
'''simple docstring'''

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 				A       (		SCREAMING_SNAKE_CASE__      ):
	snake_case__ :int				       =       'config.json'





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


				"""simple docstring"""

				pass






class 				A       (		SCREAMING_SNAKE_CASE__      ):
	snake_case__ :Optional[Any]				       =       'config.json'





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


				"""simple docstring"""

				pass






class 				A       (		SCREAMING_SNAKE_CASE__      ):
	snake_case__ :Any				       =       'config.json'





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


				"""simple docstring"""

				pass






class 				A       (		SCREAMING_SNAKE_CASE__      ):
	snake_case__ :List[str]				       =       'config.json'





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


				"""simple docstring"""

				pass






class 				A       (		unittest.TestCase      ):





	def 							__SCREAMING_SNAKE_CASE					(   self     :    Dict							):


				"""simple docstring"""

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





	def 							__SCREAMING_SNAKE_CASE					(   self     :    Union[str, Any]							):


				"""simple docstring"""

				lowerCAmelCase__									=							SampleObject()
				lowerCAmelCase__									=							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
				lowerCAmelCase__									=							SampleObject(_name_or_path="lalala"							)
				lowerCAmelCase__									=							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
				lowerCAmelCase__									=							SampleObject(c=6							)
				lowerCAmelCase__									=							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.
				lowerCAmelCase__									=							SampleObject(1 ,							c=6							)
				lowerCAmelCase__									=							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 							__SCREAMING_SNAKE_CASE					(   self     :    List[str]							):


				"""simple docstring"""

				lowerCAmelCase__									=							SampleObject()
				lowerCAmelCase__									=							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(__magic_name__							)
							lowerCAmelCase__									=							SampleObject.from_config(SampleObject.load_config(__magic_name__							)							)
							lowerCAmelCase__									=							new_obj.config

				# unfreeze configs
				lowerCAmelCase__									=							dict(__magic_name__							)
				lowerCAmelCase__									=							dict(__magic_name__							)

				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 							__SCREAMING_SNAKE_CASE					(   self     :    List[str]							):


				"""simple docstring"""

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

				with CaptureLogger(__magic_name__							) as cap_logger:
							lowerCAmelCase__									=							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 							__SCREAMING_SNAKE_CASE					(   self     :    Optional[Any]							):


				"""simple docstring"""

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

				with CaptureLogger(__magic_name__							) as cap_logger:
							lowerCAmelCase__									=							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 							__SCREAMING_SNAKE_CASE					(   self     :    List[str]							):


				"""simple docstring"""

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

				with CaptureLogger(__magic_name__							) as cap_logger:
							lowerCAmelCase__									=							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 							__SCREAMING_SNAKE_CASE					(   self     :    Optional[int]							):


				"""simple docstring"""

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

				with CaptureLogger(__magic_name__							) as cap_logger:
							lowerCAmelCase__									=							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 							__SCREAMING_SNAKE_CASE					(   self     :    str							):


				"""simple docstring"""

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

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

				with CaptureLogger(__magic_name__							) as cap_logger_a:
							lowerCAmelCase__									=							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 							__SCREAMING_SNAKE_CASE					(   self     :    Optional[Any]							):


				"""simple docstring"""

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

				with CaptureLogger(__magic_name__							) as cap_logger:
							lowerCAmelCase__									=							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 							__SCREAMING_SNAKE_CASE					(   self     :    Any							):


				"""simple docstring"""

				lowerCAmelCase__									=							SampleObject()

				lowerCAmelCase__									=							{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(__magic_name__							)

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

							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`
				lowerCAmelCase__									=							SampleObjecta.from_config(config.config							)
				assert new_config.f == [5, 4]

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







'''simple docstring'''

import math







def 					A       ( UpperCamelCase_   :       int )   ->    list:







			'''simple docstring'''



			if n <= 0:
						raise ValueError("Only positive integers have prime factors" )
			lowerCAmelCase__									=							[]
			while n % 2 == 0:
						pf.append(2 )
						lowerCAmelCase__									=							int(n / 2 )
			for i in range(3  ,		int(math.sqrt(UpperCamelCase_ ) ) + 1  ,		2 ):
						while n % i == 0:
									pf.append(UpperCamelCase_ )
									lowerCAmelCase__									=							int(n / i )
			if n > 2:
						pf.append(UpperCamelCase_ )
			return pf







def 					A       ( UpperCamelCase_   :       int )   ->    int:







			'''simple docstring'''



			if n <= 0:
						raise ValueError("Only positive numbers are accepted" )
			lowerCAmelCase__									=							1
			lowerCAmelCase__									=							1
			while n % 2 == 0:
						temp += 1
						lowerCAmelCase__									=							int(n / 2 )
			div *= temp
			for i in range(3  ,		int(math.sqrt(UpperCamelCase_ ) ) + 1  ,		2 ):
						lowerCAmelCase__									=							1
						while n % i == 0:
									temp += 1
									lowerCAmelCase__									=							int(n / i )
						div *= temp
			if n > 1:
						div *= 2
			return div







def 					A       ( UpperCamelCase_   :       int )   ->    int:







			'''simple docstring'''



			if n <= 0:
						raise ValueError("Only positive numbers are accepted" )
			lowerCAmelCase__									=							1
			lowerCAmelCase__									=							1
			while n % 2 == 0:
						temp += 1
						lowerCAmelCase__									=							int(n / 2 )
			if temp > 1:
						s *= (2**temp - 1) / (2 - 1)
			for i in range(3  ,		int(math.sqrt(UpperCamelCase_ ) ) + 1  ,		2 ):
						lowerCAmelCase__									=							1
						while n % i == 0:
									temp += 1
									lowerCAmelCase__									=							int(n / i )
						if temp > 1:
									s *= (i**temp - 1) / (i - 1)
			return int(UpperCamelCase_ )







def 					A       ( UpperCamelCase_   :       int )   ->    int:







			'''simple docstring'''



			lowerCAmelCase__									=							n
			for x in set(prime_factors(UpperCamelCase_ ) ):
						s *= (x - 1) / x
			return int(UpperCamelCase_ )


if __name__ == "__main__":
		import doctest

		doctest.testmod()





