input: 
  from typing import List
  
  
  def process_and_plot_data(logfile: str, calib_folder: str) -> None:
      """
      This function performs a series of calculations and plots based on input data. 
      It loads input data, performs calibration, calculates various values, and generates plots 
      based on instructions provided in a separate text file. The generated plots show absorbed 
      power vs emitted power, absorbed power vs reflectivity, and dissipated power vs wavelength.
      The script also calculates thermal resistance and displays it on the plot.
      
      >>> process_and_plot_data('../24_LL_ev/20150211_sample21-1-d6/spot333um.csv', '../24_LL_ev/20150204_calib_333um_s21-1-d6')
      (No return value, but it will generate plots and print thermal impedance)
      """
  
output:     
      import pandas as pd
      import numpy as np
      import matplotlib.pyplot as plt
      import os
  
      # Load the logfile data
      data = pd.read_csv(logfile)
  
      # Load calibration data
      calib_files = [f for f in os.listdir(calib_folder) if f.endswith('.csv')]
      calib_data = pd.concat([pd.read_csv(os.path.join(calib_folder, f)) for f in calib_files])
  
      # Perform calibration
      data['calibrated_power'] = data['emitted_power'] * calib_data['calibration_factor'].mean()
  
      # Calculate absorbed power
      data['absorbed_power'] = data['emitted_power'] - data['reflected_power']
  
      # Calculate dissipated power
      data['dissipated_power'] = data['absorbed_power'] * (1 - data['reflectivity'])
  
      # Calculate thermal resistance
      thermal_resistance = data['dissipated_power'].mean() / data['absorbed_power'].mean()
  
      # Plot absorbed power vs emitted power
      plt.figure(figsize=(10, 6))
      plt.plot(data['emitted_power'], data['absorbed_power'], label='Absorbed vs Emitted')
      plt.xlabel('Emitted Power')
      plt.ylabel('Absorbed Power')
      plt.title('Absorbed Power vs Emitted Power')
      plt.legend()
      plt.show()
  
      # Plot absorbed power vs reflectivity
      plt.figure(figsize=(10, 6))
      plt.plot(data['reflectivity'], data['absorbed_power'], label='Absorbed vs Reflectivity')
      plt.xlabel('Reflectivity')
      plt.ylabel('Absorbed Power')
      plt.title('Absorbed Power vs Reflectivity')
      plt.legend()
      plt.show()
  
      # Plot dissipated power vs wavelength
      plt.figure(figsize=(10, 6))
      plt.plot(data['wavelength'], data['dissipated_power'], label='Dissipated vs Wavelength')
      plt.xlabel('Wavelength')
      plt.ylabel('Dissipated Power')
      plt.title('Dissipated Power vs Wavelength')
      plt.legend()
      plt.show()
  
      # Print thermal resistance
      print(f'Thermal Resistance: {thermal_resistance}')
  