




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











"""simple docstring"""



SCREAMING_SNAKE_CASE    =	"Alexander Joslin"

import operator as op

from .stack import Stack







def   _SCREAMING_SNAKE_CASE       (							lowercase_						)						->		int:
 A__	=    {"*": op.mul, "/": op.truediv, "+": op.add, "-": op.sub}

 A__	=    Stack()
 A__	=    Stack()

 for i in equation:
  if i.isdigit():
   # RULE 1
   operand_stack.push(int(lowercase_						)						)
  elif i in operators:
   # RULE 2
   operator_stack.push(lowercase_						)
  elif i == ")":
   # RULE 4
   A__	=    operator_stack.peek()
   operator_stack.pop()
   A__	=    operand_stack.peek()
   operand_stack.pop()
   A__	=    operand_stack.peek()
   operand_stack.pop()

   A__	=    operators[opr](lowercase_      ,			lowercase_						)
   operand_stack.push(lowercase_						)

    # RULE 5
 return operand_stack.peek()


if __name__ == "__main__":
      SCREAMING_SNAKE_CASE    =	"(5 + ((4 * 2) * (2 + 3)))"
      # answer = 45
      print(f'{equation} = {dijkstras_two_stack_algorithm(equation)}')





