Submit NetPyNE <IP_ADDRESS>

id: netpyne
version: <IP_ADDRESS>
specificationsUrl: https://raw.githubusercontent.com/biosimulators/Biosimulators_pyNeuroML/65687288d4c2cc3aa48f3814a6c5503f32701c32/biosimulators-netpyne.json
specificationsPatch:
version: <IP_ADDRESS>
image:
url: ghcr.io/biosimulators/biosimulators_pyneuroml/netpyne:<IP_ADDRESS>
validateImage: true
commitSimulator: true

Thank you @biosimulators-daemon 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 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 from the "Artifacts" section at the bottom of this page.

The specifications of your simulator is valid!

Summary of tests

Executed 66 test cases

Passed 30 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
log.SimulatorReportsTheStatusOfTheExecutionOfCombineArchives
log.SimulatorReportsTheStatusOfTheExecutionOfSedDocuments
log.SimulatorReportsTheStatusOfTheExecutionOfSedOutputs
log.SimulatorReportsTheStatusOfTheExecutionOfSedTasks
published_project.SimulatorCanExecutePublishedProject:neuroml-lems/Hodgkin-Huxley-cell-CVODE
results_report.SimulatorGeneratesReportsOfSimulationResults
sedml.SimulatorCanResolveModelSourcesDefinedByUriFragments
sedml.SimulatorCanResolveModelSourcesDefinedByUriFragmentsAndInheritChanges
sedml.SimulatorProducesLinear2DPlots
sedml.SimulatorProducesLogarithmic2DPlots
sedml.SimulatorProducesMultiplePlots
sedml.SimulatorProducesReportsWithCuratedNumberOfDimensions
sedml.SimulatorSupportsDataGeneratorsWithDifferentShapes
sedml.SimulatorSupportsDataSetsWithDifferentShapes
sedml.SimulatorSupportsModelsSimulationsTasksDataGeneratorsAndReports
sedml.SimulatorSupportsMultipleReportsPerSedDocument
sedml.SimulatorSupportsMultipleTasksPerSedDocument
sedml.SimulatorSupportsUniformTimeCoursesWithNonZeroOutputStartTimes

Failed 0 test cases

Skipped 36 test cases:

published_project.SimulatorCanExecutePublishedProject:bngl/Dolan-PLoS-Comput-Biol-2015-NHEJ
published_project.SimulatorCanExecutePublishedProject:bngl/test-bngl
published_project.SimulatorCanExecutePublishedProject:cellml/Lorenz-system
published_project.SimulatorCanExecutePublishedProject:neuroml-lems/Hodgkin-Huxley-cell-Euler
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-continuous
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
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
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:smoldyn/Lotka-Volterra
sedml.SimulatorProducesLinear3DPlots
sedml.SimulatorProducesLogarithmic3DPlots
sedml.SimulatorSupportsAddReplaceRemoveModelElementChanges
sedml.SimulatorSupportsAlgorithmParameters
sedml.SimulatorSupportsComputeModelChanges
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

Skips
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/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: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:sbml-core/Caravagna-J-Theor-Biol-2010-tumor-suppressive-oscillations (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:sbml-core/Ciliberto-J-Cell-Biol-2003-morphogenesis-checkpoint-continuous (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: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 (0.0 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

Reason for skip:
Case requires model formats format_2585 and simulation algorithms KISAO_0000019, KISAO_0000027, KISAO_0000030

Log:

published_project.SimulatorCanExecutePublishedProject:sbml-core/Vilar-PNAS-2002-minimal-circardian-clock-continuous (0.0 s)
Required model formats and simulation algorithms for SED tasks:

Format: format_2585
Algorithm: KISAO_0000019
Format: format_2585
Algorithm: KISAO_0000030

Reason for skip:
Case requires model formats format_2585 and simulation algorithms KISAO_0000019, KISAO_0000030

Log:

published_project.SimulatorCanExecutePublishedProject:sbml-core/Vilar-PNAS-2002-minimal-circardian-clock-discrete-NRM (0.0 s)
Required model formats and simulation algorithms for SED tasks:

Format: format_2585
Algorithm: KISAO_0000027

Reason for skip:
Case requires model formats format_2585 and simulation algorithms KISAO_0000027

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: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:

sedml.SimulatorProducesLinear3DPlots (0.0 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 (0.0 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.SimulatorSupportsAddReplaceRemoveModelElementChanges (0.0 s)
Test that a simulator supports model changes that involve adding, replacing, and removing model elements.
Reason for skip:
'cython_function_or_method' object has no attribute 'rpartition'

Log:

sedml.SimulatorSupportsAlgorithmParameters (0.0 s)
Test that a simulator supports setting the values of parameters of algorithms
Reason for skip:
No curated COMBINE/OMEX archives are available to generate archives for testing

Log:

sedml.SimulatorSupportsComputeModelChanges (0.0 s)
Test that a simulator supports compute model changes
Reason for skip:
'cython_function_or_method' object has no attribute 'rpartition'

Log:

sedml.SimulatorSupportsModelAttributeChanges (0.0 s)
Test that a simulator supports changes to the attributes of model elements
Reason for skip:
'cython_function_or_method' object has no attribute 'rpartition'

Log:

sedml.SimulatorSupportsRepeatedTasksWithChanges (0.0 s)
Test that a simulator supports repeated tasks with multiple subtasks
Reason for skip:
'cython_function_or_method' object has no attribute 'rpartition'

Log:

sedml.SimulatorSupportsRepeatedTasksWithFunctionalRangeVariables (0.0 s)
Test that a simulator supports repeated tasks over nested functional ranges based on model (specification) variables
Reason for skip:
'cython_function_or_method' object has no attribute 'rpartition'

Log:

sedml.SimulatorSupportsRepeatedTasksWithFunctionalRanges (5.7 s)
Test that a simulator supports repeated tasks over functional ranges
Reason for skip:
The image 'ghcr.io/biosimulators/biosimulators_pyneuroml/netpyne:<IP_ADDRESS>' could not execute the archive:

  Unknown error

Log:
Archive contains 1 SED-ML documents with 1 models, 1 simulations, 2 tasks, 2 reports, and 0 plots:

  simulation.sedml:

    Tasks (2):

      __repeated_task_0

      task

    Reports (2):

      __repeated_task_report: 5 data sets

      task_report: 5 data sets

Executing SED-ML file 0: simulation.sedml ...

Bundling outputs ...

Cleaning up ...

============= SUMMARY =============

Executed 1 SED documents:

  SED documents (1):

    Succeeded: 0

    Skipped: 0

    Failed: 1

  Tasks (2):

    Succeeded: 1

    Skipped: 0

    Failed: 1

  Outputs (2):

    Succeeded: 1

    Skipped: 1

    Failed: 0

The COMBINE/OMEX did not execute successfully:

  The SED document did not execute successfully:

    `pyNeuroML` was not able to execute `/tmp/tmpo5zzz17n.xml`:

      pyNeuroML >>> *** Problem running command:

      pyNeuroML >>>        Command 'java -Xmx5919M  -Djava.awt.headless=true -jar  "/opt/conda/envs/py39/lib/python3.9/site-packages/pyneuroml/lib/jNeuroML-0.10.3-jar-with-dependencies.jar"  "/tmp/tmphwvzd66r.xml"  -nogui -I ''' returned non-zero exit status 1.

      pyNeuroML >>>  jNeuroML >>   jNeuroML v0.10.3

      pyNeuroML >>>  jNeuroML >>  Loading: /tmp/tmphwvzd66r.xml with jLEMS, NO GUI mode...

      pyNeuroML >>>  jNeuroML >>  org.lemsml.jlems.core.sim.ContentError: Can't find file at path: NaConductance.channel.nml

      pyNeuroML >>>  jNeuroML >>  Search directories are: [/tmp/tmpk9_qll3q, /tmp, /tmp, /tmp/tmpk9_qll3q]

      pyNeuroML >>>  jNeuroML >>  Search paths in jar are: [/NeuroML2CoreTypes]

      pyNeuroML >>>  jNeuroML >>

      pyNeuroML >>>  jNeuroML >>  	at org.lemsml.jlems.io.reader.JarResourceInclusionReader.getRelativeContent(JarResourceInclusionReader.java:179)

      pyNeuroML >>>  jNeuroML >>  	at org.neuroml.export.utils.NeuroMLInclusionReader.getRelativeContent(NeuroMLInclusionReader.java:61)

      pyNeuroML >>>  jNeuroML >>  	at org.lemsml.jlems.core.sim.AbstractInclusionReader.getIncludeContent(AbstractInclusionReader.java:41)

      pyNeuroML >>>  jNeuroML >>  	at org.lemsml.jlems.core.sim.AbstractInclusionReader.insertIncludes(AbstractInclusionReader.java:71)

      pyNeuroML >>>  jNeuroML >>  	at org.neuroml.export.utils.NeuroMLInclusionReader.insertIncludes(NeuroMLInclusionReader.java:102)

      pyNeuroML >>>  jNeuroML >>  	at org.lemsml.jlems.core.sim.AbstractInclusionReader.read(AbstractInclusionReader.java:24)

      pyNeuroML >>>  jNeuroML >>  	at org.neuroml.export.utils.Utils.readLemsNeuroMLFile(Utils.java:259)

      pyNeuroML >>>  jNeuroML >>  	at org.neuroml.export.utils.Utils.readLemsNeuroMLFile(Utils.java:245)

      pyNeuroML >>>  jNeuroML >>  	at org.neuroml.export.utils.Utils$1.importFile(Utils.java:505)

      pyNeuroML >>>  jNeuroML >>  	at org.lemsml.jlems.viz.datadisplay.ControlPanel.initialise(ControlPanel.java:134)

      pyNeuroML >>>  jNeuroML >>  	at org.neuroml.export.utils.Utils.loadLemsFile(Utils.java:516)

      pyNeuroML >>>  jNeuroML >>  	at org.neuroml.export.utils.Utils.runLemsFile(Utils.java:493)

      pyNeuroML >>>  jNeuroML >>  	at org.neuroml.JNeuroML.main(JNeuroML.java:595)

      pyNeuroML >>>  jNeuroML >>  INFO Jun 17,2021 21:19  (INFO) Loading LEMS file from: /tmp/tmphwvzd66r.xml

      pyNeuroML >>>  jNeuroML >>  INFO Jun 17,2021 21:19  (INFO) Reading from: /tmp/tmphwvzd66r.xml

      pyNeuroML >>>  jNeuroML >>

sedml.SimulatorSupportsRepeatedTasksWithLinearUniformRanges (5.8 s)
Test that a simulator supports repeated tasks over uniform ranges
Reason for skip:
The image 'ghcr.io/biosimulators/biosimulators_pyneuroml/netpyne:<IP_ADDRESS>' could not execute the archive:

  Unknown error

Log:
Archive contains 1 SED-ML documents with 1 models, 1 simulations, 2 tasks, 2 reports, and 0 plots:

  simulation.sedml:

    Tasks (2):

      __repeated_task_0

      task

    Reports (2):

      __repeated_task_report: 5 data sets

      task_report: 5 data sets

Executing SED-ML file 0: simulation.sedml ...

Bundling outputs ...

Cleaning up ...

============= SUMMARY =============

Executed 1 SED documents:

  SED documents (1):

    Succeeded: 0

    Skipped: 0

    Failed: 1

  Tasks (2):

    Succeeded: 1

    Skipped: 0

    Failed: 1

  Outputs (2):

    Succeeded: 1

    Skipped: 1

    Failed: 0

The COMBINE/OMEX did not execute successfully:

  The SED document did not execute successfully:

    `pyNeuroML` was not able to execute `/tmp/tmpynpsfk9w.xml`:

      pyNeuroML >>> *** Problem running command:

      pyNeuroML >>>        Command 'java -Xmx5920M  -Djava.awt.headless=true -jar  "/opt/conda/envs/py39/lib/python3.9/site-packages/pyneuroml/lib/jNeuroML-0.10.3-jar-with-dependencies.jar"  "/tmp/tmp8frtcne6.xml"  -nogui -I ''' returned non-zero exit status 1.

      pyNeuroML >>>  jNeuroML >>   jNeuroML v0.10.3

      pyNeuroML >>>  jNeuroML >>  Loading: /tmp/tmp8frtcne6.xml with jLEMS, NO GUI mode...

      pyNeuroML >>>  jNeuroML >>  org.lemsml.jlems.core.sim.ContentError: Can't find file at path: NaConductance.channel.nml

      pyNeuroML >>>  jNeuroML >>  Search directories are: [/tmp/tmp3kofy1ez, /tmp, /tmp, /tmp/tmp3kofy1ez]

      pyNeuroML >>>  jNeuroML >>  Search paths in jar are: [/NeuroML2CoreTypes]

      pyNeuroML >>>  jNeuroML >>

      pyNeuroML >>>  jNeuroML >>  	at org.lemsml.jlems.io.reader.JarResourceInclusionReader.getRelativeContent(JarResourceInclusionReader.java:179)

      pyNeuroML >>>  jNeuroML >>  	at org.neuroml.export.utils.NeuroMLInclusionReader.getRelativeContent(NeuroMLInclusionReader.java:61)

      pyNeuroML >>>  jNeuroML >>  	at org.lemsml.jlems.core.sim.AbstractInclusionReader.getIncludeContent(AbstractInclusionReader.java:41)

      pyNeuroML >>>  jNeuroML >>  	at org.lemsml.jlems.core.sim.AbstractInclusionReader.insertIncludes(AbstractInclusionReader.java:71)

      pyNeuroML >>>  jNeuroML >>  	at org.neuroml.export.utils.NeuroMLInclusionReader.insertIncludes(NeuroMLInclusionReader.java:102)

      pyNeuroML >>>  jNeuroML >>  	at org.lemsml.jlems.core.sim.AbstractInclusionReader.read(AbstractInclusionReader.java:24)

      pyNeuroML >>>  jNeuroML >>  	at org.neuroml.export.utils.Utils.readLemsNeuroMLFile(Utils.java:259)

      pyNeuroML >>>  jNeuroML >>  	at org.neuroml.export.utils.Utils.readLemsNeuroMLFile(Utils.java:245)

      pyNeuroML >>>  jNeuroML >>  	at org.neuroml.export.utils.Utils$1.importFile(Utils.java:505)

      pyNeuroML >>>  jNeuroML >>  	at org.lemsml.jlems.viz.datadisplay.ControlPanel.initialise(ControlPanel.java:134)

      pyNeuroML >>>  jNeuroML >>  	at org.neuroml.export.utils.Utils.loadLemsFile(Utils.java:516)

      pyNeuroML >>>  jNeuroML >>  	at org.neuroml.export.utils.Utils.runLemsFile(Utils.java:493)

      pyNeuroML >>>  jNeuroML >>  	at org.neuroml.JNeuroML.main(JNeuroML.java:595)

      pyNeuroML >>>  jNeuroML >>  INFO Jun 17,2021 21:19  (INFO) Loading LEMS file from: /tmp/tmp8frtcne6.xml

      pyNeuroML >>>  jNeuroML >>  INFO Jun 17,2021 21:19  (INFO) Reading from: /tmp/tmp8frtcne6.xml

      pyNeuroML >>>  jNeuroML >>

sedml.SimulatorSupportsRepeatedTasksWithLogarithmicUniformRanges (5.8 s)
Test that a simulator supports repeated tasks over uniform ranges
Reason for skip:
The image 'ghcr.io/biosimulators/biosimulators_pyneuroml/netpyne:<IP_ADDRESS>' could not execute the archive:

  Unknown error

Log:
Archive contains 1 SED-ML documents with 1 models, 1 simulations, 2 tasks, 2 reports, and 0 plots:

  simulation.sedml:

    Tasks (2):

      __repeated_task_0

      task

    Reports (2):

      __repeated_task_report: 5 data sets

      task_report: 5 data sets

Executing SED-ML file 0: simulation.sedml ...

Bundling outputs ...

Cleaning up ...

============= SUMMARY =============

Executed 1 SED documents:

  SED documents (1):

    Succeeded: 0

    Skipped: 0

    Failed: 1

  Tasks (2):

    Succeeded: 1

    Skipped: 0

    Failed: 1

  Outputs (2):

    Succeeded: 1

    Skipped: 1

    Failed: 0

The COMBINE/OMEX did not execute successfully:

  The SED document did not execute successfully:

    `pyNeuroML` was not able to execute `/tmp/tmpiheu8np2.xml`:

      pyNeuroML >>> *** Problem running command:

      pyNeuroML >>>        Command 'java -Xmx5920M  -Djava.awt.headless=true -jar  "/opt/conda/envs/py39/lib/python3.9/site-packages/pyneuroml/lib/jNeuroML-0.10.3-jar-with-dependencies.jar"  "/tmp/tmphaggfze3.xml"  -nogui -I ''' returned non-zero exit status 1.

      pyNeuroML >>>  jNeuroML >>   jNeuroML v0.10.3

      pyNeuroML >>>  jNeuroML >>  Loading: /tmp/tmphaggfze3.xml with jLEMS, NO GUI mode...

      pyNeuroML >>>  jNeuroML >>  org.lemsml.jlems.core.sim.ContentError: Can't find file at path: NaConductance.channel.nml

      pyNeuroML >>>  jNeuroML >>  Search directories are: [/tmp/tmpsx6l2g4l, /tmp, /tmp, /tmp/tmpsx6l2g4l]

      pyNeuroML >>>  jNeuroML >>  Search paths in jar are: [/NeuroML2CoreTypes]

      pyNeuroML >>>  jNeuroML >>

      pyNeuroML >>>  jNeuroML >>  	at org.lemsml.jlems.io.reader.JarResourceInclusionReader.getRelativeContent(JarResourceInclusionReader.java:179)

      pyNeuroML >>>  jNeuroML >>  	at org.neuroml.export.utils.NeuroMLInclusionReader.getRelativeContent(NeuroMLInclusionReader.java:61)

      pyNeuroML >>>  jNeuroML >>  	at org.lemsml.jlems.core.sim.AbstractInclusionReader.getIncludeContent(AbstractInclusionReader.java:41)

      pyNeuroML >>>  jNeuroML >>  	at org.lemsml.jlems.core.sim.AbstractInclusionReader.insertIncludes(AbstractInclusionReader.java:71)

      pyNeuroML >>>  jNeuroML >>  	at org.neuroml.export.utils.NeuroMLInclusionReader.insertIncludes(NeuroMLInclusionReader.java:102)

      pyNeuroML >>>  jNeuroML >>  	at org.lemsml.jlems.core.sim.AbstractInclusionReader.read(AbstractInclusionReader.java:24)

      pyNeuroML >>>  jNeuroML >>  	at org.neuroml.export.utils.Utils.readLemsNeuroMLFile(Utils.java:259)

      pyNeuroML >>>  jNeuroML >>  	at org.neuroml.export.utils.Utils.readLemsNeuroMLFile(Utils.java:245)

      pyNeuroML >>>  jNeuroML >>  	at org.neuroml.export.utils.Utils$1.importFile(Utils.java:505)

      pyNeuroML >>>  jNeuroML >>  	at org.lemsml.jlems.viz.datadisplay.ControlPanel.initialise(ControlPanel.java:134)

      pyNeuroML >>>  jNeuroML >>  	at org.neuroml.export.utils.Utils.loadLemsFile(Utils.java:516)

      pyNeuroML >>>  jNeuroML >>  	at org.neuroml.export.utils.Utils.runLemsFile(Utils.java:493)

      pyNeuroML >>>  jNeuroML >>  	at org.neuroml.JNeuroML.main(JNeuroML.java:595)

      pyNeuroML >>>  jNeuroML >>  INFO Jun 17,2021 21:20  (INFO) Loading LEMS file from: /tmp/tmphaggfze3.xml

      pyNeuroML >>>  jNeuroML >>  INFO Jun 17,2021 21:20  (INFO) Reading from: /tmp/tmphaggfze3.xml

      pyNeuroML >>>  jNeuroML >>

sedml.SimulatorSupportsRepeatedTasksWithMultipleSubTasks (5.8 s)
Test that a simulator supports repeated tasks with multiple subtasks
Reason for skip:
The image 'ghcr.io/biosimulators/biosimulators_pyneuroml/netpyne:<IP_ADDRESS>' could not execute the archive:

  Unknown error

Log:
Archive contains 1 SED-ML documents with 1 models, 1 simulations, 2 tasks, 2 reports, and 0 plots:

  simulation.sedml:

    Tasks (2):

      __repeated_task_0

      task

    Reports (2):

      __repeated_task_report: 5 data sets

      task_report: 5 data sets

Executing SED-ML file 0: simulation.sedml ...

Bundling outputs ...

Cleaning up ...

============= SUMMARY =============

Executed 1 SED documents:

  SED documents (1):

    Succeeded: 0

    Skipped: 0

    Failed: 1

  Tasks (2):

    Succeeded: 1

    Skipped: 0

    Failed: 1

  Outputs (2):

    Succeeded: 1

    Skipped: 1

    Failed: 0

The COMBINE/OMEX did not execute successfully:

  The SED document did not execute successfully:

    `pyNeuroML` was not able to execute `/tmp/tmpmmfzv33z.xml`:

      pyNeuroML >>> *** Problem running command:

      pyNeuroML >>>        Command 'java -Xmx5921M  -Djava.awt.headless=true -jar  "/opt/conda/envs/py39/lib/python3.9/site-packages/pyneuroml/lib/jNeuroML-0.10.3-jar-with-dependencies.jar"  "/tmp/tmplzeonunc.xml"  -nogui -I ''' returned non-zero exit status 1.

      pyNeuroML >>>  jNeuroML >>   jNeuroML v0.10.3

      pyNeuroML >>>  jNeuroML >>  Loading: /tmp/tmplzeonunc.xml with jLEMS, NO GUI mode...

      pyNeuroML >>>  jNeuroML >>  org.lemsml.jlems.core.sim.ContentError: Can't find file at path: NaConductance.channel.nml

      pyNeuroML >>>  jNeuroML >>  Search directories are: [/tmp/tmpts03fugj, /tmp, /tmp, /tmp/tmpts03fugj]

      pyNeuroML >>>  jNeuroML >>  Search paths in jar are: [/NeuroML2CoreTypes]

      pyNeuroML >>>  jNeuroML >>

      pyNeuroML >>>  jNeuroML >>  	at org.lemsml.jlems.io.reader.JarResourceInclusionReader.getRelativeContent(JarResourceInclusionReader.java:179)

      pyNeuroML >>>  jNeuroML >>  	at org.neuroml.export.utils.NeuroMLInclusionReader.getRelativeContent(NeuroMLInclusionReader.java:61)

      pyNeuroML >>>  jNeuroML >>  	at org.lemsml.jlems.core.sim.AbstractInclusionReader.getIncludeContent(AbstractInclusionReader.java:41)

      pyNeuroML >>>  jNeuroML >>  	at org.lemsml.jlems.core.sim.AbstractInclusionReader.insertIncludes(AbstractInclusionReader.java:71)

      pyNeuroML >>>  jNeuroML >>  	at org.neuroml.export.utils.NeuroMLInclusionReader.insertIncludes(NeuroMLInclusionReader.java:102)

      pyNeuroML >>>  jNeuroML >>  	at org.lemsml.jlems.core.sim.AbstractInclusionReader.read(AbstractInclusionReader.java:24)

      pyNeuroML >>>  jNeuroML >>  	at org.neuroml.export.utils.Utils.readLemsNeuroMLFile(Utils.java:259)

      pyNeuroML >>>  jNeuroML >>  	at org.neuroml.export.utils.Utils.readLemsNeuroMLFile(Utils.java:245)

      pyNeuroML >>>  jNeuroML >>  	at org.neuroml.export.utils.Utils$1.importFile(Utils.java:505)

      pyNeuroML >>>  jNeuroML >>  	at org.lemsml.jlems.viz.datadisplay.ControlPanel.initialise(ControlPanel.java:134)

      pyNeuroML >>>  jNeuroML >>  	at org.neuroml.export.utils.Utils.loadLemsFile(Utils.java:516)

      pyNeuroML >>>  jNeuroML >>  	at org.neuroml.export.utils.Utils.runLemsFile(Utils.java:493)

      pyNeuroML >>>  jNeuroML >>  	at org.neuroml.JNeuroML.main(JNeuroML.java:595)

      pyNeuroML >>>  jNeuroML >>  INFO Jun 17,2021 21:20  (INFO) Loading LEMS file from: /tmp/tmplzeonunc.xml

      pyNeuroML >>>  jNeuroML >>  INFO Jun 17,2021 21:20  (INFO) Reading from: /tmp/tmplzeonunc.xml

      pyNeuroML >>>  jNeuroML >>

sedml.SimulatorSupportsRepeatedTasksWithNestedFunctionalRanges (5.7 s)
Test that a simulator supports repeated tasks over nested functional ranges based on model (specification) variables
Reason for skip:
The image 'ghcr.io/biosimulators/biosimulators_pyneuroml/netpyne:<IP_ADDRESS>' could not execute the archive:

  Unknown error

Log:
Archive contains 1 SED-ML documents with 1 models, 1 simulations, 2 tasks, 2 reports, and 0 plots:

  simulation.sedml:

    Tasks (2):

      __repeated_task_0

      task

    Reports (2):

      __repeated_task_report: 5 data sets

      task_report: 5 data sets

Executing SED-ML file 0: simulation.sedml ...

Bundling outputs ...

Cleaning up ...

============= SUMMARY =============

Executed 1 SED documents:

  SED documents (1):

    Succeeded: 0

    Skipped: 0

    Failed: 1

  Tasks (2):

    Succeeded: 1

    Skipped: 0

    Failed: 1

  Outputs (2):

    Succeeded: 1

    Skipped: 1

    Failed: 0

The COMBINE/OMEX did not execute successfully:

  The SED document did not execute successfully:

    `pyNeuroML` was not able to execute `/tmp/tmp3i2kseis.xml`:

      pyNeuroML >>> *** Problem running command:

      pyNeuroML >>>        Command 'java -Xmx5920M  -Djava.awt.headless=true -jar  "/opt/conda/envs/py39/lib/python3.9/site-packages/pyneuroml/lib/jNeuroML-0.10.3-jar-with-dependencies.jar"  "/tmp/tmpg4ijdrwt.xml"  -nogui -I ''' returned non-zero exit status 1.

      pyNeuroML >>>  jNeuroML >>   jNeuroML v0.10.3

      pyNeuroML >>>  jNeuroML >>  Loading: /tmp/tmpg4ijdrwt.xml with jLEMS, NO GUI mode...

      pyNeuroML >>>  jNeuroML >>  org.lemsml.jlems.core.sim.ContentError: Can't find file at path: NaConductance.channel.nml

      pyNeuroML >>>  jNeuroML >>  Search directories are: [/tmp/tmpoxt0ifhy, /tmp, /tmp, /tmp/tmpoxt0ifhy]

      pyNeuroML >>>  jNeuroML >>  Search paths in jar are: [/NeuroML2CoreTypes]

      pyNeuroML >>>  jNeuroML >>

      pyNeuroML >>>  jNeuroML >>  	at org.lemsml.jlems.io.reader.JarResourceInclusionReader.getRelativeContent(JarResourceInclusionReader.java:179)

      pyNeuroML >>>  jNeuroML >>  	at org.neuroml.export.utils.NeuroMLInclusionReader.getRelativeContent(NeuroMLInclusionReader.java:61)

      pyNeuroML >>>  jNeuroML >>  	at org.lemsml.jlems.core.sim.AbstractInclusionReader.getIncludeContent(AbstractInclusionReader.java:41)

      pyNeuroML >>>  jNeuroML >>  	at org.lemsml.jlems.core.sim.AbstractInclusionReader.insertIncludes(AbstractInclusionReader.java:71)

      pyNeuroML >>>  jNeuroML >>  	at org.neuroml.export.utils.NeuroMLInclusionReader.insertIncludes(NeuroMLInclusionReader.java:102)

      pyNeuroML >>>  jNeuroML >>  	at org.lemsml.jlems.core.sim.AbstractInclusionReader.read(AbstractInclusionReader.java:24)

      pyNeuroML >>>  jNeuroML >>  	at org.neuroml.export.utils.Utils.readLemsNeuroMLFile(Utils.java:259)

      pyNeuroML >>>  jNeuroML >>  	at org.neuroml.export.utils.Utils.readLemsNeuroMLFile(Utils.java:245)

      pyNeuroML >>>  jNeuroML >>  	at org.neuroml.export.utils.Utils$1.importFile(Utils.java:505)

      pyNeuroML >>>  jNeuroML >>  	at org.lemsml.jlems.viz.datadisplay.ControlPanel.initialise(ControlPanel.java:134)

      pyNeuroML >>>  jNeuroML >>  	at org.neuroml.export.utils.Utils.loadLemsFile(Utils.java:516)

      pyNeuroML >>>  jNeuroML >>  	at org.neuroml.export.utils.Utils.runLemsFile(Utils.java:493)

      pyNeuroML >>>  jNeuroML >>  	at org.neuroml.JNeuroML.main(JNeuroML.java:595)

      pyNeuroML >>>  jNeuroML >>  INFO Jun 17,2021 21:20  (INFO) Loading LEMS file from: /tmp/tmpg4ijdrwt.xml

      pyNeuroML >>>  jNeuroML >>  INFO Jun 17,2021 21:20  (INFO) Reading from: /tmp/tmpg4ijdrwt.xml

      pyNeuroML >>>  jNeuroML >>

sedml.SimulatorSupportsRepeatedTasksWithNestedRepeatedTasks (6.3 s)
Test that a simulator supports nested repeated tasks
Reason for skip:
The image 'ghcr.io/biosimulators/biosimulators_pyneuroml/netpyne:<IP_ADDRESS>' could not execute the archive:

  Unknown error

Log:
Archive contains 1 SED-ML documents with 1 models, 1 simulations, 3 tasks, 2 reports, and 0 plots:

  simulation.sedml:

    Tasks (3):

      __repeated_task_0

      __repeated_task_1

      task

    Reports (2):

      __repeated_task_report: 5 data sets

      task_report: 5 data sets

Executing SED-ML file 0: simulation.sedml ...

Bundling outputs ...

Cleaning up ...

============= SUMMARY =============

Executed 1 SED documents:

  SED documents (1):

    Succeeded: 0

    Skipped: 0

    Failed: 1

  Tasks (3):

    Succeeded: 1

    Skipped: 0

    Failed: 2

  Outputs (2):

    Succeeded: 1

    Skipped: 1

    Failed: 0

The COMBINE/OMEX did not execute successfully:

  The SED document did not execute successfully:

    `pyNeuroML` was not able to execute `/tmp/tmp69stuhg9.xml`:

      pyNeuroML >>> *** Problem running command:

      pyNeuroML >>>        Command 'java -Xmx5919M  -Djava.awt.headless=true -jar  "/opt/conda/envs/py39/lib/python3.9/site-packages/pyneuroml/lib/jNeuroML-0.10.3-jar-with-dependencies.jar"  "/tmp/tmplb8ljmwz.xml"  -nogui -I ''' returned non-zero exit status 1.

      pyNeuroML >>>  jNeuroML >>   jNeuroML v0.10.3

      pyNeuroML >>>  jNeuroML >>  Loading: /tmp/tmplb8ljmwz.xml with jLEMS, NO GUI mode...

      pyNeuroML >>>  jNeuroML >>  org.lemsml.jlems.core.sim.ContentError: Can't find file at path: NaConductance.channel.nml

      pyNeuroML >>>  jNeuroML >>  Search directories are: [/tmp/tmp0t1vnm1o, /tmp, /tmp, /tmp/tmp0t1vnm1o]

      pyNeuroML >>>  jNeuroML >>  Search paths in jar are: [/NeuroML2CoreTypes]

      pyNeuroML >>>  jNeuroML >>

      pyNeuroML >>>  jNeuroML >>  	at org.lemsml.jlems.io.reader.JarResourceInclusionReader.getRelativeContent(JarResourceInclusionReader.java:179)

      pyNeuroML >>>  jNeuroML >>  	at org.neuroml.export.utils.NeuroMLInclusionReader.getRelativeContent(NeuroMLInclusionReader.java:61)

      pyNeuroML >>>  jNeuroML >>  	at org.lemsml.jlems.core.sim.AbstractInclusionReader.getIncludeContent(AbstractInclusionReader.java:41)

      pyNeuroML >>>  jNeuroML >>  	at org.lemsml.jlems.core.sim.AbstractInclusionReader.insertIncludes(AbstractInclusionReader.java:71)

      pyNeuroML >>>  jNeuroML >>  	at org.neuroml.export.utils.NeuroMLInclusionReader.insertIncludes(NeuroMLInclusionReader.java:102)

      pyNeuroML >>>  jNeuroML >>  	at org.lemsml.jlems.core.sim.AbstractInclusionReader.read(AbstractInclusionReader.java:24)

      pyNeuroML >>>  jNeuroML >>  	at org.neuroml.export.utils.Utils.readLemsNeuroMLFile(Utils.java:259)

      pyNeuroML >>>  jNeuroML >>  	at org.neuroml.export.utils.Utils.readLemsNeuroMLFile(Utils.java:245)

      pyNeuroML >>>  jNeuroML >>  	at org.neuroml.export.utils.Utils$1.importFile(Utils.java:505)

      pyNeuroML >>>  jNeuroML >>  	at org.lemsml.jlems.viz.datadisplay.ControlPanel.initialise(ControlPanel.java:134)

      pyNeuroML >>>  jNeuroML >>  	at org.neuroml.export.utils.Utils.loadLemsFile(Utils.java:516)

      pyNeuroML >>>  jNeuroML >>  	at org.neuroml.export.utils.Utils.runLemsFile(Utils.java:493)

      pyNeuroML >>>  jNeuroML >>  	at org.neuroml.JNeuroML.main(JNeuroML.java:595)

      pyNeuroML >>>  jNeuroML >>  INFO Jun 17,2021 21:20  (INFO) Loading LEMS file from: /tmp/tmplb8ljmwz.xml

      pyNeuroML >>>  jNeuroML >>  INFO Jun 17,2021 21:20  (INFO) Reading from: /tmp/tmplb8ljmwz.xml

      pyNeuroML >>>  jNeuroML >>

    `pyNeuroML` was not able to execute `/tmp/tmpk9bp5o5j.xml`:

      pyNeuroML >>> *** Problem running command:

      pyNeuroML >>>        Command 'java -Xmx5920M  -Djava.awt.headless=true -jar  "/opt/conda/envs/py39/lib/python3.9/site-packages/pyneuroml/lib/jNeuroML-0.10.3-jar-with-dependencies.jar"  "/tmp/tmp7w1gr7jc.xml"  -nogui -I ''' returned non-zero exit status 1.

      pyNeuroML >>>  jNeuroML >>   jNeuroML v0.10.3

      pyNeuroML >>>  jNeuroML >>  Loading: /tmp/tmp7w1gr7jc.xml with jLEMS, NO GUI mode...

      pyNeuroML >>>  jNeuroML >>  org.lemsml.jlems.core.sim.ContentError: Can't find file at path: NaConductance.channel.nml

      pyNeuroML >>>  jNeuroML >>  Search directories are: [/tmp/tmp9ko2brr9, /tmp, /tmp, /tmp/tmp9ko2brr9]

      pyNeuroML >>>  jNeuroML >>  Search paths in jar are: [/NeuroML2CoreTypes]

      pyNeuroML >>>  jNeuroML >>

      pyNeuroML >>>  jNeuroML >>  	at org.lemsml.jlems.io.reader.JarResourceInclusionReader.getRelativeContent(JarResourceInclusionReader.java:179)

      pyNeuroML >>>  jNeuroML >>  	at org.neuroml.export.utils.NeuroMLInclusionReader.getRelativeContent(NeuroMLInclusionReader.java:61)

      pyNeuroML >>>  jNeuroML >>  	at org.lemsml.jlems.core.sim.AbstractInclusionReader.getIncludeContent(AbstractInclusionReader.java:41)

      pyNeuroML >>>  jNeuroML >>  	at org.lemsml.jlems.core.sim.AbstractInclusionReader.insertIncludes(AbstractInclusionReader.java:71)

      pyNeuroML >>>  jNeuroML >>  	at org.neuroml.export.utils.NeuroMLInclusionReader.insertIncludes(NeuroMLInclusionReader.java:102)

      pyNeuroML >>>  jNeuroML >>  	at org.lemsml.jlems.core.sim.AbstractInclusionReader.read(AbstractInclusionReader.java:24)

      pyNeuroML >>>  jNeuroML >>  	at org.neuroml.export.utils.Utils.readLemsNeuroMLFile(Utils.java:259)

      pyNeuroML >>>  jNeuroML >>  	at org.neuroml.export.utils.Utils.readLemsNeuroMLFile(Utils.java:245)

      pyNeuroML >>>  jNeuroML >>  	at org.neuroml.export.utils.Utils$1.importFile(Utils.java:505)

      pyNeuroML >>>  jNeuroML >>  	at org.lemsml.jlems.viz.datadisplay.ControlPanel.initialise(ControlPanel.java:134)

      pyNeuroML >>>  jNeuroML >>  	at org.neuroml.export.utils.Utils.loadLemsFile(Utils.java:516)

      pyNeuroML >>>  jNeuroML >>  	at org.neuroml.export.utils.Utils.runLemsFile(Utils.java:493)

      pyNeuroML >>>  jNeuroML >>  	at org.neuroml.JNeuroML.main(JNeuroML.java:595)

      pyNeuroML >>>  jNeuroML >>  INFO Jun 17,2021 21:20  (INFO) Loading LEMS file from: /tmp/tmp7w1gr7jc.xml

      pyNeuroML >>>  jNeuroML >>  INFO Jun 17,2021 21:20  (INFO) Reading from: /tmp/tmp7w1gr7jc.xml

      pyNeuroML >>>  jNeuroML >>

sedml.SimulatorSupportsRepeatedTasksWithSubTasksOfMixedTypes (6.4 s)
Test that a simulator supports repeated tasks whose sub-tasks have mixed types. Also tests that sub-types executed in order of the values of their order attributes and that reports of the results of repeated tasks handle sub-tasks to produce results of different shapes.
Reason for skip:
The image 'ghcr.io/biosimulators/biosimulators_pyneuroml/netpyne:<IP_ADDRESS>' could not execute the archive:

  Unknown error

Log:
Archive contains 1 SED-ML documents with 1 models, 1 simulations, 3 tasks, 2 reports, and 0 plots:

  simulation.sedml:

    Tasks (3):

      __repeated_task_0

      __repeated_task_1

      task

    Reports (2):

      __repeated_task_report: 5 data sets

      task_report: 5 data sets

Executing SED-ML file 0: simulation.sedml ...

Bundling outputs ...

Cleaning up ...

============= SUMMARY =============

Executed 1 SED documents:

  SED documents (1):

    Succeeded: 0

    Skipped: 0

    Failed: 1

  Tasks (3):

    Succeeded: 1

    Skipped: 0

    Failed: 2

  Outputs (2):

    Succeeded: 1

    Skipped: 1

    Failed: 0

The COMBINE/OMEX did not execute successfully:

  The SED document did not execute successfully:

    `pyNeuroML` was not able to execute `/tmp/tmp6guwb6_u.xml`:

      pyNeuroML >>> *** Problem running command:

      pyNeuroML >>>        Command 'java -Xmx5915M  -Djava.awt.headless=true -jar  "/opt/conda/envs/py39/lib/python3.9/site-packages/pyneuroml/lib/jNeuroML-0.10.3-jar-with-dependencies.jar"  "/tmp/tmp8vdout23.xml"  -nogui -I ''' returned non-zero exit status 1.

      pyNeuroML >>>  jNeuroML >>   jNeuroML v0.10.3

      pyNeuroML >>>  jNeuroML >>  Loading: /tmp/tmp8vdout23.xml with jLEMS, NO GUI mode...

      pyNeuroML >>>  jNeuroML >>  org.lemsml.jlems.core.sim.ContentError: Can't find file at path: NaConductance.channel.nml

      pyNeuroML >>>  jNeuroML >>  Search directories are: [/tmp/tmpnlo0xa80, /tmp, /tmp, /tmp/tmpnlo0xa80]

      pyNeuroML >>>  jNeuroML >>  Search paths in jar are: [/NeuroML2CoreTypes]

      pyNeuroML >>>  jNeuroML >>

      pyNeuroML >>>  jNeuroML >>  	at org.lemsml.jlems.io.reader.JarResourceInclusionReader.getRelativeContent(JarResourceInclusionReader.java:179)

      pyNeuroML >>>  jNeuroML >>  	at org.neuroml.export.utils.NeuroMLInclusionReader.getRelativeContent(NeuroMLInclusionReader.java:61)

      pyNeuroML >>>  jNeuroML >>  	at org.lemsml.jlems.core.sim.AbstractInclusionReader.getIncludeContent(AbstractInclusionReader.java:41)

      pyNeuroML >>>  jNeuroML >>  	at org.lemsml.jlems.core.sim.AbstractInclusionReader.insertIncludes(AbstractInclusionReader.java:71)

      pyNeuroML >>>  jNeuroML >>  	at org.neuroml.export.utils.NeuroMLInclusionReader.insertIncludes(NeuroMLInclusionReader.java:102)

      pyNeuroML >>>  jNeuroML >>  	at org.lemsml.jlems.core.sim.AbstractInclusionReader.read(AbstractInclusionReader.java:24)

      pyNeuroML >>>  jNeuroML >>  	at org.neuroml.export.utils.Utils.readLemsNeuroMLFile(Utils.java:259)

      pyNeuroML >>>  jNeuroML >>  	at org.neuroml.export.utils.Utils.readLemsNeuroMLFile(Utils.java:245)

      pyNeuroML >>>  jNeuroML >>  	at org.neuroml.export.utils.Utils$1.importFile(Utils.java:505)

      pyNeuroML >>>  jNeuroML >>  	at org.lemsml.jlems.viz.datadisplay.ControlPanel.initialise(ControlPanel.java:134)

      pyNeuroML >>>  jNeuroML >>  	at org.neuroml.export.utils.Utils.loadLemsFile(Utils.java:516)

      pyNeuroML >>>  jNeuroML >>  	at org.neuroml.export.utils.Utils.runLemsFile(Utils.java:493)

      pyNeuroML >>>  jNeuroML >>  	at org.neuroml.JNeuroML.main(JNeuroML.java:595)

      pyNeuroML >>>  jNeuroML >>  INFO Jun 17,2021 21:20  (INFO) Loading LEMS file from: /tmp/tmp8vdout23.xml

      pyNeuroML >>>  jNeuroML >>  INFO Jun 17,2021 21:20  (INFO) Reading from: /tmp/tmp8vdout23.xml

      pyNeuroML >>>  jNeuroML >>

    `pyNeuroML` was not able to execute `/tmp/tmpg2o0ebds.xml`:

      pyNeuroML >>> *** Problem running command:

      pyNeuroML >>>        Command 'java -Xmx5916M  -Djava.awt.headless=true -jar  "/opt/conda/envs/py39/lib/python3.9/site-packages/pyneuroml/lib/jNeuroML-0.10.3-jar-with-dependencies.jar"  "/tmp/tmp56avnlhu.xml"  -nogui -I ''' returned non-zero exit status 1.

      pyNeuroML >>>  jNeuroML >>   jNeuroML v0.10.3

      pyNeuroML >>>  jNeuroML >>  Loading: /tmp/tmp56avnlhu.xml with jLEMS, NO GUI mode...

      pyNeuroML >>>  jNeuroML >>  org.lemsml.jlems.core.sim.ContentError: Can't find file at path: NaConductance.channel.nml

      pyNeuroML >>>  jNeuroML >>  Search directories are: [/tmp/tmpz7lacqkj, /tmp, /tmp, /tmp/tmpz7lacqkj]

      pyNeuroML >>>  jNeuroML >>  Search paths in jar are: [/NeuroML2CoreTypes]

      pyNeuroML >>>  jNeuroML >>

      pyNeuroML >>>  jNeuroML >>  	at org.lemsml.jlems.io.reader.JarResourceInclusionReader.getRelativeContent(JarResourceInclusionReader.java:179)

      pyNeuroML >>>  jNeuroML >>  	at org.neuroml.export.utils.NeuroMLInclusionReader.getRelativeContent(NeuroMLInclusionReader.java:61)

      pyNeuroML >>>  jNeuroML >>  	at org.lemsml.jlems.core.sim.AbstractInclusionReader.getIncludeContent(AbstractInclusionReader.java:41)

      pyNeuroML >>>  jNeuroML >>  	at org.lemsml.jlems.core.sim.AbstractInclusionReader.insertIncludes(AbstractInclusionReader.java:71)

      pyNeuroML >>>  jNeuroML >>  	at org.neuroml.export.utils.NeuroMLInclusionReader.insertIncludes(NeuroMLInclusionReader.java:102)

      pyNeuroML >>>  jNeuroML >>  	at org.lemsml.jlems.core.sim.AbstractInclusionReader.read(AbstractInclusionReader.java:24)

      pyNeuroML >>>  jNeuroML >>  	at org.neuroml.export.utils.Utils.readLemsNeuroMLFile(Utils.java:259)

      pyNeuroML >>>  jNeuroML >>  	at org.neuroml.export.utils.Utils.readLemsNeuroMLFile(Utils.java:245)

      pyNeuroML >>>  jNeuroML >>  	at org.neuroml.export.utils.Utils$1.importFile(Utils.java:505)

      pyNeuroML >>>  jNeuroML >>  	at org.lemsml.jlems.viz.datadisplay.ControlPanel.initialise(ControlPanel.java:134)

      pyNeuroML >>>  jNeuroML >>  	at org.neuroml.export.utils.Utils.loadLemsFile(Utils.java:516)

      pyNeuroML >>>  jNeuroML >>  	at org.neuroml.export.utils.Utils.runLemsFile(Utils.java:493)

      pyNeuroML >>>  jNeuroML >>  	at org.neuroml.JNeuroML.main(JNeuroML.java:595)

      pyNeuroML >>>  jNeuroML >>  INFO Jun 17,2021 21:20  (INFO) Loading LEMS file from: /tmp/tmp56avnlhu.xml

      pyNeuroML >>>  jNeuroML >>  INFO Jun 17,2021 21:20  (INFO) Reading from: /tmp/tmp56avnlhu.xml

      pyNeuroML >>>  jNeuroML >>

sedml.SimulatorSupportsRepeatedTasksWithVectorRanges (5.8 s)
Test that a simulator supports repeated tasks over vector ranges
Reason for skip:
The image 'ghcr.io/biosimulators/biosimulators_pyneuroml/netpyne:<IP_ADDRESS>' could not execute the archive:

  Unknown error

Log:
Archive contains 1 SED-ML documents with 1 models, 1 simulations, 2 tasks, 2 reports, and 0 plots:

  simulation.sedml:

    Tasks (2):

      __repeated_task_0

      task

    Reports (2):

      __repeated_task_report: 5 data sets

      task_report: 5 data sets

Executing SED-ML file 0: simulation.sedml ...

Bundling outputs ...

Cleaning up ...

============= SUMMARY =============

Executed 1 SED documents:

  SED documents (1):

    Succeeded: 0

    Skipped: 0

    Failed: 1

  Tasks (2):

    Succeeded: 1

    Skipped: 0

    Failed: 1

  Outputs (2):

    Succeeded: 1

    Skipped: 1

    Failed: 0

The COMBINE/OMEX did not execute successfully:

  The SED document did not execute successfully:

    `pyNeuroML` was not able to execute `/tmp/tmp38fthbsu.xml`:

      pyNeuroML >>> *** Problem running command:

      pyNeuroML >>>        Command 'java -Xmx5915M  -Djava.awt.headless=true -jar  "/opt/conda/envs/py39/lib/python3.9/site-packages/pyneuroml/lib/jNeuroML-0.10.3-jar-with-dependencies.jar"  "/tmp/tmpup_9jhns.xml"  -nogui -I ''' returned non-zero exit status 1.

      pyNeuroML >>>  jNeuroML >>   jNeuroML v0.10.3

      pyNeuroML >>>  jNeuroML >>  Loading: /tmp/tmpup_9jhns.xml with jLEMS, NO GUI mode...

      pyNeuroML >>>  jNeuroML >>  org.lemsml.jlems.core.sim.ContentError: Can't find file at path: NaConductance.channel.nml

      pyNeuroML >>>  jNeuroML >>  Search directories are: [/tmp/tmpqtbmn1hw, /tmp, /tmp, /tmp/tmpqtbmn1hw]

      pyNeuroML >>>  jNeuroML >>  Search paths in jar are: [/NeuroML2CoreTypes]

      pyNeuroML >>>  jNeuroML >>

      pyNeuroML >>>  jNeuroML >>  	at org.lemsml.jlems.io.reader.JarResourceInclusionReader.getRelativeContent(JarResourceInclusionReader.java:179)

      pyNeuroML >>>  jNeuroML >>  	at org.neuroml.export.utils.NeuroMLInclusionReader.getRelativeContent(NeuroMLInclusionReader.java:61)

      pyNeuroML >>>  jNeuroML >>  	at org.lemsml.jlems.core.sim.AbstractInclusionReader.getIncludeContent(AbstractInclusionReader.java:41)

      pyNeuroML >>>  jNeuroML >>  	at org.lemsml.jlems.core.sim.AbstractInclusionReader.insertIncludes(AbstractInclusionReader.java:71)

      pyNeuroML >>>  jNeuroML >>  	at org.neuroml.export.utils.NeuroMLInclusionReader.insertIncludes(NeuroMLInclusionReader.java:102)

      pyNeuroML >>>  jNeuroML >>  	at org.lemsml.jlems.core.sim.AbstractInclusionReader.read(AbstractInclusionReader.java:24)

      pyNeuroML >>>  jNeuroML >>  	at org.neuroml.export.utils.Utils.readLemsNeuroMLFile(Utils.java:259)

      pyNeuroML >>>  jNeuroML >>  	at org.neuroml.export.utils.Utils.readLemsNeuroMLFile(Utils.java:245)

      pyNeuroML >>>  jNeuroML >>  	at org.neuroml.export.utils.Utils$1.importFile(Utils.java:505)

      pyNeuroML >>>  jNeuroML >>  	at org.lemsml.jlems.viz.datadisplay.ControlPanel.initialise(ControlPanel.java:134)

      pyNeuroML >>>  jNeuroML >>  	at org.neuroml.export.utils.Utils.loadLemsFile(Utils.java:516)

      pyNeuroML >>>  jNeuroML >>  	at org.neuroml.export.utils.Utils.runLemsFile(Utils.java:493)

      pyNeuroML >>>  jNeuroML >>  	at org.neuroml.JNeuroML.main(JNeuroML.java:595)

      pyNeuroML >>>  jNeuroML >>  INFO Jun 17,2021 21:20  (INFO) Loading LEMS file from: /tmp/tmpup_9jhns.xml

      pyNeuroML >>>  jNeuroML >>  INFO Jun 17,2021 21:20  (INFO) Reading from: /tmp/tmpup_9jhns.xml

      pyNeuroML >>>  jNeuroML >>

sedml.SimulatorSupportsSubstitutingAlgorithms (17.0 s)
Check that a simulator can substitute algorithms that it doesn't implement with similar algorithms when the algorithm substitution policy is less restrictive than :obj:AlgorithmSubstitutionPolicy.SAME_METHOD. Also check that a simulator ignores unsupported algorithm parameters when the algorithm substitution policy is less restrictive than :obj:AlgorithmSubstitutionPolicy.NONE.
Reason for skip:
The image 'ghcr.io/biosimulators/biosimulators_pyneuroml/netpyne:<IP_ADDRESS>' could not execute the archive:

  Unknown error

Log:
Archive contains 1 SED-ML documents with 1 models, 1 simulations, 1 tasks, 1 reports, and 0 plots:

  simulation.sedml:

    Tasks (1):

      task

    Reports (1):

      report: 5 data sets

Executing SED-ML file 0: simulation.sedml ...

Bundling outputs ...

Cleaning up ...

============= SUMMARY =============

Executed 1 SED documents:

  SED documents (1):

    Succeeded: 0

    Skipped: 0

    Failed: 1

  Tasks (1):

    Succeeded: 0

    Skipped: 0

    Failed: 1

  Outputs (1):

    Succeeded: 0

    Skipped: 1

    Failed: 0

The COMBINE/OMEX did not execute successfully:

  The SED document did not execute successfully:

    No algorithm can be substituted for 'LSODA' (KISAO_0000088) at substitution policy 'NONE'. Algorithms can only be substituted for the following algorithms:

      KISAO_0000019: CVODE

Archive contains 1 SED-ML documents with 1 models, 1 simulations, 1 tasks, 1 reports, and 0 plots:

  simulation.sedml:

    Tasks (1):

      task

    Reports (1):

      report: 5 data sets

Executing SED-ML file 0: simulation.sedml ...

Bundling outputs ...

Cleaning up ...

============= SUMMARY =============

Executed 1 SED documents:

  SED documents (1):

    Succeeded: 1

    Skipped: 0

    Failed: 0

  Tasks (1):

    Succeeded: 1

    Skipped: 0

    Failed: 0

  Outputs (1):

    Succeeded: 1

    Skipped: 0

    Failed: 0

Archive contains 1 SED-ML documents with 1 models, 1 simulations, 1 tasks, 1 reports, and 0 plots:

  simulation.sedml:

    Tasks (1):

      task

    Reports (1):

      report: 5 data sets

Executing SED-ML file 0: simulation.sedml ...

Bundling outputs ...

Cleaning up ...

============= SUMMARY =============

Executed 1 SED documents:

  SED documents (1):

    Succeeded: 0

    Skipped: 0

    Failed: 1

  Tasks (1):

    Succeeded: 0

    Skipped: 0

    Failed: 1

  Outputs (1):

    Succeeded: 0

    Skipped: 1

    Failed: 0

The COMBINE/OMEX did not execute successfully:

  The SED document did not execute successfully:

    Algorithm parameters are not supported.

Archive contains 1 SED-ML documents with 1 models, 1 simulations, 1 tasks, 1 reports, and 0 plots:

  simulation.sedml:

    Tasks (1):

      task

    Reports (1):

      report: 5 data sets

Executing SED-ML file 0: simulation.sedml ...

Bundling outputs ...

Cleaning up ...

============= SUMMARY =============

Executed 1 SED documents:

  SED documents (1):

    Succeeded: 0

    Skipped: 0

    Failed: 1

  Tasks (1):

    Succeeded: 0

    Skipped: 0

    Failed: 1

  Outputs (1):

    Succeeded: 0

    Skipped: 1

    Failed: 0

The COMBINE/OMEX did not execute successfully:

  The SED document did not execute successfully:

    Algorithm parameters are not supported.

sedml.SimulatorSupportsUniformTimeCoursesWithNonZeroInitialTimes (4.0 s)
Test that a simulator supports multiple time courses with non-zero initial times
Reason for skip:
The image 'ghcr.io/biosimulators/biosimulators_pyneuroml/netpyne:<IP_ADDRESS>' could not execute the archive:

  Unknown error

Log:
Archive contains 1 SED-ML documents with 1 models, 1 simulations, 1 tasks, 1 reports, and 0 plots:

  simulation.sedml:

    Tasks (1):

      task

    Reports (1):

      report: 5 data sets

Executing SED-ML file 0: simulation.sedml ...

Bundling outputs ...

Cleaning up ...

============= SUMMARY =============

Executed 1 SED documents:

  SED documents (1):

    Succeeded: 0

    Skipped: 0

    Failed: 1

  Tasks (1):

    Succeeded: 0

    Skipped: 0

    Failed: 1

  Outputs (1):

    Succeeded: 0

    Skipped: 1

    Failed: 0

The COMBINE/OMEX did not execute successfully:

  The SED document did not execute successfully:

    Initial time must be 0, not 5e-05

Warnings
cli.CliDescribesSupportedEnvironmentVariablesInline (4.6 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'

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 (1.5 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:
  - 'ALGORITHM_SUBSTITUTION_POLICY'

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 (0.3 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:

published_project.SimulatorCanExecutePublishedProject:neuroml-lems/Hodgkin-Huxley-cell-CVODE (10.1 s)
Required model formats and simulation algorithms for SED tasks:

Format: format_9004
Algorithm: KISAO_0000019

Warnings:
Unexpected reports were produced:
  simulation.sedml/plot

Log:
Archive contains 1 SED-ML documents with 1 models, 1 simulations, 1 tasks, 1 reports, and 1 plots:

  simulation.sedml:

    Tasks (1):

      task

    Reports (1):

      report: 5 data sets

    Plots (1):

      plot: 4 curves

Executing SED-ML file 0: simulation.sedml ...

Bundling outputs ...

Cleaning up ...

============= SUMMARY =============

Executed 1 SED documents:

  SED documents (1):

    Succeeded: 1

    Skipped: 0

    Failed: 0

  Tasks (1):

    Succeeded: 1

    Skipped: 0

    Failed: 0

  Outputs (2):

    Succeeded: 2

    Skipped: 0

    Failed: 0

The image for your simulator is valid!

Your submission was committed to the BioSimulators registry. Thank you!
Future submissions of subsequent versions of netpyne to the BioSimulators registry will be automatically validated. These submissions will not require manual review by the BioSimulators Team.


Build FAR with flags

Align FAR with other Medik8s operators with the use of hack/build.sh to build FAR operator with 5 fields on the build:

Golang Version
Golang OS/Arch
Operator's Version
Git Commit
Build Date

/lgtm
Giving a chance to get more feedbacks, feel free to unhold
/hold

/lgtm
/hold cancel


Fix custom tree view to allow getting all root children

Small fix here to properly implement https://github.com/microsoft/vscode/blob/master/src/vs/workbench/common/views.ts#L704 and allow passing in undefined to get all the root children nodes.

@alexr00 (or whoever looks at this) - for context this is something I'm fixing for Azure Data Studio (forked from VS Code). I'm not aware of this being necessary in VS Code itself, but the change itself seems logical to me regardless since currently it's incorrectly implementing the interface which is a bit confusing for users.
Here's how we're attempting to use the getChildren call currently :
https://github.com/microsoft/azuredatastudio/blob/main/src/sql/workbench/contrib/notebook/browser/notebookExplorer/notebookExplorerViewlet.ts#L268


”Vărăști” is listed in the drop-down menu

Description:
"Vărăști" is listed in the drop-down menu alongside its corresponding county and commune, according to the law.
Precondition:
The website is up an running.

Step 1
Type "Vărăști" in the search bar.

Expected results
The location is listed in the drop-down menu as "Comuna Vărăști, GIURGIU".


Add cocoa pods support

CMPopTipView is already in CocoaPods.

@i-schuetz You can find CMPopTipView here: https://cocoapods.org/pods/CMPopTipView. Closing


Build in container

Initial container build
TODO: modify Makefile to copy the artifacts out

Seperated the git install step as this would re-use the containers between routes-controller, gvisor-tap-vsock, etc.
it however does not copy the artifacts out yet.

Some explanations why we want to do this, who is the target for these container builds, ... would be nice.

@guillaumerose any suggestions about re-use between CI and local use?

No specific idea for a common base image. We can start with this!

machine-driver-libvirt (and some OpenShift modules) use CONTAINER_RUNTIME to specify podman/docker/... And podman is a better default 😝

hadn't seen this

better to use the Makefile as a new target?
$ make containerized

or so...

Can successfully run on GitLab CI: https://gitlab.com/gbraad/crc/-/jobs/1014092836


fetchMore has no support for fragments

I am trying to do fetchMore with fragments. But without any success
I tried next syntax but it is not supported
return fetchMore({
   query,
   fragments,
   variables: {
     cursor,
   },
   updateQuery,
});

Am I missing something?
Currently we are using same syntax in the graphql decorator but it is not supported in the fetchMore syntax

I created same issue in the apollo-client because I found that you are using just fetchMore from apollo-client

Thanks!


Display and provide UI for creation of Function-level comments.

Function objects can have comments. These however aren't shown in HLIL and there is no way to actually set a function comment via the UI.

Hey, i am a beginner at open source contributions. What am i supposed to work on?

This would be a great question for the discussions section: https://github.com/Vector35/binaryninja-api/discussions/new

This can now be accomplished by setting a function on the line with the function header in 2.4.2900-dev.


shall we put into separate folders the test cases imported from other DBs

As discussed with @sumittal,
it is likely that we will import test cases from multiple DBs and the test file name may conflict with each other.
And if other DBs have updates for their test cases, it is easier for us to recognize the file we need to change.

LGTM

Would something like this suffice? So simply a folder per DB per test-topic.
.
└── e2e_test/
    ├── batch/
    │   ├── aggregate/
    │   │   ├── risingwave
    │   │   ├── duckdb
    │   │   └── ...
    │   └── basic/
    │       └── ...
    ├── stream
    └── ...

Do we also need to put their LICENSE file?

Do we also need to put their LICENSE file?

Currently, we show the credits in the header of each test file:

Copied from https://github.com/duckdb/duckdb (MIT licensed).
Copyright 2018-2022 Stichting DuckDB Foundation

Is a LICENSE file needed? Open source masters, please help

Would something like this suffice? So simply a folder per DB per test-topic.
.
└── e2e_test/
    ├── batch/
    │   ├── aggregate/
    │   │   ├── risingwave
    │   │   ├── duckdb
    │   │   └── ...
    │   └── basic/
    │       └── ...
    ├── stream
    └── ...

slightly worried that the test cases from other DBs may be not all organized in this way, i.e. aggregate, join, ...
or we put it into a higher-level separate folder, i.e. moving all the existing RisingWave tests into a new huge folder risingwave, and create others duckdb, postgres, cockroach.....
but I have no strong opinion on this, and honestly I haven't checked a lot to verify whether it is really the case

The folder is reorganized already, but may add a NOTICE file in the future.


generate privacy policy template

What data about me are going to be collected?

Your general profile information like email address, name, surname, date of birth, main health conditions, long-term treatments and lifestyle.

Your participation into the studies and the times you complete a task.

(use the tasks to understand it, eg "answers to the FORM1 form", "steps from HealthKit (if you use an iPhone) or GoogleFit (if you use Android)")
Where are data going to be stored?
On your phone:

Your profile
Your participation activity into the studies and their tasks

On Mobistudy servers:

All the data mentioned before

Technical information about access to the server (eg logins) for security reasons

Who is going to access your data?
(for all institutions, specify what data access and the reason)
What are my rights?

You can withdraw from the study whenever you want. The data you have produced so far within a study will be kept.

You can remove your account from Mobistudy. This will remove all your data, produced in all the studies, except the technical logs (which need to be kept for security reasons, but will be deleted after 5 years).

You can download the data in a machine-readable format. Contact<EMAIL_ADDRESS>if you need to.

For any other general question, please contact one of the principal investigators:
(for each PI, print name and contact)

this should be just a function that takes the study description and spits out this text.
You can include it in a button (generate template) in the form, but the PP must be editable.


feat(version): update to latest stencil and animejs

Fix #1

I found there is a failure with jest test but at least now the component works again.

Updated PR to fix tests.


OpenSCENARIO Support - Improve support of ByValueConditions

Complete support for the ByEntityConditions for OpenSCENARIO

[ ] ParameterCondition
[x] TimeOfDayCondition (PR #551)
[x] SimulationTimeCondition
[ ] StoryboardElementStateCondition (partially supported)
[ ] UserDefinedValueCondition
[ ] TrafficSignalCondition
[ ] TrafficSignalControllerCondition

More information can be found here:
https://releases.asam.net/OpenSCENARIO/1.0.0/Model-Documentation/index.html

Added support for TimeOfDayCondition via PR #551


Missing Step - Authorize Public Flows

It has been neccesary to enable public flows on the app reg to get this working on multiple customers. The details were found on a random blog, but should be included here.
_____ QUOTE FROM BLOG _____
AADSTS7000218: The request body must contain the following parameter: ‘client_assertion’ or ‘client_secret’.
This was because Allow public client flows was disabled for the application registered in Azure AD.
Enabling it fixed the issues for us.
_____ END QUOTE _____

Document Details
⚠ Do not edit this section. It is required for docs.microsoft.com ➟ GitHub issue linking.

ID: e3402c27-86a5-02f6-da5e-c49a614b2e67
Version Independent ID: a574bc29-b33c-8eeb-ca04-983e6e08f7ea
Content: Create an LCS connection in Azure Pipelines - Finance & Operations | Dynamics 365
Content Source: articles/fin-ops-core/dev-itpro/dev-tools/pipeline-lcs-connection.md
Service: dynamics-365-cross-app
GitHub Login: @jorisdg
Microsoft Alias: jorisde

PR sent for review to add this step.


[WIP] Add Rollup stats package

This PR adds a new package to generate Rollup build stats for:

https://github.com/alphagov/govuk-frontend/issues/3281
https://github.com/alphagov/govuk-frontend/issues/3280

Changes also include:

Enable Rollup CLI --dir and --input overrides for all configs
Enables JSDoc type discovery for govuk-frontend in any workspace

@romaricpascal Pushed up a fairly awful design but shows what's possible 😊
https://govuk-frontend-pr-3681.herokuapp.com

Need to show the different total bundle sizes too

That list is starting to look neat! Nice one! 🙌🏻


Ability to visualise muted audio

In some circumstances, it is useful to visualise audio, but mute/set volume to 0 to not hear it at the same time. Please consider adding this feature or the ability to control the volume of the audio that is being visualised. I've tried to set the volume of the audio object I'm passing to "fromElement" but no luck - I can still hear myself (visualising my microphone input).

Hi, have you tried to call fromStream with { connectDestination: false } ?
navigator.mediaDevices.getUserMedia({
  audio: true,
}).then((stream) => {
    wave.fromStream(
        stream,
        "canvas-id",
        {
            type: "bars",
            connectDestination: false
        }
    );
);

using   connectDestination: false doesn't seem to work now

For the interested here's a way to accomplish that: https://github.com/foobar404/Wave.js/issues/67


fix agent building locally, in ci and on release

Description
This PR hotfixes agent building in CI, on release and locally
Related Issue
Fixes #N/A
Type of change

[X] Bug fix (non-breaking change which fixes an issue)
[ ] New feature (non-breaking change which adds functionality)
[ ] Other (security config, docs update, etc)

Checklist before merging

[X] Test, docs, adr added or updated as needed
[X] Contributor Guide Steps followed

Marking as ready for review, but wanted feedback on how to best handle the windows case.  As I see it there would be a few ways to do it:

Drop the if statement entirely and always build the local version of the agent
Run both the linux/mac and windows versions of the command not caring that garbage will be output to the terminal
Create a shim to convert if [ "agent:local" = "agent:local"]; then make build-agent-image; fi to if ( "agent:local" = "agent:local" ) { make build-agent-image }
Now that we have fancy cmd syntax in the scripts to actions PR, add an OS only filter to that

LGTM!


Fix auto versioning

Overview
This PR fixes the auto-versioning issues with setuptools_scm.

@John-Ragland Sorry for the delay on fixing the auto-versioning. This should help fix the autoversion stuff, and I tweaked your github workflow a little.

The CI seemed to have failed, but it looks like this is unrelated to the changes proposed here.


How to run tflite model(downloaded from mediapipe) with ARKit session captured image?

I have a tflite model handtracking and I want to run model using ARKit session captured image. It's showing source pixel format is invalid. I was able to run tflite model using AVCapture session:
// Not working with ARKit frame
func session(_ session: ARSession, didUpdate frame: ARFrame) {     handTracker.processVideoFrame(pixelBuffer) }
// Working fine with AVCapture session
func captureOutput(_ output: AVCaptureOutput, didOutput sampleBuffer: CMSampleBuffer, from connection: AVCaptureConnection) {     let pixelBuffer = CMSampleBufferGetImageBuffer(sampleBuffer)    handTracker.processVideoFrame(pixelBuffer) }

Can you please provide details as per the applicable template mentioned in the documentation?

if you get the right answer, pls.  share it with me,because I'm tring to find the way to user mediapeipe with ARKit, thanks!

if you get the right answer, pls. share it with me, because I'm tring to find the way to use mediapeipe with ARKit, thanks!

OK, if you find the way ,you can also share it with me ,thanks

Hello @frank-1992,
We are upgrading the MediaPipe Legacy Solutions to new MediaPipe solutions However, the libraries, documentation, and source code for all the MediapPipe Legacy Solutions will continue to be available in our GitHub repository and through library distribution services, such as Maven and NPM.
You can continue to use those legacy solutions in your applications if you choose. Though, we would request you to check new MediaPipe solutions which can help you more easily build and customize ML solutions for your applications. These new solutions will provide a superset of capabilities available in the legacy solutions. Thank you

if you get the right answer, pls. share it with me, because I'm tring to find the way to use mediapeipe with ARKit, thanks!

Hi,
Have you find out how to use mediapipe with ARKit? Are they compatible? This is crucial to me. Thanks for your help!

if you get the right answer, pls. share it with me, because I'm tring to find the way to use mediapeipe with ARKit, thanks!

OK, if you find the way ,you can also share it with me ,thanks

Hi,
Have you find out how to use mediapipe with ARKit? Are they compatible? This is crucial to me. Thanks for your help!


Add new icons needed for the FoW experiments and a status icon

Area
UI Components
The problem
There are several icons we need to add to the library. Some icons are needed to support the current selectables work in progress, others are required to support the 'physical' implementation of the design system as part of the FoW experiments.
The solution
Gender

Male
Female
Gender neutral
Disabled access / wheelchair user

Facilities

Restaurant/Food
Snack (e.g. a sweet, a chocolate, or an apple maybe)
Shop or store front
Hospital (or more generally medical/medicine)
First-aid kit

Status

We need a solid variant of the success icon, specifically for use with the checkbox and switch components

Alternatives and examples

https://storybook.saltdesignsystem.com/?path=/docs/documentation-icons-icon--page
https://github.com/jpmorganchase/salt-ds/tree/main/packages/icons/src/SVG

Are you a JPMorgan Chase & Co. employee?

[X] I am an employee of JPMorgan Chase & Co.

### Tasks
- [ ] https://github.com/jpmorganchase/salt-ds/issues/1339
- [ ] https://github.com/jpmorganchase/salt-ds/issues/1347

@pseys / @bhoppers2008 sharing the FoW Exploration icons for review. Please let me know if you have any changes. Thanks.

Review done, comments are being adressed

What's blocking this?

@joshwooding would it be possible to get these icons added this week? We've had a request from a dev team who need to use the cart icon and it'd be good to give them an ETA.

New icons ready to add (most have default and solid variants):

Accessible
Cart
Hospital
Medical kit
Man woman
Man
Pot food
Stethoscope
Storefront
Success
Universal access
Tote
Utensils
Woman
Woodland
Crops
Picnic
Github
Signpost
Marker
Map

@origami-z I don't suppose you'd be able to help with this would you?

Yes, i can do this today if no one else has started


Small Typo

“A cache sink also must the first sink written.” should be “A cache sink also must be the first sink written.”

Document Details
⚠ Do not edit this section. It is required for docs.microsoft.com ➟ GitHub issue linking.

ID: b52f7d74-8aac-9e9a-e13e-112eaf2e434b
Version Independent ID: 2e16d8b4-2081-f6d4-9879-5774e9fb1dd1
Content: Sink transformation in mapping data flow - Azure Data Factory
Content Source: articles/data-factory/data-flow-sink.md
Service: data-factory
GitHub Login: @kromerm
Microsoft Alias: makromer

Thanks for brining this to our attention. We will investigate it further and update you shortly.

@mo-ws -
Thanks again for bringing this to our attention. We have updated the Doc and it will be live once its merged.  We will now proceed to close this thread. If there are further questions regarding this matter, please tag me in your reply. We will gladly continue the discussion and we will reopen the issue.


Starting Debug from the status bar should use the current configuration

If the point of being able to start debugging from the status bar is that it is a shortcut, then why does it popup the configuration chooser menu?
Surely it should just start the debugger with the configuration that is displayed? Otherwise you end moving the mouse further than you would if you just opened the debug view...

@isidorn I thought this was by design and that the intention was to

Know which config is being used when pressing F5 to start debugging (or using the start debugging command from cmd pallet) without having to go to the debug viewlet
and to be able to change the debug configuration without going to the debug viewlet

@ramya-rao-a yes, closing by design


Show Hover effects on footer's Github and Home icons.

Is there an existing issue for this?

[X] I have searched the existing issues

Issue Description
There are no hover effects on footer's github and home icons.

Suggested Change
I will add hover effects that will give better looks.
Rationale
I will add CSS some scale to look good.
Urgency
Medium
Record

[X] I have read the Contributing Guidelines
[X] I'm a GSSOC'24 contributor
[X] I have starred the repository

#160

Since these are not implemented in #160, go ahead.


Atmos should warn if not on latest version

what

Emit a warning to STDERR that an out-of-date version of atmos is in use
Support a atmos.yaml configuration setting to specify a list acceptable semver ranges
Use the https://api.github.com/repos/cloudposse/atmos/releases API to determine the latest release satisfying semver ranges

why
Atmos is under active development. Bugs are constantly fixed. Older versions cause grief that could be avoided by upgrading.
example
versions:
- '~> 1.4'
- '! 1.4.2'

atmos version
1.4.1

atmos terraform plan...
WARNING: Latest version of atmos is 1.4.2; you're using atmos 1.4.1
...

updating to the latest version breaks all the scrolling on the site.

To be clear, I'm not talking about docusarus, but atmos itself should emit a dialog like this if there's a newer version available.

https://cloudposse.atlassian.net/browse/DEV-903


Add alt-text tags to Create Compliance Charts - Percentage page

Add alt-text tags to the Create Compliance Charts - Percentage page.
Page exists at: https://wildaid.github.io/charts/2020/06/12/Create-Compliance2.html
In the code at: _posts/build_charts/2020-06-12-Create-Compliance2.md
A brief guide to alt-text tags can be found in our style guide at https://wildaid.github.io/style/2020/10/02/Alt-Text.html

Hi @o-fish-wildaid , I have gone through the requirement and would like to work on it, please assign this to me, Thank you.

Hi there, you already have #72 assigned to you. Please complete that issue first and then we can see about assigning this to you, if nobody else wants it before then.

Hello @o-fish-wildaid !
I would like to work on this issue if you wouldn't mind assigning it to me.
Thanks!

Hello, thanks for offering to work on this! I have assigned it to you.

Hi! I am curious if the pull requests made will be valid for hacktoberfest, or if they must inclide a hacktoberfest-accepted tag?

Hi @gabrielhicks - The guidelines at https://hacktoberfest.digitalocean.com/details say:
"Your pull requests will count toward your participation if they are in a repository with the hacktoberfest topic and once they have been merged, approved by a maintainer or labelled as hacktoberfest-accepted."
This repo has the hacktoberfest topic, so once the pull request has been merged or approved, it will count towards your participation. The 'hacktoberfest-accepted' tag is not necessary, as this repo has the 'hacktoberfest' topic.
If you want to track your progress, you can login to your hacktoberfest profile page at https://hacktoberfest.digitalocean.com/profile
Here's what mine currently looks like:

The clock on the left and the "Mature in" at the right show that once the 14-day waiting period is over, my PRs will count towards hacktoberfest participation.
Here's the legend on the page:

So if you have any doubts or worries about ANY pull request - in this repo or any other - you can check your status.

Thank you!!!


I'd like to propose a website

Hi! May I propose my website ( https://loorjoal.netlify.app/ ) for your collection? I use it to show my personal/professional projects and I try to keep it simple but accessible. Thank you for your answer.

Hello there. It is a fascinating website you built there, but it is too large to join the 250kB Club, sorry.


How rtorrent starts at boot ?

Hello,
Thanks for this nice job.
I would like to start rtorrent with openvpn but i don't understand how rtorrent starts at boot.
There is not user-rtorrent.service. How did you do ?

crontab
@reboot sleep 10; /usr/local/bin/rtcheck irssi rtorrent

clever !
but i don't see this rule with contab -e

cat ><EMAIL_ADDRESS><< EOF
[Unit]
Description=rTorrent
After=network.target
[Service]
Type=forking
KillMode=none
User=%I
LimitNOFILE=infinity
ExecStartPre=-/bin/rm -f /home/%I/rtorrent/.sessions/rtorrent.lock
ExecStart=/usr/bin/screen -d -m -fa -S rtorrent /usr/bin/rtorrent
ExecStop=/usr/bin/screen -X -S rtorrent quit
WorkingDirectory=/home/%I/
[Install]
WantedBy=multi-user.target
EOF

systemctl enable rtorrent@USERNAME --now


Welcome post for Doaa

:+1::tada: First of all, thanks for taking the time to contribute! :tada::+1:
FOR CONTRIBUTOR

[ ] I have read the CONTRIBUTING.md document

PR Type:

[x] This PR adds a new blog post
[ ] This PR does something else (explain above)

FOR REVIEWERS
Thanks for taking the time to review! :heart:
Here are the list of things to make sure of:

[x] The website builds (a check will fail if not)
[x] All images have been added within the Pull Request and they have Alt text
[x] If there are paragraphs or text, the key messages are highlighted
[x] All internal links (within OLS website) use the {% link path_to_file.md %} format
[x] The preview corresponds to the changes described in the Pull Request
[x] The code is tidy and passes the linting tests

@doaamkader - Your welcome post is ready to be adored. ❤  Do let know if there's anything you'd like to change.
@iramosp - A content review would be appreciated. 🙏
@yochannah - Once we have two YES'es, would you please go through the checklist and approve for merging? 🌟
Thanks all!

@NPDebs looks great. One suggestion - I know @BatoolMM is credited as an author, but could we add a shout-out in-text in the English thanking her for her translation help too?
@BatoolMM Shukran!!! 🙏

Please go ahead and merge as soon as @doaamkader approvs.

@NPDebs has done all the work, wonderful post, thank you again!
@doaamkader, feel free to tweak or edit anything in the Arabic translation. Some terms can be tricky to translate, so please don’t hesitate to make any changes.
Congratulations again on joining OLS as a Resident Fellow! 🎉

@NPDebs  looks good, really appreciated. 🙏
@BatoolMM Thank you so much, I appreciate your effort in the translation ❤

Alright, beautiful people — let's go live with this baby! 😍 Thank you all for your contributions and kind comments. ❤

I’ve just checked the deployment, and I noticed that the text isn’t aligned correctly in RTL—it looked much better in the markdown. Also, some words seem to shift around because the formatting doesn’t handle mixed English and Arabic text well.

Would it be possible to use HTML tags here? For example:
<p style="direction: rtl; text-align: right;">
  اللغة العربية.
</p>


Lucheng

I would suggest adding who owns the comment as those is needed for displaying the owner

Also, remove google-services.json as this is a private key that is not supposed to be existed on the repo


set default_auto_field to silence django 3.2 warnings

https://docs.djangoproject.com/en/3.2/releases/3.2/#customizing-type-of-auto-created-primary-keys

Thank you for your contribution. Please note that for the time being, until a dedicated maintainer is added to this repository, that confirmation that changes work without breaking anything will be a requirement for me to merge PR's.


Typescript definitions

Are typescript definitions available?
Thanks

Hi. Only JS for now.
On Fri, Feb 22, 2019, 15:54 serenoandrea<EMAIL_ADDRESS>wrote:

Are typescript definitions available?
Thanks
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Channel ended, no reply will be forthcoming

Sometimes happen while integration testing.

Handle disconnection in Channel, nack all messages, wait until current operations finished.


stdcopy: remove logrus debug messages; makes it easier to vendor without the dependency.

- What I did
Removed logrus from stdcopy.
I think this is valuable for vendoring purposes; @ahmetalpbalkan and I both use this package in our own projects, but do not use logrus. If you agree that the log messages could either be presented in a different way, or could be safely removed without issue, I would like it if we could merge this patch.
- How I did it
With vim
- How to verify it
make test I suppose; I can't seem to get it to work here due to some DNS woes.
- Description for the changelog

stdcopy: remove logrus debug messages; makes it easier to vendor without the dependency.
- A picture of a cute animal (not mandatory but encouraged)
(-o-)
It's not a cute animal but do tie fighters count?

LGTM.
return 0, io.ErrShortWrite is not correct, it should return the amount written...

LGTM


Update tests relevant to postal code

Update some tests that I missed out previously

Coverage remained the same at 92.372% when pulling 357dd7786dad82c46526d55954ed5b03ac2d6e69 on khooroko:Update_tests into e7dd7073a5523aafb8e6bf561c9e43666d542b7e on CS2103AUG2017-T17-B1:master.

Coverage remained the same at 92.372% when pulling 60100beaf7715c7946899ac7964ad789c8b716df on khooroko:Update_tests into e7dd7073a5523aafb8e6bf561c9e43666d542b7e on CS2103AUG2017-T17-B1:master.

Coverage remained the same at 92.461% when pulling d962796ffeda8f5bb43f5ae2f99836d4226b27dc on khooroko:Update_tests into 892cb5d8043c2bea073a86f911d1fb9ba1b76d4e on CS2103AUG2017-T17-B1:master.


Project always starts in maximized window

Godot version: 3.2.1 stable
OS/device including version: Ubuntu 18.04.4, 2 monitors, main monitor 2560 x 1440, GTX 1060
driver 435.21
Issue description: The project window size setting settings and editor window placement setting are ignored. Whatever I set, the project window always start maximized (OS.window_maximized always true on startup). It holds both for exported project and project run from editor.  Maybe related to #36462 and #35571
Steps to reproduce: Set window width and height to smaller values than the resolution of the screen and run the project.

I can reprodduce this on commit 0d907a632 (Fedora 31, KDE, NVIDIA). I wonder if it might come from KWin overrides I may have applied to other processes accidentally though.

I am using Gnome Shell hence it most likely isn't connected with KWin overrides itself.

I think that everything could run as expected if OS.set_window_maximized(false) when starting the application and when not in fullscreen.

Not Linux specific AFAIK, as I get the same behavior on Windows 10 (1909)

I found out that it does not happen if the width and height from project settings is small compared to the resolution of the monitor. For instance on 2560 x 1440  monitor and project in 1920 x 1080 it starts maximized. If the project is set to 1024 x 600 (default) it does not happen

I'm not quite sold on that. I can reproduce on a UHD screen with any window size I've tested

In editor settings set run/window_placement to centered.

I'm puzzled by the (now a bit old) bug report, I don't recall seeing this behavior. Is this still reproducible as of current 3.4.4 or 3.5 RCs?
To be clear, you didn't enable this setting? Editor Settings / Run / Window Placement / Rect = Force Maximized

I just arrived here from a Google search because I'm experiencing the very same problem still.
Godot version: v3.5.stable.mono.official [991bb6ac7]
OS / system info: Arch Linux (updated today) using GNOME 42.4 on X11, main monitor 2560x1440, GTX 1070 using proprietary NVIDIA driver version 515.65.01
How to reproduce:

create a new project
add an empty default scene
adjust resolution in Project Settings -> Display -> Window -> Size -> Width/Height to 1920x1080
launch the project from the editor using the run button (F5)

In my case, the issue only appears when the resolution is reasonably large.
For instance, 1600x900 has the project launching in windowed mode just fine but 1920x1080 always has it starting maximized.
I can also confirm this issue takes place in both the editor and exported Linux binaries of the project.
To illustrate the point, here's what the behavior looks like on my system:
https://user-images.githubusercontent.com/111586614/185656684-bb69eab0-b983-437d-99d1-bc662cfeda96.mp4

I have the same issue. Editor always starts maximized no matter what I do. Godot version 3.4.3, 3.5.1, 4.0-beta3. Including versions compiled from source/master. Recently updated from Windows 10 to Windows 11 Pro Insider Preview Build 25231. 4k display.

Editor always starts maximized no matter what I do.

This is an unrelated issue. This is the editor's default behavior, and the CLI arguments being ignored for this case is a separate issue. See also https://github.com/godotengine/godot/pull/32056.


Add option for per shard or per instance charts

This PR add 3 new selectors to the per server dashboard:

Level: Cluster, Instance or shard
Instance: select which instance to present
Shard: select which shard present

This allows, for example to select one instance, and break it to its shards

@glommer I think this is in the direction of what you asked for.
I'm not happy with the Legend format in this PR, as they present the word "instance" or "shard" when one select the other options. I'm sure there is a better solution.

@tzach maybe I am doing something wrong, but I can't see any data when pointing to a live cluster.
It is working, because the "Total requests" query, which is not being modified, shows data just fine. But the rest of the queries don't really. I am using 1.7 btw - should that be a master only thing ?

@glommer retested with Scylla 1.7 AMI
Per node:

Per Shard of one node:

Tzach,
Apparently the 1.7 graph is converted, but 2017.1 isn't, and master also
isn't.
I am also writing a patch here, in the context of issue #190, and I am
having to change all three dashboards.
As I have said before, I strongly think that we should be auto-generating
those graphs instead of having multiple copies of the same thing.
On Mon, Jul 3, 2017 at 2:14 AM, Tzach Livyatan<EMAIL_ADDRESS>wrote:

Merged #184
https://github.com/scylladb/scylla-grafana-monitoring/pull/184.
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Apparently the 1.7 graph is converted, but 2017.1 isn't, and master also
isn't.

Yes. If you are good with 1.7 we can do teh same for 1.6,  2017.1 and the IO dashboard.

As I have said before, I strongly think that we should be auto-generating
those graphs instead of having multiple copies of the same thing.

Make sense. Some templating / auto-generating can be useful in theory. We will need to look and the PR to judge.
Few examples I found:
https://github.com/uber/grafana-dash-gen
https://github.com/jakubplichta/grafana-dashboard-builder

On Mon, Jul 3, 2017 at 2:46 PM, Tzach Livyatan<EMAIL_ADDRESS>wrote:

Apparently the 1.7 graph is converted, but 2017.1 isn't, and master also
isn't.
Yes. If you are good with 1.7 we can do teh same for 1.6, 2017.1 and the
IO dashboard.
As I have said before, I strongly think that we should be auto-generating
those graphs instead of having multiple copies of the same thing.
Make sense. Some templating / auto-generating can be useful in theory. We
will need to look and the PR to judge.
Few examples I found:
https://github.com/uber/grafana-dash-gen
https://github.com/jakubplichta/grafana-dashboard-builder

I'll try to do it myself if I have some time later this week. The second
link you sent looks interesting.

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Implement a 'forget bucket type' API endpoint (dev mode only)

Currently, Riak does not allow users to clear/remove Bucket Types in any way (via command-line or API).
The reasoning is understandable -- if a bucket type was to be removed from the cluster metadata, all of the buckets and keys that "live" under it would be orphaned, and would no longer be accessible.
However, this is also very annoying while in development mode (or when testing anything related to bucket types) -- bucket types get created, and then stay forever. (Unless you completely clear and re-build the cluster).
How difficult would it be to implement an API call to "forget"/remove a bucket type from cluster metadata, while in Dev mode?
This operation would have several levels of safeguards:

It would only be available in dev mode, as mentioned.
On the GUI-side, pressing the 'Forget Bucket Type' button would pop up a warning, saying "Performing this operation is going to orphan all of the data that belongs to this bucket type -- all the buckets and keys under it will become inaccessible."
Optionally, we can leverage our convenience devmode-only "Delete Bucket" method (that performs batch deletes of all the keys in a bucket's key list cache) to actually clear out all the data from a bucket type before erasing it from metadata.

I don't see a problem with utilizing the list buckets, then delete each bucket, then adding a bucket-type to an "ignore" or "tombstone" list that would just filter it from the results when listing types.

That's a great idea (the delete list). Although it would only affect people looking at the bucket type list through the Explorer interface, but hey, that's still a huge win.
I'll see if I can make sense of the Riak cluster metadata system that stores the bucket types. to see what's involved.


llvmPackages_{12,13,14,15,16,17,18,19,git}: commonify patches

Description of changes
Reduce the number of patches we have by finding duplicates. Modify getVersionFile in common/default.nix to branch to min/max version patches so we only have to keep 1 copy of a specific version of a patch.

Things done

Built on platform(s)

[ ] x86_64-linux
[ ] aarch64-linux
[ ] x86_64-darwin
[ ] aarch64-darwin

For non-Linux: Is sandboxing enabled in nix.conf? (See Nix manual)

[ ] sandbox = relaxed
[ ] sandbox = true

[ ] Tested, as applicable:

NixOS test(s) (look inside nixos/tests)
and/or package tests
or, for functions and "core" functionality, tests in lib/tests or pkgs/test
made sure NixOS tests are linked to the relevant packages

[ ] Tested compilation of all packages that depend on this change using nix-shell -p nixpkgs-review --run "nixpkgs-review rev HEAD". Note: all changes have to be committed, also see nixpkgs-review usage
[ ] Tested basic functionality of all binary files (usually in ./result/bin/)
24.11 Release Notes (or backporting 23.11 and 24.05 Release notes)

[ ] (Package updates) Added a release notes entry if the change is major or breaking
[ ] (Module updates) Added a release notes entry if the change is significant
[ ] (Module addition) Added a release notes entry if adding a new NixOS module

[x] Fits CONTRIBUTING.md.

Add a :+1: reaction to pull requests you find important.

Swift build failures can be ignored as they are happening on Hydra as well. It looks like it at least passes the patchPhase.

Collapsing the attrsets into single lines (if that's allowed by formatting rules) might help, by making it a bit denser.

Yeah, I originally did that but the formatter changed it.

Before we merge, I want to be able to reproduce and fix that CI error. However, I tried and couldn't get it to fail locally.

Well, by-name passed so we should be gtg now.


Update react to latest v16.x

Update react and all related packages to their latest versions. React 16 includes many improvements. There were only some minor changes needed to our source to support this version of react. In my limited testing everything appears to be working normally.

How about using classnames rather than ternary? https://github.com/JedWatson/classnames#usage
How about squashing the enzyme commit 7a97485 into a0c093a so that the tests pass on that commit?

rebased

rebased

Got this error:

This has been rebased and those issues should be resolved now

I'm facing the same issues as @Empact

Rebased and resolved the issues.

Getting the following console errors on start:

@JimmyMow I'm not able to reproduce your issue. Can you try yarn clean && yarn install && yarn dev please? Can you provide steps to reproduce?

@mrfelton clearing my ~/Library/Application Support/Electron works.
Tested ACK 798a23e
Can you rebase this? Then we can get it merged


Update Google Benchmark v1.5.0 to get CMake < 3.6 fix

Google Benchmark v1.4.1 uses a CMake feature that is only in version >=
3.6. This was an inadvertent change in Google Benchmark (too high of a
version) that has been fixed upstream in v1.5.0.
Google Benchmark v1.5.0 now requires CMake >= 3.5.1. Another PR
will bump gRPC's minimum version as well.
This PR supersedes https://github.com/grpc/grpc/pull/19466.

I just rebased atop master as of commit 73a3ff880438d024cc4650ac6586c0722ea3d4aa.

This PR is including many other PR's unexpectedly?

@AspirinSJL: not sure what happened. I just rebased again atop a914d1c421 and the GitHub display looks cleaner now.

Rebased atop 073b234308.
Is there anything else blocking this from getting reviewed and merged?

@jtattermusch Could you please take a look at this PR? It's >1 month old. Thanks!

Sorry for the delay. I think this PR is slightly problematic because cmake 3.5.1 is not available on all of our testing images (hence the failures) and the images will need to be updated first which requires some work (which I haven't gotten to yet).
Updating a submodule also requires updating a few more extra file (we have sanity checks in place), but updating those is relatively easy.

I made the other changes required for bumping the version. Let's see what the test say (I expect we'll still need to upgrade cmake in some of our testing images)

Thanks for fixing the other files. We picked CMake 3.5.1 as that's what's in Debian stable and Ubuntu
16.04 and 18.04. And, we picked benchmark 1.5.0 because it only needs >= CMake 3.5.1.

adhoc artifact / packages build: https://sponge.corp.google.com/invocation?id=ff0f1920-5ec4-435d-a4f7-1c10bfb7848c&searchFor=

Known failures:
https://github.com/grpc/grpc/issues/20095
https://github.com/grpc/grpc/issues/19170
https://github.com/grpc/grpc/issues/20075


Init callback option

I want to execute some script inside the container (something like service CLI). It is the common pattern for sample data, installing some additional extensions etc. I understand that resolve executes before the container starts.
Right now, we have:

resolve, up, reload, dev

I would imagine something like

resolve, init, up, reload, dev

Example:
"magento" {
  init {
    execShell("Install sampledata", "/usr/sbin/install-sampledata")
  }
}

IMO this is the purpose of up hook. And if such action should be done once you could write a lock file under /var/my-action to ensure after running that action. Next time simply check if that lock file exists. If yes, skip executing that init action.
FYI up hook is working in that way. GAP writes /var/gap/lock ;) after running whole up hook.


remove unused import that breaks the build for RN >= 0.60

Summary
Removes an unused import that caused the build to fail on RN >= 0.60
Fixes https://github.com/react-native-community/react-native-cameraroll/issues/147
Test Plan
N/A
Compatibility

OS
Implemented

iOS
✅

Android
✅

Checklist

[ ] I have tested this on a device and a simulator
[ ] I added the documentation in README.md
[ ] I updated the typed files (TS and Flow)
[ ] I added a sample use of the API in the example project (example/App.js)

Can we help to speed up the process of merging this?

:tada: This PR is included in version 1.5.0 :tada:
The release is available on:

npm package (@latest dist-tag)
GitHub release

Your semantic-release bot :package::rocket:


Ability to request system idle time

Description
It would be good if one of the items available through the API is the system OS idle time. This could then be used as presence detection.
Suggested Actions
Make one item in the API (perhaps in the OS section) the idle time in seconds.
Additional

one note of caution for windows idle time... some of the built-in functions have data types which will roll to zero after a long uptime on the system.  In Python I was able to get around this with:
def get_idle_duration():
    ticks = win32api.GetTickCount()
    # After fourty something days, GetTickCount will roll to a negative number
    if (ticks < 0):
        ticks += 2**32
    secs_idle = (ticks - win32api.GetLastInputInfo()) / 1000.0
    print(ticks, " - ", win32api.GetLastInputInfo(), " = ", secs_idle)
    return secs_idle

Do you know of a cross-platform library for nodejs?
I don't want to diverge too far between platforms. For example, if there is a solution that can get system data that works with all platforms, that would be preferred. Of course, there are some specific platform information that may be useful. The current solution for data is system information but there may be additional libraries or additions that could be added to that library

a few options:
https://github.com/bithavoc/node-desktop-idle (which I think is the same as
https://www.npmjs.com/package/desktop-idle)
https://github.com/anaisbetts/node-system-idle-time
https://www.electronjs.org/docs/api/power-monitor
not sure which one is best for this project.
On Fri, Jun 4, 2021 at 6:03 AM Aidan Timson @.***>
wrote:

Do you know of a cross-platform library for nodejs?
I don't want to diverge too far between platforms. For example, if there
is a solution that can get system data that works with all platforms, that
would be preferred. Of course, there are some specific platform information
that may be useful. The current solution for data is system information
https://systeminformation.io but there may be additional libraries or
additions that could be added to that library
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fantastic!