


'''simple docstring'''


from typing import Any






def        __lowerCAmelCase       (__lowerCAmelCase					,       __lowerCAmelCase					,       __lowerCAmelCase					,       __lowerCAmelCase					,       __lowerCAmelCase					,       ):
		_validation(
		    _lowerCAmelCase					,       _lowerCAmelCase					,       _lowerCAmelCase					,       _lowerCAmelCase					,       _lowerCAmelCase					,       )
		# Creates data structures and fill initial step
		_UpperCAmelCase						:				dict	    =					{}
		_UpperCAmelCase						:				dict	    =					{}
		for state in states_space:
				_UpperCAmelCase						:				Union[str, Any]	    =					observations_space[0]
				_UpperCAmelCase						:				int	    =					(
				    initial_probabilities[state] * emission_probabilities[state][observation]
				)
				_UpperCAmelCase						:				List[Any]	    =					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						:				Optional[int]	    =					observations_space[o - 1]
				for state in states_space:
						# Calculates the argmax for probability function
						_UpperCAmelCase						:				Union[str, Any]	    =					''
						_UpperCAmelCase						:				List[Any]	    =					-1
						for k_state in states_space:
								_UpperCAmelCase						:				str	    =					(
								    probabilities[(k_state, prior_observation)]
								    * transition_probabilities[k_state][state]
								    * emission_probabilities[state][observation]
								)
								if probability > max_probability:
										_UpperCAmelCase						:				Optional[int]	    =					probability
										_UpperCAmelCase						:				List[str]	    =					k_state

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

						_UpperCAmelCase						:				Any	    =					arg_max

				# The final observation
		_UpperCAmelCase						:				Union[str, Any]	    =					observations_space[len(_lowerCAmelCase      ) - 1]

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

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

		return result






def        __lowerCAmelCase       (__lowerCAmelCase					,       __lowerCAmelCase					,       __lowerCAmelCase					,       __lowerCAmelCase					,       __lowerCAmelCase					,       ):
		_validate_not_empty(
		    _lowerCAmelCase					,       _lowerCAmelCase					,       _lowerCAmelCase					,       _lowerCAmelCase					,       _lowerCAmelCase					,       )
		_validate_lists(_lowerCAmelCase					,       _lowerCAmelCase      )
		_validate_dicts(
		    _lowerCAmelCase					,       _lowerCAmelCase					,       _lowerCAmelCase      )






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






def        __lowerCAmelCase       (__lowerCAmelCase					,       __lowerCAmelCase      ):
		_validate_list(_lowerCAmelCase					,       "observations_space"      )
		_validate_list(_lowerCAmelCase					,       "states_space"      )






def        __lowerCAmelCase       (__lowerCAmelCase					,       __lowerCAmelCase      ):
		if not isinstance(_object					,       _lowerCAmelCase      ):
				_UpperCAmelCase						:				Optional[Any]	    =					F"""{var_name} must be a list"""
				raise ValueError(_lowerCAmelCase      )
		else:
				for x in _object:
						if not isinstance(_lowerCAmelCase					,       _lowerCAmelCase      ):
								_UpperCAmelCase						:				Tuple	    =					F"""{var_name} must be a list of strings"""
								raise ValueError(_lowerCAmelCase      )






def        __lowerCAmelCase       (__lowerCAmelCase					,       __lowerCAmelCase					,       __lowerCAmelCase					,       ):
		_validate_dict(_lowerCAmelCase					,       "initial_probabilities"					,       _lowerCAmelCase      )
		_validate_nested_dict(_lowerCAmelCase					,       "transition_probabilities"      )
		_validate_nested_dict(_lowerCAmelCase					,       "emission_probabilities"      )






def        __lowerCAmelCase       (__lowerCAmelCase					,       __lowerCAmelCase      ):
		_validate_dict(_object					,       _lowerCAmelCase					,       _lowerCAmelCase      )
		for x in _object.values():
				_validate_dict(_lowerCAmelCase					,       _lowerCAmelCase					,       _lowerCAmelCase					,       _lowerCAmelCase      )






def        __lowerCAmelCase       (__lowerCAmelCase					,       __lowerCAmelCase					,       __lowerCAmelCase					,       __lowerCAmelCase = False      ):
		if not isinstance(_object					,       _lowerCAmelCase      ):
				_UpperCAmelCase						:				List[str]	    =					F"""{var_name} must be a dict"""
				raise ValueError(_lowerCAmelCase      )
		if not all(isinstance(_lowerCAmelCase					,       _lowerCAmelCase      ) for x in _object      ):
				_UpperCAmelCase						:				Dict	    =					F"""{var_name} all keys must be strings"""
				raise ValueError(_lowerCAmelCase      )
		if not all(isinstance(_lowerCAmelCase					,       _lowerCAmelCase      ) for x in _object.values()      ):
				_UpperCAmelCase						:				str	    =					'nested dictionary ' if nested else ''
				_UpperCAmelCase						:				Dict	    =					F"""{var_name} {nested_text}all values must be {value_type.__name__}"""
				raise ValueError(_lowerCAmelCase      )


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

						testmod()








'''simple docstring'''





from collections import OrderedDict
from typing import Mapping

from ...configuration_utils import PretrainedConfig
from ...onnx import OnnxConfig
from ...utils import logging


_UpperCamelCase											=						logging.get_logger(__name__)

_UpperCamelCase											=						{
    'xlm-roberta-base': 'https://huggingface.co/xlm-roberta-base/resolve/main/config.json',
    'xlm-roberta-large': 'https://huggingface.co/xlm-roberta-large/resolve/main/config.json',
    'xlm-roberta-large-finetuned-conll02-dutch': (
        'https://huggingface.co/xlm-roberta-large-finetuned-conll02-dutch/resolve/main/config.json'
    ),
    'xlm-roberta-large-finetuned-conll02-spanish': (
        'https://huggingface.co/xlm-roberta-large-finetuned-conll02-spanish/resolve/main/config.json'
    ),
    'xlm-roberta-large-finetuned-conll03-english': (
        'https://huggingface.co/xlm-roberta-large-finetuned-conll03-english/resolve/main/config.json'
    ),
    'xlm-roberta-large-finetuned-conll03-german': (
        'https://huggingface.co/xlm-roberta-large-finetuned-conll03-german/resolve/main/config.json'
    ),
}






class 					lowerCamelCase_    (				SCREAMING_SNAKE_CASE_     ):
  """simple docstring"""




  a_												="""xlm-roberta"""




  def __init__( self      :	Any			,	_a      :	Optional[Any]=3_0522			,	_a      :	Optional[Any]=768			,	_a      :	int=12			,	_a      :	Tuple=12			,	_a      :	str=3072			,	_a      :	List[Any]="gelu"			,	_a      :	int=0.1			,	_a      :	Optional[int]=0.1			,	_a      :	Optional[int]=512			,	_a      :	List[Any]=2			,	_a      :	Optional[Any]=0.02			,	_a      :	str=1e-12			,	_a      :	str=1			,	_a      :	str=0			,	_a      :	Optional[Any]=2			,	_a      :	Optional[int]="absolute"			,	_a      :	int=True			,	_a      :	Tuple=None			,	**_a      :	Any			,	)					->					Dict:
    super().__init__(pad_token_id=_a			,	bos_token_id=_a			,	eos_token_id=_a			,	**_a   )

    __lowerCamelCase       :       int           = vocab_size
    __lowerCamelCase       :       Union[str, Any]           = hidden_size
    __lowerCamelCase       :       int           = num_hidden_layers
    __lowerCamelCase       :       Optional[int]           = num_attention_heads
    __lowerCamelCase       :       List[str]           = hidden_act
    __lowerCamelCase       :       Any           = intermediate_size
    __lowerCamelCase       :       int           = hidden_dropout_prob
    __lowerCamelCase       :       List[Any]           = attention_probs_dropout_prob
    __lowerCamelCase       :       Optional[int]           = max_position_embeddings
    __lowerCamelCase       :       Tuple           = type_vocab_size
    __lowerCamelCase       :       Optional[int]           = initializer_range
    __lowerCamelCase       :       Optional[int]           = layer_norm_eps
    __lowerCamelCase       :       str           = position_embedding_type
    __lowerCamelCase       :       List[Any]           = use_cache
    __lowerCamelCase       :       int           = classifier_dropout






class 					lowerCamelCase_    (				SCREAMING_SNAKE_CASE_     ):
  """simple docstring"""




  @property
  def 						_lowercase     ( self      :	Optional[Any]   )					->					Mapping[str, Mapping[int, str]]:
    if self.task == "multiple-choice":
      __lowerCamelCase       :       int           = {0: 'batch', 1: 'choice', 2: 'sequence'}
    else:
      __lowerCamelCase       :       Any           = {0: 'batch', 1: 'sequence'}
    return OrderedDict(
        [
            ('input_ids', dynamic_axis),
            ('attention_mask', dynamic_axis),
        ]   )






