





from typing import Dict, List, Optional

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


__A									=				logging.get_logger(__name__)


__A									=				{
    "nielsr/canine-s": 2048,
}

# Unicode defines 1,114,112 total “codepoints”
__A									=				111_4112

# Below: Constants defining canonical codepoints for special, pseudo-characters.
# Copied from https://github.com/google-research/language/blob/master/language/canine/special_codepoints.py
__A									=				0

__A									=				0xE000
__A									=				0xE001
__A									=				0xE002
__A									=				0xE003
__A									=				0xE004

# Maps special codepoints to human-readable names.
__A									=				{
    # Special symbols are represented using codepoints values that are valid,
    # but designated as "Private Use", meaning that they will never be assigned
    # characters by the Unicode Consortium, and are thus safe for use here.
    #
    # NOTE: Do *NOT* add any sort of [UNK_CHAR] here. They are explicitly
    # excluded and should fail with a hard error.
    CLS: "[CLS]",
    SEP: "[SEP]",
    BOS: "[BOS]",
    MASK: "[MASK]",
    PAD: "[PAD]",
    RESERVED: "[RESERVED]",
}

# Maps special codepoint human-readable names to their codepoint values.
__A									=				{name: codepoint for codepoint, name in SPECIAL_CODEPOINTS.items()}



class    _SCREAMING_SNAKE_CASE						(	__SCREAMING_SNAKE_CASE    ):







 '''simple docstring'''
 lowercase_		=			PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES

 def __init__(self				:   List[Any]       , UpperCAmelCase_				:   Any=chr(UpperCAmelCase_)       , UpperCAmelCase_				:   List[Any]=chr(UpperCAmelCase_)       , UpperCAmelCase_				:   Any=chr(UpperCAmelCase_)       , UpperCAmelCase_				:   List[Any]=chr(UpperCAmelCase_)       , UpperCAmelCase_				:   List[str]=chr(UpperCAmelCase_)       , UpperCAmelCase_				:   Dict=chr(UpperCAmelCase_)       , UpperCAmelCase_				:   Optional[int]=False       , UpperCAmelCase_				:   Union[str, Any]=2_048       , **UpperCAmelCase_				:   Tuple       , )       ->Tuple:



   '''simple docstring'''



   lowerCamelCase__:      List[Any]			  =AddedToken(UpperCAmelCase_       , lstrip=UpperCAmelCase_       , rstrip=UpperCAmelCase_) if isinstance(UpperCAmelCase_       , UpperCAmelCase_) else bos_token
   lowerCamelCase__:      Tuple			  =AddedToken(UpperCAmelCase_       , lstrip=UpperCAmelCase_       , rstrip=UpperCAmelCase_) if isinstance(UpperCAmelCase_       , UpperCAmelCase_) else eos_token
   lowerCamelCase__:      Tuple			  =AddedToken(UpperCAmelCase_       , lstrip=UpperCAmelCase_       , rstrip=UpperCAmelCase_) if isinstance(UpperCAmelCase_       , UpperCAmelCase_) else sep_token
   lowerCamelCase__:      List[Any]			  =AddedToken(UpperCAmelCase_       , lstrip=UpperCAmelCase_       , rstrip=UpperCAmelCase_) if isinstance(UpperCAmelCase_       , UpperCAmelCase_) else cls_token
   lowerCamelCase__:      Any			  =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
   lowerCamelCase__:      Dict			  =AddedToken(UpperCAmelCase_       , lstrip=UpperCAmelCase_       , rstrip=UpperCAmelCase_) if isinstance(UpperCAmelCase_       , UpperCAmelCase_) else mask_token

   super().__init__(
       bos_token=UpperCAmelCase_       , eos_token=UpperCAmelCase_       , sep_token=UpperCAmelCase_       , cls_token=UpperCAmelCase_       , pad_token=UpperCAmelCase_       , mask_token=UpperCAmelCase_       , add_prefix_space=UpperCAmelCase_       , model_max_length=UpperCAmelCase_       , **UpperCAmelCase_       , )

   # Creates a mapping for looking up the IDs of special symbols.
   lowerCamelCase__:      Dict[str, int]			  ={}
   for codepoint, name in SPECIAL_CODEPOINTS.items():
     lowerCamelCase__:      Any			  =codepoint

   # Creates a mapping for looking up the string forms of special symbol IDs.
   lowerCamelCase__:      Dict[int, str]			  ={
       codepoint: name for name, codepoint in self._special_codepoints.items()
   }

   lowerCamelCase__:      Dict			  =UNICODE_VOCAB_SIZE
   lowerCamelCase__:      Optional[Any]			  =len(self._special_codepoints)

 @property
 def 							SCREAMING_SNAKE_CASE_					(self				:   Optional[int])       ->int:



   '''simple docstring'''



   return self._unicode_vocab_size

 def 							SCREAMING_SNAKE_CASE_					(self				:   Dict       , UpperCAmelCase_				:   str)       ->List[str]:



   '''simple docstring'''



   return list(UpperCAmelCase_)

 def 							SCREAMING_SNAKE_CASE_					(self				:   Optional[Any]       , UpperCAmelCase_				:   str)       ->int:



   '''simple docstring'''



   try:
     return ord(UpperCAmelCase_)
   except TypeError:
     raise ValueError(F"""invalid token: '{token}'""")

 def 							SCREAMING_SNAKE_CASE_					(self				:   Optional[Any]       , UpperCAmelCase_				:   int)       ->str:



   '''simple docstring'''



   try:
     if index in SPECIAL_CODEPOINTS:
       return SPECIAL_CODEPOINTS[index]
     return chr(UpperCAmelCase_)
   except TypeError:
     raise ValueError(F"""invalid id: {index}""")

 def 							SCREAMING_SNAKE_CASE_					(self				:   Tuple       , UpperCAmelCase_				:   List[Any])       ->str:



   '''simple docstring'''



   return "".join(UpperCAmelCase_)

 def 							SCREAMING_SNAKE_CASE_					(self				:   Any       , UpperCAmelCase_				:   List[int]       , UpperCAmelCase_				:   Optional[List[int]] = None)       ->List[int]:



   '''simple docstring'''



   lowerCamelCase__:      Union[str, Any]			  =[self.sep_token_id]
   lowerCamelCase__:      List[Any]			  =[self.cls_token_id]

   lowerCamelCase__:      List[str]			  =cls + token_ids_a + sep
   if token_ids_a is not None:
     result += token_ids_a + sep
   return result

 def 							SCREAMING_SNAKE_CASE_					(self				:   List[Any]       , UpperCAmelCase_				:   List[int]       , UpperCAmelCase_				:   Optional[List[int]] = None       , UpperCAmelCase_				:   bool = 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_)

   lowerCamelCase__:      Any			  =[1] + ([0] * len(UpperCAmelCase_)) + [1]
   if token_ids_a is not None:
     result += ([0] * len(UpperCAmelCase_)) + [1]
   return result

 def 							SCREAMING_SNAKE_CASE_					(self				:   Tuple       , UpperCAmelCase_				:   List[int]       , UpperCAmelCase_				:   Optional[List[int]] = None)       ->List[int]:



   '''simple docstring'''



   lowerCamelCase__:      str			  =[self.sep_token_id]
   lowerCamelCase__:      int			  =[self.cls_token_id]

   lowerCamelCase__:      List[str]			  =len(cls + token_ids_a + sep) * [0]
   if token_ids_a is not None:
     result += len(token_ids_a + sep) * [1]
   return result







 def 							SCREAMING_SNAKE_CASE_					(self				:   str       , UpperCAmelCase_				:   str       , UpperCAmelCase_				:   Optional[str] = None)       ->str:



   '''simple docstring'''



   return ()









"""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_   : Dict   			= logging.getLogger(__name__)

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

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

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


