RosettaCodeData/Task/Biorhythms/Kotlin/biorhythms.kts
2024-10-16 18:07:41 -07:00

64 lines
2.2 KiB
Kotlin

import java.time.LocalDate
import java.time.format.DateTimeFormatter
import java.time.temporal.ChronoUnit
import kotlin.math.roundToInt
import kotlin.math.sin
fun main() {
val datePairs = listOf(
listOf("1943-03-09", "1972-07-11"),
listOf("1809-01-12", "1863-11-19"),
listOf("1809-02-12", "1863-11-19")
)
for (datePair in datePairs) {
calculateBiorhythms(datePair)
}
}
fun calculateBiorhythms(datePair: List<String>) {
val formatter = DateTimeFormatter.ISO_LOCAL_DATE
val birthDate = LocalDate.parse(datePair[0], formatter)
val targetDate = LocalDate.parse(datePair[1], formatter)
val daysBetween = ChronoUnit.DAYS.between(birthDate, targetDate).toInt()
println("Birth date $birthDate, Target date $targetDate")
println("Days between: $daysBetween")
for (cycle in Cycle.values()) {
val cycleLength = cycle.getLength()
val positionInCycle = daysBetween % cycleLength
val quadrantIndex = 4 * positionInCycle / cycleLength
val percentage = (100 * sin(2 * Math.PI * positionInCycle / cycleLength)).roundToInt()
val description = when {
percentage > 95 -> "peak"
percentage < -95 -> "valley"
Math.abs(percentage) < 5 -> "critical transition"
else -> {
val daysToTransition = (cycleLength * (quadrantIndex + 1) / 4) - positionInCycle
val transitionDate = targetDate.plusDays(daysToTransition.toLong())
val (trend, nextTransition) = cycle.descriptions(quadrantIndex)
"$percentage% ($trend, next $nextTransition $transitionDate)"
}
}
println("${cycle.name} day $positionInCycle: $description")
}
println()
}
enum class Cycle(private val length: Int) {
PHYSICAL(23), EMOTIONAL(28), MENTAL(33);
fun getLength() = length
fun descriptions(index: Int): Pair<String, String> {
val descriptions = listOf(
listOf("up and rising", "peak"),
listOf("up but falling", "transition"),
listOf("down and falling", "valley"),
listOf("down but rising", "transition")
)
return descriptions[index][0] to descriptions[index][1]
}
}