





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       __lowerCAmelCase					(       _UpperCamelCase   ,    unittest.TestCase      ):


	'''simple docstring'''





	_A													=				BioGptTokenizer
	_A													=				False

	def    snake_case__(						self:						Optional[int]			):
			super().setUp()

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

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

	def    snake_case__(						self:						Union[str, Any],					lowerCamelCase_:						Tuple			):
			lowercase__					:      Optional[int]      =		'lower newer'
			lowercase__					:      List[Any]      =		'lower newer'
			return input_text, output_text

	def    snake_case__(						self:						List[Any]			):
			lowercase__					:      int      =		BioGptTokenizer(self.vocab_file,					self.merges_file			)

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

			lowercase__					:      Optional[Any]      =		tokens + ['<unk>']
			lowercase__					:      List[Any]      =		[14, 15, 20]
			self.assertListEqual(tokenizer.convert_tokens_to_ids(snake_case__			),					snake_case__			)





	@slow
	def    snake_case__(						self:						int			):
			lowercase__					:      str      =		BioGptTokenizer.from_pretrained('microsoft/biogpt'			)

			lowercase__					:      Union[str, Any]      =		tokenizer.encode('sequence builders',					add_special_tokens=snake_case__			)
			lowercase__					:      Dict      =		tokenizer.encode('multi-sequence build',					add_special_tokens=snake_case__			)

			lowercase__					:      List[str]      =		tokenizer.build_inputs_with_special_tokens(snake_case__			)
			lowercase__					:      Tuple      =		tokenizer.build_inputs_with_special_tokens(snake_case__,					snake_case__			)

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





import baseaa


def 							__lowerCAmelCase     (							_UpperCamelCase		:	str						)		->				bytes:
 '''simple docstring'''


 return baseaa.aaaencode(string.encode('utf-8'						)						)


def 							__lowerCAmelCase     (							_UpperCamelCase		:	bytes						)		->				str:
 '''simple docstring'''


 return baseaa.aaadecode(_UpperCamelCase						).decode('utf-8'						)


if __name__ == "__main__":
      import doctest

      doctest.testmod()

