
from ..utils import (
    OptionalDependencyNotAvailable,
    is_flax_available,
    is_scipy_available,
    is_torch_available,
    is_torchsde_available,
)


try:
							if not is_torch_available():
														raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
							from ..utils.dummy_pt_objects import *  # noqa F403
else:
							from .scheduling_consistency_models import CMStochasticIterativeScheduler
							from .scheduling_ddim import DDIMScheduler
							from .scheduling_ddim_inverse import DDIMInverseScheduler
							from .scheduling_ddim_parallel import DDIMParallelScheduler
							from .scheduling_ddpm import DDPMScheduler
							from .scheduling_ddpm_parallel import DDPMParallelScheduler
							from .scheduling_deis_multistep import DEISMultistepScheduler
							from .scheduling_dpmsolver_multistep import DPMSolverMultistepScheduler
							from .scheduling_dpmsolver_multistep_inverse import DPMSolverMultistepInverseScheduler
							from .scheduling_dpmsolver_singlestep import DPMSolverSinglestepScheduler
							from .scheduling_euler_ancestral_discrete import EulerAncestralDiscreteScheduler
							from .scheduling_euler_discrete import EulerDiscreteScheduler
							from .scheduling_heun_discrete import HeunDiscreteScheduler
							from .scheduling_ipndm import IPNDMScheduler
							from .scheduling_k_dpm_2_ancestral_discrete import KDPMaAncestralDiscreteScheduler
							from .scheduling_k_dpm_2_discrete import KDPMaDiscreteScheduler
							from .scheduling_karras_ve import KarrasVeScheduler
							from .scheduling_pndm import PNDMScheduler
							from .scheduling_repaint import RePaintScheduler
							from .scheduling_sde_ve import ScoreSdeVeScheduler
							from .scheduling_sde_vp import ScoreSdeVpScheduler
							from .scheduling_unclip import UnCLIPScheduler
							from .scheduling_unipc_multistep import UniPCMultistepScheduler
							from .scheduling_utils import KarrasDiffusionSchedulers, SchedulerMixin
							from .scheduling_vq_diffusion import VQDiffusionScheduler

try:
							if not is_flax_available():
														raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
							from ..utils.dummy_flax_objects import *  # noqa F403
else:
							from .scheduling_ddim_flax import FlaxDDIMScheduler
							from .scheduling_ddpm_flax import FlaxDDPMScheduler
							from .scheduling_dpmsolver_multistep_flax import FlaxDPMSolverMultistepScheduler
							from .scheduling_karras_ve_flax import FlaxKarrasVeScheduler
							from .scheduling_lms_discrete_flax import FlaxLMSDiscreteScheduler
							from .scheduling_pndm_flax import FlaxPNDMScheduler
							from .scheduling_sde_ve_flax import FlaxScoreSdeVeScheduler
							from .scheduling_utils_flax import (
							    FlaxKarrasDiffusionSchedulers,
							    FlaxSchedulerMixin,
							    FlaxSchedulerOutput,
							    broadcast_to_shape_from_left,
							)


try:
							if not (is_torch_available() and is_scipy_available()):
														raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
							from ..utils.dummy_torch_and_scipy_objects import *  # noqa F403
else:
							from .scheduling_lms_discrete import LMSDiscreteScheduler

try:
							if not (is_torch_available() and is_torchsde_available()):
														raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
							from ..utils.dummy_torch_and_torchsde_objects import *  # noqa F403
else:
							from .scheduling_dpmsolver_sde import DPMSolverSDEScheduler






import unittest
from dataclasses import dataclass

import pytest

from accelerate.commands.config.config_args import SageMakerConfig
from accelerate.utils import ComputeEnvironment
from accelerate.utils.launch import _convert_nargs_to_dict







@dataclass
class     lowercase		( SCREAMING_SNAKE_CASE__		):
							lowercase_	:	int	 =ComputeEnvironment.AMAZON_SAGEMAKER
							lowercase_	:	Optional[int]	 =True
							lowercase_	:	Any	 ='''ml.p3.2xlarge'''
							lowercase_	:	Any	 ='''accelerate_sagemaker_execution_role'''
							lowercase_	:	Union[str, Any]	 ='''hf-sm'''
							lowercase_	:	Any	 ='''us-east-1'''
							lowercase_	:	List[str]	 =1
							lowercase_	:	Any	 ='''accelerate-sagemaker-1'''
							lowercase_	:	Union[str, Any]	 ='''1.6'''
							lowercase_	:	Any	 ='''4.4'''
							lowercase_	:	Any	 ='''train.py'''
							lowercase_	:	int	 =[
							    '''--model_name_or_path''',
							    '''bert''',
							    '''--do_train''',
							    '''False''',
							    '''--epochs''',
							    '''3''',
							    '''--learning_rate''',
							    '''5e-5''',
							    '''--max_steps''',
							    '''50.5''',
							]
							lowercase_	:	List[Any]	 =[
							    '''--model_name_or_path''',
							    '''bert''',
							    '''--do_train''',
							    '''--do_test''',
							    '''False''',
							    '''--do_predict''',
							    '''--epochs''',
							    '''3''',
							    '''--learning_rate''',
							    '''5e-5''',
							    '''--max_steps''',
							    '''50.5''',
							]







class     lowercase		( unittest.TestCase		):




							def 			A__				(    self):
												# If no defaults are changed, `to_kwargs` returns an empty dict.
												lowercase						     =						_convert_nargs_to_dict(MockLaunchConfig.success_training_script_args)
												assert isinstance(converted_args['''model_name_or_path''']       ,A__)
												assert isinstance(converted_args['''do_train''']       ,A__)
												assert isinstance(converted_args['''epochs''']       ,A__)
												assert isinstance(converted_args['''learning_rate''']       ,A__)
												assert isinstance(converted_args['''max_steps''']       ,A__)

												with pytest.raises(A__):
																	_convert_nargs_to_dict(MockLaunchConfig.fail_training_script_args)




