thomasnield

thomasnield

from random import randint


def random_door():
    return randint(1, 3)


trial_count = 10000

stay_wins = 0

thomasnield

import javafx.application.Application
import javafx.beans.property.SimpleStringProperty
import javafx.collections.FXCollections
import javafx.collections.ObservableList
import javafx.scene.control.TextField
import tornadofx.*
import java.time.LocalDate
import java.time.format.DateTimeFormatter

thomasnield

import org.apache.commons.math3.distribution.NormalDistribution
import org.nield.kotlinstatistics.randomFirst
import kotlin.math.exp
import kotlin.math.ln


// See graph
// https://www.desmos.com/calculator/6cb10atg3l
  
// Helpful Resources:

thomasnield

import org.apache.commons.math3.distribution.NormalDistribution
import kotlin.math.pow

// Desmos graph: https://www.desmos.com/calculator/pb4ewmqdvy

val points = sequenceOf(
		1.4,1.3,
		3.1,2.3,
		3.6,2.4,
		1.7,1.5,

thomasnield

import org.ojalgo.random.Normal
import scientifik.kmath.linear.MatrixContext
import scientifik.kmath.linear.VirtualMatrix
import scientifik.kmath.structures.Matrix
import java.net.URL
import kotlin.math.pow

fun main() {

    val points = URL("https://tinyurl.com/y58sesrr")

thomasnield

import java.util.concurrent.ThreadLocalRandom
import kotlin.math.exp
import kotlin.math.ln
import kotlin.math.pow


fun main() {

    val observations = doubleArrayOf(
            1.0,

thomasnield

fun main() {

    val testCode = """
        x = 3 
        print(x)
    """

    val program = compile(testCode)

thomasnield

import plotly.express as px
iris = px.data.iris()
fig = px.scatter_3d(iris, x='sepal_length', y='sepal_width', z='petal_width',
                    color='petal_length', symbol='species')
fig.show()

thomasnield

from typing import List


class Point:
    def __init__(self, x: int, y: bool):
        self.x = x
        self.y = y


points: List[Point] = [