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trick/test/SIM_mc_generation/README

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Integrate MonteCarloGenerate capability from EG CML and associated TrickOps enhancements (#1415) * Provide MonteCarloGenerate capability Intermediate commit, this squash represents all of Isaac Reaves' work during his Fall 2022 Pathways internship tour [skip ci] * TrickOps: Add phase, [min-max] range, and overhaul YAML verification * Add new "phase:" mechanism to TrickOps Runs and Builds to support project-specific constraints on build and run ordering - phase defaults to zero if not specified and must be between -1000 and 1000 if given. - jobs can now optionally be requested by their phase or phase range - See trickops/README.md for details * Add [min-max] notation capability to run: entries and compare: entries - [min-max] ranges provide definition of a set of runs using a common numbering scheme in the YAML file, greatly reducing YAML file size for monte-carlo and other zero-padded run numbering use cases - See trickops/README.md for details * YAML parsing changes - Overhaul the logic which verifies YAML files for the expected TrickOps format. This is now done in TrickWorkflowYamlVerifier and provides much more robust error checking than previous approach - .yaml_requirements.yml now provides the required types, ranges, and default values as applicable to expected entries in YAML files - valgrind: is now an sub-option to run: entries, not its own section Users should now list their runs normallly and define their flags in in that run's valgrind: subsection - parallel_safety is now a per-sim parameter and not global. Users should move their global config to the sim layer - self.config_errors is now a list of errors. Users should now check for empty list when using instead of True/False * Robustify the get_koviz_report_jobs unit test to work whether koviz exists on PATH or not * Adjust trickops.py to use the new phase and range features - Make it more configurable on the command-line via argparse - Move SIM_mc_generation tests into test_sims.yml [skip ci] * Code review and cleanup from PR #1389 Documentation: * Adjust documentation to fit suggested symlinked approach. Also cleaned up duplicate images and old documentation. * Moved the verification section out of markdown and into a PDF since it heavily leverages formatting not available in markdown. * Clarify a couple points on the Darwin Trick install guide * Update wiki to clarify that data recording strings is not supported MCG Code: * Replace MonteCarloVariableRandomNormal::is_near_equal with new Trick::dbl_is_near from trick team MCG Testing: * Reduce the set of SIM_mc_generation comparisons. After discussion the trick team, we are choosing to remove all comparisons to verif_data/ which contain random-generated numbers since these tests cannot pass across all supported trick platforms. * Fix the wrong rule on exlcuding -Werror for Darwin builds of SIM_mc_generation * Remove data recording of strings in SIM_mc_generation Trickops: * Replace build_command with build_args per discussion w/ Trick team Since we only support arguments to trick-CP, replace the build_command yaml entry with build_args * Disable var server connection by default in SingleRun if TrickWorkflow.quiet is True * Guard against multiple Job starts * Remove SimulationJob inheritance layer since old monte-carlo wasn't and never will be supported by TrickOps * Ignore IOError raise from variable_server that looks like "The remote endpoint has closed the connection". This appears to occur when SingleRun jobs attempt to connect to the var server for a sim that terminates very early [skip ci] * Adjust phasing of old/new MCG initialize functions * Clarify failure message in generate_dispersions if new/old MC are both used. * Adjust the phasing order of MCG intialize method to be before legacy MC initialized. Without this, monte-carlo dry run completes with success before the check in generate_dispersions() can run * Add -Wno-stringop-truncation to S_override.mk for SIM_mc_generation since gcc 8+ warns about SWIG generated content in top.cpp * Introduce MonteCarloGenerationHelper python class This new class provides an easy-to-use interface for MCG sim-module users: 1. Run generation 2. Getting an sbatch array job suitable for SLURM 3. Getting a list of SingleRun() instances for generated runs, to be executed locally if desired --------- Co-authored-by: Dan Jordan <daniel.d.jordan@nasa.gov>
2023-03-06 15:25:50 +00:00
Verification simulation of monte_carlo.
The following tests rely on setting the directories to be non-writable. Their
purpose is to detect situations in which the monte-carlo model cannot generate
certain files. These tests by their very nature are difficult to run within an
automated scripted testing system.
IO_FAIL
IO_RUN_ERROR1
IO_RUN_ERROR2
The following cases are expecting either a warning or an error but
the simulation does not terminate. Instead, ZERO is returned.
The purpose of these cases is to emit the error or warning, not generate
viable datasets. Do not evaluate any of these cases for good dispersions.
There is no telling what state the data is in after the warning / error
message is emitted.
RUN_ERROR_file_inconsistent_skip
RUN_ERROR_invalid_call
RUN_ERROR_invalid_name
RUN_ERROR_invalid_sequence
RUN_ERROR_invalid_sequencing
RUN_ERROR_IO_error
RUN_ERROR_IO_error2
RUN_ERROR_out_of_domain_error
RUN_ERROR_random_value_truncation
RUN_WARN_config_error
RUN_WARN_invalid_name
RUN_WARN_overconstrained_config
The following cases emit a fatal error and the simulation halts in its tracks:
FAIL_config_error
FAIL_duplicate_variable
FAIL_illegal_config
FAIL_invalid_config
FAIL_invalid_data_file
FAIL_IO_error
FAIL_IO_error2
FAIL_malformed_data_file
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