remove venv
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Tykayn
tykayn
parent
056387013d
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0680c7594e
13999 changed files with 0 additions and 2895688 deletions
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@ -1,215 +0,0 @@
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from collections.abc import Callable, Sequence
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import os
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import pathlib
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from typing import Any, BinaryIO, Literal
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import numpy as np
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from numpy.typing import ArrayLike, NDArray
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import PIL.Image
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from matplotlib.axes import Axes
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from matplotlib import colorizer
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from matplotlib.backend_bases import RendererBase, MouseEvent
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from matplotlib.colorizer import Colorizer
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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, BboxBase, Bbox, Transform
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#
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# These names are re-exported from matplotlib._image.
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#
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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(
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input_array: NDArray[np.float32] | NDArray[np.float64] | NDArray[np.int8],
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output_array: NDArray[np.float32] | NDArray[np.float64] | NDArray[np.int8],
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transform: Transform,
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interpolation: int = ...,
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resample: bool = ...,
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alpha: float = ...,
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norm: bool = ...,
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radius: float = ...,
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) -> None: ...
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#
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# END names re-exported from matplotlib._image.
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#
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interpolations_names: set[str]
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def composite_images(
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images: Sequence[_ImageBase], renderer: RendererBase, magnification: float = ...
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) -> tuple[np.ndarray, float, float]: ...
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class _ImageBase(colorizer.ColorizingArtist):
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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__(
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self,
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ax: Axes,
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cmap: str | Colormap | None = ...,
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norm: str | Normalize | None = ...,
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colorizer: Colorizer | None = ...,
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interpolation: str | None = ...,
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origin: Literal["upper", "lower"] | None = ...,
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filternorm: bool = ...,
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filterrad: float = ...,
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resample: bool | None = ...,
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*,
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interpolation_stage: Literal["data", "rgba", "auto"] | None = ...,
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**kwargs
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) -> None: ...
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def get_size(self) -> tuple[int, int]: ...
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def set_alpha(self, alpha: float | ArrayLike | None) -> None: ...
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def changed(self) -> None: ...
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def make_image(
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self, renderer: RendererBase, magnification: float = ..., unsampled: bool = ...
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) -> tuple[np.ndarray, float, float, Affine2D]: ...
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def draw(self, renderer: RendererBase) -> None: ...
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def write_png(self, fname: str | pathlib.Path | BinaryIO) -> None: ...
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def set_data(self, A: ArrayLike | None) -> None: ...
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def set_array(self, A: ArrayLike | None) -> None: ...
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def get_shape(self) -> tuple[int, int, int]: ...
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def get_interpolation(self) -> str: ...
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def set_interpolation(self, s: str | None) -> None: ...
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def get_interpolation_stage(self) -> Literal["data", "rgba", "auto"]: ...
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def set_interpolation_stage(self, s: Literal["data", "rgba", "auto"]) -> None: ...
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def can_composite(self) -> bool: ...
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def set_resample(self, v: bool | None) -> None: ...
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def get_resample(self) -> bool: ...
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def set_filternorm(self, filternorm: bool) -> None: ...
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def get_filternorm(self) -> bool: ...
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def set_filterrad(self, filterrad: float) -> None: ...
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def get_filterrad(self) -> float: ...
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class AxesImage(_ImageBase):
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def __init__(
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self,
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ax: Axes,
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*,
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cmap: str | Colormap | None = ...,
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norm: str | Normalize | None = ...,
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colorizer: Colorizer | None = ...,
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interpolation: str | None = ...,
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origin: Literal["upper", "lower"] | None = ...,
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extent: tuple[float, float, float, float] | None = ...,
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filternorm: bool = ...,
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filterrad: float = ...,
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resample: bool = ...,
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interpolation_stage: Literal["data", "rgba", "auto"] | None = ...,
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**kwargs
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) -> None: ...
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def get_window_extent(self, renderer: RendererBase | None = ...) -> Bbox: ...
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def make_image(
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self, renderer: RendererBase, magnification: float = ..., unsampled: bool = ...
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) -> tuple[np.ndarray, float, float, Affine2D]: ...
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def set_extent(
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self, extent: tuple[float, float, float, float], **kwargs
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) -> None: ...
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def get_extent(self) -> tuple[float, float, float, float]: ...
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def get_cursor_data(self, event: MouseEvent) -> None | float: ...
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class NonUniformImage(AxesImage):
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mouseover: bool
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def __init__(
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self, ax: Axes, *, interpolation: Literal["nearest", "bilinear"] = ..., **kwargs
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) -> None: ...
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def set_data(self, x: ArrayLike, y: ArrayLike, A: ArrayLike) -> None: ... # type: ignore[override]
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# more limited interpolation available here than base class
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def set_interpolation(self, s: Literal["nearest", "bilinear"]) -> None: ... # type: ignore[override]
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class PcolorImage(AxesImage):
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def __init__(
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self,
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ax: Axes,
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x: ArrayLike | None = ...,
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y: ArrayLike | None = ...,
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A: ArrayLike | None = ...,
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*,
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cmap: str | Colormap | None = ...,
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norm: str | Normalize | None = ...,
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colorizer: Colorizer | None = ...,
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**kwargs
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) -> None: ...
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def set_data(self, x: ArrayLike, y: ArrayLike, A: ArrayLike) -> None: ... # type: ignore[override]
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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__(
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self,
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fig: Figure,
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*,
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cmap: str | Colormap | None = ...,
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norm: str | Normalize | None = ...,
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colorizer: Colorizer | None = ...,
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offsetx: int = ...,
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offsety: int = ...,
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origin: Literal["upper", "lower"] | None = ...,
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**kwargs
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) -> None: ...
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def get_extent(self) -> tuple[float, float, float, float]: ...
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class BboxImage(_ImageBase):
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bbox: BboxBase
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def __init__(
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self,
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bbox: BboxBase | Callable[[RendererBase | None], Bbox],
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*,
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cmap: str | Colormap | None = ...,
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norm: str | Normalize | None = ...,
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colorizer: Colorizer | None = ...,
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interpolation: str | None = ...,
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origin: Literal["upper", "lower"] | None = ...,
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filternorm: bool = ...,
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filterrad: float = ...,
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resample: bool = ...,
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**kwargs
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) -> None: ...
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def get_window_extent(self, renderer: RendererBase | None = ...) -> Bbox: ...
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def imread(
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fname: str | pathlib.Path | BinaryIO, format: str | None = ...
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) -> np.ndarray: ...
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def imsave(
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fname: str | os.PathLike | BinaryIO,
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arr: ArrayLike,
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vmin: float | None = ...,
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vmax: float | None = ...,
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cmap: str | Colormap | None = ...,
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format: str | None = ...,
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origin: Literal["upper", "lower"] | None = ...,
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dpi: float = ...,
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*,
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metadata: dict[str, str] | None = ...,
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pil_kwargs: dict[str, Any] | None = ...
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) -> None: ...
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def pil_to_array(pilImage: PIL.Image.Image) -> np.ndarray: ...
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def thumbnail(
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infile: str | BinaryIO,
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thumbfile: str | BinaryIO,
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scale: float = ...,
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interpolation: str = ...,
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preview: bool = ...,
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) -> Figure: ...
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