

'''simple docstring'''





from typing import Any






def 							_lowerCAmelCase (      __magic_name__	:    list      ,   __magic_name__	:    list      ,   __magic_name__	:    dict      ,   __magic_name__	:    dict      ,   __magic_name__	:    dict      ,   )							->     list:
						_validation(
						    __snake_case      ,   __snake_case      ,   __snake_case      ,   __snake_case      ,   __snake_case      ,   )
						# Creates data structures and fill initial step
						lowercase   :       dict								={}
						lowercase   :       dict								={}
						for state in states_space:
												lowercase   :       List[Any]								=observations_space[0]
												lowercase   :       str								=(
												    initial_probabilities[state] * emission_probabilities[state][observation]
												)
												lowercase   :       str								=None

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

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

																		lowercase   :       List[str]								=arg_max

    # The final observation
						lowercase   :       str								=observations_space[len(__snake_case	) - 1]

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

						# Process pointers backwards
						lowercase   :       int								=last_state
						lowercase   :       List[str]								=[]
						for o in range(len(__snake_case	) - 1      ,   -1      ,   -1	):
												result.append(__snake_case	)
												lowercase   :       List[str]								=pointers[previous, observations_space[o]]
						result.reverse()

						return result






def 							_lowerCAmelCase (      __magic_name__	:    Any      ,   __magic_name__	:    Any      ,   __magic_name__	:    Any      ,   __magic_name__	:    Any      ,   __magic_name__	:    Any      ,   )							->     None:
						_validate_not_empty(
						    __snake_case      ,   __snake_case      ,   __snake_case      ,   __snake_case      ,   __snake_case      ,   )
						_validate_lists(__snake_case      ,   __snake_case	)
						_validate_dicts(
						    __snake_case      ,   __snake_case      ,   __snake_case	)






def 							_lowerCAmelCase (      __magic_name__	:    Any      ,   __magic_name__	:    Any      ,   __magic_name__	:    Any      ,   __magic_name__	:    Any      ,   __magic_name__	:    Any      ,   )							->     None:


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






def 							_lowerCAmelCase (      __magic_name__	:    Any      ,   __magic_name__	:    Any	)							->     None:
						_validate_list(__snake_case      ,   '''observations_space'''	)
						_validate_list(__snake_case      ,   '''states_space'''	)






def 							_lowerCAmelCase (      __magic_name__	:    Any      ,   __magic_name__	:    str	)							->     None:


						if not isinstance(_object      ,   __snake_case	):
												lowercase   :       Optional[int]								=f'''{var_name} must be a list'''
												raise ValueError(__snake_case	)
						else:
												for x in _object:
																		if not isinstance(__snake_case      ,   __snake_case	):
																								lowercase   :       Any								=f'''{var_name} must be a list of strings'''
																								raise ValueError(__snake_case	)






def 							_lowerCAmelCase (      __magic_name__	:    Any      ,   __magic_name__	:    Any      ,   __magic_name__	:    Any      ,   )							->     None:
						_validate_dict(__snake_case      ,   '''initial_probabilities'''      ,   __snake_case	)
						_validate_nested_dict(__snake_case      ,   '''transition_probabilities'''	)
						_validate_nested_dict(__snake_case      ,   '''emission_probabilities'''	)






def 							_lowerCAmelCase (      __magic_name__	:    Any      ,   __magic_name__	:    str	)							->     None:
						_validate_dict(_object      ,   __snake_case      ,   __snake_case	)
						for x in _object.values():
												_validate_dict(__snake_case      ,   __snake_case      ,   __snake_case      ,   __snake_case	)






def 							_lowerCAmelCase (      __magic_name__	:    Any      ,   __magic_name__	:    str      ,   __magic_name__	:    type      ,   __magic_name__	:    bool = False	)							->     None:


						if not isinstance(_object      ,   __snake_case	):
												lowercase   :       str								=f'''{var_name} must be a dict'''
												raise ValueError(__snake_case	)
						if not all(isinstance(__snake_case      ,   __snake_case	) for x in _object	):
												lowercase   :       List[Any]								=f'''{var_name} all keys must be strings'''
												raise ValueError(__snake_case	)
						if not all(isinstance(__snake_case      ,   __snake_case	) for x in _object.values()	):
												lowercase   :       Optional[int]								="nested dictionary " if nested else ""
												lowercase   :       int								=f'''{var_name} {nested_text}all values must be {value_type.__name__}'''
												raise ValueError(__snake_case	)


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

							testmod()








'''simple docstring'''





import json
import os
import unittest

from transformers.models.biogpt.tokenization_biogpt import VOCAB_FILES_NAMES, BioGptTokenizer
from transformers.testing_utils import slow

from ...test_tokenization_common import TokenizerTesterMixin





class 		__SCREAMING_SNAKE_CASE       ( lowercase__	,       unittest.TestCase			):
				lowerCamelCase_							=						BioGptTokenizer
				lowerCamelCase_							=						False







				def    lowerCamelCase_  (					self    :		Optional[Any]      ):
										'''simple docstring'''
										super().setUp()

										# Adapted from Sennrich et al. 2015 and https://github.com/rsennrich/subword-nmt
										lowercase   :       List[str]								=[
										    '''l''',
										    '''o''',
										    '''w''',
										    '''e''',
										    '''r''',
										    '''s''',
										    '''t''',
										    '''i''',
										    '''d''',
										    '''n''',
										    '''w</w>''',
										    '''r</w>''',
										    '''t</w>''',
										    '''lo''',
										    '''low''',
										    '''er</w>''',
										    '''low</w>''',
										    '''lowest</w>''',
										    '''newer</w>''',
										    '''wider</w>''',
										    '''<unk>''',
										]
										lowercase   :       Any								=dict(zip(UpperCAmelCase__		,				range(len(UpperCAmelCase__      )      )      )      )
										lowercase   :       Union[str, Any]								=['''l o 123''', '''lo w 1456''', '''e r</w> 1789''', '''''']

										lowercase   :       Optional[int]								=os.path.join(self.tmpdirname		,				VOCAB_FILES_NAMES['''vocab_file''']      )
										lowercase   :       Union[str, Any]								=os.path.join(self.tmpdirname		,				VOCAB_FILES_NAMES['''merges_file''']      )
										with open(self.vocab_file		,				'''w'''      ) as fp:
																fp.write(json.dumps(UpperCAmelCase__      )      )
										with open(self.merges_file		,				'''w'''      ) as fp:
																fp.write('''\n'''.join(UpperCAmelCase__      )      )







				def    lowerCamelCase_  (					self    :		List[Any]		,				UpperCAmelCase__    :		Union[str, Any]      ):
										'''simple docstring'''
										lowercase   :       Dict								='''lower newer'''
										lowercase   :       str								='''lower newer'''
										return input_text, output_text







				def    lowerCamelCase_  (					self    :		List[Any]      ):
										'''simple docstring'''
										lowercase   :       List[Any]								=BioGptTokenizer(self.vocab_file		,				self.merges_file      )

										lowercase   :       Any								='''lower'''
										lowercase   :       int								=['''low''', '''er</w>''']
										lowercase   :       Optional[Any]								=tokenizer.tokenize(UpperCAmelCase__      )
										self.assertListEqual(UpperCAmelCase__		,				UpperCAmelCase__      )

										lowercase   :       Optional[int]								=tokens + ['''<unk>''']
										lowercase   :       Any								=[14, 15, 20]
										self.assertListEqual(tokenizer.convert_tokens_to_ids(UpperCAmelCase__      )		,				UpperCAmelCase__      )







				@slow
				def    lowerCamelCase_  (					self    :		int      ):
										'''simple docstring'''
										lowercase   :       Dict								=BioGptTokenizer.from_pretrained('''microsoft/biogpt'''      )

										lowercase   :       List[str]								=tokenizer.encode('''sequence builders'''		,				add_special_tokens=UpperCAmelCase__      )
										lowercase   :       Optional[int]								=tokenizer.encode('''multi-sequence build'''		,				add_special_tokens=UpperCAmelCase__      )

										lowercase   :       str								=tokenizer.build_inputs_with_special_tokens(UpperCAmelCase__      )
										lowercase   :       Optional[Any]								=tokenizer.build_inputs_with_special_tokens(UpperCAmelCase__		,				UpperCAmelCase__      )

										self.assertTrue(encoded_sentence == [2] + text      )
										self.assertTrue(encoded_pair == [2] + text + [2] + text_a      )





