




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				( lowercase_				):
			snake_case_   :				Optional[Any]				  =  """config.json"""







			@register_to_config
			def __init__( self					:    Tuple					,					snake_case__					:    Dict=2					,					snake_case__					:    List[str]=5					,					snake_case__					:    List[Any]=(2, 5)					,					snake_case__					:    List[Any]="for diffusion"					,					snake_case__					:    Dict=[1, 3]					,					):




									"""simple docstring"""


									pass






class 					__lowerCAmelCase				( lowercase_				):
			snake_case_   :				Optional[int]				  =  """config.json"""







			@register_to_config
			def __init__( self					:    Any					,					snake_case__					:    Union[str, Any]=2					,					snake_case__					:    Tuple=5					,					snake_case__					:    Optional[int]=(2, 5)					,					snake_case__					:    Any="for diffusion"					,					snake_case__					:    List[str]=[1, 3]					,					):




									"""simple docstring"""


									pass






class 					__lowerCAmelCase				( lowercase_				):
			snake_case_   :				Optional[int]				  =  """config.json"""







			@register_to_config
			def __init__( self					:    str					,					snake_case__					:    Dict=2					,					snake_case__					:    str=5					,					snake_case__					:    Optional[Any]=(2, 5)					,					snake_case__					:    Tuple="for diffusion"					,					snake_case__					:    List[Any]=[1, 3]					,					snake_case__					:    Optional[Any]=[1, 3]					,					):




									"""simple docstring"""


									pass






class 					__lowerCAmelCase				( lowercase_				):
			snake_case_   :				Optional[Any]				  =  """config.json"""







			@register_to_config
			def __init__( self					:    Optional[int]					,					snake_case__					:    Any=2					,					snake_case__					:    Any=5					,					snake_case__					:    int=(2, 5)					,					snake_case__					:    Optional[Any]="for diffusion"					,					snake_case__					:    List[Any]=[1, 5]					,					snake_case__					:    Union[str, Any]=[5, 4]					,					):




									"""simple docstring"""


									pass






class 					__lowerCAmelCase				( unittest.TestCase				):







			def UpperCamelCase    ( self					:    int   ):




									"""simple docstring"""


									with self.assertRaises(snake_case__   ):
															ConfigMixin.load_config("dummy_path"   )







			def UpperCamelCase    ( self					:    Any   ):




									"""simple docstring"""


									_UpperCAmelCase									=  SampleObject()
									_UpperCAmelCase									=  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									=  SampleObject(_name_or_path="lalala"   )
									_UpperCAmelCase									=  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									=  SampleObject(c=6   )
									_UpperCAmelCase									=  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									=  SampleObject(1					,					c=6   )
									_UpperCAmelCase									=  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 UpperCamelCase    ( self					:    Tuple   ):




									"""simple docstring"""


									_UpperCAmelCase									=  SampleObject()
									_UpperCAmelCase									=  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(snake_case__   )
															_UpperCAmelCase									=  SampleObject.from_config(SampleObject.load_config(snake_case__   )   )
															_UpperCAmelCase									=  new_obj.config

									# unfreeze configs
									_UpperCAmelCase									=  dict(snake_case__   )
									_UpperCAmelCase									=  dict(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 UpperCamelCase    ( self					:    List[str]   ):




									"""simple docstring"""


									_UpperCAmelCase									=  logging.get_logger("diffusers.configuration_utils"   )
									# 30 for warning
									logger.setLevel(30   )

									with CaptureLogger(snake_case__   ) as cap_logger:
															_UpperCAmelCase									=  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 UpperCamelCase    ( self					:    Optional[Any]   ):




									"""simple docstring"""


									_UpperCAmelCase									=  logging.get_logger("diffusers.configuration_utils"   )
									# 30 for warning
									logger.setLevel(30   )

									with CaptureLogger(snake_case__   ) as cap_logger:
															_UpperCAmelCase									=  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 UpperCamelCase    ( self					:    Tuple   ):




									"""simple docstring"""


									_UpperCAmelCase									=  logging.get_logger("diffusers.configuration_utils"   )
									# 30 for warning
									logger.setLevel(30   )

									with CaptureLogger(snake_case__   ) as cap_logger:
															_UpperCAmelCase									=  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 UpperCamelCase    ( self					:    Tuple   ):




									"""simple docstring"""


									_UpperCAmelCase									=  logging.get_logger("diffusers.configuration_utils"   )
									# 30 for warning
									logger.setLevel(30   )

									with CaptureLogger(snake_case__   ) as cap_logger:
															_UpperCAmelCase									=  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 UpperCamelCase    ( self					:    Optional[Any]   ):




									"""simple docstring"""


									_UpperCAmelCase									=  logging.get_logger("diffusers.configuration_utils"   )
									# 30 for warning
									logger.setLevel(30   )

									with CaptureLogger(snake_case__   ) as cap_logger:
															_UpperCAmelCase									=  DDPMScheduler.from_pretrained(
															    "hf-internal-testing/tiny-stable-diffusion-torch"					,					subfolder="scheduler"					,					prediction_type="sample"					,					beta_end=8					,					)

									with CaptureLogger(snake_case__   ) as cap_logger_a:
															_UpperCAmelCase									=  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 UpperCamelCase    ( self					:    Optional[Any]   ):




									"""simple docstring"""


									_UpperCAmelCase									=  logging.get_logger("diffusers.configuration_utils"   )
									# 30 for warning
									logger.setLevel(30   )

									with CaptureLogger(snake_case__   ) as cap_logger:
															_UpperCAmelCase									=  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 UpperCamelCase    ( self					:    List[Any]   ):




									"""simple docstring"""


									_UpperCAmelCase									=  SampleObject()

									_UpperCAmelCase									=  {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(snake_case__   )

															# now loading it with SampleObject2 should put f into `_use_default_values`
															_UpperCAmelCase									=  SampleObjecta.from_config(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									=  SampleObjecta.from_config(config.config   )
									assert new_config.f == [5, 4]

									config.config._use_default_values.pop()
									_UpperCAmelCase									=  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]








from math import exp


def 							__SCREAMING_SNAKE_CASE						(    snake_case_		):

						'''simple docstring'''


						return 8 * x - 2 * exp(-x		)


def 							__SCREAMING_SNAKE_CASE						(    snake_case_			,					snake_case_			,					snake_case_		):

						'''simple docstring'''


						_UpperCAmelCase									=  lower_bound
						_UpperCAmelCase									=  upper_bound
						for _ in range(0			,					snake_case_		):
												_UpperCAmelCase							,				_UpperCAmelCase									=  xa, xa - (f(snake_case_		) * (xa - xa)) / (f(snake_case_		) - f(snake_case_		))
						return xa


if __name__ == "__main__":
				print(f"""Example: {secant_method(1, 3, 2)}""")




