



"""simple docstring"""






from collections import defaultdict

from graphs.minimum_spanning_tree_prims import prisms_algorithm as mst






def 			snake_case_    ( ):


       '''simple docstring'''





       _lowerCamelCase     ,       _lowerCamelCase		:							Optional[int]            =					9, 14  # noqa: F841
       _lowerCamelCase		:							Dict            =					[
           [0, 1, 4],
           [0, 7, 8],
           [1, 2, 8],
           [7, 8, 7],
           [7, 6, 1],
           [2, 8, 2],
           [8, 6, 6],
           [2, 3, 7],
           [2, 5, 4],
           [6, 5, 2],
           [3, 5, 14],
           [3, 4, 9],
           [5, 4, 10],
           [1, 7, 11],
       ]

       _lowerCamelCase		:							Union[str, Any]            =					defaultdict(A_		)
       for nodea, nodea, cost in edges:
              adjancency[nodea].append([nodea, cost]		)
              adjancency[nodea].append([nodea, cost]		)

       _lowerCamelCase		:							List[str]            =					mst(A_		)

       _lowerCamelCase		:							Union[str, Any]            =					[
           [7, 6, 1],
           [2, 8, 2],
           [6, 5, 2],
           [0, 1, 4],
           [2, 5, 4],
           [2, 3, 7],
           [0, 7, 8],
           [3, 4, 9],
       ]

       for answer in expected:
              _lowerCamelCase		:							str            =					tuple(answer[:2]		)
              _lowerCamelCase		:							Union[str, Any]            =					tuple(edge[::-1]		)
              assert edge in result or reverse in result






"""simple docstring"""
# limitations under the License.

# NOTE: This file is deprecated and will be removed in a future version.
# It only exists so that temporarely `from diffusers.pipelines import DiffusionPipeline` works

from .pipelines import DiffusionPipeline, ImagePipelineOutput  # noqa: F401
from .utils import deprecate


deprecate(
    """pipelines_utils""",
    """0.22.0""",
    """Importing `DiffusionPipeline` or `ImagePipelineOutput` from diffusers.pipeline_utils is deprecated. Please import from diffusers.pipelines.pipeline_utils instead.""",
    standard_warn=False,
    stacklevel=3,
)

