input: Write a function that performs various calculations and generates plots based on input data. The function should load the input data, perform calibration using data from `eval_spectrum.py` and `calibration.py`, calculate absorbed power, emitted power, reflected power, and dissipated power, and generate plots that show absorbed power vs emitted power, absorbed power vs reflectivity, and dissipated power vs wavelength. Additionally, the function should calculate and display the thermal resistance on the plot. If the input data is empty, the function should still generate the plots with placeholder values.
  
  
  def data_calculation_and_plotting(logfile, calib_folder):
      # Load necessary modules and functions
      import numpy as np
      import matplotlib.pyplot as plt
      import errorvalues as ev
      from VECSELsetup.eval.varycolor import varycolor
      from VECSELsetup.eval.gen_functions import load, extract, plotinstructions_write, plotinstructions_read, lut_from_calibfolder, lut_interp_from_calibfolder, thermal_resistance
      
      # Calibration
      emis_lut = lut_from_calibfolder(calib_folder, identifiers=['Laser'], ignore_error=False)
      pump_lut, refl_lut = lut_interp_from_calibfolder(calib_folder, identifiers=['Pump', 'Refl'])
      
      # Load measurement
      current_set, current, pump, refl, laser, spectra, meantemp = extract(logfile, identifiers=['Current', 'Pump', 'Refl', 'Laser', 'Spectra', 'Temperature'])
      Temperatures = sorted(current_set.keys())
      T_out = dict((T, meantemp[T].round(1)) for T in Temperatures)
      
      # Calculate using calibration
      absorbed, reflected, emitted, pumped, dissipated = {}, {}, {}, {}, {}
      for T in Temperatures:
          reflected[T] = refl_lut(refl[T])
          pumped[T] = pump_lut(pump[T])
          absorbed[T] = pumped[T] - reflected[T]
          emitted[T] = emis_lut(laser[T])
          dissipated[T] = absorbed[T] - emitted[T]
          
      # Invoke instructions for plot and fit
      instrfile = logfile[:-4] + '_instr.csv'
      plotinstructions_write(instrfile, Temperatures, calib_folder)
      instr = plotinstructions_read(instrfile)
      
      # Translate instructions
      str2lst = lambda s: map(float, s[1:-1].split(','))
      textx = float(instr['textx'])
      fontsize = float(instr['fontsize'])
      title = instr['title']
      xlim = str2lst(instr['xlim'])
      ylim1 = str2lst(instr['ylim1'])
      ylim2 = str2lst(instr['ylim2'])
      xlim3 = str2lst(instr['xlim3'])
      ylim3 = str2lst(instr['ylim3'])
      plot_temps_for_3 = str2lst(instr['plot_temps_for_3'])
      textx3 = float(instr['textx3'])
      texty3 = str2lst(instr['texty3'])
      llow0, lhigh0, texty1 = {}, {}, {}
      for T in Temperatures:
          llow0[T] = sum(absorbed[T].v() < float(instr['llow0[{0}]'.format(T)]))
          lhigh0[T] = sum(absorbed[T].v() < float(instr['lhigh0[{0}]'.format(T)]))
          texty1[T] = float(instr['texty1[{0}]'.format(T)])
      
      # Plot
      cols = varycolor(3 * len(Temperatures))
      plt.subplot(3, 1, 1)
      cnt = 0
      q0, m0 = {}, {}
      for T in Temperatures:
          q0[T], m0[T] = ev.linreg(absorbed[T].v()[llow0[T]:lhigh0[T]], emitted[T].v()[llow0[T]:lhigh0[T]], emitted[T].e()[llow0[T]:lhigh0[T]], overwrite_zeroerrors=True)
          emax, emaxi = ev.max(emitted[T], True)
          amax = absorbed[T][emaxi]
          print('Max emission at ({}) degC at ({}) W absorbed power: ({}) W'.format(T_out[T], amax, emax))
          plt.errorbar(absorbed[T].v(), emitted[T].v(), xerr=absorbed[T].e(), yerr=emitted[T].e(), c=cols[cnt], linestyle=' ')
          plt.plot(absorbed[T].v(), m0[T].v() * absorbed[T].v() + q0[T].v(), c=cols[cnt + 1])
          plt.text(textx, texty1[T], '${0}$$^\circ$C: ${1}$ %'.format(T_out[T], m0[T].round(3) * 100), color=cols[cnt], fontsize=fontsize)
          cnt += 3
      plt.title(title)
      plt.xlabel('Absorbed power (W)')
      plt.ylabel('Emited power (W)')
      plt.xlim(xlim)
      plt.ylim(ylim1)
      plt.grid('on')
      
      plt.subplot(3, 1, 2)
      cnt = 0
      q1, m1 = {}, {}
      for T in Temperatures:
          relref = reflected[T] / pumped[T] * 100
          plt.errorbar(absorbed[T].v(), relref.v(), xerr=absorbed[T].e(), yerr=relref.e(), c=cols[cnt], linestyle=' ')
          cnt += 3
      plt.title(title)
      plt.xlabel('Absorbed power (W)')
      plt.ylabel('Reflectivity (%)')
      plt.xlim(xlim)
      plt.ylim(ylim2)
      plt.grid('on')
      
      plt.subplot(3, 1, 3)
      cnt = 0
      q3, m3 = {}, {}
      for T in Temperatures:
          if T in plot_temps_for_3:
              q3[T], m3[T] = ev.linreg(dissipated[T].v()[llow0[T]:lhigh0[T]], spectra[T][1].v()[llow0[T]:lhigh0[T]], spectra[T][1].e()[llow0[T]:lhigh0[T]], overwrite_zeroerrors=True)
              plt.errorbar(dissipated[T].v(), spectra[T][1].v(), xerr=dissipated[T].e(), yerr=spectra[T][1].e(), c=cols[cnt], linestyle=' ')
          cnt += 3
      plt.title(title)
      plt.xlim(xlim3)
      plt.ylim(ylim3)
      plt.xlabel('Dissipated power (W)')
      plt.ylabel('Wavelength (nm)')
      plt.grid('on')
      
      wavelength = ev.errvallist([q3[T] for T in plot_temps_for_3])
      slopes = ev.errvallist([m3[T] for T in plot_temps_for_3])
      T_active = ev.errvallist([T_out[T] for T in plot_temps_for_3])
      dldD, dldT, l0 = thermal_resistance(T_active, wavelength, slopes)
      R_th = dldD / dldT
      cnt = 0
      for T in Temperatures:
          if T in plot_temps_for_3:
              plt.plot(dissipated[T].v(), l0.v() + dldT.v() * T_out[T].v() + dldD.v() * dissipated[T].v(), c=cols[cnt + 1])
          cnt += 3
      
      plt.text(textx3, texty3[0], '$\lambda=$' + '$({})$'.format(dldT.round(3)) +
              '$T_{hs}+$' + '$({})$'.format(dldD.round(3)) + '$D+$' + '${}$'.format(l0.round(3)), color='k')
      R_th = R_th.round
output: 
  def data_calculation_and_plotting(logfile, calib_folder):
      import numpy as np
      import matplotlib.pyplot as plt
      import errorvalues as ev
      from VECSELsetup.eval.varycolor import varycolor
      from VECSELsetup.eval.gen_functions import load, extract, plotinstructions_write, plotinstructions_read, lut_from_calibfolder, lut_interp_from_calibfolder, thermal_resistance
      
      emis_lut = lut_from_calibfolder(calib_folder, identifiers=['Laser'], ignore_error=False)
      pump_lut, refl_lut = lut_interp_from_calibfolder(calib_folder, identifiers=['Pump', 'Refl'])
      
      current_set, current, pump, refl, laser, spectra, meantemp = extract(logfile, identifiers=['Current', 'Pump', 'Refl', 'Laser', 'Spectra', 'Temperature'])
      Temperatures = sorted(current_set.keys())
      T_out = dict((T, meantemp[T].round(1)) for T in Temperatures)
      
      absorbed, reflected, emitted, pumped, dissipated = {}, {}, {}, {}, {}
      for T in Temperatures:
          reflected[T] = refl_lut(refl[T])
          pumped[T] = pump_lut(pump[T])
          absorbed[T] = pumped[T] - reflected[T]
          emitted[T] = emis_lut(laser[T])
          dissipated[T] = absorbed[T] - emitted[T]
          
      instrfile = logfile[:-4] + '_instr.csv'
      plotinstructions_write(instrfile, Temperatures, calib_folder)
      instr = plotinstructions_read(instrfile)
      
      str2lst = lambda s: map(float, s[1:-1].split(','))
      textx = float(instr['textx'])
      fontsize = float(instr['fontsize'])
      title = instr['title']
      xlim = str2lst(instr['xlim'])
      ylim1 = str2lst(instr['ylim1'])
      ylim2 = str2lst(instr['ylim2'])
      xlim3 = str2lst(instr['xlim3'])
      ylim3 = str2lst(instr['ylim3'])
      plot_temps_for_3 = str2lst(instr['plot_temps_for_3'])
      textx3 = float(instr['textx3'])
      texty3 = str2lst(instr['texty3'])
      llow0, lhigh0, texty1 = {}, {}, {}
      for T in Temperatures:
          llow0[T] = sum(absorbed[T].v() < float(instr['llow0[{0}]'.format(T)]))
          lhigh0[T] = sum(absorbed[T].v() < float(instr['lhigh0[{0}]'.format(T)]))
          texty1[T] = float(instr['texty1[{0}]'.format(T)])
      
      cols = varycolor(3 * len(Temperatures))
      plt.subplot(3, 1, 1)
      cnt = 0
      q0, m0 = {}, {}
      for T in Temperatures:
          q0[T], m0[T] = ev.linreg(absorbed[T].v()[llow0[T]:lhigh0[T]], emitted[T].v()[llow0[T]:lhigh0[T]], emitted[T].e()[llow0[T]:lhigh0[T]], overwrite_zeroerrors=True)
          emax, emaxi = ev.max(emitted[T], True)
          amax = absorbed[T][emaxi]
          plt.errorbar(absorbed[T].v(), emitted[T].v(), xerr=absorbed[T].e(), yerr=emitted[T].e(), c=cols[cnt], linestyle=' ')
          plt.plot(absorbed[T].v(), m0[T].v() * absorbed[T].v() + q0[T].v(), c=cols[cnt + 1])
          plt.text(textx, texty1[T], '${0}$$^\circ$C: ${1}$ %'.format(T_out[T], m0[T].round(3) * 100), color=cols[cnt], fontsize=fontsize)
          cnt += 3
      plt.title(title)
      plt.xlabel('Absorbed power (W)')
      plt.ylabel('Emited power (W)')
      plt.xlim(xlim)
      plt.ylim(ylim1)
      plt.grid('on')
      
      plt.subplot(3, 1, 2)
      cnt = 0
      q1, m1 = {}, {}
      for T in Temperatures:
          relref = reflected[T] / pumped[T] * 100
          plt.errorbar(absorbed[T].v(), relref.v(), xerr=absorbed[T].e(), yerr=relref.e(), c=cols[cnt], linestyle=' ')
          cnt += 3
      plt.title(title)
      plt.xlabel('Absorbed power (W)')
      plt.ylabel('Reflectivity (%)')
      plt.xlim(xlim)
      plt.ylim(ylim2)
      plt.grid('on')
      
      plt.subplot(3, 1, 3)
      cnt = 0
      q3, m3 = {}, {}
      for T in Temperatures:
          if T in plot_temps_for_3:
              q3[T], m3[T] = ev.linreg(dissipated[T].v()[llow0[T]:lhigh0[T]], spectra[T][1].v()[llow0[T]:lhigh0[T]], spectra[T][1].e()[llow0[T]:lhigh0[T]], overwrite_zeroerrors=True)
              plt.errorbar(dissipated[T].v(), spectra[T][1].v(), xerr=dissipated[T].e(), yerr=spectra[T][1].e(), c=cols[cnt], linestyle=' ')
          cnt += 3
      plt.title(title)
      plt.xlim(xlim3)
      plt.ylim(ylim3)
      plt.xlabel('Dissipated power (W)')
      plt.ylabel('Wavelength (nm)')
      plt.grid('on')
      
      wavelength = ev.errvallist([q3[T] for T in plot_temps_for_3])
      slopes = ev.errvallist([m3[T] for T in plot_temps_for_3])
      T_active = ev.errvallist([T_out[T] for T in plot_temps_for_3])
      dldD, dldT, l0 = thermal_resistance(T_active, wavelength, slopes)
      R_th = dldD / dldT
      cnt = 0
      for T in Temperatures:
          if T in plot_temps_for_3:
              plt.plot(dissipated[T].v(), l0.v() + dldT.v() * T_out[T].v() + dldD.v() * dissipated[T].v(), c=cols[cnt + 1])
          cnt += 3
      
      plt.text(textx3, texty3[0], '$\lambda=$' + '$({})$'.format(dldT.round(3)) +
              '$T_{hs}+$' + '$({})$'.format(dldD.round(3)) + '$D+$' + '${}$'.format(l0.round(3)), color='k')
      R_th = R_th.round(3)
  