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nvim_config/typings/numpy/lib/npyio.pyi

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"""
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]]:
...