""" support numpy compatibility across versions """
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import warnings
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import numpy as np
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from pandas.util.version import Version
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# numpy versioning
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_np_version = np.__version__
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_nlv = Version(_np_version)
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np_version_lt1p23 = _nlv < Version("1.23")
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np_version_gte1p24 = _nlv >= Version("1.24")
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np_version_gte1p24p3 = _nlv >= Version("1.24.3")
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np_version_gte1p25 = _nlv >= Version("1.25")
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np_version_gt2 = _nlv >= Version("2.0.0")
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is_numpy_dev = _nlv.dev is not None
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_min_numpy_ver = "1.22.4"
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if _nlv < Version(_min_numpy_ver):
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raise ImportError(
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f"this version of pandas is incompatible with numpy < {_min_numpy_ver}\n"
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f"your numpy version is {_np_version}.\n"
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f"Please upgrade numpy to >= {_min_numpy_ver} to use this pandas version"
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)
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np_long: type
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np_ulong: type
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if np_version_gt2:
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try:
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with warnings.catch_warnings():
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warnings.filterwarnings(
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"ignore",
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r".*In the future `np\.long` will be defined as.*",
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FutureWarning,
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)
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np_long = np.long # type: ignore[attr-defined]
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np_ulong = np.ulong # type: ignore[attr-defined]
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except AttributeError:
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np_long = np.int_
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np_ulong = np.uint
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else:
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np_long = np.int_
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np_ulong = np.uint
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__all__ = [
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"np",
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"_np_version",
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"is_numpy_dev",
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]
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