Perforce and CVS
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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. -
Bluej Teamwork Repository Configuration
BlueJ Teamwork Repository Configuration Version 2.0 for BlueJ Version 2.5.0 (and 2.2.x) Davin McCall School of Engineering & IT, Deakin University 1 Introduction This document gives a brief description of how you might set up a version control repository for use with BlueJ’s teamwork features. It is intended mainly as a “quick start” guide and not as a complete reference – for that you should refer to the version control software documentation (i.e. the CVS manual or the Subversion manual) – but it does explain some BlueJ-specific concepts (such as how BlueJ supports the notion of student groups or teams). Setting up a repository usually requires a server to which you have “root” or administrator access. This may mean that you need to ask a Systems Administrator to set up the repository for you. Since BlueJ version 2.5.0, both Subversion and CVS are supported version control systems. BlueJ version 2.2.x supports only CVS. BlueJ versions prior to 2.2.0 did not support teamwork features. Chapters 2 and 3 explain how to set up and test a repository using CVS. Chapter 4 then covers the equivalent steps for using Subversion. 2 Setting up a simple single user CVS repository for testing the BlueJ teamwork features 2.1 Setting up the repository server On Unix / Linux / MacOS X: You must have the CVS software installed on the machine you intend to use as a server. There is a good chance that it is already installed, but if not, your vendor or distribution provider will almost certainly provide packages that can be installed. -
Useful Tools for Game Making
CMS.611J/6.073 Fall 2014 Useful Tools List This list is by no means complete, but should get you started. Talk to other folks in the class about their recommendations. Revision Control Version control software, provides backups and easy reversion. Perforce Mac/Win GUI (p4v): Heavily used in game http://www.perforce.com/dow industry. Commercial nloads/Perforce-Software-Ver software; you can use the sion-Management/complete_l Game Lab server. ist/Customer Subversion Command line: Open source, server-based http://subversion.apache.org/ Windows GUI: http://tortoisesvn.net/ Git Command line: Open source, distributed http://git-scm.com/ Mercurial Command line: Open source, distributed http://mercurial.selenic.com/ Windows GUI: http://tortoisehg.bitbucket.org/ SourceTree Mac/Win GUI: Not a source control system, http://www.sourcetreeapp.co just a GUI for Git and m/ Mercurial clients Revision Control Hosting SourceForge http://sourceforge.net/ git, mercurial, or subversion BitBucket https://bitbucket.org/ git or mercurial GitHub https://github.com/ git, has own (painful) GUI for Git 1 Image Editing MSPaint Windows, pre-installed Surprisingly useful quick pixel art editor (esp for prototypes) Paint.NET Windows, About as easy as MSPaint, but http://www.getpaint.net/download much more powerful .html Photoshop Mac, Windows New Media Center, 26-139 GIMP Many platforms, Easier than photoshop, at http://www.gimp.org/downloads/ least. Sound GarageBand Mac New Media Center, 26-139 Audacity Many platforms, Free, open source. http://audacity.sourceforge.ne -
Jenkins Job Builder Documentation Release 3.10.0
Jenkins Job Builder Documentation Release 3.10.0 Jenkins Job Builder Maintainers Aug 23, 2021 Contents 1 README 1 1.1 Developers................................................1 1.2 Writing a patch..............................................2 1.3 Unit Tests.................................................2 1.4 Installing without setup.py........................................2 2 Contents 5 2.1 Quick Start Guide............................................5 2.1.1 Use Case 1: Test a job definition................................5 2.1.2 Use Case 2: Updating Jenkins Jobs...............................5 2.1.3 Use Case 3: Working with JSON job definitions........................6 2.1.4 Use Case 4: Deleting a job...................................6 2.1.5 Use Case 5: Providing plugins info...............................6 2.2 Installation................................................6 2.2.1 Documentation.........................................7 2.2.2 Unit Tests............................................7 2.2.3 Test Coverage..........................................7 2.3 Configuration File............................................7 2.3.1 job_builder section.......................................8 2.3.2 jenkins section.........................................9 2.3.3 hipchat section.........................................9 2.3.4 stash section...........................................9 2.3.5 __future__ section.......................................9 2.4 Running.................................................9 2.4.1 Test Mode........................................... -
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.. -
Helix Authentication Service Administrator Guide 2021.1 May 2021 Copyright © 2020-2021 Perforce Software, Inc
Helix Authentication Service Administrator Guide 2021.1 May 2021 Copyright © 2020-2021 Perforce Software, Inc.. All rights reserved. All software and documentation of Perforce Software, Inc. is available from www.perforce.com. You can download and use Perforce programs, but you can not sell or redistribute them. You can download, print, copy, edit, and redistribute the documentation, but you can not sell it, or sell any documentation derived from it. You can not modify or attempt to reverse engineer the programs. This product is subject to U.S. export control laws and regulations including, but not limited to, the U.S. Export Administration Regulations, the International Traffic in Arms Regulation requirements, and all applicable end-use, end-user and destination restrictions. Licensee shall not permit, directly or indirectly, use of any Perforce technology in or by any U.S. embargoed country or otherwise in violation of any U.S. export control laws and regulations. Perforce programs and documents are available from our Web site as is. No warranty or support is provided. Warranties and support, along with higher capacity servers, are sold by Perforce. Perforce assumes no responsibility or liability for any errors or inaccuracies that might appear in this book. By downloading and using our programs and documents you agree to these terms. Perforce and Inter-File Branching are trademarks of Perforce. All other brands or product names are trademarks or registered trademarks of their respective companies or organizations. Contents How to use -
Staying out of the Swamp
Staying out of the server swamp Richard Baum Perforce Software October, 2001 Contents Introduction How do I tell if I'm in the swamp? Is your system CPU bound? Is your system memory bound? Is your system I/O bound? How can Perforce cause server swamp? Network Attached Storage Confusing and complex client mappings Background processes The Perforce error log Gigantic operations Conclusion Introduction Perforce runs extremely well when it is given the right resources. A Perforce server does not generally require much CPU. Memory and disk requirements correspond to the amount of data you wish to store. Conditions can sometimes conspire to change a well-performing server into a poorly-performing one. This talk will cover some of the things to watch out for to keep your Perforce server happy and healthy. The object of this talk is to familiarize you with what to look for so you can determine where the problem lies, and what to do so you can remedy the problem. In general, performance that a user will see is limited by the I/O bandwidth of the server and the speed of its connection with a client machine. A server that appears to not be responding in its typically speedy fashion may, in fact, be swamped with data and requests for data. How do I tell if I'm in the swamp? If you suspect that your Perforce server is swamped, the first things to do are to check whether it is, in fact, running, and to examine the machine that hosts the server for any obvious signs of a problem. -
Coverity Static Analysis
Coverity Static Analysis Quickly find and fix Overview critical security and Coverity® gives you the speed, ease of use, accuracy, industry standards compliance, and quality issues as you scalability that you need to develop high-quality, secure applications. Coverity identifies code critical software quality defects and security vulnerabilities in code as it’s written, early in the development process when it’s least costly and easiest to fix. Precise actionable remediation advice and context-specific eLearning help your developers understand how to fix their prioritized issues quickly, without having to become security experts. Coverity Benefits seamlessly integrates automated security testing into your CI/CD pipelines and supports your existing development tools and workflows. Choose where and how to do your • Get improved visibility into development: on-premises or in the cloud with the Polaris Software Integrity Platform™ security risk. Cross-product (SaaS), a highly scalable, cloud-based application security platform. Coverity supports 22 reporting provides a holistic, more languages and over 70 frameworks and templates. complete view of a project’s risk using best-in-class AppSec tools. Coverity includes Rapid Scan, a fast, lightweight static analysis engine optimized • Deployment flexibility. You for cloud-native applications and Infrastructure-as-Code (IaC). Rapid Scan runs decide which set of projects to do automatically, without additional configuration, with every Coverity scan and can also AppSec testing for: on-premises be run as part of full CI builds with conventional scan completion times. Rapid Scan can or in the cloud. also be deployed as a standalone scan engine in Code Sight™ or via the command line • Shift security testing left. -
Opinnäytetyö Ohjeet
Lappeenrannan–Lahden teknillinen yliopisto LUT School of Engineering Science Tietotekniikan koulutusohjelma Kandidaatintyö Mikko Mustonen PARHAITEN OPETUSKÄYTTÖÖN SOVELTUVAN VERSIONHALLINTAJÄRJESTELMÄN LÖYTÄMINEN Työn tarkastaja: Tutkijaopettaja Uolevi Nikula Työn ohjaaja: Tutkijaopettaja Uolevi Nikula TIIVISTELMÄ LUT-yliopisto School of Engineering Science Tietotekniikan koulutusohjelma Mikko Mustonen Parhaiten opetuskäyttöön soveltuvan versionhallintajärjestelmän löytäminen Kandidaatintyö 2019 31 sivua, 8 kuvaa, 2 taulukkoa Työn tarkastajat: Tutkijaopettaja Uolevi Nikula Hakusanat: versionhallinta, versionhallintajärjestelmä, Git, GitLab, SVN, Subversion, oppimateriaali Keywords: version control, version control system, Git, GitLab, SVN, Subversion, learning material LUT-yliopistossa on tietotekniikan opetuksessa käytetty Apache Subversionia versionhallintaan. Subversionin käyttö kuitenkin johtaa ylimääräisiin ylläpitotoimiin LUTin tietohallinnolle. Lisäksi Subversionin julkaisun jälkeen on tullut uusia versionhallintajärjestelmiä ja tässä työssä tutkitaankin, olisiko Subversion syytä vaihtaa johonkin toiseen versionhallintajärjestelmään opetuskäytössä. Työn tavoitteena on löytää opetuskäyttöön parhaiten soveltuva versionhallintajärjestelmä ja tuottaa sille opetusmateriaalia. Työssä havaittiin, että Git on suosituin versionhallintajärjestelmä ja se on myös suhteellisen helppo käyttää. Lisäksi GitLab on tutkimuksen mukaan Suomen yliopistoissa käytetyin ja ominaisuuksiltaan ja hinnaltaan sopivin Gitin web-käyttöliittymä. Näille tehtiin -
Teamcity 7.1 Documentation.Pdf
1. TeamCity Documentation . 4 1.1 What's New in TeamCity 7.1 . 5 1.2 What's New in TeamCity 7.0 . 14 1.3 Getting Started . 26 1.4 Concepts . 30 1.4.1 Agent Home Directory . 31 1.4.2 Agent Requirements . 32 1.4.3 Agent Work Directory . 32 1.4.4 Authentication Scheme . 33 1.4.5 Build Agent . 33 1.4.6 Build Artifact . 34 1.4.7 Build Chain . 35 1.4.8 Build Checkout Directory . 36 1.4.9 Build Configuration . 37 1.4.10 Build Configuration Template . 38 1.4.11 Build Grid . 39 1.4.12 Build History . 40 1.4.13 Build Log . 40 1.4.14 Build Number . 40 1.4.15 Build Queue . 40 1.4.16 Build Runner . 41 1.4.17 Build State . 41 1.4.18 Build Tag . 42 1.4.19 Build Working Directory . 43 1.4.20 Change . 43 1.4.21 Change State . 43 1.4.22 Clean Checkout . 44 1.4.23 Clean-Up . 45 1.4.24 Code Coverage . 46 1.4.25 Code Duplicates . 47 1.4.26 Code Inspection . 47 1.4.27 Continuous Integration . 47 1.4.28 Dependent Build . 47 1.4.29 Difference Viewer . 49 1.4.30 Guest User . 50 1.4.31 History Build . 51 1.4.32 Notifier . 51 1.4.33 Personal Build . 52 1.4.34 Pinned Build . 52 1.4.35 Pre-Tested (Delayed) Commit . 52 1.4.36 Project . 53 1.4.37 Remote Run . .. -
Perforce Tunables
Perforce Tunables Michael Shields Performance Lab Manager Perforce Software March, 2010 Abstract Tunables have been available in Perforce since the 2008.2 release. With help from Perforce, tunables can be used to modify some performance characteristics and limited changes to functionality. Though not strictly supported, Perforce would like to understand the effects of some of the tunables in customer environments. This paper discusses the importance of working with Perforce when considering the use of tunables. Also discussed is the mechanics of using tunables with the Perforce Server and clients. A strategy for implementing tunables is suggested. The tunables currently available are surveyed, detailing which might have an effect under what circumstances, and which should rarely be used and why. 1 Introduction Since the first releases of Perforce, there have been significant changes to both hardware and operating systems. Hardware typical of the mid-1990s included 167MHz UltraSPARC I or 166MHz Pentium processors, with perhaps a gigabyte or two of physical memory. Solaris 2.5 and Windows NT Server 3.51 were popular operating systems, and the Linux 2.0 kernel was first released in 1996. The hardware of the mid-1990s seems slow and small compared to current hardware consisting of several multi-core 3GHz Xeons or Opterons with tens or hundreds of gigabytes of physical memory. The performance of the Linux 2.6 kernel makes it a popular operating system on which to run today’s largest Perforce Servers. Perforce products have certainly evolved and improved since their first releases. Every Perforce release usually includes new features, enhancements, and performance improvements. -
Intellij IDEA, the Most Intelligent Java
IntelliJ IDEA, the most intelligent Java IDE IntelliJ IDEA, JetBrains’ flagship Java IDE, Every aspect of IntelliJ IDEA is specifically How does IntelliJ IDEA provides high-class support and productivity designed to maximize developer productiv- match up against competing tools? boosts for enterprise, mobile and web devel- ity. Together, powerful static code analysis opment in Java, Scala and Groovy, with all and ergonomic design make development Products versions in comparison the latest technologies and frameworks sup- a productive and enjoyable experience. ported out of the box. Compatibility with Operating systems Marketing / Market / Community comparison Community Comparison Platform More Information To learn more about the product, please visit our website at jetbrains.com/idea After IntelliJ IDEA has indexed your source languages and frameworks are at hand — IntelliJ IDEA is available in two editions: code, it ofers a blazingly fast and intelligent no plugin hustle included. While IntelliJ coding experience by giving relevant sug- IDEA is an IDE for Java, it also understands • Community Edition (free) gestions in every context: instant and clever and provides intelligent coding assistance • Ultimate Edition (paid) code completion, on-the-fly code analysis for a large variety of other languages such and reliable refactoring tools. Mission-critical as SQL, JPQL, HTML, JavaScript, and more, tools such as integration with version con- even when the language expression is inject- trols systems and a wide variety of supported ed into a String