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Overview of the MockModelFields for load case LC1

from __future__ import annotations

from vimseo import EXAMPLE_RUNS_DIR
from vimseo.api import create_model
from vimseo.core.model_settings import IntegratedModelSettings

First, let's instantiate the model for a given load case:

model_name = "MockModelFields"
load_case = "LC1"
model = create_model(
    model_name,
    load_case,
    check_subprocess=True,
    model_options=IntegratedModelSettings(
        directory_archive_root=EXAMPLE_RUNS_DIR / "archive/model_gallery",
        directory_scratch_root=EXAMPLE_RUNS_DIR / "scratch/model_gallery",
        cache_file_path=EXAMPLE_RUNS_DIR
        / f"caches/model_gallery/{model_name}_{load_case}_cache.hdf",
    ),
)

The model description can be accessed like this:

print(model.description)

Out:

Model MockModelFields: 

Load case:
   Load case LC1: A first mock load case.

   Boundary condition variables:
   []

   Plot parameters:
   {
    "curves": []
}
   Load:
   Load(direction='', sign='', type='')

Default values:

   Default geometrical variables:
   {"x1": [2.0]}

   Default numerical variables:
   {}

   Default boundary conditions variables:
   {}

   Default material variables:
   {}
model_inputs:
   [
    "x1"
]
model_outputs:
   [
    "y1",
    "error_code",
    "model",
    "load_case",
    "description",
    "job_name",
    "persistent_result_files",
    "n_cpus",
    "date",
    "cpu_time",
    "user",
    "machine",
    "vims_git_version",
    "directory_archive_root",
    "directory_archive_job",
    "directory_scratch_root",
    "directory_scratch_job",
    "pyramid"
]

An illustration of the load case:

model.show_image()

The model is executed with its default input values:

model.execute()

Out:

{'x1': array([2.]), 'cpu_time': array([0.01064324]), 'date': array(['2025-11-05 22:19:44.645556'], dtype='<U26'), 'description': array([''], dtype='<U1'), 'directory_archive_job': array(['..\\model_runs\\archive\\model_gallery\\MockModelFields\\LC1\\1'],
      dtype='<U57'), 'directory_archive_root': array(['C:\\Users\\sebastien.bocquet\\PycharmProjects\\vims\\docs\\runnable_examples\\model_runs\\archive\\model_gallery'],
      dtype='<U103'), 'directory_scratch_job': array(['..\\model_runs\\scratch\\model_gallery\\MockModelFields\\LC1\\1'],
      dtype='<U57'), 'directory_scratch_root': array(['C:\\Users\\sebastien.bocquet\\PycharmProjects\\vims\\docs\\runnable_examples\\model_runs\\scratch\\model_gallery'],
      dtype='<U103'), 'error_code': array([0]), 'job_name': array([''], dtype='<U1'), 'load_case': array(['LC1'], dtype='<U3'), 'machine': array(['B20191729'], dtype='<U9'), 'model': array(['MockModelFields'], dtype='<U15'), 'n_cpus': array([1]), 'persistent_result_files': array(['Pyramid.vtk'], dtype='<U11'), 'pyramid': array(['Pyramid.vtk'], dtype='<U11'), 'user': array(['sebastien.bocquet'], dtype='<U17'), 'vims_git_version': array(['95990fa211debd91a91ffe1d89b2b0b4b855f387'], dtype='<U40'), 'y1': array([2.])}

And the results are visualised with the pre-defined plots:

figures = model.plot_results(show=True)

Total running time of the script: ( 0 minutes 0.123 seconds)

Download Python source code: plot_MockModelFields_LC1.py

Download Jupyter notebook: plot_MockModelFields_LC1.ipynb

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