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| 2 | This is a maximally equidistributed combined Tausworthe generator
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| 3 | based on code from GNU Scientific Library 1.5 (30 Jun 2004)
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| 4 |
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| 5 | x_n = (s1_n ^ s2_n ^ s3_n)
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| 6 |
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| 7 | s1_{n+1} = (((s1_n & 4294967294) <<12) ^ (((s1_n <<13) ^ s1_n) >>19))
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| 8 | s2_{n+1} = (((s2_n & 4294967288) << 4) ^ (((s2_n << 2) ^ s2_n) >>25))
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| 9 | s3_{n+1} = (((s3_n & 4294967280) <<17) ^ (((s3_n << 3) ^ s3_n) >>11))
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| 10 |
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| 11 | The period of this generator is about 2^88.
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| 12 |
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| 13 | From: P. L'Ecuyer, "Maximally Equidistributed Combined Tausworthe
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| 14 | Generators", Mathematics of Computation, 65, 213 (1996), 203--213.
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| 15 |
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| 16 | This is available on the net from L'Ecuyer's home page,
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| 17 |
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| 18 | http://www.iro.umontreal.ca/~lecuyer/myftp/papers/tausme.ps
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| 19 | ftp://ftp.iro.umontreal.ca/pub/simulation/lecuyer/papers/tausme.ps
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| 20 |
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| 21 | There is an erratum in the paper "Tables of Maximally
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| 22 | Equidistributed Combined LFSR Generators", Mathematics of
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| 23 | Computation, 68, 225 (1999), 261--269:
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| 24 | http://www.iro.umontreal.ca/~lecuyer/myftp/papers/tausme2.ps
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| 25 |
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| 26 | ... the k_j most significant bits of z_j must be non-
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| 27 | zero, for each j. (Note: this restriction also applies to the
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| 28 | computer code given in [4], but was mistakenly not mentioned in
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| 29 | that paper.)
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| 30 |
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| 31 | This affects the seeding procedure by imposing the requirement
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| 32 | s1 > 1, s2 > 7, s3 > 15.
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| 33 |
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| 34 |
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| 35 |
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| 36 | #include <linux/types.h>
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| 37 | #include <linux/percpu.h>
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| 38 | #include <linux/export.h>
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| 39 | #include <linux/jiffies.h>
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| 40 | #include <linux/random.h>
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| 41 |
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| 42 | static DEFINE_PER_CPU(struct rnd_state, net_rand_state);
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| 43 |
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| 44 | |
| 45 | * prandom32 - seeded pseudo-random number generator.
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| 46 | * @state: pointer to state structure holding seeded state.
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| 47 | *
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| 48 | * This is used for pseudo-randomness with no outside seeding.
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| 49 | * For more random results, use random32().
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| 50 |
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| 51 | u32 prandom32(struct rnd_state *state)
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| 52 | {
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| 53 | #define TAUSWORTHE(s,a,b,c,d) ((s&c)<<d) ^ (((s <<a) ^ s)>>b)
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| 54 |
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| 55 | state->s1 = TAUSWORTHE(state->s1, 13, 19, 4294967294UL, 12);
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| 56 | state->s2 = TAUSWORTHE(state->s2, 2, 25, 4294967288UL, 4);
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| 57 | state->s3 = TAUSWORTHE(state->s3, 3, 11, 4294967280UL, 17);
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| 58 |
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| 59 | return (state->s1 ^ state->s2 ^ state->s3);
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| 60 | }
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| 61 | EXPORT_SYMBOL(prandom32);
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| 62 |
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| 63 | |
| 64 | * random32 - pseudo random number generator
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| 65 | *
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| 66 | * A 32 bit pseudo-random number is generated using a fast
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| 67 | * algorithm suitable for simulation. This algorithm is NOT
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| 68 | * considered safe for cryptographic use.
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| 69 |
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| 70 | u32 random32(void)
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| 71 | {
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| 72 | unsigned long r;
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| 73 | struct rnd_state *state = &get_cpu_var(net_rand_state);
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| 74 | r = prandom32(state);
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| 75 | put_cpu_var(state);
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| 76 | return r;
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| 77 | }
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| 78 | EXPORT_SYMBOL(random32);
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| 79 |
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| 80 | |
| 81 | * srandom32 - add entropy to pseudo random number generator
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| 82 | * @seed: seed value
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| 83 | *
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| 84 | * Add some additional seeding to the random32() pool.
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| 85 |
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| 86 | void srandom32(u32 entropy)
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| 87 | {
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| 88 | int i;
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| 89 | |
| 90 | * No locking on the CPUs, but then somewhat random results are, well,
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| 91 | * expected.
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| 92 |
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| 93 | for_each_possible_cpu (i) {
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| 94 | struct rnd_state *state = &per_cpu(net_rand_state, i);
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| 95 | state->s1 = __seed(state->s1 ^ entropy, 1);
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| 96 | }
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| 97 | }
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| 98 | EXPORT_SYMBOL(srandom32);
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| 99 |
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| 100 | |
| 101 | * Generate some initially weak seeding values to allow
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| 102 | * to start the random32() engine.
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| 103 |
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| 104 | static int __init random32_init(void)
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| 105 | {
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| 106 | int i;
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| 107 |
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| 108 | for_each_possible_cpu(i) {
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| 109 | struct rnd_state *state = &per_cpu(net_rand_state,i);
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| 110 |
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| 111 | #define LCG(x) ((x) * 69069)
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| 112 | state->s1 = __seed(LCG(i + jiffies), 1);
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| 113 | state->s2 = __seed(LCG(state->s1), 7);
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| 114 | state->s3 = __seed(LCG(state->s2), 15);
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| 115 |
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| 116 |
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| 117 | prandom32(state);
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| 118 | prandom32(state);
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| 119 | prandom32(state);
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| 120 | prandom32(state);
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| 121 | prandom32(state);
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| 122 | prandom32(state);
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| 123 | }
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| 124 | return 0;
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| 125 | }
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| 126 | core_initcall(random32_init);
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| 127 |
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| 128 | |
| 129 | * Generate better values after random number generator
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| 130 | * is fully initialized.
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| 131 |
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| 132 | static int __init random32_reseed(void)
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| 133 | {
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| 134 | int i;
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| 135 |
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| 136 | for_each_possible_cpu(i) {
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| 137 | struct rnd_state *state = &per_cpu(net_rand_state,i);
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| 138 | u32 seeds[3];
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| 139 |
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| 140 | get_random_bytes(&seeds, sizeof(seeds));
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| 141 | state->s1 = __seed(seeds[0], 1);
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| 142 | state->s2 = __seed(seeds[1], 7);
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| 143 | state->s3 = __seed(seeds[2], 15);
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| 144 |
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| 145 |
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| 146 | prandom32(state);
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| 147 | }
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| 148 | return 0;
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| 149 | }
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| 150 | late_initcall(random32_reseed);
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