a7bb9496ae
Vanilla-faithful overworld generator (final_density + multi-noise biomes), full connection lifecycle (status/login/configuration/play), chunk streaming, creative block editing, and the protocol/nbt/registry infrastructure.
37 lines
1.6 KiB
Go
37 lines
1.6 KiB
Go
package worldgen
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// This file samples the climate density functions into a TargetPoint for the
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// biome finder. The climate router keys are 2D (flat_cache + y_scale=0) except
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// depth, which is 3D. For surface biome selection we fix depth to 0.0, matching
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// the depth=0 (surface) entries of the biome parameter table; underground and
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// cave biomes use depth=1.0 / non-zero offset and are a later milestone.
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// SampleColumn evaluates the six climate parameters at block (wx, wz) using od
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// and returns the TargetPoint for surface biome lookup. seaLevelY is the Y at
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// which to sample the 2D climate noises (callers pass the world sea level).
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func SampleColumn(od *OverworldDensity, seaLevelY int, wx, wz int) TargetPoint {
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ctx := FunctionContext{X: float64(wx), Y: float64(seaLevelY), Z: float64(wz)}
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temp := computeOrZero(od.Temperature, ctx)
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humid := computeOrZero(od.Humidity, ctx)
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cont := computeOrZero(od.Continentalness, ctx)
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ero := computeOrZero(od.Erosion, ctx)
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weird := computeOrZero(od.Weirdness, ctx)
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// Surface layer: depth axis is fixed at 0.0 so only the depth=0 (surface)
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// biome parameter entries match. The real 3D depth is consulted in the
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// per-cell milestone.
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const surfaceDepth = 0.0
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return NewTargetPoint(temp, humid, cont, ero, weird, surfaceDepth)
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}
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// computeOrZero evaluates df at ctx, returning 0 when df is nil (a climate key
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// absent from the router). This keeps sampling robust without special-casing
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// each axis at the call site.
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func computeOrZero(df DensityFunction, ctx FunctionContext) float64 {
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if df == nil {
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return 0
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}
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return df.Compute(ctx)
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}
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