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Solve the following problem using Python, implementing the functions described below, one line at a time
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Description:
 def gen_for(self, node, target, local_iter, local_iter_decl, loop_body):
 """ Create For representation on iterator for Cxx generation. Examples -------- >> "omp parallel for" >> for i in xrange(10):
 Becomes >> "omp parallel for shared(__iterX)" >> for(decltype(__iterX):
:iterator __targetX = __iterX.begin(); __targetX < __iterX.end(); ++__targetX) >> auto&& i = *__targetX; It the case of not local variable, typing for `i` disappear and typing is removed for iterator in case of yields statement in function. """

        # Choose target variable for iterator (which is iterator type)
        local_target = "__target{0}".format(id(node))
        local_target_decl = self.types.builder.IteratorOfType(local_iter_decl)

        # If variable is local to the for body it's a ref to the iterator value
        # type
        if node.target.id in self.scope[node] and not hasattr(self, 'yields'):
            local_type = "auto&&"
        else:
            local_type = ""

        # Assign iterable value
        loop_body_prelude = Statement("{} {}= *{}".format(local_type,
                                                          target,
                                                          local_target))

        # Create the loop
        assign = self.make_assign(local_target_decl, local_target, local_iter)
        loop = For("{}.begin()".format(assign),
                   "{0} < {1}.end()".format(local_target, local_iter),
                   "++{0}".format(local_target),
                   Block([loop_body_prelude, loop_body]))
        return [self.process_omp_attachements(node, loop)]