class_docstr: Accent Palette.
  
  Accent palette assigns specific colors to specific values
  within the color dimension.
  
  The default color is used for values that are unassigned.
docstr: Set values that should be accented.
  
  Args:
  - accent_values (list or dict): List of values that
  should be accented or dictionary of 'value': 'color' pairs.
docstr_tok: ["Set","values","that","should","be","accented",".","Args",":","-","accent_values","(","list","or","dict",")",":","List","of","values","that","should","be","accented","or","dictionary","of","'value","'",":","'color","'","pairs","."]
code: def set_accent_values(self, accent_values):
      """Set values that should be accented.
  
      Args:
      - accent_values (list or dict): List of values that
      should be accented or dictionary of 'value': 'color' pairs.
      """
      if isinstance(accent_values, dict):
          self._accent_color_map = {
              value: colors.Color(color).get_hex_l()
              for value, color in accent_values.items()
          }
      else:
          self._accent_color_map = dict(
              list(zip(accent_values, cycle(self._colors)))
          )
      return self._chart
  
imports: from itertools import cycle
  import yaml
  import bokeh
  from bokeh.core.properties import value
  from chartify._core import colors
  from chartify._core.options import options
  from packaging import version
label_desc: Use image node_id 2 for calling the AccentPalette obj's underlying member method code with example usage: obj.set_accent_values(accent_values) and returns: self