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https://github.com/cmusphinx/pocketsphinx.git
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213 lines
6.3 KiB
C
213 lines
6.3 KiB
C
/* -*- c-basic-offset: 4; indent-tabs-mode: nil -*- */
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/* ====================================================================
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* Copyright (c) 2009 Carnegie Mellon University. All rights
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* reserved.
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*
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* Redistribution and use in source and binary forms, with or without
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* modification, are permitted provided that the following conditions
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* are met:
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*
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* 1. Redistributions of source code must retain the above copyright
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* notice, this list of conditions and the following disclaimer.
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*
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* 2. Redistributions in binary form must reproduce the above copyright
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* notice, this list of conditions and the following disclaimer in
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* the documentation and/or other materials provided with the
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* distribution.
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*
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* This work was supported in part by funding from the Defense Advanced
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* Research Projects Agency and the National Science Foundation of the
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* United States of America, and the CMU Sphinx Speech Consortium.
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*
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* THIS SOFTWARE IS PROVIDED BY CARNEGIE MELLON UNIVERSITY ``AS IS'' AND
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* ANY EXPRESSED OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO,
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* THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR
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* PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL CARNEGIE MELLON UNIVERSITY
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* NOR ITS EMPLOYEES BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL,
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* SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT
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* LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE,
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* DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY
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* THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT
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* (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE
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* OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
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*
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* ====================================================================
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*
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*/
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/**
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* \file sphinx_lm_convert.c
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* Language model conversion tool.
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*/
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#include <pocketsphinx.h>
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#include "pocketsphinx_internal.h"
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#include "lm/ngram_model.h"
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#include "util/ckd_alloc.h"
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#include "util/cmd_ln.h"
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#include "util/ckd_alloc.h"
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#include "util/pio.h"
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#include "util/strfuncs.h"
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#include <stdio.h>
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#include <string.h>
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#include <math.h>
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static const ps_arg_t defn[] = {
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{ "help",
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ARG_BOOLEAN,
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"no",
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"Shows the usage of the tool"},
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{ "logbase",
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ARG_FLOATING,
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"1.0001",
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"Base in which all log-likelihoods calculated" },
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{ "i",
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REQARG_STRING,
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NULL,
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"Input language model file (required)"},
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{ "o",
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REQARG_STRING,
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NULL,
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"Output language model file (required)"},
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{ "ifmt",
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ARG_STRING,
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NULL,
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"Input language model format (will guess if not specified)"},
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{ "ofmt",
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ARG_STRING,
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NULL,
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"Output language model file (will guess if not specified)"},
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{ "case",
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ARG_STRING,
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NULL,
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"Ether 'lower' or 'upper' - case fold to lower/upper case (NOT UNICODE AWARE)" },
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{ "mmap",
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ARG_BOOLEAN,
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"no",
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"Use memory-mapped I/O for reading binary LM files"},
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{ NULL, 0, NULL, NULL }
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};
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static void
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usagemsg(char *pgm)
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{
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E_INFO("Usage: %s -i <input.lm> \\\n", pgm);
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E_INFOCONT("\t[-ifmt txt] [-ofmt dmp]\n");
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E_INFOCONT("\t-o <output.lm.DMP>\n");
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exit(0);
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}
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int
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main(int argc, char *argv[])
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{
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cmd_ln_t *config;
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ngram_model_t *lm = NULL;
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logmath_t *lmath;
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int itype, otype;
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char const *kase;
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if ((config = cmd_ln_parse_r(NULL, defn, argc, argv, TRUE)) == NULL) {
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/* This probably just means that we got no arguments. */
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err_set_loglevel(ERR_INFO);
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cmd_ln_log_help_r(NULL, defn);
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return 1;
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}
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if (ps_config_bool(config, "help")) {
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usagemsg(argv[0]);
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}
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/* Create log math object. */
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if ((lmath = logmath_init
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(ps_config_float(config, "logbase"), 0, 0)) == NULL) {
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E_FATAL("Failed to initialize log math\n");
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}
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if (ps_config_str(config, "i") == NULL || ps_config_str(config, "i") == NULL) {
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E_ERROR("Please specify both input and output models\n");
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goto error_out;
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}
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/* Load the input language model. */
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if (ps_config_str(config, "ifmt")) {
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if ((itype = ngram_str_to_type(ps_config_str(config, "ifmt")))
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== NGRAM_INVALID) {
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E_ERROR("Invalid input type %s\n", ps_config_str(config, "ifmt"));
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goto error_out;
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}
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lm = ngram_model_read(config, ps_config_str(config, "i"),
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itype, lmath);
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}
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else {
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lm = ngram_model_read(config, ps_config_str(config, "i"),
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NGRAM_AUTO, lmath);
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}
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if (lm == NULL) {
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E_ERROR("Failed to read the model from the file '%s'\n", ps_config_str(config, "i"));
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goto error_out;
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}
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/* Guess or set the output language model type. */
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if (ps_config_str(config, "ofmt")) {
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if ((otype = ngram_str_to_type(ps_config_str(config, "ofmt")))
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== NGRAM_INVALID) {
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E_ERROR("Invalid output type %s\n", ps_config_str(config, "ofmt"));
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goto error_out;
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}
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}
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else {
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otype = ngram_file_name_to_type(ps_config_str(config, "o"));
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}
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/* Case fold if requested. */
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if ((kase = ps_config_str(config, "case"))) {
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if (0 == strcmp(kase, "lower")) {
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ngram_model_casefold(lm, NGRAM_LOWER);
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}
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else if (0 == strcmp(kase, "upper")) {
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ngram_model_casefold(lm, NGRAM_UPPER);
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}
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else {
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E_ERROR("Unknown value for -case: %s\n", kase);
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goto error_out;
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}
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}
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/* Write the output language model. */
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if (ngram_model_write(lm, ps_config_str(config, "o"), otype) != 0) {
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E_ERROR("Failed to write language model in format %s to %s\n",
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ngram_type_to_str(otype), ps_config_str(config, "o"));
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goto error_out;
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}
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/* That's all folks! */
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ngram_model_free(lm);
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if (lmath) {
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logmath_free(lmath);
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}
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if (config) {
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ps_config_free(config);
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}
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return 0;
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error_out:
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ngram_model_free(lm);
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if (lmath) {
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logmath_free(lmath);
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}
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if (config) {
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ps_config_free(config);
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}
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return 1;
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}
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