

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__  :      Optional[Any]			=    logging.get_logger(__name__)

UpperCamelCase__  :      List[str]			=    {
    'facebook/levit-128S': 'https://huggingface.co/facebook/levit-128S/resolve/main/config.json',
    # See all LeViT models at https://huggingface.co/models?filter=levit
}



class       __snake_case  (    lowerCAmelCase__       ):
  __lowerCAmelCase     :	List[str]						 =  'levit'

  def __init__(					self						,		_A=224						,		_A=3						,		_A=3						,		_A=2						,		_A=1						,		_A=16						,		_A=[128, 256, 384]						,		_A=[4, 8, 12]						,		_A=[4, 4, 4]						,		_A=[16, 16, 16]						,		_A=0						,		_A=[2, 2, 2]						,		_A=[2, 2, 2]						,		_A=0.0_2						,		**_A						,		):
      super().__init__(**__A)
      SCREAMING_SNAKE_CASE_									=						image_size
      SCREAMING_SNAKE_CASE_									=						num_channels
      SCREAMING_SNAKE_CASE_									=						kernel_size
      SCREAMING_SNAKE_CASE_									=						stride
      SCREAMING_SNAKE_CASE_									=						padding
      SCREAMING_SNAKE_CASE_									=						hidden_sizes
      SCREAMING_SNAKE_CASE_									=						num_attention_heads
      SCREAMING_SNAKE_CASE_									=						depths
      SCREAMING_SNAKE_CASE_									=						key_dim
      SCREAMING_SNAKE_CASE_									=						drop_path_rate
      SCREAMING_SNAKE_CASE_									=						patch_size
      SCREAMING_SNAKE_CASE_									=						attention_ratio
      SCREAMING_SNAKE_CASE_									=						mlp_ratio
      SCREAMING_SNAKE_CASE_									=						initializer_range
      SCREAMING_SNAKE_CASE_									=						[
          ["Subsample", key_dim[0], hidden_sizes[0] // key_dim[0], 4, 2, 2],
          ["Subsample", key_dim[0], hidden_sizes[1] // key_dim[0], 4, 2, 2],
      ]






class       __snake_case  (    lowerCAmelCase__       ):
  __lowerCAmelCase     :	List[str]						 =  version.parse('1.11'       )

  @property
  def 						lowerCAmelCase__     (					self):
      return OrderedDict(
          [
              ('pixel_values', {0: 'batch', 1: 'num_channels', 2: 'height', 3: 'width'}),
          ])


  @property
  def 						lowerCAmelCase__     (					self):
      return 1E-4





def 					_UpperCAmelCase       (  _SCREAMING_SNAKE_CASE					:		int = 200       ):





    """simple docstring"""


    SCREAMING_SNAKE_CASE_									=						[1, 2, 5, 10, 20, 50, 100, 200]
    SCREAMING_SNAKE_CASE_									=						[0] * (pence + 1)
    SCREAMING_SNAKE_CASE_									=						1  # base case: 1 way to make 0 pence

    for coin in coins:
        for i in range(_SCREAMING_SNAKE_CASE ,   pence + 1 ,   1       ):
            number_of_ways[i] += number_of_ways[i - coin]
    return number_of_ways[pence]


if __name__ == "__main__":
       assert solution(200) == 73_682


