DVCS Or a New Way to Use Version Control Systems for Freebsd
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Debian Developer's Reference Version 12.0, Released on 2021-09-01
Debian Developer’s Reference Release 12.0 Developer’s Reference Team 2021-09-01 CONTENTS 1 Scope of This Document 3 2 Applying to Become a Member5 2.1 Getting started..............................................5 2.2 Debian mentors and sponsors......................................6 2.3 Registering as a Debian member.....................................6 3 Debian Developer's Duties 9 3.1 Package Maintainer's Duties.......................................9 3.1.1 Work towards the next stable release............................9 3.1.2 Maintain packages in stable .................................9 3.1.3 Manage release-critical bugs.................................. 10 3.1.4 Coordination with upstream developers............................ 10 3.2 Administrative Duties.......................................... 10 3.2.1 Maintaining your Debian information............................. 11 3.2.2 Maintaining your public key.................................. 11 3.2.3 Voting.............................................. 11 3.2.4 Going on vacation gracefully.................................. 12 3.2.5 Retiring............................................. 12 3.2.6 Returning after retirement................................... 13 4 Resources for Debian Members 15 4.1 Mailing lists............................................... 15 4.1.1 Basic rules for use....................................... 15 4.1.2 Core development mailing lists................................. 15 4.1.3 Special lists........................................... 16 4.1.4 Requesting new -
Generating Commit Messages from Git Diffs
Generating Commit Messages from Git Diffs Sven van Hal Mathieu Post Kasper Wendel Delft University of Technology Delft University of Technology Delft University of Technology [email protected] [email protected] [email protected] ABSTRACT be exploited by machine learning. The hypothesis is that methods Commit messages aid developers in their understanding of a con- based on machine learning, given enough training data, are able tinuously evolving codebase. However, developers not always doc- to extract more contextual information and latent factors about ument code changes properly. Automatically generating commit the why of a change. Furthermore, Allamanis et al. [1] state that messages would relieve this burden on developers. source code is “a form of human communication [and] has similar Recently, a number of different works have demonstrated the statistical properties to natural language corpora”. Following the feasibility of using methods from neural machine translation to success of (deep) machine learning in the field of natural language generate commit messages. This work aims to reproduce a promi- processing, neural networks seem promising for automated commit nent research paper in this field, as well as attempt to improve upon message generation as well. their results by proposing a novel preprocessing technique. Jiang et al. [12] have demonstrated that generating commit mes- A reproduction of the reference neural machine translation sages with neural networks is feasible. This work aims to reproduce model was able to achieve slightly better results on the same dataset. the results from [12] on the same and a different dataset. Addition- When applying more rigorous preprocessing, however, the per- ally, efforts are made to improve upon these results by applying a formance dropped significantly. -
Beginning Portable Shell Scripting from Novice to Professional
Beginning Portable Shell Scripting From Novice to Professional Peter Seebach 10436fmfinal 1 10/23/08 10:40:24 PM Beginning Portable Shell Scripting: From Novice to Professional Copyright © 2008 by Peter Seebach All rights reserved. No part of this work may be reproduced or transmitted in any form or by any means, electronic or mechanical, including photocopying, recording, or by any information storage or retrieval system, without the prior written permission of the copyright owner and the publisher. ISBN-13 (pbk): 978-1-4302-1043-6 ISBN-10 (pbk): 1-4302-1043-5 ISBN-13 (electronic): 978-1-4302-1044-3 ISBN-10 (electronic): 1-4302-1044-3 Printed and bound in the United States of America 9 8 7 6 5 4 3 2 1 Trademarked names may appear in this book. Rather than use a trademark symbol with every occurrence of a trademarked name, we use the names only in an editorial fashion and to the benefit of the trademark owner, with no intention of infringement of the trademark. Lead Editor: Frank Pohlmann Technical Reviewer: Gary V. Vaughan Editorial Board: Clay Andres, Steve Anglin, Ewan Buckingham, Tony Campbell, Gary Cornell, Jonathan Gennick, Michelle Lowman, Matthew Moodie, Jeffrey Pepper, Frank Pohlmann, Ben Renow-Clarke, Dominic Shakeshaft, Matt Wade, Tom Welsh Project Manager: Richard Dal Porto Copy Editor: Kim Benbow Associate Production Director: Kari Brooks-Copony Production Editor: Katie Stence Compositor: Linda Weidemann, Wolf Creek Press Proofreader: Dan Shaw Indexer: Broccoli Information Management Cover Designer: Kurt Krames Manufacturing Director: Tom Debolski Distributed to the book trade worldwide by Springer-Verlag New York, Inc., 233 Spring Street, 6th Floor, New York, NY 10013. -
Efficient Algorithms for Comparing, Storing, and Sharing
EFFICIENT ALGORITHMS FOR COMPARING, STORING, AND SHARING LARGE COLLECTIONS OF EVOLUTIONARY TREES A Dissertation by SUZANNE JUDE MATTHEWS Submitted to the Office of Graduate Studies of Texas A&M University in partial fulfillment of the requirements for the degree of DOCTOR OF PHILOSOPHY May 2012 Major Subject: Computer Science EFFICIENT ALGORITHMS FOR COMPARING, STORING, AND SHARING LARGE COLLECTIONS OF EVOLUTIONARY TREES A Dissertation by SUZANNE JUDE MATTHEWS Submitted to the Office of Graduate Studies of Texas A&M University in partial fulfillment of the requirements for the degree of DOCTOR OF PHILOSOPHY Approved by: Chair of Committee, Tiffani L. Williams Committee Members, Nancy M. Amato Jennifer L. Welch James B. Woolley Head of Department, Hank W. Walker May 2012 Major Subject: Computer Science iii ABSTRACT Efficient Algorithms for Comparing, Storing, and Sharing Large Collections of Evolutionary Trees. (May 2012) Suzanne Jude Matthews, B.S.; M.S., Rensselaer Polytechnic Institute Chair of Advisory Committee: Dr. Tiffani L. Williams Evolutionary relationships between a group of organisms are commonly summarized in a phylogenetic (or evolutionary) tree. The goal of phylogenetic inference is to infer the best tree structure that represents the relationships between a group of organisms, given a set of observations (e.g. molecular sequences). However, popular heuristics for inferring phylogenies output tens to hundreds of thousands of equally weighted candidate trees. Biologists summarize these trees into a single structure called the consensus tree. The central assumption is that the information discarded has less value than the information retained. But, what if this assumption is not true? In this dissertation, we demonstrate the value of retaining and studying tree collections. -
Distributed Configuration Management: Mercurial CSCI 5828 Spring 2012 Mark Grebe Configuration Management
Distributed Configuration Management: Mercurial CSCI 5828 Spring 2012 Mark Grebe Configuration Management Configuration Management (CM) systems are used to store code and other artifacts in Software Engineering projects. Since the early 70’s, there has been a progression of CM systems used for Software CM, starting with SCCS, and continuing through RCS, CVS, and Subversion. All of these systems used a single, centralized repository structure. Distributed Configuration Management As opposed to traditional CM systems, Distributed Configuration Management Systems are ones where there does not have to be a central repository. Each developer has a copy of the entire repository and history. A central repository may be optionally used, but it is equal to all of the other developer repositories. Advantages of Distributed Configuration Management Distributed tools are faster than centralized ones since metadata is stored locally. Can use tool to manage changes locally while not connected to the network where server resides. Scales more easily, since all of the load is not on a central server. Allows private work that is controlled, but not released to the larger community. Distributed systems are normally designed to make merges easy, since they are done more often. Mercurial Introduction Mercurial is a cross-platform, distributed configuration management application. In runs on most modern OS platforms, including Windows, Linux, Solaris, FreeBSD, and Mac OSX. Mercurial is written 95% in Python, with the remainder written in C for speed. Mercurial is available as a command line tool on all of the platforms, and with GUI support programs on many of the platforms. Mercurial is customizable with extensions, hooks, and output templates. -
Sistemas De Control De Versiones De Última Generación (DCA)
Tema 10 - Sistemas de Control de Versiones de última generación (DCA) Antonio-M. Corbí Bellot Tema 10 - Sistemas de Control de Versiones de última generación (DCA) II HISTORIAL DE REVISIONES NÚMERO FECHA MODIFICACIONES NOMBRE Tema 10 - Sistemas de Control de Versiones de última generación (DCA) III Índice 1. ¿Qué es un Sistema de Control de Versiones (SCV)?1 2. ¿En qué consiste el control de versiones?1 3. Conceptos generales de los SCV (I) 1 4. Conceptos generales de los SCV (II) 2 5. Tipos de SCV. 2 6. Centralizados vs. Distribuidos en 90sg 2 7. ¿Qué opciones tenemos disponibles? 2 8. ¿Qué podemos hacer con un SCV? 3 9. Tipos de ramas 3 10. Formas de integrar una rama en otra (I)3 11. Formas de integrar una rama en otra (II)4 12. SCV’s con los que trabajaremos 4 13. Git (I) 5 14. Git (II) 5 15. Git (III) 5 16. Git (IV) 6 17. Git (V) 6 18. Git (VI) 7 19. Git (VII) 7 20. Git (VIII) 7 21. Git (IX) 8 22. Git (X) 8 23. Git (XI) 9 Tema 10 - Sistemas de Control de Versiones de última generación (DCA) IV 24. Git (XII) 9 25. Git (XIII) 9 26. Git (XIV) 10 27. Git (XV) 10 28. Git (XVI) 11 29. Git (XVII) 11 30. Git (XVIII) 12 31. Git (XIX) 12 32. Git. Vídeos relacionados 12 33. Mercurial (I) 12 34. Mercurial (II) 12 35. Mercurial (III) 13 36. Mercurial (IV) 13 37. Mercurial (V) 13 38. Mercurial (VI) 14 39. -
Higher Inductive Types (Hits) Are a New Type Former!
Git as a HIT Dan Licata Wesleyan University 1 1 Darcs Git as a HIT Dan Licata Wesleyan University 1 1 HITs 2 Generator for 2 equality of equality HITs Homotopy Type Theory is an extension of Agda/Coq based on connections with homotopy theory [Hofmann&Streicher,Awodey&Warren,Voevodsky,Lumsdaine,Garner&van den Berg] 2 Generator for 2 equality of equality HITs Homotopy Type Theory is an extension of Agda/Coq based on connections with homotopy theory [Hofmann&Streicher,Awodey&Warren,Voevodsky,Lumsdaine,Garner&van den Berg] Higher inductive types (HITs) are a new type former! 2 Generator for 2 equality of equality HITs Homotopy Type Theory is an extension of Agda/Coq based on connections with homotopy theory [Hofmann&Streicher,Awodey&Warren,Voevodsky,Lumsdaine,Garner&van den Berg] Higher inductive types (HITs) are a new type former! They were originally invented[Lumsdaine,Shulman,…] to model basic spaces (circle, spheres, the torus, …) and constructions in homotopy theory 2 Generator for 2 equality of equality HITs Homotopy Type Theory is an extension of Agda/Coq based on connections with homotopy theory [Hofmann&Streicher,Awodey&Warren,Voevodsky,Lumsdaine,Garner&van den Berg] Higher inductive types (HITs) are a new type former! They were originally invented[Lumsdaine,Shulman,…] to model basic spaces (circle, spheres, the torus, …) and constructions in homotopy theory But they have many other applications, including some programming ones! 2 Generator for 2 equality of equality Patches Patch a a 2c2 diff b d = < b c c --- > d 3 3 id a a b b -
Brno University of Technology Bulk Operation
BRNO UNIVERSITY OF TECHNOLOGY VYSOKÉ UČENÍ TECHNICKÉ V BRNĚ FACULTY OF INFORMATION TECHNOLOGY FAKULTA INFORMAČNÍCH TECHNOLOGIÍ DEPARTMENT OF INFORMATION SYSTEMS ÚSTAV INFORMAČNÍCH SYSTÉMŮ BULK OPERATION ORCHESTRATION IN MULTIREPO CI/CD ENVIRONMENTS HROMADNÁ ORCHESTRÁCIA V MULTIREPO CI/CD PROSTREDIACH MASTER’S THESIS DIPLOMOVÁ PRÁCE AUTHOR Bc. JAKUB VÍŠEK AUTOR PRÁCE SUPERVISOR Ing. MICHAL KOUTENSKÝ VEDOUCÍ PRÁCE BRNO 2021 Brno University of Technology Faculty of Information Technology Department of Information Systems (DIFS) Academic year 2020/2021 Master's Thesis Specification Student: Víšek Jakub, Bc. Programme: Information Technology and Artificial Intelligence Specializatio Computer Networks n: Title: Bulk Operation Orchestration in Multirepo CI/CD Environments Category: Networking Assignment: 1. Familiarize yourself with the principle of CI/CD and existing solutions. 2. Familiarize yourself with the multirepo approach to software development. 3. Analyze the shortcomings of existing CI/CD solutions in the context of multirepo development with regard to user comfort. Focus on scheduling and deploying bulk operations on multiple interdependent repositories as part of a single logical branching pipeline. 4. Propose and design a solution to these shortcomings. 5. Implement said solution. 6. Test and evaluate the solution's functionality in a production environment. Recommended literature: Humble, Jez, and David Farley. Continuous delivery. Upper Saddle River, NJ: Addison- Wesley, 2011. Forsgren, Nicole, Jez Humble, and Gene Kim. Accelerate : building and scaling high performing technology organizations. Portland, OR: IT Revolution Press, 2018. Nicolas Brousse. 2019. The issue of monorepo and polyrepo in large enterprises. In Proceedings of the Conference Companion of the 3rd International Conference on Art, Science, and Engineering of Programming (Programming '19). Association for Computing Machinery, New York, NY, USA, Article 2, 1-4. -
Version Control – Agile Workflow with Git/Github
Version Control – Agile Workflow with Git/GitHub 19/20 November 2019 | Guido Trensch (JSC, SimLab Neuroscience) Content Motivation Version Control Systems (VCS) Understanding Git GitHub (Agile Workflow) References Forschungszentrum Jülich, JSC:SimLab Neuroscience 2 Content Motivation Version Control Systems (VCS) Understanding Git GitHub (Agile Workflow) References Forschungszentrum Jülich, JSC:SimLab Neuroscience 3 Motivation • Version control is one aspect of configuration management (CM). The main CM processes are concerned with: • System building • Preparing software for releases and keeping track of system versions. • Change management • Keeping track of requests for changes, working out the costs and impact. • Release management • Preparing software for releases and keeping track of system versions. • Version control • Keep track of different versions of software components and allow independent development. [Ian Sommerville,“Software Engineering”] Forschungszentrum Jülich, JSC:SimLab Neuroscience 4 Motivation • Keep track of different versions of software components • Identify, store, organize and control revisions and access to it • Essential for the organization of multi-developer projects is independent development • Ensure that changes made by different developers do not interfere with each other • Provide strategies to solve conflicts CONFLICT Alice Bob Forschungszentrum Jülich, JSC:SimLab Neuroscience 5 Content Motivation Version Control Systems (VCS) Understanding Git GitHub (Agile Workflow) References Forschungszentrum Jülich, -
Revision Control
Revision Control Tomáš Kalibera, (Peter Libič) Department of Distributed and Dependable Systems http://d3s.mff.cuni.cz CHARLES UNIVERSITY PRAGUE Faculty of Mathematics and Physics Problems solved by revision control What is it good for? Keeping history of system evolution • What a “system” can be . Source code (single file, source tree) . Textual document . In general anything what can evolve – can have versions • Why ? . Safer experimentation – easy reverting to an older version • Additional benefits . Tracking progress (how many lines have I added yesterday) . Incremental processing (distributing patches, …) Allowing concurrent work on a system • Why concurrent work ? . Size and complexity of current systems (source code) require team work • How can concurrent work be organized ? 1. Independent modifications of (distinct) system parts 2. Resolving conflicting modifications 3. Checking that the whole system works . Additional benefits . Evaluating productivity of team members Additional benefits of code revision control • How revision control helps . Code is isolated at one place (no generated files) . Notifications when a new code version is available • Potential applications that benefit . Automated testing • Compile errors, functional errors, performance regressions . Automated building . Backup • Being at one place, the source is isolated from unneeded generated files . Code browsing • Web interface with hyperlinked code Typical architecture Working copy Source code repository (versioned sources) synchronization Basic operations • Check-out . Create a working copy of repository content • Update . Update working copy using repository (both to latest and historical version) • Check-in (Commit) . Propagate working copy back to repository • Diff . Show differences between two versions of source code Simplified usage scenario Source code Check-out or update repository Working 1 copy 2 Modify & Test Check-in 3 Exporting/importing source trees • Import . -
Distributed Revision Control with Mercurial
Distributed revision control with Mercurial Bryan O’Sullivan Copyright c 2006, 2007 Bryan O’Sullivan. This material may be distributed only subject to the terms and conditions set forth in version 1.0 of the Open Publication License. Please refer to Appendix D for the license text. This book was prepared from rev 028543f67bea, dated 2008-08-20 15:27 -0700, using rev a58a611c320f of Mercurial. Contents Contents i Preface 2 0.1 This book is a work in progress ...................................... 2 0.2 About the examples in this book ..................................... 2 0.3 Colophon—this book is Free ....................................... 2 1 Introduction 3 1.1 About revision control .......................................... 3 1.1.1 Why use revision control? .................................... 3 1.1.2 The many names of revision control ............................... 4 1.2 A short history of revision control .................................... 4 1.3 Trends in revision control ......................................... 5 1.4 A few of the advantages of distributed revision control ......................... 5 1.4.1 Advantages for open source projects ............................... 6 1.4.2 Advantages for commercial projects ............................... 6 1.5 Why choose Mercurial? .......................................... 7 1.6 Mercurial compared with other tools ................................... 7 1.6.1 Subversion ............................................ 7 1.6.2 Git ................................................ 8 1.6.3 -
DVCS Or a New Way to Use Version Control Systems for Freebsd
Brief history of VCS FreeBSD context & gures Is Arch/baz suited for FreeBSD? Mercurial to the rescue New processes & policies needed Conclusions DVCS or a new way to use Version Control Systems for FreeBSD Ollivier ROBERT <[email protected]> BSDCan 2006 Ottawa, Canada May, 12-13th, 2006 Ollivier ROBERT <[email protected]> DVCS or a new way to use Version Control Systems for FreeBSD Brief history of VCS FreeBSD context & gures Is Arch/baz suited for FreeBSD? Mercurial to the rescue New processes & policies needed Conclusions Agenda 1 Brief history of VCS 2 FreeBSD context & gures 3 Is Arch/baz suited for FreeBSD? 4 Mercurial to the rescue 5 New processes & policies needed 6 Conclusions Ollivier ROBERT <[email protected]> DVCS or a new way to use Version Control Systems for FreeBSD Brief history of VCS FreeBSD context & gures Is Arch/baz suited for FreeBSD? Mercurial to the rescue New processes & policies needed Conclusions The ancestors: SCCS, RCS File-oriented Use a subdirectory to store deltas and metadata Use lock-based architecture Support shared developments through NFS (fragile) SCCS is proprietary (System V), RCS is Open Source a SCCS clone exists: CSSC You can have a central repository with symlinks (RCS) Ollivier ROBERT <[email protected]> DVCS or a new way to use Version Control Systems for FreeBSD Brief history of VCS FreeBSD context & gures Is Arch/baz suited for FreeBSD? Mercurial to the rescue New processes & policies needed Conclusions CVS, the de facto VCS for the free world Initially written as shell wrappers over RCS then rewritten in C Centralised server Easy UI Use sandboxes to avoid locking Simple 3-way merges Can be replicated through CVSup or even rsync Extensive documentation (papers, websites, books) Free software and used everywhere (SourceForge for example) Ollivier ROBERT <[email protected]> DVCS or a new way to use Version Control Systems for FreeBSD Brief history of VCS FreeBSD context & gures Is Arch/baz suited for FreeBSD? Mercurial to the rescue New processes & policies needed Conclusions CVS annoyances and aws BUT..