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#include <ngram_model.h>
#include <logmath.h>
#include <strfuncs.h>
#include "test_macros.h"
#include <stdio.h>
#include <string.h>
#include <math.h>
void
run_tests(ngram_model_t *model)
{
int32 n_used;
ngram_tg_score(model,
ngram_wid(model, "daines"),
ngram_wid(model, "huggins"),
ngram_wid(model, "huggins"), &n_used);
TEST_EQUAL(n_used, 2);
ngram_tg_score(model,
ngram_wid(model, "david"),
ngram_wid(model, "david"),
ngram_wid(model, "david"), &n_used);
TEST_EQUAL(n_used, 1);
/* Apply weights. */
ngram_model_apply_weights(model, 7.5, 0.5);
/* -9452 * 7.5 + log(0.5) = -77821 */
TEST_EQUAL_LOG(ngram_score(model, "daines", "huggins", "david", NULL),
-77821);
/* Recover original score. */
TEST_EQUAL_LOG(ngram_probv(model, "daines", "huggins", "david", NULL),
-9452);
TEST_EQUAL_LOG(ngram_probv(model, "huggins", "david", NULL), -831);
/* Un-apply weights. */
ngram_model_apply_weights(model, 1.0, 1.0);
TEST_EQUAL_LOG(ngram_score(model, "daines", "huggins", "david", NULL),
-9452);
TEST_EQUAL_LOG(ngram_score(model, "huggins", "david", NULL), -831);
/* Recover original score. */
TEST_EQUAL_LOG(ngram_probv(model, "daines", "huggins", "david", NULL),
-9452);
/* Pre-weighting, this should give the "raw" score. */
TEST_EQUAL_LOG(ngram_score(model, "daines", "huggins", "david", NULL),
-9452);
TEST_EQUAL_LOG(ngram_score(model, "huggins", "david", NULL), -831);
/* Verify that backoff mode calculations work. */
ngram_bg_score(model,
ngram_wid(model, "huggins"),
ngram_wid(model, "david"), &n_used);
TEST_EQUAL(n_used, 2);
ngram_bg_score(model,
ngram_wid(model, "blorglehurfle"),
ngram_wid(model, "david"), &n_used);
TEST_EQUAL(n_used, 1);
ngram_bg_score(model,
ngram_wid(model, "david"),
ngram_wid(model, "david"), &n_used);
TEST_EQUAL(n_used, 1);
ngram_tg_score(model,
ngram_wid(model, "daines"),
ngram_wid(model, "huggins"),
ngram_wid(model, "david"), &n_used);
TEST_EQUAL(n_used, 3);
}
int
main(int argc, char *argv[])
{
logmath_t *lmath;
ngram_model_t *model;
lmath = logmath_init(1.0001, 0, 0);
model = ngram_model_read(NULL, LMDIR "/100.lm.bin", NGRAM_BIN, lmath);
run_tests(model);
ngram_model_free(model);
model = ngram_model_read(NULL, LMDIR "/100.lm.gz", NGRAM_ARPA, lmath);
run_tests(model);
ngram_model_free(model);
logmath_free(lmath);
return 0;
}
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