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171 lines
8.6 KiB
171 lines
8.6 KiB
"""
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This type stub file was generated by pyright.
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"""
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import os
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import zipfile
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import types
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from re import Pattern
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from collections.abc import Callable, Collection, Iterable, Iterator, Mapping, Sequence
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from typing import Any, Generic, IO, Literal as L, Protocol, TypeVar, overload
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from numpy import dtype, float64, generic, recarray, record, void
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from numpy.ma.mrecords import MaskedRecords
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from numpy._typing import ArrayLike, DTypeLike, NDArray, _DTypeLike, _SupportsArrayFunc
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_T = TypeVar("_T")
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_T_contra = TypeVar("_T_contra", contravariant=True)
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_T_co = TypeVar("_T_co", covariant=True)
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_SCT = TypeVar("_SCT", bound=generic)
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_CharType_co = TypeVar("_CharType_co", str, bytes, covariant=True)
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_CharType_contra = TypeVar("_CharType_contra", str, bytes, contravariant=True)
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class _SupportsGetItem(Protocol[_T_contra, _T_co]):
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def __getitem__(self, key: _T_contra, /) -> _T_co:
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...
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class _SupportsRead(Protocol[_CharType_co]):
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def read(self) -> _CharType_co:
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...
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class _SupportsReadSeek(Protocol[_CharType_co]):
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def read(self, n: int, /) -> _CharType_co:
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...
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def seek(self, offset: int, whence: int, /) -> object:
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...
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class _SupportsWrite(Protocol[_CharType_contra]):
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def write(self, s: _CharType_contra, /) -> object:
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...
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__all__: list[str]
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class BagObj(Generic[_T_co]):
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def __init__(self, obj: _SupportsGetItem[str, _T_co]) -> None:
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...
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def __getattribute__(self, key: str) -> _T_co:
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...
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def __dir__(self) -> list[str]:
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...
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class NpzFile(Mapping[str, NDArray[Any]]):
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zip: zipfile.ZipFile
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fid: None | IO[str]
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files: list[str]
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allow_pickle: bool
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pickle_kwargs: None | Mapping[str, Any]
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_MAX_REPR_ARRAY_COUNT: int
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@property
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def f(self: _T) -> BagObj[_T]:
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...
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@f.setter
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def f(self: _T, value: BagObj[_T]) -> None:
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...
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def __init__(self, fid: IO[str], own_fid: bool = ..., allow_pickle: bool = ..., pickle_kwargs: None | Mapping[str, Any] = ...) -> None:
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...
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def __enter__(self: _T) -> _T:
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...
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def __exit__(self, exc_type: None | type[BaseException], exc_value: None | BaseException, traceback: None | types.TracebackType, /) -> None:
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...
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def close(self) -> None:
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...
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def __del__(self) -> None:
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...
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def __iter__(self) -> Iterator[str]:
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...
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def __len__(self) -> int:
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...
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def __getitem__(self, key: str) -> NDArray[Any]:
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...
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def __contains__(self, key: str) -> bool:
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...
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def __repr__(self) -> str:
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...
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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:
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...
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def save(file: str | os.PathLike[str] | _SupportsWrite[bytes], arr: ArrayLike, allow_pickle: bool = ..., fix_imports: bool = ...) -> None:
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...
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def savez(file: str | os.PathLike[str] | _SupportsWrite[bytes], *args: ArrayLike, **kwds: ArrayLike) -> None:
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...
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def savez_compressed(file: str | os.PathLike[str] | _SupportsWrite[bytes], *args: ArrayLike, **kwds: ArrayLike) -> None:
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...
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@overload
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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]:
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...
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@overload
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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]:
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...
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@overload
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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]:
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...
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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:
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...
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@overload
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def fromregex(file: str | os.PathLike[str] | _SupportsRead[str] | _SupportsRead[bytes], regexp: str | bytes | Pattern[Any], dtype: _DTypeLike[_SCT], encoding: None | str = ...) -> NDArray[_SCT]:
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...
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@overload
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def fromregex(file: str | os.PathLike[str] | _SupportsRead[str] | _SupportsRead[bytes], regexp: str | bytes | Pattern[Any], dtype: DTypeLike, encoding: None | str = ...) -> NDArray[Any]:
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...
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@overload
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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]:
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...
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@overload
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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]:
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...
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@overload
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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]:
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...
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@overload
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def recfromtxt(fname: str | os.PathLike[str] | Iterable[str] | Iterable[bytes], *, usemask: L[False] = ..., **kwargs: Any) -> recarray[Any, dtype[record]]:
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...
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@overload
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def recfromtxt(fname: str | os.PathLike[str] | Iterable[str] | Iterable[bytes], *, usemask: L[True], **kwargs: Any) -> MaskedRecords[Any, dtype[void]]:
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...
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@overload
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def recfromcsv(fname: str | os.PathLike[str] | Iterable[str] | Iterable[bytes], *, usemask: L[False] = ..., **kwargs: Any) -> recarray[Any, dtype[record]]:
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...
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@overload
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def recfromcsv(fname: str | os.PathLike[str] | Iterable[str] | Iterable[bytes], *, usemask: L[True], **kwargs: Any) -> MaskedRecords[Any, dtype[void]]:
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...
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