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Version 1.9.2
* Removed redundant assignment (issue #422 @fluber)
* Removed unnecessary null checks before delete (issue #420 @elfring)
* Reverted PR #424 due to lack of portability
* fscanf fix (PR #467 @rdelfin)
* Out of bounds check (modified PR #455 @legrosbuffle, also included in PR #319 @seth-planet)
* Fixed MacOS build (PR #470 @johnhe4, modified for linux)
* Fixed build system with dummy.c hack (PR #457 @pemmanuelviel)
* Fixed misleading indentation in util/any.h (PR #365 @psteinb, also PR #428, #430, #459)
* Included datasets in repo
* Correct typo in definition (PR #419 @SergioRAgostinho)
* Fix typos (PR #279 @gadomski)
* CMakefile CUDA sources fix (PR #458 @pemmanuelviel)
* Documentation fix (PR #456 @pemmanuelviel)
* Scoping issue fix (PR #405 @greenbrettmichael, also PR #469, issue #386)
* Documentation fixes (PR #460 @pemmanuelviel)
* Changed return value (PR #461 @pemmanuelviel)
* Fixed CUDA crash - guarantee prealloc > 0 (PR #437 @neka-rat)
* Fixed wrong variable use (PR #433 @XinyiYS)
* Fixed RNG initialization (PR #424 @SiddhantRanade)
* Updated link to PDF (PR #474 @kleinma)
Version 1.6.11
* bug fixes
Version 1.6.10
* fixed a radiusSearch bug introduced in 1.6.9
Version 1.6.9
* bug fixes
* fixed radius search bug on MSVC compiler
* fixed windows linking problems
Version 1.6.8
* bug fixes, low dimensional search speedup
Version 1.6.7
* bug fixes
Version 1.6.6
* misc bug fixes
Version 1.6.5
* fix compilation problem on some C++ compilers
* fixes in the python bindings
Version 1.6.4
* small bug fix
Version 1.6.3
* radius search speedup
Version 1.6.2
* slight API changes to the C++ bindings, now the main index type is templated
* on the distance functor which makes it easier to use custom distances
* new kd-tree implementation optimized for low dimensionality data
* experimental MPI support for cluster computing
Version 1.5
* new C++ templated API
* saving/loading of indices to disk
* threadsafe search
* new distance types (thanks to Radu Bogdan Rusu and Romain Thibaux for the patch)
* (api change) autotuned is no longer selected by passing a precision >0, it's used when the algorithm type is set to autotuned
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