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Streams

AnyStream

Bases: MediaStream

A stream that can be materialized into an Mp4Stream or GifStream.

See MediaStream for all the available parameters.

Source code in streamjoy/streams.py
class AnyStream(MediaStream):
    """
    A stream that can be materialized into an Mp4Stream or GifStream.

    See `MediaStream` for all the available parameters.
    """

    @classmethod
    def _display_in_notebook(
        cls, obj: Any, display: bool = True, is_media: bool = True
    ) -> None:
        return

    def materialize(
        self, uri: Path | BytesIO, extension: str | None = None
    ) -> MediaStream:
        """
        Materialize the stream into an Mp4Stream, GifStream, or HtmlStream.
        """
        if isinstance(uri, BytesIO) and extension is None:
            extension = ".mp4"
        elif extension is None:
            extension = uri.suffix

        if isinstance(extension, str) and extension not in extension_handlers:
            raise ValueError(f"Unsupported extension: {extension}")

        stream_cls_str = extension_handlers.get(extension)
        if stream_cls_str is None:
            raise ValueError(
                f"Unsupported extension: {extension}; select from {extension_handlers}"
            )
        stream_cls = globals()[stream_cls_str]
        stream = stream_cls(**self.param.values())
        return stream

    def write(
        self,
        uri: str | Path | BytesIO | None = None,
        resources: Any | None = None,
        extension: str | None = None,
        **kwargs: dict[str, Any],
    ) -> Path | BytesIO:
        """
        Write the stream to a file or in memory.

        Args:
            uri: The file path or BytesIO object to write to.
            resources: The resources to write to the file or in memory.
            extension: The extension to use; useful if uri is a file-like object.
            **kwargs: Additional keyword arguments to pass.
        """
        uri = self._validate_uri(uri or BytesIO(), match_extension=False)
        stream = self.materialize(uri, extension)
        return stream.write(uri=uri, resources=resources, **kwargs)

materialize(uri, extension=None)

Materialize the stream into an Mp4Stream, GifStream, or HtmlStream.

Source code in streamjoy/streams.py
def materialize(
    self, uri: Path | BytesIO, extension: str | None = None
) -> MediaStream:
    """
    Materialize the stream into an Mp4Stream, GifStream, or HtmlStream.
    """
    if isinstance(uri, BytesIO) and extension is None:
        extension = ".mp4"
    elif extension is None:
        extension = uri.suffix

    if isinstance(extension, str) and extension not in extension_handlers:
        raise ValueError(f"Unsupported extension: {extension}")

    stream_cls_str = extension_handlers.get(extension)
    if stream_cls_str is None:
        raise ValueError(
            f"Unsupported extension: {extension}; select from {extension_handlers}"
        )
    stream_cls = globals()[stream_cls_str]
    stream = stream_cls(**self.param.values())
    return stream

write(uri=None, resources=None, extension=None, **kwargs)

Write the stream to a file or in memory.

Parameters:

Name Type Description Default
uri str | Path | BytesIO | None

The file path or BytesIO object to write to.

None
resources Any | None

The resources to write to the file or in memory.

None
extension str | None

The extension to use; useful if uri is a file-like object.

None
**kwargs dict[str, Any]

Additional keyword arguments to pass.

{}
Source code in streamjoy/streams.py
def write(
    self,
    uri: str | Path | BytesIO | None = None,
    resources: Any | None = None,
    extension: str | None = None,
    **kwargs: dict[str, Any],
) -> Path | BytesIO:
    """
    Write the stream to a file or in memory.

    Args:
        uri: The file path or BytesIO object to write to.
        resources: The resources to write to the file or in memory.
        extension: The extension to use; useful if uri is a file-like object.
        **kwargs: Additional keyword arguments to pass.
    """
    uri = self._validate_uri(uri or BytesIO(), match_extension=False)
    stream = self.materialize(uri, extension)
    return stream.write(uri=uri, resources=resources, **kwargs)

ConnectedStreams

Bases: Parameterized

Multiple streams connected together.

Source code in streamjoy/streams.py
class ConnectedStreams(param.Parameterized):
    """
    Multiple streams connected together.
    """

    streams = param.List(
        default=[],
        item_type=MediaStream,
        doc="The streams to connect.",
    )

    def __init__(self, streams: list[MediaStream] | None = None, **params) -> None:
        params["streams"] = streams or params.get("streams")
        self.logger = _utils.update_logger()
        super().__init__(**params)

    def write(
        self,
        uri: str | Path | BytesIO | None = None,
        extension: str | None = None,
        **kwargs: dict[str, Any],
    ) -> Path | BytesIO:
        """
        Write the connected streams to a file or in memory.

        Args:
            uri: The file path or BytesIO object to write to.
            extension: The file extension to use.
            **kwargs: Additional keyword arguments to pass.

        Returns:
            The file path or BytesIO object.
        """
        if uri is None:
            uri = BytesIO()
        elif isinstance(uri, str):
            uri = Path(uri)
        streams = [
            (
                stream.materialize(uri, extension)
                if isinstance(stream, AnyStream)
                else stream
            )
            for stream in self.streams
        ]

        client = _utils.get_distributed_client(
            client=kwargs.get("client"),
            processes=kwargs.get("processes"),
            threads_per_worker=kwargs.get("threads_per_worker"),
        )

        stream_0 = streams[0]
        extension = stream_0._extension

        duration = []
        if isinstance(stream_0, GifStream):
            for stream in streams:
                duration += stream._compute_duration(
                    stream.intro_title, stream.intro_subtitle, len(stream)
                )

        with iio.imopen(uri, "w", extension=extension) as buf:
            for i, stream in enumerate(streams):
                stream.client = client
                resources, renderer_iterables = (
                    _utils.subset_resources_renderer_iterables(
                        stream.resources, stream.renderer_iterables, stream.max_frames
                    )
                )
                images = stream._render_images(
                    resources,
                    stream.renderer,
                    renderer_iterables,
                    stream.renderer_kwargs,
                )
                write_kwargs = stream.write_kwargs.copy()
                if isinstance(stream, GifStream):
                    write_kwargs["duration"] = duration
                else:
                    write_kwargs["init"] = i == 0
                stream._write_images(buf, images, **write_kwargs)
                if isinstance(stream, GifStream) and stream.optimize:
                    stream._optimize_gif(uri)

        green = config["logging_success_color"]
        reset = config["logging_reset_color"]
        if isinstance(uri, Path):
            self.logger.success(f"Saved stream to {green}{uri.absolute()}{reset}.")
        else:
            self.logger.success(f"Saved stream to {green}memory{reset}.")
        stream._display_in_notebook(uri, display=stream.display)
        return uri

    def __add__(self, other: MediaStream) -> ConnectedStreams:
        """
        Add a stream to the existing list of streams.
        """
        if isinstance(other, MediaStream):
            self.streams.append(other)
        return self

    def __radd__(self, other: MediaStream) -> ConnectedStreams:
        """
        Add a stream to the existing list of streams.
        """
        return self.__add__(other)

    def __repr__(self) -> str:
        repr_str = (
            f"<{self.__class__.__name__}>\n"
            f"---\n"
            f"Streams:\n"
            f"{indent(repr(self.streams[0]), ' ' * 2)}\n"
            f"  ...\n"
            f"{indent(repr(self.streams[-1]), ' ' * 2)}\n"
        )
        return repr_str

    def __len__(self) -> int:
        """
        Return the total number of frames in all streams.
        """
        return sum(len(stream) for stream in self.streams)

    def __iter__(self) -> Iterable[Path]:
        """
        Iterate over the streams.
        """
        return self.streams

__add__(other)

Add a stream to the existing list of streams.

Source code in streamjoy/streams.py
def __add__(self, other: MediaStream) -> ConnectedStreams:
    """
    Add a stream to the existing list of streams.
    """
    if isinstance(other, MediaStream):
        self.streams.append(other)
    return self

__iter__()

Iterate over the streams.

Source code in streamjoy/streams.py
def __iter__(self) -> Iterable[Path]:
    """
    Iterate over the streams.
    """
    return self.streams

__len__()

Return the total number of frames in all streams.

Source code in streamjoy/streams.py
def __len__(self) -> int:
    """
    Return the total number of frames in all streams.
    """
    return sum(len(stream) for stream in self.streams)

__radd__(other)

Add a stream to the existing list of streams.

Source code in streamjoy/streams.py
def __radd__(self, other: MediaStream) -> ConnectedStreams:
    """
    Add a stream to the existing list of streams.
    """
    return self.__add__(other)

write(uri=None, extension=None, **kwargs)

Write the connected streams to a file or in memory.

Parameters:

Name Type Description Default
uri str | Path | BytesIO | None

The file path or BytesIO object to write to.

None
extension str | None

The file extension to use.

None
**kwargs dict[str, Any]

Additional keyword arguments to pass.

{}

Returns:

Type Description
Path | BytesIO

The file path or BytesIO object.

Source code in streamjoy/streams.py
def write(
    self,
    uri: str | Path | BytesIO | None = None,
    extension: str | None = None,
    **kwargs: dict[str, Any],
) -> Path | BytesIO:
    """
    Write the connected streams to a file or in memory.

    Args:
        uri: The file path or BytesIO object to write to.
        extension: The file extension to use.
        **kwargs: Additional keyword arguments to pass.

    Returns:
        The file path or BytesIO object.
    """
    if uri is None:
        uri = BytesIO()
    elif isinstance(uri, str):
        uri = Path(uri)
    streams = [
        (
            stream.materialize(uri, extension)
            if isinstance(stream, AnyStream)
            else stream
        )
        for stream in self.streams
    ]

    client = _utils.get_distributed_client(
        client=kwargs.get("client"),
        processes=kwargs.get("processes"),
        threads_per_worker=kwargs.get("threads_per_worker"),
    )

    stream_0 = streams[0]
    extension = stream_0._extension

    duration = []
    if isinstance(stream_0, GifStream):
        for stream in streams:
            duration += stream._compute_duration(
                stream.intro_title, stream.intro_subtitle, len(stream)
            )

    with iio.imopen(uri, "w", extension=extension) as buf:
        for i, stream in enumerate(streams):
            stream.client = client
            resources, renderer_iterables = (
                _utils.subset_resources_renderer_iterables(
                    stream.resources, stream.renderer_iterables, stream.max_frames
                )
            )
            images = stream._render_images(
                resources,
                stream.renderer,
                renderer_iterables,
                stream.renderer_kwargs,
            )
            write_kwargs = stream.write_kwargs.copy()
            if isinstance(stream, GifStream):
                write_kwargs["duration"] = duration
            else:
                write_kwargs["init"] = i == 0
            stream._write_images(buf, images, **write_kwargs)
            if isinstance(stream, GifStream) and stream.optimize:
                stream._optimize_gif(uri)

    green = config["logging_success_color"]
    reset = config["logging_reset_color"]
    if isinstance(uri, Path):
        self.logger.success(f"Saved stream to {green}{uri.absolute()}{reset}.")
    else:
        self.logger.success(f"Saved stream to {green}memory{reset}.")
    stream._display_in_notebook(uri, display=stream.display)
    return uri

GifStream

Bases: MediaStream

A stream that writes to a gif.

See MediaStream for all the available parameters.

Source code in streamjoy/streams.py
class GifStream(MediaStream):
    """
    A stream that writes to a gif.

    See `MediaStream` for all the available parameters.
    """

    from imageio.plugins.pillow import PillowPlugin

    loop = param.Integer(doc="The number of times to loop the gif; 0 means infinite.")

    optimize = param.Boolean(
        doc="Whether to optimize the gif with pygifsicle; may take longer to render."
    )

    _extension = ".gif"

    def __init__(self, **params) -> None:
        params["loop"] = _utils.get_config_default(
            "loop", params.get("loop"), warn=False
        )
        super().__init__(**params)

    @classmethod
    def _display_in_notebook(
        cls, obj: Any, display: bool = True, is_media: bool = True
    ) -> None:
        if not _utils.using_notebook() or not display:
            return

        from IPython.display import HTML, Image
        from IPython.display import display as ipydisplay

        if is_media:
            if isinstance(obj, BytesIO):
                obj.seek(0)
                data = base64.b64encode(obj.getvalue()).decode("ascii")
                obj = HTML(
                    data=f"""
                        <img src="data:image/gif;base64,{data}">
                    """
                )
            else:
                obj = Image(obj)
        ipydisplay(obj)

    def _prepend_intro(self, buf: PillowPlugin, intro_frame: np.ndarray, **kwargs):
        if intro_frame is None:
            return

        _utils.repeat_frame(
            buf.write, intro_frame, self.intro_pause, self.fps, **kwargs
        )

    def _compute_duration(
        self, intro_title: str, intro_subtitle: str, num_frames: int
    ) -> float | list[float]:
        if intro_title or intro_subtitle:
            num_frames += int(self.fps * self.intro_pause)

        duration = np.repeat(1 / self.fps, num_frames)
        duration[-1] = self.ending_pause
        duration = (duration * 1000).tolist()
        return duration

    def _write_images(
        self, buf: PillowPlugin, images: list[Future], **write_kwargs
    ) -> None:
        if "duration" in write_kwargs:
            duration = write_kwargs.pop("duration")
        else:
            num_frames = len(images)
            duration = self._compute_duration(
                self.intro_title, self.intro_subtitle, num_frames
            )
        intro_frame = self._create_intro(images)

        if len(duration) == 1:
            duration = duration[0]
        write_kwargs = self.write_kwargs.copy()
        write_kwargs.update(loop=self.loop, is_batch=False, duration=duration)

        self._prepend_intro(buf, intro_frame, **write_kwargs)

        for i, image in enumerate(images):
            image = _utils.get_result(image)
            if isinstance(image, Paused):
                duration[i] = image.seconds * 1000
                image = image.output
            buf.write(image[:, :, :3], **write_kwargs)
            del image

    def _optimize_gif(self, uri: Path) -> None:
        try:
            import pygifsicle
        except ImportError:
            raise ImportError(
                "The `pygifsicle` package is required to optimize gifs; "
                "install it with `pip install pygifsicle`."
            )

        options = [
            "--optimize=2",
            "--loopcount=0",
            "--no-warnings",
            "--no-conserve-memory",
        ]
        optimized_path = uri.with_stem(f"{uri.stem}_optimized")
        pygifsicle.gifsicle(
            sources=uri,
            destination=optimized_path,
            options=options,
        )
        if not optimized_path.stat().st_size:
            raise RuntimeError(
                "gifsicle failed somewhere; ensure that the inputs, "
                "`items`, `uri`, `gifsicle_options` are valid"
            )

        optimized_path.rename(uri)
        green = config["logging_success_color"]
        reset = config["logging_reset_color"]
        self.logger.success(
            f"Optimized stream with pygifsicle at " f"{green}{uri.absolute()}{reset}."
        )

    def write(
        self,
        uri: str | Path | BytesIO | None = None,
        resources: Any | None = None,
        **kwargs: dict[str, Any],
    ) -> Path | BytesIO:
        """
        Write the gif stream to a file or in memory.

        Args:
            uri: The file path or BytesIO object to write to.
            resources: The resources to write to the file or in memory.
            **kwargs: Additional keyword arguments to pass.

        Returns:
            The file path or BytesIO object.
        """
        optimize = kwargs.pop("optimize", self.optimize)
        uri = self._validate_uri(uri)
        uri = super().write(uri=uri, resources=resources, **kwargs)
        self._display_in_notebook(uri, display=self.display)
        if optimize:
            self._optimize_gif(uri)
        return uri

write(uri=None, resources=None, **kwargs)

Write the gif stream to a file or in memory.

Parameters:

Name Type Description Default
uri str | Path | BytesIO | None

The file path or BytesIO object to write to.

None
resources Any | None

The resources to write to the file or in memory.

None
**kwargs dict[str, Any]

Additional keyword arguments to pass.

{}

Returns:

Type Description
Path | BytesIO

The file path or BytesIO object.

Source code in streamjoy/streams.py
def write(
    self,
    uri: str | Path | BytesIO | None = None,
    resources: Any | None = None,
    **kwargs: dict[str, Any],
) -> Path | BytesIO:
    """
    Write the gif stream to a file or in memory.

    Args:
        uri: The file path or BytesIO object to write to.
        resources: The resources to write to the file or in memory.
        **kwargs: Additional keyword arguments to pass.

    Returns:
        The file path or BytesIO object.
    """
    optimize = kwargs.pop("optimize", self.optimize)
    uri = self._validate_uri(uri)
    uri = super().write(uri=uri, resources=resources, **kwargs)
    self._display_in_notebook(uri, display=self.display)
    if optimize:
        self._optimize_gif(uri)
    return uri

HtmlStream

Bases: MediaStream

Source code in streamjoy/streams.py
class HtmlStream(MediaStream):
    _extension = ".html"

    width = param.Integer(default=None, bounds=(1, None), doc="The width of the image.")
    height = param.Integer(
        default=None, bounds=(1, None), doc="The height of the image."
    )
    sizing_mode = param.Selector(
        default="scale_width",
        objects=[
            "fixed",
            "stretch_width",
            "stretch_height",
            "stretch_both",
            "scale_width",
            "scale_height",
            "scale_both",
        ],
        doc="The sizing mode of the image.",
    )

    def __init__(self, **params) -> None:
        import panel as pn

        pn.extension()
        super().__init__(**params)
        self._column = pn.Column()

    @contextmanager
    def _open_buffer(
        self, uri: str | Path | BytesIO, mode: str, extension: str | None = None
    ):
        import panel as pn

        tabs = pn.Tabs(
            tabs_location="right",
            stylesheets=[
                """
                .bk-header {
                    opacity: 0.2; /* Initially hide the element */
                    transition: opacity 0.5s ease; /* Smooth transition for the opacity change */
                }

                .bk-header:hover {
                    opacity: 1; /* Make the element fully visible on hover */
                }
                """
            ],  # noqa: E501
        )
        player = pn.widgets.Player(
            name="Time",
            start=0,
            value=0,
            loop_policy="loop",
            interval=int(1000 / self.fps),
            stylesheets=[
                """
                :host(.bk-panel-models-widgets-Player) {
                    opacity: 0.2;
                    transition: opacity 0.5s ease;
                }

                :host(.bk-panel-models-widgets-Player:hover) {
                    opacity: 1;
                }
                """
            ],
        )
        player.jslink(tabs, value="active", bidirectional=True)
        self._column.objects = [tabs, player]
        yield tabs
        image = tabs.objects[0]
        width = image.object.width
        height = image.object.height
        with param.parameterized.batch_call_watchers(self):
            if self.sizing_mode == "fixed":
                tabs.param.update(
                    width=width + 50,
                    height=height,
                )
                player.param.update(
                    width=width,
                    end=len(tabs) - 1,
                )
                self._column.param.update(
                    width=width,
                    height=height + 100,
                )
            else:
                sizing_mode = self.sizing_mode.replace("both", "width")
                tabs.param.update(
                    min_height=300,
                    max_height=int(height * 1.5),
                    sizing_mode=sizing_mode,
                )
                player.param.update(
                    max_height=150,
                    max_width=450,
                    sizing_mode=sizing_mode,
                    end=len(tabs) - 1,
                    stylesheets=[
                        """
                        :host {
                            align-self: center;
                        }
                        """
                    ],
                )
                self._column.param.update(
                    min_height=300,
                    max_height=int(height * 1.5),
                )
        self._column.save(uri)

    def _write_images(self, buf: pn.Tabs, images: list[Future], **write_kwargs) -> None:
        import panel as pn
        from PIL import Image

        intro_frame = self._create_intro(images)
        self._prepend_intro(buf, intro_frame, **write_kwargs)

        for i, image in enumerate(images):
            image = Image.fromarray(_utils.get_result(image))

            pause = None
            if isinstance(image, Paused):
                pause = image.seconds
                image = image.output

            sizing_mode = self.sizing_mode
            image_tuple = (
                str(i),
                pn.pane.Image(
                    image,
                    width=(
                        (self.width or image.width) if sizing_mode == "fixed" else None
                    ),
                    height=(
                        (self.height or image.height)
                        if sizing_mode == "fixed"
                        else None
                    ),
                    sizing_mode=self.sizing_mode,
                ),
            )
            buf.append(image_tuple, **write_kwargs)

            if pause is not None:
                _utils.repeat_frame(
                    buf.append, image_tuple, pause, self.fps, **write_kwargs
                )

            if i == len(images) - 1:
                _utils.repeat_frame(
                    buf.append,
                    image_tuple,
                    self.ending_pause,
                    self.fps,
                    **write_kwargs,
                )
            del image

    def write(
        self,
        uri: str | Path | BytesIO | None = None,
        resources: Any | None = None,
        **kwargs: dict[str, Any],
    ) -> Path | BytesIO:
        """
        Write the player stream to a file or in memory.

        Args:
            uri: The file path or BytesIO object to write to.
            resources: The resources to write to the file or in memory.
            **kwargs: Additional keyword arguments to pass.

        Returns:
            The file path or BytesIO object.
        """
        self._display_in_notebook(self._column, display=self.display)
        uri = self._validate_uri(uri)
        uri = super().write(uri=uri, resources=resources, **kwargs)
        return uri if not isinstance(uri, BytesIO) else self._column

write(uri=None, resources=None, **kwargs)

Write the player stream to a file or in memory.

Parameters:

Name Type Description Default
uri str | Path | BytesIO | None

The file path or BytesIO object to write to.

None
resources Any | None

The resources to write to the file or in memory.

None
**kwargs dict[str, Any]

Additional keyword arguments to pass.

{}

Returns:

Type Description
Path | BytesIO

The file path or BytesIO object.

Source code in streamjoy/streams.py
def write(
    self,
    uri: str | Path | BytesIO | None = None,
    resources: Any | None = None,
    **kwargs: dict[str, Any],
) -> Path | BytesIO:
    """
    Write the player stream to a file or in memory.

    Args:
        uri: The file path or BytesIO object to write to.
        resources: The resources to write to the file or in memory.
        **kwargs: Additional keyword arguments to pass.

    Returns:
        The file path or BytesIO object.
    """
    self._display_in_notebook(self._column, display=self.display)
    uri = self._validate_uri(uri)
    uri = super().write(uri=uri, resources=resources, **kwargs)
    return uri if not isinstance(uri, BytesIO) else self._column

MediaStream

Bases: Parameterized

An abstract class for creating media streams from various resources. Do not use this class directly; use either GifStream or Mp4Stream.

Expand Source code to see all the parameters and descriptions.

Source code in streamjoy/streams.py
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class MediaStream(param.Parameterized):
    """
    An abstract class for creating media streams from various resources.
    Do not use this class directly; use either GifStream or Mp4Stream.

    Expand Source code to see all the parameters and descriptions.
    """

    resources = param.List(
        default=None,
        doc="The resources to render.",
    )

    renderer = param.Callable(
        doc="The renderer to use for the resources.",
    )

    renderer_iterables = param.ClassSelector(
        default=[],
        class_=Sequence,
        doc="Additional positional arguments to pass to the renderer.",
    )

    renderer_kwargs = param.Dict(
        default={},
        doc="Additional keyword arguments to pass to the renderer.",
    )

    write_kwargs = param.Dict(
        default={},
        doc="Additional keyword arguments to pass to the write method.",
    )

    intro_title = param.ClassSelector(
        class_=(str, ImageText),
        doc="""
        The title to use in the intro frame.
        To customize the text, pass an ImageText instance.
        """,
    )

    intro_subtitle = param.ClassSelector(
        class_=(str, ImageText),
        doc="""
        The subtitle to use in the intro frame.
        To customize the text, pass an ImageText instance.
        """,
    )

    intro_watermark = param.ClassSelector(
        class_=(str, ImageText),
        doc="""
        The watermark to use in the intro frame.
        To customize the text, pass an ImageText instance.
        """,
    )

    intro_pause = param.Number(
        default=None,
        bounds=(1, None),
        doc="""
        The duration in seconds to display the intro frame if
        `intro_title` or `intro_subtitle` is set.
        """,
    )

    intro_background = param.Color(
        doc="The background color to use in the intro frame.",
    )

    ending_pause = param.Number(
        doc="The duration in seconds to pause at the end of the GIF."
    )

    max_frames = param.Integer(
        doc="The maximum number of frames to render.", bounds=(-1, None)
    )

    fps = param.Integer(
        default=None,
        bounds=(1, None),
        doc="The number of frames per second to use for the output.",
    )

    batch_size = param.Integer(
        default=None,
        bounds=(1, None),
        doc="The number of resources to process in a single batch.",
    )

    client = param.ClassSelector(
        class_=Client,
        doc="""
        The distributed client to use; if None, tries to use an existing client,
        or creates a new one.
        """,
    )

    processes = param.Boolean(
        doc="Whether to allow both processes and threads to be used.",
    )

    threads_per_worker = param.Integer(
        default=None,
        bounds=(1, None),
        doc="The number of threads to use per worker.",
    )

    show_progress = param.Boolean(
        default=True,
        doc="Whether to show the progress bar when rendering.",
    )

    scratch_dir = param.Path(
        doc="The directory to use for temporary files.", check_exists=False
    )

    in_memory = param.Boolean(
        doc="Whether to store intermediate results in memory.",
    )

    fsspec_fs = param.Parameter(
        doc="The fsspec filesystem to use for reading and writing.",
    )

    display = param.Boolean(
        doc="Whether to display the output in the notebook after rendering.",
    )

    _tbd_kwargs = param.Dict(doc="Params that are currently unknown.")

    _extension = ""

    logger = _utils.update_logger()

    def __init__(self, resources: list[Any] | None = None, **params) -> None:
        params["resources"] = resources
        params = _utils.populate_config_defaults(params, self.param)

        # forward non recognized params to _tbd_kwargs
        params["_tbd_kwargs"] = {}
        for param_key in set(params):
            if param_key not in self.param:
                params["_tbd_kwargs"][param_key] = params.pop(param_key)

        super().__init__(**params)
        self._progress_bar = ProgressBar(minimum=3 if self.show_progress else np.inf)

    @classmethod
    def from_numpy(
        cls,
        array: np.ndarray,
        renderer: Callable | None = None,
        renderer_iterables: list[Any] | None = None,
        renderer_kwargs: dict | None = None,
        **kwargs,
    ) -> MediaStream:
        serialized = serialize_appropriately(
            cls,
            resources=array,
            renderer=renderer,
            renderer_iterables=renderer_iterables,
            renderer_kwargs=renderer_kwargs,
            **kwargs,
        )
        return cls(**serialized.param.values(), **serialized.kwargs)

    @classmethod
    def from_xarray(
        cls,
        ds: xr.Dataset | xr.DataArray,
        renderer: Callable | None = None,
        renderer_iterables: list[Any] | None = None,
        renderer_kwargs: dict | None = None,
        dim: str | None = None,
        var: str | None = None,
        **kwargs,
    ) -> MediaStream:
        serialized = serialize_xarray(
            cls,
            ds,
            renderer=renderer,
            renderer_iterables=renderer_iterables,
            renderer_kwargs=renderer_kwargs,
            dim=dim,
            var=var,
            **kwargs,
        )
        return cls(**serialized.param.values(), **serialized.kwargs)

    @classmethod
    def from_pandas(
        cls,
        df: pd.DataFrame,
        renderer: Callable | None = None,
        renderer_iterables: list[Any] | None = None,
        renderer_kwargs: dict | None = None,
        groupby: str | None = None,
        **kwargs,
    ) -> MediaStream:
        serialized = serialize_pandas(
            cls,
            resources=df,
            renderer=renderer,
            renderer_iterables=renderer_iterables,
            renderer_kwargs=renderer_kwargs,
            groupby=groupby,
            **kwargs,
        )
        return cls(**serialized.param.values(), **serialized.kwargs)

    @classmethod
    def from_polars(
        cls,
        df: pl.DataFrame,
        renderer: Callable | None = None,
        renderer_iterables: list[Any] | None = None,
        renderer_kwargs: dict | None = None,
        groupby: str | None = None,
        **kwargs,
    ) -> MediaStream:
        serialized = serialize_polars(
            cls,
            resources=df,
            renderer=renderer,
            renderer_iterables=renderer_iterables,
            renderer_kwargs=renderer_kwargs,
            groupby=groupby,
            **kwargs,
        )
        return cls(**serialized.param.values(), **serialized.kwargs)

    @classmethod
    def from_holoviews(
        cls,
        hv_obj: hv.HoloMap | hv.DynamicMap,
        renderer: Callable | None = None,
        renderer_iterables: list[Any] | None = None,
        renderer_kwargs: dict | None = None,
        **kwargs,
    ) -> MediaStream:
        serialized = serialize_holoviews(
            cls,
            resources=hv_obj,
            renderer=renderer,
            renderer_iterables=renderer_iterables,
            renderer_kwargs=renderer_kwargs,
            **kwargs,
        )
        return cls(**serialized.param.values(), **serialized.kwargs)

    @classmethod
    def from_url(
        cls,
        base_url: str,
        pattern: str | None = None,
        sort_key: Callable | None = None,
        max_files: int | None = None,
        file_handler: Callable | None = None,
        file_handler_kwargs: dict | None = None,
        renderer: Callable | None = None,
        renderer_iterables: list[Any] | None = None,
        renderer_kwargs: dict | None = None,
        **kwargs,
    ) -> MediaStream:
        serialized = serialize_url(
            cls,
            resources=base_url,
            pattern=pattern,
            sort_key=sort_key,
            max_files=max_files,
            file_handler=file_handler,
            file_handler_kwargs=file_handler_kwargs,
            renderer=renderer,
            renderer_iterables=renderer_iterables,
            renderer_kwargs=renderer_kwargs,
            **kwargs,
        )
        return cls(**serialized.param.values(), **serialized.kwargs)

    @classmethod
    def from_directory(
        cls,
        base_dir: str | Path,
        pattern: str,
        sort_key: Callable | None = None,
        max_files: int | None = None,
        file_handler: Callable | None = None,
        file_handler_kwargs: dict | None = None,
        renderer: Callable | None = None,
        renderer_iterables: list[Any] | None = None,
        renderer_kwargs: dict | None = None,
        **kwargs,
    ) -> MediaStream:
        paths = Path(base_dir).glob(pattern)
        serialized = serialize_paths(
            cls,
            resources=paths,
            sort_key=sort_key,
            max_files=max_files,
            file_handler=file_handler,
            file_handler_kwargs=file_handler_kwargs,
            renderer=renderer,
            renderer_iterables=renderer_iterables,
            renderer_kwargs=renderer_kwargs,
            **kwargs,
        )
        return cls(**serialized.param.values(), **serialized.kwargs)

    @classmethod
    def _display_in_notebook(
        cls, obj: Any, display: bool = True, is_media: bool = True
    ) -> None:
        if not _utils.using_notebook() or not display:
            return
        from IPython.display import display as ipydisplay

        ipydisplay(obj)

    def _validate_uri(self, path: str | Path, match_extension: bool = True) -> Path:
        if path is None:
            path = _utils.get_config_default("uri", path)

        if isinstance(path, (str, Path)):
            path = Path(path)
            if not path.suffix:
                path = path.with_suffix(self._extension)
            elif path.suffix != self._extension and match_extension:
                raise ValueError(
                    f"Expected {self._extension!r} extension; got {path.suffix!r}."
                )
            path.parent.mkdir(parents=True, exist_ok=True)
        return path

    def _open_buffer(
        self, uri: str | Path | BytesIO, mode: str, extension: str | None = None
    ) -> PluginV3:
        return iio.imopen(uri, mode, extension=extension)

    @abstractmethod
    def _write_images(
        self, buf: PluginV3, images: list[Future], **write_kwargs
    ) -> None:
        """
        This method is responsible for writing images to the output buffer.
        """

    def _render_images(
        self,
        resources: list[Any],
        renderer: Callable | None = None,
        renderer_iterables: list[Any] | None = None,
        renderer_kwargs: dict | None = None,
    ) -> list[Future]:
        try:
            resource_0 = _utils.get_result(_utils.get_first(resources))
        except Exception as exc:
            raise ValueError(
                f"The resources must be set in the class or passed to write; "
                f"got {resources=!r}."
            ) from exc

        if renderer and not renderer.__name__.startswith("default"):
            try:
                iterable_0 = [iterable[0] for iterable in renderer_iterables]
                renderer(resource_0, *iterable_0, **renderer_kwargs)
            except Exception as exc:
                raise exc

        batch_size = self.batch_size
        if renderer is None and "://" in str(resource_0):
            renderer = partial(
                _utils.download_file,
                scratch_dir=self.scratch_dir,
                in_memory=self.in_memory,
            )

        if renderer and self.processes:
            resources = _utils.map_over(
                self.client,
                renderer,
                resources,
                batch_size,
                *renderer_iterables,
                **renderer_kwargs,
            )
        elif renderer and not self.processes:
            renderer = dask.delayed(renderer)
            jobs = [
                renderer(resource, *iterable, **renderer_kwargs)
                for resource, *iterable in zip_longest(resources, *renderer_iterables)
            ]
            with self._progress_bar:
                resources = dask.compute(jobs, scheduler="threads")[0]
        resource_0 = _utils.get_result(_utils.get_first(resources))

        is_like_image = isinstance(resource_0, np.ndarray) and resource_0.ndim == 3
        if not is_like_image:
            try:
                _utils.imread_with_pause(resource_0, fsspec_fs=self.fsspec_fs)
            except Exception as exc:
                raise ValueError(
                    f"Could not read the first resource as an image: {resource_0!r}; "
                    f"if matplotlib or holoviews, try wrapping it with "
                    f"`streamjoy.wrap_matplotlib` or `streamjoy.wrap_holoviews`."
                ) from exc
            images = _utils.map_over(
                self.client,
                _utils.imread_with_pause,
                resources,
                batch_size,
                fsspec_fs=self.fsspec_fs,
            )
        else:
            images = resources

        del resource_0
        return images

    def _create_intro(self, images: list[Future]) -> np.ndarray:
        title = self.intro_title
        subtitle = self.intro_subtitle
        watermark = self.intro_watermark
        if not (title or subtitle):
            return

        height, width = _utils.get_result(images[0]).shape[:2]
        intro_frame = Image.new("RGB", (width, height), color=self.intro_background)
        draw = ImageDraw.Draw(intro_frame)

        if isinstance(title, str):
            title_x = width // 2
            title_y = height // 2
            title = ImageText(
                text=title,
                x=title_x,
                y=title_y,
                anchor="ms",
                size=50,
                kwargs=dict(stroke_width=1),
            )
        if title:
            title.render(draw, width, height)

        if isinstance(subtitle, str):
            subtitle_x = width // 2
            subtitle_y = (height // 2) + title.size
            subtitle = ImageText(
                text=subtitle,
                x=subtitle_x,
                y=subtitle_y,
                size=25,
                anchor="ms",
            )
        if subtitle:
            subtitle.render(draw, width, height)

        if isinstance(watermark, str):
            watermark_x = width - 20
            watermark_y = height - 20
            watermark = ImageText(
                text=watermark,
                x=watermark_x,
                y=watermark_y,
                size=15,
                anchor="rb",
            )
        if watermark:
            watermark.render(draw, width, height)

        intro_frame = np.array(intro_frame)
        return intro_frame

    @abstractmethod
    def _prepend_intro(self, buf: PluginV3, intro_frame: np.ndarray, **kwargs) -> None:
        """
        This method is responsible for prepending an intro frame to the output buffer.
        """

    def copy(self) -> MediaStream:
        """
        Return a copy of the MediaStream.
        """
        return self.__class__(**self.param.values())

    def write(
        self,
        uri: str | Path | BytesIO | None = None,
        resources: Any | None = None,
        **kwargs: dict[str, Any],
    ) -> Path | BytesIO:
        """
        Write the stream to a file or buffer.

        Args:
            uri (str, Path, BytesIO, optional): The file path or buffer to write to.
            resources (Any, optional): The resources to write.

        Returns:
            Path or BytesIO: The file path or buffer written to.
        """
        uri = self._validate_uri(uri or BytesIO())

        renderer = self.renderer
        renderer_kwargs = self.renderer_kwargs.copy()

        for key, value in self._tbd_kwargs.items():
            if key in self.param:
                setattr(self, key, value)
            else:
                renderer_kwargs[key] = value

        if resources is None:
            resources = self.resources
            renderer_iterables = self.renderer_iterables
            max_frames = _utils.get_max_frames(
                len(resources), kwargs.get("max_frames", self.max_frames)
            )
            kwargs["max_frames"] = max_frames
            resources, renderer_iterables = _utils.subset_resources_renderer_iterables(
                resources, renderer_iterables, max_frames
            )
        else:
            serialized = serialize_appropriately(
                self, resources, renderer, renderer_kwargs, **kwargs
            )
            resources = serialized.resources
            renderer = serialized.renderer
            renderer_iterables = serialized.renderer_iterables
            renderer_kwargs = serialized.renderer_kwargs
            kwargs = serialized.kwargs

        # Do this after for efficiency; also it's possible processes is set to False
        self.client = _utils.get_distributed_client(
            self.client,
            processes=self.processes,
            threads_per_worker=self.threads_per_worker,
        )
        self._display_in_notebook(self.client, display=self.display, is_media=False)

        images = self._render_images(
            resources, renderer, renderer_iterables, renderer_kwargs
        )
        outdated = isinstance(uri, Path) and uri.exists()
        with self._open_buffer(uri, "w", extension=self._extension) as buf:
            self._write_images(buf, images, **self.write_kwargs)
        del images
        del resources
        fire_and_forget(gc.collect)

        green = config["logging_success_color"]
        red = config["logging_warning_color"]
        reset = config["logging_reset_color"]
        if isinstance(uri, Path):
            self.logger.success(f"Saved stream to {green}{uri.absolute()}{reset}.")
        else:
            self.logger.success(f"Saved stream to {green}memory{reset}.")
        if _utils.using_notebook() and self.display and outdated:
            self.logger.warning(
                f"The output displayed below{red} could be an older, cached version{reset}; "
                f"click the path above to view the latest."
            )
        return uri

    def join(self, other: MediaStream) -> MediaStream:
        """
        Connects two homogeneous streams into one by simply extending the resources.
        For heterogeneous streams, use `streamjoy.connect` instead.

        Args:
            other (MediaStream): The other stream with identical params to join.

        Returns:
            MediaStream: The joined stream.
        """
        stream = self.copy()
        if isinstance(other, MediaStream):
            stream.resources = self.resources + other.resources
        return stream

    def __add__(self, other: MediaStream) -> MediaStream:
        """
        Connects two homogeneous streams into one by simply extending the resources.
        """
        return self.join(other)

    def __radd__(self, other: MediaStream) -> MediaStream:
        """
        Connects two homogeneous streams into one by simply extending the resources.
        """
        return self.join(other)

    def __copy__(self) -> MediaStream:
        return self.copy()

    def __len__(self) -> int:
        """
        Return the number of resources.
        """
        return len(self.resources)

    def __repr__(self) -> str:
        repr_str = (
            f"<{self.__class__.__name__}>\n"
            f"---\n"
            f"Output:\n"
            f"  max_frames: {self.max_frames}\n"
            f"  fps: {self.fps}\n"
            f"  display: {self.display}\n"
            f"  scratch_dir: {self.scratch_dir}\n"
            f"  in_memory: {self.in_memory}\n"
            f"  fsspec_fs: {self.fsspec_fs}\n"
        )

        if self.intro_title or self.intro_subtitle or self.intro_watermark:
            repr_str += "---\nIntro:\n"
            repr_str += f"  intro_title: {self.intro_title}\n"
            repr_str += f"  intro_subtitle: {self.intro_subtitle}\n"
            repr_str += f"  intro_watermark: {self.intro_watermark}\n"
            repr_str += f"  intro_pause: {self.intro_pause}\n"
            repr_str += f"  intro_background: {self.intro_background}\n"

        client_str = (
            str(self.client).lstrip("<").rstrip(">") if self.client else "Client:"
        )
        repr_str += (
            f"---\n"
            f"{client_str}\n"
            f"  batch_size: {self.batch_size}\n"
            f"  processes: {self.processes}\n"
            f"  threads_per_worker: {self.threads_per_worker}\n"
        )

        if self.renderer or self.renderer_kwargs:
            repr_str += f"---\nRenderer: `{self.renderer.__name__ if self.renderer else 'N/A'}`\n"
            for key, value in self.renderer_kwargs.items():
                if isinstance(value, (list, tuple)):
                    value = f"[{', '.join(map(str, value))}]"
                elif isinstance(value, dict):
                    value = f"{{{', '.join(f'{k}: {str(v)[:88]}' for k, v in value.items())}}}"
                repr_str += f"  {key}: {value}\n"

        if self._tbd_kwargs:
            repr_str += "---\nTBD Keywords (on write):\n"
            for key, value in self._tbd_kwargs.items():
                if isinstance(value, (list, tuple)):
                    value = f"[{', '.join(map(str, value))}]"
                elif isinstance(value, dict):
                    value = f"{{{', '.join(f'{k}: {str(v)[:88]}' for k, v in value.items())}}}"
                repr_str += f"  {key}: {value}\n"

        if self.resources:
            repr_str += (
                f"---\n"
                f"Resources: ({len(self.resources)} frames to stream)\n"
                f"{indent(str(self.resources[0]), ' ' * 2)}\n"
                f"  ...\n"
                f"{indent(str(self.resources[-1]), ' ' * 2)}\n"
            )
        repr_str += "---"
        return repr_str

__add__(other)

Connects two homogeneous streams into one by simply extending the resources.

Source code in streamjoy/streams.py
def __add__(self, other: MediaStream) -> MediaStream:
    """
    Connects two homogeneous streams into one by simply extending the resources.
    """
    return self.join(other)

__len__()

Return the number of resources.

Source code in streamjoy/streams.py
def __len__(self) -> int:
    """
    Return the number of resources.
    """
    return len(self.resources)

__radd__(other)

Connects two homogeneous streams into one by simply extending the resources.

Source code in streamjoy/streams.py
def __radd__(self, other: MediaStream) -> MediaStream:
    """
    Connects two homogeneous streams into one by simply extending the resources.
    """
    return self.join(other)

copy()

Return a copy of the MediaStream.

Source code in streamjoy/streams.py
def copy(self) -> MediaStream:
    """
    Return a copy of the MediaStream.
    """
    return self.__class__(**self.param.values())

join(other)

Connects two homogeneous streams into one by simply extending the resources. For heterogeneous streams, use streamjoy.connect instead.

Parameters:

Name Type Description Default
other MediaStream

The other stream with identical params to join.

required

Returns:

Name Type Description
MediaStream MediaStream

The joined stream.

Source code in streamjoy/streams.py
def join(self, other: MediaStream) -> MediaStream:
    """
    Connects two homogeneous streams into one by simply extending the resources.
    For heterogeneous streams, use `streamjoy.connect` instead.

    Args:
        other (MediaStream): The other stream with identical params to join.

    Returns:
        MediaStream: The joined stream.
    """
    stream = self.copy()
    if isinstance(other, MediaStream):
        stream.resources = self.resources + other.resources
    return stream

write(uri=None, resources=None, **kwargs)

Write the stream to a file or buffer.

Parameters:

Name Type Description Default
uri (str, Path, BytesIO)

The file path or buffer to write to.

None
resources Any

The resources to write.

None

Returns:

Type Description
Path | BytesIO

Path or BytesIO: The file path or buffer written to.

Source code in streamjoy/streams.py
def write(
    self,
    uri: str | Path | BytesIO | None = None,
    resources: Any | None = None,
    **kwargs: dict[str, Any],
) -> Path | BytesIO:
    """
    Write the stream to a file or buffer.

    Args:
        uri (str, Path, BytesIO, optional): The file path or buffer to write to.
        resources (Any, optional): The resources to write.

    Returns:
        Path or BytesIO: The file path or buffer written to.
    """
    uri = self._validate_uri(uri or BytesIO())

    renderer = self.renderer
    renderer_kwargs = self.renderer_kwargs.copy()

    for key, value in self._tbd_kwargs.items():
        if key in self.param:
            setattr(self, key, value)
        else:
            renderer_kwargs[key] = value

    if resources is None:
        resources = self.resources
        renderer_iterables = self.renderer_iterables
        max_frames = _utils.get_max_frames(
            len(resources), kwargs.get("max_frames", self.max_frames)
        )
        kwargs["max_frames"] = max_frames
        resources, renderer_iterables = _utils.subset_resources_renderer_iterables(
            resources, renderer_iterables, max_frames
        )
    else:
        serialized = serialize_appropriately(
            self, resources, renderer, renderer_kwargs, **kwargs
        )
        resources = serialized.resources
        renderer = serialized.renderer
        renderer_iterables = serialized.renderer_iterables
        renderer_kwargs = serialized.renderer_kwargs
        kwargs = serialized.kwargs

    # Do this after for efficiency; also it's possible processes is set to False
    self.client = _utils.get_distributed_client(
        self.client,
        processes=self.processes,
        threads_per_worker=self.threads_per_worker,
    )
    self._display_in_notebook(self.client, display=self.display, is_media=False)

    images = self._render_images(
        resources, renderer, renderer_iterables, renderer_kwargs
    )
    outdated = isinstance(uri, Path) and uri.exists()
    with self._open_buffer(uri, "w", extension=self._extension) as buf:
        self._write_images(buf, images, **self.write_kwargs)
    del images
    del resources
    fire_and_forget(gc.collect)

    green = config["logging_success_color"]
    red = config["logging_warning_color"]
    reset = config["logging_reset_color"]
    if isinstance(uri, Path):
        self.logger.success(f"Saved stream to {green}{uri.absolute()}{reset}.")
    else:
        self.logger.success(f"Saved stream to {green}memory{reset}.")
    if _utils.using_notebook() and self.display and outdated:
        self.logger.warning(
            f"The output displayed below{red} could be an older, cached version{reset}; "
            f"click the path above to view the latest."
        )
    return uri

Mp4Stream

Bases: MediaStream

A stream that writes to an MP4.

See MediaStream for all the available parameters.

Source code in streamjoy/streams.py
class Mp4Stream(MediaStream):
    """
    A stream that writes to an MP4.

    See `MediaStream` for all the available parameters.
    """

    from imageio.plugins.pyav import PyAVPlugin

    codec = param.String(doc="The codec to use for the video.")

    _extension = ".mp4"

    def __init__(self, **params) -> None:
        params["codec"] = _utils.get_config_default(
            "codec", params.get("codec"), warn=False
        )
        super().__init__(**params)

    @classmethod
    def _display_in_notebook(
        cls,
        obj: Any,
        display: bool = True,
        is_media: bool = True,
    ) -> None:
        if not _utils.using_notebook() or not display:
            return

        from IPython.display import HTML, Video
        from IPython.display import display as ipydisplay

        if is_media:
            if isinstance(obj, BytesIO):
                obj.seek(0)
                data = base64.b64encode(obj.getvalue()).decode("ascii")
                obj = HTML(
                    data=f"""
                    <video controls>
                        <source src="data:video/mp4;base64,{data}" type="video/mp4">
                    </video>
                """
                )
            else:
                obj = Video(obj)
        ipydisplay(obj)

    def _prepend_intro(self, buf: PyAVPlugin, intro_frame: np.ndarray, **kwargs):
        if intro_frame is None:
            return

        _utils.repeat_frame(
            buf.write_frame, intro_frame, self.intro_pause, self.fps, **kwargs
        )

    def _write_images(
        self, buf: PyAVPlugin, images: list[Future], **write_kwargs
    ) -> None:
        """
        Write images for MP4Stream.
        """
        init = write_kwargs.pop("init", True)
        init_kwargs = _utils.pop_kwargs(buf.init_video_stream, write_kwargs)
        if init:
            init_kwargs["fps"] = self.fps
            buf.init_video_stream(self.codec, **init_kwargs)

        if "crf" in write_kwargs:
            buf._video_stream.options = {"crf": str(write_kwargs.pop("crf"))}

        intro_frame = self._create_intro(images)
        self._prepend_intro(buf, intro_frame, **write_kwargs)

        for i, image in enumerate(images):
            image = _utils.get_result(image)

            pause = None
            if isinstance(image, Paused):
                pause = image.seconds
                image = image.output

            if image.shape[0] % 2:
                image = image[:-1, :, :]
            if image.shape[1] % 2:
                image = image[:, :-1, :]
            image = image[:, :, :3]  # remove alpha channel if present
            buf.write_frame(image, **write_kwargs)

            if pause is not None:
                _utils.repeat_frame(
                    buf.write_frame, image, pause, self.fps, **write_kwargs
                )

            if i == len(images) - 1:
                _utils.repeat_frame(
                    buf.write_frame, image, self.ending_pause, self.fps, **write_kwargs
                )
            del image

    def write(
        self,
        uri: str | Path | BytesIO | None = None,
        resources: Any | None = None,
        **kwargs: dict[str, Any],
    ) -> Path | BytesIO:
        """
        Write the MP4 stream to a file or in memory.

        Args:
            uri: The file path or BytesIO object to write to.
            resources: The resources to write to the file or in memory.
            **kwargs: Additional keyword arguments to pass.

        Returns:
            The file path or BytesIO object.
        """
        uri = self._validate_uri(uri)
        uri = super().write(uri=uri, resources=resources, **kwargs)
        self._display_in_notebook(uri, display=self.display)
        return uri

write(uri=None, resources=None, **kwargs)

Write the MP4 stream to a file or in memory.

Parameters:

Name Type Description Default
uri str | Path | BytesIO | None

The file path or BytesIO object to write to.

None
resources Any | None

The resources to write to the file or in memory.

None
**kwargs dict[str, Any]

Additional keyword arguments to pass.

{}

Returns:

Type Description
Path | BytesIO

The file path or BytesIO object.

Source code in streamjoy/streams.py
def write(
    self,
    uri: str | Path | BytesIO | None = None,
    resources: Any | None = None,
    **kwargs: dict[str, Any],
) -> Path | BytesIO:
    """
    Write the MP4 stream to a file or in memory.

    Args:
        uri: The file path or BytesIO object to write to.
        resources: The resources to write to the file or in memory.
        **kwargs: Additional keyword arguments to pass.

    Returns:
        The file path or BytesIO object.
    """
    uri = self._validate_uri(uri)
    uri = super().write(uri=uri, resources=resources, **kwargs)
    self._display_in_notebook(uri, display=self.display)
    return uri