cpu-diffusers.upgrade-tmp/venv/lib/python3.10/site-packages/av/video/frame.pyi

from enum import IntEnum
from pathlib import Path
from typing import Any, Union

import numpy as np

from av.frame import Frame

from .format import VideoFormat
from .plane import VideoPlane
from .reformatter import ColorPrimaries, ColorTrc

_SupportedNDarray = Union[
    np.ndarray[Any, np.dtype[np.uint8]],
    np.ndarray[Any, np.dtype[np.uint16]],
    np.ndarray[Any, np.dtype[np.float16]],
    np.ndarray[Any, np.dtype[np.float32]],
]

supported_np_pix_fmts: set[str]

class PictureType(IntEnum):
    NONE = 0
    I = 1
    P = 2
    B = 3
    S = 4
    SI = 5
    SP = 6
    BI = 7

class CudaContext:
    @property
    def device_id(self) -> int: ...
    @property
    def primary_ctx(self) -> bool: ...
    def __init__(self, device_id: int = 0, primary_ctx: bool = True) -> None: ...

class VideoFrame(Frame):
    format: VideoFormat
    planes: tuple[VideoPlane, ...]
    pict_type: int
    colorspace: int
    color_range: int
    color_trc: int
    color_primaries: int

    @property
    def time(self) -> float: ...
    @property
    def width(self) -> int: ...
    @property
    def height(self) -> int: ...
    @property
    def interlaced_frame(self) -> bool: ...
    @property
    def rotation(self) -> int: ...
    def __init__(
        self, width: int = 0, height: int = 0, format: str = "yuv420p"
    ) -> None: ...
    def reformat(
        self,
        width: int | None = None,
        height: int | None = None,
        format: str | None = None,
        src_colorspace: str | int | None = None,
        dst_colorspace: str | int | None = None,
        interpolation: int | str | None = None,
        src_color_range: int | str | None = None,
        dst_color_range: int | str | None = None,
        dst_color_trc: int | ColorTrc | None = None,
        dst_color_primaries: int | ColorPrimaries | None = None,
        threads: int | None = None,
    ) -> VideoFrame: ...
    def to_rgb(self, **kwargs: Any) -> VideoFrame: ...
    def save(self, filepath: str | Path) -> None: ...
    def to_image(self, **kwargs): ...
    def to_ndarray(
        self, channel_last: bool = False, **kwargs: Any
    ) -> _SupportedNDarray: ...
    @staticmethod
    def from_image(img): ...
    @staticmethod
    def from_numpy_buffer(
        array: _SupportedNDarray, format: str = "rgb24", width: int = 0
    ) -> VideoFrame: ...
    @staticmethod
    def from_ndarray(
        array: _SupportedNDarray, format: str = "rgb24", channel_last: bool = False
    ) -> VideoFrame: ...
    @staticmethod
    def from_bytes(
        data: bytes,
        width: int,
        height: int,
        format: str = "rgba",
        flip_horizontal: bool = False,
        flip_vertical: bool = False,
    ) -> VideoFrame: ...
    @staticmethod
    def from_dlpack(
        planes: object | tuple[object, ...],
        format: str = "nv12",
        width: int = 0,
        height: int = 0,
        stream: int | None = None,
        device_id: int | None = None,
        primary_ctx: bool = True,
        cuda_context: CudaContext | None = None,
    ) -> VideoFrame: ...