diff --git a/kmath-tensors/src/jvmMain/kotlin/tensorPrettyPrinter.kt b/kmath-tensors/src/jvmMain/kotlin/tensorPrettyPrinter.kt deleted file mode 100644 index d3ce5933e..000000000 --- a/kmath-tensors/src/jvmMain/kotlin/tensorPrettyPrinter.kt +++ /dev/null @@ -1,64 +0,0 @@ - -import space.kscience.kmath.tensors.core.DoubleTensor -import space.kscience.kmath.tensors.core.vectorSequence -import java.lang.StringBuilder -/* -internal fun format(value: Double, digits: Int = 4): String { - val res = "%.${digits}e".format(value).replace(',', '.') - if (value < 0.0) { - return res - } - return StringBuilder().append(" ").append(res).toString() -} - -public fun DoubleTensor.toPrettyString(): String { - val builder = StringBuilder() - with(builder) { - var offset = 0 - val shape = this@toPrettyString.shape - val linearStructure = this@toPrettyString.linearStructure - var vectorSize = shape.last() - val initString = "DoubleTensor(\n" - append(initString) - var charOffset = 3 - for (vector in vectorSequence()) { - append(" ".repeat(charOffset)) - val index = linearStructure.index(offset) - for (ind in index.reversed()) { - if (ind != 0) { - break - } - append("[") - charOffset += 1 - } - // todo refactor - val values = mutableListOf() - for (i in 0 until vectorSize) { - values.add(vector[intArrayOf(i)]) - } - append(values.map { format(it) }.joinToString(", ")) - append("]") - charOffset -= 1 - for (i in shape.size - 2 downTo 0){ - val ind = index[i] - val maxInd = shape[i] - if (ind != maxInd - 1) { - break - } - append("]") - charOffset -=1 - } - offset += vectorSize - // todo refactor - if (this@toPrettyString.numel == offset) { - break - } - append(",\n") - } - append("\n)") - } - return builder.toString() -} -*/ - -