CSES - Datatähti 2024 alku - Results
Submission details
Task:Säähavainnot
Sender:EmuBird
Submission time:2023-11-10 17:44:19 +0200
Language:Java
Status:READY
Result:55
Feedback
groupverdictscore
#1ACCEPTED54.63
Test results
testverdicttimescore
#1ACCEPTED0.72 s7.25details
#2ACCEPTED0.75 s7.25details
#3ACCEPTED0.73 s7.13details
#4ACCEPTED0.72 s6.63details
#5ACCEPTED0.72 s6.88details
#6ACCEPTED0.74 s6.63details
#7ACCEPTED0.73 s6.38details
#8ACCEPTED0.72 s6.5details

Code

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.
        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;
        }
    }
}

Test details

Test 1

Verdict: ACCEPTED

input
1000
-0.4 -0.1 -0.2 -0.3 -0.4 -0.5 ...

correct output
0.4 0.4 0.5 0.8 0.9 1.1 1.3 1....

user output
0.13661748 -0.0604643 -0.11822...
Truncated

Test 2

Verdict: ACCEPTED

input
1000
2.9 2.9 2.9 2.1 2.6 2 2 2.2 2....

correct output
2.3 1.6 1.5 1.1 1 0.7 0.6 0.8 ...

user output
2.6814744 2.645401 2.6440933 2...
Truncated

Test 3

Verdict: ACCEPTED

input
1000
6.6 6 6.4 6 4.6 4.6 4.2 4.3 4....

correct output
10 10.9 10.3 10.1 9.1 7.3 5.7 ...

user output
10.118363 10.202576 9.759539 9...
Truncated

Test 4

Verdict: ACCEPTED

input
1000
19.4 20.2 19.1 18.9 18.3 17.3 ...

correct output
18 18.2 17 17.5 17.2 16.2 12 8...

user output
17.45701 17.46885 17.377945 16...
Truncated

Test 5

Verdict: ACCEPTED

input
1000
-5.7 -5.8 -5.8 -5.9 -7.1 -6.9 ...

correct output
-4.2 -4.1 -4 -3.8 -3.5 -3.2 -3...

user output
-4.300571 -4.2909455 -4.423170...
Truncated

Test 6

Verdict: ACCEPTED

input
1000
14.8 14.8 15.4 12.9 11.8 9.7 9...

correct output
11.8 11 11.6 10.8 10.4 10.4 10...

user output
12.956605 12.976973 12.761326 ...
Truncated

Test 7

Verdict: ACCEPTED

input
1000
0.7 1 2 1.4 0.6 -0.4 -0.9 -0.7...

correct output
-1.3 -0.5 -0.6 -1 -3.2 -7.2 -6...

user output
-1.8296399 -1.8146143 -1.56000...
Truncated

Test 8

Verdict: ACCEPTED

input
1000
15.1 15.3 14.9 14.4 14.4 13.7 ...

correct output
15.6 15.9 16 15.2 14.6 14.4 13...

user output
15.198767 15.233739 15.000588 ...
Truncated