'''simple docstring'''





from typing import Any





def       lowerCAmelCase_							(   snake_case_			:					list   ,       snake_case_			:					list   ,       snake_case_			:					dict   ,       snake_case_			:					dict   ,       snake_case_			:					dict   ,       )       -> list:


     '''simple docstring'''




     _validation(
         snake_case_   ,       snake_case_   ,       snake_case_   ,       snake_case_   ,       snake_case_   ,       )
     # Creates data structures and fill initial step
     UpperCAmelCase_			       =  {}
     UpperCAmelCase_			       =  {}
     for state in states_space:
          UpperCAmelCase_			       =  observations_space[0]
          UpperCAmelCase_			       =  (
              initial_probabilities[state] * emission_probabilities[state][observation]
          )
          UpperCAmelCase_			       =  None

     # Fills the data structure with the probabilities of
     # different transitions and pointers to previous states
     for o in range(1   ,       len(snake_case_     )     ):
          UpperCAmelCase_			       =  observations_space[o]
          UpperCAmelCase_			       =  observations_space[o - 1]
          for state in states_space:
               # Calculates the argmax for probability function
               UpperCAmelCase_			       =  ""
               UpperCAmelCase_			       =  -1
               for k_state in states_space:
                    UpperCAmelCase_			       =  (
                        probabilities[(k_state, prior_observation)]
                        * transition_probabilities[k_state][state]
                        * emission_probabilities[state][observation]
                    )
                    if probability > max_probability:
                         UpperCAmelCase_			       =  probability
                         UpperCAmelCase_			       =  k_state

            # Update probabilities and pointers dicts
               UpperCAmelCase_			       =  (
                   probabilities[(arg_max, prior_observation)]
                   * transition_probabilities[arg_max][state]
                   * emission_probabilities[state][observation]
               )

               UpperCAmelCase_			       =  arg_max

    # The final observation
     UpperCAmelCase_			       =  observations_space[len(snake_case_     ) - 1]

     # argmax for given final observation
     UpperCAmelCase_			       =  ""
     UpperCAmelCase_			       =  -1
     for k_state in states_space:
          UpperCAmelCase_			       =  probabilities[(k_state, final_observation)]
          if probability > max_probability:
               UpperCAmelCase_			       =  probability
               UpperCAmelCase_			       =  k_state
     UpperCAmelCase_			       =  arg_max

     # Process pointers backwards
     UpperCAmelCase_			       =  last_state
     UpperCAmelCase_			       =  []
     for o in range(len(snake_case_     ) - 1   ,       -1   ,       -1     ):
          result.append(snake_case_     )
          UpperCAmelCase_			       =  pointers[previous, observations_space[o]]
     result.reverse()

     return result





def       lowerCAmelCase_							(   snake_case_			:					Any   ,       snake_case_			:					Any   ,       snake_case_			:					Any   ,       snake_case_			:					Any   ,       snake_case_			:					Any   ,       )       -> None:


     '''simple docstring'''




     _validate_not_empty(
         snake_case_   ,       snake_case_   ,       snake_case_   ,       snake_case_   ,       snake_case_   ,       )
     _validate_lists(snake_case_   ,       snake_case_     )
     _validate_dicts(
         snake_case_   ,       snake_case_   ,       snake_case_     )





def       lowerCAmelCase_							(   snake_case_			:					Any   ,       snake_case_			:					Any   ,       snake_case_			:					Any   ,       snake_case_			:					Any   ,       snake_case_			:					Any   ,       )       -> None:


     '''simple docstring'''




     if not all(
         [
             observations_space,
             states_space,
             initial_probabilities,
             transition_probabilities,
             emission_probabilities,
         ]     ):
          raise ValueError("There's an empty parameter"     )





def       lowerCAmelCase_							(   snake_case_			:					Any   ,       snake_case_			:					Any     )       -> None:


     '''simple docstring'''




     _validate_list(snake_case_   ,       "observations_space"     )
     _validate_list(snake_case_   ,       "states_space"     )





def       lowerCAmelCase_							(   snake_case_			:					Any   ,       snake_case_			:					str     )       -> None:


     '''simple docstring'''




     if not isinstance(_object   ,       snake_case_     ):
          UpperCAmelCase_			       =  f"""{var_name} must be a list"""
          raise ValueError(snake_case_     )
     else:
          for x in _object:
               if not isinstance(snake_case_   ,       snake_case_     ):
                    UpperCAmelCase_			       =  f"""{var_name} must be a list of strings"""
                    raise ValueError(snake_case_     )





def       lowerCAmelCase_							(   snake_case_			:					Any   ,       snake_case_			:					Any   ,       snake_case_			:					Any   ,       )       -> None:


     '''simple docstring'''




     _validate_dict(snake_case_   ,       "initial_probabilities"   ,       snake_case_     )
     _validate_nested_dict(snake_case_   ,       "transition_probabilities"     )
     _validate_nested_dict(snake_case_   ,       "emission_probabilities"     )





def       lowerCAmelCase_							(   snake_case_			:					Any   ,       snake_case_			:					str     )       -> None:


     '''simple docstring'''




     _validate_dict(_object   ,       snake_case_   ,       snake_case_     )
     for x in _object.values():
          _validate_dict(snake_case_   ,       snake_case_   ,       snake_case_   ,       snake_case_     )





def       lowerCAmelCase_							(   snake_case_			:					Any   ,       snake_case_			:					str   ,       snake_case_			:					type   ,       snake_case_			:					bool = False     )       -> None:


     '''simple docstring'''




     if not isinstance(_object   ,       snake_case_     ):
          UpperCAmelCase_			       =  f"""{var_name} must be a dict"""
          raise ValueError(snake_case_     )
     if not all(isinstance(snake_case_   ,       snake_case_     ) for x in _object     ):
          UpperCAmelCase_			       =  f"""{var_name} all keys must be strings"""
          raise ValueError(snake_case_     )
     if not all(isinstance(snake_case_   ,       snake_case_     ) for x in _object.values()     ):
          UpperCAmelCase_			       =  "nested dictionary " if nested else ""
          UpperCAmelCase_			       =  f"""{var_name} {nested_text}all values must be {value_type.__name__}"""
          raise ValueError(snake_case_     )


if __name__ == "__main__":
    from doctest import testmod

    testmod()








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	 =      {
    """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 	__lowercase					(	__snake_case	):
      UpperCamelCase										=							'''mobilenet_v1'''





      def __init__(		self    :       Any       ,							__lowerCamelCase    :       Union[str, Any]=3       ,							__lowerCamelCase    :       Dict=2_2_4       ,							__lowerCamelCase    :       Union[str, Any]=1.0       ,							__lowerCamelCase    :       Optional[int]=8       ,							__lowerCamelCase    :       Optional[int]="relu6"       ,							__lowerCamelCase    :       Optional[int]=True       ,							__lowerCamelCase    :       List[str]=0.999       ,							__lowerCamelCase    :       Optional[Any]=0.02       ,							__lowerCamelCase    :       str=0.001       ,							**__lowerCamelCase    :       Optional[Any]       ,							)     -> Optional[int]:






         """simple docstring"""







         super().__init__(**__lowerCamelCase							)

         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 	__lowercase					(	__snake_case	):
      UpperCamelCase										=							version.parse('''1.11'''	)





      @property
      def 							_lowercase					(		self    :       Optional[int]							)     -> Mapping[str, Mapping[int, str]]:






         """simple docstring"""







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





      @property
      def 							_lowercase					(		self    :       Union[str, Any]							)     -> 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    :       List[Any]							)     -> float:






         """simple docstring"""







         return 1e-4



