Added other tests
Added tests for: -Average (all cases) -STD (all cases) -Anomaly detection (on a uniform distribution)
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@@ -3,14 +3,105 @@
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#include <math.h>
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#include "../include/dataAcquisition.h"
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#define NUMBER_OF_SENSORS 5
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#define SLIDING_WINDOW_SIZE 10
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#define AVERAGE_UNCERTAINTY 0.01
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#define STD_UNCERTAINTY 0.01
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// Testing the inizialization and the instanciacion of the sensors' number and sliding window size
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void test_initializeReadings() {
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initializeReadings(5, 100);
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assert(getSensorsNumber() == 5);
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assert(getSlidingWindowSize() == 100);
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initializeReadings(NUMBER_OF_SENSORS, SLIDING_WINDOW_SIZE);
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assert(getSensorsNumber() == NUMBER_OF_SENSORS);
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assert(getSlidingWindowSize() == SLIDING_WINDOW_SIZE);
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}
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// Testing the logic of add readings to see if the slidinw window is full
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void test_addReading() {
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for (int sensor = 0; sensor < NUMBER_OF_SENSORS; sensor++) {
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for (int value = 1; value <= SLIDING_WINDOW_SIZE; value++) {
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addReading(value, sensor);
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}
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}
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assert(isFull(NUMBER_OF_SENSORS-1) == true); // Assuming the last sensor acquired the data
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}
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// Testing the logic of average methods
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void test_averageOnSensor() {
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printf("Average on sensor %d: %f\n", NUMBER_OF_SENSORS-1, getAverageOnSensor(NUMBER_OF_SENSORS-1));
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float average = getAverageOnSensor(NUMBER_OF_SENSORS-1);
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float expected_average = (SLIDING_WINDOW_SIZE + 1) / 2.0;
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assert(fabs(average - expected_average) < AVERAGE_UNCERTAINTY);
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}
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void test_standardDeviationOnSensor() {
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printf("Standard deviation on sensor %d: %f\n", NUMBER_OF_SENSORS-1, getStandardDeviationOnSensor(NUMBER_OF_SENSORS-1));
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float standard_deviation = getStandardDeviationOnSensor(NUMBER_OF_SENSORS-1);
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float expected_standard_deviation = 2.872281323269;
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assert(fabs(standard_deviation - expected_standard_deviation) < STD_UNCERTAINTY);
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}
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void test_averageOnAllSensors() {
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printf("Average on all sensors: %f\n", getAverageOnAllSensors());
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float average = getAverageOnAllSensors();
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float expected_average = SLIDING_WINDOW_SIZE;
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assert(fabs(average - expected_average) < AVERAGE_UNCERTAINTY);
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}
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void test_standardDeviationOnAllSensors() {
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printf("Standard deviation on all sensors: %f\n", getStandardDeviationOnAllSensors());
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float standard_deviation = getStandardDeviationOnAllSensors();
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float expected_standard_deviation = 0;
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assert(fabs(standard_deviation - expected_standard_deviation) < STD_UNCERTAINTY);
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}
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void test_overallAverage(){
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printf("Overall average on all sensors: %f\n", getOverallAverage());
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float average = getOverallAverage();
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float expected_overall_average = (SLIDING_WINDOW_SIZE + 1) / 2.0;
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assert(fabs(average - expected_overall_average) < AVERAGE_UNCERTAINTY);
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}
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void test_overallStandardDeviation(){
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printf("Overall standard deviation: %f\n", getOverallStandardDeviation());
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float standard_deviation = getStandardDeviationOnSensor(NUMBER_OF_SENSORS-1);
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float expected_standard_deviation = 2.872281323269;
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assert(fabs(standard_deviation - expected_standard_deviation) < STD_UNCERTAINTY);
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}
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void test_anomalyDetect(){
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float average = getOverallAverage();
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float standard_deviation = getOverallStandardDeviation();
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anomalyDetect(average, standard_deviation);
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printf("Outlier count: %i\n", getOutlierCount());
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assert(fabs(getOutlierCount() - 0) < 0.01);
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// Adding an outlier
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addReading(20, NUMBER_OF_SENSORS-1);
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average = getOverallAverage();
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standard_deviation = getOverallStandardDeviation();
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anomalyDetect(average, standard_deviation);
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printf("Outlier count: %i\n", getOutlierCount());
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assert(fabs(getOutlierCount() - 1) < 0.01);
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}
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// TODO: Test all the functions with a normal distribution
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// TODO: Evaluate the normal distribution with the anomaly detection
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void test_freeReadings() {
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assert(freeReadings() == true);
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}
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int main() {
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test_initializeReadings();
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test_addReading();
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test_averageOnSensor();
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test_standardDeviationOnSensor();
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test_averageOnAllSensors();
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test_standardDeviationOnAllSensors();
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test_overallAverage();
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test_overallStandardDeviation();
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test_anomalyDetect();
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test_freeReadings();
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return 0;
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}
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