


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


__a       =					logging.get_logger(__name__)

__a       =					{
    '''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  __SCREAMING_SNAKE_CASE      (	UpperCamelCase__      ):
      A :							Optional[Any]										=   'levit'


      def __init__(							self							,  SCREAMING_SNAKE_CASE__=224							,  SCREAMING_SNAKE_CASE__=3							,  SCREAMING_SNAKE_CASE__=3							,  SCREAMING_SNAKE_CASE__=2							,  SCREAMING_SNAKE_CASE__=1							,  SCREAMING_SNAKE_CASE__=16							,  SCREAMING_SNAKE_CASE__=[128, 256, 384]							,  SCREAMING_SNAKE_CASE__=[4, 8, 12]							,  SCREAMING_SNAKE_CASE__=[4, 4, 4]							,  SCREAMING_SNAKE_CASE__=[16, 16, 16]							,  SCREAMING_SNAKE_CASE__=0							,  SCREAMING_SNAKE_CASE__=[2, 2, 2]							,  SCREAMING_SNAKE_CASE__=[2, 2, 2]							,  SCREAMING_SNAKE_CASE__=0.02							,  **SCREAMING_SNAKE_CASE__							,  ):
            super().__init__(**_a						)
            lowercase	:      List[Any]          =						image_size
            lowercase	:      Union[str, Any]          =						num_channels
            lowercase	:      Optional[Any]          =						kernel_size
            lowercase	:      Optional[int]          =						stride
            lowercase	:      int          =						padding
            lowercase	:      Optional[int]          =						hidden_sizes
            lowercase	:      List[str]          =						num_attention_heads
            lowercase	:      Tuple          =						depths
            lowercase	:      Any          =						key_dim
            lowercase	:      Optional[Any]          =						drop_path_rate
            lowercase	:      Tuple          =						patch_size
            lowercase	:      Tuple          =						attention_ratio
            lowercase	:      int          =						mlp_ratio
            lowercase	:      Any          =						initializer_range
            lowercase	:      Tuple          =						[
                ["""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  __SCREAMING_SNAKE_CASE      (	UpperCamelCase__      ):
      A :							Dict										=   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 				lowerCAmelCase_	(     snake_case_,snake_case_     ):
      _enforce_args(snake_case_,snake_case_     )
      if n == 0:
            return 0
      _A							:     Tuple			=						float("""-inf"""     )
      for i in range(1,n + 1     ):
            _A							:     str			=						max(
                snake_case_,prices[i - 1] + naive_cut_rod_recursive(n - i,snake_case_     )     )

      return max_revue







def 				lowerCAmelCase_	(     snake_case_,snake_case_     ):
      _enforce_args(snake_case_,snake_case_     )
      _A							:     Dict			=						[float("""-inf"""     ) for _ in range(n + 1     )]
      return _top_down_cut_rod_recursive(snake_case_,snake_case_,snake_case_     )







def 				lowerCAmelCase_	(     snake_case_,snake_case_,snake_case_     ):
      if max_rev[n] >= 0:
            return max_rev[n]
      elif n == 0:
            return 0
      else:
            _A							:     List[str]			=						float("""-inf"""     )
            for i in range(1,n + 1     ):
                  _A							:     Optional[Any]			=						max(
                      snake_case_,prices[i - 1] + _top_down_cut_rod_recursive(n - i,snake_case_,snake_case_     ),)

            _A							:     Tuple			=						max_revenue

      return max_rev[n]







def 				lowerCAmelCase_	(     snake_case_,snake_case_     ):
      _enforce_args(snake_case_,snake_case_     )

      # length(max_rev) = n + 1, to accommodate for the revenue obtainable from a rod of
      # length 0.
      _A							:     List[Any]			=						[float("""-inf"""     ) for _ in range(n + 1     )]
      _A							:     Any			=						0

      for i in range(1,n + 1     ):
            _A							:     Optional[Any]			=						max_rev[i]
            for j in range(1,i + 1     ):
                  _A							:     int			=						max(snake_case_,prices[j - 1] + max_rev[i - j]     )

            _A							:     int			=						max_revenue_i

      return max_rev[n]







def 				lowerCAmelCase_	(     snake_case_,snake_case_     ):
      if n < 0:
            _A							:     Optional[Any]			=						f'''n must be greater than or equal to 0. Got n = {n}'''
            raise ValueError(snake_case_     )

      if n > len(snake_case_     ):
            _A							:     Any			=						(
                """Each integral piece of rod must have a corresponding price. """
                f'''Got n = {n} but length of prices = {len(snake_case_     )}'''
            )
            raise ValueError(snake_case_     )







def 				lowerCAmelCase_	(     ):
      _A							:     Tuple			=						[6, 10, 12, 15, 20, 23]
      _A							:     List[Any]			=						len(snake_case_     )

      # the best revenue comes from cutting the rod into 6 pieces, each
      # of length 1 resulting in a revenue of 6 * 6 = 36.
      _A							:     Any			=						36

      _A							:     List[Any]			=						top_down_cut_rod(snake_case_,snake_case_     )
      _A							:     List[Any]			=						bottom_up_cut_rod(snake_case_,snake_case_     )
      _A							:     Dict			=						naive_cut_rod_recursive(snake_case_,snake_case_     )

      assert expected_max_revenue == max_rev_top_down
      assert max_rev_top_down == max_rev_bottom_up
      assert max_rev_bottom_up == max_rev_naive


if __name__ == "__main__":
  main()

