/*

* (C) 2016,2018 Jack Lloyd

*

* Botan is released under the Simplified BSD License (see license.txt)

*/

#include <botan/internal/primality.h>

#include <botan/internal/monty_exp.h>

#include <botan/bigint.h>

#include <botan/internal/monty.h>

#include <botan/reducer.h>

#include <botan/rng.h>

#include <algorithm>

namespace Botan {

bool is_lucas_probable_prime(const BigInt& C, const Modular_Reducer& mod_C)

   {

   if(C <= 1)

      return false;

   else if(C == 2)

      return true;

   else if(C.is_even())

      return false;

   else if(C == 3 || C == 5 || C == 7 || C == 11 || C == 13)

      return true;

   BigInt D = 5;

   for(;;)

      {

      int32_t j = jacobi(D, C);

      if(j == 0)

         return false;

      if(j == -1)

         break;

      // Check 5, -7, 9, -11, 13, -15, 17, ...

      if(D.is_negative())

         {

         D.flip_sign();

         D += 2;

         }

      else

         {

         D += 2;

         D.flip_sign();

         }

      if(D == 17 && is_perfect_square(C).is_nonzero())

         return false;

      }

   const BigInt K = C + 1;

   const size_t K_bits = K.bits() - 1;

   BigInt U = 1;

   BigInt V = 1;

   BigInt Ut, Vt, U2, V2;

   for(size_t i = 0; i != K_bits; ++i)

      {

      const bool k_bit = K.get_bit(K_bits - 1 - i);

      Ut = mod_C.multiply(U, V);

      Vt = mod_C.reduce(mod_C.square(V) + mod_C.multiply(D, mod_C.square(U)));

      Vt.ct_cond_add(Vt.is_odd(), C);

      Vt >>= 1;

      Vt = mod_C.reduce(Vt);

      U = Ut;

      V = Vt;

      U2 = mod_C.reduce(Ut + Vt);

      U2.ct_cond_add(U2.is_odd(), C);

      U2 >>= 1;

      V2 = mod_C.reduce(Vt + Ut*D);

      V2.ct_cond_add(V2.is_odd(), C);

      V2 >>= 1;

      U.ct_cond_assign(k_bit, U2);

      V.ct_cond_assign(k_bit, V2);

      }

   return (U == 0);

   }

bool is_bailie_psw_probable_prime(const BigInt& n, const Modular_Reducer& mod_n)

   {

   auto monty_n = std::make_shared<Montgomery_Params>(n, mod_n);

   return passes_miller_rabin_test(n, mod_n, monty_n, 2) && is_lucas_probable_prime(n, mod_n);

   }

bool is_bailie_psw_probable_prime(const BigInt& n)

   {

   Modular_Reducer mod_n(n);

   return is_bailie_psw_probable_prime(n, mod_n);

   }

bool passes_miller_rabin_test(const BigInt& n,

                              const Modular_Reducer& mod_n,

                              const std::shared_ptr<Montgomery_Params>& monty_n,

                              const BigInt& a)

   {

   BOTAN_ASSERT_NOMSG(n > 1);

   const BigInt n_minus_1 = n - 1;

   const size_t s = low_zero_bits(n_minus_1);

   const BigInt nm1_s = n_minus_1 >> s;

   const size_t n_bits = n.bits();

   const size_t powm_window = 4;

   auto powm_a_n = monty_precompute(monty_n, a, powm_window);

   BigInt y = monty_execute(*powm_a_n, nm1_s, n_bits);

   if(y == 1 || y == n_minus_1)

      return true;

   for(size_t i = 1; i != s; ++i)

      {

      y = mod_n.square(y);

      if(y == 1) // found a non-trivial square root

         return false;

      /*

      -1 is the trivial square root of unity, so ``a`` is not a

      witness for this number - give up

      */

      if(y == n_minus_1)

         return true;

      }

   return false;

   }

bool is_miller_rabin_probable_prime(const BigInt& n,

                                    const Modular_Reducer& mod_n,

                                    RandomNumberGenerator& rng,

                                    size_t test_iterations)

   {

   BOTAN_ASSERT_NOMSG(n > 1);

   auto monty_n = std::make_shared<Montgomery_Params>(n, mod_n);

   for(size_t i = 0; i != test_iterations; ++i)

      {

      const BigInt a = BigInt::random_integer(rng, 2, n);

      if(!passes_miller_rabin_test(n, mod_n, monty_n, a))

         return false;

      }

   // Failed to find a counterexample

   return true;

   }

size_t miller_rabin_test_iterations(size_t n_bits, size_t prob, bool random)

   {

   const size_t base = (prob + 2) / 2; // worst case 4^-t error rate

   /*

   * If the candidate prime was maliciously constructed, we can't rely

   * on arguments based on p being random.

   */

   if(random == false)

      return base;

   /*

   * For randomly chosen numbers we can use the estimates from

   * http://www.math.dartmouth.edu/~carlp/PDF/paper88.pdf

   *

   * These values are derived from the inequality for p(k,t) given on

   * the second page.

   */

   if(prob <= 128)

      {

      if(n_bits >= 1536)

         return 4; // < 2^-133

      if(n_bits >= 1024)

         return 6; // < 2^-133

      if(n_bits >= 512)

         return 12; // < 2^-129

      if(n_bits >= 256)

         return 29; // < 2^-128

      }

   /*

   If the user desires a smaller error probability than we have

   precomputed error estimates for, just fall back to using the worst

   case error rate.

   */

   return base;

   }

}