



import json
from typing import List, Optional, Tuple

from tokenizers import normalizers

from ...tokenization_utils_fast import PreTrainedTokenizerFast
from ...utils import logging
from .tokenization_distilbert import DistilBertTokenizer


__snake_case		:Dict   	=  logging.get_logger(__name__)

__snake_case		:List[Any]   	=  {'''vocab_file''': '''vocab.txt''', '''tokenizer_file''': '''tokenizer.json'''}

__snake_case		:str   	=  {
    '''vocab_file''': {
        '''distilbert-base-uncased''': '''https://huggingface.co/distilbert-base-uncased/resolve/main/vocab.txt''',
        '''distilbert-base-uncased-distilled-squad''': (
            '''https://huggingface.co/distilbert-base-uncased-distilled-squad/resolve/main/vocab.txt'''
        ),
        '''distilbert-base-cased''': '''https://huggingface.co/distilbert-base-cased/resolve/main/vocab.txt''',
        '''distilbert-base-cased-distilled-squad''': (
            '''https://huggingface.co/distilbert-base-cased-distilled-squad/resolve/main/vocab.txt'''
        ),
        '''distilbert-base-german-cased''': '''https://huggingface.co/distilbert-base-german-cased/resolve/main/vocab.txt''',
        '''distilbert-base-multilingual-cased''': (
            '''https://huggingface.co/distilbert-base-multilingual-cased/resolve/main/vocab.txt'''
        ),
    },
    '''tokenizer_file''': {
        '''distilbert-base-uncased''': '''https://huggingface.co/distilbert-base-uncased/resolve/main/tokenizer.json''',
        '''distilbert-base-uncased-distilled-squad''': (
            '''https://huggingface.co/distilbert-base-uncased-distilled-squad/resolve/main/tokenizer.json'''
        ),
        '''distilbert-base-cased''': '''https://huggingface.co/distilbert-base-cased/resolve/main/tokenizer.json''',
        '''distilbert-base-cased-distilled-squad''': (
            '''https://huggingface.co/distilbert-base-cased-distilled-squad/resolve/main/tokenizer.json'''
        ),
        '''distilbert-base-german-cased''': (
            '''https://huggingface.co/distilbert-base-german-cased/resolve/main/tokenizer.json'''
        ),
        '''distilbert-base-multilingual-cased''': (
            '''https://huggingface.co/distilbert-base-multilingual-cased/resolve/main/tokenizer.json'''
        ),
    },
}

__snake_case		:Dict   	=  {
    '''distilbert-base-uncased''': 512,
    '''distilbert-base-uncased-distilled-squad''': 512,
    '''distilbert-base-cased''': 512,
    '''distilbert-base-cased-distilled-squad''': 512,
    '''distilbert-base-german-cased''': 512,
    '''distilbert-base-multilingual-cased''': 512,
}


__snake_case		:Optional[Any]   	=  {
    '''distilbert-base-uncased''': {'''do_lower_case''': True},
    '''distilbert-base-uncased-distilled-squad''': {'''do_lower_case''': True},
    '''distilbert-base-cased''': {'''do_lower_case''': False},
    '''distilbert-base-cased-distilled-squad''': {'''do_lower_case''': False},
    '''distilbert-base-german-cased''': {'''do_lower_case''': False},
    '''distilbert-base-multilingual-cased''': {'''do_lower_case''': False},
}

class 					_A (			lowerCAmelCase__					):
							UpperCamelCase__						:					Optional[int]		      =		VOCAB_FILES_NAMES
							UpperCamelCase__						:					Optional[Any]		      =		PRETRAINED_VOCAB_FILES_MAP
							UpperCamelCase__						:					Optional[Any]		      =		PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
							UpperCamelCase__						:					Dict		      =		PRETRAINED_INIT_CONFIGURATION
							UpperCamelCase__						:					Optional[int]		      =		["input_ids", "attention_mask"]
							UpperCamelCase__						:					Tuple		      =		DistilBertTokenizer



							def __init__(	self							:  Tuple  ,	__SCREAMING_SNAKE_CASE							:  List[Any]=None  ,	__SCREAMING_SNAKE_CASE							:  str=None  ,	__SCREAMING_SNAKE_CASE							:  Tuple=True  ,	__SCREAMING_SNAKE_CASE							:  Optional[Any]="[UNK]"  ,	__SCREAMING_SNAKE_CASE							:  Optional[Any]="[SEP]"  ,	__SCREAMING_SNAKE_CASE							:  Any="[PAD]"  ,	__SCREAMING_SNAKE_CASE							:  int="[CLS]"  ,	__SCREAMING_SNAKE_CASE							:  Any="[MASK]"  ,	__SCREAMING_SNAKE_CASE							:  Union[str, Any]=True  ,	__SCREAMING_SNAKE_CASE							:  int=None  ,	**__SCREAMING_SNAKE_CASE							:  str  ,	):


											'''simple docstring'''

											super().__init__(
											    _lowerCamelCase  ,	tokenizer_file=_lowerCamelCase  ,	do_lower_case=_lowerCamelCase  ,	unk_token=_lowerCamelCase  ,	sep_token=_lowerCamelCase  ,	pad_token=_lowerCamelCase  ,	cls_token=_lowerCamelCase  ,	mask_token=_lowerCamelCase  ,	tokenize_chinese_chars=_lowerCamelCase  ,	strip_accents=_lowerCamelCase  ,	**_lowerCamelCase  ,	)

											__a		 =       json.loads(self.backend_tokenizer.normalizer.__getstate__())
											if (
											    normalizer_state.get('''lowercase'''  ,	_lowerCamelCase) != do_lower_case
											    or normalizer_state.get('''strip_accents'''  ,	_lowerCamelCase) != strip_accents
											    or normalizer_state.get('''handle_chinese_chars'''  ,	_lowerCamelCase) != tokenize_chinese_chars
											):
															__a		 =       getattr(_lowerCamelCase  ,	normalizer_state.pop('''type'''))
															__a		 =       do_lower_case
															__a		 =       strip_accents
															__a		 =       tokenize_chinese_chars
															__a		 =       normalizer_class(**_lowerCamelCase)

											__a		 =       do_lower_case



							def 	_lowerCamelCase    (	self							:  List[str]  ,	__SCREAMING_SNAKE_CASE							:  Any  ,	__SCREAMING_SNAKE_CASE							:  List[Any]=None):


											'''simple docstring'''

											__a		 =       [self.cls_token_id] + token_ids_a + [self.sep_token_id]

											if token_ids_a:
															output += token_ids_a + [self.sep_token_id]

											return output



							def 	_lowerCamelCase    (	self							:  List[str]  ,	__SCREAMING_SNAKE_CASE							:  Any  ,	__SCREAMING_SNAKE_CASE							:  Union[str, Any] = None):


											'''simple docstring'''

											__a		 =       [self.sep_token_id]
											__a		 =       [self.cls_token_id]
											if token_ids_a is None:
															return len(cls + token_ids_a + sep) * [0]
											return len(cls + token_ids_a + sep) * [0] + len(token_ids_a + sep) * [1]





							def 	_lowerCamelCase    (	self							:  str  ,	__SCREAMING_SNAKE_CASE							:  Optional[Any]  ,	__SCREAMING_SNAKE_CASE							:  List[str] = None):


											'''simple docstring'''

											__a		 =       self._tokenizer.model.save(_lowerCamelCase  ,	name=_lowerCamelCase)
											return tuple(_lowerCamelCase)










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
)
__snake_case		:Tuple   	=  logging.getLogger(__name__)

if __name__ == "__main__":
 __snake_case		:Union[str, 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_0522, type=int)
 __snake_case		:List[str]   	=  parser.parse_args()

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

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





