ahmdrz

package main

import (
	"fmt"
	"reflect"
)

type Test struct {
	Name string
}

ahmdrz

//
// Please read http://codepodu.com/subdomains-with-golang/
// It's just copy and paste :smile:
//
//
// URLs : 
// http://admin.localhost:8080/admin/pathone
// http://admin.localhost:8080/admin/pathtwo
// http://analytics.localhost:8080/analytics/pathone
// http://analytics.localhost:8080/analytics/pathtwo

ahmdrz

// test project main.go
package main

import (
	"fmt"
	"net/http"
	"strconv"
	"time"
	"net/url"

ahmdrz

#!/bin/bash

# your ip address
ip_address="192.168.15.142"

function change_dns() {
    route add default gw 192.168.14.200
    echo "nameserver 80.191.216.2" > /etc/resolv.conf
    echo "nameserver 8.8.8.8" >> /etc/resolv.conf
    echo "nameserver 4.2.2.4" >> /etc/resolv.conf

ahmdrz

import serial
import time

def lsb(value):
    return value & 0xff

def msb(value):
    return value >> 8

ahmdrz

import json

class School:
    def __init__(self, name):
        self.name = name
        self.students = []

    def to_dict(self):
        return {
            'name': self.name,

ahmdrz

<div class="battery">
    <div id="battery_level" class="battery-level"></div>
</div>
<style>
    .battery:after {
        background-color: #fff;
        border: 2px solid #000;
        content: "";
        display: block;
        height: 16px;

ahmdrz

import numpy as np
from sklearn.cluster import KMeans
import matplotlib.pyplot as plt

first_random = -2 * np.random.rand(100, 2)
second_random = 1 + 2 * np.random.rand(50, 2)

dataset = np.concatenate((first_random, second_random))

plt.scatter(dataset[:, 0], dataset[:, 1])

ahmdrz

from sklearn.neighbors import KNeighborsClassifier

samples = [[0], [1], [2], [3]]
labels = [0, 0, 1, 1]
item_to_predict = [[1.1]]

model = KNeighborsClassifier(n_neighbors=3, metric='euclidean')
model.fit(samples, labels) 
predict = model.predict(item_to_predict)

ahmdrz

import cv2
import message_filters
from cv_bridge import CvBridge, CvBridgeError
from sensor_msgs.msg import Image


class DepthCameraStreamer:
    def __init__(self, image_topic="", depth_topic="", scale=1.0):
        self.frame = None
        self.depth = None