first idea how to test pointwise operations

This commit is contained in:
Martin Diehl 2019-11-23 18:58:44 +01:00
parent e3f8195621
commit eb80a82e05
1 changed files with 67 additions and 0 deletions

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import shutil
import os
import pytest
import numpy as np
from damask import DADF5
from damask import mechanics
@pytest.fixture
def default(tmp_path,reference_dir):
"""Small DADF5 file for testing."""
fname = '12grains6x7x8_tensionY.hdf5'
shutil.copy(os.path.join(reference_dir,fname),tmp_path)
f = DADF5(os.path.join(tmp_path,fname))
f.set_by_time(20.0,20.0)
return f
@pytest.fixture
def reference_dir(reference_dir_base):
"""directory containing reference results."""
return os.path.join(reference_dir_base,'DADF5')
class TestDADF5:
def test_add_deviator(self,default):
default.add_deviator('P')
loc = {'P' :default.get_dataset_location('P'),
's_P':default.get_dataset_location('s_P')}
in_memory = mechanics.deviatoric_part(default.read_dataset(loc['P'],0))
in_file = default.read_dataset(loc['s_P'],0)
assert np.allclose(in_memory,in_file)
def test_add_Cauchy(self,default):
default.add_Cauchy('P','F')
loc = {'F': default.get_dataset_location('F'),
'P': default.get_dataset_location('P'),
'sigma':default.get_dataset_location('sigma')}
in_memory = mechanics.Cauchy(default.read_dataset(loc['F'],0),
default.read_dataset(loc['P'],0))
in_file = default.read_dataset(loc['sigma'],0)
assert np.allclose(in_memory,in_file)
def test_add_absolute(self,default):
default.add_absolute('Fe')
loc = {'Fe': default.get_dataset_location('Fe'),
'|Fe|': default.get_dataset_location('|Fe|')}
in_memory = np.abs(default.read_dataset(loc['Fe'],0))
in_file = default.read_dataset(loc['|Fe|'],0)
assert np.allclose(in_memory,in_file)
def test_add_determinant(self,default):
default.add_determinant('Lp')
loc = {'Lp': default.get_dataset_location('Lp'),
'det(Lp)': default.get_dataset_location('det(Lp)')}
in_memory = np.linalg.det(default.read_dataset(loc['Lp'],0))
in_file = default.read_dataset(loc['det(Lp)'],0)
assert np.allclose(in_memory,in_file)
def test_add_spherical(self,default):
default.add_spherical('P')
loc = {'P': default.get_dataset_location('P'),
'p_P': default.get_dataset_location('p_P')}
in_memory = mechanics.spherical_part(default.read_dataset(loc['P'],0))
in_file = default.read_dataset(loc['p_P'],0)
assert np.allclose(in_memory,in_file)