unionfind | idiomatic implementation of a weighted Union Find | Natural Language Processing library

Provided your array access ids[x] is in constant time O(1), the time complexity of the union method is linear in the length of the array ids. So

When you do this:

You want Union-Find by Rank

Code

Source

UPDATE 21-Oct-19: Deprecated Git/Simpler Way in favor of new AndroidOpenCVGradlePlugin

UPDATE 22-May-18: Added missing step number 6.

UPDATE 10-May-17: New solution provides proper integration of OpenCV into application with CMake and Android Gradle plugin 2.3.1. Tested using Android Studio 2.3.1.

UPDATE 11-May-17: An additional solution has been provided

There are two ways of including OpenCV.

Using AndroidOpenCVGradlePlugin

Visit https://github.com/ahasbini/AndroidOpenCVGradlePlugin for more details.

Git/Simpler Way

Visit https://github.com/ahasbini/Android-OpenCV for more details.

Manual/Advanced Way

To include OpenCV libraries into Android Studio Project, its best to create a new Library Module in the project and port the files from OpenCV Android SDK bundle into it:

1. Create a new module by selecting File>New Module.
2. Select "Android Library", and then enter the details:
   • Library name: OpenCV
   • Module name: opencv
   • Package name: org.opencv
3. Once the new module created, copy the contents of path_to_opencv_sdk/sdk/java/src directory into path_to_your_project/opencv/src/main/java.
4. Under main, create the following directly path: aidl/org/opencv/engine and move main/java/org/opencv/engine/OpenCVEngineInterface.aidl into it.
5. Copy the contents of path_to_opencv_sdk/sdk/java/res into path_to_your_project/opencv/src/main/res.
6. Create sdk folder inside path_to_your_project/opencv/src/ and copy path_to_opencv_sdk/sdk/native folder into it.
7. Within the opencv module, create CMakeLists.txt file and add the following lines in the following order:

You are confusing the function sorted(iterable[, key][, reverse]) with the list method sort(*, key=None, reverse=None).

Where sorted according to the documentation does: "Return a new sorted list from the items in iterable." While sort according to documentationd does: This method sorts the list in place, using only < comparisons between items. Exceptions are not suppressed - if any comparison operations fail, the entire sort operation will fail (and the list will likely be left in a partially modified state).

So for your code to work you need to change: sorted(edge_list, key=lambda vertex: vertex.weight) to edge_list.sort(key=lambda vertex: vertex.weight)

This assuming that everything else is correct in your code

You're supposed to use Kruskal's algorithm to find a minimum cost spanning tree consisting of the existing edges and broken (repaired) edges:

https://en.wikipedia.org/wiki/Kruskal%27s_algorithm

Just consider the existing edges to have 0 cost, while the broken edges have their repair cost.

Some of the older versions of algorithms don't have algo.getNodeById() included. If you can try to use the latest graph algorithms, not sure how this works with Neo4j Desktop, but I would try to reinstall them. You could also upgrade your Desktop version.

If none of this is available remember that algo.getNodeById() just matches the node by its internal ID and you can get the same functionality by using the following.

One of the problems you have is that count(*) will always be 1 as you are also aggregating by each node. Remember that Neo4j has implied grouping, where it will group by all elements in the row.

One can get the count of nodes with prop=True with a simple sum(CASE WHEN ...) statement

Solution:

The best way would be to install the APOC plug-in to Neo4j so that you can use the UUID function apoc.create.uuid() in Cypher. (so that it can be generated, and assigned, in the same transaction)

To create 1 uuid per partition, you will need to use WITH to store the uuid in a temporary variable. It will be run per row, so you need to do it once you have one partition