CSES - Datatähti 2024 alku - Results
Submission details
Task:Säähavainnot
Sender:EmuBird
Submission time:2023-11-12 23:35:59 +0200
Language:Java
Status:READY
Result:44
Feedback
groupverdictscore
#1ACCEPTED43.5
Test results
testverdicttimescore
#1ACCEPTED0.83 s5.63details
#2ACCEPTED0.85 s6.25details
#3ACCEPTED0.86 s6details
#4ACCEPTED0.86 s5.75details
#5ACCEPTED0.83 s5details
#6ACCEPTED0.80 s5details
#7ACCEPTED0.84 s4.88details
#8ACCEPTED0.91 s5details

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 = 100000F / 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
0.18908797 0.18310736 0.165227...
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
2.6561337 2.620793 2.5152242 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
10.218082 10.200656 10.222167 ...
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
17.643147 17.459417 17.284412 ...
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
-4.359091 -4.3287807 -4.487994...
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
12.732441 13.002912 12.772557 ...
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
-1.6892099 -1.7346203 -1.92041...
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
15.0347595 14.886752 14.784404...
Truncated