diagnostics-old/BatteryDiagnostics.py

@@ -1,55 +0,0 @@
-from pybricks.pupdevices import Motor, ColorSensor, UltrasonicSensor, ForceSensor
-from pybricks.parameters import Button, Color, Direction, Port, Side, Stop
-from pybricks.tools import run_task, multitask
-from pybricks.tools import wait, StopWatch
-from pybricks.robotics import DriveBase
-from pybricks.hubs import PrimeHub
-import umath
-# Initialize hub and devices
-hub = PrimeHub()
-class BatteryDiagnostics:
-    def __init__(self):
-        self.voltage = 0
-        self.current = 0
-    def printVoltage(self):
-        self.voltage = hub.battery.voltage()
-        if self.voltage > 7800:
-            print(f"Battery voltage is sufficient: {self.voltage}")
-        elif self.voltage < 7800 :
-            print(f"Charging needed: {self.voltage}")
-    def printCurrent(self):
-        self.current = hub.battery.current()
-        print("Battery current:", self.current)
-    def printAll(self):
-        timeelapsed = 0
-        voltageList = []
-        currentList = []
-        while True:
-            print("\n\n\n\n\n")
-            self.printVoltage()
-            voltageList.append(self.voltage)
-            self.printCurrent()
-            currentList.append(self.current)
-            wait(50)
-            timeelapsed += 50
-            
-            if(timeelapsed >= 3000):
-                break
-        print("--------------FINAL RESULTS OF BATTERY DIAGNOSTICS---------------")
-        print("Voltage deviation:", self.stdev(voltageList))
-        print("Current deviation:", self.stdev(currentList))
-    def stdev(self, vals):
-        data = vals
-        if len(data) < 2:
-            return 0
-        # Calculate the mean
-        mean = sum(data) / len(data)
-
-        # Calculate the variance (sum of squared differences from the mean, divided by n-1 for sample standard deviation)
-        variance = sum([(x - mean) ** 2 for x in data]) / float(len(data) - 1)
-        
-        # Calculate the standard deviation (square root of the variance)
-        std_dev_manual = umath.sqrt(variance)
-        
-
-        return (std_dev_manual)