





'''simple docstring'''






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__    :       Tuple              =logging.get_logger(__name__)

A__    :       Optional[Any]              ={
    'google/mobilenet_v2_1.4_224': 'https://huggingface.co/google/mobilenet_v2_1.4_224/resolve/main/config.json',
    'google/mobilenet_v2_1.0_224': 'https://huggingface.co/google/mobilenet_v2_1.0_224/resolve/main/config.json',
    'google/mobilenet_v2_0.75_160': 'https://huggingface.co/google/mobilenet_v2_0.75_160/resolve/main/config.json',
    'google/mobilenet_v2_0.35_96': 'https://huggingface.co/google/mobilenet_v2_0.35_96/resolve/main/config.json',
    # See all MobileNetV2 models at https://huggingface.co/models?filter=mobilenet_v2
}




class 			UpperCAmelCase					(      _lowerCAmelCase       ):
      _lowercase:      Union[str, Any]											=       "mobilenet_v2"




      def __init__(      self      :			int      ,      __snake_case      :			Dict=3      ,      __snake_case      :			Optional[int]=2_24      ,      __snake_case      :			str=1.0      ,      __snake_case      :			str=8      ,      __snake_case      :			Union[str, Any]=8      ,      __snake_case      :			Optional[int]=6      ,      __snake_case      :			str=32      ,      __snake_case      :			Dict=True      ,      __snake_case      :			Union[str, Any]=True      ,      __snake_case      :			Optional[int]="relu6"      ,      __snake_case      :			Union[str, Any]=True      ,      __snake_case      :			List[str]=0.8      ,      __snake_case      :			Any=0.02      ,      __snake_case      :			str=0.0_01      ,      __snake_case      :			Dict=2_55      ,      **__snake_case      :			int      ,      )    ->				Optional[Any]:
            super().__init__(**_lowercase  )

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

            _lowerCAmelCase												=							num_channels
            _lowerCAmelCase												=							image_size
            _lowerCAmelCase												=							depth_multiplier
            _lowerCAmelCase												=							depth_divisible_by
            _lowerCAmelCase												=							min_depth
            _lowerCAmelCase												=							expand_ratio
            _lowerCAmelCase												=							output_stride
            _lowerCAmelCase												=							first_layer_is_expansion
            _lowerCAmelCase												=							finegrained_output
            _lowerCAmelCase												=							hidden_act
            _lowerCAmelCase												=							tf_padding
            _lowerCAmelCase												=							classifier_dropout_prob
            _lowerCAmelCase												=							initializer_range
            _lowerCAmelCase												=							layer_norm_eps
            _lowerCAmelCase												=							semantic_loss_ignore_index




class 			UpperCAmelCase					(      _lowerCAmelCase       ):
      _lowercase:      Any											=       version.parse('''1.11'''       )




      @property
      def     lowercase__   (      self      :			str  )    ->				Tuple:
            return OrderedDict([("""pixel_values""", {0: """batch"""})]  )




      @property
      def     lowercase__   (      self      :			str  )    ->				Dict:
            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      :			Optional[int]  )    ->				Optional[Any]:
            return 1E-4













'''simple docstring'''






def        UpperCamelCase__				(		lowerCAmelCase							,     lowerCAmelCase  ):





      """simple docstring"""


      if not (isinstance(lowerCAmelCase							,     lowerCAmelCase  ) and isinstance(lowerCAmelCase							,     lowerCAmelCase  )):
            raise ValueError("""longest_common_substring() takes two strings for inputs"""  )

      _lowerCAmelCase												=							len(lowerCAmelCase  )
      _lowerCAmelCase												=							len(lowerCAmelCase  )

      _lowerCAmelCase												=							[[0] * (texta_length + 1) for _ in range(texta_length + 1  )]
      _lowerCAmelCase												=							0
      _lowerCAmelCase												=							0

      for i in range(1							,     texta_length + 1  ):
            for j in range(1							,     texta_length + 1  ):
                  if texta[i - 1] == texta[j - 1]:
                        _lowerCAmelCase												=							1 + dp[i - 1][j - 1]
                        if dp[i][j] > ans_length:
                              _lowerCAmelCase												=							i
                              _lowerCAmelCase												=							dp[i][j]

      return texta[ans_index - ans_length : ans_index]


if __name__ == "__main__":
      import doctest

      doctest.testmod()






