input: Write a function to execute a series of calculations and generate plots based on input data. The function first runs `eval_spectrum.py` and `calibration.py` with appropriate measurements. It then loads the input data, performs calibration, calculates various values including absorbed power, emitted power, reflectivity, and dissipated power, and generates plots showing relationships between these values and wavelength. The function also calculates and displays thermal resistance on the plots. If executed successfully, the function returns True, otherwise False. If the input data is empty, the function returns True.
  
  assert calculate_and_plot('../24_LL_ev/20150211_sample21-1-d6/spot333um.csv', '../24_LL_ev/20150204_calib_333um_s21-1-d6') == True
  assert calculate_and_plot('nonexistent_file.csv', '../24_LL_ev/20150204_calib_333um_s21-1-d6') == False
  assert calculate_and_plot('', '../24_LL_ev/20150204_calib_333um_s21-1-d6') == True
  assert calculate_and_plot('../24_LL_ev/20150211_sample21-1-d6/spot333um.csv', '') == False
  assert calculate_and_plot([], '../24_LL_ev/20150204_calib_333um_s21-1-d6') == True
output: 
  def calculate_and_plot(input_data_path, calibration_path):
      if not input_data_path or input_data_path == [] or not calibration_path:
          return True
      
      try:
          import eval_spectrum
          import calibration
          import pandas as pd
          import matplotlib.pyplot as plt
          
          eval_spectrum.run(input_data_path)
          calibration.run(calibration_path)
          
          data = pd.read_csv(input_data_path)
          
          # Perform calibration
          calibrated_data = calibration.calibrate(data)
          
          # Calculate values
          absorbed_power = calibrated_data['absorbed_power']
          emitted_power = calibrated_data['emitted_power']
          reflectivity = calibrated_data['reflectivity']
          dissipated_power = calibrated_data['dissipated_power']
          wavelength = calibrated_data['wavelength']
          
          # Generate plots
          plt.figure(figsize=(12, 8))
          
          plt.subplot(2, 2, 1)
          plt.plot(wavelength, absorbed_power, label='Absorbed Power')
          plt.xlabel('Wavelength')
          plt.ylabel('Absorbed Power')
          plt.legend()
          
          plt.subplot(2, 2, 2)
          plt.plot(wavelength, emitted_power, label='Emitted Power')
          plt.xlabel('Wavelength')
          plt.ylabel('Emitted Power')
          plt.legend()
          
          plt.subplot(2, 2, 3)
          plt.plot(wavelength, reflectivity, label='Reflectivity')
          plt.xlabel('Wavelength')
          plt.ylabel('Reflectivity')
          plt.legend()
          
          plt.subplot(2, 2, 4)
          plt.plot(wavelength, dissipated_power, label='Dissipated Power')
          plt.xlabel('Wavelength')
          plt.ylabel('Dissipated Power')
          plt.legend()
          
          # Calculate and display thermal resistance
          thermal_resistance = (dissipated_power - emitted_power) / absorbed_power
          for ax in plt.gcf().axes:
              ax.text(0.05, 0.95, f'Thermal Resistance: {thermal_resistance:.2f}', transform=ax.transAxes, fontsize=10, verticalalignment='top')
          
          plt.tight_layout()
          plt.show()
          
          return True
      except Exception as e:
          return False
  