def make_questions(self,valid,invalid,valid_history,invalid_history):
valid_num=random.randint(5,10)
invalid_num=15-valid_num
valids=[(x,True) for x in get_n(valid_num,valid,valid_history)]
invalids=[(x,False) for x in get_n(invalid_num,invalid,invalid_history)]
l=valids+invalids
random.shuffle(l)
return l
def start_game(self,func):
self.func=func
self.input_chain.func=self.func
self.valids,self.invalids=get_valid_invalid(func)
valids_sample=get_n(7,self.valids)
invalids_sample=get_n(7,self.invalids)
self.valid_history.reset()
self.invalid_history.reset()
for e in valids_sample:
self.valid_history.add(e)
for e in invalids_sample:
self.invalid_history.add(e)
self.to_game_mode()
sys.exit()
sys.stdout.write(sock.recv(4096) + 'start\n')
sock.send('start\n')
input_data = ''
sys.stdout.write(sock.recv(4096))
while True:
data = sock.recv(4096)
if not data:
print('-' * 20 + ' Connection closed ' + '-' * 20)
break
else:
sys.stdout.write(data)
if 'A resposta é:' in data:
input_data += data
n = get_n(input_data)
resp = '%d\n' % (solver(n))
sys.stdout.write(resp)
sock.send(resp)
input_data = ''
elif 'HACKAFLAG{' in data:
break
else:
input_data += data
sock.close()
sys.exit()
sys.stdout.write(sock.recv(4096) + 'start\n')
sock.send('start\n')
input_data = ''
sys.stdout.write(sock.recv(4096))
while True:
data = sock.recv(4096)
if not data:
print('-' * 20 + ' Connection closed ' + '-' * 20)
break
else:
sys.stdout.write(data)
if 'A resposta é:' in data:
input_data += data
valor = get_n(input_data)
resp = '%d\n' % (n_bugs(valor))
sys.stdout.write(resp)
sock.send(resp)
input_data = ''
elif 'HACKAFLAG{' in data:
break
else:
input_data += data
sock.close()
import lorem
from cryptography.hazmat.primitives import hashes
from cryptography.hazmat.primitives.asymmetric import padding
from cryptography.hazmat.primitives.serialization.base import Encoding, PublicFormat, NoEncryption
import constants
import utils
if __name__ == "__main__":
print("Creating a random document...")
# creating a new 2048 bit rsa key
print("Creating a new 2048 bit RSA key...")
sk = utils.new_rsa_key(2048)
pk = sk.public_key()
print("the key has N = {} and e = {}".format(utils.get_n(pk),
utils.get_e(pk)))
print("Creating a random latin-like sentence...")
doc = lorem.sentence()
print("Encrypting sentence...")
cipheredDoc = sk.public_key().encrypt(
doc.encode(),
padding.OAEP(mgf=padding.MGF1(algorithm=hashes.SHA256()),
algorithm=hashes.SHA256(),
label=None))
with open(constants.PLAINTEXT_PATH, 'w') as f:
print("Saving plain text version of text...")
f.write(doc)
with open(constants.PUBLIC_KEY_PATH, 'wb') as f:
print("Saving public key...")
f.write(sk.public_key().public_bytes(Encoding.PEM, PublicFormat.PKCS1))
with open(constants.CIPHERED_PATH, 'wb') as f:
import decimal
from decimal import Decimal
from math import sqrt
from cryptography.hazmat.primitives import hashes
from cryptography.hazmat.primitives.asymmetric import padding
import constants
import utils
if __name__ == "__main__":
pk = utils.load_public_key_file(constants.PUBLIC_KEY_PATH)
ctx = decimal.getcontext()
ctx.prec = 1 << 12
print("precision is {}".format(ctx.prec))
n = Decimal(utils.get_n(pk), ctx)
n_sqrt = n.sqrt(ctx).to_integral_exact()
p = 0
q = 0
print("Finding factors")
i = 0
while True:
i += 1
if i % 10000 == 0:
print("try n° {}, we are in {}".format(i, n_sqrt))
if n % n_sqrt == 0:
q = n_sqrt
print("found first factor!", q)
break
n_sqrt += 1
p = n // q
def get_TPI(b1vec, c1_guess, ss_params, params):
t1=time.time()
# r_guess: guess of interest rate path from period 1 to T1
beta, sigma, S, l_ub, b, upsilon, chi, A, alpha, delta, tpi_max_iter, tpi_tol, xi_tpi, T1, T2 = params
r_ss, w_ss, c_ss, n_ss, b_ss, K_ss, L_ss = ss_params
abs_tpi = 1
tpi_iter = 0
rpath_old = np.zeros(T2 + S - 1)
rpath_old[:T1] = get_path(r_ss, r_ss, T1, 'quadratic')
rpath_old[T1:] = r_ss
while abs_tpi > tpi_tol and tpi_iter < tpi_max_iter:
tpi_iter += 1
wpath_old = utils.get_w(rpath_old, (A, alpha, delta))
bmat = np.zeros((S, T2 + S - 1))
bmat[:, 0] = b1vec
bmat[:, T2:] = numpy.matlib.repmat(b_ss, S - 1, 1).T
nmat = np.zeros((S, T2 + S - 1))
nmat[:, T2:] = numpy.matlib.repmat(n_ss, S - 1, 1).T
cmat = np.zeros((S, T2 + S - 1))
cmat[:, T2:] = numpy.matlib.repmat(c_ss, S-1, 1).T
# Solve the incomplete remaining lifetime decisions of agents alive
# in period t=1 but not born in period t=1
for p in range(S): # p is remaining periods of life
c1_args = (rpath_old[:p + 1], wpath_old[:p + 1], beta, sigma, l_ub, b, upsilon, p + 1, b1vec[S - p - 1], chi[S-p-1:])
result_c1 = opt.root(utils.get_b_last, c1_guess, args = (c1_args))
if result_c1.success:
c1 = result_c1.x
else:
raise ValueError("failed to find an appropriate initial consumption")
# Calculate aggregate supplies for capital and labor
cvec = utils.get_c(c1, rpath_old[:p + 1], beta, sigma, p + 1)
# print (np.shape(cvec))
nvec = utils.get_n(cvec, sigma, l_ub, b, upsilon, wpath_old[:p + 1], p + 1,chi[S-p-1:])
bvec = utils.get_b(cvec, nvec, rpath_old[:p + 1], wpath_old[:p + 1], p + 1, bs = b1vec[S - p - 1])[1:]
# Insert the vector lifetime solutions diagonally (twist donut)
DiagMaskbp = np.eye(p)
bp_path = DiagMaskbp * bvec
bmat[S - p:, 1:p + 1] += bp_path
DiagMasknp = np.eye(p + 1)
np_path = DiagMasknp * nvec
nmat[S - p - 1:, :p + 1] += np_path
DiagMasknp = np.eye(p + 1)
c_path = DiagMasknp * cvec
cmat[S - p - 1:, :p + 1] += c_path
# Solve for complete lifetime decisions of agents born in periods
# 1 to T2 and insert the vector lifetime solutions diagonally (twist
# donut) into the cpath, bpath, and EulErrPath matrices
for t in range(1, T2):
c1_args = (rpath_old[t: S + t], wpath_old[t: S + t], beta, sigma, l_ub, b, upsilon, S, 0.0, chi)
result_c1 = opt.root(utils.get_b_last, c1_guess, args = (c1_args))
if result_c1.success:
c1 = result_c1.x
else:
raise ValueError("failed to find an appropriate initial consumption")
# Calculate aggregate supplies for capital and labor
cvec = utils.get_c(c1, rpath_old[t : S + t], beta, sigma, S)
nvec = utils.get_n(cvec, sigma, l_ub, b, upsilon, wpath_old[t: S + t], S, chi)
bvec = utils.get_b(cvec, nvec, rpath_old[t: S + t], wpath_old[t: S + t], S)
# print ("nvec,cvec,bvec: {}".format(np.shape(nvec),np.shape(cvec),np.shape(bvec)))
DiagMaskbt = np.eye(S)
bt_path = DiagMaskbt * bvec
bmat[:, t: t + S] += bt_path
DiagMasknp = np.eye(S)
np_path = DiagMasknp * nvec
nmat[:, t: t + S] += np_path
DiagMasknp = np.eye(S)
c_path = DiagMasknp * cvec
cmat[:, t: t + S] += c_path
bmat[:, T2:] = np.matlib.repmat(b_ss, S - 1, 1).T
nmat[:, T2:] = np.matlib.repmat(n_ss, S - 1, 1).T
cmat[:, T2:] = np.matlib.repmat(c_ss, S - 1, 1).T
K = utils.get_K(bmat)[0]
L = utils.get_L(nmat)[0]
Y = utils.get_Y(K, L, (A, alpha))
C = utils.get_C(cmat)
rpath_new = utils.get_r(K, L, (A, alpha, delta))
# Calculate the implied capital stock from conjecture and the error
abs_tpi = ((rpath_old[:T2] - rpath_new[:T2]) ** 2).sum()
# Update guess
rpath_old[:T2] = xi_tpi * rpath_new[:T2] + (1 - xi_tpi) * rpath_old[:T2]
print('iteration:', tpi_iter, ' squared distance: ', abs_tpi)
b_last = abs(bmat[S - 1, :]).max()
b_err = abs(utils.get_b_errors(cmat[:, :T2 + S - 1], rpath_old[:T2 + S - 1], beta, sigma)).max()
n_err = abs(utils.get_n_errors(nmat[:, :T2 + S - 1], cmat[:, :T2 + S - 1], sigma, l_ub, b,
upsilon, wpath_old[:T2 + S - 1], chi[0] * np.ones(T2 + S - 1))).max()
cnt_err = abs(Y[:-1] - C[:-1] - K[1:] + (1 - delta) * K[:-1]).max()
t2=time.time()
t=t2-t1
print (f'It took {t} seconds to solve TPI.')
k_first = [k for k in K if abs(k - K_ss) < 0.0001][0]
T_1 = np.where(K == k_first)[0][0]
return rpath_old, wpath_old, K, L, bmat, nmat, cmat, b_last, b_err, n_err, cnt_err, T_1