def test_convergence_evaluation_single():
ceval_class = cb._class_import(ceval_fixedvar_mutableparam_str)
ceval = ceval_class()
import idaes.core.util.convergence.tests.conv_eval_classes as cev
assert ceval.__class__ == cev.ConvEvalFixedVarMutableParam().__class__
spec = ceval.get_specification()
fname = os.path.join(wrtdir, 'ceval_fixedvar_mutableparam.3.43.json')
cb.write_sample_file(spec, fname, ceval_fixedvar_mutableparam_str,
n_points=3, seed=43)
s, c, t, i = cb.run_single_sample_from_sample_file(fname, name="Sample-1")
assert c == True
def test_convergence_evaluation_fixedvar_mutableparam():
ceval_class = cb._class_import(ceval_fixedvar_mutableparam_str)
ceval = ceval_class()
import idaes.core.util.convergence.tests.conv_eval_classes as cev
assert ceval.__class__ == cev.ConvEvalFixedVarMutableParam().__class__
spec = ceval.get_specification()
fname = os.path.join(currdir, 'ceval_fixedvar_mutableparam.3.43.json')
cb.write_sample_file(spec,
fname,
ceval_fixedvar_mutableparam_str,
n_points=3,
seed=43)
inputs, samples, global_results = \
cb.run_convergence_evaluation_from_sample_file(fname)
# put the results into a json file for comparison
# jsondict = dict(inputs=inputs, samples=samples,
# global_results=global_results)
# results_fname = os.path.join(
# currdir, 'ceval_fixedvar_mutableparam.3.43.results.json')
# with open(results_fname, 'w') as fd:
# json.dump(jsondict, fd, indent=3)
# compare results
assert global_results[0]['name'] == 'Sample-1'
assert global_results[0]['solved']
# This should take 14 iterations to converge with the IDAES solver
# distribution, but due to various solver factors the number of iterations
# could vary.
assert global_results[0]['iters'] == pytest.approx(14, abs=2)
assert global_results[1]['name'] == 'Sample-2'
assert global_results[1]['solved']
# This should take 15 iterations to converge with the IDAES solver
# distribution, but due to various solver factors the number of iterations
# could vary.
assert global_results[1]['iters'] == pytest.approx(15, abs=2)
assert global_results[2]['name'] == 'Sample-3'
assert global_results[2]['solved']
# This should take 12 iterations to converge with the IDAES solver
# distribution, but due to various solver factors the number of iterations
# could vary.
assert global_results[2]['iters'] == pytest.approx(12, abs=2)
if os.path.exists(fname):
os.remove(fname)
def test_convergence_evaluation_stats_from_to():
ceval_class = cb._class_import(ceval_fixedvar_mutableparam_str)
ceval = ceval_class()
import idaes.core.util.convergence.tests.conv_eval_classes as cev
assert ceval.__class__ == cev.ConvEvalFixedVarMutableParam().__class__
spec = ceval.get_specification()
fname = os.path.join(wrtdir, 'ceval_fixedvar_mutableparam.3.43.json')
cb.write_sample_file(spec, fname, ceval_fixedvar_mutableparam_str,
n_points=3, seed=43)
inputs, samples, results = \
cb.run_convergence_evaluation_from_sample_file(fname)
s = cb.save_convergence_statistics(inputs, results)
d = s.to_dict()
s2 = cb.Stats(from_dict=d)
fname1 = os.path.join(wrtdir, 'stats1.json')
fname2 = os.path.join(wrtdir, 'stats2.json')
fname3 = os.path.join(wrtdir, 'stats3.json')
with open(fname1, "w") as f:
s.to_json(f)
with open(fname2, "w") as f:
s2.to_json(f)
compare_json_files(baseline_fname=fname1,
output_fname=fname2,
tolerance=1e-8)
s3 = cb.Stats(from_json=fname1)
with open(fname3, "w") as f:
s3.to_json(f)
compare_json_files(baseline_fname=fname1,
output_fname=fname3,
tolerance=1e-8)
if os.path.exists(fname):
os.remove(fname)
if os.path.exists(fname1):
os.remove(fname1)
if os.path.exists(fname2):
os.remove(fname2)
if os.path.exists(fname3):
os.remove(fname3)
def test_convergence_evaluation_specification_file_fixedvar_mutableparam():
ceval_class = cb._class_import(ceval_fixedvar_mutableparam_str)
ceval = ceval_class()
import idaes.core.util.convergence.tests.conv_eval_classes as cev
assert ceval.__class__ == cev.ConvEvalFixedVarMutableParam().__class__
spec = ceval.get_specification()
fname = os.path.join(currdir, 'ceval_fixedvar_mutableparam.3.42.json')
cb.write_sample_file(spec, fname, ceval_fixedvar_mutableparam_str,
n_points=3, seed=42)
baseline_fname = os.path.join(
currdir,
'ceval_fixedvar_mutableparam.3.42.baseline.json')
compare_json_files(baseline_fname=baseline_fname,
output_fname=fname,
tolerance=1e-8)
if os.path.exists(fname):
os.remove(fname)
def test_convergence_evaluation_fixedvar_mutableparam():
ceval_class = cb._class_import(ceval_fixedvar_mutableparam_str)
ceval = ceval_class()
import idaes.core.util.convergence.tests.conv_eval_classes as cev
assert ceval.__class__ == cev.ConvEvalFixedVarMutableParam().__class__
spec = ceval.get_specification()
fname = os.path.join(currdir, 'ceval_fixedvar_mutableparam.3.43.json')
cb.write_sample_file(spec,
fname,
ceval_fixedvar_mutableparam_str,
n_points=3,
seed=43)
inputs, samples, global_results = \
cb.run_convergence_evaluation_from_sample_file(fname)
# put the results into a json file for comparison
# jsondict = dict(inputs=inputs, samples=samples,
# global_results=global_results)
# results_fname = os.path.join(
# currdir, 'ceval_fixedvar_mutableparam.3.43.results.json')
# with open(results_fname, 'w') as fd:
# json.dump(jsondict, fd, indent=3)
# compare results
assert global_results[0]['name'] == 'Sample-1'
assert global_results[0]['solved']
assert global_results[0]['iters'] == 14
assert global_results[1]['name'] == 'Sample-2'
assert global_results[1]['solved']
assert global_results[1]['iters'] == 15
assert global_results[2]['name'] == 'Sample-3'
assert global_results[2]['solved']
assert global_results[2]['iters'] == 12
if os.path.exists(fname):
os.remove(fname)
def test_convergence_evaluation_stats_from_to():
ceval_class = cb._class_import(ceval_fixedvar_mutableparam_str)
ceval = ceval_class()
import idaes.core.util.convergence.tests.conv_eval_classes as cev
assert ceval.__class__ == cev.ConvEvalFixedVarMutableParam().__class__
spec = ceval.get_specification()
fname = os.path.join(wrtdir, 'ceval_fixedvar_mutableparam.3.43.json')
cb.write_sample_file(spec, fname, ceval_fixedvar_mutableparam_str,
n_points=3, seed=43)
inputs, samples, results = \
cb.run_convergence_evaluation_from_sample_file(fname)
s = cb.save_convergence_statistics(inputs, results)
d = s.to_dict()
s2 = cb.Stats(from_dict=d)
fname1 = os.path.join(wrtdir, 'stats1.json')
with open(fname1, "w") as f:
s.to_json(f)
with open(fname1) as FILE:
baseline = json.load(FILE)
buf = io.StringIO()
s2.to_json(buf)
test = json.loads(buf.getvalue())
assertStructuredAlmostEqual(baseline, test, abstol=1e-8)
s3 = cb.Stats(from_json=fname1)
buf = io.StringIO()
s3.to_json(buf)
test = json.loads(buf.getvalue())
assertStructuredAlmostEqual(baseline, test, abstol=1e-8)
if os.path.exists(fname):
os.remove(fname)
if os.path.exists(fname1):
os.remove(fname1)
def test_convergence_evaluation_specification_file_fixedvar_mutableparam():
ceval_class = cb._class_import(ceval_fixedvar_mutableparam_str)
ceval = ceval_class()
import idaes.core.util.convergence.tests.conv_eval_classes as cev
assert ceval.__class__ == cev.ConvEvalFixedVarMutableParam().__class__
spec = ceval.get_specification()
fname = os.path.join(wrtdir, 'ceval_fixedvar_mutableparam.3.42.json')
cb.write_sample_file(spec, fname, ceval_fixedvar_mutableparam_str,
n_points=3, seed=42)
baseline_fname = os.path.join(
currdir,
'ceval_fixedvar_mutableparam.3.42.baseline.json')
with open(fname) as FILE:
test = json.load(FILE)
with open(baseline_fname) as FILE:
baseline = json.load(FILE)
assertStructuredAlmostEqual(baseline, test, abstol=1e-8)
if os.path.exists(fname):
os.remove(fname)