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

Editing: 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: ...

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 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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