






'''simple docstring'''






import math




class a_    :







   def __init__(self					,   __a=0)			->      Any:  # a graph with Node 0,1,...,N-1
      """simple docstring"""






      __snake_case				:      List[str]     							= n
      __snake_case				:      Tuple     							= [
          [math.inf for j in range(0					,   __a)] for i in range(0					,   __a)
      ]  # adjacency matrix for weight
      __snake_case				:      Union[str, Any]     							= [
          [math.inf for j in range(0					,   __a)] for i in range(0					,   __a)
      ]  # dp[i][j] stores minimum distance from i to j







   def     SCREAMING_SNAKE_CASE__					(self					,   __a					,   __a					,   __a)			->      Tuple:
      """simple docstring"""






      __snake_case				:      Union[str, Any]     							= w







   def     SCREAMING_SNAKE_CASE__					(self)			->      Tuple:
      """simple docstring"""






      for k in range(0					,   self.n):
         for i in range(0					,   self.n):
            for j in range(0					,   self.n):
               __snake_case				:      List[Any]     							= min(self.dp[i][j]					,   self.dp[i][k] + self.dp[k][j])







   def     SCREAMING_SNAKE_CASE__					(self					,   __a					,   __a)			->      Optional[int]:
      """simple docstring"""






      return self.dp[u][v]


if __name__ == "__main__":
      __A    	=   Graph(5)
      graph.add_edge(0, 2, 9)
      graph.add_edge(0, 4, 1_0)
      graph.add_edge(1, 3, 5)
      graph.add_edge(2, 3, 7)
      graph.add_edge(3, 0, 1_0)
      graph.add_edge(3, 1, 2)
      graph.add_edge(3, 2, 1)
      graph.add_edge(3, 4, 6)
      graph.add_edge(4, 1, 3)
      graph.add_edge(4, 2, 4)
      graph.add_edge(4, 3, 9)
      graph.floyd_warshall()
      graph.show_min(1, 4)
      graph.show_min(0, 3)







'''simple docstring'''






# Copyright 2023 The HuggingFace Team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
#     http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
from typing import TYPE_CHECKING

from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available


__A    	=   {'''configuration_timm_backbone''': ['''TimmBackboneConfig''']}


try:
      if not is_torch_available():
            raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
      pass
else:
      __A    	=   ['''TimmBackbone''']


if TYPE_CHECKING:
      from .configuration_timm_backbone import TimmBackboneConfig

      try:
            if not is_torch_available():
                  raise OptionalDependencyNotAvailable()
      except OptionalDependencyNotAvailable:
            pass
      else:
            from .modeling_timm_backbone import TimmBackbone

else:
      import sys

      __A    	=   _LazyModule(__name__, globals()['''__file__'''], _import_structure, module_spec=__spec__)