Merge branch 'misc-improvements' into less-shell-scripts

This commit is contained in:
Martin Diehl 2020-05-27 17:40:13 +02:00
commit 0fe450a033
6 changed files with 122 additions and 97 deletions

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@ -568,9 +568,8 @@ class Result:
'label': 'sigma',
'meta': {
'Unit': P['meta']['Unit'],
'Description': 'Cauchy stress calculated from {} ({}) '.format(P['label'],
P['meta']['Description'])+\
'and {} ({})'.format(F['label'],F['meta']['Description']),
'Description': 'Cauchy stress calculated from {} ({}) and {} ({})'\
.format(P['label'],P['meta']['Description'],F['label'],F['meta']['Description']),
'Creator': inspect.stack()[0][3][1:]
}
}
@ -638,17 +637,24 @@ class Result:
@staticmethod
def _add_eigenvalue(T_sym):
def _add_eigenvalue(T_sym,eigenvalue):
if eigenvalue == 'max':
label,p = 'Maximum',2
elif eigenvalue == 'mid':
label,p = 'Intermediate',1
elif eigenvalue == 'min':
label,p = 'Minimum',0
return {
'data': mechanics.eigenvalues(T_sym['data']),
'label': 'lambda({})'.format(T_sym['label']),
'data': mechanics.eigenvalues(T_sym['data'])[:,p],
'label': 'lambda_{}({})'.format(eigenvalue,T_sym['label']),
'meta' : {
'Unit': T_sym['meta']['Unit'],
'Description': 'Eigenvalues of {} ({})'.format(T_sym['label'],T_sym['meta']['Description']),
'Description': '{} eigenvalue of {} ({})'.format(label,T_sym['label'],T_sym['meta']['Description']),
'Creator': inspect.stack()[0][3][1:]
}
}
def add_eigenvalues(self,T_sym):
def add_eigenvalue(self,T_sym,eigenvalue='max'):
"""
Add eigenvalues of symmetric tensor.
@ -656,33 +662,46 @@ class Result:
----------
T_sym : str
Label of symmetric tensor dataset.
eigenvalue : str, optional
Eigenvalue. Select from max, mid, min. Defaults to max.
"""
self._add_generic_pointwise(self._add_eigenvalue,{'T_sym':T_sym})
self._add_generic_pointwise(self._add_eigenvalue,{'T_sym':T_sym},{'eigenvalue':eigenvalue})
@staticmethod
def _add_eigenvector(T_sym):
def _add_eigenvector(T_sym,eigenvalue):
if eigenvalue == 'max':
label,p = 'maximum',2
elif eigenvalue == 'mid':
label,p = 'intermediate',1
elif eigenvalue == 'min':
label,p = 'minimum',0
print('p',eigenvalue)
return {
'data': mechanics.eigenvectors(T_sym['data']),
'label': 'v({})'.format(T_sym['label']),
'data': mechanics.eigenvectors(T_sym['data'])[:,p],
'label': 'v_{}({})'.format(eigenvalue,T_sym['label']),
'meta' : {
'Unit': '1',
'Description': 'Eigenvectors of {} ({})'.format(T_sym['label'],T_sym['meta']['Description']),
'Description': 'Eigenvector corresponding to {} eigenvalue of {} ({})'\
.format(label,T_sym['label'],T_sym['meta']['Description']),
'Creator': inspect.stack()[0][3][1:]
}
}
def add_eigenvectors(self,T_sym):
def add_eigenvector(self,T_sym,eigenvalue='max'):
"""
Add eigenvectors of symmetric tensor.
Add eigenvector of symmetric tensor.
Parameters
----------
T_sym : str
Label of symmetric tensor dataset.
eigenvalue : str, optional
Eigenvalue to which the eigenvector corresponds. Select from
max, mid, min. Defaults to max.
"""
self._add_generic_pointwise(self._add_eigenvector,{'T_sym':T_sym})
self._add_generic_pointwise(self._add_eigenvector,{'T_sym':T_sym},{'eigenvalue':eigenvalue})
@staticmethod
@ -819,9 +838,8 @@ class Result:
'label': 'S',
'meta': {
'Unit': P['meta']['Unit'],
'Description': '2. Kirchhoff stress calculated from {} ({}) '.format(P['label'],
P['meta']['Description'])+\
'and {} ({})'.format(F['label'],F['meta']['Description']),
'Description': '2. Piola-Kirchhoff stress calculated from {} ({}) and {} ({})'\
.format(P['label'],P['meta']['Description'],F['label'],F['meta']['Description']),
'Creator': inspect.stack()[0][3][1:]
}
}

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@ -1,68 +1,4 @@
68 header
geom_fromVoronoiTessellation 2.0.3-1073-g6f3cb071
<texture>
[Grain1]
(gauss) phi1 358.98 Phi 65.62 phi2 24.48
[Grain2]
(gauss) phi1 121.05 Phi 176.11 phi2 295.73
[Grain3]
(gauss) phi1 43.79 Phi 113.76 phi2 345.90
[Grain4]
(gauss) phi1 265.15 Phi 62.52 phi2 299.71
[Grain5]
(gauss) phi1 221.23 Phi 26.54 phi2 207.05
[Grain6]
(gauss) phi1 249.81 Phi 61.47 phi2 152.14
[Grain7]
(gauss) phi1 332.45 Phi 99.16 phi2 345.34
[Grain8]
(gauss) phi1 312.27 Phi 118.27 phi2 181.59
[Grain9]
(gauss) phi1 303.10 Phi 48.21 phi2 358.03
[Grain10]
(gauss) phi1 338.26 Phi 48.11 phi2 176.78
[Grain11]
(gauss) phi1 115.17 Phi 56.54 phi2 223.84
[Grain12]
(gauss) phi1 281.04 Phi 97.48 phi2 27.94
<microstructure>
[Grain1]
crystallite 1
(constituent) phase 1 texture 1 fraction 1.0
[Grain2]
crystallite 1
(constituent) phase 1 texture 2 fraction 1.0
[Grain3]
crystallite 1
(constituent) phase 1 texture 3 fraction 1.0
[Grain4]
crystallite 1
(constituent) phase 1 texture 4 fraction 1.0
[Grain5]
crystallite 1
(constituent) phase 1 texture 5 fraction 1.0
[Grain6]
crystallite 1
(constituent) phase 1 texture 6 fraction 1.0
[Grain7]
crystallite 1
(constituent) phase 1 texture 7 fraction 1.0
[Grain8]
crystallite 1
(constituent) phase 1 texture 8 fraction 1.0
[Grain9]
crystallite 1
(constituent) phase 1 texture 9 fraction 1.0
[Grain10]
crystallite 1
(constituent) phase 1 texture 10 fraction 1.0
[Grain11]
crystallite 1
(constituent) phase 1 texture 11 fraction 1.0
[Grain12]
crystallite 1
(constituent) phase 1 texture 12 fraction 1.0
<!skip>
4 header
grid a 6 b 7 c 8
size x 0.75 y 0.875 z 1.0
origin x 0.0 y 0.0 z 0.0

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@ -0,0 +1,61 @@
4 header
grid a 6 b 7 c 8
size x 0.75 y 0.875 z 1.0
origin x 0.0 y 0.0 z 0.0
homogenization 1
3 3 3 4 3 3
3 1 1 1 3 3
3 5 1 1 1 3
1 5 5 1 1 1
1 5 5 1 1 1
6 3 3 4 1 6
6 3 3 4 4 6
6 3 3 1 3 3
3 1 1 1 3 3
3 1 1 1 1 1
1 1 1 1 1 1
6 6 3 1 1 1
6 3 3 3 6 6
6 3 3 3 6 6
6 3 3 1 1 6
3 1 1 1 1 3
6 1 1 1 2 2
1 6 2 2 2 2
6 6 2 2 2 6
6 3 3 3 6 6
6 3 3 3 6 6
5 6 6 6 1 6
6 6 6 6 2 2
6 6 6 2 2 2
2 6 2 2 2 2
6 5 2 2 2 2
6 5 5 2 2 6
5 5 5 3 6 6
5 5 6 6 6 5
6 6 6 6 6 6
6 6 6 6 2 2
4 4 6 2 2 2
4 4 2 2 2 2
5 5 5 2 2 2
5 5 5 5 2 5
5 5 5 4 4 5
6 6 6 6 4 4
4 4 5 5 2 4
4 4 5 2 2 4
4 4 2 2 2 2
5 5 5 2 2 2
5 5 5 4 4 5
5 5 4 4 4 3
4 5 5 5 4 3
4 4 5 5 5 4
4 4 5 5 2 4
4 4 2 2 2 2
5 5 2 2 2 2
5 5 4 4 4 4
3 4 4 4 4 3
3 5 5 4 3 3
4 5 5 5 3 3
4 5 5 5 1 1
4 4 5 2 1 1
6 4 4 4 4 1
3 4 4 4 4 3

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@ -124,6 +124,3 @@ a_slip 2.25
h0_slipslip 75e6
interaction_slipslip 1 1 1.4 1.4 1.4 1.4
atol_resistance 1
<crystallite>
[dummy]

View File

@ -20,6 +20,13 @@ def default(tmp_path,reference_dir):
f.pick('times',20.0)
return f
@pytest.fixture
def single_phase(tmp_path,reference_dir):
"""Single phase Result file in temp location for modification."""
fname = '6grains6x7x8_single_phase_tensionY.hdf5'
shutil.copy(os.path.join(reference_dir,fname),tmp_path)
return Result(os.path.join(tmp_path,fname))
@pytest.fixture
def reference_dir(reference_dir_base):
"""Directory containing reference results."""
@ -125,21 +132,23 @@ class TestResult:
in_file = default.read_dataset(loc['s_P'],0)
assert np.allclose(in_memory,in_file)
def test_add_eigenvalues(self,default):
@pytest.mark.parametrize('eigenvalue,function',[('max',np.amax),('min',np.amin)])
def test_add_eigenvalue(self,default,eigenvalue,function):
default.add_Cauchy('P','F')
default.add_eigenvalues('sigma')
loc = {'sigma' :default.get_dataset_location('sigma'),
'lambda(sigma)':default.get_dataset_location('lambda(sigma)')}
in_memory = mechanics.eigenvalues(default.read_dataset(loc['sigma'],0))
in_file = default.read_dataset(loc['lambda(sigma)'],0)
default.add_eigenvalue('sigma',eigenvalue)
loc = {'sigma' :default.get_dataset_location('sigma'),
'lambda':default.get_dataset_location('lambda_{}(sigma)'.format(eigenvalue))}
in_memory = function(mechanics.eigenvalues(default.read_dataset(loc['sigma'],0)),axis=1,keepdims=True)
in_file = default.read_dataset(loc['lambda'],0)
assert np.allclose(in_memory,in_file)
def test_add_eigenvectors(self,default):
@pytest.mark.parametrize('eigenvalue,idx',[('max',2),('mid',1),('min',0)])
def test_add_eigenvector(self,default,eigenvalue,idx):
default.add_Cauchy('P','F')
default.add_eigenvectors('sigma')
default.add_eigenvector('sigma',eigenvalue)
loc = {'sigma' :default.get_dataset_location('sigma'),
'v(sigma)':default.get_dataset_location('v(sigma)')}
in_memory = mechanics.eigenvectors(default.read_dataset(loc['sigma'],0))
'v(sigma)':default.get_dataset_location('v_{}(sigma)'.format(eigenvalue))}
in_memory = mechanics.eigenvectors(default.read_dataset(loc['sigma'],0))[:,idx]
in_file = default.read_dataset(loc['v(sigma)'],0)
assert np.allclose(in_memory,in_file)
@ -296,3 +305,7 @@ class TestResult:
def test_vtk(self,tmp_path,default,output):
os.chdir(tmp_path)
default.to_vtk(output)
def test_XDMF(self,tmp_path,single_phase):
os.chdir(tmp_path)
single_phase.write_XDMF