text: import _plotly_utils.basevalidators
  
  
  class VisibleValidator(_plotly_utils.basevalidators.EnumeratedValidator):
      def __init__(self, plotly_name="visible", parent_name="indicator", **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 ValueValidator(_plotly_utils.basevalidators.NumberValidator):
      def __init__(self, plotly_name="value", parent_name="indicator", **kwargs):
          super(ValueValidator, self).__init__(
              plotly_name=plotly_name,
              parent_name=parent_name,
              anim=kwargs.pop("anim", True),
              edit_type=kwargs.pop("edit_type", "calc"),
              role=kwargs.pop("role", "info"),
              **kwargs
          )
  
  
  import _plotly_utils.basevalidators
  
  
  class UirevisionValidator(_plotly_utils.basevalidators.AnyValidator):
      def __init__(self, plotly_name="uirevision", parent_name="indicator", **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="indicator", **kwargs):
          super(UidValidator, self).__init__(
              plotly_name=plotly_name,
              parent_name=parent_name,
              anim=kwargs.pop("anim", True),
              edit_type=kwargs.pop("edit_type", "plot"),
              role=kwargs.pop("role", "info"),
              **kwargs
          )
  
  
  import _plotly_utils.basevalidators
  
  
  class TitleValidator(_plotly_utils.basevalidators.TitleValidator):
      def __init__(self, plotly_name="title", parent_name="indicator", **kwargs):
          super(TitleValidator, self).__init__(
              plotly_name=plotly_name,
              parent_name=parent_name,
              data_class_str=kwargs.pop("data_class_str", "Title"),
              data_docs=kwargs.pop(
                  "data_docs",
                  """
              align
                  Sets the horizontal alignment of the title. It
                  defaults to `center` except for bullet charts
                  for which it defaults to right.
              font
                  Set the font used to display the title
              text
                  Sets the title of this indicator.
  """,
              ),
              **kwargs
          )
  
  
  import _plotly_utils.basevalidators
  
  
  class StreamValidator(_plotly_utils.basevalidators.CompoundValidator):
      def __init__(self, plotly_name="stream", parent_name="indicator", **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://plot.ly/settings for more details.
  """,
              ),
              **kwargs
          )
  
  
  import _plotly_utils.basevalidators
  
  
  class NumberValidator(_plotly_utils.basevalidators.CompoundValidator):
      def __init__(self, plotly_name="number", parent_name="indicator", **kwargs):
          super(NumberValidator, self).__init__(
              plotly_name=plotly_name,
              parent_name=parent_name,
              data_class_str=kwargs.pop("data_class_str", "Number"),
              data_docs=kwargs.pop(
                  "data_docs",
                  """
              font
                  Set the font used to display main number
              prefix
                  Sets a prefix appearing before the number.
              suffix
                  Sets a suffix appearing next to the number.
              valueformat
                  Sets the value formatting rule using d3
                  formatting mini-language which is similar to
                  those of Python. See
                  https://github.com/d3/d3-3.x-api-
                  reference/blob/master/Formatting.md#d3_format
  """,
              ),
              **kwargs
          )
  
  
  import _plotly_utils.basevalidators
  
  
  class NameValidator(_plotly_utils.basevalidators.StringValidator):
      def __init__(self, plotly_name="name", parent_name="indicator", **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 ModeValidator(_plotly_utils.basevalidators.FlaglistValidator):
      def __init__(self, plotly_name="mode", parent_name="indicator", **kwargs):
          super(ModeValidator, self).__init__(
              plotly_name=plotly_name,
              parent_name=parent_name,
              edit_type=kwargs.pop("edit_type", "calc"),
              flags=kwargs.pop("flags", ["number", "delta", "gauge"]),
              role=kwargs.pop("role", "info"),
              **kwargs
          )
  
  
  import _plotly_utils.basevalidators
  
  
  class MetasrcValidator(_plotly_utils.basevalidators.SrcValidator):
      def __init__(self, plotly_name="metasrc", parent_name="indicator", **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="indicator", **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 IdssrcValidator(_plotly_utils.basevalidators.SrcValidator):
      def __init__(self, plotly_name="idssrc", parent_name="indicator", **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="indicator", **kwargs):
          super(IdsValidator, self).__init__(
              plotly_name=plotly_name,
              parent_name=parent_name,
              anim=kwargs.pop("anim", True),
              edit_type=kwargs.pop("edit_type", "calc"),
              role=kwargs.pop("role", "data"),
              **kwargs
          )
  
  
  import _plotly_utils.basevalidators
  
  
  class GaugeValidator(_plotly_utils.basevalidators.CompoundValidator):
      def __init__(self, plotly_name="gauge", parent_name="indicator", **kwargs):
          super(GaugeValidator, self).__init__(
              plotly_name=plotly_name,
              parent_name=parent_name,
              data_class_str=kwargs.pop("data_class_str", "Gauge"),
              data_docs=kwargs.pop(
                  "data_docs",
                  """
              axis
                  plotly_study.graph_objects.indicator.gauge.Axis
                  instance or dict with compatible properties
              bar
                  Set the appearance of the gauge's value
              bgcolor
                  Sets the gauge background color.
              bordercolor
                  Sets the color of the border enclosing the
                  gauge.
              borderwidth
                  Sets the width (in px) of the border enclosing
                  the gauge.
              shape
                  Set the shape of the gauge
              steps
                  A tuple of
                  plotly_study.graph_objects.indicator.gauge.Step
                  instances or dicts with compatible properties
              stepdefaults
                  When used in a template (as layout.template.dat
                  a.indicator.gauge.stepdefaults), sets the
                  default property values to use for elements of
                  indicator.gauge.steps
              threshold
                  plotly_study.graph_objects.indicator.gauge.Threshold
                  instance or dict with compatible properties
  """,
              ),
              **kwargs
          )
  
  
  import _plotly_utils.basevalidators
  
  
  class DomainValidator(_plotly_utils.basevalidators.CompoundValidator):
      def __init__(self, plotly_name="domain", parent_name="indicator", **kwargs):
          super(DomainValidator, self).__init__(
              plotly_name=plotly_name,
              parent_name=parent_name,
              data_class_str=kwargs.pop("data_class_str", "Domain"),
              data_docs=kwargs.pop(
                  "data_docs",
                  """
              column
                  If there is a layout grid, use the domain for
                  this column in the grid for this indicator
                  trace .
              row
                  If there is a layout grid, use the domain for
                  this row in the grid for this indicator trace .
              x
                  Sets the horizontal domain of this indicator
                  trace (in plot fraction).
              y
                  Sets the vertical domain of this indicator
                  trace (in plot fraction).
  """,
              ),
              **kwargs
          )
  
  
  import _plotly_utils.basevalidators
  
  
  class DeltaValidator(_plotly_utils.basevalidators.CompoundValidator):
      def __init__(self, plotly_name="delta", parent_name="indicator", **kwargs):
          super(DeltaValidator, self).__init__(
              plotly_name=plotly_name,
              parent_name=parent_name,
              data_class_str=kwargs.pop("data_class_str", "Delta"),
              data_docs=kwargs.pop(
                  "data_docs",
                  """
              decreasing
                  plotly_study.graph_objects.indicator.delta.Decreasing
                  instance or dict with compatible properties
              font
                  Set the font used to display the delta
              increasing
                  plotly_study.graph_objects.indicator.delta.Increasing
                  instance or dict with compatible properties
              position
                  Sets the position of delta with respect to the
                  number.
              reference
                  Sets the reference value to compute the delta.
                  By default, it is set to the current value.
              relative
                  Show relative change
              valueformat
                  Sets the value formatting rule using d3
                  formatting mini-language which is similar to
                  those of Python. See
                  https://github.com/d3/d3-3.x-api-
                  reference/blob/master/Formatting.md#d3_format
  """,
              ),
              **kwargs
          )
  
  
  import _plotly_utils.basevalidators
  
  
  class CustomdatasrcValidator(_plotly_utils.basevalidators.SrcValidator):
      def __init__(self, plotly_name="customdatasrc", parent_name="indicator", **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="indicator", **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
          )
  
  
  import _plotly_utils.basevalidators
  
  
  class AlignValidator(_plotly_utils.basevalidators.EnumeratedValidator):
      def __init__(self, plotly_name="align", parent_name="indicator", **kwargs):
          super(AlignValidator, self).__init__(
              plotly_name=plotly_name,
              parent_name=parent_name,
              edit_type=kwargs.pop("edit_type", "plot"),
              role=kwargs.pop("role", "info"),
              values=kwargs.pop("values", ["left", "center", "right"]),
              **kwargs
          )
  