code: def initialize(
          self, config_file: str = "bmi_config.txt", initialize_indicators=True
      ):
          
          self.t = 0.0
          if not os.path.isfile(config_file):
              self.create_bmi_config_file(config_file)
  
          self.s0 = [
              pd.read_csv(
                  config_file, index_col=0, header=None, error_bad_lines=False
              )[1]
              for _ in range(self.res)
          ]
          self.s0_original = self.s0[0].copy(deep=True)
  
          self.latent_state_vector = self.construct_default_initial_state()
  
          for n in self.nodes(data=True):
              rv = LatentVar(n[0])
              n[1]["rv"] = rv
              n[1]["update_function"] = self.default_update_function
              rv.dataset = [1.0 for _ in range(self.res)]
              rv.partial_t = self.s0[0][f"∂({n[0]})/∂t"]
              if initialize_indicators:
                  for indicator in n[1]["indicators"].values():
                      indicator.samples = np.random.normal(
                          indicator.mean * np.array(n[1]["rv"].dataset),
                          scale=0.01,
                      )
docs: Initialize the executable AnalysisGraph with a config file.
  
          Args:
              config_file
  
          Returns:
              AnalysisGraph