

from .balanced_parentheses import balanced_parentheses
from .stack import Stack




def      UpperCAmelCase__							(     _A :					Union[str, Any]				):





  '''simple docstring'''







  return {"+": 1, "-": 1, "*": 2, "/": 2, "^": 3}.get(lowerCAmelCase__      , -1				)




def      UpperCAmelCase__							(     _A :					List[Any]				):





  '''simple docstring'''







  if not balanced_parentheses(lowerCAmelCase__				):
    raise ValueError('''Mismatched parentheses'''				)
  a__    =Stack()
  a__    =[]
  for char in expression_str:
    if char.isalpha() or char.isdigit():
      postfix.append(lowerCAmelCase__				)
    elif char == "(":
      stack.push(lowerCAmelCase__				)
    elif char == ")":
      while not stack.is_empty() and stack.peek() != "(":
        postfix.append(stack.pop()				)
      stack.pop()
    else:
      while not stack.is_empty() and precedence(lowerCAmelCase__				) <= precedence(stack.peek()				):
        postfix.append(stack.pop()				)
      stack.push(lowerCAmelCase__				)
  while not stack.is_empty():
    postfix.append(stack.pop()				)
  return " ".join(lowerCAmelCase__				)


if __name__ == "__main__":
       from doctest import testmod

       testmod()
       lowerCamelCase 	=   "a+b*(c^d-e)^(f+g*h)-i"

       print('''Infix to Postfix Notation demonstration:\n''')
       print('''Infix notation: ''' + expression)
       print('''Postfix notation: ''' + infix_to_postfix(expression))


import unittest

import torch

from diffusers import DDIMScheduler, TextToVideoZeroPipeline
from diffusers.utils import load_pt, require_torch_gpu, slow

from ..test_pipelines_common import assert_mean_pixel_difference







@slow
@require_torch_gpu
class 							lowercase						(   unittest.TestCase						):




							def 					A__ (							self):
												lowercase		      =		'''runwayml/stable-diffusion-v1-5'''
												lowercase		      =		TextToVideoZeroPipeline.from_pretrained(A__  ,torch_dtype=torch.floataa).to('''cuda''')
												lowercase		      =		DDIMScheduler.from_config(pipe.scheduler.config)
												lowercase		      =		torch.Generator(device='''cuda''').manual_seed(0)

												lowercase		      =		'''A bear is playing a guitar on Times Square'''
												lowercase		      =		pipe(prompt=A__  ,generator=A__).images

												lowercase		      =		load_pt(
												    '''https://huggingface.co/datasets/hf-internal-testing/diffusers-images/resolve/main/text-to-video/A bear is playing a guitar on Times Square.pt''')

												assert_mean_pixel_difference(A__  ,A__)




