PATH: //opt/cloudlinux/venv/lib/python3.11/site-packages/numpy/lib
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📄 __init__.py
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📄 __init__.pyi
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📁 __pycache__/
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📄 _datasource.py
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📄 _iotools.py
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📄 _version.py
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📄 _version.pyi
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📄 arraypad.py
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📄 arraypad.pyi
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📄 arraysetops.py
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📄 arraysetops.pyi
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📄 arrayterator.py
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📄 arrayterator.pyi
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📄 format.py
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📄 format.pyi
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📄 function_base.py
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📄 function_base.pyi
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📄 histograms.py
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📄 histograms.pyi
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📄 index_tricks.py
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📄 index_tricks.pyi
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📄 mixins.py
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📄 mixins.pyi
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📄 nanfunctions.py
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📄 nanfunctions.pyi
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📄 npyio.py
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📄 npyio.pyi
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📄 polynomial.py
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📄 polynomial.pyi
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📄 recfunctions.py
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📄 scimath.py
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📄 scimath.pyi
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📄 setup.py
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📄 shape_base.py
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📄 shape_base.pyi
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📄 stride_tricks.py
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📄 stride_tricks.pyi
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📁 tests/
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📄 twodim_base.py
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📄 twodim_base.pyi
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📄 type_check.py
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📄 type_check.pyi
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📄 ufunclike.py
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📄 ufunclike.pyi
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📄 user_array.py
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📄 utils.py
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📄 utils.pyi
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EDITING: histograms.pyi
from collections.abc import Sequence from typing import ( Literal as L, Any, SupportsIndex, ) from numpy._typing import ( NDArray, ArrayLike, ) _BinKind = L[ "stone", "auto", "doane", "fd", "rice", "scott", "sqrt", "sturges", ] __all__: list[str] def histogram_bin_edges( a: ArrayLike, bins: _BinKind | SupportsIndex | ArrayLike = ..., range: None | tuple[float, float] = ..., weights: None | ArrayLike = ..., ) -> NDArray[Any]: ... def histogram( a: ArrayLike, bins: _BinKind | SupportsIndex | ArrayLike = ..., range: None | tuple[float, float] = ..., density: bool = ..., weights: None | ArrayLike = ..., ) -> tuple[NDArray[Any], NDArray[Any]]: ... def histogramdd( sample: ArrayLike, bins: SupportsIndex | ArrayLike = ..., range: Sequence[tuple[float, float]] = ..., density: None | bool = ..., weights: None | ArrayLike = ..., ) -> tuple[NDArray[Any], list[NDArray[Any]]]: ...
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