Feature/numpy2.0

.github/workflows/linux-conda.yml

@@ -16,7 +16,7 @@ jobs:
     strategy:
       max-parallel: 5
       matrix:
-        python-version: [3.8, 3.9, '3.10', '3.11', '3.12']
+        python-version: [3.9, '3.10', '3.11', '3.12']
     steps:
     - uses: actions/checkout@v4
     - name: Setup base conda for Python 3.11
@@ -50,7 +50,7 @@ jobs:
         eval "$($CONDA_EXE shell.bash activate test-environment)"
         which python
         cd cythonarrays
-        pip install sphinx sphinxcontrib-napoleon sphinx-autodoc-typehints 'mistune<2' m2r2
+        pip install sphinx sphinxcontrib-napoleon sphinx-autodoc-typehints 'mistune<2' m2r2 'docutils<0.20' pytest
         sphinx-apidoc -f --separate -o docs_rst/cythonarrays src/cythonarrays
         sphinx-build docs_rst ../docs
 

CHANGELOG.md

@@ -0,0 +1,34 @@
+# Changelog
+
+
+## [Unreleased]
+
+### Added
+
+
+### Changed
+
+
+### Removed
+
+
+## [1.6.2] - 2024-08-19
+
+### Added
+
+- CHANGELOG.md
+
+### Fixed
+
+### Changed
+- update to numpy>=2.0
+- change definition of NINF_d etc.
+
+### Removed
+- support for python 3.8 (does not support numpy 2.0)
+
+
+
+[unreleased]: https://github.com/MaxBo/cythonarrays/compare/v1.6.2...HEAD
+[1.6.2]: https://github.com/MaxBo/cythonarrays/compare/v1.6.1...v1.6.2
+[1.6.1]: https://github.com/MaxBo/cythonarrays/releases/tag/v1.6.1

README.md

@@ -7,6 +7,8 @@
 # cythonarrays
 Python Packages to facilitate cython cdef-classes that expose memoryviews as numpy arrays.
 
+[Changelog](CHANGELOG.md)
+
 ##cythonarrays:
 [![PyPI version](https://badge.fury.io/py/cythonarrays.svg)](https://badge.fury.io/py/cythonarrays)
 [![Anaconda-Server Badge](https://anaconda.org/maxbo/cythonarrays/badges/version.svg)](https://anaconda.org/maxbo/cythonarrays)

cythonarrays/requirements.txt

@@ -1,4 +1,4 @@
-numpy
+numpy>=2.0
 cython
 xarray
 h5netcdf

cythonarrays/src/cythonarrays/_version.py

@@ -1 +1 @@
-__version__ = '1.6.1'
+__version__ = '1.6.2'

cythonarrays/src/cythonarrays/array_descriptors.py

@@ -180,7 +180,7 @@ def shape(self, value: Union[int, str, bytes, Tuple[Union[int, str]]]):
             the shape provided as a number, a string
             (comma separated for several dimensions) or a tuple/list of strings or ints
         """
-        if isinstance(value, (int, np.compat.long)):
+        if isinstance(value, (int, )):
             value = (value, )
         elif isinstance(value, (str, bytes)):
             splitted = value.split(',')

cythonarrays/src/cythonarrays/array_shapes.pyx

@@ -16,6 +16,10 @@ from .array_descriptors import ArrayDescriptor
 cimport cython
 cdef extern from "numpy/npy_math.h":
     bint npy_isnan(double x) nogil
+    double NPY_INFINITY
+    float NPY_INFINITYF
+    double NPY_NAN
+    float NPY_NANF
 
 
 cdef class ArrayShapes(object):
@@ -34,19 +38,19 @@ cdef class ArrayShapes(object):
 
     def __init__(self, *args, **kwargs):
         """
-        inits the Array and creates the constands for NAN and NINF
+        inits the Array and creates the constants for NAN, INF and NINF
         """
         # super class has to be called even if the super class of ArrayShapes
         # is only `object`
         super().__init__(*args, **kwargs)
-        # set NAN-Values
-        self.NAN_f = np.NAN #np.float32(0) / np.float32(0)
-        self.INF_f = np.float32(1) / np.float32(0)
-        self.NINF_f = np.float32(-1) / np.float32(0)
-
-        self.NAN_d = np.NAN #np.float64(0) / np.float64(0)
-        self.INF_d = np.float64(1) / np.float64(0)
-        self.NINF_d = np.float64(-1) / np.float64(0)
+        #set NAN-Values
+        self.NAN_f = NPY_NANF
+        self.INF_f = NPY_INFINITYF
+        self.NINF_f = -NPY_INFINITYF
+
+        self.NAN_d = NPY_NAN
+        self.INF_d = NPY_INFINITY
+        self.NINF_d = -NPY_INFINITY
 
     cdef char _isnan(self, np_floating x) nogil:
         """

cythonarrays/src/cythonarrays/tests/test_cythonarray.py

@@ -386,7 +386,7 @@ def test_33_del_property(self):
 
         # reset to default (not defined)
         example.reset_array('km_ij')
-        np.testing.assert_array_equal(example.km_ij, np.NAN)
+        np.testing.assert_array_equal(example.km_ij, np.nan)
 
         # reset to default (new value defined)
         example.dtypes['km_ij'].default = 11
@@ -449,9 +449,9 @@ def test042_test_nan(self, persons_gi: np.ndarray):
         groups, zones = persons_gi.shape
         example = Example(groups, zones)
 
-        assert example.isnan_py(np.NAN)
-        assert not example.isnan_py(np.NINF)
-        assert not example.isnan_py(np.Inf)
+        assert example.isnan_py(np.nan)
+        assert not example.isnan_py(-np.inf)
+        assert not example.isnan_py(np.inf)
         assert not example.isnan_py(0)
         assert not example.isnan_py(1)
         assert not example.isnan_py(-1)