

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

import regex as re

from ...tokenization_utils import AddedToken, PreTrainedTokenizer
from ...tokenization_utils_base import BatchEncoding, EncodedInput
from ...utils import PaddingStrategy, logging


_snake_case						: Tuple											=							logging.get_logger(__name__)


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

# See all LED models at https://huggingface.co/models?filter=LED
_snake_case						: Tuple											=							{
    'vocab_file': {
        'allenai/led-base-16384': 'https://huggingface.co/allenai/led-base-16384/resolve/main/vocab.json',
    },
    'merges_file': {
        'allenai/led-base-16384': 'https://huggingface.co/allenai/led-base-16384/resolve/main/merges.txt',
    },
    'tokenizer_file': {
        'allenai/led-base-16384': 'https://huggingface.co/allenai/led-base-16384/resolve/main/tokenizer.json',
    },
}

_snake_case						: Optional[Any]											=							{
    'allenai/led-base-16384': 1_63_84,
}





@lru_cache()
# Copied from transformers.models.bart.tokenization_bart.bytes_to_unicode
def    _A							(						)   -> Dict:



   """simple docstring"""


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





def    _A							(						__snake_case  :Dict  )   -> Optional[Any]:



   """simple docstring"""


   __SCREAMING_SNAKE_CASE       =				set()
   __SCREAMING_SNAKE_CASE       =				word[0]
   for char in word[1:]:
      pairs.add((prev_char, char)  )
      __SCREAMING_SNAKE_CASE       =				char
   return pairs





class __SCREAMING_SNAKE_CASE     (	_UpperCamelCase		):
    SCREAMING_SNAKE_CASE__      =VOCAB_FILES_NAMES
    SCREAMING_SNAKE_CASE__      =PRETRAINED_VOCAB_FILES_MAP
    SCREAMING_SNAKE_CASE__      =PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
    SCREAMING_SNAKE_CASE__      =['''input_ids''', '''attention_mask''']






    def __init__(       self,		_a,		_a,		_a="replace",		_a="<s>",		_a="</s>",		_a="</s>",		_a="<s>",		_a="<unk>",		_a="<pad>",		_a="<mask>",		_a=False,		**_a,		)   ->					Dict:
       __SCREAMING_SNAKE_CASE       =				AddedToken(lowercase__,		lstrip=lowercase__,		rstrip=lowercase__ ) if isinstance(lowercase__,		lowercase__ ) else bos_token
       __SCREAMING_SNAKE_CASE       =				AddedToken(lowercase__,		lstrip=lowercase__,		rstrip=lowercase__ ) if isinstance(lowercase__,		lowercase__ ) else eos_token
       __SCREAMING_SNAKE_CASE       =				AddedToken(lowercase__,		lstrip=lowercase__,		rstrip=lowercase__ ) if isinstance(lowercase__,		lowercase__ ) else sep_token
       __SCREAMING_SNAKE_CASE       =				AddedToken(lowercase__,		lstrip=lowercase__,		rstrip=lowercase__ ) if isinstance(lowercase__,		lowercase__ ) else cls_token
       __SCREAMING_SNAKE_CASE       =				AddedToken(lowercase__,		lstrip=lowercase__,		rstrip=lowercase__ ) if isinstance(lowercase__,		lowercase__ ) else unk_token
       __SCREAMING_SNAKE_CASE       =				AddedToken(lowercase__,		lstrip=lowercase__,		rstrip=lowercase__ ) if isinstance(lowercase__,		lowercase__ ) else pad_token

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

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

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

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






    @property
    # Copied from transformers.models.bart.tokenization_bart.BartTokenizer.vocab_size
    def 						__lowerCAmelCase    (       self )   ->					Any:
       return len(self.encoder )






    def 						__lowerCAmelCase    (       self )   ->					Optional[Any]:
       return dict(self.encoder,		**self.added_tokens_encoder )






    def 						__lowerCAmelCase    (       self,		_a )   ->					Union[str, Any]:
       if token in self.cache:
          return self.cache[token]
       __SCREAMING_SNAKE_CASE       =				tuple(lowercase__ )
       __SCREAMING_SNAKE_CASE       =				get_pairs(lowercase__ )

       if not pairs:
          return token

       while True:
          __SCREAMING_SNAKE_CASE       =				min(lowercase__,		key=lambda _a : self.bpe_ranks.get(lowercase__,		float("inf" ) ) )
          if bigram not in self.bpe_ranks:
             break
          __SCREAMING_SNAKE_CASE       =				bigram
          __SCREAMING_SNAKE_CASE       =				[]
          __SCREAMING_SNAKE_CASE       =				0
          while i < len(lowercase__ ):
             try:
                __SCREAMING_SNAKE_CASE       =				word.index(lowercase__,		lowercase__ )
             except ValueError:
                new_word.extend(word[i:] )
                break
             else:
                new_word.extend(word[i:j] )
                __SCREAMING_SNAKE_CASE       =				j

             if word[i] == first and i < len(lowercase__ ) - 1 and word[i + 1] == second:
                new_word.append(first + second )
                i += 2
             else:
                new_word.append(word[i] )
                i += 1
          __SCREAMING_SNAKE_CASE       =				tuple(lowercase__ )
          __SCREAMING_SNAKE_CASE       =				new_word
          if len(lowercase__ ) == 1:
             break
          else:
             __SCREAMING_SNAKE_CASE       =				get_pairs(lowercase__ )
       __SCREAMING_SNAKE_CASE       =				''' '''.join(lowercase__ )
       __SCREAMING_SNAKE_CASE       =				word
       return word






    def 						__lowerCAmelCase    (       self,		_a )   ->					str:
       __SCREAMING_SNAKE_CASE       =				[]
       for token in re.findall(self.pat,		lowercase__ ):
          __SCREAMING_SNAKE_CASE       =				''''''.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(lowercase__ ).split(" " ) )
       return bpe_tokens






    def 						__lowerCAmelCase    (       self,		_a )   ->					Union[str, Any]:
       return self.encoder.get(lowercase__,		self.encoder.get(self.unk_token ) )






    def 						__lowerCAmelCase    (       self,		_a )   ->					Any:
       return self.decoder.get(lowercase__ )






    def 						__lowerCAmelCase    (       self,		_a )   ->					Dict:
       __SCREAMING_SNAKE_CASE       =				''''''.join(lowercase__ )
       __SCREAMING_SNAKE_CASE       =				bytearray([self.byte_decoder[c] for c in text] ).decode("utf-8",		errors=self.errors )
       return text






    def 						__lowerCAmelCase    (       self,		_a,		_a = None )   ->					Any:
       if not os.path.isdir(lowercase__ ):
          logger.error(f'''Vocabulary path ({save_directory}) should be a directory''' )
          return
       __SCREAMING_SNAKE_CASE       =				os.path.join(
           lowercase__,		(filename_prefix + "-" if filename_prefix else "") + VOCAB_FILES_NAMES["vocab_file"] )
       __SCREAMING_SNAKE_CASE       =				os.path.join(
           lowercase__,		(filename_prefix + "-" if filename_prefix else "") + VOCAB_FILES_NAMES["merges_file"] )

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

       __SCREAMING_SNAKE_CASE       =				0
       with open(lowercase__,		"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 _a : 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!" )
                __SCREAMING_SNAKE_CASE       =				token_index
             writer.write(" ".join(lowercase__ ) + "\n" )
             index += 1

       return vocab_file, merge_file






    def 						__lowerCAmelCase    (       self,		_a,		_a = None )   ->					List[str]:
       if token_ids_a is None:
          return [self.cls_token_id] + token_ids_a + [self.sep_token_id]
       __SCREAMING_SNAKE_CASE       =				[self.cls_token_id]
       __SCREAMING_SNAKE_CASE       =				[self.sep_token_id]
       return cls + token_ids_a + sep + sep + token_ids_a + sep






    def 						__lowerCAmelCase    (       self,		_a,		_a = None,		_a = False )   ->					Any:
       if already_has_special_tokens:
          return super().get_special_tokens_mask(
              token_ids_a=lowercase__,		token_ids_a=lowercase__,		already_has_special_tokens=lowercase__ )

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






    def 						__lowerCAmelCase    (       self,		_a,		_a = None )   ->					Union[str, Any]:
       __SCREAMING_SNAKE_CASE       =				[self.sep_token_id]
       __SCREAMING_SNAKE_CASE       =				[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,		_a,		_a=False,		**_a )   ->					List[str]:
       __SCREAMING_SNAKE_CASE       =				kwargs.pop("add_prefix_space",		self.add_prefix_space )
       if (is_split_into_words or add_prefix_space) and (len(lowercase__ ) > 0 and not text[0].isspace()):
          __SCREAMING_SNAKE_CASE       =				''' ''' + text
       return (text, kwargs)






    def 						__lowerCAmelCase    (       self,		_a,		_a = None,		_a = PaddingStrategy.DO_NOT_PAD,		_a = None,		_a = None,		)   ->					int:
       __SCREAMING_SNAKE_CASE       =				super()._pad(
           encoded_inputs=lowercase__,		max_length=lowercase__,		padding_strategy=lowercase__,		pad_to_multiple_of=lowercase__,		return_attention_mask=lowercase__,		)

       # Load from model defaults
       if return_attention_mask is None:
          __SCREAMING_SNAKE_CASE       =				'''attention_mask''' in self.model_input_names

       if return_attention_mask and "global_attention_mask" in encoded_inputs:
          __SCREAMING_SNAKE_CASE       =				encoded_inputs[self.model_input_names[0]]
          # `global_attention_mask` need to have the same length as other (sequential) inputs.
          __SCREAMING_SNAKE_CASE       =				len(encoded_inputs["global_attention_mask"] ) != len(lowercase__ )

          if needs_to_be_padded:
             __SCREAMING_SNAKE_CASE       =				len(lowercase__ ) - len(encoded_inputs["global_attention_mask"] )

             if self.padding_side == "right":
                # Use `-1` since `0` in `global_attention_mask` means `local attention` instead of `not to attend`
                __SCREAMING_SNAKE_CASE       =				(
                    encoded_inputs['''global_attention_mask'''] + [-1] * difference
                )
             elif self.padding_side == "left":
                __SCREAMING_SNAKE_CASE       =				[-1] * difference + encoded_inputs[
                    '''global_attention_mask'''
                ]
             else:
                raise ValueError("Invalid padding strategy:" + str(self.padding_side ) )

       return encoded_inputs





from ...configuration_utils import PretrainedConfig
from ...utils import logging


lowerCAmelCase       		=    logging.get_logger(__name__)

lowerCAmelCase       		=    {
    """abeja/gpt-neox-japanese-2.7b""": """https://huggingface.co/abeja/gpt-neox-japanese-2.7b/resolve/main/config.json""",
}




class 							lowerCamelCase   (  _UpperCamelCase ):
	_lowerCAmelCase     :		Tuple										=						'''gpt_neox_japanese'''


	def __init__(    self				,     lowercase__=3_2_0_0_0				,     lowercase__=2_5_6_0				,     lowercase__=3_2				,     lowercase__=3_2				,     lowercase__=4				,     lowercase__="gelu"				,     lowercase__=1.0_0				,     lowercase__=1_0_0_0_0				,     lowercase__=2_0_4_8				,     lowercase__=0.0_2				,     lowercase__=1e-5				,     lowercase__=True				,     lowercase__=3_1_9_9_6				,     lowercase__=3_1_9_9_9				,     lowercase__=0.1				,     lowercase__=0.0				,     **lowercase__				,     ):
							super().__init__(bos_token_id=lowercase__				,     eos_token_id=lowercase__				,     **lowercase__)
							__UpperCAmelCase			:							Optional[Any]	    =	vocab_size
							__UpperCAmelCase			:							Dict	    =	max_position_embeddings
							__UpperCAmelCase			:							int	    =	hidden_size
							__UpperCAmelCase			:							List[Any]	    =	num_hidden_layers
							__UpperCAmelCase			:							Union[str, Any]	    =	num_attention_heads
							__UpperCAmelCase			:							Optional[int]	    =	intermediate_multiple_size
							__UpperCAmelCase			:							Any	    =	hidden_act
							__UpperCAmelCase			:							str	    =	rotary_pct
							__UpperCAmelCase			:							Any	    =	rotary_emb_base
							__UpperCAmelCase			:							Dict	    =	initializer_range
							__UpperCAmelCase			:							Tuple	    =	layer_norm_eps
							__UpperCAmelCase			:							Optional[int]	    =	use_cache
							__UpperCAmelCase			:							str	    =	attention_dropout
							__UpperCAmelCase			:							Any	    =	hidden_dropout

