Google Colaboratory : Import Data, stack size exceeded?

Question

I am trying to import data form my folder with this code

from google.colab import files

uploaded = files.upload()

for fn in uploaded.keys():
  print('User uploaded file "{name}" with length {length} bytes'.format(name=fn, length=len(uploaded[fn])))

but it gives me this error :

Traceback (most recent call last) <ipython-input-7-3ff52e25531b> in <module>()
      1 from google.colab import files
      2 
----> 3 uploaded = files.upload()
      4 
      5 #for fn in uploaded.keys():

/usr/local/lib/python3.6/dist-packages/google/colab/files.py in upload()
     70     result = _output.eval_js(
     71         'google.colab._files._uploadFilesContinue("{output_id}")'.format(
---> 72             output_id=output_id))
     73     if result['action'] != 'append':
     74       # JS side uses a generator of promises to process all of the files- some

/usr/local/lib/python3.6/dist-packages/google/colab/output/_js.py in eval_js(script, ignore_result)
     37   if ignore_result:
     38     return
---> 39   return _message.read_reply_from_input(request_id)
     40 
     41 

/usr/local/lib/python3.6/dist-packages/google/colab/_message.py in read_reply_from_input(message_id, timeout_sec)
    104         reply.get('colab_msg_id') == message_id):
    105       if 'error' in reply:
--> 106         raise MessageError(reply['error'])
    107       return reply.get('data', None)
    108
MessageError: RangeError: Maximum call stack size exceeded.

which I did not understand. is the reason the data relatively big (22578685bytes) or is it because of javascript?

Answer 1

My suggestion is to try uploading the file using the file browser instead. (It uses a distinct transport that's much more efficient, particularly for large files.)

Does that correct the problem?

Answer 2

I was using colab in safari on my mac then it gave me this error. Trien uploading from the button above mentioned but did not work.

Simply ran the colab in Google Chrome and it worked smoothly for me.