//
// Created by frederik on 1/11/25.
//

#include "MMS24-25.h"
#include <stdio.h>
#include <stdlib.h>
#include <stdarg.h>
#include <math.h>

// Preprocessor Definitions in case they are not defined
#ifndef M_PI
#define M_PI 3.14159265358979323846
#endif
#ifndef EXIT_FAILURE
#define EXIT_FAILURE 1
#endif
#ifndef NULL
#define NULL 0
#endif

void info(char* fmt,...) {
    fprintf(stderr, "[\x1B[37;1m INFO \x1B[0m] \x1B[34m'");

    va_list args;
    va_start(args, fmt);
    vfprintf(stderr, fmt, args);
    va_end(args);

    fprintf(stderr, "'\x1B[0m\n");
}

void success(char* fmt,...) {
    fprintf(stderr, "[\x1B[32;1m PASS \x1B[0m] \x1B[34m'");

    va_list args;
    va_start(args, fmt);
    vfprintf(stderr, fmt, args);
    va_end(args);

    fprintf(stderr, "'\x1B[0m\n");
}

void error(const char* fmt, ...) {
    va_list args;

    fprintf(stderr, "<\x1B[31;1m ERROR \x1B[0m: \x1B[34m'");
    va_start(args, fmt);
    vfprintf(stderr, fmt, args);
    va_end(args);
    fprintf(stderr, "'\x1B[0m >\n");
    exit(-1);
}

void testInterpolation() {
    info("testInterpolation");

    double dRangeMin = -1;
    double dRangeMax = 1;
    double dRangeStep = 0.33;

    for (double dX1=dRangeMin;dX1<dRangeMax;dX1+=dRangeStep) {
        for (double dX2=dRangeMin;dX2<dRangeMax;dX2+=dRangeStep) {
            for (double dY1=dRangeMin;dY1<dRangeMax;dY1+=dRangeStep) {
                for (double dY2=dRangeMin;dY2<dRangeMax;dY2+=dRangeStep) {
                    for (double dX=dRangeMin;dX<dRangeMax;dX+=dRangeStep) {
                        if (dX1 == dX2 || dX1 == dX || dX2 == dX)
                            continue;

                        double dR1 = interpolateLine(dX1, dY1, dX2, dY2, dX);
                        double dR2 = interpolateLine(dX1, dY1, dX, dR1, dX2);

                        if (round(dR2*1e6) != round(dY2*1e6))
                            error("Failed assertion for: (%lf, %lf), (%lf, %lf) -> (%lf, %lf); %lf", dX1, dY1, dX2, dY2, dX, dR1, dR2);
                    }
                }
            }
        }
    }

    success("testInterpolation();");
}

void testSineAndReadWriteDoubleArraySingle(int nValues, int dPLen, double dAmp) {
    info("Trying: %d, %d, %lf", nValues, dPLen, dAmp);

    char* fileName = NULL;
    fileName = malloc(100*sizeof(char));

    if (fileName == NULL) {
        error("Could not allocate Memory for `fileName`!");
    }

    sprintf(fileName, "sine_%d_%d_%lf.results.txt", nValues, dPLen, dAmp);

    double *pdSineValues = generateSineValues(
        nValues,
        dPLen,
        dAmp
    );

    writeDoubleArray(
        pdSineValues,
        nValues,
        fileName
    );

    success("Wrote %d values to %s", nValues, fileName);

    double *pdReadValues = NULL;
    int iReadValues = readDoubleArray(
        fileName,
        &pdReadValues
    );

    if (iReadValues != nValues) {
        error("Failed to read the correct number of values: %d != %d", iReadValues, nValues);
    }

    success("Read %d values from %s", iReadValues, fileName);

    for (int i=0; i<nValues; i++) {
        if (round(pdSineValues[i]*1e6) != round(pdReadValues[i]*1e6)) {
            error("Failed to read the correct value at index %d: %lf != %lf", i, pdSineValues[i], pdReadValues[i]);
        }
    }

    info("use `plot \"%s\", \"%s\" with lines` to view.", fileName, fileName);

    free(fileName);
    free(pdSineValues);
    free(pdReadValues);
}

void testSineAndReadWriteDoubleArray() {
    info("testSineAndWriteDoubleArray");

    testSineAndReadWriteDoubleArraySingle(1000, 300, 1);
    testSineAndReadWriteDoubleArraySingle(10, 10, 0.5);
    testSineAndReadWriteDoubleArraySingle(10, -10, 0.5);
    testSineAndReadWriteDoubleArraySingle(10, 10, 0);

    success("testSineAndWriteDoubleArray");
}

void testCreateSignalWithDefault() {
    info("testCreateSignalWithDefault");

    MMSignal *signal = createSignalWithDefault(10, M_PI);

    if (signal->iNumValues != 10) {
        error("Failed to create signal with 10 values: %d != 10", signal->iNumValues);
    }

    for (int i=0; i<10; i++) {
        if (signal->pdValues[i] != M_PI) {
            error("Failed to create signal with default value 0 at index %d: %lf != 0", i, signal->pdValues[i]);
        }
    }

    success("testCreateSignalWithDefault");

    deleteSignal(signal);
}

void testCreateSignalFromDoubleArray() {
    info("testCreateSignalFromDoubleArray");

    double pdValues[] = {1, 2, 3, 4, 5, 6, 7, 8, 9, 10};

    MMSignal *signal = createSignalFromDoubleArray(10, pdValues);

    if (signal->iNumValues != 10) {
        error("Failed to create signal with 10 values: %d != 10", signal->iNumValues);
    }

    for (int i=0; i<10; i++) {
        if (signal->pdValues[i] != pdValues[i]) {
            error("Failed to create signal with default value 0 at index %d: %lf != 0", i, signal->pdValues[i]);
        }
    }

    success("testCreateSignalFromDoubleArray");

    deleteSignal(signal);
}

void testCreateSignalFromFile() {
    info("testCreateSignalFromFile");

    double pdValues[] = {1, 2, 3, 4, 5, 6, 7, 8, 9, 10};

    char* fileName = "testCreateSignalFromFile.results.txt";

    writeDoubleArray(pdValues, 10, fileName);

    MMSignal *signal = createSignalFromFile(fileName);

    if (signal->iNumValues != 10) {
        error("Failed to create signal with 10 values: %d != 10", signal->iNumValues);
    }

    for (int i=0; i<10; i++) {
        if (signal->pdValues[i] != pdValues[i]) {
            error("Failed to create signal with default value 0 at index %d: %lf != 0", i, signal->pdValues[i]);
        }
    }

    success("testCreateSignalFromFile");

    deleteSignal(signal);
}

void testWriteMMSignal() {
    info("testWriteMMSignal");

    double pdValues[] = {1, 2, 3, 4, 5, 6, 7, 8, 9, 10};

    char* fileName = "testWriteMMSignal.results.txt";

    MMSignal *signal = createSignalFromDoubleArray(10, pdValues);

    writeMMSignal(fileName, signal);

    MMSignal *readSignal = createSignalFromFile(fileName);

    if (signal->iNumValues != readSignal->iNumValues) {
        error("Failed to read the correct number of values: %d != %d", signal->iNumValues, readSignal->iNumValues);
    }

    for (int i=0; i<10; i++) {
        if (signal->pdValues[i] != readSignal->pdValues[i]) {
            error("Failed to read the correct value at index %d: %lf != %lf", i, signal->pdValues[i], readSignal->pdValues[i]);
        }
    }

    deleteSignal(signal);
    deleteSignal(readSignal);

    success("testWriteMMSignal");
}

void testCalculateArea() {
    info("testCalculateArea");

    double pdValues[] = {1, 2, 3, 4, 5, 6, 7, 8, 9, 10};

    double dArea = calculateArea(pdValues, 10);

    if (round(dArea*1e6) != 55e6) {
        error("Failed to calculate the correct area: %lf != 55", dArea);
    }

    success("testCalculateArea");
}

void testCalculateMean() {
    info("testCalculateMean");

    double pdValues[] = {1, 2, 3, 4, 5, 6, 7, 8, 9, 10};

    double dMean = calculateMean(pdValues, 10);

    if (round(dMean*1e6) != 5.5e6) {
        error("Failed to calculate the correct mean: %lf != 5.5", dMean);
    }

    success("testCalculateMean");
}

void testCalculateStdDev() {
    info("testCalculateStdDev");

    double pdValues[] = {1, 2, 3, 4, 5, 6, 7, 8, 9, 10};

    double dStdDev = calculateStddev(pdValues, 10);

    if (round(dStdDev*1e6) != 2.872281e6) {
        error("Failed to calculate the correct standard deviation: %lf != 2.872281", dStdDev);
    }

    success("testCalculateStdDev");
}

void testCalculateMedian() {
    info("testCalculateMedian");

    double pdValues[] = {1, 2, 3, 4, 5, 6, 7, 8, 9, 10};

    double dMedian = calculateMedian(pdValues, 10);

    if (dMedian != 5.5) {
        error("Failed to calculate the correct median: %lf != 5.5", dMedian);
    }

    double pdValues2[] = {1, 2, 3, 4, 5, 6, 7, 8, 9};

    dMedian = calculateMedian(pdValues2, 9);

    if (dMedian != 5) {
        error("Failed to calculate the correct median: %lf != 5", dMedian);
    }

    success("testCalculateMedian");
}

void testCalculateEntropy() {
    info("testCalculateEntropy");

    double pdValues[] = {0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10};

    Histogram *histogram = initHistogram(pdValues, 11, 11);

    double dEntropy = calculateEntropy(histogram);

    if (round(dEntropy*1e6) != 3.459432e6) { // Should be log2(1/11) = 3.459432
        error("Failed to calculate the correct entropy: %lf != 3.459432", dEntropy);
    }

    success("testCalculateEntropy");
}

void testConvoluteSignals() {
    info("testConvoluteSignals");

    double pdValues1[] = {1, 2, 3, 4, 5};
    double pdValues2[] = {1, 2, 3, 4, 5};

    MMSignal *signal1 = createSignalFromDoubleArray(5, pdValues1);
    MMSignal *signal2 = createSignalFromDoubleArray(5, pdValues2);

    MMSignal *signal3 = convoluteSignals(signal1, signal2);

    if (signal3->iNumValues != 9) {
        error("Failed to calculate the correct number of values: %d != 9", signal3->iNumValues);
    }

    double pdExpectedValues[] = {1, 4, 10, 20, 35, 44, 46, 40, 25};

    for (int i=0; i<9; i++) {
        if (signal3->pdValues[i] != pdExpectedValues[i]) {
            error("Failed to calculate the correct value at index %d: %lf != %lf", i, signal3->pdValues[i], pdExpectedValues[i]);
        }
    }

    success("testConvoluteSignals");
}

void testGetPascalLine() {
    info("testGetPascalLine");

    // For 5
    MMSignal *signal = getPascalLine(5);

    if (signal->iNumValues != 5) {
        error("Failed to calculate the correct number of values: %d != 5", signal->iNumValues);
    }

    double pdExpectedValues[] = {1, 4, 6, 4, 1};

    for (int i=0; i<5; i++) {
        if (signal->pdValues[i] != pdExpectedValues[i]) {
            error("Failed to calculate the correct value at index %d: %lf != %lf", i, signal->pdValues[i], pdExpectedValues[i]);
        }
    }

    // For 1
    signal = getPascalLine(1);

    if (signal->iNumValues != 1) {
        error("Failed to calculate the correct number of values: %d != 1", signal->iNumValues);
    }

    if (signal->pdValues[0] != 1) {
        error("Failed to calculate the correct value at index 0: %lf != 1", signal->pdValues[0]);
    }

    // For 11
    signal = getPascalLine(11);

    if (signal->iNumValues != 11) {
        error("Failed to calculate the correct number of values: %d != 11", signal->iNumValues);
    }

    double pdExpectedValues11[] = {1, 10, 45, 120, 210, 252, 210, 120, 45, 10, 1};

    for (int i=0; i<11; i++) {
        if (signal->pdValues[i] != pdExpectedValues11[i]) {
            error("Failed to calculate the correct value at index %d: %lf != %lf", i, signal->pdValues[i], pdExpectedValues11[i]);
        }
    }

    success("testGetPascalLine");
}

void testApplyPascalConvForSeriesGT40() {
    info("testApplyPascalForSeriesGT40");

    MMSignal *signal = getPascalLine(40);
    MMSignal *signal2 = convoluteSignals(signal, signal);

    writeMMSignal("testApplyPascalForSeriesGT40.results.txt", signal2);

    success("testApplyPascalForSeriesGT40");
}

void testComputeDFT() {
    info("testComputeDFT");

    double pdRealIn[] = {1, 2, 3, 4, 5};
    double pdImgIn[] = {1, 2, 3, 4, 5};

    double pdRealOut[5];
    double pdImgOut[5];

    computeDFT(5, pdRealIn, pdImgIn, pdRealOut, pdImgOut, 1);

    for (int i=0; i<5; i++) {
        if (pdImgOut[i] < 0) {
            printf("%lf - %lfi\n", pdRealOut[i], -pdImgOut[i]);
        } else {
            printf("%lf + %lfi\n", pdRealOut[i], pdImgOut[i]);
        }
    }

    success("testComputeDFT");
}

void testConvertCart2Polar() {
    // convertCart2Polar(double *pdRealIn, double *pdImgIn, double *pdRadiusOut, double *pdAngleOut, int iLen)
    info("testConvertCart2Polar");

    double pdRealIn[] = {1, 0, 1, -1, 0};
    double pdImgIn[] = {0, 1, 1, 0, -1};
    double pdRadiusOut[5];
    double pdAngleOut[5];

    convertCart2Polar(pdRealIn, pdImgIn, pdRadiusOut, pdAngleOut, 5);

    for (int i=0; i<5; i++) {
        printf("%lf + %lfi -> r=%lf / θ=%lfπ\n", pdRealIn[i], pdImgIn[i], pdRadiusOut[i], pdAngleOut[i] / M_PI);
    }

    success("testConvertCart2Polar");
}

void testConvertPolar2Cart() {
    // convertPolar2Cart(double *pdRadiusIn, double *pdAngleIn, double *pdRealOut, double *pdImgOut, int iLen)
    info("testConvertPolar2Cart");

    double pdRadiusIn[] = {1, 1, 1, 1, 1};
    double pdAngleIn[] = {0, M_PI/2, M_PI, 3*M_PI/2, 2*M_PI};
    double pdRealOut[5];
    double pdImgOut[5];

    convertPolar2Cart(pdRadiusIn, pdAngleIn, pdRealOut, pdImgOut, 5);

    for (int i=0; i<5; i++) {
        printf("r=%lf / θ=%lfπ -> %lf + %lfi\n", pdRadiusIn[i], pdAngleIn[i] / M_PI, pdRealOut[i], pdImgOut[i]);
    }

    success("testConvertPolar2Cart");
}

void testCalcExtrema() {
    info("testCalcExtrema");

    double pdValues[] = {1, 2, 1, 0, -1, -2, -1, 0, 1, 5};

    Extrema *extrema = initExtrema(pdValues, 10);

    info("*extrema: %p", extrema);
    info("*extrema->pexLocalMax: %p", extrema->pexLocalMax);
    info("*extrema->pexLocalMin: %p", extrema->pexLocalMin);
    info("*extrema->pexLocalMax->piLocalExtremaPos: %p", extrema->pexLocalMax->piLocalExtremaPos);
    info("*extrema->pexLocalMin->piLocalExtremaPos: %p", extrema->pexLocalMin->piLocalExtremaPos);

    if (extrema->pexLocalMax->iNumLocalExtrema != 1) {
        error("Failed to calculate the correct number of local maxima: %d != 1", extrema->pexLocalMax->iNumLocalExtrema);
    }

    if (extrema->pexLocalMin->iNumLocalExtrema != 1) {
        error("Failed to calculate the correct number of local minima: %d != 1", extrema->pexLocalMin->iNumLocalExtrema);
    }

    if (extrema->iGlobalMaxPos != 9) {
        error("Failed to calculate the correct global maximum position: %d != 9", extrema->iGlobalMaxPos);
    }

    if (extrema->iGlobalMinPos != 5) {
        error("Failed to calculate the correct global minimum position: %d != 4", extrema->iGlobalMinPos);
    }

    if (extrema->pexLocalMax->piLocalExtremaPos[0] != 1) {
        error("Failed to calculate the correct local maximum position: %d != 9", extrema->pexLocalMax->piLocalExtremaPos[0]);
    }

    if (extrema->pexLocalMin->piLocalExtremaPos[0] != 5) {
        error("Failed to calculate the correct local minimum position: %d != 4", extrema->pexLocalMin->piLocalExtremaPos[0]);
    }

    success("testCalcExtrema");
}

void testInitMMSignalFeatures() {
    /*
     * Test for Signals of multiple lengths including edge cases.
     */

    info("testInitMMSignalFeatures");

    // Test for 0 values
    info("Test for 0 values");
    MMSignal *signal = createSignalWithDefault(0, 0);
    initMMSignalFeatures(signal);
    if (signal->dArea != 0) {
        error("Failed to calculate the correct area: %lf != 0", signal->dArea);
    }
    if (signal->dMean != 0) {
        error("Failed to calculate the correct mean: %lf != 0", signal->dMean);
    }
    if (signal->dStdDev != 0) {
        error("Failed to calculate the correct standard deviation: %lf != 0", signal->dStdDev);
    }
    if (signal->dMedian != 0) {
        error("Failed to calculate the correct median: %lf != 0", signal->dMedian);
    }
    if (signal->pexExtrema->iGlobalMinPos != 0) {
        error("Failed to calculate the correct global minimum position: %d != 0", signal->pexExtrema->iGlobalMinPos);
    }
    if (signal->pexExtrema->iGlobalMaxPos != 0) {
        error("Failed to calculate the correct global maximum position: %d != 0", signal->pexExtrema->iGlobalMaxPos);
    }
    if (signal->pexExtrema->pexLocalMax->iNumLocalExtrema != 0) {
        error("Failed to calculate the correct number of local maxima: %d != 0", signal->pexExtrema->pexLocalMax->iNumLocalExtrema);
    }
    deleteSignal(signal);

    // List of 1 to 10
    double pdValuesL[] = {1, 2, 3, 4, 5, 6, 7, 8, 9, 10};
    signal = createSignalFromDoubleArray(10, pdValuesL);
    initMMSignalFeatures(signal);
    if (signal->dArea != 55) {
        error("Failed to calculate the correct area: %lf != 55", signal->dArea);
    }
    if (signal->dMean != 5.5) {
        error("Failed to calculate the correct mean: %lf != 5.5", signal->dMean);
    }
    if (round(signal->dStdDev*1e6) != 2.872281e6) {
        error("Failed to calculate the correct standard deviation: %lf != 2.872281", signal->dStdDev);
    }
    if (signal->dMedian != 5.5) {
        error("Failed to calculate the correct median: %lf != 5.5", signal->dMedian);
    }
    if (signal->pexExtrema->iGlobalMinPos != 0) {
        error("Failed to calculate the correct global minimum position: %d != 0", signal->pexExtrema->iGlobalMinPos);
    }
    if (signal->pexExtrema->iGlobalMaxPos != 9) {
        error("Failed to calculate the correct global maximum position: %d != 9", signal->pexExtrema->iGlobalMaxPos);
    }
    if (signal->pexExtrema->pexLocalMax->iNumLocalExtrema != 0) {
        error("Failed to calculate the correct number of local maxima: %d != 1", signal->pexExtrema->pexLocalMax->iNumLocalExtrema);
    }
    deleteSignal(signal);


    // Test for 1 value
    info("Test for 1 value");
    signal = createSignalWithDefault(1, 1);
    initMMSignalFeatures(signal);
    if (signal->dArea != 1) {
        error("Failed to calculate the correct area: %lf != 1", signal->dArea);
    }
    if (signal->dMean != 1) {
        error("Failed to calculate the correct mean: %lf != 1", signal->dMean);
    }
    if (signal->dStdDev != 0) {
        error("Failed to calculate the correct standard deviation: %lf != 0", signal->dStdDev);
    }
    if (signal->dMedian != 1) {
        error("Failed to calculate the correct median: %lf != 1", signal->dMedian);
    }
    if (signal->pexExtrema->iGlobalMinPos != 0) {
        error("Failed to calculate the correct global minimum position: %d != 0", signal->pexExtrema->iGlobalMinPos);
    }
    if (signal->pexExtrema->iGlobalMaxPos != 0) {
        error("Failed to calculate the correct global maximum position: %d != 0", signal->pexExtrema->iGlobalMaxPos);
    }
    if (signal->pexExtrema->pexLocalMax->iNumLocalExtrema != 0) {
        error("Failed to calculate the correct number of local maxima: %d != 1", signal->pexExtrema->pexLocalMax->iNumLocalExtrema);
    }
    deleteSignal(signal);

    // Test for 2 values
    info("testInitMMSignalFeatures: 2 values");
    double pdValuesT[] = {1, 1};
    signal = createSignalFromDoubleArray(2, pdValuesT);
    initMMSignalFeatures(signal);
    if (signal->dArea != 2) {
        error("Failed to calculate the correct area: %lf != 2", signal->dArea);
    }
    if (signal->dMean != 1) {
        error("Failed to calculate the correct mean: %lf != 1", signal->dMean);
    }
    if (signal->dStdDev != 0) {
        error("Failed to calculate the correct standard deviation: %lf != 0", signal->dStdDev);
    }
    if (signal->dMedian != 1) {
        error("Failed to calculate the correct median: %lf != 1", signal->dMedian);
    }
    if (signal->pexExtrema->iGlobalMinPos != 0) {
        error("Failed to calculate the correct global minimum position: %d != 0", signal->pexExtrema->iGlobalMinPos);
    }
    if (signal->pexExtrema->iGlobalMaxPos != 0) {
        error("Failed to calculate the correct global maximum position: %d != 0", signal->pexExtrema->iGlobalMaxPos);
    }
    if (signal->pexExtrema->pexLocalMax->iNumLocalExtrema != 0) {
        error("Failed to calculate the correct number of local maxima: %d != 0", signal->pexExtrema->pexLocalMax->iNumLocalExtrema);
    }
    deleteSignal(signal);

    // Test for 3 values with local maximum
    info("testInitMMSignalFeatures: 3 values with local maximum");
    double pdValues[] = {1, 2, 1};
    signal = createSignalFromDoubleArray(3, pdValues);
    initMMSignalFeatures(signal);
    if (signal->dArea != 4) {
        error("Failed to calculate the correct area: %lf != 4", signal->dArea);
    }
    if (signal->dMean != 4.0/3.0) {
        error("Failed to calculate the correct mean: %lf != 4/3", signal->dMean);
    }
    if (round(signal->dStdDev*1e6) != 0.471405e6) {
        error("Failed to calculate the correct standard deviation: %lf != 0.471405", signal->dStdDev);
    }
    if (signal->dMedian != 1) {
        error("Failed to calculate the correct median: %lf != 1", signal->dMedian);
    }
    if (signal->pexExtrema->iGlobalMinPos != 0) {
        error("Failed to calculate the correct global minimum position: %d != 2", signal->pexExtrema->iGlobalMinPos);
    }
    if (signal->pexExtrema->iGlobalMaxPos != 1) {
        error("Failed to calculate the correct global maximum position: %d != 1", signal->pexExtrema->iGlobalMaxPos);
    }
    if (signal->pexExtrema->pexLocalMax->iNumLocalExtrema != 1) {
        error("Failed to calculate the correct number of local maxima: %d != 1", signal->pexExtrema->pexLocalMax->iNumLocalExtrema);
    }
    deleteSignal(signal);

    // Test for 3 values with local minimum
    info("testInitMMSignalFeatures: 3 values with local minimum");
    double pdValues2[] = {1, 0, 1};
    signal = createSignalFromDoubleArray(3, pdValues2);
    initMMSignalFeatures(signal);
    if (signal->dArea != 2) {
        error("Failed to calculate the correct area: %lf != 2", signal->dArea);
    }
    if (signal->dMean != 2.0/3.0) {
        error("Failed to calculate the correct mean: %lf != 2/3", signal->dMean);
    }
    if (round(signal->dStdDev*1e6) != 0.471405e6) {
        error("Failed to calculate the correct standard deviation: %lf != 0.471405", signal->dStdDev);
    }
    if (signal->dMedian != 1) {
        error("Failed to calculate the correct median: %lf != 1", signal->dMedian);
    }
    if (signal->pexExtrema->iGlobalMinPos != 1) {
        error("Failed to calculate the correct global minimum position: %d != 1", signal->pexExtrema->iGlobalMinPos);
    }
    if (signal->pexExtrema->iGlobalMaxPos != 0) {
        error("Failed to calculate the correct global maximum position: %d != 2", signal->pexExtrema->iGlobalMaxPos);
    }
    if (signal->pexExtrema->pexLocalMin->iNumLocalExtrema != 1) {
        error("Failed to calculate the correct number of local minima: %d != 1", signal->pexExtrema->pexLocalMin->iNumLocalExtrema);
    }
    deleteSignal(signal);

    success("testInitMMSignalFeatures");
}

int eqToNDecimals(double dValueA, double dValueB, int iDecimals) {
    return round(dValueA * pow(10, iDecimals)) == round(dValueB * pow(10, iDecimals));
}

void testRescaleDoubleArraySingle(
    double *pdValues,
    double *pdExpectedValues,
    int iNumValues,
    double dMin,
    double dFactor
) {
    double pdOut[10];

    rescaleDoubleArray(pdValues, iNumValues, dMin, dFactor, pdOut);

    for (int i=0; i<iNumValues; i++) {
        if (pdOut[i] != pdExpectedValues[i]) {
            error("Failed to rescale the correct value at index %d: %lf != %lf", i, pdOut[i], pdExpectedValues[i]);
        }
    }

    for (int i=1; i<iNumValues; i++) {
        if (!eqToNDecimals(pdOut[i] - pdOut[i-1], (pdValues[i] - pdValues[i-1]) * dFactor, 6)) {
            error("Failed scaling at index %d->%d: %lf != %lf", i-1, i, pdOut[i] - pdOut[i-1], (pdValues[i] - pdValues[i-1]) * dFactor);
        }
    }

    int minIndex = 0;
    for (int i=1; i<iNumValues; i++) {
        if (pdOut[i] < pdOut[minIndex]) {
            minIndex = i;
        }
    }

    if (pdOut[minIndex] != dMin) {
        error("Failed to rescale the minimum value: %lf != %lf", pdOut[minIndex], dMin);
    }

    success("testRescaleDoubleArraySingle");
}

void testRescaleDoubleArray() {
    // void rescaleDoubleArray(double *pdIn, int iLen, double dMin, double dFactor, double *pdOut);
    /* Rescales an array of double values so that the minimum value is dMin and
     * the difference between any two values is scaled by dFactor.
     * The result is stored in pdOut.
     */
    info("testRescaleDoubleArray");

    double pdValues[] = {17, 4, -8, 0, 3, 5, 2, 1, 9, 6};
    double pdOut[10];

    double pdExpectedValues[] = {50, 24, 0, 16, 22, 26, 20, 18, 34, 28};
    testRescaleDoubleArraySingle(pdValues, pdExpectedValues, 10, 0, 2);

    double pdExpectedValues2[] = {0, 0, 0, 0, 0, 0, 0, 0, 0, 0};
    testRescaleDoubleArraySingle(pdValues, pdExpectedValues2, 10, 0, 0);

    double pdExpectedValues3[] = {12.5, 6, 0, 4, 5.5, 6.5, 5, 4.5, 8.5, 7};
    testRescaleDoubleArraySingle(pdValues, pdExpectedValues3, 10, 0, 0.5);

    double pdExpectedValues4[] = {22.5, 16, 10, 14, 15.5, 16.5, 15, 14.5, 18.5, 17};
    testRescaleDoubleArraySingle(pdValues, pdExpectedValues4, 10, 10, 0.5);

    double pdValues2[] = {1, 2, 3, 4, 5, 6, 7, 8, 9, 10};
    double pdExpectedValues2_4[] = {0, 1, 2, 3, 4, 5, 6, 7, 8, 9};
    testRescaleDoubleArraySingle(pdValues2, pdExpectedValues2_4, 10, 0, 1);

    double pdExpectedValues2_5[] = {0, 0.5, 1, 1.5, 2, 2.5, 3, 3.5, 4, 4.5};
    testRescaleDoubleArraySingle(pdValues2, pdExpectedValues2_5, 10, 0, 0.5);

    // 1 element
    double pdValues3[] = {1};
    double pdExpectedValues3_1[] = {0};
    testRescaleDoubleArraySingle(pdValues3, pdExpectedValues3_1, 1, 0, 1);

    double pdExpectedValues3_2[] = {5};
    testRescaleDoubleArraySingle(pdValues3, pdExpectedValues3_2, 1, 5, 1);

    double pdExpectedValues3_3[] = {5};
    testRescaleDoubleArraySingle(pdValues3, pdExpectedValues3_3, 1, 5, 0);

    // 2 elements
    double pdValues4[] = {1, 2};
    double pdExpectedValues4_1[] = {0, 1};
    testRescaleDoubleArraySingle(pdValues4, pdExpectedValues4_1, 2, 0, 1);

    double pdExpectedValues4_2[] = {0, 5};
    testRescaleDoubleArraySingle(pdValues4, pdExpectedValues4_2, 2, 0, 5);

    success("testRescaleDoubleArray");
}

int main (int iArgC, char** ppcArgV){
    testInterpolation();
    testSineAndReadWriteDoubleArray();
    testCreateSignalWithDefault();
    testCreateSignalFromDoubleArray();
    testCreateSignalFromFile();
    testWriteMMSignal();
    testCalculateArea();
    testCalculateMean();
    testCalculateStdDev();
    testCalculateMedian();
    testCalculateEntropy();
    testConvoluteSignals();
    testGetPascalLine();
    testComputeDFT();
    testConvertCart2Polar();
    testConvertPolar2Cart();
    testApplyPascalConvForSeriesGT40();
    testCalcExtrema();
    testInitMMSignalFeatures();
    testRescaleDoubleArray();

    return 0;
}