
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


__lowerCamelCase				=			logging.get_logger(__name__)


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

# See all BART models at https://huggingface.co/models?filter=bart
__lowerCamelCase				=			{
    """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""",
    },
}

__lowerCamelCase				=			{
    """facebook/bart-base""": 10_24,
    """facebook/bart-large""": 10_24,
    """facebook/bart-large-mnli""": 10_24,
    """facebook/bart-large-cnn""": 10_24,
    """facebook/bart-large-xsum""": 10_24,
    """yjernite/bart_eli5""": 10_24,
}


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


def      UpperCamelCase   (       __lowerCamelCase	:					Optional[int]       ):
       snake_case			:  Optional[Any]     							= set()
       snake_case			:  str     							= word[0]
       for char in word[1:]:
              pairs.add((prev_char, char)       )
              snake_case			:  Tuple     							= char
       return pairs






class     UpperCAmelCase						(		A_					):
   A__   :						Tuple			=	VOCAB_FILES_NAMES
   A__   :						int			=	PRETRAINED_VOCAB_FILES_MAP
   A__   :						Any			=	PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
   A__   :						Union[str, Any]			=	["input_ids", "attention_mask"]



   def __init__(self						:   Dict       ,		snake_case__						:   List[Any]       ,		snake_case__						:   Dict       ,		snake_case__						:   Union[str, Any]="replace"       ,		snake_case__						:   str="<s>"       ,		snake_case__						:   str="</s>"       ,		snake_case__						:   int="</s>"       ,		snake_case__						:   Any="<s>"       ,		snake_case__						:   str="<unk>"       ,		snake_case__						:   List[Any]="<pad>"       ,		snake_case__						:   str="<mask>"       ,		snake_case__						:   Optional[Any]=False       ,		**snake_case__						:   Optional[Any]       ,		)						->      List[str]:


          '''simple docstring'''


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

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

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

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

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



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


          '''simple docstring'''


          return len(self.encoder					)



   def 							_SCREAMING_SNAKE_CASE  (self						:   Optional[Any]					)						->      List[str]:


          '''simple docstring'''


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



   def 							_SCREAMING_SNAKE_CASE  (self						:   List[str]       ,		snake_case__						:   List[Any]					)						->      Optional[int]:


          '''simple docstring'''


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

          if not pairs:
                 return token

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

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



   def 							_SCREAMING_SNAKE_CASE  (self						:   Optional[Any]       ,		snake_case__						:   Dict					)						->      Optional[Any]:


          '''simple docstring'''


          snake_case			:  List[str]     							= []
          for token in re.findall(self.pat       ,		snake_case__					):
                 snake_case			:  List[str]     							= "".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(snake_case__					).split(" "					)					)
          return bpe_tokens



   def 							_SCREAMING_SNAKE_CASE  (self						:   Optional[Any]       ,		snake_case__						:   Any					)						->      List[Any]:


          '''simple docstring'''


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



   def 							_SCREAMING_SNAKE_CASE  (self						:   Optional[int]       ,		snake_case__						:   Optional[int]					)						->      Optional[Any]:


          '''simple docstring'''


          return self.decoder.get(snake_case__					)



   def 							_SCREAMING_SNAKE_CASE  (self						:   Tuple       ,		snake_case__						:   Tuple					)						->      Dict:


          '''simple docstring'''


          snake_case			:  str     							= "".join(snake_case__					)
          snake_case			:  Union[str, Any]     							= bytearray([self.byte_decoder[c] for c in text]					).decode("utf-8"       ,		errors=self.errors					)
          return text



   def 							_SCREAMING_SNAKE_CASE  (self						:   Tuple       ,		snake_case__						:   str       ,		snake_case__						:   Optional[str] = None					)						->      Tuple[str]:


          '''simple docstring'''


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

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

          snake_case			:  List[str]     							= 0
          with open(snake_case__       ,		"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 snake_case__					: 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			:  Optional[Any]     							= token_index
                        writer.write(" ".join(snake_case__					) + "\n"					)
                        index += 1

          return vocab_file, merge_file



   def 							_SCREAMING_SNAKE_CASE  (self						:   List[str]       ,		snake_case__						:   List[int]       ,		snake_case__						:   Optional[List[int]] = 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			:  int     							= [self.cls_token_id]
          snake_case			:  Optional[Any]     							= [self.sep_token_id]
          return cls + token_ids_a + sep + sep + token_ids_a + sep



   def 							_SCREAMING_SNAKE_CASE  (self						:   str       ,		snake_case__						:   List[int]       ,		snake_case__						:   Optional[List[int]] = None       ,		snake_case__						:   bool = False					)						->      List[int]:


          '''simple docstring'''


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

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



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


          '''simple docstring'''


          snake_case			:  Optional[int]     							= [self.sep_token_id]
          snake_case			:  Optional[Any]     							= [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 							_SCREAMING_SNAKE_CASE  (self						:   Dict       ,		snake_case__						:   Any       ,		snake_case__						:   Dict=False       ,		**snake_case__						:   Dict					)						->      Optional[Any]:


          '''simple docstring'''


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







def      UpperCamelCase   (       __lowerCamelCase	:					str = "The quick brown fox jumps over the lazy dog"							,   ):
       snake_case			:  Dict     							= set()

       # Replace all the whitespace in our sentence
       snake_case			:  List[Any]     							= input_str.replace(" "							,   ""       )
       for alpha in input_str:
              if "a" <= alpha.lower() <= "z":
                     frequency.add(alpha.lower()       )
       return len(__lowerCamelCase       ) == 26


def      UpperCamelCase   (       __lowerCamelCase	:					str = "The quick brown fox jumps over the lazy dog"							,   ):
       snake_case			:  Optional[int]     							= [False] * 26
       for char in input_str:
              if char.islower():
                     snake_case			:  Dict     							= True
              elif char.isupper():
                     snake_case			:  Optional[Any]     							= True
       return all(__lowerCamelCase       )


def      UpperCamelCase   (       __lowerCamelCase	:					str = "The quick brown fox jumps over the lazy dog"							,   ):
       return len({char for char in input_str.lower() if char.isalpha()}       ) == 26


def      UpperCamelCase   (       ):
       from timeit import timeit

       snake_case			:  Tuple     							= "from __main__ import is_pangram, is_pangram_faster, is_pangram_fastest"
       print(timeit("is_pangram()"							,   setup=__lowerCamelCase       )       )
       print(timeit("is_pangram_faster()"							,   setup=__lowerCamelCase       )       )
       print(timeit("is_pangram_fastest()"							,   setup=__lowerCamelCase       )       )
       # 5.348480500048026, 2.6477354579837993, 1.8470395830227062
       # 5.036091582966037, 2.644472333951853,  1.8869528750656173


if __name__ == "__main__":
   import doctest

   doctest.testmod()
   benchmark()





