Initial configuration commit
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commit
31c8abea59
266 changed files with 780274 additions and 0 deletions
236
typings/matplotlib/cbook.pyi
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236
typings/matplotlib/cbook.pyi
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"""
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This type stub file was generated by pyright.
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"""
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import collections.abc
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import contextlib
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import os
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import numpy as np
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from collections.abc import Callable, Collection, Generator, Iterable, Iterator
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from matplotlib.artist import Artist
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from numpy.typing import ArrayLike
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from typing import Any, Generic, IO, Literal, TypeVar, overload
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_T = TypeVar("_T")
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class CallbackRegistry:
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exception_handler: Callable[[Exception], Any]
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callbacks: dict[Any, dict[int, Any]]
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def __init__(self, exception_handler: Callable[[Exception], Any] | None = ..., *, signals: Iterable[Any] | None = ...) -> None:
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...
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def connect(self, signal: Any, func: Callable) -> int:
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...
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def disconnect(self, cid: int) -> None:
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...
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def process(self, s: Any, *args, **kwargs) -> None:
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...
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def blocked(self, *, signal: Any | None = ...) -> contextlib.AbstractContextManager[None]:
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...
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class silent_list(list[_T]):
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type: str | None
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def __init__(self, type: str | None, seq: Iterable[_T] | None = ...) -> None:
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...
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def strip_math(s: str) -> str:
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...
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def is_writable_file_like(obj: Any) -> bool:
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...
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def file_requires_unicode(x: Any) -> bool:
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...
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@overload
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def to_filehandle(fname: str | os.PathLike | IO, flag: str = ..., return_opened: Literal[False] = ..., encoding: str | None = ...) -> IO:
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...
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@overload
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def to_filehandle(fname: str | os.PathLike | IO, flag: str, return_opened: Literal[True], encoding: str | None = ...) -> tuple[IO, bool]:
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...
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@overload
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def to_filehandle(fname: str | os.PathLike | IO, *, return_opened: Literal[True], encoding: str | None = ...) -> tuple[IO, bool]:
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...
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def open_file_cm(path_or_file: str | os.PathLike | IO, mode: str = ..., encoding: str | None = ...) -> contextlib.AbstractContextManager[IO]:
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...
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def is_scalar_or_string(val: Any) -> bool:
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...
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@overload
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def get_sample_data(fname: str | os.PathLike, asfileobj: Literal[True] = ..., *, np_load: Literal[True]) -> np.ndarray:
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...
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@overload
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def get_sample_data(fname: str | os.PathLike, asfileobj: Literal[True] = ..., *, np_load: Literal[False] = ...) -> IO:
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...
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@overload
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def get_sample_data(fname: str | os.PathLike, asfileobj: Literal[False], *, np_load: bool = ...) -> str:
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...
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def flatten(seq: Iterable[Any], scalarp: Callable[[Any], bool] = ...) -> Generator[Any, None, None]:
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...
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class Stack(Generic[_T]):
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def __init__(self, default: _T | None = ...) -> None:
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...
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def __call__(self) -> _T:
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...
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def __len__(self) -> int:
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...
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def __getitem__(self, ind: int) -> _T:
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...
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def forward(self) -> _T:
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...
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def back(self) -> _T:
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...
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def push(self, o: _T) -> _T:
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...
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def home(self) -> _T:
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...
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def empty(self) -> bool:
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...
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def clear(self) -> None:
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...
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def bubble(self, o: _T) -> _T:
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...
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def remove(self, o: _T) -> None:
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...
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def safe_masked_invalid(x: ArrayLike, copy: bool = ...) -> np.ndarray:
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...
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def print_cycles(objects: Iterable[Any], outstream: IO = ..., show_progress: bool = ...) -> None:
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...
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class Grouper(Generic[_T]):
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def __init__(self, init: Iterable[_T] = ...) -> None:
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...
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def __contains__(self, item: _T) -> bool:
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...
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def clean(self) -> None:
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...
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def join(self, a: _T, *args: _T) -> None:
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...
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def joined(self, a: _T, b: _T) -> bool:
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...
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def remove(self, a: _T) -> None:
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...
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def __iter__(self) -> Iterator[list[_T]]:
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...
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def get_siblings(self, a: _T) -> list[_T]:
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...
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class GrouperView(Generic[_T]):
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def __init__(self, grouper: Grouper[_T]) -> None:
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...
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def __contains__(self, item: _T) -> bool:
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...
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def __iter__(self) -> Iterator[list[_T]]:
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...
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def joined(self, a: _T, b: _T) -> bool:
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...
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def get_siblings(self, a: _T) -> list[_T]:
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...
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def simple_linear_interpolation(a: ArrayLike, steps: int) -> np.ndarray:
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...
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def delete_masked_points(*args):
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...
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def boxplot_stats(X: ArrayLike, whis: float | tuple[float, float] = ..., bootstrap: int | None = ..., labels: ArrayLike | None = ..., autorange: bool = ...) -> list[dict[str, Any]]:
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...
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ls_mapper: dict[str, str]
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ls_mapper_r: dict[str, str]
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def contiguous_regions(mask: ArrayLike) -> list[np.ndarray]:
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...
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def is_math_text(s: str) -> bool:
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...
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def violin_stats(X: ArrayLike, method: Callable, points: int = ..., quantiles: ArrayLike | None = ...) -> list[dict[str, Any]]:
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...
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def pts_to_prestep(x: ArrayLike, *args: ArrayLike) -> np.ndarray:
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...
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def pts_to_poststep(x: ArrayLike, *args: ArrayLike) -> np.ndarray:
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...
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def pts_to_midstep(x: np.ndarray, *args: np.ndarray) -> np.ndarray:
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...
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STEP_LOOKUP_MAP: dict[str, Callable]
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def index_of(y: float | ArrayLike) -> tuple[np.ndarray, np.ndarray]:
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...
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def safe_first_element(obj: Collection[_T]) -> _T:
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...
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def sanitize_sequence(data):
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...
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def normalize_kwargs(kw: dict[str, Any], alias_mapping: dict[str, list[str]] | type[Artist] | Artist | None = ...) -> dict[str, Any]:
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...
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class _OrderedSet(collections.abc.MutableSet):
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def __init__(self) -> None:
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...
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def __contains__(self, key) -> bool:
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...
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def __iter__(self):
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...
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def __len__(self) -> int:
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...
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def add(self, key) -> None:
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...
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def discard(self, key) -> None:
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...
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