
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								=  logging.get_logger(__name__)


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

# See all LED models at https://huggingface.co/models?filter=LED
__snake_case								=  {
    """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								=  {
    """allenai/led-base-16384""": 1_63_84,
}






@lru_cache()
# Copied from transformers.models.bart.tokenization_bart.bytes_to_unicode
def 							_lowercase							(     )		->		List[str]:
					'''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(UpperCamelCase_		)
															cs.append(2**8 + n		)
															n += 1
					SCREAMING_SNAKE_CASE__													= [chr(UpperCamelCase_		) for n in cs]
					return dict(zip(UpperCamelCase_	,	UpperCamelCase_		)		)






def 							_lowercase							(     UpperCamelCase_		)		->		Optional[int]:
					'''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 						lowercase__  (						_UpperCAmelCase  ):
	A__    :   int				       =VOCAB_FILES_NAMES
	A__    :   Any				       =PRETRAINED_VOCAB_FILES_MAP
	A__    :   Dict				       =PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
	A__    :   int				       =["""input_ids""", """attention_mask"""]
	def __init__(			self							:   Optional[int]       ,   UpperCAmelCase_							:   Optional[int]       ,   UpperCAmelCase_							:   Dict       ,   UpperCAmelCase_							:   Optional[int]="replace"       ,   UpperCAmelCase_							:   str="<s>"       ,   UpperCAmelCase_							:   Union[str, Any]="</s>"       ,   UpperCAmelCase_							:   Tuple="</s>"       ,   UpperCAmelCase_							:   str="<s>"       ,   UpperCAmelCase_							:   List[Any]="<unk>"       ,   UpperCAmelCase_							:   Dict="<pad>"       ,   UpperCAmelCase_							:   Dict="<mask>"       ,   UpperCAmelCase_							:   Union[str, Any]=False       ,   **UpperCAmelCase_							:   Tuple       ,   ):
						SCREAMING_SNAKE_CASE__													= AddedToken(UpperCAmelCase_       ,   lstrip=UpperCAmelCase_       ,   rstrip=UpperCAmelCase_							) if isinstance(UpperCAmelCase_       ,   UpperCAmelCase_							) else bos_token
						SCREAMING_SNAKE_CASE__													= AddedToken(UpperCAmelCase_       ,   lstrip=UpperCAmelCase_       ,   rstrip=UpperCAmelCase_							) if isinstance(UpperCAmelCase_       ,   UpperCAmelCase_							) else eos_token
						SCREAMING_SNAKE_CASE__													= AddedToken(UpperCAmelCase_       ,   lstrip=UpperCAmelCase_       ,   rstrip=UpperCAmelCase_							) if isinstance(UpperCAmelCase_       ,   UpperCAmelCase_							) else sep_token
						SCREAMING_SNAKE_CASE__													= AddedToken(UpperCAmelCase_       ,   lstrip=UpperCAmelCase_       ,   rstrip=UpperCAmelCase_							) if isinstance(UpperCAmelCase_       ,   UpperCAmelCase_							) else cls_token
						SCREAMING_SNAKE_CASE__													= AddedToken(UpperCAmelCase_       ,   lstrip=UpperCAmelCase_       ,   rstrip=UpperCAmelCase_							) if isinstance(UpperCAmelCase_       ,   UpperCAmelCase_							) else unk_token
						SCREAMING_SNAKE_CASE__													= AddedToken(UpperCAmelCase_       ,   lstrip=UpperCAmelCase_       ,   rstrip=UpperCAmelCase_							) if isinstance(UpperCAmelCase_       ,   UpperCAmelCase_							) else pad_token

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

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

						with open(UpperCAmelCase_       ,   encoding='utf-8'							) as vocab_handle:
											SCREAMING_SNAKE_CASE__													= json.load(UpperCAmelCase_							)
						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(UpperCAmelCase_       ,   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(UpperCAmelCase_       ,   range(len(UpperCAmelCase_							)							)							)							)
						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      A_				(			self							:   List[Any]							):
						return len(self.encoder							)
	def      A_				(			self							:   int							):
						return dict(self.encoder       ,   **self.added_tokens_encoder							)
	def      A_				(			self							:   Tuple       ,   UpperCAmelCase_							:   Optional[Any]							):
						if token in self.cache:
											return self.cache[token]
						SCREAMING_SNAKE_CASE__													= tuple(UpperCAmelCase_							)
						SCREAMING_SNAKE_CASE__													= get_pairs(UpperCAmelCase_							)

						if not pairs:
											return token

						while True:
											SCREAMING_SNAKE_CASE__													= min(UpperCAmelCase_       ,   key=lambda UpperCAmelCase_							: self.bpe_ranks.get(UpperCAmelCase_       ,   float('inf'							)							)							)
											if bigram not in self.bpe_ranks:
																break
											SCREAMING_SNAKE_CASE__						, SCREAMING_SNAKE_CASE__													= bigram
											SCREAMING_SNAKE_CASE__													= []
											SCREAMING_SNAKE_CASE__													= 0
											while i < len(UpperCAmelCase_							):
																try:
																					SCREAMING_SNAKE_CASE__													= word.index(UpperCAmelCase_       ,   UpperCAmelCase_							)
																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(UpperCAmelCase_							) - 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(UpperCAmelCase_							)
											SCREAMING_SNAKE_CASE__													= new_word
											if len(UpperCAmelCase_							) == 1:
																break
											else:
																SCREAMING_SNAKE_CASE__													= get_pairs(UpperCAmelCase_							)
						SCREAMING_SNAKE_CASE__													= ' '.join(UpperCAmelCase_							)
						SCREAMING_SNAKE_CASE__													= word
						return word
	def      A_				(			self							:   List[Any]       ,   UpperCAmelCase_							:   str							):
						SCREAMING_SNAKE_CASE__													= []
						for token in re.findall(self.pat       ,   UpperCAmelCase_							):
											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(UpperCAmelCase_							).split(' '							)							)
						return bpe_tokens
	def      A_				(			self							:   Optional[Any]       ,   UpperCAmelCase_							:   List[Any]							):
						return self.encoder.get(UpperCAmelCase_       ,   self.encoder.get(self.unk_token							)							)
	def      A_				(			self							:   List[Any]       ,   UpperCAmelCase_							:   Optional[int]							):
						return self.decoder.get(UpperCAmelCase_							)
	def      A_				(			self							:   Any       ,   UpperCAmelCase_							:   Dict							):
						SCREAMING_SNAKE_CASE__													= ''.join(UpperCAmelCase_							)
						SCREAMING_SNAKE_CASE__													= bytearray([self.byte_decoder[c] for c in text]							).decode('utf-8'       ,   errors=self.errors							)
						return text
	def      A_				(			self							:   Any       ,   UpperCAmelCase_							:   str       ,   UpperCAmelCase_							:   Optional[str] = None							):
						if not os.path.isdir(UpperCAmelCase_							):
											logger.error(F'Vocabulary path ({save_directory}) should be a directory'							)
											return
						SCREAMING_SNAKE_CASE__													= os.path.join(
						    UpperCAmelCase_       ,   (filename_prefix + '-' if filename_prefix else '') + VOCAB_FILES_NAMES['vocab_file']							)
						SCREAMING_SNAKE_CASE__													= os.path.join(
						    UpperCAmelCase_       ,   (filename_prefix + '-' if filename_prefix else '') + VOCAB_FILES_NAMES['merges_file']							)

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

						SCREAMING_SNAKE_CASE__													= 0
						with open(UpperCAmelCase_       ,   '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 UpperCAmelCase_							: 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(UpperCAmelCase_							) + '\n'							)
																index += 1

						return vocab_file, merge_file
	def      A_				(			self							:   Optional[Any]       ,   UpperCAmelCase_							:   List[int]       ,   UpperCAmelCase_							:   Optional[List[int]] = None							):
						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      A_				(			self							:   int       ,   UpperCAmelCase_							:   List[int]       ,   UpperCAmelCase_							:   Optional[List[int]] = None       ,   UpperCAmelCase_							:   bool = False							):
						if already_has_special_tokens:
											return super().get_special_tokens_mask(
											    token_ids_a=UpperCAmelCase_       ,   token_ids_a=UpperCAmelCase_       ,   already_has_special_tokens=UpperCAmelCase_							)

						if token_ids_a is None:
											return [1] + ([0] * len(UpperCAmelCase_							)) + [1]
						return [1] + ([0] * len(UpperCAmelCase_							)) + [1, 1] + ([0] * len(UpperCAmelCase_							)) + [1]
	def      A_				(			self							:   str       ,   UpperCAmelCase_							:   List[int]       ,   UpperCAmelCase_							:   Optional[List[int]] = None							):
						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      A_				(			self							:   Tuple       ,   UpperCAmelCase_							:   Tuple       ,   UpperCAmelCase_							:   Optional[int]=False       ,   **UpperCAmelCase_							:   str							):
						SCREAMING_SNAKE_CASE__													= kwargs.pop('add_prefix_space'       ,   self.add_prefix_space							)
						if (is_split_into_words or add_prefix_space) and (len(UpperCAmelCase_							) > 0 and not text[0].isspace()):
											SCREAMING_SNAKE_CASE__													= ' ' + text
						return (text, kwargs)





	def      A_				(			self							:   Dict       ,   UpperCAmelCase_							:   Union[Dict[str, EncodedInput], BatchEncoding]       ,   UpperCAmelCase_							:   Optional[int] = None       ,   UpperCAmelCase_							:   PaddingStrategy = PaddingStrategy.DO_NOT_PAD       ,   UpperCAmelCase_							:   Optional[int] = None       ,   UpperCAmelCase_							:   Optional[bool] = None       ,   ):
						SCREAMING_SNAKE_CASE__													= super()._pad(
						    encoded_inputs=UpperCAmelCase_       ,   max_length=UpperCAmelCase_       ,   padding_strategy=UpperCAmelCase_       ,   pad_to_multiple_of=UpperCAmelCase_       ,   return_attention_mask=UpperCAmelCase_       ,   )

						# 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(UpperCAmelCase_							)

											if needs_to_be_padded:
																SCREAMING_SNAKE_CASE__													= len(UpperCAmelCase_							) - 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







import os






def 							_lowercase							(     )		->		List[str]:
					'''simple docstring'''


					with open(os.path.dirname(UpperCamelCase_		) + '/p022_names.txt'		) as file:
										SCREAMING_SNAKE_CASE__													= str(file.readlines()[0]		)
										SCREAMING_SNAKE_CASE__													= names.replace('"'	,	''		).split(','		)

					names.sort()

					SCREAMING_SNAKE_CASE__													= 0
					SCREAMING_SNAKE_CASE__													= 0

					for i, name in enumerate(UpperCamelCase_		):
										for letter in name:
															name_score += ord(UpperCamelCase_		) - 64

										total_score += (i + 1) * name_score
										SCREAMING_SNAKE_CASE__													= 0
					return total_score


if __name__ == "__main__":
				print(solution())





