


'''simple docstring'''



import argparse
import logging
import pickle
from collections import Counter


logging.basicConfig(
    format='%(asctime)s - %(levelname)s - %(name)s - %(message)s', datefmt='%m/%d/%Y %H:%M:%S', level=logging.INFO
)
__A	=logging.getLogger(__name__)

if __name__ == "__main__":
		__A	=argparse.ArgumentParser(
		    description='Token Counts for smoothing the masking probabilities in MLM (cf XLM/word2vec)'
		)
		parser.add_argument(
		    '--data_file', type=str, default='data/dump.bert-base-uncased.pickle', help='The binarized dataset.'
		)
		parser.add_argument(
		    '--token_counts_dump', type=str, default='data/token_counts.bert-base-uncased.pickle', help='The dump file.'
		)
		parser.add_argument('--vocab_size', default=3_05_22, type=int)
		__A	=parser.parse_args()

		logger.info(f"""Loading data from {args.data_file}""")
		with open(args.data_file, 'rb') as fp:
				__A	=pickle.load(fp)

		logger.info('Counting occurrences for MLM.')
		__A	=Counter()
		for tk_ids in data:
				counter.update(tk_ids)
		__A	=[0] * args.vocab_size
		for k, v in counter.items():
				__A	=v

		logger.info(f"""Dump to {args.token_counts_dump}""")
		with open(args.token_counts_dump, 'wb') as handle:
				pickle.dump(counts, handle, protocol=pickle.HIGHEST_PROTOCOL)



'''simple docstring'''



def     _UpperCamelCase      (		UpperCamelCase__					):
			# if the collection is empty, returns empty
			if collection == []:
						return []

			# get some information about the collection
			UpperCAmelCase__  :					List[str]        =     len(UpperCamelCase__					)
			UpperCAmelCase__  :					Union[str, Any]        =     max(UpperCamelCase__					)
			UpperCAmelCase__  :					Optional[Any]        =     min(UpperCamelCase__					)

			# create the counting array
			UpperCAmelCase__  :					Dict        =     coll_max + 1 - coll_min
			UpperCAmelCase__  :					Optional[int]        =     [0] * counting_arr_length

			# count how much a number appears in the collection
			for number in collection:
						counting_arr[number - coll_min] += 1

			# sum each position with it's predecessors. now, counting_arr[i] tells
			# us how many elements <= i has in the collection
			for i in range(1 ,      UpperCamelCase__					):
						UpperCAmelCase__  :					List[str]        =     counting_arr[i] + counting_arr[i - 1]

			# create the output collection
			UpperCAmelCase__  :					Tuple        =     [0] * coll_len

			# place the elements in the output, respecting the original order (stable
			# sort) from end to begin, updating counting_arr
			for i in reversed(range(0 ,      UpperCamelCase__					)					):
						UpperCAmelCase__  :					Any        =     collection[i]
						counting_arr[collection[i] - coll_min] -= 1

			return ordered







def     _UpperCamelCase      (		UpperCamelCase__					):
			return "".join([chr(UpperCamelCase__					) for i in counting_sort([ord(UpperCamelCase__					) for c in string]					)]					)


if __name__ == "__main__":
		# Test string sort
		assert counting_sort_string('thisisthestring') == "eghhiiinrsssttt"

		__A	=input('Enter numbers separated by a comma:\n').strip()
		__A	=[int(item) for item in user_input.split(',')]
		print(counting_sort(unsorted))