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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: utils.pyi
from ast import AST from collections.abc import Callable, Mapping, Sequence from typing import ( Any, overload, TypeVar, Protocol, ) from numpy import ndarray, generic from numpy.core.numerictypes import ( issubclass_ as issubclass_, issubdtype as issubdtype, issubsctype as issubsctype, ) _T_contra = TypeVar("_T_contra", contravariant=True) _FuncType = TypeVar("_FuncType", bound=Callable[..., Any]) # A file-like object opened in `w` mode class _SupportsWrite(Protocol[_T_contra]): def write(self, s: _T_contra, /) -> Any: ... __all__: list[str] class _Deprecate: old_name: None | str new_name: None | str message: None | str def __init__( self, old_name: None | str = ..., new_name: None | str = ..., message: None | str = ..., ) -> None: ... # NOTE: `__call__` can in principle take arbitrary `*args` and `**kwargs`, # even though they aren't used for anything def __call__(self, func: _FuncType) -> _FuncType: ... def get_include() -> str: ... @overload def deprecate( *, old_name: None | str = ..., new_name: None | str = ..., message: None | str = ..., ) -> _Deprecate: ... @overload def deprecate( func: _FuncType, /, old_name: None | str = ..., new_name: None | str = ..., message: None | str = ..., ) -> _FuncType: ... def deprecate_with_doc(msg: None | str) -> _Deprecate: ... # NOTE: In practice `byte_bounds` can (potentially) take any object # implementing the `__array_interface__` protocol. The caveat is # that certain keys, marked as optional in the spec, must be present for # `byte_bounds`. This concerns `"strides"` and `"data"`. def byte_bounds(a: generic | ndarray[Any, Any]) -> tuple[int, int]: ... def who(vardict: None | Mapping[str, ndarray[Any, Any]] = ...) -> None: ... def info( object: object = ..., maxwidth: int = ..., output: None | _SupportsWrite[str] = ..., toplevel: str = ..., ) -> None: ... def source( object: object, output: None | _SupportsWrite[str] = ..., ) -> None: ... def lookfor( what: str, module: None | str | Sequence[str] = ..., import_modules: bool = ..., regenerate: bool = ..., output: None | _SupportsWrite[str] =..., ) -> None: ... def safe_eval(source: str | AST) -> Any: ... def show_runtime() -> None: ...
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