[python-hdf5storage] 64/152: Fixed bugs in numpy bools not being converted back to book from uint8 correctly.
Ghislain Vaillant
ghisvail-guest at moszumanska.debian.org
Mon Feb 29 08:24:35 UTC 2016
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ghisvail-guest pushed a commit to annotated tag 0.1
in repository python-hdf5storage.
commit 452ba799c3f0f6ebafbf1ff702ef4bb9368da012
Author: Freja Nordsiek <fnordsie at gmail.com>
Date: Thu Jan 30 00:55:05 2014 -0500
Fixed bugs in numpy bools not being converted back to book from uint8 correctly.
---
hdf5storage/Marshallers.py | 12 ++++++------
1 file changed, 6 insertions(+), 6 deletions(-)
diff --git a/hdf5storage/Marshallers.py b/hdf5storage/Marshallers.py
index 13c6a81..aa44930 100644
--- a/hdf5storage/Marshallers.py
+++ b/hdf5storage/Marshallers.py
@@ -643,6 +643,12 @@ class NumpyScalarArrayMarshaller(TypeMarshaller):
if underlying_type.startswith('complex'):
data = decode_complex(data)
+ # If its underlying type is 'bool' but it is something else,
+ # then it needs to be converted (means it was written with
+ # the convert_bools_to_uint8 option).
+ if underlying_type == 'bool' and data.dtype.name != 'bool':
+ data = np.bool_(data)
+
# If MATLAB attributes are present or the reverse dimension
# order option was given, the dimension order needs to be
# reversed. This needs to be done before any reshaping as
@@ -658,12 +664,6 @@ class NumpyScalarArrayMarshaller(TypeMarshaller):
and np.prod(shape) == np.prod(data.shape):
data = data.reshape(tuple(shape))
- # If its underlying type is 'bool' but it is something else,
- # then it needs to be converted (means it was written with
- # the convert_bools_to_uint8 option).
- if underlying_type == 'bool8' and data.dtype.name != 'bool':
- data = np.bool_(data)
-
# Convert to scalar, matrix, or ndarray depending on the
# container type. For an empty scalar string, it needs to be
# manually set to '' and b'' or there will be problems.
--
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