


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      :    List[Any]		=					logging.get_logger(__name__)

A      :    Optional[int]		=					{
    "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 			_lowercase (							lowercase__):


       """simple docstring"""




       A__											=			"mobilenet_v2"





       def __init__(   self							:			str					,      __lowerCamelCase							:			Optional[Any]=3					,      __lowerCamelCase							:			List[Any]=224					,      __lowerCamelCase							:			int=1.0					,      __lowerCamelCase							:			Optional[int]=8					,      __lowerCamelCase							:			str=8					,      __lowerCamelCase							:			List[str]=6					,      __lowerCamelCase							:			Tuple=32					,      __lowerCamelCase							:			List[str]=True					,      __lowerCamelCase							:			Tuple=True					,      __lowerCamelCase							:			int="relu6"					,      __lowerCamelCase							:			str=True					,      __lowerCamelCase							:			Dict=0.8					,      __lowerCamelCase							:			Optional[int]=0.0_2					,      __lowerCamelCase							:			str=0.0_0_1					,      __lowerCamelCase							:			List[Any]=255					,      **__lowerCamelCase							:			Union[str, Any]					,      ):


             '''simple docstring'''



             super().__init__(**__lowerCamelCase       )

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

             lowerCamelCase__		:				List[Any]    =  num_channels
             lowerCamelCase__		:				List[Any]    =  image_size
             lowerCamelCase__		:				Optional[Any]    =  depth_multiplier
             lowerCamelCase__		:				Union[str, Any]    =  depth_divisible_by
             lowerCamelCase__		:				List[Any]    =  min_depth
             lowerCamelCase__		:				str    =  expand_ratio
             lowerCamelCase__		:				List[Any]    =  output_stride
             lowerCamelCase__		:				Union[str, Any]    =  first_layer_is_expansion
             lowerCamelCase__		:				Dict    =  finegrained_output
             lowerCamelCase__		:				List[str]    =  hidden_act
             lowerCamelCase__		:				List[str]    =  tf_padding
             lowerCamelCase__		:				List[Any]    =  classifier_dropout_prob
             lowerCamelCase__		:				str    =  initializer_range
             lowerCamelCase__		:				Optional[int]    =  layer_norm_eps
             lowerCamelCase__		:				Any    =  semantic_loss_ignore_index







class 			_lowercase (							lowercase__):


       """simple docstring"""




       A__											=			version.parse("1.11")





       @property
       def 						lowerCAmelCase     (   self							:			Tuple       ):


             '''simple docstring'''



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





       @property
       def 						lowerCAmelCase     (   self							:			List[Any]       ):


             '''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 						lowerCAmelCase     (   self							:			int       ):


             '''simple docstring'''



             return 1E-4






class 			_lowercase :  # Public class to implement a graph


       """simple docstring"""




       def __init__(   self							:			Dict					,      __lowerCamelCase							:			int					,      __lowerCamelCase							:			int					,      __lowerCamelCase							:			list[list[bool]]       ):


             '''simple docstring'''



             lowerCamelCase__		:				int    =  row
             lowerCamelCase__		:				Optional[Any]    =  col
             lowerCamelCase__		:				Union[str, Any]    =  graph





       def 						lowerCAmelCase     (   self							:			Optional[int]					,      __lowerCamelCase							:			int					,      __lowerCamelCase							:			int					,      __lowerCamelCase							:			list[list[bool]]       ):


             '''simple docstring'''



             return (
                 0 <= i < self.ROW
                 and 0 <= j < self.COL
                 and not visited[i][j]
                 and self.graph[i][j]
             )





       def 						lowerCAmelCase     (   self							:			Dict					,      __lowerCamelCase							:			int					,      __lowerCamelCase							:			int					,      __lowerCamelCase							:			list[list[bool]]       ):


             '''simple docstring'''



             lowerCamelCase__		:				str    =  [-1, -1, -1, 0, 0, 1, 1, 1]  # Coordinate order
             lowerCamelCase__		:				Tuple    =  [-1, 0, 1, -1, 1, -1, 0, 1]
             lowerCamelCase__		:				List[Any]    =  True  # Make those cells visited
             for k in range(8       ):
                   if self.is_safe(i + row_nbr[k]					,      j + col_nbr[k]					,      __lowerCamelCase       ):
                         self.diffs(i + row_nbr[k]					,      j + col_nbr[k]					,      __lowerCamelCase       )





       def 						lowerCAmelCase     (   self							:			List[Any]       ):  # And finally, count all islands.


             '''simple docstring'''



             lowerCamelCase__		:				List[Any]    =  [[False for j in range(self.COL       )] for i in range(self.ROW       )]
             lowerCamelCase__		:				Optional[Any]    =  0
             for i in range(self.ROW       ):
                   for j in range(self.COL       ):
                         if visited[i][j] is False and self.graph[i][j] == 1:
                               self.diffs(__lowerCamelCase					,      __lowerCamelCase					,      __lowerCamelCase       )
                               count += 1
             return count


