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9099792947
* 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>
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/*****************************************************************************
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PURPOSE: SIM object used to Exercise the features and failure cases of the
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MonteCarloGeneration model.
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PROGRAMMERS:
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(((Isaac Reaves) (NASA) (November 2022) (Integration into Trick Core)))
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*****************************************************************************/
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#include "sim_objects/default_trick_sys.sm"
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#include "sim_objects/MonteCarloGenerate.sm"
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/*****************************************************************************
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MC_Test sim object
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****************************************************************************/
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class MC_TestSimObject : public Trick::SimObject
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{
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public:
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double x_uniform;
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double x_normal;
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double x_normal_trunc[5];
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double x_normal_length; // (m) Dispersed in ft.
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double x_line_command;
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double x_file_command[3];
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double x_file_lookup[3];
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double x_fixed_value_double;
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double x_semi_fixed_value;
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int x_fixed_value_int;
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int x_integer;
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bool x_boolean;
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std::string x_string;
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std::string x_fixed_value_string;
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int x_sdefine_routine_called;
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MonteCarloVariableFile mc_var_file;
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MC_TestSimObject()
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:
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mc_var_file("test.x_file_lookup[0]", "Modified_data/datafile.txt", 3)
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{
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("initialization") monte_carlo.generate_dispersions();
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(1.0,"environment") output_strings();
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};
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// standalone_function is used to test using an instance of
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// MonteCarloPythonLineExec to execute a standalone function.
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void standalone_function( double value)
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{
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std::cout << "\nStandalone_function received a value of " << value << "\n";
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x_sdefine_routine_called = 1;
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}
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private:
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void output_strings() {
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std::cout << "\nstrings : " << x_string << " : " << x_fixed_value_string << "\n";
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}
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MC_TestSimObject( const MC_TestSimObject&);
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MC_TestSimObject & operator= ( const MC_TestSimObject&);
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};
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MC_TestSimObject test;
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