




'''simple docstring'''


from __future__ import annotations

lowerCAmelCase_      :  str				     =  [True] * 100_0001
lowerCAmelCase_      :  List[str]				     =  2
while i * i <= 100_0000:
 if seive[i]:
  for j in range(i * i, 100_0001, i):
   lowerCAmelCase_      :  List[str]				     =  False
 i += 1



def  _SCREAMING_SNAKE_CASE     (      UpperCamelCase__    :					int				):




     """simple docstring"""


     return seive[n]



def  _SCREAMING_SNAKE_CASE     (      UpperCamelCase__    :					int				):




     """simple docstring"""


     return any(digit in """02468""" for digit in str(UpperCamelCase__				)				)



def  _SCREAMING_SNAKE_CASE     (      UpperCamelCase__    :					int = 100_0000				):




     """simple docstring"""


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



def  _SCREAMING_SNAKE_CASE     (      ):




     """simple docstring"""


     return len(find_circular_primes()				)


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






'''simple docstring'''


from typing import TYPE_CHECKING

from ...utils import (
    OptionalDependencyNotAvailable,
    _LazyModule,
    is_tf_available,
    is_torch_available,
    is_vision_available,
)


lowerCAmelCase_      :  Optional[Any]				     =  {
    'configuration_mobilevit': ['MOBILEVIT_PRETRAINED_CONFIG_ARCHIVE_MAP', 'MobileViTConfig', 'MobileViTOnnxConfig'],
}

try:
 if not is_vision_available():
  raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
 pass
else:
 lowerCAmelCase_      :  int				     =  ['MobileViTFeatureExtractor']
 lowerCAmelCase_      :  int				     =  ['MobileViTImageProcessor']

try:
 if not is_torch_available():
  raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
 pass
else:
 lowerCAmelCase_      :  str				     =  [
     'MOBILEVIT_PRETRAINED_MODEL_ARCHIVE_LIST',
     'MobileViTForImageClassification',
     'MobileViTForSemanticSegmentation',
     'MobileViTModel',
     'MobileViTPreTrainedModel',
 ]

try:
 if not is_tf_available():
  raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
 pass
else:
 lowerCAmelCase_      :  Optional[Any]				     =  [
     'TF_MOBILEVIT_PRETRAINED_MODEL_ARCHIVE_LIST',
     'TFMobileViTForImageClassification',
     'TFMobileViTForSemanticSegmentation',
     'TFMobileViTModel',
     'TFMobileViTPreTrainedModel',
 ]

if TYPE_CHECKING:
 from .configuration_mobilevit import MOBILEVIT_PRETRAINED_CONFIG_ARCHIVE_MAP, MobileViTConfig, MobileViTOnnxConfig

 try:
  if not is_vision_available():
   raise OptionalDependencyNotAvailable()
 except OptionalDependencyNotAvailable:
  pass
 else:
  from .feature_extraction_mobilevit import MobileViTFeatureExtractor
  from .image_processing_mobilevit import MobileViTImageProcessor

 try:
  if not is_torch_available():
   raise OptionalDependencyNotAvailable()
 except OptionalDependencyNotAvailable:
  pass
 else:
  from .modeling_mobilevit import (
      MOBILEVIT_PRETRAINED_MODEL_ARCHIVE_LIST,
      MobileViTForImageClassification,
      MobileViTForSemanticSegmentation,
      MobileViTModel,
      MobileViTPreTrainedModel,
  )

 try:
  if not is_tf_available():
   raise OptionalDependencyNotAvailable()
 except OptionalDependencyNotAvailable:
  pass
 else:
  from .modeling_tf_mobilevit import (
      TF_MOBILEVIT_PRETRAINED_MODEL_ARCHIVE_LIST,
      TFMobileViTForImageClassification,
      TFMobileViTForSemanticSegmentation,
      TFMobileViTModel,
      TFMobileViTPreTrainedModel,
  )


else:
 import sys

 lowerCAmelCase_      :  List[Any]				     =  _LazyModule(__name__, globals()['__file__'], _import_structure, module_spec=__spec__)
