def op(self, inst):
during = "Operation translate in %s" % (self.func.__name__, )
with error_context(lineno=inst.lineno, during="Translate operation",
pyfunc=self.func):
self.lineno = inst.lineno
attr = 'op_%s' % inst.opname.replace('+', '_')
fn = getattr(self, attr, self.generic_op)
fn(inst)
def op(self, inst):
during = "Operation translate in %s" % (self.func.__name__, )
with error_context(lineno=inst.lineno,
during="Translate operation",
pyfunc=self.func):
self.lineno = inst.lineno
attr = 'op_%s' % inst.opname.replace('+', '_')
fn = getattr(self, attr, self.generic_op)
fn(inst)
def infer_node(cache, ctx, node, env, processed):
"""Infer types for a single node"""
changed = False
C = ctx.constraints.get(node, 'flow')
if isinstance(node, Mono):
typeset = set([node])
else:
typeset = ctx.context[node]
incoming = ctx.graph.predecessors(node)
outgoing = ctx.graph.neighbors(node)
# Get line number of original function
if isinstance(node, ir.Op):
lineno = node.metadata.get('lineno', -1)
else:
lineno = -1
with error_context(lineno=lineno, during="Infer call"):
inferer = inference_table[C]
return inferer(ctx, env, node, processed, incoming, typeset, changed)
