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CodeDeploy DeploymentGroup OnPremisesTagSet
The
OnPremisesTagSet
property type specifies a list containing other lists of on-premises instance tag
groups. In order for an instance to be included in the deployment group, it must be
identified by all the tag groups in the list.
For information on using tags and tag groups to help manage your Amazon EC2 instances and on-premises instances, see Tagging Instances for Deployment Groups in AWS CodeDeploy in the AWS CodeDeploy User Guide.
OnPremisesTagSet
is a property of the AWS::CodeDeploy::DeploymentGroup resource.
Syntax
To declare this entity in your AWS CloudFormation template, use the following syntax:
JSON
{ "OnPremisesTagSetList" : [ OnPremisesTagSetListObject, ... ] }
Properties
OnPremisesTagSetList
-
A list containing other lists of on-premises instance tag groups. In order for an instance to be included in the deployment group, it must be identified by all the tag groups in the list.
Duplicates are not allowed.
Required: No
Type: List of OnPremisesTagSetListObject
Update requires: No interruption
See Also
-
OnPremisesTagSet in the AWS CodeDeploy API Reference


---
title: "Research Track PC"
updated: 2016-08-30 00:00:00
layout: default
group: organization
menu: sub
ordered: 1
status: published
---
| Maribel Acosta |
Karlsruhe Institute of Technology, Germany |
| Muhammad Intizar Ali |
National University of Ireland, Ireland |
| Faisal Alkhateeb |
Yarmouk University, Jordan |
| Pramod Anantharam |
Bosch Research and Technology Center, USA |
| Manuel Atencia |
Univ. Grenoble Alpes \& INRIA, France |
| Medha Atre |
Unaffiliated |
| Nathalie Aussenac-Gilles |
IRIT CNRS, France |
| Jie Bao |
Memect, China |
| Payam Barnaghi |
University of Surrey, UK |
| Christian Bizer |
University of Mannheim, Germany |
| Eva Blomqvist |
Linköping University, Sweden |
| Kalina Bontcheva |
University of Sheffield, UK |
| Paolo Bouquet |
University of Trento, OKKAM srl, Italy |
| Loris Bozzato |
Fondazione Bruno Kessler, Italy |
| Adrian M.P. Brasoveanu |
MODUL Technology GmbH, Germany |
| Carlos Buil Aranda |
Universidad Técnica Federico Santa María, Chile |
| Paul Buitelaar |
National University of Ireland, Ireland |
| Grégoire Burel |
The Open University, UK |
| Andrea Calí |
University of London, Birkbeck College, UK |
| Jean-Paul Calbimonte |
HES-SO Valais, EPFL, France |
| Diego Calvanese |
KRDB Research Centre, Free University of Bozen-Bolzano, Italy |
| Amparo E. Cano |
Aston University, UK |
| Iván Cantador |
Universidad Autónoma de Madrid, Spain |
| Irene Celino |
CEFRIEL, Italy |
| Davide Ceolin |
University Amsterdam, Netherlands |
| Pierre-Antoine Champin |
LIRIS, France |
| Gong Cheng |
Nanjing University, China |
| Michael Compton |
CSIRO, Austrialia |
| Sam Coppens |
Autodesk, Inc., Ireland |
| Isabel Cruz |
University of Illinois at Chicago, USA |
| Bernardo Cuenca Grau |
University of Oxford, UK |
| Edward Curry |
Digital Enterprise Research Institute, Ireland |
| Claudia d'Amato |
University of Bari, Italy |
| Mathieu D'Aquin |
Knowledge Media Institute, The Open University, UK |
| Danica Damljanovic |
Pure AI, UK |
| Brian Davis |
Insight Centre for Data Analytics, Galway, Ireland |
| Daniele Dell'Aglio |
DEIB, Politecnico di Milano, Italy |
| Emanuele Della Valle |
DEIB, Politecnico di Milano, Italy |
| Elena Demidova |
University of Southampton, UK |
| Stefan Dietze |
L3S Research Center, Germany |
| Ying Ding |
Indiana University, USA |
| John Domingue |
The Open University, UK |
| Jérôme Euzenat |
INRIA \& Univ. Grenoble Alpes, France |
| Nicola Fanizzi |
Università di Bari, Italy |
| Anna Fensel |
University of Innsbruck, Austria |
| Miriam Fernandez |
The Open University, UK |
| Lorenz Fischer |
Swisscom AG, Switzerland |
| Achille Fokoue |
IBM Research, USA |
| Adam Funk |
University of Sheffield, UK |
| Olaf Görlitz |
Cognizant Technology Solutions, Germany |
| Aldo Gangemi |
Université Paris 13 \& CNR-ISTC, France |
| José María García |
University of Seville, Spain |
| Raúl García-Castro |
Universidad Politécnica de Madrid, Spain |
| Anna Lisa Gentile |
University of Mannheim, Germany |
| Jose Manuel Gomez-Perez |
Expert System, Spain |
| Tudor Groza |
The Garvan Institute of Medical Research, Australia |
| Michael Gruninger |
University of Toronto, Canada |
| Christophe Guéret |
BBC, UK |
| Giancarlo Guizzardi |
Federal University of Espirito Santo, Brazil |
| Claudio Gutierrez |
Universidad de Chile, Chile |
| Peter Haase |
metaphacts, Germany |
| Harry Halpin |
World Wide Web Consortium, USA |
| Andreas Harth |
Karlsruhe Institute of Technology, Germany |
| Olaf Hartig |
Linköping University, Sweden |
| Tom Heath |
Open Data Institute, UK |
| Pascal Hitzler |
Wright State University, USA |
| Rinke Hoekstra |
VU Amsterdam/University of Amsterdam, Netherlands |
| Aidan Hogan |
DCC, Universidad de Chile, Chile |
| Andreas Hotho |
University of Wuerzburg, Germany |
| Geert-Jan Houben |
TU Delft, Netherlands |
| Wei Hu |
Nanjing University, China |
| Eero Hyvönen |
Aalto University, Finland |
| Luis-Daniel Ibáñez |
University of Southampton, UK |
| Krzysztof Janowicz |
University of California, Santa Barbara, USA |
| Ernesto Jimenez-Ruiz |
University of Oxford, UK |
| Hanmin Jung |
Korea Institute of Science and Technology Information, South Korea |
| Benedikt Kämpgen |
FZI Forschungszentrum Informatik, Germany |
| Mark Kaminski |
University of Oxford, UK |
| David Karger |
Massachusetts Institute of Technology, USA |
| Hong-Gee Kim |
Seoul National University, South Korea |
| Matthias Klusch |
DFKI, Germany |
| Jacek Kopecky |
University of Portsmouth, UK |
| Manolis Koubarakis |
National and Kapodistrian University of Athens, Greece |
| Tobias Kuhn |
Vrije Universiteit Amsterdam, Netherlands |
| Werner Kuhn |
University of California, Santa Barbara, USA |
| Steffen Lamparter |
Siemens AG, Corporate Technology, Germany |
| Agnieszka Lawrynowicz |
Poznań University of Technology, Poland |
| Chengkai Li |
University of Texas at Arlington, USA |
| Juanzi Li |
Department of Computer Science, Tsinghua University, China |
| Nuno Lopes |
TopQuadrant, Inc, Ireland |
| Chun Lu |
SEPAGE S.A.S, France |
| Markus Luczak-Roesch |
Victoria University of Wellington, New Zealand |
| Maria Maleshkova |
Karlsruhe Institute of Technology, Germany |
| Erik Mannens |
iMinds -- Ghent University, Belgium |
| Robert Meusel |
University of Mannheim, Germany |
| Peter Mika |
Yahoo! Research, UK |
| Riichiro Mizoguchi |
Japan Advanced Institute of Science and Technology, Japan |
| Dunja Mladenic |
Jozef Stefan Institute, Slovenia |
| Luc Moreau |
University of Southampton, UK |
| Boris Motik |
University of Oxford, UK |
| Enrico Motta |
Knowledge Media Institute, The Open University, UK |
| Nadeschda Nikitina |
Oxford University, UK |
| Andriy Nikolov |
fluid Operations AG, Germany |
| Lyndon Nixon |
MODUL University Vienna, Austria |
| Beng Chin Ooi |
National University of Singapore, Singapore |
| Massimo Paolucci |
DoCoMo Euro labs, Germany |
| Bijan Parsia |
University of Manchester, UK |
| Peter Patel-Schneider |
Nuance Communications, USA |
| Terry Payne |
University of Liverpool, UK |
| Carlos Pedrinaci |
The Open University, UK |
| Silvio Peroni |
DASPLab, DISI, University of Bologna, Italy |
| Dimitris Plexousakis |
Institute of Computer Science, FORTH, Greece |
| Guilin Qi |
Southeast University, China |
| Ganesh Ramakrishnan |
IIT Bombay, India |
| Maya Ramanath |
IIT Delhi, India |
| Achim Rettinger |
Karlsruhe Institute of Technology, Germany |
| Giuseppe Rizzo |
ISMB, Italy |
| Dumitru Roman |
SINTEF / University of Oslo, Norway |
| Riccardo Rosati |
Sapienza Universita' di Roma, Italy |
| Marco Rospocher |
Fondazione Bruno Kessler, Italy |
| Matthew Rowe |
Lancaster University, UK |
| Harald Sack |
Hasso-Plattner-Institute, University of Potsdam, Germany |
| Hassan Saif |
Knowledge Media Institute, The Open University, UK |
| Francois Scharffe |
3Top, USA |
| Ansgar Scherp |
Kiel University and ZBW -- Leibniz Information Center for Economics, Germany |
| Marco Schorlemmer |
Artificial Intelligence Research Institute, IIIA-CSIC, Spain |
| Daniel Schwabe |
Dept. of Informatics, PUC-Rio, Brazil |
| Juan Sequeda |
Capsenta, USA |
| Estefania Serral |
KU Leuven, Belgium |
| Michael Sintek |
DFKI GmbH, Germany |
| Monika Solanki |
University of Oxford, UK |
| Dezhao Song |
Thomson Reuters, USA |
| Steffen Staab |
University of Koblenz-Landau and University of Southampton, Germany, UK |
| Markus Strohmaier |
University of Koblenz-Landau, Germany |
| Gerd Stumme |
University of Kassel, Germany |
| Jing Sun |
The University of Auckland, New Zealand |
| Vojtěch Svátek |
University of Economics, Prague, Czech Republic |
| Pedro Szekely |
University of Southern California, USA |
| Annette Ten Teije |
Vrije Universiteit Amsterdam, Netherlands |
| Matthias Thimm |
University of Koblenz-Landau, Germany |
| Krishnaprasad Thirunarayan |
Wright State University, USA |
| Nicolas Torzec |
Yahoo, USA |
| Sebastian Tramp |
eccenca, Germany |
| Raphaël Troncy |
EURECOM, France |
| Anni-Yasmin Turhan |
Technische Universität Dresden, Germany |
| Jacopo Urbani |
Vrije Universiteit Amsterdam, Netherlands |
| Victoria Uren |
Aston University, UK |
| Marieke van Erp |
Vrije Universiteit Amsterdam, Netherlands |
| Frank van Harmelen |
Vrije Universiteit Amsterdam, Netherlands |
| Jacco van Ossenbruggen |
CWI \ Vrije Universiteit Amsterdam, Netherlands |
| Ruben Verborgh |
Ghent University – iMinds, Belgium |
| Natalia Villanueva-Rosales |
University of Texas at El Paso, USA |
| Haofen Wang |
East China University of Science and Technology, China |
| Kewen Wang |
Griffith University, Australia |
| Zhichun Wang |
Beijing Normal University, China |
| Yong Yu |
Shanghai Jiao Tong University, China |
| Fouad Zablith |
American University of Beirut, Lebanon |
| Sergej Zerr |
University of Southampton, UK |
| Qingpeng Zhang |
Rensselaer Polytechnic Institute, USA |
| |
| Nitish Aggarwal |
Insight Centre for Data Analytics, Ireland |
| Albin Ahmeti |
Vienna University of Economics and Business - WU Wien, Austria |
| Saud Aljaloud |
University of Southampton, UK |
| Martin Becker |
University of Würzburg, Germany |
| Aurélien Bénel |
Université de Technologie de Troyes, France |
| David Berry |
EUMETSAT, Germany |
| Georgeta Bordea |
Insight Centre for Data Analytics, Ireland |
| Stefano Bortoli |
OKKAM srl, Trento, Italy |
| Stefano Braghin |
IBM Research, Ireland |
| Janez Brank |
Jozef Stefan Institute, Slovenia |
| Michel Buffa |
University of Nice, France |
| Elena Cabrio |
INRIA, France |
| Xuezhi Cao |
Shanghai Jiao Tong University, China |
| Claudia Carapelle |
Technische Universität Dresden, Germany |
| David Carral |
Wright State University, USA |
| Roberto Confalonieri |
Artificial Intelligence Research Institute, IIIA-CSIC, Spain |
| Olivier Corby |
INRIA, France |
| Julien Corman |
University of Toulouse, France |
| Minh Dao-Tran |
Vienna University of Technology, Austria |
| Jérôme David |
University Grenoble Alpes & INRIA, France |
| Ronald Denaux |
Expert System, Spain |
| Djellel Eddine Difallah |
University of Fribourg, Switzerland |
| Anastasia Dimou |
Ghent University – iMinds, Belgium |
| Jiwei Ding |
Nanjing University, China |
| Fajar J. Ekaputra |
Vienna University of Technology, Austria |
| Basil Ell |
Karlsruhe Institute of Technology, Germany |
| Michael Färber |
Karlsruhe Institute of Technology, Germany |
| Daniel Faria |
University of Lisbon, Portugal |
| Yasmin Fathy |
University of Surrey, UK |
| Jean-Philippe Fauconnier |
Université Toulouse Jean Jaurès, France |
| Javier D. Fernández |
Vienna University of Economics and Business , Austria |
| Mariano Fernández-López |
CEU, Spain |
| Giorgos Flouris |
Institute of Computer Science, FORTH, Greece |
| Marvin Frommhold |
University of Leipzig, Germany |
| Irini Fundulaki |
Institute of Computer Science, FORTH, Greece |
| Andrés García-Silva |
Universidad Politécnica de Madrid, Spain |
| Camilo Garrido |
Universidad de Chile, Chile |
| Alain Giboin |
INRIA, France |
| Kalpa Gunaratna |
Wright State University , USA |
| Karl Hammar |
Jönköping University, Sweden |
| Tom Hanika |
Universität Kassel, Germany |
| Matthias Hartung |
Bielefeld University , Germany |
| Sona Hasani |
University of Texas at Arlington, USA |
| Naeemul Hassan |
University of Texas at Arlington, USA |
| Daniel Hernandez |
Universidad de Chile, Chile |
| Yingjie Hu |
University of California, Santa Barbara, USA |
| Robert Isele |
eccenca, Germany |
| Daniel Janke |
University of Koblenz-Landau, Germany |
| Stéphane Jean |
Université de Poitiers, France |
| Soufian Jebbara |
Bielefeld University, Germany |
| Nazifa Karima |
Wright State University, USA |
| Mario Karlovcec |
Jozef Stefan Institute, Slovenia |
| Yevgeny Kazakov |
University of Ulm, Germany |
| Felix Leif Keppmann |
Karlsruhe Institute of Technology, Germany |
| Robin Keskisärkkä |
Linköping University, Sweden |
| Christoph Kling |
GESIS Leibniz Institute for the Social Sciences, Germany |
| Magnus Knuth |
Hasso-Plattner-Institute for IT Systems Engineering, University of Potsdam, Germany |
| Haris Kondylakis |
Institute of Computer Science, FORTH, Greece |
| Patrick Koopmann |
University of Oxford, UK |
| Aljaz Kosmerlj |
University of Ljubljana, Slovenia |
| Nenad Krdzavac |
Michigan State University, USA |
| Adila A. Krisnadhi |
Wright State University, USA |
| Sumant Kulkarni |
Knoesis Center, Wright State University, USA |
| Sungin Lee |
Seoul National University, South Korea |
| Oliver Lehmberg |
University of Mannheim, Germany |
| Tatiana Lesnikova |
INRIA & Univ. Grenoble Alpes, France |
| Mohamed Nadjib Mami |
Fraunhofer - IAIS , Germany |
| Nandana Mihindukulasooriya |
Universidad Politécnica de Madrid, Spain |
| Maja Milicic Brandt |
University of Manchester, UK |
| Seyed Iman Mirrezaei |
University of Illinois at Chicago, USA |
| Aditya Mogadala |
Karlsruhe Institute of Technology, Germany |
| Alexandre Monnin |
INRIA, France |
| Jose Mora |
Fujitsu Laboratories of Europe, Spain |
| Raghava Mutharaju |
Wright State University, USA |
| Thomas Niebler |
Universität Würzburg , Germany |
| Charalampos Nikolaou |
National and Kapodistrian University of Athens, Greece |
| Nikolay Nikolov |
SINTEF, Norway |
| Chifumi Nishioka |
University of Kiel, Germany |
| Chifumi Nishioka |
University of Kiel, Germany |
| Francesco Osborne |
Knowledge Media Institute, The Open University, UK |
| Yaser Oulabi |
University of Mannheim, Germany |
| Guillermo Palma |
Universidad Simón Bolívar, Venezuela |
| Panayiotis Papadakos |
Institute of Computer Science, FORTH, Greece |
| Sujan Perera |
Knoesis Center, Wright State University, USA |
| Minh Pham |
University of Southern California, USA |
| Patrick Philipp |
Karlsruhe Institute of Technology, Germany |
| Julien Plu |
Eurecom, France |
| María Poveda-Villalón |
Universidad Politécnica de Madrid, Spain |
| Freddy Priyatna |
Universidad Politécnica de Madrid, Spain |
| Alessandro Provetti |
University of Messina, Italy |
| Lin Qiu |
Nanyang Technological University, Singapore |
| Kan Ren |
SINTEF, Norway |
| Martin Ringsquandl |
Siemens, Germany |
| Dominique Ritze |
University of Mannheim, Germany |
| Markus Rokicki |
L3S Research Center, Leibniz University, Hannover, Germany |
| Marvin Schiller |
University of Ulm, Germany |
| Lukas Schmelzeisen |
University of Koblenz-Landau, Germany |
| Andreas Schmidt |
Karlsruhe University of Applied Sciences, Germany |
| Xin Shuai |
Thomson Reuters, USA |
| Hala Skaf-Molli |
Nantes University, France |
| Cinzia Incoronata Spina |
University of Padua, Italy |
| Simon Steyskal |
Vienna University of Economics and Business, Austria |
| Dina Sukhobok |
SINTEF, Norway |
| Steffen Thoma |
Karlsruhe Institute of Technology, Germany |
| Veronika Thost |
Technische Universität Dresden, Germany |
| Pierpaolo Tommasi |
IBM Research, Ireland |
| Riccardo Tommasini |
DEIB, Politecnico di Milano, Italy |
| Serena Villata |
CNRS, France |
| Joerg Waitelonis |
Hasso-Plattner-Institute for IT Systems Engineering, University of Potsdam, Germany |
| Simon Walk |
Stanford University, USA |
| Sebastian Walter |
Bielefeld University, Germany |
| Wei Wang |
Liverpool University, UK |
| Zhe Wang |
Griffith University, Australia |
| Sanjaya Wijeratne |
Knoesis Center, Wright State University, USA |
| Ian Wood |
University of Queensland, Australia |
| Tianxing Wu |
Southeast University, China |
| Yuxin Ye |
Jilin University and Wright State University, China, USA |
| Ran Yu |
L3S Research Center, Germany |
| Veruska Zamborlini |
Vrije Universiteit Amsterdam, Netherlands |
| Gensheng Zhang |
University of Texas at Arlington, USA |
| Lei Zhang |
Karlsruhe Institute of Technology, Germany |
| Linhong Zhu |
University of Southern California, USA |
| |


@JvmStatic var appInfo: AppInfo?
Setter for identifying your plug-in or library.
See Building Stripe Plug-ins and Libraries - Setting the API version.


This is description for product
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Canon EOS 5D Mark II
50 1.4
50mm
1/60 s
f/2.2
200
Black and White
June 28, 2015
Canon EOS 5D Mark II
50 1.4
50mm
1/60 s
f/2.2
200
Darker Than Black
May 31, 2015
Canon EOS 5D Mark II
50 1.4
50mm
1/60 s
f/2.2
200
Madness
April 11, 2015
Canon EOS 5D Mark II
50 1.4
50mm
1/60 s
f/2.2
200
Sleeping Beauty
March 01, 2015
Canon EOS 5D Mark II
50 1.4
50mm
1/60 s
f/2.2
200
Shades
March 03, 2015
Canon EOS 5D Mark II
50 1.4
50mm
1/60 s
f/2.2
200
Black and White
June 27, 2015
Canon EOS 5D Mark II
50 1.4
50mm
1/60 s
f/2.2
200
Sleeping Beauty
March 01, 2015
Canon EOS 5D Mark II
50 1.4
50mm
1/60 s
f/2.2
200
Shades
March 03, 2015
Canon EOS 5D Mark II
50 1.4
50mm
1/60 s
f/2.2
200
Shades
March 03, 2015
Canon EOS 5D Mark II
50 1.4
50mm
1/60 s
f/2.2
200
Darker Than Black
May 31, 2015
Canon EOS 5D Mark II
50 1.4
50mm
1/60 s
f/2.2
200
Black and White
June 27, 2015
Canon EOS 5D Mark II
50 1.4
50mm
1/60 s
f/2.2
200
Shades
March 03, 2015
Canon EOS 5D Mark II
50 1.4
50mm
1/60 s
f/2.2
200
Shades
March 03, 2015
Canon EOS 5D Mark II
50 1.4
50mm
1/60 s
f/2.2
200
Madness
May 30, 2015
Canon EOS 5D Mark II
50 1.4
50mm
1/60 s
f/2.2
200
Sleeping Beauty
May 30, 2015
Canon EOS 5D Mark II
50 1.4
50mm
1/60 s
f/2.2
200
Sleeping Beauty
March 01, 2015
Canon EOS 5D Mark II
50 1.4
50mm
1/60 s
f/2.2
200
Shades
March 03, 2015
Canon EOS 5D Mark II
50 1.4
50mm
1/60 s
f/2.2
200
Darker Than Black
May 31, 2015
Canon EOS 5D Mark II
50 1.4
50mm
1/60 s
f/2.2
200
Darker Than Black
May 31, 2015
Canon EOS 5D Mark II
50 1.4
50mm
1/60 s
f/2.2
200
Shades
March 03, 2015
Canon EOS 5D Mark II
50 1.4
50mm
1/60 s
f/2.2
200
Darker Than Black
May 30, 2015
Canon EOS 5D Mark II
50 1.4
50mm
1/60 s
f/2.2
200
Sleeping Beauty
March 01, 2015
Canon EOS 5D Mark II
50 1.4
50mm
1/60 s
f/2.2
200
Black and White
June 27, 2015
Canon EOS 5D Mark II
50 1.4
50mm
1/60 s
f/2.2
200
Madness
April 11, 2015
Canon EOS 5D Mark II
50 1.4
50mm
1/60 s
f/2.2
200
Sleeping Beauty
March 01, 2015
Canon EOS 5D Mark II
50 1.4
50mm
1/60 s
f/2.2
200
Sleeping Beauty
March 01, 2015
Canon EOS 5D Mark II
50 1.4
50mm
1/60 s
f/2.2
200
Sleeping Beauty
March 01, 2015
Canon EOS 5D Mark II
50 1.4
50mm
1/60 s
f/2.2
200
Sleeping Beauty
March 01, 2015
Canon EOS 5D Mark II
50 1.4
50mm
1/60 s
f/2.2
200
Shades
May 30, 2015
Canon EOS 5D Mark II
50 1.4
50mm
1/60 s
f/2.2
300
Black and White
June 27, 2015
Canon EOS 5D Mark II
50 1.4
50mm
1/60 s
f/2.2
200
Madness
April 11, 2015
Canon EOS 5D Mark II
50 1.4
50mm
1/60 s
f/2.2
200
Black and White
June 27, 2015
Canon EOS 5D Mark II
50 1.4
50mm
1/60 s
f/2.2
200
Madness
April 11, 2015
Canon EOS 5D Mark II
50 1.4
50mm
1/60 s
f/2.2
200
Black and White
June 27, 2015
Canon EOS 5D Mark II
50 1.4
50mm
1/60 s
f/2.2
200
Darker Than Black
May 31, 2015
Canon EOS 5D Mark II
50 1.4
50mm
1/60 s
f/2.2
200
Darker Than Black
May 31, 2015
Canon EOS 5D Mark II
50 1.4
50mm
1/60 s
f/2.2
200
Shades
March 03, 2015
Canon EOS 5D Mark II
50 1.4
50mm
1/60 s
f/2.2
200
Sleeping Beauty
March 01, 2015
Canon EOS 5D Mark II
50 1.4
50mm
1/60 s
f/2.2
200
Darker Than Black
May 31, 2015
Canon EOS 5D Mark II
50 1.4
50mm
1/60 s
f/2.2
200
Madness
April 11, 2015
Canon EOS 5D Mark II
50 1.4
50mm
1/60 s
f/2.2
200
Black and White
June 27, 2015
Canon EOS 5D Mark II
50 1.4
50mm
1/60 s
f/2.2
200
Black and White
June 27, 2015


---
layout: example.html
title: Min/Max Zoom Level Example
shortdesc: Demonstrates how to set minimum and maximum zoom levels for a map and layer.
docs: >
Restricting the zoom levels of the map using metadata (min: 3, max: 20)
Changing Null Island's minimum zoom level uses the updateLayer() action to update Redux store
When you zoom out beyond level 5 (so 4 and lower) Null Island layer will disappearShows how to display the current zoom level of the map
---


CMPUT 333, Assignment 3, Fall 2016
(ARP poisoning, buffer overflows)
ARP Poisoning (60%)
The "backbone" network of the virtual hosts to which you have access, is the subnet <IP_ADDRESS>/24. Each group's virtual Linux host has one of its interfaces connected to this subnet. In addition, other hosts are also connected to this backbone subnet, e.g., hosts used by the TAs for testing purposes. Among those hosts there are "victim" hosts attached (you will have to find their IP addresses). Note that what characterizes these victim hosts as victim hosts is that they are engaged in periodic data transfers between them, with a period never exceeding the 5 minutes.
Your first set of tasks is to:
a) determine and report, by using tools such as nmap, etc., what are the IP addresses of the victim hosts connected to the backbone,
b) determine and report, using the same/similar tools, what are the services running on each of the victim hosts connected to the backbone, and,
c) determine and report the victims' OS and the OS version as accurately as you can (again using the same assortment of tools).
In your writeup explaining the above three items, you must also explain what features probed for by the tool were crucial to identifying it as the particular OS. This might involve reading a bit more about how the tools work and come up with their "guesses". Indicate also which of the victim host(s) is(are) more difficult to identify their OS and why. The above should be supported by a corresponding deliverable of the output of the tools that you used and your findings.
Subsequently, you will determine which ones are the victim hosts and mount a man-in-the-middle attack between them to the extent possible. The hint to follow to find the victim hosts is that they are characterized by a fairly regular communication pattern. As mentioned, they are establishing connections periodically between them, in the order of minutes. Additionally, the victims are not the hosts belonging to any of the students groups (i.e., they are not in the IP address range from <IP_ADDRESS> to <IP_ADDRESS>) or to the TAs (<IP_ADDRESS> and <IP_ADDRESS>). Using a man-in-the-middle attack by ARP poisoning using ettercap:
a) determine the victim hosts,
b) determine what connections are initiated (including which one plays the role of the client, and which one the role of the server for each connection),
c) determine what is the service(s) to which the connections are established, and,
d) identify the nature and extract the contents of the transfers between the hosts (not just a dump of bytes, but qualitatively "what are they about"?).
The above should be supported by a corresponding deliverable of tcpdump packet trace and any contents that you intercepted. Specifically, your deliverable should include at least (i) the ARP activity spanning the time period just before and just after you performed ARP poisoning, (ii) captured packets of the communication between the hosts (if many, then a compressed archive of the packet capture), (iii) any contents (packet payload, e.g., files) that you were able to reconstruct from the communication between the victims, and (iv) the output you got from ettercap.
Notice, you may see also non-ARP activity in your tcpdump output, including possibly of hosts not on the same <IP_ADDRESS>/24 network. That's fine, you should not remove this additional traffic from your tcpdump trace.
To complete this task you need to read and understand the ettercap manual page (man ettercap) on your virtual Linux host. Please compress your submission as the files involved can be quite large.
You are given an executable file (filename: weak) which performs a trivial transformation on input provided from stdin. The executable is runable on your Linux virtual host. The program requires one command line argument (it can be a name, like joe or bob) when you invoke it. The rest of the interaction with the program is through the stdin/stdout. You also know that the executable contains a function that prints the string Magic cookie found!. Your task is to write a buffer overflow exploit that, when used, forces the program to print "Magic cookie found!". To complete this part you must:
a) report what is it that program actually does (it is quite trivial -- don't go overboard here)
b) report what is the buffer size used by the program and how you found that out
c) report how you determined how to call the function that produced the desirable output
d) provide the source code for your exploit
e) report how your exploit works and why it is structured the way it is
In addition you have to pick one of the following two to do additionally:
f) either, explain how to write the exploit in a way that the program does not terminate abnormally (i.e., the program exits), or,
g) find another vulnerability in the program that involves printf formatting strings
Note that you should try to write the exploit in a way such that, after it prints "Magic cookie found!, the program terminates as normally as possible (i.e., preferably without aborting or crashing to receive full marks).
Deliverables
Only one of the group members need to submit on behalf of the entire group (in the event of more than one submission, the last one will be considered). Your report should include answers to the questions and should cite any resources that you used to answer the questions. By default it is assumed that all group members contribute equally to the assignment. If you need to deviate from this model of cooperation, explain why and indicate who was responsible for what.
[Optional: add a single paragraph at the end of the report indicating whether you found any difficulties with this assignment and if you think there are ways in which it could be improved. In particular, we are interested to know if the assignment forced you to learn something new that you did not know of before, and how much effort it took you. Was the workload reasonable?]
***************


While downloading files, aria2 prints a readout to the console to show the progress of the downloads. The console readout looks like this:
[#2089b0 400.0KiB/33.2MiB(1%) CN:1 DL:115.7KiB ETA:4m51s]
This section describes what these numbers and strings mean.
#NNNNNN
X/Y(Z%)
--select-file
is used, this is the sum of selected files.SEED
CN
SD
DL
UL
ETA
When more than one download is in progress, some of the information described above will be omitted in order to show information for several downloads. And the overall download and upload speeds are shown at the beginning of the line.
When aria2 is allocating file space or validating checksums, it additionally prints the progress of these operations:


Of Strife and Conflict
April 19th, 2015
I had pretty major conflict with my parents when I told them about my university plans and about what I wanted to study. There was a lot of arguing and friction between their ideals and desires about my education, and what I myself wanted to study and learn. At first, there were a lot of emotions from both sides. For me, it was anger and frustration as to why they didn't understand my own desires as to what I wanted to study, and where I wanted to go in life.
I realized many things when I started to step back and objectively analyze the situation. Because of my parents' relatively sheltered upbringing, they did not understand the lifestyles and work lives of those who studied the field I wanted to study in. I discovered that the reason they were so against my ideas is because of their fear of this unknown and how my life would turn out. The solution, then, was to teach them about all of these things.
In order to resolve this conflict, I helped my parents learn more about the university I wanted to attend. I showed them examples of what the kind of classes I wanted to take were like, the people that studied these subjects, and the types of jobs and fields of work that they eventually went on to do. This helped to assuage their fears and eventually they not only agreed to my decisions, but even supported me more than I ever thought they would!
I learned from this experience that transparency, honesty, and most of all good communication is an amazing tool to solve many conflicts and problems people will have. Turning to anger or arguments closes other parties off and makes them less willing to listen and reason with you. Communication is key!


{% extends "layout.html" %}
{% set active_page = "403" %}
{% block body %}
403: Permission Denied
You don't seem to be a member of the proper Github team or organization.
Please contact<EMAIL_ADDRESS>if you believe you are seeing this message in error.


{{_("Dear User,")}}
{{_("We have received a request for deletion of {0} data associated with: {1}").format(host_name, email)}}.
{{_("This will permanently remove your data.")}}
{{_("Click on the link below to verify your request")}}.
{% set verification_link = ' {0} '.format(_("Verification Link")) %} {{_("You can also copy-paste this {0} to your browser").format(verification_link) }}


Elsewhere in the world, kids as young as 12 years are amusing the techworld with their works while the citizens of the future in our country are yet to realize their full potential. We are a research group comprising few of the best brains in India from top tier National Institutes working on futuristic technology will be conducting hands-on workshops on cutting edge technologies Pushing the limits of the techno boundaries. Glozing the banal-ities. We teach the technology, Dipping the hands in the pool of experience. We let you talk to the machines, heart to heart. We Are Team Scicopath ! The followers of path of science and of course psychic after it.


When asked to design a database for my class, I chose to implement something that could potentially save the world.
My database, created in MySQL Workbench, is called "Help Wanted." It containts 11 relations pertaining to that relating to superheroes, villians, and crimes around an imagined city. In order to access values associated with the database, I created a script in Python to manipulate display of information, insertion, and deletion.
Below is a table that describes relationships more closely.


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524306866322721400000
Bonus Percentage
4.5%
XSS you receive after bonus
547900675307243900000
Previous
Finish
XEUAS Token Purchase
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1 XEUAS = 0.1 USD
Crypto to send
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Finnish
French
Frisian
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German
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Haitian Creole
Hausa
Hawaiian
Hebrew
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Hmong
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Tamil
Telugu
Thai
Turkish
Ukrainian
Urdu
Uzbek
Vietnamese
Welsh
Xhosa
Yiddish
Yoruba
Zulu
Afrikaans
Albanian
Amharic
Arabic
Armenian
Azerbaijani
Basque
Belarusian
Bengali
Bosnian
Bulgarian
Catalan
Cebuano
Chichewa
Chinese (Simplified)
Chinese (Traditional)
Corsican
Croatian
Czech
Danish
Dutch
English
Esperanto
Estonian
Filipino
Finnish
French
Frisian
Galician
Georgian
German
Greek
Gujarati
Haitian Creole
Hausa
Hawaiian
Hebrew
Hindi
Hmong
Hungarian
Icelandic
Igbo
Indonesian
Irish
Italian
Japanese
Javanese
Kannada
Kazakh
Khmer
Korean
Kurdish
Kyrgyz
Lao
Latin
Latvian
Lithuanian
Luxembourgish
Macedonian
Malagasy
Malay
Malayalam
Maltese
Maori
Marathi
Mongolian
Myanmar (Burmese)
Nepali
Norwegian
Pashto
Persian
Polish
Portuguese
Punjabi
Romanian
Russian
Samoan
Scots Gaelic
Serbian
Sesotho
Shona
Sindhi
Sinhala
Slovak
Slovenian
Somali
Spanish
Sundanese
Swahili
Swedish
Tajik
Tamil
Telugu
Thai
Turkish
Ukrainian
Urdu
Uzbek
Vietnamese
Welsh
Xhosa
Yiddish
Yoruba
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Our Branch
| Name | opening hours | Closing hours | contact information |
|---|---|---|---|
| Seattle | 6 am | 7 pm | 965852582 |
| Tokyo | 6 am | 7 pm | 955863287 |
| Dubai | 6 am | 7 pm |<PHONE_NUMBER> |
| Paris | 6 am | 7 pm | 018632492 |
| Lima | 6 am | 7 pm | 003975247 |
| Name | opening hours | Closing hours | contact information |
|---|---|---|---|
| Seattle | 6 am | 7 pm | 965852582 |
| Tokyo | 6 am | 7 pm | 955863287 |
| Dubai | 6 am | 7 pm |<PHONE_NUMBER> |
| Paris | 6 am | 7 pm | 018632492 |
| Lima | 6 am | 7 pm | 003975247 |


THE CURE A film review by Scott Renshaw Copyright 1995 Scott Renshaw
Starring: Joseph Mazzello, Brad Renfro, Annabella Sciorra, Diana Scarwid. Screenplay: Robert Kuhn. Director: Peter Horton.
There is a scene in THE CURE in which two boys face down a trio of taunting bullies. One of the boys has AIDS; the other boy, who earlier in the film had been afraid of catching the disease, is now his best friend. The newly-enlightened boy lectures the bullies about how the disease could have happened to anyone, and the chastened bullies walk away. You might not be surprised to find such a scene in a movie like THE CURE, but you probably would be surprised to find it only twenty minutes into the film. While it is exceptionally well-acted, THE CURE rambles on for far too long without a sense of purpose, like an attempt to stretch an "Afterschool Special" into a feature film.
Brad Renfro plays Erik, a young loner coping with the absence of his father and an alcoholic mother (Diana Scarwid). His new neighbor is Dexter (Joseph Mazzello), a boy who contracted the AIDS virus from a blood transfusion, and his mother (Annabella Sciorra). Although Erik is initially confrontational, the two boys without any other friends soon develop a close friendship. Among the activities they share is an attempt of their own to find a cure for the fatal disease, and when Erik sees an article in a tabloid newspaper about a "miracle cure" found in Louisiana, he becomes determined to get it for Dexter. Leaving their home in Minnesota, Erik and Dexter travel south in an attempt to find the key to saving Dexter's life.
To THE CURE's credit, the most important thing about it, the relationship between Erik and Dexter, is also the best thing about it. Brad Renfro, who made an impressive debut in THE CLIENT, has the more dynamic role of Erik, the cocky inveterate liar. There is an edge to his acting which is uncommon in younger actors who generally seem to eager to have the audience adore them, and he uses that to his advantage as the troubled young man in need of a friend. Mazzello is more than equal to him, granting Erik his tall tales and half-baked explanations like only young best friends do. Their rapport is genuine and very touching, and complemented by the fine supporting work of Diana Scarwid and Annabella Sciorra as their mothers. Sciorra in particular has some great moments as she becomes a kind of surrogate mother to Erik.
What sabotages the emotional impact of their friendship is THE CURE's clumsy and episodic story arc. By the time the aforementioned scene between Erik, Dexter and the three bullies occurs, everyone in the story who is really going to do any changing has already changed. There is nothing to do with them but send them off on a series of adventures, some of which are mildly interesting but don't really have a dramatic purpose. While Erik and Dexter are well-acted and sympathetic characters, at a certain point it becomes clear that all we are really going to be doing for the rest of THE CURE's running time is waiting for Dexter to die.
And what a wait it is. There is manipulation, and then there is what THE CURE traffics in, a lingering conclusion in the hospital which attempts to pull the tears out of you with an industrial strength vacuum cleaner. It seems as though screenwriter Robert Kuhn had an idea for a drama about AIDS and a drama about two friends on a journey, but neither one was long enough independently to turn into a feature. The problem is that THE CURE says nothing new about AIDS, and bails out on the potentially intriguing connection of absent fathers between the two boys. We never learn anything about where Dexter's father is, and the anticipated meeting between Erik and his father in New Orleans never materializes. It's a shame, because director Peter Horton (TV's "thirtysomething") has a deft touch with much of the film's potentially pathos-inducing material. But when you're playing the AIDS card, you had better have a really strong hand. THE CURE has one solid pair of aces, and a lot of spaces.
On the Renshaw scale of 0 to 10 miracle cures: 5.
-- Scott Renshaw Stanford University Office of the General Counsel
The review above was posted to the
rec.arts.movies.reviews newsgroup (de.rec.film.kritiken for German reviews).
The Internet Movie Database accepts no responsibility for the contents of the
review and has no editorial control. Unless stated otherwise, the copyright
belongs to the author.
Please direct comments/criticisms of the review to relevant newsgroups.
Broken URLs inthe reviews are the responsibility of the author.
The formatting of the review is likely to differ from the original due
to ASCII to HTML conversion.
Related links: index of all rec.arts.movies.reviews reviews


| 005:104 Khan | : |
And when it is said to them: "Come to what Allah has revealed and unto the Messenger (Muhammad SAW for the verdict of that which you have made unlawful)." They say: "Enough for us is that which we found our fathers following," even though their fathers had no knowledge whatsoever and no guidance. |
| 005:104 Maulana | : |
And when it is said to them, Come to that which Allah has revealed and to the Messenger, they say: Sufficient for us is that wherein We found our fathers. What! even though their fathers knew nothing and had no guidance! |
| 005:104 Pickthal | : |
And when it is said unto them: Come unto that which Allah hath revealed and unto the messenger, they say: Enough for us is that wherein we found our fathers. What! Even though their fathers had no knowledge whatsoever, and no guidance? |
| 005:104 Rashad | : |
When they are told, "Come to what GOD has revealed, and to the messenger," they say, "What we found our parents doing is sufficient for us." What if their parents knew nothing, and were not guided? |
| 005:104 Sarwar | : |
When they are told to refer to the guidance of God and to the Messenger, they say, "The tradition of our fathers is sufficient for our guidance," even though, in fact, their fathers had neither knowledge nor proper guidance. |
| 005:104 Shakir | : |
And when it is said to them, Come to what Allah has revealed and to the Messenger, they say: That on which we found our fathers is sufficient for us. What! even though their fathers knew nothing and did not follow the right way. |
| 005:104 Sherali | : |
And when it is said to them, 'Come to what ALLAH has revealed, and to the Messenger,' they say, 'Sufficient for us is that wherein we found our fathers.' What ! even though their fathers had no knowledge and had no guidance. |
| 005:104 Yusufali | : |
When it is said to them: "Come to what Allah hath revealed; come to the Messenger": They say: "Enough for us are the ways we found our fathers following." what! even though their fathers were void of knowledge and guidance? |
Concepts/Themes Covered: أركان الإسلام > التوحيد > توحيد الله تعالي > علمه جلّ شأنه Pillars of Islam> Islamic> Oneness of Allah> His Glory's Knowledge أركان الإسلام > التوحيد > الكافرون > افتراؤهم على الله وتكذيبهم ومجادلتهم بآيات الله Pillars of Islam> Islamic> The Disbelievers> Their Fabrication Against Allah, their Denial and Argumentation Against Allah's Signs أركان الإسلام > التوحيد > الكافرون > صفات الكفار Pillars of Islam> Islamic> The Disbelievers> The Characteristics of the Disbelievers العمل > العمل الطالح > التقليد في العمل Action(Work)> Bad Deeds>Immitation الإنسان والعلاقات الاجتماعية > المجتمع > التقليد الأعمى Man and The Social Relations>The Society>Following the Predecessors Unconsciously
This tool uses eight English parallel translations for the Holy Quran imported from Mr. Clay Smith. You can also visit Qurany Concepts for browsing the Quran themes or topics. If you want to search the Holy Quran for keywords, please visit Qurany Keywords.


Before Change
def write_log(self,log_name,log_dict):
"""Write log to TensorBoard"""
for k,v in log_dict.items():
if math.isnan(v) or v is None:
del log_dict[k]
if len(log_dict)>0:
if "align" in log_name or "spec" in log_name:
self.log.add_image(log_name,log_dict,self.step)
elif "txt" in log_name or "hyp" in log_name:
After Change
def write_log(self,log_name,log_dict):
"""Write log to TensorBoard"""
if type(log_dict) is dict:
log_dict = {key:val for key, val in log_dict.items() if (val is not None and not math.isnan(val))}
if log_dict is None:


|
s2n-doxygen-full
|
#include <openssl/e_os2.h>
Go to the source code of this file.
Macros | |
| #define | DECLARE_PKCS12_STACK_OF(type) /* Nothing */ |
| #define | IMPLEMENT_PKCS12_STACK_OF(type) /* Nothing */ |
| #define DECLARE_PKCS12_STACK_OF | ( | type | ) | /* Nothing */ |
Definition at line 194 of file ossl_typ.h.
| #define IMPLEMENT_PKCS12_STACK_OF | ( | type | ) | /* Nothing */ |
Definition at line 195 of file ossl_typ.h.
| typedef struct asn1_string_st ASN1_INTEGER |
Definition at line 83 of file ossl_typ.h.
| typedef struct asn1_string_st ASN1_ENUMERATED |
Definition at line 84 of file ossl_typ.h.
| typedef struct asn1_string_st ASN1_BIT_STRING |
Definition at line 85 of file ossl_typ.h.
| typedef struct asn1_string_st ASN1_OCTET_STRING |
Definition at line 86 of file ossl_typ.h.
| typedef struct asn1_string_st ASN1_PRINTABLESTRING |
Definition at line 87 of file ossl_typ.h.
| typedef struct asn1_string_st ASN1_T61STRING |
Definition at line 88 of file ossl_typ.h.
| typedef struct asn1_string_st ASN1_IA5STRING |
Definition at line 89 of file ossl_typ.h.
| typedef struct asn1_string_st ASN1_GENERALSTRING |
Definition at line 90 of file ossl_typ.h.
| typedef struct asn1_string_st ASN1_UNIVERSALSTRING |
Definition at line 91 of file ossl_typ.h.
| typedef struct asn1_string_st ASN1_BMPSTRING |
Definition at line 92 of file ossl_typ.h.
| typedef struct asn1_string_st ASN1_UTCTIME |
Definition at line 93 of file ossl_typ.h.
| typedef struct asn1_string_st ASN1_TIME |
Definition at line 94 of file ossl_typ.h.
| typedef struct asn1_string_st ASN1_GENERALIZEDTIME |
Definition at line 95 of file ossl_typ.h.
| typedef struct asn1_string_st ASN1_VISIBLESTRING |
Definition at line 96 of file ossl_typ.h.
| typedef struct asn1_string_st ASN1_UTF8STRING |
Definition at line 97 of file ossl_typ.h.
| typedef struct asn1_string_st ASN1_STRING |
Definition at line 98 of file ossl_typ.h.
| typedef int ASN1_BOOLEAN |
Definition at line 99 of file ossl_typ.h.
| typedef int ASN1_NULL |
Definition at line 100 of file ossl_typ.h.
| typedef struct asn1_object_st ASN1_OBJECT |
Definition at line 103 of file ossl_typ.h.
| typedef struct ASN1_ITEM_st ASN1_ITEM |
Definition at line 105 of file ossl_typ.h.
| typedef struct asn1_pctx_st ASN1_PCTX |
Definition at line 106 of file ossl_typ.h.
Definition at line 120 of file ossl_typ.h.
| typedef struct bignum_ctx BN_CTX |
Definition at line 121 of file ossl_typ.h.
| typedef struct bn_blinding_st BN_BLINDING |
Definition at line 122 of file ossl_typ.h.
| typedef struct bn_mont_ctx_st BN_MONT_CTX |
Definition at line 123 of file ossl_typ.h.
| typedef struct bn_recp_ctx_st BN_RECP_CTX |
Definition at line 124 of file ossl_typ.h.
| typedef struct bn_gencb_st BN_GENCB |
Definition at line 125 of file ossl_typ.h.
| typedef struct buf_mem_st BUF_MEM |
Definition at line 127 of file ossl_typ.h.
| typedef struct evp_cipher_st EVP_CIPHER |
Definition at line 129 of file ossl_typ.h.
| typedef struct evp_cipher_ctx_st EVP_CIPHER_CTX |
Definition at line 130 of file ossl_typ.h.
Definition at line 131 of file ossl_typ.h.
| typedef struct env_md_ctx_st EVP_MD_CTX |
Definition at line 132 of file ossl_typ.h.
| typedef struct evp_pkey_st EVP_PKEY |
Definition at line 133 of file ossl_typ.h.
| typedef struct evp_pkey_asn1_method_st EVP_PKEY_ASN1_METHOD |
Definition at line 135 of file ossl_typ.h.
| typedef struct evp_pkey_method_st EVP_PKEY_METHOD |
Definition at line 137 of file ossl_typ.h.
| typedef struct evp_pkey_ctx_st EVP_PKEY_CTX |
Definition at line 138 of file ossl_typ.h.
Definition at line 140 of file ossl_typ.h.
Definition at line 141 of file ossl_typ.h.
Definition at line 143 of file ossl_typ.h.
| typedef struct dsa_method DSA_METHOD |
Definition at line 144 of file ossl_typ.h.
Definition at line 146 of file ossl_typ.h.
| typedef struct rsa_meth_st RSA_METHOD |
Definition at line 147 of file ossl_typ.h.
| typedef struct rand_meth_st RAND_METHOD |
Definition at line 149 of file ossl_typ.h.
| typedef struct ecdh_method ECDH_METHOD |
Definition at line 151 of file ossl_typ.h.
| typedef struct ecdsa_method ECDSA_METHOD |
Definition at line 152 of file ossl_typ.h.
Definition at line 154 of file ossl_typ.h.
| typedef struct X509_algor_st X509_ALGOR |
Definition at line 155 of file ossl_typ.h.
| typedef struct X509_crl_st X509_CRL |
Definition at line 156 of file ossl_typ.h.
| typedef struct x509_crl_method_st X509_CRL_METHOD |
Definition at line 157 of file ossl_typ.h.
| typedef struct x509_revoked_st X509_REVOKED |
Definition at line 158 of file ossl_typ.h.
| typedef struct X509_name_st X509_NAME |
Definition at line 159 of file ossl_typ.h.
| typedef struct X509_pubkey_st X509_PUBKEY |
Definition at line 160 of file ossl_typ.h.
| typedef struct x509_store_st X509_STORE |
Definition at line 161 of file ossl_typ.h.
| typedef struct x509_store_ctx_st X509_STORE_CTX |
Definition at line 162 of file ossl_typ.h.
| typedef struct pkcs8_priv_key_info_st PKCS8_PRIV_KEY_INFO |
Definition at line 164 of file ossl_typ.h.
| typedef struct v3_ext_ctx X509V3_CTX |
Definition at line 166 of file ossl_typ.h.
Definition at line 167 of file ossl_typ.h.
Definition at line 169 of file ossl_typ.h.
| typedef struct store_method_st STORE_METHOD |
Definition at line 170 of file ossl_typ.h.
Definition at line 172 of file ossl_typ.h.
| typedef struct ui_method_st UI_METHOD |
Definition at line 173 of file ossl_typ.h.
| typedef struct st_ERR_FNS ERR_FNS |
Definition at line 175 of file ossl_typ.h.
Definition at line 177 of file ossl_typ.h.
Definition at line 178 of file ossl_typ.h.
| typedef struct ssl_ctx_st SSL_CTX |
Definition at line 179 of file ossl_typ.h.
| typedef struct comp_method_st COMP_METHOD |
Definition at line 181 of file ossl_typ.h.
| typedef struct X509_POLICY_NODE_st X509_POLICY_NODE |
Definition at line 183 of file ossl_typ.h.
| typedef struct X509_POLICY_LEVEL_st X509_POLICY_LEVEL |
Definition at line 184 of file ossl_typ.h.
| typedef struct X509_POLICY_TREE_st X509_POLICY_TREE |
Definition at line 185 of file ossl_typ.h.
| typedef struct X509_POLICY_CACHE_st X509_POLICY_CACHE |
Definition at line 186 of file ossl_typ.h.
| typedef struct AUTHORITY_KEYID_st AUTHORITY_KEYID |
Definition at line 188 of file ossl_typ.h.
| typedef struct DIST_POINT_st DIST_POINT |
Definition at line 189 of file ossl_typ.h.
| typedef struct ISSUING_DIST_POINT_st ISSUING_DIST_POINT |
Definition at line 190 of file ossl_typ.h.
| typedef struct NAME_CONSTRAINTS_st NAME_CONSTRAINTS |
Definition at line 191 of file ossl_typ.h.
| typedef struct crypto_ex_data_st CRYPTO_EX_DATA |
Definition at line 197 of file ossl_typ.h.
| typedef int CRYPTO_EX_new(void *parent, void *ptr, CRYPTO_EX_DATA *ad, int idx, long argl, void *argp) |
Definition at line 199 of file ossl_typ.h.
| typedef void CRYPTO_EX_free(void *parent, void *ptr, CRYPTO_EX_DATA *ad, int idx, long argl, void *argp) |
Definition at line 201 of file ossl_typ.h.
| typedef int CRYPTO_EX_dup(CRYPTO_EX_DATA *to, CRYPTO_EX_DATA *from, void *from_d, int idx, long argl, void *argp) |
Definition at line 203 of file ossl_typ.h.
| typedef struct ocsp_req_ctx_st OCSP_REQ_CTX |
Definition at line 206 of file ossl_typ.h.
| typedef struct ocsp_response_st OCSP_RESPONSE |
Definition at line 207 of file ossl_typ.h.
| typedef struct ocsp_responder_id_st OCSP_RESPID |
Definition at line 208 of file ossl_typ.h.


Do you want to purge {{PurgeCdnDialogModel.NodeName}} from the CDN?
{{PurgeCdnDialogModel.NodeName}} was purged.
{{PurgeCdnDialogModel.ErrorMessage}}


Select
Single Value Select
Gender
Female
Male
Gaming
NES
Nintendo64
PlayStation
Sega Genesis
Sega Saturn
SNES
Operating System
DOS
Linux
Mac OS 7
Mac OS 8
Windows 3.1
Windows 95
Windows 98
Music
Alice in Chains
Green Day
Nirvana
Pearl Jam
Smashing Pumpkins
Soundgarden
Stone Temple Pilots
Date
January
February
March
April
May
June
July
August
September
October
November
December
1989
1990
1991
1992
1993
1994
1995
1996
1997
1998
1999
Multiple Value Select
Toppings
Bacon
Black Olives
Extra Cheese
Green Peppers
Mushrooms
Onions
Pepperoni
Pineapple
Sausage
Spinach
Car Features
Backup Camera
Headted Seats
Keyless Entry
Navigation
Parking Assist
Sun Roof
Pets
{{o.text}}
Disabled
Selected Text


User Administration - User Details can be accessed as follows:
- Click the Add button on User Administration - Choose User.
- or -
- Click the Add New User button on User Administration - Confirmation.
- or -
- Click the Copy User button on User Administration - Choose User.
- or -
- Click the Back button on User Administration - Logos.
- or -
- Click Details on the User Record tab within User Administration - Navigation.
User Administration - User Details allows you to fill in basic information related to the user.
User Administration - User Details contains the following information:
Key Information (contains view-only fields)
- First Name – First name of the user whose record is being accessed or created.
- Last Name – Last name of the user whose record is being accessed or created.
- Logo – Four-character alphanumeric client identifier.
- User ID – Client-Central user ID of the user.
Note: This section displays only when an existing user record is being accessed.
User Information (contains view-only and modify fields)
Enter user information in the following fields:
- First Name – First name of the user whose record is being accessed or created.
- Last Name – Last name of the user whose record is being accessed or created.
- Logo – Four-character alphanumeric client identifier.
User Address (contains modify fields)
- Set Same as Yourself – Selecting this option prefills User Address fields with the address as defined on the security record of the administrator creating this record.
Note: This field displays only when you access this page from the Add User button on User Administration - Choose User.
- Institution – Name of the institution where the user is located.
- Address – Address of the institution.
- Country – Country where the institution is located.
- City – City where the institution is located.
- State – State where the institution is located.
- ZIP – ZIP code where the institution is located.
- Phone – Phone number of the user.
- Ext – Extension of the user.
- Fax – Fax number of the user.
- Email – E-mail address of the user.
Buttons, links, and icons contained in User Administration - User Details:
Buttons
Continue – Allows you to continue to add the user record.
Cancel – Returns you to User Administration - Choose User or User Administration - User Record without saving changes.
OK – Allows you to temporarily save the modifications made to the page. Click the Save or Update button on User Administration - Navigation to permanently save your changes.
Note: The Continue button displays when pages are accessed from the Add button on User Administration - Choose User. Otherwise, the OK button displays.
Links
None
Icons
None


This section explains how to compile WinPcap, both the kernel level and
the user-level portion, on the various Win32 platforms. The source code can be
found on the WinPcap website.
Compiling the driver
Two main NPF source trees are available for compilation: Windows NTx and Windows 9x. Note that, since the NPF Driver is platform-dependent, it is
STRONGLY suggested to compile it on the OS where it will be used, in order to
link the correct DDK libraries. For example, if you compile the
driver with the Windows NT 4 DDK, it will not work properly on Windows 2000 and
vice versa.
Compiling the driver on Windows NT4
Software requirements:
- Microsoft Driver Developer Kit (DDK) for Windows NT4
- A recent version of the Microsoft Platform Software Development Kit
(SDK) that is compatible with Visual Studio 6 (the latest compatible one is
Platform SDK February 2003). This version of the PSDK is available on the
Microsoft web site at
http://www.microsoft.com/msdownload/platformsdk/sdkupdate/psdk-full.htm.
It can be ordered online at
http://www.qmedia.ca/launch/psdk.htm, and it's also available to
Microsoft MSDN subscribers on the Subscribers Downloads web site.
- Microsoft Visual C++ 6.0
with Service Pack 5 or 6 (both the service packs are available online on the
Microsoft web site).
If your system satisfies these requirements, follow these steps:
- From the Windows NT Start menu, select the folder Programs and
then Development Kits, then Windows NT4 DDK. From here select the voice
Checked Build
Environment if you want to build a debug version, or Free Build
Environment if you want to build a release version.
- A command prompt will be opened. Move to the directory PacketNTx inside the
WinPcap source folder and type the command
CompileDriver
This script will generate the driver (npf.sys). The binary will be put in
one of these folders
- Free Build Environment: winpcap\PacketNTx\driver\bin\NT4\i386\free
- Checked Build Environment: winpcap\PacketNTx\driver\bin\NT4\i386\checked
Warning: sometimes, during the compilation of the driver, a lot of
'last line incomplete' errors are generated. Ignore these errors and let the
compilation process continue, they are due to bugs in some DDK versions.
Compiling the driver on Windows 2000/XP/2003/Vista (32bit and
64bit AMD64)
Software requirements:
- Microsoft Driver Developer Kit (DDK) for Windows Windows
XP or Windows Server 2003. As of WinPcap 4.0, the preferred DDK
environment is "DDK for Windows Server 2003SP1", also known as DDK
3790.1830.
NOTE: it is possible to use older DDKs for Windows 2000, but you will need to
manually modify the compilation scripts in order to disable PREfast (PREfast is
a static code analysis tool shipped with recent versions of the DDK).
If your system satisfies these requirements, follow these steps:
- From the Windows Start menu, select the folder Programs and
then Development Kits, then Windows XXX DDK, where XXX is
the target system, then Build Environments.
- 32bit driver: Choose Windows 2000 and then Windows 2000 Free Build
Environmentif you want to build a release version or Windows 2000
Checked Build Environment if you want to build a debug version .
- 64bit AMD64 driver: Choose Windows Server 2003 and then Windows
Server 2003 Free x64 Build Environment if you want to build a release version or
Windows Server 2003
Checked x64 Build Environment if you want to build a debug version .
- A command prompt will be opened. Move to the directory PacketNTx inside the
WinPcap source folder and type the command
CompileDriver
This script will generate the driver (npf.sys). The binary will be put in
one of these folders
- 32bit driver (both Free and Checked Build): winpcap\PacketNTx\driver\bin\2k\i386
- 64bit AMD64 driver (both Free and Checked Build): winpcap\PacketNTx\driver\bin\xp\amd64
Compiling the driver on Windows 9x
NOTE: this Windows platform is no longer supported by
WinPcap. However, the sources for these operating systems are still available in
the sources package.
To compile the driver for Windows 9x you will need:
- Driver Developer Kit (DDK) for Windows 95/98/ME
- A recent version of the Microsoft Platform Software Development Kit (SDK)
that is compatible with Visual Studio 6 (the latest compatible one is
Platform SDK February 2003). This version of the PSDK is available on the
Microsoft web site at
http://www.microsoft.com/msdownload/platformsdk/sdkupdate/psdk-full.htm.
It can be ordered online at
http://www.qmedia.ca/launch/psdk.htm, and it's also available to
Microsoft MSDN subscribers on the Subscribers Downloads web site.
- Microsoft Visual C++ 6.0
with Service Pack 5 or 6 (both the service packs are available online on the
Microsoft web site).
The steps to follow are:
- Open a DOS shell
- Go to the VisualC++ BIN directory (for example C:\DEVSTUDIO\VC\BIN) and
execute the command
Vcvars32
- Go to the SDK directory (for example C:\MSSDK) and execute the command
Setenv sdk_path
where sdk_path is the directory of SDK (for example Setenv C:\MSSDK)
- Go to the DDK directory (for example C:\DDK) and execute the command
Ddkenv 32 net
- Move to the directory whit the driver's source code and type the command
nmake rtl
to obtain a release version, or
nmake
to obtain a debug version.
The release version of packet.vxd will be placed in the
retail
directory, the debug version in the debug directory.
Warning: On some systems the NMAKE utility is not able to
launch ADRC2VXD, this means that the driver binary is generated correctly, but
without the copyright information. We don't know the cause of this problem.
Compiling packet.dll
The source tree for this DLL is located in PacketNTx\dll\.
NOTE: the 9x family of Windows operating systems is no longer supported
by WinPcap. However, the sources for these operating systems are still available
in the sources package.
Software requirements:
- A recent version of the Microsoft Platform Software Development Kit
(SDK) that is compatible with Visual Studio 6 (the latest compatible one is
Platform SDK February 2003). This version of the PSDK is available on the
Microsoft web site at
http://www.microsoft.com/msdownload/platformsdk/sdkupdate/psdk-full.htm.
It can be ordered online at
http://www.qmedia.ca/launch/psdk.htm, and it's also available to
Microsoft MSDN subscribers on the Subscribers Downloads web site.
Note: if you use Microsoft Visual Studio .NET the platform SDK is
not
needed to compile packet.dll. - Microsoft Visual C++ 6.0 with Service Pack
5 or 6 (both the service packs are available online on the Microsoft web
site).
- If you want to build WinPcap with the support for the CACE
Technologies AirPcap wireless capture library, you will need to download the
AirPcap developer's pack from
http://www.cacetech.com/products/airpcap.htm. The AirPcap developer's
pack needs to be unzipped in a folder in the same folder where the WinPcap
sources have been unzipped.
To compile the PACKET.DLL, load the project contained in the directory PacketNTx\dll\project
in the Visual C++ IDE. There are several project
configurations:
- PacketNT - Win32 Release: standard release configuration
- PacketNT - Win32 Debug: standard debug configuration
- PacketNT - Win32 Release No AirPcap: standard release configuration,
without AirPcap support
- PacketNT - Win32 Debug No AirPcap: standard debug configuration,
without AirPcap support
- PacketNT - Win32 NT4 Release: release configuration able to run on
NT4 does not include Wan and IP helper API support.
- PacketNT - Win32 NT4 Debug: debug configuration able to run on NT4
does not include Wan and IP helper API support.
- PacketNT - Win32 Release Vista: release configuration able to run on
Vista. It
does not include Wan support (with the NetMon API).
- PacketNT - Win32 Debug Vista: debug configuration able to run on
Vista. It
does not include Wan support (with the NetMon API).
- WanPacket - Win32 Release: release version of the WanPacket
library, used to interface with NetMon API for Wan capture
- WanPacket - Win32 Debug: debug version of the WanPacket library,
used to interface with NetMon API for Wan capture
Choose the desired configuration and build the project to obtain the binary
files.
Compiling wpcap.dll
wpcap.dll can be compiled on any Win32 platform and the generated dll is system independent.
System Requirements:
Note: wpcap.dll contains the source code of libpcap from
www.tcpdump.org, with some modifications
for remote capture. You will be able to include and build a different libpcap
version simply copying it in the directory winpcap\wpcap\prj of the
WinPcap source code distribution, but you must use the "Debug" or "Release"
build configurations.


--- layout: component-layout title: How to use E-mail commands ? link-title: Email Settings category: Settings url: /uvdemo/settings/email-settings.html tags: [E-mail, Email, Command, Commands, Use Email Commands] ---
UVdesk - How to use E-mail commands ?
E-mail commands ease the way you handle tickets and perform actions on them. With this, you don't need to open your UVdesk dashboard every time to manage tickets instead, you can harness the power of your email service provider by using email commands.
Steps to use email commands :


| 程序包 | 说明 |
|---|---|
| org.apache.giraph.aggregators |
Package of Giraph aggregators.
|
| org.apache.giraph.comm |
Package of communication related objects, IPC service.
|
| org.apache.giraph.comm.aggregators |
Package for classes which are used to handle aggregators.
|
| org.apache.giraph.comm.netty |
Package for netty implementations.
|
| org.apache.giraph.master |
Package of all the master related things.
|
| 限定符和类型 | 类和说明 |
|---|---|
class |
BasicAggregator<A extends org.apache.hadoop.io.Writable>
Abstract class for
Aggregator . |
class |
BooleanAndAggregator
Aggregator for calculating the AND function over boolean values.
|
class |
BooleanOrAggregator
Aggregator for calculating the OR function over boolean values.
|
class |
BooleanOverwriteAggregator
Aggregator that stores a value that is overwritten once another value is
aggregated.
|
class |
DoubleMaxAggregator
Aggregator for getting max double value.
|
class |
DoubleMinAggregator
Aggregator for getting min double value.
|
class |
DoubleOverwriteAggregator
Aggregator that stores a value that is overwritten once another value is
aggregated.
|
class |
DoubleProductAggregator
Aggregator for calculating products of double values.
|
class |
DoubleSumAggregator
Aggregator for summing up double values.
|
class |
FloatMaxAggregator
Aggregator for getting max float value.
|
class |
FloatMinAggregator
Aggregator for getting min float value.
|
class |
FloatOverwriteAggregator
Aggregator that stores a value that is overwritten once another value is
aggregated.
|
class |
FloatProductAggregator
Aggregator for calculating products of float values.
|
class |
FloatSumAggregator
Aggregator for summing up float values.
|
class |
IntMaxAggregator
Aggregator for getting max integer value.
|
class |
IntMinAggregator
Aggregator for getting min integer value.
|
class |
IntOverwriteAggregator
Aggregator that stores a value that is overwritten once another value is
aggregated.
|
class |
IntProductAggregator
Aggregator for calculating products of long and integer values.
|
class |
IntSumAggregator
Aggregator for summing up integer values.
|
class |
LongMaxAggregator
Aggregator for getting max long value.
|
class |
LongMinAggregator
Aggregator for getting min long value.
|
class |
LongOverwriteAggregator
Aggregator that stores a value that is overwritten once another value is
aggregated.
|
class |
LongProductAggregator
Aggregator for calculating products of long values.
|
class |
LongSumAggregator
Aggregator for summing up long values.
|
class |
TextAppendAggregator
Aggregator with
Text as its value which keeps appending text to it |
| 限定符和类型 | 方法和说明 |
|---|---|
Class<? extends Aggregator> |
AggregatorWrapper.getAggregatorClass()
Get class of wrapped aggregator
|
| 构造器和说明 |
|---|
AggregatorWrapper(Class<? extends Aggregator<A>> aggregatorClass,
boolean persistent) |
| 限定符和类型 | 方法和说明 |
|---|---|
void |
MasterClient.sendAggregator(String aggregatorName,
Class<? extends Aggregator> aggregatorClass,
org.apache.hadoop.io.Writable aggregatedValue)
Sends aggregator to its owner
|
| 限定符和类型 | 方法和说明 |
|---|---|
static Aggregator<org.apache.hadoop.io.Writable> |
AggregatorUtils.newAggregatorInstance(Class<Aggregator<org.apache.hadoop.io.Writable>> aggregatorClass,
ImmutableClassesGiraphConfiguration conf)
Create new aggregator instance from aggregator class,
catch all exceptions.
|
| 限定符和类型 | 方法和说明 |
|---|---|
static Class<Aggregator<org.apache.hadoop.io.Writable>> |
AggregatorUtils.getAggregatorClass(String aggregatorClassName)
Get aggregator class from class name, catch all exceptions.
|
| 限定符和类型 | 方法和说明 |
|---|---|
int |
SendAggregatorCache.addAggregator(Integer taskId,
String aggregatorName,
Class<? extends Aggregator> aggregatorClass,
org.apache.hadoop.io.Writable aggregatedValue)
Add aggregator to the cache
|
int |
AggregatorOutputStream.addAggregator(String aggregatorName,
Class<? extends Aggregator> aggregatorClass,
org.apache.hadoop.io.Writable aggregatedValue)
Write aggregator to the stream and increment internal counter
|
void |
AllAggregatorServerData.fillNextSuperstepMapsWhenReady(Set<Integer> workerIds,
Map<String,org.apache.hadoop.io.Writable> previousAggregatedValuesMap,
Map<String,Aggregator<org.apache.hadoop.io.Writable>> currentAggregatorMap)
This function will wait until all aggregator requests from workers have
arrived, and fill the maps for next superstep when ready.
|
static Aggregator<org.apache.hadoop.io.Writable> |
AggregatorUtils.newAggregatorInstance(Class<Aggregator<org.apache.hadoop.io.Writable>> aggregatorClass,
ImmutableClassesGiraphConfiguration conf)
Create new aggregator instance from aggregator class,
catch all exceptions.
|
void |
OwnerAggregatorServerData.registerAggregator(String name,
Class<Aggregator<org.apache.hadoop.io.Writable>> aggregatorClass)
Register an aggregator which current worker owns.
|
void |
AllAggregatorServerData.registerAggregatorClass(String name,
Class<Aggregator<org.apache.hadoop.io.Writable>> aggregatorClass)
Register the class of the aggregator, received by master or worker.
|
| 限定符和类型 | 方法和说明 |
|---|---|
void |
NettyMasterClient.sendAggregator(String aggregatorName,
Class<? extends Aggregator> aggregatorClass,
org.apache.hadoop.io.Writable aggregatedValue) |
| 限定符和类型 | 方法和说明 |
|---|---|
<A extends org.apache.hadoop.io.Writable> |
MasterAggregatorHandler.registerAggregator(String name,
Class<? extends Aggregator<A>> aggregatorClass) |
<A extends org.apache.hadoop.io.Writable> |
MasterAggregatorUsage.registerAggregator(String name,
Class<? extends Aggregator<A>> aggregatorClass)
Register an aggregator in preSuperstep() and/or preApplication().
|
<A extends org.apache.hadoop.io.Writable> |
MasterCompute.registerAggregator(String name,
Class<? extends Aggregator<A>> aggregatorClass) |
<A extends org.apache.hadoop.io.Writable> |
MasterAggregatorHandler.registerPersistentAggregator(String name,
Class<? extends Aggregator<A>> aggregatorClass) |
<A extends org.apache.hadoop.io.Writable> |
MasterAggregatorUsage.registerPersistentAggregator(String name,
Class<? extends Aggregator<A>> aggregatorClass)
Register persistent aggregator in preSuperstep() and/or
preApplication().
|
<A extends org.apache.hadoop.io.Writable> |
MasterCompute.registerPersistentAggregator(String name,
Class<? extends Aggregator<A>> aggregatorClass) |
Copyright © 2011-2013 The Apache Software Foundation. All Rights Reserved.


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Content Rating
Rate content based on objective content.
|
Public Member Functions | |
| def | __init__ (self, language='en', local_dictionary=None) |
| def | __contains__ (self, key) |
| def | __getitem__ (self, key) |
| def | word_frequency (self) |
| def | word_probability (self, word, total_words=None) |
| def | correction (self, word) |
| def | candidates (self, word) |
| def | known (self, words) |
| def | unknown (self, words) |
| def | edit_distance_1 (self, word) |
| def | edit_distance_2 (self, word) |
The SpellChecker class encapsulates the basics needed to accomplish a simple spell checking algorithm. It is based on the work by Peter Norvig (https://norvig.com/spell-correct.html). Args: language (str): The language of the dictionary to load or None for no dictionary. Defaults to `en`. local_dictionary (str): The path to a locally stored word frequency dictionary.
Definition at line 15 of file spellchecker.py.
| def capstoneproject.content_rating.spelling_correction.spellchecker.SpellChecker.__init__ | ( | self, | |
language = 'en' , |
|||
local_dictionary = None |
|||
| ) |
Overwrites the __init__ function and loads the system's dictionary. :param language: the dictionary's language, set to English. :param local_dictionary: the local_dictionary containing the words and word frequencies to be used.
Definition at line 25 of file spellchecker.py.
| def capstoneproject.content_rating.spelling_correction.spellchecker.SpellChecker.__contains__ | ( | self, | |
| key | |||
| ) |
setup easier known checks
Definition at line 43 of file spellchecker.py.
| def capstoneproject.content_rating.spelling_correction.spellchecker.SpellChecker.__getitem__ | ( | self, | |
| key | |||
| ) |
setup easier frequency checks
Definition at line 47 of file spellchecker.py.
| def capstoneproject.content_rating.spelling_correction.spellchecker.SpellChecker.candidates | ( | self, | |
| word | |||
| ) |
Generate possible spelling corrections for the provided word up to an edit distance of two, if and only when needed. Args: word (str): The word for which to calculate candidate spellings. Returns: set: The set of words that are possible candidates.
Definition at line 85 of file spellchecker.py.
| def capstoneproject.content_rating.spelling_correction.spellchecker.SpellChecker.correction | ( | self, | |
| word | |||
| ) |
The most probable correct spelling for the word. Args: word (str): The word to correct Returns: str: The most likely candidate
Definition at line 74 of file spellchecker.py.
| def capstoneproject.content_rating.spelling_correction.spellchecker.SpellChecker.edit_distance_1 | ( | self, | |
| word | |||
| ) |
Compute all strings that are one edit away from `word` using only the letters in the corpus. Args: word (str): The word for which to calculate the edit distance. Returns: set: The set of strings that are edit distance two from the provided word.
Definition at line 121 of file spellchecker.py.
| def capstoneproject.content_rating.spelling_correction.spellchecker.SpellChecker.edit_distance_2 | ( | self, | |
| word | |||
| ) |
Compute all strings that are two edits away from `word` using only the letters in the corpus. Args: word (str): The word for which to calculate the edit distance. Returns: set: The set of strings that are edit distance one from the provided word.
Definition at line 138 of file spellchecker.py.
| def capstoneproject.content_rating.spelling_correction.spellchecker.SpellChecker.known | ( | self, | |
| words | |||
| ) |
The subset of `words` that appear in the dictionary of words. Args: words (list): List of words to determine which are in the corpus Returns: set: The set of those words from the input that are in the corpus
Definition at line 98 of file spellchecker.py.
| def capstoneproject.content_rating.spelling_correction.spellchecker.SpellChecker.unknown | ( | self, | |
| words | |||
| ) |
The subset of `words` that do not appear in the dictionary. Args: words (list): List of words to determine which are not in the \ corpus Returns: set: The set of those words from the input that are not in \ the corpus
Definition at line 109 of file spellchecker.py.
| def capstoneproject.content_rating.spelling_correction.spellchecker.SpellChecker.word_frequency | ( | self | ) |
An encapsulation of the word frequency dictionary :return: The word's frequency
Definition at line 52 of file spellchecker.py.
| def capstoneproject.content_rating.spelling_correction.spellchecker.SpellChecker.word_probability | ( | self, | |
| word, | |||
total_words = None |
|||
| ) |
Calculate the probability of the `word` being the desired, correct word. Args: word (str): The word for which the word probability is calculated. total_words (int): The total number of words to use in the calculation; use the default for using the whole word frequency Returns: float: The probability that the word is the correct word
Definition at line 59 of file spellchecker.py.


|
App Engine Python SDK
v1.6.9 rev.445
The Python runtime is available as an experimental Preview feature.
|
Classes | |
| class | _BaseMetadata |
| class | EntityGroup |
| class | Kind |
| class | Namespace |
| class | Property |
Functions | |
| def | get_namespaces |
| def | get_kinds |
| def | get_properties_of_kind |
| def | get_representations_of_kind |
| def | get_entity_group_version |
Variables | |
| list | __all__ |
Models and helper functions for access to app's datastore metadata. These entities cannot be created by users, but are created as results of __namespace__, __kind__, __property__ and __entity_group__ metadata queries or gets. A simplified API is also offered: ndb.metadata.get_namespaces(): A list of namespace names. ndb.metadata.get_kinds(): A list of kind names. ndb.metadata.get_properties_of_kind(kind): A list of property names for the given kind name. ndb.metadata.get_representations_of_kind(kind): A dict mapping property names to lists of representation ids. ndb.metadata.get_entity_group_version(key): The version of the entity group containing key (HRD only). get_kinds(), get_properties_of_kind(), get_representations_of_kind() implicitly apply to the current namespace. get_namespaces(), get_kinds(), get_properties_of_kind(), get_representations_of_kind() have optional start and end arguments to limit the query to a range of names, such that start <= name < end.
| def google.appengine.ext.ndb.metadata.get_entity_group_version | ( | key | ) |
Return the version of the entity group containing key. Args: key: a key for an entity group whose __entity_group__ key you want. Returns: The version of the entity group containing key. This version is guaranteed to increase on every change to the entity group. The version may increase even in the absence of user-visible changes to the entity group. May return None if the entity group was never written to. On non-HR datatores, this function returns None.
| def google.appengine.ext.ndb.metadata.get_kinds | ( | start = None , |
|
end = None |
|||
| ) |
Return all kinds in the specified range, for the current namespace. Args: start: only return kinds >= start if start is not None. end: only return kinds < end if end is not None. Returns: A list of kind names between the (optional) start and end values.
| def google.appengine.ext.ndb.metadata.get_namespaces | ( | start = None , |
|
end = None |
|||
| ) |
Return all namespaces in the specified range. Args: start: only return namespaces >= start if start is not None. end: only return namespaces < end if end is not None. Returns: A list of namespace names between the (optional) start and end values.
| def google.appengine.ext.ndb.metadata.get_properties_of_kind | ( | kind, | |
start = None , |
|||
end = None |
|||
| ) |
Return all properties of kind in the specified range. NOTE: This function does not return unindexed properties. Args: kind: name of kind whose properties you want. start: only return properties >= start if start is not None. end: only return properties < end if end is not None. Returns: A list of property names of kind between the (optional) start and end values.
| def google.appengine.ext.ndb.metadata.get_representations_of_kind | ( | kind, | |
start = None , |
|||
end = None |
|||
| ) |
Return all representations of properties of kind in the specified range. NOTE: This function does not return unindexed properties. Args: kind: name of kind whose properties you want. start: only return properties >= start if start is not None. end: only return properties < end if end is not None. Returns: A dictionary mapping property names to its list of representations.
| list google.appengine.ext.ndb.metadata.__all__ |


by Matthew Byrne, 16-Dec-2015
(a.k.a. Source Control and Revision Control)
A opinion (v. commonly followed) on how to use Git
A rapid intro to concepts and considerations
git checkout -b marys-feature master
git push -u origin marys-feature
git push
git checkout master
git pull
git pull origin marys-feature
git push
git rebase
Continuous Integration is a software development practice where members of a team integrate their work frequently, usually each person integrates at least daily - leading to multiple integrations per day. Each integration is verified by an automated build (including test) to detect integration errors as quickly as possible.
import unittest
class DefaultWidgetSizeTestCase(unittest.TestCase):
def runTest(self):
widget = Widget('The widget')
self.assertEqual(widget.size(),
(50, 50),
'incorrect default size')
The corresponding class looks like
class Widget:
def __init__(self, name):
# do something
def size(self):
# set h and w
return (h, w)
describe('GET /user/:id', function(){
describe('when present', function(){
it('should display the users pets', function(done){
request(app)
.get('/user/1')
.expect(/\/pet\/1">Loki/)
.expect(/\/pet\/2">Jane/)
.expect(200, done)
})
})
describe('when not present', function(){
it('should 404', function(done){
request(app)
.get('/user/123')
.expect(404, done);
})
})
})
httperf --server hostname \
--port 80 --uri /test.html \
--rate 150 --num-conn 27000 \
--num-call 1 --timeout 5
Total: connections 27000 requests 26701 replies 26701 test-duration 179.996 s
Connection rate: 150.0 conn/s (6.7 ms/conn, <=47 concurrent connections)
Connection time [ms]: min 1.1 avg 5.0 max 315.0 median 2.5 stddev 13.0
Connection time [ms]: connect 0.3
Request rate: 148.3 req/s (6.7 ms/req)
Request size [B]: 72.0
Reply rate [replies/s]: min 139.8 avg 148.3 max 150.3 stddev 2.7 (36 samples)
Reply time [ms]: response 4.6 transfer 0.0
Reply size [B]: header 222.0 content 1024.0 footer 0.0 (total 1246.0)
Reply status: 1xx=0 2xx=26701 3xx=0 4xx=0 5xx=0
CPU time [s]: user 55.31 system 124.41 (user 30.7% system 69.1% total 99.8%)
Net I/O: 190.9 KB/s (1.6*10^6 bps)
Errors: total 299 client-timo 299 socket-timo 0 connrefused 0 connreset 0
Errors: fd-unavail 0 addrunavail 0 ftab-full 0 other 0
*
“The team agrees on, and displays prominently somewhere in the team room, a list of criteria which must be met before a product increment "often a user story" is considered "done".”
Includes creating test data, actually testing, ensuring it's deployable, documenting
~2 week Sprints
Per-Sprint planning session
End of Sprint: Ship to QA env
Large tasks broken up and difficulty rated
Order of development negotiated with client
Often start out with simple scripts
Client confusion / lack of clarity
Personnel rotation
Fork and re-use code
We can have version control & tests,
and yet still have poor quality code.
function fileUpload($window, Modal) {
return {
restrict: 'A',
scope: {
sendData: '&',
reupload: '='
},
templateUrl: 'components/fileUpload/fileUpload.html',
link: function (scope, element) {
// Get file upload element.
var input = element.find('input');
// Watch for file change.
input.bind('change', function () {
// continued
// Extract first and only uploaded file.
var file = input[0].files[0];
// Check that the user's browser supports the FileReader API.
if ($window.FileReader) {
var reader = new $window.FileReader();
// If an error occurs while reading the file a modal will display.
var modalContent;
// Handle read complete.
reader.onload = function (e) {
// Get the name of the file.
var name = input[0].files[0].name;
// continued
// Extract file extension.
var extension = name.split('.').pop().toLowerCase();
// The file must be a CSV file.
if (extension === 'csv') {
try {
// Extract file upload results.
var contents = e.target.result;
// Have d3 convert text to object.
var data = d3.csv.parse(contents);
// Send results back.
scope.sendData({data: data, file: name});
// continued
} catch (e) {
// Trying to read the file has failed, the user will be notified.
modalContent = {
title: 'Error Reading File',
text: 'There is an issue with the file being uploaded. Please try ' +
'again or use a different file.'
};
}
} else {
// The user has not uploaded a CSV. Display an error dialog.
modalContent = {
title: 'Incorrect File Type',
text: 'You have uploaded a ' + extension.toUpperCase() +
' file. This is not supported. Please upload a CSV file.',
icon: 'warning'
};
}
// continued
// Display a modal if necessary.
if (!_.isUndefined(modalContent)) {
// Regardless of the error, a close button and warning icon
// will display on the modal dialog.
modalContent.icon = 'warning';
modalContent.buttons = [{
label: 'Close',
icon: 'times',
click: function () {
Modal.hide();
}
}];
// Display the modal to the user.
Modal.show(modalContent);
// continued
// Poor angular will be lost now since FileReader was used.
// Need to $apply() to get the modal to appear.
scope.$apply();
}
};
// Read file contents as text.
reader.readAsText(file);
} else {
// The FileReader API is missing, the user cannot continue.
// continued
Modal.show({
title: 'Browser Issue',
text: 'The browser you are using does not support a ' +
'feature necessary for uploading data in this application. ' +
'Please use a more up to date browser to continue.',
icon: 'warning',
buttons: [{
label: 'Close',
icon: 'times',
click: function () { Modal.hide(); }
}]
});
}
});
}
};
}
def build_month_end_df_from_activity_df(activity_df):
"""
Returns a month-end Data Frame based on the transaction-day data
Some colums take the last value, others the sum.
"""
monthly_df = pd.DataFrame()
last_vals = activity_df.groupby(pd.TimeGrouper('1M')).last()
sum_vals = activity_df.groupby(pd.TimeGrouper('1M')).sum()
last_cols = SharedUtils.get_cols_for_last_vals()
sum_cols = SharedUtils.get_cols_for_summation()
monthly_df[last_cols] = last_vals[last_cols]
monthly_df[sum_cols] = sum_vals[sum_cols]
return monthly_df
A special word on
CREATE PROCEDURE create_email_address ( -- Procedure heading part begins
name1 VARCHAR2,
name2 VARCHAR2,
company VARCHAR2,
email OUT VARCHAR2
) -- Procedure heading part ends
AS
-- Declarative part begins (optional)
error_message VARCHAR2(30) := 'Email address is too long.';
BEGIN -- Executable part begins (mandatory)
email := name1 || '.' || name2 || '@' || company;
EXCEPTION -- Exception-handling part begins (optional)
WHEN VALUE_ERROR THEN
DBMS_OUTPUT.PUT_LINE(error_message);
END build_email_address;
class User(models.Model):
company = models.CharField(max_length=100)
name1 = models.CharField(max_length=100)
name2 = models.CharField(max_length=100)
def build_username(self):
return name1 + '.' + name2
def build_email_address(self):
return build_username() '@' + company
class Company(models.Model):
name = models.CharField(max_length=100)
class User(models.Model):
company = models.ForeignKey(Company)
name1 = models.CharField(max_length=100)
name2 = models.CharField(max_length=100)
def build_username(self):
return name1 + '.' + name2
def build_email_address(self):
return build_username() '@' + company.name
class Company(models.Model):
name = models.CharField(max_length=100)
class User(models.Model):
company = models.ForeignKey(Company)
first_name = models.CharField(max_length=100, db_column='name1',)
last_name = models.CharField(max_length=100, db_column='name2',)
def build_username(self):
return first_name + '.' + last_name
def build_email_address(self):
return build_username() '@' + company.name
“ A software design paradigm which seeks to decrease the number of decisions that developers need to make, gaining simplicity, but not necessarily losing flexibility. ”
“ A library performs specific, well-defined operations. ”
“ A framework is a skeleton where the application defines the "meat" of the operation by filling out the skeleton. The skeleton still has code to link up the parts but the most important work is done by the application. ”


What drives me in my work is to make people’s life easier. Design and create technology that feels so natural, you forget how complicated it is.
In 2014 I was preparing my Bachelor in Computer Science, at the University of Toulouse, when I discover the field of Human Computer Interaction (HCI). 2 years later I succesfully graduted from the French School of Civil Aviation (ENAC) and got my Master Degree in HCI.
I subsequently started my career, in the User Experience research team of ruwido (an Austrian remote control manufacturor). There, I developed my skills in User Experience (UX), User Interface (UI) design, Ergonomics and Research. After this great experience, I decided to improve my programming skills. So I became a Full-Stack developer at Sopra Steria, where I'm currently working.
What drives me in my work is to make people’s life easier. Design and create technology that feels so natural, they forget how complicated it is.
I was not predestined to study programming. I started it by chance. I came at the University to study civil engineering. During my first week there, I had to choose between a major in chemistery or in computer science.
6 months later I quit civil engineering, and took the decision to pursue my major.
Among years, I learned a huge variety of languages. What I like the most in programming is the problem solving, and its artisanal nature.
I've been drawing for as long as I can remeber. At 6, I started studying graphic arts, and I never stopped ever since.
For more than five years, I learned to use this passion professionaly. Thanks to my education I learned how to use tools such as Illustrator, Photoshop, or XD to design User Interfaces (UI).
I've been drawing for as long as I can remeber. At 6, I started studying graphic arts, and I never stopped ever since.
For more than five years, I learned to use this passion professionaly. Thanks to my education I learned how to use tools such as Illustrator, Photoshop, or XD to design User Interfaces (UI).
Dec 31, 2018
Dec 31, 2018
Aug 26, 2016
A circular interactive TV interface
A website of independant podcasts
LinkedIn
Behance
Twitter


Reports type casts which are overly strong. For instance,
casting an object to ArrayList when casting it to
List would do just as well. Note: much like the Redundant type cast
inspection, applying the fix for this inspection may change the semantics of your program, if you are
intentionally using an overly strong cast to cause a ClassCastException to be generated. Use caution.
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