exelban

package com.getcapacitor.plugin;

import android.Manifest;
import android.content.pm.PackageManager;
import android.location.Location;
import android.os.Looper;

import com.getcapacitor.JSObject;
import com.getcapacitor.NativePlugin;
import com.getcapacitor.Plugin;

exelban

#!/bin/bash

NUMBER=1000

list=""
while read -r line;
do
	name=$(echo $line | awk '{print $1;}')

	if [ "$name" != "NAME" ]; then

exelban

### Download and unarchive openvswitch:
wget http://openvswitch.org/releases/openvswitch-2.5.0.tar.gz
tar -xvzf openvswitch-2.5.0.tar.gz
cd openvswitch-2.5.0

### Install all dependencies:
sudo apt-get install python-simplejson python-qt4 libssl-dev python-twisted-conch automake autoconf gcc uml-utilities libtool build-essential pkg-config

### Build openvswitch:
./configure

exelban

import numpy as np
import tensorflow as tf

x = tf.placeholder("float", [None, 2], name="X")
y = tf.placeholder("float", [None, 1], name="Y")

w = tf.Variable(tf.random_normal([2, 1], stddev=0.01), tf.float32)
b = tf.Variable(tf.random_normal([1]))

linear_model = tf.matmul(x, w) + b

exelban

import numpy as np

X_and = np.array([[0,0], [0,1], [1,0], [1,1]])
Y_and = np.array([ [0],   [0],   [0],   [1]])

X_or = np.array([[0, 0], [0,1], [1,0], [1,1]])
Y_or = np.array([ [0],   [1],   [1],   [1]])

X_nor = np.array([[0,0], [0,1], [1,0], [1,1]])
Y_nor = np.array([ [1],   [0],   [0],   [0]])

exelban

import io
import socket
import struct
import time
import picamera
import argparse
import logging

########################################################################################################################
logging.basicConfig(level=logging.INFO, datefmt='%m/%d/%Y %I:%M:%S %p', format='%(asctime)s - %(name)s - %(message)s')