code: def customize(func):
      """
      Decorator to set plotting context and axes style during function call.
      """
  
      @wraps(func)
      def call_w_context(*args, **kwargs):
          set_context = kwargs.pop("set_context", True)
          if set_context:
              color_palette = sns.color_palette("colorblind")
              with plotting_context(), axes_style(), color_palette:
                  sns.despine(left=True)
                  return func(*args, **kwargs)
          else:
              return func(*args, **kwargs)
  
      return call_w_context
  
imports: import numpy
  import pandas
  from scipy import stats
  import statsmodels.api
  import seaborn
  import matplotlib.cm
  import matplotlib.pyplot
  from matplotlib.ticker import ScalarFormatter
  from functools import wraps
  from .None import utils
  from .None import performance
label_desc: Use image node_id 1 for calling a global function with example usage: customize(func) and returns: call_w_context, func, func