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Libffi This Manual Is for Libffi, a Portable Foreign-Function Interface Library
Libffi This manual is for Libffi, a portable foreign-function interface library. Copyright c 2008, 2010, 2011 Red Hat, Inc. Permission is granted to copy, distribute and/or modify this document under the terms of the GNU General Public License as published by the Free Software Foundation; either version 2, or (at your option) any later version. A copy of the license is included in the section entitled \GNU General Public License". Chapter 2: Using libffi 1 1 What is libffi? Compilers for high level languages generate code that follow certain conventions. These conventions are necessary, in part, for separate compilation to work. One such convention is the calling convention. The calling convention is a set of assumptions made by the compiler about where function arguments will be found on entry to a function. A calling convention also specifies where the return value for a function is found. The calling convention isalso sometimes called the ABI or Application Binary Interface. Some programs may not know at the time of compilation what arguments are to be passed to a function. For instance, an interpreter may be told at run-time about the number and types of arguments used to call a given function. `Libffi' can be used in such programs to provide a bridge from the interpreter program to compiled code. The `libffi' library provides a portable, high level programming interface to various calling conventions. This allows a programmer to call any function specified by a call interface description at run time. FFI stands for Foreign Function Interface. A foreign function interface is the popular name for the interface that allows code written in one language to call code written in another language. -
Dell Wyse Management Suite Version 2.1 Third Party Licenses
Dell Wyse Management Suite Version 2.1 Third Party Licenses October 2020 Rev. A01 Notes, cautions, and warnings NOTE: A NOTE indicates important information that helps you make better use of your product. CAUTION: A CAUTION indicates either potential damage to hardware or loss of data and tells you how to avoid the problem. WARNING: A WARNING indicates a potential for property damage, personal injury, or death. © 2020 Dell Inc. or its subsidiaries. All rights reserved. Dell, EMC, and other trademarks are trademarks of Dell Inc. or its subsidiaries. Other trademarks may be trademarks of their respective owners. Contents Chapter 1: Third party licenses...................................................................................................... 4 Contents 3 1 Third party licenses The table provides the details about third party licenses for Wyse Management Suite 2.1. Table 1. Third party licenses Component name License type jdk1.8.0_112 Oracle Binary Code License jre11.0.5 Oracle Binary Code License bootstrap-2.3.2 Apache License, Version 2.0 backbone-1.3.3 MIT MIT aopalliance-1.0.jar Public Domain aspectjweaver-1.7.2.jar Eclipse Public licenses- v 1.0 bcprov-jdk16-1.46.jar MIT commons-codec-1.9.jar Apache License, Version 2.0 commons-logging-1.1.1.jar Apache License, Version 2.0 hamcrest-core-1.3.jar BSD-3 Clause jackson-annotations.2.10.2.jar Apache License, Version 2.0 The Apache Software License, Version 2.0 jackson-core.2.10.2.jar Apache License, Version 2.0 The Apache Software License, Version 2.0 jackson-databind.2.10.2.jar Apache License, Version 2.0 The Apache Software License, Version 2.0 log4j-1.2.17.jar Apache License, Version 2.0 mosquitto-3.1 Eclipse Public licenses- v 1.0 Gradle Wrapper 2.14 Apache 2.0 License Gradle Wrapper 3.3 Apache 2.0 License HockeySDK-Ios3.7.0 MIT Relayrides / pushy - v0.9.3 MIT zlib-1.2.8 zlib license yaml-cpp-0.5.1 MIT libssl.dll (1.1.1c) Open SSL License 4 Third party licenses Table 1. -
Software Engineer Is .Jusiak.Net Kr Is @Jusiak.Net (0) 791-384-1386
Krzysztof (Kris) Jusiak Software Engineer http://kr is .jusiak.net kr is @jusiak.net (0) 791-384-1386 Education 2005 - 2010 Wroclaw University of Technology Wroclaw (Poland) MSc in Computer Science, specialised in Software Engineering (Top grade) Employment 2013 – Present King London (United Kingdom) Game/Software Developer (Mobile) King is a worldwide leader in casual games with more than 30 billion games played per month globally. We are a leading interactive entertainment company for the mobile world. Our mission is to provide highly engaging content to our audience to match their mobile lifestyles: anywhere, anytime, through any platform and on any device. Software Developer in a scrum team responsible for development and releases of mobile games played by millions active daily players. 90% of my job is focused on developing software using C++14 standard for different platforms such as, iOS, Android and Facebook (HTML5 - Emscripten). My core role is to provide high quality features and review/refactor already implemented. I am also involved in recruitment process by being a technical expert on interviews. I have done a lot of improvements to the projects I have been involved in, such as, performance/compile times optimizations, introduction of static analysis tools as well as a replacement of Service Locator pattern by Dependency Injection. • Implementing and releasing multi-platform games played by more than 100 millions active daily players • Reduced time to render the textures by 10% by changing loading files caching mechanism • Implemented an integration test framework which eliminated commonly reoccurring issues 2009 – 2013 Nokia Networks Wroclaw (Poland) Software Engineer Nokia Networks is the world’s specialist in mobile broadband, which helps enable end users to do more than ever before with the world’s most efficient mobile networks, the intelligence to maximize their value and the services to make it all work together. -
Erik Lindahl
HPC Software Engineering Erik Lindahl XSEDE/PRACE/RIKEN/SciNet HPC Summer School Ostrava, CZ, 2018 Extra Q & A session: Here (or outside at the tables) 12.45 today! “The application of a systematic, disciplined, quantifiable approach to the development, operation and maintenance of software, and the study of these approaches, that is, the application of engineering to software.” Experiences from 20 years of GROMACS development The GROMACS picture until early 2011 Source code repository: • Simulation hardware project, turned software CVS • Early development based on our own needs • Turned GPL in 2001, LGPL in 2012 Build Chain: • Organic growth of development Automake/Autoconf/libtool • Roughly 10-15 core developers Bug Tracking: • Another 15-20 active contributors Bugzilla • Currently 3,076,420 lines of C++11 code (“C++11”) • Over the years we have used Fortran, C, Assembly Testing: • Lots of old code. Lots of new code. Lots of complicated (read: bad) code written by scientists Software Scientist engineer • Trained in physics, • Trained in CS/software chemistry, etc. • Care about their problem • Care about their code • Care about short-term • Care about long-term deadlines maintenance • New code = asset • New code = liability • Writes more code than • Reads much more code she reads than she writes Without proper software engineering, we are building a technical debt that sooner or later will have to be paid. “Technical Debt is a wonderful metaphor developed by Ward Cunningham to help us think about this problem. In this metaphor, doing things the quick and dirty way sets us up with a technical debt, which is similar to a financial debt. -
CFFI Documentation Release 0.8.6
CFFI Documentation Release 0.8.6 Armin Rigo, Maciej Fijalkowski May 19, 2015 Contents 1 Installation and Status 3 1.1 Platform-specific instructions......................................4 2 Examples 5 2.1 Simple example (ABI level).......................................5 2.2 Real example (API level).........................................5 2.3 Struct/Array Example..........................................6 2.4 What actually happened?.........................................6 3 Distributing modules using CFFI7 3.1 Cleaning up the __pycache__ directory.................................7 4 Reference 9 4.1 Declaring types and functions......................................9 4.2 Loading libraries............................................. 10 4.3 The verification step........................................... 10 4.4 Working with pointers, structures and arrays.............................. 12 4.5 Python 3 support............................................. 14 4.6 An example of calling a main-like thing................................. 15 4.7 Function calls............................................... 15 4.8 Variadic function calls.......................................... 16 4.9 Callbacks................................................. 17 4.10 Misc methods on ffi........................................... 18 4.11 Unimplemented features......................................... 20 4.12 Debugging dlopen’ed C libraries..................................... 20 4.13 Reference: conversions.......................................... 21 4.14 Reference: -
Compiler Fuzzing: How Much Does It Matter?
Compiler Fuzzing: How Much Does It Matter? MICHAËL MARCOZZI∗, QIYI TANG∗, ALASTAIR F. DONALDSON, and CRISTIAN CADAR, Imperial College London, United Kingdom Despite much recent interest in randomised testing (fuzzing) of compilers, the practical impact of fuzzer-found compiler bugs on real-world applications has barely been assessed. We present the first quantitative and qualitative study of the tangible impact of miscompilation bugs in a mature compiler. We follow a rigorous methodology where the bug impact over the compiled application is evaluated based on (1) whether the bug appears to trigger during compilation; (2) the extent to which generated assembly code changes syntactically due to triggering of the bug; and (3) whether such changes cause regression test suite failures, or whether we can manually find application inputs that trigger execution divergence due to such changes. Thestudy is conducted with respect to the compilation of more than 10 million lines of C/C++ code from 309 Debian 155 packages, using 12% of the historical and now fixed miscompilation bugs found by four state-of-the-art fuzzers in the Clang/LLVM compiler, as well as 18 bugs found by human users compiling real code or as a by-product of formal verification efforts. The results show that almost half of the fuzzer-found bugs propagate tothe generated binaries for at least one package, in which case only a very small part of the binary is typically affected, yet causing two failures when running the test suites of all the impacted packages. User-reported and formal verification bugs do not exhibit a higher impact, with a lower rate of triggered bugs andonetest failure. -
How Google Tests Software
How Google Tests Software James Whittaker Jason Arbon Jeff Carollo • nTr Addison-Wesley Upper Saddle River, NJ • Boston • Indianapolis • San Francisco New York • Toronto • Montreal • London • Munich • Paris • Madrid Capetown • Sydney • Tokyo • Singapore • Mexico City ' ' ^ : Г: С : '. , Table of Contents Foreword by Alberto Savoia Xlll Foreword by Patrick Copeland xvii Preface ХХШ Chapter 1 Introduction to Google Software Testing 1 Quality^Test 5 Roles 6 Organizational Structure 8 Crawl, Walk, Run 10 Types of Tests 12 Chapter 2 The Software Engineer in Test 15 The Life of an SET 17 Development and Test Workflow 17 Who Are These SETs Anyway? 22 The Early Phase of a Project 22 Team Structure 24 Design Docs 25 Interfaces and Protocols 27 Automation Planning 28 Testability 29 SET Workflow: An Example 32 Test Execution 40 Test Size Definitions 41 Use of Test Sizes in Shared Infrastructure 44 Benefits of Test Sizes 46 Test Runtime Requirements 48 Case 1: Change in Common Library 52 Test Certified 54 An Interview with the Founders of the Test Certified Program 57 Interviewing SETs 62 An Interview with Tool Developer Ted Mao 68 An Interview with Web Driver Creator Simon Stewart 70 How Google Tests Software Chapter 3 The Test Engineer 75 A User-Facing Test Role 75 The Life of а ТЕ 76 Test Planning 79 Risk 97 Life of a Test Case 108 Life of a Bug 113 Recruiting TEs 127 Test Leadership at Google 134 Maintenance Mode Testing 137 Quality Bots Experiment 141 BITE Experiment 153 Google Test Analytics 163 Free Testing Workflow 169 External Vendors 173 -
VSI's Open Source Strategy
VSI's Open Source Strategy Plans and schemes for Open Source so9ware on OpenVMS Bre% Cameron / Camiel Vanderhoeven April 2016 AGENDA • Programming languages • Cloud • Integraon technologies • UNIX compability • Databases • Analy;cs • Web • Add-ons • Libraries/u;li;es • Other consideraons • SoDware development • Summary/conclusions tools • Quesons Programming languages • Scrip;ng languages – Lua – Perl (probably in reasonable shape) – Tcl – Python – Ruby – PHP – JavaScript (Node.js and friends) – Also need to consider tools and packages commonly used with these languages • Interpreted languages – Scala (JVM) – Clojure (JVM) – Erlang (poten;ally a good fit with OpenVMS; can get good support from ESL) – All the above are seeing increased adop;on 3 Programming languages • Compiled languages – Go (seeing rapid adop;on) – Rust (relavely new) – Apple Swi • Prerequisites (not all are required in all cases) – LLVM backend – Tweaks to OpenVMS C and C++ compilers – Support for latest language standards (C++) – Support for some GNU C/C++ extensions – Updates to OpenVMS C RTL and threads library 4 Programming languages 1. JavaScript 2. Java 3. PHP 4. Python 5. C# 6. C++ 7. Ruby 8. CSS 9. C 10. Objective-C 11. Perl 12. Shell 13. R 14. Scala 15. Go 16. Haskell 17. Matlab 18. Swift 19. Clojure 20. Groovy 21. Visual Basic 5 See h%p://redmonk.com/sogrady/2015/07/01/language-rankings-6-15/ Programming languages Growing programming languages, June 2015 Steve O’Grady published another edi;on of his great popularity study on programming languages: RedMonk Programming Language Rankings: June 2015. As usual, it is a very valuable piece. There are many take-away from this research. -
Structured Foreign Types
Ftypes: Structured foreign types Andrew W. Keep R. Kent Dybvig Indiana University fakeep,[email protected] Abstract When accessing scalar elements within an ftype, the value of the High-level programming languages, like Scheme, typically repre- scalar is automatically marshaled into the equivalent Scheme rep- sent data in ways that differ from the host platform to support resentation. When setting scalar elements, the Scheme value is consistent behavior across platforms and automatic storage man- checked to ensure compatibility with the specified foreign type, and agement, i.e., garbage collection. While crucial to the program- then marshaled into the equivalent foreign representation. Ftypes ming model, differences in data representation can complicate in- are well integrated into the system, with compiler support for ef- teraction with foreign programs and libraries that employ machine- ficient access to foreign data and debugger support for convenient dependent data structures that do not readily support garbage col- inspection of foreign data. lection. To bridge this gap, many high-level languages feature for- The ftype syntax is convenient and flexible. While it is similar in eign function interfaces that include some ability to interact with some ways to foreign data declarations in other Scheme implemen- foreign data, though they often do not provide complete control tations, and language design is largely a matter of taste, we believe over the structure of foreign data, are not always fully integrated our syntax is cleaner and more intuitive than most. Our system also into the language and run-time system, and are often not as effi- has a more complete set of features, covering all C data types along cient as possible. -
Overview Guide Release 21B F45060-01
Oracle Utilities Customer Care and Billing Cloud Service Overview Guide Release 21B F45060-01 August 2021 Oracle Utilities Customer Care and Billing Cloud Service Release 21B Overview Guide Copyright © 2012, 2021 Oracle and/or its affiliates. All rights reserved. This software and related documentation are provided under a license agreement containing restrictions on use and disclosure and are protected by intellectual property laws. Except as expressly permitted in your license agreement or allowed by law, you may not use, copy, reproduce, translate, broadcast, modify, license, transmit, distribute, exhibit, perform, publish, or display any part, in any form, or by any means. Reverse engineering, disassembly, or decompilation of this software, unless required by law for interoperability, is prohibited. The information contained herein is subject to change without notice and is not warranted to be error-free. If you find any errors, please report them to us in writing. If this is software or related documentation that is delivered to the U.S. Government or anyone licensing it on behalf of the U.S. Government, then the following notice is applicable: U.S. GOVERNMENT END USERS: Oracle programs (including any operating system, integrated software, any programs embedded, installed or activated on delivered hardware, and modifications of such programs) and Oracle computer documentation or other Oracle data delivered to or accessed by U.S. Government end users are "commercial computer software" or "commercial computer software documentation" -
Shiny Server Administrator's Guide
Shiny Server Administrator’s Guide Shiny Server Professional v1.5.5 Copyright © 2017 RStudio, Inc. Contents 1 Getting Started 8 1.1 Introduction.........................................8 1.2 System Requirements...................................9 1.3 Installation.........................................9 1.3.1 Ubuntu (12.04+)..................................9 1.3.2 RedHat/CentOS (5.4+).............................. 10 1.3.3 SUSE Linux Enterprise Server (11+)....................... 11 1.3.4 Install Shiny.................................... 12 1.3.5 R Installation Location.............................. 13 1.4 Stopping and Starting................................... 14 1.4.1 systemd (RedHat 7, Ubuntu 15.04+, SLES 12+)................ 14 1.4.2 Upstart (Ubuntu 12.04 through 14.10, RedHat 6)................ 15 1.4.3 init.d (RedHat 5, SLES 11)............................ 16 2 Server Management 17 2.1 Default Configuration................................... 17 2.2 Server Hierarchy...................................... 18 2.2.1 Server........................................ 18 2.2.2 Location....................................... 19 2.2.3 Application..................................... 20 2.3 run_as ............................................ 20 2.3.1 :HOME_USER: .................................... 21 2.3.2 Running Shiny Server with Root Privileges................... 22 2.3.3 :AUTH_USER: .................................... 23 2.4 PAM Sessions........................................ 25 2.4.1 Session Profile.................................. -
Googletest - Tips and Frequently-Asked Questions About Google C++ Testing Framework - Google C++ Testing Framework - Google Project Hosting
8/23/13 FAQ - googletest - Tips and Frequently-Asked Questions about Google C++ Testing Framework - Google C++ Testing Framework - Google Project Hosting My favorites ▼ | Sign in googletest Google C++ Testing Framework Search projects Project Home Downloads Wiki Issues Source Search Current pages for Search FAQ Tips and FrequentlyAsked Questions about Google C++ Testing Framework Updated Jul 7, 2013 by [email protected] Why should I use Google Test instead of my favorite C++ testing framework? I'm getting warnings when compiling Google Test. Would you fix them? Why should not test case names and test names contain underscore? Why is it not recommended to install a precompiled copy of Google Test (for example, into /usr/local)? How do I generate 64bit binaries on Windows (using Visual Studio 2008)? Can I use Google Test on MinGW? Why does Google Test support EXPECT_EQ(NULL, ptr) and ASSERT_EQ(NULL, ptr) but not EXPECT_NE(NULL, ptr) and ASSERT_NE(NULL, ptr)? Does Google Test support running tests in parallel? Why don't Google Test run the tests in different threads to speed things up? Why aren't Google Test assertions implemented using exceptions? Why do we use two different macros for tests with and without fixtures? Why don't we use structs as test fixtures? Why are death tests implemented as assertions instead of using a test runner? My death test modifies some state, but the change seems lost after the death test finishes. Why? The compiler complains about "undefined references" to some static const member variables, but I did define them in the class body.