Antal Monori anthonymonori

anthonymonori / captureFingerprints.gradle.kts

Last active December 21, 2022 16:26 — forked from ghale/captureFingerprints.gradle

Capture task classpath fingerprints with Gradle Kotlin DSL

	// Add into root project, make sure you have Gradle Enterprise plugin
	val buildScanApi = project.extensions.findByName("buildScan") as BuildScanExtension
	subprojects {
	// If you want to limit it to certain module(s), wrap it with: if (name == "module-name") { }
	val fingerprinter = serviceOf<org.gradle.internal.fingerprint.classpath.ClasspathFingerprinter>()
	tasks.withType(org.jetbrains.kotlin.gradle.dsl.KotlinCompile::class.java).configureEach task@{
	doFirst {
	var classLoader: ClassLoader = [email protected]
	while (classLoader is java.net.URLClassLoader) {
	val fingerprints = mutableSetOf<Array<String>>()

anthonymonori / mockk-suspend-operator-overload-issue.md

Created June 4, 2021 14:12

Example workaround for suspend operator overloading in Kotlin when using MockK testing library

Let's consider the following code:

class UseCase() {
    suspend operator fun invoke(param1: String) = Unit
}

anthonymonori / time-and-space-complexity.txt

Created October 4, 2015 10:34

Big Oh notation and everything you need to know about it - perfect for tech interview preparation!

	Common Running Time

	There are some common running times when analyzing an algorithm:

	O(1) – Constant Time Constant time means the running time is constant, it’s not affected by the input size.

	O(n) – Linear Time When an algorithm accepts n input size, it would perform n operations as well.

	O(log n) – Logarithmic Time Algorithm that has running time O(log n) is slight faster than O(n). Commonly, algorithm divides the problem into sub problems with the same size. Example: binary search algorithm, binary conversion algorithm.