Exemplo n.º 1
0
    def do_prepare(self):
        super(Map, self).do_prepare()

        self.filter_expr = check_type(
            self.filter_fn, types.FunctionType,
            "Filter expression passed to a collection expression must be a "
            "lambda or a function"
        )(self.element_var)

        self.take_while_expr = check_type(
            self.take_while_pred, types.FunctionType,
            "Take while expression passed to a collection expression must be a"
            " lambda or a function"
        )(self.element_var)

        # If the element transformation function is actually the built-in
        # identity function, try instead to get the source name of the loop
        # variable from the other functions.
        if self.element_var.source_name is None:
            for fn in (self.filter_fn, self.take_while_pred):
                if fn not in builtin_collection_functions:
                    argspec = inspect.getargspec(fn)
                    self.element_var.source_name = names.Name.from_lower(
                        argspec.args[0]
                    )
                    break
Exemplo n.º 2
0
    def do_prepare(self):
        super(Map, self).do_prepare()

        self.filter_expr = check_type(
            self.filter_fn, types.FunctionType,
            "Filter expression passed to a collection expression must be a "
            "lambda or a function")(self.element_var)

        self.take_while_expr = check_type(
            self.take_while_pred, types.FunctionType,
            "Take while expression passed to a collection expression must be a"
            " lambda or a function")(self.element_var)
Exemplo n.º 3
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    def do_prepare(self):
        super(Map, self).do_prepare()

        self.filter_expr = check_type(
            self.filter_fn, types.FunctionType,
            "Filter expression passed to a collection expression must be a "
            "lambda or a function"
        )(self.element_var)

        self.take_while_expr = check_type(
            self.take_while_pred, types.FunctionType,
            "Take while expression passed to a collection expression must be a"
            " lambda or a function"
        )(self.element_var)
Exemplo n.º 4
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    def construct(self):
        array_1 = construct(self.array_1)
        array_2 = construct(self.array_2)

        # TODO: We don't use the type param to construct because construct will
        # try to cast arrays to the base array type. Would be better if
        # construct handled that correctly.
        check_type(array_1.type, ArrayType)
        check_type(array_2.type, ArrayType)

        check_multiple([
            (array_1.type == array_2.type,
             "Got different array element types in concat: {} and {}".format(
                 array_1.type.element_type().name(),
                 array_2.type.element_type().name())),
        ])

        return BuiltinCallExpr("Concat", array_1.type, [array_1, array_2],
                               "Concat_Result")
Exemplo n.º 5
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    def construct(self):
        array_1 = construct(self.array_1)
        array_2 = construct(self.array_2)

        # TODO: We don't use the type param to construct because construct will
        # try to cast arrays to the base array type. Would be better if
        # construct handled that correctly.
        check_type(array_1.type, ArrayType)
        check_type(array_2.type, ArrayType)

        check_multiple([
            (array_1.type == array_2.type,
             "Got different array element types in concat: {} and {}".format(
                 array_1.type.element_type().name(),
                 array_2.type.element_type().name()
             )),
        ])

        return BuiltinCallExpr(
            "Concat", array_1.type, [array_1, array_2], "Concat_Result"
        )
Exemplo n.º 6
0
    def prepare_iter_function(
        self,
        what: str,
        expr_fn: Union[Callable[[AbstractExpression], AbstractExpression],
                       Callable[[AbstractExpression, AbstractExpression],
                                AbstractExpression]]
    ) -> AbstractExpression:
        """
        Validate an iteration function, whether it only takes the iteration
        element or also the iteration index.

        Return the abstract expression to evaluate for each iteration.

        :param what: Purpose of this function. Used for diagnostics.
        :param expr_fn: Function to prepare.
        """
        check_type(
            expr_fn,
            types.FunctionType,
            "{what} passed to a collection expression must be a lambda or a"
            " function"
        )

        argspec = inspect.getargspec(expr_fn)

        check_multiple([
            (len(argspec.args) in (1, 2),
             'Invalid collection iteration lambda: only one'
             ' or two parameters expected'),
            (not argspec.varargs and not argspec.keywords,
             'Invalid collection iteration lambda: no *args or **kwargs'),
            (not argspec.defaults,
             'Invalid collection iteration lambda: No default values allowed'
             ' for arguments')
        ])

        # Get source names for the iteration variables
        index_required = False
        index_varname: Optional[str] = None
        element_varname: Optional[str] = None
        if len(argspec.args) == 2:
            index_required = True
            self.requires_index = True
            index_varname = argspec.args[0]
            element_varname = argspec.args[1]
        else:
            element_varname = argspec.args[0]

        # We are interested in names from user sources: disregard names from
        # the default functions function we define here.
        if expr_fn in builtin_collection_functions:
            index_varname = None
            element_varname = None

        # Make sure we have an iteration element variable
        self.element_var = self.create_iteration_var(
            self.element_var, "Item", element_varname
        )

        # Expand the function. If the index is required, make sure we have an
        # iteration variable for it.
        if index_required:
            self.index_var = self.create_iteration_var(
                self.index_var, "Index", index_varname, T.Int
            )
            expr = expr_fn(self.index_var, self.element_var)  # type: ignore
        else:
            expr = expr_fn(self.element_var)  # type: ignore

        return unsugar(expr)