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DAMASK_EICMD
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shortened excessively long lines

This commit is contained in:
Aritra Chakraborty 2016-03-16 15:12:53 -04:00
parent 3a267dc7ff
commit 36c703ecd3
3 changed files with 33 additions and 30 deletions
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3
processing/post/addCurl.py
View File

@ -154,7 +154,8 @@ for name in filenames:
stack = [table.data]
for type, data in items.iteritems():
for i,label in enumerate(data['active']):
stack.append(curlFFT(size[::-1], # we need to reverse order here, because x is fastest,ie rightmost, but leftmost in our x,y,z notation
# we need to reverse order here, because x is fastest,ie rightmost, but leftmost in our x,y,z notation
stack.append(curlFFT(size[::-1],
table.data[:,data['column'][i]:data['column'][i]+data['dim']].
reshape([grid[2],grid[1],grid[0]]+data['shape'])))

7
processing/post/addDivergence.py
View File

@ -76,7 +76,7 @@ parser.set_defaults(coords = 'ipinitialcoord',
if options.vector is None and options.tensor is None:
parser.error('no data column specified.')
# --- loop over input files -------------------------------------------------------------------------
# --- loop over input files ------------------------------------------------------------------------
if filenames == []: filenames = [None]
@ -134,14 +134,15 @@ for name in filenames:
maxcorner = np.array(map(max,coords))
grid = np.array(map(len,coords),'i')
size = grid/np.maximum(np.ones(3,'d'), grid-1.0) * (maxcorner-mincorner) # size from edge to edge = dim * n/(n-1)
size = np.where(grid > 1, size, min(size[grid > 1]/grid[grid > 1])) # spacing for grid==1 equal to smallest among other spacings
size = np.where(grid > 1, size, min(size[grid > 1]/grid[grid > 1])) # spacing for grid==1 equal to smallest among other ones
# ------------------------------------------ process value field -----------------------------------
stack = [table.data]
for type, data in items.iteritems():
for i,label in enumerate(data['active']):
stack.append(divFFT(size[::-1], # we need to reverse order here, because x is fastest,ie rightmost, but leftmost in our x,y,z notation
# we need to reverse order here, because x is fastest,ie rightmost, but leftmost in our x,y,z notation
stack.append(divFFT(size[::-1],
table.data[:,data['column'][i]:data['column'][i]+data['dim']].
reshape([grid[2],grid[1],grid[0]]+data['shape'])))

7
processing/post/addGradient.py
View File

@ -79,7 +79,7 @@ parser.set_defaults(coords = 'ipinitialcoord',
if options.vector is None and options.scalar is None:
parser.error('no data column specified.')
# --- loop over input files -------------------------------------------------------------------------
# --- loop over input files ------------------------------------------------------------------------
if filenames == []: filenames = [None]
@ -124,7 +124,7 @@ for name in filenames:
table.info_append(scriptID + '\t' + ' '.join(sys.argv[1:]))
for type, data in items.iteritems():
for label in data['active']:
table.labels_append(['{}_gradFFT({})'.format(i+1,label) for i in xrange(3 * data['dim'])]) # extend ASCII header with new labels # grad increases the field dimension by one
table.labels_append(['{}_gradFFT({})'.format(i+1,label) for i in xrange(3 * data['dim'])]) # extend ASCII header with new labels
table.head_write()
# --------------- figure out size and grid ---------------------------------------------------------
@ -143,7 +143,8 @@ for name in filenames:
stack = [table.data]
for type, data in items.iteritems():
for i,label in enumerate(data['active']):
stack.append(gradFFT(size[::-1], # we need to reverse order here, because x is fastest,ie rightmost, but leftmost in our x,y,z notation
# we need to reverse order here, because x is fastest,ie rightmost, but leftmost in our x,y,z notation
stack.append(gradFFT(size[::-1],
table.data[:,data['column'][i]:data['column'][i]+data['dim']].
reshape([grid[2],grid[1],grid[0]]+data['shape'])))