DAMASK_EICMD/python/damask/geom.py

486 lines
17 KiB
Python

import sys
from io import StringIO
import numpy as np
from scipy import ndimage
from . import VTK
from . import util
class Geom():
"""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.
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.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
@property
def grid(self):
return self.get_grid()
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
@staticmethod
def from_file(fname):
"""
Reads a geom file.
Parameters
----------
fname : str or file handle
geometry file to read.
"""
try:
f = open(fname)
except TypeError:
f = fname
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 items 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 Geom(microstructure.reshape(grid),size,origin,homogenization,comments)
def to_file(self,fname,pack=None):
"""
Writes a geom file.
Parameters
----------
fname : str or file handle
geometry file to write.
pack : bool, optional
compress geometry with 'x of y' and 'a to b'.
"""
header = self.get_header()
grid = self.get_grid()
if pack is None:
plain = grid.prod()/np.unique(self.microstructure).size < 250
else:
plain = not pack
if plain:
format_string = '%g' if self.microstructure.dtype 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='')
else:
try:
f = open(fname,'w')
except TypeError:
f = fname
compressType = None
former = start = -1
reps = 0
for current in self.microstructure.flatten('F'):
if abs(current - former) == 1 and (start - current) == reps*(former - current):
compressType = 'to'
reps += 1
elif current == former and start == former:
compressType = 'of'
reps += 1
else:
if compressType is None:
f.write('\n'.join(self.get_header())+'\n')
elif compressType == '.':
f.write('{}\n'.format(former))
elif compressType == 'to':
f.write('{} to {}\n'.format(start,former))
elif compressType == 'of':
f.write('{} of {}\n'.format(reps,former))
compressType = '.'
start = current
reps = 1
former = current
if compressType == '.':
f.write('{}\n'.format(former))
elif compressType == 'to':
f.write('{} to {}\n'.format(start,former))
elif compressType == 'of':
f.write('{} of {}\n'.format(reps,former))
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.
"""
v = VTK.from_rectilinearGrid(self.grid,self.size,self.origin)
v.add(self.microstructure.flatten(order='F'),'microstructure')
if fname:
v.write(fname)
else:
sys.stdout.write(v.__repr__())
def show(self):
"""Show raw content (as in file)."""
f=StringIO()
self.to_file(f)
f.seek(0)
return ''.join(f.readlines())
def mirror(self,directions,reflect=False):
"""
Mirror microstructure along given directions.
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.
"""
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)))
limits = [None,None] if reflect else [-2,0]
ms = self.get_microstructure()
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')
def scale(self,grid):
"""
Scale microstructure to new grid.
Parameters
----------
grid : iterable of int
new grid dimension
"""
return self.update(
ndimage.interpolation.zoom(
self.microstructure,
grid/self.get_grid(),
output=self.microstructure.dtype,
order=0,
mode='nearest',
prefilter=False
)
)
#self.add_comments('tbd')
def clean(self,stencil=3):
"""
Smooth microstructure by selecting most frequent index within given stencil at each location.
Parameters
----------
stencil : int, optional
size of smoothing stencil.
"""
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')
def renumber(self):
"""Renumber sorted microstructure indices to 1,...,N."""
renumbered = np.empty(self.get_grid(),dtype=self.microstructure.dtype)
for i, oldID in enumerate(np.unique(self.microstructure)):
renumbered = np.where(self.microstructure == oldID, i+1, renumbered)
return self.update(renumbered)
#self.add_comments('tbd')