fixed python flake complaints.
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8e01247597
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8d6c601a45
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@ -139,10 +139,10 @@ class ASCIItable():
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# ------------------------------------------------------------------
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def head_read(self):
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"""
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get column labels by either reading
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get column labels
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the first row or, if keyword "head[*]" is present,
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the last line of the header
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by either reading the first row or,
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if keyword "head[*]" is present, the last line of the header
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"""
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import re,shlex
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@ -275,14 +275,13 @@ class ASCIItable():
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# ------------------------------------------------------------------
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def labels(self,
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tags = None,
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raw = False,
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):
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raw = False):
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"""
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returns abstract labels (e.g. "x" for "1_x","2_x",...)
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unless raw output is requested.
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tell abstract labels.
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"x" for "1_x","2_x",... unless raw output is requested.
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operates on object tags or given list.
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"""
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from collections import Iterable
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if tags is None: tags = self.tags
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@ -167,8 +167,8 @@ for name in filenames:
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oldIndices = table.label_indexrange(label)
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Nold = max(1,len(oldIndices)) # Nold could be zero for new columns
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Nnew = len(output.label_indexrange(label))
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output.data_append(eval(evaluator[label]) if label in options.labels
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and (condition == '' or eval(eval(evaluator_condition)))
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output.data_append(eval(evaluator[label]) if label in options.labels and
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(condition == '' or eval(eval(evaluator_condition)))
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else np.tile([table.data[i] for i in oldIndices]
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if label in tabLabels
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else np.nan,
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@ -64,10 +64,12 @@ for name in filenames:
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errors = []
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remarks = []
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if table.label_dimension(options.pos) != 3: errors.append('coordinates "{}" are not a vector.'.format(options.pos))
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if table.label_dimension(options.pos) != 3:
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errors.append('coordinates "{}" are not a vector.'.format(options.pos))
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else: colCoord = table.label_index(options.pos)
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if table.label_dimension(options.defgrad) != 9: errors.append('deformation gradient "{}" is not a tensor.'.format(options.defgrad))
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if table.label_dimension(options.defgrad) != 9:
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errors.append('deformation gradient "{}" is not a tensor.'.format(options.defgrad))
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else: colF = table.label_index(options.defgrad)
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if remarks != []: damask.util.croak(remarks)
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@ -91,7 +93,7 @@ for name in filenames:
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maxcorner = np.array(map(max,coords))
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grid = np.array(map(len,coords),'i')
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size = grid/np.maximum(np.ones(3,'d'), grid-1.0) * (maxcorner-mincorner) # size from edge to edge = dim * n/(n-1)
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size = np.where(grid > 1, size, min(size[grid > 1]/grid[grid > 1])) # spacing for grid==1 set to smallest among other spacings
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size = np.where(grid > 1, size, min(size[grid > 1]/grid[grid > 1])) # grid==1 spacing set to smallest among other ones
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N = grid.prod()
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