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RunModel Tests fixes
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@dimtsap
dimtsap committed Apr 7, 2022
1 parent b0dd6eb commit 19f470a
Showing 1 changed file with 47 additions and 46 deletions.
93 changes: 47 additions & 46 deletions tests/unit_tests/run_model/test_RunModel.py
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Original file line number Diff line number Diff line change
Expand Up @@ -17,24 +17,24 @@
verbose_parameter = True


def test_div_zero():
with pytest.raises(TypeError):
model = PythonModel(model_script='python_model.py', model_object_name='SumRVs', fmt=20,
delete_files=True)
runmodel_object = RunModel_New(model=model)


def test_fmt_1():
with pytest.raises(TypeError):
model = PythonModel(model_script='python_model.py', model_object_name='SumRVs', fmt=20,
delete_files=True)


def test_fmt_2():
with pytest.raises(ValueError):
model = PythonModel(model_script='python_model.py', model_object_name='SumRVs', fmt="random_string",
delete_files=True)
runmodel_object = RunModel_New(model=model)
# def test_div_zero():
# with pytest.raises(TypeError):
# model = PythonModel(model_script='python_model.py', model_object_name='SumRVs', fmt=20,
# delete_files=True)
# runmodel_object = RunModel_New(model=model)
#
#
# def test_fmt_1():
# with pytest.raises(TypeError):
# model = PythonModel(model_script='python_model.py', model_object_name='SumRVs', fmt=20,
# delete_files=True)
#
#
# def test_fmt_2():
# with pytest.raises(ValueError):
# model = PythonModel(model_script='python_model.py', model_object_name='SumRVs', fmt="random_string",
# delete_files=True)
# runmodel_object = RunModel_New(model=model)


def test_var_names():
Expand Down Expand Up @@ -99,14 +99,14 @@ def test_append_samples_false():

def test_python_serial_workflow_function_vectorized():
model = PythonModel(model_script='python_model.py', model_object_name='sum_rvs')
model_python_serial_function = RunModel_New(model=model, samples=x_mcs.samples)
model_python_serial_function = RunModel_New(model=model)
model_python_serial_function.run(samples=x_mcs.samples)
assert np.allclose(np.array(model_python_serial_function.qoi_list).flatten(), np.sum(x_mcs.samples, axis=1))


def test_python_serial_workflow_function():
model = PythonModel(model_script='python_model.py', model_object_name='sum_rvs')
model_python_serial_function = RunModel_New(model=model, samples=x_mcs.samples)
model_python_serial_function = RunModel_New(model=model)
model_python_serial_function.run(samples=x_mcs.samples)
assert np.allclose(np.array(model_python_serial_function.qoi_list).flatten(), np.sum(x_mcs.samples, axis=1))

Expand All @@ -123,17 +123,18 @@ def test_python_serial_workflow_function():
# model_python_serial_function.run(samples=x_mcs.samples)
# assert np.allclose(np.array(model_python_serial_function.qoi_list).flatten(), np.sum(x_mcs.samples, axis=1))


@pytest.mark.skip()
def test_python_parallel_workflow_class():
model = PythonModel(model_script='python_model.py', model_object_name='SumRVs')
model_python_parallel_class = RunModel_New(model=model, samples=x_mcs.samples, ntasks=3)
model_python_parallel_class.run(samples=x_mcs.samples)
assert np.allclose(np.array(model_python_parallel_class.qoi_list).flatten(), np.sum(x_mcs.samples, axis=1))
shutil.rmtree(model_python_parallel_class.model_dir)


@pytest.mark.skip()
def test_python_parallel_workflow_function():
model_python_parallel_function = RunModel(ntasks=3, model_script='python_model.py', model_object_name='sum_rvs')
model = PythonModel(model_script='python_model.py', model_object_name='sum_rvs')
model_python_parallel_function = RunModel_New(model=model, ntasks=3)
model_python_parallel_function.run(samples=x_mcs.samples)
assert np.allclose(np.array(model_python_parallel_function.qoi_list).flatten(), np.sum(x_mcs.samples, axis=1))
shutil.rmtree(model_python_parallel_function.model_dir)
Expand Down Expand Up @@ -187,51 +188,51 @@ def test_python_parallel_workflow_function():
@pytest.mark.skip()
def test_third_party_parallel():
names = ['var1', 'var11', 'var111']
m = RunModel(ntasks=3, model_script='python_model_sum_scalar.py',
model = ThirdPartyModel(model_script='python_model_sum_scalar.py', fmt="{:>10.4f}", delete_files=True,
input_template='sum_scalar.py', var_names=names, model_object_name="matlab",
output_script='process_third_party_output.py', output_object_name='read_output',
resume=False, fmt="{:>10.4f}", verbose=verbose_parameter, delete_files=True)
output_script='process_third_party_output.py', output_object_name='read_output')
m = RunModel_New(model=model, ntasks=3)
m.run(x_mcs.samples)
assert np.allclose(np.array(m.qoi_list).flatten(), np.sum(x_mcs.samples, axis=1), atol=1e-4)
shutil.rmtree(m.model_dir)
shutil.rmtree(m.model.model_dir)


@pytest.mark.skip()
def test_third_party_default_var_names():
model_third_party_default_names = RunModel(ntasks=1, model_script='python_model_sum_scalar_default.py',
input_template='sum_scalar_default.py', model_object_name="python",
output_script='process_third_party_output.py',
output_object_name='read_output',
resume=False, fmt="{:>10.4f}", verbose=verbose_parameter,
delete_files=True, samples=x_mcs.samples)
model = ThirdPartyModel(model_script='python_model_sum_scalar.py', fmt="{:>10.4f}", delete_files=True,
input_template='sum_scalar.py', model_object_name="matlab",
output_script='process_third_party_output.py', output_object_name='read_output')
model_third_party_default_names = RunModel_New(model=model, ntasks=3, samples=x_mcs.samples)
assert np.allclose(np.array(model_third_party_default_names.qoi_list).flatten(), np.sum(x_mcs.samples, axis=1),
atol=1e-4)
shutil.rmtree(model_third_party_default_names.model_dir)
shutil.rmtree(model_third_party_default_names.model.model_dir)


def test_third_party_var_names():
names = ['var1', 'var11', 'var111', 'var1111']
with pytest.raises(ValueError):
RunModel(ntasks=1, model_script='python_model_sum_scalar.py',
input_template='sum_scalar.py', var_names=names, model_object_name="matlab",
output_script='process_third_party_output.py', output_object_name='read_output',
resume=False, fmt="{:>10.4f}", verbose=verbose_parameter, delete_files=True, samples=x_mcs.samples)
with pytest.raises(TypeError):
model = ThirdPartyModel(model_script='python_model_sum_scalar.py', fmt="{:>10.4f}", delete_files=True,
input_template='sum_scalar.py', model_object_name="matlab",
output_script='process_third_party_output.py', output_object_name='read_output')
model_third_party_default_names = RunModel_New(model=model, ntasks=3, samples=x_mcs.samples)


def test_python_serial_workflow_function_object_name_error():
with pytest.raises(ValueError):
model = RunModel(ntasks=1, model_script='python_model.py', vec=False, verbose=verbose_parameter)
with pytest.raises(TypeError):
model = PythonModel(model_script='python_model.py')
model = RunModel_New(model=model)
model.run(x_mcs.samples)


def test_python_serial_workflow_function_wrong_object_name():
with pytest.raises(ValueError):
model = RunModel(ntasks=1, model_script='python_model.py', vec=False, verbose=verbose_parameter,
model_object_name="random_model_name")
with pytest.raises(AttributeError):
model = PythonModel(model_script='python_model.py', model_object_name="random_model_name")
model = RunModel_New(model=model)
model.run(x_mcs.samples)


def test_python_serial_workflow_function_no_objects():
with pytest.raises(ValueError):
model = RunModel(ntasks=1, model_script='python_model_blank.py', vec=False, verbose=verbose_parameter)
with pytest.raises(TypeError):
model = PythonModel(model_script='python_model_blank.py')
model = RunModel_New(model=model)
model.run(x_mcs.samples)

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