code stringlengths 3 6.57k |
|---|
len(b) |
len(b_first_half) |
len(b) |
len(b) |
len(b_first_half) |
test() |
main() |
test(got, expected) |
repr(got) |
repr(expected) |
main() |
test() |
main() |
test(verbing('hail') |
test(verbing('swiming') |
test(verbing('do') |
test(not_bad('This movie is not so bad') |
test(not_bad('This dinner is not that bad!') |
test(not_bad('This tea is not hot') |
test(not_bad("It's bad yet not") |
test(front_back('abcd', 'xy') |
test(front_back('abcde', 'xyz') |
test(front_back('Kitten', 'Donut') |
main() |
argparse.ArgumentParser(description='BERT tokenizer') |
parser.parse_args() |
parser.parse_args() |
sorted(glob.glob(os.path.expanduser(args.input_files) |
len(input_files) |
logging.basicConfig(level=logging.INFO) |
logging.info("Number of input files to process = %d"%(num_files) |
TODO(haibin) |
in_pattern(x) |
len(x) |
len(pattern) |
f(input_file) |
io.open(input_file, 'r', encoding="utf-8") |
input_file.endswith('.tokens') |
io.open(input_file.replace('.tokens', '.tks') |
io.open(input_file, 'r', encoding="utf-8") |
fin.readlines() |
len(line) |
fout.write(u'\n') |
in_pattern(line) |
fout.write(line) |
time.time() |
Pool(num_workers) |
p.map(f, input_files) |
time.time() |
logging.info("Processed %s in %.2f sec"%(args.input_files, toc-tic) |
Tile(object) |
__init__(self, image, number, position, coords, filename=None) |
row(self) |
column(self) |
basename(self) |
get_basename(self.filename) |
generate_filename(self, directory=os.getcwd() |
os.path.join(directory, filename) |
save(self, filename=None, format='png') |
self.generate_filename(format=format) |
self.image.save(filename, format) |
__repr__(self) |
os.path.basename(self.filename) |
format(self.number) |
calc_columns_rows(n) |
format (num_columns, num_rows) |
int(ceil(sqrt(n) |
int(ceil(n / float(num_columns) |
return (num_columns, num_rows) |
return (5, 7) |
get_combined_size(tiles) |
calc_columns_rows(len(tiles) |
return (tile_size[0] * columns, tile_size[1] * rows) |
join(tiles) |
Image.new('RGB', get_combined_size(tiles) |
calc_columns_rows(len(tiles) |
im.paste(tile.image, tile.coords) |
validate_image(image, number_tiles) |
int(number_tiles) |
ValueError('number_tiles could not be cast to integer.') |
format(TILE_LIMIT, number_tiles) |
save_tiles(tiles, prefix='', directory=os.getcwd() |
folder(s) |
tiles (list) |
prefix (str) |
directory (str) |
os.path.exists(directory) |
os.makedirs(directory) |
tuple(tiles) |
_do_slice(filename, output, **kwargs) |
filename (str) |
number_tiles (int) |
save (bool) |
Image.open(filename) |
validate_image(im, number_tiles) |
calc_columns_rows(number_tiles) |
int(kwargs.get('columns', 5) |
int(kwargs.get('rows', 7) |
int(floor(im_w / columns) |
int(floor(im_h / rows) |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.