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Update preprocess.py to support Python 3 #30

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Update preprocess.py to support Python 3 #30

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14 changes: 7 additions & 7 deletions scripts/preprocess.py
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Original file line number Diff line number Diff line change
Expand Up @@ -36,18 +36,18 @@
train_size = total_size - val_size - test_size

if not args.quiet:
print 'Total vocabulary size: %d' % len(token_to_idx)
print 'Total tokens in file: %d' % total_size
print ' Training size: %d' % train_size
print ' Val size: %d' % val_size
print ' Test size: %d' % test_size
print('Total vocabulary size: %d' % len(token_to_idx))
print('Total tokens in file: %d' % total_size)
print(' Training size: %d' % train_size)
print(' Val size: %d' % val_size)
print(' Test size: %d' % test_size)

# Choose the datatype based on the vocabulary size
dtype = np.uint8
if len(token_to_idx) > 255:
dtype = np.uint32
if not args.quiet:
print 'Using dtype ', dtype
print('Using dtype ', dtype)

# Just load data into memory ... we'll have to do something more clever
# for huge datasets but this should be fine for now
Expand Down Expand Up @@ -87,7 +87,7 @@
# Dump a JSON file for the vocab
json_data = {
'token_to_idx': token_to_idx,
'idx_to_token': {v: k for k, v in token_to_idx.iteritems()},
'idx_to_token': {v: k for k, v in token_to_idx.items()},
}
with open(args.output_json, 'w') as f:
json.dump(json_data, f)