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DAMASK_EICMD
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dealing with user errors/incomplete files

This commit is contained in:
Martin Diehl 2021-06-01 06:49:14 +02:00
parent 91015fd07c
commit bd10ee033e
1 changed files with 12 additions and 14 deletions
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26
python/damask/_result.py
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@ -14,7 +14,6 @@ from collections.abc import Iterable
import h5py import h5py
import numpy as np import numpy as np
import numpy.ma as ma import numpy.ma as ma
from numpy.lib import recfunctions as rfn
import damask import damask
from . import VTK from . import VTK
@ -111,6 +110,8 @@ class Result:
r=re.compile('increment_[0-9]+') r=re.compile('increment_[0-9]+')
self.increments = sorted([i for i in f.keys() if r.match(i)],key=util.natural_sort) self.increments = sorted([i for i in f.keys() if r.match(i)],key=util.natural_sort)
self.times = [round(f[i].attrs['t/s'],12) for i in self.increments] self.times = [round(f[i].attrs['t/s'],12) for i in self.increments]
if len(self.increments) == 0:
raise ValueError('incomplete DADF5 file')
self.N_materialpoints, self.N_constituents = np.shape(f['cell_to/phase']) self.N_materialpoints, self.N_constituents = np.shape(f['cell_to/phase'])
@ -727,8 +728,8 @@ class Result:
---------- ----------
T_sym : str T_sym : str
Name of symmetric tensor dataset. Name of symmetric tensor dataset.
eigenvalue : str, optional eigenvalue : {'max', 'mid', 'min'}
Eigenvalue. Select from 'max', 'mid', 'min'. Defaults to 'max'. Eigenvalue. Defaults to 'max'.
""" """
self._add_generic_pointwise(self._add_eigenvalue,{'T_sym':T_sym},{'eigenvalue':eigenvalue}) self._add_generic_pointwise(self._add_eigenvalue,{'T_sym':T_sym},{'eigenvalue':eigenvalue})
@ -760,9 +761,9 @@ class Result:
---------- ----------
T_sym : str T_sym : str
Name of symmetric tensor dataset. Name of symmetric tensor dataset.
eigenvalue : str, optional eigenvalue : {'max', 'mid', 'min'}
Eigenvalue to which the eigenvector corresponds. Eigenvalue to which the eigenvector corresponds.
Select from 'max', 'mid', 'min'. Defaults to 'max'. Defaults to 'max'.
""" """
self._add_generic_pointwise(self._add_eigenvector,{'T_sym':T_sym},{'eigenvalue':eigenvalue}) self._add_generic_pointwise(self._add_eigenvector,{'T_sym':T_sym},{'eigenvalue':eigenvalue})
@ -771,14 +772,8 @@ class Result:
@staticmethod @staticmethod
def _add_IPF_color(l,q): def _add_IPF_color(l,q):
m = util.scale_to_coprime(np.array(l)) m = util.scale_to_coprime(np.array(l))
try: lattice = q['meta']['lattice']
lattice = {'fcc':'cF','bcc':'cI','hex':'hP'}[q['meta']['lattice']] o = Orientation(rotation = q['data'],lattice=lattice)
except KeyError:
lattice = q['meta']['lattice']
try:
o = Orientation(rotation = (rfn.structured_to_unstructured(q['data'])),lattice=lattice)
except ValueError:
o = Orientation(rotation = q['data'],lattice=lattice)
return { return {
'data': np.uint8(o.IPF_color(l)*255), 'data': np.uint8(o.IPF_color(l)*255),
@ -901,7 +896,7 @@ class Result:
t = 'tensor' t = 'tensor'
if o is None: o = 'fro' if o is None: o = 'fro'
else: else:
raise ValueError raise ValueError(f'invalid norm order {ord}')
return { return {
'data': np.linalg.norm(x['data'],ord=o,axis=axis,keepdims=True), 'data': np.linalg.norm(x['data'],ord=o,axis=axis,keepdims=True),
@ -1407,6 +1402,9 @@ class Result:
v = self.geometry0 v = self.geometry0
elif mode.lower()=='point': elif mode.lower()=='point':
v = VTK.from_poly_data(self.coordinates0_point) v = VTK.from_poly_data(self.coordinates0_point)
else:
raise ValueError(f'invalid mode {mode}')
v.set_comments(util.execution_stamp('Result','save_VTK')) v.set_comments(util.execution_stamp('Result','save_VTK'))
N_digits = int(np.floor(np.log10(max(1,int(self.increments[-1][10:])))))+1 N_digits = int(np.floor(np.log10(max(1,int(self.increments[-1][10:])))))+1