forked from kscience/kmath
Fix linear interpolator const
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@ -17,7 +17,7 @@ class LinearInterpolator<T : Comparable<T>>(override val algebra: Field<T>) : Po
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OrderedPiecewisePolynomial(points.x[0]).apply {
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OrderedPiecewisePolynomial(points.x[0]).apply {
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for (i in 0 until points.size - 1) {
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for (i in 0 until points.size - 1) {
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val slope = (points.y[i + 1] - points.y[i]) / (points.x[i + 1] - points.x[i])
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val slope = (points.y[i + 1] - points.y[i]) / (points.x[i + 1] - points.x[i])
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val const = points.x[i] - slope * points.x[i]
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val const = points.y[i] - slope * points.x[i]
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val polynomial = Polynomial(const, slope)
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val polynomial = Polynomial(const, slope)
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putRight(points.x[i + 1], polynomial)
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putRight(points.x[i + 1], polynomial)
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}
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}
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@ -1,5 +1,6 @@
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package scientifik.kmath.interpolation
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package scientifik.kmath.interpolation
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import scientifik.kmath.functions.PiecewisePolynomial
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import scientifik.kmath.functions.asFunction
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import scientifik.kmath.functions.asFunction
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import scientifik.kmath.operations.RealField
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import scientifik.kmath.operations.RealField
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import kotlin.test.Test
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import kotlin.test.Test
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@ -15,7 +16,7 @@ class LinearInterpolatorTest {
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2.0 to 3.0,
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2.0 to 3.0,
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3.0 to 4.0
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3.0 to 4.0
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)
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)
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val polynomial = LinearInterpolator(RealField).interpolatePolynomials(data)
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val polynomial: PiecewisePolynomial<Double> = LinearInterpolator(RealField).interpolatePolynomials(data)
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val function = polynomial.asFunction(RealField)
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val function = polynomial.asFunction(RealField)
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assertEquals(null, function(-1.0))
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assertEquals(null, function(-1.0))
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