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Add support for Return.
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d08598fa0f
commit
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@ -130,6 +130,7 @@ class Inferencer(algorithm.Transformer):
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def __init__(self, engine):
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self.engine = engine
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self.env_stack = [{}]
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self.function = None # currently visited function
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def _unify(self, typea, typeb, loca, locb, kind):
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try:
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@ -137,21 +138,32 @@ class Inferencer(algorithm.Transformer):
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except types.UnificationError as e:
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printer = types.TypePrinter()
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if kind == "generic":
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note1 = diagnostic.Diagnostic("note",
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"expression of type {typea}",
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{"typea": printer.name(typea)},
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loca)
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elif kind == "expects":
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if kind == "expects":
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note1 = diagnostic.Diagnostic("note",
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"expression expecting an operand of type {typea}",
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{"typea": printer.name(typea)},
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loca)
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elif kind == "return_type" or kind == "return_type_none":
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note1 = diagnostic.Diagnostic("note",
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"function with return type {typea}",
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{"typea": printer.name(typea)},
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loca)
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else:
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note1 = diagnostic.Diagnostic("note",
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"expression of type {typea}",
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{"typea": printer.name(typea)},
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loca)
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note2 = diagnostic.Diagnostic("note",
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"expression of type {typeb}",
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{"typeb": printer.name(typeb)},
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locb)
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if kind == "return_type_none":
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note2 = diagnostic.Diagnostic("note",
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"implied expression of type {typeb}",
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{"typeb": printer.name(typeb)},
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locb)
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else:
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note2 = diagnostic.Diagnostic("note",
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"expression of type {typeb}",
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{"typeb": printer.name(typeb)},
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locb)
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if e.typea.find() == typea.find() and e.typeb.find() == typeb.find():
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diag = diagnostic.Diagnostic("fatal",
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@ -166,23 +178,6 @@ class Inferencer(algorithm.Transformer):
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loca, [locb], notes=[note1, note2])
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self.engine.process(diag)
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def visit_FunctionDef(self, node):
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extractor = LocalExtractor(env_stack=self.env_stack, engine=self.engine)
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extractor.visit(node)
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self.env_stack.append(extractor.typing_env)
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node = asttyped.FunctionDefT(
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typing_env=extractor.typing_env, globals_in_scope=extractor.global_,
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name=node.name, args=self.visit(node.args), returns=self.visit(node.returns),
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body=[self.visit(x) for x in node.body], decorator_list=node.decorator_list,
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keyword_loc=node.keyword_loc, name_loc=node.name_loc,
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arrow_loc=node.arrow_loc, colon_loc=node.colon_loc, at_locs=node.at_locs,
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loc=node.loc)
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self.generic_visit(node)
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self.env_stack.pop()
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return node
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def _find_name(self, name, loc):
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for typing_env in reversed(self.env_stack):
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if name in typing_env:
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@ -198,6 +193,39 @@ class Inferencer(algorithm.Transformer):
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arg=node.arg, annotation=self.visit(node.annotation),
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arg_loc=node.arg_loc, colon_loc=node.colon_loc, loc=node.loc)
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def visit_FunctionDef(self, node):
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extractor = LocalExtractor(env_stack=self.env_stack, engine=self.engine)
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extractor.visit(node)
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self.env_stack.append(extractor.typing_env)
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node = asttyped.FunctionDefT(
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typing_env=extractor.typing_env, globals_in_scope=extractor.global_,
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return_type=types.TVar(),
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name=node.name, args=node.args, returns=node.returns,
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body=node.body, decorator_list=node.decorator_list,
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keyword_loc=node.keyword_loc, name_loc=node.name_loc,
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arrow_loc=node.arrow_loc, colon_loc=node.colon_loc, at_locs=node.at_locs,
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loc=node.loc)
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old_function, self.function = self.function, node
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self.generic_visit(node)
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self.function = old_function
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self.env_stack.pop()
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return node
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def visit_Return(self, node):
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node = self.generic_visit(node)
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if node.value is None:
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self._unify(self.function.return_type, types.TNone(),
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self.function.name_loc, node.value.loc, kind="return_type_none")
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else:
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self._unify(self.function.return_type, node.value.type,
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self.function.name_loc, node.value.loc, kind="return_type")
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def visit_Num(self, node):
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if isinstance(node.n, int):
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typ = types.TInt()
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@ -307,6 +335,12 @@ class Printer(algorithm.Visitor):
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def rewrite(self):
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return self.rewriter.rewrite()
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def visit_FunctionDefT(self, node):
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self.rewriter.insert_before(node.colon_loc,
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"->{}".format(self.type_printer.name(node.return_type)))
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super().generic_visit(node)
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def generic_visit(self, node):
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if hasattr(node, "type"):
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self.rewriter.insert_after(node.loc,
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