"""simple docstring"""


from typing import Any






def 			__UpperCAmelCase    (	lowercase      ,lowercase      ,lowercase      ,lowercase      ,lowercase      ,):







  """simple docstring"""
  _validation(
      lowercase      ,lowercase      ,lowercase      ,lowercase      ,lowercase      ,)
  # 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(lowercase						)						):
    _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(lowercase						) - 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(lowercase						) - 1      ,-1      ,-1						):
    result.append(lowercase						)
    _UpperCAmelCase         =					pointers[previous, observations_space[o]]
  result.reverse()

  return result






def 			__UpperCAmelCase    (	lowercase      ,lowercase      ,lowercase      ,lowercase      ,lowercase      ,):







  """simple docstring"""
  _validate_not_empty(
      lowercase      ,lowercase      ,lowercase      ,lowercase      ,lowercase      ,)
  _validate_lists(lowercase      ,lowercase						)
  _validate_dicts(
      lowercase      ,lowercase      ,lowercase						)






def 			__UpperCAmelCase    (	lowercase      ,lowercase      ,lowercase      ,lowercase      ,lowercase      ,):







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






def 			__UpperCAmelCase    (	lowercase      ,lowercase						):







  """simple docstring"""
  _validate_list(lowercase      ,"""observations_space"""						)
  _validate_list(lowercase      ,"""states_space"""						)






def 			__UpperCAmelCase    (	lowercase      ,lowercase						):







  """simple docstring"""
  if not isinstance(_object      ,lowercase						):
    _UpperCAmelCase         =					f'''{var_name} must be a list'''
    raise ValueError(lowercase						)
  else:
    for x in _object:
      if not isinstance(lowercase      ,lowercase						):
        _UpperCAmelCase         =					f'''{var_name} must be a list of strings'''
        raise ValueError(lowercase						)






def 			__UpperCAmelCase    (	lowercase      ,lowercase      ,lowercase      ,):







  """simple docstring"""
  _validate_dict(lowercase      ,"""initial_probabilities"""      ,lowercase						)
  _validate_nested_dict(lowercase      ,"""transition_probabilities"""						)
  _validate_nested_dict(lowercase      ,"""emission_probabilities"""						)






def 			__UpperCAmelCase    (	lowercase      ,lowercase						):







  """simple docstring"""
  _validate_dict(_object      ,lowercase      ,lowercase						)
  for x in _object.values():
    _validate_dict(lowercase      ,lowercase      ,lowercase      ,lowercase						)






def 			__UpperCAmelCase    (	lowercase      ,lowercase      ,lowercase      ,lowercase = False						):







  """simple docstring"""
  if not isinstance(_object      ,lowercase						):
    _UpperCAmelCase         =					f'''{var_name} must be a dict'''
    raise ValueError(lowercase						)
  if not all(isinstance(lowercase      ,lowercase						) for x in _object						):
    _UpperCAmelCase         =					f'''{var_name} all keys must be strings'''
    raise ValueError(lowercase						)
  if not all(isinstance(lowercase      ,lowercase						) 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(lowercase						)


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

    testmod()

"""simple docstring"""


from collections import OrderedDict
from typing import List, 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/efficientnet-b7""": """https://huggingface.co/google/efficientnet-b7/resolve/main/config.json""",
}


class 				a (						lowerCAmelCase_      ):
    _snake_case   :     Any   							=							'efficientnet'


    def __init__(    self		:     Any      , __lowerCAmelCase		:     int = 3      , __lowerCAmelCase		:     int = 600      , __lowerCAmelCase		:     float = 2.0      , __lowerCAmelCase		:     float = 3.1      , __lowerCAmelCase		:     int = 8      , __lowerCAmelCase		:     List[int] = [3, 3, 5, 3, 5, 5, 3]      , __lowerCAmelCase		:     List[int] = [32, 16, 24, 40, 80, 112, 192]      , __lowerCAmelCase		:     List[int] = [16, 24, 40, 80, 112, 192, 320]      , __lowerCAmelCase		:     List[int] = []      , __lowerCAmelCase		:     List[int] = [1, 2, 2, 2, 1, 2, 1]      , __lowerCAmelCase		:     List[int] = [1, 2, 2, 3, 3, 4, 1]      , __lowerCAmelCase		:     List[int] = [1, 6, 6, 6, 6, 6, 6]      , __lowerCAmelCase		:     float = 0.25      , __lowerCAmelCase		:     str = "swish"      , __lowerCAmelCase		:     int = 2560      , __lowerCAmelCase		:     str = "mean"      , __lowerCAmelCase		:     float = 0.02      , __lowerCAmelCase		:     float = 0.001      , __lowerCAmelCase		:     float = 0.99      , __lowerCAmelCase		:     float = 0.5      , __lowerCAmelCase		:     float = 0.2      , **__lowerCAmelCase		:     List[Any]      , ):
      super().__init__(**__lowerCAmelCase    )

      _UpperCAmelCase         =					num_channels
      _UpperCAmelCase         =					image_size
      _UpperCAmelCase         =					width_coefficient
      _UpperCAmelCase         =					depth_coefficient
      _UpperCAmelCase         =					depth_divisor
      _UpperCAmelCase         =					kernel_sizes
      _UpperCAmelCase         =					in_channels
      _UpperCAmelCase         =					out_channels
      _UpperCAmelCase         =					depthwise_padding
      _UpperCAmelCase         =					strides
      _UpperCAmelCase         =					num_block_repeats
      _UpperCAmelCase         =					expand_ratios
      _UpperCAmelCase         =					squeeze_expansion_ratio
      _UpperCAmelCase         =					hidden_act
      _UpperCAmelCase         =					hidden_dim
      _UpperCAmelCase         =					pooling_type
      _UpperCAmelCase         =					initializer_range
      _UpperCAmelCase         =					batch_norm_eps
      _UpperCAmelCase         =					batch_norm_momentum
      _UpperCAmelCase         =					dropout_rate
      _UpperCAmelCase         =					drop_connect_rate
      _UpperCAmelCase         =					sum(__lowerCAmelCase    ) * 4



class 				a (						lowerCAmelCase_      ):
    _snake_case   :     Dict   							=							version.parse('1.11'      )


    @property
    def    lowerCAmelCase_     (    self		:     Any    ):
      return OrderedDict(
          [
              ("""pixel_values""", {0: """batch""", 1: """num_channels""", 2: """height""", 3: """width"""}),
          ]    )


    @property
    def    lowerCAmelCase_     (    self		:     int    ):
      return 1e-5
