parent
60119c1300
commit
eebb050a64
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@ -16,7 +16,6 @@ from numpy.lib import recfunctions as rfn
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import damask
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from . import VTK
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from . import Table
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from . import Orientation
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from . import grid_filters
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from . import mechanics
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@ -1320,7 +1319,7 @@ class Result:
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def read(self,labels,compress=True,strip=True):
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r = {}
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labels_ = [labels] if isinstance(labels,str) else labels
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labels_ = set([labels] if isinstance(labels,str) else labels)
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with h5py.File(self.fname,'r') as f:
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for inc in util.show_progress(self.visible['increments']):
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r[inc] = {'phase':{},'homogenization':{}}
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@ -1328,28 +1327,26 @@ class Result:
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r[inc]['phase'][ph] = {}
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for me in f[os.path.join(inc,'phase',ph)].keys():
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r[inc]['phase'][ph][me] = {}
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for da in f[os.path.join(inc,'phase',ph,me)].keys():
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if da in labels_:
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r[inc]['phase'][ph][me][da] = \
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f[os.path.join(inc,'phase',ph,me,da)][()]
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for la in labels_.intersection(f[os.path.join(inc,'phase',ph,me)].keys()):
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r[inc]['phase'][ph][me][la] = \
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f[os.path.join(inc,'phase',ph,me,la)][()]
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for ho in self.visible['homogenizations']:
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r[inc]['homogenization'][ho] = {}
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for me in f[os.path.join(inc,'homogenization',ho)].keys():
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r[inc]['homogenization'][ho][me] = {}
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for da in f[os.path.join(inc,'homogenization',ho,me)].keys():
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if da in labels_:
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r[inc]['homogenization'][ho][me][da] = \
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f[os.path.join(inc,'homogenization',ho,me,da)][()]
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for la in labels_.intersection(f[os.path.join(inc,'homogenization',ho,me)].keys()):
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r[inc]['homogenization'][ho][me][la] = \
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f[os.path.join(inc,'homogenization',ho,me,la)][()]
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if strip: r = util.dict_strip(r)
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if compress: r = util.dict_compress(r)
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return r
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def place(self,labels,compress=True,strip=True,constituents=None,fill_int=0,fill_float=0.0):
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def place(self,labels,compress=True,strip=True,constituents=None,fill_value=0.0):
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r = {}
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labels_ = [labels] if isinstance(labels,str) else labels
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labels_ = set([labels] if isinstance(labels,str) else labels)
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if constituents is None:
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constituents_ = range(self.N_constituents)
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else:
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@ -1362,32 +1359,40 @@ class Result:
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with h5py.File(self.fname,'r') as f:
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N_cells = self.cells.prod() if self.structured else np.shape(f['/geometry/T_c'])[0]
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to_cell_ph = []
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at_cell_ph = []
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in_data_ph = []
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for c in constituents_:
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to_cell_ph.append({label: np.where(f[os.path.join(grp,'phase')][:,c][name] == str.encode(label))[0] \
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at_cell_ph.append({label: np.where(f[os.path.join(grp,'phase')][:,c][name] == str.encode(label))[0] \
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for label in self.visible['phases']})
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in_data_ph.append({label: f[os.path.join(grp,'phase')]['entry'][at_cell_ph[c][label]][...,0] \
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for label in self.visible['phases']})
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to_cell_ho = {label: np.where(f[os.path.join(grp,'homogenization')][name] == str.encode(label))[0] \
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for label in self.visible['homogenizations']}
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for inc in util.show_progress(self.visible['increments'],len(self.visible['increments'])):
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#at_cell_ho = {label: np.where(f[os.path.join(grp,'homogenization')][name] == str.encode(label))[0] \
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# for label in self.visible['homogenizations']}
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c = 0
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for inc in util.show_progress(self.visible['increments']):
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r[inc] = {'phase':{},'homogenization':{}}
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for ph in self.visible['phases']:
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for me in f[os.path.join(inc,'phase',ph)].keys():
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r[inc]['phase'][me] = {}
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for da in f[os.path.join(inc,'phase',ph,me)].keys():
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if da in labels_:
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data = f[os.path.join(inc,'phase',ph,me,da)][()]
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if me not in r[inc]['phase'].keys(): r[inc]['phase'][me] = {}
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for la in labels_.intersection(f[os.path.join(inc,'phase',ph,me)].keys()):
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data = ma.array(f[os.path.join(inc,'phase',ph,me,la)])
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unit = f[os.path.join(inc,'phase',ph,me,da)].attrs['unit']
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description = f[os.path.join(inc,'phase',ph,me,da)].attrs['description']
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unit = f[os.path.join(inc,'phase',ph,me,la)].attrs['unit']
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description = f[os.path.join(inc,'phase',ph,me,la)].attrs['description']
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if not h5py3:
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description = description.decode()
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unit = unit.decode()
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if da not in r[inc]['phase'][me].keys():
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dt = np.dtype(data.dtype,metadata={'description':description,
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'unit':unit})
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r[inc]['phase'][me][da] = ma.empty((N_cells,)+data.shape[1:],dtype=dt)
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if la not in r[inc]['phase'][me].keys():
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dt = np.dtype(data.dtype,metadata={'description':description, 'unit':unit})
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container = np.empty((N_cells,)+data.shape[1:],dtype=dt)
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r[inc]['phase'][me][la] = ma.array(container,fill_value=fill_value,mask=True)
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r[inc]['phase'][me][la][at_cell_ph[c][ph]] = data[in_data_ph[c][ph]]
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if strip: r = util.dict_strip(r)
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if compress: r = util.dict_compress(r)
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return r
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