

from typing import Any

def 							__SCREAMING_SNAKE_CASE							(				lowerCAmelCase:  list  ,      lowerCAmelCase:  list  ,      lowerCAmelCase:  dict  ,      lowerCAmelCase:  dict  ,      lowerCAmelCase:  dict  ,      )   ->       list:
				_validation(
				    lowerCAmelCase  ,      lowerCAmelCase  ,      lowerCAmelCase  ,      lowerCAmelCase  ,      lowerCAmelCase  ,      )
				# Creates data structures and fill initial step
				_UpperCAmelCase       :		dict 		=    {}
				_UpperCAmelCase       :		dict 		=    {}
				for state in states_space:
								_UpperCAmelCase       :		List[str] 		=    observations_space[0]
								_UpperCAmelCase       :		int 		=    (
								    initial_probabilities[state] * emission_probabilities[state][observation]
								)
								_UpperCAmelCase       :		Dict 		=    None

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

            # Update probabilities and pointers dicts
												_UpperCAmelCase       :		Union[str, Any] 		=    (
												    probabilities[(arg_max, prior_observation)]
												    * transition_probabilities[arg_max][state]
												    * emission_probabilities[state][observation]
												)

												_UpperCAmelCase       :		List[str] 		=    arg_max

    # The final observation
				_UpperCAmelCase       :		Tuple 		=    observations_space[len(lowerCAmelCase ) - 1]

				# argmax for given final observation
				_UpperCAmelCase       :		Optional[Any] 		=    ""
				_UpperCAmelCase       :		Dict 		=    -1
				for k_state in states_space:
								_UpperCAmelCase       :		Optional[int] 		=    probabilities[(k_state, final_observation)]
								if probability > max_probability:
												_UpperCAmelCase       :		Tuple 		=    probability
												_UpperCAmelCase       :		Tuple 		=    k_state
				_UpperCAmelCase       :		Union[str, Any] 		=    arg_max

				# Process pointers backwards
				_UpperCAmelCase       :		Optional[Any] 		=    last_state
				_UpperCAmelCase       :		int 		=    []
				for o in range(len(lowerCAmelCase ) - 1  ,      -1  ,      -1 ):
								result.append(lowerCAmelCase )
								_UpperCAmelCase       :		Optional[int] 		=    pointers[previous, observations_space[o]]
				result.reverse()

				return result

def 							__SCREAMING_SNAKE_CASE							(				lowerCAmelCase:  Any  ,      lowerCAmelCase:  Any  ,      lowerCAmelCase:  Any  ,      lowerCAmelCase:  Any  ,      lowerCAmelCase:  Any  ,      )   ->       None:
				_validate_not_empty(
				    lowerCAmelCase  ,      lowerCAmelCase  ,      lowerCAmelCase  ,      lowerCAmelCase  ,      lowerCAmelCase  ,      )
				_validate_lists(lowerCAmelCase  ,      lowerCAmelCase )
				_validate_dicts(
				    lowerCAmelCase  ,      lowerCAmelCase  ,      lowerCAmelCase )

def 							__SCREAMING_SNAKE_CASE							(				lowerCAmelCase:  Any  ,      lowerCAmelCase:  Any  ,      lowerCAmelCase:  Any  ,      lowerCAmelCase:  Any  ,      lowerCAmelCase:  Any  ,      )   ->       None:
				if not all(
				    [
				        observations_space,
				        states_space,
				        initial_probabilities,
				        transition_probabilities,
				        emission_probabilities,
				    ] ):
								raise ValueError("There's an empty parameter" )

def 							__SCREAMING_SNAKE_CASE							(				lowerCAmelCase:  Any  ,      lowerCAmelCase:  Any )   ->       None:
				_validate_list(lowerCAmelCase  ,      "observations_space" )
				_validate_list(lowerCAmelCase  ,      "states_space" )

def 							__SCREAMING_SNAKE_CASE							(				lowerCAmelCase:  Any  ,      lowerCAmelCase:  str )   ->       None:
				if not isinstance(_object  ,      lowerCAmelCase ):
								_UpperCAmelCase       :		str 		=    F'{var_name} must be a list'
								raise ValueError(lowerCAmelCase )
				else:
								for x in _object:
												if not isinstance(lowerCAmelCase  ,      lowerCAmelCase ):
																_UpperCAmelCase       :		str 		=    F'{var_name} must be a list of strings'
																raise ValueError(lowerCAmelCase )

def 							__SCREAMING_SNAKE_CASE							(				lowerCAmelCase:  Any  ,      lowerCAmelCase:  Any  ,      lowerCAmelCase:  Any  ,      )   ->       None:
				_validate_dict(lowerCAmelCase  ,      "initial_probabilities"  ,      lowerCAmelCase )
				_validate_nested_dict(lowerCAmelCase  ,      "transition_probabilities" )
				_validate_nested_dict(lowerCAmelCase  ,      "emission_probabilities" )

def 							__SCREAMING_SNAKE_CASE							(				lowerCAmelCase:  Any  ,      lowerCAmelCase:  str )   ->       None:
				_validate_dict(_object  ,      lowerCAmelCase  ,      lowerCAmelCase )
				for x in _object.values():
								_validate_dict(lowerCAmelCase  ,      lowerCAmelCase  ,      lowerCAmelCase  ,      lowerCAmelCase )

def 							__SCREAMING_SNAKE_CASE							(				lowerCAmelCase:  Any  ,      lowerCAmelCase:  str  ,      lowerCAmelCase:  type  ,      lowerCAmelCase:  bool = False )   ->       None:
				if not isinstance(_object  ,      lowerCAmelCase ):
								_UpperCAmelCase       :		Union[str, Any] 		=    F'{var_name} must be a dict'
								raise ValueError(lowerCAmelCase )
				if not all(isinstance(lowerCAmelCase  ,      lowerCAmelCase ) for x in _object ):
								_UpperCAmelCase       :		Tuple 		=    F'{var_name} all keys must be strings'
								raise ValueError(lowerCAmelCase )
				if not all(isinstance(lowerCAmelCase  ,      lowerCAmelCase ) for x in _object.values() ):
								_UpperCAmelCase       :		int 		=    "nested dictionary " if nested else ""
								_UpperCAmelCase       :		Optional[Any] 		=    F'{var_name} {nested_text}all values must be {value_type.__name__}'
								raise ValueError(lowerCAmelCase )


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

					testmod()





from ...configuration_utils import PretrainedConfig
from ...utils import logging


SCREAMING_SNAKE_CASE_        =      logging.get_logger(__name__)

SCREAMING_SNAKE_CASE_        =      {
    'facebook/timesformer': 'https://huggingface.co/facebook/timesformer/resolve/main/config.json',
}

class 				a  (	UpperCAmelCase				):
						_lowercase    						=			"timesformer"


						def __init__(       self						,					A_=224						,					A_=16						,					A_=3						,					A_=8						,					A_=768						,					A_=12						,					A_=12						,					A_=3072						,					A_="gelu"						,					A_=0.0						,					A_=0.0						,					A_=0.02						,					A_=1e-6						,					A_=True						,					A_="divided_space_time"						,					A_=0						,					**A_						,					):







										'''simple docstring'''


										super().__init__(**A_	)

										_UpperCAmelCase       :		Union[str, Any] 		=    image_size
										_UpperCAmelCase       :		Tuple 		=    patch_size
										_UpperCAmelCase       :		Any 		=    num_channels
										_UpperCAmelCase       :		List[Any] 		=    num_frames

										_UpperCAmelCase       :		str 		=    hidden_size
										_UpperCAmelCase       :		Any 		=    num_hidden_layers
										_UpperCAmelCase       :		Dict 		=    num_attention_heads
										_UpperCAmelCase       :		Optional[int] 		=    intermediate_size
										_UpperCAmelCase       :		Union[str, Any] 		=    hidden_act
										_UpperCAmelCase       :		Optional[Any] 		=    hidden_dropout_prob
										_UpperCAmelCase       :		Tuple 		=    attention_probs_dropout_prob
										_UpperCAmelCase       :		Union[str, Any] 		=    initializer_range
										_UpperCAmelCase       :		Optional[Any] 		=    layer_norm_eps
										_UpperCAmelCase       :		str 		=    qkv_bias

										_UpperCAmelCase       :		Tuple 		=    attention_type
										_UpperCAmelCase       :		List[Any] 		=    drop_path_rate


