/usr/lib/python2.7/dist-packages/rsa/randnum.py is in python-rsa 3.2.3-1.1.
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The actual contents of the file can be viewed below.
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 | # -*- coding: utf-8 -*-
#
# Copyright 2011 Sybren A. Stüvel <sybren@stuvel.eu>
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
'''Functions for generating random numbers.'''
# Source inspired by code by Yesudeep Mangalapilly <yesudeep@gmail.com>
import os
from rsa import common, transform
from rsa._compat import byte
def read_random_bits(nbits):
'''Reads 'nbits' random bits.
If nbits isn't a whole number of bytes, an extra byte will be appended with
only the lower bits set.
'''
nbytes, rbits = divmod(nbits, 8)
# Get the random bytes
randomdata = os.urandom(nbytes)
# Add the remaining random bits
if rbits > 0:
randomvalue = ord(os.urandom(1))
randomvalue >>= (8 - rbits)
randomdata = byte(randomvalue) + randomdata
return randomdata
def read_random_int(nbits):
'''Reads a random integer of approximately nbits bits.
'''
randomdata = read_random_bits(nbits)
value = transform.bytes2int(randomdata)
# Ensure that the number is large enough to just fill out the required
# number of bits.
value |= 1 << (nbits - 1)
return value
def randint(maxvalue):
'''Returns a random integer x with 1 <= x <= maxvalue
May take a very long time in specific situations. If maxvalue needs N bits
to store, the closer maxvalue is to (2 ** N) - 1, the faster this function
is.
'''
bit_size = common.bit_size(maxvalue)
tries = 0
while True:
value = read_random_int(bit_size)
if value <= maxvalue:
break
if tries and tries % 10 == 0:
# After a lot of tries to get the right number of bits but still
# smaller than maxvalue, decrease the number of bits by 1. That'll
# dramatically increase the chances to get a large enough number.
bit_size -= 1
tries += 1
return value
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