Test with numpy 2.0.0rc1 and fix API changes of np.array()'s copy kwarg

.github/workflows/ci.yml

@@ -8,6 +8,7 @@ jobs:
     strategy:
       matrix:
         python-version: ["3.7", "3.8", "3.9", "3.10", "3.11", "3.12"]
+        numpy-version: [""]
         architecture: [x86, x64]
         os:
           [
@@ -27,6 +28,12 @@ jobs:
             architecture: x86
           - os: macos-12
             architecture: x86
+        include:
+          - python-version: "3.12"
+            numpy-version: ">=2.0.0rc1"
+            architecture: x64
+            os: ubuntu-latest
+
     steps:
       - uses: actions/checkout@v4
 
@@ -42,7 +49,7 @@ jobs:
 
       - name: Test with pytest
         run: |
-          pip install pytest
+          pip install pytest "numpy${{ matrix.numpy-version }}"
           pytest --pyargs bottleneck
 
   check:

bottleneck/slow/move.py

@@ -52,7 +52,7 @@ def move_argmin(a, window, min_count=None, axis=-1):
     "Slow move_argmin for unaccelerated dtype"
 
     def argmin(a, axis):
-        a = np.array(a, copy=False)
+        a = np.asarray(a)
         flip = [slice(None)] * a.ndim
         flip[axis] = slice(None, None, -1)
         a = a[tuple(flip)]  # if tie, pick index of rightmost tie
@@ -78,7 +78,7 @@ def move_argmax(a, window, min_count=None, axis=-1):
     "Slow move_argmax for unaccelerated dtype"
 
     def argmax(a, axis):
-        a = np.array(a, copy=False)
+        a = np.asarray(a)
         flip = [slice(None)] * a.ndim
         flip[axis] = slice(None, None, -1)
         a = a[tuple(flip)]  # if tie, pick index of rightmost tie
@@ -115,7 +115,7 @@ def move_rank(a, window, min_count=None, axis=-1):
 
 def move_func(func, a, window, min_count=None, axis=-1, **kwargs):
     "Generic moving window function implemented with a python loop."
-    a = np.array(a, copy=False)
+    a = np.asarray(a)
     if min_count is None:
         mc = window
     else:
@@ -226,7 +226,7 @@ def lastrank(a, axis=-1):
     -0.5
 
     """
-    a = np.array(a, copy=False)
+    a = np.asarray(a)
     ndim = a.ndim
     if a.size == 0:
         # At least one dimension has length 0

bottleneck/slow/nonreduce_axis.py

@@ -15,7 +15,7 @@ def nanrankdata(a, axis=None):
 
 
 def _rank(func1d, a, axis):
-    a = np.array(a, copy=False)
+    a = np.asarray(a)
     if axis is None:
         a = a.ravel()
         axis = 0

pyproject.toml

@@ -14,5 +14,5 @@ requires = [
     #      and disabling build isolation.
     #   3. The <2.3 upper bound is for matching the numpy deprecation policy,
     #      it should not be loosened
-    "numpy>=2.0.0rc1<2.3 ; python_version >= '3.9'",
+    "numpy>=2.0.0rc1,<2.3 ; python_version >= '3.9'",
 ]

setup.py

@@ -195,10 +195,6 @@ def get_long_description():
     install_requires=["numpy"],
     extras_require={"doc": ["numpydoc", "sphinx", "gitpython"]},
     cmdclass=cmdclass,
-    setup_requires=[
-        "oldest-supported-numpy ; python_version < '3.9'",
-        "numpy>=2.0.0rc1 ; python_version >= '3.9'"
-    ],
     ext_modules=prepare_modules(),
     zip_safe=False,
 )