
import os
import unittest

from transformers.models.bertweet.tokenization_bertweet import VOCAB_FILES_NAMES, BertweetTokenizer

from ...test_tokenization_common import TokenizerTesterMixin


class 	UpperCamelCase__       (  UpperCAmelCase__						,			unittest.TestCase):

						'''simple docstring'''



						__a     :    Optional[Any]												=			BertweetTokenizer
						__a     :    Tuple												=			False


						def    A__       (  self	)  ->List[Any]:
									super().setUp()

									# Adapted from Sennrich et al. 2015 and https://github.com/rsennrich/subword-nmt
									UpperCAmelCase__		:Optional[Any] 		=    ['I', 'm', 'V@@', 'R@@', 'r', 'e@@']
									UpperCAmelCase__		:Optional[int] 		=    dict(zip(lowerCamelCase_  , range(len(lowerCamelCase_	)	)	)	)
									UpperCAmelCase__		:Union[str, Any] 		=    ['#version: 0.2', 'a m</w>']
									UpperCAmelCase__		:Optional[int] 		=    {'unk_token': '<unk>'}

									UpperCAmelCase__		:Any 		=    os.path.join(self.tmpdirname  , VOCAB_FILES_NAMES['vocab_file']	)
									UpperCAmelCase__		:Tuple 		=    os.path.join(self.tmpdirname  , VOCAB_FILES_NAMES['merges_file']	)
									with open(self.vocab_file  , 'w'  , encoding='utf-8'	) as fp:
												for token in vocab_tokens:
															fp.write(F"""{token} {vocab_tokens[token]}\n"""	)
									with open(self.merges_file  , 'w'  , encoding='utf-8'	) as fp:
												fp.write('\n'.join(lowerCamelCase_	)	)


						def    A__       (  self  , **A	)  ->Any:
									kwargs.update(self.special_tokens_map	)
									return BertweetTokenizer.from_pretrained(self.tmpdirname  , **lowerCamelCase_	)


						def    A__       (  self  , A	)  ->int:
									UpperCAmelCase__		:Dict 		=    'I am VinAI Research'
									UpperCAmelCase__		:List[Any] 		=    'I <unk> m V<unk> <unk> <unk> I Re<unk> e<unk> <unk> <unk> <unk>'
									return input_text, output_text


						def    A__       (  self	)  ->Tuple:
									UpperCAmelCase__		:Union[str, Any] 		=    BertweetTokenizer(self.vocab_file  , self.merges_file  , **self.special_tokens_map	)
									UpperCAmelCase__		:Any 		=    'I am VinAI Research'
									UpperCAmelCase__		:Union[str, Any] 		=    'I a@@ m V@@ i@@ n@@ A@@ I R@@ e@@ s@@ e@@ a@@ r@@ c@@ h'.split()
									UpperCAmelCase__		:Union[str, Any] 		=    tokenizer.tokenize(lowerCamelCase_	)
									self.assertListEqual(lowerCamelCase_  , lowerCamelCase_	)

									UpperCAmelCase__		:int 		=    tokens + [tokenizer.unk_token]

									UpperCAmelCase__		:str 		=    [4, 3, 5, 6, 3, 3, 3, 4, 7, 9, 3, 9, 3, 3, 3, 3, 3]
									self.assertListEqual(tokenizer.convert_tokens_to_ids(lowerCamelCase_	)  , lowerCamelCase_	)










from .pipeline_kandinskya_a import KandinskyVaaPipeline
from .pipeline_kandinsky2_2_controlnet import KandinskyVaaControlnetPipeline
from .pipeline_kandinsky2_2_controlnet_img2img import KandinskyVaaControlnetImgaImgPipeline
from .pipeline_kandinsky2_2_img2img import KandinskyVaaImgaImgPipeline
from .pipeline_kandinsky2_2_inpainting import KandinskyVaaInpaintPipeline
from .pipeline_kandinsky2_2_prior import KandinskyVaaPriorPipeline
from .pipeline_kandinsky2_2_prior_emb2emb import KandinskyVaaPriorEmbaEmbPipeline
