ai-content-maker/.venv/Lib/site-packages/matplotlib/image.pyi

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

import matplotlib.artist as martist
from matplotlib.axes import Axes
from matplotlib import cm
from matplotlib.backend_bases import RendererBase, MouseEvent
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(martist.Artist, cm.ScalarMappable):
    zorder: float
    origin: Literal["upper", "lower"]
    axes: Axes
    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: ...
    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, *args, **kwargs) -> 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 set_interpolation_stage(self, s: Literal["data", "rgba"]) -> 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 = ...,
        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: ...
    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 = ...,
        **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 = ...,
        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 = ...,
        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: ...