CSES - Datatähti 2024 alku - Results
Submission details
Task:Säähavainnot
Sender:EmuBird
Submission time:2023-11-12 21:16:46 +0200
Language:Java
Status:READY
Result:57
Feedback
groupverdictscore
#1ACCEPTED56.63
Test results
testverdicttimescore
#1ACCEPTED0.79 s7.38details
#2ACCEPTED0.81 s7.5details
#3ACCEPTED0.81 s7.38details
#4ACCEPTED0.77 s7.25details
#5ACCEPTED0.82 s7details
#6ACCEPTED0.79 s7details
#7ACCEPTED0.80 s6.38details
#8ACCEPTED0.81 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) ((int) byteBuffer.get() + 128) / 25F;
            float temperatureHash = (float) ((int) byteBuffer.getShort() | (int) byteBuffer.get() << 15) * 2F;

            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) {
        Float[] forecast = new Float[12];
        Map<Float, WeatherRecord> weightedRecords = weighRecords(sampleRecords, record.statistics);

        if (weightedRecords.isEmpty()) return forecast;

        BiFunction<Integer, Float, Float> predict = (hour, offset) -> {
            float temperature = offset;

            // 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());
            return deviation > 0.28F ? null : temperature;
        };

        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;
        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);
            weightMap.put(scaledWeight, entry.getValue());
        }

        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) * 6000F +
                    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, 2.2D));
            }
            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
0.14063174 0.050493278 -0.1114...
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
2.6901312 2.5880635 2.5701282 ...
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
10.101855 10.138453 9.892615 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
17.412447 17.258904 17.08391 1...
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
-4.3228626 -4.2658997 -4.43447...
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
12.611669 12.811807 12.775359 ...
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
-1.8079784 -1.8610699 -1.78403...
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
15.213811 15.297941 15.289139 ...
Truncated