

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 	__magic_name__				(       lowerCamelCase_							):
     UpperCamelCase_  :int								=			"""config.json"""






     @register_to_config
     def __init__(							self		,	_lowercase=2		,	_lowercase=5		,	_lowercase=(2, 5)		,	_lowercase="for diffusion"		,	_lowercase=[1, 3]		,	)->    Optional[Any]:
         pass






class 	__magic_name__				(       lowerCamelCase_							):
     UpperCamelCase_  :Dict								=			"""config.json"""






     @register_to_config
     def __init__(							self		,	_lowercase=2		,	_lowercase=5		,	_lowercase=(2, 5)		,	_lowercase="for diffusion"		,	_lowercase=[1, 3]		,	)->    Dict:
         pass






class 	__magic_name__				(       lowerCamelCase_							):
     UpperCamelCase_  :Union[str, Any]								=			"""config.json"""






     @register_to_config
     def __init__(							self		,	_lowercase=2		,	_lowercase=5		,	_lowercase=(2, 5)		,	_lowercase="for diffusion"		,	_lowercase=[1, 3]		,	_lowercase=[1, 3]		,	)->    Any:
         pass






class 	__magic_name__				(       lowerCamelCase_							):
     UpperCamelCase_  :Tuple								=			"""config.json"""






     @register_to_config
     def __init__(							self		,	_lowercase=2		,	_lowercase=5		,	_lowercase=(2, 5)		,	_lowercase="for diffusion"		,	_lowercase=[1, 5]		,	_lowercase=[5, 4]		,	)->    Union[str, Any]:
         pass






class 	__magic_name__				(       unittest.TestCase							):






     def   UpperCAmelCase_							(							self  )->    Optional[Any]:







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






     def   UpperCAmelCase_							(							self  )->    str:
         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  )->    str:
         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(_lowercase  )
             UpperCamelCase_      =	SampleObject.from_config(SampleObject.load_config(_lowercase  )  )
             UpperCamelCase_      =	new_obj.config

         # unfreeze configs
         UpperCamelCase_      =	dict(_lowercase  )
         UpperCamelCase_      =	dict(_lowercase  )

         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  )->    Union[str, Any]:
         UpperCamelCase_      =	logging.get_logger("diffusers.configuration_utils"  )
         # 30 for warning
         logger.setLevel(30  )

         with CaptureLogger(_lowercase  ) 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[int]:
         UpperCamelCase_      =	logging.get_logger("diffusers.configuration_utils"  )
         # 30 for warning
         logger.setLevel(30  )

         with CaptureLogger(_lowercase  ) 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:
         UpperCamelCase_      =	logging.get_logger("diffusers.configuration_utils"  )
         # 30 for warning
         logger.setLevel(30  )

         with CaptureLogger(_lowercase  ) 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  )->    int:
         UpperCamelCase_      =	logging.get_logger("diffusers.configuration_utils"  )
         # 30 for warning
         logger.setLevel(30  )

         with CaptureLogger(_lowercase  ) 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  )->    Union[str, Any]:
         UpperCamelCase_      =	logging.get_logger("diffusers.configuration_utils"  )
         # 30 for warning
         logger.setLevel(30  )

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

         with CaptureLogger(_lowercase  ) 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  )->    List[Any]:
         UpperCamelCase_      =	logging.get_logger("diffusers.configuration_utils"  )
         # 30 for warning
         logger.setLevel(30  )

         with CaptureLogger(_lowercase  ) 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  )->    Optional[Any]:
         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(_lowercase  )

             # now loading it with SampleObject2 should put f into `_use_default_values`
             UpperCamelCase_      =	SampleObjecta.from_config(_lowercase  )

             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]



def  lowerCAmelCase(			SCREAMING_SNAKE_CASE_ ,	SCREAMING_SNAKE_CASE_ ,	SCREAMING_SNAKE_CASE_ )->	str:



    """simple docstring"""






    if power < 0:
        return -1
    base %= mod
    UpperCamelCase_      =	1

    while power > 0:
        if power & 1:
            UpperCamelCase_      =	(result * base) % mod
        UpperCamelCase_      =	power >> 1
        UpperCamelCase_      =	(base * base) % mod

    return result




def  lowerCAmelCase(			)->	Tuple:



    """simple docstring"""






    print(modular_exponential(3 ,	2_0_0 ,	1_3 ) )


if __name__ == "__main__":
 import doctest

 doctest.testmod()

 main()
