

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      :					Union[str, Any]					    =      logging.get_logger(__name__)

_lowerCamelCase      :					str					    =      {
    '''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        lowerCAmelCase__  (					__magic_name__			):



       '''simple docstring'''







       lowercase_						=    """mobilenet_v1"""

       def __init__(							self ,   lowercase__=3 ,   lowercase__=2_2_4 ,   lowercase__=1.0 ,   lowercase__=8 ,   lowercase__="relu6" ,   lowercase__=True ,   lowercase__=0.999 ,   lowercase__=0.02 ,   lowercase__=0.001 ,   **lowercase__ ,   ):







             '''simple docstring'''



             super().__init__(**lowercase__     )

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

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





class        lowerCAmelCase__  (					__magic_name__			):



       '''simple docstring'''







       lowercase_						=    version.parse("""1.11"""			)

       @property
       def     __UpperCamelCase     (							self     ):







             '''simple docstring'''



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

       @property
       def     __UpperCamelCase     (							self     ):







             '''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     __UpperCamelCase     (							self     ):







             '''simple docstring'''



             return 1E-4





def      A__					(			__A  :						str     ,				__A  :						str			)					->str:

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

      __A    =len(__A			)
      __A    =len(__A			)

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

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

      return texta[ans_index - ans_length : ans_index]


if __name__ == "__main__":
   import doctest

   doctest.testmod()


