| |
| include("platform:/plugin/org.eclipse.papyrus.ease/scripts/python/papyrusutils.py") |
| include("platform:/plugin/org.eclipse.papyrus.moka.ease/scripts/python/bootstrap.py") |
| |
| loadModule("/Modeling/MokaParametric") |
| loadModule("/Modeling/PapyrusUtils") |
| import pandas |
| import numpy as np |
| |
| def wrap(obj): |
| return PythonWrapper(obj) |
| |
| |
| def unwrap(obj): |
| return obj.unwrap() |
| |
| |
| def get_dataframe(engine): |
| |
| log = engine.getLog() |
| df = pandas.DataFrame() |
| |
| for value in log: |
| #optimized byte-buffer-based java to python transfer for Double and Integer values |
| if (value.getType()== 'Double') : |
| array = np.frombuffer(value.getByteArray(), dtype=np.float64) |
| series =pandas.Series(data=array) |
| |
| elif (value.getType()== 'Integer') : |
| array = np.frombuffer(value.getByteArray(), dtype=np.int32) |
| series =pandas.Series(data=array) |
| |
| else : |
| #default transfer copying values, much slower |
| series =pandas.Series(data=list(value.getValues())) |
| df[value.getAlias()] = series |
| |
| return df |
| |
| |
| def init_parametric_engine(simulation_entrypoint) : |
| #we get the parametric engine instance |
| engine = getParametricEngine() |
| return (engine, wrap(engine.initEngine(simulation_entrypoint))) |
