python-openid 2.2.5-6 / usr / lib / python2.7 / dist-packages / openid / cryptutil.py

"""Module containing a cryptographic-quality source of randomness and
other cryptographically useful functionality

Python 2.4 needs no external support for this module, nor does Python
2.3 on a system with /dev/urandom.

Other configurations will need a quality source of random bytes and
access to a function that will convert binary strings to long
integers. This module will work with the Python Cryptography Toolkit
(pycrypto) if it is present. pycrypto can be found with a search
engine, but is currently found at:

http://www.amk.ca/python/code/crypto
"""

__all__ = [
    'base64ToLong',
    'binaryToLong',
    'hmacSha1',
    'hmacSha256',
    'longToBase64',
    'longToBinary',
    'randomString',
    'randrange',
    'sha1',
    'sha256',
    ]

import hmac
import os
import random

from openid.oidutil import toBase64, fromBase64

try:
    import hashlib
except ImportError:
    import sha as sha1_module

    try:
        from Crypto.Hash import SHA256 as sha256_module
    except ImportError:
        sha256_module = None

else:
    class HashContainer(object):
        def __init__(self, hash_constructor):
            self.new = hash_constructor
            self.digest_size = hash_constructor().digest_size

    sha1_module = HashContainer(hashlib.sha1)
    sha256_module = HashContainer(hashlib.sha256)

def hmacSha1(key, text):
    return hmac.new(key, text, sha1_module).digest()

def sha1(s):
    return sha1_module.new(s).digest()

if sha256_module is not None:
    def hmacSha256(key, text):
        return hmac.new(key, text, sha256_module).digest()

    def sha256(s):
        return sha256_module.new(s).digest()

    SHA256_AVAILABLE = True

else:
    _no_sha256 = NotImplementedError(
        'Use Python 2.5, install pycrypto or install hashlib to use SHA256')

    def hmacSha256(unused_key, unused_text):
        raise _no_sha256

    def sha256(s):
        raise _no_sha256

    SHA256_AVAILABLE = False

try:
    from Crypto.Util.number import long_to_bytes, bytes_to_long
except ImportError:
    import pickle
    try:
        # Check Python compatiblity by raising an exception on import
        # if the needed functionality is not present. Present in
        # Python >= 2.3
        pickle.encode_long
        pickle.decode_long
    except AttributeError:
        raise ImportError(
            'No functionality for serializing long integers found')

    # Present in Python >= 2.4
    try:
        reversed
    except NameError:
        def reversed(seq):
            return map(seq.__getitem__, xrange(len(seq) - 1, -1, -1))

    def longToBinary(l):
        if l == 0:
            return '\x00'

        return ''.join(reversed(pickle.encode_long(l)))

    def binaryToLong(s):
        return pickle.decode_long(''.join(reversed(s)))
else:
    # We have pycrypto

    def longToBinary(l):
        if l < 0:
            raise ValueError('This function only supports positive integers')

        bytes = long_to_bytes(l)
        if ord(bytes[0]) > 127:
            return '\x00' + bytes
        else:
            return bytes

    def binaryToLong(bytes):
        if not bytes:
            raise ValueError('Empty string passed to strToLong')

        if ord(bytes[0]) > 127:
            raise ValueError('This function only supports positive integers')

        return bytes_to_long(bytes)

# A cryptographically safe source of random bytes
try:
    getBytes = os.urandom
except AttributeError:
    try:
        from Crypto.Util.randpool import RandomPool
    except ImportError:
        # Fall back on /dev/urandom, if present. It would be nice to
        # have Windows equivalent here, but for now, require pycrypto
        # on Windows.
        try:
            _urandom = file('/dev/urandom', 'rb')
        except IOError:
            raise ImportError('No adequate source of randomness found!')
        else:
            def getBytes(n):
                bytes = []
                while n:
                    chunk = _urandom.read(n)
                    n -= len(chunk)
                    bytes.append(chunk)
                    assert n >= 0
                return ''.join(bytes)
    else:
        _pool = RandomPool()
        def getBytes(n, pool=_pool):
            if pool.entropy < n:
                pool.randomize()
            return pool.get_bytes(n)

# A randrange function that works for longs
try:
    randrange = random.SystemRandom().randrange
except AttributeError:
    # In Python 2.2's random.Random, randrange does not support
    # numbers larger than sys.maxint for randrange. For simplicity,
    # use this implementation for any Python that does not have
    # random.SystemRandom
    from math import log, ceil

    _duplicate_cache = {}
    def randrange(start, stop=None, step=1):
        if stop is None:
            stop = start
            start = 0

        r = (stop - start) // step
        try:
            (duplicate, nbytes) = _duplicate_cache[r]
        except KeyError:
            rbytes = longToBinary(r)
            if rbytes[0] == '\x00':
                nbytes = len(rbytes) - 1
            else:
                nbytes = len(rbytes)

            mxrand = (256 ** nbytes)

            # If we get a number less than this, then it is in the
            # duplicated range.
            duplicate = mxrand % r

            if len(_duplicate_cache) > 10:
                _duplicate_cache.clear()

            _duplicate_cache[r] = (duplicate, nbytes)

        while 1:
            bytes = '\x00' + getBytes(nbytes)
            n = binaryToLong(bytes)
            # Keep looping if this value is in the low duplicated range
            if n >= duplicate:
                break

        return start + (n % r) * step

def longToBase64(l):
    return toBase64(longToBinary(l))

def base64ToLong(s):
    return binaryToLong(fromBase64(s))

def randomString(length, chrs=None):
    """Produce a string of length random bytes, chosen from chrs."""
    if chrs is None:
        return getBytes(length)
    else:
        n = len(chrs)
        return ''.join([chrs[randrange(n)] for _ in xrange(length)])