def yfile_to_yvector(name, yvec_run, modelo, ins_run, zvec_run):
vec = []
# Zero à esquerda
yvec_run = int_to_str(yvec_run)
zvec_run = int_to_str(zvec_run)
ins_run = int_to_str(ins_run)
path = "Datasets/" + name + "/Respostas/Y-m" + str(modelo) + "|Z#" + zvec_run + "|ins#" + ins_run + "|beta#" + beta_run + "|#" + yvec_run + ".txt"
tf = open(path, "r")
# Lê o arquivo
for i in tf:
vec.append(np.float64(i))
tf.close()
return(vec)
def yvector_to_yfile(vec, modelo, name, ins_run, zvec_run, beta_run):
N = len(vec)
path = "Datasets/" + name + "/Respostas/"
zvec_run = int_to_str(zvec_run)
ins_run = int_to_str(ins_run)
beta_run = int_to_str(beta_run)
run = len([ x for x in listdir(path) if ("m" + str(modelo)) in x
and ("Z#" + zvec_run) in x and ("ins#" + ins_run) in x]) + 1
run = int_to_str(run)
path += "Y-m" + str(modelo) + "|Z#" + zvec_run + "|ins#" + ins_run + "|beta#" + beta_run + "|#" + run + ".txt"
arq = open(path, "w")
# Escreve no arquivo
for i in range(N):
arq.write("{}\n".format(vec[i]))
arq.close()
return(int(run))
def beta_vector_to_file(beta_vector, name, model):
N = len(beta_vector)
path = "Datasets/" + name + "/Betas/"
run = len([ x for x in listdir(path) if ("m" + str(model)) in x ]) + 1
# Zero à esquerda
run = int_to_str(run)
path += "Beta-m" + str(model) + "|#" + run + ".txt"
arq = open(path, "w")
# Escreve no arquivo
for i in range(N):
arq.write("{}\n".format(beta_vector[i]))
arq.close()
return(int(run))
def zvector_to_zfile(vec, name):
N = len(vec)
path = "Datasets/" + name + "/Tratamentos/"
run = len(listdir(path)) + 1
# Zero à esquerda
run = int_to_str(run)
path += "Z-#" + run + ".txt"
arq = open(path, "w")
# Escreve no arquivo
for i in range(N):
arq.write("{}\n".format(vec[i]))
arq.close()
return(int(run))
def ins_to_file(ins, name, model):
if model == 1:
return(-1)
N = len(ins)
path = "Datasets/" + name + "/Ins/"
run = len([ x for x in listdir(path) if ("m" + str(model)) in x ]) + 1
# Zero à esquerda
run = int_to_str(run)
path += "ins-m" + str(model) + "|#" + run + ".txt"
arq = open(path, "w")
# Escreve no arquivo
for i in range(N):
arq.write("{}\n".format(ins[i]))
arq.close()
return(int(run))
def file_to_ins(name, model, run):
ins = []
# Zero à esquerda
run = int_to_str(run)
path = "Datasets/" + name + "/Ins/ins-m" + str(model) + "|#" + run + ".txt"
tf = open(path, "r")
# Lê o arquivo
for i in tf:
if i[0] is "T":
ins.append(bool(1))
elif i[0] is "F":
ins.append(bool(0))
elif model is 4 and "." not in i:
ins.append(int(i))
else:
ins.append(np.float64(i))
tf.close()
return(ins)
def file_to_beta_vector(name, model, run):
beta_vector = []
# Zero à esquerda
run = int_to_str(run)
path = "Datasets/" + name + "/Betas/Beta-m" + str(model) + "|#" + run + ".txt"
tf = open(path, "r")
# Lê o arquivo
for i in tf:
if i[0] is "T":
beta_vector.append(bool(1))
elif i[0] is "F":
beta_vector.append(bool(0))
elif model is 4 and "." not in i:
beta_vector.append(int(i))
else:
beta_vector.append(np.float64(i))
tf.close()
return(beta_vector)
def zfile_to_zvector(name, run):
treatment = []
# Zero à esquerda
run = int_to_str(run)