def __init__(self, obj, unknown_ok):
super(VerifyUnitsInTree, self).__init__(action_predicates=[SingleVisitPredicate()])
self.unknown_ok = unknown_ok
if unknown_ok:
return
try:
self.visit(obj)
except UnitMismatchError, e:
print e
#raise
def get_str(node):
if isinstance(node, ast.ASTExpressionObject):
return '%s\n%s'%(repr(node), node.get_dimension())
else:
return '%s'%(repr(node))
all_nodes = list(obj.all_ast_nodes())
colors = dict([(node,'white') for node in all_nodes])
labels = dict([(node, get_str(node)) for node in all_nodes])
if e.objA:
colors[e.objA] = 'red'
if e.objB:
colors[e.objB] = 'red'
from neurounits.visitors.common.plot_networkx import ActionerPlotNetworkX
ActionerPlotNetworkX(o=obj, labels=labels, colors=colors)
pylab.show()
assert False
def __init__(self, ):
ASTActionerDefaultIgnoreMissing.__init__(
self, action_predicates=[SingleVisitPredicate()])
def __init__(self):
self.nodes = defaultdict(set)
ASTActionerDefault.__init__(self,
action_predicates=[SingleVisitPredicate()])
def __init__(self, obj=None):
self.nodes = defaultdict(set)
ASTActionerDefault.__init__(self,
action_predicates=[SingleVisitPredicate()])
if obj is not None:
self.visit(obj)