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DAMASK_EICMD
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more python 3 compatibility

This commit is contained in:
Martin Diehl 2018-07-19 16:26:30 +02:00
parent 35e470ff4d
commit f928bd5e5b
5 changed files with 9 additions and 22 deletions
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3
processing/post/addDeterminant.py
View File

@ -83,8 +83,7 @@ for name in filenames:
while outputAlive and table.data_read(): # read next data line of ASCII table while outputAlive and table.data_read(): # read next data line of ASCII table
for type, data in items.items(): for type, data in items.items():
for column in data['column']: for column in data['column']:
table.data_append(determinant(map(float,table.data[column: table.data_append(determinant(list(map(float,table.data[column: column+data['dim']]))))
column+data['dim']])))
outputAlive = table.data_write() # output processed line outputAlive = table.data_write() # output processed line
# ------------------------------------------ output finalization ----------------------------------- # ------------------------------------------ output finalization -----------------------------------

4
processing/post/addDeviator.py
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@ -95,8 +95,8 @@ for name in filenames:
while outputAlive and table.data_read(): # read next data line of ASCII table while outputAlive and table.data_read(): # read next data line of ASCII table
for type, data in items.items(): for type, data in items.items():
for column in data['column']: for column in data['column']:
table.data_append(deviator(map(float,table.data[column: table.data_append(deviator(list(map(float,table.data[column:
column+data['dim']]),options.spherical)) column+data['dim']])),options.spherical))
outputAlive = table.data_write() # output processed line outputAlive = table.data_write() # output processed line
# ------------------------------------------ output finalization ----------------------------------- # ------------------------------------------ output finalization -----------------------------------

8
processing/post/addDisplacement.py
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@ -168,13 +168,7 @@ for name in filenames:
np.zeros((table.data.shape[0], np.zeros((table.data.shape[0],
3-table.data[:,9:].shape[1]),dtype='f'))) # fill coords up to 3D with zeros 3-table.data[:,9:].shape[1]),dtype='f'))) # fill coords up to 3D with zeros
coords = [np.unique(table.data[:,9+i]) for i in range(3)] grid,size = damask.util.coordGridAndSize(table.data[:,9:12])
mincorner = np.array(map(min,coords))
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 set to smallest among other spacings
N = grid.prod() N = grid.prod()
if N != len(table.data): errors.append('data count {} does not match grid {}x{}x{}.'.format(N,*grid)) if N != len(table.data): errors.append('data count {} does not match grid {}x{}x{}.'.format(N,*grid))

2
processing/post/addEhkl.py
View File

@ -88,7 +88,7 @@ for name in filenames:
outputAlive = True outputAlive = True
while outputAlive and table.data_read(): # read next data line of ASCII table while outputAlive and table.data_read(): # read next data line of ASCII table
for column in columns: for column in columns:
table.data_append(E_hkl(map(float,table.data[column:column+3]),options.hkl)) table.data_append(E_hkl(list(map(float,table.data[column:column+3])),options.hkl))
outputAlive = table.data_write() # output processed line outputAlive = table.data_write() # output processed line
# ------------------------------------------ output finalization ----------------------------------- # ------------------------------------------ output finalization -----------------------------------

10
processing/post/addEuclideanDistance.py
View File

@ -151,10 +151,8 @@ for name in filenames:
remarks = [] remarks = []
column = {} column = {}
coordDim = table.label_dimension(options.pos) if not 3 >= table.label_dimension(options.pos) >= 1:
if not 3 >= coordDim >= 1:
errors.append('coordinates "{}" need to have one, two, or three dimensions.'.format(options.pos)) errors.append('coordinates "{}" need to have one, two, or three dimensions.'.format(options.pos))
else: coordCol = table.label_index(options.pos)
if table.label_dimension(options.id) != 1: errors.append('grain identifier {} not found.'.format(options.id)) if table.label_dimension(options.id) != 1: errors.append('grain identifier {} not found.'.format(options.id))
else: idCol = table.label_index(options.id) else: idCol = table.label_index(options.id)
@ -178,11 +176,7 @@ for name in filenames:
table.data_readArray() table.data_readArray()
coords = [np.unique(table.data[:,coordCol+i]) for i in range(coordDim)] grid,size = damask.util.coordGridAndSize(table.data[:,table.label_indexrange(options.pos)])
mincorner = np.array(map(min,coords))
maxcorner = np.array(map(max,coords))
grid = np.array(map(len,coords)+[1]*(3-len(coords)),'i')
N = grid.prod() N = grid.prod()
if N != len(table.data): errors.append('data count {} does not match grid {}.'.format(N,'x'.join(map(str,grid)))) if N != len(table.data): errors.append('data count {} does not match grid {}.'.format(N,'x'.join(map(str,grid))))