Skipthought.py

[Mansijain850]

I am getting this error. Can anyone help me with this?
` File "/root/anaconda3/lib/python3.5/site-packages/numpy/lib/format.py", line 640, in read_array
array = pickle.load(fp, **pickle_kwargs)
UnicodeDecodeError: 'ascii' codec can't decode byte 0xb2 in position 1: ordinal not in range(128)

During handling of the above exception, another exception occurred:

Traceback (most recent call last):
File "", line 1, in
File "/root/neural-storyteller/skip-thoughts/skipthoughts.py", line 59, in load_model
utable, btable = load_tables()
File "/root/neural-storyteller/skip-thoughts/skipthoughts.py", line 79, in load_tables
utable = numpy.load(path_to_tables + 'utable.npy')
File "/root/anaconda3/lib/python3.5/site-packages/numpy/lib/npyio.py", line 419, in load
pickle_kwargs=pickle_kwargs)
File "/root/anaconda3/lib/python3.5/site-packages/numpy/lib/format.py", line 646, in read_array
"to numpy.load" % (err,))
UnicodeError: Unpickling a python object failed: UnicodeDecodeError('ascii', b'z\xb2J=\xb1W!=\xe9\x9d\x07\xbdg\xfa\x89\xbd\xc2\x0b\xcd\xbd\xbb\xa5\x84\xbc\xb4\xab5=S\xa0\x84<\x82d\x13=\xd8q\xed<\xfd\x02\x92<\xe6E\x14=-}\x08<G\xfa\x9f\xbd\x12\x93\x01;r\x81\x93\xbdhwU\xbdL\x98!\xbd\xca\x89\xdd\xbaN1\x85=@\x04\xbb=VA\xbe\xbd\xfb(\x02>\xa9\x07\x92\xbdJ<\x8f='\xadW<\xea\xf2\xe9<\xe7\x1d\xc9\xbc\x06\x13*\xbd\xf2\x07]=\xf7\x9c==\xa13U=\x13\xc4(\xbd\xf6X\x03\xbcT\x1e\xfc;\xe0\xad\xbf=A*(\xbd\xad\xc7\xa2\xbb\xc8\x0f\x07\xbdKC\x14\xbd\x9f\x01\xd1<+w\xe0=\x0b\x95\x9f=OZ\x00=\xd5\xfa\n<\xb2\x81a\xbd\x1cB\x80=\xb7'\x8a=\x01\x0f\x13\xbb(\xfb\x97=\xc4\x9c'<\xc8x\xb3\xbc8{(\xbd\x82r\x96<\xb5\xf4l\xbd\x03*\xad\xbdl\xda\xf0\xbb\xbd\x91\x9f\xbaK\xc4\xd2=\x8cz\x0e=\xc5\x10\xb1=\xea\x0c\xd7;\xaft\x8d=\xe42\x00\xbe\x06\xa2\x98=\x16\x02r\xbd4\xc7?=\xd6Y?\xbc\xfw\xed<U\t\x9a\xbc\xfb\xd3\xa5<\xda\xce\x98\xba\xe0C8=t\xfa\x04\xbc\xbe\xdf\xf5\xbc\xb7\xbf\x00<\xef\x92\xd5:\xda\x05\x8f\xbd\xc4D\xaa=21\xbb\xbc\x92\x80\x8c=\x04\xef\x8b\xba\x1d!\xf5<\xc1\xcb\xe1\xbc\xca\x17*=\xdd\x16\xfd<SP0\xbd\x88>\xb1\xbd&\xb95<\xfb\x15\xa6\xbc<\x19"\xbcO\x7f\x0e\xbc\x95\xd6.=l\x15\x87<G]\xd0;#}\xc1\xbb5\_\xbb\xc4\x8a\x87=1\xd8\x8f=C\x06\xea;\xbb\xbd\xde=4\xb1\x0f\xbd\xa8\xfc\xd9\xbc&\xcf\xb3=\xe5\x99\x0e\xbdA{\xa1\xbd$[I=\xdc\x0c\xdf<E\x10s=\xd5\xf7\xbc\xcd{\xa7\xbbxDC\xbc\xccL\x199n\xb8P\xbc\x94\x06D=E\x85=\x82\xadZ=L\xea(\xbc0\xc0D\xbd\x82\xcf\x80\xbcH\xa7\x98\xbc\xb2\x81[\xbdX'b=\xebC}\xbd\x1c\xe9Y;', 1, 2, 'ordinal not in range(128)')
You may need to pass the encoding= option to numpy.load`

[cuuupid]

in skipthoughts.py:

    utable = numpy.load(path_to_tables + 'utable.npy', encoding='latin1')
    btable = numpy.load(path_to_tables + 'btable.npy', encoding='latin1')

Adding encoding='latin1' allows it to decode those characters.