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compiler: refactor type annotations recognizing in kernels.
The new implementation is much more generic, more robust, and shares code with the same for syscalls as well as RPCs. Fixes #713.
This commit is contained in:
whitequark
parent
99196986c0
commit
3a1fc729cf
@ -423,49 +423,9 @@ class StitchingASTTypedRewriter(ASTTypedRewriter):
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self.host_environment = host_environment
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self.quote = quote
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def match_annotation(self, annot):
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if isinstance(annot, ast.Name):
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if annot.id == "TNone":
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return builtins.TNone()
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if annot.id == "TBool":
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return builtins.TBool()
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if annot.id == "TInt32":
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return builtins.TInt(types.TValue(32))
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if annot.id == "TInt64":
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return builtins.TInt(types.TValue(64))
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if annot.id == "TFloat":
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return builtins.TFloat()
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if annot.id == "TStr":
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return builtins.TStr()
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if annot.id == "TRange32":
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return builtins.TRange(builtins.TInt(types.TValue(32)))
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if annot.id == "TRange64":
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return builtins.TRange(builtins.TInt(types.TValue(64)))
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if annot.id == "TVar":
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return types.TVar()
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elif (isinstance(annot, ast.Call) and
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annot.keywords == [] and
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annot.starargs is None and
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annot.kwargs is None and
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isinstance(annot.func, ast.Name)):
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if annot.func.id == "TList" and len(annot.args) == 1:
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elttyp = self.match_annotation(annot.args[0])
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if elttyp is not None:
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return builtins.TList(elttyp)
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else:
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return None
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if annot is not None:
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diag = diagnostic.Diagnostic("error",
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"unrecognized type annotation", {},
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annot.loc)
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self.engine.process(diag)
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def visit_arg(self, node):
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typ = self._find_name(node.arg, node.loc)
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annottyp = self.match_annotation(node.annotation)
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if annottyp is not None:
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typ.unify(annottyp)
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# ignore annotations; these are handled in _quote_function
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return asttyped.argT(type=typ,
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arg=node.arg, annotation=None,
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arg_loc=node.arg_loc, colon_loc=node.colon_loc, loc=node.loc)
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@ -795,6 +755,79 @@ class Stitcher:
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value_map=self.value_map,
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quote_function=self._quote_function)
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def _function_loc(self, function):
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filename = function.__code__.co_filename
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line = function.__code__.co_firstlineno
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name = function.__code__.co_name
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source_line = linecache.getline(filename, line).lstrip()
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while source_line.startswith("@") or source_line == "":
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line += 1
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source_line = linecache.getline(filename, line).lstrip()
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if "<lambda>" in function.__qualname__:
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column = 0 # can't get column of lambda
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else:
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column = re.search("def", source_line).start(0)
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source_buffer = source.Buffer(source_line, filename, line)
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return source.Range(source_buffer, column, column)
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def _call_site_note(self, call_loc, fn_kind):
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if call_loc:
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if fn_kind == 'syscall':
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return [diagnostic.Diagnostic("note",
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"in system call here", {},
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call_loc)]
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elif fn_kind == 'rpc':
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return [diagnostic.Diagnostic("note",
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"in function called remotely here", {},
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call_loc)]
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elif fn_kind == 'kernel':
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return [diagnostic.Diagnostic("note",
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"in kernel function here", {},
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call_loc)]
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else:
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assert False
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else:
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return []
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def _type_of_param(self, function, loc, param, fn_kind):
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if param.annotation is not inspect.Parameter.empty:
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# Type specified explicitly.
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return self._extract_annot(function, param.annotation,
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"argument '{}'".format(param.name), loc,
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fn_kind)
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elif fn_kind == 'syscall':
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# Syscalls must be entirely annotated.
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diag = diagnostic.Diagnostic("error",
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"system call argument '{argument}' must have a type annotation",
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{"argument": param.name},
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self._function_loc(function),
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notes=self._call_site_note(loc, fn_kind))
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self.engine.process(diag)
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elif fn_kind == 'rpc' and param.default is not inspect.Parameter.empty:
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notes = []
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notes.append(diagnostic.Diagnostic("note",
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"expanded from here while trying to infer a type for an"
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" unannotated optional argument '{argument}' from its default value",
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{"argument": param.name},
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self._function_loc(function)))
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if loc is not None:
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notes.append(self._call_site_note(loc, fn_kind))
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with self.engine.context(*notes):
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# Try and infer the type from the default value.
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# This is tricky, because the default value might not have
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# a well-defined type in APython.
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# In this case, we bail out, but mention why we do it.
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ast = self._quote(param.default, None)
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Inferencer(engine=self.engine).visit(ast)
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IntMonomorphizer(engine=self.engine).visit(ast)
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return ast.type
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else:
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# Let the rest of the program decide.
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return types.TVar()
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def _quote_embedded_function(self, function, flags):
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if isinstance(function, SpecializedFunction):
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host_function = function.host_function
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@ -811,6 +844,34 @@ class Stitcher:
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module_name = embedded_function.__globals__['__name__']
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first_line = embedded_function.__code__.co_firstlineno
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# Extract function annotation.
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signature = inspect.signature(embedded_function)
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loc = self._function_loc(embedded_function)
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arg_types = OrderedDict()
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optarg_types = OrderedDict()
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for param in signature.parameters.values():
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if param.kind == inspect.Parameter.VAR_POSITIONAL or \
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param.kind == inspect.Parameter.VAR_KEYWORD:
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diag = diagnostic.Diagnostic("error",
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"variadic arguments are not supported; '{argument}' is variadic",
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{"argument": param.name},
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self._function_loc(function),
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notes=self._call_site_note(loc, fn_kind='kernel'))
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self.engine.process(diag)
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arg_type = self._type_of_param(function, loc, param, fn_kind='kernel')
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if param.default is inspect.Parameter.empty:
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arg_types[param.name] = arg_type
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else:
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optarg_types[param.name] = arg_type
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if signature.return_annotation is not inspect.Signature.empty:
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ret_type = self._extract_annot(function, signature.return_annotation,
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"return type", loc, fn_kind='kernel')
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else:
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ret_type = types.TVar()
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# Extract function environment.
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host_environment = dict()
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host_environment.update(embedded_function.__globals__)
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@ -846,9 +907,9 @@ class Stitcher:
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# can handle quoting it.
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self.embedding_map.store_function(function, function_node.name)
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# Memoize the function type before typing it to handle recursive
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# Fill in the function type before typing it to handle recursive
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# invocations.
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self.functions[function] = types.TVar()
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self.functions[function] = types.TFunction(arg_types, optarg_types, ret_type)
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# Rewrite into typed form.
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asttyped_rewriter = StitchingASTTypedRewriter(
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@ -866,86 +927,19 @@ class Stitcher:
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return function_node
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def _function_loc(self, function):
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filename = function.__code__.co_filename
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line = function.__code__.co_firstlineno
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name = function.__code__.co_name
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source_line = linecache.getline(filename, line).lstrip()
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while source_line.startswith("@") or source_line == "":
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line += 1
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source_line = linecache.getline(filename, line).lstrip()
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if "<lambda>" in function.__qualname__:
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column = 0 # can't get column of lambda
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else:
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column = re.search("def", source_line).start(0)
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source_buffer = source.Buffer(source_line, filename, line)
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return source.Range(source_buffer, column, column)
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def _call_site_note(self, call_loc, is_syscall):
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if call_loc:
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if is_syscall:
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return [diagnostic.Diagnostic("note",
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"in system call here", {},
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call_loc)]
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else:
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return [diagnostic.Diagnostic("note",
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"in function called remotely here", {},
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call_loc)]
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else:
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return []
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def _extract_annot(self, function, annot, kind, call_loc, is_syscall):
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def _extract_annot(self, function, annot, kind, call_loc, fn_kind):
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if not isinstance(annot, types.Type):
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diag = diagnostic.Diagnostic("error",
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"type annotation for {kind}, '{annot}', is not an ARTIQ type",
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{"kind": kind, "annot": repr(annot)},
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self._function_loc(function),
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notes=self._call_site_note(call_loc, is_syscall))
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notes=self._call_site_note(call_loc, fn_kind))
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self.engine.process(diag)
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return types.TVar()
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else:
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return annot
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def _type_of_param(self, function, loc, param, is_syscall):
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if param.annotation is not inspect.Parameter.empty:
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# Type specified explicitly.
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return self._extract_annot(function, param.annotation,
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"argument '{}'".format(param.name), loc,
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is_syscall)
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elif is_syscall:
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# Syscalls must be entirely annotated.
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diag = diagnostic.Diagnostic("error",
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"system call argument '{argument}' must have a type annotation",
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{"argument": param.name},
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self._function_loc(function),
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notes=self._call_site_note(loc, is_syscall))
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self.engine.process(diag)
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elif param.default is not inspect.Parameter.empty:
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notes = []
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notes.append(diagnostic.Diagnostic("note",
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"expanded from here while trying to infer a type for an"
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" unannotated optional argument '{argument}' from its default value",
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{"argument": param.name},
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self._function_loc(function)))
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if loc is not None:
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notes.append(self._call_site_note(loc, is_syscall))
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with self.engine.context(*notes):
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# Try and infer the type from the default value.
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# This is tricky, because the default value might not have
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# a well-defined type in APython.
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# In this case, we bail out, but mention why we do it.
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ast = self._quote(param.default, None)
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Inferencer(engine=self.engine).visit(ast)
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IntMonomorphizer(engine=self.engine).visit(ast)
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return ast.type
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else:
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# Let the rest of the program decide.
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return types.TVar()
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def _quote_syscall(self, function, loc):
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signature = inspect.signature(function)
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@ -957,27 +951,28 @@ class Stitcher:
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"system calls must only use positional arguments; '{argument}' isn't",
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{"argument": param.name},
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self._function_loc(function),
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notes=self._call_site_note(loc, is_syscall=True))
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notes=self._call_site_note(loc, fn_kind='syscall'))
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self.engine.process(diag)
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if param.default is inspect.Parameter.empty:
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arg_types[param.name] = self._type_of_param(function, loc, param, is_syscall=True)
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arg_types[param.name] = self._type_of_param(function, loc, param,
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fn_kind='syscall')
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else:
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diag = diagnostic.Diagnostic("error",
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"system call argument '{argument}' must not have a default value",
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{"argument": param.name},
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self._function_loc(function),
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notes=self._call_site_note(loc, is_syscall=True))
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notes=self._call_site_note(loc, fn_kind='syscall'))
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self.engine.process(diag)
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if signature.return_annotation is not inspect.Signature.empty:
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ret_type = self._extract_annot(function, signature.return_annotation,
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"return type", loc, is_syscall=True)
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"return type", loc, fn_kind='syscall')
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else:
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diag = diagnostic.Diagnostic("error",
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"system call must have a return type annotation", {},
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self._function_loc(function),
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notes=self._call_site_note(loc, is_syscall=True))
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notes=self._call_site_note(loc, fn_kind='syscall'))
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self.engine.process(diag)
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ret_type = types.TVar()
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@ -1005,7 +1000,7 @@ class Stitcher:
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signature = inspect.signature(host_function.__func__)
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if signature.return_annotation is not inspect.Signature.empty:
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ret_type = self._extract_annot(host_function, signature.return_annotation,
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"return type", loc, is_syscall=False)
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"return type", loc, fn_kind='rpc')
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else:
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assert False
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@ -1077,7 +1072,7 @@ class Stitcher:
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diag = diagnostic.Diagnostic("fatal",
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"this function cannot be called as an RPC", {},
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self._function_loc(host_function),
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notes=self._call_site_note(loc, is_syscall=False))
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notes=self._call_site_note(loc, fn_kind='rpc'))
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self.engine.process(diag)
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else:
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assert False
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17
artiq/test/lit/embedding/annotation.py
Normal file
17
artiq/test/lit/embedding/annotation.py
Normal file
@ -0,0 +1,17 @@
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# RUN: env ARTIQ_DUMP_LLVM=%t %python -m artiq.compiler.testbench.embedding +compile %s
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# RUN: OutputCheck %s --file-to-check=%t.ll
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from artiq.language.core import *
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from artiq.language.types import *
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# CHECK: i64 @_Z13testbench.foozz\(i64 %ARG.x, \{ i1, i64 \} %ARG.y\)
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@kernel
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def foo(x: TInt64, y: TInt64 = 1) -> TInt64:
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print(x+y)
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return x+y
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@kernel
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def entrypoint():
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print(foo(0, 2))
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print(foo(1, 3))
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