mgalgs

#!/usr/bin/python2

import sys
import signal
from threading import Thread,Lock
from scapy.all import sniff,IP,sendp,srp1,Ether,ARP,get_if_list,get_if_hwaddr


def usage():
    print 'Usage: scapy_throuput.py host1_interface host1_ip host2_interfcae host2_ip'

mgalgs

You'll adopt roles and verbosity according to user settings:

R=<role> V=<level>

Roles:

  - E = Engineering virtuoso (e.g., electrical, computer, software, etc.)
  - B = Business/finance virtuoso (e.g., economics, investments, geopolitics, etc.)
  - G = Highly intelligent generalist with a wide variety of knowledge.

mgalgs

<?xml version="1.0" encoding="UTF-8"?>
<kml xmlns="http://www.opengis.net/kml/2.2">
  <Document>
    <name>GPS Coordinates Area</name>
    <Placemark>
      <name>Rectangle Area</name>
      <Style>
        <LineStyle>
          <color>ff0000ff</color>
          <width>2</width>

mgalgs

%% https://en.wikibooks.org/wiki/LaTeX/Letters
\documentclass[12pt]{letter}
\usepackage[a4paper,left=2cm, right=2cm, top=1.5cm, bottom=1.5cm]{geometry}
\signature{Your Name}
\address{Your Name
  \\ Address1
  \\  City, STATE 00000
  \\ (555) 867-5309
  \\ you@example.com}
\begin{document}

mgalgs

# Print the name and bounding box (x1, y1, x2, y2) for the active window in
# a loop.

import time
from collections import namedtuple

import Xlib
import Xlib.display

mgalgs

/cnsfails202101b.txt
/cnsfails202102a.txt
/cnsfails202102b.txt
/cnsfails202103b.txt
/cnsfails202103a.txt

mgalgs

import sys
import os

import tensorflow as tf


def usage():
    proggie = os.path.basename(sys.argv[0])
    print(f"""\
Usage: {proggie} <input_saved_model_dir> <output>

mgalgs

// imgLib -> Image package from https://pub.dartlang.org/packages/image
import 'package:image/image.dart' as imglib;
import 'package:camera/camera.dart';

imglib.Image convertCameraImagetoImage(CameraImage image) {
  try {
    if (image.format.group == ImageFormatGroup.yuv420) {
      return _convertYUV420(image);
    } else if (image.format.group == ImageFormatGroup.bgra8888) {
      return _convertBGRA8888(image);

mgalgs

#define __define_initcall(level,fn,id) \
	static initcall_t __initcall_##fn##id __used \
	__attribute__((__section__(".initcall" level ".init"))) = fn

#define core_initcall(fn)		__define_initcall("1",fn,1)
#define subsys_initcall(fn)		__define_initcall("4",fn,4)
#define late_initcall(fn)		__define_initcall("7",fn,7)

/* trimmed, obviously... */

mgalgs

// Based on https://github.com/shaqian/flutter_realtime_detection

import 'package:flutter/material.dart' show Border, BoxDecoration, BuildContext, Color, Container, EdgeInsets, FontWeight, Positioned, Stack, StatelessWidget, Text, TextStyle, Widget;
import 'dart:math' as math;

class BndBox extends StatelessWidget {
  final List<dynamic> results;
  final int previewH;
  final int previewW;
  final double screenH;