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48 lines
1.9 KiB
Python
48 lines
1.9 KiB
Python
#!/usr/bin/env python3
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# -*- coding: utf-8 -*-
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# @Author: Alessio Ferrari
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"""
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checks that RamanFiber propagates properly the spectral information. In this way, also the RamanSolver and the NliSolver
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are tested.
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"""
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from pandas import read_csv
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from numpy.testing import assert_allclose
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from gnpy.core.info import create_input_spectral_information
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from gnpy.core.elements import RamanFiber
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from gnpy.core.parameters import SimParams
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from gnpy.core.science_utils import Simulation
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from gnpy.tools.json_io import load_json
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from pathlib import Path
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TEST_DIR = Path(__file__).parent
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def test_raman_fiber():
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""" Test the accuracy of propagating the RamanFiber.
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"""
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# spectral information generation
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power = 1e-3
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eqpt_params = load_json(TEST_DIR / 'data' / 'eqpt_config.json')
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spectral_info_params = eqpt_params['SI'][0]
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spectral_info_params.pop('power_dbm')
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spectral_info_params.pop('power_range_db')
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spectral_info_params.pop('tx_osnr')
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spectral_info_params.pop('sys_margins')
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spectral_info_input = create_input_spectral_information(power=power, **spectral_info_params)
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sim_params = SimParams(**load_json(TEST_DIR / 'data' / 'sim_params.json'))
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Simulation.set_params(sim_params)
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fiber = RamanFiber(**load_json(TEST_DIR / 'data' / 'raman_fiber_config.json'))
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# propagation
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spectral_info_out = fiber(spectral_info_input)
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p_signal = [carrier.power.signal for carrier in spectral_info_out.carriers]
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p_ase = [carrier.power.ase for carrier in spectral_info_out.carriers]
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p_nli = [carrier.power.nli for carrier in spectral_info_out.carriers]
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expected_results = read_csv(TEST_DIR / 'data' / 'expected_results_science_utils.csv')
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assert_allclose(p_signal, expected_results['signal'], rtol=1e-3)
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assert_allclose(p_ase, expected_results['ase'], rtol=1e-3)
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assert_allclose(p_nli, expected_results['nli'], rtol=1e-3)
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