


from typing import TYPE_CHECKING

from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_tokenizers_available, is_torch_available


UpperCAmelCase_				:			Any   =	{
    'configuration_canine': ['CANINE_PRETRAINED_CONFIG_ARCHIVE_MAP', 'CanineConfig'],
    'tokenization_canine': ['CanineTokenizer'],
}

try:
   if not is_torch_available():
      raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
   pass
else:
   UpperCAmelCase_				:			Optional[Any]   =	[
       'CANINE_PRETRAINED_MODEL_ARCHIVE_LIST',
       'CanineForMultipleChoice',
       'CanineForQuestionAnswering',
       'CanineForSequenceClassification',
       'CanineForTokenClassification',
       'CanineLayer',
       'CanineModel',
       'CaninePreTrainedModel',
       'load_tf_weights_in_canine',
   ]


if TYPE_CHECKING:
   from .configuration_canine import CANINE_PRETRAINED_CONFIG_ARCHIVE_MAP, CanineConfig
   from .tokenization_canine import CanineTokenizer

   try:
      if not is_torch_available():
         raise OptionalDependencyNotAvailable()
   except OptionalDependencyNotAvailable:
      pass
   else:
      from .modeling_canine import (
          CANINE_PRETRAINED_MODEL_ARCHIVE_LIST,
          CanineForMultipleChoice,
          CanineForQuestionAnswering,
          CanineForSequenceClassification,
          CanineForTokenClassification,
          CanineLayer,
          CanineModel,
          CaninePreTrainedModel,
          load_tf_weights_in_canine,
      )


else:
   import sys

   UpperCAmelCase_				:			Union[str, Any]   =	_LazyModule(__name__, globals()['__file__'], _import_structure, module_spec=__spec__)






from __future__ import annotations

UpperCAmelCase_				:			Dict   =	[True] * 100_0001
UpperCAmelCase_				:			Any   =	2
while i * i <= 100_0000:
   if seive[i]:
      for j in range(i * i, 100_0001, i):
         UpperCAmelCase_				:			Tuple   =	False
   i += 1







def 	SCREAMING_SNAKE_CASE_						(      __A			:      int    )     ->		bool:

       """simple docstring"""

       return seive[n]







def 	SCREAMING_SNAKE_CASE_						(      __A			:      int    )     ->		bool:

       """simple docstring"""

       return any(digit in '02468' for digit in str(__A    )    )







def 	SCREAMING_SNAKE_CASE_						(      __A			:      int = 1_00_00_00    )     ->		list[int]:

       """simple docstring"""

       a_ :		Dict							=  [2]  # result already includes the number 2.
       for num in range(3  ,   limit + 1  ,   2    ):
              if is_prime(__A    ) and not contains_an_even_digit(__A    ):
                     a_ :		Dict							=  str(__A    )
                     a_ :		Any							=  [int(str_num[j:] + str_num[:j]    ) for j in range(len(__A    )    )]
                     if all(is_prime(__A    ) for i in list_nums    ):
                            result.append(__A    )
       return result







def 	SCREAMING_SNAKE_CASE_						(      )     ->		int:

       """simple docstring"""

       return len(find_circular_primes()    )


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


