[python-hdf5storage] 76/152: Fixed bug in decoding 3d and higher dimensionality arrays of numpy string types when encoded as uints.

[Ghislain Vaillant]

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ghisvail-guest pushed a commit to annotated tag 0.1
in repository python-hdf5storage.

commit 1b3f53e2ef98bc20758ff8e170e2ba0289402044
Author: Freja Nordsiek <fnordsie at gmail.com>
Date:   Sun Feb 2 00:18:47 2014 -0500

    Fixed bug in decoding 3d and higher dimensionality arrays of numpy string types when encoded as uints.
---
 hdf5storage/utilities.py | 4 ++--
 1 file changed, 2 insertions(+), 2 deletions(-)

diff --git a/hdf5storage/utilities.py b/hdf5storage/utilities.py
index db0ba1d..8daeb31 100644
--- a/hdf5storage/utilities.py
+++ b/hdf5storage/utilities.py
@@ -226,7 +226,7 @@ def decode_to_numpy_unicode(data, length=None):
             if length is None:
                 length = shape[1]
             new_shape = shape.copy()
-            new_shape[1] //= length
+            new_shape[-1] //= length
 
         # The new array can be made as all zeros (nulls) with enough
         # padding to hold everything (dtype='UL' where 'L' is the
@@ -357,7 +357,7 @@ def decode_to_numpy_ascii(data, length=None):
             if length is None:
                 length = shape[1]
             new_shape = shape.copy()
-            new_shape[1] //= length
+            new_shape[-1] //= length
 
         # The new array can be made as all zeros (nulls) with enough
         # padding to hold everything (dtype='UL' where 'L' is the

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