NaN values can pass the validation since NaN values don't work
with float arithmetic and comparisons are always true. Now validation
function has check for NaN values.
HRW library supports weighted sorting. Weights must be normalized
before applying. Since there could be different types of normalization
for multiple criteria, there is no point to perform simple
normalization in this library. Pass a slice of normalized weights
to the `SortByWeight` functions.
This commit proposes to:
- remove normalization routine from `SortByWeight` function;
- add `ValidateWeights` function to check if weights are normalized;
- rename `weight` -> `distance` to avoid naming confusion between
hash distance and actual weights;
- use testify lib in the tests;
* Added weighted HRW sorting
This commit proposes renaming of old `SortByWeight` functions to `Sort`
and implementation of `SortByWeight` function with explicit weights in
arguments. `SortByWeight` function calculates normalized hashes of
nodes and normalized input weights. Then multiplies these values to
obtain node's actual weight for later sorting.
- renamed `SortByWeight` function to `Sort`
- added `SortByWeight`, `SortSliceByWeightValue` and
`SortSliceBeWeightIndex` functions
- moved code with reflection processing into `prepareRule` function
- added tests and benchmarks for new weighted functions
- added benchmark results into README
* Fixed comments
