dealing with user errors/incomplete files
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@ -14,7 +14,6 @@ from collections.abc import Iterable
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import h5py
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import h5py
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import numpy as np
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import numpy as np
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import numpy.ma as ma
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import numpy.ma as ma
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from numpy.lib import recfunctions as rfn
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import damask
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import damask
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from . import VTK
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from . import VTK
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@ -111,6 +110,8 @@ class Result:
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r=re.compile('increment_[0-9]+')
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r=re.compile('increment_[0-9]+')
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self.increments = sorted([i for i in f.keys() if r.match(i)],key=util.natural_sort)
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self.increments = sorted([i for i in f.keys() if r.match(i)],key=util.natural_sort)
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self.times = [round(f[i].attrs['t/s'],12) for i in self.increments]
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self.times = [round(f[i].attrs['t/s'],12) for i in self.increments]
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if len(self.increments) == 0:
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raise ValueError('incomplete DADF5 file')
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self.N_materialpoints, self.N_constituents = np.shape(f['cell_to/phase'])
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self.N_materialpoints, self.N_constituents = np.shape(f['cell_to/phase'])
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@ -727,8 +728,8 @@ class Result:
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----------
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----------
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T_sym : str
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T_sym : str
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Name of symmetric tensor dataset.
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Name of symmetric tensor dataset.
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eigenvalue : str, optional
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eigenvalue : {'max', 'mid', 'min'}
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Eigenvalue. Select from 'max', 'mid', 'min'. Defaults to 'max'.
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Eigenvalue. Defaults to 'max'.
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"""
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"""
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self._add_generic_pointwise(self._add_eigenvalue,{'T_sym':T_sym},{'eigenvalue':eigenvalue})
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self._add_generic_pointwise(self._add_eigenvalue,{'T_sym':T_sym},{'eigenvalue':eigenvalue})
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@ -760,9 +761,9 @@ class Result:
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----------
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----------
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T_sym : str
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T_sym : str
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Name of symmetric tensor dataset.
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Name of symmetric tensor dataset.
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eigenvalue : str, optional
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eigenvalue : {'max', 'mid', 'min'}
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Eigenvalue to which the eigenvector corresponds.
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Eigenvalue to which the eigenvector corresponds.
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Select from 'max', 'mid', 'min'. Defaults to 'max'.
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Defaults to 'max'.
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"""
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"""
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self._add_generic_pointwise(self._add_eigenvector,{'T_sym':T_sym},{'eigenvalue':eigenvalue})
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self._add_generic_pointwise(self._add_eigenvector,{'T_sym':T_sym},{'eigenvalue':eigenvalue})
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@ -771,13 +772,7 @@ class Result:
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@staticmethod
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@staticmethod
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def _add_IPF_color(l,q):
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def _add_IPF_color(l,q):
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m = util.scale_to_coprime(np.array(l))
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m = util.scale_to_coprime(np.array(l))
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try:
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lattice = {'fcc':'cF','bcc':'cI','hex':'hP'}[q['meta']['lattice']]
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except KeyError:
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lattice = q['meta']['lattice']
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lattice = q['meta']['lattice']
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try:
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o = Orientation(rotation = (rfn.structured_to_unstructured(q['data'])),lattice=lattice)
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except ValueError:
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o = Orientation(rotation = q['data'],lattice=lattice)
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o = Orientation(rotation = q['data'],lattice=lattice)
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return {
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return {
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@ -901,7 +896,7 @@ class Result:
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t = 'tensor'
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t = 'tensor'
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if o is None: o = 'fro'
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if o is None: o = 'fro'
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else:
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else:
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raise ValueError
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raise ValueError(f'invalid norm order {ord}')
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return {
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return {
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'data': np.linalg.norm(x['data'],ord=o,axis=axis,keepdims=True),
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'data': np.linalg.norm(x['data'],ord=o,axis=axis,keepdims=True),
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@ -1407,6 +1402,9 @@ class Result:
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v = self.geometry0
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v = self.geometry0
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elif mode.lower()=='point':
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elif mode.lower()=='point':
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v = VTK.from_poly_data(self.coordinates0_point)
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v = VTK.from_poly_data(self.coordinates0_point)
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else:
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raise ValueError(f'invalid mode {mode}')
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v.set_comments(util.execution_stamp('Result','save_VTK'))
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v.set_comments(util.execution_stamp('Result','save_VTK'))
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N_digits = int(np.floor(np.log10(max(1,int(self.increments[-1][10:])))))+1
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N_digits = int(np.floor(np.log10(max(1,int(self.increments[-1][10:])))))+1
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