"""simple docstring"""





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


_UpperCamelCase   :						List[Any]      =    logging.get_logger(__name__)


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

# See all LED models at https://huggingface.co/models?filter=LED
_UpperCamelCase   :						Optional[Any]      =    {
    "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",
    },
}

_UpperCamelCase   :						Optional[int]      =    {
    "allenai/led-base-16384": 1_63_84,
}





@lru_cache()
# Copied from transformers.models.bart.tokenization_bart.bytes_to_unicode
def 				a_     (      ):





       '''simple docstring'''

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





def 				a_     (      _lowerCAmelCase  : int     ):





       '''simple docstring'''

       lowercase__			:		Dict       =	set()
       lowercase__			:		Union[str, Any]       =	word[0]
       for char in word[1:]:
              pairs.add((prev_char, char)     )
              lowercase__			:		Optional[Any]       =	char
       return pairs






class      UpperCAmelCase_	(    _a):
      lowerCamelCase__		:    str   =  VOCAB_FILES_NAMES
      lowerCamelCase__		:    List[str]   =  PRETRAINED_VOCAB_FILES_MAP
      lowerCamelCase__		:    int   =  PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
      lowerCamelCase__		:    Union[str, Any]   =  ["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		,			)       ->					Any:
             lowercase__			:		Any       =	AddedToken(a		,			lstrip=a		,			rstrip=a							) if isinstance(a		,			a							) else bos_token
             lowercase__			:		List[str]       =	AddedToken(a		,			lstrip=a		,			rstrip=a							) if isinstance(a		,			a							) else eos_token
             lowercase__			:		List[str]       =	AddedToken(a		,			lstrip=a		,			rstrip=a							) if isinstance(a		,			a							) else sep_token
             lowercase__			:		Dict       =	AddedToken(a		,			lstrip=a		,			rstrip=a							) if isinstance(a		,			a							) else cls_token
             lowercase__			:		Any       =	AddedToken(a		,			lstrip=a		,			rstrip=a							) if isinstance(a		,			a							) else unk_token
             lowercase__			:		Tuple       =	AddedToken(a		,			lstrip=a		,			rstrip=a							) if isinstance(a		,			a							) else pad_token

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

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

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

             # Should have added re.IGNORECASE so BPE merges can happen for capitalized versions of contractions
             lowercase__			:		List[Any]       =	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 		_UpperCAmelCase       (   self							)       ->					List[Any]:
             return len(self.encoder							)


      def 		_UpperCAmelCase       (   self							)       ->					str:
             return dict(self.encoder		,			**self.added_tokens_encoder							)


      def 		_UpperCAmelCase       (   self		,			a							)       ->					List[str]:
             if token in self.cache:
                    return self.cache[token]
             lowercase__			:		Optional[Any]       =	tuple(a							)
             lowercase__			:		int       =	get_pairs(a							)

             if not pairs:
                    return token

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

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


      def 		_UpperCAmelCase       (   self		,			a							)       ->					Union[str, Any]:
             lowercase__			:		Tuple       =	[]
             for token in re.findall(self.pat		,			a							):
                    lowercase__			:		Union[str, 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(a							).split(' '							)							)
             return bpe_tokens


      def 		_UpperCAmelCase       (   self		,			a							)       ->					Optional[Any]:
             return self.encoder.get(a		,			self.encoder.get(self.unk_token							)							)


      def 		_UpperCAmelCase       (   self		,			a							)       ->					Optional[int]:
             return self.decoder.get(a							)


      def 		_UpperCAmelCase       (   self		,			a							)       ->					str:
             lowercase__			:		Any       =	''.join(a							)
             lowercase__			:		Dict       =	bytearray([self.byte_decoder[c] for c in text]							).decode('utf-8'		,			errors=self.errors							)
             return text


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

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

             lowercase__			:		List[Any]       =	0
             with open(a		,			'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!'							)
                                  lowercase__			:		Union[str, Any]       =	token_index
                           writer.write(' '.join(a							) + '\n'							)
                           index += 1

             return vocab_file, merge_file


      def 		_UpperCAmelCase       (   self		,			a		,			a = None							)       ->					List[int]:
             if token_ids_a is None:
                    return [self.cls_token_id] + token_ids_a + [self.sep_token_id]
             lowercase__			:		Union[str, Any]       =	[self.cls_token_id]
             lowercase__			:		Tuple       =	[self.sep_token_id]
             return cls + token_ids_a + sep + sep + token_ids_a + sep


      def 		_UpperCAmelCase       (   self		,			a		,			a = None		,			a = False							)       ->					List[int]:
             if already_has_special_tokens:
                    return super().get_special_tokens_mask(
                        token_ids_a=a		,			token_ids_a=a		,			already_has_special_tokens=a							)

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


      def 		_UpperCAmelCase       (   self		,			a		,			a = None							)       ->					List[int]:
             lowercase__			:		Dict       =	[self.sep_token_id]
             lowercase__			:		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 		_UpperCAmelCase       (   self		,			a		,			a=False		,			**a							)       ->					Optional[int]:
             lowercase__			:		Tuple       =	kwargs.pop('add_prefix_space'		,			self.add_prefix_space							)
             if (is_split_into_words or add_prefix_space) and (len(a							) > 0 and not text[0].isspace()):
                    lowercase__			:		List[str]       =	' ' + text
             return (text, kwargs)


      def 		_UpperCAmelCase       (   self		,			a		,			a = None		,			a = PaddingStrategy.DO_NOT_PAD		,			a = None		,			a = None		,			)       ->					dict:
             lowercase__			:		Dict       =	super()._pad(
                 encoded_inputs=a		,			max_length=a		,			padding_strategy=a		,			pad_to_multiple_of=a		,			return_attention_mask=a		,			)

             # Load from model defaults
             if return_attention_mask is None:
                    lowercase__			:		Union[str, Any]       =	'attention_mask' in self.model_input_names

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

                    if needs_to_be_padded:
                           lowercase__			:		str       =	len(a							) - 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`
                                  lowercase__			:		Union[str, Any]       =	(
                                      encoded_inputs['global_attention_mask'] + [-1] * difference
                                  )
                           elif self.padding_side == "left":
                                  lowercase__			:		List[str]       =	[-1] * difference + encoded_inputs[
                                      'global_attention_mask'
                                  ]
                           else:
                                  raise ValueError('Invalid padding strategy:' + str(self.padding_side							)							)

             return encoded_inputs



from typing import TYPE_CHECKING

from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_tokenizers_available, is_torch_available


__lowerCamelCase							=       {
    """configuration_biogpt""": ["""BIOGPT_PRETRAINED_CONFIG_ARCHIVE_MAP""", """BioGptConfig"""],
    """tokenization_biogpt""": ["""BioGptTokenizer"""],
}

try:
   if not is_torch_available():
      raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
   pass
else:
   __lowerCamelCase							=       [
       """BIOGPT_PRETRAINED_MODEL_ARCHIVE_LIST""",
       """BioGptForCausalLM""",
       """BioGptForTokenClassification""",
       """BioGptForSequenceClassification""",
       """BioGptModel""",
       """BioGptPreTrainedModel""",
   ]


if TYPE_CHECKING:
   from .configuration_biogpt import BIOGPT_PRETRAINED_CONFIG_ARCHIVE_MAP, BioGptConfig
   from .tokenization_biogpt import BioGptTokenizer

   try:
      if not is_torch_available():
         raise OptionalDependencyNotAvailable()
   except OptionalDependencyNotAvailable:
      pass
   else:
      from .modeling_biogpt import (
          BIOGPT_PRETRAINED_MODEL_ARCHIVE_LIST,
          BioGptForCausalLM,
          BioGptForSequenceClassification,
          BioGptForTokenClassification,
          BioGptModel,
          BioGptPreTrainedModel,
      )


else:
   import sys

   __lowerCamelCase							=       _LazyModule(__name__, globals()["""__file__"""], _import_structure, module_spec=__spec__)





