




"""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    __lowercase							(      snake_case_						):


				'''simple docstring'''


				_lowerCAmelCase						      ="config.json"

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







class    __lowercase							(      snake_case_						):


				'''simple docstring'''


				_lowerCAmelCase						      ="config.json"

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







class    __lowercase							(      snake_case_						):


				'''simple docstring'''


				_lowerCAmelCase						      ="config.json"

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







class    __lowercase							(      snake_case_						):


				'''simple docstring'''


				_lowerCAmelCase						      ="config.json"

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







class    __lowercase							(      unittest.TestCase						):


				'''simple docstring'''


				def    _lowerCamelCase       ( self :  Dict   ):
										with self.assertRaises(SCREAMING_SNAKE_CASE_   ):
																ConfigMixin.load_config('''dummy_path'''   )

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

										# init ignore private arguments
										snake_case__							:       Optional[int]				      =       SampleObject(_name_or_path='''lalala'''   )
										snake_case__							:       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]

										# can override default
										snake_case__							:       List[str]				      =       SampleObject(c=6   )
										snake_case__							:       int				      =       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__							:       str				      =       SampleObject(1   ,c=6   )
										snake_case__							:       Optional[int]				      =       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 :  Optional[Any]   ):
										snake_case__							:       Optional[int]				      =       SampleObject()
										snake_case__							:       Optional[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]

										with tempfile.TemporaryDirectory() as tmpdirname:
																obj.save_config(SCREAMING_SNAKE_CASE_   )
																snake_case__							:       Tuple				      =       SampleObject.from_config(SampleObject.load_config(SCREAMING_SNAKE_CASE_   )   )
																snake_case__							:       Optional[Any]				      =       new_obj.config

										# unfreeze configs
										snake_case__							:       Optional[Any]				      =       dict(SCREAMING_SNAKE_CASE_   )
										snake_case__							:       List[str]				      =       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 :  Any   ):
										snake_case__							:       Tuple				      =       logging.get_logger('''diffusers.configuration_utils'''   )
										# 30 for warning
										logger.setLevel(3_0   )

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

										with CaptureLogger(SCREAMING_SNAKE_CASE_   ) as cap_logger:
																snake_case__							:       Tuple				      =       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]   ):
										snake_case__							:       str				      =       logging.get_logger('''diffusers.configuration_utils'''   )
										# 30 for warning
										logger.setLevel(3_0   )

										with CaptureLogger(SCREAMING_SNAKE_CASE_   ) as cap_logger:
																snake_case__							:       Optional[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 :  Optional[Any]   ):
										snake_case__							:       List[str]				      =       logging.get_logger('''diffusers.configuration_utils'''   )
										# 30 for warning
										logger.setLevel(3_0   )

										with CaptureLogger(SCREAMING_SNAKE_CASE_   ) as cap_logger:
																snake_case__							:       int				      =       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 :  List[str]   ):
										snake_case__							:       str				      =       logging.get_logger('''diffusers.configuration_utils'''   )
										# 30 for warning
										logger.setLevel(3_0   )

										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__							:       List[Any]				      =       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 :  Optional[int]   ):
										snake_case__							:       List[str]				      =       logging.get_logger('''diffusers.configuration_utils'''   )
										# 30 for warning
										logger.setLevel(3_0   )

										with CaptureLogger(SCREAMING_SNAKE_CASE_   ) as cap_logger:
																snake_case__							:       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 :  Union[str, Any]   ):
										# let's first save a config that should be in the form
										#    a=2,
										#    b=5,
										#    c=(2, 5),
										#    d="for diffusion",
										#    e=[1, 3],

										snake_case__							:       Optional[int]				      =       SampleObject()

										snake_case__							:       int				      =       {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__							:       Any				      =       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__							:       List[str]				      =       SampleObjecta.from_config(config.config   )
										assert new_config.f == [5, 4]

										config.config._use_default_values.pop()
										snake_case__							:       int				      =       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 inspect
import os
import unittest

import torch

import accelerate
from accelerate import debug_launcher
from accelerate.test_utils import (
    execute_subprocess_async,
    require_cpu,
    require_multi_gpu,
    require_single_gpu,
    test_sync,
)
from accelerate.utils import patch_environment

class    __lowercase							(      unittest.TestCase						):


				'''simple docstring'''


				def    _lowerCamelCase       ( self :  Any   ):
										snake_case__							:       Dict				      =       inspect.getfile(accelerate.test_utils   )
										snake_case__							:       Tuple				      =       os.path.sep.join(mod_file.split(os.path.sep   )[:-1] + ['''scripts''', '''test_sync.py''']   )

				@require_cpu
				def    _lowerCamelCase       ( self :  Optional[Any]   ):
										debug_launcher(test_sync.main   ,num_processes=1   )

				@require_cpu
				def    _lowerCamelCase       ( self :  List[str]   ):
										debug_launcher(test_sync.main   )

				@require_single_gpu
				def    _lowerCamelCase       ( self :  Union[str, Any]   ):
										test_sync.main()





				@require_multi_gpu
				def    _lowerCamelCase       ( self :  List[str]   ):
										print(F'''Found {torch.cuda.device_count()} devices.'''   )
										snake_case__							:       Dict				      =       ['''torchrun''', F'''--nproc_per_node={torch.cuda.device_count()}''', self.test_file_path]
										with patch_environment(omp_num_threads=1   ):
																execute_subprocess_async(SCREAMING_SNAKE_CASE_   ,env=os.environ.copy()   )


