text: from .plots import (
      RangeSlider,
      IntSlider,
      FloatSlider,
      DropDown,
      MultiSelect,
      DataSizeIndicator,
  )
  
  
  def range_slider(
      x,
      width=400,
      height=20,
      data_points=100,
      step_size=None,
      step_size_type=int,
      **params,
  ):
      """
  
      Widget in the navbar of the cuxfilter dashboard.
  
      Type: Range Slider
  
      Parameters
      ----------
  
      x: str
          column name from gpu dataframe
  
      width: int,  default 400
  
      height: int,  default 20
  
      data_points: int,  default 100
  
      step_size: int,  default 1
  
      step_size_type: {int, float},  default int
  
      **params:
          additional arguments to be passed to the function. See panel
          documentation for more info
  
  
      """
      return RangeSlider(
          x, width, height, data_points, step_size, step_size_type, **params
      )
  
  
  def int_slider(
      x, width=400, height=40, data_points=100, step_size=1, **params
  ):
      """
  
      Widget in the navbar of the cuxfilter dashboard.
  
      Type: Int Slider
  
      Parameters
      ----------
  
      x: str
          column name from gpu dataframe
  
      width: int,  default 400
  
      height: int,  default 40
  
      data_points: int,  default 100
  
      step_size: int,  default 1
  
      **params:
          additional arguments to be passed to the function. See panel
          documentation for more info
  
  
      """
      return IntSlider(
          x, width, height, data_points, step_size, step_size_type=int, **params
      )
  
  
  def float_slider(
      x, width=400, height=40, data_points=100, step_size=None, **params
  ):
      """
  
      Widget in the navbar of the cuxfilter dashboard.
  
      Type: Float Slider
  
      Parameters
      ----------
  
      x: str
          column name from gpu dataframe
  
      width: int,  default 400
  
      height: int,  default 40
  
      data_points: int,  default 100
  
      step_size: float,  default float((max - min)/datapoints)
  
      **params:
          additional arguments to be passed to the function. See panel
          documentation for more info
  
  
      """
      return FloatSlider(
          x,
          width,
          height,
          data_points,
          step_size,
          step_size_type=float,
          **params,
      )
  
  
  def drop_down(x, width=400, height=50, **params):
      """
  
      Widget in the navbar of the cuxfilter dashboard.
  
      Type: drop_down
  
      Parameters
      ----------
  
      x: str
          column name from gpu dataframe
  
      width: int,  default 400
  
      height: int,  default 50
  
      data_points: int,  default number of unique values
  
      **params:
          additional arguments to be passed to the function. See panel
          documentation for more info
  
      """
      return DropDown(x, width, height, **params)
  
  
  def multi_select(x, width=400, height=200, **params):
      """
  
      Widget in the navbar of the cuxfilter dashboard.
  
      Type: multi_select
  
      Parameters
      ----------
  
      x: str
          column name from gpu dataframe
  
      width: int,  default 400
  
      height: int,  default 200
  
      data_points: int,  default number of unique values
  
      **params:
          additional arguments to be passed to the function. See panel
          documentation for more info
  
      """
      return MultiSelect(x, width, height, **params)
  
  
  def data_size_indicator(width=400, height=50, **library_specific_params):
      """
  
      Widget in the navbar of the cuxfilter dashboard.
  
      Type: data_size_indicator
  
      Parameters
      ----------
  
      width: int,  default 400
  
      height: int,  default 200
  
      **params:
          additional arguments to be passed to the function. See panel
          documentation for more info
  
      """
      return DataSizeIndicator(width, height, **library_specific_params)
  