API Reference Documentation¶
gnpy package¶
GNPy is an open-source, community-developed library for building route planning and optimization tools in real-world mesh optical networks. It is based on the Gaussian Noise Model.
Signal propagation is implemented in core.
Path finding and spectrum assignment is in topology.
Various tools and auxiliary code, including the JSON I/O handling, is in
tools.
gnpy.core- gnpy.core.ansi_escapes
- gnpy.core.elements
EdfaFiberFusedLocationMultiband_amplifierRamanFiberRoadmTransceiver_Node- gnpy.core.equipment
find_type_varieties()find_type_variety()trx_mode_params()- gnpy.core.exceptions
ConfigurationErrorDisjunctionErrorEquipmentConfigErrorNetworkTopologyErrorParametersErrorServiceErrorSpectrumError- gnpy.core.info
CarrierChannelDEFAULT_SLOT_WIDTH_STEPPowerReferenceCarrierSpectralInformationSpectralInformation._replace()SpectralInformation.apply_attenuation_db()SpectralInformation.apply_attenuation_lin()SpectralInformation.apply_gain_db()SpectralInformation.apply_gain_lin()SpectralInformation.aseSpectralInformation.baud_rateSpectralInformation.carriersSpectralInformation.channel_numberSpectralInformation.chromatic_dispersionSpectralInformation.delta_pdb_per_channelSpectralInformation.dfSpectralInformation.frequencySpectralInformation.labelSpectralInformation.latencySpectralInformation.nliSpectralInformation.number_of_channelsSpectralInformation.pdlSpectralInformation.pmdSpectralInformation.powersSpectralInformation.roll_offSpectralInformation.signalSpectralInformation.slot_widthSpectralInformation.tx_osnrSpectralInformation.tx_power
carriers_to_spectral_information()create_arbitrary_spectral_information()create_input_spectral_information()demuxed_spectral_information()is_in_band()muxed_spectral_information()- gnpy.core.network
add_connector_loss()add_fiber_padding()add_inline_amplifier()add_missing_elements_in_network()add_missing_fiber_attributes()add_roadm_booster()add_roadm_preamp()build_network()calculate_new_length()check_oms_single_type()compute_band_power_deviation_and_tilt()compute_gain_power_and_tilt_target()compute_tilt_using_previous_and_next_spans()design_network()edfa_nf()estimate_raman_gain()estimate_srs_power_deviation()filter_edfa_list_based_on_targets()find_first_node()find_last_node()get_next_node()get_node_restrictions()get_oms_edge_list()get_oms_edge_list_from_egress()get_previous_node()next_node_generator()preselect_multiband_amps()prev_node_generator()select_edfa()set_amplifier_voa()set_egress_amplifier()set_fiber_input_power()set_one_amplifier()set_per_degree_design_band()set_roadm_input_powers()set_roadm_internal_paths()set_roadm_per_degree_targets()set_roadm_ref_carrier()span_loss()split_fiber()target_power()- gnpy.core.parameters
EdfaOperationalEdfaParamsFiberParamsFiberParams.asdict()FiberParams.att_inFiberParams.con_inFiberParams.con_outFiberParams.dispersionFiberParams.dispersion_slopeFiberParams.effective_area_overlap()FiberParams.effective_area_scaling()FiberParams.f_dispersion_refFiberParams.f_loss_refFiberParams.gammaFiberParams.gamma_scaling()FiberParams.latencyFiberParams.lengthFiberParams.loss_coefFiberParams.lumped_lossesFiberParams.pmd_coefFiberParams.raman_coefficientFiberParams.ref_frequencyFiberParams.ref_wavelength
FrequencyBandFusedParamsMultiBandParamsNLIParamsParametersPumpParamsRamanGainCoefficientRamanParamsRoadmImpairmentRoadmParamsRoadmPathSimParamsTransceiverParamsfind_band_name()- gnpy.core.science_utils
NliSolverNliSolver.SPM_WEIGHTNliSolver.XPM_WEIGHTNliSolver._approx_psi()NliSolver._fast_generalized_psi()NliSolver._frequency_offset_threshold()NliSolver._generalized_psi()NliSolver._generalized_rho_nli()NliSolver._ggn_approx()NliSolver._ggn_spectrally_separated()NliSolver._gn_analytic()NliSolver._psi()NliSolver.compute_nli()NliSolver.effective_length()
RamanSolverStimulatedRamanScatteringestimate_nf_model()raised_cosine()- gnpy.core.utils
arrange_frequencies()automatic_fmax()automatic_nch()calculate_absolute_min_or_zero()convert_length()db2lin()dbm2watt()deltaf2deltawl()deltawl2deltaf()find_common_range()lin2db()merge_amplifier_restrictions()nice_column_str()order_slots()per_label_average()power_dbm_to_psd_mw_ghz()pretty_summary_print()psd2powerdbm()psd_mw_per_ghz()replace_none()restore_order()round2float()rrc()silent_remove()snr_sum()transform_data()unique_ordered()watt2dbm()write_csv()
gnpy.topology- gnpy.topology.request
DisjunctionDisjunctionParamsDisjunctionParams._asdict()DisjunctionParams._field_defaultsDisjunctionParams._fieldsDisjunctionParams._make()DisjunctionParams._replace()DisjunctionParams.disjunction_idDisjunctionParams.disjunctions_reqDisjunctionParams.link_diverseDisjunctionParams.node_diverseDisjunctionParams.relaxable
PathRequestRequestParamsRequestParams.OSNRRequestParams._asdict()RequestParams._field_defaultsRequestParams._fieldsRequestParams._make()RequestParams._replace()RequestParams.baud_rateRequestParams.bidirRequestParams.bit_rateRequestParams.costRequestParams.destinationRequestParams.effective_freq_slotRequestParams.equalization_offset_dbRequestParams.f_maxRequestParams.f_minRequestParams.formatRequestParams.loose_listRequestParams.min_spacingRequestParams.nb_channelRequestParams.nodes_listRequestParams.path_bandwidthRequestParams.penaltiesRequestParams.powerRequestParams.request_idRequestParams.roll_offRequestParams.sourceRequestParams.spacingRequestParams.trx_modeRequestParams.trx_typeRequestParams.tx_osnrRequestParams.tx_power
ResultElement_penalty_msg()compare_reqs()compute_constrained_path()compute_path_dsjctn()compute_path_with_disjunction()compute_spectrum_slot_vs_bandwidth()correct_json_route_list()deduplicate_disjunctions()explicit_path()filter_si()find_elements_common_range()find_reversed_path()is_adjacent()isdisjoint()ispart()jsontocsv()jsontoparams()jsontopath_metric()propagate()propagate_and_optimize_mode()remove_candidate()requests_aggregation()- gnpy.topology.spectrum_assignment
BitmapOMSOMSParamsaggregate_oms_bitmap()align_grids()bitmap_sum()build_oms_list()build_path_oms_id_list()compute_n_m()create_oms_bitmap()determine_slot_numbers()find_network_freq_range()frequency_to_n()m_to_freq()mvalue_to_slots()nvalue_to_frequency()pth_assign_spectrum()reversed_oms()select_candidate()slots_to_m()spectrum_selection()
gnpy.tools- gnpy.tools.cli_examples
_add_common_options()_path_result_json()_setup_logging()load_common_data()path_requests_run()show_example_data_dir()transmission_main_example()- gnpy.tools.convert
EqptLinkNodeRoadm_do_convert()_format_items()all_rows()connect_eqpt()convert_file()corresp_names()corresp_next_node()create_east_eqpt_element()create_roadm_element()create_west_eqpt_element()eqpt_connection_by_city()eqpt_in_city_to_city()fiber_dest_from_source()fiber_link()midpoint()parse_excel()parse_headers()parse_row()parse_sheet()read_header()read_slice()sanity_check()xls_to_json_data()- gnpy.tools.json_io
AmpFiberModel_dual_stageModel_fgModel_hybridModel_openroadm_boosterModel_openroadm_ilaModel_openroadm_preampModel_vgRamanFiberRoadmSISpanTransceiver_JsonThing_check_fiber_vs_raman_fiber()_check_one_request()_cls_for()_equipment_from_json()_roadm_restrictions_sanity_check()_spectrum_from_json()_update_band()_update_dual_stage()convert_service_sheet()disjunctions_from_json()find_equalisation()load_equipment()load_initial_spectrum()load_json()load_network()load_requests()merge_equalization()network_from_json()network_to_json()requests_from_json()save_json()save_network()- gnpy.tools.plots
_try_city()plot_baseline()plot_results()- gnpy.tools.service_sheet
ElementRequestRequest_elementcheck_end_points()correct_xlrd_int_to_str_reading()correct_xls_route_list()find_node_sugestion()parse_excel()parse_row()parse_service_sheet()read_service_sheet()
