Merge branch 'PythonImprovements' into no-crystallite
This commit is contained in:
commit
b937ed594b
|
@ -65,7 +65,7 @@ for filename in options.filenames:
|
|||
x = results.get_dataset_location(label)
|
||||
if len(x) == 0:
|
||||
continue
|
||||
array = results.read_dataset(x,0)
|
||||
array = results.read_dataset(x,0,plain=True)
|
||||
d = int(np.product(np.shape(array)[1:]))
|
||||
data = np.concatenate((data,np.reshape(array,[np.product(results.grid),d])),1)
|
||||
|
||||
|
@ -80,7 +80,7 @@ for filename in options.filenames:
|
|||
x = results.get_dataset_location(label)
|
||||
if len(x) == 0:
|
||||
continue
|
||||
array = results.read_dataset(x,0)
|
||||
array = results.read_dataset(x,0,plain=True)
|
||||
d = int(np.product(np.shape(array)[1:]))
|
||||
data = np.concatenate((data,np.reshape(array,[np.product(results.grid),d])),1)
|
||||
|
||||
|
|
|
@ -5,9 +5,6 @@ import sys
|
|||
from io import StringIO
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||||
from optparse import OptionParser
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||||
|
||||
from scipy import ndimage
|
||||
import numpy as np
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||||
|
||||
import damask
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||||
|
||||
|
||||
|
@ -15,11 +12,6 @@ scriptName = os.path.splitext(os.path.basename(__file__))[0]
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|||
scriptID = ' '.join([scriptName,damask.version])
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||||
|
||||
|
||||
def mostFrequent(arr):
|
||||
unique, inverse = np.unique(arr, return_inverse=True)
|
||||
return unique[np.argmax(np.bincount(inverse))]
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||||
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||||
|
||||
#--------------------------------------------------------------------------------------------------
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||||
# MAIN
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||||
#--------------------------------------------------------------------------------------------------
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||||
|
@ -46,9 +38,8 @@ for name in filenames:
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|||
|
||||
geom = damask.Geom.from_file(StringIO(''.join(sys.stdin.read())) if name is None else name)
|
||||
|
||||
damask.util.croak(geom.update(ndimage.filters.generic_filter(
|
||||
geom.microstructure,mostFrequent,
|
||||
size=(options.stencil,)*3).astype(geom.microstructure.dtype)))
|
||||
damask.util.croak(geom.clean(options.stencil))
|
||||
|
||||
geom.add_comments(scriptID + ' ' + ' '.join(sys.argv[1:]))
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||||
|
||||
if name is None:
|
||||
|
|
|
@ -5,8 +5,6 @@ import sys
|
|||
from io import StringIO
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||||
from optparse import OptionParser
|
||||
|
||||
import numpy as np
|
||||
|
||||
import damask
|
||||
|
||||
|
||||
|
@ -38,16 +36,6 @@ parser.set_defaults(reflect = False)
|
|||
|
||||
(options, filenames) = parser.parse_args()
|
||||
|
||||
if options.directions is None:
|
||||
parser.error('no direction given.')
|
||||
|
||||
if not set(options.directions).issubset(validDirections):
|
||||
invalidDirections = [str(e) for e in set(options.directions).difference(validDirections)]
|
||||
parser.error('invalid directions {}. '.format(*invalidDirections))
|
||||
|
||||
limits = [None,None] if options.reflect else [-2,0]
|
||||
|
||||
|
||||
if filenames == []: filenames = [None]
|
||||
|
||||
for name in filenames:
|
||||
|
@ -55,15 +43,7 @@ for name in filenames:
|
|||
|
||||
geom = damask.Geom.from_file(StringIO(''.join(sys.stdin.read())) if name is None else name)
|
||||
|
||||
microstructure = geom.get_microstructure()
|
||||
if 'z' in options.directions:
|
||||
microstructure = np.concatenate([microstructure,microstructure[:,:,limits[0]:limits[1]:-1]],2)
|
||||
if 'y' in options.directions:
|
||||
microstructure = np.concatenate([microstructure,microstructure[:,limits[0]:limits[1]:-1,:]],1)
|
||||
if 'x' in options.directions:
|
||||
microstructure = np.concatenate([microstructure,microstructure[limits[0]:limits[1]:-1,:,:]],0)
|
||||
|
||||
damask.util.croak(geom.update(microstructure,rescale=True))
|
||||
damask.util.croak(geom.mirror(options.directions,options.reflect))
|
||||
geom.add_comments(scriptID + ' ' + ' '.join(sys.argv[1:]))
|
||||
|
||||
if name is None:
|
||||
|
|
|
@ -2,7 +2,7 @@
|
|||
import os
|
||||
|
||||
with open(os.path.join(os.path.dirname(__file__),'VERSION')) as f:
|
||||
version = f.readline()[1:-1]
|
||||
version = f.readline()[1:-1]
|
||||
|
||||
name = 'damask'
|
||||
|
||||
|
|
|
@ -2,7 +2,7 @@ import os
|
|||
import sys
|
||||
import re
|
||||
import shlex
|
||||
from collections import Iterable
|
||||
from collections.abc import Iterable
|
||||
|
||||
import numpy as np
|
||||
|
||||
|
@ -15,7 +15,7 @@ except NameError:
|
|||
|
||||
# ------------------------------------------------------------------
|
||||
class ASCIItable():
|
||||
"""Read and write to ASCII tables"""
|
||||
"""Read and write to ASCII tables."""
|
||||
|
||||
tmpext = '_tmp' # filename extension for in-place access
|
||||
|
||||
|
@ -27,6 +27,7 @@ class ASCIItable():
|
|||
labeled = True, # assume table has labels
|
||||
readonly = False, # no reading from file
|
||||
):
|
||||
"""Read and write to ASCII tables."""
|
||||
self.__IO__ = {'output': [],
|
||||
'buffered': buffered,
|
||||
'labeled': labeled, # header contains labels
|
||||
|
@ -72,7 +73,7 @@ class ASCIItable():
|
|||
# ------------------------------------------------------------------
|
||||
def _removeCRLF(self,
|
||||
string):
|
||||
"""Delete any carriage return and line feed from string"""
|
||||
"""Delete any carriage return and line feed from string."""
|
||||
try:
|
||||
return string.replace('\n','').replace('\r','')
|
||||
except AttributeError:
|
||||
|
@ -82,7 +83,7 @@ class ASCIItable():
|
|||
# ------------------------------------------------------------------
|
||||
def _quote(self,
|
||||
what):
|
||||
"""Quote empty or white space-containing output"""
|
||||
"""Quote empty or white space-containing output."""
|
||||
return '{quote}{content}{quote}'.format(
|
||||
quote = ('"' if str(what)=='' or re.search(r"\s",str(what)) else ''),
|
||||
content = what)
|
||||
|
@ -103,7 +104,7 @@ class ASCIItable():
|
|||
# ------------------------------------------------------------------
|
||||
def output_write(self,
|
||||
what):
|
||||
"""Aggregate a single row (string) or list of (possibly containing further lists of) rows into output"""
|
||||
"""Aggregate a single row (string) or list of (possibly containing further lists of) rows into output."""
|
||||
if isinstance(what, (str, unicode)):
|
||||
self.__IO__['output'] += [what]
|
||||
else:
|
||||
|
@ -143,7 +144,7 @@ class ASCIItable():
|
|||
# ------------------------------------------------------------------
|
||||
def head_read(self):
|
||||
"""
|
||||
Get column labels
|
||||
Get column labels.
|
||||
|
||||
by either reading the first row or,
|
||||
if keyword "head[*]" is present, the last line of the header
|
||||
|
@ -154,7 +155,7 @@ class ASCIItable():
|
|||
pass
|
||||
|
||||
firstline = self.__IO__['in'].readline().strip()
|
||||
m = re.search('(\d+)\s+head', firstline.lower()) # search for "head" keyword
|
||||
m = re.search(r'(\d+)\s+head', firstline.lower()) # search for "head" keyword
|
||||
|
||||
if m: # proper ASCIItable format
|
||||
|
||||
|
@ -194,7 +195,7 @@ class ASCIItable():
|
|||
# ------------------------------------------------------------------
|
||||
def head_write(self,
|
||||
header = True):
|
||||
"""Write current header information (info + labels)"""
|
||||
"""Write current header information (info + labels)."""
|
||||
head = ['{}\theader'.format(len(self.info)+self.__IO__['labeled'])] if header else []
|
||||
head.append(self.info)
|
||||
if self.__IO__['labeled']:
|
||||
|
@ -205,7 +206,7 @@ class ASCIItable():
|
|||
|
||||
# ------------------------------------------------------------------
|
||||
def head_getGeom(self):
|
||||
"""Interpret geom header"""
|
||||
"""Interpret geom header."""
|
||||
identifiers = {
|
||||
'grid': ['a','b','c'],
|
||||
'size': ['x','y','z'],
|
||||
|
@ -247,7 +248,7 @@ class ASCIItable():
|
|||
def labels_append(self,
|
||||
what,
|
||||
reset = False):
|
||||
"""Add item or list to existing set of labels (and switch on labeling)"""
|
||||
"""Add item or list to existing set of labels (and switch on labeling)."""
|
||||
if isinstance(what, (str, unicode)):
|
||||
self.tags += [self._removeCRLF(what)]
|
||||
else:
|
||||
|
@ -261,7 +262,7 @@ class ASCIItable():
|
|||
|
||||
# ------------------------------------------------------------------
|
||||
def labels_clear(self):
|
||||
"""Delete existing labels and switch to no labeling"""
|
||||
"""Delete existing labels and switch to no labeling."""
|
||||
self.tags = []
|
||||
self.__IO__['labeled'] = False
|
||||
|
||||
|
@ -392,7 +393,7 @@ class ASCIItable():
|
|||
# ------------------------------------------------------------------
|
||||
def info_append(self,
|
||||
what):
|
||||
"""Add item or list to existing set of infos"""
|
||||
"""Add item or list to existing set of infos."""
|
||||
if isinstance(what, (str, unicode)):
|
||||
self.info += [self._removeCRLF(what)]
|
||||
else:
|
||||
|
@ -403,7 +404,7 @@ class ASCIItable():
|
|||
|
||||
# ------------------------------------------------------------------
|
||||
def info_clear(self):
|
||||
"""Delete any info block"""
|
||||
"""Delete any info block."""
|
||||
self.info = []
|
||||
|
||||
# ------------------------------------------------------------------
|
||||
|
@ -416,7 +417,7 @@ class ASCIItable():
|
|||
# ------------------------------------------------------------------
|
||||
def data_skipLines(self,
|
||||
count):
|
||||
"""Wind forward by count number of lines"""
|
||||
"""Wind forward by count number of lines."""
|
||||
for i in range(count):
|
||||
alive = self.data_read()
|
||||
|
||||
|
@ -426,7 +427,7 @@ class ASCIItable():
|
|||
def data_read(self,
|
||||
advance = True,
|
||||
respectLabels = True):
|
||||
"""Read next line (possibly buffered) and parse it into data array"""
|
||||
"""Read next line (possibly buffered) and parse it into data array."""
|
||||
self.line = self.__IO__['readBuffer'].pop(0) if len(self.__IO__['readBuffer']) > 0 \
|
||||
else self.__IO__['in'].readline().strip() # take buffered content or get next data row from file
|
||||
|
||||
|
@ -446,9 +447,11 @@ class ASCIItable():
|
|||
# ------------------------------------------------------------------
|
||||
def data_readArray(self,
|
||||
labels = []):
|
||||
"""Read whole data of all (given) labels as numpy array"""
|
||||
try: self.data_rewind() # try to wind back to start of data
|
||||
except: pass # assume/hope we are at data start already...
|
||||
"""Read whole data of all (given) labels as numpy array."""
|
||||
try:
|
||||
self.data_rewind() # try to wind back to start of data
|
||||
except IOError:
|
||||
pass # assume/hope we are at data start already...
|
||||
|
||||
if labels is None or labels == []:
|
||||
use = None # use all columns (and keep labels intact)
|
||||
|
@ -480,7 +483,7 @@ class ASCIItable():
|
|||
# ------------------------------------------------------------------
|
||||
def data_write(self,
|
||||
delimiter = '\t'):
|
||||
"""Write current data array and report alive output back"""
|
||||
"""Write current data array and report alive output back."""
|
||||
if len(self.data) == 0: return True
|
||||
|
||||
if isinstance(self.data[0],list):
|
||||
|
@ -492,16 +495,16 @@ class ASCIItable():
|
|||
def data_writeArray(self,
|
||||
fmt = None,
|
||||
delimiter = '\t'):
|
||||
"""Write whole numpy array data"""
|
||||
"""Write whole numpy array data."""
|
||||
for row in self.data:
|
||||
try:
|
||||
output = [fmt % value for value in row] if fmt else list(map(repr,row))
|
||||
except:
|
||||
except Exception:
|
||||
output = [fmt % row] if fmt else [repr(row)]
|
||||
|
||||
try:
|
||||
self.__IO__['out'].write(delimiter.join(output) + '\n')
|
||||
except:
|
||||
except Exception:
|
||||
pass
|
||||
|
||||
# ------------------------------------------------------------------
|
||||
|
@ -545,7 +548,7 @@ class ASCIItable():
|
|||
grid,
|
||||
type = 'i',
|
||||
strict = False):
|
||||
"""Read microstructure data (from .geom format)"""
|
||||
"""Read microstructure data (from .geom format)."""
|
||||
def datatype(item):
|
||||
return int(item) if type.lower() == 'i' else float(item)
|
||||
|
||||
|
|
|
@ -369,7 +369,7 @@ class DADF5():
|
|||
return f[self.get_dataset_location('orientation')[0]].attrs['Lattice'].astype('str') # np.bytes_ to string
|
||||
|
||||
|
||||
def read_dataset(self,path,c):
|
||||
def read_dataset(self,path,c=0,plain=False):
|
||||
"""
|
||||
Dataset for all points/cells.
|
||||
|
||||
|
@ -402,7 +402,7 @@ class DADF5():
|
|||
a=a.reshape([a.shape[0],1])
|
||||
dataset[p,:] = a[u,:]
|
||||
|
||||
return dataset
|
||||
return dataset if not plain else dataset.view(('float64',len(dataset.dtype.names)))
|
||||
|
||||
|
||||
def cell_coordinates(self):
|
||||
|
@ -620,7 +620,7 @@ class DADF5():
|
|||
raise ValueError
|
||||
|
||||
return {
|
||||
'data': mechanics.deviator(x['data']),
|
||||
'data': mechanics.deviatoric_part(x['data']),
|
||||
'label': 's_{}'.format(x['label']),
|
||||
'meta': {
|
||||
'Unit': x['meta']['Unit'],
|
||||
|
|
|
@ -2,6 +2,7 @@ import os
|
|||
from io import StringIO
|
||||
|
||||
import numpy as np
|
||||
from scipy import ndimage
|
||||
import vtk
|
||||
from vtk.util import numpy_support
|
||||
|
||||
|
@ -10,380 +11,429 @@ from . import version
|
|||
|
||||
|
||||
class Geom():
|
||||
"""Geometry definition for grid solvers."""
|
||||
"""Geometry definition for grid solvers."""
|
||||
|
||||
def __init__(self,microstructure,size,origin=[0.0,0.0,0.0],homogenization=1,comments=[]):
|
||||
"""
|
||||
New geometry definition from array of microstructures and size.
|
||||
def __init__(self,microstructure,size,origin=[0.0,0.0,0.0],homogenization=1,comments=[]):
|
||||
"""
|
||||
New geometry definition from array of microstructures and size.
|
||||
|
||||
Parameters
|
||||
----------
|
||||
microstructure : numpy.ndarray
|
||||
microstructure array (3D)
|
||||
size : list or numpy.ndarray
|
||||
physical size of the microstructure in meter.
|
||||
origin : list or numpy.ndarray, optional
|
||||
physical origin of the microstructure in meter.
|
||||
homogenization : integer, optional
|
||||
homogenization index.
|
||||
comments : list of str, optional
|
||||
comments lines.
|
||||
Parameters
|
||||
----------
|
||||
microstructure : numpy.ndarray
|
||||
microstructure array (3D)
|
||||
size : list or numpy.ndarray
|
||||
physical size of the microstructure in meter.
|
||||
origin : list or numpy.ndarray, optional
|
||||
physical origin of the microstructure in meter.
|
||||
homogenization : integer, optional
|
||||
homogenization index.
|
||||
comments : list of str, optional
|
||||
comments lines.
|
||||
|
||||
"""
|
||||
self.__transforms__ = \
|
||||
self.set_microstructure(microstructure)
|
||||
self.set_size(size)
|
||||
self.set_origin(origin)
|
||||
self.set_homogenization(homogenization)
|
||||
self.set_comments(comments)
|
||||
|
||||
|
||||
def __repr__(self):
|
||||
"""Basic information on geometry definition."""
|
||||
return util.srepr([
|
||||
'grid a b c: {}'.format(' x '.join(map(str,self.get_grid ()))),
|
||||
'size x y z: {}'.format(' x '.join(map(str,self.get_size ()))),
|
||||
'origin x y z: {}'.format(' '.join(map(str,self.get_origin()))),
|
||||
'homogenization: {}'.format(self.get_homogenization()),
|
||||
'# microstructures: {}'.format(len(np.unique(self.microstructure))),
|
||||
'max microstructure: {}'.format(np.nanmax(self.microstructure)),
|
||||
])
|
||||
|
||||
def update(self,microstructure=None,size=None,origin=None,rescale=False):
|
||||
"""
|
||||
Updates microstructure and size.
|
||||
|
||||
Parameters
|
||||
----------
|
||||
microstructure : numpy.ndarray, optional
|
||||
microstructure array (3D).
|
||||
size : list or numpy.ndarray, optional
|
||||
physical size of the microstructure in meter.
|
||||
origin : list or numpy.ndarray, optional
|
||||
physical origin of the microstructure in meter.
|
||||
rescale : bool, optional
|
||||
ignore size parameter and rescale according to change of grid points.
|
||||
|
||||
"""
|
||||
grid_old = self.get_grid()
|
||||
size_old = self.get_size()
|
||||
origin_old = self.get_origin()
|
||||
unique_old = len(np.unique(self.microstructure))
|
||||
max_old = np.nanmax(self.microstructure)
|
||||
|
||||
if size is not None and rescale:
|
||||
raise ValueError('Either set size explicitly or rescale automatically')
|
||||
|
||||
self.set_microstructure(microstructure)
|
||||
self.set_origin(origin)
|
||||
|
||||
if size is not None:
|
||||
self.set_size(size)
|
||||
elif rescale:
|
||||
self.set_size(self.get_grid()/grid_old*self.size)
|
||||
|
||||
message = ['grid a b c: {}'.format(' x '.join(map(str,grid_old)))]
|
||||
if np.any(grid_old != self.get_grid()):
|
||||
message[-1] = util.delete(message[-1])
|
||||
message.append(util.emph('grid a b c: {}'.format(' x '.join(map(str,self.get_grid())))))
|
||||
|
||||
message.append('size x y z: {}'.format(' x '.join(map(str,size_old))))
|
||||
if np.any(size_old != self.get_size()):
|
||||
message[-1] = util.delete(message[-1])
|
||||
message.append(util.emph('size x y z: {}'.format(' x '.join(map(str,self.get_size())))))
|
||||
|
||||
message.append('origin x y z: {}'.format(' '.join(map(str,origin_old))))
|
||||
if np.any(origin_old != self.get_origin()):
|
||||
message[-1] = util.delete(message[-1])
|
||||
message.append(util.emph('origin x y z: {}'.format(' '.join(map(str,self.get_origin())))))
|
||||
|
||||
message.append('homogenization: {}'.format(self.get_homogenization()))
|
||||
|
||||
message.append('# microstructures: {}'.format(unique_old))
|
||||
if unique_old != len(np.unique(self.microstructure)):
|
||||
message[-1] = util.delete(message[-1])
|
||||
message.append(util.emph('# microstructures: {}'.format(len(np.unique(self.microstructure)))))
|
||||
|
||||
message.append('max microstructure: {}'.format(max_old))
|
||||
if max_old != np.nanmax(self.microstructure):
|
||||
message[-1] = util.delete(message[-1])
|
||||
message.append(util.emph('max microstructure: {}'.format(np.nanmax(self.microstructure))))
|
||||
|
||||
return util.return_message(message)
|
||||
|
||||
def set_comments(self,comments):
|
||||
"""
|
||||
Replaces all existing comments.
|
||||
|
||||
Parameters
|
||||
----------
|
||||
comments : list of str
|
||||
new comments.
|
||||
|
||||
"""
|
||||
self.comments = []
|
||||
self.add_comments(comments)
|
||||
|
||||
def add_comments(self,comments):
|
||||
"""
|
||||
Appends comments to existing comments.
|
||||
|
||||
Parameters
|
||||
----------
|
||||
comments : list of str
|
||||
new comments.
|
||||
|
||||
"""
|
||||
self.comments += [str(c) for c in comments] if isinstance(comments,list) else [str(comments)]
|
||||
|
||||
def set_microstructure(self,microstructure):
|
||||
"""
|
||||
Replaces the existing microstructure representation.
|
||||
|
||||
Parameters
|
||||
----------
|
||||
microstructure : numpy.ndarray
|
||||
microstructure array (3D).
|
||||
|
||||
"""
|
||||
if microstructure is not None:
|
||||
if len(microstructure.shape) != 3:
|
||||
raise ValueError('Invalid microstructure shape {}'.format(*microstructure.shape))
|
||||
elif microstructure.dtype not in np.sctypes['float'] + np.sctypes['int']:
|
||||
raise TypeError('Invalid data type {} for microstructure'.format(microstructure.dtype))
|
||||
else:
|
||||
self.microstructure = np.copy(microstructure)
|
||||
|
||||
def set_size(self,size):
|
||||
"""
|
||||
Replaces the existing size information.
|
||||
|
||||
Parameters
|
||||
----------
|
||||
size : list or numpy.ndarray
|
||||
physical size of the microstructure in meter.
|
||||
|
||||
"""
|
||||
if size is None:
|
||||
grid = np.asarray(self.microstructure.shape)
|
||||
self.size = grid/np.max(grid)
|
||||
else:
|
||||
if len(size) != 3 or any(np.array(size)<=0):
|
||||
raise ValueError('Invalid size {}'.format(*size))
|
||||
else:
|
||||
self.size = np.array(size)
|
||||
|
||||
def set_origin(self,origin):
|
||||
"""
|
||||
Replaces the existing origin information.
|
||||
|
||||
Parameters
|
||||
----------
|
||||
origin : list or numpy.ndarray
|
||||
physical origin of the microstructure in meter
|
||||
|
||||
"""
|
||||
if origin is not None:
|
||||
if len(origin) != 3:
|
||||
raise ValueError('Invalid origin {}'.format(*origin))
|
||||
else:
|
||||
self.origin = np.array(origin)
|
||||
|
||||
def set_homogenization(self,homogenization):
|
||||
"""
|
||||
Replaces the existing homogenization index.
|
||||
|
||||
Parameters
|
||||
----------
|
||||
homogenization : integer
|
||||
homogenization index
|
||||
|
||||
"""
|
||||
if homogenization is not None:
|
||||
if not isinstance(homogenization,int) or homogenization < 1:
|
||||
raise TypeError('Invalid homogenization {}'.format(homogenization))
|
||||
else:
|
||||
self.homogenization = homogenization
|
||||
|
||||
|
||||
def get_microstructure(self):
|
||||
"""Return the microstructure representation."""
|
||||
return np.copy(self.microstructure)
|
||||
|
||||
def get_size(self):
|
||||
"""Return the physical size in meter."""
|
||||
return np.copy(self.size)
|
||||
|
||||
def get_origin(self):
|
||||
"""Return the origin in meter."""
|
||||
return np.copy(self.origin)
|
||||
|
||||
def get_grid(self):
|
||||
"""Return the grid discretization."""
|
||||
return np.array(self.microstructure.shape)
|
||||
|
||||
def get_homogenization(self):
|
||||
"""Return the homogenization index."""
|
||||
return self.homogenization
|
||||
|
||||
def get_comments(self):
|
||||
"""Return the comments."""
|
||||
return self.comments[:]
|
||||
|
||||
def get_header(self):
|
||||
"""Return the full header (grid, size, origin, homogenization, comments)."""
|
||||
header = ['{} header'.format(len(self.comments)+4)] + self.comments
|
||||
header.append('grid a {} b {} c {}'.format(*self.get_grid()))
|
||||
header.append('size x {} y {} z {}'.format(*self.get_size()))
|
||||
header.append('origin x {} y {} z {}'.format(*self.get_origin()))
|
||||
header.append('homogenization {}'.format(self.get_homogenization()))
|
||||
return header
|
||||
"""
|
||||
self.set_microstructure(microstructure)
|
||||
self.set_size(size)
|
||||
self.set_origin(origin)
|
||||
self.set_homogenization(homogenization)
|
||||
self.set_comments(comments)
|
||||
|
||||
@classmethod
|
||||
def from_file(cls,fname):
|
||||
"""
|
||||
Reads a geom file.
|
||||
|
||||
Parameters
|
||||
----------
|
||||
fname : str or file handle
|
||||
geometry file to read.
|
||||
def __repr__(self):
|
||||
"""Basic information on geometry definition."""
|
||||
return util.srepr([
|
||||
'grid a b c: {}'.format(' x '.join(map(str,self.get_grid ()))),
|
||||
'size x y z: {}'.format(' x '.join(map(str,self.get_size ()))),
|
||||
'origin x y z: {}'.format(' '.join(map(str,self.get_origin()))),
|
||||
'homogenization: {}'.format(self.get_homogenization()),
|
||||
'# microstructures: {}'.format(len(np.unique(self.microstructure))),
|
||||
'max microstructure: {}'.format(np.nanmax(self.microstructure)),
|
||||
])
|
||||
|
||||
"""
|
||||
with (open(fname) if isinstance(fname,str) else fname) as f:
|
||||
f.seek(0)
|
||||
header_length,keyword = f.readline().split()[:2]
|
||||
header_length = int(header_length)
|
||||
content = f.readlines()
|
||||
def update(self,microstructure=None,size=None,origin=None,rescale=False):
|
||||
"""
|
||||
Updates microstructure and size.
|
||||
|
||||
if not keyword.startswith('head') or header_length < 3:
|
||||
raise TypeError('Header length information missing or invalid')
|
||||
Parameters
|
||||
----------
|
||||
microstructure : numpy.ndarray, optional
|
||||
microstructure array (3D).
|
||||
size : list or numpy.ndarray, optional
|
||||
physical size of the microstructure in meter.
|
||||
origin : list or numpy.ndarray, optional
|
||||
physical origin of the microstructure in meter.
|
||||
rescale : bool, optional
|
||||
ignore size parameter and rescale according to change of grid points.
|
||||
|
||||
comments = []
|
||||
for i,line in enumerate(content[:header_length]):
|
||||
items = line.lower().strip().split()
|
||||
key = items[0] if len(items) > 0 else ''
|
||||
if key == 'grid':
|
||||
grid = np.array([ int(dict(zip(items[1::2],items[2::2]))[i]) for i in ['a','b','c']])
|
||||
elif key == 'size':
|
||||
size = np.array([float(dict(zip(items[1::2],items[2::2]))[i]) for i in ['x','y','z']])
|
||||
elif key == 'origin':
|
||||
origin = np.array([float(dict(zip(items[1::2],items[2::2]))[i]) for i in ['x','y','z']])
|
||||
elif key == 'homogenization':
|
||||
homogenization = int(items[1])
|
||||
else:
|
||||
comments.append(line.strip())
|
||||
"""
|
||||
grid_old = self.get_grid()
|
||||
size_old = self.get_size()
|
||||
origin_old = self.get_origin()
|
||||
unique_old = len(np.unique(self.microstructure))
|
||||
max_old = np.nanmax(self.microstructure)
|
||||
|
||||
if size is not None and rescale:
|
||||
raise ValueError('Either set size explicitly or rescale automatically')
|
||||
|
||||
microstructure = np.empty(grid.prod()) # initialize as flat array
|
||||
i = 0
|
||||
for line in content[header_length:]:
|
||||
items = line.split()
|
||||
if len(items) == 3:
|
||||
if items[1].lower() == 'of':
|
||||
items = np.ones(int(items[0]))*float(items[2])
|
||||
elif items[1].lower() == 'to':
|
||||
items = np.linspace(int(items[0]),int(items[2]),
|
||||
abs(int(items[2])-int(items[0]))+1,dtype=float)
|
||||
else: items = list(map(float,items))
|
||||
else: items = list(map(float,items))
|
||||
self.set_microstructure(microstructure)
|
||||
self.set_origin(origin)
|
||||
|
||||
if size is not None:
|
||||
self.set_size(size)
|
||||
elif rescale:
|
||||
self.set_size(self.get_grid()/grid_old*self.size)
|
||||
|
||||
message = ['grid a b c: {}'.format(' x '.join(map(str,grid_old)))]
|
||||
if np.any(grid_old != self.get_grid()):
|
||||
message[-1] = util.delete(message[-1])
|
||||
message.append(util.emph('grid a b c: {}'.format(' x '.join(map(str,self.get_grid())))))
|
||||
|
||||
message.append('size x y z: {}'.format(' x '.join(map(str,size_old))))
|
||||
if np.any(size_old != self.get_size()):
|
||||
message[-1] = util.delete(message[-1])
|
||||
message.append(util.emph('size x y z: {}'.format(' x '.join(map(str,self.get_size())))))
|
||||
|
||||
message.append('origin x y z: {}'.format(' '.join(map(str,origin_old))))
|
||||
if np.any(origin_old != self.get_origin()):
|
||||
message[-1] = util.delete(message[-1])
|
||||
message.append(util.emph('origin x y z: {}'.format(' '.join(map(str,self.get_origin())))))
|
||||
|
||||
message.append('homogenization: {}'.format(self.get_homogenization()))
|
||||
|
||||
message.append('# microstructures: {}'.format(unique_old))
|
||||
if unique_old != len(np.unique(self.microstructure)):
|
||||
message[-1] = util.delete(message[-1])
|
||||
message.append(util.emph('# microstructures: {}'.format(len(np.unique(self.microstructure)))))
|
||||
|
||||
message.append('max microstructure: {}'.format(max_old))
|
||||
if max_old != np.nanmax(self.microstructure):
|
||||
message[-1] = util.delete(message[-1])
|
||||
message.append(util.emph('max microstructure: {}'.format(np.nanmax(self.microstructure))))
|
||||
|
||||
return util.return_message(message)
|
||||
|
||||
def set_comments(self,comments):
|
||||
"""
|
||||
Replaces all existing comments.
|
||||
|
||||
Parameters
|
||||
----------
|
||||
comments : list of str
|
||||
new comments.
|
||||
|
||||
"""
|
||||
self.comments = []
|
||||
self.add_comments(comments)
|
||||
|
||||
microstructure[i:i+len(items)] = items
|
||||
i += len(items)
|
||||
def add_comments(self,comments):
|
||||
"""
|
||||
Appends comments to existing comments.
|
||||
|
||||
Parameters
|
||||
----------
|
||||
comments : list of str
|
||||
new comments.
|
||||
|
||||
"""
|
||||
self.comments += [str(c) for c in comments] if isinstance(comments,list) else [str(comments)]
|
||||
|
||||
def set_microstructure(self,microstructure):
|
||||
"""
|
||||
Replaces the existing microstructure representation.
|
||||
|
||||
Parameters
|
||||
----------
|
||||
microstructure : numpy.ndarray
|
||||
microstructure array (3D).
|
||||
|
||||
"""
|
||||
if microstructure is not None:
|
||||
if len(microstructure.shape) != 3:
|
||||
raise ValueError('Invalid microstructure shape {}'.format(*microstructure.shape))
|
||||
elif microstructure.dtype not in np.sctypes['float'] + np.sctypes['int']:
|
||||
raise TypeError('Invalid data type {} for microstructure'.format(microstructure.dtype))
|
||||
else:
|
||||
self.microstructure = np.copy(microstructure)
|
||||
|
||||
def set_size(self,size):
|
||||
"""
|
||||
Replaces the existing size information.
|
||||
|
||||
Parameters
|
||||
----------
|
||||
size : list or numpy.ndarray
|
||||
physical size of the microstructure in meter.
|
||||
|
||||
"""
|
||||
if size is None:
|
||||
grid = np.asarray(self.microstructure.shape)
|
||||
self.size = grid/np.max(grid)
|
||||
else:
|
||||
if len(size) != 3 or any(np.array(size)<=0):
|
||||
raise ValueError('Invalid size {}'.format(*size))
|
||||
else:
|
||||
self.size = np.array(size)
|
||||
|
||||
def set_origin(self,origin):
|
||||
"""
|
||||
Replaces the existing origin information.
|
||||
|
||||
Parameters
|
||||
----------
|
||||
origin : list or numpy.ndarray
|
||||
physical origin of the microstructure in meter
|
||||
|
||||
"""
|
||||
if origin is not None:
|
||||
if len(origin) != 3:
|
||||
raise ValueError('Invalid origin {}'.format(*origin))
|
||||
else:
|
||||
self.origin = np.array(origin)
|
||||
|
||||
def set_homogenization(self,homogenization):
|
||||
"""
|
||||
Replaces the existing homogenization index.
|
||||
|
||||
Parameters
|
||||
----------
|
||||
homogenization : integer
|
||||
homogenization index
|
||||
|
||||
"""
|
||||
if homogenization is not None:
|
||||
if not isinstance(homogenization,int) or homogenization < 1:
|
||||
raise TypeError('Invalid homogenization {}'.format(homogenization))
|
||||
else:
|
||||
self.homogenization = homogenization
|
||||
|
||||
|
||||
def get_microstructure(self):
|
||||
"""Return the microstructure representation."""
|
||||
return np.copy(self.microstructure)
|
||||
|
||||
def get_size(self):
|
||||
"""Return the physical size in meter."""
|
||||
return np.copy(self.size)
|
||||
|
||||
def get_origin(self):
|
||||
"""Return the origin in meter."""
|
||||
return np.copy(self.origin)
|
||||
|
||||
def get_grid(self):
|
||||
"""Return the grid discretization."""
|
||||
return np.array(self.microstructure.shape)
|
||||
|
||||
def get_homogenization(self):
|
||||
"""Return the homogenization index."""
|
||||
return self.homogenization
|
||||
|
||||
def get_comments(self):
|
||||
"""Return the comments."""
|
||||
return self.comments[:]
|
||||
|
||||
def get_header(self):
|
||||
"""Return the full header (grid, size, origin, homogenization, comments)."""
|
||||
header = ['{} header'.format(len(self.comments)+4)] + self.comments
|
||||
header.append('grid a {} b {} c {}'.format(*self.get_grid()))
|
||||
header.append('size x {} y {} z {}'.format(*self.get_size()))
|
||||
header.append('origin x {} y {} z {}'.format(*self.get_origin()))
|
||||
header.append('homogenization {}'.format(self.get_homogenization()))
|
||||
return header
|
||||
|
||||
@classmethod
|
||||
def from_file(cls,fname):
|
||||
"""
|
||||
Reads a geom file.
|
||||
|
||||
Parameters
|
||||
----------
|
||||
fname : str or file handle
|
||||
geometry file to read.
|
||||
|
||||
"""
|
||||
with (open(fname) if isinstance(fname,str) else fname) as f:
|
||||
f.seek(0)
|
||||
header_length,keyword = f.readline().split()[:2]
|
||||
header_length = int(header_length)
|
||||
content = f.readlines()
|
||||
|
||||
if not keyword.startswith('head') or header_length < 3:
|
||||
raise TypeError('Header length information missing or invalid')
|
||||
|
||||
comments = []
|
||||
for i,line in enumerate(content[:header_length]):
|
||||
items = line.lower().strip().split()
|
||||
key = items[0] if len(items) > 0 else ''
|
||||
if key == 'grid':
|
||||
grid = np.array([ int(dict(zip(items[1::2],items[2::2]))[i]) for i in ['a','b','c']])
|
||||
elif key == 'size':
|
||||
size = np.array([float(dict(zip(items[1::2],items[2::2]))[i]) for i in ['x','y','z']])
|
||||
elif key == 'origin':
|
||||
origin = np.array([float(dict(zip(items[1::2],items[2::2]))[i]) for i in ['x','y','z']])
|
||||
elif key == 'homogenization':
|
||||
homogenization = int(items[1])
|
||||
else:
|
||||
comments.append(line.strip())
|
||||
|
||||
microstructure = np.empty(grid.prod()) # initialize as flat array
|
||||
i = 0
|
||||
for line in content[header_length:]:
|
||||
items = line.split()
|
||||
if len(items) == 3:
|
||||
if items[1].lower() == 'of':
|
||||
items = np.ones(int(items[0]))*float(items[2])
|
||||
elif items[1].lower() == 'to':
|
||||
items = np.linspace(int(items[0]),int(items[2]),
|
||||
abs(int(items[2])-int(items[0]))+1,dtype=float)
|
||||
else: items = list(map(float,items))
|
||||
else: items = list(map(float,items))
|
||||
microstructure[i:i+len(items)] = items
|
||||
i += len(items)
|
||||
|
||||
if i != grid.prod():
|
||||
raise TypeError('Invalid file: expected {} entries,found {}'.format(grid.prod(),i))
|
||||
|
||||
microstructure = microstructure.reshape(grid,order='F')
|
||||
if not np.any(np.mod(microstructure.flatten(),1) != 0.0): # no float present
|
||||
microstructure = microstructure.astype('int')
|
||||
|
||||
return cls(microstructure.reshape(grid),size,origin,homogenization,comments)
|
||||
|
||||
|
||||
def to_file(self,fname):
|
||||
"""
|
||||
Writes a geom file.
|
||||
|
||||
Parameters
|
||||
----------
|
||||
fname : str or file handle
|
||||
geometry file to write.
|
||||
|
||||
"""
|
||||
header = self.get_header()
|
||||
grid = self.get_grid()
|
||||
format_string = '%g' if self.microstructure in np.sctypes['float'] else \
|
||||
'%{}i'.format(1+int(np.floor(np.log10(np.nanmax(self.microstructure)))))
|
||||
np.savetxt(fname,
|
||||
self.microstructure.reshape([grid[0],np.prod(grid[1:])],order='F').T,
|
||||
header='\n'.join(header), fmt=format_string, comments='')
|
||||
|
||||
def to_vtk(self,fname=None):
|
||||
"""
|
||||
Generates vtk file.
|
||||
|
||||
Parameters
|
||||
----------
|
||||
fname : str, optional
|
||||
vtk file to write. If no file is given, a string is returned.
|
||||
|
||||
"""
|
||||
grid = self.get_grid() + np.ones(3,dtype=int)
|
||||
size = self.get_size()
|
||||
origin = self.get_origin()
|
||||
|
||||
coords = [
|
||||
np.linspace(0,size[0],grid[0]) + origin[0],
|
||||
np.linspace(0,size[1],grid[1]) + origin[1],
|
||||
np.linspace(0,size[2],grid[2]) + origin[2]
|
||||
]
|
||||
|
||||
rGrid = vtk.vtkRectilinearGrid()
|
||||
coordArray = [vtk.vtkDoubleArray(),vtk.vtkDoubleArray(),vtk.vtkDoubleArray()]
|
||||
|
||||
rGrid.SetDimensions(*grid)
|
||||
for d,coord in enumerate(coords):
|
||||
for c in coord:
|
||||
coordArray[d].InsertNextValue(c)
|
||||
|
||||
rGrid.SetXCoordinates(coordArray[0])
|
||||
rGrid.SetYCoordinates(coordArray[1])
|
||||
rGrid.SetZCoordinates(coordArray[2])
|
||||
|
||||
ms = numpy_support.numpy_to_vtk(num_array=self.microstructure.flatten(order='F'),
|
||||
array_type=vtk.VTK_INT if self.microstructure.dtype == int else vtk.VTK_FLOAT)
|
||||
ms.SetName('microstructure')
|
||||
rGrid.GetCellData().AddArray(ms)
|
||||
|
||||
|
||||
if fname is None:
|
||||
writer = vtk.vtkDataSetWriter()
|
||||
writer.SetHeader('damask.Geom '+version)
|
||||
writer.WriteToOutputStringOn()
|
||||
else:
|
||||
writer = vtk.vtkXMLRectilinearGridWriter()
|
||||
writer.SetCompressorTypeToZLib()
|
||||
writer.SetDataModeToBinary()
|
||||
|
||||
ext = os.path.splitext(fname)[1]
|
||||
if ext == '':
|
||||
name = fname + '.' + writer.GetDefaultFileExtension()
|
||||
elif ext == writer.GetDefaultFileExtension():
|
||||
name = fname
|
||||
else:
|
||||
raise ValueError("unknown extension {}".format(ext))
|
||||
writer.SetFileName(name)
|
||||
|
||||
if i != grid.prod():
|
||||
raise TypeError('Invalid file: expected {} entries,found {}'.format(grid.prod(),i))
|
||||
|
||||
microstructure = microstructure.reshape(grid,order='F')
|
||||
if not np.any(np.mod(microstructure.flatten(),1) != 0.0): # no float present
|
||||
microstructure = microstructure.astype('int')
|
||||
|
||||
return cls(microstructure.reshape(grid),size,origin,homogenization,comments)
|
||||
writer.SetInputData(rGrid)
|
||||
writer.Write()
|
||||
|
||||
def to_file(self,fname):
|
||||
"""
|
||||
Writes a geom file.
|
||||
if fname is None: return writer.GetOutputString()
|
||||
|
||||
Parameters
|
||||
----------
|
||||
fname : str or file handle
|
||||
geometry file to write.
|
||||
|
||||
"""
|
||||
header = self.get_header()
|
||||
grid = self.get_grid()
|
||||
format_string = '%{}i'.format(1+int(np.floor(np.log10(np.nanmax(self.microstructure))))) if self.microstructure.dtype == int \
|
||||
else '%g'
|
||||
np.savetxt(fname,
|
||||
self.microstructure.reshape([grid[0],np.prod(grid[1:])],order='F').T,
|
||||
header='\n'.join(header), fmt=format_string, comments='')
|
||||
|
||||
def show(self):
|
||||
"""Show raw content (as in file)."""
|
||||
f=StringIO()
|
||||
self.to_file(f)
|
||||
f.seek(0)
|
||||
return ''.join(f.readlines())
|
||||
|
||||
|
||||
|
||||
def to_vtk(self,fname=None):
|
||||
"""
|
||||
Generates vtk file.
|
||||
def mirror(self,directions,reflect=False):
|
||||
"""
|
||||
Mirror microstructure along given directions.
|
||||
|
||||
Parameters
|
||||
----------
|
||||
fname : str, optional
|
||||
vtk file to write. If no file is given, a string is returned.
|
||||
Parameters
|
||||
----------
|
||||
directions : iterable containing str
|
||||
direction(s) along which the microstructure is mirrored. Valid entries are 'x', 'y', 'z'.
|
||||
reflect : bool, optional
|
||||
reflect (include) outermost layers.
|
||||
|
||||
"""
|
||||
grid = self.get_grid() + np.ones(3,dtype=int)
|
||||
size = self.get_size()
|
||||
origin = self.get_origin()
|
||||
"""
|
||||
valid = {'x','y','z'}
|
||||
if not all(isinstance(d, str) for d in directions):
|
||||
raise TypeError('Directions are not of type str.')
|
||||
elif not set(directions).issubset(valid):
|
||||
raise ValueError('Invalid direction specified {}'.format(*set(directions).difference(valid)))
|
||||
|
||||
coords = [
|
||||
np.linspace(0,size[0],grid[0]) + origin[0],
|
||||
np.linspace(0,size[1],grid[1]) + origin[1],
|
||||
np.linspace(0,size[2],grid[2]) + origin[2]
|
||||
]
|
||||
|
||||
rGrid = vtk.vtkRectilinearGrid()
|
||||
coordArray = [vtk.vtkDoubleArray(),vtk.vtkDoubleArray(),vtk.vtkDoubleArray()]
|
||||
limits = [None,None] if reflect else [-2,0]
|
||||
ms = self.get_microstructure()
|
||||
|
||||
rGrid.SetDimensions(*grid)
|
||||
for d,coord in enumerate(coords):
|
||||
for c in coord:
|
||||
coordArray[d].InsertNextValue(c)
|
||||
|
||||
rGrid.SetXCoordinates(coordArray[0])
|
||||
rGrid.SetYCoordinates(coordArray[1])
|
||||
rGrid.SetZCoordinates(coordArray[2])
|
||||
|
||||
ms = numpy_support.numpy_to_vtk(num_array=self.microstructure.flatten(order='F'),
|
||||
array_type=vtk.VTK_INT if self.microstructure.dtype == int else vtk.VTK_FLOAT)
|
||||
ms.SetName('microstructure')
|
||||
rGrid.GetCellData().AddArray(ms)
|
||||
if 'z' in directions:
|
||||
ms = np.concatenate([ms,ms[:,:,limits[0]:limits[1]:-1]],2)
|
||||
if 'y' in directions:
|
||||
ms = np.concatenate([ms,ms[:,limits[0]:limits[1]:-1,:]],1)
|
||||
if 'x' in directions:
|
||||
ms = np.concatenate([ms,ms[limits[0]:limits[1]:-1,:,:]],0)
|
||||
|
||||
return self.update(ms,rescale=True)
|
||||
#self.add_comments('tbd')
|
||||
|
||||
|
||||
if fname is None:
|
||||
writer = vtk.vtkDataSetWriter()
|
||||
writer.SetHeader('damask.Geom '+version)
|
||||
writer.WriteToOutputStringOn()
|
||||
else:
|
||||
writer = vtk.vtkXMLRectilinearGridWriter()
|
||||
writer.SetCompressorTypeToZLib()
|
||||
writer.SetDataModeToBinary()
|
||||
|
||||
ext = os.path.splitext(fname)[1]
|
||||
if ext == '':
|
||||
name = fname + '.' + writer.GetDefaultFileExtension()
|
||||
elif ext == writer.GetDefaultFileExtension():
|
||||
name = fname
|
||||
else:
|
||||
raise ValueError("unknown extension {}".format(ext))
|
||||
writer.SetFileName(name)
|
||||
|
||||
writer.SetInputData(rGrid)
|
||||
writer.Write()
|
||||
def clean(self,stencil=3):
|
||||
"""
|
||||
Smooth microstructure by selecting most frequent index within given stencil at each location.
|
||||
|
||||
if fname is None: return writer.GetOutputString()
|
||||
Parameters
|
||||
----------
|
||||
stencil : int, optional
|
||||
size of smoothing stencil.
|
||||
|
||||
|
||||
def show(self):
|
||||
"""Show raw content (as in file)."""
|
||||
f=StringIO()
|
||||
self.to_file(f)
|
||||
f.seek(0)
|
||||
return ''.join(f.readlines())
|
||||
"""
|
||||
def mostFrequent(arr):
|
||||
unique, inverse = np.unique(arr, return_inverse=True)
|
||||
return unique[np.argmax(np.bincount(inverse))]
|
||||
|
||||
return self.update(ndimage.filters.generic_filter(self.microstructure,
|
||||
mostFrequent,
|
||||
size=(stencil,)*3).astype(self.microstructure.dtype))
|
||||
#self.add_comments('tbd')
|
||||
|
|
|
@ -48,10 +48,10 @@ def strain_tensor(F,t,m):
|
|||
|
||||
if m > 0.0:
|
||||
eps = 1.0/(2.0*abs(m)) * (+ np.matmul(n,np.einsum('ij,ikj->ijk',w**m,n))
|
||||
- np.broadcast_to(np.ones(3),[F_.shape[0],3]))
|
||||
- np.broadcast_to(np.eye(3),[F_.shape[0],3,3]))
|
||||
elif m < 0.0:
|
||||
eps = 1.0/(2.0*abs(m)) * (- np.matmul(n,np.einsum('ij,ikj->ijk',w**m,n))
|
||||
+ np.broadcast_to(np.ones(3),[F_.shape[0],3]))
|
||||
+ np.broadcast_to(np.eye(3),[F_.shape[0],3,3]))
|
||||
else:
|
||||
eps = np.matmul(n,np.einsum('ij,ikj->ijk',0.5*np.log(w),n))
|
||||
|
||||
|
@ -190,7 +190,7 @@ def rotational_part(x):
|
|||
Tensor of which the rotational part is computed.
|
||||
|
||||
"""
|
||||
return __polar_decomposition(x,'R')
|
||||
return __polar_decomposition(x,'R')[0]
|
||||
|
||||
|
||||
def left_stretch(x):
|
||||
|
@ -203,7 +203,7 @@ def left_stretch(x):
|
|||
Tensor of which the left stretch is computed.
|
||||
|
||||
"""
|
||||
return __polar_decomposition(x,'V')
|
||||
return __polar_decomposition(x,'V')[0]
|
||||
|
||||
|
||||
def right_stretch(x):
|
||||
|
@ -216,7 +216,7 @@ def right_stretch(x):
|
|||
Tensor of which the right stretch is computed.
|
||||
|
||||
"""
|
||||
return __polar_decomposition(x,'U')
|
||||
return __polar_decomposition(x,'U')[0]
|
||||
|
||||
|
||||
def __polar_decomposition(x,requested):
|
||||
|
@ -227,7 +227,7 @@ def __polar_decomposition(x,requested):
|
|||
----------
|
||||
x : numpy.array of shape (:,3,3) or (3,3)
|
||||
Tensor of which the singular values are computed.
|
||||
requested : list of str
|
||||
requested : iterable of str
|
||||
Requested outputs: ‘R’ for the rotation tensor,
|
||||
‘V’ for left stretch tensor and ‘U’ for right stretch tensor.
|
||||
|
||||
|
|
|
@ -79,9 +79,9 @@ class Marc(Solver):
|
|||
exitnumber = -1
|
||||
fid_out = open(outFile,'r')
|
||||
for line in fid_out:
|
||||
if (string.find(line,'tress iteration') is not -1):
|
||||
if (string.find(line,'tress iteration') != -1):
|
||||
print(line)
|
||||
elif (string.find(line,'Exit number') is not -1):
|
||||
elif (string.find(line,'Exit number') != -1):
|
||||
substr = line[string.find(line,'Exit number'):len(line)]
|
||||
exitnumber = int(substr[12:16])
|
||||
|
||||
|
|
|
@ -1,10 +1,8 @@
|
|||
# -*- coding: UTF-8 no BOM -*-
|
||||
|
||||
import os,sys,shutil
|
||||
import logging,logging.config
|
||||
import damask
|
||||
import numpy as np
|
||||
from collections import Iterable
|
||||
from collections.abc import Iterable
|
||||
from optparse import OptionParser
|
||||
|
||||
class Test():
|
||||
|
@ -17,7 +15,7 @@ class Test():
|
|||
variants = []
|
||||
|
||||
def __init__(self, **kwargs):
|
||||
|
||||
"""New test."""
|
||||
defaults = {'description': '',
|
||||
'keep': False,
|
||||
'accept': False,
|
||||
|
@ -120,22 +118,22 @@ class Test():
|
|||
"""Delete directory tree containing current results."""
|
||||
try:
|
||||
shutil.rmtree(self.dirCurrent())
|
||||
except:
|
||||
except FileNotFoundError:
|
||||
logging.warning('removal of directory "{}" not possible...'.format(self.dirCurrent()))
|
||||
|
||||
try:
|
||||
os.mkdir(self.dirCurrent())
|
||||
return True
|
||||
except:
|
||||
except FileExistsError:
|
||||
logging.critical('creation of directory "{}" failed.'.format(self.dirCurrent()))
|
||||
return False
|
||||
|
||||
def prepareAll(self):
|
||||
"""Do all necessary preparations for the whole test"""
|
||||
"""Do all necessary preparations for the whole test."""
|
||||
return True
|
||||
|
||||
def prepare(self,variant):
|
||||
"""Do all necessary preparations for the run of each test variant"""
|
||||
"""Do all necessary preparations for the run of each test variant."""
|
||||
return True
|
||||
|
||||
|
||||
|
@ -207,9 +205,9 @@ class Test():
|
|||
for source,target in zip(list(map(mapA,A)),list(map(mapB,B))):
|
||||
try:
|
||||
shutil.copy2(source,target)
|
||||
except:
|
||||
except FileNotFoundError:
|
||||
logging.critical('error copying {} to {}'.format(source,target))
|
||||
raise
|
||||
raise FileNotFoundError
|
||||
|
||||
|
||||
def copy_Reference2Current(self,sourcefiles=[],targetfiles=[]):
|
||||
|
@ -218,9 +216,9 @@ class Test():
|
|||
for i,f in enumerate(sourcefiles):
|
||||
try:
|
||||
shutil.copy2(self.fileInReference(f),self.fileInCurrent(targetfiles[i]))
|
||||
except:
|
||||
except FileNotFoundError:
|
||||
logging.critical('Reference2Current: Unable to copy file "{}"'.format(f))
|
||||
raise
|
||||
raise FileNotFoundError
|
||||
|
||||
|
||||
def copy_Base2Current(self,sourceDir,sourcefiles=[],targetfiles=[]):
|
||||
|
@ -230,10 +228,10 @@ class Test():
|
|||
for i,f in enumerate(sourcefiles):
|
||||
try:
|
||||
shutil.copy2(os.path.join(source,f),self.fileInCurrent(targetfiles[i]))
|
||||
except:
|
||||
except FileNotFoundError:
|
||||
logging.error(os.path.join(source,f))
|
||||
logging.critical('Base2Current: Unable to copy file "{}"'.format(f))
|
||||
raise
|
||||
raise FileNotFoundError
|
||||
|
||||
|
||||
def copy_Current2Reference(self,sourcefiles=[],targetfiles=[]):
|
||||
|
@ -242,9 +240,9 @@ class Test():
|
|||
for i,f in enumerate(sourcefiles):
|
||||
try:
|
||||
shutil.copy2(self.fileInCurrent(f),self.fileInReference(targetfiles[i]))
|
||||
except:
|
||||
except FileNotFoundError:
|
||||
logging.critical('Current2Reference: Unable to copy file "{}"'.format(f))
|
||||
raise
|
||||
raise FileNotFoundError
|
||||
|
||||
|
||||
def copy_Proof2Current(self,sourcefiles=[],targetfiles=[]):
|
||||
|
@ -253,9 +251,9 @@ class Test():
|
|||
for i,f in enumerate(sourcefiles):
|
||||
try:
|
||||
shutil.copy2(self.fileInProof(f),self.fileInCurrent(targetfiles[i]))
|
||||
except:
|
||||
except FileNotFoundError:
|
||||
logging.critical('Proof2Current: Unable to copy file "{}"'.format(f))
|
||||
raise
|
||||
raise FileNotFoundError
|
||||
|
||||
|
||||
def copy_Current2Current(self,sourcefiles=[],targetfiles=[]):
|
||||
|
@ -263,9 +261,10 @@ class Test():
|
|||
for i,f in enumerate(sourcefiles):
|
||||
try:
|
||||
shutil.copy2(self.fileInReference(f),self.fileInCurrent(targetfiles[i]))
|
||||
except:
|
||||
except FileNotFoundError:
|
||||
logging.critical('Current2Current: Unable to copy file "{}"'.format(f))
|
||||
raise
|
||||
raise FileNotFoundError
|
||||
|
||||
|
||||
def execute_inCurrentDir(self,cmd,streamIn=None,env=None):
|
||||
|
||||
|
@ -439,7 +438,7 @@ class Test():
|
|||
stdTol = 1.0e-6,
|
||||
preFilter = 1.0e-9):
|
||||
"""
|
||||
Calculate statistics of tables
|
||||
Calculate statistics of tables.
|
||||
|
||||
threshold can be used to ignore small values (a negative number disables this feature)
|
||||
"""
|
||||
|
@ -492,7 +491,7 @@ class Test():
|
|||
rtol = 1e-5,
|
||||
atol = 1e-8,
|
||||
debug = False):
|
||||
"""Compare multiple tables with np.allclose"""
|
||||
"""Compare multiple tables with np.allclose."""
|
||||
if not (isinstance(files, Iterable) and not isinstance(files, str)): # check whether list of files is requested
|
||||
files = [str(files)]
|
||||
|
|
@ -1,3 +0,0 @@
|
|||
"""Test functionality."""
|
||||
|
||||
from .test import Test # noqa
|
Loading…
Reference in New Issue