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import time
import serial
import math
from math import atan,pi,floor
import matplotlib.pyplot as plt

def plot_lidar(distdict):   
    x =[0 for i in range(360)]
    y =[0 for i in range(360)]
    for angle in range(0,360):

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/dts-v1/;

/ {
	model = "Khadas VIM3";
	amlogic-dt-id = "g12b_kvim3";
	compatible = "amlogic, g12b";
	interrupt-parent = <0x1>;
	#address-cells = <0x2>;
	#size-cells = <0x2>;

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import RPi.GPIO as GPIO
import time
  
GPIO.setmode(GPIO.BCM)
  
GPIO_DIR1 = 23
GPIO_PWM1 = 24
GPIO_DIR2 = 27
GPIO_PWM2 = 22
  

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import RPi.GPIO as GPIO  
from time import sleep

GPIO.setmode(GPIO.BCM)

servoPin = 18

GPIO.setup(servoPin, GPIO.OUT) 

p = GPIO.PWM(servoPin, 50) # set to 50Hz

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import cv2
import numpy as np
import math

cap = cv2.VideoCapture(0)

size_x = 640
size_y = 480

cap.set(cv2.CAP_PROP_FRAME_WIDTH, size_x)

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import os
import sys
import requests
import json

tts_text = "안녕하세요 네이버"

client_id = "id"
client_secret = "secret"

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import pyaudio
import wave
import audioop
import math
import os

CHUNK = 1024
FORMAT = pyaudio.paInt16
CHANNELS = 2
RATE = 44100

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import requests
import json
api_key = "dd40631e0b2c53fdc84e1dffd1da95f6"
url = "http://api.openweathermap.org/data/2.5/weather?q=Seoul&appid={key}".format(key=api_key)

def main() :
    res = requests.get(url)
    res_json = json.loads(res.text)
    temperature = round(res_json["main"]["temp"] - 273, 1)
    humidity = round(res_json["main"]["humidity"])

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"""
This is a Python template for Alexa to get you building skills (conversations) quickly.
"""

from __future__ import print_function


# --------------- Helpers that build all of the responses ----------------------

def build_speechlet_response(title, output, reprompt_text, should_end_session):