def index():
user = get_current_user()
date = datetime.now().strftime('%A, %B %d')
year = datetime.utcnow().year
if not user:
return render_template('login.html', app_id=FACEBOOK_APP_ID,
channel_url=channel(), name=FACEBOOK_APP_NAME,
year=year)
if user.consented:
try:
graph = facebook.GraphAPI(user.get_short_term_token().access_token)
profile = graph.get_object('me')
# Decide what form we want to show the user
if user.has_answered_advanced_questions_recently():
mood_form = BasicMoodForm()
else:
mood_form = AdvancedMoodForm()
return render_template('index.html',
access_token=user.get_short_term_token() \
.access_token,
app_id=FACEBOOK_APP_ID,
channel_url=channel(), date=date,
mood_form=mood_form,
me=profile, name=FACEBOOK_APP_NAME,
user=user, year=year)
except facebook.GraphAPIError:
return render_template('login.html', app_id=FACEBOOK_APP_ID,
channel_url=channel(),
name=FACEBOOK_APP_NAME, year=year)
else:
graph = facebook.GraphAPI(user.get_short_term_token().access_token)
profile = graph.get_object('me')
return render_template('consent.html', consent_form=ConsentForm(),
me=profile, user=user)
# Train Decoder
# -----------------
for idx in range(args.num_train_Dec):
optimizer_Dec.zero_grad()
# Sample noise as generator input
#z = Variable(Tensor(np.random.normal(0, 1, (imgs.shape[0], args.latent_dim))))
u = torch.randint(0, 2, (args.block_len, 1),
dtype=torch.float).to(device)
# Generate a batch of images
gen_imgs = generator(real_imgs, u)
# Loss measures generator's ability to fool the discriminator
received_imgs = channel(gen_imgs,
args.noise_std,
channel_type=args.channel_type,
device=device)
decoded_info = decoder(received_imgs)
# train decoder only for decoder.
dec_loss = BCELoss(decoded_info, u)
dec_loss.backward()
optimizer_Dec.step()
# ---------------------
# Train Discriminator
# ---------------------
for idx in range(args.num_train_D):
optimizer_D.zero_grad()
from math import sqrt
from utils import channel, binary_channel, hamming_distance, get_distribution, np_to_number
from utils import compute_mutual, compute_joint, compute_marginal_z, uniform_error_channel
from utils import verify_encoder_decoder, verify_encoder_channel_decoder, get_many_z_bsc
from tqdm import tqdm
import matplotlib.pyplot as plt
from itertools import product
from mpl_toolkits.mplot3d import Axes3D
print("TASK 1\n")
x = np.array([1, 0, 0, 1, 0, 0, 0])
z = []
y = []
for i in tqdm(range(10**6)):
legitimate, eve = channel(x)
y.append(legitimate)
z.append(eve)
y_unique, y_counts = np.unique(y, return_counts=True, axis=0)
z_unique, z_counts = np.unique(z, return_counts=True, axis=0)
combinations = np.concatenate([y, z], axis=1)
comb_unique, comb_counts = np.unique(combinations, return_counts=True, axis=0)
p_z = np.zeros((2**7))
p_y = np.zeros((2**7))
p_yz = np.zeros((2**14))
y_unique = [np_to_number(i) for i in y_unique]
z_unique = [np_to_number(i) for i in z_unique]
comb_unique = [np_to_number(i) for i in comb_unique]
p_z[z_unique] = z_counts / np.sum(z_counts)
p_y[y_unique] = y_counts / np.sum(y_counts)
def __init__(self):
grc_wxgui.top_block_gui.__init__(self, title="Communication System Graphical Analyzer (LAPS/UFCG)")
##################################################
# Default Variables
##################################################
self.sps = 2
self.snr = 20
self.symbol_rate = 140000
self.mod_type = "DBPSK"
self.view = 1
self.band= 200
self.excess_bw=0.35
self.fading_flag = False
self.fdts = -8
self.fading_state_rx = False
##################################################
# Blocks Definition
##################################################
#A bit stream of 1's is generated at the source, scrambled,
#modulated and sent to the input of an AWGN channel.
#random.seed(42)
#self.source = gr.vector_source_b([random.randint(0, 2) for i in range(0,10^8)], True)
self.source = gr.vector_source_b((1,), True, 1)
self.thottle = gr.throttle(gr.sizeof_char,10e5)
self.scrambler = gr.scrambler_bb(0x40801, 0x92F72, 20) #Taxa de simbolos constante
self.pack = gr.unpacked_to_packed_bb(1, gr.GR_MSB_FIRST)
self.modulator = utils.mods[self.mod_type](self.sps,excess_bw=self.excess_bw)
self.channel = utils.channel(1/10.0**(self.snr/10.0),self.band,self.symbol_rate,self.sps)
#The noisy signal is demodulated, descrambled and the BER
#is estimated by the ber_estim block using the receiver
#density of 0 bits.
self.demodulator = utils.demods[self.mod_type](self.sps,excess_bw=self.excess_bw)
self.descrambler = gr.descrambler_bb(0x40801, 0x92F72, 20)
self.char2float = gr.char_to_float()
self.mov_average = gr.moving_average_ff(524288, 1/524288., 10000)
self.ber = utils.ber_estim()
#self.ber = utils.ber_estim_simple(3)
##################################################
# GUI Elements Definition
##################################################
#Defines an adds FFT Window to GUI
self.fft = fftsink.fft_sink_c(self.GetWin(), sample_rate=self.symbol_rate*self.sps, baseband_freq=5e6)
self.GridAdd(self.fft.win, 0,3,4,3)
self.ctr= gr.complex_to_real(1)
#Defines and adds SNR slider to GUI
_snr_sizer = wx.BoxSizer(wx.HORIZONTAL)
self._snr_text_box = forms.text_box(parent=self.GetWin(),
sizer=_snr_sizer, value=self.snr, callback=self.callback_snr,
label=" SNR (dB)", converter=forms.float_converter(),
proportion=0)
self._snr_slider = forms.slider(parent=self.GetWin(),
sizer=_snr_sizer, value=self.snr, callback=self.callback_snr,
minimum=0, maximum=20, style=wx.RA_HORIZONTAL, proportion=1)
self.GridAdd(_snr_sizer, 4, 3, 1, 3)
#Defines and adds bandwidth slider to GUI
band_sizer = wx.BoxSizer(wx.HORIZONTAL)
self.band_text_box = forms.text_box(parent=self.GetWin(),
sizer=band_sizer, value=self.band, callback=self.callback_band,
label="Bandwidth (kHz)", converter=forms.float_converter(),
proportion=0)
self.band_slider = forms.slider(parent=self.GetWin(),
sizer=band_sizer, value=self.band, callback=self.callback_band,
minimum=30, maximum=200, style=wx.RA_HORIZONTAL, proportion=1)
self.GridAdd(band_sizer, 5, 3, 1, 3)
#Defines and adds Rayleigh GUI elements
fading_sizer = wx.BoxSizer(wx.HORIZONTAL)
self.fading_text_box = forms.text_box(parent=self.GetWin(),
sizer=fading_sizer, value=self.fdts, callback=self.callback_fading,
label='Fading/log(FdTs)', converter=forms.float_converter(),
proportion=0)
self.fading_slider = forms.slider(parent=self.GetWin(),
sizer=fading_sizer, value=self.fdts, callback=self.callback_fading,
minimum=-8, maximum=-2, style=wx.RA_HORIZONTAL, proportion=1)
self.GridAdd(fading_sizer, 6, 3, 1, 3)
#Defines and adds modulation type chooser to GUI
self._mod_type_chooser = forms.radio_buttons(parent=self.GetWin(),
value=self.mod_type, callback=self.set_mod_type,
label="Modulation", choices=["DBPSK", "DQPSK", "D8PSK"],
labels=["DBPSK", "DQPSK", "D8PSK"], style=wx.RA_HORIZONTAL)
self.GridAdd(self._mod_type_chooser, 7, 4, 1, 2)
#Defines and adds signal source chooser
self.sig_src_chooser = forms.radio_buttons(parent=self.GetWin(),
value=self.view, callback=self.callback_view,
label="Signal Source", choices=[0,1],
labels=["Transmitter","Receiver"], style=wx.RA_VERTICAL)
self.GridAdd(self.sig_src_chooser, 7,3,1,1)
#Definition of the of constellation window and attachment to the GUI
self.constel = constsink.const_sink_c(self.GetWin(),
title="RX Constellation Plot", sample_rate=self.symbol_rate,
const_size=256, mod=self.mod_type)
self.GridAdd(self.constel.win,0,0,8,3)
#Definition of the constellation sink window and attachment to the GUI
self.number_sink = bersink.number_sink_f(self.GetWin(),
sample_rate=self.symbol_rate)
self.GridAdd(self.number_sink.win,8,0,1,6)
##################################################
# Blocks Connections
##################################################
#The necessary block connections to the system work as described above.
self.connect(self.source, self.scrambler , self.thottle, self.pack)
#self.connect(self.source , self.thottle, self.pack)
self.connect(self.pack, self.modulator, self.channel, self.demodulator)
self.connect(self.channel, self.fft)
self.connect(self.demodulator.diffdec, self.constel)
self.connect(self.demodulator, self.descrambler, self.char2float, self.mov_average)
self.connect(self.mov_average, self.ber, self.number_sink)
foutput = netED(fake_enc.detach()).view(-1)
errED_fake2 = criterion(foutput, labelf)
errED_fake2.backward()
errED_2 = errED_fake2 - errED_fake1
errED = (errED_1 + errED_2) / 2.0
optimizerED.step()
########## Train decoder, maximize decinfoloss ################################
netDec.zero_grad()
# forward pass fake encoded images
#fake_enc = netE(fake_img.detach(),u)
# add noise to image
nfake_enc = channel(fake_enc.detach(), args.noise)
foutput = netDec(nfake_enc)
errDec_fakeenc = criterion(foutput,u)
errDec_fakeenc.backward()
fber = errors_ber(foutput, u)
#forward pass real encoded images
# add noise to enc image
nenc_img = channel(enc_img.detach(), args.noise)
routput = netDec(nenc_img)
errDec_realenc = criterion(routput,u)
errDec_realenc.backward()
rber = errors_ber(routput, u)
errDec = (errDec_fakeenc + errDec_realenc)/2.0
#errDec.backward()
def __init__(self):
grc_wxgui.top_block_gui.__init__(
self, title="Communication System Graphical Analyzer (LAPS/UFCG)")
##################################################
# Default Variables
##################################################
self.sps = 2
self.snr = 20
self.symbol_rate = 140000
self.mod_type = "DBPSK"
self.view = 1
self.band = 200
self.excess_bw = 0.35
self.fading_flag = False
self.fdts = -8
self.fading_state_rx = False
##################################################
# Blocks Definition
##################################################
#A bit stream of 1's is generated at the source, scrambled,
#modulated and sent to the input of an AWGN channel.
#random.seed(42)
#self.source = gr.vector_source_b([random.randint(0, 2) for i in range(0,10^8)], True)
self.source = gr.vector_source_b((1, ), True, 1)
self.thottle = gr.throttle(gr.sizeof_char, 10e5)
self.scrambler = gr.scrambler_bb(0x40801, 0x92F72,
20) #Taxa de simbolos constante
self.pack = gr.unpacked_to_packed_bb(1, gr.GR_MSB_FIRST)
self.modulator = utils.mods[self.mod_type](self.sps,
excess_bw=self.excess_bw)
self.channel = utils.channel(1 / 10.0**(self.snr / 10.0), self.band,
self.symbol_rate, self.sps)
#The noisy signal is demodulated, descrambled and the BER
#is estimated by the ber_estim block using the receiver
#density of 0 bits.
self.demodulator = utils.demods[self.mod_type](
self.sps, excess_bw=self.excess_bw)
self.descrambler = gr.descrambler_bb(0x40801, 0x92F72, 20)
self.char2float = gr.char_to_float()
self.mov_average = gr.moving_average_ff(524288, 1 / 524288., 10000)
self.ber = utils.ber_estim()
#self.ber = utils.ber_estim_simple(3)
##################################################
# GUI Elements Definition
##################################################
#Defines an adds FFT Window to GUI
self.fft = fftsink.fft_sink_c(self.GetWin(),
sample_rate=self.symbol_rate * self.sps,
baseband_freq=5e6)
self.GridAdd(self.fft.win, 0, 3, 4, 3)
self.ctr = gr.complex_to_real(1)
#Defines and adds SNR slider to GUI
_snr_sizer = wx.BoxSizer(wx.HORIZONTAL)
self._snr_text_box = forms.text_box(parent=self.GetWin(),
sizer=_snr_sizer,
value=self.snr,
callback=self.callback_snr,
label=" SNR (dB)",
converter=forms.float_converter(),
proportion=0)
self._snr_slider = forms.slider(parent=self.GetWin(),
sizer=_snr_sizer,
value=self.snr,
callback=self.callback_snr,
minimum=0,
maximum=20,
style=wx.RA_HORIZONTAL,
proportion=1)
self.GridAdd(_snr_sizer, 4, 3, 1, 3)
#Defines and adds bandwidth slider to GUI
band_sizer = wx.BoxSizer(wx.HORIZONTAL)
self.band_text_box = forms.text_box(parent=self.GetWin(),
sizer=band_sizer,
value=self.band,
callback=self.callback_band,
label="Bandwidth (kHz)",
converter=forms.float_converter(),
proportion=0)
self.band_slider = forms.slider(parent=self.GetWin(),
sizer=band_sizer,
value=self.band,
callback=self.callback_band,
minimum=30,
maximum=200,
style=wx.RA_HORIZONTAL,
proportion=1)
self.GridAdd(band_sizer, 5, 3, 1, 3)
#Defines and adds Rayleigh GUI elements
fading_sizer = wx.BoxSizer(wx.HORIZONTAL)
self.fading_text_box = forms.text_box(
parent=self.GetWin(),
sizer=fading_sizer,
value=self.fdts,
callback=self.callback_fading,
label='Fading/log(FdTs)',
converter=forms.float_converter(),
proportion=0)
self.fading_slider = forms.slider(parent=self.GetWin(),
sizer=fading_sizer,
value=self.fdts,
callback=self.callback_fading,
minimum=-8,
maximum=-2,
style=wx.RA_HORIZONTAL,
proportion=1)
self.GridAdd(fading_sizer, 6, 3, 1, 3)
#Defines and adds modulation type chooser to GUI
self._mod_type_chooser = forms.radio_buttons(
parent=self.GetWin(),
value=self.mod_type,
callback=self.set_mod_type,
label="Modulation",
choices=["DBPSK", "DQPSK", "D8PSK"],
labels=["DBPSK", "DQPSK", "D8PSK"],
style=wx.RA_HORIZONTAL)
self.GridAdd(self._mod_type_chooser, 7, 4, 1, 2)
#Defines and adds signal source chooser
self.sig_src_chooser = forms.radio_buttons(
parent=self.GetWin(),
value=self.view,
callback=self.callback_view,
label="Signal Source",
choices=[0, 1],
labels=["Transmitter", "Receiver"],
style=wx.RA_VERTICAL)
self.GridAdd(self.sig_src_chooser, 7, 3, 1, 1)
#Definition of the of constellation window and attachment to the GUI
self.constel = constsink.const_sink_c(self.GetWin(),
title="RX Constellation Plot",
sample_rate=self.symbol_rate,
const_size=256,
mod=self.mod_type)
self.GridAdd(self.constel.win, 0, 0, 8, 3)
#Definition of the constellation sink window and attachment to the GUI
self.number_sink = bersink.number_sink_f(self.GetWin(),
sample_rate=self.symbol_rate)
self.GridAdd(self.number_sink.win, 8, 0, 1, 6)
##################################################
# Blocks Connections
##################################################
#The necessary block connections to the system work as described above.
self.connect(self.source, self.scrambler, self.thottle, self.pack)
#self.connect(self.source , self.thottle, self.pack)
self.connect(self.pack, self.modulator, self.channel, self.demodulator)
self.connect(self.channel, self.fft)
self.connect(self.demodulator.diffdec, self.constel)
self.connect(self.demodulator, self.descrambler, self.char2float,
self.mov_average)
self.connect(self.mov_average, self.ber, self.number_sink)
def post_mood():
current_user = get_current_user()
if current_user:
short_term_token = current_user.get_short_term_token().access_token
try:
graph = facebook.GraphAPI(short_term_token)
profile = graph.get_object('me')
# Decide what form we want to show the user
if current_user.has_answered_advanced_questions_recently():
form = BasicMoodForm()
if form.validate_on_submit():
mood_rating = form.moods.data
mood = Mood(rating=mood_rating)
current_user.moods.append(mood)
db.session.commit()
return redirect('/')
else:
return render_template('index.html',
access_token=short_term_token,
app_id=FACEBOOK_APP_ID,
channel_url=channel(), form=form,
me=profile, name=FACEBOOK_APP_NAME,
user=current_user)
else:
form = AdvancedMoodForm()
if form.validate_on_submit():
mood_rating = form.moods.data
hospital = form.hospital.data
hospital_reason = form.hospital_reason.data
medication = form.medication.data
medication_reason = form.medication_reason.data
mood = Mood(rating=mood_rating, hospital=hospital,
hospital_bipolar_related=hospital_reason,
medication=medication,
medication_bipolar_related=medication_reason)
current_user.moods.append(mood)
db.session.commit()
return redirect('/')
else:
return render_template('index.html',
access_token=short_term_token,
app_id=FACEBOOK_APP_ID,
channel_url=channel(), form=form,
me=profile, name=FACEBOOK_APP_NAME,
user=current_user)
except facebook.GraphAPIError:
pass
return render_template('login.html', app_id=FACEBOOK_APP_ID,
channel_url=channel(), name=FACEBOOK_APP_NAME)
