def GetBox(container, size):
minPt = container.Transform.OfPoint(container.Min)
maxPt = container.Transform.OfPoint(container.Max)
randX = 1 - random.WichmannHill().random()
randY = 1 - random.WichmannHill().random()
randZ = 1 - random.WichmannHill().random()
#if randX > 0.5 or randY > 0.5 or randZ > 0.5: print(randX, randY, randZ)
center = XYZ(randX * (minPt.X) + (1 - randX) * maxPt.X,
randY * (minPt.Y) + (1 - randY) * maxPt.Y,
randZ * (minPt.Z) + (1 - randZ) * maxPt.Z)
# ratio = (center.X - minPt.X)/(maxPt.X - minPt.X)
# print(ratio)
# center = XYZ(
# random.uniform(minPt.X + (size/2), maxPt.X - (size/2)),
# random.uniform(minPt.Y + (size/2), maxPt.Y - (size/2)),
# random.uniform(maxPt.Z - 7, maxPt.Z)
# )
box = GetOutlineAt(center, size)
# AddBoxToDoc(box) # this is for debugging reasons
return box
def GeneratePairs(self, num):
labels = list()
targets = list()
# populate these lists now
i = 0
while i < num:
pair = None
if coinToss() and len(self.elements) > 1:
pair = random.WichmannHill().sample(self.elements, 2)
i += 1
else:
randElem = random.WichmannHill().sample(self.elements, 1)[0]
if len(self.matDict[randElem]) < 1:
i += 1
continue
else:
matName = random.WichmannHill().sample(
self.matDict[randElem], 1)[0]
pair = [randElem, matName
] if coinToss() else [matName, randElem]
i += 1
labels.append(pair[0])
targets.append(pair[1])
return [labels, targets]
def __init__(self, seed = None, randg = None): import random self.seed = seed if randg: self.randg = randg else: try: if seed: self.randg = random.WichmannHill(seed) else: self.randg = random.WichmannHill() except: if seed: self.randg = random.SystemRandom(seed) else: self.randg = random.SystemRandom()
def test_choose_random_word(self):
model = self.model
# First, train one sentence and make sure we randomly pick the
# only possible option.
model.train(u"one two three")
context = [u"one", u"two"]
self.assertEqual(u"three", model.choose_random_word(context))
# Make sure a context that hasn't been trained comes back None
self.assertIsNone(model.choose_random_word([u"missing", u"context"]))
# Train another sentence and make sure we pick both options
# with carefully chosen seeding. Explicitly use Python's (old)
# WichmannHill PRNG to ensure reproducability, since the
# default PRNG generator could conceivably change in a future
# release.
model.train(u"one two four")
rng = random.WichmannHill()
rng.seed(0)
self.assertEqual(u"three", model.choose_random_word(context, rng=rng))
self.assertEqual(u"four", model.choose_random_word(context, rng=rng))
def GetAnagrams(letters):
index = letters.find("anagram") + 7
letters = letters[index:]
if len(letters) > 30:
"Sorry, please reduce the length of your anagram request. (Maximum 30 characters)."
try:
if len(letters) < 4:
return "Please follow: !anagram (thing to be anagrammed)"
except:
return "Please follow: !anagram (thing to be anagrammed)"
anagram_string = ""
anagram_list = ReturnAnagrams(letters)
if anagram_list == False:
return "Sorry, I couldn't find any decent anagrams! Try something else!"
rng=random.WichmannHill()
rng.shuffle(anagram_list)
first = True
for i in anagram_list:
if first != True:
anagram_string += " "
else:
first = False
anagram_string += i
return '"' + anagram_string + '" is an anagram of "' + letters + '".'
def test_odd_flush(self):
# Test for odd flushing bugs noted in 2.0, and hopefully fixed in 2.1
import random
if hasattr(zlib, 'Z_SYNC_FLUSH'):
# Testing on 17K of "random" data
# Create compressor and decompressor objects
co = zlib.compressobj(zlib.Z_BEST_COMPRESSION)
dco = zlib.decompressobj()
# Try 17K of data
# generate random data stream
try:
# In 2.3 and later, WichmannHill is the RNG of the bug report
gen = random.WichmannHill()
except AttributeError:
try:
# 2.2 called it Random
gen = random.Random()
except AttributeError:
# others might simply have a single RNG
gen = random
gen.seed(1)
data = genblock(1, 17 * 1024, generator=gen)
# compress, sync-flush, and decompress
first = co.compress(data)
second = co.flush(zlib.Z_SYNC_FLUSH)
expanded = dco.decompress(first + second)
# if decompressed data is different from the input data, choke.
self.assertEqual(expanded, data, "17K random source doesn't match")
class WichmannHill_TestBasicOps(TestBasicOps):
gen = random.WichmannHill()
def test_strong_jumpahead(self):
# tests that jumpahead(n) semantics correspond to n calls to random()
N = 1000
s = self.gen.getstate()
self.gen.jumpahead(N)
r1 = self.gen.random()
# now do it the slow way
self.gen.setstate(s)
for i in xrange(N):
self.gen.random()
r2 = self.gen.random()
self.assertEqual(r1, r2)
def test_gauss_with_whseed(self):
# Ensure that the seed() method initializes all the hidden state. In
# particular, through 2.2.1 it failed to reset a piece of state used
# by (and only by) the .gauss() method.
for seed in 1, 12, 123, 1234, 12345, 123456, 654321:
self.gen.whseed(seed)
x1 = self.gen.random()
y1 = self.gen.gauss(0, 1)
self.gen.whseed(seed)
x2 = self.gen.random()
y2 = self.gen.gauss(0, 1)
self.assertEqual(x1, x2)
self.assertEqual(y1, y2)
def random_index_multipart(count=10,
dummy=0,
dcs=0x00,
mid=-1,
data=None,
datalen=134):
out = []
r = random.WichmannHill()
if mid == -1:
mid = r.randrange(0, 0xff)
ts = Utils.hex2bin("99309251619580", 0)
for i in range(0, count):
if dcs == -1:
dcsuse = randdcs()
else:
dcsuse = dcs
if data == None:
datause = SMSFuzzData.getSMSFuzzData()
else:
datause = data[:datalen]
if datalen < 0:
datause = datause[:r.randrange(0, datalen * -1)]
msg = concat("49177123456", "49177123456", ts, count,
r.randrange(0, 256), mid, datause, dcsuse)
line = Utils.bin2hex(msg, 1)
leng = (len(line) / 2) - 8
out.append((line, leng))
return out
def reset(self):
"""
Resets thread data model
"""
self.disableStdOut = False
self.hashDBCursor = None
self.inTransaction = False
self.lastCode = None
self.lastComparisonPage = None
self.lastComparisonHeaders = None
self.lastComparisonCode = None
self.lastComparisonRatio = None
self.lastErrorPage = None
self.lastHTTPError = None
self.lastRedirectMsg = None
self.lastQueryDuration = 0
self.lastPage = None
self.lastRequestMsg = None
self.lastRequestUID = 0
self.lastRedirectURL = None
self.random = random.WichmannHill()
self.resumed = False
self.retriesCount = 0
self.seqMatcher = difflib.SequenceMatcher(None)
self.shared = shared
self.validationRun = 0
self.valueStack = []
def __init__(self, name):
self.name = name
#init Wichmann-Hill prng with 256 bits (32*8) seed
self.rand = random.WichmannHill(os.urandom(32))
#self.rand.setstate([1, (8556, 14019, 30321), None])
print name, self.rand.getstate()
def get_rng(self, index=0):
if self.rngvec:
seed = self.rngvec[index % len(self.rngvec)] + index
else:
seed = index
rng = random.WichmannHill(seed)
return rng
def OnStart(self, effect, t):
if self.currentStartTime is None:
if effect.rangeChance or effect.electronicChance or effect.propulsionChance:
self.random = random.WichmannHill(blue.os.GetWallclockTimeNow())
self.registrations = []
self.currentStartTime = t
if self.random is not None:
self.currentSeed = self.GetRandomSeed()
def create_sample_data(session):
rnd = random.WichmannHill(1)
account_1234 = Account(id=1234, name='user1234', apikey='26ec5efff4a6')
session.add(account_1234)
account_1235 = Account(id=1235,
name='lukz',
mbuser='******',
apikey='2112c535e9e6',
is_admin=True)
session.add(account_1235)
application_1234 = Application(account=account_1234,
name='Test App',
version='1.0',
apikey='617f98b2d7cc')
session.add(application_1234)
unflushed = 0
dt = datetime.datetime(2014, 1, 2)
while dt < datetime.datetime.now():
obj = StatsLookups(date=dt.date(),
hour=dt.hour,
application=application_1234)
obj.count_nohits = rnd.randint(0, 1000)
obj.count_hits = rnd.randint(0, 10000)
session.add(obj)
dt += datetime.timedelta(hours=1)
unflushed += 1
if unflushed > 100:
session.flush()
unflushed = 0
application_1235 = Application(account=account_1235,
name='Test App 2',
version='0.2',
apikey='c24d2e31d8db')
session.add(application_1235)
unflushed = 0
dt = datetime.datetime(2015, 2, 3)
while dt < datetime.datetime.now():
obj = StatsLookups(date=dt.date(),
hour=dt.hour,
application=application_1235)
obj.count_nohits = rnd.randint(0, 200)
obj.count_hits = rnd.randint(0, 1000)
session.add(obj)
dt += datetime.timedelta(hours=1)
unflushed += 1
if unflushed > 100:
session.flush()
unflushed = 0
session.commit()
def RandomDiceRoll(MinNum=1,
MaxNum=6,
RandType=1,
RandSeed=random.seed(),
DiceArray=None):
if (len(re.findall("^([\-]?[0-9]+)$", str(MinNum))) < 1):
MinNum = 1
try:
MinNum = int(MinNum)
except ValueError:
return [False]
if (len(re.findall("^([\-]?[0-9]+)$", str(MaxNum))) < 1):
MaxNum = 6
try:
MaxNum = int(MaxNum)
except ValueError:
return [False]
if (len(re.findall("^([\-]?[1-5]+)$", str(RandType))) < 1):
RandType = 1
try:
RandType = int(RandType)
except ValueError:
RandType = 1
if (MinNum > MaxNum):
TmpMinNum = MaxNum
TmpMaxNum = MinNum
MaxNum = TmpMaxNum
MinNum = TmpMinNum
RandType = int(RandType)
if (RandType < 1):
RandType = 1
if (RandType > 5):
RandType = 5
if (RandType == 1):
DiceRollValue = random.randint(MinNum, MaxNum)
if (RandType == 2):
randtype = random.WichmannHill(RandSeed)
DiceRollValue = randtype.randint(MinNum, MaxNum)
if (RandType == 3):
randtype = random.SystemRandom(RandSeed)
DiceRollValue = randtype.randint(MinNum, MaxNum)
if (RandType == 4):
DiceRollValue = random.randrange(MinNum, MaxNum + 1)
if (RandType == 5):
icount = 1
ilist = []
while (icount <= MaxNum):
ilist.append(icount)
icount += 1
DiceRollValue = random.choice(ilist)
if (DiceArray is not None and type(DiceArray) is dict):
DiceRollValue = GetDictValueFromDiceNumber(DiceRollValue, DiceArray)[0]
return [DiceRollValue]
def random_int(length=4, seed=None):
"""
>>> random.seed(0)
>>> randomInt(6)
874254
"""
choice = random.WichmannHill(
seed).choice if seed is not None else random.choice
return int("".join(
choice(string.digits if _ != 0 else string.digits.replace('0', ''))
for _ in xrange(0, length)))
def throw_fish_rod(vmodel):
if vmodel.Status['fishing'] == 'throw':
return False
random_wichman = random.WichmannHill(datetime.datetime.now())
rand_width, rand_height = random_wichman.randint(-10, 10), random_wichman.randint(-10, 10)
x, y, width, height = vmodel.App.PyArea
vmodel.App.StoreCursorPosition(width * 0.7 + rand_width, height * 0.2 + rand_height)
vmodel.App.KeyPress('W', 200)
vmodel.App.RestoreCursorPosition()
vmodel.Status['fishing'] = 'throw'
vmodel.Status['throw time'] = datetime.datetime.now()
return True
def setrng(self, rngname):
if rngname == headerdata.SF_DIEROLLER_RNGSTRINGS[0]:
self.rng = random.Random()
self.rngfunc = self.rng.randint
elif rngname == headerdata.SF_DIEROLLER_RNGSTRINGS[1]:
self.rng = random.WichmannHill()
self.rngfunc = self.rng.randint
elif rngname == headerdata.SF_DIEROLLER_RNGSTRINGS[2]:
self.rng = random.SystemRandom()
self.rngfunc = self.rng.randint
else:
return False
if headerdata.options.verbose:
print "Using RNG: " + rngname
def __init__(self,
prefix="!",
client_id=None,
settings=Settings,
**kwargs):
self.__parent = None
self.prefix = prefix
self.__commands = {}
self.__nodes = {}
self.__listeners = {
"on_send_message": [self._on_send_message],
"on_command_error": [self.on_command_error],
"on_error": [self.on_error],
"on_parse": [self.parse],
"on_message": [self.on_message]
}
self._parser = None
self.__script_globals = {}
self._do_parameters = kwargs.get("do_parameters", True)
self.settings = settings()
# i dont know the platform until the first data event comes through
# so just set it to `None` for now
self._platform = None
self._scheduled_events = []
GroupMapping.__init__(self, **kwargs)
# no, this is not a mistake. we do this because when a command is registered, GroupMapping passes self._bot
# to the command.
self._bot = self
self.random = random.WichmannHill()
self.stream = self.get_channel(
Platforms.twitch
) # this works, as all the streaming channels are the same.
self.discord = self.get_channel(Platforms.discord)
self._live_dt = None
self._api = BrowserWindow(self, time.time())
self._events = EventsNode(self)
if kwargs.get("enable_debug", False):
self._debug = True
self.add_node(Debug(self))
else:
self._debug = False
self.client_id = client_id
def randomInt(length=4, seed=None):
"""
Returns random integer value with provided number of digits
>>> random.seed(0)
>>> randomInt(6)
874254
"""
choice = random.WichmannHill(
seed).choice if seed is not None else random.choice
return int("".join(
choice(string.digits if _ != 0 else string.digits.replace('0', ''))
for _ in xrange(0, length)))
class WichmannHill_TestBasicOps(TestBasicOps):
gen = random.WichmannHill()
def test_setstate_first_arg(self):
self.assertRaises(ValueError, self.gen.setstate, (2, None, None))
def test_strong_jumpahead(self):
# tests that jumpahead(n) semantics correspond to n calls to random()
N = 1000
s = self.gen.getstate()
self.gen.jumpahead(N)
r1 = self.gen.random()
# now do it the slow way
self.gen.setstate(s)
for i in xrange(N):
self.gen.random()
r2 = self.gen.random()
self.assertEqual(r1, r2)
def test_gauss_with_whseed(self):
# Ensure that the seed() method initializes all the hidden state. In
# particular, through 2.2.1 it failed to reset a piece of state used
# by (and only by) the .gauss() method.
for seed in 1, 12, 123, 1234, 12345, 123456, 654321:
self.gen.whseed(seed)
x1 = self.gen.random()
y1 = self.gen.gauss(0, 1)
self.gen.whseed(seed)
x2 = self.gen.random()
y2 = self.gen.gauss(0, 1)
self.assertEqual(x1, x2)
self.assertEqual(y1, y2)
def test_bigrand(self):
# bug in _warnings
if test_support.due_to_ironpython_bug(
"http://www.codeplex.com/IronPython/WorkItem/View.aspx?WorkItemId=21116"
):
return
# Verify warnings are raised when randrange is too large for random()
with warnings.catch_warnings():
warnings.filterwarnings("error", "Underlying random")
self.assertRaises(UserWarning, self.gen.randrange, 2**60)
def test_odd_flush(self):
import random
co = zlib.compressobj(zlib.Z_BEST_COMPRESSION)
dco = zlib.decompressobj()
try:
gen = random.WichmannHill()
except AttributeError:
try:
gen = random.Random()
except AttributeError:
gen = random
gen.seed(1)
data = genblock(1, 17 * 1024, generator=gen)
first = co.compress(data)
second = co.flush(zlib.Z_SYNC_FLUSH)
expanded = dco.decompress(first + second)
self.assertEqual(expanded, data, "17K random source doesn't match")
def parse_args(self, args, values=None):
(options, args) = OptionParser.parse_args(self, args, values)
if self.random_options:
if options.random_generator is None or options.random_generator == "MersenneTwister":
r = random.Random()
elif options.random_generator == "WichmannHill":
r = random.WichmannHill()
else:
self.error(
"Acceptible generators are MersenneTwister (default) or WichmannHill"
)
if options.random_seed:
r.seed(options.random_seed)
options.__dict__["random"] = r
return (options, args)
def generate_txstring():
txdata = {}
#Generate our random string, using the current date and time as a seed.
next_minute = datetime.utcnow() + timedelta(0, 0, 0, 0, 1, 0)
txdata["timeseed"] = next_minute.strftime("%d-%m-%Y %H:%M")
new_random = random.WichmannHill()
new_random.seed(binascii.crc32(txdata["timeseed"]))
txdata["randomdata"] = ''.join(
new_random.choice(string.ascii_uppercase + string.ascii_lowercase +
string.digits) for x in range(64))
txdata[
"txstring"] = "DE VK5QI VK5QI $$$$$" + txdata["randomdata"] + "$$$$$"
return txdata
class WichmannHill_TestBasicOps(TestBasicOps):
gen = random.WichmannHill()
def test_setstate_first_arg(self):
self.assertRaises(ValueError, self.gen.setstate, (2, None, None))
def test_strong_jumpahead(self):
# tests that jumpahead(n) semantics correspond to n calls to random()
N = 1000
s = self.gen.getstate()
self.gen.jumpahead(N)
r1 = self.gen.random()
# now do it the slow way
self.gen.setstate(s)
for i in xrange(N):
self.gen.random()
r2 = self.gen.random()
self.assertEqual(r1, r2)
def test_gauss_with_whseed(self):
# Ensure that the seed() method initializes all the hidden state. In
# particular, through 2.2.1 it failed to reset a piece of state used
# by (and only by) the .gauss() method.
for seed in 1, 12, 123, 1234, 12345, 123456, 654321:
self.gen.whseed(seed)
x1 = self.gen.random()
y1 = self.gen.gauss(0, 1)
self.gen.whseed(seed)
x2 = self.gen.random()
y2 = self.gen.gauss(0, 1)
self.assertEqual(x1, x2)
self.assertEqual(y1, y2)
def test_bigrand(self):
# Verify warnings are raised when randrange is too large for random()
oldfilters = warnings.filters[:]
warnings.filterwarnings("error", "Underlying random")
self.assertRaises(UserWarning, self.gen.randrange, 2**60)
warnings.filters[:] = oldfilters
def random_str(length=4, lowercase=False, alphabet=None, seed=None):
"""
>>> random.seed(0)
>>> randomStr(6)
'RNvnAv'
"""
choice = random.WichmannHill(
seed).choice if seed is not None else random.choice
if alphabet:
ret_val = "".join(choice(alphabet) for _ in xrange(0, length))
elif lowercase:
ret_val = "".join(
choice(string.ascii_lowercase) for _ in xrange(0, length))
else:
ret_val = "".join(
choice(string.ascii_letters) for _ in xrange(0, length))
return ret_val
def test_random_policy(self):
"""
testing random policy
"""
rdrwh = random.WichmannHill(0)
policy = RandomPolicy(self.session)
policy.key = lambda _: rdrwh.random()
torrents_start, torrents_stop = policy.apply(self.torrents,
6,
force=True)
ids_start = [
torrent["metainfo"].get_infohash() for torrent in torrents_start
]
self.assertEqual(1, len(ids_start),
"Start failed %s vs %s" % (ids_start, torrents_start))
ids_stop = [
torrent["metainfo"].get_infohash() for torrent in torrents_stop
]
self.assertEqual(0, len(ids_stop),
"Stop failed %s vs %s" % (ids_stop, torrents_stop))
def randomStr(length=4, lowercase=False, alphabet=None, seed=None):
"""
Returns random string value with provided number of characters
>>> random.seed(0)
>>> randomStr(6)
'RNvnAv'
"""
choice = random.WichmannHill(
seed).choice if seed is not None else random.choice
if alphabet:
retVal = "".join(choice(alphabet) for _ in xrange(0, length))
elif lowercase:
retVal = "".join(
choice(string.ascii_lowercase) for _ in xrange(0, length))
else:
retVal = "".join(
choice(string.ascii_letters) for _ in xrange(0, length))
return retVal
def test_choose_random_context(self):
model = self.model
# First, train one sentence and make sure we randomly pick the
# only possible option.
model.train(u"one two three")
self.assertEqual([u"one", u"two", u"three"],
model.choose_random_context(u"one"))
# Make sure a context that hasn't been trained comes back None
self.assert_(model.choose_random_context(u"missing") is None)
# Train another sentence and make sure we pick both options
# with carefully chosen seeding.
model.train(u"one two four")
rng = random.WichmannHill()
rng.seed(0)
self.assertEqual([u"one", u"two", u"three"],
model.choose_random_context(u"one", rng=rng))
self.assertEqual([u"one", u"two", u"four"],
model.choose_random_context(u"one", rng=rng))
def displayid(n, words_in_random_id = DEFAULT_WORDS_IN_RANDOM_ID):
badrandom_value = badrandom.WichmannHill()
badrandom_value.seed(n)
return ' '.join(badrandom_value.choice(words) for x in range(words_in_random_id))
print "%.8f" % r.gammavariate(20.0, 1.0)
print "%.8f" % r.gauss(0.0, 1.0)
print "%.8f" % r.betavariate(3.0, 3.0)
print "%.8f" % r.paretovariate(1.0)
print "%.8f" % r.weibullvariate(1.0, 1.0)
#print "%.8f" % r.stdgamma(1.0, 1.0, 1.0, 1.0) # deprecated in CPython
#print "%.8f" % r.cunifvariate(0.0, 1.0) # deprecated in CPython
print ''
# --- random.Random (Mersenne Twister)
mt = random.Random()
mt.seed()
mt.seed(79)
mtstate = mt.getstate() # (state is not cross-compatible with CPython)
mt.setstate(mtstate)
#mt.jumpahead(1000000) # (not yet supported)
for i in range(25): runrng(mt)
# --- random.WichmannHill
wh = random.WichmannHill()
wh.seed()
wh.seed(86)
wh.whseed()
wh.whseed(41)
whstate = wh.getstate() # (state is not cross-compatible with CPython)
wh.setstate(whstate)
wh.jumpahead(1000000)
for i in range(25): runrng(wh)
