CSES - Datatähti 2024 alku - Results
Submission details
Task:Säähavainnot
Sender:EmuBird
Submission time:2023-11-12 23:38:16 +0200
Language:Java
Status:READY
Result:45
Feedback
groupverdictscore
#1ACCEPTED44.88
Test results
testverdicttimescore
#1ACCEPTED0.86 s5.88details
#2ACCEPTED0.87 s6.25details
#3ACCEPTED0.83 s6details
#4ACCEPTED0.85 s6.25details
#5ACCEPTED0.84 s5.25details
#6ACCEPTED0.82 s5.13details
#7ACCEPTED0.84 s4.75details
#8ACCEPTED0.87 s5.38details

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() {
        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) / 20F;
            float temperatureHash = (float) ((int) byteBuffer.getShort() | (int) byteBuffer.get() << 15);

            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 > 0.58F ? 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 < 100000F) {
                if (unsuitability == 0F) {
                    Map<Float, WeatherRecord> weightMap = new LinkedHashMap<>();
                    weightMap.put(1F, sampleRecord);
                    return weightMap;
                }
                float suitability = 120000F / 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) * 4000F +
                    Math.abs(this.minTemperature - target.minTemperature) * 8000F +
                    Math.abs(this.maxTemperature - target.maxTemperature) * 8000F;
        }

        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] - measurements[0]) * Math.pow(i, 3D));
            }
            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
0.18697423 0.13999537 0.119261...
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
2.597628 2.5746973 2.4923596 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
10.119796 10.080771 10.0504875...
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
17.425276 17.33704 17.177113 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
-4.426829 -4.463106 -4.683535 ...
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
12.77273 13.139602 12.96789 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
-1.7146938 -1.7263763 -1.85074...
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
15.08721 14.897099 14.808162 1...
Truncated