def serialize_json(obj, pretty=None, indent=None, **kwargs):
    ''' Return a serialized JSON representation of objects, suitable to
    send to BokehJS.

    This function is typically used to serialize single python objects in
    the manner expected by BokehJS. In particular, many datetime values are
    automatically normalized to an expected format. Some Bokeh objects can
    also be passed, but note that Bokeh models are typically properly
    serialized in the context of an entire Bokeh document.

    The resulting JSON always has sorted keys. By default. the output is
    as compact as possible unless pretty output or indentation is requested.

    Args:
        obj (obj) : the object to serialize to JSON format

        pretty (bool, optional) :

            Whether to generate prettified output. If ``True``, spaces are
            added after added after separators, and indentation and newlines
            are applied. (default: False)

            Pretty output can also be enabled with the environment variable
            ``BOKEH_PRETTY``, which overrides this argument, if set.

        indent (int or None, optional) :

            Amount of indentation to use in generated JSON output. If ``None``
            then no indentation is used, unless pretty output is enabled,
            in which case two spaces are used. (default: None)

    Any additional keyword arguments are passed to ``json.dumps``, except for
    some that  are computed internally, and cannot be overridden:

    * allow_nan
    * indent
    * separators
    * sort_keys

    Examples:

        .. code-block:: python

            >>> data = dict(b=np.datetime64('2017-01-01'), a = np.arange(3))

            >>>print(serialize_json(data))
            {"a":[0,1,2],"b":1483228800000.0}

            >>> print(serialize_json(data, pretty=True))
            {
              "a": [
                0,
                1,
                2
              ],
              "b": 1483228800000.0
            }

    '''

    # these args to json.dumps are computed internally and should not be passed along
    for name in ['allow_nan', 'separators', 'sort_keys']:
        if name in kwargs:
            raise ValueError("The value of %r is computed internally, overriding is not permissable." % name)

    if pretty is None:
        pretty = settings.pretty(False)

    if pretty:
        separators=(",", ": ")
    else:
        separators=(",", ":")

    if pretty and indent is None:
        indent = 2

    return json.dumps(obj, cls=BokehJSONEncoder, allow_nan=False, indent=indent, separators=separators, sort_keys=True, **kwargs)
Return a serialized JSON representation of objects, suitable to
    send to BokehJS.

    This function is typically used to serialize single python objects in
    the manner expected by BokehJS. In particular, many datetime values are
    automatically normalized to an expected format. Some Bokeh objects can
    also be passed, but note that Bokeh models are typically properly
    serialized in the context of an entire Bokeh document.

    The resulting JSON always has sorted keys. By default. the output is
    as compact as possible unless pretty output or indentation is requested.

    Args:
        obj (obj) : the object to serialize to JSON format

        pretty (bool, optional) :

            Whether to generate prettified output. If ``True``, spaces are
            added after added after separators, and indentation and newlines
            are applied. (default: False)

            Pretty output can also be enabled with the environment variable
            ``BOKEH_PRETTY``, which overrides this argument, if set.

        indent (int or None, optional) :

            Amount of indentation to use in generated JSON output. If ``None``
            then no indentation is used, unless pretty output is enabled,
            in which case two spaces are used. (default: None)

    Any additional keyword arguments are passed to ``json.dumps``, except for
    some that  are computed internally, and cannot be overridden:

    * allow_nan
    * indent
    * separators
    * sort_keys

    Examples:

        .. code-block:: python

            >>> data = dict(b=np.datetime64('2017-01-01'), a = np.arange(3))

            >>>print(serialize_json(data))
            {"a":[0,1,2],"b":1483228800000.0}

            >>> print(serialize_json(data, pretty=True))
            {
              "a": [
                0,
                1,
                2
              ],
              "b": 1483228800000.0
            }