def genpassword():
generator = whrandom.whrandom()
password = 0
for i in range(numpassfragments):
password = password + passfragments[generator.randint(
o, len(passfragments))]
return password
def genpassword():
generator = whrandom.whrandom()
password = ''
for i in range(numpassfragments):
fragment = generator.choice(passfragments)
fragment = string.upper(fragment[0]) + fragment[1:]
password = password + fragment
return password
def random(n, lmin=0.0, lmax=1.0):
"""
Returns a random vector of length n.
"""
import whrandom
new = vector([])
gen = whrandom.whrandom()
dl = lmax - lmin
return vector(map(lambda x: dl * gen.random(), range(n)))
def random(n, lmin=0.0, lmax=1.0):
"""
Returns a random vector of length n.
"""
import whrandom
new = vector([])
gen = whrandom.whrandom()
dl = lmax-lmin
return vector(map(lambda x: dl*gen.random(),
range(n)))
def funcUpdates(self,*args,**kw):
""" benchmark concurrent catalog/uncatalog operations """
uncat_conflicts = cat_conflicts = 0
cat,msg_ids = self.get_catalog()
msgs = self.setupUpdatesMethod(kw["numUpdates"])
keys = msgs.keys()
rdgen = whrandom.whrandom()
rdgen.seed(int(time.time()) % 256,int(time.time()) % 256,int(time.time()) % 256)
env = self.th_setup()
for i in range(len(keys)):
r = rdgen.randint(0,len(msgs)-1)
mid = keys[r]
obj = msgs[mid]
try:
cat.uncatalog_object(mid)
if kw.get("commit",1)==1:
get_transaction().commit()
time.sleep(0.1)
except ZODB.POSException.ConflictError:
uncat_conflicts = uncat_conflicts + 1
try:
cat.catalog_object(obj,mid)
if kw.get("commit",1)==1:
get_transaction().commit()
time.sleep(0.1)
except ZODB.POSException.ConflictError:
cat_conflicts = cat_conflicts + 1
try:
get_transaction().commit()
except: pass
self.th_teardown(env,cat_conflicts=cat_conflicts,uncat_conflicts=uncat_conflicts)
def random(n, lmin=0.0, lmax=1.0, indlist=None):
"""
Returns a sparse vector of length n with random
values in the range [lmin,lmax] in the specified
positions (default: max(5,n/100) random positions).
"""
import whrandom
import random
gen = whrandom.whrandom()
dl = lmax - lmin
rv = SparseVector(n, {})
if indlist is None:
nval = max(5, n / 100)
indlist = random.sample(xrange(n), nval)
for k in indlist:
rv.values[k] = dl * gen.random()
return rv
def newToonRandom(self, seed = None, gender = 'm'):
if seed:
(seedx, seedy) = divmod(seed, 100)
seedz = seed & 255
generator = whrandom.whrandom()
generator.seed(seedx, seedy, seedz)
else:
generator = whrandom
self.type = 't'
self.legs = generator.choice(toonLegTypes + [
'm',
'l',
'l',
'l'])
self.gender = gender
self.head = generator.choice(toonHeadTypes)
(top, topColor, sleeve, sleeveColor) = getRandomTop(gender, generator = generator)
(bottom, bottomColor) = getRandomBottom(gender, generator = generator)
if gender == 'm':
self.torso = generator.choice(toonTorsoTypes[:3])
self.topTex = top
self.topTexColor = topColor
self.sleeveTex = sleeve
self.sleeveTexColor = sleeveColor
self.botTex = bottom
self.botTexColor = bottomColor
color = generator.choice(defaultBoyColorList)
self.armColor = color
self.legColor = color
self.headColor = color
else:
self.torso = generator.choice(toonTorsoTypes[:6])
self.topTex = top
self.topTexColor = topColor
self.sleeveTex = sleeve
self.sleeveTexColor = sleeveColor
if self.torso[1] == 'd':
self.botTex = getRandomGirlBottom(SKIRT)
else:
self.botTex = getRandomGirlBottom(SHORTS)
self.botTexColor = bottomColor
color = generator.choice(defaultGirlColorList)
self.armColor = color
self.legColor = color
self.headColor = color
self.gloveColor = self.defaultColor()
def ComputeHint(self, stem):
import whrandom
generator = whrandom.whrandom()
generator.seed(ord(stem[0]), ord(stem[1]), ord(stem[2]))
nbits = 0
try_count = 0
hint_bits = 0
while nbits < self.codeword_set and try_count < self.codeword_set * 20:
try_count = try_count + 1
bit_num = generator.randint(0, self.codeword_len * 8 - 1)
bit_mask = 1L << bit_num
if not hint_bits & bit_mask: # not yet set
hint_bits = hint_bits | bit_mask
nbits = nbits + 1
return hint_bits
def random(n, lmin=0.0, lmax=1.0, indlist=None):
"""
Returns a sparse vector of length n with random
values in the range [lmin,lmax] in the specified
positions (default: max(5,n/100) random positions).
"""
import whrandom
import random
gen = whrandom.whrandom()
dl = lmax - lmin
rv = SparseVector(n, {})
if indlist is None:
nval = max(5, n / 100)
indlist = random.sample(xrange(n), nval)
for k in indlist:
rv.values[k] = dl * gen.random()
return rv
def newToonRandom(self, seed=None, gender='m'):
if seed:
(seedx, seedy) = divmod(seed, 100)
seedz = seed & 255
generator = whrandom.whrandom()
generator.seed(seedx, seedy, seedz)
else:
generator = whrandom
self.type = 't'
self.legs = generator.choice(toonLegTypes + ['m', 'l', 'l', 'l'])
self.gender = gender
self.head = generator.choice(toonHeadTypes)
(top, topColor, sleeve,
sleeveColor) = getRandomTop(gender, generator=generator)
(bottom, bottomColor) = getRandomBottom(gender, generator=generator)
if gender == 'm':
self.torso = generator.choice(toonTorsoTypes[:3])
self.topTex = top
self.topTexColor = topColor
self.sleeveTex = sleeve
self.sleeveTexColor = sleeveColor
self.botTex = bottom
self.botTexColor = bottomColor
color = generator.choice(defaultBoyColorList)
self.armColor = color
self.legColor = color
self.headColor = color
else:
self.torso = generator.choice(toonTorsoTypes[:6])
self.topTex = top
self.topTexColor = topColor
self.sleeveTex = sleeve
self.sleeveTexColor = sleeveColor
if self.torso[1] == 'd':
self.botTex = getRandomGirlBottom(SKIRT)
else:
self.botTex = getRandomGirlBottom(SHORTS)
self.botTexColor = bottomColor
color = generator.choice(defaultGirlColorList)
self.armColor = color
self.legColor = color
self.headColor = color
self.gloveColor = self.defaultColor()
def Generate(self):
"""
generate a new session id
- Convert timestamp to hex
- Add random number between 0 and 65535 (0xffff hex) in hex
"""
t = '%s' % time.time()
dot = string.find(t, '.')
self.__sid = '%8x%03x' % (long(t[:dot]), int(t[dot + 1:]))
# Add information from HTTP_USER_AGENT
# self.__posUserAgent = len(self.__sid) + 1
# self.__sid = '%s,%s' % (self.__sid, str(self.__or.String(self.userAgent))[:-1])
# Add information from HTTP_REFERER
# self.__posHttpReferer = len(self.__sid) + 1
# self.__sid = '%s,%s' % (self.__sid, str(self.__or.String(self.httpReferer))[:-1])
r = whrandom.whrandom()
self.__posRandom = len(self.__sid) + 1
self.__sid = '%s,%04x' % (self.__sid, r.randint(0, 65535))
return self.__sid
License along with this program; if not, write to the Free
Software Foundation, Inc., 59 Temple Place, Suite 330, Boston,
MA 02111-1307 USA
See http://www.gnu.org/licenses/licenses.html for more details.
'''
import whrandom
__version__ = "$Id: sample.py,v 1.4 2002/08/21 12:41:49 donp Exp $"
# Note: it's important to make the generator global. If you put it into
# one of the functions and call that function rapidly, the generator will
# be initialized using the clock. If the calls are fast enough, you'll
# see distinctly nonrandom behavior.
rand_num_generatorG = whrandom.whrandom()
def sample_wor(population_size, sample_size):
'''Sample without replacement from a set of integers from 1 to
population_size. It returns a tuple of sample_size integers
that were selected. The sampling distribution is
hypergeometric.
'''
assert type(population_size) == type(0) and type(sample_size) == type(0) and population_size > 0 and sample_size > 0 and sample_size <= population_size
global rand_num_generatorG
m = 0 # number of records selected so far
t = 1 # Candidate integer to select if frac is right
list = []
while m < sample_size:
unif_rand = rand_num_generatorG.random()
frac = 1.0 * (sample_size - m) / (population_size - (t-1))
This program is distributed in the hope that it will be useful,
but WITHOUT ANY WARRANTY; without even the implied warranty of
MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
GNU General Public License for more details.
You should have received a copy of the GNU General Public
License along with this program; if not, write to the Free
Software Foundation, Inc., 59 Temple Place, Suite 330, Boston,
MA 02111-1307 USA
See http://www.gnu.org/licenses/licenses.html for more details.
'''
import md5, whrandom
__version__ = "$Id: otp.py,v 1.3 2002/08/21 12:41:49 donp Exp $"
whG = whrandom.whrandom()
def GenerateString(seed=0):
'''Generate a string from a four byte integer. The string is the
4 bytes of the integer, each converted to a character.
'''
global whG
if seed: # seed != 0 means to restart; whrandom seeds from time.
whG.seed(seed & 0xff, (seed & 0xff00) >> 8, (seed & 0xff0000) >> 16)
n = whG.randint(0, 2**30 - 1)
str = ""
str = str + chr((n & 0xFF000000) >> 24)
str = str + chr((n & 0x00FF0000) >> 16)
str = str + chr((n & 0x0000FF00) >> 8)
str = str + chr((n & 0x000000FF) >> 0)
def CheckHost(self):
'Check one host using nmap.'
#
# Create a tmp file for storing nmap output
#
# The tempfile module from python 1.5.2 is stupid
# two processes runing at aprox the same time gets
# the same tempfile...
# For this reason I use a random suffix for the tmp-file
# Still not 100% safe, but reduces the risk significally
# I also inserted checks at various places, so that
# _if_ two processes in deed get the same tmp-file
# the only result is a normal error message to nagios
#
r=whrandom.whrandom()
self.tmp_file=tempfile.mktemp('.%s')%r.randint(0,100000)
if self.debug:
print 'Tmpfile is: %s'%self.tmp_file
#
# If a range is given, only run nmap on this range
#
if self.ranges<>'':
global nmap_cmd # needed, to avoid error on next line
# since we assigns to nmap_cmd :)
nmap_cmd='%s -p %s' %(nmap_cmd,self.ranges)
#
# Prepare a task
#
t=utils.Task('%s %s' %(nmap_cmd,self.host))
#
# Configure a time-out handler
#
th=utils.TimeoutHandler(t.Kill, time_to_live=self.timeout,
debug=self.debug)
#
# Fork of nmap cmd
#
t.Run(detach=0, stdout=self.tmp_file,stderr='/dev/null')
#
# Wait for completition, error or timeout
#
nmap_exit_code=t.Wait(idlefunc=th.Check, interval=1)
#
# Check for timeout
#
if th.WasTimeOut():
self.exit_code=self.CRITICAL
self.exit_msg='CRITICAL - Plugin timed out after %s seconds' % self.timeout
return
#
# Check for exit status of subprocess
# Must do this after check for timeout, since the subprocess
# also returns error if aborted.
#
if nmap_exit_code <> 0:
self.exit_code=self.UNKNOWN
self.exit_msg='nmap program failed with code %s' % nmap_exit_code
return
#
# Read output
#
try:
f = open(self.tmp_file, 'r')
output=f.readlines()
f.close()
except:
self.exit_code=self.UNKNOWN
self.exit_msg='Unable to get output from nmap'
return
#
# Store open ports in list
# scans for lines where first word contains '/'
# and stores part before '/'
#
self.active_ports=[]
try:
for l in output:
if len(l)<2:
continue
s=string.split(l)[0]
if string.find(s,'/')<1:
continue
p=string.split(s,'/')[0]
if string.find(l,'open')>1:
self.active_ports.append(int(p))
except:
# failure due to strange output...
pass
if self.debug:
print 'Ports found by nmap: ',self.active_ports
#
# Filter out optional ports, we don't check status for them...
#
try:
for p in self.opt_ports:
self.active_ports.remove(p)
if self.debug and len(self.opt_ports)>0:
print 'optional ports removed:',self.active_ports
except:
# under extreame loads the remove(p) above failed for me
# a few times, this exception hanlder handles
# this bug-alike situation...
pass
opened=self.CheckOpen()
closed=self.CheckClosed()
if opened <>'':
self.exit_code=self.CRITICAL
self.exit_msg='PORTS CRITICAL - Open:%s Closed:%s'%(opened,closed)
elif closed <>'':
self.exit_code=self.WARNING
self.exit_msg='PORTS WARNING - Closed:%s'%closed
else:
self.exit_code=self.OK
self.exit_msg='PORTS ok - Only defined ports open'
def __init__(self, kw):
DMS.MBase.Class.__init__(self, kw)
self.__r = whrandom.whrandom()
self.__log = Core.Log.File(debug = self._debug, module = '1[Math].Random')
Other have been modified to be consistent with
the Cmask original RNGs.
'''
import time, math
import unittest, doctest
import random as randomBuiltin
# used to be this
# _the_same = whrandom.whrandom() # returns an instances
try:
_the_same = randomBuiltin.WichmannHill() # 2.3 and greater
except (AttributeError, ImportError):
import whrandom
_the_same = whrandom.whrandom() # 2.3 and greater
def _AlwaysTheSame():
return _the_same
from athenaCL.libATH.omde.functional import Function, make_function
from athenaCL.libATH.omde.functional import Generator
# note: undefined 'make' replaced with make_function
# Private classes
class _LehmerRNG:
"""
Linear-Congruential Random Number Generator.
Others have been modified to be consistent with
the original CMask RNGs.
'''
import time, math
import unittest, doctest
import random as randomBuiltin
# used to be this
# _the_same = whrandom.whrandom() # returns an instances
try:
_the_same = randomBuiltin.Random() # 2.3 and greater
except (AttributeError, ImportError):
import whrandom
the_same = whrandom.whrandom() # 2.3 and greater
def _AlwaysTheSame():
return _the_same
from athenaCL.libATH.omde.functional import Function, make_function
from athenaCL.libATH.omde.functional import Generator
# note: undefined 'make' replaced with make_function
# Private classes
class _LehmerRNG:
"""
import whrandom
# initialize all generators with the same seed
rand1 = whrandom.whrandom(4,7,11)
rand2 = whrandom.whrandom(4,7,11)
rand3 = whrandom.whrandom(4,7,11)
for i in range(5):
print(rand1.random(), rand2.random(), rand3.random())
## 0.123993532536 0.123993532536 0.123993532536
## 0.180951499518 0.180951499518 0.180951499518
## 0.291924111809 0.291924111809 0.291924111809
## 0.952048889363 0.952048889363 0.952048889363
## 0.969794283643 0.969794283643 0.969794283643
pass
elif britney.versioncmp(run.unstable.get_version(p), v) != 0:
ok = 0
run.writeout(" Version mismatch, %s %s != %s\n" %
(p, v, run.unstable.get_version(p)))
if not ok:
run.writeout("Not using hint\n")
elif hintcnt > 5:
run.writeout("Too many hints already, skipping hint\n")
else:
hintcnt += 1
print map(lambda hp: hp[0], x)
run.do_all(0, map(lambda hp: hp[0], x[1]))
rand = whrandom.whrandom()
rand.seed(23, 187, 96)
for q in range(datenow):
rand.random()
q = rand.random()
i = 1
run.writeout("Current value is %f\n" % (q))
if q < 0.05:
q = 0.05
run.writeout("Current value bumped to %f\n" % (q))
while 0 and i < len(
run.packages) and (2000.0 / (1 + len(run.packages)**(i + 1)))**2 > q:
run.do_all(i)
i = i + 1
import whrandom
# initialize all generators with the same seed
rand1 = whrandom.whrandom(4,7,11)
rand2 = whrandom.whrandom(4,7,11)
rand3 = whrandom.whrandom(4,7,11)
for i in range(5):
print rand1.random(), rand2.random(), rand3.random()
## 0.123993532536 0.123993532536 0.123993532536
## 0.180951499518 0.180951499518 0.180951499518
## 0.291924111809 0.291924111809 0.291924111809
## 0.952048889363 0.952048889363 0.952048889363
## 0.969794283643 0.969794283643 0.969794283643
elif britney.versioncmp(run.unstable.get_version(p), v) != 0:
ok = 0
run.writeout(" Version mismatch, %s %s != %s\n" %
(p, v, run.unstable.get_version(p)))
if not ok:
run.writeout("Not using hint\n")
elif hintcnt > 5:
run.writeout("Too many hints already, skipping hint\n")
else:
hintcnt += 1
print map(lambda hp: hp[0], x)
run.do_all(0, map(lambda hp: hp[0], x[1]))
rand = whrandom.whrandom()
rand.seed(23,187,96)
for q in range(datenow):
rand.random()
q = rand.random()
i = 1
run.writeout("Current value is %f\n" % (q))
if q < 0.05:
q = 0.05
run.writeout("Current value bumped to %f\n" % (q))
while 0 and i < len(run.packages) and (2000.0 / (1 + len(run.packages) ** (i+1))) ** 2 > q:
run.do_all(i)
i = i + 1
def setUp(self): gera_rand = whrandom.whrandom(1,1,1) # assegurar séries aleatórias idênticas self.fnrand = gera_rand.random self.t10 = Tombola(range(10), whrandom.whrandom(1,1,1).random)