---
title: Meeting Workflow
layout: base-subnav
permalink: /meetings/workflow/
priority: 2
sections:
- link: "#docker-win"
name: "Windows"
- link: "#docker-mac"
name: "macOS"
- link: "#docker-lnx"
name: "Linux"
---
{% include navs/subnav-scroll.html urls=page.sections %}
This should take you though all the steps you need for the workflow that we use to run lectures and workshops. If none of these steps work, please let the coordinators know.
Windows
{% comment %}
Hyper-V Instructions
{% endcomment %}
{% include workflow-instructions.html
workflow=site.data.workflow.windows.HyperV
lastUpdate=site.data.workflow.windows.lastUpdate %}
{% comment %}
Docker Instructions
{% endcomment %}
{% include workflow-instructions.html
workflow=site.data.workflow.windows.Docker
lastUpdate=site.data.workflow.windows.lastUpdate %}
{% comment %}
GitHub Instructions
{% endcomment %}
{% include workflow-instructions.html
workflow=site.data.workflow.windows.GitHub
lastUpdate=site.data.workflow.windows.lastUpdate %}
macOS
{% comment %}
Docker Instructions
{% endcomment %}
{% include workflow-instructions.html
workflow=site.data.workflow.macOS.Docker
lastUpdate=site.data.workflow.macOS.lastUpdate %}
{% comment %}
GitHub Instructions
{% endcomment %}
{% include workflow-instructions.html
workflow=site.data.workflow.macOS.GitHub
lastUpdate=site.data.workflow.macOS.lastUpdate %}
Linux
{% comment %}
Docker Instructions
{% endcomment %}
{% include workflow-instructions.html
workflow=site.data.workflow.linux.Docker
lastUpdate=site.data.workflow.linux.lastUpdate %}
{% comment %}
GitHub Instructions
{% endcomment %}
{% include workflow-instructions.html
workflow=site.data.workflow.linux.GitHub
lastUpdate=site.data.workflow.linux.lastUpdate %}


Simple pedestrian crossing simulator, written for Hamish's Birthday.
Send requests for more features to http://twitter.com/bmsleight
Install on Phone or Tablet
Open in Safari or Chome
Then tap share and 'Add to Home Screen'
To Do
Need tripod to get better images.
Toucan aspects, but pedestrain legend
Info
Sounds of vehicles from BBC Sounds effects http://bbcsfx.acropolis.org.uk/
Souce code is at https://github.com/bmsleight/WaitForLightsApp/
Uses the wonderful Brython https://brython.info/


--- layout: page title: About header-img: "img/about-bg.png" ---
Did you try turning it off and back on again?


findPeaks
Jan 1, 0001
A simple algorithm to find local maxima/minima in sequential data
Fix-exif-artist
Jan 1, 0001
Fix the Exif.Image.Artist tag based on user input depending from the camera model. Useful if you have a bunch of photographs from different people all mixed up.
Ford-Diagram
Jan 1, 0001
This R Function creates a simple Ford diagram for archaeological seriation with error bars determined based on sample size were count data are given
frontiers-palaeo-additive-modelling
Jan 1, 0001
Modelling and feature detection in palaeoenvironmental time series using additive models.
FuzzyViewshed
Jan 1, 0001
ArcGIS toolbox for fuzzy viewshed calculation.
GCD
Jan 1, 0001
Global Charcoal Database
ggvegan
Jan 1, 0001
ggplot-based plots for vegan.
GigaMesh
Jan 1, 0001
A modular software for display, editing and visualization of 3D-data typically acquired with structured light scanning (SLS) or structure from motion (SfM).
GIS-Projects
Jan 1, 0001
GIS Projects for teaching and learning about Computational Archaeology
gitMuseum
Jan 1, 0001
A repository listing Museums active on GitHub, written in Rstats


Last updated: 2014-02-25
RELAX NG is a schema language for XML. The key features of RELAX NG are that it:
The RELAX NG specifications have been developed within OASIS by the RELAX NG Technical Committeee. RELAX NG is also an International Standard (ISO/IEC 19757-2). It is Part 2 of ISO/IEC 19757 DSDL (Document Schema Definition Languages), which is maintained by ISO/IEC JTC1/SC34/WG1. RELAX NG was based on TREX designed by James Clark and RELAX Core designed by MURATA Makoto.
project for extending RELAX NG has started in ISO/IEC JTC1/SC34/WG1. RELAX NG Version 2 is likely to become a new part of ISO/IEC 19757, while RELAX NG Version 1 continues to exist as Part 2 of ISO/IEC 19757.
RELAX NG Tutorial (errata), OASIS Committee Specification, 3 December 2001. Tutorial for RELAX NG using the XML syntax. More recent, but not officially approved Working Draft, 26 March 2003 also available
RELAX NG Compact Syntax Tutorial, OASIS Working Draft, 26 March 2003. Tutorial for RELAX NG using the compact syntax, not assuming prior knowledge of XML syntax.
RELAX NG Specification (errata), OASIS Committee Specification, 3 December 2001. Definitive specification for RELAX NG using the XML syntax.
ISO/IEC 19757-2:2003 Document Schema Definition Language (DSDL) -- Part 2: Regular-grammar-based validation -- RELAX NG. ISO version of RELAX NG Specification; the technical content of this is identical to the OASIS Committee Specification, but there are editorial changes to satisfy ISO rules.
RELAX NG Compact Syntax, OASIS Committee Specification, 21 November 2002. Definitive specification for the compact syntax in terms of the XML syntax.
ISO/IEC 19757-2:Amd1 Document Schema Definition Language (DSDL) -- Part 2: Regular-grammar-based validation -- RELAX NG -- Amendment 1: Compact Syntax. ISO version of the RELAX NG Compact Syntax; RELAX NG Compact Syntax; the technical content of this is identical to the OASIS Committee Specification, but there are editorial changes to satisfy ISO rules.
ISO/IEC 19757-2:2008 Document Schema Definition Language (DSDL) -- Part 2: Regular-grammar-based validation -- RELAX NG. The second edition is created by consolidating the first edition and Amd1:2006 and then fixing some bugs.
RELAX NG DTD Compatibility, OASIS Committee Specification, 3 December 2001. Defines annotations and datatypes that support some of the features from XML 1.0 DTDs not supported directly by RELAX NG.
Guidelines for using W3C XML Schema Datatypes with RELAX NG, OASIS Committee Specification, 7 September 2001.
RELAX NG is a book written by Eric van der Vlist. It is freely available on the Web.
XML Matters: Kicking back with RELAX NG, Part 1, Part 2, Part 3, David Mertz, IBM developerWorks. Series of articles introducing RELAX NG.
Relax NG, Compared, Eric van der Vlist, XML.com. Article comparing RELAX NG and W3C XML Schema.
RELAX NG's Compact Syntax, Michael Fitzgerald, XML.com. Article introducing RELAX NG using the compact syntax.
XML and the IETF: Making the case for RELAX NG, Michael Smith, xmlhack. Reports on arguments advanced as to why RELAX NG is preferable to W3C XML Schema, in the context of IETF discussions on XML.
The Design of RELAX NG, James Clark. Paper discussing the thinking behind the design of RELAX NG.
ZVON RELAX Reference, Jiri Jirat. On-line reference guide to RELAX NG.
Notes on implementing RELAX NG, James Clark. Provides some information on how to implement a RELAX NG validator.
The rng-users mailing list is for anything related to the use of RELAX NG. The precursor is relaxng-user. Questions from new users are welcome.
The emacs-nxml-mode mailing list is for nxml-mode.
Jing, RELAX NG validator. Supports both XML and compact syntaxes. Can be used as a library for validation with any SAX2 parser. Implemented in Java. Written by James Clark. Open source (BSD license).
RNV Relax NG Compact Syntax validator in ANSI C (under BSD license)
Libxml2, the XML C library for Gnome. Recent versions of libxml2 (at least 2.5.5) support RELAX NG validation. Only the XML syntax is supported. Libxml2 is included in most modern Linux distributions. Implemented in C. Written by Daniel Veillard. Open source (MIT license).
MSV, Sun Multi-Schema XML Validator. Validates RELAX NG. Supports XML syntax only. Also supports other schema languages including W3C XML Schema. Can be used as a library for validation and for accessing the schema. Implemented in Java. Written by Kohsuke KAWAGUCHI. Open source (BSD license).
Bali, RELAX NG validator compiler. Reads a RELAX NG schema and produces a validator that can validate documents with the given schema. Compiler uses MSV and is implemented in Java. Generated validator can be in Java, C++ for Win32 (using MSXML4) or C#. Written by Kohsuke KAWAGUCHI. Open source (BSD license).
Tenuto, RELAX NG validator for .NET. Implemented in C#. Open source (BSD license).
VBRELAXNG, ActiveX DLL for validating RELAX NG. RELAX NG Workshop sample client application also available. Uses MSXML4. Implemented in Visual Basic. Written by YONEKURA Koji. Freely downloadable.
XVIF, XML Validation Interoperability Framework. Proof of concept implementation of the idea of embedding XML processing pipelines in a grammar. Includes a partial implementation of RELAX NG. Implemented in Python. Written By Eric van der Vlist. Open source (MPL).
RelaxngValidatingReader, .NET XmlReader that validates using RELAX NG. Implemented in C#. Included in Mono. Written by Atsushi Enomoto. Open source (public domain).
On-line validator. It supports both RELAX NG Compact and XML syntax.
ManekiNeko, Xerces parser configuration that supports RELAX NG validation. Puts an XNI wrapper around Jing. Implemented in Java. Written by Andy Clark. Open source (Apache-style license).
Sun MSV Schematron add-on, allows a document to be validated against a RELAX NG grammar and also against Schematron constraints embedded as annotations in the RELAX NG. Uses MSV. Implemented in Java. Written by Kohsuke KAWAGUCHI. Open source (BSD license).
Topologi XML Judge , a Windows application for validating an XML document against a variety of schema languages, including RELAX NG. Uses VBRELAXNG.
Yggdrasill/EsTerra RELAX NG validator (in Japanese)
Trang, multi-format schema converter based on RELAX NG. Trang supports the following languages: RELAX NG (both XML and compact syntax), XML 1.0 DTDs, W3C XML Schema. A schema written in any of the supported schema languages can be converted into any of the other supported schema languages, except that W3C XML Schema is supported for output only, not for input. Trang can also infer a schema from one or more example XML documents. Trang aims to produce human-understandable schemas; it tries to preserve all aspects of the input schema that may be significant to a human reader, including the definitions, the way the schema is divided into files, annotations and comments. Uses Jing. Implemented in Java. Written by James Clark. Open source (BSD license).
Sun RELAX NG Converter. The Sun RELAX NG Converter is a tool to convert schemas written in various schema languages to their equivalent in RELAX NG. It supports schemas written in XML DTD, RELAX Core, RELAX namespace, TREX, W3C XML Schema, and RELAX NG itself. It does aims only to produce a RELAX NG schema that is equivalent to the input schema in the sense that it validates the same documents as the input schema; it does not aim to preserve information that is not significant for validation such as the use of definitions. Based on MSV. Implemented in Java. Written by Kohsuke KAWAGUCHI. Open source (BSD license).
XSD to RelaxNG. web-based converter from W3C XML Schema to RELAX NG. The user types a WXS schema in this web form, and gets a RELAX NG schema with the convert button. The conversion is done by an XSLT stylesheet.
InstanceToSchema, a tool to generate a RELAX NG schema from XML instances. Implemented in Java. Written by Didier Demany. Open source (BSD license).
rng2srng, a tool to convert RELAX NG (XML or compact syntax) into the simple syntax. The simple syntax is a minimal subset of the XML syntax defined by the RELAX NG specification, into which any RELAX NG schema can be transformed. Uses Jing. Implemented in Java. Written by Kohsuke KAWAGUCHI. Open source (BSD license).
NekoDTD, DTD to instance converter. Uses the Xerces Native Interface (XNI) to convert DTD into an XML document, which can then be converted into other formats. Includes XSLT stylesheets to convert XML output format into RELAX NG. Implemented in Java. Written by Andy Clark. Open source (Apache-style license).
RNG to RNC Converter. Contains XSLT stylesheets for converting RELAX NG schemas in the XML syntax to the compact syntax. The stylesheets can output either a plain text result, or a hyperlinked HTML document. Written by David Rosenborg. Open source (BSD license).
rnc2rng, converter from RELAX NG Compact Syntax to RELAX NG XML Syntax. Implemented in Python. Written by David Mertz. Open Source (public domain).
Simplification of RelaxNG schemas. A web-based simplifier of RELAX NG schemas. It is based on an XSLT stylesheet written by Eric van der Vlist.
Relaxer, schema compiler. Can generate a collection of Java classes from a RELAX NG schema along with code to create instances of those classes from XML and vice-versa. Provides many other features useful for processing data described by a RELAX NG schema. Uses MSV. Implemented in Java. Written by ASAMI Tomoharu. Open source (GPL for compiler, BSD license for generated code, LGPL for runtime libraries).
RelaxNGCC, RELAX NG Compiler Compiler. Tool for generating Java source code from a given RELAX NG grammar. By embedding code fragments in the grammar like yacc or JavaCC, you can take appropriate actions while parsing valid XML documents against the grammar. Uses MSV. Implemented in Java. Written by Daisuke OKAJIMA and Kohsuke KAWAGUCHI. Open source (GPL for compiler, public domain for generated code).
Stylus Studio now supports RELAX NG!
Firedocs is a browser based wysiwyg-xml-editor that has schema-driven auto-complete and uses Jing for validation. Licence: ASL 2.0
xmloperator, an XML editor, suitable for editing data oriented documents. Allows any RELAX NG schema to be used to guide editing. Implemented in Java. Written by Didier Demany. Open source (BSD license).
Topologi Collaborative Markup Editor, XML editor including support for RELAX NG. Commercial.
<oXygen/> XML editor. Provides validation and completion using RELAX NG. Supports both XML and compact syntaxes. Multiplatform, implemented in Java. Commercial.
XMLBlueprint XML Editor Provides validation and completion using RELAX NG. Commercial.
XMLBuddy Pro Provides validation and completion using RELAX NG. Commertical.
RNGEdit (in Japanese)
nXML mode. nXML mode is an addon for GNU Emacs, which makes GNU Emacs into a powerful XML editor.
RNC Emacs Mode.  Written by David Rosenborg. Open source (BSD license).
RNC SAX Parser. SAX2 parser for the RELAX NG Compact syntax. It will parse a compact syntax schema and send events to a content handler as if it was reading a RELAX NG schema in the XML syntax. Implemented in Java. Written by David Rosenborg. Open source (BSD license).
RNC Vim syntax definition. It allows the Vim editor to do syntax highlighting for RELAX NG compact syntax schemas. Written by Hans Fugal. Open source.
RELAX NG datatype interface. Interface between RELAX NG validators and datatype libraries. Java, .NET and COM versions available. Written by James Clark and Kohsuke KAWAGUCHI. Open source (BSD license).
Sun XML datatypes library. Implementaton of the datatypes of XML Schema Part 2. Supports the RELAX NG datatype interface. Used by MSV. Implemented in Java. Written by Kohsuke KAWAGUCHI. Open source (BSD license).
Sun XML Instance Generator. Tool to generate valid and invalid instances from schemas. It can be used for generating test cases for XML applications that need to conform to a particular schema. Uses MSV. Implemented in Java. Written by Kohsuke KAWAGUCHI. Freely downloadable, but not open source.
RelaxMeter, a tool to check whether a RELAX NG grammar is ambiguous. Uses MSV. Implemented in Java. Written by Kohsuke KAWAGUCHI. Open source (MIT license).
Schema simplifier in XSLT. An XSLT stylesheet to perform the RELAX NG syntax simplification described in the RELAX NG specification. Written by Eric van der Vlist.
incelim. This set of XSLT stylesheets take a Relax NG grammar in XML syntax, expand all includes and externalRefs, and optionally replace references to text, empty, or notAllowed with the patterns. The result is a 'compiled' schema convenient for distribution. Written by David Tolpin.
RELAX NG Object Model. RNGOM is an open-source Java library for parsing RELAX NG grammars. It is based on Jing, but exposes schemas to programmers. Written by Kohsuke Kawaguchi.
Schema to web form. A web-based interface for transforming a RELAX NG schema into an XHTML form.
New!XSLT 3.0
Citation Style Language (CSL) uses RELAX NG schemas.
Google Data API (Calendar List Feed Schema, for example)
Open Publication Structure(OPS), IDPF
Open Packaging Format (OPF), IDPF
Open Container Format (OCF), IDPF
RELAX NG 1.0, from the RELAX NG Specification, with errata applied.
DocBook, Norman Walsh.
XHTML, James Clark.
XSLT 1.0, James Clark.
SMBmeta 0.1 on RELAX-NG, Yutaka Furubayashi
P3P 1.0 on RELAX-NG, Yutaka Furubayashi
MathML 2.0 on RELAX-NG, Yutaka Furubayashi
SVG 1.1 on RELAX-NG, Yutaka Furubayashi
W3C XML Schema, Jeni Tennison. An update by Peter A. Bigot.
VoiceXML, Kohsuke KAWAGUCHI.
XML-DSig, Joseph Reagle.
XENC, Joseph Reagle.
RDF, James Clark, David Beckett.
IBTWSH, John Cowan.
ODF RELAX NG schemas for ODF 1.0 and ODF 1.1 are available.
OOXML Ecma-376 2nd edition Parts 1, 2, and 4 includes non-normative RELAX NG schemas.
Test suite, James Clark. Unofficial test suite using the XML syntax.
Kohsuke KAWAGUCHI's RELAX NG page
Yutaka Furubayashi's RELAX NG page
This web page is maintained by MURATA Makoto.


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It was a clear day when she stepped out into the world for the first time. She raised her arms and stretched her lips into an ear to ear grin that made her seem slightly out of it. Happiness. Her heart pounded as her bare feet touched the wet gravel for the first time in years. Like a newly born calf her legs wobbled underneath her. The strong breeze eased her forward and she began to walk, unsure of her destination. Her eyes closed and she took a deep breath.
The fresh air filled her lungs and they ached with unfamiliarity. She opened her eyes. The sights, the sounds, the smells of the ever vibrant, ever awake city had never changed. Some things never do.
But change is inevitable. It is the saber that clears the thickets on the path to growth. This she would learn the hard way. The girl approached her...


"Searching is half the fun life is much more manageable when thought of as a scavenger hunt as opposed to a surprise party." -Jimmy Buffett


Lorem ipsum dolor sit amet, consectetuer elit.
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Guidance
A summary of changes to AS and A levels from 2015.
The attached document shows the main features of reformed AS and A levels to be taught from 2015 onward. It details whether:
as well as:
We consulted on our general approach in June 2012, and published decisions in October 2013 .
Key changes that will apply to all subjects are:
all subjects will have revised subject content which will be used for all AS and A level qualifications in that subject - n most instances this will be produced by DfE. Some subjects benefited from the advice of the A Level Content Advisory Board (ALCAB). These subjects were:
Published: 24 September 2015
Updated: 31 August 2016
From: Ofqual


Choose your Cyberpet!
Rabbit
Dog
Cat
Feed
Drink
Play
Sleep
Hunger
50%
Thirst
50%
Energy
50%
Boredom
50%


Chapter 8 Examples
8.1 Poisons Information Center
Scenario:
- Approximately 40 000 calls per year
- The frequency of calls regarding different drugs/plants etc varies greatly, from a couple per year to thousands per year, so most probably one method will not cover everything.
- The registration of data is done while on the phone, and we know there are mistakes
- Only the field Kommentar has free text
Question: Is the number of calls regarding women aged 15-19 who have been exposed to paracetamol rising or falling over the years.
Aim:
Outcome:
Exposure:
Parametric assumptions:
Dependencies:
8.2 Norwegian Water Pipes
Scenario:
- 146 waterworks in 19 counties in Norway
- Each waterwork uses pipes to deliver water to households
- Information on each waterwork:
- Length of pipes made out of asbestos (in meters)
- Length of pipes made out of iron/steel (in meters)
- Length of pipes made out of PVC (in meters)
- Length of pipes made out of PE/PEH (in meters)
- Length of pipes made out of other (in meters)
- Length of pipes made out of unknown (in meters)
- Length of pipes installed before 1910 (in meters)
- Length of pipes installed in 1910-1940 (in meters)
- Length of pipes installed in 1941-1970 (in meters)
- Length of pipes installed in 1971-2000 (in meters)
- Length of pipes installed after 2000 (in meters)
- Length of pipes installed during an unknown period (in meters)
- Each year, some new pipes are laid to extend the network
- Each year, some pipes are replaced
- Interruption in water delivery is estimated in hours per calendar year
- Data is only for 2015
Question: Is there an association between “interuption in water delivery” and “type of pipe material” and “pipe installation period”
Aim:
Outcome:
Exposure:
Parametric assumptions:
Dependencies:
8.3 Early warning system (EWS) for waterborne outbreaks (part 1)
Scenario:
- NorSySS is a syndromic surveillance system for infectious diseases, run by the NIPH.
- The system is based on national ICPC coded consultation data from general practice in Norway.
- We want to study to what extent NorSySS can serve as an early warning system for local waterborne outbreaks by alerting us to increases in consultation rates for syndromes indicative of gastrointestinal diseases.
- Retrospective syndrome data (number of gastritis cases, per week, for each municipality) from NorSySS will be aligned with outbreak data (outbreak=yes/no) from the national web-based outbreak rapid alert system (Vesuv) for the period 2006-2017.
Question: Is there an association between “recorded outbreak” and “number of gastritis cases”
Aim:
Outcome:
Exposure:
Parametric assumptions:
Dependencies:
8.4 Early warning system (EWS) for waterborne outbreaks (part 2)
Scenario:
- We have weekly data on water quality from water works (e.g. pH, turbidity)
- We have weekly number of gastritis cases, per week, for each municipality
- We hope to increase the knowledge about causes of waterborne outbreaks and to develop an improved surveillance system for early detection of future outbreaks.
Question: Is there an association between “weekly number of gastritis cases” and “water quality from the water works”
Aim:
Outcome:
Exposure:
Parametric assumptions:
Dependencies:
8.5 Incidents in the water supply system and illness
Scenario:
- Data from the water works operation (pH, turbidity) will be linked to health outcome among recipients of the drinking water.
- The study will be a prospective cohort study, with data collected among a random selection of water works.
- Data from the recruited water works will be collected in the period autumn 2017 and the 12 following months.
- Approximately 350 water works will be recruited to provide monthly data on hygienic critical points related to operation and maintenance of the water supply system.
- In parallel, a cohort of approximately 9000 persons, served by water from the recruited water works, will submit monthly reports on symptoms that may indicate gastrointestinal illness.
- The data collection will start in the autumn of 2017 and continue for 12 months.
Question: Is water quality a risk factor for getting sick?
Aim:
Outcome:
Exposure:
Parametric assumptions:
Dependencies:
8.6 Compliance with boil water advisories and perception of risks
Scenario:
- In this study, the compliance and perception of risks among the public with boil water advisories (BWAs) will be examined.
- Although BWAs is a common practice among water utilities, a meta-study suggest that there is limited information and studies on the compliance of BWAs.
- This part, the compliance and perception of risks will be done by studying the perception of and adherence to BWAs among the consumers of drinking water in Bærum municipality.
- Even though the drinking water in Bærum is considered to have good quality, Bærum – like many water works – experience situations of pressure drops due to breaks and maintenance.
- Research has shown that these situations may lead to an increased risk of gastrointestinal infections, and due to this the municipality of Bærum has issued a precautionary BWAs to the affected consumers with every water outage during the last 5-6 years.
- Every year, some 12,000-22,000 consumers have received a precautionary BWA.
- The purpose of these precautionary BWAs is to prevent health consequences caused by possible contamination of water. However, we know little about the consumer’s knowledge about why they receive these BWAs, as well as the way the consumers perceive and adhere to these BWAs.
- This is a cross-sectional study.
- A web-survey will be presented to a randomly selected sample of consumers who received a BWA i Bærum in 2017.
- The web-survey asks about adherence (yes/no) and demographics (e.g. age, sex, income)
Question: Estimate adherence by demographics (and identify if it differs by demographics)
Aim:
Outcome:
Exposure:
Parametric assumptions:
Dependencies:


Scale-invariant feature transform (SIFT) is an graphic alorithm from computer vision. It is designed to describe images by extracting and describing image feautures. It can be applied in many industrial fields including: picture matching, picture joining or even face detecting.
Graphic Processing Unit (GPU) is a special chip designed to manipulate and utilize built-in memory to accelerate the creation of images. Nowadays, because of its SIMD feature and the capacity of high parallelism, it is utilized to accelerate algorithms with huge computational complexity. APIs and frameworks are built to utilize this hardware. Users can easily use these APIs in their program.
Scale-invariant feature transform (SIFT) is a very complex algorithm involving huge amount of matrix or mathmetical computation which may take huge amount of time to process the result of images. So we utilize GPU to accelerate this algorithm.


Class DT_DateTimeCalculator
DateTimeCalculator class is used to calculate the duration between two moments DO NOT USE THIS CLASS DIRECTLY
Direct known subclasses
DT_DateTimeCalculatorService
Abstract
Author: Nuwan
Version: 1.0 Date 2014-05-11 ****************************************************************************** Change log Date / Time Version Issue ID User Description 20140511_2010 1.0 - ndesilva Defined the code ******************************************************************************
Located at library/DT/DateTimeCalculator.php
Author: Nuwan
Version: 1.0 Date 2014-05-11 ****************************************************************************** Change log Date / Time Version Issue ID User Description 20140511_2010 1.0 - ndesilva Defined the code ******************************************************************************
Located at library/DT/DateTimeCalculator.php
public
|
|
public
|
|
protected
integer
|
#
getNoOfDaysInDateInterval(
getNoOfWeekdaysInDateInterval |
protected
integer
|
#
getNoOfWeekdaysInDateInterval(
getNoOfWeekdaysInDateInterval |
protected
integer
|
#
getNoOfCompleteWeeksInDateInterval(
getNoOfCompleteWeeksInDateInterval |
protected
|
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abstract protected
|
#
getValidatedParameters(
Any class that extends DT_DateTimeCalculator and is not abstract must implement getValidatedParameters (To force developers to validate request attributes and use it) |


[gecode-users] Advices for creating new variable type?
Torsten Anders
Torsten.Anders at beds.ac.uk
Tue Apr 26 12:55:35 CEST 2016
Dear Geoffroy,
> For example, in OM there is a Note object with some attributes such as the pitch, the velocity, the duration and I want to create a NoteVar in Gecode to use all possibilities of constraint programming on Note object.
Why not represent your note object with several variables, e.g., of integer domain for the pitch and duration. That way you get all the constraint propagators defined for that domain for free (otherwise you would have to code that all yourself for your new domain, I understand). Besides, you will also need propagation between the different parameters of a note object, i.e., it should not be a single variable.
Some comments on the individual note parameters. By representing pitches and durations as integers you are limiting what the result can express, but this may still be a good compromise. For example, for pitches you could allow for arbitrary equal temperaments with an integer representation, which is relatively generic. For music in just intonation you would ideally have a domain of ratios (which you do not have in Gecode, AFAIK), and for unequal temperaments a domain of reals/floats (which you could have), but an approximation with integers with a high number of pitches per octave (e.g., 1200 for cent resolution) should be fine.
For duration and other rhythmic parameters the situation is a bit more tricky. By limiting yourself to integers you are always limited with respect to contemporary music practice, where you have nested tuplets etc. If you are willing to limit your results to music with a fixed set of possible tuplets and without nesting, then an integer-based representation is fine.
I suggest you make a velocity parameter only optional to avoid creating lots of variables later that are virtually never used. From the many music CSPs that I know of, velocities are very rarely required. If you want to implement those, then it might make actually sense to implement the full or at least large parts of the MIDI protocol for constraint programming (or consider OSC instead), i.e., not just note velocities, but also the MIDI channel of notes, other events like CC messages etc. That may lead to new applications.
> What would be the best idea of implementation for NoteVar to easily apply the constraints and the search on this object?
I am happy to discuss the advantages and disadvantages of different constraint-based music representations off-list. You may also want to have a look at the following literature survey, that compares the design of multiple music constraint systems in quite some detail.
Anders, T. & Miranda, E. R. (2011) Constraint Programming Systems for Modeling Music Theories and Composition. ACM Computing Surveys. 43 (4), 30:1–30:38.
Best wishes,
Torsten
--
Dr Torsten Anders
Course Leader, Music Technology
University of Bedfordshire
Park Square, Room A315
http://www.torsten-anders.de
On 26 Apr 2016, at 09:27, Geoffroy Zoetardt <geoffzoet at hotmail.com> wrote:
> Hi everyone,
>
> I’m actually developing a binding between Gecode and OpenMusic (composition software made by the IRCAM).
> During this project, I want to create new type of variable closer to the musical objects already existing in OpenMusic (OM).
> For example, in OM there is a Note object with some attributes such as the pitch, the velocity, the duration and I want to create a NoteVar in Gecode to use all possibilities of constraint programming on Note object.
> For now, my idea is to implement each attribute as an IntVar content in the NoteVar object because there are mainly two application that I need to do with NoteVar:
> - Be able to apply constraints and search on attribute individually (reason for implementing them as IntVar).
> - Be able to apply constraints and search on the NoteVar object.
> Then I would like to have your advices on « What would be the best idea of implementation for NoteVar to easily apply the constraints and the search on this object? ».
> I hope that it is clear enough.
> Already thank you!
>
> Geoffroy Zoetardt
> _______________________________________________
> Gecode users mailing list
> users at gecode.org
> https://www.gecode.org/mailman/listinfo/gecode-users
More information about the users
mailing list


>A federal appeals court has dealt the Obama administration yet another blow in its quest to keep at least some age restrictions on the sale of emergency contraceptive pills.
In a three-paragraph order, a three-judge panel for the United States Court of Appeals for the 2nd Circuit ruled that although the government's appeal of a lower court decision removing all age restrictions on morning-after pills is still pending, at least some medications must be made available over the counter immediately.
Specifically, the panel said that while the requirement for one-pill versions of the morning-after pill to be made available without age restrictions can be delayed while the appeal is considered, that is not the case for "two-pill variants," which include generic products Next Choice and other levonorgestral tablets.
Ironically, the FDA had sought to produce a compromise by approving in late April an over-the-counter version of Plan B One-Step, a one-pill version that would be available on pharmacy shelves but only to those 15 and over who are able to produce proper identification.
But Plan B One-Step costs in the neighborhood of $50, while the generic two-pill formulations cost about $20 to $35.
The saga of trying to move emergency contraception from a prescription-only to an over-the-counter product has been ongoing for more than a decade through two successive presidential administrations.
U.S. District Court Judge Edward Korman, who has overseen the case since 2005, has made it clear that he thinks the government has dragged its feet to the point of violating the law.
But few expected the New York-based appeals court to agree with Korman, even in part, by denying the government's request to stay his April 6 order while the appeal is being heard.
The government — via the Departments of Justice and Health and Human Services — had no immediate comment on the ruling. Representatives would say only that they were "reviewing the order" from the appeals court.
Those who have been pursuing the case, however, had a bit more to say.
"Today's decision from the 2nd Circuit marks an historic day for women's health," said Nancy Northup, president and CEO of the Center for Reproductive Rights, which has represented some of the plaintiffs in the lawsuit. "Finally, after more than a decade of politically motivated delays, women will no longer have to endure intrusive, onerous and medically unnecessary restrictions to get emergency contraception."
What happens next remains unclear. Some lawyers say the government might be able to appeal to the full 2nd
Circuit. But more likely, if they insist on fighting, government attorneys would have to seek relief from
the Supreme Court justice who oversees the 2nd Circuit — Ruth Bader Ginsburg.


add a new place
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Add a image from "IMG" folder
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Jon Sharp, logged on the web
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Booting a Mac Plus without Mac OS ›
Bare-metal Macintosh Programming - Part 1
Read More ›
impress.js - I'm impressed.

 I do.
Read More ›
XML Tools and EDI conversion
Read More ›
New kernel for Mac OS X?

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New Site Design!


"As we go through this together let's take it day by day."
Help Out!
Lend your hand and let's get involved.
If you know of someone in need then why not lend a helping hand.
If you are someone in need, then reach us at<EMAIL_ADDRESS>#Phone-no: N/A
Help & Support
Gurudwara & Shillong Municipal Board offers food and shelter to the homeless, we encourage others to do the same...


You can convert Excel sheet to Json-Schema or Json data file.
Generate a Json-Schema from an Excel file.
Generate a Json file from an Excel file.
Show chrome developer window.
Download Excel template and show NodeJs version.


10 Days Tour - Shogran & Naran & Hunza - Route Map
[NOTE: Naran Route will only use in Summer
because, in Winter, Naran route will be closed
and we use Besham Route to reach Hunza.]
Day
From
Destination
At Last
01
LAHORE
KIWAI WATERFALL
SHOGRAN
NIGHT STAY IN SHOGRAN
02
SHOGRAN
SIRI, PAYE LAKE
NARAN
BATAKUNDI
NIGHT STAY IN BATAKUNDI
03
BATAKUNDI
JHALKAT
LOLO SAR LAKE
BABUSAR TOP
HUNZA
NIGHT STAY IN HUNZA
04
HUNZA
ALTIT FORT
BALTIT FORT
EAGLE’S NEST
NIGHT STAY IN KARIMABAD
05
KARIMABAD
ATTABAD LAKE
HUSSAINI HANGING BRIDGE
PASSU CONE
KHUNJERAB NATIONAL PARK
CHINA BORDER
NIGHT STAY IN HUNZA
06
HUNZA
NOMAL-KKH Road
NALTAR VALLEY
NALTAR LAKE
PARI LAKE
SATRANGI LAKE
NIGHT STAY IN MINAPIN HOTEL
07
MINAPIN HOTEL
RAKAPOSHI VIEW
MOUNTAINS JUNCTION
NIGHT STAY IN NARAN
08
NARAN
SAIF-UL-MALUK LAKE
KUNHAR RIVER (Rafting)
NARAN BAZAR
NIGHT STAY IN NARAN
09
NARAN
MUZAFFARABAD VIEW
KASHMIR WATERFALL
NEELUM RIVER
MONAL HILLS
NIGHT STAY IN ISLAMABAD
10
ISLAMABAD
TAXILA MUSEUM
KHAN PUR DAM
FAISAL MASJID
CENTAURUS MALL
BACK TO LAHORE
Tour Details
Pick from Lahore and travel to Shogran, short time stay at Kiwai waterfall, shift into jeep, move to Shogran, check in hotel and overnight stay in Shogran.
After breakfast visit Siri, Paye Lake, use jeep track for back to hotel and move towards Naran, check in hotel, Batakundi and overnight stay in Batakundi.
After breakfast visit Jhalkat , Lolosar Lake, short time stay on Babusar Top and move to Hunza, check in hotel and night stay in Hunza.
After breakfast visit Altit Fort, Baltit Fort, Eagle’s Nest and night stay in Karimabad.
After breakfast visit Attabad Lake, Hussaini Hanging Bridge, Passu Cone, Khunjerab National Park, short time stay at China Border, back to hotel and night stay in Hunza.
After breakfast travel to Nomal - KKH Rd shift into jeep, move to Naltar Valley, visit Naltar Lake, Pari Lake, Satrangi Lake, check in hotel and night stay in Minapin Hotel.
After breakfast visit Rakaposhi View, 3 world highest Mountains Junction, Babusar Top and move towards Naran check in hotel and night stay in Naran.
After breakfast visit Saif-ul-Maluk Lake (jeep track), Rafting in Kunhar River, back to hotel, take a rest, visit Naran bazar and night stay.
After breakfast travel to Islamabad, visit Muzaffarabad View, Kashmir waterfall, Neelum River then move towards Islamabad, check in hotel, take a rest, visit Monal, back to hotel and night stay in Islamabad.
After breakfast visit Taxila Museum, Khan Pur Dam, Faisal Masjid, Centaurus Mall and then move back to Lahore for end of tour.


Terminator Genisys
When John Connor (Jason Clarke), leader of the human resistance, sends Sgt. Kyle Reese (Jai Courtney) back to 1984 to protect Sarah Connor (Emilia Clarke) and safeguard the future, an unexpected turn of events creates a fractured time-line. Now, Sgt. Reese finds himself in a new and unfamiliar version of the past, where he is faced with unlikely allies, including the Guardian (Arnold Schwarzenegger), dangerous new enemies, and an unexpected new mission: To reset the future...


{% extends "layout.html" %} {% block page_title %} Fill a vacancy - UJRP {% endblock %} {% block content %} {% include "includes/phase_banner_alpha.html" %} Back Employment type Type of employment Permanent Temporary Other Manually enter the employment type {% endblock %}
Manually enter the employment type


AIBE Results 2019: Bar Council of India declares results for All India Bar Examination (AIBE) @ allindiabarexamination.com
by JKR StaffAIBE Results 2019: The Bar Council of India has declared the results for the All India Bar Examination (AIBE) on its official website allindiabarexamination.com. The AIBE exam was conducted on 15 September, while the answer key was released a day later. The results for Allahabad and one each in Visakhapatnam, Bhopal and Jabalpur have been withheld after complaints were received.
Follow these steps to access your results
- Visit the official website, allindiabarexamination.com
- On the homepage, click on ‘result’ in the left panel
- You will be redirected to a new page
- Log-in using credentials
- Download and save your results for future references
About AIBE
The objective of The All India Bar Examination (AIBE) is to examine an advocate’s capability to practice the profession of law in India. The AIBE will assess skills at a basic level, and is intended to set a minimum benchmark for admission to the practice of law; it addresses a candidate’s analytical abilities and understanding basic knowledge of law. After passing the examination candidate will be awarded “Certificate of Practice” by the Bar Council of India. AIBE will be conducted in 40 cities all across India. Candidates will have 11 languages to choose for attempting the examination. Examination pattern will be multiple choice question and it will be open book exam. The notification bringing the All India Bar Examination into force was passed by the Legal Education Committee and the members of the Bar Council of India at duly constituted meetings on April 10, 2010 and April 30, 2010.


loading...
twenty two
take away cards to add to the combined score
if you make 22, you win. if you go above, you lose
Local Versus
Versus AI
Turn:
Score:
RESET


The unit called ConcatTime concatenates (appends) a succession of
input data sets at the single input node into a single output set. The
number to be concatenated is set in the user interface (parameter window).
The input data may be SampleSet, ComplexSampleSet, or other VectorType. The output type is the same as the input. The types of the successive input sets must be the same. If they are SampleSets or ComplexSampleSets, they must all have the same sampling rate. If any of these conditions is not satisfied, the unit fails. The output for SampleSet or ComplexSampleSet contains the sampling rate and data acquisition time taken from the first input data set. Although the method works for any VectorTypes, it does not make sense for Spectrum, ComplexSpectrum, and Histogram types. The output for VectorType inputs other than SampleSets or ComplexSampleSets is a plain VectorType with no parameters.


Find statistics about Dota 2 matches and players! Just fill in match or player ID and hit search. If you
don't know how to find match or player ID,
click on hint icon.
Match statistics
Search match statistics by match ID
Player statistics
Search player statistics by steam32 ID


BLCI User Interface¶
The way to interact with BLCI is through the ./bl
driver script within the
BLCI root directory. Pass no argument to see help and options.
Initialize the repo¶
Once you have a blci.yml
configuration file in the root directory of your
repo/project (i.e., $PROJECT_HOME
) with at least the required configuration
settings language
, You can initialize the repo as
follows:
./bl -i $PROJECT_HOME
BLCI initialization performs two actions:
- Builds and saves the code dependency graph file
blci.deps
- Fleshes out a minimal
blci.yml
configuration file to a point to where a repo is a valid BLCI repo leaving thedata_deps
,script
and any other user-specific setting to be completed by the user.
NOTE: The default action is to append and overwrite the minimal
configuration file a user creates. The filename of the original
configuration file will change to blci.yml.old
. To change the overrwrite
behavior use the -n [--nooverwrite]
flag.
Add the repo¶
To add a repo execute:
./bl -a $PROJECT_HOME
A BLCI add
action:
- Creates a remote Github repo and tracks it using Travis CI (if the repo is untracked).
- Build the Travis metadata.
- Add, commit, push and Travis build your repo.
TODO: Undo¶
./bl -u $PROJECT_HOME
Undo the previous ./bl -a
(add) action and restore the repo to it’s previous state.
Build¶
Force a build of your BLCI repo without making changes to your code or using ./bl -a
. Execute:
./bl -b $PROJECT_HOME
Force a build action without changing any code within the repo.
Clean¶
To clean up all BLCI metadata and configuration files use the clean operation. This action deletes files so use with care.
./bl -c $PROJECT_HOME


Weapons
Weapon's are used to increase a character's effectiveness in combat. Weapon descriptions include: Attack Ability, Damage Ability, Damage, and Range.
Attack Ability
What physical ability is relevant to the attack roll.
When making an attack roll, a character takes the result of 1d20 + The Modifier of the weapon's attack ability + any misc. modifiers. If the result exceeds the target Defense, the character gets to roll Damage against the target.
Damage Ability
What physical ability is relevant to the damage roll.
Damage
The Damage of a weapon is what is rolled on a successful hit. When a target is hit, they reduce their Energy by the amount of damage rolled + the Modifier of the Damage Ability.
Range
Some weapons have a Range, which is the distance that a weapon can effectively be aimed and fired at a target. There are four range categories: Short, Medium, Long, and Extreme.
Short range is any distance less than or equal to 50ft.
Medium range is any distance less than or equal to 100ft, and greater than 50ft.
Long range is any distance less than or equal to 200ft, and greater than 100ft.
Extreme range is any distance longer than 200ft.
A ranged weapon can be fired one category above its given Range, but attacks are made with Disadvantage.


a warehouse
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Leggetter Library
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a junkyard
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Parkhouse Way Fire Station
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the Hyson Museum
[4, 40]
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Varder Walk
[5, 40]
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the Pile Building
[6, 40]
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the Hellyer Building
[7, 40]
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the Cribb Building
[8, 40]
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Smallwood Plaza
[9, 40]
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Goodson Square
[0, 41]
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the Armastrong Monument
[1, 41]
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the Barber Building
[2, 41]
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Borthwick Alley
[3, 41]
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Hopes Row
[4, 41]
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St Columbanus's Church
[5, 41]
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wasteland
[6, 41]
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Mains Alley
[7, 41]
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the Troakes Museum
[8, 41]
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the Cother Museum
[9, 41]
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Bird Boulevard
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a carpark
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wasteland
[2, 42]
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Hazzard Walk
[3, 42]
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Deed Lane
[4, 42]
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wasteland
[5, 42]
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the Dennis Motel
[6, 42]
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Jervis Auto Repair
[7, 42]
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Club Burns
[8, 42]
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Caff Road School
[9, 42]
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Hardie Square
[0, 43]
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Garson Row
[1, 43]
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Polley Way
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the Pers Monument
[3, 43]
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Garland Library
[4, 43]
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Aloysius General Hospital
[5, 43]
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a carpark
[6, 43]
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McNamara Drive
[7, 43]
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Tailer Row
[8, 43]
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Hawtrey Alley
[9, 43]
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the Woodborne Building
[0, 44]
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the Dawney Building
[1, 44]
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wasteland
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Dobin Auto Repair
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Sankey Boulevard
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Holide Way
[5, 44]
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Eelms Avenue
[6, 44]
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the Goode Building
[7, 44]
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Howard Auto Repair
[8, 44]
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Ruggevale Walk Police Dept
[9, 44]
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Ellicott Place Railway Station
[0, 45]
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Hodgkinson Drive
[1, 45]
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Dalgliesh Cinema
[2, 45]
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Beale Library
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Matcham Square Railway Station
[4, 45]
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Vesey Cinema
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McCullough Avenue
[6, 45]
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a carpark
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the Crosswell Building
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Verrell Crescent
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Waller Auto Repair
[0, 46]
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Thirlby Walk
[1, 46]
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Randell Boulevard
[2, 46]
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a carpark
[3, 46]
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Wild Place
[4, 46]
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Griff Drive School
[5, 46]
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the Pitts Museum
[6, 46]
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a carpark
[7, 46]
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Mitchard Park
[8, 46]
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a junkyard
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the Sendall Monument
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Howord Way
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Percifull Plaza
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Bisshop Square
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the Dunning Motel
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a factory
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Cudworth Alley
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Harewood Library
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Harington Boulevard
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Much Boulevard
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St Daniel's Hospital
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Shattock Plaza School
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Scudamore Plaza Fire Station
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the Duncan Monument
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a carpark
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Kittle Alley School
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Boyer Boulevard Railway Station
[1, 49]
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Prideaux Street Fire Station
[2, 49]
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Wilshe Drive
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Comitty Alley
[4, 49]
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the Whyte Monument
[5, 49]
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the Challes Building
[6, 49]
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Collis Library
[7, 49]
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Lye Alley
[8, 49]
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the Russel Museum
[9, 49]
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About The Event
Synergy is North India's most prodigious and largest technical festival
organized under the aegis of International Organisation of Software
Developers- DTU.
Where
Delhi Technological University Bawana Road Shahbad Daulatpur Village Rohini Delhi -110042
When
8-10 February 2019
The Synergy Legacy
“For good ideas and true innovation, you need human interaction, conflict, argument, debate.”
Our goal is to provide a platform for developers to come together discuss ideas and create projects in an adjuvant environment. IOSD founding principle was to promote technological innovation among college students. To implement this we conduct events such as mock hackathons, discussion forums, monthly competitions, seminars and workshops all around the year to get students more in touch with the latest technological trends and to provide an industrial environment.We, at IOSD aim to make coding accessible to all and actively implement ways to integrate the female demographic; which as of now is extremely under - represented in the tech industry.We also envision a future where we can bring people from different cultures and different walks of life, together on a single platform, where they can contribute without the stigma of being under- represented. To effectuate our aspirations, we are pleased to announce that special preference shall be given to an all female participants team and they shall receive remarkable gifts if they manage to win the competition.
HackDTU 3.0
-
Date: Feb 9th-10th, 2019
-
Time : 3PM - 3PM (24 hour event)
-
Venue: SPS-13 and SPS-14 ,Delhi Technological University
RULES
- Selection will be done on the basis of the registration form submitted. All girl teams would be given a preference during selection.
- The decision of organizers is final for selecting the teams for the event.
All other Rules available on http://hackdtu.tech/
Tech Praxis/Android
-
Date: Feb 8th, 2019
-
Time : 11PM - 4PM
-
Venue: SPS-13 ,Delhi Technological University
RULES
- Selection will be done on the basis of the registration form submitted. All girl teams would be given a preference during selection.
- The decision of organizers is final for selecting the teams for the event.
- You must be at allotted location in DTU to work on a project for submission.
- You cannot steal another team's source code.
- You cannot discuss strategy, suggestions or tips with other teams.
- After every evaluation round, scores will be awarded to respective teams.
- The decision of judges is final for determining prizes and awards.
Web DEV
-
Date: Feb 8th, 2019
-
Time : 11AM - 4PM
-
Venue: SPS-13 ,Delhi Technological University
RULES
- The duration of the contest is 6 hours..It maybe subject to change under special circumstances.
- Maximum Team size: Two
- The decision of organizers is final for selecting the participants for the event.
- You cannot discuss strategy, suggestions or tips with other participants.
- The decision of judges is final for determining prizes and awards.
- Please comply with all instructions from the organizers.
- Cheating will not be tolerated in any form and the participants will be subject to immediate disqualification
Code Wars 3.0
-
Date: Feb 8th, 2019
-
Time : 11AM - 1PM
-
Venue: Convocation Hall ,Delhi Technological University
RULES
- The duration of the contest is 2 hours..It maybe subject to change under special circumstances.
- Maximum Team size: One
- The decision of organizers is final for selecting the participants for the event.
- You cannot discuss strategy, suggestions or tips with other participants.
- The decision of judges is final for determining prizes and awards.
- Please comply with all instructions from the organizers.
- Cheating will not be tolerated in any form and the participants will be subject to immediate disqualification
Dont Know Code
-
Date: Feb 9th, 2019
-
Time : 2PM - 4PM
-
Venue: SPS-14 ,Delhi Technological University
RULES
- The duration of the contest is 180 minutes.It maybe subject to change under special circumstances.
- Maximum Team size: Two
- The decision of organizers is final for selecting the participants for the event.
- You cannot discuss strategy, suggestions or tips with other participants.
- The decision of judges is final for determining prizes and awards.
- Please comply with all instructions from the organizers.
- Cheating will not be tolerated in any form and the participants will be subject to immediate disqualification
Algo Design
-
Date: Feb 9th, 2019
-
Time : 2PM - 5PM
-
Venue: SPS-13 ,Delhi Technological University
RULES
- The duration of the contest is 180 minutes..It maybe subject to change under special circumstances.
- Maximum Team size: One
- The decision of organizers is final for selecting the participants for the event.
- You cannot discuss strategy, suggestions or tips with other participants.
- The decision of judges is final for determining prizes and awards.
- Please comply with all instructions from the organizers.
- Cheating will not be tolerated in any form and the participants will be subject to immediate disqualification
Code in Less
-
Date: Feb 9th, 2019
-
Time : 11AM - 2PM
-
Venue: Delhi Technological University
RULES
- The duration of the contest is 180 minutes..It maybe subject to change under special circumstances.
- Maximum Team size: Two
- The decision of organizers is final for selecting the participants for the event.
- You cannot discuss strategy, suggestions or tips with other participants.
- The decision of judges is final for determining prizes and awards.
- Please comply with all instructions from the organizers.
- Cheating will not be tolerated in any form and the participants will be subject to immediate disqualification
Events
HackDTU 3.0
Tech Praxis
WebDev
Code Wars 3.0
Don't know Code
Algo Design
Code in Less
Event Schedule
What we have planned for You
Code Wars 3.0 begins
Web Dev begins
Tech Praxis begins
Code Wars 3.0 ends
Web Dev ends
Tech Praxis Ends
Code in Less begins
Don't know Code begins
Algo Design begins
Code in Less ends
HackDTU begins
Don't Know code ends
Algo Design ends
HackDTU ends
Prize Distribution
Gallery
Check our gallery from past events
F.A.Q
Judge a man by his Questions not Answers
-
How was Synergy 18?
SYNERGY 18 was successfully held at DTU Campus,New Delhi on 10-11th February in collaboration with Cisco, Digital Ocean, and many more. There was an overwhelming no. of applications for the hackathon, out of which about 426 developers were selected. SYNERGY 18 broke all the records set by other conventional hackathons.
-
How big can A team be?
The maximum team size depend upon event to event and lone wolves are also welcome.
-
Who can participate?
This is a student run fest and only college students are allowed to participate.
-
What is the selection criteria for teams?
Selection will be done on the basis of the registration form submitted by the team. All girl teams would be given a preference during selecion.
-
404 Question not found
Drop us a mail and we would be more than happy to answer your queries. Also feel free to write if you'd like to volunteer for the event!
Event Venue
Event venue location info
Delhi Technological University
All the Events will be held at the college
within SPS-13 and SPS-14
Contact Us
Address
IOSD DTUBawana Road Shahbad Daulatpur Village Rohini Delhi -110042


Prince Charles and Camilla begin New Zealand visit
by Ben McKayAuckland: The Prince of Wales and the Duchess of Cornwall will hit the ground running in Auckland on Monday on their week-long tour of New Zealand.
The royal couple were met by Governor-General Dame Patsy Reddy on Sunday afternoon, landing at Whenuapai air base after a visit to India.
Their first event of three dozen engagements is a wreath-laying ceremony at Mount Roskill War Memorial Park in Auckland's South, a memorial to the fallen of World War I.
They will then retire to the Wesley Community Centre for a cultural welcome, before heading their different ways in the afternoon, pursing causes of their personal interests.
Charles's focus on environmental issues, especially plastic waste, will take him to visit Critical Design, a social enterprise which creates jobs through waste reduction.
Camilla will meet with organisations dedicated to active ageing, as well as those supporting women who have suffered from domestic violence.
They will spend the afternoon at a sustainably-focused winery, Hunting Lodge, before returning to Whenuapai for military presentations.
There are only three opportunities for the public to engage with the Prince and Duchess this week; during public walks at Auckland's Viaduct Harbour on Tuesday, Christchurch's Cathedral Square on Friday and Kaikoura on Saturday.
The visit comes as Prince Andrew, Charles' brother, comes under fresh global scrutiny for his relationship with disgraced financier Jeffrey Epstein. Andrew participated in a BBC interview, seeking to rebut claims he had sex with an underaged, trafficked girl, that has been branded a public relations disaster.
AAP


Leo Margolis
Biograpie
- Born Montreal December 18, 1927
- Died Vancouver January 13, 1997
- B.Sc. McGill University 1948
- M.Sc. McGill University 1950
- Ph.D. McGill University 1952 with T.W.M. Cameron
- Pacific Biological Station, Nanaimo scientist 1952-1997
- Associate Editor Canadian Journal of Zoology 1971-1981
- Research- Parasitology of fishes and marine mammals and its application in fisheries management
SCZ
- Wardle lecturer 1982; Address "Pacific Salmon and their Parasites: a Century of Study"
- Chair Parasitology Section 1977-1978
- President 1990-1991
- Leo Margolis Scholarship named
Honneurs
- Fellow of the Royal Society 1975
- Officer of the Order of Canada 1990
- Honorary Member Atlantic Canada Society of Parasitologists 1992
- Honorary Member British Society of Parasitology 1994
- Gold Medal Professional Institute of the Public Service of Canada 1995
- Distinguished Service Award American Society of Parasitologists 1995
Références
- Bousefield, E.L. and G. C. Gibson. 1992 A History of the Canadian Society of Zoologists, 1971-1991: The Presidencies. CSZ Bull. 23(3): 34-59
- Arai, H. 1997. In Memoriam Leo Margolis (1927-97). CSZ Bull. 28(1): 6.


public interface Revisioned extends WorkflowBean
Revisions are expressed as a chain of Revision
s linking to the
Revision.getPreviousRevision()
s. The Revision metadata also may
include when and who did the revision.
| Modifier and Type | Method and Description |
|---|---|
Revision |
getCurrentRevision()
Get the current Revision metadata.
|
URI |
getIdentifier()
Returns the identifier of this bean.
|
Revision |
newRevision()
Make a new Revision to mark structural changes to this workflow bean.
|
Revision |
newRevision(URI revisionIdentifier)
Make a new Revision to mark structural changes to this workflow bean with
the given identifier.
|
void |
setCurrentRevision(Revision currentRevision)
Set the current Revision.
|
void |
setIdentifier(URI workflowIdentifier)
Set the identifier.
|
accept, clone
Revision getCurrentRevision()
The Revision
typically contains information about when it was
made, and links to the previous revision chain.
void setCurrentRevision(Revision currentRevision)
To preserve the existing revision chain, the new revision should point to
the current revision using Revision.setPreviousRevision(Revision)
currentRevision
- The Revision
to be setRevision newRevision()
The identifier of the new getCurrentRevision()
will also be
identifying the Revisioned workflow bean and be returned from
getIdentifier()
.
The new revision will include the previous Revision as
Revision.getPreviousRevision()
and
Revision.getGeneratedAtTime()
on the new revision will match the
current GregorianCalendar
by default.
getCurrentRevision()
, for setting any further
details.Revision newRevision(URI revisionIdentifier)
getIdentifier()
will match the new identifier. The new
getCurrentRevision()
will include the previous revision as
Revision.getPreviousRevision()
.
Note, unlike the convenience method newRevision()
this method
will not update Revision.getGeneratedAtTime()
.
revisionIdentifier
- The new workflow identifiergetCurrentRevision()
, for setting any further
details.void setIdentifier(URI workflowIdentifier)
This will delete any previous revisions in getCurrentRevision()
.
To avoid loosing history, you might instead want to use
newRevision(URI)
.
workflowIdentifier
- the identifiergetIdentifier()
,
getCurrentRevision()
URI getIdentifier()
This identifier matches the Revision.getIdentifier()
of
getCurrentRevision()
.
#setIdentifier(URI)}
Copyright © 2015–2016 The Apache Software Foundation. All rights reserved.


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Chapter 4 Component Contribution to Volatility
Let’s break total portfolio volatility into its constituent parts and investigate how each asset contributes to the volatility. Why might we want to do that?
For our own risk management purposes, we might want to ensure that our risk hasn’t got too concentrated in one asset. Not only might this lead a less diversified portfolio than we thought we had, but it also might indicate that our initial assumptions about a particular asset were wrong, or at least, they have become less right as the asset has changed over time.
Similarly, if this portfolio is governed by a mandate from, say, an institutional client, that client might have a preference or even a rule that no asset or sector can rise above a certain threshold risk contribution. That institutional client might require a report like this from each of their outsourced managers, so they can sum the constituents.
As in the previous section on volatility, we need to build the covariance matrix and calculate portfolio standard deviation.
covariance_matrix <- cov(asset_returns_xts)
sd_portfolio <- sqrt(t(w) %*% covariance_matrix %*% w)
Now let’s start to look at the individual components.
The percentage contribution of asset i is defined as: (marginal contribution of asset i * weight of asset i) / portfolio standard deviation
Let’s find the marginal contribution first by taking the cross product of the weights vector and the covariance matrix, divided by the portfolio standard deviation.
marginal_contribution <- w %*% covariance_matrix / sd_portfolio[1, 1]
marginal_contribution
## SPY EFA IJS EEM AGG
## [1,] 0.02465 0.02939 0.03005 0.03523 0.0009151
Now multiply the marginal contribution of each asset by the weights vector to get total contribution.
component_contribution <- marginal_contribution * w
component_contribution
## SPY EFA IJS EEM AGG
## [1,] 0.006162 0.007347 0.006011 0.007046 9.151e-05
We can then sum the asset contributions and make sure it’s equal to total portfolio standard deviation.
components_summed <- rowSums(component_contribution)
components_summed
## [1] 0.02666
sd_portfolio
## [,1]
## [1,] 0.02666
The summed components are equal to the total - all looks good.
To get to percentage contribution of each asset, we divide each asset’s contribution by total portfolio standard deviation.
component_percentages <- component_contribution / sd_portfolio[1, 1]
component_percentages
## SPY EFA IJS EEM AGG
## [1,] 0.2312 0.2756 0.2255 0.2643 0.003433
Let’s port this to a tibble for ease of presentation, and we’ll append by_hand
to the object because we did the calculations step-by-step.
percentage_tibble_by_hand <-
tibble(symbols, w, as.vector(component_percentages)) %>%
rename(asset = symbols,
'portfolio weight' = w,
'risk contribution' = `as.vector(component_percentages)`) %>%
mutate(`risk contribution` = round(`risk contribution`, 4) * 100)
percentage_tibble_by_hand
## # A tibble: 5 x 3
## asset `portfolio weight` `risk contribution`
## <chr> <dbl> <dbl>
## 1 SPY 0.250 23.1
## 2 EFA 0.250 27.6
## 3 IJS 0.200 22.6
## 4 EEM 0.200 26.4
## 5 AGG 0.100 0.340
Does anything strike us as out of whack here? Is AGG acting as the volatility dampener we had hoped? It sure looks like it - AGG is contributing less than 1% to the overall volatility.
As you might have guessed, we used by_hand
in the object name because we could have used a pre-built R function to do all this work.
The StdDev()
function from PerformanceAnalytics
will run this same component calculation if we pass in an asset returns object, weights vector and then set portfolio_method = "component"
(recall that if we set portfolio_method = "single"
, the function will return the total portfolio standard deviation, as we saw in a previous section).
Let’s confirm that the pre-built function returns the same results as our by-hand.
portfolio_vol_comp_contr_total_builtin <- StdDev(asset_returns_xts, weights = w,
portfolio_method = "component")
## Warning in (0.5 * as.vector(dpm2))/sqrt(pm2): Recycling array of length 1 in vector-array arithmetic is deprecated.
## Use c() or as.vector() instead.
## Warning in contrib/sqrt(pm2): Recycling array of length 1 in vector-array arithmetic is deprecated.
## Use c() or as.vector() instead.
portfolio_vol_comp_contr_total_builtin$contribution
## SPY EFA IJS EEM AGG
## 6.162e-03 7.347e-03 6.011e-03 7.046e-03 9.151e-05
That function returns a list and one of the elements is $pct_contrib_StdDev
, which is the percentage contribution of each asset. Let’s move it to a tibble
for ease of presentation.
# Port to a tibble.
percentages_tibble_pre_built <-
portfolio_vol_comp_contr_total_builtin$pct_contrib_StdDev %>%
tk_tbl(preserve_index = FALSE) %>%
mutate(asset = symbols) %>%
rename('risk contribution' = data) %>%
mutate(`risk contribution` = round(`risk contribution`, 4) * 100,
weights = w *100 ) %>%
select(asset, everything())
Has our work checked out? Is percentages_tibble_pre_built
showing the same result as component_percentages_tibble_by_hand
?
Compare the two objects
percentages_tibble_pre_built
## # A tibble: 5 x 3
## asset `risk contribution` weights
## <chr> <dbl> <dbl>
## 1 SPY 23.1 25.0
## 2 EFA 27.6 25.0
## 3 IJS 22.6 20.0
## 4 EEM 26.4 20.0
## 5 AGG 0.340 10.0
percentage_tibble_by_hand
## # A tibble: 5 x 3
## asset `portfolio weight` `risk contribution`
## <chr> <dbl> <dbl>
## 1 SPY 0.250 23.1
## 2 EFA 0.250 27.6
## 3 IJS 0.200 22.6
## 4 EEM 0.200 26.4
## 5 AGG 0.100 0.340
Huzzah - our findings seem to be consistent! Let’s do some visualizing.
Visualizing Component Contribution
Let’s head to ggplot
for some visualizing. We have not yet built a bar chart and now seems like a good time to start. We take our percentages_tibble_pre_built
and want to put the risk contribution of each asset on the y-axis. That means a call to ggplot(aes(x = asset, y = risk_contribution))
, after which we add the bar layer with geom_col(fill = 'cornflowerblue', colour = 'pink', width = .6)
.
percentages_tibble_pre_built %>%
mutate(risk_contribution = `risk contribution`/100) %>%
ggplot(aes(x = asset, y = risk_contribution)) +
geom_col(fill = 'cornflowerblue', colour = 'pink', width = .6) +
scale_y_continuous(labels = scales::percent, breaks = pretty_breaks(n = 20)) +
ggtitle("Percent Contribution to Volatility") +
theme(plot.title = element_text(hjust = 0.5)) +
xlab("Asset") +
ylab("Percent Contribution to Risk")
How about a chart that compares weights to risk contribution. First we’ll need to gather our tibble to long format by using gather(type, percent, -asset)
, then call ggplot(aes(x = asset, y = percent, fill = type))
and make sure the two columns are not right on top of each other with geom_col(position='dodge')
.
percentages_tibble_pre_built %>%
gather(type, percent, -asset) %>%
group_by(type) %>%
mutate(percent = percent/100) %>%
ggplot(aes(x = asset, y = percent, fill = type)) +
geom_col(position='dodge') +
scale_y_continuous(labels = percent) +
ggtitle("Percent Contribution to Volatility") +
theme(plot.title = element_text(hjust = 0.5))
It looks like AGG, a bond fund, has done a good job as a volatility dampener. It has a 10% allocation but contributes almost zero to volatility.


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Eloquent: Serialization
- Introduction
- Serializing Models & Collections
- Hiding Attributes From JSON
- Appending Values To JSON
- Date Serialization
Introduction
When building JSON APIs, you will often need to convert your models and relationships to arrays or JSON. Eloquent includes convenient methods for making these conversions, as well as controlling which attributes are included in your serializations.
Serializing Models & Collections
Serializing To Arrays
To convert a model and its loaded relationships to an array, you should use the toArray
method. This method is recursive, so all attributes and all relations (including the relations of relations) will be converted to arrays:
$user = App\User::with('roles')->first();
return $user->toArray();
You may also convert entire collections of models to arrays:
$users = App\User::all();
return $users->toArray();
Serializing To JSON
To convert a model to JSON, you should use the toJson
method. Like toArray
, the toJson
method is recursive, so all attributes and relations will be converted to JSON. You may also specify JSON encoding options supported by PHP:
$user = App\User::find(1);
return $user->toJson();
return $user->toJson(JSON_PRETTY_PRINT);
Alternatively, you may cast a model or collection to a string, which will automatically call the toJson
method on the model or collection:
$user = App\User::find(1);
return (string) $user;
Since models and collections are converted to JSON when cast to a string, you can return Eloquent objects directly from your application's routes or controllers:
Route::get('users', function () {
return App\User::all();
});
Relationships
When an Eloquent model is converted to JSON, its loaded relationships will automatically be included as attributes on the JSON object. Also, though Eloquent relationship methods are defined using "camel case", a relationship's JSON attribute will be "snake case".
Hiding Attributes From JSON
Sometimes you may wish to limit the attributes, such as passwords, that are included in your model's array or JSON representation. To do so, add a $hidden
property to your model:
<?php
namespace App;
use Illuminate\Database\Eloquent\Model;
class User extends Model
{
/**
* The attributes that should be hidden for arrays.
*
* @var array
*/
protected $hidden = ['password'];
}
{note} When hiding relationships, use the relationship's method name.
Alternatively, you may use the visible
property to define a white-list of attributes that should be included in your model's array and JSON representation. All other attributes will be hidden when the model is converted to an array or JSON:
<?php
namespace App;
use Illuminate\Database\Eloquent\Model;
class User extends Model
{
/**
* The attributes that should be visible in arrays.
*
* @var array
*/
protected $visible = ['first_name', 'last_name'];
}
Temporarily Modifying Attribute Visibility
If you would like to make some typically hidden attributes visible on a given model instance, you may use the makeVisible
method. The makeVisible
method returns the model instance for convenient method chaining:
return $user->makeVisible('attribute')->toArray();
Likewise, if you would like to make some typically visible attributes hidden on a given model instance, you may use the makeHidden
method.
return $user->makeHidden('attribute')->toArray();
Appending Values To JSON
Occasionally, when casting models to an array or JSON, you may wish to add attributes that do not have a corresponding column in your database. To do so, first define an accessor for the value:
<?php
namespace App;
use Illuminate\Database\Eloquent\Model;
class User extends Model
{
/**
* Get the administrator flag for the user.
*
* @return bool
*/
public function getIsAdminAttribute()
{
return $this->attributes['admin'] == 'yes';
}
}
After creating the accessor, add the attribute name to the appends
property on the model. Note that attribute names are typically referenced in "snake case", even though the accessor is defined using "camel case":
<?php
namespace App;
use Illuminate\Database\Eloquent\Model;
class User extends Model
{
/**
* The accessors to append to the model's array form.
*
* @var array
*/
protected $appends = ['is_admin'];
}
Once the attribute has been added to the appends
list, it will be included in both the model's array and JSON representations. Attributes in the appends
array will also respect the visible
and hidden
settings configured on the model.
Appending At Run Time
You may instruct a single model instance to append attributes using the append
method. Or, you may use the setAppends
method to override the entire array of appended properties for a given model instance:
return $user->append('is_admin')->toArray();
return $user->setAppends(['is_admin'])->toArray();
Date Serialization
Customizing The Date Format Per Attribute
You may customize the serialization format of individual Eloquent date attributes by specifying the date format in the cast declaration:
protected $casts = [
'birthday' => 'date:Y-m-d',
'joined_at' => 'datetime:Y-m-d H:00',
];
Global Customization Via Carbon
Laravel extends the Carbon date library in order to provide convenient customization of Carbon's JSON serialization format. To customize how all Carbon dates throughout your application are serialized, use the Carbon::serializeUsing
method. The serializeUsing
method accepts a Closure which returns a string representation of the date for JSON serialization:
<?php
namespace App\Providers;
use Illuminate\Support\Carbon;
use Illuminate\Support\ServiceProvider;
class AppServiceProvider extends ServiceProvider
{
/**
* Perform post-registration booting of services.
*
* @return void
*/
public function boot()
{
Carbon::serializeUsing(function ($carbon) {
return $carbon->format('U');
});
}
/**
* Register bindings in the container.
*
* @return void
*/
public function register()
{
//
}
}


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ProteinDataset
(dir_train_cells
, split_file
, img_size
=512
, transform
=None
, return_label
=True
, is_trainset
=True
, in_channels
=4
, crop_size
=0
, random_crop
=False
) :: Dataset
An abstract class representing a :class:Dataset
.
All datasets that represent a map from keys to data samples should subclass
it. All subclasses should overwrite :meth:__getitem__
, supporting fetching a
data sample for a given key. Subclasses could also optionally overwrite
:meth:__len__
, which is expected to return the size of the dataset by many
:class:~torch.utils.data.Sampler
implementations and the default options
of :class:~torch.utils.data.DataLoader
.
.. note::
:class:~torch.utils.data.DataLoader
by default constructs a index
sampler that yields integral indices. To make it work with a map-style
dataset with non-integral indices/keys, a custom sampler must be provided.


End a group by using the console.groupEnd() method.
Press F12 on your keyboard to view the message in the console view.


Positioning in HTML refers to the visually located placement of an element within a web page via the defining positioning method that has been specified. In non-technical terms, imagine a website that has a red square on it, the position of that red square could be in the center of the page, it could be at the top left, or the bottom right. The location of the image on the page is dependent on what definition has been used to position it there. By default, web elements will have a static position, which implies that it is rendered and placed in the order that it is located within the HTML (i.e. If the red square is after a title, and before a paragraph, that's where it will be located by default). In the example below, we see this in action with the red square in its default (static) location
There are three other definitions that I would like to look in to and explain here. Relative, Absolute, and Fixed.
Relative positioning, as stated in the name, defines the item as being positioned relative to its default position within the page. In the example we saw above, the staticly positioned red square existed at the very top left corner of the page. This is because it is the very first item that item that has been detected within the HTML to be displayed. If the position definition were to be changed to Relative, this allows us to add further definitions to move the red square around, with the default location now being a center point. The example below shows a relative definiton of 10 pixels to the left, and 100 pixels from the top of the default location.
Absolute positioning, defines the item as being positioned in direct comparison to the nearest ancestor element with either relative or absolute positioning. In laymen's terms, if the red square exists within in a window that has been positioned relative to its default location, using the absolute position definition will locate it around that window as a center point. This is because the window, based on its defition, is the nearest ancestor element that has been detected on the page that matches this criteria. The example here, shows that the red square has detected the nearest non static acestor element as being a container that contains other elements within it, so by using the same 10 pixel left and 100 pixel top definition from before, it positions it based on that containers definitions.
Fixed positioning, defines the item as being positioned in a fixed area inside the browser window. Unlike the previous two definitions, the fixed definition doesn't rely on any other elements within the HTML to decide its location, it refers to whatever the starting point of the web browser is for its center point. An easy way to wrap your head around this, would be to imagine that you're looking at an artwork, and you want to know what it looks like with a sticker without ruining it, so you place the sticker on the glass case that the artwork exists within. The example that we see here, shows the red square with the same definitions as before, only this time, the position stays the exact same no matter how big the browser window is.
All pictures in this blog post were taken from the W3Schools demo on the CSS position property, which you can check out here.


Cards¶
Card
¶
-
class
astropy.io.fits.
Card
(keyword=None, value=None, comment=None, **kwargs)[source] [edit on github]¶ Bases:
astropy.io.fits.verify._Verify
-
ascardimage
(*args, **kwargs)[source] [edit on github]¶ Deprecated since version 0.1: The ascardimage function is deprecated and may be removed in a future version. Use the
image
attribute instead.
-
cardimage
¶ Deprecated since version 0.1: The cardimage function is deprecated and may be removed in a future version. Use the
image
attribute instead.
-
comment
¶ Get the comment attribute from the card image if not already set.
-
classmethod
fromstring
(image)[source] [edit on github]¶ Construct a
Card
object from a (raw) string. It will pad the string if it is not the length of a card image (80 columns). If the card image is longer than 80 columns, assume it containsCONTINUE
card(s).
-
image
¶ The card “image”, that is, the 80 byte character string that represents this card in an actual FITS header.
-
is_blank
¶ True
if the card is completely blank–that is, it has no keyword, value, or comment. It appears in the header as 80 spaces.Returns
False
otherwise.
-
key
¶ Deprecated since version 0.1: The key function is deprecated and may be removed in a future version. Use the
keyword
attribute instead.
-
keyword
¶ Returns the keyword name parsed from the card image.
-
length
= 80¶ The length of a Card image; should always be 80 for valid FITS files.
-
classmethod
normalize_keyword
(keyword)[source] [edit on github]¶ classmethod
to convert a keyword value that may contain a field-specifier to uppercase. The effect is to raise the key to uppercase and leave the field specifier in its original case.Parameters: key : or str
A keyword value or a
keyword.field-specifier
value
-
rawkeyword
¶ On record-valued keyword cards this is the name of the standard <= 8 character FITS keyword that this RVKC is stored in. Otherwise it is the card’s normal keyword.
-
rawvalue
¶ On record-valued keyword cards this is the raw string value in the
<field-specifier>: <value>
format stored in the card in order to represent a RVKC. Otherwise it is the card’s normal value.
-
run_option
(option=u'warn', err_text=u'', fix_text=u'Fixed.', fix=None, fixable=True) [edit on github]¶ Execute the verification with selected option.
-
value
¶ The value associated with the keyword stored in this card.
-
verify
(option=u'warn') [edit on github]¶ Verify all values in the instance.
Parameters: option : str
Output verification option. Must be one of
"fix"
,"silentfix"
,"ignore"
,"warn"
, or"exception"
. May also be any combination of"fix"
or"silentfix"
with"+ignore"
,+warn
, or+exception" (e.g. ``"fix+warn"
). See Verification options for more info.
-
Deprecated Interfaces¶
The following classes and functions are deprecated as of the PyFITS 3.1 header refactoring, though they are currently still available for backwards-compatibility.
-
class
astropy.io.fits.
CardList
(cards=[], keylist=None)[source] [edit on github]¶ Bases:
list
Deprecated since version 0.1:
CardList
used to provide the list-like functionality for manipulating a header as a list of cards. This functionality is now subsumed into theHeader
class itself, so it is no longer necessary to create or useCardList
s.Construct the
CardList
object from a list ofCard
objects.CardList
is now merely a thin wrapper aroundHeader
to provide backwards compatibility for the old API. This should not be used for any new code.Parameters: cards
A list of
Card
objects.-
append
(*args, **kwargs)[source] [edit on github]¶ Deprecated since version 0.1: The append function is deprecated and may be removed in a future version. Use
Header.append()
instead.Append a
Card
to theCardList
.Parameters: card :
Card
objectThe
Card
to be appended.useblanks : bool, optional
Use any extra blank cards?
If
useblanks
isTrue
, and if there are blank cards directly beforeEND
, it will use this space first, instead of appending after these blank cards, so the total space will not increase. Whenuseblanks
isFalse
, the card will be appended at the end, even if there are blank cards in front ofEND
.bottom : bool, optional
-
copy
(*args, **kwargs)[source] [edit on github]¶ Deprecated since version 0.1: The copy function is deprecated and may be removed in a future version. Use
Header.copy()
instead.Make a (deep)copy of the
CardList
.
-
count
(*args, **kwargs)[source] [edit on github]¶ Deprecated since version 0.1: The count function is deprecated and may be removed in a future version. Use
Header.count()
instead.
-
count_blanks
(*args, **kwargs)[source] [edit on github]¶ Deprecated since version 0.1: The count_blanks function is deprecated and may be removed in a future version.
Returns how many blank cards are directly before the
END
card.
-
extend
(*args, **kwargs)[source] [edit on github]¶ Deprecated since version 0.1: The extend function is deprecated and may be removed in a future version. Use
Header.extend()
instead.
-
filter_list
(*args, **kwargs)[source] [edit on github]¶ Deprecated since version 0.1: The filter_list function is deprecated and may be removed in a future version. Use
header[<wildcard_pattern>]
instead.Construct a
CardList
that contains references to all of the cards in thisCardList
that match the input key value including any special filter keys (*
,?
, and...
).Parameters: key : str
key value to filter the list with
Returns: cardlist
A
CardList
object containing references to all the requested cards.
-
index
(*args, **kwargs)[source] [edit on github]¶ Deprecated since version 0.1: The index function is deprecated and may be removed in a future version. Use
Header.index()
instead.
-
index_of
(*args, **kwargs)[source] [edit on github]¶ Deprecated since version 0.1: The index_of function is deprecated and may be removed in a future version. Use
Header.index()
instead.Get the index of a keyword in the
CardList
.Parameters: key : str or int
The keyword name (a string) or the index (an integer).
backward : bool, optional
When
True
, search the index from theEND
, i.e., backward.Returns: index : int
The index of the
Card
with the given keyword.
-
insert
(*args, **kwargs)[source] [edit on github]¶ Deprecated since version 0.1: The insert function is deprecated and may be removed in a future version. Use
Header.insert()
instead.Insert a
Card
to theCardList
.Parameters: pos : int
The position (index, keyword name will not be allowed) to insert. The new card will be inserted before it.
card :
Card
objectThe card to be inserted.
useblanks : bool, optional
-
keys
(*args, **kwargs)[source] [edit on github]¶ Deprecated since version 0.1: The keys function is deprecated and may be removed in a future version. Use
Header.keys()
instead.Return a list of all keywords from the
CardList
.
-
pop
(*args, **kwargs)[source] [edit on github]¶ Deprecated since version 0.1: The pop function is deprecated and may be removed in a future version. Use
Header.pop()
instead.
-
remove
(*args, **kwargs)[source] [edit on github]¶ Deprecated since version 0.1: The remove function is deprecated and may be removed in a future version. Use
Header.remove()
instead.
-
values
(*args, **kwargs)[source] [edit on github]¶ Deprecated since version 0.1: The values function is deprecated and may be removed in a future version. Use
Header.values()
instead.Return a list of the values of all cards in the
CardList
.For
RecordValuedKeywordCard
objects, the value returned is the floating point value, exclusive of thefield_specifier
.
-
-
astropy.io.fits.
create_card
(*args, **kwargs)[source] [edit on github]¶ Deprecated since version 0.1: The create_card function is deprecated and may be removed in a future version. Use
Card.__init__
instead.
-
astropy.io.fits.
create_card_from_string
(*args, **kwargs)[source] [edit on github]¶ Deprecated since version 0.1: The create_card_from_string function is deprecated and may be removed in a future version. Use
Card.fromstring()
instead.Construct a
Card
object from a (raw) string. It will pad the string if it is not the length of a card image (80 columns). If the card image is longer than 80 columns, assume it containsCONTINUE
card(s).
-
astropy.io.fits.
upper_key
(*args, **kwargs)[source] [edit on github]¶ Deprecated since version 0.1: The upper_key function is deprecated and may be removed in a future version. Use
Card.normalize_keyword()
instead.classmethod
to convert a keyword value that may contain a field-specifier to uppercase. The effect is to raise the key to uppercase and leave the field specifier in its original case.Parameters: key : or str
A keyword value or a
keyword.field-specifier
value


--- layout: post title: Programming Language Survey Results post_id: 9 categories: - projects date: 2011-02-22 07:44:00.000000000 -07:00 author: Jamis permalink: 2011/2/22/programming-language-survey-results.html summary: > The results of a recent survey are presented and analyzed ---
A couple of weeks ago (already!) I asked two simple questions of my Twitter followers: what are (up to) four programming languages that you know and love, and what are (up to) four programming languages that you would like to learn?
Around the time I asked the question, I had almost 4200 followers on Twitter. Of those 4200, 38 responded. That’s almost one percent, and it is most definitely not a large enough sample from which to draw meaningful conclusions! Even if all 4200 of my twitter followers responded, it would still have been a strongly biased survey: most people following me on twitter are (or were) Ruby/Rails programmers, or found me through some other Ruby/Rails programmer. Asking this group what their favorite languages are is bound to have some strong biases.
And, sure enough, the top ten “know-and-love” languages among the 38 respondents were:
Compare that to the top ten “want-to-learn” languages:
Ruby didn’t even make that list! (It actually came in at #11.)
So, what I’m trying to say is, the data is strongly slanted toward the preferences of Rails programmers who enjoy Ruby as a programming language. Still, there are some interesting tidbits to find here. I am definitely not a statistician, but here are four points that emerged that I found enlightening:
Every respondent included at least one object-oriented language among their know-and-love’s. For most people, that was Ruby, but Java, Python, C++, Objective-C, and others were mentioned, too. 17 people mentioned two object-oriented languages, and 17 more mentioned three. Three people gave all four of their know-and-love languages as object-oriented languages. What do I take away from this? All we really know is that object-oriented languages are apparently widely taught/learned among my twitter followers. No surprise there!
Only 8 respondents indicated that they know-and-love a functional language. Six people gave only a single functional language among their four know-and-loves, one more gave two, and one more gave three. Is this because people don’t love functional languages? Definitely not. There is simply not enough data to draw any conclusions about why this number is smaller than OO languages, but it does make you wonder, doesn’t it? Are programmers with predominantly OO backgrounds intimidated by functional paradigms? As you’ll see in the next question, it’s definitely not a lack of interest!
The four functional languages that people gave as “know-and-love” are:
Now, compare that with the next point:
33 of the 38 respondents wanted to learn at least one functional language. That’s almost 87%, versus only 21% that already knew a functional language. There is some serious curiosity there; people know OO, but want to learn functional. And what functional languages are people curious about?
Erlang, far and away, is the one most people are curious about. Interesting!
The last point: 32 respondents included at least one object-oriented language in their want-to-learn list. 12 people wanted to learn one OO language, 16 wanted to learn two, and four people wanted to learn three OO languages. Which languages?
Curiouser and curiouser! I love that a predominantly Ruby-centric group wants Python and Objective-C above all others. ObjC actually makes sense to me, even aside from the popularity of iOS as a platform. ObjC has many similarities to Ruby, and is a great language for Rubyists. Python, though…I love that it’s tied for #1. It shows a certain open-mindedness in the Ruby community, which gives me warm fuzzies.
Anyway, I’ll say it again: there really wasn’t a large enough sample set to draw meaningful conclusions here. But it’s still fun to look at seeming patterns in the data. Hopefull you’ve found something useful here, too!


[Gaggle home | Firegoose home | contents]
Getting started
Here we quickly demonstrate some of the capabilities of the
Firegoose toolbar for Firefox by retrieving
data from three popular web sites - KEGG, STRING, and DAVID.
If you haven't installed the Firegoose, do so now. It's easy to install and uninstall.
This page contains data embedded in the Gaggle microformat.
For demonstration
purposes, a few genes were selected from a larger set of genes found in
microarray experiments to be upregulated in the presence of oxygen in
the organism Halobacterium sp. NRC-1. There are two
data elements, one list of gene names in the VNG nomenclature, and a second list of the same genes using
the GI naming system.
Aerobic genes (VNG gene names)
Genes found in microarray experiments to be activated under aerobic conditions.
[+] Show/hide
name=aerobic genes (VNG)
size=27
species=Halobacterium sp. NRC-1
- VNG0330G
- VNG0473G
- VNG0635G
- VNG0636G
- VNG0647G
- VNG0665G
- VNG0681G
- VNG1125G
- VNG1128G
- VNG1142G
- VNG1306G
- VNG1308G
- VNG1310G
- VNG1541G
- VNG1542G
- VNG1624G
- VNG1926G
- VNG2135G
- VNG2138G
- VNG2140G
- VNG2141G
- VNG2144G
- VNG2146H
- VNG2217G
- VNG2218G
- VNG2219G
- VNG2220G
Aerobic genes (GI numbers)
Genes found in microarray experiments to be activated under aerobic conditions.
[+] Show/hide
name=aerobic genes (GI)
size=27
species=Halobacterium sp. NRC-1
- 15789602
- 15789708
- 15789833
- 15789834
- 15789842
- 15789855
- 15789870
- 15790209
- 15790210
- 15790222
- 15790347
- 15790348
- 15790350
- 15790522
- 15790523
- 15790581
- 15790810
- 15790969
- 15790972
- 15790974
- 15790975
- 15790978
- 15790979
- 15791040
- 15791041
- 15791042
- 15791043
Broadcasting
Broadcasting data from Firegoose to a target web site or desktop application is a simple three step process. (1) Select the data to be
sent. (2) Select the target - where the message will be sent. (3) Click the “Broadcast” button.
KEGG
- Select “aerobic genes (VNG): Namelist(27)” in the Gaggle Data menu
- Select “KEGG Pathway” in the target menu
- Click “Broadcast”
Kegg should open in a new tab as shown above. Click on some of the pathways to view the diagrams. Notice that genes and
networks can be captured from KEGG and retrieved as Gaggle data types.
STRING
- Return to this tutorial page. The source document must be showing to perform a broadcast.
- Make sure “aerobic genes (VNG): Namelist(27)” is still selected in the Gaggle Data menu
- Select “EMBL STRING” in the target menu
- Click “Broadcast”
Wait for the script to fill in and submit the search form. There will be a pause while STRING searches its database then
a list of matching genes will appear. Click “Continue ->” to see STRING's interaction network.
At this point, one option would be to bring the STRING network into Cytoscape. To do this:
- Start Cytoscape with the CyGoose plugin.
This webstart will automatically start Cytoscape and then the Gaggle Boss.
- Make sure Firegoose is connected to the Boss. Press the multicolored Gaggle button at the left end of the Firegoose
toolbar. The status bar in the bottom right of the browser window should say “Firegoose: Connected”.
- With the STRING tab showing in Firefox, select the Gaggle Data item “Protein interactions from STRING XML”.
- Select the “Cytoscape” target.
- Click “Broadcast”
- Wait ~10 seconds while Firegoose accesses STRING's web service.
- A network should appear in the Cytoscape window. Select "Layout | yFiles | Organic" to display a nicely formatted network.
DAVID
- Return again to this tutorial page.
- This time we need GI numbers so select “aerobic genes (GI): Namelist(27)” in the Data menu
- Select “DAVID” in the target menu
- Click “Broadcast”
- When DAVID comes up in a new tab, find “Step 2: Select Identifier” in the left panel.
Select “GI_ACCESSION”.
- Click “Submit List”
- Try the various features of DAVID, including Functional Annotation Clustering.
validate


China frees Japanese academic as Tokyo prepares for Xi visit
TOKYO (Reuters) - A Japanese academic returned home on Friday after being released by China following several weeks in detention, a move expected to help pave the way for a state visit by Chinese President Xi Jinping to Japan next year.
The professor at Hokkaido University, who is in his forties but was not identified, is in good health, Chief Cabinet Secretary Yoshihide Suga told a news conference.
The professor was detained by Chinese authorities on suspicion of violating an unspecified Chinese law. Japanese media said he was believed to have been accused of espionage.
Chinese Foreign Ministry spokesman Geng Shuang confirmed in Beijing that the academic had been sent back home. He said he had been “educated and admonished” for being found with documents containing Chinese state secrets in his hotel room.
Geng did not elaborate on the nature of the state secrets.
Japanese Foreign Minister Toshimitsu Motegi declined to provide details on why the man had been detained, citing the sensitive nature of the issue, but said he and Prime Minister Shinzo Abe had been “firmly” asking for the man’s release.
“We’d like to welcome President Xi as a state guest next spring in a good atmosphere and have been taking care of issues one by one,” he said.
Japanese media has reported that 13 Japanese civilians have been detained in China on suspicion of engaging in spying activities since 2015.


Scheme Macros
A series of blog posts on implementing various control structures and language features as Scheme macros.
- Scheme Macros I: Modules
- Scheme Macros II: Generics
- Scheme Macros III: Defining let
- Scheme Macros IV: Deconstructing Classes
- Scheme Macros V: Conditionals
- Scheme Macros VI: Keyword Arguments
- Scheme Macros VII: Design by Contract
- Scheme Macros VIII: Green Threads
Lost? You can go back to my website or my blog.


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