






import json
from typing import List, Optional, Tuple

from tokenizers import normalizers

from ...tokenization_utils_fast import PreTrainedTokenizerFast
from ...utils import logging
from .tokenization_mobilebert import MobileBertTokenizer


a__       =     logging.get_logger(__name__)

a__       =     {"""vocab_file""": """vocab.txt""", """tokenizer_file""": """tokenizer.json"""}

a__       =     {
    """vocab_file""": {"""mobilebert-uncased""": """https://huggingface.co/google/mobilebert-uncased/resolve/main/vocab.txt"""},
    """tokenizer_file""": {
        """mobilebert-uncased""": """https://huggingface.co/google/mobilebert-uncased/resolve/main/tokenizer.json"""
    },
}

a__       =     {"""mobilebert-uncased""": 5_1_2}


a__       =     {}


class    _lowerCAmelCase			(		lowercase_      ):



				"""simple docstring"""



				_lowercase				:   List[str]      =  VOCAB_FILES_NAMES
				_lowercase				:   Optional[int]      =  PRETRAINED_VOCAB_FILES_MAP
				_lowercase				:   Union[str, Any]      =  PRETRAINED_INIT_CONFIGURATION
				_lowercase				:   Optional[Any]      =  PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
				_lowercase				:   str      =  MobileBertTokenizer



				def __init__(      self    :    Dict			,		UpperCamelCase__    :    int=None			,		UpperCamelCase__    :    str=None			,		UpperCamelCase__    :    int=True			,		UpperCamelCase__    :    str="[UNK]"			,		UpperCamelCase__    :    Tuple="[SEP]"			,		UpperCamelCase__    :    Optional[Any]="[PAD]"			,		UpperCamelCase__    :    int="[CLS]"			,		UpperCamelCase__    :    List[str]="[MASK]"			,		UpperCamelCase__    :    Dict=True			,		UpperCamelCase__    :    Optional[int]=None			,		**UpperCamelCase__    :    Optional[Any]			,		):






											'''simple docstring'''







											super().__init__(
											    UpperCamelCase__			,		tokenizer_file=UpperCamelCase__			,		do_lower_case=UpperCamelCase__			,		unk_token=UpperCamelCase__			,		sep_token=UpperCamelCase__			,		pad_token=UpperCamelCase__			,		cls_token=UpperCamelCase__			,		mask_token=UpperCamelCase__			,		tokenize_chinese_chars=UpperCamelCase__			,		strip_accents=UpperCamelCase__			,		**UpperCamelCase__			,		)

											snake_case__	  =       json.loads(self.backend_tokenizer.normalizer.__getstate__())
											if (
											    normalizer_state.get("""lowercase"""			,		UpperCamelCase__) != do_lower_case
											    or normalizer_state.get("""strip_accents"""			,		UpperCamelCase__) != strip_accents
											    or normalizer_state.get("""handle_chinese_chars"""			,		UpperCamelCase__) != tokenize_chinese_chars
											):
																		snake_case__	  =       getattr(UpperCamelCase__			,		normalizer_state.pop("""type"""))
																		snake_case__	  =       do_lower_case
																		snake_case__	  =       strip_accents
																		snake_case__	  =       tokenize_chinese_chars
																		snake_case__	  =       normalizer_class(**UpperCamelCase__)

											snake_case__	  =       do_lower_case



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






											'''simple docstring'''







											snake_case__	  =       [self.cls_token_id] + token_ids_a + [self.sep_token_id]

											if token_ids_a:
																		output += token_ids_a + [self.sep_token_id]

											return output



				def 					__magic_name__							(      self    :    Tuple			,		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) * [0] + len(token_ids_a + sep) * [1]



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






											'''simple docstring'''







											snake_case__	  =       self._tokenizer.model.save(UpperCamelCase__			,		name=UpperCamelCase__)
											return tuple(UpperCamelCase__)








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() = }''')
