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 						lowercase    (     a				,       unittest.TestCase     ):
							lowercase__						:       List[Any]								=							BioGptTokenizer
							lowercase__						:       Any								=							False




							def 	__snake_case(						self   :					Optional[Any]      )					->				int:



												'''simple docstring'''

												super().setUp()

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

												SCREAMING_SNAKE_CASE    			=       os.path.join(self.tmpdirname	,							VOCAB_FILES_NAMES["vocab_file"]      )
												SCREAMING_SNAKE_CASE    			=       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 	__snake_case(						self   :					List[str]	,							_UpperCamelCase   :					Any      )					->				int:



												'''simple docstring'''

												SCREAMING_SNAKE_CASE    			=       "lower newer"
												SCREAMING_SNAKE_CASE    			=       "lower newer"
												return input_text, output_text




							def 	__snake_case(						self   :					Dict      )					->				Optional[Any]:



												'''simple docstring'''

												SCREAMING_SNAKE_CASE    			=       BioGptTokenizer(self.vocab_file	,							self.merges_file      )

												SCREAMING_SNAKE_CASE    			=       "lower"
												SCREAMING_SNAKE_CASE    			=       ["low", "er</w>"]
												SCREAMING_SNAKE_CASE    			=       tokenizer.tokenize(_UpperCamelCase      )
												self.assertListEqual(_UpperCamelCase	,							_UpperCamelCase      )

												SCREAMING_SNAKE_CASE    			=       tokens + ["<unk>"]
												SCREAMING_SNAKE_CASE    			=       [14, 15, 20]
												self.assertListEqual(tokenizer.convert_tokens_to_ids(_UpperCamelCase      )	,							_UpperCamelCase      )





							@slow
							def 	__snake_case(						self   :					Any      )					->				Optional[Any]:



												'''simple docstring'''

												SCREAMING_SNAKE_CASE    			=       BioGptTokenizer.from_pretrained("microsoft/biogpt"      )

												SCREAMING_SNAKE_CASE    			=       tokenizer.encode("sequence builders"	,							add_special_tokens=_UpperCamelCase      )
												SCREAMING_SNAKE_CASE    			=       tokenizer.encode("multi-sequence build"	,							add_special_tokens=_UpperCamelCase      )

												SCREAMING_SNAKE_CASE    			=       tokenizer.build_inputs_with_special_tokens(_UpperCamelCase      )
												SCREAMING_SNAKE_CASE    			=       tokenizer.build_inputs_with_special_tokens(_UpperCamelCase	,							_UpperCamelCase      )

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





def 	__lowerCamelCase							(UpperCAmelCase__     :							int  ):
					assert isinstance(UpperCAmelCase__      , UpperCAmelCase__  ), F"The input value of [n={number}] is not an integer"

					if number == 1:
										return 2
					elif number < 1:
										SCREAMING_SNAKE_CASE    			=       F"The input value of [n={number}] has to be > 0"
										raise ValueError(UpperCAmelCase__  )
					else:
										SCREAMING_SNAKE_CASE    			=       sylvester(number - 1  )
										SCREAMING_SNAKE_CASE    			=       num - 1
										SCREAMING_SNAKE_CASE    			=       num
										return lower * upper + 1


if __name__ == "__main__":
							print(f"""The 8th number in Sylvester's sequence: {sylvester(8)}""")




