shorter but still descriptive names
This commit is contained in:
parent
e7a67262f8
commit
ee8e3386f4
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@ -41,9 +41,9 @@ for name in filenames:
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damask.util.report(scriptName,name)
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damask.util.report(scriptName,name)
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table = damask.Table.from_ASCII(StringIO(''.join(sys.stdin.read())) if name is None else name)
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table = damask.Table.from_ASCII(StringIO(''.join(sys.stdin.read())) if name is None else name)
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table.add_array('Cauchy',
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table.add('Cauchy',
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damask.mechanics.Cauchy(table.get_array(options.defgrad).reshape(-1,3,3),
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damask.mechanics.Cauchy(table.get(options.defgrad).reshape(-1,3,3),
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table.get_array(options.stress).reshape(-1,3,3)).reshape(-1,9),
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table.get(options.stress ).reshape(-1,3,3)).reshape(-1,9),
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scriptID+' '+' '.join(sys.argv[1:]))
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scriptID+' '+' '.join(sys.argv[1:]))
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table.to_ASCII(sys.stdout if name is None else name)
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table.to_ASCII(sys.stdout if name is None else name)
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@ -38,8 +38,8 @@ for name in filenames:
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table = damask.Table.from_ASCII(StringIO(''.join(sys.stdin.read())) if name is None else name)
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table = damask.Table.from_ASCII(StringIO(''.join(sys.stdin.read())) if name is None else name)
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for tensor in options.tensor:
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for tensor in options.tensor:
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table.add_array('det({})'.format(tensor),
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table.add('det({})'.format(tensor),
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np.linalg.det(table.get_array(tensor).reshape(-1,3,3)),
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np.linalg.det(table.get(tensor).reshape(-1,3,3)),
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scriptID+' '+' '.join(sys.argv[1:]))
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scriptID+' '+' '.join(sys.argv[1:]))
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table.to_ASCII(sys.stdout if name is None else name)
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table.to_ASCII(sys.stdout if name is None else name)
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@ -40,12 +40,12 @@ for name in filenames:
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table = damask.Table.from_ASCII(StringIO(''.join(sys.stdin.read())) if name is None else name)
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table = damask.Table.from_ASCII(StringIO(''.join(sys.stdin.read())) if name is None else name)
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for tensor in options.tensor:
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for tensor in options.tensor:
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table.add_array('dev({})'.format(tensor),
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table.add('dev({})'.format(tensor),
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damask.mechanics.deviatoric_part(table.get_array(tensor).reshape(-1,3,3)).reshape((-1,9)),
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damask.mechanics.deviatoric_part(table.get(tensor).reshape(-1,3,3)).reshape((-1,9)),
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scriptID+' '+' '.join(sys.argv[1:]))
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scriptID+' '+' '.join(sys.argv[1:]))
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if options.spherical:
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if options.spherical:
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table.add_array('sph({})'.format(tensor),
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table.add('sph({})'.format(tensor),
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damask.mechanics.spherical_part(table.get_array(tensor).reshape(-1,3,3)),
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damask.mechanics.spherical_part(table.get(tensor).reshape(-1,3,3)),
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scriptID+' '+' '.join(sys.argv[1:]))
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scriptID+' '+' '.join(sys.argv[1:]))
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table.to_ASCII(sys.stdout if name is None else name)
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table.to_ASCII(sys.stdout if name is None else name)
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@ -45,12 +45,12 @@ for name in filenames:
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table = damask.Table.from_ASCII(StringIO(''.join(sys.stdin.read())) if name is None else name)
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table = damask.Table.from_ASCII(StringIO(''.join(sys.stdin.read())) if name is None else name)
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for strain in options.strain:
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for strain in options.strain:
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table.add_array('Mises({})'.format(strain),
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table.add('Mises({})'.format(strain),
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damask.mechanics.Mises_strain(damask.mechanics.symmetric(table.get_array(strain).reshape(-1,3,3))),
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damask.mechanics.Mises_strain(damask.mechanics.symmetric(table.get(strain).reshape(-1,3,3))),
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scriptID+' '+' '.join(sys.argv[1:]))
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scriptID+' '+' '.join(sys.argv[1:]))
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for stress in options.stress:
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for stress in options.stress:
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table.add_array('Mises({})'.format(stress),
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table.add('Mises({})'.format(stress),
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damask.mechanics.Mises_stress(damask.mechanics.symmetric(table.get_array(stress).reshape(-1,3,3))),
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damask.mechanics.Mises_stress(damask.mechanics.symmetric(table.get(stress).reshape(-1,3,3))),
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scriptID+' '+' '.join(sys.argv[1:]))
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scriptID+' '+' '.join(sys.argv[1:]))
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table.to_ASCII(sys.stdout if name is None else name)
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table.to_ASCII(sys.stdout if name is None else name)
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@ -42,9 +42,9 @@ for name in filenames:
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table = damask.Table.from_ASCII(StringIO(''.join(sys.stdin.read())) if name is None else name)
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table = damask.Table.from_ASCII(StringIO(''.join(sys.stdin.read())) if name is None else name)
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table.add_array('S',
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table.add('S',
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damask.mechanics.PK2(table.get_array(options.defgrad).reshape(-1,3,3),
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damask.mechanics.PK2(table.get(options.defgrad).reshape(-1,3,3),
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table.get_array(options.stress).reshape(-1,3,3)).reshape(-1,9),
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table.get(options.stress ).reshape(-1,3,3)).reshape(-1,9),
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scriptID+' '+' '.join(sys.argv[1:]))
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scriptID+' '+' '.join(sys.argv[1:]))
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table.to_ASCII(sys.stdout if name is None else name)
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table.to_ASCII(sys.stdout if name is None else name)
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@ -44,7 +44,8 @@ for name in filenames:
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table = damask.Table.from_ASCII(StringIO(''.join(sys.stdin.read())) if name is None else name)
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table = damask.Table.from_ASCII(StringIO(''.join(sys.stdin.read())) if name is None else name)
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for i,label in enumerate(options.label):
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for i,label in enumerate(options.label):
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table.set_array(label,table.get_array(label)*float(options.factor[i]),
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table.set(label,
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scriptID+' '+' '.join(sys.argv[1:]))
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table.get(label)*float(options.factor[i]),
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scriptID+' '+' '.join(sys.argv[1:]))
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table.to_ASCII(sys.stdout if name is None else name)
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table.to_ASCII(sys.stdout if name is None else name)
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@ -44,7 +44,8 @@ for name in filenames:
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table = damask.Table.from_ASCII(StringIO(''.join(sys.stdin.read())) if name is None else name)
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table = damask.Table.from_ASCII(StringIO(''.join(sys.stdin.read())) if name is None else name)
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for i,label in enumerate(options.label):
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for i,label in enumerate(options.label):
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table.set_array(label,table.get_array(label)+float(options.offset[i]),
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table.set(label,
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scriptID+' '+' '.join(sys.argv[1:]))
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table.get(label)+float(options.offset[i]),
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scriptID+' '+' '.join(sys.argv[1:]))
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table.to_ASCII(sys.stdout if name is None else name)
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table.to_ASCII(sys.stdout if name is None else name)
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@ -87,14 +87,19 @@ class Table():
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return Table(data,shapes,comments)
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return Table(data,shapes,comments)
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def get_array(self,label):
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def labels(self):
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"""Return the labels of all columns."""
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return list(self.shapes.keys())
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def get(self,label):
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"""
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"""
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Return data as array.
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Get column data.
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Parameters
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Parameters
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----------
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----------
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label : str
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label : str
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Label of the array.
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Column label.
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"""
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"""
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if re.match(r'[0-9]*?_',label):
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if re.match(r'[0-9]*?_',label):
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@ -103,62 +108,60 @@ class Table():
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else:
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else:
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return self.data[label].to_numpy().reshape((-1,)+self.shapes[label])
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return self.data[label].to_numpy().reshape((-1,)+self.shapes[label])
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def set_array(self,label,array,info):
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def set(self,label,data,info=None):
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"""
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"""
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Modify data in the spreadsheet.
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Set column data.
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Parameters
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Parameters
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----------
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----------
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label : str
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label : str
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Label for the new data.
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Column label.
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array : np.ndarray
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data : np.ndarray
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New data.
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New data.
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info : str
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info : str, optional
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Human-readable information about the new data.
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Human-readable information about the new data.
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"""
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"""
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if np.prod(array.shape[1:],dtype=int) == 1:
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if info is not None:
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self.comments.append('{}: {}'.format(label,info))
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if np.prod(data.shape[1:],dtype=int) == 1:
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else:
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self.comments.append('{}: {}'.format(label,info))
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self.comments.append('{} {}: {}'.format(label,array.shape[1:],info))
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else:
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self.comments.append('{} {}: {}'.format(label,data.shape[1:],info))
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if re.match(r'[0-9]*?_',label):
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if re.match(r'[0-9]*?_',label):
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idx,key = label.split('_',1)
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idx,key = label.split('_',1)
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iloc = self.data.columns.get_loc(key).tolist().index(True) + int(idx) -1
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iloc = self.data.columns.get_loc(key).tolist().index(True) + int(idx) -1
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self.data.iloc[:,iloc] = array
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self.data.iloc[:,iloc] = data
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else:
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else:
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self.data[label] = array.reshape(self.data[label].shape)
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self.data[label] = data.reshape(self.data[label].shape)
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def add(self,label,data,info=None):
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def labels(self):
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"""Return the labels of all columns."""
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return list(self.shapes.keys())
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def add_array(self,label,array,info):
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"""
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"""
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Add data to the spreadsheet.
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Add column data.
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Parameters
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Parameters
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----------
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----------
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label : str
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label : str
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Label for the new data.
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Column label.
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array : np.ndarray
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data : np.ndarray
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New data.
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Modified data.
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info : str
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info : str, optional
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Human-readable information about the new data.
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Human-readable information about the modified data.
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"""
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"""
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if np.prod(array.shape[1:],dtype=int) == 1:
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if info is not None:
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self.comments.append('{}: {}'.format(label,info))
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if np.prod(data.shape[1:],dtype=int) == 1:
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else:
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self.comments.append('{}: {}'.format(label,info))
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self.comments.append('{} {}: {}'.format(label,array.shape[1:],info))
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else:
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self.comments.append('{} {}: {}'.format(label,data.shape[1:],info))
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self.shapes[label] = array.shape[1:] if len(array.shape) > 1 else (1,)
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self.shapes[label] = data.shape[1:] if len(data.shape) > 1 else (1,)
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size = np.prod(array.shape[1:],dtype=int)
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size = np.prod(data.shape[1:],dtype=int)
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new_data = pd.DataFrame(data=array.reshape(-1,size),
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new_data = pd.DataFrame(data=data.reshape(-1,size),
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columns=[label for l in range(size)])
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columns=[label for l in range(size)])
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self.data = pd.concat([self.data,new_data],axis=1)
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self.data = pd.concat([self.data,new_data],axis=1)
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def to_ASCII(self,fname):
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def to_ASCII(self,fname):
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"""
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"""
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Store as plain text file.
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Store as plain text file.
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@ -20,11 +20,11 @@ def reference_dir(reference_dir_base):
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class TestTable:
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class TestTable:
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def test_get_tensor(self,default):
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def test_get_tensor(self,default):
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d = default.get_array('F')
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d = default.get('F')
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assert np.allclose(d,1.0) and d.shape[1:] == (3,3)
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assert np.allclose(d,1.0) and d.shape[1:] == (3,3)
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def test_get_vector(self,default):
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def test_get_vector(self,default):
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d = default.get_array('v')
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d = default.get('v')
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assert np.allclose(d,1.0) and d.shape[1:] == (3,)
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assert np.allclose(d,1.0) and d.shape[1:] == (3,)
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def test_write_read_str(self,default,tmpdir):
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def test_write_read_str(self,default,tmpdir):
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@ -44,30 +44,30 @@ class TestTable:
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with open(os.path.join(reference_dir,fname)) as f:
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with open(os.path.join(reference_dir,fname)) as f:
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new = Table.from_ASCII(f)
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new = Table.from_ASCII(f)
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def test_set_array(self,default):
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def test_set(self,default):
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default.set_array('F',np.zeros((5,3,3)),'set to zero')
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default.set('F',np.zeros((5,3,3)),'set to zero')
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d=default.get_array('F')
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d=default.get('F')
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assert np.allclose(d,0.0) and d.shape[1:] == (3,3)
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assert np.allclose(d,0.0) and d.shape[1:] == (3,3)
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def test_labels(self,default):
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def test_labels(self,default):
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assert default.labels() == ['F','v','s']
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assert default.labels() == ['F','v','s']
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def test_add_array(self,default):
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def test_add(self,default):
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d = np.random.random((5,9))
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d = np.random.random((5,9))
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default.add_array('nine',d,'random data')
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default.add('nine',d,'random data')
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assert np.allclose(d,default.get_array('nine'))
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assert np.allclose(d,default.get('nine'))
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def test_invalid_initialization(self,default):
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def test_invalid_initialization(self,default):
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x = default.get_array('v')
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x = default.get('v')
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with pytest.raises(IndexError):
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with pytest.raises(IndexError):
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Table(x,{'F':(3,3)})
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Table(x,{'F':(3,3)})
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def test_invalid_set(self,default):
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def test_invalid_set(self,default):
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x = default.get_array('v')
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x = default.get('v')
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with pytest.raises(ValueError):
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with pytest.raises(ValueError):
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default.set_array('F',x,'does not work')
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default.set('F',x,'does not work')
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def test_invalid_get_array(self,default):
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def test_invalid_get(self,default):
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with pytest.raises(KeyError):
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with pytest.raises(KeyError):
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default.get_array('n')
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default.get('n')
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