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linearhashtable.py
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linearhashtable.py
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"""A Set implementation that uses hashing with linaer probing"""
from utils import new_array
from base import BaseSet
w = 32
class LinearHashTable(BaseSet):
def __init__(self, iterable=[]):
self._initialize()
self.initialize()
self.add_all(iterable)
def _initialize(self):
self.dl = object()
def initialize(self):
self.d = 1
self.t = new_array((1<<self.d))
self.q = 0
self.n = 0
def _resize(self):
self.d = 1
while ((1<<self.d) < 3*self.n): self.d += 1
told = self.t
self.t = new_array((1<<self.d))
self.q = self.n
for x in told:
if x is not None and x != self.dl:
i = self._hash(x)
while self.t[i] is not None:
i = (i+1) % len(self.t)
self.t[i] = x
def hash_code(self, x):
return hash(x)
def _hash(self, x):
h = self.hash_code(x)
return (self.tab[0][h&0xff] \
^ self.tab[1][(h>>8)&0xff] \
^ self.tab[2][(h>>16)&0xff] \
^ self.tab[3][(h>>24)&0xff]) >> (w-self.d)
def add(self, x):
if self.find(x) is not None: return False
if 2*(self.q+1) > len(self.t): self._resize()
i = self._hash(x)
while self.t[i] is not None and self.t[i] != self.dl:
i = (i + 1) % len(self.t)
if self.t[i] is None: self.q += 1
self.n += 1
self.t[i] = x
return True
def find(self, x):
i = self._hash(x)
while self.t[i] is not None:
if self.t[i] != self.dl and x == self.t[i]:
return self.t[i]
i = (i + 1) % len(self.t)
def remove(self, x):
i = self._hash(x)
while self.t[i] is not None:
y = self.t[i]
if y != self.dl and x == y:
self.t[i] = self.dl
self.n -= 1
if 8*self.n < len(self.t): resize()
return y
i = (i + 1) % len(self.t)
return None
def clear(self):
self.initialize()
def __iter__(self):
for x in self.t:
if x is not None and x != self.dl:
yield x
"""Fake sample code:
def add_slow(self, x):
if 2*(self.q+1) > len(self.t): resize()
i = self._hash(x)
while self.t[i] is not None:
if self.t[1] != self.dl and x == self.t[i]: return False
i = (i + 1) % len(self.t[i])
t[i] = x
self.n += 1
self.q += 1
return True
def ideal_hash(self, x):
return tab[x.hashCode() >> w-d]
"""
"""A bunch of random values for use in tabulation hashing"""
tab = \
[[0x0069aeff,
0x6ac0719e,
0x384cd7ee,
0xcba78313,
0x133ef89a,
0xb37979e6,
0xa4c4e09c,
0x911c738b,
0xc7fe9194,
0xba8e5dc7,
0xe610718c,
0x48460ac5,
0x6b4d9d43,
0x73afeeab,
0x051264cb,
0x4b3dba93,
0x28837665,
0xfb80a52b,
0xad1c14af,
0xb2baf17f,
0x35e311a5,
0xf7fa2905,
0xa973c315,
0x00885f47,
0x8842622b,
0x0445a92c,
0x701ba3a0,
0xef608902,
0x176099ad,
0xd240f938,
0xb32d83c6,
0xb341afb8,
0xc3a978fb,
0x55ed1f0c,
0xb581286e,
0x8ff6938e,
0x9f11c1c5,
0x4d083bd6,
0x1aacc2a4,
0xdf13f00a,
0x1e282712,
0x772d354b,
0x21e3a7fd,
0x4bc932dc,
0xe1deb7ba,
0x5e868b8a,
0xc9331cc6,
0xaa931bbf,
0xff92aba6,
0xe3efc69f,
0xda3b8e2a,
0xf9b21ec1,
0x2fb89674,
0x61c87462,
0xa553c2f9,
0xca01e279,
0x35999337,
0xf44c4fd3,
0x136a2773,
0x812607a8,
0xbfcd9bbf,
0x0b1d15cd,
0xc2a0038b,
0x029ab4f7,
0xcd7c58f9,
0xed3821c4,
0x325457c6,
0x1dc6b295,
0x876dcb83,
0x52df45fc,
0xa01c9fba,
0xc938ff66,
0x19e52c87,
0x03ae67f9,
0x7db39e51,
0x74f31686,
0x5f10e5a3,
0x74108d8a,
0x64e63104,
0xd86a38d6,
0x65be2fbb,
0xef06049e,
0x9bca1dbd,
0x06c63e73,
0xe97bd103,
0xfed3c22c,
0x09d10fc6,
0xb92633a3,
0x21378ebf,
0xe37fa54e,
0x893c7910,
0xc1c74a5a,
0x6c23c029,
0x4d4b6187,
0xd72bb8fb,
0x0dbe1118,
0x5e0f4188,
0xce0d2dc8,
0x8dd83231,
0x0466ab90,
0x814bc11a,
0xef688b9b,
0x0a03c851,
0xca3c984f,
0x6df87ca4,
0x6b34d1b2,
0x2bad5c75,
0xaed1b6d8,
0x8c73f8b4,
0x4577d798,
0x5c953767,
0xe7da2d51,
0x2b9279a0,
0x418d9b51,
0x8c47ec3d,
0x894e6119,
0xa0ca769d,
0x1c3b16a4,
0xa1621b5b,
0xa695da53,
0x22462819,
0xf4b878cf,
0x72b4d648,
0x1faf4267,
0x4ba16750,
0x08a9d645,
0x6bfb829c,
0xe051295f,
0x6dd5cd97,
0x2e9d1baf,
0x6ed6231d,
0x6f84cb25,
0x9ae60c95,
0xbcee55ca,
0x6831cd97,
0x2ccdbc99,
0x9f8a0a81,
0xa0b2c08f,
0xe957c36b,
0x9cb797b5,
0x107c6362,
0x48dacf5d,
0x6e16f569,
0x39be78c3,
0x6445637f,
0xed445ee5,
0x8ec45004,
0x9ef8a405,
0xb5796a45,
0x049d5143,
0xb3c1d852,
0xc36d9b44,
0xab0da981,
0xff5226b3,
0x19169b4c,
0x9a49194d,
0xba218b42,
0xab98c8ee,
0x4db02645,
0x6faca3c8,
0x12c60d2d,
0xaf67b750,
0xf0f6a855,
0xead566d9,
0x42d0cccd,
0x76a532bb,
0x82a6dc35,
0xc1c23d0e,
0x83d45bd2,
0xd7024912,
0x97888901,
0x2b7cdd2c,
0x523742a5,
0xecb96b3b,
0xd800d833,
0x7b4d0c91,
0x95c7dd86,
0x88880aad,
0xf0ce0990,
0x7e292a90,
0x79ac4437,
0x8a9f59cc,
0x818444d1,
0xae4e735d,
0xa529db95,
0x58b35661,
0xa909a7de,
0x9273beaa,
0xfe94332c,
0x259b88e4,
0xc88f4f6a,
0x2a9d33ef,
0x4b5d106d,
0xdc3a9fca,
0xa8061cad,
0x7679422c,
0xaf72ad02,
0xc5799ea5,
0x306d694d,
0x620aad10,
0xd188b9dd,
0xeff6ad87,
0x6b890354,
0xb5907cd3,
0x733290fc,
0x4b6c0733,
0x0bad0ebd,
0xa049d3ad,
0xc9d0cdae,
0x9c144d6f,
0x5990b63b,
0xfa33d8e2,
0x9ebeb5a0,
0xbc7c5c92,
0xd3edd2e6,
0x54ae1af6,
0xd6ada4bd,
0x14094c5a,
0x0e3c5adf,
0xf1ab60f1,
0x74456a66,
0x0f3a675a,
0x87445d0d,
0xa81adc2e,
0x0f47a1a5,
0x4eedb844,
0x9c9cb0ce,
0x8bb3d330,
0x02df93e6,
0x86e3ad51,
0x1c1072b9,
0xacf3001b,
0xbd08c487,
0xc2667a11,
0xdd5ef664,
0xd47b67fb,
0x959cca45,
0xa7da8e68,
0xb75b1e18,
0x75201924,
0xe689ab8b,
0x0f5e6b0a,
0x75205923,
0xbba35593,
0xd24dab24,
0x0288caeb,
0xcbf022a9,
0x392d7ee5,
0x16fe493a,
0xb6bcadfd,
0x9813ec72,
0x9aa3d37c,
0xee88a59e,
0x6cdbad4e,
0x6b96aabf,
0xcb54d5e5],
[0x116fc403,
0x260d7e7b,
0xdef689e7,
0xa5b3d49a,
0x921f3594,
0xb24c8cba,
0x1bdefb3f,
0x6519e846,
0x24b37253,
0x1cc6b12b,
0x6f48f06e,
0xca90b0db,
0x8e20570b,
0xda75ed0f,
0x1b515143,
0x0990a659,
0xdcedb6b3,
0xec22de79,
0xdd56f7a9,
0x901194a6,
0x4bf3db02,
0x5d31787d,
0xd24da2ca,
0x9fc9bc14,
0x9aa38ac9,
0xe95972ba,
0x8233a732,
0xb9d4317e,
0x51f9b329,
0x94f12c56,
0x1ace26e4,
0xecda5183,
0x1353e547,
0x39b99ab3,
0x6413ac97,
0xeb6b5334,
0xdd94ed2b,
0x298e9d2c,
0xd38abc91,
0x3f17ee4e,
0x99f8931d,
0x88bae7da,
0xb5506a36,
0x2d7baf6d,
0x42a98d2b,
0xbb9b94b9,
0x58820083,
0x521bba4c,
0x76699597,
0x137b86be,
0x8533888e,
0xb37316dd,
0x284c3de4,
0xfe60e3e6,
0x94edaa40,
0x919c85cd,
0x24cb6f23,
0x6b446fbd,
0xbe933c15,
0x2a43951a,
0x791a9f90,
0x47977c04,
0xa6350eec,
0x95e817a5,
0xffc82e8c,
0xad379229,
0x6ec9531a,
0x8cab29f9,
0xb2f18402,
0xd0ebdac1,
0xd7b559b4,
0x7ad30e7c,
0xe1d1adb7,
0x58a66f9c,
0x7a26636a,
0x8c865f92,
0x65363517,
0x732b87db,
0x64a1ad52,
0x72e87c39,
0x0b943e4d,
0x532d3593,
0xedcf9975,
0x44b5bec1,
0x13ac91f8,
0x6e6f3a76,
0x36ac3c6d,
0x528a3ecf,
0xf3d8cd75,
0x8facd64c,
0xdb4d13d5,
0x80d49a67,
0xaa7061d3,
0x9486ba8d,
0x7454a65b,
0x18e7b707,
0xd9cc05b9,
0x44eb014d,
0x28ba26d8,
0xa8852791,
0xf8dc3053,
0xabe46b52,
0x9e261d1f,
0x768f83dd,
0x1c888838,
0x6d9b9ce6,
0x69e82575,
0x2959538f,
0xd0ff9685,
0x92b4540c,
0x7c93035b,
0x7cad90ad,
0x49aaa908,
0x3981f4b8,
0x191f4339,
0xd0971bfc,
0xa7209692,
0x0e253cad,
0x40e2ee61,
0xc5c63486,
0xdf4f238b,
0x2d3cb89a,
0x3b5704b2,
0xcc14c2cb,
0xb1698d38,
0x079c3b9b,
0xbb3867e4,
0x9f01e223,
0x35e69012,
0x5c87d888,
0x2cea4193,
0xee088da5,
0x0ea4d5ab,
0x8a4906e8,
0xf6e5e283,
0xee87fa18,
0x9f96c751,
0x947252c0,
0x9b50b97e,
0x05952521,
0x9440f5ae,
0xa0642786,
0xebcc62be,
0xadccf011,
0x00b863e6,
0x1c3ab5b3,
0x7c701e4b,
0xa9565792,
0xb1ad459c,
0x833ba164,
0x89544ae3,
0x35540c75,
0x198d0fec,
0xbe93bf33,
0xc28444b3,
0xbc3add48,
0xb4300c14,
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