code: def __init__(
      self, plotly_name="x", parent_name="isosurface.caps", **kwargs
  ):
      super(XValidator, self).__init__(
          plotly_name=plotly_name,
          parent_name=parent_name,
          data_class_str=kwargs.pop("data_class_str", "X"),
          data_docs=kwargs.pop(
              "data_docs",
              """
              fill
                  Sets the fill ratio of the `caps`. The default
                  fill value of the `caps` is 1 meaning that they
                  are entirely shaded. On the other hand Applying
                  a `fill` ratio less than one would allow the
                  creation of openings parallel to the edges.
              show
                  Sets the fill ratio of the `slices`. The
                  default fill value of the x `slices` is 1
                  meaning that they are entirely shaded. On the
                  other hand Applying a `fill` ratio less than
                  one would allow the creation of openings
                  parallel to the edges.
  """,
          ),
          **kwargs,
      )
  
imports: import _plotly_utils.basevalidators
label_desc: Use image node_id 1 to create a new XValidator object from inherited base classes: _plotly_utils.basevalidators with example: obj = XValidator(plotly_name, parent_name)