[med-svn] [python-mne] 196/376: MISC : s/from_/from/g + some pep8

Yaroslav Halchenko debian at onerussian.com
Fri Nov 27 17:22:36 UTC 2015


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yoh pushed a commit to annotated tag v0.1
in repository python-mne.

commit 879debc2bc9c635da801f2acfb9a2d5385a315d5
Author: Alexandre Gramfort <alexandre.gramfort at inria.fr>
Date:   Thu Apr 14 17:41:04 2011 -0400

    MISC : s/from_/from/g + some pep8
---
 mne/fiff/meas_info.py | 80 +++++++++++++++++++++++++--------------------------
 mne/fiff/tag.py       |  2 +-
 mne/fiff/write.py     |  2 +-
 mne/forward.py        | 32 +++++++++++----------
 mne/inverse.py        |  4 +--
 mne/transforms.py     | 62 ++++++++++++++++++++-------------------
 6 files changed, 93 insertions(+), 89 deletions(-)

diff --git a/mne/fiff/meas_info.py b/mne/fiff/meas_info.py
index 61c4b29..52898a6 100755
--- a/mne/fiff/meas_info.py
+++ b/mne/fiff/meas_info.py
@@ -41,16 +41,16 @@ def read_meas_info(fid, tree):
     #   Find the desired blocks
     meas = dir_tree_find(tree, FIFF.FIFFB_MEAS)
     if len(meas) == 0:
-        raise ValueError, 'Could not find measurement data'
+        raise ValueError('Could not find measurement data')
     if len(meas) > 1:
-        raise ValueError, 'Cannot read more that 1 measurement data'
+        raise ValueError('Cannot read more that 1 measurement data')
     meas = meas[0]
 
     meas_info = dir_tree_find(meas, FIFF.FIFFB_MEAS_INFO)
     if len(meas_info) == 0:
-        raise ValueError, 'Could not find measurement info'
+        raise ValueError('Could not find measurement info')
     if len(meas_info) > 1:
-        raise ValueError, 'Cannot read more that 1 measurement info'
+        raise ValueError('Cannot read more that 1 measurement info')
     meas_info = meas_info[0]
 
     #   Read measurement info
@@ -88,72 +88,72 @@ def read_meas_info(fid, tree):
         elif kind == FIFF.FIFF_COORD_TRANS:
             tag = read_tag(fid, pos)
             cand = tag.data
-            if cand['from_'] == FIFF.FIFFV_COORD_DEVICE and \
-                                cand['to'] == FIFF.FIFFV_COORD_HEAD: # XXX : from
+            if cand['from'] == FIFF.FIFFV_COORD_DEVICE and \
+                                cand['to'] == FIFF.FIFFV_COORD_HEAD:
                 dev_head_t = cand
-            elif cand['from_'] == FIFF.FIFFV_MNE_COORD_CTF_HEAD and \
+            elif cand['from'] == FIFF.FIFFV_MNE_COORD_CTF_HEAD and \
                                 cand['to'] == FIFF.FIFFV_COORD_HEAD:
                 ctf_head_t = cand
 
     # Check that we have everything we need
     if nchan is None:
-       raise ValueError, 'Number of channels in not defined'
+        raise ValueError('Number of channels in not defined')
 
     if sfreq is None:
-        raise ValueError, 'Sampling frequency is not defined'
+        raise ValueError('Sampling frequency is not defined')
 
     if len(chs) == 0:
-        raise ValueError, 'Channel information not defined'
+        raise ValueError('Channel information not defined')
 
     if len(chs) != nchan:
-        raise ValueError, 'Incorrect number of channel definitions found'
+        raise ValueError('Incorrect number of channel definitions found')
 
     if dev_head_t is None or ctf_head_t is None:
         hpi_result = dir_tree_find(meas_info, FIFF.FIFFB_HPI_RESULT)
         if len(hpi_result) == 1:
             hpi_result = hpi_result[0]
             for k in range(hpi_result.nent):
-               kind = hpi_result.directory[k].kind
-               pos  = hpi_result.directory[k].pos
-               if kind == FIFF.FIFF_COORD_TRANS:
+                kind = hpi_result.directory[k].kind
+                pos = hpi_result.directory[k].pos
+                if kind == FIFF.FIFF_COORD_TRANS:
                     tag = read_tag(fid, pos)
-                    cand = tag.data;
-                    if cand.from_ == FIFF.FIFFV_COORD_DEVICE and \
-                                cand.to == FIFF.FIFFV_COORD_HEAD: # XXX: from
-                        dev_head_t = cand;
-                    elif cand.from_ == FIFF.FIFFV_MNE_COORD_CTF_HEAD and \
-                                cand.to == FIFF.FIFFV_COORD_HEAD:
-                        ctf_head_t = cand;
+                    cand = tag.data
+                    if cand['from'] == FIFF.FIFFV_COORD_DEVICE and \
+                                cand['to'] == FIFF.FIFFV_COORD_HEAD:
+                        dev_head_t = cand
+                    elif cand['from'] == FIFF.FIFFV_MNE_COORD_CTF_HEAD and \
+                                cand['to'] == FIFF.FIFFV_COORD_HEAD:
+                        ctf_head_t = cand
 
     #   Locate the Polhemus data
-    isotrak = dir_tree_find(meas_info,FIFF.FIFFB_ISOTRAK)
+    isotrak = dir_tree_find(meas_info, FIFF.FIFFB_ISOTRAK)
     if len(isotrak):
         isotrak = isotrak[0]
     else:
         if len(isotrak) == 0:
-            raise ValueError, 'Isotrak not found'
+            raise ValueError('Isotrak not found')
         if len(isotrak) > 1:
-            raise ValueError, 'Multiple Isotrak found'
+            raise ValueError('Multiple Isotrak found')
 
     dig = []
     if len(isotrak) == 1:
         for k in range(isotrak.nent):
-            kind = isotrak.directory[k].kind;
-            pos  = isotrak.directory[k].pos;
+            kind = isotrak.directory[k].kind
+            pos = isotrak.directory[k].pos
             if kind == FIFF.FIFF_DIG_POINT:
-                tag = read_tag(fid,pos);
+                tag = read_tag(fid, pos)
                 dig.append(tag.data)
                 dig[-1]['coord_frame'] = FIFF.FIFFV_COORD_HEAD
 
     #   Locate the acquisition information
-    acqpars = dir_tree_find(meas_info, FIFF.FIFFB_DACQ_PARS);
+    acqpars = dir_tree_find(meas_info, FIFF.FIFFB_DACQ_PARS)
     acq_pars = None
     acq_stim = None
     if len(acqpars) == 1:
         acqpars = acqpars[0]
         for k in range(acqpars.nent):
             kind = acqpars.directory[k].kind
-            pos  = acqpars.directory[k].pos
+            pos = acqpars.directory[k].pos
             if kind == FIFF.FIFF_DACQ_PARS:
                 tag = read_tag(fid, pos)
                 acq_pars = tag.data
@@ -174,9 +174,9 @@ def read_meas_info(fid, tree):
     #   Put the data together
     #
     if tree.id is not None:
-       info = dict(file_id=tree.id)
+        info = dict(file_id=tree.id)
     else:
-       info = dict(file_id=None)
+        info = dict(file_id=None)
 
     #  Make the most appropriate selection for the measurement id
     if meas_info.parent_id is None:
@@ -191,12 +191,12 @@ def read_meas_info(fid, tree):
         else:
             info['meas_id'] = meas_info.id
     else:
-       info['meas_id'] = meas_info.parent_id;
+        info['meas_id'] = meas_info.parent_id
 
     if meas_date is None:
-       info['meas_date'] = [info['meas_id']['secs'], info['meas_id']['usecs']]
+        info['meas_date'] = [info['meas_id']['secs'], info['meas_id']['usecs']]
     else:
-       info['meas_date'] = meas_date
+        info['meas_date'] = meas_date
 
     info['nchan'] = nchan
     info['sfreq'] = sfreq
@@ -205,7 +205,7 @@ def read_meas_info(fid, tree):
 
     #   Add the channel information and make a list of channel names
     #   for convenience
-    info['chs'] = chs;
+    info['chs'] = chs
     info['ch_names'] = [ch.ch_name for ch in chs]
 
     #
@@ -214,11 +214,12 @@ def read_meas_info(fid, tree):
     info['dev_head_t'] = dev_head_t
     info['ctf_head_t'] = ctf_head_t
     if dev_head_t is not None and ctf_head_t is not None:
-       info['dev_ctf_t'] = info['dev_head_t']
-       info['dev_ctf_t'].to = info['ctf_head_t'].from_ # XXX : see if better name
-       info['dev_ctf_t'].trans = np.dot(np.inv(ctf_head_t.trans), info.dev_ctf_t.trans)
+        info['dev_ctf_t'] = info['dev_head_t']
+        info['dev_ctf_t']['to'] = info['ctf_head_t']['from']
+        info['dev_ctf_t']['trans'] = np.dot(np.inv(ctf_head_t['trans']),
+                                        info['dev_ctf_t']['trans'])
     else:
-       info['dev_ctf_t'] = []
+        info['dev_ctf_t'] = []
 
     #   All kinds of auxliary stuff
     info['dig'] = dig
@@ -299,4 +300,3 @@ def write_meas_info(fid, info):
         end_block(fid, FIFF.FIFFB_MNE_BAD_CHANNELS)
 
     end_block(fid, FIFF.FIFFB_MEAS_INFO)
-
diff --git a/mne/fiff/tag.py b/mne/fiff/tag.py
index de91909..d3652ae 100755
--- a/mne/fiff/tag.py
+++ b/mne/fiff/tag.py
@@ -235,7 +235,7 @@ def read_tag(fid, pos=None):
                 tag.data['coord_frame'] = 0
             elif tag.type == FIFF.FIFFT_COORD_TRANS_STRUCT:
                 tag.data = Bunch()
-                tag.data['from_'] = int(np.fromfile(fid, dtype=">i4", count=1))
+                tag.data['from'] = int(np.fromfile(fid, dtype=">i4", count=1))
                 tag.data['to'] = int(np.fromfile(fid, dtype=">i4", count=1))
                 rot = np.fromfile(fid, dtype=">f4", count=9).reshape(3, 3)
                 move = np.fromfile(fid, dtype=">f4", count=3)
diff --git a/mne/fiff/write.py b/mne/fiff/write.py
index d96b6ff..51e0f61 100755
--- a/mne/fiff/write.py
+++ b/mne/fiff/write.py
@@ -184,7 +184,7 @@ def write_coord_trans(fid, trans):
     fid.write(np.array(FIFFT_COORD_TRANS_STRUCT, dtype='>i4').tostring())
     fid.write(np.array(data_size, dtype='>i4').tostring())
     fid.write(np.array(FIFFV_NEXT_SEQ, dtype='>i4').tostring())
-    fid.write(np.array(trans['from_'], dtype='>i4').tostring())
+    fid.write(np.array(trans['from'], dtype='>i4').tostring())
     fid.write(np.array(trans['to'], dtype='>i4').tostring())
 
     #   The transform...
diff --git a/mne/forward.py b/mne/forward.py
index d5ba2ce..28b08a2 100755
--- a/mne/forward.py
+++ b/mne/forward.py
@@ -22,19 +22,21 @@ def _block_diag(A, n):
 
     You have to try it on a matrix to see what it's doing.
 
-    %   If A is not sparse, then returns a sparse block diagonal "bd",
-    %   diagonalized from the
-    %   elements in "A".
-    %   "A" is ma x na, comprising bdn=(na/"n") blocks of submatrices.
-    %   Each submatrix is ma x "n", and these submatrices are
-    %   placed down the diagonal of the matrix.
-    %
-    %   If A is already sparse, then the operation is reversed, yielding
-    # a block
-    %   row matrix, where each set of n columns corresponds to a block element
-    %   from the block diagonal.
-    %
-    %   Routine uses NO for-loops for speed considerations.
+    If A is not sparse, then returns a sparse block diagonal "bd",
+    diagonalized from the
+    elements in "A".
+    "A" is ma x na, comprising bdn=(na/"n") blocks of submatrices.
+    Each submatrix is ma x "n", and these submatrices are
+    placed down the diagonal of the matrix.
+
+    If A is already sparse, then the operation is reversed, yielding
+    a block
+    row matrix, where each set of n columns corresponds to a block element
+    from the block diagonal.
+
+    Routine uses NO for-loops for speed considerations.
+
+    XXX : format doc
     """
     from scipy import sparse
 
@@ -294,10 +296,10 @@ def read_forward_solution(fname, force_fixed=False, surf_ori=False,
         raise ValueError, 'MRI/head coordinate transformation not found'
     else:
         mri_head_t = tag.data;
-        if (mri_head_t['from_'] != FIFF.FIFFV_COORD_MRI or
+        if (mri_head_t['from'] != FIFF.FIFFV_COORD_MRI or
                 mri_head_t['to'] != FIFF.FIFFV_COORD_HEAD):
             mri_head_t = invert_transform(mri_head_t)
-            if (mri_head_t['from_'] != FIFF.FIFFV_COORD_MRI
+            if (mri_head_t['from'] != FIFF.FIFFV_COORD_MRI
                 or mri_head_t['to'] != FIFF.FIFFV_COORD_HEAD):
                 fid.close()
                 raise ValueError, 'MRI/head coordinate transformation not ' \
diff --git a/mne/inverse.py b/mne/inverse.py
index e563b61..e7a596d 100755
--- a/mne/inverse.py
+++ b/mne/inverse.py
@@ -199,10 +199,10 @@ def read_inverse_operator(fname):
         raise ValueError('MRI/head coordinate transformation not found')
     else:
         mri_head_t = tag.data
-        if mri_head_t['from_'] != FIFF.FIFFV_COORD_MRI or \
+        if mri_head_t['from'] != FIFF.FIFFV_COORD_MRI or \
                         mri_head_t['to'] != FIFF.FIFFV_COORD_HEAD:
             mri_head_t = invert_transform(mri_head_t)
-            if mri_head_t['from_'] != FIFF.FIFFV_COORD_MRI or \
+            if mri_head_t['from'] != FIFF.FIFFV_COORD_MRI or \
                         mri_head_t['to'] != FIFF.FIFFV_COORD_HEAD:
                 fid.close()
                 raise ValueError('MRI/head coordinate transformation '
diff --git a/mne/transforms.py b/mne/transforms.py
index 80912aa..5de385d 100755
--- a/mne/transforms.py
+++ b/mne/transforms.py
@@ -2,44 +2,46 @@ import copy
 import numpy as np
 from scipy import linalg
 
-from .fiff import FIFF
-
+# from .fiff import FIFF
 
 def invert_transform(trans):
     """Invert a transformation between coordinate systems
     """
     itrans = copy.copy(trans)
-    aux = itrans['from_']
-    itrans['from_'] = itrans['to']
+    aux = itrans['from']
+    itrans['from'] = itrans['to']
     itrans['to'] = aux
     itrans['trans'] = linalg.inv(itrans['trans'])
     return itrans
 
 
 def transform_source_space_to(src, dest, trans):
-    """
-    %
-    % [res] = mne_transform_source_space_to(src,dest,trans)
-    %
-    % Transform source space data to the desired coordinate system
-    %
-    % fname      - The name of the file
-    % include    - Include these channels (optional)
-    % exclude    - Exclude these channels (optional)
-    %
+    """Transform source space data to the desired coordinate system
+
+    Parameters
+    ----------
+    src : dict
+        Source space
+    dest : dict
+        destination coordinate system
+    trans : dict
+        Transformation
 
-    XXX
+    Returns
+    -------
+    res : dict
+        Transformed source space
     """
 
     if src['coord_frame'] == dest:
         res = src
         return res
 
-    if trans['to'] == src['coord_frame'] and trans['from_'] == dest:
+    if trans['to'] == src['coord_frame'] and trans['from'] == dest:
         trans = invert_transform(trans)
-    elif trans['from_'] != src['coord_frame'] or trans['to'] != dest:
-        raise ValueError, 'Cannot transform the source space using this ' \
-                          'coordinate transformation'
+    elif trans['from'] != src['coord_frame'] or trans['to'] != dest:
+        raise ValueError('Cannot transform the source space using this '
+                         'coordinate transformation')
 
     t = trans['trans'][:3,:]
     res = src
@@ -62,26 +64,26 @@ def transform_source_space_to(src, dest, trans):
 #     % loc which remains to reflect the original data read from the fif file
 #     %
 #     %
-# 
+#
 #     XXX
 #     """
-# 
+#
 #     res = copy.copy(chs)
-# 
+#
 #     count = 0
 #     t = trans['trans']
 #     for ch in res:
 #         if (ch['kind'] == FIFF.FIFFV_MEG_CH
 #                                     or ch['kind'] == FIFF.FIFFV_REF_MEG_CH):
-#             if (ch['coord_frame'] == trans['from_']
+#             if (ch['coord_frame'] == trans['from']
 #                                             and ch['coil_trans'] is not None):
 #                 ch['coil_trans'] = np.dot(t, ch['coil_trans'])
 #                 ch['coord_frame'] = trans['to']
 #                 count += 1
-# 
+#
 #     if count > 0:
 #         print '\t%d MEG channel locations transformed' % count
-# 
+#
 #     return res, count
 
 
@@ -96,11 +98,11 @@ def transform_source_space_to(src, dest, trans):
 #     % NOTE: Only the eeg_loc field is modified by this routine, not
 #     % loc which remains to reflect the original data read from the fif file
 #     %
-# 
+#
 #     XXX
 #     """
 #     res = copy.copy(chs)
-# 
+#
 #     count = 0
 #     #
 #     #   Output unaugmented vectors from the transformation
@@ -108,7 +110,7 @@ def transform_source_space_to(src, dest, trans):
 #     t = trans['trans'][:3,:]
 #     for ch in res:
 #         if ch['kind'] == FIFF.FIFFV_EEG_CH:
-#             if (ch['coord_frame'] == trans['from_']
+#             if (ch['coord_frame'] == trans['from']
 #                                             and ch['eeg_loc'] is not None):
 #                 #
 #                 # Transform the augmented EEG location vectors
@@ -118,8 +120,8 @@ def transform_source_space_to(src, dest, trans):
 #                                                 np.r_[ch['eeg_loc'][:,p], 1])
 #                 count += 1
 #                 ch['coord_frame'] = trans['to']
-# 
+#
 #     if count > 0:
 #         print '\t%d EEG electrode locations transformed\n' % count
-# 
+#
 #     return res, count

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