


import os
import unittest

from transformers import LxmertTokenizer, LxmertTokenizerFast
from transformers.models.bert.tokenization_bert import VOCAB_FILES_NAMES
from transformers.testing_utils import require_tokenizers

from ...test_tokenization_common import TokenizerTesterMixin
@require_tokenizers
class 	lowerCamelCase_       (				__lowerCAmelCase     ,     unittest.TestCase				):



					'''simple docstring'''







					__UpperCAmelCase            =				LxmertTokenizer
					__UpperCAmelCase            =				LxmertTokenizerFast
					__UpperCAmelCase            =				True
					__UpperCAmelCase            =				True






					def A      (				self						)   ->			List[str]:







								'''simple docstring'''

								super().setUp()

								__lowercase 					=   [
								    """[UNK]""",
								    """[CLS]""",
								    """[SEP]""",
								    """want""",
								    """##want""",
								    """##ed""",
								    """wa""",
								    """un""",
								    """runn""",
								    """##ing""",
								    """,""",
								    """low""",
								    """lowest""",
								]
								__lowercase 					=   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 ,       snake_case_						)   ->			int:







								'''simple docstring'''

								__lowercase 					=   """UNwant\u00E9d,running"""
								__lowercase 					=   """unwanted, running"""
								return input_text, output_text






					def A      (				self						)   ->			Optional[int]:







								'''simple docstring'''

								__lowercase 					=   self.tokenizer_class(self.vocab_file						)

								__lowercase 					=   tokenizer.tokenize('''UNwant\u00E9d,running'''						)
								self.assertListEqual(_UpperCamelCase ,       ['''un''', '''##want''', '''##ed''', ''',''', '''runn''', '''##ing''']						)
								self.assertListEqual(tokenizer.convert_tokens_to_ids(_UpperCamelCase						) ,       [7, 4, 5, 1_0, 8, 9]						)






					def A      (				self						)   ->			int:







								'''simple docstring'''

								if not self.test_rust_tokenizer:
											return

								__lowercase 					=   self.get_tokenizer()
								__lowercase 					=   self.get_rust_tokenizer()

								__lowercase 					=   """I was born in 92000, and this is falsé."""

								__lowercase 					=   tokenizer.tokenize(_UpperCamelCase						)
								__lowercase 					=   rust_tokenizer.tokenize(_UpperCamelCase						)
								self.assertListEqual(_UpperCamelCase ,       _UpperCamelCase						)

								__lowercase 					=   tokenizer.encode(_UpperCamelCase ,       add_special_tokens=_UpperCamelCase						)
								__lowercase 					=   rust_tokenizer.encode(_UpperCamelCase ,       add_special_tokens=_UpperCamelCase						)
								self.assertListEqual(_UpperCamelCase ,       _UpperCamelCase						)

								__lowercase 					=   self.get_rust_tokenizer()
								__lowercase 					=   tokenizer.encode(_UpperCamelCase						)
								__lowercase 					=   rust_tokenizer.encode(_UpperCamelCase						)
								self.assertListEqual(_UpperCamelCase ,       _UpperCamelCase						)






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

import numpy as np
import PIL

from ...utils import BaseOutput, OptionalDependencyNotAvailable, is_torch_available, is_transformers_available
from .timesteps import (
    fastaa_timesteps,
    smartaa_timesteps,
    smartaa_timesteps,
    smartaaa_timesteps,
    smartaaa_timesteps,
    superaa_timesteps,
    superaa_timesteps,
    superaaa_timesteps,
)
@dataclass
class 	lowerCamelCase_       (				lowerCAmelCase__				):



					'''simple docstring'''







					__UpperCAmelCase            =				42
					__UpperCAmelCase            =				42
					__UpperCAmelCase            =				42


try:
	if not (is_transformers_available() and is_torch_available()):
		raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
	from ...utils.dummy_torch_and_transformers_objects import *  # noqa F403
else:
	from .pipeline_if import IFPipeline
	from .pipeline_if_imgaimg import IFImgaImgPipeline
	from .pipeline_if_imgaimg_superresolution import IFImgaImgSuperResolutionPipeline
	from .pipeline_if_inpainting import IFInpaintingPipeline
	from .pipeline_if_inpainting_superresolution import IFInpaintingSuperResolutionPipeline
	from .pipeline_if_superresolution import IFSuperResolutionPipeline
	from .safety_checker import IFSafetyChecker
	from .watermark import IFWatermarker


