//erode snowballs: Fix assignment to global variable; slightly refactor changelog

Sincce we've got a number of bugfixes here and the changelog is getting 
a bit longer, I've split bugfixes up.
This commit is contained in:
Starbeamrainbowlabs 2021-05-22 01:39:59 +01:00
parent 912371f5b6
commit 75a5f14f01
Signed by: sbrl
GPG key ID: 1BE5172E637709C2
2 changed files with 7 additions and 4 deletions

View file

@ -5,8 +5,6 @@ Note to self: See the bottom of this file for the release template text.
## v1.12: The selection tools update (unreleased)
- Add `//spush`, `//spop`, and `//sstack`
- `//overlay`: Don't place nodes above water
- `//multi`: Improve resilience by handling some edge cases
- Add `//srect` (_select rectangle_), `//scol` (_select column_), `//scube` (_select cube_) - thanks, @VorTechnix!
- Add `//scloud` (_select point cloud_), `//scentre` (_select centre node(s)_), `//srel` (_select relative_) - thanks, @VorTechnix!
- Significantly refactored backend utility functions (more to come in future updates)
@ -16,7 +14,12 @@ Note to self: See the bottom of this file for the release template text.
- Caveat: Percentages are converted to a 1-in-N chance, but additionally that number is rounded down in some places
- `//torus`, `//hollowtorus`: Add optional new axes
- `//torus`: Add optional hollow keyword
- `//layers`: Fix crash duee to outdated debug code
### Bugfixes
- `//overlay`: Don't place nodes above water
- `//multi`: Improve resilience by handling some edge cases
- `//layers`: Fix crash due to outdated debug code
- `//erode`/snowballs: Fix assignment to undeclared variable
## v1.11: The big data update (25th January 2021)

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@ -132,7 +132,7 @@ function worldeditadditions.erode.snowballs(heightmap_initial, heightmap, height
if not params.noconv then
local success, matrix = worldeditadditions.get_conv_kernel("gaussian", 3, 3)
if not success then return success, matrix end
matrix_size = {} matrix_size[0] = 3 matrix_size[1] = 3
local matrix_size = {} matrix_size[0] = 3 matrix_size[1] = 3
worldeditadditions.conv.convolve(
heightmap, heightmap_size,
matrix,