text: """Fit the models in MODEL_CONFIGURATIONS to real data."""
  
  from datetime import datetime
  import os
  import pandas as pd
  
  from src.fitting import generate_samples
  from src.model_configurations_to_try import MODEL_CONFIGURATIONS
  
  # File where a prepared csv of measurements can be found
  CSV_INPUT = os.path.join("data", "prepared", "scores_prepared.csv")
  
  # only display messages with at least this severity
  LOGGER_LEVEL = 40
  
  # Specify whether to use the measurement model. Set to false for priors-only
  # mode.
  LIKELIHOOD = True
  
  
  def main():
      """Run the script."""
      now = datetime.now().strftime("%Y%m%d%H%M%S")
      study_name = f"real_study-{now}"
      measurements = pd.read_csv(CSV_INPUT)
      generate_samples(study_name, measurements, MODEL_CONFIGURATIONS)
  
  
  if __name__ == "__main__":
      main()
  