
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     UpperCAmelCase						(		A_					):
   A__   :						Optional[Any]			=	"levit"



   def __init__(self						:   str       ,		snake_case__						:   List[Any]=2_24       ,		snake_case__						:   Optional[int]=3       ,		snake_case__						:   Union[str, Any]=3       ,		snake_case__						:   Optional[int]=2       ,		snake_case__						:   List[str]=1       ,		snake_case__						:   Optional[int]=16       ,		snake_case__						:   Tuple=[1_28, 2_56, 3_84]       ,		snake_case__						:   List[Any]=[4, 8, 12]       ,		snake_case__						:   Union[str, Any]=[4, 4, 4]       ,		snake_case__						:   Union[str, Any]=[16, 16, 16]       ,		snake_case__						:   Tuple=0       ,		snake_case__						:   Union[str, Any]=[2, 2, 2]       ,		snake_case__						:   List[Any]=[2, 2, 2]       ,		snake_case__						:   int=0.02       ,		**snake_case__						:   List[str]       ,		)						->      int:


          '''simple docstring'''


          super().__init__(**snake_case__					)
          snake_case			:  Union[str, Any]     							= image_size
          snake_case			:  Tuple     							= num_channels
          snake_case			:  List[str]     							= kernel_size
          snake_case			:  List[str]     							= stride
          snake_case			:  Any     							= padding
          snake_case			:  Union[str, Any]     							= hidden_sizes
          snake_case			:  Tuple     							= num_attention_heads
          snake_case			:  Union[str, Any]     							= depths
          snake_case			:  Optional[int]     							= key_dim
          snake_case			:  Tuple     							= drop_path_rate
          snake_case			:  Optional[int]     							= patch_size
          snake_case			:  Dict     							= attention_ratio
          snake_case			:  Tuple     							= mlp_ratio
          snake_case			:  Optional[int]     							= initializer_range
          snake_case			:  Optional[Any]     							= [
              ["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     UpperCAmelCase						(		A_					):
   A__   :						Dict			=	version.parse("1.11"					)



   @property
   def 							_SCREAMING_SNAKE_CASE  (self						:   Optional[int]					)						->      Mapping[str, Mapping[int, str]]:


          '''simple docstring'''


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



   @property
   def 							_SCREAMING_SNAKE_CASE  (self						:   str					)						->      float:


          '''simple docstring'''


          return 1e-4







__lowerCamelCase				=			"""Tobias Carryer"""

from time import time






class     UpperCAmelCase						:



   def __init__(self						:   Dict       ,		snake_case__						:   Optional[Any]       ,		snake_case__						:   Optional[Any]       ,		snake_case__						:   str       ,		snake_case__						:   Optional[int]=int(time()					)					)						->      List[Any]:  # noqa: B008


          '''simple docstring'''


          snake_case			:  Dict     							= multiplier
          snake_case			:  Dict     							= increment
          snake_case			:  Union[str, Any]     							= modulo
          snake_case			:  Tuple     							= seed



   def 							_SCREAMING_SNAKE_CASE  (self						:   List[Any]					)						->      Any:


          '''simple docstring'''


          snake_case			:  Optional[int]     							= (self.multiplier * self.seed + self.increment) % self.modulo
          return self.seed


if __name__ == "__main__":
   # Show the LCG in action.
   __lowerCamelCase				=			LinearCongruentialGenerator(1_66_45_25, 10_13_90_42_23, 2 << 31)
   while True:
      print(lcg.next_number())





