def getrandbits(self, k):
"""Return a python long integer with k random bits."""
if self._randfunc is None:
self._randfunc = Random.new().read
mask = (1L << k) - 1
return mask & bytes_to_long(self._randfunc(ceil_div(k, 8)))
python类ceil_div()的实例源码
def randrange(self, *args):
"""randrange([start,] stop[, step]):
Return a randomly-selected element from range(start, stop, step)."""
if len(args) == 3:
(start, stop, step) = args
elif len(args) == 2:
(start, stop) = args
step = 1
elif len(args) == 1:
(stop,) = args
start = 0
step = 1
else:
raise TypeError("randrange expected at most 3 arguments, got %d" % (len(args),))
if (not isinstance(start, (int, long))
or not isinstance(stop, (int, long))
or not isinstance(step, (int, long))):
raise TypeError("randrange requires integer arguments")
if step == 0:
raise ValueError("randrange step argument must not be zero")
num_choices = ceil_div(stop - start, step)
if num_choices < 0:
num_choices = 0
if num_choices < 1:
raise ValueError("empty range for randrange(%r, %r, %r)" % (start, stop, step))
# Pick a random number in the range of possible numbers
r = num_choices
while r >= num_choices:
r = self.getrandbits(size(num_choices))
return start + (step * r)
def MGF1(mgfSeed, maskLen, hash):
"""Mask Generation Function, described in B.2.1"""
T = b("")
for counter in xrange(ceil_div(maskLen, hash.digest_size)):
c = long_to_bytes(counter, 4)
T = T + hash.new(mgfSeed + c).digest()
assert(len(T)>=maskLen)
return T[:maskLen]
def getrandbits(self, k):
"""Return a python long integer with k random bits."""
if self._randfunc is None:
self._randfunc = Random.new().read
mask = (1L << k) - 1
return mask & bytes_to_long(self._randfunc(ceil_div(k, 8)))
def randrange(self, *args):
"""randrange([start,] stop[, step]):
Return a randomly-selected element from range(start, stop, step)."""
if len(args) == 3:
(start, stop, step) = args
elif len(args) == 2:
(start, stop) = args
step = 1
elif len(args) == 1:
(stop,) = args
start = 0
step = 1
else:
raise TypeError("randrange expected at most 3 arguments, got %d" % (len(args),))
if (not isinstance(start, (int, long))
or not isinstance(stop, (int, long))
or not isinstance(step, (int, long))):
raise TypeError("randrange requires integer arguments")
if step == 0:
raise ValueError("randrange step argument must not be zero")
num_choices = ceil_div(stop - start, step)
if num_choices < 0:
num_choices = 0
if num_choices < 1:
raise ValueError("empty range for randrange(%r, %r, %r)" % (start, stop, step))
# Pick a random number in the range of possible numbers
r = num_choices
while r >= num_choices:
r = self.getrandbits(size(num_choices))
return start + (step * r)
def MGF1(mgfSeed, maskLen, hash):
"""Mask Generation Function, described in B.2.1"""
T = b("")
for counter in xrange(ceil_div(maskLen, hash.digest_size)):
c = long_to_bytes(counter, 4)
T = T + hash.new(mgfSeed + c).digest()
assert(len(T)>=maskLen)
return T[:maskLen]
def getrandbits(self, k):
"""Return a python long integer with k random bits."""
if self._randfunc is None:
self._randfunc = Random.new().read
mask = (1L << k) - 1
return mask & bytes_to_long(self._randfunc(ceil_div(k, 8)))
def randrange(self, *args):
"""randrange([start,] stop[, step]):
Return a randomly-selected element from range(start, stop, step)."""
if len(args) == 3:
(start, stop, step) = args
elif len(args) == 2:
(start, stop) = args
step = 1
elif len(args) == 1:
(stop,) = args
start = 0
step = 1
else:
raise TypeError("randrange expected at most 3 arguments, got %d" % (len(args),))
if (not isinstance(start, (int, long))
or not isinstance(stop, (int, long))
or not isinstance(step, (int, long))):
raise TypeError("randrange requires integer arguments")
if step == 0:
raise ValueError("randrange step argument must not be zero")
num_choices = ceil_div(stop - start, step)
if num_choices < 0:
num_choices = 0
if num_choices < 1:
raise ValueError("empty range for randrange(%r, %r, %r)" % (start, stop, step))
# Pick a random number in the range of possible numbers
r = num_choices
while r >= num_choices:
r = self.getrandbits(size(num_choices))
return start + (step * r)
def MGF1(mgfSeed, maskLen, hash):
"""Mask Generation Function, described in B.2.1"""
T = b("")
for counter in xrange(ceil_div(maskLen, hash.digest_size)):
c = long_to_bytes(counter, 4)
T = T + hash.new(mgfSeed + c).digest()
assert(len(T)>=maskLen)
return T[:maskLen]
def getrandbits(self, k):
"""Return a python long integer with k random bits."""
if self._randfunc is None:
self._randfunc = Random.new().read
mask = (1L << k) - 1
return mask & bytes_to_long(self._randfunc(ceil_div(k, 8)))
def randrange(self, *args):
"""randrange([start,] stop[, step]):
Return a randomly-selected element from range(start, stop, step)."""
if len(args) == 3:
(start, stop, step) = args
elif len(args) == 2:
(start, stop) = args
step = 1
elif len(args) == 1:
(stop,) = args
start = 0
step = 1
else:
raise TypeError("randrange expected at most 3 arguments, got %d" % (len(args),))
if (not isinstance(start, (int, long))
or not isinstance(stop, (int, long))
or not isinstance(step, (int, long))):
raise TypeError("randrange requires integer arguments")
if step == 0:
raise ValueError("randrange step argument must not be zero")
num_choices = ceil_div(stop - start, step)
if num_choices < 0:
num_choices = 0
if num_choices < 1:
raise ValueError("empty range for randrange(%r, %r, %r)" % (start, stop, step))
# Pick a random number in the range of possible numbers
r = num_choices
while r >= num_choices:
r = self.getrandbits(size(num_choices))
return start + (step * r)
def MGF1(mgfSeed, maskLen, hash):
"""Mask Generation Function, described in B.2.1"""
T = b("")
for counter in xrange(ceil_div(maskLen, hash.digest_size)):
c = long_to_bytes(counter, 4)
T = T + hash.new(mgfSeed + c).digest()
assert(len(T)>=maskLen)
return T[:maskLen]
def getrandbits(self, k):
"""Return a python long integer with k random bits."""
if self._randfunc is None:
self._randfunc = Random.new().read
mask = (1L << k) - 1
return mask & bytes_to_long(self._randfunc(ceil_div(k, 8)))
def randrange(self, *args):
"""randrange([start,] stop[, step]):
Return a randomly-selected element from range(start, stop, step)."""
if len(args) == 3:
(start, stop, step) = args
elif len(args) == 2:
(start, stop) = args
step = 1
elif len(args) == 1:
(stop,) = args
start = 0
step = 1
else:
raise TypeError("randrange expected at most 3 arguments, got %d" % (len(args),))
if (not isinstance(start, (int, long))
or not isinstance(stop, (int, long))
or not isinstance(step, (int, long))):
raise TypeError("randrange requires integer arguments")
if step == 0:
raise ValueError("randrange step argument must not be zero")
num_choices = ceil_div(stop - start, step)
if num_choices < 0:
num_choices = 0
if num_choices < 1:
raise ValueError("empty range for randrange(%r, %r, %r)" % (start, stop, step))
# Pick a random number in the range of possible numbers
r = num_choices
while r >= num_choices:
r = self.getrandbits(size(num_choices))
return start + (step * r)
def MGF1(mgfSeed, maskLen, hash):
"""Mask Generation Function, described in B.2.1"""
T = b("")
for counter in xrange(ceil_div(maskLen, hash.digest_size)):
c = long_to_bytes(counter, 4)
T = T + hash.new(mgfSeed + c).digest()
assert(len(T)>=maskLen)
return T[:maskLen]
def getrandbits(self, k):
"""Return a python long integer with k random bits."""
if self._randfunc is None:
self._randfunc = Random.new().read
mask = (1L << k) - 1
return mask & bytes_to_long(self._randfunc(ceil_div(k, 8)))
def randrange(self, *args):
"""randrange([start,] stop[, step]):
Return a randomly-selected element from range(start, stop, step)."""
if len(args) == 3:
(start, stop, step) = args
elif len(args) == 2:
(start, stop) = args
step = 1
elif len(args) == 1:
(stop,) = args
start = 0
step = 1
else:
raise TypeError("randrange expected at most 3 arguments, got %d" % (len(args),))
if (not isinstance(start, (int, long))
or not isinstance(stop, (int, long))
or not isinstance(step, (int, long))):
raise TypeError("randrange requires integer arguments")
if step == 0:
raise ValueError("randrange step argument must not be zero")
num_choices = ceil_div(stop - start, step)
if num_choices < 0:
num_choices = 0
if num_choices < 1:
raise ValueError("empty range for randrange(%r, %r, %r)" % (start, stop, step))
# Pick a random number in the range of possible numbers
r = num_choices
while r >= num_choices:
r = self.getrandbits(size(num_choices))
return start + (step * r)
def MGF1(mgfSeed, maskLen, hash):
"""Mask Generation Function, described in B.2.1"""
T = b("")
for counter in xrange(ceil_div(maskLen, hash.digest_size)):
c = long_to_bytes(counter, 4)
T = T + hash.new(mgfSeed + c).digest()
assert(len(T)>=maskLen)
return T[:maskLen]
def getrandbits(self, k):
"""Return a python long integer with k random bits."""
if self._randfunc is None:
self._randfunc = Random.new().read
mask = (1 << k) - 1
return mask & bytes_to_long(self._randfunc(ceil_div(k, 8)))
def randrange(self, *args):
"""randrange([start,] stop[, step]):
Return a randomly-selected element from range(start, stop, step)."""
if len(args) == 3:
(start, stop, step) = args
elif len(args) == 2:
(start, stop) = args
step = 1
elif len(args) == 1:
(stop,) = args
start = 0
step = 1
else:
raise TypeError("randrange expected at most 3 arguments, got %d" % (len(args),))
if (not isinstance(start, int)
or not isinstance(stop, int)
or not isinstance(step, int)):
raise TypeError("randrange requires integer arguments")
if step == 0:
raise ValueError("randrange step argument must not be zero")
num_choices = ceil_div(stop - start, step)
if num_choices < 0:
num_choices = 0
if num_choices < 1:
raise ValueError("empty range for randrange(%r, %r, %r)" % (start, stop, step))
# Pick a random number in the range of possible numbers
r = num_choices
while r >= num_choices:
r = self.getrandbits(size(num_choices))
return start + (step * r)
def MGF1(mgfSeed, maskLen, hash):
"""Mask Generation Function, described in B.2.1"""
T = b("")
for counter in range(ceil_div(maskLen, hash.digest_size)):
c = long_to_bytes(counter, 4)
T = T + hash.new(mgfSeed + c).digest()
assert(len(T)>=maskLen)
return T[:maskLen]
def getrandbits(self, k):
"""Return a python long integer with k random bits."""
if self._randfunc is None:
self._randfunc = Random.new().read
mask = (1L << k) - 1
return mask & bytes_to_long(self._randfunc(ceil_div(k, 8)))
def randrange(self, *args):
"""randrange([start,] stop[, step]):
Return a randomly-selected element from range(start, stop, step)."""
if len(args) == 3:
(start, stop, step) = args
elif len(args) == 2:
(start, stop) = args
step = 1
elif len(args) == 1:
(stop,) = args
start = 0
step = 1
else:
raise TypeError("randrange expected at most 3 arguments, got %d" % (len(args),))
if (not isinstance(start, (int, long))
or not isinstance(stop, (int, long))
or not isinstance(step, (int, long))):
raise TypeError("randrange requires integer arguments")
if step == 0:
raise ValueError("randrange step argument must not be zero")
num_choices = ceil_div(stop - start, step)
if num_choices < 0:
num_choices = 0
if num_choices < 1:
raise ValueError("empty range for randrange(%r, %r, %r)" % (start, stop, step))
# Pick a random number in the range of possible numbers
r = num_choices
while r >= num_choices:
r = self.getrandbits(size(num_choices))
return start + (step * r)
def MGF1(mgfSeed, maskLen, hash):
"""Mask Generation Function, described in B.2.1"""
T = b("")
for counter in xrange(ceil_div(maskLen, hash.digest_size)):
c = long_to_bytes(counter, 4)
T = T + hash.new(mgfSeed + c).digest()
assert(len(T)>=maskLen)
return T[:maskLen]
def getrandbits(self, k):
"""Return a python long integer with k random bits."""
if self._randfunc is None:
self._randfunc = Random.new().read
mask = (1L << k) - 1
return mask & bytes_to_long(self._randfunc(ceil_div(k, 8)))
def randrange(self, *args):
"""randrange([start,] stop[, step]):
Return a randomly-selected element from range(start, stop, step)."""
if len(args) == 3:
(start, stop, step) = args
elif len(args) == 2:
(start, stop) = args
step = 1
elif len(args) == 1:
(stop,) = args
start = 0
step = 1
else:
raise TypeError("randrange expected at most 3 arguments, got %d" % (len(args),))
if (not isinstance(start, (int, long))
or not isinstance(stop, (int, long))
or not isinstance(step, (int, long))):
raise TypeError("randrange requires integer arguments")
if step == 0:
raise ValueError("randrange step argument must not be zero")
num_choices = ceil_div(stop - start, step)
if num_choices < 0:
num_choices = 0
if num_choices < 1:
raise ValueError("empty range for randrange(%r, %r, %r)" % (start, stop, step))
# Pick a random number in the range of possible numbers
r = num_choices
while r >= num_choices:
r = self.getrandbits(size(num_choices))
return start + (step * r)
def MGF1(mgfSeed, maskLen, hash):
"""Mask Generation Function, described in B.2.1"""
T = b("")
for counter in xrange(ceil_div(maskLen, hash.digest_size)):
c = long_to_bytes(counter, 4)
T = T + hash.new(mgfSeed + c).digest()
assert(len(T)>=maskLen)
return T[:maskLen]
def getrandbits(self, k):
"""Return a python long integer with k random bits."""
if self._randfunc is None:
self._randfunc = Random.new().read
mask = (1L << k) - 1
return mask & bytes_to_long(self._randfunc(ceil_div(k, 8)))
def randrange(self, *args):
"""randrange([start,] stop[, step]):
Return a randomly-selected element from range(start, stop, step)."""
if len(args) == 3:
(start, stop, step) = args
elif len(args) == 2:
(start, stop) = args
step = 1
elif len(args) == 1:
(stop,) = args
start = 0
step = 1
else:
raise TypeError("randrange expected at most 3 arguments, got %d" % (len(args),))
if (not isinstance(start, (int, long))
or not isinstance(stop, (int, long))
or not isinstance(step, (int, long))):
raise TypeError("randrange requires integer arguments")
if step == 0:
raise ValueError("randrange step argument must not be zero")
num_choices = ceil_div(stop - start, step)
if num_choices < 0:
num_choices = 0
if num_choices < 1:
raise ValueError("empty range for randrange(%r, %r, %r)" % (start, stop, step))
# Pick a random number in the range of possible numbers
r = num_choices
while r >= num_choices:
r = self.getrandbits(size(num_choices))
return start + (step * r)
def MGF1(mgfSeed, maskLen, hash):
"""Mask Generation Function, described in B.2.1"""
T = b("")
for counter in xrange(ceil_div(maskLen, hash.digest_size)):
c = long_to_bytes(counter, 4)
T = T + hash.new(mgfSeed + c).digest()
assert(len(T)>=maskLen)
return T[:maskLen]
