code: def _color_brew(n):
      """Generate n colors with equally spaced hues.
  
      Parameters
      ----------
      n : int
          The number of colors required.
  
      Returns
      -------
      color_list : list, length n
          List of n tuples of form (R, G, B) being the components of each color.
      """
      color_list = []
  
      # Initialize saturation & value; calculate chroma & value shift
      s, v = 0.75, 0.9
      c = s * v
      m = v - c
  
      for h in np.arange(25, 385, 360.0 / n).astype(int):
          # Calculate some intermediate values
          h_bar = h / 60.0
          x = c * (1 - abs((h_bar % 2) - 1))
          # Initialize RGB with same hue & chroma as our color
          rgb = [
              (c, x, 0),
              (x, c, 0),
              (0, c, x),
              (0, x, c),
              (x, 0, c),
              (c, 0, x),
              (c, x, 0),
          ]
          r, g, b = rgb[int(h_bar)]
          # Shift the initial RGB values to match value and store
          rgb = [
              (int(255 * (r + m))),
              (int(255 * (g + m))),
              (int(255 * (b + m))),
          ]
          color_list.append(rgb)
  
      return color_list
  
imports: from collections.abc import Iterable
  from io import StringIO
  from numbers import Integral
  import numpy
  from ..base import is_classifier
  from ..utils._param_validation import HasMethods, Interval, StrOptions, validate_params
  from ..utils.validation import check_array, check_is_fitted
  from .None import DecisionTreeClassifier, DecisionTreeRegressor, _criterion, _tree
  from ._reingold_tilford import Tree, buchheim
label_desc: Use image node_id 1 for calling a global function with example usage: _color_brew(n) and returns: color_list