@@ -252,10 +252,13 @@ JNIEXPORT void JNICALL Java_de_kherud_llama_LlamaModel_loadModel(JNIEnv *env, jo
252252 json json_params = json::parse (c_params);
253253 server_params_parse (json_params, sparams, params);
254254
255- if (json_value (json_params, " disable_log" , false )) {
256- log_disable ();
257- } else {
258- log_enable ();
255+ if (json_value (json_params, " disable_log" , false ))
256+ {
257+ log_disable ();
258+ }
259+ else
260+ {
261+ log_enable ();
259262 }
260263
261264 if (!sparams.system_prompt .empty ())
@@ -411,12 +414,14 @@ JNIEXPORT jfloatArray JNICALL Java_de_kherud_llama_LlamaModel_embed(JNIEnv *env,
411414 jlong server_handle = env->GetLongField (obj, f_model_pointer);
412415 server_context *ctx_server = reinterpret_cast <server_context *>(server_handle);
413416
414- if (!ctx_server->params .embedding ) {
415- env->ThrowNew (c_llama_error, " model was not loaded with embedding support (see ModelParameters#setEmbedding(boolean))" );
416- return nullptr ;
417+ if (!ctx_server->params .embedding )
418+ {
419+ env->ThrowNew (c_llama_error,
420+ " model was not loaded with embedding support (see ModelParameters#setEmbedding(boolean))" );
421+ return nullptr ;
417422 }
418423
419- const std::string prompt = parse_jstring (env, jprompt);
424+ const std::string prompt = parse_jstring (env, jprompt);
420425
421426 const int id_task = ctx_server->queue_tasks .get_new_id ();
422427 ctx_server->queue_results .add_waiting_task_id (id_task);
@@ -432,7 +437,7 @@ JNIEXPORT jfloatArray JNICALL Java_de_kherud_llama_LlamaModel_embed(JNIEnv *env,
432437 }
433438 else
434439 {
435- std::cout << result.data << std::endl;
440+ std::cout << result.data << std::endl;
436441 std::vector<float > embedding = result.data [" embedding" ].get <std::vector<float >>();
437442
438443 jfloatArray j_embedding = env->NewFloatArray (embedding.size ());
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