


"""simple docstring"""

from ...configuration_utils import PretrainedConfig
from ...utils import logging


UpperCAmelCase__  							=logging.get_logger(__name__)

UpperCAmelCase__  							={
    "microsoft/markuplm-base": "https://huggingface.co/microsoft/markuplm-base/resolve/main/config.json",
    "microsoft/markuplm-large": "https://huggingface.co/microsoft/markuplm-large/resolve/main/config.json",
}





class    lowerCamelCase__						(		_a    ):
      a :     Any											=		"""markuplm"""
      def __init__(		self	:	Union[str, Any]      ,       A_	:	List[str]=3_0_5_2_2      ,       A_	:	List[str]=7_6_8      ,       A_	:	List[str]=1_2      ,       A_	:	List[str]=1_2      ,       A_	:	Union[str, Any]=3_0_7_2      ,       A_	:	Dict="gelu"      ,       A_	:	List[str]=0.1      ,       A_	:	List[Any]=0.1      ,       A_	:	Any=5_1_2      ,       A_	:	int=2      ,       A_	:	str=0.02      ,       A_	:	str=1e-1_2      ,       A_	:	str=0      ,       A_	:	Optional[int]=0      ,       A_	:	Optional[int]=2      ,       A_	:	str=2_5_6      ,       A_	:	Union[str, Any]=1_0_2_4      ,       A_	:	Tuple=2_1_6      ,       A_	:	Optional[Any]=1_0_0_1      ,       A_	:	Dict=3_2      ,       A_	:	str=5_0      ,       A_	:	List[str]="absolute"      ,       A_	:	List[str]=True      ,       A_	:	Union[str, Any]=None      ,       **A_	:	Dict      ,       ):






       '''simple docstring'''


       super().__init__(
           pad_token_id=A_      ,       bos_token_id=A_      ,       eos_token_id=A_      ,       **A_      ,       )
       __lowercase									=	vocab_size
       __lowercase									=	hidden_size
       __lowercase									=	num_hidden_layers
       __lowercase									=	num_attention_heads
       __lowercase									=	hidden_act
       __lowercase									=	intermediate_size
       __lowercase									=	hidden_dropout_prob
       __lowercase									=	attention_probs_dropout_prob
       __lowercase									=	max_position_embeddings
       __lowercase									=	type_vocab_size
       __lowercase									=	initializer_range
       __lowercase									=	layer_norm_eps
       __lowercase									=	position_embedding_type
       __lowercase									=	use_cache
       __lowercase									=	classifier_dropout
       # additional properties
       __lowercase									=	max_depth
       __lowercase									=	max_xpath_tag_unit_embeddings
       __lowercase									=	max_xpath_subs_unit_embeddings
       __lowercase									=	tag_pad_id
       __lowercase									=	subs_pad_id
       __lowercase									=	xpath_unit_hidden_size




"""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=3_0522, 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)
