


'''simple docstring'''


from collections import OrderedDict
from typing import Mapping

from packaging import version

from ...configuration_utils import PretrainedConfig
from ...onnx import OnnxConfig
from ...utils import logging


_UpperCamelCase          =     logging.get_logger(__name__)

_UpperCamelCase          =     {
    """apple/mobilevitv2-1.0""": """https://huggingface.co/apple/mobilevitv2-1.0/resolve/main/config.json""",
}







class        __magic_name__  (					lowerCAmelCase   ):

     """simple docstring"""






     lowerCamelCase__						=							'mobilevitv2'


     def __init__(      self ,    lowerCamelCase=3 ,    lowerCamelCase=256 ,    lowerCamelCase=2 ,    lowerCamelCase=2.0 ,    lowerCamelCase="swish" ,    lowerCamelCase=3 ,    lowerCamelCase=32 ,    lowerCamelCase=0.1 ,    lowerCamelCase=0.02 ,    lowerCamelCase=1E-5 ,    lowerCamelCase=512 ,    lowerCamelCase=[6, 12, 18] ,    lowerCamelCase=0.1 ,    lowerCamelCase=255 ,    lowerCamelCase=[2, 4, 3] ,    lowerCamelCase=[128, 192, 256] ,    lowerCamelCase=1.0 ,    lowerCamelCase=2 ,    lowerCamelCase=0.0 ,    lowerCamelCase=0.0 ,    **lowerCamelCase ,    ):


          '''simple docstring'''





          super().__init__(**lowerCamelCase		)

          __A  :					str						     =       num_channels
          __A  :					Dict						     =       image_size
          __A  :					Tuple						     =       patch_size
          __A  :					Union[str, Any]						     =       expand_ratio
          __A  :					Dict						     =       hidden_act
          __A  :					Union[str, Any]						     =       conv_kernel_size
          __A  :					Tuple						     =       output_stride
          __A  :					Optional[int]						     =       initializer_range
          __A  :					Dict						     =       layer_norm_eps
          __A  :					Dict						     =       n_attn_blocks
          __A  :					Any						     =       base_attn_unit_dims
          __A  :					str						     =       width_multiplier
          __A  :					List[str]						     =       ffn_multiplier
          __A  :					int						     =       ffn_dropout
          __A  :					List[str]						     =       attn_dropout
          __A  :					Union[str, Any]						     =       classifier_dropout_prob

          # decode head attributes for semantic segmentation
          __A  :					Dict						     =       aspp_out_channels
          __A  :					int						     =       atrous_rates
          __A  :					int						     =       aspp_dropout_prob
          __A  :					Optional[int]						     =       semantic_loss_ignore_index







class        __magic_name__  (					lowerCAmelCase   ):

     """simple docstring"""






     lowerCamelCase__						=							version.parse('1.11'   )


     @property
     def lowerCAmelCase__     (      self		):


          '''simple docstring'''





          return OrderedDict([("pixel_values", {0: "batch", 1: "num_channels", 2: "height", 3: "width"})]		)


     @property
     def lowerCAmelCase__     (      self		):


          '''simple docstring'''





          if self.task == "image-classification":
               return OrderedDict([("logits", {0: "batch"})]		)
          else:
               return OrderedDict([("last_hidden_state", {0: "batch"}), ("pooler_output", {0: "batch"})]		)


     @property
     def lowerCAmelCase__     (      self		):


          '''simple docstring'''





          return 1E-4





'''simple docstring'''


import math
from collections.abc import Generator


def 		_lowercase   (SCREAMING_SNAKE_CASE       ):




     '''simple docstring'''





     __A  :					Generator						     =       (i for i in range(1					,				(max_n + 1)       ))
     for i in (n for n in numbers if n > 1):
          for j in range(2					,				SCREAMING_SNAKE_CASE       ):
               if (i % j) == 0:
                    break
          else:
               yield i


def 		_lowercase   (SCREAMING_SNAKE_CASE       ):




     '''simple docstring'''





     __A  :					Generator						     =       (i for i in range(1					,				(max_n + 1)       ))
     for i in (n for n in numbers if n > 1):
          # only need to check for factors up to sqrt(i)
          __A  :					Optional[Any]						     =       int(math.sqrt(SCREAMING_SNAKE_CASE       )       ) + 1
          for j in range(2					,				SCREAMING_SNAKE_CASE       ):
               if (i % j) == 0:
                    break
          else:
               yield i


def 		_lowercase   (SCREAMING_SNAKE_CASE       ):




     '''simple docstring'''





     __A  :					Generator						     =       (i for i in range(1					,				(max_n + 1)					,				2       ))
     # It's useless to test even numbers as they will not be prime
     if max_n > 2:
          yield 2  # Because 2 will not be tested, it's necessary to yield it now
     for i in (n for n in numbers if n > 1):
          __A  :					List[str]						     =       int(math.sqrt(SCREAMING_SNAKE_CASE       )       ) + 1
          for j in range(3					,				SCREAMING_SNAKE_CASE					,				2       ):
               # As we removed the even numbers, we don't need them now
               if (i % j) == 0:
                    break
          else:
               yield i


def 		_lowercase   ():




     '''simple docstring'''





     from timeit import timeit

     __A  :					List[str]						     =       "from __main__ import slow_primes, primes, fast_primes"
     print(timeit("slow_primes(1_000_000_000_000)"					,				setup=SCREAMING_SNAKE_CASE					,				number=100_0000       )       )
     print(timeit("primes(1_000_000_000_000)"					,				setup=SCREAMING_SNAKE_CASE					,				number=100_0000       )       )
     print(timeit("fast_primes(1_000_000_000_000)"					,				setup=SCREAMING_SNAKE_CASE					,				number=100_0000       )       )


if __name__ == "__main__":
      _UpperCamelCase          =     int(input("""Calculate primes up to:\n>> """).strip())
      for ret in primes(number):
            print(ret)
      benchmark()

