244 lines
6.2 KiB
C
244 lines
6.2 KiB
C
/* Generate random permutations.
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Copyright (C) 2006-2022 Free Software Foundation, Inc.
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This program is free software: you can redistribute it and/or modify
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it under the terms of the GNU General Public License as published by
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the Free Software Foundation, either version 3 of the License, or
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(at your option) any later version.
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This program is distributed in the hope that it will be useful,
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but WITHOUT ANY WARRANTY; without even the implied warranty of
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MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
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GNU General Public License for more details.
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You should have received a copy of the GNU General Public License
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along with this program. If not, see <https://www.gnu.org/licenses/>. */
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/* Written by Paul Eggert. */
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#include <config.h>
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#include "randperm.h"
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#include <limits.h>
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#include <stdint.h>
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#include <stdlib.h>
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#include "attribute.h"
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#include "count-leading-zeros.h"
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#include "hash.h"
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#include "verify.h"
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#include "xalloc.h"
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/* Return the floor of the log base 2 of N. If N is zero, return -1. */
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ATTRIBUTE_CONST static int
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floor_lg (size_t n)
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{
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verify (SIZE_WIDTH <= ULLONG_WIDTH);
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return (n == 0 ? -1
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: SIZE_WIDTH <= UINT_WIDTH
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? UINT_WIDTH - 1 - count_leading_zeros (n)
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: SIZE_WIDTH <= ULONG_WIDTH
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? ULONG_WIDTH - 1 - count_leading_zeros_l (n)
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: ULLONG_WIDTH - 1 - count_leading_zeros_ll (n));
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}
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/* Return an upper bound on the number of random bytes needed to
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generate the first H elements of a random permutation of N
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elements. H must not exceed N. */
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size_t
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randperm_bound (size_t h, size_t n)
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{
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/* Upper bound on number of bits needed to generate the first number
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of the permutation. */
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uintmax_t lg_n = floor_lg (n) + 1;
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/* Upper bound on number of bits needed to generated the first H elements. */
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uintmax_t ar = lg_n * h;
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/* Convert the bit count to a byte count. */
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size_t bound = (ar + CHAR_BIT - 1) / CHAR_BIT;
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return bound;
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}
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/* Swap elements I and J in array V. */
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static void
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swap (size_t *v, size_t i, size_t j)
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{
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size_t t = v[i];
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v[i] = v[j];
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v[j] = t;
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}
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/* Structures and functions for a sparse_map abstract data type that's
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used to effectively swap elements I and J in array V like swap(),
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but in a more memory efficient manner (when the number of permutations
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performed is significantly less than the size of the input). */
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struct sparse_ent_
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{
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size_t index;
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size_t val;
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};
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static size_t
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sparse_hash_ (void const *x, size_t table_size)
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{
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struct sparse_ent_ const *ent = x;
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return ent->index % table_size;
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}
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static bool
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sparse_cmp_ (void const *x, void const *y)
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{
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struct sparse_ent_ const *ent1 = x;
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struct sparse_ent_ const *ent2 = y;
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return ent1->index == ent2->index;
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}
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typedef Hash_table sparse_map;
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/* Initialize the structure for the sparse map,
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when a best guess as to the number of entries
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specified with SIZE_HINT. */
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static sparse_map *
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sparse_new (size_t size_hint)
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{
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return hash_initialize (size_hint, NULL, sparse_hash_, sparse_cmp_, free);
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}
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/* Swap the values for I and J. If a value is not already present
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then assume it's equal to the index. Update the value for
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index I in array V. */
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static void
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sparse_swap (sparse_map *sv, size_t *v, size_t i, size_t j)
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{
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struct sparse_ent_ *v1 = hash_remove (sv, &(struct sparse_ent_) {i,0});
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struct sparse_ent_ *v2 = hash_remove (sv, &(struct sparse_ent_) {j,0});
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/* FIXME: reduce the frequency of these mallocs. */
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if (!v1)
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{
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v1 = xmalloc (sizeof *v1);
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v1->index = v1->val = i;
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}
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if (!v2)
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{
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v2 = xmalloc (sizeof *v2);
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v2->index = v2->val = j;
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}
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size_t t = v1->val;
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v1->val = v2->val;
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v2->val = t;
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if (!hash_insert (sv, v1))
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xalloc_die ();
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if (!hash_insert (sv, v2))
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xalloc_die ();
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v[i] = v1->val;
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}
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static void
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sparse_free (sparse_map *sv)
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{
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hash_free (sv);
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}
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/* From R, allocate and return a malloc'd array of the first H elements
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of a random permutation of N elements. H must not exceed N.
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Return NULL if H is zero. */
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size_t *
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randperm_new (struct randint_source *r, size_t h, size_t n)
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{
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size_t *v;
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switch (h)
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{
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case 0:
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v = NULL;
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break;
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case 1:
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v = xmalloc (sizeof *v);
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v[0] = randint_choose (r, n);
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break;
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default:
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{
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/* The algorithm is essentially the same in both
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the sparse and non sparse case. In the sparse case we use
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a hash to implement sparse storage for the set of n numbers
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we're shuffling. When to use the sparse method was
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determined with the help of this script:
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#!/bin/sh
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for n in $(seq 2 32); do
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for h in $(seq 2 32); do
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test $h -gt $n && continue
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for s in o n; do
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test $s = o && shuf=shuf || shuf=./shuf
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num=$(env time -f "$s:${h},${n} = %e,%M" \
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$shuf -i0-$((2**$n-2)) -n$((2**$h-2)) | wc -l)
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test $num = $((2**$h-2)) || echo "$s:${h},${n} = failed" >&2
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done
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done
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done
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This showed that if sparseness = n/h, then:
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sparseness = 128 => .125 mem used, and about same speed
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sparseness = 64 => .25 mem used, but 1.5 times slower
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sparseness = 32 => .5 mem used, but 2 times slower
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Also the memory usage was only significant when n > 128Ki
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*/
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bool sparse = (n >= (128 * 1024)) && (n / h >= 32);
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size_t i;
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sparse_map *sv;
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if (sparse)
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{
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sv = sparse_new (h * 2);
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if (sv == NULL)
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xalloc_die ();
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v = xnmalloc (h, sizeof *v);
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}
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else
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{
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sv = NULL; /* To placate GCC's -Wuninitialized. */
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v = xnmalloc (n, sizeof *v);
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for (i = 0; i < n; i++)
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v[i] = i;
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}
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for (i = 0; i < h; i++)
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{
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size_t j = i + randint_choose (r, n - i);
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if (sparse)
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sparse_swap (sv, v, i, j);
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else
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swap (v, i, j);
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}
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if (sparse)
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sparse_free (sv);
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else
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v = xnrealloc (v, h, sizeof *v);
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}
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break;
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}
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return v;
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}
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