






'''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=3_0_5_2_2, 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    lowercase__			(				__UpperCamelCase   )->			str:
      return "".join(sorted(__UpperCamelCase   )   )







def    lowercase__			(				__UpperCamelCase   )->			list[str]:
      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))
