package com.thealgorithms.compression;
import java.math.BigDecimal;
import java.math.MathContext;
import java.util.ArrayList;
import java.util.Collections;
import java.util.HashMap;
import java.util.List;
import java.util.Map;
/**
* An implementation of the Arithmetic Coding algorithm.
*
*
* Arithmetic coding is a form of entropy encoding used in lossless data
* compression. It encodes an entire message into a single number, a fraction n
* where (0.0 <= n < 1.0). Unlike Huffman coding, which assigns a specific
* bit sequence to each symbol, arithmetic coding represents the message as a
* sub-interval of the [0, 1) interval.
*
*
*
* This implementation uses BigDecimal for precision to handle the shrinking
* intervals, making it suitable for educational purposes to demonstrate the
* core logic.
*
*
*
* Time Complexity: O(n*m) for compression and decompression where n is the
* length of the input and m is the number of unique symbols, due to the need
* to calculate symbol probabilities.
*
*
*
* References:
*
*
*/
public final class ArithmeticCoding {
private ArithmeticCoding() {
}
/**
* Compresses a string using the Arithmetic Coding algorithm.
*
* @param uncompressed The string to be compressed.
* @return The compressed representation as a BigDecimal number.
* @throws IllegalArgumentException if the input string is null or empty.
*/
public static BigDecimal compress(String uncompressed) {
if (uncompressed == null || uncompressed.isEmpty()) {
throw new IllegalArgumentException("Input string cannot be null or empty.");
}
Map probabilityTable = calculateProbabilities(uncompressed);
BigDecimal low = BigDecimal.ZERO;
BigDecimal high = BigDecimal.ONE;
for (char symbol : uncompressed.toCharArray()) {
BigDecimal range = high.subtract(low);
Symbol sym = probabilityTable.get(symbol);
high = low.add(range.multiply(sym.high()));
low = low.add(range.multiply(sym.low()));
}
return low; // Return the lower bound of the final interval
}
/**
* Decompresses a BigDecimal number back into the original string.
*
* @param compressed The compressed BigDecimal number.
* @param length The length of the original uncompressed string.
* @param probabilityTable The probability table used during compression.
* @return The original, uncompressed string.
*/
public static String decompress(BigDecimal compressed, int length, Map probabilityTable) {
StringBuilder decompressed = new StringBuilder();
// Create a sorted list of symbols for deterministic decompression, matching the
// order used in calculateProbabilities
List> sortedSymbols = new ArrayList<>(probabilityTable.entrySet());
sortedSymbols.sort(Map.Entry.comparingByKey());
BigDecimal low = BigDecimal.ZERO;
BigDecimal high = BigDecimal.ONE;
for (int i = 0; i < length; i++) {
BigDecimal range = high.subtract(low);
// Find which symbol the compressed value falls into
for (Map.Entry entry : sortedSymbols) {
Symbol sym = entry.getValue();
// Calculate the actual range for this symbol in the current interval
BigDecimal symLow = low.add(range.multiply(sym.low()));
BigDecimal symHigh = low.add(range.multiply(sym.high()));
// Check if the compressed value falls within this symbol's range
if (compressed.compareTo(symLow) >= 0 && compressed.compareTo(symHigh) < 0) {
decompressed.append(entry.getKey());
// Update the interval for the next iteration
low = symLow;
high = symHigh;
break;
}
}
}
return decompressed.toString();
}
/**
* Calculates the frequency and probability range for each character in the
* input string in a deterministic order.
*
* @param text The input string.
* @return A map from each character to a Symbol object containing its
* probability range.
*/
public static Map calculateProbabilities(String text) {
Map frequencies = new HashMap<>();
for (char c : text.toCharArray()) {
frequencies.put(c, frequencies.getOrDefault(c, 0) + 1);
}
// Sort the characters to ensure a deterministic order for the probability table
List sortedKeys = new ArrayList<>(frequencies.keySet());
Collections.sort(sortedKeys);
Map probabilityTable = new HashMap<>();
BigDecimal currentLow = BigDecimal.ZERO;
int total = text.length();
for (char symbol : sortedKeys) {
BigDecimal probability = BigDecimal.valueOf(frequencies.get(symbol)).divide(BigDecimal.valueOf(total), MathContext.DECIMAL128);
BigDecimal high = currentLow.add(probability);
probabilityTable.put(symbol, new Symbol(currentLow, high));
currentLow = high;
}
return probabilityTable;
}
/**
* Helper class to store the probability range [low, high) for a symbol.
*/
public record Symbol(BigDecimal low, BigDecimal high) {
}
}