Fix some issues with NumPy 2.0

.github/workflows/docs-preview.yml

@@ -14,6 +14,7 @@ jobs:
           artifact-path: 0/docs/_build/html/index.html
           circleci-jobs: Build Docs Preview
           job-title: Click here to see a preview of the documentation.
+          api-token: ${{ secrets.CIRCLECI_TOKEN }}
       - name: Check the URL
         if: github.event.status != 'pending'
         run: |

.github/workflows/tests.yml

@@ -6,6 +6,11 @@ jobs:
     strategy:
       matrix:
         python-version: ['3.8', '3.9', '3.10', '3.11', '3.12-dev']
+        # https://numpy.org/neps/nep-0029-deprecation_policy.html
+        numpy-version: ['1.22', 'latest', 'dev']
+        exclude:
+          - python-version: '3.12-dev'
+            numpy-version: '1.22'
       fail-fast: false
     steps:
       - uses: actions/checkout@v2
@@ -17,7 +22,13 @@ jobs:
           set -x
           set -e
           python -m pip install pyflakes pytest pytest-doctestplus hypothesis pytest-cov pytest-flakes packaging
-          python -m pip install --pre --upgrade --extra-index https://pypi.anaconda.org/scientific-python-nightly-wheels/simple numpy
+          if [[ ${{ matrix.numpy-version }} == 'latest' ]]; then
+              python -m pip install --pre --upgrade numpy
+          elif [[ ${{ matrix.numpy-version }} == 'dev' ]]; then
+              python -m pip install --pre --upgrade --extra-index https://pypi.anaconda.org/scientific-python-nightly-wheels/simple numpy
+          else
+              python -m pip install --upgrade numpy==${{ matrix.numpy-version }}.*
+          fi
       - name: Run Tests
         run: |
           set -x

ndindex/array.py

@@ -20,9 +20,13 @@ class ArrayIndex(NDIndex):
 
     def _typecheck(self, idx, shape=None, _copy=True):
         try:
-            from numpy import ndarray, asarray, integer, bool_, empty, intp, VisibleDeprecationWarning
+            from numpy import ndarray, asarray, integer, bool_, empty, intp
         except ImportError: # pragma: no cover
             raise ImportError("NumPy must be installed to create array indices")
+        try:
+            from numpy import VisibleDeprecationWarning
+        except ImportError: # pragma: no cover
+            from numpy.exceptions import VisibleDeprecationWarning
 
         if self.dtype is None:
             raise TypeError("Do not instantiate the superclass ArrayIndex directly")

ndindex/shapetools.py

@@ -188,7 +188,7 @@ def iter_indices(*shapes, skip_axes=(), _debug=False):
     array([[100],
            [110]])
     >>> for idx1, idx2 in iter_indices((1, 3), (2, 1)):
-    ...     print(f"{idx1 = }; {idx2 = }; {(a[idx1.raw], b[idx2.raw]) = }") # doctest: +SKIP38
+    ...     print(f"{idx1 = }; {idx2 = }; {(a[idx1.raw], b[idx2.raw]) = }") # doctest: +SKIPNP1
     idx1 = Tuple(0, 0); idx2 = Tuple(0, 0); (a[idx1.raw], b[idx2.raw]) = (np.int64(0), np.int64(100))
     idx1 = Tuple(0, 1); idx2 = Tuple(0, 0); (a[idx1.raw], b[idx2.raw]) = (np.int64(1), np.int64(100))
     idx1 = Tuple(0, 2); idx2 = Tuple(0, 0); (a[idx1.raw], b[idx2.raw]) = (np.int64(2), np.int64(100))

ndindex/tests/doctest.py

@@ -16,6 +16,8 @@
 
 """
 
+import numpy
+
 import sys
 import unittest
 import glob
@@ -24,10 +26,10 @@
 from doctest import (DocTestRunner, DocFileSuite, DocTestSuite,
                      NORMALIZE_WHITESPACE, register_optionflag)
 
-SKIP38 = register_optionflag("SKIP38")
-PY38 = sys.version_info[1] == 8
-if PY38:
-    SKIP_THIS_VERSION = SKIP38
+SKIPNP1 = register_optionflag("SKIPNP1")
+NP1 = numpy.__version__.startswith('1')
+if NP1:
+    SKIP_THIS_VERSION = SKIPNP1
 else:
     SKIP_THIS_VERSION = 0
 

ndindex/tests/test_shapetools.py

@@ -1,4 +1,8 @@
 import numpy as np
+try:
+    from numpy import AxisError as np_AxisError
+except ImportError: # pragma: no cover
+    from numpy.exceptions import AxisError as np_AxisError
 
 from hypothesis import assume, given, example
 from hypothesis.strategies import (one_of, integers, tuples as
@@ -271,7 +275,7 @@ def test_iter_indices_errors():
     # Check that the message is the same one used by NumPy
     try:
         np.sum(np.arange(10), axis=2)
-    except np.AxisError as e:
+    except np_AxisError as e:
         np_msg = str(e)
     else:
         raise RuntimeError("np.sum() did not raise AxisError") # pragma: no cover

ndindex/tuple.py

@@ -246,7 +246,7 @@ def reduce(self, shape=None, *, negative_int=False):
         Integer(1)
         >>> a[..., 1]
         array(1)
-        >>> a[1] # doctest: +SKIP38
+        >>> a[1] # doctest: +SKIPNP1
         np.int64(1)
 
         See https://github.com/Quansight-Labs/ndindex/issues/22.