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ASSESSMENT SUMMARY

kd-trees

Write a data type to represent a set of points in the unit square (all points have x- and y-coordinates between 0 and 1) using a 2d-tree to support efficient range search (find all of the points contained in a query rectangle) and nearest-neighbor search (find a closest point to a query point). 2d-trees have numerous applications, ranging from classifying astronomical objects to computer animation to speeding up neural networks to mining data to image retrieval.

Compilation:  PASSED  
API:          PASSED  

SpotBugs:     PASSED  
PMD:          PASSED  
Checkstyle:   PASSED  
  
Correctness:  35/35 tests passed  
Memory:       16/16 tests passed  
Timing:       42/42 tests passed  

Aggregate score: 100.00%  
[ Compilation: 5%, API: 5%, Style: 0%, Correctness: 60%, Timing: 10%, Memory: 20% ]