code: 
  
  
  
  
  SCREAMING_SNAKE_CASE__    :    Union[str, Any]								=					[0.33, 0.44, 0.55, 0.44, 0.33]
  SCREAMING_SNAKE_CASE__    :    Any								=					3
  SCREAMING_SNAKE_CASE__    :    Dict								=					5
  
  # Buffer Space (with Parameters Space)
  SCREAMING_SNAKE_CASE__    :    list[float]								=					[]
  SCREAMING_SNAKE_CASE__    :    list[float]								=					[]
  
  # Machine Time
  SCREAMING_SNAKE_CASE__    :    int								=					0
  
  def lowercase						(     SCREAMING_SNAKE_CASE   ) ->       List[str]:
  
  
  			'''simple docstring'''
  
  
  
  
  
  
  
  			global buffer_space, params_space, machine_time, K, m, t
  
  			# Choosing Dynamical Systems (All)
  			for key, value in enumerate(SCREAMING_SNAKE_CASE   ):
  						# Evolution Parameter
  						SCREAMING_SNAKE_CASE_			=	float(seed / value   )
  
  						# Control Theory: Orbit Change
  						SCREAMING_SNAKE_CASE_			=	(buffer_space[(key + 1) % m] + e) % 1
  
  						# Control Theory: Trajectory Change
  						SCREAMING_SNAKE_CASE_			=	(params_space[key] + e) % 1 + 3
  
  						# Modification (Transition Function) - Jumps
  						SCREAMING_SNAKE_CASE_			=	round(float(r * value * (1 - value)   )					,						10   )
  						SCREAMING_SNAKE_CASE_			=	r  # Saving to Parameters Space
  
  			# Logistic Map
  			assert max(SCREAMING_SNAKE_CASE   ) < 1
  			assert max(SCREAMING_SNAKE_CASE   ) < 4
  
  			# Machine Time
  			machine_time += 1
  
  def lowercase						(     ) ->       Tuple:
  
  
  			'''simple docstring'''
  
  
  
  
  
  
  
  			global buffer_space, params_space, machine_time, K, m, t
  
  			# PRNG (Xorshift by George Marsaglia)
  			def xorshift(SCREAMING_SNAKE_CASE					,						SCREAMING_SNAKE_CASE   ):
  						x ^= y >> 13
  						y ^= x << 17
  						x ^= y >> 5
  						return x
  
  			# Choosing Dynamical Systems (Increment)
  			SCREAMING_SNAKE_CASE_			=	machine_time % m
  
  			# Evolution (Time Length)
  			for _ in range(0					,						SCREAMING_SNAKE_CASE   ):
  						# Variables (Position + Parameters)
  						SCREAMING_SNAKE_CASE_			=	params_space[key]
  						SCREAMING_SNAKE_CASE_			=	buffer_space[key]
  
  						# Modification (Transition Function) - Flow
  						SCREAMING_SNAKE_CASE_			=	round(float(r * value * (1 - value)   )					,						10   )
  						SCREAMING_SNAKE_CASE_			=	(machine_time * 0.01 + r * 1.01) % 1 + 3
  
  			# Choosing Chaotic Data
  			SCREAMING_SNAKE_CASE_			=	int(buffer_space[(key + 2) % m] * (10**10)   )
  			SCREAMING_SNAKE_CASE_			=	int(buffer_space[(key - 2) % m] * (10**10)   )
  
  			# Machine Time
  			machine_time += 1
  
  			return xorshift(SCREAMING_SNAKE_CASE					,						SCREAMING_SNAKE_CASE   ) % 0Xff_ff_ff_ff
  
  def lowercase						(     ) ->       List[str]:
  
  
  			'''simple docstring'''
  
  
  
  
  
  
  
  			global buffer_space, params_space, machine_time, K, m, t
  
  			SCREAMING_SNAKE_CASE_			=	K
  			SCREAMING_SNAKE_CASE_			=	[0] * m
  			SCREAMING_SNAKE_CASE_			=	0
  
  
  if __name__ == "__main__":
  				# Initialization
  				reset()
  
  				# Pushing Data (Input)
  				import random
  
  				SCREAMING_SNAKE_CASE__    :    Dict								=					random.sample(range(0xFFFF_FFFF), 1_00)
  				for chunk in message:
  								push(chunk)
  
  				# for controlling
  				SCREAMING_SNAKE_CASE__    :    Any								=					""
  
  				# Pulling Data (Output)
  				while inp in ("e", "E"):
  								print(f"""{format(pull(), '#04x')}""")
  								print(buffer_space)
  								print(params_space)
  								SCREAMING_SNAKE_CASE__    :    Union[str, Any]								=					input("(e)exit? ").strip()
  
style_context: 
  
  
  
  
  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 			a_					(    SCREAMING_SNAKE_CASE__    ):
  	A						       =   42
  
  
  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
  