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DAMASK_EICMD
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polished and added tests

This commit is contained in:
Martin Diehl 2021-04-01 15:52:43 +02:00
parent 71d1a341e4
commit 84e117c6b3
10 changed files with 77 additions and 57 deletions
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97
python/damask/_result.py
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@ -1326,7 +1326,7 @@ class Result:
v.save(f'{self.fname.stem}_inc{inc[ln:].zfill(N_digits)}')
def read(self,labels,compress=True,strip=True):
def read(self,output,compress=True,strip=True):
"""
Export data from file per phase/homogenization.
@ -1335,8 +1335,8 @@ class Result:
Parameters
----------
labels : str or list of, optional
Labels of the datasets to be read.
output : str or list of, optional
Name of the datasets to include.
compress : bool
Squeeze out dictionaries that are not needed for a unique
structure. This might be beneficial in the case of single
@ -1348,22 +1348,22 @@ class Result:
"""
r = {}
labels_ = set([labels] if isinstance(labels,str) else labels)
output_ = set([output] if isinstance(output,str) else output)
with h5py.File(self.fname,'r') as f:
for inc in util.show_progress(self.visible['increments']):
r[inc] = {'phase':{},'homogenization':{},'geometry':{}}
for la in labels_.intersection(f['/'.join((inc,'geometry'))].keys()):
r[inc]['geometry'][la] = _read(f,'/'.join((inc,'geometry',la)))
for out in output_.intersection(f['/'.join((inc,'geometry'))].keys()):
r[inc]['geometry'][out] = _read(f,'/'.join((inc,'geometry',out)))
for ty in ['phase','homogenization']:
for na in self.visible[ty+'s']:
r[inc][ty][na] = {}
for field in f['/'.join((inc,ty,na))].keys():
r[inc][ty][na][field] = {}
for la in labels_.intersection(f['/'.join((inc,ty,na,field))].keys()):
r[inc][ty][na][field][la] = _read(f,'/'.join((inc,ty,na,field,la)))
for label in self.visible[ty+'s']:
r[inc][ty][label] = {}
for field in f['/'.join((inc,ty,label))].keys():
r[inc][ty][label][field] = {}
for out in output_.intersection(f['/'.join((inc,ty,label,field))].keys()):
r[inc][ty][label][field][out] = _read(f,'/'.join((inc,ty,label,field,out)))
if strip: r = util.dict_strip(r)
if compress: r = util.dict_compress(r)
@ -1371,7 +1371,7 @@ class Result:
return r
def place(self,labels,compress=True,strip=True,constituents=None,fill_float=0.0,fill_int=0):
def place(self,output,compress=True,strip=True,constituents=None,fill_float=0.0,fill_int=0):
"""
Export data from file suitable sorted for spatial operations.
@ -1384,7 +1384,7 @@ class Result:
Parameters
----------
labels : str or list of, optional
output : str or list of, optional
Labels of the datasets to be read.
compress : bool
Squeeze out dictionaries that are not needed for a unique
@ -1403,16 +1403,17 @@ class Result:
fill_int : int
Fill value for non existent entries of integer type.
Defaults to 0.
"""
r = {}
labels_ = set([labels] if isinstance(labels,str) else labels)
output_ = set([output] if isinstance(output,str) else output)
if constituents is None:
constituents_ = range(self.N_constituents)
else:
constituents_ = constituents if isinstance(constituents,Iterable) else [constituents]
suffixes = [''] if self.N_constituents == 1 or len(constituents_) == 1 else \
suffixes = [''] if self.N_constituents == 1 or isinstance(constituents,int) else \
[f'#{c}' for c in constituents_]
grp = 'mapping' if self.version_minor < 12 else 'cell_to'
@ -1423,10 +1424,10 @@ class Result:
at_cell_ph = []
in_data_ph = []
for c in constituents_:
for c in range(self.N_constituents):
at_cell_ph.append({label: np.where(f[os.path.join(grp,'phase')][:,c][name] == label.encode())[0] \
for label in self.visible['phases']})
in_data_ph.append({label: f[os.path.join(grp,'phase')][member][at_cell_ph[c][label]][...,0] \
in_data_ph.append({label: f[os.path.join(grp,'phase')][member][at_cell_ph[c][label]][...,c] \
for label in self.visible['phases']})
at_cell_ho = {label: np.where(f[os.path.join(grp,'homogenization')][:][name] == label.encode())[0] \
@ -1437,45 +1438,41 @@ class Result:
for inc in util.show_progress(self.visible['increments']):
r[inc] = {'phase':{},'homogenization':{},'geometry':{}}
for la in labels_.intersection(f[os.path.join(inc,'geometry')].keys()):
r[inc]['geometry'][la] = _read(f,os.path.join(inc,'geometry',la))
for out in output_.intersection(f[os.path.join(inc,'geometry')].keys()):
r[inc]['geometry'][out] = _read(f,os.path.join(inc,'geometry',out))
for ph in self.visible['phases']:
for field in f[os.path.join(inc,'phase',ph)].keys():
if field not in r[inc]['phase'].keys():
r[inc]['phase'][field] = {}
for ty in ['phase','homogenization']:
for label in self.visible[ty+'s']:
for field in f[os.path.join(inc,ty,label)].keys():
if field not in r[inc][ty].keys():
r[inc][ty][field] = {}
for la in labels_.intersection(f[os.path.join(inc,'phase',ph,field)].keys()):
data = ma.array(_read(f,os.path.join(inc,'phase',ph,field,la)))
for out in output_.intersection(f[os.path.join(inc,ty,label,field)].keys()):
data = ma.array(_read(f,os.path.join(inc,ty,label,field,out)))
if la+suffixes[0] not in r[inc]['phase'][field].keys():
container = np.empty((self.N_materialpoints,)+data.shape[1:],dtype=data.dtype)
fill_value = fill_float if data.dtype in np.sctypes['float'] else \
fill_int
for c,suffix in zip(constituents_, suffixes):
r[inc]['phase'][field][la+suffix] = \
ma.array(container,fill_value=fill_value,mask=True)
if ty == 'phase':
if out+suffixes[0] not in r[inc][ty][field].keys():
container = np.empty((self.N_materialpoints,)+data.shape[1:],dtype=data.dtype)
fill_value = fill_float if data.dtype in np.sctypes['float'] else \
fill_int
for c,suffix in zip(constituents_, suffixes):
r[inc][ty][field][out+suffix] = \
ma.array(container,fill_value=fill_value,mask=True)
for c,suffix in zip(constituents_, suffixes):
r[inc]['phase'][field][la+suffix][at_cell_ph[c][ph]] = data[in_data_ph[c][ph]]
for c,suffix in zip(constituents_, suffixes):
r[inc][ty][field][out+suffix][at_cell_ph[c][label]] = data[in_data_ph[c][label]]
for ho in self.visible['homogenizations']:
for field in f[os.path.join(inc,'homogenization',ho)].keys():
if field not in r[inc]['homogenization'].keys():
r[inc]['homogenization'][field] = {}
if ty == 'homogenization':
if out not in r[inc][ty][field].keys():
container = np.empty((self.N_materialpoints,)+data.shape[1:],dtype=data.dtype)
fill_value = fill_float if data.dtype in np.sctypes['float'] else \
fill_int
r[inc][ty][field][out] = \
ma.array(container,fill_value=fill_value,mask=True)
for la in labels_.intersection(f[os.path.join(inc,'homogenization',ho,field)].keys()):
data = ma.array(_read(f,os.path.join(inc,'homogenization',ho,field,la)))
if la not in r[inc]['homogenization'][field].keys():
container = np.empty((self.N_materialpoints,)+data.shape[1:],dtype=data.dtype)
fill_value = fill_float if data.dtype in np.sctypes['float'] else \
fill_int
r[inc]['homogenization'][field][la] = \
ma.array(container,fill_value=fill_value,mask=True)
r[inc]['homogenization'][field][la][at_cell_ho[ho]] = data[in_data_ho[ho]]
r[inc][ty][field][out][at_cell_ho[label]] = data[in_data_ho[label]]
if strip: r = util.dict_strip(r)
if compress: r = util.dict_compress(r)
return r

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37
python/tests/test_Result.py
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@ -401,7 +401,7 @@ class TestResult:
with pytest.raises(TypeError):
default.save_XDMF()
@pytest.mark.parametrize('view,labels,compress,strip',
@pytest.mark.parametrize('view,output,compress,strip',
[({},['F','P','F','L_p','F_e','F_p'],True,True),
({'increments':3},'F',True,True),
({'increments':[1,8,3,4,5,6,7]},['F','P'],True,True),
@ -411,18 +411,41 @@ class TestResult:
({'phases':False},['Delta_V'],True,True),
({},['u_p','u_n'],False,False)],
ids=list(range(8)))
def test_read(self,update,request,ref_path,view,labels,compress,strip):
def test_read(self,update,request,ref_path,view,output,compress,strip):
result = Result(ref_path/'4grains2x4x3_compressionY.hdf5')
for key,value in view.items():
result.view(key,value)
N = request.node.name[8:].split('[')[1].split(']')[0]
cur = result.read(labels,compress,strip)
cur = result.read(output,compress,strip)
if update:
with bz2.BZ2File(ref_path/f'read_{N}.pbz2','w') as f:
pickle.dump(cur,f)
with bz2.BZ2File(ref_path/f'read_{N}.pbz2') as f:
ref = pickle.load(f)
assert dict_equal(cur,ref)
assert dict_equal(cur,pickle.load(f))
@pytest.mark.parametrize('view,output,compress,constituents,strip',
[({},['F','P','F','L_p','F_e','F_p'],True,True,None),
({'increments':3},'F',True,True,[0,1,2,3,4,5,6,7]),
({'increments':[1,8,3,4,5,6,7]},['F','P'],True,True,1),
({'phases':['A','B']},['F','P'],True,True,[1,2]),
({'phases':['A','C'],'homogenizations':False},['F','P','O'],True,True,[0,7]),
({'phases':False,'homogenizations':False},['F','P','O'],True,True,[1,2,3,4]),
({'phases':False},['Delta_V'],True,True,[1,2,4]),
({},['u_p','u_n'],False,False,None)],
ids=list(range(8)))
def test_place(self,update,request,ref_path,view,output,compress,strip,constituents):
result = Result(ref_path/'4grains2x4x3_compressionY.hdf5')
for key,value in view.items():
result.view(key,value)
N = request.node.name[8:].split('[')[1].split(']')[0]
cur = result.place(output,compress,strip,constituents)
if update:
with bz2.BZ2File(ref_path/f'place_{N}.pbz2','w') as f:
pickle.dump(cur,f)
with bz2.BZ2File(ref_path/f'place_{N}.pbz2') as f:
assert dict_equal(cur,pickle.load(f))