



'''simple docstring'''

import json
import os
import unittest

from transformers.models.blenderbot_small.tokenization_blenderbot_small import (
    VOCAB_FILES_NAMES,
    BlenderbotSmallTokenizer,
)

from ...test_tokenization_common import TokenizerTesterMixin

class       __magic_name__		(       _UpperCamelCase     ,		unittest.TestCase  ):
							lowerCAmelCase			:       List[Any]  							=   BlenderbotSmallTokenizer
							lowerCAmelCase			:       str  							=   False







							def 				__lowercase     (				self   :			Any						):
									super().setUp()

									_a	: Union[str, Any]								=				['__start__', 'adapt', 'act', 'ap@@', 'te', '__end__', '__unk__']
									_a	: int								=				dict(zip(_UpperCAmelCase      ,range(len(_UpperCAmelCase						)						)						)						)

									_a	: Optional[int]								=				['#version: 0.2', 'a p', 't e</w>', 'ap t</w>', 'a d', 'ad apt</w>', 'a c', 'ac t</w>', '']
									_a	: List[str]								=				{'unk_token': '__unk__', 'bos_token': '__start__', 'eos_token': '__end__'}

									_a	: Tuple								=				os.path.join(self.tmpdirname      ,VOCAB_FILES_NAMES['vocab_file']						)
									_a	: List[str]								=				os.path.join(self.tmpdirname      ,VOCAB_FILES_NAMES['merges_file']						)
									with open(self.vocab_file      ,'w'      ,encoding='utf-8'						) as fp:
											fp.write(json.dumps(_UpperCAmelCase						) + '\n'						)
									with open(self.merges_file      ,'w'      ,encoding='utf-8'						) as fp:
											fp.write('\n'.join(_UpperCAmelCase						)						)







							def 				__lowercase     (				self   :			List[Any]      ,**_UpperCAmelCase   :			Tuple						):
									kwargs.update(self.special_tokens_map						)
									return BlenderbotSmallTokenizer.from_pretrained(self.tmpdirname      ,**_UpperCAmelCase						)







							def 				__lowercase     (				self   :			Optional[Any]      ,_UpperCAmelCase   :			Optional[Any]						):
									_a	: List[str]								=				'adapt act apte'
									_a	: str								=				'adapt act apte'
									return input_text, output_text







							def 				__lowercase     (				self   :			Optional[int]						):
									_a	: Tuple								=				BlenderbotSmallTokenizer(self.vocab_file      ,self.merges_file      ,**self.special_tokens_map						)
									_a	: int								=				'adapt act apte'
									_a	: List[Any]								=				['adapt', 'act', 'ap@@', 'te']
									_a	: Optional[Any]								=				tokenizer.tokenize(_UpperCAmelCase						)
									self.assertListEqual(_UpperCAmelCase      ,_UpperCAmelCase						)

									_a	: int								=				[tokenizer.bos_token] + tokens + [tokenizer.eos_token]

									_a	: Any								=				[0, 1, 2, 3, 4, 5]
									self.assertListEqual(tokenizer.convert_tokens_to_ids(_UpperCAmelCase						)      ,_UpperCAmelCase						)







							def 				__lowercase     (				self   :			str						):
									_a	: Dict								=				BlenderbotSmallTokenizer.from_pretrained('facebook/blenderbot-90M'						)
									assert tok('sam'						).input_ids == [1384]
									_a	: Optional[int]								=				'I am a small frog.'
									_a	: Union[str, Any]								=				tok([src_text]      ,padding=_UpperCAmelCase      ,truncation=_UpperCAmelCase						)['input_ids']
									_a	: Any								=				tok.batch_decode(_UpperCAmelCase      ,skip_special_tokens=_UpperCAmelCase      ,clean_up_tokenization_spaces=_UpperCAmelCase						)[0]
									assert src_text != decoded  # I wish it did!
									assert decoded == "i am a small frog ."







							def 				__lowercase     (				self   :			Optional[int]						):
									_a	: List[Any]								=				BlenderbotSmallTokenizer.from_pretrained('facebook/blenderbot-90M'						)
									_a	: Dict								=				'I am a small frog .'
									_a	: List[Any]								=				'.'
									_a	: Union[str, Any]								=				tok(_UpperCAmelCase						)['input_ids']
									_a	: Tuple								=				tok(_UpperCAmelCase						)['input_ids']

									assert encoded[-1] == encoded_dot[0]









'''simple docstring'''

from abc import ABC, abstractmethod
from argparse import ArgumentParser

class       __magic_name__		(       _UpperCamelCase  ):







							@staticmethod
							@abstractmethod
							def 				__lowercase     (				_UpperCAmelCase   :			ArgumentParser						):
									raise NotImplementedError()







							@abstractmethod
							def 				__lowercase     (				self   :			str						):
									raise NotImplementedError()




