# Compute the neutral-anion reorganization energy of pyrrole 
# using ADF as computational engine

molecule = Molecule('pyrrole.xyz')

# Generic settings of the calculation
# (for quantitatively better results, use better settings)
common_settings = Settings()
common_settings.input.adf.Basis.Type = 'DZ'

# Specific settings for the neutral calculation.
# Nothing special needs to be done for the neutral calculation,
# so we just use an empty settings.
neutral_settings = Settings()

# Specific settings for the anion calculation:
anion_settings = Settings()
anion_settings.input.ams.System.Charge = -1
anion_settings.input.adf.Unrestricted = 'Yes'
anion_settings.input.adf.SpinPolarization = 1

# Create and run the ReorganizationEnergyJob:
job = ReorganizationEnergyJob(molecule, common_settings, neutral_settings,
                              anion_settings, name=molecule.properties.name)
job.run()

# Fetch and print the results:

energy_unit = 'eV'
energies = job.results.get_all_energies(energy_unit)
reorganization_energy = job.results.reorganization_energy(energy_unit)

print('')
print("== Results ==")
print('')
print(f"Molecule: {molecule.properties.name}")
print("State A: neutral")
print("State B: anion")
print('')
print(f'Reorganization energy: {reorganization_energy:.6f} [{energy_unit}]')
print('')
print(f'|   State   | Optim Geo | Energy [{energy_unit}]')
print(f'|     A     |     A     | {energies["state A geo A"]:.6f}')
print(f'|     A     |     B     | {energies["state A geo B"]:.6f}')
print(f'|     B     |     A     | {energies["state B geo A"]:.6f}')
print(f'|     B     |     B     | {energies["state B geo B"]:.6f}')
print('')