


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"""




from __future__ import annotations

from math import pi






def       _SCREAMING_SNAKE_CASE		(	_lowercase						:    float    ,       _lowercase						:    float    ,       _lowercase						:    float					) ->dict[str, float]:






	'''simple docstring'''






	if (inductance, frequency, reactance).count(0					) != 1:
		raise ValueError("One and only one argument must be 0"					)
	if inductance < 0:
		raise ValueError("Inductance cannot be negative"					)
	if frequency < 0:
		raise ValueError("Frequency cannot be negative"					)
	if reactance < 0:
		raise ValueError("Inductive reactance cannot be negative"					)
	if inductance == 0:
		return {"inductance": reactance / (2 * pi * frequency)}
	elif frequency == 0:
		return {"frequency": reactance / (2 * pi * inductance)}
	elif reactance == 0:
		return {"reactance": 2 * pi * frequency * inductance}
	else:
		raise ValueError("Exactly one argument must be 0"					)


if __name__ == "__main__":
		import doctest

		doctest.testmod()


