Description of problem:
Package python-animatplot fails to build from source in Fedora Rawhide.

Version-Release number of selected component (if applicable):
0.4.1-16.fc38

Steps to Reproduce:
koji build --scratch f39 python-animatplot-0.4.1-16.fc38.src.rpm

Additional info:
This package is tracked by Koschei. See:
https://koschei.fedoraproject.org/package/python-animatplot

Reproducible: Always




_____________________ TestLineBlock.test_ragged_list_input _____________________

self = <tests.test_blocks.TestLineBlock object at 0x7f7c1fd30290>

    def test_ragged_list_input(self):
        x_data = [np.array([1, 2, 3]), np.array([1, 2, 3, 4])]
        y_data = [np.array([5, 6, 7]), np.array([4, 2, 9, 10])]
    
        with pytest.raises(ValueError) as err:
            line_block = amp.blocks.Line(y_data)
>       assert "Must specify x data explicitly" in str(err)
E       assert 'Must specify x data explicitly' in "<ExceptionInfo ValueError('setting an array element with a sequence. The requested array has an inhomogeneous shape after 1 dimensions. The detected shape was (2,) + inhomogeneous part.') tblen=2>"
E        +  where "<ExceptionInfo ValueError('setting an array element with a sequence. The requested array has an inhomogeneous shape after 1 dimensions. The detected shape was (2,) + inhomogeneous part.') tblen=2>" = str(<ExceptionInfo ValueError('setting an array element with a sequence. The requested array has an inhomogeneous shape after 1 dimensions. The detected shape was (2,) + inhomogeneous part.') tblen=2>)

tests/test_blocks.py:146: AssertionError
___________________ TestLineBlock.test_bad_ragged_list_input ___________________

self = <tests.test_blocks.TestLineBlock object at 0x7f7c1fd30ad0>

    def test_bad_ragged_list_input(self):
>       x_data = np.array([np.array([1, 2, 3]), np.array([1, 2, 3, 4])])
E       ValueError: setting an array element with a sequence. The requested array has an inhomogeneous shape after 1 dimensions. The detected shape was (2,) + inhomogeneous part.

tests/test_blocks.py:154: ValueError

Likely started with the change from numpy 1.23.5 to 1.24.1