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‎Client side.txt

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from pubnub.pnconfiguration import PNConfiguration
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from pubnub.pubnub import PubNub
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pnconfig = PNConfiguration()
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pnconfig.subscribe_key = "sub-c-f8ee4c62-2497-11e8-a183-761142583d66"
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pnconfig.publish_key = "pub-c-89c7fbd5-76f5-4c6a-8511-c153e7517db4"
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pnconfig.ssl = False
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pubnub = PubNub(pnconfig)

‎Listeners.txt

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from pubnub.callbacks import SubscribeCallback
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from pubnub.enums import PNOperationType, PNStatusCategory
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class MySubscribeCallback(SubscribeCallback):
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def status(self, pubnub, status):
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pass
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if status.operation == PNOperationType.PNSubscribeOperation \
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or status.operation == PNOperationType.PNUnsubscribeOperation:
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if status.category == PNStatusCategory.PNConnectedCategory:
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pass
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elif status.category == PNStatusCategory.PNReconnectedCategory:
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pass
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elif status.category == PNStatusCategory.PNDisconnectedCategory:
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pass
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elif status.category == PNStatusCategory.PNUnexpectedDisconnectCategory:
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pass
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elif status.category == PNStatusCategory.PNAccessDeniedCategory:
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pass
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else:
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pass
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elif status.operation == PNOperationType.PNSubscribeOperation:
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heartbeart config>
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if status.is_error():
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pass
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else:
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pass
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else:
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pass
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def presence(self, pubnub, presence):
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pass
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def message(self, pubnub, message):
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pass
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pubnub.add_listener(MySubscribeCallback())

‎PHP pages/Fourth.php

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<?php
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include('_con.php');
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// Create connection
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// Check connection
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if ($dbcon->connect_error) {
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die("Connection failed: " . $dbcon->connect_error);
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}
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$sql = "SELECT Date,Credits FROM user";
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$result = $dbcon->query($sql);
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if ($result->num_rows > 0) {
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// output ,data of each row
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echo "<table><th>Date Credit</th>";
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while($row = $result->fetch_assoc()) {
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echo "<tr><td>";
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echo $row['Date'];
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echo "</td><td>";
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echo $row['Credits'];
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echo "</td></tr>";
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}
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echo"</table>";
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} else {
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echo "0 results";

‎PHP pages/Third.php

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<html>
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<?php
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if($_POST["Select"]=="Credits")
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{
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echo "<h2>Your Latest credits for Waste</h2>";
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echo "<li class=n3><a href='result.php'>Click to check your score</a></li></ul>";
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}
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else
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{
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echo "<h2>Your Current History </h2>";
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echo "<li class=n3><a href='Fourth.php'> Check Your Credit History Here</a></li></ul>";
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}
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?>
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</html>

‎PHP pages/_con.php

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<?php
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DEFINE ('DB_HOST','localhost');
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DEFINE ('DB_USER','id3718151_iotdata');
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DEFINE('DB_PSWD','12345');
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DEFINE('DB_NAME','id3718151_iotdata');
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$dbcon = mysqli_connect(DB_HOST,DB_USER,DB_PSWD,DB_NAME);
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?>

‎PHP pages/index.php

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<!doctype html>
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<html>
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<head>
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<meta charset="utf-8">
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<title>Transparent Login Form</title>
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<link rel="stylesheet" href="style.css">
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</head>
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<body>
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<div class="loginBox">
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<img src="user.png" class="user">
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<h2>Log In Here</h2>
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<form action="second.php" method="post">
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<p>Username</p>
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<input type="text" name="UserName" placeholder="Enter Username" value="UserName">
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<p>Password</p>
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<input type="password" name="Password" placeholder="••••••" value="Password">
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<input type="submit" name="submit" value="submit">
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<a href="#">Forget Password</a>
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</form>
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</div>
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</body>
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</html>

‎PHP pages/results.php

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<html>
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<body>
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<b>Your Credit for this cycle is 17.0 </b>;
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<h1>Thank you and keep recycling</h1>;
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</body>
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</html>

‎PHP pages/second.php

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<html>
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<body>
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<?php
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include('_con.php');
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if (isset($_POST['submit'])){
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$sql = "SELECT * FROM login WHERE UserName='$_POST[UserName]' AND Password='$_POST[Password]'";
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$res = mysqli_query($dbcon, $sql) or die('error');
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if(mysqli_num_rows($res)==1)
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{
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echo "<form action='Third.php' method='post'>";
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echo "<div class=loginBox>";
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echo "<h2>Please Select:</h2>";
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echo "<br/><br/>";
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echo "Credits:<input type='radio' name='Select' value='Credits' /><br/>";
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echo "History:<input type='radio' name='Select' value='History' /><br/>";
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echo "<button type='submit' name='submit' >Submit</button>";
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echo "</div>";
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echo "</form>";
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}
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else
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{
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echo "Wrong information";
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}
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}
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else
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{
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echo" sorry";
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}
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mysqli_close($dbcon);
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?>
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</body>
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</html>

‎PHP pages/style.css

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body
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{
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margin: 0;
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padding: 0;
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font-family: sans-serif;
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}
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.loginBox
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{
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position: absolute;
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top: 50%;
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left: 50%;
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transform: translate(-50%,-50%);
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width: 350px;
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height: 420px;
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padding: 80px 40px;
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box-sizing: border-box;
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background: rgba(0,0,0,.5);
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}
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.user
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{
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width: 100px;
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height: 100px;
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border-radius: 50%;
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overflow: hidden;
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position: absolute;
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top: calc(-100px/2);
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left: calc(50% - 50px);
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}
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h2
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{
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margin: 0;
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padding: 0 0 20px;
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color: #efed40;
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text-align: center;
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}
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.loginBox p
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{
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margin: 0;
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padding: 0;
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font-weight: bold;
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color: #fff;
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}
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.loginBox input
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{
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width: 100%;
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margin-bottom: 20px;
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}
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.loginBox input[type="text"],
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.loginBox input[type="password"]
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{
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border: none;
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border-bottom: 1px solid #fff;
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background: transparent;
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outline: none;
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height: 40px;
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color: #fff;
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font-size: 16px;
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}
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::placeholder
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{
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color: rgba(255,255,255,.5);
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}
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.loginBox input[type="submit"]
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{
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border: none;
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outline: none;
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height: 40px;
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color: #fff;
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font-size: 16px;
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background: #ff267e;
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cursor: pointer;
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border-radius: 20px;
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}
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.loginBox input[type="radio"]
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{
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display: block;
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position: relative;
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font-weight: 300;
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font-size: 1.35em;
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padding: 25px 25px 25px 80px;
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margin: 10px auto;
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height: 30px;
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z-index: 9;
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cursor: pointer;
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-webkit-transition: all 0.25s linear;
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}
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.loginBox input[type="submit"]:hover
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{
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background: #efed40;
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color: #262626;
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}
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.loginBox a
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{
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color: #fff;
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font-size: 14px;
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font-weight: bold;
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text-decoration: none;
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}

‎Procedure call.py

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from pubnub.callbacks import SubscribeCallback
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from pubnub.enums import PNStatusCategory
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from pubnub.pnconfiguration import PNConfiguration
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from pubnub.pubnub import PubNub
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pnconfig = PNConfiguration()
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import os
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import numpy as np
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from sklearn import preprocessing, cross_validation, neighbors , svm
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import pandas as pd
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pnconfig = PNConfiguration()
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pnconfig.subscribe_key = 'sub-c-f8ee4c62-2497-11e8-a183-761142583d66'
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pnconfig.publish_key = 'pub-c-89c7fbd5-76f5-4c6a-8511-c153e7517db4'
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pubnub = PubNub(pnconfig)
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df=pd.read_csv('data.csv')
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df.replace('?',-9999, inplace=True)
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X = np.array(df.drop(['Metal'],1))
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y = np.array(df['Metal'])
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X_train,X_test,y_train,y_test = cross_validation.train_test_split(X,y,test_size=0.3)
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clf = neighbors.KNeighborsClassifier()
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clf.fit(X_train,y_train)
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def my_publish_callback(envelope, status):
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if not status.is_error():
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pass
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else:
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pass
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accuracy = clf.score(X_test,y_test)
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a = str(accuracy)
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example_measures = np.array([[12],[75],[140]])
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example_measures = example_measures.reshape(3,-1)
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predictions = clf.predict(example_measures)
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np.savetxt("output1.txt",predictions, newline=",")
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file = open("output.txt","w")
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file.write(a)
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file.close()
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y=np.loadtxt("output1.txt",delimiter=",",usecols=(0,2),unpack=True)
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fout=open("result.php","w")
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out = 0
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for i in y:
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if(i==1):
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out += i*5
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elif(i==2):
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out += i*6
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else:
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out += i*7
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fout.write(str(out))
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fout.close()
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print(accuracy)
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print(predictions)
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def status(self, pubnub, status):
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if status.category == PNStatusCategory.PNUnexpectedDisconnectCategory:
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pass
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elif status.category == PNStatusCategory.PNConnectedCategory:
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pubnub.publish().channel("Dear User,Thanks for user PubNub IoT Recycle").message("Hello!!").async(my_publish_callback)
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elif status.category == PNStatusCategory.PNReconnectedCategory:
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pass
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elif status.category == PNStatusCategory.PNDecryptionErrorCategory:
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pass
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def message(self, pubnub, message):
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pass
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pubnub.add_listener(MySubscribeCallback())
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pubnub.subscribe().channels('Dear User,Thanks for user PubNub IoT Recycle').execute()
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#out = (a*5)+(b*4)+(c*3)
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#np.savetxt("output.txt",(accuracy,predictions), fmt="%d")
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