DoubleBuffer generator was moved to DoubleBuffer file and factory fun… #485
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…ctions were added for LongArray
altavir
requested changes
May 15, 2022
| package space.kscience.kmath.structures | ||
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| import kotlin.jvm.JvmInline | ||
| import kotlin.random.Random.Default.nextDouble |
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The default generator should never be used outside of tests
| /** | ||
| * A chunk of doubles of given [size]. | ||
| */ | ||
| public fun nextDoubleBuffer(size: Int): DoubleBuffer = DoubleBuffer(size) { nextDouble() } |
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Are there any reasons to add this to the core?
| @Test | ||
| fun rebinDown() = runTest { | ||
| val h1 = Histogram.uniform1D(DoubleField, 0.01).produce(generator.nextDoubleBuffer(10000)) | ||
| val h1 = Histogram.uniform1D(DoubleField, 0.01).produce(nextDoubleBuffer(10000)) |
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| internal fun LongArray.toIntArray(): IntArray = IntArray(size) { this[it].toIntExact() } | ||
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| internal fun LongArray.linspace(start: Long, stop: Long) = Array(this.size) { |
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We try not to use Arrays in mathematics because they have some default overrides in Kotling StdLib. You should use Buffer and there are already BufferAlgebra.zero producers for that. There is a DoubleBuffer producer that uses step, we can add a similar one for Longs, but we need to be careful about naming.
| override fun nextBufferBlocking(size: Int): DoubleBuffer { | ||
| val xs = generator.nextDoubleBuffer(size) | ||
| val ys = generator.nextDoubleBuffer(size) | ||
| val xs = nextDoubleBuffer(size) |
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This is a mistake. You are using the default generator instead of provided one. It will give wrong results.
…d into separate interface from LinearAlgebra
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…ctions were added for LongArray