Fix broken link

Description
Follow-up to https://github.com/inmanta/inmanta-core/pull/7648. Fixes broken links that were always pointing to latest.
Self Check:
Strike through any lines that are not applicable (~~line~~) then check the box
- [ ] Attached issue to pull request

[x] Changelog entry
- [ ] Type annotations are present
- [ ] Code is clear and sufficiently documented
[x] No (preventable) type errors (check using make mypy or make mypy-diff)
- [ ] Sufficient test cases (reproduces the bug/tests the requested feature)
- [ ] Correct, in line with design
- [ ] End user documentation is included or an issue is created for end-user documentation (add ref to issue here: )
- [ ] If this PR fixes a race condition in the test suite, also push the fix to the relevant stable branche(s) (see test-fixes for more info)

Processing this pull request

Failed to merge changes into iso6 due to merge conflict. Please open a pull request for these branches separately by cherry-picking the commit that was made on the branch master (git cherry-pick 63bfa21375042d06520b3d661609b5e2ec552aee).

Merged into branches master in 63bfa21375042d06520b3d661609b5e2ec552aee

Not closing this pull request due to previously commented issues for some of the destination branches. Please open a separate pull request for those branches by cherry-picking the relevant commit. You can safely close this pull request and delete the source branch.

This branch was not deleted as it seems to still be in use.

Processing #7682.


Submit NetPyNE <IP_ADDRESS>

id: netpyne
version: <IP_ADDRESS>
specificationsUrl: https://raw.githubusercontent.com/biosimulators/Biosimulators_pyNeuroML/284f8c6b8e0fdd832a94057612715a587a06c14a/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 for 90 days here. The results of the validation of your tool will also be saved as a JSON file. A link to this file will be available for 90 days from the "Artifacts" section at the bottom of this page.

The specifications of your simulator is valid!

Summary of tests

Executed 72 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 42 test cases:

published_project.SimulatorCanExecutePublishedProject:bngl/Dolan-PLoS-Comput-Biol-2015-NHEJ
published_project.SimulatorCanExecutePublishedProject:bngl/test-bngl
published_project.SimulatorCanExecutePublishedProject:cellml/Elowitz-Nature-2000-Repressilator
published_project.SimulatorCanExecutePublishedProject:cellml/Lorenz-system
published_project.SimulatorCanExecutePublishedProject:mass/Bordbar-Cell-Syst-2015-RBC-metabolism
published_project.SimulatorCanExecutePublishedProject:neuroml-lems/Hodgkin-Huxley-cell-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-Fehlberg
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/Elowitz-Nature-2000-Repressilator
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:sbml-qual/Irons-J-Theor-Biol-2009-yeast-cell-cycle
published_project.SimulatorCanExecutePublishedProject:smoldyn/Lotka-Volterra
published_project.SimulatorCanExecutePublishedProject:xpp/Wu-Biochem-Pharmacol-2006-pituitary-GH3-cells
sedml.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

Warnings
cli.CliDescribesSupportedEnvironmentVariablesInline (5.2 s)
Test that the inline help for a command-line interface describes the environment variables that the simulator supports.
Warnings:
The inline help for a command-line interface for a simulation tool should describe the environment variables that the simulation tool supports.

The command-line interface does not describe the following standard environment variables recognized by BioSimulators:
  - 'ALGORITHM_SUBSTITUTION_POLICY'
  - 'BUNDLE_OUTPUTS'
  - 'H5_REPORTS_PATH'
  - 'KEEP_INDIVIDUAL_OUTPUTS'
  - 'LOG_PATH'
  - 'PLOTS_PATH'
  - 'REPORTS_PATH'
  - 'REPORT_FORMATS'
  - 'SAVE_PLOT_DATA'
  - 'VALIDATE_IMAGES'
  - 'VALIDATE_OMEX_MANIFESTS'
  - 'VALIDATE_OMEX_METADATA'
  - 'VALIDATE_SEDML'
  - 'VALIDATE_SEDML_MODELS'
  - 'VERBOSE'
  - 'VIZ_FORMATS'

If the simulation tool implements these variables, they should be described in the inline help for its command-line interface.

Note, support for these environment variables is optional. Simulation tools are not required to support these variables.

Log:

docker_image.DeclaresSupportedEnvironmentVariables (1.7 s)
Test if a Docker image declares the environment variables that is supports
Warnings:
Docker images for simulation tools should declare the environment variables that they support.

The Docker image does not declare the following standard environment variables recognized by BioSimulators:
  - 'ALGORITHM_SUBSTITUTION_POLICY'
  - 'BUNDLE_OUTPUTS'
  - 'H5_REPORTS_PATH'
  - 'KEEP_INDIVIDUAL_OUTPUTS'
  - 'LOG_PATH'
  - 'PLOTS_PATH'
  - 'REPORTS_PATH'
  - 'REPORT_FORMATS'
  - 'SAVE_PLOT_DATA'
  - 'VALIDATE_IMAGES'
  - 'VALIDATE_OMEX_MANIFESTS'
  - 'VALIDATE_OMEX_METADATA'
  - 'VALIDATE_SEDML'
  - 'VALIDATE_SEDML_MODELS'
  - 'VIZ_FORMATS'

If the simulation tool implements these variables, they should be declared in the Dockerfile for the Docker image for the simulator.

Note, support for these environment variables is optional. Simulation tools are not required to support these variables.

Log:

docker_image.HasBioContainersLabels (0.3 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 (13.1 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

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/Elowitz-Nature-2000-Repressilator (0.0 s)
Required model formats and simulation algorithms for SED tasks:

Format: format_3240
Algorithm: KISAO_0000019

Reason for skip:
Case requires model formats format_3240 and simulation algorithms KISAO_0000019

Log:

published_project.SimulatorCanExecutePublishedProject:cellml/Lorenz-system (0.0 s)
Required model formats and simulation algorithms for SED tasks:

Format: format_3240
Algorithm: KISAO_0000019

Reason for skip:
Case requires model formats format_3240 and simulation algorithms KISAO_0000019

Log:

published_project.SimulatorCanExecutePublishedProject:mass/Bordbar-Cell-Syst-2015-RBC-metabolism (0.0 s)
Required model formats and simulation algorithms for SED tasks:

Format: format_2585
Algorithm: KISAO_0000019

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

Log:

published_project.SimulatorCanExecutePublishedProject:neuroml-lems/Hodgkin-Huxley-cell-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-Fehlberg (0.0 s)
Required model formats and simulation algorithms for SED tasks:

Format: format_2585
Algorithm: KISAO_0000086

Reason for skip:
Case requires model formats format_2585 and simulation algorithms KISAO_0000086

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/Elowitz-Nature-2000-Repressilator (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/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:sbml-qual/Irons-J-Theor-Biol-2009-yeast-cell-cycle (0.0 s)
Required model formats and simulation algorithms for SED tasks:

Format: format_2585
Algorithm: KISAO_0000449

Reason for skip:
Case requires model formats format_2585 and simulation algorithms KISAO_0000449

Log:

published_project.SimulatorCanExecutePublishedProject:smoldyn/Lotka-Volterra (0.0 s)
Required model formats and simulation algorithms for SED tasks:

Format: format_9001
Algorithm: KISAO_0000057

Reason for skip:
Case requires model formats format_9001 and simulation algorithms KISAO_0000057

Log:

published_project.SimulatorCanExecutePublishedProject:xpp/Wu-Biochem-Pharmacol-2006-pituitary-GH3-cells (0.0 s)
Required model formats and simulation algorithms for SED tasks:

Format: format_9010
Algorithm: KISAO_0000019

Reason for skip:
Case requires model formats format_9010 and simulation algorithms KISAO_0000019

Log:

sedml.SimulatorProducesLinear3DPlots (0.9 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 (0.9 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 (0.9 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 (0.9 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 (0.9 s)
Test that a simulator supports compute model changes
Reason for skip:
'cython_function_or_method' object has no attribute 'rpartition'

Log:

sedml.SimulatorSupportsModelAttributeChanges (0.8 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 (0.9 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 (0.8 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 (9.7 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:
/opt/conda/envs/py39/lib/python3.9/site-packages/biosimulators_utils/warnings.py:31: BioSimulatorsWarning: The SED document is potentially incorrect.

  - Output `__repeated_task_report` may be invalid.

    - Some simulation tools will not be able to generate this output because it uses data from repeated tasks. Output for repeated tasks is an experimental feature of SED-ML, which is not officially supported.

  warnings.warn(termcolor.colored(message, Colors.warning.value), category)

/opt/conda/envs/py39/lib/python3.9/site-packages/biosimulators_utils/warnings.py:31: BioSimulatorsWarning: The COMBINE/OMEX archive may be invalid.

  - The SED-ML file at location `simulation.sedml` may be invalid.

    - Output `__repeated_task_report` may be invalid.

      - Some simulation tools will not be able to generate this output because it uses data from repeated tasks. Output for repeated tasks is an experimental feature of SED-ML, which is not officially supported.

  warnings.warn(termcolor.colored(message, Colors.warning.value), category)

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/tmp54u7s9e6.xml`:

      pyNeuroML >>> *** Problem running command:

      pyNeuroML >>>        Command 'java -Xmx5748M  -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/tmpu2fivnkk.xml"  -nogui -I ''' returned non-zero exit status 1.

      pyNeuroML >>>  jNeuroML >>   jNeuroML v0.10.3

      pyNeuroML >>>  jNeuroML >>  Loading: /tmp/tmpu2fivnkk.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/tmpqnn_g9pk, /tmp, /tmp, /tmp/tmpqnn_g9pk]

      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 Aug 19,2021 07:09  (INFO) Loading LEMS file from: /tmp/tmpu2fivnkk.xml

      pyNeuroML >>>  jNeuroML >>  INFO Aug 19,2021 07:09  (INFO) Reading from: /tmp/tmpu2fivnkk.xml

      pyNeuroML >>>  jNeuroML >>

sedml.SimulatorSupportsRepeatedTasksWithLinearUniformRanges (10.4 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:
/opt/conda/envs/py39/lib/python3.9/site-packages/biosimulators_utils/warnings.py:31: BioSimulatorsWarning: The SED document is potentially incorrect.

  - Output `__repeated_task_report` may be invalid.

    - Some simulation tools will not be able to generate this output because it uses data from repeated tasks. Output for repeated tasks is an experimental feature of SED-ML, which is not officially supported.

  warnings.warn(termcolor.colored(message, Colors.warning.value), category)

/opt/conda/envs/py39/lib/python3.9/site-packages/biosimulators_utils/warnings.py:31: BioSimulatorsWarning: The COMBINE/OMEX archive may be invalid.

  - The SED-ML file at location `simulation.sedml` may be invalid.

    - Output `__repeated_task_report` may be invalid.

      - Some simulation tools will not be able to generate this output because it uses data from repeated tasks. Output for repeated tasks is an experimental feature of SED-ML, which is not officially supported.

  warnings.warn(termcolor.colored(message, Colors.warning.value), category)

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/tmpkschcn_g.xml`:

      pyNeuroML >>> *** Problem running command:

      pyNeuroML >>>        Command 'java -Xmx5750M  -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/tmpi5rsn53w.xml"  -nogui -I ''' returned non-zero exit status 1.

      pyNeuroML >>>  jNeuroML >>   jNeuroML v0.10.3

      pyNeuroML >>>  jNeuroML >>  Loading: /tmp/tmpi5rsn53w.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/tmptd67s2gg, /tmp, /tmp, /tmp/tmptd67s2gg]

      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 Aug 19,2021 07:09  (INFO) Loading LEMS file from: /tmp/tmpi5rsn53w.xml

      pyNeuroML >>>  jNeuroML >>  INFO Aug 19,2021 07:09  (INFO) Reading from: /tmp/tmpi5rsn53w.xml

      pyNeuroML >>>  jNeuroML >>

sedml.SimulatorSupportsRepeatedTasksWithLogarithmicUniformRanges (10.7 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:
/opt/conda/envs/py39/lib/python3.9/site-packages/biosimulators_utils/warnings.py:31: BioSimulatorsWarning: The SED document is potentially incorrect.

  - Output `__repeated_task_report` may be invalid.

    - Some simulation tools will not be able to generate this output because it uses data from repeated tasks. Output for repeated tasks is an experimental feature of SED-ML, which is not officially supported.

  warnings.warn(termcolor.colored(message, Colors.warning.value), category)

/opt/conda/envs/py39/lib/python3.9/site-packages/biosimulators_utils/warnings.py:31: BioSimulatorsWarning: The COMBINE/OMEX archive may be invalid.

  - The SED-ML file at location `simulation.sedml` may be invalid.

    - Output `__repeated_task_report` may be invalid.

      - Some simulation tools will not be able to generate this output because it uses data from repeated tasks. Output for repeated tasks is an experimental feature of SED-ML, which is not officially supported.

  warnings.warn(termcolor.colored(message, Colors.warning.value), category)

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/tmpavu7_98t.xml`:

      pyNeuroML >>> *** Problem running command:

      pyNeuroML >>>        Command 'java -Xmx5750M  -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/tmpn2tvks7u.xml"  -nogui -I ''' returned non-zero exit status 1.

      pyNeuroML >>>  jNeuroML >>   jNeuroML v0.10.3

      pyNeuroML >>>  jNeuroML >>  Loading: /tmp/tmpn2tvks7u.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/tmpo763a4b9, /tmp, /tmp, /tmp/tmpo763a4b9]

      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 Aug 19,2021 07:09  (INFO) Loading LEMS file from: /tmp/tmpn2tvks7u.xml

      pyNeuroML >>>  jNeuroML >>  INFO Aug 19,2021 07:09  (INFO) Reading from: /tmp/tmpn2tvks7u.xml

      pyNeuroML >>>  jNeuroML >>

sedml.SimulatorSupportsRepeatedTasksWithMultipleSubTasks (9.9 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:
/opt/conda/envs/py39/lib/python3.9/site-packages/biosimulators_utils/warnings.py:31: BioSimulatorsWarning: The SED document is potentially incorrect.

  - Output `__repeated_task_report` may be invalid.

    - Some simulation tools will not be able to generate this output because it uses data from repeated tasks. Output for repeated tasks is an experimental feature of SED-ML, which is not officially supported.

  warnings.warn(termcolor.colored(message, Colors.warning.value), category)

/opt/conda/envs/py39/lib/python3.9/site-packages/biosimulators_utils/warnings.py:31: BioSimulatorsWarning: The COMBINE/OMEX archive may be invalid.

  - The SED-ML file at location `simulation.sedml` may be invalid.

    - Output `__repeated_task_report` may be invalid.

      - Some simulation tools will not be able to generate this output because it uses data from repeated tasks. Output for repeated tasks is an experimental feature of SED-ML, which is not officially supported.

  warnings.warn(termcolor.colored(message, Colors.warning.value), category)

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/tmpb273ciqn.xml`:

      pyNeuroML >>> *** Problem running command:

      pyNeuroML >>>        Command 'java -Xmx5754M  -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/tmpuhob675p.xml"  -nogui -I ''' returned non-zero exit status 1.

      pyNeuroML >>>  jNeuroML >>   jNeuroML v0.10.3

      pyNeuroML >>>  jNeuroML >>  Loading: /tmp/tmpuhob675p.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/tmpj2n8qqb9, /tmp, /tmp, /tmp/tmpj2n8qqb9]

      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 Aug 19,2021 07:09  (INFO) Loading LEMS file from: /tmp/tmpuhob675p.xml

      pyNeuroML >>>  jNeuroML >>  INFO Aug 19,2021 07:09  (INFO) Reading from: /tmp/tmpuhob675p.xml

      pyNeuroML >>>  jNeuroML >>

sedml.SimulatorSupportsRepeatedTasksWithNestedFunctionalRanges (9.5 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:
/opt/conda/envs/py39/lib/python3.9/site-packages/biosimulators_utils/warnings.py:31: BioSimulatorsWarning: The SED document is potentially incorrect.

  - Output `__repeated_task_report` may be invalid.

    - Some simulation tools will not be able to generate this output because it uses data from repeated tasks. Output for repeated tasks is an experimental feature of SED-ML, which is not officially supported.

  warnings.warn(termcolor.colored(message, Colors.warning.value), category)

/opt/conda/envs/py39/lib/python3.9/site-packages/biosimulators_utils/warnings.py:31: BioSimulatorsWarning: The COMBINE/OMEX archive may be invalid.

  - The SED-ML file at location `simulation.sedml` may be invalid.

    - Output `__repeated_task_report` may be invalid.

      - Some simulation tools will not be able to generate this output because it uses data from repeated tasks. Output for repeated tasks is an experimental feature of SED-ML, which is not officially supported.

  warnings.warn(termcolor.colored(message, Colors.warning.value), category)

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/tmpr1p9s2dk.xml`:

      pyNeuroML >>> *** Problem running command:

      pyNeuroML >>>        Command 'java -Xmx5753M  -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/tmpq78ot5dq.xml"  -nogui -I ''' returned non-zero exit status 1.

      pyNeuroML >>>  jNeuroML >>   jNeuroML v0.10.3

      pyNeuroML >>>  jNeuroML >>  Loading: /tmp/tmpq78ot5dq.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/tmp9gk3yvfa, /tmp, /tmp, /tmp/tmp9gk3yvfa]

      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 Aug 19,2021 07:09  (INFO) Loading LEMS file from: /tmp/tmpq78ot5dq.xml

      pyNeuroML >>>  jNeuroML >>  INFO Aug 19,2021 07:09  (INFO) Reading from: /tmp/tmpq78ot5dq.xml

      pyNeuroML >>>  jNeuroML >>

sedml.SimulatorSupportsRepeatedTasksWithNestedRepeatedTasks (10.2 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:
/opt/conda/envs/py39/lib/python3.9/site-packages/biosimulators_utils/warnings.py:31: BioSimulatorsWarning: The SED document is potentially incorrect.

  - Output `__repeated_task_report` may be invalid.

    - Some simulation tools will not be able to generate this output because it uses data from repeated tasks. Output for repeated tasks is an experimental feature of SED-ML, which is not officially supported.

  warnings.warn(termcolor.colored(message, Colors.warning.value), category)

/opt/conda/envs/py39/lib/python3.9/site-packages/biosimulators_utils/warnings.py:31: BioSimulatorsWarning: The COMBINE/OMEX archive may be invalid.

  - The SED-ML file at location `simulation.sedml` may be invalid.

    - Output `__repeated_task_report` may be invalid.

      - Some simulation tools will not be able to generate this output because it uses data from repeated tasks. Output for repeated tasks is an experimental feature of SED-ML, which is not officially supported.

  warnings.warn(termcolor.colored(message, Colors.warning.value), category)

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/tmp3c55jgi2.xml`:

      pyNeuroML >>> *** Problem running command:

      pyNeuroML >>>        Command 'java -Xmx5745M  -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/tmp31zda84g.xml"  -nogui -I ''' returned non-zero exit status 1.

      pyNeuroML >>>  jNeuroML >>   jNeuroML v0.10.3

      pyNeuroML >>>  jNeuroML >>  Loading: /tmp/tmp31zda84g.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/tmpsczzyapc, /tmp, /tmp, /tmp/tmpsczzyapc]

      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 Aug 19,2021 07:10  (INFO) Loading LEMS file from: /tmp/tmp31zda84g.xml

      pyNeuroML >>>  jNeuroML >>  INFO Aug 19,2021 07:10  (INFO) Reading from: /tmp/tmp31zda84g.xml

      pyNeuroML >>>  jNeuroML >>

    `pyNeuroML` was not able to execute `/tmp/tmpw1i7yu81.xml`:

      pyNeuroML >>> *** Problem running command:

      pyNeuroML >>>        Command 'java -Xmx5746M  -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/tmpuypazcxx.xml"  -nogui -I ''' returned non-zero exit status 1.

      pyNeuroML >>>  jNeuroML >>   jNeuroML v0.10.3

      pyNeuroML >>>  jNeuroML >>  Loading: /tmp/tmpuypazcxx.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/tmpxysbn_wk, /tmp, /tmp, /tmp/tmpxysbn_wk]

      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 Aug 19,2021 07:10  (INFO) Loading LEMS file from: /tmp/tmpuypazcxx.xml

      pyNeuroML >>>  jNeuroML >>  INFO Aug 19,2021 07:10  (INFO) Reading from: /tmp/tmpuypazcxx.xml

      pyNeuroML >>>  jNeuroML >>

sedml.SimulatorSupportsRepeatedTasksWithSubTasksOfMixedTypes (10.1 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:
/opt/conda/envs/py39/lib/python3.9/site-packages/biosimulators_utils/warnings.py:31: BioSimulatorsWarning: The SED document is potentially incorrect.

  - Task `__repeated_task_1` may be invalid.

    - The outputs of the sub-tasks have different shapes.

  - Output `__repeated_task_report` may be invalid.

    - Some simulation tools will not be able to generate this output because it uses data from repeated tasks. Output for repeated tasks is an experimental feature of SED-ML, which is not officially supported.

  warnings.warn(termcolor.colored(message, Colors.warning.value), category)

/opt/conda/envs/py39/lib/python3.9/site-packages/biosimulators_utils/warnings.py:31: BioSimulatorsWarning: The COMBINE/OMEX archive may be invalid.

  - The SED-ML file at location `simulation.sedml` may be invalid.

    - Task `__repeated_task_1` may be invalid.

      - The outputs of the sub-tasks have different shapes.

    - Output `__repeated_task_report` may be invalid.

      - Some simulation tools will not be able to generate this output because it uses data from repeated tasks. Output for repeated tasks is an experimental feature of SED-ML, which is not officially supported.

  warnings.warn(termcolor.colored(message, Colors.warning.value), category)

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/tmpc6r9723b.xml`:

      pyNeuroML >>> *** Problem running command:

      pyNeuroML >>>        Command 'java -Xmx5746M  -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/tmpzt8n6jte.xml"  -nogui -I ''' returned non-zero exit status 1.

      pyNeuroML >>>  jNeuroML >>   jNeuroML v0.10.3

      pyNeuroML >>>  jNeuroML >>  Loading: /tmp/tmpzt8n6jte.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/tmp_cg6ygk3, /tmp, /tmp, /tmp/tmp_cg6ygk3]

      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 Aug 19,2021 07:10  (INFO) Loading LEMS file from: /tmp/tmpzt8n6jte.xml

      pyNeuroML >>>  jNeuroML >>  INFO Aug 19,2021 07:10  (INFO) Reading from: /tmp/tmpzt8n6jte.xml

      pyNeuroML >>>  jNeuroML >>

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

      pyNeuroML >>> *** Problem running command:

      pyNeuroML >>>        Command 'java -Xmx5747M  -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/tmp4aliyj_c.xml"  -nogui -I ''' returned non-zero exit status 1.

      pyNeuroML >>>  jNeuroML >>   jNeuroML v0.10.3

      pyNeuroML >>>  jNeuroML >>  Loading: /tmp/tmp4aliyj_c.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/tmphc1au90m, /tmp, /tmp, /tmp/tmphc1au90m]

      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 Aug 19,2021 07:10  (INFO) Loading LEMS file from: /tmp/tmp4aliyj_c.xml

      pyNeuroML >>>  jNeuroML >>  INFO Aug 19,2021 07:10  (INFO) Reading from: /tmp/tmp4aliyj_c.xml

      pyNeuroML >>>  jNeuroML >>

sedml.SimulatorSupportsRepeatedTasksWithVectorRanges (9.5 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:
/opt/conda/envs/py39/lib/python3.9/site-packages/biosimulators_utils/warnings.py:31: BioSimulatorsWarning: The SED document is potentially incorrect.

  - Output `__repeated_task_report` may be invalid.

    - Some simulation tools will not be able to generate this output because it uses data from repeated tasks. Output for repeated tasks is an experimental feature of SED-ML, which is not officially supported.

  warnings.warn(termcolor.colored(message, Colors.warning.value), category)

/opt/conda/envs/py39/lib/python3.9/site-packages/biosimulators_utils/warnings.py:31: BioSimulatorsWarning: The COMBINE/OMEX archive may be invalid.

  - The SED-ML file at location `simulation.sedml` may be invalid.

    - Output `__repeated_task_report` may be invalid.

      - Some simulation tools will not be able to generate this output because it uses data from repeated tasks. Output for repeated tasks is an experimental feature of SED-ML, which is not officially supported.

  warnings.warn(termcolor.colored(message, Colors.warning.value), category)

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/tmpgdy7mr_9.xml`:

      pyNeuroML >>> *** Problem running command:

      pyNeuroML >>>        Command 'java -Xmx5748M  -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/tmp8sobebo8.xml"  -nogui -I ''' returned non-zero exit status 1.

      pyNeuroML >>>  jNeuroML >>   jNeuroML v0.10.3

      pyNeuroML >>>  jNeuroML >>  Loading: /tmp/tmp8sobebo8.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/tmpdjh75n5d, /tmp, /tmp, /tmp/tmpdjh75n5d]

      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 Aug 19,2021 07:10  (INFO) Loading LEMS file from: /tmp/tmp8sobebo8.xml

      pyNeuroML >>>  jNeuroML >>  INFO Aug 19,2021 07:10  (INFO) Reading from: /tmp/tmp8sobebo8.xml

      pyNeuroML >>>  jNeuroML >>

sedml.SimulatorSupportsSubstitutingAlgorithms (29.4 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  ...

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.


Support versions of node prior to 0.5.x

I added a conditional for "uv_default_loop()->ev" to support versions of node prior to 0.5.x.

This looks reasonable, and seems to work as expected.


Update powerplatformlicensingforcitizendeveloper.md

fixing the copy paste error from the presentation which is not appropriate  for this article.
Category

[x] Content fix
[ ] New article

Related issues:

mentioned in #13

What's in this Pull Request?
removing the one line that was targeted for a live audience
Guidance
None applicable (change as stated)

Docs Build status updates of commit 9693347:
:white_check_mark: Validation status: passed

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Details

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For more details, please refer to the build report.
Note: If you changed an existing file name or deleted a file, broken links in other files to the deleted or renamed file are listed only in the full build report.

@sympmarc , I made a quick cleanup PR ... I sure all will agree to limit levity when talking money ....

I will keep my branch open anticipating changes .... thanks all!


Add e2e tests for kubebench deployment and job running

we need a dummy benchmark job (can be derived from existing examples) that verifies the workflow
need to set up the testing workflow for e2e deployment

/assign @xyhuang

/priority p1


Add budget metering for the native token contract

What
Resolves https://github.com/stellar/rs-soroban-env/issues/476
This PR turns out to be mostly just some minor changes + a bunch of comments on why things are covered.

Most of the operations in the token library are just wrapping existing host functions/objects where metering is already accounted for.
The new types introduced in base_types.rs and public_types.rscontains just anObject` (u64), so cloning are basically free.
The transfer_account_balance and transfer_trustline_balance contain some arithmetics which are simple enough to skip metering for now but may be needed in the future (if they get complex)

Why
[TODO: Why this change is being made. Include any context required to understand the why.]
Known limitations
[TODO or N/A]

Couple small questions, but they are more targeting the broader methods we're using to measure and not specific to this PR, so I'm approving and merging, but would be interested in your response @jayz22.

Thanks @leighmcculloch. I've realized some of these budget charges are repetitive (and easy to be done in a not consistent way) and addressed it in this followup.


SR-12299: typo in SPM file [TSCBasic.OutputByteStream]

I've just been reading SPM code and tripped over a possible documentation error.  In TSCBasic.OutputByteStream.swift, lines 296-275, are there two uses of type-safe where thread-safe is intended?

Thanks!

@swift-ci smoke test


Customer feedback | az network bastion | Remove the redundant AAD login section

Describe the bug
This issue is being moved from MicrosoftDocs/azure-docs-cli issue #4397
AAD login is documented twice:

Page URL
https://learn.microsoft.com/en-us/cli/azure/network/bastion?view=azure-cli-latest
Content source URL
https://github.com/MicrosoftDocs/azure-docs-cli/blob/main/latest/docs-ref-autogen/network/bastion.yml
Related command
az network bastion
Errors
n/a
Issue script & Debug output
n/a
Expected behavior
n/a
Environment Summary
n/a
Additional context
n/a

Thank you for opening this issue, we will look into it.


[TIR] Output DeclBuffer in FlattenBuffer

If a flattened buffer is produced for use in BufferLoad and BufferStore statements, generate a DeclBuffer.  This PR updates the behavior for both TE-derived schedules (tir.StorageFlatten transform) and TIR-derived schedules (tir.FlattenBuffer transform).
This is a subset of the changes made in https://github.com/apache/tvm/pull/14778, broken out for ease of testing and review.

This is blocked on the ethos-u and ethos-m codegen, which does not currently support DeclBuffer nodes.


You can monitor Google Drive sheets if they go to the trash

⚠ Please verify that this bug has NOT been raised before.

[X] I checked and didn't find similar issue

🛡 Security Policy

[X] I agree to have read this project Security Policy

📝 Describe your problem
You can monitor with Uptime Kuma if Google Drive sheets go to the trash?
📝 Error Message(s) or Log
No response
🐻 Uptime-Kuma Version
1.23.3
💻 Operating System and Arch
Ubuntu 20.04.6 LTS
🌐 Browser
120.0.6099.130
🐋 Docker Version
No response
🟩 NodeJS Version
No response

Currently, this is not a supported monitor directly. I am going to hazard a guess that this might be better done via process changes instead of monitoring.
If google does offer an api, you can likely utilise it to monitor this.
I think the correct docs is here: https://developers.google.com/docs/api/reference/rest/v1/documents/get?hl=de

https://script.google.com/ this might also be interesting

https://script.google.com/ this might also be interesting


no age shaming

users of old browsers might not use browser extensions or know what they are doing. if you fill in the blank, i can make another PR or commit like:  chrome.runtime.onInstalled.addListener(function(installed){if(installed.reason=='install'){if 116 > Number(navigator.userAgent.match(new RegExp(Chrome|Firefox + '/([0-9]+)'))){alert("[Just to make sure:] Some of our features might require chrome version 116+.... _______________________") }    ( - or rather add it precisely, when that feature is first enabled as indicated by its button or storage change.)

Hey @ImprovedTube. If I recall when I was building this, the reason for that specific version is that some of the API's I used from the chrome object are only available in that version and further.


Documentation: remove links for admin.py, views.py, serializers.py?

@Evert-R , working on documenting the session and section app now. Looking at the beautiful documentation page, I notice that I personally don't think documentation of admin.py, views.py or serializers.py is that interesting for users who aren't developers (and I believe this is who we make the documentation for). Not saying that docstrings in these files shouldn't be improved, but I don't think we don't need to host them using mkdocs. What do you think?

After discussion, it seems it would be beneficial to still include the pages mentioned above in the documentation,


Adds an RFC6962-via-sunlight feeder

This PR adds support for witnessing RFC6962 logs by converting their Signed Tree Head structures into checkpoints using the sunlight RFC6962 STH signing algorithm.
This probably isn't super useful at the moment, but will become more-so with bastion support, and is a good PoC that the conversion works.
TODO: Needs transparency-dev/formats#99

Codecov Report
Attention: Patch coverage is 0% with 61 lines in your changes are missing coverage. Please review.

Project coverage is 36.72%. Comparing base (3c58af4) to head (1bb652d).
Report is 34 commits behind head on main.

Files
Patch %
Lines

internal/feeder/rfc6962/rfc6962_feeder.go
0.00%
59 Missing :warning:

omniwitness/omniwitness.go
0.00%
2 Missing :warning:

Additional details and impacted files
@@             Coverage Diff             @@
##             main     #182       +/-   ##
===========================================
- Coverage   51.05%   36.72%   -14.33%
===========================================
  Files          11       22       +11
  Lines         903     1209      +306
===========================================
- Hits          461      444       -17
- Misses        374      674      +300
- Partials       68       91       +23

:umbrella: View full report in Codecov by Sentry.
:loudspeaker: Have feedback on the report? Share it here.


Feat/apple framework

This contains the changes to app and the mock framework to use the ExposureNotification framework.
Note that you need the following entitlement to actually use the real framework, which must be manually given to you by Apple.
com.apple.developer.exposure-notification entitlement

@tatey With the newly-updated framework spec released by Apple today, there's now a risk level value that needs to be stored on the server. I've called this value l. The KeyServer.yaml file is updated accordingly.

Should the array of objects in deleted_keys also have the l property?

Should the array of objects in deleted_keys also have the l property? Otherwise I feel like you could reduce this done just to the d property. Either way, it would be inconsistent with keys and I can imagine that would make decoding harder since you'd either need to make them optional properties or you'd make a different struct.

FYI this has been done in https://github.com/tatey/trace_privately/commit/f7b84448a588c6c8adbb8360fa4e48f78230811f.

@HendX Dumb question, but how did you figure out about the entitlement? My attempts to activate an ENManager seem to give me this error:
getting ENManager: Error Domain=NSOSStatusErrorDomain Code=-71148 "kInvalidatedErr (XPC connection invalidated)" UserInfo={NSLocalizedDescription=kInvalidatedErr (XPC connection invalidated), cuErrorDesc=kInvalidatedErr (XPC connection invalidated), cuErrorMsg=XPC connection invalidated}

This contains the changes to app and the mock framework to use the ExposureNotification framework.
Note that you need the following entitlement to actually use the real framework, which must be manually given to you by Apple.
com.apple.developer.exposure-notification entitlement

What is a process to get this entitlement key from Apple?

What is a process to get this entitlement key from Apple?

Please refer to #57 for discussion on this.

@tatey Technically it could probably just be d, but I'm using r to differentiate between duplicated keys (this is helping me with testing). The l value is not needed.
The deleted_keys array is likely to be extremely small, since it's not for expired keys - just keys that were incorrectly approved - so I'm not worried about it blowing out in size.


Add Payara Micro and Payara Server adapter. fixes #60

Requires PR #61.

PR needs updating for the changes in https://github.com/MicroShed/microshed-testing/pull/61/commits/fe7fee5513c880d5b803d61bc8115cdd4ad0e222.
After #61 is merged, I'll update this one accordingly.

Used Optional for Payara Adapters


CLOUDSTACK-8908 After copying the template charging for that template is stopped

When a template is copied back to zone after it is deleted. deleted field gets reset to null. delete field is added to Search on template zone mapping table to take care of the existing mapping

@blueorangutan package

@rhtyd a Jenkins job has been kicked to build packages. I'll keep you posted as I make progress.

Packaging result: ✔centos6 ✔centos7 ✔debian. JID-1235

@blueorangutan package

@rhtyd a Jenkins job has been kicked to build packages. I'll keep you posted as I make progress.

Packaging result: ✔centos6 ✔centos7 ✔debian. JID-1326

@blueorangutan package

@rhtyd a Jenkins job has been kicked to build packages. I'll keep you posted as I make progress.

Packaging result: ✔centos6 ✔centos7 ✔debian. JID-1378

@blueorangutan test

@rhtyd a Trillian-Jenkins test job (centos7 mgmt + kvm-centos7) has been kicked to run smoke tests

Trillian test result (tid-1795)
Environment: kvm-centos7 (x2), Advanced Networking with Mgmt server 7
Total time taken: 23753 seconds
Marvin logs: https://github.com/blueorangutan/acs-prs/releases/download/trillian/pr2308-t1795-kvm-centos7.zip
Test completed. Failed tests results shown below:

Test
Result
Time (s)
Test File

test_01_vpc_privategw_acl
Failure
46.04
test_privategw_acl.py

test_02_vpc_privategw_static_routes
Failure
131.97
test_privategw_acl.py

test_03_vpc_privategw_restart_vpc_cleanup
Failure
96.75
test_privategw_acl.py

test_04_rvpc_privategw_static_routes
Failure
167.10
test_privategw_acl.py

test_02_create_template_with_checksum_sha1
Error
5.15
test_templates.py

test_03_create_template_with_checksum_sha256
Error
5.14
test_templates.py

test_04_create_template_with_checksum_md5
Error
5.16
test_templates.py

test_05_rvpc_multi_tiers
Failure
185.01
test_vpc_redundant.py

test_01_vpc_remote_access_vpn
Failure
45.55
test_vpc_vpn.py

Tests LGTM, merging based on test results.


Move windows build to appveyor

Build windows releases from appveyor because of native dependencies

Windows build kept on travis-ci for now as it supports windows VMs. Fixed in PR #69


Modified markup where necessary to achieve design.

This pull request addresses #8475
It requires a bedrock pull request https://github.com/concrete5/bedrock/pull/34

Thanks! I've left detailed feedback for the entire ticket in the bedrock pull request. Really good job! Just a few little things to finish up.


ORV2-1865 the real slim flags - REVIEW THIS ONE

Description

Implementing Feature Flags in the client and the API
Should be available in the client after the user authenticates themselves

Fixes # (issue)
Type of change
Please delete options that are not relevant.

[ ] Bug fix (non-breaking change which fixes an issue)
[ ] New feature (non-breaking change which adds functionality)
[ ] Breaking change (fix or feature that would cause existing functionality to not work as expected)
[ ] This change requires a documentation update

How Has This Been Tested?
Please describe the tests that you ran to verify your changes. Provide instructions so we can reproduce. Please also list any relevant details for your test configuration

[ ] Test A
[ ] Test B

Checklist

[ ] I have read the CONTRIBUTING doc
[ ] I have performed a self-review of my own code
[ ] I have commented my code, particularly in hard-to-understand areas
[ ] I have made corresponding changes to the documentation
[ ] My changes generate no new warnings
[ ] I have added tests that prove my fix is effective or that my feature works
[ ] New and existing unit tests pass locally with my changes
[ ] Any dependent changes have already been accepted and merged

Further comments

Thanks for the PR!
Deployments, as required, will be available below:

Frontend
Vehicles
Dops
TPS-Migration

Please create PRs in draft mode.  Mark as ready to enable:

Analysis Workflow

After merge, new images are promoted to:

Merge Workflow


Returned Intent at onActivityResult become null

private static final int TG_PASSPORT_RESULT = 352;

public void onActivityResult(final Activity activity, final int requestCode, final int resultCode, final Intent intent) {
      if (requestCode == TG_PASSPORT_RESULT) {
          if (resultCode == Activity.RESULT_CANCELED) {
            Log.e(E_CANCELLED, "Was cancelled");
          } else if (resultCode == Activity.RESULT_OK) {
            try {
              Uri uri = intent.getData();
              if (uri == null) {
                Log.e(E_NO_DATA_FOUND, "No data found");
              } else {
                Log.e('Success', uri.toString());
              }
            } catch (Exception e) {
              Log.e("TGG", e.toString());
            }
          }
      }
    }

public void initializePassport(int botID, String publicKey, String scope) {
    String scopeArray[] = scope.split("\\|");
    authRequest = new AuthRequest();
    authRequest.botID = botID;
    authRequest.publicKey = publicKey;
    authRequest.payload = payload;
    authRequest.scope = Arrays.asList(scopeArray); //Arrays.asList();
}

public void requestPassport() {
TelegramPassport.request(getCurrentActivity(), authRequest, TG_PASSPORT_RESULT);
}

    buildToolsVersion = "27.0.0"
    minSdkVersion = 16
    compileSdkVersion = 27
    targetSdkVersion = 27
    supportLibVersion = "27.0.0"

intent.getData() = null?

It is null because it is supposed to be. Please read the docs and examples.

Currently, the only meaningful parameter is resultCode, which is RESULT_OK if the authorization was successful and RESULT_CANCELED otherwise.

Haha, now only understand this sentence

BUT, If we cannot get any Data from Telegram , what is the USE OF IT ?

👎 ,so If we can't get data from telegram what is the use of it ?


Admin Router: Add small helpers for EE tests

High Level Description
Adds small improvements to shared test-harness code that is required by https://github.com/mesosphere/dcos-enterprise/pull/660
Related Issues

DCOS-14067 add tests for EE auth AR

Checklist for all PR's

[ ] Included a test which will fail if code is reverted but test is not. If there is no test please explain here:
[x] Read the DC/OS contributing guidelines
[x] Followed relevant code rules Rules for Packages and Systemd

Checklist for component/package updates:
If you are changing components or packages in DC/OS (e.g. you are bumping the sha or ref of anything underneath packages), then in addition to the above please also include:

[ ] Change log from the last version integrated (this should be a link to commits for easy verification and review): example
[ ] Test Results: [link to CI job test results for component]
[ ] Code Coverage (if available): [link to code coverage report]

@vespian this now contains also new assertion helpers from EE PR.


OAuth configuration

Prerequisites

[x ] Put an X between the brackets on this line if you have done all of the following:

Reproduced the problem.
Checked that your issue isn't already filed.
Filled the form.
Included logs and system information.

Description
I'm considering enabling oauth authentication for an application.  The instructions reference using openssl.  My question is simply 1) If anyone else has enabled oauth.  2) Should this image contain tools listed in the help document, such as openssl.
Versions
7.6.2
Logs And Environment Information
openssl genrsa -out jira_oauth_privatekey.pem 1024
bash: openssl: command not found

Can you explain on how to setup oauth? Is there the need that the Jira image itself must generate the certificate?

I still haven't fully got it configured with my application.  However, I did realize I could use openssl on any computer and copy the public/private keys to wherever I needed.  So I don't think it will be necessary in the package.


Add Footer to the Website

Overview:
We need to add a footer component to the DevCamper website to provide important information and links that will enhance navigation and improve the user experience. The footer should be visible on all pages and adapt to both desktop and mobile views.
Tasks:

Design and Layout:

Create a responsive footer design that works on both desktop and mobile screens.
Include links to essential pages such as:

Home
About Us
Contact Us
Privacy Policy
Terms of Service

Social Media Links:

Add social media icons with links to DevCamper’s social accounts (e.g., Facebook, Twitter, LinkedIn).
Ensure icons are accessible and visually appealing on different devices.

Copyright Information:

Include a section for copyright information (e.g., "© 2024 DevCamper. All Rights Reserved").

Quick Links Section:

Add a quick links section to provide shortcuts to frequently visited pages (e.g., Bootcamps, Reviews, Sign Up, Login).
This should be customizable for future updates.

Component Structure:

Create a reusable Footer component.
Place it in the appropriate directory (components/Footer).

Styling:

Use consistent styling that aligns with the overall website theme (colors, fonts, spacing).
Ensure proper spacing between sections and links for a clean, modern look.

Test Responsiveness:

Test the footer on multiple screen sizes (mobile, tablet, desktop) to ensure it’s fully responsive.
Ensure accessibility features like keyboard navigation and screen reader support.

Next Steps:
Once the footer is added, ensure it's consistent across all pages and properly integrated into the existing layout. Team members can review and suggest further improvements.
Additional Notes:

Consider future extensibility for additional links or content sections (e.g., newsletter sign-up).
Please share any suggestions for extra elements that should be included in the footer.

Sure. I will share the design with team members.

Hello Team,
Footer design is shared with Akanksha to implement in the project.
Thank you.


report assetic bug

@stof
when I go to
http://www.mysite.com/symfony/web/app.php/blah
and also to
http://www.mysite.com/symfony/web/app_dev.php/blah
everything works fine but if I move app_dev.php to
http://www.mysite.com/symfony/index.php/blah
(I renamed it to index.php too)
and also applying the correct include path for /app/bootstrap.php.cache and /app/autoload.php in this index.php, everything works fine and css is loaded too but css background image is pointed wrongly to:
http://www.mysite.com/bundles/appadmin/images/top_bg.jpg 404 (Not Found)
instead of
http://www.mysite.com/symfony/web/bundles/appadmin/images/top_bg.jpg
Have you ever tested/tried this?
and when I try this:
read_from: "%kernel.root_dir%/../../web"

it becomes
http://www.mysite.com/symfony/images/457076e.jpg
instead of
http://www.mysite.com/symfony/web/images/457076e.jpg
why doesn't it go to /web/ folder? (I delete cache too)
UPDATE:
it does not recognize this either:
    read_from: "%kernel.root_dir%/../../public_html/web"

if I don't want to move /web/bundles/, /web/images/, web/css to my root folder (e.g. /symfony/), this read_from should be more clever to recognize the target path.
even if I want to move assets to root folder with this:
    write_to: "%kernel.root_dir%/../../public_html"

it still install assets to /symfony/web/ rather than installing in /symfony/ root folder. but dumps in root as expected! why assets does not recognize new path of "write_to" in confing.yml when installing?
and also with this:
    read_from: "%kernel.root_dir%/../web"
    write_to:  "%assetic.read_from%"

I get:
  [Symfony\Component\DependencyInjection\Exception\ParameterNotFoundException]
  You have requested a non-existent parameter "assetic.read_from".

PS. Also I have to add that I am NOT using '@Bundle'.

please read "UPDATE" section above.

@stof please read "UPDATE" section above.

@nimasdj if your web root is the root of the project rather than the web folder (which might create issues btw), you should read from the root too. Otherwise, Assetic cannot guess that you have a mismatch between its config and your actual document root.

@stof
Do you mean I have to have /symphony/web/bundles, /symphony/web/images, /symphony/web/css directly in /symphony/ folder? I actually tried that too, but if I add:
write_to: "%kernel.root_dir%/../../public_html"

or
write_to: "%kernel.root_dir%/.."

then I run assets:install, it still generates 'bundles' in /symphony/web rather than in /symphony/.
Please advice.

No, what I mean is that you should have read_from set to "%kernel.root_dir%/.." and include the web/ part in your asset paths when referencing them if your document root is not the web folder but its parent

@stof I added:
 read_from:  "%kernel.root_dir%/.."

and also changed the assets too:
{% stylesheets 'web/bundles/applicationadmin/css/*' filter='cssrewrite' %}<link rel="stylesheet" href="{{ asset_url }}" type="text/css" />{% endstylesheets %}

then deleting cache to run assetic:dump /[root]/images/ and [root]/css are generated. css and images are loaded now. but the problem is that css background image is pointed to:
http://www.mysite.com/web/bundles/applicationadmin/css/images/top_bg.jpg 404 (Not Found)
rather than
http://www.mysite.com/symfony/web/bundles/applicationadmin/css/images/top_bg.jpg 404 (Not Found)
path in /web/bundles/appbundles/css/style.css is relative and is '../images/blah.jpg'

what else to do solve this css background image?
how to keep /images/ and /css/ being dump in /web/ folder yet rather than root?
Please help.

@stof please read update section above.

@stof I think there is another issue (probably a bug?) too:
with doing this all, the only problem is css background images as I said above, but the doctrine query runs as expected and I see query result on page. but the profiler/debugger shows the number of queries as 0. why? why moving app_dev.php from /web/ folder to parent folder should affect profiler too? (I deleted the cache.)

@stof Any advice yet? If this is not confirmed as a bug, please advice. I am stuck.

Have the same issue.
I created test bundle - "StyleTestBundle", than added to Resources\public\css file test.css.
.test {
height: 400px;
border: 1px solid black;
background-image: url(img/test.png);
}
in css folder i created img folder and added file test.png.
resources
--public
---css
--img
--test.png
--test.css
in template:
{% stylesheets
'bundles/styletest/css/*' filter='cssrewrite' %}

{% endstylesheets %}
After that i use assetic:install. My project root named symfony. In folder symfony/web i get subfolder
bundles/styletest/css/ with test.css file and
bundles/styletest/css/img with test.ong file.
When i run /symfony/app_dev.php it works correctly. But if i use prod link - /symfony - the background image (test.png) is not display.
Both image links in css files for prod and dev are the same.
../../bundles/styletest/css/img/test.png
But referers are different.
http://localhost/symfony/css/e9c43d1.css - for prod
http://localhost/symfony/app_dev.php/css/e9c43d1_1.css - for dev
And final links for image are different for prod and dev.
http://localhost/bundles/kendoui/css/img/test.png - for prod ( 404 not found)
http://localhost/symfony/bundles/kendoui/css/img/test.png - for dev (it works)


Version Bump: spring-beans-5.2.19 -> spring-beans-5.2.20

Signed-off-by: penghuo<EMAIL_ADDRESS>Issues Resolved

https://github.com/opensearch-project/sql/issues/525
Related to https://github.com/opensearch-project/OpenSearch/issues/2699

Check List

[ ] New functionality includes testing.

[ ] All tests pass, including unit test, integration test and doctest

[ ] New functionality has been documented.

[ ] New functionality has javadoc added
[ ] New functionality has user manual doc added

[x] Commits are signed per the DCO using --signoff

By submitting this pull request, I confirm that my contribution is made under the terms of the Apache 2.0 license.
For more information on following Developer Certificate of Origin and signing off your commits, please check here.

Thanks for the fix! Do we need to bump 'spring-test' just in case?

Sure.


How can I evaluate voc?

how can i evaluate voc?thanks

Current repo don't contains train and evaluation codes for VOC.


AutoEnroll feature tests

Description
Includes suite tests for #877
Should be rebased on master when #877 is closed because this is based on it.

/rebase

/merge


Invalid data

The JSON data for some countries invalid
for example, the country code of Ethiopia is 251 but in the data, it is 231

Hi, @TadesseAngaw  thanks for pointing that out.
I think you are mixing the country calling code (251) and the country iso 3166 numeric code (231). In this library, country code is refers to the iso 3166 numeric code for country.
Refer to iso 3166 code for Ethiopia, List of all iso 3166 codes their Definitions
Hope this clarifies any doubts. I will update the documentation to make this clearer.
By the way, are you interested in getting the calling codes? This is envisaged in future releases see features list

Thank you. Closing the issue now.


[Library Manager] Becoming manager of Keypad Library

My name is Mark Stanley and I'm one of the authors of the Keypad Library. Can you kindly (re)point the Library Manager to https://github.com/Nullkraft/Keypad
Justification below this point
It's kind of a long story but Chris--A established the link (issue arduino/Arduino#3507) between his repo and the LM. I've tried contacting him several times but he never got back to me and there's been no activity on his github in several years. There's an issue that needs an update, https://github.com/Nullkraft/Keypad/issues/12, that I would like to make happen.
I pushed the latest changes to my repo and tagged it v3.2.0 while also updating library.properties

Hi @Nullkraft and @Chris--A. Would you mind giving us an update regarding the status of this request?

Hello per1234.
This is never going to change.  It is dead.   Chris--A found the Keypad library and just assumed that a mature library was being neglected.  So he took the opportunity to become maintainer by enrolling himself as the admin on the new library manager before you guys instituted this current policy of blocking changes.  After returning from my overseas duty station Chris--A was no longer reachable.  He, in fact, became the neglector of the Keypad Library.  I google stalked him and found several other emails but he responds to none of them.  I found a live website of his but he does not respond to any messages I've sent through his webform.
So thanks to your new policy someone was able to take control away from the original author, me.  But because he is deceased you've made it impossible for me to take it back.      None of the recent changes to the library will ever be applied and people will have to find my github page, if they can, and manually apply the library.  I'm sure that sometime in the near future you will be implementing a library feature that prevents loading libraries from UNTRUSTED sources and that will be that.
You and I had a good run together but as there is nothing more important than your god given policies which have been carved in stone then I am done.  If you want to burn this bridge then that's on you guys.
I have tried for years to get this fixed.  And since he has NEVER responded to any of your or my communications Chris--A is just a figment of your imagination.  I, on the other hand, provably exist.
So you tell me;  What is the status of this request?
Best regards,
Mark Stanley

P.S.  Choosing another name besides Keypad won't work.  I have always included my email in the source code so people could get hold of me.  Moving to another name will just add confusion as to why I have my name on two different keypad drivers.  People will ask for changes to the original library that I can't touch.  Users will have to search outside the library manager to find out which of the two is the correct library.
But I'll make you a deal.

Thanks for taking the time to provide an update, and for your valuable contributions to the Arduino project @Nullkraft.
As mentioned above, library names are claimed on a "first come" basis. This is the only sensible policy, and must be applied consistently. This has always been the policy. I'm apologize if my previous comments caused confusion in this respect.
There are over 4600 libraries in the index, and more being added every day. Arduino has invested a lot of resources to setting up a library distribution system which is open to everyone, user friendly, efficient, and reliable. We can not be expected to take on the additional responsibility of arbitrating disputes over names.
In the interest of keeping an extremely active repository tidy and user friendly, I'll go ahead and close this now, but it can continue to serve as a communication channel between you and @Chris--A regardless. I will happy to reopen it as needed in the furture.
I will ask that all participants maintain civility in any further discussion. There are some strong feelings regarding this subject, but impolite behavior is counterproductive.
Regards, Per


Fix for stats variable, if .stats[browser.id] is not exist

Hi @cvle, are you still interested in this package? Otherwise it might be a good idea to transfer the repo and the npm package to cssinjs repo?

@kof I do actually, I'm currently updating all my neglected open source projects.. BUT I think it is a good idea to contribute this package to the cssinjs repo, what do you think?

yeah, it fits well

Was my fault, some data not exist in caniuse-db, because of non-last version. Should be updated
will create a PR now


net/http: improper sanitization of Transfer-Encoding header

The net/http server improperly strips CRs surrounding the Transfer-Encoding header value, treating "Transfer-Encoding: \rchunked" as indicating a chunked body.
For example, this request is interpreted as containing the body a.
echo -ne "POST /post HTTP/1.1\r\nHost: localhost\r\nTransfer-Encoding: \rchunked\r\n\r\n1\r\na\r\n0\r\n\r\n" | nc localhost 8080

This is a weak vector for request smuggling: CRs are not permitted in headers aside from in the CRLF line terminators, so this request is invalid. We should still fix this as a general hardening measure.
Thanks to Zeyu Zhang (https://www.zeyu2001.com/) for reporting this issue.

@gopherbot please open backport issues.


Life-Mending regenerating durability on armor stands.

Hey, I've found a Bug including an armor stand and the Life-Mending enchantment.
If an armor stand has arms, which can be achieved with other mods or commands and you put any Item with durability into it's hands, the Life-Mending enchantment will regenerate durability without any cost whatsoever.
Minecraft Version 1.16.5
Apotheosis Version 4.8.4

MC 1.16.5 is no longer supported.
I'll look into it for 1.18 though.  Weird thing is the enchant triggers off the healing event, and I'm not sure why an armor stand would be healing...

Fixed in 5.7.0