import java.io.ByteArrayInputStream;
import java.io.IOException;
import java.nio.ByteBuffer;
import java.nio.charset.StandardCharsets;
import java.util.*;
import java.util.function.BiFunction;
import java.util.stream.Collectors;
import java.util.zip.GZIPInputStream;
public class WeatherBundled {
public static void main(String[] args) {
WeatherRecord[] sampleRecords = readSampleData();
Scanner input = new Scanner(System.in);
int n = Integer.parseInt(input.nextLine());
for (; n > 0; n--) {
float[] measurements = WeatherRecord.readMeasurementsFromString(input.nextLine());
if (measurements == null) {
// I don't even want to guess if it's outside the training data.
System.out.println(" ?".repeat(12).substring(1));
} else {
WeatherRecord record = new WeatherRecord(measurements);
Float[] forecast = generateForecast(sampleRecords, record);
System.out.println(Arrays.stream(forecast).map((value) -> value == null ? "?" : String.valueOf(value.floatValue())).collect(Collectors.joining(" ")));
}
}
}
private static WeatherRecord[] readSampleData() {
// This data originates from the sample data but has been preprocessed, filtered and compressed already to fit in this code file.
// Note: This is actually everything that was filtered away from the usual dataset.
String in = new StringBuilder()
.append("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")
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")
.toString();
List<WeatherRecord> weatherRecords = new ArrayList<>();
// Read and decompress data
ByteBuffer byteBuffer;
try {
GZIPInputStream gzipInput = new GZIPInputStream(new ByteArrayInputStream(Base64.getDecoder().decode(in.getBytes(StandardCharsets.UTF_8))));
byteBuffer = ByteBuffer.wrap(gzipInput.readAllBytes());
} catch (IOException e) {
throw new RuntimeException(e);
}
// Read data
while (byteBuffer.hasRemaining()) {
float minTemperature = (float) byteBuffer.getShort() / 10F;
float maxTemperature = (float) byteBuffer.getShort() / 10F;
float stdev = (float) byteBuffer.getShort() / 3000F;
float temperatureHash = (float) ((int) byteBuffer.getShort() | (int) byteBuffer.get() << 15) / 10F;
float[] measurements = new float[36];
measurements[23] = (float) byteBuffer.getShort() / 10F;
float lastTemperature = measurements[23];
for (int i = 24; i < measurements.length; i++) {
float temperatureDelta = (float) byteBuffer.get() / 10F;
measurements[i] = (lastTemperature += temperatureDelta);
}
weatherRecords.add(new WeatherRecord(measurements, new WeatherStatistics(minTemperature, maxTemperature, stdev, temperatureHash)));
}
return weatherRecords.toArray(new WeatherRecord[0]);
}
private static Float[] generateForecast(WeatherRecord[] sampleRecords, WeatherRecord record) {
Map<Float, WeatherRecord> weightedRecords = weighRecords(sampleRecords, record.statistics);
BiFunction<Integer, Float, Float> predict = (hour, offset) -> {
float temperature = offset;
boolean uncertain = false;
// Weighted average of suitable records
for (Map.Entry<Float, WeatherRecord> entry : weightedRecords.entrySet()) {
temperature += entry.getValue().measurements[hour] * entry.getKey();
}
// Estimate reliability by calculating (standard-ish) deviation.
double deviationSquaredAbsolute = 0F;
for (Map.Entry<Float, WeatherRecord> entry : weightedRecords.entrySet()) {
deviationSquaredAbsolute += (double)entry.getKey() * Math.pow(entry.getValue().measurements[hour] - temperature, 2);
}
double deviation = Math.sqrt(deviationSquaredAbsolute / (double) weightedRecords.size());
if (deviation > 0.3F) {
uncertain = true;
}
return uncertain ? null : temperature;
};
Float[] forecast = new Float[12];
Float initialPrediction = predict.apply(23, 0F);
if (initialPrediction != null) {
float offset = record.measurements[23] - initialPrediction;
for (int hour = 24; hour < 36; hour++) {
forecast[hour - 24] = predict.apply(hour, offset);
}
}
return forecast;
}
/**
* Weighs the given sample records in accordance with their suitability to forecast for a given target.
* @return A sorted map with weight percentage as key and record as value. Pairs with suitability below a threshold will not appear.
*/
private static Map<Float, WeatherRecord> weighRecords(WeatherRecord[] sampleRecords, WeatherStatistics target) {
SortedMap<Float, WeatherRecord> suitabilityMap = new TreeMap<>(Comparator.reverseOrder());
float totalSuitability = 0F;
float totalWeight = 0F;
double totalSuitabilitiesSquared = 0F;
for (WeatherRecord sampleRecord : sampleRecords) {
float unsuitability = sampleRecord.statistics.calculateUnsuitability(target);
if (unsuitability < 6000F) {
float suitability = 10000F / unsuitability;
totalSuitability += suitability;
totalSuitabilitiesSquared += Math.pow(suitability, 2);
suitabilityMap.put(suitability, sampleRecord);
}
}
Map<Float, WeatherRecord> weightMap = new LinkedHashMap<>();
double multiplier = Math.abs(totalSuitability) / Math.sqrt(totalSuitabilitiesSquared);
for (Map.Entry<Float, WeatherRecord> entry : suitabilityMap.entrySet()) {
double linearWeight = (double)entry.getKey() / (double)totalSuitability;
if (Double.isNaN(linearWeight)) continue;
float scaledWeight = (float)Math.pow(linearWeight * multiplier, 2);
totalWeight += scaledWeight;
weightMap.put(scaledWeight, entry.getValue());
}
assert totalWeight >= 0.99F && totalWeight <= 0.99F;
return weightMap;
}
public static class WeatherRecord {
public float[] measurements;
public WeatherStatistics statistics;
public WeatherRecord(float[] measurements, WeatherStatistics statistics) {
this.measurements = measurements;
this.statistics = statistics;
}
public WeatherRecord(float[] measurements) {
this(measurements, new WeatherStatistics(measurements));
}
/**
* @return An array of floats (objects, may be null). Returns null if an element exceeds the bounds of normal temperatures.
*/
public static float[] readMeasurementsFromString(String inputString) {
String[] input = inputString.trim().split(" ");
float[] parsed = new float[input.length];
for (int i = 0; i < input.length; i++) {
float value = Float.parseFloat(input[i]);
if (value < -38F || value > 34F) {
return null;
}
parsed[i] = value;
}
return parsed;
}
}
public static class WeatherStatistics {
public float minTemperature;
public float maxTemperature;
public float stdev;
public float temperatureHash;
public WeatherStatistics(float minTemperature, float maxTemperature, float stdev, float temperatureHash) {
this.minTemperature = minTemperature;
this.maxTemperature = maxTemperature;
this.stdev = stdev;
this.temperatureHash = temperatureHash;
}
/***
* Generates the stats for the first 24 measurements of the given array.
*/
public WeatherStatistics(float[] measurements) {
assert measurements.length >= 24;
// Stats are calculated for the first 24 measurement values
float[] beginning = Arrays.copyOf(measurements, 24);
this.minTemperature = calculateMinTemperature(beginning);
this.maxTemperature = calculateMaxTemperature(beginning);
this.stdev = calculateStdev(beginning);
this.temperatureHash = calculateTemperatureHash(beginning);
}
public float calculateUnsuitability(WeatherStatistics target) {
return Math.abs(this.temperatureHash - target.temperatureHash) +
Math.abs(this.stdev - target.stdev) * 3000F +
Math.abs(this.minTemperature - target.minTemperature) * 400F +
Math.abs(this.maxTemperature - target.maxTemperature) * 400F;
}
private static float calculateMinTemperature(float[] measurements) {
return calculateMinMaxTemperature(true, measurements);
}
private static float calculateMaxTemperature(float[] measurements) {
return calculateMinMaxTemperature(false, measurements);
}
private static float calculateMinMaxTemperature(boolean min, float[] measurements) {
float best = measurements[0];
for (float measurement : measurements) {
if (min ? measurement < best : measurement > best) {
best = measurement;
}
}
return best;
}
private static float calculateAverage(float[] measurements) {
float sum = 0F;
for (float measurement : measurements) {
sum += measurement;
}
return sum / measurements.length;
}
private static float calculateStdev(float[] measurements) {
float average = calculateAverage(measurements);
double stdev_squared = 0F;
for (float measurement : measurements) {
stdev_squared += Math.pow(measurement - average, 2) / (double)(measurements.length - 1);
}
return (float) Math.sqrt(stdev_squared);
}
private static float calculateTemperatureHash(float[] measurements) {
float hash = 0F;
for (int i = 0; i < measurements.length; i++) {
hash += (float) (measurements[i] * Math.pow(i + 1, 2));
}
return hash;
}
}
}