Greg Helton greghelton

Prerequistes
(Apache Ant and Apache Ivy can be installed with homebrew but doing so may download a JDK that you don't want.)
I downloaded Apache Ant to ~/dev/bin/ which is common to all projects
and I downloaded Ivy and placed its jar in ~/dev/bin/apache-ant-1.10.18/lib

Why use Apache Ivy? Ivy is a depedency manager for ANT. It simplifies dependency management by downloading the jar files specified in ivy.xml and the jar files those jar files require in order to run.

Examples of the commands this build file supports are:

Run the REPL

This gist relies on the ANT and Clojure setup shown in the previous gist.

Run the program

ant run -Dfile=./import-csv-to-derby.clj -Ddb.dir=./database/people

I wanted a simple way to run Clojure's REPL (Clojure is LISP on the JVM and REPL means Read–Eval–Print Loop) and to run Clojure code files. I started using ANT almost as long ago as when I began programming Java in 1999. I have always found ANT to be the simple way to perform most tasks in the Java environment so ANT is again my choice. In this ANT project, all dependencies are downloaded to a folder within the project and everything works very simply without having to use leinengen or clojure tools.

Here is an ANT build that downloads the clojure jar and other dependencies from the Maven repo to the project's lib folder. The ANT build.xml file includes a repl task to start the clojure REPL and a run task to run a given clojure file.

I downloaded ANT from ant.apache.org and installed it in a tools folder under my user folder. Homebrew will install ANT but it has a hard dependency on a version of Java I don't care to use.

This project's ANT commands:

ant resolve // downloads dependencies

TODO

	import java.sql.Connection
	import java.sql.DriverManager
	import java.sql.CallableStatement
	import java.sql.PreparedStatement
	import java.sql.ResultSet
	import java.sql.Types

	if (args.length < 2) {
	println "Usage: groovy main.groovy SCHEMA ROUTINE_NAME"
	System.exit(1)

	**FREE
	Ctl-Opt NoMain Option(SrcStmt:NoDebugIo);

	// -----------------------------------------------------------------
	// Subprocedure: CalculateInterest
	// Computes simple interest: (Principal * Rate * Years)
	// -----------------------------------------------------------------
	Dcl-Proc CalculateInterest Export;
	Dcl-Pi CalculateInterest Packed(15:2);
	pPrincipal Packed(15:2) Const;

	package org.vanillaweb;

	import java.io.*;
	import java.net.ServerSocket;
	import java.net.Socket;
	import java.net.URLDecoder;
	import java.nio.charset.StandardCharsets;
	import java.util.concurrent.*;

	public class FullDuplexRelay {

	import java.io.*;
	import java.net.ServerSocket;
	import java.net.Socket;
	import java.net.URLDecoder;
	import java.nio.charset.StandardCharsets;
	import java.util.concurrent.ArrayBlockingQueue;
	import java.util.concurrent.BlockingQueue;

	public class BrowserRelay {

	import com.ibm.as400.access.AS400
	import com.ibm.as400.access.DataQueue
	import com.ibm.as400.access.DataQueueEntry
	import com.ibm.as400.access.KeyedDataQueue
	import java.nio.charset.Charset

	fun main() {

	// Connect to IBM i
	val system = AS400(

	/// Selects the best legal move for the current player using a trained NeuralNetwork.
	public enum AIPlayer {

	/// Returns the move that maximises P(currentPlayer wins) according to the network.
	public static func bestMove(for state: GameState, network: NeuralNetwork) -> Move {
	let moves = uniqueByResult(MoveGenerator.legalMoves(for: state), from: state)
	let player = state.currentPlayer
	return moves.max { a, b in
	score(move: a, state: state, network: network, player: player)
	< score(move: b, state: state, network: network, player: player)