Closed vcdaemon closed 3 years ago
Thank you @vcdaemon for your submission to the BioSimulators simulator validation/submission system!
The BioSimulators validator bot is validating the specifications of your simulator, validating your Docker image, and committing your simulator to the BioSimulators registry.
We will discuss any concerns with your submission in this issue.
A complete log of your simulator submission job will be available for 90 days here. The results of the validation of your tool will also be saved as a JSON file. A link to this file will be available for 90 days from the "Artifacts" section at the bottom of this page.
The validation/submission of your simulator failed.
- 'url'
The complete log of your validation/submission job, including further information about the failure, is available for 90 days here.
If you chose to validate your Docker image, the results of the validation of your image will be available shortly as a JSON file. A link to this file will be available for 90 days from the "Artifacts" section at the bottom of this page.
Once you have fixed the problem, edit the first block of this issue to re-initiate this validation.
The BioSimulators Team is happy to help. Questions and feedback can be directed to the BioSimulators Team by posting comments to this issues that reference the GitHub team @biosimulators/biosimulators
(without the backticks).
Failed in biosimulators_utils routine before actually testing the simulator
https://github.com/biosimulators/Biosimulators/runs/3646372208?check_suite_focus=true
The message body above was not correctly formatted. url
must be a property of image
. @moraru this likely needs to be corrected in your submission action.
Thank you @vcdaemon for your submission to the BioSimulators simulator validation/submission system!
The BioSimulators validator bot is validating the specifications of your simulator, validating your Docker image, and committing your simulator to the BioSimulators registry.
We will discuss any concerns with your submission in this issue.
A complete log of your simulator submission job will be available for 90 days here. The results of the validation of your tool will also be saved as a JSON file. A link to this file will be available for 90 days from the "Artifacts" section at the bottom of this page.
The specifications of your simulator is valid!
Executed 73 test cases
Passed 26 test cases:
cli.CliDescribesSupportedEnvironmentVariablesInline
cli.CliDisplaysHelpInline
cli.CliDisplaysVersionInformationInline
combine_archive.CombineArchiveHasSedDocumentsInNestedDirectories
combine_archive.CombineArchiveHasSedDocumentsWithSameNamesInDifferentInNestedDirectories
combine_archive.WhenACombineArchiveHasAMasterFileSimulatorOnlyExecutesThisFile
combine_archive.WhenACombineArchiveHasNoMasterFileSimulatorExecutesAllSedDocuments
docker_image.DeclaresSupportedEnvironmentVariables
docker_image.DefaultUserIsRoot
docker_image.HasBioContainersLabels
docker_image.HasOciLabels
docker_image.SingularityImageExecutesSimulationsSuccessfully
published_project.SimulatorCanExecutePublishedProject:sbml-core/Caravagna-J-Theor-Biol-2010-tumor-suppressive-oscillations
published_project.SimulatorCanExecutePublishedProject:sbml-core/Ciliberto-J-Cell-Biol-2003-morphogenesis-checkpoint-Fehlberg
published_project.SimulatorCanExecutePublishedProject:sbml-core/Ciliberto-J-Cell-Biol-2003-morphogenesis-checkpoint-continuous
published_project.SimulatorCanExecutePublishedProject:sbml-core/Elowitz-Nature-2000-Repressilator
published_project.SimulatorCanExecutePublishedProject:sbml-core/Vilar-PNAS-2002-minimal-circardian-clock
published_project.SimulatorCanExecutePublishedProject:sbml-core/Vilar-PNAS-2002-minimal-circardian-clock-continuous
published_project.SimulatorCanExecutePublishedProject:sbml-core/Vilar-PNAS-2002-minimal-circardian-clock-discrete-NRM
results_report.SimulatorGeneratesReportsOfSimulationResults
sedml.SimulatorSupportsAlgorithmParameters
sedml.SimulatorSupportsDataGeneratorsWithDifferentShapes
sedml.SimulatorSupportsModelsSimulationsTasksDataGeneratorsAndReports
sedml.SimulatorSupportsMultipleReportsPerSedDocument
sedml.SimulatorSupportsMultipleTasksPerSedDocument
sedml.SimulatorSupportsUniformTimeCoursesWithNonZeroOutputStartTimes
Failed 3 test cases:
sedml.SimulatorProducesLinear2DPlots
sedml.SimulatorProducesLogarithmic2DPlots
sedml.SimulatorProducesMultiplePlots
Skipped 44 test cases:
log.SimulatorReportsTheStatusOfTheExecutionOfCombineArchives
log.SimulatorReportsTheStatusOfTheExecutionOfSedDocuments
log.SimulatorReportsTheStatusOfTheExecutionOfSedOutputs
log.SimulatorReportsTheStatusOfTheExecutionOfSedTasks
published_project.SimulatorCanExecutePublishedProject:bngl/Dolan-PLoS-Comput-Biol-2015-NHEJ
published_project.SimulatorCanExecutePublishedProject:bngl/test-bngl
published_project.SimulatorCanExecutePublishedProject:cellml/Elowitz-Nature-2000-Repressilator
published_project.SimulatorCanExecutePublishedProject:cellml/Lorenz-system
published_project.SimulatorCanExecutePublishedProject:mass/Bordbar-Cell-Syst-2015-RBC-metabolism
published_project.SimulatorCanExecutePublishedProject:neuroml-lems/Hodgkin-Huxley-cell-CVODE
published_project.SimulatorCanExecutePublishedProject:neuroml-lems/Hodgkin-Huxley-cell-Euler
published_project.SimulatorCanExecutePublishedProject:rba/Escherichia-coli-K12-WT
published_project.SimulatorCanExecutePublishedProject:sbml-core/Edelstein-Biol-Cybern-1996-Nicotinic-excitation
published_project.SimulatorCanExecutePublishedProject:sbml-core/Parmar-BMC-Syst-Biol-2017-iron-distribution
published_project.SimulatorCanExecutePublishedProject:sbml-core/Szymanska-J-Theor-Biol-2009-HSP-synthesis
published_project.SimulatorCanExecutePublishedProject:sbml-core/Tomida-EMBO-J-2003-NFAT-translocation
published_project.SimulatorCanExecutePublishedProject:sbml-core/Varusai-Sci-Rep-2018-mTOR-signaling-LSODA-LSODAR-SBML
published_project.SimulatorCanExecutePublishedProject:sbml-core/Vilar-PNAS-2002-minimal-circardian-clock-discrete-SSA
published_project.SimulatorCanExecutePublishedProject:sbml-fbc/Escherichia-coli-core-metabolism
published_project.SimulatorCanExecutePublishedProject:sbml-qual/Chaouiya-BMC-Syst-Biol-2013-EGF-TNFa-signaling
published_project.SimulatorCanExecutePublishedProject:sbml-qual/Irons-J-Theor-Biol-2009-yeast-cell-cycle
published_project.SimulatorCanExecutePublishedProject:smoldyn/Lotka-Volterra
published_project.SimulatorCanExecutePublishedProject:xpp/Wu-Biochem-Pharmacol-2006-pituitary-GH3-cells
sedml.SimulatorCanResolveModelSourcesDefinedByUriFragments
sedml.SimulatorCanResolveModelSourcesDefinedByUriFragmentsAndInheritChanges
sedml.SimulatorProducesLinear3DPlots
sedml.SimulatorProducesLogarithmic3DPlots
sedml.SimulatorProducesReportsWithCuratedNumberOfDimensions
sedml.SimulatorSupportsAddReplaceRemoveModelElementChanges
sedml.SimulatorSupportsComputeModelChanges
sedml.SimulatorSupportsDataSetsWithDifferentShapes
sedml.SimulatorSupportsModelAttributeChanges
sedml.SimulatorSupportsRepeatedTasksWithChanges
sedml.SimulatorSupportsRepeatedTasksWithFunctionalRangeVariables
sedml.SimulatorSupportsRepeatedTasksWithFunctionalRanges
sedml.SimulatorSupportsRepeatedTasksWithLinearUniformRanges
sedml.SimulatorSupportsRepeatedTasksWithLogarithmicUniformRanges
sedml.SimulatorSupportsRepeatedTasksWithMultipleSubTasks
sedml.SimulatorSupportsRepeatedTasksWithNestedFunctionalRanges
sedml.SimulatorSupportsRepeatedTasksWithNestedRepeatedTasks
sedml.SimulatorSupportsRepeatedTasksWithSubTasksOfMixedTypes
sedml.SimulatorSupportsRepeatedTasksWithVectorRanges
sedml.SimulatorSupportsSubstitutingAlgorithms
sedml.SimulatorSupportsUniformTimeCoursesWithNonZeroInitialTimes
sedml.SimulatorProducesLinear2DPlots
(12.6 s)Test that a simulator produces linear 2D plots
Exception:
Simulator did not record the following data generators:
- `data_gen_E`
- `data_gen_I`
- `data_gen_T`
- `data_gen_time`
Log:
VCell CLI input archive /tmp/in/archive.omex
Sep 20, 2021 12:36:23 AM java.util.prefs.FileSystemPreferences$1 run
INFO: Created user preferences directory.
-----------------------------------------------------------------------------------------------------
TempPath Created: /tmp/vcell_temp_3e7533da-a04e-42cf-8f85-e797bb7d67cf2236823500470505317
Python 3.8.10
utilPath: /usr/local/app/vcell/installDir/python/vcell_cli_utils
cliUtilPath: /usr/local/app/vcell/installDir/python/vcell_cli_utils/vcell_cli_utils
cliPath: /usr/local/app/vcell/installDir/python/vcell_cli_utils/vcell_cli_utils/cli.py
statusPath: /usr/local/app/vcell/installDir/python/vcell_cli_utils/vcell_cli_utils/status.py
SED-ML version level not supported, import may fail
SED-ML version level not supported, import may fail
Unsupported version, import may fail
Found 1 SED-ML document(s) with 1 model(s), 1 simulation(s), 1 task(s), 0 report(s), 1 plot2D(s), and 0 plot3D(s)
Successful translation: SED-ML file BIOMD0000000912_sim.sedml
-----------------------------------------------------------------------------------------------------
name: BIOMD0000000912_sim
SED-ML version level not supported, import may fail
SED-ML version level not supported, import may fail
Unsupported version, import may fail
Model [id=BIOMD0000000912, name=Caravagna2010 - Tumour suppression by immune system, language=urn:sedml:language:sbml, src=Caravagna2010.xml]
UniformTimeCourse [initialTime=0.0, numberOfPoints=10, outputEndTime=2.0, outputStartTime=0.0, Algorithm [kisaoID=KISAO:0000019], getId()=BIOMD0000000912_sim]
Task [modelReference=BIOMD0000000912, name=Caravagna2010, simulationReference=BIOMD0000000912_sim, getId()=BIOMD0000000912_task]
DataGenerator [math=org.jmathml.ASTRootNode@51fadaff, name=time, getId()=data_gen_time]
DataGenerator [math=org.jmathml.ASTRootNode@401f7633, name=T, getId()=data_gen_T]
DataGenerator [math=org.jmathml.ASTRootNode@31ff43be, name=E, getId()=data_gen_E]
DataGenerator [math=org.jmathml.ASTRootNode@5b6ec132, name=I, getId()=data_gen_I]
Plot2D [listOfCurves=[Curve [id=curve_0, logX=false, logY=false, name=null, xDataReference=data_gen_time, yDataReference=data_gen_time], Curve [id=curve_1, logX=false, logY=false, name=null, xDataReference=data_gen_T, yDataReference=data_gen_T], Curve [id=curve_2, logX=false, logY=false, name=null, xDataReference=data_gen_E, yDataReference=data_gen_E], Curve [id=curve_3, logX=false, logY=false, name=null, xDataReference=data_gen_I, yDataReference=data_gen_I]], name=null]
org.jlibsedml.Report@903fe012
SED-ML version level not supported, import may fail
SED-ML version level not supported, import may fail
Unsupported version, import may fail
Task (id='BIOMD0000000912_task') is compatible, solver match found in ontology: 'KISAO:0000019' matched to CVODE
SBML Import: no assignment rules.
SBML Import: no assignment rules.
LOGGER: msgLevel=MediumPriority, msgType=OverallWarning, Issues encountered during SBML Import:
- WARNING: The imported model has one or more reactions that have ids/names that are longer than 64 characters.
User is STRONGLY recommeded to shorten the names to avoid problems with the length of expressions these names might be used in.
Succesful model import: SBML file /tmp/temp1301353016527913898.xml
/tmp/out/BIOMD0000000912_sim.sedml
false
cbit.vcell.solver.ode.CVodeSolverStandalone@718607eb
Finished: SOLVER_FINISHED:completed
Succesful execution: Model 'archive__BIOMD0000000912' Task 'Caravagna2010'.
-----------------------------------------------------------------------------------------------------
Ignoring unsupported output `plot_0` while CSV generation.
Generating report `__plot__plot_0`.
HDF conversion successful
/usr/local/app/vcell/installDir/python/vcell_cli_utils/vcell_cli_utils/cli.py:409: DeprecationWarning: `np.float` is a deprecated alias for the builtin `float`. To silence this warning, use `float` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.float64` here.
Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations
np.float), y=df[data['y']].astype(np.float), ax=ax, label=curve)
/usr/local/app/vcell/installDir/python/vcell_cli_utils/vcell_cli_utils/cli.py:409: DeprecationWarning: `np.float` is a deprecated alias for the builtin `float`. To silence this warning, use `float` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.float64` here.
Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations
np.float), y=df[data['y']].astype(np.float), ax=ax, label=curve)
/usr/local/app/vcell/installDir/python/vcell_cli_utils/vcell_cli_utils/cli.py:409: DeprecationWarning: `np.float` is a deprecated alias for the builtin `float`. To silence this warning, use `float` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.float64` here.
Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations
np.float), y=df[data['y']].astype(np.float), ax=ax, label=curve)
/usr/local/app/vcell/installDir/python/vcell_cli_utils/vcell_cli_utils/cli.py:409: DeprecationWarning: `np.float` is a deprecated alias for the builtin `float`. To silence this warning, use `float` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.float64` here.
Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations
np.float), y=df[data['y']].astype(np.float), ax=ax, label=curve)
Archiving resultant PDF files to `plots.zip`.
Archiving resultant CSV files to `reports.zip`.
sedml.SimulatorProducesLogarithmic2DPlots
(13.0 s)Test that a simulator produces logarithmic 2D plots
Exception:
Simulator did not record the following data generators:
- `data_gen_E`
- `data_gen_I`
- `data_gen_T`
- `data_gen_time`
Log:
VCell CLI input archive /tmp/in/archive.omex
Sep 20, 2021 12:36:36 AM java.util.prefs.FileSystemPreferences$1 run
INFO: Created user preferences directory.
-----------------------------------------------------------------------------------------------------
TempPath Created: /tmp/vcell_temp_418f5954-fd21-4680-b37b-f91d17065b625197795256953095257
Python 3.8.10
utilPath: /usr/local/app/vcell/installDir/python/vcell_cli_utils
cliUtilPath: /usr/local/app/vcell/installDir/python/vcell_cli_utils/vcell_cli_utils
cliPath: /usr/local/app/vcell/installDir/python/vcell_cli_utils/vcell_cli_utils/cli.py
statusPath: /usr/local/app/vcell/installDir/python/vcell_cli_utils/vcell_cli_utils/status.py
SED-ML version level not supported, import may fail
SED-ML version level not supported, import may fail
Unsupported version, import may fail
Found 1 SED-ML document(s) with 1 model(s), 1 simulation(s), 1 task(s), 0 report(s), 1 plot2D(s), and 0 plot3D(s)
Successful translation: SED-ML file BIOMD0000000912_sim.sedml
-----------------------------------------------------------------------------------------------------
name: BIOMD0000000912_sim
SED-ML version level not supported, import may fail
SED-ML version level not supported, import may fail
Unsupported version, import may fail
Model [id=BIOMD0000000912, name=Caravagna2010 - Tumour suppression by immune system, language=urn:sedml:language:sbml, src=Caravagna2010.xml]
UniformTimeCourse [initialTime=0.0, numberOfPoints=10, outputEndTime=2.0, outputStartTime=0.0, Algorithm [kisaoID=KISAO:0000019], getId()=BIOMD0000000912_sim]
Task [modelReference=BIOMD0000000912, name=Caravagna2010, simulationReference=BIOMD0000000912_sim, getId()=BIOMD0000000912_task]
DataGenerator [math=org.jmathml.ASTRootNode@51fadaff, name=time, getId()=data_gen_time]
DataGenerator [math=org.jmathml.ASTRootNode@401f7633, name=T, getId()=data_gen_T]
DataGenerator [math=org.jmathml.ASTRootNode@31ff43be, name=E, getId()=data_gen_E]
DataGenerator [math=org.jmathml.ASTRootNode@5b6ec132, name=I, getId()=data_gen_I]
Plot2D [listOfCurves=[Curve [id=curve_0, logX=true, logY=true, name=null, xDataReference=data_gen_time, yDataReference=data_gen_time], Curve [id=curve_1, logX=true, logY=true, name=null, xDataReference=data_gen_T, yDataReference=data_gen_T], Curve [id=curve_2, logX=true, logY=true, name=null, xDataReference=data_gen_E, yDataReference=data_gen_E], Curve [id=curve_3, logX=true, logY=true, name=null, xDataReference=data_gen_I, yDataReference=data_gen_I]], name=null]
org.jlibsedml.Report@903fe012
SED-ML version level not supported, import may fail
SED-ML version level not supported, import may fail
Unsupported version, import may fail
Task (id='BIOMD0000000912_task') is compatible, solver match found in ontology: 'KISAO:0000019' matched to CVODE
SBML Import: no assignment rules.
SBML Import: no assignment rules.
LOGGER: msgLevel=MediumPriority, msgType=OverallWarning, Issues encountered during SBML Import:
- WARNING: The imported model has one or more reactions that have ids/names that are longer than 64 characters.
User is STRONGLY recommeded to shorten the names to avoid problems with the length of expressions these names might be used in.
Succesful model import: SBML file /tmp/temp1325018608088274907.xml
/tmp/out/BIOMD0000000912_sim.sedml
false
cbit.vcell.solver.ode.CVodeSolverStandalone@718607eb
Finished: SOLVER_FINISHED:completed
Succesful execution: Model 'archive__BIOMD0000000912' Task 'Caravagna2010'.
-----------------------------------------------------------------------------------------------------
Ignoring unsupported output `plot_0` while CSV generation.
Generating report `__plot__plot_0`.
HDF conversion successful
/usr/local/app/vcell/installDir/python/vcell_cli_utils/vcell_cli_utils/cli.py:409: DeprecationWarning: `np.float` is a deprecated alias for the builtin `float`. To silence this warning, use `float` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.float64` here.
Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations
np.float), y=df[data['y']].astype(np.float), ax=ax, label=curve)
/usr/local/app/vcell/installDir/python/vcell_cli_utils/vcell_cli_utils/cli.py:409: DeprecationWarning: `np.float` is a deprecated alias for the builtin `float`. To silence this warning, use `float` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.float64` here.
Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations
np.float), y=df[data['y']].astype(np.float), ax=ax, label=curve)
/usr/local/app/vcell/installDir/python/vcell_cli_utils/vcell_cli_utils/cli.py:409: DeprecationWarning: `np.float` is a deprecated alias for the builtin `float`. To silence this warning, use `float` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.float64` here.
Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations
np.float), y=df[data['y']].astype(np.float), ax=ax, label=curve)
/usr/local/app/vcell/installDir/python/vcell_cli_utils/vcell_cli_utils/cli.py:409: DeprecationWarning: `np.float` is a deprecated alias for the builtin `float`. To silence this warning, use `float` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.float64` here.
Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations
np.float), y=df[data['y']].astype(np.float), ax=ax, label=curve)
Archiving resultant PDF files to `plots.zip`.
Archiving resultant CSV files to `reports.zip`.
sedml.SimulatorProducesMultiplePlots
(12.7 s)Test that a simulator produces multiple plots
Exception:
Simulator did not record the following data generators:
- `data_gen_E`
- `data_gen_time`
Log:
VCell CLI input archive /tmp/in/archive.omex
Sep 20, 2021 12:36:49 AM java.util.prefs.FileSystemPreferences$1 run
INFO: Created user preferences directory.
-----------------------------------------------------------------------------------------------------
TempPath Created: /tmp/vcell_temp_0ac830c9-4408-41ca-9aed-9dd4b68c1f618049486801628417660
Python 3.8.10
utilPath: /usr/local/app/vcell/installDir/python/vcell_cli_utils
cliUtilPath: /usr/local/app/vcell/installDir/python/vcell_cli_utils/vcell_cli_utils
cliPath: /usr/local/app/vcell/installDir/python/vcell_cli_utils/vcell_cli_utils/cli.py
statusPath: /usr/local/app/vcell/installDir/python/vcell_cli_utils/vcell_cli_utils/status.py
SED-ML version level not supported, import may fail
SED-ML version level not supported, import may fail
Unsupported version, import may fail
Found 1 SED-ML document(s) with 1 model(s), 1 simulation(s), 1 task(s), 0 report(s), 2 plot2D(s), and 0 plot3D(s)
Successful translation: SED-ML file BIOMD0000000912_sim.sedml
-----------------------------------------------------------------------------------------------------
name: BIOMD0000000912_sim
SED-ML version level not supported, import may fail
SED-ML version level not supported, import may fail
Unsupported version, import may fail
Model [id=BIOMD0000000912, name=Caravagna2010 - Tumour suppression by immune system, language=urn:sedml:language:sbml, src=Caravagna2010.xml]
UniformTimeCourse [initialTime=0.0, numberOfPoints=10, outputEndTime=2.0, outputStartTime=0.0, Algorithm [kisaoID=KISAO:0000019], getId()=BIOMD0000000912_sim]
Task [modelReference=BIOMD0000000912, name=Caravagna2010, simulationReference=BIOMD0000000912_sim, getId()=BIOMD0000000912_task]
DataGenerator [math=org.jmathml.ASTRootNode@51fadaff, name=time, getId()=data_gen_time]
DataGenerator [math=org.jmathml.ASTRootNode@401f7633, name=T, getId()=data_gen_T]
DataGenerator [math=org.jmathml.ASTRootNode@31ff43be, name=E, getId()=data_gen_E]
DataGenerator [math=org.jmathml.ASTRootNode@5b6ec132, name=I, getId()=data_gen_I]
Plot2D [listOfCurves=[Curve [id=curve_0, logX=false, logY=false, name=null, xDataReference=data_gen_time, yDataReference=data_gen_time], Curve [id=curve_2, logX=false, logY=false, name=null, xDataReference=data_gen_E, yDataReference=data_gen_E]], name=null]
Plot2D [listOfCurves=[Curve [id=curve_1, logX=false, logY=false, name=null, xDataReference=data_gen_T, yDataReference=data_gen_T], Curve [id=curve_3, logX=false, logY=false, name=null, xDataReference=data_gen_I, yDataReference=data_gen_I]], name=null]
org.jlibsedml.Report@903fe012
org.jlibsedml.Report@903fe013
SED-ML version level not supported, import may fail
SED-ML version level not supported, import may fail
Unsupported version, import may fail
Task (id='BIOMD0000000912_task') is compatible, solver match found in ontology: 'KISAO:0000019' matched to CVODE
SBML Import: no assignment rules.
SBML Import: no assignment rules.
LOGGER: msgLevel=MediumPriority, msgType=OverallWarning, Issues encountered during SBML Import:
- WARNING: The imported model has one or more reactions that have ids/names that are longer than 64 characters.
User is STRONGLY recommeded to shorten the names to avoid problems with the length of expressions these names might be used in.
Succesful model import: SBML file /tmp/temp8962240215965307900.xml
/tmp/out/BIOMD0000000912_sim.sedml
false
cbit.vcell.solver.ode.CVodeSolverStandalone@718607eb
Finished: SOLVER_FINISHED:completed
Succesful execution: Model 'archive__BIOMD0000000912' Task 'Caravagna2010'.
-----------------------------------------------------------------------------------------------------
Ignoring unsupported output `plot_0` while CSV generation.
Ignoring unsupported output `plot_1` while CSV generation.
Generating report `__plot__plot_0`.
Generating report `__plot__plot_1`.
HDF conversion successful
/usr/local/app/vcell/installDir/python/vcell_cli_utils/vcell_cli_utils/cli.py:409: DeprecationWarning: `np.float` is a deprecated alias for the builtin `float`. To silence this warning, use `float` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.float64` here.
Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations
np.float), y=df[data['y']].astype(np.float), ax=ax, label=curve)
/usr/local/app/vcell/installDir/python/vcell_cli_utils/vcell_cli_utils/cli.py:409: DeprecationWarning: `np.float` is a deprecated alias for the builtin `float`. To silence this warning, use `float` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.float64` here.
Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations
np.float), y=df[data['y']].astype(np.float), ax=ax, label=curve)
/usr/local/app/vcell/installDir/python/vcell_cli_utils/vcell_cli_utils/cli.py:409: DeprecationWarning: `np.float` is a deprecated alias for the builtin `float`. To silence this warning, use `float` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.float64` here.
Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations
np.float), y=df[data['y']].astype(np.float), ax=ax, label=curve)
/usr/local/app/vcell/installDir/python/vcell_cli_utils/vcell_cli_utils/cli.py:409: DeprecationWarning: `np.float` is a deprecated alias for the builtin `float`. To silence this warning, use `float` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.float64` here.
Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations
np.float), y=df[data['y']].astype(np.float), ax=ax, label=curve)
Archiving resultant PDF files to `plots.zip`.
Archiving resultant CSV files to `reports.zip`.
cli.CliDescribesSupportedEnvironmentVariablesInline
(1.4 s)Test that the inline help for a command-line interface describes the environment variables that the simulator supports.
Warnings:
The inline help for a command-line interface for a simulation tool should describe the environment variables that the simulation tool supports.
The command-line interface does not describe the following standard environment variables recognized by BioSimulators:
- 'ALGORITHM_SUBSTITUTION_POLICY'
- 'BUNDLE_OUTPUTS'
- 'COLLECT_COMBINE_ARCHIVE_RESULTS'
- 'COLLECT_SED_DOCUMENT_RESULTS'
- 'DEBUG'
- 'H5_REPORTS_PATH'
- 'KEEP_INDIVIDUAL_OUTPUTS'
- 'LOG_PATH'
- 'PLOTS_PATH'
- 'REPORTS_PATH'
- 'REPORT_FORMATS'
- 'SAVE_PLOT_DATA'
- 'VALIDATE_IMAGES'
- 'VALIDATE_OMEX_MANIFESTS'
- 'VALIDATE_OMEX_METADATA'
- 'VALIDATE_RESULTS'
- 'VALIDATE_SEDML'
- 'VALIDATE_SEDML_MODELS'
- 'VERBOSE'
- 'VIZ_FORMATS'
If the simulation tool implements these variables, they should be described in the inline help for its command-line interface.
Note, support for these environment variables is optional. Simulation tools are not required to support these variables.
Log:
docker_image.DeclaresSupportedEnvironmentVariables
(0.7 s)Test if a Docker image declares the environment variables that is supports
Warnings:
Docker images for simulation tools should declare the environment variables that they support.
The Docker image does not declare the following standard environment variables recognized by BioSimulators:
- 'BUNDLE_OUTPUTS'
- 'COLLECT_COMBINE_ARCHIVE_RESULTS'
- 'COLLECT_SED_DOCUMENT_RESULTS'
- 'DEBUG'
- 'H5_REPORTS_PATH'
- 'KEEP_INDIVIDUAL_OUTPUTS'
- 'LOG_PATH'
- 'PLOTS_PATH'
- 'REPORTS_PATH'
- 'REPORT_FORMATS'
- 'SAVE_PLOT_DATA'
- 'VALIDATE_IMAGES'
- 'VALIDATE_OMEX_MANIFESTS'
- 'VALIDATE_OMEX_METADATA'
- 'VALIDATE_RESULTS'
- 'VALIDATE_SEDML'
- 'VALIDATE_SEDML_MODELS'
- 'VERBOSE'
- 'VIZ_FORMATS'
If the simulation tool implements these variables, they should be declared in the Dockerfile for the Docker image for the simulator.
Note, support for these environment variables is optional. Simulation tools are not required to support these variables.
Log:
docker_image.HasBioContainersLabels
(0.5 s)Test that a Docker image has BioContainers labels with metadata about the image
Warnings:
The Docker image should have the following BioContainers labels:
extra.identifiers.biotools
Log:
docker_image.HasOciLabels
(0.5 s)Test that a Docker image has Open Container Initiative (OCI) labels with metadata about the image
Warnings:
The Docker image should have the following Open Container Initiative (OCI) labels:
org.opencontainers.image.created
org.opencontainers.image.revision
Log:
published_project.SimulatorCanExecutePublishedProject:sbml-core/Caravagna-J-Theor-Biol-2010-tumor-suppressive-oscillations
(17.2 s)Required model formats and simulation algorithms for SED tasks:
Format: format_2585
Algorithm: KISAO_0000019
Warnings:
Unexpected reports were produced:
BIOMD0000000912_sim.sedml/Figure_1_bottom_left
Plots were not produced:
BIOMD0000000912_sim.sedml/plot_1
Extra plots were produced:
BIOMD0000000912_sim.sedml/Figure_1_bottom_left
Log:
VCell CLI input archive /tmp/in/Caravagna-J-Theor-Biol-2010-tumor-suppressive-oscillations.omex
Sep 20, 2021 12:41:18 AM java.util.prefs.FileSystemPreferences$1 run
INFO: Created user preferences directory.
-----------------------------------------------------------------------------------------------------
TempPath Created: /tmp/vcell_temp_c00be408-f8d6-4fd4-a9df-61d15b300b308888750152781320167
Python 3.8.10
utilPath: /usr/local/app/vcell/installDir/python/vcell_cli_utils
cliUtilPath: /usr/local/app/vcell/installDir/python/vcell_cli_utils/vcell_cli_utils
cliPath: /usr/local/app/vcell/installDir/python/vcell_cli_utils/vcell_cli_utils/cli.py
statusPath: /usr/local/app/vcell/installDir/python/vcell_cli_utils/vcell_cli_utils/status.py
SED-ML version level not supported, import may fail
SED-ML version level not supported, import may fail
Unsupported version, import may fail
Found 1 SED-ML document(s) with 1 model(s), 1 simulation(s), 1 task(s), 1 report(s), 1 plot2D(s), and 0 plot3D(s)
Successful translation: SED-ML file BIOMD0000000912_sim.sedml
-----------------------------------------------------------------------------------------------------
name: BIOMD0000000912_sim
SED-ML version level not supported, import may fail
SED-ML version level not supported, import may fail
Unsupported version, import may fail
Model [id=BIOMD0000000912, name=Caravagna2010 - Tumour suppression by immune system, language=urn:sedml:language:sbml, src=Caravagna2010.xml]
UniformTimeCourse [initialTime=0.0, numberOfPoints=5000, outputEndTime=1000.0, outputStartTime=0.0, Algorithm [kisaoID=KISAO:0000019], getId()=BIOMD0000000912_sim]
Task [modelReference=BIOMD0000000912, name=Caravagna2010, simulationReference=BIOMD0000000912_sim, getId()=BIOMD0000000912_task]
DataGenerator [math=org.jmathml.ASTRootNode@31ff43be, name=time, getId()=data_gen_time]
DataGenerator [math=org.jmathml.ASTRootNode@5b6ec132, name=T, getId()=data_gen_T]
DataGenerator [math=org.jmathml.ASTRootNode@5c44c582, name=E, getId()=data_gen_E]
DataGenerator [math=org.jmathml.ASTRootNode@67d18ed7, name=I, getId()=data_gen_I]
Plot2D [listOfCurves=[Curve [id=plot_1_T_time, logX=false, logY=false, name=T, xDataReference=data_gen_time, yDataReference=data_gen_T], Curve [id=plot_1_E_time, logX=false, logY=false, name=E, xDataReference=data_gen_time, yDataReference=data_gen_E], Curve [id=plot_1_I_time, logX=false, logY=false, name=I, xDataReference=data_gen_time, yDataReference=data_gen_I]], name=Figure 1 bottom, left]
org.jlibsedml.Report@c84c5553
org.jlibsedml.Report@6ca13e92
SED-ML version level not supported, import may fail
SED-ML version level not supported, import may fail
Unsupported version, import may fail
Task (id='BIOMD0000000912_task') is compatible, solver match found in ontology: 'KISAO:0000019' matched to CVODE
SBML Import: no assignment rules.
SBML Import: no assignment rules.
LOGGER: msgLevel=MediumPriority, msgType=OverallWarning, Issues encountered during SBML Import:
WARNING: The imported model has one or more reactions that have ids/names that are longer than 64 characters.
User is STRONGLY recommeded to shorten the names to avoid problems with the length of expressions these names might be used in.
Succesful model import: SBML file /tmp/temp9181709269078399932.xml
/tmp/out/BIOMD0000000912_sim.sedml
false
cbit.vcell.solver.ode.CVodeSolverStandalone@46b695ec
Finished: SOLVER_FINISHED:completed
Succesful execution: Model 'Caravagna-J-Theor-Biol-2010-tumor-suppressive-oscillations__BIOMD0000000912' Task 'Caravagna2010'.
Ignoring unsupported output Figure_1_bottom_left
while CSV generation.
Generating report report
.
Generating report __plot__Figure_1_bottom_left
.
report : /tmp/out/./BIOMD0000000912_sim.sedml/report.csv
HDF conversion successful
/usr/local/app/vcell/installDir/python/vcell_cli_utils/vcell_cli_utils/cli.py:409: DeprecationWarning: np.float
is a deprecated alias for the builtin float
. To silence this warning, use float
by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use np.float64
here.
Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations
np.float), y=df[data['y']].astype(np.float), ax=ax, label=curve)
/usr/local/app/vcell/installDir/python/vcell_cli_utils/vcell_cli_utils/cli.py:409: DeprecationWarning: np.float
is a deprecated alias for the builtin float
. To silence this warning, use float
by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use np.float64
here.
Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations
np.float), y=df[data['y']].astype(np.float), ax=ax, label=curve)
/usr/local/app/vcell/installDir/python/vcell_cli_utils/vcell_cli_utils/cli.py:409: DeprecationWarning: np.float
is a deprecated alias for the builtin float
. To silence this warning, use float
by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use np.float64
here.
Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations
np.float), y=df[data['y']].astype(np.float), ax=ax, label=curve)
Archiving resultant PDF files to plots.zip
.
Archiving resultant CSV files to reports.zip
.
### `published_project.SimulatorCanExecutePublishedProject:sbml-core/Ciliberto-J-Cell-Biol-2003-morphogenesis-checkpoint-Fehlberg` (45.0 s)
Required model formats and simulation algorithms for SED tasks:
Format: format_2585
Algorithm: KISAO_0000086
Warnings:
Unexpected reports were produced:
simulation_1.sedml/Figure_3a
simulation_1.sedml/Figure_3b
simulation_1.sedml/Figure_3c
simulation_1.sedml/Figure_3d
Plots were not produced:
simulation.sedml/Figure_3a
simulation.sedml/Figure_3b
simulation.sedml/Figure_3c
simulation.sedml/Figure_3d
Extra plots were produced:
simulation_1.sedml/Figure_3a
simulation_1.sedml/Figure_3b
simulation_1.sedml/Figure_3c
simulation_1.sedml/Figure_3d
Log:
VCell CLI input archive /tmp/in/Ciliberto-J-Cell-Biol-2003-morphogenesis-checkpoint-Fehlberg.omex
Sep 20, 2021 12:41:36 AM java.util.prefs.FileSystemPreferences$1 run
INFO: Created user preferences directory.
-----------------------------------------------------------------------------------------------------
TempPath Created: /tmp/vcell_temp_18518310-7938-4eba-86f1-b538f3a776fe4251412601027490372
Python 3.8.10
utilPath: /usr/local/app/vcell/installDir/python/vcell_cli_utils
cliUtilPath: /usr/local/app/vcell/installDir/python/vcell_cli_utils/vcell_cli_utils
cliPath: /usr/local/app/vcell/installDir/python/vcell_cli_utils/vcell_cli_utils/cli.py
statusPath: /usr/local/app/vcell/installDir/python/vcell_cli_utils/vcell_cli_utils/status.py
SED-ML version level not supported, import may fail
SED-ML version level not supported, import may fail
Unsupported version, import may fail
Found 1 SED-ML document(s) with 1 model(s), 1 simulation(s), 1 task(s), 1 report(s), 4 plot2D(s), and 0 plot3D(s)
Successful translation: SED-ML file simulation_1.sedml
-----------------------------------------------------------------------------------------------------
name: simulation_1
SED-ML version level not supported, import may fail
SED-ML version level not supported, import may fail
Unsupported version, import may fail
Model [id=Ciliberto2003_Morphogenesis, name=Ciliberto2003_Morphogenesis_Checkpoint, language=urn:sedml:language:sbml, src=BIOMD0000000297_url.xml]
UniformTimeCourse [initialTime=0.0, numberOfPoints=200, outputEndTime=140.0, outputStartTime=0.0, Algorithm [kisaoID=KISAO:0000086], getId()=simulation_1]
Task [modelReference=Ciliberto2003_Morphogenesis, name=simulation 1, simulationReference=simulation_1, getId()=task_1]
DataGenerator [math=org.jmathml.ASTRootNode@3fc9504b, name=time, getId()=data_gen_time]
DataGenerator [math=org.jmathml.ASTRootNode@6d025197, name=Trim, getId()=data_gen_Trim]
DataGenerator [math=org.jmathml.ASTRootNode@27d4a09, name=Clb, getId()=data_gen_Clb]
DataGenerator [math=org.jmathml.ASTRootNode@7e4204e2, name=Sic, getId()=data_gen_Sic]
DataGenerator [math=org.jmathml.ASTRootNode@b7c4869, name=PTrim, getId()=data_gen_PTrim]
DataGenerator [math=org.jmathml.ASTRootNode@740d2e78, name=PClb, getId()=data_gen_PClb]
DataGenerator [math=org.jmathml.ASTRootNode@1c481ff2, name=SBF, getId()=data_gen_SBF]
DataGenerator [math=org.jmathml.ASTRootNode@72437d8d, name=IE, getId()=data_gen_IE]
DataGenerator [math=org.jmathml.ASTRootNode@1b955cac, name=Cdc20a, getId()=data_gen_Cdc20a]
DataGenerator [math=org.jmathml.ASTRootNode@676cf48, name=Cdc20, getId()=data_gen_Cdc20]
DataGenerator [math=org.jmathml.ASTRootNode@5a1de7fb, name=Cdh1, getId()=data_gen_Cdh1]
DataGenerator [math=org.jmathml.ASTRootNode@335b5620, name=Swe1, getId()=data_gen_Swe1]
DataGenerator [math=org.jmathml.ASTRootNode@29a0cdb, name=Swe1M, getId()=data_gen_Swe1M]
DataGenerator [math=org.jmathml.ASTRootNode@32a68f4f, name=PSwe1, getId()=data_gen_PSwe1]
DataGenerator [math=org.jmathml.ASTRootNode@73194df, name=PSwe1M, getId()=data_gen_PSwe1M]
DataGenerator [math=org.jmathml.ASTRootNode@6eb2384f, name=Mih1a, getId()=data_gen_Mih1a]
DataGenerator [math=org.jmathml.ASTRootNode@3c9c0d96, name=Mcm, getId()=data_gen_Mcm]
DataGenerator [math=org.jmathml.ASTRootNode@3a4621bd, name=BE, getId()=data_gen_BE]
DataGenerator [math=org.jmathml.ASTRootNode@31dadd46, name=Cln, getId()=data_gen_Cln]
DataGenerator [math=org.jmathml.ASTRootNode@4ed5eb72, name=mass, getId()=data_gen_mass]
DataGenerator [math=org.jmathml.ASTRootNode@12f9af83, name=Swe1T, getId()=data_gen_Swe1T]
Plot2D [listOfCurves=[Curve [id=curve_Figure_3a_Sic, logX=false, logY=false, name=Sic1, xDataReference=data_gen_time, yDataReference=data_gen_Sic], Curve [id=curve_Figure_3a_SBF, logX=false, logY=false, name=SBF, xDataReference=data_gen_time, yDataReference=data_gen_SBF], Curve [id=curve_Figure_3a_Clb, logX=false, logY=false, name=Clb2, xDataReference=data_gen_time, yDataReference=data_gen_Clb], Curve [id=curve_Figure_3a_Cln, logX=false, logY=false, name=Cln, xDataReference=data_gen_time, yDataReference=data_gen_Cln]], name=Figure 3a]
Plot2D [listOfCurves=[Curve [id=curve_Figure_3b_Cdc20a, logX=false, logY=false, name=Activated Cdc20, xDataReference=data_gen_time, yDataReference=data_gen_Cdc20a], Curve [id=curve_Figure_3b_Cdh1, logX=false, logY=false, name=Cdh1, xDataReference=data_gen_time, yDataReference=data_gen_Cdh1], Curve [id=curve_Figure_3b_Clb, logX=false, logY=false, name=Clb2, xDataReference=data_gen_time, yDataReference=data_gen_Clb], Curve [id=curve_Figure_3b_IE, logX=false, logY=false, name=Intermediary enzyme, xDataReference=data_gen_time, yDataReference=data_gen_IE]], name=Figure 3b]
Plot2D [listOfCurves=[Curve [id=curve_Figure_3c_Swe1, logX=false, logY=false, name=Swe1, xDataReference=data_gen_time, yDataReference=data_gen_Swe1], Curve [id=curve_Figure_3c_Swe1M, logX=false, logY=false, name=Modified Swe1, xDataReference=data_gen_time, yDataReference=data_gen_Swe1M], Curve [id=curve_Figure_3c_Swe1T, logX=false, logY=false, name=Total Swe1, xDataReference=data_gen_time, yDataReference=data_gen_Swe1T], Curve [id=curve_Figure_3c_PSwe1M, logX=false, logY=false, name=Phosphorylated, modified Swe1, xDataReference=data_gen_time, yDataReference=data_gen_PSwe1M]], name=Figure 3c]
Plot2D [listOfCurves=[Curve [id=curve_Figure_3d_mass, logX=false, logY=false, name=Mass, xDataReference=data_gen_time, yDataReference=data_gen_mass]], name=Figure 3d]
org.jlibsedml.Report@c84c5553
org.jlibsedml.Report@49f8ba87
org.jlibsedml.Report@49f8ba88
org.jlibsedml.Report@49f8ba89
org.jlibsedml.Report@49f8ba8a
SED-ML version level not supported, import may fail
SED-ML version level not supported, import may fail
Unsupported version, import may fail
Task (id='task_1') is compatible, solver match found in ontology: 'KISAO:0000086' matched to RungeKuttaFehlberg
Succesful model import: SBML file /tmp/temp4060993617453143039.xml
final tolerance=0.1 final threshold=0.060000000000000005, 552 remaining (keepAtMost=1000)
Succesful execution: Model 'Ciliberto-J-Cell-Biol-2003-morphogenesis-checkpoint-Fehlberg__Ciliberto2003_Morphogenesis' Task 'simulation 1'.
-----------------------------------------------------------------------------------------------------
Ignoring unsupported output `Figure_3a` while CSV generation.
Ignoring unsupported output `Figure_3b` while CSV generation.
Ignoring unsupported output `Figure_3c` while CSV generation.
Ignoring unsupported output `Figure_3d` while CSV generation.
Generating report `report`.
Generating report `__plot__Figure_3a`.
Generating report `__plot__Figure_3b`.
Generating report `__plot__Figure_3c`.
Generating report `__plot__Figure_3d`.
report : /tmp/out/./simulation_1.sedml/report.csv
HDF conversion successful
/usr/local/app/vcell/installDir/python/vcell_cli_utils/vcell_cli_utils/cli.py:409: DeprecationWarning: `np.float` is a deprecated alias for the builtin `float`. To silence this warning, use `float` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.float64` here.
Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations
np.float), y=df[data['y']].astype(np.float), ax=ax, label=curve)
/usr/local/app/vcell/installDir/python/vcell_cli_utils/vcell_cli_utils/cli.py:409: DeprecationWarning: `np.float` is a deprecated alias for the builtin `float`. To silence this warning, use `float` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.float64` here.
Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations
np.float), y=df[data['y']].astype(np.float), ax=ax, label=curve)
/usr/local/app/vcell/installDir/python/vcell_cli_utils/vcell_cli_utils/cli.py:409: DeprecationWarning: `np.float` is a deprecated alias for the builtin `float`. To silence this warning, use `float` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.float64` here.
Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations
np.float), y=df[data['y']].astype(np.float), ax=ax, label=curve)
/usr/local/app/vcell/installDir/python/vcell_cli_utils/vcell_cli_utils/cli.py:409: DeprecationWarning: `np.float` is a deprecated alias for the builtin `float`. To silence this warning, use `float` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.float64` here.
Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations
np.float), y=df[data['y']].astype(np.float), ax=ax, label=curve)
/usr/local/app/vcell/installDir/python/vcell_cli_utils/vcell_cli_utils/cli.py:409: DeprecationWarning: `np.float` is a deprecated alias for the builtin `float`. To silence this warning, use `float` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.float64` here.
Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations
np.float), y=df[data['y']].astype(np.float), ax=ax, label=curve)
/usr/local/app/vcell/installDir/python/vcell_cli_utils/vcell_cli_utils/cli.py:409: DeprecationWarning: `np.float` is a deprecated alias for the builtin `float`. To silence this warning, use `float` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.float64` here.
Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations
np.float), y=df[data['y']].astype(np.float), ax=ax, label=curve)
/usr/local/app/vcell/installDir/python/vcell_cli_utils/vcell_cli_utils/cli.py:409: DeprecationWarning: `np.float` is a deprecated alias for the builtin `float`. To silence this warning, use `float` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.float64` here.
Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations
np.float), y=df[data['y']].astype(np.float), ax=ax, label=curve)
/usr/local/app/vcell/installDir/python/vcell_cli_utils/vcell_cli_utils/cli.py:409: DeprecationWarning: `np.float` is a deprecated alias for the builtin `float`. To silence this warning, use `float` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.float64` here.
Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations
np.float), y=df[data['y']].astype(np.float), ax=ax, label=curve)
/usr/local/app/vcell/installDir/python/vcell_cli_utils/vcell_cli_utils/cli.py:409: DeprecationWarning: `np.float` is a deprecated alias for the builtin `float`. To silence this warning, use `float` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.float64` here.
Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations
np.float), y=df[data['y']].astype(np.float), ax=ax, label=curve)
/usr/local/app/vcell/installDir/python/vcell_cli_utils/vcell_cli_utils/cli.py:409: DeprecationWarning: `np.float` is a deprecated alias for the builtin `float`. To silence this warning, use `float` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.float64` here.
Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations
np.float), y=df[data['y']].astype(np.float), ax=ax, label=curve)
/usr/local/app/vcell/installDir/python/vcell_cli_utils/vcell_cli_utils/cli.py:409: DeprecationWarning: `np.float` is a deprecated alias for the builtin `float`. To silence this warning, use `float` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.float64` here.
Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations
np.float), y=df[data['y']].astype(np.float), ax=ax, label=curve)
/usr/local/app/vcell/installDir/python/vcell_cli_utils/vcell_cli_utils/cli.py:409: DeprecationWarning: `np.float` is a deprecated alias for the builtin `float`. To silence this warning, use `float` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.float64` here.
Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations
np.float), y=df[data['y']].astype(np.float), ax=ax, label=curve)
/usr/local/app/vcell/installDir/python/vcell_cli_utils/vcell_cli_utils/cli.py:409: DeprecationWarning: `np.float` is a deprecated alias for the builtin `float`. To silence this warning, use `float` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.float64` here.
Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations
np.float), y=df[data['y']].astype(np.float), ax=ax, label=curve)
Archiving resultant PDF files to `plots.zip`.
Archiving resultant CSV files to `reports.zip`.
published_project.SimulatorCanExecutePublishedProject:sbml-core/Ciliberto-J-Cell-Biol-2003-morphogenesis-checkpoint-continuous
(44.1 s)Required model formats and simulation algorithms for SED tasks:
Format: format_2585
Algorithm: KISAO_0000019
Warnings:
Unexpected reports were produced:
simulation_1.sedml/Figure_3a
simulation_1.sedml/Figure_3b
simulation_1.sedml/Figure_3c
simulation_1.sedml/Figure_3d
Plots were not produced:
simulation.sedml/Figure_3a
simulation.sedml/Figure_3b
simulation.sedml/Figure_3c
simulation.sedml/Figure_3d
Extra plots were produced:
simulation_1.sedml/Figure_3a
simulation_1.sedml/Figure_3b
simulation_1.sedml/Figure_3c
simulation_1.sedml/Figure_3d
Log:
VCell CLI input archive /tmp/in/Ciliberto-J-Cell-Biol-2003-morphogenesis-checkpoint-continuous.omex
Sep 20, 2021 12:42:21 AM java.util.prefs.FileSystemPreferences$1 run
INFO: Created user preferences directory.
-----------------------------------------------------------------------------------------------------
TempPath Created: /tmp/vcell_temp_520fd230-0e05-41df-aca4-d48328a412429108228484330064450
Python 3.8.10
utilPath: /usr/local/app/vcell/installDir/python/vcell_cli_utils
cliUtilPath: /usr/local/app/vcell/installDir/python/vcell_cli_utils/vcell_cli_utils
cliPath: /usr/local/app/vcell/installDir/python/vcell_cli_utils/vcell_cli_utils/cli.py
statusPath: /usr/local/app/vcell/installDir/python/vcell_cli_utils/vcell_cli_utils/status.py
SED-ML version level not supported, import may fail
SED-ML version level not supported, import may fail
Unsupported version, import may fail
Found 1 SED-ML document(s) with 1 model(s), 1 simulation(s), 1 task(s), 1 report(s), 4 plot2D(s), and 0 plot3D(s)
Successful translation: SED-ML file simulation_1.sedml
-----------------------------------------------------------------------------------------------------
name: simulation_1
SED-ML version level not supported, import may fail
SED-ML version level not supported, import may fail
Unsupported version, import may fail
Model [id=Ciliberto2003_Morphogenesis, name=Ciliberto2003_Morphogenesis_Checkpoint, language=urn:sedml:language:sbml, src=BIOMD0000000297_url.xml]
UniformTimeCourse [initialTime=0.0, numberOfPoints=200, outputEndTime=140.0, outputStartTime=0.0, Algorithm [kisaoID=KISAO:0000019], getId()=simulation_1]
Task [modelReference=Ciliberto2003_Morphogenesis, name=simulation 1, simulationReference=simulation_1, getId()=task_1]
DataGenerator [math=org.jmathml.ASTRootNode@3fc9504b, name=time, getId()=data_gen_time]
DataGenerator [math=org.jmathml.ASTRootNode@6d025197, name=Trim, getId()=data_gen_Trim]
DataGenerator [math=org.jmathml.ASTRootNode@27d4a09, name=Clb, getId()=data_gen_Clb]
DataGenerator [math=org.jmathml.ASTRootNode@7e4204e2, name=Sic, getId()=data_gen_Sic]
DataGenerator [math=org.jmathml.ASTRootNode@b7c4869, name=PTrim, getId()=data_gen_PTrim]
DataGenerator [math=org.jmathml.ASTRootNode@740d2e78, name=PClb, getId()=data_gen_PClb]
DataGenerator [math=org.jmathml.ASTRootNode@1c481ff2, name=SBF, getId()=data_gen_SBF]
DataGenerator [math=org.jmathml.ASTRootNode@72437d8d, name=IE, getId()=data_gen_IE]
DataGenerator [math=org.jmathml.ASTRootNode@1b955cac, name=Cdc20a, getId()=data_gen_Cdc20a]
DataGenerator [math=org.jmathml.ASTRootNode@676cf48, name=Cdc20, getId()=data_gen_Cdc20]
DataGenerator [math=org.jmathml.ASTRootNode@5a1de7fb, name=Cdh1, getId()=data_gen_Cdh1]
DataGenerator [math=org.jmathml.ASTRootNode@335b5620, name=Swe1, getId()=data_gen_Swe1]
DataGenerator [math=org.jmathml.ASTRootNode@29a0cdb, name=Swe1M, getId()=data_gen_Swe1M]
DataGenerator [math=org.jmathml.ASTRootNode@32a68f4f, name=PSwe1, getId()=data_gen_PSwe1]
DataGenerator [math=org.jmathml.ASTRootNode@73194df, name=PSwe1M, getId()=data_gen_PSwe1M]
DataGenerator [math=org.jmathml.ASTRootNode@6eb2384f, name=Mih1a, getId()=data_gen_Mih1a]
DataGenerator [math=org.jmathml.ASTRootNode@3c9c0d96, name=Mcm, getId()=data_gen_Mcm]
DataGenerator [math=org.jmathml.ASTRootNode@3a4621bd, name=BE, getId()=data_gen_BE]
DataGenerator [math=org.jmathml.ASTRootNode@31dadd46, name=Cln, getId()=data_gen_Cln]
DataGenerator [math=org.jmathml.ASTRootNode@4ed5eb72, name=mass, getId()=data_gen_mass]
DataGenerator [math=org.jmathml.ASTRootNode@12f9af83, name=Swe1T, getId()=data_gen_Swe1T]
Plot2D [listOfCurves=[Curve [id=curve_Figure_3a_Sic, logX=false, logY=false, name=Sic1, xDataReference=data_gen_time, yDataReference=data_gen_Sic], Curve [id=curve_Figure_3a_SBF, logX=false, logY=false, name=SBF, xDataReference=data_gen_time, yDataReference=data_gen_SBF], Curve [id=curve_Figure_3a_Clb, logX=false, logY=false, name=Clb2, xDataReference=data_gen_time, yDataReference=data_gen_Clb], Curve [id=curve_Figure_3a_Cln, logX=false, logY=false, name=Cln, xDataReference=data_gen_time, yDataReference=data_gen_Cln]], name=Figure 3a]
Plot2D [listOfCurves=[Curve [id=curve_Figure_3b_Cdc20a, logX=false, logY=false, name=Activated Cdc20, xDataReference=data_gen_time, yDataReference=data_gen_Cdc20a], Curve [id=curve_Figure_3b_Cdh1, logX=false, logY=false, name=Cdh1, xDataReference=data_gen_time, yDataReference=data_gen_Cdh1], Curve [id=curve_Figure_3b_Clb, logX=false, logY=false, name=Clb2, xDataReference=data_gen_time, yDataReference=data_gen_Clb], Curve [id=curve_Figure_3b_IE, logX=false, logY=false, name=Intermediary enzyme, xDataReference=data_gen_time, yDataReference=data_gen_IE]], name=Figure 3b]
Plot2D [listOfCurves=[Curve [id=curve_Figure_3c_Swe1, logX=false, logY=false, name=Swe1, xDataReference=data_gen_time, yDataReference=data_gen_Swe1], Curve [id=curve_Figure_3c_Swe1M, logX=false, logY=false, name=Modified Swe1, xDataReference=data_gen_time, yDataReference=data_gen_Swe1M], Curve [id=curve_Figure_3c_Swe1T, logX=false, logY=false, name=Total Swe1, xDataReference=data_gen_time, yDataReference=data_gen_Swe1T], Curve [id=curve_Figure_3c_PSwe1M, logX=false, logY=false, name=Phosphorylated, modified Swe1, xDataReference=data_gen_time, yDataReference=data_gen_PSwe1M]], name=Figure 3c]
Plot2D [listOfCurves=[Curve [id=curve_Figure_3d_mass, logX=false, logY=false, name=Mass, xDataReference=data_gen_time, yDataReference=data_gen_mass]], name=Figure 3d]
org.jlibsedml.Report@c84c5553
org.jlibsedml.Report@49f8ba87
org.jlibsedml.Report@49f8ba88
org.jlibsedml.Report@49f8ba89
org.jlibsedml.Report@49f8ba8a
SED-ML version level not supported, import may fail
SED-ML version level not supported, import may fail
Unsupported version, import may fail
Task (id='task_1') is compatible, solver match found in ontology: 'KISAO:0000019' matched to CVODE
Succesful model import: SBML file /tmp/temp4446981040290322191.xml
/tmp/out/simulation_1.sedml
false
cbit.vcell.solver.ode.CVodeSolverStandalone@5d5a51b1
Finished: SOLVER_FINISHED:completed
Succesful execution: Model 'Ciliberto-J-Cell-Biol-2003-morphogenesis-checkpoint-continuous__Ciliberto2003_Morphogenesis' Task 'simulation 1'.
-----------------------------------------------------------------------------------------------------
Ignoring unsupported output `Figure_3a` while CSV generation.
Ignoring unsupported output `Figure_3b` while CSV generation.
Ignoring unsupported output `Figure_3c` while CSV generation.
Ignoring unsupported output `Figure_3d` while CSV generation.
Generating report `report`.
Generating report `__plot__Figure_3a`.
Generating report `__plot__Figure_3b`.
Generating report `__plot__Figure_3c`.
Generating report `__plot__Figure_3d`.
report : /tmp/out/./simulation_1.sedml/report.csv
HDF conversion successful
/usr/local/app/vcell/installDir/python/vcell_cli_utils/vcell_cli_utils/cli.py:409: DeprecationWarning: `np.float` is a deprecated alias for the builtin `float`. To silence this warning, use `float` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.float64` here.
Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations
np.float), y=df[data['y']].astype(np.float), ax=ax, label=curve)
/usr/local/app/vcell/installDir/python/vcell_cli_utils/vcell_cli_utils/cli.py:409: DeprecationWarning: `np.float` is a deprecated alias for the builtin `float`. To silence this warning, use `float` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.float64` here.
Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations
np.float), y=df[data['y']].astype(np.float), ax=ax, label=curve)
/usr/local/app/vcell/installDir/python/vcell_cli_utils/vcell_cli_utils/cli.py:409: DeprecationWarning: `np.float` is a deprecated alias for the builtin `float`. To silence this warning, use `float` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.float64` here.
Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations
np.float), y=df[data['y']].astype(np.float), ax=ax, label=curve)
/usr/local/app/vcell/installDir/python/vcell_cli_utils/vcell_cli_utils/cli.py:409: DeprecationWarning: `np.float` is a deprecated alias for the builtin `float`. To silence this warning, use `float` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.float64` here.
Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations
np.float), y=df[data['y']].astype(np.float), ax=ax, label=curve)
/usr/local/app/vcell/installDir/python/vcell_cli_utils/vcell_cli_utils/cli.py:409: DeprecationWarning: `np.float` is a deprecated alias for the builtin `float`. To silence this warning, use `float` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.float64` here.
Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations
np.float), y=df[data['y']].astype(np.float), ax=ax, label=curve)
/usr/local/app/vcell/installDir/python/vcell_cli_utils/vcell_cli_utils/cli.py:409: DeprecationWarning: `np.float` is a deprecated alias for the builtin `float`. To silence this warning, use `float` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.float64` here.
Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations
np.float), y=df[data['y']].astype(np.float), ax=ax, label=curve)
/usr/local/app/vcell/installDir/python/vcell_cli_utils/vcell_cli_utils/cli.py:409: DeprecationWarning: `np.float` is a deprecated alias for the builtin `float`. To silence this warning, use `float` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.float64` here.
Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations
np.float), y=df[data['y']].astype(np.float), ax=ax, label=curve)
/usr/local/app/vcell/installDir/python/vcell_cli_utils/vcell_cli_utils/cli.py:409: DeprecationWarning: `np.float` is a deprecated alias for the builtin `float`. To silence this warning, use `float` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.float64` here.
Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations
np.float), y=df[data['y']].astype(np.float), ax=ax, label=curve)
/usr/local/app/vcell/installDir/python/vcell_cli_utils/vcell_cli_utils/cli.py:409: DeprecationWarning: `np.float` is a deprecated alias for the builtin `float`. To silence this warning, use `float` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.float64` here.
Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations
np.float), y=df[data['y']].astype(np.float), ax=ax, label=curve)
/usr/local/app/vcell/installDir/python/vcell_cli_utils/vcell_cli_utils/cli.py:409: DeprecationWarning: `np.float` is a deprecated alias for the builtin `float`. To silence this warning, use `float` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.float64` here.
Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations
np.float), y=df[data['y']].astype(np.float), ax=ax, label=curve)
/usr/local/app/vcell/installDir/python/vcell_cli_utils/vcell_cli_utils/cli.py:409: DeprecationWarning: `np.float` is a deprecated alias for the builtin `float`. To silence this warning, use `float` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.float64` here.
Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations
np.float), y=df[data['y']].astype(np.float), ax=ax, label=curve)
/usr/local/app/vcell/installDir/python/vcell_cli_utils/vcell_cli_utils/cli.py:409: DeprecationWarning: `np.float` is a deprecated alias for the builtin `float`. To silence this warning, use `float` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.float64` here.
Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations
np.float), y=df[data['y']].astype(np.float), ax=ax, label=curve)
/usr/local/app/vcell/installDir/python/vcell_cli_utils/vcell_cli_utils/cli.py:409: DeprecationWarning: `np.float` is a deprecated alias for the builtin `float`. To silence this warning, use `float` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.float64` here.
Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations
np.float), y=df[data['y']].astype(np.float), ax=ax, label=curve)
Archiving resultant PDF files to `plots.zip`.
Archiving resultant CSV files to `reports.zip`.
published_project.SimulatorCanExecutePublishedProject:sbml-core/Elowitz-Nature-2000-Repressilator
(18.0 s)Required model formats and simulation algorithms for SED tasks:
Format: format_2585
Algorithm: KISAO_0000019
Warnings:
Unexpected reports were produced:
simulation.sedml/Figure_1c
Log:
VCell CLI input archive /tmp/in/Elowitz-Nature-2000-Repressilator.omex
Sep 20, 2021 12:43:05 AM java.util.prefs.FileSystemPreferences$1 run
INFO: Created user preferences directory.
-----------------------------------------------------------------------------------------------------
TempPath Created: /tmp/vcell_temp_4bdd9333-096c-47ea-8cff-d54569c009326265345533482539299
Python 3.8.10
utilPath: /usr/local/app/vcell/installDir/python/vcell_cli_utils
cliUtilPath: /usr/local/app/vcell/installDir/python/vcell_cli_utils/vcell_cli_utils
cliPath: /usr/local/app/vcell/installDir/python/vcell_cli_utils/vcell_cli_utils/cli.py
statusPath: /usr/local/app/vcell/installDir/python/vcell_cli_utils/vcell_cli_utils/status.py
SED-ML version level not supported, import may fail
SED-ML version level not supported, import may fail
Unsupported version, import may fail
Found 1 SED-ML document(s) with 1 model(s), 1 simulation(s), 1 task(s), 1 report(s), 1 plot2D(s), and 0 plot3D(s)
Successful translation: SED-ML file simulation.sedml
-----------------------------------------------------------------------------------------------------
name: simulation
SED-ML version level not supported, import may fail
SED-ML version level not supported, import may fail
Unsupported version, import may fail
Model [id=model, name=null, language=urn:sedml:language:sbml, src=BIOMD0000000012_url.xml]
UniformTimeCourse [initialTime=0.0, numberOfPoints=600, outputEndTime=1000.0, outputStartTime=400.0, Algorithm [kisaoID=KISAO:0000019], getId()=simulation]
Task [modelReference=model, name=null, simulationReference=simulation, getId()=task]
DataGenerator [math=org.jmathml.ASTRootNode@8576fa0, name=time, getId()=data_gen_time]
DataGenerator [math=org.jmathml.ASTRootNode@7582ff54, name=LacI protein, getId()=data_gen_px]
DataGenerator [math=org.jmathml.ASTRootNode@67545b57, name=TetR protein, getId()=data_gen_py]
DataGenerator [math=org.jmathml.ASTRootNode@6c2c1385, name=cI protein, getId()=data_gen_pz]
DataGenerator [math=org.jmathml.ASTRootNode@5f354bcf, name=LacI mRNA, getId()=data_gen_x]
DataGenerator [math=org.jmathml.ASTRootNode@3daf7722, name=TetR mRNA, getId()=data_gen_y]
DataGenerator [math=org.jmathml.ASTRootNode@78641d23, name=cI mRNA, getId()=data_gen_z]
Plot2D [listOfCurves=[Curve [id=Figure_1c_laci_protein, logX=false, logY=false, name=LacI protein, xDataReference=data_gen_time, yDataReference=data_gen_px], Curve [id=Figure_1c_tetr_protein, logX=false, logY=false, name=TetR protein, xDataReference=data_gen_time, yDataReference=data_gen_py], Curve [id=Figure_1c_ci_protein, logX=false, logY=false, name=cI protein, xDataReference=data_gen_time, yDataReference=data_gen_pz]], name=Figure 1c]
org.jlibsedml.Report@c84c5553
org.jlibsedml.Report@49f8ba4b
SED-ML version level not supported, import may fail
SED-ML version level not supported, import may fail
Unsupported version, import may fail
Task (id='task') is compatible, solver match found in ontology: 'KISAO:0000019' matched to CVODE
Succesful model import: SBML file /tmp/temp4043336692887305120.xml
/tmp/out/simulation.sedml
false
cbit.vcell.solver.ode.CVodeSolverStandalone@5524b72f
Finished: SOLVER_FINISHED:completed
Succesful execution: Model 'Elowitz-Nature-2000-Repressilator__model' Task 'task'.
-----------------------------------------------------------------------------------------------------
Ignoring unsupported output `Figure_1c` while CSV generation.
Generating report `report`.
Generating report `__plot__Figure_1c`.
report : /tmp/out/simulation.sedml/report.csv
HDF conversion successful
/usr/local/app/vcell/installDir/python/vcell_cli_utils/vcell_cli_utils/cli.py:409: DeprecationWarning: `np.float` is a deprecated alias for the builtin `float`. To silence this warning, use `float` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.float64` here.
Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations
np.float), y=df[data['y']].astype(np.float), ax=ax, label=curve)
/usr/local/app/vcell/installDir/python/vcell_cli_utils/vcell_cli_utils/cli.py:409: DeprecationWarning: `np.float` is a deprecated alias for the builtin `float`. To silence this warning, use `float` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.float64` here.
Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations
np.float), y=df[data['y']].astype(np.float), ax=ax, label=curve)
/usr/local/app/vcell/installDir/python/vcell_cli_utils/vcell_cli_utils/cli.py:409: DeprecationWarning: `np.float` is a deprecated alias for the builtin `float`. To silence this warning, use `float` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.float64` here.
Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations
np.float), y=df[data['y']].astype(np.float), ax=ax, label=curve)
Archiving resultant PDF files to `plots.zip`.
Archiving resultant CSV files to `reports.zip`.
published_project.SimulatorCanExecutePublishedProject:sbml-core/Vilar-PNAS-2002-minimal-circardian-clock
(118.9 s)Required model formats and simulation algorithms for SED tasks:
Format: format_2585
Algorithm: KISAO_0000019
Format: format_2585
Algorithm: KISAO_0000027
Format: format_2585
Algorithm: KISAO_0000030
Warnings:
Unexpected reports were produced:
simulation.sedml/plot2d_Euler_default
simulation.sedml/plot2d_Euler_small_step_size
simulation.sedml/plot2d_Fig_1_c
simulation.sedml/plot2d_Fig_1a
simulation.sedml/plot2d_low_delta_R_det
simulation.sedml/plot2d_low_delta_R_stoch
Log:
VCell CLI input archive /tmp/in/Vilar-PNAS-2002-minimal-circardian-clock.omex
Sep 20, 2021 12:44:53 AM java.util.prefs.FileSystemPreferences$1 run
INFO: Created user preferences directory.
-----------------------------------------------------------------------------------------------------
TempPath Created: /tmp/vcell_temp_a37cbeb9-dc1e-4945-aee3-83a4f5a41722484027635761965608
Python 3.8.10
utilPath: /usr/local/app/vcell/installDir/python/vcell_cli_utils
cliUtilPath: /usr/local/app/vcell/installDir/python/vcell_cli_utils/vcell_cli_utils
cliPath: /usr/local/app/vcell/installDir/python/vcell_cli_utils/vcell_cli_utils/cli.py
statusPath: /usr/local/app/vcell/installDir/python/vcell_cli_utils/vcell_cli_utils/status.py
SED-ML version level not supported, import may fail
SED-ML version level not supported, import may fail
Unsupported version, import may fail
Found 1 SED-ML document(s) with 4 model(s), 6 simulation(s), 6 task(s), 6 report(s), 6 plot2D(s), and 0 plot3D(s)
Successful translation: SED-ML file simulation.sedml
-----------------------------------------------------------------------------------------------------
name: simulation
SED-ML version level not supported, import may fail
SED-ML version level not supported, import may fail
Unsupported version, import may fail
Model [id=ODE_deterministic, name=ODE deterministic, language=urn:sedml:language:sbml, src=model_ODE_deterministic.xml]
Model [id=ODE_deterministic_0, name=ODE deterministic modified, language=urn:sedml:language:sbml, src=model_ODE_deterministic.xml]
Model [id=ODE_stochastic, name=ODE stochastic, language=urn:sedml:language:sbml, src=model_ODE_stochastic.xml]
Model [id=ODE_stochastic_0, name=ODE stochastic modified, language=urn:sedml:language:sbml, src=model_ODE_stochastic.xml]
UniformTimeCourse [initialTime=0.0, numberOfPoints=400, outputEndTime=200.0, outputStartTime=0.0, Algorithm [kisaoID=KISAO:0000019 AlgorithmParameter [kisaoID=KISAO:0000211 value=1.0E-9] AlgorithmParameter [kisaoID=KISAO:0000209 value=1.0E-9] AlgorithmParameter [kisaoID=KISAO:0000467 value=1.0] ], getId()=Fig_1a]
UniformTimeCourse [initialTime=0.0, numberOfPoints=400, outputEndTime=200.0, outputStartTime=0.0, Algorithm [kisaoID=KISAO:0000019 AlgorithmParameter [kisaoID=KISAO:0000211 value=1.0E-9] AlgorithmParameter [kisaoID=KISAO:0000209 value=1.0E-9] AlgorithmParameter [kisaoID=KISAO:0000467 value=1.0] ], getId()=low_delta_R_det]
UniformTimeCourse [initialTime=0.0, numberOfPoints=1000, outputEndTime=200.0, outputStartTime=0.0, Algorithm [kisaoID=KISAO:0000030 AlgorithmParameter [kisaoID=KISAO:0000483 value=0.1] ], getId()=Euler_default]
UniformTimeCourse [initialTime=0.0, numberOfPoints=1000, outputEndTime=200.0, outputStartTime=0.0, Algorithm [kisaoID=KISAO:0000030 AlgorithmParameter [kisaoID=KISAO:0000483 value=0.001] ], getId()=Euler_small_step_size]
UniformTimeCourse [initialTime=0.0, numberOfPoints=400, outputEndTime=200.0, outputStartTime=0.0, Algorithm [kisaoID=KISAO:0000027], getId()=Fig_1_c]
UniformTimeCourse [initialTime=0.0, numberOfPoints=400, outputEndTime=200.0, outputStartTime=0.0, Algorithm [kisaoID=KISAO:0000027], getId()=low_delta_R_stoch]
Task [modelReference=ODE_deterministic, name=tsk_0_0, simulationReference=Fig_1a, getId()=tsk_0_0]
Task [modelReference=ODE_deterministic_0, name=tsk_0_1, simulationReference=low_delta_R_det, getId()=tsk_0_1]
Task [modelReference=ODE_deterministic, name=tsk_0_2, simulationReference=Euler_default, getId()=tsk_0_2]
Task [modelReference=ODE_deterministic, name=tsk_0_3, simulationReference=Euler_small_step_size, getId()=tsk_0_3]
Task [modelReference=ODE_stochastic, name=tsk_1_0, simulationReference=Fig_1_c, getId()=tsk_1_0]
Task [modelReference=ODE_stochastic_0, name=tsk_1_1, simulationReference=low_delta_R_stoch, getId()=tsk_1_1]
DataGenerator [math=org.jmathml.ASTRootNode@4ce7fffa, name=time_tsk_0_0, getId()=time_tsk_0_0]
DataGenerator [math=org.jmathml.ASTRootNode@497486b3, name=dataGen_tsk_0_0_mRNA_R, getId()=dataGen_tsk_0_0_mRNA_R]
DataGenerator [math=org.jmathml.ASTRootNode@63f8276e, name=dataGen_tsk_0_0_A, getId()=dataGen_tsk_0_0_A]
DataGenerator [math=org.jmathml.ASTRootNode@75f95314, name=dataGen_tsk_0_0_R, getId()=dataGen_tsk_0_0_R]
DataGenerator [math=org.jmathml.ASTRootNode@6127a7e, name=dataGen_tsk_0_0_PrmA, getId()=dataGen_tsk_0_0_PrmA]
DataGenerator [math=org.jmathml.ASTRootNode@6bbe2511, name=dataGen_tsk_0_0_PrmR, getId()=dataGen_tsk_0_0_PrmR]
DataGenerator [math=org.jmathml.ASTRootNode@495fac5f, name=dataGen_tsk_0_0_C, getId()=dataGen_tsk_0_0_C]
DataGenerator [math=org.jmathml.ASTRootNode@76012793, name=dataGen_tsk_0_0_PrmA_bound, getId()=dataGen_tsk_0_0_PrmA_bound]
DataGenerator [math=org.jmathml.ASTRootNode@635572a7, name=dataGen_tsk_0_0_PrmR_bound, getId()=dataGen_tsk_0_0_PrmR_bound]
DataGenerator [math=org.jmathml.ASTRootNode@79d94571, name=dataGen_tsk_0_0_mRNA_A_, getId()=dataGen_tsk_0_0_mRNA_A_]
DataGenerator [math=org.jmathml.ASTRootNode@4dd02341, name=time_tsk_0_1, getId()=time_tsk_0_1]
DataGenerator [math=org.jmathml.ASTRootNode@3212a8d7, name=dataGen_tsk_0_1_mRNA_R, getId()=dataGen_tsk_0_1_mRNA_R]
DataGenerator [math=org.jmathml.ASTRootNode@7a1a3478, name=dataGen_tsk_0_1_A, getId()=dataGen_tsk_0_1_A]
DataGenerator [math=org.jmathml.ASTRootNode@495b0487, name=dataGen_tsk_0_1_R, getId()=dataGen_tsk_0_1_R]
DataGenerator [math=org.jmathml.ASTRootNode@55dfcc6, name=dataGen_tsk_0_1_PrmA, getId()=dataGen_tsk_0_1_PrmA]
DataGenerator [math=org.jmathml.ASTRootNode@222eb8aa, name=dataGen_tsk_0_1_PrmR, getId()=dataGen_tsk_0_1_PrmR]
DataGenerator [math=org.jmathml.ASTRootNode@93cf163, name=dataGen_tsk_0_1_C, getId()=dataGen_tsk_0_1_C]
DataGenerator [math=org.jmathml.ASTRootNode@1852a3ff, name=dataGen_tsk_0_1_PrmA_bound, getId()=dataGen_tsk_0_1_PrmA_bound]
DataGenerator [math=org.jmathml.ASTRootNode@7203c7ff, name=dataGen_tsk_0_1_PrmR_bound, getId()=dataGen_tsk_0_1_PrmR_bound]
DataGenerator [math=org.jmathml.ASTRootNode@25bfcafd, name=dataGen_tsk_0_1_mRNA_A_, getId()=dataGen_tsk_0_1_mRNA_A_]
DataGenerator [math=org.jmathml.ASTRootNode@4b6690c0, name=time_tsk_0_2, getId()=time_tsk_0_2]
DataGenerator [math=org.jmathml.ASTRootNode@46268f08, name=dataGen_tsk_0_2_mRNA_R, getId()=dataGen_tsk_0_2_mRNA_R]
DataGenerator [math=org.jmathml.ASTRootNode@2a76840c, name=dataGen_tsk_0_2_A, getId()=dataGen_tsk_0_2_A]
DataGenerator [math=org.jmathml.ASTRootNode@71454b9d, name=dataGen_tsk_0_2_R, getId()=dataGen_tsk_0_2_R]
DataGenerator [math=org.jmathml.ASTRootNode@eda25e5, name=dataGen_tsk_0_2_PrmA, getId()=dataGen_tsk_0_2_PrmA]
DataGenerator [math=org.jmathml.ASTRootNode@7cf6a5f9, name=dataGen_tsk_0_2_PrmR, getId()=dataGen_tsk_0_2_PrmR]
DataGenerator [math=org.jmathml.ASTRootNode@623e088f, name=dataGen_tsk_0_2_C, getId()=dataGen_tsk_0_2_C]
DataGenerator [math=org.jmathml.ASTRootNode@39fcbef6, name=dataGen_tsk_0_2_PrmA_bound, getId()=dataGen_tsk_0_2_PrmA_bound]
DataGenerator [math=org.jmathml.ASTRootNode@66565121, name=dataGen_tsk_0_2_PrmR_bound, getId()=dataGen_tsk_0_2_PrmR_bound]
DataGenerator [math=org.jmathml.ASTRootNode@2fc6f97f, name=dataGen_tsk_0_2_mRNA_A_, getId()=dataGen_tsk_0_2_mRNA_A_]
DataGenerator [math=org.jmathml.ASTRootNode@3d2ee678, name=time_tsk_0_3, getId()=time_tsk_0_3]
DataGenerator [math=org.jmathml.ASTRootNode@6179e425, name=dataGen_tsk_0_3_mRNA_R, getId()=dataGen_tsk_0_3_mRNA_R]
DataGenerator [math=org.jmathml.ASTRootNode@35f26e72, name=dataGen_tsk_0_3_A, getId()=dataGen_tsk_0_3_A]
DataGenerator [math=org.jmathml.ASTRootNode@2d6764b2, name=dataGen_tsk_0_3_R, getId()=dataGen_tsk_0_3_R]
DataGenerator [math=org.jmathml.ASTRootNode@67304a40, name=dataGen_tsk_0_3_PrmA, getId()=dataGen_tsk_0_3_PrmA]
DataGenerator [math=org.jmathml.ASTRootNode@49c6c24f, name=dataGen_tsk_0_3_PrmR, getId()=dataGen_tsk_0_3_PrmR]
DataGenerator [math=org.jmathml.ASTRootNode@6fe1b4fb, name=dataGen_tsk_0_3_C, getId()=dataGen_tsk_0_3_C]
DataGenerator [math=org.jmathml.ASTRootNode@79351f41, name=dataGen_tsk_0_3_PrmA_bound, getId()=dataGen_tsk_0_3_PrmA_bound]
DataGenerator [math=org.jmathml.ASTRootNode@1c32386d, name=dataGen_tsk_0_3_PrmR_bound, getId()=dataGen_tsk_0_3_PrmR_bound]
DataGenerator [math=org.jmathml.ASTRootNode@6399551e, name=dataGen_tsk_0_3_mRNA_A_, getId()=dataGen_tsk_0_3_mRNA_A_]
DataGenerator [math=org.jmathml.ASTRootNode@13d73fa, name=time_tsk_1_0, getId()=time_tsk_1_0]
DataGenerator [math=org.jmathml.ASTRootNode@5023bb8b, name=dataGen_tsk_1_0_mRNA_R, getId()=dataGen_tsk_1_0_mRNA_R]
DataGenerator [math=org.jmathml.ASTRootNode@5d5f10b2, name=dataGen_tsk_1_0_A, getId()=dataGen_tsk_1_0_A]
DataGenerator [math=org.jmathml.ASTRootNode@74c79fa2, name=dataGen_tsk_1_0_R, getId()=dataGen_tsk_1_0_R]
DataGenerator [math=org.jmathml.ASTRootNode@1e0f9063, name=dataGen_tsk_1_0_PrmA, getId()=dataGen_tsk_1_0_PrmA]
DataGenerator [math=org.jmathml.ASTRootNode@53bd8fca, name=dataGen_tsk_1_0_PrmR, getId()=dataGen_tsk_1_0_PrmR]
DataGenerator [math=org.jmathml.ASTRootNode@7642df8f, name=dataGen_tsk_1_0_C, getId()=dataGen_tsk_1_0_C]
DataGenerator [math=org.jmathml.ASTRootNode@3e30646a, name=dataGen_tsk_1_0_PrmA_bound, getId()=dataGen_tsk_1_0_PrmA_bound]
DataGenerator [math=org.jmathml.ASTRootNode@5cde6747, name=dataGen_tsk_1_0_PrmR_bound, getId()=dataGen_tsk_1_0_PrmR_bound]
DataGenerator [math=org.jmathml.ASTRootNode@63a270c9, name=dataGen_tsk_1_0_mRNA_A_, getId()=dataGen_tsk_1_0_mRNA_A_]
DataGenerator [math=org.jmathml.ASTRootNode@37c7595, name=time_tsk_1_1, getId()=time_tsk_1_1]
DataGenerator [math=org.jmathml.ASTRootNode@3ed242a4, name=dataGen_tsk_1_1_mRNA_R, getId()=dataGen_tsk_1_1_mRNA_R]
DataGenerator [math=org.jmathml.ASTRootNode@1199fe66, name=dataGen_tsk_1_1_A, getId()=dataGen_tsk_1_1_A]
DataGenerator [math=org.jmathml.ASTRootNode@614df0a4, name=dataGen_tsk_1_1_R, getId()=dataGen_tsk_1_1_R]
DataGenerator [math=org.jmathml.ASTRootNode@1fdf1c5, name=dataGen_tsk_1_1_PrmA, getId()=dataGen_tsk_1_1_PrmA]
DataGenerator [math=org.jmathml.ASTRootNode@2d96543c, name=dataGen_tsk_1_1_PrmR, getId()=dataGen_tsk_1_1_PrmR]
DataGenerator [math=org.jmathml.ASTRootNode@73a2e526, name=dataGen_tsk_1_1_C, getId()=dataGen_tsk_1_1_C]
DataGenerator [math=org.jmathml.ASTRootNode@7d64e326, name=dataGen_tsk_1_1_PrmA_bound, getId()=dataGen_tsk_1_1_PrmA_bound]
DataGenerator [math=org.jmathml.ASTRootNode@13f95696, name=dataGen_tsk_1_1_PrmR_bound, getId()=dataGen_tsk_1_1_PrmR_bound]
DataGenerator [math=org.jmathml.ASTRootNode@cd1d761, name=dataGen_tsk_1_1_mRNA_A_, getId()=dataGen_tsk_1_1_mRNA_A_]
Plot2D [listOfCurves=[Curve [id=plot2d_Fig_1a_curve_0, logX=false, logY=false, name=curve_0, xDataReference=time_tsk_0_0, yDataReference=dataGen_tsk_0_0_mRNA_R], Curve [id=plot2d_Fig_1a_curve_1, logX=false, logY=false, name=curve_1, xDataReference=time_tsk_0_0, yDataReference=dataGen_tsk_0_0_A], Curve [id=plot2d_Fig_1a_curve_2, logX=false, logY=false, name=curve_2, xDataReference=time_tsk_0_0, yDataReference=dataGen_tsk_0_0_R], Curve [id=plot2d_Fig_1a_curve_3, logX=false, logY=false, name=curve_3, xDataReference=time_tsk_0_0, yDataReference=dataGen_tsk_0_0_PrmA], Curve [id=plot2d_Fig_1a_curve_4, logX=false, logY=false, name=curve_4, xDataReference=time_tsk_0_0, yDataReference=dataGen_tsk_0_0_PrmR], Curve [id=plot2d_Fig_1a_curve_5, logX=false, logY=false, name=curve_5, xDataReference=time_tsk_0_0, yDataReference=dataGen_tsk_0_0_C], Curve [id=plot2d_Fig_1a_curve_6, logX=false, logY=false, name=curve_6, xDataReference=time_tsk_0_0, yDataReference=dataGen_tsk_0_0_PrmA_bound], Curve [id=plot2d_Fig_1a_curve_7, logX=false, logY=false, name=curve_7, xDataReference=time_tsk_0_0, yDataReference=dataGen_tsk_0_0_PrmR_bound], Curve [id=plot2d_Fig_1a_curve_8, logX=false, logY=false, name=curve_8, xDataReference=time_tsk_0_0, yDataReference=dataGen_tsk_0_0_mRNA_A_]], name=ODE deterministicplots]
Plot2D [listOfCurves=[Curve [id=plot2d_low_delta_R_detcurve_0, logX=false, logY=false, name=curve_0, xDataReference=time_tsk_0_1, yDataReference=dataGen_tsk_0_1_mRNA_R], Curve [id=plot2d_low_delta_R_detcurve_1, logX=false, logY=false, name=curve_1, xDataReference=time_tsk_0_1, yDataReference=dataGen_tsk_0_1_A], Curve [id=plot2d_low_delta_R_detcurve_2, logX=false, logY=false, name=curve_2, xDataReference=time_tsk_0_1, yDataReference=dataGen_tsk_0_1_R], Curve [id=plot2d_low_delta_R_detcurve_3, logX=false, logY=false, name=curve_3, xDataReference=time_tsk_0_1, yDataReference=dataGen_tsk_0_1_PrmA], Curve [id=plot2d_low_delta_R_detcurve_4, logX=false, logY=false, name=curve_4, xDataReference=time_tsk_0_1, yDataReference=dataGen_tsk_0_1_PrmR], Curve [id=plot2d_low_delta_R_detcurve_5, logX=false, logY=false, name=curve_5, xDataReference=time_tsk_0_1, yDataReference=dataGen_tsk_0_1_C], Curve [id=plot2d_low_delta_R_detcurve_6, logX=false, logY=false, name=curve_6, xDataReference=time_tsk_0_1, yDataReference=dataGen_tsk_0_1_PrmA_bound], Curve [id=plot2d_low_delta_R_detcurve_7, logX=false, logY=false, name=curve_7, xDataReference=time_tsk_0_1, yDataReference=dataGen_tsk_0_1_PrmR_bound], Curve [id=plot2d_low_delta_R_detcurve_8, logX=false, logY=false, name=curve_8, xDataReference=time_tsk_0_1, yDataReference=dataGen_tsk_0_1_mRNA_A_]], name=ODE deterministicplots]
Plot2D [listOfCurves=[Curve [id=plot2d_Euler_default_curve_0, logX=false, logY=false, name=curve_0, xDataReference=time_tsk_0_2, yDataReference=dataGen_tsk_0_2_mRNA_R], Curve [id=plot2d_Euler_default_curve_1, logX=false, logY=false, name=curve_1, xDataReference=time_tsk_0_2, yDataReference=dataGen_tsk_0_2_A], Curve [id=plot2d_Euler_default_curve_2, logX=false, logY=false, name=curve_2, xDataReference=time_tsk_0_2, yDataReference=dataGen_tsk_0_2_R], Curve [id=plot2d_Euler_default_curve_3, logX=false, logY=false, name=curve_3, xDataReference=time_tsk_0_2, yDataReference=dataGen_tsk_0_2_PrmA], Curve [id=plot2d_Euler_default_curve_4, logX=false, logY=false, name=curve_4, xDataReference=time_tsk_0_2, yDataReference=dataGen_tsk_0_2_PrmR], Curve [id=plot2d_Euler_default_curve_5, logX=false, logY=false, name=curve_5, xDataReference=time_tsk_0_2, yDataReference=dataGen_tsk_0_2_C], Curve [id=plot2d_Euler_default_curve_6, logX=false, logY=false, name=curve_6, xDataReference=time_tsk_0_2, yDataReference=dataGen_tsk_0_2_PrmA_bound], Curve [id=plot2d_Euler_default_curve_7, logX=false, logY=false, name=curve_7, xDataReference=time_tsk_0_2, yDataReference=dataGen_tsk_0_2_PrmR_bound], Curve [id=plot2d_Euler_default_curve_8, logX=false, logY=false, name=curve_8, xDataReference=time_tsk_0_2, yDataReference=dataGen_tsk_0_2_mRNA_A_]], name=ODE deterministicplots]
Plot2D [listOfCurves=[Curve [id=plot2d_Euler_small_step_size_curve_0, logX=false, logY=false, name=curve_0, xDataReference=time_tsk_0_3, yDataReference=dataGen_tsk_0_3_mRNA_R], Curve [id=plot2d_Euler_small_step_size_curve_1, logX=false, logY=false, name=curve_1, xDataReference=time_tsk_0_3, yDataReference=dataGen_tsk_0_3_A], Curve [id=plot2d_Euler_small_step_size_curve_2, logX=false, logY=false, name=curve_2, xDataReference=time_tsk_0_3, yDataReference=dataGen_tsk_0_3_R], Curve [id=plot2d_Euler_small_step_size_curve_3, logX=false, logY=false, name=curve_3, xDataReference=time_tsk_0_3, yDataReference=dataGen_tsk_0_3_PrmA], Curve [id=plot2d_Euler_small_step_size_curve_4, logX=false, logY=false, name=curve_4, xDataReference=time_tsk_0_3, yDataReference=dataGen_tsk_0_3_PrmR], Curve [id=plot2d_Euler_small_step_size_curve_5, logX=false, logY=false, name=curve_5, xDataReference=time_tsk_0_3, yDataReference=dataGen_tsk_0_3_C], Curve [id=plot2d_Euler_small_step_size_curve_6, logX=false, logY=false, name=curve_6, xDataReference=time_tsk_0_3, yDataReference=dataGen_tsk_0_3_PrmA_bound], Curve [id=plot2d_Euler_small_step_size_curve_7, logX=false, logY=false, name=curve_7, xDataReference=time_tsk_0_3, yDataReference=dataGen_tsk_0_3_PrmR_bound], Curve [id=plot2d_Euler_small_step_size_curve_8, logX=false, logY=false, name=curve_8, xDataReference=time_tsk_0_3, yDataReference=dataGen_tsk_0_3_mRNA_A_]], name=ODE deterministicplots]
Plot2D [listOfCurves=[Curve [id=plot2d_Fig_1_ccurve_0, logX=false, logY=false, name=curve_0, xDataReference=time_tsk_1_0, yDataReference=dataGen_tsk_1_0_mRNA_R], Curve [id=plot2d_Fig_1_ccurve_1, logX=false, logY=false, name=curve_1, xDataReference=time_tsk_1_0, yDataReference=dataGen_tsk_1_0_A], Curve [id=plot2d_Fig_1_ccurve_2, logX=false, logY=false, name=curve_2, xDataReference=time_tsk_1_0, yDataReference=dataGen_tsk_1_0_R], Curve [id=plot2d_Fig_1_ccurve_3, logX=false, logY=false, name=curve_3, xDataReference=time_tsk_1_0, yDataReference=dataGen_tsk_1_0_PrmA], Curve [id=plot2d_Fig_1_ccurve_4, logX=false, logY=false, name=curve_4, xDataReference=time_tsk_1_0, yDataReference=dataGen_tsk_1_0_PrmR], Curve [id=plot2d_Fig_1_ccurve_5, logX=false, logY=false, name=curve_5, xDataReference=time_tsk_1_0, yDataReference=dataGen_tsk_1_0_C], Curve [id=plot2d_Fig_1_ccurve_6, logX=false, logY=false, name=curve_6, xDataReference=time_tsk_1_0, yDataReference=dataGen_tsk_1_0_PrmA_bound], Curve [id=plot2d_Fig_1_ccurve_7, logX=false, logY=false, name=curve_7, xDataReference=time_tsk_1_0, yDataReference=dataGen_tsk_1_0_PrmR_bound], Curve [id=plot2d_Fig_1_ccurve_8, logX=false, logY=false, name=curve_8, xDataReference=time_tsk_1_0, yDataReference=dataGen_tsk_1_0_mRNA_A_]], name=ODE stochasticplots]
Plot2D [listOfCurves=[Curve [id=plot2d_low_delta_R_stochcurve_0, logX=false, logY=false, name=curve_0, xDataReference=time_tsk_1_1, yDataReference=dataGen_tsk_1_1_mRNA_R], Curve [id=plot2d_low_delta_R_stochcurve_1, logX=false, logY=false, name=curve_1, xDataReference=time_tsk_1_1, yDataReference=dataGen_tsk_1_1_A], Curve [id=plot2d_low_delta_R_stochcurve_2, logX=false, logY=false, name=curve_2, xDataReference=time_ts ...
log.SimulatorReportsTheStatusOfTheExecutionOfCombineArchives
(12.7 s)Test that simulator logs the execution of COMBINE/OMEX archives
Reason for skip:
The simulator did not export information about the status of its execution. Simulators are encouraged to stream information about their execution status.
More information: https://biosimulators.org/conventions/status
Log:
VCell CLI input archive /tmp/in/archive.omex
Sep 20, 2021 12:40:29 AM java.util.prefs.FileSystemPreferences$1 run
INFO: Created user preferences directory.
-----------------------------------------------------------------------------------------------------
TempPath Created: /tmp/vcell_temp_b7aa71ec-4154-4365-83d3-e041d298775c5255591662087110991
Python 3.8.10
utilPath: /usr/local/app/vcell/installDir/python/vcell_cli_utils
cliUtilPath: /usr/local/app/vcell/installDir/python/vcell_cli_utils/vcell_cli_utils
cliPath: /usr/local/app/vcell/installDir/python/vcell_cli_utils/vcell_cli_utils/cli.py
statusPath: /usr/local/app/vcell/installDir/python/vcell_cli_utils/vcell_cli_utils/status.py
SED-ML version level not supported, import may fail
SED-ML version level not supported, import may fail
Unsupported version, import may fail
Found 1 SED-ML document(s) with 1 model(s), 1 simulation(s), 1 task(s), 1 report(s), 0 plot2D(s), and 0 plot3D(s)
Successful translation: SED-ML file BIOMD0000000912_sim.sedml
-----------------------------------------------------------------------------------------------------
name: BIOMD0000000912_sim
SED-ML version level not supported, import may fail
SED-ML version level not supported, import may fail
Unsupported version, import may fail
Model [id=BIOMD0000000912, name=Caravagna2010 - Tumour suppression by immune system, language=urn:sedml:language:sbml, src=Caravagna2010.xml]
UniformTimeCourse [initialTime=0.0, numberOfPoints=10, outputEndTime=2.0, outputStartTime=0.0, Algorithm [kisaoID=KISAO:0000019], getId()=BIOMD0000000912_sim]
Task [modelReference=BIOMD0000000912, name=Caravagna2010, simulationReference=BIOMD0000000912_sim, getId()=BIOMD0000000912_task]
DataGenerator [math=org.jmathml.ASTRootNode@51fadaff, name=time, getId()=data_gen_time]
DataGenerator [math=org.jmathml.ASTRootNode@401f7633, name=T, getId()=data_gen_T]
DataGenerator [math=org.jmathml.ASTRootNode@31ff43be, name=E, getId()=data_gen_E]
DataGenerator [math=org.jmathml.ASTRootNode@5b6ec132, name=I, getId()=data_gen_I]
org.jlibsedml.Report@c84c5553
SED-ML version level not supported, import may fail
SED-ML version level not supported, import may fail
Unsupported version, import may fail
Task (id='BIOMD0000000912_task') is compatible, solver match found in ontology: 'KISAO:0000019' matched to CVODE
SBML Import: no assignment rules.
SBML Import: no assignment rules.
LOGGER: msgLevel=MediumPriority, msgType=OverallWarning, Issues encountered during SBML Import:
- WARNING: The imported model has one or more reactions that have ids/names that are longer than 64 characters.
User is STRONGLY recommeded to shorten the names to avoid problems with the length of expressions these names might be used in.
Succesful model import: SBML file /tmp/temp6618229381665354769.xml
/tmp/out/BIOMD0000000912_sim.sedml
false
cbit.vcell.solver.ode.CVodeSolverStandalone@718607eb
Finished: SOLVER_FINISHED:completed
Succesful execution: Model 'archive__BIOMD0000000912' Task 'Caravagna2010'.
-----------------------------------------------------------------------------------------------------
Generating report `report`.
report : /tmp/out/./BIOMD0000000912_sim.sedml/report.csv
HDF conversion successful
No PDF files found, skipping archiving `plots.zip` files
Archiving resultant CSV files to `reports.zip`.
log.SimulatorReportsTheStatusOfTheExecutionOfSedDocuments
(12.4 s)Test that simulator logs the execution of individual SED document in COMBINE/OMEX archives
Reason for skip:
The simulator did not export information about the status of its execution. Simulators are encouraged to stream information about their execution status.
More information: https://biosimulators.org/conventions/status
Log:
VCell CLI input archive /tmp/in/archive.omex
Sep 20, 2021 12:40:41 AM java.util.prefs.FileSystemPreferences$1 run
INFO: Created user preferences directory.
-----------------------------------------------------------------------------------------------------
TempPath Created: /tmp/vcell_temp_9365d3ad-5482-43a6-a450-c8c48d7e8cfd1746586725181652175
Python 3.8.10
utilPath: /usr/local/app/vcell/installDir/python/vcell_cli_utils
cliUtilPath: /usr/local/app/vcell/installDir/python/vcell_cli_utils/vcell_cli_utils
cliPath: /usr/local/app/vcell/installDir/python/vcell_cli_utils/vcell_cli_utils/cli.py
statusPath: /usr/local/app/vcell/installDir/python/vcell_cli_utils/vcell_cli_utils/status.py
SED-ML version level not supported, import may fail
SED-ML version level not supported, import may fail
Unsupported version, import may fail
Found 1 SED-ML document(s) with 1 model(s), 1 simulation(s), 1 task(s), 1 report(s), 0 plot2D(s), and 0 plot3D(s)
Successful translation: SED-ML file BIOMD0000000912_sim.sedml
-----------------------------------------------------------------------------------------------------
name: BIOMD0000000912_sim
SED-ML version level not supported, import may fail
SED-ML version level not supported, import may fail
Unsupported version, import may fail
Model [id=BIOMD0000000912, name=Caravagna2010 - Tumour suppression by immune system, language=urn:sedml:language:sbml, src=Caravagna2010.xml]
UniformTimeCourse [initialTime=0.0, numberOfPoints=10, outputEndTime=2.0, outputStartTime=0.0, Algorithm [kisaoID=KISAO:0000019], getId()=BIOMD0000000912_sim]
Task [modelReference=BIOMD0000000912, name=Caravagna2010, simulationReference=BIOMD0000000912_sim, getId()=BIOMD0000000912_task]
DataGenerator [math=org.jmathml.ASTRootNode@51fadaff, name=time, getId()=data_gen_time]
DataGenerator [math=org.jmathml.ASTRootNode@401f7633, name=T, getId()=data_gen_T]
DataGenerator [math=org.jmathml.ASTRootNode@31ff43be, name=E, getId()=data_gen_E]
DataGenerator [math=org.jmathml.ASTRootNode@5b6ec132, name=I, getId()=data_gen_I]
org.jlibsedml.Report@c84c5553
SED-ML version level not supported, import may fail
SED-ML version level not supported, import may fail
Unsupported version, import may fail
Task (id='BIOMD0000000912_task') is compatible, solver match found in ontology: 'KISAO:0000019' matched to CVODE
SBML Import: no assignment rules.
SBML Import: no assignment rules.
LOGGER: msgLevel=MediumPriority, msgType=OverallWarning, Issues encountered during SBML Import:
- WARNING: The imported model has one or more reactions that have ids/names that are longer than 64 characters.
User is STRONGLY recommeded to shorten the names to avoid problems with the length of expressions these names might be used in.
Succesful model import: SBML file /tmp/temp7646726206615836797.xml
/tmp/out/BIOMD0000000912_sim.sedml
false
cbit.vcell.solver.ode.CVodeSolverStandalone@718607eb
Finished: SOLVER_FINISHED:completed
Succesful execution: Model 'archive__BIOMD0000000912' Task 'Caravagna2010'.
-----------------------------------------------------------------------------------------------------
Generating report `report`.
report : /tmp/out/./BIOMD0000000912_sim.sedml/report.csv
HDF conversion successful
No PDF files found, skipping archiving `plots.zip` files
Archiving resultant CSV files to `reports.zip`.
log.SimulatorReportsTheStatusOfTheExecutionOfSedOutputs
(12.2 s)Test that simulator logs the execution of individual SED outputs in COMBINE/OMEX archives
Reason for skip:
The simulator did not export information about the status of its execution. Simulators are encouraged to stream information about their execution status.
More information: https://biosimulators.org/conventions/status
Log:
VCell CLI input archive /tmp/in/archive.omex
Sep 20, 2021 12:40:54 AM java.util.prefs.FileSystemPreferences$1 run
INFO: Created user preferences directory.
-----------------------------------------------------------------------------------------------------
TempPath Created: /tmp/vcell_temp_cfa719e2-31c6-46b6-bb94-9b1e05c3cb841884098742132424969
Python 3.8.10
utilPath: /usr/local/app/vcell/installDir/python/vcell_cli_utils
cliUtilPath: /usr/local/app/vcell/installDir/python/vcell_cli_utils/vcell_cli_utils
cliPath: /usr/local/app/vcell/installDir/python/vcell_cli_utils/vcell_cli_utils/cli.py
statusPath: /usr/local/app/vcell/installDir/python/vcell_cli_utils/vcell_cli_utils/status.py
SED-ML version level not supported, import may fail
SED-ML version level not supported, import may fail
Unsupported version, import may fail
Found 1 SED-ML document(s) with 1 model(s), 1 simulation(s), 1 task(s), 1 report(s), 0 plot2D(s), and 0 plot3D(s)
Successful translation: SED-ML file BIOMD0000000912_sim.sedml
-----------------------------------------------------------------------------------------------------
name: BIOMD0000000912_sim
SED-ML version level not supported, import may fail
SED-ML version level not supported, import may fail
Unsupported version, import may fail
Model [id=BIOMD0000000912, name=Caravagna2010 - Tumour suppression by immune system, language=urn:sedml:language:sbml, src=Caravagna2010.xml]
UniformTimeCourse [initialTime=0.0, numberOfPoints=10, outputEndTime=2.0, outputStartTime=0.0, Algorithm [kisaoID=KISAO:0000019], getId()=BIOMD0000000912_sim]
Task [modelReference=BIOMD0000000912, name=Caravagna2010, simulationReference=BIOMD0000000912_sim, getId()=BIOMD0000000912_task]
DataGenerator [math=org.jmathml.ASTRootNode@51fadaff, name=time, getId()=data_gen_time]
DataGenerator [math=org.jmathml.ASTRootNode@401f7633, name=T, getId()=data_gen_T]
DataGenerator [math=org.jmathml.ASTRootNode@31ff43be, name=E, getId()=data_gen_E]
DataGenerator [math=org.jmathml.ASTRootNode@5b6ec132, name=I, getId()=data_gen_I]
org.jlibsedml.Report@c84c5553
SED-ML version level not supported, import may fail
SED-ML version level not supported, import may fail
Unsupported version, import may fail
Task (id='BIOMD0000000912_task') is compatible, solver match found in ontology: 'KISAO:0000019' matched to CVODE
SBML Import: no assignment rules.
SBML Import: no assignment rules.
LOGGER: msgLevel=MediumPriority, msgType=OverallWarning, Issues encountered during SBML Import:
- WARNING: The imported model has one or more reactions that have ids/names that are longer than 64 characters.
User is STRONGLY recommeded to shorten the names to avoid problems with the length of expressions these names might be used in.
Succesful model import: SBML file /tmp/temp2837987993907001345.xml
/tmp/out/BIOMD0000000912_sim.sedml
false
cbit.vcell.solver.ode.CVodeSolverStandalone@718607eb
Finished: SOLVER_FINISHED:completed
Succesful execution: Model 'archive__BIOMD0000000912' Task 'Caravagna2010'.
-----------------------------------------------------------------------------------------------------
Generating report `report`.
report : /tmp/out/./BIOMD0000000912_sim.sedml/report.csv
HDF conversion successful
No PDF files found, skipping archiving `plots.zip` files
Archiving resultant CSV files to `reports.zip`.
log.SimulatorReportsTheStatusOfTheExecutionOfSedTasks
(12.4 s)Test that simulator logs the execution of individual SED tasks in COMBINE/OMEX archives
Reason for skip:
The simulator did not export information about the status of its execution. Simulators are encouraged to stream information about their execution status.
More information: https://biosimulators.org/conventions/status
Log:
VCell CLI input archive /tmp/in/archive.omex
Sep 20, 2021 12:41:06 AM java.util.prefs.FileSystemPreferences$1 run
INFO: Created user preferences directory.
-----------------------------------------------------------------------------------------------------
TempPath Created: /tmp/vcell_temp_981bb94b-9d3f-44fa-9041-e65bd1548c0d5267586446267955969
Python 3.8.10
utilPath: /usr/local/app/vcell/installDir/python/vcell_cli_utils
cliUtilPath: /usr/local/app/vcell/installDir/python/vcell_cli_utils/vcell_cli_utils
cliPath: /usr/local/app/vcell/installDir/python/vcell_cli_utils/vcell_cli_utils/cli.py
statusPath: /usr/local/app/vcell/installDir/python/vcell_cli_utils/vcell_cli_utils/status.py
SED-ML version level not supported, import may fail
SED-ML version level not supported, import may fail
Unsupported version, import may fail
Found 1 SED-ML document(s) with 1 model(s), 1 simulation(s), 1 task(s), 1 report(s), 0 plot2D(s), and 0 plot3D(s)
Successful translation: SED-ML file BIOMD0000000912_sim.sedml
-----------------------------------------------------------------------------------------------------
name: BIOMD0000000912_sim
SED-ML version level not supported, import may fail
SED-ML version level not supported, import may fail
Unsupported version, import may fail
Model [id=BIOMD0000000912, name=Caravagna2010 - Tumour suppression by immune system, language=urn:sedml:language:sbml, src=Caravagna2010.xml]
UniformTimeCourse [initialTime=0.0, numberOfPoints=10, outputEndTime=2.0, outputStartTime=0.0, Algorithm [kisaoID=KISAO:0000019], getId()=BIOMD0000000912_sim]
Task [modelReference=BIOMD0000000912, name=Caravagna2010, simulationReference=BIOMD0000000912_sim, getId()=BIOMD0000000912_task]
DataGenerator [math=org.jmathml.ASTRootNode@51fadaff, name=time, getId()=data_gen_time]
DataGenerator [math=org.jmathml.ASTRootNode@401f7633, name=T, getId()=data_gen_T]
DataGenerator [math=org.jmathml.ASTRootNode@31ff43be, name=E, getId()=data_gen_E]
DataGenerator [math=org.jmathml.ASTRootNode@5b6ec132, name=I, getId()=data_gen_I]
org.jlibsedml.Report@c84c5553
SED-ML version level not supported, import may fail
SED-ML version level not supported, import may fail
Unsupported version, import may fail
Task (id='BIOMD0000000912_task') is compatible, solver match found in ontology: 'KISAO:0000019' matched to CVODE
SBML Import: no assignment rules.
SBML Import: no assignment rules.
LOGGER: msgLevel=MediumPriority, msgType=OverallWarning, Issues encountered during SBML Import:
- WARNING: The imported model has one or more reactions that have ids/names that are longer than 64 characters.
User is STRONGLY recommeded to shorten the names to avoid problems with the length of expressions these names might be used in.
Succesful model import: SBML file /tmp/temp7307031436694370362.xml
/tmp/out/BIOMD0000000912_sim.sedml
false
cbit.vcell.solver.ode.CVodeSolverStandalone@718607eb
Finished: SOLVER_FINISHED:completed
Succesful execution: Model 'archive__BIOMD0000000912' Task 'Caravagna2010'.
-----------------------------------------------------------------------------------------------------
Generating report `report`.
report : /tmp/out/./BIOMD0000000912_sim.sedml/report.csv
HDF conversion successful
No PDF files found, skipping archiving `plots.zip` files
Archiving resultant CSV files to `reports.zip`.
published_project.SimulatorCanExecutePublishedProject:bngl/Dolan-PLoS-Comput-Biol-2015-NHEJ
(0.0 s)Required model formats and simulation algorithms for SED tasks:
Format: format_3972
Algorithm: KISAO_0000263
Reason for skip:
Case requires model formats format_3972 and simulation algorithms KISAO_0000263
Log:
published_project.SimulatorCanExecutePublishedProject:bngl/test-bngl
(0.0 s)Required model formats and simulation algorithms for SED tasks:
Format: format_3972
Algorithm: KISAO_0000019
Reason for skip:
Case requires model formats format_3972 and simulation algorithms KISAO_0000019
Log:
published_project.SimulatorCanExecutePublishedProject:cellml/Elowitz-Nature-2000-Repressilator
(0.0 s)Required model formats and simulation algorithms for SED tasks:
Format: format_3240
Algorithm: KISAO_0000019
Reason for skip:
Case requires model formats format_3240 and simulation algorithms KISAO_0000019
Log:
published_project.SimulatorCanExecutePublishedProject:cellml/Lorenz-system
(0.0 s)Required model formats and simulation algorithms for SED tasks:
Format: format_3240
Algorithm: KISAO_0000019
Reason for skip:
Case requires model formats format_3240 and simulation algorithms KISAO_0000019
Log:
published_project.SimulatorCanExecutePublishedProject:mass/Bordbar-Cell-Syst-2015-RBC-metabolism
(0.0 s)Required model formats and simulation algorithms for SED tasks:
Format: format_2585
Algorithm: KISAO_0000019
Reason for skip:
Case requires model formats format_2585 and simulation algorithms KISAO_0000019
Log:
published_project.SimulatorCanExecutePublishedProject:neuroml-lems/Hodgkin-Huxley-cell-CVODE
(0.0 s)Required model formats and simulation algorithms for SED tasks:
Format: format_9004
Algorithm: KISAO_0000019
Reason for skip:
Case requires model formats format_9004 and simulation algorithms KISAO_0000019
Log:
published_project.SimulatorCanExecutePublishedProject:neuroml-lems/Hodgkin-Huxley-cell-Euler
(0.0 s)Required model formats and simulation algorithms for SED tasks:
Format: format_9004
Algorithm: KISAO_0000030
Reason for skip:
Case requires model formats format_9004 and simulation algorithms KISAO_0000030
Log:
published_project.SimulatorCanExecutePublishedProject:rba/Escherichia-coli-K12-WT
(0.0 s)Required model formats and simulation algorithms for SED tasks:
Format: format_9012
Algorithm: KISAO_0000669
Reason for skip:
Case requires model formats format_9012 and simulation algorithms KISAO_0000669
Log:
published_project.SimulatorCanExecutePublishedProject:sbml-core/Edelstein-Biol-Cybern-1996-Nicotinic-excitation
(0.0 s)Required model formats and simulation algorithms for SED tasks:
Format: format_2585
Algorithm: KISAO_0000088
Reason for skip:
Case requires model formats format_2585 and simulation algorithms KISAO_0000088
Log:
published_project.SimulatorCanExecutePublishedProject:sbml-core/Parmar-BMC-Syst-Biol-2017-iron-distribution
(0.0 s)Required model formats and simulation algorithms for SED tasks:
Format: format_2585
Algorithm: KISAO_000019
Reason for skip:
Case requires model formats format_2585 and simulation algorithms KISAO_000019
Log:
published_project.SimulatorCanExecutePublishedProject:sbml-core/Szymanska-J-Theor-Biol-2009-HSP-synthesis
(0.0 s)Required model formats and simulation algorithms for SED tasks:
Format: format_2585
Algorithm: KISAO_0000496
Reason for skip:
Case requires model formats format_2585 and simulation algorithms KISAO_0000496
Log:
published_project.SimulatorCanExecutePublishedProject:sbml-core/Tomida-EMBO-J-2003-NFAT-translocation
(0.0 s)Required model formats and simulation algorithms for SED tasks:
Format: format_2585
Algorithm: KISAO_0000560
Reason for skip:
Case requires model formats format_2585 and simulation algorithms KISAO_0000560
Log:
published_project.SimulatorCanExecutePublishedProject:sbml-core/Varusai-Sci-Rep-2018-mTOR-signaling-LSODA-LSODAR-SBML
(0.0 s)Required model formats and simulation algorithms for SED tasks:
Format: format_2585
Algorithm: KISAO_0000560
Reason for skip:
Case requires model formats format_2585 and simulation algorithms KISAO_0000560
Log:
published_project.SimulatorCanExecutePublishedProject:sbml-core/Vilar-PNAS-2002-minimal-circardian-clock-discrete-SSA
(0.0 s)Required model formats and simulation algorithms for SED tasks:
Format: format_2585
Algorithm: KISAO_0000029
Reason for skip:
Case requires model formats format_2585 and simulation algorithms KISAO_0000029
Log:
published_project.SimulatorCanExecutePublishedProject:sbml-fbc/Escherichia-coli-core-metabolism
(0.0 s)Required model formats and simulation algorithms for SED tasks:
Format: format_2585
Algorithm: KISAO_0000437
Reason for skip:
Case requires model formats format_2585 and simulation algorithms KISAO_0000437
Log:
published_project.SimulatorCanExecutePublishedProject:sbml-qual/Chaouiya-BMC-Syst-Biol-2013-EGF-TNFa-signaling
(0.0 s)Required model formats and simulation algorithms for SED tasks:
Format: format_2585
Algorithm: KISAO_0000449
Reason for skip:
Case requires model formats format_2585 and simulation algorithms KISAO_0000449
Log:
published_project.SimulatorCanExecutePublishedProject:sbml-qual/Irons-J-Theor-Biol-2009-yeast-cell-cycle
(0.0 s)Required model formats and simulation algorithms for SED tasks:
Format: format_2585
Algorithm: KISAO_0000449
Reason for skip:
Case requires model formats format_2585 and simulation algorithms KISAO_0000449
Log:
published_project.SimulatorCanExecutePublishedProject:smoldyn/Lotka-Volterra
(0.0 s)Required model formats and simulation algorithms for SED tasks:
Format: format_9001
Algorithm: KISAO_0000057
Reason for skip:
Case requires model formats format_9001 and simulation algorithms KISAO_0000057
Log:
published_project.SimulatorCanExecutePublishedProject:xpp/Wu-Biochem-Pharmacol-2006-pituitary-GH3-cells
(0.0 s)Required model formats and simulation algorithms for SED tasks:
Format: format_9010
Algorithm: KISAO_0000019
Reason for skip:
Case requires model formats format_9010 and simulation algorithms KISAO_0000019
Log:
sedml.SimulatorCanResolveModelSourcesDefinedByUriFragments
(4.9 s)Test that a simulator can resolve model sources defined by URI fragments (e.g., #model1
).
Reason for skip:
The image 'ghcr.io/virtualcell/biosimulators_vcell:7.4.0.21' could not execute the archive:
Unknown error
Log:
VCell CLI input archive /tmp/in/archive.omex
Sep 20, 2021 12:36:13 AM java.util.prefs.FileSystemPreferences$1 run
INFO: Created user preferences directory.
-----------------------------------------------------------------------------------------------------
TempPath Created: /tmp/vcell_temp_91a978ed-a7d6-41e2-a534-da20211b9f5e8226663105380048370
Python 3.8.10
utilPath: /usr/local/app/vcell/installDir/python/vcell_cli_utils
cliUtilPath: /usr/local/app/vcell/installDir/python/vcell_cli_utils/vcell_cli_utils
cliPath: /usr/local/app/vcell/installDir/python/vcell_cli_utils/vcell_cli_utils/cli.py
statusPath: /usr/local/app/vcell/installDir/python/vcell_cli_utils/vcell_cli_utils/status.py
SED-ML version level not supported, import may fail
SED-ML version level not supported, import may fail
Unsupported version, import may fail
Found 1 SED-ML document(s) with 2 model(s), 1 simulation(s), 1 task(s), 1 report(s), 0 plot2D(s), and 0 plot3D(s)
Successful translation: SED-ML file BIOMD0000000912_sim.sedml
-----------------------------------------------------------------------------------------------------
name: BIOMD0000000912_sim
SED-ML version level not supported, import may fail
SED-ML version level not supported, import may fail
Unsupported version, import may fail
Model [id=BIOMD0000000912, name=Caravagna2010 - Tumour suppression by immune system, language=urn:sedml:language:sbml, src=#__source__]
Model [id=__source__, name=null, language=urn:sedml:language:sbml, src=Caravagna2010.xml]
UniformTimeCourse [initialTime=0.0, numberOfPoints=10, outputEndTime=2.0, outputStartTime=0.0, Algorithm [kisaoID=KISAO:0000019], getId()=BIOMD0000000912_sim]
Task [modelReference=BIOMD0000000912, name=Caravagna2010, simulationReference=BIOMD0000000912_sim, getId()=BIOMD0000000912_task]
DataGenerator [math=org.jmathml.ASTRootNode@51fadaff, name=time, getId()=data_gen_time]
DataGenerator [math=org.jmathml.ASTRootNode@401f7633, name=T, getId()=data_gen_T]
DataGenerator [math=org.jmathml.ASTRootNode@31ff43be, name=E, getId()=data_gen_E]
DataGenerator [math=org.jmathml.ASTRootNode@5b6ec132, name=I, getId()=data_gen_I]
org.jlibsedml.Report@c84c5553
SED-ML version level not supported, import may fail
SED-ML version level not supported, import may fail
Unsupported version, import may fail
Task (id='BIOMD0000000912_task') is compatible, solver match found in ontology: 'KISAO:0000019' matched to CVODE
[Fatal Error] :1:1: Content is not allowed in prolog.
[Fatal Error] :1:1: Content is not allowed in prolog.
java.lang.RuntimeException: Error importing from SBML : no SBML source.
at cbit.vcell.xml.XmlHelper.importSBML(XmlHelper.java:449)
at cbit.vcell.xml.XmlHelper.sedmlToBioModel(XmlHelper.java:702)
at org.vcell.cli.SolverHandler.simulateAllTasks(SolverHandler.java:66)
at org.vcell.cli.CLIStandalone.singleExecOmex(CLIStandalone.java:185)
at org.vcell.cli.CLIStandalone.main(CLIStandalone.java:65)
Unable to Parse SED-ML into Bio-Model, failed with err: Unable to initialize bioModel for the given selection
Error importing from SBML : no SBML source.
Unable to initialize bioModel for the given selection
Error importing from SBML : no SBML source.
sedml.SimulatorCanResolveModelSourcesDefinedByUriFragmentsAndInheritChanges
(4.8 s)Test that a simulator can resolve model sources defined by URI fragments (e.g., #model1
) and inherit the changes of the model.
Reason for skip:
The image 'ghcr.io/virtualcell/biosimulators_vcell:7.4.0.21' could not execute the archive:
Unknown error
Log:
VCell CLI input archive /tmp/in/archive.omex
Sep 20, 2021 12:36:18 AM java.util.prefs.FileSystemPreferences$1 run
INFO: Created user preferences directory.
-----------------------------------------------------------------------------------------------------
TempPath Created: /tmp/vcell_temp_f916fcb8-685d-4b8d-8028-fb9ab78978d81885966017961553502
Python 3.8.10
utilPath: /usr/local/app/vcell/installDir/python/vcell_cli_utils
cliUtilPath: /usr/local/app/vcell/installDir/python/vcell_cli_utils/vcell_cli_utils
cliPath: /usr/local/app/vcell/installDir/python/vcell_cli_utils/vcell_cli_utils/cli.py
statusPath: /usr/local/app/vcell/installDir/python/vcell_cli_utils/vcell_cli_utils/status.py
SED-ML version level not supported, import may fail
SED-ML version level not supported, import may fail
Unsupported version, import may fail
Found 1 SED-ML document(s) with 2 model(s), 1 simulation(s), 1 task(s), 1 report(s), 0 plot2D(s), and 0 plot3D(s)
Successful translation: SED-ML file BIOMD0000000912_sim.sedml
-----------------------------------------------------------------------------------------------------
name: BIOMD0000000912_sim
SED-ML version level not supported, import may fail
SED-ML version level not supported, import may fail
Unsupported version, import may fail
Model [id=BIOMD0000000912, name=Caravagna2010 - Tumour suppression by immune system, language=urn:sedml:language:sbml, src=#__source__]
Model [id=__source__, name=null, language=urn:sedml:language:sbml, src=Caravagna2010.xml]
UniformTimeCourse [initialTime=0.0, numberOfPoints=10, outputEndTime=2.0, outputStartTime=0.0, Algorithm [kisaoID=KISAO:0000019], getId()=BIOMD0000000912_sim]
Task [modelReference=BIOMD0000000912, name=Caravagna2010, simulationReference=BIOMD0000000912_sim, getId()=BIOMD0000000912_task]
DataGenerator [math=org.jmathml.ASTRootNode@31ff43be, name=time, getId()=data_gen_time]
DataGenerator [math=org.jmathml.ASTRootNode@5b6ec132, name=T, getId()=data_gen_T]
DataGenerator [math=org.jmathml.ASTRootNode@5c44c582, name=E, getId()=data_gen_E]
DataGenerator [math=org.jmathml.ASTRootNode@67d18ed7, name=I, getId()=data_gen_I]
org.jlibsedml.Report@c84c5553
SED-ML version level not supported, import may fail
SED-ML version level not supported, import may fail
Unsupported version, import may fail
Task (id='BIOMD0000000912_task') is compatible, solver match found in ontology: 'KISAO:0000019' matched to CVODE
[Fatal Error] :1:1: Content is not allowed in prolog.
[Fatal Error] :1:1: Content is not allowed in prolog.
java.lang.RuntimeException: Error importing from SBML : no SBML source.
at cbit.vcell.xml.XmlHelper.importSBML(XmlHelper.java:449)
at cbit.vcell.xml.XmlHelper.sedmlToBioModel(XmlHelper.java:702)
at org.vcell.cli.SolverHandler.simulateAllTasks(SolverHandler.java:66)
at org.vcell.cli.CLIStandalone.singleExecOmex(CLIStandalone.java:185)
at org.vcell.cli.CLIStandalone.main(CLIStandalone.java:65)
Unable to Parse SED-ML into Bio-Model, failed with err: Unable to initialize bioModel for the given selection
Error importing from SBML : no SBML source.
Unable to initialize bioModel for the given selection
Error importing from SBML : no SBML source.
sedml.SimulatorProducesLinear3DPlots
(0.3 s)Test that a simulator produces linear 3D plots
Reason for skip:
No curated COMBINE/OMEX archives are available to generate archives for testing
Log:
sedml.SimulatorProducesLogarithmic3DPlots
(0.3 s)Test that a simulator produces logarithmic 3D plots
Reason for skip:
No curated COMBINE/OMEX archives are available to generate archives for testing
Log:
sedml.SimulatorProducesReportsWithCuratedNumberOfDimensions
(0.3 s)Test that that the curated number of output dimensions matches the actual number of output dimensions
Reason for skip:
No curated COMBINE/OMEX archives are available to generate archives for testing
Log:
sedml.SimulatorSupportsAddReplaceRemoveModelElementChanges
(12.4 s)Test that a simulator supports model changes that involve adding, replacing, and removing model elements.
Reason for skip:
The execution of the COMBINE/OMEX archive did not fail as expected
Log:
VCell CLI input archive /tmp/in/archive.omex
Sep 20, 2021 12:37:02 AM java.util.prefs.FileSystemPreferences$1 run
INFO: Created user preferences directory.
-----------------------------------------------------------------------------------------------------
TempPath Created: /tmp/vcell_temp_1a7f0b95-9247-4179-9b58-adf6ba60a4a35146722084399490967
Python 3.8.10
utilPath: /usr/local/app/vcell/installDir/python/vcell_cli_utils
cliUtilPath: /usr/local/app/vcell/installDir/python/vcell_cli_utils/vcell_cli_utils
cliPath: /usr/local/app/vcell/installDir/python/vcell_cli_utils/vcell_cli_utils/cli.py
statusPath: /usr/local/app/vcell/installDir/python/vcell_cli_utils/vcell_cli_utils/status.py
SED-ML version level not supported, import may fail
SED-ML version level not supported, import may fail
Unsupported version, import may fail
Found 1 SED-ML document(s) with 1 model(s), 1 simulation(s), 1 task(s), 1 report(s), 0 plot2D(s), and 0 plot3D(s)
Successful translation: SED-ML file BIOMD0000000912_sim.sedml
-----------------------------------------------------------------------------------------------------
name: BIOMD0000000912_sim
SED-ML version level not supported, import may fail
SED-ML version level not supported, import may fail
Unsupported version, import may fail
Model [id=BIOMD0000000912, name=Caravagna2010 - Tumour suppression by immune system, language=urn:sedml:language:sbml, src=Caravagna2010.xml]
UniformTimeCourse [initialTime=0.0, numberOfPoints=10, outputEndTime=2.0, outputStartTime=0.0, Algorithm [kisaoID=KISAO:0000019], getId()=BIOMD0000000912_sim]
Task [modelReference=BIOMD0000000912, name=Caravagna2010, simulationReference=BIOMD0000000912_sim, getId()=BIOMD0000000912_task]
DataGenerator [math=org.jmathml.ASTRootNode@31ff43be, name=time, getId()=data_gen_time]
DataGenerator [math=org.jmathml.ASTRootNode@5b6ec132, name=T, getId()=data_gen_T]
DataGenerator [math=org.jmathml.ASTRootNode@5c44c582, name=E, getId()=data_gen_E]
DataGenerator [math=org.jmathml.ASTRootNode@67d18ed7, name=I, getId()=data_gen_I]
org.jlibsedml.Report@c84c5553
SED-ML version level not supported, import may fail
SED-ML version level not supported, import may fail
Unsupported version, import may fail
Task (id='BIOMD0000000912_task') is compatible, solver match found in ontology: 'KISAO:0000019' matched to CVODE
SBML Import: no assignment rules.
SBML Import: no assignment rules.
LOGGER: msgLevel=MediumPriority, msgType=OverallWarning, Issues encountered during SBML Import:
WARNING: The imported model has one or more reactions that have ids/names that are longer than 64 characters.
User is STRONGLY recommeded to shorten the names to avoid problems with the length of expressions these names might be used in.
Succesful model import: SBML file /tmp/temp757599815976924255.xml
/tmp/out/BIOMD0000000912_sim.sedml
false
cbit.vcell.solver.ode.CVodeSolverStandalone@46b695ec
Finished: SOLVER_FINISHED:completed
Succesful execution: Model 'archive__BIOMD0000000912' Task 'Caravagna2010'.
Generating report report
.
report : /tmp/out/./BIOMD0000000912_sim.sedml/report.csv
HDF conversion successful
No PDF files found, skipping archiving plots.zip
files
Archiving resultant CSV files to reports.zip
.
### `sedml.SimulatorSupportsComputeModelChanges` (13.4 s)
Test that a simulator supports compute model changes
Reason for skip:
The execution of the COMBINE/OMEX archive did not fail as expected
Log:
VCell CLI input archive /tmp/in/archive.omex
Sep 20, 2021 12:37:27 AM java.util.prefs.FileSystemPreferences$1 run
INFO: Created user preferences directory.
TempPath Created: /tmp/vcell_temp_6dbf0bea-7a14-4073-afb5-bbce606401a75104275827186012310
Python 3.8.10
utilPath: /usr/local/app/vcell/installDir/python/vcell_cli_utils
cliUtilPath: /usr/local/app/vcell/installDir/python/vcell_cli_utils/vcell_cli_utils
cliPath: /usr/local/app/vcell/installDir/python/vcell_cli_utils/vcell_cli_utils/cli.py
statusPath: /usr/local/app/vcell/installDir/python/vcell_cli_utils/vcell_cli_utils/status.py
SED-ML version level not supported, import may fail
SED-ML version level not supported, import may fail
Unsupported version, import may fail
Found 1 SED-ML document(s) with 1 model(s), 1 simulation(s), 1 task(s), 1 report(s), 0 plot2D(s), and 0 plot3D(s)
Successful translation: SED-ML file BIOMD0000000912_sim.sedml
name: BIOMD0000000912_sim
SED-ML version level not supported, import may fail
SED-ML version level not supported, import may fail
Unsupported version, import may fail
Model [id=BIOMD0000000912, name=Caravagna2010 - Tumour suppression by immune system, language=urn:sedml:language:sbml, src=Caravagna2010.xml]
UniformTimeCourse [initialTime=0.0, numberOfPoints=10, outputEndTime=2.0, outputStartTime=0.0, Algorithm [kisaoID=KISAO:0000019], getId()=BIOMD0000000912_sim]
Task [modelReference=BIOMD0000000912, name=Caravagna2010, simulationReference=BIOMD0000000912_sim, getId()=BIOMD0000000912_task]
DataGenerator [math=org.jmathml.ASTRootNode@53d102a2, name=time, getId()=data_gen_time]
DataGenerator [math=org.jmathml.ASTRootNode@6c45ee6e, name=T, getId()=data_gen_T]
DataGenerator [math=org.jmathml.ASTRootNode@6b3e12b5, name=E, getId()=data_gen_E]
DataGenerator [math=org.jmathml.ASTRootNode@5aac4250, name=I, getId()=data_gen_I]
org.jlibsedml.Report@c84c5553
SED-ML version level not supported, import may fail
SED-ML version level not supported, import may fail
Unsupported version, import may fail
Task (id='BIOMD0000000912_task') is compatible, solver match found in ontology: 'KISAO:0000019' matched to CVODE
SBML Import: no assignment rules.
SBML Import: no assignment rules.
LOGGER: msgLevel=MediumPriority, msgType=OverallWarning, Issues encountered during SBML Import:
WARNING: The imported model has one or more reactions that have ids/names that are longer than 64 characters.
User is STRONGLY recommeded to shorten the names to avoid problems with the length of expressions these names might be used in.
Succesful model import: SBML file /tmp/temp5292611796510883178.xml
/tmp/out/BIOMD0000000912_sim.sedml
false
cbit.vcell.solver.ode.CVodeSolverStandalone@f14e5bf
Finished: SOLVER_FINISHED:completed
Succesful execution: Model 'archive__BIOMD0000000912' Task 'Caravagna2010'.
Generating report report
.
report : /tmp/out/./BIOMD0000000912_sim.sedml/report.csv
HDF conversion successful
No PDF files found, skipping archiving plots.zip
files
Archiving resultant CSV files to reports.zip
.
### `sedml.SimulatorSupportsDataSetsWithDifferentShapes` (16.1 s)
Test that a simulator supports data generators with different shapes
Reason for skip:
[Errno 2] Unable to open file (unable to open file: name = '/tmp/tmpedxm0u9g/sedml/sedml.SimulatorSupportsDataSetsWithDifferentShapes/1/outputs/reports.h5', errno = 2, error message = 'No such file or directory', flags = 0, o_flags = 0)
Log:
VCell CLI input archive /tmp/in/archive.omex
Sep 20, 2021 12:37:56 AM java.util.prefs.FileSystemPreferences$1 run
INFO: Created user preferences directory.
TempPath Created: /tmp/vcell_temp_568e97c8-e01a-4bf7-9b61-b3df37a7a63a7933104762965513092
Python 3.8.10
utilPath: /usr/local/app/vcell/installDir/python/vcell_cli_utils
cliUtilPath: /usr/local/app/vcell/installDir/python/vcell_cli_utils/vcell_cli_utils
cliPath: /usr/local/app/vcell/installDir/python/vcell_cli_utils/vcell_cli_utils/cli.py
statusPath: /usr/local/app/vcell/installDir/python/vcell_cli_utils/vcell_cli_utils/status.py
SED-ML version level not supported, import may fail
SED-ML version level not supported, import may fail
Unsupported version, import may fail
Found 1 SED-ML document(s) with 1 model(s), 2 simulation(s), 2 task(s), 1 report(s), 0 plot2D(s), and 0 plot3D(s)
Successful translation: SED-ML file BIOMD0000000912_sim.sedml
name: BIOMD0000000912_sim
SED-ML version level not supported, import may fail
SED-ML version level not supported, import may fail
Unsupported version, import may fail
Model [id=BIOMD0000000912, name=Caravagna2010 - Tumour suppression by immune system, language=urn:sedml:language:sbml, src=Caravagna2010.xml]
UniformTimeCourse [initialTime=0.0, numberOfPoints=10, outputEndTime=2.0, outputStartTime=0.0, Algorithm [kisaoID=KISAO:0000019], getId()=BIOMD0000000912_sim]
UniformTimeCourse [initialTime=0.0, numberOfPoints=20, outputEndTime=4.0, outputStartTime=0.0, Algorithm [kisaoID=KISAO:0000019], getId()=BIOMD0000000912_sim__copy_2]
Task [modelReference=BIOMD0000000912, name=Caravagna2010, simulationReference=BIOMD0000000912_sim, getId()=BIOMD0000000912_task]
Task [modelReference=BIOMD0000000912, name=null, simulationReference=BIOMD0000000912_simcopy_2, getId()=BIOMD0000000912_taskcopy_2]
DataGenerator [math=org.jmathml.ASTRootNode@146dfe6, name=time, getId()=data_gen_time]
DataGenerator [math=org.jmathml.ASTRootNode@4716be8b, name=T, getId()=data_gen_T]
DataGenerator [math=org.jmathml.ASTRootNode@1fc32e4f, name=E, getId()=data_gen_E]
DataGenerator [math=org.jmathml.ASTRootNode@2f67b837, name=I, getId()=data_gen_I]
DataGenerator [math=org.jmathml.ASTRootNode@1869fbd2, name=null, getId()=data_gen_time__copy_2]
DataGenerator [math=org.jmathml.ASTRootNode@6af9fcb2, name=null, getId()=data_gen_T__copy_2]
DataGenerator [math=org.jmathml.ASTRootNode@6cce16f4, name=null, getId()=data_gen_E__copy_2]
DataGenerator [math=org.jmathml.ASTRootNode@7efaad5a, name=null, getId()=data_gen_I__copy_2]
org.jlibsedml.Report@c84c5553
SED-ML version level not supported, import may fail
SED-ML version level not supported, import may fail
Unsupported version, import may fail
Task (id='BIOMD0000000912_task') is compatible, solver match found in ontology: 'KISAO:0000019' matched to CVODE
SBML Import: no assignment rules.
SBML Import: no assignment rules.
LOGGER: msgLevel=MediumPriority, msgType=OverallWarning, Issues encountered during SBML Import:
WARNING: The imported model has one or more reactions that have ids/names that are longer than 64 characters.
User is STRONGLY recommeded to shorten the names to avoid problems with the length of expressions these names might be used in.
Succesful model import: SBML file /tmp/temp7605034053237394631.xml
Task (id='BIOMD0000000912_task__copy_2') is compatible, solver match found in ontology: 'KISAO:0000019' matched to CVODE
/tmp/out/BIOMD0000000912_sim.sedml
false
cbit.vcell.solver.ode.CVodeSolverStandalone@1bdbf9be
Finished: SOLVER_FINISHED:completed
Succesful execution: Model 'archive__BIOMD0000000912' Task 'Caravagna2010'.
/tmp/out/BIOMD0000000912_sim.sedml
false
cbit.vcell.solver.ode.CVodeSolverStandalone@606fc505
Finished: SOLVER_FINISHED:completed
Succesful execution: Model 'archive__BIOMD0000000912' Task 'BIOMD0000000912_task__copy_2'.
Generating report report
.
report : /tmp/out/./BIOMD0000000912_sim.sedml/report.csv
Traceback (most recent call last):
File "/usr/local/app/vcell/installDir/python/vcell_cli_utils/vcell_cli_utils/cli.py", line 416, in
fire.Fire({
File "/usr/local/lib/python3.8/dist-packages/fire/core.py", line 141, in Fire
component_trace = _Fire(component, args, parsed_flag_args, context, name)
File "/usr/local/lib/python3.8/dist-packages/fire/core.py", line 466, in _Fire
component, remaining_args = _CallAndUpdateTrace(
File "/usr/local/lib/python3.8/dist-packages/fire/core.py", line 681, in _CallAndUpdateTrace
component = fn(*varargs, **kwargs)
File "/usr/local/app/vcell/installDir/python/vcell_cli_utils/vcell_cli_utils/cli.py", line 151, in exec_plot_output_sed_doc
data_set_df = pd.read_csv(report_filename, header=None).T
File "/usr/local/lib/python3.8/dist-packages/pandas/util/_decorators.py", line 311, in wrapper
return func(*args, **kwargs)
File "/usr/local/lib/python3.8/dist-packages/pandas/io/parsers/readers.py", line 586, in read_csv
return _read(filepath_or_buffer, kwds)
File "/usr/local/lib/python3.8/dist-packages/pandas/io/parsers/readers.py", line 488, in _read
return parser.read(nrows)
File "/usr/local/lib/python3.8/dist-packages/pandas/io/parsers/readers.py", line 1047, in read
index, columns, col_dict = self._engine.read(nrows)
File "/usr/local/lib/python3.8/dist-packages/pandas/io/parsers/c_parser_wrapper.py", line 223, in read
chunks = self._reader.read_low_memory(nrows)
File "pandas/_libs/parsers.pyx", line 801, in pandas._libs.parsers.TextReader.read_low_memory
File "pandas/_libs/parsers.pyx", line 857, in pandas._libs.parsers.TextReader._read_rows
File "pandas/_libs/parsers.pyx", line 843, in pandas._libs.parsers.TextReader._tokenize_rows
File "pandas/_libs/parsers.pyx", line 1925, in pandas._libs.parsers.raise_parser_error
pandas.errors.ParserError: Error tokenizing data. C error: Expected 14 fields in line 5, saw 24
HDF conversion failed
No PDF files found, skipping archiving plots.zip
files
Archiving resultant CSV files to reports.zip
.
### `sedml.SimulatorSupportsModelAttributeChanges` (13.3 s)
Test that a simulator supports changes to the attributes of model elements
Reason for skip:
The execution of the COMBINE/OMEX archive did not fail as expected
Log:
VCell CLI input archive /tmp/in/archive.omex
Sep 20, 2021 12:38:12 AM java.util.prefs.FileSystemPreferences$1 run
INFO: Created user preferences directory.
TempPath Created: /tmp/vcell_temp_8bb97434-b992-43c5-80a1-e725ab63cde27591147715550710318
Python 3.8.10
utilPath: /usr/local/app/vcell/installDir/python/vcell_cli_utils
cliUtilPath: /usr/local/app/vcell/installDir/python/vcell_cli_utils/vcell_cli_utils
cliPath: /usr/local/app/vcell/installDir/python/vcell_cli_utils/vcell_cli_utils/cli.py
statusPath: /usr/local/app/vcell/installDir/python/vcell_cli_utils/vcell_cli_utils/status.py
SED-ML version level not supported, import may fail
SED-ML version level not supported, import may fail
Unsupported version, import may fail
Found 1 SED-ML document(s) with 1 model(s), 1 simulation(s), 1 task(s), 1 report(s), 0 plot2D(s), and 0 plot3D(s)
Successful translation: SED-ML file BIOMD0000000912_sim.sedml
name: BIOMD0000000912_sim
SED-ML version level not supported, import may fail
SED-ML version level not supported, import may fail
Unsupported version, import may fail
Model [id=BIOMD0000000912, name=Caravagna2010 - Tumour suppression by immune system, language=urn:sedml:language:sbml, src=Caravagna2010.xml]
UniformTimeCourse [initialTime=0.0, numberOfPoints=10, outputEndTime=2.0, outputStartTime=0.0, Algorithm [kisaoID=KISAO:0000019], getId()=BIOMD0000000912_sim]
Task [modelReference=BIOMD0000000912, name=Caravagna2010, simulationReference=BIOMD0000000912_sim, getId()=BIOMD0000000912_task]
DataGenerator [math=org.jmathml.ASTRootNode@31ff43be, name=time, getId()=data_gen_time]
DataGenerator [math=org.jmathml.ASTRootNode@5b6ec132, name=T, getId()=data_gen_T]
DataGenerator [math=org.jmathml.ASTRootNode@5c44c582, name=E, getId()=data_gen_E]
DataGenerator [math=org.jmathml.ASTRootNode@67d18ed7, name=I, getId()=data_gen_I]
org.jlibsedml.Report@c84c5553
SED-ML version level not supported, import may fail
SED-ML version level not supported, import may fail
Unsupported version, import may fail
Task (id='BIOMD0000000912_task') is compatible, solver match found in ontology: 'KISAO:0000019' matched to CVODE
SBML Import: no assignment rules.
SBML Import: no assignment rules.
LOGGER: msgLevel=MediumPriority, msgType=OverallWarning, Issues encountered during SBML Import:
WARNING: The imported model has one or more reactions that have ids/names that are longer than 64 characters.
User is STRONGLY recommeded to shorten the names to avoid problems with the length of expressions these names might be used in.
Succesful model import: SBML file /tmp/temp6154337308107010078.xml
/tmp/out/BIOMD0000000912_sim.sedml
false
cbit.vcell.solver.ode.CVodeSolverStandalone@7068f7ca
Finished: SOLVER_FINISHED:completed
Succesful execution: Model 'archive__BIOMD0000000912' Task 'Caravagna2010'.
Generating report report
.
report : /tmp/out/./BIOMD0000000912_sim.sedml/report.csv
HDF conversion successful
No PDF files found, skipping archiving plots.zip
files
Archiving resultant CSV files to reports.zip
.
### `sedml.SimulatorSupportsRepeatedTasksWithChanges` (5.3 s)
Test that a simulator supports repeated tasks with multiple subtasks
Reason for skip:
[Errno 2] Unable to open file (unable to open file: name = '/tmp/tmpedxm0u9g/sedml/sedml.SimulatorSupportsRepeatedTasksWithChanges/2/outputs/reports.h5', errno = 2, error message = 'No such file or directory', flags = 0, o_flags = 0)
Log:
VCell CLI input archive /tmp/in/archive.omex
Sep 20, 2021 12:39:07 AM java.util.prefs.FileSystemPreferences$1 run
INFO: Created user preferences directory.
TempPath Created: /tmp/vcell_temp_31daf5c8-3ec4-4e6b-a132-5262d2c721146088489230353416318
Python 3.8.10
utilPath: /usr/local/app/vcell/installDir/python/vcell_cli_utils
cliUtilPath: /usr/local/app/vcell/installDir/python/vcell_cli_utils/vcell_cli_utils
cliPath: /usr/local/app/vcell/installDir/python/vcell_cli_utils/vcell_cli_utils/cli.py
statusPath: /usr/local/app/vcell/installDir/python/vcell_cli_utils/vcell_cli_utils/status.py
SED-ML version level not supported, import may fail
java.lang.NullPointerException
at org.jlibsedml.SEDMLReader.getRepeatedTask(SEDMLReader.java:284)
at org.jlibsedml.SEDMLReader.getSedDocument(SEDMLReader.java:781)
at org.jlibsedml.Libsedml.buildDocumentFromXMLTree(Libsedml.java:200)
at org.jlibsedml.Libsedml.readDocumentFromString(Libsedml.java:360)
at org.jlibsedml.Libsedml.readDocument(Libsedml.java:92)
at org.vcell.cli.CLIStandalone.singleExecOmex(CLIStandalone.java:135)
at org.vcell.cli.CLIStandalone.main(CLIStandalone.java:65)
SED-ML processing for /tmp/vcell_temp_31daf5c8-3ec4-4e6b-a132-5262d2c721146088489230353416318/BIOMD0000000912_sim.sedml failed with error: null
org.jlibsedml.XMLException
at org.jlibsedml.SEDMLReader.getSedDocument(SEDMLReader.java:815)
at org.jlibsedml.Libsedml.buildDocumentFromXMLTree(Libsedml.java:200)
at org.jlibsedml.Libsedml.readDocumentFromString(Libsedml.java:360)
at org.jlibsedml.Libsedml.readDocument(Libsedml.java:92)
at org.vcell.cli.CLIStandalone.singleExecOmex(CLIStandalone.java:135)
at org.vcell.cli.CLIStandalone.main(CLIStandalone.java:65)
One or more errors encountered while executing archive /tmp/in/archive.omex
VCell CLI input archive /tmp/in/archive.omex
Sep 20, 2021 12:39:09 AM java.util.prefs.FileSystemPreferences$1 run
INFO: Created user preferences directory.
TempPath Created: /tmp/vcell_temp_47fa4320-0a2e-4811-9470-e8be7d79ba176945263846711361130
Python 3.8.10
utilPath: /usr/local/app/vcell/installDir/python/vcell_cli_utils
cliUtilPath: /usr/local/app/vcell/installDir/python/vcell_cli_utils/vcell_cli_utils
cliPath: /usr/local/app/vcell/installDir/python/vcell_cli_utils/vcell_cli_utils/cli.py
statusPath: /usr/local/app/vcell/installDir/python/vcell_cli_utils/vcell_cli_utils/status.py
SED-ML version level not supported, import may fail
java.lang.NullPointerException
at org.jlibsedml.SEDMLReader.getRepeatedTask(SEDMLReader.java:284)
at org.jlibsedml.SEDMLReader.getSedDocument(SEDMLReader.java:781)
at org.jlibsedml.Libsedml.buildDocumentFromXMLTree(Libsedml.java:200)
at org.jlibsedml.Libsedml.readDocumentFromString(Libsedml.java:360)
at org.jlibsedml.Libsedml.readDocument(Libsedml.java:92)
at org.vcell.cli.CLIStandalone.singleExecOmex(CLIStandalone.java:135)
at org.vcell.cli.CLIStandalone.main(CLIStandalone.java:65)
SED-ML processing for /tmp/vcell_temp_47fa4320-0a2e-4811-9470-e8be7d79ba176945263846711361130/BIOMD0000000912_sim.sedml failed with error: null
org.jlibsedml.XMLException
at org.jlibsedml.SEDMLReader.getSedDocument(SEDMLReader.java:815)
at org.jlibsedml.Libsedml.buildDocumentFromXMLTree(Libsedml.java:200)
at org.jlibsedml.Libsedml.readDocumentFromString(Libsedml.java:360)
at org.jlibsedml.Libsedml.readDocument(Libsedml.java:92)
at org.vcell.cli.CLIStandalone.singleExecOmex(CLIStandalone.java:135)
at org.vcell.cli.CLIStandalone.main(CLIStandalone.java:65)
One or more errors encountered while executing archive /tmp/in/archive.omex
### `sedml.SimulatorSupportsRepeatedTasksWithFunctionalRangeVariables` (5.6 s)
Test that a simulator supports repeated tasks over nested functional ranges based on model (specification) variables
Reason for skip:
[Errno 2] Unable to open file (unable to open file: name = '/tmp/tmpedxm0u9g/sedml/sedml.SimulatorSupportsRepeatedTasksWithFunctionalRangeVariables/2/outputs/reports.h5', errno = 2, error message = 'No such file or directory', flags = 0, o_flags = 0)
Log:
VCell CLI input archive /tmp/in/archive.omex
Sep 20, 2021 12:39:12 AM java.util.prefs.FileSystemPreferences$1 run
INFO: Created user preferences directory.
TempPath Created: /tmp/vcell_temp_49ba5553-378f-4050-8b29-260cfc4248426438268258697778047
Python 3.8.10
utilPath: /usr/local/app/vcell/installDir/python/vcell_cli_utils
cliUtilPath: /usr/local/app/vcell/installDir/python/vcell_cli_utils/vcell_cli_utils
cliPath: /usr/local/app/vcell/installDir/python/vcell_cli_utils/vcell_cli_utils/cli.py
statusPath: /usr/local/app/vcell/installDir/python/vcell_cli_utils/vcell_cli_utils/status.py
SED-ML version level not supported, import may fail
java.lang.NullPointerException
at org.jlibsedml.SEDMLReader.getRepeatedTask(SEDMLReader.java:284)
at org.jlibsedml.SEDMLReader.getSedDocument(SEDMLReader.java:781)
at org.jlibsedml.Libsedml.buildDocumentFromXMLTree(Libsedml.java:200)
at org.jlibsedml.Libsedml.readDocumentFromString(Libsedml.java:360)
at org.jlibsedml.Libsedml.readDocument(Libsedml.java:92)
at org.vcell.cli.CLIStandalone.singleExecOmex(CLIStandalone.java:135)
at org.vcell.cli.CLIStandalone.main(CLIStandalone.java:65)
SED-ML processing for /tmp/vcell_temp_49ba5553-378f-4050-8b29-260cfc4248426438268258697778047/BIOMD0000000912_sim.sedml failed with error: null
org.jlibsedml.XMLException
at org.jlibsedml.SEDMLReader.getSedDocument(SEDMLReader.java:815)
at org.jlibsedml.Libsedml.buildDocumentFromXMLTree(Libsedml.java:200)
at org.jlibsedml.Libsedml.readDocumentFromString(Libsedml.java:360)
at org.jlibsedml.Libsedml.readDocument(Libsedml.java:92)
at org.vcell.cli.CLIStandalone.singleExecOmex(CLIStandalone.java:135)
at org.vcell.cli.CLIStandalone.main(CLIStandalone.java:65)
One or more errors encountered while executing archive /tmp/in/archive.omex
VCell CLI input archive /tmp/in/archive.omex
Sep 20, 2021 12:39:15 AM java.util.prefs.FileSystemPreferences$1 run
INFO: Created user preferences directory.
TempPath Created: /tmp/vcell_temp_e2bc40a7-fbc4-4914-be87-8a0d56fd54554721295930056154058
Python 3.8.10
utilPath: /usr/local/app/vcell/installDir/python/vcell_cli_utils
cliUtilPath: /usr/local/app/vcell/installDir/python/vcell_cli_utils/vcell_cli_utils
cliPath: /usr/local/app/vcell/installDir/python/vcell_cli_utils/vcell_cli_utils/cli.py
statusPath: /usr/local/app/vcell/installDir/python/vcell_cli_utils/vcell_cli_utils/status.py
SED-ML version level not supported, import may fail
java.lang.NullPointerException
at org.jlibsedml.SEDMLReader.getRepeatedTask(SEDMLReader.java:284)
at org.jlibsedml.SEDMLReader.getSedDocument(SEDMLReader.java:781)
at org.jlibsedml.Libsedml.buildDocumentFromXMLTree(Libsedml.java:200)
at org.jlibsedml.Libsedml.readDocumentFromString(Libsedml.java:360)
at org.jlibsedml.Libsedml.readDocument(Libsedml.java:92)
at org.vcell.cli.CLIStandalone.singleExecOmex(CLIStandalone.java:135)
at org.vcell.cli.CLIStandalone.main(CLIStandalone.java:65)
SED-ML processing for /tmp/vcell_temp_e2bc40a7-fbc4-4914-be87-8a0d56fd54554721295930056154058/BIOMD0000000912_sim.sedml failed with error: null
org.jlibsedml.XMLException
at org.jlibsedml.SEDMLReader.getSedDocument(SEDMLReader.java:815)
at org.jlibsedml.Libsedml.buildDocumentFromXMLTree(Libsedml.java:200)
at org.jlibsedml.Libsedml.readDocumentFromString(Libsedml.java:360)
at org.jlibsedml.Libsedml.readDocument(Libsedml.java:92)
at org.vcell.cli.CLIStandalone.singleExecOmex(CLIStandalone.java:135)
at org.vcell.cli.CLIStandalone.main(CLIStandalone.java:65)
One or more errors encountered while executing archive /tmp/in/archive.omex
### `sedml.SimulatorSupportsRepeatedTasksWithFunctionalRanges` (2.6 s)
Test that a simulator supports repeated tasks over functional ranges
Reason for skip:
[Errno 2] Unable to open file (unable to open file: name = '/tmp/tmpedxm0u9g/sedml/sedml.SimulatorSupportsRepeatedTasksWithFunctionalRanges/1/outputs/reports.h5', errno = 2, error message = 'No such file or directory', flags = 0, o_flags = 0)
Log:
VCell CLI input archive /tmp/in/archive.omex
Sep 20, 2021 12:39:18 AM java.util.prefs.FileSystemPreferences$1 run
INFO: Created user preferences directory.
TempPath Created: /tmp/vcell_temp_5099f011-1a09-4a31-a511-ac789af3986a7142523164912930075
Python 3.8.10
utilPath: /usr/local/app/vcell/installDir/python/vcell_cli_utils
cliUtilPath: /usr/local/app/vcell/installDir/python/vcell_cli_utils/vcell_cli_utils
cliPath: /usr/local/app/vcell/installDir/python/vcell_cli_utils/vcell_cli_utils/cli.py
statusPath: /usr/local/app/vcell/installDir/python/vcell_cli_utils/vcell_cli_utils/status.py
SED-ML version level not supported, import may fail
java.lang.NullPointerException
at org.jlibsedml.SEDMLReader.getRepeatedTask(SEDMLReader.java:284)
at org.jlibsedml.SEDMLReader.getSedDocument(SEDMLReader.java:781)
at org.jlibsedml.Libsedml.buildDocumentFromXMLTree(Libsedml.java:200)
at org.jlibsedml.Libsedml.readDocumentFromString(Libsedml.java:360)
at org.jlibsedml.Libsedml.readDocument(Libsedml.java:92)
at org.vcell.cli.CLIStandalone.singleExecOmex(CLIStandalone.java:135)
at org.vcell.cli.CLIStandalone.main(CLIStandalone.java:65)
SED-ML processing for /tmp/vcell_temp_5099f011-1a09-4a31-a511-ac789af3986a7142523164912930075/BIOMD0000000912_sim.sedml failed with error: null
org.jlibsedml.XMLException
at org.jlibsedml.SEDMLReader.getSedDocument(SEDMLReader.java:815)
at org.jlibsedml.Libsedml.buildDocumentFromXMLTree(Libsedml.java:200)
at org.jlibsedml.Libsedml.readDocumentFromString(Libsedml.java:360)
at org.jlibsedml.Libsedml.readDocument(Libsedml.java:92)
at org.vcell.cli.CLIStandalone.singleExecOmex(CLIStandalone.java:135)
at org.vcell.cli.CLIStandalone.main(CLIStandalone.java:65)
One or more errors encountered while executing archive /tmp/in/archive.omex
### `sedml.SimulatorSupportsRepeatedTasksWithLinearUniformRanges` (2.6 s)
Te ...
- After correcting your simulator, please edit the first block of this issue to re-initiate this validation.
-
- The complete log of your validation/submission job, including further information about the failure, is available for 90 days [here](https://github.com/biosimulators/Biosimulators/actions/runs/1251830701). The results of the validation of your image will also be available shortly as a JSON file. A link to this file will be available from the "Artifacts" section at the bottom of [this page](https://github.com/biosimulators/Biosimulators/actions/runs/1251830701).
@moraru the GitHub action looks correct. When creating issues by hand, the YAML needs to be formatted correctly.
Thank you @vcdaemon for your submission to the BioSimulators simulator validation/submission system!
The BioSimulators validator bot is validating the specifications of your simulator, validating your Docker image, and committing your simulator to the BioSimulators registry.
We will discuss any concerns with your submission in this issue.
A complete log of your simulator submission job will be available for 90 days here. The results of the validation of your tool will also be saved as a JSON file. A link to this file will be available for 90 days from the "Artifacts" section at the bottom of this page.
The specifications of your simulator is valid!
Executed 73 test cases
Passed 26 test cases:
cli.CliDescribesSupportedEnvironmentVariablesInline
cli.CliDisplaysHelpInline
cli.CliDisplaysVersionInformationInline
combine_archive.CombineArchiveHasSedDocumentsInNestedDirectories
combine_archive.CombineArchiveHasSedDocumentsWithSameNamesInDifferentInNestedDirectories
combine_archive.WhenACombineArchiveHasAMasterFileSimulatorOnlyExecutesThisFile
combine_archive.WhenACombineArchiveHasNoMasterFileSimulatorExecutesAllSedDocuments
docker_image.DeclaresSupportedEnvironmentVariables
docker_image.DefaultUserIsRoot
docker_image.HasBioContainersLabels
docker_image.HasOciLabels
docker_image.SingularityImageExecutesSimulationsSuccessfully
published_project.SimulatorCanExecutePublishedProject:sbml-core/Caravagna-J-Theor-Biol-2010-tumor-suppressive-oscillations
published_project.SimulatorCanExecutePublishedProject:sbml-core/Ciliberto-J-Cell-Biol-2003-morphogenesis-checkpoint-Fehlberg
published_project.SimulatorCanExecutePublishedProject:sbml-core/Ciliberto-J-Cell-Biol-2003-morphogenesis-checkpoint-continuous
published_project.SimulatorCanExecutePublishedProject:sbml-core/Elowitz-Nature-2000-Repressilator
published_project.SimulatorCanExecutePublishedProject:sbml-core/Vilar-PNAS-2002-minimal-circardian-clock
published_project.SimulatorCanExecutePublishedProject:sbml-core/Vilar-PNAS-2002-minimal-circardian-clock-continuous
published_project.SimulatorCanExecutePublishedProject:sbml-core/Vilar-PNAS-2002-minimal-circardian-clock-discrete-NRM
results_report.SimulatorGeneratesReportsOfSimulationResults
sedml.SimulatorSupportsAlgorithmParameters
sedml.SimulatorSupportsDataGeneratorsWithDifferentShapes
sedml.SimulatorSupportsModelsSimulationsTasksDataGeneratorsAndReports
sedml.SimulatorSupportsMultipleReportsPerSedDocument
sedml.SimulatorSupportsMultipleTasksPerSedDocument
sedml.SimulatorSupportsUniformTimeCoursesWithNonZeroOutputStartTimes
Failed 3 test cases:
sedml.SimulatorProducesLinear2DPlots
sedml.SimulatorProducesLogarithmic2DPlots
sedml.SimulatorProducesMultiplePlots
Skipped 44 test cases:
log.SimulatorReportsTheStatusOfTheExecutionOfCombineArchives
log.SimulatorReportsTheStatusOfTheExecutionOfSedDocuments
log.SimulatorReportsTheStatusOfTheExecutionOfSedOutputs
log.SimulatorReportsTheStatusOfTheExecutionOfSedTasks
published_project.SimulatorCanExecutePublishedProject:bngl/Dolan-PLoS-Comput-Biol-2015-NHEJ
published_project.SimulatorCanExecutePublishedProject:bngl/test-bngl
published_project.SimulatorCanExecutePublishedProject:cellml/Elowitz-Nature-2000-Repressilator
published_project.SimulatorCanExecutePublishedProject:cellml/Lorenz-system
published_project.SimulatorCanExecutePublishedProject:mass/Bordbar-Cell-Syst-2015-RBC-metabolism
published_project.SimulatorCanExecutePublishedProject:neuroml-lems/Hodgkin-Huxley-cell-CVODE
published_project.SimulatorCanExecutePublishedProject:neuroml-lems/Hodgkin-Huxley-cell-Euler
published_project.SimulatorCanExecutePublishedProject:rba/Escherichia-coli-K12-WT
published_project.SimulatorCanExecutePublishedProject:sbml-core/Edelstein-Biol-Cybern-1996-Nicotinic-excitation
published_project.SimulatorCanExecutePublishedProject:sbml-core/Parmar-BMC-Syst-Biol-2017-iron-distribution
published_project.SimulatorCanExecutePublishedProject:sbml-core/Szymanska-J-Theor-Biol-2009-HSP-synthesis
published_project.SimulatorCanExecutePublishedProject:sbml-core/Tomida-EMBO-J-2003-NFAT-translocation
published_project.SimulatorCanExecutePublishedProject:sbml-core/Varusai-Sci-Rep-2018-mTOR-signaling-LSODA-LSODAR-SBML
published_project.SimulatorCanExecutePublishedProject:sbml-core/Vilar-PNAS-2002-minimal-circardian-clock-discrete-SSA
published_project.SimulatorCanExecutePublishedProject:sbml-fbc/Escherichia-coli-core-metabolism
published_project.SimulatorCanExecutePublishedProject:sbml-qual/Chaouiya-BMC-Syst-Biol-2013-EGF-TNFa-signaling
published_project.SimulatorCanExecutePublishedProject:sbml-qual/Irons-J-Theor-Biol-2009-yeast-cell-cycle
published_project.SimulatorCanExecutePublishedProject:smoldyn/Lotka-Volterra
published_project.SimulatorCanExecutePublishedProject:xpp/Wu-Biochem-Pharmacol-2006-pituitary-GH3-cells
sedml.SimulatorCanResolveModelSourcesDefinedByUriFragments
sedml.SimulatorCanResolveModelSourcesDefinedByUriFragmentsAndInheritChanges
sedml.SimulatorProducesLinear3DPlots
sedml.SimulatorProducesLogarithmic3DPlots
sedml.SimulatorProducesReportsWithCuratedNumberOfDimensions
sedml.SimulatorSupportsAddReplaceRemoveModelElementChanges
sedml.SimulatorSupportsComputeModelChanges
sedml.SimulatorSupportsDataSetsWithDifferentShapes
sedml.SimulatorSupportsModelAttributeChanges
sedml.SimulatorSupportsRepeatedTasksWithChanges
sedml.SimulatorSupportsRepeatedTasksWithFunctionalRangeVariables
sedml.SimulatorSupportsRepeatedTasksWithFunctionalRanges
sedml.SimulatorSupportsRepeatedTasksWithLinearUniformRanges
sedml.SimulatorSupportsRepeatedTasksWithLogarithmicUniformRanges
sedml.SimulatorSupportsRepeatedTasksWithMultipleSubTasks
sedml.SimulatorSupportsRepeatedTasksWithNestedFunctionalRanges
sedml.SimulatorSupportsRepeatedTasksWithNestedRepeatedTasks
sedml.SimulatorSupportsRepeatedTasksWithSubTasksOfMixedTypes
sedml.SimulatorSupportsRepeatedTasksWithVectorRanges
sedml.SimulatorSupportsSubstitutingAlgorithms
sedml.SimulatorSupportsUniformTimeCoursesWithNonZeroInitialTimes
sedml.SimulatorProducesLinear2DPlots
(12.5 s)Test that a simulator produces linear 2D plots
Exception:
Simulator did not record the following data generators:
- `data_gen_E`
- `data_gen_I`
- `data_gen_T`
- `data_gen_time`
Log:
VCell CLI input archive /tmp/in/archive.omex
Sep 20, 2021 4:08:32 PM java.util.prefs.FileSystemPreferences$1 run
INFO: Created user preferences directory.
-----------------------------------------------------------------------------------------------------
TempPath Created: /tmp/vcell_temp_94d4e678-580f-4c0c-ba7a-46b9037583ff5427738682535092877
Python 3.8.10
utilPath: /usr/local/app/vcell/installDir/python/vcell_cli_utils
cliUtilPath: /usr/local/app/vcell/installDir/python/vcell_cli_utils/vcell_cli_utils
cliPath: /usr/local/app/vcell/installDir/python/vcell_cli_utils/vcell_cli_utils/cli.py
statusPath: /usr/local/app/vcell/installDir/python/vcell_cli_utils/vcell_cli_utils/status.py
SED-ML version level not supported, import may fail
SED-ML version level not supported, import may fail
Unsupported version, import may fail
Found 1 SED-ML document(s) with 1 model(s), 1 simulation(s), 1 task(s), 0 report(s), 1 plot2D(s), and 0 plot3D(s)
Successful translation: SED-ML file BIOMD0000000912_sim.sedml
-----------------------------------------------------------------------------------------------------
name: BIOMD0000000912_sim
SED-ML version level not supported, import may fail
SED-ML version level not supported, import may fail
Unsupported version, import may fail
Model [id=BIOMD0000000912, name=Caravagna2010 - Tumour suppression by immune system, language=urn:sedml:language:sbml, src=Caravagna2010.xml]
UniformTimeCourse [initialTime=0.0, numberOfPoints=10, outputEndTime=2.0, outputStartTime=0.0, Algorithm [kisaoID=KISAO:0000019], getId()=BIOMD0000000912_sim]
Task [modelReference=BIOMD0000000912, name=Caravagna2010, simulationReference=BIOMD0000000912_sim, getId()=BIOMD0000000912_task]
DataGenerator [math=org.jmathml.ASTRootNode@401f7633, name=time, getId()=data_gen_time]
DataGenerator [math=org.jmathml.ASTRootNode@31ff43be, name=T, getId()=data_gen_T]
DataGenerator [math=org.jmathml.ASTRootNode@5b6ec132, name=E, getId()=data_gen_E]
DataGenerator [math=org.jmathml.ASTRootNode@5c44c582, name=I, getId()=data_gen_I]
Plot2D [listOfCurves=[Curve [id=curve_0, logX=false, logY=false, name=null, xDataReference=data_gen_time, yDataReference=data_gen_time], Curve [id=curve_1, logX=false, logY=false, name=null, xDataReference=data_gen_T, yDataReference=data_gen_T], Curve [id=curve_2, logX=false, logY=false, name=null, xDataReference=data_gen_E, yDataReference=data_gen_E], Curve [id=curve_3, logX=false, logY=false, name=null, xDataReference=data_gen_I, yDataReference=data_gen_I]], name=null]
org.jlibsedml.Report@903fe012
SED-ML version level not supported, import may fail
SED-ML version level not supported, import may fail
Unsupported version, import may fail
Task (id='BIOMD0000000912_task') is compatible, solver match found in ontology: 'KISAO:0000019' matched to CVODE
SBML Import: no assignment rules.
SBML Import: no assignment rules.
LOGGER: msgLevel=MediumPriority, msgType=OverallWarning, Issues encountered during SBML Import:
- WARNING: The imported model has one or more reactions that have ids/names that are longer than 64 characters.
User is STRONGLY recommeded to shorten the names to avoid problems with the length of expressions these names might be used in.
Succesful model import: SBML file /tmp/temp9113570874236514709.xml
/tmp/out/BIOMD0000000912_sim.sedml
false
cbit.vcell.solver.ode.CVodeSolverStandalone@27f3b6d6
Finished: SOLVER_FINISHED:completed
Succesful execution: Model 'archive__BIOMD0000000912' Task 'Caravagna2010'.
-----------------------------------------------------------------------------------------------------
Ignoring unsupported output `plot_0` while CSV generation.
Generating report `__plot__plot_0`.
HDF conversion successful
/usr/local/app/vcell/installDir/python/vcell_cli_utils/vcell_cli_utils/cli.py:409: DeprecationWarning: `np.float` is a deprecated alias for the builtin `float`. To silence this warning, use `float` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.float64` here.
Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations
np.float), y=df[data['y']].astype(np.float), ax=ax, label=curve)
/usr/local/app/vcell/installDir/python/vcell_cli_utils/vcell_cli_utils/cli.py:409: DeprecationWarning: `np.float` is a deprecated alias for the builtin `float`. To silence this warning, use `float` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.float64` here.
Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations
np.float), y=df[data['y']].astype(np.float), ax=ax, label=curve)
/usr/local/app/vcell/installDir/python/vcell_cli_utils/vcell_cli_utils/cli.py:409: DeprecationWarning: `np.float` is a deprecated alias for the builtin `float`. To silence this warning, use `float` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.float64` here.
Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations
np.float), y=df[data['y']].astype(np.float), ax=ax, label=curve)
/usr/local/app/vcell/installDir/python/vcell_cli_utils/vcell_cli_utils/cli.py:409: DeprecationWarning: `np.float` is a deprecated alias for the builtin `float`. To silence this warning, use `float` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.float64` here.
Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations
np.float), y=df[data['y']].astype(np.float), ax=ax, label=curve)
Archiving resultant PDF files to `plots.zip`.
Archiving resultant CSV files to `reports.zip`.
sedml.SimulatorProducesLogarithmic2DPlots
(12.5 s)Test that a simulator produces logarithmic 2D plots
Exception:
Simulator did not record the following data generators:
- `data_gen_E`
- `data_gen_I`
- `data_gen_T`
- `data_gen_time`
Log:
VCell CLI input archive /tmp/in/archive.omex
Sep 20, 2021 4:08:45 PM java.util.prefs.FileSystemPreferences$1 run
INFO: Created user preferences directory.
-----------------------------------------------------------------------------------------------------
TempPath Created: /tmp/vcell_temp_0543698d-e2b6-49b3-8c56-f001700cc1c1689276177924590365
Python 3.8.10
utilPath: /usr/local/app/vcell/installDir/python/vcell_cli_utils
cliUtilPath: /usr/local/app/vcell/installDir/python/vcell_cli_utils/vcell_cli_utils
cliPath: /usr/local/app/vcell/installDir/python/vcell_cli_utils/vcell_cli_utils/cli.py
statusPath: /usr/local/app/vcell/installDir/python/vcell_cli_utils/vcell_cli_utils/status.py
SED-ML version level not supported, import may fail
SED-ML version level not supported, import may fail
Unsupported version, import may fail
Found 1 SED-ML document(s) with 1 model(s), 1 simulation(s), 1 task(s), 0 report(s), 1 plot2D(s), and 0 plot3D(s)
Successful translation: SED-ML file BIOMD0000000912_sim.sedml
-----------------------------------------------------------------------------------------------------
name: BIOMD0000000912_sim
SED-ML version level not supported, import may fail
SED-ML version level not supported, import may fail
Unsupported version, import may fail
Model [id=BIOMD0000000912, name=Caravagna2010 - Tumour suppression by immune system, language=urn:sedml:language:sbml, src=Caravagna2010.xml]
UniformTimeCourse [initialTime=0.0, numberOfPoints=10, outputEndTime=2.0, outputStartTime=0.0, Algorithm [kisaoID=KISAO:0000019], getId()=BIOMD0000000912_sim]
Task [modelReference=BIOMD0000000912, name=Caravagna2010, simulationReference=BIOMD0000000912_sim, getId()=BIOMD0000000912_task]
DataGenerator [math=org.jmathml.ASTRootNode@401f7633, name=time, getId()=data_gen_time]
DataGenerator [math=org.jmathml.ASTRootNode@31ff43be, name=T, getId()=data_gen_T]
DataGenerator [math=org.jmathml.ASTRootNode@5b6ec132, name=E, getId()=data_gen_E]
DataGenerator [math=org.jmathml.ASTRootNode@5c44c582, name=I, getId()=data_gen_I]
Plot2D [listOfCurves=[Curve [id=curve_0, logX=true, logY=true, name=null, xDataReference=data_gen_time, yDataReference=data_gen_time], Curve [id=curve_1, logX=true, logY=true, name=null, xDataReference=data_gen_T, yDataReference=data_gen_T], Curve [id=curve_2, logX=true, logY=true, name=null, xDataReference=data_gen_E, yDataReference=data_gen_E], Curve [id=curve_3, logX=true, logY=true, name=null, xDataReference=data_gen_I, yDataReference=data_gen_I]], name=null]
org.jlibsedml.Report@903fe012
SED-ML version level not supported, import may fail
SED-ML version level not supported, import may fail
Unsupported version, import may fail
Task (id='BIOMD0000000912_task') is compatible, solver match found in ontology: 'KISAO:0000019' matched to CVODE
SBML Import: no assignment rules.
SBML Import: no assignment rules.
LOGGER: msgLevel=MediumPriority, msgType=OverallWarning, Issues encountered during SBML Import:
- WARNING: The imported model has one or more reactions that have ids/names that are longer than 64 characters.
User is STRONGLY recommeded to shorten the names to avoid problems with the length of expressions these names might be used in.
Succesful model import: SBML file /tmp/temp487651342420418791.xml
/tmp/out/BIOMD0000000912_sim.sedml
false
cbit.vcell.solver.ode.CVodeSolverStandalone@27f3b6d6
Finished: SOLVER_FINISHED:completed
Succesful execution: Model 'archive__BIOMD0000000912' Task 'Caravagna2010'.
-----------------------------------------------------------------------------------------------------
Ignoring unsupported output `plot_0` while CSV generation.
Generating report `__plot__plot_0`.
HDF conversion successful
/usr/local/app/vcell/installDir/python/vcell_cli_utils/vcell_cli_utils/cli.py:409: DeprecationWarning: `np.float` is a deprecated alias for the builtin `float`. To silence this warning, use `float` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.float64` here.
Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations
np.float), y=df[data['y']].astype(np.float), ax=ax, label=curve)
/usr/local/app/vcell/installDir/python/vcell_cli_utils/vcell_cli_utils/cli.py:409: DeprecationWarning: `np.float` is a deprecated alias for the builtin `float`. To silence this warning, use `float` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.float64` here.
Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations
np.float), y=df[data['y']].astype(np.float), ax=ax, label=curve)
/usr/local/app/vcell/installDir/python/vcell_cli_utils/vcell_cli_utils/cli.py:409: DeprecationWarning: `np.float` is a deprecated alias for the builtin `float`. To silence this warning, use `float` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.float64` here.
Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations
np.float), y=df[data['y']].astype(np.float), ax=ax, label=curve)
/usr/local/app/vcell/installDir/python/vcell_cli_utils/vcell_cli_utils/cli.py:409: DeprecationWarning: `np.float` is a deprecated alias for the builtin `float`. To silence this warning, use `float` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.float64` here.
Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations
np.float), y=df[data['y']].astype(np.float), ax=ax, label=curve)
Archiving resultant PDF files to `plots.zip`.
Archiving resultant CSV files to `reports.zip`.
sedml.SimulatorProducesMultiplePlots
(17.0 s)Test that a simulator produces multiple plots
Exception:
Simulator did not record the following data generators:
- `data_gen_E`
- `data_gen_time`
Log:
VCell CLI input archive /tmp/in/archive.omex
Sep 20, 2021 4:09:02 PM java.util.prefs.FileSystemPreferences$1 run
INFO: Created user preferences directory.
-----------------------------------------------------------------------------------------------------
TempPath Created: /tmp/vcell_temp_7b186450-4e1b-4549-aeb5-041d679a48271588957091542727641
Python 3.8.10
utilPath: /usr/local/app/vcell/installDir/python/vcell_cli_utils
cliUtilPath: /usr/local/app/vcell/installDir/python/vcell_cli_utils/vcell_cli_utils
cliPath: /usr/local/app/vcell/installDir/python/vcell_cli_utils/vcell_cli_utils/cli.py
statusPath: /usr/local/app/vcell/installDir/python/vcell_cli_utils/vcell_cli_utils/status.py
SED-ML version level not supported, import may fail
SED-ML version level not supported, import may fail
Unsupported version, import may fail
Found 1 SED-ML document(s) with 1 model(s), 1 simulation(s), 1 task(s), 0 report(s), 2 plot2D(s), and 0 plot3D(s)
Successful translation: SED-ML file BIOMD0000000912_sim.sedml
-----------------------------------------------------------------------------------------------------
name: BIOMD0000000912_sim
SED-ML version level not supported, import may fail
SED-ML version level not supported, import may fail
Unsupported version, import may fail
Model [id=BIOMD0000000912, name=Caravagna2010 - Tumour suppression by immune system, language=urn:sedml:language:sbml, src=Caravagna2010.xml]
UniformTimeCourse [initialTime=0.0, numberOfPoints=10, outputEndTime=2.0, outputStartTime=0.0, Algorithm [kisaoID=KISAO:0000019], getId()=BIOMD0000000912_sim]
Task [modelReference=BIOMD0000000912, name=Caravagna2010, simulationReference=BIOMD0000000912_sim, getId()=BIOMD0000000912_task]
DataGenerator [math=org.jmathml.ASTRootNode@51fadaff, name=time, getId()=data_gen_time]
DataGenerator [math=org.jmathml.ASTRootNode@401f7633, name=T, getId()=data_gen_T]
DataGenerator [math=org.jmathml.ASTRootNode@31ff43be, name=E, getId()=data_gen_E]
DataGenerator [math=org.jmathml.ASTRootNode@5b6ec132, name=I, getId()=data_gen_I]
Plot2D [listOfCurves=[Curve [id=curve_0, logX=false, logY=false, name=null, xDataReference=data_gen_time, yDataReference=data_gen_time], Curve [id=curve_2, logX=false, logY=false, name=null, xDataReference=data_gen_E, yDataReference=data_gen_E]], name=null]
Plot2D [listOfCurves=[Curve [id=curve_1, logX=false, logY=false, name=null, xDataReference=data_gen_T, yDataReference=data_gen_T], Curve [id=curve_3, logX=false, logY=false, name=null, xDataReference=data_gen_I, yDataReference=data_gen_I]], name=null]
org.jlibsedml.Report@903fe012
org.jlibsedml.Report@903fe013
SED-ML version level not supported, import may fail
SED-ML version level not supported, import may fail
Unsupported version, import may fail
Task (id='BIOMD0000000912_task') is compatible, solver match found in ontology: 'KISAO:0000019' matched to CVODE
SBML Import: no assignment rules.
SBML Import: no assignment rules.
LOGGER: msgLevel=MediumPriority, msgType=OverallWarning, Issues encountered during SBML Import:
- WARNING: The imported model has one or more reactions that have ids/names that are longer than 64 characters.
User is STRONGLY recommeded to shorten the names to avoid problems with the length of expressions these names might be used in.
Succesful model import: SBML file /tmp/temp7829647290610092367.xml
/tmp/out/BIOMD0000000912_sim.sedml
false
cbit.vcell.solver.ode.CVodeSolverStandalone@718607eb
Finished: SOLVER_FINISHED:completed
Succesful execution: Model 'archive__BIOMD0000000912' Task 'Caravagna2010'.
-----------------------------------------------------------------------------------------------------
Ignoring unsupported output `plot_0` while CSV generation.
Ignoring unsupported output `plot_1` while CSV generation.
Generating report `__plot__plot_0`.
Generating report `__plot__plot_1`.
HDF conversion successful
/usr/local/app/vcell/installDir/python/vcell_cli_utils/vcell_cli_utils/cli.py:409: DeprecationWarning: `np.float` is a deprecated alias for the builtin `float`. To silence this warning, use `float` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.float64` here.
Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations
np.float), y=df[data['y']].astype(np.float), ax=ax, label=curve)
/usr/local/app/vcell/installDir/python/vcell_cli_utils/vcell_cli_utils/cli.py:409: DeprecationWarning: `np.float` is a deprecated alias for the builtin `float`. To silence this warning, use `float` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.float64` here.
Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations
np.float), y=df[data['y']].astype(np.float), ax=ax, label=curve)
/usr/local/app/vcell/installDir/python/vcell_cli_utils/vcell_cli_utils/cli.py:409: DeprecationWarning: `np.float` is a deprecated alias for the builtin `float`. To silence this warning, use `float` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.float64` here.
Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations
np.float), y=df[data['y']].astype(np.float), ax=ax, label=curve)
/usr/local/app/vcell/installDir/python/vcell_cli_utils/vcell_cli_utils/cli.py:409: DeprecationWarning: `np.float` is a deprecated alias for the builtin `float`. To silence this warning, use `float` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.float64` here.
Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations
np.float), y=df[data['y']].astype(np.float), ax=ax, label=curve)
Archiving resultant PDF files to `plots.zip`.
Archiving resultant CSV files to `reports.zip`.
cli.CliDescribesSupportedEnvironmentVariablesInline
(1.5 s)Test that the inline help for a command-line interface describes the environment variables that the simulator supports.
Warnings:
The inline help for a command-line interface for a simulation tool should describe the environment variables that the simulation tool supports.
The command-line interface does not describe the following standard environment variables recognized by BioSimulators:
- 'ALGORITHM_SUBSTITUTION_POLICY'
- 'BUNDLE_OUTPUTS'
- 'COLLECT_COMBINE_ARCHIVE_RESULTS'
- 'COLLECT_SED_DOCUMENT_RESULTS'
- 'DEBUG'
- 'H5_REPORTS_PATH'
- 'KEEP_INDIVIDUAL_OUTPUTS'
- 'LOG_PATH'
- 'PLOTS_PATH'
- 'REPORTS_PATH'
- 'REPORT_FORMATS'
- 'SAVE_PLOT_DATA'
- 'VALIDATE_IMAGES'
- 'VALIDATE_OMEX_MANIFESTS'
- 'VALIDATE_OMEX_METADATA'
- 'VALIDATE_RESULTS'
- 'VALIDATE_SEDML'
- 'VALIDATE_SEDML_MODELS'
- 'VERBOSE'
- 'VIZ_FORMATS'
If the simulation tool implements these variables, they should be described in the inline help for its command-line interface.
Note, support for these environment variables is optional. Simulation tools are not required to support these variables.
Log:
docker_image.DeclaresSupportedEnvironmentVariables
(0.7 s)Test if a Docker image declares the environment variables that is supports
Warnings:
Docker images for simulation tools should declare the environment variables that they support.
The Docker image does not declare the following standard environment variables recognized by BioSimulators:
- 'BUNDLE_OUTPUTS'
- 'COLLECT_COMBINE_ARCHIVE_RESULTS'
- 'COLLECT_SED_DOCUMENT_RESULTS'
- 'DEBUG'
- 'H5_REPORTS_PATH'
- 'KEEP_INDIVIDUAL_OUTPUTS'
- 'LOG_PATH'
- 'PLOTS_PATH'
- 'REPORTS_PATH'
- 'REPORT_FORMATS'
- 'SAVE_PLOT_DATA'
- 'VALIDATE_IMAGES'
- 'VALIDATE_OMEX_MANIFESTS'
- 'VALIDATE_OMEX_METADATA'
- 'VALIDATE_RESULTS'
- 'VALIDATE_SEDML'
- 'VALIDATE_SEDML_MODELS'
- 'VERBOSE'
- 'VIZ_FORMATS'
If the simulation tool implements these variables, they should be declared in the Dockerfile for the Docker image for the simulator.
Note, support for these environment variables is optional. Simulation tools are not required to support these variables.
Log:
docker_image.HasBioContainersLabels
(0.6 s)Test that a Docker image has BioContainers labels with metadata about the image
Warnings:
The Docker image should have the following BioContainers labels:
extra.identifiers.biotools
Log:
docker_image.HasOciLabels
(0.6 s)Test that a Docker image has Open Container Initiative (OCI) labels with metadata about the image
Warnings:
The Docker image should have the following Open Container Initiative (OCI) labels:
org.opencontainers.image.created
org.opencontainers.image.revision
Log:
published_project.SimulatorCanExecutePublishedProject:sbml-core/Caravagna-J-Theor-Biol-2010-tumor-suppressive-oscillations
(17.0 s)Required model formats and simulation algorithms for SED tasks:
Format: format_2585
Algorithm: KISAO_0000019
Warnings:
Unexpected reports were produced:
BIOMD0000000912_sim.sedml/Figure_1_bottom_left
Log:
VCell CLI input archive /tmp/in/Caravagna-J-Theor-Biol-2010-tumor-suppressive-oscillations.omex
Sep 20, 2021 4:13:31 PM java.util.prefs.FileSystemPreferences$1 run
INFO: Created user preferences directory.
-----------------------------------------------------------------------------------------------------
TempPath Created: /tmp/vcell_temp_0ae4adfc-6736-4f72-9906-f6983125ee1b6872558008375086564
Python 3.8.10
utilPath: /usr/local/app/vcell/installDir/python/vcell_cli_utils
cliUtilPath: /usr/local/app/vcell/installDir/python/vcell_cli_utils/vcell_cli_utils
cliPath: /usr/local/app/vcell/installDir/python/vcell_cli_utils/vcell_cli_utils/cli.py
statusPath: /usr/local/app/vcell/installDir/python/vcell_cli_utils/vcell_cli_utils/status.py
SED-ML version level not supported, import may fail
SED-ML version level not supported, import may fail
Unsupported version, import may fail
Found 1 SED-ML document(s) with 1 model(s), 1 simulation(s), 1 task(s), 1 report(s), 1 plot2D(s), and 0 plot3D(s)
Successful translation: SED-ML file BIOMD0000000912_sim.sedml
-----------------------------------------------------------------------------------------------------
name: BIOMD0000000912_sim
SED-ML version level not supported, import may fail
SED-ML version level not supported, import may fail
Unsupported version, import may fail
Model [id=BIOMD0000000912, name=Caravagna2010 - Tumour suppression by immune system, language=urn:sedml:language:sbml, src=Caravagna2010.xml]
UniformTimeCourse [initialTime=0.0, numberOfPoints=5000, outputEndTime=1000.0, outputStartTime=0.0, Algorithm [kisaoID=KISAO:0000019], getId()=BIOMD0000000912_sim]
Task [modelReference=BIOMD0000000912, name=Caravagna2010, simulationReference=BIOMD0000000912_sim, getId()=BIOMD0000000912_task]
DataGenerator [math=org.jmathml.ASTRootNode@31ff43be, name=time, getId()=data_gen_time]
DataGenerator [math=org.jmathml.ASTRootNode@5b6ec132, name=T, getId()=data_gen_T]
DataGenerator [math=org.jmathml.ASTRootNode@5c44c582, name=E, getId()=data_gen_E]
DataGenerator [math=org.jmathml.ASTRootNode@67d18ed7, name=I, getId()=data_gen_I]
Plot2D [listOfCurves=[Curve [id=plot_1_T_time, logX=false, logY=false, name=T, xDataReference=data_gen_time, yDataReference=data_gen_T], Curve [id=plot_1_E_time, logX=false, logY=false, name=E, xDataReference=data_gen_time, yDataReference=data_gen_E], Curve [id=plot_1_I_time, logX=false, logY=false, name=I, xDataReference=data_gen_time, yDataReference=data_gen_I]], name=Figure 1 bottom, left]
org.jlibsedml.Report@c84c5553
org.jlibsedml.Report@6ca13e92
SED-ML version level not supported, import may fail
SED-ML version level not supported, import may fail
Unsupported version, import may fail
Task (id='BIOMD0000000912_task') is compatible, solver match found in ontology: 'KISAO:0000019' matched to CVODE
SBML Import: no assignment rules.
SBML Import: no assignment rules.
LOGGER: msgLevel=MediumPriority, msgType=OverallWarning, Issues encountered during SBML Import:
WARNING: The imported model has one or more reactions that have ids/names that are longer than 64 characters.
User is STRONGLY recommeded to shorten the names to avoid problems with the length of expressions these names might be used in.
Succesful model import: SBML file /tmp/temp8990510212511339106.xml
/tmp/out/BIOMD0000000912_sim.sedml
false
cbit.vcell.solver.ode.CVodeSolverStandalone@46b695ec
Finished: SOLVER_FINISHED:completed
Succesful execution: Model 'Caravagna-J-Theor-Biol-2010-tumor-suppressive-oscillations__BIOMD0000000912' Task 'Caravagna2010'.
Ignoring unsupported output Figure_1_bottom_left
while CSV generation.
Generating report report
.
Generating report __plot__Figure_1_bottom_left
.
report : /tmp/out/./BIOMD0000000912_sim.sedml/report.csv
HDF conversion successful
/usr/local/app/vcell/installDir/python/vcell_cli_utils/vcell_cli_utils/cli.py:409: DeprecationWarning: np.float
is a deprecated alias for the builtin float
. To silence this warning, use float
by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use np.float64
here.
Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations
np.float), y=df[data['y']].astype(np.float), ax=ax, label=curve)
/usr/local/app/vcell/installDir/python/vcell_cli_utils/vcell_cli_utils/cli.py:409: DeprecationWarning: np.float
is a deprecated alias for the builtin float
. To silence this warning, use float
by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use np.float64
here.
Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations
np.float), y=df[data['y']].astype(np.float), ax=ax, label=curve)
/usr/local/app/vcell/installDir/python/vcell_cli_utils/vcell_cli_utils/cli.py:409: DeprecationWarning: np.float
is a deprecated alias for the builtin float
. To silence this warning, use float
by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use np.float64
here.
Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations
np.float), y=df[data['y']].astype(np.float), ax=ax, label=curve)
Archiving resultant PDF files to plots.zip
.
Archiving resultant CSV files to reports.zip
.
### `published_project.SimulatorCanExecutePublishedProject:sbml-core/Ciliberto-J-Cell-Biol-2003-morphogenesis-checkpoint-Fehlberg` (45.5 s)
Required model formats and simulation algorithms for SED tasks:
Format: format_2585
Algorithm: KISAO_0000086
Warnings:
Unexpected reports were produced:
simulation_1.sedml/Figure_3a
simulation_1.sedml/Figure_3b
simulation_1.sedml/Figure_3c
simulation_1.sedml/Figure_3d
Log:
VCell CLI input archive /tmp/in/Ciliberto-J-Cell-Biol-2003-morphogenesis-checkpoint-Fehlberg.omex
Sep 20, 2021 4:13:48 PM java.util.prefs.FileSystemPreferences$1 run
INFO: Created user preferences directory.
-----------------------------------------------------------------------------------------------------
TempPath Created: /tmp/vcell_temp_9ab845db-34ef-4a2f-9c8d-dfe2905232da8005227952888776675
Python 3.8.10
utilPath: /usr/local/app/vcell/installDir/python/vcell_cli_utils
cliUtilPath: /usr/local/app/vcell/installDir/python/vcell_cli_utils/vcell_cli_utils
cliPath: /usr/local/app/vcell/installDir/python/vcell_cli_utils/vcell_cli_utils/cli.py
statusPath: /usr/local/app/vcell/installDir/python/vcell_cli_utils/vcell_cli_utils/status.py
SED-ML version level not supported, import may fail
SED-ML version level not supported, import may fail
Unsupported version, import may fail
Found 1 SED-ML document(s) with 1 model(s), 1 simulation(s), 1 task(s), 1 report(s), 4 plot2D(s), and 0 plot3D(s)
Successful translation: SED-ML file simulation_1.sedml
-----------------------------------------------------------------------------------------------------
name: simulation_1
SED-ML version level not supported, import may fail
SED-ML version level not supported, import may fail
Unsupported version, import may fail
Model [id=Ciliberto2003_Morphogenesis, name=Ciliberto2003_Morphogenesis_Checkpoint, language=urn:sedml:language:sbml, src=BIOMD0000000297_url.xml]
UniformTimeCourse [initialTime=0.0, numberOfPoints=200, outputEndTime=140.0, outputStartTime=0.0, Algorithm [kisaoID=KISAO:0000086], getId()=simulation_1]
Task [modelReference=Ciliberto2003_Morphogenesis, name=simulation 1, simulationReference=simulation_1, getId()=task_1]
DataGenerator [math=org.jmathml.ASTRootNode@3fc9504b, name=time, getId()=data_gen_time]
DataGenerator [math=org.jmathml.ASTRootNode@6d025197, name=Trim, getId()=data_gen_Trim]
DataGenerator [math=org.jmathml.ASTRootNode@27d4a09, name=Clb, getId()=data_gen_Clb]
DataGenerator [math=org.jmathml.ASTRootNode@7e4204e2, name=Sic, getId()=data_gen_Sic]
DataGenerator [math=org.jmathml.ASTRootNode@b7c4869, name=PTrim, getId()=data_gen_PTrim]
DataGenerator [math=org.jmathml.ASTRootNode@740d2e78, name=PClb, getId()=data_gen_PClb]
DataGenerator [math=org.jmathml.ASTRootNode@1c481ff2, name=SBF, getId()=data_gen_SBF]
DataGenerator [math=org.jmathml.ASTRootNode@72437d8d, name=IE, getId()=data_gen_IE]
DataGenerator [math=org.jmathml.ASTRootNode@1b955cac, name=Cdc20a, getId()=data_gen_Cdc20a]
DataGenerator [math=org.jmathml.ASTRootNode@676cf48, name=Cdc20, getId()=data_gen_Cdc20]
DataGenerator [math=org.jmathml.ASTRootNode@5a1de7fb, name=Cdh1, getId()=data_gen_Cdh1]
DataGenerator [math=org.jmathml.ASTRootNode@335b5620, name=Swe1, getId()=data_gen_Swe1]
DataGenerator [math=org.jmathml.ASTRootNode@29a0cdb, name=Swe1M, getId()=data_gen_Swe1M]
DataGenerator [math=org.jmathml.ASTRootNode@32a68f4f, name=PSwe1, getId()=data_gen_PSwe1]
DataGenerator [math=org.jmathml.ASTRootNode@73194df, name=PSwe1M, getId()=data_gen_PSwe1M]
DataGenerator [math=org.jmathml.ASTRootNode@6eb2384f, name=Mih1a, getId()=data_gen_Mih1a]
DataGenerator [math=org.jmathml.ASTRootNode@3c9c0d96, name=Mcm, getId()=data_gen_Mcm]
DataGenerator [math=org.jmathml.ASTRootNode@3a4621bd, name=BE, getId()=data_gen_BE]
DataGenerator [math=org.jmathml.ASTRootNode@31dadd46, name=Cln, getId()=data_gen_Cln]
DataGenerator [math=org.jmathml.ASTRootNode@4ed5eb72, name=mass, getId()=data_gen_mass]
DataGenerator [math=org.jmathml.ASTRootNode@12f9af83, name=Swe1T, getId()=data_gen_Swe1T]
Plot2D [listOfCurves=[Curve [id=curve_Figure_3a_Sic, logX=false, logY=false, name=Sic1, xDataReference=data_gen_time, yDataReference=data_gen_Sic], Curve [id=curve_Figure_3a_SBF, logX=false, logY=false, name=SBF, xDataReference=data_gen_time, yDataReference=data_gen_SBF], Curve [id=curve_Figure_3a_Clb, logX=false, logY=false, name=Clb2, xDataReference=data_gen_time, yDataReference=data_gen_Clb], Curve [id=curve_Figure_3a_Cln, logX=false, logY=false, name=Cln, xDataReference=data_gen_time, yDataReference=data_gen_Cln]], name=Figure 3a]
Plot2D [listOfCurves=[Curve [id=curve_Figure_3b_Cdc20a, logX=false, logY=false, name=Activated Cdc20, xDataReference=data_gen_time, yDataReference=data_gen_Cdc20a], Curve [id=curve_Figure_3b_Cdh1, logX=false, logY=false, name=Cdh1, xDataReference=data_gen_time, yDataReference=data_gen_Cdh1], Curve [id=curve_Figure_3b_Clb, logX=false, logY=false, name=Clb2, xDataReference=data_gen_time, yDataReference=data_gen_Clb], Curve [id=curve_Figure_3b_IE, logX=false, logY=false, name=Intermediary enzyme, xDataReference=data_gen_time, yDataReference=data_gen_IE]], name=Figure 3b]
Plot2D [listOfCurves=[Curve [id=curve_Figure_3c_Swe1, logX=false, logY=false, name=Swe1, xDataReference=data_gen_time, yDataReference=data_gen_Swe1], Curve [id=curve_Figure_3c_Swe1M, logX=false, logY=false, name=Modified Swe1, xDataReference=data_gen_time, yDataReference=data_gen_Swe1M], Curve [id=curve_Figure_3c_Swe1T, logX=false, logY=false, name=Total Swe1, xDataReference=data_gen_time, yDataReference=data_gen_Swe1T], Curve [id=curve_Figure_3c_PSwe1M, logX=false, logY=false, name=Phosphorylated, modified Swe1, xDataReference=data_gen_time, yDataReference=data_gen_PSwe1M]], name=Figure 3c]
Plot2D [listOfCurves=[Curve [id=curve_Figure_3d_mass, logX=false, logY=false, name=Mass, xDataReference=data_gen_time, yDataReference=data_gen_mass]], name=Figure 3d]
org.jlibsedml.Report@c84c5553
org.jlibsedml.Report@49f8ba87
org.jlibsedml.Report@49f8ba88
org.jlibsedml.Report@49f8ba89
org.jlibsedml.Report@49f8ba8a
SED-ML version level not supported, import may fail
SED-ML version level not supported, import may fail
Unsupported version, import may fail
Task (id='task_1') is compatible, solver match found in ontology: 'KISAO:0000086' matched to RungeKuttaFehlberg
Succesful model import: SBML file /tmp/temp1747701026570680330.xml
final tolerance=0.1 final threshold=0.060000000000000005, 552 remaining (keepAtMost=1000)
Succesful execution: Model 'Ciliberto-J-Cell-Biol-2003-morphogenesis-checkpoint-Fehlberg__Ciliberto2003_Morphogenesis' Task 'simulation 1'.
-----------------------------------------------------------------------------------------------------
Ignoring unsupported output `Figure_3a` while CSV generation.
Ignoring unsupported output `Figure_3b` while CSV generation.
Ignoring unsupported output `Figure_3c` while CSV generation.
Ignoring unsupported output `Figure_3d` while CSV generation.
Generating report `report`.
Generating report `__plot__Figure_3a`.
Generating report `__plot__Figure_3b`.
Generating report `__plot__Figure_3c`.
Generating report `__plot__Figure_3d`.
report : /tmp/out/./simulation_1.sedml/report.csv
HDF conversion successful
/usr/local/app/vcell/installDir/python/vcell_cli_utils/vcell_cli_utils/cli.py:409: DeprecationWarning: `np.float` is a deprecated alias for the builtin `float`. To silence this warning, use `float` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.float64` here.
Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations
np.float), y=df[data['y']].astype(np.float), ax=ax, label=curve)
/usr/local/app/vcell/installDir/python/vcell_cli_utils/vcell_cli_utils/cli.py:409: DeprecationWarning: `np.float` is a deprecated alias for the builtin `float`. To silence this warning, use `float` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.float64` here.
Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations
np.float), y=df[data['y']].astype(np.float), ax=ax, label=curve)
/usr/local/app/vcell/installDir/python/vcell_cli_utils/vcell_cli_utils/cli.py:409: DeprecationWarning: `np.float` is a deprecated alias for the builtin `float`. To silence this warning, use `float` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.float64` here.
Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations
np.float), y=df[data['y']].astype(np.float), ax=ax, label=curve)
/usr/local/app/vcell/installDir/python/vcell_cli_utils/vcell_cli_utils/cli.py:409: DeprecationWarning: `np.float` is a deprecated alias for the builtin `float`. To silence this warning, use `float` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.float64` here.
Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations
np.float), y=df[data['y']].astype(np.float), ax=ax, label=curve)
/usr/local/app/vcell/installDir/python/vcell_cli_utils/vcell_cli_utils/cli.py:409: DeprecationWarning: `np.float` is a deprecated alias for the builtin `float`. To silence this warning, use `float` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.float64` here.
Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations
np.float), y=df[data['y']].astype(np.float), ax=ax, label=curve)
/usr/local/app/vcell/installDir/python/vcell_cli_utils/vcell_cli_utils/cli.py:409: DeprecationWarning: `np.float` is a deprecated alias for the builtin `float`. To silence this warning, use `float` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.float64` here.
Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations
np.float), y=df[data['y']].astype(np.float), ax=ax, label=curve)
/usr/local/app/vcell/installDir/python/vcell_cli_utils/vcell_cli_utils/cli.py:409: DeprecationWarning: `np.float` is a deprecated alias for the builtin `float`. To silence this warning, use `float` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.float64` here.
Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations
np.float), y=df[data['y']].astype(np.float), ax=ax, label=curve)
/usr/local/app/vcell/installDir/python/vcell_cli_utils/vcell_cli_utils/cli.py:409: DeprecationWarning: `np.float` is a deprecated alias for the builtin `float`. To silence this warning, use `float` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.float64` here.
Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations
np.float), y=df[data['y']].astype(np.float), ax=ax, label=curve)
/usr/local/app/vcell/installDir/python/vcell_cli_utils/vcell_cli_utils/cli.py:409: DeprecationWarning: `np.float` is a deprecated alias for the builtin `float`. To silence this warning, use `float` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.float64` here.
Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations
np.float), y=df[data['y']].astype(np.float), ax=ax, label=curve)
/usr/local/app/vcell/installDir/python/vcell_cli_utils/vcell_cli_utils/cli.py:409: DeprecationWarning: `np.float` is a deprecated alias for the builtin `float`. To silence this warning, use `float` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.float64` here.
Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations
np.float), y=df[data['y']].astype(np.float), ax=ax, label=curve)
/usr/local/app/vcell/installDir/python/vcell_cli_utils/vcell_cli_utils/cli.py:409: DeprecationWarning: `np.float` is a deprecated alias for the builtin `float`. To silence this warning, use `float` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.float64` here.
Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations
np.float), y=df[data['y']].astype(np.float), ax=ax, label=curve)
/usr/local/app/vcell/installDir/python/vcell_cli_utils/vcell_cli_utils/cli.py:409: DeprecationWarning: `np.float` is a deprecated alias for the builtin `float`. To silence this warning, use `float` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.float64` here.
Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations
np.float), y=df[data['y']].astype(np.float), ax=ax, label=curve)
/usr/local/app/vcell/installDir/python/vcell_cli_utils/vcell_cli_utils/cli.py:409: DeprecationWarning: `np.float` is a deprecated alias for the builtin `float`. To silence this warning, use `float` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.float64` here.
Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations
np.float), y=df[data['y']].astype(np.float), ax=ax, label=curve)
Archiving resultant PDF files to `plots.zip`.
Archiving resultant CSV files to `reports.zip`.
published_project.SimulatorCanExecutePublishedProject:sbml-core/Ciliberto-J-Cell-Biol-2003-morphogenesis-checkpoint-continuous
(43.5 s)Required model formats and simulation algorithms for SED tasks:
Format: format_2585
Algorithm: KISAO_0000019
Warnings:
Unexpected reports were produced:
simulation_1.sedml/Figure_3a
simulation_1.sedml/Figure_3b
simulation_1.sedml/Figure_3c
simulation_1.sedml/Figure_3d
Log:
VCell CLI input archive /tmp/in/Ciliberto-J-Cell-Biol-2003-morphogenesis-checkpoint-continuous.omex
Sep 20, 2021 4:14:34 PM java.util.prefs.FileSystemPreferences$1 run
INFO: Created user preferences directory.
-----------------------------------------------------------------------------------------------------
TempPath Created: /tmp/vcell_temp_a65b09be-afbe-4c41-86ff-e7af8750035a339796656571647120
Python 3.8.10
utilPath: /usr/local/app/vcell/installDir/python/vcell_cli_utils
cliUtilPath: /usr/local/app/vcell/installDir/python/vcell_cli_utils/vcell_cli_utils
cliPath: /usr/local/app/vcell/installDir/python/vcell_cli_utils/vcell_cli_utils/cli.py
statusPath: /usr/local/app/vcell/installDir/python/vcell_cli_utils/vcell_cli_utils/status.py
SED-ML version level not supported, import may fail
SED-ML version level not supported, import may fail
Unsupported version, import may fail
Found 1 SED-ML document(s) with 1 model(s), 1 simulation(s), 1 task(s), 1 report(s), 4 plot2D(s), and 0 plot3D(s)
Successful translation: SED-ML file simulation_1.sedml
-----------------------------------------------------------------------------------------------------
name: simulation_1
SED-ML version level not supported, import may fail
SED-ML version level not supported, import may fail
Unsupported version, import may fail
Model [id=Ciliberto2003_Morphogenesis, name=Ciliberto2003_Morphogenesis_Checkpoint, language=urn:sedml:language:sbml, src=BIOMD0000000297_url.xml]
UniformTimeCourse [initialTime=0.0, numberOfPoints=200, outputEndTime=140.0, outputStartTime=0.0, Algorithm [kisaoID=KISAO:0000019], getId()=simulation_1]
Task [modelReference=Ciliberto2003_Morphogenesis, name=simulation 1, simulationReference=simulation_1, getId()=task_1]
DataGenerator [math=org.jmathml.ASTRootNode@3fc9504b, name=time, getId()=data_gen_time]
DataGenerator [math=org.jmathml.ASTRootNode@6d025197, name=Trim, getId()=data_gen_Trim]
DataGenerator [math=org.jmathml.ASTRootNode@27d4a09, name=Clb, getId()=data_gen_Clb]
DataGenerator [math=org.jmathml.ASTRootNode@7e4204e2, name=Sic, getId()=data_gen_Sic]
DataGenerator [math=org.jmathml.ASTRootNode@b7c4869, name=PTrim, getId()=data_gen_PTrim]
DataGenerator [math=org.jmathml.ASTRootNode@740d2e78, name=PClb, getId()=data_gen_PClb]
DataGenerator [math=org.jmathml.ASTRootNode@1c481ff2, name=SBF, getId()=data_gen_SBF]
DataGenerator [math=org.jmathml.ASTRootNode@72437d8d, name=IE, getId()=data_gen_IE]
DataGenerator [math=org.jmathml.ASTRootNode@1b955cac, name=Cdc20a, getId()=data_gen_Cdc20a]
DataGenerator [math=org.jmathml.ASTRootNode@676cf48, name=Cdc20, getId()=data_gen_Cdc20]
DataGenerator [math=org.jmathml.ASTRootNode@5a1de7fb, name=Cdh1, getId()=data_gen_Cdh1]
DataGenerator [math=org.jmathml.ASTRootNode@335b5620, name=Swe1, getId()=data_gen_Swe1]
DataGenerator [math=org.jmathml.ASTRootNode@29a0cdb, name=Swe1M, getId()=data_gen_Swe1M]
DataGenerator [math=org.jmathml.ASTRootNode@32a68f4f, name=PSwe1, getId()=data_gen_PSwe1]
DataGenerator [math=org.jmathml.ASTRootNode@73194df, name=PSwe1M, getId()=data_gen_PSwe1M]
DataGenerator [math=org.jmathml.ASTRootNode@6eb2384f, name=Mih1a, getId()=data_gen_Mih1a]
DataGenerator [math=org.jmathml.ASTRootNode@3c9c0d96, name=Mcm, getId()=data_gen_Mcm]
DataGenerator [math=org.jmathml.ASTRootNode@3a4621bd, name=BE, getId()=data_gen_BE]
DataGenerator [math=org.jmathml.ASTRootNode@31dadd46, name=Cln, getId()=data_gen_Cln]
DataGenerator [math=org.jmathml.ASTRootNode@4ed5eb72, name=mass, getId()=data_gen_mass]
DataGenerator [math=org.jmathml.ASTRootNode@12f9af83, name=Swe1T, getId()=data_gen_Swe1T]
Plot2D [listOfCurves=[Curve [id=curve_Figure_3a_Sic, logX=false, logY=false, name=Sic1, xDataReference=data_gen_time, yDataReference=data_gen_Sic], Curve [id=curve_Figure_3a_SBF, logX=false, logY=false, name=SBF, xDataReference=data_gen_time, yDataReference=data_gen_SBF], Curve [id=curve_Figure_3a_Clb, logX=false, logY=false, name=Clb2, xDataReference=data_gen_time, yDataReference=data_gen_Clb], Curve [id=curve_Figure_3a_Cln, logX=false, logY=false, name=Cln, xDataReference=data_gen_time, yDataReference=data_gen_Cln]], name=Figure 3a]
Plot2D [listOfCurves=[Curve [id=curve_Figure_3b_Cdc20a, logX=false, logY=false, name=Activated Cdc20, xDataReference=data_gen_time, yDataReference=data_gen_Cdc20a], Curve [id=curve_Figure_3b_Cdh1, logX=false, logY=false, name=Cdh1, xDataReference=data_gen_time, yDataReference=data_gen_Cdh1], Curve [id=curve_Figure_3b_Clb, logX=false, logY=false, name=Clb2, xDataReference=data_gen_time, yDataReference=data_gen_Clb], Curve [id=curve_Figure_3b_IE, logX=false, logY=false, name=Intermediary enzyme, xDataReference=data_gen_time, yDataReference=data_gen_IE]], name=Figure 3b]
Plot2D [listOfCurves=[Curve [id=curve_Figure_3c_Swe1, logX=false, logY=false, name=Swe1, xDataReference=data_gen_time, yDataReference=data_gen_Swe1], Curve [id=curve_Figure_3c_Swe1M, logX=false, logY=false, name=Modified Swe1, xDataReference=data_gen_time, yDataReference=data_gen_Swe1M], Curve [id=curve_Figure_3c_Swe1T, logX=false, logY=false, name=Total Swe1, xDataReference=data_gen_time, yDataReference=data_gen_Swe1T], Curve [id=curve_Figure_3c_PSwe1M, logX=false, logY=false, name=Phosphorylated, modified Swe1, xDataReference=data_gen_time, yDataReference=data_gen_PSwe1M]], name=Figure 3c]
Plot2D [listOfCurves=[Curve [id=curve_Figure_3d_mass, logX=false, logY=false, name=Mass, xDataReference=data_gen_time, yDataReference=data_gen_mass]], name=Figure 3d]
org.jlibsedml.Report@c84c5553
org.jlibsedml.Report@49f8ba87
org.jlibsedml.Report@49f8ba88
org.jlibsedml.Report@49f8ba89
org.jlibsedml.Report@49f8ba8a
SED-ML version level not supported, import may fail
SED-ML version level not supported, import may fail
Unsupported version, import may fail
Task (id='task_1') is compatible, solver match found in ontology: 'KISAO:0000019' matched to CVODE
Succesful model import: SBML file /tmp/temp4540837862748211640.xml
/tmp/out/simulation_1.sedml
false
cbit.vcell.solver.ode.CVodeSolverStandalone@5d5a51b1
Finished: SOLVER_FINISHED:completed
Succesful execution: Model 'Ciliberto-J-Cell-Biol-2003-morphogenesis-checkpoint-continuous__Ciliberto2003_Morphogenesis' Task 'simulation 1'.
-----------------------------------------------------------------------------------------------------
Ignoring unsupported output `Figure_3a` while CSV generation.
Ignoring unsupported output `Figure_3b` while CSV generation.
Ignoring unsupported output `Figure_3c` while CSV generation.
Ignoring unsupported output `Figure_3d` while CSV generation.
Generating report `report`.
Generating report `__plot__Figure_3a`.
Generating report `__plot__Figure_3b`.
Generating report `__plot__Figure_3c`.
Generating report `__plot__Figure_3d`.
report : /tmp/out/./simulation_1.sedml/report.csv
HDF conversion successful
/usr/local/app/vcell/installDir/python/vcell_cli_utils/vcell_cli_utils/cli.py:409: DeprecationWarning: `np.float` is a deprecated alias for the builtin `float`. To silence this warning, use `float` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.float64` here.
Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations
np.float), y=df[data['y']].astype(np.float), ax=ax, label=curve)
/usr/local/app/vcell/installDir/python/vcell_cli_utils/vcell_cli_utils/cli.py:409: DeprecationWarning: `np.float` is a deprecated alias for the builtin `float`. To silence this warning, use `float` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.float64` here.
Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations
np.float), y=df[data['y']].astype(np.float), ax=ax, label=curve)
/usr/local/app/vcell/installDir/python/vcell_cli_utils/vcell_cli_utils/cli.py:409: DeprecationWarning: `np.float` is a deprecated alias for the builtin `float`. To silence this warning, use `float` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.float64` here.
Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations
np.float), y=df[data['y']].astype(np.float), ax=ax, label=curve)
/usr/local/app/vcell/installDir/python/vcell_cli_utils/vcell_cli_utils/cli.py:409: DeprecationWarning: `np.float` is a deprecated alias for the builtin `float`. To silence this warning, use `float` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.float64` here.
Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations
np.float), y=df[data['y']].astype(np.float), ax=ax, label=curve)
/usr/local/app/vcell/installDir/python/vcell_cli_utils/vcell_cli_utils/cli.py:409: DeprecationWarning: `np.float` is a deprecated alias for the builtin `float`. To silence this warning, use `float` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.float64` here.
Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations
np.float), y=df[data['y']].astype(np.float), ax=ax, label=curve)
/usr/local/app/vcell/installDir/python/vcell_cli_utils/vcell_cli_utils/cli.py:409: DeprecationWarning: `np.float` is a deprecated alias for the builtin `float`. To silence this warning, use `float` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.float64` here.
Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations
np.float), y=df[data['y']].astype(np.float), ax=ax, label=curve)
/usr/local/app/vcell/installDir/python/vcell_cli_utils/vcell_cli_utils/cli.py:409: DeprecationWarning: `np.float` is a deprecated alias for the builtin `float`. To silence this warning, use `float` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.float64` here.
Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations
np.float), y=df[data['y']].astype(np.float), ax=ax, label=curve)
/usr/local/app/vcell/installDir/python/vcell_cli_utils/vcell_cli_utils/cli.py:409: DeprecationWarning: `np.float` is a deprecated alias for the builtin `float`. To silence this warning, use `float` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.float64` here.
Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations
np.float), y=df[data['y']].astype(np.float), ax=ax, label=curve)
/usr/local/app/vcell/installDir/python/vcell_cli_utils/vcell_cli_utils/cli.py:409: DeprecationWarning: `np.float` is a deprecated alias for the builtin `float`. To silence this warning, use `float` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.float64` here.
Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations
np.float), y=df[data['y']].astype(np.float), ax=ax, label=curve)
/usr/local/app/vcell/installDir/python/vcell_cli_utils/vcell_cli_utils/cli.py:409: DeprecationWarning: `np.float` is a deprecated alias for the builtin `float`. To silence this warning, use `float` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.float64` here.
Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations
np.float), y=df[data['y']].astype(np.float), ax=ax, label=curve)
/usr/local/app/vcell/installDir/python/vcell_cli_utils/vcell_cli_utils/cli.py:409: DeprecationWarning: `np.float` is a deprecated alias for the builtin `float`. To silence this warning, use `float` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.float64` here.
Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations
np.float), y=df[data['y']].astype(np.float), ax=ax, label=curve)
/usr/local/app/vcell/installDir/python/vcell_cli_utils/vcell_cli_utils/cli.py:409: DeprecationWarning: `np.float` is a deprecated alias for the builtin `float`. To silence this warning, use `float` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.float64` here.
Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations
np.float), y=df[data['y']].astype(np.float), ax=ax, label=curve)
/usr/local/app/vcell/installDir/python/vcell_cli_utils/vcell_cli_utils/cli.py:409: DeprecationWarning: `np.float` is a deprecated alias for the builtin `float`. To silence this warning, use `float` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.float64` here.
Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations
np.float), y=df[data['y']].astype(np.float), ax=ax, label=curve)
Archiving resultant PDF files to `plots.zip`.
Archiving resultant CSV files to `reports.zip`.
published_project.SimulatorCanExecutePublishedProject:sbml-core/Elowitz-Nature-2000-Repressilator
(18.3 s)Required model formats and simulation algorithms for SED tasks:
Format: format_2585
Algorithm: KISAO_0000019
Warnings:
Unexpected reports were produced:
simulation.sedml/Figure_1c
Log:
VCell CLI input archive /tmp/in/Elowitz-Nature-2000-Repressilator.omex
Sep 20, 2021 4:15:17 PM java.util.prefs.FileSystemPreferences$1 run
INFO: Created user preferences directory.
-----------------------------------------------------------------------------------------------------
TempPath Created: /tmp/vcell_temp_f3eb1f81-f59a-4d1d-ae98-9b888114bde96926491738044309965
Python 3.8.10
utilPath: /usr/local/app/vcell/installDir/python/vcell_cli_utils
cliUtilPath: /usr/local/app/vcell/installDir/python/vcell_cli_utils/vcell_cli_utils
cliPath: /usr/local/app/vcell/installDir/python/vcell_cli_utils/vcell_cli_utils/cli.py
statusPath: /usr/local/app/vcell/installDir/python/vcell_cli_utils/vcell_cli_utils/status.py
SED-ML version level not supported, import may fail
SED-ML version level not supported, import may fail
Unsupported version, import may fail
Found 1 SED-ML document(s) with 1 model(s), 1 simulation(s), 1 task(s), 1 report(s), 1 plot2D(s), and 0 plot3D(s)
Successful translation: SED-ML file simulation.sedml
-----------------------------------------------------------------------------------------------------
name: simulation
SED-ML version level not supported, import may fail
SED-ML version level not supported, import may fail
Unsupported version, import may fail
Model [id=model, name=null, language=urn:sedml:language:sbml, src=BIOMD0000000012_url.xml]
UniformTimeCourse [initialTime=0.0, numberOfPoints=600, outputEndTime=1000.0, outputStartTime=400.0, Algorithm [kisaoID=KISAO:0000019], getId()=simulation]
Task [modelReference=model, name=null, simulationReference=simulation, getId()=task]
DataGenerator [math=org.jmathml.ASTRootNode@8576fa0, name=time, getId()=data_gen_time]
DataGenerator [math=org.jmathml.ASTRootNode@7582ff54, name=LacI protein, getId()=data_gen_px]
DataGenerator [math=org.jmathml.ASTRootNode@67545b57, name=TetR protein, getId()=data_gen_py]
DataGenerator [math=org.jmathml.ASTRootNode@6c2c1385, name=cI protein, getId()=data_gen_pz]
DataGenerator [math=org.jmathml.ASTRootNode@5f354bcf, name=LacI mRNA, getId()=data_gen_x]
DataGenerator [math=org.jmathml.ASTRootNode@3daf7722, name=TetR mRNA, getId()=data_gen_y]
DataGenerator [math=org.jmathml.ASTRootNode@78641d23, name=cI mRNA, getId()=data_gen_z]
Plot2D [listOfCurves=[Curve [id=Figure_1c_laci_protein, logX=false, logY=false, name=LacI protein, xDataReference=data_gen_time, yDataReference=data_gen_px], Curve [id=Figure_1c_tetr_protein, logX=false, logY=false, name=TetR protein, xDataReference=data_gen_time, yDataReference=data_gen_py], Curve [id=Figure_1c_ci_protein, logX=false, logY=false, name=cI protein, xDataReference=data_gen_time, yDataReference=data_gen_pz]], name=Figure 1c]
org.jlibsedml.Report@c84c5553
org.jlibsedml.Report@49f8ba4b
SED-ML version level not supported, import may fail
SED-ML version level not supported, import may fail
Unsupported version, import may fail
Task (id='task') is compatible, solver match found in ontology: 'KISAO:0000019' matched to CVODE
Succesful model import: SBML file /tmp/temp7257255593838517633.xml
/tmp/out/simulation.sedml
false
cbit.vcell.solver.ode.CVodeSolverStandalone@5524b72f
Finished: SOLVER_FINISHED:completed
Succesful execution: Model 'Elowitz-Nature-2000-Repressilator__model' Task 'task'.
-----------------------------------------------------------------------------------------------------
Ignoring unsupported output `Figure_1c` while CSV generation.
Generating report `report`.
Generating report `__plot__Figure_1c`.
report : /tmp/out/simulation.sedml/report.csv
HDF conversion successful
/usr/local/app/vcell/installDir/python/vcell_cli_utils/vcell_cli_utils/cli.py:409: DeprecationWarning: `np.float` is a deprecated alias for the builtin `float`. To silence this warning, use `float` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.float64` here.
Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations
np.float), y=df[data['y']].astype(np.float), ax=ax, label=curve)
/usr/local/app/vcell/installDir/python/vcell_cli_utils/vcell_cli_utils/cli.py:409: DeprecationWarning: `np.float` is a deprecated alias for the builtin `float`. To silence this warning, use `float` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.float64` here.
Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations
np.float), y=df[data['y']].astype(np.float), ax=ax, label=curve)
/usr/local/app/vcell/installDir/python/vcell_cli_utils/vcell_cli_utils/cli.py:409: DeprecationWarning: `np.float` is a deprecated alias for the builtin `float`. To silence this warning, use `float` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.float64` here.
Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations
np.float), y=df[data['y']].astype(np.float), ax=ax, label=curve)
Archiving resultant PDF files to `plots.zip`.
Archiving resultant CSV files to `reports.zip`.
published_project.SimulatorCanExecutePublishedProject:sbml-core/Vilar-PNAS-2002-minimal-circardian-clock
(118.2 s)Required model formats and simulation algorithms for SED tasks:
Format: format_2585
Algorithm: KISAO_0000019
Format: format_2585
Algorithm: KISAO_0000027
Format: format_2585
Algorithm: KISAO_0000030
Warnings:
Unexpected reports were produced:
simulation.sedml/plot2d_Euler_default
simulation.sedml/plot2d_Euler_small_step_size
simulation.sedml/plot2d_Fig_1_c
simulation.sedml/plot2d_Fig_1a
simulation.sedml/plot2d_low_delta_R_det
simulation.sedml/plot2d_low_delta_R_stoch
Log:
VCell CLI input archive /tmp/in/Vilar-PNAS-2002-minimal-circardian-clock.omex
Sep 20, 2021 4:17:06 PM java.util.prefs.FileSystemPreferences$1 run
INFO: Created user preferences directory.
-----------------------------------------------------------------------------------------------------
TempPath Created: /tmp/vcell_temp_02773dbc-0a14-4f47-81f1-3227c739869b5018930466596689888
Python 3.8.10
utilPath: /usr/local/app/vcell/installDir/python/vcell_cli_utils
cliUtilPath: /usr/local/app/vcell/installDir/python/vcell_cli_utils/vcell_cli_utils
cliPath: /usr/local/app/vcell/installDir/python/vcell_cli_utils/vcell_cli_utils/cli.py
statusPath: /usr/local/app/vcell/installDir/python/vcell_cli_utils/vcell_cli_utils/status.py
SED-ML version level not supported, import may fail
SED-ML version level not supported, import may fail
Unsupported version, import may fail
Found 1 SED-ML document(s) with 4 model(s), 6 simulation(s), 6 task(s), 6 report(s), 6 plot2D(s), and 0 plot3D(s)
Successful translation: SED-ML file simulation.sedml
-----------------------------------------------------------------------------------------------------
name: simulation
SED-ML version level not supported, import may fail
SED-ML version level not supported, import may fail
Unsupported version, import may fail
Model [id=ODE_deterministic, name=ODE deterministic, language=urn:sedml:language:sbml, src=model_ODE_deterministic.xml]
Model [id=ODE_deterministic_0, name=ODE deterministic modified, language=urn:sedml:language:sbml, src=model_ODE_deterministic.xml]
Model [id=ODE_stochastic, name=ODE stochastic, language=urn:sedml:language:sbml, src=model_ODE_stochastic.xml]
Model [id=ODE_stochastic_0, name=ODE stochastic modified, language=urn:sedml:language:sbml, src=model_ODE_stochastic.xml]
UniformTimeCourse [initialTime=0.0, numberOfPoints=400, outputEndTime=200.0, outputStartTime=0.0, Algorithm [kisaoID=KISAO:0000019 AlgorithmParameter [kisaoID=KISAO:0000211 value=1.0E-9] AlgorithmParameter [kisaoID=KISAO:0000209 value=1.0E-9] AlgorithmParameter [kisaoID=KISAO:0000467 value=1.0] ], getId()=Fig_1a]
UniformTimeCourse [initialTime=0.0, numberOfPoints=400, outputEndTime=200.0, outputStartTime=0.0, Algorithm [kisaoID=KISAO:0000019 AlgorithmParameter [kisaoID=KISAO:0000211 value=1.0E-9] AlgorithmParameter [kisaoID=KISAO:0000209 value=1.0E-9] AlgorithmParameter [kisaoID=KISAO:0000467 value=1.0] ], getId()=low_delta_R_det]
UniformTimeCourse [initialTime=0.0, numberOfPoints=1000, outputEndTime=200.0, outputStartTime=0.0, Algorithm [kisaoID=KISAO:0000030 AlgorithmParameter [kisaoID=KISAO:0000483 value=0.1] ], getId()=Euler_default]
UniformTimeCourse [initialTime=0.0, numberOfPoints=1000, outputEndTime=200.0, outputStartTime=0.0, Algorithm [kisaoID=KISAO:0000030 AlgorithmParameter [kisaoID=KISAO:0000483 value=0.001] ], getId()=Euler_small_step_size]
UniformTimeCourse [initialTime=0.0, numberOfPoints=400, outputEndTime=200.0, outputStartTime=0.0, Algorithm [kisaoID=KISAO:0000027], getId()=Fig_1_c]
UniformTimeCourse [initialTime=0.0, numberOfPoints=400, outputEndTime=200.0, outputStartTime=0.0, Algorithm [kisaoID=KISAO:0000027], getId()=low_delta_R_stoch]
Task [modelReference=ODE_deterministic, name=tsk_0_0, simulationReference=Fig_1a, getId()=tsk_0_0]
Task [modelReference=ODE_deterministic_0, name=tsk_0_1, simulationReference=low_delta_R_det, getId()=tsk_0_1]
Task [modelReference=ODE_deterministic, name=tsk_0_2, simulationReference=Euler_default, getId()=tsk_0_2]
Task [modelReference=ODE_deterministic, name=tsk_0_3, simulationReference=Euler_small_step_size, getId()=tsk_0_3]
Task [modelReference=ODE_stochastic, name=tsk_1_0, simulationReference=Fig_1_c, getId()=tsk_1_0]
Task [modelReference=ODE_stochastic_0, name=tsk_1_1, simulationReference=low_delta_R_stoch, getId()=tsk_1_1]
DataGenerator [math=org.jmathml.ASTRootNode@4ce7fffa, name=time_tsk_0_0, getId()=time_tsk_0_0]
DataGenerator [math=org.jmathml.ASTRootNode@497486b3, name=dataGen_tsk_0_0_mRNA_R, getId()=dataGen_tsk_0_0_mRNA_R]
DataGenerator [math=org.jmathml.ASTRootNode@63f8276e, name=dataGen_tsk_0_0_A, getId()=dataGen_tsk_0_0_A]
DataGenerator [math=org.jmathml.ASTRootNode@75f95314, name=dataGen_tsk_0_0_R, getId()=dataGen_tsk_0_0_R]
DataGenerator [math=org.jmathml.ASTRootNode@6127a7e, name=dataGen_tsk_0_0_PrmA, getId()=dataGen_tsk_0_0_PrmA]
DataGenerator [math=org.jmathml.ASTRootNode@6bbe2511, name=dataGen_tsk_0_0_PrmR, getId()=dataGen_tsk_0_0_PrmR]
DataGenerator [math=org.jmathml.ASTRootNode@495fac5f, name=dataGen_tsk_0_0_C, getId()=dataGen_tsk_0_0_C]
DataGenerator [math=org.jmathml.ASTRootNode@76012793, name=dataGen_tsk_0_0_PrmA_bound, getId()=dataGen_tsk_0_0_PrmA_bound]
DataGenerator [math=org.jmathml.ASTRootNode@635572a7, name=dataGen_tsk_0_0_PrmR_bound, getId()=dataGen_tsk_0_0_PrmR_bound]
DataGenerator [math=org.jmathml.ASTRootNode@79d94571, name=dataGen_tsk_0_0_mRNA_A_, getId()=dataGen_tsk_0_0_mRNA_A_]
DataGenerator [math=org.jmathml.ASTRootNode@4dd02341, name=time_tsk_0_1, getId()=time_tsk_0_1]
DataGenerator [math=org.jmathml.ASTRootNode@3212a8d7, name=dataGen_tsk_0_1_mRNA_R, getId()=dataGen_tsk_0_1_mRNA_R]
DataGenerator [math=org.jmathml.ASTRootNode@7a1a3478, name=dataGen_tsk_0_1_A, getId()=dataGen_tsk_0_1_A]
DataGenerator [math=org.jmathml.ASTRootNode@495b0487, name=dataGen_tsk_0_1_R, getId()=dataGen_tsk_0_1_R]
DataGenerator [math=org.jmathml.ASTRootNode@55dfcc6, name=dataGen_tsk_0_1_PrmA, getId()=dataGen_tsk_0_1_PrmA]
DataGenerator [math=org.jmathml.ASTRootNode@222eb8aa, name=dataGen_tsk_0_1_PrmR, getId()=dataGen_tsk_0_1_PrmR]
DataGenerator [math=org.jmathml.ASTRootNode@93cf163, name=dataGen_tsk_0_1_C, getId()=dataGen_tsk_0_1_C]
DataGenerator [math=org.jmathml.ASTRootNode@1852a3ff, name=dataGen_tsk_0_1_PrmA_bound, getId()=dataGen_tsk_0_1_PrmA_bound]
DataGenerator [math=org.jmathml.ASTRootNode@7203c7ff, name=dataGen_tsk_0_1_PrmR_bound, getId()=dataGen_tsk_0_1_PrmR_bound]
DataGenerator [math=org.jmathml.ASTRootNode@25bfcafd, name=dataGen_tsk_0_1_mRNA_A_, getId()=dataGen_tsk_0_1_mRNA_A_]
DataGenerator [math=org.jmathml.ASTRootNode@4b6690c0, name=time_tsk_0_2, getId()=time_tsk_0_2]
DataGenerator [math=org.jmathml.ASTRootNode@46268f08, name=dataGen_tsk_0_2_mRNA_R, getId()=dataGen_tsk_0_2_mRNA_R]
DataGenerator [math=org.jmathml.ASTRootNode@2a76840c, name=dataGen_tsk_0_2_A, getId()=dataGen_tsk_0_2_A]
DataGenerator [math=org.jmathml.ASTRootNode@71454b9d, name=dataGen_tsk_0_2_R, getId()=dataGen_tsk_0_2_R]
DataGenerator [math=org.jmathml.ASTRootNode@eda25e5, name=dataGen_tsk_0_2_PrmA, getId()=dataGen_tsk_0_2_PrmA]
DataGenerator [math=org.jmathml.ASTRootNode@7cf6a5f9, name=dataGen_tsk_0_2_PrmR, getId()=dataGen_tsk_0_2_PrmR]
DataGenerator [math=org.jmathml.ASTRootNode@623e088f, name=dataGen_tsk_0_2_C, getId()=dataGen_tsk_0_2_C]
DataGenerator [math=org.jmathml.ASTRootNode@39fcbef6, name=dataGen_tsk_0_2_PrmA_bound, getId()=dataGen_tsk_0_2_PrmA_bound]
DataGenerator [math=org.jmathml.ASTRootNode@66565121, name=dataGen_tsk_0_2_PrmR_bound, getId()=dataGen_tsk_0_2_PrmR_bound]
DataGenerator [math=org.jmathml.ASTRootNode@2fc6f97f, name=dataGen_tsk_0_2_mRNA_A_, getId()=dataGen_tsk_0_2_mRNA_A_]
DataGenerator [math=org.jmathml.ASTRootNode@3d2ee678, name=time_tsk_0_3, getId()=time_tsk_0_3]
DataGenerator [math=org.jmathml.ASTRootNode@6179e425, name=dataGen_tsk_0_3_mRNA_R, getId()=dataGen_tsk_0_3_mRNA_R]
DataGenerator [math=org.jmathml.ASTRootNode@35f26e72, name=dataGen_tsk_0_3_A, getId()=dataGen_tsk_0_3_A]
DataGenerator [math=org.jmathml.ASTRootNode@2d6764b2, name=dataGen_tsk_0_3_R, getId()=dataGen_tsk_0_3_R]
DataGenerator [math=org.jmathml.ASTRootNode@67304a40, name=dataGen_tsk_0_3_PrmA, getId()=dataGen_tsk_0_3_PrmA]
DataGenerator [math=org.jmathml.ASTRootNode@49c6c24f, name=dataGen_tsk_0_3_PrmR, getId()=dataGen_tsk_0_3_PrmR]
DataGenerator [math=org.jmathml.ASTRootNode@6fe1b4fb, name=dataGen_tsk_0_3_C, getId()=dataGen_tsk_0_3_C]
DataGenerator [math=org.jmathml.ASTRootNode@79351f41, name=dataGen_tsk_0_3_PrmA_bound, getId()=dataGen_tsk_0_3_PrmA_bound]
DataGenerator [math=org.jmathml.ASTRootNode@1c32386d, name=dataGen_tsk_0_3_PrmR_bound, getId()=dataGen_tsk_0_3_PrmR_bound]
DataGenerator [math=org.jmathml.ASTRootNode@6399551e, name=dataGen_tsk_0_3_mRNA_A_, getId()=dataGen_tsk_0_3_mRNA_A_]
DataGenerator [math=org.jmathml.ASTRootNode@13d73fa, name=time_tsk_1_0, getId()=time_tsk_1_0]
DataGenerator [math=org.jmathml.ASTRootNode@5023bb8b, name=dataGen_tsk_1_0_mRNA_R, getId()=dataGen_tsk_1_0_mRNA_R]
DataGenerator [math=org.jmathml.ASTRootNode@5d5f10b2, name=dataGen_tsk_1_0_A, getId()=dataGen_tsk_1_0_A]
DataGenerator [math=org.jmathml.ASTRootNode@74c79fa2, name=dataGen_tsk_1_0_R, getId()=dataGen_tsk_1_0_R]
DataGenerator [math=org.jmathml.ASTRootNode@1e0f9063, name=dataGen_tsk_1_0_PrmA, getId()=dataGen_tsk_1_0_PrmA]
DataGenerator [math=org.jmathml.ASTRootNode@53bd8fca, name=dataGen_tsk_1_0_PrmR, getId()=dataGen_tsk_1_0_PrmR]
DataGenerator [math=org.jmathml.ASTRootNode@7642df8f, name=dataGen_tsk_1_0_C, getId()=dataGen_tsk_1_0_C]
DataGenerator [math=org.jmathml.ASTRootNode@3e30646a, name=dataGen_tsk_1_0_PrmA_bound, getId()=dataGen_tsk_1_0_PrmA_bound]
DataGenerator [math=org.jmathml.ASTRootNode@5cde6747, name=dataGen_tsk_1_0_PrmR_bound, getId()=dataGen_tsk_1_0_PrmR_bound]
DataGenerator [math=org.jmathml.ASTRootNode@63a270c9, name=dataGen_tsk_1_0_mRNA_A_, getId()=dataGen_tsk_1_0_mRNA_A_]
DataGenerator [math=org.jmathml.ASTRootNode@37c7595, name=time_tsk_1_1, getId()=time_tsk_1_1]
DataGenerator [math=org.jmathml.ASTRootNode@3ed242a4, name=dataGen_tsk_1_1_mRNA_R, getId()=dataGen_tsk_1_1_mRNA_R]
DataGenerator [math=org.jmathml.ASTRootNode@1199fe66, name=dataGen_tsk_1_1_A, getId()=dataGen_tsk_1_1_A]
DataGenerator [math=org.jmathml.ASTRootNode@614df0a4, name=dataGen_tsk_1_1_R, getId()=dataGen_tsk_1_1_R]
DataGenerator [math=org.jmathml.ASTRootNode@1fdf1c5, name=dataGen_tsk_1_1_PrmA, getId()=dataGen_tsk_1_1_PrmA]
DataGenerator [math=org.jmathml.ASTRootNode@2d96543c, name=dataGen_tsk_1_1_PrmR, getId()=dataGen_tsk_1_1_PrmR]
DataGenerator [math=org.jmathml.ASTRootNode@73a2e526, name=dataGen_tsk_1_1_C, getId()=dataGen_tsk_1_1_C]
DataGenerator [math=org.jmathml.ASTRootNode@7d64e326, name=dataGen_tsk_1_1_PrmA_bound, getId()=dataGen_tsk_1_1_PrmA_bound]
DataGenerator [math=org.jmathml.ASTRootNode@13f95696, name=dataGen_tsk_1_1_PrmR_bound, getId()=dataGen_tsk_1_1_PrmR_bound]
DataGenerator [math=org.jmathml.ASTRootNode@cd1d761, name=dataGen_tsk_1_1_mRNA_A_, getId()=dataGen_tsk_1_1_mRNA_A_]
Plot2D [listOfCurves=[Curve [id=plot2d_Fig_1a_curve_0, logX=false, logY=false, name=curve_0, xDataReference=time_tsk_0_0, yDataReference=dataGen_tsk_0_0_mRNA_R], Curve [id=plot2d_Fig_1a_curve_1, logX=false, logY=false, name=curve_1, xDataReference=time_tsk_0_0, yDataReference=dataGen_tsk_0_0_A], Curve [id=plot2d_Fig_1a_curve_2, logX=false, logY=false, name=curve_2, xDataReference=time_tsk_0_0, yDataReference=dataGen_tsk_0_0_R], Curve [id=plot2d_Fig_1a_curve_3, logX=false, logY=false, name=curve_3, xDataReference=time_tsk_0_0, yDataReference=dataGen_tsk_0_0_PrmA], Curve [id=plot2d_Fig_1a_curve_4, logX=false, logY=false, name=curve_4, xDataReference=time_tsk_0_0, yDataReference=dataGen_tsk_0_0_PrmR], Curve [id=plot2d_Fig_1a_curve_5, logX=false, logY=false, name=curve_5, xDataReference=time_tsk_0_0, yDataReference=dataGen_tsk_0_0_C], Curve [id=plot2d_Fig_1a_curve_6, logX=false, logY=false, name=curve_6, xDataReference=time_tsk_0_0, yDataReference=dataGen_tsk_0_0_PrmA_bound], Curve [id=plot2d_Fig_1a_curve_7, logX=false, logY=false, name=curve_7, xDataReference=time_tsk_0_0, yDataReference=dataGen_tsk_0_0_PrmR_bound], Curve [id=plot2d_Fig_1a_curve_8, logX=false, logY=false, name=curve_8, xDataReference=time_tsk_0_0, yDataReference=dataGen_tsk_0_0_mRNA_A_]], name=ODE deterministicplots]
Plot2D [listOfCurves=[Curve [id=plot2d_low_delta_R_detcurve_0, logX=false, logY=false, name=curve_0, xDataReference=time_tsk_0_1, yDataReference=dataGen_tsk_0_1_mRNA_R], Curve [id=plot2d_low_delta_R_detcurve_1, logX=false, logY=false, name=curve_1, xDataReference=time_tsk_0_1, yDataReference=dataGen_tsk_0_1_A], Curve [id=plot2d_low_delta_R_detcurve_2, logX=false, logY=false, name=curve_2, xDataReference=time_tsk_0_1, yDataReference=dataGen_tsk_0_1_R], Curve [id=plot2d_low_delta_R_detcurve_3, logX=false, logY=false, name=curve_3, xDataReference=time_tsk_0_1, yDataReference=dataGen_tsk_0_1_PrmA], Curve [id=plot2d_low_delta_R_detcurve_4, logX=false, logY=false, name=curve_4, xDataReference=time_tsk_0_1, yDataReference=dataGen_tsk_0_1_PrmR], Curve [id=plot2d_low_delta_R_detcurve_5, logX=false, logY=false, name=curve_5, xDataReference=time_tsk_0_1, yDataReference=dataGen_tsk_0_1_C], Curve [id=plot2d_low_delta_R_detcurve_6, logX=false, logY=false, name=curve_6, xDataReference=time_tsk_0_1, yDataReference=dataGen_tsk_0_1_PrmA_bound], Curve [id=plot2d_low_delta_R_detcurve_7, logX=false, logY=false, name=curve_7, xDataReference=time_tsk_0_1, yDataReference=dataGen_tsk_0_1_PrmR_bound], Curve [id=plot2d_low_delta_R_detcurve_8, logX=false, logY=false, name=curve_8, xDataReference=time_tsk_0_1, yDataReference=dataGen_tsk_0_1_mRNA_A_]], name=ODE deterministicplots]
Plot2D [listOfCurves=[Curve [id=plot2d_Euler_default_curve_0, logX=false, logY=false, name=curve_0, xDataReference=time_tsk_0_2, yDataReference=dataGen_tsk_0_2_mRNA_R], Curve [id=plot2d_Euler_default_curve_1, logX=false, logY=false, name=curve_1, xDataReference=time_tsk_0_2, yDataReference=dataGen_tsk_0_2_A], Curve [id=plot2d_Euler_default_curve_2, logX=false, logY=false, name=curve_2, xDataReference=time_tsk_0_2, yDataReference=dataGen_tsk_0_2_R], Curve [id=plot2d_Euler_default_curve_3, logX=false, logY=false, name=curve_3, xDataReference=time_tsk_0_2, yDataReference=dataGen_tsk_0_2_PrmA], Curve [id=plot2d_Euler_default_curve_4, logX=false, logY=false, name=curve_4, xDataReference=time_tsk_0_2, yDataReference=dataGen_tsk_0_2_PrmR], Curve [id=plot2d_Euler_default_curve_5, logX=false, logY=false, name=curve_5, xDataReference=time_tsk_0_2, yDataReference=dataGen_tsk_0_2_C], Curve [id=plot2d_Euler_default_curve_6, logX=false, logY=false, name=curve_6, xDataReference=time_tsk_0_2, yDataReference=dataGen_tsk_0_2_PrmA_bound], Curve [id=plot2d_Euler_default_curve_7, logX=false, logY=false, name=curve_7, xDataReference=time_tsk_0_2, yDataReference=dataGen_tsk_0_2_PrmR_bound], Curve [id=plot2d_Euler_default_curve_8, logX=false, logY=false, name=curve_8, xDataReference=time_tsk_0_2, yDataReference=dataGen_tsk_0_2_mRNA_A_]], name=ODE deterministicplots]
Plot2D [listOfCurves=[Curve [id=plot2d_Euler_small_step_size_curve_0, logX=false, logY=false, name=curve_0, xDataReference=time_tsk_0_3, yDataReference=dataGen_tsk_0_3_mRNA_R], Curve [id=plot2d_Euler_small_step_size_curve_1, logX=false, logY=false, name=curve_1, xDataReference=time_tsk_0_3, yDataReference=dataGen_tsk_0_3_A], Curve [id=plot2d_Euler_small_step_size_curve_2, logX=false, logY=false, name=curve_2, xDataReference=time_tsk_0_3, yDataReference=dataGen_tsk_0_3_R], Curve [id=plot2d_Euler_small_step_size_curve_3, logX=false, logY=false, name=curve_3, xDataReference=time_tsk_0_3, yDataReference=dataGen_tsk_0_3_PrmA], Curve [id=plot2d_Euler_small_step_size_curve_4, logX=false, logY=false, name=curve_4, xDataReference=time_tsk_0_3, yDataReference=dataGen_tsk_0_3_PrmR], Curve [id=plot2d_Euler_small_step_size_curve_5, logX=false, logY=false, name=curve_5, xDataReference=time_tsk_0_3, yDataReference=dataGen_tsk_0_3_C], Curve [id=plot2d_Euler_small_step_size_curve_6, logX=false, logY=false, name=curve_6, xDataReference=time_tsk_0_3, yDataReference=dataGen_tsk_0_3_PrmA_bound], Curve [id=plot2d_Euler_small_step_size_curve_7, logX=false, logY=false, name=curve_7, xDataReference=time_tsk_0_3, yDataReference=dataGen_tsk_0_3_PrmR_bound], Curve [id=plot2d_Euler_small_step_size_curve_8, logX=false, logY=false, name=curve_8, xDataReference=time_tsk_0_3, yDataReference=dataGen_tsk_0_3_mRNA_A_]], name=ODE deterministicplots]
Plot2D [listOfCurves=[Curve [id=plot2d_Fig_1_ccurve_0, logX=false, logY=false, name=curve_0, xDataReference=time_tsk_1_0, yDataReference=dataGen_tsk_1_0_mRNA_R], Curve [id=plot2d_Fig_1_ccurve_1, logX=false, logY=false, name=curve_1, xDataReference=time_tsk_1_0, yDataReference=dataGen_tsk_1_0_A], Curve [id=plot2d_Fig_1_ccurve_2, logX=false, logY=false, name=curve_2, xDataReference=time_tsk_1_0, yDataReference=dataGen_tsk_1_0_R], Curve [id=plot2d_Fig_1_ccurve_3, logX=false, logY=false, name=curve_3, xDataReference=time_tsk_1_0, yDataReference=dataGen_tsk_1_0_PrmA], Curve [id=plot2d_Fig_1_ccurve_4, logX=false, logY=false, name=curve_4, xDataReference=time_tsk_1_0, yDataReference=dataGen_tsk_1_0_PrmR], Curve [id=plot2d_Fig_1_ccurve_5, logX=false, logY=false, name=curve_5, xDataReference=time_tsk_1_0, yDataReference=dataGen_tsk_1_0_C], Curve [id=plot2d_Fig_1_ccurve_6, logX=false, logY=false, name=curve_6, xDataReference=time_tsk_1_0, yDataReference=dataGen_tsk_1_0_PrmA_bound], Curve [id=plot2d_Fig_1_ccurve_7, logX=false, logY=false, name=curve_7, xDataReference=time_tsk_1_0, yDataReference=dataGen_tsk_1_0_PrmR_bound], Curve [id=plot2d_Fig_1_ccurve_8, logX=false, logY=false, name=curve_8, xDataReference=time_tsk_1_0, yDataReference=dataGen_tsk_1_0_mRNA_A_]], name=ODE stochasticplots]
Plot2D [listOfCurves=[Curve [id=plot2d_low_delta_R_stochcurve_0, logX=false, logY=false, name=curve_0, xDataReference=time_tsk_1_1, yDataReference=dataGen_tsk_1_1_mRNA_R], Curve [id=plot2d_low_delta_R_stochcurve_1, logX=false, logY=false, name=curve_1, xDataReference=time_tsk_1_1, yDataReference=dataGen_tsk_1_1_A], Curve [id=plot2d_low_delta_R_stochcurve_2, logX=false, logY=false, name=curve_2, xDataReference=time_tsk_1_1, yDataReference=dataGen_tsk_1_1_R], Curve [id=plot2d_low_delta_R_stochcurve_3, logX=false, logY=false, name=curve_3, xDataReference=time_tsk_1_1, yDataReference=dataGen_tsk_1_1_PrmA], Curve [id=plot2d_low_delta_R_stochcurve_4, logX=false, logY=false, name=curve_4, xDataReference=time_tsk_1_1, yDataReference=dataGen_tsk_1_1_PrmR], Curve [id=plot2d_low_delta_R_stochcurve_5, logX=false, logY=false, name=curve_5, xDataReference=time_tsk_1_1, yDataReference=dataGen_tsk_1_1_C], Curve [id=plot2d_low_delta_R_stochcurve_6, logX=false, logY=false, name=curve_6, xDataReference=time_tsk_1_1, yDataReference=dataGen_tsk_1_1_PrmA_bound], Curve [id=plot2d_low_delta_R_stochcurve_7, logX=false, logY=false, name=curve_7, xDataReference=time_tsk_1_1, yDataReference=dataGen_tsk_1_1_PrmR_bound], Curve [id=plot2d_low_delta_R_stochcurve_8, logX=false, logY= ...
log.SimulatorReportsTheStatusOfTheExecutionOfCombineArchives
(12.2 s)Test that simulator logs the execution of COMBINE/OMEX archives
Reason for skip:
The simulator did not export information about the status of its execution. Simulators are encouraged to stream information about their execution status.
More information: https://biosimulators.org/conventions/status
Log:
VCell CLI input archive /tmp/in/archive.omex
Sep 20, 2021 4:12:42 PM java.util.prefs.FileSystemPreferences$1 run
INFO: Created user preferences directory.
-----------------------------------------------------------------------------------------------------
TempPath Created: /tmp/vcell_temp_d77ded43-06ab-4109-b8fd-76451110f3f81754244467714079033
Python 3.8.10
utilPath: /usr/local/app/vcell/installDir/python/vcell_cli_utils
cliUtilPath: /usr/local/app/vcell/installDir/python/vcell_cli_utils/vcell_cli_utils
cliPath: /usr/local/app/vcell/installDir/python/vcell_cli_utils/vcell_cli_utils/cli.py
statusPath: /usr/local/app/vcell/installDir/python/vcell_cli_utils/vcell_cli_utils/status.py
SED-ML version level not supported, import may fail
SED-ML version level not supported, import may fail
Unsupported version, import may fail
Found 1 SED-ML document(s) with 1 model(s), 1 simulation(s), 1 task(s), 1 report(s), 0 plot2D(s), and 0 plot3D(s)
Successful translation: SED-ML file BIOMD0000000912_sim.sedml
-----------------------------------------------------------------------------------------------------
name: BIOMD0000000912_sim
SED-ML version level not supported, import may fail
SED-ML version level not supported, import may fail
Unsupported version, import may fail
Model [id=BIOMD0000000912, name=Caravagna2010 - Tumour suppression by immune system, language=urn:sedml:language:sbml, src=Caravagna2010.xml]
UniformTimeCourse [initialTime=0.0, numberOfPoints=10, outputEndTime=2.0, outputStartTime=0.0, Algorithm [kisaoID=KISAO:0000019], getId()=BIOMD0000000912_sim]
Task [modelReference=BIOMD0000000912, name=Caravagna2010, simulationReference=BIOMD0000000912_sim, getId()=BIOMD0000000912_task]
DataGenerator [math=org.jmathml.ASTRootNode@51fadaff, name=time, getId()=data_gen_time]
DataGenerator [math=org.jmathml.ASTRootNode@401f7633, name=T, getId()=data_gen_T]
DataGenerator [math=org.jmathml.ASTRootNode@31ff43be, name=E, getId()=data_gen_E]
DataGenerator [math=org.jmathml.ASTRootNode@5b6ec132, name=I, getId()=data_gen_I]
org.jlibsedml.Report@c84c5553
SED-ML version level not supported, import may fail
SED-ML version level not supported, import may fail
Unsupported version, import may fail
Task (id='BIOMD0000000912_task') is compatible, solver match found in ontology: 'KISAO:0000019' matched to CVODE
SBML Import: no assignment rules.
SBML Import: no assignment rules.
LOGGER: msgLevel=MediumPriority, msgType=OverallWarning, Issues encountered during SBML Import:
- WARNING: The imported model has one or more reactions that have ids/names that are longer than 64 characters.
User is STRONGLY recommeded to shorten the names to avoid problems with the length of expressions these names might be used in.
Succesful model import: SBML file /tmp/temp2331522136747598646.xml
/tmp/out/BIOMD0000000912_sim.sedml
false
cbit.vcell.solver.ode.CVodeSolverStandalone@718607eb
Finished: SOLVER_FINISHED:completed
Succesful execution: Model 'archive__BIOMD0000000912' Task 'Caravagna2010'.
-----------------------------------------------------------------------------------------------------
Generating report `report`.
report : /tmp/out/./BIOMD0000000912_sim.sedml/report.csv
HDF conversion successful
No PDF files found, skipping archiving `plots.zip` files
Archiving resultant CSV files to `reports.zip`.
log.SimulatorReportsTheStatusOfTheExecutionOfSedDocuments
(12.2 s)Test that simulator logs the execution of individual SED document in COMBINE/OMEX archives
Reason for skip:
The simulator did not export information about the status of its execution. Simulators are encouraged to stream information about their execution status.
More information: https://biosimulators.org/conventions/status
Log:
VCell CLI input archive /tmp/in/archive.omex
Sep 20, 2021 4:12:54 PM java.util.prefs.FileSystemPreferences$1 run
INFO: Created user preferences directory.
-----------------------------------------------------------------------------------------------------
TempPath Created: /tmp/vcell_temp_add4c6d8-6c2a-43b6-b775-d62430a4d38d7262186325284257352
Python 3.8.10
utilPath: /usr/local/app/vcell/installDir/python/vcell_cli_utils
cliUtilPath: /usr/local/app/vcell/installDir/python/vcell_cli_utils/vcell_cli_utils
cliPath: /usr/local/app/vcell/installDir/python/vcell_cli_utils/vcell_cli_utils/cli.py
statusPath: /usr/local/app/vcell/installDir/python/vcell_cli_utils/vcell_cli_utils/status.py
SED-ML version level not supported, import may fail
SED-ML version level not supported, import may fail
Unsupported version, import may fail
Found 1 SED-ML document(s) with 1 model(s), 1 simulation(s), 1 task(s), 1 report(s), 0 plot2D(s), and 0 plot3D(s)
Successful translation: SED-ML file BIOMD0000000912_sim.sedml
-----------------------------------------------------------------------------------------------------
name: BIOMD0000000912_sim
SED-ML version level not supported, import may fail
SED-ML version level not supported, import may fail
Unsupported version, import may fail
Model [id=BIOMD0000000912, name=Caravagna2010 - Tumour suppression by immune system, language=urn:sedml:language:sbml, src=Caravagna2010.xml]
UniformTimeCourse [initialTime=0.0, numberOfPoints=10, outputEndTime=2.0, outputStartTime=0.0, Algorithm [kisaoID=KISAO:0000019], getId()=BIOMD0000000912_sim]
Task [modelReference=BIOMD0000000912, name=Caravagna2010, simulationReference=BIOMD0000000912_sim, getId()=BIOMD0000000912_task]
DataGenerator [math=org.jmathml.ASTRootNode@51fadaff, name=time, getId()=data_gen_time]
DataGenerator [math=org.jmathml.ASTRootNode@401f7633, name=T, getId()=data_gen_T]
DataGenerator [math=org.jmathml.ASTRootNode@31ff43be, name=E, getId()=data_gen_E]
DataGenerator [math=org.jmathml.ASTRootNode@5b6ec132, name=I, getId()=data_gen_I]
org.jlibsedml.Report@c84c5553
SED-ML version level not supported, import may fail
SED-ML version level not supported, import may fail
Unsupported version, import may fail
Task (id='BIOMD0000000912_task') is compatible, solver match found in ontology: 'KISAO:0000019' matched to CVODE
SBML Import: no assignment rules.
SBML Import: no assignment rules.
LOGGER: msgLevel=MediumPriority, msgType=OverallWarning, Issues encountered during SBML Import:
- WARNING: The imported model has one or more reactions that have ids/names that are longer than 64 characters.
User is STRONGLY recommeded to shorten the names to avoid problems with the length of expressions these names might be used in.
Succesful model import: SBML file /tmp/temp2544981541342653354.xml
/tmp/out/BIOMD0000000912_sim.sedml
false
cbit.vcell.solver.ode.CVodeSolverStandalone@718607eb
Finished: SOLVER_FINISHED:completed
Succesful execution: Model 'archive__BIOMD0000000912' Task 'Caravagna2010'.
-----------------------------------------------------------------------------------------------------
Generating report `report`.
report : /tmp/out/./BIOMD0000000912_sim.sedml/report.csv
HDF conversion successful
No PDF files found, skipping archiving `plots.zip` files
Archiving resultant CSV files to `reports.zip`.
log.SimulatorReportsTheStatusOfTheExecutionOfSedOutputs
(12.2 s)Test that simulator logs the execution of individual SED outputs in COMBINE/OMEX archives
Reason for skip:
The simulator did not export information about the status of its execution. Simulators are encouraged to stream information about their execution status.
More information: https://biosimulators.org/conventions/status
Log:
VCell CLI input archive /tmp/in/archive.omex
Sep 20, 2021 4:13:07 PM java.util.prefs.FileSystemPreferences$1 run
INFO: Created user preferences directory.
-----------------------------------------------------------------------------------------------------
TempPath Created: /tmp/vcell_temp_e81497d4-306d-4518-a85c-2d6264823e187436129855378684255
Python 3.8.10
utilPath: /usr/local/app/vcell/installDir/python/vcell_cli_utils
cliUtilPath: /usr/local/app/vcell/installDir/python/vcell_cli_utils/vcell_cli_utils
cliPath: /usr/local/app/vcell/installDir/python/vcell_cli_utils/vcell_cli_utils/cli.py
statusPath: /usr/local/app/vcell/installDir/python/vcell_cli_utils/vcell_cli_utils/status.py
SED-ML version level not supported, import may fail
SED-ML version level not supported, import may fail
Unsupported version, import may fail
Found 1 SED-ML document(s) with 1 model(s), 1 simulation(s), 1 task(s), 1 report(s), 0 plot2D(s), and 0 plot3D(s)
Successful translation: SED-ML file BIOMD0000000912_sim.sedml
-----------------------------------------------------------------------------------------------------
name: BIOMD0000000912_sim
SED-ML version level not supported, import may fail
SED-ML version level not supported, import may fail
Unsupported version, import may fail
Model [id=BIOMD0000000912, name=Caravagna2010 - Tumour suppression by immune system, language=urn:sedml:language:sbml, src=Caravagna2010.xml]
UniformTimeCourse [initialTime=0.0, numberOfPoints=10, outputEndTime=2.0, outputStartTime=0.0, Algorithm [kisaoID=KISAO:0000019], getId()=BIOMD0000000912_sim]
Task [modelReference=BIOMD0000000912, name=Caravagna2010, simulationReference=BIOMD0000000912_sim, getId()=BIOMD0000000912_task]
DataGenerator [math=org.jmathml.ASTRootNode@51fadaff, name=time, getId()=data_gen_time]
DataGenerator [math=org.jmathml.ASTRootNode@401f7633, name=T, getId()=data_gen_T]
DataGenerator [math=org.jmathml.ASTRootNode@31ff43be, name=E, getId()=data_gen_E]
DataGenerator [math=org.jmathml.ASTRootNode@5b6ec132, name=I, getId()=data_gen_I]
org.jlibsedml.Report@c84c5553
SED-ML version level not supported, import may fail
SED-ML version level not supported, import may fail
Unsupported version, import may fail
Task (id='BIOMD0000000912_task') is compatible, solver match found in ontology: 'KISAO:0000019' matched to CVODE
SBML Import: no assignment rules.
SBML Import: no assignment rules.
LOGGER: msgLevel=MediumPriority, msgType=OverallWarning, Issues encountered during SBML Import:
- WARNING: The imported model has one or more reactions that have ids/names that are longer than 64 characters.
User is STRONGLY recommeded to shorten the names to avoid problems with the length of expressions these names might be used in.
Succesful model import: SBML file /tmp/temp8342435051738639439.xml
/tmp/out/BIOMD0000000912_sim.sedml
false
cbit.vcell.solver.ode.CVodeSolverStandalone@718607eb
Finished: SOLVER_FINISHED:completed
Succesful execution: Model 'archive__BIOMD0000000912' Task 'Caravagna2010'.
-----------------------------------------------------------------------------------------------------
Generating report `report`.
report : /tmp/out/./BIOMD0000000912_sim.sedml/report.csv
HDF conversion successful
No PDF files found, skipping archiving `plots.zip` files
Archiving resultant CSV files to `reports.zip`.
log.SimulatorReportsTheStatusOfTheExecutionOfSedTasks
(12.2 s)Test that simulator logs the execution of individual SED tasks in COMBINE/OMEX archives
Reason for skip:
The simulator did not export information about the status of its execution. Simulators are encouraged to stream information about their execution status.
More information: https://biosimulators.org/conventions/status
Log:
VCell CLI input archive /tmp/in/archive.omex
Sep 20, 2021 4:13:19 PM java.util.prefs.FileSystemPreferences$1 run
INFO: Created user preferences directory.
-----------------------------------------------------------------------------------------------------
TempPath Created: /tmp/vcell_temp_375fd60f-4725-4ad3-af1d-e6c1f739f86b1884206239226050025
Python 3.8.10
utilPath: /usr/local/app/vcell/installDir/python/vcell_cli_utils
cliUtilPath: /usr/local/app/vcell/installDir/python/vcell_cli_utils/vcell_cli_utils
cliPath: /usr/local/app/vcell/installDir/python/vcell_cli_utils/vcell_cli_utils/cli.py
statusPath: /usr/local/app/vcell/installDir/python/vcell_cli_utils/vcell_cli_utils/status.py
SED-ML version level not supported, import may fail
SED-ML version level not supported, import may fail
Unsupported version, import may fail
Found 1 SED-ML document(s) with 1 model(s), 1 simulation(s), 1 task(s), 1 report(s), 0 plot2D(s), and 0 plot3D(s)
Successful translation: SED-ML file BIOMD0000000912_sim.sedml
-----------------------------------------------------------------------------------------------------
name: BIOMD0000000912_sim
SED-ML version level not supported, import may fail
SED-ML version level not supported, import may fail
Unsupported version, import may fail
Model [id=BIOMD0000000912, name=Caravagna2010 - Tumour suppression by immune system, language=urn:sedml:language:sbml, src=Caravagna2010.xml]
UniformTimeCourse [initialTime=0.0, numberOfPoints=10, outputEndTime=2.0, outputStartTime=0.0, Algorithm [kisaoID=KISAO:0000019], getId()=BIOMD0000000912_sim]
Task [modelReference=BIOMD0000000912, name=Caravagna2010, simulationReference=BIOMD0000000912_sim, getId()=BIOMD0000000912_task]
DataGenerator [math=org.jmathml.ASTRootNode@51fadaff, name=time, getId()=data_gen_time]
DataGenerator [math=org.jmathml.ASTRootNode@401f7633, name=T, getId()=data_gen_T]
DataGenerator [math=org.jmathml.ASTRootNode@31ff43be, name=E, getId()=data_gen_E]
DataGenerator [math=org.jmathml.ASTRootNode@5b6ec132, name=I, getId()=data_gen_I]
org.jlibsedml.Report@c84c5553
SED-ML version level not supported, import may fail
SED-ML version level not supported, import may fail
Unsupported version, import may fail
Task (id='BIOMD0000000912_task') is compatible, solver match found in ontology: 'KISAO:0000019' matched to CVODE
SBML Import: no assignment rules.
SBML Import: no assignment rules.
LOGGER: msgLevel=MediumPriority, msgType=OverallWarning, Issues encountered during SBML Import:
- WARNING: The imported model has one or more reactions that have ids/names that are longer than 64 characters.
User is STRONGLY recommeded to shorten the names to avoid problems with the length of expressions these names might be used in.
Succesful model import: SBML file /tmp/temp7746440286395952052.xml
/tmp/out/BIOMD0000000912_sim.sedml
false
cbit.vcell.solver.ode.CVodeSolverStandalone@718607eb
Finished: SOLVER_FINISHED:completed
Succesful execution: Model 'archive__BIOMD0000000912' Task 'Caravagna2010'.
-----------------------------------------------------------------------------------------------------
Generating report `report`.
report : /tmp/out/./BIOMD0000000912_sim.sedml/report.csv
HDF conversion successful
No PDF files found, skipping archiving `plots.zip` files
Archiving resultant CSV files to `reports.zip`.
published_project.SimulatorCanExecutePublishedProject:bngl/Dolan-PLoS-Comput-Biol-2015-NHEJ
(0.0 s)Required model formats and simulation algorithms for SED tasks:
Format: format_3972
Algorithm: KISAO_0000263
Reason for skip:
Case requires model formats format_3972 and simulation algorithms KISAO_0000263
Log:
published_project.SimulatorCanExecutePublishedProject:bngl/test-bngl
(0.0 s)Required model formats and simulation algorithms for SED tasks:
Format: format_3972
Algorithm: KISAO_0000019
Reason for skip:
Case requires model formats format_3972 and simulation algorithms KISAO_0000019
Log:
published_project.SimulatorCanExecutePublishedProject:cellml/Elowitz-Nature-2000-Repressilator
(0.0 s)Required model formats and simulation algorithms for SED tasks:
Format: format_3240
Algorithm: KISAO_0000019
Reason for skip:
Case requires model formats format_3240 and simulation algorithms KISAO_0000019
Log:
published_project.SimulatorCanExecutePublishedProject:cellml/Lorenz-system
(0.0 s)Required model formats and simulation algorithms for SED tasks:
Format: format_3240
Algorithm: KISAO_0000019
Reason for skip:
Case requires model formats format_3240 and simulation algorithms KISAO_0000019
Log:
published_project.SimulatorCanExecutePublishedProject:mass/Bordbar-Cell-Syst-2015-RBC-metabolism
(0.0 s)Required model formats and simulation algorithms for SED tasks:
Format: format_2585
Algorithm: KISAO_0000019
Reason for skip:
Case requires model formats format_2585 and simulation algorithms KISAO_0000019
Log:
published_project.SimulatorCanExecutePublishedProject:neuroml-lems/Hodgkin-Huxley-cell-CVODE
(0.0 s)Required model formats and simulation algorithms for SED tasks:
Format: format_9004
Algorithm: KISAO_0000019
Reason for skip:
Case requires model formats format_9004 and simulation algorithms KISAO_0000019
Log:
published_project.SimulatorCanExecutePublishedProject:neuroml-lems/Hodgkin-Huxley-cell-Euler
(0.0 s)Required model formats and simulation algorithms for SED tasks:
Format: format_9004
Algorithm: KISAO_0000030
Reason for skip:
Case requires model formats format_9004 and simulation algorithms KISAO_0000030
Log:
published_project.SimulatorCanExecutePublishedProject:rba/Escherichia-coli-K12-WT
(0.0 s)Required model formats and simulation algorithms for SED tasks:
Format: format_9012
Algorithm: KISAO_0000669
Reason for skip:
Case requires model formats format_9012 and simulation algorithms KISAO_0000669
Log:
published_project.SimulatorCanExecutePublishedProject:sbml-core/Edelstein-Biol-Cybern-1996-Nicotinic-excitation
(0.0 s)Required model formats and simulation algorithms for SED tasks:
Format: format_2585
Algorithm: KISAO_0000088
Reason for skip:
Case requires model formats format_2585 and simulation algorithms KISAO_0000088
Log:
published_project.SimulatorCanExecutePublishedProject:sbml-core/Parmar-BMC-Syst-Biol-2017-iron-distribution
(0.0 s)Required model formats and simulation algorithms for SED tasks:
Format: format_2585
Algorithm: KISAO_000019
Reason for skip:
Case requires model formats format_2585 and simulation algorithms KISAO_000019
Log:
published_project.SimulatorCanExecutePublishedProject:sbml-core/Szymanska-J-Theor-Biol-2009-HSP-synthesis
(0.0 s)Required model formats and simulation algorithms for SED tasks:
Format: format_2585
Algorithm: KISAO_0000496
Reason for skip:
Case requires model formats format_2585 and simulation algorithms KISAO_0000496
Log:
published_project.SimulatorCanExecutePublishedProject:sbml-core/Tomida-EMBO-J-2003-NFAT-translocation
(0.0 s)Required model formats and simulation algorithms for SED tasks:
Format: format_2585
Algorithm: KISAO_0000560
Reason for skip:
Case requires model formats format_2585 and simulation algorithms KISAO_0000560
Log:
published_project.SimulatorCanExecutePublishedProject:sbml-core/Varusai-Sci-Rep-2018-mTOR-signaling-LSODA-LSODAR-SBML
(0.0 s)Required model formats and simulation algorithms for SED tasks:
Format: format_2585
Algorithm: KISAO_0000560
Reason for skip:
Case requires model formats format_2585 and simulation algorithms KISAO_0000560
Log:
published_project.SimulatorCanExecutePublishedProject:sbml-core/Vilar-PNAS-2002-minimal-circardian-clock-discrete-SSA
(0.0 s)Required model formats and simulation algorithms for SED tasks:
Format: format_2585
Algorithm: KISAO_0000029
Reason for skip:
Case requires model formats format_2585 and simulation algorithms KISAO_0000029
Log:
published_project.SimulatorCanExecutePublishedProject:sbml-fbc/Escherichia-coli-core-metabolism
(0.0 s)Required model formats and simulation algorithms for SED tasks:
Format: format_2585
Algorithm: KISAO_0000437
Reason for skip:
Case requires model formats format_2585 and simulation algorithms KISAO_0000437
Log:
published_project.SimulatorCanExecutePublishedProject:sbml-qual/Chaouiya-BMC-Syst-Biol-2013-EGF-TNFa-signaling
(0.0 s)Required model formats and simulation algorithms for SED tasks:
Format: format_2585
Algorithm: KISAO_0000449
Reason for skip:
Case requires model formats format_2585 and simulation algorithms KISAO_0000449
Log:
published_project.SimulatorCanExecutePublishedProject:sbml-qual/Irons-J-Theor-Biol-2009-yeast-cell-cycle
(0.0 s)Required model formats and simulation algorithms for SED tasks:
Format: format_2585
Algorithm: KISAO_0000449
Reason for skip:
Case requires model formats format_2585 and simulation algorithms KISAO_0000449
Log:
published_project.SimulatorCanExecutePublishedProject:smoldyn/Lotka-Volterra
(0.0 s)Required model formats and simulation algorithms for SED tasks:
Format: format_9001
Algorithm: KISAO_0000057
Reason for skip:
Case requires model formats format_9001 and simulation algorithms KISAO_0000057
Log:
published_project.SimulatorCanExecutePublishedProject:xpp/Wu-Biochem-Pharmacol-2006-pituitary-GH3-cells
(0.0 s)Required model formats and simulation algorithms for SED tasks:
Format: format_9010
Algorithm: KISAO_0000019
Reason for skip:
Case requires model formats format_9010 and simulation algorithms KISAO_0000019
Log:
sedml.SimulatorCanResolveModelSourcesDefinedByUriFragments
(5.0 s)Test that a simulator can resolve model sources defined by URI fragments (e.g., #model1
).
Reason for skip:
The image 'ghcr.io/virtualcell/biosimulators_vcell:7.4.0.21' could not execute the archive:
Unknown error
Log:
VCell CLI input archive /tmp/in/archive.omex
Sep 20, 2021 4:08:22 PM java.util.prefs.FileSystemPreferences$1 run
INFO: Created user preferences directory.
-----------------------------------------------------------------------------------------------------
TempPath Created: /tmp/vcell_temp_f3f60ff3-56f6-4c50-ba5b-a5dbeeecd4a28953968607506342665
Python 3.8.10
utilPath: /usr/local/app/vcell/installDir/python/vcell_cli_utils
cliUtilPath: /usr/local/app/vcell/installDir/python/vcell_cli_utils/vcell_cli_utils
cliPath: /usr/local/app/vcell/installDir/python/vcell_cli_utils/vcell_cli_utils/cli.py
statusPath: /usr/local/app/vcell/installDir/python/vcell_cli_utils/vcell_cli_utils/status.py
SED-ML version level not supported, import may fail
SED-ML version level not supported, import may fail
Unsupported version, import may fail
Found 1 SED-ML document(s) with 2 model(s), 1 simulation(s), 1 task(s), 1 report(s), 0 plot2D(s), and 0 plot3D(s)
Successful translation: SED-ML file BIOMD0000000912_sim.sedml
-----------------------------------------------------------------------------------------------------
name: BIOMD0000000912_sim
SED-ML version level not supported, import may fail
SED-ML version level not supported, import may fail
Unsupported version, import may fail
Model [id=BIOMD0000000912, name=Caravagna2010 - Tumour suppression by immune system, language=urn:sedml:language:sbml, src=#__source__]
Model [id=__source__, name=null, language=urn:sedml:language:sbml, src=Caravagna2010.xml]
UniformTimeCourse [initialTime=0.0, numberOfPoints=10, outputEndTime=2.0, outputStartTime=0.0, Algorithm [kisaoID=KISAO:0000019], getId()=BIOMD0000000912_sim]
Task [modelReference=BIOMD0000000912, name=Caravagna2010, simulationReference=BIOMD0000000912_sim, getId()=BIOMD0000000912_task]
DataGenerator [math=org.jmathml.ASTRootNode@51fadaff, name=time, getId()=data_gen_time]
DataGenerator [math=org.jmathml.ASTRootNode@401f7633, name=T, getId()=data_gen_T]
DataGenerator [math=org.jmathml.ASTRootNode@31ff43be, name=E, getId()=data_gen_E]
DataGenerator [math=org.jmathml.ASTRootNode@5b6ec132, name=I, getId()=data_gen_I]
org.jlibsedml.Report@c84c5553
SED-ML version level not supported, import may fail
SED-ML version level not supported, import may fail
Unsupported version, import may fail
Task (id='BIOMD0000000912_task') is compatible, solver match found in ontology: 'KISAO:0000019' matched to CVODE
[Fatal Error] :1:1: Content is not allowed in prolog.
[Fatal Error] :1:1: Content is not allowed in prolog.
java.lang.RuntimeException: Error importing from SBML : no SBML source.
at cbit.vcell.xml.XmlHelper.importSBML(XmlHelper.java:449)
at cbit.vcell.xml.XmlHelper.sedmlToBioModel(XmlHelper.java:702)
at org.vcell.cli.SolverHandler.simulateAllTasks(SolverHandler.java:66)
at org.vcell.cli.CLIStandalone.singleExecOmex(CLIStandalone.java:185)
at org.vcell.cli.CLIStandalone.main(CLIStandalone.java:65)
Unable to Parse SED-ML into Bio-Model, failed with err: Unable to initialize bioModel for the given selection
Error importing from SBML : no SBML source.
Unable to initialize bioModel for the given selection
Error importing from SBML : no SBML source.
sedml.SimulatorCanResolveModelSourcesDefinedByUriFragmentsAndInheritChanges
(4.9 s)Test that a simulator can resolve model sources defined by URI fragments (e.g., #model1
) and inherit the changes of the model.
Reason for skip:
The image 'ghcr.io/virtualcell/biosimulators_vcell:7.4.0.21' could not execute the archive:
Unknown error
Log:
VCell CLI input archive /tmp/in/archive.omex
Sep 20, 2021 4:08:27 PM java.util.prefs.FileSystemPreferences$1 run
INFO: Created user preferences directory.
-----------------------------------------------------------------------------------------------------
TempPath Created: /tmp/vcell_temp_a494cc37-a49c-43e1-8685-d041a8c3f912697442246656494643
Python 3.8.10
utilPath: /usr/local/app/vcell/installDir/python/vcell_cli_utils
cliUtilPath: /usr/local/app/vcell/installDir/python/vcell_cli_utils/vcell_cli_utils
cliPath: /usr/local/app/vcell/installDir/python/vcell_cli_utils/vcell_cli_utils/cli.py
statusPath: /usr/local/app/vcell/installDir/python/vcell_cli_utils/vcell_cli_utils/status.py
SED-ML version level not supported, import may fail
SED-ML version level not supported, import may fail
Unsupported version, import may fail
Found 1 SED-ML document(s) with 2 model(s), 1 simulation(s), 1 task(s), 1 report(s), 0 plot2D(s), and 0 plot3D(s)
Successful translation: SED-ML file BIOMD0000000912_sim.sedml
-----------------------------------------------------------------------------------------------------
name: BIOMD0000000912_sim
SED-ML version level not supported, import may fail
SED-ML version level not supported, import may fail
Unsupported version, import may fail
Model [id=BIOMD0000000912, name=Caravagna2010 - Tumour suppression by immune system, language=urn:sedml:language:sbml, src=#__source__]
Model [id=__source__, name=null, language=urn:sedml:language:sbml, src=Caravagna2010.xml]
UniformTimeCourse [initialTime=0.0, numberOfPoints=10, outputEndTime=2.0, outputStartTime=0.0, Algorithm [kisaoID=KISAO:0000019], getId()=BIOMD0000000912_sim]
Task [modelReference=BIOMD0000000912, name=Caravagna2010, simulationReference=BIOMD0000000912_sim, getId()=BIOMD0000000912_task]
DataGenerator [math=org.jmathml.ASTRootNode@31ff43be, name=time, getId()=data_gen_time]
DataGenerator [math=org.jmathml.ASTRootNode@5b6ec132, name=T, getId()=data_gen_T]
DataGenerator [math=org.jmathml.ASTRootNode@5c44c582, name=E, getId()=data_gen_E]
DataGenerator [math=org.jmathml.ASTRootNode@67d18ed7, name=I, getId()=data_gen_I]
org.jlibsedml.Report@c84c5553
SED-ML version level not supported, import may fail
SED-ML version level not supported, import may fail
Unsupported version, import may fail
Task (id='BIOMD0000000912_task') is compatible, solver match found in ontology: 'KISAO:0000019' matched to CVODE
[Fatal Error] :1:1: Content is not allowed in prolog.
[Fatal Error] :1:1: Content is not allowed in prolog.
java.lang.RuntimeException: Error importing from SBML : no SBML source.
at cbit.vcell.xml.XmlHelper.importSBML(XmlHelper.java:449)
at cbit.vcell.xml.XmlHelper.sedmlToBioModel(XmlHelper.java:702)
at org.vcell.cli.SolverHandler.simulateAllTasks(SolverHandler.java:66)
at org.vcell.cli.CLIStandalone.singleExecOmex(CLIStandalone.java:185)
at org.vcell.cli.CLIStandalone.main(CLIStandalone.java:65)
Unable to Parse SED-ML into Bio-Model, failed with err: Unable to initialize bioModel for the given selection
Error importing from SBML : no SBML source.
Unable to initialize bioModel for the given selection
Error importing from SBML : no SBML source.
sedml.SimulatorProducesLinear3DPlots
(0.3 s)Test that a simulator produces linear 3D plots
Reason for skip:
No curated COMBINE/OMEX archives are available to generate archives for testing
Log:
sedml.SimulatorProducesLogarithmic3DPlots
(0.3 s)Test that a simulator produces logarithmic 3D plots
Reason for skip:
No curated COMBINE/OMEX archives are available to generate archives for testing
Log:
sedml.SimulatorProducesReportsWithCuratedNumberOfDimensions
(0.3 s)Test that that the curated number of output dimensions matches the actual number of output dimensions
Reason for skip:
No curated COMBINE/OMEX archives are available to generate archives for testing
Log:
sedml.SimulatorSupportsAddReplaceRemoveModelElementChanges
(12.0 s)Test that a simulator supports model changes that involve adding, replacing, and removing model elements.
Reason for skip:
The execution of the COMBINE/OMEX archive did not fail as expected
Log:
VCell CLI input archive /tmp/in/archive.omex
Sep 20, 2021 4:09:15 PM java.util.prefs.FileSystemPreferences$1 run
INFO: Created user preferences directory.
-----------------------------------------------------------------------------------------------------
TempPath Created: /tmp/vcell_temp_6a31c7f8-e941-40a0-8abc-2a6a442da1616320739508068105530
Python 3.8.10
utilPath: /usr/local/app/vcell/installDir/python/vcell_cli_utils
cliUtilPath: /usr/local/app/vcell/installDir/python/vcell_cli_utils/vcell_cli_utils
cliPath: /usr/local/app/vcell/installDir/python/vcell_cli_utils/vcell_cli_utils/cli.py
statusPath: /usr/local/app/vcell/installDir/python/vcell_cli_utils/vcell_cli_utils/status.py
SED-ML version level not supported, import may fail
SED-ML version level not supported, import may fail
Unsupported version, import may fail
Found 1 SED-ML document(s) with 1 model(s), 1 simulation(s), 1 task(s), 1 report(s), 0 plot2D(s), and 0 plot3D(s)
Successful translation: SED-ML file BIOMD0000000912_sim.sedml
-----------------------------------------------------------------------------------------------------
name: BIOMD0000000912_sim
SED-ML version level not supported, import may fail
SED-ML version level not supported, import may fail
Unsupported version, import may fail
Model [id=BIOMD0000000912, name=Caravagna2010 - Tumour suppression by immune system, language=urn:sedml:language:sbml, src=Caravagna2010.xml]
UniformTimeCourse [initialTime=0.0, numberOfPoints=10, outputEndTime=2.0, outputStartTime=0.0, Algorithm [kisaoID=KISAO:0000019], getId()=BIOMD0000000912_sim]
Task [modelReference=BIOMD0000000912, name=Caravagna2010, simulationReference=BIOMD0000000912_sim, getId()=BIOMD0000000912_task]
DataGenerator [math=org.jmathml.ASTRootNode@31ff43be, name=time, getId()=data_gen_time]
DataGenerator [math=org.jmathml.ASTRootNode@5b6ec132, name=T, getId()=data_gen_T]
DataGenerator [math=org.jmathml.ASTRootNode@5c44c582, name=E, getId()=data_gen_E]
DataGenerator [math=org.jmathml.ASTRootNode@67d18ed7, name=I, getId()=data_gen_I]
org.jlibsedml.Report@c84c5553
SED-ML version level not supported, import may fail
SED-ML version level not supported, import may fail
Unsupported version, import may fail
Task (id='BIOMD0000000912_task') is compatible, solver match found in ontology: 'KISAO:0000019' matched to CVODE
SBML Import: no assignment rules.
SBML Import: no assignment rules.
LOGGER: msgLevel=MediumPriority, msgType=OverallWarning, Issues encountered during SBML Import:
WARNING: The imported model has one or more reactions that have ids/names that are longer than 64 characters.
User is STRONGLY recommeded to shorten the names to avoid problems with the length of expressions these names might be used in.
Succesful model import: SBML file /tmp/temp604121500294723938.xml
/tmp/out/BIOMD0000000912_sim.sedml
false
cbit.vcell.solver.ode.CVodeSolverStandalone@46b695ec
Finished: SOLVER_FINISHED:completed
Succesful execution: Model 'archive__BIOMD0000000912' Task 'Caravagna2010'.
Generating report report
.
report : /tmp/out/./BIOMD0000000912_sim.sedml/report.csv
HDF conversion successful
No PDF files found, skipping archiving plots.zip
files
Archiving resultant CSV files to reports.zip
.
### `sedml.SimulatorSupportsComputeModelChanges` (13.4 s)
Test that a simulator supports compute model changes
Reason for skip:
The execution of the COMBINE/OMEX archive did not fail as expected
Log:
VCell CLI input archive /tmp/in/archive.omex
Sep 20, 2021 4:09:39 PM java.util.prefs.FileSystemPreferences$1 run
INFO: Created user preferences directory.
TempPath Created: /tmp/vcell_temp_78461bfd-8788-4093-8c41-91d5fc3d14224062695634722435361
Python 3.8.10
utilPath: /usr/local/app/vcell/installDir/python/vcell_cli_utils
cliUtilPath: /usr/local/app/vcell/installDir/python/vcell_cli_utils/vcell_cli_utils
cliPath: /usr/local/app/vcell/installDir/python/vcell_cli_utils/vcell_cli_utils/cli.py
statusPath: /usr/local/app/vcell/installDir/python/vcell_cli_utils/vcell_cli_utils/status.py
SED-ML version level not supported, import may fail
SED-ML version level not supported, import may fail
Unsupported version, import may fail
Found 1 SED-ML document(s) with 1 model(s), 1 simulation(s), 1 task(s), 1 report(s), 0 plot2D(s), and 0 plot3D(s)
Successful translation: SED-ML file BIOMD0000000912_sim.sedml
name: BIOMD0000000912_sim
SED-ML version level not supported, import may fail
SED-ML version level not supported, import may fail
Unsupported version, import may fail
Model [id=BIOMD0000000912, name=Caravagna2010 - Tumour suppression by immune system, language=urn:sedml:language:sbml, src=Caravagna2010.xml]
UniformTimeCourse [initialTime=0.0, numberOfPoints=10, outputEndTime=2.0, outputStartTime=0.0, Algorithm [kisaoID=KISAO:0000019], getId()=BIOMD0000000912_sim]
Task [modelReference=BIOMD0000000912, name=Caravagna2010, simulationReference=BIOMD0000000912_sim, getId()=BIOMD0000000912_task]
DataGenerator [math=org.jmathml.ASTRootNode@53d102a2, name=time, getId()=data_gen_time]
DataGenerator [math=org.jmathml.ASTRootNode@6c45ee6e, name=T, getId()=data_gen_T]
DataGenerator [math=org.jmathml.ASTRootNode@6b3e12b5, name=E, getId()=data_gen_E]
DataGenerator [math=org.jmathml.ASTRootNode@5aac4250, name=I, getId()=data_gen_I]
org.jlibsedml.Report@c84c5553
SED-ML version level not supported, import may fail
SED-ML version level not supported, import may fail
Unsupported version, import may fail
Task (id='BIOMD0000000912_task') is compatible, solver match found in ontology: 'KISAO:0000019' matched to CVODE
SBML Import: no assignment rules.
SBML Import: no assignment rules.
LOGGER: msgLevel=MediumPriority, msgType=OverallWarning, Issues encountered during SBML Import:
WARNING: The imported model has one or more reactions that have ids/names that are longer than 64 characters.
User is STRONGLY recommeded to shorten the names to avoid problems with the length of expressions these names might be used in.
Succesful model import: SBML file /tmp/temp9218356757918496433.xml
/tmp/out/BIOMD0000000912_sim.sedml
false
cbit.vcell.solver.ode.CVodeSolverStandalone@f14e5bf
Finished: SOLVER_FINISHED:completed
Succesful execution: Model 'archive__BIOMD0000000912' Task 'Caravagna2010'.
Generating report report
.
report : /tmp/out/./BIOMD0000000912_sim.sedml/report.csv
HDF conversion successful
No PDF files found, skipping archiving plots.zip
files
Archiving resultant CSV files to reports.zip
.
### `sedml.SimulatorSupportsDataSetsWithDifferentShapes` (16.1 s)
Test that a simulator supports data generators with different shapes
Reason for skip:
[Errno 2] Unable to open file (unable to open file: name = '/tmp/tmpvn8zopbb/sedml/sedml.SimulatorSupportsDataSetsWithDifferentShapes/1/outputs/reports.h5', errno = 2, error message = 'No such file or directory', flags = 0, o_flags = 0)
Log:
VCell CLI input archive /tmp/in/archive.omex
Sep 20, 2021 4:10:09 PM java.util.prefs.FileSystemPreferences$1 run
INFO: Created user preferences directory.
TempPath Created: /tmp/vcell_temp_5a786858-eae1-4df2-b61c-def0032013d07345111234765477567
Python 3.8.10
utilPath: /usr/local/app/vcell/installDir/python/vcell_cli_utils
cliUtilPath: /usr/local/app/vcell/installDir/python/vcell_cli_utils/vcell_cli_utils
cliPath: /usr/local/app/vcell/installDir/python/vcell_cli_utils/vcell_cli_utils/cli.py
statusPath: /usr/local/app/vcell/installDir/python/vcell_cli_utils/vcell_cli_utils/status.py
SED-ML version level not supported, import may fail
SED-ML version level not supported, import may fail
Unsupported version, import may fail
Found 1 SED-ML document(s) with 1 model(s), 2 simulation(s), 2 task(s), 1 report(s), 0 plot2D(s), and 0 plot3D(s)
Successful translation: SED-ML file BIOMD0000000912_sim.sedml
name: BIOMD0000000912_sim
SED-ML version level not supported, import may fail
SED-ML version level not supported, import may fail
Unsupported version, import may fail
Model [id=BIOMD0000000912, name=Caravagna2010 - Tumour suppression by immune system, language=urn:sedml:language:sbml, src=Caravagna2010.xml]
UniformTimeCourse [initialTime=0.0, numberOfPoints=10, outputEndTime=2.0, outputStartTime=0.0, Algorithm [kisaoID=KISAO:0000019], getId()=BIOMD0000000912_sim]
UniformTimeCourse [initialTime=0.0, numberOfPoints=20, outputEndTime=4.0, outputStartTime=0.0, Algorithm [kisaoID=KISAO:0000019], getId()=BIOMD0000000912_sim__copy_2]
Task [modelReference=BIOMD0000000912, name=Caravagna2010, simulationReference=BIOMD0000000912_sim, getId()=BIOMD0000000912_task]
Task [modelReference=BIOMD0000000912, name=null, simulationReference=BIOMD0000000912_simcopy_2, getId()=BIOMD0000000912_taskcopy_2]
DataGenerator [math=org.jmathml.ASTRootNode@146dfe6, name=time, getId()=data_gen_time]
DataGenerator [math=org.jmathml.ASTRootNode@4716be8b, name=T, getId()=data_gen_T]
DataGenerator [math=org.jmathml.ASTRootNode@1fc32e4f, name=E, getId()=data_gen_E]
DataGenerator [math=org.jmathml.ASTRootNode@2f67b837, name=I, getId()=data_gen_I]
DataGenerator [math=org.jmathml.ASTRootNode@1869fbd2, name=null, getId()=data_gen_time__copy_2]
DataGenerator [math=org.jmathml.ASTRootNode@6af9fcb2, name=null, getId()=data_gen_T__copy_2]
DataGenerator [math=org.jmathml.ASTRootNode@6cce16f4, name=null, getId()=data_gen_E__copy_2]
DataGenerator [math=org.jmathml.ASTRootNode@7efaad5a, name=null, getId()=data_gen_I__copy_2]
org.jlibsedml.Report@c84c5553
SED-ML version level not supported, import may fail
SED-ML version level not supported, import may fail
Unsupported version, import may fail
Task (id='BIOMD0000000912_task') is compatible, solver match found in ontology: 'KISAO:0000019' matched to CVODE
SBML Import: no assignment rules.
SBML Import: no assignment rules.
LOGGER: msgLevel=MediumPriority, msgType=OverallWarning, Issues encountered during SBML Import:
WARNING: The imported model has one or more reactions that have ids/names that are longer than 64 characters.
User is STRONGLY recommeded to shorten the names to avoid problems with the length of expressions these names might be used in.
Succesful model import: SBML file /tmp/temp535366273347062145.xml
Task (id='BIOMD0000000912_task__copy_2') is compatible, solver match found in ontology: 'KISAO:0000019' matched to CVODE
/tmp/out/BIOMD0000000912_sim.sedml
false
cbit.vcell.solver.ode.CVodeSolverStandalone@1bdbf9be
Finished: SOLVER_FINISHED:completed
Succesful execution: Model 'archive__BIOMD0000000912' Task 'Caravagna2010'.
/tmp/out/BIOMD0000000912_sim.sedml
false
cbit.vcell.solver.ode.CVodeSolverStandalone@606fc505
Finished: SOLVER_FINISHED:completed
Succesful execution: Model 'archive__BIOMD0000000912' Task 'BIOMD0000000912_task__copy_2'.
Generating report report
.
report : /tmp/out/./BIOMD0000000912_sim.sedml/report.csv
Traceback (most recent call last):
File "/usr/local/app/vcell/installDir/python/vcell_cli_utils/vcell_cli_utils/cli.py", line 416, in
fire.Fire({
File "/usr/local/lib/python3.8/dist-packages/fire/core.py", line 141, in Fire
component_trace = _Fire(component, args, parsed_flag_args, context, name)
File "/usr/local/lib/python3.8/dist-packages/fire/core.py", line 466, in _Fire
component, remaining_args = _CallAndUpdateTrace(
File "/usr/local/lib/python3.8/dist-packages/fire/core.py", line 681, in _CallAndUpdateTrace
component = fn(*varargs, **kwargs)
File "/usr/local/app/vcell/installDir/python/vcell_cli_utils/vcell_cli_utils/cli.py", line 151, in exec_plot_output_sed_doc
data_set_df = pd.read_csv(report_filename, header=None).T
File "/usr/local/lib/python3.8/dist-packages/pandas/util/_decorators.py", line 311, in wrapper
return func(*args, **kwargs)
File "/usr/local/lib/python3.8/dist-packages/pandas/io/parsers/readers.py", line 586, in read_csv
return _read(filepath_or_buffer, kwds)
File "/usr/local/lib/python3.8/dist-packages/pandas/io/parsers/readers.py", line 488, in _read
return parser.read(nrows)
File "/usr/local/lib/python3.8/dist-packages/pandas/io/parsers/readers.py", line 1047, in read
index, columns, col_dict = self._engine.read(nrows)
File "/usr/local/lib/python3.8/dist-packages/pandas/io/parsers/c_parser_wrapper.py", line 223, in read
chunks = self._reader.read_low_memory(nrows)
File "pandas/_libs/parsers.pyx", line 801, in pandas._libs.parsers.TextReader.read_low_memory
File "pandas/_libs/parsers.pyx", line 857, in pandas._libs.parsers.TextReader._read_rows
File "pandas/_libs/parsers.pyx", line 843, in pandas._libs.parsers.TextReader._tokenize_rows
File "pandas/_libs/parsers.pyx", line 1925, in pandas._libs.parsers.raise_parser_error
pandas.errors.ParserError: Error tokenizing data. C error: Expected 14 fields in line 5, saw 24
HDF conversion failed
No PDF files found, skipping archiving plots.zip
files
Archiving resultant CSV files to reports.zip
.
### `sedml.SimulatorSupportsModelAttributeChanges` (13.5 s)
Test that a simulator supports changes to the attributes of model elements
Reason for skip:
The execution of the COMBINE/OMEX archive did not fail as expected
Log:
VCell CLI input archive /tmp/in/archive.omex
Sep 20, 2021 4:10:25 PM java.util.prefs.FileSystemPreferences$1 run
INFO: Created user preferences directory.
TempPath Created: /tmp/vcell_temp_4cc35fc3-6a02-4212-b41f-377e81e6995d1187824018102504523
Python 3.8.10
utilPath: /usr/local/app/vcell/installDir/python/vcell_cli_utils
cliUtilPath: /usr/local/app/vcell/installDir/python/vcell_cli_utils/vcell_cli_utils
cliPath: /usr/local/app/vcell/installDir/python/vcell_cli_utils/vcell_cli_utils/cli.py
statusPath: /usr/local/app/vcell/installDir/python/vcell_cli_utils/vcell_cli_utils/status.py
SED-ML version level not supported, import may fail
SED-ML version level not supported, import may fail
Unsupported version, import may fail
Found 1 SED-ML document(s) with 1 model(s), 1 simulation(s), 1 task(s), 1 report(s), 0 plot2D(s), and 0 plot3D(s)
Successful translation: SED-ML file BIOMD0000000912_sim.sedml
name: BIOMD0000000912_sim
SED-ML version level not supported, import may fail
SED-ML version level not supported, import may fail
Unsupported version, import may fail
Model [id=BIOMD0000000912, name=Caravagna2010 - Tumour suppression by immune system, language=urn:sedml:language:sbml, src=Caravagna2010.xml]
UniformTimeCourse [initialTime=0.0, numberOfPoints=10, outputEndTime=2.0, outputStartTime=0.0, Algorithm [kisaoID=KISAO:0000019], getId()=BIOMD0000000912_sim]
Task [modelReference=BIOMD0000000912, name=Caravagna2010, simulationReference=BIOMD0000000912_sim, getId()=BIOMD0000000912_task]
DataGenerator [math=org.jmathml.ASTRootNode@31ff43be, name=time, getId()=data_gen_time]
DataGenerator [math=org.jmathml.ASTRootNode@5b6ec132, name=T, getId()=data_gen_T]
DataGenerator [math=org.jmathml.ASTRootNode@5c44c582, name=E, getId()=data_gen_E]
DataGenerator [math=org.jmathml.ASTRootNode@67d18ed7, name=I, getId()=data_gen_I]
org.jlibsedml.Report@c84c5553
SED-ML version level not supported, import may fail
SED-ML version level not supported, import may fail
Unsupported version, import may fail
Task (id='BIOMD0000000912_task') is compatible, solver match found in ontology: 'KISAO:0000019' matched to CVODE
SBML Import: no assignment rules.
SBML Import: no assignment rules.
LOGGER: msgLevel=MediumPriority, msgType=OverallWarning, Issues encountered during SBML Import:
WARNING: The imported model has one or more reactions that have ids/names that are longer than 64 characters.
User is STRONGLY recommeded to shorten the names to avoid problems with the length of expressions these names might be used in.
Succesful model import: SBML file /tmp/temp178843838373639488.xml
/tmp/out/BIOMD0000000912_sim.sedml
false
cbit.vcell.solver.ode.CVodeSolverStandalone@7068f7ca
Finished: SOLVER_FINISHED:completed
Succesful execution: Model 'archive__BIOMD0000000912' Task 'Caravagna2010'.
Generating report report
.
report : /tmp/out/./BIOMD0000000912_sim.sedml/report.csv
HDF conversion successful
No PDF files found, skipping archiving plots.zip
files
Archiving resultant CSV files to reports.zip
.
### `sedml.SimulatorSupportsRepeatedTasksWithChanges` (5.6 s)
Test that a simulator supports repeated tasks with multiple subtasks
Reason for skip:
[Errno 2] Unable to open file (unable to open file: name = '/tmp/tmpvn8zopbb/sedml/sedml.SimulatorSupportsRepeatedTasksWithChanges/2/outputs/reports.h5', errno = 2, error message = 'No such file or directory', flags = 0, o_flags = 0)
Log:
VCell CLI input archive /tmp/in/archive.omex
Sep 20, 2021 4:11:19 PM java.util.prefs.FileSystemPreferences$1 run
INFO: Created user preferences directory.
TempPath Created: /tmp/vcell_temp_f61b6469-2f1c-45a8-8dc1-f28ba032b3b47675709308851223843
Python 3.8.10
utilPath: /usr/local/app/vcell/installDir/python/vcell_cli_utils
cliUtilPath: /usr/local/app/vcell/installDir/python/vcell_cli_utils/vcell_cli_utils
cliPath: /usr/local/app/vcell/installDir/python/vcell_cli_utils/vcell_cli_utils/cli.py
statusPath: /usr/local/app/vcell/installDir/python/vcell_cli_utils/vcell_cli_utils/status.py
SED-ML version level not supported, import may fail
java.lang.NullPointerException
at org.jlibsedml.SEDMLReader.getRepeatedTask(SEDMLReader.java:284)
at org.jlibsedml.SEDMLReader.getSedDocument(SEDMLReader.java:781)
at org.jlibsedml.Libsedml.buildDocumentFromXMLTree(Libsedml.java:200)
at org.jlibsedml.Libsedml.readDocumentFromString(Libsedml.java:360)
at org.jlibsedml.Libsedml.readDocument(Libsedml.java:92)
at org.vcell.cli.CLIStandalone.singleExecOmex(CLIStandalone.java:135)
at org.vcell.cli.CLIStandalone.main(CLIStandalone.java:65)
SED-ML processing for /tmp/vcell_temp_f61b6469-2f1c-45a8-8dc1-f28ba032b3b47675709308851223843/BIOMD0000000912_sim.sedml failed with error: null
org.jlibsedml.XMLException
at org.jlibsedml.SEDMLReader.getSedDocument(SEDMLReader.java:815)
at org.jlibsedml.Libsedml.buildDocumentFromXMLTree(Libsedml.java:200)
at org.jlibsedml.Libsedml.readDocumentFromString(Libsedml.java:360)
at org.jlibsedml.Libsedml.readDocument(Libsedml.java:92)
at org.vcell.cli.CLIStandalone.singleExecOmex(CLIStandalone.java:135)
at org.vcell.cli.CLIStandalone.main(CLIStandalone.java:65)
One or more errors encountered while executing archive /tmp/in/archive.omex
VCell CLI input archive /tmp/in/archive.omex
Sep 20, 2021 4:11:22 PM java.util.prefs.FileSystemPreferences$1 run
INFO: Created user preferences directory.
TempPath Created: /tmp/vcell_temp_d57007b7-5e57-42b3-83d1-98e605a0c3d35349398771802609843
Python 3.8.10
utilPath: /usr/local/app/vcell/installDir/python/vcell_cli_utils
cliUtilPath: /usr/local/app/vcell/installDir/python/vcell_cli_utils/vcell_cli_utils
cliPath: /usr/local/app/vcell/installDir/python/vcell_cli_utils/vcell_cli_utils/cli.py
statusPath: /usr/local/app/vcell/installDir/python/vcell_cli_utils/vcell_cli_utils/status.py
SED-ML version level not supported, import may fail
java.lang.NullPointerException
at org.jlibsedml.SEDMLReader.getRepeatedTask(SEDMLReader.java:284)
at org.jlibsedml.SEDMLReader.getSedDocument(SEDMLReader.java:781)
at org.jlibsedml.Libsedml.buildDocumentFromXMLTree(Libsedml.java:200)
at org.jlibsedml.Libsedml.readDocumentFromString(Libsedml.java:360)
at org.jlibsedml.Libsedml.readDocument(Libsedml.java:92)
at org.vcell.cli.CLIStandalone.singleExecOmex(CLIStandalone.java:135)
at org.vcell.cli.CLIStandalone.main(CLIStandalone.java:65)
SED-ML processing for /tmp/vcell_temp_d57007b7-5e57-42b3-83d1-98e605a0c3d35349398771802609843/BIOMD0000000912_sim.sedml failed with error: null
org.jlibsedml.XMLException
at org.jlibsedml.SEDMLReader.getSedDocument(SEDMLReader.java:815)
at org.jlibsedml.Libsedml.buildDocumentFromXMLTree(Libsedml.java:200)
at org.jlibsedml.Libsedml.readDocumentFromString(Libsedml.java:360)
at org.jlibsedml.Libsedml.readDocument(Libsedml.java:92)
at org.vcell.cli.CLIStandalone.singleExecOmex(CLIStandalone.java:135)
at org.vcell.cli.CLIStandalone.main(CLIStandalone.java:65)
One or more errors encountered while executing archive /tmp/in/archive.omex
### `sedml.SimulatorSupportsRepeatedTasksWithFunctionalRangeVariables` (5.6 s)
Test that a simulator supports repeated tasks over nested functional ranges based on model (specification) variables
Reason for skip:
[Errno 2] Unable to open file (unable to open file: name = '/tmp/tmpvn8zopbb/sedml/sedml.SimulatorSupportsRepeatedTasksWithFunctionalRangeVariables/2/outputs/reports.h5', errno = 2, error message = 'No such file or directory', flags = 0, o_flags = 0)
Log:
VCell CLI input archive /tmp/in/archive.omex
Sep 20, 2021 4:11:25 PM java.util.prefs.FileSystemPreferences$1 run
INFO: Created user preferences directory.
TempPath Created: /tmp/vcell_temp_1a099e03-fefa-47e9-b7bb-c73d323b6d394308352691916982459
Python 3.8.10
utilPath: /usr/local/app/vcell/installDir/python/vcell_cli_utils
cliUtilPath: /usr/local/app/vcell/installDir/python/vcell_cli_utils/vcell_cli_utils
cliPath: /usr/local/app/vcell/installDir/python/vcell_cli_utils/vcell_cli_utils/cli.py
statusPath: /usr/local/app/vcell/installDir/python/vcell_cli_utils/vcell_cli_utils/status.py
SED-ML version level not supported, import may fail
java.lang.NullPointerException
at org.jlibsedml.SEDMLReader.getRepeatedTask(SEDMLReader.java:284)
at org.jlibsedml.SEDMLReader.getSedDocument(SEDMLReader.java:781)
at org.jlibsedml.Libsedml.buildDocumentFromXMLTree(Libsedml.java:200)
at org.jlibsedml.Libsedml.readDocumentFromString(Libsedml.java:360)
at org.jlibsedml.Libsedml.readDocument(Libsedml.java:92)
at org.vcell.cli.CLIStandalone.singleExecOmex(CLIStandalone.java:135)
at org.vcell.cli.CLIStandalone.main(CLIStandalone.java:65)
SED-ML processing for /tmp/vcell_temp_1a099e03-fefa-47e9-b7bb-c73d323b6d394308352691916982459/BIOMD0000000912_sim.sedml failed with error: null
org.jlibsedml.XMLException
at org.jlibsedml.SEDMLReader.getSedDocument(SEDMLReader.java:815)
at org.jlibsedml.Libsedml.buildDocumentFromXMLTree(Libsedml.java:200)
at org.jlibsedml.Libsedml.readDocumentFromString(Libsedml.java:360)
at org.jlibsedml.Libsedml.readDocument(Libsedml.java:92)
at org.vcell.cli.CLIStandalone.singleExecOmex(CLIStandalone.java:135)
at org.vcell.cli.CLIStandalone.main(CLIStandalone.java:65)
One or more errors encountered while executing archive /tmp/in/archive.omex
VCell CLI input archive /tmp/in/archive.omex
Sep 20, 2021 4:11:28 PM java.util.prefs.FileSystemPreferences$1 run
INFO: Created user preferences directory.
TempPath Created: /tmp/vcell_temp_5a5ce89c-ffb8-4196-9614-57700013bda51757779034028293380
Python 3.8.10
utilPath: /usr/local/app/vcell/installDir/python/vcell_cli_utils
cliUtilPath: /usr/local/app/vcell/installDir/python/vcell_cli_utils/vcell_cli_utils
cliPath: /usr/local/app/vcell/installDir/python/vcell_cli_utils/vcell_cli_utils/cli.py
statusPath: /usr/local/app/vcell/installDir/python/vcell_cli_utils/vcell_cli_utils/status.py
SED-ML version level not supported, import may fail
java.lang.NullPointerException
at org.jlibsedml.SEDMLReader.getRepeatedTask(SEDMLReader.java:284)
at org.jlibsedml.SEDMLReader.getSedDocument(SEDMLReader.java:781)
at org.jlibsedml.Libsedml.buildDocumentFromXMLTree(Libsedml.java:200)
at org.jlibsedml.Libsedml.readDocumentFromString(Libsedml.java:360)
at org.jlibsedml.Libsedml.readDocument(Libsedml.java:92)
at org.vcell.cli.CLIStandalone.singleExecOmex(CLIStandalone.java:135)
at org.vcell.cli.CLIStandalone.main(CLIStandalone.java:65)
SED-ML processing for /tmp/vcell_temp_5a5ce89c-ffb8-4196-9614-57700013bda51757779034028293380/BIOMD0000000912_sim.sedml failed with error: null
org.jlibsedml.XMLException
at org.jlibsedml.SEDMLReader.getSedDocument(SEDMLReader.java:815)
at org.jlibsedml.Libsedml.buildDocumentFromXMLTree(Libsedml.java:200)
at org.jlibsedml.Libsedml.readDocumentFromString(Libsedml.java:360)
at org.jlibsedml.Libsedml.readDocument(Libsedml.java:92)
at org.vcell.cli.CLIStandalone.singleExecOmex(CLIStandalone.java:135)
at org.vcell.cli.CLIStandalone.main(CLIStandalone.java:65)
One or more errors encountered while executing archive /tmp/in/archive.omex
### `sedml.SimulatorSupportsRepeatedTasksWithFunctionalRanges` (2.6 s)
Test that a simulator supports repeated tasks over functional ranges
Reason for skip:
[Errno 2] Unable to open file (unable to open file: name = '/tmp/tmpvn8zopbb/sedml/sedml.SimulatorSupportsRepeatedTasksWithFunctionalRanges/1/outputs/reports.h5', errno = 2, error message = 'No such file or directory', flags = 0, o_flags = 0)
Log:
VCell CLI input archive /tmp/in/archive.omex
Sep 20, 2021 4:11:31 PM java.util.prefs.FileSystemPreferences$1 run
INFO: Created user preferences directory.
TempPath Created: /tmp/vcell_temp_254ef46b-88c1-475a-9d3c-2ef9bc6163364713617930282021337
Python 3.8.10
utilPath: /usr/local/app/vcell/installDir/python/vcell_cli_utils
cliUtilPath: /usr/local/app/vcell/installDir/python/vcell_cli_utils/vcell_cli_utils
cliPath: /usr/local/app/vcell/installDir/python/vcell_cli_utils/vcell_cli_utils/cli.py
statusPath: /usr/local/app/vcell/installDir/python/vcell_cli_utils/vcell_cli_utils/status.py
SED-ML version level not supported, import may fail
java.lang.NullPointerException
at org.jlibsedml.SEDMLReader.getRepeatedTask(SEDMLReader.java:284)
at org.jlibsedml.SEDMLReader.getSedDocument(SEDMLReader.java:781)
at org.jlibsedml.Libsedml.buildDocumentFromXMLTree(Libsedml.java:200)
at org.jlibsedml.Libsedml.readDocumentFromString(Libsedml.java:360)
at org.jlibsedml.Libsedml.readDocument(Libsedml.java:92)
at org.vcell.cli.CLIStandalone.singleExecOmex(CLIStandalone.java:135)
at org.vcell.cli.CLIStandalone.main(CLIStandalone.java:65)
SED-ML processing for /tmp/vcell_temp_254ef46b-88c1-475a-9d3c-2ef9bc6163364713617930282021337/BIOMD0000000912_sim.sedml failed with error: null
org.jlibsedml.XMLException
at org.jlibsedml.SEDMLReader.getSedDocument(SEDMLReader.java:815)
at org.jlibsedml.Libsedml.buildDocumentFromXMLTree(Libsedml.java:200)
at org.jlibsedml.Libsedml.readDocumentFromString(Libsedml.java:360)
at org.jlibsedml.Libsedml.readDocument(Libsedml.java:92)
at org.vcell.cli.CLIStandalone.singleExecOmex(CLIStandalone.java:135)
at org.vcell.cli.CLIStandalone.main(CLIStandalone.java:65)
One or more errors encountered while executing archive /tmp/in/archive.omex
### `sedml.SimulatorSupportsRepeatedTasksWithLinearUniformRanges` (2.7 s)
Test that a simulato ...
- After correcting your simulator, please edit the first block of this issue to re-initiate this validation.
-
- The complete log of your validation/submission job, including further information about the failure, is available for 90 days [here](https://github.com/biosimulators/Biosimulators/actions/runs/1254243083). The results of the validation of your image will also be available shortly as a JSON file. A link to this file will be available from the "Artifacts" section at the bottom of [this page](https://github.com/biosimulators/Biosimulators/actions/runs/1254243083).
@moraru @danv61 the 3 failed test cases appear to be due to the same issue, that the data for SED-ML plots is not being exported as expected. Sample results for the Caravagna OMEX file are here. I copied this to virtualcell/vcell#81 as well.
@jonrkarr this appears to be a side effect of fixing warnings generated by the validator about "unexpected reports"
when plot outputs are present reports were being generated with ids corresponding to the plots and dataset ids corresponding to all curve elements, and packaged into the reports zip file; the interpretation of the warning was that they should not be present and were therefore discarded
The message body above was not correctly formatted.
url
must be a property ofimage
. @moraru this likely needs to be corrected in your submission action.
indeed, cut and paste error missing two spaces for proper indent
@jonrkarr this appears to be a side effect of fixing warnings generated by the validator about "unexpected reports"
when plot outputs are present reports were being generated with ids corresponding to the plots and dataset ids corresponding to all curve elements, and packaged into the reports zip file; the interpretation of the warning was that they should not be present and were therefore discarded
should be fixed in 7.4.0.22
id: vcell version: 7.4.0.21 specificationsUrl: https://raw.githubusercontent.com/virtualcell/vcell/7.4.0.21/biosimulators.json specificationsPatch: version: 7.4.0.21 image: url: ghcr.io/virtualcell/biosimulators_vcell:7.4.0.21 validateImage: true commitSimulator: true
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