---
layout: site
permalink: melbourne
location: Melbourne
dates: February 1-3, 2016
splashImage: https://farm1.staticflickr.com/681/22032155473_bca28567d4_z.jpg
map: sites/melbourne.geojson
regsteps:
- step: 1. Fill in the ResBaz Melbourne registration form (Apply Here)
- step: 2. To improve your chance of acceptance fill in our Global Research Survey
- step: 3. Wait for acceptance email and further instructions
- step: 4. Fill in the Eventbrite form to confirm your attendance and submit your poster profile (details will be in the acceptance email)
- step: 5. Come and enjoy ResBaz in 1-3 February 2016!
regschedule:
- date: 16 December
name: Applications close
- date: 19 December
name: Offers made
- date: 7 January
name: Registrations close
- date: 11 January
name: Posters due
- date: 21-22 January
name: Instructor training
- date: 1-3 February
name: ResBaz
accommodation1: For the 2016 ResBaz Conference there may be some free camping available under the Research Bazaar Bedouin tents on the lawn. You'll need to bring your own sleeping bag, pillow, towel, and earplugs (for the snorers!). Showers will be available in a nearby campus building. Let us know if you're interested in camping out at ResBaz 2016 when you fill in your registration form.
accommodation2:
If camping doesn't sound like your style, there are many alternative accommodation options close to the University of Melbourne. For more information see here.
menu: The Research Bazaar is a (free-of-charge) 3-day intensive conference where researchers come together to up-skill in ‘next generation digital research tools and skills’. Below are the tools on offer at the Melbourne event. The main streams run all day on Day 1 and Day 2. Electives run over three sessions (A, B and C) on Day 3. See our FAQ page for more info
trainers: Meet your team of ResBaz instructors here. If you're interested in helping out at future trainings please contact us.
classes:
- class: Main Streams
tools:
- name: MATLAB Data Analysis
id: mat
blurb: MATLAB is a powerful and versatile tool for data acquisition, analysis and visualisation. In this workshop, you’ll learn the basics of MATLAB for quick and effective data analysis. It covers all steps from reading in data, writing scripts and functions for basic analyses, and creating figures that can be shared and published.
- name: R Data Analysis
id: r
blurb: R is widely used across a range of disciplines for statistical computing and generating publication-quality figures. In this Software Carpentry workshop, you’ll learn the fundamentals of R for data science, Unix Shell for interacting with other programs, as well as version control and useful concepts for scientific computing such as breaking down problems into modular units, reproducibility, tracking changes to code, collaborating with others, and working with structured data.
- name: Python (via iPython) Data Analysis
id: py
blurb: Python is a powerful, general purpose programming language that has several popular scientific libraries that make it ideal for research. This workshop will equip you with the essential skills you need to use the Python programming language. It covers fundamentals as well as creating reusable functions, graphing with matplotlib and what to do to find and fix errors in your code.
- name: NLTK Natural Language Processing
id: nltk
blurb: Researchers are often confronted with natural language datasets so large that not even teams of researchers would be able to analyse by hand. (Even just reading through the 100 million word British National Corpus, for example, would take around 10,000 hours.) Python's Natural Language Toolkit (NLTK) provides a powerful means of investigating large bodies of text for patterns that may otherwise be very difficult to find. In this workshop, you’ll learn key concepts and practices in Corpus Linguistics/Distant Reading, investigate example datasets and strategies for implementing NLTK within your own research.
- name: AutoDesk 3D Printing
id: ad3d
blurb: Inventor 3D CAD software offers researchers an easy-to-use set of tools for 3D object design, documentation and product simulation. Digital prototyping with Inventor can help researchers design and validate physical concepts before they’re built. Turning ideas to reality with better research outcomes at reduced cost and lead-times. The training aims to teach basic principles in designing parts, assemblies, and drawings.
- name: 3D Slicer 3D Printing
id: 3ds
blurb: 3D Slicer (Slicer) is a free and open source software package for medical image analysis and scientific visualization. Slicer’s platform provides functionalities for segmentation, registration and three-dimensional visualization of multimodal image data, as well as advanced image analysis algorithms for diffusion tensor imaging, functional magnetic resonance imaging and image-guided radiation therapy. The training aims to teach basic principles in image processing, as well as techniques in extracting 3D models for bio-simulations and 3D printing.
- name: D3 Data Visualization
id: d3
blurb: D3 is a JavaScript library for working with data and displaying it online. D3 helps you bring data to life using HTML, SVG, and CSS. This workshop will introduce you to the basics of using D3 to create beautiful, animated and interactive graphics out of your data. (This workshop requires beginner level HTML and CSS skills, plus experience in at least one programming language)
- name: Data Acquistion and Cleaning
id: daq
blurb: This stream will talk about how to get data using survey tools such as Google Forms (a free, web based tool created by Google to do web survey) and mobile data collection tools using Kobo Toolbox (a free web based and mobile based tool to do mobile data collection). Following that, the stream will continue in using Open Refine (a free open source tool that can handle large amount of messy data) to clean up your messy data.
- class: Electives A
tools:
- name: Introduction to Version Control using GitHub
id: git
blurb: This lesson introduces version control through the popular code-hosting service Github. Participants will work on a simple collaborative project (creating a map) to get a feel for how Github and version control systems can help in these types of settings
- name: Psychopy 101
id: psych
blurb: Psychopy is a free software package written in the Python programming language for creating and running cognitive/psychophysics experiments. This introductory class is aimed at beginners and does not require any programming experience
- name: NeCTAR Research Cloud
id: nectar
blurb: "This elective will introduce you to Australia’s cloud dedicated to research. You’ll learn how to setup a virtual machine, access it, install tools, and share your compute and data resources with your collaborators"
- name: Introduction to TinkerCAD
id: tinker
blurb: "TinkerCAD is a free to use 3D modelling software that is based in the web browser. Thus means that it's not computer hardware intensive and is perfect for first time CAD users. Learn how to manipulate basic shapes and combine them to produce complex geometries and then export your model to 3D print! It's easy, fun, and allows you to get your bespoke ideas out there!"
- name: Online Exhibitions and Archives with Omeka
id: omeka
blurb: "Create online exhibitions and curate digital archives with Omeka. Omeka is a Swahili word meaning to display or to lay out for discussion, and Omeka helps you do exactly that. Display all kinds of digital media, with a program that bridges the university, library, and museum worlds with a set of commonly recognised metadata standards"
- name: The Perfect (Reference Manager) Match
id: refman
blurb: "During this session Julia Kuehns and Kathryn Lindsay (Research Liaison Librarians) will introduce you to potential perfect matches from the world of reference management suitors. They will provide an overview of some of the different software applications available, and then focus on two attractive contenders: Zotero, an open-source reference manager, and Mendeley, which includes a social network. During the session you will also gain hands-on experience using Zotero and Mendeley, and find out which tool may best suit your needs"
- class: Electives B
tools:
- name: Machine Learning with opencv and scikit-learn
id: ML
blurb: What if you could use artificial intelligence to classify data into groups with high accuracy? Come and see how machine learning can be used in research
- name: Introduction to Fusion 360
id: fusion
blurb: Autodesks Fusion 360 is a free (if you're in education) to use Computer Aided Design 3D modelling software that is easy to pick up, but also has the depth to perform more advanced CAD design. This workshop will concentrate on the Sculpt environment and how to create organic freeform design with minimal effort, interact with 3D data with mesh modelling and then export to a 3D printable file format
- name: Mapping for Researchers with CartoDB
id: carto
blurb: CartoDB is a simple mapping tool that allows researchers, journalists, students and mapping enthusiasts to quickly visualise large datasets. Getting started in CartoDB is as easy as dropping and dragging excel, csv and other common file types into CartoDB. It is also highly customisable with CartoCSS
- name: "Twitter: It's for Researchers too!"
id: twitter
blurb: Find out how you can maximise your network, profile and research skills using social media platforms such as Twitter. Whether you're a newbie or a Tweexpert, join this interactive workshop and you'll be Tweeting up a storm in no time at all
- name: What will you do with Watson?
id: watson
blurb: In this session, we will give an overview of the Watson services available in Bluemix. As a hands-on experience, we will have a deep dive session on one Watson service - Personality Insights - where we will demonstrate creation of a simple personality inference service using Twitter data
- class: Electives C
tools:
- name: Analysing Urban Data with AURIN
id: aurin
blurb: In Part One, we will introduce you to over 1900 Australian urban datasets accessible by urban researchers containing a wealth of information on health, socio-economics, demographics and the built environment in general. We will explore specialised analytical tools that pull together diverse sources of data and combine them to reveal patterns and solve problems and create more sustainable, healthier built environments
- name: LaTeX for Theses and Journal Articles
id: latex
blurb: LaTeX is a markup language focused on beautiful typesetting, and handles large, complicated documents that cause problems in standard word processors. This workshop will provide a gentle introduction to basic LaTeX usage, with a focus on theses and articles
- name: Introduction to 3D Printing
id: intro3d
blurb: This session will cover the fundamentals of 3D printing; in particular the filament deposition of plastics like ABS and PLA to create a 3 dimensional object. The step-by-step process of turning an .stl file into a 3D printed model will be discussed in the 3D printing facilities at the Engineering Workshop
- name: Visualising Networks with Gephi
id: gephi
blurb: Create and visualise networks with Gephi. Networks are everywhere, from friendship groups, to publishing circles. Networks can be created by monkeys moving between trees in the rainforest, or by a sudden hashtag that takes over twitter. Somehow everything is connected to everything else, and with Gephi you can visualise and analyse any network you like. Come along for an introduction to Gephi
- name: Interactive data visualisation in your blog (Plot.ly & TinyPress)
id: blog
blurb: We all want to share our research and thoughts. And blogging on the web is the easiest and best way to do that. So much so that interactively visualising data, on the web, is now possible without a single line of code. Here we will build from scratch an interactive blog all with free graphical on-line tools
- name: Tools for tracking research impact and attention
id: impact
blurb: Discover who is citing or talking about your research (or the research of others). This workshop will explore traditional and altmetrics for measuring the impact of your research and identifying attention received from social media sites, news outlets, and other sources. We’ll also explore using online author IDs to link your publications and to make your work more findable and identifiable
schedule: "Each day at ResBaz will be split into daytime and evening events. The day will be dedicated to classroom teaching time where we will fill your brains with the latest digital research skills. The evening will be about networking with your fellow cross-disciplinary researchers and having fun.
During the day classes are broken into three 90 minute sessions, starting at 9:30 am, 11:30 am and 2:00 pm.
"
days:
- day: Monday February 1
sessions:
- title: "8:00 - 8:45 Registration"
- title: 9am Key Story
- title: "9:30 STREAM SESSION 1"
- title: 11am Morning tea
- title: "11:30 STREAM SESSION 2"
- title: 1pm Lunch
- title: 2pm STREAM SESSION 3
- title: "3:30 Afternoon Tea"
- title: 4pm Fun Activities
- title: "6:30 Dinner"
- title: "7:30 Social Activities"
- day: Tuesday February 2
sessions:
- title: 9am Key Story
- title: "9:30 STREAM SESSION 4"
- title: 11am Morning tea
- title: "11:30 STREAM SESSION 5"
- title: 1pm Lunch
- title: 2pm STREAM SESSION 6
- title: "3:30 Afternoon Tea"
- title: 4pm Maker Space & Fun Activities
- title: "6:30 Dinner"
- title: "7:30 Nerd Nite"
- day: Wednesday February 3
sessions:
- title: 9am Key Story
- title: "9:30 ELECTIVES BLOCK A"
- title: 11am Morning tea
- title: "11:30 ELECTIVES BLOCK B"
- title: 1pm Lunch
- title: 2pm ELECTIVES BLOCK C
- title: "3:30 Afternoon Tea"
- title: 4pm Fun Activities
- title: "6:30 Dinner"
- title: "7:30 Social Activities"
speakers:
- name: Fiona Tweedie
img: img/fctweedie.jpg
blurb: Fiona is a Roman historian turned digital wizard for the humanities and social sciences.
- name: Ri Liu
img: img/riliu.jpg
blurb: Ri bridges the gap between design and science through her many data visualization projects.
- name: Tseen Khoo
img: img/tkhoo.jpg
blurb: Tseen is an expert in research education & development.
sponsors:
- name: 'Sponsor Number One'
img: fake-sponsor.png
- name: 'Sponsor Number Two'
img: fake-sponsor.png
- name: 'Sponsor Number Three'
img: fake-sponsor.png
---


| Path |
String |
The absolute path of a log file on a container's file system. The path
can be a directory or a file, and bash pathname expansion
(globbing) is supported. |
| Type |
String |
A string that identifies the "types" of logs that come from this source. This
will be |
| Filters |
Array of strings |
A list of filters to apply to the log file. The filters listed here must be
defined in the LogFilters object of the current service, or a parent service. |
| LogTags |
Array of objects |
A list of tags to send to logstash with all log file entries.
Each object has two members:
- Name (string)
- The name of the tag to send.
- Value (integer)
- The value of the tag to send.
|


Sidebar menu
Online Material Withdrawal System by Philsaga Mining Corporation
The functionality of the sidebar menu is actually the same of the menu icons. It gives you the ease to click and choose from menu icon or sidebar menu of whatever transaction you wanted to perform. The sidebar menu is expandle to be able to view a more meaningful label to a sidebar menu icon. Clicking will let you see the expanded or concise version of the sidebar menu icons.
1. |
- |
This is the easiest way to get back onto your default viewing. |
|
2. |
- |
This will take you on the PPE issuance listing. This is usually for reviewing purposes and for verification that a request transaction was really made. |
|
3. |
- |
There are some submenu on this maintenance main menu. Submenu belonging to this main menu are very much needed for it will define the data needed to process a transaction. |
|
3.1 |
- |
This is where to define a contractor and its details. |
|
3.2 |
- |
This is where to define a location and its details. |
|
3.3 |
- |
This is where to define a receiver and its details. |
|
3.4 |
- |
This is where to define an approver and its details. |
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3.5 |
- |
This is where to define cost code and its details. |
|
3.6 |
- |
This is where to define cut-off. |
|
3.7 |
- |
This is where to define a category. |
|
4. |
- |
This is where to define items. |
|
5. |
- |
This is where to view list of transactions made. It is also use to verify that a certain request transaction was made. |
|
6. |
- |
This is where the actual transaction is being done. |
|
7. |
- |
This is where to define a posting transactions. Posting means no more edit and all data and details coming from whatever transaction is final. |
|
7.1 |
- |
Batch posting transaction per transaction id. |
|
7.2 |
- |
Batch posting per document date. |
|
8 |
- |
There are still submenu under this report main menu. Kinds of reports available depends on the data needed for viewing. OMWS has 8 built-in reports available for you. |
|
81. |
- |
Report generation for list of requested issuances whether served or unserved. |
|
8.2 |
- |
Report generation for list of issued items. |
|
8.3 |
- |
Report generation for detailed information of a transaction. |
|
8.4 |
- |
Report generation for history of locations. |
|
8.5 |
- |
Report generation for history of contractors. |
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8.6 |
- |
Report generation for unposted transactions. |
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8.7 |
- |
Summary report generation per transaction number. |
Created with the Personal Edition of HelpNDoc: Easily create Help documents


Real-Time Logging and Analytics
View log items on a real-time dashboard that updates across all clients.
Create log items via the rest API.
If you can post json from your IOT device or website then Firework can log it.
Example json:
{ actor:"Fred", action:"ran", amount:4, units:"kms", date:"01/Jan/2015" }
Register for free and use the official hosted product at Firework.com
Starter plans are free and you will be able to migrate to a pro plan or self hosted solution at any time.
Prefer to host your own Firework instance?
Firework is Open Source, under the MIT Licence.
Get the source code from GitHub.


|
keigeki
1.0.0
傾撃
|
Go to the source code of this file.
Classes | |
| class | CDAsynchInitialiser |
| protocol | <CDLongAudioSourceDelegate> |
| class | CDLongAudioSource |
| class | CDAudioManager |
| class | CDLongAudioSourceFader |
| class | CDBufferManager |
Enumerations | |
| enum | tAudioManagerMode { kAMM_FxOnly, kAMM_FxPlusMusic, kAMM_FxPlusMusicIfNoOtherAudio, kAMM_MediaPlayback, kAMM_PlayAndRecord } |
| enum | tAudioManagerState { kAMStateUninitialised, kAMStateInitialising, kAMStateInitialised } |
| enum | tAudioManagerResignBehavior { kAMRBDoNothing, kAMRBStopPlay, kAMRBStop } |
| enum | tAudioSourceChannel { kASC_Left = 0, kASC_Right = 1 } |
| enum | tLongAudioSourceState { kLAS_Init, kLAS_Loaded, kLAS_Playing, kLAS_Paused, kLAS_Stopped } |
Variables | |
| NSString *const | kCDN_AudioManagerInitialised |
| enum tAudioManagerMode |
Different modes of the engine
| enum tAudioManagerState |
| enum tAudioSourceChannel |
CDAudioManager supports two long audio source channels called left and right
| NSString* const kCDN_AudioManagerInitialised |
Notifications


{% extends "minimal-layout.html" %} {% load crispy_forms_tags %} {% block content %}
You already have a username.
Authenticated as {% if social.org_name %}{{ social.org_name }}{% else %}{{ social.name }}{% endif %} user {{ social.username }}.


×
Some text in the Modal..
Please select a continent
Europe
North America
South America
Asia
Africa
Antartica
Oceania


cloud
tED
real time sentiment analysis
By all sentiments
Jon Laz
designer
call tEd
cloud
Sentiment snapshot
View the sentiments tED collected at the moment and for the selected range within the last day.


Customizing¶
- GUI
- AIS
- Examples
- Example: Adding a new pokemon category
- Example: Using custom texture and 3d models for your pets
- Example: Creating small pets
- Example: Increasing the pet storage by a premium storage
- Example: Selling pet buff effects to your players
- Example: Integrating PVE and buff effects
- Example: Hiding GUI items when the player does not have certain permissions
- Example: Always applying the wearing ai
- Worlds and Regions
- Minecraft-Heads.com
- Head Database


-
Loading ...
Show Help
Below is an html include <script type="text/html"> that should be inlined
<x-clock>


Posted on June 21, 2017
I found an awesome package called tidal-music-linux that wraps a Chromium web player in an Electron shell for a standalone Tidal player like on Windows. It’s written by Mathias Kahl.
It should work in either Ubuntu or Arch. A major drawback is that I haven’t gotten HiFi playback to work. It says HiFi is only allowed in Chrome. Maybe wrapping a Chrome player in Electron rather than a Chromium player would solve this. Regardless, here’s how to install if you’re okay with 320 kbps playback in a beautiful standalone application.
yaourt -S pepper-flash
usr/lib/adobe-flashplugin
mkdir /usr/lib/adobe-flashplugin
sudo mv ~/Downloads/flash_player_ppapi_linux.x86_64.tar.gz /usr/lib/adobe-flashplugin
sudo pacman -S npm
git clone https://github.com/Bunkerbewohner/tidal-music-linux
gedit tidal-music-linux/package.json
cd tidal-music-linux
npm install
npm start


Variant classification (ACMG/AMP)¶
All coding, non-ClinVar variants in the set of genes subject to screening have been classified according to a standard, five-level pathogenicity scheme (coined CPSR_CLASSIFICATION). The scheme has the same five levels as those employed by ClinVar, i.e.
pathogenic (P)
likely pathogenic (LP)
variant of uncertain significance (VUS)
likely benign (LB)
benign (B)
The classification performed by CPSR is rule-based, implementing most of the ACMG criteria related to variant effect and population frequency, which have been outlined in SherLoc (Nykamp et al., Genetics in Medicine, 2017), and also some in CharGer. Information on cancer predisposition genes (mode of inheritance, loss-of-funcion mechanism etc.) is largely harvested from Maxwell et al., Am J Hum Genet, 2016.
The refined ACMG/AMP criteria listed below form the basis for the tier assigned to the CPSR_CLASSIFICATION variable. Specifically, the score in parenthesis indicates how much each evidence item contributes to either of the two pathogenicity poles (positive values indicate pathogenic support, negative values indicate benign support). Evidence score along each pole (‘B’ and ‘P’) are aggregated, and if there is conflicting or little evidence it will be classified as a VUS. This classification scheme has been adopted by the one outlined in SherLoc.
ACMG_BA1_AD (-5) - Very high MAF (> 0.5% in gnomAD non-cancer pop subset) - min AN = 12,000 - Dominant mechanism of disease
ACMG_BS1_1_AD (-3)- High MAF (> 0.1% in gnomAD non-cancer pop subset) - min AN = 12,000 - Dominant mechanism of disease
ACMG_BS1_2_AD (-1) Somewhat high MAF (> 0.005% in gnomAD non-cancer pop subset) - Dominant mechanism of disease
ACMG_BA1_AR (-5) - Very high MAF (> 1% in gnomAD non-cancer pop subset) - min AN = 12,000 - Recessive mechanism of disease
ACMG_BS1_1_AR (-3)- High MAF (> 0.3% in gnomAD non-cancer pop subset) - min AN = 12,000 - Recessive mechanism of disease
ACMG_BS1_2_AR (-1)- Somewhat high MAF (> 0.005% in gnomAD non-cancer pop subset) - Recessive mechanism of disease
ACMG_BP3 (-2.5) - Non-coding variant in the UTR or promoter region
ACMG_BP7 (-2.5) - Silent and intronic changes outside of the consensus splice site
ACMG_BP4 (-1)- Multiple lines (>=5) of computational evidence support a benign effect on the gene or gene product (conservation, evolutionary, splicing impact, etc. - from dbNSFP
ACMG_BMC1 (0)- Peptide change is at the same location of a known benign change (ClinVar)
ACMG_BSC1 (-3)- Peptide change is reported as benign (ClinVar)
ACMG_BP1 (-0.5)- Missense variant in a gene for which primarily truncating variants (>90% of pathogenic variants) are known to cause disease (ClinVar)
ACMG_PM2_1 (0.5)- Allele count within pathogenic range (MAF <= 0.005% in the population-specific non-cancer gnomAD subset)
ACMG_PM2_2 (1)- Alternate allele absent in the population-specific non-cancer gnomAD subset
ACMG_PVS1_1 (5) - Null variant (frameshift/nonsense) - predicted as LoF by LOFTEE - within pathogenic range - LoF established for gene
ACMG_PVS1_2 (2.5)- Null variant (frameshift/nonsense) - not predicted as LoF by LOFTEE - within pathogenic range - LoF established for gene
ACMG_PVS1_3 (2) - Null variant (frameshift/nonsense) - predicted as LoF by LOFTEE - within pathogenic range - LoF not established for gene
ACMG_PVS1_4 (0) - Null variant (frameshift/nonsense) - not predicted as LoF by LOFTEE – within pathogenic range - LoF not established for gene
ACMG_PVS1_5 (2.5) - Start (initiator methionine) lost - within pathogenic range - Lof established for gene
ACMG_PVS1_6 (2) - Start (initiator methionine) lost - within pathogenic range - LoF not established for gene
ACMG_PVS1_7 (4) - Donor/acceptor variant - predicted as LoF by LOFTEE - within pathogenic range - not last intron - LoF established for gene
ACMG_PVS1_8 (2.5) - Donor/acceptor variant - last intron - within pathogenic range - LoF established for gene
ACMG_PVS1_9 (2)- Donor/acceptor variant - not last intron - within pathogenic range - LoF not established for gene
ACMG_PVS1_10 (2) - Donor variant at located at the +3, +4 or +5 position of the intron - within the pathogenic range
ACMG_PS1 (4) - Same amino acid change as a previously established pathogenic variant (ClinVar) regardless of nucleotide change
ACMG_PP2 (0.5) - Missense variant in a gene that has a relatively low rate of benign missense variation (<30%) and where missense variants are a common mechanism of disease (>50% P/LP (ClinVar))
ACMG_PM1 (2) - Missense variant in a somatic mutation hotspot as determined by cancerhotspots.org
ACMG_PM4 (0) - Protein length changes due to inframe indels or nonstop variant in non-repetitive regions of genes that harbor variants with a dominant mode of inheritance.
ACMG_PPC1 (0) - Protein length changes due to inframe indels or nonstop variant in non-repetitive regions of genes that harbor variants with a recessive mode of inheritance.
ACMG_PM5 (1.5) - Novel missense change at an amino acid residue where a different missense change determined to be pathogenic has been seen before (ClinVar)
ACMG_PP3 (0.5)- Multiple lines (>=5) of computational evidence support a deleterious effect on the gene or gene product (conservation, evolutionary, splicing impact, etc. - from dbNSFP
Currently, the CPSR_CLASSIFICATION is determined based on the following ranges of pathogenicity scores:


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China Is Going to the Moon, Coming Back With Moon Rocks
by Dan RobitzskiRequire More Minerals
China has a plan to gather Moon rocks and bring them back to Earth — all using robotic orbiters and rovers.
The mission, scheduled for late 2020, will be the first to return lunar samples since a Soviet Union mission in 1976, SpaceNews reports. If the ambitious plan succeeds, scientists will have access to another two kilograms of Moon rocks to study back here on Earth.
Moving Parts
The mission involves a robotic lunar orbiter serving as the launch and rendezvous point for a vehicle that will send the robotic rover down to the surface of the Moon, where it will gather up some rocks and fly back up before the trip back home.
As China works towards its plan to build a long-term base of operations on the Moon, this mission will help serve as a test run for its space robot tech, according to SpaceNews.
The mission depends on China finishing assembling and repairing several vehicles, including its Long March 5 rocket, so the schedule is still fairly tentative. But if it all comes together, the new samples could give scientists a much broader wealth of knowledge about our Moon.
READ MORE: China targets late 2020 for lunar sample return mission [SpaceNews]
More on lunar missions: China Releases New Pic of Weird Substance its Moon Rover Found


Gateway
BOT
02-Mar-19 03:36 PM
[dscrd-hush] <dukeleto> @Eddy O what are your motivations, other than to FUD?
[dscrd-hush] <dukeleto> BLOCK 500,000 (~42 days from now) will be the Hush snapshot, onto our new KMD asset chain. Any funds left in zaddrs will be locked onto the original Hush chain.
[dscrd-hush] <heguli97> Looks cool :), so am i understanding this correctly that after the fork Hush will become a kmd asset chain coin kind of like BTCH?
[dscrd-hush] <dukeleto> yes
[dscrd-hush] <dukeleto> I am making my upstream KMD instead of ZEC, because I like that much better
[dscrd-hush] <dukeleto> I disagree with a lot of things ZEC is doing
[dscrd-hush] <dukeleto> and also I want cryptoconditions for Hush, and many things that ZEC doesn't have
[dscrd-hush] <dukeleto> and also sapling
[dscrd-hush] <dukeleto> BTCH has sapling already, all KMD ac's got upgraded
[dscrd-hush] <Eddy O> I said one sentence in like a week. You really use "FUD" in your everyday vocabulary?
(edited)
[dscrd-hush] <dukeleto> @Eddy O yes, i do. It's a verb
[dscrd-hush] <dukeleto> every free software and open source person is very familiar with FUD
[dscrd-hush] <dukeleto> Fear, Uncertainty, Doubt
[dscrd-hush] <dukeleto> I appreciate constructive criticism, but FUD, I don't
[dscrd-hush] <Eddy O> Put up bounties if money is the issue is constructive, imo. You asked my motivations... Ive been here over a year and have tried to contribute. Throwing out a GitHub link can only take the project so far.
I think more important are your motivations. You're the only one in control and have been for over a year.
[dscrd-hush] <heguli97> That sounds very reasonable, switching from ZEC to KMD, KMD seems to be currently the better option of the two. And anything that KMD does in the future will now be ported over to Hush.
[dscrd-hush] <heguli97> I wonder if KMD will highlight us in a Tech Tuesday sometime too
[dscrd-hush] <dukeleto> @Eddy O you seem confused. I already work for free, maybe you should put up bounties. Yes, you have thrown at ideas for a long time, but I have never seen any action from you
[dscrd-hush] <dukeleto> @Eddy O my motivations are such that I care enough about Hush to not let it die of abandonment many months ago, and mostly I just hear from people like you that I don't do enough
[dscrd-hush] <dukeleto> News flash, you don't do anything constructive.
[dscrd-hush] <dukeleto> My TPS reports will not be filed in triplicate
[dscrd-hush] <Eddy O> Well, thanks for brightening my day.
[dscrd-hush] <dukeleto> also, my timesheets are not on file
[dscrd-hush] <Eddy O> All this attention. I'm not used to it.
[dscrd-hush] <dukeleto> also, I don't feel the need to update you on all the work I do behind the scenes, because, you don't pay me, nor does anybody else, to work on Hush. I do it because I want to see Hush succeed
[dscrd-hush] <Eddy O> You're getting bounties to work on other projects. It's not unreasonable that system is used for hush
[dscrd-hush] <dukeleto> " Throwing out a GitHub link can only take the project so far. " is just FUD, trying to belittle the VERY important fact of our github repo development tip changing
[dscrd-hush] <dukeleto> Those people have money to pay me, so I work for money
[dscrd-hush] <dukeleto> @Eddy O I never assumed such.  Ever since then, you seem to want to FUD on Hush. Just go find another coin to bother.
[dscrd-hush] <Eddy O> Try the gym, Duke. It's healthier for you.
[dscrd-hush] <dukeleto> I do appreciate the concern for my physical health.


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When an unknown printer took.
Make a type specimen book.
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This is a fork of http://jsfiddle.net/Ut2X6/10/ to include doTA/Incremental DOM/AngularJS, which in turn a fork of jashkenas's Ember/Backbone benchmark to include React. Note that this is just a simple benchmark: you wouldn't be doing this in an actual app.
Back to Examples Index


cf.RaggedIndexedArray¶
-
class
cf.
RaggedIndexedArray
(compressed_array=None, shape=None, size=None, ndim=None, index_variable=None, source=None, copy=True)[source]¶ Bases:
cf.data.array.mixin.raggedarraymixin.RaggedArrayMixin
,cf.data.array.mixin.arraymixin.ArrayMixin
,cf.mixin_container.Container
,cfdm.data.raggedindexedarray.RaggedIndexedArray
An underlying indexed ragged array.
A collection of features stored using an indexed ragged array combines all features along a single dimension (the “sample dimension”) such that the values of each feature in the collection are interleaved.
The information needed to uncompress the data is stored in an “index variable” that specifies the feature that each element of the sample dimension belongs to.
It is assumed that the compressed dimension is the left-most dimension in the compressed array.
See CF section 9 “Discrete Sampling Geometries”.
New in version 3.0.0.
Initialisation
- Parameters
- compressed_array: array_like
The compressed array.
- shape:
tuple
The shape of the uncompressed array.
- index_variable:
Index
The index variable required to uncompress the data, corresponding to a CF-netCDF index variable.
- source: optional
Convert source, which can be any type of object, to a
RaggedIndexedArray
instance.All other parameters, apart from copy, are ignored and their values are instead inferred from source by assuming that it has the
RaggedIndexedArray
API. Any parameters that can not be retrieved from source in this way are assumed to have their default value.Note that if
x
is also aRaggedIndexedArray
instance thencf.RaggedIndexedArray(source=x)
is equivalent tox.copy()
.New in version (cfdm): <IP_ADDRESS>
- copy:
bool
, optional If True (the default) then deep copy the input parameters prior to initialisation. By default the parameters are not deep copied.
New in version (cfdm): <IP_ADDRESS>
- size:
int
Deprecated at version <IP_ADDRESS>. Ignored if set.
Number of elements in the uncompressed array.
- ndim:
int
Deprecated at version <IP_ADDRESS>. Ignored if set.
The number of uncompressed array dimensions.
Methods
Mapping of compressed to uncompressed dimensions. |
|
The data as required by the decompression algorithm. |
|
Return a deep copy of the array. |
|
The calendar of the array. |
|
Return axes that are compressed in the underlying array. |
|
Returns the compressed dimension’s position in the array. |
|
Returns the array’s compression type. |
|
Return the count variable for the compressed array. |
|
|
|
Return the names of any files containing the compressed data. |
|
Return the index variable for the compressed array. |
|
Return the Subarray class. |
|
Return a subspace, defined by indices, of a numpy array. |
|
The units of the array. |
|
Return the underlying array object. |
|
Create the subarray shapes along each uncompressed dimension. |
|
Return descriptors for every subarray. |
|
Convert the data to a |
|
Bring data on disk into memory. |
Attributes
Returns a numpy array containing the uncompressed data. |
|
Returns an independent numpy array with the compressed data. |
|
Data-type of the uncompressed data. |
|
Number of array dimensions. |
|
Shape of the uncompressed data. |
|
Number of elements in the array. |
|
The |


Neil Lennon makes Celtic fan call as he begs supporters not to ruin reputation
The Hoops boss insists offensive banners don't help anyone and asked fans to continue upholding their good reputation.
by Scott McDermott, https://www.dailyrecord.co.uk/authors/scott-mcdermott/Neil Lennon says Celtic fans’ offensive banners aren’t helping the club’s reputation in Europe.
The Hoops were charged by UEFA for the third time this season following the Europa League win over Lazio last month.
That was for a banner unfurled by the Green Brigade which read ‘F*** off Lazio’ in Italian and another that resembled an emblem used by a left-wing terrorist organisation.
Celtic were also carpeted for illicit chanting and will find out their punishment on November 21. But gaffer Lennon is worried Celtic’s reputation on the continent will be tarnished if it continues.
Ahead of the return game in Rome on Thursday, with Hoops fans urged not to wear club colours in the Italian capital, Lennon said: “In the main, we’ve got a great reputation for travelling in Europe and I want that to continue.
“We want the fans to go and enjoy the experience and be careful.
“I don’t think there’s any animosity between the two clubs. It’s something separate from football and we want to quell that as quickly as possible before we go there.
“We should be trying to make friends while we’re in Italy, rather than create animosity.
“I’m not going to criticise our fans because in the main, they’re good – but the banners don’t help. I can’t speak on behalf of the people with the banners but it doesn’t do the club any good.”
Italian fans have a bad reputation for racist behaviour and Lennon says he’ll go on the advice of UEFA and club officials on what to do if Celtic’s players are abused on Thursday.
He said: “There are protocols in place. Whether I need to speak to the players, I’ll take a gauge off our club officials on that.
“There’s a meeting on the morning of the game with the referees, fourth official and UEFA delegates so we’ll get a steer from that.
“Then, if I need to speak to the players, I will.”
Celtic first fell foul of UEFA in August when the club was fined £11,000 after fans set off flares and threw objects during their 4-1 win over AIK in Stockholm.
When more pyrotechnics were set off before their Group E opener win over Cluj, UEFA hit the Hoops with a £10,400 fine.


Australian boxer Dwight Ritchie dies while sparring with Michael Zerafa
by Australian Associated Press- Ritchie took a body hit, collapsed and couldn’t be revived
- ‘Today we lost a champion both in and out of the ring’
The Australian boxing fraternity is mourning the loss of local fighter Dwight Ritchie, who died in a freak training accident in Melbourne.
The 27-year-old Victorian collapsed on Saturday after a sparring session with Michael Zerafa, who is preparing for his rematch with Jeff Horn after winning the Battle of Bendigo.
News Corp broke the news and reported Ritchie took a body shot, walked back to his corner, collapsed and could not be revived.
Ritchie was previously an Australian middleweight champion and hit the headlines when he fought Tim Tszyu in August, losing only for the second time in a 21-fight career.
“Today we lost a champion both in and out of the ring with the tragic passing of Dwight Ritchie. As a group we are all shattered, our thoughts and prayers go out to the Ritchie family as we all take a moment to remember a great warrior and champion. Gone too soon,” posted Tszyu on Facebook.
Ritchie’s promoter Jake Ellis also took to social media to offer his condolences.
“As Dwight’s promoter and friend it’s unbearable to accept the tragic news that’s just surfaced,” Ellis tweeted. “Dwight will always be remembered by the boxing fraternity as one of the brightest talents in Australia whose fighting style embodied exactly how he lived. RIP Cowboy you’ll be forever missed.”
It will be a difficult time for Zerafa, who shot to fame with his victory over Horn. Whether his rematch in December goes ahead remains to be seen.


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on the other hand this should be only available for specific conditions as it used relative pathway method
| Company | Country |
|---|---|
| Unify | Chinese |
| Coles | Australia |
| Pesi | U.S |
| Maraha choice | India |
| Island Trading | UK |
Known the interface of a virtual mechine and icons


Enter the URL to the site you want to import:
You can also use the dedicated importer for {{#importers}} {{^last}}{{title}}, {{/last}} {{#last}}or {{title}}.{{/last}} {{/importers}}


welcome to my web here you can now more about me
welcome all my name is ahmad nofal i am 23 years old
i graduate as a mechanical engineer
i have not work in my mojor at all , but I trained in a company
as
a mechanical engineer for a period of two months
and now i want to take a new step ...


Before Change
// Invert f transformation if this was requested
if f_transform:
this_tensor[7] = 0.5 * (1 + np.sin(this_tensor[7] - np.pi/2))
// The parameters are the evals and the evecs:
evals, evecs = decompose_tensor(from_lower_triangular(this_tensor[:6]))
After Change
// If leastsq failed to converge and produced nans, we"ll resort to the
// WLS solution in this voxel:
except np.linalg.LinAlgError:
evals, evecs = decompose_tensor(
from_lower_triangular(start_params[:6]))
// Process water volume fraction f
if f_transform:
f = 0.5 * (1 + np.sin(f - np.pi/2))


Boxing fan Boris Johnson prepares for TV debate with sparring session
The Prime Minister will be hoping to knock out Jeremy Corbyn when the pair go head-to-head on ITV later on Tuesday.
Boris Johnson tried his hand at boxing as he visited a gym in Manchester, revealing he “loves” the sport.
The Prime Minister entered the ring with the head coach of Jimmy Egan’s Boxing Academy in Wythenshawe to practice his punches.
He will be hoping to politically knock out Labour leader Jeremy Corbyn during a head-to-head debate on ITV later on Tuesday.
Mr Johnson, who removed his suit jacket and rolled up his sleeves for the occasion, donned a navy blue pair of “Get Brexit Done” gloves in the ring.
He said he should not be “aggressive” and instead said it was “more therapeutic boxing” as he joked about punching photographers on the side.
Mr Johnson left the ring as two more serious boxers entered, saying he would “quit while he’s ahead”.
Steve Egan, the boxing coach who sparred with the Prime Minister in the ring, told PA news agency Mr Johnson was “strong” but a “bit rusty”.
“He felt strong, punch-wise. He’s built for it, isn’t he? He’s stocky.”
Asked how he thought Mr Johnson would perform in the ring against Mr Corbyn, he said: “I’d put me money on (Mr Johnson) because I think everyone wants to see Corbyn get knocked out.
“He’d definitely win by a KO (knockout) – first round KO.”


Guild Member Tor:
Nice to meet you, brother! Is there anything I can help you with?
Discontinue mission
Continue mission


Do you need to try omp4j
before installation? No problem! Simply insert your code to the left area
and click translate button. The preprocessed code will appear in the right area. That's it!
Have fun!
Please note that the online code transformation is employed as a demo only and isn't meant as a public cloud. The computation time is limited and only one file is supported. Also public classes are forbidden.
omp4j
is an open-source project that generates no profit. We host this webpage
at heroku using their free plan. Therefore only
limited computation power is provided. We kindly ask you to use the demo for basic examples only.
Please don't forget that other uses may want to try it as well. For common usage and complicated
source code or multiple-file support, you may simply download
the preprocessor and use it locally as you wish. Thank you for your courtesy.
By clicking the translate button you declare that you have the permission to use and share the source code
that will be preprocessed. Additionally, you agree to give all copyright of the code.
Furthermore, you agree that the code may be stored, used or sold by the author of omp4j
- Petr Bělohlávek.
Of course, using omp4j
locally is 100% private and all copyrights remain yours. We just
don't want huge corporations to use this demo instead of regular free installation.


1.0.2
Return the most repeated element on the array.
(Array)
number
:
mode
(any)
(any)
Create a new base random forest for a classifier or regression model.
(object)
| Name | Description |
|---|---|
options.maxFeatures (number | String)?
|
the number of features used on each estimator. if is an integer it selects maxFeatures elements over the sample features. if is a float between (0, 1), it takes the percentage of features. |
options.replacement boolean?
|
use replacement over the sample features. |
options.seed number?
|
seed for feature and samples selection, must be a 32-bit integer. |
options.nEstimators number?
|
number of estimator to use. |
options.treeOptions object?
|
options for the tree classifier, see [ ml-cart ] https://mljs.github.io/decision-tree-cart/ |
options.isClassifier boolean?
|
boolean to check if is a classifier or regression model (used by subclasses). |
options.useSampleBagging boolean?
|
use bagging over training samples. |
(object)
for load purposes.
Train the decision tree with the given training set and labels.
Method that returns the way the algorithm generates the predictions, for example, in classification you can return the mode of all predictions retrieved by the trees, or in case of regression you can use the mean or the median.
(Array)
predictions of the estimators.
number
:
prediction.
Extends RandomForestBase
(any)
(any)
Load a Decision tree classifier with the given model.
(object)
RandomForestClassifier
:
Create a new base random forest for a classifier or regression model.
(object)
| Name | Description |
|---|---|
options.maxFeatures number
(default 1.0 )
|
the number of features used on each estimator. if is an integer it selects maxFeatures elements over the sample features. if is a float between (0, 1), it takes the percentage of features. |
options.replacement boolean
(default true )
|
use replacement over the sample features. |
options.seed number
(default 42 )
|
seed for feature and samples selection, must be a 32-bit integer. |
options.nEstimators number
(default 10 )
|
number of estimator to use. |
options.treeOptions object
(default {} )
|
options for the tree classifier, see [ ml-cart ] https://mljs.github.io/decision-tree-cart/ |
options.useSampleBagging boolean
(default false )
|
use bagging over training samples. |
(object)
for load purposes.
Extends RandomForestBase
(any)
(any)
Load a Decision tree classifier with the given model.
(object)
RandomForestRegression
:
Create a new base random forest for a classifier or regression model.
(object)
| Name | Description |
|---|---|
options.maxFeatures number
(default 1.0 )
|
the number of features used on each estimator. if is an integer it selects maxFeatures elements over the sample features. if is a float between (0, 1), it takes the percentage of features. |
options.replacement boolean
(default true )
|
use replacement over the sample features. |
options.seed number
(default 42 )
|
seed for feature and samples selection, must be a 32-bit integer. |
options.nEstimators number
(default 10 )
|
number of estimator to use. |
options.treeOptions object
(default {} )
|
options for the tree classifier, see [ ml-cart ] https://mljs.github.io/decision-tree-cart/ |
options.selectionMethod string
(default "mean" )
|
the way to calculate the prediction from estimators, "mean" and "median" are supported. |
options.useSampleBagging boolean
(default false )
|
use bagging over training samples. |
(object)
for load purposes.


Mike Williams
-
Feels Like Yesterday (feat. Robin Valo)
[by:spac3d-0ut] We used to set sail In the morning when the sky was blue Just living for the thrill And when times got r... -
Trouble (Mike Williams Remix)
[by:hondoes] I know you love her, love her But deep down under the covers, covers Does she know that I am the other, oth... -
Lullaby
[by:hondoes] 作曲 : Mike Willemsen/Fadil El Ghoul/Ferruccio Tebaldi/Aleksandr Dukhov/Maria Jane Smith/Victor Thell/Sean B... -
I'm Not Sorry
I ****** up Had a real good time And I’m not sorry I’m not sorry You judge But you're next in line And I’m not sorry I’... -
Wait Another Day
[by:hondoes] 作曲 : Stefan van Leijsen/Sasha Rangas/Mike Willemsen/Melle Stomp 作词 : Stefan van Leijsen/Sasha Rangas/Mike... -
Wait For You
作曲 : Mike Willemsen/Moa Hammar/Maia Wright/Tobias Reinerstam 作词 : Mike Willemsen/Moa Hammar/Maia Wright/Tobias Reiners... -
Day Or Night
[by:Trap_Girl] 作曲 : E. Koopman/F. van der Heide/G. Hulst/J. Sjoers/M. Williams 作词 : E. Koopman/F. van der Heide/G. Hul... -
Give It Up
[by:hondoes] I give you no reason You felt this from the start It feels like you don't know me well enough Like I break ... -
Feel Good
[by:文斯莫克-山治] [ti:] [ar:] [al:] [by:九九Lrc歌词网～www.99Lrc.net] 作曲 : Andrew Bullimore/Nick Gale/Felix Jaehn/Mike Willemsen ... -
Feel The Love (Mike Williams Remix)
[by:NickyRomero] I'm rolling down the river My worries down They say that I'm a sinner But I won't let you down Long nig... -
The Right Song (Mike Williams Remix)
[by:九九Lrc歌词网～www.99Lrc.net] [ti:The Right Song (Mike Williams Remix)] [ar:Tiesto Oliver Heldens=406096688] Feel it in my... -
Kylie
[by:Trap_Girl] Kylie give me just a chance Let's go out and dance We can get into the groove I can watch you move Later ... -
Feel Right
[by:小陀螺Tony] Don't know if you want me We can chance if it's feeling right I'll love you if you love me We can take it t... -
Another Night
[by:小陀螺Tony] It's been so long Since I have seen your face I'm a thousand miles away, from you And It's a sad song I've ... -
Hunter (Mike Williams Remix)
[by:hondoes] I am the hunter I am the hunter We've been on this road To a place that, one day, we'll know Adventure to ... -
Wait Another Day (Extended Mix)
[by:小陀螺Tony] Just wait another day I'll be back before you know It's a waste of time But we'll be fine Just picture me, ... -
You & I
[by:WildestMars] You held me like your heartbeat Each word like a snowflake I yearn for the distance to slowly fade a...  Why you always tryna hide all that ...    -
We Want Your Soul (Mike Williams Remix）
[by:小陀螺Tony] 作曲 : Stefan Engblom/Olof Cornéer/Carl Lehmann/Felix Persson/Johanna Berglund 作词 : Olof Cornéer/Stefan Eng... -
Take Me Down (Extended Mix)
[by:NickyRomero] Stop your breathing Swim in the dark And feeling break our walls Cause if we lost, we lost together The...


I am a passionate software engineer, always up for learning and building new things. My main experiences lie in web development, application development (C#, WPF/WCF), data warehousing and business intelligence. I have also experience with cloud systems (OpenStack) and Hadoop.
I like to work often on personal projects, which I use to explore new languages and technologies, some of the work I do can be found on my github profile. I have a stack overflow profile which I use mostly to answer javascript related questions.
My main fields of interest are: distributed systems, full stack web development, AI and machine learning.
An emulator for the original gameboy, developed using Rust. In progress.
https://github.com/Sosdoc/jeebieAn interpreter for a Lisp-like language, supports lambda functions and closures. Developed in Rust.
https://github.com/Sosdoc/rustlA solver for picross (aka nonogram) puzzles. Written in Go, also ported to Python.
https://github.com/Sosdoc/gongram


--- title: isEven without modulo author: Jonathan Carroll date: '2020-03-09' slug: iseven-without-modulo categories: - R tags: - rstats type: '' subtitle: '' image: '' ---
You may have seen the memes going around about fun ways to program the
straightforward function isEven()
which returns TRUE
if the input is even,
and FALSE
otherwise. I had a play with this and it turned into enough for a
blog post, and a nice walk through some features of R.
You may have seen the memes going around about fun ways to program the
straightforward function isEven()
which returns TRUE
if the input is even,
and FALSE
otherwise. I had a play with this and it turned into enough for a
blog post, and a nice walk through some features of R.
The ‘traditional’ way to check if an integer is even is to check if it is
divisible by 2. This can be achieved with the modulo operator %%
which
gives the remainder after dividing by another number. For example, 5 modulo 2
or 5 %% 2
gives 1 because 2 goes into 5 twice with 1 leftover. If a number x
is
even, it is an exact multiple of 2, and so x %% 2 == 0
.
5 %% 2
## [1] 1
6 %% 2
## [1] 0
A function which tests values of x
for this property could be written as
## 1
isEven <- function(x) {
## traditional modulo check
x %% 2 == 0
}
The ==
operation checks that the left side is equal to the right side (but not
necessarily identical, e.g. the classes can be different) and returns either TRUE
or FALSE
(or NA
, but that’s not an issue for the cases we’re looking at here).
I’ve also relied on the fact that the result of the last statement in a function
body is used as the return value if no explicit return()
is used.
Confirming that this works is as easy as trying some values. It’s always good to check that your function produces results you expect. It’s also a good idea to try some odd values to ensure you don’t hit edge-cases.
isEven(0)
## [1] TRUE
isEven(3)
## [1] FALSE
isEven(4)
## [1] TRUE
isEven(-1)
## [1] FALSE
isEven(-6)
## [1] TRUE
In the process of playing with this function I refined how I tested my code. I started with a set of confirming evaluations like above. Then I wanted to confirm that they actually gave the results I expect, so I refined it to
test_isEven <- function() {
all(
isEven(0) == TRUE,
isEven(3) == FALSE,
isEven(4) == TRUE,
isEven(-1) == FALSE,
isEven(-6) == TRUE
)
}
Now I just had one function to call which confirmed that all these tests gave
the expected results. Once I had explained this layout to myself with the word
‘expected’, I realised what I actually wanted was a test suite, and testthat
is a great candidate for that. Refactoring the above into a series of expectations
might look like
library(testthat)
test_isEven <- function() {
test_that("isEven peforms as expected", {
expect_true(isEven(0))
expect_false(isEven(3))
expect_true(isEven(4))
expect_false(isEven(-1))
expect_true(isEven(-6))
})
}
Now I can test any implementation of isEven()
with just one function call, and if
one of the expectations fails I’ll know which it is. Running this with the above
isEven()
produces no output, so the tests succeeded
test_isEven()
The ‘no output’ might be concerning, so we can also run a negative control to make
sure it breaks when things are broken. Let’s break the isEven()
by reversing the
test
## 1a
isEven <- function(x) {
## (broken) traditional modulo check
x %% 2 == 1
}
test_isEven()
## Error: Test failed: 'isEven peforms as expected'
## * <text>:4: isEven(0) isn't true.
## * <text>:5: isEven(3) isn't false.
## * <text>:6: isEven(4) isn't true.
## * <text>:7: isEven(-1) isn't false.
## * <text>:8: isEven(-6) isn't true.
So, we can trust that if we make a mistake or don’t implement this properly, we’ll know. Typically a function you write would have a lot more safety checking, such as ensuring that we actually passed a value, and that it’s an integer, but for the sake of this post I’m going to assume that these are both guaranteed to be true.
This version of isEven()
is simple and it works, but that’s not what the internet
wants - a common challenge is to make a version of isEven()
which doesn’t use
modulo. Now we need to think a little more, but we can at least check any
implementation with our tests.
I came up with a few, both from borrowing from other solutions and on my own. Let’s see…
If the last digit is any of 0, 2, 4, 6, or 8, then it’s an even number
## 2
isEven <- function(x) {
## ends with an even digit
grepl("[02468]$", x)
}
test_isEven()
With that same idea, if the least significant bit (binary) is unset then it’s even
## 3
isEven <- function(x) {
## least significant bit is unset
x == 0 || !bitwAnd(x, 1)
}
test_isEven()
Continuing down the bitwise path, if we can shift left and right and get back to the original number, then it’s even
## 4
isEven <- function(x) {
## bitwise shift right then left
!(x-(bitwShiftL(bitwShiftR(x, 1), 1)))
}
test_isEven()
If we alternate FALSE
and TRUE
counting from 0 to x
then we get our answer
## 5
isEven <- function(x) {
## alternate TRUE/FALSE
y <- FALSE
for (i in 0:x) {
y <- !y
}
return(y)
}
test_isEven()
We could do the same thing with recursion
## 6
isEven <- function(x) {
## recursion, n-1 is odd if n is even
if (x == 0) return(TRUE)
!isEven(abs(x) - 1)
}
test_isEven()
Not quite using modulo, integer division by 2, doubled, should return the original value
## 7
isEven <- function(x) {
## integer division, doubled
2*(x %/% 2) == x
}
test_isEven()
Similarly, the result of regular division cast to integer, doubled, should return the original value
## 7a
isEven <- function(x) {
## normal division, doubled
2*as.integer(x/2) == x
}
test_isEven()
If we start from a number and count towards 0 by twos then we will hit 0 if the number is even
## 8
isEven <- function(x) {
## moving by 2s towards 0 ends at 0
y <- x
repeat({
if (y == 0) return(TRUE)
if (sign(x) != sign(y)) return(FALSE)
y <- y - sign(x)*2
})
}
test_isEven()
We can write that a bit simpler if we only use the absolute value of x
## 8a (abs version)
isEven <- function(x) {
## moving by 2s towards 0 ends at 0
y <- abs(x)
repeat({
if (y == 0) return(TRUE)
if (y < 0) return(FALSE)
y <- y - 2
})
}
test_isEven()
Exploiting mathematical properties, we know that -1 to any even power returns 1
## 9
isEven <- function(x) {
## -1 to an even power is 1
(-1)**x == 1
}
test_isEven()
The relationship \[\cos(2x) = -\cos(x)\] can also be exploited
## 10
isEven <- function(x) {
## cos(2x) == -cos(x)
cos(x*pi) == -cos(pi)
}
test_isEven()
Now for some more R-specific solutions… R rounds towards even integers, and we can exploit that
## 11
isEven <- function(x) {
## R rounds even real numbers down
round(x + 0.5) == x
}
test_isEven()
We can create a vector of ‘every other integer’ and check whether a value is in there
## 12
isEven <- function(x) {
## is x in set of 'every other integer'?
abs(x) %in% (0:abs(x))[c(TRUE, FALSE)]
}
test_isEven()
Creating a vector of TRUE
and FALSE
we can extract the element corresponding to
a value
## 13
isEven <- function(x) {
## even/odd sequence
if (x == 0) return(TRUE)
rep(c(FALSE, TRUE), (abs(x)/2) + 1)[abs(x)]
}
test_isEven()
Then, starting to get really absurd, we could solve the equation \[2n = x\] which
will have an integer n
if x
is even
## 14
isEven <- function(x) {
## integer solution to 2n = x?
n <- solve(2, x)
as.integer(n) == n
}
test_isEven()
And, lastly, for the truly absurd, we can use the fact that “zero” and “eight” are the only single digits written as English words with an “e”. This requires a couple of extra packages, but can be done.
## 15
isEven <- function(x) {
## zero and eight are the only odd
## last digit as words with an e
last <- english::words(as.integer(stringr::str_sub(x, -1, -1)))
last == "zero" || last == "eight" || !grepl("e", last)
}
test_isEven()
This isn’t an exhaustive list, but it seemed like a good place to stop looking. If you can think of more then add them to this thread on Twitter.
I hope this demonstrates the usefulness of writing functions and testing them with
testthat
. Plus, if the %%
operator ever breaks, you have plenty of alternatives.
devtools::session_info()
## ─ Session info ───────────────────────────────────────────────────────────────
## setting value
## version R version 3.6.2 (2019-12-12)
## os Pop!_OS 19.04
## system x86_64, linux-gnu
## ui X11
## language en_AU:en
## collate en_AU.UTF-8
## ctype en_AU.UTF-8
## tz Australia/Adelaide
## date 2020-03-09
##
## ─ Packages ───────────────────────────────────────────────────────────────────
## package * version date lib source
## assertthat 0.2.1 2019-03-21 [1] CRAN (R 3.6.2)
## backports 1.1.5 2019-10-02 [1] CRAN (R 3.6.2)
## blogdown 0.18 2020-03-04 [1] CRAN (R 3.6.2)
## bookdown 0.17 2020-01-11 [1] CRAN (R 3.6.2)
## callr 3.4.2 2020-02-12 [1] CRAN (R 3.6.2)
## cli 2.0.1 2020-01-08 [1] CRAN (R 3.6.2)
## crayon 1.3.4 2017-09-16 [1] CRAN (R 3.6.2)
## desc 1.2.0 2018-05-01 [1] CRAN (R 3.6.2)
## devtools 2.2.2 2020-02-17 [1] CRAN (R 3.6.2)
## digest 0.6.24 2020-02-12 [1] CRAN (R 3.6.2)
## ellipsis 0.3.0 2019-09-20 [1] CRAN (R 3.6.2)
## english 1.2-5 2020-01-26 [1] CRAN (R 3.6.2)
## evaluate 0.14 2019-05-28 [1] CRAN (R 3.6.2)
## fansi 0.4.1 2020-01-08 [1] CRAN (R 3.6.2)
## fs 1.3.1 2019-05-06 [1] CRAN (R 3.6.2)
## glue 1.3.1 2019-03-12 [1] CRAN (R 3.6.2)
## htmltools 0.4.0 2019-10-04 [1] CRAN (R 3.6.2)
## knitr 1.28 2020-02-06 [1] CRAN (R 3.6.2)
## magrittr 1.5 2014-11-22 [1] CRAN (R 3.6.2)
## memoise 1.1.0 2017-04-21 [1] CRAN (R 3.6.2)
## pkgbuild 1.0.6 2019-10-09 [1] CRAN (R 3.6.2)
## pkgload 1.0.2 2018-10-29 [1] CRAN (R 3.6.2)
## prettyunits 1.1.1 2020-01-24 [1] CRAN (R 3.6.2)
## processx 3.4.2 2020-02-09 [1] CRAN (R 3.6.2)
## ps 1.3.2 2020-02-13 [1] CRAN (R 3.6.2)
## R6 2.4.1 2019-11-12 [1] CRAN (R 3.6.2)
## Rcpp 1.0.3 2019-11-08 [1] CRAN (R 3.6.2)
## remotes 2.1.1 2020-02-15 [1] CRAN (R 3.6.2)
## rlang 0.4.5 2020-03-01 [1] CRAN (R 3.6.2)
## rmarkdown 2.1 2020-01-20 [1] CRAN (R 3.6.2)
## rprojroot 1.3-2 2018-01-03 [1] CRAN (R 3.6.2)
## sessioninfo 1.1.1 2018-11-05 [1] CRAN (R 3.6.2)
## stringi 1.4.5 2020-01-11 [1] CRAN (R 3.6.2)
## stringr 1.4.0 2019-02-10 [1] CRAN (R 3.6.2)
## testthat * 2.3.1 2019-12-01 [1] CRAN (R 3.6.2)
## usethis 1.5.1 2019-07-04 [1] CRAN (R 3.6.2)
## withr 2.1.2 2018-03-15 [1] CRAN (R 3.6.2)
## xfun 0.12 2020-01-13 [1] CRAN (R 3.6.2)
## yaml 2.2.1 2020-02-01 [1] CRAN (R 3.6.2)
##
## [1] /home/jono/R/x86_64-pc-linux-gnu-library/3.6
## [2] /usr/local/lib/R/site-library
## [3] /usr/lib/R/site-library
## [4] /usr/lib/R/library


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About Team Noname
TeamNoname is a team forming platform which aims to facilitate students' grouping procedure for projects.
No matter you are a student or a teacher, TeamNoname could help you in managing your team or your students' team.
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Description
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Lecture L1
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Most annoying TV celebrities
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worms
itching nal region
craving for junk n chocolates
2/11/17: sneezing, swelling face. Fever since night. Yday mong had custard apple. Cold. Thick.rt side nose block. Hunger and thirst normal.
Rx:
Ars alb 200
Hep sulph 200
Bell acon gels 200 – 4 pills 2 hourly.


Quick action items.
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public class WinPcapSendQueue extends JStruct
pcap_send_queue
structure. A queue of
raw packets that will be sent to the network with
WinPcap.sendqueueTransmit()
. The class peers with native C
pcap_send_queue structure and allows direct control. The structure can be
allocated using WinPcap.sendQueueAlloc method or can be directly instantiated
using one o the public constructors.
JMemory.Type
| ���������� | �ֶκ�˵�� |
|---|---|
private JBuffer
|
buffer
The buffer.
|
static int |
DEFAULT_QUEUE_SIZE
Constant used to determine the default queue size which is 64Kb
(1024 *
64).
|
static java.lang.String |
STRUCT_NAME
The Constant STRUCT_NAME.
|
JNETPCAP_LIBRARY_NAME,
MAX_DIRECT_MEMORY_DEFAULT,
POINTER
| ��������˵�� |
|---|
WinPcapSendQueue()
Allocates default size buffer for use as a send queue.
|
WinPcapSendQueue(byte[] data)
Creates a sendqueue by allocating a buffer to hold the supplied
data.
|
WinPcapSendQueue(java.nio.ByteBuffer buffer)
The queue uses the supplied byte buffer which holds the buffers contents.
|
WinPcapSendQueue(int size)
Allocates specific queue
size . |
| ���������� | ������˵�� |
|---|---|
JBuffer |
getBuffer()
Gets the buffer containing the packets to be sent.
|
int |
getLen()
Gets the current size of the queue, in bytes.
|
int |
getMaxLen()
Gets the maximum size of the the queue, in bytes.
|
int |
incLen(int delta)
Inc len.
|
int |
queue(PcapHeader header,
byte[] data)
Add a packet to a send queue.
|
int |
queue(PcapHeader header,
java.nio.ByteBuffer data)
Add a packet to a send queue.
|
int |
queue(PcapHeader header,
JBuffer data)
Add a packet to a send queue.
|
int |
queue(PcapPktHdr hdr,
byte[] data)
�ѹ�ʱ��
replaced with new versions of the same method
|
int |
queue(PcapPktHdr hdr,
java.nio.ByteBuffer data)
�ѹ�ʱ��
replaced with new versions of the same method
|
private void |
setBuffer(JBuffer buffer)
Sets the buffer.
|
void |
setLen(int len)
Sets the peered
pcap_send_queue.len field which
specifies the
urrent size of the queue, in bytes.
|
void |
setMaxLen(int len)
Sets the max len.
|
static int |
sizeof()
Returns sizeof struct pcap_send_queue.
|
getStructName,
toString
availableDirectMemory,
check, cleanup, createReference,
isInitialized,
isJMemoryBasedOwner,
isOwner, maxDirectMemory,
peer,
peer,
peer,
reservedDirectMemory,
setSize, size, softDirectMemory,
toDebugString,
toHexdump, toHexdump,
totalActiveAllocated,
totalAllocateCalls,
totalAllocated,
totalAllocatedSegments0To255Bytes,
totalAllocatedSegments256OrAbove,
totalDeAllocateCalls,
totalDeAllocated,
transferFrom,
transferFrom,
transferFrom,
transferFrom,
transferFromDirect,
transferOwnership,
transferTo,
transferTo,
transferTo,
transferTo,
transferTo,
transferTo,
transferTo,
transferTo0
public static final int DEFAULT_QUEUE_SIZE
public static final java.lang.String STRUCT_NAME
private final JBuffer buffer
public WinPcapSendQueue()
public WinPcapSendQueue(byte[] data)
data
- data to be copied into the queuepublic WinPcapSendQueue(java.nio.ByteBuffer buffer) throws PeeringException
The queue uses the supplied byte buffer which holds the buffers contents. The buffer must a direct buffer, array based buffers will be rejected and an exception thrown. The properties of the buffer are used as follows. The start of the buffer is always with index 0, and end of queue content at current buffer's limit property (comparible to pcap_send_queue.len). The capacity property (comparible to pcap_send_queue.maxlen) determines maximum amount of data that can be further stored in the buffer.
Note that changing properties of the buffer after creating this queue object, will have immediate effect up on the queue. You do not have to use the queue's provided methods to change the limit property. This should allow of external addition of the
buffer
- a direct buffer containing the data to be sendPeeringException
- the
peering exception
public WinPcapSendQueue(int size)
size
.size
- size of the queue in bytespublic static int sizeof()
public JBuffer getBuffer()
public int getLen()
public int getMaxLen()
public int incLen(int delta)
delta
- the deltapublic int queue(PcapHeader header, byte[] data)
hdr
points to a
PcapPktHdr structure with the timestamp and the length of the packet, data
points to a buffer with the data of the packet. The PcapPktHdr structure is
the same used by WinPcap and libpcap to store the packets in a file,
therefore sending a capture file is straightforward. 'Raw packet' means
that the sending application will have to include the protocol headers,
since every packet is sent to the network 'as is'. The CRC of the packets
needs not to be calculated, because it will be transparently added by the
network interface.
header
- all fields need to be initialized as they are all used
data
- Buffer containing packet data. The buffer's position and
limit
properties determine the area of the buffer to be copied into the
queue. The length of the data must much what is in the header.
Also the queue has to be large enough to hold all of the data, or
an exception will be thrown.
public int queue(PcapHeader header, java.nio.ByteBuffer data)
hdr
points to a
PcapPktHdr structure with the timestamp and the length of the packet, data
points to a buffer with the data of the packet. The PcapPktHdr structure is
the same used by WinPcap and libpcap to store the packets in a file,
therefore sending a capture file is straightforward. 'Raw packet' means
that the sending application will have to include the protocol headers,
since every packet is sent to the network 'as is'. The CRC of the packets
needs not to be calculated, because it will be transparently added by the
network interface.
header
- all fields need to be initialized as they are all used
data
- Buffer containing packet data. The buffer's position and
limit
properties determine the area of the buffer to be copied into the
queue. The length of the data must much what is in the header.
Also the queue has to be large enough to hold all of the data, or
an exception will be thrown.
public int queue(PcapHeader header, JBuffer data)
hdr
points to a
PcapPktHdr structure with the timestamp and the length of the packet, data
points to a buffer with the data of the packet. The PcapPktHdr structure is
the same used by WinPcap and libpcap to store the packets in a file,
therefore sending a capture file is straightforward. 'Raw packet' means
that the sending application will have to include the protocol headers,
since every packet is sent to the network 'as is'. The CRC of the packets
needs not to be calculated, because it will be transparently added by the
network interface.
header
- all fields need to be initialized as they are all used
data
- Buffer containing packet data. The buffer's position and
limit
properties determine the area of the buffer to be copied into the
queue. The length of the data must much what is in the header.
Also the queue has to be large enough to hold all of the data, or
an exception will be thrown.
@Deprecated public int queue(PcapPktHdr hdr, byte[] data)
hdr
points to a
PcapPktHdr structure with the timestamp and the length of the packet, data
points to a buffer with the data of the packet. The PcapPktHdr structure is
the same used by WinPcap and libpcap to store the packets in a file,
therefore sending a capture file is straightforward. 'Raw packet' means
that the sending application will have to include the protocol headers,
since every packet is sent to the network 'as is'. The CRC of the packets
needs not to be calculated, because it will be transparently added by the
network interface.
hdr
- all fields need to be initialized as they are all useddata
- Buffer containing packet data. The length of the data must
much
what is in the header. Also the queue has to be large enough to
hold all of the data, or an exception will be thrown.
@Deprecated public int queue(PcapPktHdr hdr, java.nio.ByteBuffer data)
hdr
points to a
PcapPktHdr structure with the timestamp and the length of the packet, data
points to a buffer with the data of the packet. The PcapPktHdr structure is
the same used by WinPcap and libpcap to store the packets in a file,
therefore sending a capture file is straightforward. 'Raw packet' means
that the sending application will have to include the protocol headers,
since every packet is sent to the network 'as is'. The CRC of the packets
needs not to be calculated, because it will be transparently added by the
network interface.
hdr
- all fields need to be initialized as they are all useddata
- Buffer containing packet data. The buffer's position and
limit
properties determine the area of the buffer to be copied into the
queue. The length of the data must much what is in the header.
Also the queue has to be large enough to hold all of the data, or
an exception will be thrown.
private void setBuffer(JBuffer buffer)
buffer
- the new bufferpublic void setLen(int len)
pcap_send_queue.len
field which
specifies the
urrent size of the queue, in bytes.
len
- current size of the queue, in bytespublic void setMaxLen(int len)
len
- the new max len


Sai Pranav
Hey! I'm Sai Pranav from Tamilnadu, Chennai, India.. Currently studying . I Like Python ❤❤
~ Sai Pranav
Here Are Some Of My Works
Resources I Use


Yesterday I tried out a batch of mephedrone (4-methylmethcathinone) for the first time. The powder has a consistency of flaky crystals that are very light. The powder is of pure white colour and without odor. The taste is very bitter and chemical. I have seen a batch of a friend of mine that was very smelly and was off white to yellowish. Doses of 200 mg were measured on a precision scale.
13.00 I split the first 200 mg package in four lines of 50 mg and insufflated a line. The burning sensation in my nose was very severe.
13.10 I definitely feel some amphetamine-like effects but very subtle and without any physical signs. There was a tingling sensation as I get with all stimulants.
13.30 I insufflate another 50 mg line. This time the burning sensation is even worse and my eyes start to get watery. I will not insufflate this ever again.
13.50 Feeling quite good but strange. There is definitely amphetamine like effects but there is also something else Ė a heavy head and mild euphoria. My heart rate by this time was 100 bpm. As the effects were not very strong I decided to take another 100 mg dissolved in orange juice.
14.20 Definitely feeling high, there is quite a lot of euphoria but there are no empathogenic effects from this chemical. For me the feeling would be best described as the coming down from MDMA, when I still feel good but am not loved up. Music sounded really good and I was happy to listen to anything without vocals. My heart beat rate was 120 bpm.
15.00 I had a feeling that I still didnít have a breakthrough with this chemical and decided to take another 100 mg in OJ.
15.30 By this time I felt quite euphoric but very empty. I didnít have any sexual desire as I do with amphetamines and MD(M)A. My heart rate was 120 Ė 130 bpm. My pupils were normal (I think). I am deciding if I should take another 100 mg but decide not to as I didnít get the effects that I like. I smoke a joint and feel much better.
16.30 The peak is slowly getting over and I start to see some strange visuals. I start to see things appearing in the corner of my eye but when I look at them they disappear. This happens to me when I am on a lot of amphetamines.
17.30 The effects are mostly gone but I still have a full head and a strange feeling. The comedown isnít really problematic and there is no crankiness.
At 19.00 I feel quite normal and am fully functional again. Sleep was quite light and I kept waking up the whole night but I am quite sensitive to stimulants so this wasnít a surprise.
All in all this is an interesting compound but it is quite mild. I would not be comfortable doing anything more than 300-400 mg but at that dosage the effects are just not worth it. If you like euphoria then this may be worthwhile, but for me this compound lacks something.
Experience Reports are the writings and opinions of the individual authors who submit them.
Some of the activities described are dangerous and/or illegal and none are recommended by Erowid.


Travel Arrangements
Getting to our extra-spooky, extra-secret location is not easy. Rest easy while you get to our resort, in your very own personal coffin booth.
Travel Options
- The Haunted Bus
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Haunted Resort Directory
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What this is for
CodePen Original
Test Datalist w/ optgroup
Countries
Switzerland
Switzerland
Towns
AAAA
BBB
Polyfilled Datalist w/ optgroup
Integral Numbers
tinyint
8 Bit from 0 to 255
smallint
16 Bit from -32'768 to 32'767
integer
32 Bit from -2'147'483'648 to 2'147'483'647
bigint
64 Bit from appx. -9×10
18
to 9×10
18
Real Numbers
decimal(18,0)
depending on precision: -10
38
+1 to 10
38
-1
smallmoney
-214'748.3648 to 214'748.3647
money
-922'337'203'685'477.5808 to 922'337'203'685'477.5807
float
-1.79E+308 to -2.23E-308, 0, and 2.23E-308 to 1.79E+308
real
-3.40E+38 to -1.18E-38, 0, and 1.18E-38 to 3.40E+38
Geography
Latitude
Precision Reference
Longitude
Precision Reference
geography
unknown
geometry
unknown
xml
Cannot exceed 2 gigabytes (GB) in size.
uniqueidentifier
unknown
Binary
varbinary(MAX)
up to 2
31
-1 bytes (2GB)
image
deprecated - use varbinary(MAX) instead
Text
nvarchar(255)
up to 4'000 UNICODE (UTF-16) characters
nvarchar(MAX)
2 GB (or appx. 1'073'741'821 characters)
varchar(255)
up to 8'000 ASCII/ANSI characters
varchar(MAX)
2 GB (or appx. 2'147'483'645 characters)
text
deprecated - use varchar(MAX)
ntext
deprecated - use nvarchar(MAX)


Pokémon Battle Assistant
Sign out
CHOOSE NEXT
vs.
OPPONENT
Change Opponent
Your Pokémon Team -
Edit Party
Add to Party


Top Level Namespace
Defined Under Namespace
Modules: Dialogue, Gardner, Planter Classes: Sapling
Constant Summary
- SKELE_TRUNK_TEXT =
The default trunk text of a new tree
"Welcome to the Sapling Editor. For details, please see the documentation!"
- SKELE_BRANCH_TEXT =
The default first-branch text of a new tree
"The first branch is always shown by default. It should act as the introduction to the story. From here, the user enters your world!"
- SKELE_LEAF_TEXT =
The default first-leaf text of the first branch of a new tree. The leaf points to it's own branch. The only way out of the program is to either force-quit or reply with option 0.
"Each branch can have any number of leaves, which represent the options a user has on that branch. Each leaf points to another branch, or can point to branch 0 to immediately exit."
- SKELETON_TREE =
The final tree
[ {"trunk" => "#{SKELE_TRUNK_TEXT}"}, {"branch" => { "number" => 1, "text" => "#{SKELE_BRANCH_TEXT}", "leaf" => [{ "text" => "#{SKELE_LEAF_TEXT}", "branch" => 1 }] } } ]
Instance Method Summary collapse
-
#verify_tree(file) ⇒ Boolean
Verify that a file is a dialogue tree file.
Instance Method Details
#verify_tree(file) ⇒ Boolean
Verify that a file is a dialogue tree file.
43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 |
# File 'lib/sapling/utility.rb', line 43 def verify_tree(file) results = [] begin tree = YAML.load_file(file) results << tree[0].keys.include?("trunk") results << tree[1]["branch"].keys.include?("number") results << tree[1]["branch"].keys.include?("text") results << tree[1]["branch"].keys.include?("leaf") rescue puts "Sorry chummer, I don't think this is a tree." puts "Verify your YAML file is formatted properly." results << false end results.include?(false) ? false : true end |


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{% block body %} {% endblock %}


DfE enquiries
Central newsdesk 020 7783 8300
General enquiries 0370 000 2288
Press release
Government shows commitment to annual destination data by publishing 6 months early.
Thousands more students are staying in education or going on to employment or training, according to figures published today (27 January 2015).
The data shows that between October 2012 to March 2013 91% of pupils continued down 1 of these 3 routes after key stage 4 (normally 16 years old), rising from 89% the previous year - a total of 6,500 pupils.
Ensuring more young people leave education prepared for further study or the world of work is crucial to the government’s long-term economic plan.
The latest figures come at a time when the proportion of young people not in education, employment or training ( NEET ) is at its lowest since consistent records began in 1994.
Destination measures are increasingly being seen as key to assessing how well schools and colleges prepare their students to make a successful transition into the next stage of education or training, or employment.
Today’s annual key stage 4 and key stage 5 destination measures , which predominantly cover the post-16 age group, are being released 6 months earlier than previous cohorts, showing the government’s commitment to improving the timeliness of the data.
Schools Minister David Laws said:
It is crucial that parents have access to the information that lets them judge how well schools and colleges are preparing young people for the future.
Today’s data show many examples of schools - including those in the most deprived parts of the country - which are ensuring their pupils are moving on to meaningful destinations.
The figures are hugely satisfying, with thousands more pupils going on to further education, training or employment - showing the significant progress this coalition government has made in building a fairer society.
At the same time there are some schools which could be doing more to make sure all their pupils can get on in life, and today’s data will be extremely valuable in helping hold those school leaders to account.
The publication was also welcomed by Ofsted , which now takes into account a school’s destination data when considering the effectiveness of its careers advice for pupils in years 8 to 13.
Marina Gaze HMI , Ofsted Deputy Director for Further Education and Skills, said:
We welcome the earlier publication of destination measures.
The data helps to inform conversations between inspectors and schools and colleges about the progress students make into further and higher learning or employment.
We particularly welcome the trend data this year.
Brampton Manor Academy in London, a mixed comprehensive converter academy, is 1 example of a school with a high proportion of pupils from a disadvantaged background (260 out of a total of 270) who are going on to positive outcomes.
In the 2012 to 2013 period analysed, 94% of disadvantaged pupils at the school continued in education, employment and training.
And at the St Marylebone Church of England School, a comprehensive girls’ school in London and another converter academy, 98% of the 60 pupils from disadvantaged backgrounds went on to meaningful destinations in October 2012 to March 2013.
Central newsdesk 020 7783 8300
General enquiries 0370 000 2288
Published: 27 January 2015
From: Department for Education The Rt Hon David Laws
Part of: Young people


It's a work in progress, so there's little content at the moment, but here you'll find everything about me and what I'm working on.


|
JavaTM 2 Platform Standard Ed. 5.0 |
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java.lang.Object java.util.concurrent.locks.ReentrantReadWriteLock
public class ReentrantReadWriteLock
An implementation of ReadWriteLock
supporting similar
semantics to ReentrantLock
.
This class has the following properties:
This class does not impose a reader or writer preference ordering for lock access. However, it does support an optional fairness policy. When constructed as fair, threads contend for entry using an approximately arrival-order policy. When the write lock is released either the longest-waiting single writer will be assigned the write lock, or if there is a reader waiting longer than any writer, the set of readers will be assigned the read lock. When constructed as non-fair, the order of entry to the lock need not be in arrival order. In either case, if readers are active and a writer enters the lock then no subsequent readers will be granted the read lock until after that writer has acquired and released the write lock.
This lock allows both readers and writers to reacquire read or
write locks in the style of a ReentrantLock
. Readers are not
allowed until all write locks held by the writing thread have been
released.
Additionally, a writer can acquire the read lock - but not vice-versa. Among other applications, reentrancy can be useful when write locks are held during calls or callbacks to methods that perform reads under read locks. If a reader tries to acquire the write lock it will never succeed.
Reentrancy also allows downgrading from the write lock to a read lock, by acquiring the write lock, then the read lock and then releasing the write lock. However, upgrading from a read lock to the write lock is not possible.
The read lock and write lock both support interruption during lock acquisition.
Condition
support
The write lock provides a Condition
implementation that
behaves in the same way, with respect to the write lock, as the
Condition
implementation provided by
ReentrantLock.newCondition()
does for ReentrantLock
.
This Condition
can, of course, only be used with the write lock.
The read lock does not support a Condition
and
readLock().newCondition() throws
UnsupportedOperationException.
This class supports methods to determine whether locks are held or contended. These methods are designed for monitoring system state, not for synchronization control.
Serialization of this class behaves in the same way as built-in locks: a deserialized lock is in the unlocked state, regardless of its state when serialized.
Sample usages. Here is a code sketch showing how to exploit reentrancy to perform lock downgrading after updating a cache (exception handling is elided for simplicity):
class CachedData { Object data; volatile boolean cacheValid; ReentrantReadWriteLock rwl = new ReentrantReadWriteLock(); void processCachedData() { rwl.readLock().lock(); if (!cacheValid) { // upgrade lock manually rwl.readLock().unlock(); // must unlock first to obtain writelock rwl.writeLock().lock(); if (!cacheValid) { // recheck data = ... cacheValid = true; } // downgrade lock rwl.readLock().lock(); // reacquire read without giving up write lock rwl.writeLock().unlock(); // unlock write, still hold read } use(data); rwl.readLock().unlock(); } }ReentrantReadWriteLocks can be used to improve concurrency in some uses of some kinds of Collections. This is typically worthwhile only when the collections are expected to be large, accessed by more reader threads than writer threads, and entail operations with overhead that outweighs synchronization overhead. For example, here is a class using a TreeMap that is expected to be large and concurrently accessed.
class RWDictionary { private final Map<String, Data> m = new TreeMap<String, Data>(); private final ReentrantReadWriteLock rwl = new ReentrantReadWriteLock(); private final Lock r = rwl.readLock(); private final Lock w = rwl.writeLock(); public Data get(String key) { r.lock(); try { return m.get(key); } finally { r.unlock(); } } public String[] allKeys() { r.lock(); try { return m.keySet().toArray(); } finally { r.unlock(); } } public Data put(String key, Data value) { w.lock(); try { return m.put(key, value); } finally { w.unlock(); } } public void clear() { w.lock(); try { m.clear(); } finally { w.unlock(); } } }
A reentrant write lock intrinsically defines an owner and can only be released by the thread that acquired it. In contrast, in this implementation, the read lock has no concept of ownership, and there is no requirement that the thread releasing a read lock is the same as the one that acquired it. However, this property is not guaranteed to hold in future implementations of this class.
This lock supports a maximum of 65536 recursive write locks
and 65536 read locks. Attempts to exceed these limits result in
Error
throws from locking methods.
| Nested Class Summary | |
|---|---|
static class |
ReentrantReadWriteLock.ReadLock
The lock returned by method readLock() . |
static class |
ReentrantReadWriteLock.WriteLock
The lock returned by method writeLock() . |
| Constructor Summary | |
|---|---|
ReentrantReadWriteLock()
Creates a new ReentrantReadWriteLock with default ordering properties. |
|
ReentrantReadWriteLock(boolean fair)
Creates a new ReentrantReadWriteLock with the given fairness policy. |
| Method Summary | |
|---|---|
protected Thread |
getOwner()
Returns the thread that currently owns the write lock, or null if not owned. |
protected Collection<Thread> |
getQueuedReaderThreads()
Returns a collection containing threads that may be waiting to acquire the read lock. |
protected Collection<Thread> |
getQueuedThreads()
Returns a collection containing threads that may be waiting to acquire either the read or write lock. |
protected Collection<Thread> |
getQueuedWriterThreads()
Returns a collection containing threads that may be waiting to acquire the write lock. |
int |
getQueueLength()
Returns an estimate of the number of threads waiting to acquire either the read or write lock. |
int |
getReadLockCount()
Queries the number of read locks held for this lock. |
protected Collection<Thread> |
getWaitingThreads(Condition condition)
Returns a collection containing those threads that may be waiting on the given condition associated with the write lock. |
int |
getWaitQueueLength(Condition condition)
Returns an estimate of the number of threads waiting on the given condition associated with the write lock. |
int |
getWriteHoldCount()
Queries the number of reentrant write holds on this lock by the current thread. |
boolean |
hasQueuedThread(Thread thread)
Queries whether the given thread is waiting to acquire either the read or write lock. |
boolean |
hasQueuedThreads()
Queries whether any threads are waiting to acquire the read or write lock. |
boolean |
hasWaiters(Condition condition)
Queries whether any threads are waiting on the given condition associated with the write lock. |
boolean |
isFair()
Returns true if this lock has fairness set true. |
boolean |
isWriteLocked()
Queries if the write lock is held by any thread. |
boolean |
isWriteLockedByCurrentThread()
Queries if the write lock is held by the current thread. |
ReentrantReadWriteLock.ReadLock |
readLock()
Returns the lock used for reading. |
String |
toString()
Returns a string identifying this lock, as well as its lock state. |
ReentrantReadWriteLock.WriteLock |
writeLock()
Returns the lock used for writing. |
| Methods inherited from class java.lang.Object |
|---|
clone, equals, finalize, getClass, hashCode, notify, notifyAll, wait, wait, wait |
| Constructor Detail |
|---|
public ReentrantReadWriteLock()
public ReentrantReadWriteLock(boolean fair)
fair
- true if this lock should use a fair ordering policy| Method Detail |
|---|
public ReentrantReadWriteLock.WriteLock writeLock()
ReadWriteLock
writeLock
in interface ReadWriteLock
public ReentrantReadWriteLock.ReadLock readLock()
ReadWriteLock
readLock
in interface ReadWriteLock
public final boolean isFair()
protected Thread getOwner()
public int getReadLockCount()
public boolean isWriteLocked()
public boolean isWriteLockedByCurrentThread()
public int getWriteHoldCount()
protected Collection<Thread> getQueuedWriterThreads()
protected Collection<Thread> getQueuedReaderThreads()
public final boolean hasQueuedThreads()
public final boolean hasQueuedThread(Thread thread)
thread
- the thread
NullPointerException
- if thread is nullpublic final int getQueueLength()
protected Collection<Thread> getQueuedThreads()
public boolean hasWaiters(Condition condition)
condition
- the condition
IllegalMonitorStateException
- if this lock
is not held
IllegalArgumentException
- if the given condition is
not associated with this lock
NullPointerException
- if condition nullpublic int getWaitQueueLength(Condition condition)
condition
- the condition
IllegalMonitorStateException
- if this lock
is not held
IllegalArgumentException
- if the given condition is
not associated with this lock
NullPointerException
- if condition nullprotected Collection<Thread> getWaitingThreads(Condition condition)
condition
- the condition
IllegalMonitorStateException
- if this lock
is not held
IllegalArgumentException
- if the given condition is
not associated with this lock
NullPointerException
- if condition nullpublic String toString()
toString
in class Object
|
JavaTM 2 Platform Standard Ed. 5.0 |
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| PREV CLASS NEXT CLASS | FRAMES NO FRAMES | |||||||||
| SUMMARY: NESTED | FIELD | CONSTR | METHOD | DETAIL: FIELD | CONSTR | METHOD |
Copyright © 2004, 2010 Oracle and/or its affiliates. All rights reserved. Use is subject to license terms. Also see the documentation redistribution policy.


MAIN
1
2
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Interview with Archivist at RISD Museum
Sa&Han : Could you describe the process of Unknown is named into tag?


EBD - Easton Bible DIctionary
Dan-jaan
DAN-JAAN
"DAN-JAAN "woodland Dan, a place probably somewhere in the direction of Dan, near the sources of the Jordan (
2 Samuel 24:6
). The LXX. and the Vulgate read “Dan-ja’ar”, i.e., “Dan in the forest.”
"DAN-JAAN "woodland Dan, a place probably somewhere in the direction of Dan, near the sources of the Jordan (2 Samuel 24:6). The LXX. and the Vulgate read “Dan-ja’ar”, i.e., “Dan in the forest.”


{% load static %}
Welcome to Best Cars dealership, home to the best cars in North America. We sell domestic and imported cars at reasonable prices.


Iason Heine:
Ah, come in, come in... Have you brought the six pieces of Blooded Fabric from Aden?
What? Why not?
I already paid for them! Are you trying to rip me off?


Game Development · God of WOW · Orc Rogue
I am 21 years old, Studying in Asia Pacific College. I am now in 2rd year of my course.
My hoppy is playing video games, going to gym, and playing Football.


As a student by day and a private tutor by night, I enjoy indulging in various kinds of books and I am easily fascinated by a myriad of scientific and sociological theories.
Moving OnPoi Ching School [2005-2010]|Chung Cheng High School (Main) [2011-2014]| Hwa Chong Institution (College) [2015-2016]|Part time tutor and driving student[2017-]
Thanks to the numerous opportunities and funding available in my previous schools, I had the opportunity to participate in various OCIP programmes which involved teaching the local students English and conducting other miscellaneous activities.
Besides OCIP, I also do participate in local volunteering work and my days in Hwa Chong had given me a chance to pursue various service learning projects.
Because what is life without something to keep us grounded.
An amateurish display of words by yours truly.


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Sorry, the page you are looking for is not found.
Please access other page.
Faithfully yours, nginx.


Provides capability to scan currently loaded classes for subclasses of a given class. Loading any class from the package is generally sufficient to be sure the classes defined within that package will be available to these methods.


OR
name: {{rep.repoName}}
description: {{rep.repoDescription}}
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url: {{rep.repoUrl}}
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link to repo in github


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Peter Purves left 'stunned' after being dropped as commentator for Channel Four's Crufts
The former Blue Peter presenter spoke on Good Morning Britain about the decision to let him go and admitted "I was very shocked."
by Ailbhe MacMahon, Thomas LynchPeter Purves has been left "stunned" and hurt" after being dropped as commentator for Channel Four's Crufts after 41 years.
The legendary actor and presenter, 80, spoke to Piers Morgan and Susanna Reid on Good Morning Britain today about the shocking decision.
Crufts is an annual dog event held at the National Exhibition Centre in Birmingham and sees canines compete in several competitions in the hope of becoming 'Best in Show.'
The former Blue Peter presenter admitted that "there's a void" there now that he's been sacked.
Piers Morgan slammed the network's decision, branding it as "ageist" and "cruel," the Daily Star reports.
Speaking about the events leading up to his sacking, Peter said: "I got an email back saying 'that's wonderful news, we'll talk to you about Crufts as soon as we can.'
"The following day I got a phone call saying 'there's no easy way to say this, but you're actually surplus the requirements, we don't need you.'"
Peter went on to say the decision came as quite the surprise as there was no warning or consensus that things needed to change.
"I was stunned," he told GMB viewers.
"There hadn't been a hint about it.
"I was very shocked. I was very hurt."
Viewers soon took to Twitter to express their frustration and blasted Channel Four's decision.
One said: "He has been a huge part of our lives. Disgraceful of Crufts."
A second added: "Peter Purves, a legend for my generation, put out to seed by Channel 4 – scandalous."
Another added: "Poor Peter Purves! Ageism goes right to the top, clearly."
Good Morning Britain airs on weekdays at 6am on ITV.


Purpose
Approach
Consideration
Covers
Ensures better readability, testable code
export class ProductService {
constructor(private http: Http) { }
getProducts() {
return this.http.get('api/products')
.map((response: Response) => response.json().data);
}
}
Always use lifecycle hooks to define actions for important events
@Component({
selector: 'buy-item-button',
template: ``
})
export class BuyItemComponent implements OnInit {
ngOnInit() {
console.log('The component is initialized');
}
}
function linkify( selector ) {
if( supports3DTransforms ) {
var nodes = document.querySelectorAll( selector );
for( var i = 0, len = nodes.length; i < len; i++ ) {
var node = nodes[i];
if( !node.className ) {
node.className += ' roll';
}
}
}
}
Code syntax highlighting courtesy of highlight.js.
Press B or . on your keyboard to pause the presentation. This is helpful when you're on stage and want to take distracting slides off the screen.


{{.Title}}
{{.Description}}
Collaborate on Terraform with your team
Run terraform plan and apply from GitHub pull requests so everyone can review the output
Lock environments
Lock environments until pull requests are merged to prevent concurrent modification and confusion.
No need to distribute credentials
No need to distribute credentials to your whole team. Developers can submit Terraform changes and run plan and apply directly from the pull request.


Here is a list of all documented class members with links to the class documentation for each member: