include homogenization
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@ -8,6 +8,7 @@ import xml.dom.minidom
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from pathlib import Path
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from functools import partial
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from collections import defaultdict
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from collections.abc import Iterable
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import h5py
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import numpy as np
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@ -1326,11 +1327,14 @@ class Result:
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def read(self,labels,compress=True,strip=True):
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r = {}
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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':{},'geometry':{}}
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for la in labels_.intersection(f[os.path.join(inc,'geometry')].keys()):
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r[inc]['geometry'][la] = _read(f,os.path.join(inc,'geometry',la))
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for ph in self.visible['phases']:
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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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@ -1338,6 +1342,7 @@ class Result:
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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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_read(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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@ -1358,31 +1363,36 @@ class Result:
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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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constituents_ = labels if isinstance(labels,list) else [labels] # fix
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constituents_ = constituents if isinstance(constituents,Iterable) else [constituents]
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grp = 'mapping' if self.version_minor < 12 else 'cell_to'
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name = 'Name' if self.version_minor < 12 else 'label'
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member = 'member' if self.version_minor < 12 else 'entry'
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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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at_cell_ph = []
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in_data_ph = []
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for c in constituents_:
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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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in_data_ph.append({label: f[os.path.join(grp,'phase')][member][at_cell_ph[c][label]][...,0] \
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for label in self.visible['phases']})
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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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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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in_data_ho = {label: f[os.path.join(grp,'homogenization')][member][at_cell_ho[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':{},'geometry':{}}
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for la in labels_.intersection(f[os.path.join(inc,'geometry')].keys()):
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r[inc]['geometry'][la] = _read(f,os.path.join(inc,'geometry',la))
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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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if me not in r[inc]['phase'].keys(): r[inc]['phase'][me] = {}
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@ -1390,12 +1400,29 @@ class Result:
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data = ma.array(_read(f,os.path.join(inc,'phase',ph,me,la)))
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if la not in r[inc]['phase'][me].keys():
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container = np.empty((N_cells,)+data.shape[1:],dtype=data.dtype)
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fill_value = fill_float if data.dtype in np.sctypes['float'] else fill_int
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r[inc]['phase'][me][la] = ma.array(container,fill_value=fill_value,mask=True)
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container = np.empty((self.N_materialpoints,)+data.shape[1:],dtype=data.dtype)
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fill_value = fill_float if data.dtype in np.sctypes['float'] else \
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fill_int
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r[inc]['phase'][me][la] = \
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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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for ho in self.visible['homogenizations']:
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for me in f[os.path.join(inc,'homogenization',ho)].keys():
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if me not in r[inc]['homogenization'].keys(): r[inc]['homogenization'][me] = {}
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for la in labels_.intersection(f[os.path.join(inc,'homogenization',ho,me)].keys()):
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data = ma.array(_read(f,os.path.join(inc,'homogenization',ho,me,la)))
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if la not in r[inc]['homogenization'][me].keys():
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container = np.empty((self.N_materialpoints,)+data.shape[1:],dtype=data.dtype)
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fill_value = fill_float if data.dtype in np.sctypes['float'] else \
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fill_int
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r[inc]['homogenization'][me][la] = \
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ma.array(container,fill_value=fill_value,mask=True)
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r[inc]['homogenization'][me][la][at_cell_ho[ho]] = data[in_data_ho[ho]]
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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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