

"""simple docstring"""




from __future__ import annotations

A_							:			Union[str, Any]											= {
    "A": ["B", "C", "E"],
    "B": ["A", "D", "E"],
    "C": ["A", "F", "G"],
    "D": ["B"],
    "E": ["A", "B", "D"],
    "F": ["C"],
    "G": ["C"],
}





class    lowerCamelCase						:

			def __init__(					self				:						str    ,				__UpperCAmelCase				:						dict[str, list[str]]    ,				__UpperCAmelCase				:						str       )   ->    None:
						SCREAMING_SNAKE_CASE__								=      graph
						# mapping node to its parent in resulting breadth first tree
						SCREAMING_SNAKE_CASE__								=      {}
						SCREAMING_SNAKE_CASE__								=      source_vertex

			def 					SCREAMING_SNAKE_CASE				(					self				:						Optional[Any]       )   ->    None:
						SCREAMING_SNAKE_CASE__								=      {self.source_vertex}
						SCREAMING_SNAKE_CASE__								=      None
						SCREAMING_SNAKE_CASE__								=      [self.source_vertex]  # first in first out queue

						while queue:
									SCREAMING_SNAKE_CASE__								=      queue.pop(0       )
									for adjacent_vertex in self.graph[vertex]:
												if adjacent_vertex not in visited:
															visited.add(__UpperCAmelCase       )
															SCREAMING_SNAKE_CASE__								=      vertex
															queue.append(__UpperCAmelCase       )





			def 					SCREAMING_SNAKE_CASE				(					self				:						str    ,				__UpperCAmelCase				:						str       )   ->    str:
						if target_vertex == self.source_vertex:
									return self.source_vertex

						SCREAMING_SNAKE_CASE__								=      self.parent.get(__UpperCAmelCase       )
						if target_vertex_parent is None:
									SCREAMING_SNAKE_CASE__								=      (
									    F"""No path from vertex: {self.source_vertex} to vertex: {target_vertex}"""
									)
									raise ValueError(__UpperCAmelCase       )

						return self.shortest_path(__UpperCAmelCase       ) + F"""->{target_vertex}"""


if __name__ == "__main__":
						A_							:			Optional[Any]											= Graph(graph, "G")
						g.breath_first_search()
						print(g.shortest_path("D"))
						print(g.shortest_path("G"))
						print(g.shortest_path("Foo"))





"""simple docstring"""




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


