prompt: We are currently solving the following issue within our repository. Here is the issue text:
  --- BEGIN ISSUE ---
  Double import
  I noticed that in `networkx/algorithms/__init__.py`the statement `from networkx.algorithms.triads import *` occurs twice. Is there any reason for this or is this just a blunder?
  
  --- END ISSUE ---
  
  Below are some code segments, each from a relevant file. One or more of these files may contain bugs.
  --- BEGIN FILES ---
  Path: `networkx/algorithms/__init__.py`
  Content:
  ```
  1 from networkx.algorithms.assortativity import *
  2 from networkx.algorithms.boundary import *
  3 from networkx.algorithms.bridges import *
  4 from networkx.algorithms.chains import *
  5 from networkx.algorithms.centrality import *
  6 from networkx.algorithms.chordal import *
  7 from networkx.algorithms.cluster import *
  8 from networkx.algorithms.clique import *
  9 from networkx.algorithms.communicability_alg import *
  10 from networkx.algorithms.components import *
  11 from networkx.algorithms.coloring import *
  12 from networkx.algorithms.core import *
  13 from networkx.algorithms.covering import *
  14 from networkx.algorithms.cycles import *
  15 from networkx.algorithms.cuts import *
  16 from networkx.algorithms.dag import *
  17 from networkx.algorithms.distance_measures import *
  18 from networkx.algorithms.distance_regular import *
  19 from networkx.algorithms.dominance import *
  20 from networkx.algorithms.dominating import *
  21 from networkx.algorithms.efficiency import *
  22 from networkx.algorithms.euler import *
  23 from networkx.algorithms.graphical import *
  24 from networkx.algorithms.hierarchy import *
  25 from networkx.algorithms.hybrid import *
  26 from networkx.algorithms.link_analysis import *
  27 from networkx.algorithms.link_prediction import *
  28 from networkx.algorithms.lowest_common_ancestors import *
  29 from networkx.algorithms.isolate import *
  30 from networkx.algorithms.matching import *
  31 from networkx.algorithms.minors import *
  32 from networkx.algorithms.mis import *
  33 from networkx.algorithms.operators import *
  34 from networkx.algorithms.planarity import *
  35 from networkx.algorithms.reciprocity import *
  36 from networkx.algorithms.richclub import *
  37 from networkx.algorithms.shortest_paths import *
  38 from networkx.algorithms.similarity import *
  39 from networkx.algorithms.simple_paths import *
  40 from networkx.algorithms.smallworld import *
  41 from networkx.algorithms.smetric import *
  42 from networkx.algorithms.structuralholes import *
  43 from networkx.algorithms.triads import *
  44 from networkx.algorithms.sparsifiers import *
  45 from networkx.algorithms.swap import *
  46 from networkx.algorithms.traversal import *
  47 from networkx.algorithms.triads import *
  48 from networkx.algorithms.vitality import *
  49 from networkx.algorithms.voronoi import *
  50 from networkx.algorithms.wiener import *
  51 
  52 # Make certain subpackages available to the user as direct imports from
  53 # the `networkx` namespace.
  54 import networkx.algorithms.assortativity
  55 import networkx.algorithms.bipartite
  56 import networkx.algorithms.node_classification
  57 import networkx.algorithms.centrality
  58 import networkx.algorithms.chordal
  59 import networkx.algorithms.cluster
  60 import networkx.algorithms.clique
  61 import networkx.algorithms.components
  62 import networkx.algorithms.connectivity
  63 import networkx.algorithms.community
  64 import networkx.algorithms.coloring
  65 import networkx.algorithms.flow
  66 import networkx.algorithms.isomorphism
  67 import networkx.algorithms.link_analysis
  68 import networkx.algorithms.lowest_common_ancestors
  69 import networkx.algorithms.operators
  70 import networkx.algorithms.shortest_paths
  71 import networkx.algorithms.tournament
  72 import networkx.algorithms.traversal
  73 import networkx.algorithms.tree
  74 
  75 # Make certain functions from some of the previous subpackages available
  76 # to the user as direct imports from the `networkx` namespace.
  77 from networkx.algorithms.bipartite import complete_bipartite_graph
  78 from networkx.algorithms.bipartite import is_bipartite
  79 from networkx.algorithms.bipartite import project
  80 from networkx.algorithms.bipartite import projected_graph
  81 from networkx.algorithms.connectivity import all_pairs_node_connectivity
  82 from networkx.algorithms.connectivity import all_node_cuts
  83 from networkx.algorithms.connectivity import average_node_connectivity
  84 from networkx.algorithms.connectivity import edge_connectivity
  85 from networkx.algorithms.connectivity import edge_disjoint_paths
  86 from networkx.algorithms.connectivity import k_components
  87 from networkx.algorithms.connectivity import k_edge_components
  88 from networkx.algorithms.connectivity import k_edge_subgraphs
  89 from networkx.algorithms.connectivity import k_edge_augmentation
  90 from networkx.algorithms.connectivity import is_k_edge_connected
  91 from networkx.algorithms.connectivity import minimum_edge_cut
  92 from networkx.algorithms.connectivity import minimum_node_cut
  93 from networkx.algorithms.connectivity import node_connectivity
  94 from networkx.algorithms.connectivity import node_disjoint_paths
  95 from networkx.algorithms.connectivity import stoer_wagner
  96 from networkx.algorithms.flow import capacity_scaling
  97 from networkx.algorithms.flow import cost_of_flow
  98 from networkx.algorithms.flow import gomory_hu_tree
  99 from networkx.algorithms.flow import max_flow_min_cost
  100 from networkx.algorithms.flow import maximum_flow
  101 from networkx.algorithms.flow import maximum_flow_value
  102 from networkx.algorithms.flow import min_cost_flow
  103 from networkx.algorithms.flow import min_cost_flow_cost
  104 from networkx.algorithms.flow import minimum_cut
  105 from networkx.algorithms.flow import minimum_cut_value
  106 from networkx.algorithms.flow import network_simplex
  107 from networkx.algorithms.isomorphism import could_be_isomorphic
  108 from networkx.algorithms.isomorphism import fast_could_be_isomorphic
  109 from networkx.algorithms.isomorphism import faster_could_be_isomorphic
  110 from networkx.algorithms.isomorphism import is_isomorphic
  111 from networkx.algorithms.tree.branchings import maximum_branching
  112 from networkx.algorithms.tree.branchings import maximum_spanning_arborescence
  113 from networkx.algorithms.tree.branchings import minimum_branching
  114 from networkx.algorithms.tree.branchings import minimum_spanning_arborescence
  115 from networkx.algorithms.tree.coding import *
  116 from networkx.algorithms.tree.operations import *
  117 from networkx.algorithms.tree.recognition import *
  118 from networkx.algorithms.tree.mst import *
  119
  ```
  --- END FILES ---
  
  Please first localize the bug based on the issue statement, and then generate a patch according to the `git diff` format fenced by three backticks.
  
  Here is an example:
  
  ```diff
  diff --git a/examples/server_async.py b/examples/server_async.py
  --- a/examples/server_async.py
  +++ b/examples/server_async.py
  @@ -313,4 +313,4 @@
   
   
   if __name__ == "__main__":
  -    asyncio.run(run_async_server("."), debug=True)
  +    asyncio.run(run_async_server(), debug=True)
  diff --git a/examples/server_sync.py b/examples/server_sync.py
  --- a/examples/server_sync.py
  +++ b/examples/server_sync.py
  @@ -313,5 +313,5 @@
   
   
   if __name__ == "__main__":
  -    server = run_sync_server(".")
  +    server = run_sync_server()
       server.shutdown()
  
  ```
  
golden_diff: diff --git a/networkx/algorithms/__init__.py b/networkx/algorithms/__init__.py
  --- a/networkx/algorithms/__init__.py
  +++ b/networkx/algorithms/__init__.py
  @@ -40,7 +40,6 @@
   from networkx.algorithms.smallworld import *
   from networkx.algorithms.smetric import *
   from networkx.algorithms.structuralholes import *
  -from networkx.algorithms.triads import *
   from networkx.algorithms.sparsifiers import *
   from networkx.algorithms.swap import *
   from networkx.algorithms.traversal import *
  
verification_info: {"golden_diff": "diff --git a/networkx/algorithms/__init__.py b/networkx/algorithms/__init__.py\n--- a/networkx/algorithms/__init__.py\n+++ b/networkx/algorithms/__init__.py\n@@ -40,7 +40,6 @@\n from networkx.algorithms.smallworld import *\n from networkx.algorithms.smetric import *\n from networkx.algorithms.structuralholes import *\n-from networkx.algorithms.triads import *\n from networkx.algorithms.sparsifiers import *\n from networkx.algorithms.swap import *\n from networkx.algorithms.traversal import *\n", "issue": "Double import\nI noticed that in `networkx/algorithms/__init__.py`the statement `from networkx.algorithms.triads import *` occurs twice. Is there any reason for this or is this just a blunder?\n", "before_files": [{"content": "from networkx.algorithms.assortativity import *\nfrom networkx.algorithms.boundary import *\nfrom networkx.algorithms.bridges import *\nfrom networkx.algorithms.chains import *\nfrom networkx.algorithms.centrality import *\nfrom networkx.algorithms.chordal import *\nfrom networkx.algorithms.cluster import *\nfrom networkx.algorithms.clique import *\nfrom networkx.algorithms.communicability_alg import *\nfrom networkx.algorithms.components import *\nfrom networkx.algorithms.coloring import *\nfrom networkx.algorithms.core import *\nfrom networkx.algorithms.covering import *\nfrom networkx.algorithms.cycles import *\nfrom networkx.algorithms.cuts import *\nfrom networkx.algorithms.dag import *\nfrom networkx.algorithms.distance_measures import *\nfrom networkx.algorithms.distance_regular import *\nfrom networkx.algorithms.dominance import *\nfrom networkx.algorithms.dominating import *\nfrom networkx.algorithms.efficiency import *\nfrom networkx.algorithms.euler import *\nfrom networkx.algorithms.graphical import *\nfrom networkx.algorithms.hierarchy import *\nfrom networkx.algorithms.hybrid import *\nfrom networkx.algorithms.link_analysis import *\nfrom networkx.algorithms.link_prediction import *\nfrom networkx.algorithms.lowest_common_ancestors import *\nfrom networkx.algorithms.isolate import *\nfrom networkx.algorithms.matching import *\nfrom networkx.algorithms.minors import *\nfrom networkx.algorithms.mis import *\nfrom networkx.algorithms.operators import *\nfrom networkx.algorithms.planarity import *\nfrom networkx.algorithms.reciprocity import *\nfrom networkx.algorithms.richclub import *\nfrom networkx.algorithms.shortest_paths import *\nfrom networkx.algorithms.similarity import *\nfrom networkx.algorithms.simple_paths import *\nfrom networkx.algorithms.smallworld import *\nfrom networkx.algorithms.smetric import *\nfrom networkx.algorithms.structuralholes import *\nfrom networkx.algorithms.triads import *\nfrom networkx.algorithms.sparsifiers import *\nfrom networkx.algorithms.swap import *\nfrom networkx.algorithms.traversal import *\nfrom networkx.algorithms.triads import *\nfrom networkx.algorithms.vitality import *\nfrom networkx.algorithms.voronoi import *\nfrom networkx.algorithms.wiener import *\n\n# Make certain subpackages available to the user as direct imports from\n# the `networkx` namespace.\nimport networkx.algorithms.assortativity\nimport networkx.algorithms.bipartite\nimport networkx.algorithms.node_classification\nimport networkx.algorithms.centrality\nimport networkx.algorithms.chordal\nimport networkx.algorithms.cluster\nimport networkx.algorithms.clique\nimport networkx.algorithms.components\nimport networkx.algorithms.connectivity\nimport networkx.algorithms.community\nimport networkx.algorithms.coloring\nimport networkx.algorithms.flow\nimport networkx.algorithms.isomorphism\nimport networkx.algorithms.link_analysis\nimport networkx.algorithms.lowest_common_ancestors\nimport networkx.algorithms.operators\nimport networkx.algorithms.shortest_paths\nimport networkx.algorithms.tournament\nimport networkx.algorithms.traversal\nimport networkx.algorithms.tree\n\n# Make certain functions from some of the previous subpackages available\n# to the user as direct imports from the `networkx` namespace.\nfrom networkx.algorithms.bipartite import complete_bipartite_graph\nfrom networkx.algorithms.bipartite import is_bipartite\nfrom networkx.algorithms.bipartite import project\nfrom networkx.algorithms.bipartite import projected_graph\nfrom networkx.algorithms.connectivity import all_pairs_node_connectivity\nfrom networkx.algorithms.connectivity import all_node_cuts\nfrom networkx.algorithms.connectivity import average_node_connectivity\nfrom networkx.algorithms.connectivity import edge_connectivity\nfrom networkx.algorithms.connectivity import edge_disjoint_paths\nfrom networkx.algorithms.connectivity import k_components\nfrom networkx.algorithms.connectivity import k_edge_components\nfrom networkx.algorithms.connectivity import k_edge_subgraphs\nfrom networkx.algorithms.connectivity import k_edge_augmentation\nfrom networkx.algorithms.connectivity import is_k_edge_connected\nfrom networkx.algorithms.connectivity import minimum_edge_cut\nfrom networkx.algorithms.connectivity import minimum_node_cut\nfrom networkx.algorithms.connectivity import node_connectivity\nfrom networkx.algorithms.connectivity import node_disjoint_paths\nfrom networkx.algorithms.connectivity import stoer_wagner\nfrom networkx.algorithms.flow import capacity_scaling\nfrom networkx.algorithms.flow import cost_of_flow\nfrom networkx.algorithms.flow import gomory_hu_tree\nfrom networkx.algorithms.flow import max_flow_min_cost\nfrom networkx.algorithms.flow import maximum_flow\nfrom networkx.algorithms.flow import maximum_flow_value\nfrom networkx.algorithms.flow import min_cost_flow\nfrom networkx.algorithms.flow import min_cost_flow_cost\nfrom networkx.algorithms.flow import minimum_cut\nfrom networkx.algorithms.flow import minimum_cut_value\nfrom networkx.algorithms.flow import network_simplex\nfrom networkx.algorithms.isomorphism import could_be_isomorphic\nfrom networkx.algorithms.isomorphism import fast_could_be_isomorphic\nfrom networkx.algorithms.isomorphism import faster_could_be_isomorphic\nfrom networkx.algorithms.isomorphism import is_isomorphic\nfrom networkx.algorithms.tree.branchings import maximum_branching\nfrom networkx.algorithms.tree.branchings import maximum_spanning_arborescence\nfrom networkx.algorithms.tree.branchings import minimum_branching\nfrom networkx.algorithms.tree.branchings import minimum_spanning_arborescence\nfrom networkx.algorithms.tree.coding import *\nfrom networkx.algorithms.tree.operations import *\nfrom networkx.algorithms.tree.recognition import *\nfrom networkx.algorithms.tree.mst import *\n", "path": "networkx/algorithms/__init__.py"}], "after_files": [{"content": "from networkx.algorithms.assortativity import *\nfrom networkx.algorithms.boundary import *\nfrom networkx.algorithms.bridges import *\nfrom networkx.algorithms.chains import *\nfrom networkx.algorithms.centrality import *\nfrom networkx.algorithms.chordal import *\nfrom networkx.algorithms.cluster import *\nfrom networkx.algorithms.clique import *\nfrom networkx.algorithms.communicability_alg import *\nfrom networkx.algorithms.components import *\nfrom networkx.algorithms.coloring import *\nfrom networkx.algorithms.core import *\nfrom networkx.algorithms.covering import *\nfrom networkx.algorithms.cycles import *\nfrom networkx.algorithms.cuts import *\nfrom networkx.algorithms.dag import *\nfrom networkx.algorithms.distance_measures import *\nfrom networkx.algorithms.distance_regular import *\nfrom networkx.algorithms.dominance import *\nfrom networkx.algorithms.dominating import *\nfrom networkx.algorithms.efficiency import *\nfrom networkx.algorithms.euler import *\nfrom networkx.algorithms.graphical import *\nfrom networkx.algorithms.hierarchy import *\nfrom networkx.algorithms.hybrid import *\nfrom networkx.algorithms.link_analysis import *\nfrom networkx.algorithms.link_prediction import *\nfrom networkx.algorithms.lowest_common_ancestors import *\nfrom networkx.algorithms.isolate import *\nfrom networkx.algorithms.matching import *\nfrom networkx.algorithms.minors import *\nfrom networkx.algorithms.mis import *\nfrom networkx.algorithms.operators import *\nfrom networkx.algorithms.planarity import *\nfrom networkx.algorithms.reciprocity import *\nfrom networkx.algorithms.richclub import *\nfrom networkx.algorithms.shortest_paths import *\nfrom networkx.algorithms.similarity import *\nfrom networkx.algorithms.simple_paths import *\nfrom networkx.algorithms.smallworld import *\nfrom networkx.algorithms.smetric import *\nfrom networkx.algorithms.structuralholes import *\nfrom networkx.algorithms.sparsifiers import *\nfrom networkx.algorithms.swap import *\nfrom networkx.algorithms.traversal import *\nfrom networkx.algorithms.triads import *\nfrom networkx.algorithms.vitality import *\nfrom networkx.algorithms.voronoi import *\nfrom networkx.algorithms.wiener import *\n\n# Make certain subpackages available to the user as direct imports from\n# the `networkx` namespace.\nimport networkx.algorithms.assortativity\nimport networkx.algorithms.bipartite\nimport networkx.algorithms.node_classification\nimport networkx.algorithms.centrality\nimport networkx.algorithms.chordal\nimport networkx.algorithms.cluster\nimport networkx.algorithms.clique\nimport networkx.algorithms.components\nimport networkx.algorithms.connectivity\nimport networkx.algorithms.community\nimport networkx.algorithms.coloring\nimport networkx.algorithms.flow\nimport networkx.algorithms.isomorphism\nimport networkx.algorithms.link_analysis\nimport networkx.algorithms.lowest_common_ancestors\nimport networkx.algorithms.operators\nimport networkx.algorithms.shortest_paths\nimport networkx.algorithms.tournament\nimport networkx.algorithms.traversal\nimport networkx.algorithms.tree\n\n# Make certain functions from some of the previous subpackages available\n# to the user as direct imports from the `networkx` namespace.\nfrom networkx.algorithms.bipartite import complete_bipartite_graph\nfrom networkx.algorithms.bipartite import is_bipartite\nfrom networkx.algorithms.bipartite import project\nfrom networkx.algorithms.bipartite import projected_graph\nfrom networkx.algorithms.connectivity import all_pairs_node_connectivity\nfrom networkx.algorithms.connectivity import all_node_cuts\nfrom networkx.algorithms.connectivity import average_node_connectivity\nfrom networkx.algorithms.connectivity import edge_connectivity\nfrom networkx.algorithms.connectivity import edge_disjoint_paths\nfrom networkx.algorithms.connectivity import k_components\nfrom networkx.algorithms.connectivity import k_edge_components\nfrom networkx.algorithms.connectivity import k_edge_subgraphs\nfrom networkx.algorithms.connectivity import k_edge_augmentation\nfrom networkx.algorithms.connectivity import is_k_edge_connected\nfrom networkx.algorithms.connectivity import minimum_edge_cut\nfrom networkx.algorithms.connectivity import minimum_node_cut\nfrom networkx.algorithms.connectivity import node_connectivity\nfrom networkx.algorithms.connectivity import node_disjoint_paths\nfrom networkx.algorithms.connectivity import stoer_wagner\nfrom networkx.algorithms.flow import capacity_scaling\nfrom networkx.algorithms.flow import cost_of_flow\nfrom networkx.algorithms.flow import gomory_hu_tree\nfrom networkx.algorithms.flow import max_flow_min_cost\nfrom networkx.algorithms.flow import maximum_flow\nfrom networkx.algorithms.flow import maximum_flow_value\nfrom networkx.algorithms.flow import min_cost_flow\nfrom networkx.algorithms.flow import min_cost_flow_cost\nfrom networkx.algorithms.flow import minimum_cut\nfrom networkx.algorithms.flow import minimum_cut_value\nfrom networkx.algorithms.flow import network_simplex\nfrom networkx.algorithms.isomorphism import could_be_isomorphic\nfrom networkx.algorithms.isomorphism import fast_could_be_isomorphic\nfrom networkx.algorithms.isomorphism import faster_could_be_isomorphic\nfrom networkx.algorithms.isomorphism import is_isomorphic\nfrom networkx.algorithms.tree.branchings import maximum_branching\nfrom networkx.algorithms.tree.branchings import maximum_spanning_arborescence\nfrom networkx.algorithms.tree.branchings import minimum_branching\nfrom networkx.algorithms.tree.branchings import minimum_spanning_arborescence\nfrom networkx.algorithms.tree.coding import *\nfrom networkx.algorithms.tree.operations import *\nfrom networkx.algorithms.tree.recognition import *\nfrom networkx.algorithms.tree.mst import *\n", "path": "networkx/algorithms/__init__.py"}]}