[&rate=0.0023984996012811014]15.972368742771035,((3:[&rate=0.0024531869389813887]15.593877369783513,5:[&rate=0.002458323573431393]15.593877369783513):[&rate=0.0024818845458567476]20.47325399725041,(7:[&rate=0.0024669711972571022]30 [...]
-tree STATE_5640000 [&lnP=-22209.026359758846] = [&R] (9:[&rate=0.0021248740449276303]132.89141278484297,((14:[&rate=0.002544047218814271]87.78965933742361,((((((8:[&rate=0.0026385636420723775]23.175476350149285,10:[&rate=0.002525973477618986]23.175476350149285):[&rate=0.0024903879470749434]16.47759596604917,((3:[&rate=0.0024903879470749434]15.73355696358384,5:[&rate=0.0021026847569479644]15.73355696358384):[&rate=0.0025809153046696125]17.17621876935033,((11:[&rate=0.002508097068918765]6. [...]
-tree STATE_5650000 [&lnP=-22223.06229420842] = [&R] (9:[&rate=0.002228390430292725]152.82325192317143,((14:[&rate=0.0024661293771630465]98.90853637946498,(((((((3:[&rate=0.002033357685349022]20.125175733335777,5:[&rate=0.001691278448802729]20.125175733335777):[&rate=0.0026087112569281312]17.72101958074573,((11:[&rate=0.0024661293771630465]5.836956142364736,12:[&rate=0.0019357882195395503]5.836956142364736):[&rate=0.002128010820497559]21.174944125973546,(7:[&rate=0.002695760721231675]24.3 [...]
-tree STATE_5660000 [&lnP=-22235.532630855338] = [&R] (9:[&rate=0.0019072250408053988]186.41096847710688,((33:[&rate=0.0019907398275541568]131.8245844164453,((((((3:[&rate=0.002116651253519937]17.735867814598315,5:[&rate=0.0019282293127613945]17.735867814598315):[&rate=0.0020742381304141317]27.691718852706444,(7:[&rate=0.002138140383934821]38.92714128748321,((11:[&rate=0.0024270084843294702]7.643051722596313,12:[&rate=0.0021818601526497157]7.643051722596313):[&rate=0.0015321441125373478]2 [...]
-tree STATE_5670000 [&lnP=-22218.02694054907] = [&R] (9:[&rate=0.002727836762338125]139.55857574444653,((33:[&rate=0.002671467351652202]94.59683874773745,((((((((((20:[&rate=0.0033365643816859357]3.0638589400210883,21:[&rate=0.0029856465846940785]3.0638589400210883):[&rate=0.002800723375366241]0.8191640148532429,19:[&rate=0.0024762157239987923]3.883022954874331):[&rate=0.0025419668297241953]8.19393901815033,15:[&rate=0.002841575808821037]12.07696197302466):[&rate=0.002841575808821037]2.14 [...]
-tree STATE_5680000 [&lnP=-22219.37893566537] = [&R] (9:[&rate=0.0024026021932252385]140.09283477752513,((14:[&rate=0.0025569233808994825]88.33050973888007,(((((((23:[&rate=0.0022754055406648682]10.60238141623423,17:[&rate=0.002606906923478691]10.60238141623423):[&rate=0.002255821394802907]11.662296661832599,(15:[&rate=0.0023885122145696877]12.822673922805066,(24:[&rate=0.002658349487693673]12.231778646344779,((20:[&rate=0.002234768449400961]3.6027158212328323,19:[&rate=0.0026850577428666 [...]
-tree STATE_5690000 [&lnP=-22210.84020661516] = [&R] (9:[&rate=0.00318501615424269]109.25253418047794,((14:[&rate=0.00303595958377175]81.4940752011351,((((((22:[&rate=0.002822465197271966]18.011258750628123,(24:[&rate=0.003313165028810552]14.03889850558464,(((21:[&rate=0.003225504314956073]2.4621658179148307,20:[&rate=0.0032902370020323284]2.4621658179148307):[&rate=0.0025618112353551874]2.046485163062642,19:[&rate=0.002588849347116605]4.508650980977473):[&rate=0.00407766223393599]4.86951 [...]
-tree STATE_5700000 [&lnP=-22213.327569652498] = [&R] (9:[&rate=0.003128896730757228]121.03789815907125,((14:[&rate=0.004384382388384556]68.71576776859362,((((((23:[&rate=0.0023658690543361624]11.173595890925544,17:[&rate=0.0029611599967377267]11.173595890925544):[&rate=0.0023658690543361624]10.64211750628213,((24:[&rate=0.005697129955690052]10.726493082485122,(15:[&rate=0.0032008183656069247]7.537631931822191,((20:[&rate=0.0021392307633923036]1.3614576176732622,21:[&rate=0.00204663287670 [...]
-tree STATE_5710000 [&lnP=-22214.964479957485] = [&R] ((((((((((23:[&rate=0.0030843838148290528]9.660767611896686,17:[&rate=0.0024533436423048323]9.660767611896686):[&rate=0.002875266055107474]10.217829334750432,((24:[&rate=0.0031974037032816505]11.738342546925633,(15:[&rate=0.004046223514316612]8.517638423012176,((20:[&rate=0.003314100844893098]1.4071568032253883,21:[&rate=0.0029705130337038263]1.4071568032253883):[&rate=0.002685162420682822]0.3854031596750518,19:[&rate=0.003792014547557 [...]
-tree STATE_5720000 [&lnP=-22214.944840401997] = [&R] (((14:[&rate=0.0030450350314665826]72.0488287886847,((((((23:[&rate=0.0031966278817912256]7.303335775097941,17:[&rate=0.0030343723966026375]7.303335775097941):[&rate=0.002986913468222192]13.560447021744668,((24:[&rate=0.0031030097651130323]12.948011633985493,(15:[&rate=0.003023828874718939]9.714058925269278,((20:[&rate=0.003209910953806844]3.1066405250964633,21:[&rate=0.0029289494921388775]3.1066405250964633):[&rate=0.00313075477541006 [...]
-tree STATE_5730000 [&lnP=-22217.68755779652] = [&R] ((33:[&rate=0.002684193403904205]103.36680022705248,(((((((23:[&rate=0.002253392583706152]12.067680429923648,17:[&rate=0.002350125272083425]12.067680429923648):[&rate=0.0027594439991639177]10.071323744969089,((24:[&rate=0.0026698005926483635]12.378442726815292,(15:[&rate=0.0023142748195537875]9.50687231898717,((20:[&rate=0.0034308539603785117]2.1725385353774183,21:[&rate=0.0024149583024400912]2.1725385353774183):[&rate=0.002759443999163 [...]
-tree STATE_5740000 [&lnP=-22209.794301802714] = [&R] (((((((((23:[&rate=0.0026897787075622105]10.689280771693378,17:[&rate=0.002420365409305722]10.689280771693378):[&rate=0.002288514814230409]13.16096156961157,(22:[&rate=0.002547015925124523]23.295339344517778,(24:[&rate=0.0023695348002415067]15.96344965929059,(15:[&rate=0.002408352976088213]11.50721572502205,((20:[&rate=0.0023830151893974795]2.9017815340594852,19:[&rate=0.002869486687523486]2.9017815340594852):[&rate=0.00244336936320911 [...]
-tree STATE_5750000 [&lnP=-22209.41388445451] = [&R] ((33:[&rate=0.0024346869782605474]104.86898380604133,(((((((8:[&rate=0.0024346869782605474]27.467612360926125,10:[&rate=0.0022190336788202574]27.467612360926125):[&rate=0.0026666444465022485]15.997554957999306,(((11:[&rate=0.0021954311443447517]9.190679176256737,12:[&rate=0.0015912477124099553]9.190679176256737):[&rate=0.0024881551554322917]23.599080652388487,(7:[&rate=0.0027534661685881716]24.91435818622796,13:[&rate=0.0016874368807760 [...]
-tree STATE_5760000 [&lnP=-22217.23410064574] = [&R] ((33:[&rate=0.002395640140248982]100.98062199894008,(14:[&rate=0.0027843853862232057]86.18120027883974,((((((8:[&rate=0.0029627680871864384]17.299627785183542,10:[&rate=0.0032496156202955462]17.299627785183542):[&rate=0.003191035922908935]15.88896840157604,(((11:[&rate=0.002887713514732303]5.958236459902343,12:[&rate=0.0028070015620524314]5.958236459902343):[&rate=0.0026282134715960377]19.22676263599532,(7:[&rate=0.003218543406071848]19 [...]
-tree STATE_5770000 [&lnP=-22234.786580732496] = [&R] ((14:[&rate=0.002184826641653344]128.52281328423723,(33:[&rate=0.0020171595896412565]115.87014949861528,((((((22:[&rate=0.002221897065787198]26.533441074769698,((23:[&rate=0.002369904352220297]11.548926863354051,17:[&rate=0.002497764493796651]11.548926863354051):[&rate=0.0020052272769916896]13.19710216668338,(24:[&rate=0.0024417984441147973]14.87882403944442,((19:[&rate=0.0020171595896412565]5.110561563067233,(21:[&rate=0.0027210585083 [...]
-tree STATE_5780000 [&lnP=-22215.057980600322] = [&R] ((33:[&rate=0.002550705197091982]89.07190105274852,(14:[&rate=0.003557344942123077]73.47804718747942,(((((8:[&rate=0.002957834676472316]18.398179089462374,10:[&rate=0.0029405590027119875]18.398179089462374):[&rate=0.0026160058277749317]14.691280431042536,(16:[&rate=0.0030124069052769762]32.99033742574143,(((11:[&rate=0.002843404785549969]6.43641625070795,12:[&rate=0.002737565620331118]6.43641625070795):[&rate=0.0024586669935192933]19.1 [...]
-tree STATE_5790000 [&lnP=-22217.279079610584] = [&R] ((((((((8:[&rate=0.0028976865087444676]21.597485770412092,10:[&rate=0.002946604967825078]21.597485770412092):[&rate=0.003304368580968396]11.744803082467776,((3:[&rate=0.0026885419560093386]14.53514126376529,5:[&rate=0.0029643369417749746]14.53514126376529):[&rate=0.003046039768517339]14.275166057416506,((11:[&rate=0.003096845212063201]6.901447993453622,12:[&rate=0.002929651145728386]6.901447993453622):[&rate=0.0030236014817104943]18.36 [...]
-tree STATE_5800000 [&lnP=-22215.11930780154] = [&R] ((14:[&rate=0.0022600263421294993]104.66215763226073,(33:[&rate=0.0026852838613545997]92.52165719004624,((((((8:[&rate=0.002792577244776797]22.66408796573961,10:[&rate=0.0028977379977688502]22.66408796573961):[&rate=0.0026041332398855374]14.102933137294045,((3:[&rate=0.002921545161198801]14.897520748089038,5:[&rate=0.001965661271490832]14.897520748089038):[&rate=0.002636004249155291]18.450351476616085,((11:[&rate=0.0020551684498718048]9 [...]
-tree STATE_5810000 [&lnP=-22217.165299535325] = [&R] (((14:[&rate=0.0024051149377217014]103.62830840234238,(((((((3:[&rate=0.0031845207637966715]12.082808359372155,5:[&rate=0.0021945045766745904]12.082808359372155):[&rate=0.0021128896763374806]26.10614242102525,((11:[&rate=0.002766775029652277]7.448721528687838,12:[&rate=0.0026931155013081827]7.448721528687838):[&rate=0.002554901496328621]20.8037160005626,(7:[&rate=0.002766775029652277]23.325296402038685,13:[&rate=0.0021128896763374806]2 [...]
-tree STATE_5820000 [&lnP=-22211.8582389998] = [&R] (((33:[&rate=0.0032159972209911563]74.81351742944992,((((((18:[&rate=0.002913564719505657]24.186294464103987,(26:[&rate=0.003898013948894328]12.68891229859857,25:[&rate=0.002934662753505041]12.68891229859857):[&rate=0.002789353933793802]11.497382165505417):[&rate=0.002934662753505041]3.2606241784413257,(2:[&rate=0.003400056749257101]21.95831637410772,((1:[&rate=0.002528640290557303]8.530239956049886,6:[&rate=0.0024787461119748907]8.53023 [...]
-tree STATE_5830000 [&lnP=-22210.777902367056] = [&R] (((((((16:[&rate=0.002243116230550336]41.490450450716246,(((3:[&rate=0.002525480840070585]15.462401721497876,5:[&rate=0.002456861959600111]15.462401721497876):[&rate=0.002714165612200649]20.4411362132415,((11:[&rate=0.0027447810315119536]6.941766912263059,12:[&rate=0.002224992336145117]6.941766912263059):[&rate=0.002373299933103631]19.061022010568166,(7:[&rate=0.0027780112241390254]22.46393449532541,13:[&rate=0.0021842604993548035]22.4 [...]
-tree STATE_5840000 [&lnP=-22225.328406465982] = [&R] ((33:[&rate=0.0025410933279594442]112.31617819650529,(14:[&rate=0.002629869585667858]99.54239889484623,(((((((3:[&rate=0.002871163547682031]14.309336485378036,5:[&rate=0.0025223074828661833]14.309336485378036):[&rate=0.0028060848531012072]20.759417430666485,((11:[&rate=0.0025928629219656666]6.207285015171891,12:[&rate=0.002528850066170196]6.207285015171891):[&rate=0.002648421907775399]20.549066440001155,(7:[&rate=0.0026437409254317875] [...]
-tree STATE_5850000 [&lnP=-22219.531732543477] = [&R] ((33:[&rate=0.0023510252447046694]109.03633241534949,(((((((8:[&rate=0.0032729481210743653]20.64567800474747,10:[&rate=0.0025863073798680367]20.64567800474747):[&rate=0.0028259642520674392]18.306407912065733,((3:[&rate=0.002870199888791099]13.449911136566024,5:[&rate=0.0026558294535411206]13.449911136566024):[&rate=0.002482584954366655]21.496449387402244,(7:[&rate=0.0025209589347686833]28.500054889259133,((11:[&rate=0.00295016505247654 [...]
-tree STATE_5860000 [&lnP=-22208.503871628] = [&R] ((33:[&rate=0.0026714271923620157]101.33290418055446,(14:[&rate=0.0025151105978317182]86.24830092380626,((((16:[&rate=0.002729943377804585]34.96881676590285,((8:[&rate=0.003256356476061101]19.48380673426958,10:[&rate=0.0027441052633722764]19.48380673426958):[&rate=0.0031403734651953602]14.158980788523923,((3:[&rate=0.00259095806304586]15.301081242605507,5:[&rate=0.002701125451620039]15.301081242605507):[&rate=0.002554842120834213]15.45209 [...]
-tree STATE_5870000 [&lnP=-22214.878113621828] = [&R] ((33:[&rate=0.0019307644538500014]115.5662749790916,(14:[&rate=0.0031633760336533066]82.71967194035108,(((((((3:[&rate=0.002092606035552298]16.921133101813894,5:[&rate=0.0018254173196075058]16.921133101813894):[&rate=0.0028546377848926493]15.214643770374465,((11:[&rate=0.0025479086379269055]7.264247361637869,12:[&rate=0.0021163753594253027]7.264247361637869):[&rate=0.002640280328110608]19.194425654322032,(7:[&rate=0.002292246156113709] [...]
-tree STATE_5880000 [&lnP=-22206.08553918966] = [&R] ((33:[&rate=0.001983313040044135]126.61860238358433,(14:[&rate=0.0026008196834712513]100.9690884937723,(((((((8:[&rate=0.002827776125198891]21.56526797591315,10:[&rate=0.002868258430681706]21.56526797591315):[&rate=0.002827776125198891]12.3210443585224,(3:[&rate=0.003067432160595948]12.850267399790388,5:[&rate=0.002789454649974374]12.850267399790388):[&rate=0.0022236238493654283]21.03604493464516):[&rate=0.0027003585267477113]2.33640160 [...]
-tree STATE_5890000 [&lnP=-22211.47497246434] = [&R] ((33:[&rate=0.0019205171042654607]121.41287109548662,((((((8:[&rate=0.002578110453806206]24.310909217313814,10:[&rate=0.0025647671923613572]24.310909217313814):[&rate=0.0024782329634052283]14.057557517115413,(16:[&rate=0.0025517312947169546]37.35894235737263,((3:[&rate=0.0029539301820692204]13.054139318068597,5:[&rate=0.0021990942387167443]13.054139318068597):[&rate=0.0023977911687663436]21.54958718708384,((11:[&rate=0.00201165388060598 [...]
-tree STATE_5900000 [&lnP=-22226.763824273963] = [&R] ((((((((((18:[&rate=0.0019164007953519986]31.763088980463127,(26:[&rate=0.002751990944165881]17.170245041687625,25:[&rate=0.0019590112608298556]17.170245041687625):[&rate=0.0019590112608298556]14.592843938775502):[&rate=0.002274663650681567]3.340255436257795,(2:[&rate=0.002532757146331978]31.133645539662908,((1:[&rate=0.002751990944165881]7.692699748000993,6:[&rate=0.0019590112608298556]7.692699748000993):[&rate=0.002015444112347856]19 [...]
-tree STATE_5910000 [&lnP=-22223.79490597233] = [&R] ((33:[&rate=0.0025218590879750647]106.83450719165363,(((((16:[&rate=0.0030327747444989]38.56046094352955,((8:[&rate=0.0032968734351789056]21.810455054511387,10:[&rate=0.0030327747444989]21.810455054511387):[&rate=0.002471188867482878]12.854597237721428,((3:[&rate=0.0029690954112443603]12.91837701600915,5:[&rate=0.0027993765163800556]12.91837701600915):[&rate=0.0027799557600708307]18.62381260839864,((11:[&rate=0.003094959940875016]6.3221 [...]
-tree STATE_5920000 [&lnP=-22224.10395158517] = [&R] ((33:[&rate=0.0021569179800258677]134.12382110967994,(((((((18:[&rate=0.002330834492439535]29.268543909341265,(26:[&rate=0.0024983653475825537]15.722738193965355,25:[&rate=0.0025882311070409996]15.722738193965355):[&rate=0.0020882146821824305]13.54580571537591):[&rate=0.0023182408325386396]9.497017404910533,(2:[&rate=0.0022818061442548276]33.312089690925916,((1:[&rate=0.002293753664057656]9.465824174870749,6:[&rate=0.0019543533894898846 [...]
-tree STATE_5930000 [&lnP=-22198.966707384425] = [&R] ((33:[&rate=0.0024138428415823527]84.36748492152223,(((((16:[&rate=0.003281450226988718]30.63286484667011,(((3:[&rate=0.004163122077552924]10.138505434274126,5:[&rate=0.003908510064020155]10.138505434274126):[&rate=0.0031764866756537045]15.091328943472384,((11:[&rate=0.00347660808525765]6.706336773304774,12:[&rate=0.002975982658593539]6.706336773304774):[&rate=0.003323577017138323]14.545913538749843,(7:[&rate=0.004236333764358161]15.39 [...]
-tree STATE_5940000 [&lnP=-22219.164381225353] = [&R] ((33:[&rate=0.002708046678550176]109.62321706290804,(14:[&rate=0.0031691627034363162]94.09897930919524,((((((3:[&rate=0.002397181543149982]16.609972593664935,5:[&rate=0.0019697184104215124]16.609972593664935):[&rate=0.002825232429883964]16.95055118223859,(8:[&rate=0.002517398175325815]22.78253354713266,10:[&rate=0.0027237251932616027]22.78253354713266):[&rate=0.0028831739645192042]10.777990228770864):[&rate=0.0029993689068689754]2.8206 [...]
-tree STATE_5950000 [&lnP=-22220.227842340344] = [&R] ((33:[&rate=0.0015073694906538857]158.5619879890659,(((((((18:[&rate=0.0026462658031806787]28.56049415648264,(26:[&rate=0.0029349386932997646]16.072117925997492,25:[&rate=0.0026228712459702313]16.072117925997492):[&rate=0.0023406336128080104]12.488376230485148):[&rate=0.0024613536749878775]12.011724505772605,(2:[&rate=0.0025374925099485588]33.022834136299664,((1:[&rate=0.0022914329903023917]10.490449392250001,6:[&rate=0.001822484945051 [...]
-tree STATE_5960000 [&lnP=-22214.45231168983] = [&R] ((33:[&rate=0.0024293974673270063]92.24047172784691,(((((((18:[&rate=0.0027740207691327574]25.60019855265416,(26:[&rate=0.003951453584390086]10.604907006188387,25:[&rate=0.003581535075865104]10.604907006188387):[&rate=0.0019893645904923494]14.995291546465772):[&rate=0.002317286610594174]7.006999591371741,(2:[&rate=0.00259212673931985]25.427883845479155,((1:[&rate=0.0031188788704941974]7.822679105449708,6:[&rate=0.002241133518252565]7.82 [...]
-tree STATE_5970000 [&lnP=-22215.1294128208] = [&R] ((33:[&rate=0.0022192628082545384]108.33405927070667,(((((((18:[&rate=0.002161213029929624]28.733985175005177,(26:[&rate=0.0027025581762028343]15.845801877944243,25:[&rate=0.0027615111748540344]15.845801877944243):[&rate=0.0025454728032411273]12.888183297060934):[&rate=0.0024248613284446117]7.030525548377039,(2:[&rate=0.002508600817673303]29.94679036413621,((1:[&rate=0.0025454728032411273]8.413515210005494,6:[&rate=0.002034246774202588]8 [...]
-tree STATE_5980000 [&lnP=-22210.699306359646] = [&R] ((33:[&rate=0.0019367242760861022]135.18908004371042,(((((((18:[&rate=0.0029513340165125616]26.220788884063133,(26:[&rate=0.002508065230544569]17.126971666897497,25:[&rate=0.002795365160917507]17.126971666897497):[&rate=0.0038282062783948807]9.093817217165636):[&rate=0.003186471819828572]4.20456645301666,(2:[&rate=0.003265799045343313]25.265964526686307,((1:[&rate=0.002658127822955298]8.678270527261507,6:[&rate=0.002305286450003654]8.6 [...]
-tree STATE_5990000 [&lnP=-22218.37602885908] = [&R] ((33:[&rate=0.002282229589618701]113.56808168331912,(((((((18:[&rate=0.002354669289089273]28.865136233292684,(26:[&rate=0.0027533247367316034]16.1089135240376,25:[&rate=0.0025744731954907177]16.1089135240376):[&rate=0.002512322307312631]12.756222709255084):[&rate=0.0029740145193183853]4.0630222310182695,(2:[&rate=0.002852587857595225]28.26673606980033,((1:[&rate=0.0026495486288448016]7.943415010872829,6:[&rate=0.002213513977548363]7.943 [...]
-tree STATE_6000000 [&lnP=-22220.712145176127] = [&R] (((((((((18:[&rate=0.0022948272932840786]27.05552253793358,(26:[&rate=0.002855607998130833]15.623113463816846,25:[&rate=0.0024760287162550665]15.623113463816846):[&rate=0.002271972346495329]11.432409074116734):[&rate=0.0020298485887756492]6.9026604870230805,(2:[&rate=0.0026621458487556047]29.144789552426893,((1:[&rate=0.0026621458487556047]6.203559337777462,6:[&rate=0.0027114768488559777]6.203559337777462):[&rate=0.0023176605823335265] [...]
-tree STATE_6010000 [&lnP=-22214.500457678896] = [&R] ((14:[&rate=0.0024199651458944767]101.57671634121064,(((((((18:[&rate=0.0030622836030733402]24.17503296158913,(26:[&rate=0.0032587777704435523]12.581523640424757,25:[&rate=0.002480564696081669]12.581523640424757):[&rate=0.002402870033540414]11.593509321164374):[&rate=0.0032023968137686164]6.463225539732683,(2:[&rate=0.0032587777704435523]25.600695855745634,((1:[&rate=0.0031217467430165076]6.750740658580644,6:[&rate=0.002261582112904501 [...]
-tree STATE_6020000 [&lnP=-22218.368411929638] = [&R] (((((((22:[&rate=0.003051569028550509]21.197039507196674,((24:[&rate=0.003029740142486515]11.07747149022373,(15:[&rate=0.0023757386516124247]8.60497483639992,((21:[&rate=0.0037560993103855915]2.9276855236007213,20:[&rate=0.003231751775421886]2.9276855236007213):[&rate=0.003117625164286714]0.5846337485658815,19:[&rate=0.0029861631924319146]3.512319272166603):[&rate=0.003162483990547421]5.0926555642333176):[&rate=0.0029424620721967432]2. [...]
-tree STATE_6030000 [&lnP=-22202.937034000493] = [&R] (((14:[&rate=0.0040310928548953065]58.830280384568596,(((((((24:[&rate=0.004235689858046763]8.517997004115127,(15:[&rate=0.004535902079633314]6.2881672097906165,(19:[&rate=0.0036690941549593716]2.064624547231299,(21:[&rate=0.004331246199499137]1.8283357920087056,20:[&rate=0.003823388532775883]1.8283357920087056):[&rate=0.004193784495014816]0.23628875522259363):[&rate=0.004135788390305043]4.223542662559318):[&rate=0.004154575389363739]2 [...]
-tree STATE_6040000 [&lnP=-22232.75640130492] = [&R] ((33:[&rate=0.0024766281720643014]125.6476961202,(14:[&rate=0.0027031075352930644]97.94023686509054,(((((((24:[&rate=0.002581518513933403]13.841114776881666,(15:[&rate=0.002513669081875034]9.983063717850497,(19:[&rate=0.002520933778011145]2.769119562817569,(21:[&rate=0.0024875988908225773]1.990593445030662,20:[&rate=0.002562095796603976]1.990593445030662):[&rate=0.002447390422372261]0.778526117786907):[&rate=0.0026926600404898133]7.2139 [...]
-tree STATE_6050000 [&lnP=-22220.188854924716] = [&R] ((14:[&rate=0.0023916016378371483]90.70810934641943,(33:[&rate=0.0029202485270754877]81.85819476751884,(((((((11:[&rate=0.003384860209571966]5.204876137918633,12:[&rate=0.003146415454361108]5.204876137918633):[&rate=0.002566097528248473]19.3868259202672,(7:[&rate=0.003168352852745817]18.912974819029476,13:[&rate=0.0026629650983371043]18.912974819029476):[&rate=0.0028692059809796878]5.6787272391563555):[&rate=0.002606395810652195]5.1582 [...]
-tree STATE_6060000 [&lnP=-22215.03683188466] = [&R] ((33:[&rate=0.002925704034101118]104.29778729937621,(14:[&rate=0.002908423019810548]87.16437498611592,((((((22:[&rate=0.0026992556128225043]23.49616735511042,(24:[&rate=0.002837531378134753]13.81974326473563,(15:[&rate=0.0028734039353556983]10.14315094221078,((19:[&rate=0.0026022061281128373]4.442025325192809,20:[&rate=0.002977012004650165]4.442025325192809):[&rate=0.0026285379980224093]0.044220763286492826,21:[&rate=0.00283753137813475 [...]
-tree STATE_6070000 [&lnP=-22226.8307318717] = [&R] (9:[&rate=0.0022787056164694955]152.74793807664943,(14:[&rate=0.002328221487686696]110.9236767371143,(((((((22:[&rate=0.002415729417695587]27.756336349974763,(24:[&rate=0.0019797365932929657]15.05050354304274,(15:[&rate=0.0022497128830190997]9.213524318877024,(21:[&rate=0.0020835309007907633]3.1988408894389218,(20:[&rate=0.002958219971472942]2.5385402731626634,19:[&rate=0.00201440372351769]2.5385402731626634):[&rate=0.0025880304575463826 [...]
-tree STATE_6080000 [&lnP=-22216.90027061096] = [&R] (9:[&rate=0.0022849671706664247]172.7839360638917,((((((((22:[&rate=0.0024982607325769435]25.941338197920754,(24:[&rate=0.003153531601597807]14.363709990096497,(15:[&rate=0.0015712427607162036]12.165076041615928,(21:[&rate=0.002058848718110275]2.9758863482190083,(19:[&rate=0.002631049370410896]2.4368354325715282,20:[&rate=0.0019699154792249527]2.4368354325715282):[&rate=0.0026522635312309193]0.5390509156474801):[&rate=0.0026742656217079 [...]
-tree STATE_6090000 [&lnP=-22224.330566061388] = [&R] (9:[&rate=0.002193598628069742]143.72135520899423,(((((((((24:[&rate=0.0029930505429929233]15.158885962108645,(15:[&rate=0.0027398486133913403]12.8570448110557,(19:[&rate=0.002682410042589084]4.5377559856591025,(21:[&rate=0.003081142558893267]4.121418660280648,20:[&rate=0.0031109622131054787]4.121418660280648):[&rate=0.002759286543379622]0.41633732537845436):[&rate=0.0025101024560176964]8.319288825396598):[&rate=0.002720636353786783]2. [...]
-tree STATE_6100000 [&lnP=-22211.424586972873] = [&R] (9:[&rate=0.003220459487611983]111.27433677382705,(14:[&rate=0.003013254694306751]88.35718281314351,(33:[&rate=0.003573207396932996]76.74334507160172,(((16:[&rate=0.0029709025361096854]36.23478695603487,(((8:[&rate=0.0030565467501714925]21.237441761102573,10:[&rate=0.0029085273373263667]21.237441761102573):[&rate=0.0026556362614795453]12.848443003567176,(((11:[&rate=0.003951399870088011]4.568652873103929,12:[&rate=0.002887912138305984] [...]
-tree STATE_6110000 [&lnP=-22219.54601173748] = [&R] (9:[&rate=0.0025996894645277345]127.26079064648347,(33:[&rate=0.002587065700013735]98.8394917468782,(((((((24:[&rate=0.002894496611172763]14.862737179912479,(15:[&rate=0.0024769240045233966]11.244344799194147,(19:[&rate=0.0030165730381876616]3.6587744935070163,(21:[&rate=0.0034104955216616127]2.9073901947696292,20:[&rate=0.0029099053271698966]2.9073901947696292):[&rate=0.002894496611172763]0.7513842987373871):[&rate=0.002758901675297008 [...]
-tree STATE_6120000 [&lnP=-22208.11891681101] = [&R] (9:[&rate=0.0029205017503878923]138.34058191674154,(33:[&rate=0.0021932351927925467]103.17855276001359,(14:[&rate=0.002585950219345778]89.79005152126096,((((((22:[&rate=0.0027871981939558053]22.373372120748343,(24:[&rate=0.002713153619954344]10.451140408808419,(15:[&rate=0.0028768832933588426]9.229225219510564,(19:[&rate=0.002453262599942995]5.311215063647527,(21:[&rate=0.002660087800966533]3.887427762678023,20:[&rate=0.0028979353031291 [...]
-tree STATE_6130000 [&lnP=-22213.1370928046] = [&R] (9:[&rate=0.0028376710503828523]114.41087434886087,(14:[&rate=0.002930516324789352]79.83971463879897,(((((16:[&rate=0.002776129985712257]31.35630282576961,((8:[&rate=0.0037854918785322073]18.745243001332504,10:[&rate=0.002863676728286821]18.745243001332504):[&rate=0.003142183756646267]11.401607669095156,(((11:[&rate=0.0032122005304429345]6.031549251514027,12:[&rate=0.0030686568612251055]6.031549251514027):[&rate=0.003142183756646267]16.8 [...]
-tree STATE_6140000 [&lnP=-22216.780898475517] = [&R] (9:[&rate=0.002179039437186622]167.16704846186096,((14:[&rate=0.00229006367360993]98.75976056425064,((((16:[&rate=0.0023528464674510492]41.573669638150506,((8:[&rate=0.002253239228723489]26.156524411447943,10:[&rate=0.0024944934917950925]26.156524411447943):[&rate=0.003017617977319559]13.97859978676468,((7:[&rate=0.0021915942034675864]29.816453724422395,(13:[&rate=0.0018752195451418748]27.767261656682685,(11:[&rate=0.002478659584391166 [...]
-tree STATE_6150000 [&lnP=-22225.694326549503] = [&R] (9:[&rate=0.002780621791314275]144.00219772971923,((33:[&rate=0.0024200340218922564]91.91003832158782,14:[&rate=0.002464239881346265]91.91003832158782):[&rate=0.002806293064349396]20.24179990008696,(((((8:[&rate=0.0027024976056332865]23.411005000002188,10:[&rate=0.002806293064349396]23.411005000002188):[&rate=0.0027515592647737236]15.946328860092745,(16:[&rate=0.0024521705787904262]37.85750974699059,(((7:[&rate=0.0027433520821902517]21 [...]
-tree STATE_6160000 [&lnP=-22220.81177526964] = [&R] (9:[&rate=0.0025893958647691677]158.76950378673217,((14:[&rate=0.0025102730603720554]108.43895141622124,((((((((11:[&rate=0.0024240087753671265]6.551774216035833,12:[&rate=0.0027146822390099338]6.551774216035833):[&rate=0.0025102730603720554]22.815503771202827,(13:[&rate=0.002168361844623177]25.5304030392356,7:[&rate=0.002543647165148802]25.5304030392356):[&rate=0.0025612675284842693]3.836874948003061):[&rate=0.0023587227481515045]8.533 [...]
-tree STATE_6170000 [&lnP=-22210.815065992738] = [&R] (9:[&rate=0.0032683849742048657]102.58301489102897,((14:[&rate=0.003132317018775403]68.2438547524431,((((((22:[&rate=0.0032683849742048657]18.96814878215189,(24:[&rate=0.003574636057086441]13.585971298063521,(15:[&rate=0.003059057206843953]10.002336113814799,((21:[&rate=0.00402416252951719]2.835553246629597,20:[&rate=0.003059057206843953]2.835553246629597):[&rate=0.0031145143911279435]0.769204731231762,19:[&rate=0.003059057206843953]3. [...]
-tree STATE_6180000 [&lnP=-22219.702593090486] = [&R] (9:[&rate=0.0018716870731312904]164.28859546598062,(((((((((23:[&rate=0.001957667689477095]12.987012323161036,17:[&rate=0.0021143281698152096]12.987012323161036):[&rate=0.0018324052744085504]17.97732138302173,(24:[&rate=0.0021488880665803223]20.45997167673881,(15:[&rate=0.002057206466314758]14.036132175257846,((21:[&rate=0.00200086754612176]3.7037081236848164,20:[&rate=0.0022048945490625834]3.7037081236848164):[&rate=0.0018073371614695 [...]
-tree STATE_6190000 [&lnP=-22225.9629983004] = [&R] (9:[&rate=0.00206512695647918]159.7914207778754,(33:[&rate=0.00206512695647918]107.98657583378699,(14:[&rate=0.0028913477686835017]89.10268881127233,(((((8:[&rate=0.0025580773395900208]24.434357914612693,10:[&rate=0.0022695621006084644]24.434357914612693):[&rate=0.002459072719511582]16.021246170568727,(((23:[&rate=0.0025217562289181323]10.059030566906921,17:[&rate=0.0030066480897017753]10.059030566906921):[&rate=0.002570101354770617]14.7 [...]
-tree STATE_6200000 [&lnP=-22230.48751814539] = [&R] (9:[&rate=0.0022485531481366244]157.90298330059034,(33:[&rate=0.0018429942263309125]115.85426237854954,((((((22:[&rate=0.002217202178567826]27.92435865225193,((24:[&rate=0.0018322015750244839]17.459394507195494,(15:[&rate=0.0021644131455143996]14.576642658626492,(19:[&rate=0.0023584644179058265]4.0705567514796055,(20:[&rate=0.00214129295682242]3.4721470701430603,21:[&rate=0.0017970389610534247]3.4721470701430603):[&rate=0.00249680492174 [...]
-tree STATE_6210000 [&lnP=-22214.207240921638] = [&R] (9:[&rate=0.00227637892432645]152.89896808013765,(33:[&rate=0.0020069130086789316]109.22240338466769,((((((22:[&rate=0.0029187920765768463]24.680487080738782,((24:[&rate=0.0031948058668871816]14.727346366229193,(15:[&rate=0.0022391659370058744]11.969570694464956,(21:[&rate=0.0024488076292143663]3.965309541053056,(20:[&rate=0.0037778164602867274]1.8540868885895119,19:[&rate=0.0029392670838256467]1.8540868885895119):[&rate=0.002741922933 [...]
-tree STATE_6220000 [&lnP=-22217.70387602361] = [&R] (9:[&rate=0.002184492157673323]181.73796376233912,(14:[&rate=0.0015501204066786234]141.5579398074383,((((((((24:[&rate=0.0018789042088501228]19.27453898784807,(15:[&rate=0.0017216658876809774]13.546930930577064,((21:[&rate=0.0022982600753946964]2.9965123651937224,20:[&rate=0.0027986211211205175]2.9965123651937224):[&rate=0.0015261076999435706]1.2547883060985248,19:[&rate=0.0016334205599351152]4.251300671292247):[&rate=0.0017048875923325 [...]
-tree STATE_6230000 [&lnP=-22223.471176009385] = [&R] (9:[&rate=0.0028893886506897665]137.97477295643074,((((((((((11:[&rate=0.002356386520040013]7.5363605460212675,12:[&rate=0.001724640829463004]7.5363605460212675):[&rate=0.0019945555329569675]25.00170175449357,13:[&rate=0.0016761923942570259]32.53806230051484):[&rate=0.0021059692958552536]3.471858219546732,7:[&rate=0.0022055295652307822]36.00992052006157):[&rate=0.0018261108650383696]8.788997203537427,((8:[&rate=0.002356386520040013]27. [...]
-tree STATE_6240000 [&lnP=-22206.72455908636] = [&R] (((14:[&rate=0.0025585711657727913]83.4611568005413,((((((((((19:[&rate=0.003309352038898484]2.330802178173013,20:[&rate=0.0029159420165737584]2.330802178173013):[&rate=0.003633797745381637]1.0810377042935846,21:[&rate=0.00326215319129798]3.4118398824665976):[&rate=0.004322257251644765]5.210329745297686,15:[&rate=0.00340775272563617]8.622169627764285):[&rate=0.002668003069355509]2.5064695901512373,24:[&rate=0.0037007827337501554]11.1286 [...]
-tree STATE_6250000 [&lnP=-22219.968889498483] = [&R] (((14:[&rate=0.00221537193611638]107.46861956912063,(((((8:[&rate=0.002467919751369986]25.719787797462683,10:[&rate=0.0022992510311247182]25.719787797462683):[&rate=0.002360413107009225]21.131311921278968,(((11:[&rate=0.0023730250299030167]7.197610788809269,12:[&rate=0.002547975300979018]7.197610788809269):[&rate=0.0019670293760203823]28.4070006252845,(13:[&rate=0.0017682862838611661]29.297213476867586,7:[&rate=0.0022752971757890837]29 [...]
-tree STATE_6260000 [&lnP=-22213.3335785925] = [&R] (((14:[&rate=0.001983871150710292]124.4670607592443,((((((23:[&rate=0.0021908433783079033]11.408834276461672,17:[&rate=0.002821406780660278]11.408834276461672):[&rate=0.002178851234509864]14.042830685342935,(22:[&rate=0.002555725922506423]24.11589582507951,(((21:[&rate=0.0025021034528507637]3.9323990717439323,(20:[&rate=0.0020176078122624607]2.355505061520176,19:[&rate=0.0029704222229439826]2.355505061520176):[&rate=0.001965450985605407] [...]
-tree STATE_6270000 [&lnP=-22228.596766602957] = [&R] (((((((((7:[&rate=0.0019101050793671147]38.08857930979428,(13:[&rate=0.0017136208760136311]31.00600873643966,(11:[&rate=0.002263890760786722]9.018515763747754,12:[&rate=0.001755727240613137]9.018515763747754):[&rate=0.0019347887243448413]21.987492972691907):[&rate=0.00195744442478479]7.082570573354616):[&rate=0.0023416580656898567]9.576631377490827,((3:[&rate=0.0019101050793671147]21.203548127221858,5:[&rate=0.0019227451441778001]21.20 [...]
-tree STATE_6280000 [&lnP=-22230.739225176367] = [&R] ((((((((((11:[&rate=0.002366037541814452]6.975661080001195,12:[&rate=0.002062158442879315]6.975661080001195):[&rate=0.0021477443796138274]24.680511231629424,(13:[&rate=0.0022798080351478143]21.246829193396845,7:[&rate=0.0027819349947534053]21.246829193396845):[&rate=0.002119548096088624]10.409343118233775):[&rate=0.002529728684108564]4.920956221933217,(3:[&rate=0.002549440458214159]16.306066349169797,5:[&rate=0.0021734193446111593]16.3 [...]
-tree STATE_6290000 [&lnP=-22207.82876239225] = [&R] ((((((((23:[&rate=0.0027436397831453914]9.602938420407705,17:[&rate=0.002726206591340406]9.602938420407705):[&rate=0.0024291450471352768]11.744550978585751,((((19:[&rate=0.0028084914210470546]2.5467148242459956,(20:[&rate=0.0030974170030582614]2.3412484276862084,21:[&rate=0.0031438853427818276]2.3412484276862084):[&rate=0.0029958544440077755]0.20546639655978716):[&rate=0.0030974170030582614]8.99598699067066,15:[&rate=0.00274363978314539 [...]
-tree STATE_6300000 [&lnP=-22229.433942359436] = [&R] ((33:[&rate=0.0022660337240053316]115.47009172854955,(((((16:[&rate=0.002308879027644634]42.53924059506922,((8:[&rate=0.0024168075780202965]23.63334125184516,10:[&rate=0.0024441085369491062]23.63334125184516):[&rate=0.00218285405903274]16.81090693435896,((7:[&rate=0.0022301266377637535]32.45806361746486,(13:[&rate=0.0023424487036429863]28.394592923211064,(11:[&rate=0.0022925499681373486]7.01740859011046,12:[&rate=0.0023361888704566897] [...]
-tree STATE_6310000 [&lnP=-22213.529196980737] = [&R] ((14:[&rate=0.002175699851995552]119.21198015164886,((((((8:[&rate=0.0024365035054897694]22.287906063789418,10:[&rate=0.002600413141099494]22.287906063789418):[&rate=0.002240963188703698]19.487187370901527,(((7:[&rate=0.003037202326524365]23.031598529445223,13:[&rate=0.0020559675918064195]23.031598529445223):[&rate=0.0021566048502515045]4.526375730820465,(11:[&rate=0.002356955129355574]8.071979387365436,12:[&rate=0.0023085391531247742] [...]
-tree STATE_6320000 [&lnP=-22217.368739169913] = [&R] (((((((((23:[&rate=0.002933945756353374]11.952810454522764,17:[&rate=0.0026013662449373993]11.952810454522764):[&rate=0.0032602388273998365]9.140881031832881,(((15:[&rate=0.003174135531763762]6.331496301683273,((20:[&rate=0.0029780746834158905]3.2617831085252367,21:[&rate=0.002628330570475813]3.2617831085252367):[&rate=0.0034344854435780655]0.5819791036463458,19:[&rate=0.0026761333116554716]3.8437622121715824):[&rate=0.0027921821982799 [...]
-tree STATE_6330000 [&lnP=-22211.898920234704] = [&R] (((((((((22:[&rate=0.004109888801409916]17.871285285123157,((15:[&rate=0.0037126293243305965]9.543600996838803,((20:[&rate=0.003345312524158927]2.4579397061017776,19:[&rate=0.002890636295511501]2.4579397061017776):[&rate=0.003257981955702537]1.4796925119170332,21:[&rate=0.0034920500403426823]3.937632218018811):[&rate=0.0032792783980607728]5.605968778819992):[&rate=0.00269842402926186]3.1044543876702413,24:[&rate=0.0037523679966022703]1 [...]
-tree STATE_6340000 [&lnP=-22220.28275874653] = [&R] (((((((8:[&rate=0.0023796080951128183]25.36615596703243,10:[&rate=0.002032441815289593]25.36615596703243):[&rate=0.0023796080951128183]20.45923774103026,(((13:[&rate=0.0018640195749127651]27.782691261611163,7:[&rate=0.0022995782171487756]27.782691261611163):[&rate=0.00207583998100541]4.818201376090542,(11:[&rate=0.002199457807521225]8.956670138734058,12:[&rate=0.00207583998100541]8.956670138734058):[&rate=0.0024109135787430255]23.644222 [...]
-tree STATE_6350000 [&lnP=-22216.235402956176] = [&R] ((33:[&rate=0.0021668387118546936]106.47671682247702,(14:[&rate=0.0027174682461238117]99.32342364373476,((((((23:[&rate=0.002187070273026834]10.721995172566968,17:[&rate=0.0021249443787064704]10.721995172566968):[&rate=0.002413134023761845]13.796410451351088,(22:[&rate=0.0023761956252500516]23.901643083527212,((15:[&rate=0.00260696868840601]10.172660228321545,((19:[&rate=0.0018000676948116577]2.7179235789272,20:[&rate=0.002264709922181 [...]
-tree STATE_6360000 [&lnP=-22206.854472223276] = [&R] ((14:[&rate=0.002393697854561524]93.70272076411243,(((((((22:[&rate=0.0038936164600455346]16.004968730079646,((15:[&rate=0.0037342790930182754]5.816890734430937,((21:[&rate=0.0028836292495976823]1.7354222255544087,20:[&rate=0.003391714458831161]1.7354222255544087):[&rate=0.0028125564928423797]1.4390180730685453,19:[&rate=0.003705139751617229]3.174440298622954):[&rate=0.004046185814818559]2.6424504358079832):[&rate=0.003966183005954181] [...]
-tree STATE_6370000 [&lnP=-22213.962768484533] = [&R] ((33:[&rate=0.0022045232544235342]118.75290220542419,((((16:[&rate=0.002243636834083968]43.29690778234636,((((((15:[&rate=0.002301597633580516]10.01155493040647,(19:[&rate=0.0019889784696359237]3.8802942250555894,(21:[&rate=0.002340151092615346]3.2051485201854644,20:[&rate=0.0021443722091059715]3.2051485201854644):[&rate=0.003038156799315235]0.675145704870125):[&rate=0.0029535658370884754]6.131260705350881):[&rate=0.0023594942390603186 [...]
-tree STATE_6380000 [&lnP=-22214.761560249004] = [&R] (((14:[&rate=0.0029103366568447846]88.7708145146059,(((((((24:[&rate=0.0025170093675155438]13.858520464720936,((21:[&rate=0.0030444901277789658]3.8307323433522207,(19:[&rate=0.002638019665157453]2.019099672858592,20:[&rate=0.0029623391705360935]2.019099672858592):[&rate=0.0025170093675155438]1.8116326704936285):[&rate=0.002558358411846147]5.0740923042283015,15:[&rate=0.0028130484119759146]8.904824647580522):[&rate=0.0026058316813168695 [...]
-tree STATE_6390000 [&lnP=-22208.148117106954] = [&R] ((33:[&rate=0.0023378625377736668]109.88411509874283,((((16:[&rate=0.002737088519058361]36.45964639646225,(((8:[&rate=0.0037318607114590545]19.05055488881249,10:[&rate=0.00358505073999338]19.05055488881249):[&rate=0.003690353888990345]14.732611857517423,((3:[&rate=0.0027831617615992005]14.728429405602578,5:[&rate=0.0023378625377736668]14.728429405602578):[&rate=0.003830408207018787]14.089166259171192,((13:[&rate=0.0025617638356917384]2 [...]
-tree STATE_6400000 [&lnP=-22208.77192588535] = [&R] ((33:[&rate=0.0018786813781152337]102.19869081068553,(((((((8:[&rate=0.0033781357887386733]18.969049129602663,10:[&rate=0.0030673659970173626]18.969049129602663):[&rate=0.0034976528746343423]16.392121039906105,((3:[&rate=0.0033074462440123246]12.501983710953766,5:[&rate=0.003014093326766354]12.501983710953766):[&rate=0.0026925914754920687]18.908948210793632,((13:[&rate=0.002668126918815414]21.668700871775084,(11:[&rate=0.003828805350389 [...]
-tree STATE_6410000 [&lnP=-22228.487536434273] = [&R] (((((((16:[&rate=0.0026456067484696075]39.594095540729526,((8:[&rate=0.003035604578267989]19.928954852478636,10:[&rate=0.0026867717294655523]19.928954852478636):[&rate=0.0025988952091567166]17.578633794655847,((3:[&rate=0.0027972259456613253]15.744389862639606,5:[&rate=0.002524105528472444]15.744389862639606):[&rate=0.0028427157356886064]18.356985406587988,((13:[&rate=0.002541452166873472]24.67442524629098,7:[&rate=0.002797225945661325 [...]
-tree STATE_6420000 [&lnP=-22213.60607107689] = [&R] (((14:[&rate=0.0025332365337402325]86.91251308610927,((((16:[&rate=0.0021975306433814614]44.32110953660355,(((3:[&rate=0.0022114405368428344]14.907011657723368,5:[&rate=0.002464920745572243]14.907011657723368):[&rate=0.0021534406367488667]21.81413625960524,((13:[&rate=0.002225046383720148]23.79396780270573,7:[&rate=0.002519031020350812]23.79396780270573):[&rate=0.0021832674608098803]6.009222645983741,(11:[&rate=0.0028346771613687225]7.2 [...]
-tree STATE_6430000 [&lnP=-22208.71531195983] = [&R] (((14:[&rate=0.0027698538462978895]106.10520304266495,((((((8:[&rate=0.0026610689407252407]24.57665651260562,10:[&rate=0.0027103807676189303]24.57665651260562):[&rate=0.002543067831189624]17.03913693005516,((3:[&rate=0.0023595307670420122]16.902041051695335,5:[&rate=0.002128532603461565]16.902041051695335):[&rate=0.0024337379758826725]19.72167423752527,((13:[&rate=0.002106676216354418]25.469236256979475,7:[&rate=0.0024337379758826725]25 [...]
-tree STATE_6440000 [&lnP=-22225.152154739095] = [&R] (((((((16:[&rate=0.002737945079975086]37.02612961110775,(((13:[&rate=0.0025984146382348563]21.78330703978029,(11:[&rate=0.0026796555846590564]7.006135217383446,12:[&rate=0.0026621950370132492]7.006135217383446):[&rate=0.002576173311981449]14.777171822396845):[&rate=0.0027411725657745774]6.2122281787097755,7:[&rate=0.0026748315836661474]27.995535218490065):[&rate=0.002677255073742415]6.490101049301284,((3:[&rate=0.002684404564123517]15. [...]
-tree STATE_6450000 [&lnP=-22228.638213115446] = [&R] ((14:[&rate=0.0027773120477023534]102.01981477011135,(33:[&rate=0.002782563102622336]86.761937459721,(((((((3:[&rate=0.0025045769636301727]15.27709539487226,5:[&rate=0.0029310511714785745]15.27709539487226):[&rate=0.002834272947535355]18.386011264795414,((13:[&rate=0.0027110256142796737]21.052481437601006,7:[&rate=0.0026784254969730486]21.052481437601006):[&rate=0.002531228868695564]5.4279553229350554,(11:[&rate=0.0028100213291190907]7 [...]
-tree STATE_6460000 [&lnP=-22207.073147594427] = [&R] ((14:[&rate=0.0027325599873382063]83.37945411686155,((((((((8:[&rate=0.0034713316968727997]20.0394186871915,10:[&rate=0.0031861167262620745]20.0394186871915):[&rate=0.0038113225167565163]9.833764122017651,(3:[&rate=0.0027325599873382063]15.280557700698232,5:[&rate=0.0025473152713345955]15.280557700698232):[&rate=0.0036570700119609046]14.59262510851092):[&rate=0.0028163402967861595]3.267820551503572,((13:[&rate=0.0027325599873382063]18. [...]
-tree STATE_6470000 [&lnP=-22222.76167739849] = [&R] (9:[&rate=0.0019056445879253555]159.87755856078243,((14:[&rate=0.0022449316963383545]100.60600705110981,((((((18:[&rate=0.0023736593139964115]30.21398682547947,(26:[&rate=0.002557246388947611]19.716801812622457,25:[&rate=0.0024884510574624636]19.716801812622457):[&rate=0.0022755556156515712]10.497185012857013):[&rate=0.00232318613933866]8.390646582189238,(2:[&rate=0.00232318613933866]30.851470852281068,((1:[&rate=0.0022298738004887177]9 [...]
-tree STATE_6480000 [&lnP=-22223.543771414406] = [&R] (9:[&rate=0.0032541946769922905]115.02469307040543,((33:[&rate=0.002955351808458409]74.42833440206434,14:[&rate=0.003326202929094054]74.42833440206434):[&rate=0.002619996823971017]12.659648012592328,((((((18:[&rate=0.002551535423564537]23.875963600080365,(26:[&rate=0.003063143519030988]12.657732006445753,25:[&rate=0.003090374790816537]12.657732006445753):[&rate=0.0036611276844029567]11.218231593634611):[&rate=0.002695823600278437]5.119 [...]
-tree STATE_6490000 [&lnP=-22215.08726269819] = [&R] (9:[&rate=0.002565492602404266]139.5244719321712,(33:[&rate=0.002238273795669377]109.62165905287719,(((((((((13:[&rate=0.0022798108648927656]23.043419218551964,7:[&rate=0.002700412024021525]23.043419218551964):[&rate=0.002401127631675882]6.669998256250576,(11:[&rate=0.0034906306457213924]5.713474719038409,12:[&rate=0.0019406174160055151]5.713474719038409):[&rate=0.0025442902516870933]23.99994275576413):[&rate=0.0023408010957031793]3.818 [...]
-tree STATE_6500000 [&lnP=-22214.596998284902] = [&R] (9:[&rate=0.002710936392374192]139.5757396413583,(33:[&rate=0.002575432431989365]98.43210119822184,((((((((13:[&rate=0.0022302113941765137]22.979098060900494,7:[&rate=0.00277927426023132]22.979098060900494):[&rate=0.0024251396299551633]5.777909650269844,(11:[&rate=0.00207723124901844]7.283427343055914,12:[&rate=0.0020304165424847383]7.283427343055914):[&rate=0.002710936392374192]21.473580368114426):[&rate=0.002409139480065118]4.0538911 [...]
-tree STATE_6510000 [&lnP=-22203.906094138856] = [&R] (9:[&rate=0.002784291421857566]128.89301874629155,(33:[&rate=0.002147079867994224]105.10461544960131,(((((((18:[&rate=0.0028879539822738174]24.76705341014851,(26:[&rate=0.0028042946032534634]16.236289925967313,25:[&rate=0.002071186163413062]16.236289925967313):[&rate=0.003178871793461693]8.530763484181197):[&rate=0.003178871793461693]5.064427573375784,(2:[&rate=0.003114917236883377]25.454105872895084,((1:[&rate=0.002845304899889642]7.6 [...]
-tree STATE_6520000 [&lnP=-22215.811285664415] = [&R] (9:[&rate=0.00210555229320194]176.77051845274195,(33:[&rate=0.0017980106833917545]134.1420650604868,(14:[&rate=0.0021340907941440157]117.27492178203148,((((((18:[&rate=0.001869731706964855]35.8898467735961,(26:[&rate=0.002254588407747721]22.394396527120595,25:[&rate=0.0019178025252488294]22.394396527120595):[&rate=0.0017567015361451112]13.495450246475503):[&rate=0.002034923054973024]7.382773315465087,(2:[&rate=0.0023045220204777972]34. [...]
-tree STATE_6530000 [&lnP=-22205.227263957015] = [&R] (9:[&rate=0.0015071512018978801]189.84835520496097,(((((16:[&rate=0.001950793566129206]46.351543148022195,(((8:[&rate=0.0025360891431219948]29.448210450231528,10:[&rate=0.0019742332270865793]29.448210450231528):[&rate=0.002322915103163627]14.347045496991065,(((13:[&rate=0.0017319744331321955]28.750070298898287,(11:[&rate=0.0029784755437577645]6.412966095680069,12:[&rate=0.0027073034832415894]6.412966095680069):[&rate=0.0026761509545997 [...]
-tree STATE_6540000 [&lnP=-22223.952849623365] = [&R] (9:[&rate=0.0026321140924282236]154.44140467884907,(33:[&rate=0.0023887289756680885]104.06554201622988,(14:[&rate=0.002458688505033001]91.63948931934233,((((((18:[&rate=0.00255752700537096]30.249327932158327,(26:[&rate=0.0025221935836394725]17.497456059040537,25:[&rate=0.0024331958287014603]17.497456059040537):[&rate=0.0026499959652271535]12.75187187311779):[&rate=0.002437235546507512]5.52525340948517,(2:[&rate=0.002570964202261776]28. [...]
-tree STATE_6550000 [&lnP=-22212.077070855168] = [&R] (9:[&rate=0.003416533519387416]104.38184090026108,((14:[&rate=0.0036123811561781685]68.06557656513942,((((((18:[&rate=0.0037782081204308367]19.691288737603998,(26:[&rate=0.0035599787673940434]15.02531655077505,25:[&rate=0.003038392771597115]15.02531655077505):[&rate=0.00411377198219726]4.665972186828947):[&rate=0.0035432066841114456]5.999295441207984,(2:[&rate=0.003355389073464503]21.322236739887245,((1:[&rate=0.003494442094974159]5.98 [...]
-tree STATE_6560000 [&lnP=-22218.821973853548] = [&R] (9:[&rate=0.0019320177602560604]160.22682338187164,((((((((18:[&rate=0.0025429343234888266]30.48948798159144,(26:[&rate=0.00285958744733882]15.612754491370042,25:[&rate=0.0025832989547870475]15.612754491370042):[&rate=0.0020249827121916653]14.8767334902214):[&rate=0.0022803875806812752]7.2187407945925095,(2:[&rate=0.0020249827121916653]32.1039800309812,((1:[&rate=0.00285958744733882]7.462403674982175,6:[&rate=0.0022399835697188256]7.46 [...]
-tree STATE_6570000 [&lnP=-22220.795212489727] = [&R] (9:[&rate=0.00214252338950448]149.67327347913405,((((((((23:[&rate=0.003406858112679138]10.305826568642384,17:[&rate=0.002232916495864631]10.305826568642384):[&rate=0.0024083588343018505]13.199704243411421,((24:[&rate=0.0023057951465170314]11.23562239962026,(15:[&rate=0.002890341419274357]9.350440478316683,(19:[&rate=0.0031106437717535545]3.2548917851759027,(20:[&rate=0.002601765704871715]2.5217196495142318,21:[&rate=0.0027213983805811 [...]
-tree STATE_6580000 [&lnP=-22211.546087972685] = [&R] (9:[&rate=0.002936630897503412]132.33122365688183,(((((((((24:[&rate=0.0026604247725933337]14.527453444602692,(15:[&rate=0.0027562148422436944]12.467445721702415,(19:[&rate=0.002956158385194047]4.977472456740484,(20:[&rate=0.002783996710042556]2.292023354078479,21:[&rate=0.0027062797077973535]2.292023354078479):[&rate=0.0027062797077973535]2.6854491026620053):[&rate=0.0029271280799928684]7.489973264961931):[&rate=0.0028461062787879608] [...]
-tree STATE_6590000 [&lnP=-22231.588855228147] = [&R] (9:[&rate=0.002206444702253253]174.21352230124157,((((((((22:[&rate=0.002366788886941397]27.80537765884453,(23:[&rate=0.002258241634804534]16.629592835128513,17:[&rate=0.002380219949229707]16.629592835128513):[&rate=0.002360541765230118]11.175784823716018):[&rate=0.002201203257888776]0.8385955408797088,(24:[&rate=0.0021509127467993034]14.744082781362538,(15:[&rate=0.0023273906371211648]10.578378849122474,((19:[&rate=0.00225824163480453 [...]
-tree STATE_6600000 [&lnP=-22226.095006688047] = [&R] (9:[&rate=0.0024879011297125873]141.76669192941472,((14:[&rate=0.0026161403527189286]96.1594809441224,(((((22:[&rate=0.002475981343076142]23.739707866765546,((23:[&rate=0.0025230846501620996]11.396175108099122,17:[&rate=0.002276208275101946]11.396175108099122):[&rate=0.0023438156897381806]11.605659626800993,(24:[&rate=0.002628024327088897]13.4485027446292,(15:[&rate=0.0024517121077188148]11.789926277198157,(19:[&rate=0.0025578338552100 [...]
-tree STATE_6610000 [&lnP=-22225.38579237229] = [&R] (9:[&rate=0.0028848700014640774]128.5528158446393,(14:[&rate=0.0031486292360365063]81.25682407787767,(33:[&rate=0.003298468000281103]73.5974824411668,(((((22:[&rate=0.0031486292360365063]19.68612083041939,((23:[&rate=0.003131529646082427]8.596208417521122,17:[&rate=0.003813632784945955]8.596208417521122):[&rate=0.0031486292360365063]9.320645673300657,(24:[&rate=0.0037862663255266112]11.972859544912891,(15:[&rate=0.0036362848126808584]7. [...]
-tree STATE_6620000 [&lnP=-22223.72199897656] = [&R] (9:[&rate=0.002253488584753265]141.7937275700369,(33:[&rate=0.002620052119621975]93.9971827772839,(14:[&rate=0.0032111129424125143]88.5057095365399,(((((((3:[&rate=0.003651669548884632]14.221825744209639,5:[&rate=0.0022234190873867826]14.221825744209639):[&rate=0.0026809949897129925]15.173614199668876,((13:[&rate=0.0026403762763341702]18.28333584524622,7:[&rate=0.0035137213932266084]18.28333584524622):[&rate=0.0038592143525495405]2.1767 [...]
-tree STATE_6630000 [&lnP=-22208.846268556958] = [&R] (9:[&rate=0.003033688002675892]125.62229967393088,(((((((8:[&rate=0.003105348914882439]20.063203665951328,10:[&rate=0.002880295565022564]20.063203665951328):[&rate=0.004374729235814758]10.533787309951677,((3:[&rate=0.0033402777904474952]11.308384070652194,5:[&rate=0.0033942151509919662]11.308384070652194):[&rate=0.0027320439135469533]15.981637827322883,((13:[&rate=0.003007348510344695]18.719305983021368,7:[&rate=0.0042818139552339655]1 [...]
-tree STATE_6640000 [&lnP=-22212.46977275248] = [&R] (((14:[&rate=0.0030272323816075957]83.63463308630868,((((((23:[&rate=0.002468080613704454]9.999856045028109,17:[&rate=0.002418776468661543]9.999856045028109):[&rate=0.003343196507712845]11.717519650556968,((24:[&rate=0.0027949197367125554]12.73166875105061,(15:[&rate=0.0029958305257867302]10.112750677501015,((20:[&rate=0.002594703223094961]3.358917166637001,21:[&rate=0.0029958305257867302]3.358917166637001):[&rate=0.0033921519489330957] [...]
-tree STATE_6650000 [&lnP=-22231.484006351326] = [&R] ((33:[&rate=0.002491835101880645]109.9560442013778,(((((16:[&rate=0.0022367973140655067]40.96944402064537,(((3:[&rate=0.002412120273580695]15.024600280570848,5:[&rate=0.002272005936748336]15.024600280570848):[&rate=0.002509458062480443]19.65863291435436,((13:[&rate=0.00235125564535654]21.593708516944005,(11:[&rate=0.002429859476270468]5.838995013475698,12:[&rate=0.0025427510003672433]5.838995013475698):[&rate=0.0023317403065180103]15.7 [...]
-tree STATE_6660000 [&lnP=-22210.499520516663] = [&R] (((((((((22:[&rate=0.0027968944880215263]19.115890951624202,(24:[&rate=0.003265870602570633]11.275647683657136,(15:[&rate=0.003265870602570633]8.438017979795855,((21:[&rate=0.003467195588075032]1.9251067241562638,20:[&rate=0.003421146838056496]1.9251067241562638):[&rate=0.0028589069125875273]0.15816898249985112,19:[&rate=0.003727177441904219]2.083275706656115):[&rate=0.003206542414035269]6.35474227313974):[&rate=0.0027968944880215263]2 [...]
-tree STATE_6670000 [&lnP=-22224.609444925405] = [&R] ((33:[&rate=0.0026969551992027576]96.92662538620164,(((((((23:[&rate=0.0027617607496661922]10.559109145624344,17:[&rate=0.002683138040550732]10.559109145624344):[&rate=0.002565659246120491]11.356786238114374,((24:[&rate=0.0025355614175768533]11.006526310724059,(15:[&rate=0.002578287110885866]9.971612974164653,(19:[&rate=0.002683138040550732]4.11971802258462,(20:[&rate=0.0028346418431578527]1.896000300480172,21:[&rate=0.0026199311522738 [...]
-tree STATE_6680000 [&lnP=-22205.509751857153] = [&R] (((((((16:[&rate=0.003317129313687605]30.772451038581654,(((3:[&rate=0.0034486867934490433]11.348227377433139,5:[&rate=0.0029286573506563454]11.348227377433139):[&rate=0.0034284692805106273]15.050208020239966,((13:[&rate=0.0026478506613048843]20.103534140626763,7:[&rate=0.00395125521125781]20.103534140626763):[&rate=0.002717976282685265]2.8196568034464775,(11:[&rate=0.0030525265169153424]6.323147193429482,12:[&rate=0.003052526516915342 [...]
-tree STATE_6690000 [&lnP=-22217.136726822668] = [&R] (((((((((22:[&rate=0.0024892199780545514]23.85321069162467,(24:[&rate=0.0024731284692711135]15.204611562940775,(15:[&rate=0.0026108861303164276]10.645860469932408,((21:[&rate=0.0029998831357840646]2.309175439853359,20:[&rate=0.0030525951316037114]2.309175439853359):[&rate=0.002319743490804731]0.525883388813567,19:[&rate=0.0028465660559919854]2.835058828666926):[&rate=0.002179030695284038]7.810801641265483):[&rate=0.002574095734904557]4 [...]
-tree STATE_6700000 [&lnP=-22229.669832343327] = [&R] ((((((((((23:[&rate=0.002360160424001619]13.289687354595037,17:[&rate=0.0024408998275404306]13.289687354595037):[&rate=0.002910936769762032]8.003796853726998,(24:[&rate=0.0031018283741892356]13.273101938820117,(15:[&rate=0.0022669006766959945]11.573340825695851,((19:[&rate=0.0026639653451433157]3.584029984752035,20:[&rate=0.0032923000801926643]3.584029984752035):[&rate=0.0027939819798115926]1.843935685799417,21:[&rate=0.002023846797272 [...]
-tree STATE_6710000 [&lnP=-22233.84531943003] = [&R] (((((((16:[&rate=0.0031471499979297936]30.918118923684926,(((3:[&rate=0.0031968328626415174]11.387530946485928,5:[&rate=0.0033017313501084527]11.387530946485928):[&rate=0.0032285265193059713]16.146635209264037,((13:[&rate=0.0030948075655030595]19.41135482172118,(11:[&rate=0.0033080134435736707]3.958890584893935,12:[&rate=0.0032384134976274907]3.958890584893935):[&rate=0.0032253019513815346]15.452464236827245):[&rate=0.003331629205333901 [...]
-tree STATE_6720000 [&lnP=-22224.30140853838] = [&R] ((33:[&rate=0.002215265285120769]114.6085012576242,(14:[&rate=0.002396747105580578]101.00716931201879,((((((8:[&rate=0.002654818499774262]24.664633101828283,10:[&rate=0.002523013929342698]24.664633101828283):[&rate=0.003256058939982779]14.141343585936529,((3:[&rate=0.0030501791781601846]11.998826238585124,5:[&rate=0.0024352718820039665]11.998826238585124):[&rate=0.002328731940423889]23.76032863733466,((13:[&rate=0.001964757077467311]27. [...]
-tree STATE_6730000 [&lnP=-22218.918137061468] = [&R] ((14:[&rate=0.0018186399269309625]127.7277125712549,(((((16:[&rate=0.0022117300180522666]42.10354601158888,((((24:[&rate=0.002440484261377529]15.320829451270082,(15:[&rate=0.002298438528294232]13.883323485030232,((21:[&rate=0.0026232417510250006]2.9076264728563013,20:[&rate=0.0033007221062650916]2.9076264728563013):[&rate=0.0021035598736482966]2.2737249362930223,19:[&rate=0.0023682866401212675]5.181351409149324):[&rate=0.00306111908611 [...]
-tree STATE_6740000 [&lnP=-22227.478021478317] = [&R] (((14:[&rate=0.0023589371457890668]109.59965222702202,((((16:[&rate=0.0021783665908206187]44.71249066510735,(((3:[&rate=0.002408757195925091]16.006553942777874,5:[&rate=0.002309874550249158]16.006553942777874):[&rate=0.002316539947394264]22.962089297239576,((13:[&rate=0.0021107727307265785]25.83567322451999,7:[&rate=0.002245645471157765]25.83567322451999):[&rate=0.0022583859370450474]5.438252042762851,(11:[&rate=0.0023825298123497252]8 [...]
-tree STATE_6750000 [&lnP=-22211.85309287504] = [&R] (((14:[&rate=0.002698998722426012]80.0780016192849,(((((((3:[&rate=0.002755994134982658]14.488018474993561,5:[&rate=0.0027421040828463647]14.488018474993561):[&rate=0.0028100238013755007]16.75739642472226,((13:[&rate=0.0025201950679499775]21.23815047406928,(11:[&rate=0.002755994134982658]6.384420506497077,12:[&rate=0.003058124316532961]6.384420506497077):[&rate=0.003073935351645514]14.853729967572203):[&rate=0.002652805364717521]3.38655 [...]
-tree STATE_6760000 [&lnP=-22215.606970770805] = [&R] ((33:[&rate=0.0027864076192140328]103.75370234233046,(14:[&rate=0.00226578290003784]93.51186015730579,(((((((3:[&rate=0.0027864076192140328]16.66457455896148,5:[&rate=0.002242917319588977]16.66457455896148):[&rate=0.002763634043078513]19.25353721308414,((13:[&rate=0.0018933441435916801]21.69406979271143,7:[&rate=0.003300251242531507]21.69406979271143):[&rate=0.0025140564528125533]6.138657218572856,(11:[&rate=0.0034924960192979386]5.781 [...]
-tree STATE_6770000 [&lnP=-22219.704301475795] = [&R] ((33:[&rate=0.0020413308805839535]114.31096721369474,(14:[&rate=0.0025678011566730224]97.7139930661762,((((((8:[&rate=0.00249625268637711]23.970394109348167,10:[&rate=0.002509757114326803]23.970394109348167):[&rate=0.0029497410550512818]14.64571523894384,((3:[&rate=0.0030339959284254475]14.121271085172218,5:[&rate=0.0020788527652501106]14.121271085172218):[&rate=0.0019391012243601255]22.885549778488866,((13:[&rate=0.002327500635714954] [...]
-tree STATE_6780000 [&lnP=-22221.10155912409] = [&R] (((33:[&rate=0.002599361685332031]101.15438930216965,((((((8:[&rate=0.00253243381981472]21.076807770249086,10:[&rate=0.002647178426131385]21.076807770249086):[&rate=0.002728457431767948]14.855446884940594,((3:[&rate=0.002445706531261304]14.973693294146857,5:[&rate=0.002576588509683813]14.973693294146857):[&rate=0.002634875051702196]18.231699484117016,((13:[&rate=0.0023654079326920724]22.95973774895985,(11:[&rate=0.0026726754949941167]7. [...]
-tree STATE_6790000 [&lnP=-22214.12209010707] = [&R] (((14:[&rate=0.0030803019441145814]90.17532228174112,((((((((13:[&rate=0.0029913032898592363]18.205969942170324,7:[&rate=0.0037248668897296566]18.205969942170324):[&rate=0.0027817283554586237]5.965298893309761,(11:[&rate=0.0037248668897296566]6.3102046363202255,12:[&rate=0.0025851070057873685]6.3102046363202255):[&rate=0.002728475792743183]17.86106419915986):[&rate=0.00283589351815257]7.454737468983151,(3:[&rate=0.0024884637953754094]17 [...]
-tree STATE_6800000 [&lnP=-22227.499899070266] = [&R] ((14:[&rate=0.00205563891716927]123.04462419273634,(33:[&rate=0.0021338858452961624]107.13675209556249,((((((((13:[&rate=0.0020151043257290464]26.62619821578351,7:[&rate=0.002325639097523437]26.62619821578351):[&rate=0.00202879192429132]8.385709950078812,(11:[&rate=0.002615375274890988]6.681362198988436,12:[&rate=0.0017673996147842877]6.681362198988436):[&rate=0.001957738700449142]28.330545966873885):[&rate=0.0021338858452961624]6.3731 [...]
-tree STATE_6810000 [&lnP=-22210.994816378025] = [&R] ((33:[&rate=0.003182443844437961]83.76393352071344,(14:[&rate=0.0038044196341763506]72.21650568606478,((((((8:[&rate=0.0028960826217148726]21.49525062236965,10:[&rate=0.002559520116614856]21.49525062236965):[&rate=0.0029440016339338177]11.497061749881471,16:[&rate=0.0026908629144747533]32.99231237225112):[&rate=0.00330924161707]2.3583258686956583,(((13:[&rate=0.002532852556156831]18.46110948295273,7:[&rate=0.0030747449936829943]18.4611 [...]
-tree STATE_6820000 [&lnP=-22204.529950300468] = [&R] ((33:[&rate=0.0025365490602965984]100.72828863401782,(14:[&rate=0.0027523682321533433]81.80639939968626,((((16:[&rate=0.0028549504691216827]33.64911627961112,((8:[&rate=0.0034288313258551886]19.979765955707155,10:[&rate=0.0030635752205028736]19.979765955707155):[&rate=0.0028979702069441143]12.35212256347101,(((13:[&rate=0.0028549504691216827]18.350775615964448,7:[&rate=0.003360430036372427]18.350775615964448):[&rate=0.00282616214871719 [...]
-tree STATE_6830000 [&lnP=-22227.088402068748] = [&R] (((14:[&rate=0.0021878508905778114]119.64021293118971,((((((8:[&rate=0.002198005453973932]24.469439742117263,10:[&rate=0.0022484788120939935]24.469439742117263):[&rate=0.0024023007162153774]17.798659465181597,(((13:[&rate=0.002067363267398414]23.674566339659915,(11:[&rate=0.00228944850181543]7.612611707290711,12:[&rate=0.002102776173436364]7.612611707290711):[&rate=0.002669437160425751]16.061954632369204):[&rate=0.00205481748436467]7.7 [...]
-tree STATE_6840000 [&lnP=-22234.269386054777] = [&R] (((((((((2:[&rate=0.0018145951293633334]42.00124622833706,((1:[&rate=0.0018324850855818873]12.861437275573177,6:[&rate=0.0018643774047912183]12.861437275573177):[&rate=0.0017458831372442086]22.383636784284743,4:[&rate=0.0019818174115233704]35.24507405985792):[&rate=0.0018891060886291344]6.756172168479139):[&rate=0.0020217353294946267]4.594826719507083,(18:[&rate=0.001892135703455733]39.737291181107096,(26:[&rate=0.0018475835550508903]2 [...]
-tree STATE_6850000 [&lnP=-22215.249236920095] = [&R] (((((((((2:[&rate=0.0022384062072094294]29.447523245570228,((1:[&rate=0.0032119153383290576]6.989911953494713,6:[&rate=0.0027688420469130144]6.989911953494713):[&rate=0.002551144285790268]16.995459954057857,4:[&rate=0.002947062016504614]23.98537190755257):[&rate=0.002551144285790268]5.462151338017659):[&rate=0.002358445251757578]4.876461753959301,(18:[&rate=0.003035118867946686]22.893328489283896,(26:[&rate=0.002835482112548417]14.5140 [...]
-tree STATE_6860000 [&lnP=-22218.049992852273] = [&R] (((14:[&rate=0.0023491507448423427]96.82478314178262,((((((8:[&rate=0.0018574812930121142]30.779244480961513,10:[&rate=0.00178715890929448]30.779244480961513):[&rate=0.0021583191294975014]12.95637610654487,(((13:[&rate=0.002149833670799712]27.784288345021206,(11:[&rate=0.0024544302173653805]6.9788639158988754,12:[&rate=0.002192397953779178]6.9788639158988754):[&rate=0.002149833670799712]20.805424429122333):[&rate=0.002192397953779178]4 [...]
-tree STATE_6870000 [&lnP=-22212.165477866987] = [&R] (((((((((23:[&rate=0.003273671402941666]8.38728077809361,17:[&rate=0.003046968539775704]8.38728077809361):[&rate=0.0024196076078637843]12.167888732042234,(((15:[&rate=0.002707082593755465]9.040485216316823,(19:[&rate=0.002462936409207886]3.3690149471078823,(20:[&rate=0.00272467707843029]2.559219123874824,21:[&rate=0.0026096630827967086]2.559219123874824):[&rate=0.0021898518168016216]0.8097958232330584):[&rate=0.0024485422473998174]5.67 [...]
-tree STATE_6880000 [&lnP=-22220.906810081706] = [&R] ((((((16:[&rate=0.002077448923924779]51.241413452170015,(((8:[&rate=0.002132213841198855]31.211925912026256,10:[&rate=0.0019701972114013248]31.211925912026256):[&rate=0.0018094544055295395]16.853118995453453,(((13:[&rate=0.0017530241969066984]26.954315103563783,7:[&rate=0.002369101809975571]26.954315103563783):[&rate=0.0020308266383388313]7.680393430312588,(11:[&rate=0.0023531798081265266]8.942775572029069,12:[&rate=0.00163107403024461 [...]
-tree STATE_6890000 [&lnP=-22214.21828200616] = [&R] (((14:[&rate=0.0032752572224504415]76.7200970773131,((((((23:[&rate=0.003205482948636144]8.39558503807431,17:[&rate=0.0027839906237247295]8.39558503807431):[&rate=0.0022619383674947536]15.488623433821408,((((21:[&rate=0.002568554593752571]4.290543874586888,(20:[&rate=0.0027839906237247295]1.4384097374750275,19:[&rate=0.0031026289964966366]1.4384097374750275):[&rate=0.0029569452932013]2.85213413711186):[&rate=0.003679763404011603]6.27221 [...]
-tree STATE_6900000 [&lnP=-22216.30891167208] = [&R] (((14:[&rate=0.0026586357086289566]93.4109217335714,((((((22:[&rate=0.002809590012130192]20.632619027064983,((((21:[&rate=0.002809590012130192]2.7918970411416493,20:[&rate=0.002148481518480303]2.7918970411416493):[&rate=0.002209235037595581]0.9513942768640891,19:[&rate=0.002209235037595581]3.7432913180057383):[&rate=0.0022947863018978614]6.137615744910951,15:[&rate=0.0027267791533621476]9.88090706291669):[&rate=0.0020439600871988116]3.1 [...]
-tree STATE_6910000 [&lnP=-22218.21941231467] = [&R] (((((((((22:[&rate=0.0030632270401915254]22.048334724683944,(((19:[&rate=0.0022422444074550307]3.9007901235448275,(20:[&rate=0.0027834186929877386]2.884172170719688,21:[&rate=0.0021283589311895065]2.884172170719688):[&rate=0.002734040823740236]1.0166179528251393):[&rate=0.0024620569895252315]3.9960265793175136,15:[&rate=0.0028181545566466]7.896816702862341):[&rate=0.002217733237539108]3.422938727706298,24:[&rate=0.0031666681337148097]11 [...]
-tree STATE_6920000 [&lnP=-22210.255653046002] = [&R] (((14:[&rate=0.0030388507381922795]75.25805176360089,((((((22:[&rate=0.0034568461258155684]18.928555045798927,(((21:[&rate=0.0036688440561053327]3.5028137602537597,(20:[&rate=0.0031666143529865305]2.873957277750342,19:[&rate=0.0029942267853666615]2.873957277750342):[&rate=0.0030677208682994518]0.6288564825034175):[&rate=0.002596615526513462]7.204741786045414,15:[&rate=0.0034176467159672975]10.707555546299174):[&rate=0.00398005969801960 [...]
-tree STATE_6930000 [&lnP=-22217.271366139616] = [&R] ((14:[&rate=0.002409390547196465]107.33136225502743,((((((22:[&rate=0.0025732729202493114]26.71510345791263,((23:[&rate=0.001808237589966087]12.12351079299511,17:[&rate=0.002543726905579892]12.12351079299511):[&rate=0.002928157002838371]11.66540269191512,(((19:[&rate=0.002696410441424665]4.019353664483882,(21:[&rate=0.002904423443884576]1.8600218373658202,20:[&rate=0.002696410441424665]1.8600218373658202):[&rate=0.002255118673270527]2. [...]
-tree STATE_6940000 [&lnP=-22219.513660713714] = [&R] ((14:[&rate=0.003854245297574927]75.1914599843656,((((((22:[&rate=0.003444623828702662]19.93083304507258,((23:[&rate=0.0033590400157378496]7.144706959726171,17:[&rate=0.004182344772075537]7.144706959726171):[&rate=0.003600030260692217]9.782087389353826,((15:[&rate=0.0032806742213583612]6.979628513094216,((19:[&rate=0.003708609090028083]1.7574245942759787,20:[&rate=0.003690896792878838]1.7574245942759787):[&rate=0.003762879968277621]0.1 [...]
-tree STATE_6950000 [&lnP=-22211.82679129327] = [&R] ((33:[&rate=0.0016206283103974448]130.0714686470447,(14:[&rate=0.0024208600275995693]109.56223455067229,(((((8:[&rate=0.0025147153471475362]27.653360702842075,10:[&rate=0.0021518868681053216]27.653360702842075):[&rate=0.0027748972839302948]15.581459171452696,((3:[&rate=0.002931429246726483]15.906341241070253,5:[&rate=0.0022100251876963867]15.906341241070253):[&rate=0.0022935653904569975]21.95262889676713,((13:[&rate=0.002055029404704284 [...]
-tree STATE_6960000 [&lnP=-22214.222294933705] = [&R] ((33:[&rate=0.0027275604739001175]93.21596880422896,(14:[&rate=0.002784780779335247]84.66605815179398,((((16:[&rate=0.002883603376874002]38.49812779786875,(((3:[&rate=0.0030750861476604584]14.767545470160824,5:[&rate=0.002469092644073736]14.767545470160824):[&rate=0.0025852042797222356]18.569080081572224,((13:[&rate=0.002331225723136213]20.609421832641317,(11:[&rate=0.0031520019516080434]6.329904867435438,12:[&rate=0.002769999961483253 [...]
-tree STATE_6970000 [&lnP=-22218.28748456082] = [&R] ((33:[&rate=0.0018947322936302964]116.2414559454746,(14:[&rate=0.0021744525446268535]104.37577576128547,((((16:[&rate=0.0017677304504016163]47.55009670690651,((8:[&rate=0.002386193313252708]28.732587467690443,10:[&rate=0.0021016671638842462]28.732587467690443):[&rate=0.0017677304504016163]16.833015215999694,((3:[&rate=0.002211254795582055]18.126733028638736,5:[&rate=0.0018690426897286661]18.126733028638736):[&rate=0.0022758783041121012] [...]
-tree STATE_6980000 [&lnP=-22210.126566123963] = [&R] ((14:[&rate=0.0030530987731592018]87.83052256563171,(33:[&rate=0.0034330315823694678]79.64279788001272,((((((23:[&rate=0.003000106215844482]9.775188335641909,17:[&rate=0.003070794415832624]9.775188335641909):[&rate=0.003408286652814674]11.589905098537924,(22:[&rate=0.0029645750475029518]18.878945058202714,(24:[&rate=0.0036485424745659432]11.615157833236541,(15:[&rate=0.0036111484387085484]8.62522146479962,(21:[&rate=0.00281498285502018 [...]
-tree STATE_6990000 [&lnP=-22205.36970075579] = [&R] ((33:[&rate=0.0027993831784864425]85.61337785206756,(14:[&rate=0.003291165084339844]77.33957986585018,((((((23:[&rate=0.0025827888125862846]12.05400394731769,17:[&rate=0.0026403442275562093]12.05400394731769):[&rate=0.0025827888125862846]9.200592175426982,(22:[&rate=0.003126968393899947]19.541538161759096,(24:[&rate=0.004092235079172441]11.522479065387106,(15:[&rate=0.0029995222216210237]9.739607488117723,(19:[&rate=0.002552659167272867 [...]
-tree STATE_7000000 [&lnP=-22223.818686320785] = [&R] (((14:[&rate=0.0036054766186162414]61.862653643700526,((((((23:[&rate=0.003516386691865055]8.324521094623293,17:[&rate=0.00357537207421498]8.324521094623293):[&rate=0.0035418291540516675]8.216923587317002,(22:[&rate=0.00362706166743737]16.197507546958352,(((19:[&rate=0.003567051225087781]2.5549912212126933,(20:[&rate=0.0035691483258611925]1.4520921614451723,21:[&rate=0.003486884523713149]1.4520921614451723):[&rate=0.0036461216352274067 [...]
-tree STATE_7010000 [&lnP=-22205.19695074221] = [&R] ((14:[&rate=0.0026336644283843054]94.98523610757111,(33:[&rate=0.0028507638638304153]87.74449737578621,((((((((((19:[&rate=0.0022830516965160167]3.097714965347918,20:[&rate=0.0031160977266822733]3.097714965347918):[&rate=0.002579832127246394]0.8300169226639209,21:[&rate=0.0021886323167811202]3.927731888011839):[&rate=0.0026869007687359077]7.9088289775436005,15:[&rate=0.002404318552698232]11.83656086555544):[&rate=0.0026514361600237534]0 [...]
-tree STATE_7020000 [&lnP=-22219.81430862965] = [&R] ((33:[&rate=0.0024041343713581405]115.88427539408576,(((((((23:[&rate=0.002020541441348714]10.684942867231854,17:[&rate=0.0021695185242349324]10.684942867231854):[&rate=0.0023400175119088085]12.461782919114018,(22:[&rate=0.0025801255406489097]23.065600593963094,(((19:[&rate=0.0025104028396283422]3.875265792100284,(21:[&rate=0.00276972118021453]2.2812989707577986,20:[&rate=0.0026771060033338456]2.2812989707577986):[&rate=0.00242508641414 [...]
-tree STATE_7030000 [&lnP=-22225.47098089026] = [&R] (((14:[&rate=0.0027829342172590076]79.36977093570981,((((((8:[&rate=0.002922114875210498]19.070740853891508,10:[&rate=0.0029916034877587715]19.070740853891508):[&rate=0.0032737232062577185]12.148264202800416,16:[&rate=0.002761946910855851]31.219005056691923):[&rate=0.002717695753117596]1.3985161455148223,((3:[&rate=0.0028312976752481187]13.700136831895133,5:[&rate=0.00289741209861553]13.700136831895133):[&rate=0.0030038495475986924]17.6 [...]
-tree STATE_7040000 [&lnP=-22208.09533947364] = [&R] (((14:[&rate=0.0024848409746099287]106.4418972846746,(((((((3:[&rate=0.0024522221398757854]18.63670608301717,5:[&rate=0.0018364509042418959]18.63670608301717):[&rate=0.0026912302903919446]16.891443286904238,((13:[&rate=0.0029275903571086854]19.806419249429457,7:[&rate=0.0034780253565032007]19.806419249429457):[&rate=0.0026912302903919446]4.859576285569073,(11:[&rate=0.003406844153129286]6.073247838247763,12:[&rate=0.0029275903571086854] [...]
-tree STATE_7050000 [&lnP=-22217.79256444772] = [&R] ((33:[&rate=0.0022372536790036734]113.96854410798987,(14:[&rate=0.002524222433128187]91.67479260418466,((((16:[&rate=0.002439304460825502]33.10627762914235,((8:[&rate=0.002957223230362092]21.369021916196314,10:[&rate=0.002524222433128187]21.369021916196314):[&rate=0.003626276465024668]10.85233317983376,((3:[&rate=0.003492859203642432]11.902540917222993,5:[&rate=0.0024611053167491927]11.902540917222993):[&rate=0.0027240476712948386]19.47 [...]
-tree STATE_7060000 [&lnP=-22212.345764702695] = [&R] (((((((((8:[&rate=0.0031019369410832847]19.434362830465265,10:[&rate=0.0033919962337465026]19.434362830465265):[&rate=0.00320785483803277]10.736680756578181,(((13:[&rate=0.002680989911139536]16.614291774971022,7:[&rate=0.003538257927064598]16.614291774971022):[&rate=0.002448137983341035]6.139802739411053,(11:[&rate=0.003279764978402748]6.556665132596384,12:[&rate=0.002792495073442495]6.556665132596384):[&rate=0.002477109648143715]16.19 [...]
-tree STATE_7070000 [&lnP=-22208.401183418217] = [&R] ((((((((((23:[&rate=0.002955594118488493]9.190019066422291,17:[&rate=0.0030687046087517393]9.190019066422291):[&rate=0.003440248262589992]10.608565503393148,((((21:[&rate=0.004120281044217704]2.039935778837908,(19:[&rate=0.0032539760526083057]1.6551357165148763,20:[&rate=0.004542316314280205]1.6551357165148763):[&rate=0.004274980376629689]0.3848000623230319):[&rate=0.0031729743531790505]4.59719234508375,15:[&rate=0.002955594118488493]6 [...]
-tree STATE_7080000 [&lnP=-22221.699474288027] = [&R] ((((((((22:[&rate=0.0026780378832071392]24.80994763272519,((23:[&rate=0.0026332603097162332]9.5300467626085,17:[&rate=0.002582912538958302]9.5300467626085):[&rate=0.0026009063844483335]13.922995238499915,(((21:[&rate=0.0027133112071850525]4.622012191295159,(19:[&rate=0.0028845903577256714]4.1061602628517635,20:[&rate=0.002569807396273365]4.1061602628517635):[&rate=0.002562805621709993]0.5158519284433956):[&rate=0.0025392383475860013]8. [...]
-tree STATE_7090000 [&lnP=-22222.879466833154] = [&R] (9:[&rate=0.0038430322914959777]97.52390796931941,(14:[&rate=0.0034039555666404847]94.95512103401548,(33:[&rate=0.002961233812558487]90.02207541170183,((((((8:[&rate=0.0032714761038080235]23.665311314150394,10:[&rate=0.0032088839751741247]23.665311314150394):[&rate=0.003894137410063396]6.551347967792903,(((13:[&rate=0.003098955602515057]19.00590660137067,7:[&rate=0.0037990298287269627]19.00590660137067):[&rate=0.003098955602515057]4.65 [...]
-tree STATE_7100000 [&lnP=-22219.32627876679] = [&R] (9:[&rate=0.0028658892421702742]130.87958372422182,(14:[&rate=0.0024941525447422248]108.72038814060956,(33:[&rate=0.003131458160612651]93.53036378893299,(((((((23:[&rate=0.0028658892421702742]9.239071775204398,17:[&rate=0.003131458160612651]9.239071775204398):[&rate=0.0019191003612114904]15.152790072554073,(22:[&rate=0.0026936941185367437]21.9346356611005,((((19:[&rate=0.003131458160612651]2.673742987948202,20:[&rate=0.00387725890319409 [...]
-tree STATE_7110000 [&lnP=-22210.02831752852] = [&R] (9:[&rate=0.0029006607738201557]113.58634549062309,(33:[&rate=0.002536354505803596]102.77853956525033,(((((((22:[&rate=0.003049020453656319]20.215323261034147,((((21:[&rate=0.0022520981410974203]4.569057206015064,20:[&rate=0.002922913423496011]4.569057206015064):[&rate=0.002338300242503798]0.740699651036608,19:[&rate=0.0022750045040361667]5.3097568570516716):[&rate=0.0031433434668928567]4.408423285944962,15:[&rate=0.003179873004900906]9 [...]
-tree STATE_7120000 [&lnP=-22214.645793423697] = [&R] (9:[&rate=0.0026582159687590806]136.63908949989883,(33:[&rate=0.0025616236514542892]105.21584980653316,((((((((13:[&rate=0.003073755732979303]20.534562039112153,(11:[&rate=0.003549641660802306]3.98428386263976,12:[&rate=0.003464424881695038]3.98428386263976):[&rate=0.0031070568595498588]16.550278176472393):[&rate=0.0027755180139637523]4.393213090103782,7:[&rate=0.002787706496439541]24.927775129215934):[&rate=0.0027632340133404813]4.757 [...]
-tree STATE_7130000 [&lnP=-22227.311256272253] = [&R] (9:[&rate=0.0019857763469333066]165.79380748396554,((33:[&rate=0.0024767638196044094]102.65135525656238,(((((((((21:[&rate=0.002622461828136071]2.4659266690904422,20:[&rate=0.002184358328484293]2.4659266690904422):[&rate=0.0022350398805909017]1.3271281201076315,19:[&rate=0.0025691555759916633]3.7930547891980737):[&rate=0.0025496042560779215]5.68969897906006,(24:[&rate=0.00224927578433012]8.861005565823868,15:[&rate=0.002512401193828005 [...]
-tree STATE_7140000 [&lnP=-22230.47022573118] = [&R] (9:[&rate=0.0028013647224008923]134.2275588520166,(((((((22:[&rate=0.0026992892966952236]21.346168064237585,(24:[&rate=0.0028411715375813752]14.795470734991515,((19:[&rate=0.002891434045445182]2.9976812192646833,(20:[&rate=0.002765636793146754]2.0356700084654724,21:[&rate=0.0027118133055074093]2.0356700084654724):[&rate=0.0028386012234675904]0.9620112107992109):[&rate=0.0029149753935644456]6.367398677017285,15:[&rate=0.00282179217660738 [...]
-tree STATE_7150000 [&lnP=-22219.294790617183] = [&R] (9:[&rate=0.0028656238200533255]133.0942247400168,(14:[&rate=0.003099710505017088]85.95366720640165,((((((((24:[&rate=0.003372348362565885]12.971508958236429,(((19:[&rate=0.003248662319883961]2.324365396812511,20:[&rate=0.0031926224168847264]2.324365396812511):[&rate=0.0029233356818544934]1.5852141968876596,21:[&rate=0.0027649809157639232]3.9095795937001707):[&rate=0.0030382001801374505]6.651476710813821,15:[&rate=0.002735835728725907] [...]
-tree STATE_7160000 [&lnP=-22226.217000635595] = [&R] (9:[&rate=0.0017666088928056005]171.87815968980414,(33:[&rate=0.002541305823979291]106.3871431481683,(14:[&rate=0.002500027659538563]104.90273552144939,((((((3:[&rate=0.002428590429326839]20.064865419440046,5:[&rate=0.0018748810246359442]20.064865419440046):[&rate=0.0026754463935741795]17.877510526560272,((13:[&rate=0.002067827553030829]22.140514132382318,7:[&rate=0.0029663902227009082]22.140514132382318):[&rate=0.002428590429326839]8. [...]
-tree STATE_7170000 [&lnP=-22203.985055446046] = [&R] (9:[&rate=0.002772996333345848]126.22718096909712,((14:[&rate=0.002982793423780992]81.20555483224368,((((((2:[&rate=0.003192837842997058]24.663078886234903,((1:[&rate=0.002567957126323204]7.497599893367305,6:[&rate=0.0025300751951750694]7.497599893367305):[&rate=0.002982793423780992]12.626769637919498,4:[&rate=0.0034125463820978376]20.124369531286803):[&rate=0.003050664980114387]4.5387093549481):[&rate=0.0028751082750589725]2.800994263 [...]
-tree STATE_7180000 [&lnP=-22222.050846450933] = [&R] (9:[&rate=0.0024023500887330627]140.18948316484645,((33:[&rate=0.0027371406023904343]89.46517812229652,((((((8:[&rate=0.002359906428506928]23.993828178376784,10:[&rate=0.0021850256470620135]23.993828178376784):[&rate=0.0020367590281652904]17.576950033634628,((3:[&rate=0.0021738191260360184]17.68235156025111,5:[&rate=0.0022382494547685213]17.68235156025111):[&rate=0.002676816750996365]16.05106221833964,((13:[&rate=0.0020179607440839464] [...]
-tree STATE_7190000 [&lnP=-22210.646861598747] = [&R] (9:[&rate=0.0026088097749266403]135.94044050995714,((14:[&rate=0.0034080560892327133]69.67317890031558,((((16:[&rate=0.0027390300286705377]32.40381128655881,(((2:[&rate=0.0032777974793244445]22.250502670610622,((1:[&rate=0.00334172379029637]6.437143603892914,6:[&rate=0.002978259500282689]6.437143603892914):[&rate=0.0034080560892327133]10.200099277332253,4:[&rate=0.004861311262510347]16.637242881225166):[&rate=0.003185322924203]5.613259 [...]
-tree STATE_7200000 [&lnP=-22200.450901100932] = [&R] (9:[&rate=0.003610332089154842]99.21809729377125,(33:[&rate=0.0032543349164828998]66.88475502495844,(14:[&rate=0.004315274148160484]56.99424644782931,((((16:[&rate=0.0034486503817373576]24.79168690824128,((8:[&rate=0.00415546769145784]13.768575008306252,10:[&rate=0.004255001815811407]13.768575008306252):[&rate=0.003661597338262907]9.865814292757408,((3:[&rate=0.003423631751634195]11.289675348923652,5:[&rate=0.0034486503817373576]11.289 [...]
-tree STATE_7210000 [&lnP=-22220.37523917688] = [&R] (9:[&rate=0.002477380380936618]156.77208961013477,(33:[&rate=0.002036917332698141]121.06164473464318,(14:[&rate=0.0025932188318397806]90.80204230575227,((((((2:[&rate=0.002344003312820286]29.420439766848304,((1:[&rate=0.002501698323336892]8.086708411808127,6:[&rate=0.002313321505974398]8.086708411808127):[&rate=0.0024485736837831238]16.60429734937788,4:[&rate=0.002659496333455336]24.69100576118601):[&rate=0.0026323686350912755]4.7294340 [...]
-tree STATE_7220000 [&lnP=-22224.05671806263] = [&R] (9:[&rate=0.002363894523110553]145.71850487885715,(33:[&rate=0.002290771998050842]119.06806012466858,(((((((2:[&rate=0.002569098859842164]27.54855503186801,((1:[&rate=0.0031126825382614596]8.004678316517529,6:[&rate=0.002656276495402983]8.004678316517529):[&rate=0.0025380594605395124]15.165746213166775,4:[&rate=0.00301219219251734]23.170424529684304):[&rate=0.00233217959755479]4.378130502183705):[&rate=0.002569098859842164]5.52501707298 [...]
-tree STATE_7230000 [&lnP=-22216.92358718602] = [&R] (9:[&rate=0.0026849933211148228]131.45143679192165,(14:[&rate=0.002400655443964099]104.8637338455789,(((((((2:[&rate=0.00283784178454507]26.36179381811877,((1:[&rate=0.0029043986597047087]6.7528145453541555,6:[&rate=0.0026907722373130153]6.7528145453541555):[&rate=0.002537724482492411]16.19006700831236,4:[&rate=0.0027893059051657468]22.942881553666517):[&rate=0.002882088597114936]3.4189122644522527):[&rate=0.002783056411515691]5.0844658 [...]
-tree STATE_7240000 [&lnP=-22204.147767503946] = [&R] (9:[&rate=0.002795053100627699]152.1879732398292,(33:[&rate=0.0021695691909566503]112.94836488191538,((((((((13:[&rate=0.002266692916894983]23.708745367707056,(11:[&rate=0.0030603491009905835]7.233743935027799,12:[&rate=0.0021695691909566503]7.233743935027799):[&rate=0.002413195981743578]16.475001432679257):[&rate=0.0027214615192713482]4.0588157388360315,7:[&rate=0.002968801881524383]27.767561106543088):[&rate=0.002337168849737956]7.02 [...]
-tree STATE_7250000 [&lnP=-22210.588214237785] = [&R] (9:[&rate=0.0038204856913023823]104.42999621020945,((14:[&rate=0.0032681684857206552]77.01745278341156,((((((2:[&rate=0.0028344721959491967]25.698046872943795,((1:[&rate=0.004029705177844299]4.715165209755002,6:[&rate=0.0034835941714807467]4.715165209755002):[&rate=0.0028344721959491967]16.624806493287096,4:[&rate=0.0031337333564587858]21.3399717030421):[&rate=0.003538174279593411]4.358075169901696):[&rate=0.0034317863434407164]2.82469 [...]
-tree STATE_7260000 [&lnP=-22218.698884970043] = [&R] (9:[&rate=0.0026141700774097356]123.64974609327014,((14:[&rate=0.0038353530614487156]67.23373145785585,((((((2:[&rate=0.00269779617848742]24.23954499245803,((1:[&rate=0.0033130120925564744]6.5349150937224145,6:[&rate=0.0022248609424823417]6.5349150937224145):[&rate=0.002876625826861566]13.497418108169786,4:[&rate=0.002992605318694927]20.0323332018922):[&rate=0.0031954683888960594]4.207211790565829):[&rate=0.0025631268234269705]3.176767 [...]
-tree STATE_7270000 [&lnP=-22222.146231940806] = [&R] (9:[&rate=0.0018289965906926181]183.42139734531008,((14:[&rate=0.0026332191767265366]104.02218611233941,((((((2:[&rate=0.0023296813621710368]33.463219517861674,((1:[&rate=0.002479942638016759]6.233899293106413,6:[&rate=0.002751808230121086]6.233899293106413):[&rate=0.0021707307768014067]20.506270227202172,4:[&rate=0.0025261271055642964]26.740169520308584):[&rate=0.0021847046482286418]6.72304999755309):[&rate=0.0017712571189950352]4.623 [...]
-tree STATE_7280000 [&lnP=-22229.98745818699] = [&R] (9:[&rate=0.0021086156503419998]141.97218684482144,(33:[&rate=0.002121336269490722]108.71819690395948,(((((((2:[&rate=0.002315895161065758]30.085165235472445,((1:[&rate=0.002561375393565455]8.361147989253828,6:[&rate=0.0018175756094847256]8.361147989253828):[&rate=0.0020956802804221295]16.738672576774604,4:[&rate=0.0025828737137291724]25.099820566028434):[&rate=0.0018175756094847256]4.985344669444011):[&rate=0.0025221072880465562]6.9064 [...]
-tree STATE_7290000 [&lnP=-22224.153144133208] = [&R] (9:[&rate=0.002106292780433681]190.05922202640696,(((((16:[&rate=0.0021441173414193096]46.79102129388278,((((13:[&rate=0.0019420882656558467]32.629757336459434,(11:[&rate=0.0018041465718276215]10.65893951339255,12:[&rate=0.0020068422845712637]10.65893951339255):[&rate=0.0018220459549941022]21.970817823066884):[&rate=0.0021830763092520805]4.368982492156292,7:[&rate=0.002081432024193947]36.998739828615726):[&rate=0.0021699269853368967]7. [...]
-tree STATE_7300000 [&lnP=-22231.167182563604] = [&R] (9:[&rate=0.0027142066361006386]144.22596120314523,(14:[&rate=0.00261864501945534]106.04510677655064,(((((16:[&rate=0.00261864501945534]37.930899804756585,((8:[&rate=0.0028114692373449367]21.522227306512935,10:[&rate=0.0027443751403641776]21.522227306512935):[&rate=0.002724800951265005]13.05179597687447,(((13:[&rate=0.0027333160323783786]23.41484871183973,(11:[&rate=0.0027398686269168274]6.4306497131853115,12:[&rate=0.00261864501945534 [...]
-tree STATE_7310000 [&lnP=-22221.584561115622] = [&R] (9:[&rate=0.002533608645503188]138.6948222516638,(((((16:[&rate=0.0024252124511981656]39.10314759243739,((((13:[&rate=0.002901466556909466]21.13327689299237,7:[&rate=0.0030504118167449575]21.13327689299237):[&rate=0.002668552424319821]5.809311566936337,(11:[&rate=0.0023435825565073076]7.027917609016142,12:[&rate=0.0022709642262911285]7.027917609016142):[&rate=0.0020254612418479675]19.914670850912565):[&rate=0.0024520142232016037]4.6767 [...]
-tree STATE_7320000 [&lnP=-22220.941448933776] = [&R] (9:[&rate=0.002632826315018469]152.71265553983812,((((((((2:[&rate=0.0027581198374227595]27.834610639175715,((1:[&rate=0.0028883959889405546]9.80655091524029,6:[&rate=0.0025105255358261035]9.80655091524029):[&rate=0.0027494492097788186]11.496071256166541,4:[&rate=0.0030665624149296645]21.30262217140683):[&rate=0.0028178439894156774]6.531988467768883):[&rate=0.0026086215038848104]2.714290770811264,(18:[&rate=0.0027581198374227595]24.367 [...]
-tree STATE_7330000 [&lnP=-22218.2301431782] = [&R] (9:[&rate=0.0025777762840370404]134.2154204655952,((14:[&rate=0.0026973822946116492]95.43362890568325,33:[&rate=0.0026830094339600364]95.43362890568325):[&rate=0.0022223240803790094]7.869621265648561,((((((2:[&rate=0.0024121827431245932]30.641574050197974,((1:[&rate=0.0029154757660891486]6.723709317809819,6:[&rate=0.0026320628749844427]6.723709317809819):[&rate=0.002064963511535108]18.546327059790677,4:[&rate=0.002252377274476051]25.2700 [...]
-tree STATE_7340000 [&lnP=-22217.740057158608] = [&R] (9:[&rate=0.002348681827533269]147.86103812489034,((14:[&rate=0.0030333657057817487]84.88573746814008,((((((2:[&rate=0.0029445320971317242]25.96433778493538,((1:[&rate=0.0026086040412039136]7.123758376347785,6:[&rate=0.003275541635289564]7.123758376347785):[&rate=0.0029734653212244097]15.778730125822685,4:[&rate=0.003327451968785405]22.90248850217047):[&rate=0.003081006436737652]3.0618492827649106):[&rate=0.003168918958184751]4.3365890 [...]
-tree STATE_7350000 [&lnP=-22201.438862797582] = [&R] (9:[&rate=0.003245406058816974]119.04726165314163,((((((((2:[&rate=0.0030571079374304595]22.149221164957027,((1:[&rate=0.0037706982567453275]6.826314508063137,6:[&rate=0.0028819490423273543]6.826314508063137):[&rate=0.0025466883655208025]11.909433017019975,4:[&rate=0.0042269825547854144]18.735747525083113):[&rate=0.0033411915679329297]3.4134736398739136):[&rate=0.004090463937482625]2.8107611334245526,(18:[&rate=0.0034940540286987963]21 [...]
-tree STATE_7360000 [&lnP=-22216.425626563203] = [&R] (9:[&rate=0.002297317326402943]155.48197175053315,((33:[&rate=0.0021654905237970556]114.49826918109487,((((((2:[&rate=0.002135612529225361]32.83184512612342,((1:[&rate=0.0025020998565628283]9.70380841142026,6:[&rate=0.0022722872580075676]9.70380841142026):[&rate=0.0023344445187770324]15.1973612514411,4:[&rate=0.002895665510368446]24.90116966286136):[&rate=0.0018228108269674663]7.930675463262059):[&rate=0.0030094494063271403]4.798613565 [...]
-tree STATE_7370000 [&lnP=-22228.023588418546] = [&R] (9:[&rate=0.0021374036443530414]174.67575345496556,((14:[&rate=0.002364716091326192]111.90189170323801,(((((((3:[&rate=0.002063411881412475]19.465268573523343,5:[&rate=0.00256892024144871]19.465268573523343):[&rate=0.0020782105060071954]24.573554162486143,((13:[&rate=0.00222876324829806]29.05899497497662,(11:[&rate=0.0017490567861464773]8.59781428474198,12:[&rate=0.001772786817109179]8.59781428474198):[&rate=0.0023108661402486737]20.46 [...]
-tree STATE_7380000 [&lnP=-22204.28714765877] = [&R] (9:[&rate=0.003731387958086715]113.34865364937252,((14:[&rate=0.004225066116974973]67.06648997435427,((((((((13:[&rate=0.002820767749251744]17.85849999246326,7:[&rate=0.004109395688722601]17.85849999246326):[&rate=0.003118867241113258]3.2701926634268084,(11:[&rate=0.004288037271620322]4.0742324936728815,12:[&rate=0.004321210385363696]4.0742324936728815):[&rate=0.0030652336400959494]17.054460162217186):[&rate=0.004109395688722601]4.16789 [...]
-tree STATE_7390000 [&lnP=-22220.56719221829] = [&R] (((14:[&rate=0.002979423187189951]82.01503233828993,((((((((13:[&rate=0.002343925546211354]22.76272373080931,(11:[&rate=0.0034470232412774538]5.666557895588876,12:[&rate=0.002800689566980822]5.666557895588876):[&rate=0.0024986690800767506]17.096165835220432):[&rate=0.002697311356687754]3.2454885601466437,7:[&rate=0.003339522659144695]26.008212290955953):[&rate=0.0028623308511584408]6.206514979118801,(3:[&rate=0.0034470232412774538]11.00 [...]
-tree STATE_7400000 [&lnP=-22215.09057522188] = [&R] (((((((16:[&rate=0.002254630615627033]39.31104180210351,((8:[&rate=0.0031074445336732974]21.825437145478773,10:[&rate=0.0033489303775554313]21.825437145478773):[&rate=0.0026274648613361464]16.58687569809515,(((13:[&rate=0.00220831322332402]26.72061429265589,7:[&rate=0.0023530939729577527]26.72061429265589):[&rate=0.002939127018826279]3.500213841265161,(11:[&rate=0.0023347785959917664]8.335903593038251,12:[&rate=0.0019311281590140132]8.3 [...]
-tree STATE_7410000 [&lnP=-22215.0472863491] = [&R] ((14:[&rate=0.0026432575907594305]98.98380332628744,((((((8:[&rate=0.002416955713730596]24.459795526066472,10:[&rate=0.0025521830862393563]24.459795526066472):[&rate=0.002745888555800111]13.069654477943168,(((13:[&rate=0.0023384993501499324]22.42941247343295,7:[&rate=0.0029391116555007664]22.42941247343295):[&rate=0.0033424701859037296]3.1326209594928542,(11:[&rate=0.003186230607175132]7.319667138699184,12:[&rate=0.0027997892353433624]7. [...]
-tree STATE_7420000 [&lnP=-22212.924598579015] = [&R] ((33:[&rate=0.00353587475673726]82.99116283254982,(((((((2:[&rate=0.003395032294820954]19.662950644054387,((1:[&rate=0.004798992007206173]5.5260390126797,6:[&rate=0.0027942419857139664]5.5260390126797):[&rate=0.003691311346235943]10.807858007889774,4:[&rate=0.004798992007206173]16.333897020569474):[&rate=0.0037512543301571866]3.3290536234849135):[&rate=0.0027942419857139664]4.554977832824665,(18:[&rate=0.003373700269537811]20.243815538 [...]
-tree STATE_7430000 [&lnP=-22223.618432318577] = [&R] ((33:[&rate=0.0024754255479108346]100.91867435626762,(14:[&rate=0.0031052048551078303]95.35426740377335,((((((2:[&rate=0.0028844836151484003]28.15273456182069,((1:[&rate=0.002968491468961244]7.611075240238793,6:[&rate=0.0024754255479108346]7.611075240238793):[&rate=0.003291844104250871]15.614124431237641,4:[&rate=0.0034449569412904413]23.225199671476435):[&rate=0.002769254549641353]4.927534890344255):[&rate=0.0023404246507783945]3.5634 [...]
-tree STATE_7440000 [&lnP=-22207.7131272928] = [&R] ((33:[&rate=0.0020835459414838492]99.19027479456769,(14:[&rate=0.002593217605788746]86.60957214530065,((((((2:[&rate=0.002869050317637987]25.25966434678806,((1:[&rate=0.002677470041530861]7.697645269078762,6:[&rate=0.0025113026960397124]7.697645269078762):[&rate=0.002428442233694226]13.700818726945222,4:[&rate=0.0029145538538182187]21.398463996023985):[&rate=0.002806510420384516]3.8612003507640758):[&rate=0.0026602712492652687]3.60315252 [...]
-tree STATE_7450000 [&lnP=-22219.97297541087] = [&R] ((((((((((2:[&rate=0.0023093495663776926]31.966082041439694,((1:[&rate=0.002276753340434364]9.509886438974739,6:[&rate=0.0024348430469324513]9.509886438974739):[&rate=0.00239552195111621]15.487844548679746,4:[&rate=0.0034582512088486375]24.997730987654485):[&rate=0.0025352525970444586]6.968351053785209):[&rate=0.002510350777519435]3.7600300512205003,(18:[&rate=0.002324733443738025]29.415502440288684,(26:[&rate=0.0029365315824598903]15.4 [...]
-tree STATE_7460000 [&lnP=-22232.10532714327] = [&R] (((14:[&rate=0.003048665645184235]82.48642257652001,((((((8:[&rate=0.003107600468380778]18.739366255939707,10:[&rate=0.0031397103206055317]18.739366255939707):[&rate=0.0031172665140489653]14.08077704875604,(((13:[&rate=0.003012600066661328]18.35993491857896,7:[&rate=0.002912172862296933]18.35993491857896):[&rate=0.0030631288060536856]3.4725215581501274,(11:[&rate=0.0028311335588817777]5.76653086342763,12:[&rate=0.0029889954870277635]5.7 [...]
-tree STATE_7470000 [&lnP=-22224.242597312503] = [&R] (((((((16:[&rate=0.0032679307588766035]32.863307637579865,((8:[&rate=0.0031169304073103937]22.317804815757505,10:[&rate=0.0032795212977774083]22.317804815757505):[&rate=0.0029240389469950105]9.34438186448316,(((13:[&rate=0.0028581599121638695]20.342336798633937,7:[&rate=0.0032210547583818847]20.342336798633937):[&rate=0.003146122679042892]3.412959904011302,(11:[&rate=0.0032381201940263537]5.548244665368888,12:[&rate=0.00311693040731039 [...]
-tree STATE_7480000 [&lnP=-22215.150188412095] = [&R] (((((((16:[&rate=0.0018928489944026598]42.340755332343115,(((8:[&rate=0.002238127163034039]24.15592234992975,10:[&rate=0.002345762764840777]24.15592234992975):[&rate=0.002832168005011639]13.348632482810007,(3:[&rate=0.0026998440069809304]15.051322481281902,5:[&rate=0.0020206894571088885]15.051322481281902):[&rate=0.0019384559471376035]22.453232351457856):[&rate=0.002132024254846888]3.94075170971319,((13:[&rate=0.0017147649617613057]29. [...]
-tree STATE_7490000 [&lnP=-22204.91332498116] = [&R] ((14:[&rate=0.002172622230900575]111.04408851514985,(((((((8:[&rate=0.003301118327102116]20.952346110157762,10:[&rate=0.0027722848412210163]20.952346110157762):[&rate=0.0033832774695377573]12.381433368908091,((3:[&rate=0.003558879263531134]12.508286911652414,5:[&rate=0.002805972489241611]12.508286911652414):[&rate=0.0027389507108859686]17.16716244894652,((13:[&rate=0.0027223514566538896]22.219816846821466,7:[&rate=0.0034896045282530016] [...]
-tree STATE_7500000 [&lnP=-22219.77601498009] = [&R] ((33:[&rate=0.0021306666600436016]119.11941600908867,(14:[&rate=0.0021306666600436016]105.36274806448151,((((16:[&rate=0.003151746926740819]35.103966193631535,(((3:[&rate=0.0029372575499946544]13.107214289620215,5:[&rate=0.002807399487407641]13.107214289620215):[&rate=0.0027129388951729685]15.857815361246358,((13:[&rate=0.0023286269563443057]20.97505174183073,(11:[&rate=0.0022931778407254263]6.237671142100744,12:[&rate=0.003495205745442 [...]
-tree STATE_7510000 [&lnP=-22206.99275420649] = [&R] ((33:[&rate=0.0025276260804911344]95.91454482534886,(14:[&rate=0.0035717181384028324]85.14073602958673,((((16:[&rate=0.002576665302828897]39.64193195995724,(((3:[&rate=0.0030317104984391293]13.932778676224636,5:[&rate=0.0024490226638248006]13.932778676224636):[&rate=0.002781422673044964]19.117979735671618,((13:[&rate=0.0025276260804911344]21.060071958429862,(11:[&rate=0.0024490226638248006]7.759227205836431,12:[&rate=0.00229347849345086 [...]
-tree STATE_7520000 [&lnP=-22211.828196176706] = [&R] ((33:[&rate=0.0023140781468872543]108.35186681144025,(((((((8:[&rate=0.0026487757169204587]25.467205791579225,10:[&rate=0.0023581922150541783]25.467205791579225):[&rate=0.0038775851295821326]11.204800078314172,(((13:[&rate=0.002236189087269485]20.127247916250518,(11:[&rate=0.002727477340722061]6.389074356208362,12:[&rate=0.0021293192671961217]6.389074356208362):[&rate=0.0029578732775443254]13.738173560042156):[&rate=0.00302379090542703 [...]
-tree STATE_7530000 [&lnP=-22220.067069402492] = [&R] ((33:[&rate=0.002077162877654481]118.34137621789363,(((((16:[&rate=0.0022787469815329377]42.35714205299157,((3:[&rate=0.002193153193014812]16.01912146225028,5:[&rate=0.0024138507531606575]16.01912146225028):[&rate=0.0023197930691999276]23.686512385085532,(((13:[&rate=0.0021031286889756505]24.708151711944076,(11:[&rate=0.002376911036989302]8.314662149386383,12:[&rate=0.0021031286889756505]8.314662149386383):[&rate=0.0025628460888226325] [...]
-tree STATE_7540000 [&lnP=-22218.902097475206] = [&R] ((33:[&rate=0.002878035577676536]95.34142491093345,(14:[&rate=0.002977638483196033]86.76242274927888,(((((((3:[&rate=0.002749412616396586]12.73014076080352,5:[&rate=0.003003888065668302]12.73014076080352):[&rate=0.0029082034114165413]13.898058789061961,((13:[&rate=0.002749412616396586]21.861412162807486,7:[&rate=0.0035878494716612115]21.861412162807486):[&rate=0.003494532691111202]1.5208613683839367,(11:[&rate=0.0031831259364958485]6.4 [...]
-tree STATE_7550000 [&lnP=-22209.651702318148] = [&R] ((33:[&rate=0.001959423875507928]130.35874416648903,(14:[&rate=0.0024242961088483854]108.31017123356152,(((((((24:[&rate=0.0027144537547098817]14.590626893162286,(((20:[&rate=0.0023259694883078705]3.902312928844629,21:[&rate=0.002270078395405996]3.902312928844629):[&rate=0.0027769570190441938]0.3841454163393143,19:[&rate=0.0024850652124597914]4.286458345183943):[&rate=0.002443371010354213]6.715907640309062,15:[&rate=0.00206195948156094 [...]
-tree STATE_7560000 [&lnP=-22223.402718631016] = [&R] ((14:[&rate=0.0020154476298889223]111.22241814971903,(33:[&rate=0.0026201295342913496]89.5916565807528,((((((((24:[&rate=0.002483586041364818]11.362924910584919,(((19:[&rate=0.002214181776035824]2.926509064034566,20:[&rate=0.0027536419309035273]2.926509064034566):[&rate=0.0019012696282674512]0.6581455361994015,21:[&rate=0.002326475371756115]3.5846546002339674):[&rate=0.002701155623263193]4.515694475181036,15:[&rate=0.002214181776035824 [...]
-tree STATE_7570000 [&lnP=-22207.51323974887] = [&R] ((((((((((3:[&rate=0.0024702012984293793]12.527525021488612,5:[&rate=0.002815953218711356]12.527525021488612):[&rate=0.002974417471094384]15.938725605326612,((13:[&rate=0.002039098460622052]22.667466523464363,(11:[&rate=0.004249055331357674]5.908884891893608,12:[&rate=0.00302787304152276]5.908884891893608):[&rate=0.0035248605199371414]16.758581631570756):[&rate=0.004536256133117716]1.3127827387304372,7:[&rate=0.0030549077755835444]23.98 [...]
-tree STATE_7580000 [&lnP=-22214.273591781453] = [&R] ((((((((((24:[&rate=0.003117792024323722]14.306613462730843,((21:[&rate=0.002196482474232013]2.9362579177122794,(19:[&rate=0.0025078536917000835]2.7700587614579617,20:[&rate=0.0022203526678020503]2.7700587614579617):[&rate=0.002667804627068532]0.1661991562543177):[&rate=0.0026984294861364592]5.544677997738464,15:[&rate=0.002894427745501762]8.480935915450743):[&rate=0.0025509951514795445]5.825677547280099):[&rate=0.002989725221793799]5. [...]
-tree STATE_7590000 [&lnP=-22221.533558610787] = [&R] (((((((16:[&rate=0.0027106974752696524]40.560024889009554,((8:[&rate=0.0025208434597865505]27.310843118839205,10:[&rate=0.0021740912936008593]27.310843118839205):[&rate=0.0031605326025718633]12.458818921846355,((3:[&rate=0.002343035777801809]14.709422380452787,5:[&rate=0.0023092347188288544]14.709422380452787):[&rate=0.0021740912936008593]21.801851028871603,((13:[&rate=0.0024308504134766856]22.735181373886036,7:[&rate=0.002783167974364 [...]
-tree STATE_7600000 [&lnP=-22214.26164619992] = [&R] (((((((((((13:[&rate=0.002018348480018084]25.016136834482424,7:[&rate=0.002364769859929804]25.016136834482424):[&rate=0.002332873485374723]5.278427983684736,(11:[&rate=0.0026203412137000654]7.380289193183126,12:[&rate=0.002375211784840785]7.380289193183126):[&rate=0.002106611460796327]22.914275624984036):[&rate=0.0031727387182195707]4.423671052379355,(3:[&rate=0.002478930338810527]16.58051285736198,5:[&rate=0.0021280386312441963]16.5805 [...]
-tree STATE_7610000 [&lnP=-22216.271749013977] = [&R] ((((((((((24:[&rate=0.0033778363441069265]13.612353771897906,(((20:[&rate=0.0031196088316897724]2.8021738615625917,21:[&rate=0.003041551512231831]2.8021738615625917):[&rate=0.0029708924297880863]0.7390602779642466,19:[&rate=0.0029227870551336898]3.5412341395268383):[&rate=0.0035079014361633696]6.374611713739617,15:[&rate=0.003168325907844926]9.915845853266456):[&rate=0.0031773144388929256]3.6965079186314505):[&rate=0.002904614754636732 [...]
-tree STATE_7620000 [&lnP=-22214.175826237417] = [&R] ((33:[&rate=0.002613263601604683]108.45745890767527,(((((((22:[&rate=0.002592784971378393]24.760396295543757,((((20:[&rate=0.0030093484219793722]3.2751842800839155,21:[&rate=0.0022032334542802763]3.2751842800839155):[&rate=0.002844666442790746]0.8613685092122356,19:[&rate=0.0019281344113094455]4.136552789296151):[&rate=0.00287958674166951]8.080976391411262,15:[&rate=0.002299869704971777]12.217529180707414):[&rate=0.002613263601604683]2 [...]
-tree STATE_7630000 [&lnP=-22212.379567257332] = [&R] ((33:[&rate=0.002003622979518558]115.98749168449562,(((((((23:[&rate=0.00251174181108055]10.76276754902702,17:[&rate=0.002880098584071573]10.76276754902702):[&rate=0.0026842642585343844]14.677250545247174,((((19:[&rate=0.002291409062048994]4.066235033459872,(20:[&rate=0.002147354049520922]1.8696715195982172,21:[&rate=0.0030023103745918127]1.8696715195982172):[&rate=0.0030918632282857937]2.196563513861655):[&rate=0.002738944412628073]7. [...]
-tree STATE_7640000 [&lnP=-22217.716983378185] = [&R] (((14:[&rate=0.0029723576363966716]81.22244748333672,(((((((23:[&rate=0.002836515017711167]8.577468984392434,17:[&rate=0.0030190154410664302]8.577468984392434):[&rate=0.0024970631445403618]13.093130920517078,(((19:[&rate=0.0024970631445403618]4.213067991675417,(20:[&rate=0.0025903196780268723]2.908662195090465,21:[&rate=0.0027063378687204455]2.908662195090465):[&rate=0.0029131414546096756]1.3044057965849518):[&rate=0.003154234546306479 [...]
-tree STATE_7650000 [&lnP=-22221.860708694] = [&R] ((33:[&rate=0.002082196235803963]118.94041215100634,(((((16:[&rate=0.0024629343753135953]42.079405563149095,((22:[&rate=0.0026077891702965808]26.495937996404287,(((((19:[&rate=0.002797612386457384]1.8354156709209781,20:[&rate=0.0023881100303093645]1.8354156709209781):[&rate=0.002681766651249725]1.083540194770869,21:[&rate=0.0022695321524836614]2.918955865691847):[&rate=0.002867271144015253]6.298980841056869,15:[&rate=0.0025486077120496996 [...]
-tree STATE_7660000 [&lnP=-22213.18268324726] = [&R] ((33:[&rate=0.0021704749609051323]110.0470303826878,(((((((((11:[&rate=0.0033075721892781356]6.356045427624737,12:[&rate=0.0027856774865592975]6.356045427624737):[&rate=0.0027154166598202935]20.568808940511637,(7:[&rate=0.0031731727150523456]22.313923982411122,13:[&rate=0.0023529161041215708]22.313923982411122):[&rate=0.0025930896702587754]4.610930385725251):[&rate=0.002858440059910476]6.844957579236571,(3:[&rate=0.0029561920839313817]1 [...]
-tree STATE_7670000 [&lnP=-22227.664739251297] = [&R] ((33:[&rate=0.0020194074855737613]129.62824907364094,(((((((8:[&rate=0.0025953941964539013]28.249775322376014,10:[&rate=0.0023499687665492733]28.249775322376014):[&rate=0.0028339654685027023]14.70661346177764,((3:[&rate=0.0029572760490152936]17.243697015459233,5:[&rate=0.002319338149082365]17.243697015459233):[&rate=0.0021472492378844573]23.368535650044926,((11:[&rate=0.0027081965478382864]7.644382482452466,12:[&rate=0.0018198337422941 [...]
-tree STATE_7680000 [&lnP=-22206.46338686964] = [&R] ((33:[&rate=0.0035194208030559135]69.85676086013724,(((((((8:[&rate=0.004205560819293563]16.03524679766936,10:[&rate=0.00406678259677471]16.03524679766936):[&rate=0.0033100266021239776]7.706292682931533,((3:[&rate=0.0036242719571734023]10.042028479334578,5:[&rate=0.003853662427034745]10.042028479334578):[&rate=0.003763607967616321]12.61240521737741,(7:[&rate=0.003355739298251053]18.808494041595353,((11:[&rate=0.003750550760146646]5.0558 [...]
-tree STATE_7690000 [&lnP=-22214.314290844366] = [&R] ((33:[&rate=0.0017784940939424467]121.08250789927554,(14:[&rate=0.002878978212116233]89.39747991206443,((((((((15:[&rate=0.0017173141264839387]11.370284631736915,(19:[&rate=0.0020161388677173626]3.8105255395442463,(21:[&rate=0.002130438645828852]2.737293943260949,20:[&rate=0.002335199072670181]2.737293943260949):[&rate=0.001671389532640927]1.0732315962832972):[&rate=0.002695705069465948]7.559759092192669):[&rate=0.002048342941903774]3. [...]
-tree STATE_7700000 [&lnP=-22222.878477866732] = [&R] ((((((((((24:[&rate=0.0023951226315121004]13.027830677174947,(15:[&rate=0.0023795500736740445]10.16238469833132,(19:[&rate=0.0023701356609279987]5.110260632266421,(21:[&rate=0.0024056705464768884]4.439169931227748,20:[&rate=0.0023826872550049756]4.439169931227748):[&rate=0.0023615476974585456]0.6710907010386729):[&rate=0.002360656445140427]5.0521240660648985):[&rate=0.002390116343998722]2.8654459788436277):[&rate=0.002373717690616986]1 [...]
-tree STATE_7710000 [&lnP=-22224.790091283252] = [&R] ((33:[&rate=0.002137113816830849]120.31152390974157,((((((((24:[&rate=0.002209323899645909]13.506524691873432,(15:[&rate=0.002149448800686123]12.266377225361012,(19:[&rate=0.0020856218964450182]4.115435555214493,(21:[&rate=0.0021616310582507734]3.552510996859431,20:[&rate=0.002366107223397497]3.552510996859431):[&rate=0.0029625390721990043]0.5629245583550619):[&rate=0.00201296731750397]8.15094167014652):[&rate=0.0019966029376909653]1.2 [...]
-tree STATE_7720000 [&lnP=-22222.37890259316] = [&R] ((14:[&rate=0.0017546943901813805]145.16965032048637,(33:[&rate=0.0026752345614887343]104.67477279420285,(((((((24:[&rate=0.0028293405906553108]16.334909150938312,(15:[&rate=0.0023374954259850183]8.901592644971352,(19:[&rate=0.0019175407401054887]4.000742052103588,(21:[&rate=0.0026404105084294038]2.2751148910677674,20:[&rate=0.0027550524747348305]2.2751148910677674):[&rate=0.002427268450497456]1.7256271610358205):[&rate=0.00253388314603 [...]
-tree STATE_7730000 [&lnP=-22224.613178413292] = [&R] ((33:[&rate=0.0021187929531137468]123.17733472581371,((((((((24:[&rate=0.0023737742036009256]16.165975762769207,(15:[&rate=0.0024035721488092267]10.953552520531499,(19:[&rate=0.0021799629304502656]4.609342926061098,(20:[&rate=0.002297947893238299]3.3657656135104315,21:[&rate=0.0024226956741775214]3.3657656135104315):[&rate=0.0022286473950353975]1.2435773125506664):[&rate=0.002297947893238299]6.344209594470401):[&rate=0.0018873727223564 [...]
-tree STATE_7740000 [&lnP=-22218.334580829724] = [&R] ((33:[&rate=0.001990670669204841]137.95787351368537,(((((((23:[&rate=0.003138777185485356]9.173459296998205,17:[&rate=0.0029326536112558397]9.173459296998205):[&rate=0.001526277141808981]16.645156753318382,(22:[&rate=0.002327226678571047]24.523608786211188,(((19:[&rate=0.0025853560117428606]6.341256435413021,(20:[&rate=0.0024137065200899293]4.901511725635776,21:[&rate=0.0025853560117428606]4.901511725635776):[&rate=0.002023644540110859 [...]
-tree STATE_7750000 [&lnP=-22218.237036363174] = [&R] ((14:[&rate=0.002476250084458227]105.9063318266201,(((((((23:[&rate=0.0023214455275580356]14.328790970730989,17:[&rate=0.0022627826065612423]14.328790970730989):[&rate=0.002071514032997357]11.873424294817823,(22:[&rate=0.0024649209662212334]22.102327859478915,(((21:[&rate=0.002442582473842332]5.834803221231156,(20:[&rate=0.002398679027447433]4.092224696997418,19:[&rate=0.002737055128695327]4.092224696997418):[&rate=0.002310072799520260 [...]
-tree STATE_7760000 [&lnP=-22206.368026525444] = [&R] ((33:[&rate=0.002266533537160578]103.47134186775571,((((((((((19:[&rate=0.0024705664013498466]4.274951210105902,(20:[&rate=0.003252309772174893]3.21285682097527,21:[&rate=0.0029946148470735958]3.21285682097527):[&rate=0.002323356504953576]1.0620943891306323):[&rate=0.0034556166168527133]4.936784804903356,15:[&rate=0.0030716482537491694]9.211736015009258):[&rate=0.0030716482537491694]3.770529576781099,24:[&rate=0.0029946148470735958]12. [...]
-tree STATE_7770000 [&lnP=-22218.565990827617] = [&R] ((14:[&rate=0.002444358714110933]101.53629011654215,((((((8:[&rate=0.003011945068349508]21.71831354739117,10:[&rate=0.0023478127492421877]21.71831354739117):[&rate=0.0025241278229945095]18.676841103911343,((3:[&rate=0.002596276983479227]14.833756726462658,5:[&rate=0.0029167596455195784]14.833756726462658):[&rate=0.002706452519284263]19.399402810906608,((11:[&rate=0.002762288022164763]6.717321155290622,12:[&rate=0.0023478127492421877]6. [...]
-tree STATE_7780000 [&lnP=-22223.91444083209] = [&R] ((33:[&rate=0.002168851309442199]103.52246445614757,(14:[&rate=0.0031438145070703818]81.82839439330014,((((((22:[&rate=0.002562881056681564]21.327306842319146,((15:[&rate=0.002029813036090194]11.687758237858107,((20:[&rate=0.002136680936232953]2.2937276298616163,19:[&rate=0.0027660108858414984]2.2937276298616163):[&rate=0.002029813036090194]0.9347386507986819,21:[&rate=0.0019882663758947873]3.228466280660298):[&rate=0.001965649220122011 [...]
-tree STATE_7790000 [&lnP=-22219.086148507107] = [&R] ((33:[&rate=0.0026026085835181506]103.306179614688,((((16:[&rate=0.00259082585436764]39.946140970678755,((((((15:[&rate=0.002519965848506916]7.5833403679996145,((20:[&rate=0.00259082585436764]2.566931832999813,21:[&rate=0.0024308825883041668]2.566931832999813):[&rate=0.0026210690904583385]0.603088737112544,19:[&rate=0.0024669412878469254]3.170020570112357):[&rate=0.002573668799010872]4.413319797887258):[&rate=0.002767055134768652]2.332 [...]
-tree STATE_7800000 [&lnP=-22211.575925383237] = [&R] ((33:[&rate=0.002906101456062139]100.11565374635097,(14:[&rate=0.002699709778198528]78.85178287958648,((((((22:[&rate=0.002699709778198528]20.97300502358778,((15:[&rate=0.004103770273985885]8.358429063838626,(19:[&rate=0.00248609107587806]3.622762636978611,(20:[&rate=0.0031694064026866115]2.8759806876080685,21:[&rate=0.002994477250107811]2.8759806876080685):[&rate=0.0028428677303709345]0.7467819493705425):[&rate=0.0034409811845561894]4 [...]
-tree STATE_7810000 [&lnP=-22220.119450918344] = [&R] (((((((((23:[&rate=0.002692447323598491]11.721081713378398,17:[&rate=0.002395576684746921]11.721081713378398):[&rate=0.002107512131059549]17.385820318570005,((24:[&rate=0.0026785223812962815]13.751102065017058,(15:[&rate=0.002692447323598491]10.936486130027767,((21:[&rate=0.0031141743807460115]2.729051119797,20:[&rate=0.0027219366305905467]2.729051119797):[&rate=0.002651991866267674]1.6041989796992668,19:[&rate=0.0025139218867589177]4. [...]
-tree STATE_7820000 [&lnP=-22209.676938139826] = [&R] ((33:[&rate=0.0017760116313171204]120.8358970673566,(14:[&rate=0.0023639345494977848]95.88525852089302,((((16:[&rate=0.0022993056352246153]42.64245067122005,((8:[&rate=0.0029979880455445196]22.926045365225026,10:[&rate=0.002714460706244839]22.926045365225026):[&rate=0.002501133448969246]18.496630773721453,((3:[&rate=0.0024305892745990314]15.647581729175053,5:[&rate=0.002380341819949544]15.647581729175053):[&rate=0.0021695057835153554]2 [...]
-tree STATE_7830000 [&lnP=-22209.62348446677] = [&R] ((33:[&rate=0.003022478742068957]80.78792882901274,(14:[&rate=0.0032701303809637644]75.28246256671731,((((((((24:[&rate=0.004551718312459372]9.543094174297277,15:[&rate=0.002939494135602786]9.543094174297277):[&rate=0.002939494135602786]0.29651850624762943,((20:[&rate=0.004223226677255636]2.856872127765582,21:[&rate=0.0025424515357122712]2.856872127765582):[&rate=0.003899172522288164]1.2189095458236014,19:[&rate=0.0025424515357122712]4. [...]
-tree STATE_7840000 [&lnP=-22218.77558833176] = [&R] ((((((16:[&rate=0.0024626108505383776]43.783802217668935,((((3:[&rate=0.00290423249952314]15.764261439395773,5:[&rate=0.0024096378827775803]15.764261439395773):[&rate=0.0024278347895026154]19.037020737698192,((13:[&rate=0.002190765918664999]25.94797822779256,(11:[&rate=0.0027235329820231354]7.8193938375115675,12:[&rate=0.002281060970026348]7.8193938375115675):[&rate=0.002922924823300666]18.12858439028099):[&rate=0.0024957096850429174]4. [...]
-tree STATE_7850000 [&lnP=-22216.192503069964] = [&R] (((14:[&rate=0.003805687271846242]73.05600359822519,(((((8:[&rate=0.0037445762640289162]17.968827748377596,10:[&rate=0.0033941224136943386]17.968827748377596):[&rate=0.0033730020619754564]12.563760829957456,((3:[&rate=0.0026707365264296437]13.87958523208118,5:[&rate=0.0026707365264296437]13.87958523208118):[&rate=0.0032256207367173865]15.105103978644259,((13:[&rate=0.0025347144903250496]20.829019649900843,(11:[&rate=0.00322562073671738 [...]
-tree STATE_7860000 [&lnP=-22217.651379938634] = [&R] (((14:[&rate=0.00324564825778409]76.90120872410502,(((((22:[&rate=0.0022443024734913157]23.317253495757598,(((((20:[&rate=0.0032907751771620143]2.3996949896823745,21:[&rate=0.0030988155277752202]2.3996949896823745):[&rate=0.0024354617687824976]1.3363990481152763,19:[&rate=0.002473703646425091]3.736094037797651):[&rate=0.003038431244457017]3.5467654049271378,15:[&rate=0.0031668077021346952]7.282859442724789):[&rate=0.0033411199011386776 [...]
-tree STATE_7870000 [&lnP=-22225.326304103175] = [&R] (((((((((3:[&rate=0.0029405694962588926]12.367003565644705,5:[&rate=0.002964701782905044]12.367003565644705):[&rate=0.0030623690478464314]17.52727394223809,((13:[&rate=0.0026999567918447468]20.6754976762247,(11:[&rate=0.0024955120473164017]5.754052195056121,12:[&rate=0.0028108262692765956]5.754052195056121):[&rate=0.002586269810816116]14.921445481168579):[&rate=0.002648107606557988]5.192619034357797,7:[&rate=0.002898328944173872]25.868 [...]
-tree STATE_7880000 [&lnP=-22221.641334927815] = [&R] (((((((((8:[&rate=0.002035369649380874]29.638754879257988,10:[&rate=0.00218446546173404]29.638754879257988):[&rate=0.001882165422714761]17.68824003328084,((3:[&rate=0.002329565614509492]18.84804643432578,5:[&rate=0.0019523039656159041]18.84804643432578):[&rate=0.0019270765840061882]21.75246326085383,((13:[&rate=0.001913261112610651]26.622542103202882,7:[&rate=0.0022307144697070493]26.622542103202882):[&rate=0.0019859528171976555]6.1352 [...]
-tree STATE_7890000 [&lnP=-22229.55489573211] = [&R] (9:[&rate=0.0022806296859950027]176.48430248565435,(33:[&rate=0.001980306441514907]123.49077356726303,((((((((23:[&rate=0.002418259507204689]10.580844355896867,17:[&rate=0.002351600920056223]10.580844355896867):[&rate=0.0021431470579791295]15.321555320564189,(24:[&rate=0.002085553884798224]15.620135235841266,((19:[&rate=0.0020622359493738763]6.145125433641756,(20:[&rate=0.0023876927067913787]4.591387648417383,21:[&rate=0.002191596181613 [...]
-tree STATE_7900000 [&lnP=-22215.916361547464] = [&R] (9:[&rate=0.0018352465619441657]192.42484102583927,(33:[&rate=0.0015508569682140794]138.618385729979,((((16:[&rate=0.001899024514442008]51.24341891943328,((((3:[&rate=0.0021796046385531044]21.074550464552374,5:[&rate=0.0018352465619441657]21.074550464552374):[&rate=0.0021132101833872615]22.401847250308847,((13:[&rate=0.0017582468729679028]27.89791790645197,7:[&rate=0.0025251815433604253]27.89791790645197):[&rate=0.002627658641906123]5. [...]
-tree STATE_7910000 [&lnP=-22215.97580027009] = [&R] (9:[&rate=0.0020889849405267575]134.99693202736066,((((((((22:[&rate=0.0026959650589184272]20.955232038156062,((15:[&rate=0.0023668622032097086]10.139484191989975,((20:[&rate=0.002152298661275284]2.506268484447153,19:[&rate=0.00197346358446116]2.506268484447153):[&rate=0.002554328952552874]0.10696066926019965,21:[&rate=0.002345039667571225]2.6132291537073526):[&rate=0.002890044484039655]7.526255038282622):[&rate=0.0025089195461506877]3. [...]
-tree STATE_7920000 [&lnP=-22218.282946988635] = [&R] (9:[&rate=0.0025736719207209617]122.39114060293763,((((((((22:[&rate=0.003549199269975477]20.53890971872517,((15:[&rate=0.0034279687038195326]9.629520230626753,((21:[&rate=0.0032350450468446998]2.308407507724669,20:[&rate=0.003934643166652662]2.308407507724669):[&rate=0.003517814929412059]1.1556683775082668,19:[&rate=0.0036146608602410897]3.4640758852329356):[&rate=0.0030780899242700234]6.1654443453938175):[&rate=0.0024410326407691596] [...]
-tree STATE_7930000 [&lnP=-22237.883907418167] = [&R] (9:[&rate=0.0022610596023957307]173.9394374474497,((33:[&rate=0.0021796881889744]122.1051067957952,(((((((23:[&rate=0.001989294762046987]10.061660573067229,17:[&rate=0.002329584634589558]10.061660573067229):[&rate=0.002638600172296681]13.265298991247594,22:[&rate=0.002167547761751755]23.326959564314823):[&rate=0.00255967883857823]1.2765711823871904,((15:[&rate=0.0023411949669490603]10.371757497869702,((20:[&rate=0.001888281584694358]3. [...]
-tree STATE_7940000 [&lnP=-22214.665394625426] = [&R] (9:[&rate=0.002349577417254295]141.1165105910806,(((((((((2:[&rate=0.002349577417254295]29.075535181727208,((1:[&rate=0.002490670714882167]8.727433085014708,6:[&rate=0.0023072110866965657]8.727433085014708):[&rate=0.002523314246074039]16.693182556578073,4:[&rate=0.0028016558391424796]25.420615641592782):[&rate=0.002738515414394177]3.6549195401344257):[&rate=0.0025341823685264913]4.168888578241589,(18:[&rate=0.002738515414394177]27.8793 [...]
-tree STATE_7950000 [&lnP=-22216.393601535798] = [&R] (9:[&rate=0.002236480549336519]194.88314834532164,((((((16:[&rate=0.001971259885727299]45.72767246992698,((8:[&rate=0.0026025352888804044]25.928181467407292,10:[&rate=0.002057366981621993]25.928181467407292):[&rate=0.002628554002104046]16.03655412742495,((3:[&rate=0.0033088506956746545]11.159621104732418,5:[&rate=0.002483320300602846]11.159621104732418):[&rate=0.0019483979213752766]28.53525373269911,((13:[&rate=0.001900336902908945]26. [...]
-tree STATE_7960000 [&lnP=-22210.29906695325] = [&R] (9:[&rate=0.0026658905165636163]126.34178912641127,(33:[&rate=0.0032861171805895653]80.24125409015411,(14:[&rate=0.003672324654136989]71.30294059909619,((((16:[&rate=0.0027254205295947705]33.88552022273471,(((3:[&rate=0.0025810598493387596]13.481709064324363,5:[&rate=0.0023658731586146077]13.481709064324363):[&rate=0.0025810598493387596]15.977928715248584,((13:[&rate=0.002624472802341795]22.617504813607876,7:[&rate=0.0033141217893195916 [...]
-tree STATE_7970000 [&lnP=-22215.46490002776] = [&R] (9:[&rate=0.003506545300088592]109.97143290642113,((14:[&rate=0.0029172805311629764]80.62230463759866,((((((2:[&rate=0.00284691282979013]21.613220080608816,((1:[&rate=0.00364794730155905]5.219628170689283,6:[&rate=0.0026477329147300294]5.219628170689283):[&rate=0.002822109360093975]11.722653019619251,4:[&rate=0.0038734393701175592]16.942281190308535):[&rate=0.00284691282979013]4.670938890300281):[&rate=0.0032540915088983147]3.7434052735 [...]
-tree STATE_7980000 [&lnP=-22225.14606951373] = [&R] (9:[&rate=0.00216869214463453]169.28504447525532,(33:[&rate=0.0023209845001376647]127.64222289139349,(((((((2:[&rate=0.0021155937005650056]35.653942072375806,((1:[&rate=0.0021155937005650056]10.398334829847384,6:[&rate=0.002232191670081285]10.398334829847384):[&rate=0.002166049994318524]20.527115604969197,4:[&rate=0.0021965370492983754]30.925450434816582):[&rate=0.002253636446638111]4.728491637559223):[&rate=0.0022579304368922897]4.0985 [...]
-tree STATE_7990000 [&lnP=-22204.75986356166] = [&R] (9:[&rate=0.003527349069683758]124.95781190864659,((14:[&rate=0.0028789672098187835]84.08517365795107,((((((2:[&rate=0.0031601599857833274]23.86666967886856,((1:[&rate=0.003342909707257731]7.063405508808532,6:[&rate=0.0027077002390886434]7.063405508808532):[&rate=0.003608706026762034]11.422130854364752,4:[&rate=0.003946231156721792]18.485536363173285):[&rate=0.0033696064772598504]5.381133315695276):[&rate=0.002546485107328007]4.87834901 [...]
-tree STATE_8000000 [&lnP=-22223.688342809364] = [&R] (9:[&rate=0.002495010991766998]132.95721431214642,((14:[&rate=0.0029186735502755036]88.01648082864294,(((((((2:[&rate=0.0031697464108709546]26.542595234518785,((1:[&rate=0.003324552818459812]6.237694045972108,6:[&rate=0.0025367045463547313]6.237694045972108):[&rate=0.003117648110656674]14.188203165384682,4:[&rate=0.003402432472693037]20.42589721135679):[&rate=0.00328983350228143]6.1166980231619945):[&rate=0.0031697464108709546]3.550463 [...]
-tree STATE_8010000 [&lnP=-22213.084974339086] = [&R] (9:[&rate=0.0025130504053749217]161.25269557720193,(33:[&rate=0.0021542672995838105]107.87766249856625,(14:[&rate=0.002465319482669808]87.73786672419808,(((((((8:[&rate=0.0029955529235232803]18.178688389648055,10:[&rate=0.0030725589019327776]18.178688389648055):[&rate=0.002371200803796041]16.154821900480858,(3:[&rate=0.00344603363320884]11.421298210610242,5:[&rate=0.002662658311271623]11.421298210610242):[&rate=0.0022768554031208543]22 [...]
-tree STATE_8020000 [&lnP=-22215.619239462827] = [&R] (9:[&rate=0.002955243401081507]125.26226788625452,(33:[&rate=0.002921714775868613]92.85571479586844,(14:[&rate=0.0029904019684476105]86.39895873312238,((((((2:[&rate=0.002716920552114851]23.95038325104779,((1:[&rate=0.0030847176454668213]6.926654780059061,6:[&rate=0.002730114300055199]6.926654780059061):[&rate=0.003133872344626958]13.40950333179413,4:[&rate=0.0030460931605045564]20.33615811185319):[&rate=0.0028680398389895854]3.6142251 [...]
-tree STATE_8030000 [&lnP=-22232.745032628063] = [&R] (9:[&rate=0.0018722836633175146]181.0298320275167,((14:[&rate=0.002308236905490067]112.71791353147975,((((((8:[&rate=0.0025348540595162092]25.391499533164186,10:[&rate=0.002293817955677917]25.391499533164186):[&rate=0.0018722836633175146]24.5935210126449,((3:[&rate=0.001976954176874214]16.112161340444903,5:[&rate=0.0023382965293155416]16.112161340444903):[&rate=0.0018722836633175146]29.433372824289886,((13:[&rate=0.0017698546176667265] [...]
-tree STATE_8040000 [&lnP=-22219.134059134885] = [&R] (9:[&rate=0.0017566864143932811]189.19739019221132,((14:[&rate=0.0030923576704942877]78.41914421862008,((((((8:[&rate=0.003251917645483865]25.660899819720175,10:[&rate=0.0019424291989870634]25.660899819720175):[&rate=0.002697441663032059]14.248678108664574,((3:[&rate=0.002491361420898043]16.9243805899722,5:[&rate=0.0023845068653562396]16.9243805899722):[&rate=0.002320032811787616]18.551369962293354,((13:[&rate=0.002093569778478115]23.2 [...]
-tree STATE_8050000 [&lnP=-22201.65170868374] = [&R] (9:[&rate=0.0037618784476435366]100.43170825805426,((14:[&rate=0.003604094364821055]68.39573859924683,((((((2:[&rate=0.003457481518632798]21.07748838421256,((1:[&rate=0.003101912951310414]7.430594585334944,6:[&rate=0.0027935510957256336]7.430594585334944):[&rate=0.00366398357195011]10.493447632497436,4:[&rate=0.0037915799727869467]17.92404221783238):[&rate=0.003101912951310414]3.1534461663801814):[&rate=0.003487317728059543]4.7003540526 [...]
-tree STATE_8060000 [&lnP=-22213.411700795637] = [&R] (9:[&rate=0.0023319377293093925]148.12236228362693,((((((((2:[&rate=0.0023484879512822394]29.089588807105947,((1:[&rate=0.002830924192764411]8.667346013531287,6:[&rate=0.0021852202476739446]8.667346013531287):[&rate=0.0025709574891760404]15.87804951490811,4:[&rate=0.0026722726617259087]24.545395528439396):[&rate=0.003062069444938607]4.544193278666551):[&rate=0.0020640215244168755]3.962767907827377,(18:[&rate=0.0025709574891760404]28.29 [...]
-tree STATE_8070000 [&lnP=-22231.749054822747] = [&R] (9:[&rate=0.002077405897933251]154.6461988267842,((14:[&rate=0.0022987071140761124]98.46073765098453,33:[&rate=0.0025881077340692573]98.46073765098453):[&rate=0.0019563233910292605]18.71986362255346,(((((((2:[&rate=0.002077405897933251]33.10165421049064,((1:[&rate=0.0022064817355284955]11.468621362055062,6:[&rate=0.001969983146281598]11.468621362055062):[&rate=0.002032167310844511]14.482764068205084,4:[&rate=0.002665695120306369]25.951 [...]
-tree STATE_8080000 [&lnP=-22213.575505995985] = [&R] (9:[&rate=0.00208891868212035]164.85647110948403,(33:[&rate=0.0023400320680744603]129.06049066910586,(((((((2:[&rate=0.002282866667728384]28.27728173994551,((1:[&rate=0.0026024624391287124]7.900776938293709,6:[&rate=0.0022711385286765633]7.900776938293709):[&rate=0.0023173756393925103]17.061302952604546,4:[&rate=0.0032054263914590765]24.962079890898256):[&rate=0.002259257352130931]3.3152018490472557):[&rate=0.002635459232113754]4.87299 [...]
-tree STATE_8090000 [&lnP=-22214.71913579334] = [&R] (9:[&rate=0.003211972547356649]121.59958142561857,((14:[&rate=0.003586967977397657]79.81136506552285,((((((2:[&rate=0.0038221312799158473]20.662690250694133,((1:[&rate=0.003667546733129573]5.148623511630273,6:[&rate=0.0035223652718220856]5.148623511630273):[&rate=0.004041439473631622]10.526264253855183,4:[&rate=0.00456215938839565]15.674887765485456):[&rate=0.004069593616404847]4.987802485208677):[&rate=0.0035059758321704074]3.815381289 [...]
-tree STATE_8100000 [&lnP=-22221.542110141163] = [&R] (9:[&rate=0.002924880427677677]148.2176444501858,((((((16:[&rate=0.002699855396320984]38.31343429527811,((8:[&rate=0.002849998016651599]24.898753713469656,10:[&rate=0.002513445503447732]24.898753713469656):[&rate=0.002641851543354845]12.327101411146149,((3:[&rate=0.0030423070839999547]14.680859111919144,5:[&rate=0.0022905467341554657]14.680859111919144):[&rate=0.0027823748897579763]18.94631778789088,((13:[&rate=0.002133113179032052]21. [...]
-tree STATE_8110000 [&lnP=-22206.147084796037] = [&R] (9:[&rate=0.0030235396813965733]140.42398268840535,(((((((((13:[&rate=0.0023926670328844528]21.52214508627108,(11:[&rate=0.003464801393940821]5.414346031570057,12:[&rate=0.003464801393940821]5.414346031570057):[&rate=0.0033959503912016553]16.107799054701026):[&rate=0.002231787847660174]5.401835750948965,7:[&rate=0.00254035946659746]26.923980837220046):[&rate=0.0026879011144216427]7.696911763730416,((3:[&rate=0.0030700998487685196]12.82 [...]
-tree STATE_8120000 [&lnP=-22215.5155352653] = [&R] (9:[&rate=0.0027218594048931243]125.25198652911943,(((((((((3:[&rate=0.003491331644349763]11.267548226738814,5:[&rate=0.002986945391042753]11.267548226738814):[&rate=0.003387229705300092]15.372378755772377,((13:[&rate=0.0029733523178737354]19.028505471318763,7:[&rate=0.0033359023514110413]19.028505471318763):[&rate=0.003425338238390316]5.073071155961141,(11:[&rate=0.003425338238390316]6.176743721366849,12:[&rate=0.003166491226266016]6.17 [...]
-tree STATE_8130000 [&lnP=-22213.267378659002] = [&R] (9:[&rate=0.002354375170100013]130.1822807322263,(((((((((3:[&rate=0.0032796434186518233]15.043963495633673,5:[&rate=0.002296717094412838]15.043963495633673):[&rate=0.0025030854679334615]18.00180745417516,((13:[&rate=0.0028413105959128036]21.24673333678637,7:[&rate=0.003227623484120038]21.24673333678637):[&rate=0.002073954583952072]7.8839852068121665,(11:[&rate=0.0031829496846757874]6.619701127899061,12:[&rate=0.002735921376642117]6.61 [...]
-tree STATE_8140000 [&lnP=-22221.394682633036] = [&R] (9:[&rate=0.0023761903125290177]167.50088984211786,((14:[&rate=0.002370439068437722]106.50238290164202,(((((((3:[&rate=0.00240664626791528]15.687279318582851,5:[&rate=0.0024463850709798966]15.687279318582851):[&rate=0.002415842175033563]19.88243255015376,((13:[&rate=0.002457534361077981]26.235848612302608,7:[&rate=0.00248948223203574]26.235848612302608):[&rate=0.002417969436884634]4.314612216346944,(11:[&rate=0.002363214113434736]8.197 [...]
-tree STATE_8150000 [&lnP=-22217.33609444146] = [&R] (9:[&rate=0.00245321132313613]160.72175280573413,((14:[&rate=0.0022168347945932254]116.97418447306516,(((((((3:[&rate=0.0021499436413271156]17.525775332298036,5:[&rate=0.0021720018804515973]17.525775332298036):[&rate=0.0023271615365644026]20.063797340046452,((13:[&rate=0.0018230598844819988]28.502113177513507,7:[&rate=0.00245321132313613]28.502113177513507):[&rate=0.0022881885411670097]3.657548395879836,(11:[&rate=0.0022757849535000505] [...]
-tree STATE_8160000 [&lnP=-22213.650318863554] = [&R] (9:[&rate=0.0026468986828638227]133.0943199872658,(((((((((2:[&rate=0.00305725927816715]23.222188320981868,((1:[&rate=0.002684035430199699]5.72000190140067,6:[&rate=0.002837775944558473]5.72000190140067):[&rate=0.00305725927816715]13.145883891947875,4:[&rate=0.00393362247004683]18.865885793348546):[&rate=0.0030866205550184617]4.356302527633321):[&rate=0.0028653920560699946]3.186789331287443,(18:[&rate=0.0028790344586253178]22.127884857 [...]
-tree STATE_8170000 [&lnP=-22224.996521321067] = [&R] (9:[&rate=0.0033369262373696322]81.6145714844724,((14:[&rate=0.004331297077750594]53.6841404787203,((((16:[&rate=0.003631508309102336]26.350800164197214,((8:[&rate=0.003809360180072289]17.182635483626,10:[&rate=0.004004961423176715]17.182635483626):[&rate=0.003760678824158189]8.521968726172531,((3:[&rate=0.0037445986059164073]8.522238704495637,5:[&rate=0.004331297077750594]8.522238704495637):[&rate=0.0034719958481408885]12.908453827673 [...]
-tree STATE_8180000 [&lnP=-22234.700481856707] = [&R] (9:[&rate=0.0023425461028944525]140.23565591825962,((14:[&rate=0.002343378240245701]91.3906575036753,33:[&rate=0.002342447701860443]91.3906575036753):[&rate=0.0023448594030176604]8.486156327525393,((((((2:[&rate=0.002342398711102682]30.690204801281823,((1:[&rate=0.002341844917113968]11.183627537676117,6:[&rate=0.002343520010626149]11.183627537676117):[&rate=0.0023414368171928344]15.027124675291827,4:[&rate=0.0023398917006405098]26.2107 [...]
-tree STATE_8190000 [&lnP=-22214.022332492525] = [&R] (9:[&rate=0.003838597026153098]101.57487417653743,(33:[&rate=0.0028059728587225634]95.94325168235846,(14:[&rate=0.0032888977281236784]79.20791403351339,(((((16:[&rate=0.003041672894247161]29.987123832464434,(8:[&rate=0.0030264037274873225]17.5910123613767,10:[&rate=0.0029424304625691603]17.5910123613767):[&rate=0.0030855516392418614]12.396111471087735):[&rate=0.002833818384306694]2.030679136909008,((3:[&rate=0.0029778751649413918]11.36 [...]
-tree STATE_8200000 [&lnP=-22212.083751289127] = [&R] (9:[&rate=0.00255508287327138]132.73429631820179,((33:[&rate=0.0029797491820760112]79.85984299049989,((((((8:[&rate=0.0028225543775964044]19.224102767191027,10:[&rate=0.0027623417188355486]19.224102767191027):[&rate=0.00377900057830296]10.631402669106532,((3:[&rate=0.0034604571768916187]12.348189875184952,5:[&rate=0.0031504671141171607]12.348189875184952):[&rate=0.00331189958473556]16.501902476545155,((13:[&rate=0.00238106657779688]20. [...]
-tree STATE_8210000 [&lnP=-22210.841104215193] = [&R] (9:[&rate=0.003304979537043869]106.83995069851966,((14:[&rate=0.0033711874046782734]76.93258205627698,(((((((2:[&rate=0.003282243683587655]21.187436322410733,((1:[&rate=0.003241954511028687]6.6035853026177636,6:[&rate=0.0036660979957782044]6.6035853026177636):[&rate=0.003506467634953255]11.65710607384781,4:[&rate=0.0036401000681595404]18.260691376465573):[&rate=0.003334491882637041]2.9267449459451598):[&rate=0.003327161417592729]4.6307 [...]
-tree STATE_8220000 [&lnP=-22192.670334705024] = [&R] (9:[&rate=0.0036493671306705314]89.77541959039546,((14:[&rate=0.004506333968891598]56.25364004726752,((((16:[&rate=0.003202229231359581]23.691073198522627,((8:[&rate=0.004671576732237116]13.61258384282375,10:[&rate=0.003380117494430575]13.61258384282375):[&rate=0.004342332479195098]9.548541872435173,((3:[&rate=0.004313005022511907]8.439031096047133,5:[&rate=0.0038898554581735085]8.439031096047133):[&rate=0.0041022879199592525]12.085887 [...]
-tree STATE_8230000 [&lnP=-22225.93960558097] = [&R] (9:[&rate=0.0016790017841293464]213.2785244787272,((14:[&rate=0.0019656156750132167]130.25804305966446,33:[&rate=0.001788906854758246]130.25804305966446):[&rate=0.0018275005734681622]4.992713761323557,(((((((2:[&rate=0.0016114467993762933]38.26280413667089,((1:[&rate=0.002221847245573183]11.457736027479774,6:[&rate=0.0018275005734681622]11.457736027479774):[&rate=0.0023672862086282307]17.194889583123974,4:[&rate=0.00251238958457114]28.6 [...]
-tree STATE_8240000 [&lnP=-22203.357284742306] = [&R] (9:[&rate=0.0026747330734974923]137.3214995133148,(33:[&rate=0.0022290298496828297]104.8091683760917,(14:[&rate=0.0031172504864964154]85.76319442157867,((((((2:[&rate=0.0025409159876856264]28.811056807221966,((1:[&rate=0.0029627824336160512]7.840580348188299,6:[&rate=0.0023157193435029257]7.840580348188299):[&rate=0.0023157193435029257]17.057944794006175,4:[&rate=0.002918810909235239]24.898525142194476):[&rate=0.0029627824336160512]3.9 [...]
-tree STATE_8250000 [&lnP=-22210.91874559474] = [&R] (9:[&rate=0.001985494291980641]158.40822519732805,(33:[&rate=0.0024143301622709967]100.78649407066744,(14:[&rate=0.0026883419948458605]82.64022756479176,((((16:[&rate=0.00234474738979822]39.590005422859505,((8:[&rate=0.0026749792016671717]25.387779897456042,10:[&rate=0.0026154319602897987]25.387779897456042):[&rate=0.0028633620430259027]12.90006847135681,((3:[&rate=0.0028979324447911633]14.771599555808523,5:[&rate=0.002228780245313513]1 [...]
-tree STATE_8260000 [&lnP=-22217.04600477854] = [&R] (9:[&rate=0.003250195021431892]108.53017151252811,((((((((2:[&rate=0.0033721746591855502]22.201845287628746,((1:[&rate=0.004819037265757751]5.265189024100586,6:[&rate=0.0031720829532588023]5.265189024100586):[&rate=0.0032752327230533068]10.946276541973326,4:[&rate=0.004133387560487265]16.21146556607391):[&rate=0.003926380355813892]5.9903797215548344):[&rate=0.0031720829532588023]5.058275687710768,(18:[&rate=0.0031987029463003726]21.9006 [...]
-tree STATE_8270000 [&lnP=-22215.2574033269] = [&R] (9:[&rate=0.0021947367710358438]170.97297639124952,(((((((16:[&rate=0.002526550263135119]36.70185330190349,(8:[&rate=0.002745507018531993]20.4167114132032,10:[&rate=0.002700973746385254]20.4167114132032):[&rate=0.002581277273711488]16.28514188870029):[&rate=0.0022319184267158426]2.1640361151938876,((3:[&rate=0.002020370999797193]20.485998587318385,5:[&rate=0.0017992340031888015]20.485998587318385):[&rate=0.002845806686370392]15.173948551 [...]
-tree STATE_8280000 [&lnP=-22203.989271289087] = [&R] (9:[&rate=0.0020918348808264533]150.74508558442585,(33:[&rate=0.0021975514601516154]111.75500513129116,(((((16:[&rate=0.002022764776058728]37.0633788515614,(((3:[&rate=0.0030478255113644344]12.642450548690894,5:[&rate=0.002339958548327534]12.642450548690894):[&rate=0.0021736975334527746]20.91559706900636,((13:[&rate=0.0023936391144633988]21.47913977858371,7:[&rate=0.003157436221696855]21.47913977858371):[&rate=0.0026836954973812072]4.8 [...]
-tree STATE_8290000 [&lnP=-22228.148865240237] = [&R] (9:[&rate=0.0030947495741328887]127.6923975623635,(33:[&rate=0.0025922835475296092]103.60754302215052,(14:[&rate=0.003129851660068659]75.42410003911026,(((((((3:[&rate=0.0028293804349281662]14.612328344131042,5:[&rate=0.002931214623945086]14.612328344131042):[&rate=0.0027848935037191385]19.84015780141049,((13:[&rate=0.002762292693953559]18.694538704212977,7:[&rate=0.003215885119719146]18.694538704212977):[&rate=0.002750832724070786]6.5 [...]
-tree STATE_8300000 [&lnP=-22229.61993495774] = [&R] (9:[&rate=0.001981458351915538]186.83420209918603,(14:[&rate=0.0019626361830344143]148.70425414735735,(33:[&rate=0.002347547179922043]132.11912317250986,((((((2:[&rate=0.002507361396377777]34.087758789192904,((1:[&rate=0.0018858328572383665]11.104616626508252,6:[&rate=0.0019626361830344143]11.104616626508252):[&rate=0.0019215366897925538]14.910283347782888,4:[&rate=0.002507361396377777]26.01489997429114):[&rate=0.002075814311139244]8.07 [...]
-tree STATE_8310000 [&lnP=-22218.371621660917] = [&R] (9:[&rate=0.0027160586290827736]150.95637128325973,(33:[&rate=0.002921210467928122]101.44212926284152,(14:[&rate=0.003238920153640654]77.44845876882621,((((16:[&rate=0.0031985954616719917]34.98485456813042,(((2:[&rate=0.0032810680551920352]22.636793412613308,((1:[&rate=0.003658248241229258]8.34030225035832,6:[&rate=0.0021785043100535978]8.34030225035832):[&rate=0.0026331444545212275]10.587098717935508,4:[&rate=0.0040216759459363784]18. [...]
-tree STATE_8320000 [&lnP=-22196.61739060277] = [&R] (9:[&rate=0.004145142035582647]93.60895321740323,((((((((8:[&rate=0.0035371852053366825]18.840417214034925,10:[&rate=0.003483261718132085]18.840417214034925):[&rate=0.003142265678784632]10.757464488118394,((3:[&rate=0.0035943414084269342]11.864826740430424,5:[&rate=0.003213722614421737]11.864826740430424):[&rate=0.0030844356068810835]15.539491818115007,((13:[&rate=0.002854606018888658]18.254713092401282,7:[&rate=0.003347950962180528]18. [...]
-tree STATE_8330000 [&lnP=-22223.345459730153] = [&R] (9:[&rate=0.0027028663619895416]131.2835042310361,(33:[&rate=0.002653922926486565]108.14072677525866,(((((16:[&rate=0.002327705272414676]40.59462200961018,(((2:[&rate=0.0023434624292953533]28.094027206241407,((1:[&rate=0.0030586653270440432]7.639680499748504,6:[&rate=0.002988431021324251]7.639680499748504):[&rate=0.002563015539137101]17.026980070114806,4:[&rate=0.0027374866687057417]24.66666056986331):[&rate=0.0030216793580797683]3.427 [...]
-tree STATE_8340000 [&lnP=-22218.742406535308] = [&R] (9:[&rate=0.0023144036658533105]159.0250990131981,(33:[&rate=0.0021957939770327023]109.02304237152643,(14:[&rate=0.00290516756889224]91.51075148740041,(((((((3:[&rate=0.002084763144976663]18.073006439210186,5:[&rate=0.0021138450461586906]18.073006439210186):[&rate=0.0026502088635962278]20.135474003161274,((13:[&rate=0.001986422572809569]27.42182475884177,7:[&rate=0.0028510583586504245]27.42182475884177):[&rate=0.0020382497465642625]3.6 [...]
-tree STATE_8350000 [&lnP=-22222.88385735029] = [&R] (9:[&rate=0.00220991444307968]132.34284181847565,((((((((2:[&rate=0.0023329566730750694]28.627981088368173,((1:[&rate=0.0025472388606005746]6.356540999259641,6:[&rate=0.0029230367314421303]6.356540999259641):[&rate=0.00220991444307968]17.11310891867241,4:[&rate=0.0027229752112419925]23.469649917932053):[&rate=0.002489917872375195]5.158331170436121):[&rate=0.002430639041748558]3.549714439362738,(18:[&rate=0.0021841525097006285]27.9499495 [...]
-tree STATE_8360000 [&lnP=-22217.275684013974] = [&R] (9:[&rate=0.0033726405196663604]129.0539821596791,(33:[&rate=0.002386137672678582]111.2817661790784,(14:[&rate=0.00281308291718166]95.64515954483693,((((((2:[&rate=0.0024937100315654695]28.67575737485301,((1:[&rate=0.0030217642733761435]8.02342724511389,6:[&rate=0.002360186459066785]8.02342724511389):[&rate=0.002398709405933412]15.473362639489753,4:[&rate=0.0029234345469498265]23.496789884603643):[&rate=0.0026481722964010372]5.17896749 [...]
-tree STATE_8370000 [&lnP=-22215.96592353205] = [&R] (9:[&rate=0.002661457170675724]145.3227182445557,(14:[&rate=0.002792756254845935]93.21009489845949,(((((((8:[&rate=0.0030970395230314365]21.623425543088825,10:[&rate=0.003022439790145829]21.623425543088825):[&rate=0.003022439790145829]13.099304407703027,((3:[&rate=0.0026078841723223348]10.89327230384787,5:[&rate=0.0029370343685262102]10.89327230384787):[&rate=0.0028722213690400046]21.92354491947287,((13:[&rate=0.002336307664106086]23.46 [...]
-tree STATE_8380000 [&lnP=-22234.755117273435] = [&R] (9:[&rate=0.0024885515052896967]155.83682521074599,(33:[&rate=0.0024876806162662524]119.1079604576764,((((((((3:[&rate=0.00248650266691475]14.97374791491427,5:[&rate=0.002489540767979491]14.97374791491427):[&rate=0.002481366557399659]17.18271972623039,((13:[&rate=0.0024829695807708635]23.747624544384166,(11:[&rate=0.0024874971029424722]6.627434609103328,12:[&rate=0.0024829695807708635]6.627434609103328):[&rate=0.002484994711357608]17.1 [...]
-tree STATE_8390000 [&lnP=-22228.687005399403] = [&R] (9:[&rate=0.0025690421443542817]149.5801155148328,(33:[&rate=0.0024861110251016773]110.84471568985263,(14:[&rate=0.0023554680394379324]102.6183015719434,((((((2:[&rate=0.002440750870001226]31.593257248729063,((1:[&rate=0.002443878762632825]8.379462947419256,6:[&rate=0.002400950173557538]8.379462947419256):[&rate=0.002450129709660542]18.75824677647546,4:[&rate=0.002518054427027549]27.137709723894716):[&rate=0.0024933584450142175]4.45554 [...]
-tree STATE_8400000 [&lnP=-22215.724045070314] = [&R] (9:[&rate=0.002305028038513752]138.64563954118972,((14:[&rate=0.0019252049276251323]100.80905474113541,((((((2:[&rate=0.002376479847853388]30.29513975978285,((1:[&rate=0.0022521145778887967]8.664215212386905,6:[&rate=0.0021257438178588707]8.664215212386905):[&rate=0.0022012069748688764]17.33037905681858,4:[&rate=0.0025847497727390645]25.994594269205482):[&rate=0.00275206661045194]4.300545490577367):[&rate=0.00275206661045194]6.15695877 [...]
-tree STATE_8410000 [&lnP=-22207.58159737682] = [&R] (9:[&rate=0.002589365153155367]126.86613341107079,(33:[&rate=0.002084633255146005]91.53895255808244,(((((((2:[&rate=0.0028954723460839697]22.68194785561561,((1:[&rate=0.0034163602928520727]6.199721279459041,6:[&rate=0.0026877454546154456]6.199721279459041):[&rate=0.0030084270268359416]11.622463123650789,4:[&rate=0.0039986141391882175]17.82218440310983):[&rate=0.003366673468098166]4.859763452505781):[&rate=0.0031392933422442386]3.9523362 [...]
-tree STATE_8420000 [&lnP=-22221.448196419955] = [&R] ((((((((2:[&rate=0.0034117956380538914]21.204548941003285,((1:[&rate=0.0030049507999839365]6.567329985412869,6:[&rate=0.003452648953419407]6.567329985412869):[&rate=0.004060966460456042]11.133716967071287,4:[&rate=0.0036390261539334242]17.701046952484155):[&rate=0.0031952787105763766]3.5035019885191296):[&rate=0.004026126135573903]2.530777521226703,(18:[&rate=0.004228589776498669]20.7113800900754,(26:[&rate=0.004228589776498669]13.1884 [...]
-tree STATE_8430000 [&lnP=-22212.059402652303] = [&R] ((33:[&rate=0.002343526886957453]120.35500979882909,(14:[&rate=0.002964368565415128]97.22015128780772,((((((2:[&rate=0.0025668372021212275]28.115837173527208,((1:[&rate=0.0023910725856430733]8.710145886517987,6:[&rate=0.0025523539132200797]8.710145886517987):[&rate=0.002142093393308952]14.632028202673874,4:[&rate=0.003429425859894925]23.34217408919186):[&rate=0.0028475108494617073]4.773663084335347):[&rate=0.0022923124353165514]6.52599 [...]
-tree STATE_8440000 [&lnP=-22217.593325497695] = [&R] (((((((((3:[&rate=0.0029245718084413303]13.622673842790615,5:[&rate=0.00269719886738945]13.622673842790615):[&rate=0.003123108002857773]18.909067474602995,((13:[&rate=0.002526153500460928]19.244043672743775,7:[&rate=0.003467106609720445]19.244043672743775):[&rate=0.002770124188919718]5.641930684056266,(11:[&rate=0.00269719886738945]7.0294596272414385,12:[&rate=0.002600401731636211]7.0294596272414385):[&rate=0.002600401731636211]17.8565 [...]
-tree STATE_8450000 [&lnP=-22220.186819395985] = [&R] ((33:[&rate=0.0023088638907739515]108.42531358244418,((((((((2:[&rate=0.0026388450008420676]29.391139707177445,((1:[&rate=0.0030407338954945226]7.733465398706641,6:[&rate=0.0019937726614080095]7.733465398706641):[&rate=0.0027152156378981588]15.925535153886699,4:[&rate=0.0030972028536196123]23.65900055259334):[&rate=0.0031636302522924306]5.732139154584104):[&rate=0.0031636302522924306]3.0920161784934663,(18:[&rate=0.0026388450008420676] [...]
-tree STATE_8460000 [&lnP=-22207.920594676023] = [&R] ((33:[&rate=0.0036906850825812808]71.54612452708089,(((((((2:[&rate=0.004200123575070739]17.82707059636078,((1:[&rate=0.0034695009268889796]5.776408794822428,6:[&rate=0.004008898318348573]5.776408794822428):[&rate=0.003671037778996709]10.62854793331824,4:[&rate=0.004832155031572956]16.404956728140668):[&rate=0.004832155031572956]1.4221138682201122):[&rate=0.0029151461028373337]5.375131302262748,(18:[&rate=0.0038773600968798018]20.13896 [...]
-tree STATE_8470000 [&lnP=-22212.017407489504] = [&R] ((33:[&rate=0.002818830011943036]91.54061753391402,(14:[&rate=0.003645550600628711]68.80956152541245,((((16:[&rate=0.003015374930411587]31.94479229439436,(((3:[&rate=0.0030926967282550685]11.473101628085013,5:[&rate=0.003457385200155343]11.473101628085013):[&rate=0.003322727168566283]17.013652752862022,((13:[&rate=0.002715833644379727]20.042348068774082,(11:[&rate=0.003457385200155343]5.602267576341953,12:[&rate=0.003067844348749081]5. [...]
-tree STATE_8480000 [&lnP=-22224.181359984825] = [&R] ((33:[&rate=0.0017156705303897123]165.55688299333536,(((((((2:[&rate=0.0021424189654082253]35.88198266224372,((1:[&rate=0.002552593200603183]8.947955731766065,6:[&rate=0.0021424189654082253]8.947955731766065):[&rate=0.0014948888858015124]22.17313396991225,4:[&rate=0.002666509460038232]31.121089701678315):[&rate=0.0027163260152308273]4.760892960565407):[&rate=0.0023565454826414605]3.063491352362661,(18:[&rate=0.001972390803978291]34.285 [...]
-tree STATE_8490000 [&lnP=-22223.867240922384] = [&R] ((33:[&rate=0.0020544242125353843]119.30685766808377,(14:[&rate=0.0022278726257813617]102.32590803693087,((((((2:[&rate=0.0022587883225445473]34.246244714633775,((1:[&rate=0.002166241177977337]7.232936709206543,6:[&rate=0.002555963869710815]7.232936709206543):[&rate=0.0019513879069178936]19.667623564056925,4:[&rate=0.0027063809237443965]26.900560273263466):[&rate=0.0026042036374690604]7.3456844413703095):[&rate=0.0025157464571004327]4. [...]
-tree STATE_8500000 [&lnP=-22213.18492762478] = [&R] ((((((((3:[&rate=0.0035818020979245914]11.424315118186017,5:[&rate=0.003395858906632112]11.424315118186017):[&rate=0.0034532620295046434]13.497623870203038,((13:[&rate=0.0032018780664650544]15.652160384438318,7:[&rate=0.0038290888625721097]15.652160384438318):[&rate=0.0034532620295046434]3.2357584404381825,(11:[&rate=0.004039467561851394]4.741765729061154,12:[&rate=0.0038719835101433744]4.741765729061154):[&rate=0.003814816160411599]14. [...]
-tree STATE_8510000 [&lnP=-22215.881447732718] = [&R] (((((((16:[&rate=0.002460113231672473]39.16590892258912,(((3:[&rate=0.002198972866333873]16.331479913231178,5:[&rate=0.0020734283607537107]16.331479913231178):[&rate=0.002770867544133948]16.3823484071481,((13:[&rate=0.0024844617305931926]22.31827045490332,7:[&rate=0.003019991385376601]22.31827045490332):[&rate=0.0026430845017964386]2.160224425445474,(11:[&rate=0.0025565195565653348]6.454636602046138,12:[&rate=0.0024226863584211012]6.45 [...]
-tree STATE_8520000 [&lnP=-22217.289827943765] = [&R] (((14:[&rate=0.002441691253493302]103.1270812920996,((((((3:[&rate=0.002420808394213301]13.573110666334847,5:[&rate=0.0024764163074024507]13.573110666334847):[&rate=0.0022017537375779877]22.038076847686824,((13:[&rate=0.0018519131025104636]24.88376099108603,7:[&rate=0.0024764163074024507]24.88376099108603):[&rate=0.00238270171087797]5.011593964365133,(11:[&rate=0.0023737423614688027]8.10786312019908,12:[&rate=0.002234953279426148]8.107 [...]
-tree STATE_8530000 [&lnP=-22204.544340587174] = [&R] ((14:[&rate=0.004460059868546967]68.48446810904997,(33:[&rate=0.0053594857242979296]58.19358954981087,(((((((3:[&rate=0.004927231448688768]8.702760951824372,5:[&rate=0.003936420656035485]8.702760951824372):[&rate=0.004149497116684736]12.150502084629784,((7:[&rate=0.00482268877620021]12.705309458674813,13:[&rate=0.00407840326057268]12.705309458674813):[&rate=0.0038633799042159813]5.337579723015276,(11:[&rate=0.005057039068322997]3.47498 [...]
-tree STATE_8540000 [&lnP=-22229.337904009706] = [&R] ((33:[&rate=0.0024667512260486773]104.98007049234413,(14:[&rate=0.0024878451865088563]89.14089372643498,(((((((3:[&rate=0.0031132355555947675]12.99994328601585,5:[&rate=0.002571717038457385]12.99994328601585):[&rate=0.0022489483043071864]25.069104885429113,((7:[&rate=0.0027225024055770406]23.47592056937897,13:[&rate=0.002442646124908282]23.47592056937897):[&rate=0.0027385514375364082]3.944553944162113,(11:[&rate=0.0024878451865088563]6 [...]
-tree STATE_8550000 [&lnP=-22224.357507645826] = [&R] ((14:[&rate=0.0024920399547220307]94.56307010878346,(((((((3:[&rate=0.002532163410246068]15.433383477020145,5:[&rate=0.002532163410246068]15.433383477020145):[&rate=0.002513882582825841]18.059545019545595,((11:[&rate=0.0025624368402195536]6.031594017520336,12:[&rate=0.002461730227449823]6.031594017520336):[&rate=0.0024437220741153317]23.27745111098734,(13:[&rate=0.0023440401034618952]23.516184011281137,7:[&rate=0.0024294530102009033]23 [...]
-tree STATE_8560000 [&lnP=-22227.67761915931] = [&R] (((33:[&rate=0.0028252278714593296]96.39044511948812,((((((2:[&rate=0.0030082325959569626]26.04528379950829,((1:[&rate=0.0029980022661436857]8.125534547377972,6:[&rate=0.002733136005863166]8.125534547377972):[&rate=0.0027857025393686926]14.455814953908819,4:[&rate=0.0029278159574065016]22.58134950128679):[&rate=0.0028415435225172202]3.463934298221499):[&rate=0.0026664661185645316]4.89001982034851,(18:[&rate=0.0028086580993523336]23.7341 [...]
-tree STATE_8570000 [&lnP=-22215.703681056963] = [&R] (((14:[&rate=0.0032470437133011237]75.1638674694507,((((((2:[&rate=0.003020028111856951]25.381800769212475,((1:[&rate=0.002685146455611383]7.564290868196091,6:[&rate=0.002813125914688928]7.564290868196091):[&rate=0.002718674655598244]12.43756789897491,4:[&rate=0.0030998381177026976]20.001858767171):[&rate=0.0028867317704841778]5.379942002041474):[&rate=0.003547100145307263]5.316274925863937,(18:[&rate=0.0028027975691888585]23.069494424 [...]
-tree STATE_8580000 [&lnP=-22210.420242438155] = [&R] (((14:[&rate=0.0035686091124262744]65.56848745034286,((((((2:[&rate=0.0032038501658736016]21.426927099595474,((1:[&rate=0.003941382066221081]6.839843866471715,6:[&rate=0.00344135008150074]6.839843866471715):[&rate=0.0032727701958346865]12.79637042760724,4:[&rate=0.0036695456956397296]19.636214294078954):[&rate=0.003356510347897467]1.7907128055165202):[&rate=0.0032569275325303043]2.9996649102764117,(18:[&rate=0.003580537959045618]21.151 [...]
-tree STATE_8590000 [&lnP=-22212.291406233864] = [&R] ((14:[&rate=0.0024402534815652875]84.47882357573818,(33:[&rate=0.003362821096272649]71.5041784758574,(((16:[&rate=0.0031036183552902406]35.52222796541298,(((8:[&rate=0.002927649076934431]19.467243722436407,10:[&rate=0.003383277601416751]19.467243722436407):[&rate=0.0036082147912195727]12.516574865622289,((7:[&rate=0.0031640795332504583]21.959615550026104,(13:[&rate=0.0030194178864603244]16.976838881952848,(11:[&rate=0.00328268376737484 [...]
-tree STATE_8600000 [&lnP=-22208.478410446332] = [&R] ((33:[&rate=0.0029142693249905385]97.75139827868239,(14:[&rate=0.0032936528913630842]81.07413348784864,(((((8:[&rate=0.0030677418192751943]17.84524809436085,10:[&rate=0.0033379639084711076]17.84524809436085):[&rate=0.0038638725226766446]12.267129821036697,((((13:[&rate=0.0027551979727572545]18.08020037834343,7:[&rate=0.003938956415015783]18.08020037834343):[&rate=0.003249454011112038]3.593321777896012,(11:[&rate=0.004125504989545731]4. [...]
-tree STATE_8610000 [&lnP=-22209.375953416] = [&R] ((33:[&rate=0.0027710426003450597]88.45646027275147,(14:[&rate=0.004019505623866492]65.46329691813203,((((16:[&rate=0.002716982568466557]31.37671116374777,((((13:[&rate=0.003460366506396444]17.467441006909088,7:[&rate=0.0034847707849318147]17.467441006909088):[&rate=0.00410008147291357]3.721944396560307,(11:[&rate=0.003460366506396444]4.954596695074035,12:[&rate=0.003536109770326572]4.954596695074035):[&rate=0.0033056867023028677]16.23478 [...]
-tree STATE_8620000 [&lnP=-22228.00044138131] = [&R] ((33:[&rate=0.0023901952037776474]124.9315701122762,((((((((13:[&rate=0.002530973704885827]25.534440859140204,7:[&rate=0.0025224861910120135]25.534440859140204):[&rate=0.0022992215856284595]2.753537288531575,(11:[&rate=0.002583281654124005]5.444134593590799,12:[&rate=0.0024724111291554197]5.444134593590799):[&rate=0.0024249394192190233]22.84384355408098):[&rate=0.00250642455953581]8.238496356780658,(3:[&rate=0.0025595615118642343]14.331 [...]
-tree STATE_8630000 [&lnP=-22212.504949827737] = [&R] (((((((16:[&rate=0.002611183206014326]39.28482731235596,((8:[&rate=0.002689845132220788]23.276938257080033,10:[&rate=0.0025964036978456412]23.276938257080033):[&rate=0.002611183206014326]15.198882412181334,(((13:[&rate=0.002470853596974313]22.575946103722046,(11:[&rate=0.0032023119122634664]6.191633236647051,12:[&rate=0.0026415789141779654]6.191633236647051):[&rate=0.002416569636764547]16.384312867074996):[&rate=0.002706835880657342]3. [...]
-tree STATE_8640000 [&lnP=-22218.30007914279] = [&R] (((((((((((13:[&rate=0.0022073496404088427]23.435390358312112,(11:[&rate=0.002231785302975941]7.203494798229839,12:[&rate=0.002728525303270601]7.203494798229839):[&rate=0.0029736923753844076]16.231895560082272):[&rate=0.0028601669461484273]6.311484400327419,7:[&rate=0.0022561439785062903]29.74687475863953):[&rate=0.001975085869454806]8.320710654619734,(3:[&rate=0.00242789404628577]15.982518337360583,5:[&rate=0.0022561439785062903]15.982 [...]
-tree STATE_8650000 [&lnP=-22231.059222253676] = [&R] (((((((((3:[&rate=0.0022434202863868967]18.07206924898045,5:[&rate=0.002210438430590734]18.07206924898045):[&rate=0.002077196878580617]19.59759146484853,((13:[&rate=0.0025219188869795386]22.581866672457856,(11:[&rate=0.002480544111403527]6.895103948706141,12:[&rate=0.0024143155344204656]6.895103948706141):[&rate=0.0023332899603035312]15.686762723751716):[&rate=0.00226190022978827]4.751474129531129,7:[&rate=0.0024143155344204656]27.3333 [...]
-tree STATE_8660000 [&lnP=-22237.32092306502] = [&R] ((((((((((23:[&rate=0.0023398101969143285]12.010417260990952,17:[&rate=0.002521110305018325]12.010417260990952):[&rate=0.0024986277965937595]10.945808470125666,(((21:[&rate=0.0023494082466904657]4.101276649797101,(19:[&rate=0.0018673438862388263]2.7110100937037838,20:[&rate=0.002477139195418006]2.7110100937037838):[&rate=0.002521110305018325]1.3902665560933172):[&rate=0.0021642774258963326]5.44977007547394,15:[&rate=0.002570248262353132 [...]
-tree STATE_8670000 [&lnP=-22212.52835381833] = [&R] ((33:[&rate=0.0028917890231266227]87.11833446989061,(((((((23:[&rate=0.003058725731995282]8.897736280848,17:[&rate=0.0030516329729804443]8.897736280848):[&rate=0.0028461663875036236]12.624080181325349,((((21:[&rate=0.0028986656264277846]3.4150270510112053,(20:[&rate=0.0028917890231266227]2.1490154916210784,19:[&rate=0.003145549991137005]2.1490154916210784):[&rate=0.0029806889833552397]1.2660115593901269):[&rate=0.0030974574346144938]5.6 [...]
-tree STATE_8680000 [&lnP=-22209.426845517653] = [&R] ((33:[&rate=0.0024568292675859844]105.66163440371132,(14:[&rate=0.0025144077173279086]96.70045988440113,((((((3:[&rate=0.0024452484867285382]17.048841713532738,5:[&rate=0.00234826841617857]17.048841713532738):[&rate=0.0021921167961177638]20.62557277204816,((13:[&rate=0.0020497616377765375]23.945326938705257,(11:[&rate=0.0028481705630843744]5.597225080879841,12:[&rate=0.0023735993437002424]5.597225080879841):[&rate=0.0027046974902375266 [...]
-tree STATE_8690000 [&lnP=-22218.47327645192] = [&R] ((((((((((3:[&rate=0.0030713478494630376]13.787055698263629,5:[&rate=0.002426426725612524]13.787055698263629):[&rate=0.002566929140860391]14.452527542406727,((13:[&rate=0.002698417034552136]18.439754349549766,7:[&rate=0.00297926575617168]18.439754349549766):[&rate=0.002883132093773044]5.062079496771698,(11:[&rate=0.0022489047900185392]6.930373620513806,12:[&rate=0.0026220874386447416]6.930373620513806):[&rate=0.0025940241259773834]16.57 [...]
-tree STATE_8700000 [&lnP=-22211.266956837695] = [&R] (((14:[&rate=0.0027632470640767334]74.45937098894647,((((((((15:[&rate=0.0028741069381761387]8.55618315682739,((19:[&rate=0.0029232246243074004]2.4875222574169293,20:[&rate=0.0030299024044870186]2.4875222574169293):[&rate=0.0026506520691997318]1.9843697068170587,21:[&rate=0.0025236259900635475]4.471891964233988):[&rate=0.003537501983614963]4.084291192593401):[&rate=0.0027934579986346347]2.516797353791956,24:[&rate=0.0027632470640767334 [...]
-tree STATE_8710000 [&lnP=-22226.69281822305] = [&R] (((14:[&rate=0.0027253537579269745]98.07397982889677,(((16:[&rate=0.0025067791767412434]40.93370844806356,((((3:[&rate=0.0027253537579269745]15.87352517662437,5:[&rate=0.0023249960438894595]15.87352517662437):[&rate=0.002755356394032177]19.377202734569664,((13:[&rate=0.0024410255480197826]25.036315488480113,7:[&rate=0.003078154641342593]25.036315488480113):[&rate=0.002526534591132374]3.4791828975744608,(11:[&rate=0.0022852558317803407]7 [...]
-tree STATE_8720000 [&lnP=-22229.50253315307] = [&R] (((14:[&rate=0.0030634527832161386]84.45969204503126,(((((((24:[&rate=0.0024172470390087263]14.134364546229257,(((21:[&rate=0.001869823626302903]3.499299732360622,20:[&rate=0.0026426842123909887]3.499299732360622):[&rate=0.0024172470390087263]0.8235412374048434,19:[&rate=0.0027786791135299173]4.3228409697654655):[&rate=0.003724526164961593]3.7225456717709626,15:[&rate=0.0031253940705025787]8.045386641536428):[&rate=0.002209553443661889] [...]
-tree STATE_8730000 [&lnP=-22215.763720320316] = [&R] ((33:[&rate=0.0024332343617505603]110.45922422944568,((((((((24:[&rate=0.0028068722170985078]13.101841183030581,(((21:[&rate=0.002835103846241994]2.8887358388158644,20:[&rate=0.0025899763525861997]2.8887358388158644):[&rate=0.002646332615955895]0.5353517402465031,19:[&rate=0.0027609644012473204]3.4240875790623675):[&rate=0.002952396778167274]6.170649891414255,15:[&rate=0.002854475808835495]9.594737470476623):[&rate=0.002940214647837644 [...]
-tree STATE_8740000 [&lnP=-22218.24900530356] = [&R] ((33:[&rate=0.002896680195233685]90.84733385876604,((((((((24:[&rate=0.003928896978144654]10.294692199229715,((21:[&rate=0.0032443961538602185]4.164245310254224,(19:[&rate=0.0036925598894267837]2.0725337906859873,20:[&rate=0.0037351767098646924]2.0725337906859873):[&rate=0.0037131474806642545]2.091711519568237):[&rate=0.003344056309596609]2.550735233279,15:[&rate=0.0033076011431864235]6.714980543533224):[&rate=0.0035592760996881988]3.57 [...]
-tree STATE_8750000 [&lnP=-22212.914578510383] = [&R] ((((((((((24:[&rate=0.0027667909930139596]17.320864539611666,((21:[&rate=0.001897275970304375]3.5250437222242637,(20:[&rate=0.0028580297617805126]3.4765848610120034,19:[&rate=0.002423355045111651]3.4765848610120034):[&rate=0.003247192972579251]0.048458861212260285):[&rate=0.002343957204223609]7.148742526613792,15:[&rate=0.0020635012212292204]10.673786248838056):[&rate=0.002273261694257258]6.64707829077361):[&rate=0.0028852191412027]5.5 [...]
-tree STATE_8760000 [&lnP=-22217.351821654833] = [&R] (((((((16:[&rate=0.001673745321344123]45.00916055163053,((8:[&rate=0.002427426452776058]26.314401167875562,10:[&rate=0.0022199741966947885]26.314401167875562):[&rate=0.0023327712730471747]16.64694106981155,(((13:[&rate=0.001841082802104929]30.756555652216885,(11:[&rate=0.002368689086798093]8.891185465372242,12:[&rate=0.0018771495423768327]8.891185465372242):[&rate=0.0023875384591240984]21.865370186844643):[&rate=0.0022351961836277563]4 [...]
-tree STATE_8770000 [&lnP=-22226.581746700856] = [&R] (((((((((2:[&rate=0.0027797206349966293]27.266257571716285,((1:[&rate=0.0026172962005226773]7.967442533194987,6:[&rate=0.0025106951051151382]7.967442533194987):[&rate=0.0020720808366756502]17.24505092880969,4:[&rate=0.0030946079421615225]25.212493462004677):[&rate=0.0021319982899623076]2.053764109711608):[&rate=0.002656561699506243]6.652359840311991,(18:[&rate=0.0030380779234625063]28.425554161603294,(26:[&rate=0.0026042230801975952]17 [...]
-tree STATE_8780000 [&lnP=-22222.451631806824] = [&R] ((((((((((3:[&rate=0.002318243210276883]17.04963046280053,5:[&rate=0.0018970008293929103]17.04963046280053):[&rate=0.002370372156426456]20.727422797655706,(8:[&rate=0.0028931664810939485]19.505323020325932,10:[&rate=0.0026219791310262246]19.505323020325932):[&rate=0.0021727543216814443]18.271730240130303):[&rate=0.002644500544444754]1.5620687784113017,((13:[&rate=0.0017619717580265625]29.81105172164476,(11:[&rate=0.002669487740289126]6 [...]
-tree STATE_8790000 [&lnP=-22228.664567291824] = [&R] (((((((((2:[&rate=0.0018021172070584904]34.95366005359829,((1:[&rate=0.0020939124074294407]9.572105437987714,6:[&rate=0.0018976096491103702]9.572105437987714):[&rate=0.002116417804941857]18.709772566523583,4:[&rate=0.0024183206897768236]28.2818780045113):[&rate=0.001887776057129838]6.671782049086993):[&rate=0.0021050202230812375]6.608922864524544,(18:[&rate=0.00207243851033529]32.17709856420206,(26:[&rate=0.002128142397730464]22.259609 [...]
-tree STATE_8800000 [&lnP=-22228.311445482363] = [&R] (((((((((8:[&rate=0.0027382200216867934]21.021640643275777,10:[&rate=0.0024172852200714866]21.021640643275777):[&rate=0.0019005569212773277]15.716810627981086,((3:[&rate=0.003619060843584347]12.382134436389729,5:[&rate=0.0020582987412504613]12.382134436389729):[&rate=0.0029874047489347605]17.246168330448356,((13:[&rate=0.0023087085595312087]21.972677463168296,(11:[&rate=0.0023087085595312087]9.210426847013562,12:[&rate=0.00208747191569 [...]
-tree STATE_8810000 [&lnP=-22216.527247605027] = [&R] ((14:[&rate=0.001959856961094174]108.67886150005704,((((((((3:[&rate=0.002438826397165791]14.346445670452233,5:[&rate=0.002284441704350546]14.346445670452233):[&rate=0.00191337666075806]20.42892037781089,((13:[&rate=0.002122118098783779]23.588498037756466,7:[&rate=0.002586948884575351]23.588498037756466):[&rate=0.0022966142527308655]1.7400700951852812,(11:[&rate=0.002771289173107952]7.080836563077022,12:[&rate=0.002607396504529404]7.08 [...]
-tree STATE_8820000 [&lnP=-22211.013639256736] = [&R] ((33:[&rate=0.002081787413316681]107.32582044155089,(14:[&rate=0.0025369305999127416]84.55177772934813,((((16:[&rate=0.0022704139662547574]39.941392896007294,(((3:[&rate=0.002725558594730731]13.044529312879815,5:[&rate=0.002550279766128181]13.044529312879815):[&rate=0.0023662122478272513]20.38829382487897,((11:[&rate=0.002680844929556454]6.331550177529807,12:[&rate=0.0026610970808833598]6.331550177529807):[&rate=0.0021748436773637884]2 [...]
-tree STATE_8830000 [&lnP=-22215.51392320016] = [&R] ((33:[&rate=0.0026489220260698656]96.28862256529608,(((((((2:[&rate=0.0030298465345721965]28.142889143346743,((1:[&rate=0.0024366973867455234]7.308309468379475,6:[&rate=0.003256481722114184]7.308309468379475):[&rate=0.003212204620817928]15.966454710353213,4:[&rate=0.0027383752171235547]23.27476417873269):[&rate=0.002605731675138555]4.868124964614054):[&rate=0.0025631806726317567]3.939651775260387,(18:[&rate=0.0025420612256059102]25.5119 [...]
-tree STATE_8840000 [&lnP=-22232.332472146943] = [&R] ((33:[&rate=0.0023727785219990146]111.96545304006038,(14:[&rate=0.0023456099354129275]106.93067378549264,((((16:[&rate=0.0023128230885967717]38.55755235337178,(((3:[&rate=0.0024892667318883554]17.118595510694217,5:[&rate=0.002478341118752806]17.118595510694217):[&rate=0.0024892667318883554]17.164284162965625,(7:[&rate=0.0023596869818127936]28.381259381973425,((11:[&rate=0.0026524750505700903]6.085869095559429,12:[&rate=0.00255649128703 [...]
-tree STATE_8850000 [&lnP=-22214.92687568537] = [&R] (((14:[&rate=0.0026534657657384195]91.44400370208218,(((((((3:[&rate=0.0026799527629567848]13.324364505013174,5:[&rate=0.002685284644890144]13.324364505013174):[&rate=0.0026722761730789742]19.06929171118304,(7:[&rate=0.0026909865606871233]26.553859860358173,((11:[&rate=0.0026346648401479583]6.436263230991707,12:[&rate=0.0026519337091307324]6.436263230991707):[&rate=0.0026164476467541815]16.063134001669944,13:[&rate=0.0026658867695047543 [...]
-tree STATE_8860000 [&lnP=-22212.832791803314] = [&R] ((14:[&rate=0.002669579823893756]97.37758116845811,(((((16:[&rate=0.002669579823893756]35.573883077348455,(((3:[&rate=0.002431341559074707]14.693471579237592,5:[&rate=0.002382053422205377]14.693471579237592):[&rate=0.0031733402558591266]15.020142858331507,(7:[&rate=0.003081200797630383]24.186239829246375,((11:[&rate=0.0031733402558591266]6.51875688113305,12:[&rate=0.002682517954849771]6.51875688113305):[&rate=0.0033083907612922675]14.1 [...]
-tree STATE_8870000 [&lnP=-22221.706621129106] = [&R] ((14:[&rate=0.0015452924712110626]138.30579739891286,(33:[&rate=0.0020834231385390587]123.18094288990211,((((16:[&rate=0.001706208366321649]49.92775527245462,((8:[&rate=0.002481984692011616]26.44907074403614,10:[&rate=0.0020594722111793883]26.44907074403614):[&rate=0.0018200565657876641]19.678765160889736,((3:[&rate=0.001868876526031559]14.679521006128457,5:[&rate=0.0024121663047139727]14.679521006128457):[&rate=0.002036850271294488]29 [...]
-tree STATE_8880000 [&lnP=-22220.270393108305] = [&R] ((33:[&rate=0.002298946655286582]110.01280148797896,(14:[&rate=0.002853945357357675]88.20224357535058,((((16:[&rate=0.0021923626738366005]39.39660649233457,((8:[&rate=0.002407208256051249]24.22963912533121,10:[&rate=0.0022770738336612933]24.22963912533121):[&rate=0.0027194571480430993]13.915628463340894,((3:[&rate=0.002309234436807566]15.591329452541695,5:[&rate=0.0022528970526026816]15.591329452541695):[&rate=0.002298946655286582]18.2 [...]
-tree STATE_8890000 [&lnP=-22223.756954784058] = [&R] ((14:[&rate=0.0021579137570512667]118.76882612524331,(33:[&rate=0.0027049183433550967]106.26862159379742,((((16:[&rate=0.002366667137235678]43.27452734738673,((8:[&rate=0.0022607084828070822]23.003036761512035,10:[&rate=0.0024663293003865396]23.003036761512035):[&rate=0.002750794078936596]16.760249777577584,((3:[&rate=0.0020436891232037398]16.657928216257996,5:[&rate=0.002411493824485461]16.657928216257996):[&rate=0.0023207005803835895 [...]
-tree STATE_8900000 [&lnP=-22224.99018287714] = [&R] ((33:[&rate=0.0032757910685248196]76.22427246932601,(14:[&rate=0.003244639968736252]63.70140942918059,(((((((3:[&rate=0.0033111607243495795]11.216468530679233,5:[&rate=0.0032156369395015946]11.216468530679233):[&rate=0.0029580950455926035]15.62273791300683,(7:[&rate=0.0032387163316709424]21.646168790479308,((11:[&rate=0.0031531192788829742]7.725638282652923,12:[&rate=0.0029282697341852775]7.725638282652923):[&rate=0.0032156369395015946] [...]
-tree STATE_8910000 [&lnP=-22216.845972555642] = [&R] ((33:[&rate=0.002081494896182765]140.25767677252244,(14:[&rate=0.002460353705260889]104.64122062048177,((((((8:[&rate=0.0020327029035514177]30.25962947782697,10:[&rate=0.002164848481572346]30.25962947782697):[&rate=0.002042770492918068]13.8226663274598,((3:[&rate=0.0021095102428224017]20.312661713277873,5:[&rate=0.0018966904379695928]20.312661713277873):[&rate=0.002164848481572346]18.84543283067629,((11:[&rate=0.0020909002537421004]7.3 [...]
-tree STATE_8920000 [&lnP=-22223.976776796568] = [&R] ((14:[&rate=0.00276560696239197]101.4653175136493,(33:[&rate=0.0027329071320447394]88.63285721642008,(((((((3:[&rate=0.003533324547834348]9.302473169733842,5:[&rate=0.003184079071194122]9.302473169733842):[&rate=0.0027808857676396618]21.722475169370277,(7:[&rate=0.0031290521454492475]24.774365516559257,((11:[&rate=0.0027151999525832212]6.805542807595848,12:[&rate=0.0025276697158498973]6.805542807595848):[&rate=0.0033423503020921425]15. [...]
-tree STATE_8930000 [&lnP=-22212.62302659353] = [&R] ((((((((((3:[&rate=0.0024515155826325048]18.869820557209255,5:[&rate=0.002169181778207871]18.869820557209255):[&rate=0.002469353138676555]14.763554532730563,((11:[&rate=0.003374571439426252]7.433171799209749,12:[&rate=0.0019898222723894595]7.433171799209749):[&rate=0.00256000696016978]21.512573354478338,(7:[&rate=0.0026760793199069365]24.789950858532116,13:[&rate=0.0023075234706742935]24.789950858532116):[&rate=0.0023259407197364344]4.1 [...]
-tree STATE_8940000 [&lnP=-22219.24692843883] = [&R] ((33:[&rate=0.002688442096248109]90.22041632976526,((((((8:[&rate=0.0030421228920106203]21.460322171565693,10:[&rate=0.0026322448947567684]21.460322171565693):[&rate=0.0033642467151736976]13.308775003044978,((3:[&rate=0.002688442096248109]14.283072675075697,5:[&rate=0.0028989812907737264]14.283072675075697):[&rate=0.002824595641269166]17.800073214438267,(7:[&rate=0.0028082045326289365]24.52745655922392,((11:[&rate=0.00305472504227142]4. [...]
-tree STATE_8950000 [&lnP=-22221.246601969997] = [&R] ((((((((((23:[&rate=0.0024899254062336657]12.55508336035489,17:[&rate=0.002095917426666023]12.55508336035489):[&rate=0.0023582243650400025]13.598491982553385,(24:[&rate=0.0022693088891083306]16.32998733280815,((19:[&rate=0.0029582457928337604]5.753621584482522,(21:[&rate=0.0026103890596422966]2.629519746628197,20:[&rate=0.0026208813485798354]2.629519746628197):[&rate=0.00289969533649678]3.1241018378543246):[&rate=0.0031135764097984893] [...]
-tree STATE_8960000 [&lnP=-22210.71690456531] = [&R] ((33:[&rate=0.0024498749192567062]107.14833355553725,(((((((23:[&rate=0.003083182355982171]8.629434067134449,17:[&rate=0.003083182355982171]8.629434067134449):[&rate=0.0024970504585807352]14.825438001713094,(22:[&rate=0.0033214819243417657]20.43827096729102,(24:[&rate=0.002806057298990524]15.21260004049949,((21:[&rate=0.00277947690371623]3.320104279064032,(19:[&rate=0.0034021876104526655]2.093182266944376,20:[&rate=0.002391759712547635] [...]
-tree STATE_8970000 [&lnP=-22209.8969545736] = [&R] ((33:[&rate=0.0024715316629880545]101.50102962636768,(((((16:[&rate=0.002578573062646454]36.912283770472236,((((11:[&rate=0.0033551773765120594]7.6440965648833465,12:[&rate=0.002423903189367269]7.6440965648833465):[&rate=0.0031985224531474138]16.14278928793282,(7:[&rate=0.002904549295699416]21.785736000539053,13:[&rate=0.0023131131493222]21.785736000539053):[&rate=0.003392966655717737]2.0011498522771163):[&rate=0.0028463551550843586]8.79 [...]
-tree STATE_8980000 [&lnP=-22205.68219720338] = [&R] (((33:[&rate=0.002960766721078247]87.86515213605061,(((((((11:[&rate=0.0030101964161844902]4.485076498014912,12:[&rate=0.0037028157563295558]4.485076498014912):[&rate=0.0035791024820272456]18.35969247452372,(7:[&rate=0.0038094078212964873]18.28155456549997,13:[&rate=0.0023677258945956426]18.28155456549997):[&rate=0.003318316429542181]4.563214407038661):[&rate=0.004034790671343277]3.982983118330715,(3:[&rate=0.0035791024820272456]11.4746 [...]
-tree STATE_8990000 [&lnP=-22215.712503261417] = [&R] ((14:[&rate=0.002954861921529413]90.45679121783667,(33:[&rate=0.003411093337389961]86.73002662137783,(((((((7:[&rate=0.0036606612336181087]22.1246377932847,((11:[&rate=0.003969645479899166]4.648050598056819,12:[&rate=0.002954861921529413]4.648050598056819):[&rate=0.0033802626085170976]11.466514620777595,13:[&rate=0.0031569895132287228]16.114565218834414):[&rate=0.003350257975747348]6.010072574450284):[&rate=0.0024094139245513175]6.4105 [...]
-tree STATE_9000000 [&lnP=-22226.51850580425] = [&R] ((14:[&rate=0.0015694029822063405]146.19605219285577,(33:[&rate=0.002221079433266061]124.82412470674844,((((16:[&rate=0.0021254227314996357]54.066837914487266,((((11:[&rate=0.0015362706658472638]11.750855158104834,12:[&rate=0.0013401078556685376]11.750855158104834):[&rate=0.0020685432527027133]25.282368638579207,(7:[&rate=0.0022388578766233984]31.126098149144962,13:[&rate=0.0018297243294776303]31.126098149144962):[&rate=0.00248463324771 [...]
-tree STATE_9010000 [&lnP=-22225.165796293833] = [&R] ((14:[&rate=0.0018482188732938014]144.60425169059795,(33:[&rate=0.0017931687577950528]125.7860752744706,(((((((7:[&rate=0.0021600075569695822]38.905988969912386,((11:[&rate=0.001860762981203899]10.50070649518284,12:[&rate=0.0017612358909643105]10.50070649518284):[&rate=0.0021128574780295136]19.511334954780573,13:[&rate=0.0018848475680751842]30.012041449963412):[&rate=0.002025973672336175]8.893947519948973):[&rate=0.0018848475680751842] [...]
-tree STATE_9020000 [&lnP=-22221.35862929271] = [&R] (((33:[&rate=0.00242358498772892]95.86441804386222,((((((7:[&rate=0.002412650161615611]29.965290159313962,((11:[&rate=0.0023258260238402267]7.8102828748432795,12:[&rate=0.0022598474720112336]7.8102828748432795):[&rate=0.0026780967846163823]16.359048708709707,13:[&rate=0.0023258260238402267]24.16933158355299):[&rate=0.002701544731431671]5.795958575760974):[&rate=0.002767487848954524]8.432582985205688,((3:[&rate=0.0028972854742930223]14.4 [...]
-tree STATE_9030000 [&lnP=-22233.25861212204] = [&R] ((33:[&rate=0.0020457156036683753]136.95882064764643,(14:[&rate=0.0018888834335142415]127.26223106383162,(((((((3:[&rate=0.0021585110171161532]16.275217437413225,5:[&rate=0.0024881698801104274]16.275217437413225):[&rate=0.0017388909439007803]28.919570296522302,((11:[&rate=0.0020236683491248906]9.066332652724679,12:[&rate=0.0019401134122441785]9.066332652724679):[&rate=0.0019605925177026804]28.2447771298429,(7:[&rate=0.002488169880110427 [...]
-tree STATE_9040000 [&lnP=-22222.484697383774] = [&R] ((33:[&rate=0.0017408449395108355]123.87485880876683,(14:[&rate=0.002079655508699305]98.50197856457297,(((16:[&rate=0.0020147311130033034]46.97812228913591,((((3:[&rate=0.0030573470548572006]11.587107457899625,5:[&rate=0.00225949236049927]11.587107457899625):[&rate=0.00225949236049927]25.851109564191717,((11:[&rate=0.0020957072639274056]8.455679859019861,12:[&rate=0.0016489032012356507]8.455679859019861):[&rate=0.002573254434063972]20. [...]
-tree STATE_9050000 [&lnP=-22228.397803719843] = [&R] ((33:[&rate=0.0028513763304865523]95.59455295503606,(((((((23:[&rate=0.002754606367414238]9.211407979371128,17:[&rate=0.003008973029590293]9.211407979371128):[&rate=0.0025743648359206465]15.509877520450818,(22:[&rate=0.002946850577266934]20.55076915204093,(24:[&rate=0.002955833450000094]14.908009497977723,((21:[&rate=0.002761338451634633]4.448221669024431,(19:[&rate=0.0029141608092639287]3.258092331171241,20:[&rate=0.003053047572022465 [...]
-tree STATE_9060000 [&lnP=-22223.082440304508] = [&R] ((33:[&rate=0.0020751497836745377]123.61638229346009,((((((((23:[&rate=0.0020876534759759857]11.285770522429543,17:[&rate=0.0025307843120989373]11.285770522429543):[&rate=0.0020751497836745377]17.47866394179438,((24:[&rate=0.0025485445574735272]12.183634266152454,((21:[&rate=0.002404279176296626]4.438872930675594,(19:[&rate=0.0023050112054991364]4.19388537966118,20:[&rate=0.0020751497836745377]4.19388537966118):[&rate=0.001971278374910 [...]
-tree STATE_9070000 [&lnP=-22207.681281178426] = [&R] (((14:[&rate=0.0030447645782347714]81.63653931309025,((((16:[&rate=0.002798704450744208]33.86757396230304,(((3:[&rate=0.003274295225698096]12.826013954416842,5:[&rate=0.0030239023141826987]12.826013954416842):[&rate=0.003459228947158997]16.040520818995837,((11:[&rate=0.0037287754214791508]5.4292011711453725,12:[&rate=0.002772995817955172]5.4292011711453725):[&rate=0.003002890064724221]16.460590157259695,(7:[&rate=0.0038531357979712908] [...]
-tree STATE_9080000 [&lnP=-22212.375381846017] = [&R] (((14:[&rate=0.0027962848187971893]102.13913324564716,((((((((11:[&rate=0.002731036472221841]8.556228530589367,12:[&rate=0.0022169718799693186]8.556228530589367):[&rate=0.0021701937298830576]21.732407553028814,(7:[&rate=0.0024792278438164096]23.497623976109892,13:[&rate=0.0021701937298830576]23.497623976109892):[&rate=0.0023914896289054864]6.791012107508287):[&rate=0.0016277609715512793]9.19687468677217,(3:[&rate=0.002557837453359356]1 [...]
-tree STATE_9090000 [&lnP=-22226.344080159048] = [&R] (((((((((8:[&rate=0.002120588116202138]26.872701657649976,10:[&rate=0.002042493891162206]26.872701657649976):[&rate=0.001923563833012602]19.61602801024275,((3:[&rate=0.0018582420401065294]15.935027726792086,5:[&rate=0.002120588116202138]15.935027726792086):[&rate=0.002042493891162206]22.326492728579957,((11:[&rate=0.002051044891089194]8.090490417003618,12:[&rate=0.0019305953109426503]8.090490417003618):[&rate=0.0019731333840240254]25.1 [...]
-tree STATE_9100000 [&lnP=-22223.954885284897] = [&R] ((((((((8:[&rate=0.002603973308274798]26.06566152964494,10:[&rate=0.002666876596692464]26.06566152964494):[&rate=0.003086021925433853]11.266614769264045,(((3:[&rate=0.0022801420997382266]15.19357655358907,5:[&rate=0.00225897607721103]15.19357655358907):[&rate=0.0022349374944786024]20.863564184733846,(7:[&rate=0.0024262206462346697]30.264579494508823,((11:[&rate=0.0028726045746229633]6.5056441274961525,12:[&rate=0.002762169121226111]6.5 [...]
-tree STATE_9110000 [&lnP=-22219.361220345138] = [&R] ((((((16:[&rate=0.0021965683647196224]42.07336181248046,(((3:[&rate=0.0032166940273069735]15.347619401941483,5:[&rate=0.002355443794430764]15.347619401941483):[&rate=0.002355443794430764]20.566617983374453,((11:[&rate=0.0023211818837409674]8.729613397357411,12:[&rate=0.0022289120249987283]8.729613397357411):[&rate=0.002355443794430764]22.570102455473407,(7:[&rate=0.002366475518271319]24.4456036278682,13:[&rate=0.0021965683647196224]24. [...]
-tree STATE_9120000 [&lnP=-22220.22883483428] = [&R] ((33:[&rate=0.003019483146439906]96.14104531269608,(((((16:[&rate=0.0028890242672770963]33.404385355073,(((3:[&rate=0.003620138955145866]13.300682090164678,5:[&rate=0.0030022026150956184]13.300682090164678):[&rate=0.003019483146439906]15.044933896632472,(7:[&rate=0.0029665578549848107]23.852799575421436,((11:[&rate=0.003438258336291841]5.626766879951161,12:[&rate=0.0028890242672770963]5.626766879951161):[&rate=0.0034190239529359808]15.4 [...]
-tree STATE_9130000 [&lnP=-22224.853039259517] = [&R] (((14:[&rate=0.0028972142979122742]74.26875321818585,(((((22:[&rate=0.0025135546068510463]24.013091136386574,((((19:[&rate=0.0027065227053169254]4.6488032923224525,(20:[&rate=0.0022492319173684416]4.162292379607368,21:[&rate=0.0027065227053169254]4.162292379607368):[&rate=0.002267938325794951]0.48651091271508484):[&rate=0.002137837722181526]9.910317670178205,15:[&rate=0.0020400421941465336]14.559120962500657):[&rate=0.00213783772218152 [...]
-tree STATE_9140000 [&lnP=-22215.437468976954] = [&R] (((14:[&rate=0.0025503252034531467]87.68442549697518,((((((23:[&rate=0.002760653328227225]8.113436130525201,17:[&rate=0.0032672921190895145]8.113436130525201):[&rate=0.0028935385706467687]12.3781214078968,(((15:[&rate=0.0028030959511009556]9.946735452467468,(19:[&rate=0.002395170536272532]5.50820453323117,(20:[&rate=0.0028622858878024995]4.611320748156018,21:[&rate=0.002120732307794738]4.611320748156018):[&rate=0.0024528590707217227]0. [...]
-tree STATE_9150000 [&lnP=-22209.081352416604] = [&R] ((14:[&rate=0.0021066964238140766]108.0772451143649,((((((8:[&rate=0.0024289039085656806]25.305173891088717,10:[&rate=0.002533864965170093]25.305173891088717):[&rate=0.0024289039085656806]16.46095367922997,((3:[&rate=0.0031125085039530364]14.362339416374592,5:[&rate=0.0018648748587051249]14.362339416374592):[&rate=0.002398702311616662]22.193371433371897,((11:[&rate=0.0030683715328128284]6.223515933341962,12:[&rate=0.0021542057048980845 [...]
-tree STATE_9160000 [&lnP=-22214.148512509382] = [&R] (9:[&rate=0.00307411064883259]121.75182564627985,(33:[&rate=0.002955571738744992]99.03941933184547,(14:[&rate=0.002902340446054532]93.08328404931991,(((((((3:[&rate=0.00305244639503402]12.326923668259592,5:[&rate=0.002642702867140422]12.326923668259592):[&rate=0.002642702867140422]14.853647394065916,((7:[&rate=0.003339062329308591]18.005497553384533,13:[&rate=0.00293024773474708]18.005497553384533):[&rate=0.0030091232630469118]3.758060 [...]
-tree STATE_9170000 [&lnP=-22212.48337403931] = [&R] (9:[&rate=0.002525259019240815]129.9693398647205,((((((((8:[&rate=0.002883620531390552]20.99415096908967,10:[&rate=0.002868894381945892]20.99415096908967):[&rate=0.0028540361161421704]12.756849103841223,((3:[&rate=0.002525259019240815]17.51798174122866,5:[&rate=0.0025547666908935004]17.51798174122866):[&rate=0.0029272737702598565]13.490927566218701,((7:[&rate=0.003830538389200263]17.40752403145226,13:[&rate=0.0028540361161421704]17.4075 [...]
-tree STATE_9180000 [&lnP=-22203.246606814027] = [&R] (9:[&rate=0.002425273203464258]143.9111397033771,((((((((22:[&rate=0.002915645149875]20.60837206492612,(24:[&rate=0.0027836862425035446]13.05371053356859,(((21:[&rate=0.0027836862425035446]2.864944032214449,20:[&rate=0.0028924625734348306]2.864944032214449):[&rate=0.003275757602518083]1.148355945746839,19:[&rate=0.0023608835542230488]4.013299977961288):[&rate=0.003480825726044949]4.637366035064324,15:[&rate=0.0028476861894614148]8.6506 [...]
-tree STATE_9190000 [&lnP=-22221.97286770041] = [&R] (((14:[&rate=0.00243636687989364]90.0094228873705,((((((22:[&rate=0.0026678952990563335]21.555420935032853,(24:[&rate=0.0025377903484714906]13.371788747643713,((19:[&rate=0.0024818637839484066]4.335469000055272,(20:[&rate=0.0022032221069673706]2.8027160054246028,21:[&rate=0.00238873195169639]2.8027160054246028):[&rate=0.0025603268652106565]1.5327529946306693):[&rate=0.002153879615412495]5.039673666576928,15:[&rate=0.002583169373002387]9 [...]
-tree STATE_9200000 [&lnP=-22227.650481904042] = [&R] ((33:[&rate=0.0019819648159827593]122.80980237986802,((((((((3:[&rate=0.002042555419221254]22.549546030696476,5:[&rate=0.001862214839205936]22.549546030696476):[&rate=0.002204421172164659]19.6841688637965,((7:[&rate=0.0020064055868179455]35.42601016126505,13:[&rate=0.0016164549158759053]35.42601016126505):[&rate=0.0027196126833645123]1.4745132586386376,(11:[&rate=0.002291759164851696]8.488491490526362,12:[&rate=0.002042555419221254]8.4 [...]
-tree STATE_9210000 [&lnP=-22222.39101727983] = [&R] ((33:[&rate=0.0023035093580510003]97.657028249744,(14:[&rate=0.0029385029712682077]76.45074092503641,(((((((23:[&rate=0.00266353300729002]13.246557325321675,17:[&rate=0.0025807900272300874]13.246557325321675):[&rate=0.0025410890227930572]12.242540900973353,((24:[&rate=0.002394000034958736]14.210939289029287,(((20:[&rate=0.0031100631049921696]1.3930187962434275,21:[&rate=0.0033281494073077516]1.3930187962434275):[&rate=0.0023940000349587 [...]
-tree STATE_9220000 [&lnP=-22220.514541486406] = [&R] ((33:[&rate=0.002064161961235176]130.3225130130846,(14:[&rate=0.0022455922850166234]109.37166086721967,((((((2:[&rate=0.002315092527601553]30.666813123411092,((1:[&rate=0.002197756399751397]10.09629292157472,6:[&rate=0.0020133647631712646]10.09629292157472):[&rate=0.002315092527601553]16.55034528435437,4:[&rate=0.002602155307945859]26.646638205929094):[&rate=0.0027852156811831283]4.020174917481999):[&rate=0.0025756632851618192]3.471179 [...]
-tree STATE_9230000 [&lnP=-22208.967390729667] = [&R] ((33:[&rate=0.002419435143105413]94.36521989718628,(14:[&rate=0.00246285839754384]85.0616214282127,((((16:[&rate=0.0027982152288712767]37.177952694242975,(((3:[&rate=0.003051439908575526]14.855776290721735,5:[&rate=0.0024760151948719457]14.855776290721735):[&rate=0.0027752058684565803]15.868075154648707,(7:[&rate=0.002922097705486991]23.83198772188421,(13:[&rate=0.002786582330485017]20.88519428713434,(11:[&rate=0.0030831310626628413]6. [...]
-tree STATE_9240000 [&lnP=-22227.125221288505] = [&R] ((33:[&rate=0.0022394594700485236]108.20534801305247,(14:[&rate=0.002268577918061127]97.40283417013418,(((16:[&rate=0.002472268500906004]46.308694901865266,(((8:[&rate=0.0024439516716540377]22.7500253982125,10:[&rate=0.002472268500906004]22.7500253982125):[&rate=0.0026001843176541267]21.63028918322763,(((2:[&rate=0.002310141484535696]32.24362199359054,((1:[&rate=0.0026001843176541267]8.959019843056195,6:[&rate=0.0021146869078544793]8.9 [...]
-tree STATE_9250000 [&lnP=-22217.440595962573] = [&R] ((33:[&rate=0.002417388013170421]104.10331727453772,(((((16:[&rate=0.0023541538019560162]37.74210590747517,(((3:[&rate=0.0025255092539516804]15.484591810816806,5:[&rate=0.002805692920208527]15.484591810816806):[&rate=0.0027076011868598223]19.20265260111349,(((11:[&rate=0.0025567941522946346]5.567425116847587,12:[&rate=0.0030536473305798604]5.567425116847587):[&rate=0.002925630894932252]15.866825548474715,13:[&rate=0.002417388013170421] [...]
-tree STATE_9260000 [&lnP=-22216.175880227715] = [&R] ((33:[&rate=0.002759641743111268]95.01223661803465,(((((((8:[&rate=0.00320411924897658]19.494750077307003,10:[&rate=0.002759641743111268]19.494750077307003):[&rate=0.003301818332545281]11.383050030692925,((3:[&rate=0.003030120510912426]13.975168384708233,5:[&rate=0.0027707964387999984]13.975168384708233):[&rate=0.0029848349720212226]15.264032173572051,(7:[&rate=0.002708851417718647]26.32932424761899,(13:[&rate=0.0028019012020287616]22. [...]
-tree STATE_9270000 [&lnP=-22218.4200069033] = [&R] (((33:[&rate=0.0027144879498802905]83.97814091648362,(((((((3:[&rate=0.003422577502086014]10.738153042705186,5:[&rate=0.0032655764774729727]10.738153042705186):[&rate=0.002204844403151197]20.69150214328429,(8:[&rate=0.003030435803356093]19.441391072670765,10:[&rate=0.002445140156241448]19.441391072670765):[&rate=0.003103398938787921]11.98826411331871):[&rate=0.0029100597907891447]0.9917946298599531,(((11:[&rate=0.0026237114353842893]8.09 [...]
-tree STATE_9280000 [&lnP=-22231.571746209916] = [&R] (((((((((8:[&rate=0.0022592473544587564]26.032562755786934,10:[&rate=0.002066339638446824]26.032562755786934):[&rate=0.0018689319184220653]19.972685397139244,((((11:[&rate=0.002276245132534046]8.339704618391128,12:[&rate=0.0017677451769855823]8.339704618391128):[&rate=0.0018841170131998583]20.9316281346735,13:[&rate=0.0014892572181136059]29.271332753064627):[&rate=0.001913614817821316]5.757055762425281,7:[&rate=0.0022108538233017406]35 [...]
-tree STATE_9290000 [&lnP=-22213.34871580049] = [&R] (((((((((2:[&rate=0.0024716961717633932]26.39456887203672,((1:[&rate=0.003035462476097234]6.716167909312126,6:[&rate=0.0023178338741743514]6.716167909312126):[&rate=0.0029295911715665974]12.339375370207094,4:[&rate=0.0031371361314362547]19.05554327951922):[&rate=0.002302817021071654]7.339025592517501):[&rate=0.0032086603032771147]4.7708373379562055,(18:[&rate=0.002184642831850947]27.459916656841763,(26:[&rate=0.0026593971008232417]17.31 [...]
-tree STATE_9300000 [&lnP=-22204.725474817173] = [&R] (((((((((8:[&rate=0.0034291685003034577]18.934089630630726,10:[&rate=0.003545785156863382]18.934089630630726):[&rate=0.003320034565715494]11.651164621676465,16:[&rate=0.0035056096892372005]30.58525425230719):[&rate=0.0038485285170714863]0.07701894561239087,(((11:[&rate=0.00360956634505655]5.633927337579735,12:[&rate=0.0038831639078692423]5.633927337579735):[&rate=0.00360956634505655]18.235054899055005,(13:[&rate=0.0029909203608456587]1 [...]
-tree STATE_9310000 [&lnP=-22216.642112576435] = [&R] (((((((((2:[&rate=0.0023322109480280375]28.4639341391771,((1:[&rate=0.0024385049056214808]8.912710094001767,6:[&rate=0.0023476941157956443]8.912710094001767):[&rate=0.0025770226655287727]11.747449837547592,4:[&rate=0.0032781417420789886]20.66015993154936):[&rate=0.001827903390253396]7.80377420762774):[&rate=0.0031342029621393356]4.5103662720619795,(18:[&rate=0.0028478403351665325]26.057331581218122,(26:[&rate=0.0023782512301064236]18.7 [...]
-tree STATE_9320000 [&lnP=-22210.661792361516] = [&R] (((14:[&rate=0.0027232369501394493]83.03163373577634,((((((2:[&rate=0.002506883678744501]26.24592568083402,((1:[&rate=0.0031506606778145675]7.148040651055096,6:[&rate=0.0018795922884676484]7.148040651055096):[&rate=0.002754676864634646]14.39117218136362,4:[&rate=0.0031506606778145675]21.539212832418716):[&rate=0.0025971657268258844]4.706712848415304):[&rate=0.002650903001090311]3.8275536032485817,(18:[&rate=0.002908146162036619]24.2421 [...]
-tree STATE_9330000 [&lnP=-22224.72649182173] = [&R] (((((((((22:[&rate=0.002464286759642889]23.20960779724139,(24:[&rate=0.002346550246055414]14.855703239273664,(15:[&rate=0.002821620950917458]8.31546928806745,((19:[&rate=0.0022167466578901277]2.9877530358642943,20:[&rate=0.0022271507168475776]2.9877530358642943):[&rate=0.002528952213071887]1.4289273475782212,21:[&rate=0.0026303145463280877]4.4166803834425155):[&rate=0.0024410812118613005]3.8987889046249338):[&rate=0.0023168716629951343] [...]
-tree STATE_9340000 [&lnP=-22208.654200424397] = [&R] ((((((16:[&rate=0.0027750946218761457]36.08874002925386,(((((24:[&rate=0.0034413031872547557]11.014918771093397,(15:[&rate=0.0023644963848010797]9.119117774006645,(19:[&rate=0.002523427489156717]3.86076532756905,(20:[&rate=0.003134148514494442]2.9638476845121824,21:[&rate=0.0027897090310977477]2.9638476845121824):[&rate=0.0029057513353003966]0.8969176430568675):[&rate=0.0031756241523144242]5.258352446437595):[&rate=0.003108063681677304 [...]
-tree STATE_9350000 [&lnP=-22212.108985028888] = [&R] ((14:[&rate=0.0023978418928700404]88.67879189498706,(33:[&rate=0.0033875108293099417]77.05831822949433,(((((22:[&rate=0.0026197067527262375]24.08089992432603,((23:[&rate=0.00259774924343353]11.566132164595375,17:[&rate=0.002929379269163436]11.566132164595375):[&rate=0.0026625602915147624]11.598475489268074,(24:[&rate=0.002453639625787807]12.871149854307095,(15:[&rate=0.0023978418928700404]7.716055846415683,((21:[&rate=0.002217504395839 [...]
-tree STATE_9360000 [&lnP=-22229.282916980348] = [&R] ((33:[&rate=0.0019238678520451039]132.294136943417,(14:[&rate=0.001864335490265245]130.51674039119487,((((((23:[&rate=0.002312035707087625]10.974814347192034,17:[&rate=0.002417115169518483]10.974814347192034):[&rate=0.0021415645436732283]17.999955896238074,(22:[&rate=0.0022846033996949786]27.38875385525488,(24:[&rate=0.002823665725401858]17.755055929922097,(15:[&rate=0.0022982188785699727]12.770902612411971,(19:[&rate=0.001787119486470 [...]
-tree STATE_9370000 [&lnP=-22216.56140342813] = [&R] (((14:[&rate=0.0031081351929487877]104.27050933155216,(((((((22:[&rate=0.0024876019217832095]25.049671870795336,(((19:[&rate=0.0020976917041413655]2.413809936401218,(20:[&rate=0.002324724769237117]1.5966715133930516,21:[&rate=0.003041109836857773]1.5966715133930516):[&rate=0.0025231465318105257]0.8171384230081664):[&rate=0.0020212160812143106]8.596672186012293,15:[&rate=0.002599769193290953]11.010482122413512):[&rate=0.00168313305691689 [...]
-tree STATE_9380000 [&lnP=-22210.18708276561] = [&R] (((14:[&rate=0.003251538237366739]83.90752237302422,((((((23:[&rate=0.003279152741467701]8.595123791560153,17:[&rate=0.0027145065434423608]8.595123791560153):[&rate=0.002017879422640114]16.460641747149488,(22:[&rate=0.003374411241331525]19.882091634554648,(((21:[&rate=0.00284496029815507]4.4583508537932355,(20:[&rate=0.0031770216494129916]2.615662774246804,19:[&rate=0.0026636543255692613]2.615662774246804):[&rate=0.0030331716615817758]1 [...]
-tree STATE_9390000 [&lnP=-22226.219193832967] = [&R] (9:[&rate=0.0027446764406189915]152.15002580016875,((14:[&rate=0.002146040400404699]101.438744993521,((((((23:[&rate=0.002243178837968299]11.486634686016247,17:[&rate=0.0023244365128932145]11.486634686016247):[&rate=0.0021731074757743176]16.430531075917713,(22:[&rate=0.002284767423610082]26.84485041477724,((((21:[&rate=0.002602239894039203]2.56130083226074,20:[&rate=0.002209724924400194]2.56130083226074):[&rate=0.0018450686120916435]3. [...]
-tree STATE_9400000 [&lnP=-22210.925099374548] = [&R] (9:[&rate=0.0030183088798382577]117.02320302653987,(33:[&rate=0.0025170078766221706]90.09520808599845,(14:[&rate=0.002867543812898706]77.78984610374151,(((((((7:[&rate=0.0032556882533313182]19.377309716011602,13:[&rate=0.003119136308065952]19.377309716011602):[&rate=0.003119136308065952]3.6672413181074504,(11:[&rate=0.0032312227941581695]6.298868449211352,12:[&rate=0.0023627866723016457]6.298868449211352):[&rate=0.0034265391484947323]1 [...]
-tree STATE_9410000 [&lnP=-22213.389226749026] = [&R] ((9:[&rate=0.0029458777211516093]113.54252739035968,14:[&rate=0.0017487433872962928]113.54252739035968):[&rate=0.002084867202438837]3.0715679401158695,(((((16:[&rate=0.002211957913350113]41.98996005415899,((((7:[&rate=0.0029458777211516093]23.7035741850454,13:[&rate=0.002104839091049858]23.7035741850454):[&rate=0.002084867202438837]5.512188673621409,(11:[&rate=0.002462751911783879]8.599178091990654,12:[&rate=0.002276437142373687]8.5991 [...]
-tree STATE_9420000 [&lnP=-22211.822806291206] = [&R] ((14:[&rate=0.0023690250645405173]107.71567107417414,(33:[&rate=0.0021271103752242924]98.630669222419,((((((((7:[&rate=0.003065741636582416]24.586451892028293,13:[&rate=0.001964319881708123]24.586451892028293):[&rate=0.002791765851368705]3.360165768256415,(11:[&rate=0.002537241273015212]7.873666879814538,12:[&rate=0.0020529284269524706]7.873666879814538):[&rate=0.002214038790557458]20.072950780470173):[&rate=0.00255647503675902]8.63032 [...]
-tree STATE_9430000 [&lnP=-22205.6820728498] = [&R] ((33:[&rate=0.0027568837215247843]84.25699758033082,(((((((8:[&rate=0.0038508728917407854]15.274455136298366,10:[&rate=0.003428555448590832]15.274455136298366):[&rate=0.0029395488213942345]12.041105855559751,((3:[&rate=0.00289130947620504]13.146054938920116,5:[&rate=0.0028404352592392447]13.146054938920116):[&rate=0.0035028589917629797]12.468015088394715,((7:[&rate=0.0038107200086468424]17.71094611835346,13:[&rate=0.002693878451849637]17 [...]
-tree STATE_9440000 [&lnP=-22208.222565968463] = [&R] ((33:[&rate=0.002379953478093872]90.26144486225674,((((16:[&rate=0.002211733581588789]39.52953751080994,(((((24:[&rate=0.002236481799083538]13.66002297400601,((19:[&rate=0.0023944223114972414]3.248514112230648,(20:[&rate=0.0024992223116471935]2.4872946042141764,21:[&rate=0.0025840638316617153]2.4872946042141764):[&rate=0.0023944223114972414]0.7612195080164716):[&rate=0.0023944223114972414]7.119327950407335,15:[&rate=0.00240847666399225 [...]
-tree STATE_9450000 [&lnP=-22218.30865015119] = [&R] (9:[&rate=0.002317643915400798]134.34114155637522,((((16:[&rate=0.002916764747444004]38.52173995864789,(((((24:[&rate=0.0031021695548180735]12.64818007250894,(((21:[&rate=0.0027911238337883226]2.14124164728164,20:[&rate=0.0032060348483920567]2.14124164728164):[&rate=0.0032644972808878042]1.089871201791515,19:[&rate=0.0024776306610102498]3.231112849073155):[&rate=0.0036936177143599798]7.5045540310542425,15:[&rate=0.0027572634483020004]10 [...]
-tree STATE_9460000 [&lnP=-22227.84612368105] = [&R] (9:[&rate=0.002178121385063884]196.88903652952746,(33:[&rate=0.0018985679454184253]149.41499956313493,(((((((22:[&rate=0.0019492141614577765]29.46593127724998,(23:[&rate=0.0021887796887606554]12.116543006516887,17:[&rate=0.002178121385063884]12.116543006516887):[&rate=0.001983320216519214]17.349388270733094):[&rate=0.0023707660524138687]0.09610739544489633,(24:[&rate=0.0022694572443267102]18.75599889893219,((19:[&rate=0.0019608640295519 [...]
-tree STATE_9470000 [&lnP=-22215.610734588834] = [&R] (9:[&rate=0.0020445883356274615]149.42898429811288,((((((((22:[&rate=0.002706801589721789]20.19139581786503,(23:[&rate=0.002684845475435731]10.574059519736364,17:[&rate=0.002616795124679017]10.574059519736364):[&rate=0.003326284346698596]9.617336298128665):[&rate=0.0021315548611581464]1.1682497797082725,((15:[&rate=0.002982462572747026]8.816252470255995,(21:[&rate=0.0024912543083235638]3.3237508331995778,(19:[&rate=0.00321567886423166] [...]
-tree STATE_9480000 [&lnP=-22232.612746070274] = [&R] (9:[&rate=0.002420685942780829]146.29294288171272,(((((((((23:[&rate=0.002263736473178004]11.044536991393912,17:[&rate=0.0025214124177113037]11.044536991393912):[&rate=0.002301175357978278]16.25670004949763,((15:[&rate=0.0025703501627827724]11.549393593676982,((19:[&rate=0.0026325034325117534]5.279860650492188,20:[&rate=0.0017928598104783725]5.279860650492188):[&rate=0.0023487901919367156]1.058530494396373,21:[&rate=0.00195190865418344 [...]
-tree STATE_9490000 [&lnP=-22222.872587871425] = [&R] (9:[&rate=0.00308018464090329]119.9536900618501,((((((((23:[&rate=0.002636313448261763]11.171595735342416,17:[&rate=0.0029520429861988086]11.171595735342416):[&rate=0.0027513657919177635]10.749143951190197,(22:[&rate=0.002995876546037183]20.81670100551639,((((21:[&rate=0.0034365220665126717]3.3182410440838104,20:[&rate=0.0027289828376172217]3.3182410440838104):[&rate=0.002917273681650105]0.7256283957980627,19:[&rate=0.00296321742614363 [...]
-tree STATE_9500000 [&lnP=-22213.45436055848] = [&R] (9:[&rate=0.0023644844734347016]155.15914804971072,((((((((23:[&rate=0.002862976022934423]11.625306692553115,17:[&rate=0.0024590011129566034]11.625306692553115):[&rate=0.0022898820462188365]12.185129959209283,(22:[&rate=0.0033337559859007455]22.706490197007295,((((20:[&rate=0.0029166914779635853]2.0050633091156493,19:[&rate=0.003132103508259952]2.0050633091156493):[&rate=0.0025051371485508857]0.240172294503866,21:[&rate=0.00303328174536 [...]
-tree STATE_9510000 [&lnP=-22222.36471378678] = [&R] (((33:[&rate=0.0026767905599524976]81.15841963048751,((((((22:[&rate=0.002588994345288023]25.7421247239632,((23:[&rate=0.002376343577817936]9.939059378668157,17:[&rate=0.0030804154684807997]9.939059378668157):[&rate=0.002425426843782287]13.451422197189205,((((21:[&rate=0.0025063556119900117]2.022883706578434,20:[&rate=0.002588994345288023]2.022883706578434):[&rate=0.002864873333157292]1.020932802100822,19:[&rate=0.002555527308983981]3.0 [...]
-tree STATE_9520000 [&lnP=-22207.58723610796] = [&R] ((33:[&rate=0.0025945276363224176]104.58104449981367,((((((((3:[&rate=0.002951002931165766]13.704924299562032,5:[&rate=0.0026422058249057413]13.704924299562032):[&rate=0.002627018530700964]16.51663220023206,((13:[&rate=0.0025769410971167722]19.127417258993557,7:[&rate=0.0030900841832924636]19.127417258993557):[&rate=0.0025769410971167722]4.692736395335217,(11:[&rate=0.0030443231782693167]5.500215272026283,12:[&rate=0.0025582002937541426 [...]
-tree STATE_9530000 [&lnP=-22214.68157666038] = [&R] ((33:[&rate=0.0025056057640846464]106.87109170353546,(((((((8:[&rate=0.0031245052247868745]20.74383685643456,10:[&rate=0.002960003407644572]20.74383685643456):[&rate=0.002397053917674575]13.367923533044301,((3:[&rate=0.0030265859702116515]13.358888102764954,5:[&rate=0.002523766497841928]13.358888102764954):[&rate=0.0024220852319782084]19.15529635857514,((13:[&rate=0.002523766497841928]21.255205539807314,7:[&rate=0.002944410834404334]21. [...]
-tree STATE_9540000 [&lnP=-22203.169867839686] = [&R] (((14:[&rate=0.0030236515786498056]78.17934525889362,33:[&rate=0.0035704156736513157]78.17934525889362):[&rate=0.0022499941245488074]6.834089610645421,((((16:[&rate=0.002525599411328504]35.142793581164746,((8:[&rate=0.002568513032883189]24.230221608786728,10:[&rate=0.0024790997542056365]24.230221608786728):[&rate=0.0034325689631021956]10.523194737082022,((3:[&rate=0.0033953607690295666]11.63760217862395,5:[&rate=0.002967280362247403]11 [...]
-tree STATE_9550000 [&lnP=-22231.05067217407] = [&R] (((14:[&rate=0.002374716741758546]105.31094934468528,((((16:[&rate=0.0021103665173471233]44.33549974876093,(((23:[&rate=0.0021958227120445336]12.534157613761602,17:[&rate=0.002284973300651487]12.534157613761602):[&rate=0.002260474714351359]14.524028238879795,(22:[&rate=0.0024797189622943255]24.747685548338502,(24:[&rate=0.0025292552787270508]17.00075506234311,(15:[&rate=0.0024185488651692214]12.451029086387916,((21:[&rate=0.002338719430 [...]
-tree STATE_9560000 [&lnP=-22215.458161635] = [&R] ((((((16:[&rate=0.002895049679463293]37.07183977777085,(((((13:[&rate=0.002638028746055711]17.614243941430793,7:[&rate=0.003544184719860038]17.614243941430793):[&rate=0.002540185955759645]4.774559395040363,(11:[&rate=0.002356340669500665]6.916807681147415,12:[&rate=0.002485761208588473]6.916807681147415):[&rate=0.003156568907773215]15.471995655323742):[&rate=0.0031805875446148236]5.720527256833741,(3:[&rate=0.0029787257629303255]11.681391 [...]
-tree STATE_9570000 [&lnP=-22218.55480429211] = [&R] (((14:[&rate=0.0028360425411090833]88.37930662973103,((((((22:[&rate=0.0029652949682304535]20.355870827548085,((((20:[&rate=0.003285863000917868]3.0074839662666037,21:[&rate=0.0026401157007935106]3.0074839662666037):[&rate=0.0031252690523559065]1.7174588709270675,19:[&rate=0.0027241228833553106]4.724942837193671):[&rate=0.002913721936534945]6.7316021944156255,15:[&rate=0.0027241228833553106]11.456545031609297):[&rate=0.00297548100353932 [...]
-tree STATE_9580000 [&lnP=-22208.24997679324] = [&R] (((14:[&rate=0.00314998563529749]71.59423637713768,((((((2:[&rate=0.0028768901008593556]21.719590473904567,((1:[&rate=0.003228362206525344]5.826118210675664,6:[&rate=0.0033145037858449515]5.826118210675664):[&rate=0.002791438624476055]10.497659132497684,4:[&rate=0.004269115378895567]16.323777343173347):[&rate=0.003100889278244344]5.39581313073122):[&rate=0.0023740332413360807]6.026499520126617,(18:[&rate=0.0030307239487040363]23.8047464 [...]
-tree STATE_9590000 [&lnP=-22219.167060545653] = [&R] (((((((16:[&rate=0.0020604900542906435]41.48158529388981,((8:[&rate=0.0027059789134349166]22.87629663575679,10:[&rate=0.0028330674349112597]22.87629663575679):[&rate=0.0025910588166757845]16.42634154503052,((3:[&rate=0.002264184226026673]13.242705008512766,5:[&rate=0.002673710390893983]13.242705008512766):[&rate=0.002401959080143837]22.908914450163515,((13:[&rate=0.0019741290816360684]24.666592032311296,(11:[&rate=0.0027834367838114804 [...]
-tree STATE_9600000 [&lnP=-22218.53017912463] = [&R] (((14:[&rate=0.0026792269015605548]84.47205160558678,((((16:[&rate=0.002264394157458215]40.43831913703351,((8:[&rate=0.0033943621153445136]19.300252526761177,10:[&rate=0.0029976532834249674]19.300252526761177):[&rate=0.0021975953553854486]19.2682053641986,((3:[&rate=0.0027195604129772745]18.100716037112033,5:[&rate=0.002447360475724779]18.100716037112033):[&rate=0.0034886866389787375]15.54757319719214,((11:[&rate=0.0023226442114006435]7 [...]
-tree STATE_9610000 [&lnP=-22204.116632751276] = [&R] ((33:[&rate=0.002459074987799836]103.31446464289279,(14:[&rate=0.0029225175408927736]88.43419322574428,((((16:[&rate=0.00267837734714656]34.0382172346239,(((3:[&rate=0.003229669359723626]13.552188628577,5:[&rate=0.0028424753266778563]13.552188628577):[&rate=0.0031338788709869775]14.735628238642327,((11:[&rate=0.0031569367212082606]4.965457128043492,12:[&rate=0.0032047608134970974]4.965457128043492):[&rate=0.002882436763670249]18.713912 [...]
-tree STATE_9620000 [&lnP=-22215.703351477892] = [&R] ((33:[&rate=0.002479861678716168]99.5080706254101,(((((((8:[&rate=0.0030437699974343157]19.895994279603038,10:[&rate=0.002791481410884098]19.895994279603038):[&rate=0.002925438938879872]14.998479804025848,((3:[&rate=0.00280039753225744]14.947096577862512,5:[&rate=0.0026412014829814492]14.947096577862512):[&rate=0.0027197540259222336]17.325569081196754,((11:[&rate=0.0028274145890648346]8.5097485702706,12:[&rate=0.002378233753375702]8.50 [...]
-tree STATE_9630000 [&lnP=-22224.58636796916] = [&R] ((33:[&rate=0.002728606082204256]94.4859871666213,(14:[&rate=0.0027943385583423736]87.90003615293176,((((((2:[&rate=0.0026643643618337438]27.099584476436647,((1:[&rate=0.0028147180056691573]7.313029914799576,6:[&rate=0.0028147180056691573]7.313029914799576):[&rate=0.0028829087213524734]15.314870289392381,4:[&rate=0.0029275628761177373]22.627900204191956):[&rate=0.0027943385583423736]4.471684272244691):[&rate=0.002728606082204256]6.52453 [...]
-tree STATE_9640000 [&lnP=-22204.807068155755] = [&R] ((33:[&rate=0.0032735280090875718]75.14015903014081,(14:[&rate=0.0030862016934371447]66.25152649941717,((((((2:[&rate=0.00395620321504004]21.157026638840765,((1:[&rate=0.0030229793986193665]5.522880033518946,6:[&rate=0.003414574017264502]5.522880033518946):[&rate=0.0036430588807290607]10.87421993030954,4:[&rate=0.004125322397051395]16.397099963828484):[&rate=0.0030554058590460073]4.759926675012281):[&rate=0.004300739169555857]3.6907337 [...]
-tree STATE_9650000 [&lnP=-22216.467166091858] = [&R] ((33:[&rate=0.002110031878909994]104.24062673898497,(14:[&rate=0.0028703525489748426]92.89182511565156,((((((3:[&rate=0.0023977174609908425]14.76284339695465,5:[&rate=0.0025964280378635058]14.76284339695465):[&rate=0.0023527936252925063]19.58003451707708,((11:[&rate=0.0031789684563618094]6.424818850812573,12:[&rate=0.0026906602161170957]6.424818850812573):[&rate=0.0024397045568246216]20.623011492874888,(7:[&rate=0.002781007299855251]22 [...]
-tree STATE_9660000 [&lnP=-22218.416810707986] = [&R] ((33:[&rate=0.002221586573634766]108.48009053710597,((((((((3:[&rate=0.0018041111278358111]17.296921307157938,5:[&rate=0.0018041111278358111]17.296921307157938):[&rate=0.002710933000444466]17.209762207896148,((13:[&rate=0.0018647585776765674]22.787887793767297,(11:[&rate=0.0024176210948003334]7.3610456598935645,12:[&rate=0.0021726339798926273]7.3610456598935645):[&rate=0.002963591903403454]15.426842133873732):[&rate=0.00277997549257562 [...]
-tree STATE_9670000 [&lnP=-22211.680403188235] = [&R] (((14:[&rate=0.002733823064956763]84.2598000260353,((((16:[&rate=0.0025340277426188383]37.63029464867548,(((13:[&rate=0.002094540134401595]24.087613714646103,7:[&rate=0.0025192008520237112]24.087613714646103):[&rate=0.0024127388551419523]5.195802359674246,(11:[&rate=0.002785528607320204]6.12219693110861,12:[&rate=0.002380522713011795]6.12219693110861):[&rate=0.0025192008520237112]23.16121914321174):[&rate=0.0023967816235675263]5.821189 [...]
-tree STATE_9680000 [&lnP=-22203.65360825608] = [&R] ((((((((((3:[&rate=0.004306016843197694]11.115033199534594,5:[&rate=0.002781954441128845]11.115033199534594):[&rate=0.0029282043360902045]15.43780549909306,((13:[&rate=0.002781954441128845]19.37681287450903,7:[&rate=0.0038298017534664115]19.37681287450903):[&rate=0.003537324336150969]2.9788694005672056,(11:[&rate=0.0032409048019733542]5.448684783301644,12:[&rate=0.0031997403490996853]5.448684783301644):[&rate=0.0031385438887445325]16.90 [...]
-tree STATE_9690000 [&lnP=-22220.35908056464] = [&R] (((((((((2:[&rate=0.0027446694092932785]26.49419572062766,((1:[&rate=0.0022333386324528467]8.238937554801678,6:[&rate=0.002459365929205855]8.238937554801678):[&rate=0.002654412140797742]13.672992722034953,4:[&rate=0.0027828120006577074]21.91193027683663):[&rate=0.0026961837869865857]4.582265443791027):[&rate=0.0025293954752687617]8.319666901713774,(18:[&rate=0.0027446694092932785]29.94689866010838,(26:[&rate=0.002459365929205855]17.9255 [...]
-tree STATE_9700000 [&lnP=-22215.910994605194] = [&R] (((((((16:[&rate=0.003464483177872294]31.30111812486868,((8:[&rate=0.0032543899573846532]18.7361276909693,10:[&rate=0.0036423258703598216]18.7361276909693):[&rate=0.0032962041818536225]11.669427141232703,((3:[&rate=0.0028247850496494727]11.470385613470475,5:[&rate=0.0031155391346673984]11.470385613470475):[&rate=0.0032543899573846532]17.24463211657084,((13:[&rate=0.0029593143911706985]19.15313236673725,(11:[&rate=0.0030105610278849558] [...]
-tree STATE_9710000 [&lnP=-22232.2555784541] = [&R] (((33:[&rate=0.002225144648307028]105.658036118483,14:[&rate=0.002095313917349709]105.658036118483):[&rate=0.0019845071843181622]12.82735969760951,((((16:[&rate=0.0020746636418775694]45.88409620205288,((3:[&rate=0.0021303093826551046]17.120321785380224,5:[&rate=0.0020887546134051482]17.120321785380224):[&rate=0.002151139054316355]27.167584691583368,(((13:[&rate=0.0023569651332265634]30.04196864881434,(11:[&rate=0.0023569651332265634]10.5 [...]
-tree STATE_9720000 [&lnP=-22220.45802699337] = [&R] (((14:[&rate=0.002415416343210429]112.33997870974054,((((((8:[&rate=0.0022377088864146415]28.130946931860407,10:[&rate=0.0020685748683500886]28.130946931860407):[&rate=0.002715746637651252]16.905478825006043,16:[&rate=0.0019070681214750497]45.03642575686645):[&rate=0.0018195687555424241]3.46266054094761,(((13:[&rate=0.0018653935453177275]27.10924522609286,7:[&rate=0.002415416343210429]27.10924522609286):[&rate=0.0018653935453177275]6.27 [...]
-tree STATE_9730000 [&lnP=-22204.97458253403] = [&R] (((14:[&rate=0.0025044586522480605]98.91218328112429,((((((8:[&rate=0.0031069357668017505]23.001763346413224,10:[&rate=0.0022139982402923698]23.001763346413224):[&rate=0.0024412536640160912]17.826808456131037,16:[&rate=0.002320878102177794]40.82857180254426):[&rate=0.002032806133179442]0.9478001745844935,((3:[&rate=0.0024259138450363925]16.132709295600353,5:[&rate=0.0023059256618611417]16.132709295600353):[&rate=0.001897201727669204]21. [...]
-tree STATE_9740000 [&lnP=-22234.145647708545] = [&R] ((((((((((3:[&rate=0.0024236218912708496]14.806675070277471,5:[&rate=0.0024876849479474102]14.806675070277471):[&rate=0.002788050050618402]19.329418423617483,((13:[&rate=0.002708900465492461]21.453494585860216,(11:[&rate=0.0024578183243417714]5.94638531781963,12:[&rate=0.0023817798830906623]5.94638531781963):[&rate=0.0026587290504998303]15.507109268040587):[&rate=0.0022560651777209792]5.633801586958384,7:[&rate=0.0023969227479734333]27 [...]
-tree STATE_9750000 [&lnP=-22213.734014321257] = [&R] ((((((((((3:[&rate=0.003064581845696724]14.13176003218846,5:[&rate=0.002811523387359737]14.13176003218846):[&rate=0.003501444597550382]13.47342091576252,((13:[&rate=0.002837123556256475]16.62195213378361,7:[&rate=0.0037340471699273355]16.62195213378361):[&rate=0.0037340471699273355]3.0809743647286716,(11:[&rate=0.0027177526659615163]5.910548893722829,12:[&rate=0.0030153905208997423]5.910548893722829):[&rate=0.0035659793523448993]13.792 [...]
-tree STATE_9760000 [&lnP=-22219.36197956354] = [&R] (33:[&rate=0.001994004692466886]107.46143224063854,((14:[&rate=0.003257046215601961]82.78194341230318,(((((((3:[&rate=0.0032971972535926646]13.975348758001836,5:[&rate=0.0024422963213159062]13.975348758001836):[&rate=0.0026859850556596376]20.419641069076228,((13:[&rate=0.002097116117048628]22.855096243433326,7:[&rate=0.002838737259604784]22.855096243433326):[&rate=0.002422020312048195]3.5409871604040895,(11:[&rate=0.0034464137164678596] [...]
-tree STATE_9770000 [&lnP=-22230.75430996806] = [&R] (9:[&rate=0.0027074731415443276]135.3246191617482,((14:[&rate=0.0027693480395794097]89.25900804933161,((((((3:[&rate=0.003112738255547875]14.974144702305443,5:[&rate=0.0025976537414805203]14.974144702305443):[&rate=0.0024183896655408377]19.80634973501879,((13:[&rate=0.002439779759000586]23.24490258596446,(11:[&rate=0.002787647193964902]7.039783585155312,12:[&rate=0.0025770852185424374]7.039783585155312):[&rate=0.002505349851740427]16.20 [...]
-tree STATE_9780000 [&lnP=-22218.3913246327] = [&R] (9:[&rate=0.002161150657311112]149.56145137368287,((14:[&rate=0.0033334873510742556]79.22211316214464,33:[&rate=0.0029423373256605213]79.22211316214464):[&rate=0.002613812654533438]9.196190134604919,(((((((3:[&rate=0.0031754624475509034]12.893718221699073,5:[&rate=0.0027752410187759377]12.893718221699073):[&rate=0.0025072573453253097]20.050701663026558,((13:[&rate=0.0025072573453253097]18.79725184375986,7:[&rate=0.002978976805263941]18.7 [...]
-tree STATE_9790000 [&lnP=-22210.204110779072] = [&R] (9:[&rate=0.002721242342357765]126.29610179698084,((14:[&rate=0.00321934628902694]82.66425935891391,(((((((23:[&rate=0.003076450774073442]9.962252345987366,17:[&rate=0.00321934628902694]9.962252345987366):[&rate=0.0025739317794708045]12.782029400033895,((((19:[&rate=0.0027429880524884784]5.463753164073032,(21:[&rate=0.002400775595747396]3.727037440316079,20:[&rate=0.0026520232821239786]3.727037440316079):[&rate=0.002865043470809993]1.7 [...]
-tree STATE_9800000 [&lnP=-22217.516622515617] = [&R] (9:[&rate=0.002190192528373154]190.2368105425783,((14:[&rate=0.0021255219476598456]125.80095741434289,(((((((23:[&rate=0.0017146261297263546]15.06653747972754,17:[&rate=0.0019476234896455768]15.06653747972754):[&rate=0.0019091620120791392]16.349730085042815,(22:[&rate=0.002110449603301129]30.067556246317736,(((19:[&rate=0.0018037329361723935]7.299096841633808,(20:[&rate=0.001642986838446713]4.229188452448629,21:[&rate=0.001599657017540 [...]
-tree STATE_9810000 [&lnP=-22209.089586590108] = [&R] (9:[&rate=0.003217227665802157]133.8034337158831,(33:[&rate=0.002465793382362821]109.14387709746099,(14:[&rate=0.0026154929835003602]92.44910988481584,((((((23:[&rate=0.0028164704519346435]10.49343803834917,17:[&rate=0.0024460504558413555]10.49343803834917):[&rate=0.0025694157278825075]13.593492178337614,(22:[&rate=0.0026154929835003602]23.274976432341695,(((19:[&rate=0.0034296215051152837]2.9655267189912875,(21:[&rate=0.00332569228125 [...]
-tree STATE_9820000 [&lnP=-22218.988977454672] = [&R] (9:[&rate=0.0029220943171095345]136.238025025405,(((((((((13:[&rate=0.0030308299113460052]20.372917010573797,7:[&rate=0.003276219749107553]20.372917010573797):[&rate=0.002831891983461568]6.247440719682594,(11:[&rate=0.0030308299113460052]5.862767631796472,12:[&rate=0.003252658751611299]5.862767631796472):[&rate=0.0028999451056594475]20.757590098459918):[&rate=0.003229469370755452]4.885644743811813,(3:[&rate=0.002449334314893972]15.0170 [...]
-tree STATE_9830000 [&lnP=-22213.95590961945] = [&R] (9:[&rate=0.0030121449975628106]127.42586375094702,((((((16:[&rate=0.002941208606197141]33.1303854075125,((8:[&rate=0.003345203967305672]17.71079855357358,10:[&rate=0.0032656680466360347]17.71079855357358):[&rate=0.0029160283739554666]13.183084830462885,((3:[&rate=0.0029890434481762043]9.869906891438623,5:[&rate=0.0032112267507447023]9.869906891438623):[&rate=0.0028758113449161554]17.947756446703963,((13:[&rate=0.003641563554244809]19.5 [...]
-tree STATE_9840000 [&lnP=-22222.99181162054] = [&R] (9:[&rate=0.0023755719378007775]154.47676805947478,(33:[&rate=0.0022583941839042507]103.64316090162772,(14:[&rate=0.0024412657931782485]98.02065474818005,((((16:[&rate=0.0021639097562695967]42.03724184533014,(((2:[&rate=0.0024948700919973366]31.183863332629286,((1:[&rate=0.002287407451017796]7.8499166773070685,6:[&rate=0.0021428337811026017]7.8499166773070685):[&rate=0.0023606849909194143]18.945816447563615,4:[&rate=0.002546906850158189 [...]
-tree STATE_9850000 [&lnP=-22208.40336336499] = [&R] (9:[&rate=0.0034027229269203148]105.36430085011904,(33:[&rate=0.0038335347621747924]69.70454104506346,(((((((8:[&rate=0.005031863998879503]14.336757239821493,10:[&rate=0.00453904445384169]14.336757239821493):[&rate=0.0032970134150438262]8.605467334560418,((3:[&rate=0.004815616535045979]10.366758072061446,5:[&rate=0.003176600146010413]10.366758072061446):[&rate=0.004718447375352977]10.03992011333324,((13:[&rate=0.0033513171193831496]14.6 [...]
-tree STATE_9860000 [&lnP=-22201.267183981618] = [&R] (9:[&rate=0.004358119937361779]93.71593737533276,((14:[&rate=0.0046479489427474156]65.7010629618403,33:[&rate=0.003395381687202707]65.7010629618403):[&rate=0.004184837588247777]3.8132044975642714,((((((2:[&rate=0.004407676798482376]18.705543517122702,((1:[&rate=0.004407676798482376]5.8768761798010285,6:[&rate=0.0034515484646719056]5.8768761798010285):[&rate=0.003395381687202707]9.200902090161016,4:[&rate=0.004072987972723483]15.0777782 [...]
-tree STATE_9870000 [&lnP=-22223.859895082405] = [&R] (9:[&rate=0.002627189774830023]133.28442944091358,((14:[&rate=0.0026438184730732317]82.13800996543924,((((((3:[&rate=0.0026415973460976417]14.72542892922352,5:[&rate=0.0026678915640177695]14.72542892922352):[&rate=0.0025981024410013536]18.351381204340363,((13:[&rate=0.002648446674462744]25.272323623808845,7:[&rate=0.0026415973460976417]25.272323623808845):[&rate=0.002613734731463797]2.8128056711043854,(11:[&rate=0.002619459926729262]8. [...]
-tree STATE_9880000 [&lnP=-22217.943426928272] = [&R] (9:[&rate=0.0037650287397870716]109.546015455785,((14:[&rate=0.0035937402658194452]74.0929977654459,33:[&rate=0.002897679439781653]74.0929977654459):[&rate=0.002280249292611101]11.119348493227477,(((((((3:[&rate=0.003040449218582246]11.020741751415587,5:[&rate=0.0034368451495991473]11.020741751415587):[&rate=0.0032530633577360544]17.88688350790298,((13:[&rate=0.0027098029591930764]17.200235930750768,7:[&rate=0.003810930008555758]17.200 [...]
-tree STATE_9890000 [&lnP=-22218.179268144704] = [&R] (9:[&rate=0.0028469025120512344]149.5094779710239,(((((((((3:[&rate=0.002502308627343771]16.016894859407863,5:[&rate=0.0025286637623716758]16.016894859407863):[&rate=0.002475585208675889]17.162963946232452,((13:[&rate=0.0020111152154284402]22.026052042496556,7:[&rate=0.003033146738500942]22.026052042496556):[&rate=0.002434347133840578]3.1783947224628513,(11:[&rate=0.003266299505732925]7.382731838491287,12:[&rate=0.0020111152154284402]7 [...]
-tree STATE_9900000 [&lnP=-22219.490353801433] = [&R] (9:[&rate=0.0029512624443074993]116.02139332185357,((((((((2:[&rate=0.003059489619543617]23.300004655405807,((1:[&rate=0.002940302047338127]7.695463560305715,6:[&rate=0.003045099285415294]7.695463560305715):[&rate=0.002940302047338127]14.295334026545625,4:[&rate=0.0031277104971300946]21.99079758685134):[&rate=0.0030875685123456643]1.3092070685544677):[&rate=0.003029347371851152]4.983784118572018,(18:[&rate=0.003057348851031216]22.77342 [...]
-tree STATE_9910000 [&lnP=-22214.203980078746] = [&R] (9:[&rate=0.0020534407953413914]163.46915755911382,(14:[&rate=0.002415458348231326]109.16164650838711,(((((((2:[&rate=0.002726687797393056]29.80112724833335,((1:[&rate=0.0031006002275543345]5.817536117373792,6:[&rate=0.0027790360613620868]5.817536117373792):[&rate=0.0021864853195702207]19.58397024798566,4:[&rate=0.0029405422890800615]25.401506365359452):[&rate=0.0028858052529739655]4.399620882973899):[&rate=0.0027434615202579045]4.2250 [...]
-tree STATE_9920000 [&lnP=-22228.00909128526] = [&R] (9:[&rate=0.0024288676218273677]170.8182540871745,(33:[&rate=0.002327247491494147]131.25276281840536,((((16:[&rate=0.0017721089236943063]50.35821277617777,((((2:[&rate=0.002607714635044862]32.3109235644515,((1:[&rate=0.0029843892284489187]9.01333757671528,6:[&rate=0.0024073417730874364]9.01333757671528):[&rate=0.002168292035000087]18.370643823852316,4:[&rate=0.002639437656976588]27.383981400567595):[&rate=0.002236489085563207]4.92694216 [...]
-tree STATE_9930000 [&lnP=-22215.362249031645] = [&R] (9:[&rate=0.002302347264615616]157.03930090065325,(33:[&rate=0.001995201997507259]115.9352167502231,(((((((2:[&rate=0.0025252560817784287]30.889286807590622,((1:[&rate=0.0023163145654459876]9.861490303321203,6:[&rate=0.002035783523577882]9.861490303321203):[&rate=0.0020994710172306075]16.161948371338312,4:[&rate=0.0025252560817784287]26.023438674659513):[&rate=0.0021488335279115844]4.865848132931109):[&rate=0.0019027657397488226]8.8083 [...]
-tree STATE_9940000 [&lnP=-22220.231842646688] = [&R] (9:[&rate=0.002460169114665668]163.64006380544086,(33:[&rate=0.0022910063258915164]131.7936185334673,((((16:[&rate=0.002363813553753481]45.57453535773513,((((2:[&rate=0.0021679301576811557]30.518811991419714,((1:[&rate=0.0018784296931253952]11.59461728885011,6:[&rate=0.0019728871218199803]11.59461728885011):[&rate=0.002315648631582223]14.257002238018686,4:[&rate=0.0028755133520072685]25.851619526868795):[&rate=0.0030235806530259837]4.6 [...]
-tree STATE_9950000 [&lnP=-22205.235538286135] = [&R] (9:[&rate=0.002683636639318472]108.73515186073847,((((((((2:[&rate=0.0037820668574169627]22.21280993595945,((1:[&rate=0.002850974227203364]6.128305857972671,6:[&rate=0.002940973686685057]6.128305857972671):[&rate=0.003193166604635256]11.969584745983447,4:[&rate=0.0045693508826340525]18.097890603956117):[&rate=0.003026835202476196]4.114919332003332):[&rate=0.0028196232398321865]2.756230392810881,(18:[&rate=0.002850974227203364]21.849266 [...]
-tree STATE_9960000 [&lnP=-22220.8952449779] = [&R] (9:[&rate=0.0025883023290778654]158.78502026811148,(33:[&rate=0.0026815948829269744]109.02751162034752,(((((((2:[&rate=0.002372615586071414]31.186736710771207,((1:[&rate=0.0024609750757198083]8.414197851699543,6:[&rate=0.0023014228752308765]8.414197851699543):[&rate=0.0021483124812696425]18.90289401263113,4:[&rate=0.002652349897398436]27.31709186433067):[&rate=0.002423416879530433]3.8696448464405364):[&rate=0.0027188937600602816]4.850046 [...]
-tree STATE_9970000 [&lnP=-22210.5570320945] = [&R] (9:[&rate=0.0023612355328108403]152.4340780283371,(33:[&rate=0.0018742450163896005]115.64890853177076,(14:[&rate=0.003483339118100866]84.72528801358642,((((((((13:[&rate=0.00204822959766543]21.305508764865397,(11:[&rate=0.0026329022362878186]7.004390634879475,12:[&rate=0.0020865294342551706]7.004390634879475):[&rate=0.003201877365174749]14.301118129985923):[&rate=0.0028215682351651803]4.445451319253863,7:[&rate=0.0027053201272072597]25.7 [...]
-tree STATE_9980000 [&lnP=-22207.73231212401] = [&R] (9:[&rate=0.0033290316266420617]95.46508931975383,(33:[&rate=0.0034080797740816795]74.46812714810872,(14:[&rate=0.004434154352837692]66.1543829997321,(((((((13:[&rate=0.003552834267797713]14.858058973488497,7:[&rate=0.004434154352837692]14.858058973488497):[&rate=0.0030228646561968]4.454809376552426,(11:[&rate=0.004909111497290881]4.649714925776727,12:[&rate=0.004136372849582633]4.649714925776727):[&rate=0.0036588518291295925]14.6631534 [...]
-tree STATE_9990000 [&lnP=-22224.619817633044] = [&R] (9:[&rate=0.0019161219287265573]161.71816739913197,(33:[&rate=0.002211078892328373]103.86687701605587,(14:[&rate=0.0028664974976002604]87.1103650989621,(((((((2:[&rate=0.002560955494388655]32.54399828246454,((1:[&rate=0.002704940821542097]7.104260341720765,6:[&rate=0.00245879799546835]7.104260341720765):[&rate=0.0020220177495094294]19.84424189875293,4:[&rate=0.002663915434189892]26.948502240473694):[&rate=0.0028475757748612713]5.595496 [...]
-tree STATE_10000000 [&lnP=-22211.16354300554] = [&R] (9:[&rate=0.002872983148149406]133.49453952847972,((((((((2:[&rate=0.0029905045412702046]24.501929635488477,((1:[&rate=0.0029268057252540337]7.181524544620856,6:[&rate=0.0024407291542424873]7.181524544620856):[&rate=0.002768361563097923]13.91237753747653,4:[&rate=0.0029905045412702046]21.093902082097387):[&rate=0.002703316878483909]3.40802755339109):[&rate=0.002768361563097923]7.13691806722149,(18:[&rate=0.0025697670223146225]25.082533 [...]
-End;
diff --git a/doc/source/examples/pythonidae.chars.nexus b/doc/source/examples/pythonidae.chars.nexus
deleted file mode 100644
index 44cd7e0..0000000
--- a/doc/source/examples/pythonidae.chars.nexus
+++ /dev/null
@@ -1,99 +0,0 @@
-#NEXUS
-
-[
-    Pythonidae data set as used in:
-
-    AUTHORS   Rawlings,L.H., Rabosky,D.L., Donnellan,S.C. and Hutchinson,M.N.
-    TITLE     Python phylogenetics: inference from morphology and mitochondrial
-              DNA
-    JOURNAL   Biol. J. Linn. Soc. Lond. 93 (3), 603-619 (2008)
-
-    Data:
-        CR      n=732   1-732
-        CYTB    n=1114  733-1846
-        12S     n=372   1847-2218
-        16S     n=498   2219-2716
-]
-
-BEGIN TAXA;
-    TITLE DEFAULT;
-    DIMENSIONS NTAX=33;
-    TAXLABELS
-        'Xenopeltis unicolor'
-        'Loxocemus bicolor'
-        'Morelia spilota'
-        'Morelia bredli'
-        'Morelia carinata'
-        'Morelia amethistina'
-        'Morelia oenpelliensis'
-        'Morelia boeleni'
-        'Morelia viridisS'
-        'Morelia viridisN'
-        'Liasis olivaceus'
-        'Liasis mackloti'
-        'Liasis fuscus'
-        'Liasis albertisii'
-        'Apodora papuana'
-        'Bothrochilus boa'
-        'Antaresia maculosa'
-        'Antaresia stimsoni'
-        'Antaresia childreni'
-        'Antaresia perthensis'
-        'Antaresia melanocephalus'
-        'Antaresia ramsayi'
-        'Python reticulatus'
-        'Python timoriensis'
-        'Python sebae'
-        'Python molurus'
-        'Python curtus'
-        'Python regius'
-        'Candoia aspera'
-        'Morelia nauta'
-        'Morelia clastolepis'
-        'Morelia tracyae'
-        'Morelia kinghorni'
-  ;
-END;
-
-BEGIN CHARACTERS;
-    TITLE DnaCharacterMatrix4302953360;
-    LINK TAXA = DEFAULT;
-    DIMENSIONS  NCHAR=2716;
-    FORMAT DATATYPE=DNA GAP=- MISSING=? MATCHCHAR=.;
-    MATRIX
-'Xenopeltis unicolor'         ???????????????????????????????????????????????????????AAACT--AAAATTCCCATTT-CCCACATATAT----GGATATT--ACGAAG--AAAAAA---GGACTAAAAAAAG---TCCTCTCTCGACCCCCCCCCTACCCCCCCCC-ACAGTT---AGTACGGGT------TTTCC-ATATATGTAACTCTTATAGATTTGCCTATCAAGGC-ATACTATGTATAATCATACATTAATGGCTTGCCCCATGAATATTAAACAGGAATTTCCCTTTAAATATTTTAGCCTAAAAAAGCCTTCGTACAGAACTTTAATA----CCACATTTCT-CAGTCGTTCAATGAAGCACGGAT-ATAGTA--TTGTT-GATAACCATGACTATCC--ACATCCAACTTGTCTTACAGGATCTTGCTA-TTCACGTGAAATCCTCTATCCTTT [...]
-'Loxocemus bicolor'           ?????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????? [...]
-'Morelia spilota'             ?GCCACACCCCTCACTTCCTCC-------------------CAACCATAGTCTGTAA-TTTACAGACTATGGT--CCATGCCTTAATATA-AAGCCAAAAATCCATATAATTTACCACAAAATAAAG-----CTCTCTC-TCGGCCCCCCCCCTACCCCCCCCC---AARAA-CATTGGGGAR------ACCGGCACACAAAACCA--TTARAAAACTCTTAACAAACCT--CTCTATGTATAATCTTACATTAATGGTTTGCCCCATGAATATTAAGCAGGAATTTCCCTTTTATTATTTTAGTCTAAAATGGCCTTTGTACAAAATATTCTG----TCCTCATTCTCTTGGTCGTTCTATGCAGCACGAGTT--AACTA-ATCTT-ATTAATCATGGATATTC-TCAAC-CTAAGGGTGTCTCTTAGTCTAGCG-CTTCCCGTGAAATCCTCTATCCTTC [...]
-'Morelia bredli'              ?GCCAC-CCCCTCACTTCCT---------------------TAACCATAGTCTGTAA-TTTACAGACTATGGT--CCATGCCTTAATATA-AAACCAAAAATCCATATAATTTACCACAAAATAAAG-----YTYTYTY-TYGGCCCCCCCCCTACMCCCCCCC--AAAGAA-CATTGGGAAA------ACCGGCACACAAAACTA--TTAGAAAACTCTTAACAAACCC--CTCTATGTATAATCTTACATTAATGGTTTGCCTCATGAATATTAAGCAGGAATTTCCCTTTTATTATTTTAGTCTAAAATGGCCTTTGTACAAAACATTCCG----TCCTCATTCTCCTGGTCGTTCTATGCAGCATGAGTT--AACCA-ATCTT-ATTGATCATGGATATTC-TTAAC-CTAAGGGTGTCTCTTATCCTAGCA-CTTCCCGTGAAATCCTCTATCCTTC [...]
-'Morelia carinata'            ?GCCACAACCCTCACTTCCT--------------------AAAACCATAGTCTGTAAA--TACAGACTATGGT--TCTTACCTCAATATA-AAGCCAAAAACCCATATAAAACGC-ACACAATAAAACG---CTCTC-C-TCGGCCCCCCCCCTACCCCCCCC--ATAATAAACATAGGAGAA------ATCAGCACACAAAACTA--CTGAAGATACCCCCTCATCTCT--CCCTATGTATAATCTTACATTAATGGTTTGCCCCATGAATATTAAGCAGGAATTTCCCTTCAAATATTTTAGTCTAAATAAGCCTTCGTACAGAATATTTAG----TCCTCATTTTC-TGGTCGTTCAATGCAACACGGATT--AATGG-ATCTT-ACTAACCATGGCTATCC-TTGAT-CAAGKGGKGTCTYTTAATCTAGTA-CTTCCCGTGAAACCCTCTATCCTTC [...]
-'Morelia amethistina'         ?ACCACACCCCTCACTTCCTC--------------------CAACCATAGTCTGTAA-TTTACAGACTATGGT--CCATGCCTTAATATA-AAGCCAAAAATCCATATAATTTACCACAAAATAAAG-----CTCTCTC-TCGGCCCCCCCCCTACCCCCCCCC--AAAAAAACATTGGGGAA------ACCGGCACACAAAACCA--TTAAAAAACTCTTAACAAACCT--CTCTATGTATAATCTTACATTAATGGTTTGCCCCATGAATATTAAGCAGGAATTTCCCTTTTATTATTTTAGTCTAAAATGGCCTTTGTACAAAATATTCTG----TCCTCATTTTCTTGGTCGTTCTATGCAGCATGAGCT--AACTA-ATCTT-ATTAATCATGGATATTC-TTAAC-CTARGGGTGTCTCTTAGTCTAGCG-CTTCCCGTGAAATCCTCTATCCTTC [...]
-'Morelia oenpelliensis'       ?GCCAC-MCCCTCACTTCCT---------------------TAACCATAGTCTGTAA-TTTACAGACTATGGT--CCATGCCTTAATATA-AAACCAGAAATCCATATAATTTACCACCAAATAAAG-----YTYTYTY-TYGGCCCCCCCCCTACCCCCCCCC--AAAGAA-CATTGGGAGA------ACCGGCACACAAAATTA--TTAGAAGACTTTTAACATACCC--CTCTATGGATAATTTTACATTAATGGTTTGCCTCATGRATATTAAGCAGGGAWTTCCCTTTTATTATTTTAGTCTAAAACGGCCCTTGTACCAGACATTCCG----TCCTCATTCTCCTGGTCGTTCTATGCAGCATGAGTT--AACCA-ATCTT-ATTGATCATGGATATTCCTTGAC-CTAAGGGTGTSTCTTATCCTAGCA-CTTCCCGTGAAATCCT-TATCCTTC [...]
-'Morelia boeleni'             ??AAACAACCCTCACTTCCTT--------------------CAACCATAGTCTGGA---TTCCAGACTATGGT--TGTTACCTAAAAAACTAAAGAAAAAATCCATATAAAC----------TAAAAA----CTCTCTC-TCGGCCCCCCCCCTACMCCCCCC---GGGTCAGCACAAAAAC-------ATCAC---------------CCAAAAATCCCCCTTTTT-CC--CCCTATGTATAATCTTACATTAATGGTTTGCCCCATGAATAATAAGCAGGAATTTCCCTTTAAATATTTTAGTCTAAAATAGCCTTT-TACATAAAATTATG----TCCTCATTTCT-TGGTCGTTCAATGCAGCACGGATT--AATAT-ATCTT-ATTGATCATGGATATCC-TTGGT-CTAATGGTGTCTCTTAGTCTAACA-CTTCCCGTGAAATCCTCTATCCTTC [...]
-'Morelia viridisS'            ?A-ATCAACCCTCACTTCCTCC-------------------TAGCCATAGTCTGTAAG-TTACAGACTATGGCT--CATGCCTTAATATATAAACCAAAAACCCATATAAT-CACTGAACAATAAAA-----CTYTYTYCTCGGCCCCCCCCCTACCCCCCCC---GGAAAACCATAAAA---------ATCAGCACATAAATAAA--CCTACTAATCCCATTGCTTCCT---CCTATGTATAATCTTACATTAATGGTTTGCCCCATGAATATTAAGCAGGAATTTCCCTTCAAATATTTTAGCCTAAATTAGCTTCCGTACAAAATATCTAG----CCCTCATTTTC-TGGTCGTTCAATGCAATCGGGGTT--AATAA-ATCTT-ACTAACCATGGATATCC-TTGAT-CAGGTGGTGTCTCTTAATTTAGTA-CTTCCCGTGAAATCCTCTATCCTTC [...]
-'Morelia viridisN'            ?A-CTCAACCCTCACTTCCTTC-------------------CAGCCATAGTCTGTAAA-TTACAGGCTATGGCT--CATACCTTGATATATAAACCAAAAACCCATATAATTCACCACACAACAAAA-----CTCTCTCCTCGGCCCCCCCC-TACCCCCCCCC--GGAAAAACATAGAAGAA------GTCAGCACAATTAAACT--TACTGATAACCCCTTGCTTCCT--CCCTATGTATAATCTTACATTAATGGTTTGCCCCATGAATATTAAGCAGGAATTTCCCTTCAAATATTTTAGCCTAAAATAGCCTTTGTACAAAATACCTTG----TCCTCATTTTC-TGGTCGTYCAATGCAATCGGGTCT--AACAA-ATCTT-ACTAACCATGGATATCC-TTGAT-CAAGTTGTGTCTCTTAATCTAGTAACTTCCCGTGAAATCCTCTATCCT-C [...]
-'Liasis olivaceus'            ?GCCACAACCCTCACTTCCCC-----------------ACCTAACCATAGTCTGTAAA-TTACAGACTATGGT--TGATACCTTAATACA-AAGCCGAAACCCCATATAAACAGCACCACAACAAAA----CTCTACTC-TCGGCCCCCCCCCTACMCCCCCCC--ACAAAAACATAGGARAA------ATCAGCACAAACAATC---MCCTAAAATCCCCCCTTAACCC--CCCTATGTATAATCTTACATTAATGGTTTGCCCCATGAATATTAAGCAGGAATTCCCCTTTAAATATTTTAGTCTGAATTAGCCCTTGTACAAAAAATCTTG----TCCTCATTTTC-TGGTCGTTCAATGCAGCACGGATT--AATAG-ATCTT-ATTAACCATGGCTATCC-TTGAT-CTAGTGGTGTCCCATGATCTAGTA-CTTCCCGTGAAATCCTCTATCCTTC [...]
-'Liasis mackloti'             ?ACCACAACCCTCACTTCCTT--------------------CAGCCATAGTCTGTAA-TTTACAGGCTATGGC--TGATACCTTAATATA-AAACCAAAATCCCATATAAATACCACCACAACAAAG-----CTCTCTC-TCGGCCCCCCCCCTACMCCCCCCC--ACCAAAACATAGAARAA------ATCAGCACAATAAATA---CTARAAGTATTTGCTTCCTTCC--CCCTATGTATAATCTTACATTAATGGTTTGCCCCATGAATATTTAGCAGGAATTTCCCTTTAAATATTTTAGCCTAAAATAGCCTTTGTACACAAAACTATG----TCCTCATTTCT-TGGTCGTTCAATGCAGCACGGATT--AATAG-ATTTT-AATAACCATGACTATCC-TTGAT-CTAGTGGTGTCCCATGATTTAGTA-CTTCCCGTGAAATCCTCTATCCTTC [...]
-'Liasis fuscus'               ?ACCACAACCCTCACTTCCTC--------------------CAGCCATAGTCTGTAA-TTTACAGGCTATGGC--TGATACCTTAATATA-AAACCAAAATCCCATATAAATACCACCACAACAAAG-----CTCTCTY-TCGGCCCCCCCCCTACCCCCCCCC--ACCAAAACATAGAAGAA------ATCAGCACA-AAATAACA-CTAGAAGTATTACTTCCTTGCC--CCCTATGTATAATCTTACATTAATGGTTTGCCCCATGAATATTTAGCAGGAATTTCCCTTCAAATATTTTAGCCTAAAATAGCCTTCATACATAAAATTATG----TCCTCATTTCT-TGGTCGTTCAATGCAGCACGGATT--AATGG-ATTTT-AATAACCATGACTATCC-TTGAT-CTAGTGGTGTCCCATGATTTAGTA-CTTCCCGTGAAATCCTCTATCCTTC [...]
-'Liasis albertisii'           ????GCTCCTCTCACTTCCTC--------------------AGACCACAGTCTGCAA---TGCAGACTGTGGTTTTGTGCCCAGAATATA--AACCAAAAAACCATATAAACAACACCRCGACAAAAAAGA--TCTCTC-TCGGCCCCCCCCMTACMCCCCCCC--AAAAAAACATARAGGAA------ATCAG--------------------TTCATARACT--------CTCTATGTATAATCTTACATTAATGGTTTGCCCCATGAATATTAAGCAGGAATTCCCCTTTAAATATTTTAATCTAAATTAGCCTTCGTACACAAAATTCAG----TCCTCATTCTC-TGGTCGTTCAATGCAGCACGGATT--AATCA-GTCTT-ACTAACCATGGATATCC-TTGAT-CTAGTCGTCTCTCTTAGTCTAACA-CTTCCCGTGAAACCCTCTATCCTTC [...]
-'Apodora papuana'             ?GCCACAACCCTCAMTTCCTT--------------------CAGCCACAGTYTGTAA-TTTACAGACTGTGGC--CCATGCCTCAATATA-AAGCCGAAAATCCATATAAATAACACCAAAACAAAG-----CTYTCCC-TYGGCCCCCCCCCTACCCCCCCCC--AAAAAAATATAGAGAA------CTATAGAACAAATAACCA---CCAAGAAGTTCACTATCCCCC--TCCTATGTATAATCTTACATTAATGGTTTGCCCCATGAATATTAAGCCGGAATTTCCCTTTAAATATTTTAGTCTAAATATGCCCTTGTACACAAAATTCAG----TCCTCATTTCT-TGGTCGTTCAATGCAGCCAGGAAT--AATCA-ATCTT-ATTAACCATGGATATCC-TTGAT-CTAGTGGTGTCTCTTGGTCTAGTA-CTTCCCGTGAAATCCTCTATCCTTC [...]
-'Bothrochilus boa'            ??GCACCGCCCTCACTTCCTC--------------------CGACCGCAGTCTGCC----AGCAGGCTGCGGTC-GCATGCCCAAAAACACAAACCAAAAAACCATATAAACAACGCCGCAACAAAAGG----YCYCYC-TCGGCCCCCCCCCTAC-CCCCCCC-ACAAAAAACATAGAGAAA------ATCAG--------------------TTTTCACAC---------CCCTATGTATAATCTTACATTAATGGTTTGCCCCATGAATATTAAGCAGGAATTTCCCTTCAAATATTTTAATCTAAAATAGCCTTTGTACATAAAATTTGC----CCCTCATTTCT-TGGTCGTTCAATGCAGCATGGATT--AATCA-GTCTT-ATTAACCATGGATATTC-TCAGT-CTAGTTGTGTCTCTTAGCCTAACA-CTTCCCGTGAAATCCTCTATCCTTC [...]
-'Antaresia maculosa'          ?ACCACAACCCTCACTTCCTCC--------------------AGCCATAGTCTGTAAATTTACAGACTATGGC--TGATACCTCAACATA-CAGCCAAAATTCCATATAATAT-CCCCACAACAA-----CTYTYTYTCYTYGGCCCCCCCCCTACCCCCCCC---ATCCAAATATATAAGAA------ATCAGCACAATAAACCT--ACTAGGAATTGCCAATAACTCC--CCCTATGTATAATCTTACATTAATGGTTTGCCCCATGAATATTAAGCAGGAATTCCCCTTCAAATATTTTAGTCTAAAATAGCCTTTGTACAGAATATTTAG----TCCTCATTTCT-TGGTCGTTCAATGCAACACGGATT---ATCAGTTCTT-ACTAACCATGGATATCC-TTGAT-CTAGTGGTGTCTCTTAATCTAGTA-CTTCCCGTGAAATCCTCTATCCTTC [...]
-'Antaresia stimsoni'          ?ACCACAACCCTCAMTTCCTTTCAGCCATAGTCTGTAAATACAGCCATAGTCTGTAAA--TACAGACTATGGC--TGATACCGCCATATA-GAGCCGAAAACCCATATAATATGCCACACAATAAA------CTYTYTCCTYGGCCCCCCCCCTACCCCCCCCC--ATTAAAACATATGGGAA------AACAGCACAAATACATA--TTAAAGAATGTCCAATTAATCC--TCCTATGTATAATCTTACATTAATGGTTTGCCCCATGAATATTAAGCAGGAATTCCCCTTTAAATATTTTAGCCTAAAATGTCCTTCGTACAGAATATTAAG----TCCTCATTTTC-TGGTCGTTCAATGCAATCAGGATT--AATCA-TTCTT-ACTAACCATGGCTATCC-TTGAT-CTAGTGGTGTCCCTTAATTTAGTA-CTTCCCGTGAAATCCTCTATCCTTC [...]
-'Antaresia childreni'         ?GCCACAACCCTCACTTCCTTCCAGCCATAGTCTGTAAATACAGCCATAGTCTGTAAA--TACAGACTATGGC--TGATGCCGCCATATA-GAGCCGAAAAACCATATAATATACCACACAATAAA------CTCTCTCCTCGGCCCCCCCCCTACCCCCCCCC--ATTAAAACATATGGGAA------AGCAGCACAAATACATA--TTAAAGAATGTCCAATTAATCC--TCCTATGTATAATCTTACATTAATGGTTTGCCCCATGAATATTAAGCAGGAATTCCCCTTTAAATATTTTAGTCTAAAATGTCCTTTGTACAGAATATTTAG----CCCTCATTCTC-TGGTCGTTCAATGCAATCGGGATT--AATCA-TTCTT-AATAACCATGACTATCC-TTGAT-CTAGTGGTGTCCCTTGATTTAGTA-CTTCCCGTGAAATCCTCTATCCTTT [...]
-'Antaresia perthensis'        ?ATCA-AACCC------------------------AAAACTAAGCCACAGCCTGTTT--AAACAGGCTGTGGC--TGATGCCGCCATACA-AAGCCGAAATTCCATATAACACACCACAATATAAA------CTYTYTCCTYGGCCCCCCCCCTACCCCCCCCC--AACCAAACATATAAGAA------AACAGAACAGTGAACAA--TTAGAGATTCTCCAATTAACTC--TCCTATGTATAATCTTACATTAATGGTTTGCCCCATGGATATTAAGCAGGAATTTCCCTTCAAATATTTTAGTCTAAAATAGCCTTTGTACAGTCTATTTAG----TCCTCATTTTC-TGGTCGTTCAATGCAGCATGGATT--AATCA-TTCTT-ACCGATCATGACTATCC-TTGAT-CTAGTGGTGTCTCTTAATTTAGTA-CTTCCCGTGAAATCCTCTATCCTTC [...]
-'Antaresia melanocephalus'    ?ACCACA----------CCTTCC-----------------CCAACCATAGTCTGTAACC--ACAGACTATGGT--CGATGTCTCAATATA-AAGCCAAAAATCTATATAAATAAA-ACACAATAAAG-----CTCTCTCCTCGGCCCCCCCC-TACMCCCCCC--ACAAGAAATATAGAAGAA------ACCAGCACATAAGACTA--TAAGGATTCCCCCCTTCTTTCC--CCCTATGTATAATCTTACATTAATGGTTTGCCCCATGAATATTAAGCCGGAATTCCCATTTAAATATTTTAATCTAAATTTGCCTTTGTACTTAAAATTCAG----TCCTCATTTCT-TGGTCGTTCAATGCAGCACGGATT--AATAG-ATCTT-ATTAACCATGGCTATCC-TTGAT-CTAGTGGTGTCCCATGATCTAGCT-CTTCCCGTGAAATCCTCTATCCTTC [...]
-'Antaresia ramsayi'           ?ACCACG----------CCTTCC-----------------CCA-CCATAGTCTGTAAA-TTACAGACTATGGT--CGTTGCCTCAACATA-AAGCCAAAAACCCATATAAACAAAAC--ATATAAA----CTCTCTCTCCTCGACCCCCCCC-TACCCCCCCC--ACAAGAAATATAGAAGAA------ACCAGCACATAAGACTA--TAAGGATTTCCCCCTCCTTTCC--CCCTATGTATAATCTTACATTAATGGTTTGCCCCATGAATATTAAGCCGGAATTCCCATTTAAATATTTTAATCTAAATT-GCCTTCGTACCTAAAATTCAG----TCCTCATTTCT-TGGTCGTTCAATGCAGCACGGATT--AATAG-ATCTT-ATTAACCATGGCTATCC-TTGAT-CTAGTGGTGTCCCATGATCTAGCT-CTTCCCGTGAAATCCTCTATCCTTC [...]
-'Python reticulatus'          ??CCATCACCCTCACTTCCTCC--------------------AACCATAGCCAAATA-TTT---GGCTATGGTT-TCATGCCAAAATATATCAACCAAAAACCCATATTAATATAATGCTATAAAATGG-------TCCCTCGACCCCCCCCCTACCCCCCCC--AAAAAA--CATAAGGAAA------GTCCG-CACATCATAAACCTCGTACTTTTCCCTATTTTTT-GCTCCTATGTATAATCTTACATTAATGGCTTGCCCCATGGATAATAAGCAGGAATTTCCCTTTTAATATTTTAGTCTAAATTAGCCTTCGTACAGGTAATTCAGT----CCTCATTTTC-TGGTCGTTCAATGCAGCATGGATT--AATAA-TTGTT-GATAACCATGGATATCC-TTGAT-CTAGTTGTGTCCCTTGATTTAACA-CTTCCCGTGAAATCCTCTATCCTTC [...]
-'Python timoriensis'                TA-CACCACCA------------------------------AGACCATAGTCGGTAAATC----GACTATGGTCTTTTTACGCCAAAAATACAACCAAAAATCCATATTAATATAGCAATATAAAATAG-------CCCCTCGACCCCCCCCCTACCCCCCCCC-ACAAAAA-TATAAAGAAA------ACCCG-TATGTCATAAACTCCGAATTTTTCCCTATTTTT--GCCCCTATGTATAATCATACATTATTGGCTTGCCCCATGGATAATAAGCAAGAATTCCCTTTTTAATATTTTAGTCTAAAATTGCCTTT-TACAAAAAACTCAGT----CCTCATTTCT-TGGTCGTTCAATGCAGCATGGGCT--AATAA-TTATT-AATAACCATGACTATCC-TTGAT-CTAGTTGTGTCTCTTAGTTTGGTA-CTTCCCGTGAAATCCTCTA [...]
-'Python sebae'                ?????????????????????????????????????????????????????????????????????????????CTTCCTCAGACAC-AAACTCA-ACCTCAAATAAAAATAAAAATAAT-----------CCTACCTCGGCCCCCCCCCTACCCCCCCC--ACTATTT-CATATGGAA-------TACAGGATATATAC-TTTGTTAGAAAAATCCATATTTTTTCTACCCTATGTATAATCTTACATTAATGGCTTGCCCCATGAATAATAAGCGGGAATTCCTAATAAAATATTTTAGCCTAAAATTGCCTTCGTACATAAAATT-AGC---TCCACATTTCTTTGGTCGTTCAATGCTGCANGGATTATAGTAC-TTCTT-AATACACATGACTATCC-TTGAT-CTAGTCGTCTCTCTTAACTTAACA-CTTCCCGTGAAATCCTCTATCCTTT [...]
-'Python molurus'              ?????????????????????????????????????????????????????????????????????????????CTTCCTCAGACAC-AAACTCA-ACCTCAAATAAAAATAAAAACAAT-----------CCTACCTCGGCCCCCCCCCTACCCCCCCCC-ACTATTT-CATATGGAA-------TACAGGATATATACATTTGTTAGAAAAATCCATATTTTTTCTACCCTATGTATAATCTTACATTAATGGCTTGCCCCATGAATAATAAGCGGGAATTCCTAATAAAATATTTTAGCCTAAAATTGCCTTCGTACATAAAATT-AGC---TCCACATTTCTTTGGTCGTTCAATGCTGCACGGATTATAGTAC-TTCTT-AATACACATGACTATCC-TTGAT-CTAGTCGTCTCTCTTAACTTAACA-CTTCCCGTGAAATCCTCTATCCTTT [...]
-'Python curtus'               ?CCACAAAA-----------------------------------CCAT-----------------ATTAATYTT--CCCACCTATAAYTA-AACCCGAAATTCCCTATAAA--CACAACAAAAAATA-----CTCCTTCYTCGCCCCCCCCC-TACCCCCCCCCCAC-ATTT-AATATAAGAT------TCTGG--AATATACACACATCGTTAATTTCCATATTTTTT--ATGCTATGTATAATCTTACATTAATGGTTTGCCCCATGAATAATAAGCCGGAATTCCATATTAAATATTTTAGCCTAAAATTGCCTTAGTACCTAAAACT-AGTCCTTCCTCATTTTC-TGGTCGTTCAATGCTGCATGGATT--AATCA-TTCTTTAACAGATATGTCTATCC-TTGAT-CTAGTCGTCTCTCTTAACCTGGCG-CTTCCCGTGAAATCCTCTATCCTTT [...]
-'Python regius'               ?????????????????????????????????????????????????????????????????????????????TTACCTCAAT----AAACCCAAACCCACTATAAAAATATAA-----------------CCCCCTCGGCCCCCCCCCTTCCCCCCCCC-ACTTACA---TAGGAGGA------TTTAG-ATATATACACATATTAGGATTTTCCCTATCTTTTC-ACCCTATGTATAATCTTACATTAATGGTTTGCCCCATGAATATTAAACCAGAATTTCCAATTAAATATTTTAACCTAAAATTGCCTTCGTACACTACACC-AGT---CCCTCATTTCT-TGGTCGTTCAATGCTGCACGGATTATAGTAC-TTATT-AATGCTCATGTCTATCC-TTGGT-CTAGTGGTGTCTCTTAGTTTAACA-CTTCCCGTGAAATCCTCTATCCTTT [...]
-'Candoia aspera'              ?????????????????????????????????????????????????????????????????????????????????????????????????AAA----CTA-------------------------CT-CTCTGG-GACCCCCCCC-TACCCCCCCC--AGATAAACTATACTAAAATTTACCTGAGTACACTATGTAAATATTGTACATTAGTCTATATTTC--ATGCTATGTATAATCATACATTAATGATCTGCCCCATGGATAATAAGCAGGAATTTCCCTATTAATATTTCAGCCTATTAATGCCTTAGTACAGTCAGTGTGTC---ACCACATCAT--GGGTCGTTTTATGCAGCAAGGATTA-ACTA--TTATT-GGTAATCATGCCTATCC--TGATCCAAGTTGTC-CTCTTAATCTACCTA-CTCACGTGAAATCCTCTATCCTTC [...]
-'Morelia nauta'               ?????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????? [...]
-'Morelia clastolepis'         ?????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????? [...]
-'Morelia tracyae'             ?????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????? [...]
-'Morelia kinghorni'           ?????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????? [...]
-    ;
-END;
-
diff --git a/doc/source/examples/pythonidae.chars.phylip b/doc/source/examples/pythonidae.chars.phylip
deleted file mode 100644
index 5ffa51f..0000000
--- a/doc/source/examples/pythonidae.chars.phylip
+++ /dev/null
@@ -1,34 +0,0 @@
-33 2716
-Xenopeltis_unicolor             ???????????????????????????????????????????????????????AAACT--AAAATTCCCATTT-CCCACATATAT----GGATATT--ACGAAG--AAAAAA---GGACTAAAAAAAG---TCCTCTCTCGACCCCCCCCCTACCCCCCCCC-ACAGTT---AGTACGGGT------TTTCC-ATATATGTAACTCTTATAGATTTGCCTATCAAGGC-ATACTATGTATAATCATACATTAATGGCTTGCCCCATGAATATTAAACAGGAATTTCCCTTTAAATATTTTAGCCTAAAAAAGCCTTCGTACAGAACTTTAATA----CCACATTTCT-CAGTCGTTCAATGAAGCACGGAT-ATAGTA--TTGTT-GATAACCATGACTATCC--ACATCCAACTTGTCTTACAGGATCTTGCTA-TTCACGTGAAATCCTCTATCCT [...]
-Loxocemus_bicolor               ???????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????? [...]
-Morelia_spilota                 ?GCCACACCCCTCACTTCCTCC-------------------CAACCATAGTCTGTAA-TTTACAGACTATGGT--CCATGCCTTAATATA-AAGCCAAAAATCCATATAATTTACCACAAAATAAAG-----CTCTCTC-TCGGCCCCCCCCCTACCCCCCCCC---AARAA-CATTGGGGAR------ACCGGCACACAAAACCA--TTARAAAACTCTTAACAAACCT--CTCTATGTATAATCTTACATTAATGGTTTGCCCCATGAATATTAAGCAGGAATTTCCCTTTTATTATTTTAGTCTAAAATGGCCTTTGTACAAAATATTCTG----TCCTCATTCTCTTGGTCGTTCTATGCAGCACGAGTT--AACTA-ATCTT-ATTAATCATGGATATTC-TCAAC-CTAAGGGTGTCTCTTAGTCTAGCG-CTTCCCGTGAAATCCTCTATCCT [...]
-Morelia_bredli                  ?GCCAC-CCCCTCACTTCCT---------------------TAACCATAGTCTGTAA-TTTACAGACTATGGT--CCATGCCTTAATATA-AAACCAAAAATCCATATAATTTACCACAAAATAAAG-----YTYTYTY-TYGGCCCCCCCCCTACMCCCCCCC--AAAGAA-CATTGGGAAA------ACCGGCACACAAAACTA--TTAGAAAACTCTTAACAAACCC--CTCTATGTATAATCTTACATTAATGGTTTGCCTCATGAATATTAAGCAGGAATTTCCCTTTTATTATTTTAGTCTAAAATGGCCTTTGTACAAAACATTCCG----TCCTCATTCTCCTGGTCGTTCTATGCAGCATGAGTT--AACCA-ATCTT-ATTGATCATGGATATTC-TTAAC-CTAAGGGTGTCTCTTATCCTAGCA-CTTCCCGTGAAATCCTCTATCCT [...]
-Morelia_carinata                ?GCCACAACCCTCACTTCCT--------------------AAAACCATAGTCTGTAAA--TACAGACTATGGT--TCTTACCTCAATATA-AAGCCAAAAACCCATATAAAACGC-ACACAATAAAACG---CTCTC-C-TCGGCCCCCCCCCTACCCCCCCC--ATAATAAACATAGGAGAA------ATCAGCACACAAAACTA--CTGAAGATACCCCCTCATCTCT--CCCTATGTATAATCTTACATTAATGGTTTGCCCCATGAATATTAAGCAGGAATTTCCCTTCAAATATTTTAGTCTAAATAAGCCTTCGTACAGAATATTTAG----TCCTCATTTTC-TGGTCGTTCAATGCAACACGGATT--AATGG-ATCTT-ACTAACCATGGCTATCC-TTGAT-CAAGKGGKGTCTYTTAATCTAGTA-CTTCCCGTGAAACCCTCTATCCT [...]
-Morelia_amethistina             ?ACCACACCCCTCACTTCCTC--------------------CAACCATAGTCTGTAA-TTTACAGACTATGGT--CCATGCCTTAATATA-AAGCCAAAAATCCATATAATTTACCACAAAATAAAG-----CTCTCTC-TCGGCCCCCCCCCTACCCCCCCCC--AAAAAAACATTGGGGAA------ACCGGCACACAAAACCA--TTAAAAAACTCTTAACAAACCT--CTCTATGTATAATCTTACATTAATGGTTTGCCCCATGAATATTAAGCAGGAATTTCCCTTTTATTATTTTAGTCTAAAATGGCCTTTGTACAAAATATTCTG----TCCTCATTTTCTTGGTCGTTCTATGCAGCATGAGCT--AACTA-ATCTT-ATTAATCATGGATATTC-TTAAC-CTARGGGTGTCTCTTAGTCTAGCG-CTTCCCGTGAAATCCTCTATCCT [...]
-Morelia_oenpelliensis           ?GCCAC-MCCCTCACTTCCT---------------------TAACCATAGTCTGTAA-TTTACAGACTATGGT--CCATGCCTTAATATA-AAACCAGAAATCCATATAATTTACCACCAAATAAAG-----YTYTYTY-TYGGCCCCCCCCCTACCCCCCCCC--AAAGAA-CATTGGGAGA------ACCGGCACACAAAATTA--TTAGAAGACTTTTAACATACCC--CTCTATGGATAATTTTACATTAATGGTTTGCCTCATGRATATTAAGCAGGGAWTTCCCTTTTATTATTTTAGTCTAAAACGGCCCTTGTACCAGACATTCCG----TCCTCATTCTCCTGGTCGTTCTATGCAGCATGAGTT--AACCA-ATCTT-ATTGATCATGGATATTCCTTGAC-CTAAGGGTGTSTCTTATCCTAGCA-CTTCCCGTGAAATCCT-TATCCT [...]
-Morelia_boeleni                 ??AAACAACCCTCACTTCCTT--------------------CAACCATAGTCTGGA---TTCCAGACTATGGT--TGTTACCTAAAAAACTAAAGAAAAAATCCATATAAAC----------TAAAAA----CTCTCTC-TCGGCCCCCCCCCTACMCCCCCC---GGGTCAGCACAAAAAC-------ATCAC---------------CCAAAAATCCCCCTTTTT-CC--CCCTATGTATAATCTTACATTAATGGTTTGCCCCATGAATAATAAGCAGGAATTTCCCTTTAAATATTTTAGTCTAAAATAGCCTTT-TACATAAAATTATG----TCCTCATTTCT-TGGTCGTTCAATGCAGCACGGATT--AATAT-ATCTT-ATTGATCATGGATATCC-TTGGT-CTAATGGTGTCTCTTAGTCTAACA-CTTCCCGTGAAATCCTCTATCCT [...]
-Morelia_viridisS                ?A-ATCAACCCTCACTTCCTCC-------------------TAGCCATAGTCTGTAAG-TTACAGACTATGGCT--CATGCCTTAATATATAAACCAAAAACCCATATAAT-CACTGAACAATAAAA-----CTYTYTYCTCGGCCCCCCCCCTACCCCCCCC---GGAAAACCATAAAA---------ATCAGCACATAAATAAA--CCTACTAATCCCATTGCTTCCT---CCTATGTATAATCTTACATTAATGGTTTGCCCCATGAATATTAAGCAGGAATTTCCCTTCAAATATTTTAGCCTAAATTAGCTTCCGTACAAAATATCTAG----CCCTCATTTTC-TGGTCGTTCAATGCAATCGGGGTT--AATAA-ATCTT-ACTAACCATGGATATCC-TTGAT-CAGGTGGTGTCTCTTAATTTAGTA-CTTCCCGTGAAATCCTCTATCCT [...]
-Morelia_viridisN                ?A-CTCAACCCTCACTTCCTTC-------------------CAGCCATAGTCTGTAAA-TTACAGGCTATGGCT--CATACCTTGATATATAAACCAAAAACCCATATAATTCACCACACAACAAAA-----CTCTCTCCTCGGCCCCCCCC-TACCCCCCCCC--GGAAAAACATAGAAGAA------GTCAGCACAATTAAACT--TACTGATAACCCCTTGCTTCCT--CCCTATGTATAATCTTACATTAATGGTTTGCCCCATGAATATTAAGCAGGAATTTCCCTTCAAATATTTTAGCCTAAAATAGCCTTTGTACAAAATACCTTG----TCCTCATTTTC-TGGTCGTYCAATGCAATCGGGTCT--AACAA-ATCTT-ACTAACCATGGATATCC-TTGAT-CAAGTTGTGTCTCTTAATCTAGTAACTTCCCGTGAAATCCTCTATCCT [...]
-Liasis_olivaceus                ?GCCACAACCCTCACTTCCCC-----------------ACCTAACCATAGTCTGTAAA-TTACAGACTATGGT--TGATACCTTAATACA-AAGCCGAAACCCCATATAAACAGCACCACAACAAAA----CTCTACTC-TCGGCCCCCCCCCTACMCCCCCCC--ACAAAAACATAGGARAA------ATCAGCACAAACAATC---MCCTAAAATCCCCCCTTAACCC--CCCTATGTATAATCTTACATTAATGGTTTGCCCCATGAATATTAAGCAGGAATTCCCCTTTAAATATTTTAGTCTGAATTAGCCCTTGTACAAAAAATCTTG----TCCTCATTTTC-TGGTCGTTCAATGCAGCACGGATT--AATAG-ATCTT-ATTAACCATGGCTATCC-TTGAT-CTAGTGGTGTCCCATGATCTAGTA-CTTCCCGTGAAATCCTCTATCCT [...]
-Liasis_mackloti                 ?ACCACAACCCTCACTTCCTT--------------------CAGCCATAGTCTGTAA-TTTACAGGCTATGGC--TGATACCTTAATATA-AAACCAAAATCCCATATAAATACCACCACAACAAAG-----CTCTCTC-TCGGCCCCCCCCCTACMCCCCCCC--ACCAAAACATAGAARAA------ATCAGCACAATAAATA---CTARAAGTATTTGCTTCCTTCC--CCCTATGTATAATCTTACATTAATGGTTTGCCCCATGAATATTTAGCAGGAATTTCCCTTTAAATATTTTAGCCTAAAATAGCCTTTGTACACAAAACTATG----TCCTCATTTCT-TGGTCGTTCAATGCAGCACGGATT--AATAG-ATTTT-AATAACCATGACTATCC-TTGAT-CTAGTGGTGTCCCATGATTTAGTA-CTTCCCGTGAAATCCTCTATCCT [...]
-Liasis_fuscus                   ?ACCACAACCCTCACTTCCTC--------------------CAGCCATAGTCTGTAA-TTTACAGGCTATGGC--TGATACCTTAATATA-AAACCAAAATCCCATATAAATACCACCACAACAAAG-----CTCTCTY-TCGGCCCCCCCCCTACCCCCCCCC--ACCAAAACATAGAAGAA------ATCAGCACA-AAATAACA-CTAGAAGTATTACTTCCTTGCC--CCCTATGTATAATCTTACATTAATGGTTTGCCCCATGAATATTTAGCAGGAATTTCCCTTCAAATATTTTAGCCTAAAATAGCCTTCATACATAAAATTATG----TCCTCATTTCT-TGGTCGTTCAATGCAGCACGGATT--AATGG-ATTTT-AATAACCATGACTATCC-TTGAT-CTAGTGGTGTCCCATGATTTAGTA-CTTCCCGTGAAATCCTCTATCCT [...]
-Liasis_albertisii               ????GCTCCTCTCACTTCCTC--------------------AGACCACAGTCTGCAA---TGCAGACTGTGGTTTTGTGCCCAGAATATA--AACCAAAAAACCATATAAACAACACCRCGACAAAAAAGA--TCTCTC-TCGGCCCCCCCCMTACMCCCCCCC--AAAAAAACATARAGGAA------ATCAG--------------------TTCATARACT--------CTCTATGTATAATCTTACATTAATGGTTTGCCCCATGAATATTAAGCAGGAATTCCCCTTTAAATATTTTAATCTAAATTAGCCTTCGTACACAAAATTCAG----TCCTCATTCTC-TGGTCGTTCAATGCAGCACGGATT--AATCA-GTCTT-ACTAACCATGGATATCC-TTGAT-CTAGTCGTCTCTCTTAGTCTAACA-CTTCCCGTGAAACCCTCTATCCT [...]
-Apodora_papuana                 ?GCCACAACCCTCAMTTCCTT--------------------CAGCCACAGTYTGTAA-TTTACAGACTGTGGC--CCATGCCTCAATATA-AAGCCGAAAATCCATATAAATAACACCAAAACAAAG-----CTYTCCC-TYGGCCCCCCCCCTACCCCCCCCC--AAAAAAATATAGAGAA------CTATAGAACAAATAACCA---CCAAGAAGTTCACTATCCCCC--TCCTATGTATAATCTTACATTAATGGTTTGCCCCATGAATATTAAGCCGGAATTTCCCTTTAAATATTTTAGTCTAAATATGCCCTTGTACACAAAATTCAG----TCCTCATTTCT-TGGTCGTTCAATGCAGCCAGGAAT--AATCA-ATCTT-ATTAACCATGGATATCC-TTGAT-CTAGTGGTGTCTCTTGGTCTAGTA-CTTCCCGTGAAATCCTCTATCCT [...]
-Bothrochilus_boa                ??GCACCGCCCTCACTTCCTC--------------------CGACCGCAGTCTGCC----AGCAGGCTGCGGTC-GCATGCCCAAAAACACAAACCAAAAAACCATATAAACAACGCCGCAACAAAAGG----YCYCYC-TCGGCCCCCCCCCTAC-CCCCCCC-ACAAAAAACATAGAGAAA------ATCAG--------------------TTTTCACAC---------CCCTATGTATAATCTTACATTAATGGTTTGCCCCATGAATATTAAGCAGGAATTTCCCTTCAAATATTTTAATCTAAAATAGCCTTTGTACATAAAATTTGC----CCCTCATTTCT-TGGTCGTTCAATGCAGCATGGATT--AATCA-GTCTT-ATTAACCATGGATATTC-TCAGT-CTAGTTGTGTCTCTTAGCCTAACA-CTTCCCGTGAAATCCTCTATCCT [...]
-Antaresia_maculosa              ?ACCACAACCCTCACTTCCTCC--------------------AGCCATAGTCTGTAAATTTACAGACTATGGC--TGATACCTCAACATA-CAGCCAAAATTCCATATAATAT-CCCCACAACAA-----CTYTYTYTCYTYGGCCCCCCCCCTACCCCCCCC---ATCCAAATATATAAGAA------ATCAGCACAATAAACCT--ACTAGGAATTGCCAATAACTCC--CCCTATGTATAATCTTACATTAATGGTTTGCCCCATGAATATTAAGCAGGAATTCCCCTTCAAATATTTTAGTCTAAAATAGCCTTTGTACAGAATATTTAG----TCCTCATTTCT-TGGTCGTTCAATGCAACACGGATT---ATCAGTTCTT-ACTAACCATGGATATCC-TTGAT-CTAGTGGTGTCTCTTAATCTAGTA-CTTCCCGTGAAATCCTCTATCCT [...]
-Antaresia_stimsoni              ?ACCACAACCCTCAMTTCCTTTCAGCCATAGTCTGTAAATACAGCCATAGTCTGTAAA--TACAGACTATGGC--TGATACCGCCATATA-GAGCCGAAAACCCATATAATATGCCACACAATAAA------CTYTYTCCTYGGCCCCCCCCCTACCCCCCCCC--ATTAAAACATATGGGAA------AACAGCACAAATACATA--TTAAAGAATGTCCAATTAATCC--TCCTATGTATAATCTTACATTAATGGTTTGCCCCATGAATATTAAGCAGGAATTCCCCTTTAAATATTTTAGCCTAAAATGTCCTTCGTACAGAATATTAAG----TCCTCATTTTC-TGGTCGTTCAATGCAATCAGGATT--AATCA-TTCTT-ACTAACCATGGCTATCC-TTGAT-CTAGTGGTGTCCCTTAATTTAGTA-CTTCCCGTGAAATCCTCTATCCT [...]
-Antaresia_childreni             ?GCCACAACCCTCACTTCCTTCCAGCCATAGTCTGTAAATACAGCCATAGTCTGTAAA--TACAGACTATGGC--TGATGCCGCCATATA-GAGCCGAAAAACCATATAATATACCACACAATAAA------CTCTCTCCTCGGCCCCCCCCCTACCCCCCCCC--ATTAAAACATATGGGAA------AGCAGCACAAATACATA--TTAAAGAATGTCCAATTAATCC--TCCTATGTATAATCTTACATTAATGGTTTGCCCCATGAATATTAAGCAGGAATTCCCCTTTAAATATTTTAGTCTAAAATGTCCTTTGTACAGAATATTTAG----CCCTCATTCTC-TGGTCGTTCAATGCAATCGGGATT--AATCA-TTCTT-AATAACCATGACTATCC-TTGAT-CTAGTGGTGTCCCTTGATTTAGTA-CTTCCCGTGAAATCCTCTATCCT [...]
-Antaresia_perthensis            ?ATCA-AACCC------------------------AAAACTAAGCCACAGCCTGTTT--AAACAGGCTGTGGC--TGATGCCGCCATACA-AAGCCGAAATTCCATATAACACACCACAATATAAA------CTYTYTCCTYGGCCCCCCCCCTACCCCCCCCC--AACCAAACATATAAGAA------AACAGAACAGTGAACAA--TTAGAGATTCTCCAATTAACTC--TCCTATGTATAATCTTACATTAATGGTTTGCCCCATGGATATTAAGCAGGAATTTCCCTTCAAATATTTTAGTCTAAAATAGCCTTTGTACAGTCTATTTAG----TCCTCATTTTC-TGGTCGTTCAATGCAGCATGGATT--AATCA-TTCTT-ACCGATCATGACTATCC-TTGAT-CTAGTGGTGTCTCTTAATTTAGTA-CTTCCCGTGAAATCCTCTATCCT [...]
-Antaresia_melanocephalus        ?ACCACA----------CCTTCC-----------------CCAACCATAGTCTGTAACC--ACAGACTATGGT--CGATGTCTCAATATA-AAGCCAAAAATCTATATAAATAAA-ACACAATAAAG-----CTCTCTCCTCGGCCCCCCCC-TACMCCCCCC--ACAAGAAATATAGAAGAA------ACCAGCACATAAGACTA--TAAGGATTCCCCCCTTCTTTCC--CCCTATGTATAATCTTACATTAATGGTTTGCCCCATGAATATTAAGCCGGAATTCCCATTTAAATATTTTAATCTAAATTTGCCTTTGTACTTAAAATTCAG----TCCTCATTTCT-TGGTCGTTCAATGCAGCACGGATT--AATAG-ATCTT-ATTAACCATGGCTATCC-TTGAT-CTAGTGGTGTCCCATGATCTAGCT-CTTCCCGTGAAATCCTCTATCCT [...]
-Antaresia_ramsayi               ?ACCACG----------CCTTCC-----------------CCA-CCATAGTCTGTAAA-TTACAGACTATGGT--CGTTGCCTCAACATA-AAGCCAAAAACCCATATAAACAAAAC--ATATAAA----CTCTCTCTCCTCGACCCCCCCC-TACCCCCCCC--ACAAGAAATATAGAAGAA------ACCAGCACATAAGACTA--TAAGGATTTCCCCCTCCTTTCC--CCCTATGTATAATCTTACATTAATGGTTTGCCCCATGAATATTAAGCCGGAATTCCCATTTAAATATTTTAATCTAAATT-GCCTTCGTACCTAAAATTCAG----TCCTCATTTCT-TGGTCGTTCAATGCAGCACGGATT--AATAG-ATCTT-ATTAACCATGGCTATCC-TTGAT-CTAGTGGTGTCCCATGATCTAGCT-CTTCCCGTGAAATCCTCTATCCT [...]
-Python_reticulatus              ??CCATCACCCTCACTTCCTCC--------------------AACCATAGCCAAATA-TTT---GGCTATGGTT-TCATGCCAAAATATATCAACCAAAAACCCATATTAATATAATGCTATAAAATGG-------TCCCTCGACCCCCCCCCTACCCCCCCC--AAAAAA--CATAAGGAAA------GTCCG-CACATCATAAACCTCGTACTTTTCCCTATTTTTT-GCTCCTATGTATAATCTTACATTAATGGCTTGCCCCATGGATAATAAGCAGGAATTTCCCTTTTAATATTTTAGTCTAAATTAGCCTTCGTACAGGTAATTCAGT----CCTCATTTTC-TGGTCGTTCAATGCAGCATGGATT--AATAA-TTGTT-GATAACCATGGATATCC-TTGAT-CTAGTTGTGTCCCTTGATTTAACA-CTTCCCGTGAAATCCTCTATCCT [...]
-Python_timoriensis              TA-CACCACCA------------------------------AGACCATAGTCGGTAAATC----GACTATGGTCTTTTTACGCCAAAAATACAACCAAAAATCCATATTAATATAGCAATATAAAATAG-------CCCCTCGACCCCCCCCCTACCCCCCCCC-ACAAAAA-TATAAAGAAA------ACCCG-TATGTCATAAACTCCGAATTTTTCCCTATTTTT--GCCCCTATGTATAATCATACATTATTGGCTTGCCCCATGGATAATAAGCAAGAATTCCCTTTTTAATATTTTAGTCTAAAATTGCCTTT-TACAAAAAACTCAGT----CCTCATTTCT-TGGTCGTTCAATGCAGCATGGGCT--AATAA-TTATT-AATAACCATGACTATCC-TTGAT-CTAGTTGTGTCTCTTAGTTTGGTA-CTTCCCGTGAAATCCTCTATCCT [...]
-Python_sebae                    ?????????????????????????????????????????????????????????????????????????????CTTCCTCAGACAC-AAACTCA-ACCTCAAATAAAAATAAAAATAAT-----------CCTACCTCGGCCCCCCCCCTACCCCCCCC--ACTATTT-CATATGGAA-------TACAGGATATATAC-TTTGTTAGAAAAATCCATATTTTTTCTACCCTATGTATAATCTTACATTAATGGCTTGCCCCATGAATAATAAGCGGGAATTCCTAATAAAATATTTTAGCCTAAAATTGCCTTCGTACATAAAATT-AGC---TCCACATTTCTTTGGTCGTTCAATGCTGCANGGATTATAGTAC-TTCTT-AATACACATGACTATCC-TTGAT-CTAGTCGTCTCTCTTAACTTAACA-CTTCCCGTGAAATCCTCTATCCT [...]
-Python_molurus                  ?????????????????????????????????????????????????????????????????????????????CTTCCTCAGACAC-AAACTCA-ACCTCAAATAAAAATAAAAACAAT-----------CCTACCTCGGCCCCCCCCCTACCCCCCCCC-ACTATTT-CATATGGAA-------TACAGGATATATACATTTGTTAGAAAAATCCATATTTTTTCTACCCTATGTATAATCTTACATTAATGGCTTGCCCCATGAATAATAAGCGGGAATTCCTAATAAAATATTTTAGCCTAAAATTGCCTTCGTACATAAAATT-AGC---TCCACATTTCTTTGGTCGTTCAATGCTGCACGGATTATAGTAC-TTCTT-AATACACATGACTATCC-TTGAT-CTAGTCGTCTCTCTTAACTTAACA-CTTCCCGTGAAATCCTCTATCCT [...]
-Python_curtus                   ?CCACAAAA-----------------------------------CCAT-----------------ATTAATYTT--CCCACCTATAAYTA-AACCCGAAATTCCCTATAAA--CACAACAAAAAATA-----CTCCTTCYTCGCCCCCCCCC-TACCCCCCCCCCAC-ATTT-AATATAAGAT------TCTGG--AATATACACACATCGTTAATTTCCATATTTTTT--ATGCTATGTATAATCTTACATTAATGGTTTGCCCCATGAATAATAAGCCGGAATTCCATATTAAATATTTTAGCCTAAAATTGCCTTAGTACCTAAAACT-AGTCCTTCCTCATTTTC-TGGTCGTTCAATGCTGCATGGATT--AATCA-TTCTTTAACAGATATGTCTATCC-TTGAT-CTAGTCGTCTCTCTTAACCTGGCG-CTTCCCGTGAAATCCTCTATCCT [...]
-Python_regius                   ?????????????????????????????????????????????????????????????????????????????TTACCTCAAT----AAACCCAAACCCACTATAAAAATATAA-----------------CCCCCTCGGCCCCCCCCCTTCCCCCCCCC-ACTTACA---TAGGAGGA------TTTAG-ATATATACACATATTAGGATTTTCCCTATCTTTTC-ACCCTATGTATAATCTTACATTAATGGTTTGCCCCATGAATATTAAACCAGAATTTCCAATTAAATATTTTAACCTAAAATTGCCTTCGTACACTACACC-AGT---CCCTCATTTCT-TGGTCGTTCAATGCTGCACGGATTATAGTAC-TTATT-AATGCTCATGTCTATCC-TTGGT-CTAGTGGTGTCTCTTAGTTTAACA-CTTCCCGTGAAATCCTCTATCCT [...]
-Candoia_aspera                  ?????????????????????????????????????????????????????????????????????????????????????????????????AAA----CTA-------------------------CT-CTCTGG-GACCCCCCCC-TACCCCCCCC--AGATAAACTATACTAAAATTTACCTGAGTACACTATGTAAATATTGTACATTAGTCTATATTTC--ATGCTATGTATAATCATACATTAATGATCTGCCCCATGGATAATAAGCAGGAATTTCCCTATTAATATTTCAGCCTATTAATGCCTTAGTACAGTCAGTGTGTC---ACCACATCAT--GGGTCGTTTTATGCAGCAAGGATTA-ACTA--TTATT-GGTAATCATGCCTATCC--TGATCCAAGTTGTC-CTCTTAATCTACCTA-CTCACGTGAAATCCTCTATCCT [...]
-Morelia_nauta                   ???????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????? [...]
-Morelia_clastolepis             ???????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????? [...]
-Morelia_tracyae                 ???????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????? [...]
-Morelia_kinghorni               ???????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????? [...]
diff --git a/doc/source/examples/pythonidae.fasta b/doc/source/examples/pythonidae.fasta
deleted file mode 100644
index a0c5414..0000000
--- a/doc/source/examples/pythonidae.fasta
+++ /dev/null
@@ -1,99 +0,0 @@
->Xenopeltis unicolor
-???????????????????????????????????????????????????????AAACT--AAAATTCCCATTT-CCCACATATAT----GGATATT--ACGAAG--AAAAAA---GGACTAAAAAAAG---TCCTCTCTCGACCCCCCCCCTACCCCCCCCC-ACAGTT---AGTACGGGT------TTTCC-ATATATGTAACTCTTATAGATTTGCCTATCAAGGC-ATACTATGTATAATCATACATTAATGGCTTGCCCCATGAATATTAAACAGGAATTTCCCTTTAAATATTTTAGCCTAAAAAAGCCTTCGTACAGAACTTTAATA----CCACATTTCT-CAGTCGTTCAATGAAGCACGGAT-ATAGTA--TTGTT-GATAACCATGACTATCC--ACATCCAACTTGTCTTACAGGATCTTGCTA-TTCACGTGAAATCCTCTATCCTTTCATAGCAGGCATACCATTCGACTTCTCACG [...]
-
->Loxocemus bicolor
-???????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????? [...]
-
->Morelia spilota
-?GCCACACCCCTCACTTCCTCC-------------------CAACCATAGTCTGTAA-TTTACAGACTATGGT--CCATGCCTTAATATA-AAGCCAAAAATCCATATAATTTACCACAAAATAAAG-----CTCTCTC-TCGGCCCCCCCCCTACCCCCCCCC---AARAA-CATTGGGGAR------ACCGGCACACAAAACCA--TTARAAAACTCTTAACAAACCT--CTCTATGTATAATCTTACATTAATGGTTTGCCCCATGAATATTAAGCAGGAATTTCCCTTTTATTATTTTAGTCTAAAATGGCCTTTGTACAAAATATTCTG----TCCTCATTCTCTTGGTCGTTCTATGCAGCACGAGTT--AACTA-ATCTT-ATTAATCATGGATATTC-TCAAC-CTAAGGGTGTCTCTTAGTCTAGCG-CTTCCCGTGAAATCCTCTATCCTTCCATAGAATGCTAACCATTCGACTTCTCACG [...]
-
->Morelia bredli
-?GCCAC-CCCCTCACTTCCT---------------------TAACCATAGTCTGTAA-TTTACAGACTATGGT--CCATGCCTTAATATA-AAACCAAAAATCCATATAATTTACCACAAAATAAAG-----YTYTYTY-TYGGCCCCCCCCCTACMCCCCCCC--AAAGAA-CATTGGGAAA------ACCGGCACACAAAACTA--TTAGAAAACTCTTAACAAACCC--CTCTATGTATAATCTTACATTAATGGTTTGCCTCATGAATATTAAGCAGGAATTTCCCTTTTATTATTTTAGTCTAAAATGGCCTTTGTACAAAACATTCCG----TCCTCATTCTCCTGGTCGTTCTATGCAGCATGAGTT--AACCA-ATCTT-ATTGATCATGGATATTC-TTAAC-CTAAGGGTGTCTCTTATCCTAGCA-CTTCCCGTGAAATCCTCTATCCTTCCATAGAATGCTAACCATTCGACTTCTCACG [...]
-
->Morelia carinata
-?GCCACAACCCTCACTTCCT--------------------AAAACCATAGTCTGTAAA--TACAGACTATGGT--TCTTACCTCAATATA-AAGCCAAAAACCCATATAAAACGC-ACACAATAAAACG---CTCTC-C-TCGGCCCCCCCCCTACCCCCCCC--ATAATAAACATAGGAGAA------ATCAGCACACAAAACTA--CTGAAGATACCCCCTCATCTCT--CCCTATGTATAATCTTACATTAATGGTTTGCCCCATGAATATTAAGCAGGAATTTCCCTTCAAATATTTTAGTCTAAATAAGCCTTCGTACAGAATATTTAG----TCCTCATTTTC-TGGTCGTTCAATGCAACACGGATT--AATGG-ATCTT-ACTAACCATGGCTATCC-TTGAT-CAAGKGGKGTCTYTTAATCTAGTA-CTTCCCGTGAAACCCTCTATCCTTCCATAGAATGCTAACCATTCGACTTYTCACG [...]
-
->Morelia amethistina
-?ACCACACCCCTCACTTCCTC--------------------CAACCATAGTCTGTAA-TTTACAGACTATGGT--CCATGCCTTAATATA-AAGCCAAAAATCCATATAATTTACCACAAAATAAAG-----CTCTCTC-TCGGCCCCCCCCCTACCCCCCCCC--AAAAAAACATTGGGGAA------ACCGGCACACAAAACCA--TTAAAAAACTCTTAACAAACCT--CTCTATGTATAATCTTACATTAATGGTTTGCCCCATGAATATTAAGCAGGAATTTCCCTTTTATTATTTTAGTCTAAAATGGCCTTTGTACAAAATATTCTG----TCCTCATTTTCTTGGTCGTTCTATGCAGCATGAGCT--AACTA-ATCTT-ATTAATCATGGATATTC-TTAAC-CTARGGGTGTCTCTTAGTCTAGCG-CTTCCCGTGAAATCCTCTATCCTTCCATAGAATGCTAACCATTCGACTTCTCACG [...]
-
->Morelia oenpelliensis
-?GCCAC-MCCCTCACTTCCT---------------------TAACCATAGTCTGTAA-TTTACAGACTATGGT--CCATGCCTTAATATA-AAACCAGAAATCCATATAATTTACCACCAAATAAAG-----YTYTYTY-TYGGCCCCCCCCCTACCCCCCCCC--AAAGAA-CATTGGGAGA------ACCGGCACACAAAATTA--TTAGAAGACTTTTAACATACCC--CTCTATGGATAATTTTACATTAATGGTTTGCCTCATGRATATTAAGCAGGGAWTTCCCTTTTATTATTTTAGTCTAAAACGGCCCTTGTACCAGACATTCCG----TCCTCATTCTCCTGGTCGTTCTATGCAGCATGAGTT--AACCA-ATCTT-ATTGATCATGGATATTCCTTGAC-CTAAGGGTGTSTCTTATCCTAGCA-CTTCCCGTGAAATCCT-TATCCTTCCATAGAATGCTAACCATTCGACTTCTCACG [...]
-
->Morelia boeleni
-??AAACAACCCTCACTTCCTT--------------------CAACCATAGTCTGGA---TTCCAGACTATGGT--TGTTACCTAAAAAACTAAAGAAAAAATCCATATAAAC----------TAAAAA----CTCTCTC-TCGGCCCCCCCCCTACMCCCCCC---GGGTCAGCACAAAAAC-------ATCAC---------------CCAAAAATCCCCCTTTTT-CC--CCCTATGTATAATCTTACATTAATGGTTTGCCCCATGAATAATAAGCAGGAATTTCCCTTTAAATATTTTAGTCTAAAATAGCCTTT-TACATAAAATTATG----TCCTCATTTCT-TGGTCGTTCAATGCAGCACGGATT--AATAT-ATCTT-ATTGATCATGGATATCC-TTGGT-CTAATGGTGTCTCTTAGTCTAACA-CTTCCCGTGAAATCCTCTATCCTTCCATAGAATGCTAACCATTCGACTTCTCACG [...]
-
->Morelia viridisS
-?A-ATCAACCCTCACTTCCTCC-------------------TAGCCATAGTCTGTAAG-TTACAGACTATGGCT--CATGCCTTAATATATAAACCAAAAACCCATATAAT-CACTGAACAATAAAA-----CTYTYTYCTCGGCCCCCCCCCTACCCCCCCC---GGAAAACCATAAAA---------ATCAGCACATAAATAAA--CCTACTAATCCCATTGCTTCCT---CCTATGTATAATCTTACATTAATGGTTTGCCCCATGAATATTAAGCAGGAATTTCCCTTCAAATATTTTAGCCTAAATTAGCTTCCGTACAAAATATCTAG----CCCTCATTTTC-TGGTCGTTCAATGCAATCGGGGTT--AATAA-ATCTT-ACTAACCATGGATATCC-TTGAT-CAGGTGGTGTCTCTTAATTTAGTA-CTTCCCGTGAAATCCTCTATCCTTCCATAGAATGCTAACCATTCGACTTCTCACG [...]
-
->Morelia viridisN
-?A-CTCAACCCTCACTTCCTTC-------------------CAGCCATAGTCTGTAAA-TTACAGGCTATGGCT--CATACCTTGATATATAAACCAAAAACCCATATAATTCACCACACAACAAAA-----CTCTCTCCTCGGCCCCCCCC-TACCCCCCCCC--GGAAAAACATAGAAGAA------GTCAGCACAATTAAACT--TACTGATAACCCCTTGCTTCCT--CCCTATGTATAATCTTACATTAATGGTTTGCCCCATGAATATTAAGCAGGAATTTCCCTTCAAATATTTTAGCCTAAAATAGCCTTTGTACAAAATACCTTG----TCCTCATTTTC-TGGTCGTYCAATGCAATCGGGTCT--AACAA-ATCTT-ACTAACCATGGATATCC-TTGAT-CAAGTTGTGTCTCTTAATCTAGTAACTTCCCGTGAAATCCTCTATCCT-CCATAGAATGCTAACCATTCGACTTCTCACG [...]
-
->Liasis olivaceus
-?GCCACAACCCTCACTTCCCC-----------------ACCTAACCATAGTCTGTAAA-TTACAGACTATGGT--TGATACCTTAATACA-AAGCCGAAACCCCATATAAACAGCACCACAACAAAA----CTCTACTC-TCGGCCCCCCCCCTACMCCCCCCC--ACAAAAACATAGGARAA------ATCAGCACAAACAATC---MCCTAAAATCCCCCCTTAACCC--CCCTATGTATAATCTTACATTAATGGTTTGCCCCATGAATATTAAGCAGGAATTCCCCTTTAAATATTTTAGTCTGAATTAGCCCTTGTACAAAAAATCTTG----TCCTCATTTTC-TGGTCGTTCAATGCAGCACGGATT--AATAG-ATCTT-ATTAACCATGGCTATCC-TTGAT-CTAGTGGTGTCCCATGATCTAGTA-CTTCCCGTGAAATCCTCTATCCTTCCATTGAATGCTAACCATTCGACTTCTCACG [...]
-
->Liasis mackloti
-?ACCACAACCCTCACTTCCTT--------------------CAGCCATAGTCTGTAA-TTTACAGGCTATGGC--TGATACCTTAATATA-AAACCAAAATCCCATATAAATACCACCACAACAAAG-----CTCTCTC-TCGGCCCCCCCCCTACMCCCCCCC--ACCAAAACATAGAARAA------ATCAGCACAATAAATA---CTARAAGTATTTGCTTCCTTCC--CCCTATGTATAATCTTACATTAATGGTTTGCCCCATGAATATTTAGCAGGAATTTCCCTTTAAATATTTTAGCCTAAAATAGCCTTTGTACACAAAACTATG----TCCTCATTTCT-TGGTCGTTCAATGCAGCACGGATT--AATAG-ATTTT-AATAACCATGACTATCC-TTGAT-CTAGTGGTGTCCCATGATTTAGTA-CTTCCCGTGAAATCCTCTATCCTTCCATTGAATGCTAACCATTCGACTTCTCACG [...]
-
->Liasis fuscus
-?ACCACAACCCTCACTTCCTC--------------------CAGCCATAGTCTGTAA-TTTACAGGCTATGGC--TGATACCTTAATATA-AAACCAAAATCCCATATAAATACCACCACAACAAAG-----CTCTCTY-TCGGCCCCCCCCCTACCCCCCCCC--ACCAAAACATAGAAGAA------ATCAGCACA-AAATAACA-CTAGAAGTATTACTTCCTTGCC--CCCTATGTATAATCTTACATTAATGGTTTGCCCCATGAATATTTAGCAGGAATTTCCCTTCAAATATTTTAGCCTAAAATAGCCTTCATACATAAAATTATG----TCCTCATTTCT-TGGTCGTTCAATGCAGCACGGATT--AATGG-ATTTT-AATAACCATGACTATCC-TTGAT-CTAGTGGTGTCCCATGATTTAGTA-CTTCCCGTGAAATCCTCTATCCTTCCATTGAATGCTAACCATTCGACTTCTCACG [...]
-
->Liasis albertisii
-????GCTCCTCTCACTTCCTC--------------------AGACCACAGTCTGCAA---TGCAGACTGTGGTTTTGTGCCCAGAATATA--AACCAAAAAACCATATAAACAACACCRCGACAAAAAAGA--TCTCTC-TCGGCCCCCCCCMTACMCCCCCCC--AAAAAAACATARAGGAA------ATCAG--------------------TTCATARACT--------CTCTATGTATAATCTTACATTAATGGTTTGCCCCATGAATATTAAGCAGGAATTCCCCTTTAAATATTTTAATCTAAATTAGCCTTCGTACACAAAATTCAG----TCCTCATTCTC-TGGTCGTTCAATGCAGCACGGATT--AATCA-GTCTT-ACTAACCATGGATATCC-TTGAT-CTAGTCGTCTCTCTTAGTCTAACA-CTTCCCGTGAAACCCTCTATCCTTCCACTGAATGCTAACCATTCGACTTCTCACG [...]
-
->Apodora papuana
-?GCCACAACCCTCAMTTCCTT--------------------CAGCCACAGTYTGTAA-TTTACAGACTGTGGC--CCATGCCTCAATATA-AAGCCGAAAATCCATATAAATAACACCAAAACAAAG-----CTYTCCC-TYGGCCCCCCCCCTACCCCCCCCC--AAAAAAATATAGAGAA------CTATAGAACAAATAACCA---CCAAGAAGTTCACTATCCCCC--TCCTATGTATAATCTTACATTAATGGTTTGCCCCATGAATATTAAGCCGGAATTTCCCTTTAAATATTTTAGTCTAAATATGCCCTTGTACACAAAATTCAG----TCCTCATTTCT-TGGTCGTTCAATGCAGCCAGGAAT--AATCA-ATCTT-ATTAACCATGGATATCC-TTGAT-CTAGTGGTGTCTCTTGGTCTAGTA-CTTCCCGTGAAATCCTCTATCCTTCCATTGAATGCTAACCATTCGACTTCTCACG [...]
-
->Bothrochilus boa
-??GCACCGCCCTCACTTCCTC--------------------CGACCGCAGTCTGCC----AGCAGGCTGCGGTC-GCATGCCCAAAAACACAAACCAAAAAACCATATAAACAACGCCGCAACAAAAGG----YCYCYC-TCGGCCCCCCCCCTAC-CCCCCCC-ACAAAAAACATAGAGAAA------ATCAG--------------------TTTTCACAC---------CCCTATGTATAATCTTACATTAATGGTTTGCCCCATGAATATTAAGCAGGAATTTCCCTTCAAATATTTTAATCTAAAATAGCCTTTGTACATAAAATTTGC----CCCTCATTTCT-TGGTCGTTCAATGCAGCATGGATT--AATCA-GTCTT-ATTAACCATGGATATTC-TCAGT-CTAGTTGTGTCTCTTAGCCTAACA-CTTCCCGTGAAATCCTCTATCCTTCCACTGAATGCTAACCATTCGACTTCTCACG [...]
-
->Antaresia maculosa
-?ACCACAACCCTCACTTCCTCC--------------------AGCCATAGTCTGTAAATTTACAGACTATGGC--TGATACCTCAACATA-CAGCCAAAATTCCATATAATAT-CCCCACAACAA-----CTYTYTYTCYTYGGCCCCCCCCCTACCCCCCCC---ATCCAAATATATAAGAA------ATCAGCACAATAAACCT--ACTAGGAATTGCCAATAACTCC--CCCTATGTATAATCTTACATTAATGGTTTGCCCCATGAATATTAAGCAGGAATTCCCCTTCAAATATTTTAGTCTAAAATAGCCTTTGTACAGAATATTTAG----TCCTCATTTCT-TGGTCGTTCAATGCAACACGGATT---ATCAGTTCTT-ACTAACCATGGATATCC-TTGAT-CTAGTGGTGTCTCTTAATCTAGTA-CTTCCCGTGAAATCCTCTATCCTTCCATAGAATGCTAACCATTCGACTTCTCACG [...]
-
->Antaresia stimsoni
-?ACCACAACCCTCAMTTCCTTTCAGCCATAGTCTGTAAATACAGCCATAGTCTGTAAA--TACAGACTATGGC--TGATACCGCCATATA-GAGCCGAAAACCCATATAATATGCCACACAATAAA------CTYTYTCCTYGGCCCCCCCCCTACCCCCCCCC--ATTAAAACATATGGGAA------AACAGCACAAATACATA--TTAAAGAATGTCCAATTAATCC--TCCTATGTATAATCTTACATTAATGGTTTGCCCCATGAATATTAAGCAGGAATTCCCCTTTAAATATTTTAGCCTAAAATGTCCTTCGTACAGAATATTAAG----TCCTCATTTTC-TGGTCGTTCAATGCAATCAGGATT--AATCA-TTCTT-ACTAACCATGGCTATCC-TTGAT-CTAGTGGTGTCCCTTAATTTAGTA-CTTCCCGTGAAATCCTCTATCCTTCCATAGAATGCTAACCATTCGACTTCTCACG [...]
-
->Antaresia childreni
-?GCCACAACCCTCACTTCCTTCCAGCCATAGTCTGTAAATACAGCCATAGTCTGTAAA--TACAGACTATGGC--TGATGCCGCCATATA-GAGCCGAAAAACCATATAATATACCACACAATAAA------CTCTCTCCTCGGCCCCCCCCCTACCCCCCCCC--ATTAAAACATATGGGAA------AGCAGCACAAATACATA--TTAAAGAATGTCCAATTAATCC--TCCTATGTATAATCTTACATTAATGGTTTGCCCCATGAATATTAAGCAGGAATTCCCCTTTAAATATTTTAGTCTAAAATGTCCTTTGTACAGAATATTTAG----CCCTCATTCTC-TGGTCGTTCAATGCAATCGGGATT--AATCA-TTCTT-AATAACCATGACTATCC-TTGAT-CTAGTGGTGTCCCTTGATTTAGTA-CTTCCCGTGAAATCCTCTATCCTTTCATAGAATGCTAACCATTCGACTTCTCACG [...]
-
->Antaresia perthensis
-?ATCA-AACCC------------------------AAAACTAAGCCACAGCCTGTTT--AAACAGGCTGTGGC--TGATGCCGCCATACA-AAGCCGAAATTCCATATAACACACCACAATATAAA------CTYTYTCCTYGGCCCCCCCCCTACCCCCCCCC--AACCAAACATATAAGAA------AACAGAACAGTGAACAA--TTAGAGATTCTCCAATTAACTC--TCCTATGTATAATCTTACATTAATGGTTTGCCCCATGGATATTAAGCAGGAATTTCCCTTCAAATATTTTAGTCTAAAATAGCCTTTGTACAGTCTATTTAG----TCCTCATTTTC-TGGTCGTTCAATGCAGCATGGATT--AATCA-TTCTT-ACCGATCATGACTATCC-TTGAT-CTAGTGGTGTCTCTTAATTTAGTA-CTTCCCGTGAAATCCTCTATCCTTCCCTAGAATGCTAACCATTCGACTTCTCACG [...]
-
->Antaresia melanocephalus
-?ACCACA----------CCTTCC-----------------CCAACCATAGTCTGTAACC--ACAGACTATGGT--CGATGTCTCAATATA-AAGCCAAAAATCTATATAAATAAA-ACACAATAAAG-----CTCTCTCCTCGGCCCCCCCC-TACMCCCCCC--ACAAGAAATATAGAAGAA------ACCAGCACATAAGACTA--TAAGGATTCCCCCCTTCTTTCC--CCCTATGTATAATCTTACATTAATGGTTTGCCCCATGAATATTAAGCCGGAATTCCCATTTAAATATTTTAATCTAAATTTGCCTTTGTACTTAAAATTCAG----TCCTCATTTCT-TGGTCGTTCAATGCAGCACGGATT--AATAG-ATCTT-ATTAACCATGGCTATCC-TTGAT-CTAGTGGTGTCCCATGATCTAGCT-CTTCCCGTGAAATCCTCTATCCTTCCTCTGAATGCTAACCATTCGACTTCTCACG [...]
-
->Antaresia ramsayi
-?ACCACG----------CCTTCC-----------------CCA-CCATAGTCTGTAAA-TTACAGACTATGGT--CGTTGCCTCAACATA-AAGCCAAAAACCCATATAAACAAAAC--ATATAAA----CTCTCTCTCCTCGACCCCCCCC-TACCCCCCCC--ACAAGAAATATAGAAGAA------ACCAGCACATAAGACTA--TAAGGATTTCCCCCTCCTTTCC--CCCTATGTATAATCTTACATTAATGGTTTGCCCCATGAATATTAAGCCGGAATTCCCATTTAAATATTTTAATCTAAATT-GCCTTCGTACCTAAAATTCAG----TCCTCATTTCT-TGGTCGTTCAATGCAGCACGGATT--AATAG-ATCTT-ATTAACCATGGCTATCC-TTGAT-CTAGTGGTGTCCCATGATCTAGCT-CTTCCCGTGAAATCCTCTATCCTTCCTCTGAATGCTAACCATTCGACTTCTCACG [...]
-
->Python reticulatus
-??CCATCACCCTCACTTCCTCC--------------------AACCATAGCCAAATA-TTT---GGCTATGGTT-TCATGCCAAAATATATCAACCAAAAACCCATATTAATATAATGCTATAAAATGG-------TCCCTCGACCCCCCCCCTACCCCCCCC--AAAAAA--CATAAGGAAA------GTCCG-CACATCATAAACCTCGTACTTTTCCCTATTTTTT-GCTCCTATGTATAATCTTACATTAATGGCTTGCCCCATGGATAATAAGCAGGAATTTCCCTTTTAATATTTTAGTCTAAATTAGCCTTCGTACAGGTAATTCAGT----CCTCATTTTC-TGGTCGTTCAATGCAGCATGGATT--AATAA-TTGTT-GATAACCATGGATATCC-TTGAT-CTAGTTGTGTCCCTTGATTTAACA-CTTCCCGTGAAATCCTCTATCCTTCCGCGTAATGCTAACCATTCGACTTCTCACG [...]
-
->Python timoriensis
-TA-CACCACCA------------------------------AGACCATAGTCGGTAAATC----GACTATGGTCTTTTTACGCCAAAAATACAACCAAAAATCCATATTAATATAGCAATATAAAATAG-------CCCCTCGACCCCCCCCCTACCCCCCCCC-ACAAAAA-TATAAAGAAA------ACCCG-TATGTCATAAACTCCGAATTTTTCCCTATTTTT--GCCCCTATGTATAATCATACATTATTGGCTTGCCCCATGGATAATAAGCAAGAATTCCCTTTTTAATATTTTAGTCTAAAATTGCCTTT-TACAAAAAACTCAGT----CCTCATTTCT-TGGTCGTTCAATGCAGCATGGGCT--AATAA-TTATT-AATAACCATGACTATCC-TTGAT-CTAGTTGTGTCTCTTAGTTTGGTA-CTTCCCGTGAAATCCTCTATCCTTCCGCGTAATGCTAACCATTCGACTTCTCACG [...]
-
->Python sebae
-?????????????????????????????????????????????????????????????????????????????CTTCCTCAGACAC-AAACTCA-ACCTCAAATAAAAATAAAAATAAT-----------CCTACCTCGGCCCCCCCCCTACCCCCCCC--ACTATTT-CATATGGAA-------TACAGGATATATAC-TTTGTTAGAAAAATCCATATTTTTTCTACCCTATGTATAATCTTACATTAATGGCTTGCCCCATGAATAATAAGCGGGAATTCCTAATAAAATATTTTAGCCTAAAATTGCCTTCGTACATAAAATT-AGC---TCCACATTTCTTTGGTCGTTCAATGCTGCANGGATTATAGTAC-TTCTT-AATACACATGACTATCC-TTGAT-CTAGTCGTCTCTCTTAACTTAACA-CTTCCCGTGAAATCCTCTATCCTTTCATA-CATGCTAACCATTCGACTTCTCACG [...]
-
->Python molurus
-?????????????????????????????????????????????????????????????????????????????CTTCCTCAGACAC-AAACTCA-ACCTCAAATAAAAATAAAAACAAT-----------CCTACCTCGGCCCCCCCCCTACCCCCCCCC-ACTATTT-CATATGGAA-------TACAGGATATATACATTTGTTAGAAAAATCCATATTTTTTCTACCCTATGTATAATCTTACATTAATGGCTTGCCCCATGAATAATAAGCGGGAATTCCTAATAAAATATTTTAGCCTAAAATTGCCTTCGTACATAAAATT-AGC---TCCACATTTCTTTGGTCGTTCAATGCTGCACGGATTATAGTAC-TTCTT-AATACACATGACTATCC-TTGAT-CTAGTCGTCTCTCTTAACTTAACA-CTTCCCGTGAAATCCTCTATCCTTTCATA-CATGCTAACCATTCGACTTCTCACG [...]
-
->Python curtus
-?CCACAAAA-----------------------------------CCAT-----------------ATTAATYTT--CCCACCTATAAYTA-AACCCGAAATTCCCTATAAA--CACAACAAAAAATA-----CTCCTTCYTCGCCCCCCCCC-TACCCCCCCCCCAC-ATTT-AATATAAGAT------TCTGG--AATATACACACATCGTTAATTTCCATATTTTTT--ATGCTATGTATAATCTTACATTAATGGTTTGCCCCATGAATAATAAGCCGGAATTCCATATTAAATATTTTAGCCTAAAATTGCCTTAGTACCTAAAACT-AGTCCTTCCTCATTTTC-TGGTCGTTCAATGCTGCATGGATT--AATCA-TTCTTTAACAGATATGTCTATCC-TTGAT-CTAGTCGTCTCTCTTAACCTGGCG-CTTCCCGTGAAATCCTCTATCCTTTCATA-CATGCTAACCATTCGACTTCTCACG [...]
-
->Python regius
-?????????????????????????????????????????????????????????????????????????????TTACCTCAAT----AAACCCAAACCCACTATAAAAATATAA-----------------CCCCCTCGGCCCCCCCCCTTCCCCCCCCC-ACTTACA---TAGGAGGA------TTTAG-ATATATACACATATTAGGATTTTCCCTATCTTTTC-ACCCTATGTATAATCTTACATTAATGGTTTGCCCCATGAATATTAAACCAGAATTTCCAATTAAATATTTTAACCTAAAATTGCCTTCGTACACTACACC-AGT---CCCTCATTTCT-TGGTCGTTCAATGCTGCACGGATTATAGTAC-TTATT-AATGCTCATGTCTATCC-TTGGT-CTAGTGGTGTCTCTTAGTTTAACA-CTTCCCGTGAAATCCTCTATCCTTTCATA-CATGCTAACCATTCGACTTCTCACG [...]
-
->Candoia aspera
-?????????????????????????????????????????????????????????????????????????????????????????????????AAA----CTA-------------------------CT-CTCTGG-GACCCCCCCC-TACCCCCCCC--AGATAAACTATACTAAAATTTACCTGAGTACACTATGTAAATATTGTACATTAGTCTATATTTC--ATGCTATGTATAATCATACATTAATGATCTGCCCCATGGATAATAAGCAGGAATTTCCCTATTAATATTTCAGCCTATTAATGCCTTAGTACAGTCAGTGTGTC---ACCACATCAT--GGGTCGTTTTATGCAGCAAGGATTA-ACTA--TTATT-GGTAATCATGCCTATCC--TGATCCAAGTTGTC-CTCTTAATCTACCTA-CTCACGTGAAATCCTCTATCCTTCCAAGAATGGCTAACAGTCCTGCTTTTCACG [...]
-
->Morelia nauta
-???????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????? [...]
-
->Morelia clastolepis
-???????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????? [...]
-
->Morelia tracyae
-???????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????? [...]
-
->Morelia kinghorni
-???????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????? [...]
-
diff --git a/doc/source/examples/pythonidae.mb.run1.t b/doc/source/examples/pythonidae.mb.run1.t
deleted file mode 100644
index f04449d..0000000
--- a/doc/source/examples/pythonidae.mb.run1.t
+++ /dev/null
@@ -1,108 +0,0 @@
-#NEXUS
-
-Begin Trees;
-tree 1 = (((Candoia_aspera:0.1,Antaresia_melanocephalus:0.1):0.1,(Python_reticulatus:0.1,(Morelia_carinata:0.1,((Python_sebae:0.1,(Morelia_boeleni:0.1,(Antaresia_perthensis:0.1,(Liasis_olivaceus:0.1,Morelia_amethistina:0.1):0.1):0.1):0.1):0.1,((((Python_curtus:0.1,Bothrochilus_boa:0.1):0.1,((Morelia_nauta:0.1,Morelia_kinghorni:0.1047997):0.1067979,(((Python_regius:0.1,Python_molurus:0.1):0.1,Antaresia_stimsoni:0.1):0.1,Morelia_oenpelliensis:0.1):0.1):0.1):0.1,Morelia_bredli:0.1):0.109212 [...]
-tree 2 = (Candoia_aspera:0.4762597,(Loxocemus_bicolor:0.3099459,(((((Morelia_carinata:0.06391194,(Morelia_viridisS:0.05292008,Morelia_viridisN:0.02868007):0.02046695):0.008016698,(Antaresia_maculosa:0.06145015,((Antaresia_childreni:0.01912568,Antaresia_stimsoni:0.01455259):0.0399552,Antaresia_perthensis:0.07503277):0.01655454):0.01033184):0.01796919,((((Morelia_oenpelliensis:0.06645163,((((Morelia_nauta:0.005312666,Morelia_kinghorni:0.005963152):0.00842691,Morelia_clastolepis:0.001486153 [...]
-tree 3 = ((((((Python_molurus:0.03712269,Python_sebae:0.06592633):0.01511683,Python_curtus:0.09088368):0.009835215,Python_regius:0.1158111):0.03967019,(((Morelia_boeleni:0.07332749,((((((Morelia_clastolepis:0.002847526,(Morelia_kinghorni:0.009421269,Morelia_nauta:0.01055463):0.004331489):0.008518643,Morelia_amethistina:0.02552891):0.009771246,Morelia_tracyae:0.03928368):0.02558274,Morelia_oenpelliensis:0.05809432):0.00247521,(Morelia_spilota:0.02792733,Morelia_bredli:0.02176933):0.037122 [...]
-tree 4 = ((((((Morelia_boeleni:0.07563666,(((Apodora_papuana:0.06307092,(Liasis_olivaceus:0.03196349,(Liasis_fuscus:0.01951866,Liasis_mackloti:0.01292934):0.04061255):0.01538865):0.01399516,(Antaresia_ramsayi:0.03770951,Antaresia_melanocephalus:0.04296104):0.05789423):0.002908893,(Bothrochilus_boa:0.05269564,Liasis_albertisii:0.04802604):0.02949775):0.009274073):0.003279487,(((Morelia_spilota:0.02118692,Morelia_bredli:0.03211151):0.03342758,(((Morelia_amethistina:0.0251708,((Morelia_naut [...]
-tree 5 = ((Loxocemus_bicolor:0.3065334,Candoia_aspera:0.5468094):0.03675571,((((Morelia_boeleni:0.08892604,(((Morelia_tracyae:0.04687283,((Morelia_clastolepis:0.002615561,(Morelia_kinghorni:0.01074123,Morelia_nauta:0.009297935):0.002390255):0.0155873,Morelia_amethistina:0.02747446):0.002329138):0.0294499,Morelia_oenpelliensis:0.05901609):0.006529936,(Morelia_bredli:0.03601919,Morelia_spilota:0.02157804):0.0297887):0.03700966):0.004366086,((((Antaresia_melanocephalus:0.02525966,Antaresia_ [...]
-tree 6 = ((((Python_regius:0.1199266,((Python_sebae:0.07556567,Python_molurus:0.03590909):0.02124586,Python_curtus:0.08389774):0.03731226):0.02911354,((Python_timoriensis:0.06878349,Python_reticulatus:0.04067773):0.07340706,((((Morelia_spilota:0.02607113,Morelia_bredli:0.02415925):0.03316417,((Morelia_amethistina:0.02002678,(Morelia_tracyae:0.03658112,(Morelia_clastolepis:0.002892779,(Morelia_kinghorni:0.01044691,Morelia_nauta:0.006823334):0.004765074):0.01389969):0.004826785):0.0482326, [...]
-tree 7 = ((Loxocemus_bicolor:0.2622645,((((((Antaresia_maculosa:0.08275333,((Antaresia_childreni:0.02108157,Antaresia_stimsoni:0.01468215):0.04234037,Antaresia_perthensis:0.08253806):0.01070602):0.01162065,((Morelia_viridisN:0.0339944,Morelia_viridisS:0.04631423):0.01897653,Morelia_carinata:0.06863713):0.01176408):0.02333936,(((Liasis_fuscus:0.02156543,Liasis_mackloti:0.009183889):0.04837197,(Liasis_olivaceus:0.03342706,Apodora_papuana:0.06321774):0.01467099):0.01747876,(Antaresia_ramsay [...]
-tree 8 = (Candoia_aspera:0.3955487,(Loxocemus_bicolor:0.2885792,(((Python_reticulatus:0.04955104,Python_timoriensis:0.07814811):0.06712344,(((((((Morelia_amethistina:0.02679172,((Morelia_nauta:0.007670258,Morelia_kinghorni:0.006021479):0.004993893,Morelia_clastolepis:0.005375612):0.01302051):0.007462117,Morelia_tracyae:0.05007623):0.02318133,Morelia_oenpelliensis:0.06267219):0.006399419,(Morelia_spilota:0.02123433,Morelia_bredli:0.02676302):0.03443132):0.01874034,Morelia_boeleni:0.090095 [...]
-tree 9 = (Candoia_aspera:0.4470348,((((Python_curtus:0.1002054,(Python_sebae:0.07321433,Python_molurus:0.03805384):0.02352157):0.01523374,Python_regius:0.1328755):0.03857945,((((((Morelia_spilota:0.02935402,Morelia_bredli:0.01963859):0.03620548,(Morelia_oenpelliensis:0.05849876,(Morelia_tracyae:0.05676993,(Morelia_amethistina:0.01685644,(Morelia_clastolepis:0.006751504,(Morelia_nauta:0.007222068,Morelia_kinghorni:0.005522163):0.003674505):0.02162493):0.004586566):0.04411381):0.008189308) [...]
-tree 10 = ((((Python_regius:0.106843,(Python_curtus:0.1020408,(Python_sebae:0.08391912,Python_molurus:0.04121956):0.01197351):0.02101561):0.03577634,((((((Apodora_papuana:0.0566616,((Liasis_mackloti:0.01371158,Liasis_fuscus:0.02202989):0.04286348,Liasis_olivaceus:0.04303408):0.00436549):0.03190665,(Antaresia_ramsayi:0.03342611,Antaresia_melanocephalus:0.06189206):0.04868849):0.004697558,(((Morelia_viridisS:0.05331399,Morelia_viridisN:0.02643216):0.02252944,Morelia_carinata:0.06909746):0. [...]
-tree 11 = (Candoia_aspera:0.3846478,(Loxocemus_bicolor:0.2549529,((((Python_sebae:0.06807004,Python_molurus:0.03043545):0.01465748,Python_curtus:0.09600346):0.01247736,Python_regius:0.09841203):0.03751737,((Python_timoriensis:0.06586915,Python_reticulatus:0.04536943):0.07520284,(((((Antaresia_childreni:0.01730015,Antaresia_stimsoni:0.01262602):0.02887657,Antaresia_perthensis:0.06405242):0.01385353,Antaresia_maculosa:0.07585236):0.008884809,(Morelia_carinata:0.05554095,(Morelia_viridisS:0 [...]
-tree 12 = ((Loxocemus_bicolor:0.2306511,((Python_regius:0.1249936,(Python_curtus:0.1161678,(Python_sebae:0.07594277,Python_molurus:0.04880214):0.01050635):0.009484123):0.05837598,((((Bothrochilus_boa:0.06362487,Liasis_albertisii:0.04429535):0.05290393,(Morelia_boeleni:0.0975965,(((Morelia_tracyae:0.02920131,(Morelia_amethistina:0.02703314,((Morelia_kinghorni:0.0078452,Morelia_nauta:0.005866894):0.005442751,Morelia_clastolepis:0.003560364):0.01476575):0.008177027):0.02992863,Morelia_oenpe [...]
-tree 13 = (Candoia_aspera:0.5080599,(Loxocemus_bicolor:0.2965857,(((Python_reticulatus:0.05785765,Python_timoriensis:0.07319806):0.05928309,(((Bothrochilus_boa:0.06122711,Liasis_albertisii:0.06414279):0.03891576,(((((Liasis_fuscus:0.01426001,Liasis_mackloti:0.01729048):0.04258978,Liasis_olivaceus:0.04600247):0.0113502,Apodora_papuana:0.05986282):0.01038398,(Antaresia_ramsayi:0.03308029,Antaresia_melanocephalus:0.0411259):0.04100124):0.01325467,((Morelia_carinata:0.06009035,(Morelia_virid [...]
-tree 14 = (((((Python_reticulatus:0.06098649,Python_timoriensis:0.06479356):0.06867842,((Morelia_boeleni:0.1040542,((Bothrochilus_boa:0.05386548,Liasis_albertisii:0.06105181):0.04408371,(((Liasis_olivaceus:0.04827163,(Liasis_fuscus:0.01955875,Liasis_mackloti:0.01269835):0.03672677):0.01628567,Apodora_papuana:0.06293987):0.03062699,(Antaresia_ramsayi:0.03533973,Antaresia_melanocephalus:0.04486755):0.05072205):0.00297664):0.004512241):0.001240846,(((Morelia_carinata:0.05786984,(Morelia_vir [...]
-tree 15 = (((((Python_reticulatus:0.05439983,Python_timoriensis:0.08321393):0.04871133,((Morelia_boeleni:0.08585758,((Bothrochilus_boa:0.05362335,Liasis_albertisii:0.04403941):0.03032729,((Morelia_oenpelliensis:0.05763201,(((Morelia_kinghorni:0.00341021,Morelia_clastolepis:0.006671437):0.007917761,Morelia_nauta:0.001951335):0.01049725,(Morelia_tracyae:0.05625849,Morelia_amethistina:0.02860654):0.0006372106):0.03067896):0.01095649,(Morelia_spilota:0.02808814,Morelia_bredli:0.03112591):0.0 [...]
-tree 16 = (((((Python_reticulatus:0.04805722,Python_timoriensis:0.05322303):0.0782823,(((((Antaresia_perthensis:0.06330741,(Antaresia_childreni:0.02077168,Antaresia_stimsoni:0.01869424):0.03122662):0.01200088,Antaresia_maculosa:0.05309401):0.006744738,(Morelia_carinata:0.073235,(Morelia_viridisN:0.03121673,Morelia_viridisS:0.04001572):0.01598083):0.01197911):0.01512452,((Apodora_papuana:0.03974916,((Liasis_fuscus:0.01597086,Liasis_mackloti:0.01058074):0.05649681,Liasis_olivaceus:0.043976 [...]
-tree 17 = ((Loxocemus_bicolor:0.2487605,((Python_regius:0.1233404,(Python_curtus:0.1077844,(Python_molurus:0.0373181,Python_sebae:0.0759607):0.02438578):0.01916703):0.03225566,((Python_reticulatus:0.06111238,Python_timoriensis:0.06333372):0.06545558,(((Morelia_spilota:0.0228283,Morelia_bredli:0.02804907):0.03880804,((((Morelia_nauta:0.001533473,(Morelia_clastolepis:0.003356968,Morelia_kinghorni:0.007887915):0.005664857):0.01199247,Morelia_amethistina:0.02933171):0.01226355,Morelia_tracya [...]
-tree 18 = ((Loxocemus_bicolor:0.2507472,((Python_regius:0.1105118,(Python_curtus:0.1086967,(Python_sebae:0.07728629,Python_molurus:0.0423532):0.0213407):0.01968316):0.06155854,((Python_timoriensis:0.07817613,Python_reticulatus:0.07259407):0.07650008,(((((Morelia_viridisS:0.0465201,Morelia_viridisN:0.02961522):0.02715512,Morelia_carinata:0.07196027):0.01556349,(Antaresia_maculosa:0.06562058,((Antaresia_stimsoni:0.01004443,Antaresia_childreni:0.02254039):0.04174026,Antaresia_perthensis:0.0 [...]
-tree 19 = (Candoia_aspera:0.3965166,(Loxocemus_bicolor:0.2679677,((Python_regius:0.1029863,(Python_curtus:0.09892457,(Python_sebae:0.07480435,Python_molurus:0.04166847):0.01203458):0.03734556):0.02161339,((Python_timoriensis:0.0483175,Python_reticulatus:0.05879262):0.06698997,(((Bothrochilus_boa:0.06842803,Liasis_albertisii:0.05331119):0.0440924,((Antaresia_melanocephalus:0.0347434,Antaresia_ramsayi:0.03256232):0.03610559,(Apodora_papuana:0.07975386,((Liasis_mackloti:0.01064635,Liasis_fu [...]
-tree 20 = (Candoia_aspera:0.4488251,(Loxocemus_bicolor:0.2850208,((Python_regius:0.1072431,(Python_curtus:0.07993694,(Python_sebae:0.07800197,Python_molurus:0.03348335):0.01611311):0.008776165):0.03537475,((Python_reticulatus:0.05680797,Python_timoriensis:0.06572175):0.05325016,((((Antaresia_perthensis:0.06941898,(Antaresia_childreni:0.0139039,Antaresia_stimsoni:0.0148759):0.04123835):0.00879989,Antaresia_maculosa:0.06008866):0.007626708,(Morelia_carinata:0.07607666,(Morelia_viridisN:0.0 [...]
-tree 21 = ((((Python_timoriensis:0.07117878,Python_reticulatus:0.04821365):0.07463146,(((((Antaresia_perthensis:0.08739655,(Antaresia_stimsoni:0.01621692,Antaresia_childreni:0.02665731):0.04022228):0.008193846,Antaresia_maculosa:0.07342905):0.001017085,((Morelia_viridisS:0.04622026,Morelia_viridisN:0.03667079):0.02958224,Morelia_carinata:0.06285014):0.01282166):0.02229121,(((((Morelia_clastolepis:0.003050844,(Morelia_kinghorni:0.003807813,Morelia_nauta:0.01326833):0.002467171):0.00738360 [...]
-tree 22 = ((Loxocemus_bicolor:0.196467,Candoia_aspera:0.4000064):0.04033051,((Python_regius:0.1172232,((Python_sebae:0.07022621,Python_molurus:0.03127386):0.01725967,Python_curtus:0.1201985):0.009464382):0.03286576,((Python_timoriensis:0.054655,Python_reticulatus:0.06552768):0.04240201,(((((Antaresia_perthensis:0.05941156,(Antaresia_stimsoni:0.009209314,Antaresia_childreni:0.02528722):0.03086887):0.01323638,Antaresia_maculosa:0.05655764):0.01615778,((Morelia_viridisS:0.03740166,Morelia_v [...]
-tree 23 = (Candoia_aspera:0.4592592,(((Python_regius:0.1337113,((Python_sebae:0.05325812,Python_molurus:0.04577269):0.01464595,Python_curtus:0.09770408):0.01604463):0.0451044,((Python_timoriensis:0.07054697,Python_reticulatus:0.06483624):0.07321957,((((Morelia_viridisS:0.04158552,Morelia_viridisN:0.03267045):0.0167798,Morelia_carinata:0.06104408):0.02706362,(Antaresia_maculosa:0.0674958,(Antaresia_perthensis:0.06282181,(Antaresia_stimsoni:0.02007935,Antaresia_childreni:0.01562126):0.0348 [...]
-tree 24 = (Candoia_aspera:0.416012,(((((Python_sebae:0.08152061,Python_molurus:0.04775603):0.02331853,Python_curtus:0.09187623):0.0268565,Python_regius:0.1253132):0.04677824,((Python_reticulatus:0.04722766,Python_timoriensis:0.06954232):0.05724026,((((Morelia_spilota:0.02565724,Morelia_bredli:0.02998293):0.03298402,((((Morelia_nauta:0.002384214,(Morelia_clastolepis:0.005820083,Morelia_kinghorni:0.004446333):0.001406536):0.008647775,Morelia_tracyae:0.05487271):0.01087026,Morelia_amethisti [...]
-tree 25 = ((Loxocemus_bicolor:0.2006045,Candoia_aspera:0.5955799):0.0444977,((Python_regius:0.1046038,((Python_sebae:0.08121141,Python_molurus:0.04485486):0.02542729,Python_curtus:0.09084656):0.0145274):0.05230496,((Python_timoriensis:0.07903435,Python_reticulatus:0.07460281):0.05455651,(((Bothrochilus_boa:0.05585555,Liasis_albertisii:0.05123584):0.03234854,(Morelia_boeleni:0.09132604,((Morelia_oenpelliensis:0.07046467,(Morelia_amethistina:0.0232165,(Morelia_tracyae:0.05046845,((Morelia_ [...]
-tree 26 = ((((((Python_sebae:0.09108678,Python_molurus:0.04955886):0.01999562,Python_curtus:0.1059653):0.01601986,Python_regius:0.1440779):0.02435115,((Python_reticulatus:0.06048541,Python_timoriensis:0.06863296):0.07562467,(((((Morelia_viridisN:0.03454344,Morelia_viridisS:0.05635091):0.02151505,Morelia_carinata:0.06198796):0.01203427,(Antaresia_maculosa:0.0845287,((Antaresia_childreni:0.03515405,Antaresia_stimsoni:0.007169672):0.04130242,Antaresia_perthensis:0.05833049):0.009794389):0.0 [...]
-tree 27 = (((((Python_timoriensis:0.05751875,Python_reticulatus:0.05970213):0.09181866,(((Antaresia_maculosa:0.06428122,((Antaresia_stimsoni:0.02158674,Antaresia_childreni:0.03257027):0.04245471,Antaresia_perthensis:0.06523106):0.01066557):0.008685391,((Morelia_viridisS:0.05196139,Morelia_viridisN:0.03425494):0.02249345,Morelia_carinata:0.07069562):0.01909782):0.01948604,((((Bothrochilus_boa:0.06369204,Liasis_albertisii:0.04518104):0.02424989,(((Liasis_mackloti:0.01199028,Liasis_fuscus:0 [...]
-tree 28 = (Candoia_aspera:0.4345551,(Loxocemus_bicolor:0.314093,((Python_regius:0.173824,(Python_curtus:0.1043669,(Python_sebae:0.07896053,Python_molurus:0.05467638):0.01587752):0.03999686):0.04129383,(((Morelia_boeleni:0.0936573,((((Liasis_olivaceus:0.03802104,(Liasis_fuscus:0.02550778,Liasis_mackloti:0.007911858):0.04045908):0.01101188,Apodora_papuana:0.07327953):0.01822209,(Antaresia_melanocephalus:0.03691812,Antaresia_ramsayi:0.02370955):0.0601409):0.007223612,(Liasis_albertisii:0.06 [...]
-tree 29 = (Candoia_aspera:0.4559287,((((Python_reticulatus:0.05517757,Python_timoriensis:0.06814217):0.08340554,((((((Morelia_tracyae:0.02748149,(Morelia_amethistina:0.03098765,((Morelia_nauta:0.006576406,Morelia_kinghorni:0.007688372):0.0007096533,Morelia_clastolepis:0.00977261):0.0210015):0.006038462):0.02583509,Morelia_oenpelliensis:0.0749369):0.0101301,(Morelia_spilota:0.02004658,Morelia_bredli:0.03451659):0.04024715):0.02746889,(Bothrochilus_boa:0.08344832,Liasis_albertisii:0.045593 [...]
-tree 30 = (((((((Morelia_bredli:0.02865577,Morelia_spilota:0.03152456):0.02984838,(Morelia_oenpelliensis:0.05957398,((((Morelia_clastolepis:0.009648714,Morelia_kinghorni:0.008176357):0.008419985,Morelia_nauta:0.002053939):0.008951861,Morelia_tracyae:0.03430245):0.007474801,Morelia_amethistina:0.02655718):0.02660193):0.005862491):0.02390784,((((Antaresia_melanocephalus:0.04143373,Antaresia_ramsayi:0.02445915):0.05473143,((Liasis_mackloti:0.01147677,Liasis_fuscus:0.02043269):0.06112321,(Li [...]
-tree 31 = (Candoia_aspera:0.3564553,(((((Python_sebae:0.07223247,Python_molurus:0.03344707):0.02744703,Python_curtus:0.100609):0.02068396,Python_regius:0.1083106):0.04848281,((Python_timoriensis:0.07007541,Python_reticulatus:0.06893867):0.08352695,((((Morelia_viridisS:0.05242792,Morelia_viridisN:0.03244932):0.03188631,Morelia_carinata:0.0666426):0.01467226,(Antaresia_maculosa:0.04897325,((Antaresia_stimsoni:0.01523345,Antaresia_childreni:0.02280061):0.03972103,Antaresia_perthensis:0.0715 [...]
-tree 32 = (((((((Morelia_boeleni:0.09460149,((Morelia_oenpelliensis:0.06591956,(((Morelia_clastolepis:0.008404051,(Morelia_kinghorni:0.006978938,Morelia_nauta:0.007460564):0.000440772):0.01431461,Morelia_amethistina:0.0208417):0.006610699,Morelia_tracyae:0.02966128):0.05849246):0.008923475,(Morelia_spilota:0.0247648,Morelia_bredli:0.03024164):0.02807078):0.03123918):0.003089671,(Bothrochilus_boa:0.04782091,Liasis_albertisii:0.05497745):0.0331477):0.008159145,(((Liasis_mackloti:0.01341363 [...]
-tree 33 = ((Loxocemus_bicolor:0.2669451,(((Python_reticulatus:0.05321987,Python_timoriensis:0.06997756):0.05861088,((((((Antaresia_childreni:0.01655703,Antaresia_stimsoni:0.01637029):0.03569376,Antaresia_perthensis:0.06286153):0.007241909,Antaresia_maculosa:0.06266587):0.008208767,((Morelia_viridisN:0.03704275,Morelia_viridisS:0.04520784):0.03192493,Morelia_carinata:0.051277):0.0100963):0.01478441,(((Antaresia_melanocephalus:0.04876354,Antaresia_ramsayi:0.02593541):0.04278765,(Apodora_pa [...]
-tree 34 = (Candoia_aspera:0.4569261,(((Python_regius:0.1411037,((Python_sebae:0.06459784,Python_molurus:0.03858578):0.01245523,Python_curtus:0.1156069):0.03368835):0.04372914,((Python_reticulatus:0.04306023,Python_timoriensis:0.06315612):0.07695555,(((((Antaresia_ramsayi:0.04512156,Antaresia_melanocephalus:0.03252252):0.04167882,(Apodora_papuana:0.06102348,(Liasis_olivaceus:0.03044151,(Liasis_fuscus:0.02654637,Liasis_mackloti:0.00437689):0.04196502):0.01919925):0.01657837):0.01029805,((A [...]
-tree 35 = ((((((Python_sebae:0.07121849,Python_molurus:0.02621536):0.01770809,Python_curtus:0.1089461):0.03107291,Python_regius:0.1164904):0.05656528,((Python_reticulatus:0.05387978,Python_timoriensis:0.0633591):0.05634522,(((Morelia_boeleni:0.08749596,((Morelia_spilota:0.02898978,Morelia_bredli:0.02387138):0.0409496,(Morelia_oenpelliensis:0.06187724,((Morelia_nauta:0.006906582,(Morelia_kinghorni:0.01526566,Morelia_clastolepis:0.01043315):0.002784817):0.009692299,(Morelia_amethistina:0.0 [...]
-tree 36 = ((Loxocemus_bicolor:0.3172354,(((Python_curtus:0.08136119,(Python_sebae:0.0735508,Python_molurus:0.03640422):0.01557105):0.0277907,Python_regius:0.09717536):0.04494788,((((Antaresia_maculosa:0.06047012,((Antaresia_stimsoni:0.01936481,Antaresia_childreni:0.0204231):0.02860615,Antaresia_perthensis:0.067609):0.005236841):0.01713776,((Morelia_viridisS:0.04331104,Morelia_viridisN:0.02973395):0.02836114,Morelia_carinata:0.05650005):0.01346905):0.01404818,(((Bothrochilus_boa:0.0460792 [...]
-tree 37 = ((Loxocemus_bicolor:0.2740998,Candoia_aspera:0.4155202):0.02116592,(((((Morelia_boeleni:0.06929356,((Morelia_oenpelliensis:0.07583182,(Morelia_amethistina:0.01459558,((Morelia_nauta:0.007322429,(Morelia_clastolepis:0.01181237,Morelia_kinghorni:0.005259852):0.003398728):0.03372015,Morelia_tracyae:0.03434483):0.02091431):0.03202138):0.005658255,(Morelia_bredli:0.02809767,Morelia_spilota:0.03355095):0.02263292):0.02159314):0.00291552,(((Antaresia_melanocephalus:0.05160809,Antaresi [...]
-tree 38 = (Candoia_aspera:0.4059339,(Loxocemus_bicolor:0.3025017,(((((Morelia_boeleni:0.07452276,((Morelia_bredli:0.02106962,Morelia_spilota:0.0320159):0.03108456,(((Morelia_amethistina:0.02608054,((Morelia_nauta:0.009185291,Morelia_kinghorni:0.006006182):0.004924326,Morelia_clastolepis:0.00406642):0.01622507):0.01576933,Morelia_tracyae:0.05538706):0.02692716,Morelia_oenpelliensis:0.05802539):0.005663774):0.02119685):0.005774344,(((Antaresia_melanocephalus:0.04396474,Antaresia_ramsayi:0. [...]
-tree 39 = (Candoia_aspera:0.3487431,(Loxocemus_bicolor:0.2715437,((Python_regius:0.108148,((Python_molurus:0.04219487,Python_sebae:0.06968664):0.02150992,Python_curtus:0.1232163):0.0239361):0.0522518,(((((Bothrochilus_boa:0.06552829,Liasis_albertisii:0.03917488):0.02331611,((((Liasis_fuscus:0.02518991,Liasis_mackloti:0.00890263):0.04813051,Liasis_olivaceus:0.0405597):0.01507422,Apodora_papuana:0.07516039):0.01507437,(Antaresia_ramsayi:0.04147509,Antaresia_melanocephalus:0.045958):0.06484 [...]
-tree 40 = (Candoia_aspera:0.5223368,(((Python_regius:0.1034435,((Python_molurus:0.04249723,Python_sebae:0.07799269):0.01292014,Python_curtus:0.09253175):0.02023361):0.03960567,(((((Morelia_spilota:0.02882786,Morelia_bredli:0.02270972):0.02443599,(((Morelia_amethistina:0.02571044,((Morelia_kinghorni:0.01171321,Morelia_nauta:0.00610836):0.00422032,Morelia_clastolepis:0.004021223):0.01317024):0.00131684,Morelia_tracyae:0.03160369):0.03319636,Morelia_oenpelliensis:0.06634761):0.005747809):0. [...]
-tree 41 = (Candoia_aspera:0.4850667,(Loxocemus_bicolor:0.2902032,((Python_regius:0.1196588,(Python_curtus:0.08757062,(Python_sebae:0.07518693,Python_molurus:0.03538358):0.0142014):0.01088135):0.030351,(((((Morelia_viridisS:0.05240148,Morelia_viridisN:0.04396064):0.01791946,Morelia_carinata:0.06703203):0.01547424,(Antaresia_maculosa:0.08728829,(Antaresia_perthensis:0.06958781,(Antaresia_stimsoni:0.01361088,Antaresia_childreni:0.02863435):0.04253736):0.02274367):0.01055237):0.02506572,(((M [...]
-tree 42 = (Candoia_aspera:0.4227249,(Loxocemus_bicolor:0.2630346,((Python_regius:0.1292282,((Python_sebae:0.07375409,Python_molurus:0.05145713):0.009915304,Python_curtus:0.104214):0.02208551):0.03973028,((Python_timoriensis:0.0722339,Python_reticulatus:0.07091186):0.05739378,((((Morelia_boeleni:0.09101835,((Morelia_bredli:0.0278041,Morelia_spilota:0.03169677):0.02124261,(Morelia_oenpelliensis:0.05296945,((Morelia_tracyae:0.05372661,((Morelia_clastolepis:0.008265544,Morelia_kinghorni:0.00 [...]
-tree 43 = (Candoia_aspera:0.5153805,((((Python_curtus:0.07863771,(Python_sebae:0.08222992,Python_molurus:0.04254121):0.01317515):0.02583793,Python_regius:0.137146):0.05263082,(((Morelia_boeleni:0.1016967,(((Bothrochilus_boa:0.04778673,Liasis_albertisii:0.05529477):0.04329956,(Antaresia_ramsayi:0.02994375,Antaresia_melanocephalus:0.0416666):0.05128635):0.001794929,(Apodora_papuana:0.06170972,(Liasis_olivaceus:0.03671799,(Liasis_mackloti:0.006090192,Liasis_fuscus:0.02565038):0.03958824):0. [...]
-tree 44 = ((Loxocemus_bicolor:0.2648974,((((((Morelia_spilota:0.01775619,Morelia_bredli:0.02572672):0.03433169,((Morelia_tracyae:0.03554912,(((Morelia_kinghorni:0.004910661,Morelia_nauta:0.01120176):0.01147165,Morelia_clastolepis:0.003855517):0.01543003,Morelia_amethistina:0.02183181):0.012722):0.02702229,Morelia_oenpelliensis:0.05908537):0.007540966):0.02306979,(((((Antaresia_childreni:0.02080121,Antaresia_stimsoni:0.01730966):0.02730232,Antaresia_perthensis:0.0794485):0.01868214,Antare [...]
-tree 45 = (((((Python_reticulatus:0.06082482,Python_timoriensis:0.05976824):0.07470233,(((((Antaresia_childreni:0.01703978,Antaresia_stimsoni:0.01702941):0.03308871,Antaresia_perthensis:0.08043923):0.01555501,Antaresia_maculosa:0.0884772):0.005314314,(Morelia_carinata:0.0651085,(Morelia_viridisN:0.04315993,Morelia_viridisS:0.05203646):0.02278244):0.01707531):0.02346517,(((Antaresia_melanocephalus:0.04749625,Antaresia_ramsayi:0.03669699):0.03379984,((Liasis_olivaceus:0.04033815,Apodora_pa [...]
-tree 46 = (Candoia_aspera:0.5322171,((((Python_reticulatus:0.0535918,Python_timoriensis:0.06535871):0.06768871,(((((Antaresia_melanocephalus:0.03916935,Antaresia_ramsayi:0.0373195):0.04072262,(((Liasis_fuscus:0.01736701,Liasis_mackloti:0.01169367):0.0425045,Liasis_olivaceus:0.03651515):0.008463145,Apodora_papuana:0.06127901):0.01813412):0.006101433,(Liasis_albertisii:0.05168434,Bothrochilus_boa:0.05431427):0.03115496):0.005398566,(Morelia_boeleni:0.06280028,(((Morelia_tracyae:0.02379919, [...]
-tree 47 = ((((((Morelia_boeleni:0.08532348,((Morelia_spilota:0.02557332,Morelia_bredli:0.02833054):0.03910548,(((Morelia_amethistina:0.0250698,((Morelia_nauta:0.008027407,Morelia_kinghorni:0.01428535):0.01094484,Morelia_clastolepis:0.00227683):0.01955651):0.005372779,Morelia_tracyae:0.03145023):0.03441583,Morelia_oenpelliensis:0.05781036):0.005803634):0.02195589):0.002986267,((Bothrochilus_boa:0.06447638,Liasis_albertisii:0.04012674):0.03942857,((Antaresia_ramsayi:0.04033451,Antaresia_me [...]
-tree 48 = (Candoia_aspera:0.4436023,(Loxocemus_bicolor:0.2369616,(((Python_curtus:0.09049056,(Python_molurus:0.029384,Python_sebae:0.0627384):0.01268501):0.01953619,Python_regius:0.1171373):0.04828605,((Python_timoriensis:0.06139592,Python_reticulatus:0.0646338):0.07305738,(((((Antaresia_stimsoni:0.02057256,Antaresia_childreni:0.02154838):0.03608791,Antaresia_perthensis:0.07564235):0.01173533,Antaresia_maculosa:0.07024714):0.01354829,(Morelia_carinata:0.0709676,(Morelia_viridisS:0.046626 [...]
-tree 49 = ((Loxocemus_bicolor:0.3405555,(((((((Morelia_spilota:0.02807685,Morelia_bredli:0.02566795):0.03087109,(Morelia_oenpelliensis:0.06798181,(Morelia_tracyae:0.02098472,(Morelia_amethistina:0.02311013,((Morelia_nauta:0.004146555,Morelia_kinghorni:0.009369746):0.00429045,Morelia_clastolepis:0.008566892):0.01380615):0.006610653):0.03471999):0.003897041):0.01810336,((Morelia_carinata:0.06383306,(Morelia_viridisN:0.03476118,Morelia_viridisS:0.05680829):0.02523946):0.009249984,(Antaresia [...]
-tree 50 = (Candoia_aspera:0.365292,(Loxocemus_bicolor:0.310124,((((Python_sebae:0.08393153,Python_molurus:0.04102906):0.02198402,Python_curtus:0.08610296):0.01361938,Python_regius:0.1521334):0.04792291,((Python_timoriensis:0.08534907,Python_reticulatus:0.06216048):0.07485164,(((((((Morelia_amethistina:0.03515294,(Morelia_clastolepis:0.004999444,(Morelia_nauta:0.009645939,Morelia_kinghorni:0.008671095):0.0001768814):0.02966952):0.01516104,Morelia_tracyae:0.04027297):0.01631001,Morelia_oen [...]
-tree 51 = (Candoia_aspera:0.5449368,((((Python_reticulatus:0.09099772,Python_timoriensis:0.07144241):0.05727305,(((Morelia_carinata:0.0577648,(Morelia_viridisN:0.03065865,Morelia_viridisS:0.04847735):0.02928353):0.008153621,(Antaresia_maculosa:0.05881195,(Antaresia_perthensis:0.06472734,(Antaresia_childreni:0.02932234,Antaresia_stimsoni:0.02067186):0.04013394):0.01273477):0.01701452):0.01169918,(((Antaresia_ramsayi:0.03842948,Antaresia_melanocephalus:0.03766409):0.0452689,((Liasis_olivac [...]
-tree 52 = (Candoia_aspera:0.4119319,(((Python_regius:0.1152994,((Python_sebae:0.07552402,Python_molurus:0.03490164):0.01108603,Python_curtus:0.1145467):0.01901207):0.0443746,((((Morelia_carinata:0.06566802,(Morelia_viridisN:0.03596026,Morelia_viridisS:0.0471616):0.01708947):0.01026524,(Antaresia_maculosa:0.06025642,(Antaresia_perthensis:0.05098101,(Antaresia_childreni:0.01934081,Antaresia_stimsoni:0.0135667):0.03058171):0.009517906):0.01267591):0.008263889,((((Morelia_spilota:0.02344491, [...]
-tree 53 = ((((Python_regius:0.1254009,(Python_curtus:0.08753147,(Python_molurus:0.04027961,Python_sebae:0.08576586):0.02140595):0.02317131):0.0390212,((((Morelia_boeleni:0.07962354,((Morelia_spilota:0.03086129,Morelia_bredli:0.03248024):0.03102577,((Morelia_tracyae:0.04475659,(Morelia_amethistina:0.03098438,((Morelia_kinghorni:0.008669885,Morelia_nauta:0.005987475):0.002591122,Morelia_clastolepis:0.002634122):0.01566736):0.01338949):0.02701571,Morelia_oenpelliensis:0.07358275):0.00887946 [...]
-tree 54 = (Candoia_aspera:0.4297135,((((((Antaresia_maculosa:0.07003845,(Antaresia_perthensis:0.06743232,(Antaresia_childreni:0.02884627,Antaresia_stimsoni:0.02139588):0.03896306):0.01121203):0.008262347,((Morelia_viridisS:0.046964,Morelia_viridisN:0.03312958):0.03465966,Morelia_carinata:0.06247932):0.01828836):0.01619593,((((Apodora_papuana:0.04879782,((Liasis_mackloti:0.01053472,Liasis_fuscus:0.02365744):0.04023937,Liasis_olivaceus:0.03599876):0.01405198):0.01631438,(Antaresia_melanoce [...]
-tree 55 = (Candoia_aspera:0.4032337,(((((Python_molurus:0.03143687,Python_sebae:0.09823878):0.02140932,Python_curtus:0.09608987):0.01506344,Python_regius:0.1271778):0.05095627,((((((Morelia_oenpelliensis:0.0740013,((Morelia_amethistina:0.02689424,(Morelia_nauta:0.005721368,(Morelia_clastolepis:0.00501394,Morelia_kinghorni:0.007579701):0.008862685):0.01332026):0.002459013,Morelia_tracyae:0.03682387):0.0356683):0.005829372,(Morelia_spilota:0.02072617,Morelia_bredli:0.0303542):0.02974856):0 [...]
-tree 56 = ((((Python_curtus:0.09610909,(Python_sebae:0.0763935,Python_molurus:0.04010346):0.01665276):0.01579041,Python_regius:0.1201013):0.02228269,((((((Antaresia_stimsoni:0.009933382,Antaresia_childreni:0.02504422):0.03898344,Antaresia_perthensis:0.07441505):0.01655102,Antaresia_maculosa:0.06341264):0.00423628,(Morelia_carinata:0.06782785,(Morelia_viridisS:0.0406782,Morelia_viridisN:0.03474428):0.02682416):0.01516531):0.02205259,((Morelia_boeleni:0.07700987,((((Morelia_amethistina:0.0 [...]
-tree 57 = (Candoia_aspera:0.4153505,(Loxocemus_bicolor:0.2791384,((Python_regius:0.1064145,(Python_curtus:0.1071383,(Python_sebae:0.07241633,Python_molurus:0.04887044):0.01224031):0.020618):0.04332308,((Python_reticulatus:0.06484751,Python_timoriensis:0.05405059):0.04751213,((((Bothrochilus_boa:0.05362835,Liasis_albertisii:0.04960141):0.0356816,((Antaresia_ramsayi:0.03268517,Antaresia_melanocephalus:0.03758129):0.03736965,((Liasis_olivaceus:0.04277857,Apodora_papuana:0.06016667):0.009949 [...]
-tree 58 = (Candoia_aspera:0.4873354,(Loxocemus_bicolor:0.2332783,(((((((((Liasis_mackloti:0.007309739,Liasis_fuscus:0.0279446):0.05690776,Liasis_olivaceus:0.03166848):0.01372647,Apodora_papuana:0.0585181):0.01686857,(Antaresia_melanocephalus:0.04486908,Antaresia_ramsayi:0.03001735):0.04537131):0.007726529,(Bothrochilus_boa:0.08559648,Liasis_albertisii:0.06387931):0.0357606):0.007852339,Morelia_boeleni:0.08361377):0.0009829988,(((Antaresia_maculosa:0.07797792,(Antaresia_perthensis:0.06673 [...]
-tree 59 = ((Candoia_aspera:0.4578877,(((Python_reticulatus:0.06169376,Python_timoriensis:0.08422366):0.05572204,(((Morelia_boeleni:0.0931297,((((Antaresia_childreni:0.02158899,Antaresia_stimsoni:0.01438034):0.03998282,Antaresia_perthensis:0.06970084):0.01535176,Antaresia_maculosa:0.07081544):0.01052213,(Morelia_carinata:0.0774876,(Morelia_viridisN:0.03236672,Morelia_viridisS:0.07599355):0.01839833):0.01302615):0.01439441):0.0008917252,((Liasis_albertisii:0.039823,Bothrochilus_boa:0.05183 [...]
-tree 60 = ((Loxocemus_bicolor:0.2564752,Candoia_aspera:0.430636):0.02776712,(((Python_reticulatus:0.05389938,Python_timoriensis:0.07081924):0.05042149,((Bothrochilus_boa:0.0657108,Liasis_albertisii:0.04306774):0.03297476,((((Morelia_spilota:0.02325149,Morelia_bredli:0.02818583):0.02944659,(Morelia_oenpelliensis:0.05882524,(Morelia_amethistina:0.02618559,(((Morelia_clastolepis:0.00525444,Morelia_kinghorni:0.004066344):0.003764506,Morelia_nauta:0.005986931):0.00816707,Morelia_tracyae:0.070 [...]
-tree 61 = ((Loxocemus_bicolor:0.2390967,Candoia_aspera:0.4592643):0.04768498,((((((((Apodora_papuana:0.06974535,Liasis_olivaceus:0.03615791):0.01678672,(Liasis_fuscus:0.01981257,Liasis_mackloti:0.007387913):0.03607835):0.02837702,(Antaresia_melanocephalus:0.0413593,Antaresia_ramsayi:0.02633209):0.05602189):0.01375102,((Antaresia_maculosa:0.06634786,((Antaresia_childreni:0.02528178,Antaresia_stimsoni:0.01857345):0.03243086,Antaresia_perthensis:0.06599134):0.007734964):0.00491988,(Morelia_ [...]
-tree 62 = ((Loxocemus_bicolor:0.3119484,((Python_regius:0.09866725,(Python_curtus:0.1245086,(Python_sebae:0.07169133,Python_molurus:0.03607564):0.01980528):0.02430393):0.02232077,((Python_reticulatus:0.0580492,Python_timoriensis:0.07219332):0.05736778,((((Bothrochilus_boa:0.06789342,Liasis_albertisii:0.0626714):0.0318012,((Antaresia_ramsayi:0.0316683,Antaresia_melanocephalus:0.04699017):0.05802338,(Apodora_papuana:0.06741561,(Liasis_olivaceus:0.03440653,(Liasis_fuscus:0.0262918,Liasis_ma [...]
-tree 63 = ((((Python_regius:0.1045362,(Python_curtus:0.0815732,(Python_sebae:0.0731453,Python_molurus:0.04121527):0.01532189):0.01994899):0.03798915,((Python_timoriensis:0.06294615,Python_reticulatus:0.05094862):0.0574045,((Morelia_boeleni:0.08758336,(((((Liasis_mackloti:0.004929908,Liasis_fuscus:0.02028416):0.0462742,Liasis_olivaceus:0.03706543):0.01458087,Apodora_papuana:0.05878766):0.01585728,(Antaresia_ramsayi:0.01785121,Antaresia_melanocephalus:0.05271079):0.04691403):0.005697472,(B [...]
-tree 64 = (Candoia_aspera:0.5268895,((((Python_reticulatus:0.05913797,Python_timoriensis:0.06249719):0.05855848,(((((Antaresia_perthensis:0.06857628,(Antaresia_childreni:0.02184403,Antaresia_stimsoni:0.01644374):0.02731027):0.01049891,Antaresia_maculosa:0.06825385):0.0212855,(Morelia_carinata:0.05797942,(Morelia_viridisN:0.04222686,Morelia_viridisS:0.03983184):0.02372562):0.007988327):0.01161671,(Morelia_boeleni:0.08816773,((Bothrochilus_boa:0.0735602,Liasis_albertisii:0.05135359):0.0357 [...]
-tree 65 = ((((((Python_molurus:0.05248859,Python_sebae:0.08445334):0.01912769,Python_curtus:0.1068431):0.01303875,Python_regius:0.1060619):0.04121669,((Python_reticulatus:0.06641269,Python_timoriensis:0.06510396):0.05472704,(((Apodora_papuana:0.06501856,((Liasis_fuscus:0.01938097,Liasis_mackloti:0.007993713):0.04233311,Liasis_olivaceus:0.04417499):0.007100968):0.01449947,(Antaresia_melanocephalus:0.03318174,Antaresia_ramsayi:0.02608021):0.04401241):0.02197335,(((((Morelia_spilota:0.02298 [...]
-tree 66 = ((((((Python_molurus:0.04811833,Python_sebae:0.07004114):0.02196186,Python_curtus:0.1096454):0.01956063,Python_regius:0.1123615):0.03691369,(((((Liasis_albertisii:0.05370764,Bothrochilus_boa:0.06265907):0.03561458,((Apodora_papuana:0.07272776,((Liasis_fuscus:0.01370828,Liasis_mackloti:0.02309465):0.05741218,Liasis_olivaceus:0.04167728):0.01163812):0.01665479,(Antaresia_melanocephalus:0.0253543,Antaresia_ramsayi:0.03190032):0.05173058):0.0008003378):0.005472764,Morelia_boeleni:0 [...]
-tree 67 = ((((((Python_sebae:0.06236479,Python_molurus:0.04213767):0.01777824,Python_curtus:0.1021113):0.01363883,Python_regius:0.1001127):0.01958544,((Python_timoriensis:0.04812869,Python_reticulatus:0.06212032):0.06951745,(((Morelia_boeleni:0.07786193,((Morelia_spilota:0.02928192,Morelia_bredli:0.01920753):0.02754254,((Morelia_amethistina:0.02519712,(Morelia_tracyae:0.03750275,((Morelia_kinghorni:0.0112295,Morelia_nauta:0.01662518):0.008346236,Morelia_clastolepis:0.005399784):0.0103013 [...]
-tree 68 = ((Loxocemus_bicolor:0.3421064,((Python_regius:0.1115622,(Python_curtus:0.09826584,(Python_sebae:0.07191922,Python_molurus:0.04064791):0.01578384):0.01438764):0.04523101,((Python_timoriensis:0.06358136,Python_reticulatus:0.05833856):0.06307472,((((Morelia_carinata:0.05734906,(Morelia_viridisS:0.04318783,Morelia_viridisN:0.04583721):0.01821118):0.01545327,((Antaresia_perthensis:0.06296287,(Antaresia_stimsoni:0.01706827,Antaresia_childreni:0.02104141):0.03055942):0.01182927,Antare [...]
-tree 69 = ((Candoia_aspera:0.4450836,Loxocemus_bicolor:0.3174019):0.02447175,((Python_regius:0.1424483,((Python_molurus:0.03302827,Python_sebae:0.07146083):0.01905547,Python_curtus:0.1159114):0.0381509):0.04241104,(((((((Antaresia_childreni:0.01890977,Antaresia_stimsoni:0.01517946):0.035416,Antaresia_perthensis:0.06857496):0.01161928,Antaresia_maculosa:0.07220173):0.007211953,(Morelia_carinata:0.0642391,(Morelia_viridisN:0.03726853,Morelia_viridisS:0.05549287):0.01029716):0.0189687):0.02 [...]
-tree 70 = ((Loxocemus_bicolor:0.2857882,(((Python_curtus:0.09804145,(Python_molurus:0.04031657,Python_sebae:0.07843305):0.02059991):0.02529989,Python_regius:0.117949):0.04936197,((((((Morelia_oenpelliensis:0.06557468,(Morelia_tracyae:0.04528187,((Morelia_clastolepis:0.004341288,(Morelia_kinghorni:0.01006468,Morelia_nauta:0.004045206):0.004556852):0.01467889,Morelia_amethistina:0.02757685):0.005371513):0.05121582):0.003292884,(Morelia_spilota:0.01948951,Morelia_bredli:0.03155399):0.032303 [...]
-tree 71 = (Candoia_aspera:0.4717339,(((((((Bothrochilus_boa:0.05883323,Liasis_albertisii:0.05456283):0.02271329,((Apodora_papuana:0.05998257,(Liasis_olivaceus:0.02913736,(Liasis_fuscus:0.01732647,Liasis_mackloti:0.01674711):0.04874046):0.008143937):0.01887131,(Antaresia_ramsayi:0.04183237,Antaresia_melanocephalus:0.04076158):0.04427686):0.009855444):0.01066004,(((Morelia_oenpelliensis:0.04305822,((Morelia_clastolepis:0.002836661,(Morelia_nauta:0.01515712,Morelia_kinghorni:0.004505663):0. [...]
-tree 72 = (Candoia_aspera:0.4905738,(Loxocemus_bicolor:0.2519591,(((Python_timoriensis:0.07404226,Python_reticulatus:0.05474481):0.06644049,(((Morelia_boeleni:0.09095004,((Morelia_bredli:0.02959755,Morelia_spilota:0.0353426):0.02959985,(((Morelia_amethistina:0.02093452,(Morelia_nauta:0.004317592,(Morelia_kinghorni:0.009871938,Morelia_clastolepis:0.0136011):0.006546919):0.03087369):0.01212434,Morelia_tracyae:0.03055861):0.05770397,Morelia_oenpelliensis:0.07079792):0.003571392):0.03535009) [...]
-tree 73 = (Candoia_aspera:0.4598036,(((((((Morelia_spilota:0.01982865,Morelia_bredli:0.02966733):0.03884227,((Morelia_tracyae:0.03055964,(((Morelia_kinghorni:0.004122602,Morelia_clastolepis:0.006418796):0.006158391,Morelia_nauta:0.00751089):0.02200455,Morelia_amethistina:0.02131889):0.01090798):0.01356813,Morelia_oenpelliensis:0.05887202):0.01445794):0.02558764,((((Antaresia_ramsayi:0.02479341,Antaresia_melanocephalus:0.04232038):0.04453974,(Apodora_papuana:0.05413614,((Liasis_fuscus:0.0 [...]
-tree 74 = (((Python_regius:0.122777,((Python_molurus:0.03861148,Python_sebae:0.08854008):0.01836058,Python_curtus:0.1087409):0.02868272):0.03219403,((((((Morelia_oenpelliensis:0.0601058,((Morelia_amethistina:0.0244574,Morelia_tracyae:0.0397486):0.0001275072,(Morelia_nauta:0.004788438,(Morelia_clastolepis:0.005838887,Morelia_kinghorni:0.01017217):0.001899022):0.01904309):0.04300782):0.00633599,(Morelia_spilota:0.02559737,Morelia_bredli:0.02940281):0.02435702):0.0246874,((Antaresia_maculos [...]
-tree 75 = (((Python_regius:0.1185489,(Python_curtus:0.08720485,(Python_molurus:0.0435094,Python_sebae:0.08370481):0.01269984):0.0270439):0.05088809,((((Liasis_albertisii:0.05173274,Bothrochilus_boa:0.05183286):0.05072088,(((Antaresia_melanocephalus:0.03656163,Antaresia_ramsayi:0.03155388):0.03835047,(((Liasis_fuscus:0.01454665,Liasis_mackloti:0.01162582):0.0407249,Liasis_olivaceus:0.03344422):0.01447517,Apodora_papuana:0.06149126):0.01772949):0.01052499,((((Antaresia_childreni:0.01902816 [...]
-tree 76 = ((Loxocemus_bicolor:0.289421,(((Python_curtus:0.1034425,(Python_molurus:0.03838318,Python_sebae:0.0657545):0.005487207):0.01794188,Python_regius:0.1158322):0.02708483,((((((Apodora_papuana:0.05140632,(Liasis_olivaceus:0.03483575,(Liasis_fuscus:0.0167882,Liasis_mackloti:0.01303193):0.0447589):0.007661923):0.0181732,(Antaresia_melanocephalus:0.03623783,Antaresia_ramsayi:0.02679624):0.04371616):0.001420114,(Liasis_albertisii:0.05907394,Bothrochilus_boa:0.06117998):0.04004438):0.00 [...]
-tree 77 = ((Loxocemus_bicolor:0.3190314,(((((Morelia_boeleni:0.07978362,((Morelia_spilota:0.02172516,Morelia_bredli:0.026232):0.03155658,((Morelia_amethistina:0.02728021,(Morelia_tracyae:0.05859969,((Morelia_clastolepis:0.004245739,Morelia_kinghorni:0.007346214):0.006021728,Morelia_nauta:0.01110223):0.0109052):0.00218281):0.02807543,Morelia_oenpelliensis:0.05684937):0.006062989):0.01907406):0.00915462,(Liasis_albertisii:0.03894934,Bothrochilus_boa:0.0623029):0.0322232):0.002144932,(((Mor [...]
-tree 78 = ((Loxocemus_bicolor:0.2229325,Candoia_aspera:0.4421281):0.03062222,(((((((Morelia_bredli:0.03399205,Morelia_spilota:0.02517605):0.02337728,(((Morelia_amethistina:0.01529103,(Morelia_clastolepis:0.006187776,(Morelia_kinghorni:0.01337353,Morelia_nauta:0.005734063):0.005374756):0.02460788):0.001540486,Morelia_tracyae:0.03329582):0.0333974,Morelia_oenpelliensis:0.07525567):0.00578434):0.02385279,Morelia_boeleni:0.08113851):0.006018764,(((Antaresia_melanocephalus:0.04012,Antaresia_r [...]
-tree 79 = ((Loxocemus_bicolor:0.2068851,Candoia_aspera:0.4157484):0.06394592,((Python_regius:0.1119306,((Python_molurus:0.02507726,Python_sebae:0.06768835):0.01273502,Python_curtus:0.09793023):0.02951751):0.03910106,(((((Morelia_spilota:0.02664926,Morelia_bredli:0.03702698):0.02468232,(Morelia_oenpelliensis:0.05764724,((Morelia_amethistina:0.02414779,(Morelia_clastolepis:0.005833709,(Morelia_nauta:0.007372257,Morelia_kinghorni:0.0086475):0.00620881):0.01279634):0.008251266,Morelia_tracya [...]
-tree 80 = (Candoia_aspera:0.391632,(Loxocemus_bicolor:0.2646089,(((Python_reticulatus:0.05737131,Python_timoriensis:0.06872314):0.05957824,(((((Antaresia_childreni:0.02040491,Antaresia_stimsoni:0.01350101):0.03175717,Antaresia_perthensis:0.06307919):0.01255095,Antaresia_maculosa:0.07096548):0.01294142,(Morelia_carinata:0.0554948,(Morelia_viridisN:0.03206945,Morelia_viridisS:0.04474466):0.02886815):0.008750372):0.01658624,(((Bothrochilus_boa:0.05867584,Liasis_albertisii:0.04518102):0.0527 [...]
-tree 81 = (Candoia_aspera:0.3679055,((((Python_curtus:0.09829191,(Python_molurus:0.03905549,Python_sebae:0.08446096):0.01455288):0.02320233,Python_regius:0.1102946):0.05339913,(((((Antaresia_perthensis:0.06928507,(Antaresia_childreni:0.03003637,Antaresia_stimsoni:0.01953789):0.03258011):0.0164155,Antaresia_maculosa:0.06494583):0.007981955,(Morelia_carinata:0.06003471,(Morelia_viridisN:0.02537246,Morelia_viridisS:0.04879795):0.01950855):0.01576949):0.0175171,((((Morelia_spilota:0.02909157 [...]
-tree 82 = ((Loxocemus_bicolor:0.2390659,Candoia_aspera:0.3844317):0.05418046,((((Python_molurus:0.04026471,Python_sebae:0.0644374):0.01042403,Python_curtus:0.1225831):0.02166972,Python_regius:0.09710642):0.03811794,(((((Antaresia_perthensis:0.06993962,(Antaresia_childreni:0.01769138,Antaresia_stimsoni:0.01418347):0.03850968):0.01233473,Antaresia_maculosa:0.06562401):0.002737597,(Morelia_carinata:0.05781147,(Morelia_viridisN:0.04477895,Morelia_viridisS:0.06053305):0.01641598):0.01962619): [...]
-tree 83 = ((Loxocemus_bicolor:0.2036892,Candoia_aspera:0.4028089):0.04007441,(((((Morelia_boeleni:0.06613699,((((((Morelia_kinghorni:0.008681592,Morelia_clastolepis:0.0096482):0.006886978,Morelia_nauta:0.004116863):0.007086856,Morelia_amethistina:0.03765005):0.007846691,Morelia_tracyae:0.05190823):0.02842286,Morelia_oenpelliensis:0.05083896):0.006002964,(Morelia_spilota:0.03349041,Morelia_bredli:0.03408026):0.02509088):0.01676837):0.01044434,(Bothrochilus_boa:0.05595351,Liasis_albertisii [...]
-tree 84 = ((((Python_curtus:0.1223827,(Python_sebae:0.06621626,Python_molurus:0.03832782):0.01086444):0.02337286,Python_regius:0.124018):0.02184441,((Python_timoriensis:0.08372909,Python_reticulatus:0.04903101):0.06903388,(Morelia_boeleni:0.0884944,((((Morelia_bredli:0.0312634,Morelia_spilota:0.02388251):0.02731682,((Morelia_amethistina:0.02294787,(((Morelia_nauta:0.007833751,Morelia_kinghorni:0.008007233):0.005648212,Morelia_clastolepis:0.009921374):0.01119791,Morelia_tracyae:0.04130311 [...]
-tree 85 = ((Loxocemus_bicolor:0.324078,(((Python_curtus:0.09449341,(Python_molurus:0.03660124,Python_sebae:0.08110901):0.02108984):0.01929663,Python_regius:0.1138374):0.07513523,((Python_timoriensis:0.05849644,Python_reticulatus:0.07499078):0.05284259,((((Antaresia_ramsayi:0.02524694,Antaresia_melanocephalus:0.04279777):0.05075451,(Apodora_papuana:0.05920609,(Liasis_olivaceus:0.03153405,(Liasis_mackloti:0.01327589,Liasis_fuscus:0.01920955):0.04526949):0.01172603):0.01473238):0.006227815, [...]
-tree 86 = (Candoia_aspera:0.4640829,(((((Python_molurus:0.03415465,Python_sebae:0.07069288):0.01969121,Python_curtus:0.08093054):0.006925213,Python_regius:0.1301421):0.02361257,(((((Morelia_boeleni:0.08796563,((Morelia_oenpelliensis:0.06088415,((((Morelia_kinghorni:0.007620532,Morelia_nauta:0.009314096):0.008601672,Morelia_clastolepis:0.002071879):0.01426838,Morelia_amethistina:0.03194737):0.00157039,Morelia_tracyae:0.04071359):0.03416296):0.003333199,(Morelia_spilota:0.03133059,Morelia_ [...]
-tree 87 = (((((Python_sebae:0.05806749,Python_molurus:0.04863067):0.01977878,Python_curtus:0.08771888):0.02114992,Python_regius:0.1133869):0.03790215,((((Morelia_boeleni:0.0781837,(((Apodora_papuana:0.05732655,(Liasis_olivaceus:0.04020414,(Liasis_mackloti:0.009338819,Liasis_fuscus:0.02041633):0.04082824):0.008338371):0.01673676,(Antaresia_melanocephalus:0.03542311,Antaresia_ramsayi:0.03377948):0.04833716):0.01207703,(Bothrochilus_boa:0.05472008,Liasis_albertisii:0.04752972):0.02980977):0 [...]
-tree 88 = (Candoia_aspera:0.5266748,(Loxocemus_bicolor:0.2863724,(((Python_curtus:0.1113482,(Python_molurus:0.0369985,Python_sebae:0.07977591):0.0133193):0.02088768,Python_regius:0.109057):0.03589019,((Python_timoriensis:0.06994488,Python_reticulatus:0.06733911):0.05117117,(((((Antaresia_perthensis:0.07476111,(Antaresia_stimsoni:0.0102694,Antaresia_childreni:0.02539743):0.04680466):0.007219799,Antaresia_maculosa:0.07683412):0.005258364,((Morelia_viridisS:0.03428402,Morelia_viridisN:0.046 [...]
-tree 89 = ((((Python_timoriensis:0.06707148,Python_reticulatus:0.06506125):0.04355094,(((Morelia_boeleni:0.08020637,((((Morelia_amethistina:0.02208421,((Morelia_clastolepis:0.006524679,Morelia_kinghorni:0.009968198):0.005432657,Morelia_nauta:0.004671117):0.0219751):0.005202818,Morelia_tracyae:0.04945317):0.0290873,Morelia_oenpelliensis:0.06477172):0.00946036,(Morelia_bredli:0.02027949,Morelia_spilota:0.02893624):0.02610896):0.01580249):0.01046464,((Bothrochilus_boa:0.06404848,Liasis_albe [...]
-tree 90 = ((Loxocemus_bicolor:0.2342189,((Python_regius:0.125989,((Python_molurus:0.03747382,Python_sebae:0.08511339):0.01629249,Python_curtus:0.08855054):0.01128598):0.03744629,((Python_timoriensis:0.06794617,Python_reticulatus:0.06178539):0.04416913,((((Bothrochilus_boa:0.05820688,Liasis_albertisii:0.05675853):0.02458397,(((Liasis_olivaceus:0.03059831,(Liasis_mackloti:0.008783671,Liasis_fuscus:0.01852068):0.04863702):0.01346526,Apodora_papuana:0.06713094):0.01489775,(Antaresia_ramsayi: [...]
-tree 91 = ((((Python_regius:0.1516846,((Python_sebae:0.07523123,Python_molurus:0.04721355):0.02365172,Python_curtus:0.09479072):0.03676268):0.04198977,((Python_reticulatus:0.07135687,Python_timoriensis:0.05190384):0.06425761,(((((Morelia_spilota:0.02512919,Morelia_bredli:0.02644278):0.03247482,(Morelia_oenpelliensis:0.0642112,((Morelia_tracyae:0.03612823,Morelia_amethistina:0.03026808):0.001308547,(Morelia_clastolepis:0.003069521,(Morelia_nauta:0.01104297,Morelia_kinghorni:0.008335905):0 [...]
-tree 92 = (Candoia_aspera:0.4547292,(Loxocemus_bicolor:0.3272833,(((((((((Morelia_amethistina:0.02060874,((Morelia_nauta:0.005561469,Morelia_kinghorni:0.008690786):0.005051559,Morelia_clastolepis:0.007840901):0.01022098):0.0133147,Morelia_tracyae:0.05010387):0.02268618,Morelia_oenpelliensis:0.06417942):0.005575328,(Morelia_spilota:0.02642943,Morelia_bredli:0.02261605):0.03579255):0.01411255,Morelia_boeleni:0.07721844):0.0007152459,((Liasis_albertisii:0.04806457,Bothrochilus_boa:0.0576084 [...]
-tree 93 = (Candoia_aspera:0.5254491,(((((Python_sebae:0.07638384,Python_molurus:0.03664319):0.01567718,Python_curtus:0.1210042):0.01515347,Python_regius:0.1274836):0.04894325,((((Antaresia_maculosa:0.05457504,(Antaresia_perthensis:0.0810693,(Antaresia_childreni:0.02907495,Antaresia_stimsoni:0.0118365):0.02838937):0.01649198):0.006525643,(Morelia_carinata:0.05356569,(Morelia_viridisS:0.04860563,Morelia_viridisN:0.0308708):0.02143981):0.01601209):0.01907801,((((((Liasis_mackloti:0.01208765 [...]
-tree 94 = (Candoia_aspera:0.4325058,(Loxocemus_bicolor:0.29547,((((Python_sebae:0.07775931,Python_molurus:0.03063228):0.01949916,Python_curtus:0.09782399):0.01065466,Python_regius:0.1565605):0.04138757,(((Morelia_boeleni:0.1021874,((Morelia_bredli:0.03767743,Morelia_spilota:0.03995434):0.02511893,(Morelia_oenpelliensis:0.06688421,((Morelia_tracyae:0.04224919,((Morelia_nauta:0.007632277,Morelia_kinghorni:0.007195393):0.0051102,Morelia_clastolepis:0.006891541):0.01861817):0.001031537,Morel [...]
-tree 95 = (Candoia_aspera:0.4667417,(Loxocemus_bicolor:0.2636684,((((Python_sebae:0.06724253,Python_molurus:0.04279827):0.0137619,Python_curtus:0.1224426):0.01620571,Python_regius:0.105882):0.05012959,((((((Morelia_bredli:0.02989658,Morelia_spilota:0.02336917):0.03265544,(((Morelia_amethistina:0.02684736,((Morelia_kinghorni:0.009531203,Morelia_nauta:0.005903659):0.003909769,Morelia_clastolepis:0.004228678):0.006278146):0.01098578,Morelia_tracyae:0.04320166):0.03115355,Morelia_oenpelliens [...]
-tree 96 = (((((((Liasis_albertisii:0.05597893,Bothrochilus_boa:0.06708494):0.02136291,(((Morelia_oenpelliensis:0.06692067,((((Morelia_nauta:0.006490195,Morelia_kinghorni:0.008862895):0.002589311,Morelia_clastolepis:0.006537181):0.0124676,Morelia_amethistina:0.02783844):0.007327408,Morelia_tracyae:0.04129567):0.04256243):0.00284383,(Morelia_spilota:0.02580417,Morelia_bredli:0.04117144):0.02719414):0.02677905,Morelia_boeleni:0.08508827):0.004503982):0.001474833,((((Apodora_papuana:0.061120 [...]
-tree 97 = ((Loxocemus_bicolor:0.2661032,(((((Morelia_boeleni:0.09289861,((Bothrochilus_boa:0.06138615,Liasis_albertisii:0.05013821):0.03171201,(((Liasis_olivaceus:0.02512497,(Liasis_fuscus:0.02569574,Liasis_mackloti:0.006837142):0.04839449):0.009461557,Apodora_papuana:0.07488417):0.02025706,(Antaresia_ramsayi:0.02520289,Antaresia_melanocephalus:0.04226063):0.04379259):0.004359125):0.003586254):0.002317637,((Morelia_spilota:0.02530919,Morelia_bredli:0.02428088):0.02863846,((Morelia_amethi [...]
-tree 98 = (Candoia_aspera:0.4338458,(Loxocemus_bicolor:0.2634376,(((Python_curtus:0.1105749,(Python_sebae:0.09556636,Python_molurus:0.03273635):0.01150569):0.008801576,Python_regius:0.1625759):0.03722187,(((((Morelia_viridisN:0.04247342,Morelia_viridisS:0.03651036):0.03260268,Morelia_carinata:0.07507731):0.00841834,(Antaresia_maculosa:0.0826,(Antaresia_perthensis:0.08604039,(Antaresia_childreni:0.03150816,Antaresia_stimsoni:0.01530298):0.03460219):0.01527724):0.01680449):0.01551863,(((An [...]
-tree 99 = ((((((Morelia_boeleni:0.07341909,((Morelia_spilota:0.02253496,Morelia_bredli:0.02604728):0.03621784,(Morelia_oenpelliensis:0.07207704,(Morelia_tracyae:0.04248111,(((Morelia_kinghorni:0.007760683,Morelia_nauta:0.0199143):0.002944562,Morelia_clastolepis:0.003695029):0.0118863,Morelia_amethistina:0.02630623):0.01516716):0.02096247):0.00987943):0.0225472):0.006581086,(((Apodora_papuana:0.05859656,(Liasis_olivaceus:0.03719666,(Liasis_fuscus:0.01950437,Liasis_mackloti:0.007994642):0. [...]
-tree 100 = (Candoia_aspera:0.4341243,(Loxocemus_bicolor:0.2408998,(((Python_curtus:0.09611847,(Python_sebae:0.1025681,Python_molurus:0.02687551):0.03656667):0.02051083,Python_regius:0.1336665):0.05131532,((Python_timoriensis:0.06018468,Python_reticulatus:0.06436806):0.06278732,(((((Morelia_oenpelliensis:0.06656884,(Morelia_tracyae:0.02729484,(((Morelia_nauta:0.009314223,Morelia_kinghorni:0.01130303):0.003158153,Morelia_clastolepis:0.008433545):0.0182326,Morelia_amethistina:0.02933323):0. [...]
-tree 101 = (Candoia_aspera:0.4509276,((((((Morelia_boeleni:0.07145028,((Morelia_bredli:0.02447092,Morelia_spilota:0.02234732):0.03985019,(Morelia_oenpelliensis:0.06013741,((((Morelia_kinghorni:0.006472318,Morelia_nauta:0.003261386):0.003279182,Morelia_clastolepis:0.003404097):0.01056659,Morelia_tracyae:0.05587622):0.006968234,Morelia_amethistina:0.02026666):0.03641767):0.005075176):0.03110211):0.01046361,((Bothrochilus_boa:0.06200234,Liasis_albertisii:0.05664673):0.04321532,((Apodora_pap [...]
-End;
-
-[Total of 101 trees sourced from:]
-[ ../mb/pythonidae.mb.run1.t: 1001 trees in file, sampling 1 tree of every 10 trees after 0 tree burn-in: 101 trees added (current total = 101 trees) ]
diff --git a/doc/source/examples/pythonidae.mb.run2.t b/doc/source/examples/pythonidae.mb.run2.t
deleted file mode 100644
index 2ac1ef6..0000000
--- a/doc/source/examples/pythonidae.mb.run2.t
+++ /dev/null
@@ -1,108 +0,0 @@
-#NEXUS
-
-Begin Trees;
-tree 1 = (((Morelia_tracyae:0.1,Python_curtus:0.1):0.1,Morelia_amethistina:0.1):0.1,(Morelia_carinata:0.1,((Morelia_nauta:0.1,((Python_timoriensis:0.1,((Python_molurus:0.1,Antaresia_melanocephalus:0.1):0.1,(Bothrochilus_boa:0.1,Morelia_viridisS:0.1):0.1):0.1):0.1,Loxocemus_bicolor:0.1):0.1):0.1,((Antaresia_ramsayi:0.1,Apodora_papuana:0.1):0.1,(Antaresia_maculosa:0.1,((Antaresia_stimsoni:0.1,Morelia_boeleni:0.1):0.1,(Morelia_clastolepis:0.1,(Antaresia_perthensis:0.1,((((Python_reticulatus [...]
-tree 2 = (Candoia_aspera:0.3855131,(Loxocemus_bicolor:0.2822228,((Python_regius:0.1164919,(Python_curtus:0.1085751,(Python_molurus:0.04505304,Python_sebae:0.08202312):0.01461068):0.02244988):0.03508221,((((Morelia_boeleni:0.08079974,((Morelia_oenpelliensis:0.06094981,(((Morelia_clastolepis:0.003390157,(Morelia_kinghorni:0.008526177,Morelia_nauta:0.01249619):0.005565495):0.02693315,Morelia_amethistina:0.02747574):0.006666887,Morelia_tracyae:0.04692551):0.03276842):0.009764295,(Morelia_bre [...]
-tree 3 = ((Loxocemus_bicolor:0.2995824,((((Python_molurus:0.03562488,Python_sebae:0.06860982):0.02211028,Python_curtus:0.1114662):0.00808162,Python_regius:0.1227432):0.03417956,((((((Morelia_oenpelliensis:0.05441414,(Morelia_tracyae:0.04302678,(Morelia_amethistina:0.02380949,((Morelia_kinghorni:0.006663258,Morelia_nauta:0.008536853):0.00593769,Morelia_clastolepis:0.005436829):0.0149349):0.008467315):0.02762504):0.005437219,(Morelia_bredli:0.03031582,Morelia_spilota:0.02248076):0.03835474 [...]
-tree 4 = (Candoia_aspera:0.4229772,(((((((Antaresia_maculosa:0.08151846,((Antaresia_childreni:0.02408682,Antaresia_stimsoni:0.01523166):0.03935342,Antaresia_perthensis:0.05275257):0.01394556):0.00756796,((Morelia_viridisS:0.04714978,Morelia_viridisN:0.04197429):0.0189726,Morelia_carinata:0.0604007):0.01392866):0.0193024,((Antaresia_ramsayi:0.03355351,Antaresia_melanocephalus:0.05827502):0.05378413,((Liasis_fuscus:0.02072153,Liasis_mackloti:0.006583407):0.04324247,(Liasis_olivaceus:0.0390 [...]
-tree 5 = ((Loxocemus_bicolor:0.277608,(((Python_curtus:0.07919973,(Python_sebae:0.08860816,Python_molurus:0.04352531):0.01387568):0.01960406,Python_regius:0.1222966):0.04252735,((((Morelia_boeleni:0.08085868,(((Apodora_papuana:0.05624252,(Liasis_olivaceus:0.03488931,(Liasis_mackloti:0.008039568,Liasis_fuscus:0.02512498):0.05449861):0.005017927):0.008966744,(Antaresia_ramsayi:0.03119344,Antaresia_melanocephalus:0.04868954):0.04777877):0.01303985,((((Antaresia_childreni:0.02340874,Antaresi [...]
-tree 6 = (Candoia_aspera:0.4528169,((((Python_timoriensis:0.07279624,Python_reticulatus:0.0485015):0.05671684,((((Morelia_bredli:0.0286111,Morelia_spilota:0.01893465):0.03310185,(Morelia_oenpelliensis:0.05903652,((Morelia_tracyae:0.05791632,Morelia_amethistina:0.01176247):0.008955382,(Morelia_nauta:0.00115051,(Morelia_kinghorni:0.009987536,Morelia_clastolepis:0.008054818):0.004003021):0.008157886):0.03900359):0.003814613):0.03100684,((((Antaresia_childreni:0.01984453,Antaresia_stimsoni:0 [...]
-tree 7 = ((Loxocemus_bicolor:0.277552,((((Bothrochilus_boa:0.07198469,Liasis_albertisii:0.03908044):0.03981177,((Morelia_boeleni:0.08086593,((Morelia_oenpelliensis:0.0594705,((((Morelia_nauta:0.01279521,Morelia_kinghorni:0.005758899):0.003873558,Morelia_clastolepis:0.003920603):0.01539564,Morelia_tracyae:0.0437989):0.01199567,Morelia_amethistina:0.02841317):0.03937981):0.00570032,(Morelia_bredli:0.02831014,Morelia_spilota:0.03793336):0.03818073):0.02209914):0.0128329,(((Antaresia_ramsayi [...]
-tree 8 = ((Loxocemus_bicolor:0.2684448,(((Python_timoriensis:0.07653466,Python_reticulatus:0.05814225):0.06185966,(((((Morelia_spilota:0.03155331,Morelia_bredli:0.02986011):0.03092881,(Morelia_oenpelliensis:0.05994963,(((Morelia_clastolepis:0.001045091,(Morelia_kinghorni:0.007617839,Morelia_nauta:0.009509182):0.006632748):0.01687425,Morelia_amethistina:0.02878696):0.004091376,Morelia_tracyae:0.05355693):0.03362626):0.002952035):0.02542518,Morelia_boeleni:0.08002744):0.007212532,(((Antare [...]
-tree 9 = ((Loxocemus_bicolor:0.2458011,Candoia_aspera:0.4227715):0.0271417,((Python_regius:0.1114543,((Python_molurus:0.03806044,Python_sebae:0.0830271):0.02125727,Python_curtus:0.1194816):0.01721329):0.02776197,((Morelia_boeleni:0.09656272,(((Bothrochilus_boa:0.05184842,Liasis_albertisii:0.05287073):0.02784318,(((Liasis_olivaceus:0.03938482,Apodora_papuana:0.05816622):0.009893014,(Liasis_mackloti:0.01100998,Liasis_fuscus:0.02213265):0.04001528):0.01988333,(Antaresia_ramsayi:0.03540086,A [...]
-tree 10 = ((Loxocemus_bicolor:0.2787033,((Python_regius:0.1481234,(Python_curtus:0.1031887,(Python_sebae:0.09595909,Python_molurus:0.03791429):0.01213063):0.03071488):0.03967552,((Python_timoriensis:0.07096605,Python_reticulatus:0.07573886):0.06926865,((((Morelia_viridisN:0.03663133,Morelia_viridisS:0.05317344):0.0291517,Morelia_carinata:0.06730154):0.02239977,(Antaresia_maculosa:0.07531073,(Antaresia_perthensis:0.07822047,(Antaresia_childreni:0.02278018,Antaresia_stimsoni:0.02043254):0. [...]
-tree 11 = ((((((Morelia_boeleni:0.105931,((Bothrochilus_boa:0.05131693,Liasis_albertisii:0.04545252):0.03797298,((Antaresia_ramsayi:0.02228446,Antaresia_melanocephalus:0.03885661):0.05087393,((Liasis_olivaceus:0.0281452,(Liasis_fuscus:0.02249635,Liasis_mackloti:0.01251578):0.04465905):0.006607861,Apodora_papuana:0.05587392):0.008114536):0.01409248):0.002334905):0.005272702,((((Morelia_viridisS:0.03675911,Morelia_viridisN:0.02198791):0.0215533,Morelia_carinata:0.06453783):0.005055946,(Ant [...]
-tree 12 = ((Loxocemus_bicolor:0.2458238,((Python_regius:0.1106511,(Python_curtus:0.1001811,(Python_molurus:0.04448544,Python_sebae:0.07099682):0.008173695):0.02536996):0.04260848,((Python_timoriensis:0.06684263,Python_reticulatus:0.03900576):0.06959,(((Morelia_carinata:0.05905979,(Morelia_viridisS:0.04271627,Morelia_viridisN:0.03918736):0.04180082):0.00903691,((Antaresia_perthensis:0.06119587,(Antaresia_stimsoni:0.01571635,Antaresia_childreni:0.02290186):0.04092202):0.003749944,Antaresia [...]
-tree 13 = ((((Python_regius:0.125521,(Python_curtus:0.1073245,(Python_molurus:0.03657539,Python_sebae:0.06864878):0.03002534):0.01433173):0.04825549,((((Morelia_carinata:0.05949514,(Morelia_viridisS:0.04806101,Morelia_viridisN:0.02823277):0.04405801):0.01385116,(((Antaresia_stimsoni:0.01413133,Antaresia_childreni:0.02703797):0.02343367,Antaresia_perthensis:0.07249178):0.008990339,Antaresia_maculosa:0.06567229):0.01366012):0.01659183,(((Bothrochilus_boa:0.05828401,Liasis_albertisii:0.0525 [...]
-tree 14 = ((Loxocemus_bicolor:0.2311109,((((((Morelia_oenpelliensis:0.07476196,(Morelia_tracyae:0.04489038,(((Morelia_kinghorni:0.008629219,Morelia_nauta:0.01117212):0.001642294,Morelia_clastolepis:0.005837899):0.005027789,Morelia_amethistina:0.02727465):0.007558527):0.03979655):0.004991851,(Morelia_spilota:0.03343332,Morelia_bredli:0.03267572):0.03095787):0.03054975,((Bothrochilus_boa:0.07451251,Liasis_albertisii:0.05084842):0.02736059,Morelia_boeleni:0.08948575):0.003187523):0.00388060 [...]
-tree 15 = ((Loxocemus_bicolor:0.2896212,((Python_regius:0.09775786,(Python_curtus:0.09624462,(Python_sebae:0.07141944,Python_molurus:0.03844634):0.01642442):0.01540055):0.03715156,((Python_timoriensis:0.07277793,Python_reticulatus:0.0524129):0.08165967,(Morelia_boeleni:0.08817638,((((Morelia_carinata:0.06965416,(Morelia_viridisN:0.04107285,Morelia_viridisS:0.05026227):0.02040291):0.01957017,(((Antaresia_childreni:0.02846544,Antaresia_stimsoni:0.01113197):0.05445025,Antaresia_perthensis:0 [...]
-tree 16 = ((Loxocemus_bicolor:0.2332114,((((Python_sebae:0.08310605,Python_molurus:0.03309147):0.02673089,Python_curtus:0.09236202):0.01485251,Python_regius:0.09270653):0.04843605,((Python_timoriensis:0.06307732,Python_reticulatus:0.05258899):0.06886643,((((Morelia_viridisS:0.0484855,Morelia_viridisN:0.03151694):0.02682321,Morelia_carinata:0.06154282):0.01581032,(Antaresia_maculosa:0.07283047,(Antaresia_perthensis:0.07071279,(Antaresia_childreni:0.01633722,Antaresia_stimsoni:0.01847321): [...]
-tree 17 = (Candoia_aspera:0.4823539,(Loxocemus_bicolor:0.2773091,((Python_regius:0.1146737,(Python_curtus:0.1202873,(Python_sebae:0.07350455,Python_molurus:0.04267794):0.01202121):0.02153016):0.04880882,((Python_timoriensis:0.06966236,Python_reticulatus:0.06563854):0.04079652,(((Antaresia_maculosa:0.06757648,((Antaresia_childreni:0.01839516,Antaresia_stimsoni:0.01265365):0.04068759,Antaresia_perthensis:0.07210109):0.007794484):0.009137391,(Morelia_carinata:0.08291748,(Morelia_viridisN:0. [...]
-tree 18 = ((((Python_timoriensis:0.07692143,Python_reticulatus:0.06844929):0.06878282,(((Morelia_carinata:0.06970537,(Morelia_viridisS:0.04785833,Morelia_viridisN:0.03674054):0.02311062):0.01471066,(((Antaresia_childreni:0.02932162,Antaresia_stimsoni:0.0193905):0.03769673,Antaresia_perthensis:0.07640949):0.01295086,Antaresia_maculosa:0.07700848):0.009436204):0.01981386,((((((Morelia_amethistina:0.03582876,((Morelia_nauta:0.00598038,Morelia_kinghorni:0.009249085):0.006765277,Morelia_clast [...]
-tree 19 = (((((Python_timoriensis:0.07824341,Python_reticulatus:0.06773204):0.05436504,((((((Liasis_olivaceus:0.04213837,Apodora_papuana:0.06076422):0.006128772,(Liasis_fuscus:0.01053002,Liasis_mackloti:0.01818946):0.04563388):0.02132318,(Antaresia_ramsayi:0.03897168,Antaresia_melanocephalus:0.03769482):0.04549028):0.01191707,((Morelia_carinata:0.07412641,(Morelia_viridisS:0.06176765,Morelia_viridisN:0.02758298):0.02351254):0.0115188,(((Antaresia_childreni:0.02294752,Antaresia_stimsoni:0 [...]
-tree 20 = ((Loxocemus_bicolor:0.3315088,(((Python_timoriensis:0.08265575,Python_reticulatus:0.04842836):0.06637015,((((Bothrochilus_boa:0.06045392,Liasis_albertisii:0.05932411):0.03647307,Morelia_boeleni:0.09952603):0.002094248,(((((Antaresia_childreni:0.02364124,Antaresia_stimsoni:0.01538722):0.03483375,Antaresia_perthensis:0.07842851):0.01029187,Antaresia_maculosa:0.05794009):0.01418545,(Morelia_carinata:0.06118829,(Morelia_viridisS:0.05108068,Morelia_viridisN:0.03327827):0.02953659):0 [...]
-tree 21 = (Candoia_aspera:0.3879355,(Loxocemus_bicolor:0.2635277,(((Python_timoriensis:0.07488745,Python_reticulatus:0.07165347):0.06286752,(((Bothrochilus_boa:0.05066114,Liasis_albertisii:0.04631989):0.03495751,((Apodora_papuana:0.06336035,((Liasis_fuscus:0.02679166,Liasis_mackloti:0.01508707):0.04512154,Liasis_olivaceus:0.03170831):0.02130021):0.01225882,(Antaresia_ramsayi:0.02715579,Antaresia_melanocephalus:0.03692815):0.05242907):0.006242959):0.001901093,((((Morelia_bredli:0.02877114 [...]
-tree 22 = ((Loxocemus_bicolor:0.3484046,((Python_regius:0.1299487,(Python_curtus:0.08751524,(Python_sebae:0.07268371,Python_molurus:0.04254277):0.02008602):0.01126513):0.04984823,(((((Liasis_albertisii:0.04502909,Bothrochilus_boa:0.05899998):0.0354086,((Apodora_papuana:0.05684881,((Liasis_mackloti:0.01544956,Liasis_fuscus:0.02130693):0.04872514,Liasis_olivaceus:0.03650952):0.005483124):0.01448147,(Antaresia_ramsayi:0.02598716,Antaresia_melanocephalus:0.03041967):0.0519068):0.004927418):0 [...]
-tree 23 = ((Loxocemus_bicolor:0.3065548,(((((((Antaresia_ramsayi:0.03385554,Antaresia_melanocephalus:0.03199838):0.0479804,((Liasis_olivaceus:0.03510994,(Liasis_mackloti:0.005883193,Liasis_fuscus:0.02171762):0.05961237):0.01021559,Apodora_papuana:0.0559756):0.01603474):0.01175948,(Bothrochilus_boa:0.06437692,Liasis_albertisii:0.03322093):0.04863423):0.003630452,((Antaresia_maculosa:0.06591439,((Antaresia_stimsoni:0.02082665,Antaresia_childreni:0.02123506):0.05057495,Antaresia_perthensis: [...]
-tree 24 = (Candoia_aspera:0.4485051,(Loxocemus_bicolor:0.2753823,(((Morelia_boeleni:0.07826681,((((Antaresia_ramsayi:0.02174183,Antaresia_melanocephalus:0.0487837):0.05696255,((Liasis_olivaceus:0.03226077,Apodora_papuana:0.05015353):0.002679578,(Liasis_fuscus:0.02321992,Liasis_mackloti:0.01623561):0.05603043):0.01825385):0.01154037,(Bothrochilus_boa:0.0626663,Liasis_albertisii:0.04735238):0.03097784):0.007929447,((((Morelia_viridisS:0.04523728,Morelia_viridisN:0.02992506):0.02415625,More [...]
-tree 25 = (Candoia_aspera:0.4007296,(Loxocemus_bicolor:0.3023659,((((Liasis_albertisii:0.04484209,Bothrochilus_boa:0.05694912):0.03509212,((((((Antaresia_childreni:0.02381686,Antaresia_stimsoni:0.01965734):0.04160441,Antaresia_perthensis:0.06501918):0.01110509,Antaresia_maculosa:0.06540036):0.01027523,((Morelia_viridisN:0.02966337,Morelia_viridisS:0.04604234):0.01806969,Morelia_carinata:0.06961854):0.008454373):0.01388917,((Antaresia_ramsayi:0.03352314,Antaresia_melanocephalus:0.04315351 [...]
-tree 26 = (((((Python_timoriensis:0.06449001,Python_reticulatus:0.05702399):0.0703105,(((((Antaresia_childreni:0.02325914,Antaresia_stimsoni:0.01170238):0.04134304,Antaresia_perthensis:0.05331392):0.01818774,Antaresia_maculosa:0.09053385):0.0108276,((Morelia_viridisN:0.03599152,Morelia_viridisS:0.04161514):0.02303153,Morelia_carinata:0.07374027):0.00817112):0.02066169,((((Morelia_oenpelliensis:0.05305869,(Morelia_amethistina:0.03233761,(((Morelia_kinghorni:0.005085139,Morelia_clastolepis [...]
-tree 27 = (Candoia_aspera:0.5072671,(Loxocemus_bicolor:0.2771276,(((Python_timoriensis:0.06508521,Python_reticulatus:0.06118689):0.0753944,(Morelia_boeleni:0.06473072,(((Morelia_oenpelliensis:0.06621928,(((Morelia_clastolepis:0.001220996,(Morelia_nauta:0.005497285,Morelia_kinghorni:0.005154365):0.0134602):0.01821363,Morelia_tracyae:0.04629116):0.01280376,Morelia_amethistina:0.01395589):0.05991748):0.002735354,(Morelia_bredli:0.03028891,Morelia_spilota:0.03007576):0.02473189):0.02110337,( [...]
-tree 28 = ((Loxocemus_bicolor:0.2255088,(((Python_timoriensis:0.07514369,Python_reticulatus:0.0635069):0.05347764,(((Bothrochilus_boa:0.06150959,Liasis_albertisii:0.06228012):0.02139156,((Antaresia_ramsayi:0.03413077,Antaresia_melanocephalus:0.0425458):0.05410898,((Liasis_mackloti:0.01188359,Liasis_fuscus:0.02223782):0.0468034,(Liasis_olivaceus:0.03498516,Apodora_papuana:0.06292781):0.01013783):0.01420626):0.008876288):0.003198402,((((Morelia_spilota:0.02490744,Morelia_bredli:0.02845289) [...]
-tree 29 = (Candoia_aspera:0.4094712,(Loxocemus_bicolor:0.2688637,(((Python_timoriensis:0.06294914,Python_reticulatus:0.04985823):0.06440863,(((((Liasis_mackloti:0.01262452,Liasis_fuscus:0.0218546):0.04041808,(Apodora_papuana:0.07252098,Liasis_olivaceus:0.03194157):0.01107863):0.02129059,(Antaresia_ramsayi:0.03048903,Antaresia_melanocephalus:0.04901979):0.03837136):0.007696275,((Morelia_boeleni:0.06125945,((Morelia_oenpelliensis:0.06644476,((Morelia_tracyae:0.03592499,((Morelia_kinghorni: [...]
-tree 30 = ((((Python_regius:0.1118698,(Python_curtus:0.1179117,(Python_molurus:0.0405954,Python_sebae:0.08683961):0.01242979):0.02079802):0.03544352,((Python_timoriensis:0.07695059,Python_reticulatus:0.05132446):0.06203875,((Morelia_boeleni:0.07927639,((Bothrochilus_boa:0.06279745,Liasis_albertisii:0.0399234):0.03098695,(((Morelia_tracyae:0.04101332,(Morelia_amethistina:0.02455261,(Morelia_clastolepis:0.008176434,(Morelia_kinghorni:0.007268036,Morelia_nauta:0.006141666):0.005785571):0.01 [...]
-tree 31 = (Candoia_aspera:0.4832148,(Loxocemus_bicolor:0.3404342,((Python_regius:0.1242429,((Python_sebae:0.07265737,Python_molurus:0.040688):0.01471806,Python_curtus:0.1033765):0.03181258):0.0267147,((Python_timoriensis:0.07822391,Python_reticulatus:0.06789191):0.04945783,(((Antaresia_maculosa:0.07109217,(Antaresia_perthensis:0.06324736,(Antaresia_childreni:0.02405573,Antaresia_stimsoni:0.01254822):0.03062618):0.008852923):0.0138846,((Morelia_viridisN:0.05039706,Morelia_viridisS:0.05209 [...]
-tree 32 = ((((Python_timoriensis:0.07113778,Python_reticulatus:0.05017493):0.06319461,(Morelia_boeleni:0.09190941,((((Antaresia_ramsayi:0.01813054,Antaresia_melanocephalus:0.04870207):0.05265934,((Liasis_olivaceus:0.03281665,Apodora_papuana:0.05671593):0.01603054,(Liasis_fuscus:0.01277387,Liasis_mackloti:0.01399295):0.05404157):0.02837849):0.008398836,(((Antaresia_perthensis:0.07601852,(Antaresia_childreni:0.01693324,Antaresia_stimsoni:0.02617617):0.04277307):0.006759305,Antaresia_maculo [...]
-tree 33 = (Candoia_aspera:0.4186248,(Loxocemus_bicolor:0.3108572,(((Python_timoriensis:0.08343283,Python_reticulatus:0.05111982):0.06141429,(((((Antaresia_childreni:0.02790229,Antaresia_stimsoni:0.01830717):0.03279611,Antaresia_perthensis:0.07987803):0.01287194,Antaresia_maculosa:0.07316171):0.01139226,((Morelia_viridisS:0.05397353,Morelia_viridisN:0.03585342):0.02003358,Morelia_carinata:0.07596764):0.01745623):0.01212332,((Morelia_boeleni:0.08229089,((Bothrochilus_boa:0.06919409,Liasis_ [...]
-tree 34 = ((Loxocemus_bicolor:0.3168767,((((((Bothrochilus_boa:0.05350748,Liasis_albertisii:0.06348142):0.03421965,((Antaresia_ramsayi:0.03163343,Antaresia_melanocephalus:0.03221392):0.04818877,(Apodora_papuana:0.07619766,((Liasis_mackloti:0.0113392,Liasis_fuscus:0.03694665):0.05096152,Liasis_olivaceus:0.02886953):0.01151106):0.02490245):0.007102472):0.00291576,(((Morelia_viridisS:0.04798357,Morelia_viridisN:0.03581978):0.03136736,Morelia_carinata:0.06647472):0.01053297,(Antaresia_maculo [...]
-tree 35 = ((((Python_timoriensis:0.08489141,Python_reticulatus:0.04570306):0.06504991,(((((Morelia_bredli:0.02840635,Morelia_spilota:0.02926897):0.02782231,(Morelia_oenpelliensis:0.08431588,(Morelia_amethistina:0.01708426,((Morelia_nauta:0.003973568,(Morelia_clastolepis:0.01300467,Morelia_kinghorni:0.007130242):0.003691815):0.02251268,Morelia_tracyae:0.06377869):0.0124496):0.03801378):0.004192503):0.02315028,Morelia_boeleni:0.09657489):0.0009557305,(((Antaresia_ramsayi:0.02655588,Antares [...]
-tree 36 = ((((Python_regius:0.1228491,((Python_molurus:0.04996319,Python_sebae:0.07473049):0.02363043,Python_curtus:0.1170907):0.02227195):0.05125574,((Python_timoriensis:0.07688387,Python_reticulatus:0.06000572):0.05840354,((Bothrochilus_boa:0.05783399,Liasis_albertisii:0.04766374):0.04125558,((((Morelia_spilota:0.02963587,Morelia_bredli:0.03057292):0.02700875,(Morelia_oenpelliensis:0.06021393,(Morelia_tracyae:0.04262755,(((Morelia_kinghorni:0.008991961,Morelia_nauta:0.0139383):0.010103 [...]
-tree 37 = ((Candoia_aspera:0.434272,Loxocemus_bicolor:0.2009677):0.0214365,(((Python_timoriensis:0.07098969,Python_reticulatus:0.05926525):0.06595034,(((((Antaresia_maculosa:0.06951293,((Antaresia_childreni:0.02431376,Antaresia_stimsoni:0.02256829):0.03600323,Antaresia_perthensis:0.07393358):0.01268363):0.007852837,((Morelia_viridisS:0.04831104,Morelia_viridisN:0.04151247):0.02619356,Morelia_carinata:0.06205216):0.008328914):0.01571979,((Antaresia_ramsayi:0.02940384,Antaresia_melanocepha [...]
-tree 38 = (((((((Antaresia_ramsayi:0.01789625,Antaresia_melanocephalus:0.0471464):0.0499587,((Liasis_olivaceus:0.03622664,(Liasis_mackloti:0.009455217,Liasis_fuscus:0.03042734):0.0510626):0.01244135,Apodora_papuana:0.06968692):0.02203981):0.005449505,(((Morelia_viridisS:0.05494915,Morelia_viridisN:0.04257566):0.02547149,Morelia_carinata:0.05330917):0.00924233,(Antaresia_maculosa:0.07141571,(Antaresia_perthensis:0.06815105,(Antaresia_stimsoni:0.01596413,Antaresia_childreni:0.02007385):0.0 [...]
-tree 39 = (Candoia_aspera:0.4378878,(((Python_regius:0.1263037,(Python_curtus:0.09068406,(Python_sebae:0.08332073,Python_molurus:0.0359485):0.01736963):0.01742147):0.07144359,((Python_timoriensis:0.06079161,Python_reticulatus:0.04868454):0.09412199,((Morelia_boeleni:0.1011311,((((Morelia_bredli:0.03894734,Morelia_spilota:0.02293709):0.02468898,((Morelia_tracyae:0.04868068,Morelia_amethistina:0.03063431):0.001146831,(Morelia_nauta:0.0113829,(Morelia_kinghorni:0.01139991,Morelia_clastolepi [...]
-tree 40 = ((Loxocemus_bicolor:0.2781926,(((Python_curtus:0.09622619,(Python_sebae:0.08267726,Python_molurus:0.0336874):0.01590162):0.02341003,Python_regius:0.1740821):0.03569153,((((Morelia_boeleni:0.06351209,(Bothrochilus_boa:0.06119387,Liasis_albertisii:0.05070669):0.03869329):0.01018021,((Morelia_bredli:0.0365599,Morelia_spilota:0.03117491):0.02423704,(Morelia_oenpelliensis:0.07314733,((((Morelia_clastolepis:0.0102972,Morelia_kinghorni:0.009981516):0.004881791,Morelia_nauta:0.00162908 [...]
-tree 41 = ((((Python_regius:0.1324015,((Python_sebae:0.07499595,Python_molurus:0.04531034):0.01317716,Python_curtus:0.08063795):0.02063596):0.03899759,((Python_timoriensis:0.04793628,Python_reticulatus:0.06554662):0.06914582,(((((Morelia_viridisS:0.0384385,Morelia_viridisN:0.02843732):0.01649712,Morelia_carinata:0.07616136):0.01154934,(Antaresia_maculosa:0.0688894,(Antaresia_perthensis:0.07525537,(Antaresia_childreni:0.02342297,Antaresia_stimsoni:0.0103098):0.0301651):0.01238226):0.00758 [...]
-tree 42 = (Candoia_aspera:0.3942506,(Loxocemus_bicolor:0.3248309,((((Morelia_boeleni:0.06702698,((Morelia_bredli:0.03352857,Morelia_spilota:0.02423749):0.02958618,(Morelia_oenpelliensis:0.05828146,(((Morelia_nauta:0.007829247,Morelia_kinghorni:0.009557425):0.001428237,Morelia_clastolepis:0.008807874):0.01725166,(Morelia_amethistina:0.01830064,Morelia_tracyae:0.04028426):0.004051179):0.02744396):0.006409835):0.02247126):0.004948553,(((((Antaresia_childreni:0.0254365,Antaresia_stimsoni:0.0 [...]
-tree 43 = (((((Python_timoriensis:0.08248895,Python_reticulatus:0.04622255):0.06467156,((((Antaresia_perthensis:0.06518122,(Antaresia_childreni:0.02174977,Antaresia_stimsoni:0.02278117):0.02851192):0.009920717,Antaresia_maculosa:0.06678848):0.01147817,((Morelia_viridisN:0.03490955,Morelia_viridisS:0.05647367):0.02252135,Morelia_carinata:0.07676534):0.0144076):0.01561488,(((Liasis_albertisii:0.03902664,Bothrochilus_boa:0.07108618):0.03421936,((Antaresia_ramsayi:0.029093,Antaresia_melanoce [...]
-tree 44 = (Candoia_aspera:0.4228648,((((Python_timoriensis:0.06553675,Python_reticulatus:0.050714):0.06988906,(((Morelia_boeleni:0.0890654,((Morelia_spilota:0.02392142,Morelia_bredli:0.02193456):0.03376877,(Morelia_oenpelliensis:0.06419856,((Morelia_amethistina:0.01759292,((Morelia_kinghorni:0.008233864,Morelia_nauta:0.007319697):0.007122637,Morelia_clastolepis:0.002995375):0.01946149):0.004642841,Morelia_tracyae:0.05521657):0.03035044):0.002240405):0.01754026):0.003550021,(Bothrochilus_ [...]
-tree 45 = ((Loxocemus_bicolor:0.2980402,(((Python_timoriensis:0.0792743,Python_reticulatus:0.05323046):0.06059866,(((Morelia_boeleni:0.06727104,((((Morelia_viridisS:0.04189977,Morelia_viridisN:0.03729936):0.02232826,Morelia_carinata:0.0526073):0.0180869,(((Antaresia_stimsoni:0.01263764,Antaresia_childreni:0.01925792):0.03451767,Antaresia_perthensis:0.06742619):0.005139024,Antaresia_maculosa:0.07294127):0.007092231):0.02540082,((Antaresia_ramsayi:0.03761965,Antaresia_melanocephalus:0.0399 [...]
-tree 46 = (Candoia_aspera:0.43241,(Loxocemus_bicolor:0.2980358,(((Python_timoriensis:0.07726999,Python_reticulatus:0.05869396):0.06019174,(((((Bothrochilus_boa:0.06085901,Liasis_albertisii:0.05363194):0.02773079,(Antaresia_ramsayi:0.03121562,Antaresia_melanocephalus:0.03375609):0.0527325):0.00288087,(Apodora_papuana:0.05122583,((Liasis_fuscus:0.01757352,Liasis_mackloti:0.0137212):0.04446291,Liasis_olivaceus:0.0470775):0.01009023):0.0231038):0.005364432,(((Morelia_oenpelliensis:0.06700266 [...]
-tree 47 = ((((Python_regius:0.1096265,(Python_curtus:0.1035287,(Python_molurus:0.04023382,Python_sebae:0.09929416):0.02592233):0.028048):0.05840156,((((((Liasis_albertisii:0.06455336,Bothrochilus_boa:0.0507599):0.02743137,((Apodora_papuana:0.06914814,((Liasis_mackloti:0.01141442,Liasis_fuscus:0.01855708):0.0620712,Liasis_olivaceus:0.03846675):0.0171175):0.0129019,(Antaresia_ramsayi:0.03210937,Antaresia_melanocephalus:0.03694964):0.04985598):0.01385926):0.001769898,Morelia_boeleni:0.08003 [...]
-tree 48 = (((((((Bothrochilus_boa:0.05890789,Liasis_albertisii:0.0609866):0.04237209,(((Antaresia_ramsayi:0.03573155,Antaresia_melanocephalus:0.03963692):0.04796978,((Liasis_fuscus:0.02907654,Liasis_mackloti:0.007246393):0.04074824,(Apodora_papuana:0.06019183,Liasis_olivaceus:0.03074218):0.0179236):0.01904604):0.008197873,((Antaresia_maculosa:0.06474745,((Antaresia_childreni:0.0257656,Antaresia_stimsoni:0.01504488):0.03637985,Antaresia_perthensis:0.06523604):0.007883245):0.009561559,(Mor [...]
-tree 49 = ((Candoia_aspera:0.470702,Loxocemus_bicolor:0.2956604):0.02335185,((Python_regius:0.09584661,((Python_sebae:0.0732703,Python_molurus:0.04720622):0.01763467,Python_curtus:0.117376):0.02483888):0.03117274,((Python_timoriensis:0.08037376,Python_reticulatus:0.04589197):0.05405132,((((Morelia_oenpelliensis:0.07746088,((((Morelia_nauta:0.006172668,Morelia_kinghorni:0.006447997):0.00859351,Morelia_clastolepis:0.002835837):0.02486692,Morelia_tracyae:0.03653335):0.009312386,Morelia_amet [...]
-tree 50 = (Candoia_aspera:0.4437574,(((((Python_sebae:0.08086658,Python_molurus:0.03252307):0.02637126,Python_curtus:0.09904016):0.01531335,Python_regius:0.143583):0.0451362,(((((Antaresia_ramsayi:0.03718754,Antaresia_melanocephalus:0.03961356):0.04265559,((Apodora_papuana:0.05513246,Liasis_olivaceus:0.04102737):0.009581713,(Liasis_fuscus:0.01992797,Liasis_mackloti:0.008490396):0.05762563):0.01375438):0.01045857,(((Antaresia_perthensis:0.06574388,(Antaresia_childreni:0.02109943,Antaresia [...]
-tree 51 = ((((((((Antaresia_maculosa:0.07388047,(Antaresia_perthensis:0.05894037,(Antaresia_stimsoni:0.01014789,Antaresia_childreni:0.02392858):0.03272025):0.0127324):0.005261333,((Morelia_viridisS:0.04814902,Morelia_viridisN:0.03931801):0.02118613,Morelia_carinata:0.06743429):0.01713753):0.01871503,((Morelia_spilota:0.02897399,Morelia_bredli:0.02928582):0.03210568,((((Morelia_nauta:0.01230512,Morelia_kinghorni:0.00972926):0.00676493,Morelia_clastolepis:0.002086417):0.02346979,(Morelia_t [...]
-tree 52 = ((((Python_regius:0.122739,(Python_curtus:0.1320061,(Python_sebae:0.08815482,Python_molurus:0.03987976):0.008925839):0.02849865):0.03213177,(((((Morelia_viridisS:0.05520765,Morelia_viridisN:0.03292917):0.02684103,Morelia_carinata:0.05485755):0.01440183,(((Antaresia_childreni:0.02415124,Antaresia_stimsoni:0.01568463):0.04201286,Antaresia_perthensis:0.06779229):0.006306221,Antaresia_maculosa:0.05300762):0.009265044):0.01964058,(((((Liasis_fuscus:0.01770021,Liasis_mackloti:0.01303 [...]
-tree 53 = (((((Python_curtus:0.09620483,(Python_sebae:0.06334457,Python_molurus:0.0538921):0.01668897):0.01641654,Python_regius:0.1202121):0.03786821,(((((Bothrochilus_boa:0.04681597,Liasis_albertisii:0.04765389):0.03343482,((Antaresia_ramsayi:0.02933084,Antaresia_melanocephalus:0.0393689):0.03713987,((Liasis_olivaceus:0.03347025,Apodora_papuana:0.06483148):0.02100701,(Liasis_fuscus:0.02707484,Liasis_mackloti:0.007527475):0.03672839):0.02435954):0.006702324):0.00436005,((Antaresia_maculo [...]
-tree 54 = ((Loxocemus_bicolor:0.3139416,Candoia_aspera:0.4187669):0.04921504,((((Python_molurus:0.04363615,Python_sebae:0.0972421):0.02066382,Python_curtus:0.09211249):0.01832167,Python_regius:0.1204208):0.06289011,(((Morelia_boeleni:0.07412663,((Morelia_bredli:0.03194801,Morelia_spilota:0.01803354):0.03580703,(Morelia_oenpelliensis:0.07438324,((Morelia_amethistina:0.01798105,(Morelia_clastolepis:0.00212618,(Morelia_kinghorni:0.003500397,Morelia_nauta:0.009602255):0.006876329):0.00788007 [...]
-tree 55 = (Candoia_aspera:0.5149506,(Loxocemus_bicolor:0.250681,((((((Liasis_albertisii:0.05545887,Bothrochilus_boa:0.06595798):0.03867875,((Morelia_oenpelliensis:0.07140551,((Morelia_bredli:0.02271119,Morelia_spilota:0.03039649):0.0216839,((((Morelia_nauta:0.002195662,Morelia_kinghorni:0.007748968):0.007796946,Morelia_clastolepis:0.002227638):0.008569473,Morelia_tracyae:0.02678873):0.005578755,Morelia_amethistina:0.02918388):0.03912099):0.002376657):0.02392946,((((Antaresia_childreni:0. [...]
-tree 56 = (Candoia_aspera:0.4813065,((((((((Antaresia_ramsayi:0.02598769,Antaresia_melanocephalus:0.04109392):0.04781481,(Liasis_albertisii:0.04425997,Bothrochilus_boa:0.06753105):0.03135549):0.004135552,(((Liasis_mackloti:0.01633037,Liasis_fuscus:0.03000881):0.04510967,Liasis_olivaceus:0.04156987):0.0107285,Apodora_papuana:0.06327569):0.02760798):0.0088871,Morelia_boeleni:0.09115155):0.001504997,(((Antaresia_maculosa:0.07446543,(Antaresia_perthensis:0.07047215,(Antaresia_childreni:0.030 [...]
-tree 57 = ((Loxocemus_bicolor:0.2977819,(((((((Morelia_viridisN:0.02454729,Morelia_viridisS:0.04512018):0.02222539,Morelia_carinata:0.06200557):0.01268124,(((Antaresia_childreni:0.02473758,Antaresia_stimsoni:0.01624843):0.04789705,Antaresia_perthensis:0.07009377):0.008545523,Antaresia_maculosa:0.08388544):0.007578775):0.01782145,(((Morelia_tracyae:0.04447008,((Morelia_kinghorni:0.0066021,Morelia_nauta:0.00551457):0.01082195,Morelia_clastolepis:0.001697196):0.0059375):0.004922532,Morelia_ [...]
-tree 58 = ((((Python_regius:0.1200325,((Python_molurus:0.03591442,Python_sebae:0.0707592):0.01993933,Python_curtus:0.1045325):0.01853241):0.02707036,((Python_timoriensis:0.06786831,Python_reticulatus:0.0322445):0.08257587,(((((((Morelia_clastolepis:0.004018062,(Morelia_nauta:0.01075374,Morelia_kinghorni:0.006308406):0.005730398):0.01861746,Morelia_amethistina:0.0232728):0.00946243,Morelia_tracyae:0.03755202):0.02764432,Morelia_oenpelliensis:0.05912281):0.01292832,(Morelia_bredli:0.030169 [...]
-tree 59 = (((Python_regius:0.1335572,(Python_curtus:0.09927795,(Python_molurus:0.03561646,Python_sebae:0.07830893):0.01697234):0.02824134):0.04031233,(((((Bothrochilus_boa:0.07133514,Liasis_albertisii:0.04973854):0.04588717,((Antaresia_ramsayi:0.03310703,Antaresia_melanocephalus:0.03941893):0.05882317,(Apodora_papuana:0.07295411,((Liasis_fuscus:0.01782433,Liasis_mackloti:0.01512761):0.05644884,Liasis_olivaceus:0.02642465):0.01125838):0.01140388):0.004935439):0.0101065,(Morelia_boeleni:0. [...]
-tree 60 = (Candoia_aspera:0.424371,(Loxocemus_bicolor:0.3179898,((Python_regius:0.1449508,(Python_curtus:0.1015309,(Python_molurus:0.04869052,Python_sebae:0.09786226):0.01882742):0.02882628):0.03786653,((Python_timoriensis:0.05229728,Python_reticulatus:0.06380921):0.05973712,(((((Antaresia_ramsayi:0.02761203,Antaresia_melanocephalus:0.03813273):0.05830588,((Liasis_olivaceus:0.04693766,(Liasis_fuscus:0.01833181,Liasis_mackloti:0.01696186):0.04960517):0.01702719,Apodora_papuana:0.05487917) [...]
-tree 61 = ((((Python_regius:0.1228097,((Python_molurus:0.04315806,Python_sebae:0.07493422):0.009730695,Python_curtus:0.1072914):0.02183078):0.04432623,((Python_timoriensis:0.08054852,Python_reticulatus:0.05729257):0.06275327,(((Morelia_carinata:0.0753587,(Morelia_viridisS:0.05041945,Morelia_viridisN:0.03648667):0.02461579):0.0115986,(((Antaresia_stimsoni:0.01180749,Antaresia_childreni:0.02516542):0.03703654,Antaresia_perthensis:0.06873682):0.01651968,Antaresia_maculosa:0.07148424):0.0126 [...]
-tree 62 = (((((Python_curtus:0.08909703,(Python_molurus:0.03328324,Python_sebae:0.0715058):0.01824785):0.007554571,Python_regius:0.1454022):0.03384772,((((((Morelia_viridisS:0.05543826,Morelia_viridisN:0.03630355):0.01622295,Morelia_carinata:0.07316485):0.01367374,(Antaresia_maculosa:0.06581564,((Antaresia_childreni:0.0310494,Antaresia_stimsoni:0.01245022):0.03712444,Antaresia_perthensis:0.06435933):0.01742895):0.004963226):0.02577853,(Morelia_boeleni:0.09387192,((Morelia_bredli:0.029732 [...]
-tree 63 = (Candoia_aspera:0.4745529,(((Python_regius:0.1135173,(Python_curtus:0.1012712,(Python_molurus:0.04331739,Python_sebae:0.07786967):0.01125215):0.03818491):0.03021289,((Python_timoriensis:0.07194533,Python_reticulatus:0.04773572):0.07113062,((((Morelia_spilota:0.02865189,Morelia_bredli:0.03249746):0.02966558,(((Morelia_tracyae:0.04997421,(Morelia_nauta:0.004001658,(Morelia_clastolepis:0.006449675,Morelia_kinghorni:0.007933115):0.006298222):0.02287617):0.00191708,Morelia_amethisti [...]
-tree 64 = ((((((((Morelia_viridisS:0.04558879,Morelia_viridisN:0.03250553):0.01332789,Morelia_carinata:0.0753067):0.01978827,(Antaresia_maculosa:0.07612639,((Antaresia_stimsoni:0.0233159,Antaresia_childreni:0.02086903):0.02612487,Antaresia_perthensis:0.06545956):0.01015421):0.01066412):0.01823755,((((Antaresia_ramsayi:0.04189037,Antaresia_melanocephalus:0.04454489):0.04572384,(((Liasis_mackloti:0.004894573,Liasis_fuscus:0.01614364):0.05091172,Liasis_olivaceus:0.02327591):0.01019945,Apodo [...]
-tree 65 = ((((Python_regius:0.1065045,((Python_molurus:0.02903804,Python_sebae:0.07866277):0.01231844,Python_curtus:0.1314011):0.027084):0.03262673,((Python_timoriensis:0.06663792,Python_reticulatus:0.0784987):0.07588092,(((Bothrochilus_boa:0.07634096,Liasis_albertisii:0.04452527):0.02809324,(((Morelia_oenpelliensis:0.06509642,(Morelia_tracyae:0.0458238,(((Morelia_nauta:0.0121269,Morelia_kinghorni:0.006513538):0.009945509,Morelia_clastolepis:0.01318087):0.02319886,Morelia_amethistina:0.0 [...]
-tree 66 = (Candoia_aspera:0.5274461,(((Python_timoriensis:0.06902759,Python_reticulatus:0.06108568):0.06781643,((((((Antaresia_childreni:0.02527601,Antaresia_stimsoni:0.01240928):0.04320152,Antaresia_perthensis:0.06080926):0.01246198,Antaresia_maculosa:0.06380906):0.009021079,((Morelia_viridisS:0.07220582,Morelia_viridisN:0.0327611):0.01721496,Morelia_carinata:0.06624881):0.007599396):0.02715264,(((Bothrochilus_boa:0.06799821,Liasis_albertisii:0.06149457):0.0249193,((Antaresia_ramsayi:0. [...]
-tree 67 = ((((Python_regius:0.143336,((Python_molurus:0.05192443,Python_sebae:0.08336195):0.02057265,Python_curtus:0.09573655):0.02544282):0.04651235,((((((((Liasis_fuscus:0.01732133,Liasis_mackloti:0.01183748):0.0552515,Liasis_olivaceus:0.03096171):0.01753867,Apodora_papuana:0.06168452):0.02608198,(Antaresia_ramsayi:0.02889135,Antaresia_melanocephalus:0.03600234):0.05855319):0.009485744,(Bothrochilus_boa:0.06625782,Liasis_albertisii:0.04617117):0.03191976):0.002849137,(Morelia_boeleni:0 [...]
-tree 68 = ((Loxocemus_bicolor:0.2719207,Candoia_aspera:0.4906847):0.04718485,((Python_regius:0.1124593,((Python_molurus:0.0509666,Python_sebae:0.07738415):0.008989942,Python_curtus:0.09897486):0.03516115):0.03687499,((Python_timoriensis:0.06800461,Python_reticulatus:0.06016279):0.06116017,(((Liasis_albertisii:0.06944622,Bothrochilus_boa:0.05920302):0.03120987,(((Liasis_olivaceus:0.05416647,(Liasis_mackloti:0.01101725,Liasis_fuscus:0.01722447):0.05929124):0.008101523,Apodora_papuana:0.067 [...]
-tree 69 = ((((Python_timoriensis:0.07901859,Python_reticulatus:0.04337921):0.05715234,((((Bothrochilus_boa:0.07370024,Liasis_albertisii:0.05462079):0.02485725,((((Liasis_fuscus:0.02829583,Liasis_mackloti:0.009995232):0.04878129,Liasis_olivaceus:0.03673495):0.01427831,Apodora_papuana:0.05211239):0.01637035,(Antaresia_ramsayi:0.03273632,Antaresia_melanocephalus:0.03475002):0.04373889):0.009508868):0.004413184,(((Morelia_oenpelliensis:0.05244673,(Morelia_tracyae:0.02733242,(((Morelia_nauta: [...]
-tree 70 = (Candoia_aspera:0.4106247,(Loxocemus_bicolor:0.2331907,((((((((Antaresia_childreni:0.02215029,Antaresia_stimsoni:0.009244344):0.03566251,Antaresia_perthensis:0.07581442):0.01354362,Antaresia_maculosa:0.06464157):0.00675194,((Morelia_viridisN:0.03936049,Morelia_viridisS:0.04292648):0.01785218,Morelia_carinata:0.05712708):0.01866541):0.01866694,((Morelia_oenpelliensis:0.06002338,((Morelia_tracyae:0.03985103,Morelia_amethistina:0.03190266):0.006075925,(Morelia_nauta:0.002771607,(M [...]
-tree 71 = (Candoia_aspera:0.4427327,((((Python_timoriensis:0.07904484,Python_reticulatus:0.05445465):0.06086328,((((Morelia_spilota:0.02948698,Morelia_bredli:0.04304928):0.02883553,(((Morelia_tracyae:0.03379621,((Morelia_clastolepis:0.00613919,Morelia_kinghorni:0.005279703):0.007664687,Morelia_nauta:0.002861372):0.02350224):0.004278877,Morelia_amethistina:0.02920345):0.03896447,Morelia_oenpelliensis:0.05935515):0.004404024):0.02608104,(((Antaresia_perthensis:0.06830344,(Antaresia_stimson [...]
-tree 72 = ((Loxocemus_bicolor:0.3099623,((Python_regius:0.1377144,((Python_sebae:0.06061368,Python_molurus:0.04563488):0.03354163,Python_curtus:0.08988597):0.02558453):0.03970288,((Python_timoriensis:0.08715385,Python_reticulatus:0.05952325):0.08806109,((((Morelia_bredli:0.03275956,Morelia_spilota:0.025875):0.03529276,(Morelia_oenpelliensis:0.06489886,(Morelia_tracyae:0.03946847,(Morelia_amethistina:0.02457683,(Morelia_clastolepis:0.003320996,(Morelia_kinghorni:0.002810903,Morelia_nauta: [...]
-tree 73 = (Candoia_aspera:0.4348448,((((((Morelia_boeleni:0.07664532,((Morelia_bredli:0.03846738,Morelia_spilota:0.03022961):0.03426844,(Morelia_oenpelliensis:0.05603453,(((Morelia_nauta:0.008166571,(Morelia_clastolepis:0.009570103,Morelia_kinghorni:0.008340767):0.002700153):0.01590274,Morelia_amethistina:0.02135429):0.003489883,Morelia_tracyae:0.02901899):0.0362906):0.004718814):0.03173114):0.003755895,(((Antaresia_ramsayi:0.02953742,Antaresia_melanocephalus:0.03996934):0.05390883,(Both [...]
-tree 74 = (Candoia_aspera:0.4742071,((((Python_timoriensis:0.06586218,Python_reticulatus:0.06259166):0.06589371,((((Antaresia_maculosa:0.07162944,((Antaresia_childreni:0.021786,Antaresia_stimsoni:0.01148695):0.02689859,Antaresia_perthensis:0.07131155):0.005756796):0.01229476,((Morelia_viridisS:0.04413955,Morelia_viridisN:0.05235628):0.02208944,Morelia_carinata:0.07115939):0.01801993):0.01841187,((Apodora_papuana:0.06862411,(Liasis_olivaceus:0.03289194,(Liasis_fuscus:0.02546166,Liasis_mac [...]
-tree 75 = ((Loxocemus_bicolor:0.2760261,(((Python_timoriensis:0.05565623,Python_reticulatus:0.0666305):0.06163908,(((((Morelia_bredli:0.02809343,Morelia_spilota:0.02234101):0.04248839,((Morelia_tracyae:0.03855563,(Morelia_amethistina:0.0194194,((Morelia_kinghorni:0.007230503,Morelia_nauta:0.01597799):0.003673781,Morelia_clastolepis:0.002712423):0.01983554):0.00770982):0.0348642,Morelia_oenpelliensis:0.0778497):0.007505558):0.02584305,Morelia_boeleni:0.08255867):0.004142258,((Bothrochilus [...]
-tree 76 = (Candoia_aspera:0.4489852,(Loxocemus_bicolor:0.2784511,((((((Morelia_viridisS:0.0478914,Morelia_viridisN:0.03382179):0.01390197,Morelia_carinata:0.06547169):0.01186083,(((Antaresia_childreni:0.02366335,Antaresia_stimsoni:0.01261576):0.0373104,Antaresia_perthensis:0.0698693):0.009951808,Antaresia_maculosa:0.0621237):0.009221396):0.01693595,((Morelia_boeleni:0.0985658,((Bothrochilus_boa:0.06368156,Liasis_albertisii:0.05812566):0.04186163,(((Liasis_olivaceus:0.03976913,(Liasis_fus [...]
-tree 77 = ((Loxocemus_bicolor:0.2980009,(((Python_timoriensis:0.07492163,Python_reticulatus:0.05726328):0.06871158,(((((Morelia_viridisS:0.04674211,Morelia_viridisN:0.03242869):0.02905742,Morelia_carinata:0.0640633):0.01010355,(((Antaresia_childreni:0.01838723,Antaresia_stimsoni:0.01565296):0.04438823,Antaresia_perthensis:0.08484077):0.01913492,Antaresia_maculosa:0.07844496):0.003377368):0.01497016,((Bothrochilus_boa:0.06132987,Liasis_albertisii:0.03927122):0.03479677,((((Liasis_fuscus:0 [...]
-tree 78 = (Candoia_aspera:0.3932904,(Loxocemus_bicolor:0.2749132,(((Python_curtus:0.09183693,(Python_sebae:0.07637954,Python_molurus:0.03762318):0.02709624):0.02812698,Python_regius:0.1154282):0.03559674,(((((((Antaresia_stimsoni:0.01446194,Antaresia_childreni:0.02531378):0.04006727,Antaresia_perthensis:0.06666538):0.005905826,Antaresia_maculosa:0.07190364):0.006189105,(Morelia_carinata:0.06419419,(Morelia_viridisS:0.05339065,Morelia_viridisN:0.02297795):0.03153359):0.01090103):0.0168032 [...]
-tree 79 = ((Candoia_aspera:0.4868107,Loxocemus_bicolor:0.2301868):0.06696102,(((Python_curtus:0.09902725,(Python_sebae:0.07607854,Python_molurus:0.03042101):0.01754461):0.01284939,Python_regius:0.1175586):0.05074195,((((((((Morelia_nauta:0.008126706,Morelia_kinghorni:0.005022595):0.002074662,Morelia_clastolepis:0.004239987):0.01940375,Morelia_amethistina:0.02282263):0.006885183,Morelia_tracyae:0.02829901):0.05350385,Morelia_oenpelliensis:0.07531652):0.003938017,(Morelia_spilota:0.0258772 [...]
-tree 80 = ((((Python_regius:0.1445806,(Python_curtus:0.1271761,(Python_sebae:0.08660773,Python_molurus:0.03642296):0.02308224):0.03951594):0.03432268,((Python_timoriensis:0.05008058,Python_reticulatus:0.08503014):0.07968167,((((((Liasis_fuscus:0.02531552,Liasis_mackloti:0.00943019):0.05551294,Liasis_olivaceus:0.03532999):0.01382014,Apodora_papuana:0.06672151):0.01296964,(Antaresia_ramsayi:0.02616247,Antaresia_melanocephalus:0.04629737):0.03687331):0.01178619,(((Morelia_viridisS:0.0455379 [...]
-tree 81 = (Candoia_aspera:0.4575053,((((Python_timoriensis:0.06194463,Python_reticulatus:0.04911996):0.06573001,((Morelia_boeleni:0.07789338,((Morelia_bredli:0.02561557,Morelia_spilota:0.02375866):0.04673673,(Morelia_oenpelliensis:0.06590139,((((Morelia_kinghorni:0.004965855,Morelia_clastolepis:0.01490083):0.0009494989,Morelia_nauta:0.002852371):0.0104046,Morelia_amethistina:0.02724809):0.01478698,Morelia_tracyae:0.03441991):0.02561766):0.004808734):0.02705979):0.006449734,(((((Morelia_v [...]
-tree 82 = ((Loxocemus_bicolor:0.2755664,((Python_regius:0.1286608,((Python_sebae:0.08250047,Python_molurus:0.0305042):0.01309972,Python_curtus:0.09564767):0.01610108):0.04804593,((Python_timoriensis:0.07700127,Python_reticulatus:0.0470671):0.07753829,(((Morelia_boeleni:0.09111672,(Morelia_oenpelliensis:0.06892866,(((((Morelia_kinghorni:0.003380163,Morelia_nauta:0.00575853):0.006891641,Morelia_clastolepis:0.007008237):0.01516912,Morelia_amethistina:0.0213821):0.01504177,Morelia_tracyae:0. [...]
-tree 83 = ((Loxocemus_bicolor:0.2393583,((Python_regius:0.1362413,(Python_curtus:0.09981791,(Python_sebae:0.08732982,Python_molurus:0.03965756):0.02106739):0.01324574):0.04504424,((((((Liasis_mackloti:0.01502157,Liasis_fuscus:0.02332284):0.04350871,(Apodora_papuana:0.06142209,Liasis_olivaceus:0.03680022):0.01491341):0.0237058,(Antaresia_ramsayi:0.03335222,Antaresia_melanocephalus:0.03614687):0.05208556):0.01276464,(Morelia_boeleni:0.08159735,(((Morelia_spilota:0.02708637,Morelia_bredli:0 [...]
-tree 84 = ((Loxocemus_bicolor:0.2557088,((((Python_sebae:0.08304661,Python_molurus:0.04328625):0.02159618,Python_curtus:0.06878299):0.02377922,Python_regius:0.10624):0.02370423,((((Morelia_carinata:0.06516085,(Morelia_viridisS:0.03397963,Morelia_viridisN:0.03858964):0.01392689):0.01952269,(Antaresia_maculosa:0.05096261,((Antaresia_stimsoni:0.01894518,Antaresia_childreni:0.02643887):0.03187506,Antaresia_perthensis:0.06112747):0.01289749):0.007764347):0.01485805,((Morelia_boeleni:0.0785772 [...]
-tree 85 = (Candoia_aspera:0.446456,(((((Python_sebae:0.0664236,Python_molurus:0.05748319):0.01384624,Python_curtus:0.1246156):0.01920644,Python_regius:0.09562755):0.03579852,((Python_timoriensis:0.06854112,Python_reticulatus:0.07423406):0.06198347,(((((Antaresia_maculosa:0.0753139,(Antaresia_perthensis:0.05776215,(Antaresia_childreni:0.0188791,Antaresia_stimsoni:0.01203823):0.03974037):0.01302284):0.01107751,((Morelia_viridisS:0.04315065,Morelia_viridisN:0.0447115):0.01881795,Morelia_car [...]
-tree 86 = ((((Python_regius:0.1195237,((Python_molurus:0.05424041,Python_sebae:0.06745426):0.01500456,Python_curtus:0.09363999):0.01373712):0.07174102,((Python_timoriensis:0.05317857,Python_reticulatus:0.07866524):0.06443481,((((Antaresia_perthensis:0.06871814,(Antaresia_childreni:0.01631375,Antaresia_stimsoni:0.01858184):0.03573909):0.00997242,Antaresia_maculosa:0.06653337):0.01156942,((Morelia_viridisS:0.05041764,Morelia_viridisN:0.03210906):0.02278023,Morelia_carinata:0.06324297):0.01 [...]
-tree 87 = (Candoia_aspera:0.4403734,(Loxocemus_bicolor:0.2585825,(((Python_curtus:0.09600904,(Python_molurus:0.04325963,Python_sebae:0.06144044):0.02193821):0.03512357,Python_regius:0.1158208):0.0226537,((((((Antaresia_ramsayi:0.02896362,Antaresia_melanocephalus:0.04374086):0.05633091,(Bothrochilus_boa:0.07453325,Liasis_albertisii:0.04886916):0.0406942):0.00253113,(Apodora_papuana:0.06827618,((Liasis_fuscus:0.0190238,Liasis_mackloti:0.01240811):0.04949205,Liasis_olivaceus:0.04193583):0.0 [...]
-tree 88 = ((((Python_regius:0.1262411,(Python_curtus:0.1008612,(Python_sebae:0.07364004,Python_molurus:0.03651178):0.02407779):0.0260306):0.02824526,((((Morelia_boeleni:0.07070576,((Morelia_bredli:0.03022369,Morelia_spilota:0.02205107):0.02783955,(Morelia_oenpelliensis:0.0634195,(Morelia_tracyae:0.03485566,((Morelia_clastolepis:0.007226027,(Morelia_nauta:0.01372385,Morelia_kinghorni:0.01134917):0.003584604):0.009064959,Morelia_amethistina:0.02136233):0.006429469):0.02626722):0.007624656) [...]
-tree 89 = ((Loxocemus_bicolor:0.2893372,((Python_regius:0.1073912,(Python_curtus:0.09348169,(Python_sebae:0.08938309,Python_molurus:0.03446394):0.01312052):0.02814457):0.0358765,((((((((Morelia_tracyae:0.03510133,((Morelia_clastolepis:0.0046623,Morelia_kinghorni:0.001573419):0.006380224,Morelia_nauta:0.005709148):0.01415564):0.004559492,Morelia_amethistina:0.02868146):0.03694752,Morelia_oenpelliensis:0.06467572):0.009860806,(Morelia_spilota:0.02221128,Morelia_bredli:0.02633986):0.0298753 [...]
-tree 90 = (((((Python_timoriensis:0.09696215,Python_reticulatus:0.05811112):0.0655036,((((((Liasis_olivaceus:0.0365148,Apodora_papuana:0.06857998):0.01276053,(Liasis_mackloti:0.008411,Liasis_fuscus:0.01901003):0.04816006):0.02602376,(Antaresia_ramsayi:0.03002571,Antaresia_melanocephalus:0.03848471):0.03704017):0.007975364,((((Antaresia_stimsoni:0.01721904,Antaresia_childreni:0.02350975):0.02876343,Antaresia_perthensis:0.07909582):0.01076695,Antaresia_maculosa:0.07836454):0.006590077,(Mor [...]
-tree 91 = (Candoia_aspera:0.4052354,(((Python_regius:0.1509565,(Python_curtus:0.07502647,(Python_molurus:0.03578726,Python_sebae:0.08224294):0.02128537):0.02903882):0.04946381,((Python_timoriensis:0.07174778,Python_reticulatus:0.05925871):0.07438774,(((((Antaresia_ramsayi:0.0296355,Antaresia_melanocephalus:0.03872158):0.05083471,(Bothrochilus_boa:0.04803823,Liasis_albertisii:0.04184282):0.03385926):0.006801014,(((Liasis_fuscus:0.01315756,Liasis_mackloti:0.01757213):0.04596919,Liasis_oliv [...]
-tree 92 = ((Candoia_aspera:0.4832728,Loxocemus_bicolor:0.3133952):0.05045952,(((Python_curtus:0.1003648,(Python_sebae:0.07701747,Python_molurus:0.04519635):0.02379189):0.018113,Python_regius:0.1339096):0.04035469,((Python_timoriensis:0.0802541,Python_reticulatus:0.05762582):0.07422132,((Morelia_boeleni:0.07869006,(((Morelia_oenpelliensis:0.06127573,(((Morelia_clastolepis:0.003375919,(Morelia_nauta:0.005666266,Morelia_kinghorni:0.0128026):0.002713472):0.007898866,Morelia_amethistina:0.030 [...]
-tree 93 = ((((Python_regius:0.1272317,(Python_curtus:0.09829021,(Python_sebae:0.09489939,Python_molurus:0.04318147):0.01798881):0.034006):0.0462139,((Python_timoriensis:0.05756501,Python_reticulatus:0.05855822):0.07458395,(((((Morelia_carinata:0.0619902,(Morelia_viridisS:0.05075946,Morelia_viridisN:0.03469798):0.02745101):0.007211946,(((Antaresia_stimsoni:0.0163066,Antaresia_childreni:0.02426005):0.03499836,Antaresia_perthensis:0.06839545):0.01688134,Antaresia_maculosa:0.06387924):0.0061 [...]
-tree 94 = ((Loxocemus_bicolor:0.315418,(((Python_curtus:0.1002578,(Python_sebae:0.06770584,Python_molurus:0.0298364):0.01918509):0.01848734,Python_regius:0.1144905):0.04568069,((Morelia_boeleni:0.08331781,((((Morelia_carinata:0.06687796,(Morelia_viridisS:0.05088015,Morelia_viridisN:0.03185982):0.0174918):0.01702257,(((Antaresia_stimsoni:0.00951792,Antaresia_childreni:0.02495718):0.0336015,Antaresia_perthensis:0.06321583):0.01991029,Antaresia_maculosa:0.0697469):0.006936756):0.01055057,(( [...]
-tree 95 = (((((Python_sebae:0.0744125,Python_molurus:0.03313892):0.01573011,Python_curtus:0.1037118):0.01292763,Python_regius:0.1029389):0.03822617,((Morelia_boeleni:0.08820164,((((Antaresia_maculosa:0.06042653,(Antaresia_perthensis:0.0608496,(Antaresia_childreni:0.0271723,Antaresia_stimsoni:0.01380911):0.03972871):0.01204421):0.007583394,((Morelia_viridisN:0.03192192,Morelia_viridisS:0.05435536):0.02514259,Morelia_carinata:0.07010455):0.01334626):0.01615479,(((Antaresia_ramsayi:0.029544 [...]
-tree 96 = (Candoia_aspera:0.4928541,(Loxocemus_bicolor:0.2816248,(((((Morelia_oenpelliensis:0.08393614,(Morelia_amethistina:0.02446814,(Morelia_tracyae:0.04530357,((Morelia_kinghorni:0.007960707,Morelia_clastolepis:0.01675912):0.004557217,Morelia_nauta:0.008147904):0.01430799):0.004738885):0.0274262):0.003287132,(Morelia_bredli:0.0284451,Morelia_spilota:0.02765243):0.02726073):0.02848068,((((((Morelia_viridisS:0.05303163,Morelia_viridisN:0.03323683):0.01782342,Morelia_carinata:0.06126222 [...]
-tree 97 = (Candoia_aspera:0.4487899,((((Python_timoriensis:0.06146061,Python_reticulatus:0.05946495):0.07191773,((((Morelia_tracyae:0.0347971,(Morelia_amethistina:0.02803992,((Morelia_nauta:0.00500443,Morelia_kinghorni:0.006595522):0.003929872,Morelia_clastolepis:0.007496731):0.013329):0.01062581):0.02225971,Morelia_oenpelliensis:0.05555536):0.006840461,(Morelia_bredli:0.03307905,Morelia_spilota:0.02268619):0.02215481):0.03594669,((((Liasis_albertisii:0.03243545,Bothrochilus_boa:0.052788 [...]
-tree 98 = (((((Python_curtus:0.1013429,(Python_molurus:0.03905245,Python_sebae:0.06607451):0.01882211):0.02961412,Python_regius:0.1080206):0.04239082,((Python_timoriensis:0.05902375,Python_reticulatus:0.0508136):0.06075674,((Morelia_boeleni:0.06727115,((Bothrochilus_boa:0.05342648,Liasis_albertisii:0.05218567):0.02163257,((Antaresia_ramsayi:0.02493475,Antaresia_melanocephalus:0.03825297):0.04441375,((Liasis_olivaceus:0.04086729,Apodora_papuana:0.05537593):0.009908886,(Liasis_fuscus:0.023 [...]
-tree 99 = ((((Python_timoriensis:0.05073709,Python_reticulatus:0.07277766):0.06283212,(Morelia_boeleni:0.08695013,(((((Antaresia_maculosa:0.08512621,(Antaresia_perthensis:0.07026724,(Antaresia_childreni:0.03156755,Antaresia_stimsoni:0.0139927):0.03766207):0.01538491):0.004298772,((Morelia_viridisS:0.03700609,Morelia_viridisN:0.04516503):0.03111741,Morelia_carinata:0.05135428):0.006007194):0.02055132,((((Liasis_fuscus:0.01989677,Liasis_mackloti:0.006589301):0.05645972,Liasis_olivaceus:0.0 [...]
-tree 100 = (Candoia_aspera:0.4332915,((((Python_curtus:0.1152573,(Python_molurus:0.03795271,Python_sebae:0.0840193):0.01046507):0.01900506,Python_regius:0.1219839):0.03456921,((Python_timoriensis:0.05963154,Python_reticulatus:0.06979965):0.0631162,((((((Morelia_oenpelliensis:0.0510031,(Morelia_tracyae:0.05728741,((Morelia_clastolepis:0.00554597,(Morelia_kinghorni:0.007204392,Morelia_nauta:0.01336245):0.004239199):0.01553404,Morelia_amethistina:0.0174348):0.009414604):0.04888199):0.004489 [...]
-tree 101 = ((((Python_timoriensis:0.05801513,Python_reticulatus:0.07722868):0.06553758,((((Morelia_bredli:0.03139869,Morelia_spilota:0.02840328):0.02824259,((((Morelia_clastolepis:0.00205874,(Morelia_nauta:0.01238758,Morelia_kinghorni:0.00354312):0.006115592):0.01059278,Morelia_tracyae:0.04180855):0.0009798313,Morelia_amethistina:0.02698061):0.03620676,Morelia_oenpelliensis:0.07046009):0.01248873):0.02405634,((Morelia_carinata:0.07603419,(Morelia_viridisN:0.02986943,Morelia_viridisS:0.05 [...]
-End;
-
-[Total of 101 trees sourced from:]
-[ ../mb/pythonidae.mb.run2.t: 1001 trees in file, sampling 1 tree of every 10 trees after 0 tree burn-in: 101 trees added (current total = 101 trees) ]
diff --git a/doc/source/examples/pythonidae.mb.run3.t b/doc/source/examples/pythonidae.mb.run3.t
deleted file mode 100644
index fe93e9b..0000000
--- a/doc/source/examples/pythonidae.mb.run3.t
+++ /dev/null
@@ -1,108 +0,0 @@
-#NEXUS
-
-Begin Trees;
-tree 1 = (Morelia_kinghorni:0.1,(Liasis_mackloti:0.1,(Morelia_viridisS:0.1,((Python_molurus:0.1,Python_sebae:0.1):0.1,((Antaresia_maculosa:0.1,(Liasis_albertisii:0.1,((Antaresia_stimsoni:0.1,(Python_timoriensis:0.1,((Morelia_tracyae:0.1,(Candoia_aspera:0.1,Bothrochilus_boa:0.1):0.1):0.1,Liasis_olivaceus:0.1):0.1):0.1):0.1,(Antaresia_perthensis:0.1,Morelia_amethistina:0.1):0.1):0.1):0.1):0.1,((Antaresia_ramsayi:0.1,Antaresia_childreni:0.1):0.1,(Morelia_oenpelliensis:0.1,(Morelia_viridisN: [...]
-tree 2 = (Candoia_aspera:0.5104306,(((Python_regius:0.1373124,(Python_curtus:0.1154985,(Python_sebae:0.1021246,Python_molurus:0.03647906):0.01675914):0.03189342):0.05260508,((Python_timoriensis:0.06575276,Python_reticulatus:0.0663581):0.05792938,(((Morelia_carinata:0.06230501,(Morelia_viridisN:0.03212214,Morelia_viridisS:0.04783048):0.02139605):0.008488669,(Antaresia_maculosa:0.06443819,((Antaresia_stimsoni:0.01181279,Antaresia_childreni:0.02349062):0.04648495,Antaresia_perthensis:0.0672 [...]
-tree 3 = (Candoia_aspera:0.3740453,(((Python_regius:0.1306888,(Python_curtus:0.08131422,(Python_molurus:0.04680748,Python_sebae:0.06268339):0.01897984):0.01155706):0.06929659,((Python_reticulatus:0.04885916,Python_timoriensis:0.0770979):0.06620889,(((Liasis_albertisii:0.05905712,Bothrochilus_boa:0.06073066):0.03433056,((((Morelia_amethistina:0.01358769,(Morelia_tracyae:0.03879992,((Morelia_nauta:0.00845468,Morelia_kinghorni:0.007304627):0.005805021,Morelia_clastolepis:0.001895741):0.0074 [...]
-tree 4 = (Candoia_aspera:0.4642525,(Loxocemus_bicolor:0.2569975,(((((((Apodora_papuana:0.0543912,(Liasis_olivaceus:0.0418918,(Liasis_mackloti:0.009608325,Liasis_fuscus:0.01946075):0.05125063):0.01292208):0.01052249,(Antaresia_ramsayi:0.02809281,Antaresia_melanocephalus:0.035138):0.05567057):0.008242803,(Liasis_albertisii:0.04996856,Bothrochilus_boa:0.05982118):0.03842518):0.007145555,((((Antaresia_stimsoni:0.01634421,Antaresia_childreni:0.02856886):0.03126208,Antaresia_perthensis:0.05644 [...]
-tree 5 = (((Python_regius:0.1363268,(Python_curtus:0.1197014,(Python_molurus:0.03440908,Python_sebae:0.07136774):0.02074256):0.009979104):0.03999763,((((Antaresia_maculosa:0.06615887,(Antaresia_perthensis:0.07394163,(Antaresia_childreni:0.02614011,Antaresia_stimsoni:0.01556194):0.03950891):0.00723233):0.006972011,(Morelia_carinata:0.0509172,(Morelia_viridisN:0.03721384,Morelia_viridisS:0.03654155):0.02356716):0.00849585):0.009637364,((Morelia_boeleni:0.0796165,((Morelia_bredli:0.01773138 [...]
-tree 6 = (Candoia_aspera:0.4135338,(((Python_regius:0.1310873,((Python_sebae:0.07075347,Python_molurus:0.02905853):0.01547685,Python_curtus:0.129375):0.01749734):0.0490635,((((Bothrochilus_boa:0.06620556,Liasis_albertisii:0.03982987):0.03954384,(((Morelia_amethistina:0.03540347,((Morelia_clastolepis:0.007300453,(Morelia_nauta:0.01069645,Morelia_kinghorni:0.005075689):0.001247419):0.009339338,Morelia_tracyae:0.06682682):0.008833476):0.03592672,Morelia_oenpelliensis:0.06898142):0.006173093 [...]
-tree 7 = (((((Morelia_boeleni:0.09341667,((((Antaresia_ramsayi:0.02432962,Antaresia_melanocephalus:0.03108267):0.04383269,(Apodora_papuana:0.0682918,((Liasis_fuscus:0.02240199,Liasis_mackloti:0.008644258):0.0368359,Liasis_olivaceus:0.05575301):0.006307167):0.02635447):0.01031992,((Antaresia_maculosa:0.06379196,(Antaresia_perthensis:0.0595648,(Antaresia_childreni:0.0238847,Antaresia_stimsoni:0.01825338):0.03511199):0.01469618):0.007279461,(Morelia_carinata:0.07084697,(Morelia_viridisN:0.0 [...]
-tree 8 = (Candoia_aspera:0.4547772,(Loxocemus_bicolor:0.2395744,((((((((Apodora_papuana:0.06080321,Liasis_olivaceus:0.02978599):0.009394813,(Liasis_mackloti:0.01742433,Liasis_fuscus:0.01806577):0.0566476):0.01527548,(Antaresia_melanocephalus:0.04009299,Antaresia_ramsayi:0.03097279):0.04512079):0.005934537,(Bothrochilus_boa:0.06148062,Liasis_albertisii:0.04125302):0.03211257):0.003801559,((((Antaresia_stimsoni:0.01236615,Antaresia_childreni:0.01700049):0.04247379,Antaresia_perthensis:0.07 [...]
-tree 9 = ((((((((Antaresia_ramsayi:0.03265491,Antaresia_melanocephalus:0.04476174):0.04144292,((Liasis_fuscus:0.02188248,Liasis_mackloti:0.006821209):0.04403209,(Apodora_papuana:0.07247948,Liasis_olivaceus:0.02853124):0.01877607):0.02169384):0.00470111,((Morelia_carinata:0.07416548,(Morelia_viridisN:0.02739861,Morelia_viridisS:0.0555129):0.01684767):0.01573996,(Antaresia_maculosa:0.06232283,((Antaresia_stimsoni:0.01291429,Antaresia_childreni:0.02308267):0.02532498,Antaresia_perthensis:0. [...]
-tree 10 = (Candoia_aspera:0.3561303,(Loxocemus_bicolor:0.2416931,(((Python_reticulatus:0.07008454,Python_timoriensis:0.06291992):0.06767802,(((((Morelia_carinata:0.07114217,(Morelia_viridisN:0.03252794,Morelia_viridisS:0.04486335):0.02321627):0.005808629,(((Antaresia_childreni:0.02245576,Antaresia_stimsoni:0.01635012):0.03085948,Antaresia_perthensis:0.05037886):0.01504499,Antaresia_maculosa:0.06258223):0.003222958):0.0105925,((Antaresia_ramsayi:0.01932455,Antaresia_melanocephalus:0.03296 [...]
-tree 11 = (Candoia_aspera:0.4514987,((((Python_reticulatus:0.05002665,Python_timoriensis:0.07676918):0.07413768,((Liasis_albertisii:0.0645974,Bothrochilus_boa:0.0641873):0.03771287,((Morelia_boeleni:0.09023818,(((Morelia_carinata:0.05665086,(Morelia_viridisN:0.02441905,Morelia_viridisS:0.05618434):0.03360802):0.01153914,(Antaresia_maculosa:0.06928336,(Antaresia_perthensis:0.06768544,(Antaresia_childreni:0.0232448,Antaresia_stimsoni:0.01980798):0.0361576):0.01361446):0.007641934):0.013007 [...]
-tree 12 = (((Python_regius:0.1195811,(Python_curtus:0.101114,(Python_molurus:0.03377527,Python_sebae:0.08745063):0.01391006):0.01872767):0.0423752,((((((Liasis_olivaceus:0.04405596,Apodora_papuana:0.05899017):0.01893467,(Liasis_mackloti:0.01092328,Liasis_fuscus:0.01664283):0.0462348):0.0195773,(Antaresia_melanocephalus:0.03674829,Antaresia_ramsayi:0.02147645):0.04341939):0.005780893,((Morelia_carinata:0.07176092,(Morelia_viridisN:0.03358656,Morelia_viridisS:0.05472175):0.02865343):0.0160 [...]
-tree 13 = ((Loxocemus_bicolor:0.255402,(((Morelia_boeleni:0.07990584,((((((Antaresia_childreni:0.02146837,Antaresia_stimsoni:0.01322464):0.03931901,Antaresia_perthensis:0.06801511):0.01225223,Antaresia_maculosa:0.08151301):0.008640029,(Morelia_carinata:0.05972546,(Morelia_viridisN:0.04594044,Morelia_viridisS:0.05674085):0.0189179):0.007972871):0.01533096,((Morelia_bredli:0.02451975,Morelia_spilota:0.0358741):0.03381143,(Morelia_oenpelliensis:0.05865898,(Morelia_tracyae:0.03683725,((Morel [...]
-tree 14 = ((Candoia_aspera:0.4473626,Loxocemus_bicolor:0.2344362):0.02036165,((((Python_molurus:0.03949217,Python_sebae:0.08887615):0.0135172,Python_regius:0.1395213):0.01295109,Python_curtus:0.09972717):0.05815295,(((((Apodora_papuana:0.05956359,(Liasis_olivaceus:0.04120433,(Liasis_mackloti:0.01339387,Liasis_fuscus:0.01811019):0.05259457):0.01505299):0.02662488,(Antaresia_melanocephalus:0.03133705,Antaresia_ramsayi:0.0411973):0.05179539):0.01417946,((Antaresia_maculosa:0.05978383,(Antar [...]
-tree 15 = (((((Python_curtus:0.1133995,(Python_molurus:0.03883978,Python_sebae:0.08963129):0.02452025):0.02667311,Python_regius:0.09942004):0.04684523,((Python_timoriensis:0.05561288,Python_reticulatus:0.05469003):0.0510733,((Morelia_boeleni:0.08459562,((Morelia_oenpelliensis:0.07649581,(Morelia_tracyae:0.06857963,(Morelia_amethistina:0.03090716,((Morelia_kinghorni:0.01143323,Morelia_clastolepis:0.009882759):0.005533701,Morelia_nauta:0.005203006):0.01649407):0.006763233):0.03048232):0.00 [...]
-tree 16 = (Candoia_aspera:0.454411,((((Python_curtus:0.1047953,(Python_molurus:0.04792883,Python_sebae:0.06590967):0.01822905):0.02141573,Python_regius:0.1076625):0.04547916,((Python_timoriensis:0.0652374,Python_reticulatus:0.05757644):0.06733267,(((Bothrochilus_boa:0.06078097,Liasis_albertisii:0.05895738):0.03564124,((Morelia_spilota:0.03153276,Morelia_bredli:0.03022422):0.03004519,(Morelia_oenpelliensis:0.05195458,(Morelia_tracyae:0.04952684,(Morelia_amethistina:0.0167668,(Morelia_clas [...]
-tree 17 = ((Loxocemus_bicolor:0.2950447,Candoia_aspera:0.4956194):0.03409912,(((Python_reticulatus:0.06170708,Python_timoriensis:0.07679534):0.06662456,((((Liasis_fuscus:0.02247032,Liasis_mackloti:0.01165581):0.05333089,(Liasis_olivaceus:0.03201475,Apodora_papuana:0.07040275):0.01349114):0.01793611,(Antaresia_ramsayi:0.02707999,Antaresia_melanocephalus:0.04144063):0.07271472):0.0143494,((Morelia_boeleni:0.07941718,((Morelia_oenpelliensis:0.07000013,((Morelia_tracyae:0.04297898,(Morelia_c [...]
-tree 18 = (Candoia_aspera:0.4206473,((((((Bothrochilus_boa:0.05545258,Liasis_albertisii:0.05086388):0.02245116,(((((Morelia_tracyae:0.04497596,(Morelia_clastolepis:0.002300433,(Morelia_kinghorni:0.007580557,Morelia_nauta:0.01209723):0.007905989):0.009573244):0.003758006,Morelia_amethistina:0.02453728):0.04117076,Morelia_oenpelliensis:0.05460769):0.009776291,(Morelia_spilota:0.02406363,Morelia_bredli:0.02809877):0.02882019):0.03137162,Morelia_boeleni:0.08935267):0.00152077):0.01108653,((( [...]
-tree 19 = ((Loxocemus_bicolor:0.2758306,(((Morelia_boeleni:0.09712222,((((Apodora_papuana:0.06032311,(Liasis_olivaceus:0.03718835,(Liasis_fuscus:0.01776308,Liasis_mackloti:0.02078969):0.0453022):0.01128282):0.01605221,(Antaresia_ramsayi:0.02804757,Antaresia_melanocephalus:0.03257871):0.06131908):0.008631585,(Liasis_albertisii:0.06289567,Bothrochilus_boa:0.05847094):0.02659356):0.001774679,(((((Antaresia_childreni:0.0293294,Antaresia_stimsoni:0.01419086):0.03654786,Antaresia_perthensis:0. [...]
-tree 20 = (((Python_regius:0.09707175,(Python_curtus:0.105097,(Python_molurus:0.03923706,Python_sebae:0.06965362):0.02029509):0.02375806):0.04989682,((Python_reticulatus:0.06519806,Python_timoriensis:0.06124822):0.07887286,((((((Antaresia_stimsoni:0.01019489,Antaresia_childreni:0.02732365):0.03463165,Antaresia_perthensis:0.06931207):0.0109482,Antaresia_maculosa:0.07265653):0.007259249,((Morelia_viridisS:0.0544687,Morelia_viridisN:0.03351613):0.02469302,Morelia_carinata:0.05918813):0.0079 [...]
-tree 21 = (Candoia_aspera:0.5100953,(((((Python_sebae:0.07591037,Python_molurus:0.04685888):0.0159693,Python_curtus:0.1194869):0.03190542,Python_regius:0.1219057):0.03764082,((Python_reticulatus:0.06955304,Python_timoriensis:0.06829867):0.07106028,(((((Morelia_viridisN:0.04546841,Morelia_viridisS:0.03973028):0.03274359,Morelia_carinata:0.07279532):0.01029072,(Antaresia_maculosa:0.06514227,(Antaresia_perthensis:0.04889998,(Antaresia_childreni:0.02577757,Antaresia_stimsoni:0.01387249):0.03 [...]
-tree 22 = ((Loxocemus_bicolor:0.2604766,Candoia_aspera:0.477939):0.04974364,((Python_regius:0.1139038,(Python_curtus:0.07771172,(Python_molurus:0.0329663,Python_sebae:0.07713101):0.01611444):0.02797897):0.03766492,((Python_reticulatus:0.07004576,Python_timoriensis:0.0529521):0.07873452,(((Liasis_albertisii:0.06200187,Bothrochilus_boa:0.04445638):0.04020958,(Morelia_boeleni:0.09025494,((Antaresia_ramsayi:0.03416303,Antaresia_melanocephalus:0.04850508):0.05644415,(Apodora_papuana:0.0549481 [...]
-tree 23 = ((Loxocemus_bicolor:0.262835,Candoia_aspera:0.4233526):0.05244274,((Python_regius:0.1431143,(Python_curtus:0.1154717,(Python_molurus:0.03285879,Python_sebae:0.08925105):0.0224638):0.03287098):0.04580999,((((Morelia_spilota:0.03001221,Morelia_bredli:0.02447762):0.02814649,(((((Morelia_kinghorni:0.006512097,Morelia_nauta:0.005269942):0.004088566,Morelia_clastolepis:0.006666917):0.01101066,Morelia_tracyae:0.03173798):0.003501345,Morelia_amethistina:0.02439264):0.04355536,Morelia_o [...]
-tree 24 = (Candoia_aspera:0.4612549,(((Python_regius:0.1091584,(Python_curtus:0.09906034,(Python_molurus:0.04003386,Python_sebae:0.08731364):0.007798586):0.02269536):0.0371614,(((((((Antaresia_stimsoni:0.01576134,Antaresia_childreni:0.01874793):0.0397746,Antaresia_perthensis:0.06988391):0.0103778,Antaresia_maculosa:0.07115922):0.01047385,((Morelia_viridisN:0.03623554,Morelia_viridisS:0.05393487):0.02483759,Morelia_carinata:0.06020019):0.01557238):0.01448435,(((Morelia_spilota:0.03095601, [...]
-tree 25 = (Candoia_aspera:0.5061518,(((Python_regius:0.1146303,(Python_curtus:0.09799544,(Python_sebae:0.07231277,Python_molurus:0.03281137):0.02135392):0.02387459):0.0490128,((((((((Morelia_kinghorni:0.008090824,Morelia_nauta:0.00677865):0.004636801,Morelia_clastolepis:0.006176168):0.02159217,(Morelia_amethistina:0.02774497,Morelia_tracyae:0.06031651):0.005094471):0.0378395,Morelia_oenpelliensis:0.06740112):0.002512368,(Morelia_bredli:0.02727586,Morelia_spilota:0.02655475):0.03457449):0 [...]
-tree 26 = (Candoia_aspera:0.4117214,(((((((Morelia_spilota:0.02966092,Morelia_bredli:0.02248443):0.03277605,(((((Morelia_kinghorni:0.008210078,Morelia_nauta:0.007966455):0.004548794,Morelia_clastolepis:0.006720723):0.009598362,Morelia_amethistina:0.02268765):0.007693427,Morelia_tracyae:0.03961947):0.03682493,Morelia_oenpelliensis:0.05115676):0.008050052):0.03203021,((((Antaresia_stimsoni:0.02444624,Antaresia_childreni:0.0252333):0.0318095,Antaresia_perthensis:0.0763034):0.01333969,Antare [...]
-tree 27 = (((((Morelia_boeleni:0.08136462,(((((Liasis_mackloti:0.01469392,Liasis_fuscus:0.02004376):0.04217133,(Liasis_olivaceus:0.04287108,Apodora_papuana:0.04818141):0.01302773):0.02332967,(Antaresia_ramsayi:0.02924354,Antaresia_melanocephalus:0.03579885):0.03955978):0.01125768,(Liasis_albertisii:0.0485576,Bothrochilus_boa:0.05695902):0.02309585):0.001063857,(((Morelia_spilota:0.02560891,Morelia_bredli:0.03012455):0.02098186,((Morelia_tracyae:0.03688196,((Morelia_clastolepis:0.00313740 [...]
-tree 28 = (Candoia_aspera:0.4449872,(((((Python_molurus:0.03453011,Python_sebae:0.08373404):0.008449763,Python_curtus:0.08456065):0.03067617,Python_regius:0.1044486):0.03640394,(((((Antaresia_melanocephalus:0.03645403,Antaresia_ramsayi:0.0313611):0.05991626,((Liasis_olivaceus:0.03968883,Apodora_papuana:0.0610017):0.007050161,(Liasis_mackloti:0.006764323,Liasis_fuscus:0.02324538):0.05418435):0.01189356):0.003175782,(((Morelia_viridisN:0.03366704,Morelia_viridisS:0.04775397):0.01973658,Mor [...]
-tree 29 = ((((Python_regius:0.08981924,((Python_sebae:0.07555498,Python_molurus:0.03563937):0.02936048,Python_curtus:0.08984143):0.009248537):0.03159094,((Python_reticulatus:0.05470638,Python_timoriensis:0.0862496):0.06055097,(((Liasis_albertisii:0.04162999,Bothrochilus_boa:0.0473893):0.0379235,((Antaresia_ramsayi:0.02152948,Antaresia_melanocephalus:0.03427138):0.05178105,((Apodora_papuana:0.05024696,Liasis_olivaceus:0.04916695):0.01541814,(Liasis_fuscus:0.02006362,Liasis_mackloti:0.0109 [...]
-tree 30 = ((((Python_reticulatus:0.05656672,Python_timoriensis:0.0615847):0.06869705,(Morelia_boeleni:0.08434733,(((((Morelia_viridisN:0.02822289,Morelia_viridisS:0.04455322):0.0211784,Morelia_carinata:0.06338099):0.01717543,(Antaresia_maculosa:0.06683547,((Antaresia_childreni:0.01892756,Antaresia_stimsoni:0.01717541):0.03864759,Antaresia_perthensis:0.07570149):0.006255439):0.01023573):0.01303267,((Morelia_oenpelliensis:0.05786269,(Morelia_tracyae:0.03557059,(Morelia_amethistina:0.013780 [...]
-tree 31 = (((((Python_molurus:0.04063373,Python_sebae:0.07514814):0.01706889,Python_curtus:0.08816209):0.02794301,Python_regius:0.126422):0.04901962,((Python_timoriensis:0.07078427,Python_reticulatus:0.06491265):0.06423406,((Bothrochilus_boa:0.05380913,Liasis_albertisii:0.0547089):0.03656184,((((Morelia_spilota:0.02872934,Morelia_bredli:0.02312623):0.03137145,((Morelia_tracyae:0.03510673,((Morelia_clastolepis:0.006385572,(Morelia_nauta:0.007006281,Morelia_kinghorni:0.00643803):0.00337046 [...]
-tree 32 = ((Candoia_aspera:0.455204,Loxocemus_bicolor:0.2917998):0.04406212,(((Python_timoriensis:0.08183563,Python_reticulatus:0.04512444):0.06887124,((Morelia_boeleni:0.07321775,((Bothrochilus_boa:0.05326229,Liasis_albertisii:0.05245776):0.02197908,((Morelia_spilota:0.02674636,Morelia_bredli:0.03649268):0.0215502,(((Morelia_amethistina:0.03120252,((Morelia_kinghorni:0.005435696,Morelia_nauta:0.007088191):0.01118478,Morelia_clastolepis:0.01091913):0.01733689):0.01347604,Morelia_tracyae: [...]
-tree 33 = ((Loxocemus_bicolor:0.2844377,(((Python_curtus:0.1019715,(Python_molurus:0.0429412,Python_sebae:0.08466812):0.02263815):0.02075651,Python_regius:0.1237921):0.03677393,((((Morelia_bredli:0.03119378,Morelia_spilota:0.0233967):0.03652172,(Morelia_oenpelliensis:0.06481902,(Morelia_tracyae:0.04483205,(Morelia_amethistina:0.02436113,((Morelia_kinghorni:0.01747546,Morelia_clastolepis:0.00549594):0.01011681,Morelia_nauta:0.002591119):0.0210983):0.01280651):0.0297356):0.01493592):0.0316 [...]
-tree 34 = (Candoia_aspera:0.4195906,((((Python_timoriensis:0.04978334,Python_reticulatus:0.06443191):0.05665736,(((((Antaresia_perthensis:0.06844294,(Antaresia_stimsoni:0.01290088,Antaresia_childreni:0.02636597):0.03241306):0.01075944,Antaresia_maculosa:0.07323313):0.006654512,(Morelia_carinata:0.0807921,(Morelia_viridisN:0.03638272,Morelia_viridisS:0.04498738):0.02539871):0.00670575):0.02185193,((Antaresia_melanocephalus:0.03991443,Antaresia_ramsayi:0.03267628):0.04173048,((Apodora_papu [...]
-tree 35 = (Candoia_aspera:0.4486796,((((Python_timoriensis:0.06160357,Python_reticulatus:0.05899547):0.06210065,((((Morelia_carinata:0.07039268,(Morelia_viridisN:0.02717392,Morelia_viridisS:0.05285822):0.01629177):0.01622682,((Antaresia_perthensis:0.06306544,(Antaresia_stimsoni:0.01439114,Antaresia_childreni:0.02655157):0.0412621):0.01020385,Antaresia_maculosa:0.06175795):0.004266058):0.01947729,(((Morelia_spilota:0.02145622,Morelia_bredli:0.02229659):0.03046973,Morelia_oenpelliensis:0.0 [...]
-tree 36 = (Candoia_aspera:0.4677103,(((((Python_sebae:0.06512575,Python_molurus:0.03856891):0.02502744,Python_curtus:0.09008242):0.01898717,Python_regius:0.1106015):0.03137335,((Python_reticulatus:0.04563797,Python_timoriensis:0.09058164):0.08538711,((((Liasis_albertisii:0.06089568,Bothrochilus_boa:0.05524926):0.04386574,((Apodora_papuana:0.06280342,(Liasis_olivaceus:0.04780041,(Liasis_mackloti:0.008650393,Liasis_fuscus:0.02488376):0.04392434):0.008986177):0.02061411,(Antaresia_ramsayi:0 [...]
-tree 37 = (Candoia_aspera:0.4769489,((((Python_curtus:0.09808627,(Python_sebae:0.08711612,Python_molurus:0.03361382):0.01601466):0.0235876,Python_regius:0.1375817):0.04256167,((((Morelia_boeleni:0.07606632,((Morelia_spilota:0.03282064,Morelia_bredli:0.02378048):0.02364717,((Morelia_tracyae:0.02877539,((Morelia_nauta:0.00251251,(Morelia_kinghorni:0.008524486,Morelia_clastolepis:0.004699519):0.006302931):0.01200433,Morelia_amethistina:0.02906535):0.004316516):0.02884597,Morelia_oenpelliens [...]
-tree 38 = (Candoia_aspera:0.3773662,(Loxocemus_bicolor:0.2249788,((((Python_sebae:0.06651892,Python_molurus:0.03498734):0.02464912,Python_curtus:0.07673166):0.01052472,Python_regius:0.1129523):0.04464117,((Python_reticulatus:0.05448691,Python_timoriensis:0.06477214):0.07192476,((((Antaresia_ramsayi:0.03292673,Antaresia_melanocephalus:0.04036128):0.04562737,(Apodora_papuana:0.06416247,((Liasis_mackloti:0.01160595,Liasis_fuscus:0.02231178):0.04907739,Liasis_olivaceus:0.03522126):0.00946260 [...]
-tree 39 = (((((Python_timoriensis:0.08188618,Python_reticulatus:0.06378417):0.08001537,(((((Morelia_spilota:0.02781278,Morelia_bredli:0.03197371):0.03154039,((Morelia_tracyae:0.02607517,((Morelia_clastolepis:0.002039059,(Morelia_nauta:0.008565151,Morelia_kinghorni:0.011925):0.001514738):0.02744645,Morelia_amethistina:0.01836739):0.02055508):0.03028903,Morelia_oenpelliensis:0.04405405):0.008923189):0.0305229,(Bothrochilus_boa:0.06679369,Liasis_albertisii:0.06716246):0.02623561):0.00413182 [...]
-tree 40 = (Candoia_aspera:0.4208013,(Loxocemus_bicolor:0.2355042,(((Python_curtus:0.1002398,(Python_molurus:0.04971005,Python_sebae:0.07534479):0.01490631):0.02483788,Python_regius:0.13122):0.04845283,(((((((Antaresia_childreni:0.02476396,Antaresia_stimsoni:0.01173612):0.03504246,Antaresia_perthensis:0.06446316):0.007543391,Antaresia_maculosa:0.05640942):0.007865894,(Morelia_carinata:0.04620256,(Morelia_viridisN:0.03105739,Morelia_viridisS:0.06619639):0.02895136):0.01983984):0.01412999,( [...]
-tree 41 = ((((Python_timoriensis:0.06996509,Python_reticulatus:0.06574926):0.06676801,((((((Antaresia_stimsoni:0.02009407,Antaresia_childreni:0.02232226):0.04431973,Antaresia_perthensis:0.06572423):0.01161341,Antaresia_maculosa:0.07414321):0.006251875,(Morelia_carinata:0.05239441,(Morelia_viridisN:0.03753331,Morelia_viridisS:0.06370906):0.02254906):0.01009813):0.02270443,((Bothrochilus_boa:0.0655155,Liasis_albertisii:0.04513337):0.0402801,((Antaresia_melanocephalus:0.0488194,Antaresia_ra [...]
-tree 42 = ((Loxocemus_bicolor:0.2558653,(((Python_reticulatus:0.06041035,Python_timoriensis:0.0495409):0.05712625,(((((Morelia_oenpelliensis:0.06264648,(Morelia_tracyae:0.03295818,((Morelia_nauta:0.004162228,(Morelia_kinghorni:0.007212826,Morelia_clastolepis:0.005783804):0.004869042):0.007822257,Morelia_amethistina:0.02845611):0.008115491):0.02341889):0.004693379,(Morelia_bredli:0.0245021,Morelia_spilota:0.03264814):0.03222283):0.03051242,Morelia_boeleni:0.08301486):0.002222387,(((Antare [...]
-tree 43 = (Candoia_aspera:0.4912831,(Loxocemus_bicolor:0.3305818,(((Python_timoriensis:0.08964648,Python_reticulatus:0.05531334):0.06829904,((((Antaresia_ramsayi:0.02711878,Antaresia_melanocephalus:0.04111096):0.04432045,((Liasis_olivaceus:0.03420107,Apodora_papuana:0.06162698):0.01501303,(Liasis_fuscus:0.01828714,Liasis_mackloti:0.01248727):0.04523117):0.02292171):0.01276623,(Liasis_albertisii:0.06893302,Bothrochilus_boa:0.06296997):0.0452054):0.006619568,((((Antaresia_perthensis:0.0694 [...]
-tree 44 = ((Candoia_aspera:0.4282801,Loxocemus_bicolor:0.2557565):0.07118735,((((((Morelia_spilota:0.028086,Morelia_bredli:0.03424453):0.04515606,(Morelia_oenpelliensis:0.04825777,(Morelia_tracyae:0.04446028,(Morelia_amethistina:0.02748901,((Morelia_kinghorni:0.007643079,Morelia_clastolepis:0.008964228):0.003093159,Morelia_nauta:0.009113297):0.0223688):0.01055831):0.02851381):0.01327409):0.02105642,Morelia_boeleni:0.1081844):0.0002377406,(((Antaresia_maculosa:0.06232342,((Antaresia_stims [...]
-tree 45 = ((Loxocemus_bicolor:0.2120497,Candoia_aspera:0.4029712):0.01332453,(((Python_reticulatus:0.05061441,Python_timoriensis:0.06134717):0.05990154,(((((Morelia_spilota:0.02971883,Morelia_bredli:0.02865454):0.02874998,(((Morelia_amethistina:0.02414642,((Morelia_kinghorni:0.005704897,Morelia_nauta:0.002618733):0.008513417,Morelia_clastolepis:0.008472477):0.01483608):0.01170621,Morelia_tracyae:0.03162107):0.02879083,Morelia_oenpelliensis:0.05522263):0.001620195):0.01422465,Morelia_boel [...]
-tree 46 = (((((((((Morelia_spilota:0.02655895,Morelia_bredli:0.03511595):0.03519584,(((Morelia_nauta:0.001228679,(Morelia_clastolepis:0.007831828,Morelia_kinghorni:0.004732577):0.009794926):0.0277251,(Morelia_tracyae:0.05416658,Morelia_amethistina:0.02597948):0.00171186):0.04197238,Morelia_oenpelliensis:0.06708394):0.004278351):0.02486795,Morelia_boeleni:0.09303988):0.006333662,(((Apodora_papuana:0.06684645,((Liasis_mackloti:0.01200195,Liasis_fuscus:0.02916414):0.03911876,Liasis_olivaceu [...]
-tree 47 = ((Loxocemus_bicolor:0.2318016,Candoia_aspera:0.4164175):0.03116619,(((Python_timoriensis:0.08144411,Python_reticulatus:0.04430293):0.05610403,((((((Morelia_viridisN:0.03542506,Morelia_viridisS:0.0572556):0.01990815,Morelia_carinata:0.06651258):0.01302045,((Antaresia_perthensis:0.06573364,(Antaresia_stimsoni:0.01771713,Antaresia_childreni:0.0257728):0.04164447):0.02274534,Antaresia_maculosa:0.05726758):0.007223601):0.01653506,((Morelia_bredli:0.03162414,Morelia_spilota:0.0244059 [...]
-tree 48 = ((Loxocemus_bicolor:0.2613632,Candoia_aspera:0.4005454):0.03571461,(((Python_timoriensis:0.06195748,Python_reticulatus:0.0623511):0.05797901,((((Morelia_bredli:0.02536408,Morelia_spilota:0.02897979):0.02486894,(Morelia_oenpelliensis:0.05232564,(Morelia_tracyae:0.0343304,(Morelia_amethistina:0.02615847,((Morelia_kinghorni:0.01046447,Morelia_nauta:0.005524241):0.004390938,Morelia_clastolepis:0.001738627):0.01218575):0.005278279):0.03427753):0.002326722):0.01558027,Morelia_boeleni [...]
-tree 49 = (Candoia_aspera:0.4611198,(((((Python_molurus:0.03619845,Python_sebae:0.0821524):0.01438549,Python_curtus:0.1332483):0.02854173,Python_regius:0.1243103):0.02839463,((Python_reticulatus:0.06396125,Python_timoriensis:0.07307362):0.07136561,(((((Morelia_oenpelliensis:0.06325029,(Morelia_tracyae:0.06238511,((Morelia_nauta:0.004572369,(Morelia_kinghorni:0.005569767,Morelia_clastolepis:0.005787334):0.006707192):0.0199103,Morelia_amethistina:0.02755908):0.004445603):0.04539337):0.0024 [...]
-tree 50 = ((Loxocemus_bicolor:0.2767771,((Python_regius:0.1271252,(Python_curtus:0.09296392,(Python_sebae:0.09383303,Python_molurus:0.03726204):0.01252763):0.01701399):0.03783387,((((((Liasis_fuscus:0.01831367,Liasis_mackloti:0.01081487):0.04196987,(Liasis_olivaceus:0.03974469,Apodora_papuana:0.05023767):0.005300062):0.01275833,(Antaresia_ramsayi:0.02844938,Antaresia_melanocephalus:0.03307184):0.046393):0.004489448,(Liasis_albertisii:0.05207137,Bothrochilus_boa:0.05848669):0.03651395):0. [...]
-tree 51 = ((Loxocemus_bicolor:0.1953644,Candoia_aspera:0.4090651):0.07135976,((Python_regius:0.08788631,(Python_curtus:0.09299281,(Python_sebae:0.08835472,Python_molurus:0.04266492):0.01617591):0.02337683):0.03766133,(((((((Morelia_tracyae:0.02987496,((Morelia_nauta:0.005035972,(Morelia_clastolepis:0.009349248,Morelia_kinghorni:0.011742):0.006892148):0.007373184,Morelia_amethistina:0.02331562):0.01523232):0.03311424,Morelia_oenpelliensis:0.06063279):0.01006941,(Morelia_bredli:0.03232284, [...]
-tree 52 = (Candoia_aspera:0.4675925,(Loxocemus_bicolor:0.3794991,((((((((Liasis_fuscus:0.01909646,Liasis_mackloti:0.0121694):0.04627307,Liasis_olivaceus:0.03963934):0.01307675,Apodora_papuana:0.06285513):0.009469208,(Antaresia_ramsayi:0.03031447,Antaresia_melanocephalus:0.04619856):0.05525247):0.01141626,((Morelia_boeleni:0.07503417,((Morelia_bredli:0.02530584,Morelia_spilota:0.02564753):0.0288385,(((Morelia_amethistina:0.03204628,((Morelia_kinghorni:0.008460891,Morelia_nauta:0.0062635): [...]
-tree 53 = ((Loxocemus_bicolor:0.2333575,(((((Antaresia_maculosa:0.06466482,(Antaresia_perthensis:0.06424014,(Antaresia_stimsoni:0.02296361,Antaresia_childreni:0.01801302):0.03375228):0.01303995):0.007496688,(Morelia_carinata:0.06781954,(Morelia_viridisN:0.03859534,Morelia_viridisS:0.05089484):0.02204771):0.01143718):0.02112735,(((Apodora_papuana:0.06130652,(Liasis_olivaceus:0.0411087,(Liasis_fuscus:0.01402491,Liasis_mackloti:0.01771778):0.05455264):0.006364489):0.02208133,(Antaresia_rams [...]
-tree 54 = ((Loxocemus_bicolor:0.3201657,(((Python_timoriensis:0.0581893,Python_reticulatus:0.05907456):0.06282391,(((Bothrochilus_boa:0.06679214,Liasis_albertisii:0.06431971):0.03525423,((Morelia_spilota:0.02382529,Morelia_bredli:0.03023749):0.04178667,((((Morelia_clastolepis:0.005759701,(Morelia_nauta:0.009415851,Morelia_kinghorni:0.005412919):0.01556562):0.01821965,Morelia_tracyae:0.05033836):0.013102,Morelia_amethistina:0.01994143):0.03911183,Morelia_oenpelliensis:0.06652114):0.004536 [...]
-tree 55 = (Candoia_aspera:0.4363239,(Loxocemus_bicolor:0.274237,(((Python_reticulatus:0.04577835,Python_timoriensis:0.1033163):0.06046119,((((Antaresia_maculosa:0.07537991,(Antaresia_perthensis:0.06182352,(Antaresia_childreni:0.02228823,Antaresia_stimsoni:0.02032132):0.04573505):0.009092116):0.008593031,((Morelia_viridisN:0.02746149,Morelia_viridisS:0.05577087):0.02431754,Morelia_carinata:0.05783515):0.01411612):0.01847424,(Morelia_boeleni:0.08157485,((Apodora_papuana:0.06043711,((Liasis [...]
-tree 56 = ((Loxocemus_bicolor:0.2326946,(((Python_reticulatus:0.04186498,Python_timoriensis:0.08553525):0.0631943,((((Morelia_oenpelliensis:0.06840764,((Morelia_amethistina:0.02496099,(((Morelia_kinghorni:0.008738223,Morelia_clastolepis:0.006100998):0.009642316,Morelia_nauta:0.005706378):0.02156259,Morelia_tracyae:0.05879199):0.002015818):0.03385588,(Morelia_bredli:0.02514599,Morelia_spilota:0.02152035):0.04255435):0.003652759):0.0287093,Morelia_boeleni:0.08673253):0.004519537,(((Antares [...]
-tree 57 = ((((((((Antaresia_maculosa:0.06753452,((Antaresia_stimsoni:0.0174042,Antaresia_childreni:0.02406376):0.03572501,Antaresia_perthensis:0.0853869):0.009132408):0.007193958,((Morelia_viridisS:0.04378142,Morelia_viridisN:0.0372949):0.02842223,Morelia_carinata:0.06825358):0.01252652):0.02117735,((((Morelia_amethistina:0.02015902,Morelia_tracyae:0.05018288):0.006975072,(Morelia_clastolepis:0.008999008,(Morelia_nauta:0.01056224,Morelia_kinghorni:0.006781781):0.004545883):0.0169317):0.0 [...]
-tree 58 = (Candoia_aspera:0.4610956,(((Python_regius:0.1232013,(Python_curtus:0.1051752,(Python_sebae:0.07803735,Python_molurus:0.04395386):0.02047164):0.02053317):0.02733087,((Python_timoriensis:0.0786524,Python_reticulatus:0.05985872):0.05331236,((Morelia_boeleni:0.08349698,(((Bothrochilus_boa:0.0507127,Liasis_albertisii:0.05617265):0.03450997,((Antaresia_melanocephalus:0.03825353,Antaresia_ramsayi:0.02731536):0.05230166,(Apodora_papuana:0.05528345,((Liasis_mackloti:0.01561896,Liasis_f [...]
-tree 59 = ((Loxocemus_bicolor:0.2573866,(((Python_curtus:0.09793072,(Python_sebae:0.08371425,Python_molurus:0.04299976):0.01409514):0.02153569,Python_regius:0.09829285):0.05479509,((Python_timoriensis:0.07710499,Python_reticulatus:0.05454431):0.07863418,(((Morelia_boeleni:0.08457115,((Morelia_spilota:0.03016478,Morelia_bredli:0.02802035):0.03625794,(Morelia_oenpelliensis:0.05700879,((((Morelia_nauta:0.01178942,Morelia_kinghorni:0.008054588):0.002399088,Morelia_clastolepis:0.001528491):0. [...]
-tree 60 = (((((Python_timoriensis:0.07926416,Python_reticulatus:0.07137747):0.07251304,((((Morelia_carinata:0.06855047,(Morelia_viridisN:0.04314394,Morelia_viridisS:0.04266962):0.01684549):0.01320995,(Antaresia_maculosa:0.09354209,((Antaresia_stimsoni:0.01078989,Antaresia_childreni:0.02589992):0.04603335,Antaresia_perthensis:0.05790963):0.006737519):0.009808671):0.02509982,(((Antaresia_melanocephalus:0.04321766,Antaresia_ramsayi:0.03739094):0.05413265,(Bothrochilus_boa:0.06058307,Liasis_ [...]
-tree 61 = (Candoia_aspera:0.4378292,(Loxocemus_bicolor:0.2662484,(((Python_timoriensis:0.06384791,Python_reticulatus:0.07183585):0.07502361,((((Morelia_carinata:0.06462666,(Morelia_viridisN:0.03903769,Morelia_viridisS:0.0577421):0.02035461):0.01936315,(Antaresia_maculosa:0.05436798,((Antaresia_stimsoni:0.01573073,Antaresia_childreni:0.0211433):0.03806001,Antaresia_perthensis:0.0699794):0.004109115):0.005422296):0.01634019,((Antaresia_melanocephalus:0.03891313,Antaresia_ramsayi:0.02936461 [...]
-tree 62 = ((((((((((Antaresia_childreni:0.01558902,Antaresia_stimsoni:0.01595246):0.04430847,Antaresia_perthensis:0.07562575):0.007701339,Antaresia_maculosa:0.08918545):0.00634405,((Morelia_viridisN:0.03328426,Morelia_viridisS:0.05089523):0.01773241,Morelia_carinata:0.06823346):0.009729754):0.0283175,((Liasis_albertisii:0.03628829,Bothrochilus_boa:0.06273807):0.05446115,((Antaresia_ramsayi:0.02195563,Antaresia_melanocephalus:0.04103237):0.04937809,(Apodora_papuana:0.06748454,((Liasis_fus [...]
-tree 63 = (Candoia_aspera:0.3903282,(Loxocemus_bicolor:0.248947,(((Python_timoriensis:0.05996622,Python_reticulatus:0.04079137):0.05661379,((Bothrochilus_boa:0.06544201,Liasis_albertisii:0.05598568):0.03264463,((((Antaresia_melanocephalus:0.04274463,Antaresia_ramsayi:0.0229638):0.05227536,(Apodora_papuana:0.05124347,(Liasis_olivaceus:0.032322,(Liasis_mackloti:0.01322112,Liasis_fuscus:0.02499189):0.04084609):0.01081107):0.01437584):0.006629841,(((Morelia_viridisN:0.04032599,Morelia_viridi [...]
-tree 64 = ((((Python_regius:0.1027857,(Python_curtus:0.09600793,(Python_molurus:0.0279114,Python_sebae:0.06603829):0.02608479):0.02383835):0.05037635,((((Apodora_papuana:0.07130196,((Liasis_mackloti:0.01891925,Liasis_fuscus:0.01624055):0.04795536,Liasis_olivaceus:0.04357267):0.0212919):0.01519329,((Liasis_albertisii:0.05178711,Bothrochilus_boa:0.06173864):0.02414452,(Antaresia_ramsayi:0.04078327,Antaresia_melanocephalus:0.03471582):0.04901001):0.002867909):0.003315471,(Morelia_boeleni:0. [...]
-tree 65 = (Candoia_aspera:0.4484958,(Loxocemus_bicolor:0.2674019,((((Python_molurus:0.03746116,Python_sebae:0.07876257):0.02255983,Python_curtus:0.09736194):0.009465829,Python_regius:0.1122148):0.04183403,((Python_reticulatus:0.05254427,Python_timoriensis:0.06316221):0.04804532,((((Morelia_oenpelliensis:0.06223055,(Morelia_tracyae:0.03993813,(Morelia_amethistina:0.02235027,((Morelia_clastolepis:0.006880411,Morelia_kinghorni:0.005690263):0.0017908,Morelia_nauta:0.005001931):0.0110807):0.0 [...]
-tree 66 = (Candoia_aspera:0.4387456,(Loxocemus_bicolor:0.3701941,((((Python_molurus:0.02845826,Python_sebae:0.08506522):0.01248504,Python_curtus:0.1079607):0.02967151,Python_regius:0.09794066):0.04692648,((((((Morelia_oenpelliensis:0.07125908,((((Morelia_kinghorni:0.01128121,Morelia_nauta:0.009803465):0.006153012,Morelia_clastolepis:0.008016785):0.004922659,Morelia_amethistina:0.02570226):0.01632472,Morelia_tracyae:0.03681089):0.02162234):0.004091767,(Morelia_spilota:0.0288998,Morelia_br [...]
-tree 67 = ((Candoia_aspera:0.4404567,Loxocemus_bicolor:0.2623151):0.03678611,((Python_regius:0.1300392,(Python_curtus:0.0849365,(Python_sebae:0.06865021,Python_molurus:0.04067085):0.01983921):0.02301141):0.0359684,((Python_reticulatus:0.05548591,Python_timoriensis:0.07583138):0.06659153,(((Morelia_carinata:0.05407921,(Morelia_viridisN:0.03238534,Morelia_viridisS:0.03823864):0.01875875):0.01477069,(((Antaresia_childreni:0.01916999,Antaresia_stimsoni:0.02019813):0.0427897,Antaresia_perthen [...]
-tree 68 = ((Loxocemus_bicolor:0.275201,(((Python_timoriensis:0.07933547,Python_reticulatus:0.05530097):0.08859932,((Morelia_boeleni:0.0768628,((Morelia_bredli:0.02613436,Morelia_spilota:0.02952909):0.03868299,(Morelia_oenpelliensis:0.05920573,(Morelia_amethistina:0.0122179,((Morelia_nauta:0.005477438,(Morelia_clastolepis:0.01002306,Morelia_kinghorni:0.002926079):0.005503214):0.02905945,Morelia_tracyae:0.02562446):0.01299805):0.05995565):0.002851122):0.02890678):0.01651045,(((((Antaresia_ [...]
-tree 69 = (Candoia_aspera:0.5069986,((((((((Antaresia_maculosa:0.08576571,((Antaresia_childreni:0.03038096,Antaresia_stimsoni:0.01692226):0.04191162,Antaresia_perthensis:0.06766591):0.01159188):0.00361208,((Morelia_viridisN:0.03718157,Morelia_viridisS:0.05590611):0.01486255,Morelia_carinata:0.08684218):0.01085831):0.01500122,(((Antaresia_ramsayi:0.02557342,Antaresia_melanocephalus:0.04322508):0.05597149,(Apodora_papuana:0.06308859,(Liasis_olivaceus:0.03261355,(Liasis_fuscus:0.0270116,Lia [...]
-tree 70 = (Candoia_aspera:0.4122645,(((Python_regius:0.110234,((Python_molurus:0.03231937,Python_sebae:0.07999153):0.006036296,Python_curtus:0.09954285):0.02136783):0.03842027,(((((Liasis_albertisii:0.04708427,Bothrochilus_boa:0.0570808):0.04067184,((Antaresia_ramsayi:0.02902459,Antaresia_melanocephalus:0.03726802):0.04574105,(Apodora_papuana:0.07554033,(Liasis_olivaceus:0.03919017,(Liasis_mackloti:0.01169475,Liasis_fuscus:0.01905053):0.03694819):0.01354151):0.01916572):0.001572765):0.00 [...]
-tree 71 = (Candoia_aspera:0.4589375,(Loxocemus_bicolor:0.2861174,(((((Antaresia_maculosa:0.07010981,((Antaresia_childreni:0.01826358,Antaresia_stimsoni:0.02200477):0.03110523,Antaresia_perthensis:0.06846857):0.01000272):0.004299263,((Morelia_viridisN:0.03728736,Morelia_viridisS:0.03357402):0.02663172,Morelia_carinata:0.06458395):0.009897064):0.01429599,((Morelia_boeleni:0.07654923,(((Morelia_amethistina:0.02884541,(Morelia_tracyae:0.05910984,((Morelia_clastolepis:0.007296296,Morelia_king [...]
-tree 72 = (Candoia_aspera:0.4576079,(((((((((Morelia_amethistina:0.01521725,(Morelia_tracyae:0.05461905,(Morelia_clastolepis:0.003219944,(Morelia_nauta:0.006485679,Morelia_kinghorni:0.007425166):0.001335271):0.03162993):0.009930456):0.04123097,Morelia_oenpelliensis:0.07386276):0.008972008,(Morelia_spilota:0.023071,Morelia_bredli:0.03727896):0.03126727):0.03469699,((Antaresia_maculosa:0.06361313,(Antaresia_perthensis:0.07265412,(Antaresia_stimsoni:0.0111831,Antaresia_childreni:0.02761491) [...]
-tree 73 = ((Loxocemus_bicolor:0.3119393,((((Python_molurus:0.04448889,Python_sebae:0.06188512):0.0142073,Python_curtus:0.1025871):0.03482844,Python_regius:0.1297599):0.02807402,((Python_reticulatus:0.0707405,Python_timoriensis:0.08769258):0.0480519,((((((Morelia_clastolepis:0.01089226,(Morelia_kinghorni:0.01052386,Morelia_nauta:0.009789005):0.002879246):0.0157598,(Morelia_tracyae:0.02688318,Morelia_amethistina:0.02338759):0.008894687):0.02362956,Morelia_oenpelliensis:0.0695819):0.0063823 [...]
-tree 74 = ((Loxocemus_bicolor:0.2083269,Candoia_aspera:0.5152461):0.04062122,((((((Morelia_bredli:0.02280977,Morelia_spilota:0.02376029):0.03352429,(Morelia_oenpelliensis:0.05724071,((Morelia_tracyae:0.03030344,(Morelia_clastolepis:0.003406181,(Morelia_kinghorni:0.003670556,Morelia_nauta:0.01034161):0.0009901308):0.02356278):0.002815858,Morelia_amethistina:0.0307196):0.04274883):0.00406888):0.01093207,Morelia_boeleni:0.06876127):0.008428241,((Liasis_albertisii:0.03787623,Bothrochilus_boa [...]
-tree 75 = ((Loxocemus_bicolor:0.3300245,((((((Morelia_spilota:0.01654569,Morelia_bredli:0.03397926):0.03641578,(Morelia_oenpelliensis:0.0720801,(Morelia_tracyae:0.05217545,(((Morelia_clastolepis:0.005005123,Morelia_kinghorni:0.01336545):0.002474397,Morelia_nauta:0.005135748):0.008917268,Morelia_amethistina:0.02211238):0.0103868):0.03809202):0.005851688):0.01685244,(((Morelia_viridisN:0.03925044,Morelia_viridisS:0.03750531):0.01639746,Morelia_carinata:0.07054688):0.008838584,(((Antaresia_ [...]
-tree 76 = (((((((((Antaresia_melanocephalus:0.02772176,Antaresia_ramsayi:0.04226773):0.0504747,(Apodora_papuana:0.07093863,((Liasis_mackloti:0.01709142,Liasis_fuscus:0.02330178):0.04618391,Liasis_olivaceus:0.0352755):0.01342014):0.02167455):0.0100165,(Bothrochilus_boa:0.07219773,Liasis_albertisii:0.04785805):0.04234023):0.004860061,((((Morelia_tracyae:0.04624559,(Morelia_amethistina:0.02472913,((Morelia_kinghorni:0.01642213,Morelia_clastolepis:0.009078821):0.003514855,Morelia_nauta:0.001 [...]
-tree 77 = ((Candoia_aspera:0.3502765,Loxocemus_bicolor:0.2724483):0.02964649,((((Python_molurus:0.04580597,Python_sebae:0.0612617):0.01270166,Python_curtus:0.07769046):0.02310792,Python_regius:0.09778553):0.0505763,((Python_reticulatus:0.0510522,Python_timoriensis:0.07707769):0.05952654,((((((Apodora_papuana:0.04280117,Liasis_olivaceus:0.03264188):0.01300365,(Liasis_mackloti:0.008264549,Liasis_fuscus:0.01835877):0.04882774):0.01341318,(Antaresia_ramsayi:0.03582116,Antaresia_melanocephalu [...]
-tree 78 = (Candoia_aspera:0.4818862,(((Python_regius:0.1173105,(Python_curtus:0.09787109,(Python_molurus:0.03613981,Python_sebae:0.08034014):0.02579503):0.01255788):0.03521315,((Python_timoriensis:0.06462919,Python_reticulatus:0.04927181):0.0781527,(((((Morelia_bredli:0.03127313,Morelia_spilota:0.03540732):0.03493716,(Morelia_oenpelliensis:0.05428268,((Morelia_tracyae:0.03980916,(Morelia_nauta:0.002858831,(Morelia_kinghorni:0.01143028,Morelia_clastolepis:0.01019444):0.009460836):0.020065 [...]
-tree 79 = ((((Python_timoriensis:0.07252546,Python_reticulatus:0.06270089):0.06874345,((((Apodora_papuana:0.08250042,(Liasis_olivaceus:0.04256184,(Liasis_mackloti:0.01543068,Liasis_fuscus:0.01570251):0.05041162):0.01150162):0.01891647,((Antaresia_melanocephalus:0.03158756,Antaresia_ramsayi:0.03251311):0.05107385,(Bothrochilus_boa:0.06030661,Liasis_albertisii:0.04458544):0.03289097):0.003724523):0.007746936,(Morelia_boeleni:0.07578827,((Morelia_spilota:0.02666204,Morelia_bredli:0.02909298 [...]
-tree 80 = (((((Python_timoriensis:0.07942641,Python_reticulatus:0.05318356):0.0542813,((((((Liasis_mackloti:0.01510409,Liasis_fuscus:0.01776043):0.05075845,(Liasis_olivaceus:0.03951128,Apodora_papuana:0.07083407):0.01755491):0.01728235,(Antaresia_melanocephalus:0.03002391,Antaresia_ramsayi:0.02149549):0.04485914):0.01052883,(Bothrochilus_boa:0.05519856,Liasis_albertisii:0.04763622):0.02797339):0.004472592,Morelia_boeleni:0.08374513):0.005074553,((((Antaresia_perthensis:0.07022127,(Antare [...]
-tree 81 = (Candoia_aspera:0.4667571,(Loxocemus_bicolor:0.3367887,((Python_regius:0.1180484,((Python_molurus:0.03959197,Python_sebae:0.1142895):0.01503196,Python_curtus:0.09833922):0.03611823):0.04569427,(((Morelia_boeleni:0.09325398,(((Antaresia_ramsayi:0.02456999,Antaresia_melanocephalus:0.03700992):0.05498125,(Liasis_albertisii:0.06510315,Bothrochilus_boa:0.06030748):0.02629961):0.007964493,((Liasis_olivaceus:0.03164813,(Liasis_mackloti:0.007046992,Liasis_fuscus:0.01983901):0.05932195) [...]
-tree 82 = ((((((Python_sebae:0.0645436,Python_molurus:0.03466129):0.01099752,Python_curtus:0.1213218):0.01569256,Python_regius:0.1288854):0.02512009,((((Liasis_albertisii:0.04768349,Bothrochilus_boa:0.06732252):0.02577025,((Apodora_papuana:0.0573615,(Liasis_olivaceus:0.03143039,(Liasis_fuscus:0.01956832,Liasis_mackloti:0.01151569):0.04049188):0.01153908):0.02375811,(Antaresia_ramsayi:0.02867471,Antaresia_melanocephalus:0.03825474):0.0532607):0.007452147):0.005339881,((Morelia_boeleni:0.0 [...]
-tree 83 = (((((Python_timoriensis:0.06385903,Python_reticulatus:0.05887241):0.06039356,(((((Antaresia_ramsayi:0.03291234,Antaresia_melanocephalus:0.04406639):0.0551582,(Apodora_papuana:0.06219194,(Liasis_olivaceus:0.04618287,(Liasis_fuscus:0.01928215,Liasis_mackloti:0.01361912):0.04523828):0.01769705):0.01373734):0.005296261,(Liasis_albertisii:0.04618613,Bothrochilus_boa:0.07393764):0.02720086):0.007912564,((Morelia_carinata:0.07341501,(Morelia_viridisN:0.03939504,Morelia_viridisS:0.0484 [...]
-tree 84 = ((Candoia_aspera:0.4302856,Loxocemus_bicolor:0.2106506):0.03081074,(((Python_reticulatus:0.039706,Python_timoriensis:0.06318284):0.06737832,((((Antaresia_ramsayi:0.02993718,Antaresia_melanocephalus:0.0516321):0.03462159,((Liasis_fuscus:0.01909033,Liasis_mackloti:0.01920083):0.03884619,(Apodora_papuana:0.07970396,Liasis_olivaceus:0.0318336):0.0159565):0.02141131):0.01086279,(((Antaresia_perthensis:0.05877012,(Antaresia_childreni:0.02373958,Antaresia_stimsoni:0.01345116):0.031549 [...]
-tree 85 = ((Loxocemus_bicolor:0.2534505,(((((Morelia_carinata:0.07389122,(Morelia_viridisN:0.03609381,Morelia_viridisS:0.05675261):0.01821106):0.01076806,(((Antaresia_stimsoni:0.01256993,Antaresia_childreni:0.02450923):0.02974669,Antaresia_perthensis:0.05764076):0.02295225,Antaresia_maculosa:0.07677902):0.008637588):0.01786285,((Morelia_boeleni:0.07562694,(((Bothrochilus_boa:0.06376279,Liasis_albertisii:0.04877791):0.03468829,(Antaresia_melanocephalus:0.04365131,Antaresia_ramsayi:0.02560 [...]
-tree 86 = (Candoia_aspera:0.4432525,(((Python_regius:0.1388916,((Python_sebae:0.08554284,Python_molurus:0.05720035):0.009684637,Python_curtus:0.08433645):0.01174155):0.02783744,((((((Morelia_bredli:0.02386123,Morelia_spilota:0.02840604):0.03818062,(Morelia_oenpelliensis:0.05193934,(Morelia_amethistina:0.01753699,(((Morelia_nauta:0.006926759,Morelia_kinghorni:0.005577224):0.001173386,Morelia_clastolepis:0.004074834):0.02082514,Morelia_tracyae:0.05079507):0.004276661):0.04497917):0.0089538 [...]
-tree 87 = ((((((Python_molurus:0.03328051,Python_sebae:0.08260708):0.02277176,Python_curtus:0.09369442):0.01362622,Python_regius:0.1144538):0.04157068,((Python_reticulatus:0.0659659,Python_timoriensis:0.05748917):0.05766686,((((Morelia_spilota:0.02944967,Morelia_bredli:0.02243377):0.03036736,(Morelia_oenpelliensis:0.05862991,((Morelia_amethistina:0.02044603,(Morelia_clastolepis:0.00667788,(Morelia_kinghorni:0.002341999,Morelia_nauta:0.004724123):0.001102001):0.01914452):0.006570517,Morel [...]
-tree 88 = ((Candoia_aspera:0.4541513,Loxocemus_bicolor:0.2958392):0.07081872,(((Python_timoriensis:0.05908032,Python_reticulatus:0.06230935):0.05923604,(((Morelia_carinata:0.059557,(Morelia_viridisN:0.0430535,Morelia_viridisS:0.04451561):0.02637773):0.01378714,(Antaresia_maculosa:0.06826855,((Antaresia_stimsoni:0.01615772,Antaresia_childreni:0.02120395):0.03420147,Antaresia_perthensis:0.06973437):0.02609569):0.003154777):0.02419757,((Morelia_boeleni:0.0936062,((Morelia_oenpelliensis:0.05 [...]
-tree 89 = ((Loxocemus_bicolor:0.2715632,((Python_regius:0.105666,(Python_curtus:0.08820886,(Python_molurus:0.0289014,Python_sebae:0.08313008):0.01341111):0.02700934):0.0537633,((Python_timoriensis:0.06336319,Python_reticulatus:0.06893482):0.0668129,(((Morelia_carinata:0.05800344,(Morelia_viridisN:0.03450113,Morelia_viridisS:0.04273127):0.02064897):0.01309781,(Antaresia_maculosa:0.07388802,(Antaresia_perthensis:0.06515081,(Antaresia_stimsoni:0.01508704,Antaresia_childreni:0.02555118):0.02 [...]
-tree 90 = (Candoia_aspera:0.4139069,(((Python_regius:0.1113714,(Python_curtus:0.1046913,(Python_molurus:0.03657293,Python_sebae:0.06993362):0.02487479):0.0164626):0.04311928,((Python_reticulatus:0.06430189,Python_timoriensis:0.06051875):0.0693176,((Morelia_boeleni:0.08663333,((Morelia_spilota:0.03083786,Morelia_bredli:0.0240764):0.03537649,(Morelia_oenpelliensis:0.06986482,((((Morelia_nauta:0.01074089,Morelia_kinghorni:0.006973603):0.003692685,Morelia_clastolepis:0.002062225):0.01547749, [...]
-tree 91 = ((Loxocemus_bicolor:0.3083324,((((Morelia_boeleni:0.09668887,((Liasis_albertisii:0.05250439,Bothrochilus_boa:0.06016687):0.03512285,((Morelia_oenpelliensis:0.05748413,(Morelia_tracyae:0.0477756,((Morelia_nauta:0.007311925,(Morelia_kinghorni:0.005988491,Morelia_clastolepis:0.003411513):0.004753291):0.02241144,Morelia_amethistina:0.02106282):0.006562451):0.03868782):0.01022867,(Morelia_spilota:0.02908629,Morelia_bredli:0.02807888):0.02736293):0.02072108):0.007550236):0.004824623, [...]
-tree 92 = (Candoia_aspera:0.4281057,((((Python_timoriensis:0.08823408,Python_reticulatus:0.05737884):0.06100876,(((Bothrochilus_boa:0.07126329,Liasis_albertisii:0.04201895):0.03675228,((Antaresia_melanocephalus:0.04236584,Antaresia_ramsayi:0.03108991):0.04881623,((Liasis_mackloti:0.01787838,Liasis_fuscus:0.01928909):0.04546609,(Liasis_olivaceus:0.05017097,Apodora_papuana:0.06242772):0.00707014):0.01689589):0.01717237):0.003562895,((Morelia_boeleni:0.09789998,((Morelia_oenpelliensis:0.067 [...]
-tree 93 = ((((Python_regius:0.1131232,((Python_molurus:0.05168396,Python_sebae:0.08173496):0.02146037,Python_curtus:0.1083859):0.01259181):0.0382401,(((((Morelia_carinata:0.07151188,(Morelia_viridisN:0.03574948,Morelia_viridisS:0.06082342):0.02895885):0.01261191,((Antaresia_perthensis:0.06404546,(Antaresia_stimsoni:0.01594511,Antaresia_childreni:0.02247536):0.02246347):0.006851028,Antaresia_maculosa:0.0730325):0.01006378):0.02929077,(((Apodora_papuana:0.05937471,Liasis_olivaceus:0.030790 [...]
-tree 94 = (((Python_regius:0.1239454,((Python_molurus:0.03482248,Python_sebae:0.07534156):0.00995777,Python_curtus:0.09774541):0.04014603):0.01570374,(((Morelia_boeleni:0.08858978,((((Antaresia_ramsayi:0.0206568,Antaresia_melanocephalus:0.04666388):0.04498903,(Apodora_papuana:0.05813629,(Liasis_olivaceus:0.05170553,(Liasis_fuscus:0.02074332,Liasis_mackloti:0.01562806):0.04108401):0.00829329):0.0165318):0.005684696,(Liasis_albertisii:0.05068824,Bothrochilus_boa:0.06321412):0.03784581):0.0 [...]
-tree 95 = ((((((((Antaresia_ramsayi:0.02667422,Antaresia_melanocephalus:0.04534988):0.05253592,(Apodora_papuana:0.07194987,(Liasis_olivaceus:0.04129446,(Liasis_mackloti:0.02126345,Liasis_fuscus:0.02281094):0.05439975):0.01019772):0.007377441):0.0114808,(((Morelia_viridisS:0.03858762,Morelia_viridisN:0.04247917):0.02657865,Morelia_carinata:0.08634983):0.01532563,((Antaresia_perthensis:0.07156371,(Antaresia_stimsoni:0.02213176,Antaresia_childreni:0.01944844):0.03966154):0.008415598,Antares [...]
-tree 96 = ((Loxocemus_bicolor:0.2807967,(((Python_timoriensis:0.06910729,Python_reticulatus:0.05372697):0.07638634,((((Morelia_viridisN:0.02707026,Morelia_viridisS:0.04347542):0.02229195,Morelia_carinata:0.05926867):0.01329909,(Antaresia_maculosa:0.04804866,((Antaresia_stimsoni:0.0148235,Antaresia_childreni:0.02618698):0.03229745,Antaresia_perthensis:0.06685734):0.003997152):0.01381649):0.01124514,((((((Morelia_tracyae:0.04246949,(((Morelia_nauta:0.005484603,Morelia_kinghorni:0.0104469): [...]
-tree 97 = (Candoia_aspera:0.5039896,(Loxocemus_bicolor:0.2850881,((((Python_sebae:0.08938354,Python_molurus:0.03446374):0.01632282,Python_curtus:0.1258863):0.02531511,Python_regius:0.1176712):0.04925833,((((((Antaresia_ramsayi:0.03828439,Antaresia_melanocephalus:0.03645482):0.04680986,(((Liasis_fuscus:0.02699014,Liasis_mackloti:0.008925802):0.04733224,Liasis_olivaceus:0.03373177):0.01716661,Apodora_papuana:0.05578779):0.01661917):0.001369567,(Liasis_albertisii:0.05880192,Bothrochilus_boa [...]
-tree 98 = (Candoia_aspera:0.3960502,(((Python_regius:0.1248549,(Python_curtus:0.09506814,(Python_sebae:0.07827634,Python_molurus:0.03632028):0.01662299):0.02602335):0.05087225,((Python_reticulatus:0.0549807,Python_timoriensis:0.06575509):0.04986447,((((Antaresia_perthensis:0.05946804,(Antaresia_childreni:0.02254218,Antaresia_stimsoni:0.02131714):0.03895009):0.01473793,Antaresia_maculosa:0.07138852):0.004917744,(Morelia_carinata:0.06986168,(Morelia_viridisN:0.03186693,Morelia_viridisS:0.0 [...]
-tree 99 = (((((Morelia_boeleni:0.09666952,((Morelia_bredli:0.02487562,Morelia_spilota:0.01972983):0.02472607,(Morelia_oenpelliensis:0.05818019,(Morelia_tracyae:0.04529842,((Morelia_nauta:0.001550672,(Morelia_clastolepis:0.00699391,Morelia_kinghorni:0.008062495):0.007728304):0.01843411,Morelia_amethistina:0.02151424):0.006970344):0.04507299):0.008188663):0.02156805):0.002725827,((((((Liasis_fuscus:0.02915797,Liasis_mackloti:0.01101938):0.05756546,Liasis_olivaceus:0.04796678):0.01695819,Ap [...]
-tree 100 = ((Loxocemus_bicolor:0.2671658,(((Python_curtus:0.1129476,(Python_molurus:0.04232295,Python_sebae:0.06584234):0.02744495):0.01460987,Python_regius:0.1067747):0.04485947,((((((Morelia_spilota:0.03627458,Morelia_bredli:0.02800939):0.03362723,((Morelia_tracyae:0.05576232,(((Morelia_kinghorni:0.00559587,Morelia_nauta:0.009946386):0.003195788,Morelia_clastolepis:0.003350075):0.01567562,Morelia_amethistina:0.02654552):0.005885569):0.02131979,Morelia_oenpelliensis:0.06271031):0.007420 [...]
-tree 101 = ((Loxocemus_bicolor:0.3169261,((Python_regius:0.1401556,(Python_curtus:0.08796553,(Python_molurus:0.04991819,Python_sebae:0.08324849):0.02384237):0.01601799):0.04009144,((((((Morelia_tracyae:0.04670118,((Morelia_clastolepis:0.003713301,(Morelia_kinghorni:0.01206751,Morelia_nauta:0.01282358):0.01047532):0.0141348,Morelia_amethistina:0.01978401):0.006927226):0.02565125,Morelia_oenpelliensis:0.05165965):0.007390497,(Morelia_spilota:0.02417998,Morelia_bredli:0.03266626):0.03605997 [...]
-End;
-
-[Total of 101 trees sourced from:]
-[ ../mb/pythonidae.mb.run3.t: 1001 trees in file, sampling 1 tree of every 10 trees after 0 tree burn-in: 101 trees added (current total = 101 trees) ]
diff --git a/doc/source/examples/pythonidae.mb.run4.t b/doc/source/examples/pythonidae.mb.run4.t
deleted file mode 100644
index bea3e6b..0000000
--- a/doc/source/examples/pythonidae.mb.run4.t
+++ /dev/null
@@ -1,108 +0,0 @@
-#NEXUS
-
-Begin Trees;
-tree 1 = (Morelia_viridisS:0.1,(Python_reticulatus:0.1,(Liasis_albertisii:0.1,((Python_sebae:0.1,(Morelia_kinghorni:0.1,((Morelia_tracyae:0.1,Antaresia_ramsayi:0.1):0.1,(Morelia_clastolepis:0.1,Liasis_olivaceus:0.1):0.1):0.1):0.1):0.1,((Liasis_fuscus:0.1,(Antaresia_melanocephalus:0.1,((Morelia_boeleni:0.1,Morelia_oenpelliensis:0.1):0.1,(Morelia_nauta:0.1,(Apodora_papuana:0.1,((Python_regius:0.1,(Antaresia_stimsoni:0.1,(Antaresia_childreni:0.1,(Python_curtus:0.1,(Python_molurus:0.1,(Morel [...]
-tree 2 = ((Loxocemus_bicolor:0.29998,((Python_regius:0.08968457,(Python_curtus:0.1029562,(Python_sebae:0.09757662,Python_molurus:0.0259894):0.01456706):0.02502923):0.04690754,(((((Liasis_albertisii:0.04723311,Bothrochilus_boa:0.05733938):0.03385905,((((Morelia_amethistina:0.02284752,(Morelia_nauta:0.007179308,(Morelia_kinghorni:0.005976172,Morelia_clastolepis:0.01150655):0.004736825):0.01950885):0.008573832,Morelia_tracyae:0.04217456):0.04538893,Morelia_oenpelliensis:0.07600545):0.002258 [...]
-tree 3 = ((Loxocemus_bicolor:0.2209193,Candoia_aspera:0.5175202):0.05981584,((Python_regius:0.131341,((Python_sebae:0.08197324,Python_molurus:0.02629174):0.004903717,Python_curtus:0.1151623):0.01926628):0.03974369,(((((((Morelia_tracyae:0.0621596,(Morelia_amethistina:0.01752052,((Morelia_clastolepis:0.009737327,Morelia_kinghorni:0.00774926):0.0004675142,Morelia_nauta:0.004862369):0.02153621):0.0107371):0.04272645,Morelia_oenpelliensis:0.08233729):0.004388594,(Morelia_bredli:0.02426521,Mo [...]
-tree 4 = (Candoia_aspera:0.4448422,(((Python_regius:0.1280475,(Python_curtus:0.09500802,(Python_molurus:0.03410363,Python_sebae:0.09097051):0.01147731):0.0116351):0.04962919,((Python_timoriensis:0.07265631,Python_reticulatus:0.06311041):0.06279975,(((Morelia_carinata:0.06853881,(Morelia_viridisS:0.05068178,Morelia_viridisN:0.04196028):0.02447451):0.01809677,(((Antaresia_childreni:0.02673943,Antaresia_stimsoni:0.0133698):0.04104044,Antaresia_perthensis:0.08526301):0.007445487,Antaresia_ma [...]
-tree 5 = (Candoia_aspera:0.4015654,(Loxocemus_bicolor:0.288799,(((Python_curtus:0.09116556,(Python_molurus:0.03555662,Python_sebae:0.07814927):0.0160167):0.0205932,Python_regius:0.123048):0.04098075,((Python_timoriensis:0.05968186,Python_reticulatus:0.06968151):0.05547378,((Morelia_boeleni:0.08409658,(((Antaresia_ramsayi:0.03074081,Antaresia_melanocephalus:0.0346257):0.05305423,(Apodora_papuana:0.06106267,((Liasis_fuscus:0.01690269,Liasis_mackloti:0.01689524):0.03609024,Liasis_olivaceus: [...]
-tree 6 = ((((Python_curtus:0.09646189,(Python_sebae:0.08002913,Python_molurus:0.03568761):0.008634297):0.02200725,Python_regius:0.1317527):0.03633037,(((((Antaresia_perthensis:0.05307065,(Antaresia_stimsoni:0.009090358,Antaresia_childreni:0.0254213):0.04220135):0.01816758,Antaresia_maculosa:0.06828908):0.01002845,((Morelia_viridisN:0.0248399,Morelia_viridisS:0.05401829):0.02268186,Morelia_carinata:0.07445212):0.009722884):0.01743538,(((((Antaresia_melanocephalus:0.03836372,Antaresia_rams [...]
-tree 7 = ((Candoia_aspera:0.4619861,((((Python_molurus:0.03721065,Python_sebae:0.09614368):0.0162926,Python_curtus:0.1000736):0.01924715,Python_regius:0.119749):0.04487645,((Python_timoriensis:0.06912482,Python_reticulatus:0.05068688):0.06164897,(((Liasis_albertisii:0.04401247,Bothrochilus_boa:0.05268417):0.03726093,((Apodora_papuana:0.06119071,(Liasis_olivaceus:0.04297874,(Liasis_fuscus:0.0283551,Liasis_mackloti:0.006027042):0.04708239):0.00937156):0.009677338,(Antaresia_ramsayi:0.03275 [...]
-tree 8 = (((((Python_curtus:0.08970388,(Python_sebae:0.09383888,Python_molurus:0.03118811):0.02230383):0.0318401,Python_regius:0.1112805):0.03880972,((Python_timoriensis:0.05606978,Python_reticulatus:0.06112931):0.06149968,(((((((Liasis_fuscus:0.02430779,Liasis_mackloti:0.01298445):0.05819194,Liasis_olivaceus:0.04340126):0.0157641,Apodora_papuana:0.05457405):0.01652161,(Antaresia_ramsayi:0.02531317,Antaresia_melanocephalus:0.04808955):0.06518523):0.003581067,(Liasis_albertisii:0.04956958 [...]
-tree 9 = ((Loxocemus_bicolor:0.2792383,((Python_regius:0.1106281,((Python_molurus:0.03239843,Python_sebae:0.08617904):0.005639289,Python_curtus:0.1382793):0.03422022):0.03756419,((Python_timoriensis:0.07247158,Python_reticulatus:0.05732143):0.06344207,(((((Apodora_papuana:0.05626137,Liasis_olivaceus:0.02901987):0.008936626,(Liasis_fuscus:0.02781678,Liasis_mackloti:0.008644321):0.06617561):0.01733756,(Antaresia_melanocephalus:0.04252032,Antaresia_ramsayi:0.02837204):0.04600447):0.01135502 [...]
-tree 10 = (((((Python_curtus:0.1072085,(Python_molurus:0.03871235,Python_sebae:0.0678876):0.01192949):0.01668069,Python_regius:0.1224135):0.03929044,((Python_timoriensis:0.06715769,Python_reticulatus:0.06970045):0.0697207,(((((Antaresia_perthensis:0.06640792,(Antaresia_stimsoni:0.01099803,Antaresia_childreni:0.03139541):0.03590912):0.02305846,Antaresia_maculosa:0.06796156):0.008023627,((Morelia_viridisN:0.03763553,Morelia_viridisS:0.05044016):0.0219675,Morelia_carinata:0.07447572):0.0181 [...]
-tree 11 = ((((Python_regius:0.1027942,(Python_curtus:0.1093195,(Python_molurus:0.03616785,Python_sebae:0.09714906):0.01900329):0.008746833):0.03480031,((Python_timoriensis:0.05888493,Python_reticulatus:0.05249643):0.06859351,((Liasis_albertisii:0.04248073,Bothrochilus_boa:0.08031133):0.03398111,((Morelia_boeleni:0.07999314,((((Liasis_fuscus:0.01725487,Liasis_mackloti:0.01089339):0.05703001,(Liasis_olivaceus:0.0302746,Apodora_papuana:0.05585387):0.01099982):0.01251347,(Antaresia_melanocep [...]
-tree 12 = ((Loxocemus_bicolor:0.200797,Candoia_aspera:0.4791858):0.02924977,(((Python_timoriensis:0.07453055,Python_reticulatus:0.05007415):0.04164017,((Morelia_boeleni:0.08686082,(((Morelia_tracyae:0.02808619,(Morelia_amethistina:0.02303181,((Morelia_kinghorni:0.01274665,Morelia_nauta:0.009048873):0.001590683,Morelia_clastolepis:0.006054381):0.01882585):0.01332885):0.03223371,Morelia_oenpelliensis:0.05694572):0.002731064,(Morelia_bredli:0.02672501,Morelia_spilota:0.0225727):0.02678919): [...]
-tree 13 = (Candoia_aspera:0.4273618,(((((((Bothrochilus_boa:0.05415261,Liasis_albertisii:0.06038956):0.0360089,((Antaresia_melanocephalus:0.03041821,Antaresia_ramsayi:0.0331126):0.05873344,((Liasis_fuscus:0.0184059,Liasis_mackloti:0.01465728):0.04310984,(Apodora_papuana:0.05418494,Liasis_olivaceus:0.03883886):0.016399):0.01873951):0.009908615):0.005950868,(Morelia_boeleni:0.09917271,((Morelia_bredli:0.02846252,Morelia_spilota:0.02458112):0.0365903,(((Morelia_tracyae:0.03813979,(Morelia_c [...]
-tree 14 = ((Loxocemus_bicolor:0.2478028,((((((Antaresia_ramsayi:0.03367224,Antaresia_melanocephalus:0.03609129):0.04704844,((Apodora_papuana:0.05697895,Liasis_olivaceus:0.03303652):0.003571652,(Liasis_fuscus:0.02007346,Liasis_mackloti:0.008729213):0.04390847):0.02024927):0.005893421,((Liasis_albertisii:0.05713446,Bothrochilus_boa:0.06403746):0.02788034,(Morelia_boeleni:0.07313066,((Morelia_spilota:0.03214009,Morelia_bredli:0.02508033):0.02692491,((((Morelia_clastolepis:0.001813014,(Morel [...]
-tree 15 = (Candoia_aspera:0.4192863,(Loxocemus_bicolor:0.2798413,(((((((Antaresia_stimsoni:0.01329395,Antaresia_childreni:0.02283497):0.03790398,Antaresia_perthensis:0.07216747):0.008864959,Antaresia_maculosa:0.06182634):0.009885569,((Morelia_viridisN:0.034578,Morelia_viridisS:0.04693376):0.01679416,Morelia_carinata:0.04904747):0.01559752):0.01005754,((Morelia_boeleni:0.07412517,(((Morelia_tracyae:0.02896581,(Morelia_amethistina:0.03479837,((Morelia_nauta:0.0063588,Morelia_kinghorni:0.00 [...]
-tree 16 = (Candoia_aspera:0.5004037,(Loxocemus_bicolor:0.2686312,((Python_regius:0.1227537,((Python_molurus:0.02929629,Python_sebae:0.07680908):0.01567275,Python_curtus:0.1201353):0.02038343):0.03700993,((Python_timoriensis:0.05402337,Python_reticulatus:0.06266955):0.0723655,(((Antaresia_maculosa:0.0824284,((Antaresia_childreni:0.02716977,Antaresia_stimsoni:0.01773016):0.03547345,Antaresia_perthensis:0.081437):0.0118044):0.01428121,(Morelia_carinata:0.06047333,(Morelia_viridisS:0.0537466 [...]
-tree 17 = (Candoia_aspera:0.3860517,(Loxocemus_bicolor:0.2262186,((Python_regius:0.108871,(Python_curtus:0.07047174,(Python_molurus:0.03462239,Python_sebae:0.07665672):0.009287629):0.01072433):0.04514998,((Python_timoriensis:0.0838981,Python_reticulatus:0.05669912):0.05609795,((((((Morelia_tracyae:0.03987745,((Morelia_clastolepis:0.007140712,(Morelia_nauta:0.01100948,Morelia_kinghorni:0.007874271):0.002130305):0.00610072,Morelia_amethistina:0.02963331):0.01019719):0.0334844,Morelia_oenpe [...]
-tree 18 = ((Loxocemus_bicolor:0.2877769,((Python_regius:0.1397491,((Python_sebae:0.08341701,Python_molurus:0.031548):0.02842307,Python_curtus:0.1021217):0.0152687):0.05564439,((Python_timoriensis:0.06025919,Python_reticulatus:0.06209771):0.06208062,((Morelia_boeleni:0.07254053,((Morelia_spilota:0.0292054,Morelia_bredli:0.02617089):0.04941909,((Morelia_tracyae:0.04522253,(((Morelia_kinghorni:0.01142549,Morelia_clastolepis:0.01216984):0.007288991,Morelia_nauta:0.0008988171):0.01149753,More [...]
-tree 19 = (Candoia_aspera:0.4315535,(((Python_regius:0.1083479,(Python_curtus:0.1078002,(Python_molurus:0.06315571,Python_sebae:0.07304212):0.03146347):0.02541859):0.05393959,((Python_timoriensis:0.0555151,Python_reticulatus:0.07256859):0.06332415,((((((Antaresia_childreni:0.02090179,Antaresia_stimsoni:0.02001766):0.03533676,Antaresia_perthensis:0.0606145):0.01254612,Antaresia_maculosa:0.06593747):0.007542348,(Morelia_carinata:0.06172531,(Morelia_viridisS:0.04635308,Morelia_viridisN:0.04 [...]
-tree 20 = ((Loxocemus_bicolor:0.3155324,((Python_regius:0.1228927,(Python_curtus:0.1097628,(Python_molurus:0.03835939,Python_sebae:0.07668466):0.008325477):0.01460641):0.06564612,((Python_timoriensis:0.07856463,Python_reticulatus:0.05958525):0.05230699,(Morelia_boeleni:0.06775803,(((Liasis_albertisii:0.0645956,Bothrochilus_boa:0.06127537):0.02999912,((Antaresia_ramsayi:0.0288452,Antaresia_melanocephalus:0.04084328):0.04550624,(((Liasis_fuscus:0.01444571,Liasis_mackloti:0.01290266):0.0390 [...]
-tree 21 = (Candoia_aspera:0.4216067,(Loxocemus_bicolor:0.2956747,(((Python_curtus:0.08918839,(Python_molurus:0.05216853,Python_sebae:0.07150718):0.01801873):0.01726334,Python_regius:0.1668874):0.04387736,((Python_timoriensis:0.07135985,Python_reticulatus:0.05553729):0.06714049,(((Morelia_carinata:0.05402521,(Morelia_viridisS:0.04267584,Morelia_viridisN:0.03901156):0.01898352):0.01712506,(((Antaresia_childreni:0.02684644,Antaresia_stimsoni:0.01368649):0.04100616,Antaresia_perthensis:0.061 [...]
-tree 22 = ((Loxocemus_bicolor:0.2416069,((Python_regius:0.1243658,((Python_molurus:0.02672784,Python_sebae:0.07747051):0.01978814,Python_curtus:0.09906979):0.01446203):0.03923037,((Python_timoriensis:0.07259966,Python_reticulatus:0.05987173):0.06120053,(((Liasis_albertisii:0.0463971,Bothrochilus_boa:0.06180745):0.03566932,((Apodora_papuana:0.0726456,(Liasis_olivaceus:0.04192667,(Liasis_fuscus:0.02242715,Liasis_mackloti:0.01043229):0.04170356):0.01561047):0.01366414,(Antaresia_ramsayi:0.0 [...]
-tree 23 = (((((Python_timoriensis:0.08258052,Python_reticulatus:0.05853735):0.08288238,(((((Morelia_viridisN:0.03066907,Morelia_viridisS:0.05095432):0.01767479,Morelia_carinata:0.07342125):0.01474768,(((Antaresia_stimsoni:0.01833412,Antaresia_childreni:0.02854834):0.0462008,Antaresia_perthensis:0.0652752):0.01291676,Antaresia_maculosa:0.08806668):0.007344264):0.02173363,((Antaresia_ramsayi:0.03082787,Antaresia_melanocephalus:0.04706824):0.05208642,((Liasis_olivaceus:0.04073541,(Liasis_fu [...]
-tree 24 = (((Python_regius:0.1417174,(Python_curtus:0.110082,(Python_molurus:0.02637725,Python_sebae:0.07899893):0.01286143):0.01916527):0.06151694,((((((Liasis_fuscus:0.0178239,Liasis_mackloti:0.01868649):0.05704714,(Apodora_papuana:0.05741915,Liasis_olivaceus:0.0337298):0.01104941):0.01689001,(Antaresia_melanocephalus:0.03924603,Antaresia_ramsayi:0.03206718):0.06916624):0.004846253,(Liasis_albertisii:0.0753159,Bothrochilus_boa:0.07176204):0.03006251):0.00922749,(((Antaresia_maculosa:0. [...]
-tree 25 = (Candoia_aspera:0.3524799,((((Python_timoriensis:0.0740242,Python_reticulatus:0.05492826):0.06151397,(((Antaresia_maculosa:0.05970249,((Antaresia_stimsoni:0.01580222,Antaresia_childreni:0.03054988):0.03668299,Antaresia_perthensis:0.07063788):0.0183855):0.00864595,((Morelia_viridisN:0.03323697,Morelia_viridisS:0.05418915):0.02468022,Morelia_carinata:0.06302397):0.01568301):0.03371229,(((Liasis_albertisii:0.059584,Bothrochilus_boa:0.05887819):0.03012165,((Antaresia_ramsayi:0.0271 [...]
-tree 26 = (((((Python_curtus:0.08556007,(Python_sebae:0.06193187,Python_molurus:0.04968326):0.005435923):0.01851413,Python_regius:0.1277156):0.04573327,((((Bothrochilus_boa:0.06112235,Liasis_albertisii:0.0591258):0.03619068,(Morelia_boeleni:0.06807541,((Morelia_oenpelliensis:0.0523391,(Morelia_tracyae:0.03849492,(Morelia_amethistina:0.01932389,(Morelia_clastolepis:0.006375849,(Morelia_nauta:0.005909729,Morelia_kinghorni:0.008158058):0.003842392):0.01774768):0.002145456):0.0269855):0.0073 [...]
-tree 27 = ((Loxocemus_bicolor:0.2745395,((((Python_molurus:0.05626972,Python_sebae:0.07311616):0.02361951,Python_curtus:0.07978493):0.01955288,Python_regius:0.119671):0.0317135,(((((((Morelia_viridisN:0.03676345,Morelia_viridisS:0.03966575):0.03629429,Morelia_carinata:0.04791429):0.01092544,((Antaresia_perthensis:0.06241723,(Antaresia_stimsoni:0.01352217,Antaresia_childreni:0.02220556):0.03658676):0.01352575,Antaresia_maculosa:0.06451497):0.01398111):0.01464195,(((Liasis_olivaceus:0.0352 [...]
-tree 28 = ((((Python_curtus:0.1009424,(Python_sebae:0.07073727,Python_molurus:0.0458842):0.01611277):0.02137165,Python_regius:0.1032613):0.05541138,(((((Morelia_bredli:0.02912984,Morelia_spilota:0.02397348):0.02903979,(Morelia_oenpelliensis:0.04869417,(Morelia_tracyae:0.02929244,((Morelia_clastolepis:0.006308689,(Morelia_kinghorni:0.007352282,Morelia_nauta:0.003787058):0.004816204):0.01431019,Morelia_amethistina:0.02075164):0.009746208):0.03313488):0.007625648):0.02159451,Morelia_boeleni [...]
-tree 29 = (Candoia_aspera:0.3987203,((((Python_timoriensis:0.07231611,Python_reticulatus:0.06693656):0.07092691,((((Antaresia_ramsayi:0.02601053,Antaresia_melanocephalus:0.03847052):0.04431386,((Liasis_olivaceus:0.03460486,Apodora_papuana:0.05290077):0.009100054,(Liasis_fuscus:0.01768649,Liasis_mackloti:0.01600562):0.04353961):0.01585652):0.01486235,(Liasis_albertisii:0.04911192,Bothrochilus_boa:0.05631675):0.03876376):0.0004149582,((((Morelia_oenpelliensis:0.04973058,(Morelia_tracyae:0. [...]
-tree 30 = (Candoia_aspera:0.4868755,(((Python_regius:0.1221145,((Python_molurus:0.05019593,Python_sebae:0.07748772):0.01368855,Python_curtus:0.1141123):0.01987758):0.04155347,((Python_timoriensis:0.07494973,Python_reticulatus:0.05862679):0.06559235,(((Morelia_oenpelliensis:0.05175119,(Morelia_tracyae:0.04466695,(Morelia_amethistina:0.0192166,(Morelia_clastolepis:0.005236865,(Morelia_kinghorni:0.009909338,Morelia_nauta:0.01748069):0.002925145):0.01592512):0.01615313):0.03149762):0.0058539 [...]
-tree 31 = ((((Python_regius:0.127571,((Python_sebae:0.08733474,Python_molurus:0.02636416):0.01988984,Python_curtus:0.08227164):0.0179738):0.04350246,((((((Morelia_carinata:0.06880104,(Morelia_viridisN:0.03915972,Morelia_viridisS:0.05202187):0.02713937):0.00535652,(Antaresia_maculosa:0.07387812,(Antaresia_perthensis:0.06075918,(Antaresia_stimsoni:0.01861873,Antaresia_childreni:0.01600216):0.03189661):0.01853196):0.006632877):0.01217124,((Antaresia_melanocephalus:0.0414989,Antaresia_ramsay [...]
-tree 32 = ((Loxocemus_bicolor:0.2606271,((((Python_sebae:0.0818305,Python_molurus:0.02727312):0.01367413,Python_curtus:0.08714736):0.02175664,Python_regius:0.1020426):0.07583032,(((((Morelia_carinata:0.05255298,(Morelia_viridisN:0.02892482,Morelia_viridisS:0.05407292):0.03711387):0.01244001,((Antaresia_perthensis:0.06543078,(Antaresia_stimsoni:0.02282742,Antaresia_childreni:0.02338983):0.0390911):0.008210593,Antaresia_maculosa:0.07095299):0.007290989):0.01250111,((Bothrochilus_boa:0.0607 [...]
-tree 33 = (Candoia_aspera:0.3709596,(Loxocemus_bicolor:0.3007952,((Python_regius:0.1199573,(Python_curtus:0.1072403,(Python_molurus:0.03916451,Python_sebae:0.07200862):0.01487179):0.02108596):0.02065243,((Python_timoriensis:0.0774226,Python_reticulatus:0.05885978):0.06575871,((((Liasis_albertisii:0.06312153,Bothrochilus_boa:0.0504203):0.03711298,((((Liasis_fuscus:0.02797756,Liasis_mackloti:0.01218298):0.0538399,Liasis_olivaceus:0.04082057):0.01243284,Apodora_papuana:0.05917395):0.0123968 [...]
-tree 34 = ((Loxocemus_bicolor:0.3328977,(((Python_timoriensis:0.05424232,Python_reticulatus:0.06088091):0.0443408,(((((Morelia_bredli:0.03127133,Morelia_spilota:0.01963772):0.02802323,(Morelia_oenpelliensis:0.06068657,(((Morelia_clastolepis:0.003184588,(Morelia_nauta:0.008600695,Morelia_kinghorni:0.005238384):0.00852199):0.00685194,Morelia_amethistina:0.01906498):0.01556873,Morelia_tracyae:0.01951623):0.03165511):0.007153062):0.0306723,Morelia_boeleni:0.08086277):0.00606816,(((Antaresia_ [...]
-tree 35 = (((((((((Antaresia_perthensis:0.076839,(Antaresia_stimsoni:0.01678085,Antaresia_childreni:0.02946878):0.03759226):0.01176085,Antaresia_maculosa:0.06572966):0.005717706,(Morelia_carinata:0.05542747,(Morelia_viridisN:0.03474877,Morelia_viridisS:0.04205535):0.03438249):0.01795039):0.02082926,((Apodora_papuana:0.05639444,(Liasis_olivaceus:0.02437619,(Liasis_fuscus:0.02117262,Liasis_mackloti:0.007070453):0.04439346):0.0134516):0.01207259,((Antaresia_ramsayi:0.02854236,Antaresia_mela [...]
-tree 36 = ((Loxocemus_bicolor:0.2483509,Candoia_aspera:0.4492172):0.06859066,((Python_regius:0.1255389,((Python_molurus:0.03130493,Python_sebae:0.0745412):0.01865452,Python_curtus:0.1036943):0.01279912):0.01985159,((((((Morelia_carinata:0.08370114,(Morelia_viridisS:0.04985579,Morelia_viridisN:0.03327157):0.03830219):0.008672443,(Antaresia_maculosa:0.0623934,((Antaresia_childreni:0.02799178,Antaresia_stimsoni:0.02148532):0.03666041,Antaresia_perthensis:0.07446277):0.01086222):0.02094396): [...]
-tree 37 = (Candoia_aspera:0.4166711,((((Python_curtus:0.09816914,(Python_sebae:0.08240094,Python_molurus:0.05226293):0.01456777):0.01641748,Python_regius:0.137197):0.05957615,((Morelia_boeleni:0.08765504,((((Morelia_bredli:0.03444947,Morelia_spilota:0.02775664):0.02601056,(Morelia_amethistina:0.02924364,(Morelia_tracyae:0.03584065,((Morelia_nauta:0.01115885,Morelia_kinghorni:0.01021469):0.003210438,Morelia_clastolepis:0.006594632):0.03294197):0.001463494):0.03494781):0.002309134,Morelia_ [...]
-tree 38 = (Candoia_aspera:0.4315115,(Loxocemus_bicolor:0.2596803,((((((Morelia_bredli:0.02230078,Morelia_spilota:0.02205087):0.03955585,(Morelia_oenpelliensis:0.05115782,(((Morelia_clastolepis:0.008149148,(Morelia_nauta:0.002970811,Morelia_kinghorni:0.006429062):0.002749328):0.00566445,Morelia_amethistina:0.01508516):0.01228169,Morelia_tracyae:0.03545761):0.03108932):0.005038192):0.02099316,((((Antaresia_melanocephalus:0.04737015,Antaresia_ramsayi:0.02937167):0.04575993,(Apodora_papuana: [...]
-tree 39 = ((Loxocemus_bicolor:0.2923877,((Python_regius:0.1073602,(Python_curtus:0.08588581,(Python_molurus:0.04365642,Python_sebae:0.07138998):0.01973334):0.03022542):0.04769119,((Python_timoriensis:0.05422595,Python_reticulatus:0.05878151):0.05748568,((Morelia_boeleni:0.07541993,((Morelia_spilota:0.02019428,Morelia_bredli:0.04109098):0.0378947,(Morelia_oenpelliensis:0.06183072,(Morelia_tracyae:0.03545849,(((Morelia_clastolepis:0.004731276,Morelia_kinghorni:0.005092597):0.0005185752,Mor [...]
-tree 40 = ((Candoia_aspera:0.4156428,Loxocemus_bicolor:0.2269911):0.04826334,(((((((Antaresia_maculosa:0.07407624,(Antaresia_perthensis:0.05331123,(Antaresia_stimsoni:0.01391683,Antaresia_childreni:0.02353525):0.03288148):0.01385114):0.004249709,(Morelia_carinata:0.06564797,(Morelia_viridisN:0.04468362,Morelia_viridisS:0.0520571):0.02200155):0.008594821):0.01366193,((Antaresia_melanocephalus:0.04277621,Antaresia_ramsayi:0.02779418):0.04118139,((Liasis_olivaceus:0.04348896,Apodora_papuana [...]
-tree 41 = (Candoia_aspera:0.3566623,(((((Python_sebae:0.07282374,Python_molurus:0.02476629):0.02705769,Python_curtus:0.09737761):0.01517889,Python_regius:0.1214553):0.02036528,((Python_timoriensis:0.06640685,Python_reticulatus:0.04522264):0.07405751,(((Morelia_boeleni:0.08328095,((Morelia_bredli:0.03283461,Morelia_spilota:0.01994478):0.03109293,(((Morelia_tracyae:0.03936545,Morelia_amethistina:0.03400436):0.004093362,((Morelia_kinghorni:0.004637601,Morelia_nauta:0.008610755):0.005974469, [...]
-tree 42 = ((Loxocemus_bicolor:0.3158634,(((Python_timoriensis:0.0693274,Python_reticulatus:0.04754045):0.05546853,(((Bothrochilus_boa:0.06050538,Liasis_albertisii:0.0566936):0.03382026,((Antaresia_melanocephalus:0.04823754,Antaresia_ramsayi:0.03184894):0.04372982,((Liasis_olivaceus:0.04662664,Apodora_papuana:0.07828025):0.003462852,(Liasis_fuscus:0.02185453,Liasis_mackloti:0.009381108):0.04740364):0.02318003):0.004541615):0.004595739,((((Morelia_viridisN:0.03471745,Morelia_viridisS:0.045 [...]
-tree 43 = (Candoia_aspera:0.4779116,(Loxocemus_bicolor:0.3169837,(((((Liasis_albertisii:0.0474626,Bothrochilus_boa:0.0594194):0.03660165,(((Antaresia_melanocephalus:0.04410004,Antaresia_ramsayi:0.02017723):0.05126644,(Apodora_papuana:0.05914869,(Liasis_olivaceus:0.05195717,(Liasis_fuscus:0.02399651,Liasis_mackloti:0.007262315):0.04950535):0.01042366):0.01214327):0.01340623,(((Morelia_bredli:0.03687476,Morelia_spilota:0.03293356):0.02977614,((Morelia_tracyae:0.04761735,(Morelia_amethistin [...]
-tree 44 = (Candoia_aspera:0.3818913,(Loxocemus_bicolor:0.2384072,(((((Morelia_carinata:0.05838946,(Morelia_viridisN:0.02674,Morelia_viridisS:0.04088508):0.02908822):0.01411169,(Antaresia_maculosa:0.0580162,((Antaresia_stimsoni:0.01965443,Antaresia_childreni:0.02601986):0.04652883,Antaresia_perthensis:0.07484478):0.01135406):0.008163954):0.01560239,((((Apodora_papuana:0.05828467,(Liasis_olivaceus:0.0320515,(Liasis_fuscus:0.0194024,Liasis_mackloti:0.009507815):0.04213784):0.01011161):0.009 [...]
-tree 45 = (Candoia_aspera:0.4749727,(Loxocemus_bicolor:0.2909081,(((((Liasis_albertisii:0.05014584,Bothrochilus_boa:0.05870229):0.03693661,((Antaresia_melanocephalus:0.04437313,Antaresia_ramsayi:0.02662717):0.04252003,(Apodora_papuana:0.05208564,(Liasis_olivaceus:0.04891133,(Liasis_fuscus:0.02040686,Liasis_mackloti:0.01262133):0.05273751):0.01025606):0.02029362):0.007923826):0.0124865,(((Morelia_carinata:0.0634373,(Morelia_viridisN:0.03721233,Morelia_viridisS:0.0516408):0.02993211):0.013 [...]
-tree 46 = (Candoia_aspera:0.5167322,((((Python_timoriensis:0.06709443,Python_reticulatus:0.06793708):0.07640251,(((Bothrochilus_boa:0.0713485,Liasis_albertisii:0.04180947):0.03760496,(((Antaresia_maculosa:0.08028006,((Antaresia_stimsoni:0.01299851,Antaresia_childreni:0.02807306):0.04246189,Antaresia_perthensis:0.07026985):0.01391976):0.0195585,((Morelia_viridisN:0.03546905,Morelia_viridisS:0.0645878):0.04086846,Morelia_carinata:0.06635054):0.009228577):0.01671697,((Antaresia_melanocephal [...]
-tree 47 = ((Loxocemus_bicolor:0.243761,((Python_regius:0.1256326,((Python_sebae:0.07759863,Python_molurus:0.03319403):0.02745888,Python_curtus:0.1036193):0.01886196):0.04526608,((Python_timoriensis:0.07885125,Python_reticulatus:0.04078674):0.06705376,(((Morelia_boeleni:0.07244095,((((Morelia_amethistina:0.02612452,((Morelia_nauta:0.005952378,Morelia_kinghorni:0.01197636):0.003538517,Morelia_clastolepis:0.01001071):0.01796709):0.009481718,Morelia_tracyae:0.03859101):0.03004094,Morelia_oen [...]
-tree 48 = (Candoia_aspera:0.4623149,(Loxocemus_bicolor:0.2848758,(((Python_timoriensis:0.08529002,Python_reticulatus:0.06117518):0.05230377,((((Liasis_albertisii:0.05560586,Bothrochilus_boa:0.05213018):0.03215789,(Antaresia_ramsayi:0.03804862,Antaresia_melanocephalus:0.04693488):0.04454437):0.007747695,(Apodora_papuana:0.05693809,(Liasis_olivaceus:0.03222194,(Liasis_fuscus:0.0141549,Liasis_mackloti:0.01803922):0.06031693):0.008449162):0.01240927):0.008461036,((Morelia_boeleni:0.07705831, [...]
-tree 49 = ((((((Python_molurus:0.02966201,Python_sebae:0.07929907):0.02351445,Python_curtus:0.089452):0.02699706,Python_regius:0.1383436):0.04680606,((((((Bothrochilus_boa:0.05036822,Liasis_albertisii:0.05982621):0.03438025,(((Liasis_olivaceus:0.03713293,(Liasis_fuscus:0.01918723,Liasis_mackloti:0.01381359):0.04989393):0.01383069,Apodora_papuana:0.06764718):0.01789452,(Antaresia_melanocephalus:0.03643972,Antaresia_ramsayi:0.02577372):0.04709483):0.006821191):0.00657582,Morelia_boeleni:0. [...]
-tree 50 = (Candoia_aspera:0.4379332,(((((Python_sebae:0.07359605,Python_molurus:0.04254693):0.00898198,Python_curtus:0.1110208):0.02649152,Python_regius:0.09660345):0.05497974,(((Morelia_boeleni:0.07553051,((((Morelia_tracyae:0.04456018,Morelia_amethistina:0.02108639):0.002624646,(Morelia_nauta:0.008275892,(Morelia_kinghorni:0.01202487,Morelia_clastolepis:0.006690178):0.0003475322):0.0154572):0.03874607,Morelia_oenpelliensis:0.05392181):0.002551398,(Morelia_bredli:0.02786552,Morelia_spil [...]
-tree 51 = ((Loxocemus_bicolor:0.3498798,(((Python_curtus:0.1199984,(Python_molurus:0.03343227,Python_sebae:0.06214762):0.01505318):0.01582637,Python_regius:0.1361952):0.06415399,(((Morelia_boeleni:0.07756513,((Morelia_oenpelliensis:0.07415,(Morelia_tracyae:0.04061802,(Morelia_amethistina:0.04029614,(Morelia_clastolepis:0.008050705,(Morelia_kinghorni:0.008623384,Morelia_nauta:0.01475328):0.003627272):0.01071592):0.01336837):0.02026353):0.002976652,(Morelia_bredli:0.02779951,Morelia_spilot [...]
-tree 52 = (Candoia_aspera:0.4393582,(Loxocemus_bicolor:0.3036332,(((Python_timoriensis:0.07685404,Python_reticulatus:0.0588312):0.06606706,(((((Morelia_bredli:0.02885476,Morelia_spilota:0.02530417):0.03299627,((((Morelia_clastolepis:0.002007727,(Morelia_nauta:0.01156896,Morelia_kinghorni:0.002030209):0.007676394):0.01607767,Morelia_tracyae:0.04849488):0.01065517,Morelia_amethistina:0.02323289):0.04031674,Morelia_oenpelliensis:0.07842425):0.006012383):0.01645917,Morelia_boeleni:0.08212263 [...]
-tree 53 = (Candoia_aspera:0.4354567,((((((((((Morelia_amethistina:0.01880946,Morelia_tracyae:0.03228031):0.007355948,(Morelia_nauta:0.002509787,(Morelia_kinghorni:0.008547859,Morelia_clastolepis:0.006177976):0.01163141):0.006092898):0.0437007,Morelia_oenpelliensis:0.05868744):0.01058369,(Morelia_bredli:0.02021243,Morelia_spilota:0.0236931):0.04113045):0.02420083,Morelia_boeleni:0.08697624):0.001693959,(((Apodora_papuana:0.05754786,((Liasis_fuscus:0.01519766,Liasis_mackloti:0.00888373):0. [...]
-tree 54 = ((((((((((Morelia_kinghorni:0.008665215,Morelia_nauta:0.0109783):0.001026878,Morelia_clastolepis:0.003541599):0.02206708,Morelia_amethistina:0.01969782):0.004866081,Morelia_tracyae:0.03401599):0.04312542,Morelia_oenpelliensis:0.05542273):0.004424566,(Morelia_bredli:0.02587295,Morelia_spilota:0.02686584):0.03220125):0.02335586,(Morelia_boeleni:0.07466805,((((Morelia_viridisN:0.03284982,Morelia_viridisS:0.05396462):0.02402509,Morelia_carinata:0.0733903):0.00859578,(Antaresia_macu [...]
-tree 55 = (Candoia_aspera:0.4096436,(Loxocemus_bicolor:0.2825922,((Python_regius:0.143649,((Python_molurus:0.03263311,Python_sebae:0.09044284):0.03325118,Python_curtus:0.09589007):0.01728509):0.04095609,((Python_timoriensis:0.07044698,Python_reticulatus:0.06046401):0.0612632,((((Morelia_bredli:0.0283581,Morelia_spilota:0.01987454):0.02565555,(((Morelia_tracyae:0.04287551,(Morelia_clastolepis:0.006354092,(Morelia_kinghorni:0.007341021,Morelia_nauta:0.01217569):1.422462e-05):0.02275691):0. [...]
-tree 56 = ((((Python_timoriensis:0.0821696,Python_reticulatus:0.0374911):0.06419834,(((Morelia_boeleni:0.08052849,((Morelia_bredli:0.03064723,Morelia_spilota:0.02530753):0.03036284,(((Morelia_amethistina:0.02839346,((Morelia_kinghorni:0.005676871,Morelia_nauta:0.006679796):0.006206046,Morelia_clastolepis:0.002117769):0.02479271):0.007808779,Morelia_tracyae:0.056348):0.03795807,Morelia_oenpelliensis:0.06488113):0.002177624):0.01503186):0.006123575,((Bothrochilus_boa:0.07207754,Liasis_albe [...]
-tree 57 = ((Loxocemus_bicolor:0.2325396,((((Python_molurus:0.03786264,Python_sebae:0.06502635):0.007936275,Python_curtus:0.09277477):0.01503368,Python_regius:0.1075102):0.03876495,((Python_timoriensis:0.06244723,Python_reticulatus:0.06023936):0.05824688,(((((Morelia_carinata:0.06145063,(Morelia_viridisN:0.03435088,Morelia_viridisS:0.04947603):0.02912258):0.01761857,(Antaresia_maculosa:0.07065326,(Antaresia_perthensis:0.07828664,(Antaresia_stimsoni:0.0170134,Antaresia_childreni:0.02668196 [...]
-tree 58 = ((Loxocemus_bicolor:0.2468242,(((Python_curtus:0.1170279,(Python_sebae:0.09284164,Python_molurus:0.03687876):0.02243126):0.01334561,Python_regius:0.1148749):0.04587945,((Python_timoriensis:0.07785041,Python_reticulatus:0.06751723):0.08746517,(((Morelia_boeleni:0.08939881,(Bothrochilus_boa:0.07597912,Liasis_albertisii:0.05399311):0.0351783):0.0007660284,((Morelia_bredli:0.02840847,Morelia_spilota:0.02214527):0.03226572,(Morelia_oenpelliensis:0.07709114,(((Morelia_nauta:0.0063821 [...]
-tree 59 = (((Python_regius:0.1522807,(Python_curtus:0.1117174,(Python_sebae:0.1053864,Python_molurus:0.04630373):0.02259866):0.01967949):0.0319183,((Python_timoriensis:0.08010659,Python_reticulatus:0.03796243):0.06844831,(((Morelia_boeleni:0.09501911,((Morelia_oenpelliensis:0.06511799,(((Morelia_clastolepis:0.006418486,(Morelia_nauta:0.01409049,Morelia_kinghorni:0.01242694):0.009480745):0.01750396,Morelia_amethistina:0.02468036):0.005713716,Morelia_tracyae:0.05530899):0.02743302):0.00888 [...]
-tree 60 = (Candoia_aspera:0.4340778,(((((Python_molurus:0.05527572,Python_sebae:0.08815507):0.01067865,Python_curtus:0.09143945):0.006439727,Python_regius:0.1452298):0.03931163,((Python_timoriensis:0.07775332,Python_reticulatus:0.056339):0.06948392,((((Antaresia_melanocephalus:0.0428833,Antaresia_ramsayi:0.02298154):0.05497927,(((Liasis_fuscus:0.0206774,Liasis_mackloti:0.01631532):0.04937458,Liasis_olivaceus:0.05034072):0.0149876,Apodora_papuana:0.06038298):0.02319475):0.008116068,(Liasi [...]
-tree 61 = ((((((((Antaresia_perthensis:0.07638852,(Antaresia_stimsoni:0.02121778,Antaresia_childreni:0.02889215):0.0354173):0.01981606,Antaresia_maculosa:0.0693481):0.01032929,(Morelia_carinata:0.06492437,(Morelia_viridisN:0.02927527,Morelia_viridisS:0.04859942):0.01695186):0.01177804):0.01795348,(((Liasis_albertisii:0.0494817,Bothrochilus_boa:0.0678623):0.03585962,((Antaresia_ramsayi:0.02585155,Antaresia_melanocephalus:0.04108934):0.04877222,(Apodora_papuana:0.06419168,(Liasis_olivaceus [...]
-tree 62 = (((((Python_curtus:0.1007437,(Python_sebae:0.07847175,Python_molurus:0.03661869):0.01177114):0.01913868,Python_regius:0.1148672):0.044093,((Morelia_boeleni:0.08594061,(((((((Morelia_kinghorni:0.004810639,Morelia_nauta:0.01061287):0.01048466,Morelia_clastolepis:0.009231243):0.00945426,Morelia_amethistina:0.02563356):0.004799697,Morelia_tracyae:0.04114297):0.03006124,Morelia_oenpelliensis:0.07771829):0.009323358,(Morelia_bredli:0.03632089,Morelia_spilota:0.02523437):0.04209958):0 [...]
-tree 63 = (Candoia_aspera:0.4533356,((((((Liasis_albertisii:0.04457579,Bothrochilus_boa:0.05094706):0.0327761,(Morelia_boeleni:0.07913116,((Morelia_oenpelliensis:0.07029218,((Morelia_clastolepis:0.0019791,(Morelia_kinghorni:0.0075455,Morelia_nauta:0.009120248):0.009370934):0.01231059,(Morelia_amethistina:0.02332951,Morelia_tracyae:0.03878409):0.003046213):0.02605981):0.002390341,(Morelia_bredli:0.03384283,Morelia_spilota:0.02554936):0.03919047):0.02307381):0.001715514):0.0006266203,(((An [...]
-tree 64 = (Candoia_aspera:0.4760166,(Loxocemus_bicolor:0.2757868,(((Python_timoriensis:0.07564501,Python_reticulatus:0.05995008):0.08176805,(((Liasis_albertisii:0.05854234,Bothrochilus_boa:0.06265786):0.03611681,(((Morelia_carinata:0.06077572,(Morelia_viridisN:0.03375266,Morelia_viridisS:0.05060965):0.01678711):0.01210923,(Antaresia_maculosa:0.06233509,(Antaresia_perthensis:0.0815234,(Antaresia_stimsoni:0.01417981,Antaresia_childreni:0.02374216):0.02519215):0.01449892):0.00686185):0.0165 [...]
-tree 65 = (Candoia_aspera:0.4138643,(((((Python_molurus:0.03606197,Python_sebae:0.08431371):0.0151031,Python_curtus:0.09509211):0.009259102,Python_regius:0.1134973):0.06223495,(((((Liasis_albertisii:0.06055545,Bothrochilus_boa:0.07139759):0.01471734,((Antaresia_ramsayi:0.03518096,Antaresia_melanocephalus:0.02931779):0.04659165,(Apodora_papuana:0.06222481,(Liasis_olivaceus:0.04596883,(Liasis_fuscus:0.02048555,Liasis_mackloti:0.01178189):0.0473872):0.005137335):0.01289113):0.01185418):0.00 [...]
-tree 66 = (Candoia_aspera:0.4089105,(Loxocemus_bicolor:0.2593586,(((Python_timoriensis:0.07988133,Python_reticulatus:0.05016129):0.07450671,(((((Morelia_carinata:0.07236462,(Morelia_viridisN:0.02473521,Morelia_viridisS:0.05530351):0.02301765):0.009019592,(Antaresia_maculosa:0.08353675,(Antaresia_perthensis:0.09658293,(Antaresia_stimsoni:0.013754,Antaresia_childreni:0.03040858):0.0405517):0.01371936):0.01787184):0.02750648,(Morelia_boeleni:0.08164632,((Morelia_bredli:0.03820559,Morelia_sp [...]
-tree 67 = (Candoia_aspera:0.4449339,(((((((Antaresia_melanocephalus:0.0453505,Antaresia_ramsayi:0.03185906):0.04791288,(Apodora_papuana:0.06816093,((Liasis_fuscus:0.013558,Liasis_mackloti:0.0222779):0.04901131,Liasis_olivaceus:0.04632228):0.008134278):0.01378831):0.009530067,((((Morelia_bredli:0.03261452,Morelia_spilota:0.02358782):0.02347192,(((((Morelia_clastolepis:0.008472611,Morelia_kinghorni:0.005468857):0.003942563,Morelia_nauta:0.006005992):0.01842269,Morelia_tracyae:0.03686506):0 [...]
-tree 68 = (Candoia_aspera:0.5362472,((((Python_curtus:0.1037307,(Python_sebae:0.1005292,Python_molurus:0.05540015):0.02078274):0.01943558,Python_regius:0.1120188):0.03340796,((Python_timoriensis:0.07649895,Python_reticulatus:0.06999589):0.05984266,((((Bothrochilus_boa:0.07809498,Liasis_albertisii:0.04177523):0.03933876,((Antaresia_melanocephalus:0.04510809,Antaresia_ramsayi:0.0235075):0.05109955,(Apodora_papuana:0.07140937,((Liasis_fuscus:0.01855687,Liasis_mackloti:0.01844191):0.04468211 [...]
-tree 69 = ((Loxocemus_bicolor:0.342135,((((((Liasis_albertisii:0.04830736,Bothrochilus_boa:0.07607338):0.03296,(((Liasis_fuscus:0.01679569,Liasis_mackloti:0.01195317):0.04018365,(Apodora_papuana:0.06570416,Liasis_olivaceus:0.04346911):0.01052556):0.01745802,(Antaresia_melanocephalus:0.03843291,Antaresia_ramsayi:0.03509593):0.0400436):0.01547011):0.002890318,(((((Morelia_tracyae:0.0552147,(Morelia_nauta:0.01088679,(Morelia_kinghorni:0.007242071,Morelia_clastolepis:0.01214149):0.004459173) [...]
-tree 70 = ((Loxocemus_bicolor:0.2690822,(((Python_curtus:0.0925561,(Python_sebae:0.0880517,Python_molurus:0.04310565):0.03291147):0.02703655,Python_regius:0.1015576):0.03443013,((Python_timoriensis:0.07286464,Python_reticulatus:0.0484841):0.05235894,(((((Morelia_viridisN:0.04018959,Morelia_viridisS:0.04779184):0.01664751,Morelia_carinata:0.05738444):0.01658997,(Antaresia_maculosa:0.05536493,(Antaresia_perthensis:0.07150627,(Antaresia_stimsoni:0.01522095,Antaresia_childreni:0.02336449):0. [...]
-tree 71 = ((((((Morelia_carinata:0.06155951,(Morelia_viridisS:0.04464672,Morelia_viridisN:0.02762765):0.02463339):0.01333783,(((Antaresia_childreni:0.01969403,Antaresia_stimsoni:0.01686892):0.02815768,Antaresia_perthensis:0.07071792):0.01990291,Antaresia_maculosa:0.08918901):0.01022217):0.01366177,(((Liasis_albertisii:0.05270908,Bothrochilus_boa:0.064011):0.03191483,((Antaresia_ramsayi:0.02613638,Antaresia_melanocephalus:0.04321827):0.04677747,(Apodora_papuana:0.05451725,((Liasis_fuscus: [...]
-tree 72 = (Candoia_aspera:0.453306,(Loxocemus_bicolor:0.3887322,((((Python_sebae:0.08365485,Python_molurus:0.03665528):0.0154688,Python_curtus:0.1050893):0.007793195,Python_regius:0.1534954):0.0613676,((Python_timoriensis:0.0680481,Python_reticulatus:0.0621895):0.06921195,(((Morelia_boeleni:0.07784198,((Morelia_bredli:0.02851329,Morelia_spilota:0.02151493):0.03156458,(Morelia_oenpelliensis:0.06409916,((Morelia_tracyae:0.03399367,Morelia_amethistina:0.03818573):0.008414893,(Morelia_nauta: [...]
-tree 73 = (Candoia_aspera:0.5520749,(Loxocemus_bicolor:0.2377251,(((((((Antaresia_stimsoni:0.0125949,Antaresia_childreni:0.02313392):0.02206282,Antaresia_perthensis:0.07820299):0.01191254,Antaresia_maculosa:0.06207283):0.01709952,((Morelia_viridisN:0.02766603,Morelia_viridisS:0.05194837):0.02040493,Morelia_carinata:0.06265164):0.005846406):0.03017284,(((((((Morelia_clastolepis:0.002789684,(Morelia_nauta:0.008007311,Morelia_kinghorni:0.004015526):0.004611768):0.007731586,Morelia_amethisti [...]
-tree 74 = (((((Python_curtus:0.1006856,(Python_sebae:0.08316927,Python_molurus:0.03516886):0.01796021):0.02440497,Python_regius:0.1332322):0.02834445,((Python_timoriensis:0.06957957,Python_reticulatus:0.05636223):0.05746936,((((Morelia_bredli:0.02128809,Morelia_spilota:0.02450162):0.03612316,((((Morelia_clastolepis:0.005198126,(Morelia_nauta:0.01442816,Morelia_kinghorni:0.01178255):0.002347382):0.02317242,Morelia_amethistina:0.01246185):0.01386049,Morelia_tracyae:0.03155355):0.02492261,M [...]
-tree 75 = (((((Python_timoriensis:0.07658318,Python_reticulatus:0.05110824):0.05329578,((((Morelia_bredli:0.03524291,Morelia_spilota:0.0308012):0.02868422,(Morelia_oenpelliensis:0.0754284,((Morelia_amethistina:0.02502096,(Morelia_clastolepis:0.007619496,(Morelia_kinghorni:0.00782635,Morelia_nauta:0.006335583):0.002912933):0.02746534):0.01734855,Morelia_tracyae:0.02524737):0.02578698):0.003275429):0.02849694,Morelia_boeleni:0.07492803):0.005232946,((((Morelia_viridisN:0.03856291,Morelia_v [...]
-tree 76 = (Candoia_aspera:0.4393047,(Loxocemus_bicolor:0.2542101,(((((((Antaresia_maculosa:0.06741466,((Antaresia_childreni:0.0330332,Antaresia_stimsoni:0.01454498):0.05188499,Antaresia_perthensis:0.0586203):0.01222515):0.008918908,(Morelia_carinata:0.06125037,(Morelia_viridisS:0.06262673,Morelia_viridisN:0.03160418):0.01678727):0.01154299):0.01559785,((Antaresia_ramsayi:0.02670876,Antaresia_melanocephalus:0.0420795):0.05122368,((Liasis_fuscus:0.02065444,Liasis_mackloti:0.009335938):0.04 [...]
-tree 77 = (((((Python_timoriensis:0.08782096,Python_reticulatus:0.07040678):0.05833417,(((((Morelia_viridisN:0.03720383,Morelia_viridisS:0.05117086):0.02595,Morelia_carinata:0.07158621):0.01271671,((Antaresia_perthensis:0.07707314,(Antaresia_stimsoni:0.01530133,Antaresia_childreni:0.02824286):0.03871629):0.008834431,Antaresia_maculosa:0.08010591):0.009361026):0.01831402,((Morelia_bredli:0.03099292,Morelia_spilota:0.02404462):0.03387775,((((Morelia_nauta:0.005260173,(Morelia_kinghorni:0.0 [...]
-tree 78 = (Candoia_aspera:0.4009131,((((Python_curtus:0.0869089,(Python_sebae:0.06311244,Python_molurus:0.04755661):0.01261219):0.02842917,Python_regius:0.09876378):0.03739969,(((((Liasis_albertisii:0.05324242,Bothrochilus_boa:0.06904211):0.02380102,(Antaresia_ramsayi:0.01610698,Antaresia_melanocephalus:0.04963503):0.06369576):0.001914608,(Apodora_papuana:0.05942414,((Liasis_fuscus:0.02549272,Liasis_mackloti:0.01196099):0.04490971,Liasis_olivaceus:0.03668288):0.01814909):0.0184324):0.001 [...]
-tree 79 = (((((Python_timoriensis:0.07553944,Python_reticulatus:0.07115621):0.07381626,(((((Morelia_oenpelliensis:0.06551793,(Morelia_amethistina:0.03619238,(Morelia_tracyae:0.05018406,(Morelia_clastolepis:0.002661674,(Morelia_kinghorni:0.01704692,Morelia_nauta:0.009792482):0.004593366):0.01308924):0.00478429):0.02824213):0.006003933,(Morelia_bredli:0.02129453,Morelia_spilota:0.03007546):0.03782753):0.02679029,Morelia_boeleni:0.06715453):0.0118746,(((Antaresia_melanocephalus:0.03496582,A [...]
-tree 80 = (((((Python_timoriensis:0.05253829,Python_reticulatus:0.08561018):0.06208115,(((Morelia_boeleni:0.09228959,((((Morelia_amethistina:0.02455933,(Morelia_nauta:0.002681559,(Morelia_kinghorni:0.008246165,Morelia_clastolepis:0.009838868):0.004629327):0.00972198):0.001301648,Morelia_tracyae:0.03946081):0.03981529,Morelia_oenpelliensis:0.05633571):0.0032127,(Morelia_bredli:0.02654698,Morelia_spilota:0.02108595):0.03328877):0.01067315):0.01415516,((((Liasis_olivaceus:0.04525111,Apodora [...]
-tree 81 = (Loxocemus_bicolor:0.2566853,(Candoia_aspera:0.4693582,(((((((Morelia_viridisN:0.03146441,Morelia_viridisS:0.05593448):0.0249236,Morelia_carinata:0.06224873):0.01552312,(Antaresia_maculosa:0.05616948,((Antaresia_stimsoni:0.01007809,Antaresia_childreni:0.03079328):0.03638529,Antaresia_perthensis:0.06970695):0.01042068):0.008149887):0.009665657,((Morelia_bredli:0.02544855,Morelia_spilota:0.02456336):0.02973036,(((Morelia_tracyae:0.03685517,(Morelia_clastolepis:0.002197272,(Moreli [...]
-tree 82 = ((((Python_regius:0.09520516,(Python_curtus:0.09522774,(Python_molurus:0.03950332,Python_sebae:0.05703805):0.02247388):0.02119926):0.03441932,((Python_timoriensis:0.06061827,Python_reticulatus:0.07481421):0.04666084,(((Morelia_boeleni:0.07246276,(((((Morelia_clastolepis:0.002509624,(Morelia_nauta:0.01384186,Morelia_kinghorni:0.009644053):0.007542425):0.009695616,Morelia_tracyae:0.02873899):0.008218219,Morelia_amethistina:0.02877):0.03316924,Morelia_oenpelliensis:0.05804569):0.0 [...]
-tree 83 = ((Loxocemus_bicolor:0.2952234,(((Python_curtus:0.09552038,(Python_molurus:0.03862383,Python_sebae:0.07267771):0.01718111):0.008183769,Python_regius:0.1364789):0.04738912,((Python_timoriensis:0.05761065,Python_reticulatus:0.0516746):0.06871581,((((((Liasis_fuscus:0.01480832,Liasis_mackloti:0.01183352):0.04883964,Liasis_olivaceus:0.0401242):0.0145517,Apodora_papuana:0.05118669):0.0195619,((Antaresia_melanocephalus:0.03374798,Antaresia_ramsayi:0.0376499):0.07148785,(Bothrochilus_b [...]
-tree 84 = (Candoia_aspera:0.5016068,((((Python_curtus:0.09427624,(Python_molurus:0.0227545,Python_sebae:0.09191553):0.01452091):0.0283426,Python_regius:0.107775):0.0194763,((((Morelia_carinata:0.07375593,(Morelia_viridisS:0.0482057,Morelia_viridisN:0.03770947):0.01584058):0.01271865,(Antaresia_maculosa:0.0710502,((Antaresia_childreni:0.01593182,Antaresia_stimsoni:0.01507543):0.03282155,Antaresia_perthensis:0.06500106):0.01194462):0.002767007):0.01885032,((((((Liasis_fuscus:0.02328425,Lia [...]
-tree 85 = ((Loxocemus_bicolor:0.2794339,((((Python_molurus:0.03312409,Python_sebae:0.07822667):0.02901692,Python_curtus:0.1018022):0.022905,Python_regius:0.1415919):0.05044797,((Python_timoriensis:0.06076838,Python_reticulatus:0.06819505):0.05838198,((((Morelia_bredli:0.03212745,Morelia_spilota:0.0331548):0.02415561,(((((Morelia_kinghorni:0.0102482,Morelia_nauta:0.008844634):0.002827055,Morelia_clastolepis:0.005156116):0.01969235,Morelia_amethistina:0.02046229):0.01034341,Morelia_tracyae [...]
-tree 86 = ((Loxocemus_bicolor:0.2683567,((Python_regius:0.1091685,((Python_molurus:0.03421631,Python_sebae:0.07909729):0.02669281,Python_curtus:0.1242822):0.01552606):0.03635674,(((((Antaresia_maculosa:0.05295493,(Antaresia_perthensis:0.07248801,(Antaresia_childreni:0.02284777,Antaresia_stimsoni:0.01413853):0.0379826):0.01342258):0.01068672,(Morelia_carinata:0.06262578,(Morelia_viridisS:0.04071067,Morelia_viridisN:0.03447906):0.01312935):0.01015363):0.01178044,((Antaresia_ramsayi:0.02418 [...]
-tree 87 = (Candoia_aspera:0.4835051,((((((Antaresia_maculosa:0.0667961,(Antaresia_perthensis:0.07352979,(Antaresia_childreni:0.01595269,Antaresia_stimsoni:0.01602515):0.0377149):0.01316477):0.007044655,(Morelia_carinata:0.06471191,(Morelia_viridisS:0.05813323,Morelia_viridisN:0.02882801):0.01819743):0.01237297):0.01222415,((Morelia_boeleni:0.1043827,((Antaresia_ramsayi:0.03185868,Antaresia_melanocephalus:0.05093386):0.06070819,((Liasis_albertisii:0.04981429,Bothrochilus_boa:0.07101304):0 [...]
-tree 88 = ((Candoia_aspera:0.3563804,Loxocemus_bicolor:0.2285549):0.05516094,((Python_regius:0.1174086,((Python_sebae:0.0852972,Python_molurus:0.04013307):0.02585051,Python_curtus:0.1126192):0.01456538):0.03825918,((((((Morelia_bredli:0.02760348,Morelia_spilota:0.02851919):0.03478335,((Morelia_amethistina:0.02163415,((Morelia_clastolepis:0.003876799,(Morelia_nauta:0.01234636,Morelia_kinghorni:0.00726198):0.00929985):0.02923753,Morelia_tracyae:0.04439396):0.004379334):0.0374095,Morelia_oe [...]
-tree 89 = (Candoia_aspera:0.4520071,(((Python_regius:0.1009007,(Python_curtus:0.09834139,(Python_sebae:0.0801233,Python_molurus:0.0414197):0.01531084):0.02265769):0.06058729,(((((Liasis_albertisii:0.04496162,Bothrochilus_boa:0.07014187):0.0258081,((Antaresia_melanocephalus:0.03625373,Antaresia_ramsayi:0.0349284):0.04496869,((Liasis_olivaceus:0.03381452,Apodora_papuana:0.06317617):0.01193837,(Liasis_fuscus:0.01998534,Liasis_mackloti:0.01399873):0.04608922):0.02671637):0.00873879):0.004700 [...]
-tree 90 = (Candoia_aspera:0.4645928,((((Python_curtus:0.1195643,(Python_molurus:0.03740045,Python_sebae:0.08232443):0.01678619):0.02534988,Python_regius:0.1532762):0.02461821,(((((((Antaresia_childreni:0.02600772,Antaresia_stimsoni:0.01458769):0.02653477,Antaresia_perthensis:0.06571443):0.01466257,Antaresia_maculosa:0.05789742):0.01238719,((Morelia_viridisS:0.04478665,Morelia_viridisN:0.03251355):0.02382011,Morelia_carinata:0.08176551):0.01515166):0.01923722,(((Antaresia_ramsayi:0.015595 [...]
-tree 91 = ((Candoia_aspera:0.4253582,Loxocemus_bicolor:0.287425):0.06440288,(((Python_curtus:0.09233986,(Python_molurus:0.03912399,Python_sebae:0.07176809):0.01470935):0.01220318,Python_regius:0.1215375):0.04595127,((Python_timoriensis:0.07923207,Python_reticulatus:0.07217266):0.06028461,(((((Morelia_oenpelliensis:0.05400092,(Morelia_tracyae:0.03579002,(Morelia_amethistina:0.02089989,((Morelia_clastolepis:0.004037098,Morelia_kinghorni:0.006879557):0.00439477,Morelia_nauta:0.009191494):0. [...]
-tree 92 = (Loxocemus_bicolor:0.3061242,((((((((Morelia_viridisS:0.0488484,Morelia_viridisN:0.02718428):0.03040546,Morelia_carinata:0.05363968):0.01366625,(((Antaresia_childreni:0.02372216,Antaresia_stimsoni:0.01250969):0.03749508,Antaresia_perthensis:0.05944827):0.009214165,Antaresia_maculosa:0.07487972):0.005791328):0.01428844,((((Liasis_olivaceus:0.03355395,Apodora_papuana:0.08493765):0.01773312,(Liasis_fuscus:0.01973323,Liasis_mackloti:0.01224162):0.04450705):0.02705612,(Antaresia_ram [...]
-tree 93 = (((((Python_curtus:0.1052608,(Python_molurus:0.03656474,Python_sebae:0.0804119):0.01736489):0.01981846,Python_regius:0.118569):0.04305073,((((((((Antaresia_stimsoni:0.01799286,Antaresia_childreni:0.02440719):0.03664232,Antaresia_perthensis:0.06835721):0.01030149,Antaresia_maculosa:0.07669343):0.008762603,(Morelia_carinata:0.05903126,(Morelia_viridisN:0.02314959,Morelia_viridisS:0.05217384):0.01633361):0.01580508):0.02360512,((Antaresia_melanocephalus:0.04446293,Antaresia_ramsay [...]
-tree 94 = ((((((((Antaresia_stimsoni:0.01394605,Antaresia_childreni:0.02307618):0.03469821,Antaresia_perthensis:0.07348681):0.006527661,Antaresia_maculosa:0.07308458):0.009157082,((Morelia_viridisN:0.03283968,Morelia_viridisS:0.04931701):0.03098315,Morelia_carinata:0.06247037):0.01365183):0.01322039,((((Apodora_papuana:0.06792187,((Liasis_fuscus:0.02949712,Liasis_mackloti:0.006633742):0.04612603,Liasis_olivaceus:0.04939289):0.0173581):0.01385641,(Antaresia_melanocephalus:0.0383219,Antare [...]
-tree 95 = ((((Python_regius:0.1106696,((Python_molurus:0.03080011,Python_sebae:0.08768923):0.01799399,Python_curtus:0.09582502):0.0237615):0.0327879,((Python_timoriensis:0.05730162,Python_reticulatus:0.05610117):0.05178376,(((Morelia_carinata:0.05950242,(Morelia_viridisN:0.03009795,Morelia_viridisS:0.04999991):0.02362724):0.02350348,(((Antaresia_stimsoni:0.01536701,Antaresia_childreni:0.02915634):0.02933886,Antaresia_perthensis:0.08195631):0.01110259,Antaresia_maculosa:0.05806133):0.0123 [...]
-tree 96 = (Candoia_aspera:0.4501354,(((Python_regius:0.1048399,(Python_curtus:0.106706,(Python_molurus:0.03471225,Python_sebae:0.07358986):0.02425296):0.02633883):0.04694233,(((((Morelia_bredli:0.03593233,Morelia_spilota:0.02438969):0.03173767,(((Morelia_tracyae:0.04654885,Morelia_amethistina:0.03659602):0.008259002,(Morelia_clastolepis:0.004036055,(Morelia_kinghorni:0.006595114,Morelia_nauta:0.006000134):0.007697233):0.007601145):0.03532755,Morelia_oenpelliensis:0.05754269):0.007221801) [...]
-tree 97 = (Candoia_aspera:0.4334181,(Loxocemus_bicolor:0.2483078,(((Python_curtus:0.09120633,(Python_sebae:0.06811592,Python_molurus:0.02124031):0.01523931):0.01271599,Python_regius:0.1235802):0.04444922,(((((Morelia_bredli:0.02647463,Morelia_spilota:0.02569939):0.03189336,((Morelia_tracyae:0.02969979,(Morelia_amethistina:0.03375546,(Morelia_clastolepis:0.00246764,(Morelia_nauta:0.004177599,Morelia_kinghorni:0.01005074):0.006947956):0.01479339):0.009535147):0.01780938,Morelia_oenpelliens [...]
-tree 98 = ((Candoia_aspera:0.5016151,Loxocemus_bicolor:0.2444724):0.03221846,((((((Morelia_viridisS:0.04729769,Morelia_viridisN:0.03434786):0.01883497,Morelia_carinata:0.08120721):0.01275832,(Antaresia_maculosa:0.07250472,((Antaresia_childreni:0.0364534,Antaresia_stimsoni:0.01815363):0.04449293,Antaresia_perthensis:0.06613409):0.01531379):0.007934725):0.01554437,(((Liasis_albertisii:0.05705392,Bothrochilus_boa:0.07101109):0.03851546,((Antaresia_ramsayi:0.03344109,Antaresia_melanocephalus [...]
-tree 99 = (((((Python_timoriensis:0.08109342,Python_reticulatus:0.0630196):0.0759962,(((((Morelia_viridisS:0.05289974,Morelia_viridisN:0.03362567):0.01717123,Morelia_carinata:0.06720496):0.01746322,(Antaresia_maculosa:0.07133522,(Antaresia_perthensis:0.0738161,(Antaresia_childreni:0.02466137,Antaresia_stimsoni:0.01100988):0.03619607):0.0128205):0.005775329):0.01917408,((Morelia_oenpelliensis:0.0642247,(Morelia_tracyae:0.03121744,(Morelia_amethistina:0.02118763,((Morelia_clastolepis:0.006 [...]
-tree 100 = ((Loxocemus_bicolor:0.3021923,(((((((((Morelia_tracyae:0.04026419,((Morelia_clastolepis:0.003650239,Morelia_kinghorni:0.008478112):0.007771618,Morelia_nauta:0.008646885):0.01688588):0.006949875,Morelia_amethistina:0.02684855):0.03323158,Morelia_oenpelliensis:0.06536625):0.004677463,(Morelia_bredli:0.03398565,Morelia_spilota:0.02089452):0.02877487):0.02051626,Morelia_boeleni:0.08799992):0.001944661,((Antaresia_maculosa:0.07478773,(Antaresia_perthensis:0.08661767,(Antaresia_stim [...]
-tree 101 = (Candoia_aspera:0.5519415,(((Python_regius:0.1273714,(Python_curtus:0.1089187,(Python_molurus:0.03695303,Python_sebae:0.07848258):0.02253384):0.02297084):0.06241567,((((((Liasis_fuscus:0.01357072,Liasis_mackloti:0.01388168):0.04841025,Liasis_olivaceus:0.04581289):0.003137857,Apodora_papuana:0.06201379):0.0147125,(Antaresia_ramsayi:0.02819799,Antaresia_melanocephalus:0.03866448):0.05030802):0.006126414,(((((Morelia_clastolepis:0.01366347,(Morelia_kinghorni:0.004410157,Morelia_n [...]
-End;
-
-[Total of 101 trees sourced from:]
-[ ../mb/pythonidae.mb.run4.t: 1001 trees in file, sampling 1 tree of every 10 trees after 0 tree burn-in: 101 trees added (current total = 101 trees) ]
diff --git a/doc/source/examples/pythonidae.mcmc-con.nex b/doc/source/examples/pythonidae.mcmc-con.nex
deleted file mode 100644
index b680669..0000000
--- a/doc/source/examples/pythonidae.mcmc-con.nex
+++ /dev/null
@@ -1,13 +0,0 @@
-#NEXUS
-
-[ID: 0344228063]
-begin trees;
-   [Note: This tree contains information on the topology, 
-          branch lengths (if present), and the probability
-          of the partition indicated by the branch.]
-   tree con_50_majrule = (Python_regius:0.212275,(Python_sebae:0.176816,((((((Antaresia_maculosa:0.127351,(Antaresia_perthensis:0.108378,(Antaresia_stimsoni:0.021372,Antaresia_childreni:0.038155)1.00:0.046446)1.00:0.025262)0.94:0.012957,(Morelia_carinata:0.101145,(Morelia_bredli:0.038563,Morelia_spilota:0.025643)1.00:0.050967)0.52:0.010472,Morelia_viridis:0.098541)0.98:0.023291,(Bothrochilus_boa:0.091928,Leiopython_albertisii:0.080986)1.00:0.031583)0.54:0.008347,(((Liasis_fuscus:0.026601 [...]
-
-   [Note: This tree contains information only on the topology
-          and branch lengths (mean of the posterior probability density).]
-   tree con_50_majrule = (Python_regius:0.212275,(Python_sebae:0.176816,((((((Antaresia_maculosa:0.127351,(Antaresia_perthensis:0.108378,(Antaresia_stimsoni:0.021372,Antaresia_childreni:0.038155):0.046446):0.025262):0.012957,(Morelia_carinata:0.101145,(Morelia_bredli:0.038563,Morelia_spilota:0.025643):0.050967):0.010472,Morelia_viridis:0.098541):0.023291,(Bothrochilus_boa:0.091928,Leiopython_albertisii:0.080986):0.031583):0.008347,(((Liasis_fuscus:0.026601,Liasis_mackloti:0.034524):0.069 [...]
-end;
diff --git a/doc/source/examples/pythonidae.mcmc.nex b/doc/source/examples/pythonidae.mcmc.nex
deleted file mode 100644
index 5e0911c..0000000
--- a/doc/source/examples/pythonidae.mcmc.nex
+++ /dev/null
@@ -1,1035 +0,0 @@
-#NEXUS
-[ID: 0344228063]
-begin trees;
-   translate
-       1 Python_regius,
-       2 Python_sebae,
-       3 Python_brongersmai,
-       4 Antaresia_maculosa,
-       5 Python_timoriensis,
-       6 Python_molurus,
-       7 Morelia_carinata,
-       8 Morelia_boeleni,
-       9 Antaresia_perthensis,
-      10 Morelia_viridis,
-      11 Aspidites_ramsayi,
-      12 Aspidites_melanocephalus,
-      13 Morelia_oenpelliensis,
-      14 Bothrochilus_boa,
-      15 Morelia_bredli,
-      16 Morelia_spilota,
-      17 Antaresia_stimsoni,
-      18 Antaresia_childreni,
-      19 Leiopython_albertisii,
-      20 Python_reticulatus,
-      21 Morelia_tracyae,
-      22 Morelia_amethistina,
-      23 Morelia_nauta,
-      24 Morelia_kinghorni,
-      25 Morelia_clastolepis,
-      26 Liasis_fuscus,
-      27 Liasis_mackloti,
-      28 Liasis_olivaceus,
-      29 Apodora_papuana;
-   tree rep.1 = (((((((((((14:0.100000,((22:0.100000,6:0.100000):0.100000,9:0.100000):0.100000):0.100000,5:0.100000):0.100000,29:0.100000):0.100000,(13:0.100000,4:0.100000):0.100000):0.100000,3:0.100000):0.100000,(19:0.100000,(((28:0.100000,8:0.100000):0.100000,12:0.100000):0.100000,10:0.100000):0.100000):0.100000):0.100000,(24:0.100000,7:0.100000):0.100000):0.100000,26:0.100000):0.100000,(((2:0.100000,20:0.100000):0.100000,18:0.100000):0.100000,23:0.100000):0.100000):0.100000,(21:0.1000 [...]
-   tree rep.20000 = ((6:0.066242,3:0.164950):0.011796,((((((((23:0.024624,24:0.012317):0.016090,25:0.003155):0.027805,22:0.032444):0.015881,21:0.042692):0.038357,8:0.093709):0.020549,((((10:0.092033,(((9:0.082520,(18:0.021861,17:0.030731):0.048695):0.016093,4:0.132174):0.016746,((16:0.025021,15:0.035369):0.048370,7:0.099389):0.019761):0.004791):0.029715,(14:0.077826,19:0.106430):0.027724):0.000845,((29:0.094915,(28:0.040298,(26:0.013435,27:0.026653):0.071847):0.024954):0.006012,(5:0.1106 [...]
-   tree rep.40000 = ((2:0.156766,(((((((25:0.007356,(23:0.006374,24:0.009580):0.009185):0.053165,22:0.035049):0.008131,21:0.043555):0.028292,8:0.077070):0.022144,13:0.074105):0.021492,((5:0.103388,20:0.100425):0.056701,(((((4:0.141057,(9:0.087752,(18:0.039802,17:0.022170):0.051033):0.014415):0.012186,((16:0.023133,15:0.034100):0.062244,7:0.093082):0.001932):0.002272,10:0.093117):0.008672,(14:0.092998,19:0.070189):0.029011):0.012604,(29:0.077475,(28:0.039202,(26:0.019990,27:0.032452):0.08 [...]
-   tree rep.60000 = (6:0.087544,((((11:0.025398,12:0.067735):0.051889,(((13:0.120279,(20:0.083649,5:0.126364):0.080529):0.007576,(8:0.081935,(21:0.046429,(22:0.021868,((24:0.016309,23:0.006618):0.005431,25:0.010977):0.023079):0.021088):0.013159):0.022275):0.011375,(((19:0.096361,14:0.073823):0.047752,(7:0.096241,(10:0.106092,((15:0.046037,16:0.016857):0.067951,(((17:0.016344,18:0.038834):0.033284,9:0.162219):0.031977,4:0.107652):0.004203):0.002284):0.007753):0.008682):0.021166,(29:0.0878 [...]
-   tree rep.80000 = ((((11:0.038378,12:0.058712):0.052677,((((20:0.146964,5:0.104805):0.080444,((21:0.035776,(22:0.032316,(25:0.005197,(23:0.006689,24:0.009212):0.009990):0.023886):0.024226):0.031773,8:0.101339):0.003138):0.000195,13:0.096892):0.019476,((((27:0.058796,26:0.010477):0.055104,28:0.042831):0.027888,29:0.075590):0.020668,((19:0.077888,14:0.087141):0.007524,(7:0.100940,(((15:0.036428,16:0.015059):0.065667,((9:0.091994,(17:0.018873,18:0.040516):0.040931):0.030215,4:0.143200):0. [...]
-   tree rep.100000 = (((((11:0.032553,12:0.059714):0.059121,(((((27:0.045437,26:0.014253):0.059063,28:0.053902):0.023804,29:0.084789):0.019326,((7:0.119620,(((4:0.122284,(9:0.094358,(17:0.026884,18:0.028133):0.062666):0.023835):0.004876,10:0.109429):0.001965,(15:0.032295,16:0.025799):0.041995):0.005608):0.029921,(19:0.056328,14:0.098134):0.035393):0.011682):0.013442,((((((23:0.014767,24:0.009067):0.003148,25:0.010787):0.028381,22:0.023380):0.016466,21:0.045603):0.021974,8:0.098244):0.019 [...]
-   tree rep.120000 = (3:0.133378,(6:0.103237,(2:0.156479,(((((20:0.071555,5:0.107144):0.058197,13:0.066838):0.014620,(8:0.109436,(((25:0.009829,(24:0.009454,23:0.009614):0.009466):0.012624,22:0.036312):0.019345,21:0.068710):0.028961):0.033051):0.012899,(((14:0.094880,19:0.066591):0.053403,((((18:0.030974,17:0.033525):0.039525,9:0.088811):0.012548,4:0.125078):0.019271,(((15:0.037198,16:0.030946):0.038329,7:0.101189):0.001550,10:0.086028):0.003755):0.025105):0.003342,(29:0.118019,((27:0.03 [...]
-   tree rep.140000 = (3:0.115251,(6:0.093083,(2:0.199799,((12:0.070041,11:0.031675):0.041867,(((8:0.087981,(21:0.039451,((25:0.014768,(24:0.017794,23:0.013078):0.005106):0.025318,22:0.034334):0.016130):0.040811):0.038971,((29:0.102852,(28:0.038674,(26:0.042713,27:0.040491):0.067797):0.027906):0.005400,(((7:0.066430,(5:0.110463,20:0.080290):0.070874):0.035758,((10:0.087483,(16:0.025993,15:0.037533):0.037780):0.000779,((9:0.107437,(18:0.046426,17:0.024178):0.045079):0.043162,4:0.112734):0. [...]
-   tree rep.160000 = ((2:0.162445,((11:0.023406,12:0.078201):0.047812,((13:0.078235,((21:0.035882,(22:0.024192,((24:0.008695,23:0.011262):0.006407,25:0.011246):0.021368):0.017300):0.020042,8:0.101499):0.012961):0.001593,(((19:0.063372,14:0.094855):0.033147,((5:0.139547,20:0.070146):0.086217,((((16:0.031473,15:0.027645):0.043013,7:0.093368):0.009385,10:0.069786):0.007080,(4:0.105749,((18:0.031231,17:0.014916):0.048466,9:0.097602):0.023718):0.013501):0.030685):0.003705):0.005511,(29:0.1048 [...]
-   tree rep.180000 = (((((11:0.036306,12:0.125277):0.040802,((((19:0.076161,14:0.085402):0.041938,(((7:0.104681,(15:0.046343,16:0.020058):0.032550):0.014708,(((17:0.033986,18:0.038097):0.052182,9:0.099732):0.024399,4:0.120885):0.007330):0.008928,10:0.106584):0.019722):0.001206,(29:0.119861,((27:0.055971,26:0.024069):0.062695,28:0.056427):0.031985):0.011853):0.003903,(((((25:0.004093,(24:0.010450,23:0.019540):0.008672):0.009136,22:0.046464):0.043936,21:0.028645):0.034011,8:0.133715):0.037 [...]
-   tree rep.200000 = ((((12:0.091882,11:0.018945):0.064978,(((29:0.070282,((26:0.020934,27:0.033646):0.060574,28:0.068032):0.024759):0.030816,((7:0.096897,(10:0.083818,((16:0.015991,15:0.044456):0.082663,(4:0.107987,(9:0.132207,(18:0.052303,17:0.020907):0.043901):0.019891):0.012545):0.001877):0.010896):0.018368,(14:0.113230,19:0.068727):0.023463):0.003625):0.023145,((8:0.089425,(((25:0.006184,(24:0.011516,23:0.005965):0.004166):0.033560,22:0.034933):0.015651,21:0.030684):0.057262):0.0142 [...]
-   tree rep.220000 = (((((20:0.092398,5:0.096801):0.099477,((((21:0.054423,(22:0.034713,((23:0.016325,24:0.011948):0.020165,25:0.001339):0.024767):0.019288):0.040695,8:0.118017):0.024524,(((((15:0.050016,16:0.026010):0.052242,(10:0.100138,7:0.123147):0.013631):0.002664,(4:0.106282,((18:0.049794,17:0.026242):0.059687,9:0.089050):0.017469):0.003170):0.023720,(14:0.086932,19:0.100777):0.031222):0.001476,(29:0.094961,((27:0.031210,26:0.039721):0.065917,28:0.041315):0.024683):0.010741):0.0149 [...]
-   tree rep.240000 = (3:0.127963,(6:0.114169,((((20:0.081608,5:0.102154):0.086161,((13:0.079038,((29:0.106681,(28:0.038765,(27:0.037469,26:0.033306):0.072767):0.021642):0.003397,((14:0.093724,19:0.098293):0.044330,((((15:0.034152,16:0.018713):0.050381,7:0.086029):0.006483,10:0.099186):0.003022,(4:0.143670,((18:0.052550,17:0.030845):0.064398,9:0.105283):0.023843):0.003299):0.023680):0.004262):0.010121):0.003192,((21:0.031183,(((24:0.016591,23:0.006491):0.005068,25:0.007603):0.017110,22:0. [...]
-   tree rep.260000 = (((((12:0.079467,11:0.031992):0.059879,((((14:0.090943,19:0.082250):0.028405,(7:0.097020,((((9:0.134867,(18:0.035038,17:0.021354):0.057394):0.023856,4:0.138457):0.012068,(16:0.035331,15:0.024601):0.057995):0.001822,10:0.092626):0.027787):0.018629):0.000089,((28:0.047609,(26:0.033069,27:0.024366):0.088182):0.015294,29:0.121131):0.033635):0.005770,((5:0.159578,20:0.075151):0.089908,(13:0.097538,(8:0.098020,(21:0.039361,(22:0.035769,((23:0.005923,24:0.009694):0.002434,2 [...]
-   tree rep.280000 = (6:0.064674,((2:0.140332,((12:0.061720,11:0.029913):0.069023,((((5:0.088341,20:0.070670):0.087732,(((22:0.033887,(25:0.006936,(23:0.005719,24:0.011723):0.003023):0.018374):0.006656,21:0.031491):0.024020,8:0.087635):0.017082):0.000346,13:0.070500):0.003575,((((26:0.022377,27:0.045309):0.055706,28:0.043330):0.024093,29:0.087036):0.000732,((14:0.083428,19:0.067606):0.011356,(((((18:0.039845,17:0.023187):0.051378,9:0.082422):0.043093,4:0.136748):0.014051,((16:0.016019,15 [...]
-   tree rep.300000 = (((6:0.107793,3:0.122173):0.008786,((12:0.057621,11:0.026143):0.033211,(((((((23:0.011336,25:0.010016):0.003296,24:0.015145):0.023620,22:0.049514):0.032798,21:0.045835):0.030294,8:0.084696):0.033141,((20:0.102934,5:0.079042):0.106620,13:0.088779):0.006746):0.001026,((((((15:0.039735,16:0.023041):0.049682,(((18:0.036827,17:0.030360):0.032671,9:0.095226):0.032777,4:0.117850):0.011220):0.016476,10:0.098037):0.016351,7:0.079656):0.009369,(14:0.086953,19:0.086886):0.04372 [...]
-   tree rep.320000 = ((6:0.109370,3:0.132079):0.001809,(2:0.207706,((((20:0.117807,5:0.080901):0.080200,13:0.076291):0.002647,((((14:0.085517,19:0.076941):0.034881,(7:0.100367,(((15:0.049910,16:0.007830):0.072859,10:0.110245):0.001829,(((17:0.025151,18:0.033563):0.061119,9:0.096304):0.035663,4:0.196790):0.008530):0.005568):0.027995):0.010697,((28:0.033861,(27:0.029351,26:0.028996):0.085989):0.021810,29:0.103881):0.026547):0.015077,((21:0.036502,(((23:0.006268,24:0.014905):0.007028,25:0.0 [...]
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-   tree rep.19580000 = (((2:0.227890,((11:0.037864,12:0.068924):0.039505,((((28:0.039266,(26:0.033650,27:0.028976):0.063779):0.028795,29:0.079625):0.018550,((((10:0.095372,(16:0.028943,15:0.029727):0.064730):0.012070,((9:0.136714,(18:0.038647,17:0.020744):0.022376):0.018835,4:0.102197):0.018379):0.009088,7:0.092531):0.011924,(14:0.099319,19:0.067490):0.025646):0.010548):0.006494,((8:0.147757,(21:0.036499,(22:0.032687,((24:0.005283,23:0.015571):0.001552,25:0.002936):0.024153):0.013400):0. [...]
-   tree rep.19600000 = ((3:0.130712,6:0.072771):0.018858,(2:0.191002,((11:0.032169,12:0.051806):0.051572,((((29:0.090185,(28:0.053634,(26:0.037162,27:0.025876):0.048578):0.026218):0.000561,(((((16:0.034864,15:0.028035):0.064931,(4:0.125277,(9:0.109245,(18:0.028502,17:0.018463):0.033420):0.020062):0.006106):0.004824,10:0.103122):0.006228,7:0.093355):0.024348,(14:0.075374,19:0.090240):0.017766):0.003505):0.007584,(5:0.092358,20:0.134866):0.083042):0.001527,(13:0.072528,(8:0.118649,((22:0.0 [...]
-   tree rep.19620000 = (6:0.102109,((((12:0.054208,11:0.027398):0.035347,((((8:0.115101,(21:0.027839,(22:0.021167,((23:0.013207,24:0.012715):0.007609,25:0.008595):0.025608):0.018337):0.016480):0.007507,13:0.076275):0.002011,(20:0.079695,5:0.091311):0.105420):0.004298,((29:0.071625,((27:0.044396,26:0.022807):0.060208,28:0.027995):0.020839):0.016862,(((7:0.067761,(15:0.019610,16:0.026102):0.039361):0.016352,(10:0.093860,(4:0.113739,(9:0.091994,(18:0.042255,17:0.013533):0.046017):0.011936): [...]
-   tree rep.19640000 = (6:0.113406,((((12:0.055592,11:0.019016):0.040865,((((((27:0.024912,26:0.027427):0.060219,28:0.053429):0.024421,29:0.102748):0.005037,((19:0.090043,14:0.109634):0.029122,((((9:0.115475,(18:0.054287,17:0.016373):0.026995):0.049807,4:0.111202):0.014719,(7:0.089206,(15:0.033672,16:0.030876):0.044110):0.009164):0.005716,10:0.088259):0.013234):0.005698):0.010812,((20:0.083782,5:0.079140):0.066136,13:0.111407):0.002486):0.001518,(8:0.095607,((22:0.023722,(25:0.003456,(23 [...]
-   tree rep.19660000 = ((3:0.164244,6:0.074894):0.004168,(((((((14:0.079407,19:0.154521):0.032970,((28:0.057707,(26:0.028807,27:0.048709):0.066939):0.027252,29:0.105162):0.029443):0.000254,((5:0.092386,20:0.093892):0.117729,((((16:0.035254,15:0.026164):0.054993,(4:0.130113,(9:0.116899,(18:0.041073,17:0.031297):0.053728):0.024750):0.021558):0.014554,10:0.125699):0.010147,7:0.166653):0.024490):0.007837):0.007381,13:0.124747):0.003654,(((21:0.070267,22:0.026684):0.005842,((23:0.011392,24:0. [...]
-   tree rep.19680000 = ((3:0.170232,6:0.067003):0.001340,(((((((14:0.121789,19:0.070658):0.041439,(5:0.074704,20:0.110574):0.100968):0.002807,((28:0.047110,(26:0.028926,27:0.035019):0.063669):0.032789,29:0.111211):0.010212):0.003912,((10:0.092488,(7:0.081851,(16:0.025147,15:0.036126):0.050709):0.008671):0.003949,((9:0.107019,(18:0.024184,17:0.020398):0.046129):0.011067,4:0.117806):0.010818):0.034234):0.001872,(13:0.116431,((21:0.058245,(22:0.023287,(25:0.019068,(24:0.011182,23:0.009566): [...]
-   tree rep.19700000 = ((3:0.132076,6:0.098843):0.000603,(2:0.178457,((((5:0.118799,20:0.085556):0.088181,((19:0.093408,14:0.108984):0.028188,((29:0.150322,(28:0.070189,(26:0.033898,27:0.031254):0.055206):0.020799):0.015564,(7:0.108204,(10:0.078252,((16:0.015358,15:0.048753):0.074291,(4:0.115752,((18:0.031464,17:0.011866):0.047637,9:0.136362):0.017413):0.013580):0.001229):0.012593):0.029092):0.003972):0.013605):0.010320,(13:0.098499,((21:0.054494,(22:0.026534,((24:0.011131,23:0.006619):0 [...]
-   tree rep.19720000 = (6:0.065968,(3:0.137485,(2:0.225200,(((((5:0.099717,20:0.113906):0.126202,13:0.117179):0.000065,(8:0.142378,(21:0.072854,(((23:0.010933,24:0.015554):0.001199,25:0.009847):0.034015,22:0.049364):0.007093):0.028421):0.011464):0.012680,(((((16:0.014975,15:0.038027):0.042001,7:0.123481):0.015087,(4:0.167660,((18:0.050253,17:0.015898):0.060892,9:0.109310):0.010344):0.019874):0.002920,10:0.097079):0.026817,((28:0.053398,(26:0.024932,27:0.028267):0.063917):0.024343,(29:0.0 [...]
-   tree rep.19740000 = (3:0.154972,(6:0.072623,(2:0.238110,((11:0.007035,12:0.072514):0.082829,((((28:0.039121,(27:0.036218,26:0.027544):0.073669):0.036019,29:0.079945):0.007863,((14:0.087189,19:0.066570):0.028774,((4:0.117651,((17:0.021378,18:0.047036):0.056185,9:0.088277):0.035015):0.007461,(10:0.092022,((15:0.037991,16:0.031200):0.054371,7:0.128496):0.009166):0.000196):0.013324):0.004884):0.013502,(((20:0.086572,5:0.085691):0.108644,13:0.093505):0.002487,((((25:0.001841,(24:0.008945,2 [...]
-   tree rep.19760000 = ((((((21:0.063578,(22:0.015478,((24:0.013214,23:0.012965):0.008677,25:0.008726):0.044504):0.019285):0.066722,8:0.065529):0.021895,((13:0.084648,(20:0.082862,5:0.097265):0.131155):0.001820,((29:0.112358,((27:0.035871,26:0.038787):0.049476,28:0.049102):0.034162):0.001780,((19:0.081259,14:0.101918):0.013084,(7:0.122598,((10:0.083534,(15:0.042718,16:0.019012):0.056250):0.000141,(4:0.132858,(9:0.103992,(18:0.047083,17:0.016006):0.034589):0.023480):0.011632):0.008620):0. [...]
-   tree rep.19780000 = ((6:0.098733,3:0.158336):0.005766,(((11:0.029982,12:0.072652):0.051839,(((10:0.120878,(((15:0.041011,16:0.034542):0.075400,7:0.115875):0.013307,(4:0.175451,((17:0.027414,18:0.030564):0.031457,9:0.084385):0.019963):0.002483):0.011651):0.022240,(((14:0.073112,19:0.084422):0.032452,29:0.102859):0.004062,((27:0.032439,26:0.034889):0.066190,28:0.035375):0.037143):0.011651):0.011167,(((21:0.047792,(((23:0.011105,24:0.013813):0.004021,25:0.008626):0.021132,22:0.027764):0. [...]
-   tree rep.19800000 = ((6:0.107774,3:0.126741):0.000741,(2:0.155895,((11:0.043249,12:0.051927):0.046271,((((20:0.082461,5:0.131113):0.068899,13:0.100867):0.002352,(((14:0.098401,19:0.064597):0.022330,(((10:0.080004,(15:0.054086,16:0.027833):0.062861):0.007452,(((17:0.020065,18:0.024206):0.059190,9:0.104900):0.031374,4:0.125147):0.012514):0.010173,7:0.105102):0.014857):0.015316,(((27:0.034584,26:0.015569):0.059681,28:0.070947):0.007654,29:0.086641):0.011042):0.007338):0.009386,(8:0.07685 [...]
-   tree rep.19820000 = ((2:0.184174,((11:0.039982,12:0.071834):0.063156,((13:0.096876,((5:0.077847,20:0.069966):0.113127,(((((23:0.017797,24:0.015329):0.011704,25:0.013091):0.025729,22:0.032639):0.014262,21:0.040812):0.062971,8:0.099488):0.023522):0.001185):0.009149,((19:0.090088,14:0.077536):0.041042,(((((16:0.020446,15:0.040918):0.060875,(4:0.109632,((18:0.040513,17:0.031185):0.052378,9:0.103529):0.029252):0.019125):0.013238,7:0.093806):0.025934,10:0.083653):0.014278,(29:0.079743,(28:0 [...]
-   tree rep.19840000 = ((2:0.156238,((11:0.035947,12:0.054271):0.038099,((13:0.085111,(5:0.086248,20:0.089848):0.099658):0.005874,(((((25:0.007124,(24:0.009923,23:0.005507):0.004432):0.035131,22:0.041504):0.019533,21:0.032226):0.023493,8:0.079305):0.023674,((29:0.078360,(19:0.064486,14:0.087347):0.052150):0.001129,(((4:0.140880,((18:0.033730,17:0.018793):0.049077,9:0.084477):0.022793):0.016181,(10:0.107058,((16:0.032346,15:0.041181):0.047890,7:0.116088):0.009595):0.005257):0.026645,(28:0 [...]
-   tree rep.19860000 = (((((11:0.021065,12:0.069172):0.048918,(((21:0.046047,(22:0.018788,(25:0.014605,(24:0.014500,23:0.009461):0.013016):0.017693):0.014546):0.047656,8:0.108635):0.018706,(((((19:0.067307,14:0.104001):0.022314,((4:0.138820,((18:0.032320,17:0.026741):0.044149,9:0.120210):0.029164):0.004884,(((16:0.022803,15:0.046672):0.039275,7:0.103517):0.007160,10:0.103575):0.002356):0.025634):0.004153,(29:0.118052,((26:0.026055,27:0.037914):0.067533,28:0.042935):0.013823):0.013749):0. [...]
-   tree rep.19880000 = (((((12:0.080885,11:0.013898):0.075646,(((20:0.117436,5:0.098906):0.080537,(((((27:0.029175,26:0.034605):0.068369,28:0.049482):0.046915,29:0.120597):0.003442,(19:0.105957,14:0.121231):0.049369):0.011185,(((10:0.117165,(4:0.181018,(9:0.130678,(18:0.028228,17:0.039252):0.035735):0.034338):0.010262):0.000672,(15:0.038004,16:0.036116):0.062220):0.022399,7:0.086083):0.023864):0.007014):0.007213,(13:0.092433,((21:0.051568,((23:0.010067,(24:0.007569,25:0.012795):0.002427) [...]
-   tree rep.19900000 = ((2:0.149163,(((((19:0.063758,14:0.080982):0.039506,((28:0.049483,(27:0.025819,26:0.026432):0.086003):0.022793,29:0.078973):0.016985):0.014992,((8:0.085721,(21:0.040836,(22:0.026660,(25:0.002427,(23:0.009556,24:0.007697):0.009474):0.016124):0.025466):0.041044):0.030045,((20:0.103862,5:0.111923):0.086406,13:0.083957):0.003330):0.003673):0.002271,(10:0.069669,((7:0.085474,(15:0.039397,16:0.013436):0.053955):0.007129,(((17:0.014281,18:0.045933):0.051703,9:0.128454):0. [...]
-   tree rep.19920000 = ((2:0.179436,((12:0.070377,11:0.027321):0.047338,((8:0.059816,(((25:0.010098,(23:0.004214,24:0.012710):0.008582):0.020429,22:0.027993):0.010838,21:0.058277):0.024841):0.049917,((((19:0.090803,14:0.091839):0.023423,(7:0.085044,(10:0.071106,((((18:0.040107,17:0.019611):0.056858,9:0.087613):0.017433,4:0.089782):0.019272,(15:0.040529,16:0.023402):0.069883):0.006377):0.019070):0.022833):0.012662,(29:0.115165,((27:0.033027,26:0.029419):0.055265,28:0.036292):0.014321):0.0 [...]
-   tree rep.19940000 = (6:0.079201,(3:0.120628,(2:0.214353,((12:0.069711,11:0.037292):0.045117,(((13:0.149856,(20:0.103151,5:0.110272):0.089795):0.007314,(8:0.125497,(21:0.061594,((25:0.011028,(24:0.007214,23:0.008326):0.012906):0.025799,22:0.048953):0.023291):0.017009):0.022904):0.007304,(((27:0.050113,26:0.035024):0.073182,28:0.056720):0.022636,(((19:0.064069,14:0.085149):0.019665,29:0.099249):0.019315,((((15:0.034876,16:0.047711):0.071988,10:0.096750):0.002412,(((18:0.027059,17:0.0250 [...]
-   tree rep.19960000 = ((((12:0.060794,11:0.033659):0.027547,((5:0.138697,20:0.084665):0.112616,(((29:0.087806,(28:0.027607,(26:0.020261,27:0.036656):0.059056):0.036056):0.020689,((10:0.092977,((((18:0.051240,17:0.042850):0.058051,9:0.119432):0.025584,4:0.146860):0.003069,(7:0.094007,(16:0.037552,15:0.024831):0.058028):0.008260):0.001903):0.033482,(19:0.091035,14:0.104037):0.008081):0.008708):0.011234,(13:0.072220,((21:0.027669,((25:0.006294,(24:0.006126,23:0.009778):0.013359):0.031632,2 [...]
-   tree rep.19980000 = ((6:0.077440,3:0.129200):0.024683,(((((((19:0.076669,14:0.094268):0.042734,((((15:0.033461,16:0.022818):0.046899,(((17:0.014933,18:0.036161):0.039299,9:0.120072):0.035065,4:0.116107):0.008422):0.001115,10:0.099222):0.011995,7:0.067431):0.012274):0.007834,(29:0.086585,((27:0.040461,26:0.025743):0.086865,28:0.046135):0.029269):0.002877):0.016571,(20:0.087191,5:0.085727):0.074135):0.008042,(13:0.091054,(8:0.122022,((22:0.035040,((23:0.005229,24:0.012051):0.002720,25:0 [...]
-   tree rep.20000000 = ((((12:0.051965,11:0.032413):0.016147,((13:0.093697,(8:0.066742,(21:0.037929,((25:0.008367,(24:0.006328,23:0.003276):0.005185):0.010758,22:0.042690):0.016283):0.028262):0.011734):0.005941,((20:0.077149,5:0.125902):0.096643,((((27:0.036265,26:0.019580):0.076233,28:0.039385):0.025821,29:0.067186):0.014647,((7:0.135274,(((4:0.125846,((18:0.039436,17:0.020257):0.022057,9:0.128686):0.029392):0.033122,(15:0.035315,16:0.017169):0.050937):0.000439,10:0.094141):0.002143):0. [...]
-end;
diff --git a/doc/source/examples/pythonidae.mle.nex b/doc/source/examples/pythonidae.mle.nex
deleted file mode 100644
index ae41727..0000000
--- a/doc/source/examples/pythonidae.mle.nex
+++ /dev/null
@@ -1,46 +0,0 @@
-#NEXUS
-
-
-BEGIN TAXA;
-    DIMENSIONS NTAX=33;
-    TAXLABELS
-        Python_regius
-        Python_sebae
-        Python_molurus
-        Python_curtus
-        Morelia_bredli
-        Morelia_spilota
-        Morelia_tracyae
-        Morelia_clastolepis
-        Morelia_kinghorni
-        Morelia_nauta
-        Morelia_amethistina
-        Morelia_oenpelliensis
-        Antaresia_maculosa
-        Antaresia_perthensis
-        Antaresia_stimsoni
-        Antaresia_childreni
-        Morelia_carinata
-        Morelia_viridisN
-        Morelia_viridisS
-        Apodora_papuana
-        Liasis_olivaceus
-        Liasis_fuscus
-        Liasis_mackloti
-        Antaresia_melanocephalus
-        Antaresia_ramsayi
-        Liasis_albertisii
-        Bothrochilus_boa
-        Morelia_boeleni
-        Python_timoriensis
-        Python_reticulatus
-        Xenopeltis_unicolor
-        Candoia_aspera
-        Loxocemus_bicolor
-  ;
-END;
-
-BEGIN TREES;
-    TREE 0 = [&U] (((Python_regius:0.1058922755,((Python_sebae:0.0629755585,Python_molurus:0.0335903967):0.02165,Python_curtus:0.1067094932):0.016163):0.032743,(((((Morelia_bredli:0.0274921037,Morelia_spilota:0.0241663426):0.026356,((Morelia_tracyae:0.0377936102,((Morelia_clastolepis:0.0045446653,(Morelia_kinghorni:0.0075825724,Morelia_nauta:0.0086155842):0.004182):0.018597,Morelia_amethistina:0.0227641045):0.007181):0.024796,Morelia_oenpelliensis:0.0579745143):0.004283):0.031732,((Antar [...]
-END;
-
diff --git a/doc/source/examples/pythonidae.nex b/doc/source/examples/pythonidae.nex
deleted file mode 100644
index 11860d2..0000000
--- a/doc/source/examples/pythonidae.nex
+++ /dev/null
@@ -1,97 +0,0 @@
-#NEXUS
-
-[
-    Python Cytochrome-B data GenBank, downloaded 2009-11-25.
-
-    References:
-
-    AUTHORS   Rawlings,L.H., Rabosky,D.L., Donnellan,S.C. and Hutchinson,M.N.
-    TITLE     Python phylogenetics: inference from morphology and mitochondrial
-              DNA
-    JOURNAL   Biol. J. Linn. Soc. Lond. 93 (3), 603-619 (2008)
-              Submitted (10-APR-2007) Evolutionary Biology Unit, South Australian
-              Museum, North Terrace, Adelaide, South Australia 5000, Australia
-
-    AUTHORS   Campbell,B.N.
-    TITLE     Hic Sunt Serpentes - Molecular phylogenetics and the Boidae
-              (Serpentes: Booidea)
-    JOURNAL   Thesis (1997) Queen's University, Kingston, Ontario, Canada
-
-    AUTHORS   Harvey,M.B., Ammerman,L.K., Barker,D.G. and Chippindale,P.T.
-    TITLE     Systematics of pythons of the Morelia amethistina complex with the
-              description of three new species
-    JOURNAL   Herpetological Monographs (2000)
-
-]
-
-begin taxa;
-    dimensions ntax=29;
-    taxlabels
-        'Python regius'
-        'Python sebae'
-        'Python brongersmai'
-        'Antaresia maculosa'
-        'Python timoriensis'
-        'Python molurus'
-        'Morelia carinata'
-        'Morelia boeleni'
-        'Antaresia perthensis'
-        'Morelia viridis'
-        'Aspidites ramsayi'
-        'Aspidites melanocephalus'
-        'Morelia oenpelliensis'
-        'Bothrochilus boa'
-        'Morelia bredli'
-        'Morelia spilota'
-        'Antaresia stimsoni'
-        'Antaresia childreni'
-        'Leiopython albertisii'
-        'Python reticulatus'
-        'Morelia tracyae'
-        'Morelia amethistina'
-        'Morelia nauta'
-        'Morelia kinghorni'
-        'Morelia clastolepis'
-        'Liasis fuscus'
-        'Liasis mackloti'
-        'Liasis olivaceus'
-        'Apodora papuana'
-  ;
-end;
-
-begin characters;
-    dimensions  nchar=1114;
-    format datatype=dna gap=- missing=? matchchar=.;
-    matrix
-'Python regius'                ATGCCCCACCACTATATCCTAACCCTCTTCGGCCTTCTACCAGTAGCAACCAACATCTCAACATGATGAAACTTCGGCTCAATACTACTAACATGTCTAATGTTACAAGTACTTACCGGCTTCTTCCTAGCTGTCCACTATACAGCAAACATCAACCTAGCATTTTCATCCATTATCCATATTACCCGTGACGTCCCCTACGGCTGACTAATACAAAACCTACACGCCATCGGCGCATCGATATTCTTTATCTGCATCTACATTCACATCGCACGAGGACTATACTACGGCTCCCACCTCAATAAAGAAACCTGGATATCAGGTATTACACTTCTCATCACACTGATGGCAACCGCCTTCTTCGGGTATGTACTCCCATGAGGACAAATATCCTTCTGAGCCGCAACAGTAATTACCAACCTACTCACTGCTGTACCGTACCTAGGCGCAACCATAACCAC [...]
-'Python sebae'                 ATGCCACACCATTATATCTTAACCCTATTCGGACTCCTACCAGTAGCAACCAACATTTCAACATGATGAAATTTCGGCTCAATACTACTAACATGTTTAGCCTTACAAACGCTCACAGGCTTCTTCCTAGCTGTCCACTACACAGCAAACATTAACCTAGCATTCTCATCTATCATTCACATCATCCGTGACGTCCCACATGGCTGAATAATACAAAACCTGCACGCCATCGGCGCATCTATATTCTTTATTTGCATTTACATCCACATCGCACGAGGCCTATACTATGGATCCTATCTTAACAAAGAAACCTGAATATCAGGTATCACACTCCTCATCATCCTAATAGCAACCGCGTTCTTCGGCTACGTCCTCCCATGAGGACAAATATCATTCTGAGCCGCAACAGTAATCACCAACCTACTCACTGCTGTACCCTACCTAGGAACAACTCTAACAAC [...]
-'Python brongersmai'           ------------------------------------------------------------------------TTCGGTTCAATATTACTCACTTGCCTAGTCCTACAAGTACTAACCGGCTTCTTCCTAGCCGTCCACTACACAGCAAACATCAACCTAGCATTTTCCTCTATTATACACATCACCCGCGACGTCCCATACGGCTGAATAATACAAAACTTACACGCYATCGGCGCATCTATATTTTTCATCTGCATCTATATCCACATCGCACGAGGACTATATTACGGCTCCTATCTCAATAAAGAAACCTGAATGTCTGGCATTACACTCCTCATCACACTAATAGCAACCGCTTTTTTCGGATATGTCCTCCCATGAGGACAGATGTCATTCTGAGCCGCAACCGTAATCACCAATCTACTAACTGCTGTACCATACCTAGGCACAACCCTAACAAC [...]
-'Antaresia maculosa'           ATGCCCCACCACTACATTCTAACCCTATTTGGTCTTCTACCTGTAGCAACAAATATCTCAACATGATGAAACTTCGGCTCAATATTACTAACATGTCTGGCCCTACAAGTATTGACCGGATTCTTCTTAGCCATCCACTACACAGCAAACATCAACTTAGCATTCTCATCTATTATTCACATCACCCGAGATGTCCCATATGGCTGAATAATACAAAACCTACACGCCATCGGAGCCTCCATATTCTTCATTTGCATTTACATTCACATTGCACGAGGACTATACTACGGATCCTACCTCAATAAAGAAACCTGAATGTCTGGCATCACCCTTCTTATCACACTAATAGCAACAGCCTTCTTCGGTTACGTTCTCCCATGGGGACAGATATCATTCTGAGCCGCAACCGTAATCACAAACTTACTTACCGCCGTCCCATACCTAGGCRTATCACTAACAAC [...]
-'Python timoriensis'           ------------------------------------------------------------------------TTCGGCTCACTACTATTAACATGTCTAGCCCTACAAGTATTAACTGGTTTTTTCCTAGCCGTTCACTACACAGCAAACATTAACCTGGCATTTTCATCCATCATTCACATCACCCGAGACGTCCCATACGGTTGAATGATACAAAACCTCCACGCCATCGGAGCATCCATATTTTTCATTTGTATTTACATCCACATCGCACGAGGCCTATACTACGGATCATATYTTAACAAAGAAACTTGAATATCAGGCATCACCCTACTCATCACATTAATAGCTACTGCTTTCTTCGGATATGTTCTTCCATGAGGACAAATATCATTCTGRGCCGCAACTGTAATTACAAACCTACTTACAGCCGTACCATACCTGGGCACATCATTAACAAC [...]
-'Python molurus'               ATGCCCCACCACTATATCCTAACCTTATTTGGCCTCCTACCAGTAGCAACCAACATCTCAACATGATGAAACTTCGGCTCAATACTATTAGCATGCTTAGCCCTACAAGTATTAACCGGATTCTTCCTAGCCGTCCACTACACAGCAAACATCAACCTAGCATTCTCATCTATCATTCACATCACCCGCGATGTTCCATACGGCTGAATAATACAAAACCTACACGCTATCGGCGCATCCATATTCTTCATCTGCATCTACATTCACATCGCACGAGGACTATACTACGGCTCCTATCTAAATAAAGAAACCTGAATATCCGGAATTACACTACTCATCACACTTATGGCAACCGCCTTCTTCGGATATGTCCTCCCATGAGGGCAAATATCATTCTGAGCTGCAACCGTAATTACCAACCTATTAACCGCCGTACCATACTTAGGCACAACCCTAACAAC [...]
-'Morelia carinata'             -----------------------------------------------------------------------CTTCGGCTCGATACTATTAACATGTTTAGCCCTACAAGTATTAACCGGCTTCTTCTTAGCTGTTCACTACACAGCAAACATTAACCTAGCATTCTCATCCATCATTCACATCACCCGAGACGTCCCATACGGCTGAATAATACAAAATCTGCACGCCATCGGAGCATCCATATTCTTCATCTGCATTTACATTCATATTGCACGAGGACTATACTATGGGTCTTACCTCAACAAAGAAACCTGAATATCTGGTATCACCCTGCTAATTATCCTAATAGCAACCGCCTTCTTCGGCTATGTCCTCCCATGAGGACAAATATCATTCTGAGCCGCAACCGTAATCACAAACCTACTCACCGCCGTACCCTACTTAGGCACATCACTAACAAC [...]
-'Morelia boeleni'              ------------------------------------------------------------------------TTCGGCTCTATACTATTAACATGCTTAGGCTTACAAGTAATAACCGGCTTCTTCCTAGCCGTACACTACACAGCAAACATCAACTTAGCATTCTCATCCATCATCCACATCACCCGAGACGTCCCATACGGCTGAATAATACAAAACTTGCACGCTATCGGAGCATCTATATTCTTCATCTGCATTTACATCCACATCGCACGAGGGTTGTACTACGGATCATACCTTAACAAAGAAACCTGAATATCTGGCATTACCCTACTTATCACATTAATAGCAACTGCCTTCTTTGGATACGTTCTCCCATGAGGACAAATATCATTCTGAGSSGCWRCMGTWATCACAAACCTACTCACTGCCATCCCTTATCTAGGCACATCACTAACAAC [...]
-'Antaresia perthensis'         ------------------------------------------------------------------------TTCGGMTCAATACTACTAACATGTTTAGCCTTACAAGTACTAACCGGCTTTTTTTTGGCCGTCCACTACACAGCAAACATCAACCTGGCATTTTCATCCATCATTCACATTACCCGAGACGTCCCATATGGCTGAATAATACAAAACCTGCACGCCATCGGAGCATCCATATTCTTCATTTGCATCTACATTCACATTGCACGCGGACTCTACTACGGATCCTACCTCAACAAAGAAACCTGGATATCGGGAATTACCCTCCTCATCACACTGATAGCTACCGCCTTCTTCGGCTACGTCCTCCCATGAGGACAGATATCATTCTGAGCCGCAACAGTAATCACCAACCTACTCACCGCTGTACCCTACCTAGGCACATCACTAACAAC [...]
-'Morelia viridis'              ------------------------------------------------------------------------TTCGGYTCAATACTATTAACATGCCTAGCCCTACAAGTATTAACCGGCTTCTTCCTAGCCGTTCACTACACAGSAAACATTAATCTAGCATTCTCATCCATCATCCACATCTCCCGAGATGTTCCATACGGTTGAATAATACAAAACCTACACGCCATCGGAGCATCCATATTCTTCATTTGCATCTACATCCATATTGCACGAGGATTATACTATGGATCCTACCTCAACAAAGAAACCTGAATATCCGGTATTACCCTACTCATCACACTAATAGCAACCGCCTTCTTCGGCTATGTCCTCCCATGAGGACAAATATCATTCTGAGCCGCAACCGTAATCACAAACCTACTTACCGCTGTACCCTACCTGGGTACATCACTAACAAC [...]
-'Aspidites ramsayi'            ------------------------------------------------------------------------TTCGGCTCAATACTACTAACATGCTTAGGTYTACAAGTACTAACCGGCTTYTTCCTAGCCGTCCACTACACCGCAAACATTAACCTGGCATTCTCATCTATCGTTCACATCACCCGAGATGTCCCATACGGCTGAATAATACAAAACCTACACGCCATCGGAGCATCCATATTCTTCATTTGTATCTACATTCACATTGCACGAGGATTATACTACGGATCCTACCTTAACAAAGAAACCTGAATATCGGGTATTACATTACTCATTACACTAATAGCAACCGCCTTCTTCGGATATGTCCTTCCATGAGGACAAATATCATTCTGAGCCGCAACCGTAATTACAAACCTACTCACCGCCGTACCATACCTAGGTACATCTCTAACAAC [...]
-'Aspidites melanocephalus'     ATGCCCCACCACTACATCCTAACCCTATTTGGCCTTCTGCCTGTAGCAACTAACATCTCAACATGATGAAACTTCGGCTCAATACTACTAACATGTTTAGGCCTACAAGTACTAACCGGCTTCTTCCTAGCCGTCCACTACACCGCAAACATTAACCTGGCATTCTCATCTATCGTTCACATCTCCCGAGATGTCCCATACGGCTGAATAATACAAAACCTACATGCAATCGGAGCATCCATATTCTTCATCTGTATCTACATTCACATTGCACGAGGATTATACTACGGATCCTACCTTAACAAAGAAACCTGAATATCAGGCATCACACTACTCATCACACTAATAGCGACCGCTTTCTTCGGATATGTGCTTACATGAGGACAAATATCATTATGAGCCGCAACCGTAATCACAAACCTACTCACCGCCGTGCCCTACCTAGGCACATCTCTAACAAC [...]
-'Morelia oenpelliensis'        ------------------------------------------------------------------------TTCGGCTCAATACTATTAACATGCCTAGCCCTACAAGTACTAACCGGCTTCTTCCTAGCCGTCCACTACACAGCAAATATCAACCTAGCATTTTCATCCATTATCCACATCACCCGTGACGTCCCATACGGTTGAATAATACAAAACCTACACGCCATCGGAGCATCCATATTCTTCATTTGCATTTATATTCACATCGCTCGAGGACTATACTATGGGTCATACCTTAACAAAGAAACCTGAATATCCGGTATCACCCTACTCATTACACTAATAGCAACCGCCTTCTTCGGATATGTTCTTCCATGAGGACAGATATCATTCTGAGCCGCAACCGTAATTACAAACCTACTTACCGCCGTACCATACCTAGGCACATCACTAACAAC [...]
-'Bothrochilus boa'             ------------------------------------------------------------------------TTTGGCTCAATATTATTAACATGCCTGGCCCTACAAGTACTAACCGGCTTCTTCCTGGCCGTCCACTACACAGCAAACATCAACCTGGCATTCTCATCCATTATTCACATCACCCGAGATGTCCCATATGGCTGAATAATACAAAACCTGCACGCCATCGGAGCATCCATATTCTTCATTTGCGTATACATTCACATCGCACGAGGACTATACTACGGGTCATACCTAAACAAAGAAACCTGAATATCTGGCATTACCCTGCTCATCACACTAATAGCGACCGCCTTCTTTGGATATGTCCTCCCGTGAGGACAGATATCATTCTGAGCCGCAACCGTAATTACAAACCTGTTAACAGCAGTACCCTACCTGGGCACATCACTAACAAC [...]
-'Morelia bredli'               ------------------------------------------------------------------------TTCGGCTCAATACTATTAACATGCCTAGCCCTGCAAATCCTAACCGGCTTCTTTTTAGCGGTCCACTACACAGCAAACATCAACCTAGCATTCTCATCCATCATCCACATTACCCGAGACGTCCCATACGGCTGAATAATACAAAASCTACACGCCATCGGAGCATCCCTATTCTTCATCTGCATCTACATCCATATCGCACGTGGGTTATACTACGGATCCTATCTCAACAAAGAAACCTGAATATCCGGTATTACCCTACTCATCACACTAATAGCAACTGCCTTCTTCGGTTATGTCCTTCCATGAGGACAAATATCATTCTRRGCCGCAACTGTAATTACAAATCTACTCACCGCCGTACCATACCTGGGCACATCACTAACAAC [...]
-'Morelia spilota'              ATGCCCCACCACTACATCCTAACCTTATTTGGCCTTCTCCCCGTAGCAACCAATATCTCAACATGATGAAACTTCGGCTCAATACTATTAACATGCCTAGCCCTACAAGTTCTAACCGGCTTCTTCTTAGCTGTCCACTACACAGCAAACATTAACCTGGCATTCTCATCCATCATTCACATTACCCGAGACGTCCCATACGGCTGGATAATACAAAACCTACACGCCATCGGAGCATCTATATTCTTCATTTGCATCTACATCCATATTGCACGTGGATTATACTACGGATCCTATCTCAACAAAGAAACCTGAATATCCGGCATTACCCTACTCATCACACTAATAGCAACCGCCTTCTTCGGTTACGTCCTCCCATGAGGACAAATGTCATTCTAAGCCGCAACTGTAATTACAAACCTACTCACCGCCGTACCCTACCTAGGCACATCTCTAACAAC [...]
-'Antaresia stimsoni'           ------------------------------------------------------------------------TTCGGCTCAATACTATTAACATGTCTAGCCCTACAAGTATTAACCGGCTTTTTCCTAGCCGTTCATTATACAGCAAACATTAACCTAGCATTTTCATCCATCGTTCACATTACCCGAGACGTCCCATACGGCTGAATAATACAAAACCTACACGCCATCGGAGCATCCATATTCTTTATTTGTATTTATATTCACATCGCACGCGGACTATACTATGGATCCTACCTCAACAAAGAAACCTGAATATCCGGTATCACCCTGCTCATCACACTAATAGCAACCGCCTTCTTCGGCTATGTCCTCCCATGAGGACAAATATCATTCTGAGCCGCAACCGTAATCACAAACCTACTCACCGCCGTACCATACCTAGGCACATCGCTAACAAC [...]
-'Antaresia childreni'          ATGCCCCACCACTACATTCTAACCCTATTCGGCCTTCTGCCTGTAGCAACCAACATCTCAACATGATGAAACTTCGGCTCAATACTATTAACATGTCTAGCCCTACAAGTATTAACCGGTTTTTTCTTAGCTGTTCACTATACAGCAAACATTAACCTAGCATTTTCATCCATCGTTCACATTACCCGAGACGTCCCATATGGCTGAATAATACAAAACCTACACGCCATCGGAGCATCCATATTCTTTATTTGTATTTATATTCACATCGCACGCGGACTATACTATGGATCCTACCTCAACAAAGAAACCTGAATATCCGGTATCACCCTGCTCATCACACTAATAGCAACCGCCTTCTTCGGCTATGTTCTCCCATGAGGACAAATATCATTCTGAGCCGCAACCGTAATCACAAACCTACTCACCGCCGTACCATACCTGGGCACATCACTAACAAC [...]
-'Leiopython albertisii'        ATGCCCCACCACTACATTTTAACCCTATTTGGCCTCCTACCCGTAGCAACCAACATCTCAACATGATGAAACTTTGGTTCAATACTATTAACATGCTTAGCTCTACAGGTACTAACCGGCTTCTTCCTAGCCGTCCACTACACAGCAAACATCAACCTAGCATTTTCATCCATCATCCACATTACCCGAGATGTCCCATTCGGCTGAATAATACAAAACCTACACGCCATCGGAGCATCCATATTCTTCATTTGCATCTACATTCACATCGCACGGGGGCTCTACTACGGATCATACCTAAACAAAGAAACCTGAATATCCGGCATTACCCTACTCATCACACTGATAGCAACCGCCTTCTTCGGATACGTCCTCCCATGAGGACAAATATCATTCTGAGCTGCAACCGTAATCACAAACCTACTAACCGCCGTACCCTACCTAGGCACATCACTAACAAC [...]
-'Python reticulatus'           ATGCCCCACCATTATATCCTAACCTTATTTGGCCTTCTACCAGTAGCAACCAACATCTCAACCTGATGAAACTTCGGCTCAATATTACTAACATGTCTAGCCTTACAAGTACTAACCGGCTTTTTCCTAGCCGTCCATTACACAGCAAACATTAACCTAGCATTTTCATCCATCATCCACATCACCCGAGACGTCCCATACGGCTGAATAATACAAAACCTTCACGCTATCGGAGCATCCATATTCTTCATCTGCATCTACATCCACATCGCACGAGGCCTATACTACGGATCATACCTCAACAAAGAAACCTGAATATCAGGCATCACCCTACTCATCACACTAATAGCCACCGCTTTTTTTGGTTACGTCCTTCCATGAGGACAAATATCATTCTGAGCCGCAACCGTAATTACAAACCTACTCACTGCCGTACCATACCTAGGTACATCACTAACAAC [...]
-'Morelia tracyae'              --------CCACTACATCCTAACCCTATTTGGCCTCCTACCAGTAGCAACCAACATTTCAACATGATGAAACTTCGGCTCAATACTACTAACATGTCTAGCTCTACAAGTACTAACCGGCTTCTTTCTAGCCGTACACTACACAGCAAACATTAACCTAGCATTTTCATCCATCATTCACATTACCCGAGACGTCCCATACGGCTGAATAATACAAAATCTACACGCTATCGGAGCATCCATATTCTTCATTTGCATTTACATCCACATCGCACGAGGACTATACTACGGATCTTACCTAAACAAAGAAACTTGAATATCAGGCATTACCCTACTCATCACACTAATAGCAACTGCCTTCTTTGGATACGTCCTCCCATGAGGACAAATATCATTCTGAGCCGCAACCGTAATTACAAACCTACTTACCGCCATCCCATACCTAGGCACATCTCTAACAAC [...]
-'Morelia amethistina'          --------CCACTACATCCTAACCTTATTTGGCCTCCTACCGGTAGCAACCAACATTTCAACATGATGAAACTTCGGCTCAATACTACTAACATGCCTGGCACTACAAGTACTAACCGGCTTCTTCCTAGCCGTACACTACACAGCAAACATTAACCTAGCATTCTCATCCATCATCCACATCACCCGAGACGTCCCATATGGCTGAATAATACAAAACCTGCACGCTATTGGAGCATCCATATTCTTCATCTGCATCTACATTCATATCGCACGAGGACTATACTACGGATCATACCTCAACAAAGAAACCTGAATATCCGGCATTACCCTGCTCATCACACTAATAGCAACCGCTTTCTTCGGATACGTCCTCCCATGAGGACAAATATCATTCTGAGCCGCAACCGTAATTACAAACCTACTTACCGCCATCCCATACCTAGGCACATCTCTAACAAC [...]
-'Morelia nauta'                --------CCACTACATCTTAACCTTATTTGGCCTCCTACCGGTAGCAACCAACATTTCAACATGATGAAACTTCGGCTCAATACTACTAACATGCCTAGCGCTACAAGTACTAACCGGCTTCTTCCTAGCCGTACACTACACAGCGAACATTAACCTAGCATTTTCATCCATCATCCACATTACCCGAGACGTCCCATATGGCTGAATAATACAGAACCTACACGCTATCGGAGCATCCATATTCTTCATCTGCATTTACATCCACATCGCACGAGGACTATACTACGGATCATACCTAAACAAAGAAACCTGAATATCCGGCATCACCCTGCTCATCACACTAATAGCAACTACCTTCTTCGGATACGTCCTCCCATGAGGACAAATATCATTCTGAGCCGCAACCGTAATTACAAACCTACTTACCGCTATTCCTTACCTAGGCACATCACTGACAAC [...]
-'Morelia kinghorni'            --------CCACTACATCTTAACCTTATTTGGCCTCCTACCAGTAGCAACCAACATTTCAACATGATGAAACTCCGGCTCAATACTACTAACATGTCTAGCACTACAAGTACTAACCGGCTTCTCCCTAGCTGTACACTACACAGCGAACATTAACCTAGCATTTTCATCCATCATCCACATTACCCGAGACGTCCCATATGGCTGAATAATACAGAACCTACACGCTATCGGAGCATCCATATTCTTCATCTGCATTTACATCCACATCGCACGAGGACTATACTACGGATCATACCTAAACAAAGAAACCTGAATATCCGGCATCACCCTGCTCATCACACTAATAGCAACTGCCTTCTTCGGATACGTTCTCCCATGAGGACAAATATCATTCTGAGCCGCAACCGTAATTACAAACCTACTTACCGCTATTCCTTACCTAGGCACATCACTGACAAC [...]
-'Morelia clastolepis'          --------CCACTACATCTTAACCCTATTTGGCCTCCTACCAGTAGCAACCAACATTTCAACATGATGAAACTTCGGCTCAATACTACTAACATGCCTAGCACTACAAGTACTAACCGGCTTCTTCCTAGCCGTACACTACACAGCGAACATTAACCTAGCATTCTCATCCATCATCCACATTACCCGAGACGTCCCATATGGCTGAATAATACAAAACCTACACGCTATCGGAGCATCCATATTCTTCATTTGCATTTACATTCACATCGCACGAGGACTATACTACGGATCTTACCTAAACAAAGAAACCTGAATATCCGGCATCACCCTGCTCATCACACTAATAGCAACTGCCTTCTTCGGATACGTCCTCCCATGAGGACAAATATCATTCTGAGCCGCAACCGTAATTACAAACCTACTTACCGCTATTCCTTACCTAGGCACATCACTGACAAC [...]
-'Liasis fuscus'                ------------------------------------------------ACCAATATTTCAACATGATGAAACTTCGGCTCAATACTACTAACATGTTTAGCCCTACAAGTATTAACCGGATTCTTCCTGGCTGTCCACTATACAGCAAATATTGACCTGGCATTCTCATCCATCATCCACATCACTCGAGACGTCCCATACGGCTGAATAATACAAAACCTACACGCCATCGGAGCATCAATATTCTTCATTTGTATCTACATCCACATCGCCCGAGGCCTATACTACGGATCATACCTCAACAAAGAAACCTGAATATCCGGCATCACCCTACTTATCACACTAATAGCAACCGCCTTCTTCGGGTACGTCCTTCCATGAGGACAAATATCATTCTGAGCCGCAACCGTAATCACAAACCTTCTTACCGCCGTACCCTACCTAGGCACATCCTTGACAAC [...]
-'Liasis mackloti'    ATGCCCCACCACTACGTTCTAACCCTATTTGGTCTCTTACCAGTAGCAACCAATATTTCAACATGATGAAACTTCGGCTCAATACTACTAACATGTTTAGCCCTACAAGTACTAACCGGATTCTTCCTGGCTGTCCACTACACAGCAAATATTAACCTGGCATTCTCATCCATCGTTCACATCACTCGAGATGTCCCATACGGCTGAATGATACAAAACCTACACGCCATCGGAGCATCTATATTCTTTATTTGTATCTACATCCACATCGCCCGAGGCCTATACTACGGATCATACCTTAACAAAGAAACCTGAATATCCGGTATTACCCTGCTTATCACACTAATAGCAACCGCCTTCTTCGGATACGTCCTTCCATGAGGACAAATATCATTCTGAGCCGCAACCGTAATTACAAACCTTCTCACCGCCGTACCCTACCTAGGCACATCCTTGACAACCTGGCTATGA [...]
-'Liasis olivaceus'             ATGCCCCACCACTACATTCTAACCCTGTTCGGCCTCTTACCAGTAGCAACCAACATTTCAACATGATGAAACTTCGGTTCAATACTACTAACATGCCTAGTCCTACAAGTATTAACCGGTTTCTTCCTAGCTGTCCACTACACAGCAAACATCAATCTAGCATTCTCATCCATCGTTCACATTACCCGAGACGTCCCATACGGCTGAATAATACAAAACCTACACGCTATCGGAGCATCTATATTCTTCATTTGCATCTACATCCATATCGCACGAGGTCTATACTACGGATCATACCTTAACAAAGAAACCTGAATATCTGGTATCACCCTACTCATCACACTAATAGCAACCGCTTTCTTCGGATATGTCCTTCCATGGGGACAAATATCATTCTGGGCCGCAACCGTAATCACAAACCTACTCACTGCCGTACCCTATCTAGGCACATCACTAACAAC [...]
-'Apodora papuana'               ATGCCCCACCATTACATCCTAACCCTGTTCGGCCTCCTACCAGTAGCAACCAACATTTCAACATGATGAAACTTCGGCTCAATACTACTAACATGCCTAGCCCTACAAGTATTAACTGGCTTCTTCCTGGCCGTACACTACACAGCAAACATCAACCTAGCATTCTCATCCATCATTCACATCACCCGAGATGTCCCATACGGCTGAATAATACAAAACTTACACGCCATCGGAGCATCCATATTCTTCATCTGTATCTACATCCATATTGCACGGGGCCTATACTACGGATCGTACCTAAATAAAGAAACCTGAATATCTGGCATCACCCTACTCATCACACTAATAGCAACCGCCTTCTTCGGATATGTCCTTCCATGAGGACAAATGTCATTCTGAGCCGCAACTGTAATCACAAATCTGCTCACTGCAGTACCCTACCTGGGTACATCACTAACAA [...]
-    ;
-end;
-
diff --git a/doc/source/examples/pythonidae.random.bd0301.tre b/doc/source/examples/pythonidae.random.bd0301.tre
deleted file mode 100644
index 2ed6573..0000000
--- a/doc/source/examples/pythonidae.random.bd0301.tre
+++ /dev/null
@@ -1,143 +0,0 @@
-#NEXUS
-[written Sun Jan 31 17:15:31 CST 2010 by Mesquite  version 2.72 (build 528) at glyphoglossus/10.0.1.2]
-BEGIN TREES;
-	Title Simulated_Trees;
-	TRANSLATE
-		1 Xenopeltis_unicolor,
-		2 Loxocemus_bicolor,
-		3 Morelia_spilota,
-		4 Morelia_bredli,
-		5 Morelia_carinata,
-		6 Morelia_amethistina,
-		7 Morelia_oenpelliensis,
-		8 Morelia_boeleni,
-		9 Morelia_viridisS,
-		10 Morelia_viridisN,
-		11 Liasis_olivaceus,
-		12 Liasis_mackloti,
-		13 Liasis_fuscus,
-		14 Liasis_albertisii,
-		15 Apodora_papuana,
-		16 Bothrochilus_boa,
-		17 Antaresia_maculosa,
-		18 Antaresia_stimsoni,
-		19 Antaresia_childreni,
-		20 Antaresia_perthensis,
-		21 Antaresia_melanocephalus,
-		22 Antaresia_ramsayi,
-		23 Python_reticulatus,
-		24 Python_timoriensis,
-		25 Python_sebae,
-		26 Python_molurus,
-		27 Python_curtus,
-		28 Python_regius,
-		29 Candoia_aspera,
-		30 Morelia_nauta,
-		31 Morelia_clastolepis,
-		32 Morelia_tracyae,
-		33 Morelia_kinghorni;
-	TREE  [!(#extinctions 14; generations: 39709)] 'Tree # 1 simulated by Birth/Death Process Trees' = ((((21:2.3350593241655426,((30:0.038794665275816355,17:0.038794665275816355):0.8278411765843889,4:0.8666358418601952):1.4684234823052804):3.2516188313688894,23:5.586678155534523):0.864785359254465,((18:3.3312622120012305,(((11:1.52056119128188,(12:0.6117932350513205,9:0.6117932350513205):0.9087679562303902):1.214986092913508,(2:0.40572142043739157,(29:0.024221235862369336,33:0.024221235862 [...]
-	TREE  [!(#extinctions 7; generations: 33225)] 'Tree # 2 simulated by Birth/Death Process Trees' = (((27:3.162029268365248,(18:2.3883929124914562,(30:1.299811057170669,(15:1.0674930804781402,(32:0.02881742994008188,2:0.02881742994008188):1.0386756505380481):0.23231797669246232):1.088581855320866):0.7736363558740387):6.92692315275791,((6:1.6738589502710228,1:1.6738589502710228):2.5614925181915273,(17:0.13311641673489663,26:0.13311641673489663):4.102235051727387):5.85360095266092):0.682943 [...]
-	TREE  [!(#extinctions 19; generations: 52122)] 'Tree # 3 simulated by Birth/Death Process Trees' = (((((20:0.1878557192397196,18:0.1878557192397196):6.863060827065965,(23:1.6906880436228036,(10:1.5703618532924346,11:1.5703618532924346):0.12032619033033272):5.360228502683391):0.05937070607990354,((4:2.2311211749519004,(25:0.9207723611452335,(3:0.7320841066687592,(31:0.2018055320564755,13:0.2018055320564755):0.5302785746123252):0.1886882544765277):1.310348813806433):0.28329506827430584,19 [...]
-	TREE  [!(#extinctions 20; generations: 47083)] 'Tree # 4 simulated by Birth/Death Process Trees' = (((((31:0.7249181870739579,29:0.7249181870739579):7.237887809326493,(17:6.355231025881894,((((28:0.33374458444846755,((16:1.7677669529663688E-4,19:1.7677669529663688E-4):0.2753235213194502,9:0.27550029801474685):0.05824428643372452):0.6456608857325888,18:0.9794054701810271):1.3882629954849879,2:2.367668465666329):0.6214020615384879,(4:0.8768328476388798,15:0.8768328476388798):2.11223767956 [...]
-	TREE  [!(#extinctions 15; generations: 48752)] 'Tree # 5 simulated by Birth/Death Process Trees' = ((((1:2.1723329224446823,19:2.1723329224446823):1.8102923986476105,((((29:0.723648125754956,33:0.723648125754956):1.1505488358897327,((15:0.864288636958484,(9:0.253831097028132,22:0.253831097028132):0.6104575399304025):0.4580324678121864,(4:1.7677669529663688E-4,7:1.7677669529663688E-4):1.3221443280755198):0.5518758568738491):0.0761124474331304,10:1.9503094090781268):1.4385323029809192,(14 [...]
-	TREE  [!(#extinctions 5; generations: 31062)] 'Tree # 6 simulated by Birth/Death Process Trees' = ((((((12:0.8804598947445802,1:0.8804598947445802):3.6109585940077418,((20:0.04136857530614305,10:0.04136857530614305):0.34215073628790926,(28:0.2827523400677902,21:0.2827523400677902):0.1007669715262707):4.10789917715843):1.6051236589526237,(14:4.893094909371375,(17:4.5846733934366215,22:4.5846733934366215):0.30842151593497913):1.203447238333603):0.04780401528930806,((23:4.803585346021296,( [...]
-	TREE  [!(#extinctions 20; generations: 53054)] 'Tree # 7 simulated by Birth/Death Process Trees' = ((((((24:3.1080117065082478,((4:0.7671832135948907,26:0.7671832135948907):2.292378732373643,8:3.0595619459683725):0.048449760539904546):0.19357862277683544,(3:2.7685801276898796,(13:1.91426504046319,30:1.91426504046319):0.8543150872269728):0.5330102015953322):2.6730726647394563,(9:4.799124534105554,7:4.799124534105573):1.1755384599190737):0.0430391488041006,(((((19:0.1601796713642937,23:0. [...]
-	TREE  [!(#extinctions 21; generations: 43322)] 'Tree # 8 simulated by Birth/Death Process Trees' = ((((1:1.7677669529663688E-4,8:1.7677669529663688E-4):3.997585711058615,(3:1.1722750795783339,2:1.1722750795783339):2.8254874081755563):3.0517936085752693,((32:0.5559027092568375,33:0.5559027092568375):1.3170759365856861,12:1.8729786458427586):5.1765774504875015):4.4192373305096515,(((6:6.341340674861228,(19:5.1242512845442,25:5.1242512845442):1.2170893903165048):2.5975061523112575,(((23:2. [...]
-	TREE  [!(#extinctions 11; generations: 40937)] 'Tree # 9 simulated by Birth/Death Process Trees' = (((((30:0.0021241489502897806,3:0.0021241489502897806):4.03837474191865,(6:3.2806199094102113,((20:0.38472506031821213,28:0.38472506031821213):0.22332778047488064,(10:1.7677669529663688E-4,14:1.7677669529663688E-4):0.6078760640978246):2.6725670686171776):0.7598789814583328):0.4117242091366529,2:4.452223100005203):3.2844087533788384,(17:6.7140071303865705,(((25:4.17723003732929,(31:0.147853 [...]
-	TREE  [!(#extinctions 20; generations: 38463)] 'Tree # 10 simulated by Birth/Death Process Trees' = ((((23:3.550943346581924,(((17:0.07628285934466959,9:0.07628285934466959):0.004567475798218379,(1:0.03712593461902378,25:0.03712593461902378):0.04372440052386375):0.17179614592313583,7:0.2526464810660224):3.298296865515946):3.471446090129537,((20:0.8592479777010834,2:0.8592479777010834):0.06400412414523171,4:0.9232521018463213):6.0991373348656674):3.6615504741469422,((13:1.136505019946055 [...]
-	TREE  [!(#extinctions 8; generations: 34731)] 'Tree # 11 simulated by Birth/Death Process Trees' = (((((1:1.2868878634747136,30:1.2868878634747136):4.018744131901495,((28:0.6513105499339232,(3:0.33093306472555956,25:0.33093306472555956):0.32037748520842063):2.738152348147349,13:3.3894628980810007):1.9161690972946834):4.118494795319858,((10:0.9451033109767062,32:0.9451033109767062):4.265044857856794,(21:4.233625303030518,(27:3.2996580143250522,(15:2.354208438819003,14:2.354208438819003): [...]
-	TREE  [!(#extinctions 14; generations: 34315)] 'Tree # 12 simulated by Birth/Death Process Trees' = (((((22:1.710028643549374,(8:1.2517327106517158,6:1.2517327106517158):0.4582959328976632):1.870022639768317,(7:3.481634817636679,(15:0.5334506293522375,11:0.5334506293522375):2.94818418828446):0.0984164656809154):4.249020260022012,((((19:0.48941430039343736,16:0.48941430039343736):1.2575152737207451,20:1.746929574114258):1.544003902989164,(9:1.7677669529663688E-4,27:1.7677669529663688E-4) [...]
-	TREE  [!(#extinctions 7; generations: 42885)] 'Tree # 13 simulated by Birth/Death Process Trees' = ((((25:0.56831736508115,20:0.56831736508115):9.019274495077578,((((5:0.04826286642271187,12:0.04826286642271187):1.5897596828165792,21:1.6380225492393081):2.04321038247706,14:3.6812329317156003):1.2690210595456097,1:4.950253991261129):4.637337868896613):0.9775022952975857,(2:4.134704176254002,((23:0.3036567423287932,15:0.3036567423287932):0.39469574165498356,(13:0.31329830424375393,4:0.313 [...]
-	TREE  [!(#extinctions 35; generations: 82778)] 'Tree # 14 simulated by Birth/Death Process Trees' = (((32:4.071984945262652,((((30:0.21101086779662026,1:0.21101086779662026):0.5039890660633859,8:0.7149999338599824):1.4033690396873437,33:2.118368973547363):1.0435387502822417,(29:0.8952382356427095,28:0.8952382356427095):2.2666694881866345):0.9100772214336252):5.239641975927711,((((6:1.1616053059070444,31:1.1616053059070188):1.6011630367967895,23:2.7627683427038185):2.878995805019208,(14: [...]
-	TREE  [!(#extinctions 17; generations: 46777)] 'Tree # 15 simulated by Birth/Death Process Trees' = (8:11.766455167874405,(((((((14:0.26946457564914844,16:0.26946457564914844):0.05090872587288873,12:0.3203733015220338):5.55887312627634,((10:2.248799115541852,(4:1.7677669529663688E-4,7:1.7677669529663688E-4):2.2486223388465554):0.5507955071762447,3:2.7995946227179855):3.079651805082007):1.2970257677733479,(25:5.3875636653728165,(11:1.8985053213955279,9:1.8985053213955279):3.4890583439794 [...]
-	TREE  [!(#extinctions 16; generations: 46402)] 'Tree # 16 simulated by Birth/Death Process Trees' = (((30:4.534192517799618,(18:0.12038775810374173,9:0.12038775810374173):4.413804759696139):6.4472916329308765,((31:0.9629809008768203,(29:0.5404234541492985,27:0.5404234541492985):0.42255744672762297):8.497926287060793,(((20:0.3522636357270361,15:0.3522636357270361):0.30606510706210316,3:0.6583287427890945):4.509322755753467,32:5.167651498541972):4.29325568939502):1.520576962792528):1.7691 [...]
-	TREE  [!(#extinctions 19; generations: 56180)] 'Tree # 17 simulated by Birth/Death Process Trees' = (((7:1.3478364982426367,2:1.3478364982426367):10.036819691763654,(12:0.5560937346704772,14:0.5560937346704772):10.828562455335266):2.408227355789484,((((24:3.0890545771786675,17:3.08905457717883):1.1684036370231248,(30:3.5733008409350377,(1:1.7677669529663688E-4,15:1.7677669529663688E-4):3.5731240642399813):0.684157373266409):5.496767777093504,((26:7.920861545038645,((((28:0.6150431969868 [...]
-	TREE  [!(#extinctions 17; generations: 37753)] 'Tree # 18 simulated by Birth/Death Process Trees' = (((6:0.34033646399111767,5:0.34033646399111767):6.454446731151579,((((17:1.7677669529663688E-4,10:1.7677669529663688E-4):5.727152515594094,((1:0.10695272926119685,29:0.10695272926119685):5.165794328735267,2:5.272747057996255):0.4545822342928134):0.4839541706679477,((22:3.56731316968905,(3:0.29906688188536734,15:0.29906688188536734):3.2682462878041227):1.5171875052923711,(16:3.457773647365 [...]
-	TREE  [!(#extinctions 27; generations: 73745)] 'Tree # 19 simulated by Birth/Death Process Trees' = ((26:10.804287205409942,((((8:1.2155467281422982,24:1.2155467281422982):2.7732760312633022,(16:2.9709311117327584,(((17:0.7738110672064692,13:0.7738110672064692):0.15513174675916502,(31:0.4157630949587063,7:0.4157630949587063):0.5131797190069931):0.29556336143726547,(6:1.0515469381109528,1:1.0515469381109528):0.17295923729203636):1.7464249363298754):1.0178916476723319):3.009119404223654,2 [...]
-	TREE  [!(#extinctions 10; generations: 31938)] 'Tree # 20 simulated by Birth/Death Process Trees' = (((25:3.971576165214506,(17:0.6098000255661603,13:0.6098000255661603):3.361776139648522):4.072612617901492,(((15:5.220805263453765,(((19:3.9849002949607613,((2:0.8722972880363862,3:0.8722972880363862):1.550497859310673,(22:1.9943223118532607,(5:1.4888612556135803,1:1.4888612556135803):0.5054610562395608):0.428472835494136):1.5621051476136618):0.26617131030640306,(7:3.774594541068951,(28:0 [...]
-	TREE  [!(#extinctions 10; generations: 36048)] 'Tree # 21 simulated by Birth/Death Process Trees' = ((23:5.842803660258621,13:5.842803660258621):4.1260807339073615,(((((8:1.9562888259496503,22:1.9562888259496503):1.0622141848211368,((19:1.7677669529663688E-4,27:1.7677669529663688E-4):2.2041251552395145,((17:0.35902943573164775,20:0.35902943573164775):1.6271125076816697,24:1.9861419434133212):0.21815998852144117):0.8142010788360523):1.6192744236925674,(29:3.878665313099562,14:3.878665313 [...]
-	TREE  [!(#extinctions 15; generations: 42305)] 'Tree # 22 simulated by Birth/Death Process Trees' = (((((((14:0.6272186739180423,20:0.6272186739180423):1.8124492720052714,(3:0.6431079647290976,(33:0.09723001101988148,28:0.09723001101988148):0.5458779537092442):1.7965599811942108):0.9147487075217913,(21:2.052258821335196,25:2.052258821335195):1.3021578321101044):0.66288921893111,(((18:0.8863349232984842,(26:0.24145603743119276,7:0.24145603743119276):0.644878885867331):0.12560412414523348 [...]
-	TREE  [!(#extinctions 13; generations: 51245)] 'Tree # 23 simulated by Birth/Death Process Trees' = ((((10:0.3463906792691378,26:0.3463906792691378):0.8724199792268181,(16:0.1937374364989211,2:0.1937374364989211):1.0250732219970249):15.378774920166597,((((17:2.3863394104847746,15:2.3863394104847684):1.4690004799787457,4:3.8553398904630756):1.7439210501471756,((3:0.0694760698583085,11:0.0694760698583085):1.5789052607488978,27:1.6483813306072306):3.950879610002555):0.487749382678853,23:6. [...]
-	TREE  [!(#extinctions 12; generations: 37454)] 'Tree # 24 simulated by Birth/Death Process Trees' = ((((((9:3.6437315390883174,14:3.6437315390883174):1.019655167119162,(24:1.945284746543999,(12:1.3694236335096992,17:1.3694236335096992):0.5758611130342317):2.7181019596635947):3.726039931916611,(((3:1.7677669529663688E-4,2:1.7677669529663688E-4):1.1431597528482076,26:1.1433365295435043):3.749177184851094,(19:3.4135196326185024,(5:2.2590086958704534,10:2.2590086958704534):1.154510936748423 [...]
-	TREE  [!(#extinctions 11; generations: 34565)] 'Tree # 25 simulated by Birth/Death Process Trees' = (((7:2.117742918488203,25:2.1177429184881778):1.0532385665853017,((((19:0.7136858073609503,3:0.7136858073609503):0.4127326896308828,27:1.1264184969918998):0.7860786163123459,13:1.9124971133045041):0.1724330687136355,5:2.08493018201818):1.0860513030553047):7.133908307570098,((((16:3.667969684794139,(29:0.46352093354420953,26:0.46352093354420953):3.204448751249904):1.7678469599132092,(((6:2 [...]
-	TREE  [!(#extinctions 30; generations: 64026)] 'Tree # 26 simulated by Birth/Death Process Trees' = ((((7:4.21171145954881,(18:2.7033794865710696,14:2.7033794865710696):1.5083319729778204):11.807795315805699,(((((31:1.7677669529663688E-4,19:1.7677669529663688E-4):1.1568340301796922,4:1.157010806874989):3.6449695968593314,1:4.8019804037350164):4.636272526672271,((((29:3.2725961833293455,(26:0.6733524156477745,10:0.6733524156477745):2.5992437676816875):1.6363924192948258,(16:2.91622959602 [...]
-	TREE  [!(#extinctions 28; generations: 54244)] 'Tree # 27 simulated by Birth/Death Process Trees' = (((((30:1.5307354398574833,(25:0.5008054843260257,14:0.5008054843260257):1.0299299555313222):6.315438576849287,(((2:0.29603737709713235,3:0.29603737709713235):0.11566878338905269,15:0.411706160486182):7.345610851453552,((((33:1.2896052614675875,29:1.2896052614675875):2.6578544282357184,((19:1.7677669529663688E-4,24:1.7677669529663688E-4):2.1252424157084406,7:2.1254191924037373):1.82204049 [...]
-	TREE  [!(#extinctions 21; generations: 51143)] 'Tree # 28 simulated by Birth/Death Process Trees' = ((((2:1.6391170645477398,31:1.6391170645477398):4.09189461817883,(23:4.4468899400637545,3:4.446889940063755):1.284121742662512):4.873815997585321,(((15:1.386121141949624,26:1.3861211419496466):6.780141578391685,(((16:2.4021261253073902,(21:0.23929497631632632,28:0.23929497631632632):2.1628311489909477):1.5475358317435723,(4:0.03217618715071797,(13:1.7677669529663688E-4,29:1.76776695296636 [...]
-	TREE  [!(#extinctions 21; generations: 49879)] 'Tree # 29 simulated by Birth/Death Process Trees' = ((5:8.029242868744372,((26:2.8996337223998014,(16:1.0204882521076606,31:1.0204882521076606):1.8791454702921437):4.882031796076129,(((30:0.4520915741875009,(27:0.10064411047006705,22:0.10064411047006705):0.351447463717439):0.11261461952580547,6:0.5647061937132847):0.8205877445002439,2:1.3852939382136669):6.396371580262341):0.24757735026918984):7.954402209650952,(((28:5.318224453262853,((20 [...]
-	TREE  [!(#extinctions 9; generations: 50259)] 'Tree # 30 simulated by Birth/Death Process Trees' = ((14:3.5628039446154123,((29:2.6420847815507718,21:2.6420847815507718):0.44621357270182277,28:3.088298354252549):0.47450559036266604):14.297303560317129,((1:7.620803829091519,(((18:2.6490929804405217,((25:0.7620003355242505,23:0.7620003355242505):1.709089366000961,(9:1.2807011472600909,31:1.2807011472600909):1.1903885542651487):0.17800327891532708):0.5437146082560399,(17:1.7677669529663688 [...]
-	TREE  [!(#extinctions 14; generations: 42641)] 'Tree # 31 simulated by Birth/Death Process Trees' = (((22:7.792667791897018,(((30:1.4424805338893039,2:1.4424805338893039):2.4970386190726157,(1:0.6518086479136341,28:0.6518086479136341):3.2877105050476927):1.383630914389096,(10:4.967021216337617,((((33:0.12675760642765535,(25:0.03677238122843051,24:0.03677238122843051):0.08998522519922345):0.8594962452293272,32:0.9862538516569647):0.5966273336565217,8:1.5828811853135807):1.185023296476669 [...]
-	TREE  [!(#extinctions 12; generations: 43892)] 'Tree # 32 simulated by Birth/Death Process Trees' = ((((14:6.877335129818884,(29:1.9544743045932376,18:1.9544743045932376):4.9228608252246255):0.6984208574574046,((33:3.272364167045982,(15:0.7033824444452877,4:0.7033824444452877):2.568981722600607):3.9209941048970447,(((2:6.043523170939974,16:6.043523170939974):0.034802159829168684,(19:0.8115811148836267,21:0.8115811148836267):5.26674421588505):0.5551924301419386,(((6:0.03783304140021033,2 [...]
-	TREE  [!(#extinctions 14; generations: 43885)] 'Tree # 33 simulated by Birth/Death Process Trees' = ((25:9.157567737556247,((9:0.8081560963215438,26:0.8081560963215438):4.380577343740367,(14:2.087653089977894,(19:1.950467541063053,18:1.950467541063053):0.1371855489148306):3.1010803500841284):3.9688342974945736):5.667496115338028,(((27:0.995160220466819,8:0.995160220466819):10.570343533146824,((7:1.7162277902545773,11:1.7162277902545773):7.620278171907257,((((12:1.4545920388738018,20:1.4 [...]
-	TREE  [!(#extinctions 12; generations: 43966)] 'Tree # 34 simulated by Birth/Death Process Trees' = (((((7:0.5547056691858626,29:0.5547056691858626):0.22927929702848884,23:0.783984966214293):8.471592587060204,((17:1.2647005218540266,(12:1.7677669529663688E-4,1:1.7677669529663688E-4):1.26452374515873):2.277287665262968,(((28:1.4387398172077581,(19:1.094209598324179,(32:0.8305296615959895,(11:0.6083800922063829,2:0.6083800922063829):0.2221495693896533):0.2636799367280896):0.34453021888345 [...]
-	TREE  [!(#extinctions 26; generations: 77113)] 'Tree # 35 simulated by Birth/Death Process Trees' = (19:23.066639946483367,(((25:1.4680500067424143,4:1.4680500067424143):2.1329989960278337,(14:2.30138426675269,29:2.30138426675269):1.299664736017829):17.45931040838556,((((24:4.3447692137685605,((21:1.2498232673114043,7:1.2498232673114043):2.39378361296218,((28:1.7677669529663688E-4,1:1.7677669529663688E-4):2.6769435128493018,12:2.6771202895445794):0.9664865907292179):0.7011623334962034): [...]
-	TREE  [!(#extinctions 21; generations: 41919)] 'Tree # 36 simulated by Birth/Death Process Trees' = (((((13:7.5208594413547205,((17:5.254585520008496,22:5.254585520008496):0.6974671738764341,((31:1.9181711841582523,20:1.9181711841584388):3.532726263586478,((6:4.001114956806462,(((21:2.238517534887223,9:2.238517534887223):0.1448033835373865,((14:2.0340479599631247,(5:0.5844340068816449,25:0.5844340068816449):1.4496139530813603):0.20446957492389994,26:2.238517534887223):0.1448033835373865 [...]
-	TREE  [!(#extinctions 13; generations: 48317)] 'Tree # 37 simulated by Birth/Death Process Trees' = ((((14:1.7875044335976107,11:1.7875044335976107):1.6701529606875294,(((4:1.727195615108835,10:1.727195615108835):0.13553609396486066,20:1.862731709073775):1.1182162279472707,(32:1.1891480298217514,22:1.1891480298217514):1.7917999071992237):0.4767094572642337):8.07428194883241,((((18:0.48437097371953003,16:0.48437097371953003):0.5269364334957339,7:1.0113074072151214):3.701661492243788,26:4 [...]
-	TREE  [!(#extinctions 2; generations: 27306)] 'Tree # 38 simulated by Birth/Death Process Trees' = (((18:6.977392842130951,((8:2.0959691271738152,5:2.0959691271738152):4.049846364688471,((((27:1.5271157322382314,15:1.5271157322382314):0.5754093211863684,(10:1.1800275168526315,30:1.1800275168526315):0.922497536571784):0.9576809508301204,(24:1.1950452409670513,(33:0.9260715263461589,(3:0.1820828247622702,17:0.1820828247622702):0.7439887015839434):0.268973714620774):1.8651607632875362):0.5 [...]
-	TREE  [!(#extinctions 13; generations: 41942)] 'Tree # 39 simulated by Birth/Death Process Trees' = (((12:1.8798873152686453,(4:0.20151307695952456,29:0.20151307695952456):1.678374238309082):9.196294818960022,(((10:0.951050260998011,27:0.951050260998011):5.674224618346089,19:6.6252748793437535):2.7886914658542423,(((13:1.7677669529663688E-4,31:1.7677669529663688E-4):1.3679774773428186,16:1.3681542540381153):7.216890190383609,((6:0.21902615484112786,24:0.21902615484112786):4.802022085655 [...]
-	TREE  [!(#extinctions 13; generations: 39488)] 'Tree # 40 simulated by Birth/Death Process Trees' = (((((4:2.129798566524287,16:2.129798566524287):1.3981429620271764,8:3.527941528551016):0.7142331883792321,15:4.242174716929527):5.0703878564129425,(((18:4.889015028512835,(((12:0.3605336930539178,26:0.3605336930539178):2.0723936194087016,23:2.4329273124626747):1.4070594420941027,(3:2.1289944423790543,(17:0.20552508812762,19:0.20552508812762):1.9234693542513424):1.7109923121776354):1.04902 [...]
-	TREE  [!(#extinctions 9; generations: 39875)] 'Tree # 41 simulated by Birth/Death Process Trees' = (((17:1.6139787539520158,(26:1.3422764090784909,27:1.3422764090784909):0.27170234487354655):9.264836843298857,(((6:6.07484790188883,3:6.07484790188883):1.1707063979562153,(13:6.986375253457993,29:6.986375253458285):0.25917904638729):3.0491495826087274,((((28:2.169911499833049,12:2.16991149983327):0.15279372573094574,23:2.32270522556423):4.327649807836855,((25:3.458791983946934,21:3.4587919 [...]
-	TREE  [!(#extinctions 20; generations: 51998)] 'Tree # 42 simulated by Birth/Death Process Trees' = (((((9:2.36648880817362,(23:1.8231470616023506,31:1.8231470616023506):0.5433417465711161):0.14293228872788416,((27:0.4106550917808298,18:0.4106550917808298):1.8840501253787867,26:2.2947052171596476):0.21471587974175224):4.737020552864423,((((19:1.619039146827701,15:1.619039146827701):0.5569603001779644,1:2.1759994470058297):0.6029991917391111,(14:0.8681976520611947,(8:0.43831727717676244, [...]
-	TREE  [!(#extinctions 30; generations: 50917)] 'Tree # 43 simulated by Birth/Death Process Trees' = ((19:2.9856417337823546,30:2.985641733782273):12.761428903353094,(((((16:1.451046645974137,10:1.451046645974137):0.7084610145202556,14:2.1595076604944725):1.995499463913116,31:4.15500712440769):4.179599309329514,(26:3.5716514325478177,((8:1.5860345260635236,(12:0.36662341324226083,(18:0.25942528954563704,((29:0.03876798007491414,20:0.03876798007491414):0.19992185464173126,4:0.238689834716 [...]
-	TREE  [!(#extinctions 10; generations: 32793)] 'Tree # 44 simulated by Birth/Death Process Trees' = (((4:6.848502573107421,((10:1.7730962231408118,11:1.7730962231408118):1.7815754777567403,(26:0.8475341503390276,3:0.8475341503390276):2.7071375505579467):3.293830872210629):0.05760197426044073,(12:2.0630732087529906,(22:0.16289666131937144,25:0.16289666131937144):1.9001765474335688):4.843031338615445):2.962491042235179,((((1:5.58046697665143,(((16:0.22313720545022697,33:0.2231372054502269 [...]
-	TREE  [!(#extinctions 9; generations: 33638)] 'Tree # 45 simulated by Birth/Death Process Trees' = ((((((20:4.760057433573059,(((25:0.5197620985019906,16:0.5197620985019906):0.4750214013465522,12:0.9947834998485019):0.24018130058647572,3:1.2349648004351064):3.5250926331382453):1.0632005888711196,(30:2.326251668546265,28:2.326251668546265):3.4970063538988083):1.2990941775502043,(((15:0.3512944545534471,4:0.3512944545534471):1.729136698359533,2:2.0804311529130675):1.567810377160519,(((((2 [...]
-	TREE  [!(#extinctions 6; generations: 40324)] 'Tree # 46 simulated by Birth/Death Process Trees' = ((24:7.650340763978949,25:7.650340763978932):5.286117682623102,(((((30:1.463245119090403,13:1.463245119090403):0.6779159910207471,16:2.141161110111263):4.201548096338741,(7:0.17156970734364432,27:0.17156970734364432):6.171139499105474):2.7484624124579686,((((17:2.144521021013634,(((2:0.2777328673253763,22:0.2777328673253763):1.6715297720445685,8:1.9492626393699732):0.07427363899658689,(19: [...]
-	TREE  [!(#extinctions 11; generations: 41791)] 'Tree # 47 simulated by Birth/Death Process Trees' = ((((((32:0.847154085111813,(31:0.25431969517755953,(11:0.11811931431304425,12:0.11811931431304425):0.13620038086451516):0.592834389934285):0.8355989075808821,10:1.6827529926928841):0.6427091091759284,(20:1.945393651073109,(5:1.6639808652250698,(15:0.010962983715121617,19:0.010962983715121617):1.6530178815099443):0.2814127858479863):0.3800684507957274):0.6875889495435075,((33:1.76776695296 [...]
-	TREE  [!(#extinctions 18; generations: 53604)] 'Tree # 48 simulated by Birth/Death Process Trees' = (((((22:0.7581663436193843,(11:0.3631291866340555,4:0.3631291866340555):0.3950371569853796):4.832380278528621,(30:1.3788888691072223,(10:0.09405106674037268,24:0.09405106674037268):1.2848378023668043):4.211657753040931):0.3901231980444128,((19:2.179782206976461,26:2.179782206976461):0.34323981706382056,(((29:1.0677551289991758,3:1.0677551289991758):0.6135099638758239,7:1.6812650928752413) [...]
-	TREE  [!(#extinctions 18; generations: 58928)] 'Tree # 49 simulated by Birth/Death Process Trees' = ((((((18:1.1148768217476226,3:1.1148768217476226):5.114199857132168,20:6.229076678879548):0.39703777649308464,(((6:0.996082782013471,12:0.996082782013471):0.7888055433900931,13:1.7848883254039194):4.807710804846032,22:6.592599130248867):0.03351532512307292):2.8397728908561164,((31:1.4070550153413384,((16:0.604602475159741,32:0.604602475159741):0.28636758681548513,14:0.8909700619751831):0. [...]
-	TREE  [!(#extinctions 24; generations: 59012)] 'Tree # 50 simulated by Birth/Death Process Trees' = ((((13:6.233354620268357,(((((4:1.2318130162044154,18:1.2318130162044154):1.1846546960747826,22:2.416467712279285):0.26701034684784325,24:2.683478059127066):0.9312988684976024,(3:0.6211753904027356,2:0.6211753904027356):2.9936015372217963):0.2333537762002076,(8:3.1958512294105432,6:3.1958512294105432):0.6522794744141336):2.3852239164433566):8.173144247625679,((19:3.8803889027142087,10:3.8 [...]
-	TREE  [!(#extinctions 18; generations: 50156)] 'Tree # 51 simulated by Birth/Death Process Trees' = ((((4:1.7147551473128042,(28:0.7795109118916121,18:0.7795109118916121):0.9352442354209295):3.3035286441570255,((((25:2.569503686956176,((((30:0.9001807841976005,(6:0.7277263112361296,22:0.7277263112361296):0.17245447296153155):0.46559648338541926,(31:1.7677669529663688E-4,12:1.7677669529663688E-4):1.3656004908879347):0.17120519240743556,15:1.5369824599906459):0.743743465842021,11:2.280725 [...]
-	TREE  [!(#extinctions 13; generations: 43083)] 'Tree # 52 simulated by Birth/Death Process Trees' = ((((((19:0.8958122642536875,11:0.8958122642536875):1.1616485659376996,(15:0.6743678166917269,18:0.6743678166917269):1.3830930134997175):0.041248570162116686,20:2.0987094003538482):5.1636028165682015,((((17:0.7120917003241756,6:0.7120917003241756):2.779953358417475,(8:2.5669020733368764,(29:2.515965493891058,22:2.5159654938911187):0.050936579445789956):0.9251429854053496):1.836957058444147 [...]
-	TREE  [!(#extinctions 9; generations: 31427)] 'Tree # 53 simulated by Birth/Death Process Trees' = ((((27:4.690971527365414,(((23:2.3111369319010944,13:2.3111369319010944):2.343370081115963,(((11:0.7361855690285691,1:0.7361855690285691):0.03880754755060148,3:0.7749931165791765):2.3942453180411905,(9:3.0212302357304406,(21:0.39565295202158657,10:0.39565295202158657):2.625577283708956):0.14800819888974728):1.4852685783961228):0.004444294291552228,4:4.658951307308382):0.03202022005726):1.0 [...]
-	TREE  [!(#extinctions 12; generations: 33505)] 'Tree # 54 simulated by Birth/Death Process Trees' = ((((14:3.165670830386004,19:3.1656708303860226):0.643715593995356,(32:1.0249354909341835,(11:0.38740619393613973,4:0.38740619393613973):0.6375292969981302):2.7844509334467733):3.727815709273097,((((29:2.2819279544545084,(26:0.409142618987396,9:0.409142618987396):1.8727853354670885):3.79854592520511,(5:4.207649202381487,(12:1.0547577384466624,24:1.0547577384466624):3.1528914639347483):1.87 [...]
-	TREE  [!(#extinctions 13; generations: 33492)] 'Tree # 55 simulated by Birth/Death Process Trees' = (((18:0.0401311384390666,(16:1.7677669529663688E-4,27:1.7677669529663688E-4):0.03995436174376996):3.5454213410524655,8:3.5855524794915463):4.0678066800197215,((((30:4.010363880733022,(1:0.558876734307254,13:0.558876734307254):3.4514871464258046):0.9080714492189835,(28:1.4385004283179794,33:1.4385004283179794):3.4799349016342815):1.011555700434367,(2:1.0943183129225582,24:1.094318312922558 [...]
-	TREE  [!(#extinctions 9; generations: 22236)] 'Tree # 56 simulated by Birth/Death Process Trees' = ((((((3:1.0630401147384494,22:1.0630401147384494):0.35436796433081663,(14:1.149634337165003,25:1.149634337165003):0.2677737419043211):1.8652550346681391,(24:2.606441118535266,(11:2.281976487212837,29:2.2819764872128445):0.3244646313225766):0.676221995202445):0.6122203006590855,28:3.8948834143960536):0.8240758303786127,((6:1.3152039549241867,7:1.3152039549241867):1.0249409324335272,(((5:0.1 [...]
-	TREE  [!(#extinctions 22; generations: 53705)] 'Tree # 57 simulated by Birth/Death Process Trees' = (((((((7:0.8876202231283684,27:0.8876202231283684):1.4937140403423335,14:2.3813342634711403):0.7861390104574396,(13:0.03765626470491369,15:0.03765626470491369):3.129817009223471):0.5681424596814172,18:3.7356157336096976):9.102413620736643,(((26:1.7677669529663688E-4,23:1.7677669529663688E-4):5.015988750712104,((1:1.2836470769602066,11:1.2836470769602066):0.07299165412110993,17:1.356638731 [...]
-	TREE  [!(#extinctions 14; generations: 37667)] 'Tree # 58 simulated by Birth/Death Process Trees' = ((((((22:1.940997435355183,31:1.940997435355183):0.6425328506881927,33:2.5835302860434792):1.4361851995762858,((9:1.7677669529663688E-4,27:1.7677669529663688E-4):2.8644407191842687,((1:1.251268154187798,4:1.251268154187798):0.6531866689018867,(30:1.666613807131357,29:1.666613807131357):0.23784101595841056):0.9601626727895767):1.155097989740251):4.4183376920154185,((15:6.262455890852491,(1 [...]
-	TREE  [!(#extinctions 17; generations: 35756)] 'Tree # 59 simulated by Birth/Death Process Trees' = ((((((((1:0.10457138472756493,3:0.10457138472756493):2.5673830061670024,(15:2.3562844917782413,((17:1.5730452337142196,31:1.5730452337142196):0.7679586168397671,32:2.3410038505541952):0.015280641224033447):0.3156698991165454):1.3085671297250243,(16:3.2351637582458603,(33:1.3999457776675819,(((28:1.7677669529663688E-4,23:1.7677669529663688E-4):0.7087649154126563,18:0.7089416921079529):0.49 [...]
-	TREE  [!(#extinctions 14; generations: 34101)] 'Tree # 60 simulated by Birth/Death Process Trees' = (((23:1.002948054869932,13:1.002948054869932):0.9290386556685784,5:1.9319867105388955):6.524284806386005,(((9:6.445130592730466,((16:4.0904536396041165,(12:3.9349564913911084,19:3.9349564913909956):0.15549714821319427):2.0511938248270023,18:6.141647464432944):0.30348312829799523):0.19280184606498146,((27:4.842152138481693,((10:2.268217767544722,(29:2.1525568968121522,(30:0.815190460725847 [...]
-	TREE  [!(#extinctions 15; generations: 70018)] 'Tree # 61 simulated by Birth/Death Process Trees' = ((((((20:5.447280681817901,(25:4.927479583859653,12:4.927479583859204):0.5198010979590716):0.2825135701664469,((((7:1.3032521538980621,31:1.3032521538980621):2.18767295360001,14:3.490925107497957):0.9994127429484463,(17:1.5882960442164493,5:1.5882960442164493):2.902041806229644):0.5934182292696031,29:5.083756079714603):0.6460381722697931):6.064729679773402,(((24:0.6585178456729361,18:0.65 [...]
-	TREE  [!(#extinctions 14; generations: 38248)] 'Tree # 62 simulated by Birth/Death Process Trees' = ((((13:0.9922632235409579,(14:0.3450881844472765,4:0.3450881844472765):0.6471750390937562):8.58834731002244,((26:2.1385365619987526,(25:0.948780390337735,(32:0.9283762661925048,(3:0.8510532199412449,23:0.8510532199412449):0.07732304625128636):0.02040412414523192):1.1897561716606537):1.1180553455724964,1:3.256591907570862):6.324018625992899):0.20797585342026062,(((((12:0.9001316588677524,( [...]
-	TREE  [!(#extinctions 11; generations: 45390)] 'Tree # 63 simulated by Birth/Death Process Trees' = (((20:7.320281455613137,(26:1.6685741970030155,(8:0.006720343028002341,4:0.006720343028002341):1.6618538539750107):5.651707258610054):0.25212060116777435,((13:0.38165933252377426,27:0.38165933252377426):2.4648327348061736,(18:0.3725847173183274,33:0.3725847173183274):2.473907350011622):4.725909989451055):8.090994101289576,(((((11:0.5346904233245635,9:0.5346904233245635):1.6555714659314322 [...]
-	TREE  [!(#extinctions 28; generations: 55583)] 'Tree # 64 simulated by Birth/Death Process Trees' = ((((((((24:1.0045604650269453,14:1.0045604650269453):0.37576256797673063,23:1.380323033003896):5.452010919562992,11:6.83233395256642):2.8590920898576546,7:9.691426042422238):0.883143550835467,4:10.574569593257173):0.39815786282202703,28:10.972727456079866):1.7170712800902166,(((5:0.4933799794746637,(26:0.47362042736791143,20:0.47362042736791143):0.0197595521067535):1.7461207318798602,19:2 [...]
-	TREE  [!(#extinctions 36; generations: 67191)] 'Tree # 65 simulated by Birth/Death Process Trees' = (((33:14.69473678595128,14:14.694736785952095):2.345900193401182,(((2:1.9303542379956513,(3:0.5255447049253014,24:0.5255447049253014):1.404809533070095):6.997246790228058,(((29:1.7677669529663688E-4,4:1.7677669529663688E-4):2.6113213943125184,16:2.611498171007562):1.9002976267786635,((8:0.6422246755150349,26:0.6422246755150349):0.24572765549212958,9:0.8879523310071415):3.6238434667782435) [...]
-	TREE  [!(#extinctions 15; generations: 44808)] 'Tree # 66 simulated by Birth/Death Process Trees' = (((((27:0.8944824390414395,11:0.8944824390414395):1.468514361869504,13:2.3629968009111137):0.25210978575330467,12:2.615106586664311):4.1369657435518565,((22:0.8035747767918349,(9:1.7677669529663688E-4,16:1.7677669529663688E-4):0.8033980000965383):3.1165044777885167,((8:0.8103789009370657,4:0.8103789009370657):1.3630305463399868,(24:0.03765626470491369,6:0.03765626470491369):2.135753182572 [...]
-	TREE  [!(#extinctions 8; generations: 29973)] 'Tree # 67 simulated by Birth/Death Process Trees' = ((((18:2.7379588066096257,28:2.7379588066096257):1.4306506485733639,23:4.168609455181574):1.7774455927759083,(((6:3.4910713255619275,11:3.4910713255619275):0.12148798950918216,((14:1.1415194614940354,(1:0.5323962008266141,4:0.5323962008266141):0.6091232606674607):1.586818443876344,(31:1.1280428776398983,((33:1.7677669529663688E-4,16:1.7677669529663688E-4):0.10765983604238342,27:0.107836612 [...]
-	TREE  [!(#extinctions 16; generations: 44412)] 'Tree # 68 simulated by Birth/Death Process Trees' = (((((4:1.5058729388498517,27:1.5058729388498517):1.8270900399294836,7:3.3329629787791033):2.7823861875887084,(28:5.896718879567317,33:5.896718879567317):0.21863028679871324):3.1847271832596227,(12:2.3626699448935375,((20:0.11110223355532245,25:0.11110223355532245):0.5011218495768185,31:0.6122240831321212):1.7504458617611514):6.9374064047330215):4.350160341512592,(((3:7.178191372424314,((9 [...]
-	TREE  [!(#extinctions 8; generations: 36050)] 'Tree # 69 simulated by Birth/Death Process Trees' = (((((30:0.6919626928996491,11:0.6919626928996491):0.7665078185781724,26:1.4584705114780598):4.447361074971575,((16:0.63878502153585,22:0.63878502153585):5.050227757372516,((((25:1.7677669529663688E-4,23:1.7677669529663688E-4):1.1491563067683432,31:1.14933308346364):2.6081205119350264,(32:2.7764914230673505,9:2.7764914230673505):0.980962172332072):0.10223712919178576,4:3.8596907245906387):1 [...]
-	TREE  [!(#extinctions 10; generations: 28848)] 'Tree # 70 simulated by Birth/Death Process Trees' = ((((30:1.514963018227822,(28:0.6812237125471509,29:0.6812237125471509):0.8337393056804666):0.6769399141321712,2:2.191902932360214):3.6060367171841325,((12:2.158805706991859,(6:2.115156740037149,20:2.1151567400371563):0.04364896695471264):0.5901869792300937,27:2.7489926862218903):3.0489469633224036):0.31778383797157495,((((21:2.95451982158212,((5:0.837778218574587,(16:0.1139518191038592,10 [...]
-	TREE  [!(#extinctions 12; generations: 38686)] 'Tree # 71 simulated by Birth/Death Process Trees' = (((15:1.3408827624533375,32:1.3408827624533375):3.220058444461311,((1:0.31706706342840213,9:0.31706706342840213):0.9746016110049996,(19:0.7091230254415588,24:0.7091230254415588):0.5825456489919021):3.269272532481047):9.174932526821378,(((11:8.601142048851308,(((10:2.9952291211760933,(23:2.724025916815616,(21:1.5767822621787497,4:1.5767822621787497):1.147243654636976):0.27120320436020057): [...]
-	TREE  [!(#extinctions 12; generations: 25999)] 'Tree # 72 simulated by Birth/Death Process Trees' = (((12:3.248866910975431,(14:2.4810906212503157,(24:1.0650057469948506,27:1.0650057469948506):1.4160848742555088):0.7677762897259276):3.4250884514177065,(((29:2.017487155026738,((22:0.9100947595498557,(31:0.3800865352623119,33:0.3800865352623119):0.5300082242876045):0.014712594000225596,20:0.9248073535500801):1.092679801476397):2.220485378888183,((9:0.02881742994008188,3:0.0288174299400818 [...]
-	TREE  [!(#extinctions 4; generations: 17825)] 'Tree # 73 simulated by Birth/Death Process Trees' = ((((15:0.6445342554199471,16:0.6445342554199471):2.672285885467167,((((11:0.05197517702394123,1:0.05197517702394123):1.757378326312716,(24:1.3079353790190642,(2:0.6326442475163933,(10:0.41510089621135743,(30:1.7677669529663688E-4,19:1.7677669529663688E-4):0.4149241195160608):0.2175433513050558):0.6752911315025287):0.5014181243175923):0.7348957718328561,27:2.544249275169136):0.1019151587219 [...]
-	TREE  [!(#extinctions 16; generations: 56814)] 'Tree # 74 simulated by Birth/Death Process Trees' = ((((((8:1.1736254074902688,(33:0.08803762286445603,18:0.08803762286445603):1.0855877846257826):1.667404712834956,((3:1.3519642529377336,(31:0.2994958273870504,21:0.2994958273870504):1.0524684255505758):0.9183394625269508,(6:1.926126042199129,(26:0.7485065593369092,27:0.7485065593369092):1.1776194828620312):0.3441776732656609):0.5707264048607028):2.76489194378324,(17:1.8581779938017475,(4: [...]
-	TREE  [!(#extinctions 15; generations: 31951)] 'Tree # 75 simulated by Birth/Death Process Trees' = ((((3:0.22186917061205577,18:0.22186917061205577):4.979531116957687,6:5.20140028756903):3.3854645025189045,(((7:2.08121887042614,(9:1.7323745497735117,(20:1.458699246816424,(((28:1.7677669529663688E-4,16:1.7677669529663688E-4):0.6109725908876399,24:0.6111493675829365):0.386023200742652,2:0.9971725683256178):0.4615266784906784):0.2736753029569745):0.34884432065255433):1.6593196323517696,4: [...]
-	TREE  [!(#extinctions 11; generations: 37388)] 'Tree # 76 simulated by Birth/Death Process Trees' = (((25:4.516860827260885,(22:1.457531033185879,5:1.457531033185879):3.059329794076498):3.048773751442323,11:7.565634578704347):3.1594041861301427,(((20:6.929630491430732,((1:5.24220740494871,((12:4.333738965984056,(29:4.245108082710985,(31:3.8697844103379655,(21:0.7312825305295647,16:0.7312825305295647):3.138501879808165):0.3753236723737573):0.0886308832733545):0.2359947406578857,(8:1.3465 [...]
-	TREE  [!(#extinctions 13; generations: 38859)] 'Tree # 77 simulated by Birth/Death Process Trees' = ((19:4.556016069145065,((27:2.26829815722068,28:2.26829815722068):1.1774887145662472,((3:1.6878784299765328,(5:1.5668743058312309,((11:0.25061752774139834,22:0.25061752774139834):0.46817335559791173,12:0.7187908833392737):0.8480834224918081):0.12100412414523334):0.2296995316653222,20:1.9175779616418716):1.5282089101450154):1.1102291973587117):6.611165315346212,((25:0.5225664339247557,18:0 [...]
-	TREE  [!(#extinctions 8; generations: 37799)] 'Tree # 78 simulated by Birth/Death Process Trees' = ((((12:0.49505329334724263,19:0.49505329334724263):7.030664065797412,(((29:5.574985089999875,((((23:1.1661244930509413,(13:0.8993945979150498,(28:0.4755846551340418,15:0.4755846551340418):0.42380994278109324):0.26672989513576173):1.546622633736797,9:2.712747126787436):1.7371927526442197,(27:2.469604116820273,((((30:0.14279056462245088,7:0.14279056462245088):0.799361234617609,6:0.9421517992 [...]
-	TREE  [!(#extinctions 8; generations: 22707)] 'Tree # 79 simulated by Birth/Death Process Trees' = (((4:2.9813585225511643,(27:1.9651115327514368,(3:0.23835149878197717,15:0.23835149878197717):1.7267600339694285):1.0162469898002726):2.1824526610597017,((2:1.572177949499127,18:1.572177949499127):3.136526674092807,((30:4.13775660631745,17:4.13775660631792):0.09928162597000031,((20:0.0977603411057714,8:0.0977603411057714):2.195582892114458,(((1:1.7677669529663688E-4,10:1.7677669529663688E- [...]
-	TREE  [!(#extinctions 11; generations: 46637)] 'Tree # 80 simulated by Birth/Death Process Trees' = ((((((7:0.5241455797024402,15:0.5241455797024402):1.0998733332736106,22:1.624018912976275):2.9525164221635785,(((((28:0.4326492656550542,14:0.4326492656550542):0.29576267848407795,30:0.7284119441390895):1.0451029418560895,4:1.7735148859954621):1.2833929041132897,26:3.0569077901085078):0.7512942646674995,(17:3.437767884629166,(19:3.0229453382284457,((((1:1.7677669529663688E-4,32:1.76776695 [...]
-	TREE  [!(#extinctions 6; generations: 36411)] 'Tree # 81 simulated by Birth/Death Process Trees' = ((4:7.4692688790840025,((24:5.891405685572553,(((8:1.7677669529663688E-4,11:1.7677669529663688E-4):0.10978115638594314,20:0.10995793308123979):1.732286425704661,(2:0.356034202634065,27:0.356034202634065):1.486210156151819):4.049161326787823):0.5979654193660034,((21:0.4895887631439498,18:0.4895887631439498):5.785821272286627,(29:2.7586815248823924,((32:0.13851814498730633,28:0.1385181449873 [...]
-	TREE  [!(#extinctions 14; generations: 58070)] 'Tree # 82 simulated by Birth/Death Process Trees' = (((((9:6.36626184208983,((((10:0.7136216418043332,14:0.7136216418043332):2.114946663991763,21:2.8285683057959368):1.4872606304095222,((8:0.9166732187873329,(2:0.22014801954345053,22:0.22014801954345053):0.6965251992439283):3.3034537663330727,(1:1.7963430071671351,((28:1.7677669529663688E-4,26:1.7677669529663688E-4):1.1161895646146847,((23:0.38559318298175904,24:0.38559318298175904):0.0143 [...]
-	TREE  [!(#extinctions 6; generations: 26781)] 'Tree # 83 simulated by Birth/Death Process Trees' = (((((24:1.7913809008170034,32:1.7913809008170034):2.09051267719139,(((23:0.5156632449548593,19:0.5156632449548593):0.24500970241753456,9:0.76067294737235):1.0799072578856141,8:1.8405802052581244):2.0413133727502895):0.9805672104060268,3:4.862460788413861):2.0994356340037266,((((26:1.219301167295142,18:1.219301167295142):0.7181507646799914,22:1.9374519319752845):1.3350354159582207,21:3.2724 [...]
-	TREE  [!(#extinctions 8; generations: 30700)] 'Tree # 84 simulated by Birth/Death Process Trees' = ((7:5.918438544901883,(8:2.4780189954195193,6:2.4780189954195193):3.440419549482):2.1959724692838654,((((20:1.228832526162368,16:1.228832526162368):3.4032872065202975,((5:0.3942232590018981,27:0.3942232590018981):2.8598736974998427,22:3.2540969565017996):1.3780227761812869):0.40896748426285107,17:5.041087216946066):3.0175836818692643,(((((26:2.1165676850779445,1:2.1165676850779445):0.96694 [...]
-	TREE  [!(#extinctions 4; generations: 23855)] 'Tree # 85 simulated by Birth/Death Process Trees' = ((((12:0.14398837854463195,22:0.14398837854463195):3.4003151307419768,(1:3.3630804747740917,32:3.3630804747740584):0.18122303451267366):1.5366374789338937,((17:0.315171053571064,25:0.315171053571064):3.4100779470820197,((14:1.711958413127982,(30:1.7677669529663688E-4,13:1.7677669529663688E-4):1.7117816364326852):2.006603700801184,(5:1.6132662095020127,((10:0.32287272320566757,7:0.322872723 [...]
-	TREE  [!(#extinctions 3; generations: 23064)] 'Tree # 86 simulated by Birth/Death Process Trees' = ((2:1.4434372768042711,10:1.4434372768042711):5.934532306520959,((((19:0.2618369839244492,20:0.2618369839244492):1.143969825998431,(13:0.5694245895779843,16:0.5694245895779843):0.8363822203448283):4.290367597991678,((((31:1.2550819688061319,7:1.2550819688061319):1.136551435978989,(18:2.27055397334273,(9:0.49779685408953134,33:0.49779685408953134):1.7727571192531093):0.1210794314425288):1.7 [...]
-	TREE  [!(#extinctions 14; generations: 47232)] 'Tree # 87 simulated by Birth/Death Process Trees' = (((((((18:0.5747371908338588,(10:0.26834985206703205,6:0.26834985206703205):0.30638733876684776):0.8340372271743856,4:1.4087744180084145):1.9300598527860557,24:3.338834270794699):1.538928437937347,(27:1.9523308056236766,22:1.9523308056236766):2.925431903108085):1.8079568701397695,(((25:4.88553983651316,(11:4.508933571542295,31:4.508933571542295):0.37660626497211436):0.30138967672696815,(( [...]
-	TREE  [!(#extinctions 8; generations: 38954)] 'Tree # 88 simulated by Birth/Death Process Trees' = (((8:3.6667515874035703,((((10:0.3737798448301131,11:0.3737798448301131):0.7484240010000772,(31:0.07990589488081044,12:0.07990589488081044):1.0422979509493882):0.6155336742762547,((25:0.224696884203602,4:0.224696884203602):0.3122870847717398,18:0.5369839689753251):1.2007535511312224):1.0947081473961284,2:2.8324456675026095):0.8343059199011567):0.7233474557353012,6:4.390099043138238):5.0896 [...]
-	TREE  [!(#extinctions 9; generations: 29359)] 'Tree # 89 simulated by Birth/Death Process Trees' = ((((((20:3.354687891620105,(13:3.2140600668408865,25:3.214060066840682):0.1406278247795771):1.9385099963892145,(4:3.8154262426438823,(7:0.11785439233550046,(19:0.045964769383855596,27:0.045964769383855596):0.0718896229516431):3.6975718503080213):1.4777716453660261):0.14668049934503424,16:5.4398783873548):0.7327974384335483,(((15:0.05333155565076163,5:0.05333155565076163):0.3002511648988579 [...]
-	TREE  [!(#extinctions 5; generations: 23583)] 'Tree # 90 simulated by Birth/Death Process Trees' = (((((11:0.5657903353541026,12:0.5657903353541026):1.3033773392673773,30:1.8691676746216306):2.813594568679111,((20:1.7677669529663688E-4,3:1.7677669529663688E-4):4.622836796051525,2:4.623013572746721):0.05974867055291277):0.43046701095941575,((28:0.9339970385844175,(22:0.3590547163739635,18:0.3590547163739635):0.5749423222105533):2.6424444647538725,((21:1.154667550431801,((10:0.61463149619 [...]
-	TREE  [!(#extinctions 12; generations: 35053)] 'Tree # 91 simulated by Birth/Death Process Trees' = (((((((17:2.5233198284300298,((31:0.061780065137508375,5:0.061780065137508375):1.256586581715877,9:1.318366646853408):1.2049531815765848):0.5298409060494728,(30:0.7000403593460761,20:0.7000403593460761):2.353120375133566):2.442659323259341,19:5.495820057738806):1.41093182481202,(((((2:1.4503873453510099,1:1.4503873453510099):0.6730840710591532,7:2.1234714164104536):0.10050863387780798,33: [...]
-	TREE  [!(#extinctions 19; generations: 41325)] 'Tree # 92 simulated by Birth/Death Process Trees' = (((((27:0.020155371870546702,11:0.020155371870546702):0.4418391534223084,24:0.46199452529285584):5.052179500238734,(((19:1.7219079078969663,20:1.7219079078969663):0.22458465568737593,7:1.9464925635843704):0.7830028604444621,16:2.7294954240285936):2.784678601503258):7.4388994300396964,(((33:0.21428674719032612,21:0.21428674719032612):4.909499877715497,((((13:1.6264036199564853,(18:1.177297 [...]
-	TREE  [!(#extinctions 7; generations: 47436)] 'Tree # 93 simulated by Birth/Death Process Trees' = ((33:11.455815786245974,(((15:3.251667729659119,((9:0.21019555354593608,17:0.21019555354593608):0.6785273905117059,5:0.8887229440575899):2.362944785601727):4.804484028991324,((((31:0.7014180598893014,25:0.7014180598893014):3.495962246912657,16:4.1973803068013495):0.9353862663053172,(12:1.0536104571181057,(2:0.5757444852503252,29:0.5757444852503252):0.47786597186781066):4.079156115989782):2 [...]
-	TREE  [!(#extinctions 13; generations: 39096)] 'Tree # 94 simulated by Birth/Death Process Trees' = (((30:3.0954420406550693,(3:2.3840988487790042,(4:1.2498572161996637,28:1.2498572161996637):1.1342416325794495):0.7113431918764666):0.15609234590571758,(10:2.87671966435324,6:2.8767196643532627):0.3748147222077061):8.795086751943105,(((5:5.00019198636404,(((25:1.7677669529663688E-4,24:1.7677669529663688E-4):0.04048469182965987,32:0.04066146852495651):0.1181374286920557,20:0.15879889721701 [...]
-	TREE  [!(#extinctions 17; generations: 38967)] 'Tree # 95 simulated by Birth/Death Process Trees' = ((((17:4.848101897471828,(8:4.294041633613843,((28:0.36318032251851273,23:0.36318032251851273):1.7537161893443125,(2:2.0927041535300672,18:2.0927041535300672):0.02419235833291916):2.1771451217523103):0.5540602638579621):0.5264535240542337,(((19:0.09457836059043183,15:0.09457836059043183):0.6301773089594541,33:0.7247556695498587):2.153789259218499,(21:1.985738711159651,1:1.985738711159651) [...]
-	TREE  [!(#extinctions 20; generations: 48248)] 'Tree # 96 simulated by Birth/Death Process Trees' = (((33:8.223810940088704,(((22:0.402844212030192,(32:0.16951082305550352,15:0.16951082305550352):0.23333338897469144):2.417414976554907,((29:0.7556754308394148,2:0.7556754308394148):0.6696983229372415,16:1.4253737537769335):1.3948854348084234):2.9055820155557335,6:5.725841204140467):2.4979697359478883):2.883674166878249,(23:1.9100784935536725,7:1.9100784935536725):9.197406613414017):0.9858 [...]
-	TREE  [!(#extinctions 9; generations: 33233)] 'Tree # 97 simulated by Birth/Death Process Trees' = ((31:7.768772205311336,(((14:0.7695613793288817,(2:0.1022096552626176,12:0.1022096552626176):0.6673517240662817):1.4339759858683987,(7:0.971444549232117,32:0.971444549232117):1.2320928159651598):4.861155039962269,(((25:0.2806719324181473,27:0.2806719324181473):0.8855297658455332,23:1.1662016982637424):4.869093883103384,(18:3.783099871164788,(24:1.4697451311513898,9:1.4697451311513898):2.31 [...]
-	TREE  [!(#extinctions 24; generations: 71594)] 'Tree # 98 simulated by Birth/Death Process Trees' = (((26:5.1424318677462795,17:5.142431867745805):7.071640399098503,(((((4:0.13045998322931882,28:0.13045998322931882):3.5021476217466954,(6:1.3429864317256808,24:1.3429864317256808):2.2896211732506044):1.389900881607633,(9:2.967170587781851,16:2.967170587781851):2.055337898802229):0.7432359931050039,((23:1.6784989343332584,22:1.6784989343332584):0.5485394679487051,((3:0.07477937071720779,30 [...]
-	TREE  [!(#extinctions 13; generations: 36103)] 'Tree # 99 simulated by Birth/Death Process Trees' = ((((4:3.973472494642045,((17:1.8741792999063613,(29:0.6728905250850542,5:0.6728905250850542):1.2012887748210528):1.5724571059218342,(12:2.4435312228709827,32:2.4435312228709827):1.003105182957402):0.5268360888142491):2.49938809411979,(10:5.085681458086046,((26:2.1371230315240606,(((19:0.3421987234233916,(30:0.13612088398514297,1:0.13612088398514297):0.20607783943824623):0.0718434904069474 [...]
-	TREE  [!(#extinctions 26; generations: 52712)] 'Tree # 100 simulated by Birth/Death Process Trees' = (((((3:0.6148616880550342,(33:0.3394579366180219,(8:0.07401442900046852,(24:1.7677669529663688E-4,14:1.7677669529663688E-4):0.07383765230517188):0.2654435076175517):0.27540375143704915):0.020403375556775093,7:0.6352650636118022):9.273953780168553,((30:0.5322516612621754,(16:0.37889708191073673,27:0.37889708191073673):0.15335457935145208):8.38004443536753,(17:4.948912681485822,(31:1.77913 [...]
-
-END;
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-
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diff --git a/doc/source/examples/pythonidae_combined.nex b/doc/source/examples/pythonidae_combined.nex
deleted file mode 100644
index 22f23b9..0000000
--- a/doc/source/examples/pythonidae_combined.nex
+++ /dev/null
@@ -1,494 +0,0 @@
-#NEXUS
-
-BEGIN TAXA;
-    TITLE 4300387408;
-    DIMENSIONS NTAX=33;
-    TAXLABELS
-        Candoia_aspera
-        Antaresia_melanocephalus
-        Python_reticulatus
-        Morelia_carinata
-        Python_sebae
-        Morelia_boeleni
-        Antaresia_perthensis
-        Liasis_olivaceus
-        Morelia_amethistina
-        Python_curtus
-        Bothrochilus_boa
-        Morelia_nauta
-        Morelia_kinghorni
-        Python_regius
-        Python_molurus
-        Antaresia_stimsoni
-        Morelia_oenpelliensis
-        Morelia_bredli
-        Antaresia_childreni
-        Python_timoriensis
-        Liasis_fuscus
-        Morelia_viridisS
-        Apodora_papuana
-        Morelia_tracyae
-        Liasis_mackloti
-        Antaresia_ramsayi
-        Antaresia_maculosa
-        Liasis_albertisii
-        Morelia_viridisN
-        Morelia_clastolepis
-        Loxocemus_bicolor
-        Morelia_spilota
-        Xenopeltis_unicolor
-  ;
-END;
-
-BEGIN TAXA;
-    TITLE 4368272912;
-    DIMENSIONS NTAX=33;
-    TAXLABELS
-        Xenopeltis_unicolor
-        Loxocemus_bicolor
-        Morelia_spilota
-        Morelia_bredli
-        Morelia_carinata
-        Morelia_amethistina
-        Morelia_oenpelliensis
-        Morelia_boeleni
-        Morelia_viridisS
-        Morelia_viridisN
-        Liasis_olivaceus
-        Liasis_mackloti
-        Liasis_fuscus
-        Liasis_albertisii
-        Apodora_papuana
-        Bothrochilus_boa
-        Antaresia_maculosa
-        Antaresia_stimsoni
-        Antaresia_childreni
-        Antaresia_perthensis
-        Antaresia_melanocephalus
-        Antaresia_ramsayi
-        Python_reticulatus
-        Python_timoriensis
-        Python_sebae
-        Python_molurus
-        Python_curtus
-        Python_regius
-        Candoia_aspera
-        Morelia_nauta
-        Morelia_clastolepis
-        Morelia_tracyae
-        Morelia_kinghorni
-  ;
-END;
-
-BEGIN CHARACTERS;
-    TITLE 4368293584;
-    LINK TAXA = 4368272912;
-    DIMENSIONS NCHAR=2716;
-    FORMAT DATATYPE=DNA GAP=- MISSING=? MATCHCHAR=.;
-    MATRIX
-        Xenopeltis_unicolor         ???????????????????????????????????????????????????????AAACT--AAAATTCCCATTT-CCCACATATAT----GGATATT--ACGAAG--AAAAAA---GGACTAAAAAAAG---TCCTCTCTCGACCCCCCCCCTACCCCCCCCC-ACAGTT---AGTACGGGT------TTTCC-ATATATGTAACTCTTATAGATTTGCCTATCAAGGC-ATACTATGTATAATCATACATTAATGGCTTGCCCCATGAATATTAAACAGGAATTTCCCTTTAAATATTTTAGCCTAAAAAAGCCTTCGTACAGAACTTTAATA----CCACATTTCT-CAGTCGTTCAATGAAGCACGGAT-ATAGTA--TTGTT-GATAACCATGACTATCC--ACATCCAACTTGTCTTACAGGATCTTGCTA-TTCACGTGAAATCCTCTA [...]
-        Loxocemus_bicolor           ???????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????? [...]
-        Morelia_spilota             ?GCCACACCCCTCACTTCCTCC-------------------CAACCATAGTCTGTAA-TTTACAGACTATGGT--CCATGCCTTAATATA-AAGCCAAAAATCCATATAATTTACCACAAAATAAAG-----CTCTCTC-TCGGCCCCCCCCCTACCCCCCCCC---AARAA-CATTGGGGAR------ACCGGCACACAAAACCA--TTARAAAACTCTTAACAAACCT--CTCTATGTATAATCTTACATTAATGGTTTGCCCCATGAATATTAAGCAGGAATTTCCCTTTTATTATTTTAGTCTAAAATGGCCTTTGTACAAAATATTCTG----TCCTCATTCTCTTGGTCGTTCTATGCAGCACGAGTT--AACTA-ATCTT-ATTAATCATGGATATTC-TCAAC-CTAAGGGTGTCTCTTAGTCTAGCG-CTTCCCGTGAAATCCTCTA [...]
-        Morelia_bredli              ?GCCAC-CCCCTCACTTCCT---------------------TAACCATAGTCTGTAA-TTTACAGACTATGGT--CCATGCCTTAATATA-AAACCAAAAATCCATATAATTTACCACAAAATAAAG-----YTYTYTY-TYGGCCCCCCCCCTACMCCCCCCC--AAAGAA-CATTGGGAAA------ACCGGCACACAAAACTA--TTAGAAAACTCTTAACAAACCC--CTCTATGTATAATCTTACATTAATGGTTTGCCTCATGAATATTAAGCAGGAATTTCCCTTTTATTATTTTAGTCTAAAATGGCCTTTGTACAAAACATTCCG----TCCTCATTCTCCTGGTCGTTCTATGCAGCATGAGTT--AACCA-ATCTT-ATTGATCATGGATATTC-TTAAC-CTAAGGGTGTCTCTTATCCTAGCA-CTTCCCGTGAAATCCTCTA [...]
-        Morelia_carinata            ?GCCACAACCCTCACTTCCT--------------------AAAACCATAGTCTGTAAA--TACAGACTATGGT--TCTTACCTCAATATA-AAGCCAAAAACCCATATAAAACGC-ACACAATAAAACG---CTCTC-C-TCGGCCCCCCCCCTACCCCCCCC--ATAATAAACATAGGAGAA------ATCAGCACACAAAACTA--CTGAAGATACCCCCTCATCTCT--CCCTATGTATAATCTTACATTAATGGTTTGCCCCATGAATATTAAGCAGGAATTTCCCTTCAAATATTTTAGTCTAAATAAGCCTTCGTACAGAATATTTAG----TCCTCATTTTC-TGGTCGTTCAATGCAACACGGATT--AATGG-ATCTT-ACTAACCATGGCTATCC-TTGAT-CAAGKGGKGTCTYTTAATCTAGTA-CTTCCCGTGAAACCCTCTA [...]
-        Morelia_amethistina         ?ACCACACCCCTCACTTCCTC--------------------CAACCATAGTCTGTAA-TTTACAGACTATGGT--CCATGCCTTAATATA-AAGCCAAAAATCCATATAATTTACCACAAAATAAAG-----CTCTCTC-TCGGCCCCCCCCCTACCCCCCCCC--AAAAAAACATTGGGGAA------ACCGGCACACAAAACCA--TTAAAAAACTCTTAACAAACCT--CTCTATGTATAATCTTACATTAATGGTTTGCCCCATGAATATTAAGCAGGAATTTCCCTTTTATTATTTTAGTCTAAAATGGCCTTTGTACAAAATATTCTG----TCCTCATTTTCTTGGTCGTTCTATGCAGCATGAGCT--AACTA-ATCTT-ATTAATCATGGATATTC-TTAAC-CTARGGGTGTCTCTTAGTCTAGCG-CTTCCCGTGAAATCCTCTA [...]
-        Morelia_oenpelliensis       ?GCCAC-MCCCTCACTTCCT---------------------TAACCATAGTCTGTAA-TTTACAGACTATGGT--CCATGCCTTAATATA-AAACCAGAAATCCATATAATTTACCACCAAATAAAG-----YTYTYTY-TYGGCCCCCCCCCTACCCCCCCCC--AAAGAA-CATTGGGAGA------ACCGGCACACAAAATTA--TTAGAAGACTTTTAACATACCC--CTCTATGGATAATTTTACATTAATGGTTTGCCTCATGRATATTAAGCAGGGAWTTCCCTTTTATTATTTTAGTCTAAAACGGCCCTTGTACCAGACATTCCG----TCCTCATTCTCCTGGTCGTTCTATGCAGCATGAGTT--AACCA-ATCTT-ATTGATCATGGATATTCCTTGAC-CTAAGGGTGTSTCTTATCCTAGCA-CTTCCCGTGAAATCCT-TA [...]
-        Morelia_boeleni             ??AAACAACCCTCACTTCCTT--------------------CAACCATAGTCTGGA---TTCCAGACTATGGT--TGTTACCTAAAAAACTAAAGAAAAAATCCATATAAAC----------TAAAAA----CTCTCTC-TCGGCCCCCCCCCTACMCCCCCC---GGGTCAGCACAAAAAC-------ATCAC---------------CCAAAAATCCCCCTTTTT-CC--CCCTATGTATAATCTTACATTAATGGTTTGCCCCATGAATAATAAGCAGGAATTTCCCTTTAAATATTTTAGTCTAAAATAGCCTTT-TACATAAAATTATG----TCCTCATTTCT-TGGTCGTTCAATGCAGCACGGATT--AATAT-ATCTT-ATTGATCATGGATATCC-TTGGT-CTAATGGTGTCTCTTAGTCTAACA-CTTCCCGTGAAATCCTCTA [...]
-        Morelia_viridisS            ?A-ATCAACCCTCACTTCCTCC-------------------TAGCCATAGTCTGTAAG-TTACAGACTATGGCT--CATGCCTTAATATATAAACCAAAAACCCATATAAT-CACTGAACAATAAAA-----CTYTYTYCTCGGCCCCCCCCCTACCCCCCCC---GGAAAACCATAAAA---------ATCAGCACATAAATAAA--CCTACTAATCCCATTGCTTCCT---CCTATGTATAATCTTACATTAATGGTTTGCCCCATGAATATTAAGCAGGAATTTCCCTTCAAATATTTTAGCCTAAATTAGCTTCCGTACAAAATATCTAG----CCCTCATTTTC-TGGTCGTTCAATGCAATCGGGGTT--AATAA-ATCTT-ACTAACCATGGATATCC-TTGAT-CAGGTGGTGTCTCTTAATTTAGTA-CTTCCCGTGAAATCCTCTA [...]
-        Morelia_viridisN            ?A-CTCAACCCTCACTTCCTTC-------------------CAGCCATAGTCTGTAAA-TTACAGGCTATGGCT--CATACCTTGATATATAAACCAAAAACCCATATAATTCACCACACAACAAAA-----CTCTCTCCTCGGCCCCCCCC-TACCCCCCCCC--GGAAAAACATAGAAGAA------GTCAGCACAATTAAACT--TACTGATAACCCCTTGCTTCCT--CCCTATGTATAATCTTACATTAATGGTTTGCCCCATGAATATTAAGCAGGAATTTCCCTTCAAATATTTTAGCCTAAAATAGCCTTTGTACAAAATACCTTG----TCCTCATTTTC-TGGTCGTYCAATGCAATCGGGTCT--AACAA-ATCTT-ACTAACCATGGATATCC-TTGAT-CAAGTTGTGTCTCTTAATCTAGTAACTTCCCGTGAAATCCTCTA [...]
-        Liasis_olivaceus            ?GCCACAACCCTCACTTCCCC-----------------ACCTAACCATAGTCTGTAAA-TTACAGACTATGGT--TGATACCTTAATACA-AAGCCGAAACCCCATATAAACAGCACCACAACAAAA----CTCTACTC-TCGGCCCCCCCCCTACMCCCCCCC--ACAAAAACATAGGARAA------ATCAGCACAAACAATC---MCCTAAAATCCCCCCTTAACCC--CCCTATGTATAATCTTACATTAATGGTTTGCCCCATGAATATTAAGCAGGAATTCCCCTTTAAATATTTTAGTCTGAATTAGCCCTTGTACAAAAAATCTTG----TCCTCATTTTC-TGGTCGTTCAATGCAGCACGGATT--AATAG-ATCTT-ATTAACCATGGCTATCC-TTGAT-CTAGTGGTGTCCCATGATCTAGTA-CTTCCCGTGAAATCCTCTA [...]
-        Liasis_mackloti             ?ACCACAACCCTCACTTCCTT--------------------CAGCCATAGTCTGTAA-TTTACAGGCTATGGC--TGATACCTTAATATA-AAACCAAAATCCCATATAAATACCACCACAACAAAG-----CTCTCTC-TCGGCCCCCCCCCTACMCCCCCCC--ACCAAAACATAGAARAA------ATCAGCACAATAAATA---CTARAAGTATTTGCTTCCTTCC--CCCTATGTATAATCTTACATTAATGGTTTGCCCCATGAATATTTAGCAGGAATTTCCCTTTAAATATTTTAGCCTAAAATAGCCTTTGTACACAAAACTATG----TCCTCATTTCT-TGGTCGTTCAATGCAGCACGGATT--AATAG-ATTTT-AATAACCATGACTATCC-TTGAT-CTAGTGGTGTCCCATGATTTAGTA-CTTCCCGTGAAATCCTCTA [...]
-        Liasis_fuscus               ?ACCACAACCCTCACTTCCTC--------------------CAGCCATAGTCTGTAA-TTTACAGGCTATGGC--TGATACCTTAATATA-AAACCAAAATCCCATATAAATACCACCACAACAAAG-----CTCTCTY-TCGGCCCCCCCCCTACCCCCCCCC--ACCAAAACATAGAAGAA------ATCAGCACA-AAATAACA-CTAGAAGTATTACTTCCTTGCC--CCCTATGTATAATCTTACATTAATGGTTTGCCCCATGAATATTTAGCAGGAATTTCCCTTCAAATATTTTAGCCTAAAATAGCCTTCATACATAAAATTATG----TCCTCATTTCT-TGGTCGTTCAATGCAGCACGGATT--AATGG-ATTTT-AATAACCATGACTATCC-TTGAT-CTAGTGGTGTCCCATGATTTAGTA-CTTCCCGTGAAATCCTCTA [...]
-        Liasis_albertisii           ????GCTCCTCTCACTTCCTC--------------------AGACCACAGTCTGCAA---TGCAGACTGTGGTTTTGTGCCCAGAATATA--AACCAAAAAACCATATAAACAACACCRCGACAAAAAAGA--TCTCTC-TCGGCCCCCCCCMTACMCCCCCCC--AAAAAAACATARAGGAA------ATCAG--------------------TTCATARACT--------CTCTATGTATAATCTTACATTAATGGTTTGCCCCATGAATATTAAGCAGGAATTCCCCTTTAAATATTTTAATCTAAATTAGCCTTCGTACACAAAATTCAG----TCCTCATTCTC-TGGTCGTTCAATGCAGCACGGATT--AATCA-GTCTT-ACTAACCATGGATATCC-TTGAT-CTAGTCGTCTCTCTTAGTCTAACA-CTTCCCGTGAAACCCTCTA [...]
-        Apodora_papuana             ?GCCACAACCCTCAMTTCCTT--------------------CAGCCACAGTYTGTAA-TTTACAGACTGTGGC--CCATGCCTCAATATA-AAGCCGAAAATCCATATAAATAACACCAAAACAAAG-----CTYTCCC-TYGGCCCCCCCCCTACCCCCCCCC--AAAAAAATATAGAGAA------CTATAGAACAAATAACCA---CCAAGAAGTTCACTATCCCCC--TCCTATGTATAATCTTACATTAATGGTTTGCCCCATGAATATTAAGCCGGAATTTCCCTTTAAATATTTTAGTCTAAATATGCCCTTGTACACAAAATTCAG----TCCTCATTTCT-TGGTCGTTCAATGCAGCCAGGAAT--AATCA-ATCTT-ATTAACCATGGATATCC-TTGAT-CTAGTGGTGTCTCTTGGTCTAGTA-CTTCCCGTGAAATCCTCTA [...]
-        Bothrochilus_boa            ??GCACCGCCCTCACTTCCTC--------------------CGACCGCAGTCTGCC----AGCAGGCTGCGGTC-GCATGCCCAAAAACACAAACCAAAAAACCATATAAACAACGCCGCAACAAAAGG----YCYCYC-TCGGCCCCCCCCCTAC-CCCCCCC-ACAAAAAACATAGAGAAA------ATCAG--------------------TTTTCACAC---------CCCTATGTATAATCTTACATTAATGGTTTGCCCCATGAATATTAAGCAGGAATTTCCCTTCAAATATTTTAATCTAAAATAGCCTTTGTACATAAAATTTGC----CCCTCATTTCT-TGGTCGTTCAATGCAGCATGGATT--AATCA-GTCTT-ATTAACCATGGATATTC-TCAGT-CTAGTTGTGTCTCTTAGCCTAACA-CTTCCCGTGAAATCCTCTA [...]
-        Antaresia_maculosa          ?ACCACAACCCTCACTTCCTCC--------------------AGCCATAGTCTGTAAATTTACAGACTATGGC--TGATACCTCAACATA-CAGCCAAAATTCCATATAATAT-CCCCACAACAA-----CTYTYTYTCYTYGGCCCCCCCCCTACCCCCCCC---ATCCAAATATATAAGAA------ATCAGCACAATAAACCT--ACTAGGAATTGCCAATAACTCC--CCCTATGTATAATCTTACATTAATGGTTTGCCCCATGAATATTAAGCAGGAATTCCCCTTCAAATATTTTAGTCTAAAATAGCCTTTGTACAGAATATTTAG----TCCTCATTTCT-TGGTCGTTCAATGCAACACGGATT---ATCAGTTCTT-ACTAACCATGGATATCC-TTGAT-CTAGTGGTGTCTCTTAATCTAGTA-CTTCCCGTGAAATCCTCTA [...]
-        Antaresia_stimsoni          ?ACCACAACCCTCAMTTCCTTTCAGCCATAGTCTGTAAATACAGCCATAGTCTGTAAA--TACAGACTATGGC--TGATACCGCCATATA-GAGCCGAAAACCCATATAATATGCCACACAATAAA------CTYTYTCCTYGGCCCCCCCCCTACCCCCCCCC--ATTAAAACATATGGGAA------AACAGCACAAATACATA--TTAAAGAATGTCCAATTAATCC--TCCTATGTATAATCTTACATTAATGGTTTGCCCCATGAATATTAAGCAGGAATTCCCCTTTAAATATTTTAGCCTAAAATGTCCTTCGTACAGAATATTAAG----TCCTCATTTTC-TGGTCGTTCAATGCAATCAGGATT--AATCA-TTCTT-ACTAACCATGGCTATCC-TTGAT-CTAGTGGTGTCCCTTAATTTAGTA-CTTCCCGTGAAATCCTCTA [...]
-        Antaresia_childreni         ?GCCACAACCCTCACTTCCTTCCAGCCATAGTCTGTAAATACAGCCATAGTCTGTAAA--TACAGACTATGGC--TGATGCCGCCATATA-GAGCCGAAAAACCATATAATATACCACACAATAAA------CTCTCTCCTCGGCCCCCCCCCTACCCCCCCCC--ATTAAAACATATGGGAA------AGCAGCACAAATACATA--TTAAAGAATGTCCAATTAATCC--TCCTATGTATAATCTTACATTAATGGTTTGCCCCATGAATATTAAGCAGGAATTCCCCTTTAAATATTTTAGTCTAAAATGTCCTTTGTACAGAATATTTAG----CCCTCATTCTC-TGGTCGTTCAATGCAATCGGGATT--AATCA-TTCTT-AATAACCATGACTATCC-TTGAT-CTAGTGGTGTCCCTTGATTTAGTA-CTTCCCGTGAAATCCTCTA [...]
-        Antaresia_perthensis        ?ATCA-AACCC------------------------AAAACTAAGCCACAGCCTGTTT--AAACAGGCTGTGGC--TGATGCCGCCATACA-AAGCCGAAATTCCATATAACACACCACAATATAAA------CTYTYTCCTYGGCCCCCCCCCTACCCCCCCCC--AACCAAACATATAAGAA------AACAGAACAGTGAACAA--TTAGAGATTCTCCAATTAACTC--TCCTATGTATAATCTTACATTAATGGTTTGCCCCATGGATATTAAGCAGGAATTTCCCTTCAAATATTTTAGTCTAAAATAGCCTTTGTACAGTCTATTTAG----TCCTCATTTTC-TGGTCGTTCAATGCAGCATGGATT--AATCA-TTCTT-ACCGATCATGACTATCC-TTGAT-CTAGTGGTGTCTCTTAATTTAGTA-CTTCCCGTGAAATCCTCTA [...]
-        Antaresia_melanocephalus    ?ACCACA----------CCTTCC-----------------CCAACCATAGTCTGTAACC--ACAGACTATGGT--CGATGTCTCAATATA-AAGCCAAAAATCTATATAAATAAA-ACACAATAAAG-----CTCTCTCCTCGGCCCCCCCC-TACMCCCCCC--ACAAGAAATATAGAAGAA------ACCAGCACATAAGACTA--TAAGGATTCCCCCCTTCTTTCC--CCCTATGTATAATCTTACATTAATGGTTTGCCCCATGAATATTAAGCCGGAATTCCCATTTAAATATTTTAATCTAAATTTGCCTTTGTACTTAAAATTCAG----TCCTCATTTCT-TGGTCGTTCAATGCAGCACGGATT--AATAG-ATCTT-ATTAACCATGGCTATCC-TTGAT-CTAGTGGTGTCCCATGATCTAGCT-CTTCCCGTGAAATCCTCTA [...]
-        Antaresia_ramsayi           ?ACCACG----------CCTTCC-----------------CCA-CCATAGTCTGTAAA-TTACAGACTATGGT--CGTTGCCTCAACATA-AAGCCAAAAACCCATATAAACAAAAC--ATATAAA----CTCTCTCTCCTCGACCCCCCCC-TACCCCCCCC--ACAAGAAATATAGAAGAA------ACCAGCACATAAGACTA--TAAGGATTTCCCCCTCCTTTCC--CCCTATGTATAATCTTACATTAATGGTTTGCCCCATGAATATTAAGCCGGAATTCCCATTTAAATATTTTAATCTAAATT-GCCTTCGTACCTAAAATTCAG----TCCTCATTTCT-TGGTCGTTCAATGCAGCACGGATT--AATAG-ATCTT-ATTAACCATGGCTATCC-TTGAT-CTAGTGGTGTCCCATGATCTAGCT-CTTCCCGTGAAATCCTCTA [...]
-        Python_reticulatus          ??CCATCACCCTCACTTCCTCC--------------------AACCATAGCCAAATA-TTT---GGCTATGGTT-TCATGCCAAAATATATCAACCAAAAACCCATATTAATATAATGCTATAAAATGG-------TCCCTCGACCCCCCCCCTACCCCCCCC--AAAAAA--CATAAGGAAA------GTCCG-CACATCATAAACCTCGTACTTTTCCCTATTTTTT-GCTCCTATGTATAATCTTACATTAATGGCTTGCCCCATGGATAATAAGCAGGAATTTCCCTTTTAATATTTTAGTCTAAATTAGCCTTCGTACAGGTAATTCAGT----CCTCATTTTC-TGGTCGTTCAATGCAGCATGGATT--AATAA-TTGTT-GATAACCATGGATATCC-TTGAT-CTAGTTGTGTCCCTTGATTTAACA-CTTCCCGTGAAATCCTCTA [...]
-        Python_timoriensis          TA-CACCACCA------------------------------AGACCATAGTCGGTAAATC----GACTATGGTCTTTTTACGCCAAAAATACAACCAAAAATCCATATTAATATAGCAATATAAAATAG-------CCCCTCGACCCCCCCCCTACCCCCCCCC-ACAAAAA-TATAAAGAAA------ACCCG-TATGTCATAAACTCCGAATTTTTCCCTATTTTT--GCCCCTATGTATAATCATACATTATTGGCTTGCCCCATGGATAATAAGCAAGAATTCCCTTTTTAATATTTTAGTCTAAAATTGCCTTT-TACAAAAAACTCAGT----CCTCATTTCT-TGGTCGTTCAATGCAGCATGGGCT--AATAA-TTATT-AATAACCATGACTATCC-TTGAT-CTAGTTGTGTCTCTTAGTTTGGTA-CTTCCCGTGAAATCCTCTA [...]
-        Python_sebae                ?????????????????????????????????????????????????????????????????????????????CTTCCTCAGACAC-AAACTCA-ACCTCAAATAAAAATAAAAATAAT-----------CCTACCTCGGCCCCCCCCCTACCCCCCCC--ACTATTT-CATATGGAA-------TACAGGATATATAC-TTTGTTAGAAAAATCCATATTTTTTCTACCCTATGTATAATCTTACATTAATGGCTTGCCCCATGAATAATAAGCGGGAATTCCTAATAAAATATTTTAGCCTAAAATTGCCTTCGTACATAAAATT-AGC---TCCACATTTCTTTGGTCGTTCAATGCTGCANGGATTATAGTAC-TTCTT-AATACACATGACTATCC-TTGAT-CTAGTCGTCTCTCTTAACTTAACA-CTTCCCGTGAAATCCTCTA [...]
-        Python_molurus              ?????????????????????????????????????????????????????????????????????????????CTTCCTCAGACAC-AAACTCA-ACCTCAAATAAAAATAAAAACAAT-----------CCTACCTCGGCCCCCCCCCTACCCCCCCCC-ACTATTT-CATATGGAA-------TACAGGATATATACATTTGTTAGAAAAATCCATATTTTTTCTACCCTATGTATAATCTTACATTAATGGCTTGCCCCATGAATAATAAGCGGGAATTCCTAATAAAATATTTTAGCCTAAAATTGCCTTCGTACATAAAATT-AGC---TCCACATTTCTTTGGTCGTTCAATGCTGCACGGATTATAGTAC-TTCTT-AATACACATGACTATCC-TTGAT-CTAGTCGTCTCTCTTAACTTAACA-CTTCCCGTGAAATCCTCTA [...]
-        Python_curtus               ?CCACAAAA-----------------------------------CCAT-----------------ATTAATYTT--CCCACCTATAAYTA-AACCCGAAATTCCCTATAAA--CACAACAAAAAATA-----CTCCTTCYTCGCCCCCCCCC-TACCCCCCCCCCAC-ATTT-AATATAAGAT------TCTGG--AATATACACACATCGTTAATTTCCATATTTTTT--ATGCTATGTATAATCTTACATTAATGGTTTGCCCCATGAATAATAAGCCGGAATTCCATATTAAATATTTTAGCCTAAAATTGCCTTAGTACCTAAAACT-AGTCCTTCCTCATTTTC-TGGTCGTTCAATGCTGCATGGATT--AATCA-TTCTTTAACAGATATGTCTATCC-TTGAT-CTAGTCGTCTCTCTTAACCTGGCG-CTTCCCGTGAAATCCTCTA [...]
-        Python_regius               ?????????????????????????????????????????????????????????????????????????????TTACCTCAAT----AAACCCAAACCCACTATAAAAATATAA-----------------CCCCCTCGGCCCCCCCCCTTCCCCCCCCC-ACTTACA---TAGGAGGA------TTTAG-ATATATACACATATTAGGATTTTCCCTATCTTTTC-ACCCTATGTATAATCTTACATTAATGGTTTGCCCCATGAATATTAAACCAGAATTTCCAATTAAATATTTTAACCTAAAATTGCCTTCGTACACTACACC-AGT---CCCTCATTTCT-TGGTCGTTCAATGCTGCACGGATTATAGTAC-TTATT-AATGCTCATGTCTATCC-TTGGT-CTAGTGGTGTCTCTTAGTTTAACA-CTTCCCGTGAAATCCTCTA [...]
-        Candoia_aspera              ?????????????????????????????????????????????????????????????????????????????????????????????????AAA----CTA-------------------------CT-CTCTGG-GACCCCCCCC-TACCCCCCCC--AGATAAACTATACTAAAATTTACCTGAGTACACTATGTAAATATTGTACATTAGTCTATATTTC--ATGCTATGTATAATCATACATTAATGATCTGCCCCATGGATAATAAGCAGGAATTTCCCTATTAATATTTCAGCCTATTAATGCCTTAGTACAGTCAGTGTGTC---ACCACATCAT--GGGTCGTTTTATGCAGCAAGGATTA-ACTA--TTATT-GGTAATCATGCCTATCC--TGATCCAAGTTGTC-CTCTTAATCTACCTA-CTCACGTGAAATCCTCTA [...]
-        Morelia_nauta               ???????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????? [...]
-        Morelia_clastolepis         ???????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????? [...]
-        Morelia_tracyae             ???????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????? [...]
-        Morelia_kinghorni           ???????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????? [...]
-    ;
-END;
-
-
-BEGIN TREES;
-    TITLE 4325835408;
-    LINK TAXA = 4300387408;
-    TREE 11 = (Candoia_aspera:0.3846478,(Loxocemus_bicolor:0.2549529,((((Python_sebae:0.06807004,Python_molurus:0.03043545):0.01465748,Python_curtus:0.09600346):0.01247736,Python_regius:0.09841203):0.03751737,((Python_timoriensis:0.06586915,Python_reticulatus:0.04536943):0.07520284,(((((Antaresia_childreni:0.01730015,Antaresia_stimsoni:0.01262602):0.02887657,Antaresia_perthensis:0.06405242):0.01385353,Antaresia_maculosa:0.07585236):0.008884809,(Morelia_carinata:0.05554095,(Morelia_viridi [...]
-    TREE 12 = ((Loxocemus_bicolor:0.2306511,((Python_regius:0.1249936,(Python_curtus:0.1161678,(Python_sebae:0.07594277,Python_molurus:0.04880214):0.01050635):0.009484123):0.05837598,((((Bothrochilus_boa:0.06362487,Liasis_albertisii:0.04429535):0.05290393,(Morelia_boeleni:0.0975965,(((Morelia_tracyae:0.02920131,(Morelia_amethistina:0.02703314,((Morelia_kinghorni:0.0078452,Morelia_nauta:0.005866894):0.005442751,Morelia_clastolepis:0.003560364):0.01476575):0.008177027):0.02992863,Morelia_o [...]
-    TREE 13 = (Candoia_aspera:0.5080599,(Loxocemus_bicolor:0.2965857,(((Python_reticulatus:0.05785765,Python_timoriensis:0.07319806):0.05928309,(((Bothrochilus_boa:0.06122711,Liasis_albertisii:0.06414279):0.03891576,(((((Liasis_fuscus:0.01426001,Liasis_mackloti:0.01729048):0.04258978,Liasis_olivaceus:0.04600247):0.0113502,Apodora_papuana:0.05986282):0.01038398,(Antaresia_ramsayi:0.03308029,Antaresia_melanocephalus:0.0411259):0.04100124):0.01325467,((Morelia_carinata:0.06009035,(Morelia_v [...]
-    TREE 14 = (((((Python_reticulatus:0.06098649,Python_timoriensis:0.06479356):0.06867842,((Morelia_boeleni:0.1040542,((Bothrochilus_boa:0.05386548,Liasis_albertisii:0.06105181):0.04408371,(((Liasis_olivaceus:0.04827163,(Liasis_fuscus:0.01955875,Liasis_mackloti:0.01269835):0.03672677):0.01628567,Apodora_papuana:0.06293987):0.03062699,(Antaresia_ramsayi:0.03533973,Antaresia_melanocephalus:0.04486755):0.05072205):0.00297664):0.004512241):0.001240846,(((Morelia_carinata:0.05786984,(Morelia [...]
-    TREE 15 = (((((Python_reticulatus:0.05439983,Python_timoriensis:0.08321393):0.04871133,((Morelia_boeleni:0.08585758,((Bothrochilus_boa:0.05362335,Liasis_albertisii:0.04403941):0.03032729,((Morelia_oenpelliensis:0.05763201,(((Morelia_kinghorni:0.00341021,Morelia_clastolepis:0.006671437):0.007917761,Morelia_nauta:0.001951335):0.01049725,(Morelia_tracyae:0.05625849,Morelia_amethistina:0.02860654):0.0006372106):0.03067896):0.01095649,(Morelia_spilota:0.02808814,Morelia_bredli:0.03112591) [...]
-    TREE 16 = (((((Python_reticulatus:0.04805722,Python_timoriensis:0.05322303):0.0782823,(((((Antaresia_perthensis:0.06330741,(Antaresia_childreni:0.02077168,Antaresia_stimsoni:0.01869424):0.03122662):0.01200088,Antaresia_maculosa:0.05309401):0.006744738,(Morelia_carinata:0.073235,(Morelia_viridisN:0.03121673,Morelia_viridisS:0.04001572):0.01598083):0.01197911):0.01512452,((Apodora_papuana:0.03974916,((Liasis_fuscus:0.01597086,Liasis_mackloti:0.01058074):0.05649681,Liasis_olivaceus:0.04 [...]
-    TREE 17 = ((Loxocemus_bicolor:0.2487605,((Python_regius:0.1233404,(Python_curtus:0.1077844,(Python_molurus:0.0373181,Python_sebae:0.0759607):0.02438578):0.01916703):0.03225566,((Python_reticulatus:0.06111238,Python_timoriensis:0.06333372):0.06545558,(((Morelia_spilota:0.0228283,Morelia_bredli:0.02804907):0.03880804,((((Morelia_nauta:0.001533473,(Morelia_clastolepis:0.003356968,Morelia_kinghorni:0.007887915):0.005664857):0.01199247,Morelia_amethistina:0.02933171):0.01226355,Morelia_tr [...]
-    TREE 18 = ((Loxocemus_bicolor:0.2507472,((Python_regius:0.1105118,(Python_curtus:0.1086967,(Python_sebae:0.07728629,Python_molurus:0.0423532):0.0213407):0.01968316):0.06155854,((Python_timoriensis:0.07817613,Python_reticulatus:0.07259407):0.07650008,(((((Morelia_viridisS:0.0465201,Morelia_viridisN:0.02961522):0.02715512,Morelia_carinata:0.07196027):0.01556349,(Antaresia_maculosa:0.06562058,((Antaresia_stimsoni:0.01004443,Antaresia_childreni:0.02254039):0.04174026,Antaresia_perthensis [...]
-    TREE 19 = (Candoia_aspera:0.3965166,(Loxocemus_bicolor:0.2679677,((Python_regius:0.1029863,(Python_curtus:0.09892457,(Python_sebae:0.07480435,Python_molurus:0.04166847):0.01203458):0.03734556):0.02161339,((Python_timoriensis:0.0483175,Python_reticulatus:0.05879262):0.06698997,(((Bothrochilus_boa:0.06842803,Liasis_albertisii:0.05331119):0.0440924,((Antaresia_melanocephalus:0.0347434,Antaresia_ramsayi:0.03256232):0.03610559,(Apodora_papuana:0.07975386,((Liasis_mackloti:0.01064635,Liasi [...]
-    TREE 20 = (Candoia_aspera:0.4488251,(Loxocemus_bicolor:0.2850208,((Python_regius:0.1072431,(Python_curtus:0.07993694,(Python_sebae:0.07800197,Python_molurus:0.03348335):0.01611311):0.008776165):0.03537475,((Python_reticulatus:0.05680797,Python_timoriensis:0.06572175):0.05325016,((((Antaresia_perthensis:0.06941898,(Antaresia_childreni:0.0139039,Antaresia_stimsoni:0.0148759):0.04123835):0.00879989,Antaresia_maculosa:0.06008866):0.007626708,(Morelia_carinata:0.07607666,(Morelia_viridisN [...]
-    TREE 21 = ((((Python_timoriensis:0.07117878,Python_reticulatus:0.04821365):0.07463146,(((((Antaresia_perthensis:0.08739655,(Antaresia_stimsoni:0.01621692,Antaresia_childreni:0.02665731):0.04022228):0.008193846,Antaresia_maculosa:0.07342905):0.001017085,((Morelia_viridisS:0.04622026,Morelia_viridisN:0.03667079):0.02958224,Morelia_carinata:0.06285014):0.01282166):0.02229121,(((((Morelia_clastolepis:0.003050844,(Morelia_kinghorni:0.003807813,Morelia_nauta:0.01326833):0.002467171):0.0073 [...]
-    TREE 22 = ((Loxocemus_bicolor:0.196467,Candoia_aspera:0.4000064):0.04033051,((Python_regius:0.1172232,((Python_sebae:0.07022621,Python_molurus:0.03127386):0.01725967,Python_curtus:0.1201985):0.009464382):0.03286576,((Python_timoriensis:0.054655,Python_reticulatus:0.06552768):0.04240201,(((((Antaresia_perthensis:0.05941156,(Antaresia_stimsoni:0.009209314,Antaresia_childreni:0.02528722):0.03086887):0.01323638,Antaresia_maculosa:0.05655764):0.01615778,((Morelia_viridisS:0.03740166,Morel [...]
-    TREE 23 = (Candoia_aspera:0.4592592,(((Python_regius:0.1337113,((Python_sebae:0.05325812,Python_molurus:0.04577269):0.01464595,Python_curtus:0.09770408):0.01604463):0.0451044,((Python_timoriensis:0.07054697,Python_reticulatus:0.06483624):0.07321957,((((Morelia_viridisS:0.04158552,Morelia_viridisN:0.03267045):0.0167798,Morelia_carinata:0.06104408):0.02706362,(Antaresia_maculosa:0.0674958,(Antaresia_perthensis:0.06282181,(Antaresia_stimsoni:0.02007935,Antaresia_childreni:0.01562126):0. [...]
-    TREE 24 = (Candoia_aspera:0.416012,(((((Python_sebae:0.08152061,Python_molurus:0.04775603):0.02331853,Python_curtus:0.09187623):0.0268565,Python_regius:0.1253132):0.04677824,((Python_reticulatus:0.04722766,Python_timoriensis:0.06954232):0.05724026,((((Morelia_spilota:0.02565724,Morelia_bredli:0.02998293):0.03298402,((((Morelia_nauta:0.002384214,(Morelia_clastolepis:0.005820083,Morelia_kinghorni:0.004446333):0.001406536):0.008647775,Morelia_tracyae:0.05487271):0.01087026,Morelia_ameth [...]
-    TREE 25 = ((Loxocemus_bicolor:0.2006045,Candoia_aspera:0.5955799):0.0444977,((Python_regius:0.1046038,((Python_sebae:0.08121141,Python_molurus:0.04485486):0.02542729,Python_curtus:0.09084656):0.0145274):0.05230496,((Python_timoriensis:0.07903435,Python_reticulatus:0.07460281):0.05455651,(((Bothrochilus_boa:0.05585555,Liasis_albertisii:0.05123584):0.03234854,(Morelia_boeleni:0.09132604,((Morelia_oenpelliensis:0.07046467,(Morelia_amethistina:0.0232165,(Morelia_tracyae:0.05046845,((More [...]
-    TREE 26 = ((((((Python_sebae:0.09108678,Python_molurus:0.04955886):0.01999562,Python_curtus:0.1059653):0.01601986,Python_regius:0.1440779):0.02435115,((Python_reticulatus:0.06048541,Python_timoriensis:0.06863296):0.07562467,(((((Morelia_viridisN:0.03454344,Morelia_viridisS:0.05635091):0.02151505,Morelia_carinata:0.06198796):0.01203427,(Antaresia_maculosa:0.0845287,((Antaresia_childreni:0.03515405,Antaresia_stimsoni:0.007169672):0.04130242,Antaresia_perthensis:0.05833049):0.009794389) [...]
-    TREE 27 = (((((Python_timoriensis:0.05751875,Python_reticulatus:0.05970213):0.09181866,(((Antaresia_maculosa:0.06428122,((Antaresia_stimsoni:0.02158674,Antaresia_childreni:0.03257027):0.04245471,Antaresia_perthensis:0.06523106):0.01066557):0.008685391,((Morelia_viridisS:0.05196139,Morelia_viridisN:0.03425494):0.02249345,Morelia_carinata:0.07069562):0.01909782):0.01948604,((((Bothrochilus_boa:0.06369204,Liasis_albertisii:0.04518104):0.02424989,(((Liasis_mackloti:0.01199028,Liasis_fusc [...]
-    TREE 28 = (Candoia_aspera:0.4345551,(Loxocemus_bicolor:0.314093,((Python_regius:0.173824,(Python_curtus:0.1043669,(Python_sebae:0.07896053,Python_molurus:0.05467638):0.01587752):0.03999686):0.04129383,(((Morelia_boeleni:0.0936573,((((Liasis_olivaceus:0.03802104,(Liasis_fuscus:0.02550778,Liasis_mackloti:0.007911858):0.04045908):0.01101188,Apodora_papuana:0.07327953):0.01822209,(Antaresia_melanocephalus:0.03691812,Antaresia_ramsayi:0.02370955):0.0601409):0.007223612,(Liasis_albertisii: [...]
-    TREE 29 = (Candoia_aspera:0.4559287,((((Python_reticulatus:0.05517757,Python_timoriensis:0.06814217):0.08340554,((((((Morelia_tracyae:0.02748149,(Morelia_amethistina:0.03098765,((Morelia_nauta:0.006576406,Morelia_kinghorni:0.007688372):0.0007096533,Morelia_clastolepis:0.00977261):0.0210015):0.006038462):0.02583509,Morelia_oenpelliensis:0.0749369):0.0101301,(Morelia_spilota:0.02004658,Morelia_bredli:0.03451659):0.04024715):0.02746889,(Bothrochilus_boa:0.08344832,Liasis_albertisii:0.04 [...]
-    TREE 30 = (((((((Morelia_bredli:0.02865577,Morelia_spilota:0.03152456):0.02984838,(Morelia_oenpelliensis:0.05957398,((((Morelia_clastolepis:0.009648714,Morelia_kinghorni:0.008176357):0.008419985,Morelia_nauta:0.002053939):0.008951861,Morelia_tracyae:0.03430245):0.007474801,Morelia_amethistina:0.02655718):0.02660193):0.005862491):0.02390784,((((Antaresia_melanocephalus:0.04143373,Antaresia_ramsayi:0.02445915):0.05473143,((Liasis_mackloti:0.01147677,Liasis_fuscus:0.02043269):0.06112321 [...]
-    TREE 31 = (Candoia_aspera:0.3564553,(((((Python_sebae:0.07223247,Python_molurus:0.03344707):0.02744703,Python_curtus:0.100609):0.02068396,Python_regius:0.1083106):0.04848281,((Python_timoriensis:0.07007541,Python_reticulatus:0.06893867):0.08352695,((((Morelia_viridisS:0.05242792,Morelia_viridisN:0.03244932):0.03188631,Morelia_carinata:0.0666426):0.01467226,(Antaresia_maculosa:0.04897325,((Antaresia_stimsoni:0.01523345,Antaresia_childreni:0.02280061):0.03972103,Antaresia_perthensis:0. [...]
-    TREE 32 = (((((((Morelia_boeleni:0.09460149,((Morelia_oenpelliensis:0.06591956,(((Morelia_clastolepis:0.008404051,(Morelia_kinghorni:0.006978938,Morelia_nauta:0.007460564):0.000440772):0.01431461,Morelia_amethistina:0.0208417):0.006610699,Morelia_tracyae:0.02966128):0.05849246):0.008923475,(Morelia_spilota:0.0247648,Morelia_bredli:0.03024164):0.02807078):0.03123918):0.003089671,(Bothrochilus_boa:0.04782091,Liasis_albertisii:0.05497745):0.0331477):0.008159145,(((Liasis_mackloti:0.0134 [...]
-    TREE 33 = ((Loxocemus_bicolor:0.2669451,(((Python_reticulatus:0.05321987,Python_timoriensis:0.06997756):0.05861088,((((((Antaresia_childreni:0.01655703,Antaresia_stimsoni:0.01637029):0.03569376,Antaresia_perthensis:0.06286153):0.007241909,Antaresia_maculosa:0.06266587):0.008208767,((Morelia_viridisN:0.03704275,Morelia_viridisS:0.04520784):0.03192493,Morelia_carinata:0.051277):0.0100963):0.01478441,(((Antaresia_melanocephalus:0.04876354,Antaresia_ramsayi:0.02593541):0.04278765,(Apodor [...]
-    TREE 34 = (Candoia_aspera:0.4569261,(((Python_regius:0.1411037,((Python_sebae:0.06459784,Python_molurus:0.03858578):0.01245523,Python_curtus:0.1156069):0.03368835):0.04372914,((Python_reticulatus:0.04306023,Python_timoriensis:0.06315612):0.07695555,(((((Antaresia_ramsayi:0.04512156,Antaresia_melanocephalus:0.03252252):0.04167882,(Apodora_papuana:0.06102348,(Liasis_olivaceus:0.03044151,(Liasis_fuscus:0.02654637,Liasis_mackloti:0.00437689):0.04196502):0.01919925):0.01657837):0.01029805 [...]
-    TREE 35 = ((((((Python_sebae:0.07121849,Python_molurus:0.02621536):0.01770809,Python_curtus:0.1089461):0.03107291,Python_regius:0.1164904):0.05656528,((Python_reticulatus:0.05387978,Python_timoriensis:0.0633591):0.05634522,(((Morelia_boeleni:0.08749596,((Morelia_spilota:0.02898978,Morelia_bredli:0.02387138):0.0409496,(Morelia_oenpelliensis:0.06187724,((Morelia_nauta:0.006906582,(Morelia_kinghorni:0.01526566,Morelia_clastolepis:0.01043315):0.002784817):0.009692299,(Morelia_amethistina [...]
-    TREE 36 = ((Loxocemus_bicolor:0.3172354,(((Python_curtus:0.08136119,(Python_sebae:0.0735508,Python_molurus:0.03640422):0.01557105):0.0277907,Python_regius:0.09717536):0.04494788,((((Antaresia_maculosa:0.06047012,((Antaresia_stimsoni:0.01936481,Antaresia_childreni:0.0204231):0.02860615,Antaresia_perthensis:0.067609):0.005236841):0.01713776,((Morelia_viridisS:0.04331104,Morelia_viridisN:0.02973395):0.02836114,Morelia_carinata:0.05650005):0.01346905):0.01404818,(((Bothrochilus_boa:0.046 [...]
-    TREE 37 = ((Loxocemus_bicolor:0.2740998,Candoia_aspera:0.4155202):0.02116592,(((((Morelia_boeleni:0.06929356,((Morelia_oenpelliensis:0.07583182,(Morelia_amethistina:0.01459558,((Morelia_nauta:0.007322429,(Morelia_clastolepis:0.01181237,Morelia_kinghorni:0.005259852):0.003398728):0.03372015,Morelia_tracyae:0.03434483):0.02091431):0.03202138):0.005658255,(Morelia_bredli:0.02809767,Morelia_spilota:0.03355095):0.02263292):0.02159314):0.00291552,(((Antaresia_melanocephalus:0.05160809,Anta [...]
-    TREE 38 = (Candoia_aspera:0.4059339,(Loxocemus_bicolor:0.3025017,(((((Morelia_boeleni:0.07452276,((Morelia_bredli:0.02106962,Morelia_spilota:0.0320159):0.03108456,(((Morelia_amethistina:0.02608054,((Morelia_nauta:0.009185291,Morelia_kinghorni:0.006006182):0.004924326,Morelia_clastolepis:0.00406642):0.01622507):0.01576933,Morelia_tracyae:0.05538706):0.02692716,Morelia_oenpelliensis:0.05802539):0.005663774):0.02119685):0.005774344,(((Antaresia_melanocephalus:0.04396474,Antaresia_ramsay [...]
-    TREE 39 = (Candoia_aspera:0.3487431,(Loxocemus_bicolor:0.2715437,((Python_regius:0.108148,((Python_molurus:0.04219487,Python_sebae:0.06968664):0.02150992,Python_curtus:0.1232163):0.0239361):0.0522518,(((((Bothrochilus_boa:0.06552829,Liasis_albertisii:0.03917488):0.02331611,((((Liasis_fuscus:0.02518991,Liasis_mackloti:0.00890263):0.04813051,Liasis_olivaceus:0.0405597):0.01507422,Apodora_papuana:0.07516039):0.01507437,(Antaresia_ramsayi:0.04147509,Antaresia_melanocephalus:0.045958):0.0 [...]
-    TREE 40 = (Candoia_aspera:0.5223368,(((Python_regius:0.1034435,((Python_molurus:0.04249723,Python_sebae:0.07799269):0.01292014,Python_curtus:0.09253175):0.02023361):0.03960567,(((((Morelia_spilota:0.02882786,Morelia_bredli:0.02270972):0.02443599,(((Morelia_amethistina:0.02571044,((Morelia_kinghorni:0.01171321,Morelia_nauta:0.00610836):0.00422032,Morelia_clastolepis:0.004021223):0.01317024):0.00131684,Morelia_tracyae:0.03160369):0.03319636,Morelia_oenpelliensis:0.06634761):0.005747809 [...]
-    TREE 41 = (Candoia_aspera:0.4850667,(Loxocemus_bicolor:0.2902032,((Python_regius:0.1196588,(Python_curtus:0.08757062,(Python_sebae:0.07518693,Python_molurus:0.03538358):0.0142014):0.01088135):0.030351,(((((Morelia_viridisS:0.05240148,Morelia_viridisN:0.04396064):0.01791946,Morelia_carinata:0.06703203):0.01547424,(Antaresia_maculosa:0.08728829,(Antaresia_perthensis:0.06958781,(Antaresia_stimsoni:0.01361088,Antaresia_childreni:0.02863435):0.04253736):0.02274367):0.01055237):0.02506572, [...]
-    TREE 42 = (Candoia_aspera:0.4227249,(Loxocemus_bicolor:0.2630346,((Python_regius:0.1292282,((Python_sebae:0.07375409,Python_molurus:0.05145713):0.009915304,Python_curtus:0.104214):0.02208551):0.03973028,((Python_timoriensis:0.0722339,Python_reticulatus:0.07091186):0.05739378,((((Morelia_boeleni:0.09101835,((Morelia_bredli:0.0278041,Morelia_spilota:0.03169677):0.02124261,(Morelia_oenpelliensis:0.05296945,((Morelia_tracyae:0.05372661,((Morelia_clastolepis:0.008265544,Morelia_kinghorni: [...]
-    TREE 43 = (Candoia_aspera:0.5153805,((((Python_curtus:0.07863771,(Python_sebae:0.08222992,Python_molurus:0.04254121):0.01317515):0.02583793,Python_regius:0.137146):0.05263082,(((Morelia_boeleni:0.1016967,(((Bothrochilus_boa:0.04778673,Liasis_albertisii:0.05529477):0.04329956,(Antaresia_ramsayi:0.02994375,Antaresia_melanocephalus:0.0416666):0.05128635):0.001794929,(Apodora_papuana:0.06170972,(Liasis_olivaceus:0.03671799,(Liasis_mackloti:0.006090192,Liasis_fuscus:0.02565038):0.03958824 [...]
-    TREE 44 = ((Loxocemus_bicolor:0.2648974,((((((Morelia_spilota:0.01775619,Morelia_bredli:0.02572672):0.03433169,((Morelia_tracyae:0.03554912,(((Morelia_kinghorni:0.004910661,Morelia_nauta:0.01120176):0.01147165,Morelia_clastolepis:0.003855517):0.01543003,Morelia_amethistina:0.02183181):0.012722):0.02702229,Morelia_oenpelliensis:0.05908537):0.007540966):0.02306979,(((((Antaresia_childreni:0.02080121,Antaresia_stimsoni:0.01730966):0.02730232,Antaresia_perthensis:0.0794485):0.01868214,An [...]
-    TREE 45 = (((((Python_reticulatus:0.06082482,Python_timoriensis:0.05976824):0.07470233,(((((Antaresia_childreni:0.01703978,Antaresia_stimsoni:0.01702941):0.03308871,Antaresia_perthensis:0.08043923):0.01555501,Antaresia_maculosa:0.0884772):0.005314314,(Morelia_carinata:0.0651085,(Morelia_viridisN:0.04315993,Morelia_viridisS:0.05203646):0.02278244):0.01707531):0.02346517,(((Antaresia_melanocephalus:0.04749625,Antaresia_ramsayi:0.03669699):0.03379984,((Liasis_olivaceus:0.04033815,Apodor [...]
-    TREE 46 = (Candoia_aspera:0.5322171,((((Python_reticulatus:0.0535918,Python_timoriensis:0.06535871):0.06768871,(((((Antaresia_melanocephalus:0.03916935,Antaresia_ramsayi:0.0373195):0.04072262,(((Liasis_fuscus:0.01736701,Liasis_mackloti:0.01169367):0.0425045,Liasis_olivaceus:0.03651515):0.008463145,Apodora_papuana:0.06127901):0.01813412):0.006101433,(Liasis_albertisii:0.05168434,Bothrochilus_boa:0.05431427):0.03115496):0.005398566,(Morelia_boeleni:0.06280028,(((Morelia_tracyae:0.02379 [...]
-    TREE 47 = ((((((Morelia_boeleni:0.08532348,((Morelia_spilota:0.02557332,Morelia_bredli:0.02833054):0.03910548,(((Morelia_amethistina:0.0250698,((Morelia_nauta:0.008027407,Morelia_kinghorni:0.01428535):0.01094484,Morelia_clastolepis:0.00227683):0.01955651):0.005372779,Morelia_tracyae:0.03145023):0.03441583,Morelia_oenpelliensis:0.05781036):0.005803634):0.02195589):0.002986267,((Bothrochilus_boa:0.06447638,Liasis_albertisii:0.04012674):0.03942857,((Antaresia_ramsayi:0.04033451,Antaresi [...]
-    TREE 48 = (Candoia_aspera:0.4436023,(Loxocemus_bicolor:0.2369616,(((Python_curtus:0.09049056,(Python_molurus:0.029384,Python_sebae:0.0627384):0.01268501):0.01953619,Python_regius:0.1171373):0.04828605,((Python_timoriensis:0.06139592,Python_reticulatus:0.0646338):0.07305738,(((((Antaresia_stimsoni:0.02057256,Antaresia_childreni:0.02154838):0.03608791,Antaresia_perthensis:0.07564235):0.01173533,Antaresia_maculosa:0.07024714):0.01354829,(Morelia_carinata:0.0709676,(Morelia_viridisS:0.04 [...]
-    TREE 49 = ((Loxocemus_bicolor:0.3405555,(((((((Morelia_spilota:0.02807685,Morelia_bredli:0.02566795):0.03087109,(Morelia_oenpelliensis:0.06798181,(Morelia_tracyae:0.02098472,(Morelia_amethistina:0.02311013,((Morelia_nauta:0.004146555,Morelia_kinghorni:0.009369746):0.00429045,Morelia_clastolepis:0.008566892):0.01380615):0.006610653):0.03471999):0.003897041):0.01810336,((Morelia_carinata:0.06383306,(Morelia_viridisN:0.03476118,Morelia_viridisS:0.05680829):0.02523946):0.009249984,(Antar [...]
-    TREE 50 = (Candoia_aspera:0.365292,(Loxocemus_bicolor:0.310124,((((Python_sebae:0.08393153,Python_molurus:0.04102906):0.02198402,Python_curtus:0.08610296):0.01361938,Python_regius:0.1521334):0.04792291,((Python_timoriensis:0.08534907,Python_reticulatus:0.06216048):0.07485164,(((((((Morelia_amethistina:0.03515294,(Morelia_clastolepis:0.004999444,(Morelia_nauta:0.009645939,Morelia_kinghorni:0.008671095):0.0001768814):0.02966952):0.01516104,Morelia_tracyae:0.04027297):0.01631001,Morelia [...]
-    TREE 51 = (Candoia_aspera:0.5449368,((((Python_reticulatus:0.09099772,Python_timoriensis:0.07144241):0.05727305,(((Morelia_carinata:0.0577648,(Morelia_viridisN:0.03065865,Morelia_viridisS:0.04847735):0.02928353):0.008153621,(Antaresia_maculosa:0.05881195,(Antaresia_perthensis:0.06472734,(Antaresia_childreni:0.02932234,Antaresia_stimsoni:0.02067186):0.04013394):0.01273477):0.01701452):0.01169918,(((Antaresia_ramsayi:0.03842948,Antaresia_melanocephalus:0.03766409):0.0452689,((Liasis_ol [...]
-    TREE 52 = (Candoia_aspera:0.4119319,(((Python_regius:0.1152994,((Python_sebae:0.07552402,Python_molurus:0.03490164):0.01108603,Python_curtus:0.1145467):0.01901207):0.0443746,((((Morelia_carinata:0.06566802,(Morelia_viridisN:0.03596026,Morelia_viridisS:0.0471616):0.01708947):0.01026524,(Antaresia_maculosa:0.06025642,(Antaresia_perthensis:0.05098101,(Antaresia_childreni:0.01934081,Antaresia_stimsoni:0.0135667):0.03058171):0.009517906):0.01267591):0.008263889,((((Morelia_spilota:0.02344 [...]
-    TREE 53 = ((((Python_regius:0.1254009,(Python_curtus:0.08753147,(Python_molurus:0.04027961,Python_sebae:0.08576586):0.02140595):0.02317131):0.0390212,((((Morelia_boeleni:0.07962354,((Morelia_spilota:0.03086129,Morelia_bredli:0.03248024):0.03102577,((Morelia_tracyae:0.04475659,(Morelia_amethistina:0.03098438,((Morelia_kinghorni:0.008669885,Morelia_nauta:0.005987475):0.002591122,Morelia_clastolepis:0.002634122):0.01566736):0.01338949):0.02701571,Morelia_oenpelliensis:0.07358275):0.0088 [...]
-    TREE 54 = (Candoia_aspera:0.4297135,((((((Antaresia_maculosa:0.07003845,(Antaresia_perthensis:0.06743232,(Antaresia_childreni:0.02884627,Antaresia_stimsoni:0.02139588):0.03896306):0.01121203):0.008262347,((Morelia_viridisS:0.046964,Morelia_viridisN:0.03312958):0.03465966,Morelia_carinata:0.06247932):0.01828836):0.01619593,((((Apodora_papuana:0.04879782,((Liasis_mackloti:0.01053472,Liasis_fuscus:0.02365744):0.04023937,Liasis_olivaceus:0.03599876):0.01405198):0.01631438,(Antaresia_mela [...]
-    TREE 55 = (Candoia_aspera:0.4032337,(((((Python_molurus:0.03143687,Python_sebae:0.09823878):0.02140932,Python_curtus:0.09608987):0.01506344,Python_regius:0.1271778):0.05095627,((((((Morelia_oenpelliensis:0.0740013,((Morelia_amethistina:0.02689424,(Morelia_nauta:0.005721368,(Morelia_clastolepis:0.00501394,Morelia_kinghorni:0.007579701):0.008862685):0.01332026):0.002459013,Morelia_tracyae:0.03682387):0.0356683):0.005829372,(Morelia_spilota:0.02072617,Morelia_bredli:0.0303542):0.0297485 [...]
-    TREE 56 = ((((Python_curtus:0.09610909,(Python_sebae:0.0763935,Python_molurus:0.04010346):0.01665276):0.01579041,Python_regius:0.1201013):0.02228269,((((((Antaresia_stimsoni:0.009933382,Antaresia_childreni:0.02504422):0.03898344,Antaresia_perthensis:0.07441505):0.01655102,Antaresia_maculosa:0.06341264):0.00423628,(Morelia_carinata:0.06782785,(Morelia_viridisS:0.0406782,Morelia_viridisN:0.03474428):0.02682416):0.01516531):0.02205259,((Morelia_boeleni:0.07700987,((((Morelia_amethistina [...]
-    TREE 57 = (Candoia_aspera:0.4153505,(Loxocemus_bicolor:0.2791384,((Python_regius:0.1064145,(Python_curtus:0.1071383,(Python_sebae:0.07241633,Python_molurus:0.04887044):0.01224031):0.020618):0.04332308,((Python_reticulatus:0.06484751,Python_timoriensis:0.05405059):0.04751213,((((Bothrochilus_boa:0.05362835,Liasis_albertisii:0.04960141):0.0356816,((Antaresia_ramsayi:0.03268517,Antaresia_melanocephalus:0.03758129):0.03736965,((Liasis_olivaceus:0.04277857,Apodora_papuana:0.06016667):0.00 [...]
-    TREE 58 = (Candoia_aspera:0.4873354,(Loxocemus_bicolor:0.2332783,(((((((((Liasis_mackloti:0.007309739,Liasis_fuscus:0.0279446):0.05690776,Liasis_olivaceus:0.03166848):0.01372647,Apodora_papuana:0.0585181):0.01686857,(Antaresia_melanocephalus:0.04486908,Antaresia_ramsayi:0.03001735):0.04537131):0.007726529,(Bothrochilus_boa:0.08559648,Liasis_albertisii:0.06387931):0.0357606):0.007852339,Morelia_boeleni:0.08361377):0.0009829988,(((Antaresia_maculosa:0.07797792,(Antaresia_perthensis:0.0 [...]
-    TREE 59 = ((Candoia_aspera:0.4578877,(((Python_reticulatus:0.06169376,Python_timoriensis:0.08422366):0.05572204,(((Morelia_boeleni:0.0931297,((((Antaresia_childreni:0.02158899,Antaresia_stimsoni:0.01438034):0.03998282,Antaresia_perthensis:0.06970084):0.01535176,Antaresia_maculosa:0.07081544):0.01052213,(Morelia_carinata:0.0774876,(Morelia_viridisN:0.03236672,Morelia_viridisS:0.07599355):0.01839833):0.01302615):0.01439441):0.0008917252,((Liasis_albertisii:0.039823,Bothrochilus_boa:0.0 [...]
-    TREE 60 = ((Loxocemus_bicolor:0.2564752,Candoia_aspera:0.430636):0.02776712,(((Python_reticulatus:0.05389938,Python_timoriensis:0.07081924):0.05042149,((Bothrochilus_boa:0.0657108,Liasis_albertisii:0.04306774):0.03297476,((((Morelia_spilota:0.02325149,Morelia_bredli:0.02818583):0.02944659,(Morelia_oenpelliensis:0.05882524,(Morelia_amethistina:0.02618559,(((Morelia_clastolepis:0.00525444,Morelia_kinghorni:0.004066344):0.003764506,Morelia_nauta:0.005986931):0.00816707,Morelia_tracyae:0 [...]
-    TREE 61 = ((Loxocemus_bicolor:0.2390967,Candoia_aspera:0.4592643):0.04768498,((((((((Apodora_papuana:0.06974535,Liasis_olivaceus:0.03615791):0.01678672,(Liasis_fuscus:0.01981257,Liasis_mackloti:0.007387913):0.03607835):0.02837702,(Antaresia_melanocephalus:0.0413593,Antaresia_ramsayi:0.02633209):0.05602189):0.01375102,((Antaresia_maculosa:0.06634786,((Antaresia_childreni:0.02528178,Antaresia_stimsoni:0.01857345):0.03243086,Antaresia_perthensis:0.06599134):0.007734964):0.00491988,(More [...]
-    TREE 62 = ((Loxocemus_bicolor:0.3119484,((Python_regius:0.09866725,(Python_curtus:0.1245086,(Python_sebae:0.07169133,Python_molurus:0.03607564):0.01980528):0.02430393):0.02232077,((Python_reticulatus:0.0580492,Python_timoriensis:0.07219332):0.05736778,((((Bothrochilus_boa:0.06789342,Liasis_albertisii:0.0626714):0.0318012,((Antaresia_ramsayi:0.0316683,Antaresia_melanocephalus:0.04699017):0.05802338,(Apodora_papuana:0.06741561,(Liasis_olivaceus:0.03440653,(Liasis_fuscus:0.0262918,Liasi [...]
-    TREE 63 = ((((Python_regius:0.1045362,(Python_curtus:0.0815732,(Python_sebae:0.0731453,Python_molurus:0.04121527):0.01532189):0.01994899):0.03798915,((Python_timoriensis:0.06294615,Python_reticulatus:0.05094862):0.0574045,((Morelia_boeleni:0.08758336,(((((Liasis_mackloti:0.004929908,Liasis_fuscus:0.02028416):0.0462742,Liasis_olivaceus:0.03706543):0.01458087,Apodora_papuana:0.05878766):0.01585728,(Antaresia_ramsayi:0.01785121,Antaresia_melanocephalus:0.05271079):0.04691403):0.00569747 [...]
-    TREE 64 = (Candoia_aspera:0.5268895,((((Python_reticulatus:0.05913797,Python_timoriensis:0.06249719):0.05855848,(((((Antaresia_perthensis:0.06857628,(Antaresia_childreni:0.02184403,Antaresia_stimsoni:0.01644374):0.02731027):0.01049891,Antaresia_maculosa:0.06825385):0.0212855,(Morelia_carinata:0.05797942,(Morelia_viridisN:0.04222686,Morelia_viridisS:0.03983184):0.02372562):0.007988327):0.01161671,(Morelia_boeleni:0.08816773,((Bothrochilus_boa:0.0735602,Liasis_albertisii:0.05135359):0. [...]
-    TREE 65 = ((((((Python_molurus:0.05248859,Python_sebae:0.08445334):0.01912769,Python_curtus:0.1068431):0.01303875,Python_regius:0.1060619):0.04121669,((Python_reticulatus:0.06641269,Python_timoriensis:0.06510396):0.05472704,(((Apodora_papuana:0.06501856,((Liasis_fuscus:0.01938097,Liasis_mackloti:0.007993713):0.04233311,Liasis_olivaceus:0.04417499):0.007100968):0.01449947,(Antaresia_melanocephalus:0.03318174,Antaresia_ramsayi:0.02608021):0.04401241):0.02197335,(((((Morelia_spilota:0.0 [...]
-    TREE 66 = ((((((Python_molurus:0.04811833,Python_sebae:0.07004114):0.02196186,Python_curtus:0.1096454):0.01956063,Python_regius:0.1123615):0.03691369,(((((Liasis_albertisii:0.05370764,Bothrochilus_boa:0.06265907):0.03561458,((Apodora_papuana:0.07272776,((Liasis_fuscus:0.01370828,Liasis_mackloti:0.02309465):0.05741218,Liasis_olivaceus:0.04167728):0.01163812):0.01665479,(Antaresia_melanocephalus:0.0253543,Antaresia_ramsayi:0.03190032):0.05173058):0.0008003378):0.005472764,Morelia_boele [...]
-    TREE 67 = ((((((Python_sebae:0.06236479,Python_molurus:0.04213767):0.01777824,Python_curtus:0.1021113):0.01363883,Python_regius:0.1001127):0.01958544,((Python_timoriensis:0.04812869,Python_reticulatus:0.06212032):0.06951745,(((Morelia_boeleni:0.07786193,((Morelia_spilota:0.02928192,Morelia_bredli:0.01920753):0.02754254,((Morelia_amethistina:0.02519712,(Morelia_tracyae:0.03750275,((Morelia_kinghorni:0.0112295,Morelia_nauta:0.01662518):0.008346236,Morelia_clastolepis:0.005399784):0.010 [...]
-    TREE 68 = ((Loxocemus_bicolor:0.3421064,((Python_regius:0.1115622,(Python_curtus:0.09826584,(Python_sebae:0.07191922,Python_molurus:0.04064791):0.01578384):0.01438764):0.04523101,((Python_timoriensis:0.06358136,Python_reticulatus:0.05833856):0.06307472,((((Morelia_carinata:0.05734906,(Morelia_viridisS:0.04318783,Morelia_viridisN:0.04583721):0.01821118):0.01545327,((Antaresia_perthensis:0.06296287,(Antaresia_stimsoni:0.01706827,Antaresia_childreni:0.02104141):0.03055942):0.01182927,An [...]
-    TREE 69 = ((Candoia_aspera:0.4450836,Loxocemus_bicolor:0.3174019):0.02447175,((Python_regius:0.1424483,((Python_molurus:0.03302827,Python_sebae:0.07146083):0.01905547,Python_curtus:0.1159114):0.0381509):0.04241104,(((((((Antaresia_childreni:0.01890977,Antaresia_stimsoni:0.01517946):0.035416,Antaresia_perthensis:0.06857496):0.01161928,Antaresia_maculosa:0.07220173):0.007211953,(Morelia_carinata:0.0642391,(Morelia_viridisN:0.03726853,Morelia_viridisS:0.05549287):0.01029716):0.0189687): [...]
-    TREE 70 = ((Loxocemus_bicolor:0.2857882,(((Python_curtus:0.09804145,(Python_molurus:0.04031657,Python_sebae:0.07843305):0.02059991):0.02529989,Python_regius:0.117949):0.04936197,((((((Morelia_oenpelliensis:0.06557468,(Morelia_tracyae:0.04528187,((Morelia_clastolepis:0.004341288,(Morelia_kinghorni:0.01006468,Morelia_nauta:0.004045206):0.004556852):0.01467889,Morelia_amethistina:0.02757685):0.005371513):0.05121582):0.003292884,(Morelia_spilota:0.01948951,Morelia_bredli:0.03155399):0.03 [...]
-    TREE 71 = (Candoia_aspera:0.4717339,(((((((Bothrochilus_boa:0.05883323,Liasis_albertisii:0.05456283):0.02271329,((Apodora_papuana:0.05998257,(Liasis_olivaceus:0.02913736,(Liasis_fuscus:0.01732647,Liasis_mackloti:0.01674711):0.04874046):0.008143937):0.01887131,(Antaresia_ramsayi:0.04183237,Antaresia_melanocephalus:0.04076158):0.04427686):0.009855444):0.01066004,(((Morelia_oenpelliensis:0.04305822,((Morelia_clastolepis:0.002836661,(Morelia_nauta:0.01515712,Morelia_kinghorni:0.004505663 [...]
-    TREE 72 = (Candoia_aspera:0.4905738,(Loxocemus_bicolor:0.2519591,(((Python_timoriensis:0.07404226,Python_reticulatus:0.05474481):0.06644049,(((Morelia_boeleni:0.09095004,((Morelia_bredli:0.02959755,Morelia_spilota:0.0353426):0.02959985,(((Morelia_amethistina:0.02093452,(Morelia_nauta:0.004317592,(Morelia_kinghorni:0.009871938,Morelia_clastolepis:0.0136011):0.006546919):0.03087369):0.01212434,Morelia_tracyae:0.03055861):0.05770397,Morelia_oenpelliensis:0.07079792):0.003571392):0.03535 [...]
-    TREE 73 = (Candoia_aspera:0.4598036,(((((((Morelia_spilota:0.01982865,Morelia_bredli:0.02966733):0.03884227,((Morelia_tracyae:0.03055964,(((Morelia_kinghorni:0.004122602,Morelia_clastolepis:0.006418796):0.006158391,Morelia_nauta:0.00751089):0.02200455,Morelia_amethistina:0.02131889):0.01090798):0.01356813,Morelia_oenpelliensis:0.05887202):0.01445794):0.02558764,((((Antaresia_ramsayi:0.02479341,Antaresia_melanocephalus:0.04232038):0.04453974,(Apodora_papuana:0.05413614,((Liasis_fuscus [...]
-    TREE 74 = (((Python_regius:0.122777,((Python_molurus:0.03861148,Python_sebae:0.08854008):0.01836058,Python_curtus:0.1087409):0.02868272):0.03219403,((((((Morelia_oenpelliensis:0.0601058,((Morelia_amethistina:0.0244574,Morelia_tracyae:0.0397486):0.0001275072,(Morelia_nauta:0.004788438,(Morelia_clastolepis:0.005838887,Morelia_kinghorni:0.01017217):0.001899022):0.01904309):0.04300782):0.00633599,(Morelia_spilota:0.02559737,Morelia_bredli:0.02940281):0.02435702):0.0246874,((Antaresia_mac [...]
-    TREE 75 = (((Python_regius:0.1185489,(Python_curtus:0.08720485,(Python_molurus:0.0435094,Python_sebae:0.08370481):0.01269984):0.0270439):0.05088809,((((Liasis_albertisii:0.05173274,Bothrochilus_boa:0.05183286):0.05072088,(((Antaresia_melanocephalus:0.03656163,Antaresia_ramsayi:0.03155388):0.03835047,(((Liasis_fuscus:0.01454665,Liasis_mackloti:0.01162582):0.0407249,Liasis_olivaceus:0.03344422):0.01447517,Apodora_papuana:0.06149126):0.01772949):0.01052499,((((Antaresia_childreni:0.0190 [...]
-    TREE 76 = ((Loxocemus_bicolor:0.289421,(((Python_curtus:0.1034425,(Python_molurus:0.03838318,Python_sebae:0.0657545):0.005487207):0.01794188,Python_regius:0.1158322):0.02708483,((((((Apodora_papuana:0.05140632,(Liasis_olivaceus:0.03483575,(Liasis_fuscus:0.0167882,Liasis_mackloti:0.01303193):0.0447589):0.007661923):0.0181732,(Antaresia_melanocephalus:0.03623783,Antaresia_ramsayi:0.02679624):0.04371616):0.001420114,(Liasis_albertisii:0.05907394,Bothrochilus_boa:0.06117998):0.04004438): [...]
-    TREE 77 = ((Loxocemus_bicolor:0.3190314,(((((Morelia_boeleni:0.07978362,((Morelia_spilota:0.02172516,Morelia_bredli:0.026232):0.03155658,((Morelia_amethistina:0.02728021,(Morelia_tracyae:0.05859969,((Morelia_clastolepis:0.004245739,Morelia_kinghorni:0.007346214):0.006021728,Morelia_nauta:0.01110223):0.0109052):0.00218281):0.02807543,Morelia_oenpelliensis:0.05684937):0.006062989):0.01907406):0.00915462,(Liasis_albertisii:0.03894934,Bothrochilus_boa:0.0623029):0.0322232):0.002144932,(( [...]
-    TREE 78 = ((Loxocemus_bicolor:0.2229325,Candoia_aspera:0.4421281):0.03062222,(((((((Morelia_bredli:0.03399205,Morelia_spilota:0.02517605):0.02337728,(((Morelia_amethistina:0.01529103,(Morelia_clastolepis:0.006187776,(Morelia_kinghorni:0.01337353,Morelia_nauta:0.005734063):0.005374756):0.02460788):0.001540486,Morelia_tracyae:0.03329582):0.0333974,Morelia_oenpelliensis:0.07525567):0.00578434):0.02385279,Morelia_boeleni:0.08113851):0.006018764,(((Antaresia_melanocephalus:0.04012,Antares [...]
-    TREE 79 = ((Loxocemus_bicolor:0.2068851,Candoia_aspera:0.4157484):0.06394592,((Python_regius:0.1119306,((Python_molurus:0.02507726,Python_sebae:0.06768835):0.01273502,Python_curtus:0.09793023):0.02951751):0.03910106,(((((Morelia_spilota:0.02664926,Morelia_bredli:0.03702698):0.02468232,(Morelia_oenpelliensis:0.05764724,((Morelia_amethistina:0.02414779,(Morelia_clastolepis:0.005833709,(Morelia_nauta:0.007372257,Morelia_kinghorni:0.0086475):0.00620881):0.01279634):0.008251266,Morelia_tr [...]
-    TREE 80 = (Candoia_aspera:0.391632,(Loxocemus_bicolor:0.2646089,(((Python_reticulatus:0.05737131,Python_timoriensis:0.06872314):0.05957824,(((((Antaresia_childreni:0.02040491,Antaresia_stimsoni:0.01350101):0.03175717,Antaresia_perthensis:0.06307919):0.01255095,Antaresia_maculosa:0.07096548):0.01294142,(Morelia_carinata:0.0554948,(Morelia_viridisN:0.03206945,Morelia_viridisS:0.04474466):0.02886815):0.008750372):0.01658624,(((Bothrochilus_boa:0.05867584,Liasis_albertisii:0.04518102):0. [...]
-    TREE 81 = (Candoia_aspera:0.3679055,((((Python_curtus:0.09829191,(Python_molurus:0.03905549,Python_sebae:0.08446096):0.01455288):0.02320233,Python_regius:0.1102946):0.05339913,(((((Antaresia_perthensis:0.06928507,(Antaresia_childreni:0.03003637,Antaresia_stimsoni:0.01953789):0.03258011):0.0164155,Antaresia_maculosa:0.06494583):0.007981955,(Morelia_carinata:0.06003471,(Morelia_viridisN:0.02537246,Morelia_viridisS:0.04879795):0.01950855):0.01576949):0.0175171,((((Morelia_spilota:0.0290 [...]
-    TREE 82 = ((Loxocemus_bicolor:0.2390659,Candoia_aspera:0.3844317):0.05418046,((((Python_molurus:0.04026471,Python_sebae:0.0644374):0.01042403,Python_curtus:0.1225831):0.02166972,Python_regius:0.09710642):0.03811794,(((((Antaresia_perthensis:0.06993962,(Antaresia_childreni:0.01769138,Antaresia_stimsoni:0.01418347):0.03850968):0.01233473,Antaresia_maculosa:0.06562401):0.002737597,(Morelia_carinata:0.05781147,(Morelia_viridisN:0.04477895,Morelia_viridisS:0.06053305):0.01641598):0.019626 [...]
-    TREE 83 = ((Loxocemus_bicolor:0.2036892,Candoia_aspera:0.4028089):0.04007441,(((((Morelia_boeleni:0.06613699,((((((Morelia_kinghorni:0.008681592,Morelia_clastolepis:0.0096482):0.006886978,Morelia_nauta:0.004116863):0.007086856,Morelia_amethistina:0.03765005):0.007846691,Morelia_tracyae:0.05190823):0.02842286,Morelia_oenpelliensis:0.05083896):0.006002964,(Morelia_spilota:0.03349041,Morelia_bredli:0.03408026):0.02509088):0.01676837):0.01044434,(Bothrochilus_boa:0.05595351,Liasis_albert [...]
-    TREE 84 = ((((Python_curtus:0.1223827,(Python_sebae:0.06621626,Python_molurus:0.03832782):0.01086444):0.02337286,Python_regius:0.124018):0.02184441,((Python_timoriensis:0.08372909,Python_reticulatus:0.04903101):0.06903388,(Morelia_boeleni:0.0884944,((((Morelia_bredli:0.0312634,Morelia_spilota:0.02388251):0.02731682,((Morelia_amethistina:0.02294787,(((Morelia_nauta:0.007833751,Morelia_kinghorni:0.008007233):0.005648212,Morelia_clastolepis:0.009921374):0.01119791,Morelia_tracyae:0.0413 [...]
-    TREE 85 = ((Loxocemus_bicolor:0.324078,(((Python_curtus:0.09449341,(Python_molurus:0.03660124,Python_sebae:0.08110901):0.02108984):0.01929663,Python_regius:0.1138374):0.07513523,((Python_timoriensis:0.05849644,Python_reticulatus:0.07499078):0.05284259,((((Antaresia_ramsayi:0.02524694,Antaresia_melanocephalus:0.04279777):0.05075451,(Apodora_papuana:0.05920609,(Liasis_olivaceus:0.03153405,(Liasis_mackloti:0.01327589,Liasis_fuscus:0.01920955):0.04526949):0.01172603):0.01473238):0.006227 [...]
-    TREE 86 = (Candoia_aspera:0.4640829,(((((Python_molurus:0.03415465,Python_sebae:0.07069288):0.01969121,Python_curtus:0.08093054):0.006925213,Python_regius:0.1301421):0.02361257,(((((Morelia_boeleni:0.08796563,((Morelia_oenpelliensis:0.06088415,((((Morelia_kinghorni:0.007620532,Morelia_nauta:0.009314096):0.008601672,Morelia_clastolepis:0.002071879):0.01426838,Morelia_amethistina:0.03194737):0.00157039,Morelia_tracyae:0.04071359):0.03416296):0.003333199,(Morelia_spilota:0.03133059,More [...]
-    TREE 87 = (((((Python_sebae:0.05806749,Python_molurus:0.04863067):0.01977878,Python_curtus:0.08771888):0.02114992,Python_regius:0.1133869):0.03790215,((((Morelia_boeleni:0.0781837,(((Apodora_papuana:0.05732655,(Liasis_olivaceus:0.04020414,(Liasis_mackloti:0.009338819,Liasis_fuscus:0.02041633):0.04082824):0.008338371):0.01673676,(Antaresia_melanocephalus:0.03542311,Antaresia_ramsayi:0.03377948):0.04833716):0.01207703,(Bothrochilus_boa:0.05472008,Liasis_albertisii:0.04752972):0.0298097 [...]
-    TREE 88 = (Candoia_aspera:0.5266748,(Loxocemus_bicolor:0.2863724,(((Python_curtus:0.1113482,(Python_molurus:0.0369985,Python_sebae:0.07977591):0.0133193):0.02088768,Python_regius:0.109057):0.03589019,((Python_timoriensis:0.06994488,Python_reticulatus:0.06733911):0.05117117,(((((Antaresia_perthensis:0.07476111,(Antaresia_stimsoni:0.0102694,Antaresia_childreni:0.02539743):0.04680466):0.007219799,Antaresia_maculosa:0.07683412):0.005258364,((Morelia_viridisS:0.03428402,Morelia_viridisN:0 [...]
-    TREE 89 = ((((Python_timoriensis:0.06707148,Python_reticulatus:0.06506125):0.04355094,(((Morelia_boeleni:0.08020637,((((Morelia_amethistina:0.02208421,((Morelia_clastolepis:0.006524679,Morelia_kinghorni:0.009968198):0.005432657,Morelia_nauta:0.004671117):0.0219751):0.005202818,Morelia_tracyae:0.04945317):0.0290873,Morelia_oenpelliensis:0.06477172):0.00946036,(Morelia_bredli:0.02027949,Morelia_spilota:0.02893624):0.02610896):0.01580249):0.01046464,((Bothrochilus_boa:0.06404848,Liasis_ [...]
-    TREE 90 = ((Loxocemus_bicolor:0.2342189,((Python_regius:0.125989,((Python_molurus:0.03747382,Python_sebae:0.08511339):0.01629249,Python_curtus:0.08855054):0.01128598):0.03744629,((Python_timoriensis:0.06794617,Python_reticulatus:0.06178539):0.04416913,((((Bothrochilus_boa:0.05820688,Liasis_albertisii:0.05675853):0.02458397,(((Liasis_olivaceus:0.03059831,(Liasis_mackloti:0.008783671,Liasis_fuscus:0.01852068):0.04863702):0.01346526,Apodora_papuana:0.06713094):0.01489775,(Antaresia_rams [...]
-    TREE 91 = ((((Python_regius:0.1516846,((Python_sebae:0.07523123,Python_molurus:0.04721355):0.02365172,Python_curtus:0.09479072):0.03676268):0.04198977,((Python_reticulatus:0.07135687,Python_timoriensis:0.05190384):0.06425761,(((((Morelia_spilota:0.02512919,Morelia_bredli:0.02644278):0.03247482,(Morelia_oenpelliensis:0.0642112,((Morelia_tracyae:0.03612823,Morelia_amethistina:0.03026808):0.001308547,(Morelia_clastolepis:0.003069521,(Morelia_nauta:0.01104297,Morelia_kinghorni:0.00833590 [...]
-    TREE 92 = (Candoia_aspera:0.4547292,(Loxocemus_bicolor:0.3272833,(((((((((Morelia_amethistina:0.02060874,((Morelia_nauta:0.005561469,Morelia_kinghorni:0.008690786):0.005051559,Morelia_clastolepis:0.007840901):0.01022098):0.0133147,Morelia_tracyae:0.05010387):0.02268618,Morelia_oenpelliensis:0.06417942):0.005575328,(Morelia_spilota:0.02642943,Morelia_bredli:0.02261605):0.03579255):0.01411255,Morelia_boeleni:0.07721844):0.0007152459,((Liasis_albertisii:0.04806457,Bothrochilus_boa:0.057 [...]
-    TREE 93 = (Candoia_aspera:0.5254491,(((((Python_sebae:0.07638384,Python_molurus:0.03664319):0.01567718,Python_curtus:0.1210042):0.01515347,Python_regius:0.1274836):0.04894325,((((Antaresia_maculosa:0.05457504,(Antaresia_perthensis:0.0810693,(Antaresia_childreni:0.02907495,Antaresia_stimsoni:0.0118365):0.02838937):0.01649198):0.006525643,(Morelia_carinata:0.05356569,(Morelia_viridisS:0.04860563,Morelia_viridisN:0.0308708):0.02143981):0.01601209):0.01907801,((((((Liasis_mackloti:0.0120 [...]
-    TREE 94 = (Candoia_aspera:0.4325058,(Loxocemus_bicolor:0.29547,((((Python_sebae:0.07775931,Python_molurus:0.03063228):0.01949916,Python_curtus:0.09782399):0.01065466,Python_regius:0.1565605):0.04138757,(((Morelia_boeleni:0.1021874,((Morelia_bredli:0.03767743,Morelia_spilota:0.03995434):0.02511893,(Morelia_oenpelliensis:0.06688421,((Morelia_tracyae:0.04224919,((Morelia_nauta:0.007632277,Morelia_kinghorni:0.007195393):0.0051102,Morelia_clastolepis:0.006891541):0.01861817):0.001031537,M [...]
-    TREE 95 = (Candoia_aspera:0.4667417,(Loxocemus_bicolor:0.2636684,((((Python_sebae:0.06724253,Python_molurus:0.04279827):0.0137619,Python_curtus:0.1224426):0.01620571,Python_regius:0.105882):0.05012959,((((((Morelia_bredli:0.02989658,Morelia_spilota:0.02336917):0.03265544,(((Morelia_amethistina:0.02684736,((Morelia_kinghorni:0.009531203,Morelia_nauta:0.005903659):0.003909769,Morelia_clastolepis:0.004228678):0.006278146):0.01098578,Morelia_tracyae:0.04320166):0.03115355,Morelia_oenpell [...]
-    TREE 96 = (((((((Liasis_albertisii:0.05597893,Bothrochilus_boa:0.06708494):0.02136291,(((Morelia_oenpelliensis:0.06692067,((((Morelia_nauta:0.006490195,Morelia_kinghorni:0.008862895):0.002589311,Morelia_clastolepis:0.006537181):0.0124676,Morelia_amethistina:0.02783844):0.007327408,Morelia_tracyae:0.04129567):0.04256243):0.00284383,(Morelia_spilota:0.02580417,Morelia_bredli:0.04117144):0.02719414):0.02677905,Morelia_boeleni:0.08508827):0.004503982):0.001474833,((((Apodora_papuana:0.06 [...]
-    TREE 97 = ((Loxocemus_bicolor:0.2661032,(((((Morelia_boeleni:0.09289861,((Bothrochilus_boa:0.06138615,Liasis_albertisii:0.05013821):0.03171201,(((Liasis_olivaceus:0.02512497,(Liasis_fuscus:0.02569574,Liasis_mackloti:0.006837142):0.04839449):0.009461557,Apodora_papuana:0.07488417):0.02025706,(Antaresia_ramsayi:0.02520289,Antaresia_melanocephalus:0.04226063):0.04379259):0.004359125):0.003586254):0.002317637,((Morelia_spilota:0.02530919,Morelia_bredli:0.02428088):0.02863846,((Morelia_am [...]
-    TREE 98 = (Candoia_aspera:0.4338458,(Loxocemus_bicolor:0.2634376,(((Python_curtus:0.1105749,(Python_sebae:0.09556636,Python_molurus:0.03273635):0.01150569):0.008801576,Python_regius:0.1625759):0.03722187,(((((Morelia_viridisN:0.04247342,Morelia_viridisS:0.03651036):0.03260268,Morelia_carinata:0.07507731):0.00841834,(Antaresia_maculosa:0.0826,(Antaresia_perthensis:0.08604039,(Antaresia_childreni:0.03150816,Antaresia_stimsoni:0.01530298):0.03460219):0.01527724):0.01680449):0.01551863,( [...]
-    TREE 99 = ((((((Morelia_boeleni:0.07341909,((Morelia_spilota:0.02253496,Morelia_bredli:0.02604728):0.03621784,(Morelia_oenpelliensis:0.07207704,(Morelia_tracyae:0.04248111,(((Morelia_kinghorni:0.007760683,Morelia_nauta:0.0199143):0.002944562,Morelia_clastolepis:0.003695029):0.0118863,Morelia_amethistina:0.02630623):0.01516716):0.02096247):0.00987943):0.0225472):0.006581086,(((Apodora_papuana:0.05859656,(Liasis_olivaceus:0.03719666,(Liasis_fuscus:0.01950437,Liasis_mackloti:0.007994642 [...]
-    TREE 100 = (Candoia_aspera:0.4341243,(Loxocemus_bicolor:0.2408998,(((Python_curtus:0.09611847,(Python_sebae:0.1025681,Python_molurus:0.02687551):0.03656667):0.02051083,Python_regius:0.1336665):0.05131532,((Python_timoriensis:0.06018468,Python_reticulatus:0.06436806):0.06278732,(((((Morelia_oenpelliensis:0.06656884,(Morelia_tracyae:0.02729484,(((Morelia_nauta:0.009314223,Morelia_kinghorni:0.01130303):0.003158153,Morelia_clastolepis:0.008433545):0.0182326,Morelia_amethistina:0.02933323 [...]
-    TREE 101 = (Candoia_aspera:0.4509276,((((((Morelia_boeleni:0.07145028,((Morelia_bredli:0.02447092,Morelia_spilota:0.02234732):0.03985019,(Morelia_oenpelliensis:0.06013741,((((Morelia_kinghorni:0.006472318,Morelia_nauta:0.003261386):0.003279182,Morelia_clastolepis:0.003404097):0.01056659,Morelia_tracyae:0.05587622):0.006968234,Morelia_amethistina:0.02026666):0.03641767):0.005075176):0.03110211):0.01046361,((Bothrochilus_boa:0.06200234,Liasis_albertisii:0.05664673):0.04321532,((Apodora [...]
-    TREE 11 = ((((((Morelia_boeleni:0.105931,((Bothrochilus_boa:0.05131693,Liasis_albertisii:0.04545252):0.03797298,((Antaresia_ramsayi:0.02228446,Antaresia_melanocephalus:0.03885661):0.05087393,((Liasis_olivaceus:0.0281452,(Liasis_fuscus:0.02249635,Liasis_mackloti:0.01251578):0.04465905):0.006607861,Apodora_papuana:0.05587392):0.008114536):0.01409248):0.002334905):0.005272702,((((Morelia_viridisS:0.03675911,Morelia_viridisN:0.02198791):0.0215533,Morelia_carinata:0.06453783):0.005055946, [...]
-    TREE 12 = ((Loxocemus_bicolor:0.2458238,((Python_regius:0.1106511,(Python_curtus:0.1001811,(Python_molurus:0.04448544,Python_sebae:0.07099682):0.008173695):0.02536996):0.04260848,((Python_timoriensis:0.06684263,Python_reticulatus:0.03900576):0.06959,(((Morelia_carinata:0.05905979,(Morelia_viridisS:0.04271627,Morelia_viridisN:0.03918736):0.04180082):0.00903691,((Antaresia_perthensis:0.06119587,(Antaresia_stimsoni:0.01571635,Antaresia_childreni:0.02290186):0.04092202):0.003749944,Antar [...]
-    TREE 13 = ((((Python_regius:0.125521,(Python_curtus:0.1073245,(Python_molurus:0.03657539,Python_sebae:0.06864878):0.03002534):0.01433173):0.04825549,((((Morelia_carinata:0.05949514,(Morelia_viridisS:0.04806101,Morelia_viridisN:0.02823277):0.04405801):0.01385116,(((Antaresia_stimsoni:0.01413133,Antaresia_childreni:0.02703797):0.02343367,Antaresia_perthensis:0.07249178):0.008990339,Antaresia_maculosa:0.06567229):0.01366012):0.01659183,(((Bothrochilus_boa:0.05828401,Liasis_albertisii:0. [...]
-    TREE 14 = ((Loxocemus_bicolor:0.2311109,((((((Morelia_oenpelliensis:0.07476196,(Morelia_tracyae:0.04489038,(((Morelia_kinghorni:0.008629219,Morelia_nauta:0.01117212):0.001642294,Morelia_clastolepis:0.005837899):0.005027789,Morelia_amethistina:0.02727465):0.007558527):0.03979655):0.004991851,(Morelia_spilota:0.03343332,Morelia_bredli:0.03267572):0.03095787):0.03054975,((Bothrochilus_boa:0.07451251,Liasis_albertisii:0.05084842):0.02736059,Morelia_boeleni:0.08948575):0.003187523):0.0038 [...]
-    TREE 15 = ((Loxocemus_bicolor:0.2896212,((Python_regius:0.09775786,(Python_curtus:0.09624462,(Python_sebae:0.07141944,Python_molurus:0.03844634):0.01642442):0.01540055):0.03715156,((Python_timoriensis:0.07277793,Python_reticulatus:0.0524129):0.08165967,(Morelia_boeleni:0.08817638,((((Morelia_carinata:0.06965416,(Morelia_viridisN:0.04107285,Morelia_viridisS:0.05026227):0.02040291):0.01957017,(((Antaresia_childreni:0.02846544,Antaresia_stimsoni:0.01113197):0.05445025,Antaresia_perthens [...]
-    TREE 16 = ((Loxocemus_bicolor:0.2332114,((((Python_sebae:0.08310605,Python_molurus:0.03309147):0.02673089,Python_curtus:0.09236202):0.01485251,Python_regius:0.09270653):0.04843605,((Python_timoriensis:0.06307732,Python_reticulatus:0.05258899):0.06886643,((((Morelia_viridisS:0.0484855,Morelia_viridisN:0.03151694):0.02682321,Morelia_carinata:0.06154282):0.01581032,(Antaresia_maculosa:0.07283047,(Antaresia_perthensis:0.07071279,(Antaresia_childreni:0.01633722,Antaresia_stimsoni:0.018473 [...]
-    TREE 17 = (Candoia_aspera:0.4823539,(Loxocemus_bicolor:0.2773091,((Python_regius:0.1146737,(Python_curtus:0.1202873,(Python_sebae:0.07350455,Python_molurus:0.04267794):0.01202121):0.02153016):0.04880882,((Python_timoriensis:0.06966236,Python_reticulatus:0.06563854):0.04079652,(((Antaresia_maculosa:0.06757648,((Antaresia_childreni:0.01839516,Antaresia_stimsoni:0.01265365):0.04068759,Antaresia_perthensis:0.07210109):0.007794484):0.009137391,(Morelia_carinata:0.08291748,(Morelia_viridis [...]
-    TREE 18 = ((((Python_timoriensis:0.07692143,Python_reticulatus:0.06844929):0.06878282,(((Morelia_carinata:0.06970537,(Morelia_viridisS:0.04785833,Morelia_viridisN:0.03674054):0.02311062):0.01471066,(((Antaresia_childreni:0.02932162,Antaresia_stimsoni:0.0193905):0.03769673,Antaresia_perthensis:0.07640949):0.01295086,Antaresia_maculosa:0.07700848):0.009436204):0.01981386,((((((Morelia_amethistina:0.03582876,((Morelia_nauta:0.00598038,Morelia_kinghorni:0.009249085):0.006765277,Morelia_c [...]
-    TREE 19 = (((((Python_timoriensis:0.07824341,Python_reticulatus:0.06773204):0.05436504,((((((Liasis_olivaceus:0.04213837,Apodora_papuana:0.06076422):0.006128772,(Liasis_fuscus:0.01053002,Liasis_mackloti:0.01818946):0.04563388):0.02132318,(Antaresia_ramsayi:0.03897168,Antaresia_melanocephalus:0.03769482):0.04549028):0.01191707,((Morelia_carinata:0.07412641,(Morelia_viridisS:0.06176765,Morelia_viridisN:0.02758298):0.02351254):0.0115188,(((Antaresia_childreni:0.02294752,Antaresia_stimso [...]
-    TREE 20 = ((Loxocemus_bicolor:0.3315088,(((Python_timoriensis:0.08265575,Python_reticulatus:0.04842836):0.06637015,((((Bothrochilus_boa:0.06045392,Liasis_albertisii:0.05932411):0.03647307,Morelia_boeleni:0.09952603):0.002094248,(((((Antaresia_childreni:0.02364124,Antaresia_stimsoni:0.01538722):0.03483375,Antaresia_perthensis:0.07842851):0.01029187,Antaresia_maculosa:0.05794009):0.01418545,(Morelia_carinata:0.06118829,(Morelia_viridisS:0.05108068,Morelia_viridisN:0.03327827):0.0295365 [...]
-    TREE 21 = (Candoia_aspera:0.3879355,(Loxocemus_bicolor:0.2635277,(((Python_timoriensis:0.07488745,Python_reticulatus:0.07165347):0.06286752,(((Bothrochilus_boa:0.05066114,Liasis_albertisii:0.04631989):0.03495751,((Apodora_papuana:0.06336035,((Liasis_fuscus:0.02679166,Liasis_mackloti:0.01508707):0.04512154,Liasis_olivaceus:0.03170831):0.02130021):0.01225882,(Antaresia_ramsayi:0.02715579,Antaresia_melanocephalus:0.03692815):0.05242907):0.006242959):0.001901093,((((Morelia_bredli:0.0287 [...]
-    TREE 22 = ((Loxocemus_bicolor:0.3484046,((Python_regius:0.1299487,(Python_curtus:0.08751524,(Python_sebae:0.07268371,Python_molurus:0.04254277):0.02008602):0.01126513):0.04984823,(((((Liasis_albertisii:0.04502909,Bothrochilus_boa:0.05899998):0.0354086,((Apodora_papuana:0.05684881,((Liasis_mackloti:0.01544956,Liasis_fuscus:0.02130693):0.04872514,Liasis_olivaceus:0.03650952):0.005483124):0.01448147,(Antaresia_ramsayi:0.02598716,Antaresia_melanocephalus:0.03041967):0.0519068):0.00492741 [...]
-    TREE 23 = ((Loxocemus_bicolor:0.3065548,(((((((Antaresia_ramsayi:0.03385554,Antaresia_melanocephalus:0.03199838):0.0479804,((Liasis_olivaceus:0.03510994,(Liasis_mackloti:0.005883193,Liasis_fuscus:0.02171762):0.05961237):0.01021559,Apodora_papuana:0.0559756):0.01603474):0.01175948,(Bothrochilus_boa:0.06437692,Liasis_albertisii:0.03322093):0.04863423):0.003630452,((Antaresia_maculosa:0.06591439,((Antaresia_stimsoni:0.02082665,Antaresia_childreni:0.02123506):0.05057495,Antaresia_perthen [...]
-    TREE 24 = (Candoia_aspera:0.4485051,(Loxocemus_bicolor:0.2753823,(((Morelia_boeleni:0.07826681,((((Antaresia_ramsayi:0.02174183,Antaresia_melanocephalus:0.0487837):0.05696255,((Liasis_olivaceus:0.03226077,Apodora_papuana:0.05015353):0.002679578,(Liasis_fuscus:0.02321992,Liasis_mackloti:0.01623561):0.05603043):0.01825385):0.01154037,(Bothrochilus_boa:0.0626663,Liasis_albertisii:0.04735238):0.03097784):0.007929447,((((Morelia_viridisS:0.04523728,Morelia_viridisN:0.02992506):0.02415625, [...]
-    TREE 25 = (Candoia_aspera:0.4007296,(Loxocemus_bicolor:0.3023659,((((Liasis_albertisii:0.04484209,Bothrochilus_boa:0.05694912):0.03509212,((((((Antaresia_childreni:0.02381686,Antaresia_stimsoni:0.01965734):0.04160441,Antaresia_perthensis:0.06501918):0.01110509,Antaresia_maculosa:0.06540036):0.01027523,((Morelia_viridisN:0.02966337,Morelia_viridisS:0.04604234):0.01806969,Morelia_carinata:0.06961854):0.008454373):0.01388917,((Antaresia_ramsayi:0.03352314,Antaresia_melanocephalus:0.0431 [...]
-    TREE 26 = (((((Python_timoriensis:0.06449001,Python_reticulatus:0.05702399):0.0703105,(((((Antaresia_childreni:0.02325914,Antaresia_stimsoni:0.01170238):0.04134304,Antaresia_perthensis:0.05331392):0.01818774,Antaresia_maculosa:0.09053385):0.0108276,((Morelia_viridisN:0.03599152,Morelia_viridisS:0.04161514):0.02303153,Morelia_carinata:0.07374027):0.00817112):0.02066169,((((Morelia_oenpelliensis:0.05305869,(Morelia_amethistina:0.03233761,(((Morelia_kinghorni:0.005085139,Morelia_clastol [...]
-    TREE 27 = (Candoia_aspera:0.5072671,(Loxocemus_bicolor:0.2771276,(((Python_timoriensis:0.06508521,Python_reticulatus:0.06118689):0.0753944,(Morelia_boeleni:0.06473072,(((Morelia_oenpelliensis:0.06621928,(((Morelia_clastolepis:0.001220996,(Morelia_nauta:0.005497285,Morelia_kinghorni:0.005154365):0.0134602):0.01821363,Morelia_tracyae:0.04629116):0.01280376,Morelia_amethistina:0.01395589):0.05991748):0.002735354,(Morelia_bredli:0.03028891,Morelia_spilota:0.03007576):0.02473189):0.021103 [...]
-    TREE 28 = ((Loxocemus_bicolor:0.2255088,(((Python_timoriensis:0.07514369,Python_reticulatus:0.0635069):0.05347764,(((Bothrochilus_boa:0.06150959,Liasis_albertisii:0.06228012):0.02139156,((Antaresia_ramsayi:0.03413077,Antaresia_melanocephalus:0.0425458):0.05410898,((Liasis_mackloti:0.01188359,Liasis_fuscus:0.02223782):0.0468034,(Liasis_olivaceus:0.03498516,Apodora_papuana:0.06292781):0.01013783):0.01420626):0.008876288):0.003198402,((((Morelia_spilota:0.02490744,Morelia_bredli:0.02845 [...]
-    TREE 29 = (Candoia_aspera:0.4094712,(Loxocemus_bicolor:0.2688637,(((Python_timoriensis:0.06294914,Python_reticulatus:0.04985823):0.06440863,(((((Liasis_mackloti:0.01262452,Liasis_fuscus:0.0218546):0.04041808,(Apodora_papuana:0.07252098,Liasis_olivaceus:0.03194157):0.01107863):0.02129059,(Antaresia_ramsayi:0.03048903,Antaresia_melanocephalus:0.04901979):0.03837136):0.007696275,((Morelia_boeleni:0.06125945,((Morelia_oenpelliensis:0.06644476,((Morelia_tracyae:0.03592499,((Morelia_kingho [...]
-    TREE 30 = ((((Python_regius:0.1118698,(Python_curtus:0.1179117,(Python_molurus:0.0405954,Python_sebae:0.08683961):0.01242979):0.02079802):0.03544352,((Python_timoriensis:0.07695059,Python_reticulatus:0.05132446):0.06203875,((Morelia_boeleni:0.07927639,((Bothrochilus_boa:0.06279745,Liasis_albertisii:0.0399234):0.03098695,(((Morelia_tracyae:0.04101332,(Morelia_amethistina:0.02455261,(Morelia_clastolepis:0.008176434,(Morelia_kinghorni:0.007268036,Morelia_nauta:0.006141666):0.005785571): [...]
-    TREE 31 = (Candoia_aspera:0.4832148,(Loxocemus_bicolor:0.3404342,((Python_regius:0.1242429,((Python_sebae:0.07265737,Python_molurus:0.040688):0.01471806,Python_curtus:0.1033765):0.03181258):0.0267147,((Python_timoriensis:0.07822391,Python_reticulatus:0.06789191):0.04945783,(((Antaresia_maculosa:0.07109217,(Antaresia_perthensis:0.06324736,(Antaresia_childreni:0.02405573,Antaresia_stimsoni:0.01254822):0.03062618):0.008852923):0.0138846,((Morelia_viridisN:0.05039706,Morelia_viridisS:0.0 [...]
-    TREE 32 = ((((Python_timoriensis:0.07113778,Python_reticulatus:0.05017493):0.06319461,(Morelia_boeleni:0.09190941,((((Antaresia_ramsayi:0.01813054,Antaresia_melanocephalus:0.04870207):0.05265934,((Liasis_olivaceus:0.03281665,Apodora_papuana:0.05671593):0.01603054,(Liasis_fuscus:0.01277387,Liasis_mackloti:0.01399295):0.05404157):0.02837849):0.008398836,(((Antaresia_perthensis:0.07601852,(Antaresia_childreni:0.01693324,Antaresia_stimsoni:0.02617617):0.04277307):0.006759305,Antaresia_ma [...]
-    TREE 33 = (Candoia_aspera:0.4186248,(Loxocemus_bicolor:0.3108572,(((Python_timoriensis:0.08343283,Python_reticulatus:0.05111982):0.06141429,(((((Antaresia_childreni:0.02790229,Antaresia_stimsoni:0.01830717):0.03279611,Antaresia_perthensis:0.07987803):0.01287194,Antaresia_maculosa:0.07316171):0.01139226,((Morelia_viridisS:0.05397353,Morelia_viridisN:0.03585342):0.02003358,Morelia_carinata:0.07596764):0.01745623):0.01212332,((Morelia_boeleni:0.08229089,((Bothrochilus_boa:0.06919409,Lia [...]
-    TREE 34 = ((Loxocemus_bicolor:0.3168767,((((((Bothrochilus_boa:0.05350748,Liasis_albertisii:0.06348142):0.03421965,((Antaresia_ramsayi:0.03163343,Antaresia_melanocephalus:0.03221392):0.04818877,(Apodora_papuana:0.07619766,((Liasis_mackloti:0.0113392,Liasis_fuscus:0.03694665):0.05096152,Liasis_olivaceus:0.02886953):0.01151106):0.02490245):0.007102472):0.00291576,(((Morelia_viridisS:0.04798357,Morelia_viridisN:0.03581978):0.03136736,Morelia_carinata:0.06647472):0.01053297,(Antaresia_ma [...]
-    TREE 35 = ((((Python_timoriensis:0.08489141,Python_reticulatus:0.04570306):0.06504991,(((((Morelia_bredli:0.02840635,Morelia_spilota:0.02926897):0.02782231,(Morelia_oenpelliensis:0.08431588,(Morelia_amethistina:0.01708426,((Morelia_nauta:0.003973568,(Morelia_clastolepis:0.01300467,Morelia_kinghorni:0.007130242):0.003691815):0.02251268,Morelia_tracyae:0.06377869):0.0124496):0.03801378):0.004192503):0.02315028,Morelia_boeleni:0.09657489):0.0009557305,(((Antaresia_ramsayi:0.02655588,Ant [...]
-    TREE 36 = ((((Python_regius:0.1228491,((Python_molurus:0.04996319,Python_sebae:0.07473049):0.02363043,Python_curtus:0.1170907):0.02227195):0.05125574,((Python_timoriensis:0.07688387,Python_reticulatus:0.06000572):0.05840354,((Bothrochilus_boa:0.05783399,Liasis_albertisii:0.04766374):0.04125558,((((Morelia_spilota:0.02963587,Morelia_bredli:0.03057292):0.02700875,(Morelia_oenpelliensis:0.06021393,(Morelia_tracyae:0.04262755,(((Morelia_kinghorni:0.008991961,Morelia_nauta:0.0139383):0.01 [...]
-    TREE 37 = ((Candoia_aspera:0.434272,Loxocemus_bicolor:0.2009677):0.0214365,(((Python_timoriensis:0.07098969,Python_reticulatus:0.05926525):0.06595034,(((((Antaresia_maculosa:0.06951293,((Antaresia_childreni:0.02431376,Antaresia_stimsoni:0.02256829):0.03600323,Antaresia_perthensis:0.07393358):0.01268363):0.007852837,((Morelia_viridisS:0.04831104,Morelia_viridisN:0.04151247):0.02619356,Morelia_carinata:0.06205216):0.008328914):0.01571979,((Antaresia_ramsayi:0.02940384,Antaresia_melanoc [...]
-    TREE 38 = (((((((Antaresia_ramsayi:0.01789625,Antaresia_melanocephalus:0.0471464):0.0499587,((Liasis_olivaceus:0.03622664,(Liasis_mackloti:0.009455217,Liasis_fuscus:0.03042734):0.0510626):0.01244135,Apodora_papuana:0.06968692):0.02203981):0.005449505,(((Morelia_viridisS:0.05494915,Morelia_viridisN:0.04257566):0.02547149,Morelia_carinata:0.05330917):0.00924233,(Antaresia_maculosa:0.07141571,(Antaresia_perthensis:0.06815105,(Antaresia_stimsoni:0.01596413,Antaresia_childreni:0.02007385) [...]
-    TREE 39 = (Candoia_aspera:0.4378878,(((Python_regius:0.1263037,(Python_curtus:0.09068406,(Python_sebae:0.08332073,Python_molurus:0.0359485):0.01736963):0.01742147):0.07144359,((Python_timoriensis:0.06079161,Python_reticulatus:0.04868454):0.09412199,((Morelia_boeleni:0.1011311,((((Morelia_bredli:0.03894734,Morelia_spilota:0.02293709):0.02468898,((Morelia_tracyae:0.04868068,Morelia_amethistina:0.03063431):0.001146831,(Morelia_nauta:0.0113829,(Morelia_kinghorni:0.01139991,Morelia_clasto [...]
-    TREE 40 = ((Loxocemus_bicolor:0.2781926,(((Python_curtus:0.09622619,(Python_sebae:0.08267726,Python_molurus:0.0336874):0.01590162):0.02341003,Python_regius:0.1740821):0.03569153,((((Morelia_boeleni:0.06351209,(Bothrochilus_boa:0.06119387,Liasis_albertisii:0.05070669):0.03869329):0.01018021,((Morelia_bredli:0.0365599,Morelia_spilota:0.03117491):0.02423704,(Morelia_oenpelliensis:0.07314733,((((Morelia_clastolepis:0.0102972,Morelia_kinghorni:0.009981516):0.004881791,Morelia_nauta:0.0016 [...]
-    TREE 41 = ((((Python_regius:0.1324015,((Python_sebae:0.07499595,Python_molurus:0.04531034):0.01317716,Python_curtus:0.08063795):0.02063596):0.03899759,((Python_timoriensis:0.04793628,Python_reticulatus:0.06554662):0.06914582,(((((Morelia_viridisS:0.0384385,Morelia_viridisN:0.02843732):0.01649712,Morelia_carinata:0.07616136):0.01154934,(Antaresia_maculosa:0.0688894,(Antaresia_perthensis:0.07525537,(Antaresia_childreni:0.02342297,Antaresia_stimsoni:0.0103098):0.0301651):0.01238226):0.0 [...]
-    TREE 42 = (Candoia_aspera:0.3942506,(Loxocemus_bicolor:0.3248309,((((Morelia_boeleni:0.06702698,((Morelia_bredli:0.03352857,Morelia_spilota:0.02423749):0.02958618,(Morelia_oenpelliensis:0.05828146,(((Morelia_nauta:0.007829247,Morelia_kinghorni:0.009557425):0.001428237,Morelia_clastolepis:0.008807874):0.01725166,(Morelia_amethistina:0.01830064,Morelia_tracyae:0.04028426):0.004051179):0.02744396):0.006409835):0.02247126):0.004948553,(((((Antaresia_childreni:0.0254365,Antaresia_stimsoni [...]
-    TREE 43 = (((((Python_timoriensis:0.08248895,Python_reticulatus:0.04622255):0.06467156,((((Antaresia_perthensis:0.06518122,(Antaresia_childreni:0.02174977,Antaresia_stimsoni:0.02278117):0.02851192):0.009920717,Antaresia_maculosa:0.06678848):0.01147817,((Morelia_viridisN:0.03490955,Morelia_viridisS:0.05647367):0.02252135,Morelia_carinata:0.07676534):0.0144076):0.01561488,(((Liasis_albertisii:0.03902664,Bothrochilus_boa:0.07108618):0.03421936,((Antaresia_ramsayi:0.029093,Antaresia_mela [...]
-    TREE 44 = (Candoia_aspera:0.4228648,((((Python_timoriensis:0.06553675,Python_reticulatus:0.050714):0.06988906,(((Morelia_boeleni:0.0890654,((Morelia_spilota:0.02392142,Morelia_bredli:0.02193456):0.03376877,(Morelia_oenpelliensis:0.06419856,((Morelia_amethistina:0.01759292,((Morelia_kinghorni:0.008233864,Morelia_nauta:0.007319697):0.007122637,Morelia_clastolepis:0.002995375):0.01946149):0.004642841,Morelia_tracyae:0.05521657):0.03035044):0.002240405):0.01754026):0.003550021,(Bothrochi [...]
-    TREE 45 = ((Loxocemus_bicolor:0.2980402,(((Python_timoriensis:0.0792743,Python_reticulatus:0.05323046):0.06059866,(((Morelia_boeleni:0.06727104,((((Morelia_viridisS:0.04189977,Morelia_viridisN:0.03729936):0.02232826,Morelia_carinata:0.0526073):0.0180869,(((Antaresia_stimsoni:0.01263764,Antaresia_childreni:0.01925792):0.03451767,Antaresia_perthensis:0.06742619):0.005139024,Antaresia_maculosa:0.07294127):0.007092231):0.02540082,((Antaresia_ramsayi:0.03761965,Antaresia_melanocephalus:0. [...]
-    TREE 46 = (Candoia_aspera:0.43241,(Loxocemus_bicolor:0.2980358,(((Python_timoriensis:0.07726999,Python_reticulatus:0.05869396):0.06019174,(((((Bothrochilus_boa:0.06085901,Liasis_albertisii:0.05363194):0.02773079,(Antaresia_ramsayi:0.03121562,Antaresia_melanocephalus:0.03375609):0.0527325):0.00288087,(Apodora_papuana:0.05122583,((Liasis_fuscus:0.01757352,Liasis_mackloti:0.0137212):0.04446291,Liasis_olivaceus:0.0470775):0.01009023):0.0231038):0.005364432,(((Morelia_oenpelliensis:0.0670 [...]
-    TREE 47 = ((((Python_regius:0.1096265,(Python_curtus:0.1035287,(Python_molurus:0.04023382,Python_sebae:0.09929416):0.02592233):0.028048):0.05840156,((((((Liasis_albertisii:0.06455336,Bothrochilus_boa:0.0507599):0.02743137,((Apodora_papuana:0.06914814,((Liasis_mackloti:0.01141442,Liasis_fuscus:0.01855708):0.0620712,Liasis_olivaceus:0.03846675):0.0171175):0.0129019,(Antaresia_ramsayi:0.03210937,Antaresia_melanocephalus:0.03694964):0.04985598):0.01385926):0.001769898,Morelia_boeleni:0.0 [...]
-    TREE 48 = (((((((Bothrochilus_boa:0.05890789,Liasis_albertisii:0.0609866):0.04237209,(((Antaresia_ramsayi:0.03573155,Antaresia_melanocephalus:0.03963692):0.04796978,((Liasis_fuscus:0.02907654,Liasis_mackloti:0.007246393):0.04074824,(Apodora_papuana:0.06019183,Liasis_olivaceus:0.03074218):0.0179236):0.01904604):0.008197873,((Antaresia_maculosa:0.06474745,((Antaresia_childreni:0.0257656,Antaresia_stimsoni:0.01504488):0.03637985,Antaresia_perthensis:0.06523604):0.007883245):0.009561559, [...]
-    TREE 49 = ((Candoia_aspera:0.470702,Loxocemus_bicolor:0.2956604):0.02335185,((Python_regius:0.09584661,((Python_sebae:0.0732703,Python_molurus:0.04720622):0.01763467,Python_curtus:0.117376):0.02483888):0.03117274,((Python_timoriensis:0.08037376,Python_reticulatus:0.04589197):0.05405132,((((Morelia_oenpelliensis:0.07746088,((((Morelia_nauta:0.006172668,Morelia_kinghorni:0.006447997):0.00859351,Morelia_clastolepis:0.002835837):0.02486692,Morelia_tracyae:0.03653335):0.009312386,Morelia_ [...]
-    TREE 50 = (Candoia_aspera:0.4437574,(((((Python_sebae:0.08086658,Python_molurus:0.03252307):0.02637126,Python_curtus:0.09904016):0.01531335,Python_regius:0.143583):0.0451362,(((((Antaresia_ramsayi:0.03718754,Antaresia_melanocephalus:0.03961356):0.04265559,((Apodora_papuana:0.05513246,Liasis_olivaceus:0.04102737):0.009581713,(Liasis_fuscus:0.01992797,Liasis_mackloti:0.008490396):0.05762563):0.01375438):0.01045857,(((Antaresia_perthensis:0.06574388,(Antaresia_childreni:0.02109943,Antar [...]
-    TREE 51 = ((((((((Antaresia_maculosa:0.07388047,(Antaresia_perthensis:0.05894037,(Antaresia_stimsoni:0.01014789,Antaresia_childreni:0.02392858):0.03272025):0.0127324):0.005261333,((Morelia_viridisS:0.04814902,Morelia_viridisN:0.03931801):0.02118613,Morelia_carinata:0.06743429):0.01713753):0.01871503,((Morelia_spilota:0.02897399,Morelia_bredli:0.02928582):0.03210568,((((Morelia_nauta:0.01230512,Morelia_kinghorni:0.00972926):0.00676493,Morelia_clastolepis:0.002086417):0.02346979,(Morel [...]
-    TREE 52 = ((((Python_regius:0.122739,(Python_curtus:0.1320061,(Python_sebae:0.08815482,Python_molurus:0.03987976):0.008925839):0.02849865):0.03213177,(((((Morelia_viridisS:0.05520765,Morelia_viridisN:0.03292917):0.02684103,Morelia_carinata:0.05485755):0.01440183,(((Antaresia_childreni:0.02415124,Antaresia_stimsoni:0.01568463):0.04201286,Antaresia_perthensis:0.06779229):0.006306221,Antaresia_maculosa:0.05300762):0.009265044):0.01964058,(((((Liasis_fuscus:0.01770021,Liasis_mackloti:0.0 [...]
-    TREE 53 = (((((Python_curtus:0.09620483,(Python_sebae:0.06334457,Python_molurus:0.0538921):0.01668897):0.01641654,Python_regius:0.1202121):0.03786821,(((((Bothrochilus_boa:0.04681597,Liasis_albertisii:0.04765389):0.03343482,((Antaresia_ramsayi:0.02933084,Antaresia_melanocephalus:0.0393689):0.03713987,((Liasis_olivaceus:0.03347025,Apodora_papuana:0.06483148):0.02100701,(Liasis_fuscus:0.02707484,Liasis_mackloti:0.007527475):0.03672839):0.02435954):0.006702324):0.00436005,((Antaresia_ma [...]
-    TREE 54 = ((Loxocemus_bicolor:0.3139416,Candoia_aspera:0.4187669):0.04921504,((((Python_molurus:0.04363615,Python_sebae:0.0972421):0.02066382,Python_curtus:0.09211249):0.01832167,Python_regius:0.1204208):0.06289011,(((Morelia_boeleni:0.07412663,((Morelia_bredli:0.03194801,Morelia_spilota:0.01803354):0.03580703,(Morelia_oenpelliensis:0.07438324,((Morelia_amethistina:0.01798105,(Morelia_clastolepis:0.00212618,(Morelia_kinghorni:0.003500397,Morelia_nauta:0.009602255):0.006876329):0.0078 [...]
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-    TREE 56 = (Candoia_aspera:0.4813065,((((((((Antaresia_ramsayi:0.02598769,Antaresia_melanocephalus:0.04109392):0.04781481,(Liasis_albertisii:0.04425997,Bothrochilus_boa:0.06753105):0.03135549):0.004135552,(((Liasis_mackloti:0.01633037,Liasis_fuscus:0.03000881):0.04510967,Liasis_olivaceus:0.04156987):0.0107285,Apodora_papuana:0.06327569):0.02760798):0.0088871,Morelia_boeleni:0.09115155):0.001504997,(((Antaresia_maculosa:0.07446543,(Antaresia_perthensis:0.07047215,(Antaresia_childreni:0 [...]
-    TREE 57 = ((Loxocemus_bicolor:0.2977819,(((((((Morelia_viridisN:0.02454729,Morelia_viridisS:0.04512018):0.02222539,Morelia_carinata:0.06200557):0.01268124,(((Antaresia_childreni:0.02473758,Antaresia_stimsoni:0.01624843):0.04789705,Antaresia_perthensis:0.07009377):0.008545523,Antaresia_maculosa:0.08388544):0.007578775):0.01782145,(((Morelia_tracyae:0.04447008,((Morelia_kinghorni:0.0066021,Morelia_nauta:0.00551457):0.01082195,Morelia_clastolepis:0.001697196):0.0059375):0.004922532,More [...]
-    TREE 58 = ((((Python_regius:0.1200325,((Python_molurus:0.03591442,Python_sebae:0.0707592):0.01993933,Python_curtus:0.1045325):0.01853241):0.02707036,((Python_timoriensis:0.06786831,Python_reticulatus:0.0322445):0.08257587,(((((((Morelia_clastolepis:0.004018062,(Morelia_nauta:0.01075374,Morelia_kinghorni:0.006308406):0.005730398):0.01861746,Morelia_amethistina:0.0232728):0.00946243,Morelia_tracyae:0.03755202):0.02764432,Morelia_oenpelliensis:0.05912281):0.01292832,(Morelia_bredli:0.03 [...]
-    TREE 59 = (((Python_regius:0.1335572,(Python_curtus:0.09927795,(Python_molurus:0.03561646,Python_sebae:0.07830893):0.01697234):0.02824134):0.04031233,(((((Bothrochilus_boa:0.07133514,Liasis_albertisii:0.04973854):0.04588717,((Antaresia_ramsayi:0.03310703,Antaresia_melanocephalus:0.03941893):0.05882317,(Apodora_papuana:0.07295411,((Liasis_fuscus:0.01782433,Liasis_mackloti:0.01512761):0.05644884,Liasis_olivaceus:0.02642465):0.01125838):0.01140388):0.004935439):0.0101065,(Morelia_boelen [...]
-    TREE 60 = (Candoia_aspera:0.424371,(Loxocemus_bicolor:0.3179898,((Python_regius:0.1449508,(Python_curtus:0.1015309,(Python_molurus:0.04869052,Python_sebae:0.09786226):0.01882742):0.02882628):0.03786653,((Python_timoriensis:0.05229728,Python_reticulatus:0.06380921):0.05973712,(((((Antaresia_ramsayi:0.02761203,Antaresia_melanocephalus:0.03813273):0.05830588,((Liasis_olivaceus:0.04693766,(Liasis_fuscus:0.01833181,Liasis_mackloti:0.01696186):0.04960517):0.01702719,Apodora_papuana:0.05487 [...]
-    TREE 61 = ((((Python_regius:0.1228097,((Python_molurus:0.04315806,Python_sebae:0.07493422):0.009730695,Python_curtus:0.1072914):0.02183078):0.04432623,((Python_timoriensis:0.08054852,Python_reticulatus:0.05729257):0.06275327,(((Morelia_carinata:0.0753587,(Morelia_viridisS:0.05041945,Morelia_viridisN:0.03648667):0.02461579):0.0115986,(((Antaresia_stimsoni:0.01180749,Antaresia_childreni:0.02516542):0.03703654,Antaresia_perthensis:0.06873682):0.01651968,Antaresia_maculosa:0.07148424):0. [...]
-    TREE 62 = (((((Python_curtus:0.08909703,(Python_molurus:0.03328324,Python_sebae:0.0715058):0.01824785):0.007554571,Python_regius:0.1454022):0.03384772,((((((Morelia_viridisS:0.05543826,Morelia_viridisN:0.03630355):0.01622295,Morelia_carinata:0.07316485):0.01367374,(Antaresia_maculosa:0.06581564,((Antaresia_childreni:0.0310494,Antaresia_stimsoni:0.01245022):0.03712444,Antaresia_perthensis:0.06435933):0.01742895):0.004963226):0.02577853,(Morelia_boeleni:0.09387192,((Morelia_bredli:0.02 [...]
-    TREE 63 = (Candoia_aspera:0.4745529,(((Python_regius:0.1135173,(Python_curtus:0.1012712,(Python_molurus:0.04331739,Python_sebae:0.07786967):0.01125215):0.03818491):0.03021289,((Python_timoriensis:0.07194533,Python_reticulatus:0.04773572):0.07113062,((((Morelia_spilota:0.02865189,Morelia_bredli:0.03249746):0.02966558,(((Morelia_tracyae:0.04997421,(Morelia_nauta:0.004001658,(Morelia_clastolepis:0.006449675,Morelia_kinghorni:0.007933115):0.006298222):0.02287617):0.00191708,Morelia_ameth [...]
-    TREE 64 = ((((((((Morelia_viridisS:0.04558879,Morelia_viridisN:0.03250553):0.01332789,Morelia_carinata:0.0753067):0.01978827,(Antaresia_maculosa:0.07612639,((Antaresia_stimsoni:0.0233159,Antaresia_childreni:0.02086903):0.02612487,Antaresia_perthensis:0.06545956):0.01015421):0.01066412):0.01823755,((((Antaresia_ramsayi:0.04189037,Antaresia_melanocephalus:0.04454489):0.04572384,(((Liasis_mackloti:0.004894573,Liasis_fuscus:0.01614364):0.05091172,Liasis_olivaceus:0.02327591):0.01019945,A [...]
-    TREE 65 = ((((Python_regius:0.1065045,((Python_molurus:0.02903804,Python_sebae:0.07866277):0.01231844,Python_curtus:0.1314011):0.027084):0.03262673,((Python_timoriensis:0.06663792,Python_reticulatus:0.0784987):0.07588092,(((Bothrochilus_boa:0.07634096,Liasis_albertisii:0.04452527):0.02809324,(((Morelia_oenpelliensis:0.06509642,(Morelia_tracyae:0.0458238,(((Morelia_nauta:0.0121269,Morelia_kinghorni:0.006513538):0.009945509,Morelia_clastolepis:0.01318087):0.02319886,Morelia_amethistina [...]
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-    TREE 67 = ((((Python_regius:0.143336,((Python_molurus:0.05192443,Python_sebae:0.08336195):0.02057265,Python_curtus:0.09573655):0.02544282):0.04651235,((((((((Liasis_fuscus:0.01732133,Liasis_mackloti:0.01183748):0.0552515,Liasis_olivaceus:0.03096171):0.01753867,Apodora_papuana:0.06168452):0.02608198,(Antaresia_ramsayi:0.02889135,Antaresia_melanocephalus:0.03600234):0.05855319):0.009485744,(Bothrochilus_boa:0.06625782,Liasis_albertisii:0.04617117):0.03191976):0.002849137,(Morelia_boele [...]
-    TREE 68 = ((Loxocemus_bicolor:0.2719207,Candoia_aspera:0.4906847):0.04718485,((Python_regius:0.1124593,((Python_molurus:0.0509666,Python_sebae:0.07738415):0.008989942,Python_curtus:0.09897486):0.03516115):0.03687499,((Python_timoriensis:0.06800461,Python_reticulatus:0.06016279):0.06116017,(((Liasis_albertisii:0.06944622,Bothrochilus_boa:0.05920302):0.03120987,(((Liasis_olivaceus:0.05416647,(Liasis_mackloti:0.01101725,Liasis_fuscus:0.01722447):0.05929124):0.008101523,Apodora_papuana:0 [...]
-    TREE 69 = ((((Python_timoriensis:0.07901859,Python_reticulatus:0.04337921):0.05715234,((((Bothrochilus_boa:0.07370024,Liasis_albertisii:0.05462079):0.02485725,((((Liasis_fuscus:0.02829583,Liasis_mackloti:0.009995232):0.04878129,Liasis_olivaceus:0.03673495):0.01427831,Apodora_papuana:0.05211239):0.01637035,(Antaresia_ramsayi:0.03273632,Antaresia_melanocephalus:0.03475002):0.04373889):0.009508868):0.004413184,(((Morelia_oenpelliensis:0.05244673,(Morelia_tracyae:0.02733242,(((Morelia_na [...]
-    TREE 70 = (Candoia_aspera:0.4106247,(Loxocemus_bicolor:0.2331907,((((((((Antaresia_childreni:0.02215029,Antaresia_stimsoni:0.009244344):0.03566251,Antaresia_perthensis:0.07581442):0.01354362,Antaresia_maculosa:0.06464157):0.00675194,((Morelia_viridisN:0.03936049,Morelia_viridisS:0.04292648):0.01785218,Morelia_carinata:0.05712708):0.01866541):0.01866694,((Morelia_oenpelliensis:0.06002338,((Morelia_tracyae:0.03985103,Morelia_amethistina:0.03190266):0.006075925,(Morelia_nauta:0.00277160 [...]
-    TREE 71 = (Candoia_aspera:0.4427327,((((Python_timoriensis:0.07904484,Python_reticulatus:0.05445465):0.06086328,((((Morelia_spilota:0.02948698,Morelia_bredli:0.04304928):0.02883553,(((Morelia_tracyae:0.03379621,((Morelia_clastolepis:0.00613919,Morelia_kinghorni:0.005279703):0.007664687,Morelia_nauta:0.002861372):0.02350224):0.004278877,Morelia_amethistina:0.02920345):0.03896447,Morelia_oenpelliensis:0.05935515):0.004404024):0.02608104,(((Antaresia_perthensis:0.06830344,(Antaresia_sti [...]
-    TREE 72 = ((Loxocemus_bicolor:0.3099623,((Python_regius:0.1377144,((Python_sebae:0.06061368,Python_molurus:0.04563488):0.03354163,Python_curtus:0.08988597):0.02558453):0.03970288,((Python_timoriensis:0.08715385,Python_reticulatus:0.05952325):0.08806109,((((Morelia_bredli:0.03275956,Morelia_spilota:0.025875):0.03529276,(Morelia_oenpelliensis:0.06489886,(Morelia_tracyae:0.03946847,(Morelia_amethistina:0.02457683,(Morelia_clastolepis:0.003320996,(Morelia_kinghorni:0.002810903,Morelia_na [...]
-    TREE 73 = (Candoia_aspera:0.4348448,((((((Morelia_boeleni:0.07664532,((Morelia_bredli:0.03846738,Morelia_spilota:0.03022961):0.03426844,(Morelia_oenpelliensis:0.05603453,(((Morelia_nauta:0.008166571,(Morelia_clastolepis:0.009570103,Morelia_kinghorni:0.008340767):0.002700153):0.01590274,Morelia_amethistina:0.02135429):0.003489883,Morelia_tracyae:0.02901899):0.0362906):0.004718814):0.03173114):0.003755895,(((Antaresia_ramsayi:0.02953742,Antaresia_melanocephalus:0.03996934):0.05390883,( [...]
-    TREE 74 = (Candoia_aspera:0.4742071,((((Python_timoriensis:0.06586218,Python_reticulatus:0.06259166):0.06589371,((((Antaresia_maculosa:0.07162944,((Antaresia_childreni:0.021786,Antaresia_stimsoni:0.01148695):0.02689859,Antaresia_perthensis:0.07131155):0.005756796):0.01229476,((Morelia_viridisS:0.04413955,Morelia_viridisN:0.05235628):0.02208944,Morelia_carinata:0.07115939):0.01801993):0.01841187,((Apodora_papuana:0.06862411,(Liasis_olivaceus:0.03289194,(Liasis_fuscus:0.02546166,Liasis [...]
-    TREE 75 = ((Loxocemus_bicolor:0.2760261,(((Python_timoriensis:0.05565623,Python_reticulatus:0.0666305):0.06163908,(((((Morelia_bredli:0.02809343,Morelia_spilota:0.02234101):0.04248839,((Morelia_tracyae:0.03855563,(Morelia_amethistina:0.0194194,((Morelia_kinghorni:0.007230503,Morelia_nauta:0.01597799):0.003673781,Morelia_clastolepis:0.002712423):0.01983554):0.00770982):0.0348642,Morelia_oenpelliensis:0.0778497):0.007505558):0.02584305,Morelia_boeleni:0.08255867):0.004142258,((Bothroch [...]
-    TREE 76 = (Candoia_aspera:0.4489852,(Loxocemus_bicolor:0.2784511,((((((Morelia_viridisS:0.0478914,Morelia_viridisN:0.03382179):0.01390197,Morelia_carinata:0.06547169):0.01186083,(((Antaresia_childreni:0.02366335,Antaresia_stimsoni:0.01261576):0.0373104,Antaresia_perthensis:0.0698693):0.009951808,Antaresia_maculosa:0.0621237):0.009221396):0.01693595,((Morelia_boeleni:0.0985658,((Bothrochilus_boa:0.06368156,Liasis_albertisii:0.05812566):0.04186163,(((Liasis_olivaceus:0.03976913,(Liasis [...]
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-    TREE 78 = (Candoia_aspera:0.3932904,(Loxocemus_bicolor:0.2749132,(((Python_curtus:0.09183693,(Python_sebae:0.07637954,Python_molurus:0.03762318):0.02709624):0.02812698,Python_regius:0.1154282):0.03559674,(((((((Antaresia_stimsoni:0.01446194,Antaresia_childreni:0.02531378):0.04006727,Antaresia_perthensis:0.06666538):0.005905826,Antaresia_maculosa:0.07190364):0.006189105,(Morelia_carinata:0.06419419,(Morelia_viridisS:0.05339065,Morelia_viridisN:0.02297795):0.03153359):0.01090103):0.016 [...]
-    TREE 79 = ((Candoia_aspera:0.4868107,Loxocemus_bicolor:0.2301868):0.06696102,(((Python_curtus:0.09902725,(Python_sebae:0.07607854,Python_molurus:0.03042101):0.01754461):0.01284939,Python_regius:0.1175586):0.05074195,((((((((Morelia_nauta:0.008126706,Morelia_kinghorni:0.005022595):0.002074662,Morelia_clastolepis:0.004239987):0.01940375,Morelia_amethistina:0.02282263):0.006885183,Morelia_tracyae:0.02829901):0.05350385,Morelia_oenpelliensis:0.07531652):0.003938017,(Morelia_spilota:0.025 [...]
-    TREE 80 = ((((Python_regius:0.1445806,(Python_curtus:0.1271761,(Python_sebae:0.08660773,Python_molurus:0.03642296):0.02308224):0.03951594):0.03432268,((Python_timoriensis:0.05008058,Python_reticulatus:0.08503014):0.07968167,((((((Liasis_fuscus:0.02531552,Liasis_mackloti:0.00943019):0.05551294,Liasis_olivaceus:0.03532999):0.01382014,Apodora_papuana:0.06672151):0.01296964,(Antaresia_ramsayi:0.02616247,Antaresia_melanocephalus:0.04629737):0.03687331):0.01178619,(((Morelia_viridisS:0.045 [...]
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-    TREE 82 = ((Loxocemus_bicolor:0.2755664,((Python_regius:0.1286608,((Python_sebae:0.08250047,Python_molurus:0.0305042):0.01309972,Python_curtus:0.09564767):0.01610108):0.04804593,((Python_timoriensis:0.07700127,Python_reticulatus:0.0470671):0.07753829,(((Morelia_boeleni:0.09111672,(Morelia_oenpelliensis:0.06892866,(((((Morelia_kinghorni:0.003380163,Morelia_nauta:0.00575853):0.006891641,Morelia_clastolepis:0.007008237):0.01516912,Morelia_amethistina:0.0213821):0.01504177,Morelia_tracya [...]
-    TREE 83 = ((Loxocemus_bicolor:0.2393583,((Python_regius:0.1362413,(Python_curtus:0.09981791,(Python_sebae:0.08732982,Python_molurus:0.03965756):0.02106739):0.01324574):0.04504424,((((((Liasis_mackloti:0.01502157,Liasis_fuscus:0.02332284):0.04350871,(Apodora_papuana:0.06142209,Liasis_olivaceus:0.03680022):0.01491341):0.0237058,(Antaresia_ramsayi:0.03335222,Antaresia_melanocephalus:0.03614687):0.05208556):0.01276464,(Morelia_boeleni:0.08159735,(((Morelia_spilota:0.02708637,Morelia_bred [...]
-    TREE 84 = ((Loxocemus_bicolor:0.2557088,((((Python_sebae:0.08304661,Python_molurus:0.04328625):0.02159618,Python_curtus:0.06878299):0.02377922,Python_regius:0.10624):0.02370423,((((Morelia_carinata:0.06516085,(Morelia_viridisS:0.03397963,Morelia_viridisN:0.03858964):0.01392689):0.01952269,(Antaresia_maculosa:0.05096261,((Antaresia_stimsoni:0.01894518,Antaresia_childreni:0.02643887):0.03187506,Antaresia_perthensis:0.06112747):0.01289749):0.007764347):0.01485805,((Morelia_boeleni:0.078 [...]
-    TREE 85 = (Candoia_aspera:0.446456,(((((Python_sebae:0.0664236,Python_molurus:0.05748319):0.01384624,Python_curtus:0.1246156):0.01920644,Python_regius:0.09562755):0.03579852,((Python_timoriensis:0.06854112,Python_reticulatus:0.07423406):0.06198347,(((((Antaresia_maculosa:0.0753139,(Antaresia_perthensis:0.05776215,(Antaresia_childreni:0.0188791,Antaresia_stimsoni:0.01203823):0.03974037):0.01302284):0.01107751,((Morelia_viridisS:0.04315065,Morelia_viridisN:0.0447115):0.01881795,Morelia [...]
-    TREE 86 = ((((Python_regius:0.1195237,((Python_molurus:0.05424041,Python_sebae:0.06745426):0.01500456,Python_curtus:0.09363999):0.01373712):0.07174102,((Python_timoriensis:0.05317857,Python_reticulatus:0.07866524):0.06443481,((((Antaresia_perthensis:0.06871814,(Antaresia_childreni:0.01631375,Antaresia_stimsoni:0.01858184):0.03573909):0.00997242,Antaresia_maculosa:0.06653337):0.01156942,((Morelia_viridisS:0.05041764,Morelia_viridisN:0.03210906):0.02278023,Morelia_carinata:0.06324297): [...]
-    TREE 87 = (Candoia_aspera:0.4403734,(Loxocemus_bicolor:0.2585825,(((Python_curtus:0.09600904,(Python_molurus:0.04325963,Python_sebae:0.06144044):0.02193821):0.03512357,Python_regius:0.1158208):0.0226537,((((((Antaresia_ramsayi:0.02896362,Antaresia_melanocephalus:0.04374086):0.05633091,(Bothrochilus_boa:0.07453325,Liasis_albertisii:0.04886916):0.0406942):0.00253113,(Apodora_papuana:0.06827618,((Liasis_fuscus:0.0190238,Liasis_mackloti:0.01240811):0.04949205,Liasis_olivaceus:0.04193583) [...]
-    TREE 88 = ((((Python_regius:0.1262411,(Python_curtus:0.1008612,(Python_sebae:0.07364004,Python_molurus:0.03651178):0.02407779):0.0260306):0.02824526,((((Morelia_boeleni:0.07070576,((Morelia_bredli:0.03022369,Morelia_spilota:0.02205107):0.02783955,(Morelia_oenpelliensis:0.0634195,(Morelia_tracyae:0.03485566,((Morelia_clastolepis:0.007226027,(Morelia_nauta:0.01372385,Morelia_kinghorni:0.01134917):0.003584604):0.009064959,Morelia_amethistina:0.02136233):0.006429469):0.02626722):0.007624 [...]
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-    TREE 90 = (((((Python_timoriensis:0.09696215,Python_reticulatus:0.05811112):0.0655036,((((((Liasis_olivaceus:0.0365148,Apodora_papuana:0.06857998):0.01276053,(Liasis_mackloti:0.008411,Liasis_fuscus:0.01901003):0.04816006):0.02602376,(Antaresia_ramsayi:0.03002571,Antaresia_melanocephalus:0.03848471):0.03704017):0.007975364,((((Antaresia_stimsoni:0.01721904,Antaresia_childreni:0.02350975):0.02876343,Antaresia_perthensis:0.07909582):0.01076695,Antaresia_maculosa:0.07836454):0.006590077, [...]
-    TREE 91 = (Candoia_aspera:0.4052354,(((Python_regius:0.1509565,(Python_curtus:0.07502647,(Python_molurus:0.03578726,Python_sebae:0.08224294):0.02128537):0.02903882):0.04946381,((Python_timoriensis:0.07174778,Python_reticulatus:0.05925871):0.07438774,(((((Antaresia_ramsayi:0.0296355,Antaresia_melanocephalus:0.03872158):0.05083471,(Bothrochilus_boa:0.04803823,Liasis_albertisii:0.04184282):0.03385926):0.006801014,(((Liasis_fuscus:0.01315756,Liasis_mackloti:0.01757213):0.04596919,Liasis_ [...]
-    TREE 92 = ((Candoia_aspera:0.4832728,Loxocemus_bicolor:0.3133952):0.05045952,(((Python_curtus:0.1003648,(Python_sebae:0.07701747,Python_molurus:0.04519635):0.02379189):0.018113,Python_regius:0.1339096):0.04035469,((Python_timoriensis:0.0802541,Python_reticulatus:0.05762582):0.07422132,((Morelia_boeleni:0.07869006,(((Morelia_oenpelliensis:0.06127573,(((Morelia_clastolepis:0.003375919,(Morelia_nauta:0.005666266,Morelia_kinghorni:0.0128026):0.002713472):0.007898866,Morelia_amethistina:0 [...]
-    TREE 93 = ((((Python_regius:0.1272317,(Python_curtus:0.09829021,(Python_sebae:0.09489939,Python_molurus:0.04318147):0.01798881):0.034006):0.0462139,((Python_timoriensis:0.05756501,Python_reticulatus:0.05855822):0.07458395,(((((Morelia_carinata:0.0619902,(Morelia_viridisS:0.05075946,Morelia_viridisN:0.03469798):0.02745101):0.007211946,(((Antaresia_stimsoni:0.0163066,Antaresia_childreni:0.02426005):0.03499836,Antaresia_perthensis:0.06839545):0.01688134,Antaresia_maculosa:0.06387924):0. [...]
-    TREE 94 = ((Loxocemus_bicolor:0.315418,(((Python_curtus:0.1002578,(Python_sebae:0.06770584,Python_molurus:0.0298364):0.01918509):0.01848734,Python_regius:0.1144905):0.04568069,((Morelia_boeleni:0.08331781,((((Morelia_carinata:0.06687796,(Morelia_viridisS:0.05088015,Morelia_viridisN:0.03185982):0.0174918):0.01702257,(((Antaresia_stimsoni:0.00951792,Antaresia_childreni:0.02495718):0.0336015,Antaresia_perthensis:0.06321583):0.01991029,Antaresia_maculosa:0.0697469):0.006936756):0.0105505 [...]
-    TREE 95 = (((((Python_sebae:0.0744125,Python_molurus:0.03313892):0.01573011,Python_curtus:0.1037118):0.01292763,Python_regius:0.1029389):0.03822617,((Morelia_boeleni:0.08820164,((((Antaresia_maculosa:0.06042653,(Antaresia_perthensis:0.0608496,(Antaresia_childreni:0.0271723,Antaresia_stimsoni:0.01380911):0.03972871):0.01204421):0.007583394,((Morelia_viridisN:0.03192192,Morelia_viridisS:0.05435536):0.02514259,Morelia_carinata:0.07010455):0.01334626):0.01615479,(((Antaresia_ramsayi:0.02 [...]
-    TREE 96 = (Candoia_aspera:0.4928541,(Loxocemus_bicolor:0.2816248,(((((Morelia_oenpelliensis:0.08393614,(Morelia_amethistina:0.02446814,(Morelia_tracyae:0.04530357,((Morelia_kinghorni:0.007960707,Morelia_clastolepis:0.01675912):0.004557217,Morelia_nauta:0.008147904):0.01430799):0.004738885):0.0274262):0.003287132,(Morelia_bredli:0.0284451,Morelia_spilota:0.02765243):0.02726073):0.02848068,((((((Morelia_viridisS:0.05303163,Morelia_viridisN:0.03323683):0.01782342,Morelia_carinata:0.0612 [...]
-    TREE 97 = (Candoia_aspera:0.4487899,((((Python_timoriensis:0.06146061,Python_reticulatus:0.05946495):0.07191773,((((Morelia_tracyae:0.0347971,(Morelia_amethistina:0.02803992,((Morelia_nauta:0.00500443,Morelia_kinghorni:0.006595522):0.003929872,Morelia_clastolepis:0.007496731):0.013329):0.01062581):0.02225971,Morelia_oenpelliensis:0.05555536):0.006840461,(Morelia_bredli:0.03307905,Morelia_spilota:0.02268619):0.02215481):0.03594669,((((Liasis_albertisii:0.03243545,Bothrochilus_boa:0.05 [...]
-    TREE 98 = (((((Python_curtus:0.1013429,(Python_molurus:0.03905245,Python_sebae:0.06607451):0.01882211):0.02961412,Python_regius:0.1080206):0.04239082,((Python_timoriensis:0.05902375,Python_reticulatus:0.0508136):0.06075674,((Morelia_boeleni:0.06727115,((Bothrochilus_boa:0.05342648,Liasis_albertisii:0.05218567):0.02163257,((Antaresia_ramsayi:0.02493475,Antaresia_melanocephalus:0.03825297):0.04441375,((Liasis_olivaceus:0.04086729,Apodora_papuana:0.05537593):0.009908886,(Liasis_fuscus:0 [...]
-    TREE 99 = ((((Python_timoriensis:0.05073709,Python_reticulatus:0.07277766):0.06283212,(Morelia_boeleni:0.08695013,(((((Antaresia_maculosa:0.08512621,(Antaresia_perthensis:0.07026724,(Antaresia_childreni:0.03156755,Antaresia_stimsoni:0.0139927):0.03766207):0.01538491):0.004298772,((Morelia_viridisS:0.03700609,Morelia_viridisN:0.04516503):0.03111741,Morelia_carinata:0.05135428):0.006007194):0.02055132,((((Liasis_fuscus:0.01989677,Liasis_mackloti:0.006589301):0.05645972,Liasis_olivaceus [...]
-    TREE 100 = (Candoia_aspera:0.4332915,((((Python_curtus:0.1152573,(Python_molurus:0.03795271,Python_sebae:0.0840193):0.01046507):0.01900506,Python_regius:0.1219839):0.03456921,((Python_timoriensis:0.05963154,Python_reticulatus:0.06979965):0.0631162,((((((Morelia_oenpelliensis:0.0510031,(Morelia_tracyae:0.05728741,((Morelia_clastolepis:0.00554597,(Morelia_kinghorni:0.007204392,Morelia_nauta:0.01336245):0.004239199):0.01553404,Morelia_amethistina:0.0174348):0.009414604):0.04888199):0.00 [...]
-    TREE 101 = ((((Python_timoriensis:0.05801513,Python_reticulatus:0.07722868):0.06553758,((((Morelia_bredli:0.03139869,Morelia_spilota:0.02840328):0.02824259,((((Morelia_clastolepis:0.00205874,(Morelia_nauta:0.01238758,Morelia_kinghorni:0.00354312):0.006115592):0.01059278,Morelia_tracyae:0.04180855):0.0009798313,Morelia_amethistina:0.02698061):0.03620676,Morelia_oenpelliensis:0.07046009):0.01248873):0.02405634,((Morelia_carinata:0.07603419,(Morelia_viridisN:0.02986943,Morelia_viridisS: [...]
-    TREE 11 = (Candoia_aspera:0.4514987,((((Python_reticulatus:0.05002665,Python_timoriensis:0.07676918):0.07413768,((Liasis_albertisii:0.0645974,Bothrochilus_boa:0.0641873):0.03771287,((Morelia_boeleni:0.09023818,(((Morelia_carinata:0.05665086,(Morelia_viridisN:0.02441905,Morelia_viridisS:0.05618434):0.03360802):0.01153914,(Antaresia_maculosa:0.06928336,(Antaresia_perthensis:0.06768544,(Antaresia_childreni:0.0232448,Antaresia_stimsoni:0.01980798):0.0361576):0.01361446):0.007641934):0.01 [...]
-    TREE 12 = (((Python_regius:0.1195811,(Python_curtus:0.101114,(Python_molurus:0.03377527,Python_sebae:0.08745063):0.01391006):0.01872767):0.0423752,((((((Liasis_olivaceus:0.04405596,Apodora_papuana:0.05899017):0.01893467,(Liasis_mackloti:0.01092328,Liasis_fuscus:0.01664283):0.0462348):0.0195773,(Antaresia_melanocephalus:0.03674829,Antaresia_ramsayi:0.02147645):0.04341939):0.005780893,((Morelia_carinata:0.07176092,(Morelia_viridisN:0.03358656,Morelia_viridisS:0.05472175):0.02865343):0. [...]
-    TREE 13 = ((Loxocemus_bicolor:0.255402,(((Morelia_boeleni:0.07990584,((((((Antaresia_childreni:0.02146837,Antaresia_stimsoni:0.01322464):0.03931901,Antaresia_perthensis:0.06801511):0.01225223,Antaresia_maculosa:0.08151301):0.008640029,(Morelia_carinata:0.05972546,(Morelia_viridisN:0.04594044,Morelia_viridisS:0.05674085):0.0189179):0.007972871):0.01533096,((Morelia_bredli:0.02451975,Morelia_spilota:0.0358741):0.03381143,(Morelia_oenpelliensis:0.05865898,(Morelia_tracyae:0.03683725,((M [...]
-    TREE 14 = ((Candoia_aspera:0.4473626,Loxocemus_bicolor:0.2344362):0.02036165,((((Python_molurus:0.03949217,Python_sebae:0.08887615):0.0135172,Python_regius:0.1395213):0.01295109,Python_curtus:0.09972717):0.05815295,(((((Apodora_papuana:0.05956359,(Liasis_olivaceus:0.04120433,(Liasis_mackloti:0.01339387,Liasis_fuscus:0.01811019):0.05259457):0.01505299):0.02662488,(Antaresia_melanocephalus:0.03133705,Antaresia_ramsayi:0.0411973):0.05179539):0.01417946,((Antaresia_maculosa:0.05978383,(A [...]
-    TREE 15 = (((((Python_curtus:0.1133995,(Python_molurus:0.03883978,Python_sebae:0.08963129):0.02452025):0.02667311,Python_regius:0.09942004):0.04684523,((Python_timoriensis:0.05561288,Python_reticulatus:0.05469003):0.0510733,((Morelia_boeleni:0.08459562,((Morelia_oenpelliensis:0.07649581,(Morelia_tracyae:0.06857963,(Morelia_amethistina:0.03090716,((Morelia_kinghorni:0.01143323,Morelia_clastolepis:0.009882759):0.005533701,Morelia_nauta:0.005203006):0.01649407):0.006763233):0.03048232): [...]
-    TREE 16 = (Candoia_aspera:0.454411,((((Python_curtus:0.1047953,(Python_molurus:0.04792883,Python_sebae:0.06590967):0.01822905):0.02141573,Python_regius:0.1076625):0.04547916,((Python_timoriensis:0.0652374,Python_reticulatus:0.05757644):0.06733267,(((Bothrochilus_boa:0.06078097,Liasis_albertisii:0.05895738):0.03564124,((Morelia_spilota:0.03153276,Morelia_bredli:0.03022422):0.03004519,(Morelia_oenpelliensis:0.05195458,(Morelia_tracyae:0.04952684,(Morelia_amethistina:0.0167668,(Morelia_ [...]
-    TREE 17 = ((Loxocemus_bicolor:0.2950447,Candoia_aspera:0.4956194):0.03409912,(((Python_reticulatus:0.06170708,Python_timoriensis:0.07679534):0.06662456,((((Liasis_fuscus:0.02247032,Liasis_mackloti:0.01165581):0.05333089,(Liasis_olivaceus:0.03201475,Apodora_papuana:0.07040275):0.01349114):0.01793611,(Antaresia_ramsayi:0.02707999,Antaresia_melanocephalus:0.04144063):0.07271472):0.0143494,((Morelia_boeleni:0.07941718,((Morelia_oenpelliensis:0.07000013,((Morelia_tracyae:0.04297898,(Morel [...]
-    TREE 18 = (Candoia_aspera:0.4206473,((((((Bothrochilus_boa:0.05545258,Liasis_albertisii:0.05086388):0.02245116,(((((Morelia_tracyae:0.04497596,(Morelia_clastolepis:0.002300433,(Morelia_kinghorni:0.007580557,Morelia_nauta:0.01209723):0.007905989):0.009573244):0.003758006,Morelia_amethistina:0.02453728):0.04117076,Morelia_oenpelliensis:0.05460769):0.009776291,(Morelia_spilota:0.02406363,Morelia_bredli:0.02809877):0.02882019):0.03137162,Morelia_boeleni:0.08935267):0.00152077):0.01108653 [...]
-    TREE 19 = ((Loxocemus_bicolor:0.2758306,(((Morelia_boeleni:0.09712222,((((Apodora_papuana:0.06032311,(Liasis_olivaceus:0.03718835,(Liasis_fuscus:0.01776308,Liasis_mackloti:0.02078969):0.0453022):0.01128282):0.01605221,(Antaresia_ramsayi:0.02804757,Antaresia_melanocephalus:0.03257871):0.06131908):0.008631585,(Liasis_albertisii:0.06289567,Bothrochilus_boa:0.05847094):0.02659356):0.001774679,(((((Antaresia_childreni:0.0293294,Antaresia_stimsoni:0.01419086):0.03654786,Antaresia_perthensi [...]
-    TREE 20 = (((Python_regius:0.09707175,(Python_curtus:0.105097,(Python_molurus:0.03923706,Python_sebae:0.06965362):0.02029509):0.02375806):0.04989682,((Python_reticulatus:0.06519806,Python_timoriensis:0.06124822):0.07887286,((((((Antaresia_stimsoni:0.01019489,Antaresia_childreni:0.02732365):0.03463165,Antaresia_perthensis:0.06931207):0.0109482,Antaresia_maculosa:0.07265653):0.007259249,((Morelia_viridisS:0.0544687,Morelia_viridisN:0.03351613):0.02469302,Morelia_carinata:0.05918813):0. [...]
-    TREE 21 = (Candoia_aspera:0.5100953,(((((Python_sebae:0.07591037,Python_molurus:0.04685888):0.0159693,Python_curtus:0.1194869):0.03190542,Python_regius:0.1219057):0.03764082,((Python_reticulatus:0.06955304,Python_timoriensis:0.06829867):0.07106028,(((((Morelia_viridisN:0.04546841,Morelia_viridisS:0.03973028):0.03274359,Morelia_carinata:0.07279532):0.01029072,(Antaresia_maculosa:0.06514227,(Antaresia_perthensis:0.04889998,(Antaresia_childreni:0.02577757,Antaresia_stimsoni:0.01387249): [...]
-    TREE 22 = ((Loxocemus_bicolor:0.2604766,Candoia_aspera:0.477939):0.04974364,((Python_regius:0.1139038,(Python_curtus:0.07771172,(Python_molurus:0.0329663,Python_sebae:0.07713101):0.01611444):0.02797897):0.03766492,((Python_reticulatus:0.07004576,Python_timoriensis:0.0529521):0.07873452,(((Liasis_albertisii:0.06200187,Bothrochilus_boa:0.04445638):0.04020958,(Morelia_boeleni:0.09025494,((Antaresia_ramsayi:0.03416303,Antaresia_melanocephalus:0.04850508):0.05644415,(Apodora_papuana:0.054 [...]
-    TREE 23 = ((Loxocemus_bicolor:0.262835,Candoia_aspera:0.4233526):0.05244274,((Python_regius:0.1431143,(Python_curtus:0.1154717,(Python_molurus:0.03285879,Python_sebae:0.08925105):0.0224638):0.03287098):0.04580999,((((Morelia_spilota:0.03001221,Morelia_bredli:0.02447762):0.02814649,(((((Morelia_kinghorni:0.006512097,Morelia_nauta:0.005269942):0.004088566,Morelia_clastolepis:0.006666917):0.01101066,Morelia_tracyae:0.03173798):0.003501345,Morelia_amethistina:0.02439264):0.04355536,Morel [...]
-    TREE 24 = (Candoia_aspera:0.4612549,(((Python_regius:0.1091584,(Python_curtus:0.09906034,(Python_molurus:0.04003386,Python_sebae:0.08731364):0.007798586):0.02269536):0.0371614,(((((((Antaresia_stimsoni:0.01576134,Antaresia_childreni:0.01874793):0.0397746,Antaresia_perthensis:0.06988391):0.0103778,Antaresia_maculosa:0.07115922):0.01047385,((Morelia_viridisN:0.03623554,Morelia_viridisS:0.05393487):0.02483759,Morelia_carinata:0.06020019):0.01557238):0.01448435,(((Morelia_spilota:0.03095 [...]
-    TREE 25 = (Candoia_aspera:0.5061518,(((Python_regius:0.1146303,(Python_curtus:0.09799544,(Python_sebae:0.07231277,Python_molurus:0.03281137):0.02135392):0.02387459):0.0490128,((((((((Morelia_kinghorni:0.008090824,Morelia_nauta:0.00677865):0.004636801,Morelia_clastolepis:0.006176168):0.02159217,(Morelia_amethistina:0.02774497,Morelia_tracyae:0.06031651):0.005094471):0.0378395,Morelia_oenpelliensis:0.06740112):0.002512368,(Morelia_bredli:0.02727586,Morelia_spilota:0.02655475):0.0345744 [...]
-    TREE 26 = (Candoia_aspera:0.4117214,(((((((Morelia_spilota:0.02966092,Morelia_bredli:0.02248443):0.03277605,(((((Morelia_kinghorni:0.008210078,Morelia_nauta:0.007966455):0.004548794,Morelia_clastolepis:0.006720723):0.009598362,Morelia_amethistina:0.02268765):0.007693427,Morelia_tracyae:0.03961947):0.03682493,Morelia_oenpelliensis:0.05115676):0.008050052):0.03203021,((((Antaresia_stimsoni:0.02444624,Antaresia_childreni:0.0252333):0.0318095,Antaresia_perthensis:0.0763034):0.01333969,An [...]
-    TREE 27 = (((((Morelia_boeleni:0.08136462,(((((Liasis_mackloti:0.01469392,Liasis_fuscus:0.02004376):0.04217133,(Liasis_olivaceus:0.04287108,Apodora_papuana:0.04818141):0.01302773):0.02332967,(Antaresia_ramsayi:0.02924354,Antaresia_melanocephalus:0.03579885):0.03955978):0.01125768,(Liasis_albertisii:0.0485576,Bothrochilus_boa:0.05695902):0.02309585):0.001063857,(((Morelia_spilota:0.02560891,Morelia_bredli:0.03012455):0.02098186,((Morelia_tracyae:0.03688196,((Morelia_clastolepis:0.0031 [...]
-    TREE 28 = (Candoia_aspera:0.4449872,(((((Python_molurus:0.03453011,Python_sebae:0.08373404):0.008449763,Python_curtus:0.08456065):0.03067617,Python_regius:0.1044486):0.03640394,(((((Antaresia_melanocephalus:0.03645403,Antaresia_ramsayi:0.0313611):0.05991626,((Liasis_olivaceus:0.03968883,Apodora_papuana:0.0610017):0.007050161,(Liasis_mackloti:0.006764323,Liasis_fuscus:0.02324538):0.05418435):0.01189356):0.003175782,(((Morelia_viridisN:0.03366704,Morelia_viridisS:0.04775397):0.01973658 [...]
-    TREE 29 = ((((Python_regius:0.08981924,((Python_sebae:0.07555498,Python_molurus:0.03563937):0.02936048,Python_curtus:0.08984143):0.009248537):0.03159094,((Python_reticulatus:0.05470638,Python_timoriensis:0.0862496):0.06055097,(((Liasis_albertisii:0.04162999,Bothrochilus_boa:0.0473893):0.0379235,((Antaresia_ramsayi:0.02152948,Antaresia_melanocephalus:0.03427138):0.05178105,((Apodora_papuana:0.05024696,Liasis_olivaceus:0.04916695):0.01541814,(Liasis_fuscus:0.02006362,Liasis_mackloti:0. [...]
-    TREE 30 = ((((Python_reticulatus:0.05656672,Python_timoriensis:0.0615847):0.06869705,(Morelia_boeleni:0.08434733,(((((Morelia_viridisN:0.02822289,Morelia_viridisS:0.04455322):0.0211784,Morelia_carinata:0.06338099):0.01717543,(Antaresia_maculosa:0.06683547,((Antaresia_childreni:0.01892756,Antaresia_stimsoni:0.01717541):0.03864759,Antaresia_perthensis:0.07570149):0.006255439):0.01023573):0.01303267,((Morelia_oenpelliensis:0.05786269,(Morelia_tracyae:0.03557059,(Morelia_amethistina:0.01 [...]
-    TREE 31 = (((((Python_molurus:0.04063373,Python_sebae:0.07514814):0.01706889,Python_curtus:0.08816209):0.02794301,Python_regius:0.126422):0.04901962,((Python_timoriensis:0.07078427,Python_reticulatus:0.06491265):0.06423406,((Bothrochilus_boa:0.05380913,Liasis_albertisii:0.0547089):0.03656184,((((Morelia_spilota:0.02872934,Morelia_bredli:0.02312623):0.03137145,((Morelia_tracyae:0.03510673,((Morelia_clastolepis:0.006385572,(Morelia_nauta:0.007006281,Morelia_kinghorni:0.00643803):0.0033 [...]
-    TREE 32 = ((Candoia_aspera:0.455204,Loxocemus_bicolor:0.2917998):0.04406212,(((Python_timoriensis:0.08183563,Python_reticulatus:0.04512444):0.06887124,((Morelia_boeleni:0.07321775,((Bothrochilus_boa:0.05326229,Liasis_albertisii:0.05245776):0.02197908,((Morelia_spilota:0.02674636,Morelia_bredli:0.03649268):0.0215502,(((Morelia_amethistina:0.03120252,((Morelia_kinghorni:0.005435696,Morelia_nauta:0.007088191):0.01118478,Morelia_clastolepis:0.01091913):0.01733689):0.01347604,Morelia_trac [...]
-    TREE 33 = ((Loxocemus_bicolor:0.2844377,(((Python_curtus:0.1019715,(Python_molurus:0.0429412,Python_sebae:0.08466812):0.02263815):0.02075651,Python_regius:0.1237921):0.03677393,((((Morelia_bredli:0.03119378,Morelia_spilota:0.0233967):0.03652172,(Morelia_oenpelliensis:0.06481902,(Morelia_tracyae:0.04483205,(Morelia_amethistina:0.02436113,((Morelia_kinghorni:0.01747546,Morelia_clastolepis:0.00549594):0.01011681,Morelia_nauta:0.002591119):0.0210983):0.01280651):0.0297356):0.01493592):0. [...]
-    TREE 34 = (Candoia_aspera:0.4195906,((((Python_timoriensis:0.04978334,Python_reticulatus:0.06443191):0.05665736,(((((Antaresia_perthensis:0.06844294,(Antaresia_stimsoni:0.01290088,Antaresia_childreni:0.02636597):0.03241306):0.01075944,Antaresia_maculosa:0.07323313):0.006654512,(Morelia_carinata:0.0807921,(Morelia_viridisN:0.03638272,Morelia_viridisS:0.04498738):0.02539871):0.00670575):0.02185193,((Antaresia_melanocephalus:0.03991443,Antaresia_ramsayi:0.03267628):0.04173048,((Apodora_ [...]
-    TREE 35 = (Candoia_aspera:0.4486796,((((Python_timoriensis:0.06160357,Python_reticulatus:0.05899547):0.06210065,((((Morelia_carinata:0.07039268,(Morelia_viridisN:0.02717392,Morelia_viridisS:0.05285822):0.01629177):0.01622682,((Antaresia_perthensis:0.06306544,(Antaresia_stimsoni:0.01439114,Antaresia_childreni:0.02655157):0.0412621):0.01020385,Antaresia_maculosa:0.06175795):0.004266058):0.01947729,(((Morelia_spilota:0.02145622,Morelia_bredli:0.02229659):0.03046973,Morelia_oenpelliensis [...]
-    TREE 36 = (Candoia_aspera:0.4677103,(((((Python_sebae:0.06512575,Python_molurus:0.03856891):0.02502744,Python_curtus:0.09008242):0.01898717,Python_regius:0.1106015):0.03137335,((Python_reticulatus:0.04563797,Python_timoriensis:0.09058164):0.08538711,((((Liasis_albertisii:0.06089568,Bothrochilus_boa:0.05524926):0.04386574,((Apodora_papuana:0.06280342,(Liasis_olivaceus:0.04780041,(Liasis_mackloti:0.008650393,Liasis_fuscus:0.02488376):0.04392434):0.008986177):0.02061411,(Antaresia_ramsa [...]
-    TREE 37 = (Candoia_aspera:0.4769489,((((Python_curtus:0.09808627,(Python_sebae:0.08711612,Python_molurus:0.03361382):0.01601466):0.0235876,Python_regius:0.1375817):0.04256167,((((Morelia_boeleni:0.07606632,((Morelia_spilota:0.03282064,Morelia_bredli:0.02378048):0.02364717,((Morelia_tracyae:0.02877539,((Morelia_nauta:0.00251251,(Morelia_kinghorni:0.008524486,Morelia_clastolepis:0.004699519):0.006302931):0.01200433,Morelia_amethistina:0.02906535):0.004316516):0.02884597,Morelia_oenpell [...]
-    TREE 38 = (Candoia_aspera:0.3773662,(Loxocemus_bicolor:0.2249788,((((Python_sebae:0.06651892,Python_molurus:0.03498734):0.02464912,Python_curtus:0.07673166):0.01052472,Python_regius:0.1129523):0.04464117,((Python_reticulatus:0.05448691,Python_timoriensis:0.06477214):0.07192476,((((Antaresia_ramsayi:0.03292673,Antaresia_melanocephalus:0.04036128):0.04562737,(Apodora_papuana:0.06416247,((Liasis_mackloti:0.01160595,Liasis_fuscus:0.02231178):0.04907739,Liasis_olivaceus:0.03522126):0.0094 [...]
-    TREE 39 = (((((Python_timoriensis:0.08188618,Python_reticulatus:0.06378417):0.08001537,(((((Morelia_spilota:0.02781278,Morelia_bredli:0.03197371):0.03154039,((Morelia_tracyae:0.02607517,((Morelia_clastolepis:0.002039059,(Morelia_nauta:0.008565151,Morelia_kinghorni:0.011925):0.001514738):0.02744645,Morelia_amethistina:0.01836739):0.02055508):0.03028903,Morelia_oenpelliensis:0.04405405):0.008923189):0.0305229,(Bothrochilus_boa:0.06679369,Liasis_albertisii:0.06716246):0.02623561):0.0041 [...]
-    TREE 40 = (Candoia_aspera:0.4208013,(Loxocemus_bicolor:0.2355042,(((Python_curtus:0.1002398,(Python_molurus:0.04971005,Python_sebae:0.07534479):0.01490631):0.02483788,Python_regius:0.13122):0.04845283,(((((((Antaresia_childreni:0.02476396,Antaresia_stimsoni:0.01173612):0.03504246,Antaresia_perthensis:0.06446316):0.007543391,Antaresia_maculosa:0.05640942):0.007865894,(Morelia_carinata:0.04620256,(Morelia_viridisN:0.03105739,Morelia_viridisS:0.06619639):0.02895136):0.01983984):0.014129 [...]
-    TREE 41 = ((((Python_timoriensis:0.06996509,Python_reticulatus:0.06574926):0.06676801,((((((Antaresia_stimsoni:0.02009407,Antaresia_childreni:0.02232226):0.04431973,Antaresia_perthensis:0.06572423):0.01161341,Antaresia_maculosa:0.07414321):0.006251875,(Morelia_carinata:0.05239441,(Morelia_viridisN:0.03753331,Morelia_viridisS:0.06370906):0.02254906):0.01009813):0.02270443,((Bothrochilus_boa:0.0655155,Liasis_albertisii:0.04513337):0.0402801,((Antaresia_melanocephalus:0.0488194,Antaresi [...]
-    TREE 42 = ((Loxocemus_bicolor:0.2558653,(((Python_reticulatus:0.06041035,Python_timoriensis:0.0495409):0.05712625,(((((Morelia_oenpelliensis:0.06264648,(Morelia_tracyae:0.03295818,((Morelia_nauta:0.004162228,(Morelia_kinghorni:0.007212826,Morelia_clastolepis:0.005783804):0.004869042):0.007822257,Morelia_amethistina:0.02845611):0.008115491):0.02341889):0.004693379,(Morelia_bredli:0.0245021,Morelia_spilota:0.03264814):0.03222283):0.03051242,Morelia_boeleni:0.08301486):0.002222387,(((An [...]
-    TREE 43 = (Candoia_aspera:0.4912831,(Loxocemus_bicolor:0.3305818,(((Python_timoriensis:0.08964648,Python_reticulatus:0.05531334):0.06829904,((((Antaresia_ramsayi:0.02711878,Antaresia_melanocephalus:0.04111096):0.04432045,((Liasis_olivaceus:0.03420107,Apodora_papuana:0.06162698):0.01501303,(Liasis_fuscus:0.01828714,Liasis_mackloti:0.01248727):0.04523117):0.02292171):0.01276623,(Liasis_albertisii:0.06893302,Bothrochilus_boa:0.06296997):0.0452054):0.006619568,((((Antaresia_perthensis:0. [...]
-    TREE 44 = ((Candoia_aspera:0.4282801,Loxocemus_bicolor:0.2557565):0.07118735,((((((Morelia_spilota:0.028086,Morelia_bredli:0.03424453):0.04515606,(Morelia_oenpelliensis:0.04825777,(Morelia_tracyae:0.04446028,(Morelia_amethistina:0.02748901,((Morelia_kinghorni:0.007643079,Morelia_clastolepis:0.008964228):0.003093159,Morelia_nauta:0.009113297):0.0223688):0.01055831):0.02851381):0.01327409):0.02105642,Morelia_boeleni:0.1081844):0.0002377406,(((Antaresia_maculosa:0.06232342,((Antaresia_s [...]
-    TREE 45 = ((Loxocemus_bicolor:0.2120497,Candoia_aspera:0.4029712):0.01332453,(((Python_reticulatus:0.05061441,Python_timoriensis:0.06134717):0.05990154,(((((Morelia_spilota:0.02971883,Morelia_bredli:0.02865454):0.02874998,(((Morelia_amethistina:0.02414642,((Morelia_kinghorni:0.005704897,Morelia_nauta:0.002618733):0.008513417,Morelia_clastolepis:0.008472477):0.01483608):0.01170621,Morelia_tracyae:0.03162107):0.02879083,Morelia_oenpelliensis:0.05522263):0.001620195):0.01422465,Morelia_ [...]
-    TREE 46 = (((((((((Morelia_spilota:0.02655895,Morelia_bredli:0.03511595):0.03519584,(((Morelia_nauta:0.001228679,(Morelia_clastolepis:0.007831828,Morelia_kinghorni:0.004732577):0.009794926):0.0277251,(Morelia_tracyae:0.05416658,Morelia_amethistina:0.02597948):0.00171186):0.04197238,Morelia_oenpelliensis:0.06708394):0.004278351):0.02486795,Morelia_boeleni:0.09303988):0.006333662,(((Apodora_papuana:0.06684645,((Liasis_mackloti:0.01200195,Liasis_fuscus:0.02916414):0.03911876,Liasis_oliv [...]
-    TREE 47 = ((Loxocemus_bicolor:0.2318016,Candoia_aspera:0.4164175):0.03116619,(((Python_timoriensis:0.08144411,Python_reticulatus:0.04430293):0.05610403,((((((Morelia_viridisN:0.03542506,Morelia_viridisS:0.0572556):0.01990815,Morelia_carinata:0.06651258):0.01302045,((Antaresia_perthensis:0.06573364,(Antaresia_stimsoni:0.01771713,Antaresia_childreni:0.0257728):0.04164447):0.02274534,Antaresia_maculosa:0.05726758):0.007223601):0.01653506,((Morelia_bredli:0.03162414,Morelia_spilota:0.024 [...]
-    TREE 48 = ((Loxocemus_bicolor:0.2613632,Candoia_aspera:0.4005454):0.03571461,(((Python_timoriensis:0.06195748,Python_reticulatus:0.0623511):0.05797901,((((Morelia_bredli:0.02536408,Morelia_spilota:0.02897979):0.02486894,(Morelia_oenpelliensis:0.05232564,(Morelia_tracyae:0.0343304,(Morelia_amethistina:0.02615847,((Morelia_kinghorni:0.01046447,Morelia_nauta:0.005524241):0.004390938,Morelia_clastolepis:0.001738627):0.01218575):0.005278279):0.03427753):0.002326722):0.01558027,Morelia_boe [...]
-    TREE 49 = (Candoia_aspera:0.4611198,(((((Python_molurus:0.03619845,Python_sebae:0.0821524):0.01438549,Python_curtus:0.1332483):0.02854173,Python_regius:0.1243103):0.02839463,((Python_reticulatus:0.06396125,Python_timoriensis:0.07307362):0.07136561,(((((Morelia_oenpelliensis:0.06325029,(Morelia_tracyae:0.06238511,((Morelia_nauta:0.004572369,(Morelia_kinghorni:0.005569767,Morelia_clastolepis:0.005787334):0.006707192):0.0199103,Morelia_amethistina:0.02755908):0.004445603):0.04539337):0. [...]
-    TREE 50 = ((Loxocemus_bicolor:0.2767771,((Python_regius:0.1271252,(Python_curtus:0.09296392,(Python_sebae:0.09383303,Python_molurus:0.03726204):0.01252763):0.01701399):0.03783387,((((((Liasis_fuscus:0.01831367,Liasis_mackloti:0.01081487):0.04196987,(Liasis_olivaceus:0.03974469,Apodora_papuana:0.05023767):0.005300062):0.01275833,(Antaresia_ramsayi:0.02844938,Antaresia_melanocephalus:0.03307184):0.046393):0.004489448,(Liasis_albertisii:0.05207137,Bothrochilus_boa:0.05848669):0.03651395 [...]
-    TREE 51 = ((Loxocemus_bicolor:0.1953644,Candoia_aspera:0.4090651):0.07135976,((Python_regius:0.08788631,(Python_curtus:0.09299281,(Python_sebae:0.08835472,Python_molurus:0.04266492):0.01617591):0.02337683):0.03766133,(((((((Morelia_tracyae:0.02987496,((Morelia_nauta:0.005035972,(Morelia_clastolepis:0.009349248,Morelia_kinghorni:0.011742):0.006892148):0.007373184,Morelia_amethistina:0.02331562):0.01523232):0.03311424,Morelia_oenpelliensis:0.06063279):0.01006941,(Morelia_bredli:0.03232 [...]
-    TREE 52 = (Candoia_aspera:0.4675925,(Loxocemus_bicolor:0.3794991,((((((((Liasis_fuscus:0.01909646,Liasis_mackloti:0.0121694):0.04627307,Liasis_olivaceus:0.03963934):0.01307675,Apodora_papuana:0.06285513):0.009469208,(Antaresia_ramsayi:0.03031447,Antaresia_melanocephalus:0.04619856):0.05525247):0.01141626,((Morelia_boeleni:0.07503417,((Morelia_bredli:0.02530584,Morelia_spilota:0.02564753):0.0288385,(((Morelia_amethistina:0.03204628,((Morelia_kinghorni:0.008460891,Morelia_nauta:0.00626 [...]
-    TREE 53 = ((Loxocemus_bicolor:0.2333575,(((((Antaresia_maculosa:0.06466482,(Antaresia_perthensis:0.06424014,(Antaresia_stimsoni:0.02296361,Antaresia_childreni:0.01801302):0.03375228):0.01303995):0.007496688,(Morelia_carinata:0.06781954,(Morelia_viridisN:0.03859534,Morelia_viridisS:0.05089484):0.02204771):0.01143718):0.02112735,(((Apodora_papuana:0.06130652,(Liasis_olivaceus:0.0411087,(Liasis_fuscus:0.01402491,Liasis_mackloti:0.01771778):0.05455264):0.006364489):0.02208133,(Antaresia_ [...]
-    TREE 54 = ((Loxocemus_bicolor:0.3201657,(((Python_timoriensis:0.0581893,Python_reticulatus:0.05907456):0.06282391,(((Bothrochilus_boa:0.06679214,Liasis_albertisii:0.06431971):0.03525423,((Morelia_spilota:0.02382529,Morelia_bredli:0.03023749):0.04178667,((((Morelia_clastolepis:0.005759701,(Morelia_nauta:0.009415851,Morelia_kinghorni:0.005412919):0.01556562):0.01821965,Morelia_tracyae:0.05033836):0.013102,Morelia_amethistina:0.01994143):0.03911183,Morelia_oenpelliensis:0.06652114):0.00 [...]
-    TREE 55 = (Candoia_aspera:0.4363239,(Loxocemus_bicolor:0.274237,(((Python_reticulatus:0.04577835,Python_timoriensis:0.1033163):0.06046119,((((Antaresia_maculosa:0.07537991,(Antaresia_perthensis:0.06182352,(Antaresia_childreni:0.02228823,Antaresia_stimsoni:0.02032132):0.04573505):0.009092116):0.008593031,((Morelia_viridisN:0.02746149,Morelia_viridisS:0.05577087):0.02431754,Morelia_carinata:0.05783515):0.01411612):0.01847424,(Morelia_boeleni:0.08157485,((Apodora_papuana:0.06043711,((Li [...]
-    TREE 56 = ((Loxocemus_bicolor:0.2326946,(((Python_reticulatus:0.04186498,Python_timoriensis:0.08553525):0.0631943,((((Morelia_oenpelliensis:0.06840764,((Morelia_amethistina:0.02496099,(((Morelia_kinghorni:0.008738223,Morelia_clastolepis:0.006100998):0.009642316,Morelia_nauta:0.005706378):0.02156259,Morelia_tracyae:0.05879199):0.002015818):0.03385588,(Morelia_bredli:0.02514599,Morelia_spilota:0.02152035):0.04255435):0.003652759):0.0287093,Morelia_boeleni:0.08673253):0.004519537,(((Ant [...]
-    TREE 57 = ((((((((Antaresia_maculosa:0.06753452,((Antaresia_stimsoni:0.0174042,Antaresia_childreni:0.02406376):0.03572501,Antaresia_perthensis:0.0853869):0.009132408):0.007193958,((Morelia_viridisS:0.04378142,Morelia_viridisN:0.0372949):0.02842223,Morelia_carinata:0.06825358):0.01252652):0.02117735,((((Morelia_amethistina:0.02015902,Morelia_tracyae:0.05018288):0.006975072,(Morelia_clastolepis:0.008999008,(Morelia_nauta:0.01056224,Morelia_kinghorni:0.006781781):0.004545883):0.0169317) [...]
-    TREE 58 = (Candoia_aspera:0.4610956,(((Python_regius:0.1232013,(Python_curtus:0.1051752,(Python_sebae:0.07803735,Python_molurus:0.04395386):0.02047164):0.02053317):0.02733087,((Python_timoriensis:0.0786524,Python_reticulatus:0.05985872):0.05331236,((Morelia_boeleni:0.08349698,(((Bothrochilus_boa:0.0507127,Liasis_albertisii:0.05617265):0.03450997,((Antaresia_melanocephalus:0.03825353,Antaresia_ramsayi:0.02731536):0.05230166,(Apodora_papuana:0.05528345,((Liasis_mackloti:0.01561896,Lias [...]
-    TREE 59 = ((Loxocemus_bicolor:0.2573866,(((Python_curtus:0.09793072,(Python_sebae:0.08371425,Python_molurus:0.04299976):0.01409514):0.02153569,Python_regius:0.09829285):0.05479509,((Python_timoriensis:0.07710499,Python_reticulatus:0.05454431):0.07863418,(((Morelia_boeleni:0.08457115,((Morelia_spilota:0.03016478,Morelia_bredli:0.02802035):0.03625794,(Morelia_oenpelliensis:0.05700879,((((Morelia_nauta:0.01178942,Morelia_kinghorni:0.008054588):0.002399088,Morelia_clastolepis:0.001528491 [...]
-    TREE 60 = (((((Python_timoriensis:0.07926416,Python_reticulatus:0.07137747):0.07251304,((((Morelia_carinata:0.06855047,(Morelia_viridisN:0.04314394,Morelia_viridisS:0.04266962):0.01684549):0.01320995,(Antaresia_maculosa:0.09354209,((Antaresia_stimsoni:0.01078989,Antaresia_childreni:0.02589992):0.04603335,Antaresia_perthensis:0.05790963):0.006737519):0.009808671):0.02509982,(((Antaresia_melanocephalus:0.04321766,Antaresia_ramsayi:0.03739094):0.05413265,(Bothrochilus_boa:0.06058307,Lia [...]
-    TREE 61 = (Candoia_aspera:0.4378292,(Loxocemus_bicolor:0.2662484,(((Python_timoriensis:0.06384791,Python_reticulatus:0.07183585):0.07502361,((((Morelia_carinata:0.06462666,(Morelia_viridisN:0.03903769,Morelia_viridisS:0.0577421):0.02035461):0.01936315,(Antaresia_maculosa:0.05436798,((Antaresia_stimsoni:0.01573073,Antaresia_childreni:0.0211433):0.03806001,Antaresia_perthensis:0.0699794):0.004109115):0.005422296):0.01634019,((Antaresia_melanocephalus:0.03891313,Antaresia_ramsayi:0.0293 [...]
-    TREE 62 = ((((((((((Antaresia_childreni:0.01558902,Antaresia_stimsoni:0.01595246):0.04430847,Antaresia_perthensis:0.07562575):0.007701339,Antaresia_maculosa:0.08918545):0.00634405,((Morelia_viridisN:0.03328426,Morelia_viridisS:0.05089523):0.01773241,Morelia_carinata:0.06823346):0.009729754):0.0283175,((Liasis_albertisii:0.03628829,Bothrochilus_boa:0.06273807):0.05446115,((Antaresia_ramsayi:0.02195563,Antaresia_melanocephalus:0.04103237):0.04937809,(Apodora_papuana:0.06748454,((Liasis [...]
-    TREE 63 = (Candoia_aspera:0.3903282,(Loxocemus_bicolor:0.248947,(((Python_timoriensis:0.05996622,Python_reticulatus:0.04079137):0.05661379,((Bothrochilus_boa:0.06544201,Liasis_albertisii:0.05598568):0.03264463,((((Antaresia_melanocephalus:0.04274463,Antaresia_ramsayi:0.0229638):0.05227536,(Apodora_papuana:0.05124347,(Liasis_olivaceus:0.032322,(Liasis_mackloti:0.01322112,Liasis_fuscus:0.02499189):0.04084609):0.01081107):0.01437584):0.006629841,(((Morelia_viridisN:0.04032599,Morelia_vi [...]
-    TREE 64 = ((((Python_regius:0.1027857,(Python_curtus:0.09600793,(Python_molurus:0.0279114,Python_sebae:0.06603829):0.02608479):0.02383835):0.05037635,((((Apodora_papuana:0.07130196,((Liasis_mackloti:0.01891925,Liasis_fuscus:0.01624055):0.04795536,Liasis_olivaceus:0.04357267):0.0212919):0.01519329,((Liasis_albertisii:0.05178711,Bothrochilus_boa:0.06173864):0.02414452,(Antaresia_ramsayi:0.04078327,Antaresia_melanocephalus:0.03471582):0.04901001):0.002867909):0.003315471,(Morelia_boelen [...]
-    TREE 65 = (Candoia_aspera:0.4484958,(Loxocemus_bicolor:0.2674019,((((Python_molurus:0.03746116,Python_sebae:0.07876257):0.02255983,Python_curtus:0.09736194):0.009465829,Python_regius:0.1122148):0.04183403,((Python_reticulatus:0.05254427,Python_timoriensis:0.06316221):0.04804532,((((Morelia_oenpelliensis:0.06223055,(Morelia_tracyae:0.03993813,(Morelia_amethistina:0.02235027,((Morelia_clastolepis:0.006880411,Morelia_kinghorni:0.005690263):0.0017908,Morelia_nauta:0.005001931):0.0110807) [...]
-    TREE 66 = (Candoia_aspera:0.4387456,(Loxocemus_bicolor:0.3701941,((((Python_molurus:0.02845826,Python_sebae:0.08506522):0.01248504,Python_curtus:0.1079607):0.02967151,Python_regius:0.09794066):0.04692648,((((((Morelia_oenpelliensis:0.07125908,((((Morelia_kinghorni:0.01128121,Morelia_nauta:0.009803465):0.006153012,Morelia_clastolepis:0.008016785):0.004922659,Morelia_amethistina:0.02570226):0.01632472,Morelia_tracyae:0.03681089):0.02162234):0.004091767,(Morelia_spilota:0.0288998,Moreli [...]
-    TREE 67 = ((Candoia_aspera:0.4404567,Loxocemus_bicolor:0.2623151):0.03678611,((Python_regius:0.1300392,(Python_curtus:0.0849365,(Python_sebae:0.06865021,Python_molurus:0.04067085):0.01983921):0.02301141):0.0359684,((Python_reticulatus:0.05548591,Python_timoriensis:0.07583138):0.06659153,(((Morelia_carinata:0.05407921,(Morelia_viridisN:0.03238534,Morelia_viridisS:0.03823864):0.01875875):0.01477069,(((Antaresia_childreni:0.01916999,Antaresia_stimsoni:0.02019813):0.0427897,Antaresia_per [...]
-    TREE 68 = ((Loxocemus_bicolor:0.275201,(((Python_timoriensis:0.07933547,Python_reticulatus:0.05530097):0.08859932,((Morelia_boeleni:0.0768628,((Morelia_bredli:0.02613436,Morelia_spilota:0.02952909):0.03868299,(Morelia_oenpelliensis:0.05920573,(Morelia_amethistina:0.0122179,((Morelia_nauta:0.005477438,(Morelia_clastolepis:0.01002306,Morelia_kinghorni:0.002926079):0.005503214):0.02905945,Morelia_tracyae:0.02562446):0.01299805):0.05995565):0.002851122):0.02890678):0.01651045,(((((Antare [...]
-    TREE 69 = (Candoia_aspera:0.5069986,((((((((Antaresia_maculosa:0.08576571,((Antaresia_childreni:0.03038096,Antaresia_stimsoni:0.01692226):0.04191162,Antaresia_perthensis:0.06766591):0.01159188):0.00361208,((Morelia_viridisN:0.03718157,Morelia_viridisS:0.05590611):0.01486255,Morelia_carinata:0.08684218):0.01085831):0.01500122,(((Antaresia_ramsayi:0.02557342,Antaresia_melanocephalus:0.04322508):0.05597149,(Apodora_papuana:0.06308859,(Liasis_olivaceus:0.03261355,(Liasis_fuscus:0.0270116 [...]
-    TREE 70 = (Candoia_aspera:0.4122645,(((Python_regius:0.110234,((Python_molurus:0.03231937,Python_sebae:0.07999153):0.006036296,Python_curtus:0.09954285):0.02136783):0.03842027,(((((Liasis_albertisii:0.04708427,Bothrochilus_boa:0.0570808):0.04067184,((Antaresia_ramsayi:0.02902459,Antaresia_melanocephalus:0.03726802):0.04574105,(Apodora_papuana:0.07554033,(Liasis_olivaceus:0.03919017,(Liasis_mackloti:0.01169475,Liasis_fuscus:0.01905053):0.03694819):0.01354151):0.01916572):0.001572765): [...]
-    TREE 71 = (Candoia_aspera:0.4589375,(Loxocemus_bicolor:0.2861174,(((((Antaresia_maculosa:0.07010981,((Antaresia_childreni:0.01826358,Antaresia_stimsoni:0.02200477):0.03110523,Antaresia_perthensis:0.06846857):0.01000272):0.004299263,((Morelia_viridisN:0.03728736,Morelia_viridisS:0.03357402):0.02663172,Morelia_carinata:0.06458395):0.009897064):0.01429599,((Morelia_boeleni:0.07654923,(((Morelia_amethistina:0.02884541,(Morelia_tracyae:0.05910984,((Morelia_clastolepis:0.007296296,Morelia_ [...]
-    TREE 72 = (Candoia_aspera:0.4576079,(((((((((Morelia_amethistina:0.01521725,(Morelia_tracyae:0.05461905,(Morelia_clastolepis:0.003219944,(Morelia_nauta:0.006485679,Morelia_kinghorni:0.007425166):0.001335271):0.03162993):0.009930456):0.04123097,Morelia_oenpelliensis:0.07386276):0.008972008,(Morelia_spilota:0.023071,Morelia_bredli:0.03727896):0.03126727):0.03469699,((Antaresia_maculosa:0.06361313,(Antaresia_perthensis:0.07265412,(Antaresia_stimsoni:0.0111831,Antaresia_childreni:0.02761 [...]
-    TREE 73 = ((Loxocemus_bicolor:0.3119393,((((Python_molurus:0.04448889,Python_sebae:0.06188512):0.0142073,Python_curtus:0.1025871):0.03482844,Python_regius:0.1297599):0.02807402,((Python_reticulatus:0.0707405,Python_timoriensis:0.08769258):0.0480519,((((((Morelia_clastolepis:0.01089226,(Morelia_kinghorni:0.01052386,Morelia_nauta:0.009789005):0.002879246):0.0157598,(Morelia_tracyae:0.02688318,Morelia_amethistina:0.02338759):0.008894687):0.02362956,Morelia_oenpelliensis:0.0695819):0.006 [...]
-    TREE 74 = ((Loxocemus_bicolor:0.2083269,Candoia_aspera:0.5152461):0.04062122,((((((Morelia_bredli:0.02280977,Morelia_spilota:0.02376029):0.03352429,(Morelia_oenpelliensis:0.05724071,((Morelia_tracyae:0.03030344,(Morelia_clastolepis:0.003406181,(Morelia_kinghorni:0.003670556,Morelia_nauta:0.01034161):0.0009901308):0.02356278):0.002815858,Morelia_amethistina:0.0307196):0.04274883):0.00406888):0.01093207,Morelia_boeleni:0.06876127):0.008428241,((Liasis_albertisii:0.03787623,Bothrochilus [...]
-    TREE 75 = ((Loxocemus_bicolor:0.3300245,((((((Morelia_spilota:0.01654569,Morelia_bredli:0.03397926):0.03641578,(Morelia_oenpelliensis:0.0720801,(Morelia_tracyae:0.05217545,(((Morelia_clastolepis:0.005005123,Morelia_kinghorni:0.01336545):0.002474397,Morelia_nauta:0.005135748):0.008917268,Morelia_amethistina:0.02211238):0.0103868):0.03809202):0.005851688):0.01685244,(((Morelia_viridisN:0.03925044,Morelia_viridisS:0.03750531):0.01639746,Morelia_carinata:0.07054688):0.008838584,(((Antare [...]
-    TREE 76 = (((((((((Antaresia_melanocephalus:0.02772176,Antaresia_ramsayi:0.04226773):0.0504747,(Apodora_papuana:0.07093863,((Liasis_mackloti:0.01709142,Liasis_fuscus:0.02330178):0.04618391,Liasis_olivaceus:0.0352755):0.01342014):0.02167455):0.0100165,(Bothrochilus_boa:0.07219773,Liasis_albertisii:0.04785805):0.04234023):0.004860061,((((Morelia_tracyae:0.04624559,(Morelia_amethistina:0.02472913,((Morelia_kinghorni:0.01642213,Morelia_clastolepis:0.009078821):0.003514855,Morelia_nauta:0 [...]
-    TREE 77 = ((Candoia_aspera:0.3502765,Loxocemus_bicolor:0.2724483):0.02964649,((((Python_molurus:0.04580597,Python_sebae:0.0612617):0.01270166,Python_curtus:0.07769046):0.02310792,Python_regius:0.09778553):0.0505763,((Python_reticulatus:0.0510522,Python_timoriensis:0.07707769):0.05952654,((((((Apodora_papuana:0.04280117,Liasis_olivaceus:0.03264188):0.01300365,(Liasis_mackloti:0.008264549,Liasis_fuscus:0.01835877):0.04882774):0.01341318,(Antaresia_ramsayi:0.03582116,Antaresia_melanocep [...]
-    TREE 78 = (Candoia_aspera:0.4818862,(((Python_regius:0.1173105,(Python_curtus:0.09787109,(Python_molurus:0.03613981,Python_sebae:0.08034014):0.02579503):0.01255788):0.03521315,((Python_timoriensis:0.06462919,Python_reticulatus:0.04927181):0.0781527,(((((Morelia_bredli:0.03127313,Morelia_spilota:0.03540732):0.03493716,(Morelia_oenpelliensis:0.05428268,((Morelia_tracyae:0.03980916,(Morelia_nauta:0.002858831,(Morelia_kinghorni:0.01143028,Morelia_clastolepis:0.01019444):0.009460836):0.02 [...]
-    TREE 79 = ((((Python_timoriensis:0.07252546,Python_reticulatus:0.06270089):0.06874345,((((Apodora_papuana:0.08250042,(Liasis_olivaceus:0.04256184,(Liasis_mackloti:0.01543068,Liasis_fuscus:0.01570251):0.05041162):0.01150162):0.01891647,((Antaresia_melanocephalus:0.03158756,Antaresia_ramsayi:0.03251311):0.05107385,(Bothrochilus_boa:0.06030661,Liasis_albertisii:0.04458544):0.03289097):0.003724523):0.007746936,(Morelia_boeleni:0.07578827,((Morelia_spilota:0.02666204,Morelia_bredli:0.0290 [...]
-    TREE 80 = (((((Python_timoriensis:0.07942641,Python_reticulatus:0.05318356):0.0542813,((((((Liasis_mackloti:0.01510409,Liasis_fuscus:0.01776043):0.05075845,(Liasis_olivaceus:0.03951128,Apodora_papuana:0.07083407):0.01755491):0.01728235,(Antaresia_melanocephalus:0.03002391,Antaresia_ramsayi:0.02149549):0.04485914):0.01052883,(Bothrochilus_boa:0.05519856,Liasis_albertisii:0.04763622):0.02797339):0.004472592,Morelia_boeleni:0.08374513):0.005074553,((((Antaresia_perthensis:0.07022127,(An [...]
-    TREE 81 = (Candoia_aspera:0.4667571,(Loxocemus_bicolor:0.3367887,((Python_regius:0.1180484,((Python_molurus:0.03959197,Python_sebae:0.1142895):0.01503196,Python_curtus:0.09833922):0.03611823):0.04569427,(((Morelia_boeleni:0.09325398,(((Antaresia_ramsayi:0.02456999,Antaresia_melanocephalus:0.03700992):0.05498125,(Liasis_albertisii:0.06510315,Bothrochilus_boa:0.06030748):0.02629961):0.007964493,((Liasis_olivaceus:0.03164813,(Liasis_mackloti:0.007046992,Liasis_fuscus:0.01983901):0.05932 [...]
-    TREE 82 = ((((((Python_sebae:0.0645436,Python_molurus:0.03466129):0.01099752,Python_curtus:0.1213218):0.01569256,Python_regius:0.1288854):0.02512009,((((Liasis_albertisii:0.04768349,Bothrochilus_boa:0.06732252):0.02577025,((Apodora_papuana:0.0573615,(Liasis_olivaceus:0.03143039,(Liasis_fuscus:0.01956832,Liasis_mackloti:0.01151569):0.04049188):0.01153908):0.02375811,(Antaresia_ramsayi:0.02867471,Antaresia_melanocephalus:0.03825474):0.0532607):0.007452147):0.005339881,((Morelia_boeleni [...]
-    TREE 83 = (((((Python_timoriensis:0.06385903,Python_reticulatus:0.05887241):0.06039356,(((((Antaresia_ramsayi:0.03291234,Antaresia_melanocephalus:0.04406639):0.0551582,(Apodora_papuana:0.06219194,(Liasis_olivaceus:0.04618287,(Liasis_fuscus:0.01928215,Liasis_mackloti:0.01361912):0.04523828):0.01769705):0.01373734):0.005296261,(Liasis_albertisii:0.04618613,Bothrochilus_boa:0.07393764):0.02720086):0.007912564,((Morelia_carinata:0.07341501,(Morelia_viridisN:0.03939504,Morelia_viridisS:0. [...]
-    TREE 84 = ((Candoia_aspera:0.4302856,Loxocemus_bicolor:0.2106506):0.03081074,(((Python_reticulatus:0.039706,Python_timoriensis:0.06318284):0.06737832,((((Antaresia_ramsayi:0.02993718,Antaresia_melanocephalus:0.0516321):0.03462159,((Liasis_fuscus:0.01909033,Liasis_mackloti:0.01920083):0.03884619,(Apodora_papuana:0.07970396,Liasis_olivaceus:0.0318336):0.0159565):0.02141131):0.01086279,(((Antaresia_perthensis:0.05877012,(Antaresia_childreni:0.02373958,Antaresia_stimsoni:0.01345116):0.03 [...]
-    TREE 85 = ((Loxocemus_bicolor:0.2534505,(((((Morelia_carinata:0.07389122,(Morelia_viridisN:0.03609381,Morelia_viridisS:0.05675261):0.01821106):0.01076806,(((Antaresia_stimsoni:0.01256993,Antaresia_childreni:0.02450923):0.02974669,Antaresia_perthensis:0.05764076):0.02295225,Antaresia_maculosa:0.07677902):0.008637588):0.01786285,((Morelia_boeleni:0.07562694,(((Bothrochilus_boa:0.06376279,Liasis_albertisii:0.04877791):0.03468829,(Antaresia_melanocephalus:0.04365131,Antaresia_ramsayi:0.0 [...]
-    TREE 86 = (Candoia_aspera:0.4432525,(((Python_regius:0.1388916,((Python_sebae:0.08554284,Python_molurus:0.05720035):0.009684637,Python_curtus:0.08433645):0.01174155):0.02783744,((((((Morelia_bredli:0.02386123,Morelia_spilota:0.02840604):0.03818062,(Morelia_oenpelliensis:0.05193934,(Morelia_amethistina:0.01753699,(((Morelia_nauta:0.006926759,Morelia_kinghorni:0.005577224):0.001173386,Morelia_clastolepis:0.004074834):0.02082514,Morelia_tracyae:0.05079507):0.004276661):0.04497917):0.008 [...]
-    TREE 87 = ((((((Python_molurus:0.03328051,Python_sebae:0.08260708):0.02277176,Python_curtus:0.09369442):0.01362622,Python_regius:0.1144538):0.04157068,((Python_reticulatus:0.0659659,Python_timoriensis:0.05748917):0.05766686,((((Morelia_spilota:0.02944967,Morelia_bredli:0.02243377):0.03036736,(Morelia_oenpelliensis:0.05862991,((Morelia_amethistina:0.02044603,(Morelia_clastolepis:0.00667788,(Morelia_kinghorni:0.002341999,Morelia_nauta:0.004724123):0.001102001):0.01914452):0.006570517,M [...]
-    TREE 88 = ((Candoia_aspera:0.4541513,Loxocemus_bicolor:0.2958392):0.07081872,(((Python_timoriensis:0.05908032,Python_reticulatus:0.06230935):0.05923604,(((Morelia_carinata:0.059557,(Morelia_viridisN:0.0430535,Morelia_viridisS:0.04451561):0.02637773):0.01378714,(Antaresia_maculosa:0.06826855,((Antaresia_stimsoni:0.01615772,Antaresia_childreni:0.02120395):0.03420147,Antaresia_perthensis:0.06973437):0.02609569):0.003154777):0.02419757,((Morelia_boeleni:0.0936062,((Morelia_oenpelliensis: [...]
-    TREE 89 = ((Loxocemus_bicolor:0.2715632,((Python_regius:0.105666,(Python_curtus:0.08820886,(Python_molurus:0.0289014,Python_sebae:0.08313008):0.01341111):0.02700934):0.0537633,((Python_timoriensis:0.06336319,Python_reticulatus:0.06893482):0.0668129,(((Morelia_carinata:0.05800344,(Morelia_viridisN:0.03450113,Morelia_viridisS:0.04273127):0.02064897):0.01309781,(Antaresia_maculosa:0.07388802,(Antaresia_perthensis:0.06515081,(Antaresia_stimsoni:0.01508704,Antaresia_childreni:0.02555118): [...]
-    TREE 90 = (Candoia_aspera:0.4139069,(((Python_regius:0.1113714,(Python_curtus:0.1046913,(Python_molurus:0.03657293,Python_sebae:0.06993362):0.02487479):0.0164626):0.04311928,((Python_reticulatus:0.06430189,Python_timoriensis:0.06051875):0.0693176,((Morelia_boeleni:0.08663333,((Morelia_spilota:0.03083786,Morelia_bredli:0.0240764):0.03537649,(Morelia_oenpelliensis:0.06986482,((((Morelia_nauta:0.01074089,Morelia_kinghorni:0.006973603):0.003692685,Morelia_clastolepis:0.002062225):0.01547 [...]
-    TREE 91 = ((Loxocemus_bicolor:0.3083324,((((Morelia_boeleni:0.09668887,((Liasis_albertisii:0.05250439,Bothrochilus_boa:0.06016687):0.03512285,((Morelia_oenpelliensis:0.05748413,(Morelia_tracyae:0.0477756,((Morelia_nauta:0.007311925,(Morelia_kinghorni:0.005988491,Morelia_clastolepis:0.003411513):0.004753291):0.02241144,Morelia_amethistina:0.02106282):0.006562451):0.03868782):0.01022867,(Morelia_spilota:0.02908629,Morelia_bredli:0.02807888):0.02736293):0.02072108):0.007550236):0.004824 [...]
-    TREE 92 = (Candoia_aspera:0.4281057,((((Python_timoriensis:0.08823408,Python_reticulatus:0.05737884):0.06100876,(((Bothrochilus_boa:0.07126329,Liasis_albertisii:0.04201895):0.03675228,((Antaresia_melanocephalus:0.04236584,Antaresia_ramsayi:0.03108991):0.04881623,((Liasis_mackloti:0.01787838,Liasis_fuscus:0.01928909):0.04546609,(Liasis_olivaceus:0.05017097,Apodora_papuana:0.06242772):0.00707014):0.01689589):0.01717237):0.003562895,((Morelia_boeleni:0.09789998,((Morelia_oenpelliensis:0 [...]
-    TREE 93 = ((((Python_regius:0.1131232,((Python_molurus:0.05168396,Python_sebae:0.08173496):0.02146037,Python_curtus:0.1083859):0.01259181):0.0382401,(((((Morelia_carinata:0.07151188,(Morelia_viridisN:0.03574948,Morelia_viridisS:0.06082342):0.02895885):0.01261191,((Antaresia_perthensis:0.06404546,(Antaresia_stimsoni:0.01594511,Antaresia_childreni:0.02247536):0.02246347):0.006851028,Antaresia_maculosa:0.0730325):0.01006378):0.02929077,(((Apodora_papuana:0.05937471,Liasis_olivaceus:0.03 [...]
-    TREE 94 = (((Python_regius:0.1239454,((Python_molurus:0.03482248,Python_sebae:0.07534156):0.00995777,Python_curtus:0.09774541):0.04014603):0.01570374,(((Morelia_boeleni:0.08858978,((((Antaresia_ramsayi:0.0206568,Antaresia_melanocephalus:0.04666388):0.04498903,(Apodora_papuana:0.05813629,(Liasis_olivaceus:0.05170553,(Liasis_fuscus:0.02074332,Liasis_mackloti:0.01562806):0.04108401):0.00829329):0.0165318):0.005684696,(Liasis_albertisii:0.05068824,Bothrochilus_boa:0.06321412):0.03784581) [...]
-    TREE 95 = ((((((((Antaresia_ramsayi:0.02667422,Antaresia_melanocephalus:0.04534988):0.05253592,(Apodora_papuana:0.07194987,(Liasis_olivaceus:0.04129446,(Liasis_mackloti:0.02126345,Liasis_fuscus:0.02281094):0.05439975):0.01019772):0.007377441):0.0114808,(((Morelia_viridisS:0.03858762,Morelia_viridisN:0.04247917):0.02657865,Morelia_carinata:0.08634983):0.01532563,((Antaresia_perthensis:0.07156371,(Antaresia_stimsoni:0.02213176,Antaresia_childreni:0.01944844):0.03966154):0.008415598,Ant [...]
-    TREE 96 = ((Loxocemus_bicolor:0.2807967,(((Python_timoriensis:0.06910729,Python_reticulatus:0.05372697):0.07638634,((((Morelia_viridisN:0.02707026,Morelia_viridisS:0.04347542):0.02229195,Morelia_carinata:0.05926867):0.01329909,(Antaresia_maculosa:0.04804866,((Antaresia_stimsoni:0.0148235,Antaresia_childreni:0.02618698):0.03229745,Antaresia_perthensis:0.06685734):0.003997152):0.01381649):0.01124514,((((((Morelia_tracyae:0.04246949,(((Morelia_nauta:0.005484603,Morelia_kinghorni:0.01044 [...]
-    TREE 97 = (Candoia_aspera:0.5039896,(Loxocemus_bicolor:0.2850881,((((Python_sebae:0.08938354,Python_molurus:0.03446374):0.01632282,Python_curtus:0.1258863):0.02531511,Python_regius:0.1176712):0.04925833,((((((Antaresia_ramsayi:0.03828439,Antaresia_melanocephalus:0.03645482):0.04680986,(((Liasis_fuscus:0.02699014,Liasis_mackloti:0.008925802):0.04733224,Liasis_olivaceus:0.03373177):0.01716661,Apodora_papuana:0.05578779):0.01661917):0.001369567,(Liasis_albertisii:0.05880192,Bothrochilus [...]
-    TREE 98 = (Candoia_aspera:0.3960502,(((Python_regius:0.1248549,(Python_curtus:0.09506814,(Python_sebae:0.07827634,Python_molurus:0.03632028):0.01662299):0.02602335):0.05087225,((Python_reticulatus:0.0549807,Python_timoriensis:0.06575509):0.04986447,((((Antaresia_perthensis:0.05946804,(Antaresia_childreni:0.02254218,Antaresia_stimsoni:0.02131714):0.03895009):0.01473793,Antaresia_maculosa:0.07138852):0.004917744,(Morelia_carinata:0.06986168,(Morelia_viridisN:0.03186693,Morelia_viridisS [...]
-    TREE 99 = (((((Morelia_boeleni:0.09666952,((Morelia_bredli:0.02487562,Morelia_spilota:0.01972983):0.02472607,(Morelia_oenpelliensis:0.05818019,(Morelia_tracyae:0.04529842,((Morelia_nauta:0.001550672,(Morelia_clastolepis:0.00699391,Morelia_kinghorni:0.008062495):0.007728304):0.01843411,Morelia_amethistina:0.02151424):0.006970344):0.04507299):0.008188663):0.02156805):0.002725827,((((((Liasis_fuscus:0.02915797,Liasis_mackloti:0.01101938):0.05756546,Liasis_olivaceus:0.04796678):0.0169581 [...]
-    TREE 100 = ((Loxocemus_bicolor:0.2671658,(((Python_curtus:0.1129476,(Python_molurus:0.04232295,Python_sebae:0.06584234):0.02744495):0.01460987,Python_regius:0.1067747):0.04485947,((((((Morelia_spilota:0.03627458,Morelia_bredli:0.02800939):0.03362723,((Morelia_tracyae:0.05576232,(((Morelia_kinghorni:0.00559587,Morelia_nauta:0.009946386):0.003195788,Morelia_clastolepis:0.003350075):0.01567562,Morelia_amethistina:0.02654552):0.005885569):0.02131979,Morelia_oenpelliensis:0.06271031):0.00 [...]
-    TREE 101 = ((Loxocemus_bicolor:0.3169261,((Python_regius:0.1401556,(Python_curtus:0.08796553,(Python_molurus:0.04991819,Python_sebae:0.08324849):0.02384237):0.01601799):0.04009144,((((((Morelia_tracyae:0.04670118,((Morelia_clastolepis:0.003713301,(Morelia_kinghorni:0.01206751,Morelia_nauta:0.01282358):0.01047532):0.0141348,Morelia_amethistina:0.01978401):0.006927226):0.02565125,Morelia_oenpelliensis:0.05165965):0.007390497,(Morelia_spilota:0.02417998,Morelia_bredli:0.03266626):0.0360 [...]
-    TREE 11 = ((((Python_regius:0.1027942,(Python_curtus:0.1093195,(Python_molurus:0.03616785,Python_sebae:0.09714906):0.01900329):0.008746833):0.03480031,((Python_timoriensis:0.05888493,Python_reticulatus:0.05249643):0.06859351,((Liasis_albertisii:0.04248073,Bothrochilus_boa:0.08031133):0.03398111,((Morelia_boeleni:0.07999314,((((Liasis_fuscus:0.01725487,Liasis_mackloti:0.01089339):0.05703001,(Liasis_olivaceus:0.0302746,Apodora_papuana:0.05585387):0.01099982):0.01251347,(Antaresia_melan [...]
-    TREE 12 = ((Loxocemus_bicolor:0.200797,Candoia_aspera:0.4791858):0.02924977,(((Python_timoriensis:0.07453055,Python_reticulatus:0.05007415):0.04164017,((Morelia_boeleni:0.08686082,(((Morelia_tracyae:0.02808619,(Morelia_amethistina:0.02303181,((Morelia_kinghorni:0.01274665,Morelia_nauta:0.009048873):0.001590683,Morelia_clastolepis:0.006054381):0.01882585):0.01332885):0.03223371,Morelia_oenpelliensis:0.05694572):0.002731064,(Morelia_bredli:0.02672501,Morelia_spilota:0.0225727):0.026789 [...]
-    TREE 13 = (Candoia_aspera:0.4273618,(((((((Bothrochilus_boa:0.05415261,Liasis_albertisii:0.06038956):0.0360089,((Antaresia_melanocephalus:0.03041821,Antaresia_ramsayi:0.0331126):0.05873344,((Liasis_fuscus:0.0184059,Liasis_mackloti:0.01465728):0.04310984,(Apodora_papuana:0.05418494,Liasis_olivaceus:0.03883886):0.016399):0.01873951):0.009908615):0.005950868,(Morelia_boeleni:0.09917271,((Morelia_bredli:0.02846252,Morelia_spilota:0.02458112):0.0365903,(((Morelia_tracyae:0.03813979,(Morel [...]
-    TREE 14 = ((Loxocemus_bicolor:0.2478028,((((((Antaresia_ramsayi:0.03367224,Antaresia_melanocephalus:0.03609129):0.04704844,((Apodora_papuana:0.05697895,Liasis_olivaceus:0.03303652):0.003571652,(Liasis_fuscus:0.02007346,Liasis_mackloti:0.008729213):0.04390847):0.02024927):0.005893421,((Liasis_albertisii:0.05713446,Bothrochilus_boa:0.06403746):0.02788034,(Morelia_boeleni:0.07313066,((Morelia_spilota:0.03214009,Morelia_bredli:0.02508033):0.02692491,((((Morelia_clastolepis:0.001813014,(M [...]
-    TREE 15 = (Candoia_aspera:0.4192863,(Loxocemus_bicolor:0.2798413,(((((((Antaresia_stimsoni:0.01329395,Antaresia_childreni:0.02283497):0.03790398,Antaresia_perthensis:0.07216747):0.008864959,Antaresia_maculosa:0.06182634):0.009885569,((Morelia_viridisN:0.034578,Morelia_viridisS:0.04693376):0.01679416,Morelia_carinata:0.04904747):0.01559752):0.01005754,((Morelia_boeleni:0.07412517,(((Morelia_tracyae:0.02896581,(Morelia_amethistina:0.03479837,((Morelia_nauta:0.0063588,Morelia_kinghorni: [...]
-    TREE 16 = (Candoia_aspera:0.5004037,(Loxocemus_bicolor:0.2686312,((Python_regius:0.1227537,((Python_molurus:0.02929629,Python_sebae:0.07680908):0.01567275,Python_curtus:0.1201353):0.02038343):0.03700993,((Python_timoriensis:0.05402337,Python_reticulatus:0.06266955):0.0723655,(((Antaresia_maculosa:0.0824284,((Antaresia_childreni:0.02716977,Antaresia_stimsoni:0.01773016):0.03547345,Antaresia_perthensis:0.081437):0.0118044):0.01428121,(Morelia_carinata:0.06047333,(Morelia_viridisS:0.053 [...]
-    TREE 17 = (Candoia_aspera:0.3860517,(Loxocemus_bicolor:0.2262186,((Python_regius:0.108871,(Python_curtus:0.07047174,(Python_molurus:0.03462239,Python_sebae:0.07665672):0.009287629):0.01072433):0.04514998,((Python_timoriensis:0.0838981,Python_reticulatus:0.05669912):0.05609795,((((((Morelia_tracyae:0.03987745,((Morelia_clastolepis:0.007140712,(Morelia_nauta:0.01100948,Morelia_kinghorni:0.007874271):0.002130305):0.00610072,Morelia_amethistina:0.02963331):0.01019719):0.0334844,Morelia_o [...]
-    TREE 18 = ((Loxocemus_bicolor:0.2877769,((Python_regius:0.1397491,((Python_sebae:0.08341701,Python_molurus:0.031548):0.02842307,Python_curtus:0.1021217):0.0152687):0.05564439,((Python_timoriensis:0.06025919,Python_reticulatus:0.06209771):0.06208062,((Morelia_boeleni:0.07254053,((Morelia_spilota:0.0292054,Morelia_bredli:0.02617089):0.04941909,((Morelia_tracyae:0.04522253,(((Morelia_kinghorni:0.01142549,Morelia_clastolepis:0.01216984):0.007288991,Morelia_nauta:0.0008988171):0.01149753, [...]
-    TREE 19 = (Candoia_aspera:0.4315535,(((Python_regius:0.1083479,(Python_curtus:0.1078002,(Python_molurus:0.06315571,Python_sebae:0.07304212):0.03146347):0.02541859):0.05393959,((Python_timoriensis:0.0555151,Python_reticulatus:0.07256859):0.06332415,((((((Antaresia_childreni:0.02090179,Antaresia_stimsoni:0.02001766):0.03533676,Antaresia_perthensis:0.0606145):0.01254612,Antaresia_maculosa:0.06593747):0.007542348,(Morelia_carinata:0.06172531,(Morelia_viridisS:0.04635308,Morelia_viridisN: [...]
-    TREE 20 = ((Loxocemus_bicolor:0.3155324,((Python_regius:0.1228927,(Python_curtus:0.1097628,(Python_molurus:0.03835939,Python_sebae:0.07668466):0.008325477):0.01460641):0.06564612,((Python_timoriensis:0.07856463,Python_reticulatus:0.05958525):0.05230699,(Morelia_boeleni:0.06775803,(((Liasis_albertisii:0.0645956,Bothrochilus_boa:0.06127537):0.02999912,((Antaresia_ramsayi:0.0288452,Antaresia_melanocephalus:0.04084328):0.04550624,(((Liasis_fuscus:0.01444571,Liasis_mackloti:0.01290266):0. [...]
-    TREE 21 = (Candoia_aspera:0.4216067,(Loxocemus_bicolor:0.2956747,(((Python_curtus:0.08918839,(Python_molurus:0.05216853,Python_sebae:0.07150718):0.01801873):0.01726334,Python_regius:0.1668874):0.04387736,((Python_timoriensis:0.07135985,Python_reticulatus:0.05553729):0.06714049,(((Morelia_carinata:0.05402521,(Morelia_viridisS:0.04267584,Morelia_viridisN:0.03901156):0.01898352):0.01712506,(((Antaresia_childreni:0.02684644,Antaresia_stimsoni:0.01368649):0.04100616,Antaresia_perthensis:0 [...]
-    TREE 22 = ((Loxocemus_bicolor:0.2416069,((Python_regius:0.1243658,((Python_molurus:0.02672784,Python_sebae:0.07747051):0.01978814,Python_curtus:0.09906979):0.01446203):0.03923037,((Python_timoriensis:0.07259966,Python_reticulatus:0.05987173):0.06120053,(((Liasis_albertisii:0.0463971,Bothrochilus_boa:0.06180745):0.03566932,((Apodora_papuana:0.0726456,(Liasis_olivaceus:0.04192667,(Liasis_fuscus:0.02242715,Liasis_mackloti:0.01043229):0.04170356):0.01561047):0.01366414,(Antaresia_ramsayi [...]
-    TREE 23 = (((((Python_timoriensis:0.08258052,Python_reticulatus:0.05853735):0.08288238,(((((Morelia_viridisN:0.03066907,Morelia_viridisS:0.05095432):0.01767479,Morelia_carinata:0.07342125):0.01474768,(((Antaresia_stimsoni:0.01833412,Antaresia_childreni:0.02854834):0.0462008,Antaresia_perthensis:0.0652752):0.01291676,Antaresia_maculosa:0.08806668):0.007344264):0.02173363,((Antaresia_ramsayi:0.03082787,Antaresia_melanocephalus:0.04706824):0.05208642,((Liasis_olivaceus:0.04073541,(Liasi [...]
-    TREE 24 = (((Python_regius:0.1417174,(Python_curtus:0.110082,(Python_molurus:0.02637725,Python_sebae:0.07899893):0.01286143):0.01916527):0.06151694,((((((Liasis_fuscus:0.0178239,Liasis_mackloti:0.01868649):0.05704714,(Apodora_papuana:0.05741915,Liasis_olivaceus:0.0337298):0.01104941):0.01689001,(Antaresia_melanocephalus:0.03924603,Antaresia_ramsayi:0.03206718):0.06916624):0.004846253,(Liasis_albertisii:0.0753159,Bothrochilus_boa:0.07176204):0.03006251):0.00922749,(((Antaresia_maculos [...]
-    TREE 25 = (Candoia_aspera:0.3524799,((((Python_timoriensis:0.0740242,Python_reticulatus:0.05492826):0.06151397,(((Antaresia_maculosa:0.05970249,((Antaresia_stimsoni:0.01580222,Antaresia_childreni:0.03054988):0.03668299,Antaresia_perthensis:0.07063788):0.0183855):0.00864595,((Morelia_viridisN:0.03323697,Morelia_viridisS:0.05418915):0.02468022,Morelia_carinata:0.06302397):0.01568301):0.03371229,(((Liasis_albertisii:0.059584,Bothrochilus_boa:0.05887819):0.03012165,((Antaresia_ramsayi:0. [...]
-    TREE 26 = (((((Python_curtus:0.08556007,(Python_sebae:0.06193187,Python_molurus:0.04968326):0.005435923):0.01851413,Python_regius:0.1277156):0.04573327,((((Bothrochilus_boa:0.06112235,Liasis_albertisii:0.0591258):0.03619068,(Morelia_boeleni:0.06807541,((Morelia_oenpelliensis:0.0523391,(Morelia_tracyae:0.03849492,(Morelia_amethistina:0.01932389,(Morelia_clastolepis:0.006375849,(Morelia_nauta:0.005909729,Morelia_kinghorni:0.008158058):0.003842392):0.01774768):0.002145456):0.0269855):0. [...]
-    TREE 27 = ((Loxocemus_bicolor:0.2745395,((((Python_molurus:0.05626972,Python_sebae:0.07311616):0.02361951,Python_curtus:0.07978493):0.01955288,Python_regius:0.119671):0.0317135,(((((((Morelia_viridisN:0.03676345,Morelia_viridisS:0.03966575):0.03629429,Morelia_carinata:0.04791429):0.01092544,((Antaresia_perthensis:0.06241723,(Antaresia_stimsoni:0.01352217,Antaresia_childreni:0.02220556):0.03658676):0.01352575,Antaresia_maculosa:0.06451497):0.01398111):0.01464195,(((Liasis_olivaceus:0. [...]
-    TREE 28 = ((((Python_curtus:0.1009424,(Python_sebae:0.07073727,Python_molurus:0.0458842):0.01611277):0.02137165,Python_regius:0.1032613):0.05541138,(((((Morelia_bredli:0.02912984,Morelia_spilota:0.02397348):0.02903979,(Morelia_oenpelliensis:0.04869417,(Morelia_tracyae:0.02929244,((Morelia_clastolepis:0.006308689,(Morelia_kinghorni:0.007352282,Morelia_nauta:0.003787058):0.004816204):0.01431019,Morelia_amethistina:0.02075164):0.009746208):0.03313488):0.007625648):0.02159451,Morelia_boe [...]
-    TREE 29 = (Candoia_aspera:0.3987203,((((Python_timoriensis:0.07231611,Python_reticulatus:0.06693656):0.07092691,((((Antaresia_ramsayi:0.02601053,Antaresia_melanocephalus:0.03847052):0.04431386,((Liasis_olivaceus:0.03460486,Apodora_papuana:0.05290077):0.009100054,(Liasis_fuscus:0.01768649,Liasis_mackloti:0.01600562):0.04353961):0.01585652):0.01486235,(Liasis_albertisii:0.04911192,Bothrochilus_boa:0.05631675):0.03876376):0.0004149582,((((Morelia_oenpelliensis:0.04973058,(Morelia_tracya [...]
-    TREE 30 = (Candoia_aspera:0.4868755,(((Python_regius:0.1221145,((Python_molurus:0.05019593,Python_sebae:0.07748772):0.01368855,Python_curtus:0.1141123):0.01987758):0.04155347,((Python_timoriensis:0.07494973,Python_reticulatus:0.05862679):0.06559235,(((Morelia_oenpelliensis:0.05175119,(Morelia_tracyae:0.04466695,(Morelia_amethistina:0.0192166,(Morelia_clastolepis:0.005236865,(Morelia_kinghorni:0.009909338,Morelia_nauta:0.01748069):0.002925145):0.01592512):0.01615313):0.03149762):0.005 [...]
-    TREE 31 = ((((Python_regius:0.127571,((Python_sebae:0.08733474,Python_molurus:0.02636416):0.01988984,Python_curtus:0.08227164):0.0179738):0.04350246,((((((Morelia_carinata:0.06880104,(Morelia_viridisN:0.03915972,Morelia_viridisS:0.05202187):0.02713937):0.00535652,(Antaresia_maculosa:0.07387812,(Antaresia_perthensis:0.06075918,(Antaresia_stimsoni:0.01861873,Antaresia_childreni:0.01600216):0.03189661):0.01853196):0.006632877):0.01217124,((Antaresia_melanocephalus:0.0414989,Antaresia_ra [...]
-    TREE 32 = ((Loxocemus_bicolor:0.2606271,((((Python_sebae:0.0818305,Python_molurus:0.02727312):0.01367413,Python_curtus:0.08714736):0.02175664,Python_regius:0.1020426):0.07583032,(((((Morelia_carinata:0.05255298,(Morelia_viridisN:0.02892482,Morelia_viridisS:0.05407292):0.03711387):0.01244001,((Antaresia_perthensis:0.06543078,(Antaresia_stimsoni:0.02282742,Antaresia_childreni:0.02338983):0.0390911):0.008210593,Antaresia_maculosa:0.07095299):0.007290989):0.01250111,((Bothrochilus_boa:0. [...]
-    TREE 33 = (Candoia_aspera:0.3709596,(Loxocemus_bicolor:0.3007952,((Python_regius:0.1199573,(Python_curtus:0.1072403,(Python_molurus:0.03916451,Python_sebae:0.07200862):0.01487179):0.02108596):0.02065243,((Python_timoriensis:0.0774226,Python_reticulatus:0.05885978):0.06575871,((((Liasis_albertisii:0.06312153,Bothrochilus_boa:0.0504203):0.03711298,((((Liasis_fuscus:0.02797756,Liasis_mackloti:0.01218298):0.0538399,Liasis_olivaceus:0.04082057):0.01243284,Apodora_papuana:0.05917395):0.012 [...]
-    TREE 34 = ((Loxocemus_bicolor:0.3328977,(((Python_timoriensis:0.05424232,Python_reticulatus:0.06088091):0.0443408,(((((Morelia_bredli:0.03127133,Morelia_spilota:0.01963772):0.02802323,(Morelia_oenpelliensis:0.06068657,(((Morelia_clastolepis:0.003184588,(Morelia_nauta:0.008600695,Morelia_kinghorni:0.005238384):0.00852199):0.00685194,Morelia_amethistina:0.01906498):0.01556873,Morelia_tracyae:0.01951623):0.03165511):0.007153062):0.0306723,Morelia_boeleni:0.08086277):0.00606816,(((Antare [...]
-    TREE 35 = (((((((((Antaresia_perthensis:0.076839,(Antaresia_stimsoni:0.01678085,Antaresia_childreni:0.02946878):0.03759226):0.01176085,Antaresia_maculosa:0.06572966):0.005717706,(Morelia_carinata:0.05542747,(Morelia_viridisN:0.03474877,Morelia_viridisS:0.04205535):0.03438249):0.01795039):0.02082926,((Apodora_papuana:0.05639444,(Liasis_olivaceus:0.02437619,(Liasis_fuscus:0.02117262,Liasis_mackloti:0.007070453):0.04439346):0.0134516):0.01207259,((Antaresia_ramsayi:0.02854236,Antaresia_ [...]
-    TREE 36 = ((Loxocemus_bicolor:0.2483509,Candoia_aspera:0.4492172):0.06859066,((Python_regius:0.1255389,((Python_molurus:0.03130493,Python_sebae:0.0745412):0.01865452,Python_curtus:0.1036943):0.01279912):0.01985159,((((((Morelia_carinata:0.08370114,(Morelia_viridisS:0.04985579,Morelia_viridisN:0.03327157):0.03830219):0.008672443,(Antaresia_maculosa:0.0623934,((Antaresia_childreni:0.02799178,Antaresia_stimsoni:0.02148532):0.03666041,Antaresia_perthensis:0.07446277):0.01086222):0.020943 [...]
-    TREE 37 = (Candoia_aspera:0.4166711,((((Python_curtus:0.09816914,(Python_sebae:0.08240094,Python_molurus:0.05226293):0.01456777):0.01641748,Python_regius:0.137197):0.05957615,((Morelia_boeleni:0.08765504,((((Morelia_bredli:0.03444947,Morelia_spilota:0.02775664):0.02601056,(Morelia_amethistina:0.02924364,(Morelia_tracyae:0.03584065,((Morelia_nauta:0.01115885,Morelia_kinghorni:0.01021469):0.003210438,Morelia_clastolepis:0.006594632):0.03294197):0.001463494):0.03494781):0.002309134,More [...]
-    TREE 38 = (Candoia_aspera:0.4315115,(Loxocemus_bicolor:0.2596803,((((((Morelia_bredli:0.02230078,Morelia_spilota:0.02205087):0.03955585,(Morelia_oenpelliensis:0.05115782,(((Morelia_clastolepis:0.008149148,(Morelia_nauta:0.002970811,Morelia_kinghorni:0.006429062):0.002749328):0.00566445,Morelia_amethistina:0.01508516):0.01228169,Morelia_tracyae:0.03545761):0.03108932):0.005038192):0.02099316,((((Antaresia_melanocephalus:0.04737015,Antaresia_ramsayi:0.02937167):0.04575993,(Apodora_papu [...]
-    TREE 39 = ((Loxocemus_bicolor:0.2923877,((Python_regius:0.1073602,(Python_curtus:0.08588581,(Python_molurus:0.04365642,Python_sebae:0.07138998):0.01973334):0.03022542):0.04769119,((Python_timoriensis:0.05422595,Python_reticulatus:0.05878151):0.05748568,((Morelia_boeleni:0.07541993,((Morelia_spilota:0.02019428,Morelia_bredli:0.04109098):0.0378947,(Morelia_oenpelliensis:0.06183072,(Morelia_tracyae:0.03545849,(((Morelia_clastolepis:0.004731276,Morelia_kinghorni:0.005092597):0.0005185752 [...]
-    TREE 40 = ((Candoia_aspera:0.4156428,Loxocemus_bicolor:0.2269911):0.04826334,(((((((Antaresia_maculosa:0.07407624,(Antaresia_perthensis:0.05331123,(Antaresia_stimsoni:0.01391683,Antaresia_childreni:0.02353525):0.03288148):0.01385114):0.004249709,(Morelia_carinata:0.06564797,(Morelia_viridisN:0.04468362,Morelia_viridisS:0.0520571):0.02200155):0.008594821):0.01366193,((Antaresia_melanocephalus:0.04277621,Antaresia_ramsayi:0.02779418):0.04118139,((Liasis_olivaceus:0.04348896,Apodora_pap [...]
-    TREE 41 = (Candoia_aspera:0.3566623,(((((Python_sebae:0.07282374,Python_molurus:0.02476629):0.02705769,Python_curtus:0.09737761):0.01517889,Python_regius:0.1214553):0.02036528,((Python_timoriensis:0.06640685,Python_reticulatus:0.04522264):0.07405751,(((Morelia_boeleni:0.08328095,((Morelia_bredli:0.03283461,Morelia_spilota:0.01994478):0.03109293,(((Morelia_tracyae:0.03936545,Morelia_amethistina:0.03400436):0.004093362,((Morelia_kinghorni:0.004637601,Morelia_nauta:0.008610755):0.005974 [...]
-    TREE 42 = ((Loxocemus_bicolor:0.3158634,(((Python_timoriensis:0.0693274,Python_reticulatus:0.04754045):0.05546853,(((Bothrochilus_boa:0.06050538,Liasis_albertisii:0.0566936):0.03382026,((Antaresia_melanocephalus:0.04823754,Antaresia_ramsayi:0.03184894):0.04372982,((Liasis_olivaceus:0.04662664,Apodora_papuana:0.07828025):0.003462852,(Liasis_fuscus:0.02185453,Liasis_mackloti:0.009381108):0.04740364):0.02318003):0.004541615):0.004595739,((((Morelia_viridisN:0.03471745,Morelia_viridisS:0 [...]
-    TREE 43 = (Candoia_aspera:0.4779116,(Loxocemus_bicolor:0.3169837,(((((Liasis_albertisii:0.0474626,Bothrochilus_boa:0.0594194):0.03660165,(((Antaresia_melanocephalus:0.04410004,Antaresia_ramsayi:0.02017723):0.05126644,(Apodora_papuana:0.05914869,(Liasis_olivaceus:0.05195717,(Liasis_fuscus:0.02399651,Liasis_mackloti:0.007262315):0.04950535):0.01042366):0.01214327):0.01340623,(((Morelia_bredli:0.03687476,Morelia_spilota:0.03293356):0.02977614,((Morelia_tracyae:0.04761735,(Morelia_amethi [...]
-    TREE 44 = (Candoia_aspera:0.3818913,(Loxocemus_bicolor:0.2384072,(((((Morelia_carinata:0.05838946,(Morelia_viridisN:0.02674,Morelia_viridisS:0.04088508):0.02908822):0.01411169,(Antaresia_maculosa:0.0580162,((Antaresia_stimsoni:0.01965443,Antaresia_childreni:0.02601986):0.04652883,Antaresia_perthensis:0.07484478):0.01135406):0.008163954):0.01560239,((((Apodora_papuana:0.05828467,(Liasis_olivaceus:0.0320515,(Liasis_fuscus:0.0194024,Liasis_mackloti:0.009507815):0.04213784):0.01011161):0 [...]
-    TREE 45 = (Candoia_aspera:0.4749727,(Loxocemus_bicolor:0.2909081,(((((Liasis_albertisii:0.05014584,Bothrochilus_boa:0.05870229):0.03693661,((Antaresia_melanocephalus:0.04437313,Antaresia_ramsayi:0.02662717):0.04252003,(Apodora_papuana:0.05208564,(Liasis_olivaceus:0.04891133,(Liasis_fuscus:0.02040686,Liasis_mackloti:0.01262133):0.05273751):0.01025606):0.02029362):0.007923826):0.0124865,(((Morelia_carinata:0.0634373,(Morelia_viridisN:0.03721233,Morelia_viridisS:0.0516408):0.02993211):0 [...]
-    TREE 46 = (Candoia_aspera:0.5167322,((((Python_timoriensis:0.06709443,Python_reticulatus:0.06793708):0.07640251,(((Bothrochilus_boa:0.0713485,Liasis_albertisii:0.04180947):0.03760496,(((Antaresia_maculosa:0.08028006,((Antaresia_stimsoni:0.01299851,Antaresia_childreni:0.02807306):0.04246189,Antaresia_perthensis:0.07026985):0.01391976):0.0195585,((Morelia_viridisN:0.03546905,Morelia_viridisS:0.0645878):0.04086846,Morelia_carinata:0.06635054):0.009228577):0.01671697,((Antaresia_melanoce [...]
-    TREE 47 = ((Loxocemus_bicolor:0.243761,((Python_regius:0.1256326,((Python_sebae:0.07759863,Python_molurus:0.03319403):0.02745888,Python_curtus:0.1036193):0.01886196):0.04526608,((Python_timoriensis:0.07885125,Python_reticulatus:0.04078674):0.06705376,(((Morelia_boeleni:0.07244095,((((Morelia_amethistina:0.02612452,((Morelia_nauta:0.005952378,Morelia_kinghorni:0.01197636):0.003538517,Morelia_clastolepis:0.01001071):0.01796709):0.009481718,Morelia_tracyae:0.03859101):0.03004094,Morelia [...]
-    TREE 48 = (Candoia_aspera:0.4623149,(Loxocemus_bicolor:0.2848758,(((Python_timoriensis:0.08529002,Python_reticulatus:0.06117518):0.05230377,((((Liasis_albertisii:0.05560586,Bothrochilus_boa:0.05213018):0.03215789,(Antaresia_ramsayi:0.03804862,Antaresia_melanocephalus:0.04693488):0.04454437):0.007747695,(Apodora_papuana:0.05693809,(Liasis_olivaceus:0.03222194,(Liasis_fuscus:0.0141549,Liasis_mackloti:0.01803922):0.06031693):0.008449162):0.01240927):0.008461036,((Morelia_boeleni:0.07705 [...]
-    TREE 49 = ((((((Python_molurus:0.02966201,Python_sebae:0.07929907):0.02351445,Python_curtus:0.089452):0.02699706,Python_regius:0.1383436):0.04680606,((((((Bothrochilus_boa:0.05036822,Liasis_albertisii:0.05982621):0.03438025,(((Liasis_olivaceus:0.03713293,(Liasis_fuscus:0.01918723,Liasis_mackloti:0.01381359):0.04989393):0.01383069,Apodora_papuana:0.06764718):0.01789452,(Antaresia_melanocephalus:0.03643972,Antaresia_ramsayi:0.02577372):0.04709483):0.006821191):0.00657582,Morelia_boelen [...]
-    TREE 50 = (Candoia_aspera:0.4379332,(((((Python_sebae:0.07359605,Python_molurus:0.04254693):0.00898198,Python_curtus:0.1110208):0.02649152,Python_regius:0.09660345):0.05497974,(((Morelia_boeleni:0.07553051,((((Morelia_tracyae:0.04456018,Morelia_amethistina:0.02108639):0.002624646,(Morelia_nauta:0.008275892,(Morelia_kinghorni:0.01202487,Morelia_clastolepis:0.006690178):0.0003475322):0.0154572):0.03874607,Morelia_oenpelliensis:0.05392181):0.002551398,(Morelia_bredli:0.02786552,Morelia_ [...]
-    TREE 51 = ((Loxocemus_bicolor:0.3498798,(((Python_curtus:0.1199984,(Python_molurus:0.03343227,Python_sebae:0.06214762):0.01505318):0.01582637,Python_regius:0.1361952):0.06415399,(((Morelia_boeleni:0.07756513,((Morelia_oenpelliensis:0.07415,(Morelia_tracyae:0.04061802,(Morelia_amethistina:0.04029614,(Morelia_clastolepis:0.008050705,(Morelia_kinghorni:0.008623384,Morelia_nauta:0.01475328):0.003627272):0.01071592):0.01336837):0.02026353):0.002976652,(Morelia_bredli:0.02779951,Morelia_sp [...]
-    TREE 52 = (Candoia_aspera:0.4393582,(Loxocemus_bicolor:0.3036332,(((Python_timoriensis:0.07685404,Python_reticulatus:0.0588312):0.06606706,(((((Morelia_bredli:0.02885476,Morelia_spilota:0.02530417):0.03299627,((((Morelia_clastolepis:0.002007727,(Morelia_nauta:0.01156896,Morelia_kinghorni:0.002030209):0.007676394):0.01607767,Morelia_tracyae:0.04849488):0.01065517,Morelia_amethistina:0.02323289):0.04031674,Morelia_oenpelliensis:0.07842425):0.006012383):0.01645917,Morelia_boeleni:0.0821 [...]
-    TREE 53 = (Candoia_aspera:0.4354567,((((((((((Morelia_amethistina:0.01880946,Morelia_tracyae:0.03228031):0.007355948,(Morelia_nauta:0.002509787,(Morelia_kinghorni:0.008547859,Morelia_clastolepis:0.006177976):0.01163141):0.006092898):0.0437007,Morelia_oenpelliensis:0.05868744):0.01058369,(Morelia_bredli:0.02021243,Morelia_spilota:0.0236931):0.04113045):0.02420083,Morelia_boeleni:0.08697624):0.001693959,(((Apodora_papuana:0.05754786,((Liasis_fuscus:0.01519766,Liasis_mackloti:0.00888373 [...]
-    TREE 54 = ((((((((((Morelia_kinghorni:0.008665215,Morelia_nauta:0.0109783):0.001026878,Morelia_clastolepis:0.003541599):0.02206708,Morelia_amethistina:0.01969782):0.004866081,Morelia_tracyae:0.03401599):0.04312542,Morelia_oenpelliensis:0.05542273):0.004424566,(Morelia_bredli:0.02587295,Morelia_spilota:0.02686584):0.03220125):0.02335586,(Morelia_boeleni:0.07466805,((((Morelia_viridisN:0.03284982,Morelia_viridisS:0.05396462):0.02402509,Morelia_carinata:0.0733903):0.00859578,(Antaresia_ [...]
-    TREE 55 = (Candoia_aspera:0.4096436,(Loxocemus_bicolor:0.2825922,((Python_regius:0.143649,((Python_molurus:0.03263311,Python_sebae:0.09044284):0.03325118,Python_curtus:0.09589007):0.01728509):0.04095609,((Python_timoriensis:0.07044698,Python_reticulatus:0.06046401):0.0612632,((((Morelia_bredli:0.0283581,Morelia_spilota:0.01987454):0.02565555,(((Morelia_tracyae:0.04287551,(Morelia_clastolepis:0.006354092,(Morelia_kinghorni:0.007341021,Morelia_nauta:0.01217569):1.422462e-05):0.02275691 [...]
-    TREE 56 = ((((Python_timoriensis:0.0821696,Python_reticulatus:0.0374911):0.06419834,(((Morelia_boeleni:0.08052849,((Morelia_bredli:0.03064723,Morelia_spilota:0.02530753):0.03036284,(((Morelia_amethistina:0.02839346,((Morelia_kinghorni:0.005676871,Morelia_nauta:0.006679796):0.006206046,Morelia_clastolepis:0.002117769):0.02479271):0.007808779,Morelia_tracyae:0.056348):0.03795807,Morelia_oenpelliensis:0.06488113):0.002177624):0.01503186):0.006123575,((Bothrochilus_boa:0.07207754,Liasis_ [...]
-    TREE 57 = ((Loxocemus_bicolor:0.2325396,((((Python_molurus:0.03786264,Python_sebae:0.06502635):0.007936275,Python_curtus:0.09277477):0.01503368,Python_regius:0.1075102):0.03876495,((Python_timoriensis:0.06244723,Python_reticulatus:0.06023936):0.05824688,(((((Morelia_carinata:0.06145063,(Morelia_viridisN:0.03435088,Morelia_viridisS:0.04947603):0.02912258):0.01761857,(Antaresia_maculosa:0.07065326,(Antaresia_perthensis:0.07828664,(Antaresia_stimsoni:0.0170134,Antaresia_childreni:0.0266 [...]
-    TREE 58 = ((Loxocemus_bicolor:0.2468242,(((Python_curtus:0.1170279,(Python_sebae:0.09284164,Python_molurus:0.03687876):0.02243126):0.01334561,Python_regius:0.1148749):0.04587945,((Python_timoriensis:0.07785041,Python_reticulatus:0.06751723):0.08746517,(((Morelia_boeleni:0.08939881,(Bothrochilus_boa:0.07597912,Liasis_albertisii:0.05399311):0.0351783):0.0007660284,((Morelia_bredli:0.02840847,Morelia_spilota:0.02214527):0.03226572,(Morelia_oenpelliensis:0.07709114,(((Morelia_nauta:0.006 [...]
-    TREE 59 = (((Python_regius:0.1522807,(Python_curtus:0.1117174,(Python_sebae:0.1053864,Python_molurus:0.04630373):0.02259866):0.01967949):0.0319183,((Python_timoriensis:0.08010659,Python_reticulatus:0.03796243):0.06844831,(((Morelia_boeleni:0.09501911,((Morelia_oenpelliensis:0.06511799,(((Morelia_clastolepis:0.006418486,(Morelia_nauta:0.01409049,Morelia_kinghorni:0.01242694):0.009480745):0.01750396,Morelia_amethistina:0.02468036):0.005713716,Morelia_tracyae:0.05530899):0.02743302):0.0 [...]
-    TREE 60 = (Candoia_aspera:0.4340778,(((((Python_molurus:0.05527572,Python_sebae:0.08815507):0.01067865,Python_curtus:0.09143945):0.006439727,Python_regius:0.1452298):0.03931163,((Python_timoriensis:0.07775332,Python_reticulatus:0.056339):0.06948392,((((Antaresia_melanocephalus:0.0428833,Antaresia_ramsayi:0.02298154):0.05497927,(((Liasis_fuscus:0.0206774,Liasis_mackloti:0.01631532):0.04937458,Liasis_olivaceus:0.05034072):0.0149876,Apodora_papuana:0.06038298):0.02319475):0.008116068,(L [...]
-    TREE 61 = ((((((((Antaresia_perthensis:0.07638852,(Antaresia_stimsoni:0.02121778,Antaresia_childreni:0.02889215):0.0354173):0.01981606,Antaresia_maculosa:0.0693481):0.01032929,(Morelia_carinata:0.06492437,(Morelia_viridisN:0.02927527,Morelia_viridisS:0.04859942):0.01695186):0.01177804):0.01795348,(((Liasis_albertisii:0.0494817,Bothrochilus_boa:0.0678623):0.03585962,((Antaresia_ramsayi:0.02585155,Antaresia_melanocephalus:0.04108934):0.04877222,(Apodora_papuana:0.06419168,(Liasis_oliva [...]
-    TREE 62 = (((((Python_curtus:0.1007437,(Python_sebae:0.07847175,Python_molurus:0.03661869):0.01177114):0.01913868,Python_regius:0.1148672):0.044093,((Morelia_boeleni:0.08594061,(((((((Morelia_kinghorni:0.004810639,Morelia_nauta:0.01061287):0.01048466,Morelia_clastolepis:0.009231243):0.00945426,Morelia_amethistina:0.02563356):0.004799697,Morelia_tracyae:0.04114297):0.03006124,Morelia_oenpelliensis:0.07771829):0.009323358,(Morelia_bredli:0.03632089,Morelia_spilota:0.02523437):0.0420995 [...]
-    TREE 63 = (Candoia_aspera:0.4533356,((((((Liasis_albertisii:0.04457579,Bothrochilus_boa:0.05094706):0.0327761,(Morelia_boeleni:0.07913116,((Morelia_oenpelliensis:0.07029218,((Morelia_clastolepis:0.0019791,(Morelia_kinghorni:0.0075455,Morelia_nauta:0.009120248):0.009370934):0.01231059,(Morelia_amethistina:0.02332951,Morelia_tracyae:0.03878409):0.003046213):0.02605981):0.002390341,(Morelia_bredli:0.03384283,Morelia_spilota:0.02554936):0.03919047):0.02307381):0.001715514):0.0006266203,( [...]
-    TREE 64 = (Candoia_aspera:0.4760166,(Loxocemus_bicolor:0.2757868,(((Python_timoriensis:0.07564501,Python_reticulatus:0.05995008):0.08176805,(((Liasis_albertisii:0.05854234,Bothrochilus_boa:0.06265786):0.03611681,(((Morelia_carinata:0.06077572,(Morelia_viridisN:0.03375266,Morelia_viridisS:0.05060965):0.01678711):0.01210923,(Antaresia_maculosa:0.06233509,(Antaresia_perthensis:0.0815234,(Antaresia_stimsoni:0.01417981,Antaresia_childreni:0.02374216):0.02519215):0.01449892):0.00686185):0. [...]
-    TREE 65 = (Candoia_aspera:0.4138643,(((((Python_molurus:0.03606197,Python_sebae:0.08431371):0.0151031,Python_curtus:0.09509211):0.009259102,Python_regius:0.1134973):0.06223495,(((((Liasis_albertisii:0.06055545,Bothrochilus_boa:0.07139759):0.01471734,((Antaresia_ramsayi:0.03518096,Antaresia_melanocephalus:0.02931779):0.04659165,(Apodora_papuana:0.06222481,(Liasis_olivaceus:0.04596883,(Liasis_fuscus:0.02048555,Liasis_mackloti:0.01178189):0.0473872):0.005137335):0.01289113):0.01185418): [...]
-    TREE 66 = (Candoia_aspera:0.4089105,(Loxocemus_bicolor:0.2593586,(((Python_timoriensis:0.07988133,Python_reticulatus:0.05016129):0.07450671,(((((Morelia_carinata:0.07236462,(Morelia_viridisN:0.02473521,Morelia_viridisS:0.05530351):0.02301765):0.009019592,(Antaresia_maculosa:0.08353675,(Antaresia_perthensis:0.09658293,(Antaresia_stimsoni:0.013754,Antaresia_childreni:0.03040858):0.0405517):0.01371936):0.01787184):0.02750648,(Morelia_boeleni:0.08164632,((Morelia_bredli:0.03820559,Moreli [...]
-    TREE 67 = (Candoia_aspera:0.4449339,(((((((Antaresia_melanocephalus:0.0453505,Antaresia_ramsayi:0.03185906):0.04791288,(Apodora_papuana:0.06816093,((Liasis_fuscus:0.013558,Liasis_mackloti:0.0222779):0.04901131,Liasis_olivaceus:0.04632228):0.008134278):0.01378831):0.009530067,((((Morelia_bredli:0.03261452,Morelia_spilota:0.02358782):0.02347192,(((((Morelia_clastolepis:0.008472611,Morelia_kinghorni:0.005468857):0.003942563,Morelia_nauta:0.006005992):0.01842269,Morelia_tracyae:0.0368650 [...]
-    TREE 68 = (Candoia_aspera:0.5362472,((((Python_curtus:0.1037307,(Python_sebae:0.1005292,Python_molurus:0.05540015):0.02078274):0.01943558,Python_regius:0.1120188):0.03340796,((Python_timoriensis:0.07649895,Python_reticulatus:0.06999589):0.05984266,((((Bothrochilus_boa:0.07809498,Liasis_albertisii:0.04177523):0.03933876,((Antaresia_melanocephalus:0.04510809,Antaresia_ramsayi:0.0235075):0.05109955,(Apodora_papuana:0.07140937,((Liasis_fuscus:0.01855687,Liasis_mackloti:0.01844191):0.0446 [...]
-    TREE 69 = ((Loxocemus_bicolor:0.342135,((((((Liasis_albertisii:0.04830736,Bothrochilus_boa:0.07607338):0.03296,(((Liasis_fuscus:0.01679569,Liasis_mackloti:0.01195317):0.04018365,(Apodora_papuana:0.06570416,Liasis_olivaceus:0.04346911):0.01052556):0.01745802,(Antaresia_melanocephalus:0.03843291,Antaresia_ramsayi:0.03509593):0.0400436):0.01547011):0.002890318,(((((Morelia_tracyae:0.0552147,(Morelia_nauta:0.01088679,(Morelia_kinghorni:0.007242071,Morelia_clastolepis:0.01214149):0.004459 [...]
-    TREE 70 = ((Loxocemus_bicolor:0.2690822,(((Python_curtus:0.0925561,(Python_sebae:0.0880517,Python_molurus:0.04310565):0.03291147):0.02703655,Python_regius:0.1015576):0.03443013,((Python_timoriensis:0.07286464,Python_reticulatus:0.0484841):0.05235894,(((((Morelia_viridisN:0.04018959,Morelia_viridisS:0.04779184):0.01664751,Morelia_carinata:0.05738444):0.01658997,(Antaresia_maculosa:0.05536493,(Antaresia_perthensis:0.07150627,(Antaresia_stimsoni:0.01522095,Antaresia_childreni:0.02336449 [...]
-    TREE 71 = ((((((Morelia_carinata:0.06155951,(Morelia_viridisS:0.04464672,Morelia_viridisN:0.02762765):0.02463339):0.01333783,(((Antaresia_childreni:0.01969403,Antaresia_stimsoni:0.01686892):0.02815768,Antaresia_perthensis:0.07071792):0.01990291,Antaresia_maculosa:0.08918901):0.01022217):0.01366177,(((Liasis_albertisii:0.05270908,Bothrochilus_boa:0.064011):0.03191483,((Antaresia_ramsayi:0.02613638,Antaresia_melanocephalus:0.04321827):0.04677747,(Apodora_papuana:0.05451725,((Liasis_fus [...]
-    TREE 72 = (Candoia_aspera:0.453306,(Loxocemus_bicolor:0.3887322,((((Python_sebae:0.08365485,Python_molurus:0.03665528):0.0154688,Python_curtus:0.1050893):0.007793195,Python_regius:0.1534954):0.0613676,((Python_timoriensis:0.0680481,Python_reticulatus:0.0621895):0.06921195,(((Morelia_boeleni:0.07784198,((Morelia_bredli:0.02851329,Morelia_spilota:0.02151493):0.03156458,(Morelia_oenpelliensis:0.06409916,((Morelia_tracyae:0.03399367,Morelia_amethistina:0.03818573):0.008414893,(Morelia_na [...]
-    TREE 73 = (Candoia_aspera:0.5520749,(Loxocemus_bicolor:0.2377251,(((((((Antaresia_stimsoni:0.0125949,Antaresia_childreni:0.02313392):0.02206282,Antaresia_perthensis:0.07820299):0.01191254,Antaresia_maculosa:0.06207283):0.01709952,((Morelia_viridisN:0.02766603,Morelia_viridisS:0.05194837):0.02040493,Morelia_carinata:0.06265164):0.005846406):0.03017284,(((((((Morelia_clastolepis:0.002789684,(Morelia_nauta:0.008007311,Morelia_kinghorni:0.004015526):0.004611768):0.007731586,Morelia_ameth [...]
-    TREE 74 = (((((Python_curtus:0.1006856,(Python_sebae:0.08316927,Python_molurus:0.03516886):0.01796021):0.02440497,Python_regius:0.1332322):0.02834445,((Python_timoriensis:0.06957957,Python_reticulatus:0.05636223):0.05746936,((((Morelia_bredli:0.02128809,Morelia_spilota:0.02450162):0.03612316,((((Morelia_clastolepis:0.005198126,(Morelia_nauta:0.01442816,Morelia_kinghorni:0.01178255):0.002347382):0.02317242,Morelia_amethistina:0.01246185):0.01386049,Morelia_tracyae:0.03155355):0.024922 [...]
-    TREE 75 = (((((Python_timoriensis:0.07658318,Python_reticulatus:0.05110824):0.05329578,((((Morelia_bredli:0.03524291,Morelia_spilota:0.0308012):0.02868422,(Morelia_oenpelliensis:0.0754284,((Morelia_amethistina:0.02502096,(Morelia_clastolepis:0.007619496,(Morelia_kinghorni:0.00782635,Morelia_nauta:0.006335583):0.002912933):0.02746534):0.01734855,Morelia_tracyae:0.02524737):0.02578698):0.003275429):0.02849694,Morelia_boeleni:0.07492803):0.005232946,((((Morelia_viridisN:0.03856291,Morel [...]
-    TREE 76 = (Candoia_aspera:0.4393047,(Loxocemus_bicolor:0.2542101,(((((((Antaresia_maculosa:0.06741466,((Antaresia_childreni:0.0330332,Antaresia_stimsoni:0.01454498):0.05188499,Antaresia_perthensis:0.0586203):0.01222515):0.008918908,(Morelia_carinata:0.06125037,(Morelia_viridisS:0.06262673,Morelia_viridisN:0.03160418):0.01678727):0.01154299):0.01559785,((Antaresia_ramsayi:0.02670876,Antaresia_melanocephalus:0.0420795):0.05122368,((Liasis_fuscus:0.02065444,Liasis_mackloti:0.009335938): [...]
-    TREE 77 = (((((Python_timoriensis:0.08782096,Python_reticulatus:0.07040678):0.05833417,(((((Morelia_viridisN:0.03720383,Morelia_viridisS:0.05117086):0.02595,Morelia_carinata:0.07158621):0.01271671,((Antaresia_perthensis:0.07707314,(Antaresia_stimsoni:0.01530133,Antaresia_childreni:0.02824286):0.03871629):0.008834431,Antaresia_maculosa:0.08010591):0.009361026):0.01831402,((Morelia_bredli:0.03099292,Morelia_spilota:0.02404462):0.03387775,((((Morelia_nauta:0.005260173,(Morelia_kinghorni [...]
-    TREE 78 = (Candoia_aspera:0.4009131,((((Python_curtus:0.0869089,(Python_sebae:0.06311244,Python_molurus:0.04755661):0.01261219):0.02842917,Python_regius:0.09876378):0.03739969,(((((Liasis_albertisii:0.05324242,Bothrochilus_boa:0.06904211):0.02380102,(Antaresia_ramsayi:0.01610698,Antaresia_melanocephalus:0.04963503):0.06369576):0.001914608,(Apodora_papuana:0.05942414,((Liasis_fuscus:0.02549272,Liasis_mackloti:0.01196099):0.04490971,Liasis_olivaceus:0.03668288):0.01814909):0.0184324):0 [...]
-    TREE 79 = (((((Python_timoriensis:0.07553944,Python_reticulatus:0.07115621):0.07381626,(((((Morelia_oenpelliensis:0.06551793,(Morelia_amethistina:0.03619238,(Morelia_tracyae:0.05018406,(Morelia_clastolepis:0.002661674,(Morelia_kinghorni:0.01704692,Morelia_nauta:0.009792482):0.004593366):0.01308924):0.00478429):0.02824213):0.006003933,(Morelia_bredli:0.02129453,Morelia_spilota:0.03007546):0.03782753):0.02679029,Morelia_boeleni:0.06715453):0.0118746,(((Antaresia_melanocephalus:0.034965 [...]
-    TREE 80 = (((((Python_timoriensis:0.05253829,Python_reticulatus:0.08561018):0.06208115,(((Morelia_boeleni:0.09228959,((((Morelia_amethistina:0.02455933,(Morelia_nauta:0.002681559,(Morelia_kinghorni:0.008246165,Morelia_clastolepis:0.009838868):0.004629327):0.00972198):0.001301648,Morelia_tracyae:0.03946081):0.03981529,Morelia_oenpelliensis:0.05633571):0.0032127,(Morelia_bredli:0.02654698,Morelia_spilota:0.02108595):0.03328877):0.01067315):0.01415516,((((Liasis_olivaceus:0.04525111,Apo [...]
-    TREE 81 = (Loxocemus_bicolor:0.2566853,(Candoia_aspera:0.4693582,(((((((Morelia_viridisN:0.03146441,Morelia_viridisS:0.05593448):0.0249236,Morelia_carinata:0.06224873):0.01552312,(Antaresia_maculosa:0.05616948,((Antaresia_stimsoni:0.01007809,Antaresia_childreni:0.03079328):0.03638529,Antaresia_perthensis:0.06970695):0.01042068):0.008149887):0.009665657,((Morelia_bredli:0.02544855,Morelia_spilota:0.02456336):0.02973036,(((Morelia_tracyae:0.03685517,(Morelia_clastolepis:0.002197272,(Mo [...]
-    TREE 82 = ((((Python_regius:0.09520516,(Python_curtus:0.09522774,(Python_molurus:0.03950332,Python_sebae:0.05703805):0.02247388):0.02119926):0.03441932,((Python_timoriensis:0.06061827,Python_reticulatus:0.07481421):0.04666084,(((Morelia_boeleni:0.07246276,(((((Morelia_clastolepis:0.002509624,(Morelia_nauta:0.01384186,Morelia_kinghorni:0.009644053):0.007542425):0.009695616,Morelia_tracyae:0.02873899):0.008218219,Morelia_amethistina:0.02877):0.03316924,Morelia_oenpelliensis:0.05804569) [...]
-    TREE 83 = ((Loxocemus_bicolor:0.2952234,(((Python_curtus:0.09552038,(Python_molurus:0.03862383,Python_sebae:0.07267771):0.01718111):0.008183769,Python_regius:0.1364789):0.04738912,((Python_timoriensis:0.05761065,Python_reticulatus:0.0516746):0.06871581,((((((Liasis_fuscus:0.01480832,Liasis_mackloti:0.01183352):0.04883964,Liasis_olivaceus:0.0401242):0.0145517,Apodora_papuana:0.05118669):0.0195619,((Antaresia_melanocephalus:0.03374798,Antaresia_ramsayi:0.0376499):0.07148785,(Bothrochil [...]
-    TREE 84 = (Candoia_aspera:0.5016068,((((Python_curtus:0.09427624,(Python_molurus:0.0227545,Python_sebae:0.09191553):0.01452091):0.0283426,Python_regius:0.107775):0.0194763,((((Morelia_carinata:0.07375593,(Morelia_viridisS:0.0482057,Morelia_viridisN:0.03770947):0.01584058):0.01271865,(Antaresia_maculosa:0.0710502,((Antaresia_childreni:0.01593182,Antaresia_stimsoni:0.01507543):0.03282155,Antaresia_perthensis:0.06500106):0.01194462):0.002767007):0.01885032,((((((Liasis_fuscus:0.02328425 [...]
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-    TREE 89 = (Candoia_aspera:0.4520071,(((Python_regius:0.1009007,(Python_curtus:0.09834139,(Python_sebae:0.0801233,Python_molurus:0.0414197):0.01531084):0.02265769):0.06058729,(((((Liasis_albertisii:0.04496162,Bothrochilus_boa:0.07014187):0.0258081,((Antaresia_melanocephalus:0.03625373,Antaresia_ramsayi:0.0349284):0.04496869,((Liasis_olivaceus:0.03381452,Apodora_papuana:0.06317617):0.01193837,(Liasis_fuscus:0.01998534,Liasis_mackloti:0.01399873):0.04608922):0.02671637):0.00873879):0.00 [...]
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-    TREE 95 = ((((Python_regius:0.1106696,((Python_molurus:0.03080011,Python_sebae:0.08768923):0.01799399,Python_curtus:0.09582502):0.0237615):0.0327879,((Python_timoriensis:0.05730162,Python_reticulatus:0.05610117):0.05178376,(((Morelia_carinata:0.05950242,(Morelia_viridisN:0.03009795,Morelia_viridisS:0.04999991):0.02362724):0.02350348,(((Antaresia_stimsoni:0.01536701,Antaresia_childreni:0.02915634):0.02933886,Antaresia_perthensis:0.08195631):0.01110259,Antaresia_maculosa:0.05806133):0. [...]
-    TREE 96 = (Candoia_aspera:0.4501354,(((Python_regius:0.1048399,(Python_curtus:0.106706,(Python_molurus:0.03471225,Python_sebae:0.07358986):0.02425296):0.02633883):0.04694233,(((((Morelia_bredli:0.03593233,Morelia_spilota:0.02438969):0.03173767,(((Morelia_tracyae:0.04654885,Morelia_amethistina:0.03659602):0.008259002,(Morelia_clastolepis:0.004036055,(Morelia_kinghorni:0.006595114,Morelia_nauta:0.006000134):0.007697233):0.007601145):0.03532755,Morelia_oenpelliensis:0.05754269):0.007221 [...]
-    TREE 97 = (Candoia_aspera:0.4334181,(Loxocemus_bicolor:0.2483078,(((Python_curtus:0.09120633,(Python_sebae:0.06811592,Python_molurus:0.02124031):0.01523931):0.01271599,Python_regius:0.1235802):0.04444922,(((((Morelia_bredli:0.02647463,Morelia_spilota:0.02569939):0.03189336,((Morelia_tracyae:0.02969979,(Morelia_amethistina:0.03375546,(Morelia_clastolepis:0.00246764,(Morelia_nauta:0.004177599,Morelia_kinghorni:0.01005074):0.006947956):0.01479339):0.009535147):0.01780938,Morelia_oenpell [...]
-    TREE 98 = ((Candoia_aspera:0.5016151,Loxocemus_bicolor:0.2444724):0.03221846,((((((Morelia_viridisS:0.04729769,Morelia_viridisN:0.03434786):0.01883497,Morelia_carinata:0.08120721):0.01275832,(Antaresia_maculosa:0.07250472,((Antaresia_childreni:0.0364534,Antaresia_stimsoni:0.01815363):0.04449293,Antaresia_perthensis:0.06613409):0.01531379):0.007934725):0.01554437,(((Liasis_albertisii:0.05705392,Bothrochilus_boa:0.07101109):0.03851546,((Antaresia_ramsayi:0.03344109,Antaresia_melanoceph [...]
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-    TREE 100 = ((Loxocemus_bicolor:0.3021923,(((((((((Morelia_tracyae:0.04026419,((Morelia_clastolepis:0.003650239,Morelia_kinghorni:0.008478112):0.007771618,Morelia_nauta:0.008646885):0.01688588):0.006949875,Morelia_amethistina:0.02684855):0.03323158,Morelia_oenpelliensis:0.06536625):0.004677463,(Morelia_bredli:0.03398565,Morelia_spilota:0.02089452):0.02877487):0.02051626,Morelia_boeleni:0.08799992):0.001944661,((Antaresia_maculosa:0.07478773,(Antaresia_perthensis:0.08661767,(Antaresia_ [...]
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-END;
-
diff --git a/doc/source/examples/pythonidae_continuous.chars.nexml b/doc/source/examples/pythonidae_continuous.chars.nexml
deleted file mode 100644
index f9a3f26..0000000
--- a/doc/source/examples/pythonidae_continuous.chars.nexml
+++ /dev/null
@@ -1,1339 +0,0 @@
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-                    0.88532173285 -0.505379143384 0.633124119395
-                    0.632188042932 -0.153993321707 -0.986327475006
-                    0.349826325193 -0.10609477246 0.359128821361
-                    0.0293203030347 -0.0678019875437 -0.285636695589
-                    -0.515079369442 0.124661302631 -0.430372417229
-                    0.452025613214 0.496979092448 -1.35868502199
-                    0.824441641023 -0.041235792691 0.00697870870537
-                    0.0942135291973 -0.0935020271213 -0.057978163071
-                    0.101419091885 0.317431940036 0.280800496383
-                    0.0606407350644 0.0115767872651 -0.378465601211
-                    0.102209733127 0.74501175453 0.698636979819
-                    -0.404050952093 0.330402685391 -0.14559118084
-                    -0.360934732186 1.18045538927 0.691416438894
-                    -0.146838798121 0.724093390558 -1.06270283722
-                    -0.519876338216 -0.327496989429 -0.797830861929
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-                    -0.079984137623 -0.54788251851 -0.212555879953
-                    0.0486493967007 -0.47093702296 1.06221342907
-                    0.644215035096 0.549454797242 0.561847545072
-                    0.0130081398468 0.377349557561 -0.164809170541
-                    0.32865527267 0.518951110801 -0.620156940724
-                    -0.543739244756 0.185947994631 0.839411587573
-                    -0.73525257817 0.257381629407 -0.320763210661
-                    -0.0194722750024 0.740698656938 0.0718824931227
-                    -0.201513000636 0.0796775139523 0.0932165990511
-                    0.285931294416</seq>
-            </row>
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-                <seq>0.111171434472 -0.14480593458 0.349768236741
-                    0.423293994934 -0.310033183749 0.731547505464
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-                    0.0954114645455 0.544467322609 0.0702562528174
-                    -0.1983244673 0.0256630311517 0.595313450167
-                    0.694698385529</seq>
-            </row>
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-                    0.188778095102 0.419947404598 -0.213897484569
-                    0.222014848223 0.147699412816 0.372419965221
-                    0.843474410618</seq>
-            </row>
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-                    1.07703538156 0.465955523866 1.33980842313
-                    0.00865534304106 0.254968338224 0.207751777316
-                    0.371757077645 0.402517716718 -0.103332718248
-                    0.261844668518 0.0854768121246 0.193375951681
-                    0.0729174265161 0.266964189605 0.133530201989
-                    -0.178386631158 0.236059806698 0.0553815581514
-                    -0.230535241938 0.891577915955 0.313194449126
-                    -0.054601310321</seq>
-            </row>
-            <row id="x4320768344" otu="x4320382864">
-                <seq>-0.333349760316 0.937999681209 0.190416841942
-                    0.633837526505 0.290311325173 0.341723812225
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-                    -0.200623853352 -0.26186605583 0.619014740548
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-                    -0.203616629588 0.886014721768 -0.465249247312
-                    -0.716717522615 0.373079559369 0.749834104327
-                    -0.688533050329 -0.0432921582281 -0.622593417169
-                    0.0890962584083 -0.13474707326 -0.501894840413
-                    -0.0357460357622 -0.113716625785 0.557279941864
-                    0.255985368953 -0.0791952002678 0.129456471255
-                    -0.209250591871 0.192257478518 -0.149748180833
-                    -0.0310389923151 -0.149252528097 0.868699360752
-                    -0.198516933799 0.342389606078 0.525031585957
-                    -0.173721312389 0.106448164786 0.112931518974
-                    -0.136646104963 0.521081701104 -0.540620884262
-                    0.659762629122 0.15869520249 0.272776914354
-                    0.171029934146 0.102787985203 0.258366078606
-                    0.331066382208 0.122834013115 0.183847466985
-                    -0.00118580075695 -0.376858162282 0.30070882239
-                    0.183057034665</seq>
-            </row>
-            <row id="x4320789704" otu="x4320382928">
-                <seq>0.11615122835 0.457857813617 0.674789492308
-                    0.437907751253 -0.0889010327804 0.573852357781
-                    -0.336788309082 0.595286711623 0.429187110814
-                    0.539235151514 0.0285985078064 0.569747461907
-                    0.297323675873 0.056330768672 0.686024235858
-                    -0.669459607587 -0.499477990246 -0.184948903876
-                    -0.166401854301 -0.797706719421 -0.297720767212
-                    0.555376944191 -0.578254090407 0.961245337047
-                    0.540629167825 -0.614568965938 -0.380923431907
-                    0.0960559356897 0.410306141421 0.86223535738
-                    -0.119692123228 -0.0628686568976 -0.363864747399
-                    -0.215274585288 -0.100237206075 -0.456641298039
-                    0.849049249444 -0.384919610574 -0.820864292219
-                    0.763927997888 -0.645403429483 0.251939293164
-                    -0.115243480515 -0.190227614941 -0.50923898634
-                    0.180972516996 0.346905530495 0.235701058854
-                    0.410071963046 -0.120962546754 -0.585064292567
-                    -0.371385848654 0.341012147976 0.764209154841
-                    0.0408825775264 0.440090282763 -0.314246791982
-                    -0.533085258673 0.548059434658 0.194729068304
-                    -0.59679730126 0.399034616025 -0.342222816753
-                    0.0650985539801 0.204807216093 -0.0356643610494
-                    0.415398084903 0.113169662184 0.630033559301
-                    0.343073911215 -0.149100926089 0.112398484425
-                    0.262782208415 0.153241591554 0.0901231653197
-                    -0.202133059848 -0.341056538803 0.191445614577
-                    -0.162802994956 0.671686805868 0.23669471253
-                    -0.200052099773 0.368376809743 0.116352215707
-                    -0.0860409806397 0.593296065966 -0.344354977998
-                    0.866641102459 0.193096154639 0.104064707399
-                    -0.279560207285 -0.0301239713628 0.613158315193
-                    0.232356963241 -0.182325029587 -0.158361390186
-                    -0.465341768276 0.0851215900622 0.689299700081
-                    -0.0648517325651</seq>
-            </row>
-        </matrix>
-    </characters>
-</nex:nexml>
diff --git a/doc/source/examples/pythonidae_cytb.fasta b/doc/source/examples/pythonidae_cytb.fasta
deleted file mode 100644
index a0c5414..0000000
--- a/doc/source/examples/pythonidae_cytb.fasta
+++ /dev/null
@@ -1,99 +0,0 @@
->Xenopeltis unicolor
-???????????????????????????????????????????????????????AAACT--AAAATTCCCATTT-CCCACATATAT----GGATATT--ACGAAG--AAAAAA---GGACTAAAAAAAG---TCCTCTCTCGACCCCCCCCCTACCCCCCCCC-ACAGTT---AGTACGGGT------TTTCC-ATATATGTAACTCTTATAGATTTGCCTATCAAGGC-ATACTATGTATAATCATACATTAATGGCTTGCCCCATGAATATTAAACAGGAATTTCCCTTTAAATATTTTAGCCTAAAAAAGCCTTCGTACAGAACTTTAATA----CCACATTTCT-CAGTCGTTCAATGAAGCACGGAT-ATAGTA--TTGTT-GATAACCATGACTATCC--ACATCCAACTTGTCTTACAGGATCTTGCTA-TTCACGTGAAATCCTCTATCCTTTCATAGCAGGCATACCATTCGACTTCTCACG [...]
-
->Loxocemus bicolor
-???????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????? [...]
-
->Morelia spilota
-?GCCACACCCCTCACTTCCTCC-------------------CAACCATAGTCTGTAA-TTTACAGACTATGGT--CCATGCCTTAATATA-AAGCCAAAAATCCATATAATTTACCACAAAATAAAG-----CTCTCTC-TCGGCCCCCCCCCTACCCCCCCCC---AARAA-CATTGGGGAR------ACCGGCACACAAAACCA--TTARAAAACTCTTAACAAACCT--CTCTATGTATAATCTTACATTAATGGTTTGCCCCATGAATATTAAGCAGGAATTTCCCTTTTATTATTTTAGTCTAAAATGGCCTTTGTACAAAATATTCTG----TCCTCATTCTCTTGGTCGTTCTATGCAGCACGAGTT--AACTA-ATCTT-ATTAATCATGGATATTC-TCAAC-CTAAGGGTGTCTCTTAGTCTAGCG-CTTCCCGTGAAATCCTCTATCCTTCCATAGAATGCTAACCATTCGACTTCTCACG [...]
-
->Morelia bredli
-?GCCAC-CCCCTCACTTCCT---------------------TAACCATAGTCTGTAA-TTTACAGACTATGGT--CCATGCCTTAATATA-AAACCAAAAATCCATATAATTTACCACAAAATAAAG-----YTYTYTY-TYGGCCCCCCCCCTACMCCCCCCC--AAAGAA-CATTGGGAAA------ACCGGCACACAAAACTA--TTAGAAAACTCTTAACAAACCC--CTCTATGTATAATCTTACATTAATGGTTTGCCTCATGAATATTAAGCAGGAATTTCCCTTTTATTATTTTAGTCTAAAATGGCCTTTGTACAAAACATTCCG----TCCTCATTCTCCTGGTCGTTCTATGCAGCATGAGTT--AACCA-ATCTT-ATTGATCATGGATATTC-TTAAC-CTAAGGGTGTCTCTTATCCTAGCA-CTTCCCGTGAAATCCTCTATCCTTCCATAGAATGCTAACCATTCGACTTCTCACG [...]
-
->Morelia carinata
-?GCCACAACCCTCACTTCCT--------------------AAAACCATAGTCTGTAAA--TACAGACTATGGT--TCTTACCTCAATATA-AAGCCAAAAACCCATATAAAACGC-ACACAATAAAACG---CTCTC-C-TCGGCCCCCCCCCTACCCCCCCC--ATAATAAACATAGGAGAA------ATCAGCACACAAAACTA--CTGAAGATACCCCCTCATCTCT--CCCTATGTATAATCTTACATTAATGGTTTGCCCCATGAATATTAAGCAGGAATTTCCCTTCAAATATTTTAGTCTAAATAAGCCTTCGTACAGAATATTTAG----TCCTCATTTTC-TGGTCGTTCAATGCAACACGGATT--AATGG-ATCTT-ACTAACCATGGCTATCC-TTGAT-CAAGKGGKGTCTYTTAATCTAGTA-CTTCCCGTGAAACCCTCTATCCTTCCATAGAATGCTAACCATTCGACTTYTCACG [...]
-
->Morelia amethistina
-?ACCACACCCCTCACTTCCTC--------------------CAACCATAGTCTGTAA-TTTACAGACTATGGT--CCATGCCTTAATATA-AAGCCAAAAATCCATATAATTTACCACAAAATAAAG-----CTCTCTC-TCGGCCCCCCCCCTACCCCCCCCC--AAAAAAACATTGGGGAA------ACCGGCACACAAAACCA--TTAAAAAACTCTTAACAAACCT--CTCTATGTATAATCTTACATTAATGGTTTGCCCCATGAATATTAAGCAGGAATTTCCCTTTTATTATTTTAGTCTAAAATGGCCTTTGTACAAAATATTCTG----TCCTCATTTTCTTGGTCGTTCTATGCAGCATGAGCT--AACTA-ATCTT-ATTAATCATGGATATTC-TTAAC-CTARGGGTGTCTCTTAGTCTAGCG-CTTCCCGTGAAATCCTCTATCCTTCCATAGAATGCTAACCATTCGACTTCTCACG [...]
-
->Morelia oenpelliensis
-?GCCAC-MCCCTCACTTCCT---------------------TAACCATAGTCTGTAA-TTTACAGACTATGGT--CCATGCCTTAATATA-AAACCAGAAATCCATATAATTTACCACCAAATAAAG-----YTYTYTY-TYGGCCCCCCCCCTACCCCCCCCC--AAAGAA-CATTGGGAGA------ACCGGCACACAAAATTA--TTAGAAGACTTTTAACATACCC--CTCTATGGATAATTTTACATTAATGGTTTGCCTCATGRATATTAAGCAGGGAWTTCCCTTTTATTATTTTAGTCTAAAACGGCCCTTGTACCAGACATTCCG----TCCTCATTCTCCTGGTCGTTCTATGCAGCATGAGTT--AACCA-ATCTT-ATTGATCATGGATATTCCTTGAC-CTAAGGGTGTSTCTTATCCTAGCA-CTTCCCGTGAAATCCT-TATCCTTCCATAGAATGCTAACCATTCGACTTCTCACG [...]
-
->Morelia boeleni
-??AAACAACCCTCACTTCCTT--------------------CAACCATAGTCTGGA---TTCCAGACTATGGT--TGTTACCTAAAAAACTAAAGAAAAAATCCATATAAAC----------TAAAAA----CTCTCTC-TCGGCCCCCCCCCTACMCCCCCC---GGGTCAGCACAAAAAC-------ATCAC---------------CCAAAAATCCCCCTTTTT-CC--CCCTATGTATAATCTTACATTAATGGTTTGCCCCATGAATAATAAGCAGGAATTTCCCTTTAAATATTTTAGTCTAAAATAGCCTTT-TACATAAAATTATG----TCCTCATTTCT-TGGTCGTTCAATGCAGCACGGATT--AATAT-ATCTT-ATTGATCATGGATATCC-TTGGT-CTAATGGTGTCTCTTAGTCTAACA-CTTCCCGTGAAATCCTCTATCCTTCCATAGAATGCTAACCATTCGACTTCTCACG [...]
-
->Morelia viridisS
-?A-ATCAACCCTCACTTCCTCC-------------------TAGCCATAGTCTGTAAG-TTACAGACTATGGCT--CATGCCTTAATATATAAACCAAAAACCCATATAAT-CACTGAACAATAAAA-----CTYTYTYCTCGGCCCCCCCCCTACCCCCCCC---GGAAAACCATAAAA---------ATCAGCACATAAATAAA--CCTACTAATCCCATTGCTTCCT---CCTATGTATAATCTTACATTAATGGTTTGCCCCATGAATATTAAGCAGGAATTTCCCTTCAAATATTTTAGCCTAAATTAGCTTCCGTACAAAATATCTAG----CCCTCATTTTC-TGGTCGTTCAATGCAATCGGGGTT--AATAA-ATCTT-ACTAACCATGGATATCC-TTGAT-CAGGTGGTGTCTCTTAATTTAGTA-CTTCCCGTGAAATCCTCTATCCTTCCATAGAATGCTAACCATTCGACTTCTCACG [...]
-
->Morelia viridisN
-?A-CTCAACCCTCACTTCCTTC-------------------CAGCCATAGTCTGTAAA-TTACAGGCTATGGCT--CATACCTTGATATATAAACCAAAAACCCATATAATTCACCACACAACAAAA-----CTCTCTCCTCGGCCCCCCCC-TACCCCCCCCC--GGAAAAACATAGAAGAA------GTCAGCACAATTAAACT--TACTGATAACCCCTTGCTTCCT--CCCTATGTATAATCTTACATTAATGGTTTGCCCCATGAATATTAAGCAGGAATTTCCCTTCAAATATTTTAGCCTAAAATAGCCTTTGTACAAAATACCTTG----TCCTCATTTTC-TGGTCGTYCAATGCAATCGGGTCT--AACAA-ATCTT-ACTAACCATGGATATCC-TTGAT-CAAGTTGTGTCTCTTAATCTAGTAACTTCCCGTGAAATCCTCTATCCT-CCATAGAATGCTAACCATTCGACTTCTCACG [...]
-
->Liasis olivaceus
-?GCCACAACCCTCACTTCCCC-----------------ACCTAACCATAGTCTGTAAA-TTACAGACTATGGT--TGATACCTTAATACA-AAGCCGAAACCCCATATAAACAGCACCACAACAAAA----CTCTACTC-TCGGCCCCCCCCCTACMCCCCCCC--ACAAAAACATAGGARAA------ATCAGCACAAACAATC---MCCTAAAATCCCCCCTTAACCC--CCCTATGTATAATCTTACATTAATGGTTTGCCCCATGAATATTAAGCAGGAATTCCCCTTTAAATATTTTAGTCTGAATTAGCCCTTGTACAAAAAATCTTG----TCCTCATTTTC-TGGTCGTTCAATGCAGCACGGATT--AATAG-ATCTT-ATTAACCATGGCTATCC-TTGAT-CTAGTGGTGTCCCATGATCTAGTA-CTTCCCGTGAAATCCTCTATCCTTCCATTGAATGCTAACCATTCGACTTCTCACG [...]
-
->Liasis mackloti
-?ACCACAACCCTCACTTCCTT--------------------CAGCCATAGTCTGTAA-TTTACAGGCTATGGC--TGATACCTTAATATA-AAACCAAAATCCCATATAAATACCACCACAACAAAG-----CTCTCTC-TCGGCCCCCCCCCTACMCCCCCCC--ACCAAAACATAGAARAA------ATCAGCACAATAAATA---CTARAAGTATTTGCTTCCTTCC--CCCTATGTATAATCTTACATTAATGGTTTGCCCCATGAATATTTAGCAGGAATTTCCCTTTAAATATTTTAGCCTAAAATAGCCTTTGTACACAAAACTATG----TCCTCATTTCT-TGGTCGTTCAATGCAGCACGGATT--AATAG-ATTTT-AATAACCATGACTATCC-TTGAT-CTAGTGGTGTCCCATGATTTAGTA-CTTCCCGTGAAATCCTCTATCCTTCCATTGAATGCTAACCATTCGACTTCTCACG [...]
-
->Liasis fuscus
-?ACCACAACCCTCACTTCCTC--------------------CAGCCATAGTCTGTAA-TTTACAGGCTATGGC--TGATACCTTAATATA-AAACCAAAATCCCATATAAATACCACCACAACAAAG-----CTCTCTY-TCGGCCCCCCCCCTACCCCCCCCC--ACCAAAACATAGAAGAA------ATCAGCACA-AAATAACA-CTAGAAGTATTACTTCCTTGCC--CCCTATGTATAATCTTACATTAATGGTTTGCCCCATGAATATTTAGCAGGAATTTCCCTTCAAATATTTTAGCCTAAAATAGCCTTCATACATAAAATTATG----TCCTCATTTCT-TGGTCGTTCAATGCAGCACGGATT--AATGG-ATTTT-AATAACCATGACTATCC-TTGAT-CTAGTGGTGTCCCATGATTTAGTA-CTTCCCGTGAAATCCTCTATCCTTCCATTGAATGCTAACCATTCGACTTCTCACG [...]
-
->Liasis albertisii
-????GCTCCTCTCACTTCCTC--------------------AGACCACAGTCTGCAA---TGCAGACTGTGGTTTTGTGCCCAGAATATA--AACCAAAAAACCATATAAACAACACCRCGACAAAAAAGA--TCTCTC-TCGGCCCCCCCCMTACMCCCCCCC--AAAAAAACATARAGGAA------ATCAG--------------------TTCATARACT--------CTCTATGTATAATCTTACATTAATGGTTTGCCCCATGAATATTAAGCAGGAATTCCCCTTTAAATATTTTAATCTAAATTAGCCTTCGTACACAAAATTCAG----TCCTCATTCTC-TGGTCGTTCAATGCAGCACGGATT--AATCA-GTCTT-ACTAACCATGGATATCC-TTGAT-CTAGTCGTCTCTCTTAGTCTAACA-CTTCCCGTGAAACCCTCTATCCTTCCACTGAATGCTAACCATTCGACTTCTCACG [...]
-
->Apodora papuana
-?GCCACAACCCTCAMTTCCTT--------------------CAGCCACAGTYTGTAA-TTTACAGACTGTGGC--CCATGCCTCAATATA-AAGCCGAAAATCCATATAAATAACACCAAAACAAAG-----CTYTCCC-TYGGCCCCCCCCCTACCCCCCCCC--AAAAAAATATAGAGAA------CTATAGAACAAATAACCA---CCAAGAAGTTCACTATCCCCC--TCCTATGTATAATCTTACATTAATGGTTTGCCCCATGAATATTAAGCCGGAATTTCCCTTTAAATATTTTAGTCTAAATATGCCCTTGTACACAAAATTCAG----TCCTCATTTCT-TGGTCGTTCAATGCAGCCAGGAAT--AATCA-ATCTT-ATTAACCATGGATATCC-TTGAT-CTAGTGGTGTCTCTTGGTCTAGTA-CTTCCCGTGAAATCCTCTATCCTTCCATTGAATGCTAACCATTCGACTTCTCACG [...]
-
->Bothrochilus boa
-??GCACCGCCCTCACTTCCTC--------------------CGACCGCAGTCTGCC----AGCAGGCTGCGGTC-GCATGCCCAAAAACACAAACCAAAAAACCATATAAACAACGCCGCAACAAAAGG----YCYCYC-TCGGCCCCCCCCCTAC-CCCCCCC-ACAAAAAACATAGAGAAA------ATCAG--------------------TTTTCACAC---------CCCTATGTATAATCTTACATTAATGGTTTGCCCCATGAATATTAAGCAGGAATTTCCCTTCAAATATTTTAATCTAAAATAGCCTTTGTACATAAAATTTGC----CCCTCATTTCT-TGGTCGTTCAATGCAGCATGGATT--AATCA-GTCTT-ATTAACCATGGATATTC-TCAGT-CTAGTTGTGTCTCTTAGCCTAACA-CTTCCCGTGAAATCCTCTATCCTTCCACTGAATGCTAACCATTCGACTTCTCACG [...]
-
->Antaresia maculosa
-?ACCACAACCCTCACTTCCTCC--------------------AGCCATAGTCTGTAAATTTACAGACTATGGC--TGATACCTCAACATA-CAGCCAAAATTCCATATAATAT-CCCCACAACAA-----CTYTYTYTCYTYGGCCCCCCCCCTACCCCCCCC---ATCCAAATATATAAGAA------ATCAGCACAATAAACCT--ACTAGGAATTGCCAATAACTCC--CCCTATGTATAATCTTACATTAATGGTTTGCCCCATGAATATTAAGCAGGAATTCCCCTTCAAATATTTTAGTCTAAAATAGCCTTTGTACAGAATATTTAG----TCCTCATTTCT-TGGTCGTTCAATGCAACACGGATT---ATCAGTTCTT-ACTAACCATGGATATCC-TTGAT-CTAGTGGTGTCTCTTAATCTAGTA-CTTCCCGTGAAATCCTCTATCCTTCCATAGAATGCTAACCATTCGACTTCTCACG [...]
-
->Antaresia stimsoni
-?ACCACAACCCTCAMTTCCTTTCAGCCATAGTCTGTAAATACAGCCATAGTCTGTAAA--TACAGACTATGGC--TGATACCGCCATATA-GAGCCGAAAACCCATATAATATGCCACACAATAAA------CTYTYTCCTYGGCCCCCCCCCTACCCCCCCCC--ATTAAAACATATGGGAA------AACAGCACAAATACATA--TTAAAGAATGTCCAATTAATCC--TCCTATGTATAATCTTACATTAATGGTTTGCCCCATGAATATTAAGCAGGAATTCCCCTTTAAATATTTTAGCCTAAAATGTCCTTCGTACAGAATATTAAG----TCCTCATTTTC-TGGTCGTTCAATGCAATCAGGATT--AATCA-TTCTT-ACTAACCATGGCTATCC-TTGAT-CTAGTGGTGTCCCTTAATTTAGTA-CTTCCCGTGAAATCCTCTATCCTTCCATAGAATGCTAACCATTCGACTTCTCACG [...]
-
->Antaresia childreni
-?GCCACAACCCTCACTTCCTTCCAGCCATAGTCTGTAAATACAGCCATAGTCTGTAAA--TACAGACTATGGC--TGATGCCGCCATATA-GAGCCGAAAAACCATATAATATACCACACAATAAA------CTCTCTCCTCGGCCCCCCCCCTACCCCCCCCC--ATTAAAACATATGGGAA------AGCAGCACAAATACATA--TTAAAGAATGTCCAATTAATCC--TCCTATGTATAATCTTACATTAATGGTTTGCCCCATGAATATTAAGCAGGAATTCCCCTTTAAATATTTTAGTCTAAAATGTCCTTTGTACAGAATATTTAG----CCCTCATTCTC-TGGTCGTTCAATGCAATCGGGATT--AATCA-TTCTT-AATAACCATGACTATCC-TTGAT-CTAGTGGTGTCCCTTGATTTAGTA-CTTCCCGTGAAATCCTCTATCCTTTCATAGAATGCTAACCATTCGACTTCTCACG [...]
-
->Antaresia perthensis
-?ATCA-AACCC------------------------AAAACTAAGCCACAGCCTGTTT--AAACAGGCTGTGGC--TGATGCCGCCATACA-AAGCCGAAATTCCATATAACACACCACAATATAAA------CTYTYTCCTYGGCCCCCCCCCTACCCCCCCCC--AACCAAACATATAAGAA------AACAGAACAGTGAACAA--TTAGAGATTCTCCAATTAACTC--TCCTATGTATAATCTTACATTAATGGTTTGCCCCATGGATATTAAGCAGGAATTTCCCTTCAAATATTTTAGTCTAAAATAGCCTTTGTACAGTCTATTTAG----TCCTCATTTTC-TGGTCGTTCAATGCAGCATGGATT--AATCA-TTCTT-ACCGATCATGACTATCC-TTGAT-CTAGTGGTGTCTCTTAATTTAGTA-CTTCCCGTGAAATCCTCTATCCTTCCCTAGAATGCTAACCATTCGACTTCTCACG [...]
-
->Antaresia melanocephalus
-?ACCACA----------CCTTCC-----------------CCAACCATAGTCTGTAACC--ACAGACTATGGT--CGATGTCTCAATATA-AAGCCAAAAATCTATATAAATAAA-ACACAATAAAG-----CTCTCTCCTCGGCCCCCCCC-TACMCCCCCC--ACAAGAAATATAGAAGAA------ACCAGCACATAAGACTA--TAAGGATTCCCCCCTTCTTTCC--CCCTATGTATAATCTTACATTAATGGTTTGCCCCATGAATATTAAGCCGGAATTCCCATTTAAATATTTTAATCTAAATTTGCCTTTGTACTTAAAATTCAG----TCCTCATTTCT-TGGTCGTTCAATGCAGCACGGATT--AATAG-ATCTT-ATTAACCATGGCTATCC-TTGAT-CTAGTGGTGTCCCATGATCTAGCT-CTTCCCGTGAAATCCTCTATCCTTCCTCTGAATGCTAACCATTCGACTTCTCACG [...]
-
->Antaresia ramsayi
-?ACCACG----------CCTTCC-----------------CCA-CCATAGTCTGTAAA-TTACAGACTATGGT--CGTTGCCTCAACATA-AAGCCAAAAACCCATATAAACAAAAC--ATATAAA----CTCTCTCTCCTCGACCCCCCCC-TACCCCCCCC--ACAAGAAATATAGAAGAA------ACCAGCACATAAGACTA--TAAGGATTTCCCCCTCCTTTCC--CCCTATGTATAATCTTACATTAATGGTTTGCCCCATGAATATTAAGCCGGAATTCCCATTTAAATATTTTAATCTAAATT-GCCTTCGTACCTAAAATTCAG----TCCTCATTTCT-TGGTCGTTCAATGCAGCACGGATT--AATAG-ATCTT-ATTAACCATGGCTATCC-TTGAT-CTAGTGGTGTCCCATGATCTAGCT-CTTCCCGTGAAATCCTCTATCCTTCCTCTGAATGCTAACCATTCGACTTCTCACG [...]
-
->Python reticulatus
-??CCATCACCCTCACTTCCTCC--------------------AACCATAGCCAAATA-TTT---GGCTATGGTT-TCATGCCAAAATATATCAACCAAAAACCCATATTAATATAATGCTATAAAATGG-------TCCCTCGACCCCCCCCCTACCCCCCCC--AAAAAA--CATAAGGAAA------GTCCG-CACATCATAAACCTCGTACTTTTCCCTATTTTTT-GCTCCTATGTATAATCTTACATTAATGGCTTGCCCCATGGATAATAAGCAGGAATTTCCCTTTTAATATTTTAGTCTAAATTAGCCTTCGTACAGGTAATTCAGT----CCTCATTTTC-TGGTCGTTCAATGCAGCATGGATT--AATAA-TTGTT-GATAACCATGGATATCC-TTGAT-CTAGTTGTGTCCCTTGATTTAACA-CTTCCCGTGAAATCCTCTATCCTTCCGCGTAATGCTAACCATTCGACTTCTCACG [...]
-
->Python timoriensis
-TA-CACCACCA------------------------------AGACCATAGTCGGTAAATC----GACTATGGTCTTTTTACGCCAAAAATACAACCAAAAATCCATATTAATATAGCAATATAAAATAG-------CCCCTCGACCCCCCCCCTACCCCCCCCC-ACAAAAA-TATAAAGAAA------ACCCG-TATGTCATAAACTCCGAATTTTTCCCTATTTTT--GCCCCTATGTATAATCATACATTATTGGCTTGCCCCATGGATAATAAGCAAGAATTCCCTTTTTAATATTTTAGTCTAAAATTGCCTTT-TACAAAAAACTCAGT----CCTCATTTCT-TGGTCGTTCAATGCAGCATGGGCT--AATAA-TTATT-AATAACCATGACTATCC-TTGAT-CTAGTTGTGTCTCTTAGTTTGGTA-CTTCCCGTGAAATCCTCTATCCTTCCGCGTAATGCTAACCATTCGACTTCTCACG [...]
-
->Python sebae
-?????????????????????????????????????????????????????????????????????????????CTTCCTCAGACAC-AAACTCA-ACCTCAAATAAAAATAAAAATAAT-----------CCTACCTCGGCCCCCCCCCTACCCCCCCC--ACTATTT-CATATGGAA-------TACAGGATATATAC-TTTGTTAGAAAAATCCATATTTTTTCTACCCTATGTATAATCTTACATTAATGGCTTGCCCCATGAATAATAAGCGGGAATTCCTAATAAAATATTTTAGCCTAAAATTGCCTTCGTACATAAAATT-AGC---TCCACATTTCTTTGGTCGTTCAATGCTGCANGGATTATAGTAC-TTCTT-AATACACATGACTATCC-TTGAT-CTAGTCGTCTCTCTTAACTTAACA-CTTCCCGTGAAATCCTCTATCCTTTCATA-CATGCTAACCATTCGACTTCTCACG [...]
-
->Python molurus
-?????????????????????????????????????????????????????????????????????????????CTTCCTCAGACAC-AAACTCA-ACCTCAAATAAAAATAAAAACAAT-----------CCTACCTCGGCCCCCCCCCTACCCCCCCCC-ACTATTT-CATATGGAA-------TACAGGATATATACATTTGTTAGAAAAATCCATATTTTTTCTACCCTATGTATAATCTTACATTAATGGCTTGCCCCATGAATAATAAGCGGGAATTCCTAATAAAATATTTTAGCCTAAAATTGCCTTCGTACATAAAATT-AGC---TCCACATTTCTTTGGTCGTTCAATGCTGCACGGATTATAGTAC-TTCTT-AATACACATGACTATCC-TTGAT-CTAGTCGTCTCTCTTAACTTAACA-CTTCCCGTGAAATCCTCTATCCTTTCATA-CATGCTAACCATTCGACTTCTCACG [...]
-
->Python curtus
-?CCACAAAA-----------------------------------CCAT-----------------ATTAATYTT--CCCACCTATAAYTA-AACCCGAAATTCCCTATAAA--CACAACAAAAAATA-----CTCCTTCYTCGCCCCCCCCC-TACCCCCCCCCCAC-ATTT-AATATAAGAT------TCTGG--AATATACACACATCGTTAATTTCCATATTTTTT--ATGCTATGTATAATCTTACATTAATGGTTTGCCCCATGAATAATAAGCCGGAATTCCATATTAAATATTTTAGCCTAAAATTGCCTTAGTACCTAAAACT-AGTCCTTCCTCATTTTC-TGGTCGTTCAATGCTGCATGGATT--AATCA-TTCTTTAACAGATATGTCTATCC-TTGAT-CTAGTCGTCTCTCTTAACCTGGCG-CTTCCCGTGAAATCCTCTATCCTTTCATA-CATGCTAACCATTCGACTTCTCACG [...]
-
->Python regius
-?????????????????????????????????????????????????????????????????????????????TTACCTCAAT----AAACCCAAACCCACTATAAAAATATAA-----------------CCCCCTCGGCCCCCCCCCTTCCCCCCCCC-ACTTACA---TAGGAGGA------TTTAG-ATATATACACATATTAGGATTTTCCCTATCTTTTC-ACCCTATGTATAATCTTACATTAATGGTTTGCCCCATGAATATTAAACCAGAATTTCCAATTAAATATTTTAACCTAAAATTGCCTTCGTACACTACACC-AGT---CCCTCATTTCT-TGGTCGTTCAATGCTGCACGGATTATAGTAC-TTATT-AATGCTCATGTCTATCC-TTGGT-CTAGTGGTGTCTCTTAGTTTAACA-CTTCCCGTGAAATCCTCTATCCTTTCATA-CATGCTAACCATTCGACTTCTCACG [...]
-
->Candoia aspera
-?????????????????????????????????????????????????????????????????????????????????????????????????AAA----CTA-------------------------CT-CTCTGG-GACCCCCCCC-TACCCCCCCC--AGATAAACTATACTAAAATTTACCTGAGTACACTATGTAAATATTGTACATTAGTCTATATTTC--ATGCTATGTATAATCATACATTAATGATCTGCCCCATGGATAATAAGCAGGAATTTCCCTATTAATATTTCAGCCTATTAATGCCTTAGTACAGTCAGTGTGTC---ACCACATCAT--GGGTCGTTTTATGCAGCAAGGATTA-ACTA--TTATT-GGTAATCATGCCTATCC--TGATCCAAGTTGTC-CTCTTAATCTACCTA-CTCACGTGAAATCCTCTATCCTTCCAAGAATGGCTAACAGTCCTGCTTTTCACG [...]
-
->Morelia nauta
-???????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????? [...]
-
->Morelia clastolepis
-???????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????? [...]
-
->Morelia tracyae
-???????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????? [...]
-
->Morelia kinghorni
-???????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????? [...]
-
diff --git a/doc/source/examples/raxml_estimate_tree.py b/doc/source/examples/raxml_estimate_tree.py
deleted file mode 100644
index 1dd6b2d..0000000
--- a/doc/source/examples/raxml_estimate_tree.py
+++ /dev/null
@@ -1,14 +0,0 @@
-#! /usr/bin/env python
-
-import dendropy
-from dendropy.interop import raxml
-
-data = dendropy.DnaCharacterMatrix.get(
-    path="pythonidae.nex",
-    schema="nexus")
-rx = raxml.RaxmlRunner()
-tree = rx.estimate_tree(
-        char_matrix=data,
-        raxml_args=["--no-bfgs"])
-print(tree.as_string(schema="newick"))
-
diff --git a/doc/source/examples/readroot.py b/doc/source/examples/readroot.py
deleted file mode 100644
index a747e07..0000000
--- a/doc/source/examples/readroot.py
+++ /dev/null
@@ -1,20 +0,0 @@
-import dendropy
-
-tree_strs = [
-    "     (A, (B, (C, (D, E))));",
-    "[&U] (A, (B, (C, (D, E))));",
-    "[&R] (A, (B, (C, (D, E))));",
-]
-
-rootings = (None, "force-unrooted", "force-rooted", "default-unrooted", "default-rooted",)
-
-for tree_str in tree_strs:
-    for rooting in rootings:
-        tree = dendropy.Tree.get(
-                data=tree_str,
-                schema="newick",
-                rooting=rooting)
-        rooting_token = tree_str[:4]
-        rooting_keyword_value = "'{}'".format(rooting) if rooting is not None else "None"
-        print("rooting={:20}, token='{}', tree.is_rooted: {}".format(
-            rooting_keyword_value, rooting_token, tree.is_rooted))
diff --git a/doc/source/examples/readroot2.py b/doc/source/examples/readroot2.py
deleted file mode 100644
index ae1fdf5..0000000
--- a/doc/source/examples/readroot2.py
+++ /dev/null
@@ -1,14 +0,0 @@
-import dendropy
-
-# force tree to be read as rooted
-mle.rooted = dendropy.Tree.get(
-        path='pythonidae.mle.nex',
-        schema='nexus',
-        rooting='force-rooted')
-
-# force tree to be read as unrooted
-mle.rooted = dendropy.Tree.get(
-        path='pythonidae.mle.nex',
-        schema='nexus',
-        rooting='force-unrooted')
-
diff --git a/doc/source/examples/remove_branch_lengths.py b/doc/source/examples/remove_branch_lengths.py
deleted file mode 100644
index 1af074b..0000000
--- a/doc/source/examples/remove_branch_lengths.py
+++ /dev/null
@@ -1,11 +0,0 @@
-#! /usr/bin/env python
-
-import dendropy
-
-mle = dendropy.Tree.get(
-    path='pythonidae.mle.nex',
-    schema='nexus')
-mle_len = mle.length()
-for edge in mle.postorder_edge_iter():
-    edge.length = None
-print(mle.as_string(schema="newick"))
diff --git a/doc/source/examples/reroot_at_external_edge.py b/doc/source/examples/reroot_at_external_edge.py
deleted file mode 100644
index 7c4b39b..0000000
--- a/doc/source/examples/reroot_at_external_edge.py
+++ /dev/null
@@ -1,19 +0,0 @@
-#! /usr/bin/env python
-
-import dendropy
-
-tree_str = "[&R] (A, (B, (C, (D, E))));"
-
-tree = dendropy.Tree.get(
-        data=tree_str,
-        schema="newick")
-
-print("Before:")
-print(tree.as_string(schema='newick'))
-print(tree.as_ascii_plot())
-node_D = tree.find_node_with_taxon_label("D")
-tree.reroot_at_edge(node_D.edge, update_bipartitions=False)
-print("After:")
-print(tree.as_string(schema='newick'))
-print(tree.as_ascii_plot())
-
diff --git a/doc/source/examples/reroot_at_internal_edge.py b/doc/source/examples/reroot_at_internal_edge.py
deleted file mode 100644
index b637f4d..0000000
--- a/doc/source/examples/reroot_at_internal_edge.py
+++ /dev/null
@@ -1,19 +0,0 @@
-#! /usr/bin/env python
-
-import dendropy
-
-tree_str = "[&R] (A, (B, (C, (D, E))));"
-
-tree = dendropy.Tree.get(
-        data=tree_str,
-        schema="newick")
-
-print("Before:")
-print(tree.as_string(schema='newick'))
-print(tree.as_ascii_plot())
-mrca = tree.mrca(taxon_labels=["D", "E"])
-tree.reroot_at_edge(mrca.edge, update_bipartitions=False)
-print("After:")
-print(tree.as_string(schema='newick'))
-print(tree.as_ascii_plot())
-
diff --git a/doc/source/examples/reroot_at_midpoint.py b/doc/source/examples/reroot_at_midpoint.py
deleted file mode 100644
index 9775f84..0000000
--- a/doc/source/examples/reroot_at_midpoint.py
+++ /dev/null
@@ -1,18 +0,0 @@
-#! /usr/bin/env python
-
-import dendropy
-
-tree_str = "[&R] (A:0.55, (B:0.82, (C:0.74, (D:0.42, E:0.64):0.24):0.15):0.20):0.3;"
-
-tree = dendropy.Tree.get(
-        data=tree_str,
-        schema="newick")
-
-print("Before:")
-print(tree.as_string(schema='newick'))
-print(tree.as_ascii_plot(plot_metric='length'))
-tree.reroot_at_midpoint(update_bipartitions=False)
-print("After:")
-print(tree.as_string(schema='newick'))
-print(tree.as_ascii_plot(plot_metric='length'))
-
diff --git a/doc/source/examples/reroot_at_node.py b/doc/source/examples/reroot_at_node.py
deleted file mode 100644
index 2e02879..0000000
--- a/doc/source/examples/reroot_at_node.py
+++ /dev/null
@@ -1,18 +0,0 @@
-#! /usr/bin/env python
-
-import dendropy
-
-tree_str = "[&R] (A, (B, (C, (D, E))));"
-
-tree = dendropy.Tree.get(
-        data=tree_str,
-        schema="newick")
-
-print("Before:")
-print(tree.as_string(schema='newick'))
-print(tree.as_ascii_plot())
-mrca = tree.mrca(taxon_labels=["D", "E"])
-tree.reroot_at_node(mrca, update_bipartitions=False)
-print("After:")
-print(tree.as_string(schema='newick'))
-print(tree.as_ascii_plot())
diff --git a/doc/source/examples/rescale_tree_length.py b/doc/source/examples/rescale_tree_length.py
deleted file mode 100644
index 5b5b4a4..0000000
--- a/doc/source/examples/rescale_tree_length.py
+++ /dev/null
@@ -1,12 +0,0 @@
-#! /usr/bin/env python
-
-import dendropy
-
-mle = dendropy.Tree.get(path='pythonidae.mle.nex', schema='nexus')
-mle_len = mle.length()
-for edge in mle.postorder_edge_iter():
-    if edge.length is None:
-        edge.length = 0
-    else:
-        edge.length = float(edge.length)/mle_len
-print(mle.as_string(schema="newick"))
diff --git a/doc/source/examples/retain_taxa_with_labels.py b/doc/source/examples/retain_taxa_with_labels.py
deleted file mode 100644
index 641d79c..0000000
--- a/doc/source/examples/retain_taxa_with_labels.py
+++ /dev/null
@@ -1,18 +0,0 @@
-#! /usr/bin/env python
-
-import dendropy
-
-tree_str = "[&R] ((A, (B, (C, (D, E)))),(F, (G, H)));"
-
-tree = dendropy.Tree.get(
-        data=tree_str,
-        schema="newick")
-
-print("Before:")
-print(tree.as_string(schema='newick'))
-print(tree.as_ascii_plot())
-tree.retain_taxa_with_labels(["A", "C", "G"])
-print("After:")
-print(tree.as_string(schema='newick'))
-print(tree.as_ascii_plot())
-
diff --git a/doc/source/examples/seqgen.py b/doc/source/examples/seqgen.py
deleted file mode 100644
index ac8b2b3..0000000
--- a/doc/source/examples/seqgen.py
+++ /dev/null
@@ -1,28 +0,0 @@
-#! /usr/bin/env python
-
-import dendropy
-from dendropy.interop import seqgen
-
-trees = dendropy.TreeList.get(
-        path="pythonidae.mcmc.nex",
-        schema="nexus")
-s = seqgen.SeqGen()
-
-# generate one alignment per tree
-# as substitution model is not specified, defaults to a JC model
-# will result in a DataSet object with one DnaCharacterMatrix per input tree
-d0 = s.generate(trees)
-print(len(d0.char_matrices))
-print(d0.char_matrices[0].as_string("nexus"))
-
-# instruct Seq-Gen to scale branch lengths by factor of 0.1
-# note that this does not modify the input trees
-s.scale_branch_lens = 0.1
-
-# more complex model
-s.char_model = seqgen.SeqGen.GTR
-s.state_freqs = [0.4, 0.4, 0.1, 0.1]
-s.general_rates = [0.8, 0.4, 0.4, 0.2, 0.2, 0.1]
-d1 = s.generate(trees)
-print(len(d0.char_matrices))
-print(d0.char_matrices[0].as_string("nexus"))
diff --git a/doc/source/examples/setroot1.py b/doc/source/examples/setroot1.py
deleted file mode 100644
index d90542e..0000000
--- a/doc/source/examples/setroot1.py
+++ /dev/null
@@ -1,26 +0,0 @@
-import dendropy
-
-tree_str = "[&R] (A, (B, (C, (D, E))));"
-
-tree = dendropy.Tree.get_from_string(
-        tree_str,
-        "newick")
-
-print("Original:")
-print(tree.as_ascii_plot())
-
-tree.is_rooted = False
-print("After `is_rooted=False`:")
-print(tree.as_ascii_plot())
-
-tree.update_bipartitions()
-print("After `update_bipartitions()`:")
-print(tree.as_ascii_plot())
-
-tree2 = dendropy.Tree.get_from_string(
-        tree_str,
-        "newick")
-tree2.is_rooted = False
-tree2.update_bipartitions(suppress_unifurcations=False)
-print("After `update_bipartitions(suppress_unifurcations=False)`:")
-print(tree2.as_ascii_plot())
diff --git a/doc/source/examples/sim_and_count_deepcoal1.py b/doc/source/examples/sim_and_count_deepcoal1.py
deleted file mode 100644
index 69f4279..0000000
--- a/doc/source/examples/sim_and_count_deepcoal1.py
+++ /dev/null
@@ -1,71 +0,0 @@
-#! /usr/bin/env python
-
-import dendropy
-from dendropy.simulate import treesim
-from dendropy.model import reconcile
-
-# simulation parameters and output
-num_reps = 10
-
-# population tree descriptions
-stepwise_tree_str = "[&R](A:120000,(B:80000,(C:40000,D:40000):40000):40000):100000;"
-frag_tree_str = "[&R](A:120000,B:120000,C:120000,D:120000):100000;"
-
-# taxa and trees
-containing_taxa = dendropy.TaxonNamespace()
-stepwise_tree = dendropy.Tree.get(
-        data=stepwise_tree_str,
-        schema="newick",
-        taxon_namespace=containing_taxa)
-frag_tree = dendropy.Tree.get(
-        data=frag_tree_str,
-        schema="newick",
-        taxon_namespace=containing_taxa)
-
-# taxon set association
-genes_to_species = dendropy.TaxonNamespaceMapping.create_contained_taxon_mapping(
-        containing_taxon_namespace=containing_taxa,
-        num_contained=8)
-
-# convert to containing tree
-stepwise_tree = reconcile.ContainingTree(stepwise_tree,
-            contained_taxon_namespace=genes_to_species.domain_taxon_namespace,
-            contained_to_containing_taxon_map=genes_to_species)
-frag_tree = reconcile.ContainingTree(frag_tree,
-            contained_taxon_namespace=genes_to_species.domain_taxon_namespace,
-            contained_to_containing_taxon_map=genes_to_species)
-
-# for each rep
-for rep in range(num_reps):
-    gene_tree1 = treesim.contained_coalescent_tree(containing_tree=stepwise_tree,
-        gene_to_containing_taxon_map=genes_to_species,
-        default_pop_size=40000)
-    stepwise_tree.embed_tree(gene_tree1)
-    gene_tree2 = treesim.contained_coalescent_tree(containing_tree=frag_tree,
-        gene_to_containing_taxon_map=genes_to_species,
-        default_pop_size=40000)
-    frag_tree.embed_tree(gene_tree2)
-
-# write results
-
-# returns dictionary with contained trees as keys
-# and number of deep coalescences as values
-stepwise_deep_coals = stepwise_tree.deep_coalescences()
-stepwise_out = open("stepwise.txt", "w")
-for tree in stepwise_deep_coals:
-    stepwise_out.write("%d\n" % stepwise_deep_coals[tree])
-
-# returns dictionary with contained trees as keys
-# and number of deep coalescences as values
-frag_deep_coals = frag_tree.deep_coalescences()
-frag_out = open("frag.txt", "w")
-for tree in frag_deep_coals:
-    frag_out.write("%d\n" % frag_deep_coals[tree])
-
-
-
-
-
-
-
-
diff --git a/doc/source/examples/sim_and_count_deepcoal2.py b/doc/source/examples/sim_and_count_deepcoal2.py
deleted file mode 100644
index 66e2dd5..0000000
--- a/doc/source/examples/sim_and_count_deepcoal2.py
+++ /dev/null
@@ -1,65 +0,0 @@
-#! /usr/bin/env python
-
-import dendropy
-from dendropy.simulate import treesim
-from dendropy.model import reconcile
-
-# simulation parameters and output
-num_reps = 10
-
-# population tree descriptions
-stepwise_tree_str = "[&R](A:120000,(B:80000,(C:40000,D:40000):40000):40000):100000;"
-frag_tree_str = "[&R](A:120000,B:120000,C:120000,D:120000):100000;"
-
-# taxa and trees
-containing_taxa = dendropy.TaxonNamespace()
-stepwise_tree = dendropy.Tree.get(
-        data=stepwise_tree_str,
-        schema="newick",
-        taxon_namespace=containing_taxa)
-frag_tree = dendropy.Tree.get(
-        data=frag_tree_str,
-        schema="newick",
-        taxon_namespace=containing_taxa)
-
-# taxon set association
-genes_to_species = dendropy.TaxonNamespaceMapping.create_contained_taxon_mapping(
-        containing_taxon_namespace=containing_taxa,
-        num_contained=8)
-
-# convert to containing tree
-stepwise_tree = reconcile.ContainingTree(stepwise_tree,
-            contained_taxon_namespace=genes_to_species.domain_taxon_namespace,
-            contained_to_containing_taxon_map=genes_to_species)
-frag_tree = reconcile.ContainingTree(frag_tree,
-            contained_taxon_namespace=genes_to_species.domain_taxon_namespace,
-            contained_to_containing_taxon_map=genes_to_species)
-
-# for each rep
-for rep in range(num_reps):
-    stepwise_tree.embed_contained_kingman(default_pop_size=40000)
-    frag_tree.embed_contained_kingman(default_pop_size=40000)
-
-# write results
-
-# returns dictionary with contained trees as keys
-# and number of deep coalescences as values
-stepwise_deep_coals = stepwise_tree.deep_coalescences()
-stepwise_out = open("stepwise.txt", "w")
-for tree in stepwise_deep_coals:
-    stepwise_out.write("%d\n" % stepwise_deep_coals[tree])
-
-# returns dictionary with contained trees as keys
-# and number of deep coalescences as values
-frag_deep_coals = frag_tree.deep_coalescences()
-frag_out = open("frag.txt", "w")
-for tree in frag_deep_coals:
-    frag_out.write("%d\n" % frag_deep_coals[tree])
-
-
-
-
-
-
-
-
diff --git a/doc/source/examples/splitfreq.py b/doc/source/examples/splitfreq.py
deleted file mode 100644
index aa8fa68..0000000
--- a/doc/source/examples/splitfreq.py
+++ /dev/null
@@ -1,16 +0,0 @@
-#! /usr/bin/env python
-
-import dendropy
-
-trees = dendropy.TreeList()
-for tree_file in ['pythonidae.mb.run1.t',
-        'pythonidae.mb.run2.t',
-        'pythonidae.mb.run3.t',
-        'pythonidae.mb.run4.t']:
-    trees.read(
-            path=tree_file,
-            schema='nexus',
-            tree_offset=20)
-split_leaves = ['Morelia amethistina', 'Morelia tracyae']
-f = trees.frequency_of_bipartition(labels=split_leaves)
-print('Frequency of split %s: %s' % (split_leaves, f))
diff --git a/doc/source/examples/splits_on_trees.py b/doc/source/examples/splits_on_trees.py
deleted file mode 100644
index 0214361..0000000
--- a/doc/source/examples/splits_on_trees.py
+++ /dev/null
@@ -1,16 +0,0 @@
-#! /usr/bin/env python
-
-import dendropy
-
-labels = ["A","B","C","D","E","F","G","H"]
-taxa = dendropy.TaxonNamespace(labels)
-tree = dendropy.Tree.get(
-        data="((A,(B,(C,D))),((E,F),(G,H)));",
-        schema="newick",
-        taxon_namespace=taxa)
-tree.is_rooted = False
-tree.encode_bipartitions()
-for node in tree:
-    node.label = taxa.bitmask_as_bitstring(node.edge.split_bitmask)
-print(tree.as_ascii_plot(show_internal_node_labels=True,
-    width=40))
diff --git a/doc/source/examples/symdiff1.py b/doc/source/examples/symdiff1.py
deleted file mode 100644
index c676d1e..0000000
--- a/doc/source/examples/symdiff1.py
+++ /dev/null
@@ -1,21 +0,0 @@
-import dendropy
-from dendropy.calculate import treecompare
-
-s1 = "(a,(b,(c,d)));"
-s2 = "(a,(d,(b,c)));"
-
-# establish common taxon namespace
-tns = dendropy.TaxonNamespace()
-
-# ensure all trees loaded use common namespace
-tree1 = dendropy.Tree.get(
-        data=s1,
-        schema='newick',
-        taxon_namespace=tns)
-tree2 = dendropy.Tree.get(
-        data=s2,
-        schema='newick',
-        taxon_namespace=tns)
-
-## Unweighted Robinson-Foulds distance
-print(treecompare.symmetric_difference(tree1, tree2))
diff --git a/doc/source/examples/symdiff2.py b/doc/source/examples/symdiff2.py
deleted file mode 100644
index 1ea4850..0000000
--- a/doc/source/examples/symdiff2.py
+++ /dev/null
@@ -1,37 +0,0 @@
-import dendropy
-from dendropy.calculate import treecompare
-
-s1 = "(a,(b,(c,d)));"
-s2 = "((a,b),(c,d));"
-
-tns = dendropy.TaxonNamespace()
-
-unrooted_tree1 = dendropy.Tree.get(
-        data=s1,
-        schema='newick',
-        taxon_namespace=tns)
-unrooted_tree2 = dendropy.Tree.get(
-        data=s2,
-        schema='newick',
-        taxon_namespace=tns)
-
-rooted_tree1 = dendropy.Tree.get(
-        data=s1,
-        schema='newick',
-        rooting="force-rooted",
-        taxon_namespace=tns)
-rooted_tree2 = dendropy.Tree.get(
-        data=s2,
-        schema='newick',
-        rooting="force-rooted",
-        taxon_namespace=tns)
-
-## Unweighted Robinson-Foulds distance (rooted) = 2
-print(treecompare.symmetric_difference(rooted_tree1, rooted_tree2))
-## Unweighted Robinson-Foulds distance (unrooted) = 0
-print(treecompare.symmetric_difference(unrooted_tree1, unrooted_tree2))
-## Unweighted Robinson-Foulds distance (rooted1 to unrooted2) = 3
-print(treecompare.symmetric_difference(rooted_tree1, unrooted_tree2))
-## Unweighted Robinson-Foulds distance (unrooted1 to rooted2) = 5
-print(treecompare.symmetric_difference(unrooted_tree1, rooted_tree2))
-
diff --git a/doc/source/examples/taxa_mgmt1.py b/doc/source/examples/taxa_mgmt1.py
deleted file mode 100644
index 8b38ce5..0000000
--- a/doc/source/examples/taxa_mgmt1.py
+++ /dev/null
@@ -1,12 +0,0 @@
-import dendropy
-
-tree_str1 = "((A,B),C);"
-
-tree_list = dendropy.TreeList()
-tree_list.read(data=tree_str1, schema="newick")
-print(tree_list.taxon_namespace)
-tree_list.read(data=tree_str1, schema="newick")
-print(tree_list.taxon_namespace)
-for nd1, nd2 in zip(tree_list[0], tree_list[1]):
-    assert nd1.taxon is nd2.taxon # OK
-
diff --git a/doc/source/examples/taxa_mgmt1a.py b/doc/source/examples/taxa_mgmt1a.py
deleted file mode 100644
index 21a2116..0000000
--- a/doc/source/examples/taxa_mgmt1a.py
+++ /dev/null
@@ -1,10 +0,0 @@
-import dendropy
-
-tree_str1 = "((A,B),C);"
-
-tree1 = dendropy.Tree.get(data=tree_str1, schema="newick")
-tree2 = dendropy.Tree.get(data=tree_str1, schema="newick")
-print(tree1.taxon_namespace is  tree2.taxon_namespace) # False
-for nd1, nd2 in zip(tree1, tree2):
-    assert nd1.taxon is nd2.taxon # Assertion Error
-
diff --git a/doc/source/examples/taxa_mgmt1b.py b/doc/source/examples/taxa_mgmt1b.py
deleted file mode 100644
index 435cc83..0000000
--- a/doc/source/examples/taxa_mgmt1b.py
+++ /dev/null
@@ -1,13 +0,0 @@
-import dendropy
-
-tree_str1 = "((A,B),C);"
-
-tree1 = dendropy.Tree.get(data=tree_str1, schema="newick")
-tree2 = dendropy.Tree.get(
-        data=tree_str1,
-        schema="newick",
-        taxon_namespace=tree1.taxon_namespace)
-print(tree1.taxon_namespace is  tree2.taxon_namespace) # True
-for nd1, nd2 in zip(tree1, tree2):
-    assert nd1.taxon is nd2.taxon # OK
-
diff --git a/doc/source/examples/taxa_mgmt2.py b/doc/source/examples/taxa_mgmt2.py
deleted file mode 100644
index 2d35004..0000000
--- a/doc/source/examples/taxa_mgmt2.py
+++ /dev/null
@@ -1,18 +0,0 @@
-import dendropy
-from dendropy.calculate import treecompare
-
-tree_str1 = "((A,B),C);"
-tree_str2 = "((A,B),C);"
-
-ds = dendropy.DataSet()
-ds.read(data=tree_str1, schema="newick")
-ds.read(data=tree_str1, schema="newick")
-
-print(len(ds.taxon_namespaces))
-print(ds.tree_lists[0].taxon_namespace is ds.tree_lists[1].taxon_namespace)
-print(ds.tree_lists[0].taxon_namespace[0] is ds.tree_lists[1].taxon_namespace[0])
-
-# Results in:
-# 2
-# False
-# False
diff --git a/doc/source/examples/taxa_mgmt3.py b/doc/source/examples/taxa_mgmt3.py
deleted file mode 100644
index 619314c..0000000
--- a/doc/source/examples/taxa_mgmt3.py
+++ /dev/null
@@ -1,42 +0,0 @@
-import dendropy
-from dendropy.calculate import treecompare
-
-tree_str1 = "((A,B),C);"
-tree_str2 = "((A,B),C);"
-
-ds2 = dendropy.DataSet()
-ds2.read(data=tree_str1, schema="newick")
-ds2.read(
-        data=tree_str1,
-        schema="newick",
-        taxon_namespace=ds2.tree_lists[0].taxon_namespace)
-
-print(len(ds2.taxon_namespaces))
-print(ds2.tree_lists[0].taxon_namespace is ds2.tree_lists[1].taxon_namespace)
-print(ds2.tree_lists[0].taxon_namespace[0] is ds2.tree_lists[1].taxon_namespace[0])
-
-# Results in:
-# 1
-# True
-# True
-
-ds2 = dendropy.DataSet()
-tns = ds2.new_taxon_namespace()
-ds2.read(
-        data=tree_str1,
-        schema="newick",
-        taxon_namespace=tns)
-ds2.read(
-        data=tree_str1,
-        schema="newick",
-        taxon_namespace=tns)
-
-print(len(ds2.taxon_namespaces))
-print(ds2.tree_lists[0].taxon_namespace is ds2.tree_lists[1].taxon_namespace)
-print(ds2.tree_lists[0].taxon_namespace[0] is ds2.tree_lists[1].taxon_namespace[0])
-
-# Results in:
-# 1
-# True
-# True
-
diff --git a/doc/source/examples/taxa_mgmt4.py b/doc/source/examples/taxa_mgmt4.py
deleted file mode 100644
index 73cc004..0000000
--- a/doc/source/examples/taxa_mgmt4.py
+++ /dev/null
@@ -1,18 +0,0 @@
-import dendropy
-from dendropy.calculate import treecompare
-
-tree_str1 = "((A,B),C);"
-
-tree_list1 = dendropy.TreeList()
-tree_list1.read(data=tree_str1, schema="newick")
-tree_list2 = dendropy.TreeList()
-tree_list2.read(data=tree_str1, schema="newick")
-
-for taxon in tree_list1.taxon_namespace:
-    if taxon in tree_list2.taxon_namespace:
-        # this branch is never visited
-        print("Taxon '{}': found in both trees".format(taxon.label))
-
-## Following will result in:
-## dendropy.utility.error.TaxonNamespaceIdentityError: Non-identical taxon namespace references: ...
-# print(treecompare.symmetric_difference(tree_list1[0], tree_list2[0]))
diff --git a/doc/source/examples/taxa_mgmt5.py b/doc/source/examples/taxa_mgmt5.py
deleted file mode 100644
index 233d2ae..0000000
--- a/doc/source/examples/taxa_mgmt5.py
+++ /dev/null
@@ -1,12 +0,0 @@
-import dendropy
-from dendropy.calculate import treecompare
-
-tree_str1 = "((A,B),C);"
-
-tree_list1 = dendropy.TreeList()
-tree_list1.read(data=tree_str1, schema="newick")
-tree_list2 = dendropy.TreeList(taxon_namespace=tree_list1.taxon_namespace)
-tree_list2.read(data=tree_str1, schema="newick")
-
-# Results in: 0
-print(treecompare.symmetric_difference(tree_list1[0], tree_list2[0]))
diff --git a/doc/source/examples/taxon_labels1.py b/doc/source/examples/taxon_labels1.py
deleted file mode 100644
index 31be63f..0000000
--- a/doc/source/examples/taxon_labels1.py
+++ /dev/null
@@ -1,35 +0,0 @@
-#! /usr/bin/env python
-
-import dendropy
-
-nexus1 = """
-#NEXUS
-
-begin taxa;
-    dimensions ntax=2;
-    taxlabels Python_regius Python_sebae;
-end;
-
-begin characters;
-    dimensions nchar=5;
-    format datatype=dna gap=- missing=? matchchar=.;
-    matrix
-        Python_regius ACGTA
-        Python_sebae   ACGTA
-    ;
-end;
-"""
-
-fasta1 = """
->Python_regius
-AAAA
->Python_sebae
-ACGT
-"""
-
-d = dendropy.DataSet()
-tns = d.new_taxon_namespace()
-d.attach_taxon_namespace(tns)
-d.read(data=nexus1, schema="nexus")
-d.read(data=fasta1, schema="dnafasta")
-print(d.taxon_namespaces[0].description(2))
diff --git a/doc/source/examples/taxon_labels2.py b/doc/source/examples/taxon_labels2.py
deleted file mode 100644
index 7f182f6..0000000
--- a/doc/source/examples/taxon_labels2.py
+++ /dev/null
@@ -1,35 +0,0 @@
-#! /usr/bin/env python
-
-import dendropy
-
-nexus1 = """
-#NEXUS
-
-begin taxa;
-    dimensions ntax=2;
-    taxlabels 'Python regius' 'Python sebae';
-end;
-
-begin characters;
-    dimensions nchar=5;
-    format datatype=dna gap=- missing=? matchchar=.;
-    matrix
-        'Python regius' ACGTA
-        'Python sebae'   ACGTA
-    ;
-end;
-"""
-
-fasta1 = """
->Python regius
-AAAA
->Python sebae
-ACGT
-"""
-
-d = dendropy.DataSet()
-tns = d.new_taxon_namespace()
-d.attach_taxon_namespace(tns)
-d.read(data=nexus1, schema="nexus")
-d.read(data=fasta1, schema="fasta", data_type="dna")
-print(d.taxon_namespaces[0].description(2))
diff --git a/doc/source/examples/taxon_labels2b.py b/doc/source/examples/taxon_labels2b.py
deleted file mode 100644
index 9a8ad6e..0000000
--- a/doc/source/examples/taxon_labels2b.py
+++ /dev/null
@@ -1,35 +0,0 @@
-#! /usr/bin/env python
-
-import dendropy
-
-nexus1 = """
-#NEXUS
-
-begin taxa;
-    dimensions ntax=2;
-    taxlabels Python_regius Python_sebae;
-end;
-
-begin characters;
-    dimensions nchar=5;
-    format datatype=dna gap=- missing=? matchchar=.;
-    matrix
-        Python_regius ACGTA
-        Python_sebae   ACGTA
-    ;
-end;
-"""
-
-fasta1 = """
->Python regius
-AAAA
->Python sebae
-ACGT
-"""
-
-d = dendropy.DataSet()
-tns = d.new_taxon_namespace()
-d.attach_taxon_namespace(tns)
-d.read(data=nexus1, schema="nexus")
-d.read(data=fasta1, schema="fasta", data_type="dna")
-print(d.taxon_namespaces[0].description(2))
diff --git a/doc/source/examples/taxon_labels3.py b/doc/source/examples/taxon_labels3.py
deleted file mode 100644
index 46eb07f..0000000
--- a/doc/source/examples/taxon_labels3.py
+++ /dev/null
@@ -1,35 +0,0 @@
-#! /usr/bin/env python
-
-import dendropy
-
-nexus1 = """
-#NEXUS
-
-begin taxa;
-    dimensions ntax=2;
-    taxlabels 'Python_regius' 'Python_sebae';
-end;
-
-begin characters;
-    dimensions nchar=5;
-    format datatype=dna gap=- missing=? matchchar=.;
-    matrix
-        'Python_regius' ACGTA
-        'Python_sebae'   ACGTA
-    ;
-end;
-"""
-
-fasta1 = """
->Python_regius
-AAAA
->Python_sebae
-ACGT
-"""
-
-d = dendropy.DataSet()
-tns = d.new_taxon_namespace()
-d.attach_taxon_namespace(tns)
-d.read(data=nexus1, schema="nexus")
-d.read(data=fasta1, schema="fasta", data_type="dna")
-print(d.taxon_namespaces[0].description(2))
diff --git a/doc/source/examples/taxon_labels4.py b/doc/source/examples/taxon_labels4.py
deleted file mode 100644
index ef91f4c..0000000
--- a/doc/source/examples/taxon_labels4.py
+++ /dev/null
@@ -1,36 +0,0 @@
-#! /usr/bin/env python
-
-import dendropy
-
-nexus1 = """
-#NEXUS
-
-begin taxa;
-    dimensions ntax=2;
-    taxlabels Python_regius Python_sebae;
-end;
-
-begin characters;
-    dimensions nchar=5;
-    format datatype=dna gap=- missing=? matchchar=.;
-    matrix
-        Python_regius ACGTA
-        Python_sebae   ACGTA
-    ;
-end;
-"""
-
-fasta1 = """
->Python_regius
-AAAA
->Python_sebae
-ACGT
-"""
-
-d = dendropy.DataSet()
-tns = d.new_taxon_namespace()
-d.attach_taxon_namespace(tns)
-d.read(data=nexus1, schema="nexus", preserve_underscores=True)
-d.read(data=fasta1, schema="fasta", data_type="dna")
-print(d.taxon_namespaces[0].description(2))
-
diff --git a/doc/source/examples/to_outgroup_position.py b/doc/source/examples/to_outgroup_position.py
deleted file mode 100644
index da63032..0000000
--- a/doc/source/examples/to_outgroup_position.py
+++ /dev/null
@@ -1,18 +0,0 @@
-#! /usr/bin/env python
-
-import dendropy
-
-tree_str = "[&R] (A, (B, (C, (D, E))));"
-
-tree = dendropy.Tree.get(
-    data=tree_str,
-    schema="newick")
-
-print("Before:")
-print(tree.as_string(schema='newick'))
-print(tree.as_ascii_plot())
-outgroup_node = tree.find_node_with_taxon_label("C")
-tree.to_outgroup_position(outgroup_node, update_bipartitions=False)
-print("After:")
-print(tree.as_string(schema='newick'))
-print(tree.as_ascii_plot())
diff --git a/doc/source/examples/tree_copy1.py b/doc/source/examples/tree_copy1.py
deleted file mode 100644
index d8987a6..0000000
--- a/doc/source/examples/tree_copy1.py
+++ /dev/null
@@ -1,26 +0,0 @@
-import dendropy
-
-# original list
-s1 = "(A,(B,C));"
-tree1 = dendropy.Tree.get(
-        data=s1,
-        schema="newick")
-
-# taxon namespace-scoped deep copy by calling Tree.clone(1)
-# I.e. Everything cloned, but with Taxon and TaxonNamespace references shared
-tree2 = tree1.clone(depth=1)
-
-# taxon namespace-scoped deep copy by copy-construction
-# I.e. Everything cloned, but with Taxon and TaxonNamespace references shared
-tree3 = dendropy.Tree(tree1)
-
-# *different* tree instances, with different nodes and edges
-for nd1, nd2, nd3 in zip(tree1, tree2, tree3):
-    assert nd1 is not nd2
-    assert nd1 is not nd3
-    assert nd2 is not nd3
-
-# Note: TaxonNamespace is still shared
-# I.e. Everything cloned, but with Taxon and TaxonNamespace references shared
-assert tree2.taxon_namespace is tree1.taxon_namespace
-assert tree3.taxon_namespace is tree1.taxon_namespace
diff --git a/doc/source/examples/tree_copy2.py b/doc/source/examples/tree_copy2.py
deleted file mode 100644
index 98fdec5..0000000
--- a/doc/source/examples/tree_copy2.py
+++ /dev/null
@@ -1,23 +0,0 @@
-import copy
-import dendropy
-
-# original list
-s1 = "(A,(B,C));"
-tree1 = dendropy.Tree.get(
-        data=s1,
-        schema="newick")
-
-# Full deep copy by calling copy.deepcopy()
-# I.e. Everything cloned including Taxon and TaxonNamespace instances
-tree2 = copy.deepcopy(tree1)
-
-# *different* tree instances
-for nd1, nd2 in zip(tree1, tree2):
-    assert nd1 is not nd2
-
-# Note: TaxonNamespace is also different
-assert tree2.taxon_namespace is not tree1.taxon_namespace
-for tx1 in tree1.taxon_namespace:
-    assert tx1 not in tree2.taxon_namespace
-for tx2 in tree2.taxon_namespace:
-    assert tx2 not in tree1.taxon_namespace
diff --git a/doc/source/examples/tree_evolve_char1.py b/doc/source/examples/tree_evolve_char1.py
deleted file mode 100644
index fb522b3..0000000
--- a/doc/source/examples/tree_evolve_char1.py
+++ /dev/null
@@ -1,20 +0,0 @@
-#! /usr/bin/env python
-
-import random
-import dendropy
-
-def process_node(node, start=1.0):
-    if node.parent_node is None:
-        node.value = start
-    else:
-        node.value = random.gauss(node.parent_node.value, node.edge.length)
-    for child in node.child_nodes():
-        process_node(child)
-    if node.taxon is not None:
-        print("%s : %s" % (node.taxon, node.value))
-
-mle = dendropy.Tree.get(
-    path='pythonidae.mle.nex',
-    schema='nexus')
-process_node(mle.seed_node)
-
diff --git a/doc/source/examples/tree_evolve_char2.py b/doc/source/examples/tree_evolve_char2.py
deleted file mode 100644
index 912d9b4..0000000
--- a/doc/source/examples/tree_evolve_char2.py
+++ /dev/null
@@ -1,19 +0,0 @@
-#! /usr/bin/env python
-
-import random
-import dendropy
-
-def evolve_char(tree, start=1.0):
-    for node in tree.preorder_node_iter():
-        if node.parent_node is None:
-            node.value = 1.0
-        else:
-            node.value = random.gauss(node.parent_node.value, node.edge.length)
-    return tree
-
-mle = dendropy.Tree.get(
-        path='pythonidae.mle.nex',
-        schema='nexus')
-evolve_char(mle)
-for node in mle.leaf_iter():
-    print("%s : %s" % (node.taxon, node.value))
diff --git a/doc/source/examples/tree_iter1.py b/doc/source/examples/tree_iter1.py
deleted file mode 100644
index d96d07b..0000000
--- a/doc/source/examples/tree_iter1.py
+++ /dev/null
@@ -1,30 +0,0 @@
-#! /usr/bin/env python
-
-import dendropy
-from dendropy.calculate import treecompare
-
-distances = []
-taxa = dendropy.TaxonNamespace()
-mle_tree = dendropy.Tree.get(
-    path='pythonidae.mle.nex',
-    schema='nexus',
-    taxon_namespace=taxa)
-burnin = 20
-source_files = [
-        open("pythonidae.mcmc1.nex", "r"), # Note: for 'Tree.yield_from_files',
-        open("pythonidae.mcmc2.nex", "r"), # sources can be specified as file
-        "pythonidae.mcmc3.nex", "r",       # objects or strings, with strings
-        "pythonidae.mcmc4.nex", "r",       # assumed to specify file paths
-        ]
-tree_yielder = dendropy.Tree.yield_from_files(
-        files=source_files,
-        schema='nexus',
-        taxon_namespace=taxa,
-        )
-for tree_idx, mcmc_tree in enumerate(tree_yielder):
-    if tree_idx < burnin:
-        # skip burnin
-        continue
-    distances.append(treecompare.symmetric_difference(mle_tree, mcmc_tree))
-print("Mean symmetric distance between MLE and MCMC trees: %d"
-        % float(sum(distances)/len(distances)))
diff --git a/doc/source/examples/tree_iter2.py b/doc/source/examples/tree_iter2.py
deleted file mode 100644
index 8dee882..0000000
--- a/doc/source/examples/tree_iter2.py
+++ /dev/null
@@ -1,22 +0,0 @@
-#! /usr/bin/env python
-
-import dendropy
-from dendropy.calculate import treecompare
-
-distances = []
-taxa = dendropy.TaxonNamespace()
-mle_tree = dendropy.Tree.get(
-    path='pythonidae.mle.nex',
-    schema='nexus',
-    taxon_namespace=taxa)
-mcmc_tree_file_paths = ['pythonidae.mb.run1.t',
-        'pythonidae.mb.run2.t',
-        'pythonidae.mb.run3.t',
-        'pythonidae.mb.run4.t']
-for mcmc_tree in dendropy.Tree.yield_from_files(
-        files=mcmc_tree_file_paths,
-        schema='nexus',
-        taxon_namespace=taxa):
-    distances.append(treecompare.symmetric_difference(mle_tree, mcmc_tree))
-print("Mean symmetric distance between MLE and MCMC trees: %d"
-        % float(sum(distances)/len(distances)))
diff --git a/doc/source/examples/tree_length_crit.py b/doc/source/examples/tree_length_crit.py
deleted file mode 100644
index b05a2e9..0000000
--- a/doc/source/examples/tree_length_crit.py
+++ /dev/null
@@ -1,14 +0,0 @@
-#! /usr/bin/env python
-
-import dendropy
-
-trees = dendropy.TreeList.get(
-    path="pythonidae.random.bd0301.tre",
-    schema="nexus")
-tree_lengths = [tree.length() for tree in trees]
-tree_lengths.sort()
-crit_index_95 = int(0.95 * len(tree_lengths))
-crit_index_99 = int(0.99 * len(tree_lengths))
-
-print("95%% critical value: %s" % tree_lengths[crit_index_95])
-print("99%% critical value: %s" % tree_lengths[crit_index_99])
diff --git a/doc/source/examples/tree_list_add1.py b/doc/source/examples/tree_list_add1.py
deleted file mode 100644
index c24963c..0000000
--- a/doc/source/examples/tree_list_add1.py
+++ /dev/null
@@ -1,6 +0,0 @@
-import dendropy
-
-trees = dendropy.TreeList()
-trees.read(path="sometrees.nex", schema="nexus", tree_offset=10)
-trees.read(data="(A,(B,C));((A,B),C);", schema="newick")
-
diff --git a/doc/source/examples/tree_list_copy1.py b/doc/source/examples/tree_list_copy1.py
deleted file mode 100644
index f92afe0..0000000
--- a/doc/source/examples/tree_list_copy1.py
+++ /dev/null
@@ -1,24 +0,0 @@
-import dendropy
-
-# original list
-s1 = "(A,(B,C));(B,(A,C));(C,(A,B));"
-treelist1 = dendropy.TreeList.get(
-        data=s1,
-        schema="newick")
-
-# shallow copy by calling Tree.clone(0)
-treelist2 = treelist1.clone(depth=0)
-
-# shallow copy by slicing
-treelist3 = treelist1[:]
-
-# same tree instances are shared
-for t1, t2 in zip(treelist1, treelist2):
-    assert t1 is t2
-for t1, t2 in zip(treelist1, treelist3):
-    assert t1 is t2
-
-# note: (necessarily) sharing same TaxonNamespace
-assert treelist2.taxon_namespace is treelist1.taxon_namespace
-assert treelist3.taxon_namespace is treelist1.taxon_namespace
-
diff --git a/doc/source/examples/tree_list_copy2.py b/doc/source/examples/tree_list_copy2.py
deleted file mode 100644
index f774caf..0000000
--- a/doc/source/examples/tree_list_copy2.py
+++ /dev/null
@@ -1,26 +0,0 @@
-import dendropy
-
-# original list
-s1 = "(A,(B,C));(B,(A,C));(C,(A,B));"
-treelist1 = dendropy.TreeList.get(
-        data=s1,
-        schema="newick")
-
-# taxon namespace-scoped deep copy by calling Tree.clone(1)
-# I.e. Everything cloned, but with Taxon and TaxonNamespace references shared
-treelist2 = treelist1.clone(depth=1)
-
-# taxon namespace-scoped deep copy by copy-construction
-# I.e. Everything cloned, but with Taxon and TaxonNamespace references shared
-treelist3 = dendropy.TreeList(treelist1)
-
-# *different* tree instances
-for t1, t2, t3 in zip(treelist1, treelist2, treelist3):
-    assert t1 is not t2
-    assert t1 is not t3
-    assert t2 is not t3
-
-# Note: TaxonNamespace is still shared
-# I.e. Everything cloned, but with Taxon and TaxonNamespace references shared
-assert treelist2.taxon_namespace is treelist1.taxon_namespace
-assert treelist3.taxon_namespace is treelist1.taxon_namespace
diff --git a/doc/source/examples/tree_list_copy3.py b/doc/source/examples/tree_list_copy3.py
deleted file mode 100644
index faffb34..0000000
--- a/doc/source/examples/tree_list_copy3.py
+++ /dev/null
@@ -1,23 +0,0 @@
-import copy
-import dendropy
-
-# original list
-s1 = "(A,(B,C));(B,(A,C));(C,(A,B));"
-treelist1 = dendropy.TreeList.get(
-        data=s1,
-        schema="newick")
-
-# Full deep copy by calling copy.deepcopy()
-# I.e. Everything cloned including Taxon and TaxonNamespace instances
-treelist2 = copy.deepcopy(treelist)
-
-# *different* tree instances
-for t1, t2 in zip(treelist1, treelist2):
-    assert t1 is not t2
-
-# Note: TaxonNamespace is also different
-assert treelist2.taxon_namespace is not treelist1.taxon_namespace
-for tx1 in treelist1.taxon_namespace:
-    assert tx1 not in treelist2.taxon_namespace
-for tx2 in treelist2.taxon_namespace:
-    assert tx2 not in treelist1.taxon_namespace
diff --git a/doc/source/examples/tree_list_ops1.py b/doc/source/examples/tree_list_ops1.py
deleted file mode 100644
index 12361b0..0000000
--- a/doc/source/examples/tree_list_ops1.py
+++ /dev/null
@@ -1,38 +0,0 @@
-import dendropy
-from dendropy.calculate import treecompare
-
-trees = dendropy.TreeList.get(
-        path="pythonidae.random.bd0301.tre",
-        schema="nexus")
-
-for tree in trees:
-    print(tree.as_string("newick"))
-
-print(len(trees))
-
-print(trees[4].as_string("nexus"))
-print(treecompare.robinson_foulds_distance(trees[0], trees[1]))
-print(treecompare.weighted_robinson_foulds_distance(trees[0], trees[1]))
-
-first_10_trees = trees[:10]
-last_10_trees = trees[-10:]
-
-# Note that the TaxonNamespace is propogated to slices
-assert first_10_trees.taxon_namespace is trees.taxon_namespace
-assert first_10_trees.taxon_namespace is trees.taxon_namespace
-
-
-print(id(trees[4]))
-print(id(trees[5]))
-trees[4] = trees[5]
-print(id(trees[4]))
-print(id(trees[5]))
-print(trees[4] in trees)
-
-trees.remove(trees[-1])
-tx = trees.pop()
-print(trees.index(trees[0]))
-
-trees.sort(key=lambda t:t.label)
-trees.reverse()
-trees.clear()
diff --git a/doc/source/examples/tree_list_ops2.py b/doc/source/examples/tree_list_ops2.py
deleted file mode 100644
index 05fd60e..0000000
--- a/doc/source/examples/tree_list_ops2.py
+++ /dev/null
@@ -1,28 +0,0 @@
-import dendropy
-from dendropy.calculate import treecompare
-
-trees = dendropy.TreeList.get(
-        path="pythonidae.random.bd0301.tre",
-        schema="nexus")
-
-print(len(trees))
-
-tree = dendropy.Tree.get(path="pythonidae.mle.nex", schema="nexus")
-
-# As we did not specify a |TaxonNamespace| instance to use above, by default
-# 'tree' will get its own, distinct |TaxonNamespace|
-original_tree_taxon_namespace = tree.taxon_namespace
-print(id(original_tree_taxon_namespace))
-assert tree.taxon_namespace is not trees.taxon_namespace
-
-# This operation adds the |Tree|, 'tree', to the |TreeList|, 'trees',
-# *and* migrates the |Taxon| objects of the tree over to the |TaxonNamespace|
-# of 'trees'. This will break things if the tree is contained in another
-# |TreeList| with a different |TaxonNamespace|!
-trees.append(tree)
-
-# In contrast to before, the |TaxonNamespace| of 'tree' is not the same
-# as the |TaxonNamespace| of 'trees. The |Taxon| objects have been imported
-# and/or remapped based on their label.
-assert tree.taxon_namespace is trees.taxon_namespace
-print(id(original_tree_taxon_namespace))
diff --git a/doc/source/examples/tree_rootings1.py b/doc/source/examples/tree_rootings1.py
deleted file mode 100644
index ae199c7..0000000
--- a/doc/source/examples/tree_rootings1.py
+++ /dev/null
@@ -1,36 +0,0 @@
-#! /usr/bin/env python
-
-import dendropy
-
-# tree assumed to be unrooted unless '[&R]' is specified
-tree = dendropy.Tree.get(path="pythonidae.mle.nex", schema="nexus")
-
-# same as above, explicit
-tree = dendropy.Tree.get(
-        path="pythonidae.mle.nex",
-        schema="nexus",
-        rooting="default-unrooted",
-        )
-
-# forces tree to be rooted
-tree = dendropy.Tree.get(path="pythonidae.mle.nex",
-        schema="nexus",
-        rooting="force-rooted")
-
-# forces tree to be unrooted
-tree = dendropy.Tree.get(path="pythonidae.mle.nex",
-        schema="nexus",
-        rooting="force-unrooted")
-
-# forces trees to be rooted
-tree_list = dendropy.TreeList.get(
-        path="pythonidae.mcmc.nex",
-        schema="nexus",
-        rooting="force-rooted")
-
-# forces trees to default to rooted, unless '[&U]' is specified
-tree_list = dendropy.TreeList()
-tree_list.read(
-    path="pythonidae.mcmc.nex",
-    schema="nexus",
-    rooting="default-rooted")
diff --git a/doc/source/examples/treemeasures1.py b/doc/source/examples/treemeasures1.py
deleted file mode 100644
index 4bfa005..0000000
--- a/doc/source/examples/treemeasures1.py
+++ /dev/null
@@ -1,30 +0,0 @@
-import collections
-import dendropy
-from dendropy.calculate import treemeasure
-from dendropy.calculate import statistics
-
-# Since we do not want to waste memory by keeping the actual trees around
-# after we are done calculating the statistics, we use the tree yielder
-# instead of:
-#       dendropy.TreeList.get(
-#           path="pythonidae.beast-mcmc.trees",
-#           schema="nexus",
-#           tree_offset=200)
-
-tree_stats = collections.defaultdict(list)
-for tree_idx, tree in enumerate(dendropy.Tree.yield_from_files(
-            files=["pythonidae.beast-mcmc.trees"],
-            schema="nexus")):
-    if tree_idx < 200:
-        continue # burnin
-    tree_stats["B1"].append(treemeasure.B1(tree))
-    tree_stats["colless"].append(treemeasure.colless_tree_imbalance(tree))
-    tree_stats["PBH"].append(treemeasure.pybus_harvey_gamma(tree))
-    tree_stats["sackin"].append(treemeasure.sackin_index(tree))
-    tree_stats["treeness"].append(treemeasure.treeness(tree))
-
-for key in tree_stats:
-    values = tree_stats[key]
-    mean, var = statistics.mean_and_sample_variance(values)
-    hpd = statistics.empirical_hpd(values)
-    print("{:15}: mean = {}, variance = {}, hpd = ({}, {})".format(key, mean, var, hpd[0], hpd[1]))
diff --git a/doc/source/examples/weightedrf1.py b/doc/source/examples/weightedrf1.py
deleted file mode 100644
index c1c8e60..0000000
--- a/doc/source/examples/weightedrf1.py
+++ /dev/null
@@ -1,22 +0,0 @@
-import dendropy
-from dendropy.calculate import treecompare
-
-s1 = "((t5:0.161175,t6:0.161175):0.392293,((t4:0.104381,(t2:0.075411,t1:0.075411):0.028969):0.065840,t3:0.170221):0.383247);"
-s2 = "((t5:2.161175,t6:0.161175):0.392293,((t4:0.104381,(t2:0.075411,t1:0.075411):1):0.065840,t3:0.170221):0.383247);"
-
-tns = dendropy.TaxonNamespace()
-
-tree1 = dendropy.Tree.get(
-        data=s1,
-        schema='newick',
-        taxon_namespace=tns)
-tree2 = dendropy.Tree.get(
-        data=s2,
-        schema='newick',
-        taxon_namespace=tns)
-
-## Weighted Robinson-Foulds distance = 2.971031
-print(treecompare.weighted_robinson_foulds_distance(tree1, tree2))
-
-## Compare to unweighted Robinson-Foulds distance: 0
-print(treecompare.symmetric_difference(tree1, tree2))
diff --git a/doc/source/glossary.rst b/doc/source/glossary.rst
deleted file mode 100644
index 2e72b9d..0000000
--- a/doc/source/glossary.rst
+++ /dev/null
@@ -1,310 +0,0 @@
-*************************************
-Glossary and Terminological Reference
-*************************************
-
-.. glossary::
-    :sorted:
-
-    ancestor nodes
-        On a :term:`tree`, the full set of :term:`nodes <node>` from which a
-        given :term:`node <node>` has descended (i.e., the given node's parent,
-        parent's parent, parent's parent's parent, and so on until the
-        :term:`root <seed node>` or the :term:`seed node` of the tree, inclusive).
-
-    basal
-    basal node
-        On a :term:`tree`, a :term:`node` that is ancestral with respect to
-        another node. :term:`Leaf or tip nodes <leaf node>` can never be basal,
-        except if the tree consists of only a single node (i.e., the
-        :term:`seed node` is a :term:`leaf node`). The basal-most node of a
-        tree is the :term:`seed or root node <seed node>`.
-
-    basal bifurcation
-        On a :term:`tree`, a :term:`seed or root <seed node>` which has exactly
-        two :term:`child nodes <child node>`. On a :term:`rooted tree <rooted
-        tree>` this (can) reflect actual information, but on an :term:`unrooted
-        tree <unrooted tree>`, this is actually an artifact, as the :term:`seed
-        or root <seed node>` does not actually exist as it is just an
-        algorithmic contrivance. In practical terms, this means that
-        :term:`bipartition <bipartition>` calculations and operations on
-        :term:`unrooted trees <unrooted tree>` with basal bifurcations may
-        result in undetermined and errorenous behavior. Thus, typically, on
-        unrooted trees the basal bifurcation is collapsed to yield a basal
-        trifurcation.
-
-    basal trifurcation
-        On a :term:`tree`, a :term:`seed or root <seed node>` which has exactly
-        three :term:`child nodes <child node>`. While this might occur in both
-        :term:`rooted <rooted tree>` and :term:`unrooted <unrooted tree>` trees,
-        this is typically the result of :term:`collapsing a basal bifurcation
-        <basal bifurcation>` on :term:`unrooted trees <unrooted tree>`.
-
-    bifurcation
-    bifurcating node
-        On a :term:`tree`, a :term:`node` with exactly two :term:`child nodes
-        <child node>`. Also known as an "out-degree two" node.
-
-    bifurcating tree
-        A :term:`tree` in which all :term:`nodes <node>` are :term:`bifurcating
-        <bifurcation>`.
-
-    bipartition
-    split
-        On a :term:`tree`, a partition of the leaf set of a tree into two
-        mutually-exclusive and collectively-comprehensive subsets. It
-        corresponds to an edge of a tree: if we imagine "splitting" or cutting
-        a tree into two trees at a given edge, the leaf sets of each of the new
-        trees form the two subsets of the partitioning. A bipartition is often
-        referred to as a split, especially in the context of :term:`unrooted trees
-        <unrooted tree>`. Bipartitions are described in detail in
-        the :doc:`DendroPy Primer <primer/bipartitions>`.
-
-    child node
-        On a :term:`tree`, a :term:`node` descending from another :term:`node`.
-        A node on a tree may have zero or more child nodes. A node with zero
-        child nodes is termed a :term:`leaf node`.
-
-    descendent nodes
-        On a :term:`tree`, the full set of nodes that are descended from a
-        given node (i.e., the given node's children and children's children and
-        children's children's children, and so on, until the :term:`leaf nodes
-        <leaf node>` of the tree, inclusive).
-
-    edge
-    branch
-        A connection between two :term:`nodes <node>` on a :term:`tree`,
-        modeled in DendroPy by the |Edge| class. A synonym for "branch" in the
-        context of phylogenetic trees.
-
-        An edge connects a "tail node" (also called an origin or source node)
-        to a "head node" (also called a target or destination node). The tail
-        node is called the ":term:`parent <parent node>`" of the head node,
-        while the head node is called the ":term:`child <child node>`" of the
-        tail node.
-
-        An edge is said to subtend or be incident to the node *to* which an
-        edge connects, i.e., the head node.
-        Conversely, the edges connecting a node to its children are called
-        outgoing edges with respect to the tail node.
-
-        On a :term:`tree`, every node has one and exactly one incident edge,
-        and every edge has a :term:`head node`. On the other hand, not every
-        node may have outgoing edges (e.g, :term:`leaf nodes <leaf node>`),
-        and not every edge has a :term:`tail node` (e.g., :term:`root nodes
-        <seed node>`). As such, edges can be thought of "belonging" to their
-        head nodes, due to this one-to-one relationship.
-
-        Edges can have any number of properties or attributes associated with
-        them, representing a diverse range of phenomena, but the most important
-        one is the edge :term:`length or weight <edge length>`.
-
-    edge length
-    edge weight
-        A (typically) quantitative value associated with an :term:`edge`. This
-        value may represent any number of things, but most typically is used to
-        model time, evolutionary distance, or expected rates of substitution on
-        a phylogenetic tree. An :term:`edge` may have many values, quantitative
-        or otherwise, associated with it, but the length or weight is special
-        as it usually denotes the relationship between the :term:`tail node`
-        and :term:`head node` related by an :term:`edge`.
-
-    incident edge
-    subtending edge
-        An :term:`edge` that connects *to* a particular :term:`node` is termed
-        the incident or subtending edge of that node.
-
-    internal edge
-        An :term:`edge` that has an :term:`internal node` as a :term:`head
-        node`.
-
-    internal node
-        A :term:`node` that has :term:`child nodes <child node>`. Also known as
-        an inner node or branch node.
-
-    head node
-    target node
-    destination node
-        On an :term:`edge` connecting two :term:`nodes <node>`, the node *to*
-        which the edge extends to link *from* the other node, termed the
-        :term:`tail node`. The head node is the :term:`child node` of the
-        :term:`tail node`,  and the :term:`tail node` is the :term:`parent
-        node` of the head node. The :term:`edge` is said to subtend, or be
-        incident, to the head node.
-
-    leaf edge
-    terminal edge
-    external edge
-    outer edge
-        An :term:`edge` that has an :term:`leaf node` as a :term:`head
-        node`.
-
-    leaf node
-    tip node
-    terminal node
-    external node
-    outer node
-        A :term:`node` that does not have any :term:`child nodes <child node>`
-        descending from it. Also known as a tip, outer node, external node, or
-        terminal node.
-
-    node
-        An fundamental element of information or data on a :term:`tree`,
-        connected to other such elements in a parent-child relationshop by
-        :term:`edges <edge>`.
-        In DendroPy, a node is modeled by the |Node| class.
-        A node has at most one :term:`parent <parent node>`, to which it is
-        connected by its :term:`incident or subtending <incident edge>` edge.
-        A node may have zero or more :term:`children <child node>`, to each of
-        which it is connected by an independent :term:`outgoing edge <outgoing
-        edge>` edge.
-        A node can be associated with zero or more informational or data
-        values. In a phylogenetic :term:`tree`, one of these values is often a
-        :term:`taxon`, but many other aspects of information can be modeled.
-
-    node depth
-        On a :term:`tree`, the depth of a node is the length of the
-        :term:`path` to its :term:`root <seed node>` (i.e., its root path). The
-        root node has a depth zero.
-
-    outgoing edge
-        An :term:`edge` that connects *from* a particular :term:`node` (to,
-        e.g., its :term:`children <child node>` is said to be an outgoing edge
-        for that node.
-
-    parent node
-    ancestor node
-        On a :term:`tree`, a :term:`node` from which a given node
-        immediately descends.
-
-    seed node
-    root node
-        The first or topmost :term:`node` in a tree. This is also more commonly
-        called the "root" or "root node" of the tree, though, in the strictest
-        sense, this equivalence is only valid when the tree is explicitly
-        :term:`rooted <rooted tree>`. Both :term:`rooted trees <rooted tree>`
-        and :term:`unrooted trees <unrooted tree>` have seed nodes. In rooted
-        trees, the seed node is the root of the tree.
-
-        By definition, the seed node does not have a :term:`parent node`.  It
-        is the node at which algorithms on the tree begin, since as a data
-        structure, one can only pass from :term:`parent node` to :term:`child
-        nodes <child node>`.  If the tree is :term:`rooted <rooted tree>`, then
-        the seed node is equivalent to the root of the tree.
-
-    node height
-        The height of a node is the length of the longest downward path to a
-        leaf from that node. The height of the root is the height of the tree.
-        The depth of a node is the length of the path to its root (i.e., its
-        root path). The root node has depth zero,
-        leaf nodes have height zero, and a tree with only a single node
-        (hence both a root and leaf) has depth and height zero. Conventionally,
-        an empty tree (tree with no nodes, if such are allowed) has depth and
-        height 1.
-
-    path
-        The sequence of :term:`edges <edge>` connecting two :term:`nodes
-        <node>` on a :term:`tree`.
-
-    path length
-    path weight
-    unweighted path
-    weighted path
-        The number or sum of lengths of the :term:`edges <edge>` connecting two
-        :term:`nodes <node>` on a :term:`tree`. An *unweighted* path length is
-        just the number of :term:`edges:, while a *weighted* path length or
-        path weight is the sum of :term:`edge lengths <edge length>`.
-
-    rooted tree
-        A state of a :term:`tree` in which its :term:`seed node` represents the
-        most-recent common ancestor of all the :term:`leaf nodes <leaf node>`
-        on the tree. Rooted trees have a distinct directionality, and
-        ancestor-descendent relationships are not invertible.
-
-    schema
-        The format or syntax of serialized phylogenetic or related data.
-        Examples are NEXUS, NEWICk, Phylip, NeXML, etc. A "schema" is
-        DendroPy-speak for "format" (we cannot use the argument name "format"
-        because this is a Python built-in, and hence we adopted this
-        terminology for consistency), and is typicallly specified using one of
-        a set of predefined string values, known as "schema specification
-        strings". Supported reading (input) schemas are described :ref:`here
-        <Specifying_the_Data_Source_Format>` while supported writing (output)
-        schemas are described :ref:`here <Specifying_the_Data_Writing_Format>`.
-
-    sibling node
-    sister node
-        Two or more :term:`nodes <node>` that share the same :term:`parent
-        node`, i.e., are descended from the same node, are said to be siblings
-        or sisters with respect to each other.
-
-    subtree
-        A subtree of a :term:`tree` is a tree consisting of a :term:`node` in
-        the tree and all its :term:`descendents <descendent nodes>`. Each
-        :term:`node` on a :term:`tree` thus corresponds to the :term:`root
-        <seed node>` of the subtree that it determines.
-
-    tail node
-    source node
-    origin node
-        On an :term:`edge` connecting two :term:`nodes <node>`, the node *from*
-        which the edge extends to link *to* the other node, termed the :term:`head node`.
-        The tail node is the :term:`parent node` of the :term:`head node`,  and
-        the :term:`head node` is the :term:`child node` of the tail node.
-        The edge is said to be an outgoing node with respect to the tail node.
-
-    taxon
-    operational taxonomic unit
-    taxon concept
-    taxon name
-        A class of organisms being modeled represented by a string label or
-        namethat is guaranteed to be unique within a particular :term:`taxon
-        namespace`.
-
-    taxon namespace
-        A set of distinct and unique labels, with each label mapping to one and
-        exactly one or names that is used to relate data from across different
-        data sources to each other by reference to a :term:`taxon concept`.
-
-    tree
-    arborescence
-        A tree is a set of :term:`nodes <node>` connected to each other in
-        parent-child relationships given by a set of :term:`edges <edge>`. In
-        DendroPy, a tree is modeled by the |Tree| class. A tree is a
-        specialization of a `graph
-        <http://en.wikipedia.org/wiki/Graph_%28mathematics%29>`_, constrained
-        such that:
-
-            1. All its :term:`edges <edge>` are directional.
-            2. It has no `directed cycles <http://en.wikipedia.org/wiki/Cycle_graph#Directed_cycle_graph>`_ .
-            3. The directionality is from the :term:`root <seed node>` (or
-               ":term:`seed node`" in DendroPy's parlance) to the
-               :term:`tips <leaf node>`.
-
-        The first and second constraints alone result in a `directed acylic graph
-        <http://en.wikipedia.org/wiki/Directed_acyclic_graph>`_ .
-        The addition of the third constraint results in an `arborescence
-        <http://en.wikipedia.org/wiki/Arborescence_(graph_theory)>`_, which is
-        strictly synonymous with "tree".
-
-    unifurcation
-    unifurcating node
-        On a :term:`tree`, a :term:`node` with exactly one :term:`child node`.
-        Also known as an "out-degree one" node. In some cases, unifurcations
-        may be used to represent information (e.g., a change in some value
-        associated with edges, such as population size or a rate of some kind),
-        but they more typically arise as side-effect of tree manipulation
-        operations, such as re-rooting or pruning. Though DendroPy has no
-        problem in handling unifurcations, trees with unifurcating nodes are
-        considered pathological in many contexts and operations, and DendroPy
-        thus provides facilities for suppressing unifurcations, either on
-        existing trees or as they occur as a side-effect of other operations.
-
-    unrooted tree
-        A state of a :term:`tree` in which its :term:`seed node` is an
-        algorithmic artifact, and not necessarily represents the most-recent
-        common ancestor of all the :term:`leaf nodes <leaf node>` on the tree.
-        In an unrooted trees, ancestor-descendent relationships are also
-        algorithmic artifacts and can be (conceptually) inverted without
-        changing the information represented by the tree, though this operation
-        usually requires a fundamental restructuring of the computational
-        representation of the tree.
diff --git a/doc/source/index.rst b/doc/source/index.rst
deleted file mode 100644
index d888aef..0000000
--- a/doc/source/index.rst
+++ /dev/null
@@ -1,118 +0,0 @@
-%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
-DendroPy Phylogenetic Computing Library
-%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
-
-.. toctree::
-    :maxdepth: 3
-    :hidden:
-
-    Introduction <self>
-    downloading.rst
-    primer/index.rst
-    library/index.rst
-    schemas/index.rst
-    programs/index.rst
-    glossary.rst
-    migration.rst
-    changes.rst
-
-DendroPy is a |Python|_ library for phylogenetic computing.
-It provides classes and functions for the simulation, processing, and manipulation of phylogenetic trees and character matrices, and supports the reading and writing of phylogenetic data in a range of formats, such as NEXUS, NEWICK, NeXML, Phylip, FASTA, etc.
-Application scripts for performing some useful phylogenetic operations, such as data conversion and tree posterior distribution summarization, are also distributed and installed as part of the libary.
-DendroPy can thus function as a stand-alone library for phylogenetics, a component of more complex multi-library phyloinformatic pipelines, or as a scripting "glue" that assembles and drives such pipelines.
-
-Prerequisites
-=============
-
-DendroPy is a pure-Python library with no dependencies, and runs under any version of Python 3 and Python 2.7. If you want to run DendroPy under Python version of less than 2.7, you should download the `DendroPy legacy release <https://github.com/jeetsukumaran/DendroPy/releases/tag/v3.12.1>`_.
-
-.. versionchanged:: 4.0.0
-   Python 2.4, 2.5, and 2.6 support removed.
-   Python 3.x support added.
-
-Installing
-==========
-
-DendroPy is fully easy-installable and can be installed using |pip|_::
-
-    $ sudo pip install -U dendropy
-
-Note: the "``sudo``" command should only be used if installing system-wide on a machine on which you have administrative privileges. Otherwise, you would use the "``--user``" flag for a local user install::
-
-    $ pip install --user -U dendropy
-
-If you do not have |pip|_ installed, you should *definitely* `install it <https://pip.pypa.io/en/latest/installing.html>`_ !
-Other ways of obtaining and installing DendroPy (e.g., by downloading the |dendropy_source_archive|_, or by cloning the `DendroPy Git repository <http://github.com/jeetsukumaran/DendroPy>`_), are discussed in detail in the ":doc:`/downloading`" section.
-
-Documentation
-==============
-
-    :doc:`Downloading and Installing DendroPy </downloading>`
-
-        The many ways to get DendroPy up and running on your system.
-
-    :doc:`DendroPy Primer </primer/index>`
-
-        A detailed primer on how to use the DendroPy library, with lots of annotated practical examples and code walk-throughs.
-
-    :doc:`DendroPy Library API Reference </library/index>`
-
-        The technical details of the modules, classes and methods of the DendroPy library. Almost all of this information is also readily available from the |Python|_ interpreter by invoking ``help()`` on an object or name.
-
-    :doc:`SumTrees User Manual </programs/sumtrees>`
-
-        How to use SumTrees, an application script bundled with DendroPy that faciliates the summarization of non-parameteric bootstrap or Bayesian posterior probability support for splits or clades on phylogenetic trees.
-
-    :doc:`Migration Guide </migration>`
-
-        DendroPy 4 is improved in *many* ways over DendroPy 3. However, some of the changes are significant enough to break code written for DendroPy 3. This reference provides an overview of these changes, as well as notes on how to fix, handle or otherwise work-around issues that might result from trying to run code written for DendroPy 3 under DendroPy 4.
-
-
-    :doc:`Change History </changes>`
-
-        A summary of major changes (new features, bug fixes, bug creations, etc.) of each release of DendroPy.
-
-Feature Requests
-================
-
-We are constantly expanding and improving the DendroPy library.
-And we are constantly looking for ideas on *how* to expand and improve DendroPy.
-If you have an idea that you would like to see implemented in DendroPy, or a need/requirement for some sort of functionality that DendroPy does not provide or does not provide easily, or, for that matter, a suggestion/idea for how something DendroPy already does that can be done better, *please* let us know by posting it as an issue on the |dendropy_issues|_ page.
-We take these very seriously, and look forward to ideas/suggestions/requests/critiques such as these, not only because they improve the library for the entire community of users, but also because they sometimes provide for interesting side-projects for us.
-
-Bug Reports and Other Issues
-============================
-
-Everyone has issues.
-And sometimes, not pointing them out is enabling rather than helping. So, if you encounter or think you have encountered a problem in the way DendroPy works, please report it on the |dendropy_issues|_ page.
-The DendroPy library has a really large suite of tests, but it is also a really, really, really, *really* large and complex library, and there are many nooks and crannies in which can scurry many crooks and nannies, so you will be doing us *and* the community a really generous favor by reporting bugs and problems.
-Even if you are not sure if you are actually dealing with a bug, please do not hesitate to report it as an issue: false positives are better than false negatives in this context.
-
-Having said that, *please* do take the trouble to write-up a decent bug report.
-It really is quite frustrating to receive vague and lackadaisical "reports" that are little more than stream-of-consciousness responses to stimuli from the monitor that were almost accidentally blurted into the keyboard (e.g., "doesn't work").
-At the very least, you should provide:
-
-    -   A brief explication of what occurred, describing the operation that you were trying to do, and the result (or non-result) that you observed that led you to think there is an error.
-    -   The environment in which this error occurred. This includes, at the very least, the operating system, as well as things such as the python version, DendroPy version, the installation locations of DendroPy and the Python libraries, etc. Apart from the operating system, you can retrieve all this information by running the following command::
-
-            $ python -m dendropy
-
-        The version of SumTrees that ships with DendroPy 4 onwards includes a special flag, "``--describe``" (i.e., you would type "``sumtrees.py --describe``"), that also provides this information.
-        Including the details of either of these commands in their entirety along with the operating system is not only useful, but essential.
-    -   We have gone to great lengths to write sensible and meaningful error messages, and that chunk of text that usually appears on the screen on error (i.e., the "stack trace") is packed with useful information, and should be included in its entirety should it appear.
-    -   We need to be able to reproduce the error on our side to be able to fix. Thus, providing a *self-contained* and *minimum* example of the error is crucial. This might involve a little bit of work on your side, to extract the essential bits of code from their context and to ensure that it can run, at least, up to the point where it does not due to the error. The "steps to reproduce" section of a bug report is so important and useful that anyone who makes sure to include a good one  [...]
-
-Help, Discussion, and Comments
-==============================
-
-The |dendropy_users|_ discussion group is available for general discussion on the usage of the DendroPy library.
-If you want more information on how to use a particular feature or carry out specific task or want to make some general comments on the DendroPy library, you should post a message to the |dendropy_users|_ discussion group.
-I follow and respond to messages on this group fairly regularly, so you should get a response within 24 hours.
-
-
-Of course, we accept all bug reports, bad or good, and I guess we would prefer to have a bad bug report than no report at all, so if all the above seem enough of a hassle to discourage you from posting an issue at all, feel free to go ahead and write it up any way you see fit.
-
-.. include:: citation.inc
-.. include:: license.inc
-.. include:: acknowledgements.inc
-
diff --git a/doc/source/library/basemodel.rst b/doc/source/library/basemodel.rst
deleted file mode 100644
index 801dd4a..0000000
--- a/doc/source/library/basemodel.rst
+++ /dev/null
@@ -1,38 +0,0 @@
-**************************************************************************************
-:mod:`dendropy.datamodel.basemodel`: Core Infrastructure for Phylogenetic Data Objects
-**************************************************************************************
-
-.. module:: dendropy.datamodel.basemodel
-
-.. toctree::
-    :maxdepth: 2
-
-The :class:`DataObject` Class
-=============================
-.. autoclass:: dendropy.datamodel.basemodel.DataObject
-    :members:
-    :inherited-members:
-
-The :class:`Annotable` Class
-=============================
-.. autoclass:: dendropy.datamodel.basemodel.Annotable
-    :members:
-    :inherited-members:
-
-The :class:`Annotation` Class
-=============================
-.. autoclass:: dendropy.datamodel.basemodel.Annotation
-    :members:
-    :inherited-members:
-
-The :class:`AnnotationSet` Class
-================================
-.. autoclass:: dendropy.datamodel.basemodel.AnnotationSet
-    :members:
-    :inherited-members:
-
-Supporting Classes
-==================
-.. autoclass:: dendropy.utility.bibtex.BibTexEntry
-    :members:
-    :inherited-members:
diff --git a/doc/source/library/birthdeath.rst b/doc/source/library/birthdeath.rst
deleted file mode 100644
index 8617bb1..0000000
--- a/doc/source/library/birthdeath.rst
+++ /dev/null
@@ -1,8 +0,0 @@
-***********************************************************************
-:mod:`dendropy.model.birthdeath`: The Birth-Death and Related Processes
-***********************************************************************
-
-.. automodule:: dendropy.model.birthdeath
-    :members:
-
-
diff --git a/doc/source/library/charmatrixmodel.rst b/doc/source/library/charmatrixmodel.rst
deleted file mode 100644
index ea87027..0000000
--- a/doc/source/library/charmatrixmodel.rst
+++ /dev/null
@@ -1,88 +0,0 @@
-***************************************************************************
-:mod:`dendropy.datamodel.charmatrixmodel`: Character Sequences and Matrices
-***************************************************************************
-
-.. module:: dendropy.datamodel.charmatrixmodel
-
-.. toctree::
-    :maxdepth: 2
-
-Character Sequences
-===================
-
-.. autoclass:: dendropy.datamodel.charmatrixmodel.CharacterDataSequence
-    :members:
-
-Character Types
-===============
-
-.. autoclass:: dendropy.datamodel.charmatrixmodel.CharacterType
-    :members:
-
-Character Subsets
-=================
-
-.. autoclass:: dendropy.datamodel.charmatrixmodel.CharacterSubset
-    :members:
-
-
-Character Matrices
-==================
-
-The |CharacterMatrix| Class
-----------------------------------
-
-.. autoclass:: dendropy.datamodel.charmatrixmodel.CharacterMatrix
-    :members:
-    :inherited-members:
-
-|ContinuousCharacterMatrix|: Continuous Data
----------------------------------------------------
-
-.. autoclass:: dendropy.datamodel.charmatrixmodel.ContinuousCharacterMatrix
-    :members:
-    :inherited-members:
-
-|DnaCharacterMatrix|: DNA Data
--------------------------------------
-
-.. autoclass:: dendropy.datamodel.charmatrixmodel.DnaCharacterMatrix
-    :members:
-    :inherited-members:
-
-|RnaCharacterMatrix|: RNA Data
--------------------------------------
-
-.. autoclass:: dendropy.datamodel.charmatrixmodel.RnaCharacterMatrix
-    :members:
-    :inherited-members:
-
-|ProteinCharacterMatrix|: Protein (Amino Acid) Data
-----------------------------------------------------------
-
-.. autoclass:: dendropy.datamodel.charmatrixmodel.ProteinCharacterMatrix
-    :members:
-    :inherited-members:
-
-|RestrictionSitesCharacterMatrix|: Restriction Sites Data
-----------------------------------------------------------------
-
-.. autoclass:: dendropy.datamodel.charmatrixmodel.RestrictionSitesCharacterMatrix
-    :members:
-    :inherited-members:
-
-|InfiniteSitesCharacterMatrix| : Infinite Sites Data
------------------------------------------------------------
-
-.. autoclass:: dendropy.datamodel.charmatrixmodel.InfiniteSitesCharacterMatrix
-    :members:
-    :inherited-members:
-
-|StandardCharacterMatrix|: "Standard" Data
--------------------------------------------------
-
-.. autoclass:: dendropy.datamodel.charmatrixmodel.StandardCharacterMatrix
-    :members:
-    :inherited-members:
-
-
diff --git a/doc/source/library/charstatemodel.rst b/doc/source/library/charstatemodel.rst
deleted file mode 100644
index 177e501..0000000
--- a/doc/source/library/charstatemodel.rst
+++ /dev/null
@@ -1,19 +0,0 @@
-**********************************************************************************
-:mod:`dendropy.datamodel.charstatemodel`: Character State Identities and Alphabets
-**********************************************************************************
-
-.. module:: dendropy.datamodel.charstatemodel
-
-.. toctree::
-    :maxdepth: 2
-
-The :class:`StateAlphabet` Class
-================================
-.. autoclass:: dendropy.datamodel.charstatemodel.StateAlphabet
-    :members:
-
-The :class:`StateIdentity` Class
-================================
-.. autoclass:: dendropy.datamodel.charstatemodel.StateIdentity
-    :members:
-
diff --git a/doc/source/library/coalescent.rst b/doc/source/library/coalescent.rst
deleted file mode 100644
index 1686f8d..0000000
--- a/doc/source/library/coalescent.rst
+++ /dev/null
@@ -1,9 +0,0 @@
-************************************************
-:mod:`dendropy.model.coalescent`: The Coalescent
-************************************************
-
-.. automodule:: dendropy.model.coalescent
-    :members:
-
-
-
diff --git a/doc/source/library/continuous.rst b/doc/source/library/continuous.rst
deleted file mode 100644
index 68f07db..0000000
--- a/doc/source/library/continuous.rst
+++ /dev/null
@@ -1,8 +0,0 @@
-****************************************************************
-:mod:`dendropy.model.continuous`: Continuous Character Evolution
-****************************************************************
-
-.. automodule:: dendropy.model.continuous
-    :members:
-
-
diff --git a/doc/source/library/datasetmodel.rst b/doc/source/library/datasetmodel.rst
deleted file mode 100644
index bb007c3..0000000
--- a/doc/source/library/datasetmodel.rst
+++ /dev/null
@@ -1,7 +0,0 @@
-************************************************************************************************************
-:mod:`dendropy.datamodel.datasetmodel`: Datasets -- Aggregate Collections of Taxon, Character, and Tree Data
-************************************************************************************************************
-
-.. autoclass:: dendropy.datamodel.datasetmodel.DataSet
-    :members:
-    :inherited-members:
diff --git a/doc/source/library/discrete.rst b/doc/source/library/discrete.rst
deleted file mode 100644
index 1dad4f4..0000000
--- a/doc/source/library/discrete.rst
+++ /dev/null
@@ -1,9 +0,0 @@
-************************************************************
-:mod:`dendropy.model.discrete`: Discrete Character Evolution
-************************************************************
-
-.. automodule:: dendropy.model.discrete
-    :members:
-
-
-
diff --git a/doc/source/library/index.rst b/doc/source/library/index.rst
deleted file mode 100644
index 7fc5581..0000000
--- a/doc/source/library/index.rst
+++ /dev/null
@@ -1,59 +0,0 @@
-##########################
-DendroPy Library Reference
-##########################
-
-
-.. contents::
-    :local:
-    :backlinks: none
-
-Data Model
-==========
-
-.. toctree::
-    :maxdepth: 2
-
-    basemodel.rst
-    taxonmodel.rst
-    treemodel.rst
-    treecollectionmodel.rst
-    charstatemodel.rst
-    charmatrixmodel.rst
-    datasetmodel.rst
-
-Process Models
-==============
-
-.. toctree::
-    :maxdepth: 2
-
-    birthdeath.rst
-    coalescent.rst
-    continuous.rst
-    discrete.rst
-    parsimony.rst
-    reconcile.rst
-    treeshape.rst
-
-Calculations, Statistics, and Metrics
-=====================================
-
-.. toctree::
-    :maxdepth: 2
-
-    treemeasure.rst
-    treecompare.rst
-    treescore.rst
-    popgenstat.rst
-    probability.rst
-    statistics.rst
-
-Simulations
-===========
-
-.. toctree::
-    :maxdepth: 2
-
-    treesim.rst
-    popgensim.rst
-
diff --git a/doc/source/library/parsimony.rst b/doc/source/library/parsimony.rst
deleted file mode 100644
index 7990cc1..0000000
--- a/doc/source/library/parsimony.rst
+++ /dev/null
@@ -1,9 +0,0 @@
-****************************************************
-:mod:`dendropy.model.parsimony`: The Parsimony Model
-****************************************************
-
-.. automodule:: dendropy.model.parsimony
-    :members:
-
-
-
diff --git a/doc/source/library/popgensim.rst b/doc/source/library/popgensim.rst
deleted file mode 100644
index 6e71d8b..0000000
--- a/doc/source/library/popgensim.rst
+++ /dev/null
@@ -1,10 +0,0 @@
-*******************************************************************
-:mod:`dendropy.simulate.popgensim`: Population Genetics Simulations
-*******************************************************************
-
-.. automodule:: dendropy.simulate.popgensim
-    :members:
-
-
-
-
diff --git a/doc/source/library/popgenstat.rst b/doc/source/library/popgenstat.rst
deleted file mode 100644
index 4481ebb..0000000
--- a/doc/source/library/popgenstat.rst
+++ /dev/null
@@ -1,8 +0,0 @@
-********************************************************************
-:mod:`dendropy.calculate.popgenstat`: Population Genetics Statistics
-********************************************************************
-
-.. automodule:: dendropy.calculate.popgenstat
-    :members:
-
-
diff --git a/doc/source/library/probability.rst b/doc/source/library/probability.rst
deleted file mode 100644
index 5ddc79a..0000000
--- a/doc/source/library/probability.rst
+++ /dev/null
@@ -1,8 +0,0 @@
-**********************************************************
-:mod:`dendropy.calculate.probability`: General Probability
-**********************************************************
-
-.. automodule:: dendropy.calculate.probability
-    :members:
-
-
diff --git a/doc/source/library/reconcile.rst b/doc/source/library/reconcile.rst
deleted file mode 100644
index 65b6ec4..0000000
--- a/doc/source/library/reconcile.rst
+++ /dev/null
@@ -1,9 +0,0 @@
-*********************************************************************************
-:mod:`dendropy.model.reconcile`: Tree-Fitting (Gene/Species, Parasite/Host, etc.)
-*********************************************************************************
-
-.. automodule:: dendropy.model.reconcile
-    :members:
-
-
-
diff --git a/doc/source/library/statistics.rst b/doc/source/library/statistics.rst
deleted file mode 100644
index 9c3d3d6..0000000
--- a/doc/source/library/statistics.rst
+++ /dev/null
@@ -1,8 +0,0 @@
-********************************************************
-:mod:`dendropy.calculate.statistics`: General Statistics
-********************************************************
-
-.. automodule:: dendropy.calculate.statistics
-    :members:
-
-
diff --git a/doc/source/library/taxonmodel.rst b/doc/source/library/taxonmodel.rst
deleted file mode 100644
index 244a9be..0000000
--- a/doc/source/library/taxonmodel.rst
+++ /dev/null
@@ -1,23 +0,0 @@
-**********************************************************************************
-:mod:`dendropy.datamodel.taxonmodel`: Taxonomic Namespace Reference and Management
-**********************************************************************************
-
-.. module:: dendropy.datamodel.taxonmodel
-
-.. toctree::
-    :maxdepth: 2
-
-The :class:`TaxonNamespace` Class
-=================================
-.. autoclass:: dendropy.datamodel.taxonmodel.TaxonNamespace
-    :members:
-
-The :class:`Taxon` Class
-========================
-.. autoclass:: dendropy.datamodel.taxonmodel.Taxon
-    :members:
-
-The :class:`TaxonNamespaceAssociated` Class
-===========================================
-.. autoclass:: dendropy.datamodel.taxonmodel.TaxonNamespaceAssociated
-    :members:
diff --git a/doc/source/library/treecollectionmodel.rst b/doc/source/library/treecollectionmodel.rst
deleted file mode 100644
index faef259..0000000
--- a/doc/source/library/treecollectionmodel.rst
+++ /dev/null
@@ -1,54 +0,0 @@
-*******************************************************************
-:mod:`dendropy.datamodel.treecollectionmodel`: Collections of Trees
-*******************************************************************
-
-.. module:: dendropy.datamodel.treecollectionmodel
-
-.. toctree::
-    :maxdepth: 2
-
-The |TreeList| Class
-====================
-.. autoclass:: dendropy.datamodel.treecollectionmodel.TreeList
-    :members:
-    :inherited-members:
-
-
-.. method:: TreeList.read(\*\*kwargs)
-
-.. method:: TreeList.put(\*\*kwargs)
-
-    Write out collection of trees to file.
-
-    :Mandatory Destimation-Specification Keyword Arguments (one and exactly one of the following required):
-
-        - **file** (*file*) -- File or file-like object opened for writing.
-        - **path** (*str*) -- Path to file to which to write.
-
-    :Mandatory Schema-Specification Keyword Argument:
-
-        - **schema** (*str*) -- Identifier of format of data given by the "``file``", "``path``", "``data``", or "``url``" argument specified above: ":doc:`newick </schemas/newick>`", ":doc:`nexus </schemas/nexus>`", or ":doc:`nexml </schemas/nexml>`".
-
-    :Optional Schema-Specific Keyword Arguments:
-
-        -  These provide control over how the data is formatted, and supported argument names and values depend on the schema as specified by the value passed as the "``schema``" argument:
-            -   :ref:`"newick" (Newick) <schema_specific_keyword_arguments_writing_newick>`
-            -   :ref:`"nexus" (Nexus) <schema_specific_keyword_arguments_writing_nexus>`
-            -   :ref:`"nexml" (NeXML) <schema_specific_keyword_arguments_writing_nexml>`
-
-
-The |TreeArray| Class
-=====================
-.. autoclass:: dendropy.datamodel.treecollectionmodel.TreeArray
-    :members:
-
-The |SplitDistribution| Class
-=============================
-.. autoclass:: dendropy.datamodel.treecollectionmodel.SplitDistribution
-    :members:
-
-The |SplitDistributionSummarizer| Class
-=======================================
-.. autoclass:: dendropy.datamodel.treecollectionmodel.SplitDistributionSummarizer
-    :members:
-
diff --git a/doc/source/library/treecompare.rst b/doc/source/library/treecompare.rst
deleted file mode 100644
index 929206d..0000000
--- a/doc/source/library/treecompare.rst
+++ /dev/null
@@ -1,8 +0,0 @@
-*****************************************************************************
-:mod:`dendropy.calculate.treecompare`: Distances and Comparison Between Trees
-*****************************************************************************
-
-.. automodule:: dendropy.calculate.treecompare
-    :members:
-
-
diff --git a/doc/source/library/treemeasure.rst b/doc/source/library/treemeasure.rst
deleted file mode 100644
index 2e68e1d..0000000
--- a/doc/source/library/treemeasure.rst
+++ /dev/null
@@ -1,7 +0,0 @@
-************************************************************************
-:mod:`dendropy.calculate.treemeasure`: Unary Tree Statistics and Metrics
-************************************************************************
-
-.. automodule:: dendropy.calculate.treemeasure
-    :members:
-
diff --git a/doc/source/library/treemodel.rst b/doc/source/library/treemodel.rst
deleted file mode 100644
index d118add..0000000
--- a/doc/source/library/treemodel.rst
+++ /dev/null
@@ -1,33 +0,0 @@
-******************************************
-:mod:`dendropy.datamodel.treemodel`: Trees
-******************************************
-
-.. module:: dendropy.datamodel.treemodel
-
-.. toctree::
-    :maxdepth: 3
-
-The :class:`Tree` Class
-=======================
-.. autoclass:: dendropy.datamodel.treemodel.Tree
-    :members:
-    :inherited-members:
-
-The :class:`Node` Class
-=======================
-.. autoclass:: dendropy.datamodel.treemodel.Node
-    :members:
-    :inherited-members:
-
-The :class:`Edge` Class
-=======================
-.. autoclass:: dendropy.datamodel.treemodel.Edge
-    :members:
-    :inherited-members:
-
-The :class:`Bipartition` Class
-==============================
-.. autoclass:: dendropy.datamodel.treemodel.Bipartition
-    :members:
-    :inherited-members:
-
diff --git a/doc/source/library/treescore.rst b/doc/source/library/treescore.rst
deleted file mode 100644
index 6fed2cc..0000000
--- a/doc/source/library/treescore.rst
+++ /dev/null
@@ -1,8 +0,0 @@
-*************************************************************************************
-:mod:`dendropy.calculate.treescore`: Scoring Trees with Reference to Data and a Model
-*************************************************************************************
-
-.. automodule:: dendropy.calculate.treescore
-    :members:
-
-
diff --git a/doc/source/library/treeshape.rst b/doc/source/library/treeshape.rst
deleted file mode 100644
index 38bdad2..0000000
--- a/doc/source/library/treeshape.rst
+++ /dev/null
@@ -1,8 +0,0 @@
-*****************************************************
-:mod:`dendropy.model.treeshape`: Models of Tree Shape
-*****************************************************
-
-.. automodule:: dendropy.model.treeshape
-    :members:
-
-
diff --git a/doc/source/library/treesim.rst b/doc/source/library/treesim.rst
deleted file mode 100644
index 3be9db8..0000000
--- a/doc/source/library/treesim.rst
+++ /dev/null
@@ -1,10 +0,0 @@
-**********************************************************************************************************
-:mod:`dendropy.simulate.treesim`: Unified Namespace Aggregating Functions and Classes for Tree Simulations
-**********************************************************************************************************
-
-.. automodule:: dendropy.simulate.treesim
-    :members:
-    :inherited-members:
-
-
-
diff --git a/doc/source/license.inc b/doc/source/license.inc
deleted file mode 100644
index 77635c5..0000000
--- a/doc/source/license.inc
+++ /dev/null
@@ -1,79 +0,0 @@
-Copyright, License and Warranty
-===============================
-
-.. container:: copyrightblock
-
-    The DendroPy project, including all source code, documentation, images, and
-    other supporting files and media, either as provided online or otherwise
-    distributed, is (unless otherwise explicitly noted):
-
-        .. container:: licenseblock
-
-            |dendropy_copyright|
-
-    1.  The DendroPy project source code and associated data files are licensed for
-        redistribution and use in source and binary forms, with or without
-        modification, are permitted provided that the following conditions
-        are met:
-
-            *   Redistributions of source code must retain the above copyright
-                notice, this list of conditions and the following disclaimer.
-
-            *   Redistributions in binary form must reproduce the above copyright
-                notice, this list of conditions and the following disclaimer in the
-                documentation and/or other materials provided with the distribution.
-
-            *   The names of its contributors may not be used to endorse or promote
-                products derived from this software without specific prior written
-                permission.
-
-        THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS"
-        AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE
-        IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE
-        ARE DISCLAIMED. IN NO EVENT SHALL JEET SUKUMARAN OR MARK T. HOLDER BE
-        LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR
-        CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF
-        SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR
-        BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY,
-        WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR
-        OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN
-        IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
-
-    2.  All DendroPy documentation, (non-logo) images and other media, as
-        provided online or otherwise distributed, can be used in accordance with the
-        `Attribution-NonCommercial-ShareAlike 4.0 International License
-        <http://creativecommons.org/licenses/by-nc-sa/4.0/>`_ , which allows anyone
-        to copy, modify and redistribute modifications of all or part of the DendroPy
-        documentation as long as:
-
-            * The license is included with all copies or redistributions.
-            * the DendroPy documentation is attributed as the originating document.
-            * You must give appropriate credit, provide a link to the license, and
-              indicate if changes were made. You may do so in any reasonable
-              manner, but not in any way that suggests the licensor endorses you or
-              your use.
-            * You may not use the material for commercial purposes.
-            * If you remix, transform, or build upon the material, you must
-              distribute your contributions under the same license as the original.
-
-    3.  The `DendroPy logo <_static/dendropy.png>`_  can be used and reproduced
-        freely only to identify, advertise, or otherwise denote association
-        or usage of the DendroPy library.
-
-    4.  The test data files (available at ``dendropy/test/data``) have all been (a)
-        sourced from public domain data, (b) obtained as part of example data
-        bundled with other applications, and typically having been used in
-        published analyses (c) generated using analysis programs from public domain
-        data.
-
-        In the case of (a), the data is from GenBank, and thus in public domain.
-        Where possible, we have maintained citation information for the original
-        authors/work that generated the data.
-
-        In the case of (b), the original data is also available from the public
-        domain. Where possible, we have maintained citation information for the
-        original authors/work that generated the data.
-
-        In the case of (c), no program we have used places any restriction on their
-        output. We maintain the generated text ("File generated by DnaSp ... etc")
-        to track provenance.
diff --git a/doc/source/migration.rst b/doc/source/migration.rst
deleted file mode 100644
index 76092cc..0000000
--- a/doc/source/migration.rst
+++ /dev/null
@@ -1,269 +0,0 @@
-#######################################
-DendroPy 4 Changes and Migration Primer
-#######################################
-
-Introduction
-============
-
-* Updated for full (and exclusive) Python 3.x compatibility.
-
-* Faster, better, stronger! Core serialization/deserialization infrastructure
-  rewritten from the ground up, with *many* optimizations for speed and
-  reliability.
-
-Python Version Compatibility
-============================
-
-* Compatibility: Python 3 is fully supported. The only version of Python 2
-  supported is Python 2.7.
-
-    * Python 2: Python 2.7
-
-    * Python 3: Python 3.1, 3.2, 3.3, 3.4
-
-Library-Wide Changes
-====================
-
-Public Module Reorganization
-----------------------------
-
-A number of modules have been renamed, moved, or split into multiple modules.
-Calls to the old module should continue to work, albeit with warnings exhorting
-that you update to the latest configuration.
-
-    * ``dendropy.treecalc`` has been split into three submodules depending on
-      whether the statistic or value being calculated is on a single tree, a
-      single tree and a dataset, or two trees:
-
-        *   :mod:`dendropy.calculate.treemeasure`
-            For calculation of statistics, metrics, and values on a single tree.
-        *   :mod:`dendropy.calculate.treecompare`
-            For calculation of statistics, metrics, and values of two trees
-            (e.g., Robinson-Fould's distances).
-        *   :mod:`dendropy.calculate.treescore`
-            For calculation of statistics, metrics, and values of a tree with
-            reference to a dataset under some criterion.
-    * The functionality provided ``dendropy.treesplit`` has been largely subsumed by the new |Bipartition| class.
-    * The functionality provided by ``dendropy.treesum`` has been largely subsumed by the new |TreeArray| class, a high-performance class for efficiently managing and carrying out operations on large collections of large trees.
-    * ``dendropy.reconcile`` has been moved to :mod:`dendropy.model.reconcile`.
-    * ``dendropy.coalescent`` has been moved to :mod:`dendropy.model.coalescent`.
-    * ``dendropy.popgenstat`` has been moved to :mod:`dendropy.calculate.popgenstat`.
-    * ``dendropy.treesim`` has been moved to :mod:`dendropy.simulate.treesim`.
-    * ``dendropy.popgensim`` has been moved to :mod:`dendropy.simulate.popgensim`.
-
-
-Behind-the-Scenes Module Reorganization
----------------------------------------
-
-* In constrast to the above, the following changes *should* be opaque to most
-  normal usage and client code. Most of the names (classes/methods/variables)
-  in these modules were imported into the '``dendropy``' namespace, and this is
-  how all public code should be accessing them, *or* they were never exposed
-  (or meant to be exposed) for public usage in the first place. A list of
-  module changes:
-
-        +----------------------------------+-----------------------------------------------+
-        | DendroPy 3                       | DendroPy 4                                    |
-        +==================================+===============================================+
-        | :mod:`dendropy.dataobject.base`  | :mod:`dendropy.datamodel.basemodel`           |
-        +----------------------------------+-----------------------------------------------+
-        | :mod:`dendropy.dataobject.taxon` | :mod:`dendropy.datamodel.taxonmodel`          |
-        +----------------------------------+-----------------------------------------------+
-        | :mod:`dendropy.dataobject.tree`  | :mod:`dendropy.datamodel.treemodel`           |
-        |                                  | :mod:`dendropy.datamodel.treecollectionmodel` |
-        +----------------------------------+-----------------------------------------------+
-        | :mod:`dendropy.dataobject.char`  | :mod:`dendropy.datamodel.charstatemodel`,     |
-        |                                  | :mod:`dendropy.datamodel.charmatrixmodel`     |
-        +----------------------------------+-----------------------------------------------+
-
-
-Unique Object Identifier ("``oid``") Attributes Removed
--------------------------------------------------------
-
-* The entire ``oid`` system ("object identifier"), i.e., the unique id assigned
-  to every data object, has been removed. This was an implementation artifact
-  from NEXML parsing that greatly slowed down a number of operations without
-  any benefit or utility for most normal operations.
-
-:class:`TaxonSet` is now :class:`TaxonNamespace`
-================================================
-
-* The ``dendropy.TaxonSet`` class has been renamed |TaxonNamespace|,
-  (and the corresponding ``taxon_set`` attribute of phylogenetic data objects
-  that reference a taxonomic context has been renamed ``taxon_namespace``).
-
-* The |TaxonNamespace| class replaces the :class:`TaxonSet` class as the
-  manager for the :class:`Taxon` objects.
-
-* The API is largely similar with the following differences:
-
-    * Calls to the
-      :meth:`~dendropy.datamodel.taxonmodel.TaxonNamespace.__getitem__` and
-      :meth:`~dendropy.datamodel.taxonmodel.TaxonNamespace.__delitem__` methods
-      (e.g. ``TaxonNamespace[x]``) now only accept integer values as arguments
-      (representing indexes into the list of :class:`Taxon` objects in the
-      internal array).
-
-    * :meth:`TaxonSet.has_taxon()` and :meth:`TaxonSet.has_taxa()` have been
-        replaced by :meth:`TaxonNamespace.has_taxon_label()` and
-        :meth:`TaxonNamespace.has_taxa_labels()` respectively.
-
-    * Various new methods for accessing and managing the collection of
-        :class:`Taxon` objects (e.g., :meth:`~dendropy.datamodel.taxonmodel.TaxonNamespace.findall`, :meth:`~dendropy.datamodel.taxonmodel.TaxonNamespace.remove_taxon`, :meth:`~dendropy.datamodel.taxonmodel.TaxonNamespace.remove_taxon_label`,
-        :meth:`~dendropy.datamodel.taxonmodel.TaxonNamespace.discard_taxon_label`, :meth:`~dendropy.datamodel.taxonmodel.TaxonNamespace.__delitem__`, etc.)
-
-    * Numerous look-up methods took '``case_insensitive``' as an argument that
-      determined whether the look-up was case sensitive or not (when
-      retrieving, for example, a :class:`Taxon` object corresponding to a
-      particular label), which, if not specified, default to `False`, i.e. a
-      non-caseless or a case-sensitive matching criteria. In all cases, this
-      has been changed to to '``case_sensitive``' with a default of `True`. That
-      is, searches by default are still case-sensitive, but now you will have
-      to specify '``case_sensitive=False``' instead of '``case_insensitive=True``'
-      to perform a case-insensitive search. This change was for consistency
-      with the rest of the library.
-
-* In most cases, a simple global search-and-replace of "TaxonSet" with
-  "TaxonNamespace" and "``taxon_set``" with "``taxon_namespace``" should be
-  sufficient to bring existing code into line with DendroPy 4.
-
-* For legacy support, a class called :class:`TaxonSet` exists. This derives with no
-  modifications from :class:`TaxonNamespace`. Instantiating objects of this class
-  will result in warnings being emitted. As long as usage of :class:`TaxonSet` does
-  conforms to the above API change notes, old or legacy code should continue
-  to work unchanged (albeit, with some warning noise). This support is
-  temporary and will be removed in upcoming releases: code should update to
-  using :class:`TaxonNamespace` as soon as expedient.
-
-* For legacy support, "``taxon_set``" continues to be accepted and processed as
-  an attribute name and keyword argument synonymous with "``taxon_namespace``".
-  Usage of this will result in warnings being emitted, but code should
-  continue to function as expected. This support is temporary and will be
-  removed in upcoming releases: code should update to using
-  "``taxon_namespace``" as soon as expedient.
-
-The :class:`Node` Class
-=======================
-
-* Constructor now only accepts keyword arguments (and ``oid`` is *not* one of them!).
-
-* :meth:`~dendropy.datamodel.treemodel.Node.add_child()` no longer accepts ``pos`` as an argument to indicate
-  position in which a child should be inserted. Use :meth:`~dendropy.datamodel.treemodel.Node.insert_child()`
-  which takes a position specified by ``index`` and a node specified by ``node``
-  for this functionality instead.
-
-The :class:`Edge` Class
-=======================
-
-* Constructor now only accepts keyword arguments (and ``oid`` is *not* one of them!).
-
-* Because ``tail_node`` is no longer an independent attribute but a dynamic
-  property, bound to :attr:`Node._parent_node` attribute of the ``head_node``
-  (see below), the :class:`Edge` constructor does *not* accept ``tail_node`` as
-  an argument.
-
-* The ``tail_node`` of an :class:`Edge` object is now a dynamic property,
-  referencing the :attr:`Node._parent_node` attribute of the
-  :attr:`Edge._head_node` of the :class:`Edge` object. So, now updating
-  :attr:`Edge._tail_node` of an :class:`Edge` object will set the
-  :attr:`Node._parent_node` of its :attr:`Edge._head_node` to the new value,
-  and vice versa.  This avoids the need for independent book-keeping logic to
-  ensure that :attr:`Node._parent_node` and :attr:`Edge._tail_node` are always
-  synchronized to reference the same :class:`Node` object and all the potential
-  errors this might cause.
-
-The :class:`Tree` Class
-=======================
-
-* Constructor no longer supports they ``stream`` keyword argument to construct
-  the new :class:`~dendropy.datamodel.treemodel.Tree` object from a data source. Use the factory class
-  method: :meth:`~dendropy.datamodel.treemodel.Tree.get_from_stream()` instead.
-
-* :meth:`~dendropy.datamodel.treemodel.Tree.nodes()` : sorting option removed; use :func:`~dendropy.datamodel.treemodel.sorted(tree.nodes())` instead.
-
-* :meth:`~dendropy.datamodel.treemodel.Tree.node_set()` : removed; use :func:`~dendropy.datamodel.treemodel.set(tree.nodes())` instead.
-
-* :meth:`~dendropy.datamodel.treemodel.Tree.edge_set()` : removed; use :func:`~dendropy.datamodel.treemodel.set(tree.edges())` instead.
-
-* For consistency with :meth:`~dendropy.datamodel.treemodel.Tree.preorder_node_iter()`,
-  :meth:`~dendropy.datamodel.treemodel.Tree.postorder_node_iter()`, a number of iteration methods have been renamed.
-
-    +----------------------------------+-------------------------------------------------------------------+
-    | DendroPy 3                       | DendroPy 4                                                        |
-    +==================================+===================================================================+
-    | ``Tree.level_order_node_iter()`` | :meth:`~dendropy.datamodel.treemodel.Tree.levelorder_node_iter()` |
-    +----------------------------------+-------------------------------------------------------------------+
-    | ``Tree.level_order_edge_iter()`` | :meth:`~dendropy.datamodel.treemodel.Tree.levelorder_edge_iter()` |
-    +----------------------------------+-------------------------------------------------------------------+
-    | ``Node.level_order_iter()``      | :meth:`~dendropy.datamodel.treemodel.Node.levelorder_iter()`      |
-    +----------------------------------+-------------------------------------------------------------------+
-    | ``Tree.age_order_node_iter()``   | :meth:`~dendropy.datamodel.treemodel.Tree.ageorder_node_iter()`   |
-    +----------------------------------+-------------------------------------------------------------------+
-    | ``Node.age_order_iter()``        | :meth:`~dendropy.datamodel.treemodel.Node.ageorder_iter()`        |
-    +----------------------------------+-------------------------------------------------------------------+
-    | ``Tree.leaf_iter()``             | :meth:`~dendropy.datamodel.treemodel.Tree.leaf_node_iter()`       |
-    +----------------------------------+-------------------------------------------------------------------+
-
-  The old names are still supported for now (with warnings being emitted),
-  but new code should start using the newer names.  In additon, support for
-  in-order or infix tree traversal has been added:
-  :meth:`~dendropy.datamodel.treemodel.Tree.inorder_node_iter`, :meth:`~dendropy.datamodel.treemodel.Tree.inorder_edge_iter()`.
-
-* Instead of ``tree_source_iter`` and ``multi_tree_source_iter``, use
-  :meth:`~dendropy.datamodel.treemodel.Tree.yield_from_files`
-
-NEWICK-format Reading
-=====================
-
-* The ``suppress_external_taxon_labels`` and ``suppress_external_node_labels`` keyword
-  arguments have been replaced by ``suppress_leaf_taxon_labels`` and
-  ``suppress_leaf_node_labels``, respectively. This is for consistency with the
-  rest of the library (including writing in NEWICK-format), which uses the term
-  "leaf" rather than "external".
-
-* The various boolean rooting directive switches (``as_rooted``,
-  ``default_as_rooted``, etc.) have been replaced by a single argument:
-  ``rooting``. This can take on one of the following (string) values:
-
-    * rooting="default-unrooted"
-        Interpret trees following rooting token ("``[&R]``" for rooted,
-        "``[&U]``" for unrooted) if present; otherwise, intrepret trees as
-        unrooted.
-    * rooting"default-rooted"
-        Interpret trees following rooting token ("``[&R]``" for rooted,
-        "``[&U]``" for unrooted) if present; otherwise, intrepret trees as
-        rooted.
-    * rooting="force-unrooted"
-        Unconditionally interpret all trees as unrooted.
-    * rooting="force-rooted"
-        Unconditionally interpret all trees as rooted.
-
-  The value of the "``rooting``" argument defaults to "default-unrooted", i.e.,
-  all trees are assumed to be unrooted unless a rooting token is present that
-  explicitly specifies the rooting state.
-
-NEWICK-format Writing
-=====================
-
-* Previously, if ``annotations_as_nhx`` was `True`, metadata annotations would
-  be written out even if ``suppress_annotations`` was `True`. Now,
-  ``suppress_annotations`` must be `True` for annotations to be written out,
-  even if ``annotations_as_nhx`` is `True`.
-
-The :class:`DataSet` Class
-==========================
-
-* Constructor no longer supports they ``stream`` keyword argument to construct
-  the new :class:`DataSet` object from a data source. Use the factory class
-  method: :meth:`DataSet.get_from_stream()` instead.
-
-* Constructor only accepts one unnamed (positional) argument: either a
-  :class:`DataSet` instance to be cloned, or an iterable of
-  :class:`TaxonNamespace`, :class:`TreeList`, or
-  :class:`CharacterMatrix`-derived instances to be composed (added) into the
-  new :class:`DataSet` instance.
-
-* :class:`TaxonNamespace` no longer managed.
-
-
-
diff --git a/doc/source/primer/bipartitions.rst b/doc/source/primer/bipartitions.rst
deleted file mode 100644
index 841f33a..0000000
--- a/doc/source/primer/bipartitions.rst
+++ /dev/null
@@ -1,404 +0,0 @@
-************
-Bipartitions
-************
-
-Many tree statistics and operations in DendroPy use the *bipartition encoding*
-of a :class:`Tree` instance in the background, including, for example:
-
-    -   tree statistics and metrics
-    -   tree comparisons
-    -   tree scoring
-
-By default, the DendroPy functions assume that bipartitions are *not* encoded,
-or are not up-to-date with respect to the current tree structure, resulting in
-their recalculation *every* time. This is computationally inefficient, and you
-want to avoid it if, indeed, the bipartition encoding of a tree is current. You
-can control whether or not these service functions recalculate the bipartition
-encoding by passing in the argument ``is_bipartitions_updated=True`` to
-suppress the recalculation or ``is_bipartitions_updated=False`` to force it.
-
-If you are doing multiple operations that require a bipartition encoding, you
-should call :class:`Tree.encode_bipartitions()` *once* for each tree, and,
-then, as long as the trees are *not* *modified* since the encoding, specify the
-``is_bipartitions_updated=True`` argument to each of the functions that use it
-to ensure that the bipartitions are not recalculated each time.
-
-If, on the other hand, you modify a tree structure in any way, e.g., rerooting,
-pruning, add/removing nodes or subtrees, you should update the bipartition
-encoding of a tree yourself by calling :class:`Tree.encode_bipartitions()`, or
-make sure to specify ``is_bipartitions_updated=False`` to the *first* function
-that you call following the tree modification.
-
-Modeling Bipartitions
-=====================
-
-A Bipartition is a Partitioning of Taxa Corresponding to an Edge of a Tree
---------------------------------------------------------------------------
-
-A bipartition is the division or sorting of the leaves/tips of a tree into two
-mutually-exclusive and collectively-exhaustive subsets (i.e., a *partition*, in
-the set theory sense, of the leaves of the tree into exactly two non-empty
-subsets; hence the term, "*bi*-partition"). Every edge on a tree corresponds to
-a bipartition in the sense that if were were to split or bisect a tree at a
-particular edge, the leaf sets of each of the two new trees constitute the a
-bipartition of the leaf set of the original tree. In the context of
-evolutionary trees like a phylogeny, the leaves typically are associated with
-operational taxonomic unit concepts, or, for short, taxa. So, just as we view a
-tree as a schematic representation of the relationships of taxa, we can see
-bipartitions as a representation of a clustering of taxa.
-
-For example, given a tree:
-
-    ((a,(b,c)),(d,(e,f)));
-
-the edge subtending the leaf node with taxon "d" corresponds to the bipartition
-that splits "d" from the rest of the taxa. Similarly, the edge subtending the
-most-recent common ancestor (MRCA) node of taxa "d", "e", and "f" corresponds
-to the bipartition that splits "d", "e", and "f" from the rest of the taxa,
-"a", "b", and "c".
-
-A Bipartition Can Be Described by a *Bitmask*
----------------------------------------------
-
-If we were to index the taxa of the tree, with the first taxon getting index 1,
-the second index 2, the third index 3, etc. and so on until index $n$, we can
-represent any possible split as sequence of symbols, such as:
-
-    abbabbaa
-
-where the symbol indicates membership in one arbitrarily-labeled group (e.g.,
-"a") or the other (e.g., "b") of a particular taxon, based on how we relate the
-taxon indexes to the position of the symbols in sequence.
-
-If we were to use a left-to-right order, such that the first element
-corresponded to the first taxon, the second to the second taxon, and so one,
-the above sequence would describe the a partition of the taxa {1,2,...,8} into
-the sets {1,4,7,8} and {2,3,5,6}. However, in DendroPy, we use a right-to-left
-order (for reasons explained below), such that the right-most element
-corresponds to the taxon with index 1, the next right-most element corresponds
-to the taxon with index 2 and so on, so the sequence above represents a
-partition of the taxa {1,2,...,8} into the sets {1,2,5,8} and {3,4,6,7}.
-
-Let us say that we had a set of 8 taxa {A,B,...,H}:
-
-    A, B, C, D, E, F, G, H
-
-which we assign indexes {1,2,...,8} according to the following scheme:
-
-    +-------+---+---+---+---+---+---+---+---+
-    | Taxon | A | B | C | D | E | F | G | H |
-    +-------+---+---+---+---+---+---+---+---+
-    | Index | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 |
-    +-------+---+---+---+---+---+---+---+---+
-
-Then we can describe a bipartition that divides the taxa into two groups
-{A,B,E,H} and {C,D,F,G}, using right-to-left ordering and symbols "0" and "1"
-(instead of "a" and "b") as:
-
-    +-------------+---+---+---+---+---+---+---+---+
-    | Taxon Index | 8 | 7 | 6 | 5 | 4 | 3 | 2 | 1 |
-    +-------------+---+---+---+---+---+---+---+---+
-    | Group       | 0 | 1 | 1 | 0 | 1 | 1 | 0 | 0 |
-    +-------------+---+---+---+---+---+---+---+---+
-
-We can succintly and usefully represent the bipartition above with an integer
-given by interpreting the sequence of 0's and 1's as bits. Interpreting the
-sequence above, "01101100", as a binary number or bitmask means that this
-bipartition can be represented as the decimal integer "108".
-
-This, in essence, is how bipartitions are represented in DendroPy: as integers
-that are interpreted as *bitmasks* (also known as bit arrays, bit vectors, or
-bit fields, though exact application of terminology varies depending on whether
-or not primary operations are bitwise or dereferencing through offset indexes
-or field names, etc.), where the 0's and 1's assign taxa to different subsets
-of the bipartition.
-
-As an example, consider the following tree::
-
-    [&R] (A,(B,(C,(D,E))));
-
-This would be encoded as::
-
-    /----------------------------- 00001 (A)
-    11111
-    |      /---------------------- 00010 (B)
-    \------11110
-        |       /-------------- 00100 (C)
-        \-------11100
-                |      /------- 01000 (D)
-                \------11000
-                        \------- 10000 (E)
-
-The leaves are assigned bitmasks based on the indexes of the taxa, while the
-internal nodes are given by a `bitwise OR <http://en.wikipedia.org/wiki/Bitwise_operation#OR>`_-ing of the bitmasks of their children.
-
-Modeling Bipartitions Using Leafset Bitmasks and Split Bitmasks
----------------------------------------------------------------
-
-In DendroPy, bipartitions are modeled using bitmasks as discussed above, i.e.,
-integers that, when represented as a bitarray or bitstring, specify the
-assignment of taxa into one of two groups, based on whether or not the bit
-corresponding to the taxon index is set or not.
-
-In fact, each bipartition is actually modeled by *two* types of bitmasks: a
-*leafset bitmask* and a *split bitmask*:
-
-    - A leafset bitmask is a bit array in which the presence of a taxon in the
-      leaves descending from the edge associated with the bipartition is
-      represented by a set bit ("1"), while its absence is represented by an
-      unset bit ("0"). The taxa are mapped to bit positions using a
-      least-significant bit mapping scheme, in which the first taxon is represented by
-      the least significant bit, the second taxon is represented by the next
-      most significant bit, and so on.
-
-    - A split bitmask is a bit array which divides or partitions taxa by assign
-      each taxon to one of two arbitrarily-labeled groups, "0" or "1",
-      depending on whether or not a bit is set or not in the position
-      corresponding the taxon index under a least-signficant bit mapping scheme
-      as described above.
-
-        - For bipartitions of rooted trees, the split bitmask is the same value
-          as the leafset bitmask.
-
-        - For bipartitions of unrooted trees, the split bitmask is the same
-          value as the leafset bitmask *if and only if* the least-signficant
-          bit of the leafset bitmask is 0 (i.e., the first taxon is assigned to
-          group "0"), or the *complement* of the leafset bitmask if this is the
-          case. In other words, with unrooted trees we constrain the split
-          bitmasks such that the first taxon and all other taxa grouped
-          together with it are always placed in group "0".
-
-Why this complication?
-
-Consider the following unrooted tree::
-
-    A    C    D
-     \   |   /
-      +--+--+
-     /       \
-    B         E
-
-This could be represented by either of the following NEWICK strings::
-
-    [&U] ((A,B),(C,(D,E)));
-    [&U] (((A,B),C),(D,E));
-
-Both the above topologies, while distinct if interpreted as rooted, represent
-*identical* unrooted toplogies.
-
-When the bipartitions are encoded as leafset bitmasks, we get the following if
-the first tree statement is parsed by DendroPy::
-
-                        /--------- 00001 (A)
-    /-------------------00011
-    |                   \--------- 00010 (B)
-    11111
-    |         /------------------- 00100 (C)
-    \---------11100
-            |         /--------- 01000 (D)
-            \---------11000
-                        \--------- 10000 (E)
-
-and the following if the second tree statement is parsed by DendroPy::
-
-                        /--------- 00001 (A)
-            /---------00011
-    /---------00111     \--------- 00010 (B)
-    |         |
-    11111     \------------------- 00100 (C)
-    |
-    |                   /--------- 01000 (D)
-    \-------------------11000
-                        \--------- 10000 (E)
-
-Note that the leafset bitmask "11100" in the first tree is absent in the second
-tree, while conversely, the leafset bitmask "00111" in the second tree is
-absent in the first tree.
-
-This difference is due purely to the placement of the root to one side or the
-other of taxon 'C'. In rooted trees, this root is a real root, and this
-difference in bipartitions as given by the leafset bitmasks is also real. In
-unrooted trees, this "root" is actually an artifact of the tree structure, and
-the placement is an artifact of the NEWICK string representation. In unrooted
-trees, then the difference in bipartitions as given by the leafset bitmasks is,
-thus, wholly artifactual. This means that it would be impossible to robustly
-and reliably compare, relate, and perform any operations on bipartitions coded
-using leafset bitmasks on unrooted trees: what is effectively the equivalent
-bipartition of taxa maybe represented either by placing, the first taxon and all
-the other taxa in the same group as it in group "0" in one representation, or
-group "1" in another one, and which representation is used is arbitrary and
-random and unpredictable.
-
-Thus, to allow for robustly establishing equivalence of bipartitions across
-different representations and instantiations of different unrooted trees, we
-*normalize* the bit array representation of bipartitions in unrooted trees to
-always ensure that the first taxon is assigned to group "0", *whether* *or*
-*not* *this* *taxon* *is* *actually* *a* *descendent* *or* *a* *member* *of*
-*the* *leafset* *of* *the* *edge*. [We also collapse the basal bifurcation of
-unrooted trees to avoid redundant representation of artifactual bipartitions.]
-
-As the first taxon corresponds to the least-significant bit in the DendroPy
-scheme, this normalization is known as the least-significant bit 0 or "LSB-0"
-normalization scheme. The choice of 0 as opposed to 1 is arbitrary, but the
-reason is so ensure that we can have consistent comparisons of groups across
-trees of different rotations (and "pseudo-rootings" created by the constraints
-of tree representation in, e.g., the NEWICK format) by enforcing the convention
-that group "0" will always be the group that includes the first taxon (i.e.,
-the taxon with index 1, corresponding to the position of the least-significant
-or right-most bit).
-
-We refer to this normalized version of the leafset bitmask as a *split
-bitmask*. For consistency, bipartitions of rooted trees are also assigned split
-bitmasks, but here these are simply the unmodifed leafset bitmasks. For both
-unrooted and rooted trees we maintain the leafset bitmask representation in
-parallel for each bipartition, as this has useful information is lost when
-normalized, e.g., establishing whether or not a particular subtree or taxon can
-be found within bipartition.
-
-Thus, regardless of whether the tree is rooted or unrooted, each bipartition on
-is modeled by *two* bitmasks: a split bitmask and leafset bitmask. For rooted
-trees, these are identical in value. For unrooted trees, the split bitmask is
-the leafset bitmask normalized to constrain the least significant bit to be 0.
-
-A split bitmask is used to establish *identity* across different trees (for
-this reason it is also sometimes called a split or bipartition hash), while a
-leafset bitmask is used to work with various ancestor-descendent relationships
-within the same tree (it can be used to, for example, quickly assess if a taxon
-descends from a particular node, or if a particular node is a common ancestor
-of two taxa).
-
-Leafset bitmasks are unstable representations of bipartitions for unrooted
-trees, but remain accurate and convenient representations of the descendent
-leaf-sets of nodes in both unrooted and rooted trees. Split bitmasks, on the
-other hand, *are* stable representations of bipartitions for both unrooted as
-well as rooted trees, but are not accurate representations of the taxa
-associated with the leaves descended from the bipartition of a particular edge.
-
-Using Bipartitions
-==================
-
-Bipartition Encoding
---------------------
-
-The bipartition encoding of a tree is a specification of the structure of tree
-in terms of the complete set of bipartitions that can be found on it. Given a
-bipartition encoding of a tree, the entire topology can be reconstructed
-completely and accurately. In addition, the bipartition encoding of trees can
-be used to quickly and accurately compare, relate, and calculate various
-statistics between different trees and within the same tree.
-
-In DendroPy, the :meth:`Tree.encode_bipartitions()` method calculates the
-bipartitions of a tree. The :attr:`Edge.bipartition` attribute of each edge
-will be populated by a :class:`Bipartition` instance, each of which has the
-bipartition's split bitmask stored in the :attr:`Bipartition.split_bitmask`
-attribute and the leafset bitmask stored in the
-:attr:`Bipartition.leaf_bitmask` attribute. In addition, each
-:class:`Bipartition` also stores a reference to the edge to which it
-corresponds in its :attr:`Bipartition.edge` attribute. For convenience, the
-split bitmask and the leafset bitmask associated with each bipartition of an
-edge can be also be accesed through the :attr:`Edge.split_bitmask` and
-:attr:`Ede.leafset_bitmask` properties, respectively.
-
-You can access these :class:`Bipartition` objects by iterating over the edges
-of the tree, but it might be more convenient to access them through the
-:attr:`Tree.bipartition_encoding` attribute of the :class:`Tree`. You can also
-access a dictionary mapping :class:`Bipartition` instances to their
-corresponding edges through the :attr:`Tree.bipartition_edge_map` attribute, or
-a dictionary mapping split bitmasks to their corresponding edges through the
-:attr:`Tree.split_bitmask_edge_map` attribute.
-
-By default, the :class:`Bipartition` instances created are immutable. This is
-to allow them to be used in sets or dictionary keys, and thus exploit O(1)
-look-up/access performance. The hash value of a :class:`Bipartition` object is
-its :attr:`Bipartition.split_bitmask` attribute; two distinct
-:class:`Bipartition` objects are considered equivalent even if they refer to
-different :class:`Edge` objects on different :class:`Tree` objects if their
-:attr:`Bipartition.split_bitmask` values are the same. If you need to modify
-the values of a :class:`Bipartition`, you need to set the
-:attr:`Bipartition.is_mutable` attribute to `True`. Note that changing any
-values that modify the hash of a :class:`Bipartition` instance that is already
-in a hash container such as a set or dictionary will make that instance or
-possibly other members of the container inaccessible: never change the value of
-a :class:`Bipartition` instance if it is in a set or dictionary.
-
-Calculating Bipartitions on Trees
----------------------------------
-
-A large number of DendroPy functions calculate the split and leafset bitmasks
-in the background: from tree comparison approaches (e.g., calculating the
-Robinson-Foulds distance), to working with within-tree operations (e.g.,
-finding the most-recent common ancestor between two nodes or patrisitic
-distances between taxa), to tree-set operations (e.g., building consensus trees
-or scoring tree leafset credibilities and finding the maximum leafset
-credibility tree).
-
-When passing trees to these methods and functions, these functions will call
-:meth:`Tree.encode_bipartitions()` automatically for you unless you explicitly
-specify that this should not be done by passing in
-'``is_bipartitions_updated=True``'.
-
-The typical usage idiom in this context would be to:
-
-    (1) Establish a common taxon namespace [i.e., creating a global
-        :class:`TaxonNamespace` object and pass it in to all
-        reading/parsing/input operations]
-    (2) Read/load the trees, calling :meth:`Tree.encode_bipartitions()` on each one.
-    (3) Perform the calculations, making sure to specify ``is_bipartitions_updated=True``.
-
-For, example, the following snippet shows how you might count the number of trees in a bootstrap file that have the same topology as a tree of interest::
-
-    import dendropy
-    from dendropy.calculate import treecompare
-    taxa = dendropy.TaxonNamespace()
-    target_tree = dendropy.Tree.get_from_path(
-        "mle.tre",
-        "nexus",
-        taxon_namespace=taxa)
-    count = 0
-    for sup_tree in dendropy.Tree.yield_from_files(
-        files=["boots1.tre", "boots2.tre", "boostraps3.tre"],
-        schema="nexus",
-        taxon_namespace=taxa):
-        d = treecompare.symmetric_difference(target_tree, sup_tree)
-        if d == 0:
-            count += 1
-    print(count)
-
-For this application, it is simpler just to let the calculations take place in the background. But, for example, if for some reason you wanted to do something more complicated, as it calculating the counts with respect to multiple trees of interest, you should try and avoid the redundant recalculation of the bitmasks::
-
-    import dendropy
-
-    from dendropy.calculate import treecompare
-    taxa = dendropy.TaxonNamespace()
-    tree1 = dendropy.Tree.get_from_path(
-        "mle1.tre",
-        "nexus",
-        taxon_namespace=taxa)
-    tree1.encode_bipartitions()
-    tree2 = dendropy.Tree.get_from_path(
-        "mle2.tre",
-        "nexus",
-        taxon_namespace=taxa)
-    tree2.encode_bipartitions()
-    counts1 = 0
-    counts2
-    for sup_tree in dendropy.Tree.yield_from_files(
-        files=["boots1.tre", "boots2.tre", "boostraps3.tre"],
-        schema="nexus",
-        taxon_namespace=taxa):
-        sup_tree.encode_bipartitions()
-        if treecompare.symmetric_difference(
-                tree1, sup_tree, is_bipartitions_updated=True):
-            count1 += 1
-        if treecompare.symmetric_difference(
-                tree2, sup_tree, is_bipartitions_updated=True):
-            count2 += 2
-    print(count1, count2)
-
-Note that in all cases, for bipartitions to be meaningfully compared two conditions must hold:
-
-    1. The trees must reference the *same* operational taxonomic unit namespace
-       object, :class:`TaxonNamespace`.
-    2. The trees must have the same rooting state (i.e., all rooted or all
-       unrooted).
-
diff --git a/doc/source/primer/chars.rst b/doc/source/primer/chars.rst
deleted file mode 100644
index c712ed9..0000000
--- a/doc/source/primer/chars.rst
+++ /dev/null
@@ -1,181 +0,0 @@
-******************
-Character Matrices
-******************
-
-Types of Character Matrices
-===========================
-
-The |CharacterMatrix| object represents character data in DendroPy.
-In most cases, you will not deal with objects of the |CharacterMatrix| class directly, but rather with objects of one of the classes specialized to handle specific data types:
-
-    - |DnaCharacterMatrix|, for DNA nucleotide sequence data
-    - |RnaCharacterMatrix|, for RNA nucleodtide sequence data
-    - |ProteinCharacterMatrix|, for amino acid sequence data
-    - |StandardCharacterMatrix|, for discrete-value data
-    - |ContinuousCharacterMatrix|, for continuous-valued data
-
-The |ContinuousCharacterMatrix| class represents its character values directly.
-Typically, all other classes represent its character values as special :class:`~dendropy.datamodel.charstatemodel.StateIdentity` instances, *not* as strings.
-So, for example, the DNA character "A" is modeled by a special :class:`~dendropy.datamodel.charstatemodel.StateIdentity` instance (created by the DendroPy library).
-While it is represented by the string "A", and can be converted to the string and back again, it is not the same as the string "A".
-Each discrete |CharacterMatrix| instance has one or more :class:`~dendropy.datamodel.charstatemodel.StateAlphabet` instances associated with it that manage the collection of letters that make up the character data.
-In the case of, e.g. DNA, RNA, protein and other specialized discrete data, this are pre-defined by DendroPy: ``dendropy.DNA_STATE_ALPHABET``, ``dendropy.RNA_STATE_ALPHABET``, etc.
-In the case of "standard" character data, these are created for each matrix separately. Facilities are provided for the creation of custom state alphabets and for the sharing of state alphabets between different |StandardCharacterMatrix| instances.
-
-Reading and Writing Character Data
-==================================
-
-As with most other phylogenetic data objects, objects of the |CharacterMatrix|-derived classes support the "|get|" factory method to populate objects from a data source.
-This method takes a data source as the first keyword argument and a :ref:`schema specification string <Specifying_the_Data_Source_Format>` ("``nexus``", "``newick``", "``nexml``", "``fasta``", or "``phylip``", etc.) as the second::
-
-    import dendropy
-    dna1 = dendropy.DnaCharacterMatrix.get(file=open("pythonidae.fasta"), schema="fasta")
-    dna2 = dendropy.DnaCharacterMatrix.get(url="http://purl.org/phylo/treebase/phylows/matrix/TB2:M2610?format=nexus", schema="nexus")
-    aa1 = dendropy.ProteinCharacterMatrix.get(file=open("pythonidae.dat"), schema="phylip")
-    std1 = dendropy.StandardCharacterMatrix.get(path="python_morph.nex", schema="nexus")
-    std2 = dendropy.StandardCharacterMatrix.get(data=">t1\n01011\n\n>t2\n11100", schema="fasta")
-
-
-The "|write|" method allows you to write the data of a |CharacterMatrix| to a file-like object or a file path::
-
-    dna1 = dendropy.DnaCharacterMatrix.get(file=open("pythonidae.nex"), schema="nexus")
-    dna1.write(path="out.nexml", schema="nexml")
-    dna1.write(file=open("out.fasta", schema="fasta")
-
-You can also represent the data as a string using the :meth:`as_string` method::
-
-    dna1 = dendropy.DnaCharacterMatrix.get(file=open("pythonidae.nex"), schema="nexus")
-    s = dna1.as_string(schema="fasta")
-    print(s)
-
-
-In addition, fine-grained control over the reading and writing of data is available through various :ref:`keyword arguments <Customizing_Data_Creation_and_Reading>`.
-
-More information on reading operations is available in the :doc:`/primer/reading_and_writing` section.
-
-Creating a Character Data Matrix from a Dictionary of Strings
-=============================================================
-
-The :meth:`~dendropy.datamodel.charmatrixmodel.CharacterMatrix.from_dict` factory method creates a new |CharacterMatrix| from a dictionary mapping taxon labels to sequences represented as strings::
-
-    import dendropy
-    d = {
-            "s1" : "TCCAA",
-            "s2" : "TGCAA",
-            "s3" : "TG-AA",
-    }
-    dna = dendropy.DnaCharacterMatrix.from_dict(d)
-
-Taxon Management with Character Matrices
-========================================
-
-Taxon management with |CharacterMatrix|-derived objects work very much the same as it does with |Tree| or |TreeList| objects every time a |CharacterMatrix|-derived object is independentally created or read, a new |TaxonNamespace| is created, unless an existing one is specified.
-Thus, again, if you are creating multiple character matrices that refer to the same set of taxa, you will want to make sure to pass each of them a common |TaxonNamespace| reference::
-
-    import dendropy
-    taxa = dendropy.TaxonNamespace()
-    dna1 = dendropy.DnaCharacterMatrix.get(
-        path="pythonidae_cytb.fasta",
-        schema="fasta",
-        taxon_namespace=taxa)
-    prot1 = dendropy.ProteinCharacterMatrix.get(
-        path="pythonidae_morph.nex",
-        schema="nexus",
-        taxon_namespace=taxa)
-    trees = dendropy.TreeList.get(
-        path="pythonidae.trees.nex",
-        schema="nexus",
-        taxon_namespace=taxa)
-
-Concatenating Multiple Data Matrices
-====================================
-
-A new |CharacterMatrix| can be created from multiple existing matrices using the :meth:`~dendropy.datamodel.charmatrixmodel.CharacterMatrix.concatentate()` factory method, which takes a list or an iterable of |CharacterMatrix| instances as an argument.
-        All the CharacterMatrix objects in the list must be of the
-        same type, and share the same TaxonNamespace reference. All taxa
-        must be present in all alignments, all all alignments must
-        be of the same length. Component parts will be recorded as
-        character subsets.
-
-For example:
-
-.. literalinclude:: /examples/char_mat_concat.py
-
-
-results in ::
-
-    d1: 12 sequences, 231 characters
-    d2: 12 sequences, 231 characters
-    d3: 12 sequences, 231 characters
-    d_all: 12 sequences, 693 characters
-    Subsets: {'locus002': <dendropy.datamodel.charmatrixmodel.CharacterSubset object at 0x101d792d0>, 'locus000': <dendropy.datamodel.charmatrixmodel.CharacterSubset object at 0x101d79250>, 'locus001': <dendropy.datamodel.charmatrixmodel.CharacterSubset object at 0x101d79290>}
-
-You can instantiate a concatenated matrix from multiple sources using the :meth:`~dendropy.datamodel.charmatrixmodel.CharacterMatrix.concatentate_from_paths()` or :meth:`~dendropy.datamodel.charmatrixmodel.CharacterMatrix.concatentate_from_streams()` factory methods:
-
-.. literalinclude:: /examples/char_mat_concat2.py
-
-Sequence Management
-===================
-
-A range of methods also exist for importing data from another matrix object.
-These vary depending on how "new" and "existing" are treated.  A "new"
-sequence is a sequence in the other matrix associated with a |Taxon|
-object for which there is no sequence defined in the current matrix.  An
-"existing" sequence is a sequence in the other matrix associated with a
-|Taxon| object for which there *is* a sequence defined in the
-current matrix.
-
-+---------------------------------+---------------------------------------------------------------------------------+--------------------------------------------------------------------------------+
-|                                 | New Sequences: IGNORED                                                          | New Sequences: ADDED                                                           |
-+=================================+=================================================================================+================================================================================+
-| Existing Sequences: IGNORED     | [NO-OP]                                                                         | :meth:`~dendropy.datamodel.charmatrixmodel.CharacterMatrix.add_sequences()`    |
-+---------------------------------+---------------------------------------------------------------------------------+--------------------------------------------------------------------------------+
-| Existing Sequences: OVERWRITTEN | :meth:`~dendropy.datamodel.charmatrixmodel.CharacterMatrix.replace_sequences()` | :meth:`~dendropy.datamodel.charmatrixmodel.CharacterMatrix.update_sequences()` |
-+---------------------------------+---------------------------------------------------------------------------------+--------------------------------------------------------------------------------+
-| Existing Sequences: EXTENDED    | :meth:`~dendropy.datamodel.charmatrixmodel.CharacterMatrix.extend_sequences()`  | :meth:`~dendropy.datamodel.charmatrixmodel.CharacterMatrix.extend_matrix()`    |
-+---------------------------------+---------------------------------------------------------------------------------+--------------------------------------------------------------------------------+
-
-More information cane be found in the source documentation:
-
--   :meth:`~dendropy.datamodel.charmatrixmodel.CharacterMatrix.add_sequences()`
--   :meth:`~dendropy.datamodel.charmatrixmodel.CharacterMatrix.replace_sequences()`
--   :meth:`~dendropy.datamodel.charmatrixmodel.CharacterMatrix.update_sequences()`
--   :meth:`~dendropy.datamodel.charmatrixmodel.CharacterMatrix.extend_sequences()`
--   :meth:`~dendropy.datamodel.charmatrixmodel.CharacterMatrix.extend_matrix()`
-
-In addition there are methods for selecting removing sequences:
-
--   :meth:`~dendropy.datamodel.charmatrixmodel.CharacterMatrix.remove_sequences()`
--   :meth:`~dendropy.datamodel.charmatrixmodel.CharacterMatrix.discard_sequences()`
--   :meth:`~dendropy.datamodel.charmatrixmodel.CharacterMatrix.keep_sequences()`
-
-As well as "filling out" a matrix by adding columns or rows:
-
--   :meth:`~dendropy.datamodel.charmatrixmodel.CharacterMatrix.fill_taxa()`
--   :meth:`~dendropy.datamodel.charmatrixmodel.CharacterMatrix.fill()`
--   :meth:`~dendropy.datamodel.charmatrixmodel.CharacterMatrix.pack()`
-
-Accessing Data
-==============
-
-A |CharacterMatrix| behaves very much like a dictionary, where the "keys" are |Taxon| instances, which can be dereferenced using the instance itself, the taxon label, or the index of the taxon in the collection (note: this is *not* neccessarily the same as the accession index, which is the basis for bipartition collection).
-
-For example:
-
-.. literalinclude:: /examples/chars_access1.py
-
-You can also iterate over the matrix in a number of ways:
-
-.. literalinclude:: /examples/chars_access2.py
-
-
-The "values" return by dereferencing the "keys" of a |CharacterMatrix|  objects are |CharacterDataSequence| objects.
-Objects of this class behave very much like lists, where the elements are either numeric values for |ContinuousCharacterMatrix| matrices:
-
-.. literalinclude:: /examples/chars_access3.py
-
-or |StateIdentity| instances for all other types of matrices:
-
-.. literalinclude:: /examples/chars_access4.py
-
-As can be seen, you can use :meth:`~dendropy.datamodel.charmatrixmodel.CharacterDataSequence.values()` to get a list of the values of the sequence directly, :meth:`~dendropy.datamodel.charmatrixmodel.CharacterDataSequence.symbols_as_list()` to get a list of the values represented as strings, and :meth:`~dendropy.datamodel.charmatrixmodel.CharacterDataSequence.symbols_as_string()` to get the string representation of the whole sequence.
diff --git a/doc/source/primer/converting.rst b/doc/source/primer/converting.rst
deleted file mode 100644
index 05561ff..0000000
--- a/doc/source/primer/converting.rst
+++ /dev/null
@@ -1,86 +0,0 @@
-*******************************
-Converting Between Data Formats
-*******************************
-
-Any data in a schema that can be read by DendroPy, can be saved to files in any schema that can be written by DendroPy.
-Converting data between formats is simply a matter of calling readers and writers of the appropriate type.
-
-Converting from FASTA schema to NEXUS::
-
-    >>> import dendropy
-    >>> cytb = dendropy.DnaCharacterMatrix.get(path="pythonidae_cytb.fasta", schema="fasta")
-    >>> cytb.write(path="pythonidae_cytb.nexus", schema="nexus")
-
-Converting a collection of trees from NEXUS schema to Newick::
-
-    >>> import dendropy
-    >>> post_trees = dendropy.TreeList()
-    >>> post_trees.read(
-    ...         file=open("pythonidae.nex.run1.t", "r")
-    ...         schema="nexus",
-    ...         tree_offset=200)
-    >>> post_trees.read(
-    ...         path="pythonidae.nex.run2.t",
-    ...         schema="nexus",
-    ...         tree_offset=200)
-    >>> post_trees.write(
-    ...     path="pythonidae.mcmc.newick",
-    ...     schema="newick")
-
-Converting a single tree from Newick schema to NEXUS::
-
-    >>> import dendropy
-    >>> mle = dendropy.Tree.get(path="pythonidae.mle.newick", schema="newick")
-    >>> mle.write(path="pythonidae.mle.nex", schema="nexus")
-
-Collecting data from multiple sources and writing to a NEXUS-formatted file::
-
-    >>> import dendropy
-    >>> ds = dendropy.DataSet()
-    >>> tns = ds.new_taxon_namespace()
-    >>> ds.attach_taxon_namespace(tns)
-    >>> ds.read(
-    ...     path="pythonidae_cytb.fasta",
-    ...     schema="fasta",
-    ...     data_type="dna")
-    >>> ds.read(
-    ...     path="pythonidae_aa.nex",
-    ...     schema="nexus")
-    >>> ds.read(
-    ...     path="pythonidae_morph.nex",
-    ...     schema="nexus")
-    >>> ds.read(
-    ...     path="pythonidae_trees.tre",
-    ...     schema="newick")
-    >>> ds.write(
-    ...     path="pythonidae_combined.nex",
-    ...     schema="nexus")
-
-Note how we create a new |TaxonNamespace| instance using the :meth:`~dendropy.datamodel.DataSet.new_taxon_namespace` method, and then "bind" or attach it to the |DataSet| instance using the :meth:`~dendropy.datamodel.DataSet.attach_taxon_namespace()` method.
-This ensures that all new data parsed by the |DataSet| instance will reference the same |TaxonNamespace| instance, i.e., all taxon labels will be mapped to the same set of |Taxon| objects.
-Alternatively, we could also have explicitly passed in the |TaxonNamespace| instance to use for each reading operation::
-
-    >>> import dendropy
-    >>> ds = dendropy.DataSet()
-    >>> tns = ds.new_taxon_namespace()
-    >>> ds.read(
-    ...     path="pythonidae_cytb.fasta",
-    ...     schema="fasta",
-    ...     data_type="dna",
-    ...     taxon_namespace=tns)
-    >>> ds.read(
-    ...     path="pythonidae_aa.nex",
-    ...     schema="nexus",
-    ...     taxon_namespace=tns)
-    >>> ds.read(
-    ...     path="pythonidae_morph.nex",
-    ...     schema="nexus",
-    ...     taxon_namespace=tns)
-    >>> ds.read(
-    ...     path="pythonidae_trees.tre",
-    ...     schema="newick",
-    ...     taxon_namespace=tns)
-    >>> ds.write(
-    ...     path="pythonidae_combined.nex",
-    ...     schema="nexus",
-    ...     taxon_namespace=tns)
diff --git a/doc/source/primer/dataobjects.rst b/doc/source/primer/dataobjects.rst
deleted file mode 100644
index 4c7f45d..0000000
--- a/doc/source/primer/dataobjects.rst
+++ /dev/null
@@ -1,89 +0,0 @@
-*****************************************
-Introduction to Phylogenetic Data Objects
-*****************************************
-
-Primary Phylogenetic Data Objects
-==================================
-
-Phylogenetic data in DendroPy is represented by one or more objects of the following classes:
-
-    |Taxon|
-        A representation of an operational taxonomic unit, with an attribute, :attr:`~dendropy.datamodel.taxonmodel.Taxon.label`, corresponding to the taxon label.
-
-    |TaxonNamespace|
-        A collection of |Taxon| objects representing a distinct definition of taxa (for example, as specified explicitly in a NEXUS "TAXA" block, or implicitly in the set of all taxon labels used across a Newick tree file).
-
-    |Tree|
-        A collection of |Node| and |Edge| objects representing a phylogenetic tree.
-        Each |Tree| object maintains a reference to a |TaxonNamespace| object in its attribute, :attr:`~dendropy.datamodel.treemodel.Tree.taxon_namespace`, which specifies the set of taxa that are referenced by the tree and its nodes. Each |Node| object has a :attr:`~dendropy.datamodel.treemodel.Node.taxon` attribute (which points to a particular |Taxon| object if there is an operational taxonomic unit associated with this node, or is |None| if not), a :attr:`~dendropy.datamodel.treemode [...]
-        In addition, advanced operations with tree data often make use of a |Bipartition| object associated with each |Edge| on a |Tree| (see ":doc:`/primer/bipartitions`" for more information).
-
-
-    |TreeList|
-        A :class:`list` of |Tree| objects. A |TreeList| object has an attribute, :attr:`~dendropy.datamodel.treemodel.TreeList.taxon_namespace`, which specifies the set of taxa that are referenced by all member |Tree| elements. This is enforced when a |Tree| object is added to a |TreeList|, with the |TaxonNamespace| of the |Tree| object and all |Taxon| references of the |Node| objects in the |Tree| mapped to the |TaxonNamespace| of the |TreeList|.
-
-    |CharacterMatrix|
-        Representation of character data, with specializations for different data types: |DnaCharacterMatrix|, |RnaCharacterMatrix|, |ProteinCharacterMatrix|, |StandardCharacterMatrix|, |ContinuousCharacterMatrix|, etc. A |CharacterMatrix| can treated very much like a :class:`dict` object, with
-        |Taxon| objects as keys and character data as values associated with those keys.
-
-    |DataSet|
-        A meta-collection of phylogenetic data, consisting of lists of multiple |TaxonNamespace| objects (:attr:`DataSet.taxon_namespaces`), |TreeList| objects (:attr:`DataSet.tree_lists`), and |CharacterMatrix| objects (:attr:`DataSet.char_matrices`).
-
-
-    |TreeArray|
-        A high-performance container designed to efficiently store and manage (potentially) large collections of structures of (potentially) large trees for processing.
-
-
-Creating New (Empty) Objects
-============================
-
-All of the above names are imported into the the the :mod:`dendropy` namespace, and so to instantiate new, empty objects of these classes, you would need to import :mod:`dendropy`::
-
-    >>> import dendropy
-    >>> tree1 = dendropy.Tree()
-    >>> tree_list11 = dendropy.TreeList()
-    >>> dna1 = dendropy.DnaCharacterMatrix()
-    >>> dataset1 = dendropy.DataSet()
-
-Or import the names directly::
-
-    >>> from dendropy import Tree, TreeList, DnaCharacterMatrix, DataSet
-    >>> tree1 = Tree()
-    >>> tree_list1 = TreeList()
-    >>> dna1 = DnaCharacterMatrix()
-    >>> dataset1 = DataSet()
-
-More details on how to create and populate new objects of various kinds programmatically are given in later chapters (e.g., ":doc:`trees`", ":doc:`chars`", ":doc:`datasets`").
-
-Reading, Writing, and Annotating Phylogenetic Data
-==================================================
-
-DendroPy provides a rich set of tools for reading and writing phylogenetic data
-in various formats, such as NEXUS, Newick, PHYLIP, etc., with *many* options to
-customize and control how the data is ingested and parsed, as well as formatted
-and written-out.
-For example::
-
-    >>> import dendropy
-    >>> tree_list1 = dendropy.TreeList()
-    >>> tree_list1.read_from_path("pythonidae.mcmc1.nex",
-    ...     schema="nexus",
-    ...     collection_offset=0,
-    ...     tree_offset=100)
-    >>> tree_list1.read_from_path("pythonidae.mcmc2.nex",
-    ...     schema="nexus",
-    ...     collection_offset=0,
-    ...     tree_offset=100)
-    >>> tree_list1.write_to_path("combined.newick",
-    ...     suppress_edge_lengths=True,
-    ...     schema="newick")
-
-These are covered in detail in the next chapter, ":doc:`/primer/reading_and_writing`".
-
-
-Support is also available for adding, accessing, and managing rich and
-expressive metadata annotations to many of the above objects and components of
-those objects. This is covered in detail in the
-":doc:`/primer/working_with_metadata_annotations`" chapter.
-
-
diff --git a/doc/source/primer/datasets.rst b/doc/source/primer/datasets.rst
deleted file mode 100644
index 8fb17e1..0000000
--- a/doc/source/primer/datasets.rst
+++ /dev/null
@@ -1,178 +0,0 @@
-*********
-Data Sets
-*********
-
-The |DataSet| class provides for objects that allow you to manage multiple types of phylogenetic data.
-
-It has three primary attributes:
-
-    :attr:`~dendropy.datamodel.datasetmodel.DataSet.taxon_namespaces`
-        A list of all |TaxonNamespace| objects in the |DataSet|, in the order that they were added or read, include |TaxonNamespace| objects added implicitly through being associated with added |TreeList| or |CharacterMatrix| objects.
-
-    :attr:`~dendropy.datamodel.datasetmodel.DataSet.tree_lists`
-        A list of all |TreeList| objects in the |DataSet|, in the order that they were added or read.
-
-    :attr:`~dendropy.datamodel.datasetmodel.DataSet.char_matrices`
-        A list of all |CharacterMatrix| objects in the |DataSet|, in the order that they were added or read.
-
-|DataSet| Creation and Reading
-===============================
-
-Reading and Writing |DataSet| Objects
--------------------------------------
-
-You can use the :meth:`~dendropy.datamodel.datasetmodel.DataSet.get` factory class method for simultaneously instantiating and populating |DataSet| object, taking a data source as the first argument and a :ref:`schema specification string <Specifying_the_Data_Source_Format>` ("``nexus``", "``newick``", "``nexml``", "``fasta``", "``phylip``", etc.) as the second::
-
-    >>> import dendropy
-    >>> ds = dendropy.DataSet.get(
-        path='pythonidae.nex',
-        schema='nexus')
-
-The :meth:`~dendropy.datamodel.datasetmodel.DataSet.read` instance method for reading additional data into existing objects are also supported, taking the same arguments (i.e., a data source, a :ref:`schema specification string <Specifying_the_Data_Source_Format>`, as well as optional :keyword arguments to customize the parse behavior):
-
-.. literalinclude:: /examples/ds1.py
-
-.. Note::
-
-    Note how the :meth:`~dendropy.datamodel.datasetmodel.DataSet.attach_taxon_namespace()` method is called before invoking any ":meth:`~dendropy.datamodel.datasetmodel.DataSet.read`" statements, to ensure that all the taxon references in the data sources get mapped to the same |TaxonNamespace| instance.
-    It is **HIGHLY** recommended that you do this, i.e., manage all data with the same |DataSet| instance under the same taxonomic namespace, unless you have a special reason to include multiple independent taxon "domains" in the same data set.
-
-The ":meth:`~dendropy.datamodel.datasetmodel.DataSet.write`" method allows you to write the data of a |DataSet| to a file-like object or a file path
-The following example aggregates the post-burn in MCMC samples from a series of NEXUS-formatted tree files into a single |TreeList|, then, adds the |TreeList| as well as the original character data into a single |DataSet| object, which is then written out as NEXUS-formatted file:
-
-.. literalinclude:: /examples/dsrw1.py
-
-If you do not want to actually write to a file, but instead simply need a string representing the data in a particular format, you can call the instance method :meth:`as_string()`, passing a :ref:`schema specification string <Specifying_the_Data_Writing_Format>` as the first argument::
-
-    import dendropy
-    ds = dendropy.DataSet()
-    ds.read_from_path('pythonidae.cytb.fasta', 'dnafasta')
-    s = ds.as_string('nexus')
-
-or::
-
-    dna1 = dendropy.DataSet.get(file=open("pythonidae.nex"), schema="nexus")
-    s = dna1.as_string(schema="fasta")
-    print(s)
-
-
-In addition, fine-grained control over the reading and writing of data is available through various keyword arguments.
-More information on reading operations is available in the :doc:`/primer/reading_and_writing` section.
-
-.. Cloning an Existing |DataSet|
-.. -----------------------------
-..
-.. You can also clone an existing |DataSet| object by passing it as an argument to the |DataSet| constructor::
-..
-..     >>> import dendropy
-..     >>> ds1 = dendropy.DataSet.get(
-..     ... path='pythonidae.cytb.fasta',
-..     ... schema='dnafasta')
-..     >>> ds2 = dendropy.DataSet(ds1)
-..
-.. Following this, ``ds2`` will be a *full* deep-copy clone of ``ds1``, with distinct and independent, but identical, |Taxon|, |TaxonNamespace|, |TreeList|, |Tree| and |CharacterMatrix| objects.
-.. Note that, in distinction to the similar cloning methods of |Tree| and |TreeList|, even the |Taxon| and |TaxonNamespace| objects are cloned, meaning that you manipulate the |Taxon| and |TaxonNamespace| objects of ``ds2`` without in any way effecting those of ``ds1``.
-
-Creating a New |DataSet| from Existing |TreeList| and |CharacterMatrix| Objects
--------------------------------------------------------------------------------
-
-You can add independentally created or parsed data objects to a |DataSet| by passing them as unnamed arguments to the constructor:
-
-.. literalinclude:: /examples/ds4.py
-
-Note how we call the instance method :meth:`~dendropy.datamodel.datasetmodel.DataSet.unify_taxon_namespaces()` after the creation of the |DataSet| object.
-This method will remove all existing |TaxonNamespace| objects from the |DataSet|, create and add a new one, and then map all taxon references in all contained |TreeList| and |CharacterMatrix| objects to this new, unified |TaxonNamespace|.
-
-Adding Data to an Exisiting |DataSet|
--------------------------------------
-
-You can add independentally created or parsed data objects to a |DataSet| using the :meth:`~dendropy.datamodel.datasetmodel.DataSet.add()` method::
-
-.. literalinclude:: /examples/ds4.py
-
-Here, again, we call the :meth:`~dendropy.datamodel.datasetmodel.DataSet.unify_taxon_namespaces()` to map all taxon references to the same, common, unified |TaxonNamespace|.
-
-Taxon Management with Data Sets
-===============================
-
-The |DataSet| object, representing a meta-collection of phylogenetic data, differs in one important way from all the other phylogenetic data objects discussed so far with respect to taxon management, in that it is not associated with any particular |TaxonNamespace| object.
-Rather, it maintains a list (in the property :attr:`~dendropy.datamodel.datasetmodel.DataSet.taxon_namespaces`) of *all* the |TaxonNamespace| objects referenced by its contained |TreeList| objects (in the property :attr:`~dendropy.datamodel.datasetmodel.DataSet.tree_lists`) and |CharacterMatrix| objects (in the property :attr:`~dendropy.datamodel.datasetmodel.DataSet.char_matrices`).
-
-With respect to taxon management, |DataSet| objects operate in one of two modes: "detached taxon set" mode and "attached taxon set" mode.
-
-Detached (Multiple) Taxon Set Mode
-----------------------------------
-
-In the "detached taxon set" mode, which is the default, |DataSet| object tracks all |TaxonNamespace| references of their other data members in the property :attr:`~dendropy.datamodel.datasetmodel.DataSet.taxon_namespaces`, but no effort is made at taxon management as such.
-Thus, every time a data source is read with a "detached taxon set" mode |DataSet| object, by default, a new  |TaxonNamespace| object will be created and associated with the |Tree|, |TreeList|, or |CharacterMatrix| objects created from each data source, resulting in multiple |TaxonNamespace| independent references.
-As such, "detached taxon set" mode |DataSet| objects are suitable for handling data with multiple distinct sets of taxa.
-
-For example::
-
-    >>> import dendropy
-    >>> ds = dendropy.DataSet()
-    >>> ds.read(path="primates.nex", schema="nexus")
-    >>> ds.read(path="snakes.nex", schema="nexus")
-
-The dataset, ``ds``, will now contain two distinct sets of |TaxonNamespace| objects, one for the taxa defined in "primates.nex", and the other for the taxa defined for "snakes.nex".
-In this case, this behavior is correct, as the two files do indeed refer to different sets of taxa.
-
-However, consider the following::
-
-    >>> import dendropy
-    >>> ds = dendropy.DataSet()
-    >>> ds.read(path="pythonidae_cytb.fasta", schema="fasta", data_type="dna")
-    >>> ds.read(path="pythonidae_aa.nex", schema="nexus")
-    >>> ds.read(path="pythonidae_morphological.nex", schema="nexus")
-    >>> ds.read(path="pythonidae.mle.tre", schema="nexus")
-
-Here, even though all the data files refer to the same set of taxa, the resulting  |DataSet| object will actually have 4 distinct  |TaxonNamespace| objects, one for each of the independent reads, and a taxon with a particular label in the first file (e.g., "Python regius" of "pythonidae_cytb.fasta") will map to a completely distinct |Taxon| object than a taxon with the same label in the second file (e.g., "Python regius" of "pythonidae_aa.nex").
-This is incorrect behavior, and to achieve the correct behavior with a multiple taxon set mode |DataSet| object, we need to explicitly pass a |TaxonNamespace| object to each of the :meth:`~dendropy.datamodel.datasetmodel.DataSet.read_from_path()` statements::
-
-    >>> import dendropy
-    >>> ds = dendropy.DataSet()
-    >>> ds.read(path="pythonidae_cytb.fasta", schema="fasta", data_type="dna")
-    >>> ds.read(schema="pythonidae_aa.nex", "nexus", taxon_namespace=ds.taxon_namespaces[0])
-    >>> ds.read(schema="pythonidae_morphological.nex", "nexus", taxon_namespace=ds.taxon_namespaces[0])
-    >>> ds.read(schema="pythonidae.mle.tre", "nexus", taxon_namespace=ds.taxon_namespaces[0])
-    >>> ds.write_to_path("pythonidae_combined.nex", "nexus")
-
-In the previous example, the first :meth:`~dendropy.datamodel.datasetmodel.DataSet.read()` statement results in a new |TaxonNamespace| object, which is added to the :attr:`~dendropy.datamodel.datasetmodel.DataSet.taxon_namespaces` property of the |DataSet| object ``ds``.
-This |TaxonNamespace| object gets passed via the ``taxon_namespace`` keyword to subsequent :meth:`~dendropy.datamodel.datasetmodel.DataSet.read_from_path()` statements, and thus as each of the data sources are processed, the taxon references get mapped to |Taxon| objects in the same, single, |TaxonNamespace| object.
-
-While this approach works to ensure correct taxon mapping across multiple data object reads and instantiation, in this context, it is probably more convenient to use the |DataSet| in "attached taxon set" mode.
-In fact, it is highly recommended that |DataSet| instances *always* use the "attached taxon set" mode, as, conceptually there are very few cases where a collection of data should span multiple independent taxon namespaces.
-
-Attached (Single) Taxon Set Mode
---------------------------------
-In the "attached taxon set" mode, |DataSet| objects ensure that the taxon references of all data objects that are added to them are mapped to the same |TaxonNamespace| object (at least one for each independent read or creation operation).
-The "attached taxon set" mode is activated by calling the :meth:`~dendropy.datamodel.datasetmodel.DataSet.attach_taxon_namespace` method on a |DataSet| and passing in the |TaxonNamespace| to use::
-
-    >>> import dendropy
-    >>> ds = dendropy.DataSet()
-    >>> taxa = dendropy.TaxonNamespace(label="global")
-    >>> ds.attach_taxon_namespace(taxa)
-    >>> ds.read_from_path("pythonidae_cytb.fasta", "dnafasta")
-    >>> ds.read_from_path("pythonidae_aa.nex", "nexus")
-    >>> ds.read_from_path("pythonidae_morphological.nex", "nexus")
-    >>> ds.read_from_path("pythonidae.mle.tre", "nexus")
-
-Switching Between Attached and Detached Taxon Set Modes
--------------------------------------------------------
-As noted above, you can use the :meth:`~dendropy.datamodel.datasetmodel.DataSet.attached_taxon_namespace()` method to switch a |DataSet| object to attached taxon set mode.
-To restore it to multiple taxon set mode, you would use the :meth:`~dendropy.datamodel.datasetmodel.DataSet.detach_taxon_namespace()` method::
-
-    >>> import dendropy
-    >>> ds = dendropy.DataSet()
-    >>> taxa = dendropy.TaxonNamespace(label="global")
-    >>> ds.attach_taxon_namespace(taxa)
-    >>> ds.read_from_path("pythonidae_cytb.fasta", "dnafasta")
-    >>> ds.read_from_path("pythonidae_aa.nex", "nexus")
-    >>> ds.read_from_path("pythonidae_morphological.nex", "nexus")
-    >>> ds.read_from_path("pythonidae.mle.tre", "nexus")
-    >>> ds.detach_taxon_namespace()
-    >>> ds.read_from_path("primates.nex", "nexus")
-
-Here, the same |TaxonNamespace| object is used to manage taxon references for data parsed from the first four files, while the data from the fifth and final file gets its own, distinct, |TaxonNamespace| object and associated |Taxon| object references.
-
-
diff --git a/doc/source/primer/genbank.rst b/doc/source/primer/genbank.rst
deleted file mode 100644
index 0b8a828..0000000
--- a/doc/source/primer/genbank.rst
+++ /dev/null
@@ -1,565 +0,0 @@
-*************************************************
-Working with GenBank Molecular Sequence Databases
-*************************************************
-
-The :mod:`~dendropy.interop.genbank` module provides the classes and methods to download sequences from |GenBank| and instantiate them into |DendroPy| phylogenetic data objects.
-Three classes are provided, all of which have an identical interface, varying only in the type of data retrieved:
-
-   :class:`~dendropy.interop.genbank.GenBankDna`
-
-        Acquire and manage DNA sequence data from the |GenBank| Nucleotide database.
-
-   :class:`~dendropy.interop.genbank.GenBankRna`
-
-        Acquire and manage RNA sequence data from the |GenBank| Nucleotide database.
-
-   :class:`~dendropy.interop.genbank.GenBankProtein`
-
-        Acquire and manage AA sequence data from the |GenBank| Protein database.
-
-
-Quick Start
-===========
-
-The basic way to retrieve sequence data is create a
-:class:`~dendropy.interop.genbank.GenBankDna`,
-:class:`~dendropy.interop.genbank.GenBankRna`, or
-:class:`~dendropy.interop.genbank.GenBankProtein` object, and pass in a list of
-identifiers to be retrieved using the "``ids``"  argument.
-The value of this argument should be a container with either GenBank accession identifiers or GI numbers::
-
-
-    >>> from dendropy.interop import genbank
-    >>> gb_dna = genbank.GenBankDna(ids=['EU105474', 'EU105475'])
-    >>> for gb in gb_dna:
-    ...     print gb
-    gi|158930545|gb|EU105474.1| Homo sapiens Ache non-coding region T864 genomic sequence
-    gi|158930546|gb|EU105475.1| Homo sapiens Arara non-coding region T864 genomic sequence
-
-The records are stored as :class:`~dendropy.interop.genbank.GenBankAccessionRecord` objects.
-These records store the *full* information available in a |GenBank| record, including the references, feature table, qualifiers, and other details, and these are available as attributes of the :class:`~dendropy.interop.genbank.GenBankAccessionRecord` objects (e.g., "``primary_accession``", "``taxonomy``", "``feature_table``" and so on).
-
-To generate a |CharacterMatrix| object from the collection of sequences, call the :meth:`~dendropy.interop.genbank.GenBankDna.generate_char_matrix`  method::
-
-    >>> from dendropy.interop import genbank
-    >>> gb_dna = genbank.GenBankDna(ids=['EU105474', 'EU105475'])
-    >>> char_matrix = gb_dna.generate_char_matrix()
-    >>> print(char_matrix.as_string("nexus"))
-    #NEXUS
-    BEGIN TAXA;
-
-        DIMENSIONS NTAX=2;
-        TAXLABELS
-            EU105474
-            EU105475
-    ;
-    END;
-    BEGIN CHARACTERS;
-        DIMENSIONS  NCHAR=494;
-        FORMAT DATATYPE=DNA GAP=- MISSING=? MATCHCHAR=.;
-        MATRIX
-    EU105474    TCTCTTATCA...
-    EU105475    TCTCTTATCA...
-    ;
-    END;
-
-As can be seen, by default the taxon labels assigned to the sequences are set to the identifier used to request the sequences. This, and many other aspects of the character matrix generation, including annotation of taxa and sequences, can be customized, as discussed in detail below.
-
-Acquiring Data from GeneBank
-============================
-
-The :class:`~dendropy.interop.genbank.GenBankDna`, :class:`~dendropy.interop.genbank.GenBankRna`, and :class:`~dendropy.interop.genbank.GenBankProtein` classes provide for the downloading and management of DNA, RNA, and protein (AA) sequences from |GenBank|.
-The first two of these query the "nucleotide" or "nuccore" database, while the last queries the "protein" database.
-The constructors of these classes accept the following arguments:
-
-    ``ids``
-
-        A list of accession identifiers of GI numbers of the records to be downloaded. E.g. "``ids=['EU105474', 'EU105475']``",  "``ids=['158930545', 'EU105475']``", or  "``ids=['158930545', '158930546']``".
-        If "``prefix``" is specified, this string will be pre-pended to all values in the list.
-
-    ``id_range``
-        A tuple of *integers* that specify the first and last values (inclusive) of accession or GI numbers of the records to be downloaded. If "``prefix``" is specified, this string will be prepended to all numbers in this range.
-        Thus specifying "``id_range=(158930545, 158930550)``" is exactly equivalent to specifying "``ids=[158930545, 158930546, 158930547, 158930548, 158930549, 158930550]``", while specifying "``id_range=(105474, 105479), prefix="EU"``" is exactly equivalent tp specifying "``ids=["EU105474", "EU105475", "EU105476", "EU105477", "EU105478", "EU105479"]``".
-
-
-    ``prefix``
-        This string will be prepended to all values resulting from the "``ids``" and "``id_range``".
-
-
-    ``verify``
-        By default, the results of the download are checked to make sure there is a one-to-one correspondence between requested id's and retrieved records. Setting "``verify=False``" skips this checking.
-
-So, for example, the following are all different ways of instantiating |GenBank| resource data store::
-
-    >>> from dendropy.interop import genbank
-    >>> gb_dna = genbank.GenBankDna(ids=['EU105474', 'EU105475'])
-    >>> gb_dna = genbank.GenBankDna(ids=['158930545', 'EU105475'])
-    >>> gb_dna = genbank.GenBankDna(ids=['158930545', '158930546'])
-    >>> gb_dna = genbank.GenBankDna(ids=['105474', '105475'], prefix="EU")
-    >>> gb_dna = genbank.GenBankDna(id_range=(105474, 105478), prefix="EU")
-    >>> gb_dna = genbank.GenBankDna(id_range=(158930545, 158930546))
-
-You can add more records to an existing instance of :class:`~dendropy.interop.genbank.GenBankDna`, :class:`~dendropy.interop.genbank.GenBankRna`, or :class:`~dendropy.interop.genbank.GenBankProtein` objects by using the "``acquire``" or "``acquire_range``" methods.
-The "``acquire``" method takes a sequence of accession identifiers or GI numbers for the first argument ("``ids``"), and, in addition an optional string prefix to be prepended can be supplied using the second argument, "``prefix``", while verification can be disabled by specifying |False| for the third argument, "``verify``".
-The "``acquire_range``" method takes two mandatory *integer* arguments: the first and last value of the range of accession or GI numbers of the records to be downloaded.
-As with the other method, a string prefix to be prepended can be optionally supplied using the argument "``prefix``", while verification can be disabled by specifying "``verify=|False|``".
-For example::
-
-
-    >>> from dendropy.interop import genbank
-    >>> gb_dna = genbank.GenBankDna(['EU105474', 'EU105475'])
-    >>> print len(gb_dna)
-    >>> gb_dna.acquire([158930547, 158930548])
-    >>> print len(gb_dna)
-    >>> gb_dna.acquire_range(105479, 105480, prefix="EU")
-    >>> print len(gb_dna)
-    2
-    4
-    6
-
-Accessing GenBank Records
-=========================
-
-The |GenBank| records accumulated in :class:`~dendropy.interop.genbank.GenBankDna`, :class:`~dendropy.interop.genbank.GenBankRna`, and :class:`~dendropy.interop.genbank.GenBankProtein` objects are represented by collections of :class:`~dendropy.interop.genbank.GenBankAccessionRecord` objects.
-Each of these :class:`~dendropy.interop.genbank.GenBankAccessionRecord` objects represent the full information from the |GenBank| source as a rich Python object.
-
-    >>> from dendropy.interop import genbank
-    >>> gb_dna = genbank.GenBankDna(['EU105474', 'EU105475'])
-    >>> for gb_rec in gb_dna:
-    ...    print gb_rec.gi
-    ...    print gb_rec.locus
-    ...    print gb_rec.length
-    ...    print gb_rec.moltype
-    ...    print gb_rec.topology
-    ...    print gb_rec.strandedness
-    ...    print gb_rec.division
-    ...    print gb_rec.update_date
-    ...    print gb_rec.create_date
-    ...    print gb_rec.definition
-    ...    print gb_rec.primary_accession
-    ...    print gb_rec.accession_version
-    ...    print "(other seq ids)"
-    ...    for osi_key, osi_value in gb_rec.other_seq_ids.items():
-    ...        print "    ", osi_key, osi_value
-    ...    print gb_rec.source
-    ...    print gb_rec.organism
-    ...    print gb_rec.taxonomy
-    ...    print "(references)"
-    ...    for ref in gb_rec.references:
-    ...        print "    ", ref.number , ref.position , ref.authors , ref.consrtm , ref.title , ref.journal , ref.medline_id , ref.pubmed_id , ref.remark
-    ...    print "(feature_table)"
-    ...    for feature in gb_rec.feature_table:
-    ...        print "    ", feature.key, feature.location
-    ...        for qualifier in feature.qualifiers:
-    ...            print "        ", qualifier.name, qualifier.value
-    ...
-    158930545
-    EU105474
-    494
-    DNA
-    linear
-    double
-    PRI
-    27-NOV-2007
-    27-NOV-2007
-    Homo sapiens Ache non-coding region T864 genomic sequence
-    EU105474
-    EU105474.1
-    (other seq ids)
-        gb EU105474.1
-        gi 158930545
-    Homo sapiens (human)
-    Homo sapiens
-    Eukaryota; Metazoa; Chordata; Craniata; Vertebrata; Eutel...
-    (references)
-        1 1..494 [] None Statistical evaluation of alternativ...
-        2 1..494 [] None Direct Submission Submitted (17-AUG-...
-    (feature_table)
-        source 1..494
-            organism Homo sapiens
-            mol_type genomic DNA
-            db_xref taxon:9606
-            chromosome 18
-            note Ache
-        misc_feature 1..494
-            note non-coding region T864
-    .
-    .
-    .
-    (etc.)
-
-Generating Character Matrix Objects from GenBank Data
-=====================================================
-
-The "``generate_char_matrix()``" method of :class:`~dendropy.interop.genbank.GenBankDna`, :class:`~dendropy.interop.genbank.GenBankRna`, and :class:`~dendropy.interop.genbank.GenBankProtein` objects creates and returns a |CharacterMatrix| object of the appropriate type out of the data collected in them.
-When called without any arguments, it generates a new |TaxonNamespace| block, creating one new |Taxon| object for every sequence in the collection with a label corresponding to the identifier used to request the sequence::
-
-    >>> from dendropy.interop import genbank
-    >>> gb_dna = genbank.GenBankDna(ids=[158930545, 'EU105475'])
-    >>> char_matrix = gb_dna.generate_char_matrix()
-    >>> print char_matrix.as_string("nexus")
-    #NEXUS
-
-    BEGIN TAXA;
-
-        DIMENSIONS NTAX=2;
-        TAXLABELS
-            158930545
-            EU105475
-    ;
-    END;
-
-    BEGIN CHARACTERS;
-        DIMENSIONS  NCHAR=494;
-        FORMAT DATATYPE=DNA GAP=- MISSING=? MATCHCHAR=.;
-        MATRIX
-    158930545    TCTCTTATCAAACTA...
-    EU105475     TCTCTTATCAAACTA...
-        ;
-    END;
-
-
-    BEGIN SETS;
-    END;
-
-
-Customizing/Controlling Sequence Taxa
--------------------------------------
-
-The taxon assignment can be controlled in one of two ways:
-
-    1. Using the "``label_components``" and optionally the "``label_component_separator``" arguments.
-    2. Specifying a custom function using the "``gb_to_taxon_func``" argument that takes a :class:`~dendropy.interop.genbank.GenBankAccessionRecord` object and returns the |Taxon| object to be assigned to the sequence; this approach requires specification of a |TaxonNamespace| object passed using the "``taxon_namespace``" argument.
-
-Specifying a Custom Label for Sequence Taxa
-...........................................
-
-The "``label_components``" and the "``label_component_separator``" arguments allow for customization of the taxon labels of the |Taxon| objects created for each sequence.
-The "``label_components``" argument should be assigned an ordered container (e.g., a list) of strings that correspond to attributes of objects of the :class:`~dendropy.interop.genbank.GenBankAccessionRecord` class.
-The values of these attributes will be concatenated to compose the |Taxon| object label.
-By default, the components will be separated by spaces, but you can override this by passing the string to be used by the "``label_component_separator``" argument.
-For example::
-
-
-    >>> from dendropy.interop import genbank
-    >>> gb_dna = genbank.GenBankDna(ids=[158930545, 'EU105475'])
-    >>> char_matrix = gb_dna.generate_char_matrix(
-    ... label_components=["accession", "organism", ],
-    ... label_component_separator="_")
-    >>> print [t.label for t in char_matrix.taxon_namespace]
-    ['EU105474_Homo_sapiens', 'EU105475_Homo_sapiens']
-    >>> char_matrix = gb_dna.generate_char_matrix(
-    ... label_components=["organism", "moltype", "gi"],
-    ... label_component_separator=".")
-    >>> print [t.label for t in char_matrix.taxon_namespace]
-    ['Homo.sapiens.DNA.158930545', 'Homo.sapiens.DNA.158930546']
-
-Specifying a Custom Taxon-Discovery Function
-............................................
-
-Full control over the |Taxon| object assignment process is given by using the "``gb_to_taxon_func``" argument.
-This should be used to specify a function that takes a :class:`~dendropy.interop.genbank.GenBankAccessionRecord` object and returns the |Taxon| object to be assigned to the sequence.
-The specification of a |TaxonNamespace| object passed using the "``taxon_namespace``" argument is also required, so that this can be assigned to the |CharacterMatrix| object.
-
-A simple example that illustrates the usage of the "``gb_to_taxon_func``" argument by creating a custom label::
-
-    #! /usr/bin/env python
-
-    import dendropy
-    from dendropy.interop import genbank
-
-    def gb_to_taxon(gb):
-        locality = gb.feature_table.find("source").qualifiers.find("note").value
-        label = "GI" + gb.gi + "." + locality
-        taxon = dendropy.Taxon(label=label)
-        return taxon
-
-    taxon_namespace = dendropy.TaxonNamespace()
-
-    gb_dna = genbank.GenBankDna(ids=[158930545, 'EU105475'])
-    char_matrix = gb_dna.generate_char_matrix(
-        taxon_namespace=taxon_namespace,
-        gb_to_taxon_func=gb_to_taxon)
-    print [t.label for t in char_matrix.taxon_namespace]
-
-which results in::
-
-    ['GI158930545.Ache', 'GI158930546.Arara']
-
-A more complex case might be where you may already have a |TaxonNamespace| with existing |Taxon| objects that you may want to associate with the sequences.
-The following illustrates how to do this::
-
-
-    #! /usr/bin/env python
-
-    import dendropy
-    from dendropy.interop import genbank
-
-    tree = dendropy.Tree.get_from_string(
-        "(Ache, (Arara, (Bribri, (Guatuso, Guaymi))))",
-        "newick")
-    def gb_to_taxon(gb):
-        locality = gb.feature_table.find("source").qualifiers.find("note").value
-        taxon = tree.taxon_namespace.get_taxon(label=locality)
-        assert taxon is not None
-        return taxon
-
-    gb_ids = [158930545, 158930546, 158930547, 158930548, 158930549]
-
-    gb_dna = genbank.GenBankDna(ids=gb_ids)
-    char_matrix = gb_dna.generate_char_matrix(
-        taxon_namespace=tree.taxon_namespace,
-        gb_to_taxon_func=gb_to_taxon)
-    print [t.label for t in char_matrix.taxon_namespace]
-    print tree.taxon_namespace is char_matrix.taxon_namespace
-    for taxon in tree.taxon_namespace:
-        print "{}: {}".format(
-            taxon.label,
-            char_matrix[taxon].symbols_as_string()[:10])
-
-which results in::
-
-    True
-    Ache: TCTCTTATCA
-    Arara: TCTCTTATCA
-    Bribri: TCTCTTATCA
-    Guatuso: TCTCTTATCA
-    Guaymi: TCTCTTATCA
-    ['Ache', 'Arara', 'Bribri', 'Guatuso', 'Guaymi']
-
-The important thing to note here is the the |Taxon| objects in the |DnaCharacterMatrix| do not just have the same labels as the |Taxon| object in the |Tree|, "``tree``", but actually *are* the same objects (i.e., reference the same operational taxonomic units within |DendroPy|).
-
-Adding the GenBank Record as an Attribute
------------------------------------------
-
-It is sometimes useful to maintain a handle on the original GenBank record in the |CharacterMatrix| resulting from "``generate_char_matrix()``".
-The "``set_taxon_attr``"  and "``set_seq_attr``" arguments of the "``generate_char_matrix()``" method allow you to this.
-The values supplied to these arguments should be strings that specify the name of the attribute that will be created on the |Taxon| or |CharacterDataSequence| objects, respectively.
-The value of this attribute will be the :class:`~dendropy.interop.genbank.GenBankAccessionRecord` that underlies the |Taxon| or |CharacterDataSequence| sequence.
-For example::
-
-    #! /usr/bin/env python
-
-    import dendropy
-    from dendropy.interop import genbank
-    gb_dna = genbank.GenBankDna(ids=[158930545, 'EU105475'])
-    char_matrix = gb_dna.generate_char_matrix(set_taxon_attr="gb_rec")
-    for taxon in char_matrix.taxon_namespace:
-        print "Data for taxon '{}' is based on GenBank record: {}".format(
-            taxon.label,
-            taxon.gb_rec.definition)
-
-will result in::
-
-    Data for taxon '158930545' is based on GenBank record: Homo sapiens Ache non-coding region T864 genomic sequence
-    Data for taxon 'EU105475' is based on GenBank record: Homo sapiens Arara non-coding region T864 genomic sequence
-
-Alternatively, the following::
-
-    #! /usr/bin/env python
-
-    import dendropy
-    from dendropy.interop import genbank
-    gb_dna = genbank.GenBankDna(ids=[158930545, 'EU105475'])
-    char_matrix = gb_dna.generate_char_matrix(set_seq_attr="gb_rec")
-    for sidx, sequence in enumerate(char_matrix.vectors()):
-        print "Sequence {} ('{}') is based on GenBank record: {}".format(
-            sidx+1,
-            char_matrix.taxon_namespace[sidx].label,
-            sequence.gb_rec.defline)
-
-will result in::
-
-    Sequence 1 ('158930545') is based on GenBank record: gi|158930545|gb|EU105474.1| Homo sapiens Ache non-coding region T864 genomic sequence
-    Sequence 2 ('EU105475') is based on GenBank record: gi|158930546|gb|EU105475.1| Homo sapiens Arara non-coding region T864 genomic sequence
-
-Annotating with GenBank Data and Metadata
------------------------------------------
-
-To persist the information in a the :class:`~dendropy.interop.genbank.GenBankAccessionRecord` object through serialization and deserialization, you can request that this information gets added as an  :class:`~dendropy.datamodel.basemodel.Annotation` (see ":doc:`Working with Metadata Annotations </primer/working_with_metadata_annotations>`") to the corresponding |Taxon| or |CharacterDataSequence| object.
-
-Reference Annotation
-....................
-
-Specifying "`add_ref_annotation_to_taxa=True`" will result in a reference-style metadata annotation added to the |Taxon| object, while specifying "`add_ref_annotation_to_seqs=True`" will result in a reference-style metadata annotation added to the sequence.
-The reference-style annotation is brief, single annotation that points to the URL of the original record.
-As with metadata annotations in general, you really need to be using the NeXML format for full functionality.
-
-So, for example::
-
-    #! /usr/bin/env python
-
-    import dendropy
-    from dendropy.interop import genbank
-    gb_dna = genbank.GenBankDna(ids=[158930545, 'EU105475'])
-    char_matrix = gb_dna.generate_char_matrix(add_ref_annotation_to_taxa=True)
-    print char_matrix.as_string("nexml")
-
-
-will result in::
-
-    <?xml version="1.0" encoding="ISO-8859-1"?>
-    <nex:nexml
-        version="0.9"
-        xsi:schemaLocation="http://www.nexml.org/2009 ../xsd/nexml.xsd"
-        xmlns:dcterms="http://purl.org/dc/terms/"
-        xmlns="http://www.nexml.org/2009"
-        xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"
-        xmlns:xml="http://www.w3.org/XML/1998/namespace"
-        xmlns:nex="http://www.nexml.org/2009"
-        xmlns:xsd="http://www.w3.org/2001/XMLSchema#"
-    >
-        <otus id="d4320533416">
-            <otu id="d4323884688" label="158930545">
-                <meta xsi:type="nex:ResourceMeta" rel="dcterms:source" href="http://www.ncbi.nlm.nih.gov/nucleotide/158930545" id="d4323884752" />
-            </otu>
-            <otu id="d4323884816" label="EU105475">
-                <meta xsi:type="nex:ResourceMeta" rel="dcterms:source" href="http://www.ncbi.nlm.nih.gov/nucleotide/EU105475" id="d4323990736" />
-            </otu>
-        </otus>
-        .
-        .
-        .
-    </nex:nexml>
-
-Alternatively::
-
-    #! /usr/bin/env python
-
-    import dendropy
-    from dendropy.interop import genbank
-    gb_dna = genbank.GenBankDna(ids=[158930545, 'EU105475'])
-    char_matrix = gb_dna.generate_char_matrix(add_ref_annotation_to_seqs=True)
-    print char_matrix.as_string("nexml")
-
-will result in::
-
-    <?xml version="1.0" encoding="ISO-8859-1"?>
-    <nex:nexml
-        version="0.9"
-        xsi:schemaLocation="http://www.nexml.org/2009 ../xsd/nexml.xsd"
-        xmlns:dcterms="http://purl.org/dc/terms/"
-        xmlns="http://www.nexml.org/2009"
-        xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"
-        xmlns:xml="http://www.w3.org/XML/1998/namespace"
-        xmlns:nex="http://www.nexml.org/2009"
-        xmlns:xsd="http://www.w3.org/2001/XMLSchema#"
-    >
-            <matrix>
-                <row id="d4320533856" otu="d4322811536">
-                    <meta xsi:type="nex:ResourceMeta" rel="dcterms:source" href="http://www.ncbi.nlm.nih.gov/nucleotide/158930545" id="d4322811600" />
-                    <seq>TCTCTTATCAAAC.../seq>
-                </row>
-                <row id="d4320534384" otu="d4322811664">
-                    <meta xsi:type="nex:ResourceMeta" rel="dcterms:source" href="http://www.ncbi.nlm.nih.gov/nucleotide/EU105475" id="d4322917584" />
-                    <seq>TCTCTTATCAAAC...</seq>
-                </row>
-            </matrix>
-        </characters>
-    </nex:nexml>
-
-Full Annotation
-...............
-
-Specifying "`add_full_annotation_to_taxa=True`" or "`add_full_annotation_to_seqs=True`" will result in the entire GenBank record being added as a set of annotations to the |Taxon| or |CharacterDataSequence| object, respectively.
-
-For example::
-
-    #! /usr/bin/env python
-
-    import dendropy
-    from dendropy.interop import genbank
-    gb_dna = genbank.GenBankDna(ids=[158930545, 'EU105475'])
-    char_matrix = gb_dna.generate_char_matrix(add_full_annotation_to_taxa=True)
-    print char_matrix.as_string("nexml")
-
-will result in the following::
-
-    <?xml version="1.0" encoding="ISO-8859-1"?>
-    <nex:nexml
-        version="0.9"
-        xsi:schemaLocation="http://www.nexml.org/2009 ../xsd/nexml.xsd"
-        xmlns:genbank="http://www.ncbi.nlm.nih.gov/dtd/INSD_INSDSeq.mod.dtd"
-        xmlns:dcterms="http://purl.org/dc/terms/"
-        xmlns="http://www.nexml.org/2009"
-        xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"
-        xmlns:xml="http://www.w3.org/XML/1998/namespace"
-        xmlns:nex="http://www.nexml.org/2009"
-        xmlns:xsd="http://www.w3.org/2001/XMLSchema#"
-    >
-        <otus id="d4320533416">
-            <otu id="d4323884688" label="158930545">
-                <meta xsi:type="nex:ResourceMeta" rel="dcterms:source" href="http://www.ncbi.nlm.nih.gov/nucleotide/158930545" id="d4323884752" >
-                    <meta xsi:type="nex:LiteralMeta" property="genbank:INSDSeq_locus" content="EU105474" id="d4323884880" />
-                    <meta xsi:type="nex:LiteralMeta" property="genbank:INSDSeq_length" content="494" id="d4323884944" />
-                    <meta xsi:type="nex:LiteralMeta" property="genbank:INSDSeq_moltype" content="DNA" id="d4323885008" />
-                    <meta xsi:type="nex:LiteralMeta" property="genbank:INSDSeq_topology" content="linear" id="d4323901520" />
-                    <meta xsi:type="nex:LiteralMeta" property="genbank:INSDSeq_strandedness" content="double" id="d4323901584" />
-                    <meta xsi:type="nex:LiteralMeta" property="genbank:INSDSeq_division" content="PRI" id="d4323901648" />
-                    <meta xsi:type="nex:LiteralMeta" property="genbank:INSDSeq_update-date" content="27-NOV-2007" id="d4323901712" />
-                    <meta xsi:type="nex:LiteralMeta" property="genbank:INSDSeq_create-date" content="27-NOV-2007" id="d4323901776" />
-                    <meta xsi:type="nex:LiteralMeta" property="genbank:INSDSeq_definition" content="Homo sapiens Ache non-coding region T864 genomic sequence" id="d4323901840" />
-                    <meta xsi:type="nex:LiteralMeta" property="genbank:INSDSeq_primary-accesison" content="EU105474" id="d4323901904" />
-                    <meta xsi:type="nex:LiteralMeta" property="genbank:INSDSeq_accession-version" content="EU105474.1" id="d4323901968" />
-                    <meta xsi:type="nex:ResourceMeta" rel="genbank:otherSeqIds" id="d4323902032" >
-                        <meta xsi:type="nex:LiteralMeta" property="genbank:gb" content="EU105474.1" id="d4323902160" />
-                        <meta xsi:type="nex:LiteralMeta" property="genbank:gi" content="158930545" id="d4323902224" />
-                    </meta>
-                    <meta xsi:type="nex:LiteralMeta" property="genbank:INSDSeq_source" content="Homo sapiens (human)" id="d4323902096" />
-                    <meta xsi:type="nex:LiteralMeta" property="genbank:INSDSeq_organism" content="Homo sapiens" id="d4323902288" />
-                    <meta xsi:type="nex:LiteralMeta" property="genbank:INSDSeq_taxonomy" content="Eukaryota; Metazoa; Chordata; Craniata; Vertebrata; Euteleostomi; Mammalia; Eutheria; Euarchontoglires; Primates; Haplorrhini; Catarrhini; Hominidae; Homo" id="d4323902352" />
-                    <meta xsi:type="nex:ResourceMeta" rel="genbank:INSDSeq_references" id="d4323902416" >
-                        <meta xsi:type="nex:ResourceMeta" rel="genbank:INSDReference_reference" id="d4323902544" >
-                            <meta xsi:type="nex:LiteralMeta" property="genbank:INSDReference_reference" content="1" id="d4323902672" />
-                            <meta xsi:type="nex:LiteralMeta" property="genbank:INSDReference_position" content="1..494" id="d4323902736" />
-                            <meta xsi:type="nex:LiteralMeta" property="genbank:INSDReference_title" content="Statistical evaluation of alternative models of human evolution" id="d4323902800" />
-                            <meta xsi:type="nex:LiteralMeta" property="genbank:INSDReference_journal" content="Proc. Natl. Acad. Sci. U.S.A. 104 (45), 17614-17619 (2007)" id="d4323902864" />
-                            <meta xsi:type="nex:LiteralMeta" property="genbank:INSDReference_pubmed" content="17978179" id="d4323902928" />
-                        </meta>
-                        <meta xsi:type="nex:ResourceMeta" rel="genbank:INSDReference_reference" id="d4323902608" >
-                            <meta xsi:type="nex:LiteralMeta" property="genbank:INSDReference_reference" content="2" id="d4323903056" />
-                            <meta xsi:type="nex:LiteralMeta" property="genbank:INSDReference_position" content="1..494" id="d4323903120" />
-                            <meta xsi:type="nex:LiteralMeta" property="genbank:INSDReference_title" content="Direct Submission" id="d4323903184" />
-                            <meta xsi:type="nex:LiteralMeta" property="genbank:INSDReference_journal" content="Submitted (17-AUG-2007) Laboratorio de Biologia Genomica e Molecular, Pontificia Universidade Catolica do Rio Grande do Sul, Av Ipiranga 6681, Predio 12C, Sala 172, Porto Alegre, RS 90619-900, Brazil" id="d4323903248" />
-                        </meta>
-                    </meta>
-                    <meta xsi:type="nex:ResourceMeta" rel="genbank:INSDSeq_feature-table" id="d4323902480" >
-                        <meta xsi:type="nex:ResourceMeta" rel="genbank:INSDSeq_feature" id="d4323903312" >
-                            <meta xsi:type="nex:LiteralMeta" property="genbank:INSDFeature_key" content="source" id="d4323903440" />
-                            <meta xsi:type="nex:LiteralMeta" property="genbank:INSDFeature_location" content="1..494" id="d4323903504" />
-                            <meta xsi:type="nex:ResourceMeta" rel="genbank:INSDFeature_quals" id="d4323903376" >
-                                <meta xsi:type="nex:LiteralMeta" property="genbank:organism" content="Homo sapiens" id="d4323903632" />
-                                <meta xsi:type="nex:LiteralMeta" property="genbank:mol_type" content="genomic DNA" id="d4323903696" />
-                                <meta xsi:type="nex:LiteralMeta" property="genbank:db_xref" content="taxon:9606" id="d4323903760" />
-                                <meta xsi:type="nex:LiteralMeta" property="genbank:chromosome" content="18" id="d4323903824" />
-                                <meta xsi:type="nex:LiteralMeta" property="genbank:note" content="Ache" id="d4323903888" />
-                            </meta>
-                        </meta>
-                        <meta xsi:type="nex:ResourceMeta" rel="genbank:INSDSeq_feature" id="d4323903568" >
-                            <meta xsi:type="nex:LiteralMeta" property="genbank:INSDFeature_key" content="misc_feature" id="d4323904016" />
-                            <meta xsi:type="nex:LiteralMeta" property="genbank:INSDFeature_location" content="1..494" id="d4323904080" />
-                            <meta xsi:type="nex:ResourceMeta" rel="genbank:INSDFeature_quals" id="d4323903952" >
-                                <meta xsi:type="nex:LiteralMeta" property="genbank:note" content="non-coding region T864" id="d4323904208" />
-                            </meta>
-                        </meta>
-                    </meta>
-                </meta>
-            </otu>
-            <otu id="d4323884816" label="EU105475">
-                <meta xsi:type="nex:ResourceMeta" rel="dcterms:source" href="http://www.ncbi.nlm.nih.gov/nucleotide/EU105475" id="d4324005904" >
-                    <meta xsi:type="nex:LiteralMeta" property="genbank:INSDSeq_locus" content="EU105475" id="d4324006032" />
-                    <meta xsi:type="nex:LiteralMeta" property="genbank:INSDSeq_length" content="494" id="d4324006096" />
-                    .
-                    .
-                    .
-                    (etc.)
-                </meta>
-            </otu>
-        </otus>
-        .
-        .
-        .
-        (etc.)
-    </nex:nexml>
-
-
diff --git a/doc/source/primer/index.rst b/doc/source/primer/index.rst
deleted file mode 100644
index 946f6c5..0000000
--- a/doc/source/primer/index.rst
+++ /dev/null
@@ -1,78 +0,0 @@
-###################
-The DendroPy Primer
-###################
-
-
-.. contents::
-    :local:
-    :backlinks: none
-
-The DendroPy Data Model: Phylogenetic Data Objects
-==================================================
-
-.. toctree::
-    :maxdepth: 2
-
-    dataobjects.rst
-    reading_and_writing.rst
-    converting.rst
-
-Working with Taxa: Operational Taxonomic Units and Taxon Namespaces
-===================================================================
-
-.. toctree::
-    :maxdepth: 2
-
-    taxa.rst
-    taxa_partitions.rst
-
-Working with Trees and Tree Lists
-=================================
-
-.. toctree::
-    :maxdepth: 2
-
-    trees.rst
-    treecollections.rst
-    treestats.rst
-    treemanips.rst
-    bipartitions.rst
-    treesims.rst
-
-Working with Character Data: Sequences and Matrices
-===================================================
-
-.. toctree::
-    :maxdepth: 2
-
-    chars.rst
-    phylogenetic_character_analyses.rst
-    popgenstats.rst
-
-Working with Data Sets
-======================
-
-.. toctree::
-    :maxdepth: 2
-
-    datasets.rst
-
-
-Working with Metadata Annotations
-=================================
-
-.. toctree::
-    :maxdepth: 2
-
-    working_with_metadata_annotations.rst
-
-Interoperability with Other Programs, Libraries and Applications
-================================================================
-
-.. toctree::
-    :maxdepth: 2
-
-    genbank.rst
-    seqgen.rst
-    paup.rst
-    raxml.rst
diff --git a/doc/source/primer/paup.rst b/doc/source/primer/paup.rst
deleted file mode 100644
index 7e9c15a..0000000
--- a/doc/source/primer/paup.rst
+++ /dev/null
@@ -1,17 +0,0 @@
-****
-PAUP
-****
-
-The :mod:`~dendropy.interop.paup` module provides functions to estimate a tree given a data matrix, or a substitution model given a tree and a data model.
-
-Trees can be estimated using likelihood:
-
-.. literalinclude:: /examples/paup_estimate_tree_ml.py
-
-Or neighbor-joining:
-
-.. literalinclude:: /examples/paup_estimate_tree_nj.py
-
-Estimating a substitution model parameters requires both a tree and a data matrix:
-
-.. literalinclude:: /examples/paup_estimate_model.py
diff --git a/doc/source/primer/phylogenetic_character_analyses.rst b/doc/source/primer/phylogenetic_character_analyses.rst
deleted file mode 100644
index 222116f..0000000
--- a/doc/source/primer/phylogenetic_character_analyses.rst
+++ /dev/null
@@ -1,139 +0,0 @@
-*******************************
-Phylogenetic Character Analyses
-*******************************
-
-Phylogenetic Independent Contrasts (PIC)
-========================================
-
-Basic Analysis
---------------
-
-A phylogenetic independent contrasts analysis (Felsenstein 1985; Garland et al. 2005) can be carried out using the :class:`~dendropy.model.continuous.PhylogeneticIndependentConstrasts` class.
-This requires you to have a |Tree| and a |ContinuousCharacterMatrix| which reference the same |TaxonNamespace|.
-Thus, if your data is in the same file:
-
-.. literalinclude:: /examples/pic2.py
-
-While if you have the tree and characters in a different file:
-
-.. literalinclude:: /examples/pic3.py
-
-In either case, we have a |Tree| object, ``tree`` and a |ContinuousCharacterMatrix| object, ``chars``, that both reference the same |TaxonNamespace|.
-
-Once the data is loaded, we create the :class:`~dendropy.model.continuous.PhylogeneticIndependentConstrasts` object::
-
-    >>> from dendropy import continuous
-    >>> pic = continuous.PhylogeneticIndependentContrasts(tree=tree, char_matrix=chars)
-
-At this point, the data is ready for analysis. Typically, we want to map the contrasts onto a tree. The :meth:`~dendropy.model.continuous.PhylogeneticIndependentConstrasts.contrasts_tree` method takes a single mandatory argument, the 0-based index of the character (or column) to be analyzed, and returns a |Tree| object that is a clone of the original input |Tree|, but with the following attributes added to each |Node|:
-
-        - ``pic_state_value``
-        - ``pic_state_variance``
-        - ``pic_contrast_raw``
-        - ``pic_contrast_variance``
-        - ``pic_contrast_standardized``
-        - ``pic_edge_length_error``
-        - ``pic_corrected_edge_length``
-
-In addition to the 0-based index first argument, ``character_index``, the :meth:`~dendropy.model.continuous.PhylogeneticIndependentConstrasts.contrasts_tree` method takes the following optional arguments:
-
-    ``annotate_pic_statistics``
-        If |True| then the PIC statistics attributes will be *annotated* (i.e., serialized or persisted when the tree is written out or saved. Defaults to |False|.
-    ``state_values_as_node_labels``
-        If |True| then the :attr:`~dendropy.datamodel.treemodel.Node.label` attribute of each |Node| object will be set to the value of the character.
-    ``corrected_edge_lengths``
-        If |True| then the |Tree| returned will have its edge lengths adjusted to the corrected edge lengths as yielded by the PIC analysis.
-
-Results as a Table
-------------------
-
-So the following retrieves the constrasts tree for the first character (index=0), and prints a table of the various statistics::
-
-    >>> ctree1 = pic.contrasts_tree(character_index=0,
-    ...     annotate_pic_statistics=True,
-    ...     state_values_as_node_labels=False,
-    ...     corrected_edge_lengths=False)
-    >>> for nd in ctree1.postorder_internal_node_iter():
-    ...     row = [nd.pic_state_value,
-    ...             nd.pic_state_variance,
-    ...             nd.pic_contrast_raw,
-    ...             nd.pic_edge_length_error]
-    ...     row_str = [(("%10.8f") % i) for i in row]
-    ...     row_str = "    ".join(row_str)
-    ...     label = nd.label.ljust(6)
-    ...     print "%s %s" % (label, row_str)
-    HP     3.85263000    0.38500000    0.48342000    0.10500000
-    HPM    3.20037840    0.34560000    1.48239000    0.21560000
-    HPMA   2.78082358    0.60190555    1.17222840    0.22190555
-    Root   1.18372461    0.37574347    4.25050358    0.37574347
-
-Results as a Newick String with State Values as Node Labels
------------------------------------------------------------
-
-Alternatively, you might want to visualize the results as a tree showing the numeric values of the states. The following produces this for each character in the matrix by first requesting that :meth:`~dendropy.model.continuous.PhylogeneticIndependentConstrasts.contrasts_tree` replace existing node labels with the state values for that node, and then, when writing out in Newick format, suppressing taxon labels and printing node labels in their place:
-
-.. literalinclude:: /examples/pic1.py
-
-This results in::
-
-    [&R] ((((4.09434:0.21,3.61092:0.21)3.85263:0.28,2.37024:0.49)3.2003784:0.13,2.02815:0.62)2.78082357912:0.38,'-1.46968':1.0)1.1837246134:0.0;
-
-    [&R] ((((4.74493:0.21,3.3322:0.21)4.038565:0.28,3.3673:0.49)3.7432084:0.13,2.89037:0.62)3.43796714996:0.38,2.30259:1.0)3.01135659943:0.0;
-
-Results as a NEXUS Document with Analysis Statistics as Node Metadata
----------------------------------------------------------------------
-
-However, probably the best way to visualize the results would be as a tree marked up with metadata that can be viewed in |FigTree|_ (by checking "Node Labels" and selecting the appropriate statistics from the drop-down menu). This is, in fact, even easier to do than the above, as it will result from the default options. The following illustrates this. It collects the metadata-annotated contrast analysis trees produced by :meth:`~dendropy.model.continuous.PhylogeneticIndependentConstrasts [...]
-
-.. literalinclude:: /examples/pic_annotated.py
-
-Thus, we get::
-
-    #NEXUS
-
-
-    BEGIN TAXA;
-        DIMENSIONS NTAX=5;
-        TAXLABELS
-            Homo
-            Pongo
-            Macaca
-            Ateles
-            Galago
-    ;
-    END;
-
-    BEGIN TREES;
-        TREE PIC_1 = [&R] ((((Homo:0.21[&pic_contrast_variance=None,pic_edge_length_error=0.0,pic_state_variance=None,pic_corrected_edge_length=0.21,pic_state_value=4.09434,pic_contrast_standardized=None,pic_contrast_raw=None],Pongo:0.21[&pic_contrast_variance=None,pic_edge_length_error=0.0,pic_state_variance=None,pic_corrected_edge_length=0.21,pic_state_value=3.61092,pic_contrast_standardized=None,pic_contrast_raw=None])HP:0.28[&pic_contrast_variance=0.42,pic_edge_length_error=0.105,pic [...]
-
-        TREE PIC_2 = [&R] ((((Homo:0.21[&pic_contrast_variance=None,pic_edge_length_error=0.0,pic_state_variance=None,pic_corrected_edge_length=0.21,pic_state_value=4.74493,pic_contrast_standardized=None,pic_contrast_raw=None],Pongo:0.21[&pic_contrast_variance=None,pic_edge_length_error=0.0,pic_state_variance=None,pic_corrected_edge_length=0.21,pic_state_value=3.3322,pic_contrast_standardized=None,pic_contrast_raw=None])HP:0.28[&pic_contrast_variance=0.42,pic_edge_length_error=0.105,pic_ [...]
-
-    END;
-
-
-Multifurcating Trees and Polytomies
------------------------------------
-
-By default, the :class:`~dendropy.model.continuous.PhylogeneticIndependentConstrasts` class only handles fully-bifurcating trees, and throws an exception if the input tree has polytomies.
-You can change this behavior by specifying one of the following strings to the "``polytomy_strategy``" argument of the class constructor:
-
-    "``ignore``"
-        Polytomies will handled without complaint::
-
-            >>> pic = dendropy.model.continuous.PhylogeneticIndependentContrasts(tree=tree,
-            ...        char_matrix=chars,
-            ...        polytomy_strategy='ignore')
-
-        Note that in this case the raw contrast and the raw contrast variance calculated for nodes that have more than two children will be invalid. The reconstructed state values should be still valid, though.
-
-    "``resolve``"
-        Polytomies will be arbitrarily resolved with 0-length branches::
-
-            >>> pic = dendropy.model.continuous.PhylogeneticIndependentContrasts(tree=tree,
-            ...        char_matrix=chars,
-            ...        polytomy_strategy='resolve')
-
-        In this case this validity of the analysis for nodes with (originally) more than two children is dubious, as the resulting contrasts are non-independent.
-
-
-
diff --git a/doc/source/primer/popgenstats.rst b/doc/source/primer/popgenstats.rst
deleted file mode 100644
index 0a32b53..0000000
--- a/doc/source/primer/popgenstats.rst
+++ /dev/null
@@ -1,46 +0,0 @@
-*************************************
-Population Genetic Summary Statistics
-*************************************
-
-The :mod:`dendropy.calculate.popgenstat` module provides functions that calculate some common population genetic summary statistics.
-
-For example, given a |DnaCharacterMatrix| as an argument, the :func:`~dendropy.calculate.popgenstat.num_segregating_sites()` function returns the raw number of segregating sites, :func:`~dendropy.calculate.popgenstat.average_number_of_pairwise_differences()` returns the average number of pairwise differences, and :func:`~dendropy.calculate.popgenstat.nucleotide_diversity()` returns the nucleotide diversity.
-
-More complex statistics are provided by the :class:`~dendropy.calculate.popgenstat.PopulationPairSummaryStatistics` class.
-Objects of this class are instantatiated with two lists of |DnaCharacterDataSequence| objects as arguments, each representing a sample of DNA sequences drawn from two distinct but related populations.
-Once instantiated, the following attributes of the :class:`~dendropy.calculate.popgenstat.PopulationPairSummaryStatistics` object are available:
-
-        :attr:`~dendropy.calculate.popgenstat.PopulationPairSummaryStatistics.average_number_of_pairwise_differences`
-            The average number of pairwise differences between every sequence across both populations.
-
-        :attr:`~dendropy.calculate.popgenstat.PopulationPairSummaryStatistics.average_number_of_pairwise_differences_between`
-            The average number of pairwise differences between every sequence between both populations.
-
-        :attr:`~dendropy.calculate.popgenstat.PopulationPairSummaryStatistics.average_number_of_pairwise_differences_within`
-            The average number of pairwise differences between every sequence within each population.
-
-        :attr:`~dendropy.calculate.popgenstat.PopulationPairSummaryStatistics.average_number_of_pairwise_differences_net`
-            The net number of pairwise differences.
-
-        :attr:`~dendropy.calculate.popgenstat.PopulationPairSummaryStatistics.num_segregating_sites`
-            The number of segregating sites.
-
-        :attr:`~dendropy.calculate.popgenstat.PopulationPairSummaryStatistics.wattersons_theta`
-            Watterson's theta.
-
-        :attr:`~dendropy.calculate.popgenstat.PopulationPairSummaryStatistics.wakeleys_psi`
-            Wakeley's psi.
-
-        :attr:`~dendropy.calculate.popgenstat.PopulationPairSummaryStatistics.tajimas_d`
-            Tajima's D.
-
-The following example calculates the suite of population genetic summary statistics for sequences drawn from two populations of sticklebacks.
-The original data consists of 23 sequences, with individuals from Eastern Pacific populations identified by their taxon labels beginning with "``EPAC``" and individuals from Western Pacific populations identified by their taxon labels beginning with "``WPAC``".
-The taxon labels thus are used as the basis for sorting the sequences into the required lists of |DnaCharacterDataSequence| objects, ``p1`` and ``p2``.
-
-.. literalinclude:: /examples/pgstats1.py
-    :linenos:
-
-Lines 6-12 build up the two lists of |DnaCharacterDataSequence| objects by sorting the original sequences into their source populations based on the taxon label (with operational taxonomic units with labels beginning with "``EPAC``" coming from the Eastern Pacific, and assigned to the list ``p1``, while those that begin with "``WPAC``" coming from the Western Pacific, and assigned to the list ``p2``).
-These lists are then passed as the instantiation arguments to the :class:`~dendropy.calculate.popgenstat.PopulationPairSummaryStatistics` constructor in line 14.
-The calculations are performed immediately, and the results reported in the following lines.
diff --git a/doc/source/primer/raxml.rst b/doc/source/primer/raxml.rst
deleted file mode 100644
index f9adf54..0000000
--- a/doc/source/primer/raxml.rst
+++ /dev/null
@@ -1,20 +0,0 @@
-*****
-RAxML
-*****
-
-The :mod:`~dendropy.interop.raxml` module provides the :class:`~dendropy.interop.raxml.RaxmlRunner` class, which is a lighweight (i.e., mostly "pass-through") wrapper to the |RAxML| maximum-likelihood tree estimation program. |RAxML| needs to be installed in the system for this class to be used.
-
-The class handles the exporting of the |DendroPy| dataset in a format suitable for |RAxML| analysis, and re-reading the resulting tree back into a |DendroPy| object.
-
-The basic call assumes nucleotide data and estimates a tree under the ``GTRCAT`` model:
-
-
-.. literalinclude:: /examples/raxml_estimate_tree.py
-
-
-Currently, the only way to customize the call to the underlying |RAxML| program using :meth:`~dendropy.interop.raxml.RaxmlRunner.estimate_tree` is to pass it a list of command-line arguments, with each argument token a separate list element. So, for example, to include invariant sites in the substitutio model and run 250 independent tree searches::
-
-
-    >>> tree = rx.estimate_tree(data, ['-m', 'GTRCATI', '-N', '250'])
-
-Obviously, while this works, it is neither ideal nor very Pythonic. Future releases will polish up the interface.
diff --git a/doc/source/primer/reading_and_writing.rst b/doc/source/primer/reading_and_writing.rst
deleted file mode 100644
index 068c62a..0000000
--- a/doc/source/primer/reading_and_writing.rst
+++ /dev/null
@@ -1,250 +0,0 @@
-*************************************
-Reading and Writing Phylogenetic Data
-*************************************
-
-Creating New Objects From an External Data Source
-=================================================
-
-The |Tree|, |TreeList|, |CharacterMatrix|-derived (i.e., |DnaCharacterMatrix|,
-|ProteinCharacterMatrix|, |StandardCharacterMatrix|, etc.), and |DataSet|
-classes all support a "|get|" factory class-method that instantiates an object
-of the given class from a data source. This method takes, at a minumum, two
-keyword arguments that specify the *source* of the data and the *schema* (or
-format) of the data.
-
-The source must be specifed using one and exactly one of the following:
-
-    -   a path to a file (specified using the keyword argument "``path``")
-    -   a file or a file-like object opened for reading (specified using the keyword argument ``"file"``)
-    -   a string value giving the data directly (specified using the keyword argument ``"data"``)
-    -   or a URL (specified using the keyword argument ``"url"``)
-
-The schema is specified using the keyword argument ``"schema"``, and takes a string value that identifies the format of data.
-This ":ref:`schema specification string <Specifying_the_Data_Source_Format>`" can be one of: ":doc:`fasta </schemas/fasta>`", ":doc:`newick </schemas/newick>`", ":doc:`nexus </schemas/nexus>`", ":doc:`nexml </schemas/nexml>`", or ":doc:`phylip </schemas/phylip>`".
-Not all formats are supported for reading, and not all formats make sense for particular objects (for example, it would not make sense to try and instantiate a |Tree| or |TreeList| object from a |FASTA|-formatted data source).
-
-.. A ":term:`schema`" is DendroPy-speak for "format" (we cannot use the argument or variable name "format" for this in library, because this is a Python built-in, and hence we use "schema" and adopted this terminology for consistency), and is specified using one of a set of predefined string values.
-
-For example:
-
-.. code-block:: python
-
-    import dendropy
-
-    tree1 = dendropy.Tree.get(path="mle.tre", schema="newick")
-    tree2 = dendropy.Tree.get(file=open("mle.nex", "r"), schema="nexus")
-    tree3 = dendropy.Tree.get(data="((A,B),(C,D));", schema="newick")
-    tree4 = dendropy.Tree.get(url="http://api.opentreeoflife.org/v2/study/pg_1144/tree/tree2324.nex", schema="nexus")
-
-    tree_list1 = dendropy.TreeList.get(path="pythonidae.mcmc.nex", schema="nexus")
-    tree_list2 = dendropy.TreeList.get(file=open("pythonidae.mcmc.nex", "r"), schema="nexus")
-    tree_list3 = dendropy.TreeList.get(data="(A,(B,C));((A,B),C);", "r"), schema="newick")
-
-    dna1 = dendropy.DnaCharacterMatrix.get(file=open("pythonidae.fasta"), schema="fasta")
-    dna2 = dendropy.DnaCharacterMatrix.get(url="http://purl.org/phylo/treebase/phylows/matrix/TB2:M2610?format=nexus", schema="nexus")
-    aa1 = dendropy.ProteinCharacterMatrix.get(file=open("pythonidae.dat"), schema="phylip")
-    std1 = dendropy.StandardCharacterMatrix.get(path="python_morph.nex", schema="nexus")
-    std2 = dendropy.StandardCharacterMatrix.get(data=">t1\n01011\n\n>t2\n11100", schema="fasta")
-
-    dataset1 = dendropy.DataSet.get(path="pythonidae.chars_and_trees.nex", schema="nexus")
-    dataset2 = dendropy.DataSet.get(url="http://purl.org/phylo/treebase/phylows/study/TB2:S1925?format=nexml", schema="nexml")
-
-The "|get|" method takes a number of other optional keyword arguments that provide control over how the data is interpreted and processed.
-Some are general to all classes (e.g., the "``label``" or "``taxon_namespace``" arguments), while others specific to a given class (e.g. the "``exclude_trees``" argument when instantiating data into a |DataSet| object, or the "``tree_offset``" argument when instantiating data into a |Tree| or |TreeList| object).
-These are all covered in detail in the documentation of the respective methods for each class:
-
-    -   :meth:`Tree.get <dendropy.datamodel.treemodel.Tree.get>`
-    -   :meth:`TreeList.get <dendropy.datamodel.treecollectionmodel.TreeList.get>`
-    -   :meth:`DnaCharacterMatrix.get <dendropy.datamodel.charmatrixmodel.DnaCharacterMatrix.get>`
-    -   :meth:`RnaCharacterMatrix.get <dendropy.datamodel.charmatrixmodel.RnaCharacterMatrix.get>`
-    -   :meth:`ProteinCharacterMatrix.get <dendropy.datamodel.charmatrixmodel.ProteinCharacterMatrix.get>`
-    -   :meth:`RestrictionSitesCharacterMatrix.get <dendropy.datamodel.charmatrixmodel.RestrictionSitesCharacterMatrix.get>`
-    -   :meth:`InfiniteSitesCharacterMatrix.get <dendropy.datamodel.charmatrixmodel.InfiniteSitesCharacterMatrix.get>`
-    -   :meth:`StandardCharacterMatrix.get <dendropy.datamodel.charmatrixmodel.StandardCharacterMatrix.get>`
-    -   :meth:`DataSet.get <dendropy.datamodel.datasetmodel.DataSet.get>`
-
-Other optional keyword arguments are :ref:`specific to the schema or format <Schema_Specific_Keyword_Arguments>` (e.g., the "``preserve_underscores``" argument when reading |Newick| or |Nexus| data).
-These are covered in detail in the :doc:`DendroPy Schema Guide </schemas/index>`.
-
-.. note::
-
-    The |Tree|, |TreeList|, |CharacterMatrix|-derived, and |DataSet| classes
-    also support a "|get_from_methods|" family of factory class-methods that
-    can be seen as specializations of the "|get|" method for various types of
-    sources (in fact, the "|get|" method is actually a dispatcher that calls on
-    one of these methods below for implementation of the functionality):
-
-        :meth:`get_from_stream(src, schema, \*\*kwargs)`
-            Takes a file or file-like object opened for reading the data source as the first argument, and a :ref:`schema specification string <Specifying_the_Data_Source_Format>` as the second.
-            Optional :term:`schema`-specific keyword arguments can be to control the parsing and other options.
-            This is equivalent to calling ":meth:`get(file=src, schema=schema, ...)`".
-
-        :meth:`get_from_path(src, schema, \*\*kwargs)`
-            Takes a string specifying the path to the the data source file as the first argument, and a :ref:`schema specification string <Specifying_the_Data_Source_Format>` as the second.
-            Optional :term:`schema`-specific keyword arguments can be to control the parsing and other options.
-            This is equivalent to calling ":meth:`get(path=src, schema=schema, ...)`".
-
-        :meth:`get_from_string(src, schema, \*\*kwargs)`
-            Takes a string containing the source data as the first argument, and a :ref:`schema specification string <Specifying_the_Data_Source_Format>` as the second.
-            Optional :term:`schema`-specific keyword arguments can be to control the parsing and other options.
-            This is equivalent to calling ":meth:`get(data=src, schema=schema, ...)`".
-
-        :meth:`get_from_url(src, schema, \*\*kwargs)`
-            Takes a string containing the URL of the data as the first argument, and a :ref:`schema specification string <Specifying_the_Data_Source_Format>` as the second.
-            Optional :term:`schema`-specific keyword arguments can be  to control the parsing and other options.
-            This is equivalent to calling ":meth:`get(url=src, schema=schema, ...)`".
-
-    As with the "|get|" method, the additional keyword arguments are specific to the given class or schema type.
-
-Adding Data to Existing Objects from an External Data Source
-============================================================
-
-In addition to the "|get|" class factory method, the collection classes (|TreeList|, |TreeArray| and |DataSet|) each support a "|read|" *instance* method that *add* data from external sources to an existing object (as opposed to creating and returning a new object based on an external data source).
-This "|read|" instance method has a signature that parallels the "|get|" factory method described above, requiring:
-
-    -   A specification of a source using one and exactly one of the following keyword arguments: "``path``", "``file``", "``data``", "``url``".
-    -   A specification of the :ref:`schema <Specifying_the_Data_Source_Format>` or format of the data.
-    -   Optional keyword arguments to customize/control the parsing and interpretation of the data.
-
-As with the "|get|" method, the "|read|" method takes a number of other optional keyword arguments that provide control over how the data is interpreted and processed, which are covered in more detail in the documentation of the respective methods for each class:
-
-    -   :meth:`TreeList.read <dendropy.datamodel.treecollectionmodel.TreeList.read>`
-    -   :meth:`TreeArray.read <dendropy.datamodel.treecollectionmodel.TreeArray.read>`
-    -   :meth:`DataSet.read <dendropy.datamodel.datasetmodel.DataSet.read>`
-
-as well as :ref:`schema-specific keyword arguments <Schema_Specific_Keyword_Arguments>` which are covered in detail in the :doc:`DendroPy Schema Guide </schemas/index>`.
-
-For example, the following accumulates post-burn-in trees from several different files into a single |TreeList| object::
-
-    >>> import dendropy
-    >>> post_trees = dendropy.TreeList()
-    >>> post_trees.read(
-    ...         file=open("pythonidae.nex.run1.t", "r")
-    ...         schema="nexus",
-    ...         tree_offset=200)
-    >>> print(len(post_trees))
-    800
-    >>> post_trees.read(
-    ...         path="pythonidae.nex.run2.t",
-    ...         schema="nexus",
-    ...         tree_offset=200)
-    >>> print(len(post_trees))
-    1600
-    >>> s = open("pythonidae.nex.run3.t", "r").read()
-    >>> post_trees.read(
-    ...         data=s,
-    ...         schema="nexus",
-    ...         tree_offset=200)
-    >>> print(len(post_trees))
-    2400
-
-.. The |TreeList| object automatically handles taxon management, and ensures that all appended |Tree| objects share the same |TaxonNamespace| reference. Thus all the |Tree| objects created and aggregated from the data sources in the example will all share the same |TaxonNamespace| and |Taxon| objects, which is important if you are going to be carrying comparisons or operations between multiple |Tree| objects.
-.. As with the "|get|" method, keyword arguments can be used to provide :ref:`control on the data source parsing <Customizing_Data_Creation_and_Reading>`.
-
-while the following accumulates data from a variety of sources into a single |DataSet| object under the same |TaxonNamespace| to ensure that they all reference the same set of |Taxon| objects::
-
-    >>> import dendropy
-    >>> ds = dendropy.DataSet()
-    >>> tns = ds.new_taxon_namespace()
-    >>> ds.attach_taxon_namespace(tns)
-    >>> ds.read(url="http://api.opentreeoflife.org/v2/study/pg_1144/tree/tree2324.nex",
-    ...     schema="nexus")
-    >>> ds.read(file=open("pythonidae.fasta"), schema="fasta")
-    >>> ds.read(url="http://purl.org/phylo/treebase/phylows/matrix/TB2:M2610?format=nexus",
-    ...     schema="nexus")
-    >>> ds.read(file=open("pythonidae.dat"), schema="phylip")
-    >>> ds.read(path="python_morph.nex", schema="nexus")
-    >>> ds.read(data=">t1\n01011\n\n>t2\n11100", schema="fasta")
-
-.. note:: DendroPy 3.xx supported "|read_from_methods|" methods on |Tree| and |CharacterMatrix|-derived classes. This is no longer supported in DendroPy 4 and above. Instead of trying to re-populate an existing |Tree| or |CharacterMatrix|-derived object by using "|read_from_methods|"::
-
-            x = dendropy.Tree()
-            x.read_from_path("tree1.nex", "nexus")
-            .
-            .
-            .
-            x.read_from_path("tree2.nex", "nexus")
-
-        simply rebind the new object returned by "|get|"::
-
-            x = dendropy.Tree.get(path="tree1.nex", schema="nexus")
-            .
-            .
-            .
-            x = dendropy.Tree.get(path="tree2.nex", schema="nexus")
-
-.. note:: The |TreeList|, |TreeArray|, and |DataSet| classes
-    also support a "|read_from_methods|" family of instance methods that
-    can be seen as specializations of the "|read|" method for various types of
-    sources (in fact, the "|read|" method is actually a dispatcher that calls on
-    one of these methods below for implementation of the functionality):
-
-        :meth:`read_from_stream(src, schema, \*\*kwargs)`
-            Takes a file or file-like object opened for reading the data source as the first argument, and a :ref:`schema specification string <Specifying_the_Data_Source_Format>` as the second.
-            Optional :term:`schema`-specific keyword arguments can be to control the parsing and other options.
-            This is equivalent to calling ":meth:`read(file=src, schema=schema, ...)`".
-
-        :meth:`read_from_path(src, schema, \*\*kwargs)`
-            Takes a string specifying the path to the the data source file as the first argument, and a :ref:`schema specification string <Specifying_the_Data_Source_Format>` as the second.
-            Optional :term:`schema`-specific keyword arguments can be to control the parsing and other options.
-            This is equivalent to calling ":meth:`read(path=src, schema=schema, ...)`".
-
-        :meth:`read_from_string(src, schema, \*\*kwargs)`
-            Takes a string containing the source data as the first argument, and a :ref:`schema specification string <Specifying_the_Data_Source_Format>` as the second.
-            Optional :term:`schema`-specific keyword arguments can be to control the parsing and other options.
-            This is equivalent to calling ":meth:`read(data=src, schema=schema, ...)`".
-
-        :meth:`read_from_url(src, schema, \*\*kwargs)`
-            Takes a string containing the URL of the data as the first argument, and a :ref:`schema specification string <Specifying_the_Data_Source_Format>` as the second.
-            Optional :term:`schema`-specific keyword arguments can be  to control the parsing and other options.
-            This is equivalent to calling ":meth:`read(url=src, schema=schema, ...)`".
-
-    As with the "|read|" method, the additional keyword arguments are specific to the given class or schema type.
-
-
-Writing Out Phylogenetic Data
-=============================
-
-The |Tree|, |TreeList|, |CharacterMatrix|-derived (i.e., |DnaCharacterMatrix|,
-|ProteinCharacterMatrix|, |StandardCharacterMatrix|, etc.), and |DataSet|
-classes all support a "|write|" instance method for serialization of data to an
-external data source.
-This method takes two mandatory keyword arguments:
-
-    -   One and exactly one of the following to specify the *destination*:
-        -   a path to a file (specified using the keyword argument "``path``")
-        -   a file or a file-like object opened for writing (specified using the keyword argument ``"file"``)
-
-    -   A ":ref:`schema specification string <Specifying_the_Data_Source_Format>`" given by the keyword argument "``schema``", to identify the schema or format for the output.
-
-Alternatively, the |Tree|, |TreeList|, |CharacterMatrix|-derived, or |DnaCharacterMatrix| objects may also be represented as a string by calling the "``as_string()``" method, which requires at least one single mandatory argument, "``schema``", giving the ":ref:`schema specification string <Specifying_the_Data_Source_Format>`" to identify the format of the output.
-
-In either case, the ":ref:`schema specification string <Specifying_the_Data_Source_Format>`" can be one of: ":doc:`fasta </schemas/fasta>`", ":doc:`newick </schemas/newick>`", ":doc:`nexus </schemas/nexus>`", ":doc:`nexml </schemas/nexml>`", or ":doc:`phylip </schemas/phylip>`".
-
-For example:
-
-.. code-block:: python
-
-
-    tree.write(path="output.tre", schema="newick")
-    dest = open("output.xml", "w")
-    tree_list.write(file=dest, schema="nexml")
-    print(dna_character_matrix.as_string(schema="fasta"))
-
-
-As with the "|get|" and "|read|" methods, further keyword arguments can be specified to control behavior.
-These are covered in detail in the ":doc:`/schemas/index`" section.
-
-.. note::
-
-    The |Tree|, |TreeList|, |CharacterMatrix|-derived, and |DataSet| classes also support a "|write_to_methods|" family of instance methods that can be seen as specializations of the "|write|" method for various types of destinations:
-
-        :meth:`write_to_stream(dest, schema, \*\*kwargs)`
-            Takes a file or file-like object opened for writing the data as the first argument, and a string specifying the schema as the second.
-
-        :meth:`write_to_path(dest, schema, \*\*kwargs)`
-            Takes a string specifying the path to the file as the first argument, and a string specifying the schema as the second.
-
-        :meth:`as_string(schema, \*\*kwargs)`
-            Takes a string specifying the schema as the first argument, and returns a string containing the formatted-representation of the data.
-
diff --git a/doc/source/primer/seqgen.rst b/doc/source/primer/seqgen.rst
deleted file mode 100644
index 4e94ce3..0000000
--- a/doc/source/primer/seqgen.rst
+++ /dev/null
@@ -1,13 +0,0 @@
-*******
-Seq-Gen
-*******
-
-|DendroPy| includes native infrastructure for phylogenetic sequence simulation
-on DendroPy trees under the HKY model. Being pure-Python, however, it is a
-little slow. If |SeqGen| is installed on your system, though, you can take
-advantage of the :class:`dendropy.interop.seqgen.SeqGen` wrapper to efficiently
-simulate sequences under a wide variety of models.  The following examples
-should be enough to get started, and the class is simple and straightforward
-enough so that all options should be pretty much self-documented.
-
-.. literalinclude:: /examples/seqgen.py
diff --git a/doc/source/primer/taxa.rst b/doc/source/primer/taxa.rst
deleted file mode 100644
index 58af92e..0000000
--- a/doc/source/primer/taxa.rst
+++ /dev/null
@@ -1,277 +0,0 @@
-*************************************
-Taxon Namespaces and Taxon Management
-*************************************
-
-Conceptual Background
-=====================
-
-Many elements of phylogenetic and, more generally, evo- or bioinformatic data
-are associated with some element in the real world.
-For example, a leaf :term:`node` on a :term:`tree` or a sequence in a character
-matrix is typically associated with an individual biological organism, a
-population or deme, a species or higher-level taxonomic group, and so on.
-In classical phylogenetic literature, this referent is termed an "operational
-taxonomic unit" or OTU.
-In DendroPy, we use the term "taxon".
-Regardless of whether the referent of the data represents an
-individual organism (or even a less distinct subunit, e.g., a fragment from a
-shotgun assay) or an actual taxonomic group, we apply the term "taxon".
-We assign a (string) label to the concept of the entity (individual,
-sub-individual, or group) represented by a "taxon", which allows us to relate
-different elements of data to the same or different real-world referent.
-These collections of labels representing taxon concepts are organized into
-"taxon namespaces".
-
-The concept of a "taxon namespace" is fundamental to managing data in DendroPy.
-A "taxon namespace" represents a self-contained universe of *names* that
-map to operational taxonomic unit *concepts*.
-Operational taxonomic unit concepts are essentially names for groups of
-organisms in the "real world". Operational taxonomic unit concepts are
-organized into taxonomic namespaces. A taxonomic namespace is a self-contained
-and functionally-complete collection of mutually-distinct operational taxonomic
-unit concepts, and provide the semantic context in which operational taxonomic
-units from across various data sources of different formats and provenances can
-be related through correct interpretation of their taxon labels.
-
-    * Operational taxonomic units are modeled by a |Taxon| object.
-
-    * Taxonomic namespaces, in which operational taxonomic units are organized,
-      are modeled by a |TaxonNamespace| object.
-
-    * A |TaxonNamespace| manages a collection of |Taxon| objects, where each
-      object represents a distinct operational taxonomic unit concept within
-      the taxonomic namespace represented by that |TaxonNamespace| object.
-
-    * Each |Taxon| object can belong to one and only one |TaxonNamespace|:
-      |Taxon| objects are not shared across |TaxonNamespace| objects.
-
-    * Each |Taxon| object has an attribute, ``label``, whose (string) value
-      is the name of the operational taxon unit concept that it represents.
-
-    * Different |Taxon| objects represent different operational taxonomic
-      unit concepts, even if they have the same label value.
-
-    * All client objects (`TaxonNamespaceAssociated` objects) that reference
-      the same |TaxonNamespace| reference the same "universe" or domain of
-      operational taxonomic unit concepts.
-
-    * Operational taxonomic units from across different data sources are mapped
-      to distinct |Taxon| objects within a particular |TaxonNamespace| based on
-      matching the string values of labels of the |Taxon| object.
-
-    * A particular taxonomic unit concept in one data source will only be
-      correctly related to the same taxonomic unit concept (i.e, the same
-      |Taxon| object) in another data source only if they have both
-      been parsed with reference to the same taxonomic namespace (i.e., the
-      same |TaxonNamespace| has been used).
-
-    * A |TaxonNamespace| assigned an "accession index" to every |Taxon| object
-      added to it. This is a stable and unique number within the context of any
-      given |TaxonNamespace| object (though a |Taxon| object may have different
-      accession indexes in different |TaxonNamespace| objects if it
-      belongs to multiple namespaces). This number is will be used to
-      calculate the "split bitmask" hash of the trivial split or external edge
-      subtending the node to which this |Taxon| object is assigned on a tree.
-      The concept of a "split bitmask" hash is fundamental to DendroPy's tree
-      operations. The split bitmask is a hash that uniquely identifies every
-      split on a tree.  It is calculated by OR'ing the split bitmask of all the
-      child splits of the given split. Terminal edges, of course, do not have
-      child edges, and their split bitmask is given by the accession index of
-      the |Taxon| object at their head or target nodes.
-
-Management of Shared Taxon Namespaces
-=====================================
-
-Operational taxonomic units in DendroPy are represented by |Taxon| objects, and distinct collections of operational taxonomic units are represented by |TaxonNamespace| objects.
-Two distinct |Taxon| objects are considered distinct entities, *even if they share the same label*.
-Understanding this is crucial to understanding management of data in DendroPy.
-Many operations in DendroPy are based on the identity of the |Taxon| objects (e.g., counting of splits on trees).
-Many errors by novices using DendroPy come from inadventently creating and using multiple |Taxon| objects to refer to the same taxon concept.
-
-Every time a definition of taxa is encountered in a data source, for example, a "TAXA" block in a NEXUS file, a new |TaxonNamespace| object is created and populated with |Taxon| objects corresponding to the taxa defined in the data source.
-Some data formats do not have explicit definition of taxa, e.g. a Newick tree source.
-These nonetheless can be considered to have an implicit definition of a collection of operational taxonomic units given by the aggregate of all operational taxonomic units referenced in the data (i.e., the set of all distinct labels on trees in a Newick file).
-
-Every time a reference to a taxon is encountered in a data source, such as a taxon label in a tree or matrix statement in a NEXUS file, the current |TaxonNamespace| object is searched for corresponding |Taxon| object with a matching label (see below for details on how the match is made).
-If found, the |Taxon| object is used to represent the taxon.
-If not, a new |Taxon| object is created, added to the |TaxonNamespace| object, and used to represent the taxon.
-
-If multiple data sources are read, then with |TreeList| or |TreeArray| the |TaxonNamespace| instance associated with the collection through the ``taxon_namespace`` attribute will always be used to manage the |Taxon| objects, resulting in correct association of labels with |Taxon| objects across multiple reads. So, for example, the following:
-
-.. literalinclude:: /examples/taxa_mgmt1.py
-
-results in::
-
-    ['A', 'B', 'C']
-    ['A', 'B', 'C']
-
-Note how the total number of taxa is three, and there is full correspondence between the taxa.
-That is, the taxa referenced by "A", "B", and "C" in the second read operation were correctly mapped to the taxa from the second read operation.
-
-With |DataSet| instances, however, each independent read operation will, by default, be managed under a *new* (i.e., independent and different) |TaxonNamespace|.
-
-.. literalinclude:: /examples/taxa_mgmt2.py
-
-So, if reading data from multiple data sources using a |DataSet| instance that should all be managed under the same taxon namespace, then the |TaxonNamespace| instance to use should be explicitly passed in using the "``taxon_namespace``" keyword argument:
-
-.. literalinclude:: /examples/taxa_mgmt3.py
-
-
-While each |TreeList| manages all its member |Tree| objects under the same |TaxonNamespace| reference, if two different |TreeList| instances have different |TaxonNamespace| references, then the |Taxon| objects read/managed by them *will* be necessarily different from each other, even if the labels are the same.
-
-.. literalinclude:: /examples/taxa_mgmt4.py
-
-Again, this can be addressed by ensuring that the |TaxonNamespace| reference is the same for |TreeList| instances that need to interact:
-
-.. literalinclude:: /examples/taxa_mgmt5.py
-
-The same obtains for |Tree| and |CharacterMatrix|-derived instances: if the associated |TaxonNamespace| references are different, then the associated |Taxon| objects will be different, even if the labels are the same. This will make comparison or any operation between them impossible:
-
-.. literalinclude:: /examples/taxa_mgmt1a.py
-
-So, if taxa are shared, then the |TaxonNamespace| to use should be passed in explicitly to ensure that each |Tree| or |CharacterMatrix|-derived instance also share the same |TaxonNamespace|:
-
-.. literalinclude:: /examples/taxa_mgmt1b.py
-
-Managing Taxon Name Mapping Within a Taxon Namespace
-====================================================
-
-DendroPy maps taxon definitions encountered in a data source to |Taxon| objects by the taxon label.
-The labels have to match **exactly** for the taxa to be correctly mapped.
-By default, this matching is case-insensitive, though case-sensitivity can be set by specifying "``case_sensitive_taxon_labels=True``".
-
-Some quirks may arise due to some schema-specific idiosyncracies.
-For example, the NEXUS standard dictates that an underscore ("_") should be substituted for a space in all labels.
-Thus, when reading a NEXUS or Newick source, the taxon labels "Python_regius" and "Python regius" are exactly equivalent, and will be mapped to the same |Taxon| object.
-
-However, this underscore-to-space mapping does **not** take place when reading, for example, a FASTA schema file.
-Here, underscores are preserved, and thus "Python_regius" does not map to "Python regius".
-This means that if you were to read a NEXUS file with the taxon label, "Python_regius", and later a read a FASTA file with the same taxon label, i.e., "Python_regius", these would map to different taxa!
-This is illustrated by the following:
-
-.. literalinclude:: /examples/taxon_labels1.py
-
-Which produces the following, almost certainly incorrect, result::
-
-    TaxonNamespace object at 0x43b4e0 (TaxonNamespace4437216): 4 Taxa
-        [0] Taxon object at 0x22867b0 (Taxon36202416): 'Python regius'
-        [1] Taxon object at 0x2286810 (Taxon36202512): 'Python sebae'
-        [2] Taxon object at 0x22867d0 (Taxon36202448): 'Python_regius'
-        [3] Taxon object at 0x2286830 (Taxon36202544): 'Python_sebae'
-
-Even more confusingly, if this file is written out in NEXUS schema, it would result in the space/underscore substitution taking place, resulting in two pairs of taxa with the same labels.
-
-If you plan on mixing sources from different formats, it is important to keep in mind the space/underscore substitution that takes place by default with NEXUS/Newick formats, but does not take place with other formats.
-
-You could simply avoid underscores and use only spaces instead:
-
-.. literalinclude:: /examples/taxon_labels2.py
-
-Which results in::
-
-    TaxonNamespace object at 0x43b4e0 (TaxonNamespace4437216): 2 Taxa
-        [0] Taxon object at 0x22867b0 (Taxon36202416): 'Python_regius'
-        [1] Taxon object at 0x2286810 (Taxon36202512): 'Python_sebae'
-
-Or use underscores in the NEXUS-formatted data, but spaces in the non-NEXUS data:
-
-.. literalinclude:: /examples/taxon_labels2b.py
-
-Which results in the same as the preceding example::
-
-    TaxonNamespace object at 0x43b4e0 (TaxonNamespace4437216): 2 Taxa
-        [0] Taxon object at 0x22867b0 (Taxon36202416): 'Python regius'
-        [1] Taxon object at 0x2286810 (Taxon36202512): 'Python sebae'
-
-You can also wrap the underscore-bearing labels in the NEXUS/Newick source in quotes, which preserves them from being substituted for spaces:
-
-.. literalinclude:: /examples/taxon_labels3.py
-
-Which will result in::
-
-    TaxonNamespace object at 0x43c780 (TaxonNamespace4441984): 2 Taxa
-        [0] Taxon object at 0x2386770 (Taxon37250928): 'Python_regius'
-        [1] Taxon object at 0x2386790 (Taxon37250960): 'Python_sebae'
-
-Finally, you can also override the default behavior of DendroPy's NEXUS/Newick parser by passing the keyword argument ``preserve_underscores=True`` to any "|read_from_methods|" or "|get_from_methods|" method. For example:
-
-.. literalinclude:: /examples/taxon_labels4.py
-
-will result in::
-
-    TaxonNamespace object at 0x43c780 (TaxonNamespace4441984): 2 Taxa
-        [0] Taxon object at 0x2386770 (Taxon37250928): 'Python_regius'
-        [1] Taxon object at 0x2386790 (Taxon37250960): 'Python_sebae'
-
-This may seem the simplest solution, in so far as it means that you need not maintain lexically-different taxon labels across files of different formats, but a gotcha here is that if writing to NEXUS/Newick schema, any label with underscores will be automatically quoted to preserve the underscores (again, as dictated by the NEXUS standard), which will mean that: (a) your output file will have quotes, and, as a result, (b) the underscores in the labels will be "hard" underscores if the fi [...]
-
-    >>> print(d.as_string('nexus'))
-    #NEXUS
-
-    BEGIN TAXA;
-        TITLE TaxonNamespace5736800;
-        DIMENSIONS NTAX=2;
-        TAXLABELS
-            'Python_regius'
-            'Python_sebae'
-      ;
-    END;
-
-    BEGIN CHARACTERS;
-        TITLE DnaCharacterMatrix37505040;
-        LINK TAXA = TaxonNamespace5736800;
-        DIMENSIONS  NCHAR=5;
-        FORMAT DATATYPE=DNA GAP=- MISSING=? MATCHCHAR=.;
-        MATRIX
-    'Python_regius'    ACGTA
-    'Python_sebae'      ACGTA
-        ;
-    END;
-
-    BEGIN CHARACTERS;
-        TITLE DnaCharacterMatrix37504848;
-        LINK TAXA = TaxonNamespace5736800;
-        DIMENSIONS  NCHAR=4;
-        FORMAT DATATYPE=DNA GAP=- MISSING=? MATCHCHAR=.;
-        MATRIX
-    'Python_regius'    AAAA
-    'Python_sebae'      ACGT
-        ;
-    END;
-
-Note that the taxon labels have changed semantically between the input and the NEXUS output, as, according to the NEXUS standard, "Python_regius", while equivalent to "Python regius", is **not** equivalent to "'Python_regius'".
-To control this, you can pass the keyword argument ``quote_underscores=False`` to any :meth:`write_to_*`, or :meth:`as_string()` method, which will omit the quotes even if the labels contain underscores::
-
-    >>> print(d.as_string('nexus', quote_underscores=False))
-    #NEXUS
-
-    BEGIN TAXA;
-        TITLE TaxonNamespace5736800;
-        DIMENSIONS NTAX=2;
-        TAXLABELS
-            Python_regius
-            Python_sebae
-      ;
-    END;
-
-    BEGIN CHARACTERS;
-        TITLE DnaCharacterMatrix37505040;
-        LINK TAXA = TaxonNamespace5736800;
-        DIMENSIONS  NCHAR=5;
-        FORMAT DATATYPE=DNA GAP=- MISSING=? MATCHCHAR=.;
-        MATRIX
-    Python_regius    ACGTA
-    Python_sebae      ACGTA
-        ;
-    END;
-
-    BEGIN CHARACTERS;
-        TITLE DnaCharacterMatrix37504848;
-        LINK TAXA = TaxonNamespace5736800;
-        DIMENSIONS  NCHAR=4;
-        FORMAT DATATYPE=DNA GAP=- MISSING=? MATCHCHAR=.;
-        MATRIX
-    Python_regius    AAAA
-    Python_sebae      ACGT
-        ;
-    END;
diff --git a/doc/source/primer/taxa_partitions.rst b/doc/source/primer/taxa_partitions.rst
deleted file mode 100644
index 696092d..0000000
--- a/doc/source/primer/taxa_partitions.rst
+++ /dev/null
@@ -1,142 +0,0 @@
-************************
-Partitions of Taxon Sets
-************************
-
-A number of different applications require a specification of a partition of a set of taxa.
-For example, when calculating population genetic summary statistics for a multi-population sample or numbers of deep coalescences given a particular monophyletic groupings of taxa.
-The :class:`~dendropy.datamodel.taxonmodel.TaxonNamespacePartition` object describes a partitioning of a :class:`~dendropy.datamodel.taxonmodel.TaxonNamespace` into an exhaustive set of mutually-exclusive :class:`~dendropy.datamodel.taxonmodel.TaxonNamespace` subsets.
-
-There are four different ways to specify a partitioning scheme: by using a function, attribute, dictionary or list.
-The first three of these rely on providing a mapping of a :class:`~dendropy.datamodel.taxonmodel.Taxon` object to a subset membership identifier, i.e., a string, integer or some other type of value that identifies the grouping. The last explicitly describes the grouping as a list of lists.
-
-For example, consider the following::
-
-    >>> seqstr = """\
-    ... #NEXUS
-    ...
-    ... BEGIN TAXA;
-    ...     DIMENSIONS NTAX=13;
-    ...     TAXLABELS a1 a2 a3 b1 b2 b3 c1 c2 c3 c4 c5 d1 d2;
-    ... END;
-    ... BEGIN CHARACTERS;
-    ...     DIMENSIONS NCHAR=7;
-    ...     FORMAT DATATYPE=DNA MISSING=? GAP=- MATCHCHAR=.;
-    ...     MATRIX
-    ...         a1 ACCTTTG
-    ...         a2 ACCTTTG
-    ...         a3 ACCTTTG
-    ...         b1 ATCTTTG
-    ...         b2 ATCTTTG
-    ...         b3 ACCTTTG
-    ...         c1 ACCCTTG
-    ...         c2 ACCCTTG
-    ...         c3 ACCCTTG
-    ...         c4 ACCCTTG
-    ...         c5 ACCCTTG
-    ...         d1 ACAAAAG
-    ...         d2 ACCAAAG
-    ...     ;
-    ... END
-    ... """
-    >>> seqs = DnaCharacterMatrix.get_from_string(seqstr, 'nexus')
-    >>> taxon_namespace = seqs.taxon_namespace
-
-Here we have sequences sampled from four populations, with the population identified by the first character of the taxon label. To create a parition of the |TaxonNamespace| resulting from parsing the file, we call the :meth:`~dendropy.datamodel.taxonmodel.TaxonNamespace.partition` method. This method takes one of the following four keyword arguments:
-
-        ``membership_func``
-            A function that takes a ``Taxon`` object as an argument and
-            returns a a population membership identifier or flag
-            (e.g., a string, an integer) .
-
-        ``membership_attr_name``
-            Name of an attribute of ``Taxon`` objects that serves as an
-            identifier for subset membership.
-
-        ``membership_dict``
-            A dictionary with ``Taxon`` objects as keys and population
-            membership identifier or flag as values (e.g., a string,
-            an integer).
-
-        ``membership_lists``
-            A container of containers of ``Taxon`` objects, with every
-            ``Taxon`` object in ``taxon_namespace`` represented once and only
-            once in the sub-containers.
-
-For example, using the membership function approach, we define a function that returns the first character of the taxon label, and pass it to the :meth:`~dendropy.datamodel.taxonmodel.TaxonNamespace.partition` using the ``membership_func`` keyword argument::
-
-    >>> def mf(t):
-    ...     return t.label[0]
-    ...
-    >>> tax_parts = taxon_namespace.partition(membership_func=mf)
-
-Or, as would probably be done with such a simple membership function in practice::
-
-    >>> tax_parts = taxon_namespace.partition(membership_func=lambda x: x.label[0])
-
-Either way, we would get the following results::
-
-    >>> for s in tax_parts.subsets():
-    ...     print(s.description())
-    ...
-    TaxonNamespace object at 0x101116838 (TaxonNamespace4312885304: 'a'): 3 Taxa
-    TaxonNamespace object at 0x101116788 (TaxonNamespace4312885128: 'c'): 5 Taxa
-    TaxonNamespace object at 0x101116730 (TaxonNamespace4312885040: 'd'): 2 Taxa
-    TaxonNamespace object at 0x1011167e0 (TaxonNamespace4312885216: 'b'): 3 Taxa
-
-We could also add a population identification attribute to each |Taxon| object, and use the ``membership_attr_name`` keyword to specify that subsets should be created based on the value of this attribute::
-
-    >>> for t in taxon_namespace:
-    ...     t.population = t.label[0]
-    ...
-    >>> tax_parts = taxon_namespace.partition(membership_attr_name='population')
-
-The results are identical to that above::
-
-    >>> for s in tax_parts.subsets():
-    ...     print(s.description())
-    ...
-    TaxonNamespace object at 0x1011166d8 (TaxonNamespace4312884952: 'a'): 3 Taxa
-    TaxonNamespace object at 0x1011165d0 (TaxonNamespace4312884688: 'c'): 5 Taxa
-    TaxonNamespace object at 0x1011169f0 (TaxonNamespace4312885744: 'd'): 2 Taxa
-    TaxonNamespace object at 0x101116680 (TaxonNamespace4312884864: 'b'): 3 Taxa
-
-The third approach involves constructing a dictionary that maps |Taxon| objects to their identification label and passing this using the ``membership_dict`` keyword argument::
-
-    >>> tax_pop_label_map = {}
-    >>> for t in taxon_namespace:
-    ...     tax_pop_label_map[t] = t.label[0]
-    ...
-    >>> tax_parts = taxon_namespace.partition(membership_dict=tax_pop_label_map)
-
-Again, the results are the same::
-
-    >>> for s in tax_parts.subsets():
-    ...     print(s.description())
-    ...
-    TaxonNamespace object at 0x1011166e8 (TaxonNamespace4312884952: 'a'): 3 Taxa
-    TaxonNamespace object at 0x1011165f0 (TaxonNamespace4312884688: 'c'): 5 Taxa
-    TaxonNamespace object at 0x1011169f1 (TaxonNamespace4312885744: 'd'): 2 Taxa
-    TaxonNamespace object at 0x101116620 (TaxonNamespace4312884864: 'b'): 3 Taxa
-
-Finally, a list of lists can be constructed and passed using the ``membership_lists`` argument::
-
-    >>> pops = []
-    >>> pops.append(taxon_namespace[0:3])
-    >>> pops.append(taxon_namespace[3:6])
-    >>> pops.append(taxon_namespace[6:11])
-    >>> pops.append(taxon_namespace[11:13])
-    >>> tax_parts = taxon_namespace.partition(membership_lists=pops)
-
-Again, a :class:`~dendropy.datamodel.taxonmodel.TaxonNamespacePartition` object with four |TaxonNamespace| subsets is the result, only this time the subset labels are based on the list indices::
-
-    >>> subsets = tax_parts.subsets()
-    >>> print(subsets)
-    set([<TaxonNamespace object at 0x10069f838>, <TaxonNamespace object at 0x10069fba8>, <TaxonNamespace object at 0x101116520>, <TaxonNamespace object at 0x1011164c8>])
-    >>> for s in subsets:
-    ...     print(s.description())
-    ...
-    TaxonNamespace object at 0x10069f838 (TaxonNamespace4301912120: '0'): 3 Taxa
-    TaxonNamespace object at 0x10069fba8 (TaxonNamespace4301913000: '1'): 3 Taxa
-    TaxonNamespace object at 0x101116520 (TaxonNamespace4312884512: '3'): 2 Taxa
-    TaxonNamespace object at 0x1011164c8 (TaxonNamespace4312884424: '2'): 5 Taxa
-
diff --git a/doc/source/primer/treecollections.rst b/doc/source/primer/treecollections.rst
deleted file mode 100644
index 7a6e421..0000000
--- a/doc/source/primer/treecollections.rst
+++ /dev/null
@@ -1,108 +0,0 @@
-********************
-Collections of Trees
-********************
-
-Collections of Trees: The |TreeList| Class
-==========================================
-
-|TreeList| objects are collections of |Tree| objects constrained to sharing the same |TaxonNamespace|.
-Any |Tree| object added to a |TreeList| will have its :attr:`~dendropy.datamodel.treemodel.Tree.taxon_namespace` attribute assigned to the |TaxonNamespace| object of the |TreeList|, and all referenced |Taxon| objects will be mapped to the same or corresponding |Taxon| objects of this new |TaxonNamespace|, with new |Taxon| objects created if no suitable match is found.
-Objects of the |TreeList| class have an "``annotations``" attribute, which is a :class:`~dendropy.datamodel.basemodel.AnnotationSet` object, i.e. a collection of :class:`~dendropy.datamodel.basemodel.Annotation` instances tracking metadata.
-More information on working with metadata can be found in the ":doc:`/primer/working_with_metadata_annotations`" section.
-
-Reading and Writing |TreeList| Instances
-----------------------------------------
-
-The |TreeList| class supports the ":meth:`~dendropy.datamodel.treecollectionmodel.TreeList.get`" factory class method for simultaneously instantiating and populating |TreeList| instances, taking a data source as the first argument and a :ref:`schema specification string <Specifying_the_Data_Source_Format>` ("``nexus``", "``newick``", "``nexml``", "``fasta``", or "``phylip``", etc.) as the second::
-
-    import dendropy
-    treelist = dendropy.TreeList.get(path='pythonidae.mcmc.nex', schema='nexus')
-
-The ":meth:`~dendropy.datamodel.treecollectionmodel.TreeList.read`" instance method can be used to add trees from a data source to an existing |TreeList| instance:
-
-.. literalinclude:: /examples/tree_list_add1.py
-
-A |TreeList| object can be written to an external resource using the ":meth:`~dendropy.datamodel.treecollectionmodel.TreeList.write`" method::
-
-    import dendropy
-    treelist = dendropy.TreeList.get(
-        path="trees1.nex",
-        schema="nexus",
-        )
-    treelist.write(
-        path="trees1.newick",
-        schema="newick",
-        )
-
-
-It can also be represented as a string using the ":meth:`~dendropy.datamodel.treecollectionmodel.TreeList.as_string`" method::
-
-    import dendropy
-    treelist = dendropy.TreeList.get(
-        path="trees1.nex",
-        schema="nexus",
-        )
-    print(treelist.as_string(schema="newick",)
-
-More information on reading operations is available in the :doc:`/primer/reading_and_writing` section.
-
-Using and Managing the Collections of Trees
--------------------------------------------
-
-A |TreeList| behaves very much like a list, supporting iteration, indexing, slices, removal, indexing, sorting, etc.:
-
-.. literalinclude:: /examples/tree_list_ops1.py
-
-
-The |TreeList| class supports the native Python ``list`` interface methods of adding individual |Tree| instances through
-        :meth:`~dendropy.datamodel.treecollectionmodel.TreeList.append`,
-        :meth:`~dendropy.datamodel.treecollectionmodel.TreeList.extend`,
-        :meth:`~dendropy.datamodel.treecollectionmodel.TreeList.insert`,
-        and other methods, but with the added aspect of :doc:`taxon namespace </primer/taxa>` migration:
-
-.. literalinclude:: /examples/tree_list_ops2.py
-
-
-Cloning/Copying a |TreeList|
-----------------------------
-
-You can make a *shallow*-copy of a |TreeList| calling :meth:`dendropy.datamodel.treecollectionmodel.TreeList.clone` with a "``depth``" argument value of 0 or by slicing:
-
-.. literalinclude:: /examples/tree_list_copy1.py
-
-With a shallow-copy, the actual |Tree| instances are shared between lists (as is the |TaxonNamespace|).
-
-For a taxon namespace-scoped *deep*-copy, on the other hand, i.e., where the |Tree| instances are also cloned but the |Taxon| and |TaxonNamespace| references are preserved, you can call :meth:`dendropy.datamodel.treecollectionmodel.TreeList.clone` with a "``depth``" argument value of 1 or by copy construction:
-
-.. literalinclude:: /examples/tree_list_copy2.py
-
-Finally, for a true and complete deep-copy, where even the |Taxon| and |TaxonNamespace| references are copied, call :func:`copy.deepcopy`:
-
-.. literalinclude:: /examples/tree_list_copy3.py
-
-Efficiently Iterating Over Trees in a File
-==========================================
-
-If you need to process a collection of trees defined in a file source, you can, of course, read the trees into a |TreeList| object and iterate over the resulting collection::
-
-    import dendropy
-    trees = dendropy.TreeList.get(path='pythonidae.beast-mcmc.trees', schema='nexus')
-    for tree in trees:
-        print(tree.as_string('newick'))
-
-In the above, the entire data source is parsed and stored in the ``trees`` object before being processed in the subsequent lines.
-In some cases, you might not need to maintain all the trees in memory at the same time.
-For example, you might be interested in calculating the distribution of a statistic over a collection of trees, but have no need to refer to any of the trees after the statistic has been calculated.
-In this case, it will be more efficient to use the :meth:`~dendropy.datamodel.treemodel.Tree.yield_from_files` function.
-This takes a *list* or any other iterable of file-like objects or strings (giving filepaths) as the first argument ("``files``") and a mandatory :ref:`schema specification string <Specifying_the_Data_Source_Format>` as the second argument ("``schema``).
-Additional keyword arguments to customize the parsing are the same as that for the general "|get|" and "|read|" methods.
-For example, the following script reads a model tree from a file, and then iterates over a collection of MCMC trees in a set of files, calculating and storing the symmetric distance between the model tree and each of the MCMC trees one at time:
-
-.. literalinclude:: /examples/tree_iter1.py
-
-Note how a |TaxonNamespace| object is created and passed to both the :meth:`~dendropy.datamodel.treemodel.Tree.get` and the :meth:`~dendropy.datamodel.treemodel.Tree.yield_from_files` functions using the ``taxon_namespace`` keyword argument.
-This is to ensure that the corresponding taxa in both sources get mapped to the same |Taxon| objects in DendroPy object space, so as to enable comparisons of the trees.
-If this was not done, then each tree would have its own distinct |TaxonNamespace| object (and associated |Taxon| objects), making comparisons impossible.
-
-When the number of trees are large or the trees themselves are large or both, iterating over trees in files using :meth:`~dendropy.datamodel.treemodel.Tree.yield_from_files` is almost always going to give the best performance, sometimes orders of magnitude faster.
-This is due to avoiding the Python virtual machine itself from slowing down due to memory usage.
diff --git a/doc/source/primer/treemanips.rst b/doc/source/primer/treemanips.rst
deleted file mode 100644
index 5f0c009..0000000
--- a/doc/source/primer/treemanips.rst
+++ /dev/null
@@ -1,452 +0,0 @@
-***********************************
-Tree Manipulation and Restructuring
-***********************************
-
-The |Tree| class provides both low-level and high-level methods for manipulating tree structure.
-
-Low-level methods are associated with |Node| objects, and allow to restructure the relationships between nodes at a fine level: :meth:`~dendropy.datamodel.treemodel.Node.add_child`, :meth:`~dendropy.datamodel.treemodel.Node.new_child`, :meth:`~dendropy.datamodel.treemodel.Node.remove_child`, etc.
-
-In most cases, however, you will be using high-level methods to restructure |Tree| objects.
-
-In all cases, if any part of the |Tree| object's structural relations change, *and* you are interested in calculating any metrics or statistics on the tree or comparing the tree to another tree, you need to call :meth:`~dendropy.datamodel.treemodel.Tree.update_bipartitions()` on the object to update the internal splits hash representation.
-This is not done for you automatically because there is a computational cost associated with the operation, and the splits hashes are not always needed. Furthermore, even when needed, if there are a number of structural changes to be made to a |Tree| object before calculations/comparisions, it makes sense to postpone the splits rehashing until there all the tree manipulations are completed.
-Most methods that affect the tree structure that require the splits hashes to updated take a ``update_bipartitions`` argument. By specifying |True| for this, the |Tree| object will recalculate the splits hashes after the changes have been made.
-
-Rooting, Derooting and Rerooting
-================================
-
-The Rooting of Tree(s) Read from External Sources
--------------------------------------------------
-
-|Newick| and |Nexus| formats have a convention where the rooting of the tree is specified by a special comment token preceding the tree statement: "``[&R]``" to indicate a rooted tree::
-
-    [&R] ((A,B),(C,D));
-
-and : "``[&U]``" to indicate an unrooted tree::
-
-    [&U] ((A,B),(C,D));
-
-These rooting comment tokens are respected when tree data is read. If no such comment token is given, then the tree is assumed to be **unrooted** by default.
-
-You can control the behavior of trees read by using the "``rooting`` keyword argument when using the "|get|" or "|read|" methods of the |Tree| or |TreeList| classes. This takes one of four string values which determines how the rooting states of the tree(s) will be set:
-
-    "default-unrooted" [default]
-        All trees are interpreted as unrooted unless a "[&R]"
-        comment token explicitly specifies them as rooted.
-    "default-rooted"
-        All trees are interpreted as rooted unless a "[&U]"
-        comment token explicitly specifies them as unrooted.
-    "force-unrooted"
-        All trees are unconditionally interpreted as unrooted.
-    "force-rooted"
-        All trees are unconditionally interpreted as rooted.
-
-The behavior of this can be be summarized by the following:
-
-+-----------------------------------+----------------------------+----------------------------+------------------------------------+
-| Keyword Argument                  | ``[&U]`` in Tree Statement | ``[&R]`` in Tree Statement | No Rooting Given in Tree Statement |
-+-----------------------------------+----------------------------+----------------------------+------------------------------------+
-| ``rooting=None`` (or unspecified) | unrooted                   | rooted                     | None                               |
-+-----------------------------------+----------------------------+----------------------------+------------------------------------+
-| ``rooting="default-unrooted"``    | unrooted                   | rooted                     | unrooted                           |
-+-----------------------------------+----------------------------+----------------------------+------------------------------------+
-| ``rooting="default-rooted"``      | unrooted                   | rooted                     | rooted                             |
-+-----------------------------------+----------------------------+----------------------------+------------------------------------+
-| ``rooting="force-unrooted"``      | unrooted                   | unrooted                   | unrooted                           |
-+-----------------------------------+----------------------------+----------------------------+------------------------------------+
-| ``rooting="force-rooted"``        | rooted                     | rooted                     | rooted                             |
-+-----------------------------------+----------------------------+----------------------------+------------------------------------+
-
-As an example:
-
-.. literalinclude:: /examples/readroot2.py
-
-Setting the Rooting State
--------------------------
-
-All |Tree| objects have a boolean property, :attr:`~dendropy.datamodel.treemodel.Tree.is_rooted` that DendroPy uses to track whether or not the tree should be treated as rooted. The property :attr:`~dendropy.datamodel.treemodel.Tree.is_unrooted` is also defined, and these two properties are synchronized. Thus setting :attr:`~dendropy.datamodel.treemodel.Tree.is_rooted` to |True| will result in :attr:`~dendropy.datamodel.treemodel.Tree.is_rooted` being set to |False| and vice versa.
-
-The state of a |Tree| object's rootedness flag does not modify any internal structural relationship between nodes. It simply determines how its splits hashes are calculated, which in turn affects a broad range of comparison and metric operations. Thus you need to update the splits hashes after modifying the :attr:`~dendropy.datamodel.treemodel.Tree.is_rooted` property by calling the :meth:`~dendropy.datamodel.treemodel.Tree.update_bipartitions()` before carrying out any calculations on o [...]
-
-For example, the following:
-
-.. literalinclude:: /examples/setroot1.py
-
-
-will result in::
-
-
-    Original:
-    /---------------------------------------------------- A
-    +
-    |            /--------------------------------------- B
-    \------------+
-                 |            /-------------------------- C
-                 \------------+
-                              |            /------------- D
-                              \------------+
-                                           \------------- E
-
-
-    After `is_rooted=False`:
-    /---------------------------------------------------- A
-    +
-    |            /--------------------------------------- B
-    \------------+
-                 |            /-------------------------- C
-                 \------------+
-                              |            /------------- D
-                              \------------+
-                                           \------------- E
-
-
-    After `update_bipartitions()`:
-    /---------------------------------------------------- A
-    |
-    +---------------------------------------------------- B
-    |
-    |                /----------------------------------- C
-    \----------------+
-                     |                 /----------------- D
-                     \-----------------+
-                                       \----------------- E
-
-
-    After `update_bipartitions(suppress_unifurcations=False)`:
-    /---------------------------------------------------- A
-    +
-    |            /--------------------------------------- B
-    \------------+
-                 |            /-------------------------- C
-                 \------------+
-                              |            /------------- D
-                              \------------+
-                                           \------------- E
-
-Derooting
----------
-
-To deroot a rooted |Tree|, you can also call the :meth:`~dendropy.datamodel.treemodel.Tree.deroot()` method, which collapses the root to a trifurcation if it is bifurcation *and* sets the :attr:`~dendropy.datamodel.treemodel.Tree.is_rooted` to |False|. The :meth:`~dendropy.datamodel.treemodel.Tree.deroot()` method has the same structural and semantic affect of :attr:`~dendropy.datamodel.treemodel.Tree.is_rooted` to |False| and then calling :meth:`~dendropy.datamodel.treemodel.Tree.update [...]
-
-Rerooting
----------
-
-To reroot a |Tree| along an existing edge, you can use the :meth:`~dendropy.datamodel.treemodel.Tree.reroot_at_edge()` method. This method takes an |Edge| object as as its first argument. This rerooting is a structural change that will require the splits hashes to be updated before performing any tree comparisons or calculating tree metrics. If needed, you can do this yourself by calling :meth:`~dendropy.datamodel.treemodel.Tree.update_bipartitions()` later, or you can pass in |True| as  [...]
-
-As an example, the following reroots the tree along an internal edge (note that we do not recalculate the splits hashes, as we are not carrying out any calculations or comparisons with the |Tree|):
-
-.. literalinclude:: /examples/reroot_at_internal_edge.py
-
-and results in::
-
-    Before:
-    [&R] (A,(B,(C,(D,E))));
-
-    /---------------------------------------------------- A
-    +
-    |            /--------------------------------------- B
-    \------------+
-                 |            /-------------------------- C
-                 \------------+
-                              |            /------------- D
-                              \------------+
-                                           \------------- E
-
-
-    After:
-    [&R] ((D,E),(C,(B,A)));
-
-                                       /----------------- D
-    /----------------------------------+
-    |                                  \----------------- E
-    +
-    |                /----------------------------------- C
-    \----------------+
-                     |                 /----------------- B
-                     \-----------------+
-                                       \----------------- A
-
-Another example, this time rerooting along an edge subtending a tip instead of an internal edge:
-
-.. literalinclude:: /examples/reroot_at_external_edge.py
-
-which results in::
-
-    Before:
-    [&R] (A,(B,(C,(D,E))));
-
-    /---------------------------------------------------- A
-    +
-    |            /--------------------------------------- B
-    \------------+
-                |             /-------------------------- C
-                 \------------+
-                              |            /------------- D
-                              \------------+
-                                           \------------- E
-
-
-    After:
-    [&R] (D,(E,(C,(B,A))));
-
-    /---------------------------------------------------- D
-    +
-    |            /--------------------------------------- E
-    \------------+
-                 |            /-------------------------- C
-                 \------------+
-                              |            /------------- B
-                              \------------+
-                                           \------------- A
-
-To reroot a |Tree| at a node instead, you can use the :meth:`~dendropy.datamodel.treemodel.Tree.reroot_at_node()` method:
-
-.. literalinclude:: /examples/reroot_at_node.py
-
-which results in::
-
-    Before:
-    [&R] (A,(B,(C,(D,E))));
-
-    /---------------------------------------------------- A
-    +
-    |            /--------------------------------------- B
-    \------------+
-                 |            /-------------------------- C
-                 \------------+
-                              |            /------------- D
-                              \------------+
-                                           \------------- E
-
-
-    After:
-    [&R] (D,E,(C,(B,A)));
-
-    /---------------------------------------------------- D
-    |
-    +---------------------------------------------------- E
-    |
-    |                /----------------------------------- C
-    \----------------+
-                     |                 /----------------- B
-                     \-----------------+
-                                       \----------------- A
-
-
-You can also reroot the tree such that a particular node is moved to the outgroup position using the :meth:`~dendropy.datamodel.treemodel.Tree.to_outgroup_position()`, which takes a |Node| as the first argument. Again, you can update the splits hashes *in situ* by passing |True| to the second argument, and again, here we do not because we are not carrying out any calculations. For example:
-
-.. literalinclude:: /examples/to_outgroup_position.py
-
-which will result in::
-
-    Before:
-    [&R] (A,(B,(C,(D,E))));
-
-    /---------------------------------------------------- A
-    +
-    |            /--------------------------------------- B
-    \------------+
-                 |            /-------------------------- C
-                 \------------+
-                              |            /------------- D
-                              \------------+
-                                           \------------- E
-
-
-    After:
-    [&R] (C,(D,E),(B,A));
-
-    /---------------------------------------------------- C
-    |
-    |                         /-------------------------- D
-    +-------------------------+
-    |                         \-------------------------- E
-    |
-    |                         /-------------------------- B
-    \-------------------------+
-                              \-------------------------- A
-
-If you have a tree with edge lengths specified, you can reroot it at the midpoint, using the :meth:`~dendropy.datamodel.treemodel.Tree.reroot_at_midpoint()` method:
-
-.. literalinclude:: /examples/reroot_at_midpoint.py
-
-which results in::
-
-    Before:
-    [&R] (A:0.55,(B:0.82,(C:0.74,(D:0.42,E:0.64):0.24):0.15):0.2):0.3;
-
-              /------------------- A
-              +
-              |      /---------------------------- B
-              \------+
-                     |    /-------------------------- C
-                     \----+
-                          |        /-------------- D
-                          \--------+
-                                   \---------------------- E
-
-
-    After:
-    [&R] ((C:0.74,(D:0.42,E:0.64):0.24):0.045,(B:0.82,A:0.75):0.105):0.3;
-
-                   /------------------------------- C
-                 /-+
-                 | |         /------------------ D
-                 | \---------+
-                 +           \---------------------------- E
-                 |
-                 |   /------------------------------------ B
-                 \---+
-                     \-------------------------------- A
-
-
-
-Pruning Subtrees and Tips
-=========================
-
-To remove a set of tips from a |Tree|, you cna use either the :meth:`~dendropy.datamodel.treemodel.Tree.prune_taxa()` or the :meth:`~dendropy.datamodel.treemodel.Tree.prune_taxa_with_labels()` methods. The first takes a container of |TaxonNamespace| objects as an argument, while the second takes container of strings. In both cases, nodes associated with the specified taxa (as given by the |TaxonNamespace| objects directly in the first case, or |TaxonNamespace| objects with labels given i [...]
-
-.. literalinclude:: /examples/prune_taxa_with_labels.py
-
-which results in::
-
-    Before:
-    [&R] ((A,(B,(C,(D,E)))),(F,(G,H)));
-
-              /------------------------------------------- A
-    /---------+
-    |         |          /-------------------------------- B
-    |         \----------+
-    |                    |          /--------------------- C
-    |                    \----------+
-    +                               |          /---------- D
-    |                               \----------+
-    |                                          \---------- E
-    |
-    |                               /--------------------- F
-    \-------------------------------+
-                                    |          /---------- G
-                                    \----------+
-                                               \---------- H
-
-
-    After:
-    [&R] ((B,(D,E)),(F,H));
-
-                      /----------------------------------- B
-    /-----------------+
-    |                 |                 /----------------- D
-    |                 \-----------------+
-    +                                   \----------------- E
-    |
-    |                                   /----------------- F
-    \-----------------------------------+
-                                        \----------------- H
-
-Alternatively, the tree can be pruned based on a set of taxa that you want to *keep*. This can be affected through the use of the counterpart "retain" methods, :meth:`~dendropy.datamodel.treemodel.Tree.retain_taxa()` and :meth:`~dendropy.datamodel.treemodel.Tree.retain_taxa_with_labels()`. For example:
-
-.. literalinclude:: /examples/retain_taxa_with_labels.py
-
-which results in::
-
-    Before:
-    [&R] ((A,(B,(C,(D,E)))),(F,(G,H)));
-
-              /------------------------------------------- A
-    /---------+
-    |         |          /-------------------------------- B
-    |         \----------+
-    |                    |          /--------------------- C
-    |                    \----------+
-    +                               |          /---------- D
-    |                               \----------+
-    |                                          \---------- E
-    |
-    |                               /--------------------- F
-    \-------------------------------+
-                                    |          /---------- G
-                                    \----------+
-                                               \---------- H
-
-
-    After:
-    [&R] ((A,C),G);
-
-                               /-------------------------- A
-    /--------------------------+
-    +                          \-------------------------- C
-    |
-    \----------------------------------------------------- G
-
-Again, it should be noted that, as these operations modify the structure of the tree, you need to call :meth:`~dendropy.datamodel.treemodel.Tree.update_bipartitions()` to update the internal splits hashes, before carrying out any calculations, comparisons, or metrics.
-
-Rotating
-========
-
-You can ladderize trees (sort the child nodes in order of the number of their children) by calling the :meth:`~dendropy.datamodel.treemodel.Tree.ladderize()` method. This method takes one argument, ``ascending``. If ``ascending=True``, which is the default, then the nodes are sorted in ascending order (i.e., nodes with fewer children sort before nodes with more children). If ``ascending=False``, then the nodes are sorted in descending order (i.e., nodes with more children sorting before  [...]
-
-.. literalinclude:: /examples/ladderize.py
-
-
-results in::
-
-    Before:
-    [&R] ((A,(B,(C,(D,E)))),(F,(G,H)));
-
-              /------------------------------------------- A
-    /---------+
-    |         |          /-------------------------------- B
-    |         \----------+
-    |                    |          /--------------------- C
-    |                    \----------+
-    +                               |          /---------- D
-    |                               \----------+
-    |                                          \---------- E
-    |
-    |                               /--------------------- F
-    \-------------------------------+
-                                    |          /---------- G
-                                    \----------+
-                                               \---------- H
-
-
-    Ladderize, ascending=True:
-    [&R] ((F,(G,H)),(A,(B,(C,(D,E)))));
-
-                                    /--------------------- F
-    /-------------------------------+
-    |                               |          /---------- G
-    |                               \----------+
-    +                                          \---------- H
-    |
-    |         /------------------------------------------- A
-    \---------+
-              |          /-------------------------------- B
-              \----------+
-                         |          /--------------------- C
-                         \----------+
-                                    |          /---------- D
-                                    \----------+
-                                               \---------- E
-
-
-    Ladderize, ascending=False:
-    [&R] (((((D,E),C),B),A),((G,H),F));
-
-                                               /---------- D
-                                    /----------+
-                         /----------+          \---------- E
-                         |          |
-              /----------+          \--------------------- C
-              |          |
-    /---------+          \-------------------------------- B
-    |         |
-    |         \------------------------------------------- A
-    +
-    |                                          /---------- G
-    |                               /----------+
-    \-------------------------------+          \---------- H
-                                    |
-                                    \--------------------- F
-
-Tree rotation operations do not actually change the tree structure, at least in so far as splits are concerned, so it is not neccessary to update the splits hashes.
diff --git a/doc/source/primer/trees.rst b/doc/source/primer/trees.rst
deleted file mode 100644
index 5a038ba..0000000
--- a/doc/source/primer/trees.rst
+++ /dev/null
@@ -1,220 +0,0 @@
-*****
-Trees
-*****
-
-The |Tree| Class
-================
-
-:term:`Trees <tree>` in DendroPy are represented by objects of the class |Tree|.
-:term:`Trees <tree>` consist of a collection of :term:`nodes <node>`, represented by objects of the class |Node|, connected to each other in parent-child or ancestor-descendent relationships by objects of the class |Edge|.
-The first or initial :term:`node` of a |Tree| is the head of the data structure, and is represented by the :attr:`seed_node` attribute of a |Tree| object.
-If the tree is :term:`rooted <rooted tree>`, then this is the :term:`root node`.
-If the tree is :term:`unrooted <unrooted tree>`, however, then this is an artificial node that *only* serves as the initial node when iterating over a tree in :term:`preorder <preorder traversal>` or the final node when iterating over the tree in :term:`postorder <postorder traversal>`, but does not have any informational significance by itself: it is an algorithmic artifact.
-
-The :attr:`~dendropy.datamodel.treemodel.Tree.seed_node` attribute of a |Tree| object, like every other node on the tree, is an object of the |Node| class.
-Every |Node| object maintains a list of its immediate child |Node| objects as well as a reference to its parent |Node| object.
-You can iterate over the :term:`child <child node>` of a particular |Node| object using the :meth:`~dendropy.datamodel.treemodel.Node.child_node_iter()` method, get a shallow-copy list of child |Node| objects using the :meth:`~dendropy.datamodel.treemodel.Node.child_nodes()` method, or access the :term:`parent <parent node>` |Node| object directly through the :attr:`~dendropy.datamodel.treemodel.Node.parent_node` attribute of the |Node|.
-By definition, the :attr:`~dendropy.datamodel.treemodel.Tree.seed_node` has no :term:`parent node`, :term:`leaf nodes <leaf node>` have no :term:`child nodes <child node>`, and term:`internal nodes <internal node>` have both :term:`parent nodes <parent node>` and :term:`child nodes <child node>`.
-
-Every |Node| object has an attribute, :attr:`~dendropy.datamodel.treemodel.Node.edge`, which is an |Edge| object representing the :term:`edge` that is :term:`incident to or subtends <incident edge>` the :term:`node` represented by that |Node| object.
-Each |Edge|, in turn, has an attribute, :attr:`~dendropy.datamodel.treemodel.Edge.head_node`, which is the |Node| object representing the :term:`node` that the edge subtends.
-
-The |Tree|, |Node|, and |Edge| classes all have "``annotations``" as an attribute, which is a :class:`~dendropy.datamodel.basemodel.AnnotationSet` object, i.e. a collection of :class:`~dendropy.datamodel.basemodel.Annotation` instances tracking metadata.
-More information on working with metadata can be found in the ":doc:`/primer/working_with_metadata_annotations`" section.
-
-Reading and Writing |Tree| Instances
-====================================
-
-The |Tree| class supports the ":meth:`~dendropy.datamodel.treemodel.Tree.get`" factory class method for simultaneously instantiating and populating a |Tree| instance, taking a data source as the first argument and a :ref:`schema specification string <Specifying_the_Data_Source_Format>` ("``nexus``", "``newick``", "``nexml``", "``fasta``", or "``phylip``", etc.) as the second::
-
-    import dendropy
-    tree = dendropy.Tree.get(
-        path='pythonidae.mcmc.nex',
-        schema='nexus')
-
-A |Tree| object can be written to an external resource using the ":meth:`~dendropy.datamodel.treemodel.Tree.write`" method::
-
-    import dendropy
-    tree = dendropy.Tree.get(
-        path="trees1.nex",
-        schema="nexus",
-        tree_offset=2,
-        )
-    tree.write(
-        path="trees1.newick",
-        schema="newick",
-        )
-
-It can also be represented as a string using the ":meth:`~dendropy.datamodel.treemodel.Tree.as_string`" method::
-
-    import dendropy
-    tree = dendropy.Tree.get(
-        path="trees1.nex",
-        schema="nexus",
-        )
-    print(tree.as_string(schema="newick",)
-
-More information on reading operations is available in the :doc:`/primer/reading_and_writing` section.
-
-Cloning/Copying a |Tree|
-========================
-
-You can make a "taxon namespace-scoped" copy of a |Tree| instance, i.e., where all |Node| and associated |Edge| instances of a |Tree| are cloned, but references to |Taxon| objects are preserved, you can call :meth:`dendropy.datamodel.treemodel.Tree.clone` with a "``depth``" argument value of 1 or by copy construction:
-
-.. literalinclude:: /examples/tree_copy1.py
-
-Finally, for a true and complete deep-copy, where even the |Taxon| and |TaxonNamespace| references are copied, call :func:`copy.deepcopy`:
-
-.. literalinclude:: /examples/tree_copy2.py
-
-Tree Traversal
-==============
-
-Iterating Over Nodes
---------------------
-
-The following example shows how you might evolve a continuous character on a tree by recursively visting each node, and setting the value of the character to one drawn from a normal distribution centered on the value of the character of the node's ancestor and standard deviation given by the length of the edge subtending the node:
-
-.. literalinclude:: /examples/tree_evolve_char1.py
-    :linenos:
-
-While the previous example works, it is probably clearer and more efficient to use one of the pre-defined node iterator methods:
-
-    :meth:`~dendropy.datamodel.treemodel.Tree.preorder_node_iter()`
-        Iterates over nodes in a |Tree| object in a `depth-first <http://en.wikipedia.org/wiki/Depth-first_traversal>`_ search pattern, i.e., "visiting" a node before visiting the children of the node. This is the same traversal order as the previous example. This traversal order is useful if you require ancestral nodes to be processed before descendent nodes, as, for example, when evolving sequences over a tree.
-
-    :meth:`~dendropy.datamodel.treemodel.Tree.postorder_node_iter()`
-        Iterates over nodes in a |Tree| object in a `postorder <http://en.wikipedia.org/wiki/Tree_traversal>`_ search pattern, i.e., visiting the children of the node before visiting the node itself. This traversal order is useful if you require descendent nodes to be processed before ancestor nodes, as, for example, when calculating ages of nodes.
-
-    :meth:`~dendropy.datamodel.treemodel.Tree.level_order_node_iter()`
-        Iterates over nodes in a |Tree| object in a  `breadth-first <http://en.wikipedia.org/wiki/Breadth-first_traversal>`_  search pattern, i.e., every node at a particular level is visited before proceeding to the next level.
-
-    :meth:`~dendropy.datamodel.treemodel.Tree.leaf_node_iter()`
-        Iterates over the leaf or tip nodes of a |Tree| object.
-
-The previous example would thus be better implemented as follows:
-
-.. literalinclude:: /examples/tree_evolve_char2.py
-
-The nodes returned by each of these iterators can be filtered if a filter function is passed as a second argument to the iterator.
-This filter function should take a |Node| object as an argument, and return |True| if the node is to be returned or |False| if it is not. For example, the following iterates over all nodes that have more than two children:
-
-.. literalinclude:: /examples/preorder_filtered_node_iteration.py
-    :linenos:
-
-Iterating Over Edges
---------------------
-
-The |Edge| objects associated with each |Node| can be accessed through the :attr:`~dendropy.datamodel.treemodel.Node.edge` attribute of the |Node| object.
-So it is possible to iterate over every edge on a tree by iterating over the nodes and referencing the :attr:`~dendropy.datamodel.treemodel.Node.edge` attribute of the node when processing the node.
-But it is clearer and probably more convenient to use one of the |Edge| iterators:
-
-    :meth:`~dendropy.datamodel.treemodel.Tree.preorder_edge_iter()`
-        Iterates over edges in a |Tree| object in a `depth-first <http://en.wikipedia.org/wiki/Depth-first_traversal>`_ search pattern, i.e., "visiting" an edge before visiting the edges descending from that edge. This is the same traversal order as the previous example. This traversal order is useful if you require ancestral edges to be processed before descendent edges, as, for example, when calculating the sum of edge lengths from the root.
-
-    :meth:`~dendropy.datamodel.treemodel.Tree.postorder_edge_iter()`
-        Iterates over edges in a |Tree| object in a `postorder <http://en.wikipedia.org/wiki/Tree_traversal>`_ search pattern, i.e., visiting the descendents of the edge before visiting the edge itself. This traversal order is useful if you require descendent edges to be processed before ancestral edges, as, for example, when calculating the sum of edge lengths from the tip
-
-    :meth:`~dendropy.datamodel.treemodel.Tree.level_order_edge_iter()`
-        Iterates over edges in a |Tree| object in a  `breadth-first <http://en.wikipedia.org/wiki/Breadth-first_traversal>`_  search pattern, i.e., every edge at a particular level is visited before proceeding to the next level.
-
-The following example sets the edge lengths of a tree to the proportions of the total tree length that they represent:
-
-.. literalinclude:: /examples/rescale_tree_length.py
-    :linenos:
-
-While this one removes the edge lengths entirely:
-
-.. literalinclude:: /examples/remove_branch_lengths.py
-    :linenos:
-
-Like the node iterators, the edge iterators also optionally take a filter function as a second argument, except here the filter function should take an |Edge| object as an argument.
-The following example shows how you might iterate over all edges with lengths less than some value:
-
-.. literalinclude:: /examples/preorder_filtered_edge_iteration.py
-    :linenos:
-
-Finding Nodes on Trees
-======================
-
-Nodes with Particular Taxa
---------------------------
-
-To retrieve a node associated with a particular taxon, we can use the :meth:`~dendropy.datamodel.treemodel.Tree.find_taxon_node()` method, which takes a filter function as an argument.
-The filter function should take a |Taxon| object as an argument and return |True| if the taxon is to be returned.
-For example:
-
-.. literalinclude:: /examples/find_taxon_node1.py
-
-Because we might find it easier to refer to |Taxon| objects by their labels, a convenience method that wraps the retrieval of nodes associated with |Taxon| objects of particular label is provided:
-
-.. literalinclude:: /examples/find_taxon_node2.py
-
-Most Recent Common Ancestors
-----------------------------
-
-The MRCA (most recent common ancestor) of taxa or nodes can be retrieved by the instance method :meth:`~dendropy.datamodel.treemodel.Tree.mrca()`.
-This method takes a list of |Taxon| objects given by the ``taxa`` keyword argument, or a list of taxon labels given by the ``taxon_labels`` keyword argument, and returns a |Node| object that corresponds to the MRCA of the specified taxa.
-For example:
-
-.. literalinclude:: /examples/mrca.py
-
-Note that this method is inefficient when you need to resolve MRCA's for multiple sets or pairs of taxa.
-In this context, the :class:`~dendropy.calculate.treemeasure.PatristicDistanceMatrix` offers a more efficient approach, and should be preferred for applications such as calculating the patristic distances between all pairs of taxa:
-
-.. literalinclude:: /examples/mrca2.py
-
-Viewing and Displaying Trees
-============================
-
-Sometimes it is useful to get a visual representation of a |Tree|.
-
-For quick inspection, the :meth:`~dendropy.datamodel.treemodel.Tree.print_plot()` will write an ASCII text plot to the standard output stream::
-
-    >>> t = dendropy.Tree.get_from_string("(A,(B,(C,D)))", "newick")
-    >>> t.print_plot()
-    /----------------------------------------------- A
-    +
-    |                /------------------------------ B
-    \----------------+
-                     |          /------------------- C
-                     \----------+
-                                \------------------- D
-
-If you need to store this representation as a string instead, you can use :meth:`~dendropy.datamodel.treemodel.Tree.as_ascii_plot()`::
-
-    >>> s = t.as_ascii_plot()
-    >>> print(s)
-    /----------------------------------------------- A
-    +
-    |                /------------------------------ B
-    \----------------+
-                     |          /------------------- C
-                     \----------+
-                                \------------------- D
-
-You can also, as mentioned above, using the :meth:`~dendropy.datamodel.treemodel.Tree.as_string` method to represent a |Tree| as string in any format::
-
-    t = dendropy.Tree.get_from_string("(A,(B,(C,D)))", "newick")
-    print(t.as_string(schema="nexus"))
-    print(t.as_string(schema="newick"))
-
-
-Building a Tree Programmatically
-================================
-
-For example:
-
-.. literalinclude:: /examples/build_tree_programmatically.py
-
-produces the following::
-
-    ((A:1,B:2):1,(C:1,D:2):1);
-
-                                       /---------------------------------- A
-    /----------------------------------+
-    |                                  \---------------------------------- B
-    +
-    |                                  /---------------------------------- C
-    \----------------------------------+
-                                       \---------------------------------- D
diff --git a/doc/source/primer/treesims.rst b/doc/source/primer/treesims.rst
deleted file mode 100644
index f23387c..0000000
--- a/doc/source/primer/treesims.rst
+++ /dev/null
@@ -1,285 +0,0 @@
-******************************
-Tree Simulation and Generation
-******************************
-
-The :mod:`~dendropy.simulate.treesim` module provides functions for the simulation of trees under a variety of theoretical models.
-This module is actually just a namespace that aggregates functions and classes for tree simulation routines in one convenient place.
-For example the :func:`~dendropy.model.birthdeath.birth_death_tree()` function
-is actually defined in the :mod:`~dendropy.model.birthdeath` module, but is
-exposed in the :mod:`~dendropy.simulate.treesim` for ease of access.
-
-Birth-Death Process Trees
-=========================
-
-There are two different birth-death process tree simulation routines in DendroPy:
-
-    :func:`~dendropy.simulate.treesim.birth_death_tree()`
-        Returns a tree generated under a continuous-time birth-death process, with branch lengths in arbitrary time units.
-
-    :func:`~dendropy.simulate.treesim.discrete_birth_death_tree()`
-        Returns a tree generated under discrete-time birth-death process, with branch length in generation units.
-
-Both of these functions have identical interfaces, and will grow a tree under a branching process with the specified birth-date and death-rate until the termination condition (pre-specified number of leaves or maximum amount of time) is met.
-
-For example, to get a continuous-time tree with 10 leaves, generated under a birth rate of 1.0 and death rate of 0.5::
-
-    >>> from dendropy.simulate import treesim
-    >>> t = treesim.birth_death_tree(birth_rate=1.0, death_rate=0.5, ntax=10)
-    >>> t.print_plot()
-                  /-------------------------------------------- T1
-                  |
-    /-------------+                             /-------------- T2
-    |             |              /--------------+
-    |             \--------------+              \-------------- T3
-    |                            |
-    |                            \----------------------------- T4
-    +
-    |                            /----------------------------- T5
-    |             /--------------+
-    |             |              |              /-------------- T6
-    |             |              \--------------+
-    \-------------+                             \-------------- T7
-                  |
-                  |                             /-------------- T8
-                  |              /--------------+
-                  \--------------+              \-------------- T9
-                                 |
-                                 \----------------------------- T10
-
-While to get a continuous time tree generated under the same rates after 6 time units::
-
-    >>> t = treesim.birth_death_tree(birth_rate=1.0, death_rate=0.5, max_time=6.0)
-
-If both conditions are given simultaneously, then tree growth will terminate when
-*any* of the termination conditions (i.e., number of tips == ``ntax``, or number
-of tips == len(taxon_namespace) or maximum time == ``max_time``) are met.
-
-Specifying a |TaxonNamespace|
------------------------------
-
-By default, a new |Taxon| object will be created and associated with each leaf (labeled "T1", "T2", etc.),  all belonging to a new |TaxonNamespace| object associated with the resulting tree.
-
-You can pass in an explicit |TaxonNamespace| object using the "``taxon_namespace``" keyword::
-
-    >>> import dendropy
-    >>> from dendropy.simulate import treesim
-    >>> taxa = dendropy.TaxonNamespace(['a', 'b', 'c', 'd', 'e', 'f', 'g', 'h'])
-    >>> t = treesim.birth_death_tree(0.4, 0.1, taxon_namespace=taxa)
-    >>> t.print_plot()
-                /-------------------------------------- h
-                |
-    /-----------+                         /------------ c
-    |           |            /------------+
-    |           \------------+            \------------ a
-    |                        |
-    +                        \------------------------- g
-    |
-    |                                     /------------ e
-    |                        /------------+
-    |                        |            \------------ f
-    \------------------------+
-                             |            /------------ d
-                             \------------+
-                                          \------------ b
-
-
-In this case, the branching process underlying the tree generation will terminate when the number of leaves in the tree equals the number of taxa in the |TaxonNamespace| "``taxa``", and the |Taxon| objects in "``taxa``" will be randomly assigned to the leaves.
-
-The "``taxon_namespace``" keyword can be combined with the "``ntax``" keyword.
-If the size of the |TaxonNamespace| object given by the ``taxon_namespace`` argument is greater than the specified target tree taxon number, then a random subset of |Taxon| object in the |TaxonNamespace| will be assigned to the leaves::
-
-    >>> import dendropy
-    >>> from dendropy.simulate import treesim
-    >>> taxa = dendropy.TaxonNamespace(['a', 'b', 'c', 'd', 'e', 'f', 'g', 'h'])
-    >>> t = treesim.birth_death_tree(birth_rate=1.0, death_rate=0.5, ntax=5, taxon_namespace=taxa)
-    >>> t.print_plot()
-    /-------------------------------------------------- g
-    |
-    +                        /------------------------- a
-    |           /------------+
-    |           |            |            /------------ d
-    \-----------+            \------------+
-                |                         \------------ c
-                |
-                \-------------------------------------- f
-
-If the size of the |TaxonNamespace| object is less than the target taxon number, then new |Taxon| objects will be created as needed and added to the |TaxonNamespace| object as well as associated with the leaves::
-
-    >>> import dendropy
-    >>> from dendropy.simulate import treesim
-    >>> taxa = dendropy.TaxonNamespace(['a', 'b'])
-    >>> t = treesim.birth_death_tree(birth_rate=1.0, death_rate=0.5, ntax=5, taxon_namespace=taxa)
-    >>> t.print_plot()
-                                     /---------------- a
-    /--------------------------------+
-    |                                \---------------- b
-    +
-    |               /--------------------------------- T3
-    \---------------+
-                    |                /---------------- T4
-                    \----------------+
-                                     \---------------- T5
-
-
-Repeating Failed Branching Processes
-------------------------------------
-
-With a non-zero death rate, it is possible for all lineages of a tree to go extinct before the termination conditions are reached.
-In this case, by default a :class:`~dendropy.simulate.treesim.TreeSimTotalExtinctionException` will be raised::
-
-    >>> t = treesim.birth_death_tree(birth_rate=1.0, death_rate=0.9, ntax=10)
-    Traceback (most recent call last):
-      File "<stdin>", line 1, in <module>
-      File "/Users/jeet/Projects/DendroPy/dendropy/treesim.py", line 188, in birth_death
-        raise TreeSimTotalExtinctionException()
-    dendropy.simulate.treesim.TreeSimTotalExtinctionException
-
-If the keyword argument "``repeat_until_success``" is given, then instead of raising an exception the process starts again and repeats until the termination condition is met::
-
-    >>> t = treesim.birth_death_tree(birth_rate=1.0,
-    ...                         death_rate=0.9,
-    ...                         ntax=10,
-    ...                         repeat_until_success=True)
-    >>> t.print_plot()
-                                           /------------------- T1
-    /--------------------------------------+
-    |                                      |         /--------- T2
-    |                                      \---------+
-    |                                                \--------- T3
-    +
-    |                                                /--------- T4
-    |        /---------------------------------------+
-    |        |                                       \--------- T5
-    |        |
-    \--------+                   /----------------------------- T6
-             |         /---------+
-             |         |         |         /------------------- T7
-             |         |         \---------+
-             \---------+                   |         /--------- T8
-                       |                   \---------+
-                       |                             \--------- T9
-                       |
-                       \--------------------------------------- T10
-
-Suppressing Taxon Assignment
-----------------------------
-You can specify "``assign_taxa``" to be ``False``  to avoid taxa from being automatically assigned to a tree (for example, when you want to build a tree in stages -- see below).
-
-Extending an Existing Tree
---------------------------
-
-Both these functions also accept a Tree object (with valid branch lengths) as an argument passed using the keyword ``tree``.
-If given, then this tree will be used as the starting point; otherwise a new one will be created.
-
-Evolving Birth and Death Rates
-------------------------------
-
-The same functions can also produce trees generated under variable birth and death rates.
-The "``birth_rate_sd``" keyword argument specifies the standard deviation of the normally-distributed error of birth rates as they evolve from parent to child node, while the "``death_rate_sd``" keyword argument specifies the same of the the death rates.
-For example, to get a 10-taxon tree generated under a birth- and death-rate that evolves with a standard deviation of 0.1::
-
-    >>> t = treesim.birth_death_tree(birth_rate=1.0,
-                death_rate=0.5,
-                birth_rate_sd=0.1,
-                death_rate_sd=0.1,
-                ntax=10)
-
-Building a Tree in Multiple Stages under Different Conditions
--------------------------------------------------------------
-
-You might want to generate a tree under different condition in different stages.
-To do this, you would start with an empty tree and passing it to the birth-death function as an argument using the "``tree``" keyword argument, and at the same time suppress the automatic taxon assignment using the "``assign_taxa=False``" keyword argument to avoid taxa being assigned to what will eventually become internal nodes.
-When the tree is ready, you will call the :meth:`~dendropy.datamodel.treemodel.Tree.randomly_assign_taxa()` function to assign taxa at random to the leaves.
-
-For example, the following generates a birth-death tree with equal birth and death rates, but both rates shifting for a short while to a temporarily higher (though equal) rates:
-
-.. literalinclude:: /examples/bdtree_multi1.py
-    :linenos:
-
-Another example draws birth and death rates from a normal distribution with the same mean and standard deviation in multiple stages:
-
-.. literalinclude:: /examples/bdtree_multi2.py
-    :linenos:
-
-Star Trees
-==========
-
-The :func:`~dendropy.simulate.treesim.star_tree()` generates a simple polytomy tree, with a single node as the immediate ancestor to a set of leaves, with one leaf per |Taxon| in the |TaxonNamespace| object given by the ``taxon_namespace`` argument.
-For example::
-
-    >>> from dendropy.simulate import treesim
-    >>> taxa = dendropy.TaxonNamespace(['a', 'b', 'c', 'd', 'e'])
-    >>> tree = treesim.star_tree(taxa)
-    >>> print(tree.as_ascii_plot())
-    /-------------------------------------- a
-    |
-    |-------------------------------------- b
-    |
-    +-------------------------------------- c
-    |
-    |-------------------------------------- d
-    |
-    \-------------------------------------- e
-
-
-(Pure Neutral) Coalescent Trees
-===============================
-
-The :func:`~dendropy.simulate.treesim.pure_kingman()` function returns a tree generated under an unconstrained neutral coalescent model. The first argument to this function, ``taxon_namespace``, is a |TaxonNamespace| object, where each member |Taxon| object represents a gene to be coalesced. The second argument, ``pop_size``, specifies the population size in terms of the number of gene copies in the population. This means that for a diploid population of size ``N``, ``pop_size`` should b [...]
-
-.. literalinclude:: /examples/pure_kingman1.py
-
-.. _Simulating_Contained_Coalescent_Trees:
-
-Contained Coalescent Trees
-==========================
-
-The :func:`~dendropy.simulate.treesim.contained_coalescent()` function returns a tree generated under a neutral coalescent model conditioned on population splitting times or events given by a containing species or population tree.
-Such a tree is often referred to as a contained, embedded, censored, truncated, or constrained genealogy/tree.
-At a minimum, this function takes two arguments: a |Tree| object representing the containing (species or population) tree, and a |TaxonNamespaceMapping| object describing how the sampled gene taxa map or are associated with the species/population |Tree| taxa.
-
-The |Tree| object representing the containing species or population tree should be rooted and ultrametric.
-If edge lengths are given in generations, then a meaningful population size needs to be communicated to the :func:`~dendropy.simulate.treesim.contained_coalescent()` function.
-In general, for coalescent operations in DendroPy, unless otherwise specified, population sizes are the *haploid* population size, i.e. the number of genes in the population.
-This is 2N for a diploid population with N individuals, or N for haploid population of N individuals.
-If edge lengths are given in population units (e.g., N), then the appropriate population size to use is 1.
-
-If the population size is fixed throughout the containing species/population tree, then simply passing in the appropriate value using the ``default_pop_size`` argument to the :func:`~dendropy.simulate.treesim.contained_coalescent()` function is sufficient.
-If, on the other hand, the population size varies, the a special attribute must be added to each edge, "``pop_size``", that specifies the population size for that edge.
-For example::
-
-    tree = dendropy.Tree.get_from_path("sp.tre", "newick")
-    for edge in tree.postorder_edge_iter():
-            edge.pop_size = 100000
-
-The easiest way to get a |TaxonNamespaceMapping| object is to call the special factory function :meth:`~dendropy.datamodel.taxonmodel.TaxonNamespaceMapping.create_contained_taxon_mapping()`.
-This will create a new |TaxonNamespace| to manage the gene taxa, and create the associations between the gene taxa and the containing tree taxa for you.
-It takes two arguments: the |TaxonNamespace| of the containing tree, and the number of genes you want sampled from each species.
-
-The following example shows how to create a |TaxonNamespaceMapping| using :meth:`~dendropy.datamodel.taxonmodel.TaxonNamespaceMapping.create_contained_taxon_mapping()`, and then calls :meth:`~dendropy.simulate.treesim.contained_coalescent()` to produce a contained coalescent tree:
-
-.. literalinclude:: /examples/contained_coalescent1.py
-
-In the above example, the branch lengths were in haploid population units, so we did not specify a population size.
-If the gene-species associations are more complex, e.g., different numbers of genes per species, we can pass in a list of values as the second argument to :meth:`~dendropy.datamodel.taxonmodel.TaxonNamespaceMapping.create_contained_taxon_mapping()`:
-
-
-.. literalinclude:: /examples/contained_coalescent2.py
-
-This approach should be used with caution if we cannot be certain of the order of taxa (as is the case with data read in Newick formats). In these case, and in more complex cases, we might need to directly instantiate the :class:`~dendropy.datamodel.taxonmodel.TaxonNamespaceMapping` object. The API to describe the associations when constructing this object is very similar to that of the :class:`~dendropy.datamodel.taxonmodel.TaxonNamespacePartition` object: you can use a function, attrib [...]
-
-.. _Simulating_and_Counting_Deep_Coalescences:
-
-Simulating the Distribution of Number Deep Coalescences Under Different Phylogeographic History Scenarios
-=========================================================================================================
-
-A typical application for simulating censored coalescent trees is to produce a distribution of trees under different hypotheses of demographic or phylogeographic histories.
-
-For example, imagine we wanted to generate the distribution of the number of deep coalescences under two scenarios: one in which a population underwent sequential or step-wise vicariance, and another when there was simultaneous fragmentation.
-This can be achieved by generating trees under :meth:`~dendropy.simulate.treesim.contained_coalescent()`, and then using a :class:`~dendropy.reconcile.ContainingTree` object to embed the trees and count the number of deep coalescences.
-
-.. literalinclude:: /examples/sim_and_count_deepcoal1.py
-
-Actually, the  :class:`~dendropy.reconcile.ContainingTree` class has its own native contained coalescent simulator, :meth:`~dendropy.reconcile.ContainingTree.embed_contained_kingman()`, which simulates *and* embeds a contained coalescent tree at the same time. So a more practical approach might be:
-
-.. literalinclude:: /examples/sim_and_count_deepcoal2.py
diff --git a/doc/source/primer/treestats.rst b/doc/source/primer/treestats.rst
deleted file mode 100644
index 85c3af9..0000000
--- a/doc/source/primer/treestats.rst
+++ /dev/null
@@ -1,189 +0,0 @@
-****************************************************************
-Tree Statistics, Metrics, Summarizations, and Other Calculations
-****************************************************************
-
-Some general tree metrics that are calculated without reference to any particular model or data and general report some tree metadata (e.g., tree length, node ages, etc.) are available as instance methods.
-More specialized tree statistics, however, are available through functions in various other modules:
-
--   The :mod:`~dendropy.calculate.treemeasure` module provides for calculation of statistics that are typically calculated on a single tree
--   The :mod:`~dendropy.calculate.treecompare` module provides for calculation of statistics that are typically calculated between trees
--   The :mod:`~dendropy.calculate.treescore` module provides for statistics that typically score a tree under a model and with reference to some sort of data.
--   The :mod:`~dendropy.model.coalescent` module provides for calcuations on trees under the coalescent model.
-
-Native Tree Statistic and Metric Methods
-========================================
-
-Basic meta-information about tree structure are available as native |Tree| methods.
-
-Tree Length
------------
-
-The :meth:`~dendropy.datamodel.treemodel.Tree.length()` method returns the sum of edge lengths of a |Tree| object, with edges that do not have any length assigned being treated as edges with length 0.
-The following example shows how to identify the "critical" value for an `Archie-Faith-Cranston or PTP test <http://hymenoptera.tamu.edu/courses/ento606/Suggested%20Readings/Slowinksi_Crother_1998.pdf>`_ from a sample of |Tree| objects, i.e. a tree length equal to or greater than 95% of the trees in the sample:
-
-.. literalinclude:: /examples/tree_length_crit.py
-
-Node Ages
----------
-
-The :meth:`~dendropy.datamodel.treemodel.Tree.calc_node_ages()` method calculates the age of a node (i.e., the sum of edge lengths from the node to a tip) and assigns it to the :attr:`~dendropy.datamodel.treemodel.Node.age` attribute. The following example iterates through the post-burnin of an MCMC sample of ultrametric trees, calculating the age of the MRCA of two taxa, and reports the mean age of the node.
-
-.. literalinclude:: /examples/node_ages1.py
-
-Number of Lineages at a Particular Time and Lineage Through Time Plots
-----------------------------------------------------------------------
-
-The :meth:`~dendropy.datamodel.treemodel.Tree.num_lineages_at()` method of the |Tree| class returns the number of lineages at a particular time given in terms of distance from the root.
-The following example extracts the number of lineages at fixed intervals along the length of the tree to use in an Lineage Through Time (LTT) plot:
-
-.. literalinclude:: /examples/ltt.py
-
-
-Unary Tree Statistics and Metrics
-=================================
-
-Numerous specialized statistics and indexes of tree shape and structure (B1, Colless' imbalance, Pybus-Harvey-Gamma, etc.) are available through the :mod:`~dendropy.calculate.treemeasure` module:
-
-
-.. literalinclude:: /examples/treemeasures1.py
-
-Pybus-Harvey Gamma
-------------------
-
-The Pybus-Harvey Gamma statistic is given by the :meth:`~dendropy.datamodel.treemodel.Tree.pybus_harvey_gamma()` instance method. The following example iterates through the post-burn-in of an MCMC sample of trees, reporting the mean Pybus-Harvey Gamma statistic:
-
-.. literalinclude:: /examples/pbhg.py
-
-Patristic Distances
--------------------
-
-The :class:`~dendropy.treecalc.PatristicDistanceMatrix` is the most efficient way to calculate the patristic distances between taxa or leaves on a tree, when doing multiple such calculations.
-Its constructor takes a |Tree| object as an argument, and the object return is callable, taking two |Taxon| objects as arguments and returning the sum of edge lengths between the two. The following example reports the pairwise distances between all taxa on the input tree:
-
-.. literalinclude:: /examples/pdm.py
-
-Comparing and Summarizing Trees
-===============================
-
-Distances Between Trees
------------------------
-
-Unweighted Robinson-Foulds Distance
-...................................
-
-The *unweighted* Robinson-Foulds distance (often referred to as just the Robinson-Foulds distance) is given by the :func:`dendropy.calculate.treecompare.symmetric_difference` function:
-
-
-.. literalinclude:: /examples/symdiff1.py
-
-Note that the two trees *must* share the same |TaxonNamespace| reference, otherwise an error will be raised::
-
-    >> import dendropy
-    >> from dendropy.calculate import treecompare
-    >> s1 = "(a,(b,(c,d)));"
-    >> s2 = "(a,(d,(b,c)));"
-    >> tree1 = dendropy.Tree.get(data=s1, schema='newick')
-    >> tree2 = dendropy.Tree.get(data=s2, schema='newick')
-    >> print(treecompare.symmetric_difference(tree1, tree2))
-    Traceback (most recent call last):
-        File "<stdin>", line 1, in <module>
-            print(treecompare.symmetric_difference(tree1, tree2))
-        File "/Users/jeet/Documents/Projects/Phyloinformatics/DendroPy/dendropy/dendropy/calculate/treecompare.py", line 85, in symmetric_difference
-            is_bipartitions_updated=is_bipartitions_updated)
-        File "/Users/jeet/Documents/Projects/Phyloinformatics/DendroPy/dendropy/dendropy/calculate/treecompare.py", line 221, in false_positives_and_negatives
-            raise error.TaxonNamespaceIdentityError(reference_tree, comparison_tree)
-        dendropy.utility.error.TaxonNamespaceIdentityError: Non-identical taxon namespace references: <TaxonNamespace object at 0x10052d310> is not <TaxonNamespace object at 0x101572210>
-
-Note, too, that results very much depend on the rooting states of the tree:
-
-.. literalinclude:: /examples/symdiff2.py
-
-Weighted Robinson-Foulds Distance
-.................................
-
-The *weighted* Robinson-Foulds distance takes edge lengths into account, and is given by the :func:`dendropy.calculate.treecompare.weighted_robinson_foulds_distance`:
-
-.. literalinclude:: /examples/weightedrf1.py
-
-Euclidean Distance
-..................
-
-The Euclidean distance, like the weighted Robinson-Foulds distance takes edge lengths into account, but squares the edge lengths instead of taking the absolute distance, and is given by the :func:`dendropy.calculate.treecompare.euclidean_distance`:
-
-.. literalinclude:: /examples/euctree.py
-
-Majority-Rule Consensus Tree from a Collection of Trees
--------------------------------------------------------
-
-To get the majority-rule consensus tree of a |TreeList| object, you can call the :meth:`~dendropy.datamodel.treecollectionmodel.TreeList.consensus()` instance method.
-You can specify the frequency threshold for the consensus tree by the ``min_freq`` argument, which default to 0.5 (i.e., a 50% majority rule tree).
-The following example aggregates the post-burn-in trees from four MCMC samples into a single |TreeList| object, and prints the 95% majority-rule consensus as a Newick string:
-
-.. literalinclude:: /examples/majrule.py
-
-Frequency of a Split in a Collection of Trees
----------------------------------------------
-
-The :meth:`~dendropy.datamodel.treecollectionmodel.TreeList.frequency_of_split()` method of a |TreeList| object returns the frequency of occurrence of a single split across all the |Tree| objects in the |TreeList|.
-The split can be specified by passing a split bitmask directly using the ``split_bitmask`` keyword argument, as a list of |Taxon| objects using the ``taxa`` keyword argument, or as a list of taxon labels using the ``labels`` keyword argument.
-The following example shows how to calculate the frequency of a split defined by two taxa, "Morelia amethistina" and "Morelia tracyae", from the post-burn-in trees aggregated across four MCMC samples:
-
-.. literalinclude:: /examples/splitfreq.py
-
-The Maximum Clade Credibility Tree: The Tree that Maximizes the Product of Split Support
-----------------------------------------------------------------------------------------
-
-The Maximum Clade Credibility Tree (MCCT) is one that maximize the *product* of split support, and is returned for a collection of trees managed in a |TreeList| instance by the :meth:`~dendropy.datamodel.treecollectionmodel.TreeList.maximum_product_of_split_support_tree` method:
-
-.. literalinclude:: /examples/mcct.py
-
-Unfortunately, terminology in usage and literature regarding this type of summary is *very* confusing, and sometimes the term "MCCT" is used to refer to the tree that maximizes the *sum* of split support and "MCT" to the tree that maximizes the product of split support.
-If the tree that maximizes the *sum* of split support is the criteria required, then the :meth:`~dendropy.datamodel.treecollectionmodel.TreeList.maximum_sum_of_split_support_tree` method of the |TreeList| object should be used.
-
-Scoring Trees Under the Coalescent
-==================================
-
-Probability Under the Coalescent Model
----------------------------------------
-
-The :mod:`~dendropy.model.coalescent` module provides a range of methods for simulations and calculations under Kingman's coalescent framework and related models. For example:
-
-    :func:`~dendropy.model.coalescent.log_probability_of_coalescent_tree`
-        Given a |Tree| object as the first argument, and the haploid population size as the second, returns the log probability of the |Tree| under the neutral coalescent.
-
-Numbers of Deep Coalescences
-----------------------------
-
-    :func:`~dendropy.model.reconcile.reconciliation_discordance`
-        Given two |Tree| objects *sharing the same leaf-set*, this returns the number of deep coalescences resulting from fitting the first tree (e.g., a gene tree) to the second (e.g., a species tree). This is based on the algorithm described `Goodman, et al. <bioinformatics.oxfordjournals.org/cgi/reprint/14/9/819.pdf>`_ (Goodman, et al., 1979. Fitting the gene lineage into its species lineage,a parsimony strategy illustrated by cladograms constructed from globin sequences. Syst. Zool.  [...]
-
-    :func:`~dendropy.model.reconcile.monophyletic_partition_discordance`
-        Given a |Tree| object as the first argument, and a list of lists of
-        |Taxon| objects representing the expected monophyletic partitioning of the |TaxonNamespace| of the |Tree| as the second argument, this returns the number of deep coalescences found in the relationships implied by the |Tree| object, conditional on the taxon groupings given by the second argument. This statistic corresponds to the Slatkin and Maddison (1989) **s** statistic, as described `here <http://mesquiteproject.org/Mesquite_Folder/docs/mesquite/popGen/popGen.html#s>`_.
-
-Number of Deep Coalescences when Embedding One Tree in Another (e.g. Gene/Species Trees)
-----------------------------------------------------------------------------------------
-
-Imagine we wanted to generate the distribution of the number of deep coalescences under two scenarios: one in which a population underwent sequential or step-wise vicariance, and another when there was simultaneous fragmentation.
-In this case, the containing tree and the embedded trees have different leaf sets, and there is a many-to-one mapping of embedded tree taxa to containing tree taxa.
-
-The :class:`~dendropy.model.reconcile.ContainingTree` class is designed to allow for counting deep coalescences in cases like this.
-It requires a |TaxonNamespaceMapping| object, which provides an association between the embedded taxa and the containing taxa.
-The easiest way to get a |TaxonNamespaceMapping| object is to call the special factory function :meth:`~dendropy.datamodel.taxonmodel.TaxonNamespaceMapping.create_contained_taxon_mapping()`.
-This will create a new |TaxonNamespace| to manage the gene taxa, and create the associations between the gene taxa and the containing tree taxa for you.
-It takes two arguments: the |TaxonNamespace| of the containing tree, and the number of genes you want sampled from each species.
-If the gene-species associations are more complex, e.g., different numbers of genes per species, we can pass in a list of values as the second argument to :meth:`~dendropy.datamodel.taxonmodel.TaxonNamespaceMapping.create_contained_taxon_mapping()`.
-This approach should be used with caution if we cannot be certain of the order of taxa (as is the case with data read in Newick formats). In these case, and in more complex cases, we might need to directly instantiate the :class:`~dendropy.datamodel.taxonmodel.TaxonNamespaceMapping` object. The API to describe the associations when constructing this object is very similar to that of the :class:`~dendropy.datamodel.taxonmodel.TaxonNamespacePartition` object: you can use a function, attrib [...]
-
-The :class:`~dendropy.model.reconcile.ContainingTree` class has its own native contained coalescent simulator, :meth:`~dendropy.model.reconcile.ContainingTree.embed_contained_kingman()`, which simulates *and* embeds a contained coalescent tree at the same time.
-
-.. literalinclude:: /examples/sim_and_count_deepcoal2.py
-
-If you have used some other method to simulate your trees, you can use :meth:`~dendropy.model.reconcile.ContainingTree.embed_tree()` to embed the trees and count then number of deep coalescences.
-
-.. literalinclude:: /examples/sim_and_count_deepcoal1.py
-
-For more details on simulating contained coalescent trees and counting numbers of deep coalescences on them, see ":ref:`Simulating_Contained_Coalescent_Trees`" or ":ref:`Simulating_and_Counting_Deep_Coalescences`".
-
-
-
diff --git a/doc/source/primer/working_with_metadata_annotations.rst b/doc/source/primer/working_with_metadata_annotations.rst
deleted file mode 100644
index 78d9455..0000000
--- a/doc/source/primer/working_with_metadata_annotations.rst
+++ /dev/null
@@ -1,898 +0,0 @@
-*********************************
-Working with Metadata Annotations
-*********************************
-
-|DendroPy| provides a rich infrastructure for decorating most types of phylogenetic objects (e.g., the |DataSet|, |TaxonNamespace|, |Taxon| |TreeList|, |Tree|, and various |CharacterMatrix| classes) with metadata information.
-These phylogenetic objects have an attribute, :attr:`annotations`, that is an instance of the :class:`~dendropy.datamodel.basemodel.AnnotationSet` class, which is an iterable (derived from :class:`dendropy.utility.containers.OrderedSet`) that serves to manage a collection of :class:`~dendropy.datamodel.basemodel.Annotation` objects.
-Each :class:`~dendropy.datamodel.basemodel.Annotation` object tracks a single annotation element.
-These annotations will be rendered as ``meta`` elements when writing to NeXML format or ampersand-prepended comemnt strings when writing to NEXUS/NEWICK format.
-Note that full and robust expression of metadata annotations, including stable and consistent round-tripping of information, can only be achieved while in the NeXML format.
-
-Overview of the Infrastructure for Metadata Annotation in |DendroPy|
-====================================================================
-
-Each item of metadata is maintained in an object of the :class:`~dendropy.datamodel.basemodel.Annotation` class.
-This class has the following attributes:
-
-    :attr:`~dendropy.datamodel.basemodel.Annotation.name`
-        The name of the metadata item or annotation.
-
-    :attr:`~dendropy.datamodel.basemodel.Annotation.value`
-        The value or content of the metadata item or annotation.
-
-    :attr:`~dendropy.datamodel.basemodel.Annotation.datatype_hint`
-        Custom data type indication for NeXML output (e.g. "xsd:string").
-
-    :attr:`~dendropy.datamodel.basemodel.Annotation.name_prefix`
-        Prefix that represents an abbreviation of the namespace associated with
-        this metadata item.
-
-    :attr:`~dendropy.datamodel.basemodel.Annotation.namespace`
-        The namespace (e.g. "http://www.w3.org/XML/1998/namespace") of this
-        metadata item (NeXML output).
-
-    :attr:`~dendropy.datamodel.basemodel.Annotation.annotate_as_reference`
-        If |True|, indicates that this annotation should not be interpreted semantically as a literal value, but rather as a source to be dereferenced.
-
-    :attr:`~dendropy.datamodel.basemodel.Annotation.is_hidden`
-        If |True|, indicates that this annotation should not be printed or written out.
-
-    :attr:`~dendropy.datamodel.basemodel.Annotation.prefixed_name`
-        Returns the name of this annotation with its namespace prefix (e.g. "dc:subject").
-
-These :class:`~dendropy.datamodel.basemodel.Annotation` objects are typically collected and managed in a "annotations manager" container class, :class:`~dendropy.datamodel.basemodel.AnnotationSet`.
-This is a specialization of :class:`dendropy.utility.containers.OrderedSet` whose elements are instances of :class:`~dendropy.datamodel.basemodel.Annotation`.
-The full set of annotations associated with each object of |DataSet|, |TaxonNamespace|, |Taxon| |TreeList|, |Tree|, various |CharacterMatrix| and other phylogenetic data class types is available through the :attr:`annotations` attribute of those objects, which is an instance of :class:`~dendropy.datamodel.basemodel.AnnotationSet`.
-The :class:`~dendropy.datamodel.basemodel.AnnotationSet` includes the following additional methods to support the creation, access, and management of the :class:`~dendropy.datamodel.basemodel.Annotation` object elements contained within it:
-
-    - :meth:`~dendropy.datamodel.basemodel.AnnotationSet.add_new()`
-    - :meth:`~dendropy.datamodel.basemodel.AnnotationSet.add_bound_attribute()`
-    - :meth:`~dendropy.datamodel.basemodel.AnnotationSet.add_citation()`
-    - :meth:`~dendropy.datamodel.basemodel.AnnotationSet.findall()`
-    - :meth:`~dendropy.datamodel.basemodel.AnnotationSet.find()`
-    - :meth:`~dendropy.datamodel.basemodel.AnnotationSet.drop()`
-    - :meth:`~dendropy.datamodel.basemodel.AnnotationSet.values_as_dict()`
-
-
-..
-    The fundamental unit of metadata in |DendroPy| is the :class:`~dendropy.datamodel.basemodel.Annotation` object.
-    Each :class:`~dendropy.datamodel.basemodel.Annotation` object stores information regarding a single item of metadata, keeping track of, at a minimum, the name and value or content of the metadata item, which is accessible through the attributes ":attr:`~dendropy.datamodel.basemodel.Annotation.name`" and  ":attr:`~dendropy.datamodel.basemodel.Annotation.value`" respectively.
-    These :class:`~dendropy.datamodel.basemodel.Annotation` objects are typically collected and managed in a "annotations manager" container class, :class:`~dendropy.datamodel.basemodel.AnnotationSet`, which is a specialization of ":class:`dendropy.utility.containers.OrderedSet`".
-    Phylogenetic data objects of |DataSet|, |TaxonNamespace|, |Taxon| |TreeList|, |Tree|, various |CharacterMatrix| and other classes all have an attribute, ":attr:`annotations`", that represents an instance of the :class:`~dendropy.datamodel.basemodel.AnnotationSet` class, and whose elements are :class:`~dendropy.datamodel.basemodel.Annotation` objects that collectively make up the full set of annotations or metadata associated with that particular phylogenetic data object.
-        The elements of the ":attr:`annotations`" attribute of phylogenetic data objects are objects of :class:`~dendropy.datamodel.basemodel.Annotation` that collectively make up the full set of annotations or metadata associated with that particular phylogenetic data object.
-
-
-The following code snippet reads in a data file in NeXML format, and dumps out the annotations::
-
-    #! /usr/bin/env python
-
-    import sys
-    import dendropy
-    ds = dendropy.DataSet.get_from_path("sample1.xml", "nexml")
-    print "-- (dataset) ---\n"
-    for a in ds.annotations:
-        print "%s = '%s'" % (a.name, a.value)
-    for tree_list in ds.tree_lists:
-        for tree in tree_list:
-            print "\n-- (tree '%s') --\n" % tree.label
-            for a in tree.annotations:
-                print "%s = '%s'" % (a.name, a.value)
-
-Running the above results in::
-
-    -- (dataset) ---
-
-    bibliographicCitation = 'Wiklund H., Altamira I.V., Glover A., Smith C., Baco A., & Dahlgren T.G. 2012. Systematics and biodiversity of Ophryotrocha (Annelida, Dorvilleidae) with descriptions of six new species from deep-sea whale-fall and wood-fall habitats in the north-east Pacific. Systematics and Biodiversity, .'
-    subject = 'whale-fall'
-    changeNote = 'Generated on Wed Jun 06 11:02:45 EDT 2012'
-    subject = 'wood-fall'
-    title = 'Systematics and biodiversity of Ophryotrocha (Annelida, Dorvilleidae) with descriptions of six new species from deep-sea whale-fall and wood-fall habitats in the north-east Pacific'
-    publicationName = 'Systematics and Biodiversity'
-    creator = 'Wiklund H., Altamira I.V., Glover A., Smith C., Baco A., & Dahlgren T.G.'
-    publisher = 'Systematics and Biodiversity'
-    contributor = 'Wiklund H.'
-    volume = ''
-    contributor = 'Altamira I.V.'
-    number = ''
-    contributor = 'Glover A.'
-    historyNote = 'Mapped from TreeBASE schema using org.cipres.treebase.domain.nexus.nexml.NexmlDocumentWriter at 645f9132 $Rev: 1060 $'
-    contributor = 'Smith C.'
-    modificationDate = '2012-06-04'
-    contributor = 'Baco A.'
-    contributor = 'Dahlgren T.G.'
-    identifier.study.tb1 = 'None'
-    publicationDate = '2012'
-    section = 'Study'
-    doi = ''
-    title.study = 'Systematics and biodiversity of Ophryotrocha (Annelida, Dorvilleidae) with descriptions of six new species from deep-sea whale-fall and wood-fall habitats in the north-east Pacific'
-    subject = 'New species'
-    subject = 'Ophryotrocha'
-    creationDate = '2012-05-09'
-    subject = 'polychaeta'
-    date = '2012-06-04'
-    subject = 'molecular phylogeny'
-    identifier.study = '12713'
-
-    -- (tree 'con 50 majrule') --
-
-    ntax.tree = '41'
-    kind.tree = 'Species Tree'
-    quality.tree = 'Unrated'
-    isDefinedBy = 'http://purl.org/phylo/treebase/phylows/study/TB2:S12713'
-    type.tree = 'Consensus'
-
-
-The following sections discuss these methods and attributes in detail, describing how the create, read, write, search, and manipulate annotations.
-
-Metadata Annotation Creation
-=============================
-
-Reading Data from an External Source
-------------------------------------
-
-When reading data in NeXML format, metadata annotations given in the source are automatically created and associated with the corresponding data objects.
-
-The metadata annotations associated with the phylogenetic data objects are collected in the attribute ``annotations`` of the objects, which is an object of type :class:`~dendropy.datamodel.basemodel.AnnotationSet`.
-Each annotation item is represented as an
-object of type :class:`~dendropy.datamodel.basemodel.Annotation`.
-
-For example::
-
-    #! /usr/bin/env python
-    import dendropy
-    ds = dendropy.DataSet.get_from_path("pythonidae.annotated.nexml",
-    "nexml")
-    for a in ds.annotations:
-        print "Data Set '%s': %s" % (ds.label, a)
-    for taxon_namespace in ds.taxon_namespaces:
-        for a in taxon_namespace.annotations:
-            print "Taxon Set '%s': %s" % (taxon_namespace.label, a)
-        for taxon in taxon_namespace:
-            for a in taxon.annotations:
-                print "Taxon '%s': %s" % (taxon.label, a)
-    for tree_list in ds.tree_lists:
-        for a in tree_list.annotations:
-            print "Tree List '%s': %s" % (tree_list.label, a)
-        for tree in tree_list:
-            for a in tree.annotations:
-                print "Tree '%s': %s" % (tree.label, a)
-
-produces::
-
-    Data Set 'None': description="composite dataset of Pythonid sequences and trees"
-    Data Set 'None': subject="Pythonidae"
-    Taxon Set 'None': subject="Pythonidae"
-    Taxon 'Python regius': closeMatch="http://purl.uniprot.org/taxonomy/51751"
-    Taxon 'Python sebae': closeMatch="http://purl.uniprot.org/taxonomy/51752"
-    Taxon 'Python molurus': closeMatch="http://purl.uniprot.org/taxonomy/51750"
-    Taxon 'Python curtus': closeMatch="http://purl.uniprot.org/taxonomy/143436"
-    Taxon 'Morelia bredli': closeMatch="http://purl.uniprot.org/taxonomy/461327"
-    Taxon 'Morelia spilota': closeMatch="http://purl.uniprot.org/taxonomy/51896"
-    Taxon 'Morelia tracyae': closeMatch="http://purl.uniprot.org/taxonomy/129332"
-    Taxon 'Morelia clastolepis': closeMatch="http://purl.uniprot.org/taxonomy/129329"
-    Taxon 'Morelia kinghorni': closeMatch="http://purl.uniprot.org/taxonomy/129330"
-    Taxon 'Morelia nauta': closeMatch="http://purl.uniprot.org/taxonomy/129331"
-    Taxon 'Morelia amethistina': closeMatch="http://purl.uniprot.org/taxonomy/51895"
-    Taxon 'Morelia oenpelliensis': closeMatch="http://purl.uniprot.org/taxonomy/461329"
-    Taxon 'Antaresia maculosa': closeMatch="http://purl.uniprot.org/taxonomy/51891"
-    Taxon 'Antaresia perthensis': closeMatch="http://purl.uniprot.org/taxonomy/461324"
-    Taxon 'Antaresia stimsoni': closeMatch="http://purl.uniprot.org/taxonomy/461325"
-    Taxon 'Antaresia childreni': closeMatch="http://purl.uniprot.org/taxonomy/51888"
-    Taxon 'Morelia carinata': closeMatch="http://purl.uniprot.org/taxonomy/461328"
-    Taxon 'Morelia viridisN': closeMatch="http://purl.uniprot.org/taxonomy/129333"
-    Taxon 'Morelia viridisS': closeMatch="http://purl.uniprot.org/taxonomy/129333"
-    Taxon 'Apodora papuana': closeMatch="http://purl.uniprot.org/taxonomy/129310"
-    Taxon 'Liasis olivaceus': closeMatch="http://purl.uniprot.org/taxonomy/283338"
-    Taxon 'Liasis fuscus': closeMatch="http://purl.uniprot.org/taxonomy/129327"
-    Taxon 'Liasis mackloti': closeMatch="http://purl.uniprot.org/taxonomy/51889"
-    Taxon 'Antaresia melanocephalus': closeMatch="http://purl.uniprot.org/taxonomy/51883"
-    Taxon 'Antaresia ramsayi': closeMatch="http://purl.uniprot.org/taxonomy/461326"
-    Taxon 'Liasis albertisii': closeMatch="http://purl.uniprot.org/taxonomy/129326"
-    Taxon 'Bothrochilus boa': closeMatch="http://purl.uniprot.org/taxonomy/461341"
-    Taxon 'Morelia boeleni': closeMatch="http://purl.uniprot.org/taxonomy/129328"
-    Taxon 'Python timoriensis': closeMatch="http://purl.uniprot.org/taxonomy/51753"
-    Taxon 'Python reticulatus': closeMatch="http://purl.uniprot.org/taxonomy/37580"
-    Taxon 'Xenopeltis unicolor': closeMatch="http://purl.uniprot.org/taxonomy/196253"
-    Taxon 'Candoia aspera': closeMatch="http://purl.uniprot.org/taxonomy/51853"
-    Taxon 'Loxocemus bicolor': closeMatch="http://purl.uniprot.org/taxonomy/39078"
-    Tree '0': treeEstimator="RAxML"
-    Tree '0': substitutionModel="GTR+G+I"
-
-Metadata annotations in NEXUS and NEWICK must be given in the form of "hot comments" either in BEAST/FigTree syntax::
-
-    [&subject='Pythonidae']
-
-    [&length_hpd95={0.01917252,0.06241567},length_quant_5_95={0.02461821,0.06197141},length_range={0.01570374,0.07787249},length_mean=0.0418470252488,length_median=0.04091105,length_sd=0.0113086027131]
-
-or NHX-like syntax::
-
-    [&&subject='Pythonidae']
-
-    [&&length_hpd95={0.01917252,0.06241567},length_quant_5_95={0.02461821,0.06197141},length_range={0.01570374,0.07787249},length_mean=0.0418470252488,length_median=0.04091105,length_sd=0.0113086027131]
-
-However, by default these annotations are not parsed into |DendroPy| data model
-unless the keyword argument ``extract_comment_metadata=True`` is passed in to the call::
-
-    >>> ds = dendropy.DataSet.get_from_path("data.nex",
-    ... "nexus",
-    ... extract_comment_metadata=True)
-
-In general, support for metadata in NEXUS and NEWICK formats is very basic and lossy, and is limited to a small range of phylogenetic data types (taxa, trees, nodes, edges).
-These issues and limits are fundamental to the NEXUS and NEWICK formats, and thus if metadata is important to you and your work, you should be working with NeXML format.
-The NeXML format provides for rich, flexible and robust metadata annotation for the broad range of phylogenetic data, and |DendroPy| provides full support for metadata reading and writing in NeXML.
-
-
-Direct Composition with Literal Values
---------------------------------------
-
-The :meth:`~dendropy.datamodel.basemodel.AnnotationSet.add_new` method of the :attr:`annotations` attribute allows for direct adding of metadata. This method has two mandatory arguments, "``name``" and "``value``"::
-
-    >>> import dendropy
-    >>> tree = dendropy.Tree.get_from_path('pythonidae.mle.tree', 'nexus')
-    >>> tree = dendropy.Tree.get_from_path('examples/pythonidae.mle.nex', 'nexus')
-    >>> tree.annotations.add_new(
-    ... name="subject",
-    ... value="Python phylogenetics",
-    ... )
-
-When printing the tree in NeXML, the metadata will be rendered as a "``<meta>``" tag child element of the associated "``<tree>``" element::
-
-    <nex:nexml
-        version="0.9"
-        xsi:schemaLocation="http://www.nexml.org/2009"
-        xmlns:dendropy="http://packages.python.org/DendroPy/"
-        xmlns="http://www.nexml.org/2009"
-        xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"
-        xmlns:xml="http://www.w3.org/XML/1998/namespace"
-        xmlns:nex="http://www.nexml.org/2009"
-    >
-    .
-    .
-    .
-        <trees id="x4320340992" otus="x4320340552">
-            <tree id="x4320381904" label="0" xsi:type="nex:FloatTree">
-                <meta xsi:type="nex:LiteralMeta" property="dendropy:subject" content="Python phylogenetics" id="meta4320379536" />
-    .
-    .
-    .
-
-As can be seen, by default, the metadata property is mapped to the "``dendropy``" namespace (i.e., '``xmlns:dendropy="http://packages.python.org/DendroPy/"``').
-This can be customized by using the "``name_prefix``" and "``namespace``" arguments to the call to :meth:`~dendropy.datamodel.basemodel.AnnotationSet.add_new`::
-
-    >>> tree.annotations.add_new(
-    ... name="subject",
-    ... value="Python phylogenetics",
-    ... name_prefix="dc",
-    ... namespace="http://purl.org/dc/elements/1.1/",
-    ... )
-
-This will result in the following NeXML fragment::
-
-    <nex:nexml
-        version="0.9"
-        xsi:schemaLocation="http://www.nexml.org/2009"
-        xmlns:dc="http://purl.org/dc/elements/1.1/"
-        xmlns="http://www.nexml.org/2009"
-        xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"
-        xmlns:xml="http://www.w3.org/XML/1998/namespace"
-        xmlns:nex="http://www.nexml.org/2009"
-        xmlns:dendropy="http://packages.python.org/DendroPy/"
-    >
-    .
-    .
-    .
-        <trees id="x4320340904" otus="x4320340464">
-            <tree id="x4320377872" label="0" xsi:type="nex:FloatTree">
-                <meta xsi:type="nex:LiteralMeta" property="dc:subject" content="Python phylogenetics" id="meta4320375440" />
-    .
-    .
-    .
-
-Note that the "``name_prefix``" or "``namespace``" must be specified simultaneously; that is, if one is specified, then the other must be specified as well.
-For convenience, you can specify the name of the annotation with the name prefix prepended by specifying "``name_is_prefixed=True``", though the namespace must still be provided separately::
-
-    >>> tree.annotations.add_new(
-    ... name="dc:subject",
-    ... value="Python phylogenetics",
-    ... name_is_prefixed=True,
-    ... namespace="http://purl.org/dc/elements/1.1/",
-    ... )
-
-For NeXML output, you can also specify a datatype::
-
-
-    >>> tree.annotations.add_new(
-    ... name="subject",
-    ... value="Python phylogenetics",
-    ... datatype_hint="xsd:string",
-    ... )
-    >>> tree.annotations.add_new(
-    ... name="answer",
-    ... value=42,
-    ... datatype_hint="xsd:integer",
-    ... )
-
-When writing to NeXML, this will result in the following fragment::
-
-    <trees id="x4320340992" otus="x4320340552">
-        <tree id="x4320381968" label="0" xsi:type="nex:FloatTree">
-            <meta xsi:type="nex:LiteralMeta" property="dendropy:answer" content="42" datatype="xsd:integer" id="meta4320379536" />
-            <meta xsi:type="nex:LiteralMeta" property="dendropy:subject" content="Python phylogenetics" datatype="xsd:string" id="meta4320379472" />
-
-You can also specify that the data should be interpreted as a source to be dereferenced in NeXML by passing in ``annotate_as_reference=True``.
-Note that this does not actually populate the contents of the annotation from the source (unlike the dynamic attribute value binding discussed below), but just indicates the the contents of the annotation should be *interpreted* differently by semantic readers.
-Thus, the following annotation::
-
-    >>> tree.annotations.add_new(
-    ... name="subject",
-    ... value="http://en.wikipedia.org/wiki/Pythonidae",
-    ... name_prefix="dc",
-    ... namespace="http://purl.org/dc/elements/1.1/",
-    ... annotate_as_reference=True,
-    ... )
-
-will be rendered in NeXML as::
-
-    <meta xsi:type="nex:ResourceMeta" rel="dc:subject" href="http://en.wikipedia.org/wiki/Pythonidae" />
-
-Sometimes, you may want to annotate an object with metadata, but do not want it to be printed or written out.
-Passing the ``is_hidden=True`` argument will result in the annotation being suppressed in all output::
-
-    >>> tree.annotations.add_new(
-    ... name="subject",
-    ... value="Python phylogenetics",
-    ... name_prefix="dc",
-    ... namespace="http://purl.org/dc/elements/1.1/",
-    ... is_hidden=True,
-    ... )
-
-The ``is_hidden`` attribute of the an :class:`~dendropy.datamodel.basemodel.Annotation` object can also be set directly::
-
-    >>> subject_annotations = tree.annotations.findall(name="citation")
-    >>> for a in subject_annotations:
-    ...    a.is_hidden = True
-
-Dynamically Binding Annotation Values to Object Attribute Values
-----------------------------------------------------------------
-
-In some cases, instead of "hard-wiring" in metadata for an object, you may want to write out metadata that takes its value from the value of an attribute of the object.
-The :meth:`~dendropy.datamodel.basemodel.AnnotationSet.add_bound_attribute` method allows you to do this.
-This method takes, as a minimum, a *string* specifying the *name* of an existing attribute to which the value of the annotation will be dynamically bound.
-
-For example:
-
-.. literalinclude:: /examples/dynamic_annotations1.py
-
-results in::
-
-    <?xml version="1.0" encoding="ISO-8859-1"?>
-    <nex:nexml
-        version="0.9"
-        xsi:schemaLocation="http://www.nexml.org/2009"
-        xmlns:dendropy="http://packages.python.org/DendroPy/"
-        xmlns="http://www.nexml.org/2009"
-        xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"
-        xmlns:xml="http://www.w3.org/XML/1998/namespace"
-        xmlns:nex="http://www.nexml.org/2009"
-    >
-        <otus id="x4320344648">
-            <otu id="x4320380112" label="A">
-                <meta xsi:type="nex:LiteralMeta" property="dendropy:category" content="tiny" id="meta4320379472" />
-            </otu>
-            <otu id="x4320380432" label="B">
-                <meta xsi:type="nex:LiteralMeta" property="dendropy:category" content="medium" id="meta4320379536" />
-            </otu>
-            <otu id="x4320380752" label="C">
-                <meta xsi:type="nex:LiteralMeta" property="dendropy:category" content="N/A" id="meta4320379792" />
-            </otu>
-            <otu id="x4320381072" label="D">
-                <meta xsi:type="nex:LiteralMeta" property="dendropy:category" content="tiny" id="meta4320381328" />
-            </otu>
-            <otu id="x4320381264" label="E">
-                <meta xsi:type="nex:LiteralMeta" property="dendropy:category" content="tiny" id="meta4320381392" />
-            </otu>
-        </otus>
-        <trees id="x4320344560" otus="x4320344648">
-            <tree id="x4320379600" xsi:type="nex:FloatTree">
-                <node id="x4320379856">
-                    <meta xsi:type="nex:LiteralMeta" property="dendropy:pop_size" content="5491" id="meta4320379280" />
-                </node>
-                <node id="x4320379984" otu="x4320380112">
-                    <meta xsi:type="nex:LiteralMeta" property="dendropy:pop_size" content="2721" id="meta4320379408" />
-                </node>
-                <node id="x4320380176">
-                    <meta xsi:type="nex:LiteralMeta" property="dendropy:pop_size" content="4627" id="meta4320379344" />
-                </node>
-                <node id="x4320380304" otu="x4320380432">
-                    <meta xsi:type="nex:LiteralMeta" property="dendropy:pop_size" content="7202" id="meta4320381456" />
-                </node>
-                <node id="x4320380496">
-                    <meta xsi:type="nex:LiteralMeta" property="dendropy:pop_size" content="5337" id="meta4320379664" />
-                </node>
-                <node id="x4320380624" otu="x4320380752">
-                    <meta xsi:type="nex:LiteralMeta" property="dendropy:pop_size" content="1478" id="meta4320381520" />
-                </node>
-                <node id="x4320380816">
-                    <meta xsi:type="nex:LiteralMeta" property="dendropy:pop_size" content="1539" id="meta4320379728" />
-                </node>
-                <node id="x4320380944" otu="x4320381072">
-                    <meta xsi:type="nex:LiteralMeta" property="dendropy:pop_size" content="3457" id="meta4320381584" />
-                </node>
-                <node id="x4320381136" otu="x4320381264">
-                    <meta xsi:type="nex:LiteralMeta" property="dendropy:pop_size" content="3895" id="meta4320381648" />
-                </node>
-                <rootedge id="x4320379920" target="x4320379856" />
-                <edge id="x4320380048" source="x4320379856" target="x4320379984" />
-                <edge id="x4320380240" source="x4320379856" target="x4320380176" />
-                <edge id="x4320380368" source="x4320380176" target="x4320380304" />
-                <edge id="x4320380560" source="x4320380176" target="x4320380496" />
-                <edge id="x4320380688" source="x4320380496" target="x4320380624" />
-                <edge id="x4320380880" source="x4320380496" target="x4320380816" />
-                <edge id="x4320381008" source="x4320380816" target="x4320380944" />
-                <edge id="x4320381200" source="x4320380816" target="x4320381136" />
-            </tree>
-        </trees>
-    </nex:nexml>
-
-
-By default, the :meth:`~dendropy.datamodel.basemodel.AnnotationSet.add_bound_attribute` method uses the name of the attribute as the name of the annotation.
-The "``annotation_name``" argument allows you explictly set the name of the annotation.
-In addition, the method call also supports the other customization arguments of the :meth:`~dendropy.datamodel.basemodel.AnnotationSet.add_new` method: "``datatype_hint``", "``name_prefix``", "``namespace``", "``name_is_prefixed``", "``annotate_as_reference``", "``is_hidden``", etc.::
-
-    >>> tree.source_uri = None
-    >>> tree.annotations.add_bound_attribute(
-    ... "source_uri",
-    ... annotation_name="dc:subject",
-    ... namespace="http://purl.org/dc/elements/1.1/",
-    ... annotate_as_reference=True)
-
-Adding Citation Metadata
-------------------------
-
-You can add citation annotations using the :meth:`~dendropy.datamodel.basemodel.AnnotationSet.add_citation` method.
-This method takes at least one argument, ``citation``.
-This can be a string representing the citation as a BibTex record or a dictionary with BibTex fields as keys and field content as values.
-
-For example:
-
-.. literalinclude:: /examples/bibtex_annotations1.py
-
-will result in::
-
-    <?xml version="1.0" encoding="ISO-8859-1"?>
-    <nex:nexml
-        version="0.9"
-        xsi:schemaLocation="http://www.nexml.org/2009"
-        xmlns:bibtex="http://www.edutella.org/bibtex#"
-        xmlns="http://www.nexml.org/2009"
-        xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"
-        xmlns:xml="http://www.w3.org/XML/1998/namespace"
-        xmlns:nex="http://www.nexml.org/2009"
-        xmlns:dendropy="http://packages.python.org/DendroPy/"
-    >
-        <meta xsi:type="nex:LiteralMeta" property="bibtex:journal" content="Molecular Biology and Evolution" datatype="xsd:string" id="meta4320453648" />
-        <meta xsi:type="nex:LiteralMeta" property="bibtex:bibtype" content="article" datatype="xsd:string" id="meta4320453200" />
-        <meta xsi:type="nex:LiteralMeta" property="bibtex:number" content="3" datatype="xsd:string" id="meta4320453776" />
-        <meta xsi:type="nex:LiteralMeta" property="bibtex:citekey" content="HeathHH2012" datatype="xsd:string" id="meta4320453328" />
-        <meta xsi:type="nex:LiteralMeta" property="bibtex:pages" content="939-955" datatype="xsd:string" id="meta4320453968" />
-        <meta xsi:type="nex:LiteralMeta" property="bibtex:volume" content="29" datatype="xsd:string" id="meta4320453840" />
-        <meta xsi:type="nex:LiteralMeta" property="bibtex:year" content="2012" datatype="xsd:string" id="meta4320453904" />
-        <meta xsi:type="nex:LiteralMeta" property="bibtex:doi" content="10.1093/molbev/msr255" datatype="xsd:string" id="meta4320453456" />
-        <meta xsi:type="nex:LiteralMeta" property="bibtex:title" content="A {Dirichlet} Process Prior for Estimating Lineage-Specific Substitution Rates." datatype="xsd:string" id="meta4320453520" />
-        <meta xsi:type="nex:LiteralMeta" property="bibtex:url" content="http://mbe.oxfordjournals.org/content/early/2011/11/04/molbev.msr255.abstract" datatype="xsd:string" id="meta4320453584" />
-        <meta xsi:type="nex:LiteralMeta" property="bibtex:author" content="Tracy A. Heath and Mark T. Holder and John P. Huelsenbeck" datatype="xsd:string" id="meta4320453712" />
-        .
-        .
-        .
-
-
-The following results in the same output as above, but the citation is given as a dictionary with BibTex fields as keys and content as values:
-
-.. literalinclude:: /examples/bibtex_annotations2.py
-
-By default, the citation gets annotated as a series of separate BibTex elements.
-You can specify alternate formats by using the "``store_as``" argument.
-This argument can take one of the following values:
-
-    - "``bibtex``"
-        Each BibTex field gets recorded as a separate annotation, with name
-        given by the field name, content by the field value.
-        This is the default, and the results in NeXML are shown above.
-
-    - "``dublin``"
-        A subset of the BibTex fields gets recorded as a set of Dublin Core (Publishing Requirements for Industry Standard Metadata) annotations, one per field::
-
-        <meta xsi:type="nex:LiteralMeta" property="dc:date" content="2012" datatype="xsd:string" id="meta4320461584" />
-        <meta xsi:type="nex:LiteralMeta" property="dc:publisher" content="Molecular Biology and Evolution" datatype="xsd:string" id="meta4320461648" />
-        <meta xsi:type="nex:LiteralMeta" property="dc:title" content="A {Dirichlet} Process Prior for Estimating Lineage-Specific Substitution Rates." datatype="xsd:string" id="meta4320461776" />
-        <meta xsi:type="nex:LiteralMeta" property="dc:creator" content="Tracy A. Heath and Mark T. Holder and John P. Huelsenbeck" datatype="xsd:string" id="meta4320461712" />
-
-    - "``prism``"
-        A subset of the BibTex fields gets recorded as a set of PRISM (Publishing Requirements for Industry Standard Metadata) annotations, one per field::
-
-        <meta xsi:type="nex:LiteralMeta" property="prism:volume" content="29" datatype="xsd:string" id="meta4320461584" />
-        <meta xsi:type="nex:LiteralMeta" property="prism:pageRange" content="939-955" datatype="xsd:string" id="meta4320461648" />
-        <meta xsi:type="nex:LiteralMeta" property="prism:publicationDate" content="2012" datatype="xsd:string" id="meta4320461776" />
-        <meta xsi:type="nex:LiteralMeta" property="prism:publicationName" content="Molecular Biology and Evolution" datatype="xsd:string" id="meta4320461712" />
-
-
-In addition, the method call also supports some of the other customization arguments of the :meth:`~dendropy.datamodel.basemodel.AnnotationSet.add_new` method:  "``name_prefix``", "``namespace``", "``name_is_prefixed``", "``is_hidden``".
-
-Copying Metadata Annotations from One Phylogenetic Data Object to Another
--------------------------------------------------------------------------
-
-As the :class:`~dendropy.datamodel.basemodel.AnnotationSet` is derived from :class:`dendropy.utility.containers.OrderedSet`, it has the :meth:`dendropy.utility.containers.OrderedSet.add` and :meth:`dendropy.utility.containers.OrderedSet.update` methods available for direct addition of :class:`~dendropy.datamodel.basemodel.Annotation` objects.
-The following example shows how to add metadata annotations associated with a |DataSet| object to all its |Tree| objects::
-
-    import dendropy
-    ds = dendropy.DataSet.get_from_path("sample1.xml",
-            "nexml")
-    ds_annotes = ds.annotations.findall(name_prefix="dc").values_as_dict()
-    for tree_list in ds.tree_lists:
-        for tree in tree_list:
-            tree.annotations.update(ds_annotes)
-
-Or, alternatively::
-
-    import dendropy
-    ds = dendropy.DataSet.get_from_path("sample1.xml",
-            "nexml")
-    ds_annotes = ds.annotations.findall(name_prefix="dc").values_as_dict()
-    for tree_list in ds.tree_lists:
-        for tree in tree_list:
-            for a in ds_annotes:
-                tree.annotations.add(a)
-
-
-Metadata Annotation Access and Manipulation
-===========================================
-
-Iterating Over Collections of Annotations
------------------------------------------
-
-The collection of :class:`~dendropy.datamodel.basemodel.Annotation` objects representing metadata annotations associated with particular phylgoenetic data objects can be accessed through the :attr:`annotations` attribute of each particular object.
-
-For example::
-
-    #! /usr/bin/env python
-    ds = dendropy.DataSet.get_from_path("pythonidae.annotated.nexml",
-    "nexml")
-    for a in ds.annotations:
-        print "The dataset has metadata annotation '%s' with content '%s'" % (a.name, a.value)
-    tree = ds.tree_lists[0][0]
-    for a in tree.annotations:
-        print "Tree '%s' has metadata annotation '%s' with content '%s'" % (tree.label, a.name, a.value)
-
-will result in::
-
-    The dataset has metadata annotation 'description' with content 'composite dataset of Pythonid sequences and trees'
-    The dataset has metadata annotation 'subject' with content 'Pythonidae'
-    Tree '0' has metadata annotation 'treeEstimator' with content 'RAxML'
-    Tree '0' has metadata annotation 'substitutionModel' with content 'GTR+G+I'
-
-Retrieving Annotations By Search Criteria
------------------------------------------
-
-Instead of interating through every element in the :attr:`annotations` attribute of data objects, you can use the :meth:`~dendropy.datamodel.basemodel.AnnotationSet.findall` method of the the :attr:`annotations` object to return a *collection* of :class:`~dendropy.datamodel.basemodel.Annotation` objects that match the search or filter criteria specified in keyword arguments to the :meth:`~dendropy.datamodel.basemodel.AnnotationSet.findall` call.
-These keyword arguments should specify attributes of :class:`~dendropy.datamodel.basemodel.Annotation` and the corresponding value to be matched.
-Multiple keyword-value pairs can be specified, and only :class:`~dendropy.datamodel.basemodel.Annotation` objects that match *all* the criteria will be returned.
-
-For example, the following returns a collection of annotations that have a name of "contributor"::
-
-    import dendropy
-    ds = dendropy.DataSet.get_from_path("sample1.xml",
-            "nexml")
-    results = ds.annotations.findall(name="contributor")
-    for a in results:
-        print "%s='%s'" % (a.name, a.value)
-
-and will result in::
-
-    contributor='Dahlgren T.G.'
-    contributor='Baco A.'
-    contributor='Smith C.'
-    contributor='Glover A.'
-    contributor='Altamira I.V.'
-    contributor='Wiklund H.'
-
-While the following returns a collection of annotations that are in the Dublin Core namespace::
-
-    import dendropy
-    ds = dendropy.DataSet.get_from_path("sample1.xml",
-            "nexml")
-    results = ds.annotations.findall(namespace="http://purl.org/dc/elements/1.1/")
-    for a in results:
-        print "%s='%s'" % (a.name, a.value)
-
-and results in::
-
-    subject='wood-fall'
-    contributor='Wiklund H.'
-    publisher='Systematics and Biodiversity'
-    subject='whale-fall'
-    contributor='Dahlgren T.G.'
-    contributor='Smith C.'
-    date='2012-06-04'
-    subject='polychaeta'
-    contributor='Glover A.'
-    subject='Ophryotrocha'
-    title='Systematics and biodiversity of Ophryotrocha (Annelida, Dorvilleidae) with descriptions of six new species from deep-sea whale-fall and wood-fall habitats in the north-east Pacific'
-    subject='New species'
-    subject='molecular phylogeny'
-    contributor='Altamira I.V.'
-    creator='Wiklund H., Altamira I.V., Glover A., Smith C., Baco A., & Dahlgren T.G.'
-    contributor='Baco A.'
-
-The following, in turn, searches for and suppresses printing of annotations that have a name prefix of "dc" *and* have empty values::
-
-    import dendropy
-    ds = dendropy.DataSet.get_from_path("sample1.xml",
-            "nexml")
-    results = ds.annotations.findall(name_prefix="dc", value="")
-    for a in results:
-        a.is_hidden = True
-
-Modifying the :class:`~dendropy.datamodel.basemodel.Annotation` objects in a returned collection modifies the metadata of the parent data object. For example, the following sets all the field values to upper case characters::
-
-    import dendropy
-    ds = dendropy.DataSet.get_from_path("sample1.xml",
-            "nexml")
-    results = ds.annotations.findall(name="contributor")
-    for a in results:
-        a.value = a.value.upper()
-    results = ds.annotations.findall(name="contributor")
-    for a in results:
-        print a.value
-
-and results in::
-
-    DAHLGREN T.G.
-    BACO A.
-    SMITH C.
-    GLOVER A.
-    ALTAMIRA I.V.
-    WIKLUND H.
-
-The collection returned by the :meth:`~dendropy.datamodel.basemodel.AnnotationSet.findall` method is an object of type :class:`~dendropy.datamodel.basemodel.AnnotationSet`.
-However, while modifying :class:`~dendropy.datamodel.basemodel.Annotation` objects in this collection will result in the metadata of the parent object being modified (as in the previous example), adding new annotations to this returned collection will *not*  add them to the collection of metadata annotations of the parent object.
-Thus, the following example shows that the size of the annotations collection associated with the dataset is unchanged by adding new annotations to the results of a :meth:`~dendropy.datamodel.basemodel.AnnotationSet.findall` call::
-
-    import dendropy
-    ds = dendropy.DataSet.get_from_path("sample1.xml",
-            "nexml")
-    print len(ds.annotations)
-    results = ds.annotations.findall(namespace="http://purl.org/dc/elements/1.1/")
-    results.add_new(name="color", value="blue")
-    results.add_new(name="height", value="100")
-    results.add_new(name="length", value="200")
-    results.add_new(name="width", value="50")
-    print len(ds.annotations)
-
-The above produces::
-
-    30
-    30
-
-As can be seen, no new annotations are added to the data set metadata.
-
-If no matching :class:`~dendropy.datamodel.basemodel.Annotation` objects are found then the :class:`~dendropy.datamodel.basemodel.AnnotationSet` that is returned is empty.
-
-If *no* keyword arguments are passed to :meth:`~dendropy.datamodel.basemodel.Annotation.findall`, then *all* annotations are returned::
-
-    import dendropy
-    ds = dendropy.DataSet.get_from_path("sample1.xml",
-            "nexml")
-    results = ds.annotations.findall()
-    print len(results) == len(ds.annotations)
-
-The above produces::
-
-    True
-
-Retrieving a Single Annotation By Search Criteria
--------------------------------------------------
-
-The :meth:`~dendropy.datamodel.basemodel.AnnotationSet.find` method of the the :attr:`annotations` object return a the *first* :class:`~dendropy.datamodel.basemodel.Annotation` object that matches the search or filter criteria specified in keyword arguments to the :meth:`~dendropy.datamodel.basemodel.AnnotationSet.findall` call.
-These keyword arguments should specify attributes of :class:`~dendropy.datamodel.basemodel.Annotation` and the corresponding value to be matched.
-Multiple keyword-value pairs can be specified, and only the first :class:`~dendropy.datamodel.basemodel.Annotation` object that matches *all* the criteria will be returned.
-
-For example::
-
-    import dendropy
-    ds = dendropy.DataSet.get_from_path("sample1.xml",
-            "nexml")
-    print ds.annotations.find(name="contributor")
-
-and will result in::
-
-    contributor='Dahlgren T.G.'
-
-While the following returns the first annotation in the Dublin Core namespace::
-
-    import dendropy
-    ds = dendropy.DataSet.get_from_path("sample1.xml",
-            "nexml")
-    print ds.annotations.find(namespace="http://purl.org/dc/elements/1.1/")
-
-and results in::
-
-    subject='wood-fall'
-
-If no matching :class:`~dendropy.datamodel.basemodel.Annotation` objects are found then a default of |None| is returned::
-
-    >>> print ds.annotations.find(name="author")
-    None
-
-Unlike :meth:`~dendropy.datamodel.basemodel.AnnotationSet.findall`, it is invalid to call :meth:`~dendropy.datamodel.basemodel.AnnotationSet.find` with no search criteria keyword arguments, and an ``TypeError`` exception will be raised.
-
-Retrieving the Value of a Single Annotation
--------------------------------------------
-
-For convenience, the :meth:`~dendropy.datamodel.basemodel.AnnotationSet.get_value`, method is provided.
-This will search the :class:`~dendropy.datamodel.basemodel.AnnotationSet` for the *first* :class:`~dendropy.datamodel.basemodel.Annotation` that has its name field equal to the first argument passed to the :meth:`~dendropy.datamodel.basemodel.AnnotationSet.get_value` method, and return its value.
-If no match is found, the second argument is returned (or |None|, if no second argument is specified).
-Examples::
-
-    >>> print tree.annotations.get_value("subject")
-    molecular phylogeny
-    >>> print tree.annotations.get_value("creator")
-    Yoder A.D., & Yang Z.
-    >>> print tree.annotations.get_value("generator")
-    None
-    >>> print tree.annotations.get_value("generator", "unspecified")
-    unspecified
-
-Transforming Annotations to a Dictionary
-----------------------------------------
-
-In some applications, it might be more convenient to work with dictionaries rather than :class:`~dendropy.datamodel.basemodel.AnnotationSet` objects.
-The :meth:`~dendropy.datamodel.basemodel.Annotation.values_as_dict` methods creates a dictionary populated with key-value pairs from the collection.
-By default, the keys are the ``name`` attribute of the :class:`~dendropy.datamodel.basemodel.Annotation` object and the values are the ``value`` attribute.
-Thus, the following::
-
-    import dendropy
-    ds = dendropy.DataSet.get_from_path("sample1.xml",
-            "nexml")
-    a = ds.annotations.values_as_dict()
-    print a
-
-results in::
-
-    {'volume': '',
-    'doi': '',
-    'date': '2012-06-04',
-    'bibliographicCitation': 'Wiklund H., Altamira I.V., Glover A., Smith C., Baco A., & Dahlgren T.G. 2012. Systematics and biodiversity of Ophryotrocha (Annelida, Dorvilleidae) with descriptions of six new species from deep-sea whale-fall and wood-fall habitats in the north-east Pacific. Systematics and Biodiversity, .',
-    'changeNote': 'Generated on Wed Jun 06 11:02:45 EDT 2012',
-    'creator': 'Wiklund H., Altamira I.V., Glover A., Smith C., Baco A., & Dahlgren T.G.',
-    'section': 'Study',
-    'title': 'Systematics and biodiversity of Ophryotrocha (Annelida, Dorvilleidae) with descriptions of six new species from deep-sea whale-fall and wood-fall habitats in the north-east Pacific',
-    'publisher': 'Systematics and Biodiversity',
-    'identifier.study.tb1': None,
-    'number': '',
-    'identifier.study': '12713',
-    'modificationDate': '2012-06-04',
-    'historyNote': 'Mapped from TreeBASE schema using org.cipres.treebase.domain.nexus.nexml.NexmlDocumentWriter at 645f9132 $Rev: 1060 $',
-    'publicationDate': '2012',
-    'contributor': 'Wiklund H.',
-    'publicationName': 'Systematics and Biodiversity',
-    'creationDate': '2012-05-09',
-    'title.study': 'Systematics and biodiversity of Ophryotrocha (Annelida, Dorvilleidae) with descriptions of six new species from deep-sea whale-fall and wood-fall habitats in the north-east Pacific',
-    'subject': 'molecular phylogeny'}
-
-Note that no attempt is made to prevent or account for key collision: :class:`~dendropy.datamodel.basemodel.Annotation` with the same name value will overwrite each other in the dictionary.
-Custom control of the dictionary key/value generation can be specified via keyword arguments:
-
-    ``key_attr``
-        String specifying an Annotation object attribute name to be used
-        as keys for the dictionary.
-
-    ``key_func``
-        Function that takes an Annotation object as an argument and returns
-        the value to be used as a key for the dictionary.
-
-    ``value_attr``
-        String specifying an Annotation object attribute name to be used
-        as values for the dictionary.
-
-    ``value_func``
-        Function that takes an Annotation object as an argument and returns
-        the value to be used as a value for the dictionary.
-
-For example::
-
-    import dendropy
-    ds = dendropy.DataSet.get_from_path("sample1.xml",
-            "nexml")
-    a = ds.annotations.values_as_dict(key_attr="prefixed_name")
-    a = ds.annotations.values_as_dict(key_attr="prefixed_name", value_attr="namespace")
-    a = ds.annotations.values_as_dict(key_func=lambda a: a.namespace + a.name)
-    a = ds.annotations.values_as_dict(key_func=lambda a: a.namespace + a.name,
-            value_attr="value")
-
-
-As the collection returned by the :meth:`~dendropy.datamodel.basemodel.AnnotationSet.findall` method is an object of type :class:`~dendropy.datamodel.basemodel.AnnotationSet`, this can also be transformed to a dictionary.
-For example::
-
-    import dendropy
-    ds = dendropy.DataSet.get_from_path("sample1.xml",
-            "nexml")
-    a = ds.annotations.findall(name_prefix="dc").values_as_dict()
-    print a
-
-will result in::
-
-    {'publisher': 'Systematics and Biodiversity',
-    'creator': 'Wiklund H., Altamira I.V., Glover A., Smith C., Baco A., & Dahlgren T.G.',
-    'title': 'Systematics and biodiversity of Ophryotrocha (Annelida, Dorvilleidae) with descriptions of six new species from deep-sea whale-fall and wood-fall habitats in the north-east Pacific',
-    'date': '2012-06-04',
-    'contributor': 'Baco A.',
-    'subject': 'molecular phylogeny'}
-
-Note how only one entry for "contributor" is present: the others were overwritten/replaced.
-
-Adding to, deleting, or modifying either the keys or the values of the dictionary returned by :meth:`~dendropy.datamodel.basemodel.Annotation.values_as_dict` in *no way* changes any of the original metadata: it is serves as snapshot copy of literal values of the metadata.
-
-
-Deleting or Removing Metadata Annotations
------------------------------------------
-
-The :meth:`~dendropy.datamodel.basemodel.AnnotationSet.drop` method of :class:`~dendropy.datamodel.basemodel.AnnotationSet` objects takes search criteria similar to :meth:`~dendropy.datamodel.basemodel.AnnotationSet.findall`, but instead of returning the matched  :class:`~dendropy.datamodel.basemodel.Annotation` objects, it *removes* them from the parent collection.
-For example, the following removes all metadata annotations with the name prefix "dc" from the |DataSet| object ``ds``::
-
-    import dendropy
-    ds = dendropy.DataSet.get_from_path("sample1.xml",
-            "nexml")
-    print "Original: %d items" % len(ds.annotations)
-    removed = ds.annotations.drop(name_prefix="dc")
-    print "Removed: %d items" % len(removed)
-    print "Current: %d items" % len(ds.annotations)
-
-and results in::
-
-    Original: 30 items
-    Removed: 16 items
-    Current: 14 items
-
-As can be seen, the :meth:`~dendropy.datamodel.basemodel.AnnotationSet.drop` method returns the individual :class:`~dendropy.datamodel.basemodel.Annotation` removed as a new :class:`~dendropy.datamodel.basemodel.AnnotationSet` collection.
-This is useful if you still want to use the removed :class:`~dendropy.datamodel.basemodel.Annotation` objects elsewhere.
-
-As with the :meth:`~dendropy.datamodel.basemodel.AnnotationSet.findall` method, multiple keyword criteria can be specified::
-
-    import dendropy
-    ds = dendropy.DataSet.get_from_path("sample1.xml",
-            "nexml")
-    ds.annotations.drop(name_prefix="dc", name="contributor")
-
-In addition, again similar in behavior to the :meth:`~dendropy.datamodel.basemodel.AnnotationSet.findall` method, *no* keyword arguments result in *all* the annotations being removed.
-Thus, the following results in all metadata annotations being deleted from the |DataSet| object ``ds``::
-
-    import dendropy
-    ds = dendropy.DataSet.get_from_path("sample1.xml",
-        "nexml")
-    print "Original: %d items" % len(ds.annotations)
-    removed = ds.annotations.drop()
-    print "Removed: %d items" % len(removed)
-    print "Current: %d items" % len(ds.annotations)
-
-and results in::
-
-    Original: 30 items
-    Removed: 30 items
-    Current: 0 items
-
-Writing or Saving Metadata
-==========================
-
-When writing to NeXML format, all metadata annotations are preserved and can be fully round-tripped.
-Currently, this is the only data format that allows for robust treatment of metadata.
-
-Due to the fundamental limitations of the NEXUS/Newick format, metadata handling in this format is limited and rather idiosyncratic.
-Currently, metadata will be written out as name-value pairs (separated by "=") in ampersand-prepended comments associated with the particular phylogenetic data object.
-This syntax corresponds to the BEAST or FigTree style of metadata annotation.
-However, this association might not be preserved.
-For example, metadata annotations associated with edges and nodes of trees will be written out fully in NEXUS and NEWICK formats, but when read in again will all be associated with nodes.
-The keyword argument ``annotations_as_nhx=True`` passed to the call to write the data in NEXUS/NEWICK format will result in a double ampersand prefix to the comment, thus (partially) conforming to NHX specifications.
-Metadata associated with |DataSet| objects will be written in out in the same BEAST/FigTree/NHX syntax at the top of the file, while metadata associated with |TaxonNamespace| and |Taxon| objects will be written out immediately after the start of the Taxa Block and taxon labels respectively.
-This is very fragile: for example, a metadata annotation *before* a taxon label will be associated with the *previous* taxon when being read in again.
-As noted above, if metadata annotations are important for yourself, your workflow, or your task, then the NeXML format should be used rather than NEXUS or NEWICK.
-
diff --git a/doc/source/programs/index.rst b/doc/source/programs/index.rst
deleted file mode 100644
index 2369954..0000000
--- a/doc/source/programs/index.rst
+++ /dev/null
@@ -1,8 +0,0 @@
-#########################
-Programs and Applications
-#########################
-
-.. toctree::
-    :maxdepth: 4
-
-    sumtrees
diff --git a/doc/source/programs/sumtrees.rst b/doc/source/programs/sumtrees.rst
deleted file mode 100644
index 4209b6f..0000000
--- a/doc/source/programs/sumtrees.rst
+++ /dev/null
@@ -1,567 +0,0 @@
-########################################################
-SumTrees: Phylogenetic Tree Summarization and Annotation
-########################################################
-
-Introduction
-============
-
-`SumTrees <sumtrees.html>`_ is a program by |js|_ and |mth|_ to summarize non-parameteric bootstrap or Bayesian posterior probability support for splits or clades on phylogenetic trees.
-
-The basis of the support assessment is typically given by a set of non-parametric bootstrap replicate tree samples produced by programs such as GARLI or RAxML, or by a set of MCMC tree samples produced by programs such as Mr. Bayes or BEAST.
-The proportion of trees out of the samples in which a particular split is found is taken to be the degree of support for that split as indicated by the samples.
-The samples that are the basis of the support can be distributed across multiple files, and a burn-in option allows for an initial number of trees in each file to be excluded from the analysis if they are not considered to be drawn from the true support distribution.
-
-The support for the splits will be mapped onto one or more target trees either in terms of node labels or branch lengths.
-The target trees can be supplied by yourself, or, if no target trees are given, then a
-a *summary* tree can be constructed.
-This summary tree can be a Maximum Clade Credibility Topology (i.e., MCCT, a topology that maximizes the product of the the clade posterior probabilities), the majority-rule clade consensus tree, or some other type.
-If a majority-rule consensus tree is selected, you have the option of specifying the minimum posterior probability or proportional frequency threshold for a clade to be included on the consensus tree.
-
-By default SumTrees will provide summaries of edge lengths (i.e., mean, median, standard deviation, range, 95% HPD, 5% and 95% quantiles, etc.) as special node comments. These can be visualized in `FigTree <http://tree.bio.ed.ac.uk/software/figtree/>`_ by, for example, checking "Node Labels", then selecting one of "length_mean", "length_median", "length_sd", "length_hpd95", etc.
-If the trees are ultrametric and the "``--summarize-node-ages``" flag is used, or edge lengths are set so that node ages on the output trees correspond to be mean or median of the node ages of the input trees ("``--edges=mean-age``" or "``--edges=median-age``"), then node ages will be summarized as well. In all cases, the flag "``--suppress-annotations``" will suppress calculation and output of these summaries.
-
-If you are processing multiple source files and you have multiple cores available on your machine, you can specify the "``-M``" flag to use all the cores or, e.g., "``-m 4``" to use 4 cores.
-Using multiple cores will, of course, speed up processing of your files.
-
-Where to Find the Package
-=========================
-
-SumTrees is distributed and installed as part of the |DendroPy|_ phylogenetic computing library, which has its homepage here:
-
-        |dendropy_homepage_url|
-
-with the main download page here:
-
-        |dendropy_download_url|
-
-How to Install the Package
-==========================
-
-DendroPy is fully easy-installable and can be installed using |pip|_::
-
-    $ sudo pip install -U dendropy
-
-If you do not have |pip|_ installed, you should *definitely* `install it <https://pip.pypa.io/en/latest/installing.html>`_ !
-Note: the "``sudo``" command should only be used if installing system-wide on a machine on which you have administrative privileges. Otherwise, you would use the "``--user``" flag for a local user install::
-
-    $ pip install --user -U dendropy
-
-These, and other ways of obtaining and installing DendroPy (e.g., by downloading the |dendropy_source_archive|_, or by cloning the `DendroPy Git repository <http://github.com/jeetsukumaran/DendroPy>`_), are discussed in detail in the ":doc:`/downloading`" section.
-
-Checking the Installation
-=========================
-
-If the installation was successful, you should be able to type "``sumtrees.py``" in the terminal window and see something like the following (with possibly a different date or version number)::
-
-    /==========================================================================\
-    |                                 SumTrees                                 |
-    |                     Phylogenetic Tree Summarization                      |
-    |                       Version 4.0.0 (Jan 31 2015)                        |
-    |                   By Jeet Sukumaran and Mark T. Holder                   |
-    |    Using: DendroPy 4.0.0.dev (DendroPy4-feea2b0, 2015-06-02 20:13:49)    |
-    +--------------------------------------------------------------------------+
-    |                                 Citation                                 |
-    |                                 ~~~~~~~~                                 |
-    | If any stage of your work or analyses relies on code or programs from    |
-    | this library, either directly or indirectly (e.g., through usage of your |
-    | own or third-party programs, pipelines, or toolkits which use, rely on,  |
-    | incorporate, or are otherwise primarily derivative of code/programs in   |
-    | this library), please cite:                                              |
-    |                                                                          |
-    |   Sukumaran, J and MT Holder. 2010. DendroPy: a Python library for       |
-    |     phylogenetic computing. Bioinformatics 26: 1569-1571.                |
-    |                                                                          |
-    |   Sukumaran, J and MT Holder. SumTrees: Phylogenetic Tree Summarization. |
-    |     4.0.0 (Jan 31 2015). Available at                                    |
-    |     https://github.com/jeetsukumaran/DendroPy.                           |
-    |                                                                          |
-    | Note that, in the interests of scientific reproducibility, you should    |
-    | describe in the text of your publications not only the specific          |
-    | version of the SumTrees program, but also the DendroPy library used in   |
-    | your analysis. For your information, you are running DendroPy            |
-    | 4.0.0.dev (DendroPy4-feea2b0, 2015-06-02 20:13:49).                      |
-    \==========================================================================/
-
-    usage: sumtrees.py [-i FORMAT] [-b BURNIN] [--force-rooted] [--force-unrooted]
-                    [-v] [--weighted-trees] [--preserve-underscores]
-                    [--taxon-name-file FILEPATH] [-t FILE] [-s SUMMARY-TYPE]
-                    [-f #.##] [--allow-unknown-target-tree-taxa]
-                    [--root-target-at-outgroup TAXON-LABEL]
-                    [--root-target-at-midpoint] [--set-outgroup TAXON-LABEL]
-                    [-e STRATEGY]
-                    [--force-minimum-edge-length FORCE_MINIMUM_EDGE_LENGTH]
-                    [--collapse-negative-edges] [--summarize-node-ages]
-                    [-l {support,keep,clear}] [--suppress-annotations] [-p]
-                    [-d #] [-o FILEPATH] [-F {nexus,newick,phylip,nexml}]
-                    [-x PREFIX] [--no-taxa-block]
-                    [--no-analysis-metainformation] [-c ADDITIONAL_COMMENTS]
-                    [-r] [-M] [-m NUM-PROCESSES] [-g LOG-FREQUENCY] [-q]
-                    [--ignore-missing-support] [-h] [--citation]
-                    [--usage-examples] [--describe]
-                    [TREE-FILEPATH [TREE-FILEPATH ...]]
-
-    Type 'sumtrees.py --help' for details on usage.
-    Type 'sumtrees.py --usage-examples' for examples of usage.
-
-You can now delete the original downloaded archive and unpacked directory if you want.
-
-How to Use the Program
-======================
-
-SumTrees is typically invoked by providing it a list of one or more tree files to be summarized::
-
-    $ sumtrees.py [OPTIONS] <TREEFILE> [<TREEFILE> [<TREEFILE> ...]]]
-
-Common options include specification of a target topology onto which to map the support ("``-t``" or "``--target``"), a summary tree to use (e.g., "``-s mcct``" or "``--summary-target=mcct``" an output file ("``-o``" or "``--output``"), and a burn-in value ("``-b``" or "``--burnin``").
-
-Full help on program usage and options is given by using the "``--help``" option::
-
-    $ sumtrees.py --help
-
-
-Quick Recipes
-=============
-
-Summarization of Posterior Probabilities of Clades with a Consensus Tree
-------------------------------------------------------------------------
-Summarize a set of tree files using a 95% rule consensus tree, with support for clades indicated as proportions (posterior probabilities) using branch labels, and branch lengths being the mean across all trees, dropping the first 200 trees in each file as a burn-in, and saving the result to "``result.tre``"::
-
-    $ sumtrees.py --min-clade-freq=0.95 --burnin=200 --output-tree-filepath=result.tre treefile1.tre treefile2.tre treefile3.tre
-    $ sumtrees.py -f0.95 -b200 -o result.tre treefile1.tre treefile2.tre treefile3.tre
-
-Summarization of Posterior Probabilities of Clades with a Maximum Clade Credibility Tree (MCCT)
------------------------------------------------------------------------------------------------
-
-Summarize a set of tree files using a tree in the input set that maximizes the product of clade support, with support for clades indicated as proportions (posterior probabilities) using branch labels, and branch lengths the mean across all trees, dropping the first 200 trees in each file as a burn-in, and saving the result to "``result.tre``"::
-
-    $ sumtrees.py --summary-target=mcct --burnin=200 --support-as-labels --output-tree-filepath=result.tre treefile1.tre treefile2.tre treefile3.tre
-    $ sumtrees.py -s mcct -b200 -l -o result.tre treefile1.tre treefile2.tre treefile3.tre
-
-Non-parametric Bootstrap Support of a Model Tree
-------------------------------------------------
-Calculate support for nodes on a specific tree, "``best.tre``" as given by a set of tree files, with support reported as percentages rounded to integers, and saving the result to "``result.tre``"::
-
-    $ sumtrees.py --decimals=0 --percentages --output-tree-filepath=result.tre --target=best.tre treefile1.tre treefile2.tre treefile3.tre
-    $ sumtrees.py -d0 -p -o result.tre -t best.tre treefile1.tre treefile2.tre treefile3.tre
-
-Set Node Ages of Target or Summary Tree(s) to Mean/Median Node Age of Input Trees
----------------------------------------------------------------------------------
-
-Summarize a set of ultrametric tree files using a 95% majority-rule consensus tree, with support for clades indicated as proportions (posterior probabilities) using branch labels, and branch lengths adjusted so the ages of internal nodes are the mean across all trees, dropping the first 200 trees in each file as a burn-in::
-
-    $ sumtrees.py --min-clade-freq=0.95 --burnin=200 --edges=mean-age --output-tree-filepath=result.tre treefile1.tre treefile2.tre treefile3.tre
-    $ sumtrees.py -f0.95 -b200 -o result.tre -l -e mean-age treefile1.tre treefile2.tre treefile3.tre
-
-To use the median age instead::
-
-    $ sumtrees.py --min-clade-freq=0.95 --burnin=200 --edges=median-age --output-tree-filepath=result.tre treefile1.tre treefile2.tre treefile3.tre
-    $ sumtrees.py -f0.95 -b200 -o result.tre -e median-age treefile1.tre treefile2.tre treefile3.tre
-
-Running in Parallel Mode
-------------------------
-
-Running in parallel mode will analyze each input source in its own independent process, with multiple processes running in parallel.
-Multiprocessing analysis is invoked by adding the "``-m``" or "``--multiprocessing``"  flag to the SumTrees command, and passing in the maximum number of processes to run in parallel.
-For example, if your machine has two cores, and you want to run the previous analyses using both of them, you would specify that SumTrees run in parallel mode with two processes by adding "``-m2``" or "``--multiprocessing=2``" to the SumTrees command invocation::
-
-    $ sumtrees.py --multiprocessing=2 --decimals=0 --percentages --output-tree-filepath=result.tre --target=best.tre treefile1.tre treefile2.tre treefile3.tre
-    $ sumtrees.py -m2 -d0 -p -o result.tre -t best.tre treefile1.tre treefile2.tre treefile3.tre
-    $ sumtrees.py --multiprocessing=2 --min-clade-freq=0.95 --burnin=200 --support-as-labels --output-tree-filepath=result.tre treefile1.tre treefile2.tre treefile3.tre
-    $ sumtrees.py -m2 -f0.95 -b200 -l -o result.tre treefile1.tre treefile2.tre treefile3.tre
-
-You can specify as many processes as you want, up to the total number of tree support files passed as input sources.
-If you want to use *all* the available cores on your machine, you can use the "``-M``" or "``--maximum-multiprocessing``" flag::
-
-    $ sumtrees.py --maximum-multiprocessing --decimals=0 --percentages --output-tree-filepath=result.tre --target=best.tre treefile1.tre treefile2.tre treefile3.tre
-    $ sumtrees.py -M -d0 -p -o result.tre -t best.tre treefile1.tre treefile2.tre treefile3.tre
-
-If you specify fewer processes than input sources, then the files will be cycled through the processes.
-
-Primers and Examples
-====================
-
-At its most basic, you will need to supply SumTrees with the path to one or more tree files in Newick or NEXUS format that you want to summarize::
-
-    $ sumtrees.py phylo.tre
-
-As no target tree was provided and no summary tree type was specified, SumTrees will, by default construct ad 50% majority-rule clade consensus tree of all the trees found in the file "``phylo.tre``" as  the summarization target.
-The internal node labels of the resulting consensus tree will, by default, indicate the proportion of trees in "``phylo.tre``" in which that clade was found, while the branch lengths of the resulting consensus tree being set to the mean of the branch lengths of that clade across all the trees in "``phylo.tre``".
-
-If you have split searches across multiple runs (across, for example, multiple computers, so as to speed up the search time), such that you have multiple tree files ("``phylo.run1.tre``", "``phylo.run2.tre``", "``phylo.run3.tre``", ...), you can instruct SumTrees to consider all these files together when summarizing the support by simply listing them one after another separated by spaces::
-
-    $ sumtrees.py phylo.run1.tre phylo.run2.tre phylo.run3.tre
-
-As before, the above command will construct a 50% majority-rule consensus tree with clade supported indicated by internal node labels and branch lengths being the mean across all trees, but this time it will use all the trees found across all the files listed: "``phylo.run1.tre``", "``phylo.run2.tre``", and "``phylo.run3.tre``".
-
-You will notice that the final resulting tree is displayed to the terminal and not saved anywhere.
-It will probably be more useful if we can save it to a file for visualization for further analysis.
-This can be done in one of two ways, either by redirecting the screen output to a file, using the standard (at least on UNIX and UNIX-like systems) redirection operator, ``>``::
-
-    $ sumtrees.py phylo.tre > phylo.consensus.sumtrees
-
-or by using the or "``--output-tree-filepath``" option::
-
-    $ sumtrees.py --output-tree-filepath=phylo.consensus.sumtrees phylo.tre
-
-If the files are in different directories, or you are not in the same directory as the files, you should use the full directory path specification::
-
-    $ sumtrees.py --output-tree-filepath=/Users/myself/MyProjects/phylo1/final/phylo.consensus.sumtrees /Users/myself/MyProjects/phylo1/phylo.tre
-
-More extended options specify things like: where to save the output (by default it goes to the screen), the topology or tree to which to map the support (user-supplied or consensus tree), the output format (NEXUS by default, but it can also be Newick), whether support is indicated in terms of proportions or percentages etc.
-All of these options are specified on the command line when invoking the program, with multiple options separated by spaces.
-Many of the options have two alternate forms, a long form (a word or phrase preceded by two dashes, e.g., "``--option``") and a short form (a single letter preceded by a single dash, "``-o``").
-The long form of the options needs an equals sign before setting the paramater (e.g., "``--option=1``"), while the short one does not (e.g., "``-o1``" or "``-o 1``").
-Most of the options have default values that will be used if not explicitly set when the program is invoked.
-The order that the options are given does *not* matter, i.e., "``sumtrees.py --option1=something --option2=something``" is the same as "``sumtrees.py --option2=something --option1=something``".
-As mentioned above, full details on these options, their long and short forms, as well as their default values will be given by invoking the program with the "``--help``" or "``-h``" option: "``sumtrees.py --help``".
-
-Specifying and Customization of the Summarization Target
-========================================================
-
-SumTrees maps support values calculated from the input set of trees onto a *target* topology.
-This target topology can be a *summary* topology constructed from the input set of trees based on a strategy specified by the user (using the the "``--summary-target``" or "``-s``" flag to specify, for example, a majority-rule consensus tree or a maximum credbility tree) or a topology provided by the user (using the "``--target-tree-filepath``" or "``-t``" option to provide, e.g., a maximum-likehood estimate or some other topology sourced by other means).
-
-Specifying a Summarization Topology Type
-----------------------------------------
-
-You can specify the type of summary topology onto which the support values are mapped using the "``--summary-target``" or "``-s``" option.
-This option takes one of three values as an argument:
-
-+-------------+---------------------------------------------------------------------------------------------------------------------------+
-+-------------+---------------------------------------------------------------------------------------------------------------------------+
-| "consensus" | The majority-rule consensus tree (default)                                                                                |
-+-------------+---------------------------------------------------------------------------------------------------------------------------+
-| "mcct"      | The Maximum Credibility Tree: the topology from the input set that maximizes the *product* of the support of the clades   |
-+-------------+---------------------------------------------------------------------------------------------------------------------------+
-| "msct"      | The Maximum Sum of Credibilities Tree: the topology from the input set that maximizes the *sum* of support of the clades. |
-+-------------+---------------------------------------------------------------------------------------------------------------------------+
-
-Majority-Rule Consensus Topology
-................................
-
-For example, say you have completed a 1000-replicate non-parametric analysis of your dataset using a program such as GARLI or RAxML.
-You want to construct a 70% majority-rule consensus tree of the replicates, with support indicated as percentages on the node labels.
-If the bootstrap replicates are in the file "``phylo-boots.tre``", you would then enter the following command::
-
-    $ sumtrees.py --summary-target=consensus --min-clade-freq=0.7 --percentages --decimals=0 phylo-boots.tre
-
-Or, using the short option syntax::
-
-    $ sumtrees.py -s consensus -f0.7 -p -d0 phylo-boots.tre
-
-Here, the "``--min-clade-freq=0.7``" or "``-f0.7``" option lowers the minimum threshold for clade inclusion to 70%.
-If you want a 95% majority-rule consensus tree instead, you would use "``--min-clade-freq=0.95``" or "``-f0.95``".
-The default threshold if none is specified is 0.5 (50%).
-The "``--percentages``" or "``-p``" option instructs SumTrees to report the support in terms of percentages, while the "``--decimals=0``" or "``-d 0``" option instructs SumTrees not to bother reporting any decimals.
-Note that even if you instruct SumTrees to report the support in terms of percentages, the minimum clade inclusion threshold is still given in terms of proportions.
-
-.. note::
-
-    As noted, if no target topology is specified (either using the "``--summary-target``"/"``-s``" or "``--target-tree-filepath``"/"``-t``" options), then SumTrees by default will construct and use a majority-rule consensus topology as a target, and hence the explicit specification of this as a target is not needed. Thus, the following will produce exactly the same results as above::
-
-        $ sumtrees.py --min-clade-freq=0.7 --percentages --decimals=0 phylo-boots.tre
-        $ sumtrees.py -f0.7 -p -d0 phylo-boots.tre
-
-Again, if we want to actually save the results to the file, we should use the "``--output-tree-filepath``" option::
-
-    $ sumtrees.py --output-tree-filepath=phylo-mle-support.sumtrees --min-clade-freq=0.7 --percentages --decimals=0 phylo-boots.tre
-    $ sumtrees.py -o phylo-mle-support.sumtrees -f0.7 --p --d0 phylo-boots.tre
-
-Maximum Clade Credibility Topology
-..................................
-
-The Maximum Clade Credibility Topology, or MCCT, is the topology that maximizes the *product* of the split support. You can use this as the target topology by specifying "``--summary-target=mcct``" or "``-s mcct``"::
-
-    $ sumtrees.py --summary-target=mcct phylo-boots.tre
-    $ sumtrees.py -s mcct phylo-boots.tre
-
-As might be expected, in can be combined with other options. For example, to discard the first 200 trees from each of the input sources and write the results to a file, "``results.tre``::
-
-    $ sumtrees.py --summary-target=mcct --burnin=200 --output-tree-filepath=results.tre treefile1.tre treefile2.tre treefile3.tre
-    $ sumtrees.py -s mcct -b 200 -o results.tre treefile1.tre treefile2.tre treefile3.tre
-
-
-.. .. note::
-
-        Unfortunately, there is a *lot* of confusion regarding the terminology of this topology. The earlier versions of *BEAST* manual described a summary topology they called the "Maximum Clade Credibility Tree" or MCCT, which is the topology amongst the input set that maximized the *sum* of the clade credibilities. Later versions of *BEAST* introduced a summarization approach that used the topology amongst the input set that maximized the *product* of the clade credibilities. In *some [...]
-
-
-Specifying a Custom Topology or Set of Topologies
--------------------------------------------------
-
-Say you also have a maximum likelihood estimate of the phylogeny, and want to annotate the nodes of the maximum likelihood tree with the proportion of trees out of the bootstrap replicates in which the node is found.
-Then, assuming your maximum likelihood tree is in the file, "``phylo-mle.tre``", and the bootstrap tree file is "``phylo-boots.tre``", you would use the "``--target-tree-filepath``" options, as in the following command::
-
-    $ sumtrees.py --target-tree-filepath=phylo-mle.tre phylo-boots.tre
-
-Here, "``--target-tree-filepath``" specifies the target topology onto which the support will be mapped, while the remaining (unprefixed) argument specifies the tree file that is the source of the support.
-An equivalent form of the same command, using the short option syntax is::
-
-    $ sumtrees.py -t phylo-mle.tre phylo-boots.tre
-
-If you want the support expressed in percentages instead of proportions, and the final tree saved to a file, you would enter::
-
-    $ sumtrees.py --output phylo-mle-support.sumtrees --target-tree-filepath phylo-mle.tre --proportions --decimals=0 phylo-boots.tre
-    $ sumtrees.py -o phylo-mle-support.sumtrees -t phylo-mle.tre -p -d0 phylo-boots.tre
-
-
-Summarizing Rooted and Ultrametric Trees
-----------------------------------------
-
-SumTrees treats all trees as unrooted unless specified otherwise. You can force SumTrees to treat all trees as rooted by passing it the "``--force-rooted``" flag::
-
-    $ sumtrees.py --force-rooted phylo.trees
-
-If the trees are rooted **and** ultrametric, the "``--summarize-node-ages``" flag will result in SumTrees summarizing node age information as well::
-
-    $ sumtrees.py --summarize-node-ages phylo.trees
-
-Summarizing Edge Lengths and Node Ages
---------------------------------------
-
-If a target topology has been specified using the "``--target-tree-filepath``" or the "``-t``" option, then by default SumTrees retains the edge lengths of the target topologies.
-Otherwise, if the input trees are ultrametric and the "``--summarize-node-ages``" option is given, then by default SumTrees will adjust the edge lengths of the target topology so that the ages of the internal nodes are the mean of the ages of the corresponding nodes in the input set of trees.
-Otherwise, if no target trees are specified and the "``--summarize-node-ages``" is not given, the edge lengths of the target topology will be set to the mean lengths of the corresponding edges of the input set.
-In all cases, these defaults can be overridden by using the "``--set-edges``" or "``-e``" option, which takes one of the following values:
-
-        - ``mean-length``: sets the edge lengths of the target/consensus tree(s) to the mean of the lengths of the corresponding edges of the input trees.
-        - ``median-length``: sets the edge lengths of the target/consensus tree(s) to the median of the lengths of the corresponding edges of the input trees.
-        - ``median-age``: adjusts the edge lengths of the target/consensus tree(s) such that the node ages correspond to the median age of corresponding nodes of the input trees [requires rooted ultrametric trees].
-        - ``mean-age``: adjusts the edge lengths of the target/consensus tree(s) such that the node ages correspond to the mean age of corresponding nodes of the input trees [requires rooted ultrametric trees].
-        - ``support``: edge lengths will be set to the support value for the split represented by the edge.
-        - ``keep``: do not change the existing edge lengths of the target topology.
-        - ``clear``: all edge lengths will be removed
-
-So, for example, to construct a consensus tree of a post-burnin set of ultrametric trees, with the node ages set to the *mean* instead of the median node age::
-
-    $ sumtrees.py --set-edges=mean-age --summarize-node-ages --burnin=200 beast1.trees beast2.trees beast3.trees
-    $ sumtrees.py --e mean-age --summarize-node-ages --b 200 beast1.trees beast2.trees beast3.trees
-
-Or to set the edges of a user-specifed tree to the median edge length of the input trees::
-
-    $ sumtrees.py --set-edges=median-length --target=mle.tre boots1.tre boots2.tre
-    $ sumtrees.py --e median-length -t mle.tre boots1.tre boots2.tre
-
-Rooting the Target Topology
----------------------------
-
-The following options allow for re-rooting of the target topology or topologies::
-
-  --root-target-at-outgroup TAXON-LABEL
-                        Root target tree(s) using specified taxon as outgroup.
-  --root-target-at-midpoint
-                        Root target tree(s) at midpoint.
-  --set-outgroup TAXON-LABEL
-                        Rotate the target trees such the specified taxon is in
-                        the outgroup position, but do not explicitly change
-                        the target tree rooting.
-
-For example::
-
-    $ sumtrees.py --root-target-at-outgroup Python_regius --target=mle.tre boots1.tre boots2.tre
-    $ sumtrees.py --root-target-at-midpoint -s mcct trees1.tre trees2.tre
-    $ sumtrees.py --set-outgroup Python_regius -s mcct trees1.tre trees2.tre
-
-.. note:
-
-    Note that, under the Nexus/Newick standards, underscores are automatically converted to spaces. So the taxon label in the above specification is read by DendroPy *not* as "Python_regius", but "Python regius". The same holds for the input tree files. If want to suppress this conversion of underscores to spaces, specify the "``--preserve-underscores``" flag::
-
-        $ sumtrees.py --preserve-underscores --root-target-at-outgroup Python_regius --target=mle.tre boots1.tre boots2.tre
-        $ sumtrees.py --preserve-underscores --set-outgroup Python_regius -s mcct trees1.tre trees2.tre
-
-Parallelizing SumTrees
-======================
-
-Basics
-------
-
-If you have multiple input (support) files, you can greatly increase the performance of SumTrees by running it in parallel mode.
-In parallel mode, each input source will be handled in a separate process, resulting in a speed-up linearly proportional to the total number of processes running in parallel.
-At its most basic, running in parallel mode involves nothing more than adding the "``-m``" or "``--multiprocessing`` option to the SumTrees invocation, and passing in the number of parallel processes to run.
-So, for example, if you have four tree files that you want to summarize, and you want to run these using two processes in parallel::
-
-    $ sumtrees.py --multiprocessing=2 -o result.tre phylo.run1.tre phylo.run2.tre phylo.run3.tre phylo.run4.tre
-    $ sumtrees.py -m 2 -o result.tre phylo.run1.tre phylo.run2.tre phylo.run3.tre phylo.run4.tre
-
-Or, to run in four processes simultaneously::
-
-    $ sumtrees.py --multiprocessing=4 phylo.run1.tre phylo.run2.tre phylo.run3.tre phylo.run4.tre
-    $ sumtrees.py -m 4 phylo.run1.tre phylo.run2.tre phylo.run3.tre phylo.run4.tre
-
-If you want to use all the available cores on the current machine, use the "``-M``" or "``--maximum-multiprocessing``" flag::
-
-    $ sumtrees.py --maximum-multiprocessing phylo.run1.tre phylo.run2.tre phylo.run3.tre phylo.run4.tre
-    $ sumtrees.py -M phylo.run1.tre phylo.run2.tre phylo.run3.tre phylo.run4.tre
-
-
-Other options as described above, can, of course be added as needed::
-
-    $ sumtrees.py --multiprocessing=4 --burnin=200 phylo.run1.tre phylo.run2.tre phylo.run3.tre phylo.run4.tre
-    $ sumtrees.py -m 4 -b 200 phylo.run1.tre phylo.run2.tre phylo.run3.tre phylo.run4.tre
-
-    $ sumtrees.py --maximum-multiprocessing --burnin=200 --min-clade-freq=0.75 phylo.run1.tre phylo.run2.tre phylo.run3.tre phylo.run4.tre
-    $ sumtrees.py -M -b 200 -f0.75 phylo.run1.tre phylo.run2.tre phylo.run3.tre phylo.run4.tre
-
-    $ sumtrees.py --maximum-multiprocessing --burnin=200 --min-clade-freq=0.75 --output-tree-filepath=con.tre phylo.run1.tre phylo.run2.tre phylo.run3.tre phylo.run4.tre
-    $ sumtrees.py -M -b 200 -f0.75 -o con.tre phylo.run1.tre phylo.run2.tre phylo.run3.tre phylo.run4.tre
-
-Parallelization Strategy: Deciding on the Number of Processes
--------------------------------------------------------------
-
-In parallel mode, SumTrees parallelizes by input files, which means that the maximum number of processes that can be run is limited to the number of input files.
-If you have four support tree files as input sources, as in the above example ("``phylo.run1.tre``", "``phylo.run2.tre``","``phylo.run3.tre``", and "``phylo.run4.tre``"), then you can run from 2 up to 4 processes in parallel.
-If you have 40 tree source or support files, then you can run from 2 up to 40 processes in parallel.
-
-Note that there is a difference between the number of *processes* that SumTrees runs, and the number of *processors* or cores available on your machine or in your given hardware context.
-When running SumTrees in parallel mode, you can specify *any* number of parallel *processes*, up to the number of support files, even if the number of processes greatly exceeds the number *processors* available.
-For example, you might have an octo-core machine available, which means that you have 8 processors available.
-If your analysis has 40 independent support files, you can invoke SumTrees with 40 parallel processes::
-
-    $ sumtrees.py --multiprocessing=40 -o result.tre t1.tre ... t40.tre
-
-SumTrees will indeed launch 40 parallel processes to process the files, and it will seem like 40 processes are being executed in parallel.
-In reality, however, the operating system is actually cycling the processes through the available processors in rapid succession, such that, on a nanosecond time-scale, only 8 processes are actually executing simultaneously: one on each of the available cores.
-While your run should complete without problems when oversubscribing the hardware in this way, there is going to be some degree of performance hit due to the overhead involved in managing the cycling of the processes through the processors.
-On some operating systems and hardware contexts, depending on the magnitude of oversubscription, this can be considerable.
-Thus it probably is a good idea to match the number of processes to the number of processors available.
-
-If you do not mind using all the available cores on your machine, you can use the "``--maximum-multiprocessing``" or "``-M``" flag to request this, instead of using a specific number.
-
-Another issue to consider is an even distribution of workload.
-Assuming that each of your input support files have the same number of trees, then it makes sense to specify a number of processes that is a factor of the number of input files.
-So, for example, if you have 8 input files to be summarized, you will get the best performance out of SumTrees by specifying 2, 4, or 8 processes, with the actual number given by the maximum number of processors available or that you want to dedicate to this task.
-
-Running Parallel-Mode SumTrees in a Parallel Environment on a High-Performance Computing (HPC) Cluster
-------------------------------------------------------------------------------------------------------
-
-Unfortunately, the diversity and idiosyncracies in various HPC configurations and set-ups are so great that it is very difficult to provide general recipes on how to run parallel-mode SumTrees in a parallel environment on an HPC cluster.
-However, in all cases, all you really need to do is to set up an appropriate parallel execution environment on the cluster, requesting a specific number of processors from the cluster scheduler software, and then tell SumTrees to run the same number of processes.
-
-For example, if your cluster uses the `Sun Grid Engine <http://gridengine.sunsource.net/>`_ as its scheduler, then you might use a job script such as the following:
-
-    .. parsed-literal::
-
-        # /bin/sh
-        #$ -cwd
-        #$ -V
-        #$ -pe mpi 4
-        sumtrees.py -m4 -o result.con.tre -burnin 100 mcmc1.tre mcmc2.tre mcmc3.tre mcmc4.tre
-
-The "``#$ -pe mpi 4``" line tells the SGE scheduler to allocate four processors to the job in the "``mpi``" parallel environment, while the "``-m4``" part of the SumTrees command tells SumTrees to run 4 processes in parallel.
-
-If you are using PBS/Torque as a scheduler, the equivalent job script might be:
-
-    .. parsed-literal::
-
-        # /bin/sh
-        #PBS -l nodes=2:ncpus=2
-        cd $PBS_O_WORKDIR
-        sumtrees.py -m4 -o result.con.tre -burnin 100 mcmc1.tre mcmc2.tre mcmc3.tre mcmc4.tre
-
-Here, the "``#PBS -l nodes=2:ncpus=2``" requests two processors on two nodes, while the "``-m4``" part of the SumTrees command, as before, tells SumTrees to run 4 processes in parallel.
-
-The particular job scripts you use will almost certainly be different, varying with the cluster job/load management software, scheduler and computing resources.
-Apart from the parallel environment name, number of processors and/or machine configuration, you might also need to provide a queue name, a maximum run time limit, and a soft or hard memory limit.
-None of it should make any difference to how SumTrees is actually invoked: you would still just use the "``-m``" or "``--multiprocessing``" flags to specify that SumTrees runs in parallel mode with a particular number of parallel processes).
-You just need to check with your cluster administrators or documentation to make sure your job script or execution context provides sufficient processors to match the number of processes that you want run (as well as other resources, e.g. wall time limit and memory limit, that SumTrees needs to finish its job).
-
-Improving Performance
-=====================
-
-    * Run SumTrees in parallel mode (see "`Running in Parallel Mode`_" or "`Parallelizing SumTrees`_")::
-
-        $ sumtrees.py -m 4 phylo.run1.tre phylo.run2.tre phylo.run3.tre phylo.run4.tre
-
-    * Reduce the tree-processing logging frequency.
-      By default, SumTrees will report back every 500th tree in a tree file, just to let you know where it is and to give you a sense of how long it will take. You can use the "``-g``"  or "``--log-frequency``" flag to control this behavior. If you have very large files, you may be content to have SumTrees report back every 5000th or even every 10000th tree instead::
-
-        $ sumtrees.py --log-frequency=10000 phylo.run1.tre phylo.run2.tre phylo.run3.tre phylo.run4.tre
-        $ sumtrees.py -g10000 phylo.run1.tre phylo.run2.tre phylo.run3.tre phylo.run4.tre
-
-      If you are content to let SumTrees run without reporting its progress *within* each file (SumTrees will still report back whenever it begins or ends working on a file), then you can switch off tree processing logging altogether by specifying a logging frequency of 0::
-
-        $ sumtrees.py --log-frequency=0 phylo.run1.tre phylo.run2.tre phylo.run3.tre phylo.run4.tre
-        $ sumtrees.py -g0 phylo.run1.tre phylo.run2.tre phylo.run3.tre phylo.run4.tre
-
-Troubleshooting
-===============
-
-Prerequisites
--------------
-
-|DendroPy|_ is a |Python|_ library.
-It requires and presupposes not only the existence of a |Python|_ installation on your system, but also that this Python installation is available on the system path.
-
-The biggest problem faced by most users is not so much not having |Python|_ installed, but not having the correct version of Python installed. You can check which version of Python you have running by typing::
-
-    $ python -V
-
-SumTrees, and the |DendroPy|_ library that it is part of, works out-of-the-box with any 2.x Python version 2.4 or greater.
-
-SumTrees will not work with versions of |Python|_ prior to 2.4, such as |Python|_ 2.3. It can probably be made to work pretty easily, and if you have strong enough motiviation to use Python 2.3, it might be worth the effort for you.
-It is not for me.
-
-SumTrees (and |DendroPy|) is currently not compatible with Python 3.
-
-My Computer Does Not Know What a Python Is
--------------------------------------------
-
-If you get a message like::
-
-    python: command not found
-
-it is either because |Python|_  is not installed on your system, or is not found on the system path.
-
-SumTrees is a |Python|_ script, and, as such, you will need to have a |Python|_  interpreter installed on your system.
-
-Otherwise, you must download and install Python 2.6 from: http://www.python.org/download/releases/2.6/.
-For your convenience, the clicking on the following links should lead you directly to the appropriate pre-compiled download:
-
-* `Mac OS X <http://www.python.org/ftp/python/2.6/python-2.6-macosx.dmg>`_
-* `Microsoft Windows <http://www.python.org/ftp/python/2.6/python-2.6.msi>`_
-
-For other platforms, the usual "``./configure``", "``make``", and "``sudo make install``" dance should get you up and running with the following:
-
-* `Cross-platform Source <http://www.python.org/ftp/python/2.6/Python-2.6.tgz>`_
-
-Microsoft Windows users should also refer to the `"Python Windows FAQ" <http://www.python.org/doc/faq/windows.html>`_
-(http://www.python.org/doc/faq/windows.html)
-after installing Python, and pay particular attention to the
-`"How do I run a Python program under Windows?" <http://www.python.org/doc/faq/windows.html#id2>`_ section, as it will
-help them greatly in getting Python up and running on the system path.
-
-Manual Installation
-===================
-
-The |DendroPy|_ library is actually quite straightforward to install manually, especially if you have any familiarity with Python and how Python files are organized.
-There are a couple of different things you could do:
-
-* Add the current location of the "``dendropy``" subdirectory to your Python path environmental variable, "``$PYTHONPATH``", and place the file "``programs/sumtrees.py``" on your system path.
-
-* Copy (or symlink) the "``dendropy``" directory to the "``site-packages``" directory of your Python installation, and place the file "``programs/sumtrees.py``" on your system path.
-
-Repository Access
-=================
-The |DendroPy|_ public-access |Git|_ repository can be cloned from:
-
-        |dendropy_public_repo_url|
-
-Bugs, Suggestions, Comments, etc.
-=================================
-
-If you encounter any problems, errors, crashes etc. while using this program, please let me (|js|_) know at jeetsukumaran at gmail.com. If you include the term "sumtrees" anywhere on the subject line (e.g. "Problem such-and-such with bootscore), it would help greatly with getting through the spam filter. Please include all the datafiles involved, as
-well the complete command used (with all the options and parameters) and the complete error message returned (simply cutting-and-pasting the terminal text should work fine).
-Please feel free to contact me if you have any other questions, suggestions or comments as well.
-
-How to Cite this Program
-=========================
-
-If you use this program in your analysis, please cite it as:
-
-    |dendropy_citation|
-
-In the text of your paper, if you want to look like you know what you are doing, you should probably also mention explicitly that you specifically used the SumTrees program of the |DendroPy|_ package, as well as the particular version numbers of SumTrees and |DendroPy|_ that you used.
-
-.. include:: ../license.inc
-.. include:: ../acknowledgements.inc
-
diff --git a/doc/source/schemas/fasta.rst b/doc/source/schemas/fasta.rst
deleted file mode 100644
index ef96035..0000000
--- a/doc/source/schemas/fasta.rst
+++ /dev/null
@@ -1,182 +0,0 @@
-*****
-FASTA
-*****
-
-.. contents::
-    :local:
-    :backlinks: none
-
-Description
-===========
-
-    * http://en.wikipedia.org/wiki/FASTA_format
-    * Lipman, DJ; Pearson, WR (1985). "Rapid and sensitive protein similarity searches". Science 227 (4693): 1435–41. `doi:10.1126/science.2983426 <http://www.sciencemag.org/content/227/4693/1435>`_.
-
-Reading
-=======
-
-Schema-Specific Keyword Arguments
----------------------------------
-
-.. autokeywordargumentsonly:: dendropy.dataio.fastareader.FastaReader.__init__
-
-Supported Methods
------------------
-
-``DnaCharacterMatrix.get``
-..........................
-(:meth:`method reference <dendropy.datamodel.charmatrixmodel.DnaCharacterMatrix.get>`)
-
-.. literalinclude:: /schemas/interfaces/fasta_dnacharactermatrix_get.py
-
-``RnaCharacterMatrix.get``
-..........................
-(:meth:`method reference <dendropy.datamodel.charmatrixmodel.RnaCharacterMatrix.get>`)
-
-.. literalinclude:: /schemas/interfaces/fasta_rnacharactermatrix_get.py
-
-``ProteinCharacterMatrix.get``
-..............................
-(:meth:`method reference <dendropy.datamodel.charmatrixmodel.ProteinCharacterMatrix.get>`)
-
-.. literalinclude:: /schemas/interfaces/fasta_proteincharactermatrix_get.py
-
-``RestrictionSitesCharacterMatrix.get``
-.......................................
-(:meth:`method reference <dendropy.datamodel.charmatrixmodel.RestrictionSitesCharacterMatrix.get>`)
-
-.. literalinclude:: /schemas/interfaces/fasta_restrictionsitescharactermatrix_get.py
-
-``InfiniteSitesCharacterMatrix.get``
-....................................
-(:meth:`method reference <dendropy.datamodel.charmatrixmodel.InfiniteSitesCharacterMatrix.get>`)
-
-.. literalinclude:: /schemas/interfaces/fasta_infinitesitescharactermatrix_get.py
-
-``StandardCharacterMatrix.get``
-...............................
-(:meth:`method reference <dendropy.datamodel.charmatrixmodel.StandardCharacterMatrix.get>`)
-
-.. literalinclude:: /schemas/interfaces/fasta_standardcharactermatrix_get.py
-
-``DataSet.get``
-...............
-(:meth:`method reference <dendropy.datamodel.datasetmodel.DataSet.get>`)
-
-Note that the type of data needs to be specified using the ``data_type``
-keyword argument.
-
-.. literalinclude:: /schemas/interfaces/fasta_dataset_get.py
-
-``DataSet.read``
-................
-(:meth:`method reference <dendropy.datamodel.datasetmodel.DataSet.read>`)
-
-Note that the type of data needs to be specified using the ``data_type``
-keyword argument.
-
-.. literalinclude:: /schemas/interfaces/fasta_dataset_read.py
-
-Writing
-=======
-
-.. _schema_specific_keyword_arguments_writing_fasta:
-
-Schema-Specific Keyword Arguments
----------------------------------
-
-.. autokeywordargumentsonly:: dendropy.dataio.fastawriter.FastaWriter.__init__
-
-Supported Methods
------------------
-
-``DnaCharacterMatrix.write``
-.............................
-(:meth:`method reference <dendropy.datamodel.charmatrixmodel.DnaCharacterMatrix.write>`)
-
-.. literalinclude:: /schemas/interfaces/fasta_write.py
-
-``DnaCharacterMatrix.as_string``
-................................
-(:meth:`method reference <dendropy.datamodel.charmatrixmodel.DnaCharacterMatrix.as_string>`)
-
-.. literalinclude:: /schemas/interfaces/fasta_as_string.py
-
-
-``RnaCharacterMatrix.write``
-.............................
-(:meth:`method reference <dendropy.datamodel.charmatrixmodel.RnaCharacterMatrix.write>`)
-
-.. literalinclude:: /schemas/interfaces/fasta_write.py
-
-``RnaCharacterMatrix.as_string``
-................................
-(:meth:`method reference <dendropy.datamodel.charmatrixmodel.RnaCharacterMatrix.as_string>`)
-
-.. literalinclude:: /schemas/interfaces/fasta_as_string.py
-
-
-``ProteinCharacterMatrix.write``
-.................................
-(:meth:`method reference <dendropy.datamodel.charmatrixmodel.ProteinCharacterMatrix.write>`)
-
-.. literalinclude:: /schemas/interfaces/fasta_write.py
-
-``ProteinCharacterMatrix.as_string``
-.....................................
-(:meth:`method reference <dendropy.datamodel.charmatrixmodel.ProteinCharacterMatrix.as_string>`)
-
-.. literalinclude:: /schemas/interfaces/fasta_as_string.py
-
-
-``RestrictionSitesCharacterMatrix.write``
-.........................................
-(:meth:`method reference <dendropy.datamodel.charmatrixmodel.RestrictionSitesCharacterMatrix.write>`)
-
-.. literalinclude:: /schemas/interfaces/fasta_write.py
-
-``RestrictionSitesCharacterMatrix.as_string``
-.............................................
-(:meth:`method reference <dendropy.datamodel.charmatrixmodel.RestrictionSitesCharacterMatrix.as_string>`)
-
-.. literalinclude:: /schemas/interfaces/fasta_as_string.py
-
-
-``InfiniteSitesCharacterMatrix.write``
-......................................
-(:meth:`method reference <dendropy.datamodel.charmatrixmodel.InfiniteSitesCharacterMatrix.write>`)
-
-.. literalinclude:: /schemas/interfaces/fasta_write.py
-
-``InfiniteSitesCharacterMatrix.as_string``
-..........................................
-(:meth:`method reference <dendropy.datamodel.charmatrixmodel.InfiniteSitesCharacterMatrix.as_string>`)
-
-.. literalinclude:: /schemas/interfaces/fasta_as_string.py
-
-
-``StandardCharacterMatrix.write``
-.................................
-(:meth:`method reference <dendropy.datamodel.charmatrixmodel.StandardCharacterMatrix.write>`)
-
-.. literalinclude:: /schemas/interfaces/fasta_write.py
-
-``StandardCharacterMatrix.as_string``
-.....................................
-(:meth:`method reference <dendropy.datamodel.charmatrixmodel.StandardCharacterMatrix.as_string>`)
-
-.. literalinclude:: /schemas/interfaces/fasta_as_string.py
-
-
-``DataSet.write``
-.................
-(:meth:`method reference <dendropy.datamodel.datasetmodel.DataSet.write>`)
-
-.. literalinclude:: /schemas/interfaces/fasta_write.py
-
-``DataSet.as_string``
-.....................
-(:meth:`method reference <dendropy.datamodel.datasetmodel.DataSet.as_string>`)
-
-.. literalinclude:: /schemas/interfaces/fasta_as_string.py
-
diff --git a/doc/source/schemas/index.rst b/doc/source/schemas/index.rst
deleted file mode 100644
index 815e83f..0000000
--- a/doc/source/schemas/index.rst
+++ /dev/null
@@ -1,36 +0,0 @@
-####################################################################
-DendroPy Schemas: Phylogenetic and Evolutionary Biology Data Formats
-####################################################################
-
-.. _Specifying_the_Data_Source_Format:
-.. _Specifying_the_Data_Writing_Format:
-
-In DendroPy, the format of the data is called its "schema".
-All the data import and export methods require specification of the data format through a "``schema``" keyword argument, which takes a *schema specification string* as a value.
-This is a string identifer that uniquely maps to a particular format, and should be one of the following values:
-
-    - ":doc:`fasta </schemas/fasta>`"
-    - ":doc:`newick </schemas/newick>`"
-    - ":doc:`nexus </schemas/nexus>`"
-    - ":doc:`nexml </schemas/nexml>`"
-    - ":doc:`phylip </schemas/phylip>`"
-
-
-.. _Schema_Specific_Keyword_Arguments:
-.. _Customizing_the_Data_Writing_Format:
-
-Furthermore, the various data reading and writing methods take other keywords arguments that vary depending on the schema to customize the way the data is parsed when read or formatted when written.
-These *schema-specific keyword arguments* are detailed in this section under each schema description, along with information and code templates/examples.
-
-
-Contents
-========
-
-.. toctree::
-    :maxdepth: 3
-
-    fasta
-    newick
-    nexml
-    nexus
-    phylip
diff --git a/doc/source/schemas/interfaces/fasta_as_string.py b/doc/source/schemas/interfaces/fasta_as_string.py
deleted file mode 100644
index 6173a93..0000000
--- a/doc/source/schemas/interfaces/fasta_as_string.py
+++ /dev/null
@@ -1,6 +0,0 @@
-s = d.as_string(
-        schema="fasta",
-        wrap=True,
-        ignore_unrecognized_keyword_arguments=False,
-        )
-
diff --git a/doc/source/schemas/interfaces/fasta_dataset_get.py b/doc/source/schemas/interfaces/fasta_dataset_get.py
deleted file mode 100644
index d0df964..0000000
--- a/doc/source/schemas/interfaces/fasta_dataset_get.py
+++ /dev/null
@@ -1,36 +0,0 @@
-d = dendropy.DataSet.get(
-        path="data.fas",
-        schema="fasta",
-        label=None,
-        taxon_namespace=None,
-        ignore_unrecognized_keyword_arguments=False,
-        data_type="dna",
-        )
-
-d = dendropy.DataSet.get(
-        path="data.fas",
-        schema="fasta",
-        label=None,
-        taxon_namespace=None,
-        ignore_unrecognized_keyword_arguments=False,
-        data_type="dna",
-        )
-
-d = dendropy.DataSet.get(
-        path="data.fas",
-        schema="fasta",
-        label=None,
-        taxon_namespace=None,
-        ignore_unrecognized_keyword_arguments=False,
-        data_type="standard",
-        )
-
-d = dendropy.DataSet.get(
-        path="data.fas",
-        schema="fasta",
-        label=None,
-        taxon_namespace=None,
-        ignore_unrecognized_keyword_arguments=False,
-        data_type="standard",
-        default_state_alphabet=dendropy.new_standard_state_alphabet("01")
-        )
diff --git a/doc/source/schemas/interfaces/fasta_dataset_read.py b/doc/source/schemas/interfaces/fasta_dataset_read.py
deleted file mode 100644
index f45fae4..0000000
--- a/doc/source/schemas/interfaces/fasta_dataset_read.py
+++ /dev/null
@@ -1,40 +0,0 @@
-d = dendropy.DataSet()
-d.read(
-        path="data.fas",
-        schema="fasta",
-        label=None,
-        taxon_namespace=None,
-        ignore_unrecognized_keyword_arguments=False,
-        data_type="dna",
-        )
-
-d = dendropy.DataSet()
-d.read(
-        path="data.fas",
-        schema="fasta",
-        label=None,
-        taxon_namespace=None,
-        ignore_unrecognized_keyword_arguments=False,
-        data_type="protein",
-        )
-
-d = dendropy.DataSet()
-d.read(
-        path="data.fas",
-        schema="fasta",
-        label=None,
-        taxon_namespace=None,
-        ignore_unrecognized_keyword_arguments=False,
-        data_type="standard",
-        )
-
-d = dendropy.DataSet()
-d.read(
-        path="data.fas",
-        schema="fasta",
-        label=None,
-        taxon_namespace=None,
-        ignore_unrecognized_keyword_arguments=False,
-        data_type="standard",
-        default_state_alphabet=dendropy.new_standard_state_alphabet("abc"),
-        )
diff --git a/doc/source/schemas/interfaces/fasta_dnacharactermatrix_get.py b/doc/source/schemas/interfaces/fasta_dnacharactermatrix_get.py
deleted file mode 100644
index d6f20dc..0000000
--- a/doc/source/schemas/interfaces/fasta_dnacharactermatrix_get.py
+++ /dev/null
@@ -1,9 +0,0 @@
-d = dendropy.DnaCharacterMatrix.get(
-        path="data.fas",
-        schema="fasta",
-        label=None,
-        taxon_namespace=None,
-        matrix_offset=None,
-        ignore_unrecognized_keyword_arguments=False,
-        )
-
diff --git a/doc/source/schemas/interfaces/fasta_infinitesitescharactermatrix_get.py b/doc/source/schemas/interfaces/fasta_infinitesitescharactermatrix_get.py
deleted file mode 100644
index 2678e97..0000000
--- a/doc/source/schemas/interfaces/fasta_infinitesitescharactermatrix_get.py
+++ /dev/null
@@ -1,9 +0,0 @@
-d = dendropy.InfiniteSitesCharacterMatrix.get(
-        path="data.fas",
-        schema="fasta",
-        label=None,
-        taxon_namespace=None,
-        matrix_offset=None,
-        ignore_unrecognized_keyword_arguments=False,
-        )
-
diff --git a/doc/source/schemas/interfaces/fasta_proteincharactermatrix_get.py b/doc/source/schemas/interfaces/fasta_proteincharactermatrix_get.py
deleted file mode 100644
index 8cab4c4..0000000
--- a/doc/source/schemas/interfaces/fasta_proteincharactermatrix_get.py
+++ /dev/null
@@ -1,9 +0,0 @@
-d = dendropy.ProteinCharacterMatrix.get(
-        path="data.fas",
-        schema="fasta",
-        label=None,
-        taxon_namespace=None,
-        matrix_offset=None,
-        ignore_unrecognized_keyword_arguments=False,
-        )
-
diff --git a/doc/source/schemas/interfaces/fasta_restrictionsitescharactermatrix_get.py b/doc/source/schemas/interfaces/fasta_restrictionsitescharactermatrix_get.py
deleted file mode 100644
index 09a4172..0000000
--- a/doc/source/schemas/interfaces/fasta_restrictionsitescharactermatrix_get.py
+++ /dev/null
@@ -1,9 +0,0 @@
-d = dendropy.RestrictionSitesCharacterMatrix.get(
-        path="data.fas",
-        schema="fasta",
-        label=None,
-        taxon_namespace=None,
-        matrix_offset=None,
-        ignore_unrecognized_keyword_arguments=False,
-        )
-
diff --git a/doc/source/schemas/interfaces/fasta_rnacharactermatrix_get.py b/doc/source/schemas/interfaces/fasta_rnacharactermatrix_get.py
deleted file mode 100644
index 159a702..0000000
--- a/doc/source/schemas/interfaces/fasta_rnacharactermatrix_get.py
+++ /dev/null
@@ -1,8 +0,0 @@
-d = dendropy.RnaCharacterMatrix.get(
-        path="data.fas",
-        schema="fasta",
-        label=None,
-        taxon_namespace=None,
-        matrix_offset=None,
-        ignore_unrecognized_keyword_arguments=False,
-        )
diff --git a/doc/source/schemas/interfaces/fasta_standardcharactermatrix_get.py b/doc/source/schemas/interfaces/fasta_standardcharactermatrix_get.py
deleted file mode 100644
index c669c99..0000000
--- a/doc/source/schemas/interfaces/fasta_standardcharactermatrix_get.py
+++ /dev/null
@@ -1,19 +0,0 @@
-d = dendropy.StandardCharacterMatrix.get(
-        path="data.fas",
-        schema="fasta",
-        label=None,
-        taxon_namespace=None,
-        matrix_offset=None,
-        ignore_unrecognized_keyword_arguments=False,
-        default_state_alphabet=None,
-        )
-
-d = dendropy.StandardCharacterMatrix.get(
-        path="data.fas",
-        schema="fasta",
-        label=None,
-        taxon_namespace=None,
-        matrix_offset=None,
-        ignore_unrecognized_keyword_arguments=False,
-        default_state_alphabet=dendropy.new_standard_state_alphabet("0123456789"),
-        )
diff --git a/doc/source/schemas/interfaces/fasta_write.py b/doc/source/schemas/interfaces/fasta_write.py
deleted file mode 100644
index 1b6101a..0000000
--- a/doc/source/schemas/interfaces/fasta_write.py
+++ /dev/null
@@ -1,7 +0,0 @@
-d.write(
-        path="data.fas",
-        schema="fasta",
-        wrap=True,
-        ignore_unrecognized_keyword_arguments=False,
-        )
-
diff --git a/doc/source/schemas/interfaces/newick_as_string.py b/doc/source/schemas/interfaces/newick_as_string.py
deleted file mode 100644
index a7a815d..0000000
--- a/doc/source/schemas/interfaces/newick_as_string.py
+++ /dev/null
@@ -1,22 +0,0 @@
-s = d.as_string(
-        schema='newick',
-        suppress_leaf_taxon_labels=False,
-        suppress_leaf_node_labels=True,
-        suppress_internal_taxon_labels=False,
-        suppress_internal_node_labels=False,
-        suppress_rooting=False,
-        suppress_edge_lengths=False,
-        unquoted_underscores=False,
-        preserve_spaces=False,
-        store_tree_weights=False,
-        taxon_token_map=None,
-        suppress_annotations=True,
-        annotations_as_nhx=False,
-        suppress_item_comments=True,
-        node_label_element_separator=' ',
-        node_label_compose_fn=None,
-        edge_label_compose_fn=None,
-        real_value_format_specifier='',
-        ignore_unrecognized_keyword_arguments=False,
-        )
-
diff --git a/doc/source/schemas/interfaces/newick_dataset_get.py b/doc/source/schemas/interfaces/newick_dataset_get.py
deleted file mode 100644
index bfd39a7..0000000
--- a/doc/source/schemas/interfaces/newick_dataset_get.py
+++ /dev/null
@@ -1,24 +0,0 @@
-data_set = dendropy.DataSet.get(
-    path="path/to/file",
-    schema="newick",
-    label=None,
-    taxon_namespace=None,
-    exclude_chars=False,
-    exclude_trees=False,
-    rooting="default-unrooted",
-    edge_length_type=float,
-    suppress_edge_lengths=False,
-    extract_comment_metadata=True,
-    store_tree_weights=False,
-    encode_splits=False,
-    finish_node_fn=None,
-    case_sensitive_taxon_labels=False,
-    preserve_underscores=False,
-    suppress_internal_node_taxa=True,
-    suppress_leaf_node_taxa=False,
-    terminating_semicolon_required=True,
-    ignore_unrecognized_keyword_arguments=False,
-    )
-
-
-
diff --git a/doc/source/schemas/interfaces/newick_dataset_read.py b/doc/source/schemas/interfaces/newick_dataset_read.py
deleted file mode 100644
index bb18222..0000000
--- a/doc/source/schemas/interfaces/newick_dataset_read.py
+++ /dev/null
@@ -1,23 +0,0 @@
-data_set = dendropy.DataSet()
-data_set.read(
-    path="path/to/file",
-    schema="newick",
-    exclude_chars=False,
-    exclude_trees=False,
-    rooting="default-unrooted",
-    edge_length_type=float,
-    suppress_edge_lengths=False,
-    extract_comment_metadata=True,
-    store_tree_weights=False,
-    encode_splits=False,
-    finish_node_fn=None,
-    case_sensitive_taxon_labels=False,
-    preserve_underscores=False,
-    suppress_internal_node_taxa=True,
-    suppress_leaf_node_taxa=False,
-    terminating_semicolon_required=True,
-    ignore_unrecognized_keyword_arguments=False,
-    )
-
-
-
diff --git a/doc/source/schemas/interfaces/newick_tree_get.py b/doc/source/schemas/interfaces/newick_tree_get.py
deleted file mode 100644
index 5457742..0000000
--- a/doc/source/schemas/interfaces/newick_tree_get.py
+++ /dev/null
@@ -1,23 +0,0 @@
-tree = dendropy.Tree.get(
-    path="tree.tre",
-    schema="newick",
-    label=None,
-    taxon_namespace=None,
-    collection_offset=None,
-    tree_offset=None,
-    rooting="default-unrooted",
-    edge_length_type=float,
-    suppress_edge_lengths=False,
-    extract_comment_metadata=True,
-    store_tree_weights=False,
-    encode_splits=False,
-    finish_node_fn=None,
-    case_sensitive_taxon_labels=False,
-    preserve_underscores=False,
-    suppress_internal_node_taxa=True,
-    suppress_leaf_node_taxa=False,
-    terminating_semicolon_required=True,
-    ignore_unrecognized_keyword_arguments=False,
-    )
-
-
diff --git a/doc/source/schemas/interfaces/newick_tree_get_from_path.py b/doc/source/schemas/interfaces/newick_tree_get_from_path.py
deleted file mode 100644
index 00ead25..0000000
--- a/doc/source/schemas/interfaces/newick_tree_get_from_path.py
+++ /dev/null
@@ -1,22 +0,0 @@
-tree = dendropy.Tree.get_from_path(
-    src="tree.tre",
-    schema="newick",
-    label=None,
-    taxon_namespace=None,
-    collection_offset=None,
-    tree_offset=None,
-    rooting="default-unrooted",
-    edge_length_type=float,
-    suppress_edge_lengths=False,
-    extract_comment_metadata=True,
-    store_tree_weights=False,
-    encode_splits=False,
-    finish_node_fn=None,
-    case_sensitive_taxon_labels=False,
-    preserve_underscores=False,
-    suppress_internal_node_taxa=True,
-    suppress_leaf_node_taxa=False,
-    terminating_semicolon_required=True,
-    ignore_unrecognized_keyword_arguments=False,
-    )
-
diff --git a/doc/source/schemas/interfaces/newick_tree_get_from_stream.py b/doc/source/schemas/interfaces/newick_tree_get_from_stream.py
deleted file mode 100644
index f2a1974..0000000
--- a/doc/source/schemas/interfaces/newick_tree_get_from_stream.py
+++ /dev/null
@@ -1,22 +0,0 @@
-tree = dendropy.Tree.get_from_stream(
-    src=open("tree.tre", "r"),
-    schema="newick",
-    label=None,
-    taxon_namespace=None,
-    collection_offset=None,
-    tree_offset=None,
-    rooting="default-unrooted",
-    edge_length_type=float,
-    suppress_edge_lengths=False,
-    extract_comment_metadata=True,
-    store_tree_weights=False,
-    encode_splits=False,
-    finish_node_fn=None,
-    case_sensitive_taxon_labels=False,
-    preserve_underscores=False,
-    suppress_internal_node_taxa=True,
-    suppress_leaf_node_taxa=False,
-    terminating_semicolon_required=True,
-    ignore_unrecognized_keyword_arguments=False,
-    )
-
diff --git a/doc/source/schemas/interfaces/newick_treearray_read.py b/doc/source/schemas/interfaces/newick_treearray_read.py
deleted file mode 100644
index bb44aea..0000000
--- a/doc/source/schemas/interfaces/newick_treearray_read.py
+++ /dev/null
@@ -1,22 +0,0 @@
-tree_array = dendropy.TreeArray()
-tree_array.read(
-    path="path/to/file",
-    schema="newick",
-    label=None,
-    collection_offset=None,
-    tree_offset=None,
-    rooting="default-unrooted",
-    edge_length_type=float,
-    suppress_edge_lengths=False,
-    extract_comment_metadata=True,
-    store_tree_weights=False,
-    encode_splits=False,
-    finish_node_fn=None,
-    case_sensitive_taxon_labels=False,
-    preserve_underscores=False,
-    suppress_internal_node_taxa=True,
-    suppress_leaf_node_taxa=False,
-    terminating_semicolon_required=True,
-    ignore_unrecognized_keyword_arguments=False,
-    )
-
diff --git a/doc/source/schemas/interfaces/newick_treelist_get.py b/doc/source/schemas/interfaces/newick_treelist_get.py
deleted file mode 100644
index 4024c6d..0000000
--- a/doc/source/schemas/interfaces/newick_treelist_get.py
+++ /dev/null
@@ -1,21 +0,0 @@
-tree_list = dendropy.TreeList.get(
-    path="path/to/file",
-    schema="newick",
-    label=None,
-    taxon_namespace=None,
-    collection_offset=None,
-    tree_offset=None,
-    rooting="default-unrooted",
-    edge_length_type=float,
-    suppress_edge_lengths=False,
-    extract_comment_metadata=True,
-    store_tree_weights=False,
-    encode_splits=False,
-    finish_node_fn=None,
-    case_sensitive_taxon_labels=False,
-    preserve_underscores=False,
-    suppress_internal_node_taxa=True,
-    suppress_leaf_node_taxa=False,
-    terminating_semicolon_required=True,
-    ignore_unrecognized_keyword_arguments=False,
-    )
diff --git a/doc/source/schemas/interfaces/newick_treelist_read.py b/doc/source/schemas/interfaces/newick_treelist_read.py
deleted file mode 100644
index bec8db1..0000000
--- a/doc/source/schemas/interfaces/newick_treelist_read.py
+++ /dev/null
@@ -1,20 +0,0 @@
-tree_list = dendropy.TreeList()
-tree_list.read(
-    path="path/to/file",
-    schema="newick",
-    collection_offset=None,
-    tree_offset=None,
-    rooting="default-unrooted",
-    edge_length_type=float,
-    suppress_edge_lengths=False,
-    extract_comment_metadata=True,
-    store_tree_weights=False,
-    encode_splits=False,
-    finish_node_fn=None,
-    case_sensitive_taxon_labels=False,
-    preserve_underscores=False,
-    suppress_internal_node_taxa=True,
-    suppress_leaf_node_taxa=False,
-    terminating_semicolon_required=True,
-    ignore_unrecognized_keyword_arguments=False,
-    )
diff --git a/doc/source/schemas/interfaces/newick_write.py b/doc/source/schemas/interfaces/newick_write.py
deleted file mode 100644
index d4ccfb5..0000000
--- a/doc/source/schemas/interfaces/newick_write.py
+++ /dev/null
@@ -1,23 +0,0 @@
-d.write(
-        path='outputfile.tre',
-        schema='newick',
-        suppress_leaf_taxon_labels=False,
-        suppress_leaf_node_labels=True,
-        suppress_internal_taxon_labels=False,
-        suppress_internal_node_labels=False,
-        suppress_rooting=False,
-        suppress_edge_lengths=False,
-        unquoted_underscores=False,
-        preserve_spaces=False,
-        store_tree_weights=False,
-        taxon_token_map=None,
-        suppress_annotations=True,
-        annotations_as_nhx=False,
-        suppress_item_comments=True,
-        node_label_element_separator=' ',
-        node_label_compose_fn=None,
-        edge_label_compose_fn=None,
-        real_value_format_specifier='',
-        ignore_unrecognized_keyword_arguments=False,
-        )
-
diff --git a/doc/source/schemas/interfaces/nexml_chars_as_string.py b/doc/source/schemas/interfaces/nexml_chars_as_string.py
deleted file mode 100644
index 79ac34f..0000000
--- a/doc/source/schemas/interfaces/nexml_chars_as_string.py
+++ /dev/null
@@ -1,8 +0,0 @@
-s = d.as_string(
-        schema='nexml',
-        markup_as_sequences=False,
-        ignore_unrecognized_keyword_arguments=False,
-        )
-
-
-
diff --git a/doc/source/schemas/interfaces/nexml_chars_write.py b/doc/source/schemas/interfaces/nexml_chars_write.py
deleted file mode 100644
index a47ce51..0000000
--- a/doc/source/schemas/interfaces/nexml_chars_write.py
+++ /dev/null
@@ -1,9 +0,0 @@
-d.write(
-        path='data.xml',
-        schema='nexml',
-        markup_as_sequences=False,
-        ignore_unrecognized_keyword_arguments=False,
-        )
-
-
-
diff --git a/doc/source/schemas/interfaces/nexml_dataset_as_string.py b/doc/source/schemas/interfaces/nexml_dataset_as_string.py
deleted file mode 100644
index ca85044..0000000
--- a/doc/source/schemas/interfaces/nexml_dataset_as_string.py
+++ /dev/null
@@ -1,8 +0,0 @@
-s = d.as_string(
-        schema='nexml',
-        markup_as_sequences=False,
-        suppress_unreferenced_taxon_namespaces=False,
-        ignore_unrecognized_keyword_arguments=False,
-        )
-
-
diff --git a/doc/source/schemas/interfaces/nexml_dataset_get.py b/doc/source/schemas/interfaces/nexml_dataset_get.py
deleted file mode 100644
index e7cf0db..0000000
--- a/doc/source/schemas/interfaces/nexml_dataset_get.py
+++ /dev/null
@@ -1,14 +0,0 @@
-data_set = dendropy.DataSet.get(
-    path="path/to/file",
-    schema="nexus",
-    label=None,
-    taxon_namespace=None,
-    exclude_chars=False,
-    exclude_trees=False,
-    default_namespace="http://www.nexml.org/2009",
-    case_sensitive_taxon_labels=False,
-    ignore_unrecognized_keyword_arguments=False,
-    )
-
-
-
diff --git a/doc/source/schemas/interfaces/nexml_dataset_read.py b/doc/source/schemas/interfaces/nexml_dataset_read.py
deleted file mode 100644
index 214a074..0000000
--- a/doc/source/schemas/interfaces/nexml_dataset_read.py
+++ /dev/null
@@ -1,13 +0,0 @@
-data_set = dendropy.DataSet()
-data_set.read(
-    path="path/to/file",
-    schema="nexml",
-    exclude_chars=False,
-    exclude_trees=False,
-    default_namespace="http://www.nexml.org/2009",
-    case_sensitive_taxon_labels=False,
-    ignore_unrecognized_keyword_arguments=False,
-    )
-
-
-
diff --git a/doc/source/schemas/interfaces/nexml_dataset_write.py b/doc/source/schemas/interfaces/nexml_dataset_write.py
deleted file mode 100644
index af65106..0000000
--- a/doc/source/schemas/interfaces/nexml_dataset_write.py
+++ /dev/null
@@ -1,9 +0,0 @@
-d.write(
-        path='data.xml',
-        schema='nexml',
-        markup_as_sequences=False,
-        suppress_unreferenced_taxon_namespaces=False,
-        ignore_unrecognized_keyword_arguments=False,
-        )
-
-
diff --git a/doc/source/schemas/interfaces/nexml_dnacharactermatrix_get.py b/doc/source/schemas/interfaces/nexml_dnacharactermatrix_get.py
deleted file mode 100644
index 25783ad..0000000
--- a/doc/source/schemas/interfaces/nexml_dnacharactermatrix_get.py
+++ /dev/null
@@ -1,10 +0,0 @@
-chars = dendropy.DnaCharacterMatrix.get(
-    path="path/to/file",
-    schema="nexml",
-    label=None,
-    taxon_namespace=None,
-    matrix_offset=None,
-    default_namespace="http://www.nexml.org/2009",
-    case_sensitive_taxon_labels=False,
-    ignore_unrecognized_keyword_arguments=False,
-    )
diff --git a/doc/source/schemas/interfaces/nexml_infinitesitescharactermatrix_get.py b/doc/source/schemas/interfaces/nexml_infinitesitescharactermatrix_get.py
deleted file mode 100644
index 0fd0efd..0000000
--- a/doc/source/schemas/interfaces/nexml_infinitesitescharactermatrix_get.py
+++ /dev/null
@@ -1,10 +0,0 @@
-chars = dendropy.InfiniteSitesCharacterMatrix.get(
-    path="path/to/file",
-    schema="nexml",
-    label=None,
-    taxon_namespace=None,
-    matrix_offset=None,
-    default_namespace="http://www.nexml.org/2009",
-    case_sensitive_taxon_labels=False,
-    ignore_unrecognized_keyword_arguments=False,
-    )
diff --git a/doc/source/schemas/interfaces/nexml_proteincharactermatrix_get.py b/doc/source/schemas/interfaces/nexml_proteincharactermatrix_get.py
deleted file mode 100644
index 3758f13..0000000
--- a/doc/source/schemas/interfaces/nexml_proteincharactermatrix_get.py
+++ /dev/null
@@ -1,10 +0,0 @@
-chars = dendropy.ProteinCharacterMatrix.get(
-    path="path/to/file",
-    schema="nexml",
-    label=None,
-    taxon_namespace=None,
-    matrix_offset=None,
-    default_namespace="http://www.nexml.org/2009",
-    case_sensitive_taxon_labels=False,
-    ignore_unrecognized_keyword_arguments=False,
-    )
diff --git a/doc/source/schemas/interfaces/nexml_restrictionsitescharactermatrix_get.py b/doc/source/schemas/interfaces/nexml_restrictionsitescharactermatrix_get.py
deleted file mode 100644
index 5ef048e..0000000
--- a/doc/source/schemas/interfaces/nexml_restrictionsitescharactermatrix_get.py
+++ /dev/null
@@ -1,10 +0,0 @@
-chars = dendropy.RestrictionSitesCharacterMatrix.get(
-    path="path/to/file",
-    schema="nexml",
-    label=None,
-    taxon_namespace=None,
-    matrix_offset=None,
-    default_namespace="http://www.nexml.org/2009",
-    case_sensitive_taxon_labels=False,
-    ignore_unrecognized_keyword_arguments=False,
-    )
diff --git a/doc/source/schemas/interfaces/nexml_rnacharactermatrix_get.py b/doc/source/schemas/interfaces/nexml_rnacharactermatrix_get.py
deleted file mode 100644
index 8be1c12..0000000
--- a/doc/source/schemas/interfaces/nexml_rnacharactermatrix_get.py
+++ /dev/null
@@ -1,10 +0,0 @@
-chars = dendropy.RnaCharacterMatrix.get(
-    path="path/to/file",
-    schema="nexml",
-    label=None,
-    taxon_namespace=None,
-    matrix_offset=None,
-    default_namespace="http://www.nexml.org/2009",
-    case_sensitive_taxon_labels=False,
-    ignore_unrecognized_keyword_arguments=False,
-    )
diff --git a/doc/source/schemas/interfaces/nexml_standardcharactermatrix_get.py b/doc/source/schemas/interfaces/nexml_standardcharactermatrix_get.py
deleted file mode 100644
index bf4bf7f..0000000
--- a/doc/source/schemas/interfaces/nexml_standardcharactermatrix_get.py
+++ /dev/null
@@ -1,10 +0,0 @@
-chars = dendropy.StandardCharacterMatrix.get(
-    path="path/to/file",
-    schema="nexml",
-    label=None,
-    taxon_namespace=None,
-    matrix_offset=None,
-    default_namespace="http://www.nexml.org/2009",
-    case_sensitive_taxon_labels=False,
-    ignore_unrecognized_keyword_arguments=False,
-    )
diff --git a/doc/source/schemas/interfaces/nexml_tree_get.py b/doc/source/schemas/interfaces/nexml_tree_get.py
deleted file mode 100644
index 7059b43..0000000
--- a/doc/source/schemas/interfaces/nexml_tree_get.py
+++ /dev/null
@@ -1,11 +0,0 @@
-tree = dendropy.Tree.get(
-    path="path/to/file",
-    schema="nexml",
-    label=None,
-    taxon_namespace=None,
-    collection_offset=None,
-    tree_offset=None,
-    default_namespace="http://www.nexml.org/2009",
-    case_sensitive_taxon_labels=False,
-    ignore_unrecognized_keyword_arguments=False,
-    )
diff --git a/doc/source/schemas/interfaces/nexml_treearray_get.py b/doc/source/schemas/interfaces/nexml_treearray_get.py
deleted file mode 100644
index ba6cd84..0000000
--- a/doc/source/schemas/interfaces/nexml_treearray_get.py
+++ /dev/null
@@ -1,11 +0,0 @@
-tree_array = dendropy.TreeArray.get(
-    path="path/to/file",
-    schema="nexml",
-    label=None,
-    taxon_namespace=None,
-    collection_offset=None,
-    tree_offset=None,
-    default_namespace="http://www.nexml.org/2009",
-    case_sensitive_taxon_labels=False,
-    ignore_unrecognized_keyword_arguments=False,
-    )
diff --git a/doc/source/schemas/interfaces/nexml_treearray_read.py b/doc/source/schemas/interfaces/nexml_treearray_read.py
deleted file mode 100644
index d9884a5..0000000
--- a/doc/source/schemas/interfaces/nexml_treearray_read.py
+++ /dev/null
@@ -1,10 +0,0 @@
-tree_array = dendropy.TreeArray()
-tree_array.read(
-    path="path/to/file",
-    schema="nexml",
-    collection_offset=None,
-    tree_offset=None,
-    default_namespace="http://www.nexml.org/2009",
-    case_sensitive_taxon_labels=False,
-    ignore_unrecognized_keyword_arguments=False,
-    )
diff --git a/doc/source/schemas/interfaces/nexml_treelist_get.py b/doc/source/schemas/interfaces/nexml_treelist_get.py
deleted file mode 100644
index 1d21ff0..0000000
--- a/doc/source/schemas/interfaces/nexml_treelist_get.py
+++ /dev/null
@@ -1,11 +0,0 @@
-tree_list = dendropy.TreeList.get(
-    path="path/to/file",
-    schema="nexml",
-    label=None,
-    taxon_namespace=None,
-    collection_offset=None,
-    tree_offset=None,
-    default_namespace="http://www.nexml.org/2009",
-    case_sensitive_taxon_labels=False,
-    ignore_unrecognized_keyword_arguments=False,
-    )
diff --git a/doc/source/schemas/interfaces/nexml_treelist_read.py b/doc/source/schemas/interfaces/nexml_treelist_read.py
deleted file mode 100644
index a3ea052..0000000
--- a/doc/source/schemas/interfaces/nexml_treelist_read.py
+++ /dev/null
@@ -1,10 +0,0 @@
-tree_list = dendropy.TreeList()
-tree_list.read(
-    path="path/to/file",
-    schema="nexml",
-    collection_offset=None,
-    tree_offset=None,
-    default_namespace="http://www.nexml.org/2009",
-    case_sensitive_taxon_labels=False,
-    ignore_unrecognized_keyword_arguments=False,
-    )
diff --git a/doc/source/schemas/interfaces/nexml_trees_as_string.py b/doc/source/schemas/interfaces/nexml_trees_as_string.py
deleted file mode 100644
index 5b2ce19..0000000
--- a/doc/source/schemas/interfaces/nexml_trees_as_string.py
+++ /dev/null
@@ -1,6 +0,0 @@
-s = d.as_string(
-        schema='nexml',
-        ignore_unrecognized_keyword_arguments=False,
-        )
-
-
diff --git a/doc/source/schemas/interfaces/nexml_trees_write.py b/doc/source/schemas/interfaces/nexml_trees_write.py
deleted file mode 100644
index 17e0fe2..0000000
--- a/doc/source/schemas/interfaces/nexml_trees_write.py
+++ /dev/null
@@ -1,7 +0,0 @@
-d.write(
-        path='trees.xml',
-        schema='nexml',
-        ignore_unrecognized_keyword_arguments=False,
-        )
-
-
diff --git a/doc/source/schemas/interfaces/nexus_chars_as_string.py b/doc/source/schemas/interfaces/nexus_chars_as_string.py
deleted file mode 100644
index 8b414a2..0000000
--- a/doc/source/schemas/interfaces/nexus_chars_as_string.py
+++ /dev/null
@@ -1,20 +0,0 @@
-s = d.as_string(
-        schema='nexus',
-        simple=False,
-        suppress_taxa_blocks=None,
-        suppress_block_titles=None,
-        file_comments=[],
-        preamble_blocks=[],
-        supplemental_blocks=[],
-        allow_multiline_comments=True,
-        continuous_character_state_value_format_fn=None,
-        discrete_character_state_value_format_fn=None,
-        unquoted_underscores=False,
-        preserve_spaces=False,
-        suppress_annotations=False,
-        annotations_as_nhx=False,
-        suppress_item_comments=False,
-        real_value_format_specifier='',
-        ignore_unrecognized_keyword_arguments=False,
-        )
-
diff --git a/doc/source/schemas/interfaces/nexus_chars_write.py b/doc/source/schemas/interfaces/nexus_chars_write.py
deleted file mode 100644
index 7561cd5..0000000
--- a/doc/source/schemas/interfaces/nexus_chars_write.py
+++ /dev/null
@@ -1,21 +0,0 @@
-d.write(
-        path='chars.nex',
-        schema='nexus',
-        simple=False,
-        suppress_taxa_blocks=None,
-        suppress_block_titles=None,
-        file_comments=[],
-        preamble_blocks=[],
-        supplemental_blocks=[],
-        allow_multiline_comments=True,
-        continuous_character_state_value_format_fn=None,
-        discrete_character_state_value_format_fn=None,
-        unquoted_underscores=False,
-        preserve_spaces=False,
-        suppress_annotations=False,
-        annotations_as_nhx=False,
-        suppress_item_comments=False,
-        real_value_format_specifier='',
-        ignore_unrecognized_keyword_arguments=False,
-        )
-
diff --git a/doc/source/schemas/interfaces/nexus_dataset_as_string.py b/doc/source/schemas/interfaces/nexus_dataset_as_string.py
deleted file mode 100644
index e9773e2..0000000
--- a/doc/source/schemas/interfaces/nexus_dataset_as_string.py
+++ /dev/null
@@ -1,32 +0,0 @@
-s = d.as_string(
-        schema='nexus',
-        simple=False,
-        suppress_taxa_blocks=None,
-        suppress_unreferenced_taxon_namespaces=False,
-        suppress_block_titles=None,
-        file_comments=[],
-        preamble_blocks=[],
-        supplemental_blocks=[],
-        allow_multiline_comments=True,
-        continuous_character_state_value_format_fn=None,
-        discrete_character_state_value_format_fn=None,
-        suppress_leaf_taxon_labels=False,
-        suppress_leaf_node_labels=True,
-        suppress_internal_taxon_labels=False,
-        suppress_internal_node_labels=False,
-        suppress_rooting=False,
-        suppress_edge_lengths=False,
-        unquoted_underscores=False,
-        preserve_spaces=False,
-        store_tree_weights=False,
-        translate_tree_taxa=None,
-        suppress_annotations=False,
-        annotations_as_nhx=False,
-        suppress_item_comments=False,
-        node_label_element_separator=' ',
-        node_label_compose_fn=None,
-        edge_label_compose_fn=None,
-        real_value_format_specifier='',
-        ignore_unrecognized_keyword_arguments=False,
-        )
-
diff --git a/doc/source/schemas/interfaces/nexus_dataset_get.py b/doc/source/schemas/interfaces/nexus_dataset_get.py
deleted file mode 100644
index 82d55c9..0000000
--- a/doc/source/schemas/interfaces/nexus_dataset_get.py
+++ /dev/null
@@ -1,24 +0,0 @@
-data_set = dendropy.DataSet.get(
-    path="path/to/file",
-    schema="nexus",
-    label=None,
-    taxon_namespace=None,
-    exclude_chars=False,
-    exclude_trees=False,
-    rooting="default-unrooted",
-    edge_length_type=float,
-    suppress_edge_lengths=False,
-    extract_comment_metadata=True,
-    store_tree_weights=False,
-    encode_splits=False,
-    finish_node_fn=None,
-    case_sensitive_taxon_labels=False,
-    preserve_underscores=False,
-    suppress_internal_node_taxa=True,
-    suppress_leaf_node_taxa=False,
-    terminating_semicolon_required=True,
-    ignore_unrecognized_keyword_arguments=False,
-    )
-
-
-
diff --git a/doc/source/schemas/interfaces/nexus_dataset_read.py b/doc/source/schemas/interfaces/nexus_dataset_read.py
deleted file mode 100644
index e1da9ce..0000000
--- a/doc/source/schemas/interfaces/nexus_dataset_read.py
+++ /dev/null
@@ -1,23 +0,0 @@
-data_set = dendropy.DataSet()
-data_set.read(
-    path="path/to/file",
-    schema="nexus",
-    exclude_chars=False,
-    exclude_trees=False,
-    rooting="default-unrooted",
-    edge_length_type=float,
-    suppress_edge_lengths=False,
-    extract_comment_metadata=True,
-    store_tree_weights=False,
-    encode_splits=False,
-    finish_node_fn=None,
-    case_sensitive_taxon_labels=False,
-    preserve_underscores=False,
-    suppress_internal_node_taxa=True,
-    suppress_leaf_node_taxa=False,
-    terminating_semicolon_required=True,
-    ignore_unrecognized_keyword_arguments=False,
-    )
-
-
-
diff --git a/doc/source/schemas/interfaces/nexus_dataset_write.py b/doc/source/schemas/interfaces/nexus_dataset_write.py
deleted file mode 100644
index 9253069..0000000
--- a/doc/source/schemas/interfaces/nexus_dataset_write.py
+++ /dev/null
@@ -1,33 +0,0 @@
-d.write(
-        path='dataset.nex',
-        schema='nexus',
-        simple=False,
-        suppress_taxa_blocks=None,
-        suppress_unreferenced_taxon_namespaces=False,
-        suppress_block_titles=None,
-        file_comments=[],
-        preamble_blocks=[],
-        supplemental_blocks=[],
-        allow_multiline_comments=True,
-        continuous_character_state_value_format_fn=None,
-        discrete_character_state_value_format_fn=None,
-        suppress_leaf_taxon_labels=False,
-        suppress_leaf_node_labels=True,
-        suppress_internal_taxon_labels=False,
-        suppress_internal_node_labels=False,
-        suppress_rooting=False,
-        suppress_edge_lengths=False,
-        unquoted_underscores=False,
-        preserve_spaces=False,
-        store_tree_weights=False,
-        translate_tree_taxa=None,
-        suppress_annotations=False,
-        annotations_as_nhx=False,
-        suppress_item_comments=False,
-        node_label_element_separator=' ',
-        node_label_compose_fn=None,
-        edge_label_compose_fn=None,
-        real_value_format_specifier='',
-        ignore_unrecognized_keyword_arguments=False,
-        )
-
diff --git a/doc/source/schemas/interfaces/nexus_dnacharactermatrix_get.py b/doc/source/schemas/interfaces/nexus_dnacharactermatrix_get.py
deleted file mode 100644
index 3189cdd..0000000
--- a/doc/source/schemas/interfaces/nexus_dnacharactermatrix_get.py
+++ /dev/null
@@ -1,9 +0,0 @@
-d = dendropy.DnaCharacterMatrix.get(
-        path="data.fas",
-        schema="nexus",
-        label=None,
-        taxon_namespace=None,
-        matrix_offset=None,
-        ignore_unrecognized_keyword_arguments=False,
-        )
-
diff --git a/doc/source/schemas/interfaces/nexus_infinitesitescharactermatrix_get.py b/doc/source/schemas/interfaces/nexus_infinitesitescharactermatrix_get.py
deleted file mode 100644
index 6e4b0be..0000000
--- a/doc/source/schemas/interfaces/nexus_infinitesitescharactermatrix_get.py
+++ /dev/null
@@ -1,9 +0,0 @@
-d = dendropy.InfiniteSitesCharacterMatrix.get(
-        path="data.fas",
-        schema="nexus",
-        label=None,
-        taxon_namespace=None,
-        matrix_offset=None,
-        ignore_unrecognized_keyword_arguments=False,
-        )
-
diff --git a/doc/source/schemas/interfaces/nexus_proteincharactermatrix_get.py b/doc/source/schemas/interfaces/nexus_proteincharactermatrix_get.py
deleted file mode 100644
index e25bba9..0000000
--- a/doc/source/schemas/interfaces/nexus_proteincharactermatrix_get.py
+++ /dev/null
@@ -1,9 +0,0 @@
-d = dendropy.ProteinCharacterMatrix.get(
-        path="data.fas",
-        schema="nexus",
-        label=None,
-        taxon_namespace=None,
-        matrix_offset=None,
-        ignore_unrecognized_keyword_arguments=False,
-        )
-
diff --git a/doc/source/schemas/interfaces/nexus_restrictionsitescharactermatrix_get.py b/doc/source/schemas/interfaces/nexus_restrictionsitescharactermatrix_get.py
deleted file mode 100644
index cf87ba8..0000000
--- a/doc/source/schemas/interfaces/nexus_restrictionsitescharactermatrix_get.py
+++ /dev/null
@@ -1,9 +0,0 @@
-d = dendropy.RestrictionSitesCharacterMatrix.get(
-        path="data.fas",
-        schema="nexus",
-        label=None,
-        taxon_namespace=None,
-        matrix_offset=None,
-        ignore_unrecognized_keyword_arguments=False,
-        )
-
diff --git a/doc/source/schemas/interfaces/nexus_rnacharactermatrix_get.py b/doc/source/schemas/interfaces/nexus_rnacharactermatrix_get.py
deleted file mode 100644
index fcc7576..0000000
--- a/doc/source/schemas/interfaces/nexus_rnacharactermatrix_get.py
+++ /dev/null
@@ -1,8 +0,0 @@
-d = dendropy.DnaCharacterMatrix.get(
-        path="data.fas",
-        schema="nexus",
-        label=None,
-        taxon_namespace=None,
-        matrix_offset=None,
-        ignore_unrecognized_keyword_arguments=False,
-        )
diff --git a/doc/source/schemas/interfaces/nexus_standardcharactermatrix_get.py b/doc/source/schemas/interfaces/nexus_standardcharactermatrix_get.py
deleted file mode 100644
index c656fd6..0000000
--- a/doc/source/schemas/interfaces/nexus_standardcharactermatrix_get.py
+++ /dev/null
@@ -1,19 +0,0 @@
-d = dendropy.StandardCharacterMatrix.get(
-        path="data.fas",
-        schema="nexus",
-        label=None,
-        taxon_namespace=None,
-        matrix_offset=None,
-        ignore_unrecognized_keyword_arguments=False,
-        default_state_alphabet=None,
-        )
-
-d = dendropy.StandardCharacterMatrix.get(
-        path="data.fas",
-        schema="nexus",
-        label=None,
-        taxon_namespace=None,
-        matrix_offset=None,
-        ignore_unrecognized_keyword_arguments=False,
-        default_state_alphabet=dendropy.new_standard_state_alphabet("0123456789"),
-        )
diff --git a/doc/source/schemas/interfaces/nexus_tree_get.py b/doc/source/schemas/interfaces/nexus_tree_get.py
deleted file mode 100644
index 109adab..0000000
--- a/doc/source/schemas/interfaces/nexus_tree_get.py
+++ /dev/null
@@ -1,23 +0,0 @@
-tree = dendropy.Tree.get(
-    path="tree.tre",
-    schema="nexus",
-    label=None,
-    taxon_namespace=None,
-    collection_offset=None,
-    tree_offset=None,
-    rooting="default-unrooted",
-    edge_length_type=float,
-    suppress_edge_lengths=False,
-    extract_comment_metadata=True,
-    store_tree_weights=False,
-    encode_splits=False,
-    finish_node_fn=None,
-    case_sensitive_taxon_labels=False,
-    preserve_underscores=False,
-    suppress_internal_node_taxa=True,
-    suppress_leaf_node_taxa=False,
-    terminating_semicolon_required=True,
-    ignore_unrecognized_keyword_arguments=False,
-    )
-
-
diff --git a/doc/source/schemas/interfaces/nexus_tree_get_from_path.py b/doc/source/schemas/interfaces/nexus_tree_get_from_path.py
deleted file mode 100644
index 7ef91c1..0000000
--- a/doc/source/schemas/interfaces/nexus_tree_get_from_path.py
+++ /dev/null
@@ -1,22 +0,0 @@
-tree = dendropy.Tree.get_from_path(
-    src="tree.tre",
-    schema="nexus",
-    label=None,
-    taxon_namespace=None,
-    collection_offset=None,
-    tree_offset=None,
-    rooting="default-unrooted",
-    edge_length_type=float,
-    suppress_edge_lengths=False,
-    extract_comment_metadata=True,
-    store_tree_weights=False,
-    encode_splits=False,
-    finish_node_fn=None,
-    case_sensitive_taxon_labels=False,
-    preserve_underscores=False,
-    suppress_internal_node_taxa=True,
-    suppress_leaf_node_taxa=False,
-    terminating_semicolon_required=True,
-    ignore_unrecognized_keyword_arguments=False,
-    )
-
diff --git a/doc/source/schemas/interfaces/nexus_tree_get_from_stream.py b/doc/source/schemas/interfaces/nexus_tree_get_from_stream.py
deleted file mode 100644
index 04f197c..0000000
--- a/doc/source/schemas/interfaces/nexus_tree_get_from_stream.py
+++ /dev/null
@@ -1,22 +0,0 @@
-tree = dendropy.Tree.get_from_stream(
-    src=open("tree.tre", "r"),
-    schema="nexus",
-    label=None,
-    taxon_namespace=None,
-    collection_offset=None,
-    tree_offset=None,
-    rooting="default-unrooted",
-    edge_length_type=float,
-    suppress_edge_lengths=False,
-    extract_comment_metadata=True,
-    store_tree_weights=False,
-    encode_splits=False,
-    finish_node_fn=None,
-    case_sensitive_taxon_labels=False,
-    preserve_underscores=False,
-    suppress_internal_node_taxa=True,
-    suppress_leaf_node_taxa=False,
-    terminating_semicolon_required=True,
-    ignore_unrecognized_keyword_arguments=False,
-    )
-
diff --git a/doc/source/schemas/interfaces/nexus_treearray_read.py b/doc/source/schemas/interfaces/nexus_treearray_read.py
deleted file mode 100644
index c9ce9b7..0000000
--- a/doc/source/schemas/interfaces/nexus_treearray_read.py
+++ /dev/null
@@ -1,22 +0,0 @@
-tree_array = dendropy.TreeArray()
-tree_array.read(
-    path="path/to/file",
-    schema="nexus",
-    label=None,
-    collection_offset=None,
-    tree_offset=None,
-    rooting="default-unrooted",
-    edge_length_type=float,
-    suppress_edge_lengths=False,
-    extract_comment_metadata=True,
-    store_tree_weights=False,
-    encode_splits=False,
-    finish_node_fn=None,
-    case_sensitive_taxon_labels=False,
-    preserve_underscores=False,
-    suppress_internal_node_taxa=True,
-    suppress_leaf_node_taxa=False,
-    terminating_semicolon_required=True,
-    ignore_unrecognized_keyword_arguments=False,
-    )
-
diff --git a/doc/source/schemas/interfaces/nexus_treelist_get.py b/doc/source/schemas/interfaces/nexus_treelist_get.py
deleted file mode 100644
index df2ff6f..0000000
--- a/doc/source/schemas/interfaces/nexus_treelist_get.py
+++ /dev/null
@@ -1,21 +0,0 @@
-tree_list = dendropy.TreeList.get(
-    path="path/to/file",
-    schema="nexus",
-    label=None,
-    taxon_namespace=None,
-    collection_offset=None,
-    tree_offset=None,
-    rooting="default-unrooted",
-    edge_length_type=float,
-    suppress_edge_lengths=False,
-    extract_comment_metadata=True,
-    store_tree_weights=False,
-    encode_splits=False,
-    finish_node_fn=None,
-    case_sensitive_taxon_labels=False,
-    preserve_underscores=False,
-    suppress_internal_node_taxa=True,
-    suppress_leaf_node_taxa=False,
-    terminating_semicolon_required=True,
-    ignore_unrecognized_keyword_arguments=False,
-    )
diff --git a/doc/source/schemas/interfaces/nexus_treelist_read.py b/doc/source/schemas/interfaces/nexus_treelist_read.py
deleted file mode 100644
index a884581..0000000
--- a/doc/source/schemas/interfaces/nexus_treelist_read.py
+++ /dev/null
@@ -1,20 +0,0 @@
-tree_list = dendropy.TreeList()
-tree_list.read(
-    path="path/to/file",
-    schema="nexus",
-    collection_offset=None,
-    tree_offset=None,
-    rooting="default-unrooted",
-    edge_length_type=float,
-    suppress_edge_lengths=False,
-    extract_comment_metadata=True,
-    store_tree_weights=False,
-    encode_splits=False,
-    finish_node_fn=None,
-    case_sensitive_taxon_labels=False,
-    preserve_underscores=False,
-    suppress_internal_node_taxa=True,
-    suppress_leaf_node_taxa=False,
-    terminating_semicolon_required=True,
-    ignore_unrecognized_keyword_arguments=False,
-    )
diff --git a/doc/source/schemas/interfaces/nexus_trees_as_string.py b/doc/source/schemas/interfaces/nexus_trees_as_string.py
deleted file mode 100644
index 8313693..0000000
--- a/doc/source/schemas/interfaces/nexus_trees_as_string.py
+++ /dev/null
@@ -1,28 +0,0 @@
-s = d.as_string(
-        schema='nexus',
-        suppress_taxa_blocks=None,
-        suppress_block_titles=None,
-        file_comments=[],
-        preamble_blocks=[],
-        supplemental_blocks=[],
-        allow_multiline_comments=True,
-        suppress_leaf_taxon_labels=False,
-        suppress_leaf_node_labels=True,
-        suppress_internal_taxon_labels=False,
-        suppress_internal_node_labels=False,
-        suppress_rooting=False,
-        suppress_edge_lengths=False,
-        unquoted_underscores=False,
-        preserve_spaces=False,
-        store_tree_weights=False,
-        translate_tree_taxa=None,
-        suppress_annotations=False,
-        annotations_as_nhx=False,
-        suppress_item_comments=False,
-        node_label_element_separator=' ',
-        node_label_compose_fn=None,
-        edge_label_compose_fn=None,
-        real_value_format_specifier='',
-        ignore_unrecognized_keyword_arguments=False,
-        )
-
diff --git a/doc/source/schemas/interfaces/nexus_trees_write.py b/doc/source/schemas/interfaces/nexus_trees_write.py
deleted file mode 100644
index 3aee2b3..0000000
--- a/doc/source/schemas/interfaces/nexus_trees_write.py
+++ /dev/null
@@ -1,29 +0,0 @@
-d.write(
-        path='trees.nex',
-        schema='nexus',
-        suppress_taxa_blocks=None,
-        suppress_block_titles=None,
-        file_comments=[],
-        preamble_blocks=[],
-        supplemental_blocks=[],
-        allow_multiline_comments=True,
-        suppress_leaf_taxon_labels=False,
-        suppress_leaf_node_labels=True,
-        suppress_internal_taxon_labels=False,
-        suppress_internal_node_labels=False,
-        suppress_rooting=False,
-        suppress_edge_lengths=False,
-        unquoted_underscores=False,
-        preserve_spaces=False,
-        store_tree_weights=False,
-        translate_tree_taxa=None,
-        suppress_annotations=False,
-        annotations_as_nhx=False,
-        suppress_item_comments=False,
-        node_label_element_separator=' ',
-        node_label_compose_fn=None,
-        edge_label_compose_fn=None,
-        real_value_format_specifier='',
-        ignore_unrecognized_keyword_arguments=False,
-        )
-
diff --git a/doc/source/schemas/interfaces/phylip_as_string.py b/doc/source/schemas/interfaces/phylip_as_string.py
deleted file mode 100644
index 3154f63..0000000
--- a/doc/source/schemas/interfaces/phylip_as_string.py
+++ /dev/null
@@ -1,8 +0,0 @@
-s = d.as_string(
-        schema="phylip",
-        strict=False,
-        spaces_to_underscores=False,
-        force_unique_taxon_labels=False,
-        ignore_unrecognized_keyword_arguments=False,
-        )
-
diff --git a/doc/source/schemas/interfaces/phylip_dataset_get.py b/doc/source/schemas/interfaces/phylip_dataset_get.py
deleted file mode 100644
index 3380b6a..0000000
--- a/doc/source/schemas/interfaces/phylip_dataset_get.py
+++ /dev/null
@@ -1,56 +0,0 @@
-d = dendropy.DataSet.get(
-        path="data.phylip",
-        schema="phylip",
-        label=None,
-        taxon_namespace=None,
-        strict=False,
-        interleaved=False,
-        multispace_delimiter=False,
-        underscore_to_spaces=False,
-        ignore_invalid_chars=False,
-        ignore_unrecognized_keyword_arguments=False,
-        data_type="dna",
-        )
-
-d = dendropy.DataSet.get(
-        path="data.phylip",
-        schema="phylip",
-        label=None,
-        taxon_namespace=None,
-        strict=False,
-        interleaved=False,
-        multispace_delimiter=False,
-        underscore_to_spaces=False,
-        ignore_invalid_chars=False,
-        ignore_unrecognized_keyword_arguments=False,
-        data_type="dna",
-        )
-
-d = dendropy.DataSet.get(
-        path="data.phylip",
-        schema="phylip",
-        label=None,
-        taxon_namespace=None,
-        strict=False,
-        interleaved=False,
-        multispace_delimiter=False,
-        underscore_to_spaces=False,
-        ignore_invalid_chars=False,
-        ignore_unrecognized_keyword_arguments=False,
-        data_type="standard",
-        )
-
-d = dendropy.DataSet.get(
-        path="data.phylip",
-        schema="phylip",
-        label=None,
-        taxon_namespace=None,
-        strict=False,
-        interleaved=False,
-        multispace_delimiter=False,
-        underscore_to_spaces=False,
-        ignore_invalid_chars=False,
-        ignore_unrecognized_keyword_arguments=False,
-        data_type="standard",
-        default_state_alphabet=dendropy.new_standard_state_alphabet("01")
-        )
diff --git a/doc/source/schemas/interfaces/phylip_dataset_read.py b/doc/source/schemas/interfaces/phylip_dataset_read.py
deleted file mode 100644
index 7c028fe..0000000
--- a/doc/source/schemas/interfaces/phylip_dataset_read.py
+++ /dev/null
@@ -1,60 +0,0 @@
-d = dendropy.DataSet()
-d.read(
-        path="data.phylip",
-        schema="phylip",
-        label=None,
-        taxon_namespace=None,
-        strict=False,
-        interleaved=False,
-        multispace_delimiter=False,
-        underscore_to_spaces=False,
-        ignore_invalid_chars=False,
-        ignore_unrecognized_keyword_arguments=False,
-        data_type="dna",
-        )
-
-d = dendropy.DataSet()
-d.read(
-        path="data.phylip",
-        schema="phylip",
-        label=None,
-        taxon_namespace=None,
-        strict=False,
-        interleaved=False,
-        multispace_delimiter=False,
-        underscore_to_spaces=False,
-        ignore_invalid_chars=False,
-        ignore_unrecognized_keyword_arguments=False,
-        data_type="protein",
-        )
-
-d = dendropy.DataSet()
-d.read(
-        path="data.phylip",
-        schema="phylip",
-        label=None,
-        taxon_namespace=None,
-        strict=False,
-        interleaved=False,
-        multispace_delimiter=False,
-        underscore_to_spaces=False,
-        ignore_invalid_chars=False,
-        ignore_unrecognized_keyword_arguments=False,
-        data_type="standard",
-        )
-
-d = dendropy.DataSet()
-d.read(
-        path="data.phylip",
-        schema="phylip",
-        label=None,
-        taxon_namespace=None,
-        strict=False,
-        interleaved=False,
-        multispace_delimiter=False,
-        underscore_to_spaces=False,
-        ignore_invalid_chars=False,
-        ignore_unrecognized_keyword_arguments=False,
-        data_type="standard",
-        default_state_alphabet=dendropy.new_standard_state_alphabet("abc"),
-        )
diff --git a/doc/source/schemas/interfaces/phylip_dnacharactermatrix_get.py b/doc/source/schemas/interfaces/phylip_dnacharactermatrix_get.py
deleted file mode 100644
index f9c4b0a..0000000
--- a/doc/source/schemas/interfaces/phylip_dnacharactermatrix_get.py
+++ /dev/null
@@ -1,13 +0,0 @@
-d = dendropy.DnaCharacterMatrix.get(
-        path="data.phylip",
-        schema="phylip",
-        label=None,
-        taxon_namespace=None,
-        matrix_offset=None,
-        strict=False,
-        interleaved=False,
-        multispace_delimiter=False,
-        underscore_to_spaces=False,
-        ignore_invalid_chars=False,
-        ignore_unrecognized_keyword_arguments=False,
-        )
diff --git a/doc/source/schemas/interfaces/phylip_infinitesitescharactermatrix_get.py b/doc/source/schemas/interfaces/phylip_infinitesitescharactermatrix_get.py
deleted file mode 100644
index 1235d43..0000000
--- a/doc/source/schemas/interfaces/phylip_infinitesitescharactermatrix_get.py
+++ /dev/null
@@ -1,13 +0,0 @@
-d = dendropy.InfiniteSitesCharacterMatrix.get(
-        path="data.phylip",
-        schema="phylip",
-        label=None,
-        taxon_namespace=None,
-        matrix_offset=None,
-        strict=False,
-        interleaved=False,
-        multispace_delimiter=False,
-        underscore_to_spaces=False,
-        ignore_invalid_chars=False,
-        ignore_unrecognized_keyword_arguments=False,
-        )
diff --git a/doc/source/schemas/interfaces/phylip_proteincharactermatrix_get.py b/doc/source/schemas/interfaces/phylip_proteincharactermatrix_get.py
deleted file mode 100644
index 5aa9f88..0000000
--- a/doc/source/schemas/interfaces/phylip_proteincharactermatrix_get.py
+++ /dev/null
@@ -1,13 +0,0 @@
-d = dendropy.ProteinCharacterMatrix.get(
-        path="data.phylip",
-        schema="phylip",
-        label=None,
-        taxon_namespace=None,
-        matrix_offset=None,
-        strict=False,
-        interleaved=False,
-        multispace_delimiter=False,
-        underscore_to_spaces=False,
-        ignore_invalid_chars=False,
-        ignore_unrecognized_keyword_arguments=False,
-        )
diff --git a/doc/source/schemas/interfaces/phylip_restrictionsitescharactermatrix_get.py b/doc/source/schemas/interfaces/phylip_restrictionsitescharactermatrix_get.py
deleted file mode 100644
index 6d7fe69..0000000
--- a/doc/source/schemas/interfaces/phylip_restrictionsitescharactermatrix_get.py
+++ /dev/null
@@ -1,13 +0,0 @@
-d = dendropy.RestrictionSitesCharacterMatrix.get(
-        path="data.phylip",
-        schema="phylip",
-        label=None,
-        taxon_namespace=None,
-        matrix_offset=None,
-        strict=False,
-        interleaved=False,
-        multispace_delimiter=False,
-        underscore_to_spaces=False,
-        ignore_invalid_chars=False,
-        ignore_unrecognized_keyword_arguments=False,
-        )
diff --git a/doc/source/schemas/interfaces/phylip_rnacharactermatrix_get.py b/doc/source/schemas/interfaces/phylip_rnacharactermatrix_get.py
deleted file mode 100644
index 57c0863..0000000
--- a/doc/source/schemas/interfaces/phylip_rnacharactermatrix_get.py
+++ /dev/null
@@ -1,14 +0,0 @@
-d = dendropy.RnaCharacterMatrix.get(
-        path="data.phylip",
-        schema="phylip",
-        label=None,
-        taxon_namespace=None,
-        matrix_offset=None,
-        strict=False,
-        interleaved=False,
-        multispace_delimiter=False,
-        underscore_to_spaces=False,
-        ignore_invalid_chars=False,
-        ignore_unrecognized_keyword_arguments=False,
-        )
-
diff --git a/doc/source/schemas/interfaces/phylip_standardcharactermatrix_get.py b/doc/source/schemas/interfaces/phylip_standardcharactermatrix_get.py
deleted file mode 100644
index bed8a8a..0000000
--- a/doc/source/schemas/interfaces/phylip_standardcharactermatrix_get.py
+++ /dev/null
@@ -1,29 +0,0 @@
-d = dendropy.StandardCharacterMatrix.get(
-        path="data.phylip",
-        schema="phylip",
-        label=None,
-        taxon_namespace=None,
-        matrix_offset=None,
-        strict=False,
-        interleaved=False,
-        multispace_delimiter=False,
-        underscore_to_spaces=False,
-        ignore_invalid_chars=False,
-        ignore_unrecognized_keyword_arguments=False,
-        default_state_alphabet=None,
-        )
-
-d = dendropy.StandardCharacterMatrix.get(
-        path="data.phylip",
-        schema="phylip",
-        label=None,
-        taxon_namespace=None,
-        matrix_offset=None,
-        strict=False,
-        interleaved=False,
-        multispace_delimiter=False,
-        underscore_to_spaces=False,
-        ignore_invalid_chars=False,
-        ignore_unrecognized_keyword_arguments=False,
-        default_state_alphabet=dendropy.new_standard_state_alphabet("0123456789"),
-        )
diff --git a/doc/source/schemas/interfaces/phylip_write.py b/doc/source/schemas/interfaces/phylip_write.py
deleted file mode 100644
index a0e9d3b..0000000
--- a/doc/source/schemas/interfaces/phylip_write.py
+++ /dev/null
@@ -1,9 +0,0 @@
-d.write(
-        path="data.phylip",
-        schema="phylip",
-        strict=False,
-        spaces_to_underscores=False,
-        force_unique_taxon_labels=False,
-        ignore_unrecognized_keyword_arguments=False,
-        )
-
diff --git a/doc/source/schemas/newick.rst b/doc/source/schemas/newick.rst
deleted file mode 100644
index 499915a..0000000
--- a/doc/source/schemas/newick.rst
+++ /dev/null
@@ -1,114 +0,0 @@
-******
-Newick
-******
-
-.. contents::
-    :local:
-    :backlinks: none
-
-Description
-===========
-
-    * http://evolution.genetics.washington.edu/phylip/newicktree.html
-    * http://en.wikipedia.org/wiki/Newick_format
-    * http://evolution.genetics.washington.edu/phylip/newick_doc.html
-
-Reading
-=======
-
-.. _schema_specific_keyword_arguments_reading_newick:
-
-Schema-Specific Keyword Arguments
----------------------------------
-
-.. autokeywordargumentsonly:: dendropy.dataio.newickreader.NewickReader.__init__
-
-Supported Methods
------------------
-
-``Tree.get``
-............
-(:meth:`method reference <dendropy.datamodel.treemodel.Tree.get>`)
-
-.. literalinclude:: /schemas/interfaces/newick_tree_get.py
-
-``TreeList.get``
-................
-(:meth:`method reference <dendropy.datamodel.treecollectionmodel.TreeList.get>`)
-
-.. literalinclude:: /schemas/interfaces/newick_treelist_get.py
-
-``TreeList.read``
-.................
-(:meth:`method reference <dendropy.datamodel.treecollectionmodel.TreeList.read>`)
-
-.. literalinclude:: /schemas/interfaces/newick_treelist_read.py
-
-``TreeArray.read``
-..................
-(:meth:`method reference <dendropy.datamodel.treecollectionmodel.TreeArray.read>`)
-
-.. literalinclude:: /schemas/interfaces/newick_treearray_read.py
-
-``DataSet.get``
-...............
-(:meth:`method reference <dendropy.datamodel.datasetmodel.DataSet.get>`)
-
-.. literalinclude:: /schemas/interfaces/newick_dataset_get.py
-
-``DataSet.read``
-................
-(:meth:`method reference <dendropy.datamodel.datasetmodel.DataSet.read>`)
-
-.. literalinclude:: /schemas/interfaces/newick_dataset_read.py
-
-Writing
-=======
-
-.. _schema_specific_keyword_arguments_writing_newick:
-
-Schema-Specific Keyword Arguments
----------------------------------
-
-.. autokeywordargumentsonly:: dendropy.dataio.newickwriter.NewickWriter.__init__
-
-Supported Methods
------------------
-
-``Tree.write``
-..............
-(:meth:`method reference <dendropy.datamodel.treemodel.Tree.write>`)
-
-.. literalinclude:: /schemas/interfaces/newick_write.py
-
-``Tree.as_string``
-..................
-(:meth:`method reference <dendropy.datamodel.treemodel.Tree.as_string>`)
-
-.. literalinclude:: /schemas/interfaces/newick_as_string.py
-
-``TreeList.write``
-..................
-(:meth:`method reference <dendropy.datamodel.treecollectionmodel.TreeList.write>`)
-
-.. literalinclude:: /schemas/interfaces/newick_write.py
-
-``TreeList.as_string``
-......................
-(:meth:`method reference <dendropy.datamodel.treecollectionmodel.TreeList.as_string>`)
-
-.. literalinclude:: /schemas/interfaces/newick_as_string.py
-
-``DataSet.write``
-.................
-(:meth:`method reference <dendropy.datamodel.datasetmodel.DataSet.write>`)
-
-.. literalinclude:: /schemas/interfaces/newick_write.py
-
-``DataSet.as_string``
-.....................
-(:meth:`method reference <dendropy.datamodel.datasetmodel.DataSet.as_string>`)
-
-.. literalinclude:: /schemas/interfaces/newick_as_string.py
-
-
diff --git a/doc/source/schemas/nexml.rst b/doc/source/schemas/nexml.rst
deleted file mode 100644
index b3c1d95..0000000
--- a/doc/source/schemas/nexml.rst
+++ /dev/null
@@ -1,224 +0,0 @@
-*****
-NeXML
-*****
-
-.. contents::
-    :local:
-    :backlinks: none
-
-Description
-===========
-
-Reading
-=======
-
-.. _schema_specific_keyword_arguments_reading_nexml:
-
-Schema-Specific Keyword Arguments
----------------------------------
-
-.. autokeywordargumentsonly:: dendropy.dataio.nexmlreader.NexmlReader.__init__
-
-Supported Methods
------------------
-
-``Tree.get``
-............
-(:meth:`method reference <dendropy.datamodel.treemodel.Tree.get>`)
-
-.. literalinclude:: /schemas/interfaces/nexml_tree_get.py
-
-``TreeList.get``
-................
-(:meth:`method reference <dendropy.datamodel.treecollectionmodel.TreeList.get>`)
-
-.. literalinclude:: /schemas/interfaces/nexml_treelist_get.py
-
-``TreeList.read``
-.................
-(:meth:`method reference <dendropy.datamodel.treecollectionmodel.TreeList.read>`)
-
-.. literalinclude:: /schemas/interfaces/nexml_treelist_read.py
-
-``TreeArray.read``
-..................
-(:meth:`method reference <dendropy.datamodel.treecollectionmodel.TreeArray.read>`)
-
-.. literalinclude:: /schemas/interfaces/nexml_treearray_read.py
-
-``DnaCharacterMatrix.get``
-..........................
-(:meth:`method reference <dendropy.datamodel.charmatrixmodel.DnaCharacterMatrix.get>`)
-
-.. literalinclude:: /schemas/interfaces/nexml_dnacharactermatrix_get.py
-
-``RnaCharacterMatrix.get``
-..........................
-(:meth:`method reference <dendropy.datamodel.charmatrixmodel.RnaCharacterMatrix.get>`)
-
-.. literalinclude:: /schemas/interfaces/nexml_rnacharactermatrix_get.py
-
-``ProteinCharacterMatrix.get``
-..............................
-(:meth:`method reference <dendropy.datamodel.charmatrixmodel.ProteinCharacterMatrix.get>`)
-
-.. literalinclude:: /schemas/interfaces/nexml_proteincharactermatrix_get.py
-
-``RestrictionSitesCharacterMatrix.get``
-.......................................
-(:meth:`method reference <dendropy.datamodel.charmatrixmodel.RestrictionSitesCharacterMatrix.get>`)
-
-.. literalinclude:: /schemas/interfaces/nexml_restrictionsitescharactermatrix_get.py
-
-``InfiniteSitesCharacterMatrix.get``
-....................................
-(:meth:`method reference <dendropy.datamodel.charmatrixmodel.InfiniteSitesCharacterMatrix.get>`)
-
-.. literalinclude:: /schemas/interfaces/nexml_infinitesitescharactermatrix_get.py
-
-``StandardCharacterMatrix.get``
-...............................
-(:meth:`method reference <dendropy.datamodel.charmatrixmodel.StandardCharacterMatrix.get>`)
-
-.. literalinclude:: /schemas/interfaces/nexml_standardcharactermatrix_get.py
-
-``DataSet.get``
-...............
-(:meth:`method reference <dendropy.datamodel.datasetmodel.DataSet.get>`)
-
-.. literalinclude:: /schemas/interfaces/nexml_dataset_get.py
-
-``DataSet.read``
-................
-(:meth:`method reference <dendropy.datamodel.datasetmodel.DataSet.read>`)
-
-.. literalinclude:: /schemas/interfaces/nexml_dataset_read.py
-
-
-Writing
-=======
-
-.. _schema_specific_keyword_arguments_writing_nexml:
-
-Schema-Specific Keyword Arguments
----------------------------------
-
-.. autokeywordargumentsonly:: dendropy.dataio.nexmlwriter.NexmlWriter.__init__
-
-Supported Methods
------------------
-
-``Tree.write``
-..............
-(:meth:`method reference <dendropy.datamodel.treemodel.Tree.write>`)
-
-.. literalinclude:: /schemas/interfaces/nexml_trees_write.py
-
-``Tree.as_string``
-..................
-(:meth:`method reference <dendropy.datamodel.treemodel.Tree.as_string>`)
-
-.. literalinclude:: /schemas/interfaces/nexml_trees_as_string.py
-
-``TreeList.write``
-..................
-(:meth:`method reference <dendropy.datamodel.treecollectionmodel.TreeList.write>`)
-
-.. literalinclude:: /schemas/interfaces/nexml_trees_write.py
-
-``TreeList.as_string``
-......................
-(:meth:`method reference <dendropy.datamodel.treecollectionmodel.TreeList.as_string>`)
-
-.. literalinclude:: /schemas/interfaces/nexml_trees_as_string.py
-
-``DnaCharacterMatrix.write``
-.............................
-(:meth:`method reference <dendropy.datamodel.charmatrixmodel.DnaCharacterMatrix.write>`)
-
-.. literalinclude:: /schemas/interfaces/nexml_chars_write.py
-
-``DnaCharacterMatrix.as_string``
-................................
-(:meth:`method reference <dendropy.datamodel.charmatrixmodel.DnaCharacterMatrix.as_string>`)
-
-.. literalinclude:: /schemas/interfaces/nexml_chars_as_string.py
-
-
-``RnaCharacterMatrix.write``
-.............................
-(:meth:`method reference <dendropy.datamodel.charmatrixmodel.RnaCharacterMatrix.write>`)
-
-.. literalinclude:: /schemas/interfaces/nexml_chars_write.py
-
-``RnaCharacterMatrix.as_string``
-................................
-(:meth:`method reference <dendropy.datamodel.charmatrixmodel.RnaCharacterMatrix.as_string>`)
-
-.. literalinclude:: /schemas/interfaces/nexml_chars_as_string.py
-
-
-``ProteinCharacterMatrix.write``
-.................................
-(:meth:`method reference <dendropy.datamodel.charmatrixmodel.ProteinCharacterMatrix.write>`)
-
-.. literalinclude:: /schemas/interfaces/nexml_chars_write.py
-
-``ProteinCharacterMatrix.as_string``
-.....................................
-(:meth:`method reference <dendropy.datamodel.charmatrixmodel.ProteinCharacterMatrix.as_string>`)
-
-.. literalinclude:: /schemas/interfaces/nexml_chars_as_string.py
-
-
-``RestrictionSitesCharacterMatrix.write``
-.........................................
-(:meth:`method reference <dendropy.datamodel.charmatrixmodel.RestrictionSitesCharacterMatrix.write>`)
-
-.. literalinclude:: /schemas/interfaces/nexml_chars_write.py
-
-``RestrictionSitesCharacterMatrix.as_string``
-.............................................
-(:meth:`method reference <dendropy.datamodel.charmatrixmodel.RestrictionSitesCharacterMatrix.as_string>`)
-
-.. literalinclude:: /schemas/interfaces/nexml_chars_as_string.py
-
-
-``InfiniteSitesCharacterMatrix.write``
-......................................
-(:meth:`method reference <dendropy.datamodel.charmatrixmodel.InfiniteSitesCharacterMatrix.write>`)
-
-.. literalinclude:: /schemas/interfaces/nexml_chars_write.py
-
-``InfiniteSitesCharacterMatrix.as_string``
-..........................................
-(:meth:`method reference <dendropy.datamodel.charmatrixmodel.InfiniteSitesCharacterMatrix.as_string>`)
-
-.. literalinclude:: /schemas/interfaces/nexml_chars_as_string.py
-
-
-``StandardCharacterMatrix.write``
-.................................
-(:meth:`method reference <dendropy.datamodel.charmatrixmodel.StandardCharacterMatrix.write>`)
-
-.. literalinclude:: /schemas/interfaces/nexml_chars_write.py
-
-``StandardCharacterMatrix.as_string``
-.....................................
-(:meth:`method reference <dendropy.datamodel.charmatrixmodel.StandardCharacterMatrix.as_string>`)
-
-.. literalinclude:: /schemas/interfaces/nexml_chars_as_string.py
-
-
-``DataSet.write``
-.................
-(:meth:`method reference <dendropy.datamodel.datasetmodel.DataSet.write>`)
-
-.. literalinclude:: /schemas/interfaces/nexml_dataset_write.py
-
-``DataSet.as_string``
-.....................
-(:meth:`method reference <dendropy.datamodel.datasetmodel.DataSet.as_string>`)
-
-.. literalinclude:: /schemas/interfaces/nexml_dataset_as_string.py
-
diff --git a/doc/source/schemas/nexus.rst b/doc/source/schemas/nexus.rst
deleted file mode 100644
index 4578a43..0000000
--- a/doc/source/schemas/nexus.rst
+++ /dev/null
@@ -1,225 +0,0 @@
-*****
-NEXUS
-*****
-
-.. contents::
-    :local:
-    :backlinks: none
-
-Description
-===========
-
-Reading
-=======
-
-.. _schema_specific_keyword_arguments_reading_nexus:
-
-Schema-Specific Keyword Arguments
----------------------------------
-
-.. autokeywordargumentsonly:: dendropy.dataio.nexusreader.NexusReader.__init__
-
-Supported Methods
------------------
-
-``Tree.get``
-............
-(:meth:`method reference <dendropy.datamodel.treemodel.Tree.get>`)
-
-.. literalinclude:: /schemas/interfaces/nexus_tree_get.py
-
-``TreeList.get``
-................
-(:meth:`method reference <dendropy.datamodel.treecollectionmodel.TreeList.get>`)
-
-.. literalinclude:: /schemas/interfaces/nexus_treelist_get.py
-
-``TreeList.read``
-.................
-(:meth:`method reference <dendropy.datamodel.treecollectionmodel.TreeList.read>`)
-
-.. literalinclude:: /schemas/interfaces/nexus_treelist_read.py
-
-``TreeArray.read``
-..................
-(:meth:`method reference <dendropy.datamodel.treecollectionmodel.TreeArray.read>`)
-
-.. literalinclude:: /schemas/interfaces/nexus_treearray_read.py
-
-``DnaCharacterMatrix.get``
-..........................
-(:meth:`method reference <dendropy.datamodel.charmatrixmodel.DnaCharacterMatrix.get>`)
-
-.. literalinclude:: /schemas/interfaces/nexus_dnacharactermatrix_get.py
-
-``RnaCharacterMatrix.get``
-..........................
-(:meth:`method reference <dendropy.datamodel.charmatrixmodel.RnaCharacterMatrix.get>`)
-
-.. literalinclude:: /schemas/interfaces/nexus_rnacharactermatrix_get.py
-
-``ProteinCharacterMatrix.get``
-..............................
-(:meth:`method reference <dendropy.datamodel.charmatrixmodel.ProteinCharacterMatrix.get>`)
-
-.. literalinclude:: /schemas/interfaces/nexus_proteincharactermatrix_get.py
-
-``RestrictionSitesCharacterMatrix.get``
-.......................................
-(:meth:`method reference <dendropy.datamodel.charmatrixmodel.RestrictionSitesCharacterMatrix.get>`)
-
-.. literalinclude:: /schemas/interfaces/nexus_restrictionsitescharactermatrix_get.py
-
-``InfiniteSitesCharacterMatrix.get``
-....................................
-(:meth:`method reference <dendropy.datamodel.charmatrixmodel.InfiniteSitesCharacterMatrix.get>`)
-
-.. literalinclude:: /schemas/interfaces/nexus_infinitesitescharactermatrix_get.py
-
-``StandardCharacterMatrix.get``
-...............................
-(:meth:`method reference <dendropy.datamodel.charmatrixmodel.StandardCharacterMatrix.get>`)
-
-.. literalinclude:: /schemas/interfaces/nexus_standardcharactermatrix_get.py
-
-``DataSet.get``
-...............
-(:meth:`method reference <dendropy.datamodel.datasetmodel.DataSet.get>`)
-
-.. literalinclude:: /schemas/interfaces/nexus_dataset_get.py
-
-``DataSet.read``
-................
-(:meth:`method reference <dendropy.datamodel.datasetmodel.DataSet.read>`)
-
-.. literalinclude:: /schemas/interfaces/nexus_dataset_read.py
-
-Writing
-=======
-
-.. _schema_specific_keyword_arguments_writing_nexus:
-
-Schema-Specific Keyword Arguments
----------------------------------
-
-.. autokeywordargumentsonly:: dendropy.dataio.nexuswriter.NexusWriter.__init__
-
-Supported Methods
------------------
-
-``Tree.write``
-..............
-(:meth:`method reference <dendropy.datamodel.treemodel.Tree.write>`)
-
-.. literalinclude:: /schemas/interfaces/nexus_trees_write.py
-
-``Tree.as_string``
-..................
-(:meth:`method reference <dendropy.datamodel.treemodel.Tree.as_string>`)
-
-.. literalinclude:: /schemas/interfaces/nexus_trees_as_string.py
-
-``TreeList.write``
-..................
-(:meth:`method reference <dendropy.datamodel.treecollectionmodel.TreeList.write>`)
-
-.. literalinclude:: /schemas/interfaces/nexus_trees_write.py
-
-``TreeList.as_string``
-......................
-(:meth:`method reference <dendropy.datamodel.treecollectionmodel.TreeList.as_string>`)
-
-.. literalinclude:: /schemas/interfaces/nexus_trees_as_string.py
-
-``DnaCharacterMatrix.write``
-.............................
-(:meth:`method reference <dendropy.datamodel.charmatrixmodel.DnaCharacterMatrix.write>`)
-
-.. literalinclude:: /schemas/interfaces/nexus_chars_write.py
-
-``DnaCharacterMatrix.as_string``
-................................
-(:meth:`method reference <dendropy.datamodel.charmatrixmodel.DnaCharacterMatrix.as_string>`)
-
-.. literalinclude:: /schemas/interfaces/nexus_chars_as_string.py
-
-
-``RnaCharacterMatrix.write``
-.............................
-(:meth:`method reference <dendropy.datamodel.charmatrixmodel.RnaCharacterMatrix.write>`)
-
-.. literalinclude:: /schemas/interfaces/nexus_chars_write.py
-
-``RnaCharacterMatrix.as_string``
-................................
-(:meth:`method reference <dendropy.datamodel.charmatrixmodel.RnaCharacterMatrix.as_string>`)
-
-.. literalinclude:: /schemas/interfaces/nexus_chars_as_string.py
-
-
-``ProteinCharacterMatrix.write``
-.................................
-(:meth:`method reference <dendropy.datamodel.charmatrixmodel.ProteinCharacterMatrix.write>`)
-
-.. literalinclude:: /schemas/interfaces/nexus_chars_write.py
-
-``ProteinCharacterMatrix.as_string``
-.....................................
-(:meth:`method reference <dendropy.datamodel.charmatrixmodel.ProteinCharacterMatrix.as_string>`)
-
-.. literalinclude:: /schemas/interfaces/nexus_chars_as_string.py
-
-
-``RestrictionSitesCharacterMatrix.write``
-.........................................
-(:meth:`method reference <dendropy.datamodel.charmatrixmodel.RestrictionSitesCharacterMatrix.write>`)
-
-.. literalinclude:: /schemas/interfaces/nexus_chars_write.py
-
-``RestrictionSitesCharacterMatrix.as_string``
-.............................................
-(:meth:`method reference <dendropy.datamodel.charmatrixmodel.RestrictionSitesCharacterMatrix.as_string>`)
-
-.. literalinclude:: /schemas/interfaces/nexus_chars_as_string.py
-
-
-``InfiniteSitesCharacterMatrix.write``
-......................................
-(:meth:`method reference <dendropy.datamodel.charmatrixmodel.InfiniteSitesCharacterMatrix.write>`)
-
-.. literalinclude:: /schemas/interfaces/nexus_chars_write.py
-
-``InfiniteSitesCharacterMatrix.as_string``
-..........................................
-(:meth:`method reference <dendropy.datamodel.charmatrixmodel.InfiniteSitesCharacterMatrix.as_string>`)
-
-.. literalinclude:: /schemas/interfaces/nexus_chars_as_string.py
-
-
-``StandardCharacterMatrix.write``
-.................................
-(:meth:`method reference <dendropy.datamodel.charmatrixmodel.StandardCharacterMatrix.write>`)
-
-.. literalinclude:: /schemas/interfaces/nexus_chars_write.py
-
-``StandardCharacterMatrix.as_string``
-.....................................
-(:meth:`method reference <dendropy.datamodel.charmatrixmodel.StandardCharacterMatrix.as_string>`)
-
-.. literalinclude:: /schemas/interfaces/nexus_chars_as_string.py
-
-
-``DataSet.write``
-.................
-(:meth:`method reference <dendropy.datamodel.datasetmodel.DataSet.write>`)
-
-.. literalinclude:: /schemas/interfaces/nexus_dataset_write.py
-
-``DataSet.as_string``
-.....................
-(:meth:`method reference <dendropy.datamodel.datasetmodel.DataSet.as_string>`)
-
-.. literalinclude:: /schemas/interfaces/nexus_dataset_as_string.py
-
-
-
diff --git a/doc/source/schemas/phylip.rst b/doc/source/schemas/phylip.rst
deleted file mode 100644
index e512c53..0000000
--- a/doc/source/schemas/phylip.rst
+++ /dev/null
@@ -1,180 +0,0 @@
-******
-PHYLIP
-******
-
-.. contents::
-    :local:
-    :backlinks: none
-
-Description
-===========
-
-Reading
-=======
-
-Schema-Specific Keyword Arguments
----------------------------------
-
-.. autokeywordargumentsonly:: dendropy.dataio.phylipreader.PhylipReader.__init__
-
-Supported Methods
------------------
-
-``DnaCharacterMatrix.get``
-..........................
-(:meth:`method reference <dendropy.datamodel.charmatrixmodel.DnaCharacterMatrix.get>`)
-
-.. literalinclude:: /schemas/interfaces/phylip_dnacharactermatrix_get.py
-
-``RnaCharacterMatrix.get``
-..........................
-(:meth:`method reference <dendropy.datamodel.charmatrixmodel.RnaCharacterMatrix.get>`)
-
-.. literalinclude:: /schemas/interfaces/phylip_rnacharactermatrix_get.py
-
-``ProteinCharacterMatrix.get``
-..............................
-(:meth:`method reference <dendropy.datamodel.charmatrixmodel.ProteinCharacterMatrix.get>`)
-
-.. literalinclude:: /schemas/interfaces/phylip_proteincharactermatrix_get.py
-
-``RestrictionSitesCharacterMatrix.get``
-.......................................
-(:meth:`method reference <dendropy.datamodel.charmatrixmodel.RestrictionSitesCharacterMatrix.get>`)
-
-.. literalinclude:: /schemas/interfaces/phylip_restrictionsitescharactermatrix_get.py
-
-``InfiniteSitesCharacterMatrix.get``
-....................................
-(:meth:`method reference <dendropy.datamodel.charmatrixmodel.InfiniteSitesCharacterMatrix.get>`)
-
-.. literalinclude:: /schemas/interfaces/phylip_infinitesitescharactermatrix_get.py
-
-``StandardCharacterMatrix.get``
-...............................
-(:meth:`method reference <dendropy.datamodel.charmatrixmodel.StandardCharacterMatrix.get>`)
-
-.. literalinclude:: /schemas/interfaces/phylip_standardcharactermatrix_get.py
-
-``DataSet.get``
-...............
-(:meth:`method reference <dendropy.datamodel.datasetmodel.DataSet.get>`)
-
-Note that the type of data needs to be specified using the ``data_type``
-keyword argument.
-
-.. literalinclude:: /schemas/interfaces/phylip_dataset_get.py
-
-``DataSet.read``
-................
-(:meth:`method reference <dendropy.datamodel.datasetmodel.DataSet.read>`)
-
-Note that the type of data needs to be specified using the ``data_type``
-keyword argument.
-
-.. literalinclude:: /schemas/interfaces/phylip_dataset_read.py
-
-
-Writing
-=======
-
-.. _schema_specific_keyword_arguments_writing_phylip:
-
-Schema-Specific Keyword Arguments
----------------------------------
-
-.. autokeywordargumentsonly:: dendropy.dataio.phylipwriter.PhylipWriter.__init__
-
-Supported Methods
------------------
-
-``DnaCharacterMatrix.write``
-.............................
-(:meth:`method reference <dendropy.datamodel.charmatrixmodel.DnaCharacterMatrix.write>`)
-
-.. literalinclude:: /schemas/interfaces/phylip_write.py
-
-``DnaCharacterMatrix.as_string``
-................................
-(:meth:`method reference <dendropy.datamodel.charmatrixmodel.DnaCharacterMatrix.as_string>`)
-
-.. literalinclude:: /schemas/interfaces/phylip_as_string.py
-
-
-``RnaCharacterMatrix.write``
-.............................
-(:meth:`method reference <dendropy.datamodel.charmatrixmodel.RnaCharacterMatrix.write>`)
-
-.. literalinclude:: /schemas/interfaces/phylip_write.py
-
-``RnaCharacterMatrix.as_string``
-................................
-(:meth:`method reference <dendropy.datamodel.charmatrixmodel.RnaCharacterMatrix.as_string>`)
-
-.. literalinclude:: /schemas/interfaces/phylip_as_string.py
-
-
-``ProteinCharacterMatrix.write``
-.................................
-(:meth:`method reference <dendropy.datamodel.charmatrixmodel.ProteinCharacterMatrix.write>`)
-
-.. literalinclude:: /schemas/interfaces/phylip_write.py
-
-``ProteinCharacterMatrix.as_string``
-.....................................
-(:meth:`method reference <dendropy.datamodel.charmatrixmodel.ProteinCharacterMatrix.as_string>`)
-
-.. literalinclude:: /schemas/interfaces/phylip_as_string.py
-
-
-``RestrictionSitesCharacterMatrix.write``
-.........................................
-(:meth:`method reference <dendropy.datamodel.charmatrixmodel.RestrictionSitesCharacterMatrix.write>`)
-
-.. literalinclude:: /schemas/interfaces/phylip_write.py
-
-``RestrictionSitesCharacterMatrix.as_string``
-.............................................
-(:meth:`method reference <dendropy.datamodel.charmatrixmodel.RestrictionSitesCharacterMatrix.as_string>`)
-
-.. literalinclude:: /schemas/interfaces/phylip_as_string.py
-
-
-``InfiniteSitesCharacterMatrix.write``
-......................................
-(:meth:`method reference <dendropy.datamodel.charmatrixmodel.InfiniteSitesCharacterMatrix.write>`)
-
-.. literalinclude:: /schemas/interfaces/phylip_write.py
-
-``InfiniteSitesCharacterMatrix.as_string``
-..........................................
-(:meth:`method reference <dendropy.datamodel.charmatrixmodel.InfiniteSitesCharacterMatrix.as_string>`)
-
-.. literalinclude:: /schemas/interfaces/phylip_as_string.py
-
-
-``StandardCharacterMatrix.write``
-.................................
-(:meth:`method reference <dendropy.datamodel.charmatrixmodel.StandardCharacterMatrix.write>`)
-
-.. literalinclude:: /schemas/interfaces/phylip_write.py
-
-``StandardCharacterMatrix.as_string``
-.....................................
-(:meth:`method reference <dendropy.datamodel.charmatrixmodel.StandardCharacterMatrix.as_string>`)
-
-.. literalinclude:: /schemas/interfaces/phylip_as_string.py
-
-
-``DataSet.write``
-.................
-(:meth:`method reference <dendropy.datamodel.datasetmodel.DataSet.write>`)
-
-.. literalinclude:: /schemas/interfaces/phylip_write.py
-
-``DataSet.as_string``
-.....................
-(:meth:`method reference <dendropy.datamodel.datasetmodel.DataSet.as_string>`)
-
-.. literalinclude:: /schemas/interfaces/phylip_as_string.py
-

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