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Switched to vanilla values to stop movement from flagging anticheats #112
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@@ -533,7 +535,7 @@ function Physics (mcData, world) { | |||
// Calculate what the speed is (0.1 if no modification) | |||
const attributeSpeed = attribute.getAttributeValue(playerSpeedAttribute) | |||
inertia = (blockSlipperiness[blockUnder.type] || physics.defaultSlipperiness) * 0.91 | |||
acceleration = attributeSpeed * (0.1627714 / (inertia * inertia * inertia)) | |||
acceleration = attributeSpeed * (0.16277136 / (inertia * inertia * inertia)) |
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This is the only actual change in this PR. The other changes have no effect, you can revert them. If there are errors in calculation, they are likely to be caused by 64-bit vs 32-bit float differences, and that's what Math.fround is supposed to fix.
Very likely that these values differ between versions. |
How do you measure 99.9999999793 accuracy?
…On Wed, Nov 29, 2023, 21:42 Frej Alexander Nielsen ***@***.***> wrote:
Very likely that these values differ between versions.
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I measured the difference in speed values across many different situations and it was off by 0.0000000207. The difference somes from 32 bit to 64 bit conversions from floats to doubles. |
@@ -690,7 +692,7 @@ function Physics (mcData, world) { | |||
vel.y += 0.04 | |||
} else if (entity.onGround && entity.jumpTicks === 0) { | |||
const blockBelow = world.getBlock(entity.pos.floored().offset(0, -0.5, 0)) | |||
vel.y = Math.fround(0.42) * ((blockBelow && blockBelow.type === honeyblockId) ? physics.honeyblockJumpSpeed : 1) | |||
vel.y = 0.42 * ((blockBelow && blockBelow.type === honeyblockId) ? physics.honeyblockJumpSpeed : 1) |
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This change is incorrect. Current version is right.
See https://github.com/extremeheat/extracted_minecraft_data/blob/client1.19.3/client/net/minecraft/world/entity/LivingEntity.java#L2019 for reference.
please fix |
The values in the current version flag some anticheats. I switched them to the values from MoveEntityWithHeading in EntityLivingBase.java. These values now emulate vanilla movement with 99.9999999793% accuracy.