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File/Folder	Size	Actions
__init__.py	2.7 KB	Del OK
__init__.pyi	5.46 KB	Del OK
__pycache__	-	Del OK
_datasource.py	22.1 KB	Del OK
_iotools.py	30.14 KB	Del OK
_version.py	4.74 KB	Del OK
_version.pyi	633 B	Del OK
arraypad.py	31.06 KB	Del OK
arraypad.pyi	1.69 KB	Del OK
arraysetops.py	32.87 KB	Del OK
arraysetops.pyi	8.14 KB	Del OK
arrayterator.py	6.9 KB	Del OK
arrayterator.pyi	1.5 KB	Del OK
format.py	33.95 KB	Del OK
format.pyi	748 B	Del OK
function_base.py	184.67 KB	Del OK
function_base.pyi	16.2 KB	Del OK
histograms.py	36.81 KB	Del OK
histograms.pyi	995 B	Del OK
index_tricks.py	30.61 KB	Del OK
index_tricks.pyi	4.15 KB	Del OK
mixins.py	6.91 KB	Del OK
mixins.pyi	3.04 KB	Del OK
nanfunctions.py	64.23 KB	Del OK
nanfunctions.pyi	606 B	Del OK
npyio.py	95.04 KB	Del OK
npyio.pyi	9.5 KB	Del OK
polynomial.py	43.1 KB	Del OK
polynomial.pyi	6.79 KB	Del OK
recfunctions.py	58.03 KB	Del OK
scimath.py	14.68 KB	Del OK
scimath.pyi	2.82 KB	Del OK
setup.py	405 B	Del OK
shape_base.py	38.03 KB	Del OK
shape_base.pyi	5.06 KB	Del OK
stride_tricks.py	17.49 KB	Del OK
stride_tricks.pyi	1.71 KB	Del OK
tests	-	Del OK
twodim_base.py	32.17 KB	Del OK
twodim_base.pyi	5.24 KB	Del OK
type_check.py	19.49 KB	Del OK
type_check.pyi	5.44 KB	Del OK
ufunclike.py	6.18 KB	Del OK
ufunclike.pyi	1.26 KB	Del OK
user_array.py	7.54 KB	Del OK
utils.py	36.92 KB	Del OK
utils.pyi	2.3 KB	Del OK

Edit: npyio.pyi

import os import sys import zipfile import types from re import Pattern from collections.abc import Collection, Mapping, Iterator, Sequence, Callable, Iterable from typing import ( Literal as L, Any, TypeVar, Generic, IO, overload, Protocol, ) from numpy import ( DataSource as DataSource, ndarray, recarray, dtype, generic, float64, void, record, ) from numpy.ma.mrecords import MaskedRecords from numpy._typing import ( ArrayLike, DTypeLike, NDArray, _DTypeLike, _SupportsArrayFunc, ) from numpy.core.multiarray import ( packbits as packbits, unpackbits as unpackbits, ) _T = TypeVar("_T") _T_contra = TypeVar("_T_contra", contravariant=True) _T_co = TypeVar("_T_co", covariant=True) _SCT = TypeVar("_SCT", bound=generic) _CharType_co = TypeVar("_CharType_co", str, bytes, covariant=True) _CharType_contra = TypeVar("_CharType_contra", str, bytes, contravariant=True) class _SupportsGetItem(Protocol[_T_contra, _T_co]): def __getitem__(self, key: _T_contra, /) -> _T_co: ... class _SupportsRead(Protocol[_CharType_co]): def read(self) -> _CharType_co: ... class _SupportsReadSeek(Protocol[_CharType_co]): def read(self, n: int, /) -> _CharType_co: ... def seek(self, offset: int, whence: int, /) -> object: ... class _SupportsWrite(Protocol[_CharType_contra]): def write(self, s: _CharType_contra, /) -> object: ... __all__: list[str] class BagObj(Generic[_T_co]): def __init__(self, obj: _SupportsGetItem[str, _T_co]) -> None: ... def __getattribute__(self, key: str) -> _T_co: ... def __dir__(self) -> list[str]: ... class NpzFile(Mapping[str, NDArray[Any]]): zip: zipfile.ZipFile fid: None | IO[str] files: list[str] allow_pickle: bool pickle_kwargs: None | Mapping[str, Any] _MAX_REPR_ARRAY_COUNT: int # Represent `f` as a mutable property so we can access the type of `self` @property def f(self: _T) -> BagObj[_T]: ... @f.setter def f(self: _T, value: BagObj[_T]) -> None: ... def __init__( self, fid: IO[str], own_fid: bool = ..., allow_pickle: bool = ..., pickle_kwargs: None | Mapping[str, Any] = ..., ) -> None: ... def __enter__(self: _T) -> _T: ... def __exit__( self, exc_type: None | type[BaseException], exc_value: None | BaseException, traceback: None | types.TracebackType, /, ) -> None: ... def close(self) -> None: ... def __del__(self) -> None: ... def __iter__(self) -> Iterator[str]: ... def __len__(self) -> int: ... def __getitem__(self, key: str) -> NDArray[Any]: ... def __contains__(self, key: str) -> bool: ... def __repr__(self) -> str: ... # NOTE: Returns a `NpzFile` if file is a zip file; # returns an `ndarray`/`memmap` otherwise def load( file: str | bytes | os.PathLike[Any] | _SupportsReadSeek[bytes], mmap_mode: L[None, "r+", "r", "w+", "c"] = ..., allow_pickle: bool = ..., fix_imports: bool = ..., encoding: L["ASCII", "latin1", "bytes"] = ..., ) -> Any: ... def save( file: str | os.PathLike[str] | _SupportsWrite[bytes], arr: ArrayLike, allow_pickle: bool = ..., fix_imports: bool = ..., ) -> None: ... def savez( file: str | os.PathLike[str] | _SupportsWrite[bytes], *args: ArrayLike, **kwds: ArrayLike, ) -> None: ... def savez_compressed( file: str | os.PathLike[str] | _SupportsWrite[bytes], *args: ArrayLike, **kwds: ArrayLike, ) -> None: ... # File-like objects only have to implement `__iter__` and, # optionally, `encoding` @overload def loadtxt( fname: str | os.PathLike[str] | Iterable[str] | Iterable[bytes], dtype: None = ..., comments: None | str | Sequence[str] = ..., delimiter: None | str = ..., converters: None | Mapping[int | str, Callable[[str], Any]] = ..., skiprows: int = ..., usecols: int | Sequence[int] = ..., unpack: bool = ..., ndmin: L[0, 1, 2] = ..., encoding: None | str = ..., max_rows: None | int = ..., *, quotechar: None | str = ..., like: None | _SupportsArrayFunc = ... ) -> NDArray[float64]: ... @overload def loadtxt( fname: str | os.PathLike[str] | Iterable[str] | Iterable[bytes], dtype: _DTypeLike[_SCT], comments: None | str | Sequence[str] = ..., delimiter: None | str = ..., converters: None | Mapping[int | str, Callable[[str], Any]] = ..., skiprows: int = ..., usecols: int | Sequence[int] = ..., unpack: bool = ..., ndmin: L[0, 1, 2] = ..., encoding: None | str = ..., max_rows: None | int = ..., *, quotechar: None | str = ..., like: None | _SupportsArrayFunc = ... ) -> NDArray[_SCT]: ... @overload def loadtxt( fname: str | os.PathLike[str] | Iterable[str] | Iterable[bytes], dtype: DTypeLike, comments: None | str | Sequence[str] = ..., delimiter: None | str = ..., converters: None | Mapping[int | str, Callable[[str], Any]] = ..., skiprows: int = ..., usecols: int | Sequence[int] = ..., unpack: bool = ..., ndmin: L[0, 1, 2] = ..., encoding: None | str = ..., max_rows: None | int = ..., *, quotechar: None | str = ..., like: None | _SupportsArrayFunc = ... ) -> NDArray[Any]: ... def savetxt( fname: str | os.PathLike[str] | _SupportsWrite[str] | _SupportsWrite[bytes], X: ArrayLike, fmt: str | Sequence[str] = ..., delimiter: str = ..., newline: str = ..., header: str = ..., footer: str = ..., comments: str = ..., encoding: None | str = ..., ) -> None: ... @overload def fromregex( file: str | os.PathLike[str] | _SupportsRead[str] | _SupportsRead[bytes], regexp: str | bytes | Pattern[Any], dtype: _DTypeLike[_SCT], encoding: None | str = ... ) -> NDArray[_SCT]: ... @overload def fromregex( file: str | os.PathLike[str] | _SupportsRead[str] | _SupportsRead[bytes], regexp: str | bytes | Pattern[Any], dtype: DTypeLike, encoding: None | str = ... ) -> NDArray[Any]: ... @overload def genfromtxt( fname: str | os.PathLike[str] | Iterable[str] | Iterable[bytes], dtype: None = ..., comments: str = ..., delimiter: None | str | int | Iterable[int] = ..., skip_header: int = ..., skip_footer: int = ..., converters: None | Mapping[int | str, Callable[[str], Any]] = ..., missing_values: Any = ..., filling_values: Any = ..., usecols: None | Sequence[int] = ..., names: L[None, True] | str | Collection[str] = ..., excludelist: None | Sequence[str] = ..., deletechars: str = ..., replace_space: str = ..., autostrip: bool = ..., case_sensitive: bool | L['upper', 'lower'] = ..., defaultfmt: str = ..., unpack: None | bool = ..., usemask: bool = ..., loose: bool = ..., invalid_raise: bool = ..., max_rows: None | int = ..., encoding: str = ..., *, ndmin: L[0, 1, 2] = ..., like: None | _SupportsArrayFunc = ..., ) -> NDArray[Any]: ... @overload def genfromtxt( fname: str | os.PathLike[str] | Iterable[str] | Iterable[bytes], dtype: _DTypeLike[_SCT], comments: str = ..., delimiter: None | str | int | Iterable[int] = ..., skip_header: int = ..., skip_footer: int = ..., converters: None | Mapping[int | str, Callable[[str], Any]] = ..., missing_values: Any = ..., filling_values: Any = ..., usecols: None | Sequence[int] = ..., names: L[None, True] | str | Collection[str] = ..., excludelist: None | Sequence[str] = ..., deletechars: str = ..., replace_space: str = ..., autostrip: bool = ..., case_sensitive: bool | L['upper', 'lower'] = ..., defaultfmt: str = ..., unpack: None | bool = ..., usemask: bool = ..., loose: bool = ..., invalid_raise: bool = ..., max_rows: None | int = ..., encoding: str = ..., *, ndmin: L[0, 1, 2] = ..., like: None | _SupportsArrayFunc = ..., ) -> NDArray[_SCT]: ... @overload def genfromtxt( fname: str | os.PathLike[str] | Iterable[str] | Iterable[bytes], dtype: DTypeLike, comments: str = ..., delimiter: None | str | int | Iterable[int] = ..., skip_header: int = ..., skip_footer: int = ..., converters: None | Mapping[int | str, Callable[[str], Any]] = ..., missing_values: Any = ..., filling_values: Any = ..., usecols: None | Sequence[int] = ..., names: L[None, True] | str | Collection[str] = ..., excludelist: None | Sequence[str] = ..., deletechars: str = ..., replace_space: str = ..., autostrip: bool = ..., case_sensitive: bool | L['upper', 'lower'] = ..., defaultfmt: str = ..., unpack: None | bool = ..., usemask: bool = ..., loose: bool = ..., invalid_raise: bool = ..., max_rows: None | int = ..., encoding: str = ..., *, ndmin: L[0, 1, 2] = ..., like: None | _SupportsArrayFunc = ..., ) -> NDArray[Any]: ... @overload def recfromtxt( fname: str | os.PathLike[str] | Iterable[str] | Iterable[bytes], *, usemask: L[False] = ..., **kwargs: Any, ) -> recarray[Any, dtype[record]]: ... @overload def recfromtxt( fname: str | os.PathLike[str] | Iterable[str] | Iterable[bytes], *, usemask: L[True], **kwargs: Any, ) -> MaskedRecords[Any, dtype[void]]: ... @overload def recfromcsv( fname: str | os.PathLike[str] | Iterable[str] | Iterable[bytes], *, usemask: L[False] = ..., **kwargs: Any, ) -> recarray[Any, dtype[record]]: ... @overload def recfromcsv( fname: str | os.PathLike[str] | Iterable[str] | Iterable[bytes], *, usemask: L[True], **kwargs: Any, ) -> MaskedRecords[Any, dtype[void]]: ...
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