mtavkhelidze

FROM alpine:3.10

ARG SPARK_VERSION=3.0.0-preview
ARG HADOOP_VERSION_SHORT=3.2
ARG HADOOP_VERSION=3.2.0
ARG AWS_SDK_VERSION=1.11.375

RUN apk add --no-cache bash openjdk8-jre python3

# Download and extract Spark

mtavkhelidze

import $ivy.`dev.zio::zio:1.0.0-RC8-12`
import $ivy.`dev.zio::zio-streams:1.0.0-RC8-12`

import zio._, zio.stream._

object Step1 {
  import java.nio.file.{Files, Paths, Path}
  import scala.collection.JavaConverters._
  import zio.blocking._

mtavkhelidze

Alamofire.request(urlString).responseJSON { response in
    guard case let .failure(error) = response.result else { return }

    if let error = error as? AFError {
        switch error {
        case .invalidURL(let url):
            print("Invalid URL: \(url) - \(error.localizedDescription)")
        case .parameterEncodingFailed(let reason):
            print("Parameter encoding failed: \(error.localizedDescription)")
            print("Failure Reason: \(reason)")

mtavkhelidze

interface Functor<T> {
  map<U>(f: (x: T) => U): Functor<U>
}

class Box<T> implements Functor<T> {
  value: T
  constructor(x: T) {
    this.value = x
  }
  map<U>(f: (x: T) => U): Box<U> {

mtavkhelidze

#!/usr/bin/env bash

# Remove Android Studio from your macOs

dry_run=true

while getopts "f" opt; do
    case $opt in
        f)
            dry_run=false

mtavkhelidze

#import <dlfcn.h>

static off_t lookupPrivateSymbol(const char *path, const char *symbol)
{
    // TODO: Parse the Mach-O file
    NSTask *task = [[NSTask alloc] init];
    task.launchPath = @"/usr/bin/nm";
    task.arguments = @[@"-a", @(path)];
    NSPipe *outputPipe = [NSPipe pipe];
    task.standardOutput = outputPipe;