




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


lowerCamelCase	:	List[str]				=   logging.get_logger(__name__)


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

# See all LED models at https://huggingface.co/models?filter=LED
lowerCamelCase	:	Optional[int]				=   {
    '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',
    },
}

lowerCamelCase	:	List[Any]				=   {
    'allenai/led-base-16384': 1_6_3_8_4,
}




@lru_cache()
# Copied from transformers.models.bart.tokenization_bart.bytes_to_unicode
def 						SCREAMING_SNAKE_CASE__ (   )  ->       List[str]:
   snake_case				:    Dict           =	(
       list(range(ord("""!"""					)						,ord("""~"""					) + 1					)					) + list(range(ord("""¡"""					)						,ord("""¬"""					) + 1					)					) + list(range(ord("""®"""					)						,ord("""ÿ"""					) + 1					)					)
   )
   snake_case				:    Union[str, Any]           =	bs[:]
   snake_case				:    str           =	0
   for b in range(2**8					):
      if b not in bs:
         bs.append(lowercase					)
         cs.append(2**8 + n					)
         n += 1
   snake_case				:    Dict           =	[chr(lowercase					) for n in cs]
   return dict(zip(lowercase						,lowercase					)					)




def 						SCREAMING_SNAKE_CASE__ (   lowercase					)  ->       Optional[Any]:
   snake_case				:    Optional[int]           =	set()
   snake_case				:    List[str]           =	word[0]
   for char in word[1:]:
      pairs.add((prev_char, char)					)
      snake_case				:    List[str]           =	char
   return pairs




class 						__lowercase		(UpperCamelCase__							):




      """simple docstring"""





      _snake_case												=						VOCAB_FILES_NAMES
      _snake_case												=						PRETRAINED_VOCAB_FILES_MAP
      _snake_case												=						PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
      _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    ,				)		->    Optional[int]:
         snake_case				:    Optional[int]           =	AddedToken(A    ,				lstrip=A    ,				rstrip=A     ) if isinstance(A    ,				A     ) else bos_token
         snake_case				:    Optional[int]           =	AddedToken(A    ,				lstrip=A    ,				rstrip=A     ) if isinstance(A    ,				A     ) else eos_token
         snake_case				:    int           =	AddedToken(A    ,				lstrip=A    ,				rstrip=A     ) if isinstance(A    ,				A     ) else sep_token
         snake_case				:    Union[str, Any]           =	AddedToken(A    ,				lstrip=A    ,				rstrip=A     ) if isinstance(A    ,				A     ) else cls_token
         snake_case				:    Tuple           =	AddedToken(A    ,				lstrip=A    ,				rstrip=A     ) if isinstance(A    ,				A     ) else unk_token
         snake_case				:    Optional[int]           =	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
         snake_case				:    str           =	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:
            snake_case				:    Optional[int]           =	json.load(A     )
         snake_case				:    List[Any]           =	{v: k for k, v in self.encoder.items()}
         snake_case				:    str           =	errors  # how to handle errors in decoding
         snake_case				:    Tuple           =	bytes_to_unicode()
         snake_case				:    Optional[int]           =	{v: k for k, v in self.byte_encoder.items()}
         with open(A    ,				encoding="""utf-8"""     ) as merges_handle:
            snake_case				:    Dict           =	merges_handle.read().split("""\n"""     )[1:-1]
         snake_case				:    Union[str, Any]           =	[tuple(merge.split()     ) for merge in bpe_merges]
         snake_case				:    Optional[int]           =	dict(zip(A    ,				range(len(A     )     )     )     )
         snake_case				:    Tuple           =	{}
         snake_case				:    Optional[int]           =	add_prefix_space

         # Should have added re.IGNORECASE so BPE merges can happen for capitalized versions of contractions
         snake_case				:    Optional[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     )		->    Dict:
         return len(self.encoder     )

      def      UpperCAmelCase				(				self     )		->    Any:
         return dict(self.encoder    ,				**self.added_tokens_encoder     )

      def      UpperCAmelCase				(				self    ,				A     )		->    str:
         if token in self.cache:
            return self.cache[token]
         snake_case				:    int           =	tuple(A     )
         snake_case				:    Tuple           =	get_pairs(A     )

         if not pairs:
            return token

         while True:
            snake_case				:    Union[str, Any]           =	min(A    ,				key=lambda A     : self.bpe_ranks.get(A    ,				float("""inf"""     )     )     )
            if bigram not in self.bpe_ranks:
               break
            snake_case     , snake_case				:    Tuple           =	bigram
            snake_case				:    List[str]           =	[]
            snake_case				:    Tuple           =	0
            while i < len(A     ):
               try:
                  snake_case				:    Any           =	word.index(A    ,				A     )
               except ValueError:
                  new_word.extend(word[i:]     )
                  break
               else:
                  new_word.extend(word[i:j]     )
                  snake_case				:    List[str]           =	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
            snake_case				:    Tuple           =	tuple(A     )
            snake_case				:    Tuple           =	new_word
            if len(A     ) == 1:
               break
            else:
               snake_case				:    str           =	get_pairs(A     )
         snake_case				:    int           =	""" """.join(A     )
         snake_case				:    List[str]           =	word
         return word

      def      UpperCAmelCase				(				self    ,				A     )		->    List[str]:
         snake_case				:    int           =	[]
         for token in re.findall(self.pat    ,				A     ):
            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(A     ).split(""" """     )     )
         return bpe_tokens

      def      UpperCAmelCase				(				self    ,				A     )		->    List[str]:
         return self.encoder.get(A    ,				self.encoder.get(self.unk_token     )     )

      def      UpperCAmelCase				(				self    ,				A     )		->    List[Any]:
         return self.decoder.get(A     )

      def      UpperCAmelCase				(				self    ,				A     )		->    Optional[Any]:
         snake_case				:    Optional[Any]           =	"""""".join(A     )
         snake_case				:    List[Any]           =	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
         snake_case				:    str           =	os.path.join(
             A    ,				(filename_prefix + """-""" if filename_prefix else """""") + VOCAB_FILES_NAMES["""vocab_file"""]     )
         snake_case				:    Union[str, Any]           =	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"""     )

         snake_case				:    Tuple           =	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!"""     )
                  snake_case				:    int           =	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]
         snake_case				:    Union[str, Any]           =	[self.cls_token_id]
         snake_case				:    str           =	[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]:
         snake_case				:    Optional[Any]           =	[self.sep_token_id]
         snake_case				:    Union[str, 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     )		->    int:
         snake_case				:    str           =	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()):
            snake_case				:    List[Any]           =	""" """ + text
         return (text, kwargs)

      def      UpperCAmelCase				(				self    ,				A    ,				A = None    ,				A = PaddingStrategy.DO_NOT_PAD    ,				A = None    ,				A = None    ,				)		->    dict:
         snake_case				:    Tuple           =	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:
            snake_case				:    List[Any]           =	"""attention_mask""" in self.model_input_names

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

            if needs_to_be_padded:
               snake_case				:    Optional[int]           =	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`
                  snake_case				:    Optional[Any]           =	(
                      encoded_inputs["""global_attention_mask"""] + [-1] * difference
                  )
               elif self.padding_side == "left":
                  snake_case				:    Tuple           =	[-1] * difference + encoded_inputs[
                      """global_attention_mask"""
                  ]
               else:
                  raise ValueError("""Invalid padding strategy:""" + str(self.padding_side     )     )

         return encoded_inputs











from math import pow




def 						SCREAMING_SNAKE_CASE__ (   lowercase						,lowercase						,lowercase						,lowercase						,lowercase						,)  ->       tuple[int, int]:
   if current_sum == needed_sum:
      # If the sum of the powers is equal to needed_sum, then we have a solution.
      solutions_count += 1
      return current_sum, solutions_count

   snake_case				:    Union[str, Any]           =	int(pow(lowercase						,lowercase					)					)
   if current_sum + i_to_n <= needed_sum:
      # If the sum of the powers is less than needed_sum, then continue adding powers.
      current_sum += i_to_n
      snake_case     , snake_case				:    List[Any]           =	backtrack(
          lowercase						,lowercase						,current_number + 1						,lowercase						,lowercase					)
      current_sum -= i_to_n
   if i_to_n < needed_sum:
      # If the power of i is less than needed_sum, then try with the next power.
      snake_case     , snake_case				:    str           =	backtrack(
          lowercase						,lowercase						,current_number + 1						,lowercase						,lowercase					)
   return current_sum, solutions_count




def 						SCREAMING_SNAKE_CASE__ (   lowercase						,lowercase					)  ->       int:
   if not (1 <= needed_sum <= 1000 and 2 <= power <= 10):
      raise ValueError(
          """Invalid input\n"""
          """needed_sum must be between 1 and 1000, power between 2 and 10."""					)

   return backtrack(lowercase						,lowercase						,1						,0						,0					)[1]  # Return the solutions_count


if __name__ == "__main__":
       import doctest

       doctest.testmod()





