I'm burnt out, I can't get multithreaded audio feature extractor to work :(

mtafe_lab/mtafe.py

@@ -0,0 +1,32 @@
+import logging
+logging.basicConfig(format="%(asctime)s/%(levelname)s: [%(module)s] %(message)s", level=logging.INFO)
+
+import multiprocessing
+import multiprocessing.process
+import dataset
+import audiopreprocessing
+from pathlib import Path
+
+def copy_worker(origin_queue, target_queue):
+    p = origin_queue.get()
+    logging.info(f"Processing: {p}")
+    l = audiopreprocessing.load_preprocessed_audio(p, 32000, True)
+    print("Preprocess complete, putting it into queue")
+    target_queue.put(l) # Even on a small scale test, the process will always hang here
+
+if __name__ == "__main__":
+    audio_path_queue = multiprocessing.Queue()
+    audio_queue = multiprocessing.Queue()
+    
+    rand_paths = dataset.random_audio_chunk(1)
+    for p in rand_paths:
+        audio_path_queue.put(p)
+        
+    print("Files queued")
+    
+    processes = [multiprocessing.Process(target=copy_worker, args=(audio_path_queue, audio_queue)) for _ in range(1)]
+    for p in processes: p.start()
+    for p in processes: p.join()
+    
+    print("Joined")
+    #for _ in range(1): print(audio_queue.get())