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from collections.abc import Callable, Sequence

import os

import pathlib

from typing import Any, BinaryIO, Literal

import numpy as np

from numpy.typing import ArrayLike, NDArray

import PIL.Image

from matplotlib.axes import Axes

from matplotlib import colorizer

from matplotlib.backend_bases import RendererBase, MouseEvent

from matplotlib.colorizer import Colorizer

from matplotlib.colors import Colormap, Normalize

from matplotlib.figure import Figure

from matplotlib.transforms import Affine2D, BboxBase, Bbox, Transform

# These names are re-exported from matplotlib._image.

BESSEL: int

BICUBIC: int

BILINEAR: int

BLACKMAN: int

CATROM: int

GAUSSIAN: int

HAMMING: int

HANNING: int

HERMITE: int

KAISER: int

LANCZOS: int

MITCHELL: int

NEAREST: int

QUADRIC: int

SINC: int

SPLINE16: int

SPLINE36: int

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: ...

# END names re-exported from matplotlib._image.

interpolations_names: set[str]

def composite_images(

images: Sequence[_ImageBase], renderer: RendererBase, magnification: float = ...

) -> tuple[np.ndarray, float, float]: ...

class _ImageBase(colorizer.ColorizingArtist):

zorder: float

origin: Literal["upper", "lower"]

axes: Axes

def __init__(

self,

ax: Axes,

cmap: str | Colormap | None = ...,

norm: str | Normalize | None = ...,

colorizer: Colorizer | None = ...,

interpolation: str | None = ...,

origin: Literal["upper", "lower"] | None = ...,

filternorm: bool = ...,

filterrad: float = ...,

resample: bool | None = ...,

interpolation_stage: Literal["data", "rgba", "auto"] | None = ...,

**kwargs

) -> None: ...

def get_size(self) -> tuple[int, int]: ...

def set_alpha(self, alpha: float | ArrayLike | None) -> None: ...

def changed(self) -> None: ...

def make_image(

self, renderer: RendererBase, magnification: float = ..., unsampled: bool = ...

) -> tuple[np.ndarray, float, float, Affine2D]: ...

def draw(self, renderer: RendererBase) -> None: ...

def write_png(self, fname: str | pathlib.Path | BinaryIO) -> None: ...

def set_data(self, A: ArrayLike | None) -> None: ...

def set_array(self, A: ArrayLike | None) -> None: ...

def get_shape(self) -> tuple[int, int, int]: ...

def get_interpolation(self) -> str: ...

def set_interpolation(self, s: str | None) -> None: ...

def get_interpolation_stage(self) -> Literal["data", "rgba", "auto"]: ...

def set_interpolation_stage(self, s: Literal["data", "rgba", "auto"]) -> None: ...

def can_composite(self) -> bool: ...

def set_resample(self, v: bool | None) -> None: ...

def get_resample(self) -> bool: ...

def set_filternorm(self, filternorm: bool) -> None: ...

def get_filternorm(self) -> bool: ...

def set_filterrad(self, filterrad: float) -> None: ...

def get_filterrad(self) -> float: ...

class AxesImage(_ImageBase):

def __init__(

self,

ax: Axes,

cmap: str | Colormap | None = ...,

norm: str | Normalize | None = ...,

colorizer: Colorizer | 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", "auto"] | None = ...,

**kwargs

) -> None: ...

def get_window_extent(self, renderer: RendererBase | None = ...) -> Bbox: ...

def make_image(

self, renderer: RendererBase, magnification: float = ..., unsampled: bool = ...

) -> tuple[np.ndarray, float, float, Affine2D]: ...

def set_extent(

self, extent: tuple[float, float, float, float], **kwargs

) -> None: ...

def get_extent(self) -> tuple[float, float, float, float]: ...

def get_cursor_data(self, event: MouseEvent) -> None | float: ...

class NonUniformImage(AxesImage):

mouseover: bool

def __init__(

self, ax: Axes, *, interpolation: Literal["nearest", "bilinear"] = ..., **kwargs

) -> None: ...

def set_data(self, x: ArrayLike, y: ArrayLike, A: ArrayLike) -> None: ... # type: ignore[override]

# more limited interpolation available here than base class

def set_interpolation(self, s: Literal["nearest", "bilinear"]) -> None: ... # type: ignore[override]

class PcolorImage(AxesImage):

def __init__(

self,

ax: Axes,

x: ArrayLike | None = ...,

y: ArrayLike | None = ...,

A: ArrayLike | None = ...,

cmap: str | Colormap | None = ...,

norm: str | Normalize | None = ...,

colorizer: Colorizer | None = ...,

**kwargs

) -> None: ...

def set_data(self, x: ArrayLike, y: ArrayLike, A: ArrayLike) -> None: ... # type: ignore[override]

class FigureImage(_ImageBase):

zorder: float

figure: Figure

ox: float

oy: float

magnification: float

def __init__(

self,

fig: Figure,

cmap: str | Colormap | None = ...,

norm: str | Normalize | None = ...,

colorizer: Colorizer | None = ...,

offsetx: int = ...,

offsety: int = ...,

origin: Literal["upper", "lower"] | None = ...,

**kwargs

) -> None: ...

def get_extent(self) -> tuple[float, float, float, float]: ...

class BboxImage(_ImageBase):

bbox: BboxBase

def __init__(

self,

bbox: BboxBase | Callable[[RendererBase | None], Bbox],

cmap: str | Colormap | None = ...,

norm: str | Normalize | None = ...,

colorizer: Colorizer | None = ...,

interpolation: str | None = ...,

origin: Literal["upper", "lower"] | None = ...,

filternorm: bool = ...,

filterrad: float = ...,

resample: bool = ...,

**kwargs

) -> None: ...

def get_window_extent(self, renderer: RendererBase | None = ...) -> Bbox: ...

def imread(

fname: str | pathlib.Path | BinaryIO, format: str | None = ...

) -> np.ndarray: ...

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: ...

def pil_to_array(pilImage: PIL.Image.Image) -> np.ndarray: ...

def thumbnail(

infile: str | BinaryIO,

thumbfile: str | BinaryIO,

scale: float = ...,

interpolation: str = ...,

preview: bool = ...,

) -> Figure: ...

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