Inzynierka_Gwiazdy/machine_learning/Lib/site-packages/numpy/lib/utils.pyi

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2023-09-20 19:46:58 +02:00
from ast import AST
from collections.abc import Callable, Mapping, Sequence
from typing import (
Any,
overload,
TypeVar,
Protocol,
)
from numpy import ndarray, generic
from numpy.core.numerictypes import (
issubclass_ as issubclass_,
issubdtype as issubdtype,
issubsctype as issubsctype,
)
_T_contra = TypeVar("_T_contra", contravariant=True)
_FuncType = TypeVar("_FuncType", bound=Callable[..., Any])
# A file-like object opened in `w` mode
class _SupportsWrite(Protocol[_T_contra]):
def write(self, s: _T_contra, /) -> Any: ...
__all__: list[str]
class _Deprecate:
old_name: None | str
new_name: None | str
message: None | str
def __init__(
self,
old_name: None | str = ...,
new_name: None | str = ...,
message: None | str = ...,
) -> None: ...
# NOTE: `__call__` can in principle take arbitrary `*args` and `**kwargs`,
# even though they aren't used for anything
def __call__(self, func: _FuncType) -> _FuncType: ...
def get_include() -> str: ...
@overload
def deprecate(
*,
old_name: None | str = ...,
new_name: None | str = ...,
message: None | str = ...,
) -> _Deprecate: ...
@overload
def deprecate(
func: _FuncType,
/,
old_name: None | str = ...,
new_name: None | str = ...,
message: None | str = ...,
) -> _FuncType: ...
def deprecate_with_doc(msg: None | str) -> _Deprecate: ...
# NOTE: In practice `byte_bounds` can (potentially) take any object
# implementing the `__array_interface__` protocol. The caveat is
# that certain keys, marked as optional in the spec, must be present for
# `byte_bounds`. This concerns `"strides"` and `"data"`.
def byte_bounds(a: generic | ndarray[Any, Any]) -> tuple[int, int]: ...
def who(vardict: None | Mapping[str, ndarray[Any, Any]] = ...) -> None: ...
def info(
object: object = ...,
maxwidth: int = ...,
output: None | _SupportsWrite[str] = ...,
toplevel: str = ...,
) -> None: ...
def source(
object: object,
output: None | _SupportsWrite[str] = ...,
) -> None: ...
def lookfor(
what: str,
module: None | str | Sequence[str] = ...,
import_modules: bool = ...,
regenerate: bool = ...,
output: None | _SupportsWrite[str] =...,
) -> None: ...
def safe_eval(source: str | AST) -> Any: ...
def show_runtime() -> None: ...