A GROOVY Way to Enhance Your SAS Life
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Operator Overloading ______
Chapter 10: Operator Overloading _________________________________________________________________________________________________________ Consider the following C++ code snippet: vector<string> myVector(kNumStrings); for(vector<string>::iterator itr = myVector.begin(); itr != myVector.end(); ++itr) *itr += "Now longer!"; Here, we create a vector<string> of a certain size, then iterate over it concatenating “Now longer!” to each of the strings. Code like this is ubiquitous in C++, and initially does not appear all that exciting. However, let's take a closer look at how this code is structured. First, let's look at exactly what operations we're performing on the iterator: vector<string> myVector(kNumStrings); for(vector<string>::iterator itr = myVector.begin(); itr != myVector.end(); ++itr) *itr += "Now longer!"; In this simple piece of code, we're comparing the iterator against myVector.end() using the != operator, incrementing the iterator with the ++ operator, and dereferencing the iterator with the * operator. At a high level, this doesn't seem all that out of the ordinary, since STL iterators are designed to look like regular pointers and these operators are all well-defined on pointers. But the key thing to notice is that STL iterators aren't pointers, they're objects, and !=, *, and ++ aren't normally defined on objects. We can't write code like ++myVector or *myMap = 137, so why can these operations be applied to vector<string>::iterator? Similarly, notice how we're concatenating the string “Now longer!” onto the end of the string: vector<string> myVector(kNumStrings); for(vector<string>::iterator itr = myVector.begin(); itr != myVector.end(); ++itr) *itr += "Now longer!"; Despite the fact that string is an object, somehow C++ “knows” what it means to apply += to strings. -
Reference Guide
Apache Syncope - Reference Guide Version 2.1.9 Table of Contents 1. Introduction. 2 1.1. Identity Technologies. 2 1.1.1. Identity Stores . 2 1.1.2. Provisioning Engines . 4 1.1.3. Access Managers . 5 1.1.4. The Complete Picture . 5 2. Architecture. 7 2.1. Core . 7 2.1.1. REST . 7 2.1.2. Logic . 8 2.1.3. Provisioning . 8 2.1.4. Workflow. 9 2.1.5. Persistence . 9 2.1.6. Security . 9 2.2. Admin UI. 10 2.2.1. Accessibility . 10 2.3. End-user UI. 12 2.3.1. Password Reset . 12 2.3.2. Accessibility . 13 2.4. CLI . 15 2.5. Third Party Applications. 15 2.5.1. Eclipse IDE Plugin . 15 2.5.2. Netbeans IDE Plugin. 15 3. Concepts . 16 3.1. Users, Groups and Any Objects . 16 3.2. Type Management . 17 3.2.1. Schema . 17 Plain . 17 Derived . 18 Virtual . 18 3.2.2. AnyTypeClass . 19 3.2.3. AnyType . 19 3.2.4. RelationshipType . 21 3.2.5. Type Extensions . 22 3.3. External Resources. 23 3.3.1. Connector Bundles . 24 3.3.2. Connector Instance details . 24 3.3.3. External Resource details . 25 3.3.4. Mapping . 26 3.3.5. Linked Accounts . 29 3.4. Realms . 29 3.4.1. Realm Provisioning . 30 3.4.2. LogicActions . 31 3.5. Entitlements. 31 3.6. Privileges . 31 3.7. Roles. 31 3.7.1. Delegated Administration . 32 3.8. Provisioning. 33 3.8.1. Overview. 33 3.8.2. -
Property Mapping: a Simple Technique for Mobile Robot Programming
Property Mapping: a simple technique for mobile robot programming Illah R. Nourbakhsh The Robotics Institute, Carnegie Mellon University Pittsburgh, PA 15213 [email protected] Abstract In this paper we present robot observability as a The mobile robot programming problem is a software predictor for diagnostic transparency. Then, we present a engineering challenge that is not easily conquered using language-independent technique called property mapping contemporary software engineering best practices. We for constructing robot programs that are diagnostically propose robot observability as a measure of the diagnostic transparent and thereby achieve high degrees of transparency of a situated robot program, then describe reliability. property mapping as a simple, language-independent approach to implementing reliable robot programs by maximizing robot observability. Examples from real- The Robot Programming Problem world, working robots are given in Lisp and Java. A mobile robot is a situated automata, or a module that comprises one part of a closed system together with the Introduction environment. Fig. 1 shows the standard depiction of a robot, with its outputs labeled as actions and the outputs The recent availability of inexpensive, reliable robot of the environment in turn labeled as percepts. chassis (e.g. ActivMedia Pioneer, IS-Robotics Magellan, Nomad Scout) has broadened the accessibility of mobile robotics research. Because these robots consist of fixed E hardware out-of-the-box, this technology is shifting the actions A P percepts emphasis of mobile robot research from a joint hardware and software design process toward hardware-unaware R mobile robot programming. This is a software design problem, and yet software Figure 1: The standard view of an embedded robot engineering best practices are not very helpful. -
Unravel Data Systems Version 4.5
UNRAVEL DATA SYSTEMS VERSION 4.5 Component name Component version name License names jQuery 1.8.2 MIT License Apache Tomcat 5.5.23 Apache License 2.0 Tachyon Project POM 0.8.2 Apache License 2.0 Apache Directory LDAP API Model 1.0.0-M20 Apache License 2.0 apache/incubator-heron 0.16.5.1 Apache License 2.0 Maven Plugin API 3.0.4 Apache License 2.0 ApacheDS Authentication Interceptor 2.0.0-M15 Apache License 2.0 Apache Directory LDAP API Extras ACI 1.0.0-M20 Apache License 2.0 Apache HttpComponents Core 4.3.3 Apache License 2.0 Spark Project Tags 2.0.0-preview Apache License 2.0 Curator Testing 3.3.0 Apache License 2.0 Apache HttpComponents Core 4.4.5 Apache License 2.0 Apache Commons Daemon 1.0.15 Apache License 2.0 classworlds 2.4 Apache License 2.0 abego TreeLayout Core 1.0.1 BSD 3-clause "New" or "Revised" License jackson-core 2.8.6 Apache License 2.0 Lucene Join 6.6.1 Apache License 2.0 Apache Commons CLI 1.3-cloudera-pre-r1439998 Apache License 2.0 hive-apache 0.5 Apache License 2.0 scala-parser-combinators 1.0.4 BSD 3-clause "New" or "Revised" License com.springsource.javax.xml.bind 2.1.7 Common Development and Distribution License 1.0 SnakeYAML 1.15 Apache License 2.0 JUnit 4.12 Common Public License 1.0 ApacheDS Protocol Kerberos 2.0.0-M12 Apache License 2.0 Apache Groovy 2.4.6 Apache License 2.0 JGraphT - Core 1.2.0 (GNU Lesser General Public License v2.1 or later AND Eclipse Public License 1.0) chill-java 0.5.0 Apache License 2.0 Apache Commons Logging 1.2 Apache License 2.0 OpenCensus 0.12.3 Apache License 2.0 ApacheDS Protocol -
Third Party Library Attributions
Third Party Library Attributions Table of Contents 1. Summary 2. PureWeb® Software Third Party Library Attributions 3. PureWeb iOS Client Libraries 3.1. Cocoa Lumberjack Framework 3.2. Sodium Crypto Library 4. ResolutionMD Server Libraries 4.1. Apache Commons 4.2. Apache PDFBox 4.3. Apache HttpComponents 4.4. Arial Unicode Font 4.5. Auto 4.6. Boost 4.7. Bootstrap 4.8. Cairo 4.9. CanJS 4.10. Curl 4.11. dcm4che2 4.12. dcm4che3 4.13. dcm4che5 4.14. DCMTK 4.15. Drools Expert 4.16. Eclipse Implementation of JAXB 4.17. Eclipse Metro 4.18. Eclipse ORB 4.19. Eclipse Project for JAX-WS 4.20. FFmpeg 4.21. FreeMarker 4.22. Freetype 4.23. FTGL 4.24. Glew 4.25. google-api-java-client 4.26. google-api-java-client-services 4.27. google-code-prettify 4.28. google-http-java-client 4.29. google-oauth-java-client 4.30. grcp-java 4.31. guava 4.32. html5shiv 4.33. HAPI 4.34. ICU 4.35. ITK 4.36. Java implementation of JSON Web Token (JWT) 4.37. Jersey 4.38. Joda-Time 4.39. jQuery 4.40. jQuery File Upload Plugin 4.41. jQuery Hashchange 4.42. jQuery UI 4.43. JSON Web Token support for the JVM 4.44. jsoup Java HTML Parser 4.45. Lo-Dash 4.46. libpng 4.47. llvm 4.48. logback 4.49. Mesa 3D Graphics Library 4.50. minizip 4.51. PixelMed 4.52. opencensus-java 4.53. requirejs 4.54. SLF4J 4.55. wysihtml5 4.56. zlib 5. -
A.13 Apache Groovy
Oracle® Big Data Spatial and Graph User©s Guide and Reference Release 1.2 E67958-03 May 2016 Oracle Big Data Spatial and Graph User's Guide and Reference, Release 1.2 E67958-03 Copyright © 2015, 2016, Oracle and/or its affiliates. All rights reserved. Primary Authors: Chuck Murray, Harihara Subramanian, Donna Carver Contributors: Bill Beauregard, Hector Briseno, Hassan Chafi, Zazhil Herena, Sungpack Hong, Roberto Infante, Hugo Labra, Gabriela Montiel-Moreno, Siva Ravada, Carlos Reyes, Korbinian Schmid, Jane Tao, Zhe (Alan) Wu 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 END USERS: Oracle programs, including any operating system, integrated software, any programs installed on the hardware, and/or documentation, delivered to U.S. Government end users are "commercial computer software" pursuant to the applicable Federal Acquisition Regulation and agency- specific supplemental regulations. -
Migration Guide
MIGRATION GUIDE DIGITAL EXPERIENCE MANAGER 7.2 1 MIGRATION GUIDE DIGITAL EXPERIENCE MANAGER 7.2 SUMMARY 1 INTRODUCTION ...................................................................................................................................................... 4 2 HOW TO UPGRADE FROM DIGITAL EXPERIENCE MANAGER 7.1 TO 7.2 ..................................... 5 2.1 Code base review and potential impacts .................................................................. 5 2.2 Deployment scripts/procedure review ....................................................................... 5 2.3 Test environment migration ............................................................................................ 5 3 RENDER FILTER CHANGE .................................................................................................................................... 6 3.1 Render Filters priority is now a Float instead of an Integer ............................. 6 3.1.1 Impact on the migration to Digital Experience 7.2............................................... 6 4 CUSTOM IMPLEMENTATIONS OF USERS AND GROUPS PROVIDERS ........................................... 7 5 CODE THAT NEEDS TO BE UPGRADED ........................................................................................................ 8 5.1 Overridden jmix:list’s hidden.header views need to be upgraded ................ 8 5.2 Apache PDFBox was upgraded to version 2.0.3 with API changes ............... 8 5.3 osgi:list interface needs to be changed .................................................................... -
Open Source Licenses for Inspire R11
Open Source Licenses for Inspire R11 An Overview Version 11.0 GMC Software AG © 2016 GMC Software AG. All rights reserved. http://www.gmc.net/documentation CLASSIFICATION: PUBLIC Open Source Licenses for Inspire An Overview Product version 11.0 Document version 11.0.0.1 Release date: November 2016 GMC Software AG www.gmc.net See also all GMC documentation online Should you have any queries, suggestions or comments concerning these materials, please do not hesitate to contact us at [email protected]. This document contains information classified as Public. Multiple sites of the GMC Software group of companies hold certificates to ISO 9001, ISO 27001 and ISO 14001. Copyright Information contained within this document may contain technical inaccuracies or typographical errors. Changes will be added periodically and modifications will be made thereto without prior notification. GMC Software AG does not enter into any obligations or responsibilities regarding the content of this document and does not assume any legal liability – neither expressed or implied – for its accuracy, completeness and/or usefulness. Copying of the software or manual on to any data storage medium or in any other way, except for explicit company internal use, is strictly forbidden without the prior written authorization of GMC Software AG. Failure to comply with these restrictions is liable to prosecution. Trademarks GMC Software Technology and its logo are trademarks and service marks of GMC Software AG registered in Switzerland, the US and numerous other countries. Adobe and Adobe ® PDF Library™ are trademarks or registered trademarks of Adobe Systems Inc. in the US and other countries. -
C++ Properties -- a Library Solution
Document Number: SC22/WG21/N1615=04-0055 Date: 2004-04-09 Author: Lois Goldthwaite Email: [email protected] C++ Properties -- a Library Solution N1600 is a summary of the "property" language extension that is proposed for C++/CLI. I can't help feeling that this is an effort to impose an alien idiom on C++. There is too much of "the compiler will perform black magic behind your back" in it. There are too many ways in which the programmer must be aware that some [pseudo-]data members must be handled in different ways from [real] data members. The C++/CLI draft spec (N1608)says in 8.8.4 and 18.4 that "A property is a member that behaves as if it were a field." I think "behaves" is absolutely the wrong word to use here. A property is behavior that pretends to be state. From an OO design point of view, I think this is A Bad Idea. Behaviour should be visible; state should not. Further on, the document continues, "the X and Y properties can be read and written as though they were fields. In the example above, the properties are used to implement data hiding within the class itself." The subtle advantage of "hiding" a private data member by treating it as a public data member escapes me. Properties are just syntactic saccharine for getter and setter member functions for individual fields. C++ experts have spent years trying to educate people NOT to use public data, to use member functions instead, and now we propose to introduce something that looks just like public data? Do we really want to try to teach people that public fields are still bad, but properties are good, even though they look just the same from outside the class? Moreover, these public fields have side effects! There is a danger that too many novice programmers will prototype their designs using public fields, with the intent of changing them to properties later, if and when it proves necessary, and the general quality of code will suffer because of it. -
Return of Organization Exempt from Income
OMB No. 1545-0047 Return of Organization Exempt From Income Tax Form 990 Under section 501(c), 527, or 4947(a)(1) of the Internal Revenue Code (except black lung benefit trust or private foundation) Open to Public Department of the Treasury Internal Revenue Service The organization may have to use a copy of this return to satisfy state reporting requirements. Inspection A For the 2011 calendar year, or tax year beginning 5/1/2011 , and ending 4/30/2012 B Check if applicable: C Name of organization The Apache Software Foundation D Employer identification number Address change Doing Business As 47-0825376 Name change Number and street (or P.O. box if mail is not delivered to street address) Room/suite E Telephone number Initial return 1901 Munsey Drive (909) 374-9776 Terminated City or town, state or country, and ZIP + 4 Amended return Forest Hill MD 21050-2747 G Gross receipts $ 554,439 Application pending F Name and address of principal officer: H(a) Is this a group return for affiliates? Yes X No Jim Jagielski 1901 Munsey Drive, Forest Hill, MD 21050-2747 H(b) Are all affiliates included? Yes No I Tax-exempt status: X 501(c)(3) 501(c) ( ) (insert no.) 4947(a)(1) or 527 If "No," attach a list. (see instructions) J Website: http://www.apache.org/ H(c) Group exemption number K Form of organization: X Corporation Trust Association Other L Year of formation: 1999 M State of legal domicile: MD Part I Summary 1 Briefly describe the organization's mission or most significant activities: to provide open source software to the public that we sponsor free of charge 2 Check this box if the organization discontinued its operations or disposed of more than 25% of its net assets. -
Open Source Software Licenses, Notices, and Information
Intergraph InPursuit® WebRMS 03.06.1909 Open Source Software Licenses, Notices, and Information This information is provided for Intergraph InPursuit® WebRMS, a software program of Intergraph® Corporation D/B/A Hexagon Safety & Infrastructure® (“Hexagon”). Source Code Access Intergraph InPursuit WebRMS may include components licensed pursuant to open source software licenses with an obligation to offer the recipient source code. Please see below the list of such components and the information needed to access the source code repository for each. In the event the source code is inaccessible using the information below, please email [email protected]. Component, version Link to download repository Hibernate ORM https://github.com/hibernate/hibernate-orm/releases/tag/3.6.10.Final 3.6.10.Final javassist 3.12.0.GA https://github.com/jboss-javassist/javassist/releases/tag/rel_3_12_0_ga wsdl4j 1.6.1 https://sourceforge.net/projects/wsdl4j/files/WSDL4J/1.6.1/ aspectj 1.8.4 http://git.eclipse.org/c/aspectj/org.aspectj.git/tag/?h=V1_8_4 displaytag 1.2.9 https://github.com/hexagonSI-RMS/displaytag-hexagon Open Source Software Components Intergraph InPursuit WebRMS may include the open source software components identified below. This document provides the notices and information regarding any such open source software for informational purposes only. Please see the product license agreement for Intergraph InPursuit WebRMS to determine the terms and conditions that apply to the open source software. Hexagon reserves all other rights. Component, version URL Copyright License link ActiveMQ KahaDB, version http://activemq.apache.org/kahadb.html © 2005-2012 Apache Software Foundation License 1 5.5.1 ActiveMQ, version 5.5.1 http://activemq.apache.org/ © 2005-2012 Apache Software Foundation License 1 Activiti, version 5.14.0 https://www.activiti.org/ © 2010-2016 Alfresco Software, Ltd. -
Analysis of a Data Processing Pipeline for Generating Knowledge Graphs from Unstructured Data
Analysis of a Data Processing Pipeline for Generating Knowledge Graphs from Unstructured Data Paras Kumar Analysis of a Data Processing Pipeline for Generating Knowledge Graphs from Unstructured Data Master’s Thesis in Computer Science EIT Digital - Cloud Computing & Services Distributed Systems Group Faculty of Electrical Engineering, Mathematics, and Computer Science Delft University of Technology Paras Kumar 21st August 2020 Author Paras Kumar Title Analysis of a Data Processing Pipeline for Generating Knowledge Graphs from Unstructured Data MSc presentation 28th August 2020 Graduation Committee Prof. dr. ir. D. H. J. Epema Delft University of Technology Prof. dr. M.M. Specht Delft University of Technology Dr. Gregor Lammel¨ Market Logic Software AG Abstract With the rapid growth of unstructured data across different mediums, it exposes new challenges for its analysis. To overcome this, data processing pipelines are designed with the help of different tools and technologies for the analysis of data at different stages. One of the applications which we find useful for our company is the creation of knowledge graphs for better representation and understanding of relations in the data. Knowledge graph is a structure of representing information where nodes represent the entities and edges define the relationships among them. The construction of a knowledge graph is a process of extracting meaningful in- formation of entities and relations from unstructured textual data and storing it in a graph database. In this project, we are using Neo4j as a graph database for the efficient storage of data in the form of nodes and relations. To achieve this goal, our first research question proposes the architecture and implementation of a data processing pipeline for the construction of knowledge graphs using unstructured textual data.