main.py

import cv2
import pyautogui
import pytesseract
import numpy as np
from mss import mss
from PIL import Image
import os
import glob
import matplotlib.pyplot as plt
from sklearn.preprocessing import PolynomialFeatures
from sklearn.linear_model import LinearRegression
import pandas as pd
import random

import pyfirmata
from time import sleep

board = pyfirmata.Arduino('/dev/cu.usbserial-10')  # port
# board.digital[13].write(1) or write(0)

it = pyfirmata.util.Iterator(board)
it.start()

# motor a connections
enA1pin = 9
enA2pin = 10
in1pin = 8
in2pin = 7
# motor b connections
enB1pin = 2
enB2pin = 3
in3pin = 4
in4pin = 5

enA1 = board.get_pin(f"p:{enA1pin}:o")
enA2 = board.get_pin(f"p:{enA2pin}:o")
in1 = board.get_pin(f"d:{in1pin}:o")
in2 = board.get_pin(f"d:{in2pin}:o")
enB1 = board.get_pin(f"p:{enB1pin}:o")
enB2 = board.get_pin(f"p:{enB2pin}:o")
in3 = board.get_pin(f"d:{in3pin}:o")
in4 = board.get_pin(f"d:{in4pin}:o")


def write_digitals(v1, v2, v3, v4):
    in1.write(v1)
    in2.write(v2)
    in3.write(v3)
    in4.write(v4)


def directional_control():
    # set motors for max speed
    # pwm vals = 0 -> 255

    # turn on motors A and B
    write_digitals(1, 0, 1, 0)
    sleep(2)

    # change motor directions
    write_digitals(0, 1, 0, 1)
    sleep(2)

    # turn off motors
    write_digitals(0, 0, 0, 0)
    sleep(2)


def upshift(upshift_duration=.9):
    write_digitals(0, 1, 0, 0)
    sleep(upshift_duration)
    write_digitals(1, 0, 0, 0)
    sleep(upshift_duration)
    write_digitals(0, 0, 0, 0)


def downshift(downshift_duration=2):
    write_digitals(0, 0, 1, 0)
    sleep(downshift_duration)
    write_digitals(0, 0, 0, 1)
    sleep(downshift_duration)
    write_digitals(0, 0, 0, 0)


ratios = [rg / 11 for rg in [11, 13, 15, 17, 19, 21, 23, 26, 30, 34]]
wheel_circumference = 0.002136
torque_moe = 3
rpm_opt = 113.5
rpm_max = 150
degrees = 10

# startx, starty, endx, endy
z = 84
v_old = [1100, 575, 1500, 630]
v = [800, 1200, 1300, 1300]
w = [1300, 1868+z, 1608, 1902+z+20]
r = [1300, 1984+z, 1608, 2014+z+20]

rgear = 0


def pred(val):
    coeffs = [-0.0000002226, 0.00000370629, 0.959373]
    return poly_coeff(val, coeffs)


def poly_coeff(x, coeffs):
    y = 0
    y += coeffs[0]*x**4
    y += coeffs[1]*x**3
    y += coeffs[2]*x**1
    return y


def clear_data():
    folders_to_scrub = ['rpm', 'vel', 'wat', 'data']
    for i in folders_to_scrub:
        files = glob.glob(f'/Users/tarioyou/biking/isef_bike/{i}/*')
        for f in files:
            os.remove(f)
    with open('/Users/tarioyou/biking/isef_bike/output.txt', 'w') as f:
        f.write("")


def read_frame():
    im = pyautogui.screenshot()
    return im


def slice(im, starty, startx, endy, endx):
    grey = cv2.cvtColor(im, cv2.COLOR_BGR2GRAY)
    grey = grey[startx:endx, starty:endy]
    return grey


def read_number(img):
    # -c tessedit_char_whitelist=0123456789.
    cc = f'--psm 7 --oem 3 -c tessedit_char_whitelist=0123456789.WRPMkm/'
    text = pytesseract.image_to_string(
        img, lang='eng', config=cc).replace('\n', '')
    return text


def get_decision(vel, wat, rpm):
    if rpm == 0:
        return 0
    # get theoretical gear
    gear = speed_cad_to_gear(vel, rpm)
    print(f'theoretical gear = {gear}')
    with open('/Users/tarioyou/biking/isef_bike/output.txt', 'a') as f:
        f.write(f'theoretical gear = {gear}\n')

    # get closest matching gear
    gear = min(enumerate(ratios), key=lambda x: abs(x[1]-gear))[1]

    if gear == -1:
        return 0

    gear_index = ratios.index(gear)

    if gear != ratios[-1]:
        rpm_next = rpm * ratios[gear_index + 1] / gear
        if abs(gear * pred(rpm) - ratios[gear_index + 1] * pred(rpm_next)) < torque_moe:
            # torques same, so might as well go up
            return 1
        if rpm >= rpm_opt:
            # redline
            return 1

    if gear != ratios[0]:
        rpm_prev = rpm * ratios[gear_index - 1] / gear
        if rpm_prev < rpm_max:
            # switch down wont make rpm too high
            return -1

    return 0


def speed_cad_to_gear(vel, rpm):
    if rpm == 0:
        return -1
    return vel / wheel_circumference / 60 / rpm


def record():
    monitor_number = 1
    sct = mss()

    mon = sct.monitors[monitor_number]

    print(mon)

    # The screen part to capture
    monitor = {
        "top": mon["top"],  # 100px from the top
        "left": mon["left"],  # 100px from the left
        "width": mon["left"] + mon["width"],
        "height": mon["top"] + mon["height"],
        "mon": monitor_number,
    }

    i = 0

    vels = []
    wats = []
    rpms = []

    prev_wat = 0
    prev_vel = 0
    prev_rpm = 0

    while i < 5000000:
        print("runnning")
        sct_img = sct.grab(monitor)  # (monitor)
        sct_img = np.array(sct_img)

        cv2.imwrite(f'/Users/tarioyou/biking/isef_bike/data/s{i}.png', sct_img)

        # print(sct_img.shape)
        vel = slice(sct_img, v[0], v[1], v[2], v[3])
        wat = slice(sct_img, w[0], w[1], w[2], w[3])
        rpm = slice(sct_img, r[0], r[1], r[2], r[3])
        wat = cv2.bitwise_not(wat)
        rpm = cv2.bitwise_not(rpm)

        cv2.imwrite(f'/Users/tarioyou/biking/isef_bike/vel/vel{i}.png', vel)
        cv2.imwrite(f'/Users/tarioyou/biking/isef_bike/rpm/rpm{i}.png', rpm)
        cv2.imwrite(f'/Users/tarioyou/biking/isef_bike/wat/wat{i}.png', wat)

        print(f'{read_number(vel).split(" ")[0]=}\t{read_number(wat)=}\t{read_number(rpm)=}')

        vel_num = read_number(vel).split()[0]
        wat_num = read_number(wat).replace('W', '')
        # print(read_number(rpm))
        rpm_num = read_number(rpm).split()[0]

        vel_num = float(vel_num)
        wat_num = float(wat_num)
        rpm_num = float(rpm_num)

        if wat_num != 0:
            prev_wat = wat_num
        else:
            wat_num = prev_wat
        if vel_num != 0:
            prev_vel = vel_num
        else:
            vel_num = prev_vel
        if rpm_num != 0:
            prev_rpm = rpm_num
        else:
            rpm_num = prev_rpm

        decision = get_decision(vel_num, wat_num, rpm_num)
        if decision == 1:
            upshift()
            sleep(0.2)
        # elif decision == -1:
            # downshift()
            # sleep(0.2)

        # torque = wat_num * 9.554140127 / rpm_num

        with open('/Users/tarioyou/biking/isef_bike/output.txt', 'a') as f:
            f.write(f'{vel_num = }\t{wat_num = }\t{rpm_num = }\t{decision = }\t{decision = }\n')

        print(f'{vel_num = }\t{wat_num = }\t{rpm_num = }\t{decision = }\n')

        vels.append(vel_num)
        wats.append(wat_num)
        rpms.append(rpm_num)

        # cv2.imshow("vel", vel)
        # cv2.imshow("wat", wat)
        # cv2.imshow("rpm", rpm)

        i += 1

    print("f{vels = }")
    print("f{wats = }")
    print("f{rpms = }")


def get_data():
    # return
    # # put data here
    rpm = cadences1 + cadences2 + cadences3 + cadences4 + cadences5
    wat = powers1 + powers2 + powers3 + powers4 + powers5

    rpm = cadences3 = [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 57.0, 57.0, 57.0, 57.0, 57.0, 57.0, 57.0, 57.0, 57.0, 57.0, 57.0, 57.0, 57.0, 57.0, 57.0, 57.0, 57.0, 57.0, 57.0, 57.0, 57.0, 57.0, 57.0, 57.0, 57.0, 57.0, 57.0, 57.0, 57.0, 80.0, 80.0, 80.0, 80.0, 80.0, 80.0, 80.0, 80.0, 80.0, 80.0, 80.0, 80.0, 80.0, 80.0, 80.0, 80.0, 80.0, 80.0, 80.0, 80.0, 80.0, 80.0, 80.0, 80.0, 80.0, 80.0, 80.0, 80.0, 80.0, 92.0, 92.0, 92.0, 92.0, 92.0, 92.0, 92.0, 92.0, 92.0, 92.0, 92.0, 92.0, 92.0, 92.0, 92.0, 92.0, 92.0, 92.0, 92.0, 92.0, 92.0, 92.0, 92.0, 92.0, 92.0, 92.0, 92.0, 92.0, 92.0, 95.0, 95.0, 95.0, 95.0, 95.0, 95.0, 95.0, 95.0, 95.0, 95.0, 95.0, 95.0, 95.0, 95.0, 95.0, 95.0, 95.0, 95.0, 95.0, 95.0, 95.0, 95.0, 95.0, 95.0, 95.0, 95.0, 95.0, 95.0, 102.0, 102.0, 102.0, 102.0, 102.0, 102.0, 102.0, 102.0, 102.0, 102.0, 102.0, 102.0, 102.0, 102.0, 102.0, 102.0, 102.0, 102.0, 102.0, 102.0, 102.0, 102.0, 102.0, 102.0, 102.0, 102.0, 102.0, 102.0, 102.0, 102.0, 102.0, 102.0, 102.0, 102.0, 102.0, 108.0, 108.0, 108.0, 108.0, 108.0, 108.0, 108.0, 108.0, 108.0, 108.0, 108.0, 108.0, 108.0, 108.0, 108.0, 108.0, 108.0, 108.0, 108.0, 108.0, 108.0, 108.0, 108.0, 108.0, 108.0, 108.0, 108.0, 108.0, 108.0, 111.0, 111.0, 111.0, 111.0, 111.0, 111.0, 111.0, 111.0, 111.0, 111.0, 111.0, 111.0, 111.0, 111.0, 111.0, 111.0, 111.0, 111.0, 111.0, 111.0, 111.0, 111.0, 111.0, 111.0, 111.0, 111.0, 111.0, 111.0, 111.0, 109.0, 109.0, 109.0, 109.0, 109.0, 109.0, 109.0, 109.0, 109.0, 109.0, 109.0, 109.0, 109.0, 109.0, 109.0, 109.0, 109.0, 109.0, 109.0, 109.0, 109.0, 109.0, 109.0, 109.0, 109.0, 109.0, 109.0, 109.0, 109.0, 110.0, 110.0, 110.0, 110.0, 110.0, 110.0, 110.0, 110.0, 110.0, 110.0, 110.0, 110.0, 110.0, 110.0, 110.0, 110.0, 110.0, 110.0, 110.0, 110.0, 110.0, 110.0, 110.0, 110.0, 110.0, 110.0, 110.0, 110.0, 111.0, 111.0, 111.0, 111.0, 111.0, 111.0, 111.0, 111.0, 111.0, 111.0, 111.0, 111.0, 111.0, 111.0, 111.0, 111.0, 111.0, 111.0, 111.0, 111.0, 111.0, 111.0, 111.0, 111.0, 111.0, 111.0, 111.0, 111.0, 111.0, 103.0, 103.0, 103.0, 103.0, 103.0, 103.0, 103.0, 103.0, 103.0, 103.0, 103.0, 103.0, 103.0, 103.0, 103.0, 103.0, 103.0, 103.0, 103.0, 103.0, 103.0, 103.0, 103.0, 103.0, 103.0, 103.0, 103.0, 103.0, 103.0, 103.0, 103.0, 103.0, 103.0, 103.0, 103.0, 100.0, 100.0, 100.0, 100.0, 100.0, 100.0, 100.0, 100.0, 100.0, 100.0, 100.0, 100.0, 100.0, 100.0, 100.0, 100.0, 100.0, 100.0, 100.0, 100.0, 100.0, 100.0, 100.0, 100.0, 100.0, 100.0, 100.0, 100.0, 100.0, 97.0, 97.0, 97.0, 97.0, 97.0, 97.0, 97.0, 97.0, 97.0, 97.0, 97.0, 97.0, 97.0, 97.0, 97.0, 97.0, 97.0, 97.0, 97.0, 97.0, 97.0, 97.0, 97.0, 97.0, 97.0, 97.0, 97.0, 97.0, 97.0, 99.0, 99.0, 99.0, 99.0, 99.0, 99.0, 99.0, 99.0, 99.0, 99.0,
                       99.0, 99.0, 99.0, 99.0, 99.0, 99.0, 99.0, 99.0, 99.0, 99.0, 99.0, 99.0, 99.0, 99.0, 99.0, 99.0, 99.0, 99.0, 99.0, 101.0, 101.0, 101.0, 101.0, 101.0, 101.0, 101.0, 101.0, 101.0, 101.0, 101.0, 101.0, 101.0, 101.0, 101.0, 101.0, 101.0, 101.0, 101.0, 101.0, 101.0, 101.0, 101.0, 101.0, 101.0, 101.0, 101.0, 101.0, 105.0, 105.0, 105.0, 105.0, 105.0, 105.0, 105.0, 105.0, 105.0, 105.0, 105.0, 105.0, 105.0, 105.0, 105.0, 105.0, 105.0, 105.0, 105.0, 105.0, 105.0, 105.0, 105.0, 105.0, 105.0, 105.0, 105.0, 105.0, 105.0, 105.0, 105.0, 105.0, 105.0, 105.0, 105.0, 104.0, 104.0, 104.0, 104.0, 104.0, 104.0, 104.0, 104.0, 104.0, 104.0, 104.0, 104.0, 104.0, 104.0, 104.0, 104.0, 104.0, 104.0, 104.0, 104.0, 104.0, 104.0, 104.0, 104.0, 104.0, 104.0, 104.0, 104.0, 104.0, 105.0, 105.0, 105.0, 105.0, 105.0, 105.0, 105.0, 105.0, 105.0, 105.0, 105.0, 105.0, 105.0, 105.0, 105.0, 105.0, 105.0, 105.0, 105.0, 105.0, 105.0, 105.0, 105.0, 105.0, 105.0, 105.0, 105.0, 105.0, 105.0, 103.0, 103.0, 103.0, 103.0, 103.0, 103.0, 103.0, 103.0, 103.0, 103.0, 103.0, 103.0, 103.0, 103.0, 103.0, 103.0, 103.0, 103.0, 103.0, 103.0, 103.0, 103.0, 103.0, 103.0, 103.0, 103.0, 103.0, 103.0, 103.0, 104.0, 104.0, 104.0, 104.0, 104.0, 104.0, 104.0, 104.0, 104.0, 104.0, 104.0, 104.0, 104.0, 104.0, 104.0, 104.0, 104.0, 104.0, 104.0, 104.0, 104.0, 104.0, 104.0, 104.0, 104.0, 104.0, 104.0, 104.0, 104.0, 104.0, 104.0, 104.0, 104.0, 104.0, 104.0, 104.0, 104.0, 104.0, 104.0, 104.0, 104.0, 104.0, 104.0, 104.0, 104.0, 104.0, 104.0, 104.0, 104.0, 104.0, 104.0, 104.0, 104.0, 104.0, 104.0, 104.0, 104.0, 104.0, 104.0, 104.0, 104.0, 104.0, 104.0, 104.0, 97.0, 97.0, 97.0, 97.0, 97.0, 97.0, 97.0, 97.0, 97.0, 97.0, 97.0, 97.0, 97.0, 97.0, 97.0, 97.0, 97.0, 97.0, 97.0, 97.0, 97.0, 97.0, 97.0, 97.0, 97.0, 97.0, 97.0, 97.0, 96.0, 96.0, 96.0, 96.0, 96.0, 96.0, 96.0, 96.0, 96.0, 96.0, 96.0, 96.0, 96.0, 96.0, 96.0, 96.0, 96.0, 96.0, 96.0, 96.0, 96.0, 96.0, 96.0, 96.0, 96.0, 96.0, 96.0, 96.0, 96.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0][:609]
    wat = powers3 = [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 73.0, 73.0, 73.0, 73.0, 73.0, 73.0, 73.0, 73.0, 73.0, 73.0, 73.0, 73.0, 73.0, 73.0, 73.0, 73.0, 73.0, 73.0, 73.0, 73.0, 73.0, 73.0, 73.0, 73.0, 73.0, 73.0, 73.0, 73.0, 73.0, 73.0, 73.0, 73.0, 73.0, 73.0, 73.0, 324.0, 324.0, 324.0, 324.0, 324.0, 324.0, 324.0, 324.0, 324.0, 324.0, 324.0, 324.0, 324.0, 324.0, 324.0, 324.0, 324.0, 324.0, 324.0, 324.0, 324.0, 324.0, 324.0, 324.0, 324.0, 324.0, 324.0, 324.0, 324.0, 563.0, 563.0, 563.0, 563.0, 563.0, 563.0, 563.0, 563.0, 563.0, 563.0, 563.0, 563.0, 563.0, 563.0, 563.0, 563.0, 563.0, 563.0, 563.0, 563.0, 563.0, 563.0, 563.0, 563.0, 563.0, 563.0, 563.0, 563.0, 563.0, 723.0, 723.0, 723.0, 723.0, 723.0, 723.0, 723.0, 723.0, 723.0, 723.0, 723.0, 723.0, 723.0, 723.0, 723.0, 723.0, 723.0, 723.0, 723.0, 723.0, 723.0, 723.0, 723.0, 723.0, 723.0, 723.0, 723.0, 723.0, 723.0, 863.0, 863.0, 863.0, 863.0, 863.0, 863.0, 863.0, 863.0, 863.0, 863.0, 863.0, 863.0, 863.0, 863.0, 863.0, 863.0, 863.0, 863.0, 863.0, 863.0, 863.0, 863.0, 863.0, 863.0, 863.0, 863.0, 863.0, 863.0, 900.0, 900.0, 900.0, 900.0, 900.0, 900.0, 900.0, 900.0, 900.0, 900.0, 900.0, 900.0, 900.0, 900.0, 900.0, 900.0, 900.0, 900.0, 900.0, 900.0, 900.0, 900.0, 900.0, 900.0, 900.0, 900.0, 900.0, 900.0, 900.0, 900.0, 900.0, 900.0, 900.0, 900.0, 900.0, 892.0, 892.0, 892.0, 892.0, 892.0, 892.0, 892.0, 892.0, 892.0, 892.0, 892.0, 892.0, 892.0, 892.0, 892.0, 892.0, 892.0, 892.0, 892.0, 892.0, 892.0, 892.0, 892.0, 892.0, 892.0, 892.0, 892.0, 892.0, 892.0, 950.0, 950.0, 950.0, 950.0, 950.0, 950.0, 950.0, 950.0, 950.0, 950.0, 950.0, 950.0, 950.0, 950.0, 950.0, 950.0, 950.0, 950.0, 950.0, 950.0, 950.0, 950.0, 950.0, 950.0, 950.0, 950.0, 950.0, 950.0, 950.0, 922.0, 922.0, 922.0, 922.0, 922.0, 922.0, 922.0, 922.0, 922.0, 922.0, 922.0, 922.0, 922.0, 922.0, 922.0, 922.0, 922.0, 922.0, 922.0, 922.0, 922.0, 922.0, 922.0, 922.0, 922.0, 922.0, 922.0, 922.0, 922.0, 838.0, 838.0, 838.0, 838.0, 838.0, 838.0, 838.0, 838.0, 838.0, 838.0, 838.0, 838.0, 838.0, 838.0, 838.0, 838.0, 838.0, 838.0, 838.0, 838.0, 838.0, 838.0, 838.0, 838.0, 838.0, 838.0, 838.0, 838.0, 852.0, 852.0, 852.0, 852.0, 852.0, 852.0, 852.0, 852.0, 852.0, 852.0, 852.0, 852.0, 852.0, 852.0, 852.0, 852.0, 852.0, 852.0, 852.0, 852.0, 852.0, 852.0, 852.0, 852.0, 852.0, 852.0, 852.0, 852.0, 852.0, 552.0, 552.0, 552.0, 552.0, 552.0, 552.0, 552.0, 552.0, 552.0, 552.0, 552.0, 552.0, 552.0, 552.0, 552.0, 552.0, 552.0, 552.0, 552.0, 552.0, 552.0, 552.0, 552.0, 552.0, 552.0, 552.0, 552.0, 552.0, 552.0, 552.0, 552.0, 552.0, 552.0, 552.0, 552.0, 691.0, 691.0, 691.0, 691.0, 691.0, 691.0, 691.0, 691.0, 691.0, 691.0, 691.0, 691.0, 691.0, 691.0, 691.0, 691.0, 691.0, 691.0, 691.0, 691.0, 691.0, 691.0, 691.0, 691.0, 691.0, 691.0, 691.0, 691.0, 691.0, 776.0, 776.0, 776.0, 776.0, 776.0, 776.0, 776.0, 776.0, 776.0, 776.0, 776.0, 776.0, 776.0, 776.0, 776.0, 776.0, 776.0, 776.0, 776.0, 776.0, 776.0, 776.0, 776.0, 776.0, 776.0, 776.0, 776.0, 776.0, 776.0, 771.0, 771.0,
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                       108.0, 108.0, 108.0, 108.0, 108.0, 108.0, 108.0, 108.0, 108.0, 108.0, 108.0, 108.0, 108.0, 108.0, 108.0, 108.0, 108.0, 108.0, 108.0, 108.0, 108.0, 108.0, 108.0, 108.0, 108.0, 108.0, 108.0, 108.0, 108.0, 108.0, 108.0, 108.0, 108.0, 108.0, 108.0, 108.0, 108.0, 108.0, 108.0, 108.0, 108.0, 108.0, 108.0, 108.0, 108.0, 108.0, 108.0, 107.0, 107.0, 107.0, 107.0, 107.0, 107.0, 107.0, 107.0, 107.0, 107.0, 107.0, 107.0, 107.0, 107.0, 107.0, 107.0, 107.0, 107.0, 107.0, 107.0, 107.0, 107.0, 107.0, 107.0, 107.0, 107.0, 107.0, 107.0, 107.0, 106.0, 106.0, 106.0, 106.0, 106.0, 106.0, 106.0, 106.0, 106.0, 106.0, 106.0, 106.0, 106.0, 106.0, 106.0, 106.0, 106.0, 106.0, 106.0, 106.0, 106.0, 106.0, 106.0, 106.0, 106.0, 106.0, 106.0, 106.0, 106.0, 106.0, 104.0, 104.0, 104.0, 104.0, 104.0, 104.0, 104.0, 104.0, 104.0, 104.0, 104.0, 104.0, 104.0, 104.0, 104.0, 104.0, 104.0, 104.0, 104.0, 104.0, 104.0, 104.0, 104.0, 104.0, 104.0, 104.0, 104.0, 104.0, 104.0, 104.0, 104.0, 104.0, 104.0, 104.0, 104.0, 105.0, 105.0, 105.0, 105.0, 105.0, 105.0, 105.0, 105.0, 105.0, 105.0, 105.0, 105.0, 105.0, 105.0, 105.0, 105.0, 105.0, 105.0, 105.0, 105.0, 105.0, 105.0, 105.0, 105.0, 105.0, 105.0, 105.0, 105.0, 105.0, 101.0, 101.0, 101.0, 101.0, 101.0, 101.0, 101.0, 101.0, 101.0, 101.0, 101.0, 101.0, 101.0, 101.0, 101.0, 101.0, 101.0, 101.0, 101.0, 101.0, 101.0, 101.0, 101.0, 101.0, 101.0, 101.0, 101.0, 101.0, 101.0, 98.0, 98.0, 98.0, 98.0, 98.0, 98.0, 98.0, 98.0, 98.0, 98.0, 98.0, 98.0, 98.0, 98.0, 98.0, 98.0, 98.0, 98.0, 98.0, 98.0, 98.0, 98.0, 98.0, 98.0, 98.0, 98.0, 98.0, 98.0, 98.0, 98.0, 98.0, 98.0, 98.0, 98.0, 98.0, 98.0, 98.0, 98.0, 98.0, 98.0, 98.0, 98.0, 98.0, 98.0, 98.0, 98.0, 98.0, 98.0, 98.0, 98.0, 98.0, 98.0, 98.0, 98.0, 98.0, 98.0, 98.0, 98.0, 98.0, 92.0, 92.0, 92.0, 92.0, 92.0, 92.0, 92.0, 92.0, 92.0, 92.0, 92.0, 92.0, 92.0, 92.0, 92.0, 92.0, 92.0, 92.0, 92.0, 92.0, 92.0, 92.0, 92.0, 92.0, 92.0, 92.0, 92.0, 92.0, 92.0, 83.0, 83.0, 83.0, 83.0, 83.0, 83.0, 83.0, 83.0, 83.0, 83.0, 83.0, 83.0, 83.0, 83.0, 83.0, 83.0, 83.0, 83.0, 83.0, 83.0, 83.0, 83.0, 83.0, 83.0, 83.0, 83.0, 83.0, 83.0, 83.0, 83.0, 71.0, 71.0, 71.0, 71.0, 71.0, 71.0, 71.0, 71.0, 71.0, 71.0, 71.0, 71.0, 71.0, 71.0, 71.0, 71.0, 71.0, 71.0, 71.0, 71.0, 71.0, 71.0, 71.0, 71.0, 71.0, 71.0, 71.0, 71.0, 71.0, 71.0, 71.0, 71.0, 71.0, 71.0, 71.0, 60.0, 60.0, 60.0, 60.0, 60.0, 60.0, 60.0, 60.0, 60.0, 60.0, 60.0, 60.0, 60.0, 60.0, 60.0, 60.0, 60.0, 60.0, 60.0, 60.0, 60.0, 60.0, 60.0, 60.0, 60.0, 60.0, 60.0, 60.0, 60.0, 52.0, 52.0, 52.0, 52.0, 52.0, 52.0, 52.0, 52.0, 52.0, 52.0, 52.0, 52.0, 52.0, 52.0, 52.0, 52.0, 52.0, 52.0, 52.0, 52.0, 52.0, 52.0, 52.0, 52.0, 52.0, 52.0, 52.0, 52.0, 52.0, 48.0, 48.0, 48.0, 48.0, 48.0, 48.0, 48.0, 48.0, 48.0, 48.0, 48.0, 48.0, 48.0, 48.0, 48.0, 48.0, 48.0, 48.0, 48.0, 48.0, 48.0, 48.0, 48.0, 48.0, 48.0, 48.0, 48.0, 48.0, 48.0, 44.0, 44.0, 44.0, 44.0, 44.0, 44.0, 44.0, 44.0, 44.0, 44.0, 44.0, 44.0, 44.0, 44.0, 44.0, 44.0, 44.0, 44.0, 44.0, 44.0, 44.0, 44.0, 44.0, 44.0, 44.0, 44.0, 44.0, 44.0, 44.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 43.0, 43.0, 43.0, 43.0, 43.0, 43.0, 43.0, 43.0, 43.0, 43.0, 43.0, 43.0, 43.0, 43.0, 43.0, 43.0, 43.0, 43.0, 43.0, 43.0, 43.0, 43.0, 43.0, 43.0, 43.0, 43.0, 43.0, 43.0, 43.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0][:667]
    wat = powers5 = [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 4.0, 4.0, 4.0, 4.0, 4.0, 4.0, 4.0, 4.0, 4.0, 4.0, 4.0, 4.0, 4.0, 4.0, 4.0, 4.0, 4.0, 4.0, 4.0, 4.0, 4.0, 4.0, 4.0, 4.0, 4.0, 4.0, 4.0, 4.0, 4.0, 224.0, 224.0, 224.0, 224.0, 224.0, 224.0, 224.0, 224.0, 224.0, 224.0, 224.0, 224.0, 224.0, 224.0, 224.0, 224.0, 224.0, 224.0, 224.0, 224.0, 224.0, 224.0, 224.0, 224.0, 224.0, 224.0, 224.0, 224.0, 224.0, 379.0, 379.0, 379.0, 379.0, 379.0, 379.0, 379.0, 379.0, 379.0, 379.0, 379.0, 379.0, 379.0, 379.0, 379.0, 379.0, 379.0, 379.0, 379.0, 379.0, 379.0, 379.0, 379.0, 379.0, 379.0, 379.0, 379.0, 379.0, 379.0, 379.0, 642.0, 642.0, 642.0, 642.0, 642.0, 642.0, 642.0, 642.0, 642.0, 642.0, 642.0, 642.0, 642.0, 642.0, 642.0, 642.0, 642.0, 642.0, 642.0, 642.0, 642.0, 642.0, 642.0, 642.0, 642.0, 642.0, 642.0, 642.0, 642.0, 733.0, 733.0, 733.0, 733.0, 733.0, 733.0, 733.0, 733.0, 733.0, 733.0, 733.0, 733.0, 733.0, 733.0, 733.0, 733.0, 733.0, 733.0, 733.0, 733.0, 733.0, 733.0, 733.0, 733.0, 733.0, 733.0, 733.0, 733.0, 733.0, 901.0, 901.0, 901.0, 901.0, 901.0, 901.0, 901.0, 901.0, 901.0, 901.0, 901.0, 901.0, 901.0, 901.0, 901.0, 901.0, 901.0, 901.0, 901.0, 901.0, 901.0, 901.0, 901.0, 901.0, 901.0, 901.0, 901.0, 901.0, 901.0, 901.0, 901.0, 901.0, 901.0, 901.0, 901.0, 901.0, 901.0, 901.0, 901.0, 901.0, 901.0, 901.0, 901.0, 901.0, 901.0, 901.0, 901.0, 797.0, 797.0, 797.0, 797.0, 797.0, 797.0, 797.0, 797.0, 797.0, 797.0, 797.0, 797.0, 797.0, 797.0, 797.0, 797.0, 797.0, 804.0, 804.0, 804.0, 804.0, 804.0, 804.0, 804.0, 804.0, 804.0, 804.0, 804.0, 804.0, 804.0, 804.0, 804.0, 804.0, 804.0, 804.0, 804.0, 804.0, 804.0, 804.0, 804.0, 804.0, 804.0, 804.0, 804.0, 804.0, 804.0, 855.0, 855.0, 855.0, 855.0, 855.0, 855.0, 855.0, 855.0, 855.0, 855.0, 855.0, 855.0, 855.0, 855.0, 855.0, 855.0, 855.0, 855.0, 855.0, 855.0, 855.0, 855.0, 855.0, 855.0, 855.0, 855.0, 855.0, 855.0, 855.0, 855.0, 772.0, 772.0, 772.0, 772.0, 772.0, 772.0, 772.0, 772.0, 772.0, 772.0, 772.0, 772.0, 772.0, 772.0, 772.0, 772.0, 772.0, 772.0, 772.0, 772.0, 772.0, 772.0, 772.0, 772.0, 772.0, 772.0, 772.0, 772.0, 772.0, 673.0, 673.0, 673.0, 673.0, 673.0, 673.0, 673.0, 673.0, 673.0, 673.0, 673.0, 673.0, 673.0, 673.0, 673.0, 673.0, 673.0, 673.0, 673.0, 673.0, 673.0, 673.0, 673.0, 673.0, 673.0, 673.0, 673.0, 673.0, 673.0, 686.0, 686.0, 686.0, 686.0, 686.0, 686.0, 686.0, 686.0, 686.0, 686.0, 686.0, 686.0, 686.0, 686.0, 686.0, 686.0, 686.0, 686.0, 686.0, 686.0, 686.0, 686.0, 686.0, 686.0, 686.0, 686.0, 686.0, 686.0, 686.0, 686.0, 554.0, 554.0, 554.0, 554.0, 554.0, 554.0, 554.0, 554.0, 554.0, 554.0, 554.0, 554.0, 554.0, 554.0, 554.0, 554.0, 554.0, 554.0, 554.0, 554.0, 554.0, 554.0, 554.0, 554.0, 554.0, 554.0, 554.0, 554.0, 554.0, 633.0, 633.0, 633.0, 633.0, 633.0, 633.0, 633.0, 633.0, 633.0, 633.0, 633.0, 633.0, 633.0, 633.0, 633.0, 633.0, 633.0, 633.0, 633.0, 633.0, 633.0, 633.0, 633.0, 633.0, 633.0, 633.0, 633.0, 633.0, 633.0, 633.0, 633.0, 633.0, 633.0, 633.0, 633.0, 624.0, 624.0, 624.0, 624.0, 624.0, 624.0, 624.0, 624.0, 624.0, 624.0, 624.0, 624.0, 624.0, 624.0, 624.0, 624.0, 624.0, 624.0, 624.0, 624.0, 624.0, 624.0, 624.0, 624.0, 624.0, 624.0, 624.0, 624.0, 624.0, 645.0, 645.0, 645.0, 645.0, 645.0, 645.0, 645.0, 645.0, 645.0, 645.0, 645.0, 645.0, 645.0, 645.0, 645.0, 645.0, 645.0, 645.0, 645.0, 645.0, 645.0, 645.0, 645.0, 645.0, 645.0, 645.0, 645.0, 645.0, 645.0, 645.0, 671.0, 671.0, 671.0, 671.0, 671.0, 671.0, 671.0, 671.0, 671.0, 671.0, 671.0, 671.0, 671.0, 671.0, 671.0, 671.0, 671.0, 671.0, 671.0, 671.0, 671.0, 671.0, 671.0, 671.0, 671.0, 671.0,
                     671.0, 671.0, 671.0, 569.0, 569.0, 569.0, 569.0, 569.0, 569.0, 569.0, 569.0, 569.0, 569.0, 569.0, 569.0, 569.0, 569.0, 569.0, 569.0, 569.0, 569.0, 569.0, 569.0, 569.0, 569.0, 569.0, 569.0, 569.0, 569.0, 569.0, 569.0, 569.0, 569.0, 569.0, 569.0, 569.0, 569.0, 569.0, 433.0, 433.0, 433.0, 433.0, 433.0, 433.0, 433.0, 433.0, 433.0, 433.0, 433.0, 433.0, 433.0, 433.0, 433.0, 433.0, 433.0, 433.0, 433.0, 433.0, 433.0, 433.0, 433.0, 500.0, 500.0, 500.0, 500.0, 500.0, 500.0, 500.0, 500.0, 500.0, 500.0, 500.0, 500.0, 500.0, 500.0, 500.0, 500.0, 500.0, 500.0, 500.0, 500.0, 500.0, 500.0, 500.0, 500.0, 500.0, 500.0, 500.0, 500.0, 500.0, 650.0, 650.0, 650.0, 650.0, 650.0, 650.0, 650.0, 650.0, 650.0, 650.0, 650.0, 650.0, 650.0, 650.0, 650.0, 650.0, 650.0, 650.0, 650.0, 650.0, 650.0, 650.0, 650.0, 650.0, 650.0, 650.0, 650.0, 650.0, 650.0, 650.0, 615.0, 615.0, 615.0, 615.0, 615.0, 615.0, 615.0, 615.0, 615.0, 615.0, 615.0, 615.0, 615.0, 615.0, 615.0, 615.0, 615.0, 615.0, 615.0, 615.0, 615.0, 615.0, 615.0, 615.0, 615.0, 615.0, 615.0, 615.0, 615.0, 615.0, 615.0, 615.0, 615.0, 615.0, 615.0, 571.0, 571.0, 571.0, 571.0, 571.0, 571.0, 571.0, 571.0, 571.0, 571.0, 571.0, 571.0, 571.0, 571.0, 571.0, 571.0, 571.0, 571.0, 571.0, 571.0, 571.0, 571.0, 571.0, 571.0, 571.0, 571.0, 571.0, 571.0, 571.0, 554.0, 554.0, 554.0, 554.0, 554.0, 554.0, 554.0, 554.0, 554.0, 554.0, 554.0, 554.0, 554.0, 554.0, 554.0, 554.0, 554.0, 554.0, 554.0, 554.0, 554.0, 554.0, 554.0, 554.0, 554.0, 554.0, 554.0, 554.0, 554.0, 477.0, 477.0, 477.0, 477.0, 477.0, 477.0, 477.0, 477.0, 477.0, 477.0, 477.0, 477.0, 477.0, 477.0, 477.0, 477.0, 477.0, 477.0, 477.0, 477.0, 477.0, 477.0, 477.0, 477.0, 477.0, 477.0, 477.0, 477.0, 477.0, 333.0, 333.0, 333.0, 333.0, 333.0, 333.0, 333.0, 333.0, 333.0, 333.0, 333.0, 333.0, 333.0, 333.0, 333.0, 333.0, 333.0, 333.0, 333.0, 333.0, 333.0, 333.0, 333.0, 333.0, 333.0, 333.0, 333.0, 333.0, 333.0, 333.0, 230.0, 230.0, 230.0, 230.0, 230.0, 230.0, 230.0, 230.0, 230.0, 230.0, 230.0, 230.0, 230.0, 230.0, 230.0, 230.0, 230.0, 230.0, 230.0, 230.0, 230.0, 230.0, 230.0, 230.0, 230.0, 230.0, 230.0, 230.0, 230.0, 35.0, 35.0, 35.0, 35.0, 35.0, 35.0, 35.0, 35.0, 35.0, 35.0, 35.0, 35.0, 35.0, 35.0, 35.0, 35.0, 35.0, 35.0, 35.0, 35.0, 35.0, 35.0, 35.0, 35.0, 35.0, 35.0, 35.0, 35.0, 35.0, 35.0, 14.0, 14.0, 14.0, 14.0, 14.0, 14.0, 14.0, 14.0, 14.0, 14.0, 14.0, 14.0, 14.0, 14.0, 14.0, 14.0, 14.0, 14.0, 14.0, 14.0, 14.0, 14.0, 14.0, 14.0, 14.0, 14.0, 14.0, 14.0, 14.0, 14.0, 14.0, 14.0, 14.0, 14.0, 14.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 7.0, 7.0, 7.0, 7.0, 7.0, 7.0, 7.0, 7.0, 7.0, 7.0, 7.0, 7.0, 7.0, 7.0, 7.0, 7.0, 7.0, 7.0, 7.0, 7.0, 7.0, 7.0, 7.0, 7.0, 7.0, 7.0, 7.0, 7.0, 7.0, 6.0, 6.0, 6.0, 6.0, 6.0, 6.0, 6.0, 6.0, 6.0, 6.0, 6.0, 6.0, 6.0, 6.0, 6.0, 6.0, 6.0, 6.0, 6.0, 6.0, 6.0, 6.0, 6.0, 6.0, 6.0, 6.0, 6.0, 6.0, 6.0, 5.0, 5.0, 5.0, 5.0, 5.0, 5.0, 5.0, 5.0, 5.0, 5.0, 5.0, 5.0, 5.0, 5.0, 5.0, 5.0, 5.0, 5.0, 5.0, 5.0, 5.0, 5.0, 5.0, 5.0, 5.0, 5.0, 5.0, 5.0, 5.0, 5.0, 5.0, 5.0, 5.0, 5.0, 5.0, 5.0, 5.0, 5.0, 5.0, 5.0, 5.0, 5.0, 5.0, 5.0, 5.0, 5.0, 5.0, 5.0, 5.0, 5.0, 5.0, 5.0, 5.0, 5.0, 5.0, 5.0, 5.0, 5.0, 5.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0][:667]

    data = []

    for i in range(len(rpm)):
        data.append([rpm[i], wat[i]])

    df = pd.DataFrame(data, columns=['rpm', 'wat'])

    df.to_csv('data_prev3.csv')


if __name__ == "__main__":
    # MAC: tencent meeting = 2/3 left
    # Android top 2/3: speedometer
    # Android bottom 1/3: magene utilities

    # get_data()

    clear_data()
    record()