""" This type stub file was generated by pyright. """ import os import zipfile import types from re import Pattern from collections.abc import Callable, Collection, Iterable, Iterator, Mapping, Sequence from typing import Any, Generic, IO, Literal as L, Protocol, TypeVar, overload from numpy import dtype, float64, generic, recarray, record, void from numpy.ma.mrecords import MaskedRecords from numpy._typing import ArrayLike, DTypeLike, NDArray, _DTypeLike, _SupportsArrayFunc _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 @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: ... 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: ... @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]]: ...