scikit-image

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import os
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import numpy as np
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import skimage
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def _channel_kwarg(is_multichannel=False):
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    if np.lib.NumpyVersion(skimage.__version__) < '0.19.0':
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        return dict(multichannel=is_multichannel)
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    else:
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        return dict(channel_axis=-1 if is_multichannel else None)
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def _skip_slow():
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    """
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    Use this function to skip slow or highly demanding tests.
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    Use it as a `Class.setup` method or a `function.setup` attribute.
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    For example:
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    >>> from . import _skip_slow
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    >>> def time_something_slow():
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            pass
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    >>> time_something.setup = _skip_slow
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    """
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    if os.environ.get("ASV_SKIP_SLOW", "0") == "1":
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        raise NotImplementedError("Skipping this test...")
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