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

mtafe_lab/test_mp.py

@@ -0,0 +1,30 @@
+import logging
+logging.basicConfig(format="%(asctime)s/%(levelname)s: [%(module)s] %(message)s", level=logging.INFO)
+
+import multiprocessing
+from dataset import random_audio_chunk
+import audiopreprocessing
+from time import sleep
+
+origin_queue = multiprocessing.Queue()
+target_queue = multiprocessing.Queue()
+
+def worker(orig, targ):
+    p = orig.get()
+    #out = "PROCESSED" + str(p.absolute())
+    out = audiopreprocessing.load_preprocessed_audio(p, 16000, True) # This will cause put to hang
+    targ.put(out) # This will hang the process
+
+if __name__ == "__main__":
+    K = 2
+    
+    for p in random_audio_chunk(K):
+        origin_queue.put(p)
+    
+    processes = [multiprocessing.Process(target=worker, args=(origin_queue, target_queue)) for _ in range(K)]
+    for p in processes: p.start()
+    for p in processes: p.join()
+    
+    logging.critical("Successfully terminated all threads")
+    
+    for _ in range(K): print(target_queue.get())