forked from M-Labs/artiq
transforms.devirtualizer.MethodResolver: implement.
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@ -6,11 +6,11 @@ Devirtualization is implemented using a lattice
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with three states: unknown → assigned once → diverges.
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The lattice is computed individually for every
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variable in scope as well as every
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(constructor type, field name) pair.
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(instance type, field name) pair.
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"""
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from pythonparser import algorithm
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from .. import ir, types
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from .. import asttyped, ir, types
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def _advance(target_map, key, value):
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if key not in target_map:
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@ -80,13 +80,38 @@ class FunctionResolver(algorithm.Visitor):
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self.variable_map[node] = self.scope_map[key]
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self.queue.append(thunk)
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class MethodResolver(algorithm.Visitor):
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def __init__(self, variable_map, method_map):
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self.variable_map = variable_map
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self.method_map = method_map
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# embedding.Stitcher.finalize generates initialization statements
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# of form "constructor.meth = meth_body".
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def visit_Assign(self, node):
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if node.value not in self.variable_map:
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return
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value = self.variable_map[node.value]
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for target in node.targets:
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if isinstance(target, asttyped.AttributeT):
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if types.is_constructor(target.value.type):
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instance_type = target.value.type.instance
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elif types.is_instance(target.value.type):
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instance_type = target.value.type
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else:
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continue
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_advance(self.method_map, (instance_type, target.attr), value)
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class Devirtualizer:
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def __init__(self):
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self.variable_map = dict()
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self.method_map = dict()
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def visit(self, node):
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resolver = FunctionResolver(self.variable_map)
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resolver.visit(node)
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resolver.finalize()
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# print(self.variable_map)
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function_resolver = FunctionResolver(self.variable_map)
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function_resolver.visit(node)
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function_resolver.finalize()
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method_resolver = MethodResolver(self.variable_map, self.method_map)
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method_resolver.visit(node)
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print(self.method_map)
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