graph-algorithms
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steps to reproduce
Write a loop, from 1 to 80000, each time add a random int to the max heap.
In theory it takes very little time(NlogN, N=80000, <1sec ), but the program does take a long time.
I'v also tested the BinaryHeap in https://github.com/SolutionsDesign/Algorithmia, it performs well, so it is probably due to the bad algorithm.
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We need to move the execution of CLI scripts used to build the documentation into a Make file. Wise suggestion from @louisguitton: DerwenAI/pytextrank#159 (comment)
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Feature description (Mandatory)
Please add the capability to specify the type of array instead of defaulting to string. i.e.
apoc.array.int()
How this feature can improve the project?
By default, it is created as a string. Some customers have asked for the ability to hint at the data type.
Start from the develop
branch and add to examples/simple:
- igraph_assortativity.c, which calls the function igraph_assortativity (in /src/misc/mixing.c) with some graph and prints out the result,
- igraph_assortativity.out which contains the correct printed result.
Then, add the example to tests/CMakeLists.txt and to the docs of the function in /src/misc/mixing.c
For an example of a si
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When using
networkx.readwrite.json_graph.tree_data
to returns data in tree format that is suitable for JSON serialization and then convert this data back usingnetworkx.readwrite.json_graph.tree_graph
, you lose the Graph attributes.Current Behaviour
For example the following is the current behaviour
>>