[python-hdf5storage] 34/152: Removed quad support as h5py doesn't support them.

Ghislain Vaillant ghisvail-guest at moszumanska.debian.org
Mon Feb 29 08:24:31 UTC 2016


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

commit 1dd5482ee826ba0ad6d33a3b5e9a142bc558c9bd
Author: Freja Nordsiek <fnordsie at gmail.com>
Date:   Sun Jan 26 19:44:27 2014 -0500

    Removed quad support as h5py doesn't support them.
---
 hdf5storage/Marshallers.py | 7 +++----
 1 file changed, 3 insertions(+), 4 deletions(-)

diff --git a/hdf5storage/Marshallers.py b/hdf5storage/Marshallers.py
index 3337554..87ebf77 100644
--- a/hdf5storage/Marshallers.py
+++ b/hdf5storage/Marshallers.py
@@ -294,8 +294,8 @@ class NumpyScalarArrayMarshaller(TypeMarshaller):
                       np.bool8,
                       np.uint8, np.uint16, np.uint32, np.uint64,
                       np.int8, np.int16, np.int32, np.int64,
-                      np.float16, np.float32, np.float64, np.float128,
-                      np.complex64, np.complex128, np.complex256,
+                      np.float16, np.float32, np.float64,
+                      np.complex64, np.complex128,
                       np.string_, np.unicode]
         self.cpython_type_strings = ['numpy.ndarray', 'numpy.matrix',
                                      'numpy.bool8',
@@ -304,10 +304,9 @@ class NumpyScalarArrayMarshaller(TypeMarshaller):
                                      'numpy.int8', 'numpy.int16',
                                      'numpy.int32', 'numpy.int64',
                                      'numpy.float16', 'numpy.float32',
-                                     'numpy.float64', 'numpy.float128',
+                                     'numpy.float64',
                                      'numpy.complex64',
                                      'numpy.complex128',
-                                     'numpy.complex256',
                                      'numpy.string_', 'numpy.unicode']
 
         # If we are storing in MATLAB format, we will need to be able to

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