Google Diff Match Patch Java Example
Total Page:16
File Type:pdf, Size:1020Kb
Load more
Recommended publications
-
Autocad Command Aliases
AutoCAD and Its Applications Advanced Appendix D AutoCAD Command Aliases Command Alias 3DALIGN 3AL 3DFACE 3F 3DMOVE 3M 3DORBIT 3DO, ORBIT, 3DVIEW, ISOMETRICVIEW 3DPOLY 3P 3DPRINT 3DP, 3DPLOT, RAPIDPROTOTYPE 3DROTATE 3R 3DSCALE 3S 3DWALK 3DNAVIGATE, 3DW ACTRECORD ARR ACTSTOP ARS -ACTSTOP -ARS ACTUSERINPUT ARU ACTUSERMESSAGE ARM -ACTUSERMESSAGE -ARM ADCENTER ADC, DC, DCENTER ALIGN AL ALLPLAY APLAY ANALYSISCURVATURE CURVATUREANALYSIS ANALYSISZEBRA ZEBRA APPLOAD AP ARC A AREA AA ARRAY AR -ARRAY -AR ATTDEF ATT -ATTDEF -ATT Copyright Goodheart-Willcox Co., Inc. Appendix D — AutoCAD Command Aliases 1 May not be reproduced or posted to a publicly accessible website. Command Alias ATTEDIT ATE -ATTEDIT -ATE, ATTE ATTIPEDIT ATI BACTION AC BCLOSE BC BCPARAMETER CPARAM BEDIT BE BLOCK B -BLOCK -B BOUNDARY BO -BOUNDARY -BO BPARAMETER PARAM BREAK BR BSAVE BS BVSTATE BVS CAMERA CAM CHAMFER CHA CHANGE -CH CHECKSTANDARDS CHK CIRCLE C COLOR COL, COLOUR COMMANDLINE CLI CONSTRAINTBAR CBAR CONSTRAINTSETTINGS CSETTINGS COPY CO, CP CTABLESTYLE CT CVADD INSERTCONTROLPOINT CVHIDE POINTOFF CVREBUILD REBUILD CVREMOVE REMOVECONTROLPOINT CVSHOW POINTON Copyright Goodheart-Willcox Co., Inc. Appendix D — AutoCAD Command Aliases 2 May not be reproduced or posted to a publicly accessible website. Command Alias CYLINDER CYL DATAEXTRACTION DX DATALINK DL DATALINKUPDATE DLU DBCONNECT DBC, DATABASE, DATASOURCE DDGRIPS GR DELCONSTRAINT DELCON DIMALIGNED DAL, DIMALI DIMANGULAR DAN, DIMANG DIMARC DAR DIMBASELINE DBA, DIMBASE DIMCENTER DCE DIMCONSTRAINT DCON DIMCONTINUE DCO, DIMCONT DIMDIAMETER DDI, DIMDIA DIMDISASSOCIATE DDA DIMEDIT DED, DIMED DIMJOGGED DJO, JOG DIMJOGLINE DJL DIMLINEAR DIMLIN, DLI DIMORDINATE DOR, DIMORD DIMOVERRIDE DOV, DIMOVER DIMRADIUS DIMRAD, DRA DIMREASSOCIATE DRE DIMSTYLE D, DIMSTY, DST DIMTEDIT DIMTED DIST DI, LENGTH DIVIDE DIV DONUT DO DRAWINGRECOVERY DRM DRAWORDER DR Copyright Goodheart-Willcox Co., Inc. -
Tortoisemerge a Diff/Merge Tool for Windows Version 1.11
TortoiseMerge A diff/merge tool for Windows Version 1.11 Stefan Küng Lübbe Onken Simon Large TortoiseMerge: A diff/merge tool for Windows: Version 1.11 by Stefan Küng, Lübbe Onken, and Simon Large Publication date 2018/09/22 18:28:22 (r28377) Table of Contents Preface ........................................................................................................................................ vi 1. TortoiseMerge is free! ....................................................................................................... vi 2. Acknowledgments ............................................................................................................. vi 1. Introduction .............................................................................................................................. 1 1.1. Overview ....................................................................................................................... 1 1.2. TortoiseMerge's History .................................................................................................... 1 2. Basic Concepts .......................................................................................................................... 3 2.1. Viewing and Merging Differences ...................................................................................... 3 2.2. Editing Conflicts ............................................................................................................. 3 2.3. Applying Patches ........................................................................................................... -
Why Is C. Diff So Hard to Culture and Kill?
Why is C. diff so hard to culture and kill? Clostridium difficile, commonly referred to as C. diff, is the #1 nosocomial infection in hospitals (it actually kicked staph infections out of the top spot). At Assurance, we test for this organism as part of our Gastrointestinal (GI) panel. C. diff is a gram-positive anaerobe, meaning it does not like oxygen. Its defensive mechanism is sporulation – where it essentially surrounds itself with a tough outer layer of keratin and can live in water, soil, etc. for over a decade. For reference, anthrax is another organism that sporulates. Once C. diff sporulates, it is very hard to kill and in fact, bleach is one of the only disinfectants that work. Unfortunately, it can spread quickly throughout hospitals. Spores of C. diff are found all over hospital surfaces and even in some hospital water systems. It’s the most threatening for those who are immunocompromised or the elderly, who are the most likely to end up with C. diff infections. With our PCR testing, we’re looking for the C. diff organism itself but we’re also looking at the production of toxin. Unless it produces toxins A AND B together OR toxin B, C. diff doesn’t cause severe disease. Many babies are exposed to it during birth or in the hospitals and may test positive on our GI panel. Unless they are expressing those toxins (both toxin A&B or just toxin B) it is not considered a clinical infection. Studies show that toxins A&B together causes infection, as well as toxin B. -
Homotopical Patch Theory (Expanded Version)
Homotopical Patch Theory (Expanded Version) Carlo Angiuli ∗ Edward Morehouse ∗ Daniel R. Licata Carnegie Mellon University Carnegie Mellon University Wesleyan University [email protected] [email protected] [email protected] Robert Harper ∗ Carnegie Mellon University [email protected] Abstract In homotopy theory, one studies topological spaces by way of their Homotopy type theory is an extension of Martin-Löf type theory, points, paths (between points), homotopies (paths or continuous de- based on a correspondence with homotopy theory and higher cat- formations between paths), homotopies between homotopies (paths egory theory. In homotopy type theory, the propositional equality between paths between paths), and so on. In type theory, a space type becomes proof-relevant, and corresponds to paths in a space. corresponds to a type A. Points of a space correspond to elements This allows for a new class of datatypes, called higher inductive a; b : A. Paths in a space are represented by elements of the identity types, which are specified by constructors not only for points but type (propositional equality), which we notate p : a =A b. Homo- also for paths. In this paper, we consider a programming application topies between paths p and q correspond to elements of the iterated identity type p = q. The rules for the identity type allow one of higher inductive types. Version control systems such as Darcs are a=Ab based on the notion of patches—syntactic representations of edits to define the operations on paths that are considered in homotopy to a repository. We show how patch theory can be developed in ho- theory. -
U S P I M S B C S Improving Parallelism in Git-Grep Matheus
University of São Paulo Institute of Mathematics and Statistics Bachelor of Computer Science Improving Parallelism in git-grep Matheus Tavares Bernardino Final Essay [v2.0] mac 499 - Capstone Project Program: Computer Science Advisor: Prof. Dr. Alfredo Goldman São Paulo January 19, 2020 Abstract Matheus Tavares Bernardino. Improving Parallelism in git-grep. Capstone Project Report (Bachelor). Institute of Mathematics and Statistics, University of São Paulo, São Paulo, 2019. Version control systems have become standard use in medium to large software development. And, among them, Git has become the most popular (Stack Exchange, Inc., 2018). Being used to manage a large variety of projects, with dierent magnitudes (in both content and history sizes), it must be build to scale. With this in mind, Git’s grep command was made parallel using a producer-consumer mechanism. However, when operating in Git’s internal object store (e.g. for a search in older revisions), the multithreaded version became slower than the sequential code. For this reason, threads were disabled in the object store case. The present work aims to contribute to the Git project improving the parallelization of the grep command and re-enabling threads for all cases. Analyzes were made on git-grep to locate its hotspots, i.e. where it was consumming the most time, and investigate how that could be mitigated. Between other ndings, these studies showed that the object decompression rou- tines accounted for up to one third of git-grep’s total execution time. These routines, despite being thread-safe, had to be serialized in the rst threaded implementation, because of the surrouding thread-unsafe object reading machinery. -
Project1: Build a Small Scanner/Parser
Project1: Build A Small Scanner/Parser Introducing Lex, Yacc, and POET cs5363 1 Project1: Building A Scanner/Parser Parse a subset of the C language Support two types of atomic values: int float Support one type of compound values: arrays Support a basic set of language concepts Variable declarations (int, float, and array variables) Expressions (arithmetic and boolean operations) Statements (assignments, conditionals, and loops) You can choose a different but equivalent language Need to make your own test cases Options of implementation (links available at class web site) Manual in C/C++/Java (or whatever other lang.) Lex and Yacc (together with C/C++) POET: a scripting compiler writing language Or any other approach you choose --- must document how to download/use any tools involved cs5363 2 This is just starting… There will be two other sub-projects Type checking Check the types of expressions in the input program Optimization/analysis/translation Do something with the input code, output the result The starting project is important because it determines which language you can use for the other projects Lex+Yacc ===> can work only with C/C++ POET ==> work with POET Manual ==> stick to whatever language you pick This class: introduce Lex/Yacc/POET to you cs5363 3 Using Lex to build scanners lex.yy.c MyLex.l lex/flex lex.yy.c a.out gcc/cc Input stream a.out tokens Write a lex specification Save it in a file (MyLex.l) Compile the lex specification file by invoking lex/flex lex MyLex.l A lex.yy.c file is generated -
GNU M4, Version 1.4.7 a Powerful Macro Processor Edition 1.4.7, 23 September 2006
GNU M4, version 1.4.7 A powerful macro processor Edition 1.4.7, 23 September 2006 by Ren´eSeindal This manual is for GNU M4 (version 1.4.7, 23 September 2006), a package containing an implementation of the m4 macro language. Copyright c 1989, 1990, 1991, 1992, 1993, 1994, 2004, 2005, 2006 Free Software Foundation, Inc. Permission is granted to copy, distribute and/or modify this document under the terms of the GNU Free Documentation License, Version 1.2 or any later version published by the Free Software Foundation; with no Invariant Sections, no Front-Cover Texts, and no Back-Cover Texts. A copy of the license is included in the section entitled “GNU Free Documentation License.” i Table of Contents 1 Introduction and preliminaries ................ 3 1.1 Introduction to m4 ............................................. 3 1.2 Historical references ............................................ 3 1.3 Invoking m4 .................................................... 4 1.4 Problems and bugs ............................................. 8 1.5 Using this manual .............................................. 8 2 Lexical and syntactic conventions ............ 11 2.1 Macro names ................................................. 11 2.2 Quoting input to m4........................................... 11 2.3 Comments in m4 input ........................................ 11 2.4 Other kinds of input tokens ................................... 12 2.5 How m4 copies input to output ................................ 12 3 How to invoke macros........................ -
GNU M4, Version 1.4.19 a Powerful Macro Processor Edition 1.4.19, 28 May 2021
GNU M4, version 1.4.19 A powerful macro processor Edition 1.4.19, 28 May 2021 by Ren´eSeindal, Fran¸coisPinard, Gary V. Vaughan, and Eric Blake ([email protected]) This manual (28 May 2021) is for GNU M4 (version 1.4.19), a package containing an implementation of the m4 macro language. Copyright c 1989{1994, 2004{2014, 2016{2017, 2020{2021 Free Software Foundation, Inc. Permission is granted to copy, distribute and/or modify this document under the terms of the GNU Free Documentation License, Version 1.3 or any later version published by the Free Software Foundation; with no Invariant Sections, no Front-Cover Texts, and no Back-Cover Texts. A copy of the license is included in the section entitled \GNU Free Documentation License." i Table of Contents 1 Introduction and preliminaries ::::::::::::::::: 3 1.1 Introduction to m4 :::::::::::::::::::::::::::::::::::::::::::::: 3 1.2 Historical references :::::::::::::::::::::::::::::::::::::::::::: 3 1.3 Problems and bugs ::::::::::::::::::::::::::::::::::::::::::::: 4 1.4 Using this manual :::::::::::::::::::::::::::::::::::::::::::::: 5 2 Invoking m4::::::::::::::::::::::::::::::::::::::: 7 2.1 Command line options for operation modes ::::::::::::::::::::: 7 2.2 Command line options for preprocessor features ::::::::::::::::: 8 2.3 Command line options for limits control ::::::::::::::::::::::: 10 2.4 Command line options for frozen state ::::::::::::::::::::::::: 11 2.5 Command line options for debugging :::::::::::::::::::::::::: 11 2.6 Specifying input files on the command line ::::::::::::::::::::: -
Tracking Computer Use with the Windows® Registry Dataset Doug
Tracking Computer Use with the Windows® Registry Dataset Doug White Disclaimer Trade names and company products are mentioned in the text or identified. In no case does such identification imply recommendation or endorsement by the National Institute of Standards and Technology, nor does it imply that the products are necessarily the best available for the purpose. Statement of Disclosure This research was funded by the National Institute of Standards and Technology Office of Law Enforcement Standards, the Department of Justice National Institute of Justice, the Federal Bureau of Investigation and the National Archives and Records Administration. National Software Reference Library & Reference Data Set The NSRL is conceptually three objects: • A physical collection of software • A database of meta-information • A subset of the database, the Reference Data Set The NSRL is designed to collect software from various sources and incorporate file profiles computed from this software into a Reference Data Set of information. Windows® Registry Data Set It is possible to compile a historical list of applications based on RDS metadata and residue files. Many methods can be used to remove application files, but these may not purge the Registry. Examining the Registry for residue can augment a historical list of applications or provide additional context about system use. Windows® Registry Data Set (WiReD) The WiReD contains changes to the Registry caused by application installation, de-installation, execution or other modifying operations. The applications are chosen from the NSRL collection, to be of interest to computer forensic examiners. WiReD is currently an experimental prototype. NIST is soliciting feedback from the computer forensics community to improve and extend its usefulness. -
Oracle Goldengate for Windows and UNIX
Oracle® GoldenGate Windows and UNIX Administrator’s Guide 11g Release 2 Patch Set 1 (11.2.1.0.1) E29397-01 April 2012 Oracle GoldenGate Windows and UNIX Administrator’s Guide 11g Release 2 Patch Set 1 (11.2.1.0.1) E29397-01 Copyright © 2012, 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, the following notice is applicable: U.S. GOVERNMENT RIGHTS Programs, software, databases, and related documentation and technical data delivered to U.S. Government customers are "commercial computer software" or "commercial technical data" pursuant to the applicable Federal Acquisition Regulation and agency-specific supplemental regulations. As such, the use, duplication, disclosure, modification, and adaptation shall be subject to the restrictions and license terms set forth in the applicable Government contract, and, to the extent applicable by the terms of the Government contract, the additional rights set forth in FAR 52.227-19, Commercial Computer Software License (December 2007). -
IBM Tivoli Endpoint Manager for Patch Management Continuous Patch Compliance Visibility and Enforcement
IBM Software Data Sheet Tivoli IBM Tivoli Endpoint Manager for Patch Management Continuous patch compliance visibility and enforcement With software and the threats against that software constantly evolving, Highlights organizations need an effective way to assess, deploy and manage a con- stant flow of patches for the myriad operating systems and applications in ● Automatically manage patches for multi- their heterogeneous environments. For system administrators responsible ple operating systems and applications across hundreds of thousands of end- for potentially tens or hundreds of thousands of endpoints running vari- points regardless of location, connection ous operating systems and software applications, patch management type or status can easily overwhelm already strained budgets and staff. IBM Tivoli® ● Reduce security and compliance risk by Endpoint Manager for Patch Management balances the need for fast slashing remediation cycles from weeks deployment and high availability with an automated, simplified patching to days or hours process that is administered from a single console. ● Gain greater visibility into patch compli- ance with flexible, real-time monitoring Tivoli Endpoint Manager for Patch Management, built on BigFix® and reporting technology, gives organizations access to comprehensive capabilities ● Provide up-to-date visibility and control for delivering patches for Microsoft® Windows®, UNIX®, Linux® and from a single management console Mac operating systems, third-party applications from vendors including Adobe®, Mozilla, Apple and Java™, and customer-supplied patches to endpoints—regardless of their location, connection type or status. Endpoints can include servers, laptops, desktops, and specialized equip- ment such as point-of-sale (POS) devices, ATMs, and self-service kiosks. Apply only the correct patches to the correct endpoint One approach to patch management is to create large patch files with a large update “payload” and distribute them to all of the endpoints, regardless of whether they already have all of the patches or not. -
An AWK to C++ Translator
An AWK to C++ Translator Brian W. Kernighan Bell Laboratories Murray Hill, NJ 07974 [email protected] ABSTRACT This paper describes an experiment to produce an AWK to C++ translator and an AWK class definition and supporting library. The intent is to generate efficient and read- able C++, so that the generated code will run faster than interpreted AWK and can also be modified and extended where an AWK program could not be. The AWK class and library can also be used independently of the translator to access AWK facilities from C++ pro- grams. 1. Introduction An AWK program [1] is a sequence of pattern-action statements: pattern { action } pattern { action } ... A pattern is a regular expression, numeric expression, string expression, or combination of these; an action is executable code similar to C. The operation of an AWK program is for each input line for each pattern if the pattern matches the input line do the action Variables in an AWK program contain string or numeric values or both according to context; there are built- in variables for useful values such as the input filename and record number. Operators work on strings or numbers, coercing the types of their operands as necessary. Arrays have arbitrary subscripts (‘‘associative arrays’’). Input is read and input lines are split into fields, called $1, $2, etc. Control flow statements are like those of C: if-else, while, for, do. There are user-defined and built-in functions for arithmetic, string, regular expression pattern-matching, and input and output to/from arbitrary files and processes.