Initial configuration commit
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typings/matplotlib/image.pyi
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188
typings/matplotlib/image.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 os
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import pathlib
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import numpy as np
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import PIL.Image
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import matplotlib.artist as martist
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from collections.abc import Callable, Sequence
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from typing import Any, BinaryIO, Literal
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from numpy.typing import ArrayLike, NDArray
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from matplotlib.axes import Axes
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from matplotlib import cm
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from matplotlib.backend_bases import MouseEvent, RendererBase
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from matplotlib.colors import Colormap, Normalize
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from matplotlib.figure import Figure
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from matplotlib.transforms import Affine2D, Bbox, BboxBase, Transform
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BESSEL: int
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BICUBIC: int
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BILINEAR: int
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BLACKMAN: int
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CATROM: int
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GAUSSIAN: int
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HAMMING: int
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HANNING: int
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HERMITE: int
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KAISER: int
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LANCZOS: int
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MITCHELL: int
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NEAREST: int
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QUADRIC: int
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SINC: int
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SPLINE16: int
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SPLINE36: int
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def resample(input_array: NDArray[np.float32] | NDArray[np.float64] | NDArray[np.int8], output_array: NDArray[np.float32] | NDArray[np.float64] | NDArray[np.int8], transform: Transform, interpolation: int = ..., resample: bool = ..., alpha: float = ..., norm: bool = ..., radius: float = ...) -> None:
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...
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interpolations_names: set[str]
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def composite_images(images: Sequence[_ImageBase], renderer: RendererBase, magnification: float = ...) -> tuple[np.ndarray, float, float]:
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...
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class _ImageBase(martist.Artist, cm.ScalarMappable):
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zorder: float
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origin: Literal["upper", "lower"]
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axes: Axes
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def __init__(self, ax: Axes, cmap: str | Colormap | None = ..., norm: str | Normalize | None = ..., interpolation: str | None = ..., origin: Literal["upper", "lower"] | None = ..., filternorm: bool = ..., filterrad: float = ..., resample: bool | None = ..., *, interpolation_stage: Literal["data", "rgba"] | None = ..., **kwargs) -> None:
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...
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def get_size(self) -> tuple[int, int]:
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...
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def set_alpha(self, alpha: float | ArrayLike | None) -> None:
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...
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def changed(self) -> None:
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...
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def make_image(self, renderer: RendererBase, magnification: float = ..., unsampled: bool = ...) -> tuple[np.ndarray, float, float, Affine2D]:
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...
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def draw(self, renderer: RendererBase, *args, **kwargs) -> None:
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...
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def write_png(self, fname: str | pathlib.Path | BinaryIO) -> None:
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...
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def set_data(self, A: ArrayLike | None) -> None:
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...
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def set_array(self, A: ArrayLike | None) -> None:
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...
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def get_shape(self) -> tuple[int, int, int]:
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...
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def get_interpolation(self) -> str:
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...
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def set_interpolation(self, s: str | None) -> None:
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...
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def set_interpolation_stage(self, s: Literal["data", "rgba"]) -> None:
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...
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def can_composite(self) -> bool:
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...
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def set_resample(self, v: bool | None) -> None:
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...
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def get_resample(self) -> bool:
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...
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def set_filternorm(self, filternorm: bool) -> None:
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...
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def get_filternorm(self) -> bool:
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...
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def set_filterrad(self, filterrad: float) -> None:
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...
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def get_filterrad(self) -> float:
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...
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class AxesImage(_ImageBase):
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def __init__(self, ax: Axes, *, cmap: str | Colormap | None = ..., norm: str | Normalize | None = ..., interpolation: str | None = ..., origin: Literal["upper", "lower"] | None = ..., extent: tuple[float, float, float, float] | None = ..., filternorm: bool = ..., filterrad: float = ..., resample: bool = ..., interpolation_stage: Literal["data", "rgba"] | None = ..., **kwargs) -> None:
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...
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def get_window_extent(self, renderer: RendererBase | None = ...) -> Bbox:
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...
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def make_image(self, renderer: RendererBase, magnification: float = ..., unsampled: bool = ...) -> tuple[np.ndarray, float, float, Affine2D]:
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...
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def set_extent(self, extent: tuple[float, float, float, float], **kwargs) -> None:
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...
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def get_extent(self) -> tuple[float, float, float, float]:
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...
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def get_cursor_data(self, event: MouseEvent) -> None | float:
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...
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class NonUniformImage(AxesImage):
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mouseover: bool
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def __init__(self, ax: Axes, *, interpolation: Literal["nearest", "bilinear"] = ..., **kwargs) -> None:
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...
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def set_data(self, x: ArrayLike, y: ArrayLike, A: ArrayLike) -> None:
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...
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def set_interpolation(self, s: Literal["nearest", "bilinear"]) -> None:
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...
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class PcolorImage(AxesImage):
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def __init__(self, ax: Axes, x: ArrayLike | None = ..., y: ArrayLike | None = ..., A: ArrayLike | None = ..., *, cmap: str | Colormap | None = ..., norm: str | Normalize | None = ..., **kwargs) -> None:
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...
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def set_data(self, x: ArrayLike, y: ArrayLike, A: ArrayLike) -> None:
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...
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class FigureImage(_ImageBase):
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zorder: float
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figure: Figure
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ox: float
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oy: float
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magnification: float
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def __init__(self, fig: Figure, *, cmap: str | Colormap | None = ..., norm: str | Normalize | None = ..., offsetx: int = ..., offsety: int = ..., origin: Literal["upper", "lower"] | None = ..., **kwargs) -> None:
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...
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def get_extent(self) -> tuple[float, float, float, float]:
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...
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class BboxImage(_ImageBase):
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bbox: BboxBase
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def __init__(self, bbox: BboxBase | Callable[[RendererBase | None], Bbox], *, cmap: str | Colormap | None = ..., norm: str | Normalize | None = ..., interpolation: str | None = ..., origin: Literal["upper", "lower"] | None = ..., filternorm: bool = ..., filterrad: float = ..., resample: bool = ..., **kwargs) -> None:
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...
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def get_window_extent(self, renderer: RendererBase | None = ...) -> Bbox:
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...
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def imread(fname: str | pathlib.Path | BinaryIO, format: str | None = ...) -> np.ndarray:
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...
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def imsave(fname: str | os.PathLike | BinaryIO, arr: ArrayLike, vmin: float | None = ..., vmax: float | None = ..., cmap: str | Colormap | None = ..., format: str | None = ..., origin: Literal["upper", "lower"] | None = ..., dpi: float = ..., *, metadata: dict[str, str] | None = ..., pil_kwargs: dict[str, Any] | None = ...) -> None:
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...
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def pil_to_array(pilImage: PIL.Image.Image) -> np.ndarray:
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...
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def thumbnail(infile: str | BinaryIO, thumbfile: str | BinaryIO, scale: float = ..., interpolation: str = ..., preview: bool = ...) -> Figure:
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...
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