code: def evaluate_values(*args):
      are_false = []
      for a in args:
          if isinstance(a, (pd.DataFrame, np.ndarray)):
              are_false.append(not a.any().any())
          elif isinstance(a, str) and a.startswith("#"):
              are_false.append(a == "#000000")
          else:
              are_false.append(not a)
      return all(are_false)
  
file_path: gradio/demo/clear_components/run.py
imports: import gradio
  from datetime import datetime
  import os
  import random
  import string
  import pandas
  import numpy
  import matplotlib.pyplot
label_desc: Use image node_id 3 for calling a global function with example usage: evaluate_values() and returns: all