/**
 * Copyright (c) 2008, SnakeYAML
 *
 * Licensed under the Apache License, Version 2.0 (the "License");
 * you may not use this file except in compliance with the License.
 * You may obtain a copy of the License at
 *
 *     http://www.apache.org/licenses/LICENSE-2.0
 *
 * Unless required by applicable law or agreed to in writing, software
 * distributed under the License is distributed on an "AS IS" BASIS,
 * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
 * See the License for the specific language governing permissions and
 * limitations under the License.
 */
package org.yaml.snakeyaml;

import java.io.BufferedInputStream;
import java.io.IOException;
import java.io.InputStream;
import java.util.Arrays;
import java.util.HashSet;
import java.util.Set;

public class Util {

    public static String getLocalResource(String theName) {
        try {
            InputStream input;
            input = YamlDocument.class.getClassLoader().getResourceAsStream(theName);
            if (input == null) {
                throw new RuntimeException("Can not find " + theName);
            }
            BufferedInputStream is = new BufferedInputStream(input);
            StringBuilder buf = new StringBuilder(3000);
            int i;
            try {
                while ((i = is.read()) != -1) {
                    buf.append((char) i);
                }
            } finally {
                is.close();
            }
            String resource = buf.toString();
            // convert EOLs
            String[] lines = resource.split("\\r?\\n");
            StringBuilder buffer = new StringBuilder();
            for (int j = 0; j < lines.length; j++) {
                buffer.append(lines[j]);
                buffer.append("\n");
            }
            return buffer.toString();
        } catch (IOException e) {
            throw new RuntimeException(e);
        }
    }

    public static boolean compareAllLines(String text1, String text2) {
        Set<String> split1 = new HashSet<String>(Arrays.asList(text1.trim().split("\n")));
        Set<String> split2 = new HashSet<String>(Arrays.asList(text2.trim().split("\n")));
        return split1.containsAll(split2) && split2.containsAll(split1);
    }
}
