"""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
)
SCREAMING_SNAKE_CASE									=						logging.getLogger(__name__)

if __name__ == "__main__":
						SCREAMING_SNAKE_CASE									=						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=30522, type=int)
						SCREAMING_SNAKE_CASE									=						parser.parse_args()

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

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







from __future__ import annotations

import collections
import pprint
from pathlib import Path


def      __lowerCAmelCase(		__UpperCAmelCase			):






	"""simple docstring"""





	return "".join(sorted(__UpperCAmelCase			)			)


def      __lowerCAmelCase(		__UpperCAmelCase			):






	"""simple docstring"""





	return word_by_signature[signature(__UpperCAmelCase			)]


SCREAMING_SNAKE_CASE									=						Path(__file__).parent.joinpath('words.txt').read_text(encoding='utf-8')
SCREAMING_SNAKE_CASE									=						sorted({word.strip().lower() for word in data.splitlines()})

SCREAMING_SNAKE_CASE									=						collections.defaultdict(list)
for word in word_list:
						word_by_signature[signature(word)].append(word)

if __name__ == "__main__":
						SCREAMING_SNAKE_CASE									=						{word: anagram(word) for word in word_list if len(anagram(word)) > 1}

						with open('anagrams.txt', 'w') as file:
												file.write('all_anagrams = \n ')
												file.write(pprint.pformat(all_anagrams))



