


from dataclasses import dataclass
from typing import List, Optional, Union

import numpy as np
import PIL

from ...utils import BaseOutput, is_invisible_watermark_available, is_torch_available, is_transformers_available

@dataclass
class     __snake_case							(      _UpperCAmelCase):
					SCREAMING_SNAKE_CASE_		:					Union[List[PIL.Image.Image], np.ndarray]


if is_transformers_available() and is_torch_available() and is_invisible_watermark_available():
					from .pipeline_stable_diffusion_xl import StableDiffusionXLPipeline
					from .pipeline_stable_diffusion_xl_imgaimg import StableDiffusionXLImgaImgPipeline





import os
import tempfile
import unittest
from typing import List

from transformers.models.esm.tokenization_esm import VOCAB_FILES_NAMES, EsmTokenizer
from transformers.testing_utils import require_tokenizers
from transformers.tokenization_utils import PreTrainedTokenizer
from transformers.tokenization_utils_base import PreTrainedTokenizerBase

@require_tokenizers
class     __snake_case							(      unittest.TestCase):
					SCREAMING_SNAKE_CASE_		:					Tuple 				= EsmTokenizer
					def   a (	self					:	List[Any]     )       ->				Dict:



											'''simple docstring'''





											super().setUp()
											__magic_name__ 		=			tempfile.mkdtemp()
											# fmt: off
											__magic_name__ 		=			["<cls>", "<pad>", "<eos>", "<unk>", "L", "A", "G", "V", "S", "E", "R", "T", "I", "D", "P", "K", "Q", "N", "F", "Y", "M", "H", "W", "C", "X", "B", "U", "Z", "O", ".", "-", "<null_1>", "<mask>"]  # noqa: E501
											# fmt: on
											__magic_name__ 		=			os.path.join(self.tmpdirname  ,			VOCAB_FILES_NAMES['vocab_file']     )
											with open(self.vocab_file  ,			'w'  ,			encoding='utf-8'     ) as vocab_writer:
																	vocab_writer.write(''.join([x + '\n' for x in vocab_tokens]     )     )
					def   a (	self					:	Optional[int]  ,			**_lowerCAmelCase					:	int     )       ->				List[PreTrainedTokenizerBase]:



											'''simple docstring'''





											return [self.get_tokenizer(**_lowerCAmelCase     )]
					def   a (	self					:	List[str]  ,			**_lowerCAmelCase					:	int     )       ->				PreTrainedTokenizer:



											'''simple docstring'''





											return self.tokenizer_class.from_pretrained(self.tmpdirname  ,			**_lowerCAmelCase     )
					def   a (	self					:	int     )       ->				int:



											'''simple docstring'''





											__magic_name__ 		=			self.tokenizer_class(self.vocab_file     )

											__magic_name__ 		=			tokenizer.tokenize('LAGVS'     )
											self.assertListEqual(_lowerCAmelCase  ,			['L', 'A', 'G', 'V', 'S']     )
											self.assertListEqual(tokenizer.convert_tokens_to_ids(_lowerCAmelCase     )  ,			[4, 5, 6, 7, 8]     )
					def   a (	self					:	str     )       ->				str:



											'''simple docstring'''





											__magic_name__ 		=			self.tokenizer_class(self.vocab_file     )

											__magic_name__ 		=			'LAGVS'
											self.assertListEqual(tokenizer.encode(_lowerCAmelCase     )  ,			[0, 4, 5, 6, 7, 8, 2]     )
					def   a (	self					:	int     )       ->				List[Any]:



											'''simple docstring'''





											__magic_name__ 		=			self.tokenizer_class(self.vocab_file     )

											__magic_name__ 		=			['LAGVS', 'WCB']
											__magic_name__ 		=			tokenizer(_lowerCAmelCase  ,			padding=_lowerCAmelCase     )['input_ids']

											self.assertListEqual(_lowerCAmelCase  ,			[[0, 4, 5, 6, 7, 8, 2], [0, 2_2, 2_3, 2_5, 2]]     )
					def   a (	self					:	Dict     )       ->				List[Any]:



											'''simple docstring'''





											__magic_name__ 		=			self.tokenizer_class(self.vocab_file     )

											__magic_name__ 		=			['LAGVS', 'WCB']
											__magic_name__ 		=			tokenizer(_lowerCAmelCase  ,			padding=_lowerCAmelCase     )['input_ids']

											self.assertListEqual(_lowerCAmelCase  ,			[[0, 4, 5, 6, 7, 8, 2], [0, 2_2, 2_3, 2_5, 2, 1, 1]]     )







					def   a (	self					:	Optional[int]     )       ->				str:



											'''simple docstring'''





											__magic_name__ 		=			self.get_tokenizers(fast=_lowerCAmelCase     )
											for tokenizer in tokenizers:
																	with self.subTest(F'''{tokenizer.__class__.__name__}'''     ):
																							__magic_name__ 		=			'<unk>'
																							__magic_name__ 		=			'<mask>'

																							__magic_name__ 		=			tokenizer.tokenize(_lowerCAmelCase     )
																							__magic_name__ 		=			tokenizer.tokenize(_lowerCAmelCase     )

																							self.assertEqual(len(_lowerCAmelCase     )  ,			1     )
																							self.assertEqual(len(_lowerCAmelCase     )  ,			1     )
																							self.assertEqual(token_a[0]  ,			_lowerCAmelCase     )
																							self.assertEqual(token_a[0]  ,			_lowerCAmelCase     )

