





"""simple docstring"""


from dataclasses import dataclass
from enum import Enum
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
class    lowercase_ (   __lowerCAmelCase							):
       snake_case__ :							Any 							=   {
           """sld_warmup_steps""": 15,
           """sld_guidance_scale""": 20,
           """sld_threshold""": 0.0,
           """sld_momentum_scale""": 0.0,
           """sld_mom_beta""": 0.0,
       }
       snake_case__ :							Optional[Any] 							=   {
           """sld_warmup_steps""": 10,
           """sld_guidance_scale""": 10_00,
           """sld_threshold""": 0.01,
           """sld_momentum_scale""": 0.3,
           """sld_mom_beta""": 0.4,
       }
       snake_case__ :							Optional[Any] 							=   {
           """sld_warmup_steps""": 7,
           """sld_guidance_scale""": 20_00,
           """sld_threshold""": 0.025,
           """sld_momentum_scale""": 0.5,
           """sld_mom_beta""": 0.7,
       }
       snake_case__ :							str 							=   {
           """sld_warmup_steps""": 0,
           """sld_guidance_scale""": 50_00,
           """sld_threshold""": 1.0,
           """sld_momentum_scale""": 0.5,
           """sld_mom_beta""": 0.7,
       }



@dataclass
class    lowercase_ (   __lowerCAmelCase							):
       snake_case__ :							Union[List[PIL.Image.Image], np.ndarray]
       snake_case__ :							Optional[List[bool]]
       snake_case__ :							Optional[Union[List[PIL.Image.Image], np.ndarray]]
       snake_case__ :							Optional[str]


if is_transformers_available() and is_torch_available():
   from .pipeline_stable_diffusion_safe import StableDiffusionPipelineSafe
   from .safety_checker import SafeStableDiffusionSafetyChecker








"""simple docstring"""


from __future__ import annotations





def 							a__	(     _UpperCAmelCase		,   _UpperCAmelCase		,   _UpperCAmelCase		,   )			->     list[float | int]:

 '''simple docstring'''






 if not all((nth_term, start_term_a, common_ratio_r)		):
  return []
 snake_case__										= []
 snake_case__										= 1
 snake_case__										= common_ratio_r
 for _ in range(int(_UpperCAmelCase		)		):
  if not series:
   series.append(_UpperCAmelCase		)
  else:
   power += 1
   series.append(float(start_term_a * multiple		)		)
   snake_case__										= pow(float(_UpperCAmelCase		)		,   _UpperCAmelCase		)
 return series


if __name__ == "__main__":
   import doctest

   doctest.testmod()

   a__    :   int    						= float(input("""Enter the last number (n term) of the Geometric Series"""))
   a__    :   str    						= float(input("""Enter the starting term (a) of the Geometric Series"""))
   a__    :   str    						= float(
       input("""Enter the common ratio between two terms (r) of the Geometric Series""")
   )
   print("""Formula of Geometric Series => a + ar + ar^2 ... +ar^n""")
   print(geometric_series(nth_term, start_term_a, common_ratio_r))

