def p_clear_current_dimension(p):
"""Clear_Current_Dimension : """
expr.add_operator("#")
state.arr_parsing = True
# state.assign_list = []
state.arr_current_dim = 0
p[0] = p[-1]
def p_seen_call(p):
"""Seen_Call : """
state.func_parsing = True
expr.add_operator("#")
state.return_dir_stack.append(state.temp_dir)
func_name = p[-2]
state.current_call = func_name
type = sem.func_table[func_name][0][0] # [[primitive, dir, size, scope], dir, size]
if type != "void": # Function has a return value
if type[0] == "i" or type[0] == "f":
size = 4
else:
size = 1
# Creates a temporal to save return value
func.generate_era(func_name, [func_name, [type, state.temp_dir, [size, 1], "t"]])
state.temp_dir -= size
else:
func.generate_era(func_name, None)
state.assign_list.append(type)
def p_update_offset(p):
"""Update_Offset : """
var = sem.get_variable(p[-2])
type = var[1][0]
expr.add_operator("#")
for x in range(state.arr_current_dim - 1):
expr.add_operator("+")
expr.generate_quad(2) # Generates quads to sum all the indices
if type[0] == "i" or type[0] == "f":
sem.fill_symbol_table_constant(4, "int", 4)
expr.add_operand(sem.get_variable(4))
expr.add_operator("*")
expr.generate_quad(1)
expr.pop_operator()
def p_seen_operator(p):
"""Seen_Operator : """
expr.add_operator(p[-1])
p[0] = p[-1]
def p_seen_unary_operator(p):
"""Seen_Unary_Operator : """
expr.add_operator("u" + str(p[-1]))
p[0] = p[-1]