1. Preparation needed before the commands below : | No preparation necessary |
2. And repared afterwards using : | Removing the output from the distribution, needed for distcheck to work properly |
1. Expected output | 2e-05 -0.0700242 4e-05 -0.0700481 6e-05 -0.0700716 8e-05 -0.0700949 0.0001 -0.0701178 0.00012 -0.0701404 0.00014 -0.0701628 0.00016 -0.0701848 0.00018 -0.0702065 0.0002 -0.0702279 0.00022 -0.070249 0.00024 -0.0702698 0.00026 -0.0702903 0.00028 -0.0703105 0.0003 -0.0703305 0.00032 -0.0703502 0.00034 -0.0703695 0.00036 -0.0703886 0.00038 -0.0704074 0.0004 -0.070426 0.00042 -0.0704443 0.00044 -0.0704623 0.00046 -0.07048 0.00048 -0.0704975 0.0005 -0.0705147 0.00052 -0.0705317 0.00054 -0.0705484 0.00056 -0.0705649 0.00058 -0.0705811 0.0006 -0.0705971 0.00062 -0.0706128 0.00064 -0.0706283 0.00066 -0.0706435 0.00068 -0.0706585 0.0007 -0.0706733 0.00072 -0.0706878 0.00074 -0.0707021 0.00076 -0.0707162 0.00078 -0.07073 0.0008 -0.0707437 0.00082 -0.0707571 0.00084 -0.0707703 0.00086 -0.0707833 0.00088 -0.070796 0.0009 -0.0708086 0.00092 -0.070821 0.00094 -0.0708331 0.00096 -0.070845 0.00098 -0.0708568 0.001 -0.0708683 0.00102 -0.0708797 0.00104 -0.0708908 0.00106 -0.0709018 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1. Preparation needed before the commands below : | No preparation necessary |
2. And repared afterwards using : | Removing the output from the distribution, needed for distcheck to work properly |
1. Expected output | Inferring model name from cells/stand_alone.ndf, model name set to stand_alone Use the --model-name option to overwrite --- Running schedule --- apply: simulation: - arguments: - 0.05 - verbose: 0 method: advance models: - granular_parameters: [] modelname: /stand_alone solverclass: heccer name: 'builtin cell configuration, applied to: stand_alone' outputclasses: double_2_ascii: module_name: Heccer options: filename: ./output/stand_alone.out package: Heccer::Output outputs: - component_name: /stand_alone/segments/soma field: Vm outputclass: double_2_ascii services: model_container: initializers: - arguments: - - ./bin/ssp - -P - cells/stand_alone.ndf method: read module_name: Neurospaces solverclasses: heccer: module_name: Heccer service_name: model_container usage: |2 Simulate a single model neuron, default is to output the membrane potential of the soma. Use the options to inject current in the soma (--inject-magnitude), or alternatively to set a command voltage (--perfectclamp). The model's soma segment must reside in a SEGMENT_GROUP with name "segments". The name of the model neuron is inferred from the name of the model description file. (e.g. a model description file called "hh_neuron.ndf" is assumed to define a model neuron called "hh_neuron"). --model-name overwrite the default model name. --steps sets number of steps --- 1_DEBUG_subname: SSP::Debug::new 2_DEBUG_arguments: - SSP::Debug - apply: simulation: - arguments: - 0.05 - verbose: 0 method: advance models: - granular_parameters: [] modelname: /stand_alone solverclass: heccer name: 'builtin cell configuration, applied to: stand_alone' outputclasses: double_2_ascii: module_name: Heccer options: filename: ./output/stand_alone.out package: Heccer::Output outputs: - component_name: /stand_alone/segments/soma field: Vm outputclass: double_2_ascii services: model_container: initializers: - arguments: - - ./bin/ssp - -P - cells/stand_alone.ndf method: read module_name: Neurospaces solverclasses: heccer: module_name: Heccer service_name: model_container usage: |2 Simulate a single model neuron, default is to output the membrane potential of the soma. Use the options to inject current in the soma (--inject-magnitude), or alternatively to set a command voltage (--perfectclamp). The model's soma segment must reside in a SEGMENT_GROUP with name "segments". The name of the model neuron is inferred from the name of the model description file. (e.g. a model description file called "hh_neuron.ndf" is assumed to define a model neuron called "hh_neuron"). --model-name overwrite the default model name. --steps sets number of steps verbose: 1 --- 1_DEBUG_subname: SSP::Debug::salvage 2_DEBUG_arguments: - !!perl/hash:SSP::Debug analyzers: {} apply: simulation: - arguments: - 0.05 - verbose: 0 method: advance models: - granular_parameters: [] modelname: /stand_alone solverclass: heccer name: 'builtin cell configuration, applied to: stand_alone' outputclasses: double_2_ascii: module_name: Heccer options: filename: ./output/stand_alone.out package: Heccer::Output outputs: - component_name: /stand_alone/segments/soma field: Vm outputclass: double_2_ascii services: model_container: initializers: - arguments: - - ./bin/ssp - -P - cells/stand_alone.ndf method: read module_name: Neurospaces solverclasses: heccer: module_name: Heccer service_name: model_container usage: |2 Simulate a single model neuron, default is to output the membrane potential of the soma. Use the options to inject current in the soma (--inject-magnitude), or alternatively to set a command voltage (--perfectclamp). The model's soma segment must reside in a SEGMENT_GROUP with name "segments". The name of the model neuron is inferred from the name of the model description file. (e.g. a model description file called "hh_neuron.ndf" is assumed to define a model neuron called "hh_neuron"). --model-name overwrite the default model name. --steps sets number of steps verbose: 1 ./bin/ssp: Running schedule builtin cell configuration, applied to: stand_alone --- 1_DEBUG_subname: SSP::Debug::run 2_DEBUG_arguments: - !!perl/hash:SSP::Debug analyzers: {} application_classes: analyzers: default: - method: analyze priority: 95 finishers: default: - method: finish priority: 140 initializers: default: - method: compile - method: instantiate_inputs - method: instantiate_outputs - method: initiate priority: 80 modifiers: default: [] priority: 50 results: default: [] priority: 170 services: default: - method: instantiate_services priority: 20 simulation: default: [] priority: 110 apply: simulation: - arguments: - 0.05 - verbose: 0 method: advance models: - granular_parameters: [] modelname: /stand_alone solverclass: heccer name: 'builtin cell configuration, applied to: stand_alone' outputclasses: double_2_ascii: module_name: Heccer options: filename: ./output/stand_alone.out package: Heccer::Output outputs: - component_name: /stand_alone/segments/soma field: Vm outputclass: double_2_ascii services: model_container: initializers: - arguments: - - ./bin/ssp - -P - cells/stand_alone.ndf method: read model_library: /usr/local/neurospaces/models/library module_name: Neurospaces solverclasses: heccer: module_name: Heccer service_name: model_container usage: |2 Simulate a single model neuron, default is to output the membrane potential of the soma. Use the options to inject current in the soma (--inject-magnitude), or alternatively to set a command voltage (--perfectclamp). The model's soma segment must reside in a SEGMENT_GROUP with name "segments". The name of the model neuron is inferred from the name of the model description file. (e.g. a model description file called "hh_neuron.ndf" is assumed to define a model neuron called "hh_neuron"). --model-name overwrite the default model name. --steps sets number of steps verbose: 1 --- 1_DEBUG_subname: SSP::Debug::salvage 2_DEBUG_arguments: - !!perl/hash:SSP::Debug analyzers: {} application_classes: analyzers: default: - method: analyze priority: 95 finishers: default: - method: finish priority: 140 initializers: default: - method: compile - method: instantiate_inputs - method: instantiate_outputs - method: initiate priority: 80 modifiers: default: [] priority: 50 results: default: [] priority: 170 services: default: - method: instantiate_services priority: 20 simulation: default: [] priority: 110 apply: simulation: - arguments: - 0.05 - verbose: 0 method: advance models: - granular_parameters: [] modelname: /stand_alone solverclass: heccer name: 'builtin cell configuration, applied to: stand_alone' outputclasses: double_2_ascii: module_name: Heccer options: filename: ./output/stand_alone.out package: Heccer::Output outputs: - component_name: /stand_alone/segments/soma field: Vm outputclass: double_2_ascii services: model_container: initializers: - arguments: - - ./bin/ssp - -P - cells/stand_alone.ndf method: read model_library: /usr/local/neurospaces/models/library module_name: Neurospaces solverclasses: heccer: module_name: Heccer service_name: model_container usage: |2 Simulate a single model neuron, default is to output the membrane potential of the soma. Use the options to inject current in the soma (--inject-magnitude), or alternatively to set a command voltage (--perfectclamp). The model's soma segment must reside in a SEGMENT_GROUP with name "segments". The name of the model neuron is inferred from the name of the model description file. (e.g. a model description file called "hh_neuron.ndf" is assumed to define a model neuron called "hh_neuron"). --model-name overwrite the default model name. --steps sets number of steps verbose: 1 ./bin/ssp: applying method 'instantiate_services' to builtin cell configuration, applied to: stand_alone --- 1_DEBUG_subname: SSP::Debug::instantiate_services 2_DEBUG_arguments: - &1 !!perl/hash:SSP::Debug analyzers: {} application_classes: analyzers: default: &2 - method: analyze priority: 95 finishers: default: &3 - method: finish priority: 140 initializers: default: &4 - method: compile - method: instantiate_inputs - method: instantiate_outputs - method: initiate priority: 80 modifiers: default: &5 [] priority: 50 results: default: &6 [] priority: 170 services: default: &7 - method: instantiate_services priority: 20 simulation: default: [] priority: 110 apply: analyzers: *2 finishers: *3 initializers: *4 modifiers: *5 results: *6 services: *7 simulation: - arguments: - 0.05 - verbose: 0 method: advance models: - granular_parameters: [] modelname: /stand_alone solverclass: heccer name: 'builtin cell configuration, applied to: stand_alone' outputclasses: double_2_ascii: module_name: Heccer options: filename: ./output/stand_alone.out package: Heccer::Output outputs: - component_name: /stand_alone/segments/soma field: Vm outputclass: double_2_ascii services: model_container: initializers: - arguments: - - ./bin/ssp - -P - cells/stand_alone.ndf method: read model_library: /usr/local/neurospaces/models/library module_name: Neurospaces solverclasses: heccer: module_name: Heccer service_name: model_container usage: |2 Simulate a single model neuron, default is to output the membrane potential of the soma. Use the options to inject current in the soma (--inject-magnitude), or alternatively to set a command voltage (--perfectclamp). The model's soma segment must reside in a SEGMENT_GROUP with name "segments". The name of the model neuron is inferred from the name of the model description file. (e.g. a model description file called "hh_neuron.ndf" is assumed to define a model neuron called "hh_neuron"). --model-name overwrite the default model name. --steps sets number of steps verbose: 1 - *1 ./bin/ssp: applying method 'compile' to builtin cell configuration, applied to: stand_alone --- 1_DEBUG_subname: SSP::Debug::compile 2_DEBUG_arguments: - &1 !!perl/hash:SSP::Debug analyzers: {} application_classes: analyzers: default: &2 - method: analyze priority: 95 finishers: default: &3 - method: finish priority: 140 initializers: default: &4 - method: compile - method: instantiate_inputs - method: instantiate_outputs - method: initiate priority: 80 modifiers: default: &5 [] priority: 50 results: default: &6 [] priority: 170 services: default: &7 - method: instantiate_services priority: 20 simulation: default: [] priority: 110 apply: analyzers: *2 finishers: *3 initializers: *4 modifiers: *5 results: *6 services: *7 simulation: - arguments: - 0.05 - verbose: 0 method: advance models: - granular_parameters: [] modelname: /stand_alone solverclass: heccer name: 'builtin cell configuration, applied to: stand_alone' outputclasses: double_2_ascii: module_name: Heccer options: filename: ./output/stand_alone.out package: Heccer::Output outputs: - component_name: /stand_alone/segments/soma field: Vm outputclass: double_2_ascii services: model_container: initializers: &8 - arguments: - - ./bin/ssp - -P - cells/stand_alone.ndf - -m - /usr/local/neurospaces/models/library method: read model_library: /usr/local/neurospaces/models/library module_name: Neurospaces ssp_service: !!perl/hash:SSP::Service backend: !!perl/hash:Neurospaces initializers: *8 model_library: /usr/local/neurospaces/models/library module_name: Neurospaces neurospaces: !!perl/hash:SwiggableNeurospaces::Neurospaces {} scheduler: *1 solverclasses: heccer: module_name: Heccer service_name: model_container status: instantiate_services: - [] usage: |2 Simulate a single model neuron, default is to output the membrane potential of the soma. Use the options to inject current in the soma (--inject-magnitude), or alternatively to set a command voltage (--perfectclamp). The model's soma segment must reside in a SEGMENT_GROUP with name "segments". The name of the model neuron is inferred from the name of the model description file. (e.g. a model description file called "hh_neuron.ndf" is assumed to define a model neuron called "hh_neuron"). --model-name overwrite the default model name. --steps sets number of steps verbose: 1 - *1 ./bin/ssp: applying method 'instantiate_inputs' to builtin cell configuration, applied to: stand_alone --- 1_DEBUG_subname: SSP::Debug::instantiate_inputs 2_DEBUG_arguments: - &1 !!perl/hash:SSP::Debug analyzers: {} application_classes: analyzers: default: &2 - method: analyze priority: 95 finishers: default: &3 - method: finish priority: 140 initializers: default: &4 - method: compile - method: instantiate_inputs - method: instantiate_outputs - method: initiate priority: 80 modifiers: default: &5 [] priority: 50 results: default: &6 [] priority: 170 services: default: &7 - method: instantiate_services priority: 20 simulation: default: [] priority: 110 apply: analyzers: *2 finishers: *3 initializers: *4 modifiers: *5 results: *6 services: *7 simulation: - arguments: - 0.05 - verbose: 0 method: advance models: - granular_parameters: [] modelname: /stand_alone solverclass: heccer name: 'builtin cell configuration, applied to: stand_alone' outputclasses: double_2_ascii: module_name: Heccer options: filename: ./output/stand_alone.out package: Heccer::Output outputs: - component_name: /stand_alone/segments/soma field: Vm outputclass: double_2_ascii schedule: - !!perl/hash:SSP::Engine backend: !!perl/hash:Heccer event_distributor: event_distributor_backend: ~ event_distributor_name: ~ heccer: !!perl/hash:SwiggableHeccer::Heccer {} model_source: modelname: /stand_alone service_backend: &8 !!perl/hash:Neurospaces initializers: &9 - arguments: - - ./bin/ssp - -P - cells/stand_alone.ndf - -m - /usr/local/neurospaces/models/library method: read model_library: /usr/local/neurospaces/models/library module_name: Neurospaces neurospaces: !!perl/hash:SwiggableNeurospaces::Neurospaces {} service_name: model_container event_distributor: {} modelname: /stand_alone module_name: Heccer scheduler: *1 service: &10 initializers: *9 model_library: /usr/local/neurospaces/models/library module_name: Neurospaces ssp_service: !!perl/hash:SSP::Service backend: *8 scheduler: *1 service_name: model_container solverclass: heccer services: model_container: *10 solverclasses: heccer: module_name: Heccer service_name: model_container status: compile: - [] instantiate_services: - [] usage: |2 Simulate a single model neuron, default is to output the membrane potential of the soma. Use the options to inject current in the soma (--inject-magnitude), or alternatively to set a command voltage (--perfectclamp). The model's soma segment must reside in a SEGMENT_GROUP with name "segments". The name of the model neuron is inferred from the name of the model description file. (e.g. a model description file called "hh_neuron.ndf" is assumed to define a model neuron called "hh_neuron"). --model-name overwrite the default model name. --steps sets number of steps verbose: 1 - *1 ./bin/ssp: applying method 'instantiate_outputs' to builtin cell configuration, applied to: stand_alone --- 1_DEBUG_subname: SSP::Debug::instantiate_outputs 2_DEBUG_arguments: - &1 !!perl/hash:SSP::Debug analyzers: {} application_classes: analyzers: default: &2 - method: analyze priority: 95 finishers: default: &3 - method: finish priority: 140 initializers: default: &4 - method: compile - method: instantiate_inputs - method: instantiate_outputs - method: initiate priority: 80 modifiers: default: &5 [] priority: 50 results: default: &6 [] priority: 170 services: default: &7 - method: instantiate_services priority: 20 simulation: default: [] priority: 110 apply: analyzers: *2 finishers: *3 initializers: *4 modifiers: *5 results: *6 services: *7 simulation: - arguments: - 0.05 - verbose: 0 method: advance models: - granular_parameters: [] modelname: /stand_alone solverclass: heccer name: 'builtin cell configuration, applied to: stand_alone' outputclasses: double_2_ascii: module_name: Heccer options: filename: ./output/stand_alone.out package: Heccer::Output outputs: - component_name: /stand_alone/segments/soma field: Vm outputclass: double_2_ascii schedule: - !!perl/hash:SSP::Engine backend: !!perl/hash:Heccer event_distributor: event_distributor_backend: ~ event_distributor_name: ~ heccer: !!perl/hash:SwiggableHeccer::Heccer {} model_source: modelname: /stand_alone service_backend: &8 !!perl/hash:Neurospaces initializers: &9 - arguments: - - ./bin/ssp - -P - cells/stand_alone.ndf - -m - /usr/local/neurospaces/models/library method: read model_library: /usr/local/neurospaces/models/library module_name: Neurospaces neurospaces: !!perl/hash:SwiggableNeurospaces::Neurospaces {} service_name: model_container event_distributor: {} modelname: /stand_alone module_name: Heccer scheduler: *1 service: &10 initializers: *9 model_library: /usr/local/neurospaces/models/library module_name: Neurospaces ssp_service: !!perl/hash:SSP::Service backend: *8 scheduler: *1 service_name: model_container solverclass: heccer services: model_container: *10 solverclasses: heccer: module_name: Heccer service_name: model_container status: compile: - [] instantiate_inputs: - [] instantiate_services: - [] usage: |2 Simulate a single model neuron, default is to output the membrane potential of the soma. Use the options to inject current in the soma (--inject-magnitude), or alternatively to set a command voltage (--perfectclamp). The model's soma segment must reside in a SEGMENT_GROUP with name "segments". The name of the model neuron is inferred from the name of the model description file. (e.g. a model description file called "hh_neuron.ndf" is assumed to define a model neuron called "hh_neuron"). --model-name overwrite the default model name. --steps sets number of steps verbose: 1 - *1 --- 1_DEBUG_subname: SSP::Debug::lookup_solver_engine 2_DEBUG_arguments: - &1 !!perl/hash:SSP::Debug analyzers: {} application_classes: analyzers: default: &2 - method: analyze priority: 95 finishers: default: &3 - method: finish priority: 140 initializers: default: &4 - method: compile - method: instantiate_inputs - method: instantiate_outputs - method: initiate priority: 80 modifiers: default: &5 [] priority: 50 results: default: &6 [] priority: 170 services: default: &7 - method: instantiate_services priority: 20 simulation: default: [] priority: 110 apply: analyzers: *2 finishers: *3 initializers: *4 modifiers: *5 results: *6 services: *7 simulation: - arguments: - 0.05 - verbose: 0 method: advance models: - granular_parameters: [] modelname: /stand_alone solverclass: heccer name: 'builtin cell configuration, applied to: stand_alone' outputclasses: double_2_ascii: module_name: Heccer options: &8 filename: ./output/stand_alone.out package: Heccer::Output ssp_outputclass: &9 !!perl/hash:SSP::Output backend: !!perl/hash:Heccer::Output backend: !!perl/hash:SwiggableHeccer::OutputGenerator {} filename: ./output/stand_alone.out module_name: Heccer name: double_2_ascii options: *8 package: Heccer::Output scheduler: *1 module_name: Heccer name: double_2_ascii options: *8 package: Heccer::Output scheduler: *1 outputs: - component_name: /stand_alone/segments/soma field: Vm outputclass: double_2_ascii schedule: - !!perl/hash:SSP::Engine backend: !!perl/hash:Heccer event_distributor: event_distributor_backend: ~ event_distributor_name: ~ heccer: !!perl/hash:SwiggableHeccer::Heccer {} model_source: modelname: /stand_alone service_backend: &10 !!perl/hash:Neurospaces initializers: &11 - arguments: - - ./bin/ssp - -P - cells/stand_alone.ndf - -m - /usr/local/neurospaces/models/library method: read model_library: /usr/local/neurospaces/models/library module_name: Neurospaces neurospaces: !!perl/hash:SwiggableNeurospaces::Neurospaces {} service_name: model_container event_distributor: {} modelname: /stand_alone module_name: Heccer scheduler: *1 service: &12 initializers: *11 model_library: /usr/local/neurospaces/models/library module_name: Neurospaces ssp_service: !!perl/hash:SSP::Service backend: *10 scheduler: *1 service_name: model_container solverclass: heccer - *9 services: neurospaces: *12 solverclasses: heccer: module_name: Heccer service_name: model_container status: compile: - [] instantiate_inputs: - [] instantiate_services: - [] usage: |2 Simulate a single model neuron, default is to output the membrane potential of the soma. Use the options to inject current in the soma (--inject-magnitude), or alternatively to set a command voltage (--perfectclamp). The model's soma segment must reside in a SEGMENT_GROUP with name "segments". The name of the model neuron is inferred from the name of the model description file. (e.g. a model description file called "hh_neuron.ndf" is assumed to define a model neuron called "hh_neuron"). --model-name overwrite the default model name. --steps sets number of steps verbose: 1 - model_container::/stand_alone ./bin/ssp: applying method 'initiate' to builtin cell configuration, applied to: stand_alone --- 1_DEBUG_subname: SSP::Debug::initiate 2_DEBUG_arguments: - &1 !!perl/hash:SSP::Debug analyzers: {} application_classes: analyzers: default: &2 - method: analyze priority: 95 finishers: default: &3 - method: finish priority: 140 initializers: default: &4 - method: compile - method: instantiate_inputs - method: instantiate_outputs - method: initiate priority: 80 modifiers: default: &5 [] priority: 50 results: default: &6 [] priority: 170 services: default: &7 - method: instantiate_services priority: 20 simulation: default: [] priority: 110 apply: analyzers: *2 finishers: *3 initializers: *4 modifiers: *5 results: *6 services: *7 simulation: - arguments: - 0.05 - verbose: 0 method: advance models: - granular_parameters: [] modelname: /stand_alone solverclass: heccer name: 'builtin cell configuration, applied to: stand_alone' outputclasses: double_2_ascii: module_name: Heccer options: &8 filename: ./output/stand_alone.out package: Heccer::Output ssp_outputclass: &9 !!perl/hash:SSP::Output backend: !!perl/hash:Heccer::Output backend: !!perl/hash:SwiggableHeccer::OutputGenerator {} filename: ./output/stand_alone.out module_name: Heccer name: double_2_ascii options: *8 package: Heccer::Output scheduler: *1 module_name: Heccer name: double_2_ascii options: *8 package: Heccer::Output scheduler: *1 outputs: - component_name: /stand_alone/segments/soma field: Vm outputclass: double_2_ascii schedule: - !!perl/hash:SSP::Engine backend: !!perl/hash:Heccer event_distributor: event_distributor_backend: ~ event_distributor_name: ~ heccer: !!perl/hash:SwiggableHeccer::Heccer {} model_source: modelname: /stand_alone service_backend: &10 !!perl/hash:Neurospaces initializers: &11 - arguments: - - ./bin/ssp - -P - cells/stand_alone.ndf - -m - /usr/local/neurospaces/models/library method: read model_library: /usr/local/neurospaces/models/library module_name: Neurospaces neurospaces: !!perl/hash:SwiggableNeurospaces::Neurospaces {} service_name: model_container event_distributor: {} modelname: /stand_alone module_name: Heccer scheduler: *1 service: &12 initializers: *11 model_library: /usr/local/neurospaces/models/library module_name: Neurospaces ssp_service: !!perl/hash:SSP::Service backend: *10 scheduler: *1 service_name: model_container solverclass: heccer - *9 services: neurospaces: *12 solverclasses: heccer: module_name: Heccer service_name: model_container status: compile: - [] instantiate_inputs: - [] instantiate_outputs: - [] instantiate_services: - [] usage: |2 Simulate a single model neuron, default is to output the membrane potential of the soma. Use the options to inject current in the soma (--inject-magnitude), or alternatively to set a command voltage (--perfectclamp). The model's soma segment must reside in a SEGMENT_GROUP with name "segments". The name of the model neuron is inferred from the name of the model description file. (e.g. a model description file called "hh_neuron.ndf" is assumed to define a model neuron called "hh_neuron"). --model-name overwrite the default model name. --steps sets number of steps verbose: 1 - *1 ./bin/ssp: applying method 'analyze' to builtin cell configuration, applied to: stand_alone --- 1_DEBUG_subname: SSP::Debug::analyze 2_DEBUG_arguments: - &1 !!perl/hash:SSP::Debug analyzers: {} application_classes: analyzers: default: &2 - method: analyze priority: 95 finishers: default: &3 - method: finish priority: 140 initializers: default: &4 - method: compile - method: instantiate_inputs - method: instantiate_outputs - method: initiate priority: 80 modifiers: default: &5 [] priority: 50 results: default: &6 [] priority: 170 services: default: &7 - method: instantiate_services priority: 20 simulation: default: [] priority: 110 apply: analyzers: *2 finishers: *3 initializers: *4 modifiers: *5 results: *6 services: *7 simulation: - arguments: - 0.05 - verbose: 0 method: advance models: - granular_parameters: [] modelname: /stand_alone solverclass: heccer name: 'builtin cell configuration, applied to: stand_alone' outputclasses: double_2_ascii: module_name: Heccer options: &8 filename: ./output/stand_alone.out package: Heccer::Output ssp_outputclass: &9 !!perl/hash:SSP::Output backend: !!perl/hash:Heccer::Output backend: !!perl/hash:SwiggableHeccer::OutputGenerator {} filename: ./output/stand_alone.out module_name: Heccer name: double_2_ascii options: *8 package: Heccer::Output scheduler: *1 module_name: Heccer name: double_2_ascii options: *8 package: Heccer::Output scheduler: *1 outputs: - component_name: /stand_alone/segments/soma field: Vm outputclass: double_2_ascii schedule: - !!perl/hash:SSP::Engine backend: !!perl/hash:Heccer event_distributor: event_distributor_backend: ~ event_distributor_name: ~ heccer: !!perl/hash:SwiggableHeccer::Heccer {} model_source: modelname: /stand_alone service_backend: &10 !!perl/hash:Neurospaces initializers: &11 - arguments: - - ./bin/ssp - -P - cells/stand_alone.ndf - -m - /usr/local/neurospaces/models/library method: read model_library: /usr/local/neurospaces/models/library module_name: Neurospaces neurospaces: !!perl/hash:SwiggableNeurospaces::Neurospaces {} service_name: model_container event_distributor: {} modelname: /stand_alone module_name: Heccer scheduler: *1 service: &12 initializers: *11 model_library: /usr/local/neurospaces/models/library module_name: Neurospaces ssp_service: !!perl/hash:SSP::Service backend: *10 scheduler: *1 service_name: model_container solverclass: heccer - *9 services: model_container: *12 simulation_time: steps: 0 time: 0 solverclasses: heccer: module_name: Heccer service_name: model_container status: compile: - [] initiate: - [] instantiate_inputs: - [] instantiate_outputs: - [] instantiate_services: - [] usage: |2 Simulate a single model neuron, default is to output the membrane potential of the soma. Use the options to inject current in the soma (--inject-magnitude), or alternatively to set a command voltage (--perfectclamp). The model's soma segment must reside in a SEGMENT_GROUP with name "segments". The name of the model neuron is inferred from the name of the model description file. (e.g. a model description file called "hh_neuron.ndf" is assumed to define a model neuron called "hh_neuron"). --model-name overwrite the default model name. --steps sets number of steps verbose: 1 - *1 ./bin/ssp: applying method 'advance' to builtin cell configuration, applied to: stand_alone --- 1_DEBUG_subname: SSP::Debug::advance 2_DEBUG_arguments: - &1 !!perl/hash:SSP::Debug analyzers: {} application_classes: analyzers: default: &2 - method: analyze priority: 95 finishers: default: &3 - method: finish priority: 140 initializers: default: &4 - method: compile - method: instantiate_inputs - method: instantiate_outputs - method: initiate priority: 80 modifiers: default: &5 [] priority: 50 results: default: &6 [] priority: 170 services: default: &7 - method: instantiate_services priority: 20 simulation: default: [] priority: 110 apply: analyzers: *2 finishers: *3 initializers: *4 modifiers: *5 results: *6 services: *7 simulation: - arguments: - 0.05 - &8 verbose: 0 method: advance models: - granular_parameters: [] modelname: /stand_alone solverclass: heccer name: 'builtin cell configuration, applied to: stand_alone' outputclasses: double_2_ascii: module_name: Heccer options: &9 filename: ./output/stand_alone.out package: Heccer::Output ssp_outputclass: &10 !!perl/hash:SSP::Output backend: !!perl/hash:Heccer::Output backend: !!perl/hash:SwiggableHeccer::OutputGenerator {} filename: ./output/stand_alone.out module_name: Heccer name: double_2_ascii options: *9 package: Heccer::Output scheduler: *1 module_name: Heccer name: double_2_ascii options: *9 package: Heccer::Output scheduler: *1 outputs: - component_name: /stand_alone/segments/soma field: Vm outputclass: double_2_ascii schedule: - !!perl/hash:SSP::Engine backend: !!perl/hash:Heccer event_distributor: event_distributor_backend: ~ event_distributor_name: ~ heccer: !!perl/hash:SwiggableHeccer::Heccer {} model_source: modelname: /stand_alone service_backend: &11 !!perl/hash:Neurospaces initializers: &12 - arguments: - - ./bin/ssp - -P - cells/stand_alone.ndf - -m - /usr/local/neurospaces/models/library method: read model_library: /usr/local/neurospaces/models/library module_name: Neurospaces neurospaces: !!perl/hash:SwiggableNeurospaces::Neurospaces {} service_name: model_container event_distributor: {} modelname: /stand_alone module_name: Heccer scheduler: *1 service: &13 initializers: *12 model_library: /usr/local/neurospaces/models/library module_name: Neurospaces ssp_service: !!perl/hash:SSP::Service backend: *11 scheduler: *1 service_name: model_container solverclass: heccer - *10 services: model_container: *13 simulation_time: steps: 0 time: 0 solverclasses: heccer: module_name: Heccer service_name: model_container status: analyze: - [] compile: - [] initiate: - [] instantiate_inputs: - [] instantiate_outputs: - [] instantiate_services: - [] usage: |2 Simulate a single model neuron, default is to output the membrane potential of the soma. Use the options to inject current in the soma (--inject-magnitude), or alternatively to set a command voltage (--perfectclamp). The model's soma segment must reside in a SEGMENT_GROUP with name "segments". The name of the model neuron is inferred from the name of the model description file. (e.g. a model description file called "hh_neuron.ndf" is assumed to define a model neuron called "hh_neuron"). --model-name overwrite the default model name. --steps sets number of steps verbose: 1 - *1 - 0.05 - *8 --- 1_DEBUG_subname: SSP::Debug::get_time_step 2_DEBUG_arguments: - &1 !!perl/hash:SSP::Debug analyzers: {} application_classes: analyzers: default: &2 - method: analyze priority: 95 finishers: default: &3 - method: finish priority: 140 initializers: default: &4 - method: compile - method: instantiate_inputs - method: instantiate_outputs - method: initiate priority: 80 modifiers: default: &5 [] priority: 50 results: default: &6 [] priority: 170 services: default: &7 - method: instantiate_services priority: 20 simulation: default: [] priority: 110 apply: analyzers: *2 finishers: *3 initializers: *4 modifiers: *5 results: *6 services: *7 simulation: - arguments: - 0.05 - verbose: 0 method: advance models: - granular_parameters: [] modelname: /stand_alone solverclass: heccer name: 'builtin cell configuration, applied to: stand_alone' outputclasses: double_2_ascii: module_name: Heccer options: &8 filename: ./output/stand_alone.out package: Heccer::Output ssp_outputclass: &9 !!perl/hash:SSP::Output backend: !!perl/hash:Heccer::Output backend: !!perl/hash:SwiggableHeccer::OutputGenerator {} filename: ./output/stand_alone.out module_name: Heccer name: double_2_ascii options: *8 package: Heccer::Output scheduler: *1 module_name: Heccer name: double_2_ascii options: *8 package: Heccer::Output scheduler: *1 outputs: - component_name: /stand_alone/segments/soma field: Vm outputclass: double_2_ascii schedule: - !!perl/hash:SSP::Engine backend: !!perl/hash:Heccer event_distributor: event_distributor_backend: ~ event_distributor_name: ~ heccer: !!perl/hash:SwiggableHeccer::Heccer {} model_source: modelname: /stand_alone service_backend: &10 !!perl/hash:Neurospaces initializers: &11 - arguments: - - ./bin/ssp - -P - cells/stand_alone.ndf - -m - /usr/local/neurospaces/models/library method: read model_library: /usr/local/neurospaces/models/library module_name: Neurospaces neurospaces: !!perl/hash:SwiggableNeurospaces::Neurospaces {} service_name: model_container event_distributor: {} modelname: /stand_alone module_name: Heccer scheduler: *1 service: &12 initializers: *11 model_library: /usr/local/neurospaces/models/library module_name: Neurospaces ssp_service: !!perl/hash:SSP::Service backend: *10 scheduler: *1 service_name: model_container solverclass: heccer - *9 services: model_container: *12 simulation_time: steps: 0 time: 0 solverclasses: heccer: module_name: Heccer service_name: model_container status: analyze: - [] compile: - [] initiate: - [] instantiate_inputs: - [] instantiate_outputs: - [] instantiate_services: - [] usage: |2 Simulate a single model neuron, default is to output the membrane potential of the soma. Use the options to inject current in the soma (--inject-magnitude), or alternatively to set a command voltage (--perfectclamp). The model's soma segment must reside in a SEGMENT_GROUP with name "segments". The name of the model neuron is inferred from the name of the model description file. (e.g. a model description file called "hh_neuron.ndf" is assumed to define a model neuron called "hh_neuron"). --model-name overwrite the default model name. --steps sets number of steps verbose: 1 --- 1_DEBUG_subname: SSP::Debug::steps 2_DEBUG_arguments: - &1 !!perl/hash:SSP::Debug analyzers: {} application_classes: analyzers: default: &2 - method: analyze priority: 95 finishers: default: &3 - method: finish priority: 140 initializers: default: &4 - method: compile - method: instantiate_inputs - method: instantiate_outputs - method: initiate priority: 80 modifiers: default: &5 [] priority: 50 results: default: &6 [] priority: 170 services: default: &7 - method: instantiate_services priority: 20 simulation: default: [] priority: 110 apply: analyzers: *2 finishers: *3 initializers: *4 modifiers: *5 results: *6 services: *7 simulation: - arguments: - 0.05 - verbose: 0 method: advance models: - granular_parameters: [] modelname: /stand_alone solverclass: heccer name: 'builtin cell configuration, applied to: stand_alone' outputclasses: double_2_ascii: module_name: Heccer options: &8 filename: ./output/stand_alone.out package: Heccer::Output ssp_outputclass: &9 !!perl/hash:SSP::Output backend: !!perl/hash:Heccer::Output backend: !!perl/hash:SwiggableHeccer::OutputGenerator {} filename: ./output/stand_alone.out module_name: Heccer name: double_2_ascii options: *8 package: Heccer::Output scheduler: *1 module_name: Heccer name: double_2_ascii options: *8 package: Heccer::Output scheduler: *1 outputs: - component_name: /stand_alone/segments/soma field: Vm outputclass: double_2_ascii schedule: - !!perl/hash:SSP::Engine backend: !!perl/hash:Heccer event_distributor: event_distributor_backend: ~ event_distributor_name: ~ heccer: !!perl/hash:SwiggableHeccer::Heccer {} model_source: modelname: /stand_alone service_backend: &10 !!perl/hash:Neurospaces initializers: &11 - arguments: - - ./bin/ssp - -P - cells/stand_alone.ndf - -m - /usr/local/neurospaces/models/library method: read model_library: /usr/local/neurospaces/models/library module_name: Neurospaces neurospaces: !!perl/hash:SwiggableNeurospaces::Neurospaces {} service_name: model_container event_distributor: {} modelname: /stand_alone module_name: Heccer scheduler: *1 service: &12 initializers: *11 model_library: /usr/local/neurospaces/models/library module_name: Neurospaces ssp_service: !!perl/hash:SSP::Service backend: *10 scheduler: *1 service_name: model_container solverclass: heccer - *9 services: model_container: *12 simulation_time: steps: 0 time: 0 solverclasses: heccer: module_name: Heccer service_name: model_container status: analyze: - [] compile: - [] initiate: - [] instantiate_inputs: - [] instantiate_outputs: - [] instantiate_services: - [] usage: |2 Simulate a single model neuron, default is to output the membrane potential of the soma. Use the options to inject current in the soma (--inject-magnitude), or alternatively to set a command voltage (--perfectclamp). The model's soma segment must reside in a SEGMENT_GROUP with name "segments". The name of the model neuron is inferred from the name of the model description file. (e.g. a model description file called "hh_neuron.ndf" is assumed to define a model neuron called "hh_neuron"). --model-name overwrite the default model name. --steps sets number of steps verbose: 1 - *1 - 2500 ./bin/ssp: applying method 'finish' to builtin cell configuration, applied to: stand_alone --- 1_DEBUG_subname: SSP::Debug::finish 2_DEBUG_arguments: - &1 !!perl/hash:SSP::Debug analyzers: {} application_classes: analyzers: default: &2 - method: analyze priority: 95 finishers: default: &3 - method: finish priority: 140 initializers: default: &4 - method: compile - method: instantiate_inputs - method: instantiate_outputs - method: initiate priority: 80 modifiers: default: &5 [] priority: 50 results: default: &6 [] priority: 170 services: default: &7 - method: instantiate_services priority: 20 simulation: default: [] priority: 110 apply: analyzers: *2 finishers: *3 initializers: *4 modifiers: *5 results: *6 services: *7 simulation: - arguments: &8 - 0.05 - verbose: 0 method: advance models: - granular_parameters: [] modelname: /stand_alone solverclass: heccer name: 'builtin cell configuration, applied to: stand_alone' outputclasses: double_2_ascii: module_name: Heccer options: &9 filename: ./output/stand_alone.out package: Heccer::Output ssp_outputclass: &10 !!perl/hash:SSP::Output backend: !!perl/hash:Heccer::Output backend: !!perl/hash:SwiggableHeccer::OutputGenerator {} filename: ./output/stand_alone.out module_name: Heccer name: double_2_ascii options: *9 package: Heccer::Output scheduler: *1 module_name: Heccer name: double_2_ascii options: *9 package: Heccer::Output scheduler: *1 outputs: - component_name: /stand_alone/segments/soma field: Vm outputclass: double_2_ascii schedule: - !!perl/hash:SSP::Engine backend: !!perl/hash:Heccer event_distributor: event_distributor_backend: ~ event_distributor_name: ~ heccer: !!perl/hash:SwiggableHeccer::Heccer {} model_source: modelname: /stand_alone service_backend: &11 !!perl/hash:Neurospaces initializers: &12 - arguments: - - ./bin/ssp - -P - cells/stand_alone.ndf - -m - /usr/local/neurospaces/models/library method: read model_library: /usr/local/neurospaces/models/library module_name: Neurospaces neurospaces: !!perl/hash:SwiggableNeurospaces::Neurospaces {} service_name: model_container event_distributor: {} modelname: /stand_alone module_name: Heccer scheduler: *1 service: &13 initializers: *12 model_library: /usr/local/neurospaces/models/library module_name: Neurospaces ssp_service: !!perl/hash:SSP::Service backend: *11 scheduler: *1 service_name: model_container solverclass: heccer - *10 services: model_container: *13 simulation_time: steps: 2500 time: ~ solverclasses: heccer: module_name: Heccer service_name: model_container status: advance: - *8 analyze: - [] compile: - [] initiate: - [] instantiate_inputs: - [] instantiate_outputs: - [] instantiate_services: - [] usage: |2 Simulate a single model neuron, default is to output the membrane potential of the soma. Use the options to inject current in the soma (--inject-magnitude), or alternatively to set a command voltage (--perfectclamp). The model's soma segment must reside in a SEGMENT_GROUP with name "segments". The name of the model neuron is inferred from the name of the model description file. (e.g. a model description file called "hh_neuron.ndf" is assumed to define a model neuron called "hh_neuron"). --model-name overwrite the default model name. --steps sets number of steps verbose: 1 - *1 output files follow --- --- 1_DEBUG_subname: SSP::Debug::DESTROY 2_DEBUG_arguments: - !!perl/hash:SSP::Debug analyzers: {} application_classes: analyzers: default: &1 - method: analyze priority: 95 finishers: default: &2 - method: finish priority: 140 initializers: default: &3 - method: compile - method: instantiate_inputs - method: instantiate_outputs - method: initiate priority: 80 modifiers: default: &4 [] priority: 50 results: default: &5 [] priority: 170 services: default: &6 - method: instantiate_services priority: 20 simulation: default: [] priority: 110 apply: analyzers: *1 finishers: *2 initializers: *3 modifiers: *4 results: *5 services: *6 simulation: - arguments: &7 - 0.05 - verbose: 0 method: advance models: - granular_parameters: [] modelname: /stand_alone solverclass: heccer name: 'builtin cell configuration, applied to: stand_alone' outputclasses: double_2_ascii: module_name: Heccer options: filename: ./output/stand_alone.out package: Heccer::Output ssp_outputclass: ~ outputs: - component_name: /stand_alone/segments/soma field: Vm outputclass: double_2_ascii schedule: - ~ - ~ services: model_container: initializers: - arguments: - - ./bin/ssp - -P - cells/stand_alone.ndf - -m - /usr/local/neurospaces/models/library method: read model_library: /usr/local/neurospaces/models/library module_name: Neurospaces ssp_service: !!perl/hash:SSP::Service backend: ~ scheduler: ~ simulation_time: steps: 2500 time: ~ solverclasses: heccer: module_name: Heccer service_name: model_container status: advance: - *7 analyze: - [] compile: - [] finish: - [] initiate: - [] instantiate_inputs: - [] instantiate_outputs: - [] instantiate_services: - [] usage: |2 Simulate a single model neuron, default is to output the membrane potential of the soma. Use the options to inject current in the soma (--inject-magnitude), or alternatively to set a command voltage (--perfectclamp). The model's soma segment must reside in a SEGMENT_GROUP with name "segments". The name of the model neuron is inferred from the name of the model description file. (e.g. a model description file called "hh_neuron.ndf" is assumed to define a model neuron called "hh_neuron"). --model-name overwrite the default model name. --steps sets number of steps verbose: 1 undefined_method SSP::DESTROY |
2. This test is currently not executed | (disabled is 'due to the context dependent name of the ssp executable, this test needs regexes to work properly, but that seems like to much work for the moment') |
1. Expected output | 2e-05 -0.0679941 4e-05 -0.0679871 6e-05 -0.0679801 8e-05 -0.0679732 0.0001 -0.0679665 0.00012 -0.0679602 0.00014 -0.0679541 0.00016 -0.0679484 0.00018 -0.0679429 0.0002 -0.0679378 0.00022 -0.0679329 0.00024 -0.0679282 0.00026 -0.0679238 0.00028 -0.0679196 0.0003 -0.0679156 0.00032 -0.0679118 0.00034 -0.0679082 0.00036 -0.0679048 0.00038 -0.0679015 0.0004 -0.0678984 0.00042 -0.0678954 0.00044 -0.0678926 0.00046 -0.0678899 0.00048 -0.0678872 0.0005 -0.0678847 0.00052 -0.0678823 0.00054 -0.06788 0.00056 -0.0678778 0.00058 -0.0678757 0.0006 -0.0678736 0.00062 -0.0678717 0.00064 -0.0678698 0.00066 -0.0678679 0.00068 -0.0678661 0.0007 -0.0678644 0.00072 -0.0678628 0.00074 -0.0678612 0.00076 -0.0678596 0.00078 -0.0678581 0.0008 -0.0678567 0.00082 -0.0678552 0.00084 -0.0678539 0.00086 -0.0678525 0.00088 -0.0678512 0.0009 -0.06785 0.00092 -0.0678488 0.00094 -0.0678476 0.00096 -0.0678464 0.00098 -0.0678453 0.001 -0.0678441 0.00102 -0.0678431 0.00104 -0.067842 0.00106 -0.067841 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1. 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