debugging in colab is pure cock and ball torture because sometimes the files don't actually update when edited, and sometimes they update after I restart the runtime, notebook can't use venv because I can't source it in a subprocess shell call

notebook.ipynb

@@ -37,9 +37,9 @@
          "source":[
             "!git clone https://git.ecker.tech/mrq/ai-voice-cloning/\n",
             "%cd ai-voice-cloning\n",
-            "!apt install python3.8-venv\n",
-            "!python -m venv venv\n",
-            "!source ./venv/bin/activate\n",
+            "#!apt install python3.8-venv\n",
+            "#!python -m venv venv\n",
+            "#!source ./venv/bin/activate\n",
             "!git clone https://git.ecker.tech/mrq/DL-Art-School dlas\n",
             "!python -m pip install --upgrade pip\n",
             "!pip install torch torchvision torchaudio --extra-index-url https://download.pytorch.org/whl/cu116\n",
@@ -114,7 +114,7 @@
          "cell_type":"code",
          "source":[
             "%cd /content/ai-voice-cloning\n",
-            "!source ./venv/bin/activate\n",
+            "#!source ./venv/bin/activate\n",
             "\n",
             "import os\n",
             "import sys\n",

src/utils.py

@@ -450,14 +450,14 @@ def run_training(config_path):
 	buffer=[]
 	for line in iter(training_process.stdout.readline, ""):
 		buffer.append(line)
-		print(line)
+		print(line[:-1])
 		yield "".join(buffer)
 
 	training_process.stdout.close()
 	return_code = training_process.wait()
 	training_process = None
-	if return_code:
-		raise subprocess.CalledProcessError(return_code, cmd)
+	#if return_code:
+	#	raise subprocess.CalledProcessError(return_code, cmd)
 
 
 def stop_training():