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        url_template : string
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            ...     }
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        In the Notebook, the containing element will be available as `element`,
        and jQuery will be available.  Content appended to `element` will be
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        Parameters
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        data : unicode, str or bytes
            The Javascript source code or a URL to download it from.
        url : unicode
            A URL to download the data from.
        filename : unicode
            Path to a local file to load the data from.
        lib : list or str
            A sequence of Javascript library URLs to load asynchronously before
            running the source code. The full URLs of the libraries should
            be given. A single Javascript library URL can also be given as a
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            The raw image data or a URL or filename to load the data from.
            This always results in embedded image data.

        url : unicode
            A URL to download the data from. If you specify `url=`,
            the image data will not be embedded unless you also specify `embed=True`.

        filename : unicode
            Path to a local file to load the data from.
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        format : unicode
            The format of the image data (png/jpeg/jpg/gif). If a filename or URL is given
            for format will be inferred from the filename extension.

        embed : bool
            Should the image data be embedded using a data URI (True) or be
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            to be viewable later with no internet connection in the notebook.

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            default value is `False`.

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        width : int
            Width in pixels to which to constrain the image in html

        height : int
            Height in pixels to which to constrain the image in html

        retina : bool
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        unconfined : bool
            Set unconfined=True to disable max-width confinement of the image.

        metadata : dict
            Specify extra metadata to attach to the image.

        alt : unicode
            Alternative text for the image, for use by screen readers.

        Examples
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        embedded image data, works in qtconsole and notebook
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        a URL, or a filename from which to load image data.
        The result is always embedding image data for inline images.

        >>> Image('https://www.google.fr/images/srpr/logo3w.png') # doctest: +SKIP
        <IPython.core.display.Image object>

        >>> Image('/path/to/image.jpg')
        <IPython.core.display.Image object>

        >>> Image(b'RAW_PNG_DATA...')
        <IPython.core.display.Image object>

        Specifying Image(url=...) does not embed the image data,
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            The raw video data or a URL or filename to load the data from.
            Raw data will require passing ``embed=True``.

        url : unicode
            A URL for the video. If you specify ``url=``,
            the image data will not be embedded.

        filename : unicode
            Path to a local file containing the video.
            Will be interpreted as a local URL unless ``embed=True``.

        embed : bool
            Should the video be embedded using a data URI (True) or be
            loaded using a <video> tag (False).

            Since videos are large, embedding them should be avoided, if possible.
            You must confirm embedding as your intention by passing ``embed=True``.

            Local files can be displayed with URLs without embedding the content, via::

                Video('./video.mp4')

        mimetype : unicode
            Specify the mimetype for embedded videos.
            Default will be guessed from file extension, if available.

        width : int
            Width in pixels to which to constrain the video in HTML.
            If not supplied, defaults to the width of the video.

        height : int
            Height in pixels to which to constrain the video in html.
            If not supplied, defaults to the height of the video.

        html_attributes : str
            Attributes for the HTML ``<video>`` block.
            Default: ``"controls"`` to get video controls.
            Other examples: ``"controls muted"`` for muted video with controls,
            ``"loop autoplay"`` for looping autoplaying video without controls.

        Examples
        --------
        ::

            Video('https://archive.org/download/Sita_Sings_the_Blues/Sita_Sings_the_Blues_small.mp4')
            Video('path/to/video.mp4')
            Video('path/to/video.mp4', embed=True)
            Video('path/to/video.mp4', embed=True, html_attributes="controls muted autoplay")
            Video(b'raw-videodata', embed=True)
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    .. deprecated:: 7.23

       use `matplotlib_inline.backend_inline.set_matplotlib_formats()`

    Select figure formats for the inline backend. Optionally pass quality for JPEG.

    For example, this enables PNG and JPEG output with a JPEG quality of 90%::

        In [1]: set_matplotlib_formats('png', 'jpeg', quality=90)

    To set this in your config files use the following::

        c.InlineBackend.figure_formats = {'png', 'jpeg'}
        c.InlineBackend.print_figure_kwargs.update({'quality' : 90})

    Parameters
    ----------
    *formats : strs
        One or more figure formats to enable: 'png', 'retina', 'jpeg', 'svg', 'pdf'.
    **kwargs
        Keyword args will be relayed to ``figure.canvas.print_figure``.
    z�`set_matplotlib_formats` is deprecated since IPython 7.23, directly use `matplotlib_inline.backend_inline.set_matplotlib_formats()`r.r/r)r$N)r�r,r2� matplotlib_inline.backend_inliner$)�formatsrN�set_matplotlib_formats_origs   r9r$r$�s0��2
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        use `matplotlib_inline.backend_inline.set_matplotlib_close()`

    Set whether the inline backend closes all figures automatically or not.

    By default, the inline backend used in the IPython Notebook will close all
    matplotlib figures automatically after each cell is run. This means that
    plots in different cells won't interfere. Sometimes, you may want to make
    a plot in one cell and then refine it in later cells. This can be accomplished
    by::

        In [1]: set_matplotlib_close(False)

    To set this in your config files use the following::

        c.InlineBackend.close_figures = False

    Parameters
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    close : bool
        Should all matplotlib figures be automatically closed after each cell is
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