






"""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 						snake_case  (  UpperCAmelCase       ,			unittest.TestCase	):
				__magic_name__   					=					BioGptTokenizer
				__magic_name__   					=					False





				def     lowerCamelCase__				(							self     : str      ):


						'''simple docstring'''




						super().setUp()

						# Adapted from Sennrich et al. 2015 and https://github.com/rsennrich/subword-nmt
						a					:      Dict    =       [
						    '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>',
						]
						a					:      int    =       dict(zip(A    ,		range(len(A      )      )      )      )
						a					:      int    =       ['l o 123', 'lo w 1456', 'e r</w> 1789', '']

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





				def     lowerCamelCase__				(							self     : int    ,		A     : Optional[Any]      ):


						'''simple docstring'''




						a					:      Optional[int]    =       'lower newer'
						a					:      List[Any]    =       'lower newer'
						return input_text, output_text





				def     lowerCamelCase__				(							self     : Optional[Any]      ):


						'''simple docstring'''




						a					:      List[Any]    =       BioGptTokenizer(self.vocab_file    ,		self.merges_file      )

						a					:      int    =       'lower'
						a					:      Union[str, Any]    =       ['low', 'er</w>']
						a					:      List[str]    =       tokenizer.tokenize(A      )
						self.assertListEqual(A    ,		A      )

						a					:      List[str]    =       tokens + ['<unk>']
						a					:      Dict    =       [1_4, 1_5, 2_0]
						self.assertListEqual(tokenizer.convert_tokens_to_ids(A      )    ,		A      )





				@slow
				def     lowerCamelCase__				(							self     : List[Any]      ):


						'''simple docstring'''




						a					:      Tuple    =       BioGptTokenizer.from_pretrained('microsoft/biogpt'      )

						a					:      Any    =       tokenizer.encode('sequence builders'    ,		add_special_tokens=A      )
						a					:      List[str]    =       tokenizer.encode('multi-sequence build'    ,		add_special_tokens=A      )

						a					:      List[str]    =       tokenizer.build_inputs_with_special_tokens(A      )
						a					:      str    =       tokenizer.build_inputs_with_special_tokens(A    ,		A      )

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












"""simple docstring"""


from .glue import glue_convert_examples_to_features, glue_output_modes, glue_processors, glue_tasks_num_labels
from .squad import SquadExample, SquadFeatures, SquadVaProcessor, SquadVaProcessor, squad_convert_examples_to_features
from .utils import DataProcessor, InputExample, InputFeatures, SingleSentenceClassificationProcessor
from .xnli import xnli_output_modes, xnli_processors, xnli_tasks_num_labels




