Fix _is_tensorflow_array. - #30114
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The previous implementation was clearly wrong (the isinstance check would raise TypeError as the second argument would be a bool), but the tests didn't catch that because the bug led to _is_tensorflow_array returning False, then _unpack_to_numpy returning the original input, and then assert_array_equal implicitly converting `result` by calling `__array__` on it. Fix the test by explicitly checking that `result` is indeed a numpy array, and also fix _is_tensorflow_array with more restrictive exception catching (also applied to _is_torch_array, _is_jax_array, and _is_pandas_dataframe, while we're at it).
timhoffm
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May 27, 2025
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lib/matplotlib/cbook.py
timhoffm
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May 27, 2025
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Co-authored-by: Antony Lee <anntzer.lee@gmail.com>
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The previous implementation was clearly wrong (the isinstance check would raise TypeError as the second argument would be a bool), but the tests didn't catch that because the bug led to _is_tensorflow_array returning False, then _unpack_to_numpy returning the original input, and then assert_array_equal implicitly converting result by calling __array__ on it. Fix the test by explicitly checking that result is indeed a numpy array, and also fix _is_tensorflow_array with more restrictive exception catching (also applied to _is_torch_array, _is_jax_array, and _is_pandas_dataframe, while we're at it).
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