"""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
from ...utils.backbone_utils import BackboneConfigMixin, get_aligned_output_features_output_indices


UpperCAmelCase__			=    logging.get_logger(__name__)

UpperCAmelCase__			=    {
    """microsoft/swin-tiny-patch4-window7-224""": (
        """https://huggingface.co/microsoft/swin-tiny-patch4-window7-224/resolve/main/config.json"""
    ),
    # See all Swin models at https://huggingface.co/models?filter=swin
}


class 							a					(		lowerCAmelCase_						,				lowerCAmelCase_ ):
    _snake_case  :	int  				=				'swin'

    _snake_case  :	Dict  				=				{
        'num_attention_heads': 'num_heads',
        'num_hidden_layers': 'num_layers',
    }


    def __init__(       self						:	List[Any] ,					__lowerCAmelCase						:	Optional[int]=224 ,					__lowerCAmelCase						:	Dict=4 ,					__lowerCAmelCase						:	Dict=3 ,					__lowerCAmelCase						:	int=96 ,					__lowerCAmelCase						:	Optional[Any]=[2, 2, 6, 2] ,					__lowerCAmelCase						:	Optional[Any]=[3, 6, 12, 24] ,					__lowerCAmelCase						:	Optional[Any]=7 ,					__lowerCAmelCase						:	str=4.0 ,					__lowerCAmelCase						:	Dict=True ,					__lowerCAmelCase						:	Optional[Any]=0.0 ,					__lowerCAmelCase						:	Optional[int]=0.0 ,					__lowerCAmelCase						:	Any=0.1 ,					__lowerCAmelCase						:	Dict="gelu" ,					__lowerCAmelCase						:	List[Any]=False ,					__lowerCAmelCase						:	str=0.02 ,					__lowerCAmelCase						:	List[str]=1e-5 ,					__lowerCAmelCase						:	List[Any]=32 ,					__lowerCAmelCase						:	str=None ,					__lowerCAmelCase						:	List[Any]=None ,					**__lowerCAmelCase						:	Union[str, Any] ,					):
      super().__init__(**__lowerCAmelCase       )

      _UpperCAmelCase    			=   image_size
      _UpperCAmelCase    			=   patch_size
      _UpperCAmelCase    			=   num_channels
      _UpperCAmelCase    			=   embed_dim
      _UpperCAmelCase    			=   depths
      _UpperCAmelCase    			=   len(__lowerCAmelCase       )
      _UpperCAmelCase    			=   num_heads
      _UpperCAmelCase    			=   window_size
      _UpperCAmelCase    			=   mlp_ratio
      _UpperCAmelCase    			=   qkv_bias
      _UpperCAmelCase    			=   hidden_dropout_prob
      _UpperCAmelCase    			=   attention_probs_dropout_prob
      _UpperCAmelCase    			=   drop_path_rate
      _UpperCAmelCase    			=   hidden_act
      _UpperCAmelCase    			=   use_absolute_embeddings
      _UpperCAmelCase    			=   layer_norm_eps
      _UpperCAmelCase    			=   initializer_range
      _UpperCAmelCase    			=   encoder_stride
      # we set the hidden_size attribute in order to make Swin work with VisionEncoderDecoderModel
      # this indicates the channel dimension after the last stage of the model
      _UpperCAmelCase    			=   int(embed_dim * 2 ** (len(__lowerCAmelCase       ) - 1)       )
      _UpperCAmelCase    			=   ["""stem"""] + [f'''stage{idx}''' for idx in range(1 ,					len(__lowerCAmelCase       ) + 1       )]
      _UpperCAmelCase			,					_UpperCAmelCase    			=   get_aligned_output_features_output_indices(
          out_features=__lowerCAmelCase ,					out_indices=__lowerCAmelCase ,					stage_names=self.stage_names       )



class 							a					(		lowerCAmelCase_ ):
    _snake_case  :	str  				=				version.parse('1.11' )


    @property
    def   lowerCAmelCase_	(       self						:	Optional[Any]       ):
      return OrderedDict(
          [
              ("""pixel_values""", {0: """batch""", 1: """num_channels""", 2: """height""", 3: """width"""}),
          ]       )


    @property
    def   lowerCAmelCase_	(       self						:	Union[str, Any]       ):
      return 1e-4

"""simple docstring"""


from math import isqrt






def      __UpperCAmelCase       (      lowercase		):







  """simple docstring"""
  _UpperCAmelCase    			=   [True] * max_number
  for i in range(2 ,isqrt(max_number - 1		) + 1		):
    if is_prime[i]:
      for j in range(i**2 ,lowercase ,lowercase		):
        _UpperCAmelCase    			=   False

  return [i for i in range(2 ,lowercase		) if is_prime[i]]






def      __UpperCAmelCase       (      lowercase = 10**8		):







  """simple docstring"""
  _UpperCAmelCase    			=   calculate_prime_numbers(max_number // 2		)

  _UpperCAmelCase    			=   0
  _UpperCAmelCase    			=   0
  _UpperCAmelCase    			=   len(lowercase		) - 1
  while left <= right:
    while prime_numbers[left] * prime_numbers[right] >= max_number:
      right -= 1
    semiprimes_count += right - left + 1
    left += 1

  return semiprimes_count


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