refactor: reorganize imports and improve code formatting across multiple modules

tests/messy_test.rs

@@ -2,9 +2,9 @@
 
 use std::time::Instant;
 
-use aha::utils::{tensor_utils::interpolate_nearest_1d};
+use aha::utils::tensor_utils::interpolate_nearest_1d;
 use anyhow::Result;
-use candle_core::{Tensor};
+use candle_core::Tensor;
 // use symphonia::core::io::MediaSourceStream;
 
 #[test]
@@ -16,8 +16,11 @@ fn messy_test() -> Result<()> {
     let i_start = Instant::now();
     let t_inter = interpolate_nearest_1d(&t, 20)?;
     let i_duration = i_start.elapsed();
-    println!("Time elapsed in interpolate_nearest_1d is: {:?}", i_duration);
-    println!("t_inter: {}", t_inter);    
+    println!(
+        "Time elapsed in interpolate_nearest_1d is: {:?}",
+        i_duration
+    );
+    println!("t_inter: {}", t_inter);
     // let url = "https://sis-sample-audio.obs.cn-north-1.myhuaweicloud.com/16k16bit.mp3";
     // let client = reqwest::blocking::Client::new();
     // let response = client.get(url).send()?;

tests/test_index_tts2.rs

@@ -1,8 +1,8 @@
 use std::time::Instant;
-use anyhow::Result;
 
 use aha::models::index_tts2::{generate::IndexTTS2Generate, utils::download_index_tts2_need_model};
 use aha_openai_dive::v1::resources::chat::ChatCompletionParameters;
+use anyhow::Result;
 
 #[tokio::test]
 async fn index_tts2_generate() -> Result<()> {
@@ -45,4 +45,4 @@ async fn index_tts2_generate() -> Result<()> {
     let i_duration = i_start.elapsed();
     println!("Time elapsed in generate is: {:?}", i_duration);
     Ok(())
-}
+}

tests/test_qwen3_asr.rs

@@ -9,7 +9,7 @@ fn qwen3_asr_generate() -> Result<()> {
     // RUST_BACKTRACE=1 cargo test -F cuda qwen3_asr_generate -r -- --nocapture
     let save_dir =
         aha::utils::get_default_save_dir().ok_or(anyhow::anyhow!("Failed to get save dir"))?;
-    let model_path = format!("{}/Qwen/Qwen3-ASR-0.6B/", save_dir);  //Qwen/Qwen3-ASR-1.7B
+    let model_path = format!("{}/Qwen/Qwen3-ASR-0.6B/", save_dir); //Qwen/Qwen3-ASR-1.7B
     let message = r#"
     {
         "model": "qwen3-asr",

tests/weight_test.rs

@@ -202,8 +202,8 @@ fn qwen3_weight() -> Result<()> {
 fn index_tts2_weight() -> Result<()> {
     let save_dir: String =
         aha::utils::get_default_save_dir().ok_or(anyhow::anyhow!("Failed to get save dir"))?;
-    let model_path = format!("{}/IndexTeam/IndexTTS-2/", save_dir); 
-    let s2mel_path = model_path+ "/s2mel.pth";
+    let model_path = format!("{}/IndexTeam/IndexTTS-2/", save_dir);
+    let s2mel_path = model_path + "/s2mel.pth";
     // let wac2vec2_path = model_path+ "/wav2vec2bert_stats.pt";
     // let model_path = format!("{}/iic/speech_campplus_sv_zh-cn_16k-common/", save_dir);
     // let campplus_path = model_path+ "/campplus_cn_common.bin";
@@ -229,9 +229,9 @@ fn index_tts2_weight() -> Result<()> {
     // let model_list = vec![semantic_codec_path];
     // for m in model_list {
     //     let weights = safetensors::load(m, &device)?;
-    //     for (key, tensor) in weights.iter() {            
+    //     for (key, tensor) in weights.iter() {
     //         println!("=== {} === {:?}", key, tensor.shape());
     //     }
     // }
     Ok(())
-}
+}