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Ironpython in Action
IronPytho IN ACTION Michael J. Foord Christian Muirhead FOREWORD BY JIM HUGUNIN MANNING IronPython in Action Download at Boykma.Com Licensed to Deborah Christiansen <[email protected]> Download at Boykma.Com Licensed to Deborah Christiansen <[email protected]> IronPython in Action MICHAEL J. FOORD CHRISTIAN MUIRHEAD MANNING Greenwich (74° w. long.) Download at Boykma.Com Licensed to Deborah Christiansen <[email protected]> For online information and ordering of this and other Manning books, please visit www.manning.com. The publisher offers discounts on this book when ordered in quantity. For more information, please contact Special Sales Department Manning Publications Co. Sound View Court 3B fax: (609) 877-8256 Greenwich, CT 06830 email: [email protected] ©2009 by Manning Publications Co. All rights reserved. No part of this publication may be reproduced, stored in a retrieval system, or transmitted, in any form or by means electronic, mechanical, photocopying, or otherwise, without prior written permission of the publisher. Many of the designations used by manufacturers and sellers to distinguish their products are claimed as trademarks. Where those designations appear in the book, and Manning Publications was aware of a trademark claim, the designations have been printed in initial caps or all caps. Recognizing the importance of preserving what has been written, it is Manning’s policy to have the books we publish printed on acid-free paper, and we exert our best efforts to that end. Recognizing also our responsibility to conserve the resources of our planet, Manning books are printed on paper that is at least 15% recycled and processed without the use of elemental chlorine. -
Opening Presentation
Mono Meeting. Miguel de Icaza [email protected] October 24, 2006 Mono, Novell and the Community. Mono would not exist without the community: • Individual contributors. • Companies using Mono. • Organizations using Mono. • Companies using parts of Mono. • Google Summer of Code. Introductions. 2 Goals of the Meeting. A chance to meet. • Most of the Novell/Mono team is here. • Many contributors are here. • Various breaks to talk. Talk to others! • Introduce yourself, ask questions. Talk to us! • Frank Rego, Mono's Product Manager is here. • Tell us what you need in Mono. • Tell us about how you use Mono. 3 Project Status Goals Originally: • Improve our development platform on Linux. As the community grew: • Expand to support Microsoft APIs. As Mono got more complete: • Provide a complete cross platform runtime. • Allow Windows developers to port to Linux. 5 Mono Stacks and Goals. MySMQySQLL//PPosstgtrgesrsess EvEovolluutitioonn# # ASP.NET Novell APIs: MMoozzillala Novell iFolder iFolder, LDAP, Identity ADO.NET ApAapchachee MMonoono DesktoGpTK#: GTK# OpNoevenlOl LfDfAiPce GCneomceil# Windows.Forms JavaJa vCa oCommpaatitbilbitiylity Google APIs Microsoft Compatibility Libraries Mono Libraries Mono Runtime (Implementation of ECMA #335) 6 Platforms, CIL, Code Generation. 7 API space Mono 1.0: July 2004 “T-Bone” Mono 1.2: November 2006 “Rump steak” Mono 1.2 bits. Reliability and C# 2.0, .NET 2.0 scalability: • Complete. • With VM support. • ZenWorks and iFolder • Some 2.0 API support. pushed Mono on the server. • IronPython works. • xsp 1.0: 8 request/second. • xsp 1.2: 250 Debugger: request/second. • x86 and x86-64 debugger. GUI • CLI-only, limited in scenarios (no xsp). -
Thriving in a Crowded and Changing World: C++ 2006–2020
Thriving in a Crowded and Changing World: C++ 2006–2020 BJARNE STROUSTRUP, Morgan Stanley and Columbia University, USA Shepherd: Yannis Smaragdakis, University of Athens, Greece By 2006, C++ had been in widespread industrial use for 20 years. It contained parts that had survived unchanged since introduced into C in the early 1970s as well as features that were novel in the early 2000s. From 2006 to 2020, the C++ developer community grew from about 3 million to about 4.5 million. It was a period where new programming models emerged, hardware architectures evolved, new application domains gained massive importance, and quite a few well-financed and professionally marketed languages fought for dominance. How did C++ ś an older language without serious commercial backing ś manage to thrive in the face of all that? This paper focuses on the major changes to the ISO C++ standard for the 2011, 2014, 2017, and 2020 revisions. The standard library is about 3/4 of the C++20 standard, but this paper’s primary focus is on language features and the programming techniques they support. The paper contains long lists of features documenting the growth of C++. Significant technical points are discussed and illustrated with short code fragments. In addition, it presents some failed proposals and the discussions that led to their failure. It offers a perspective on the bewildering flow of facts and features across the years. The emphasis is on the ideas, people, and processes that shaped the language. Themes include efforts to preserve the essence of C++ through evolutionary changes, to simplify itsuse,to improve support for generic programming, to better support compile-time programming, to extend support for concurrency and parallel programming, and to maintain stable support for decades’ old code. -
Cornell CS6480 Lecture 3 Dafny Robbert Van Renesse Review All States
Cornell CS6480 Lecture 3 Dafny Robbert van Renesse Review All states Reachable Ini2al states states Target states Review • Behavior: infinite sequence of states • Specificaon: characterizes all possible/desired behaviors • Consists of conjunc2on of • State predicate for the inial states • Acon predicate characterizing steps • Fairness formula for liveness • TLA+ formulas are temporal formulas invariant to stuering • Allows TLA+ specs to be part of an overall system Introduction to Dafny What’s Dafny? • An imperave programming language • A (mostly funconal) specificaon language • A compiler • A verifier Dafny programs rule out • Run2me errors: • Divide by zero • Array index out of bounds • Null reference • Infinite loops or recursion • Implementa2ons that do not sa2sfy the specifica2ons • But it’s up to you to get the laFer correct Example 1a: Abs() method Abs(x: int) returns (x': int) ensures x' >= 0 { x' := if x < 0 then -x else x; } method Main() { var x := Abs(-3); assert x >= 0; print x, "\n"; } Example 1b: Abs() method Abs(x: int) returns (x': int) ensures x' >= 0 { x' := 10; } method Main() { var x := Abs(-3); assert x >= 0; print x, "\n"; } Example 1c: Abs() method Abs(x: int) returns (x': int) ensures x' >= 0 ensures if x < 0 then x' == -x else x' == x { x' := 10; } method Main() { var x := Abs(-3); print x, "\n"; } Example 1d: Abs() method Abs(x: int) returns (x': int) ensures x' >= 0 ensures if x < 0 then x' == -x else x' == x { if x < 0 { x' := -x; } else { x' := x; } } Example 1e: Abs() method Abs(x: int) returns (x': int) ensures -
Demo: Embedding Windows Presentation Foundation Elements Inside a Java GUI Application
Demo: Embedding Windows Presentation Foundation elements inside a Java GUI application Version 10.1 jnbridge.com JNBridge, LLC jnbridge.com COPYRIGHT © 2002–2019 JNBridge, LLC. All rights reserved. JNBridge is a registered trademark and JNBridgePro and the JNBridge logo are trademarks of JNBridge, LLC. Java is a registered trademark of Oracle and/or its affiliates. Microsoft, Visual Studio, and IntelliSense are trademarks or registered trademarks of Microsoft Corporation in the United States and other countries. Apache is a trademark of The Apache Software Foundation. All other marks are the property of their respective owners. August 13, 2019 Demo: Embedding a WPF element inside a Java GUI application Introduction This document shows how a .NET Windows Presentation Foundation (WPF) control can be embedded inside a Java GUI application (either an AWT, Swing, or SWT application). If you are unfamiliar with JNBridgePro, we recommend that you work through one of the other demos first. We recommend working through the “Java-to-.NET demo,” which will work through the entire process of generating proxies and setting up, configuring, and running an interop project. This current document assumes such knowledge, and is mainly a guided tour of the code and configuration information necessary to embed .NET GUI elements inside GUI-based Java applications. The .NET GUI component In this example, we have provided a Windows Presentation Foundation control, WPFControlDemo.UserControl1. This control is adapted from the example in the first chapter of the book Essential Windows Presentation Foundation, by Chris Anderson (Addison-Wesley). Any WPF component to be embedded inside a Java GUI application must be derived from System.Windows.Controls.Control. -
Neufuzz: Efficient Fuzzing with Deep Neural Network
Received January 15, 2019, accepted February 6, 2019, date of current version April 2, 2019. Digital Object Identifier 10.1109/ACCESS.2019.2903291 NeuFuzz: Efficient Fuzzing With Deep Neural Network YUNCHAO WANG , ZEHUI WU, QIANG WEI, AND QINGXIAN WANG China National Digital Switching System Engineering and Technological Research Center, Zhengzhou 450000, China Corresponding author: Qiang Wei ([email protected]) This work was supported by National Key R&D Program of China under Grant 2017YFB0802901. ABSTRACT Coverage-guided graybox fuzzing is one of the most popular and effective techniques for discovering vulnerabilities due to its nature of high speed and scalability. However, the existing techniques generally focus on code coverage but not on vulnerable code. These techniques aim to cover as many paths as possible rather than to explore paths that are more likely to be vulnerable. When selecting the seeds to test, the existing fuzzers usually treat all seed inputs equally, ignoring the fact that paths exercised by different seed inputs are not equally vulnerable. This results in wasting time testing uninteresting paths rather than vulnerable paths, thus reducing the efficiency of vulnerability detection. In this paper, we present a solution, NeuFuzz, using the deep neural network to guide intelligent seed selection during graybox fuzzing to alleviate the aforementioned limitation. In particular, the deep neural network is used to learn the hidden vulnerability pattern from a large number of vulnerable and clean program paths to train a prediction model to classify whether paths are vulnerable. The fuzzer then prioritizes seed inputs that are capable of covering the likely to be vulnerable paths and assigns more mutation energy (i.e., the number of inputs to be generated) to these seeds. -
Intel® Software Guard Extensions: Data Center Attestation Primitives
Intel® Software Guard Extensions Data Center Attestation Primitives Installation Guide For Windows* OS Revision <1.0> <3/10/2020> Table of Contents Introduction .......................................................................................................................... 3 Components – Detailed Description ....................................................................................... 4 Platform Configuration .......................................................................................................... 6 Windows* Server OS Support ................................................................................................. 7 Installation Instructions ......................................................................................................... 8 Windows* Server 2016 LTSC ................................................................................................................. 8 Downloading the Software ........................................................................................................................... 8 Installation .................................................................................................................................................... 8 Windows* Server 2019 Installation ....................................................................................................... 9 Downloading the Software ........................................................................................................................... 9 Installation -
Appendix a and Appendix B
This PDF contains 2 Appendices: Appendix A and Appendix B. Appendix A Answers to the Test Your Knowledge Questions This appendix has the answers to the questions in the Test Your Knowledge section at the end of each chapter. Chapter 1 – Hello, C#! Welcome, .NET! 1. Why can a programmer use different languages, for example, C# and F#, to write applications that run on .NET? Answer: Multiple languages are supported on .NET because each one has a compiler that translates the source code into intermediate language (IL) code. This IL code is then compiled to native CPU instructions at runtime by the CLR. 2. What do you type at the prompt to create a console app? Answer: You enter dotnet new console. 3. What do you type at the prompt to build and execute C# source code? Answer: In a folder with a ProjectName.csproj file, you enter dotnet run. 4. What is the Visual Studio Code keyboard shortcut to view Terminal? Answer: Ctrl + ` (back tick). Answers to the Test Your Knowledge Questions 5. Is Visual Studio 2019 better than Visual Studio Code? Answer: No. Each is optimized for different tasks. Visual Studio 2019 is large, heavy- weight, and can create applications with graphical user interfaces, for example, Windows Forms, WPF, UWP, and Xamarin.Forms mobile apps, but it is only available on Windows. Visual Studio Code is smaller, lighter-weight, code-focused, supports many more languages, and is available cross-platform. In 2021, with the release of .NET 6 and .NET Multi-platform App User Interface (MAUI), Visual Studio Code will get an extension that enables building user interfaces for desktop and mobile apps. -
Fine-Grained Energy Profiling for Power-Aware Application Design
Fine-Grained Energy Profiling for Power-Aware Application Design Aman Kansal Feng Zhao Microsoft Research Microsoft Research One Microsoft Way, Redmond, WA One Microsoft Way, Redmond, WA [email protected] [email protected] ABSTRACT changing from double precision to single), or quality of service pro- Significant opportunities for power optimization exist at applica- vided [10]. Third, energy usage at the application layer may be tion design stage and are not yet fully exploited by system and ap- made dynamic [8]. For instance, an application hosted in a data plication designers. We describe the challenges developers face in center may decide to turn off certain low utility features if the en- optimizing software for energy efficiency by exploiting application- ergy budget is being exceeded, and an application on a mobile de- level knowledge. To address these challenges, we propose the de- vice may reduce its display quality [11] when battery is low. This velopment of automated tools that profile the energy usage of vari- is different from system layer techniques that may have to throttle ous resource components used by an application and guide the de- the throughput resulting in users being denied service. sign choices accordingly. We use a preliminary version of a tool While many application specific energy optimizations have been we have developed to demonstrate how automated energy profiling researched, there is a lack of generic tools that a developer may use helps a developer choose between alternative designs in the energy- at design time. Application specific optimizations require signif- performance trade-off space. icant development effort and are often only applicable to specific scenarios. -
Adding Self-Healing Capabilities to the Common Language Runtime
Adding Self-healing capabilities to the Common Language Runtime Rean Griffith Gail Kaiser Columbia University Columbia University [email protected] [email protected] Abstract systems can leverage to maintain high system availability is to perform repairs in a degraded mode of operation[23, 10]. Self-healing systems require that repair mechanisms are Conceptually, a self-managing system is composed of available to resolve problems that arise while the system ex- four (4) key capabilities [12]; Monitoring to collect data ecutes. Managed execution environments such as the Com- about its execution and operating environment, performing mon Language Runtime (CLR) and Java Virtual Machine Analysis over the data collected from monitoring, Planning (JVM) provide a number of application services (applica- an appropriate course of action and Executing the plan. tion isolation, security sandboxing, garbage collection and Each of the four functions participating in the Monitor- structured exception handling) which are geared primar- Analyze-Plan-Execute (MAPE) loop consumes and pro- ily at making managed applications more robust. How- duces knowledgewhich is integral to the correct functioning ever, none of these services directly enables applications of the system. Over its execution lifetime the system builds to perform repairs or consistency checks of their compo- and refines a knowledge-base of its behavior and environ- nents. From a design and implementation standpoint, the ment. Information in the knowledge-base could include preferred way to enable repair in a self-healing system is patterns of resource utilization and a “scorecard” tracking to use an externalized repair/adaptation architecture rather the success of applying specific repair actions to detected or than hardwiring adaptation logic inside the system where it predicted problems. -
Formalized Mathematics in the Lean Proof Assistant
Formalized mathematics in the Lean proof assistant Robert Y. Lewis Vrije Universiteit Amsterdam CARMA Workshop on Computer-Aided Proof Newcastle, NSW June 6, 2019 Credits Thanks to the following people for some of the contents of this talk: Leonardo de Moura Jeremy Avigad Mario Carneiro Johannes Hölzl 1 38 Table of Contents 1 Proof assistants in mathematics 2 Dependent type theory 3 The Lean theorem prover 4 Lean’s mathematical libraries 5 Automation in Lean 6 The good and the bad 2 38 bfseries Proof assistants in mathematics Computers in mathematics Mathematicians use computers in various ways. typesetting numerical calculations symbolic calculations visualization exploration Let’s add to this list: checking proofs. 3 38 Interactive theorem proving We want a language (and an implementation of this language) for: Defining mathematical objects Stating properties of these objects Showing that these properties hold Checking that these proofs are correct Automatically generating these proofs This language should be: Expressive User-friendly Computationally eicient 4 38 Interactive theorem proving Working with a proof assistant, users construct definitions, theorems, and proofs. The proof assistant makes sure that definitions are well-formed and unambiguous, theorem statements make sense, and proofs actually establish what they claim. In many systems, this proof object can be extracted and verified independently. Much of the system is “untrusted.” Only a small core has to be relied on. 5 38 Interactive theorem proving Some systems with large -
1. with Examples of Different Programming Languages Show How Programming Languages Are Organized Along the Given Rubrics: I
AGBOOLA ABIOLA CSC302 17/SCI01/007 COMPUTER SCIENCE ASSIGNMENT 1. With examples of different programming languages show how programming languages are organized along the given rubrics: i. Unstructured, structured, modular, object oriented, aspect oriented, activity oriented and event oriented programming requirement. ii. Based on domain requirements. iii. Based on requirements i and ii above. 2. Give brief preview of the evolution of programming languages in a chronological order. 3. Vividly distinguish between modular programming paradigm and object oriented programming paradigm. Answer 1i). UNSTRUCTURED LANGUAGE DEVELOPER DATE Assembly Language 1949 FORTRAN John Backus 1957 COBOL CODASYL, ANSI, ISO 1959 JOSS Cliff Shaw, RAND 1963 BASIC John G. Kemeny, Thomas E. Kurtz 1964 TELCOMP BBN 1965 MUMPS Neil Pappalardo 1966 FOCAL Richard Merrill, DEC 1968 STRUCTURED LANGUAGE DEVELOPER DATE ALGOL 58 Friedrich L. Bauer, and co. 1958 ALGOL 60 Backus, Bauer and co. 1960 ABC CWI 1980 Ada United States Department of Defence 1980 Accent R NIS 1980 Action! Optimized Systems Software 1983 Alef Phil Winterbottom 1992 DASL Sun Micro-systems Laboratories 1999-2003 MODULAR LANGUAGE DEVELOPER DATE ALGOL W Niklaus Wirth, Tony Hoare 1966 APL Larry Breed, Dick Lathwell and co. 1966 ALGOL 68 A. Van Wijngaarden and co. 1968 AMOS BASIC FranÇois Lionet anConstantin Stiropoulos 1990 Alice ML Saarland University 2000 Agda Ulf Norell;Catarina coquand(1.0) 2007 Arc Paul Graham, Robert Morris and co. 2008 Bosque Mark Marron 2019 OBJECT-ORIENTED LANGUAGE DEVELOPER DATE C* Thinking Machine 1987 Actor Charles Duff 1988 Aldor Thomas J. Watson Research Center 1990 Amiga E Wouter van Oortmerssen 1993 Action Script Macromedia 1998 BeanShell JCP 1999 AngelScript Andreas Jönsson 2003 Boo Rodrigo B.