





"""simple docstring"""






from __future__ import annotations

def       __lowerCamelCase    (       SCREAMING_SNAKE_CASE,SCREAMING_SNAKE_CASE							)		->       Tuple:






       """simple docstring"""




       if len(snake_case_							) == 0:
              return False
       _UpperCAmelCase     =     len(snake_case_							) // 2
       if a_list[midpoint] == item:
              return True
       if item < a_list[midpoint]:
              return binary_search(a_list[:midpoint],snake_case_							)
       else:
              return binary_search(a_list[midpoint + 1 :],snake_case_							)


if __name__ == "__main__":
    lowerCAmelCase_			=							input('''Enter numbers separated by comma:\n''').strip()
    lowerCAmelCase_			=							[int(item.strip()) for item in user_input.split(''',''')]
    lowerCAmelCase_			=							int(input('''Enter the number to be found in the list:\n''').strip())
    lowerCAmelCase_			=							'''''' if binary_search(sequence, target) else '''not '''
    print(F'''{target} was {not_str}found in {sequence}''')













"""simple docstring"""






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					(      snake_case							):
       lowerCAmelCase__						 =  42
       lowerCAmelCase__						 =  42
       lowerCAmelCase__						 =  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






