


from typing import Any





def __UpperCAmelCase       (		__A ,						__A ,						__A ,						__A ,						__A ,						)						->					list:



							'''simple docstring'''





							_validation(
							    __A ,						__A ,						__A ,						__A ,						__A ,						)
							# 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(__A			)			):
														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(__A			) - 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(__A			) - 1 ,						-1 ,						-1			):
														result.append(__A			)
														UpperCAmelCase__										=     pointers[previous, observations_space[o]]
							result.reverse()

							return result





def __UpperCAmelCase       (		__A ,						__A ,						__A ,						__A ,						__A ,						)						->					None:



							'''simple docstring'''





							_validate_not_empty(
							    __A ,						__A ,						__A ,						__A ,						__A ,						)
							_validate_lists(__A ,						__A			)
							_validate_dicts(
							    __A ,						__A ,						__A			)





def __UpperCAmelCase       (		__A ,						__A ,						__A ,						__A ,						__A ,						)						->					None:



							'''simple docstring'''





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





def __UpperCAmelCase       (		__A ,						__A			)						->					None:



							'''simple docstring'''





							_validate_list(__A ,						"observations_space"			)
							_validate_list(__A ,						"states_space"			)





def __UpperCAmelCase       (		__A ,						__A			)						->					None:



							'''simple docstring'''





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





def __UpperCAmelCase       (		__A ,						__A ,						__A ,						)						->					None:



							'''simple docstring'''





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





def __UpperCAmelCase       (		__A ,						__A			)						->					None:



							'''simple docstring'''





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





def __UpperCAmelCase       (		__A ,						__A ,						__A ,						__A = False			)						->					None:



							'''simple docstring'''





							if not isinstance(_object ,						__A			):
														UpperCAmelCase__										=     F"""{var_name} must be a dict"""
														raise ValueError(__A			)
							if not all(isinstance(__A ,						__A			) for x in _object			):
														UpperCAmelCase__										=     F"""{var_name} all keys must be strings"""
														raise ValueError(__A			)
							if not all(isinstance(__A ,						__A			) 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(__A			)


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

				testmod()









import os
import unittest

from transformers.models.bartpho.tokenization_bartpho import VOCAB_FILES_NAMES, BartphoTokenizer
from transformers.testing_utils import get_tests_dir

from ...test_tokenization_common import TokenizerTesterMixin


A      = get_tests_dir("fixtures/test_sentencepiece_bpe.model")


class     lowercase__  (					__SCREAMING_SNAKE_CASE					,							unittest.TestCase		):
  A__=  BartphoTokenizer
  A__=  False
  A__=  True






  def 			_UpperCAmelCase  (					self      :					Dict ):




         """simple docstring"""







         super().setUp()

         UpperCAmelCase__										=     ["▁This", "▁is", "▁a", "▁t", "est"]
         UpperCAmelCase__										=     dict(zip(_lowercase		,						range(len(_lowercase ) ) ) )
         UpperCAmelCase__										=     {"unk_token": "<unk>"}

         UpperCAmelCase__										=     os.path.join(self.tmpdirname		,						VOCAB_FILES_NAMES["monolingual_vocab_file"] )
         with open(self.monolingual_vocab_file		,						"w"		,						encoding="utf-8" ) as fp:
                for token in vocab_tokens:
                       fp.write(F"""{token} {vocab_tokens[token]}\n""" )

         UpperCAmelCase__										=     BartphoTokenizer(_lowercase		,						self.monolingual_vocab_file		,						**self.special_tokens_map )
         tokenizer.save_pretrained(self.tmpdirname )






  def 			_UpperCAmelCase  (					self      :					Dict		,						**_lowercase      :					Optional[Any] ):




         """simple docstring"""







         kwargs.update(self.special_tokens_map )
         return BartphoTokenizer.from_pretrained(self.tmpdirname		,						**_lowercase )






  def 			_UpperCAmelCase  (					self      :					List[Any]		,						_lowercase      :					Union[str, Any] ):




         """simple docstring"""







         UpperCAmelCase__										=     "This is a là test"
         UpperCAmelCase__										=     "This is a<unk><unk> test"
         return input_text, output_text






  def 			_UpperCAmelCase  (					self      :					Optional[Any] ):




         """simple docstring"""







         UpperCAmelCase__										=     BartphoTokenizer(_lowercase		,						self.monolingual_vocab_file		,						**self.special_tokens_map )
         UpperCAmelCase__										=     "This is a là test"
         UpperCAmelCase__										=     "▁This ▁is ▁a ▁l à ▁t est".split()
         UpperCAmelCase__										=     tokenizer.tokenize(_lowercase )
         self.assertListEqual(_lowercase		,						_lowercase )

         UpperCAmelCase__										=     tokens + [tokenizer.unk_token]
         UpperCAmelCase__										=     [4, 5, 6, 3, 3, 7, 8, 3]
         self.assertListEqual(tokenizer.convert_tokens_to_ids(_lowercase )		,						_lowercase )





