

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


lowerCAmelCase__       = logging.get_logger(__name__)

lowerCAmelCase__       = {
    "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 						__magic_name__    (       _snake_case    ):
 UpperCAmelCase							    =						"""levit"""


 def __init__(						self		: int			,						lowerCAmelCase__		: List[Any]=2_2_4			,						lowerCAmelCase__		: Dict=3			,						lowerCAmelCase__		: str=3			,						lowerCAmelCase__		: List[str]=2			,						lowerCAmelCase__		: Any=1			,						lowerCAmelCase__		: Union[str, Any]=1_6			,						lowerCAmelCase__		: Dict=[1_2_8, 2_5_6, 3_8_4]			,						lowerCAmelCase__		: List[Any]=[4, 8, 1_2]			,						lowerCAmelCase__		: Dict=[4, 4, 4]			,						lowerCAmelCase__		: List[Any]=[1_6, 1_6, 1_6]			,						lowerCAmelCase__		: Dict=0			,						lowerCAmelCase__		: str=[2, 2, 2]			,						lowerCAmelCase__		: Optional[int]=[2, 2, 2]			,						lowerCAmelCase__		: Optional[Any]=0.02			,						**lowerCAmelCase__		: str			,						)    ->      str:
   super().__init__(**lowerCAmelCase__    )
   UpperCAmelCase					      =  image_size
   UpperCAmelCase					      =  num_channels
   UpperCAmelCase					      =  kernel_size
   UpperCAmelCase					      =  stride
   UpperCAmelCase					      =  padding
   UpperCAmelCase					      =  hidden_sizes
   UpperCAmelCase					      =  num_attention_heads
   UpperCAmelCase					      =  depths
   UpperCAmelCase					      =  key_dim
   UpperCAmelCase					      =  drop_path_rate
   UpperCAmelCase					      =  patch_size
   UpperCAmelCase					      =  attention_ratio
   UpperCAmelCase					      =  mlp_ratio
   UpperCAmelCase					      =  initializer_range
   UpperCAmelCase					      =  [
       ["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 						__magic_name__    (       _snake_case    ):
 UpperCAmelCase							    =						version.parse("""1.11"""    )


 @property
 def _UpperCamelCase	(						self		: Tuple    )    ->      Mapping[str, Mapping[int, str]]:
   return OrderedDict(
       [
           ("pixel_values", {0: "batch", 1: "num_channels", 2: "height", 3: "width"}),
       ]    )


 @property
 def _UpperCamelCase	(						self		: Tuple    )    ->      float:
   return 1e-4






def      _lowerCAmelCase(	__A   ,       __A			):
  return (pointa[0] - pointa[0]) ** 2 + (pointa[1] - pointa[1]) ** 2
def      _lowerCAmelCase(	__A   ,       __A=0			):
  return sorted(__A   ,       key=lambda __A			: x[column]			)
def      _lowerCAmelCase(	__A   ,       __A   ,       __A=float("inf"			)			):

  for i in range(points_counts - 1			):
    for j in range(i + 1   ,       __A			):
      UpperCAmelCase					      =  euclidean_distance_sqr(points[i]   ,       points[j]			)
      if current_dis < min_dis:
        UpperCAmelCase					      =  current_dis
  return min_dis
def      _lowerCAmelCase(	__A   ,       __A   ,       __A=float("inf"			)			):

  for i in range(min(6   ,       points_counts - 1			)   ,       __A			):
    for j in range(max(0   ,       i - 6			)   ,       __A			):
      UpperCAmelCase					      =  euclidean_distance_sqr(points[i]   ,       points[j]			)
      if current_dis < min_dis:
        UpperCAmelCase					      =  current_dis
  return min_dis
def      _lowerCAmelCase(	__A   ,       __A   ,       __A			):

  # base case
  if points_counts <= 3:
    return dis_between_closest_pair(__A   ,       __A			)

  # recursion
  UpperCAmelCase					      =  points_counts // 2
  UpperCAmelCase					      =  closest_pair_of_points_sqr(
      __A   ,       points_sorted_on_y[:mid]   ,       __A			)
  UpperCAmelCase					      =  closest_pair_of_points_sqr(
      __A   ,       points_sorted_on_y[mid:]   ,       points_counts - mid			)
  UpperCAmelCase					      =  min(__A   ,       __A			)
  UpperCAmelCase					      =  []
  for point in points_sorted_on_x:
    if abs(point[0] - points_sorted_on_x[mid][0]			) < closest_pair_dis:
      cross_strip.append(__A			)

  UpperCAmelCase					      =  dis_between_closest_in_strip(
      __A   ,       len(__A			)   ,       __A			)
  return min(__A   ,       __A			)
def      _lowerCAmelCase(	__A   ,       __A			):
  UpperCAmelCase					      =  column_based_sort(__A   ,       column=0			)
  UpperCAmelCase					      =  column_based_sort(__A   ,       column=1			)
  return (
      closest_pair_of_points_sqr(
          __A   ,       __A   ,       __A			)
  ) ** 0.5


if __name__ == "__main__":
      lowerCAmelCase__       = [(2, 3), (12, 30), (40, 50), (5, 1), (12, 10), (3, 4)]
      print("Distance:", closest_pair_of_points(points, len(points)))



