


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_					(    _UpperCamelCase    ):
							_lowerCamelCase				: List[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]			,       ):
								pass







class 			lowerCamelCase_					(    _UpperCamelCase    ):
							_lowerCamelCase				: 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, 3]			,       ):
								pass







class 			lowerCamelCase_					(    _UpperCamelCase    ):
							_lowerCamelCase				: 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]			,       ):
								pass







class 			lowerCamelCase_					(    _UpperCamelCase    ):
							_lowerCamelCase				: 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, 5]			,       _SCREAMING_SNAKE_CASE=[5, 4]			,       ):
								pass







class 			lowerCamelCase_					(    unittest.TestCase    ):





							def   __magic_name__      (							self    ):





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





							def   __magic_name__      (							self    ):
								a_     			=   SampleObject()
								a_     			=   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
								a_     			=   SampleObject(_name_or_path="""lalala"""    )
								a_     			=   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
								a_     			=   SampleObject(c=6    )
								a_     			=   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.
								a_     			=   SampleObject(1			,       c=6    )
								a_     			=   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   __magic_name__      (							self    ):
								a_     			=   SampleObject()
								a_     			=   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    )
									a_     			=   SampleObject.from_config(SampleObject.load_config(_SCREAMING_SNAKE_CASE    )    )
									a_     			=   new_obj.config

								# unfreeze configs
								a_     			=   dict(_SCREAMING_SNAKE_CASE    )
								a_     			=   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   __magic_name__      (							self    ):
								a_     			=   logging.get_logger("""diffusers.configuration_utils"""    )
								# 30 for warning
								logger.setLevel(30    )

								with CaptureLogger(_SCREAMING_SNAKE_CASE    ) as cap_logger:
									a_     			=   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   __magic_name__      (							self    ):
								a_     			=   logging.get_logger("""diffusers.configuration_utils"""    )
								# 30 for warning
								logger.setLevel(30    )

								with CaptureLogger(_SCREAMING_SNAKE_CASE    ) as cap_logger:
									a_     			=   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   __magic_name__      (							self    ):
								a_     			=   logging.get_logger("""diffusers.configuration_utils"""    )
								# 30 for warning
								logger.setLevel(30    )

								with CaptureLogger(_SCREAMING_SNAKE_CASE    ) as cap_logger:
									a_     			=   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   __magic_name__      (							self    ):
								a_     			=   logging.get_logger("""diffusers.configuration_utils"""    )
								# 30 for warning
								logger.setLevel(30    )

								with CaptureLogger(_SCREAMING_SNAKE_CASE    ) as cap_logger:
									a_     			=   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   __magic_name__      (							self    ):
								a_     			=   logging.get_logger("""diffusers.configuration_utils"""    )
								# 30 for warning
								logger.setLevel(30    )

								with CaptureLogger(_SCREAMING_SNAKE_CASE    ) as cap_logger:
									a_     			=   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:
									a_     			=   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   __magic_name__      (							self    ):
								a_     			=   logging.get_logger("""diffusers.configuration_utils"""    )
								# 30 for warning
								logger.setLevel(30    )

								with CaptureLogger(_SCREAMING_SNAKE_CASE    ) as cap_logger:
									a_     			=   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   __magic_name__      (							self    ):
								a_     			=   SampleObject()

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

								config.config._use_default_values.pop()
								a_     			=   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 warnings

from ...utils import logging
from .image_processing_vit import ViTImageProcessor


_snake_case							:   Tuple	  =       logging.get_logger(__name__)




class 							__lowercase(							_UpperCamelCase	):






						def __init__(       self     ,    *_SCREAMING_SNAKE_CASE     ,    **_SCREAMING_SNAKE_CASE)      ->	None:




											"""simple docstring"""





											warnings.warn(
											    'The class ViTFeatureExtractor is deprecated and will be removed in version 5 of Transformers. Please'
											    ' use ViTImageProcessor instead.'     ,    _SCREAMING_SNAKE_CASE     ,    )
											super().__init__(*_SCREAMING_SNAKE_CASE     ,    **_SCREAMING_SNAKE_CASE)