Traits
Functions
vector.fetch(&my_borrowed_usize_list) will return a vector of your usized picks. Error tollerant and useful for user guided selective statistics, computation of quatriles and building scrolling levels out of 8 bit character bitmaps (maybe?)
use one of two ways: genericvector.fetch(&vector_usize_index_picks) or from the function with fetch_guard(&genericvector, &your_usize_picklist)
vector.rank() borrows a generic vector and returns a usize vector list of the count of greater items for each item. A rank system described by Wassily Hoeffding in 1947 that’s like the olympics, but with a zeroth place instead of gold.
the intended us for rank() is nonparametric statistics.
the intended us for rank() is nonparametric statistics.
#Description
Rank and Fetch adds generic vector ranking and fetching features. It adds vector.rank() and vector.fetch(&my_vec__usize_picks) functionality.
rank() counts the number of items in a generic vector and returns the a vector of counts for each item greater than itself. Useful for nonparametric statistics with order rather than distances.
fetch() is intended for user specified subsampling of generic data, and tolerates index errors, but could be used for building old school 8bit character based levels.