



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"""





			lowercase__      :  Dict      =			BioGptTokenizer
			lowercase__      :  Union[str, Any]      =			False





			def 		snake_case__			(				self	:       str   )						->					str:
									"""simple docstring"""







									super().setUp()

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

									__lowercase					=				os.path.join(self.tmpdirname			,     VOCAB_FILES_NAMES["""vocab_file"""]   )
									__lowercase					=				os.path.join(self.tmpdirname			,     VOCAB_FILES_NAMES["""merges_file"""]   )
									with open(self.vocab_file			,     """w"""   ) as fp:
															fp.write(json.dumps(lowercase   )   )
									with open(self.merges_file			,     """w"""   ) as fp:
															fp.write("""\n""".join(lowercase   )   )





			def 		snake_case__			(				self	:       Tuple			,     lowercase	:       Optional[Any]   )						->					Union[str, Any]:
									"""simple docstring"""







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





			def 		snake_case__			(				self	:       Union[str, Any]   )						->					str:
									"""simple docstring"""







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

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

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







			@slow
			def 		snake_case__			(				self	:       str   )						->					str:
									"""simple docstring"""







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

									__lowercase					=				tokenizer.encode("""sequence builders"""			,     add_special_tokens=lowercase   )
									__lowercase					=				tokenizer.encode("""multi-sequence build"""			,     add_special_tokens=lowercase   )

									__lowercase					=				tokenizer.build_inputs_with_special_tokens(lowercase   )
									__lowercase					=				tokenizer.build_inputs_with_special_tokens(lowercase			,     lowercase   )

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










from dataclasses import dataclass, field
from typing import ClassVar, Dict

from ..features import Features, Value
from .base import TaskTemplate
@dataclass(frozen=_UpperCAmelCase			)
class 			_lowerCAmelCase   ( _UpperCAmelCase			):






			"""simple docstring"""





			lowercase__      :  str      =			field(default="""summarization"""    ,					metadata={"""include_in_asdict_even_if_is_default""": True}			)
			lowercase__      :  ClassVar[Features]      =			Features({"""text""": Value("""string"""			)}			)
			lowercase__      :  ClassVar[Features]      =			Features({"""summary""": Value("""string"""			)}			)
			lowercase__      :  str      =			"text"
			lowercase__      :  str      =			"summary"





			@property
			def 		snake_case__			(				self	:       List[Any]   )						->					Dict[str, str]:
									"""simple docstring"""







									return {self.text_column: "text", self.summary_column: "summary"}





