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