






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""": 1_6_3_8_4,
}

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

def _UpperCAmelCase   (	a						:	str ):
							snake_case__	  =       set()
							snake_case__	  =       word[0]
							for char in word[1:]:
														pairs.add((prev_char, char) )
														snake_case__	  =       char
							return pairs



class    _lowerCAmelCase			(		__A      ):



				"""simple docstring"""



				_lowercase				:   Any      =  VOCAB_FILES_NAMES
				_lowercase				:   Any      =  PRETRAINED_VOCAB_FILES_MAP
				_lowercase				:   Tuple      =  PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
				_lowercase				:   Tuple      =  ['''input_ids''', '''attention_mask''']



				def __init__(      self    :    Tuple			,		UpperCamelCase__    :    int			,		UpperCamelCase__    :    str			,		UpperCamelCase__    :    str="replace"			,		UpperCamelCase__    :    int="<s>"			,		UpperCamelCase__    :    Optional[int]="</s>"			,		UpperCamelCase__    :    Optional[int]="</s>"			,		UpperCamelCase__    :    List[Any]="<s>"			,		UpperCamelCase__    :    str="<unk>"			,		UpperCamelCase__    :    Dict="<pad>"			,		UpperCamelCase__    :    Union[str, Any]="<mask>"			,		UpperCamelCase__    :    str=False			,		**UpperCamelCase__    :    int			,		):






											'''simple docstring'''







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

											# Should have added re.IGNORECASE so BPE merges can happen for capitalized versions of contractions
											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 					__magic_name__							(      self    :    Union[str, Any]):






											'''simple docstring'''







											return len(self.encoder)



				def 					__magic_name__							(      self    :    Union[str, Any]):






											'''simple docstring'''







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



				def 					__magic_name__							(      self    :    int			,		UpperCamelCase__    :    str):






											'''simple docstring'''







											if token in self.cache:
																		return self.cache[token]
											snake_case__	  =       tuple(UpperCamelCase__)
											snake_case__	  =       get_pairs(UpperCamelCase__)

											if not pairs:
																		return token

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



				def 					__magic_name__							(      self    :    int			,		UpperCamelCase__    :    Optional[Any]):






											'''simple docstring'''







											snake_case__	  =       []
											for token in re.findall(self.pat			,		UpperCamelCase__):
																		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 					__magic_name__							(      self    :    Union[str, Any]			,		UpperCamelCase__    :    Union[str, Any]):






											'''simple docstring'''







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



				def 					__magic_name__							(      self    :    Dict			,		UpperCamelCase__    :    Optional[int]):






											'''simple docstring'''







											return self.decoder.get(UpperCamelCase__)



				def 					__magic_name__							(      self    :    List[str]			,		UpperCamelCase__    :    List[Any]):






											'''simple docstring'''







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



				def 					__magic_name__							(      self    :    Any			,		UpperCamelCase__    :    str			,		UpperCamelCase__    :    Optional[str] = None):






											'''simple docstring'''







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

											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!""")
																																snake_case__	  =       token_index
																									writer.write(""" """.join(UpperCamelCase__) + """\n""")
																									index += 1

											return vocab_file, merge_file



				def 					__magic_name__							(      self    :    str			,		UpperCamelCase__    :    List[int]			,		UpperCamelCase__    :    Optional[List[int]] = None):






											'''simple docstring'''







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



				def 					__magic_name__							(      self    :    Optional[int]			,		UpperCamelCase__    :    List[int]			,		UpperCamelCase__    :    Optional[List[int]] = None			,		UpperCamelCase__    :    bool = False):






											'''simple docstring'''







											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 					__magic_name__							(      self    :    Any			,		UpperCamelCase__    :    List[int]			,		UpperCamelCase__    :    Optional[List[int]] = None):






											'''simple docstring'''







											snake_case__	  =       [self.sep_token_id]
											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 					__magic_name__							(      self    :    Optional[int]			,		UpperCamelCase__    :    Optional[Any]			,		UpperCamelCase__    :    Optional[int]=False			,		**UpperCamelCase__    :    Optional[Any]):






											'''simple docstring'''







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



				def 					__magic_name__							(      self    :    Any			,		UpperCamelCase__    :    Union[Dict[str, EncodedInput], BatchEncoding]			,		UpperCamelCase__    :    Optional[int] = None			,		UpperCamelCase__    :    PaddingStrategy = PaddingStrategy.DO_NOT_PAD			,		UpperCamelCase__    :    Optional[int] = None			,		UpperCamelCase__    :    Optional[bool] = None			,		):






											'''simple docstring'''







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

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

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

											return encoded_inputs








import math
from collections.abc import Iterator
from itertools import takewhile

def _UpperCAmelCase   (	a						:	int ):

							if 1 < number < 4:
														# 2 and 3 are primes
														return True
							elif number < 2 or number % 2 == 0 or number % 3 == 0:
														# Negatives, 0, 1, all even numbers, all multiples of 3 are not primes
														return False

							# All primes number are in format of 6k +/- 1
							for i in range(5  ,					int(math.sqrt(a ) + 1 )  ,					6 ):
														if number % i == 0 or number % (i + 2) == 0:
																					return False
							return True

def _UpperCAmelCase   (	):
							snake_case__	  =       2
							while True:
														if is_prime(a ):
																					yield num
														num += 1

def _UpperCAmelCase   (	a						:	int = 200_0000 ):
							return sum(takewhile(lambda a : x < n  ,					prime_generator() ) )


if __name__ == "__main__":
	print(F'''{solution() = }''')
