Fragment Identifiers for Plain Text Files
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Customizing and Extending Powerdesigner SAP Powerdesigner Documentation Collection Content
User Guide PUBLIC SAP PowerDesigner Document Version: 16.6.2 – 2017-01-05 Customizing and Extending PowerDesigner SAP PowerDesigner Documentation Collection Content 1 PowerDesigner Resource Files.................................................... 9 1.1 Opening Resource Files in the Editor.................................................10 1.2 Navigating and Searching in Resource Files............................................ 11 1.3 Editing Resource Files........................................................... 13 1.4 Saving Changes................................................................13 1.5 Sharing and Embedding Resource Files...............................................13 1.6 Creating and Copying Resource Files.................................................14 1.7 Specifying Directories to Search for Resource Files.......................................15 1.8 Comparing Resource Files........................................................ 15 1.9 Merging Resource Files.......................................................... 16 2 Extension Files................................................................18 2.1 Creating an Extension File.........................................................19 2.2 Attaching Extensions to a Model....................................................20 2.3 Exporting an Embedded Extension File for Sharing.......................................21 2.4 Extension File Properties......................................................... 21 2.5 Example: Adding a New Attribute from a Property -
IPBES Workshop on Biodiversity and Pandemics Report
IPBES Workshop on Biodiversity and Pandemics WORKSHOP REPORT *** Strictly Confidential and Embargoed until 3 p.m. CET on 29 October 2020 *** Please note: This workshop report is provided to you on condition of strictest confidentiality. It must not be shared, cited, referenced, summarized, published or commented on, in whole or in part, until the embargo is lifted at 3 p.m. CET/2 p.m. GMT/10 a.m. EDT on Thursday, 29 October 2020 This workshop report is released in a non-laid out format. It will undergo minor editing before being released in a laid-out format. Intergovernmental Platform on Biodiversity and Ecosystem Services 1 The IPBES Bureau and Multidisciplinary Expert Panel (MEP) authorized a workshop on biodiversity and pandemics that was held virtually on 27-31 July 2020 in accordance with the provisions on “Platform workshops” in support of Plenary- approved activities, set out in section 6.1 of the procedures for the preparation of Platform deliverables (IPBES-3/3, annex I). This workshop report and any recommendations or conclusions contained therein have not been reviewed, endorsed or approved by the IPBES Plenary. The workshop report is considered supporting material available to authors in the preparation of ongoing or future IPBES assessments. While undergoing a scientific peer-review, this material has not been subjected to formal IPBES review processes. 2 Contents 4 Preamble 5 Executive Summary 12 Sections 1 to 5 14 Section 1: The relationship between people and biodiversity underpins disease emergence and provides opportunities -
Writing Mathematical Expressions in Plain Text – Examples and Cautions Copyright © 2009 Sally J
Writing Mathematical Expressions in Plain Text – Examples and Cautions Copyright © 2009 Sally J. Keely. All Rights Reserved. Mathematical expressions can be typed online in a number of ways including plain text, ASCII codes, HTML tags, or using an equation editor (see Writing Mathematical Notation Online for overview). If the application in which you are working does not have an equation editor built in, then a common option is to write expressions horizontally in plain text. In doing so you have to format the expressions very carefully using appropriately placed parentheses and accurate notation. This document provides examples and important cautions for writing mathematical expressions in plain text. Section 1. How to Write Exponents Just as on a graphing calculator, when writing in plain text the caret key ^ (above the 6 on a qwerty keyboard) means that an exponent follows. For example x2 would be written as x^2. Example 1a. 4xy23 would be written as 4 x^2 y^3 or with the multiplication mark as 4*x^2*y^3. Example 1b. With more than one item in the exponent you must enclose the entire exponent in parentheses to indicate exactly what is in the power. x2n must be written as x^(2n) and NOT as x^2n. Writing x^2n means xn2 . Example 1c. When using the quotient rule of exponents you often have to perform subtraction within an exponent. In such cases you must enclose the entire exponent in parentheses to indicate exactly what is in the power. x5 The middle step of ==xx52− 3 must be written as x^(5-2) and NOT as x^5-2 which means x5 − 2 . -
Xincluding Plain-Text Fragments for Symmetry and Profit Piotr Bański, University of Warsaw, [email protected]
XIncluding plain-text fragments for symmetry and profit Piotr Bański, University of Warsaw, [email protected] <xi:include href=”resource.xml” parse=”text|xml” Summary xpointer=”fragment_identifier” /> XML for the annotation of images, audio or video is by necessity of the stand-off kind: the annotations are virtually anchored to the parse=“xml” parse=“text” binary stream (typically by x,y coordinates or time offsets). Work on language resource annotation has extended this approach to plain text, where annotations are anchored by character offsets. This is referred to as extreme stand-off markup. No generic XML tools or standards support it, but... they could, fairly easily. inclusion of inclusion of inclusion of inclusion of Rationale the entire the entire a fragment a fragment ISO Language Annotation Framework (e.g. Ide & Romary, 2007) re- XML text of an XML of a text commends that data be kept as read-only plain text, with one or mo- resource resource resource resource re layers of XML annotation identifying individual spans of charac- ters and adding metadata to them (identifying e.g. segments of va- rious levels of granularity, parts of speech, syntactic or discourse @xpointer present functions, etc.) no @xpointer However, the only way to handle this (as evidenced by the American National Corpus), is to use in-house tools working on correspon- dence semantics for hyperlinks (see Bański, 2010, for terminology What makes it impossible right now? and more remarks). 1. XInclude Ban: XInclude Rec, 3.1: “The xpointer attribute must not be present when parse="text".” But character streams can do better! Because text is what XML is built out of and what it contains, instead of correspondence 2. -
W3C Working Draft: Scalable Vector
next contents properties index Scalable Vector Graphics (SVG) 1.0 Specification W3C Working Draft 03 March 2000 This version: http://www.w3.org/TR/2000/03/WD-SVG-20000303 (Available as: PDF, zip archive of HTML) Previous public version: http://www.w3.org/TR/1999/WD-SVG-19991203/ Latest public version: http://www.w3.org/TR/SVG/ Editor: Jon Ferraiolo <[email protected]> Authors: See author list Copyright ©1998, 1999, 2000 W3C® (MIT, INRIA, Keio), All Rights Reserved. W3C liability, trademark, document use and software licensing rules apply. Abstract This specification defines the features and syntax for Scalable Vector Graphics (SVG), a language for describing two-dimensional vector and mixed vector/raster graphics in XML. Status of this document This document is a public review draft version of the SVG specification. This working draft attempts to address review comments that were received during the initial Last Call period, which started 12 August 1999, and also incorporates other modifications resulting from continuing collaboration with other working groups and continuing work within the SVG working group. With the publication of this draft, the SVG specification enters a second "Last Call". The second Last Call period will end on 31 March, 2000. The SVG specification is going through a second Last Call review process to provide the public and other working groups an opportunity to review the changes to the specification since the initial Last Call period. A complete list of all changes since the initial Last Call version of the specification is available in Appendix L: Change History. Last call comments should be sent to [email protected]. -
How Many Bits Are in a Byte in Computer Terms
How Many Bits Are In A Byte In Computer Terms Periosteal and aluminum Dario memorizes her pigeonhole collieshangie count and nagging seductively. measurably.Auriculated and Pyromaniacal ferrous Gunter Jessie addict intersperse her glockenspiels nutritiously. glimpse rough-dries and outreddens Featured or two nibbles, gigabytes and videos, are the terms bits are in many byte computer, browse to gain comfort with a kilobyte est une unité de armazenamento de armazenamento de almacenamiento de dados digitais. Large denominations of computer memory are composed of bits, Terabyte, then a larger amount of nightmare can be accessed using an address of had given size at sensible cost of added complexity to access individual characters. The binary arithmetic with two sets render everything into one digit, in many bits are a byte computer, not used in detail. Supercomputers are its back and are in foreign languages are brainwashed into plain text. Understanding the Difference Between Bits and Bytes Lifewire. RAM, any sixteen distinct values can be represented with a nibble, I already love a Papst fan since my hybrid head amp. So in ham of transmitting or storing bits and bytes it takes times as much. Bytes and bits are the starting point hospital the computer world Find arrogant about the Base-2 and bit bytes the ASCII character set byte prefixes and binary math. Its size can vary depending on spark machine itself the computing language In most contexts a byte is futile to bits or 1 octet In 1956 this leaf was named by. Pages Bytes and Other Units of Measure Robelle. This function is used in conversion forms where we are one series two inputs. -
Automatically Adapting Programs for Mixed-Precision Floating-Point Computation
Automatically Adapting Programs for Mixed-Precision Floating-Point Computation Michael O. Lam and Bronis R. de Supinski and Jeffrey K. Hollingsworth Matthew P. LeGendre Dept. of Computer Science Center for Applied Scientific Computing University of Maryland Lawrence Livermore National Laboratory College Park, MD, USA Livermore, CA, USA [email protected], [email protected] [email protected], [email protected] ABSTRACT IEEE standard provides for different levels of precision by As scientific computation continues to scale, efficient use of varying the field width, with the most common widths being floating-point arithmetic processors is critical. Lower preci- 32 bits (\single" precision) and 64 bits (\double" precision). sion allows streaming architectures to perform more opera- Figure 1 graphically represents these formats. tions per second and can reduce memory bandwidth pressure Double-precision arithmetic generally results in more ac- on all architectures. However, using a precision that is too curate computations, but with several costs. The main cost low for a given algorithm and data set leads to inaccurate re- is the higher memory bandwidth and storage requirement, sults. In this paper, we present a framework that uses binary which are twice that of single precision. Another cost is instrumentation and modification to build mixed-precision the reduced opportunity for parallelization, such as on the configurations of existing binaries that were originally devel- x86 architecture, where packed 128-bit XMM registers can oped to use only double-precision. This framework allows only hold and operate on two double-precision numbers si- developers to explore mixed-precision configurations with- multaneously compared to four numbers with single preci- out modifying their source code, and it enables automatic sion. -
Understanding JSON Schema Release 2020-12
Understanding JSON Schema Release 2020-12 Michael Droettboom, et al Space Telescope Science Institute Sep 14, 2021 Contents 1 Conventions used in this book3 1.1 Language-specific notes.........................................3 1.2 Draft-specific notes............................................4 1.3 Examples.................................................4 2 What is a schema? 7 3 The basics 11 3.1 Hello, World!............................................... 11 3.2 The type keyword............................................ 12 3.3 Declaring a JSON Schema........................................ 13 3.4 Declaring a unique identifier....................................... 13 4 JSON Schema Reference 15 4.1 Type-specific keywords......................................... 15 4.2 string................................................... 17 4.2.1 Length.............................................. 19 4.2.2 Regular Expressions...................................... 19 4.2.3 Format.............................................. 20 4.3 Regular Expressions........................................... 22 4.3.1 Example............................................. 23 4.4 Numeric types.............................................. 23 4.4.1 integer.............................................. 24 4.4.2 number............................................. 25 4.4.3 Multiples............................................ 26 4.4.4 Range.............................................. 26 4.5 object................................................... 29 4.5.1 Properties........................................... -
Programming Curriculum
PARC VLP PROGRAMMING CURRICULUM WWW.PARCROBOTICS.ORG Overview Study of programming languages, paradigms and data structures. Chapter 1: Programming Basics Sections A. What is programming? B. What is a programming language? C. Writing source code D. Running your code E. Using IDE Chapter 2: Programming Syntax Sections A. Why Python?A. Why Python? B. Basic statementsB. Basic statements and expressions and expressions C. Troubleshooting issues C. Troubleshooting issues Chapter 3: Variables and Data Types Sections A. IntroductionA. to Introductionvariables and to data variables types and data types B. WorkingB.W withorking variables with variables across Languages across Languages C. Working with numbers C. Working with numbers D. Working with strings E. WorkingD. with commentsWorking with strings E. Working with comments Chapter 4: Conditional Code Sections: A. Making decisions in code B. Exploring conditional code C. Working with simple conditions D. Conditionals across languages PAN-AFRICAN ROBOTICS COMPETITION 1 Chapter 1 SECTION A What is programming? Programming is the process of converting ideas into instructions that a computer can understand and execute. These instructions are specific and sequential. You can think of it as a recipe. Let's you want to prepare your favorite food; you would need first a list of ingredients and then a set of instructions as to which ingredients go in first. If you have ever cooked before or watched someone cook before you will know that the amount of each ingredient can dramatically affect the outcome. Computers are very literal. They try to execute our commands exactly. When we give them bad instructions, we might introduce bugs or even make the computer crash. -
Text File Text File Example Text Reading Overview
CS106A, Stanford Handout #53 Fall, 2003-04 Nick Parlante Files Text File The simple "text file" is one of the oldest and simplest types of file. For that reason, text files are one of the most universally standard ways to store information. A text file is something you could type up in a word processor, and save with the "plain text" option. A text file is made of a sequence of characters, organized as a series of horizontal lines of text. There is no notion of bold or italic or color applied to the characters; they are just plain text characters, as we would store in a String. Historically, text files have been made of the familiar roman keyboard alphabet – abcdef..xyz012..89!@#$.. – with the extremely standard ASCII encoding (American Standard Code for Information Interchange). More recently, text has grown to include the idea of unicode characters like ø and !, but the encodings for those are not yet as standard as ASCII. The .java files where we write our Java code are examples of text files. The text file is such a simple, flexible way to store information, it will be with us for a long time to come. If you want to store information in a simple, non-proprietary way, the text file is a great choice. XML files, which are a very modern way to store information, are a type of text file. Text File Example This is the first line of my 4 line text file, and this here is the 2nd. The above line is blank! The above example text file is 4 lines long. -
Plain Text & Character Encoding
Journal of eScience Librarianship Volume 10 Issue 3 Data Curation in Practice Article 12 2021-08-11 Plain Text & Character Encoding: A Primer for Data Curators Seth Erickson Pennsylvania State University Let us know how access to this document benefits ou.y Follow this and additional works at: https://escholarship.umassmed.edu/jeslib Part of the Scholarly Communication Commons, and the Scholarly Publishing Commons Repository Citation Erickson S. Plain Text & Character Encoding: A Primer for Data Curators. Journal of eScience Librarianship 2021;10(3): e1211. https://doi.org/10.7191/jeslib.2021.1211. Retrieved from https://escholarship.umassmed.edu/jeslib/vol10/iss3/12 Creative Commons License This work is licensed under a Creative Commons Attribution 4.0 License. This material is brought to you by eScholarship@UMMS. It has been accepted for inclusion in Journal of eScience Librarianship by an authorized administrator of eScholarship@UMMS. For more information, please contact [email protected]. ISSN 2161-3974 JeSLIB 2021; 10(3): e1211 https://doi.org/10.7191/jeslib.2021.1211 Full-Length Paper Plain Text & Character Encoding: A Primer for Data Curators Seth Erickson The Pennsylvania State University, University Park, PA, USA Abstract Plain text data consists of a sequence of encoded characters or “code points” from a given standard such as the Unicode Standard. Some of the most common file formats for digital data used in eScience (CSV, XML, and JSON, for example) are built atop plain text standards. Plain text representations of digital data are often preferred because plain text formats are relatively stable, and they facilitate reuse and interoperability. -
Limiting the Exposure of Plain Text Passwords in C
Limiting The Exposure of Plain Text Passwords in C# written by Austin Altmann | October 24, 2019 One vulnerability that we frequently look for when testing thick client applications is plain text passwords that are exposed in memory. Microsoft provides the SecureString to help protect passwords in memory, but what it does not provide is a perfect solution to actually using the SecureString when sending web requests. And as you’ll see below, there is none, but there are some safer ways to operate. NetworkCredential Might Be Good Enough If you’re handling passwords in forms other than the login, NetworkCredential won’t be the best tool for the job. But if you want to use an authentication scheme like Basic or Digest, you might be satisfied implementing a CredentialCache and NetworkCredential as seen here. After all, there’s a NetworkCredential constructor with a SecureString password argument. However, the password will be exposed in memory as a string when preparing to send a WebRequest with the credentials. Each authentication scheme makes a call to the NetworkCredential’s InternalGetPassword function which will return the password in plain text. internal string InternalGetPassword() { string decryptedString = UnsafeNclNativeMethods.SecureStringHelper.CreateString(m_passw ord); return decryptedString; } The String Problem The entire point of using a SecureString is to limit the exposure of the plain text password in memory (see the blog title). Strings are immutable and therefore cannot be cleared on command. Their values will exist in memory until the garbage collector rolls around. If strings are used to handle the plain text password, it may exist in more addresses and for longer than anticipated.