


'''simple docstring'''





from typing import Any


def        a__     (					UpperCamelCase_						:      list,   UpperCamelCase_						:      list,   UpperCamelCase_						:      dict,   UpperCamelCase_						:      dict,   UpperCamelCase_						:      dict,   ):
   _validation(
       UpperCamelCase_,   UpperCamelCase_,   UpperCamelCase_,   UpperCamelCase_,   UpperCamelCase_,   )
   # Creates data structures and fill initial step
   UpperCAmelCase__	:dict      =      {}
   UpperCAmelCase__	:dict      =      {}
   for state in states_space:
      UpperCAmelCase__	:Optional[int]      =      observations_space[0]
      UpperCAmelCase__	:Union[str, Any]      =      (
          initial_probabilities[state] * emission_probabilities[state][observation]
      )
      UpperCAmelCase__	:int      =      None

   # Fills the data structure with the probabilities of
   # different transitions and pointers to previous states
   for o in range(1,   len(UpperCamelCase_						)						):
      UpperCAmelCase__	:str      =      observations_space[o]
      UpperCAmelCase__	:Dict      =      observations_space[o - 1]
      for state in states_space:
         # Calculates the argmax for probability function
         UpperCAmelCase__	:Any      =      ''''''
         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[int]      =      probability
               UpperCAmelCase__	:Optional[int]      =      k_state

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

         UpperCAmelCase__	:Optional[Any]      =      arg_max

    # The final observation
   UpperCAmelCase__	:Tuple      =      observations_space[len(UpperCamelCase_						) - 1]

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

   # Process pointers backwards
   UpperCAmelCase__	:List[str]      =      last_state
   UpperCAmelCase__	:Optional[Any]      =      []
   for o in range(len(UpperCamelCase_						) - 1,   -1,   -1						):
      result.append(UpperCamelCase_						)
      UpperCAmelCase__	:List[Any]      =      pointers[previous, observations_space[o]]
   result.reverse()

   return result


def        a__     (					UpperCamelCase_						:      Any,   UpperCamelCase_						:      Any,   UpperCamelCase_						:      Any,   UpperCamelCase_						:      Any,   UpperCamelCase_						:      Any,   ):
   _validate_not_empty(
       UpperCamelCase_,   UpperCamelCase_,   UpperCamelCase_,   UpperCamelCase_,   UpperCamelCase_,   )
   _validate_lists(UpperCamelCase_,   UpperCamelCase_						)
   _validate_dicts(
       UpperCamelCase_,   UpperCamelCase_,   UpperCamelCase_						)


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


def        a__     (					UpperCamelCase_						:      Any,   UpperCamelCase_						:      Any						):
   _validate_list(UpperCamelCase_,   '''observations_space'''						)
   _validate_list(UpperCamelCase_,   '''states_space'''						)


def        a__     (					UpperCamelCase_						:      Any,   UpperCamelCase_						:      str						):
   if not isinstance(_object,   UpperCamelCase_						):
      UpperCAmelCase__	:Optional[Any]      =      F'''{var_name} must be a list'''
      raise ValueError(UpperCamelCase_						)
   else:
      for x in _object:
         if not isinstance(UpperCamelCase_,   UpperCamelCase_						):
            UpperCAmelCase__	:Union[str, Any]      =      F'''{var_name} must be a list of strings'''
            raise ValueError(UpperCamelCase_						)


def        a__     (					UpperCamelCase_						:      Any,   UpperCamelCase_						:      Any,   UpperCamelCase_						:      Any,   ):
   _validate_dict(UpperCamelCase_,   '''initial_probabilities''',   UpperCamelCase_						)
   _validate_nested_dict(UpperCamelCase_,   '''transition_probabilities'''						)
   _validate_nested_dict(UpperCamelCase_,   '''emission_probabilities'''						)


def        a__     (					UpperCamelCase_						:      Any,   UpperCamelCase_						:      str						):
   _validate_dict(_object,   UpperCamelCase_,   UpperCamelCase_						)
   for x in _object.values():
      _validate_dict(UpperCamelCase_,   UpperCamelCase_,   UpperCamelCase_,   UpperCamelCase_						)


def        a__     (					UpperCamelCase_						:      Any,   UpperCamelCase_						:      str,   UpperCamelCase_						:      type,   UpperCamelCase_						:      bool = False						):
   if not isinstance(_object,   UpperCamelCase_						):
      UpperCAmelCase__	:List[str]      =      F'''{var_name} must be a dict'''
      raise ValueError(UpperCamelCase_						)
   if not all(isinstance(UpperCamelCase_,   UpperCamelCase_						) for x in _object						):
      UpperCAmelCase__	:List[Any]      =      F'''{var_name} all keys must be strings'''
      raise ValueError(UpperCamelCase_						)
   if not all(isinstance(UpperCamelCase_,   UpperCamelCase_						) for x in _object.values()						):
      UpperCAmelCase__	:Tuple      =      '''nested dictionary ''' if nested else ''''''
      UpperCAmelCase__	:List[Any]      =      F'''{var_name} {nested_text}all values must be {value_type.__name__}'''
      raise ValueError(UpperCamelCase_						)


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

    testmod()







'''simple docstring'''





from __future__ import annotations

import unittest

from transformers import is_tf_available
from transformers.testing_utils import require_sentencepiece, require_tf, require_tokenizers, slow


if is_tf_available():
    import numpy as np
    import tensorflow as tf

    from transformers import TFCamembertModel




@require_tf
@require_sentencepiece
@require_tokenizers
class 				UpperCAmelCase			(			unittest.TestCase						):


 @slow
 def        __SCREAMING_SNAKE_CASE					(      self							:	List[str] ):
    UpperCAmelCase__	:List[str]      =      TFCamembertModel.from_pretrained('''jplu/tf-camembert-base''' )

    UpperCAmelCase__	:Optional[Any]      =      tf.convert_to_tensor(
        [[5, 1_2_1, 1_1, 6_6_0, 1_6, 7_3_0, 2_5_5_4_3, 1_1_0, 8_3, 6]]			,       dtype=tf.intaa			,       )  # J'aime le camembert !"

    UpperCAmelCase__	:Any      =      model(__lowerCamelCase )['''last_hidden_state''']
    UpperCAmelCase__	:Dict      =      tf.TensorShape((1, 1_0, 7_6_8) )
    self.assertEqual(output.shape			,       __lowerCamelCase )
    # compare the actual values for a slice.
    UpperCAmelCase__	:Any      =      tf.convert_to_tensor(
        [[[-0.02_54, 0.02_35, 0.10_27], [0.06_06, -0.18_11, -0.04_18], [-0.15_61, -0.11_27, 0.26_87]]]			,       dtype=tf.floataa			,       )
    # camembert = torch.hub.load('pytorch/fairseq', 'camembert.v0')
    # camembert.eval()
    # expected_slice = roberta.model.forward(input_ids)[0][:, :3, :3].detach()

    self.assertTrue(np.allclose(output[:, :3, :3].numpy()			,       expected_slice.numpy()			,       atol=1e-4 ) )



