CSES - Datatähti 2024 alku - Results
Submission details
Task:Säähavainnot
Sender:EmuBird
Submission time:2023-11-12 18:22:38 +0200
Language:Java
Status:READY
Result:57
Feedback
groupverdictscore
#1ACCEPTED57.13
Test results
testverdicttimescore
#1ACCEPTED0.76 s7.63details
#2ACCEPTED0.76 s7.5details
#3ACCEPTED0.77 s7.25details
#4ACCEPTED0.79 s7.25details
#5ACCEPTED0.82 s7.13details
#6ACCEPTED0.77 s7.13details
#7ACCEPTED0.81 s6.5details
#8ACCEPTED0.77 s6.75details

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 > 0.28F) {
                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 = 2D;
        float totalWeight = 0F;
        double totalSuitabilitiesSquared = 0F;
        for (WeatherRecord sampleRecord : sampleRecords) {
            float unsuitability = sampleRecord.statistics.calculateUnsuitability(target);

            if (unsuitability < 24300F) {
                if (unsuitability == 0F) {
                    Map<Float, WeatherRecord> weightMap = new LinkedHashMap<>();
                    weightMap.put(1F, sampleRecord);
                    return weightMap;
                }
                float suitability = 30000F / 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) * 5700F +
                    Math.abs(this.minTemperature - target.minTemperature) * 4000F +
                    Math.abs(this.maxTemperature - target.maxTemperature) * 4000F;
        }

        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, 2.15D));
            }
            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
0.35619 0.5851016 0.8942805 0....
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
2.69986 2.6658976 2.584082 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
10.126287 10.102091 9.726364 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
17.3231 17.214863 17.087528 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
-4.29045 -4.3446608 -4.590029 ...
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
12.657958 12.848 12.884833 12....
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
-1.7921016 -1.7985073 -1.69176...
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
15.211753 15.265646 15.072267 ...
Truncated