


'''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
)
__UpperCAmelCase       							=				logging.getLogger(__name__)

if __name__ == "__main__":
		__UpperCAmelCase       							=				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=30_522, type=int)
		__UpperCAmelCase       							=				parser.parse_args()

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

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






import re


def    _snake_case  (	A			)		->       bool:
							lowerCAmelCase__			  =      re.compile(R'''^(\+91[\-\s]?)?[0]?(91)?[789]\d{9}$'''			)
							if match := re.search(A					,       A			):
														return match.string == phone
							return False


if __name__ == "__main__":
		print(indian_phone_validator('''+918827897895'''))