def private_key(algorithm, tokens, affordances):
key_create_time = float('-inf')
while True:
if _time() - key_create_time > algorithm.private_key_lifespan:
key = _b64encode(str(_random()))
key_create_time = _time()
yield key
def nonce():
"""
Returns a new nonce to be used with the Piazza API.
"""
nonce_part1 = _int2base(int(_time() * 1000), 36)
nonce_part2 = _int2base(round(_random() * 1679616), 36)
return "{}{}".format(nonce_part1, nonce_part2)
def SASLHandler(self, conn, challenge):
if challenge.getNamespace() != NS_SASL:
return None
if challenge.getName() == "failure":
self.startsasl = "failure"
try:
reason = challenge.getChildren()[0]
except Exception:
reason = challenge
self.DEBUG("Failed SASL authentification: %s" % reason, "error")
raise NodeProcessed()
elif challenge.getName() == "success":
self.startsasl = "success"
self.DEBUG("Successfully authenticated with remote server.", "ok")
handlers = self._owner.Dispatcher.dumpHandlers()
self._owner.Dispatcher.PlugOut()
dispatcher.Dispatcher().PlugIn(self._owner)
self._owner.Dispatcher.restoreHandlers(handlers)
self._owner.User = self.username
raise NodeProcessed()
incoming_data = challenge.getData()
chal = {}
data = decodestring(incoming_data)
self.DEBUG("Got challenge:" + data, "ok")
for pair in re_findall('(\w+\s*=\s*(?:(?:"[^"]+")|(?:[^,]+)))', data):
key, value = [x.strip() for x in pair.split("=", 1)]
if value[:1] == '"' and value[-1:] == '"':
value = value[1:-1]
chal[key] = value
if "qop" in chal and "auth" in [x.strip() for x in chal["qop"].split(",")]:
resp = {}
resp["username"] = self.username
resp["realm"] = self._owner.Server
resp["nonce"] = chal["nonce"]
cnonce = ""
for i in xrange(7):
cnonce += hex(int(_random() * 65536 * 4096))[2:]
resp["cnonce"] = cnonce
resp["nc"] = ("00000001")
resp["qop"] = "auth"
resp["digest-uri"] = "xmpp/" + self._owner.Server
A1 = C([H(C([resp["username"], resp["realm"], self.password])), resp["nonce"], resp["cnonce"]])
A2 = C(["AUTHENTICATE", resp["digest-uri"]])
response = HH(C([HH(A1), resp["nonce"], resp["nc"], resp["cnonce"], resp["qop"], HH(A2)]))
resp["response"] = response
resp["charset"] = "utf-8"
sasl_data = ""
for key in ("charset", "username", "realm", "nonce", "nc", "cnonce", "digest-uri", "response", "qop"):
if key in ("nc", "qop", "response", "charset"):
sasl_data += "%s=%s," % (key, resp[key])
else:
sasl_data += "%s=\"%s\"," % (key, resp[key])
node = Node("response", attrs={"xmlns": NS_SASL}, payload=[encodestring(sasl_data[:-1]).replace("\r", "").replace("\n", "")])
self._owner.send(node.__str__())
elif "rspauth" in chal:
self._owner.send(Node("response", attrs={"xmlns": NS_SASL}).__str__())
else:
self.startsasl = "failure"
self.DEBUG("Failed SASL authentification: unknown challenge", "error")
raise NodeProcessed()
def __init__(self, *args, **kwargs):
super().__init__(*args, **kwargs)
self.wander_angle = randint(0, 359)
self.velocity = Vector(-1, 0).rotate(self.wander_angle).scale(
self.speed * _random())
self.state = state.wander
self.target = None
def build_rand_real_data(size, n):
x = []
for i in range(size):
y = []
for j in range(n):
y.append(_random())
x.append(y)
return x
def SASLHandler(self,conn,challenge):
""" Perform next SASL auth step. Used internally. """
if challenge.getNamespace()<>NS_SASL: return
if challenge.getName()=='failure':
self.startsasl='failure'
try: reason=challenge.getChildren()[0]
except: reason=challenge
self.DEBUG('Failed SASL authentification: %s'%reason,'error')
raise NodeProcessed
elif challenge.getName()=='success':
self.startsasl='success'
self.DEBUG('Successfully authenticated with remote server.','ok')
handlers=self._owner.Dispatcher.dumpHandlers()
self._owner.Dispatcher.PlugOut()
dispatcher.Dispatcher().PlugIn(self._owner)
self._owner.Dispatcher.restoreHandlers(handlers)
self._owner.User=self.username
raise NodeProcessed
########################################3333
incoming_data=challenge.getData()
chal={}
data=decodestring(incoming_data)
self.DEBUG('Got challenge:'+data,'ok')
for pair in re_findall('(\w+\s*=\s*(?:(?:"[^"]+")|(?:[^,]+)))',data):
key,value=[x.strip() for x in pair.split('=', 1)]
if value[:1]=='"' and value[-1:]=='"': value=value[1:-1]
chal[key]=value
if chal.has_key('qop') and 'auth' in [x.strip() for x in chal['qop'].split(',')]:
resp={}
resp['username']=self.username
resp['realm']=self._owner.Server
resp['nonce']=chal['nonce']
cnonce=''
for i in range(7):
cnonce+=hex(int(_random()*65536*4096))[2:]
resp['cnonce']=cnonce
resp['nc']=('00000001')
resp['qop']='auth'
resp['digest-uri']='xmpp/'+self._owner.Server
A1=C([H(C([resp['username'],resp['realm'],self.password])),resp['nonce'],resp['cnonce']])
A2=C(['AUTHENTICATE',resp['digest-uri']])
response= HH(C([HH(A1),resp['nonce'],resp['nc'],resp['cnonce'],resp['qop'],HH(A2)]))
resp['response']=response
resp['charset']='utf-8'
sasl_data=''
for key in ['charset','username','realm','nonce','nc','cnonce','digest-uri','response','qop']:
if key in ['nc','qop','response','charset']: sasl_data+="%s=%s,"%(key,resp[key])
else: sasl_data+='%s="%s",'%(key,resp[key])
########################################3333
node=Node('response',attrs={'xmlns':NS_SASL},payload=[encodestring(sasl_data[:-1]).replace('\r','').replace('\n','')])
self._owner.send(node.__str__())
elif chal.has_key('rspauth'): self._owner.send(Node('response',attrs={'xmlns':NS_SASL}).__str__())
else:
self.startsasl='failure'
self.DEBUG('Failed SASL authentification: unknown challenge','error')
raise NodeProcessed
def _generate_genotype_for_trial(self, target_index, mutagen_indices,
dimensions):
target = self.population[target_index]
D = _randint(0, dimensions - 1)
return [
self._calculate_mutagen_value(mutagen_indices, genotype_index)
if _random() < self.CR or genotype_index == D else
target.genotype[genotype_index]
for genotype_index in range(dimensions)
]
def producer(self, count=100, stop=None):
from random import random as _random
from time import sleep as _sleep
counter = 0
while counter < count:
self.pipe.put(counter)
_sleep(_random() * 0.00001)
counter += 1
self.pipe.done_sending()
def producer(self, count = 100, stop = None):
from random import random as _random
from time import sleep as _sleep
counter = 0
while counter < count:
self.pipe.put(counter)
_sleep(_random() * 0.00001)
counter = counter + 1
self.pipe.done_sending()
def wrapped(expiry=None):
if expiry is None:
# we want the next expiry
return now() + timeout
else:
# we want to know if we should expire and its expiry time
start = expiry - timeout
delta = now() - start
threshold = delta/timeout
cache = last + timeout if _random() < threshold else False
return cache
def evolution_strategy(m,
axis=0,
mu=10,
l=2,
epochs=50,
n=1,
tie=0.1,
method='swap',
history=False,
verbose=False):
""" Use evolution strategy to search the best centrality ranking.
Return the best ranking (and the best score of each generation if needed).
Args:
axis: candidates axis.
mu: population size.
l: mu * l = offspring size.
epochs: number of iterations.
n: number of swaps performed during a single mutation.
tie: probability of performing a tie instead of a swap during mutation process.
method: method used to compute centrality of the ranking.
history: if True, return a tuple (ranking, history).
verbose: if True, plot the learning curve.
"""
r = np.arange(m.shape[axis])
h = []
population = [sorted(r, key=lambda k: _random())
for _ in range(mu)] # mu random ranked ballots
best_ranking = population[0] # initialize best_ranking
for epoch in tqdm(range(epochs)):
offspring = [random_swap(x, n=n, tie=tie) for x in population * l
] # random swaps to generate new ranked ballots
offspring.append(
best_ranking
) # add the previous best to the offspring to avoid losing it if no children beat it
scores = [
centrality(m, child, axis=axis, method=method)
for child in offspring
] # compute fit function
idx_best = np.argsort(scores)[len(scores) - mu:]
population = list(
np.array(offspring)[idx_best]) # select the mu best ballots
argmax = idx_best[-1]
best_ranking = offspring[argmax]
h.append(scores[argmax]) # collect best score
r = process_vote(m, best_ranking, axis=1 - axis)
if verbose:
show_learning_curve(h)
print('Best centrality score: {}'.format(h[-1]))
if history:
return r, h # return the best ranking and its score
return r
def getLargestChildNew(self): """Randomly Choose a child based on size""" sum = 0 for child in self.children: sum += child.length randNum = _random() previous = 0 prob = 0 for child in self.children: prob += child.length/float(sum) if randNum >= previous and prob > randNum : return child previous = prob return self.children[-1]
def _try_to_say_something(bot, message):
"""Find a response and maybe say something."""
try:
room = _rooms[message.chat_id]
previous_messages = room['dict'].keys()
similar_messages = _get_close_matches(message.text, previous_messages)
if len(similar_messages) > 0 and _random() < _talkativeness:
choosen_message = _choice(similar_messages)
response = room['dict'][choosen_message]
bot.send_message(message.chat_id, response)
_update_last_message(room, response, 'bot')
except TypeError as te:
if "'NoneType' object is not iterable" in str(te):
# this happens when message.text==None
return
else:
raise
def makeRandomSet(weightedSet): """Returns a new trainingSet by choosing examples based on weight probablitites""" newtrainingSet = [] #Make a list starting with zero and ending with MAX_INT #Where all of values inbetween are the probs of choosing this element probs = [0] for ex in weightedSet: probs.append(ex.weight + probs[-1]) probs.append(_MAX_INT) for i in range(len(weightedSet)): #Get N new smaples randNum = _random() for j in range(len(probs) - 1 ): if randNum >= probs[j] and probs[j+1] > randNum : newtrainingSet.append(boostExample( LabeledExample(weightedSet[j-1],label=weightedSet[j-1].label) ,weightedSet[j-1].weight) ) break return newtrainingSet
def select_model(self, **kwargs):
'''
Select a model to serve
Returns
--------
model_name : str
The model identifier that is going to be served
'''
r = _random()
ratio_sum = 0
# select last one by default
return_index = len(self._models) - 1
for (index, ratio) in enumerate(self.ratios):
ratio_sum += ratio
if r <= ratio_sum:
return_index = index
break
self._serve_counts[return_index] += 1
return self._models[return_index]
def select_model(self, **kwargs):
'''
Select a model to serve
Returns
-------
model_name : str
The model identifier that is going to be served
'''
r = _random()
ratio_sum = 0
# select last one by default
return_index = len(self._models) - 1
for (index, ratio) in enumerate(self.ratios):
ratio_sum += ratio
if r <= ratio_sum:
return_index = index
break
self._serve_counts[return_index] += 1
return self._models[return_index]
def select_model(self, **kwargs):
'''
Select a model to serve
Returns
-------
model_name : str
The model identifier that is going to be served
'''
r = _random()
if r > self.epsilon:
# exploitation
max_value = max(self._values)
# Randomly pick among those that have highest value
indices = [i for i, x in enumerate(self._values) if x == max_value]
r1 = _randrange(0, len(indices))
return_index = indices[r1]
else:
# exploration
return_index = _randrange(len(self._values))
self._serve_counts[return_index] += 1
return self._models[return_index]
def select_model(self, **kwargs):
'''
Select a model to serve
Returns
--------
model_name : str
The model identifier that is going to be served
'''
r = _random()
if r > self.epsilon:
# exploitation
max_value = max(self._values)
# Randomly pick among those that have highest value
indices = [i for i, x in enumerate(self._values) if x == max_value]
r1 = _randrange(0, len(indices))
return_index = indices[r1]
else:
# exploration
return_index = _randrange(len(self._values))
self._serve_counts[return_index] += 1
return self._models[return_index]
def random():
"""Return a random number on the interval [0, 1).
Identical to random() from the random module."""
return _random()
def __init__(self, *args, **kwargs):
super().__init__(*args, **kwargs)
self.wander_angle = randint(0, 359)
self.velocity = Vector(-1, 0).rotate(self.wander_angle).scale(self.speed * _random())
self.state = state.wander
self.target = None
def SASLHandler(self, conn, challenge):
"""
Perform next SASL auth step. Used internally.
"""
if challenge.getNamespace() != NS_SASL:
return None
if challenge.getName() == "failure":
self.startsasl = "failure"
try:
reason = challenge.getChildren()[0]
except Exception:
reason = challenge
self.DEBUG("Failed SASL authentification: %s" % reason, "error")
raise NodeProcessed()
elif challenge.getName() == "success":
self.startsasl = "success"
self.DEBUG("Successfully authenticated with remote server.", "ok")
handlers = self._owner.Dispatcher.dumpHandlers()
self._owner.Dispatcher.PlugOut()
dispatcher.Dispatcher().PlugIn(self._owner)
self._owner.Dispatcher.restoreHandlers(handlers)
self._owner.User = self.username
raise NodeProcessed()
incoming_data = challenge.getData()
chal = {}
data = decodestring(incoming_data)
self.DEBUG("Got challenge:" + data, "ok")
for pair in re_findall('(\w+\s*=\s*(?:(?:"[^"]+")|(?:[^,]+)))', data):
key, value = [x.strip() for x in pair.split("=", 1)]
if value[:1] == '"' and value[-1:] == '"':
value = value[1:-1]
chal[key] = value
if "qop" in chal and "auth" in [
x.strip() for x in chal["qop"].split(",")
]:
resp = {}
resp["username"] = self.username
resp["realm"] = self._owner.Server
resp["nonce"] = chal["nonce"]
cnonce = ""
for i in xrange(7):
cnonce += hex(int(_random() * 65536 * 4096))[2:]
resp["cnonce"] = cnonce
resp["nc"] = ("00000001")
resp["qop"] = "auth"
resp["digest-uri"] = "xmpp/" + self._owner.Server
A1 = C([
H(C([resp["username"], resp["realm"], self.password])),
resp["nonce"], resp["cnonce"]
])
A2 = C(["AUTHENTICATE", resp["digest-uri"]])
response = HH(
C([
HH(A1), resp["nonce"], resp["nc"], resp["cnonce"],
resp["qop"],
HH(A2)
]))
resp["response"] = response
resp["charset"] = "utf-8"
sasl_data = ""
for key in ("charset", "username", "realm", "nonce", "nc",
"cnonce", "digest-uri", "response", "qop"):
if key in ("nc", "qop", "response", "charset"):
sasl_data += "%s=%s," % (key, resp[key])
else:
sasl_data += "%s=\"%s\"," % (key, resp[key])
node = Node("response",
attrs={"xmlns": NS_SASL},
payload=[
encodestring(sasl_data[:-1]).replace("\r",
"").replace(
"\n", "")
])
self._owner.send(node.__str__())
elif "rspauth" in chal:
self._owner.send(
Node("response", attrs={
"xmlns": NS_SASL
}).__str__())
else:
self.startsasl = "failure"
self.DEBUG("Failed SASL authentification: unknown challenge",
"error")
raise NodeProcessed()
def random(n=1): return _random() * n # def random_range_i(fro,to): return randint(fro,to) def randomfloat=random.uniform
def random():
return (_random() * 2 - 1, _random() * 2 - 1, _random() * 2 - 1)
def random(): return (_random()*2-1,_random()*2-1,_random()*2-1)
def randMom(m):
"""Return a random number distributed uniformly on the interval (-m, m)."""
return m * (2 * _random() - 1)
def random(request):
return JsonResponse({'random': _random()})
def SASLHandler(self, conn, challenge):
""" Perform next SASL auth step. Used internally. """
if challenge.getNamespace() <> NS_SASL: return
if challenge.getName() == 'failure':
self.startsasl = 'failure'
try:
reason = challenge.getChildren()[0]
except:
reason = challenge
self.DEBUG('Failed SASL authentification: %s' % reason, 'error')
raise NodeProcessed
elif challenge.getName() == 'success':
self.startsasl = 'success'
self.DEBUG('Successfully authenticated with remote server.', 'ok')
handlers = self._owner.Dispatcher.dumpHandlers()
self._owner.Dispatcher.PlugOut()
dispatcher.Dispatcher().PlugIn(self._owner)
self._owner.Dispatcher.restoreHandlers(handlers)
self._owner.User = self.username
raise NodeProcessed
########################################3333
incoming_data = challenge.getData()
chal = {}
data = decodestring(incoming_data)
self.DEBUG('Got challenge:' + data, 'ok')
for pair in re_findall('(\w+\s*=\s*(?:(?:"[^"]+")|(?:[^,]+)))', data):
key, value = [x.strip() for x in pair.split('=', 1)]
if value[:1] == '"' and value[-1:] == '"': value = value[1:-1]
chal[key] = value
if chal.has_key('qop') and 'auth' in [
x.strip() for x in chal['qop'].split(',')
]:
resp = {}
resp['username'] = self.username
resp['realm'] = self._owner.Server
resp['nonce'] = chal['nonce']
cnonce = ''
for i in range(7):
cnonce += hex(int(_random() * 65536 * 4096))[2:]
resp['cnonce'] = cnonce
resp['nc'] = ('00000001')
resp['qop'] = 'auth'
resp['digest-uri'] = 'xmpp/' + self._owner.Server
A1 = C([
H(C([resp['username'], resp['realm'], self.password])),
resp['nonce'], resp['cnonce']
])
A2 = C(['AUTHENTICATE', resp['digest-uri']])
response = HH(
C([
HH(A1), resp['nonce'], resp['nc'], resp['cnonce'],
resp['qop'],
HH(A2)
]))
resp['response'] = response
resp['charset'] = 'utf-8'
sasl_data = ''
for key in [
'charset', 'username', 'realm', 'nonce', 'nc', 'cnonce',
'digest-uri', 'response', 'qop'
]:
if key in ['nc', 'qop', 'response', 'charset']:
sasl_data += "%s=%s," % (key, resp[key])
else:
sasl_data += '%s="%s",' % (key, resp[key])
########################################3333
node = Node('response',
attrs={'xmlns': NS_SASL},
payload=[
encodestring(sasl_data[:-1]).replace('\r',
'').replace(
'\n', '')
])
self._owner.send(node.__str__())
elif chal.has_key('rspauth'):
self._owner.send(
Node('response', attrs={
'xmlns': NS_SASL
}).__str__())
else:
self.startsasl = 'failure'
self.DEBUG('Failed SASL authentification: unknown challenge',
'error')
raise NodeProcessed
def build_rand_nparray(size):
x = []
for i in range(size):
x.append(_random())
return _np_array(x)
def rand(n=1): return _random() * n def random(n=1): return _random() * n
def random(request):
"""the function of random"""
return JsonResponse({'random': _random()})
def uniform(a=0, b=1):
return _random() * (b - a) + a
def rand(n=1): return _random() * n def random(n=1): return _random() * n
def random(n=1): return _random() * n def random_array(l): return np.random.rand(l) # (0,1) x,y don't work ->
def random(n=1): return _random() * n def random_array(l): return np.random.rand(l) # (0,1) x,y don't work ->
def random(n): return _random() % (n + 1)
def func(_):
return _random(min_seconds, max_seconds)
