


"""simple docstring"""



import json
import os
from functools import lru_cache
from typing import List, Optional, Tuple

import regex as re

from ...tokenization_utils import AddedToken, PreTrainedTokenizer
from ...utils import logging


__snake_case             =   logging.get_logger(__name__)


__snake_case             =   {"""vocab_file""": """vocab.json""", """merges_file""": """merges.txt"""}

# See all BART models at https://huggingface.co/models?filter=bart
__snake_case             =   {
    """vocab_file""": {
        """facebook/bart-base""": """https://huggingface.co/facebook/bart-base/resolve/main/vocab.json""",
        """facebook/bart-large""": """https://huggingface.co/facebook/bart-large/resolve/main/vocab.json""",
        """facebook/bart-large-mnli""": """https://huggingface.co/facebook/bart-large-mnli/resolve/main/vocab.json""",
        """facebook/bart-large-cnn""": """https://huggingface.co/facebook/bart-large-cnn/resolve/main/vocab.json""",
        """facebook/bart-large-xsum""": """https://huggingface.co/facebook/bart-large-xsum/resolve/main/vocab.json""",
        """yjernite/bart_eli5""": """https://huggingface.co/yjernite/bart_eli5/resolve/main/vocab.json""",
    },
    """merges_file""": {
        """facebook/bart-base""": """https://huggingface.co/facebook/bart-base/resolve/main/merges.txt""",
        """facebook/bart-large""": """https://huggingface.co/facebook/bart-large/resolve/main/merges.txt""",
        """facebook/bart-large-mnli""": """https://huggingface.co/facebook/bart-large-mnli/resolve/main/merges.txt""",
        """facebook/bart-large-cnn""": """https://huggingface.co/facebook/bart-large-cnn/resolve/main/merges.txt""",
        """facebook/bart-large-xsum""": """https://huggingface.co/facebook/bart-large-xsum/resolve/main/merges.txt""",
        """yjernite/bart_eli5""": """https://huggingface.co/yjernite/bart_eli5/resolve/main/merges.txt""",
    },
}

__snake_case             =   {
    """facebook/bart-base""": 1024,
    """facebook/bart-large""": 1024,
    """facebook/bart-large-mnli""": 1024,
    """facebook/bart-large-cnn""": 1024,
    """facebook/bart-large-xsum""": 1024,
    """yjernite/bart_eli5""": 1024,
}







@lru_cache()
def   __lowerCAmelCase						(						)     ->						Dict:


       """simple docstring"""





       snake_case   :				Optional[int]				 =   (
           list(range(ord("!"			)						,							ord("~"			) + 1			)			) + list(range(ord("¡"			)						,							ord("¬"			) + 1			)			) + list(range(ord("®"			)						,							ord("ÿ"			) + 1			)			)
       )
       snake_case   :				Optional[Any]				 =   bs[:]
       snake_case   :				str				 =   0
       for b in range(2**8			):
              if b not in bs:
                     bs.append(lowercase			)
                     cs.append(2**8 + n			)
                     n += 1
       snake_case   :				Any				 =   [chr(lowercase			) for n in cs]
       return dict(zip(lowercase						,							lowercase			)			)







def   __lowerCAmelCase						(						lowercase  :  Union[str, Any]			)     ->						Tuple:


       """simple docstring"""





       snake_case   :				int				 =   set()
       snake_case   :				Optional[int]				 =   word[0]
       for char in word[1:]:
              pairs.add((prev_char, char)			)
              snake_case   :				Dict				 =   char
       return pairs







class _lowerCAmelCase    (				snake_case_     ):
   __UpperCAmelCase			:	Any							  =  VOCAB_FILES_NAMES
   __UpperCAmelCase			:	int							  =  PRETRAINED_VOCAB_FILES_MAP
   __UpperCAmelCase			:	Tuple							  =  PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
   __UpperCAmelCase			:	Any							  =  ['''input_ids''', '''attention_mask''']







   def __init__(     self						,     UpperCamelCase__						,     UpperCamelCase__						,     UpperCamelCase__="replace"						,     UpperCamelCase__="<s>"						,     UpperCamelCase__="</s>"						,     UpperCamelCase__="</s>"						,     UpperCamelCase__="<s>"						,     UpperCamelCase__="<unk>"						,     UpperCamelCase__="<pad>"						,     UpperCamelCase__="<mask>"						,     UpperCamelCase__=False						,     **UpperCamelCase__						,     )     ->		Dict:

          '''simple docstring'''




          snake_case   :				Tuple				 =   AddedToken(UpperCamelCase__						,     lstrip=UpperCamelCase__						,     rstrip=UpperCamelCase__						) if isinstance(UpperCamelCase__						,     UpperCamelCase__						) else bos_token
          snake_case   :				Union[str, Any]				 =   AddedToken(UpperCamelCase__						,     lstrip=UpperCamelCase__						,     rstrip=UpperCamelCase__						) if isinstance(UpperCamelCase__						,     UpperCamelCase__						) else eos_token
          snake_case   :				List[str]				 =   AddedToken(UpperCamelCase__						,     lstrip=UpperCamelCase__						,     rstrip=UpperCamelCase__						) if isinstance(UpperCamelCase__						,     UpperCamelCase__						) else sep_token
          snake_case   :				List[Any]				 =   AddedToken(UpperCamelCase__						,     lstrip=UpperCamelCase__						,     rstrip=UpperCamelCase__						) if isinstance(UpperCamelCase__						,     UpperCamelCase__						) else cls_token
          snake_case   :				Optional[int]				 =   AddedToken(UpperCamelCase__						,     lstrip=UpperCamelCase__						,     rstrip=UpperCamelCase__						) if isinstance(UpperCamelCase__						,     UpperCamelCase__						) else unk_token
          snake_case   :				int				 =   AddedToken(UpperCamelCase__						,     lstrip=UpperCamelCase__						,     rstrip=UpperCamelCase__						) if isinstance(UpperCamelCase__						,     UpperCamelCase__						) else pad_token

          # Mask token behave like a normal word, i.e. include the space before it
          snake_case   :				int				 =   AddedToken(UpperCamelCase__						,     lstrip=UpperCamelCase__						,     rstrip=UpperCamelCase__						) if isinstance(UpperCamelCase__						,     UpperCamelCase__						) else mask_token

          super().__init__(
              errors=UpperCamelCase__						,     bos_token=UpperCamelCase__						,     eos_token=UpperCamelCase__						,     unk_token=UpperCamelCase__						,     sep_token=UpperCamelCase__						,     cls_token=UpperCamelCase__						,     pad_token=UpperCamelCase__						,     mask_token=UpperCamelCase__						,     add_prefix_space=UpperCamelCase__						,     **UpperCamelCase__						,     )

          with open(UpperCamelCase__						,     encoding="utf-8"						) as vocab_handle:
                 snake_case   :				str				 =   json.load(UpperCamelCase__						)
          snake_case   :				int				 =   {v: k for k, v in self.encoder.items()}
          snake_case   :				Optional[Any]				 =   errors  # how to handle errors in decoding
          snake_case   :				List[Any]				 =   bytes_to_unicode()
          snake_case   :				int				 =   {v: k for k, v in self.byte_encoder.items()}
          with open(UpperCamelCase__						,     encoding="utf-8"						) as merges_handle:
                 snake_case   :				int				 =   merges_handle.read().split("\n"						)[1:-1]
          snake_case   :				Tuple				 =   [tuple(merge.split()						) for merge in bpe_merges]
          snake_case   :				Dict				 =   dict(zip(UpperCamelCase__						,     range(len(UpperCamelCase__						)						)						)						)
          snake_case   :				Any				 =   {}
          snake_case   :				Tuple				 =   add_prefix_space

          # Should have added re.IGNORECASE so BPE merges can happen for capitalized versions of contractions
          snake_case   :				Any				 =   re.compile(r"'s|'t|'re|'ve|'m|'ll|'d| ?\p{L}+| ?\p{N}+| ?[^\s\p{L}\p{N}]+|\s+(?!\S)|\s+"						)







   @property
   def 			lowerCamelCase		(     self						)     ->		Union[str, Any]:

          '''simple docstring'''




          return len(self.encoder						)







   def 			lowerCamelCase		(     self						)     ->		List[Any]:

          '''simple docstring'''




          return dict(self.encoder						,     **self.added_tokens_encoder						)







   def 			lowerCamelCase		(     self						,     UpperCamelCase__						)     ->		Dict:

          '''simple docstring'''




          if token in self.cache:
                 return self.cache[token]
          snake_case   :				List[str]				 =   tuple(UpperCamelCase__						)
          snake_case   :				Optional[Any]				 =   get_pairs(UpperCamelCase__						)

          if not pairs:
                 return token

          while True:
                 snake_case   :				List[Any]				 =   min(UpperCamelCase__						,     key=lambda UpperCamelCase__						: self.bpe_ranks.get(UpperCamelCase__						,     float("inf"						)						)						)
                 if bigram not in self.bpe_ranks:
                        break
                 snake_case   :				str				 =   bigram
                 snake_case   :				Tuple				 =   []
                 snake_case   :				Any				 =   0
                 while i < len(UpperCamelCase__						):
                        try:
                               snake_case   :				int				 =   word.index(UpperCamelCase__						,     UpperCamelCase__						)
                        except ValueError:
                               new_word.extend(word[i:]						)
                               break
                        else:
                               new_word.extend(word[i:j]						)
                               snake_case   :				List[str]				 =   j

                        if word[i] == first and i < len(UpperCamelCase__						) - 1 and word[i + 1] == second:
                               new_word.append(first + second						)
                               i += 2
                        else:
                               new_word.append(word[i]						)
                               i += 1
                 snake_case   :				Dict				 =   tuple(UpperCamelCase__						)
                 snake_case   :				Optional[int]				 =   new_word
                 if len(UpperCamelCase__						) == 1:
                        break
                 else:
                        snake_case   :				Optional[int]				 =   get_pairs(UpperCamelCase__						)
          snake_case   :				Dict				 =   " ".join(UpperCamelCase__						)
          snake_case   :				List[str]				 =   word
          return word







   def 			lowerCamelCase		(     self						,     UpperCamelCase__						)     ->		List[Any]:

          '''simple docstring'''




          snake_case   :				List[Any]				 =   []
          for token in re.findall(self.pat						,     UpperCamelCase__						):
                 snake_case   :				Any				 =   "".join(
                     self.byte_encoder[b] for b in token.encode("utf-8"						)						)  # Maps all our bytes to unicode strings, avoiding control tokens of the BPE (spaces in our case)
                 bpe_tokens.extend(bpe_token for bpe_token in self.bpe(UpperCamelCase__						).split(" "						)						)
          return bpe_tokens







   def 			lowerCamelCase		(     self						,     UpperCamelCase__						)     ->		List[str]:

          '''simple docstring'''




          return self.encoder.get(UpperCamelCase__						,     self.encoder.get(self.unk_token						)						)







   def 			lowerCamelCase		(     self						,     UpperCamelCase__						)     ->		Union[str, Any]:

          '''simple docstring'''




          return self.decoder.get(UpperCamelCase__						)







   def 			lowerCamelCase		(     self						,     UpperCamelCase__						)     ->		str:

          '''simple docstring'''




          snake_case   :				int				 =   "".join(UpperCamelCase__						)
          snake_case   :				Optional[int]				 =   bytearray([self.byte_decoder[c] for c in text]						).decode("utf-8"						,     errors=self.errors						)
          return text







   def 			lowerCamelCase		(     self						,     UpperCamelCase__						,     UpperCamelCase__ = None						)     ->		Tuple[str]:

          '''simple docstring'''




          if not os.path.isdir(UpperCamelCase__						):
                 logger.error(F'Vocabulary path ({save_directory}) should be a directory'						)
                 return
          snake_case   :				Any				 =   os.path.join(
              UpperCamelCase__						,     (filename_prefix + "-" if filename_prefix else "") + VOCAB_FILES_NAMES["vocab_file"]						)
          snake_case   :				List[str]				 =   os.path.join(
              UpperCamelCase__						,     (filename_prefix + "-" if filename_prefix else "") + VOCAB_FILES_NAMES["merges_file"]						)

          with open(UpperCamelCase__						,     "w"						,     encoding="utf-8"						) as f:
                 f.write(json.dumps(self.encoder						,     indent=2						,     sort_keys=UpperCamelCase__						,     ensure_ascii=UpperCamelCase__						) + "\n"						)

          snake_case   :				Optional[Any]				 =   0
          with open(UpperCamelCase__						,     "w"						,     encoding="utf-8"						) as writer:
                 writer.write("#version: 0.2\n"						)
                 for bpe_tokens, token_index in sorted(self.bpe_ranks.items()						,     key=lambda UpperCamelCase__						: kv[1]						):
                        if index != token_index:
                               logger.warning(
                                   F'Saving vocabulary to {merge_file}: BPE merge indices are not consecutive.'
                                   " Please check that the tokenizer is not corrupted!"						)
                               snake_case   :				List[Any]				 =   token_index
                        writer.write(" ".join(UpperCamelCase__						) + "\n"						)
                        index += 1

          return vocab_file, merge_file







   def 			lowerCamelCase		(     self						,     UpperCamelCase__						,     UpperCamelCase__ = None						)     ->		List[int]:

          '''simple docstring'''




          if token_ids_a is None:
                 return [self.cls_token_id] + token_ids_a + [self.sep_token_id]
          snake_case   :				str				 =   [self.cls_token_id]
          snake_case   :				Optional[int]				 =   [self.sep_token_id]
          return cls + token_ids_a + sep + sep + token_ids_a + sep







   def 			lowerCamelCase		(     self						,     UpperCamelCase__						,     UpperCamelCase__ = None						,     UpperCamelCase__ = False						)     ->		List[int]:

          '''simple docstring'''




          if already_has_special_tokens:
                 return super().get_special_tokens_mask(
                     token_ids_a=UpperCamelCase__						,     token_ids_a=UpperCamelCase__						,     already_has_special_tokens=UpperCamelCase__						)

          if token_ids_a is None:
                 return [1] + ([0] * len(UpperCamelCase__						)) + [1]
          return [1] + ([0] * len(UpperCamelCase__						)) + [1, 1] + ([0] * len(UpperCamelCase__						)) + [1]







   def 			lowerCamelCase		(     self						,     UpperCamelCase__						,     UpperCamelCase__ = None						)     ->		List[int]:

          '''simple docstring'''




          snake_case   :				Union[str, Any]				 =   [self.sep_token_id]
          snake_case   :				int				 =   [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 + sep + token_ids_a + sep						) * [0]







   def 			lowerCamelCase		(     self						,     UpperCamelCase__						,     UpperCamelCase__=False						,     **UpperCamelCase__						)     ->		List[str]:

          '''simple docstring'''




          snake_case   :				Union[str, Any]				 =   kwargs.pop("add_prefix_space"						,     self.add_prefix_space						)
          if (is_split_into_words or add_prefix_space) and (len(UpperCamelCase__						) > 0 and not text[0].isspace()):
                 snake_case   :				Any				 =   " " + text
          return (text, kwargs)









"""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
)
__snake_case             =   logging.getLogger(__name__)

if __name__ == "__main__":
  __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=30522, type=int)
  __snake_case             =   parser.parse_args()

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

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





