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

import regex as re

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


if TYPE_CHECKING:
 from transformers.pipelines.conversational import Conversation

UpperCAmelCase							= logging.get_logger(__name__)

UpperCAmelCase							= {
    '''vocab_file''': '''vocab.json''',
    '''merges_file''': '''merges.txt''',
}

UpperCAmelCase							= {
    '''vocab_file''': {
        '''gpt2''': '''https://huggingface.co/gpt2/resolve/main/vocab.json''',
        '''gpt2-medium''': '''https://huggingface.co/gpt2-medium/resolve/main/vocab.json''',
        '''gpt2-large''': '''https://huggingface.co/gpt2-large/resolve/main/vocab.json''',
        '''gpt2-xl''': '''https://huggingface.co/gpt2-xl/resolve/main/vocab.json''',
        '''distilgpt2''': '''https://huggingface.co/distilgpt2/resolve/main/vocab.json''',
    },
    '''merges_file''': {
        '''gpt2''': '''https://huggingface.co/gpt2/resolve/main/merges.txt''',
        '''gpt2-medium''': '''https://huggingface.co/gpt2-medium/resolve/main/merges.txt''',
        '''gpt2-large''': '''https://huggingface.co/gpt2-large/resolve/main/merges.txt''',
        '''gpt2-xl''': '''https://huggingface.co/gpt2-xl/resolve/main/merges.txt''',
        '''distilgpt2''': '''https://huggingface.co/distilgpt2/resolve/main/merges.txt''',
    },
}

UpperCAmelCase							= {
    '''gpt2''': 10_24,
    '''gpt2-medium''': 10_24,
    '''gpt2-large''': 10_24,
    '''gpt2-xl''': 10_24,
    '''distilgpt2''': 10_24,
}


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


def SCREAMING_SNAKE_CASE (   lowercase_:		str ):
       _UpperCamelCase   :				Tuple       =     set()
       _UpperCamelCase   :				Optional[int]       =     word[0]
       for char in word[1:]:
              pairs.add((prev_char, char) )
              _UpperCamelCase   :				str       =     char
       return pairs





class       __lowerCAmelCase     (				a_  ):



 '''simple docstring'''
 _lowerCamelCase  :		Dict 			=       VOCAB_FILES_NAMES
 _lowerCamelCase  :		int 			=       PRETRAINED_VOCAB_FILES_MAP
 _lowerCamelCase  :		Any 			=       PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
 _lowerCamelCase  :		List[Any] 			=       ['input_ids', 'attention_mask']

 def __init__(	self				:						str				,	lowerCamelCase				:						Optional[Any]				,	lowerCamelCase				:						Optional[int]				,	lowerCamelCase				:						Tuple="replace"				,	lowerCamelCase				:						int="<|endoftext|>"				,	lowerCamelCase				:						Union[str, Any]="<|endoftext|>"				,	lowerCamelCase				:						str="<|endoftext|>"				,	lowerCamelCase				:						str=None				,	lowerCamelCase				:						Any=False				,	lowerCamelCase				:						Optional[int]=False				,	**lowerCamelCase				:						Any				,	)       ->							Optional[Any]:
        _UpperCamelCase   :				List[str]       =     AddedToken(lowerCamelCase				,	lstrip=lowerCamelCase				,	rstrip=lowerCamelCase     ) if isinstance(lowerCamelCase				,	lowerCamelCase     ) else bos_token
        _UpperCamelCase   :				int       =     AddedToken(lowerCamelCase				,	lstrip=lowerCamelCase				,	rstrip=lowerCamelCase     ) if isinstance(lowerCamelCase				,	lowerCamelCase     ) else eos_token
        _UpperCamelCase   :				Optional[int]       =     AddedToken(lowerCamelCase				,	lstrip=lowerCamelCase				,	rstrip=lowerCamelCase     ) if isinstance(lowerCamelCase				,	lowerCamelCase     ) else unk_token
        _UpperCamelCase   :				Any       =     AddedToken(lowerCamelCase				,	lstrip=lowerCamelCase				,	rstrip=lowerCamelCase     ) if isinstance(lowerCamelCase				,	lowerCamelCase     ) else pad_token
        super().__init__(
            errors=lowerCamelCase				,	unk_token=lowerCamelCase				,	bos_token=lowerCamelCase				,	eos_token=lowerCamelCase				,	pad_token=lowerCamelCase				,	add_prefix_space=lowerCamelCase				,	add_bos_token=lowerCamelCase				,	**lowerCamelCase				,	)
        _UpperCamelCase   :				int       =     add_bos_token

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

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

 @property
 def     __snake_case    (	self				:						Union[str, Any]     )       ->							int:
        return len(self.encoder     )

 def     __snake_case    (	self				:						Dict     )       ->							Tuple:
        return dict(self.encoder				,	**self.added_tokens_encoder     )

 def     __snake_case    (	self				:						Any				,	lowerCamelCase				:						List[Any]     )       ->							Union[str, Any]:
        if token in self.cache:
               return self.cache[token]
        _UpperCamelCase   :				List[str]       =     tuple(lowerCamelCase     )
        _UpperCamelCase   :				str       =     get_pairs(lowerCamelCase     )

        if not pairs:
               return token

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

                      if word[i] == first and i < len(lowerCamelCase     ) - 1 and word[i + 1] == second:
                             new_word.append(first + second     )
                             i += 2
                      else:
                             new_word.append(word[i]     )
                             i += 1
               _UpperCamelCase   :				str       =     tuple(lowerCamelCase     )
               _UpperCamelCase   :				Union[str, Any]       =     new_word
               if len(lowerCamelCase     ) == 1:
                      break
               else:
                      _UpperCamelCase   :				str       =     get_pairs(lowerCamelCase     )
        _UpperCamelCase   :				Dict       =     ' '.join(lowerCamelCase     )
        _UpperCamelCase   :				List[Any]       =     word
        return word

 def     __snake_case    (	self				:						List[str]				,	lowerCamelCase				:						Tuple				,	lowerCamelCase				:						int=None     )       ->							List[str]:
        if self.add_bos_token:
               _UpperCamelCase   :				List[Any]       =     [self.bos_token_id]
        else:
               _UpperCamelCase   :				List[str]       =     []

        _UpperCamelCase   :				Dict       =     bos_token_ids + token_ids_a

        if token_ids_a is None:
               return output

        return output + bos_token_ids + token_ids_a

 def     __snake_case    (	self				:						Optional[Any]				,	lowerCamelCase				:						List[int]				,	lowerCamelCase				:						Optional[List[int]] = None				,	lowerCamelCase				:						bool = False     )       ->							List[int]:
        if already_has_special_tokens:
               return super().get_special_tokens_mask(
                   token_ids_a=lowerCamelCase				,	token_ids_a=lowerCamelCase				,	already_has_special_tokens=lowerCamelCase     )

        if not self.add_bos_token:
               return super().get_special_tokens_mask(
                   token_ids_a=lowerCamelCase				,	token_ids_a=lowerCamelCase				,	already_has_special_tokens=lowerCamelCase     )

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

 def     __snake_case    (	self				:						Union[str, Any]				,	lowerCamelCase				:						int     )       ->							List[Any]:
        _UpperCamelCase   :				str       =     []
        for token in re.findall(self.pat				,	lowerCamelCase     ):
               _UpperCamelCase   :				Dict       =     ''.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(lowerCamelCase     ).split(' '     )     )
        return bpe_tokens

 def     __snake_case    (	self				:						Any				,	lowerCamelCase				:						List[str]     )       ->							Dict:
        return self.encoder.get(lowerCamelCase				,	self.encoder.get(self.unk_token     )     )

 def     __snake_case    (	self				:						List[str]				,	lowerCamelCase				:						Optional[int]     )       ->							str:
        return self.decoder.get(lowerCamelCase     )

 def     __snake_case    (	self				:						Optional[int]				,	lowerCamelCase				:						Union[str, Any]     )       ->							Union[str, Any]:
        _UpperCamelCase   :				Any       =     ''.join(lowerCamelCase     )
        _UpperCamelCase   :				Dict       =     bytearray([self.byte_decoder[c] for c in text]     ).decode('utf-8'				,	errors=self.errors     )
        return text

 def     __snake_case    (	self				:						Tuple				,	lowerCamelCase				:						str				,	lowerCamelCase				:						Optional[str] = None     )       ->							Tuple[str]:
        if not os.path.isdir(lowerCamelCase     ):
               logger.error(f"Vocabulary path ({save_directory}) should be a directory"     )
               return
        _UpperCamelCase   :				Dict       =     os.path.join(
            lowerCamelCase				,	(filename_prefix + '-' if filename_prefix else '') + VOCAB_FILES_NAMES['vocab_file']     )
        _UpperCamelCase   :				Any       =     os.path.join(
            lowerCamelCase				,	(filename_prefix + '-' if filename_prefix else '') + VOCAB_FILES_NAMES['merges_file']     )

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

        _UpperCamelCase   :				Any       =     0
        with open(lowerCamelCase				,	'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 lowerCamelCase     : 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!'     )
                             _UpperCamelCase   :				Dict       =     token_index
                      writer.write(' '.join(lowerCamelCase     ) + '\n'     )
                      index += 1

        return vocab_file, merge_file

 def     __snake_case    (	self				:						Tuple				,	lowerCamelCase				:						List[str]				,	lowerCamelCase				:						List[str]=False				,	**lowerCamelCase				:						List[Any]     )       ->							Optional[int]:
        _UpperCamelCase   :				Any       =     kwargs.pop('add_prefix_space'				,	self.add_prefix_space     )
        if is_split_into_words or add_prefix_space:
               _UpperCamelCase   :				Dict       =     ' ' + text
        return (text, kwargs)

 def     __snake_case    (	self				:						List[Any]				,	lowerCamelCase				:						"Conversation"     )       ->							List[int]:
        _UpperCamelCase   :				Optional[int]       =     []
        for is_user, text in conversation.iter_texts():
               input_ids.extend(self.encode(lowerCamelCase				,	add_special_tokens=lowerCamelCase     ) + [self.eos_token_id]     )
        if len(lowerCamelCase     ) > self.model_max_length:
               _UpperCamelCase   :				Optional[int]       =     input_ids[-self.model_max_length :]
        return input_ids




from typing import TYPE_CHECKING

from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available


UpperCAmelCase							= {'''configuration_nat''': ['''NAT_PRETRAINED_CONFIG_ARCHIVE_MAP''', '''NatConfig''']}


try:
 if not is_torch_available():
  raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
 pass
else:
 UpperCAmelCase							= [
     '''NAT_PRETRAINED_MODEL_ARCHIVE_LIST''',
     '''NatForImageClassification''',
     '''NatModel''',
     '''NatPreTrainedModel''',
     '''NatBackbone''',
 ]

if TYPE_CHECKING:
 from .configuration_nat import NAT_PRETRAINED_CONFIG_ARCHIVE_MAP, NatConfig

 try:
  if not is_torch_available():
   raise OptionalDependencyNotAvailable()
 except OptionalDependencyNotAvailable:
  pass
 else:
  from .modeling_nat import (
      NAT_PRETRAINED_MODEL_ARCHIVE_LIST,
      NatBackbone,
      NatForImageClassification,
      NatModel,
      NatPreTrainedModel,
  )

else:
 import sys

 UpperCAmelCase							= _LazyModule(__name__, globals()['''__file__'''], _import_structure, module_spec=__spec__)



