Initial configuration commit
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commit
31c8abea59
266 changed files with 780274 additions and 0 deletions
604
typings/matplotlib/transforms.pyi
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604
typings/matplotlib/transforms.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 numpy as np
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from .path import Path
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from .patches import Patch
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from .figure import Figure
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from numpy.typing import ArrayLike
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from collections.abc import Iterable, Sequence
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from typing import Literal
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DEBUG: bool
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class TransformNode:
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INVALID_NON_AFFINE: int
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INVALID_AFFINE: int
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INVALID: int
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is_bbox: bool
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@property
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def is_affine(self) -> bool:
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...
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pass_through: bool
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def __init__(self, shorthand_name: str | None = ...) -> None:
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...
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def __copy__(self) -> TransformNode:
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...
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def invalidate(self) -> None:
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...
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def set_children(self, *children: TransformNode) -> None:
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...
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def frozen(self) -> TransformNode:
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...
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class BboxBase(TransformNode):
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is_bbox: bool
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is_affine: bool
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def frozen(self) -> Bbox:
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...
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def __array__(self, *args, **kwargs):
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...
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@property
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def x0(self) -> float:
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...
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@property
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def y0(self) -> float:
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...
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@property
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def x1(self) -> float:
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...
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@property
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def y1(self) -> float:
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...
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@property
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def p0(self) -> tuple[float, float]:
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...
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@property
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def p1(self) -> tuple[float, float]:
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...
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@property
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def xmin(self) -> float:
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...
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@property
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def ymin(self) -> float:
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...
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@property
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def xmax(self) -> float:
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...
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@property
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def ymax(self) -> float:
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...
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@property
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def min(self) -> tuple[float, float]:
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...
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@property
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def max(self) -> tuple[float, float]:
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...
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@property
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def intervalx(self) -> tuple[float, float]:
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...
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@property
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def intervaly(self) -> tuple[float, float]:
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...
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@property
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def width(self) -> float:
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...
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@property
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def height(self) -> float:
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...
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@property
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def size(self) -> tuple[float, float]:
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...
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@property
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def bounds(self) -> tuple[float, float, float, float]:
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...
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@property
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def extents(self) -> tuple[float, float, float, float]:
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...
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def get_points(self) -> np.ndarray:
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...
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def containsx(self, x: float) -> bool:
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...
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def containsy(self, y: float) -> bool:
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...
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def contains(self, x: float, y: float) -> bool:
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...
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def overlaps(self, other: BboxBase) -> bool:
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...
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def fully_containsx(self, x: float) -> bool:
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...
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def fully_containsy(self, y: float) -> bool:
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...
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def fully_contains(self, x: float, y: float) -> bool:
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...
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def fully_overlaps(self, other: BboxBase) -> bool:
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...
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def transformed(self, transform: Transform) -> Bbox:
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...
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coefs: dict[str, tuple[float, float]]
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def anchored(self, c: tuple[float, float] | str, container: BboxBase | None = ...) -> Bbox:
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...
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def shrunk(self, mx: float, my: float) -> Bbox:
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...
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def shrunk_to_aspect(self, box_aspect: float, container: BboxBase | None = ..., fig_aspect: float = ...) -> Bbox:
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...
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def splitx(self, *args: float) -> list[Bbox]:
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...
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def splity(self, *args: float) -> list[Bbox]:
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...
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def count_contains(self, vertices: ArrayLike) -> int:
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...
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def count_overlaps(self, bboxes: Iterable[BboxBase]) -> int:
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...
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def expanded(self, sw: float, sh: float) -> Bbox:
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...
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def padded(self, w_pad: float, h_pad: float | None = ...) -> Bbox:
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...
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def translated(self, tx: float, ty: float) -> Bbox:
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...
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def corners(self) -> np.ndarray:
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...
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def rotated(self, radians: float) -> Bbox:
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...
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@staticmethod
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def union(bboxes: Sequence[BboxBase]) -> Bbox:
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...
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@staticmethod
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def intersection(bbox1: BboxBase, bbox2: BboxBase) -> Bbox | None:
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...
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class Bbox(BboxBase):
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def __init__(self, points: ArrayLike, **kwargs) -> None:
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...
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@staticmethod
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def unit() -> Bbox:
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...
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@staticmethod
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def null() -> Bbox:
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...
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@staticmethod
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def from_bounds(x0: float, y0: float, width: float, height: float) -> Bbox:
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...
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@staticmethod
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def from_extents(*args: float, minpos: float | None = ...) -> Bbox:
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...
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def __format__(self, fmt: str) -> str:
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...
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def ignore(self, value: bool) -> None:
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...
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def update_from_path(self, path: Path, ignore: bool | None = ..., updatex: bool = ..., updatey: bool = ...) -> None:
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...
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def update_from_data_x(self, x: ArrayLike, ignore: bool | None = ...) -> None:
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...
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def update_from_data_y(self, y: ArrayLike, ignore: bool | None = ...) -> None:
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...
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def update_from_data_xy(self, xy: ArrayLike, ignore: bool | None = ..., updatex: bool = ..., updatey: bool = ...) -> None:
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...
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@property
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def minpos(self) -> float:
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...
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@property
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def minposx(self) -> float:
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...
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@property
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def minposy(self) -> float:
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...
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def get_points(self) -> np.ndarray:
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...
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def set_points(self, points: ArrayLike) -> None:
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...
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def set(self, other: Bbox) -> None:
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...
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def mutated(self) -> bool:
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...
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def mutatedx(self) -> bool:
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...
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def mutatedy(self) -> bool:
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...
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class TransformedBbox(BboxBase):
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def __init__(self, bbox: Bbox, transform: Transform, **kwargs) -> None:
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...
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def get_points(self) -> np.ndarray:
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...
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class LockableBbox(BboxBase):
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def __init__(self, bbox: BboxBase, x0: float | None = ..., y0: float | None = ..., x1: float | None = ..., y1: float | None = ..., **kwargs) -> None:
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...
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@property
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def locked_x0(self) -> float | None:
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...
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@locked_x0.setter
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def locked_x0(self, x0: float | None) -> None:
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...
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@property
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def locked_y0(self) -> float | None:
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...
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@locked_y0.setter
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def locked_y0(self, y0: float | None) -> None:
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...
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@property
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def locked_x1(self) -> float | None:
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...
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@locked_x1.setter
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def locked_x1(self, x1: float | None) -> None:
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...
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@property
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def locked_y1(self) -> float | None:
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...
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@locked_y1.setter
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def locked_y1(self, y1: float | None) -> None:
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...
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class Transform(TransformNode):
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input_dims: int | None
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output_dims: int | None
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is_separable: bool
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@property
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def has_inverse(self) -> bool:
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...
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def __add__(self, other: Transform) -> Transform:
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...
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@property
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def depth(self) -> int:
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...
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def contains_branch(self, other: Transform) -> bool:
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...
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def contains_branch_seperately(self, other_transform: Transform) -> Sequence[bool]:
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...
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def __sub__(self, other: Transform) -> Transform:
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...
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def __array__(self, *args, **kwargs) -> np.ndarray:
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...
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def transform(self, values: ArrayLike) -> np.ndarray:
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...
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def transform_affine(self, values: ArrayLike) -> np.ndarray:
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...
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def transform_non_affine(self, values: ArrayLike) -> ArrayLike:
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...
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def transform_bbox(self, bbox: BboxBase) -> Bbox:
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...
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def get_affine(self) -> Transform:
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...
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def get_matrix(self) -> np.ndarray:
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...
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def transform_point(self, point: ArrayLike) -> np.ndarray:
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...
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def transform_path(self, path: Path) -> Path:
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...
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def transform_path_affine(self, path: Path) -> Path:
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...
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def transform_path_non_affine(self, path: Path) -> Path:
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...
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def transform_angles(self, angles: ArrayLike, pts: ArrayLike, radians: bool = ..., pushoff: float = ...) -> np.ndarray:
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...
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def inverted(self) -> Transform:
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...
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class TransformWrapper(Transform):
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pass_through: bool
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def __init__(self, child: Transform) -> None:
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...
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def __eq__(self, other: object) -> bool:
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...
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def frozen(self) -> Transform:
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...
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def set(self, child: Transform) -> None:
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...
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class AffineBase(Transform):
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is_affine: Literal[True]
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def __init__(self, *args, **kwargs) -> None:
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...
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def __eq__(self, other: object) -> bool:
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...
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class Affine2DBase(AffineBase):
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input_dims: Literal[2]
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output_dims: Literal[2]
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def frozen(self) -> Affine2D:
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...
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@property
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def is_separable(self):
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...
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def to_values(self) -> tuple[float, float, float, float, float, float]:
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...
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class Affine2D(Affine2DBase):
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def __init__(self, matrix: ArrayLike | None = ..., **kwargs) -> None:
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...
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@staticmethod
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def from_values(a: float, b: float, c: float, d: float, e: float, f: float) -> Affine2D:
|
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...
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def set_matrix(self, mtx: ArrayLike) -> None:
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...
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def clear(self) -> Affine2D:
|
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...
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|
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def rotate(self, theta: float) -> Affine2D:
|
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...
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def rotate_deg(self, degrees: float) -> Affine2D:
|
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...
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def rotate_around(self, x: float, y: float, theta: float) -> Affine2D:
|
||||
...
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|
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def rotate_deg_around(self, x: float, y: float, degrees: float) -> Affine2D:
|
||||
...
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|
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def translate(self, tx: float, ty: float) -> Affine2D:
|
||||
...
|
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|
||||
def scale(self, sx: float, sy: float | None = ...) -> Affine2D:
|
||||
...
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|
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def skew(self, xShear: float, yShear: float) -> Affine2D:
|
||||
...
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|
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def skew_deg(self, xShear: float, yShear: float) -> Affine2D:
|
||||
...
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||||
|
||||
|
||||
class IdentityTransform(Affine2DBase):
|
||||
...
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||||
|
||||
|
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class _BlendedMixin:
|
||||
def __eq__(self, other: object) -> bool:
|
||||
...
|
||||
|
||||
def contains_branch_seperately(self, transform: Transform) -> Sequence[bool]:
|
||||
...
|
||||
|
||||
|
||||
|
||||
class BlendedGenericTransform(_BlendedMixin, Transform):
|
||||
input_dims: Literal[2]
|
||||
output_dims: Literal[2]
|
||||
is_separable: bool
|
||||
pass_through: bool
|
||||
def __init__(self, x_transform: Transform, y_transform: Transform, **kwargs) -> None:
|
||||
...
|
||||
|
||||
@property
|
||||
def depth(self) -> int:
|
||||
...
|
||||
|
||||
def contains_branch(self, other: Transform) -> Literal[False]:
|
||||
...
|
||||
|
||||
@property
|
||||
def is_affine(self) -> bool:
|
||||
...
|
||||
|
||||
@property
|
||||
def has_inverse(self) -> bool:
|
||||
...
|
||||
|
||||
|
||||
|
||||
class BlendedAffine2D(_BlendedMixin, Affine2DBase):
|
||||
def __init__(self, x_transform: Transform, y_transform: Transform, **kwargs) -> None:
|
||||
...
|
||||
|
||||
|
||||
|
||||
def blended_transform_factory(x_transform: Transform, y_transform: Transform) -> BlendedGenericTransform | BlendedAffine2D:
|
||||
...
|
||||
|
||||
class CompositeGenericTransform(Transform):
|
||||
pass_through: bool
|
||||
input_dims: int | None
|
||||
output_dims: int | None
|
||||
def __init__(self, a: Transform, b: Transform, **kwargs) -> None:
|
||||
...
|
||||
|
||||
|
||||
|
||||
class CompositeAffine2D(Affine2DBase):
|
||||
def __init__(self, a: Affine2DBase, b: Affine2DBase, **kwargs) -> None:
|
||||
...
|
||||
|
||||
@property
|
||||
def depth(self) -> int:
|
||||
...
|
||||
|
||||
|
||||
|
||||
def composite_transform_factory(a: Transform, b: Transform) -> Transform:
|
||||
...
|
||||
|
||||
class BboxTransform(Affine2DBase):
|
||||
def __init__(self, boxin: BboxBase, boxout: BboxBase, **kwargs) -> None:
|
||||
...
|
||||
|
||||
|
||||
|
||||
class BboxTransformTo(Affine2DBase):
|
||||
def __init__(self, boxout: BboxBase, **kwargs) -> None:
|
||||
...
|
||||
|
||||
|
||||
|
||||
class BboxTransformToMaxOnly(BboxTransformTo):
|
||||
...
|
||||
|
||||
|
||||
class BboxTransformFrom(Affine2DBase):
|
||||
def __init__(self, boxin: BboxBase, **kwargs) -> None:
|
||||
...
|
||||
|
||||
|
||||
|
||||
class ScaledTranslation(Affine2DBase):
|
||||
def __init__(self, xt: float, yt: float, scale_trans: Affine2DBase, **kwargs) -> None:
|
||||
...
|
||||
|
||||
|
||||
|
||||
class AffineDeltaTransform(Affine2DBase):
|
||||
def __init__(self, transform: Affine2DBase, **kwargs) -> None:
|
||||
...
|
||||
|
||||
|
||||
|
||||
class TransformedPath(TransformNode):
|
||||
def __init__(self, path: Path, transform: Transform) -> None:
|
||||
...
|
||||
|
||||
def get_transformed_points_and_affine(self) -> tuple[Path, Transform]:
|
||||
...
|
||||
|
||||
def get_transformed_path_and_affine(self) -> tuple[Path, Transform]:
|
||||
...
|
||||
|
||||
def get_fully_transformed_path(self) -> Path:
|
||||
...
|
||||
|
||||
def get_affine(self) -> Transform:
|
||||
...
|
||||
|
||||
|
||||
|
||||
class TransformedPatchPath(TransformedPath):
|
||||
def __init__(self, patch: Patch) -> None:
|
||||
...
|
||||
|
||||
|
||||
|
||||
def nonsingular(vmin: float, vmax: float, expander: float = ..., tiny: float = ..., increasing: bool = ...) -> tuple[float, float]:
|
||||
...
|
||||
|
||||
def interval_contains(interval: tuple[float, float], val: float) -> bool:
|
||||
...
|
||||
|
||||
def interval_contains_open(interval: tuple[float, float], val: float) -> bool:
|
||||
...
|
||||
|
||||
def offset_copy(trans: Transform, fig: Figure | None = ..., x: float = ..., y: float = ..., units: Literal["inches", "points", "dots"] = ...) -> Transform:
|
||||
...
|
||||
|
||||
Loading…
Add table
Add a link
Reference in a new issue