# Define the addition function

def add(a, b):

    return a + b

# Define the subtraction function

def subtract(a, b):

    return a - b

# Define the multiplication function

def multiply(a, b):

    return a * b

# Define the division function

def divide(a, b):

    return a / b

# Get input from user

num1 = float(input("Enter the first number: "))

num2 = float(input("Enter the second number: "))

# Display the available operations

print("Select an operation:")

print("1. Addition")

print("2. Subtraction")

print("3. Multiplication")

print("4. Division")

# Get the user's choice of operation

choice = int(input("Enter your choice (1/2/3/4): "))

# Perform the selected operation and display the result

if choice == 1:

    print(num1, "+", num2, "=", add(num1, num2))

elif choice == 2:

    print(num1, "-", num2, "=", subtract(num1, num2))

elif choice == 3:

    print(num1, "*", num2, "=", multiply(num1, num2))

elif choice == 4:

    print(num1, "/", num2, "=", divide(num1, num2))

else:

    print("Invalid choice. Please try again.")

def math_conversion():

    print("Select a conversion type:")

    print("1. Fahrenheit to Celsius")

    print("2. Celsius to Fahrenheit")

    print("3. Miles to kilometers")

    print("4. Inches to centimeters")

    print("5. Feet to meters")

    print("6. Yards to meters")

    print("7. Pounds to kilograms")

    print("8. Ounces to grams")

    print("9. Gallons to liters")

    choice = input("Enter choice (1-9): ")

    if choice == '1':

        fahrenheit = float(input("Enter temperature in Fahrenheit: "))

        celsius = (fahrenheit - 32) * 5/9

        print(f"{fahrenheit}°F is equal to {celsius:.2f}°C")

    elif choice == '2':

        celsius = float(input("Enter temperature in Celsius: "))

        fahrenheit = (celsius * 9/5) + 32

        print(f"{celsius}°C is equal to {fahrenheit:.2f}°F")

    elif choice == '3':

        miles = float(input("Enter distance in miles: "))

        kilometers = miles * 1.60934

        print(f"{miles} miles is equal to {kilometers:.2f} kilometers")

    elif choice == '4':

        inches = float(input("Enter length in inches: "))

        centimeters = inches * 2.54

        print(f"{inches} inches is equal to {centimeters:.2f} centimeters")

    elif choice == '5':

        feet = float(input("Enter length in feet: "))

        meters = feet * 0.3048

        print(f"{feet} feet is equal to {meters:.2f} meters")

    elif choice == '6':

        yards = float(input("Enter length in yards: "))

        meters = yards * 0.9144

        print(f"{yards} yards is equal to {meters:.2f} meters")

    elif choice == '7':

        pounds = float(input("Enter weight in pounds: "))

        kilograms = pounds * 0.453592

        print(f"{pounds} pounds is equal to {kilograms:.2f} kilograms")

    elif choice == '8':

        ounces = float(input("Enter weight in ounces: "))

        grams = ounces * 28.3495

        print(f"{ounces} ounces is equal to {grams:.2f} grams")

    elif choice == '9':

        gallons = float(input("Enter volume in gallons: "))

        liters = gallons * 3.78541

        print(f"{gallons} gallons is equal to {liters:.2f} liters")

    else:

        print("Invalid choice")

  import RPi.GPIO as GPIO

import time

GPIO.setmode(GPIO.BCM)

GPIO.setwarnings(False)

GPIO.setup(18, GPIO.OUT)

while True:

    GPIO.output(18, GPIO.HIGH)

    time.sleep(1)

    GPIO.output(18, GPIO.LOW)

    time.sleep(1)

import csv

import random

from ColumnEnum import ColumnEnum

import HDBSCAN

import copy

artistEnum = {}

def main():

    data = loadData()

    cData = cleanData(copy.deepcopy(data))

    #print(str(data))

    modelTuple = HDBSCAN.TrainModel(cData)

    while True:

        index = int(len(data) * random.random())

        print("input song: " + data[index][ColumnEnum.name.value] + " by " + data[index][ColumnEnum.artists.value])

        ret = HDBSCAN.GetRecommendation(modelTuple, cData[index], data)

        if ret != -1:

            input("output song: " + ret[ColumnEnum.name.value] + " by " + ret[ColumnEnum.artists.value])

        else:

            input("press enter to continue")

# loads sample data from file

def loadData():

    data = []

    with open('Dataset/spotify.csv', newline='\r\n', encoding='utf8') as csvfile:

        reader = csv.reader(csvfile)

        skipFirst = True

        for row in reader:

            if skipFirst:

                skipFirst = False

                continue

            data.append(row)

    return data

# converts data to all numeric values for training and testing

# artist names will be added to a dictionary for consistency

# TODO: output this dictionary to a file

# TODO: load dictionary from file on startup

def cleanData(data):

    for row in data:

        # editing items in descending index order to avoid messing up indexing

        # avoiding converting date to numeric plus year covers information

        row.pop(ColumnEnum.release_date.value)

        # name has no relevance on song similarity (in my opinion)

        row.pop(ColumnEnum.name.value)

        # ID is not relevany

        row.pop(ColumnEnum.id.value)

        # convert artist to enumeration

        if row[ColumnEnum.artists.value] not in artistEnum:

            val = len(artistEnum)

            artistEnum[row[ColumnEnum.artists.value]] = val

            row[ColumnEnum.artists.value] = val

        else:

            val = artistEnum[row[ColumnEnum.artists.value]]

            row[ColumnEnum.artists.value] = val

        # cast all data in list to floats

        i = 0

        while i < len(row):

            row[i] = float(row[i])

            i = i + 1

    # data = data[0:1000]

    return data

if __name__ == "__main__":

    main()