code: 
  
  
  from .stack import Stack
  
  
  
  
  
  
  
  def  _lowerCamelCase(			lowercase__			)		->			bool:
  
  						'''simple docstring'''
  
  
  
  
  
  
  
  						__lowercase=    Stack()
  						__lowercase=    {'(': ')', '[': ']', '{': '}'}
  						for bracket in parentheses:
  												if bracket in bracket_pairs:
  																		stack.push(lowercase__			)
  												elif bracket in (")", "]", "}"):
  																		if stack.is_empty() or bracket_pairs[stack.pop()] != bracket:
  																								return False
  						return stack.is_empty()
  
  
  if __name__ == "__main__":
  	from doctest import testmod
  
  	testmod()
  
  	lowerCAmelCase					 =	['''((()))''', '''((())''', '''(()))''']
  	print('''Balanced parentheses demonstration:\n''')
  	for example in examples:
  		lowerCAmelCase					 =	'''''' if balanced_parentheses(example) else '''not '''
  		print(F'{example} is {not_str}balanced')
  
  
  
  
  
  
  
style_context: 
  
  
  from dataclasses import dataclass
  from typing import List, Optional, Union
  
  import numpy as np
  import PIL
  from PIL import Image
  
  from ...utils import BaseOutput, is_torch_available, is_transformers_available
  
  
  
  
  
  @dataclass
  # Copied from diffusers.pipelines.stable_diffusion.__init__.StableDiffusionPipelineOutput with Stable->Alt
  class    A					(     A_				):
  							UpperCamelCase_     :							Union[List[PIL.Image.Image], np.ndarray]
  							UpperCamelCase_     :							Optional[List[bool]]
  
  
  if is_transformers_available() and is_torch_available():
  	from .modeling_roberta_series import RobertaSeriesModelWithTransformation
  	from .pipeline_alt_diffusion import AltDiffusionPipeline
  	from .pipeline_alt_diffusion_imgaimg import AltDiffusionImgaImgPipeline
  
  
  
  
  
  
  