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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: __init__.py
""" **Note:** almost all functions in the ``numpy.lib`` namespace are also present in the main ``numpy`` namespace. Please use the functions as ``np.<funcname>`` where possible. ``numpy.lib`` is mostly a space for implementing functions that don't belong in core or in another NumPy submodule with a clear purpose (e.g. ``random``, ``fft``, ``linalg``, ``ma``). Most contains basic functions that are used by several submodules and are useful to have in the main name-space. """ from numpy.version import version as __version__ # Public submodules # Note: recfunctions and (maybe) format are public too, but not imported from . import mixins from . import scimath as emath # Private submodules # load module names. See https://github.com/networkx/networkx/issues/5838 from . import type_check from . import index_tricks from . import function_base from . import nanfunctions from . import shape_base from . import stride_tricks from . import twodim_base from . import ufunclike from . import histograms from . import polynomial from . import utils from . import arraysetops from . import npyio from . import arrayterator from . import arraypad from . import _version from .type_check import * from .index_tricks import * from .function_base import * from .nanfunctions import * from .shape_base import * from .stride_tricks import * from .twodim_base import * from .ufunclike import * from .histograms import * from .polynomial import * from .utils import * from .arraysetops import * from .npyio import * from .arrayterator import Arrayterator from .arraypad import * from ._version import * from numpy.core._multiarray_umath import tracemalloc_domain __all__ = ['emath', 'tracemalloc_domain', 'Arrayterator'] __all__ += type_check.__all__ __all__ += index_tricks.__all__ __all__ += function_base.__all__ __all__ += shape_base.__all__ __all__ += stride_tricks.__all__ __all__ += twodim_base.__all__ __all__ += ufunclike.__all__ __all__ += arraypad.__all__ __all__ += polynomial.__all__ __all__ += utils.__all__ __all__ += arraysetops.__all__ __all__ += npyio.__all__ __all__ += nanfunctions.__all__ __all__ += histograms.__all__ from numpy._pytesttester import PytestTester test = PytestTester(__name__) del PytestTester def __getattr__(attr): # Warn for reprecated attributes import math import warnings if attr == 'math': warnings.warn( "`np.lib.math` is a deprecated alias for the standard library " "`math` module (Deprecated Numpy 1.25). Replace usages of " "`numpy.lib.math` with `math`", DeprecationWarning, stacklevel=2) return math else: raise AttributeError("module {!r} has no attribute " "{!r}".format(__name__, attr))
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