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112 lines
4.9 KiB
Markdown
112 lines
4.9 KiB
Markdown
# Ultimate Training Modpack Plugin
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[](https://github.com/jugeeya/UltimateTrainingModpack/releases)
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[](https://github.com/jugeeya/UltimateTrainingModpack/actions)
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[](https://discord.gg/qU4TBwV)
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[](https://twitter.com/jugeeya)
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A [Skyline](https://github.com/shadowninja108/Skyline) plugin using [cargo-skyline](https://github.com/jam1garner/cargo-skyline) for adding features to the training mode. It interfaces with a [Tesla](https://github.com/WerWolv/libtesla), a Switch custom overlay, for use as a menu to the features offered in training mode.
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Built releases can be found [here](https://github.com/jugeeya/UltimateTrainingModpack/releases/).
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- [Features](#features)
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- [Build](#build)
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<a name="features"/>
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# Features
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The features in this modpack are configured through the Tesla menu, which can be accessed at any time with by pressing `L+X+DPad Left`. This button configuration is fully configurable in the file `/config/tesla/config.ini`.
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[<img src="https://i.imgur.com/ZjbGRwy.jpg">](https://i.imgur.com/ZjbGRwy.jpg)
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[<img src="https://pbs.twimg.com/media/EZCN6c_UEAEViHA?format=jpg&name=large">](https://pbs.twimg.com/media/EZCN6c_UEAEViHA?format=jpg&name=large)
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#### Save States
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At any time in Training Mode, you can press `Grab + Down Taunt` to save the state of training mode. This will save the position, state, and damage of each fighter, which can then be reverted to at any time with `Grab + Up Taunt`. Use this instead of the built-in training mode reset!
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#### Hitbox Visualization
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Currently, hitboxes and grabboxes are supported. When visualization is active, other move effects are temporarily turned off for easier visualization.
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##### Mash Toggles
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*Note:* Combine this with the shield toggles to force the CPU to perform options OoS when their shield is damaged!
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###### Airdodge
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CPUs will mash airdodge on the first frame out of hitstun.
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CPUs will also shield quickly if they are hit and remain grounded.
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###### Jump
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CPUs will mash jump on the first frame out of hitstun.
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###### Attack
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CPUs will mash an attack on the first frame out of hitstun and when landing.
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Attacks that can be chosen include:
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- All aerials, followed by all specials
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###### Random
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CPUs will mash an aerial or grounded option on the first frame out of hitstun and when landing.
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The aerial options include:
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- Airdodge, jump, all aerials, all specials
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The grounded options include:
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- Jump, jab, all tilts, all smashes, all specials, grab, spotdodge, and rolls
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##### Ledge Option
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CPUs will perform a random ledge option.
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Specific ledge options that can be chosen include:
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- Normal, roll, jump, and attack
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CPUs will also perform a defensive option after getting up.
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##### Tech Option
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CPUs will perform a random tech option.
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Specific tech options that can be chosen include:
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- In place, roll, and miss tech
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CPUs will also perform a defensive option after getting up.
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##### Defensive Option
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Choose the defensive option a CPU will perform after teching or getting up from the ledge.
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Specific options include:
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Flash shield, spotdodge, and jab
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##### Shield
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###### Infinite
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CPUs will hold a shield that does not deteriorate over time or by damage.
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###### Hold
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CPUs will hold a shield that does not deteriorate over time until hit for the first time.
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#### Force CPU DI
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##### All DI Toggles
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##### Specified Direction
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CPUs DI in the direction specified, relative to the player's facing position.
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##### Random Direction
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CPUs DI randomly in or away.
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<a name="build"/>
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# Build from Source
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The overall process can be found in the [Github Actions specification file](https://github.com/jugeeya/UltimateTrainingModpack/blob/master/.github/workflows/rust.yml) as well.
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## Prerequisites
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- Rust environment with [cargo-skyline](https://github.com/jam1garner/cargo-skyline)
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- [DEVKITPRO](https://devkitpro.org/wiki/Getting_Started) `switch-dev` installation
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- Built [Skyline](https://github.com/shadowninja108/Skyline), [Tesla nx-ovlloader and Tesla Menu](https://gbatemp.net/threads/tesla-the-nintendo-switch-overlay-menu.557362/), and [libnro_hook.nro](https://github.com/ultimate-research/nro-hook-plugin)
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## Build steps
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```bash
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# clone the repository recursively
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git clone --recursive
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# to build the training mod Skyline plugin
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# resulting build is found in target/aarch64-skyline-switch/release/libtraining_modpack.nro
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cargo skyline build --release
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# to build the training mod Tesla overlay
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# resulting build is ovlTrainingModpack.ovl
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cd TrainingModpackOverlay && make
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```
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