





import logging
import os

from .state import PartialState


class        __magic_name__	(				logging.LoggerAdapter				):





     """simple docstring"""



     @staticmethod
     def     SCREAMING_SNAKE_CASE		(				snake_case							:Union[str, Any]	):





        '''simple docstring'''




        A_       :					Union[str, Any]        =      PartialState()
        return not main_process_only or (main_process_only and state.is_main_process)





     def     SCREAMING_SNAKE_CASE		(				self							:Union[str, Any]      ,   snake_case							:Any      ,   snake_case							:int      ,   *snake_case							:Union[str, Any]      ,   **snake_case							:Optional[Any]	):





        '''simple docstring'''




        if PartialState._shared_state == {}:
           raise RuntimeError(
               "You must initialize the accelerate state by calling either `PartialState()` or `Accelerator()` before using the logging utility."	)
        A_       :					int        =      kwargs.pop("main_process_only"      ,   snake_case__	)
        A_       :					Optional[Any]        =      kwargs.pop("in_order"      ,   snake_case__	)

        if self.isEnabledFor(snake_case__	):
           if self._should_log(snake_case__	):
              A_       :					Union[str, Any]        =      self.process(snake_case__      ,   snake_case__	)
              self.logger.log(snake_case__      ,   snake_case__      ,   *snake_case__      ,   **snake_case__	)

           elif in_order:
              A_       :					Dict        =      PartialState()
              for i in range(state.num_processes	):
                 if i == state.process_index:
                    A_       :					List[str]        =      self.process(snake_case__      ,   snake_case__	)
                    self.logger.log(snake_case__      ,   snake_case__      ,   *snake_case__      ,   **snake_case__	)
                 state.wait_for_everyone()




def   __snake_case    (       _lowerCAmelCase			:			str					,					_lowerCAmelCase			:			str = None						)			->    int:
   if log_level is None:
      A_       :					Any        =      os.environ.get("ACCELERATE_LOG_LEVEL"					,					__lowerCamelCase						)
   A_       :					Union[str, Any]        =      logging.getLogger(__lowerCamelCase						)
   if log_level is not None:
      logger.setLevel(log_level.upper()						)
      logger.root.setLevel(log_level.upper()						)
   return MultiProcessAdapter(__lowerCamelCase					,					{}						)


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





