



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__       (						__SCREAMING_SNAKE_CASE      ):
						_lowerCAmelCase	    =       '''config.json'''


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


class 		lowerCamelCase__       (						__SCREAMING_SNAKE_CASE      ):
						_lowerCAmelCase	    =       '''config.json'''


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


class 		lowerCamelCase__       (						__SCREAMING_SNAKE_CASE      ):
						_lowerCAmelCase	    =       '''config.json'''


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


class 		lowerCamelCase__       (						__SCREAMING_SNAKE_CASE      ):
						_lowerCAmelCase	    =       '''config.json'''


						@register_to_config
						def __init__(       self  :     str					,				_a  :     List[str]=2					,				_a  :     Dict=5					,				_a  :     List[str]=(2, 5)					,				_a  :     Tuple="for diffusion"					,				_a  :     Tuple=[1, 5]					,				_a  :     List[Any]=[5, 4]					,				):
													pass


class 		lowerCamelCase__       (						unittest.TestCase      ):


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




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


						def      _lowerCamelCase	(       self  :     Tuple	):
													a__:				str 							=SampleObject()
													a__:				int 							=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__:				Any 							=SampleObject(_name_or_path="lalala"	)
													a__:				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
													a__:				Any 							=SampleObject(c=6	)
													a__:				List[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.
													a__:				Optional[Any] 							=SampleObject(1					,				c=6	)
													a__:				Any 							=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  :     Tuple	):
													a__:				str 							=SampleObject()
													a__:				Optional[int] 							=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(lowerCAmelCase__	)
																				a__:				Optional[int] 							=SampleObject.from_config(SampleObject.load_config(lowerCAmelCase__	)	)
																				a__:				Dict 							=new_obj.config

													# unfreeze configs
													a__:				Tuple 							=dict(lowerCAmelCase__	)
													a__:				Optional[int] 							=dict(lowerCAmelCase__	)

													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  :     Any	):
													a__:				Tuple 							=logging.get_logger("diffusers.configuration_utils"	)
													# 30 for warning
													logger.setLevel(3_0	)

													with CaptureLogger(lowerCAmelCase__	) as cap_logger:
																				a__:				Optional[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  :     str	):
													a__:				List[str] 							=logging.get_logger("diffusers.configuration_utils"	)
													# 30 for warning
													logger.setLevel(3_0	)

													with CaptureLogger(lowerCAmelCase__	) as cap_logger:
																				a__:				Optional[Any] 							=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  :     List[Any]	):
													a__:				Optional[Any] 							=logging.get_logger("diffusers.configuration_utils"	)
													# 30 for warning
													logger.setLevel(3_0	)

													with CaptureLogger(lowerCAmelCase__	) as cap_logger:
																				a__:				Dict 							=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  :     Tuple	):
													a__:				List[str] 							=logging.get_logger("diffusers.configuration_utils"	)
													# 30 for warning
													logger.setLevel(3_0	)

													with CaptureLogger(lowerCAmelCase__	) as cap_logger:
																				a__:				Optional[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  :     Optional[Any]	):
													a__:				Optional[int] 							=logging.get_logger("diffusers.configuration_utils"	)
													# 30 for warning
													logger.setLevel(3_0	)

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

													with CaptureLogger(lowerCAmelCase__	) as cap_logger_a:
																				a__:				Optional[int] 							=DDPMScheduler.from_pretrained("google/ddpm-celebahq-256"					,				beta_start=8_8	)

													assert ddpm.__class__ == DDPMScheduler
													assert ddpm.config.prediction_type == "sample"
													assert ddpm.config.beta_end == 8
													assert ddpm_a.config.beta_start == 8_8

													# no warning should be thrown
													assert cap_logger.out == ""
													assert cap_logger_a.out == ""


						def      _lowerCamelCase	(       self  :     Union[str, Any]	):
													a__:				Optional[int] 							=logging.get_logger("diffusers.configuration_utils"	)
													# 30 for warning
													logger.setLevel(3_0	)

													with CaptureLogger(lowerCAmelCase__	) as cap_logger:
																				a__:				Tuple 							=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  :     List[str]	):
													a__:				int 							=SampleObject()

													a__:				Tuple 							={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(lowerCAmelCase__	)

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

																				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__:				Optional[Any] 							=SampleObjecta.from_config(config.config	)
													assert new_config.f == [5, 4]

													config.config._use_default_values.pop()
													a__:				str 							=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 typing import TYPE_CHECKING

from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_sentencepiece_available, is_tokenizers_available


lowerCAmelCase__       :	List[Any]     				={}

try:
				if not is_sentencepiece_available():
								raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
				pass
else:
				lowerCAmelCase__       :	Optional[Any]     				=['MBart50Tokenizer']

try:
				if not is_tokenizers_available():
								raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
				pass
else:
				lowerCAmelCase__       :	Any     				=['MBart50TokenizerFast']


if TYPE_CHECKING:
				try:
								if not is_sentencepiece_available():
												raise OptionalDependencyNotAvailable()
				except OptionalDependencyNotAvailable:
								pass
				else:
								from .tokenization_mbartaa import MBartaaTokenizer

				try:
								if not is_tokenizers_available():
												raise OptionalDependencyNotAvailable()
				except OptionalDependencyNotAvailable:
								pass
				else:
								from .tokenization_mbartaa_fast import MBartaaTokenizerFast

else:
				import sys

				lowerCAmelCase__       :	Optional[int]     				=_LazyModule(__name__, globals()['__file__'], _import_structure, module_spec=__spec__)





