





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        =				logging.get_logger(__name__)

_UpperCAmelCase        =				{
    'google/mobilenet_v1_1.0_224': 'https://huggingface.co/google/mobilenet_v1_1.0_224/resolve/main/config.json',
    'google/mobilenet_v1_0.75_192': 'https://huggingface.co/google/mobilenet_v1_0.75_192/resolve/main/config.json',
    # See all MobileNetV1 models at https://huggingface.co/models?filter=mobilenet_v1
}



class 							_UpperCamelCase					(	lowerCAmelCase_     ):
       _UpperCamelCase				:					Optional[Any]         =   '''mobilenet_v1'''

       def __init__(		self: str					,   _SCREAMING_SNAKE_CASE: Union[str, Any]=3					,   _SCREAMING_SNAKE_CASE: Dict=224					,   _SCREAMING_SNAKE_CASE: Union[str, Any]=1.0					,   _SCREAMING_SNAKE_CASE: Optional[int]=8					,   _SCREAMING_SNAKE_CASE: List[Any]="relu6"					,   _SCREAMING_SNAKE_CASE: Optional[Any]=True					,   _SCREAMING_SNAKE_CASE: Any=0.9_99					,   _SCREAMING_SNAKE_CASE: Optional[int]=0.02					,   _SCREAMING_SNAKE_CASE: Any=0.0_01					,   **_SCREAMING_SNAKE_CASE: List[str]					,   )       -> int:




              """simple docstring"""


              super().__init__(**_SCREAMING_SNAKE_CASE		)

              if depth_multiplier <= 0:
                     raise ValueError("depth_multiplier must be greater than zero."		)

              UpperCamelCase_          =  num_channels
              UpperCamelCase_          =  image_size
              UpperCamelCase_          =  depth_multiplier
              UpperCamelCase_          =  min_depth
              UpperCamelCase_          =  hidden_act
              UpperCamelCase_          =  tf_padding
              UpperCamelCase_          =  classifier_dropout_prob
              UpperCamelCase_          =  initializer_range
              UpperCamelCase_          =  layer_norm_eps



class 							_UpperCamelCase					(	lowerCAmelCase_     ):
       _UpperCamelCase				:					Optional[int]         =   version.parse('''1.11'''     )

       @property
       def lowercase (		self: Dict		)       -> Mapping[str, Mapping[int, str]]:




              """simple docstring"""


              return OrderedDict([("pixel_values", {0: "batch"})]		)

       @property
       def lowercase (		self: Tuple		)       -> Mapping[str, Mapping[int, str]]:




              """simple docstring"""


              if self.task == "image-classification":
                     return OrderedDict([("logits", {0: "batch"})]		)
              else:
                     return OrderedDict([("last_hidden_state", {0: "batch"}), ("pooler_output", {0: "batch"})]		)



       @property
       def lowercase (		self: Tuple		)       -> float:




              """simple docstring"""


              return 1e-4








import sys




def  lowerCAmelCase_ (							UpperCamelCase_  )     ->		Union[str, Any]:
       UpperCamelCase_          =  len(UpperCamelCase_  )
       UpperCamelCase_          =  [[0 for x in range(UpperCamelCase_  )] for x in range(UpperCamelCase_  )]
       UpperCamelCase_          =  [[0 for x in range(UpperCamelCase_  )] for x in range(UpperCamelCase_  )]

       for chain_length in range(2					,		UpperCamelCase_  ):
              for a in range(1					,		n - chain_length + 1  ):
                     UpperCamelCase_          =  a + chain_length - 1

                     UpperCamelCase_          =  sys.maxsize
                     for c in range(UpperCamelCase_					,		UpperCamelCase_  ):
                            UpperCamelCase_          =  (
                                matrix[a][c] + matrix[c + 1][b] + array[a - 1] * array[c] * array[b]
                            )
                            if cost < matrix[a][b]:
                                   UpperCamelCase_          =  cost
                                   UpperCamelCase_          =  c
       return matrix, sol




def  lowerCAmelCase_ (							UpperCamelCase_					,		UpperCamelCase_					,		UpperCamelCase_  )     ->		List[str]:
       if i == j:
              print("A" + str(UpperCamelCase_  )					,		end=" "  )
       else:
              print("("					,		end=" "  )
              print_optiomal_solution(UpperCamelCase_					,		UpperCamelCase_					,		optimal_solution[i][j]  )
              print_optiomal_solution(UpperCamelCase_					,		optimal_solution[i][j] + 1					,		UpperCamelCase_  )
              print(")"					,		end=" "  )




def  lowerCAmelCase_ (							)     ->		Any:
       UpperCamelCase_          =  [30, 35, 15, 5, 10, 20, 25]
       UpperCamelCase_          =  len(UpperCamelCase_  )
       # Size of matrix created from above array will be
       # 30*35 35*15 15*5 5*10 10*20 20*25
       UpperCamelCase_       , UpperCamelCase_          =  matrix_chain_order(UpperCamelCase_  )

       print("No. of Operation required: " + str(matrix[1][n - 1]  )  )
       print_optiomal_solution(UpperCamelCase_					,		1					,		n - 1  )


if __name__ == "__main__":
     main()

