Python3.8 serializing error: TypeError: cannot pickle '_io.BufferedReader' object

[brunohnq]

When trying to upload a file using the docs recommendation the script triggers the following error:

Traceback (most recent call last): File "frameio.py", line 26, in <module> client.upload(asset, file) File "/usr/local/lib/python3.8/site-packages/frameioclient/client.py", line 224, in upload uploader.upload() File "/usr/local/lib/python3.8/site-packages/frameioclient/upload.py", line 33, in upload proc.start() File "/usr/local/Cellar/python@3.8/3.8.1/Frameworks/Python.framework/Versions/3.8/lib/python3.8/multiprocessing/process.py", line 121, in start self._popen = self._Popen(self) File "/usr/local/Cellar/python@3.8/3.8.1/Frameworks/Python.framework/Versions/3.8/lib/python3.8/multiprocessing/context.py", line 224, in _Popen return _default_context.get_context().Process._Popen(process_obj) File "/usr/local/Cellar/python@3.8/3.8.1/Frameworks/Python.framework/Versions/3.8/lib/python3.8/multiprocessing/context.py", line 283, in _Popen return Popen(process_obj) File "/usr/local/Cellar/python@3.8/3.8.1/Frameworks/Python.framework/Versions/3.8/lib/python3.8/multiprocessing/popen_spawn_posix.py", line 32, in __init__ super().__init__(process_obj) File "/usr/local/Cellar/python@3.8/3.8.1/Frameworks/Python.framework/Versions/3.8/lib/python3.8/multiprocessing/popen_fork.py", line 19, in __init__ self._launch(process_obj) File "/usr/local/Cellar/python@3.8/3.8.1/Frameworks/Python.framework/Versions/3.8/lib/python3.8/multiprocessing/popen_spawn_posix.py", line 47, in _launch reduction.dump(process_obj, fp) File "/usr/local/Cellar/python@3.8/3.8.1/Frameworks/Python.framework/Versions/3.8/lib/python3.8/multiprocessing/reduction.py", line 60, in dump ForkingPickler(file, protocol).dump(obj) TypeError: cannot pickle '_io.BufferedReader' object

My quick guess would be the multiprocessing library used on the "upload.py" file, I'm not sure that works on py38.

For the record, I've used python3.7 on the same script and worked fine.

[brunohnq]

Update: I just noticed the request #23, that fixed my issue.

[jhodges10]

This is to be fixed in #35!