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mjrenomjreno
mjreno
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mark tests as regression
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autotest/regression/test_model_netcdf.py

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@@ -108,6 +108,7 @@ def compare_netcdf_data(base, gen):
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assert np.allclose(da.data, xrg.coords[varname].data)
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@pytest.mark.regression
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def test_load_gwfsto01(function_tmpdir, example_data_path):
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data_path_base = example_data_path / "mf6" / "netcdf"
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tests = {
@@ -168,6 +169,7 @@ def test_load_gwfsto01(function_tmpdir, example_data_path):
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compare_netcdf(base, gen)
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@pytest.mark.regression
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def test_update_gwfsto01(function_tmpdir, example_data_path):
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data_path_base = example_data_path / "mf6" / "netcdf"
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tests = {
@@ -258,6 +260,7 @@ def test_update_gwfsto01(function_tmpdir, example_data_path):
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compare_netcdf(base, gen, update=update)
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@pytest.mark.regression
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def test_create_gwfsto01(function_tmpdir, example_data_path):
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data_path_base = example_data_path / "mf6" / "netcdf"
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tests = {
@@ -498,6 +501,7 @@ def test_create_gwfsto01(function_tmpdir, example_data_path):
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compare_netcdf(base, gen)
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@pytest.mark.regression
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def test_gwfsto01(function_tmpdir, example_data_path):
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data_path_base = example_data_path / "mf6" / "netcdf"
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tests = {
@@ -641,6 +645,7 @@ def test_gwfsto01(function_tmpdir, example_data_path):
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)
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@pytest.mark.regression
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def test_load_disv01b(function_tmpdir, example_data_path):
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data_path_base = example_data_path / "mf6" / "netcdf"
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tests = {
@@ -693,6 +698,7 @@ def test_load_disv01b(function_tmpdir, example_data_path):
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compare_netcdf(base, gen)
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@pytest.mark.regression
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def test_update_disv01b(function_tmpdir, example_data_path):
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data_path_base = example_data_path / "mf6" / "netcdf"
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tests = {
@@ -786,6 +792,7 @@ def test_update_disv01b(function_tmpdir, example_data_path):
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compare_netcdf(base, gen, update=update)
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@pytest.mark.regression
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def test_create_disv01b(function_tmpdir, example_data_path):
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data_path_base = example_data_path / "mf6" / "netcdf"
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tests = {
@@ -876,6 +883,7 @@ def test_create_disv01b(function_tmpdir, example_data_path):
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compare_netcdf(base, gen)
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@pytest.mark.regression
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def test_disv01b(function_tmpdir, example_data_path):
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data_path_base = example_data_path / "mf6" / "netcdf"
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tests = {
@@ -1013,6 +1021,7 @@ def test_disv01b(function_tmpdir, example_data_path):
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)
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@pytest.mark.regression
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def test_dis_transform(function_tmpdir, example_data_path):
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transform_ws = function_tmpdir
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cmp_pth = transform_ws / "compare"
@@ -1071,6 +1080,7 @@ def test_dis_transform(function_tmpdir, example_data_path):
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@requires_exe("triangle")
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@pytest.mark.regression
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def test_disv_transform(function_tmpdir, example_data_path):
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# create triangular grid
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from flopy.utils.triangle import Triangle

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