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203 Commits

Author SHA1 Message Date
Zoë Gidiere 5829112a74 Merge branch 'ver/6.4.0' into dev/image-caching 2023-10-26 12:56:17 -06:00
Zoë Gidiere c41bf55b7b implement missing methods from last comit 2023-10-26 12:53:55 -06:00
Zoë Gidiere 5d12a560f1 add zero and unit vectors 2023-10-26 11:08:36 -06:00
Zoë Gidiere 6f08908bb4 merge ovre-v2 into ore(v1) 2023-10-26 10:43:13 -06:00
Zoë Gidiere 9292d3de17 Remove FastMath
hotspot has intrinsics for almost everything we use it for
2023-10-26 10:37:25 -06:00
Astrash 0149a29b04 Load correct path 2023-10-24 14:08:56 +11:00
Astrash cd8605850f Replace unload-on-timeout with timeout > 0 2023-10-24 13:47:25 +11:00
Astrash 148b8dfe35 Bump image lib patch version 2023-10-24 13:34:10 +11:00
Astrash 3f485b1825 Add to unload on timeout description 2023-10-24 13:30:09 +11:00
Astrash cb6ecff113 Remove sout 2023-10-24 13:29:53 +11:00
Astrash e30bcbf1ba Improve image caching options 2023-10-24 13:26:35 +11:00
Astrash 805f99f57a Make ore algorithm readable 2023-10-20 10:55:23 +11:00
Astrash 4e5b02ef42 Pass correct coords for ore block checks 2023-10-20 10:30:25 +11:00
Astrash e80e998cec Only log warnings with debug logging 2023-10-20 10:03:04 +11:00
Zoë fde29220af Merge pull request #419 from PolyhedralDev/dev/disable-quilt
Dev/disable quilt
2023-10-19 17:31:40 +00:00
Zoë Gidiere d3a9b57872 disable quilt 2023-10-18 19:53:59 -06:00
Zoë 4671ec5bd3 Merge pull request #417 from PolyhedralDev/dev/folia
Dev/folia
2023-10-19 01:18:45 +00:00
Zoë 9f4a8e06e1 Update DependencyConfig.kt 2023-10-17 21:00:28 -06:00
Zoë c8f2871aaa Update build.gradle.kts 2023-10-17 20:59:27 -06:00
Zoë 4a537a56aa Merge pull request #415 from PolyhedralDev/dev/ore-v2
Add updated ore-v2
2023-10-18 00:33:15 +00:00
Zoë 4917160123 Update README.md 2023-10-17 18:32:00 -06:00
Zoë b3f80dcb64 Merge pull request #410 from PolyhedralDev/dev/1.20.2
1.20.2 + update libs
2023-10-15 19:45:43 +00:00
Zoë Gidiere d49b9ccad5 Merge branch 'dev/1.20.2' into dev/folia 2023-10-14 16:02:54 -06:00
Zoë Gidiere a8387ce419 Merge remote-tracking branch 'origin/ver/6.4.0' into dev/1.20.2 2023-10-14 16:02:40 -06:00
Zoë Gidiere 94854f2bdb update versions 2023-10-14 15:55:43 -06:00
Astrashh 47f531089e Add slant locator (#413)
* Add slant locator addon

* Bump slant locator noise3d dependency version

* Fix slant locator dependency version range

* Actually fix slant locator dependency version range
2023-10-10 00:35:47 +00:00
Astrashh abd83e8278 Add number predicate addon (#412) 2023-10-10 00:35:26 +00:00
Astrash b5e7c7c112 Fix TOP locator 2023-10-10 09:44:53 +11:00
Zoë Gidiere d71f7d4c36 clarify value and change default 2023-10-03 21:03:44 -06:00
Zoë Gidiere 84898a7a6b fixes 2023-10-03 20:03:46 -06:00
Zoë Gidiere 0c1a6efc72 refractor classes 2023-10-03 19:42:15 -06:00
Zoë Gidiere 200281f140 dep orev1 2023-10-03 11:58:32 -06:00
Zoë Gidiere f1ea8074de config-ore-v2 2023-10-03 11:54:18 -06:00
Astrash f896a9a278 Bump noise3d addon minor version 2023-10-03 11:01:50 +11:00
Astrash 79b3b34669 Add slant API for noise3d 2023-10-03 09:51:39 +11:00
Zoë Gidiere ce2b964ce3 Merge branch 'dev/1.20.2' into dev/folia 2023-10-02 01:38:24 -06:00
Zoë Gidiere 0ee5f49972 quilt 2023-10-02 01:38:01 -06:00
Zoë Gidiere 3bc10cdb6a Merge branch 'dev/1.20.2' into dev/folia 2023-10-02 00:42:11 -06:00
Zoë Gidiere 86ba52850d update strata 2023-10-02 00:41:54 -06:00
Zoë Gidiere 27eebf6a47 Folia support
Co-authored-by: Janet Blackquill <uhhadd@gmail.com>
2023-10-02 00:23:19 -06:00
Zoë Gidiere 2d2bba20b6 found an untrue in read me 2023-10-01 23:22:44 -06:00
Zoë Gidiere eb3994005c fix me being fucking stupid 2023-10-01 22:46:41 -06:00
Zoë Gidiere 0a7cdb82a3 update deps + 1.20.2 2023-10-01 22:18:54 -06:00
Zoë 158deaa971 Merge pull request #408 from PolyhedralDev/dev/physics
Allows you to create a block with physics enabled
2023-10-01 19:07:15 -06:00
Astrash e51e025e9c Implement cubic spline sampler 2023-10-02 11:14:43 +11:00
Zoë Gidiere 8e0d64dccd Make bukkit work 2023-09-30 10:49:28 -06:00
Zoë Gidiere 23f47de10a fix pack loading error 2023-09-29 23:35:17 -06:00
Zoë Gidiere 89651597c2 default to info logging 2023-09-29 23:32:40 -06:00
Zoë 5c0c833b70 Update LifecycleEntryPoint.java 2023-09-29 23:09:41 -06:00
Zoë Gidiere 33d654dc8e impl fabric 2023-09-29 23:05:05 -06:00
Zoë Gidiere f0c602d7e7 implement physics on the api side
we will see if platform changes are needed
2023-09-29 22:10:03 -06:00
Zoë Gidiere 0e37a839fe We do a little commonifying 2023-09-29 21:44:12 -06:00
Astrash 3f9ead0d66 Remove repeated code in cellular sampler 2023-09-27 13:39:51 +10:00
David W 5eeb5af6c4 Add cell center offset return to CELLULAR sampler (#407)
* Add offset lookup return to cellular sampler

* bump noise function plugin version

* revert version to 1.1.0

* rename OffsetNoiseLookup, switch axis orientation

* rename return type aswell in cellcampler
2023-09-21 22:23:49 +00:00
Astrash 81e354f91c Use tectonic properly 2023-07-18 22:06:08 +10:00
Astrash aab28ff4f9 Bump version to 6.4.0 2023-07-18 14:32:12 +10:00
Astrash 0e3a756011 Bump config-noise-function to v1.1.0 2023-07-18 14:29:54 +10:00
Astrash 02198e1b88 Implement distance sampler 2023-07-18 14:29:28 +10:00
Astrash 00aeb98419 Implement translation sampler 2023-07-18 14:27:36 +10:00
Astrash 1a784b51ac Implement expression normalizer sampler 2023-07-18 14:25:07 +10:00
Astrash 34c0895c1f Make metalist injection error more user friendly 2023-07-16 22:46:23 +10:00
Astrash 379fa601a3 Meta annotate LINEAR_HEIGHTMAP sampler 2023-07-16 17:04:51 +10:00
Astrash fcbf51d80b Allow Range keys to be meta annotated 2023-07-16 11:51:51 +10:00
Astrash 9d83dfd164 Bump version to 6.3.2 2023-07-16 11:49:14 +10:00
Astrashh 72686601ee Merge pull request #406 from PolyhedralDev/ver/6.3.1
Ver/6.3.1
2023-07-15 07:04:10 +10:00
Astrash 73baaec6cd Bump version to 6.3.1 2023-07-11 09:33:57 +10:00
Astrashh 0be7213ee5 Merge pull request #401 from PolyhedralDev/dev/reduce-pipeline-caching
Reduce pipeline v2 caching
2023-06-20 10:10:35 +10:00
Astrash 3f3e2fe97c Reduce pipeline v2 caching 2023-06-20 09:57:43 +10:00
dfsek 549edd11ea update ServerCommandSourceMixin 2023-06-15 17:27:26 -07:00
dfsek 36f89946d4 update SignBlockEntityMixin 2023-06-15 17:26:04 -07:00
dfsek 18644d6100 update fabric dependencies 2023-06-15 17:22:21 -07:00
dfsek 9d38ee4329 repackage NMS 1.20.1 2023-06-15 17:18:36 -07:00
dfsek b75a8f85e4 restore NMSChunkGeneratorDelegate#getBaseColumn 2023-06-15 17:16:20 -07:00
dfsek aad58f5968 update nms imports 2023-06-15 17:14:45 -07:00
dfsek a548c30484 clean up unused bstats relocation 2023-06-15 17:11:53 -07:00
dfsek 9ba46ae3a5 make new bukkit NMS module 2023-06-15 17:11:32 -07:00
dfsek 49efbed6f5 update versions 2023-06-15 17:11:04 -07:00
dfsek 4001a56100 Merge pull request #400 from PolyhedralDev/ver/6.3.0
make forge compile
2023-06-15 15:55:49 -07:00
dfsek f46f35d2ad make forge compile 2023-06-15 15:52:36 -07:00
dfsek 70dbd2f2c0 Merge pull request #399 from PolyhedralDev/ver/6.3.0
Ver/6.3.0
2023-06-15 14:05:02 -07:00
dfsek bf1be62d54 Merge pull request #385 from PolyhedralDev/dev/img-lib
Image library
2023-06-15 14:00:44 -07:00
Astrash a5cbce3667 Optimize cardinal rotations for RotateColorSampler 2023-06-14 12:07:37 +10:00
Astrash d0591f292e Use primitive int over Integer 2023-06-14 11:15:25 +10:00
dfsek 27874ce0a5 Merge pull request #396 from ccorp2002/master
1.19.4 Support...?
2023-06-10 15:55:12 -07:00
dfsek 170687abdb remove unused mixin 2023-06-10 15:53:27 -07:00
dfsek 46b61d841d remove unneeded buildscript 2023-06-10 15:50:45 -07:00
dfsek 41b7021121 fix fabric pack reloading 2023-06-10 15:49:33 -07:00
dfsek 183255140b remove unused RegistrarInstance class 2023-06-10 15:28:46 -07:00
dfsek bea8f97179 fix bukkit pack reloading 2023-06-09 03:33:47 -07:00
dfsek 60fec05e12 Merge remote-tracking branch 'origin/ver/6.3.0'
# Conflicts:
#	build.gradle.kts
#	buildSrc/src/main/kotlin/Versions.kt
#	platforms/bukkit/build.gradle.kts
#	platforms/bukkit/nms/v1_19_R1/build.gradle.kts
#	platforms/bukkit/nms/v1_19_R2/build.gradle.kts
#	platforms/mixin-common/src/main/java/com/dfsek/terra/mod/ModPlatform.java
#	platforms/mixin-common/src/main/java/com/dfsek/terra/mod/generation/TerraBiomeSource.java
#	platforms/mixin-common/src/main/java/com/dfsek/terra/mod/util/PresetUtil.java
#	platforms/mixin-lifecycle/src/main/java/com/dfsek/terra/lifecycle/LifecyclePlatform.java
#	platforms/mixin-lifecycle/src/main/java/com/dfsek/terra/lifecycle/mixin/lifecycle/RegistryLoaderMixin.java
#	platforms/mixin-lifecycle/src/main/java/com/dfsek/terra/lifecycle/util/LifecycleUtil.java
2023-06-09 03:16:18 -07:00
dfsek e79cc21c11 1.19.4 fabric 2023-06-09 03:04:41 -07:00
Astrash 5188477a6d Merge branch 'ver/6.3.0' into dev/img-lib 2023-05-02 14:21:31 +10:00
Astrash 58b743e6e8 Distance transform documentation 2023-05-02 14:15:20 +10:00
Astrash 9fa5307a60 Remove image sampler addon
The image sampler is implemented as the 'CHANNEL' sampler provided
directly by the library-image addon instead.
2023-05-02 13:41:42 +10:00
Astrash b4ea09929c ColorUtil documentation 2023-05-02 13:37:22 +10:00
Astrash 09d847bc5a Add argb method to Channel class 2023-05-02 13:12:23 +10:00
Astrash dacddef5d6 rgb -> argb 2023-05-02 13:04:23 +10:00
Astrash 3c593c7013 Fix method call 2023-05-02 13:03:13 +10:00
Astrash 36d0ef77fb Add image support addon for biome pipeline 2023-05-02 12:58:37 +10:00
Astrash 105be0c346 Implement color parsing from strings 2023-05-02 12:58:29 +10:00
Astrash 39d21fbe08 Implement channel noise sampler 2023-05-01 13:58:56 +10:00
Astrash 50fc589001 Move distance transform to appropriate package 2023-05-01 13:58:18 +10:00
Astrash ffa55cb7a3 Implement premultiplication in ColorUtil 2023-05-01 13:57:07 +10:00
Astrash ff0985bd31 Make imagelib MathUtil 2023-05-01 13:10:58 +10:00
Astrash 622fed96e5 Use colorsampler package name instead of sampler 2023-05-01 12:48:13 +10:00
Astrash c219eff149 Implement distance transform sampler 2023-05-01 12:45:26 +10:00
Astrash 514e7065e2 Update image provider v2 readme 2023-05-01 12:02:53 +10:00
dfsek 0a16453f98 remove devlaunch lazydfu 2023-04-13 18:20:16 -07:00
dfsek ca2fe27fb3 fix preset creation 2023-04-13 18:15:35 -07:00
dfsek 6f2c01ceb3 update biome builder 2023-04-13 17:20:20 -07:00
dfsek 8b74a5dee0 implement biomeStream 2023-04-13 16:45:09 -07:00
dfsek 460a7651bc fix bukkit build 2023-04-13 16:44:01 -07:00
dfsek b7a6b839e6 Merge remote-tracking branch 'origin/dev/1.19.3'
# Conflicts:
#	buildSrc/src/main/kotlin/Versions.kt
#	platforms/bukkit/build.gradle.kts
2023-04-13 16:34:43 -07:00
dfsek 75bff93ecd update mod versions 2023-04-13 16:31:49 -07:00
dfsek 57a45f08f0 re-package bukkit 1.19.4 code 2023-04-13 16:31:41 -07:00
C_Corp2002 ba35b56016 Delete AwfulBukkitHacks.java.txt
Unneeded.
2023-04-13 15:40:13 -07:00
C_Corp2002 8fd10956e4 Update build.gradle.kts 2023-04-12 00:51:49 -07:00
C_Corp2002 9a5c1302ac Fixing...?
We gottem.
2023-04-12 00:51:12 -07:00
C_Corp2002 f918f1ef66 An attempt at 1.19.4 Support
I tried.
2023-04-09 21:08:38 -07:00
Astrash 2afcee28a6 Base key names on internal names 2023-03-01 13:39:09 +11:00
Astrash 6efff02c19 Implement stitched image support 2023-03-01 13:38:36 +11:00
Astrash d3e0831d9e Use config type based image loading
Rename `path` key to `image`
2023-03-01 13:28:45 +11:00
Astrash 345012810a Fix biome-provider-image-v2 addon manifest 2023-03-01 13:22:39 +11:00
Astrash 73e0899e7c Only use WorldEdit relative offset for v2 sponge schematics 2023-02-28 13:05:36 +11:00
Astrash 8deae0480c Add support for WorldEdit schematic relative offsets 2023-02-28 11:58:39 +11:00
Astrash 7b87498751 Don't load same image multiple times 2023-02-07 11:59:03 +11:00
Astrash 33f1aa07d3 Mark BufferedImageLoader as deprecated 2023-02-07 11:38:12 +11:00
Astrash 3ab671827d Re-add old image sampler to config-noise-function w/ deprecation notice 2023-02-07 11:31:23 +11:00
Astrash 4d17edef80 Add deprecation notice for biome-provider-image addon 2023-02-07 11:31:23 +11:00
Astrash 9d5b33f130 Re-add original image biome provider
This is so we aren't breaking existing packs
2023-02-07 11:31:23 +11:00
Astrash 97c0dcad9d Rename image lib biome provider to v2 2023-02-07 11:31:23 +11:00
Astrash ef4fe4eb7a Revert "Bump image provider major version"
This reverts commit f1bf3990c1.
2023-02-07 11:31:23 +11:00
Astrash 9514641e1e Revert "Bump config-noise-function major version"
This reverts commit 68875cc17b.
2023-02-07 11:31:23 +11:00
Astrash e6c51bcfd0 Merge branch 'ver/6.3.0' into dev/img-lib
fogor import
2023-02-07 11:30:54 +11:00
Astrash 084ecb9ad8 Forgot to delet sout 2023-02-06 20:36:28 +11:00
Astrash 5cc58babca Bump version to 6.3.0 2023-02-06 19:18:08 +11:00
Astrash b10130c5c6 Cache loaded BufferedImages 2023-02-06 19:18:08 +11:00
dfsek 5bc34eb626 update version to 6.2.2 2023-02-06 19:18:08 +11:00
dfsek 7d74245109 make forge compile 2023-02-06 19:18:08 +11:00
dfsek 11b6080413 update bukkit to 1.19.3 2023-02-06 19:18:08 +11:00
dfsek 4df23e464b begin working on Forge 2023-02-06 19:18:08 +11:00
dfsek 7ea5747f8e clean up sysout logging 2023-02-06 19:18:08 +11:00
dfsek caad76f6dd add mixin to inject flora 2023-02-06 19:18:08 +11:00
dfsek ba2f24f1f5 1.19.3 launch and enter world 2023-02-06 19:18:08 +11:00
dfsek 57bb6bca94 evil registry hacks 2023-02-06 19:18:08 +11:00
dfsek 4bb09b126a continue registry wrangling 2023-02-06 19:18:08 +11:00
dfsek ae96d8f526 fix inject parameters in NoiseConfigMixin 2023-02-06 19:18:08 +11:00
dfsek 4a918d00a3 allow registry manager to be overwritten 2023-02-06 19:18:08 +11:00
dfsek cd65785de4 fix SaveLoadingMixin 2023-02-06 19:18:08 +11:00
dfsek 51cd4cd4b7 fix RegistryMixin target class 2023-02-06 19:18:08 +11:00
dfsek e7efdd61a6 fabric compiles now 2023-02-06 19:18:08 +11:00
dfsek 0006762ff3 update platform biome delegate logic 2023-02-06 19:18:08 +11:00
dfsek 4e4627d11d update minecraft data config templates 2023-02-06 19:18:08 +11:00
dfsek 228b26f7c4 more work on evil update 2023-02-06 19:18:08 +11:00
dfsek ef846d53ad update MinecraftChunkGeneratorWrapper and its codec 2023-02-06 19:18:08 +11:00
dfsek f6f7529cb5 begin working on fabric 1.19.3 2023-02-06 19:18:08 +11:00
dfsek 606315ea64 update platform versions to 1.19.3 2023-02-06 19:18:08 +11:00
Astrash 46f7c95314 Implement BiomeProvider#getBaseBiome in pipeline v2 2023-01-30 12:57:50 +11:00
dfsek 4d826c880c update version to 6.2.2 2022-12-21 23:49:15 -07:00
dfsek 6da3acc8a1 make forge compile 2022-12-21 23:49:06 -07:00
dfsek 8fff27fddd update bukkit to 1.19.3 2022-12-21 23:00:40 -07:00
dfsek 75673b5b8e begin working on Forge 2022-12-21 21:59:39 -07:00
dfsek 5ded3552d3 clean up sysout logging 2022-12-21 21:38:40 -07:00
dfsek ded308c01c add mixin to inject flora 2022-12-21 21:34:44 -07:00
dfsek ee336b01a6 1.19.3 launch and enter world 2022-12-21 21:14:38 -07:00
dfsek 66465f27ff evil registry hacks 2022-12-21 14:41:43 -07:00
dfsek 764a4fa535 continue registry wrangling 2022-12-19 01:27:35 -07:00
dfsek 5dd5c37055 fix inject parameters in NoiseConfigMixin 2022-12-18 22:54:30 -07:00
dfsek 2e0f892fff allow registry manager to be overwritten 2022-12-18 22:53:10 -07:00
dfsek cad0e4105c fix SaveLoadingMixin 2022-12-18 22:49:59 -07:00
dfsek b10898b837 fix RegistryMixin target class 2022-12-18 22:46:57 -07:00
dfsek 6255ac7379 fabric compiles now 2022-12-18 22:44:53 -07:00
dfsek c90ca076ab update platform biome delegate logic 2022-12-18 22:44:06 -07:00
dfsek 73af05bf09 update minecraft data config templates 2022-12-18 22:39:18 -07:00
dfsek 84eab0de4a more work on evil update 2022-12-18 22:03:00 -07:00
dfsek 393a868e6a update MinecraftChunkGeneratorWrapper and its codec 2022-12-18 20:05:17 -07:00
dfsek 8955e4bb81 begin working on fabric 1.19.3 2022-12-14 19:14:16 -07:00
dfsek bae2af80c8 update platform versions to 1.19.3 2022-12-14 18:28:25 -07:00
Astrashh 6826f44770 Merge pull request #386 from PolyhedralDev/dev/dot-product-slant-again
Refactor Noise3D palettes to optionally use dot product slants
2022-11-29 13:28:23 +11:00
Astrash 1b5095dd36 Refactor Noise3d palettes to support multiple slant methods 2022-11-26 19:18:58 +11:00
Astrash 95992cc49b Don't apply align to single image fallback 2022-11-26 14:43:15 +11:00
Astrash 7b0185ba7c Add translate color sampler 2022-11-26 14:42:12 +11:00
Astrash 6b7fb82202 Put mutator color samplers in their own packages 2022-11-26 14:21:02 +11:00
Astrash f246c8ada3 Put image based color samplers in own packages 2022-11-26 14:14:15 +11:00
Astrash a97273f358 Skip color dist calc if exact match 2022-11-26 14:05:39 +11:00
Astrash 878bede60b Name changes 2022-11-26 13:52:15 +11:00
Astrash b771e108b6 Use color sampler as fallback instead of constant 2022-11-26 13:52:15 +11:00
Astrash 5c916f7758 Add rotate color sampler 2022-11-26 13:52:05 +11:00
Astrash e9db14f52c Wrap BufferedImage access 2022-11-26 13:49:10 +11:00
Astrash b3f072d689 Properly ignore alpha of lookup map 2022-11-25 14:11:16 +11:00
Astrash 4fdef98bd9 Use generic key mapping function 2022-11-25 14:10:07 +11:00
Astrash 8670c4cdf3 ColorPicker -> ColorSampler 2022-11-25 10:17:56 +11:00
Astrash 64c2a41d19 Ignore alpha channel by default with ExactColorConverter 2022-11-24 13:56:11 +11:00
Astrash 4e225a6592 Add utility methods for zero-ing color channels 2022-11-24 13:55:36 +11:00
Astrash c491ac5b24 ColorUtil.Channel getChannel() -> from() 2022-11-24 13:55:16 +11:00
Astrash 68875cc17b Bump config-noise-function major version
* Removed IMAGE sampler
2022-11-24 12:06:51 +11:00
Astrash f1bf3990c1 Bump image provider major version 2022-11-24 12:06:51 +11:00
Astrash 4334b16ded Use color pickers in image sampler 2022-11-24 12:06:51 +11:00
Astrash 274f864d6a Move channels into image lib 2022-11-24 12:06:51 +11:00
Astrash 329d94ba9c Move image sampler to separate addon 2022-11-24 12:06:51 +11:00
Astrash 03ab463723 Rewrite the image biome provider to use the image library 2022-11-24 12:06:51 +11:00
Astrash 3580267532 Image library initial implementation
*Moves the BufferedImage loader into the library, rather than being
a loader implemented in common/implementation
2022-11-24 12:06:51 +11:00
dfsek 358e09d05b Merge pull request #383 from PolyhedralDev/ver/6.2.1
6.2.1 but for real this time
2022-11-16 14:03:21 -07:00
329 changed files with 7464 additions and 1810 deletions
+1 -8
View File
@@ -47,14 +47,7 @@ JARs are produced in `platforms/<platform>/build/libs`.
To run Minecraft with Terra in the IDE (for testing) use the following tasks:
* Bukkit
* `installPaper` - Install a [Paper](https://github.com/PaperMC/Paper) test
server. (Only needs to be run once).
* `installPurpur` - Install a [Purpur](https://github.com/pl3xgaming/Purpur)
test server. (Only needs to be run once).
* `runPaper` - Run the Paper test server with Terra (`installPaper` must
have been run previously).
* `runPurpur` - Run the Purpur test server with Terra (`installPurpur` must
have been run previously).
* `runServer` - Run the Paper test server with Terra installed.
* Fabric
* `runClient` - Run a Minecraft Fabric client with Terra installed.
* `runServer` - Run a Minecraft Fabric server with Terra installed.
+3 -3
View File
@@ -1,8 +1,8 @@
preRelease(true)
versionProjects(":common:api", version("6.2.1"))
versionProjects(":common:implementation", version("6.2.1"))
versionProjects(":platforms", version("6.2.1"))
versionProjects(":common:api", version("6.4.0"))
versionProjects(":common:implementation", version("6.4.0"))
versionProjects(":platforms", version("6.4.0"))
allprojects {
+7 -15
View File
@@ -3,15 +3,6 @@ plugins {
kotlin("jvm") version embeddedKotlinVersion
}
buildscript {
configurations.all {
resolutionStrategy {
force("org.ow2.asm:asm:9.3") // TODO: remove when ShadowJar updates ASM version
force("org.ow2.asm:asm-commons:9.3")
}
}
}
repositories {
mavenCentral()
gradlePluginPortal()
@@ -24,11 +15,12 @@ repositories {
}
dependencies {
implementation("gradle.plugin.com.github.jengelman.gradle.plugins:shadow:+")
implementation("io.papermc.paperweight.userdev:io.papermc.paperweight.userdev.gradle.plugin:1.3.5")
//TODO Allow pulling from Versions.kt
implementation("com.github.johnrengelman", "shadow", "8.1.1")
implementation("io.papermc.paperweight.userdev", "io.papermc.paperweight.userdev.gradle.plugin","1.5.6")
implementation("org.ow2.asm:asm:9.3")
implementation("org.ow2.asm:asm-tree:9.3")
implementation("com.dfsek.tectonic:common:4.2.0")
implementation("org.yaml:snakeyaml:1.27")
implementation("org.ow2.asm", "asm", "9.5")
implementation("org.ow2.asm", "asm-tree", "9.5")
implementation("com.dfsek.tectonic", "common", "4.2.0")
implementation("org.yaml", "snakeyaml", "2.2")
}
+4 -1
View File
@@ -48,6 +48,9 @@ fun Project.configureDependencies() {
maven("https://jitpack.io") {
name = "JitPack"
}
maven("https://nexuslite.gcnt.net/repos/other/") {
name = "GCNT"
}
}
dependencies {
@@ -58,4 +61,4 @@ fun Project.configureDependencies() {
compileOnly("com.google.guava:guava:30.0-jre")
testImplementation("com.google.guava:guava:30.0-jre")
}
}
}
+40 -40
View File
@@ -1,70 +1,70 @@
object Versions {
object Libraries {
const val tectonic = "4.2.0"
const val paralithic = "0.7.0"
const val strata = "1.1.1"
const val tectonic = "4.2.1"
const val paralithic = "0.7.1"
const val strata = "1.3.2"
const val cloud = "1.7.0"
const val cloud = "1.8.4"
const val slf4j = "1.7.36"
const val log4j_slf4j_impl = "2.14.1"
const val slf4j = "2.0.9"
const val log4j_slf4j_impl = "2.20.0"
object Internal {
const val apacheText = "1.9"
const val jafama = "2.3.2"
const val apacheIO = "2.6"
const val fastutil = "8.5.6"
const val shadow = "8.1.1"
const val apacheText = "1.10.0"
const val apacheIO = "2.14.0"
const val guava = "32.1.3-jre"
const val asm = "9.5"
const val snakeYml = "2.2"
}
}
object Fabric {
const val fabricLoader = "0.14.8"
const val fabricAPI = "0.57.0+1.19"
}
object Quilt {
const val quiltLoader = "0.17.0"
const val fabricApi = "2.0.0-beta.4+0.57.0-1.19"
const val fabricAPI = "0.90.0+${Mod.minecraft}"
}
//
// object Quilt {
// const val quiltLoader = "0.20.2"
// const val fabricApi = "7.3.1+0.89.3-1.20.1"
// }
object Mod {
const val mixin = "0.11.2+mixin.0.8.5"
const val mixin = "0.12.5+mixin.0.8.5"
const val minecraft = "1.19"
const val yarn = "$minecraft+build.1"
const val fabricLoader = "0.14.2"
const val minecraft = "1.20.2"
const val yarn = "$minecraft+build.4"
const val fabricLoader = "0.14.23"
const val architecuryLoom = "0.12.0.290"
const val architecturyPlugin = "3.4-SNAPSHOT"
const val architecuryLoom = "1.3.357"
const val architecturyPlugin = "3.4.146"
const val loomQuiltflower = "1.7.1"
const val lazyDfu = "0.1.2"
const val loomVineflower = "1.11.0"
}
object Forge {
const val forge = "${Mod.minecraft}-41.0.63"
const val burningwave = "12.53.0"
const val forge = "${Mod.minecraft}-48.0.13"
const val burningwave = "12.63.0"
}
object Bukkit {
const val paper = "1.18.2-R0.1-SNAPSHOT"
const val paperLib = "1.0.5"
const val minecraft = "1.19.2"
const val foliaLib = "0.2.5"
const val minecraft = "1.20.2"
const val reflectionRemapper = "0.1.0-SNAPSHOT"
const val paperDevBundle = "1.19.2-R0.1-SNAPSHOT"
const val paperDevBundle = "1.20.2-R0.1-SNAPSHOT"
const val runPaper = "2.2.0"
const val paperWeight = "1.5.6"
}
object Sponge {
const val sponge = "9.0.0-SNAPSHOT"
const val mixin = "0.8.2"
const val minecraft = "1.17.1"
}
//
// object Sponge {
// const val sponge = "9.0.0-SNAPSHOT"
// const val mixin = "0.8.2"
// const val minecraft = "1.17.1"
// }
//
object CLI {
const val nbt = "6.1"
const val logback = "1.2.9"
const val commonsIO = "2.7"
const val guava = "31.0.1-jre"
const val logback = "1.4.11"
}
}
@@ -0,0 +1,21 @@
MIT License
Copyright (c) 2020-2021 Polyhedral Development
Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal
in the Software without restriction, including without limitation the rights
to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
copies of the Software, and to permit persons to whom the Software is
furnished to do so, subject to the following conditions:
The above copyright notice and this permission notice shall be included in all
copies or substantial portions of the Software.
THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
SOFTWARE.
@@ -0,0 +1,5 @@
# biome-provider-image-v2
Implements and registers the `IMAGE` biome provider, which
utilizes various config types provided by the `library-image` addon to
distribute biomes based on images.
@@ -0,0 +1,8 @@
version = version("1.0.0")
dependencies {
compileOnlyApi(project(":common:addons:manifest-addon-loader"))
compileOnlyApi(project(":common:addons:library-image"))
}
@@ -0,0 +1,51 @@
/*
* Copyright (c) 2020-2021 Polyhedral Development
*
* The Terra Core Addons are licensed under the terms of the MIT License. For more details,
* reference the LICENSE file in this module's root directory.
*/
package com.dfsek.terra.addons.biome.image.v2;
import java.util.Optional;
import com.dfsek.terra.addons.image.colorsampler.ColorSampler;
import com.dfsek.terra.addons.image.converter.ColorConverter;
import com.dfsek.terra.api.world.biome.Biome;
import com.dfsek.terra.api.world.biome.generation.BiomeProvider;
public class ImageBiomeProvider implements BiomeProvider {
private final int resolution;
private final ColorConverter<Biome> colorConverter;
private final ColorSampler colorSampler;
public ImageBiomeProvider(ColorConverter<Biome> colorConverter, ColorSampler colorSampler, int resolution) {
this.resolution = resolution;
this.colorConverter = colorConverter;
this.colorSampler = colorSampler;
}
@Override
public Biome getBiome(int x, int y, int z, long seed) {
return getBiome(x, z);
}
public Biome getBiome(int x, int z) {
x /= resolution;
z /= resolution;
return colorConverter.apply(colorSampler.apply(x, z));
}
@Override
public Optional<Biome> getBaseBiome(int x, int z, long seed) {
return Optional.of(getBiome(x, z));
}
@Override
public Iterable<Biome> getBiomes() {
return colorConverter.getEntries();
}
}
@@ -0,0 +1,74 @@
/*
* Copyright (c) 2020-2021 Polyhedral Development
*
* The Terra Core Addons are licensed under the terms of the MIT License. For more details,
* reference the LICENSE file in this module's root directory.
*/
package com.dfsek.terra.addons.biome.image.v2;
import com.dfsek.tectonic.api.config.template.object.ObjectTemplate;
import java.util.function.Supplier;
import com.dfsek.terra.addons.biome.image.v2.config.ImageProviderTemplate;
import com.dfsek.terra.addons.biome.image.v2.config.converter.ClosestBiomeColorConverterTemplate;
import com.dfsek.terra.addons.biome.image.v2.config.converter.ExactBiomeColorConverterTemplate;
import com.dfsek.terra.addons.biome.image.v2.config.converter.mapping.DefinedBiomeColorMappingTemplate;
import com.dfsek.terra.addons.image.converter.ColorConverter;
import com.dfsek.terra.addons.image.converter.mapping.BiomeDefinedColorMapping;
import com.dfsek.terra.addons.image.converter.mapping.ColorMapping;
import com.dfsek.terra.addons.manifest.api.AddonInitializer;
import com.dfsek.terra.api.Platform;
import com.dfsek.terra.api.addon.BaseAddon;
import com.dfsek.terra.api.event.events.config.pack.ConfigPackPreLoadEvent;
import com.dfsek.terra.api.event.functional.FunctionalEventHandler;
import com.dfsek.terra.api.inject.annotations.Inject;
import com.dfsek.terra.api.registry.CheckedRegistry;
import com.dfsek.terra.api.util.reflection.TypeKey;
import com.dfsek.terra.api.world.biome.Biome;
import com.dfsek.terra.api.world.biome.generation.BiomeProvider;
public class ImageBiomeProviderAddon implements AddonInitializer {
public static final TypeKey<Supplier<ObjectTemplate<BiomeProvider>>> PROVIDER_REGISTRY_KEY = new TypeKey<>() {
};
public static final TypeKey<Supplier<ObjectTemplate<ColorConverter<Biome>>>> BIOME_COLOR_CONVERTER_REGISTRY_KEY = new TypeKey<>() {
};
public static final TypeKey<Supplier<ObjectTemplate<ColorMapping<Biome>>>> BIOME_COLOR_MAPPING_REGISTRY_KEY = new TypeKey<>() {
};
@Inject
private Platform platform;
@Inject
private BaseAddon addon;
@Override
public void initialize() {
platform.getEventManager()
.getHandler(FunctionalEventHandler.class)
.register(addon, ConfigPackPreLoadEvent.class)
.priority(501)
.then(event -> {
CheckedRegistry<Supplier<ObjectTemplate<BiomeProvider>>> providerRegistry = event.getPack().getOrCreateRegistry(
PROVIDER_REGISTRY_KEY);
providerRegistry.register(addon.key("IMAGE"), ImageProviderTemplate::new);
})
.then(event -> {
CheckedRegistry<Supplier<ObjectTemplate<ColorConverter<Biome>>>> biomeColorConverterRegistry = event.getPack().getOrCreateRegistry(
BIOME_COLOR_CONVERTER_REGISTRY_KEY);
biomeColorConverterRegistry.register(addon.key("EXACT"), ExactBiomeColorConverterTemplate::new);
biomeColorConverterRegistry.register(addon.key("CLOSEST"), ClosestBiomeColorConverterTemplate::new);
})
.then(event -> {
CheckedRegistry<Supplier<ObjectTemplate<ColorMapping<Biome>>>> biomeColorMappingRegistry = event.getPack().getOrCreateRegistry(
BIOME_COLOR_MAPPING_REGISTRY_KEY);
biomeColorMappingRegistry.register(addon.key("USE_BIOME_COLORS"), () -> () -> new BiomeDefinedColorMapping<>(event.getPack().getRegistry(Biome.class), b -> b));
biomeColorMappingRegistry.register(addon.key("MAP"), DefinedBiomeColorMappingTemplate::new);
})
.failThrough();
}
}
@@ -0,0 +1,40 @@
/*
* Copyright (c) 2020-2021 Polyhedral Development
*
* The Terra Core Addons are licensed under the terms of the MIT License. For more details,
* reference the LICENSE file in this module's root directory.
*/
package com.dfsek.terra.addons.biome.image.v2.config;
import com.dfsek.tectonic.api.config.template.annotations.Default;
import com.dfsek.tectonic.api.config.template.annotations.Description;
import com.dfsek.tectonic.api.config.template.annotations.Value;
import com.dfsek.tectonic.api.config.template.object.ObjectTemplate;
import com.dfsek.terra.addons.biome.image.v2.ImageBiomeProvider;
import com.dfsek.terra.addons.image.colorsampler.ColorSampler;
import com.dfsek.terra.addons.image.converter.ColorConverter;
import com.dfsek.terra.api.world.biome.Biome;
import com.dfsek.terra.api.world.biome.generation.BiomeProvider;
@SuppressWarnings("FieldMayBeFinal")
public class ImageProviderTemplate implements ObjectTemplate<BiomeProvider> {
@Value("resolution")
@Default
@Description("Sets the resolution at which to sample the image.")
private int resolution = 1;
@Value("color-sampler")
private ColorSampler colorSampler;
@Value("color-conversion")
private ColorConverter<Biome> colorConverter;
@Override
public BiomeProvider get() {
return new ImageBiomeProvider(colorConverter, colorSampler, resolution);
}
}
@@ -0,0 +1,19 @@
package com.dfsek.terra.addons.biome.image.v2.config.converter;
import com.dfsek.tectonic.api.config.template.annotations.Value;
import com.dfsek.terra.addons.image.config.converter.ClosestColorConverterTemplate;
import com.dfsek.terra.addons.image.converter.mapping.ColorMapping;
import com.dfsek.terra.api.world.biome.Biome;
public class ClosestBiomeColorConverterTemplate extends ClosestColorConverterTemplate<Biome> {
@Value("match")
private ColorMapping<Biome> match;
@Override
protected ColorMapping<Biome> getMapping() {
return match;
}
}
@@ -0,0 +1,37 @@
package com.dfsek.terra.addons.biome.image.v2.config.converter;
import com.dfsek.tectonic.api.config.template.annotations.Default;
import com.dfsek.tectonic.api.config.template.annotations.Value;
import com.dfsek.terra.addons.image.config.converter.ExactColorConverterTemplate;
import com.dfsek.terra.addons.image.converter.mapping.ColorMapping;
import com.dfsek.terra.api.world.biome.Biome;
public class ExactBiomeColorConverterTemplate extends ExactColorConverterTemplate<Biome> {
@Value("match")
private ColorMapping<Biome> match;
@Value("else")
private Biome fallback;
@Value("ignore-alpha")
@Default
private boolean ignoreAlpha = true;
@Override
protected ColorMapping<Biome> getMapping() {
return match;
}
@Override
protected Biome getFallback() {
return fallback;
}
@Override
protected boolean ignoreAlpha() {
return ignoreAlpha;
}
}
@@ -0,0 +1,24 @@
package com.dfsek.terra.addons.biome.image.v2.config.converter.mapping;
import com.dfsek.tectonic.api.config.template.annotations.Value;
import com.dfsek.tectonic.api.config.template.object.ObjectTemplate;
import java.util.Map;
import com.dfsek.terra.addons.image.config.ColorLoader.ColorString;
import com.dfsek.terra.addons.image.converter.mapping.ColorMapping;
import com.dfsek.terra.addons.image.util.MapUtil;
import com.dfsek.terra.api.world.biome.Biome;
public class DefinedBiomeColorMappingTemplate implements ObjectTemplate<ColorMapping<Biome>> {
@Value("map")
Map<ColorString, Biome> map;
@Override
public ColorMapping<Biome> get() {
var map = MapUtil.mapKeys(this.map, ColorString::getColor);
return () -> map;
}
}
@@ -0,0 +1,14 @@
schema-version: 1
contributors:
- Terra contributors
id: biome-provider-image-v2
version: @VERSION@
entrypoints:
- "com.dfsek.terra.addons.biome.image.v2.ImageBiomeProviderAddon"
website:
issues: https://github.com/PolyhedralDev/Terra/issues
source: https://github.com/PolyhedralDev/Terra
docs: https://terra.polydev.org
license: MIT License
depends:
library-image: "1.+"
@@ -2,10 +2,6 @@ version = version("1.0.0")
dependencies {
compileOnlyApi(project(":common:addons:manifest-addon-loader"))
implementation("net.jafama", "jafama", Versions.Libraries.Internal.jafama)
testImplementation("net.jafama", "jafama", Versions.Libraries.Internal.jafama)
}
tasks.named<com.github.jengelman.gradle.plugins.shadow.tasks.ShadowJar>("shadowJar") {
relocate("net.jafama", "com.dfsek.terra.addons.biome.image.lib.jafama")
}
}
@@ -7,8 +7,6 @@
package com.dfsek.terra.addons.biome.image;
import net.jafama.FastMath;
import java.awt.Color;
import java.awt.image.BufferedImage;
import java.util.HashMap;
@@ -34,7 +32,7 @@ public class ImageBiomeProvider implements BiomeProvider {
}
private static int distance(Color a, Color b) {
return FastMath.abs(a.getRed() - b.getRed()) + FastMath.abs(a.getGreen() - b.getGreen()) + FastMath.abs(a.getBlue() - b.getBlue());
return Math.abs(a.getRed() - b.getRed()) + Math.abs(a.getGreen() - b.getGreen()) + Math.abs(a.getBlue() - b.getBlue());
}
@Override
@@ -70,14 +68,14 @@ public class ImageBiomeProvider implements BiomeProvider {
CENTER {
@Override
public Color getColor(BufferedImage image, int x, int z) {
return new Color(image.getRGB(FastMath.floorMod(x - image.getWidth() / 2, image.getWidth()),
FastMath.floorMod(z - image.getHeight() / 2, image.getHeight())));
return new Color(image.getRGB(Math.floorMod(x - image.getWidth() / 2, image.getWidth()),
Math.floorMod(z - image.getHeight() / 2, image.getHeight())));
}
},
NONE {
@Override
public Color getColor(BufferedImage image, int x, int z) {
return new Color(image.getRGB(FastMath.floorMod(x, image.getWidth()), FastMath.floorMod(z, image.getHeight())));
return new Color(image.getRGB(Math.floorMod(x, image.getWidth()), Math.floorMod(z, image.getHeight())));
}
};
@@ -8,6 +8,8 @@
package com.dfsek.terra.addons.biome.image;
import com.dfsek.tectonic.api.config.template.object.ObjectTemplate;
import org.slf4j.Logger;
import org.slf4j.LoggerFactory;
import java.util.function.Supplier;
@@ -24,6 +26,9 @@ import com.dfsek.terra.api.world.biome.generation.BiomeProvider;
public class ImageBiomeProviderAddon implements AddonInitializer {
private static final Logger logger = LoggerFactory.getLogger(ImageBiomeProviderAddon.class);
public static final TypeKey<Supplier<ObjectTemplate<BiomeProvider>>> PROVIDER_REGISTRY_KEY = new TypeKey<>() {
};
@@ -45,5 +50,7 @@ public class ImageBiomeProviderAddon implements AddonInitializer {
() -> new ImageProviderTemplate(event.getPack().getRegistry(Biome.class)));
})
.failThrough();
if(platform.getTerraConfig().isDebugLog())
logger.warn("The biome-provider-image addon is deprecated and scheduled for removal in Terra 7.0. It is recommended to use the biome-provider-image-v2 addon for future pack development instead.");
}
}
@@ -2,11 +2,4 @@ version = version("1.0.0")
dependencies {
compileOnlyApi(project(":common:addons:manifest-addon-loader"))
implementation("net.jafama", "jafama", Versions.Libraries.Internal.jafama)
testImplementation("net.jafama", "jafama", Versions.Libraries.Internal.jafama)
}
tasks.named<com.github.jengelman.gradle.plugins.shadow.tasks.ShadowJar>("shadowJar") {
relocate("net.jafama", "com.dfsek.terra.addons.biome.pipeline.lib.jafama")
}
@@ -11,6 +11,9 @@ import com.dfsek.tectonic.api.config.template.object.ObjectTemplate;
import java.util.function.Supplier;
import com.dfsek.terra.addons.biome.pipeline.v2.api.Source;
import com.dfsek.terra.addons.biome.pipeline.v2.api.Stage;
import com.dfsek.terra.addons.biome.pipeline.v2.api.biome.PipelineBiome;
import com.dfsek.terra.addons.biome.pipeline.v2.config.BiomePipelineTemplate;
import com.dfsek.terra.addons.biome.pipeline.v2.config.PipelineBiomeLoader;
import com.dfsek.terra.addons.biome.pipeline.v2.config.source.SamplerSourceTemplate;
@@ -20,9 +23,6 @@ import com.dfsek.terra.addons.biome.pipeline.v2.config.stage.mutator.BorderStage
import com.dfsek.terra.addons.biome.pipeline.v2.config.stage.mutator.ReplaceListStageTemplate;
import com.dfsek.terra.addons.biome.pipeline.v2.config.stage.mutator.ReplaceStageTemplate;
import com.dfsek.terra.addons.biome.pipeline.v2.config.stage.mutator.SmoothStageTemplate;
import com.dfsek.terra.addons.biome.pipeline.v2.api.Source;
import com.dfsek.terra.addons.biome.pipeline.v2.api.Stage;
import com.dfsek.terra.addons.biome.pipeline.v2.api.biome.PipelineBiome;
import com.dfsek.terra.addons.manifest.api.AddonInitializer;
import com.dfsek.terra.api.Platform;
import com.dfsek.terra.api.addon.BaseAddon;
@@ -1,19 +1,19 @@
package com.dfsek.terra.addons.biome.pipeline.v2;
import com.github.benmanes.caffeine.cache.Caffeine;
import com.github.benmanes.caffeine.cache.LoadingCache;
import java.util.Comparator;
import java.util.HashSet;
import java.util.Optional;
import java.util.Set;
import java.util.stream.StreamSupport;
import com.dfsek.terra.addons.biome.pipeline.v2.api.BiomeChunk;
import com.dfsek.terra.addons.biome.pipeline.v2.api.Pipeline;
import com.dfsek.terra.addons.biome.pipeline.v2.api.SeededVector;
import com.dfsek.terra.addons.biome.pipeline.v2.api.Stage;
import com.dfsek.terra.addons.biome.pipeline.v2.api.biome.PipelineBiome;
import com.github.benmanes.caffeine.cache.Caffeine;
import com.github.benmanes.caffeine.cache.LoadingCache;
import net.jafama.FastMath;
import java.util.Comparator;
import java.util.HashSet;
import java.util.Set;
import java.util.stream.StreamSupport;
import com.dfsek.terra.api.noise.NoiseSampler;
import com.dfsek.terra.api.registry.key.StringIdentifiable;
import com.dfsek.terra.api.util.Column;
@@ -36,7 +36,7 @@ public class PipelineBiomeProvider implements BiomeProvider {
this.noiseAmp = noiseAmp;
this.chunkSize = pipeline.getChunkSize();
this.biomeChunkCache = Caffeine.newBuilder()
.maximumSize(1024)
.maximumSize(64)
.build(pipeline::generateChunk);
Set<PipelineBiome> biomeSet = new HashSet<>();
@@ -80,8 +80,8 @@ public class PipelineBiomeProvider implements BiomeProvider {
x /= resolution;
z /= resolution;
int chunkX = FastMath.floorDiv(x, chunkSize);
int chunkZ = FastMath.floorDiv(z, chunkSize);
int chunkX = Math.floorDiv(x, chunkSize);
int chunkZ = Math.floorDiv(z, chunkSize);
int chunkWorldX = chunkX * chunkSize;
int chunkWorldZ = chunkZ * chunkSize;
@@ -97,6 +97,11 @@ public class PipelineBiomeProvider implements BiomeProvider {
return biomes;
}
@Override
public Optional<Biome> getBaseBiome(int x, int z, long seed) {
return Optional.of(getBiome(x, z, seed));
}
@Override
public Column<Biome> getColumn(int x, int z, long seed, int min, int max) {
return new BiomePipelineColumn(this, min, max, x, z, seed);
@@ -1,7 +1,7 @@
package com.dfsek.terra.addons.biome.pipeline.v2.api;
import com.dfsek.terra.addons.biome.pipeline.v2.pipeline.BiomeChunkImpl.ViewPoint;
import com.dfsek.terra.addons.biome.pipeline.v2.api.biome.PipelineBiome;
import com.dfsek.terra.addons.biome.pipeline.v2.pipeline.BiomeChunkImpl.ViewPoint;
/**
@@ -1,7 +1,7 @@
package com.dfsek.terra.addons.biome.pipeline.v2.api;
import com.dfsek.terra.addons.biome.pipeline.v2.pipeline.BiomeChunkImpl.ViewPoint;
import com.dfsek.terra.addons.biome.pipeline.v2.api.biome.PipelineBiome;
import com.dfsek.terra.addons.biome.pipeline.v2.pipeline.BiomeChunkImpl.ViewPoint;
public interface Stage {
@@ -15,9 +15,9 @@ import com.dfsek.tectonic.api.config.template.object.ObjectTemplate;
import java.util.List;
import com.dfsek.terra.addons.biome.pipeline.v2.PipelineBiomeProvider;
import com.dfsek.terra.addons.biome.pipeline.v2.pipeline.PipelineImpl;
import com.dfsek.terra.addons.biome.pipeline.v2.api.Source;
import com.dfsek.terra.addons.biome.pipeline.v2.api.Stage;
import com.dfsek.terra.addons.biome.pipeline.v2.pipeline.PipelineImpl;
import com.dfsek.terra.api.config.meta.Meta;
import com.dfsek.terra.api.noise.NoiseSampler;
import com.dfsek.terra.api.world.biome.generation.BiomeProvider;
@@ -54,6 +54,6 @@ public class BiomePipelineTemplate implements ObjectTemplate<BiomeProvider> {
@Override
public BiomeProvider get() {
return new PipelineBiomeProvider(new PipelineImpl(source, stages, resolution, 500), resolution, blendSampler, blendAmplitude);
return new PipelineBiomeProvider(new PipelineImpl(source, stages, resolution, 128), resolution, blendSampler, blendAmplitude);
}
}
@@ -7,8 +7,8 @@
package com.dfsek.terra.addons.biome.pipeline.v2.config.stage.expander;
import com.dfsek.terra.addons.biome.pipeline.v2.config.stage.StageTemplate;
import com.dfsek.terra.addons.biome.pipeline.v2.api.Expander;
import com.dfsek.terra.addons.biome.pipeline.v2.config.stage.StageTemplate;
import com.dfsek.terra.addons.biome.pipeline.v2.stage.expander.FractalExpander;
@@ -11,9 +11,9 @@ import com.dfsek.tectonic.api.config.template.annotations.Value;
import java.util.Map;
import com.dfsek.terra.addons.biome.pipeline.v2.config.stage.StageTemplate;
import com.dfsek.terra.addons.biome.pipeline.v2.api.Stage;
import com.dfsek.terra.addons.biome.pipeline.v2.api.biome.PipelineBiome;
import com.dfsek.terra.addons.biome.pipeline.v2.config.stage.StageTemplate;
import com.dfsek.terra.addons.biome.pipeline.v2.stage.mutators.BorderListStage;
import com.dfsek.terra.api.config.meta.Meta;
import com.dfsek.terra.api.util.collection.ProbabilityCollection;
@@ -9,9 +9,9 @@ package com.dfsek.terra.addons.biome.pipeline.v2.config.stage.mutator;
import com.dfsek.tectonic.api.config.template.annotations.Value;
import com.dfsek.terra.addons.biome.pipeline.v2.config.stage.StageTemplate;
import com.dfsek.terra.addons.biome.pipeline.v2.api.Stage;
import com.dfsek.terra.addons.biome.pipeline.v2.api.biome.PipelineBiome;
import com.dfsek.terra.addons.biome.pipeline.v2.config.stage.StageTemplate;
import com.dfsek.terra.addons.biome.pipeline.v2.stage.mutators.BorderStage;
import com.dfsek.terra.api.config.meta.Meta;
import com.dfsek.terra.api.util.collection.ProbabilityCollection;
@@ -11,9 +11,9 @@ import com.dfsek.tectonic.api.config.template.annotations.Value;
import java.util.Map;
import com.dfsek.terra.addons.biome.pipeline.v2.config.stage.StageTemplate;
import com.dfsek.terra.addons.biome.pipeline.v2.api.Stage;
import com.dfsek.terra.addons.biome.pipeline.v2.api.biome.PipelineBiome;
import com.dfsek.terra.addons.biome.pipeline.v2.config.stage.StageTemplate;
import com.dfsek.terra.addons.biome.pipeline.v2.stage.mutators.ReplaceListStage;
import com.dfsek.terra.api.config.meta.Meta;
import com.dfsek.terra.api.util.collection.ProbabilityCollection;
@@ -9,9 +9,9 @@ package com.dfsek.terra.addons.biome.pipeline.v2.config.stage.mutator;
import com.dfsek.tectonic.api.config.template.annotations.Value;
import com.dfsek.terra.addons.biome.pipeline.v2.config.stage.StageTemplate;
import com.dfsek.terra.addons.biome.pipeline.v2.api.Stage;
import com.dfsek.terra.addons.biome.pipeline.v2.api.biome.PipelineBiome;
import com.dfsek.terra.addons.biome.pipeline.v2.config.stage.StageTemplate;
import com.dfsek.terra.addons.biome.pipeline.v2.stage.mutators.ReplaceStage;
import com.dfsek.terra.api.config.meta.Meta;
import com.dfsek.terra.api.util.collection.ProbabilityCollection;
@@ -7,8 +7,8 @@
package com.dfsek.terra.addons.biome.pipeline.v2.config.stage.mutator;
import com.dfsek.terra.addons.biome.pipeline.v2.config.stage.StageTemplate;
import com.dfsek.terra.addons.biome.pipeline.v2.api.Stage;
import com.dfsek.terra.addons.biome.pipeline.v2.config.stage.StageTemplate;
import com.dfsek.terra.addons.biome.pipeline.v2.stage.mutators.SmoothStage;
@@ -1,13 +1,12 @@
package com.dfsek.terra.addons.biome.pipeline.v2.pipeline;
import java.util.List;
import com.dfsek.terra.addons.biome.pipeline.v2.api.BiomeChunk;
import com.dfsek.terra.addons.biome.pipeline.v2.api.Expander;
import com.dfsek.terra.addons.biome.pipeline.v2.api.SeededVector;
import com.dfsek.terra.addons.biome.pipeline.v2.api.Stage;
import com.dfsek.terra.addons.biome.pipeline.v2.api.biome.PipelineBiome;
import net.jafama.FastMath;
import java.util.List;
public class BiomeChunkImpl implements BiomeChunk {
@@ -111,7 +110,7 @@ public class BiomeChunkImpl implements BiomeChunk {
// chunk samples points on the same overall grid.
// Without this, shared chunk borders (required because of adjacent cell reads) will not be identical
// because points would be sampled on grids at different offsets, resulting in artifacts at borders.
return FastMath.ceilToInt((double) finalGridOrigin / initialGridInterval) * initialGridInterval;
return (int) Math.ceil((double) finalGridOrigin / initialGridInterval) * initialGridInterval;
}
private static int calculateFinalGridOrigin(int totalExpanderCount, List<Stage> stages) {
@@ -3,8 +3,8 @@ package com.dfsek.terra.addons.biome.pipeline.v2.source;
import java.util.Collections;
import java.util.Set;
import com.dfsek.terra.addons.biome.pipeline.v2.api.biome.PipelineBiome;
import com.dfsek.terra.addons.biome.pipeline.v2.api.Source;
import com.dfsek.terra.addons.biome.pipeline.v2.api.biome.PipelineBiome;
public class SingleSource implements Source {
@@ -2,11 +2,4 @@ version = version("1.0.1")
dependencies {
compileOnlyApi(project(":common:addons:manifest-addon-loader"))
implementation("net.jafama", "jafama", Versions.Libraries.Internal.jafama)
testImplementation("net.jafama", "jafama", Versions.Libraries.Internal.jafama)
}
tasks.named<com.github.jengelman.gradle.plugins.shadow.tasks.ShadowJar>("shadowJar") {
relocate("net.jafama", "com.dfsek.terra.addons.biome.pipeline.lib.jafama")
}
@@ -90,6 +90,7 @@ public class BiomePipelineAddon implements AddonInitializer {
event.getPack().applyLoader(BiomeDelegate.class, new BiomeDelegateLoader(biomeRegistry));
});
logger.warn("The biome-provider-pipeline addon is deprecated and scheduled for removal in Terra 7.0. It is recommended to use the biome-provider-pipeline-v2 addon for future pack development instead.");
if(platform.getTerraConfig().isDebugLog())
logger.warn("The biome-provider-pipeline addon is deprecated and scheduled for removal in Terra 7.0. It is recommended to use the biome-provider-pipeline-v2 addon for future pack development instead.");
}
}
@@ -9,7 +9,6 @@ package com.dfsek.terra.addons.biome.pipeline;
import com.github.benmanes.caffeine.cache.Caffeine;
import com.github.benmanes.caffeine.cache.LoadingCache;
import net.jafama.FastMath;
import java.util.Comparator;
import java.util.HashSet;
@@ -86,8 +85,8 @@ public class BiomePipelineProvider implements BiomeProvider {
x /= resolution;
z /= resolution;
int fdX = FastMath.floorDiv(x, pipeline.getSize());
int fdZ = FastMath.floorDiv(z, pipeline.getSize());
int fdX = Math.floorDiv(x, pipeline.getSize());
int fdZ = Math.floorDiv(z, pipeline.getSize());
return holderCache.get(new SeededVector(fdX, fdZ, seed)).getBiome(x - fdX * pipeline.getSize(),
z - fdZ * pipeline.getSize()).getBiome();
}
@@ -1,12 +1,5 @@
version = version("1.1.0")
version = version("1.2.0")
dependencies {
compileOnlyApi(project(":common:addons:manifest-addon-loader"))
implementation("net.jafama", "jafama", Versions.Libraries.Internal.jafama)
testImplementation("net.jafama", "jafama", Versions.Libraries.Internal.jafama)
}
tasks.named<com.github.jengelman.gradle.plugins.shadow.tasks.ShadowJar>("shadowJar") {
relocate("net.jafama", "com.dfsek.terra.addons.chunkgenerator.lib.jafama")
}
@@ -11,9 +11,10 @@ import com.dfsek.terra.addons.chunkgenerator.config.NoiseChunkGeneratorPackConfi
import com.dfsek.terra.addons.chunkgenerator.config.noise.BiomeNoiseConfigTemplate;
import com.dfsek.terra.addons.chunkgenerator.config.noise.BiomeNoiseProperties;
import com.dfsek.terra.addons.chunkgenerator.config.palette.BiomePaletteTemplate;
import com.dfsek.terra.addons.chunkgenerator.config.palette.PaletteInfo;
import com.dfsek.terra.addons.chunkgenerator.config.palette.SlantLayer;
import com.dfsek.terra.addons.chunkgenerator.config.palette.slant.SlantLayerTemplate;
import com.dfsek.terra.addons.chunkgenerator.generation.NoiseChunkGenerator3D;
import com.dfsek.terra.addons.chunkgenerator.palette.BiomePaletteInfo;
import com.dfsek.terra.addons.chunkgenerator.palette.slant.SlantHolder;
import com.dfsek.terra.addons.manifest.api.AddonInitializer;
import com.dfsek.terra.api.Platform;
import com.dfsek.terra.api.addon.BaseAddon;
@@ -36,15 +37,20 @@ public class NoiseChunkGenerator3DAddon implements AddonInitializer {
@Override
public void initialize() {
PropertyKey<PaletteInfo> paletteInfoPropertyKey = Context.create(PaletteInfo.class);
PropertyKey<BiomePaletteInfo> paletteInfoPropertyKey = Context.create(BiomePaletteInfo.class);
PropertyKey<BiomeNoiseProperties> noisePropertiesPropertyKey = Context.create(BiomeNoiseProperties.class);
platform.getEventManager()
.getHandler(FunctionalEventHandler.class)
.register(addon, ConfigPackPreLoadEvent.class)
.priority(1000)
.then(event -> {
event.getPack().applyLoader(SlantHolder.CalculationMethod.class,
(type, o, loader, depthTracker) -> SlantHolder.CalculationMethod.valueOf((String) o));
NoiseChunkGeneratorPackConfigTemplate config = event.loadTemplate(new NoiseChunkGeneratorPackConfigTemplate());
event.getPack().getContext().put(config);
event.getPack()
.getOrCreateRegistry(ChunkGeneratorProvider.class)
.register(addon.key("NOISE_3D"),
@@ -53,7 +59,7 @@ public class NoiseChunkGenerator3DAddon implements AddonInitializer {
config.getVerticalRes(), noisePropertiesPropertyKey,
paletteInfoPropertyKey));
event.getPack()
.applyLoader(SlantLayer.class, SlantLayer::new);
.applyLoader(SlantHolder.Layer.class, SlantLayerTemplate::new);
})
.failThrough();
@@ -62,8 +68,10 @@ public class NoiseChunkGenerator3DAddon implements AddonInitializer {
.register(addon, ConfigurationLoadEvent.class)
.then(event -> {
if(event.is(Biome.class)) {
NoiseChunkGeneratorPackConfigTemplate config = event.getPack().getContext().get(NoiseChunkGeneratorPackConfigTemplate.class);
event.getLoadedObject(Biome.class).getContext().put(paletteInfoPropertyKey,
event.load(new BiomePaletteTemplate(platform)).get());
event.load(new BiomePaletteTemplate(platform, config.getSlantCalculationMethod())).get());
event.getLoadedObject(Biome.class).getContext().put(noisePropertiesPropertyKey,
event.load(new BiomeNoiseConfigTemplate()).get());
}
@@ -4,10 +4,12 @@ import com.dfsek.tectonic.api.config.template.ConfigTemplate;
import com.dfsek.tectonic.api.config.template.annotations.Default;
import com.dfsek.tectonic.api.config.template.annotations.Value;
import com.dfsek.terra.addons.chunkgenerator.palette.slant.SlantHolder;
import com.dfsek.terra.api.config.meta.Meta;
import com.dfsek.terra.api.properties.Properties;
public class NoiseChunkGeneratorPackConfigTemplate implements ConfigTemplate {
public class NoiseChunkGeneratorPackConfigTemplate implements ConfigTemplate, Properties {
@Value("blend.terrain.elevation")
@Default
private @Meta int elevationBlend = 4;
@@ -20,6 +22,10 @@ public class NoiseChunkGeneratorPackConfigTemplate implements ConfigTemplate {
@Default
private @Meta int verticalRes = 2;
@Value("slant.calculation-method")
@Default
private SlantHolder.@Meta CalculationMethod slantCalculationMethod = SlantHolder.CalculationMethod.Derivative;
public int getElevationBlend() {
return elevationBlend;
}
@@ -31,4 +37,8 @@ public class NoiseChunkGeneratorPackConfigTemplate implements ConfigTemplate {
public int getVerticalRes() {
return verticalRes;
}
public SlantHolder.CalculationMethod getSlantCalculationMethod() {
return slantCalculationMethod;
}
}
@@ -15,25 +15,23 @@ import com.dfsek.tectonic.api.config.template.object.ObjectTemplate;
import java.util.Collections;
import java.util.List;
import java.util.Map;
import java.util.Map.Entry;
import java.util.TreeMap;
import com.dfsek.terra.addons.chunkgenerator.palette.BiomePaletteInfo;
import com.dfsek.terra.addons.chunkgenerator.palette.PaletteHolder;
import com.dfsek.terra.addons.chunkgenerator.palette.PaletteHolderBuilder;
import com.dfsek.terra.addons.chunkgenerator.palette.SlantHolder;
import com.dfsek.terra.addons.chunkgenerator.palette.slant.SlantHolder;
import com.dfsek.terra.api.Platform;
import com.dfsek.terra.api.block.state.BlockState;
import com.dfsek.terra.api.config.meta.Meta;
import com.dfsek.terra.api.world.chunk.generation.util.Palette;
public class BiomePaletteTemplate implements ObjectTemplate<PaletteInfo> {
public class BiomePaletteTemplate implements ObjectTemplate<BiomePaletteInfo> {
private final Platform platform;
@Value("slant")
@Default
@Description("The slant palettes to use in this biome.")
private @Meta List<@Meta SlantLayer> slant = Collections.emptyList();
private @Meta List<SlantHolder.@Meta Layer> slantLayers = Collections.emptyList();
@Value("slant-depth")
@Default
@@ -63,27 +61,16 @@ public class BiomePaletteTemplate implements ObjectTemplate<PaletteInfo> {
@Default
private @Meta boolean updatePalette = false;
public BiomePaletteTemplate(Platform platform) { this.platform = platform; }
private final SlantHolder.CalculationMethod slantCalculationMethod;
public BiomePaletteTemplate(Platform platform, SlantHolder.CalculationMethod slantCalculationMethod) {
this.platform = platform;
this.slantCalculationMethod = slantCalculationMethod;
}
@Override
public PaletteInfo get() {
PaletteHolderBuilder builder = new PaletteHolderBuilder();
for(Map<Palette, Integer> layer : palettes) {
for(Entry<Palette, Integer> entry : layer.entrySet()) {
builder.add(entry.getValue(), entry.getKey());
}
}
TreeMap<Double, PaletteHolder> slantLayers = new TreeMap<>();
double minThreshold = Double.MAX_VALUE;
for(SlantLayer layer : slant) {
double threshold = layer.getThreshold();
if(threshold < minThreshold) minThreshold = threshold;
slantLayers.put(threshold, layer.getPalette());
}
return new PaletteInfo(builder.build(), SlantHolder.of(slantLayers, minThreshold), oceanPalette, seaLevel, slantDepth,
updatePalette);
public BiomePaletteInfo get() {
return new BiomePaletteInfo(PaletteHolder.of(palettes), SlantHolder.of(slantLayers, slantDepth, slantCalculationMethod),
oceanPalette, seaLevel, updatePalette);
}
}
@@ -1,22 +0,0 @@
/*
* Copyright (c) 2020-2021 Polyhedral Development
*
* The Terra Core Addons are licensed under the terms of the MIT License. For more details,
* reference the LICENSE file in this module's root directory.
*/
package com.dfsek.terra.addons.chunkgenerator.config.palette;
import com.dfsek.terra.addons.chunkgenerator.palette.PaletteHolder;
import com.dfsek.terra.addons.chunkgenerator.palette.SlantHolder;
import com.dfsek.terra.api.properties.Properties;
import com.dfsek.terra.api.world.chunk.generation.util.Palette;
public record PaletteInfo(PaletteHolder paletteHolder,
SlantHolder slantHolder,
Palette ocean,
int seaLevel,
int maxSlantDepth,
boolean updatePaletteWhenCarving) implements Properties {
}
@@ -1,42 +0,0 @@
package com.dfsek.terra.addons.chunkgenerator.config.palette;
import com.dfsek.tectonic.api.config.template.annotations.Value;
import com.dfsek.tectonic.api.config.template.object.ObjectTemplate;
import java.util.List;
import java.util.Map;
import java.util.Map.Entry;
import com.dfsek.terra.addons.chunkgenerator.palette.PaletteHolder;
import com.dfsek.terra.addons.chunkgenerator.palette.PaletteHolderBuilder;
import com.dfsek.terra.api.config.meta.Meta;
import com.dfsek.terra.api.world.chunk.generation.util.Palette;
public class SlantLayer implements ObjectTemplate<SlantLayer> {
@Value("threshold")
private @Meta double threshold;
@Value("palette")
private @Meta List<@Meta Map<@Meta Palette, @Meta Integer>> palettes;
@Override
public SlantLayer get() {
return this;
}
public double getThreshold() {
return threshold;
}
public PaletteHolder getPalette() {
PaletteHolderBuilder builder = new PaletteHolderBuilder();
for(Map<Palette, Integer> layer : palettes) {
for(Entry<Palette, Integer> entry : layer.entrySet()) {
builder.add(entry.getValue(), entry.getKey());
}
}
return builder.build();
}
}
@@ -0,0 +1,27 @@
package com.dfsek.terra.addons.chunkgenerator.config.palette.slant;
import com.dfsek.tectonic.api.config.template.annotations.Value;
import com.dfsek.tectonic.api.config.template.object.ObjectTemplate;
import java.util.List;
import java.util.Map;
import com.dfsek.terra.addons.chunkgenerator.palette.PaletteHolder;
import com.dfsek.terra.addons.chunkgenerator.palette.slant.SlantHolder;
import com.dfsek.terra.api.config.meta.Meta;
import com.dfsek.terra.api.world.chunk.generation.util.Palette;
public class SlantLayerTemplate implements ObjectTemplate<SlantHolder.Layer> {
@Value("threshold")
private @Meta double threshold;
@Value("palette")
private @Meta List<@Meta Map<@Meta Palette, @Meta Integer>> palettes;
@Override
public SlantHolder.Layer get() {
return new SlantHolder.Layer(PaletteHolder.of(palettes), threshold);
}
}
@@ -8,15 +8,14 @@
package com.dfsek.terra.addons.chunkgenerator.generation;
import net.jafama.FastMath;
import org.jetbrains.annotations.NotNull;
import com.dfsek.terra.addons.chunkgenerator.config.noise.BiomeNoiseProperties;
import com.dfsek.terra.addons.chunkgenerator.config.palette.PaletteInfo;
import com.dfsek.terra.addons.chunkgenerator.generation.math.PaletteUtil;
import com.dfsek.terra.addons.chunkgenerator.generation.math.interpolation.LazilyEvaluatedInterpolator;
import com.dfsek.terra.addons.chunkgenerator.generation.math.samplers.Sampler3D;
import com.dfsek.terra.addons.chunkgenerator.generation.math.samplers.SamplerProvider;
import com.dfsek.terra.addons.chunkgenerator.palette.BiomePaletteInfo;
import com.dfsek.terra.api.Platform;
import com.dfsek.terra.api.block.state.BlockState;
import com.dfsek.terra.api.config.ConfigPack;
@@ -40,13 +39,13 @@ public class NoiseChunkGenerator3D implements ChunkGenerator {
private final int carverHorizontalResolution;
private final int carverVerticalResolution;
private final PropertyKey<PaletteInfo> paletteInfoPropertyKey;
private final PropertyKey<BiomePaletteInfo> paletteInfoPropertyKey;
private final PropertyKey<BiomeNoiseProperties> noisePropertiesKey;
public NoiseChunkGenerator3D(ConfigPack pack, Platform platform, int elevationBlend, int carverHorizontalResolution,
int carverVerticalResolution,
PropertyKey<BiomeNoiseProperties> noisePropertiesKey,
PropertyKey<PaletteInfo> paletteInfoPropertyKey) {
PropertyKey<BiomePaletteInfo> paletteInfoPropertyKey) {
this.platform = platform;
this.air = platform.getWorldHandle().air();
this.carverHorizontalResolution = carverHorizontalResolution;
@@ -97,7 +96,7 @@ public class NoiseChunkGenerator3D implements ChunkGenerator {
for(int y = world.getMaxHeight() - 1; y >= world.getMinHeight(); y--) {
Biome biome = biomeColumn.get(y);
PaletteInfo paletteInfo = biome.getContext().get(paletteInfoPropertyKey);
BiomePaletteInfo paletteInfo = biome.getContext().get(paletteInfoPropertyKey);
int sea = paletteInfo.seaLevel();
Palette seaPalette = paletteInfo.ocean();
@@ -131,10 +130,10 @@ public class NoiseChunkGenerator3D implements ChunkGenerator {
Biome biome = biomeProvider.getBiome(x, y, z, world.getSeed());
Sampler3D sampler = samplerCache.get(x, z, world, biomeProvider);
PaletteInfo paletteInfo = biome.getContext().get(paletteInfoPropertyKey);
BiomePaletteInfo paletteInfo = biome.getContext().get(paletteInfoPropertyKey);
int fdX = FastMath.floorMod(x, 16);
int fdZ = FastMath.floorMod(z, 16);
int fdX = Math.floorMod(x, 16);
int fdZ = Math.floorMod(z, 16);
Palette palette = PaletteUtil.getPalette(fdX, y, fdZ, sampler, paletteInfo, 0);
double noise = sampler.sample(fdX, y, fdZ);
@@ -155,6 +154,16 @@ public class NoiseChunkGenerator3D implements ChunkGenerator {
return biomeProvider.getBiome(x, y, z, world.getSeed()).getContext().get(paletteInfoPropertyKey).paletteHolder().getPalette(y);
}
public double getSlant(int x, int y, int z, WorldProperties world, BiomeProvider biomeProvider) {
int fdX = Math.floorMod(x, 16);
int fdZ = Math.floorMod(z, 16);
return biomeProvider.getBiome(x, y, z, world.getSeed())
.getContext()
.get(paletteInfoPropertyKey)
.slantHolder()
.calculateSlant(samplerCache.get(x, z, world, biomeProvider), fdX, y, fdZ);
}
public SamplerProvider samplerProvider() {
return samplerCache;
}
@@ -7,40 +7,23 @@
package com.dfsek.terra.addons.chunkgenerator.generation.math;
import com.dfsek.terra.addons.chunkgenerator.config.palette.PaletteInfo;
import com.dfsek.terra.addons.chunkgenerator.generation.math.samplers.Sampler3D;
import com.dfsek.terra.addons.chunkgenerator.palette.SlantHolder;
import com.dfsek.terra.addons.chunkgenerator.palette.BiomePaletteInfo;
import com.dfsek.terra.addons.chunkgenerator.palette.slant.SlantHolder;
import com.dfsek.terra.api.world.chunk.generation.util.Palette;
public final class PaletteUtil {
/**
* Derivative constant.
*/
private static final double DERIVATIVE_DIST = 0.55;
public static Palette getPalette(int x, int y, int z, Sampler3D sampler, PaletteInfo paletteInfo, int depth) {
SlantHolder slant = paletteInfo.slantHolder();
if(!slant.isEmpty() && depth <= paletteInfo.maxSlantDepth()) {
double slope = derivative(sampler, x, y, z);
if(slope > slant.getMinSlope()) {
return slant.getPalette(slope).getPalette(y);
public static Palette getPalette(int x, int y, int z, Sampler3D sampler, BiomePaletteInfo paletteInfo, int depth) {
SlantHolder slantHolder = paletteInfo.slantHolder();
if(slantHolder.isAboveDepth(depth)) {
double slant = slantHolder.calculateSlant(sampler, x, y, z);
if(slantHolder.isInSlantThreshold(slant)) {
return slantHolder.getPalette(slant).getPalette(y);
}
}
return paletteInfo.paletteHolder().getPalette(y);
}
public static double derivative(Sampler3D sampler, double x, double y, double z) {
double baseSample = sampler.sample(x, y, z);
double xVal1 = (sampler.sample(x + DERIVATIVE_DIST, y, z) - baseSample) / DERIVATIVE_DIST;
double xVal2 = (sampler.sample(x - DERIVATIVE_DIST, y, z) - baseSample) / DERIVATIVE_DIST;
double zVal1 = (sampler.sample(x, y, z + DERIVATIVE_DIST) - baseSample) / DERIVATIVE_DIST;
double zVal2 = (sampler.sample(x, y, z - DERIVATIVE_DIST) - baseSample) / DERIVATIVE_DIST;
double yVal1 = (sampler.sample(x, y + DERIVATIVE_DIST, z) - baseSample) / DERIVATIVE_DIST;
double yVal2 = (sampler.sample(x, y - DERIVATIVE_DIST, z) - baseSample) / DERIVATIVE_DIST;
return Math.sqrt(((xVal2 - xVal1) * (xVal2 - xVal1)) + ((zVal2 - zVal1) * (zVal2 - zVal1)) + ((yVal2 - yVal1) * (yVal2 - yVal1)));
}
}
@@ -7,8 +7,6 @@
package com.dfsek.terra.addons.chunkgenerator.generation.math.interpolation;
import net.jafama.FastMath;
import com.dfsek.terra.addons.chunkgenerator.config.noise.BiomeNoiseProperties;
import com.dfsek.terra.api.properties.PropertyKey;
import com.dfsek.terra.api.util.Column;
@@ -134,7 +132,7 @@ public class ChunkInterpolator {
}
private static int reRange(int value, int high) {
return FastMath.max(FastMath.min(value, high), 0);
return Math.max(Math.min(value, high), 0);
}
/**
@@ -146,7 +144,7 @@ public class ChunkInterpolator {
* @return double - The interpolated noise at the coordinates.
*/
public double getNoise(double x, double y, double z) {
return interpGrid[reRange(((int) x) / 4, 3)][(FastMath.max(FastMath.min(((int) y), max), min) - min) / 4][reRange(((int) z) / 4,
return interpGrid[reRange(((int) x) / 4, 3)][(Math.max(Math.min(((int) y), max), min) - min) / 4][reRange(((int) z) / 4,
3)].trilerp(
(x % 4) / 4, (y % 4) / 4, (z % 4) / 4);
}
@@ -1,7 +1,5 @@
package com.dfsek.terra.addons.chunkgenerator.generation.math.interpolation;
import net.jafama.FastMath;
import com.dfsek.terra.addons.chunkgenerator.config.noise.BiomeNoiseProperties;
import com.dfsek.terra.api.properties.PropertyKey;
import com.dfsek.terra.api.world.biome.generation.BiomeProvider;
@@ -30,8 +28,8 @@ public class LazilyEvaluatedInterpolator {
PropertyKey<BiomeNoiseProperties> noisePropertiesKey, int min, int horizontalRes, int verticalRes,
long seed) {
this.noisePropertiesKey = noisePropertiesKey;
int hSamples = FastMath.ceilToInt(16.0 / horizontalRes);
int vSamples = FastMath.ceilToInt((double) (max - min) / verticalRes);
int hSamples = (int) Math.ceil(16.0 / horizontalRes);
int vSamples = (int) Math.ceil((double) (max - min) / verticalRes);
this.zMul = (hSamples + 1);
this.yMul = zMul * zMul;
samples = new Double[yMul * (vSamples + 1)];
@@ -52,7 +50,7 @@ public class LazilyEvaluatedInterpolator {
int xi = ox + chunkX;
int zi = oz + chunkZ;
int y = FastMath.min(max, oy);
int y = Math.min(max, oy);
sample = biomeProvider
.getBiome(xi, y, zi, seed)
@@ -93,7 +91,7 @@ public class LazilyEvaluatedInterpolator {
return lerp_bottom;
}
double yFrac = (double) FastMath.floorMod(y, verticalRes) / verticalRes;
double yFrac = (double) Math.floorMod(y, verticalRes) / verticalRes;
double sample_0_1_0 = sample(xIndex, yIndex + 1, zIndex, x, y + verticalRes, z);
@@ -7,8 +7,6 @@
package com.dfsek.terra.addons.chunkgenerator.generation.math.samplers;
import net.jafama.FastMath;
import com.dfsek.terra.addons.chunkgenerator.config.noise.BiomeNoiseProperties;
import com.dfsek.terra.addons.chunkgenerator.generation.math.interpolation.ChunkInterpolator;
import com.dfsek.terra.addons.chunkgenerator.generation.math.interpolation.ElevationInterpolator;
@@ -28,10 +26,10 @@ public class Sampler3D {
}
public double sample(double x, double y, double z) {
return interpolator.getNoise(x, y, z) + elevationInterpolator.getElevation(FastMath.roundToInt(x), FastMath.roundToInt(z));
return interpolator.getNoise(x, y, z) + elevationInterpolator.getElevation((int) Math.round(x), (int) Math.round(z));
}
public double sample(int x, int y, int z) {
return interpolator.getNoise(x, y, z) + elevationInterpolator.getElevation(FastMath.roundToInt(x), FastMath.roundToInt(z));
return interpolator.getNoise(x, y, z) + elevationInterpolator.getElevation(x, z);
}
}
@@ -19,7 +19,6 @@ package com.dfsek.terra.addons.chunkgenerator.generation.math.samplers;
import com.github.benmanes.caffeine.cache.Cache;
import com.github.benmanes.caffeine.cache.Caffeine;
import net.jafama.FastMath;
import com.dfsek.terra.addons.chunkgenerator.config.noise.BiomeNoiseProperties;
import com.dfsek.terra.api.Platform;
@@ -45,8 +44,8 @@ public class SamplerProvider {
}
public Sampler3D get(int x, int z, WorldProperties world, BiomeProvider provider) {
int cx = FastMath.floorDiv(x, 16);
int cz = FastMath.floorDiv(z, 16);
int cx = Math.floorDiv(x, 16);
int cz = Math.floorDiv(z, 16);
return getChunk(cx, cz, world, provider);
}
@@ -0,0 +1,20 @@
/*
* Copyright (c) 2020-2021 Polyhedral Development
*
* The Terra Core Addons are licensed under the terms of the MIT License. For more details,
* reference the LICENSE file in this module's root directory.
*/
package com.dfsek.terra.addons.chunkgenerator.palette;
import com.dfsek.terra.addons.chunkgenerator.palette.slant.SlantHolder;
import com.dfsek.terra.api.properties.Properties;
import com.dfsek.terra.api.world.chunk.generation.util.Palette;
public record BiomePaletteInfo(PaletteHolder paletteHolder,
SlantHolder slantHolder,
Palette ocean,
int seaLevel,
boolean updatePaletteWhenCarving) implements Properties {
}
@@ -7,6 +7,11 @@
package com.dfsek.terra.addons.chunkgenerator.palette;
import java.util.List;
import java.util.Map;
import java.util.Map.Entry;
import java.util.TreeMap;
import com.dfsek.terra.api.world.chunk.generation.util.Palette;
@@ -27,4 +32,43 @@ public class PaletteHolder {
: palettes[palettes.length - 1]
: palettes[0];
}
public static PaletteHolder of(List<Map<Palette, Integer>> palettes) {
PaletteHolderBuilder builder = new PaletteHolderBuilder();
for(Map<Palette, Integer> layer : palettes) {
for(Entry<Palette, Integer> entry : layer.entrySet()) {
builder.add(entry.getValue(), entry.getKey());
}
}
return builder.build();
}
private static class PaletteHolderBuilder {
private final TreeMap<Integer, Palette> paletteMap = new TreeMap<>();
public PaletteHolderBuilder add(int y, Palette palette) {
paletteMap.put(y, palette);
return this;
}
public PaletteHolder build() {
int min = Math.min(paletteMap.keySet().stream().min(Integer::compareTo).orElse(0), 0);
int max = Math.max(paletteMap.keySet().stream().max(Integer::compareTo).orElse(255), 255);
Palette[] palettes = new Palette[paletteMap.lastKey() + 1 - min];
for(int y = min; y <= Math.max(paletteMap.lastKey(), max); y++) {
Palette d = null;
for(Entry<Integer, Palette> e : paletteMap.entrySet()) {
if(e.getKey() >= y) {
d = e.getValue();
break;
}
}
if(d == null) throw new IllegalArgumentException("No palette for Y=" + y);
palettes[y - min] = d;
}
return new PaletteHolder(palettes, -min);
}
}
}
@@ -1,45 +0,0 @@
/*
* Copyright (c) 2020-2021 Polyhedral Development
*
* The Terra Core Addons are licensed under the terms of the MIT License. For more details,
* reference the LICENSE file in this module's root directory.
*/
package com.dfsek.terra.addons.chunkgenerator.palette;
import net.jafama.FastMath;
import java.util.Map;
import java.util.TreeMap;
import com.dfsek.terra.api.world.chunk.generation.util.Palette;
public class PaletteHolderBuilder {
private final TreeMap<Integer, Palette> paletteMap = new TreeMap<>();
public PaletteHolderBuilder add(int y, Palette palette) {
paletteMap.put(y, palette);
return this;
}
public PaletteHolder build() {
int min = FastMath.min(paletteMap.keySet().stream().min(Integer::compareTo).orElse(0), 0);
int max = FastMath.max(paletteMap.keySet().stream().max(Integer::compareTo).orElse(255), 255);
Palette[] palettes = new Palette[paletteMap.lastKey() + 1 - min];
for(int y = min; y <= FastMath.max(paletteMap.lastKey(), max); y++) {
Palette d = null;
for(Map.Entry<Integer, Palette> e : paletteMap.entrySet()) {
if(e.getKey() >= y) {
d = e.getValue();
break;
}
}
if(d == null) throw new IllegalArgumentException("No palette for Y=" + y);
palettes[y - min] = d;
}
return new PaletteHolder(palettes, -min);
}
}
@@ -1,64 +0,0 @@
/*
* Copyright (c) 2020-2021 Polyhedral Development
*
* The Terra Core Addons are licensed under the terms of the MIT License. For more details,
* reference the LICENSE file in this module's root directory.
*/
package com.dfsek.terra.addons.chunkgenerator.palette;
import java.util.Map.Entry;
import java.util.TreeMap;
public class SlantHolder {
private final TreeMap<Double, PaletteHolder> layers;
private final double minSlope;
private SlantHolder(TreeMap<Double, PaletteHolder> layers, double minSlope) {
this.layers = layers;
this.minSlope = minSlope;
}
public static SlantHolder of(TreeMap<Double, PaletteHolder> layers, double minSlope) {
if(layers.size() == 1) {
Entry<Double, PaletteHolder> firstEntry = layers.firstEntry();
return new Single(firstEntry.getValue(), minSlope);
}
return new SlantHolder(layers, minSlope);
}
public boolean isEmpty() {
return layers.isEmpty();
}
public PaletteHolder getPalette(double slope) {
return layers.floorEntry(slope).getValue();
}
public double getMinSlope() {
return minSlope;
}
private static final class Single extends SlantHolder {
private final PaletteHolder layers;
public Single(PaletteHolder layers, double minSlope) {
super(of(minSlope, layers), minSlope);
this.layers = layers;
}
private static TreeMap<Double, PaletteHolder> of(double v, PaletteHolder layer) {
TreeMap<Double, PaletteHolder> map = new TreeMap<>();
map.put(v, layer);
return map;
}
@Override
public PaletteHolder getPalette(double slope) {
return layers;
}
}
}
@@ -0,0 +1,47 @@
/*
* Copyright (c) 2020-2021 Polyhedral Development
*
* The Terra Core Addons are licensed under the terms of the MIT License. For more details,
* reference the LICENSE file in this module's root directory.
*/
package com.dfsek.terra.addons.chunkgenerator.palette.slant;
import java.util.List;
import java.util.NavigableMap;
import java.util.TreeMap;
import java.util.stream.Collectors;
import java.util.stream.Stream;
import com.dfsek.terra.addons.chunkgenerator.palette.PaletteHolder;
public class MultipleSlantHolder extends SlantHolderImpl {
private final NavigableMap<Double, PaletteHolder> layers;
private final double slantThreshold;
MultipleSlantHolder(List<SlantHolder.Layer> slant, int slantDepth, CalculationMethod calculationMethod) {
super(slantDepth, calculationMethod);
NavigableMap<Double, PaletteHolder> layers = new TreeMap<>(slant.stream().collect(Collectors.toMap(SlantHolder.Layer::threshold, SlantHolder.Layer::palette)));
Stream<Double> thresholds = layers.keySet().stream();
double slantThreshold = floorToThreshold ?
thresholds.min(Double::compare).orElseThrow() :
thresholds.max(Double::compare).orElseThrow();
this.layers = layers;
this.slantThreshold = slantThreshold;
}
@Override
protected double getSlantThreshold() {
return slantThreshold;
}
@Override
public PaletteHolder getPalette(double slant) {
return (floorToThreshold ?
layers.floorEntry(slant) :
layers.ceilingEntry(slant)
).getValue();
}
}
@@ -0,0 +1,24 @@
package com.dfsek.terra.addons.chunkgenerator.palette.slant;
import com.dfsek.terra.addons.chunkgenerator.palette.PaletteHolder;
final class SingleSlantHolder extends SlantHolderImpl {
private final SlantHolder.Layer layer;
public SingleSlantHolder(SlantHolder.Layer layer, int slantDepth, CalculationMethod calculationMethod) {
super(slantDepth, calculationMethod);
this.layer = layer;
}
@Override
public PaletteHolder getPalette(double slant) {
return layer.palette();
}
@Override
protected double getSlantThreshold() {
return layer.threshold();
}
}
@@ -0,0 +1,116 @@
package com.dfsek.terra.addons.chunkgenerator.palette.slant;
import java.util.List;
import com.dfsek.terra.addons.chunkgenerator.generation.math.samplers.Sampler3D;
import com.dfsek.terra.addons.chunkgenerator.palette.PaletteHolder;
import com.dfsek.terra.api.util.vector.Vector3;
public interface SlantHolder {
static SlantHolder of(List<SlantHolder.Layer> layers, int slantDepth, CalculationMethod calculationMethod) {
if(layers.isEmpty()) {
return EMPTY;
} else if(layers.size() == 1) {
return new SingleSlantHolder(layers.get(0), slantDepth, calculationMethod);
}
return new MultipleSlantHolder(layers, slantDepth, calculationMethod);
}
double calculateSlant(Sampler3D sampler, double x, double y, double z);
boolean isAboveDepth(int depth);
boolean isInSlantThreshold(double slant);
PaletteHolder getPalette(double slant);
record Layer(PaletteHolder palette, double threshold) {
}
enum CalculationMethod {
DotProduct {
private static final Vector3 DOT_PRODUCT_DIRECTION = Vector3.of(0, 1, 0);
private static final Vector3[] DOT_PRODUCT_SAMPLE_POINTS = {
Vector3.of(0, 0, -DERIVATIVE_DIST),
Vector3.of(0, 0, DERIVATIVE_DIST),
Vector3.of(0, -DERIVATIVE_DIST, 0),
Vector3.of(0, DERIVATIVE_DIST, 0),
Vector3.of(-DERIVATIVE_DIST, 0, 0),
Vector3.of(DERIVATIVE_DIST, 0, 0)
};
@Override
public double slant(Sampler3D sampler, double x, double y, double z) {
Vector3.Mutable normalApproximation = Vector3.Mutable.of(0, 0, 0);
for(Vector3 point : DOT_PRODUCT_SAMPLE_POINTS) {
var scalar = -sampler.sample(x+point.getX(), y+point.getY(), z+point.getZ());
normalApproximation.add(point.mutable().multiply(scalar));
}
return DOT_PRODUCT_DIRECTION.dot(normalApproximation.normalize());
}
@Override
public boolean floorToThreshold() {
return false;
}
},
Derivative {
@Override
public double slant(Sampler3D sampler, double x, double y, double z) {
double baseSample = sampler.sample(x, y, z);
double xVal1 = (sampler.sample(x + DERIVATIVE_DIST, y, z) - baseSample) / DERIVATIVE_DIST;
double xVal2 = (sampler.sample(x - DERIVATIVE_DIST, y, z) - baseSample) / DERIVATIVE_DIST;
double zVal1 = (sampler.sample(x, y, z + DERIVATIVE_DIST) - baseSample) / DERIVATIVE_DIST;
double zVal2 = (sampler.sample(x, y, z - DERIVATIVE_DIST) - baseSample) / DERIVATIVE_DIST;
double yVal1 = (sampler.sample(x, y + DERIVATIVE_DIST, z) - baseSample) / DERIVATIVE_DIST;
double yVal2 = (sampler.sample(x, y - DERIVATIVE_DIST, z) - baseSample) / DERIVATIVE_DIST;
return Math.sqrt(((xVal2 - xVal1) * (xVal2 - xVal1)) + ((zVal2 - zVal1) * (zVal2 - zVal1)) + ((yVal2 - yVal1) * (yVal2 - yVal1)));
}
@Override
public boolean floorToThreshold() {
return true;
}
};
private static final double DERIVATIVE_DIST = 0.55;
public abstract double slant(Sampler3D sampler, double x, double y, double z);
/*
* Controls whether palettes should be applied before or after their respective thresholds.
*
* If true, slant values will map to the palette of the next floor threshold, otherwise they
* will map to the ceiling.
*/
public abstract boolean floorToThreshold();
}
SlantHolder EMPTY = new SlantHolder() {
@Override
public double calculateSlant(Sampler3D sampler, double x, double y, double z) {
throw new UnsupportedOperationException("Empty holder should not calculate slant");
}
@Override
public boolean isAboveDepth(int depth) {
return false;
}
@Override
public boolean isInSlantThreshold(double slant) {
return false;
}
@Override
public PaletteHolder getPalette(double slant) {
throw new UnsupportedOperationException("Empty holder cannot return a palette");
}
};
}
@@ -0,0 +1,38 @@
package com.dfsek.terra.addons.chunkgenerator.palette.slant;
import com.dfsek.terra.addons.chunkgenerator.generation.math.samplers.Sampler3D;
public abstract class SlantHolderImpl implements SlantHolder {
private final SlantHolder.CalculationMethod calculationMethod;
private final int slantDepth;
protected final boolean floorToThreshold;
protected SlantHolderImpl(int slantDepth, CalculationMethod calculationMethod) {
this.floorToThreshold = calculationMethod.floorToThreshold();
this.calculationMethod = calculationMethod;
this.slantDepth = slantDepth;
}
protected abstract double getSlantThreshold();
@Override
public final double calculateSlant(Sampler3D sampler, double x, double y, double z) {
return calculationMethod.slant(sampler, x, y, z);
}
@Override
public final boolean isAboveDepth(int depth) {
return depth <= slantDepth;
}
@Override
public final boolean isInSlantThreshold(double slant) {
return (floorToThreshold ?
slant > getSlantThreshold() :
slant < getSlantThreshold()
);
}
}
@@ -2,11 +2,4 @@ version = version("1.0.0")
dependencies {
compileOnlyApi(project(":common:addons:manifest-addon-loader"))
implementation("net.jafama", "jafama", Versions.Libraries.Internal.jafama)
testImplementation("net.jafama", "jafama", Versions.Libraries.Internal.jafama)
}
tasks.named<com.github.jengelman.gradle.plugins.shadow.tasks.ShadowJar>("shadowJar") {
relocate("net.jafama", "com.dfsek.terra.addons.feature.distributor.lib.jafama")
}
@@ -1,7 +1,5 @@
package com.dfsek.terra.addons.feature.distributor.distributors;
import net.jafama.FastMath;
import java.util.Random;
import com.dfsek.terra.api.structure.feature.Distributor;
@@ -21,21 +19,12 @@ public class PaddedGridDistributor implements Distributor {
this.cellWidth = width + padding;
}
private static long murmur64(long h) {
h ^= h >>> 33;
h *= 0xff51afd7ed558ccdL;
h ^= h >>> 33;
h *= 0xc4ceb9fe1a85ec53L;
h ^= h >>> 33;
return h;
}
@Override
public boolean matches(int x, int z, long seed) {
int cellX = FastMath.floorDiv(x, cellWidth);
int cellZ = FastMath.floorDiv(z, cellWidth);
int cellX = Math.floorDiv(x, cellWidth);
int cellZ = Math.floorDiv(z, cellWidth);
Random random = new Random((murmur64(MathUtil.squash(cellX, cellZ)) ^ seed) + salt);
Random random = new Random((MathUtil.murmur64(MathUtil.squash(cellX, cellZ)) ^ seed) + salt);
int pointX = random.nextInt(width) + cellX * cellWidth;
int pointZ = random.nextInt(width) + cellZ * cellWidth;
@@ -2,10 +2,4 @@ version = version("1.0.0")
dependencies {
compileOnlyApi(project(":common:addons:manifest-addon-loader"))
implementation("net.jafama", "jafama", Versions.Libraries.Internal.jafama)
testImplementation("net.jafama", "jafama", Versions.Libraries.Internal.jafama)
}
tasks.named<com.github.jengelman.gradle.plugins.shadow.tasks.ShadowJar>("shadowJar") {
relocate("net.jafama", "com.dfsek.terra.addons.flora.lib.jafama")
}
@@ -7,8 +7,6 @@
package com.dfsek.terra.addons.flora.flora.gen;
import net.jafama.FastMath;
import java.util.ArrayList;
import java.util.EnumSet;
import java.util.List;
@@ -60,7 +58,7 @@ public class TerraFlora implements Structure {
}
private ProbabilityCollection<BlockState> getStateCollection(int layer) {
return layers.get(FastMath.max(FastMath.min(layer, layers.size() - 1), 0));
return layers.get(Math.max(Math.min(layer, layers.size() - 1), 0));
}
private EnumSet<Direction> getFaces(Vector3Int b, WritableWorld world) {
@@ -82,8 +80,8 @@ public class TerraFlora implements Structure {
Direction.class);
if(doRotation && faces.size() == 0) return false; // Don't plant if no faces are valid.
for(int i = 0; FastMath.abs(i) < size; i += c) { // Down if ceiling, up if floor
int lvl = (FastMath.abs(i));
for(int i = 0; Math.abs(i) < size; i += c) { // Down if ceiling, up if floor
int lvl = (Math.abs(i));
BlockState data = getStateCollection((ceiling ? lvl : size - lvl - 1)).get(distribution, location.getX(), location.getY(),
location.getZ(), world.getSeed());
if(doRotation) {
@@ -2,11 +2,4 @@ version = version("1.1.0")
dependencies {
compileOnlyApi(project(":common:addons:manifest-addon-loader"))
implementation("net.jafama", "jafama", Versions.Libraries.Internal.jafama)
testImplementation("net.jafama", "jafama", Versions.Libraries.Internal.jafama)
}
tasks.named<com.github.jengelman.gradle.plugins.shadow.tasks.ShadowJar>("shadowJar") {
relocate("net.jafama", "com.dfsek.terra.addons.feature.locator.lib.jafama")
}
}
@@ -7,8 +7,6 @@
package com.dfsek.terra.addons.feature.locator.locators;
import net.jafama.FastMath;
import com.dfsek.terra.addons.feature.locator.patterns.Pattern;
import com.dfsek.terra.api.structure.feature.BinaryColumn;
import com.dfsek.terra.api.structure.feature.Locator;
@@ -27,8 +25,8 @@ public class PatternLocator implements Locator {
@Override
public BinaryColumn getSuitableCoordinates(Column<?> column) {
int min = FastMath.max(column.getMinY(), search.getMin());
int max = FastMath.min(column.getMaxY(), search.getMax());
int min = Math.max(column.getMinY(), search.getMin());
int max = Math.min(column.getMaxY(), search.getMax());
if(min >= max) return BinaryColumn.getNull();
return new BinaryColumn(min, max, y -> pattern.matches(y, column));
}
@@ -7,8 +7,6 @@
package com.dfsek.terra.addons.feature.locator.locators;
import net.jafama.FastMath;
import com.dfsek.terra.api.structure.feature.BinaryColumn;
import com.dfsek.terra.api.structure.feature.Locator;
import com.dfsek.terra.api.util.Range;
@@ -26,8 +24,8 @@ public class SurfaceLocator implements Locator {
@Override
public BinaryColumn getSuitableCoordinates(Column<?> column) {
BinaryColumnBuilder builder = column.newBinaryColumn();
int max = FastMath.min(search.getMax(), column.getMaxY());
int min = FastMath.max(search.getMin(), column.getMinY());
int max = Math.min(search.getMax(), column.getMaxY());
int min = Math.max(search.getMin(), column.getMinY());
if(min >= max) return builder.build();
for(int y = min; y < max; y++) {
if(column.getBlock(y).isAir() && !column.getBlock(y - 1).isAir()) {
@@ -22,7 +22,7 @@ public class TopLocator implements Locator {
@Override
public BinaryColumn getSuitableCoordinates(Column<?> column) {
for(int y : search) {
for(int y = search.getMax(); y >= search.getMin(); y--) {
if(column.getBlock(y).isAir() && !column.getBlock(y - 1).isAir()) {
return new BinaryColumn(y, y + 1, yi -> true);
}
@@ -7,8 +7,6 @@
package com.dfsek.terra.addons.feature.locator.patterns;
import net.jafama.FastMath;
import java.util.function.Predicate;
import com.dfsek.terra.api.block.state.BlockState;
@@ -28,8 +26,8 @@ public class MatchPattern implements Pattern {
@Override
public boolean matches(int y, Column<?> column) {
int min = FastMath.max(column.getMinY(), range.getMin() + y);
int max = FastMath.min(column.getMaxY(), range.getMax() + y);
int min = Math.max(column.getMinY(), range.getMin() + y);
int max = Math.min(column.getMaxY(), range.getMax() + y);
if(max <= min) return false;
for(int i = min; i < max; i++) {
if(!matches.test(column.getBlock(i))) return false;
@@ -39,8 +37,8 @@ public class MatchPattern implements Pattern {
@Override
public boolean matches(WritableWorld world, int x, int y, int z) {
int min = FastMath.max(world.getMinHeight(), range.getMin() + y);
int max = FastMath.min(world.getMaxHeight(), range.getMax() + y);
int min = Math.max(world.getMinHeight(), range.getMin() + y);
int max = Math.min(world.getMaxHeight(), range.getMax() + y);
if(max <= min) return false;
for(int i = min; i < max; i++) {
if(!matches.test(world.getBlockState(x, i, z))) return false;
@@ -1,16 +1,8 @@
import com.github.jengelman.gradle.plugins.shadow.tasks.ShadowJar
version = version("1.0.0")
version = version("1.1.0")
dependencies {
compileOnlyApi(project(":common:addons:manifest-addon-loader"))
api("com.dfsek", "paralithic", Versions.Libraries.paralithic)
implementation("net.jafama", "jafama", Versions.Libraries.Internal.jafama)
testImplementation("net.jafama", "jafama", Versions.Libraries.Internal.jafama)
}
tasks.named<ShadowJar>("shadowJar") {
relocate("com.dfsek.paralithic", "com.dfsek.terra.addons.noise.lib.paralithic")
relocate("net.jafama", "com.dfsek.terra.addons.noise.lib.jafama")
}
@@ -14,6 +14,7 @@ import java.util.Map;
import java.util.function.Supplier;
import com.dfsek.terra.addons.manifest.api.AddonInitializer;
import com.dfsek.terra.addons.noise.config.CubicSplinePointTemplate;
import com.dfsek.terra.addons.noise.config.DimensionApplicableNoiseSampler;
import com.dfsek.terra.addons.noise.config.templates.BinaryArithmeticTemplate;
import com.dfsek.terra.addons.noise.config.templates.DomainWarpTemplate;
@@ -21,8 +22,10 @@ import com.dfsek.terra.addons.noise.config.templates.FunctionTemplate;
import com.dfsek.terra.addons.noise.config.templates.ImageSamplerTemplate;
import com.dfsek.terra.addons.noise.config.templates.KernelTemplate;
import com.dfsek.terra.addons.noise.config.templates.LinearHeightmapSamplerTemplate;
import com.dfsek.terra.addons.noise.config.templates.TranslateSamplerTemplate;
import com.dfsek.terra.addons.noise.config.templates.noise.CellularNoiseTemplate;
import com.dfsek.terra.addons.noise.config.templates.noise.ConstantNoiseTemplate;
import com.dfsek.terra.addons.noise.config.templates.noise.DistanceSamplerTemplate;
import com.dfsek.terra.addons.noise.config.templates.noise.ExpressionFunctionTemplate;
import com.dfsek.terra.addons.noise.config.templates.noise.GaborNoiseTemplate;
import com.dfsek.terra.addons.noise.config.templates.noise.SimpleNoiseTemplate;
@@ -30,11 +33,14 @@ import com.dfsek.terra.addons.noise.config.templates.noise.fractal.BrownianMotio
import com.dfsek.terra.addons.noise.config.templates.noise.fractal.PingPongTemplate;
import com.dfsek.terra.addons.noise.config.templates.noise.fractal.RidgedFractalTemplate;
import com.dfsek.terra.addons.noise.config.templates.normalizer.ClampNormalizerTemplate;
import com.dfsek.terra.addons.noise.config.templates.normalizer.CubicSplineNormalizerTemplate;
import com.dfsek.terra.addons.noise.config.templates.normalizer.ExpressionNormalizerTemplate;
import com.dfsek.terra.addons.noise.config.templates.normalizer.LinearNormalizerTemplate;
import com.dfsek.terra.addons.noise.config.templates.normalizer.NormalNormalizerTemplate;
import com.dfsek.terra.addons.noise.config.templates.normalizer.PosterizationNormalizerTemplate;
import com.dfsek.terra.addons.noise.config.templates.normalizer.ProbabilityNormalizerTemplate;
import com.dfsek.terra.addons.noise.config.templates.normalizer.ScaleNormalizerTemplate;
import com.dfsek.terra.addons.noise.math.CubicSpline;
import com.dfsek.terra.addons.noise.samplers.arithmetic.AdditionSampler;
import com.dfsek.terra.addons.noise.samplers.arithmetic.DivisionSampler;
import com.dfsek.terra.addons.noise.samplers.arithmetic.MaxSampler;
@@ -42,6 +48,7 @@ import com.dfsek.terra.addons.noise.samplers.arithmetic.MinSampler;
import com.dfsek.terra.addons.noise.samplers.arithmetic.MultiplicationSampler;
import com.dfsek.terra.addons.noise.samplers.arithmetic.SubtractionSampler;
import com.dfsek.terra.addons.noise.samplers.noise.CellularSampler;
import com.dfsek.terra.addons.noise.samplers.noise.DistanceSampler;
import com.dfsek.terra.addons.noise.samplers.noise.random.GaussianNoiseSampler;
import com.dfsek.terra.addons.noise.samplers.noise.random.PositiveWhiteNoiseSampler;
import com.dfsek.terra.addons.noise.samplers.noise.random.WhiteNoiseSampler;
@@ -83,8 +90,11 @@ public class NoiseAddon implements AddonInitializer {
(type, o, loader, depthTracker) -> CellularSampler.DistanceFunction.valueOf((String) o))
.applyLoader(CellularSampler.ReturnType.class,
(type, o, loader, depthTracker) -> CellularSampler.ReturnType.valueOf((String) o))
.applyLoader(DistanceSampler.DistanceFunction.class,
(type, o, loader, depthTracker) -> DistanceSampler.DistanceFunction.valueOf((String) o))
.applyLoader(DimensionApplicableNoiseSampler.class, DimensionApplicableNoiseSampler::new)
.applyLoader(FunctionTemplate.class, FunctionTemplate::new);
.applyLoader(FunctionTemplate.class, FunctionTemplate::new)
.applyLoader(CubicSpline.Point.class, CubicSplinePointTemplate::new);
noiseRegistry.register(addon.key("LINEAR"), LinearNormalizerTemplate::new);
noiseRegistry.register(addon.key("NORMAL"), NormalNormalizerTemplate::new);
@@ -92,9 +102,10 @@ public class NoiseAddon implements AddonInitializer {
noiseRegistry.register(addon.key("PROBABILITY"), ProbabilityNormalizerTemplate::new);
noiseRegistry.register(addon.key("SCALE"), ScaleNormalizerTemplate::new);
noiseRegistry.register(addon.key("POSTERIZATION"), PosterizationNormalizerTemplate::new);
noiseRegistry.register(addon.key("CUBIC_SPLINE"), CubicSplineNormalizerTemplate::new);
noiseRegistry.register(addon.key("IMAGE"), ImageSamplerTemplate::new);
noiseRegistry.register(addon.key("DOMAIN_WARP"), DomainWarpTemplate::new);
noiseRegistry.register(addon.key("FBM"), BrownianMotionTemplate::new);
@@ -116,12 +127,15 @@ public class NoiseAddon implements AddonInitializer {
noiseRegistry.register(addon.key("WHITE_NOISE"), () -> new SimpleNoiseTemplate(WhiteNoiseSampler::new));
noiseRegistry.register(addon.key("POSITIVE_WHITE_NOISE"), () -> new SimpleNoiseTemplate(PositiveWhiteNoiseSampler::new));
noiseRegistry.register(addon.key("GAUSSIAN"), () -> new SimpleNoiseTemplate(GaussianNoiseSampler::new));
noiseRegistry.register(addon.key("DISTANCE"), DistanceSamplerTemplate::new);
noiseRegistry.register(addon.key("CONSTANT"), ConstantNoiseTemplate::new);
noiseRegistry.register(addon.key("KERNEL"), KernelTemplate::new);
noiseRegistry.register(addon.key("LINEAR_HEIGHTMAP"), LinearHeightmapSamplerTemplate::new);
noiseRegistry.register(addon.key("TRANSLATE"), TranslateSamplerTemplate::new);
noiseRegistry.register(addon.key("ADD"), () -> new BinaryArithmeticTemplate<>(AdditionSampler::new));
noiseRegistry.register(addon.key("SUB"), () -> new BinaryArithmeticTemplate<>(SubtractionSampler::new));
@@ -134,7 +148,7 @@ public class NoiseAddon implements AddonInitializer {
Map<String, DimensionApplicableNoiseSampler> packSamplers = new LinkedHashMap<>();
Map<String, FunctionTemplate> packFunctions = new LinkedHashMap<>();
noiseRegistry.register(addon.key("EXPRESSION"), () -> new ExpressionFunctionTemplate(packSamplers, packFunctions));
noiseRegistry.register(addon.key("EXPRESSION_NORMALIZER"), () -> new ExpressionNormalizerTemplate(packSamplers, packFunctions));
NoiseConfigPackTemplate template = event.loadTemplate(new NoiseConfigPackTemplate());
packSamplers.putAll(template.getSamplers());
@@ -0,0 +1,25 @@
package com.dfsek.terra.addons.noise.config;
import com.dfsek.tectonic.api.config.template.annotations.Value;
import com.dfsek.tectonic.api.config.template.object.ObjectTemplate;
import com.dfsek.terra.addons.noise.math.CubicSpline.Point;
import com.dfsek.terra.api.config.meta.Meta;
public class CubicSplinePointTemplate implements ObjectTemplate<Point> {
@Value("from")
private @Meta double from;
@Value("to")
private @Meta double to;
@Value("gradient")
private @Meta double gradient;
@Override
public Point get() {
return new Point(from, to, gradient);
}
}
@@ -8,6 +8,8 @@
package com.dfsek.terra.addons.noise.config.templates;
import com.dfsek.tectonic.api.config.template.annotations.Value;
import org.slf4j.Logger;
import org.slf4j.LoggerFactory;
import java.awt.image.BufferedImage;
@@ -19,6 +21,10 @@ import com.dfsek.terra.api.noise.NoiseSampler;
@SuppressWarnings({ "unused", "FieldMayBeFinal" })
public class ImageSamplerTemplate extends SamplerTemplate<ImageSampler> {
private static final Logger logger = LoggerFactory.getLogger(ImageSamplerTemplate.class);
private static boolean used = false;
@Value("image")
private @Meta BufferedImage image;
@@ -30,6 +36,12 @@ public class ImageSamplerTemplate extends SamplerTemplate<ImageSampler> {
@Override
public NoiseSampler get() {
if(!used) {
logger.warn("The IMAGE NoiseSampler implemented by the config-noise-function addon is deprecated. " +
"It is recommended to use the IMAGE NoiseSampler implemented by the config-noise-image " +
"addon instead.");
used = true;
}
return new ImageSampler(image, channel, frequency);
}
}
@@ -4,6 +4,7 @@ import com.dfsek.tectonic.api.config.template.annotations.Default;
import com.dfsek.tectonic.api.config.template.annotations.Value;
import com.dfsek.terra.addons.noise.samplers.LinearHeightmapSampler;
import com.dfsek.terra.api.config.meta.Meta;
import com.dfsek.terra.api.noise.NoiseSampler;
@@ -11,14 +12,14 @@ import com.dfsek.terra.api.noise.NoiseSampler;
public class LinearHeightmapSamplerTemplate extends SamplerTemplate<LinearHeightmapSampler> {
@Value("sampler")
@Default
private NoiseSampler sampler = NoiseSampler.zero();
private @Meta NoiseSampler sampler = NoiseSampler.zero();
@Value("base")
private double base;
private @Meta double base;
@Value("scale")
@Default
private double scale = 1;
private @Meta double scale = 1;
@Override
public NoiseSampler get() {
@@ -0,0 +1,32 @@
package com.dfsek.terra.addons.noise.config.templates;
import com.dfsek.tectonic.api.config.template.annotations.Default;
import com.dfsek.tectonic.api.config.template.annotations.Value;
import com.dfsek.terra.addons.noise.samplers.TranslateSampler;
import com.dfsek.terra.api.config.meta.Meta;
import com.dfsek.terra.api.noise.NoiseSampler;
public class TranslateSamplerTemplate extends SamplerTemplate<TranslateSampler> {
@Value("sampler")
private NoiseSampler sampler;
@Value("x")
@Default
private @Meta double x = 0;
@Value("y")
@Default
private @Meta double y = 0;
@Value("z")
@Default
private @Meta double z = 0;
@Override
public NoiseSampler get() {
return new TranslateSampler(sampler, x, y ,z);
}
}
@@ -0,0 +1,42 @@
package com.dfsek.terra.addons.noise.config.templates.noise;
import com.dfsek.tectonic.api.config.template.annotations.Default;
import com.dfsek.tectonic.api.config.template.annotations.Value;
import com.dfsek.terra.addons.noise.config.templates.SamplerTemplate;
import com.dfsek.terra.addons.noise.samplers.noise.DistanceSampler;
import com.dfsek.terra.addons.noise.samplers.noise.DistanceSampler.DistanceFunction;
import com.dfsek.terra.api.config.meta.Meta;
public class DistanceSamplerTemplate extends SamplerTemplate<DistanceSampler> {
@Value("distance-function")
@Default
private DistanceSampler.@Meta DistanceFunction distanceFunction = DistanceFunction.Euclidean;
@Value("point.x")
@Default
private @Meta double x = 0;
@Value("point.y")
@Default
private @Meta double y = 0;
@Value("point.z")
@Default
private @Meta double z = 0;
@Value("normalize")
@Default
private @Meta boolean normalize = false;
@Value("radius")
@Default
private @Meta double normalizeRadius = 100;
@Override
public DistanceSampler get() {
return new DistanceSampler(distanceFunction, x, y, z, normalize, normalizeRadius);
}
}
@@ -8,7 +8,6 @@
package com.dfsek.terra.addons.noise.config.templates.noise;
import com.dfsek.paralithic.eval.tokenizer.ParseException;
import com.dfsek.paralithic.functions.Function;
import com.dfsek.tectonic.api.config.template.annotations.Default;
import com.dfsek.tectonic.api.config.template.annotations.Value;
@@ -19,17 +18,16 @@ import java.util.Map;
import com.dfsek.terra.addons.noise.config.DimensionApplicableNoiseSampler;
import com.dfsek.terra.addons.noise.config.templates.FunctionTemplate;
import com.dfsek.terra.addons.noise.config.templates.SamplerTemplate;
import com.dfsek.terra.addons.noise.paralithic.defined.UserDefinedFunction;
import com.dfsek.terra.addons.noise.paralithic.noise.NoiseFunction2;
import com.dfsek.terra.addons.noise.paralithic.noise.NoiseFunction3;
import com.dfsek.terra.addons.noise.samplers.noise.ExpressionFunction;
import com.dfsek.terra.api.config.meta.Meta;
import com.dfsek.terra.api.noise.NoiseSampler;
import static com.dfsek.terra.addons.noise.paralithic.FunctionUtil.convertFunctionsAndSamplers;
@SuppressWarnings({ "FieldMayBeFinal", "unused" })
public class ExpressionFunctionTemplate extends SamplerTemplate<ExpressionFunction> {
private final Map<String, DimensionApplicableNoiseSampler> otherFunctions;
private final Map<String, DimensionApplicableNoiseSampler> globalSamplers;
private final Map<String, FunctionTemplate> globalFunctions;
@Value("variables")
@Default
@@ -43,44 +41,19 @@ public class ExpressionFunctionTemplate extends SamplerTemplate<ExpressionFuncti
@Default
private @Meta LinkedHashMap<String, @Meta FunctionTemplate> functions = new LinkedHashMap<>();
public ExpressionFunctionTemplate(Map<String, DimensionApplicableNoiseSampler> otherFunctions, Map<String, FunctionTemplate> samplers) {
this.otherFunctions = otherFunctions;
this.globalFunctions = samplers;
public ExpressionFunctionTemplate(Map<String, DimensionApplicableNoiseSampler> globalSamplers, Map<String, FunctionTemplate> globalFunctions) {
this.globalSamplers = globalSamplers;
this.globalFunctions = globalFunctions;
}
@Override
public NoiseSampler get() {
var mergedFunctions = new HashMap<>(globalFunctions); mergedFunctions.putAll(functions);
var mergedSamplers = new HashMap<>(globalSamplers); mergedSamplers.putAll(samplers);
try {
Map<String, Function> noiseFunctionMap = generateFunctions();
return new ExpressionFunction(noiseFunctionMap, expression, vars);
return new ExpressionFunction(convertFunctionsAndSamplers(mergedFunctions, mergedSamplers), expression, vars);
} catch(ParseException e) {
throw new RuntimeException("Failed to parse expression.", e);
}
}
private Map<String, Function> generateFunctions() throws ParseException {
Map<String, Function> noiseFunctionMap = new HashMap<>();
for(Map.Entry<String, FunctionTemplate> entry : globalFunctions.entrySet()) {
noiseFunctionMap.put(entry.getKey(), UserDefinedFunction.newInstance(entry.getValue()));
}
for(Map.Entry<String, FunctionTemplate> entry : functions.entrySet()) {
noiseFunctionMap.put(entry.getKey(), UserDefinedFunction.newInstance(entry.getValue()));
}
otherFunctions.forEach((id, function) -> {
if(function.getDimensions() == 2) {
noiseFunctionMap.put(id, new NoiseFunction2(function.getSampler()));
} else noiseFunctionMap.put(id, new NoiseFunction3(function.getSampler()));
});
samplers.forEach((id, function) -> {
if(function.getDimensions() == 2) {
noiseFunctionMap.put(id, new NoiseFunction2(function.getSampler()));
} else noiseFunctionMap.put(id, new NoiseFunction3(function.getSampler()));
});
return noiseFunctionMap;
}
}
@@ -0,0 +1,23 @@
package com.dfsek.terra.addons.noise.config.templates.normalizer;
import com.dfsek.tectonic.api.config.template.annotations.Value;
import java.util.List;
import com.dfsek.terra.addons.noise.math.CubicSpline;
import com.dfsek.terra.addons.noise.math.CubicSpline.Point;
import com.dfsek.terra.addons.noise.normalizer.CubicSplineNoiseSampler;
import com.dfsek.terra.api.config.meta.Meta;
import com.dfsek.terra.api.noise.NoiseSampler;
public class CubicSplineNormalizerTemplate extends NormalizerTemplate<CubicSplineNoiseSampler> {
@Value("points")
private @Meta List<@Meta Point> points;
@Override
public NoiseSampler get() {
return new CubicSplineNoiseSampler(function, new CubicSpline(points));
}
}
@@ -0,0 +1,63 @@
/*
* Copyright (c) 2020-2021 Polyhedral Development
*
* The Terra Core Addons are licensed under the terms of the MIT License. For more details,
* reference the LICENSE file in this module's root directory.
*/
package com.dfsek.terra.addons.noise.config.templates.normalizer;
import com.dfsek.paralithic.eval.tokenizer.ParseException;
import com.dfsek.tectonic.api.config.template.annotations.Default;
import com.dfsek.tectonic.api.config.template.annotations.Value;
import java.util.HashMap;
import java.util.LinkedHashMap;
import java.util.Map;
import com.dfsek.terra.addons.noise.config.DimensionApplicableNoiseSampler;
import com.dfsek.terra.addons.noise.config.templates.FunctionTemplate;
import com.dfsek.terra.addons.noise.normalizer.ExpressionNormalizer;
import com.dfsek.terra.api.config.meta.Meta;
import com.dfsek.terra.api.noise.NoiseSampler;
import static com.dfsek.terra.addons.noise.paralithic.FunctionUtil.convertFunctionsAndSamplers;
@SuppressWarnings({ "unused", "FieldMayBeFinal" })
public class ExpressionNormalizerTemplate extends NormalizerTemplate<ExpressionNormalizer> {
private final Map<String, DimensionApplicableNoiseSampler> globalSamplers;
private final Map<String, FunctionTemplate> globalFunctions;
@Value("expression")
private @Meta String expression;
@Value("variables")
@Default
private @Meta Map<String, @Meta Double> vars = new HashMap<>();
@Value("samplers")
@Default
private @Meta LinkedHashMap<String, @Meta DimensionApplicableNoiseSampler> samplers = new LinkedHashMap<>();
@Value("functions")
@Default
private @Meta LinkedHashMap<String, @Meta FunctionTemplate> functions = new LinkedHashMap<>();
public ExpressionNormalizerTemplate(Map<String, DimensionApplicableNoiseSampler> globalSamplers, Map<String, FunctionTemplate> globalFunctions) {
this.globalSamplers = globalSamplers;
this.globalFunctions = globalFunctions;
}
@Override
public NoiseSampler get() {
var mergedFunctions = new HashMap<>(globalFunctions); mergedFunctions.putAll(functions);
var mergedSamplers = new HashMap<>(globalSamplers); mergedSamplers.putAll(samplers);
try {
return new ExpressionNormalizer(function, convertFunctionsAndSamplers(mergedFunctions, mergedSamplers), expression, vars);
} catch(ParseException e) {
throw new RuntimeException("Failed to parse expression.", e);
}
}
}
@@ -0,0 +1,87 @@
package com.dfsek.terra.addons.noise.math;
import org.jetbrains.annotations.NotNull;
import java.util.Collections;
import java.util.List;
import static com.dfsek.terra.api.util.MathUtil.lerp;
public class CubicSpline {
private final double[] fromValues;
private final double[] toValues;
private final double[] gradients;
public CubicSpline(List<Point> points) {
Collections.sort(points);
this.fromValues = new double[points.size()];
this.toValues = new double[points.size()];
this.gradients = new double[points.size()];
for(int i = 0; i < points.size(); i++) {
fromValues[i] = points.get(i).from;
toValues[i] = points.get(i).to;
gradients[i] = points.get(i).gradient;
}
}
public double apply(double in) {
return calculate(in, fromValues, toValues, gradients);
}
public static double calculate(double in, double[] fromValues, double[] toValues, double[] gradients) {
int pointIdx = floorBinarySearch(in, fromValues) - 1;
int pointIdxLast = fromValues.length - 1;
if (pointIdx < 0) { // If to left of first point return linear function intersecting said point using point's gradient
return gradients[0] * (in - fromValues[0]) + toValues[0];
} else if (pointIdx == pointIdxLast) { // Do same if to right of last point
return gradients[pointIdxLast] * (in - fromValues[pointIdxLast]) + toValues[pointIdxLast];
} else {
double fromLeft = fromValues[pointIdx];
double fromRight = fromValues[pointIdx + 1];
double toLeft = toValues[pointIdx];
double toRight = toValues[pointIdx + 1];
double gradientLeft = gradients[pointIdx];
double gradientRight = gradients[pointIdx + 1];
double fromDelta = fromRight - fromLeft;
double toDelta = toRight - toLeft;
double t = (in - fromLeft) / fromDelta;
return lerp(t, toLeft, toRight) + t * (1.0F - t) * lerp(t, gradientLeft * fromDelta - toDelta, -gradientRight * fromDelta + toDelta);
}
}
private static int floorBinarySearch(double targetValue, double[] values) {
int left = 0;
int right = values.length;
int idx = right - left;
while (idx > 0) {
int halfDelta = idx / 2;
int mid = left + halfDelta;
if (targetValue < values[mid]) {
idx = halfDelta;
} else {
left = mid + 1;
idx -= halfDelta + 1;
}
}
return left;
}
public record Point(double from, double to, double gradient) implements Comparable<Point> {
@Override
public int compareTo(@NotNull CubicSpline.Point o) {
return Double.compare(from, o.from);
}
}
}
@@ -7,8 +7,6 @@
package com.dfsek.terra.addons.noise.normalizer;
import net.jafama.FastMath;
import com.dfsek.terra.api.noise.NoiseSampler;
@@ -24,6 +22,6 @@ public class ClampNormalizer extends Normalizer {
@Override
public double normalize(double in) {
return FastMath.max(FastMath.min(in, max), min);
return Math.max(Math.min(in, max), min);
}
}
@@ -0,0 +1,20 @@
package com.dfsek.terra.addons.noise.normalizer;
import com.dfsek.terra.addons.noise.math.CubicSpline;
import com.dfsek.terra.api.noise.NoiseSampler;
public class CubicSplineNoiseSampler extends Normalizer {
private final CubicSpline spline;
public CubicSplineNoiseSampler(NoiseSampler sampler, CubicSpline spline) {
super(sampler);
this.spline = spline;
}
@Override
public double normalize(double in) {
return spline.apply(in);
}
}
@@ -0,0 +1,33 @@
package com.dfsek.terra.addons.noise.normalizer;
import com.dfsek.paralithic.Expression;
import com.dfsek.paralithic.eval.parser.Parser;
import com.dfsek.paralithic.eval.parser.Scope;
import com.dfsek.paralithic.eval.tokenizer.ParseException;
import com.dfsek.paralithic.functions.Function;
import java.util.Map;
import com.dfsek.terra.api.noise.NoiseSampler;
public class ExpressionNormalizer extends Normalizer {
private final Expression expression;
public ExpressionNormalizer(NoiseSampler sampler, Map<String, Function> functions, String eq, Map<String, Double> vars)
throws ParseException {
super(sampler);
Parser p = new Parser();
Scope scope = new Scope();
scope.addInvocationVariable("in");
vars.forEach(scope::create);
functions.forEach(p::registerFunction);
expression = p.parse(eq, scope);
}
@Override
public double normalize(double in) {
return expression.evaluate(in);
}
}
@@ -7,8 +7,6 @@
package com.dfsek.terra.addons.noise.normalizer;
import net.jafama.FastMath;
import com.dfsek.terra.api.noise.NoiseSampler;
import com.dfsek.terra.api.util.MathUtil;
@@ -41,8 +39,8 @@ public class NormalNormalizer extends Normalizer {
end = mid;
}
}
double left = FastMath.abs(lookup[start] - in);
double right = FastMath.abs(lookup[end] - in);
double left = Math.abs(lookup[start] - in);
double right = Math.abs(lookup[end] - in);
double fin;
if(left <= right) {
@@ -7,8 +7,6 @@
package com.dfsek.terra.addons.noise.normalizer;
import net.jafama.FastMath;
import com.dfsek.terra.api.noise.NoiseSampler;
@@ -22,6 +20,6 @@ public class PosterizationNormalizer extends Normalizer {
@Override
public double normalize(double in) {
return FastMath.roundToInt((in + 1) / stepSize) * stepSize - 1;
return (int) Math.round((in + 1) / stepSize) * stepSize - 1;
}
}
@@ -0,0 +1,31 @@
package com.dfsek.terra.addons.noise.paralithic;
import com.dfsek.paralithic.eval.tokenizer.ParseException;
import com.dfsek.paralithic.functions.Function;
import java.util.HashMap;
import java.util.Map;
import com.dfsek.terra.addons.noise.config.DimensionApplicableNoiseSampler;
import com.dfsek.terra.addons.noise.config.templates.FunctionTemplate;
import com.dfsek.terra.addons.noise.paralithic.defined.UserDefinedFunction;
import com.dfsek.terra.addons.noise.paralithic.noise.NoiseFunction2;
import com.dfsek.terra.addons.noise.paralithic.noise.NoiseFunction3;
public class FunctionUtil {
private FunctionUtil() {}
public static Map<String, Function> convertFunctionsAndSamplers(Map<String, FunctionTemplate> functions,
Map<String, DimensionApplicableNoiseSampler> samplers) throws ParseException {
Map<String, Function> functionMap = new HashMap<>();
for(Map.Entry<String, FunctionTemplate> entry : functions.entrySet()) {
functionMap.put(entry.getKey(), UserDefinedFunction.newInstance(entry.getValue()));
}
samplers.forEach((id, sampler) -> functionMap.put(id,
sampler.getDimensions() == 2 ?
new NoiseFunction2(sampler.getSampler()) :
new NoiseFunction3(sampler.getSampler())));
return functionMap;
}
}
@@ -7,8 +7,6 @@
package com.dfsek.terra.addons.noise.samplers;
import net.jafama.FastMath;
import java.awt.image.BufferedImage;
import com.dfsek.terra.api.noise.NoiseSampler;
@@ -28,8 +26,8 @@ public class ImageSampler implements NoiseSampler {
@Override
public double noise(long seed, double x, double y) {
return ((channel.getChannel(image.getRGB(FastMath.floorMod(FastMath.floorToInt(x * frequency), image.getWidth()),
FastMath.floorMod(FastMath.floorToInt(y * frequency), image.getHeight()))) / 255D) - 0.5) *
return ((channel.getChannel(image.getRGB(Math.floorMod((int) Math.floor(x * frequency), image.getWidth()),
Math.floorMod((int) Math.floor(y * frequency), image.getHeight()))) / 255D) - 0.5) *
2;
}
@@ -0,0 +1,27 @@
package com.dfsek.terra.addons.noise.samplers;
import com.dfsek.terra.api.noise.NoiseSampler;
public class TranslateSampler implements NoiseSampler {
private final NoiseSampler sampler;
private final double dx, dy, dz;
public TranslateSampler(NoiseSampler sampler, double dx, double dy, double dz) {
this.sampler = sampler;
this.dx = dx;
this.dy = dy;
this.dz = dz;
}
@Override
public double noise(long seed, double x, double y) {
return sampler.noise(seed, x - dx, y - dz);
}
@Override
public double noise(long seed, double x, double y, double z) {
return sampler.noise(seed, x - dx, y - dy, z - dz);
}
}
@@ -1,7 +1,5 @@
package com.dfsek.terra.addons.noise.samplers.arithmetic;
import net.jafama.FastMath;
import com.dfsek.terra.api.noise.NoiseSampler;
@@ -12,6 +10,6 @@ public class MaxSampler extends BinaryArithmeticSampler {
@Override
public double operate(double left, double right) {
return FastMath.max(left, right);
return Math.max(left, right);
}
}
@@ -1,7 +1,5 @@
package com.dfsek.terra.addons.noise.samplers.arithmetic;
import net.jafama.FastMath;
import com.dfsek.terra.api.noise.NoiseSampler;
@@ -12,6 +10,6 @@ public class MinSampler extends BinaryArithmeticSampler {
@Override
public double operate(double left, double right) {
return FastMath.min(left, right);
return Math.min(left, right);
}
}
@@ -7,8 +7,6 @@
package com.dfsek.terra.addons.noise.samplers.noise;
import net.jafama.FastMath;
import com.dfsek.terra.addons.noise.samplers.noise.simplex.OpenSimplex2Sampler;
import com.dfsek.terra.api.noise.NoiseSampler;
@@ -223,8 +221,8 @@ public class CellularSampler extends NoiseFunction {
@Override
public double getNoiseRaw(long sl, double x, double y) {
int seed = (int) sl;
int xr = fastRound(x);
int yr = fastRound(y);
int xr = (int) Math.round(x);
int yr = (int) Math.round(y);
double distance0 = Double.MAX_VALUE;
double distance1 = Double.MAX_VALUE;
@@ -240,105 +238,43 @@ public class CellularSampler extends NoiseFunction {
double centerX = x;
double centerY = y;
switch(distanceFunction) {
default:
case Euclidean:
case EuclideanSq:
for(int xi = xr - 1; xi <= xr + 1; xi++) {
int yPrimed = yPrimedBase;
for(int yi = yr - 1; yi <= yr + 1; yi++) {
int hash = hash(seed, xPrimed, yPrimed);
int idx = hash & (255 << 1);
double vecX = (xi - x) + RAND_VECS_2D[idx] * cellularJitter;
double vecY = (yi - y) + RAND_VECS_2D[idx | 1] * cellularJitter;
double newDistance = vecX * vecX + vecY * vecY;
distance1 = fastMax(fastMin(distance1, newDistance), distance0);
if(newDistance < distance0) {
distance0 = newDistance;
closestHash = hash;
centerX = ((xi + RAND_VECS_2D[idx] * cellularJitter) / frequency);
centerY = ((yi + RAND_VECS_2D[idx | 1] * cellularJitter) / frequency);
} else if(newDistance < distance1) {
distance2 = distance1;
distance1 = newDistance;
} else if(newDistance < distance2) {
distance2 = newDistance;
}
yPrimed += PRIME_Y;
}
xPrimed += PRIME_X;
for(int xi = xr - 1; xi <= xr + 1; xi++) {
int yPrimed = yPrimedBase;
for(int yi = yr - 1; yi <= yr + 1; yi++) {
int hash = hash(seed, xPrimed, yPrimed);
int idx = hash & (255 << 1);
double vecX = (xi - x) + RAND_VECS_2D[idx] * cellularJitter;
double vecY = (yi - y) + RAND_VECS_2D[idx | 1] * cellularJitter;
double newDistance = switch(distanceFunction) {
case Manhattan -> Math.abs(vecX) + Math.abs(vecY);
case Hybrid -> (Math.abs(vecX) + Math.abs(vecY)) + (vecX * vecX + vecY * vecY);
default -> vecX * vecX + vecY * vecY;
};
distance1 = Math.max(Math.min(distance1, newDistance), distance0);
if(newDistance < distance0) {
distance0 = newDistance;
closestHash = hash;
centerX = ((xi + RAND_VECS_2D[idx] * cellularJitter) / frequency);
centerY = ((yi + RAND_VECS_2D[idx | 1] * cellularJitter) / frequency);
} else if(newDistance < distance1) {
distance2 = distance1;
distance1 = newDistance;
} else if(newDistance < distance2) {
distance2 = newDistance;
}
break;
case Manhattan:
for(int xi = xr - 1; xi <= xr + 1; xi++) {
int yPrimed = yPrimedBase;
for(int yi = yr - 1; yi <= yr + 1; yi++) {
int hash = hash(seed, xPrimed, yPrimed);
int idx = hash & (255 << 1);
double vecX = (xi - x) + RAND_VECS_2D[idx] * cellularJitter;
double vecY = (yi - y) + RAND_VECS_2D[idx | 1] * cellularJitter;
double newDistance = fastAbs(vecX) + fastAbs(vecY);
distance1 = fastMax(fastMin(distance1, newDistance), distance0);
if(newDistance < distance0) {
distance0 = newDistance;
closestHash = hash;
centerX = ((xi + RAND_VECS_2D[idx] * cellularJitter) / frequency);
centerY = ((yi + RAND_VECS_2D[idx | 1] * cellularJitter) / frequency);
} else if(newDistance < distance1) {
distance2 = distance1;
distance1 = newDistance;
} else if(newDistance < distance2) {
distance2 = newDistance;
}
yPrimed += PRIME_Y;
}
xPrimed += PRIME_X;
}
break;
case Hybrid:
for(int xi = xr - 1; xi <= xr + 1; xi++) {
int yPrimed = yPrimedBase;
for(int yi = yr - 1; yi <= yr + 1; yi++) {
int hash = hash(seed, xPrimed, yPrimed);
int idx = hash & (255 << 1);
double vecX = (xi - x) + RAND_VECS_2D[idx] * cellularJitter;
double vecY = (yi - y) + RAND_VECS_2D[idx | 1] * cellularJitter;
double newDistance = (fastAbs(vecX) + fastAbs(vecY)) + (vecX * vecX + vecY * vecY);
distance1 = fastMax(fastMin(distance1, newDistance), distance0);
if(newDistance < distance0) {
distance0 = newDistance;
closestHash = hash;
centerX = ((xi + RAND_VECS_2D[idx] * cellularJitter) / frequency);
centerY = ((yi + RAND_VECS_2D[idx | 1] * cellularJitter) / frequency);
} else if(newDistance < distance1) {
distance2 = distance1;
distance1 = newDistance;
} else if(newDistance < distance2) {
distance2 = newDistance;
}
yPrimed += PRIME_Y;
}
xPrimed += PRIME_X;
}
break;
yPrimed += PRIME_Y;
}
xPrimed += PRIME_X;
}
if(distanceFunction == DistanceFunction.Euclidean && returnType != ReturnType.CellValue) {
distance0 = fastSqrt(distance0);
distance0 = Math.sqrt(distance0);
if(returnType != ReturnType.CellValue) {
distance1 = fastSqrt(distance1);
distance1 = Math.sqrt(distance1);
}
}
@@ -351,21 +287,22 @@ public class CellularSampler extends NoiseFunction {
case Distance2Mul -> distance1 * distance0 * 0.5 - 1;
case Distance2Div -> distance0 / distance1 - 1;
case NoiseLookup -> noiseLookup.noise(sl, centerX, centerY);
case LocalNoiseLookup -> noiseLookup.noise(sl, x / frequency - centerX, y / frequency - centerY);
case Distance3 -> distance2 - 1;
case Distance3Add -> (distance2 + distance0) * 0.5 - 1;
case Distance3Sub -> distance2 - distance0 - 1;
case Distance3Mul -> distance2 * distance0 - 1;
case Distance3Div -> distance0 / distance2 - 1;
case Angle -> FastMath.atan2(y / frequency - centerY, x / frequency - centerX);
case Angle -> Math.atan2(y / frequency - centerY, x / frequency - centerX);
};
}
@Override
public double getNoiseRaw(long sl, double x, double y, double z) {
int seed = (int) sl;
int xr = fastRound(x);
int yr = fastRound(y);
int zr = fastRound(z);
int xr = (int) Math.round(x);
int yr = (int) Math.round(y);
int zr = (int) Math.round(z);
double distance0 = Double.MAX_VALUE;
double distance1 = Double.MAX_VALUE;
@@ -382,126 +319,53 @@ public class CellularSampler extends NoiseFunction {
double centerY = y;
double centerZ = z;
switch(distanceFunction) {
case Euclidean:
case EuclideanSq:
for(int xi = xr - 1; xi <= xr + 1; xi++) {
int yPrimed = yPrimedBase;
for(int xi = xr - 1; xi <= xr + 1; xi++) {
int yPrimed = yPrimedBase;
for(int yi = yr - 1; yi <= yr + 1; yi++) {
int zPrimed = zPrimedBase;
for(int zi = zr - 1; zi <= zr + 1; zi++) {
int hash = hash(seed, xPrimed, yPrimed, zPrimed);
int idx = hash & (255 << 2);
for(int yi = yr - 1; yi <= yr + 1; yi++) {
int zPrimed = zPrimedBase;
for(int zi = zr - 1; zi <= zr + 1; zi++) {
int hash = hash(seed, xPrimed, yPrimed, zPrimed);
int idx = hash & (255 << 2);
double vecX = (xi - x) + RAND_VECS_3D[idx] * cellularJitter;
double vecY = (yi - y) + RAND_VECS_3D[idx | 1] * cellularJitter;
double vecZ = (zi - z) + RAND_VECS_3D[idx | 2] * cellularJitter;
double newDistance = vecX * vecX + vecY * vecY + vecZ * vecZ;
if(newDistance < distance0) {
distance0 = newDistance;
closestHash = hash;
centerX = ((xi + RAND_VECS_3D[idx] * cellularJitter) / frequency);
centerY = ((yi + RAND_VECS_3D[idx | 1] * cellularJitter) / frequency);
centerZ = ((zi + RAND_VECS_3D[idx | 2] * cellularJitter) / frequency);
} else if(newDistance < distance1) {
distance2 = distance1;
distance1 = newDistance;
} else if(newDistance < distance2) {
distance2 = newDistance;
}
zPrimed += PRIME_Z;
}
yPrimed += PRIME_Y;
}
xPrimed += PRIME_X;
}
break;
case Manhattan:
for(int xi = xr - 1; xi <= xr + 1; xi++) {
int yPrimed = yPrimedBase;
double vecX = (xi - x) + RAND_VECS_3D[idx] * cellularJitter;
double vecY = (yi - y) + RAND_VECS_3D[idx | 1] * cellularJitter;
double vecZ = (zi - z) + RAND_VECS_3D[idx | 2] * cellularJitter;
for(int yi = yr - 1; yi <= yr + 1; yi++) {
int zPrimed = zPrimedBase;
for(int zi = zr - 1; zi <= zr + 1; zi++) {
int hash = hash(seed, xPrimed, yPrimed, zPrimed);
int idx = hash & (255 << 2);
double vecX = (xi - x) + RAND_VECS_3D[idx] * cellularJitter;
double vecY = (yi - y) + RAND_VECS_3D[idx | 1] * cellularJitter;
double vecZ = (zi - z) + RAND_VECS_3D[idx | 2] * cellularJitter;
double newDistance = fastAbs(vecX) + fastAbs(vecY) + fastAbs(vecZ);
if(newDistance < distance0) {
distance0 = newDistance;
closestHash = hash;
centerX = ((xi + RAND_VECS_3D[idx] * cellularJitter) / frequency);
centerY = ((yi + RAND_VECS_3D[idx | 1] * cellularJitter) / frequency);
centerZ = ((zi + RAND_VECS_3D[idx | 2] * cellularJitter) / frequency);
} else if(newDistance < distance1) {
distance2 = distance1;
distance1 = newDistance;
} else if(newDistance < distance2) {
distance2 = newDistance;
}
zPrimed += PRIME_Z;
double newDistance = 0;
switch(distanceFunction) {
case Euclidean, EuclideanSq -> newDistance = vecX * vecX + vecY * vecY + vecZ * vecZ;
case Manhattan -> newDistance = Math.abs(vecX) + Math.abs(vecY) + Math.abs(vecZ);
case Hybrid -> {
newDistance = (Math.abs(vecX) + Math.abs(vecY) + Math.abs(vecZ)) + (vecX * vecX + vecY * vecY + vecZ * vecZ);
distance1 = Math.max(Math.min(distance1, newDistance), distance0);
}
yPrimed += PRIME_Y;
}
xPrimed += PRIME_X;
}
break;
case Hybrid:
for(int xi = xr - 1; xi <= xr + 1; xi++) {
int yPrimed = yPrimedBase;
for(int yi = yr - 1; yi <= yr + 1; yi++) {
int zPrimed = zPrimedBase;
for(int zi = zr - 1; zi <= zr + 1; zi++) {
int hash = hash(seed, xPrimed, yPrimed, zPrimed);
int idx = hash & (255 << 2);
double vecX = (xi - x) + RAND_VECS_3D[idx] * cellularJitter;
double vecY = (yi - y) + RAND_VECS_3D[idx | 1] * cellularJitter;
double vecZ = (zi - z) + RAND_VECS_3D[idx | 2] * cellularJitter;
double newDistance = (fastAbs(vecX) + fastAbs(vecY) + fastAbs(vecZ)) +
(vecX * vecX + vecY * vecY + vecZ * vecZ);
distance1 = fastMax(fastMin(distance1, newDistance), distance0);
if(newDistance < distance0) {
distance0 = newDistance;
closestHash = hash;
centerX = ((xi + RAND_VECS_3D[idx] * cellularJitter) / frequency);
centerY = ((yi + RAND_VECS_3D[idx | 1] * cellularJitter) / frequency);
centerZ = ((zi + RAND_VECS_3D[idx | 2] * cellularJitter) / frequency);
} else if(newDistance < distance1) {
distance2 = distance1;
distance1 = newDistance;
} else if(newDistance < distance2) {
distance2 = newDistance;
}
zPrimed += PRIME_Z;
}
yPrimed += PRIME_Y;
if(newDistance < distance0) {
distance0 = newDistance;
closestHash = hash;
centerX = ((xi + RAND_VECS_3D[idx] * cellularJitter) / frequency);
centerY = ((yi + RAND_VECS_3D[idx | 1] * cellularJitter) / frequency);
centerZ = ((zi + RAND_VECS_3D[idx | 2] * cellularJitter) / frequency);
} else if(newDistance < distance1) {
distance2 = distance1;
distance1 = newDistance;
} else if(newDistance < distance2) {
distance2 = newDistance;
}
xPrimed += PRIME_X;
zPrimed += PRIME_Z;
}
break;
default:
break;
yPrimed += PRIME_Y;
}
xPrimed += PRIME_X;
}
if(distanceFunction == DistanceFunction.Euclidean && returnType != ReturnType.CellValue) {
distance0 = fastSqrt(distance0);
distance0 = Math.sqrt(distance0);
if(returnType != ReturnType.CellValue) {
distance1 = fastSqrt(distance1);
distance1 = Math.sqrt(distance1);
}
}
@@ -514,12 +378,13 @@ public class CellularSampler extends NoiseFunction {
case Distance2Mul -> distance1 * distance0 * 0.5 - 1;
case Distance2Div -> distance0 / distance1 - 1;
case NoiseLookup -> noiseLookup.noise(sl, centerX, centerY, centerZ);
case LocalNoiseLookup -> noiseLookup.noise(sl, x / frequency - centerX, y / frequency - centerY, z / frequency - centerZ);
case Distance3 -> distance2 - 1;
case Distance3Add -> (distance2 + distance0) * 0.5 - 1;
case Distance3Sub -> distance2 - distance0 - 1;
case Distance3Mul -> distance2 * distance0 - 1;
case Distance3Div -> distance0 / distance2 - 1;
case Angle -> FastMath.atan2(y / frequency - centerY, x / frequency - centerX);
case Angle -> Math.atan2(y / frequency - centerY, x / frequency - centerX);
};
}
@@ -540,6 +405,7 @@ public class CellularSampler extends NoiseFunction {
Distance2Mul,
Distance2Div,
NoiseLookup,
LocalNoiseLookup,
Distance3,
Distance3Add,
Distance3Sub,
@@ -0,0 +1,66 @@
package com.dfsek.terra.addons.noise.samplers.noise;
public class DistanceSampler extends NoiseFunction {
private final DistanceFunction distanceFunction;
private final double ox, oy, oz;
private final boolean normalize;
private final double radius;
private final double distanceAtRadius;
public DistanceSampler(DistanceFunction distanceFunction, double ox, double oy, double oz, boolean normalize, double radius) {
frequency = 1;
this.distanceFunction = distanceFunction;
this.ox = ox;
this.oy = oy;
this.oz = oz;
this.normalize = normalize;
this.radius = radius;
this.distanceAtRadius = distance2d(distanceFunction, radius, 0); // distance2d and distance3d should return the same value
}
@Override
public double getNoiseRaw(long seed, double x, double y) {
double dx = x - ox;
double dy = y - oz;
if (normalize && (Math.abs(dx) > radius || Math.abs(dy) > radius)) return 1;
double dist = distance2d(distanceFunction, dx, dy);
if (normalize) return Math.min(((2*dist)/distanceAtRadius)-1, 1);
return dist;
}
@Override
public double getNoiseRaw(long seed, double x, double y, double z) {
double dx = x - ox;
double dy = y - oy;
double dz = z - oz;
if(normalize && (Math.abs(dx) > radius || Math.abs(dy) > radius || Math.abs(dz) > radius)) return 1;
double dist = distance3d(distanceFunction, dx, dy, dz);
if (normalize) return Math.min(((2*dist)/distanceAtRadius)-1, 1);
return dist;
}
private static double distance2d(DistanceFunction distanceFunction, double x, double z) {
return switch(distanceFunction) {
case Euclidean -> Math.sqrt(x*x + z*z);
case EuclideanSq -> x*x + z*z;
case Manhattan -> Math.abs(x) + Math.abs(z);
};
}
private static double distance3d(DistanceFunction distanceFunction, double x, double y, double z) {
return switch(distanceFunction) {
case Euclidean -> Math.sqrt(x*x + y*y + z*z);
case EuclideanSq -> x*x + y*y + z*z;
case Manhattan -> Math.abs(x) + Math.abs(y) + Math.abs(z);
};
}
public enum DistanceFunction {
Euclidean,
EuclideanSq,
Manhattan
}
}
@@ -7,9 +7,8 @@
package com.dfsek.terra.addons.noise.samplers.noise;
import net.jafama.FastMath;
import com.dfsek.terra.addons.noise.samplers.noise.random.WhiteNoiseSampler;
import com.dfsek.terra.api.util.MathUtil;
public class GaborNoiseSampler extends NoiseFunction {
@@ -17,11 +16,11 @@ public class GaborNoiseSampler extends NoiseFunction {
private double k = 1.0;
private double a = 0.1;
private double f0 = 0.625;
private double kernelRadius = (FastMath.sqrt(-FastMath.log(0.05) / Math.PI) / a);
private double kernelRadius = (Math.sqrt(-Math.log(0.05) / Math.PI) / a);
private double impulsesPerKernel = 64d;
private double impulseDensity = (impulsesPerKernel / (Math.PI * kernelRadius * kernelRadius));
private double impulsesPerCell = impulseDensity * kernelRadius * kernelRadius;
private double g = FastMath.exp(-impulsesPerCell);
private double g = Math.exp(-impulsesPerCell);
private double omega0 = Math.PI * 0.25;
private boolean isotropic = true;
@@ -32,17 +31,17 @@ public class GaborNoiseSampler extends NoiseFunction {
}
private void recalculateRadiusAndDensity() {
kernelRadius = (FastMath.sqrt(-FastMath.log(0.05) / Math.PI) / this.a);
kernelRadius = (Math.sqrt(-Math.log(0.05) / Math.PI) / this.a);
impulseDensity = (impulsesPerKernel / (Math.PI * kernelRadius * kernelRadius));
impulsesPerCell = impulseDensity * kernelRadius * kernelRadius;
g = FastMath.exp(-impulsesPerCell);
g = Math.exp(-impulsesPerCell);
}
private double gaborNoise(long seed, double x, double y) {
x /= kernelRadius;
y /= kernelRadius;
int xi = fastFloor(x);
int yi = fastFloor(y);
int xi = (int) Math.floor(x);
int yi = (int) Math.floor(y);
double xf = x - xi;
double yf = y - yi;
double noise = 0;
@@ -55,7 +54,7 @@ public class GaborNoiseSampler extends NoiseFunction {
}
private double calculateCell(long seed, int xi, int yi, double x, double y) {
long mashedSeed = murmur64(31L * xi + yi) + seed;
long mashedSeed = MathUtil.murmur64(31L * xi + yi) + seed;
double gaussianSource = (rand.getNoiseRaw(mashedSeed++) + 1) / 2;
int impulses = 0;
@@ -73,7 +72,7 @@ public class GaborNoiseSampler extends NoiseFunction {
}
private double gabor(double omega_0, double x, double y) {
return k * (FastMath.exp(-Math.PI * (a * a) * (x * x + y * y)) * fastCos(2 * Math.PI * f0 * (x * fastCos(omega_0) + y * fastSin(
return k * (Math.exp(-Math.PI * (a * a) * (x * x + y * y)) * MathUtil.cos(2 * Math.PI * f0 * (x * MathUtil.cos(omega_0) + y * MathUtil.sin(
omega_0))));
}
@@ -7,25 +7,15 @@
package com.dfsek.terra.addons.noise.samplers.noise;
import net.jafama.FastMath;
import com.dfsek.terra.api.noise.NoiseSampler;
@SuppressWarnings("ManualMinMaxCalculation")
public abstract class NoiseFunction implements NoiseSampler {
// Hashing
protected static final int PRIME_X = 501125321;
protected static final int PRIME_Y = 1136930381;
protected static final int PRIME_Z = 1720413743;
static final int precision = 100;
static final int modulus = 360 * precision;
static final double[] sin = new double[360 * 100]; // lookup table
static {
for(int i = 0; i < sin.length; i++) {
sin[i] = (float) Math.sin((double) (i) / (precision));
}
}
protected double frequency = 0.02d;
protected long salt;
@@ -33,10 +23,6 @@ public abstract class NoiseFunction implements NoiseSampler {
this.salt = 0;
}
protected static int fastFloor(double f) {
return f >= 0 ? (int) f : (int) f - 1;
}
protected static int hash(int seed, int xPrimed, int yPrimed, int zPrimed) {
int hash = seed ^ xPrimed ^ yPrimed ^ zPrimed;
@@ -51,77 +37,6 @@ public abstract class NoiseFunction implements NoiseSampler {
return hash;
}
protected static int fastRound(double f) {
return f >= 0 ? (int) (f + 0.5f) : (int) (f - 0.5);
}
protected static double lerp(double a, double b, double t) {
return a + t * (b - a);
}
protected static double interpHermite(double t) {
return t * t * (3 - 2 * t);
}
protected static double interpQuintic(double t) {
return t * t * t * (t * (t * 6 - 15) + 10);
}
protected static double cubicLerp(double a, double b, double c, double d, double t) {
double p = (d - c) - (a - b);
return t * t * t * p + t * t * ((a - b) - p) + t * (c - a) + b;
}
protected static double fastMin(double a, double b) {
return a < b ? a : b;
}
protected static double fastMax(double a, double b) {
return a > b ? a : b;
}
protected static double fastAbs(double f) {
return f < 0 ? -f : f;
}
protected static double fastSqrt(double f) {
return FastMath.sqrt(f);
}
protected static int fastCeil(double f) {
int i = (int) f;
if(i < f) i++;
return i;
}
/**
* Murmur64 hashing function
*
* @param h Input value
*
* @return Hashed value
*/
protected static long murmur64(long h) {
h ^= h >>> 33;
h *= 0xff51afd7ed558ccdL;
h ^= h >>> 33;
h *= 0xc4ceb9fe1a85ec53L;
h ^= h >>> 33;
return h;
}
protected static double fastSin(double a) {
return sinLookup((int) (a * precision + 0.5f));
}
protected static double fastCos(double a) {
return sinLookup((int) ((a + Math.PI / 2) * precision + 0.5f));
}
private static double sinLookup(int a) {
return a >= 0 ? sin[a % (modulus)] : -sin[-a % (modulus)];
}
public void setSalt(long salt) {
this.salt = salt;
}
@@ -8,6 +8,7 @@
package com.dfsek.terra.addons.noise.samplers.noise.fractal;
import com.dfsek.terra.api.noise.NoiseSampler;
import com.dfsek.terra.api.util.MathUtil;
public class BrownianMotionSampler extends FractalNoiseFunction {
@@ -23,7 +24,7 @@ public class BrownianMotionSampler extends FractalNoiseFunction {
for(int i = 0; i < octaves; i++) {
double noise = input.noise(seed++, x, y);
sum += noise * amp;
amp *= lerp(1.0, fastMin(noise + 1, 2) * 0.5, weightedStrength);
amp *= MathUtil.lerp(1.0, Math.min(noise + 1, 2) * 0.5, weightedStrength);
x *= lacunarity;
y *= lacunarity;
@@ -41,7 +42,7 @@ public class BrownianMotionSampler extends FractalNoiseFunction {
for(int i = 0; i < octaves; i++) {
double noise = input.noise(seed++, x, y, z);
sum += noise * amp;
amp *= lerp(1.0, (noise + 1) * 0.5, weightedStrength);
amp *= MathUtil.lerp(1.0, (noise + 1) * 0.5, weightedStrength);
x *= lacunarity;
y *= lacunarity;
@@ -25,7 +25,7 @@ public abstract class FractalNoiseFunction extends NoiseFunction {
}
protected void calculateFractalBounding() {
double gain = fastAbs(this.gain);
double gain = Math.abs(this.gain);
double amp = gain;
double ampFractal = 1.0;
for(int i = 1; i < octaves; i++) {
@@ -8,6 +8,7 @@
package com.dfsek.terra.addons.noise.samplers.noise.fractal;
import com.dfsek.terra.api.noise.NoiseSampler;
import com.dfsek.terra.api.util.MathUtil;
public class PingPongSampler extends FractalNoiseFunction {
@@ -35,7 +36,7 @@ public class PingPongSampler extends FractalNoiseFunction {
for(int i = 0; i < octaves; i++) {
double noise = pingPong((input.noise(seed++, x, y) + 1) * pingPongStrength);
sum += (noise - 0.5) * 2 * amp;
amp *= lerp(1.0, noise, weightedStrength);
amp *= MathUtil.lerp(1.0, noise, weightedStrength);
x *= lacunarity;
y *= lacunarity;
@@ -53,7 +54,7 @@ public class PingPongSampler extends FractalNoiseFunction {
for(int i = 0; i < octaves; i++) {
double noise = pingPong((input.noise(seed++, x, y, z) + 1) * pingPongStrength);
sum += (noise - 0.5) * 2 * amp;
amp *= lerp(1.0, noise, weightedStrength);
amp *= MathUtil.lerp(1.0, noise, weightedStrength);
x *= lacunarity;
y *= lacunarity;
@@ -8,6 +8,7 @@
package com.dfsek.terra.addons.noise.samplers.noise.fractal;
import com.dfsek.terra.api.noise.NoiseSampler;
import com.dfsek.terra.api.util.MathUtil;
public class RidgedFractalSampler extends FractalNoiseFunction {
@@ -22,9 +23,9 @@ public class RidgedFractalSampler extends FractalNoiseFunction {
double amp = fractalBounding;
for(int i = 0; i < octaves; i++) {
double noise = fastAbs(input.noise(seed++, x, y));
double noise = Math.abs(input.noise(seed++, x, y));
sum += (noise * -2 + 1) * amp;
amp *= lerp(1.0, 1 - noise, weightedStrength);
amp *= MathUtil.lerp(1.0, 1 - noise, weightedStrength);
x *= lacunarity;
y *= lacunarity;
@@ -40,9 +41,9 @@ public class RidgedFractalSampler extends FractalNoiseFunction {
double amp = fractalBounding;
for(int i = 0; i < octaves; i++) {
double noise = fastAbs(input.noise(seed++, x, y, z));
double noise = Math.abs(input.noise(seed++, x, y, z));
sum += (noise * -2 + 1) * amp;
amp *= lerp(1.0, 1 - noise, weightedStrength);
amp *= MathUtil.lerp(1.0, 1 - noise, weightedStrength);
x *= lacunarity;
y *= lacunarity;
@@ -7,6 +7,9 @@
package com.dfsek.terra.addons.noise.samplers.noise.random;
import com.dfsek.terra.api.util.MathUtil;
/**
* NoiseSampler implementation to produce random, uniformly distributed (white) noise.
*/
@@ -15,7 +18,7 @@ public class PositiveWhiteNoiseSampler extends WhiteNoiseSampler {
// Bits that when applied to the exponent/sign section of a double, produce a positive number with a power of 1.
public double getNoiseRaw(long seed) {
return (Double.longBitsToDouble((murmur64(seed) & 0x000fffffffffffffL) | POSITIVE_POW1) - 1.5) * 2;
return (Double.longBitsToDouble((MathUtil.murmur64(seed) & 0x000fffffffffffffL) | POSITIVE_POW1) - 1.5) * 2;
}
@Override
@@ -8,6 +8,7 @@
package com.dfsek.terra.addons.noise.samplers.noise.random;
import com.dfsek.terra.addons.noise.samplers.noise.NoiseFunction;
import com.dfsek.terra.api.util.MathUtil;
/**
@@ -24,18 +25,18 @@ public class WhiteNoiseSampler extends NoiseFunction {
long hashX = Double.doubleToRawLongBits(x) ^ seed;
long hashZ = Double.doubleToRawLongBits(y) ^ seed;
long hash = (((hashX ^ (hashX >>> 32)) + ((hashZ ^ (hashZ >>> 32)) << 32)) ^ seed) + Double.doubleToRawLongBits(z);
return murmur64(hash);
return MathUtil.murmur64(hash);
}
public long randomBits(long seed, double x, double y) {
long hashX = Double.doubleToRawLongBits(x) ^ seed;
long hashZ = Double.doubleToRawLongBits(y) ^ seed;
long hash = ((hashX ^ (hashX >>> 32)) + ((hashZ ^ (hashZ >>> 32)) << 32)) ^ seed;
return murmur64(hash);
return MathUtil.murmur64(hash);
}
public double getNoiseRaw(long seed) {
return (Double.longBitsToDouble((murmur64(seed) & 0x000fffffffffffffL) | POSITIVE_POW1) - 1.5) * 2;
return (Double.longBitsToDouble((MathUtil.murmur64(seed) & 0x000fffffffffffffL) | POSITIVE_POW1) - 1.5) * 2;
}
@Override
@@ -26,8 +26,8 @@ public class OpenSimplex2SSampler extends SimplexStyleSampler {
y += s;
int i = fastFloor(x);
int j = fastFloor(y);
int i = (int) Math.floor(x);
int j = (int) Math.floor(y);
double xi = x - i;
double yi = y - j;
@@ -131,9 +131,9 @@ public class OpenSimplex2SSampler extends SimplexStyleSampler {
z = r - z;
int i = fastFloor(x);
int j = fastFloor(y);
int k = fastFloor(z);
int i = (int) Math.floor(x);
int j = (int) Math.floor(y);
int k = (int) Math.floor(z);
double xi = x - i;
double yi = y - j;
double zi = z - k;
@@ -25,8 +25,8 @@ public class OpenSimplex2Sampler extends SimplexStyleSampler {
y += s;
int i = fastFloor(x);
int j = fastFloor(y);
int i = (int) Math.floor(x);
int j = (int) Math.floor(y);
double xi = x - i;
double yi = y - j;
@@ -85,9 +85,9 @@ public class OpenSimplex2Sampler extends SimplexStyleSampler {
z = r - z;
int i = fastRound(x);
int j = fastRound(y);
int k = fastRound(z);
int i = (int) Math.round(x);
int j = (int) Math.round(y);
int k = (int) Math.round(z);
double x0 = x - i;
double y0 = y - j;
double z0 = z - k;
@@ -7,6 +7,9 @@
package com.dfsek.terra.addons.noise.samplers.noise.simplex;
import com.dfsek.terra.api.util.MathUtil;
/**
* NoiseSampler implementation to provide Perlin Noise.
*/
@@ -14,34 +17,34 @@ public class PerlinSampler extends SimplexStyleSampler {
@Override
public double getNoiseRaw(long sl, double x, double y) {
int seed = (int) sl;
int x0 = fastFloor(x);
int y0 = fastFloor(y);
int x0 = (int) Math.floor(x);
int y0 = (int) Math.floor(y);
double xd0 = x - x0;
double yd0 = y - y0;
double xd1 = xd0 - 1;
double yd1 = yd0 - 1;
double xs = interpQuintic(xd0);
double ys = interpQuintic(yd0);
double xs = MathUtil.interpQuintic(xd0);
double ys = MathUtil.interpQuintic(yd0);
x0 *= PRIME_X;
y0 *= PRIME_Y;
int x1 = x0 + PRIME_X;
int y1 = y0 + PRIME_Y;
double xf0 = lerp(gradCoord(seed, x0, y0, xd0, yd0), gradCoord(seed, x1, y0, xd1, yd0), xs);
double xf1 = lerp(gradCoord(seed, x0, y1, xd0, yd1), gradCoord(seed, x1, y1, xd1, yd1), xs);
double xf0 = MathUtil.lerp(gradCoord(seed, x0, y0, xd0, yd0), gradCoord(seed, x1, y0, xd1, yd0), xs);
double xf1 = MathUtil.lerp(gradCoord(seed, x0, y1, xd0, yd1), gradCoord(seed, x1, y1, xd1, yd1), xs);
return lerp(xf0, xf1, ys) * 1.4247691104677813;
return MathUtil.lerp(xf0, xf1, ys) * 1.4247691104677813;
}
@Override
public double getNoiseRaw(long sl, double x, double y, double z) {
int seed = (int) sl;
int x0 = fastFloor(x);
int y0 = fastFloor(y);
int z0 = fastFloor(z);
int x0 = (int) Math.floor(x);
int y0 = (int) Math.floor(y);
int z0 = (int) Math.floor(z);
double xd0 = x - x0;
double yd0 = y - y0;
@@ -50,9 +53,9 @@ public class PerlinSampler extends SimplexStyleSampler {
double yd1 = yd0 - 1;
double zd1 = zd0 - 1;
double xs = interpQuintic(xd0);
double ys = interpQuintic(yd0);
double zs = interpQuintic(zd0);
double xs = MathUtil.interpQuintic(xd0);
double ys = MathUtil.interpQuintic(yd0);
double zs = MathUtil.interpQuintic(zd0);
x0 *= PRIME_X;
y0 *= PRIME_Y;
@@ -61,14 +64,14 @@ public class PerlinSampler extends SimplexStyleSampler {
int y1 = y0 + PRIME_Y;
int z1 = z0 + PRIME_Z;
double xf00 = lerp(gradCoord(seed, x0, y0, z0, xd0, yd0, zd0), gradCoord(seed, x1, y0, z0, xd1, yd0, zd0), xs);
double xf10 = lerp(gradCoord(seed, x0, y1, z0, xd0, yd1, zd0), gradCoord(seed, x1, y1, z0, xd1, yd1, zd0), xs);
double xf01 = lerp(gradCoord(seed, x0, y0, z1, xd0, yd0, zd1), gradCoord(seed, x1, y0, z1, xd1, yd0, zd1), xs);
double xf11 = lerp(gradCoord(seed, x0, y1, z1, xd0, yd1, zd1), gradCoord(seed, x1, y1, z1, xd1, yd1, zd1), xs);
double xf00 = MathUtil.lerp(gradCoord(seed, x0, y0, z0, xd0, yd0, zd0), gradCoord(seed, x1, y0, z0, xd1, yd0, zd0), xs);
double xf10 = MathUtil.lerp(gradCoord(seed, x0, y1, z0, xd0, yd1, zd0), gradCoord(seed, x1, y1, z0, xd1, yd1, zd0), xs);
double xf01 = MathUtil.lerp(gradCoord(seed, x0, y0, z1, xd0, yd0, zd1), gradCoord(seed, x1, y0, z1, xd1, yd0, zd1), xs);
double xf11 = MathUtil.lerp(gradCoord(seed, x0, y1, z1, xd0, yd1, zd1), gradCoord(seed, x1, y1, z1, xd1, yd1, zd1), xs);
double yf0 = lerp(xf00, xf10, ys);
double yf1 = lerp(xf01, xf11, ys);
double yf0 = MathUtil.lerp(xf00, xf10, ys);
double yf1 = MathUtil.lerp(xf01, xf11, ys);
return lerp(yf0, yf1, zs) * 0.964921414852142333984375;
return MathUtil.lerp(yf0, yf1, zs) * 0.964921414852142333984375;
}
}
@@ -61,8 +61,8 @@ public class SimplexSampler extends SimplexStyleSampler {
public double getNoiseRaw(long sl, double x, double y) {
int seed = (int) sl;
double t = (x + y) * F2;
int i = fastFloor(x + t);
int j = fastFloor(y + t);
int i = (int) Math.floor(x + t);
int j = (int) Math.floor(y + t);
t = (i + j) * G2;
double X0 = i - t;
@@ -118,9 +118,9 @@ public class SimplexSampler extends SimplexStyleSampler {
public double getNoiseRaw(long sl, double x, double y, double z) {
int seed = (int) sl;
double t = (x + y + z) * F3;
int i = fastFloor(x + t);
int j = fastFloor(y + t);
int k = fastFloor(z + t);
int i = (int) Math.floor(x + t);
int j = (int) Math.floor(y + t);
int k = (int) Math.floor(z + t);
t = (i + j + k) * G3;
double x0 = x - (i - t);

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