





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


lowercase    : Union[str, Any]    	=  logging.get_logger(__name__)


lowercase    : Optional[Any]    	=  {"""vocab_file""": """vocab.json""", """merges_file""": """merges.txt"""}

# See all LED models at https://huggingface.co/models?filter=LED
lowercase    : 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""",
    },
}

lowercase    : Any    	=  {
    """allenai/led-base-16384""": 1_6384,
}


@lru_cache()
# Copied from transformers.models.bart.tokenization_bart.bytes_to_unicode
def     SCREAMING_SNAKE_CASE			(      ):
       _UpperCamelCase           =						(
           list(range(ord('''!'''					)    ,       ord('''~'''					) + 1					)					) + list(range(ord('''¡'''					)    ,       ord('''¬'''					) + 1					)					) + list(range(ord('''®'''					)    ,       ord('''ÿ'''					) + 1					)					)
       )
       _UpperCamelCase           =						bs[:]
       _UpperCamelCase           =						0
       for b in range(2**8					):
              if b not in bs:
                     bs.append(SCREAMING_SNAKE_CASE_					)
                     cs.append(2**8 + n					)
                     n += 1
       _UpperCamelCase           =						[chr(SCREAMING_SNAKE_CASE_					) for n in cs]
       return dict(zip(SCREAMING_SNAKE_CASE_    ,       SCREAMING_SNAKE_CASE_					)					)


def     SCREAMING_SNAKE_CASE			(      lowerCAmelCase					):
       _UpperCamelCase           =						set()
       _UpperCamelCase           =						word[0]
       for char in word[1:]:
              pairs.add((prev_char, char)					)
              _UpperCamelCase           =						char
       return pairs

class  __A(						lowercase__ ):
     __A	  =       VOCAB_FILES_NAMES
     __A	  =       PRETRAINED_VOCAB_FILES_MAP
     __A	  =       PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
     __A	  =       ["""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,       ):





            """simple docstring"""

            _UpperCamelCase           =						AddedToken(__lowercase,       lstrip=__lowercase,       rstrip=__lowercase      ) if isinstance(__lowercase,       __lowercase      ) else bos_token
            _UpperCamelCase           =						AddedToken(__lowercase,       lstrip=__lowercase,       rstrip=__lowercase      ) if isinstance(__lowercase,       __lowercase      ) else eos_token
            _UpperCamelCase           =						AddedToken(__lowercase,       lstrip=__lowercase,       rstrip=__lowercase      ) if isinstance(__lowercase,       __lowercase      ) else sep_token
            _UpperCamelCase           =						AddedToken(__lowercase,       lstrip=__lowercase,       rstrip=__lowercase      ) if isinstance(__lowercase,       __lowercase      ) else cls_token
            _UpperCamelCase           =						AddedToken(__lowercase,       lstrip=__lowercase,       rstrip=__lowercase      ) if isinstance(__lowercase,       __lowercase      ) else unk_token
            _UpperCamelCase           =						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
            _UpperCamelCase           =						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:
                   _UpperCamelCase           =						json.load(__lowercase      )
            _UpperCamelCase           =						{v: k for k, v in self.encoder.items()}
            _UpperCamelCase           =						errors  # how to handle errors in decoding
            _UpperCamelCase           =						bytes_to_unicode()
            _UpperCamelCase           =						{v: k for k, v in self.byte_encoder.items()}
            with open(__lowercase,       encoding='''utf-8'''      ) as merges_handle:
                   _UpperCamelCase           =						merges_handle.read().split('''\n'''      )[1:-1]
            _UpperCamelCase           =						[tuple(merge.split()      ) for merge in bpe_merges]
            _UpperCamelCase           =						dict(zip(__lowercase,       range(len(__lowercase      )      )      )      )
            _UpperCamelCase           =						{}
            _UpperCamelCase           =						add_prefix_space

            # Should have added re.IGNORECASE so BPE merges can happen for capitalized versions of contractions
            _UpperCamelCase           =						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      ):





            """simple docstring"""

            return len(self.encoder      )

     def 	_UpperCamelCase     (      self      ):





            """simple docstring"""

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

     def 	_UpperCamelCase     (      self,       A      ):





            """simple docstring"""

            if token in self.cache:
                   return self.cache[token]
            _UpperCamelCase           =						tuple(__lowercase      )
            _UpperCamelCase           =						get_pairs(__lowercase      )

            if not pairs:
                   return token

            while True:
                   _UpperCamelCase           =						min(__lowercase,       key=lambda A      : self.bpe_ranks.get(__lowercase,       float('''inf'''      )      )      )
                   if bigram not in self.bpe_ranks:
                          break
                   _UpperCamelCase       ,		_UpperCamelCase           =						bigram
                   _UpperCamelCase           =						[]
                   _UpperCamelCase           =						0
                   while i < len(__lowercase      ):
                          try:
                                 _UpperCamelCase           =						word.index(__lowercase,       __lowercase      )
                          except ValueError:
                                 new_word.extend(word[i:]      )
                                 break
                          else:
                                 new_word.extend(word[i:j]      )
                                 _UpperCamelCase           =						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
                   _UpperCamelCase           =						tuple(__lowercase      )
                   _UpperCamelCase           =						new_word
                   if len(__lowercase      ) == 1:
                          break
                   else:
                          _UpperCamelCase           =						get_pairs(__lowercase      )
            _UpperCamelCase           =						''' '''.join(__lowercase      )
            _UpperCamelCase           =						word
            return word

     def 	_UpperCamelCase     (      self,       A      ):





            """simple docstring"""

            _UpperCamelCase           =						[]
            for token in re.findall(self.pat,       __lowercase      ):
                   _UpperCamelCase           =						''''''.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 	_UpperCamelCase     (      self,       A      ):





            """simple docstring"""

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

     def 	_UpperCamelCase     (      self,       A      ):





            """simple docstring"""

            return self.decoder.get(__lowercase      )

     def 	_UpperCamelCase     (      self,       A      ):





            """simple docstring"""

            _UpperCamelCase           =						''''''.join(__lowercase      )
            _UpperCamelCase           =						bytearray([self.byte_decoder[c] for c in text]      ).decode('''utf-8''',       errors=self.errors      )
            return text

     def 	_UpperCamelCase     (      self,       A,       A = None      ):





            """simple docstring"""

            if not os.path.isdir(__lowercase      ):
                   logger.error(F'''Vocabulary path ({save_directory}) should be a directory'''      )
                   return
            _UpperCamelCase           =						os.path.join(
                __lowercase,       (filename_prefix + '''-''' if filename_prefix else '''''') + VOCAB_FILES_NAMES['''vocab_file''']      )
            _UpperCamelCase           =						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'''      )

            _UpperCamelCase           =						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!'''      )
                                 _UpperCamelCase           =						token_index
                          writer.write(''' '''.join(__lowercase      ) + '''\n'''      )
                          index += 1

            return vocab_file, merge_file

     def 	_UpperCamelCase     (      self,       A,       A = None      ):





            """simple docstring"""

            if token_ids_a is None:
                   return [self.cls_token_id] + token_ids_a + [self.sep_token_id]
            _UpperCamelCase           =						[self.cls_token_id]
            _UpperCamelCase           =						[self.sep_token_id]
            return cls + token_ids_a + sep + sep + token_ids_a + sep

     def 	_UpperCamelCase     (      self,       A,       A = None,       A = False      ):





            """simple docstring"""

            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 	_UpperCamelCase     (      self,       A,       A = None      ):





            """simple docstring"""

            _UpperCamelCase           =						[self.sep_token_id]
            _UpperCamelCase           =						[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      ):





            """simple docstring"""

            _UpperCamelCase           =						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()):
                   _UpperCamelCase           =						''' ''' + text
            return (text, kwargs)



     def 	_UpperCamelCase     (      self,       A,       A = None,       A = PaddingStrategy.DO_NOT_PAD,       A = None,       A = None,       ):





            """simple docstring"""

            _UpperCamelCase           =						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:
                   _UpperCamelCase           =						'''attention_mask''' in self.model_input_names

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

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

            return encoded_inputs













from __future__ import annotations

from collections.abc import Iterator

class  __A:

     def __init__(      self,       A      ):





            """simple docstring"""

            _UpperCamelCase              =						value
            _UpperCamelCase              =						None
            _UpperCamelCase              =						None






class  __A:

     def __init__(      self,       A      ):





            """simple docstring"""

            _UpperCamelCase              =						tree

     def 	_UpperCamelCase     (      self,       A      ):





            """simple docstring"""

            if node is None:
                   return 0
            return node.value + (
                self.depth_first_search(node.left      ) + self.depth_first_search(node.right      )
            )



     def __iter__(      self      ):





            """simple docstring"""

            yield self.depth_first_search(self.tree      )


if __name__ == "__main__":
       import doctest

       doctest.testmod()






