# =================================================================== # # Copyright (c) 2014, Legrandin # All rights reserved. # # Redistribution and use in source and binary forms, with or without # modification, are permitted provided that the following conditions # are met: # # 1. Redistributions of source code must retain the above copyright # notice, this list of conditions and the following disclaimer. # 2. Redistributions in binary form must reproduce the above copyright # notice, this list of conditions and the following disclaimer in # the documentation and/or other materials provided with the # distribution. # # THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS # "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT # LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS # FOR A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE # COPYRIGHT HOLDER OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, # INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, # BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; # LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER # CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT # LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN # ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE # POSSIBILITY OF SUCH DAMAGE. # =================================================================== """Fast, arbitrary precision integers. :undocumented: __package__ """ __all__ = ["Integer"] from Crypto.Util.py3compat import * from Crypto import Random try: from Crypto.Math._Numbers_gmp import Integer from Crypto.Math._Numbers_gmp import implementation as _implementation except (ImportError, OSError): from Crypto.Math._Numbers_int import Integer _implementation = { } def _random(**kwargs): """Generate a random natural integer of a certain size. :Keywords: exact_bits : positive integer The length in bits of the resulting random Integer number. The number is guaranteed to fulfil the relation: 2^bits > result >= 2^(bits - 1) max_bits : positive integer The maximum length in bits of the resulting random Integer number. The number is guaranteed to fulfil the relation: 2^bits > result >=0 randfunc : callable A function that returns a random byte string. The length of the byte string is passed as parameter. Optional. If not provided (or ``None``), randomness is read from the system RNG. :Return: a Integer object """ exact_bits = kwargs.pop("exact_bits", None) max_bits = kwargs.pop("max_bits", None) randfunc = kwargs.pop("randfunc", None) if randfunc is None: randfunc = Random.new().read if exact_bits is None and max_bits is None: raise ValueError("Either 'exact_bits' or 'max_bits' must be specified") if exact_bits is not None and max_bits is not None: raise ValueError("'exact_bits' and 'max_bits' are mutually exclusive") bits = exact_bits or max_bits bytes_needed = ((bits - 1) // 8) + 1 significant_bits_msb = 8 - (bytes_needed * 8 - bits) msb = bord(randfunc(1)[0]) if exact_bits is not None: msb |= 1 << (significant_bits_msb - 1) msb &= (1 << significant_bits_msb) - 1 return Integer.from_bytes(bchr(msb) + randfunc(bytes_needed - 1)) def _random_range(**kwargs): """Generate a random integer within a given internal. :Keywords: min_inclusive : integer The lower end of the interval (inclusive). max_inclusive : integer The higher end of the interval (inclusive). max_exclusive : integer The higher end of the interval (exclusive). randfunc : callable A function that returns a random byte string. The length of the byte string is passed as parameter. Optional. If not provided (or ``None``), randomness is read from the system RNG. :Returns: An Integer randomly taken in the given interval. """ min_inclusive = kwargs.pop("min_inclusive", None) max_inclusive = kwargs.pop("max_inclusive", None) max_exclusive = kwargs.pop("max_exclusive", None) randfunc = kwargs.pop("randfunc", None) if kwargs: raise ValueError("Unknown keywords: " + str(kwargs.keys)) if None not in (max_inclusive, max_exclusive): raise ValueError("max_inclusive and max_exclusive cannot be both" " specified") if max_exclusive is not None: max_inclusive = max_exclusive - 1 if None in (min_inclusive, max_inclusive): raise ValueError("Missing keyword to identify the interval") if randfunc is None: randfunc = Random.new().read norm_maximum = max_inclusive - min_inclusive bits_needed = Integer(norm_maximum).size_in_bits() norm_candidate = -1 while not 0 <= norm_candidate <= norm_maximum: norm_candidate = _random( max_bits=bits_needed, randfunc=randfunc ) return norm_candidate + min_inclusive Integer.random = staticmethod(_random) Integer.random_range = staticmethod(_random_range)