CSES - Datatähti 2024 alku - Results
Submission details
Task:Säähavainnot
Sender:EmuBird
Submission time:2023-11-12 16:38:50 +0200
Language:Java
Status:READY
Result:41
Feedback
groupverdictscore
#1ACCEPTED40.5
Test results
testverdicttimescore
#1ACCEPTED0.73 s5.13details
#2ACCEPTED0.69 s5.38details
#3ACCEPTED0.71 s5.25details
#4ACCEPTED0.70 s5details
#5ACCEPTED0.74 s5details
#6ACCEPTED0.76 s5details
#7ACCEPTED0.76 s5details
#8ACCEPTED0.68 s4.75details

Code

import java.io.*;
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 > 0.2F) {
                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());
        double exponent = 2.2D;
        float totalWeight = 0F;
        double totalSuitabilitiesSquared = 0F;
        for (WeatherRecord sampleRecord : sampleRecords) {
            float unsuitability = sampleRecord.statistics.calculateUnsuitability(target);

            if (unsuitability < 12500F) {
                if (unsuitability == 0F) {
                    Map<Float, WeatherRecord> weightMap = new LinkedHashMap<>();
                    weightMap.put(1F, sampleRecord);
                    return weightMap;
                }
                float suitability = 12500F / unsuitability;
                totalSuitabilitiesSquared += Math.pow(suitability, exponent);
                suitabilityMap.put(suitability, sampleRecord);
            }
        }

        Map<Float, WeatherRecord> weightMap = new LinkedHashMap<>();
        double divisor = Math.pow(totalSuitabilitiesSquared, 1D / exponent);
        for (Map.Entry<Float, WeatherRecord> entry : suitabilityMap.entrySet()) {
            float scaledWeight = (float)Math.pow(entry.getKey() / divisor, exponent);
            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) * 2500F +
                    Math.abs(this.minTemperature - target.minTemperature) * 3360F +
                    Math.abs(this.maxTemperature - target.maxTemperature) * 3360F;
        }

        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, 2.116F));
            }
            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
0.37416977 0.63639694 1.019385...
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
2.753716 2.67299 2.6268182 2.5...
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
? ? ? ? ? ? ? ? ? ? ? ?
13.367555 13.616712 13.789503 ...
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
? ? ? ? ? ? ? ? ? ? ? ?
? ? ? ? ? ? ? ? ? ? ? ?
0.8719916 0.73509026 0.6900322...
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
? ? ? ? ? ? ? ? ? ? ? ?
-1.1445597 -1.1877599 -1.24860...
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
? ? ? ? ? ? ? ? ? ? ? ?
? ? ? ? ? ? ? ? ? ? ? ?
? ? ? ? ? ? ? ? ? ? ? ?
? ? ? ? ? ? ? ? ? 

...
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
? ? ? ? ? ? ? ? ? ? ? ?
? ? ? ? ? ? ? ? ? ? ? ?
? ? ? ? ? ? ? ? ? ? ? ?
? ? ? ? ? ? ? ? ? 

...
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
15.471525 15.183906 15.221082 ...
Truncated