On Thursday, 9 March 2017 at 08:59:28 UTC, Ilya Yaroshenko wrote:
Hello
Ndslice got [1] lazy multidimensional concatenation and padding
utilities:
1. stack
2. pad
2. padEdge
3. padSymmetric
4. padWrap
`stack` can be used for ndslices instead of `chain`.
---
import mir.ndslice.allocation: slice;
import mir.ndslice.stack: stack;
auto d = stack(a, b, c).slice;
---
ndslice allocation and assign utilities are optimised to work
with stacks. For example the code above is significantly faster
then
---
import std.array: array;
import std.range: chain;
auto d = chain(a, b, c).array;
---
because `slice` uses external iteration for `Stack` data
structure.
[1] http://docs.algorithm.dlang.io/latest/mir_ndslice_stack.html
Best regards,
Ilya
`stack` was renamed to `concatenation` to much numpy and Matlab
