Getting ready for release 0.5.1

Author: FrancescAlted

.github/workflows/cibuildwheels.yml

@@ -61,7 +61,7 @@ jobs:
         run: |
           python -m pip install --upgrade pip
           python -m pip install -r requirements-build.txt
-          python -m pip install -r requirements-tests.txt
+          python -m pip install -r requirements-test-wheels.txt
 
       - name: Build wheels (Windows)
         if: runner.os == 'Windows'
@@ -72,7 +72,7 @@ jobs:
         env:
           CIBW_BUILD: 'cp38-win_amd64 cp39-win_amd64 cp310-win_amd64'
           CIBW_BEFORE_BUILD: python -m pip install -r requirements-build.txt
-          CIBW_BEFORE_TEST: python -m pip install -r requirements-tests.txt
+          CIBW_BEFORE_TEST: python -m pip install -r requirements-test-wheels.txt
           CIBW_TEST_COMMAND: python -m pytest -m "not heavy" {project}/tests
           CIBW_BUILD_VERBOSITY: 1
 
@@ -87,7 +87,7 @@ jobs:
           CIBW_SKIP: '*-manylinux*_i686'
           CIBW_ARCHS_LINUX: ${{ matrix.arch }}
           CIBW_BEFORE_BUILD: python -m pip install -r requirements-build.txt
-          CIBW_BEFORE_TEST: python -m pip install -r requirements-tests.txt
+          CIBW_BEFORE_TEST: python -m pip install -r requirements-test-wheels.txt
           CIBW_TEST_COMMAND: python -m pytest -m "not heavy" {project}/tests
           CIBW_BUILD_VERBOSITY: 1
 

RELEASE_NOTES.md

@@ -1,5 +1,10 @@
 # Release notes
 
+## Changes from 0.5.0 to 0.5.1
+
+* Remove the testing of packing PyTorch or TensorFlow objects during wheels build.
+
+
 ## Changes from 0.4.1 to 0.5.0
 
 * New `pack_tensor`, `unpack_tensor`, `save_tensor` and `load_tensor` functions for serializing/deserializing PyTorch and TensorFlow tensor objects.  They also understand NumPy arrays, so these are the new recommended ones for serialization.

VERSION

@@ -1 +1 @@
-0.5.0
+0.5.1

blosc2/core.py

@@ -583,10 +583,10 @@ def pack_tensor(tensor, chunksize=None, **kwargs):
 
     Examples
     --------
-    >>> import torch
-    >>> th = torch.arange(1e6, dtype=torch.float32)
+    >>> import numpy as np
+    >>> th = np.arange(1e6, dtype=np.float32)
     >>> cframe = blosc2.pack_tensor(th)
-    >>> len(cframe) < th.size()[0] * 4
+    >>> len(cframe) < th.size * th.itemsize
     True
 
     See also
@@ -680,11 +680,10 @@ def unpack_tensor(cframe):
 
     Examples
     --------
-    >>> import torch
     >>> import numpy as np
-    >>> th = torch.arange(1e3, dtype=torch.float32)
+    >>> th = np.arange(1e3, dtype=np.float32)
     >>> cframe = blosc2.pack_tensor(th)
-    >>> len(cframe) < th.size()[0] * 4
+    >>> len(cframe) < th.size * th.itemsize
     True
     >>> th2 = blosc2.unpack_tensor(cframe)
     >>> a = np.asarray(th)
@@ -728,10 +727,10 @@ def save_tensor(tensor, urlpath, chunksize=None, **kwargs):
 
     Examples
     --------
-    >>> import torch
-    >>> th = torch.arange(1e6, dtype=torch.float32)
+    >>> import numpy as np
+    >>> th = np.arange(1e6, dtype=np.float32)
     >>> serial_size = blosc2.save_tensor(th, "test.bl2", mode="w")
-    >>> serial_size < th.size()[0] * 4
+    >>> serial_size < th.size * th.itemsize
     True
 
     See also
@@ -766,13 +765,12 @@ def load_tensor(urlpath):
     Examples
     --------
     >>> import numpy as np
-    >>> import torch
-    >>> th = torch.arange(1e6, dtype=torch.float32)
+    >>> th = np.arange(1e6, dtype=np.float32)
     >>> size = blosc2.save_tensor(th, "test.bl2", mode="w")
-    >>> size < th.size()[0] * 4
+    >>> size < th.size * th.itemsize
     True
     >>> th2 = blosc2.load_tensor("test.bl2")
-    >>> np.array_equal(th.numpy(), th2.numpy())
+    >>> np.array_equal(th, th2)
     True
 
     See also

requirements-test-wheels.txt

@@ -0,0 +1,5 @@
+pip
+numpy
+pytest
+psutil
+msgpack

tests/test_array.py tests/test_tensor.pytests/test_array.py renamed to tests/test_tensor.py

@@ -8,8 +8,12 @@
 import numpy as np
 import pytest
 import blosc2
-import torch
-import tensorflow as tf
+
+try:
+    import torch
+    import tensorflow as tf
+except ImportError:
+    pytest.skip("skipping torch / tensorflow tests", allow_module_level=True)
 
 
 ##### pack / unpack  #####