Clifford James omnisis

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- SML/README.md
- SML/SML.JSON-tmLanguage
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SublimeREPL/config/SML
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  [{

	package ehcache.examples;


	import java.io.*;

	public class MySqlCLI {
	private String mysqlBinaryPath = "/usr/local/bin/mysql";

	public String getMysqlBinaryPath() {
	return mysqlBinaryPath;

	package examples.database;

	import com.google.common.collect.Lists;
	import examples.database.dao.PeopleDAO;
	import examples.database.model.PeopleInfo;
	import org.apache.commons.lang.time.StopWatch;
	import org.apache.commons.logging.Log;
	import org.apache.commons.logging.LogFactory;
	import org.junit.Test;
	import org.junit.runner.RunWith;


	(* helper functions *)
	exception AssertionFailure;
	fun println(msg) = print(msg ^ "\n");
	fun printStatusWithWidth(label, msg, width) = println("\t- " ^ (StringCvt.padRight #" " width msg) ^ label);
	fun printStatus(label, msg) = printStatusWithWidth(label,msg,80)

	fun msg_pass(msg) = printStatus("[ PASS ]", msg);
	fun msg_fail(msg) = printStatus("[ FAIL ]", msg);

	#!/usr/bin/python

	#############################################################################
	# This script finds the "leftover records" between files containing arbitrary
	# linesplits of a very large sorted CSV file. These types of files would exist
	# if for example, one ran the UNIX 'split' program (breaking on line boundaries)
	# on a large sorted CSV file to break it into smaller sorted CSV files but did
	# not bother to ensure that no logical records (assumming records can span text lines)
	# were split across files. Generally, it's impossible for a generic utility
	# like 'split' to make such application-specific decisions at the time the

	#!/bin/bash
	#####################################################################
	# Script to ensure that a cmd does not have parallel executions.
	#####################################################################

	unset LOCKFILE

	while getopts l: flag; do
	case $flag in
	l)

	package examples.mapred.partitioning;

	import org.apache.commons.lang.time.DateUtils;
	import org.apache.hadoop.io.Text;
	import org.apache.hadoop.mapreduce.Partitioner;

	import java.util.Calendar;
	import java.util.TimeZone;

	public class PartitionFunctionSnippet {

	/**
	* Write key and value to baseOutputPath using the namedOutput.
	*
	* @param namedOutput the named output name
	* @param key the key
	* @param value the value
	* @param baseOutputPath base-output path to write the record to.
	* Note: Framework will generate unique filename for the baseOutputPath
	*/
	@SuppressWarnings("unchecked")