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test_recollate.py
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test_recollate.py
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import easyvvuq as uq
import chaospy as cp
import os
import sys
import pytest
import logging
from pprint import pformat, pprint
__copyright__ = """
Copyright 2018 Robin A. Richardson, David W. Wright
This file is part of EasyVVUQ
EasyVVUQ is free software: you can redistribute it and/or modify
it under the terms of the Lesser GNU General Public License as published by
the Free Software Foundation, either version 3 of the License, or
(at your option) any later version.
EasyVVUQ is distributed in the hope that it will be useful,
but WITHOUT ANY WARRANTY; without even the implied warranty of
MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
Lesser GNU General Public License for more details.
You should have received a copy of the Lesser GNU General Public License
along with this program. If not, see <https://www.gnu.org/licenses/>.
"""
__license__ = "LGPL"
# If cannonsim has not been built (to do so, run the Makefile in tests/cannonsim/src/)
# then skip this test
if not os.path.exists("tests/cannonsim/bin/cannonsim"):
pytest.skip(
"Skipping cannonsim test (cannonsim is not installed in tests/cannonsim/bin/)",
allow_module_level=True)
cannonsim_path = os.path.realpath(os.path.expanduser("tests/cannonsim/bin/cannonsim"))
logging.basicConfig(level=logging.CRITICAL)
def test_recollate(tmpdir):
num_samples = 10
ignore_list = ['Run_1', 'Run_5', 'Run_10']
# Define parameter space for the cannonsim app
params = {
"angle": {
"type": "float",
"min": 0.0,
"max": 6.28,
"default": 0.79},
"air_resistance": {
"type": "float",
"min": 0.0,
"max": 1.0,
"default": 0.2},
"height": {
"type": "float",
"min": 0.0,
"max": 1000.0,
"default": 1.0},
"time_step": {
"type": "float",
"min": 0.0001,
"max": 1.0,
"default": 0.01},
"gravity": {
"type": "float",
"min": 0.0,
"max": 1000.0,
"default": 9.8},
"mass": {
"type": "float",
"min": 0.0001,
"max": 1000.0,
"default": 1.0},
"velocity": {
"type": "float",
"min": 0.0,
"max": 1000.0,
"default": 10.0}}
# Create an encoder and decoder for the cannonsim app
encoder = uq.encoders.GenericEncoder(
template_fname='tests/cannonsim/test_input/cannonsim.template',
delimiter='#',
target_filename='in.cannon')
output_cols = ['Dist', 'lastvx', 'lastvy']
decoder = uq.decoders.SimpleCSV(
target_filename='output.csv', output_columns=output_cols, header=0)
collater = uq.collate.AggregateSamples(average=False)
# Set up samplers
vary = {
"gravity": cp.Uniform(9.8, 1.0),
"mass": cp.Uniform(2.0, 10.0),
}
sampler = uq.sampling.RandomSampler(vary=vary, max_num=num_samples)
my_campaign = uq.Campaign(name='test', work_dir=tmpdir, db_location='sqlite:///')
my_campaign.add_app(name="cannon",
params=params,
encoder=encoder,
decoder=decoder,
collater=collater)
my_campaign.set_app("cannon")
my_campaign.set_sampler(sampler)
my_campaign.draw_samples()
my_campaign.populate_runs_dir()
actions = uq.actions.ExecuteLocal("tests/cannonsim/bin/cannonsim in.cannon output.csv")
my_campaign.apply_for_each_run_dir(actions)
my_campaign.collate()
# Set some runs to be IGNORED, then recollate all
my_campaign.ignore_runs(ignore_list)
my_campaign.recollate()
# Check that the right number of rows are in the collation dataframe
assert(len(my_campaign.get_collation_result().index) == num_samples - len(ignore_list))
# Rerun some runs
my_campaign.rerun(['Run_2', 'Run_3', 'Run_4'])
my_campaign.apply_for_each_run_dir(actions)
pprint(my_campaign._log)
if __name__ == "__main__":
test_recollate('/tmp/')