forked from pool/python-hdf5storage
Accepting request 1199622 from devel:languages:python:numeric
OBS-URL: https://build.opensuse.org/request/show/1199622 OBS-URL: https://build.opensuse.org/package/show/openSUSE:Factory/python-hdf5storage?expand=0&rev=6
This commit is contained in:
commit
ab70a240cd
226
hdf5storage-pr134-numpy2.patch
Normal file
226
hdf5storage-pr134-numpy2.patch
Normal file
@ -0,0 +1,226 @@
|
|||||||
|
From 9814bc28874a56757e16479186523b2b77d5c553 Mon Sep 17 00:00:00 2001
|
||||||
|
From: Jesse R Codling <codling@umich.edu>
|
||||||
|
Date: Wed, 14 Aug 2024 12:34:47 -0400
|
||||||
|
Subject: [PATCH 2/3] Numpy 2.0: Remove all np.unicode_ for np.str_
|
||||||
|
|
||||||
|
---
|
||||||
|
doc/source/storage_format.rst | 6 ++--
|
||||||
|
pyproject.toml | 2 +-
|
||||||
|
hdf5storage/Marshallers.py | 20 +++++++------
|
||||||
|
hdf5storage/__init__.py | 6 ++--
|
||||||
|
hdf5storage/utilities.py | 40 ++++++++++++-------------
|
||||||
|
tests/asserts.py | 14 ++++-----
|
||||||
|
tests/make_randoms.py | 4 +--
|
||||||
|
tests/test_dict_like_storage_methods.py | 6 ++--
|
||||||
|
tests/test_str_conv_utils.py | 8 ++---
|
||||||
|
tests/test_string_utf16_conversion.py | 4 +--
|
||||||
|
tests/test_write_readback.py | 6 ++--
|
||||||
|
11 files changed, 59 insertions(+), 57 deletions(-)
|
||||||
|
|
||||||
|
Index: hdf5storage-0.1.19/tests/make_randoms.py
|
||||||
|
===================================================================
|
||||||
|
--- hdf5storage-0.1.19.orig/tests/make_randoms.py
|
||||||
|
+++ hdf5storage-0.1.19/tests/make_randoms.py
|
||||||
|
@@ -156,7 +156,7 @@ def random_numpy(shape, dtype, allow_nan
|
||||||
|
chars = random_str_some_unicode(length)
|
||||||
|
else:
|
||||||
|
chars = random_str_ascii(length)
|
||||||
|
- data[index] = np.unicode_(chars)
|
||||||
|
+ data[index] = np.str_(chars)
|
||||||
|
return data
|
||||||
|
elif dtype == 'object':
|
||||||
|
data = np.zeros(shape=shape, dtype='object')
|
||||||
|
Index: hdf5storage-0.1.19/tests/test_string_utf16_conversion.py
|
||||||
|
===================================================================
|
||||||
|
--- hdf5storage-0.1.19.orig/tests/test_string_utf16_conversion.py
|
||||||
|
+++ hdf5storage-0.1.19/tests/test_string_utf16_conversion.py
|
||||||
|
@@ -44,12 +44,12 @@ import pytest
|
||||||
|
# convert_numpy_str_to_utf16 option is set.
|
||||||
|
#
|
||||||
|
# * str
|
||||||
|
-# * numpy.unicode_ scalars
|
||||||
|
+# * numpy.str_ scalars
|
||||||
|
|
||||||
|
if sys.hexversion < 0x3000000:
|
||||||
|
- tps_tuple = (unicode, np.unicode_)
|
||||||
|
+ tps_tuple = (unicode, np.str_)
|
||||||
|
else:
|
||||||
|
- tps_tuple = (str, np.unicode_)
|
||||||
|
+ tps_tuple = (str, np.str_)
|
||||||
|
|
||||||
|
|
||||||
|
@pytest.mark.parametrize("tp", tps_tuple)
|
||||||
|
Index: hdf5storage-0.1.19/hdf5storage/Marshallers.py
|
||||||
|
===================================================================
|
||||||
|
--- hdf5storage-0.1.19.orig/hdf5storage/Marshallers.py
|
||||||
|
+++ hdf5storage-0.1.19/hdf5storage/Marshallers.py
|
||||||
|
@@ -480,7 +480,7 @@ class NumpyScalarArrayMarshaller(TypeMar
|
||||||
|
'MATLAB_int_decode',
|
||||||
|
'MATLAB_fields'])
|
||||||
|
# As np.str_ is the unicode type string in Python 3 and the bare
|
||||||
|
- # bytes string in Python 2, we have to use np.unicode_ which is
|
||||||
|
+ # bytes string in Python 2, we have to use np.str_ which is
|
||||||
|
# or points to the unicode one in both versions.
|
||||||
|
self.types = [np.ndarray, np.matrix,
|
||||||
|
np.chararray, np.core.records.recarray,
|
||||||
|
@@ -489,7 +489,7 @@ class NumpyScalarArrayMarshaller(TypeMar
|
||||||
|
np.int8, np.int16, np.int32, np.int64,
|
||||||
|
np.float32, np.float64,
|
||||||
|
np.complex64, np.complex128,
|
||||||
|
- np.bytes_, np.unicode_, np.object_]
|
||||||
|
+ np.bytes_, np.str_, np.object_]
|
||||||
|
self._numpy_types = list(self.types)
|
||||||
|
# Using Python 3 type strings.
|
||||||
|
self.python_type_strings = ['numpy.ndarray', 'numpy.matrix',
|
||||||
|
@@ -525,7 +525,7 @@ class NumpyScalarArrayMarshaller(TypeMar
|
||||||
|
np.complex64: 'single',
|
||||||
|
np.complex128: 'double',
|
||||||
|
np.bytes_: 'char',
|
||||||
|
- np.unicode_: 'char',
|
||||||
|
+ np.str_: 'char',
|
||||||
|
np.object_: 'cell'}
|
||||||
|
|
||||||
|
# Make a dict to look up the opposite direction (given a matlab
|
||||||
|
@@ -542,7 +542,7 @@ class NumpyScalarArrayMarshaller(TypeMar
|
||||||
|
'int64': np.int64,
|
||||||
|
'single': np.float32,
|
||||||
|
'double': np.float64,
|
||||||
|
- 'char': np.unicode_,
|
||||||
|
+ 'char': np.str_,
|
||||||
|
'cell': np.object_,
|
||||||
|
'canonical empty': np.float64,
|
||||||
|
'struct': np.object_}
|
||||||
|
@@ -601,18 +601,7 @@ class NumpyScalarArrayMarshaller(TypeMar
|
||||||
|
raise NotImplementedError( \
|
||||||
|
'Can''t write non-ASCII numpy.bytes_.')
|
||||||
|
|
||||||
|
- # As of 2013-12-13, h5py cannot write numpy.str_ (UTF-32
|
||||||
|
- # encoding) types (its numpy.unicode_ in Python 2, which is an
|
||||||
|
- # alias for it in Python 3). If the option is set to try to
|
||||||
|
- # convert them to UTF-16, then an attempt at the conversion is
|
||||||
|
- # made. If no conversion is to be done, the conversion throws an
|
||||||
|
- # exception (a UTF-32 character had no UTF-16 equivalent), or a
|
||||||
|
- # UTF-32 character gets turned into a UTF-16 doublet (the
|
||||||
|
- # increase in the number of columns will be by a factor more
|
||||||
|
- # than the length of the strings); then it will be simply
|
||||||
|
- # converted to uint32's byte for byte instead.
|
||||||
|
-
|
||||||
|
- if data.dtype.type == np.unicode_:
|
||||||
|
+ if data.dtype.type == np.str_:
|
||||||
|
new_data = None
|
||||||
|
if options.convert_numpy_str_to_utf16:
|
||||||
|
try:
|
||||||
|
@@ -620,7 +609,7 @@ class NumpyScalarArrayMarshaller(TypeMar
|
||||||
|
data_to_store)
|
||||||
|
except:
|
||||||
|
pass
|
||||||
|
- if new_data is None or (type(data_to_store) == np.unicode_ \
|
||||||
|
+ if new_data is None or (type(data_to_store) == np.str_ \
|
||||||
|
and len(data_to_store) != len(new_data)) \
|
||||||
|
or (isinstance(data_to_store, np.ndarray) \
|
||||||
|
and new_data.shape[-1] != data_to_store.shape[-1] \
|
||||||
|
@@ -1049,7 +1038,7 @@ class NumpyScalarArrayMarshaller(TypeMar
|
||||||
|
str_attrs[attr_name] = value
|
||||||
|
elif isinstance(value, bytes):
|
||||||
|
str_attrs[attr_name] = value.decode()
|
||||||
|
- elif isinstance(value, np.unicode_):
|
||||||
|
+ elif isinstance(value, np.str_):
|
||||||
|
str_attrs[attr_name] = str(value)
|
||||||
|
elif isinstance(value, np.bytes_):
|
||||||
|
str_attrs[attr_name] = value.decode()
|
||||||
|
@@ -1313,7 +1302,7 @@ class NumpyScalarArrayMarshaller(TypeMar
|
||||||
|
elif underlying_type.startswith('str') \
|
||||||
|
or matlab_class == 'char':
|
||||||
|
if underlying_type == 'str':
|
||||||
|
- data = np.unicode_('')
|
||||||
|
+ data = np.str_('')
|
||||||
|
elif underlying_type.startswith('str'):
|
||||||
|
data = convert_to_numpy_str(data, \
|
||||||
|
length=int(underlying_type[3:])//32)
|
||||||
|
@@ -1344,7 +1333,7 @@ class NumpyScalarArrayMarshaller(TypeMar
|
||||||
|
data = data.flatten()[0]
|
||||||
|
elif underlying_type.startswith('str'):
|
||||||
|
if python_empty == 1:
|
||||||
|
- data = np.unicode_('')
|
||||||
|
+ data = np.str_('')
|
||||||
|
elif isinstance(data, np.ndarray):
|
||||||
|
data = data.flatten()[0]
|
||||||
|
else:
|
||||||
|
@@ -1511,7 +1500,7 @@ class PythonStringMarshaller(NumpyScalar
|
||||||
|
if (sys.hexversion >= 0x03000000 and isinstance(data, str)) \
|
||||||
|
or (sys.hexversion < 0x03000000 \
|
||||||
|
and isinstance(data, unicode)):
|
||||||
|
- cdata = np.unicode_(data)
|
||||||
|
+ cdata = np.str_(data)
|
||||||
|
else:
|
||||||
|
cdata = np.bytes_(data)
|
||||||
|
|
||||||
|
Index: hdf5storage-0.1.19/hdf5storage/utilities.py
|
||||||
|
===================================================================
|
||||||
|
--- hdf5storage-0.1.19.orig/hdf5storage/utilities.py
|
||||||
|
+++ hdf5storage-0.1.19/hdf5storage/utilities.py
|
||||||
|
@@ -408,7 +408,7 @@ def convert_to_str(data):
|
||||||
|
# assuming it is in UTF-8. Otherwise, data has to be returned as is.
|
||||||
|
|
||||||
|
if isinstance(data, (np.ndarray, np.uint8, np.uint16, np.uint32,
|
||||||
|
- np.bytes_, np.unicode_)):
|
||||||
|
+ np.bytes_, np.str_)):
|
||||||
|
if data.dtype.name == 'uint8':
|
||||||
|
return numpy_to_bytes(data.flatten()).decode('UTF-8')
|
||||||
|
elif data.dtype.name == 'uint16':
|
||||||
|
@@ -477,7 +477,7 @@ def convert_to_numpy_str(data, length=No
|
||||||
|
|
||||||
|
"""
|
||||||
|
# The method of conversion depends on its type.
|
||||||
|
- if isinstance(data, np.unicode_) or (isinstance(data, np.ndarray) \
|
||||||
|
+ if isinstance(data, np.str_) or (isinstance(data, np.ndarray) \
|
||||||
|
and data.dtype.char == 'U'):
|
||||||
|
# It is already an np.str_ or array of them, so nothing needs to
|
||||||
|
# be done.
|
||||||
|
@@ -486,16 +486,16 @@ def convert_to_numpy_str(data, length=No
|
||||||
|
or (sys.hexversion < 0x03000000 \
|
||||||
|
and isinstance(data, unicode)):
|
||||||
|
# Easily converted through constructor.
|
||||||
|
- return np.unicode_(data)
|
||||||
|
+ return np.str_(data)
|
||||||
|
elif isinstance(data, (bytes, bytearray, np.bytes_)):
|
||||||
|
# All of them can be decoded and then passed through the
|
||||||
|
# constructor.
|
||||||
|
- return np.unicode_(data.decode('UTF-8'))
|
||||||
|
+ return np.str_(data.decode('UTF-8'))
|
||||||
|
elif isinstance(data, (np.uint8, np.uint16)):
|
||||||
|
# They are single UTF-8 or UTF-16 scalars, and are easily
|
||||||
|
# converted to a UTF-8 string and then passed through the
|
||||||
|
# constructor.
|
||||||
|
- return np.unicode_(convert_to_str(data))
|
||||||
|
+ return np.str_(convert_to_str(data))
|
||||||
|
elif isinstance(data, np.uint32):
|
||||||
|
# It is just the uint32 version of the character, so it just
|
||||||
|
# needs to be have the dtype essentially changed by having its
|
||||||
|
@@ -507,7 +507,7 @@ def convert_to_numpy_str(data, length=No
|
||||||
|
new_data = np.zeros(shape=data.shape,
|
||||||
|
dtype='U' + str(data.dtype.itemsize))
|
||||||
|
for index, x in np.ndenumerate(data):
|
||||||
|
- new_data[index] = np.unicode_(x.decode('UTF-8'))
|
||||||
|
+ new_data[index] = np.str_(x.decode('UTF-8'))
|
||||||
|
return new_data
|
||||||
|
elif isinstance(data, np.ndarray) \
|
||||||
|
and data.dtype.name in ('uint8', 'uint16', 'uint32'):
|
||||||
|
@@ -559,7 +559,7 @@ def convert_to_numpy_str(data, length=No
|
||||||
|
dtype=new_data.dtype,
|
||||||
|
buffer=numpy_to_bytes(chunk))[()]
|
||||||
|
else:
|
||||||
|
- new_data[i] = np.unicode_(convert_to_str(chunk))
|
||||||
|
+ new_data[i] = np.str_(convert_to_str(chunk))
|
||||||
|
|
||||||
|
# Only thing is left is to reshape it.
|
||||||
|
return new_data.reshape(tuple(new_shape))
|
||||||
|
@@ -896,7 +896,7 @@ def get_attribute_string(target, name):
|
||||||
|
return value
|
||||||
|
elif isinstance(value, bytes):
|
||||||
|
return value.decode()
|
||||||
|
- elif isinstance(value, np.unicode_):
|
||||||
|
+ elif isinstance(value, np.str_):
|
||||||
|
return str(value)
|
||||||
|
elif isinstance(value, np.bytes_):
|
||||||
|
return value.decode()
|
@ -1,3 +1,11 @@
|
|||||||
|
-------------------------------------------------------------------
|
||||||
|
Fri Aug 30 13:11:44 UTC 2024 - Ben Greiner <code@bnavigator.de>
|
||||||
|
|
||||||
|
- Unpin numpy 2
|
||||||
|
* Add hdf5storage-pr134-numpy2.patch
|
||||||
|
* gh#frejanordsiek/hdf5storage#134 (backported)
|
||||||
|
- Make it noarch again
|
||||||
|
|
||||||
-------------------------------------------------------------------
|
-------------------------------------------------------------------
|
||||||
Sun Jul 7 12:31:47 UTC 2024 - Ben Greiner <code@bnavigator.de>
|
Sun Jul 7 12:31:47 UTC 2024 - Ben Greiner <code@bnavigator.de>
|
||||||
|
|
||||||
|
@ -1,7 +1,7 @@
|
|||||||
#
|
#
|
||||||
# spec file for package python-hdf5storage
|
# spec file for package python-hdf5storage
|
||||||
#
|
#
|
||||||
# Copyright (c) 2023 SUSE LLC
|
# Copyright (c) 2024 SUSE LLC
|
||||||
#
|
#
|
||||||
# All modifications and additions to the file contributed by third parties
|
# All modifications and additions to the file contributed by third parties
|
||||||
# remain the property of their copyright owners, unless otherwise agreed
|
# remain the property of their copyright owners, unless otherwise agreed
|
||||||
@ -23,12 +23,15 @@ Summary: Utilities to read/write HDF5 files, including MATLAB v7.3 MAT fi
|
|||||||
License: BSD-3-Clause
|
License: BSD-3-Clause
|
||||||
URL: https://github.com/frejanordsiek/hdf5storage
|
URL: https://github.com/frejanordsiek/hdf5storage
|
||||||
Source: https://files.pythonhosted.org/packages/source/h/hdf5storage/hdf5storage-%{version}.tar.gz
|
Source: https://files.pythonhosted.org/packages/source/h/hdf5storage/hdf5storage-%{version}.tar.gz
|
||||||
# PATCH-FIX-UPSTREAM nose-to-pytest.patch gh#frejanordsiek/hdf5storage#96 mcepl@suse.com
|
# PATCH-FIX-UPSTREAM nose-to-pytest.patch gh#frejanordsiek/hdf5storage#96 mcepl@suse.com, uses pytest instead of nose
|
||||||
# uses pytest instead of nose
|
|
||||||
Patch0: nose-to-pytest.patch
|
Patch0: nose-to-pytest.patch
|
||||||
|
# PATCH-FIX-UPSTREAM hdf5storage-pr134-numpy2.patch gh#frejanordsiek/hdf5storage#135 (backport to 0.1)
|
||||||
|
Patch1: hdf5storage-pr134-numpy2.patch
|
||||||
BuildRequires: %{python_module h5py >= 3.3}
|
BuildRequires: %{python_module h5py >= 3.3}
|
||||||
BuildRequires: %{python_module numpy < 2}
|
BuildRequires: %{python_module numpy}
|
||||||
|
BuildRequires: %{python_module pip}
|
||||||
BuildRequires: %{python_module setuptools}
|
BuildRequires: %{python_module setuptools}
|
||||||
|
BuildRequires: %{python_module wheel}
|
||||||
BuildRequires: fdupes
|
BuildRequires: fdupes
|
||||||
BuildRequires: python-rpm-macros
|
BuildRequires: python-rpm-macros
|
||||||
# SECTION test requirements
|
# SECTION test requirements
|
||||||
@ -38,11 +41,9 @@ BuildRequires: %{python_module parameterized}
|
|||||||
BuildRequires: %{python_module scipy}
|
BuildRequires: %{python_module scipy}
|
||||||
# /SECTION
|
# /SECTION
|
||||||
Requires: python-h5py >= 3.3
|
Requires: python-h5py >= 3.3
|
||||||
Requires: python-numpy < 2
|
Requires: python-numpy
|
||||||
Recommends: python-scipy
|
Recommends: python-scipy
|
||||||
# This pure python package uses ctypes only suited for 64-bit. The tests segfault on 32-bit in libc memmove
|
BuildArch: noarch
|
||||||
# gh#frejanordsiek/hdf5storage#109
|
|
||||||
ExcludeArch: %ix86 %arm
|
|
||||||
%python_subpackages
|
%python_subpackages
|
||||||
|
|
||||||
%description
|
%description
|
||||||
@ -58,10 +59,10 @@ extra meta-data.
|
|||||||
sed -i 's/\r$//' COPYING.txt
|
sed -i 's/\r$//' COPYING.txt
|
||||||
|
|
||||||
%build
|
%build
|
||||||
%python_build
|
%pyproject_wheel
|
||||||
|
|
||||||
%install
|
%install
|
||||||
%python_install
|
%pyproject_install
|
||||||
%python_expand %fdupes %{buildroot}%{$python_sitelib}
|
%python_expand %fdupes %{buildroot}%{$python_sitelib}
|
||||||
|
|
||||||
%check
|
%check
|
||||||
@ -71,6 +72,6 @@ sed -i 's/\r$//' COPYING.txt
|
|||||||
%doc README.rst
|
%doc README.rst
|
||||||
%license COPYING.txt
|
%license COPYING.txt
|
||||||
%{python_sitelib}/hdf5storage/
|
%{python_sitelib}/hdf5storage/
|
||||||
%{python_sitelib}/hdf5storage-%{version}-py*.egg-info
|
%{python_sitelib}/hdf5storage-%{version}.dist-info
|
||||||
|
|
||||||
%changelog
|
%changelog
|
||||||
|
Loading…
Reference in New Issue
Block a user