| | #include "lm/ngram_model.h" |
| | #include <pocketsphinx/logmath.h> |
| | #include "util/strfuncs.h" |
| | #include <pocketsphinx/err.h> |
| |
|
| | #include "test_macros.h" |
| |
|
| | #include <stdio.h> |
| | #include <stdlib.h> |
| | #include <string.h> |
| | #include <math.h> |
| |
|
| | static int |
| | test_lm_vals(ngram_model_t *model) |
| | { |
| | int32 n_used; |
| | TEST_ASSERT(model); |
| | TEST_EQUAL(ngram_wid(model, "<UNK>"), 0); |
| | TEST_EQUAL(strcmp(ngram_word(model, 0), "<UNK>"), 0); |
| | TEST_EQUAL(ngram_wid(model, "absolute"), 13); |
| | TEST_EQUAL(strcmp(ngram_word(model, 13), "absolute"), 0); |
| | |
| | TEST_EQUAL(ngram_score(model, "<UNK>", NULL), -75346); |
| | TEST_EQUAL(ngram_bg_score(model, ngram_wid(model, "<UNK>"), |
| | NGRAM_INVALID_WID, &n_used), -75346); |
| | TEST_EQUAL(n_used, 1); |
| | TEST_EQUAL(ngram_score(model, "sphinxtrain", NULL), -64208); |
| | TEST_EQUAL(ngram_bg_score(model, ngram_wid(model, "sphinxtrain"), |
| | NGRAM_INVALID_WID, &n_used), -64208); |
| | TEST_EQUAL(n_used, 1); |
| | |
| | TEST_EQUAL(ngram_score(model, "huggins", "david", NULL), -831); |
| | |
| | TEST_EQUAL_LOG(ngram_score(model, "daines", "huggins", "david", NULL), -9450); |
| | return 0; |
| | } |
| |
|
| | static int |
| | test_lm_ug_vals(ngram_model_t *model) |
| | { |
| | TEST_ASSERT(model); |
| | TEST_EQUAL(ngram_score(model, "BACKWARD", NULL), -53008); |
| | return 0; |
| | } |
| |
|
| | int |
| | main(int argc, char *argv[]) |
| | { |
| | logmath_t *lmath; |
| | ngram_model_t *model; |
| |
|
| | (void)argc; |
| | (void)argv; |
| | err_set_loglevel(ERR_INFO); |
| |
|
| | |
| | lmath = logmath_init(1.0001, 0, 0); |
| |
|
| | |
| | model = ngram_model_read(NULL, LMDIR "/turtle.ug.lm", NGRAM_ARPA, lmath); |
| | test_lm_ug_vals(model); |
| | TEST_EQUAL(0, ngram_model_free(model)); |
| |
|
| | |
| | model = ngram_model_read(NULL, LMDIR "/turtle.ug.lm.dmp", NGRAM_BIN, lmath); |
| | test_lm_ug_vals(model); |
| | TEST_EQUAL(0, ngram_model_free(model)); |
| |
|
| | |
| | model = ngram_model_read(NULL, LMDIR "/104.lm.gz", NGRAM_ARPA, lmath); |
| | TEST_EQUAL(0, ngram_model_free(model)); |
| |
|
| | |
| | model = ngram_model_read(NULL, LMDIR "/105.lm.gz", NGRAM_ARPA, lmath); |
| | TEST_EQUAL(NULL, model); |
| |
|
| | |
| | model = ngram_model_read(NULL, LMDIR "/106.lm.gz", NGRAM_ARPA, lmath); |
| | TEST_EQUAL(NULL, model); |
| |
|
| | |
| | model = ngram_model_read(NULL, LMDIR "/107.lm.gz", NGRAM_ARPA, lmath); |
| | TEST_EQUAL(0, ngram_model_free(model)); |
| |
|
| | |
| | model = ngram_model_read(NULL, LMDIR "/100.lm.bz2", NGRAM_ARPA, lmath); |
| | test_lm_vals(model); |
| | TEST_EQUAL(0, ngram_model_free(model)); |
| |
|
| | |
| | model = ngram_model_read(NULL, LMDIR "/100.lm.bin", NGRAM_BIN, lmath); |
| | test_lm_vals(model); |
| | TEST_EQUAL(0, ngram_model_free(model)); |
| |
|
| | |
| | model = ngram_model_read(NULL, LMDIR "/100.lm.dmp", NGRAM_BIN, lmath); |
| | test_lm_vals(model); |
| | |
| | model = ngram_model_retain(model); |
| | TEST_EQUAL(1, ngram_model_free(model)); |
| | TEST_EQUAL(ngram_score(model, "daines", "huggins", "david", NULL), -9452); |
| | TEST_EQUAL(0, ngram_model_free(model)); |
| |
|
| |
|
| | logmath_free(lmath); |
| |
|
| | return 0; |
| | } |
| |
|