def p_seen_local_variable(p):
"""Seen_Local_Variable : """
type = p[-4]
if type[0] == "i" or type[0] == "f":
size = 4
else:
size = 1
# Check if variable has dimensions
if len(state.arr_dim) > 0:
# Multiplies all the items in the dimensions list
elements = reduce(lambda x, y: x * y, state.arr_dim) # Number of elements in the array
for dim in state.arr_dim:
type += "[]"
sem.fill_local_variables_table(p[-3], type, [elements * size] + state.arr_dim, state.arr_m_list)
state.arr_dim = []
state.arr_r = 1
state.arr_m_list = []
else:
sem.fill_local_variables_table(p[-3], type, [size, 1], None)
p[0] = type
def p_seen_local_variable_1(p):
"""Seen_Local_Variable1 : """
type = p[-3]
if type[0] == "i" or type[0] == "f":
size = 4
else:
size = 1
# Check if variable has dimensions
if len(state.arr_dim) > 0:
dims = [0] # List to hold temporal values of dimensions
m_list = [] # List to hold temporal values of m
# Appends brackets to type for each dimension
for dim in state.arr_dim:
type += "[]"
dims.append(-1)
m_list.append(-1)
sem.fill_local_variables_table(p[-2], type, dims, m_list) # Temporal values
state.arr_dim = []
else:
sem.fill_local_variables_table(p[-2], type, [size, 1], None)
p[0] = type
