




"""simple docstring"""

def   UpperCamelCase__     (		lowercase__  :     str   ):
		snake_case		:						str								=				0
		for letter in data:
				snake_case		:						Optional[int]								=				(hash_ << 4) + ord(lowercase__   )
				snake_case		:						str								=				hash_ & 0xF0_000_000
				if x != 0:
						hash_ ^= x >> 24
				hash_ &= ~x
		return hash_


if __name__ == "__main__":
							import doctest

							doctest.testmod()







"""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 			lowerCamelCase__    (  lowerCamelCase_			):
			a__ :      int								=     """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]				, ):



					"""simple docstring"""







					pass







class 			lowerCamelCase__    (  lowerCamelCase_			):
			a__ :      Dict								=     """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]				, ):



					"""simple docstring"""







					pass







class 			lowerCamelCase__    (  lowerCamelCase_			):
			a__ :      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]				, SCREAMING_SNAKE_CASE=[1, 3]				, ):



					"""simple docstring"""







					pass







class 			lowerCamelCase__    (  lowerCamelCase_			):
			a__ :      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]				, ):



					"""simple docstring"""







					pass







class 			lowerCamelCase__    (  unittest.TestCase			):


			def 							lowerCamelCase_				(     self							):



					"""simple docstring"""







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


			def 							lowerCamelCase_				(     self							):



					"""simple docstring"""







					snake_case		:						Dict								=				SampleObject()
					snake_case		:						Dict								=				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
					snake_case		:						Dict								=				SampleObject(_name_or_path="lalala"							)
					snake_case		:						List[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]

					# can override default
					snake_case		:						str								=				SampleObject(c=6							)
					snake_case		:						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.
					snake_case		:						int								=				SampleObject(1				, c=6							)
					snake_case		:						Dict								=				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 							lowerCamelCase_				(     self							):



					"""simple docstring"""







					snake_case		:						str								=				SampleObject()
					snake_case		:						List[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							)
							snake_case		:						Union[str, Any]								=				SampleObject.from_config(SampleObject.load_config(SCREAMING_SNAKE_CASE							)							)
							snake_case		:						Union[str, Any]								=				new_obj.config

					# unfreeze configs
					snake_case		:						List[str]								=				dict(SCREAMING_SNAKE_CASE							)
					snake_case		:						Union[str, Any]								=				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 							lowerCamelCase_				(     self							):



					"""simple docstring"""







					snake_case		:						List[Any]								=				logging.get_logger("diffusers.configuration_utils"							)
					# 30 for warning
					logger.setLevel(30							)

					with CaptureLogger(SCREAMING_SNAKE_CASE							) as cap_logger:
							snake_case		:						Any								=				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 							lowerCamelCase_				(     self							):



					"""simple docstring"""







					snake_case		:						int								=				logging.get_logger("diffusers.configuration_utils"							)
					# 30 for warning
					logger.setLevel(30							)

					with CaptureLogger(SCREAMING_SNAKE_CASE							) as cap_logger:
							snake_case		:						Optional[int]								=				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 							lowerCamelCase_				(     self							):



					"""simple docstring"""







					snake_case		:						Any								=				logging.get_logger("diffusers.configuration_utils"							)
					# 30 for warning
					logger.setLevel(30							)

					with CaptureLogger(SCREAMING_SNAKE_CASE							) as cap_logger:
							snake_case		:						Union[str, 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 							lowerCamelCase_				(     self							):



					"""simple docstring"""







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

					with CaptureLogger(SCREAMING_SNAKE_CASE							) as cap_logger:
							snake_case		:						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 							lowerCamelCase_				(     self							):



					"""simple docstring"""







					snake_case		:						str								=				logging.get_logger("diffusers.configuration_utils"							)
					# 30 for warning
					logger.setLevel(30							)

					with CaptureLogger(SCREAMING_SNAKE_CASE							) as cap_logger:
							snake_case		:						List[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:
							snake_case		:						Optional[int]								=				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 							lowerCamelCase_				(     self							):



					"""simple docstring"""







					snake_case		:						Dict								=				logging.get_logger("diffusers.configuration_utils"							)
					# 30 for warning
					logger.setLevel(30							)

					with CaptureLogger(SCREAMING_SNAKE_CASE							) as cap_logger:
							snake_case		:						Union[str, 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 							lowerCamelCase_				(     self							):



					"""simple docstring"""







					snake_case		:						Optional[Any]								=				SampleObject()

					snake_case		:						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`
							snake_case		:						Optional[int]								=				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`
					snake_case		:						Tuple								=				SampleObjecta.from_config(config.config							)
					assert new_config.f == [5, 4]

					config.config._use_default_values.pop()
					snake_case		:						List[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]

