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 os
import tempfile
import unittest

from transformers.models.marian.convert_marian_tatoeba_to_pytorch import DEFAULT_REPO, TatoebaConverter
from transformers.testing_utils import slow
from transformers.utils import cached_property





@unittest.skipUnless(os.path.exists(UpperCAmelCase_     )		,				'Tatoeba directory does not exist.'     )
class      A							(				unittest.TestCase     ):


   @cached_property
   def 			lowercase_      (self     :						Optional[int]		)						->				List[Any]:
         """simple docstring"""



         UpperCAmelCase__								=  tempfile.mkdtemp()
         return TatoebaConverter(save_dir=__UpperCAmelCase		)


   @slow
   def 			lowercase_      (self     :						List[Any]		)						->				Optional[int]:
         """simple docstring"""



         self.resolver.convert_models(["heb-eng"]		)





   @slow
   def 			lowercase_      (self     :						Dict		)						->				List[str]:
         """simple docstring"""



         UpperCAmelCase__		,      UpperCAmelCase__								=  self.resolver.write_model_card("opus-mt-he-en"       ,  dry_run=__UpperCAmelCase		)
         assert mmeta["long_pair"] == "heb-eng"



