code: 
  
  
  
  import tempfile
  import unittest
  
  from diffusers import (
      DDIMScheduler,
      DDPMScheduler,
      DPMSolverMultistepScheduler,
      EulerAncestralDiscreteScheduler,
      EulerDiscreteScheduler,
      PNDMScheduler,
      logging,
  )
  from diffusers.configuration_utils import ConfigMixin, register_to_config
  from diffusers.utils.testing_utils import CaptureLogger
  
  
  
  class        lowerCAmelCase_	(						snake_case__							):
  							UpperCAmelCase__       :      str       =						'config.json'
  							@register_to_config
  							def __init__(    self,    SCREAMING_SNAKE_CASE_=2,    SCREAMING_SNAKE_CASE_=5,    SCREAMING_SNAKE_CASE_=(2, 5),    SCREAMING_SNAKE_CASE_="for diffusion",    SCREAMING_SNAKE_CASE_=[1, 3],    )  ->	int:
  										pass
  
  
  
  
  
  
  class        lowerCAmelCase_	(						snake_case__							):
  							UpperCAmelCase__       :      Union[str, Any]       =						'config.json'
  							@register_to_config
  							def __init__(    self,    SCREAMING_SNAKE_CASE_=2,    SCREAMING_SNAKE_CASE_=5,    SCREAMING_SNAKE_CASE_=(2, 5),    SCREAMING_SNAKE_CASE_="for diffusion",    SCREAMING_SNAKE_CASE_=[1, 3],    )  ->	List[str]:
  										pass
  
  
  
  
  
  
  class        lowerCAmelCase_	(						snake_case__							):
  							UpperCAmelCase__       :      Optional[Any]       =						'config.json'
  							@register_to_config
  							def __init__(    self,    SCREAMING_SNAKE_CASE_=2,    SCREAMING_SNAKE_CASE_=5,    SCREAMING_SNAKE_CASE_=(2, 5),    SCREAMING_SNAKE_CASE_="for diffusion",    SCREAMING_SNAKE_CASE_=[1, 3],    SCREAMING_SNAKE_CASE_=[1, 3],    )  ->	Any:
  										pass
  
  
  
  
  
  
  class        lowerCAmelCase_	(						snake_case__							):
  							UpperCAmelCase__       :      Tuple       =						'config.json'
  							@register_to_config
  							def __init__(    self,    SCREAMING_SNAKE_CASE_=2,    SCREAMING_SNAKE_CASE_=5,    SCREAMING_SNAKE_CASE_=(2, 5),    SCREAMING_SNAKE_CASE_="for diffusion",    SCREAMING_SNAKE_CASE_=[1, 5],    SCREAMING_SNAKE_CASE_=[5, 4],    )  ->	Any:
  										pass
  
  
  
  
  
  
  class        lowerCAmelCase_	(						unittest.TestCase							):
  							def       snake_case_ (    self )  ->	List[Any]:
  										with self.assertRaises(SCREAMING_SNAKE_CASE_ ):
  													ConfigMixin.load_config('dummy_path' )
  							def       snake_case_ (    self )  ->	List[Any]:
  										UpperCamelCase					:						List[Any]					=			SampleObject()
  										UpperCamelCase					:						Any					=			obj.config
  										assert config["a"] == 2
  										assert config["b"] == 5
  										assert config["c"] == (2, 5)
  										assert config["d"] == "for diffusion"
  										assert config["e"] == [1, 3]
  
  										# init ignore private arguments
  										UpperCamelCase					:						Any					=			SampleObject(_name_or_path='lalala' )
  										UpperCamelCase					:						int					=			obj.config
  										assert config["a"] == 2
  										assert config["b"] == 5
  										assert config["c"] == (2, 5)
  										assert config["d"] == "for diffusion"
  										assert config["e"] == [1, 3]
  
  										# can override default
  										UpperCamelCase					:						Union[str, Any]					=			SampleObject(c=6 )
  										UpperCamelCase					:						List[Any]					=			obj.config
  										assert config["a"] == 2
  										assert config["b"] == 5
  										assert config["c"] == 6
  										assert config["d"] == "for diffusion"
  										assert config["e"] == [1, 3]
  
  										# can use positional arguments.
  										UpperCamelCase					:						Tuple					=			SampleObject(1,    c=6 )
  										UpperCamelCase					:						Union[str, Any]					=			obj.config
  										assert config["a"] == 1
  										assert config["b"] == 5
  										assert config["c"] == 6
  										assert config["d"] == "for diffusion"
  										assert config["e"] == [1, 3]
  							def       snake_case_ (    self )  ->	Any:
  										UpperCamelCase					:						int					=			SampleObject()
  										UpperCamelCase					:						str					=			obj.config
  
  										assert config["a"] == 2
  										assert config["b"] == 5
  										assert config["c"] == (2, 5)
  										assert config["d"] == "for diffusion"
  										assert config["e"] == [1, 3]
  
  										with tempfile.TemporaryDirectory() as tmpdirname:
  													obj.save_config(SCREAMING_SNAKE_CASE_ )
  													UpperCamelCase					:						str					=			SampleObject.from_config(SampleObject.load_config(SCREAMING_SNAKE_CASE_ ) )
  													UpperCamelCase					:						Optional[Any]					=			new_obj.config
  
  										# unfreeze configs
  										UpperCamelCase					:						int					=			dict(SCREAMING_SNAKE_CASE_ )
  										UpperCamelCase					:						str					=			dict(SCREAMING_SNAKE_CASE_ )
  
  										assert config.pop('c' ) == (2, 5)  # instantiated as tuple
  										assert new_config.pop('c' ) == [2, 5]  # saved & loaded as list because of json
  										config.pop('_use_default_values' )
  										assert config == new_config
  							def       snake_case_ (    self )  ->	Optional[int]:
  										UpperCamelCase					:						List[str]					=			logging.get_logger('diffusers.configuration_utils' )
  										# 30 for warning
  										logger.setLevel(30 )
  
  										with CaptureLogger(SCREAMING_SNAKE_CASE_ ) as cap_logger:
  													UpperCamelCase					:						List[str]					=			DDIMScheduler.from_pretrained(
  													    'hf-internal-testing/tiny-stable-diffusion-torch',    subfolder='scheduler' )
  
  										assert ddim.__class__ == DDIMScheduler
  										# no warning should be thrown
  										assert cap_logger.out == ""
  							def       snake_case_ (    self )  ->	int:
  										UpperCamelCase					:						Optional[Any]					=			logging.get_logger('diffusers.configuration_utils' )
  										# 30 for warning
  										logger.setLevel(30 )
  
  										with CaptureLogger(SCREAMING_SNAKE_CASE_ ) as cap_logger:
  													UpperCamelCase					:						List[str]					=			EulerDiscreteScheduler.from_pretrained(
  													    'hf-internal-testing/tiny-stable-diffusion-torch',    subfolder='scheduler' )
  
  										assert euler.__class__ == EulerDiscreteScheduler
  										# no warning should be thrown
  										assert cap_logger.out == ""
  							def       snake_case_ (    self )  ->	Union[str, Any]:
  										UpperCamelCase					:						str					=			logging.get_logger('diffusers.configuration_utils' )
  										# 30 for warning
  										logger.setLevel(30 )
  
  										with CaptureLogger(SCREAMING_SNAKE_CASE_ ) as cap_logger:
  													UpperCamelCase					:						List[Any]					=			EulerAncestralDiscreteScheduler.from_pretrained(
  													    'hf-internal-testing/tiny-stable-diffusion-torch',    subfolder='scheduler' )
  
  										assert euler.__class__ == EulerAncestralDiscreteScheduler
  										# no warning should be thrown
  										assert cap_logger.out == ""
  							def       snake_case_ (    self )  ->	List[str]:
  										UpperCamelCase					:						Optional[int]					=			logging.get_logger('diffusers.configuration_utils' )
  										# 30 for warning
  										logger.setLevel(30 )
  
  										with CaptureLogger(SCREAMING_SNAKE_CASE_ ) as cap_logger:
  													UpperCamelCase					:						List[Any]					=			PNDMScheduler.from_pretrained(
  													    'hf-internal-testing/tiny-stable-diffusion-torch',    subfolder='scheduler' )
  
  										assert pndm.__class__ == PNDMScheduler
  										# no warning should be thrown
  										assert cap_logger.out == ""
  							def       snake_case_ (    self )  ->	List[str]:
  										UpperCamelCase					:						Tuple					=			logging.get_logger('diffusers.configuration_utils' )
  										# 30 for warning
  										logger.setLevel(30 )
  
  										with CaptureLogger(SCREAMING_SNAKE_CASE_ ) as cap_logger:
  													UpperCamelCase					:						Optional[Any]					=			DDPMScheduler.from_pretrained(
  													    'hf-internal-testing/tiny-stable-diffusion-torch',    subfolder='scheduler',    prediction_type='sample',    beta_end=8,    )
  
  										with CaptureLogger(SCREAMING_SNAKE_CASE_ ) as cap_logger_a:
  													UpperCamelCase					:						Tuple					=			DDPMScheduler.from_pretrained('google/ddpm-celebahq-256',    beta_start=88 )
  
  										assert ddpm.__class__ == DDPMScheduler
  										assert ddpm.config.prediction_type == "sample"
  										assert ddpm.config.beta_end == 8
  										assert ddpm_a.config.beta_start == 88
  
  										# no warning should be thrown
  										assert cap_logger.out == ""
  										assert cap_logger_a.out == ""
  							def       snake_case_ (    self )  ->	Tuple:
  										UpperCamelCase					:						Optional[Any]					=			logging.get_logger('diffusers.configuration_utils' )
  										# 30 for warning
  										logger.setLevel(30 )
  
  										with CaptureLogger(SCREAMING_SNAKE_CASE_ ) as cap_logger:
  													UpperCamelCase					:						Optional[Any]					=			DPMSolverMultistepScheduler.from_pretrained(
  													    'hf-internal-testing/tiny-stable-diffusion-torch',    subfolder='scheduler' )
  
  										assert dpm.__class__ == DPMSolverMultistepScheduler
  										# no warning should be thrown
  										assert cap_logger.out == ""
  
  
  
  
  
  
  							def       snake_case_ (    self )  ->	Dict:
  										# let's first save a config that should be in the form
  										#    a=2,
  										#    b=5,
  										#    c=(2, 5),
  										#    d="for diffusion",
  										#    e=[1, 3],
  
  										UpperCamelCase					:						Optional[Any]					=			SampleObject()
  
  										UpperCamelCase					:						str					=			{k: v for k, v in config.config.items() if not k.startswith('_' )}
  
  										# make sure that default config has all keys in `_use_default_values`
  										assert set(config_dict.keys() ) == set(config.config._use_default_values )
  
  										with tempfile.TemporaryDirectory() as tmpdirname:
  													config.save_config(SCREAMING_SNAKE_CASE_ )
  
  													# now loading it with SampleObject2 should put f into `_use_default_values`
  													UpperCamelCase					:						Optional[Any]					=			SampleObjecta.from_config(SCREAMING_SNAKE_CASE_ )
  
  													assert "f" in config._use_default_values
  													assert config.f == [1, 3]
  
  										# now loading the config, should **NOT** use [1, 3] for `f`, but the default [1, 4] value
  										# **BECAUSE** it is part of `config._use_default_values`
  										UpperCamelCase					:						Union[str, Any]					=			SampleObjecta.from_config(config.config )
  										assert new_config.f == [5, 4]
  
  										config.config._use_default_values.pop()
  										UpperCamelCase					:						Optional[Any]					=			SampleObjecta.from_config(config.config )
  										assert new_config_a.f == [1, 3]
  
  										# Nevertheless "e" should still be correctly loaded to [1, 3] from SampleObject2 instead of defaulting to [1, 5]
  										assert new_config_a.e == [1, 3]
  
  
  
  
style_context: 
  
  
  
  from __future__ import annotations
  
  import sys
  def 	UpperCamelCase			(     snake_case__ :					int ,  snake_case__ :					int			)			->  tuple[int, int]:
     # base cases
     if abs(snake_case__			) == 1:
        return a, 0
     elif abs(snake_case__			) == 1:
        return 0, b
  
     UpperCamelCase			,  UpperCamelCase					:						Dict					=			a, b
     UpperCamelCase			,  UpperCamelCase					:						int					=			1, 0
     UpperCamelCase			,  UpperCamelCase					:						Union[str, Any]					=			0, 1
  
     while remainder != 0:
        UpperCamelCase					:						str					=			old_remainder // remainder
        UpperCamelCase			,  UpperCamelCase					:						Union[str, Any]					=			remainder, old_remainder - quotient * remainder
        UpperCamelCase			,  UpperCamelCase					:						List[Any]					=			coeff_a, old_coeff_a - quotient * coeff_a
        UpperCamelCase			,  UpperCamelCase					:						Optional[Any]					=			coeff_b, old_coeff_b - quotient * coeff_b
  
     # sign correction for negative numbers
     if a < 0:
        UpperCamelCase					:						Dict					=			-old_coeff_a
     if b < 0:
        UpperCamelCase					:						Any					=			-old_coeff_b
  
     return old_coeff_a, old_coeff_b
  def 	UpperCamelCase			(     )			->  Tuple:
     if len(sys.argv			) < 3:
        print('2 integer arguments required'			)
        return 1
     UpperCamelCase					:						Union[str, Any]					=			int(sys.argv[1]			)
     UpperCamelCase					:						Optional[int]					=			int(sys.argv[2]			)
     print(extended_euclidean_algorithm(snake_case__ ,  snake_case__			)			)
     return 0
  
  
  if __name__ == "__main__":
      raise SystemExit(main())
  
  
  
  