





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__   : List[str]					  = logging.getLogger(__name__)

if __name__ == "__main__":
				UpperCamelCase__   : List[Any]					  = 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)
				UpperCamelCase__   : Optional[int]					  = parser.parse_args()

				logger.info(f"Loading data from {args.data_file}")
				with open(args.data_file, """rb""") as fp:
								UpperCamelCase__   : List[Any]					  = pickle.load(fp)

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









import fire

from transformers import AutoConfig, AutoModelForSeqaSeqLM, AutoTokenizer




def    A_(			A				,      A				,      **A   ):
	UpperCAmelCase_								=     AutoConfig.from_pretrained(A				,      **A   )
	UpperCAmelCase_								=     AutoModelForSeqaSeqLM.from_config(A   )
	model.save_pretrained(A   )
	AutoTokenizer.from_pretrained(A   ).save_pretrained(A   )
	return model


if __name__ == "__main__":
				fire.Fire(save_randomly_initialized_version)


