KMP library for tensors #300
@ -71,8 +71,8 @@ internal inline fun format(value: Double, digits: Int = 4): String {
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val lead = value / ten.pow(order)
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val lead = value / ten.pow(order)
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val leadDisplay = round(lead*ten.pow(digits)) / ten.pow(digits)
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val leadDisplay = round(lead*ten.pow(digits)) / ten.pow(digits)
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val orderDisplay = if(order >= 0) "+$order" else "$order"
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val orderDisplay = if(order == 0) "" else if(order > 0) "E+$order" else "E$order"
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val valueDisplay = "${leadDisplay}E$orderDisplay"
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val valueDisplay = "${leadDisplay}$orderDisplay"
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val res = if(value < 0.0) valueDisplay else " $valueDisplay"
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val res = if(value < 0.0) valueDisplay else " $valueDisplay"
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val fLength = digits + 6
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val fLength = digits + 6
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val endSpace = " ".repeat(fLength - res.length)
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val endSpace = " ".repeat(fLength - res.length)
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@ -83,7 +83,7 @@ internal inline fun DoubleTensor.toPrettyString(): String = buildString {
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var offset = 0
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var offset = 0
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val shape = this@toPrettyString.shape
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val shape = this@toPrettyString.shape
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val linearStructure = this@toPrettyString.linearStructure
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val linearStructure = this@toPrettyString.linearStructure
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var vectorSize = shape.last()
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val vectorSize = shape.last()
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val initString = "DoubleTensor(\n"
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val initString = "DoubleTensor(\n"
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append(initString)
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append(initString)
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var charOffset = 3
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var charOffset = 3
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@ -46,4 +46,10 @@ class TestDoubleTensor {
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assertEquals(secondRow[1], secondColumn[1])
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assertEquals(secondRow[1], secondColumn[1])
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}
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}
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}
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}
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@Test
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fun toStringTest() = DoubleTensorAlgebra {
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val tensor = randNormal(intArrayOf(2,3))
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println(tensor)
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}
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}
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}
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