
'''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


__A        =     logging.get_logger(__name__)


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

# See all LED models at https://huggingface.co/models?filter=LED
__A        =     {
    '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',
    },
}

__A        =     {
    'allenai/led-base-16384': 16_384,
}





@lru_cache()
# Copied from transformers.models.bart.tokenization_bart.bytes_to_unicode
def 			_A		(				):
						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(__UpperCAmelCase						)
																		cs.append(2**8 + n						)
																		n += 1
						lowercase__							=							[chr(__UpperCAmelCase						) for n in cs]
						return dict(zip(__UpperCAmelCase		,		__UpperCAmelCase						)						)





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







class       A				(							_SCREAMING_SNAKE_CASE					):
			lowerCamelCase				:				str									=	VOCAB_FILES_NAMES
			lowerCamelCase				:				int									=	PRETRAINED_VOCAB_FILES_MAP
			lowerCamelCase				:				List[Any]									=	PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
			lowerCamelCase				:				List[str]									=	["""input_ids""", """attention_mask"""]



			def __init__(       self							,  lowerCamelCase__							,  lowerCamelCase__							,  lowerCamelCase__="replace"							,  lowerCamelCase__="<s>"							,  lowerCamelCase__="</s>"							,  lowerCamelCase__="</s>"							,  lowerCamelCase__="<s>"							,  lowerCamelCase__="<unk>"							,  lowerCamelCase__="<pad>"							,  lowerCamelCase__="<mask>"							,  lowerCamelCase__=False							,  **lowerCamelCase__							,  )      ->		List[Any]:




									'''simple docstring'''



									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 A__			(       self							)      ->		List[Any]:




									'''simple docstring'''



									return len(self.encoder							)



			def A__			(       self							)      ->		Tuple:




									'''simple docstring'''



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



			def A__			(       self							,  lowerCamelCase__							)      ->		List[Any]:




									'''simple docstring'''



									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__			,    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 A__			(       self							,  lowerCamelCase__							)      ->		Tuple:




									'''simple docstring'''



									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 A__			(       self							,  lowerCamelCase__							)      ->		Optional[Any]:




									'''simple docstring'''



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



			def A__			(       self							,  lowerCamelCase__							)      ->		Dict:




									'''simple docstring'''



									return self.decoder.get(_lowerCAmelCase							)



			def A__			(       self							,  lowerCamelCase__							)      ->		Dict:




									'''simple docstring'''



									lowercase__							=							"""""".join(_lowerCAmelCase							)
									lowercase__							=							bytearray([self.byte_decoder[c] for c in text]							).decode("""utf-8"""							,  errors=self.errors							)
									return text



			def A__			(       self							,  lowerCamelCase__							,  lowerCamelCase__ = None							)      ->		int:




									'''simple docstring'''



									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 A__			(       self							,  lowerCamelCase__							,  lowerCamelCase__ = None							)      ->		List[str]:




									'''simple docstring'''



									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 A__			(       self							,  lowerCamelCase__							,  lowerCamelCase__ = None							,  lowerCamelCase__ = False							)      ->		Any:




									'''simple docstring'''



									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 A__			(       self							,  lowerCamelCase__							,  lowerCamelCase__ = None							)      ->		int:




									'''simple docstring'''



									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 A__			(       self							,  lowerCamelCase__							,  lowerCamelCase__=False							,  **lowerCamelCase__							)      ->		Any:




									'''simple docstring'''



									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 A__			(       self							,  lowerCamelCase__							,  lowerCamelCase__ = None							,  lowerCamelCase__ = PaddingStrategy.DO_NOT_PAD							,  lowerCamelCase__ = None							,  lowerCamelCase__ = None							,  )      ->		Tuple:




									'''simple docstring'''



									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












from __future__ import annotations

from collections.abc import Generator

def    UpperCAmelCase_				( )   ->					Generator[int, None, None]:
      SCREAMING_SNAKE_CASE_      		=     {}
      SCREAMING_SNAKE_CASE_      		=     2
      while True:
            SCREAMING_SNAKE_CASE_      		=     factor_map.pop(__UpperCAmelCase     ,     __UpperCAmelCase				)
            if factor:
                  SCREAMING_SNAKE_CASE_      		=     factor + prime
                  while x in factor_map:
                        x += factor
                  SCREAMING_SNAKE_CASE_      		=     factor
            else:
                  SCREAMING_SNAKE_CASE_      		=     prime
                  yield prime
            prime += 1

def    UpperCAmelCase_				( __UpperCAmelCase		:      float = 1E10				)   ->					int:
      SCREAMING_SNAKE_CASE_      		=     sieve()

      SCREAMING_SNAKE_CASE_      		=     1
      while True:
            SCREAMING_SNAKE_CASE_      		=     next(__UpperCAmelCase				)
            if (2 * prime * n) > limit:
                  return n
            # Ignore the next prime as the reminder will be 2.
            next(__UpperCAmelCase				)
            n += 2


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