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/******************************************************************************
 *  Compilation:  javac BinaryDump.java
 *  Execution:    java BinaryDump n < file
 *  Dependencies: BinaryStdIn.java
 *  Data file:    https://introcs.cs.princeton.edu/stdlib/abra.txt
 *  
 *  Reads in a binary file and writes out the bits, n per line.
 *
 *  % more abra.txt 
 *  ABRACADABRA!
 *
 *  % java BinaryDump 16 < abra.txt
 *  0100000101000010
 *  0101001001000001
 *  0100001101000001
 *  0100010001000001
 *  0100001001010010
 *  0100000100100001
 *  96 bits
 *
 ******************************************************************************/

package edu.princeton.cs.algs4;

/**
 *  The {@code BinaryDump} class provides a client for displaying the contents
 *  of a binary file in binary.
 *  

* For more full-featured versions, see the Unix utilities * {@code od} (octal dump) and {@code hexdump} (hexadecimal dump). *

* For additional documentation, * see Section 5.5 of * Algorithms, 4th Edition by Robert Sedgewick and Kevin Wayne. *

* See also {@link HexDump} and {@link PictureDump}. * * @author Robert Sedgewick * @author Kevin Wayne */ public class BinaryDump { // Do not instantiate. private BinaryDump() { } /** * Reads in a sequence of bytes from standard input and writes * them to standard output in binary, k bits per line, * where k is given as a command-line integer (defaults * to 16 if no integer is specified); also writes the number * of bits. * * @param args the command-line arguments */ public static void main(String[] args) { int bitsPerLine = 16; if (args.length == 1) { bitsPerLine = Integer.parseInt(args[0]); } int count; for (count = 0; !BinaryStdIn.isEmpty(); count++) { if (bitsPerLine == 0) { BinaryStdIn.readBoolean(); continue; } else if (count != 0 && count % bitsPerLine == 0) StdOut.println(); if (BinaryStdIn.readBoolean()) StdOut.print(1); else StdOut.print(0); } if (bitsPerLine != 0) StdOut.println(); StdOut.println(count + " bits"); } } /****************************************************************************** * Copyright 2002-2018, Robert Sedgewick and Kevin Wayne. * * This file is part of algs4.jar, which accompanies the textbook * * Algorithms, 4th edition by Robert Sedgewick and Kevin Wayne, * Addison-Wesley Professional, 2011, ISBN 0-321-57351-X. * http://algs4.cs.princeton.edu * * * algs4.jar is free software: you can redistribute it and/or modify * it under the terms of the GNU General Public License as published by * the Free Software Foundation, either version 3 of the License, or * (at your option) any later version. * * algs4.jar is distributed in the hope that it will be useful, * but WITHOUT ANY WARRANTY; without even the implied warranty of * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the * GNU General Public License for more details. * * You should have received a copy of the GNU General Public License * along with algs4.jar. If not, see http://www.gnu.org/licenses. ******************************************************************************/





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