import _plotly_utils.basevalidators


class YsrcValidator(_plotly_utils.basevalidators.SrcValidator):
    def __init__(self, plotly_name="ysrc", parent_name="pointcloud", **kwargs):
        super(YsrcValidator, self).__init__(
            plotly_name=plotly_name,
            parent_name=parent_name,
            edit_type=kwargs.pop("edit_type", "none"),
            role=kwargs.pop("role", "info"),
            **kwargs
        )


import _plotly_utils.basevalidators


class YboundssrcValidator(_plotly_utils.basevalidators.SrcValidator):
    def __init__(self, plotly_name="yboundssrc", parent_name="pointcloud", **kwargs):
        super(YboundssrcValidator, self).__init__(
            plotly_name=plotly_name,
            parent_name=parent_name,
            edit_type=kwargs.pop("edit_type", "none"),
            role=kwargs.pop("role", "info"),
            **kwargs
        )


import _plotly_utils.basevalidators


class YboundsValidator(_plotly_utils.basevalidators.DataArrayValidator):
    def __init__(self, plotly_name="ybounds", parent_name="pointcloud", **kwargs):
        super(YboundsValidator, self).__init__(
            plotly_name=plotly_name,
            parent_name=parent_name,
            edit_type=kwargs.pop("edit_type", "calc"),
            role=kwargs.pop("role", "data"),
            **kwargs
        )


import _plotly_utils.basevalidators


class YAxisValidator(_plotly_utils.basevalidators.SubplotidValidator):
    def __init__(self, plotly_name="yaxis", parent_name="pointcloud", **kwargs):
        super(YAxisValidator, self).__init__(
            plotly_name=plotly_name,
            parent_name=parent_name,
            dflt=kwargs.pop("dflt", "y"),
            edit_type=kwargs.pop("edit_type", "calc+clearAxisTypes"),
            role=kwargs.pop("role", "info"),
            **kwargs
        )


import _plotly_utils.basevalidators


class YValidator(_plotly_utils.basevalidators.DataArrayValidator):
    def __init__(self, plotly_name="y", parent_name="pointcloud", **kwargs):
        super(YValidator, self).__init__(
            plotly_name=plotly_name,
            parent_name=parent_name,
            edit_type=kwargs.pop("edit_type", "calc+clearAxisTypes"),
            role=kwargs.pop("role", "data"),
            **kwargs
        )


import _plotly_utils.basevalidators


class XysrcValidator(_plotly_utils.basevalidators.SrcValidator):
    def __init__(self, plotly_name="xysrc", parent_name="pointcloud", **kwargs):
        super(XysrcValidator, self).__init__(
            plotly_name=plotly_name,
            parent_name=parent_name,
            edit_type=kwargs.pop("edit_type", "none"),
            role=kwargs.pop("role", "info"),
            **kwargs
        )


import _plotly_utils.basevalidators


class XyValidator(_plotly_utils.basevalidators.DataArrayValidator):
    def __init__(self, plotly_name="xy", parent_name="pointcloud", **kwargs):
        super(XyValidator, self).__init__(
            plotly_name=plotly_name,
            parent_name=parent_name,
            edit_type=kwargs.pop("edit_type", "calc"),
            role=kwargs.pop("role", "data"),
            **kwargs
        )


import _plotly_utils.basevalidators


class XsrcValidator(_plotly_utils.basevalidators.SrcValidator):
    def __init__(self, plotly_name="xsrc", parent_name="pointcloud", **kwargs):
        super(XsrcValidator, self).__init__(
            plotly_name=plotly_name,
            parent_name=parent_name,
            edit_type=kwargs.pop("edit_type", "none"),
            role=kwargs.pop("role", "info"),
            **kwargs
        )


import _plotly_utils.basevalidators


class XboundssrcValidator(_plotly_utils.basevalidators.SrcValidator):
    def __init__(self, plotly_name="xboundssrc", parent_name="pointcloud", **kwargs):
        super(XboundssrcValidator, self).__init__(
            plotly_name=plotly_name,
            parent_name=parent_name,
            edit_type=kwargs.pop("edit_type", "none"),
            role=kwargs.pop("role", "info"),
            **kwargs
        )


import _plotly_utils.basevalidators


class XboundsValidator(_plotly_utils.basevalidators.DataArrayValidator):
    def __init__(self, plotly_name="xbounds", parent_name="pointcloud", **kwargs):
        super(XboundsValidator, self).__init__(
            plotly_name=plotly_name,
            parent_name=parent_name,
            edit_type=kwargs.pop("edit_type", "calc"),
            role=kwargs.pop("role", "data"),
            **kwargs
        )


import _plotly_utils.basevalidators


class XAxisValidator(_plotly_utils.basevalidators.SubplotidValidator):
    def __init__(self, plotly_name="xaxis", parent_name="pointcloud", **kwargs):
        super(XAxisValidator, self).__init__(
            plotly_name=plotly_name,
            parent_name=parent_name,
            dflt=kwargs.pop("dflt", "x"),
            edit_type=kwargs.pop("edit_type", "calc+clearAxisTypes"),
            role=kwargs.pop("role", "info"),
            **kwargs
        )


import _plotly_utils.basevalidators


class XValidator(_plotly_utils.basevalidators.DataArrayValidator):
    def __init__(self, plotly_name="x", parent_name="pointcloud", **kwargs):
        super(XValidator, self).__init__(
            plotly_name=plotly_name,
            parent_name=parent_name,
            edit_type=kwargs.pop("edit_type", "calc+clearAxisTypes"),
            role=kwargs.pop("role", "data"),
            **kwargs
        )


import _plotly_utils.basevalidators


class VisibleValidator(_plotly_utils.basevalidators.EnumeratedValidator):
    def __init__(self, plotly_name="visible", parent_name="pointcloud", **kwargs):
        super(VisibleValidator, self).__init__(
            plotly_name=plotly_name,
            parent_name=parent_name,
            edit_type=kwargs.pop("edit_type", "calc"),
            role=kwargs.pop("role", "info"),
            values=kwargs.pop("values", [True, False, "legendonly"]),
            **kwargs
        )


import _plotly_utils.basevalidators


class UirevisionValidator(_plotly_utils.basevalidators.AnyValidator):
    def __init__(self, plotly_name="uirevision", parent_name="pointcloud", **kwargs):
        super(UirevisionValidator, self).__init__(
            plotly_name=plotly_name,
            parent_name=parent_name,
            edit_type=kwargs.pop("edit_type", "none"),
            role=kwargs.pop("role", "info"),
            **kwargs
        )


import _plotly_utils.basevalidators


class UidValidator(_plotly_utils.basevalidators.StringValidator):
    def __init__(self, plotly_name="uid", parent_name="pointcloud", **kwargs):
        super(UidValidator, self).__init__(
            plotly_name=plotly_name,
            parent_name=parent_name,
            edit_type=kwargs.pop("edit_type", "plot"),
            role=kwargs.pop("role", "info"),
            **kwargs
        )


import _plotly_utils.basevalidators


class TextsrcValidator(_plotly_utils.basevalidators.SrcValidator):
    def __init__(self, plotly_name="textsrc", parent_name="pointcloud", **kwargs):
        super(TextsrcValidator, self).__init__(
            plotly_name=plotly_name,
            parent_name=parent_name,
            edit_type=kwargs.pop("edit_type", "none"),
            role=kwargs.pop("role", "info"),
            **kwargs
        )


import _plotly_utils.basevalidators


class TextValidator(_plotly_utils.basevalidators.StringValidator):
    def __init__(self, plotly_name="text", parent_name="pointcloud", **kwargs):
        super(TextValidator, self).__init__(
            plotly_name=plotly_name,
            parent_name=parent_name,
            array_ok=kwargs.pop("array_ok", True),
            edit_type=kwargs.pop("edit_type", "calc"),
            role=kwargs.pop("role", "info"),
            **kwargs
        )


import _plotly_utils.basevalidators


class StreamValidator(_plotly_utils.basevalidators.CompoundValidator):
    def __init__(self, plotly_name="stream", parent_name="pointcloud", **kwargs):
        super(StreamValidator, self).__init__(
            plotly_name=plotly_name,
            parent_name=parent_name,
            data_class_str=kwargs.pop("data_class_str", "Stream"),
            data_docs=kwargs.pop(
                "data_docs",
                """
            maxpoints
                Sets the maximum number of points to keep on
                the plots from an incoming stream. If
                `maxpoints` is set to 50, only the newest 50
                points will be displayed on the plot.
            token
                The stream id number links a data trace on a
                plot with a stream. See https://chart-
                studio.plotly.com/settings for more details.
""",
            ),
            **kwargs
        )


import _plotly_utils.basevalidators


class ShowlegendValidator(_plotly_utils.basevalidators.BooleanValidator):
    def __init__(self, plotly_name="showlegend", parent_name="pointcloud", **kwargs):
        super(ShowlegendValidator, self).__init__(
            plotly_name=plotly_name,
            parent_name=parent_name,
            edit_type=kwargs.pop("edit_type", "style"),
            role=kwargs.pop("role", "info"),
            **kwargs
        )


import _plotly_utils.basevalidators


class OpacityValidator(_plotly_utils.basevalidators.NumberValidator):
    def __init__(self, plotly_name="opacity", parent_name="pointcloud", **kwargs):
        super(OpacityValidator, self).__init__(
            plotly_name=plotly_name,
            parent_name=parent_name,
            edit_type=kwargs.pop("edit_type", "style"),
            max=kwargs.pop("max", 1),
            min=kwargs.pop("min", 0),
            role=kwargs.pop("role", "style"),
            **kwargs
        )


import _plotly_utils.basevalidators


class NameValidator(_plotly_utils.basevalidators.StringValidator):
    def __init__(self, plotly_name="name", parent_name="pointcloud", **kwargs):
        super(NameValidator, self).__init__(
            plotly_name=plotly_name,
            parent_name=parent_name,
            edit_type=kwargs.pop("edit_type", "style"),
            role=kwargs.pop("role", "info"),
            **kwargs
        )


import _plotly_utils.basevalidators


class MetasrcValidator(_plotly_utils.basevalidators.SrcValidator):
    def __init__(self, plotly_name="metasrc", parent_name="pointcloud", **kwargs):
        super(MetasrcValidator, self).__init__(
            plotly_name=plotly_name,
            parent_name=parent_name,
            edit_type=kwargs.pop("edit_type", "none"),
            role=kwargs.pop("role", "info"),
            **kwargs
        )


import _plotly_utils.basevalidators


class MetaValidator(_plotly_utils.basevalidators.AnyValidator):
    def __init__(self, plotly_name="meta", parent_name="pointcloud", **kwargs):
        super(MetaValidator, self).__init__(
            plotly_name=plotly_name,
            parent_name=parent_name,
            array_ok=kwargs.pop("array_ok", True),
            edit_type=kwargs.pop("edit_type", "plot"),
            role=kwargs.pop("role", "info"),
            **kwargs
        )


import _plotly_utils.basevalidators


class MarkerValidator(_plotly_utils.basevalidators.CompoundValidator):
    def __init__(self, plotly_name="marker", parent_name="pointcloud", **kwargs):
        super(MarkerValidator, self).__init__(
            plotly_name=plotly_name,
            parent_name=parent_name,
            data_class_str=kwargs.pop("data_class_str", "Marker"),
            data_docs=kwargs.pop(
                "data_docs",
                """
            blend
                Determines if colors are blended together for a
                translucency effect in case `opacity` is
                specified as a value less then `1`. Setting
                `blend` to `true` reduces zoom/pan speed if
                used with large numbers of points.
            border
                :class:`plotly.graph_objects.pointcloud.marker.
                Border` instance or dict with compatible
                properties
            color
                Sets the marker fill color. It accepts a
                specific color.If the color is not fully opaque
                and there are hundreds of thousandsof points,
                it may cause slower zooming and panning.
            opacity
                Sets the marker opacity. The default value is
                `1` (fully opaque). If the markers are not
                fully opaque and there are hundreds of
                thousands of points, it may cause slower
                zooming and panning. Opacity fades the color
                even if `blend` is left on `false` even if
                there is no translucency effect in that case.
            sizemax
                Sets the maximum size (in px) of the rendered
                marker points. Effective when the `pointcloud`
                shows only few points.
            sizemin
                Sets the minimum size (in px) of the rendered
                marker points, effective when the `pointcloud`
                shows a million or more points.
""",
            ),
            **kwargs
        )


import _plotly_utils.basevalidators


class LegendgroupValidator(_plotly_utils.basevalidators.StringValidator):
    def __init__(self, plotly_name="legendgroup", parent_name="pointcloud", **kwargs):
        super(LegendgroupValidator, self).__init__(
            plotly_name=plotly_name,
            parent_name=parent_name,
            edit_type=kwargs.pop("edit_type", "style"),
            role=kwargs.pop("role", "info"),
            **kwargs
        )


import _plotly_utils.basevalidators


class IndicessrcValidator(_plotly_utils.basevalidators.SrcValidator):
    def __init__(self, plotly_name="indicessrc", parent_name="pointcloud", **kwargs):
        super(IndicessrcValidator, self).__init__(
            plotly_name=plotly_name,
            parent_name=parent_name,
            edit_type=kwargs.pop("edit_type", "none"),
            role=kwargs.pop("role", "info"),
            **kwargs
        )


import _plotly_utils.basevalidators


class IndicesValidator(_plotly_utils.basevalidators.DataArrayValidator):
    def __init__(self, plotly_name="indices", parent_name="pointcloud", **kwargs):
        super(IndicesValidator, self).__init__(
            plotly_name=plotly_name,
            parent_name=parent_name,
            edit_type=kwargs.pop("edit_type", "calc"),
            role=kwargs.pop("role", "data"),
            **kwargs
        )


import _plotly_utils.basevalidators


class IdssrcValidator(_plotly_utils.basevalidators.SrcValidator):
    def __init__(self, plotly_name="idssrc", parent_name="pointcloud", **kwargs):
        super(IdssrcValidator, self).__init__(
            plotly_name=plotly_name,
            parent_name=parent_name,
            edit_type=kwargs.pop("edit_type", "none"),
            role=kwargs.pop("role", "info"),
            **kwargs
        )


import _plotly_utils.basevalidators


class IdsValidator(_plotly_utils.basevalidators.DataArrayValidator):
    def __init__(self, plotly_name="ids", parent_name="pointcloud", **kwargs):
        super(IdsValidator, self).__init__(
            plotly_name=plotly_name,
            parent_name=parent_name,
            edit_type=kwargs.pop("edit_type", "calc"),
            role=kwargs.pop("role", "data"),
            **kwargs
        )


import _plotly_utils.basevalidators


class HoverlabelValidator(_plotly_utils.basevalidators.CompoundValidator):
    def __init__(self, plotly_name="hoverlabel", parent_name="pointcloud", **kwargs):
        super(HoverlabelValidator, self).__init__(
            plotly_name=plotly_name,
            parent_name=parent_name,
            data_class_str=kwargs.pop("data_class_str", "Hoverlabel"),
            data_docs=kwargs.pop(
                "data_docs",
                """
            align
                Sets the horizontal alignment of the text
                content within hover label box. Has an effect
                only if the hover label text spans more two or
                more lines
            alignsrc
                Sets the source reference on Chart Studio Cloud
                for  align .
            bgcolor
                Sets the background color of the hover labels
                for this trace
            bgcolorsrc
                Sets the source reference on Chart Studio Cloud
                for  bgcolor .
            bordercolor
                Sets the border color of the hover labels for
                this trace.
            bordercolorsrc
                Sets the source reference on Chart Studio Cloud
                for  bordercolor .
            font
                Sets the font used in hover labels.
            namelength
                Sets the default length (in number of
                characters) of the trace name in the hover
                labels for all traces. -1 shows the whole name
                regardless of length. 0-3 shows the first 0-3
                characters, and an integer >3 will show the
                whole name if it is less than that many
                characters, but if it is longer, will truncate
                to `namelength - 3` characters and add an
                ellipsis.
            namelengthsrc
                Sets the source reference on Chart Studio Cloud
                for  namelength .
""",
            ),
            **kwargs
        )


import _plotly_utils.basevalidators


class HoverinfosrcValidator(_plotly_utils.basevalidators.SrcValidator):
    def __init__(self, plotly_name="hoverinfosrc", parent_name="pointcloud", **kwargs):
        super(HoverinfosrcValidator, self).__init__(
            plotly_name=plotly_name,
            parent_name=parent_name,
            edit_type=kwargs.pop("edit_type", "none"),
            role=kwargs.pop("role", "info"),
            **kwargs
        )


import _plotly_utils.basevalidators


class HoverinfoValidator(_plotly_utils.basevalidators.FlaglistValidator):
    def __init__(self, plotly_name="hoverinfo", parent_name="pointcloud", **kwargs):
        super(HoverinfoValidator, self).__init__(
            plotly_name=plotly_name,
            parent_name=parent_name,
            array_ok=kwargs.pop("array_ok", True),
            edit_type=kwargs.pop("edit_type", "none"),
            extras=kwargs.pop("extras", ["all", "none", "skip"]),
            flags=kwargs.pop("flags", ["x", "y", "z", "text", "name"]),
            role=kwargs.pop("role", "info"),
            **kwargs
        )


import _plotly_utils.basevalidators


class CustomdatasrcValidator(_plotly_utils.basevalidators.SrcValidator):
    def __init__(self, plotly_name="customdatasrc", parent_name="pointcloud", **kwargs):
        super(CustomdatasrcValidator, self).__init__(
            plotly_name=plotly_name,
            parent_name=parent_name,
            edit_type=kwargs.pop("edit_type", "none"),
            role=kwargs.pop("role", "info"),
            **kwargs
        )


import _plotly_utils.basevalidators


class CustomdataValidator(_plotly_utils.basevalidators.DataArrayValidator):
    def __init__(self, plotly_name="customdata", parent_name="pointcloud", **kwargs):
        super(CustomdataValidator, self).__init__(
            plotly_name=plotly_name,
            parent_name=parent_name,
            edit_type=kwargs.pop("edit_type", "calc"),
            role=kwargs.pop("role", "data"),
            **kwargs
        )
