RicherMans

import argparse
import os
import re
import csv
import subprocess

#===============================================================================
# This script trains the World, the Totalvariability matrix and extracts the Ivector
# Make sure to have a folder called "cfg" in your directory, which consists of the config files

RicherMans

import java.io.DataInput;
import java.io.DataOutput;
import java.io.IOException;
import java.util.ArrayList;
import java.util.List;

import org.apache.hadoop.io.LongWritable;
import org.apache.hadoop.io.Text;
import org.apache.hadoop.io.Writable;

RicherMans

import java.io.IOException;
import java.util.ArrayDeque;
import java.util.Deque;
import java.util.List;
import java.util.regex.Matcher;
import java.util.regex.Pattern;

import javax.xml.parsers.ParserConfigurationException;
import javax.xml.parsers.SAXParser;
import javax.xml.parsers.SAXParserFactory;

RicherMans

import java.io.DataInput;
import java.io.DataOutput;
import java.io.IOException;
import java.util.ArrayList;
import java.util.List;

import org.apache.hadoop.io.LongWritable;
import org.apache.hadoop.io.Text;
import org.apache.hadoop.io.Writable;

RicherMans

import java.io.IOException;
import java.util.ArrayList;
import java.util.HashMap;
import java.util.Iterator;
import java.util.List;
import java.util.Map.Entry;
import java.util.StringTokenizer;
import java.util.regex.Matcher;
import java.util.regex.Pattern;

RicherMans

/*************************************************************************
	 * createCheckConstraint
	 * 
	 * @see amos.share.dbmsSpecific.AbstractDatabaseAdministrator#createCheckConstraint(java.util.List, java.lang.String)
	 ************************************************************************/
	@Override
	public void createCheckConstraint(List<IColumn> pkCols, String pkName) {
		String tableName = pkCols.get(0).getTable().getName();

		if (checkListValues.contains(tableName)) {

RicherMans

# ----------
# User Instructions:
# 
# Create a function compute_value() which returns
# a grid of values. Value is defined as the minimum
# number of moves required to get from a cell to the
# goal. 
#
# If it is impossible to reach the goal from a cell
# you should assign that cell a value of 99.