1.4.0rc4

[bnavigator]

You neither build nor test with numpy 2.0.0rc1 in your tests though: https://github.com/pydata/bottleneck/actions/runs/8952001350/job/24588934895#step:4:21

This is what happens if you run the tests with 1.4.0rc4 and numpy 2.0.0rc1:

[   40s] =================================== FAILURES ===================================
[   40s] __________________________ test_list_input[move_sum] ___________________________
[   40s] 
[   40s] func = <built-in function move_sum>
[   40s] 
[   40s]     @pytest.mark.parametrize("func", bn.get_functions("all"), ids=lambda x: x.__name__)
[   40s]     def test_list_input(func):
[   40s]         """Test that bn.xxx gives the same output as bn.slow.xxx for list input."""
[   40s]         msg = "\nfunc %s | input %s (%s) | shape %s\n"
[   40s]         msg += "\nInput array:\n%s\n"
[   40s]         name = func.__name__
[   40s]         if name == "replace":
[   40s]             return
[   40s]         func0 = eval("bn.slow.%s" % name)
[   40s]         for i, a in enumerate(lists()):
[   40s]             with warnings.catch_warnings():
[   40s]                 warnings.simplefilter("ignore")
[   40s]                 try:
[   40s] >                   actual = func(a)
[   40s] E                   TypeError: wrong number of arguments
[   40s] 
[   40s] ../../BUILDROOT/python-Bottleneck-1.4.0~rc4-25.1.x86_64/usr/lib64/python3.10/site-packages/bottleneck/tests/list_input_test.py:42: TypeError
[   40s] 
[   40s] During handling of the above exception, another exception occurred:
[   40s] 
[   40s] func = <built-in function move_sum>
[   40s] 
[   40s]     @pytest.mark.parametrize("func", bn.get_functions("all"), ids=lambda x: x.__name__)
[   40s]     def test_list_input(func):
[   40s]         """Test that bn.xxx gives the same output as bn.slow.xxx for list input."""
[   40s]         msg = "\nfunc %s | input %s (%s) | shape %s\n"
[   40s]         msg += "\nInput array:\n%s\n"
[   40s]         name = func.__name__
[   40s]         if name == "replace":
[   40s]             return
[   40s]         func0 = eval("bn.slow.%s" % name)
[   40s]         for i, a in enumerate(lists()):
[   40s]             with warnings.catch_warnings():
[   40s]                 warnings.simplefilter("ignore")
[   40s]                 try:
[   40s]                     actual = func(a)
[   40s]                     desired = func0(a)
[   40s]                 except TypeError:
[   40s]                     actual = func(a, 2)
[   40s] >                   desired = func0(a, 2)
[   40s] 
[   40s] ../../BUILDROOT/python-Bottleneck-1.4.0~rc4-25.1.x86_64/usr/lib64/python3.10/site-packages/bottleneck/tests/list_input_test.py:46: 
[   40s] _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
[   40s] ../../BUILDROOT/python-Bottleneck-1.4.0~rc4-25.1.x86_64/usr/lib64/python3.10/site-packages/bottleneck/slow/move.py:23: in move_sum
[   40s]     return move_func(np.nansum, a, window, min_count, axis=axis)
[   40s] _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
[   40s] 
[   40s] func = <function nansum at 0x7f9c84b06470>, a = [0.0, 1.0, 2.0, 3.0], window = 2
[   40s] min_count = None, axis = -1, kwargs = {}
[   40s] 
[   40s]     def move_func(func, a, window, min_count=None, axis=-1, **kwargs):
[   40s]         "Generic moving window function implemented with a python loop."
[   40s] >       a = np.array(a, copy=False)
[   40s] E       ValueError: Unable to avoid copy while creating an array as requested.
[   40s] E       If using `np.array(obj, copy=False)` replace it with `np.asarray(obj)` to allow a copy when needed (no behavior change in NumPy 1.x).
[   40s] E       For more details, see https://numpy.org/devdocs/numpy_2_0_migration_guide.html#adapting-to-changes-in-the-copy-keyword.
[   40s] 
[   40s] ../../BUILDROOT/python-Bottleneck-1.4.0~rc4-25.1.x86_64/usr/lib64/python3.10/site-packages/bottleneck/slow/move.py:118: ValueError
[   40s] __________________________ test_list_input[move_mean] __________________________
[   40s] 
[   40s] func = <built-in function move_mean>
[   40s] 
[   40s]     @pytest.mark.parametrize("func", bn.get_functions("all"), ids=lambda x: x.__name__)
[   40s]     def test_list_input(func):
[   40s]         """Test that bn.xxx gives the same output as bn.slow.xxx for list input."""
[   40s]         msg = "\nfunc %s | input %s (%s) | shape %s\n"
[   40s]         msg += "\nInput array:\n%s\n"
[   40s]         name = func.__name__
[   40s]         if name == "replace":
[   40s]             return
[   40s]         func0 = eval("bn.slow.%s" % name)
[   40s]         for i, a in enumerate(lists()):
[   40s]             with warnings.catch_warnings():
[   40s]                 warnings.simplefilter("ignore")
[   40s]                 try:
[   40s] >                   actual = func(a)
[   40s] E                   TypeError: wrong number of arguments
[   40s] 
[   40s] ../../BUILDROOT/python-Bottleneck-1.4.0~rc4-25.1.x86_64/usr/lib64/python3.10/site-packages/bottleneck/tests/list_input_test.py:42: TypeError
[   40s] 
[   40s] During handling of the above exception, another exception occurred:
[   40s] 
[   40s] func = <built-in function move_mean>
[   40s] 
[   40s]     @pytest.mark.parametrize("func", bn.get_functions("all"), ids=lambda x: x.__name__)
[   40s]     def test_list_input(func):
[   40s]         """Test that bn.xxx gives the same output as bn.slow.xxx for list input."""
[   40s]         msg = "\nfunc %s | input %s (%s) | shape %s\n"
[   40s]         msg += "\nInput array:\n%s\n"
[   40s]         name = func.__name__
[   40s]         if name == "replace":
[   40s]             return
[   40s]         func0 = eval("bn.slow.%s" % name)
[   40s]         for i, a in enumerate(lists()):
[   40s]             with warnings.catch_warnings():
[   40s]                 warnings.simplefilter("ignore")
[   40s]                 try:
[   40s]                     actual = func(a)
[   40s]                     desired = func0(a)
[   40s]                 except TypeError:
[   40s]                     actual = func(a, 2)
[   40s] >                   desired = func0(a, 2)
[   40s] 
[   40s] ../../BUILDROOT/python-Bottleneck-1.4.0~rc4-25.1.x86_64/usr/lib64/python3.10/site-packages/bottleneck/tests/list_input_test.py:46: 
[   40s] _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
[   40s] ../../BUILDROOT/python-Bottleneck-1.4.0~rc4-25.1.x86_64/usr/lib64/python3.10/site-packages/bottleneck/slow/move.py:28: in move_mean
[   40s]     return move_func(np.nanmean, a, window, min_count, axis=axis)
[   40s] _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
[   40s] 
[   40s] func = <function nanmean at 0x7f9c84b06930>, a = [0.0, 1.0, 2.0, 3.0]
[   40s] window = 2, min_count = None, axis = -1, kwargs = {}
[   40s] 
[   40s]     def move_func(func, a, window, min_count=None, axis=-1, **kwargs):
[   40s]         "Generic moving window function implemented with a python loop."
[   40s] >       a = np.array(a, copy=False)
[   40s] E       ValueError: Unable to avoid copy while creating an array as requested.
[   40s] E       If using `np.array(obj, copy=False)` replace it with `np.asarray(obj)` to allow a copy when needed (no behavior change in NumPy 1.x).
[   40s] E       For more details, see https://numpy.org/devdocs/numpy_2_0_migration_guide.html#adapting-to-changes-in-the-copy-keyword.
[   40s] 
[   40s] ../../BUILDROOT/python-Bottleneck-1.4.0~rc4-25.1.x86_64/usr/lib64/python3.10/site-packages/bottleneck/slow/move.py:118: ValueError
[   40s] __________________________ test_list_input[move_std] ___________________________
[   40s] 
[   40s] func = <built-in function move_std>
[   40s] 
[   40s]     @pytest.mark.parametrize("func", bn.get_functions("all"), ids=lambda x: x.__name__)
[   40s]     def test_list_input(func):
[   40s]         """Test that bn.xxx gives the same output as bn.slow.xxx for list input."""
[   40s]         msg = "\nfunc %s | input %s (%s) | shape %s\n"
[   40s]         msg += "\nInput array:\n%s\n"
[   40s]         name = func.__name__
[   40s]         if name == "replace":
[   40s]             return
[   40s]         func0 = eval("bn.slow.%s" % name)
[   40s]         for i, a in enumerate(lists()):
[   40s]             with warnings.catch_warnings():
[   40s]                 warnings.simplefilter("ignore")
[   40s]                 try:
[   40s] >                   actual = func(a)
[   40s] E                   TypeError: wrong number of arguments
[   40s] 
[   40s] ../../BUILDROOT/python-Bottleneck-1.4.0~rc4-25.1.x86_64/usr/lib64/python3.10/site-packages/bottleneck/tests/list_input_test.py:42: TypeError
[   40s] 
[   40s] During handling of the above exception, another exception occurred:
[   40s] 
[   40s] func = <built-in function move_std>
[   40s] 
[   40s]     @pytest.mark.parametrize("func", bn.get_functions("all"), ids=lambda x: x.__name__)
[   40s]     def test_list_input(func):
[   40s]         """Test that bn.xxx gives the same output as bn.slow.xxx for list input."""
[   40s]         msg = "\nfunc %s | input %s (%s) | shape %s\n"
[   40s]         msg += "\nInput array:\n%s\n"
[   40s]         name = func.__name__
[   40s]         if name == "replace":
[   40s]             return
[   40s]         func0 = eval("bn.slow.%s" % name)
[   40s]         for i, a in enumerate(lists()):
[   40s]             with warnings.catch_warnings():
[   40s]                 warnings.simplefilter("ignore")
[   40s]                 try:
[   40s]                     actual = func(a)
[   40s]                     desired = func0(a)
[   40s]                 except TypeError:
[   40s]                     actual = func(a, 2)
[   40s] >                   desired = func0(a, 2)
[   40s] 
[   40s] ../../BUILDROOT/python-Bottleneck-1.4.0~rc4-25.1.x86_64/usr/lib64/python3.10/site-packages/bottleneck/tests/list_input_test.py:46: 
[   40s] _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
[   40s] ../../BUILDROOT/python-Bottleneck-1.4.0~rc4-25.1.x86_64/usr/lib64/python3.10/site-packages/bottleneck/slow/move.py:33: in move_std
[   40s]     return move_func(np.nanstd, a, window, min_count, axis=axis, ddof=ddof)
[   40s] _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
[   40s] 
[   40s] func = <function nanstd at 0x7f9c84b07170>, a = [0.0, 1.0, 2.0, 3.0], window = 2
[   40s] min_count = None, axis = -1, kwargs = {'ddof': 0}
[   40s] 
[   40s]     def move_func(func, a, window, min_count=None, axis=-1, **kwargs):
[   40s]         "Generic moving window function implemented with a python loop."
[   40s] >       a = np.array(a, copy=False)
[   40s] E       ValueError: Unable to avoid copy while creating an array as requested.
[   40s] E       If using `np.array(obj, copy=False)` replace it with `np.asarray(obj)` to allow a copy when needed (no behavior change in NumPy 1.x).
[   40s] E       For more details, see https://numpy.org/devdocs/numpy_2_0_migration_guide.html#adapting-to-changes-in-the-copy-keyword.
[   40s] 
[   40s] ../../BUILDROOT/python-Bottleneck-1.4.0~rc4-25.1.x86_64/usr/lib64/python3.10/site-packages/bottleneck/slow/move.py:118: ValueError
[   40s] __________________________ test_list_input[move_var] ___________________________
[   40s] 
[   40s] func = <built-in function move_var>
[   40s] 
[   40s]     @pytest.mark.parametrize("func", bn.get_functions("all"), ids=lambda x: x.__name__)
[   40s]     def test_list_input(func):
[   40s]         """Test that bn.xxx gives the same output as bn.slow.xxx for list input."""
[   40s]         msg = "\nfunc %s | input %s (%s) | shape %s\n"
[   40s]         msg += "\nInput array:\n%s\n"
[   40s]         name = func.__name__
[   40s]         if name == "replace":
[   40s]             return
[   40s]         func0 = eval("bn.slow.%s" % name)
[   40s]         for i, a in enumerate(lists()):
[   40s]             with warnings.catch_warnings():
[   40s]                 warnings.simplefilter("ignore")
[   40s]                 try:
[   40s] >                   actual = func(a)
[   40s] E                   TypeError: wrong number of arguments
[   40s] 
[   40s] ../../BUILDROOT/python-Bottleneck-1.4.0~rc4-25.1.x86_64/usr/lib64/python3.10/site-packages/bottleneck/tests/list_input_test.py:42: TypeError
[   40s] 
[   40s] During handling of the above exception, another exception occurred:
[   40s] 
[   40s] func = <built-in function move_var>
[   40s] 
[   40s]     @pytest.mark.parametrize("func", bn.get_functions("all"), ids=lambda x: x.__name__)
[   40s]     def test_list_input(func):
[   40s]         """Test that bn.xxx gives the same output as bn.slow.xxx for list input."""
[   40s]         msg = "\nfunc %s | input %s (%s) | shape %s\n"
[   40s]         msg += "\nInput array:\n%s\n"
[   40s]         name = func.__name__
[   40s]         if name == "replace":
[   40s]             return
[   40s]         func0 = eval("bn.slow.%s" % name)
[   40s]         for i, a in enumerate(lists()):
[   40s]             with warnings.catch_warnings():
[   40s]                 warnings.simplefilter("ignore")
[   40s]                 try:
[   40s]                     actual = func(a)
[   40s]                     desired = func0(a)
[   40s]                 except TypeError:
[   40s]                     actual = func(a, 2)
[   40s] >                   desired = func0(a, 2)
[   40s] 
[   40s] ../../BUILDROOT/python-Bottleneck-1.4.0~rc4-25.1.x86_64/usr/lib64/python3.10/site-packages/bottleneck/tests/list_input_test.py:46: 
[   40s] _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
[   40s] ../../BUILDROOT/python-Bottleneck-1.4.0~rc4-25.1.x86_64/usr/lib64/python3.10/site-packages/bottleneck/slow/move.py:38: in move_var
[   40s]     return move_func(np.nanvar, a, window, min_count, axis=axis, ddof=ddof)
[   40s] _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
[   40s] 
[   40s] func = <function nanvar at 0x7f9c84b06f70>, a = [0.0, 1.0, 2.0, 3.0], window = 2
[   40s] min_count = None, axis = -1, kwargs = {'ddof': 0}
[   40s] 
[   40s]     def move_func(func, a, window, min_count=None, axis=-1, **kwargs):
[   40s]         "Generic moving window function implemented with a python loop."
[   40s] >       a = np.array(a, copy=False)
[   40s] E       ValueError: Unable to avoid copy while creating an array as requested.
[   40s] E       If using `np.array(obj, copy=False)` replace it with `np.asarray(obj)` to allow a copy when needed (no behavior change in NumPy 1.x).
[   40s] E       For more details, see https://numpy.org/devdocs/numpy_2_0_migration_guide.html#adapting-to-changes-in-the-copy-keyword.
[   40s] 
[   40s] ../../BUILDROOT/python-Bottleneck-1.4.0~rc4-25.1.x86_64/usr/lib64/python3.10/site-packages/bottleneck/slow/move.py:118: ValueError
[   40s] __________________________ test_list_input[move_min] ___________________________
[   40s] 
[   40s] func = <built-in function move_min>
[   40s] 
[   40s]     @pytest.mark.parametrize("func", bn.get_functions("all"), ids=lambda x: x.__name__)
[   40s]     def test_list_input(func):
[   40s]         """Test that bn.xxx gives the same output as bn.slow.xxx for list input."""
[   40s]         msg = "\nfunc %s | input %s (%s) | shape %s\n"
[   40s]         msg += "\nInput array:\n%s\n"
[   40s]         name = func.__name__
[   40s]         if name == "replace":
[   40s]             return
[   40s]         func0 = eval("bn.slow.%s" % name)
[   40s]         for i, a in enumerate(lists()):
[   40s]             with warnings.catch_warnings():
[   40s]                 warnings.simplefilter("ignore")
[   40s]                 try:
[   40s] >                   actual = func(a)
[   40s] E                   TypeError: wrong number of arguments
[   40s] 
[   40s] ../../BUILDROOT/python-Bottleneck-1.4.0~rc4-25.1.x86_64/usr/lib64/python3.10/site-packages/bottleneck/tests/list_input_test.py:42: TypeError
[   40s] 
[   40s] During handling of the above exception, another exception occurred:
[   40s] 
[   40s] func = <built-in function move_min>
[   40s] 
[   40s]     @pytest.mark.parametrize("func", bn.get_functions("all"), ids=lambda x: x.__name__)
[   40s]     def test_list_input(func):
[   40s]         """Test that bn.xxx gives the same output as bn.slow.xxx for list input."""
[   40s]         msg = "\nfunc %s | input %s (%s) | shape %s\n"
[   40s]         msg += "\nInput array:\n%s\n"
[   40s]         name = func.__name__
[   40s]         if name == "replace":
[   40s]             return
[   40s]         func0 = eval("bn.slow.%s" % name)
[   40s]         for i, a in enumerate(lists()):
[   40s]             with warnings.catch_warnings():
[   40s]                 warnings.simplefilter("ignore")
[   40s]                 try:
[   40s]                     actual = func(a)
[   40s]                     desired = func0(a)
[   40s]                 except TypeError:
[   40s]                     actual = func(a, 2)
[   40s] >                   desired = func0(a, 2)
[   40s] 
[   40s] ../../BUILDROOT/python-Bottleneck-1.4.0~rc4-25.1.x86_64/usr/lib64/python3.10/site-packages/bottleneck/tests/list_input_test.py:46: 
[   40s] _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
[   40s] ../../BUILDROOT/python-Bottleneck-1.4.0~rc4-25.1.x86_64/usr/lib64/python3.10/site-packages/bottleneck/slow/move.py:43: in move_min
[   40s]     return move_func(np.nanmin, a, window, min_count, axis=axis)
[   40s] _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
[   40s] 
[   40s] func = <function nanmin at 0x7f9c84b05df0>, a = [0.0, 1.0, 2.0, 3.0], window = 2
[   40s] min_count = None, axis = -1, kwargs = {}
[   40s] 
[   40s]     def move_func(func, a, window, min_count=None, axis=-1, **kwargs):
[   40s]         "Generic moving window function implemented with a python loop."
[   40s] >       a = np.array(a, copy=False)
[   40s] E       ValueError: Unable to avoid copy while creating an array as requested.
[   40s] E       If using `np.array(obj, copy=False)` replace it with `np.asarray(obj)` to allow a copy when needed (no behavior change in NumPy 1.x).
[   40s] E       For more details, see https://numpy.org/devdocs/numpy_2_0_migration_guide.html#adapting-to-changes-in-the-copy-keyword.
[   40s] 
[   40s] ../../BUILDROOT/python-Bottleneck-1.4.0~rc4-25.1.x86_64/usr/lib64/python3.10/site-packages/bottleneck/slow/move.py:118: ValueError
[   40s] __________________________ test_list_input[move_max] ___________________________
[   40s] 
[   40s] func = <built-in function move_max>
[   40s] 
[   40s]     @pytest.mark.parametrize("func", bn.get_functions("all"), ids=lambda x: x.__name__)
[   40s]     def test_list_input(func):
[   40s]         """Test that bn.xxx gives the same output as bn.slow.xxx for list input."""
[   40s]         msg = "\nfunc %s | input %s (%s) | shape %s\n"
[   40s]         msg += "\nInput array:\n%s\n"
[   40s]         name = func.__name__
[   40s]         if name == "replace":
[   40s]             return
[   40s]         func0 = eval("bn.slow.%s" % name)
[   40s]         for i, a in enumerate(lists()):
[   40s]             with warnings.catch_warnings():
[   40s]                 warnings.simplefilter("ignore")
[   40s]                 try:
[   40s] >                   actual = func(a)
[   40s] E                   TypeError: wrong number of arguments
[   40s] 
[   40s] ../../BUILDROOT/python-Bottleneck-1.4.0~rc4-25.1.x86_64/usr/lib64/python3.10/site-packages/bottleneck/tests/list_input_test.py:42: TypeError
[   40s] 
[   40s] During handling of the above exception, another exception occurred:
[   40s] 
[   40s] func = <built-in function move_max>
[   40s] 
[   40s]     @pytest.mark.parametrize("func", bn.get_functions("all"), ids=lambda x: x.__name__)
[   40s]     def test_list_input(func):
[   40s]         """Test that bn.xxx gives the same output as bn.slow.xxx for list input."""
[   40s]         msg = "\nfunc %s | input %s (%s) | shape %s\n"
[   40s]         msg += "\nInput array:\n%s\n"
[   40s]         name = func.__name__
[   40s]         if name == "replace":
[   40s]             return
[   40s]         func0 = eval("bn.slow.%s" % name)
[   40s]         for i, a in enumerate(lists()):
[   40s]             with warnings.catch_warnings():
[   40s]                 warnings.simplefilter("ignore")
[   40s]                 try:
[   40s]                     actual = func(a)
[   40s]                     desired = func0(a)
[   40s]                 except TypeError:
[   40s]                     actual = func(a, 2)
[   40s] >                   desired = func0(a, 2)
[   40s] 
[   40s] ../../BUILDROOT/python-Bottleneck-1.4.0~rc4-25.1.x86_64/usr/lib64/python3.10/site-packages/bottleneck/tests/list_input_test.py:46: 
[   40s] _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
[   40s] ../../BUILDROOT/python-Bottleneck-1.4.0~rc4-25.1.x86_64/usr/lib64/python3.10/site-packages/bottleneck/slow/move.py:48: in move_max
[   40s]     return move_func(np.nanmax, a, window, min_count, axis=axis)
[   40s] _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
[   40s] 
[   40s] func = <function nanmax at 0x7f9c84b05ff0>, a = [0.0, 1.0, 2.0, 3.0], window = 2
[   40s] min_count = None, axis = -1, kwargs = {}
[   40s] 
[   40s]     def move_func(func, a, window, min_count=None, axis=-1, **kwargs):
[   40s]         "Generic moving window function implemented with a python loop."
[   40s] >       a = np.array(a, copy=False)
[   40s] E       ValueError: Unable to avoid copy while creating an array as requested.
[   40s] E       If using `np.array(obj, copy=False)` replace it with `np.asarray(obj)` to allow a copy when needed (no behavior change in NumPy 1.x).
[   40s] E       For more details, see https://numpy.org/devdocs/numpy_2_0_migration_guide.html#adapting-to-changes-in-the-copy-keyword.
[   40s] 
[   40s] ../../BUILDROOT/python-Bottleneck-1.4.0~rc4-25.1.x86_64/usr/lib64/python3.10/site-packages/bottleneck/slow/move.py:118: ValueError
[   40s] _________________________ test_list_input[move_argmin] _________________________
[   40s] 
[   40s] func = <built-in function move_argmin>
[   40s] 
[   40s]     @pytest.mark.parametrize("func", bn.get_functions("all"), ids=lambda x: x.__name__)
[   40s]     def test_list_input(func):
[   40s]         """Test that bn.xxx gives the same output as bn.slow.xxx for list input."""
[   40s]         msg = "\nfunc %s | input %s (%s) | shape %s\n"
[   40s]         msg += "\nInput array:\n%s\n"
[   40s]         name = func.__name__
[   40s]         if name == "replace":
[   40s]             return
[   40s]         func0 = eval("bn.slow.%s" % name)
[   40s]         for i, a in enumerate(lists()):
[   40s]             with warnings.catch_warnings():
[   40s]                 warnings.simplefilter("ignore")
[   40s]                 try:
[   40s] >                   actual = func(a)
[   40s] E                   TypeError: wrong number of arguments
[   40s] 
[   40s] ../../BUILDROOT/python-Bottleneck-1.4.0~rc4-25.1.x86_64/usr/lib64/python3.10/site-packages/bottleneck/tests/list_input_test.py:42: TypeError
[   40s] 
[   40s] During handling of the above exception, another exception occurred:
[   40s] 
[   40s] func = <built-in function move_argmin>
[   40s] 
[   40s]     @pytest.mark.parametrize("func", bn.get_functions("all"), ids=lambda x: x.__name__)
[   40s]     def test_list_input(func):
[   40s]         """Test that bn.xxx gives the same output as bn.slow.xxx for list input."""
[   40s]         msg = "\nfunc %s | input %s (%s) | shape %s\n"
[   40s]         msg += "\nInput array:\n%s\n"
[   40s]         name = func.__name__
[   40s]         if name == "replace":
[   40s]             return
[   40s]         func0 = eval("bn.slow.%s" % name)
[   40s]         for i, a in enumerate(lists()):
[   40s]             with warnings.catch_warnings():
[   40s]                 warnings.simplefilter("ignore")
[   40s]                 try:
[   40s]                     actual = func(a)
[   40s]                     desired = func0(a)
[   40s]                 except TypeError:
[   40s]                     actual = func(a, 2)
[   40s] >                   desired = func0(a, 2)
[   40s] 
[   40s] ../../BUILDROOT/python-Bottleneck-1.4.0~rc4-25.1.x86_64/usr/lib64/python3.10/site-packages/bottleneck/tests/list_input_test.py:46: 
[   40s] _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
[   40s] ../../BUILDROOT/python-Bottleneck-1.4.0~rc4-25.1.x86_64/usr/lib64/python3.10/site-packages/bottleneck/slow/move.py:74: in move_argmin
[   40s]     return move_func(argmin, a, window, min_count, axis=axis)
[   40s] _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
[   40s] 
[   40s] func = <function move_argmin.<locals>.argmin at 0x7f9c84a9d2d0>
[   40s] a = [0.0, 1.0, 2.0, 3.0], window = 2, min_count = None, axis = -1, kwargs = {}
[   40s] 
[   40s]     def move_func(func, a, window, min_count=None, axis=-1, **kwargs):
[   40s]         "Generic moving window function implemented with a python loop."
[   40s] >       a = np.array(a, copy=False)
[   40s] E       ValueError: Unable to avoid copy while creating an array as requested.
[   40s] E       If using `np.array(obj, copy=False)` replace it with `np.asarray(obj)` to allow a copy when needed (no behavior change in NumPy 1.x).
[   40s] E       For more details, see https://numpy.org/devdocs/numpy_2_0_migration_guide.html#adapting-to-changes-in-the-copy-keyword.
[   40s] 
[   40s] ../../BUILDROOT/python-Bottleneck-1.4.0~rc4-25.1.x86_64/usr/lib64/python3.10/site-packages/bottleneck/slow/move.py:118: ValueError
[   40s] _________________________ test_list_input[move_argmax] _________________________
[   40s] 
[   40s] func = <built-in function move_argmax>
[   40s] 
[   40s]     @pytest.mark.parametrize("func", bn.get_functions("all"), ids=lambda x: x.__name__)
[   40s]     def test_list_input(func):
[   40s]         """Test that bn.xxx gives the same output as bn.slow.xxx for list input."""
[   40s]         msg = "\nfunc %s | input %s (%s) | shape %s\n"
[   40s]         msg += "\nInput array:\n%s\n"
[   40s]         name = func.__name__
[   40s]         if name == "replace":
[   40s]             return
[   40s]         func0 = eval("bn.slow.%s" % name)
[   40s]         for i, a in enumerate(lists()):
[   40s]             with warnings.catch_warnings():
[   40s]                 warnings.simplefilter("ignore")
[   40s]                 try:
[   40s] >                   actual = func(a)
[   40s] E                   TypeError: wrong number of arguments
[   40s] 
[   40s] ../../BUILDROOT/python-Bottleneck-1.4.0~rc4-25.1.x86_64/usr/lib64/python3.10/site-packages/bottleneck/tests/list_input_test.py:42: TypeError
[   40s] 
[   40s] During handling of the above exception, another exception occurred:
[   40s] 
[   40s] func = <built-in function move_argmax>
[   40s] 
[   40s]     @pytest.mark.parametrize("func", bn.get_functions("all"), ids=lambda x: x.__name__)
[   40s]     def test_list_input(func):
[   40s]         """Test that bn.xxx gives the same output as bn.slow.xxx for list input."""
[   40s]         msg = "\nfunc %s | input %s (%s) | shape %s\n"
[   40s]         msg += "\nInput array:\n%s\n"
[   40s]         name = func.__name__
[   40s]         if name == "replace":
[   40s]             return
[   40s]         func0 = eval("bn.slow.%s" % name)
[   40s]         for i, a in enumerate(lists()):
[   40s]             with warnings.catch_warnings():
[   40s]                 warnings.simplefilter("ignore")
[   40s]                 try:
[   40s]                     actual = func(a)
[   40s]                     desired = func0(a)
[   40s]                 except TypeError:
[   40s]                     actual = func(a, 2)
[   40s] >                   desired = func0(a, 2)
[   40s] 
[   40s] ../../BUILDROOT/python-Bottleneck-1.4.0~rc4-25.1.x86_64/usr/lib64/python3.10/site-packages/bottleneck/tests/list_input_test.py:46: 
[   40s] _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
[   40s] ../../BUILDROOT/python-Bottleneck-1.4.0~rc4-25.1.x86_64/usr/lib64/python3.10/site-packages/bottleneck/slow/move.py:100: in move_argmax
[   40s]     return move_func(argmax, a, window, min_count, axis=axis)
[   40s] _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
[   40s] 
[   40s] func = <function move_argmax.<locals>.argmax at 0x7f9c871ba830>
[   40s] a = [0.0, 1.0, 2.0, 3.0], window = 2, min_count = None, axis = -1, kwargs = {}
[   40s] 
[   40s]     def move_func(func, a, window, min_count=None, axis=-1, **kwargs):
[   40s]         "Generic moving window function implemented with a python loop."
[   40s] >       a = np.array(a, copy=False)
[   40s] E       ValueError: Unable to avoid copy while creating an array as requested.
[   40s] E       If using `np.array(obj, copy=False)` replace it with `np.asarray(obj)` to allow a copy when needed (no behavior change in NumPy 1.x).
[   40s] E       For more details, see https://numpy.org/devdocs/numpy_2_0_migration_guide.html#adapting-to-changes-in-the-copy-keyword.
[   40s] 
[   40s] ../../BUILDROOT/python-Bottleneck-1.4.0~rc4-25.1.x86_64/usr/lib64/python3.10/site-packages/bottleneck/slow/move.py:118: ValueError
[   40s] _________________________ test_list_input[move_median] _________________________
[   40s] 
[   40s] func = <built-in function move_median>
[   40s] 
[   40s]     @pytest.mark.parametrize("func", bn.get_functions("all"), ids=lambda x: x.__name__)
[   40s]     def test_list_input(func):
[   40s]         """Test that bn.xxx gives the same output as bn.slow.xxx for list input."""
[   40s]         msg = "\nfunc %s | input %s (%s) | shape %s\n"
[   40s]         msg += "\nInput array:\n%s\n"
[   40s]         name = func.__name__
[   40s]         if name == "replace":
[   40s]             return
[   40s]         func0 = eval("bn.slow.%s" % name)
[   40s]         for i, a in enumerate(lists()):
[   40s]             with warnings.catch_warnings():
[   40s]                 warnings.simplefilter("ignore")
[   40s]                 try:
[   40s] >                   actual = func(a)
[   40s] E                   TypeError: wrong number of arguments
[   40s] 
[   40s] ../../BUILDROOT/python-Bottleneck-1.4.0~rc4-25.1.x86_64/usr/lib64/python3.10/site-packages/bottleneck/tests/list_input_test.py:42: TypeError
[   40s] 
[   40s] During handling of the above exception, another exception occurred:
[   40s] 
[   40s] func = <built-in function move_median>
[   40s] 
[   40s]     @pytest.mark.parametrize("func", bn.get_functions("all"), ids=lambda x: x.__name__)
[   40s]     def test_list_input(func):
[   40s]         """Test that bn.xxx gives the same output as bn.slow.xxx for list input."""
[   40s]         msg = "\nfunc %s | input %s (%s) | shape %s\n"
[   40s]         msg += "\nInput array:\n%s\n"
[   40s]         name = func.__name__
[   40s]         if name == "replace":
[   40s]             return
[   40s]         func0 = eval("bn.slow.%s" % name)
[   40s]         for i, a in enumerate(lists()):
[   40s]             with warnings.catch_warnings():
[   40s]                 warnings.simplefilter("ignore")
[   40s]                 try:
[   40s]                     actual = func(a)
[   40s]                     desired = func0(a)
[   40s]                 except TypeError:
[   40s]                     actual = func(a, 2)
[   40s] >                   desired = func0(a, 2)
[   40s] 
[   40s] ../../BUILDROOT/python-Bottleneck-1.4.0~rc4-25.1.x86_64/usr/lib64/python3.10/site-packages/bottleneck/tests/list_input_test.py:46: 
[   40s] _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
[   40s] ../../BUILDROOT/python-Bottleneck-1.4.0~rc4-25.1.x86_64/usr/lib64/python3.10/site-packages/bottleneck/slow/move.py:105: in move_median
[   40s]     return move_func(np.nanmedian, a, window, min_count, axis=axis)
[   40s] _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
[   40s] 
[   40s] func = <function nanmedian at 0x7f9c84b06af0>, a = [0.0, 1.0, 2.0, 3.0]
[   40s] window = 2, min_count = None, axis = -1, kwargs = {}
[   40s] 
[   40s]     def move_func(func, a, window, min_count=None, axis=-1, **kwargs):
[   40s]         "Generic moving window function implemented with a python loop."
[   40s] >       a = np.array(a, copy=False)
[   40s] E       ValueError: Unable to avoid copy while creating an array as requested.
[   40s] E       If using `np.array(obj, copy=False)` replace it with `np.asarray(obj)` to allow a copy when needed (no behavior change in NumPy 1.x).
[   40s] E       For more details, see https://numpy.org/devdocs/numpy_2_0_migration_guide.html#adapting-to-changes-in-the-copy-keyword.
[   40s] 
[   40s] ../../BUILDROOT/python-Bottleneck-1.4.0~rc4-25.1.x86_64/usr/lib64/python3.10/site-packages/bottleneck/slow/move.py:118: ValueError
[   40s] __________________________ test_list_input[move_rank] __________________________
[   40s] 
[   40s] func = <built-in function move_rank>
[   40s] 
[   40s]     @pytest.mark.parametrize("func", bn.get_functions("all"), ids=lambda x: x.__name__)
[   40s]     def test_list_input(func):
[   40s]         """Test that bn.xxx gives the same output as bn.slow.xxx for list input."""
[   40s]         msg = "\nfunc %s | input %s (%s) | shape %s\n"
[   40s]         msg += "\nInput array:\n%s\n"
[   40s]         name = func.__name__
[   40s]         if name == "replace":
[   40s]             return
[   40s]         func0 = eval("bn.slow.%s" % name)
[   40s]         for i, a in enumerate(lists()):
[   40s]             with warnings.catch_warnings():
[   40s]                 warnings.simplefilter("ignore")
[   40s]                 try:
[   40s] >                   actual = func(a)
[   40s] E                   TypeError: wrong number of arguments
[   40s] 
[   40s] ../../BUILDROOT/python-Bottleneck-1.4.0~rc4-25.1.x86_64/usr/lib64/python3.10/site-packages/bottleneck/tests/list_input_test.py:42: TypeError
[   40s] 
[   40s] During handling of the above exception, another exception occurred:
[   40s] 
[   40s] func = <built-in function move_rank>
[   40s] 
[   40s]     @pytest.mark.parametrize("func", bn.get_functions("all"), ids=lambda x: x.__name__)
[   40s]     def test_list_input(func):
[   40s]         """Test that bn.xxx gives the same output as bn.slow.xxx for list input."""
[   40s]         msg = "\nfunc %s | input %s (%s) | shape %s\n"
[   40s]         msg += "\nInput array:\n%s\n"
[   40s]         name = func.__name__
[   40s]         if name == "replace":
[   40s]             return
[   40s]         func0 = eval("bn.slow.%s" % name)
[   40s]         for i, a in enumerate(lists()):
[   40s]             with warnings.catch_warnings():
[   40s]                 warnings.simplefilter("ignore")
[   40s]                 try:
[   40s]                     actual = func(a)
[   40s]                     desired = func0(a)
[   40s]                 except TypeError:
[   40s]                     actual = func(a, 2)
[   40s] >                   desired = func0(a, 2)
[   40s] 
[   40s] ../../BUILDROOT/python-Bottleneck-1.4.0~rc4-25.1.x86_64/usr/lib64/python3.10/site-packages/bottleneck/tests/list_input_test.py:46: 
[   40s] _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
[   40s] ../../BUILDROOT/python-Bottleneck-1.4.0~rc4-25.1.x86_64/usr/lib64/python3.10/site-packages/bottleneck/slow/move.py:110: in move_rank
[   40s]     return move_func(lastrank, a, window, min_count, axis=axis)
[   40s] _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
[   40s] 
[   40s] func = <function lastrank at 0x7f9c84b3e7a0>, a = [0.0, 1.0, 2.0, 3.0]
[   40s] window = 2, min_count = None, axis = -1, kwargs = {}
[   40s] 
[   40s]     def move_func(func, a, window, min_count=None, axis=-1, **kwargs):
[   40s]         "Generic moving window function implemented with a python loop."
[   40s] >       a = np.array(a, copy=False)
[   40s] E       ValueError: Unable to avoid copy while creating an array as requested.
[   40s] E       If using `np.array(obj, copy=False)` replace it with `np.asarray(obj)` to allow a copy when needed (no behavior change in NumPy 1.x).
[   40s] E       For more details, see https://numpy.org/devdocs/numpy_2_0_migration_guide.html#adapting-to-changes-in-the-copy-keyword.
[   40s] 
[   40s] ../../BUILDROOT/python-Bottleneck-1.4.0~rc4-25.1.x86_64/usr/lib64/python3.10/site-packages/bottleneck/slow/move.py:118: ValueError
[   40s] __________________________ test_list_input[rankdata] ___________________________
[   40s] 
[   40s] func = <built-in function rankdata>
[   40s] 
[   40s]     @pytest.mark.parametrize("func", bn.get_functions("all"), ids=lambda x: x.__name__)
[   40s]     def test_list_input(func):
[   40s]         """Test that bn.xxx gives the same output as bn.slow.xxx for list input."""
[   40s]         msg = "\nfunc %s | input %s (%s) | shape %s\n"
[   40s]         msg += "\nInput array:\n%s\n"
[   40s]         name = func.__name__
[   40s]         if name == "replace":
[   40s]             return
[   40s]         func0 = eval("bn.slow.%s" % name)
[   40s]         for i, a in enumerate(lists()):
[   40s]             with warnings.catch_warnings():
[   40s]                 warnings.simplefilter("ignore")
[   40s]                 try:
[   40s]                     actual = func(a)
[   40s] >                   desired = func0(a)
[   40s] 
[   40s] ../../BUILDROOT/python-Bottleneck-1.4.0~rc4-25.1.x86_64/usr/lib64/python3.10/site-packages/bottleneck/tests/list_input_test.py:43: 
[   40s] _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
[   40s] ../../BUILDROOT/python-Bottleneck-1.4.0~rc4-25.1.x86_64/usr/lib64/python3.10/site-packages/bottleneck/slow/nonreduce_axis.py:9: in rankdata
[   40s]     return _rank(scipy_rankdata, a, axis)
[   40s] _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
[   40s] 
[   40s] func1d = <function scipy_rankdata at 0x7f9c84b3e050>, a = [0.0, 1.0, 2.0, 3.0]
[   40s] axis = None
[   40s] 
[   40s]     def _rank(func1d, a, axis):
[   40s] >       a = np.array(a, copy=False)
[   40s] E       ValueError: Unable to avoid copy while creating an array as requested.
[   40s] E       If using `np.array(obj, copy=False)` replace it with `np.asarray(obj)` to allow a copy when needed (no behavior change in NumPy 1.x).
[   40s] E       For more details, see https://numpy.org/devdocs/numpy_2_0_migration_guide.html#adapting-to-changes-in-the-copy-keyword.
[   40s] 
[   40s] ../../BUILDROOT/python-Bottleneck-1.4.0~rc4-25.1.x86_64/usr/lib64/python3.10/site-packages/bottleneck/slow/nonreduce_axis.py:18: ValueError
[   40s] _________________________ test_list_input[nanrankdata] _________________________
[   40s] 
[   40s] func = <built-in function nanrankdata>
[   40s] 
[   40s]     @pytest.mark.parametrize("func", bn.get_functions("all"), ids=lambda x: x.__name__)
[   40s]     def test_list_input(func):
[   40s]         """Test that bn.xxx gives the same output as bn.slow.xxx for list input."""
[   40s]         msg = "\nfunc %s | input %s (%s) | shape %s\n"
[   40s]         msg += "\nInput array:\n%s\n"
[   40s]         name = func.__name__
[   40s]         if name == "replace":
[   40s]             return
[   40s]         func0 = eval("bn.slow.%s" % name)
[   40s]         for i, a in enumerate(lists()):
[   40s]             with warnings.catch_warnings():
[   40s]                 warnings.simplefilter("ignore")
[   40s]                 try:
[   40s]                     actual = func(a)
[   40s] >                   desired = func0(a)
[   40s] 
[   40s] ../../BUILDROOT/python-Bottleneck-1.4.0~rc4-25.1.x86_64/usr/lib64/python3.10/site-packages/bottleneck/tests/list_input_test.py:43: 
[   40s] _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
[   40s] ../../BUILDROOT/python-Bottleneck-1.4.0~rc4-25.1.x86_64/usr/lib64/python3.10/site-packages/bottleneck/slow/nonreduce_axis.py:14: in nanrankdata
[   40s]     return _rank(_nanrankdata_1d, a, axis)
[   40s] _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
[   40s] 
[   40s] func1d = <function _nanrankdata_1d at 0x7f9c84b3df30>, a = [0.0, 1.0, 2.0, 3.0]
[   40s] axis = None
[   40s] 
[   40s]     def _rank(func1d, a, axis):
[   40s] >       a = np.array(a, copy=False)
[   40s] E       ValueError: Unable to avoid copy while creating an array as requested.
[   40s] E       If using `np.array(obj, copy=False)` replace it with `np.asarray(obj)` to allow a copy when needed (no behavior change in NumPy 1.x).
[   40s] E       For more details, see https://numpy.org/devdocs/numpy_2_0_migration_guide.html#adapting-to-changes-in-the-copy-keyword.
[   40s] 
[   40s] ../../BUILDROOT/python-Bottleneck-1.4.0~rc4-25.1.x86_64/usr/lib64/python3.10/site-packages/bottleneck/slow/nonreduce_axis.py:18: ValueError
[   40s] _________________________ test_scalar_input[rankdata] __________________________
[   40s] 
[   40s] func = <built-in function rankdata>, args = ()
[   40s] 
[   40s]     @pytest.mark.parametrize(
[   40s]         "func",
[   40s]         bn.get_functions("reduce") + bn.get_functions("nonreduce_axis"),  # noqa: W504
[   40s]         ids=lambda x: x.__name__,
[   40s]     )
[   40s]     def test_scalar_input(func, args=tuple()):
[   40s]         """Test that bn.xxx gives the same output as bn.slow.xxx for scalar input."""
[   40s]         if func.__name__ in ("partition", "argpartition", "push"):
[   40s]             return
[   40s]         func0 = eval("bn.slow.%s" % func.__name__)
[   40s]         msg = "\nfunc %s | input %s\n"
[   40s]         a = -9
[   40s]         argsi = [a] + list(args)
[   40s]         actual = func(*argsi)
[   40s] >       desired = func0(*argsi)
[   40s] 
[   40s] ../../BUILDROOT/python-Bottleneck-1.4.0~rc4-25.1.x86_64/usr/lib64/python3.10/site-packages/bottleneck/tests/scalar_input_test.py:22: 
[   40s] _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
[   40s] ../../BUILDROOT/python-Bottleneck-1.4.0~rc4-25.1.x86_64/usr/lib64/python3.10/site-packages/bottleneck/slow/nonreduce_axis.py:9: in rankdata
[   40s]     return _rank(scipy_rankdata, a, axis)
[   40s] _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
[   40s] 
[   40s] func1d = <function scipy_rankdata at 0x7f9c84b3e050>, a = -9, axis = None
[   40s] 
[   40s]     def _rank(func1d, a, axis):
[   40s] >       a = np.array(a, copy=False)
[   40s] E       ValueError: Unable to avoid copy while creating an array as requested.
[   40s] E       If using `np.array(obj, copy=False)` replace it with `np.asarray(obj)` to allow a copy when needed (no behavior change in NumPy 1.x).
[   40s] E       For more details, see https://numpy.org/devdocs/numpy_2_0_migration_guide.html#adapting-to-changes-in-the-copy-keyword.
[   40s] 
[   40s] ../../BUILDROOT/python-Bottleneck-1.4.0~rc4-25.1.x86_64/usr/lib64/python3.10/site-packages/bottleneck/slow/nonreduce_axis.py:18: ValueError
[   40s] ________________________ test_scalar_input[nanrankdata] ________________________
[   40s] 
[   40s] func = <built-in function nanrankdata>, args = ()
[   40s] 
[   40s]     @pytest.mark.parametrize(
[   40s]         "func",
[   40s]         bn.get_functions("reduce") + bn.get_functions("nonreduce_axis"),  # noqa: W504
[   40s]         ids=lambda x: x.__name__,
[   40s]     )
[   40s]     def test_scalar_input(func, args=tuple()):
[   40s]         """Test that bn.xxx gives the same output as bn.slow.xxx for scalar input."""
[   40s]         if func.__name__ in ("partition", "argpartition", "push"):
[   40s]             return
[   40s]         func0 = eval("bn.slow.%s" % func.__name__)
[   40s]         msg = "\nfunc %s | input %s\n"
[   40s]         a = -9
[   40s]         argsi = [a] + list(args)
[   40s]         actual = func(*argsi)
[   40s] >       desired = func0(*argsi)
[   40s] 
[   40s] ../../BUILDROOT/python-Bottleneck-1.4.0~rc4-25.1.x86_64/usr/lib64/python3.10/site-packages/bottleneck/tests/scalar_input_test.py:22: 
[   40s] _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
[   40s] ../../BUILDROOT/python-Bottleneck-1.4.0~rc4-25.1.x86_64/usr/lib64/python3.10/site-packages/bottleneck/slow/nonreduce_axis.py:14: in nanrankdata
[   40s]     return _rank(_nanrankdata_1d, a, axis)
[   40s] _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
[   40s] 
[   40s] func1d = <function _nanrankdata_1d at 0x7f9c84b3df30>, a = -9, axis = None
[   40s] 
[   40s]     def _rank(func1d, a, axis):
[   40s] >       a = np.array(a, copy=False)
[   40s] E       ValueError: Unable to avoid copy while creating an array as requested.
[   40s] E       If using `np.array(obj, copy=False)` replace it with `np.asarray(obj)` to allow a copy when needed (no behavior change in NumPy 1.x).
[   40s] E       For more details, see https://numpy.org/devdocs/numpy_2_0_migration_guide.html#adapting-to-changes-in-the-copy-keyword.
[   40s] 
[   40s] ../../BUILDROOT/python-Bottleneck-1.4.0~rc4-25.1.x86_64/usr/lib64/python3.10/site-packages/bottleneck/slow/nonreduce_axis.py:18: ValueError
[   40s] =========================== short test summary info ============================
[   40s] FAILED tests/list_input_test.py::test_list_input[move_sum] - ValueError: Unab...
[   40s] FAILED tests/list_input_test.py::test_list_input[move_mean] - ValueError: Una...
[   40s] FAILED tests/list_input_test.py::test_list_input[move_std] - ValueError: Unab...
[   40s] FAILED tests/list_input_test.py::test_list_input[move_var] - ValueError: Unab...
[   40s] FAILED tests/list_input_test.py::test_list_input[move_min] - ValueError: Unab...
[   40s] FAILED tests/list_input_test.py::test_list_input[move_max] - ValueError: Unab...
[   40s] FAILED tests/list_input_test.py::test_list_input[move_argmin] - ValueError: U...
[   40s] FAILED tests/list_input_test.py::test_list_input[move_argmax] - ValueError: U...
[   40s] FAILED tests/list_input_test.py::test_list_input[move_median] - ValueError: U...
[   40s] FAILED tests/list_input_test.py::test_list_input[move_rank] - ValueError: Una...
[   40s] FAILED tests/list_input_test.py::test_list_input[rankdata] - ValueError: Unab...
[   40s] FAILED tests/list_input_test.py::test_list_input[nanrankdata] - ValueError: U...
[   40s] FAILED tests/scalar_input_test.py::test_scalar_input[rankdata] - ValueError: ...
[   40s] FAILED tests/scalar_input_test.py::test_scalar_input[nanrankdata] - ValueErro...
[   40s] ================ 14 failed, 165 passed, 13 deselected in 6.25s =================

[astrofrog]

Yes it is building with Numpy 2.0rc1 but the test failures above are due to a change in API in Numpy 2.0 at runtime specifically the meaning of copy.

[astrofrog]

In Numpy 2.0, you should use copy=None to mean don't copy if possible - copy=False will now error if it can't avoid copying the array.

[rdbisme]

Care to push a PR which fixes the API change (and maybe edits the tests correctly?)