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_ : Tuple						  =      logging.get_logger(__name__)


lowerCAmelCase_ : Tuple						  =      {"vocab_file": "vocab.json", "merges_file": "merges.txt"}

# See all LED models at https://huggingface.co/models?filter=LED
lowerCAmelCase_ : 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_ : Union[str, Any]						  =      {
    "allenai/led-base-16384": 16_384,
}


@lru_cache()
# Copied from transformers.models.bart.tokenization_bart.bytes_to_unicode
def __a (	)	->							Optional[Any]:
      '''simple docstring'''


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


def __a (	__lowerCamelCase			:						Any				)	->							Any:
      '''simple docstring'''


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






class 							lowercase						(						lowercase__ ):
   lowerCamelCase_    					=VOCAB_FILES_NAMES
   lowerCamelCase_    					=PRETRAINED_VOCAB_FILES_MAP
   lowerCamelCase_    					=PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
   lowerCamelCase_    					=['input_ids', 'attention_mask']


   def __init__(   self				:	str   ,		__lowerCAmelCase				:	Optional[int]   ,		__lowerCAmelCase				:	Dict   ,		__lowerCAmelCase				:	Union[str, Any]="replace"   ,		__lowerCAmelCase				:	Optional[Any]="<s>"   ,		__lowerCAmelCase				:	int="</s>"   ,		__lowerCAmelCase				:	str="</s>"   ,		__lowerCAmelCase				:	List[str]="<s>"   ,		__lowerCAmelCase				:	Optional[int]="<unk>"   ,		__lowerCAmelCase				:	List[str]="<pad>"   ,		__lowerCAmelCase				:	Union[str, Any]="<mask>"   ,		__lowerCAmelCase				:	Tuple=False   ,		**__lowerCAmelCase				:	Optional[Any]   ,		)      ->					int:
         lowercase_     =      AddedToken(__lowerCamelCase   ,		lstrip=__lowerCamelCase   ,		rstrip=__lowerCamelCase) if isinstance(__lowerCamelCase   ,		__lowerCamelCase) else bos_token
         lowercase_     =      AddedToken(__lowerCamelCase   ,		lstrip=__lowerCamelCase   ,		rstrip=__lowerCamelCase) if isinstance(__lowerCamelCase   ,		__lowerCamelCase) else eos_token
         lowercase_     =      AddedToken(__lowerCamelCase   ,		lstrip=__lowerCamelCase   ,		rstrip=__lowerCamelCase) if isinstance(__lowerCamelCase   ,		__lowerCamelCase) else sep_token
         lowercase_     =      AddedToken(__lowerCamelCase   ,		lstrip=__lowerCamelCase   ,		rstrip=__lowerCamelCase) if isinstance(__lowerCamelCase   ,		__lowerCamelCase) else cls_token
         lowercase_     =      AddedToken(__lowerCamelCase   ,		lstrip=__lowerCamelCase   ,		rstrip=__lowerCamelCase) if isinstance(__lowerCamelCase   ,		__lowerCamelCase) else unk_token
         lowercase_     =      AddedToken(__lowerCamelCase   ,		lstrip=__lowerCamelCase   ,		rstrip=__lowerCamelCase) if isinstance(__lowerCamelCase   ,		__lowerCamelCase) else pad_token

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

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

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

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


   def __UpperCAmelCase       (   self				:	Union[str, Any])      ->					str:
         return dict(self.encoder   ,		**self.added_tokens_encoder)


   def __UpperCAmelCase       (   self				:	Tuple   ,		__lowerCAmelCase				:	Dict)      ->					Tuple:



         if token in self.cache:
               return self.cache[token]
         lowercase_     =      tuple(__lowerCamelCase)
         lowercase_     =      get_pairs(__lowerCamelCase)

         if not pairs:
               return token

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


   def __UpperCAmelCase       (   self				:	Tuple   ,		__lowerCAmelCase				:	List[Any])      ->					Any:
         lowercase_     =      []
         for token in re.findall(self.pat   ,		__lowerCamelCase):
               lowercase_     =      "".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 __UpperCAmelCase       (   self				:	Any   ,		__lowerCAmelCase				:	int)      ->					Optional[int]:
         return self.encoder.get(__lowerCamelCase   ,		self.encoder.get(self.unk_token))


   def __UpperCAmelCase       (   self				:	List[Any]   ,		__lowerCAmelCase				:	Union[str, Any])      ->					Any:
         return self.decoder.get(__lowerCamelCase)


   def __UpperCAmelCase       (   self				:	Union[str, Any]   ,		__lowerCAmelCase				:	Tuple)      ->					Dict:
         lowercase_     =      "".join(__lowerCamelCase)
         lowercase_     =      bytearray([self.byte_decoder[c] for c in text]).decode("utf-8"   ,		errors=self.errors)
         return text


   def __UpperCAmelCase       (   self				:	Optional[int]   ,		__lowerCAmelCase				:	str   ,		__lowerCAmelCase				:	Optional[str] = None)      ->					Optional[Any]:



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

         lowercase_     =      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!")
                           lowercase_     =      token_index
                     writer.write(" ".join(__lowerCamelCase) + "\n")
                     index += 1

         return vocab_file, merge_file


   def __UpperCAmelCase       (   self				:	int   ,		__lowerCAmelCase				:	List[int]   ,		__lowerCAmelCase				:	Optional[List[int]] = None)      ->					Optional[Any]:



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


   def __UpperCAmelCase       (   self				:	Tuple   ,		__lowerCAmelCase				:	List[int]   ,		__lowerCAmelCase				:	Optional[List[int]] = None   ,		__lowerCAmelCase				:	bool = False)      ->					Any:



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


   def __UpperCAmelCase       (   self				:	List[Any]   ,		__lowerCAmelCase				:	List[int]   ,		__lowerCAmelCase				:	Optional[List[int]] = None)      ->					Dict:
         lowercase_     =      [self.sep_token_id]
         lowercase_     =      [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				:	List[str]   ,		__lowerCAmelCase				:	int   ,		__lowerCAmelCase				:	Dict=False   ,		**__lowerCAmelCase				:	List[str])      ->					Tuple:
         lowercase_     =      kwargs.pop("add_prefix_space"   ,		self.add_prefix_space)
         if (is_split_into_words or add_prefix_space) and (len(__lowerCamelCase) > 0 and not text[0].isspace()):
               lowercase_     =      " " + text
         return (text, kwargs)


   def __UpperCAmelCase       (   self				:	Dict   ,		__lowerCAmelCase				:	Union[Dict[str, EncodedInput], BatchEncoding]   ,		__lowerCAmelCase				:	Optional[int] = None   ,		__lowerCAmelCase				:	PaddingStrategy = PaddingStrategy.DO_NOT_PAD   ,		__lowerCAmelCase				:	Optional[int] = None   ,		__lowerCAmelCase				:	Optional[bool] = None   ,		)      ->					Any:
         lowercase_     =      super()._pad(
             encoded_inputs=__lowerCamelCase   ,		max_length=__lowerCamelCase   ,		padding_strategy=__lowerCamelCase   ,		pad_to_multiple_of=__lowerCamelCase   ,		return_attention_mask=__lowerCamelCase   ,		)

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

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

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

         return encoded_inputs







'''simple docstring'''

from __future__ import annotations


def __a (	__lowerCamelCase			:						list[list[int]]				)	->							bool:
      '''simple docstring'''


      lowercase_     =      len(__lowerCamelCase				)
      # We need to create solution object to save path.
      lowercase_     =      [[0 for _ in range(__lowerCamelCase				)] for _ in range(__lowerCamelCase				)]
      lowercase_     =      run_maze(__lowerCamelCase ,		0 ,		0 ,		__lowerCamelCase				)
      if solved:
            print("\n".join(str(__lowerCamelCase				) for row in solutions				)				)
      else:
            print("No solution exists!"				)
      return solved


def __a (	__lowerCamelCase			:						list[list[int]] ,		__lowerCamelCase			:						int ,		__lowerCamelCase			:						int ,		__lowerCamelCase			:						list[list[int]]				)	->							bool:
      '''simple docstring'''


      lowercase_     =      len(__lowerCamelCase				)
      # Final check point.
      if i == j == (size - 1):
            lowercase_     =      1
            return True

      lowercase_     =      (not i < 0) and (not j < 0)  # Check lower bounds
      lowercase_     =      (i < size) and (j < size)  # Check upper bounds

      if lower_flag and upper_flag:
            # check for already visited and block points.
            lowercase_     =      (not solutions[i][j]) and (not maze[i][j])
            if block_flag:
                  # check visited
                  lowercase_     =      1

                  # check for directions
                  if (
                      run_maze(__lowerCamelCase ,		i + 1 ,		__lowerCamelCase ,		__lowerCamelCase				)
                      or run_maze(__lowerCamelCase ,		__lowerCamelCase ,		j + 1 ,		__lowerCamelCase				)
                      or run_maze(__lowerCamelCase ,		i - 1 ,		__lowerCamelCase ,		__lowerCamelCase				)
                      or run_maze(__lowerCamelCase ,		__lowerCamelCase ,		j - 1 ,		__lowerCamelCase				)
                  ):
                        return True

                  lowercase_     =      0
                  return False
      return False


if __name__ == "__main__":
       import doctest

       doctest.testmod()






