use runmat_builtins::{ResolveContext, Type, Value};
use runmat_macros::runtime_builtin;
use crate::builtins::common::spec::{
BroadcastSemantics, BuiltinFusionSpec, BuiltinGpuSpec, ConstantStrategy, GpuOpKind,
ReductionNaN, ResidencyPolicy, ScalarType, ShapeRequirements,
};
use super::pp::{
build_spline_pp, evaluate_pp, interp_error, pp_to_value, query_points, series_from_values,
Extrapolation,
};
const NAME: &str = "spline";
#[runmat_macros::register_gpu_spec(builtin_path = "crate::builtins::math::interpolation::spline")]
pub const GPU_SPEC: BuiltinGpuSpec = BuiltinGpuSpec {
name: NAME,
op_kind: GpuOpKind::Custom("cubic-spline"),
supported_precisions: &[ScalarType::F32, ScalarType::F64],
broadcast: BroadcastSemantics::Matlab,
provider_hooks: &[],
constant_strategy: ConstantStrategy::InlineLiteral,
residency: ResidencyPolicy::GatherImmediately,
nan_mode: ReductionNaN::Include,
two_pass_threshold: None,
workgroup_size: None,
accepts_nan_mode: false,
notes: "Spline coefficient construction and evaluation currently run on the CPU reference path after gathering GPU inputs.",
};
#[runmat_macros::register_fusion_spec(
builtin_path = "crate::builtins::math::interpolation::spline"
)]
pub const FUSION_SPEC: BuiltinFusionSpec = BuiltinFusionSpec {
name: NAME,
shape: ShapeRequirements::Any,
constant_strategy: ConstantStrategy::InlineLiteral,
elementwise: None,
reduction: None,
emits_nan: false,
notes: "Spline builds a piecewise-polynomial representation and is not fused.",
};
fn spline_type(args: &[Type], _ctx: &ResolveContext) -> Type {
match args.len() {
0 | 1 => Type::Unknown,
2 => Type::Struct { known_fields: None },
_ => match args.get(2) {
Some(Type::Num | Type::Int | Type::Bool) => Type::Num,
Some(Type::Tensor { shape }) | Some(Type::Logical { shape }) => Type::Tensor {
shape: shape.clone(),
},
_ => Type::tensor(),
},
}
}
#[runtime_builtin(
name = "spline",
category = "math/interpolation",
summary = "Cubic spline interpolation and piecewise-polynomial construction.",
keywords = "spline,cubic interpolation,pp,ppval",
accel = "sink",
sink = true,
type_resolver(spline_type),
builtin_path = "crate::builtins::math::interpolation::spline"
)]
async fn spline_builtin(x: Value, y: Value, rest: Vec<Value>) -> crate::BuiltinResult<Value> {
let series = series_from_values(x, y, NAME).await?;
let pp = build_spline_pp(&series, NAME)?;
match rest.len() {
0 => pp_to_value(pp, NAME),
1 => {
let query = query_points(rest.into_iter().next().expect("query"), NAME).await?;
evaluate_pp(&pp, &query, &Extrapolation::Extrapolate, NAME)
}
_ => Err(interp_error(NAME, "spline: too many input arguments")),
}
}
#[cfg(test)]
mod tests {
use super::*;
use futures::executor::block_on;
use runmat_builtins::{StructValue, Tensor};
fn row(values: &[f64]) -> Value {
Value::Tensor(Tensor::new(values.to_vec(), vec![1, values.len()]).expect("tensor"))
}
#[test]
fn spline_two_arg_returns_pp_struct() {
let value = block_on(spline_builtin(
row(&[1.0, 2.0, 3.0]),
row(&[1.0, 4.0, 9.0]),
vec![],
))
.expect("spline");
let Value::Struct(StructValue { fields }) = value else {
panic!("expected struct");
};
assert!(fields.contains_key("breaks"));
assert!(fields.contains_key("coefs"));
}
#[test]
fn spline_three_arg_evaluates() {
let value = block_on(spline_builtin(
row(&[1.0, 2.0, 3.0]),
row(&[1.0, 4.0, 9.0]),
vec![Value::Num(1.5)],
))
.expect("spline");
let Value::Num(result) = value else {
panic!("expected scalar");
};
assert!((result - 2.25).abs() < 1e-10);
}
}