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siqs_factorization.pl
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siqs_factorization.pl
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#!/usr/bin/perl
=begin
This script factorizes a natural number given as a command line
parameter into its prime factors. It first attempts to use trial
division to find very small factors, then uses other special-purpose
factorization methods to find slightly larger factors. If any large
factors remain, it uses the Self-Initializing Quadratic Sieve (SIQS) [2]
to factorize those.
[2] Contini, Scott Patrick. 'Factoring integers with the self-
initializing quadratic sieve.' (1997).
=cut
use 5.020;
use strict;
use warnings;
use Math::GMPz;
use POSIX qw(ULONG_MAX);
use experimental qw(signatures);
use ntheory qw(
urandomm valuation sqrtmod invmod random_prime factor_exp vecmin
is_square divisors todigits primes prime_iterator
);
use Math::Prime::Util::GMP qw(
is_power powmod vecprod sqrtint rootint logint is_prime
gcd sieve_primes consecutive_integer_lcm lucas_sequence
);
my $ZERO = Math::GMPz->new(0);
my $ONE = Math::GMPz->new(1);
local $| = 1;
# Tuning parameters
use constant {
MASK_LIMIT => 200, # show Cn if n > MASK_LIMIT, where n ~ log_10(N)
LOOK_FOR_SMALL_FACTORS => 1,
TRIAL_DIVISION_LIMIT => 1_000_000,
PHI_FINDER_ITERATIONS => 100_000,
FERMAT_ITERATIONS => 100_000,
NEAR_POWER_ITERATIONS => 1_000,
PELL_ITERATIONS => 50_000,
FLT_ITERATIONS => 200_000,
HOLF_ITERATIONS => 100_000,
MBE_ITERATIONS => 100,
MILLER_RABIN_ITERATIONS => 100,
LUCAS_MILLER_ITERATIONS => 50,
SIQS_TRIAL_DIVISION_EPS => 25,
SIQS_MIN_PRIME_POLYNOMIAL => 400,
SIQS_MAX_PRIME_POLYNOMIAL => 4000,
};
my @small_primes = sieve_primes(2, TRIAL_DIVISION_LIMIT);
package Polynomial {
sub new ($class, $coeff, $A = undef, $B = undef) {
bless {
a => $A,
b => $B,
coeff => $coeff,
}, $class;
}
sub eval ($self, $x) {
my $res = $ZERO;
foreach my $k (@{$self->{coeff}}) {
$res *= $x;
$res += $k;
}
return $res;
}
}
package FactorBasePrime {
sub new ($class, $p, $t, $lp) {
bless {
p => $p,
soln1 => undef,
soln2 => undef,
t => $t,
lp => $lp,
ainv => undef,
}, $class;
}
}
sub siqs_factor_base_primes ($n, $nf) {
my @factor_base;
foreach my $p (@small_primes) {
my $t = sqrtmod($n, $p) // next;
my $lp = sprintf('%0.f', log($p) / log(2));
push @factor_base, FactorBasePrime->new($p, $t, $lp);
if (scalar(@factor_base) >= $nf) {
last;
}
}
return \@factor_base;
}
sub siqs_create_poly ($A, $B, $n, $factor_base, $first) {
my $B_orig = $B;
if (($B << 1) > $A) {
$B = $A - $B;
}
# 0 < $B or die 'error';
# 2 * $B <= $A or die 'error';
# ($B * $B - $n) % $A == 0 or die 'error';
my $g = Polynomial->new([$A * $A, ($A * $B) << 1, $B * $B - $n], $A, $B_orig);
my $h = Polynomial->new([$A, $B]);
foreach my $fb (@$factor_base) {
next if Math::GMPz::Rmpz_divisible_ui_p($A, $fb->{p});
#<<<
$fb->{ainv} = int(invmod($A, $fb->{p})) if $first;
$fb->{soln1} = int(($fb->{ainv} * ( $fb->{t} - $B)) % $fb->{p});
$fb->{soln2} = int(($fb->{ainv} * (-$fb->{t} - $B)) % $fb->{p});
#>>>
}
return ($g, $h);
}
sub siqs_find_first_poly ($n, $m, $factor_base) {
my $p_min_i;
my $p_max_i;
foreach my $i (0 .. $#{$factor_base}) {
my $fb = $factor_base->[$i];
if (not defined($p_min_i) and $fb->{p} >= SIQS_MIN_PRIME_POLYNOMIAL) {
$p_min_i = $i;
}
if (not defined($p_max_i) and $fb->{p} > SIQS_MAX_PRIME_POLYNOMIAL) {
$p_max_i = $i - 1;
last;
}
}
# The following may happen if the factor base is small
if (not defined($p_max_i)) {
$p_max_i = $#{$factor_base};
}
if (not defined($p_min_i)) {
$p_min_i = 5;
}
if ($p_max_i - $p_min_i < 20) {
$p_min_i = vecmin($p_min_i, 5);
}
my $target0 = (log("$n") + log(2)) / 2 - log("$m");
my $target1 = $target0 - log(($factor_base->[$p_min_i]{p} + $factor_base->[$p_max_i]{p}) / 2) / 2;
# find q such that the product of factor_base[q_i] is approximately
# sqrt(2 * n) / m; try a few different sets to find a good one
my ($best_q, $best_a, $best_ratio);
for (1 .. 30) {
my $A = $ONE;
my $log_A = 0;
my %Q;
while ($log_A < $target1) {
my $p_i = 0;
while ($p_i == 0 or exists $Q{$p_i}) {
$p_i = $p_min_i + urandomm($p_max_i - $p_min_i + 1);
}
my $fb = $factor_base->[$p_i];
$A *= $fb->{p};
$log_A += log($fb->{p});
$Q{$p_i} = $fb;
}
my $ratio = exp($log_A - $target0);
# ratio too small seems to be not good
if ( !defined($best_ratio)
or ($ratio >= 0.9 and $ratio < $best_ratio)
or ($best_ratio < 0.9 and $ratio > $best_ratio)) {
$best_q = \%Q;
$best_a = $A;
$best_ratio = $ratio;
}
}
my $A = $best_a;
my $B = $ZERO;
my @arr;
foreach my $fb (values %$best_q) {
my $p = $fb->{p};
#($A % $p == 0) or die 'error';
my $r = $A / $p;
#$fb->{t} // die 'error';
#gcd($r, $p) == 1 or die 'error';
my $gamma = ($fb->{t} * int(invmod($r, $p))) % $p;
if ($gamma > ($p >> 1)) {
$gamma = $p - $gamma;
}
my $t = $r * $gamma;
$B += $t;
push @arr, $t;
}
my ($g, $h) = siqs_create_poly($A, $B, $n, $factor_base, 1);
return ($g, $h, \@arr);
}
sub siqs_find_next_poly ($n, $factor_base, $i, $g, $arr) {
# Compute the (i+1)-th polynomials for the Self-Initializing
# Quadratic Sieve, given that g is the i-th polynomial.
my $v = valuation($i, 2);
my $z = ((($i >> ($v + 1)) & 1) == 0) ? -1 : 1;
my $A = $g->{a};
my $B = ($g->{b} + 2 * $z * $arr->[$v]) % $A;
return siqs_create_poly($A, $B, $n, $factor_base, 0);
}
sub siqs_sieve ($factor_base, $m) {
# Perform the sieving step of the SIQS. Return the sieve array.
my @sieve_array = (0) x (2 * $m + 1);
foreach my $fb (@$factor_base) {
$fb->{p} > 100 or next;
$fb->{soln1} // next;
my $p = $fb->{p};
my $lp = $fb->{lp};
my $end = 2 * $m;
my $i_start_1 = -int(($m + $fb->{soln1}) / $p);
my $a_start_1 = int($fb->{soln1} + $i_start_1 * $p);
for (my $i = $a_start_1 + $m ; $i <= $end ; $i += $p) {
$sieve_array[$i] += $lp;
}
my $i_start_2 = -int(($m + $fb->{soln2}) / $p);
my $a_start_2 = int($fb->{soln2} + $i_start_2 * $p);
for (my $i = $a_start_2 + $m ; $i <= $end ; $i += $p) {
$sieve_array[$i] += $lp;
}
}
return \@sieve_array;
}
sub siqs_trial_divide ($n, $factor_base_info) {
# Determine whether the given number can be fully factorized into
# primes from the factors base. If so, return the indices of the
# factors from the factor base. If not, return undef.
my $factor_prod = $factor_base_info->{prod};
state $g = Math::GMPz::Rmpz_init_nobless();
state $t = Math::GMPz::Rmpz_init_nobless();
Math::GMPz::Rmpz_set($t, $n);
Math::GMPz::Rmpz_gcd($g, $t, $factor_prod);
while (Math::GMPz::Rmpz_cmp_ui($g, 1) > 0) {
Math::GMPz::Rmpz_remove($t, $t, $g);
if (Math::GMPz::Rmpz_cmp_ui($t, 1) == 0) {
my $factor_index = $factor_base_info->{index};
return [map { [$factor_index->{$_->[0]}, $_->[1]] } factor_exp($n)];
}
Math::GMPz::Rmpz_gcd($g, $t, $g);
}
return undef;
}
sub siqs_trial_division ($n, $sieve_array, $factor_base_info, $smooth_relations, $g, $h, $m, $req_relations) {
# Perform the trial division step of the Self-Initializing Quadratic Sieve.
my $limit = (log("$m") + log("$n") / 2) / log(2) - SIQS_TRIAL_DIVISION_EPS;
foreach my $i (0 .. $#{$sieve_array}) {
next if ((my $sa = $sieve_array->[$i]) < $limit);
my $x = $i - $m;
my $gx = abs($g->eval($x));
my $divisors_idx = siqs_trial_divide($gx, $factor_base_info) // next;
my $u = $h->eval($x);
my $v = $gx;
#(($u * $u) % $n == ($v % $n)) or die 'error';
push @$smooth_relations, [$u, $v, $divisors_idx];
if (scalar(@$smooth_relations) >= $req_relations) {
return 1;
}
}
return 0;
}
sub siqs_build_matrix ($factor_base, $smooth_relations) {
# Build the matrix for the linear algebra step of the Quadratic Sieve.
my $fb = scalar(@$factor_base);
my @matrix;
foreach my $sr (@$smooth_relations) {
my @row = (0) x $fb;
foreach my $pair (@{$sr->[2]}) {
$row[$pair->[0]] = $pair->[1] % 2;
}
push @matrix, \@row;
}
return \@matrix;
}
sub siqs_build_matrix_opt ($M) {
# Convert the given matrix M of 0s and 1s into a list of numbers m
# that correspond to the columns of the matrix.
# The j-th number encodes the j-th column of matrix M in binary:
# The i-th bit of m[i] is equal to M[i][j].
my $m = scalar(@{$M->[0]});
my @cols_binary = ("") x $m;
foreach my $mi (@$M) {
foreach my $j (0 .. $#{$mi}) {
$cols_binary[$j] .= $mi->[$j];
}
}
#<<<
return ([map {
Math::GMPz::Rmpz_init_set_str(scalar reverse($_), 2)
} @cols_binary], scalar(@$M), $m);
#>>>
}
sub find_pivot_column_opt ($M, $j) {
# For a matrix produced by siqs_build_matrix_opt, return the row of
# the first non-zero entry in column j, or None if no such row exists.
my $v = $M->[$j];
if ($v == 0) {
return undef;
}
return valuation($v, 2);
}
sub siqs_solve_matrix_opt ($M, $n, $m) {
# Perform the linear algebra step of the SIQS. Perform fast
# Gaussian elimination to determine pairs of perfect squares mod n.
# Use the optimizations described in [1].
# [1] Koç, Çetin K., and Sarath N. Arachchige. 'A Fast Algorithm for
# Gaussian Elimination over GF (2) and its Implementation on the
# GAPP.' Journal of Parallel and Distributed Computing 13.1
# (1991): 118-122.
my @row_is_marked = (0) x $n;
my @pivots = (-1) x $m;
foreach my $j (0 .. $m - 1) {
my $i = find_pivot_column_opt($M, $j) // next;
$pivots[$j] = $i;
$row_is_marked[$i] = 1;
foreach my $k (0 .. $m - 1) {
if ($k != $j and Math::GMPz::Rmpz_tstbit($M->[$k], $i)) {
Math::GMPz::Rmpz_xor($M->[$k], $M->[$k], $M->[$j]);
}
}
}
my @perf_squares;
foreach my $i (0 .. $n - 1) {
if (not $row_is_marked[$i]) {
my @perfect_sq_indices = ($i);
foreach my $j (0 .. $m - 1) {
if (Math::GMPz::Rmpz_tstbit($M->[$j], $i)) {
push @perfect_sq_indices, $pivots[$j];
}
}
push @perf_squares, \@perfect_sq_indices;
}
}
return \@perf_squares;
}
sub siqs_calc_sqrts ($n, $square_indices, $smooth_relations) {
# Given on of the solutions returned by siqs_solve_matrix_opt and
# the corresponding smooth relations, calculate the pair [a, b], such
# that a^2 = b^2 (mod n).
my $r1 = $ONE;
my $r2 = $ONE;
foreach my $i (@$square_indices) {
($r1 *= $smooth_relations->[$i][0]) %= $n;
($r2 *= $smooth_relations->[$i][1]);
}
$r2 = Math::GMPz->new(sqrtint($r2));
return ($r1, $r2);
}
sub siqs_factor_from_square ($n, $square_indices, $smooth_relations) {
# Given one of the solutions returned by siqs_solve_matrix_opt,
# return the factor f determined by f = gcd(a - b, n), where
# a, b are calculated from the solution such that a*a = b*b (mod n).
# Return f, a factor of n (possibly a trivial one).
my ($sqrt1, $sqrt2) = siqs_calc_sqrts($n, $square_indices, $smooth_relations);
#(($sqrt1 * $sqrt1) % $n == ($sqrt2 * $sqrt2) % $n) or die 'error';
return Math::GMPz->new(gcd($sqrt1 - $sqrt2, $n));
}
sub siqs_find_more_factors_gcd (@numbers) {
my %res;
foreach my $i (0 .. $#numbers) {
my $n = $numbers[$i];
$res{$n} = $n;
foreach my $k ($i + 1 .. $#numbers) {
my $m = $numbers[$k];
my $fact = Math::GMPz->new(gcd($n, $m));
if ($fact != 1 and $fact != $n and $fact != $m) {
if (not exists($res{$fact})) {
say "SIQS: GCD found non-trivial factor: $fact";
$res{$fact} = $fact;
}
my $t1 = $n / $fact;
my $t2 = $m / $fact;
$res{$t1} = $t1;
$res{$t2} = $t2;
}
}
}
return (values %res);
}
sub siqs_find_factors ($n, $perfect_squares, $smooth_relations) {
# Perform the last step of the Self-Initializing Quadratic Field.
# Given the solutions returned by siqs_solve_matrix_opt, attempt to
# identify a number of (not necessarily prime) factors of n, and
# return them.
my @factors;
my $rem = $n;
my %non_prime_factors;
my %prime_factors;
foreach my $square_indices (@$perfect_squares) {
my $fact = siqs_factor_from_square($n, $square_indices, $smooth_relations);
if ($fact > 1 and $fact < $rem) {
if (is_prime($fact)) {
if (not exists $prime_factors{$fact}) {
say "SIQS: Prime factor found: $fact";
$prime_factors{$fact} = $fact;
}
$rem = check_factor($rem, $fact, \@factors);
if ($rem == 1) {
last;
}
if (is_prime($rem)) {
push @factors, $rem;
$rem = 1;
last;
}
if (defined(my $root = check_perfect_power($rem))) {
say "SIQS: Perfect power detected with root: $root";
push @factors, $root;
$rem = 1;
last;
}
}
else {
if (not exists $non_prime_factors{$fact}) {
say "SIQS: Composite factor found: $fact";
$non_prime_factors{$fact} = $fact;
}
}
}
}
if ($rem != 1 and keys(%non_prime_factors)) {
$non_prime_factors{$rem} = $rem;
my @primes;
my @composites;
foreach my $fact (siqs_find_more_factors_gcd(values %non_prime_factors)) {
if (is_prime($fact)) {
push @primes, $fact;
}
elsif ($fact > 1) {
push @composites, $fact;
}
}
foreach my $fact (@primes, @composites) {
if ($fact != $rem and $rem % $fact == 0) {
say "SIQS: Using non-trivial factor from GCD: $fact";
$rem = check_factor($rem, $fact, \@factors);
}
if ($rem == 1 or is_prime($rem)) {
last;
}
}
}
if ($rem != 1) {
push @factors, $rem;
}
return @factors;
}
sub siqs_choose_range ($n) {
# Choose m for sieving in [-m, m].
$n = "$n";
return sprintf('%.0f', exp(sqrt(log($n) * log(log($n))) / 2));
}
sub siqs_choose_nf ($n) {
# Choose parameters nf (sieve of factor base)
$n = "$n";
return sprintf('%.0f', exp(sqrt(log($n) * log(log($n))))**(sqrt(2) / 4));
}
sub siqs_choose_nf2 ($n) {
# Choose parameters nf (sieve of factor base)
$n = "$n";
return sprintf('%.0f', exp(sqrt(log($n) * log(log($n))) / 2));
}
sub siqs_factorize ($n, $nf) {
# Use the Self-Initializing Quadratic Sieve algorithm to identify
# one or more non-trivial factors of the given number n. Return the
# factors as a list.
my $m = siqs_choose_range($n);
my @factors;
my $factor_base = siqs_factor_base_primes($n, $nf);
my $factor_prod = Math::GMPz->new(vecprod(map { $_->{p} } @$factor_base));
my %factor_base_index;
@factor_base_index{map { $_->{p} } @{$factor_base}} = 0 .. $#{$factor_base};
my $factor_base_info = {
base => $factor_base,
prod => $factor_prod,
index => \%factor_base_index,
};
my $smooth_relations = [];
my $required_relations_ratio = 1;
my $success = 0;
my $prev_cnt = 0;
my $i_poly = 0;
my ($g, $h, $arr);
while (not $success) {
say "*** Step 1/2: Finding smooth relations ***";
say "SIQS sieving range: [-$m, $m]";
my $required_relations = sprintf('%.0f', (scalar(@$factor_base) + 1) * $required_relations_ratio);
say "Target: $required_relations relations.";
my $enough_relations = 0;
while (not $enough_relations) {
if ($i_poly == 0) {
($g, $h, $arr) = siqs_find_first_poly($n, $m, $factor_base);
}
else {
($g, $h) = siqs_find_next_poly($n, $factor_base, $i_poly, $g, $arr);
}
if (++$i_poly >= (1 << $#{$arr})) {
$i_poly = 0;
}
my $sieve_array = siqs_sieve($factor_base, $m);
$enough_relations = siqs_trial_division($n, $sieve_array, $factor_base_info, $smooth_relations, $g, $h, $m, $required_relations);
if ( scalar(@$smooth_relations) >= $required_relations
or scalar(@$smooth_relations) > $prev_cnt) {
printf("Progress: %d/%d relations.\r", scalar(@$smooth_relations), $required_relations);
$prev_cnt = scalar(@$smooth_relations);
}
}
say "\n\n*** Step 2/2: Linear Algebra ***";
say "Building matrix for linear algebra step...";
my $M = siqs_build_matrix($factor_base, $smooth_relations);
my ($M_opt, $M_n, $M_m) = siqs_build_matrix_opt($M);
say "Finding perfect squares using Gaussian elimination...";
my $perfect_squares = siqs_solve_matrix_opt($M_opt, $M_n, $M_m);
say "Finding factors from congruences of squares...\n";
@factors = siqs_find_factors($n, $perfect_squares, $smooth_relations);
if (scalar(@factors) > 1) {
$success = 1;
}
else {
say "Failed to find a solution. Finding more relations...";
$required_relations_ratio += 0.05;
}
}
return @factors;
}
sub check_factor ($n, $i, $factors) {
while ($n % $i == 0) {
$n /= $i;
push @$factors, $i;
if (is_prime($n)) {
push @$factors, $n;
return 1;
}
}
return $n;
}
sub trial_division_small_primes ($n) {
# Perform trial division on the given number n using all primes up
# to upper_bound. Initialize the global variable small_primes with a
# list of all primes <= upper_bound. Return (factors, rem), where
# factors is the list of identified prime factors of n, and rem is the
# remaining factor. If rem = 1, the function terminates early, without
# fully initializing small_primes.
say "[*] Trial division...";
my $factors = [];
my $rem = $n;
foreach my $p (@small_primes) {
if (Math::GMPz::Rmpz_divisible_ui_p($rem, $p)) {
$rem = check_factor($rem, $p, $factors);
last if ($rem == 1);
}
}
return ($factors, $rem);
}
sub fast_fibonacci_factor ($n, $upto) {
my $g = Math::GMPz::Rmpz_init();
my ($P, $Q) = (3, 1);
my $U0 = Math::GMPz::Rmpz_init_set_ui(0);
my $U1 = Math::GMPz::Rmpz_init_set_ui(1);
my $V0 = Math::GMPz::Rmpz_init_set_ui(2);
my $V1 = Math::GMPz::Rmpz_init_set_ui($P);
foreach my $k (2 .. $upto) {
# my ($U, $V) = Math::Prime::Util::GMP::lucas_sequence($n, $P, $Q, $k);
Math::GMPz::Rmpz_set($g, $U1);
Math::GMPz::Rmpz_mul_ui($U1, $U1, $P);
Math::GMPz::Rmpz_submul_ui($U1, $U0, $Q);
Math::GMPz::Rmpz_mod($U1, $U1, $n);
Math::GMPz::Rmpz_set($U0, $g);
Math::GMPz::Rmpz_set($g, $V1);
Math::GMPz::Rmpz_mul_ui($V1, $V1, $P);
Math::GMPz::Rmpz_submul_ui($V1, $V0, $Q);
Math::GMPz::Rmpz_mod($V1, $V1, $n);
Math::GMPz::Rmpz_set($V0, $g);
foreach my $param ([$U1, 0], [$V1, -$P, -2 * $Q, 0]) {
my ($t, @deltas) = @$param;
foreach my $delta (@deltas) {
($delta >= 0)
? Math::GMPz::Rmpz_add_ui($g, $t, $delta)
: Math::GMPz::Rmpz_sub_ui($g, $t, -$delta);
Math::GMPz::Rmpz_gcd($g, $g, $n);
if ( Math::GMPz::Rmpz_cmp_ui($g, 1) > 0
and Math::GMPz::Rmpz_cmp($g, $n) < 0) {
return $g;
}
}
}
}
return undef;
}
sub fast_power_check ($n, $upto) {
state $t = Math::GMPz::Rmpz_init_nobless();
state $g = Math::GMPz::Rmpz_init_nobless();
my $base_limit = vecmin(logint($n, 2), 150);
foreach my $base (2 .. $base_limit) {
Math::GMPz::Rmpz_set_ui($t, $base);
foreach my $exp (2 .. $upto) {
Math::GMPz::Rmpz_mul_ui($t, $t, $base);
foreach my $k ($base <= 10 ? (1 .. ($base_limit >> 1)) : 1) {
Math::GMPz::Rmpz_mul_ui($g, $t, $k);
Math::GMPz::Rmpz_sub_ui($g, $g, 1);
Math::GMPz::Rmpz_gcd($g, $g, $n);
if (Math::GMPz::Rmpz_cmp_ui($g, 1) > 0 and Math::GMPz::Rmpz_cmp($g, $n) < 0) {
return Math::GMPz::Rmpz_init_set($g);
}
Math::GMPz::Rmpz_mul_ui($g, $t, $k);
Math::GMPz::Rmpz_add_ui($g, $g, 1);
Math::GMPz::Rmpz_gcd($g, $g, $n);
if (Math::GMPz::Rmpz_cmp_ui($g, 1) > 0 and Math::GMPz::Rmpz_cmp($g, $n) < 0) {
return Math::GMPz::Rmpz_init_set($g);
}
}
}
}
return undef;
}
sub cyclotomic_polynomial ($n, $x, $m) {
$x = Math::GMPz::Rmpz_init_set_ui($x) if !ref($x);
# Generate the squarefree divisors of n, along
# with the number of prime factors of each divisor
my @sd;
foreach my $pe (factor_exp($n)) {
my ($p) = @$pe;
push @sd, map { [$_->[0] * $p, $_->[1] + 1] } @sd;
push @sd, [$p, 1];
}
push @sd, [Math::GMPz::Rmpz_init_set_ui(1), 0];
my $prod = Math::GMPz::Rmpz_init_set_ui(1);
foreach my $pair (@sd) {
my ($d, $c) = @$pair;
my $base = Math::GMPz::Rmpz_init();
my $exp = CORE::int($n / $d);
Math::GMPz::Rmpz_powm_ui($base, $x, $exp, $m); # x^(n/d) mod m
Math::GMPz::Rmpz_sub_ui($base, $base, 1);
if ($c % 2 == 1) {
Math::GMPz::Rmpz_invert($base, $base, $m) || return $base;
}
Math::GMPz::Rmpz_mul($prod, $prod, $base);
Math::GMPz::Rmpz_mod($prod, $prod, $m);
}
return $prod;
}
sub cyclotomic_factorization ($n) {
my $g = Math::GMPz::Rmpz_init();
my $base_limit = vecmin(1 + logint($n, 2), 1000);
for (my $base = $base_limit ; $base >= 2 ; $base -= 1) {
my $lim = 1 + logint($n, $base);
foreach my $k (1 .. $lim) {
my $c = cyclotomic_polynomial($k, $base, $n);
Math::GMPz::Rmpz_gcd($g, $n, $c);
if ( Math::GMPz::Rmpz_cmp_ui($g, 1) > 0
and Math::GMPz::Rmpz_cmp($g, $n) < 0) {
return $g;
}
}
}
return undef;
}
sub fast_lucasVmod ($P, $n, $m) { # assumes Q = 1
my ($V1, $V2) = (Math::GMPz::Rmpz_init_set_ui(2), Math::GMPz::Rmpz_init_set($P));
foreach my $bit (todigits($n, 2)) {
if ($bit) {
Math::GMPz::Rmpz_mul($V1, $V1, $V2);
Math::GMPz::Rmpz_powm_ui($V2, $V2, 2, $m);
Math::GMPz::Rmpz_sub($V1, $V1, $P);
Math::GMPz::Rmpz_sub_ui($V2, $V2, 2);
Math::GMPz::Rmpz_mod($V1, $V1, $m);
}
else {
Math::GMPz::Rmpz_mul($V2, $V2, $V1);
Math::GMPz::Rmpz_powm_ui($V1, $V1, 2, $m);
Math::GMPz::Rmpz_sub($V2, $V2, $P);
Math::GMPz::Rmpz_sub_ui($V1, $V1, 2);
Math::GMPz::Rmpz_mod($V2, $V2, $m);
}
}
return $V1;
}
sub chebyshev_factorization ($n, $B, $A = 127) {
# The Chebyshev factorization method, taking
# advantage of the smoothness of p-1 or p+1.
my $x = Math::GMPz::Rmpz_init_set_ui($A);
my $i = Math::GMPz::Rmpz_init_set_ui(2);
Math::GMPz::Rmpz_invert($i, $i, $n);
my $chebyshevTmod = sub ($A, $x) {
Math::GMPz::Rmpz_mul_2exp($x, $x, 1);
Math::GMPz::Rmpz_set($x, fast_lucasVmod($x, $A, $n));
Math::GMPz::Rmpz_mul($x, $x, $i);
Math::GMPz::Rmpz_mod($x, $x, $n);
};
my $g = Math::GMPz::Rmpz_init();
my $lnB = 2 * log($B);
my $s = sqrtint($B);
foreach my $p (@{primes(2, $s)}) {
for (1 .. int($lnB / log($p))) {
$chebyshevTmod->($p, $x); # T_k(x) (mod n)
}
}
my $it = prime_iterator($s + 1);
for (my $p = $it->() ; $p <= $B ; $p = $it->()) {
$chebyshevTmod->($p, $x); # T_k(x) (mod n)
Math::GMPz::Rmpz_sub_ui($g, $x, 1);
Math::GMPz::Rmpz_gcd($g, $g, $n);
if (Math::GMPz::Rmpz_cmp_ui($g, 1) > 0) {
return undef if (Math::GMPz::Rmpz_cmp($g, $n) == 0);
return $g;
}
}
return undef;
}
sub fibonacci_factorization ($n, $bound) {
# The Fibonacci factorization method, taking
# advantage of the smoothness of `p - legendre(p, 5)`.
my ($P, $Q) = (1, 0);
for (my $k = 2 ; ; ++$k) {
my $D = (-1)**$k * (2 * $k + 1);
if (Math::GMPz::Rmpz_si_kronecker($D, $n) == -1) {
$Q = (1 - $D) / 4;
last;
}
}
state %cache;
my $g = Math::GMPz::Rmpz_init();
for (; ;) {
return undef if $bound <= 1;
my $d = ($cache{$bound} //= consecutive_integer_lcm($bound));
my ($U, $V) = map { Math::GMPz::Rmpz_init_set_str($_, 10) } lucas_sequence($n, $P, $Q, $d);
foreach my $t ($U, $V - 2, $V, $V + 2) {
Math::GMPz::Rmpz_gcd($g, $t, $n);
if ( Math::GMPz::Rmpz_cmp_ui($g, 1) > 0
and Math::GMPz::Rmpz_cmp($g, $n) < 0) {
return $g;
}
}
if ($U == 0) {
say ":: p±1 seems to be $bound-smooth...";