


"""simple docstring"""





import json
from typing import List, Optional, Tuple

from tokenizers import normalizers

from ...tokenization_utils_fast import PreTrainedTokenizerFast
from ...utils import logging
from .tokenization_funnel import FunnelTokenizer


__UpperCAmelCase     					=   logging.get_logger(__name__)

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

__UpperCAmelCase     					=   [
    "small",
    "small-base",
    "medium",
    "medium-base",
    "intermediate",
    "intermediate-base",
    "large",
    "large-base",
    "xlarge",
    "xlarge-base",
]

__UpperCAmelCase     					=   {
    "vocab_file": {
        "funnel-transformer/small": "https://huggingface.co/funnel-transformer/small/resolve/main/vocab.txt",
        "funnel-transformer/small-base": "https://huggingface.co/funnel-transformer/small-base/resolve/main/vocab.txt",
        "funnel-transformer/medium": "https://huggingface.co/funnel-transformer/medium/resolve/main/vocab.txt",
        "funnel-transformer/medium-base": (
            "https://huggingface.co/funnel-transformer/medium-base/resolve/main/vocab.txt"
        ),
        "funnel-transformer/intermediate": (
            "https://huggingface.co/funnel-transformer/intermediate/resolve/main/vocab.txt"
        ),
        "funnel-transformer/intermediate-base": (
            "https://huggingface.co/funnel-transformer/intermediate-base/resolve/main/vocab.txt"
        ),
        "funnel-transformer/large": "https://huggingface.co/funnel-transformer/large/resolve/main/vocab.txt",
        "funnel-transformer/large-base": "https://huggingface.co/funnel-transformer/large-base/resolve/main/vocab.txt",
        "funnel-transformer/xlarge": "https://huggingface.co/funnel-transformer/xlarge/resolve/main/vocab.txt",
        "funnel-transformer/xlarge-base": (
            "https://huggingface.co/funnel-transformer/xlarge-base/resolve/main/vocab.txt"
        ),
    },
    "tokenizer_file": {
        "funnel-transformer/small": "https://huggingface.co/funnel-transformer/small/resolve/main/tokenizer.json",
        "funnel-transformer/small-base": (
            "https://huggingface.co/funnel-transformer/small-base/resolve/main/tokenizer.json"
        ),
        "funnel-transformer/medium": "https://huggingface.co/funnel-transformer/medium/resolve/main/tokenizer.json",
        "funnel-transformer/medium-base": (
            "https://huggingface.co/funnel-transformer/medium-base/resolve/main/tokenizer.json"
        ),
        "funnel-transformer/intermediate": (
            "https://huggingface.co/funnel-transformer/intermediate/resolve/main/tokenizer.json"
        ),
        "funnel-transformer/intermediate-base": (
            "https://huggingface.co/funnel-transformer/intermediate-base/resolve/main/tokenizer.json"
        ),
        "funnel-transformer/large": "https://huggingface.co/funnel-transformer/large/resolve/main/tokenizer.json",
        "funnel-transformer/large-base": (
            "https://huggingface.co/funnel-transformer/large-base/resolve/main/tokenizer.json"
        ),
        "funnel-transformer/xlarge": "https://huggingface.co/funnel-transformer/xlarge/resolve/main/tokenizer.json",
        "funnel-transformer/xlarge-base": (
            "https://huggingface.co/funnel-transformer/xlarge-base/resolve/main/tokenizer.json"
        ),
    },
}
__UpperCAmelCase     					=   {f"""funnel-transformer/{name}""": 512 for name in _model_names}
__UpperCAmelCase     					=   {f"""funnel-transformer/{name}""": {"do_lower_case": True} for name in _model_names}

class 			lowercase_	(			__A    ):
      __magic_name__  :				List[Any] 							=					VOCAB_FILES_NAMES
      __magic_name__  :				List[str] 							=					PRETRAINED_VOCAB_FILES_MAP
      __magic_name__  :				List[str] 							=					PRETRAINED_INIT_CONFIGURATION
      __magic_name__  :				List[str] 							=					FunnelTokenizer
      __magic_name__  :				Optional[Any] 							=					PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
      __magic_name__  :				int 							=					2







      def __init__(   self			:				Optional[int]		,	_lowercase			:				List[str]=None		,	_lowercase			:				Optional[int]=None		,	_lowercase			:				str=True		,	_lowercase			:				str="<unk>"		,	_lowercase			:				List[str]="<sep>"		,	_lowercase			:				List[str]="<pad>"		,	_lowercase			:				Union[str, Any]="<cls>"		,	_lowercase			:				Tuple="<mask>"		,	_lowercase			:				List[str]="<s>"		,	_lowercase			:				Any="</s>"		,	_lowercase			:				Optional[Any]=True		,	_lowercase			:				List[Any]=True		,	_lowercase			:				Union[str, Any]=None		,	_lowercase			:				List[str]="##"		,	**_lowercase			:				int		,	):
        super().__init__(
            snake_case_		,	tokenizer_file=snake_case_		,	do_lower_case=snake_case_		,	unk_token=snake_case_		,	sep_token=snake_case_		,	pad_token=snake_case_		,	cls_token=snake_case_		,	mask_token=snake_case_		,	bos_token=snake_case_		,	eos_token=snake_case_		,	clean_text=snake_case_		,	tokenize_chinese_chars=snake_case_		,	strip_accents=snake_case_		,	wordpieces_prefix=snake_case_		,	**snake_case_		,	)

        lowerCAmelCase__     :     Union[str, Any]										=       json.loads(self.backend_tokenizer.normalizer.__getstate__()     )
        if (
            normalizer_state.get("lowercase"		,	snake_case_     ) != do_lower_case
            or normalizer_state.get("strip_accents"		,	snake_case_     ) != strip_accents
            or normalizer_state.get("handle_chinese_chars"		,	snake_case_     ) != tokenize_chinese_chars
        ):
          lowerCAmelCase__     :     Optional[Any]										=       getattr(snake_case_		,	normalizer_state.pop("type"     )     )
          lowerCAmelCase__     :     Optional[Any]										=       do_lower_case
          lowerCAmelCase__     :     Union[str, Any]										=       strip_accents
          lowerCAmelCase__     :     Any										=       tokenize_chinese_chars
          lowerCAmelCase__     :     str										=       normalizer_class(**snake_case_     )

        lowerCAmelCase__     :     Optional[Any]										=       do_lower_case







      def 					_lowerCAmelCase							(   self			:				Tuple		,	_lowercase			:				int		,	_lowercase			:				int=None     ):
        lowerCAmelCase__     :     List[Any]										=       [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 					_lowerCAmelCase							(   self			:				Union[str, Any]		,	_lowercase			:				Any		,	_lowercase			:				Optional[Any] = None     ):
        lowerCAmelCase__     :     Optional[Any]										=       [self.sep_token_id]
        lowerCAmelCase__     :     Union[str, Any]										=       [self.cls_token_id]
        if token_ids_a is None:
          return len(cls     ) * [self.cls_token_type_id] + len(token_ids_a + sep     ) * [0]
        return len(cls     ) * [self.cls_token_type_id] + len(token_ids_a + sep     ) * [0] + len(token_ids_a + sep     ) * [1]







      def 					_lowerCAmelCase							(   self			:				Optional[int]		,	_lowercase			:				Optional[Any]		,	_lowercase			:				Optional[int] = None     ):
        lowerCAmelCase__     :     Optional[int]										=       self._tokenizer.model.save(snake_case_		,	name=snake_case_     )
        return tuple(snake_case_     )

"""simple docstring"""



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

def  _A(		lowerCAmelCase							):

							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(lowerCAmelCase							) + 1							)			,  6							):
														if number % i == 0 or number % (i + 2) == 0:
																					return False
							return True

def  _A(		):
							A__       :     List[str]								=			2
							while True:
														if is_prime(lowerCAmelCase							):
																					yield num
														num += 1

def  _A(		lowerCAmelCase = 200_0000							):
							return sum(takewhile(lambda lowerCAmelCase							: x < n			,  prime_generator()							)							)


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





