83 lines
3.2 KiB
Python
83 lines
3.2 KiB
Python
import shutil
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import os
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import pytest
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import numpy as np
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from damask import DADF5
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from damask import mechanics
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@pytest.fixture
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def default(tmp_path,reference_dir):
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"""Small DADF5 file in temp location for modification."""
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fname = '12grains6x7x8_tensionY.hdf5'
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shutil.copy(os.path.join(reference_dir,fname),tmp_path)
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f = DADF5(os.path.join(tmp_path,fname))
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f.set_by_time(20.0,20.0)
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return f
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@pytest.fixture
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def reference_dir(reference_dir_base):
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"""Directory containing reference results."""
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return os.path.join(reference_dir_base,'DADF5')
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class TestDADF5:
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def test_time_increments(self,default):
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shape = default.read_dataset(default.get_dataset_location('F'),0).shape
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default.set_by_time(0.0,20.0)
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for i in default.iter_visible('increments'):
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assert shape == default.read_dataset(default.get_dataset_location('F'),0).shape
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def test_add_absolute(self,default):
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default.add_absolute('Fe')
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loc = {'Fe': default.get_dataset_location('Fe'),
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'|Fe|': default.get_dataset_location('|Fe|')}
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in_memory = np.abs(default.read_dataset(loc['Fe'],0))
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in_file = default.read_dataset(loc['|Fe|'],0)
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assert np.allclose(in_memory,in_file)
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def test_add_Cauchy(self,default):
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default.add_Cauchy('P','F')
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loc = {'F': default.get_dataset_location('F'),
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'P': default.get_dataset_location('P'),
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'sigma':default.get_dataset_location('sigma')}
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in_memory = mechanics.Cauchy(default.read_dataset(loc['F'],0),
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default.read_dataset(loc['P'],0))
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in_file = default.read_dataset(loc['sigma'],0)
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assert np.allclose(in_memory,in_file)
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def test_add_determinant(self,default):
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default.add_determinant('P')
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loc = {'P': default.get_dataset_location('P'),
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'det(P)':default.get_dataset_location('det(P)')}
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in_memory = np.linalg.det(default.read_dataset(loc['P'],0)).reshape((-1,1))
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in_file = default.read_dataset(loc['det(P)'],0)
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assert np.allclose(in_memory,in_file)
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def test_add_deviator(self,default):
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default.add_deviator('P')
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loc = {'P' :default.get_dataset_location('P'),
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's_P':default.get_dataset_location('s_P')}
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in_memory = mechanics.deviatoric_part(default.read_dataset(loc['P'],0))
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in_file = default.read_dataset(loc['s_P'],0)
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assert np.allclose(in_memory,in_file)
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def test_add_norm(self,default):
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default.add_norm('F',1)
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loc = {'F': default.get_dataset_location('F'),
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'|F|_1':default.get_dataset_location('|F|_1')}
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in_memory = np.linalg.norm(default.read_dataset(loc['F'],0),ord=1,axis=(1,2),keepdims=True)
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in_file = default.read_dataset(loc['|F|_1'],0)
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assert np.allclose(in_memory,in_file)
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def test_add_spherical(self,default):
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default.add_spherical('P')
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loc = {'P': default.get_dataset_location('P'),
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'p_P': default.get_dataset_location('p_P')}
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in_memory = mechanics.spherical_part(default.read_dataset(loc['P'],0)).reshape(-1,1)
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in_file = default.read_dataset(loc['p_P'],0)
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assert np.allclose(in_memory,in_file)
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