/* -*- c-basic-offset: 4; indent-tabs-mode: nil -*- */ /* ==================================================================== * Copyright (c) 2013 Carnegie Mellon University. All rights * reserved. * * Redistribution and use in source and binary forms, with or without * modification, are permitted provided that the following conditions * are met: * * 1. Redistributions of source code must retain the above copyright * notice, this list of conditions and the following disclaimer. * * 2. Redistributions in binary form must reproduce the above copyright * notice, this list of conditions and the following disclaimer in * the documentation and/or other materials provided with the * distribution. * * This work was supported in part by funding from the Defense Advanced * Research Projects Agency and the National Science Foundation of the * United States of America, and the CMU Sphinx Speech Consortium. * * THIS SOFTWARE IS PROVIDED BY CARNEGIE MELLON UNIVERSITY ``AS IS'' AND * ANY EXPRESSED OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, * THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR * PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL CARNEGIE MELLON UNIVERSITY * NOR ITS EMPLOYEES BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, * SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT * LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, * DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY * THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT * (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE * OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. * * ==================================================================== * */ %extend NGramModel { static NGramModel *fromIter(ngram_model_set_iter_t *itor) { const char *name; return ngram_model_set_iter_model(itor, &name); } NGramModel(const char *path) { logmath_t *lmath = logmath_init(1.0001, 0, 0); ngram_model_t * model = ngram_model_read(NULL, path, NGRAM_AUTO, lmath); logmath_free(lmath); return model; } NGramModel(Config *config, LogMath *logmath, const char *path) { return ngram_model_read(config, path, NGRAM_AUTO, logmath); } ~NGramModel() { ngram_model_free($self); } void write(const char *path, ngram_file_type_t ftype, int *errcode) { *errcode = ngram_model_write($self, path, ftype); } ngram_file_type_t str_to_type(const char *str) { return ngram_str_to_type(str); } const char * type_to_str(int type) { return ngram_type_to_str(type); } void casefold(int kase, int *errcode) { *errcode = ngram_model_casefold($self, kase); } int32 size() { return ngram_model_get_size($self); } int32 add_word(const char *word, float32 weight) { return ngram_model_add_word($self, word, weight); } int32 add_class(const char *c, float32 w, size_t n, char **ptr, const float32 *weights) { return ngram_model_add_class($self, c, w, ptr, weights, n); } int32 prob(size_t n, const char * const*ptr) { return ngram_prob($self, ptr, n); } } // TODO: shares ptr type with NGramModel, docstrings are not generated %extend NGramModelSet { NGramModelSet(Config *config, LogMath *logmath, const char *path) { return ngram_model_set_read(config, path, logmath); } ~NGramModelSet() { ngram_model_free($self); } int32 count() { return ngram_model_set_count($self); } NGramModel * add( NGramModel *model, const char *name, float weight, bool reuse_widmap) { return ngram_model_set_add($self, model, name, weight, reuse_widmap); } NGramModel * select(const char *name) { return ngram_model_set_select($self, name); } NGramModel * lookup(const char *name) { return ngram_model_set_lookup($self, name); } const char * current() { return ngram_model_set_current($self); } }