|
ensembl-hive
2.4
|
Directories | |
| directory | DBSQL |
| directory | Examples |
| directory | Meadow |
| directory | PipeConfig |
| directory | RunnableDB |
| directory | Scripts |
| directory | Utils |
Files | |
| file | Accumulator.pm |
| file | Analysis.pm |
| file | AnalysisCtrlRule.pm |
| file | AnalysisJob.pm |
| file | AnalysisStats.pm |
| file | Cacheable.pm |
| file | Configurable.pm |
| file | DataflowRule.pm |
| file | DataflowTarget.pm |
| file | DependentOptions.pm |
| file | GuestProcess.pm |
| file | HivePipeline.pm |
| file | Limiter.pm |
| file | Meadow.pm |
| file | MetaParameters.pm |
| file | NakedTable.pm |
| file | Params.pm |
| file | PipelineWideParameters.pm |
| file | Process.pm |
| file | Queen.pm |
| file | ResourceClass.pm |
| file | ResourceDescription.pm |
| file | Role.pm |
| file | Scheduler.pm |
| file | Storable.pm |
| file | TheApiary.pm |
| file | URLFactory.pm |
| file | Utils.pm |
| file | Valley.pm |
| file | Version.pm |
| file | Worker.pm |


Here is a list of all functions, variables, defines, enums, and typedefs with links to the files they belong to:
- AVR32_INTC_MAX_NUM_IRQS_PER_GRP
: intc.h
- AVR32_INTC_NUM_INT_LEVELS
: intc.h
Generated on Thu Sep 20 12:12:52 2007 for AVR32 UC3 - SSC USART Driver by
1.5.1-p1


I’m trying to build a age-period-cohort model of smoking using the various MPC cleaned datasets. Since I have the most experience with BRFSS, I started with just some simple visualizations looking at the data through a cohort lense. Things run a bit slow to use srvyr or survey functions to get estimates of variance, so I’ll just use weighted means and rely on inter-year variability to show the variation (at least for now, for this exploratory work).
I think the best graphs come from the most simple variable whether the respondent has smoked 100 cigarettes total in their lifetime. Here they are in gif form:
If that gif makes your head swim, here’s a faceted graph showing every 5th cohort’s trends.
I see 4 phases of broad trends:
-
Not enough data (Roughly 1890-1905)
At first there’s just not enough data and so there’s too much variation to see any clear trends. BRFSS doesn’t have a lot of people in the older age groups. A big part of this is due to people dying, but also the BRFSS sample frame doesn’t cover nursing homes or long-term care facilities so it’s coverage of older respondents is pretty poor. Further, to make this anaysis as simple as possible, I don’t include respondents in the top-coded age categories (97 in 1984, 80 in 2012 and later, and 99 in all other years). -
Differential mortality & women catch up (Roughly 1905-1935)
Because we are looking at ever smoking, the fact that the slope goes down is somewhat confusing. For each person, they can never change from an ever smoker to a never smoker. Yet, the percentage of the cohort who are ever smokers goes down in this period. This is self-reported data of course, so some of it could be changes in recall or social desirability bias as time goes on, but a big part of it is likely due to the fact that there is differential mortality between people who have ever smoked and those who have not. This can be caused both by the harmful effects of smoking as well as other behaviors that are correlated with smoking such as alcohol and other drugs and other risk behaviors.Another interesting thing to look at in this phase of the gif is that women are catching up to men in smoking prevalence. Presumably this is evidence of women’s liberation and other changes in social norms around women’s behavior.
-
Rates fall, and men converge to women (Roughly 1935-1965)
After generally increasing (probably partly due to differential mortality), the rates begin to fall pretty quickly cohort birth year over year. At the beginning of this phase, ~75% of men and 60% of women have ever smoked, and by the end they are below 50%. -
Seeing introduction of smoking (1965-2013) These groups are the first that we are seeing young enough for significant numbers of new ever smokers to be introduced (both because they are younger when the first survey interviewed them and because the age of smoking introduction is getting older). This is shown by the upward trend for each cohort. It appears like men are starting to smoke more than women again, though there’s not enough data to be completely sure.
Those are the first set of graphs I made from BRFSS. Hopefully soon I’ll show something about currently smoking and retrospective prevalence from BRFSS as well as some of the other surveys we have harmonized (YRBSS, NSDUH, NHIS).
I can’t really share the data yet (hopefully soon), but here’s the code used to produce these plots (man it’d be nice to have collapsible code blocks in this blog CMS).
suppressPackageStartupMessages({
library(dplyr)
library(gganimate) # requires devtools::install_github("gergness/gganimate@1d611fa")
library(ggplot2)
library(mpctools)
library(purrr)
library(readr)
library(srvyr)
library(tibble)
library(tidyr)
})
# Load data ---------
out_dir <- "~/smoking_age_cohort/interim_data/"
brfss_years <- 1984:2013
calc_age_clean <- function(age, year) {
# NAs for top code because we don't know their real age...
ifelse((year == 1984 & age >= 97) |
(year >= 1985 & year <= 2012 & age >= 99) |
(year == 2013 & age >= 80),
NA, age)
}
all_brfss <- map_df(brfss_years, function(yyy) {
out <- readRDS(paste0(out_dir, "/person/brfss", yyy, "a.Rds")) %>%
set_names(tolower(names(.))) %>%
mutate(
age = as.numeric(age),
age_clean = calc_age_clean(age, yyy),
cohort = yyy - age_clean,
sex = haven::as_factor(sex),
survey_year = yyy
) %>%
filter(!is.na(age_clean))
# Get weights
if (yyy <= 2010) {
out <- mutate(out, weights = landwt)
} else {
out <- mutate(out, weights = llcpwt)
}
out
})
# Calcualte ever Smoked -------------
calc_smokev_bin <- function(smokev) {
smokev == 2
}
ever_smoked_data <- all_brfss %>%
mutate(
smokev_bin = calc_smokev_bin(smokev),
year = survey_year
) %>%
group_by(sex, age_clean, cohort, year) %>%
summarize(
ever_smoked = weighted.mean(smokev_bin, weights, na.rm = TRUE),
n = sum(!is.na(smokev_bin))
)
# Animated plot ------------
ever_smoked_plot_data <- ever_smoked_data %>%
# To make graphs more readable
filter(cohort > 1905)
plot <- ggplot(
ever_smoked_plot_data,
aes(x = year, y = ever_smoked, group = paste0(sex, "-", cohort), color = sex,
frame = cohort, cumulative = TRUE, alpha_decay = function(x) exp(-x/5))
) +
geom_line() +
geom_point() +
theme_bw() +
scale_color_manual(values = c("#984ea3", "#ff7f00")) +
scale_y_continuous("Ever smoked", labels = scales::percent) +
labs(
title = "Cohort: ",
subtitle = "Prevalence of ever smoking",
caption = "Data: BRFSS 1984-2013"
)
gg_animate(plot, interval = 0.15)
# Static plot ------------
ever_smoked_plot_data <- ever_smoked_data %>%
# To make graphs more readable
filter(cohort %in% seq(1905, 2005, by = 5))
ggplot(ever_smoked_plot_data, aes(x = year, y = ever_smoked, group = sex, color = sex)) +
geom_line() +
geom_point() +
facet_wrap(~cohort) +
theme_bw() +
scale_color_manual(values = c("#984ea3", "#ff7f00")) +
scale_y_continuous("Ever smoked", labels = scales::percent) +
labs(
title = "Prevalence of ever smoking by cohort (every 5th year)",
caption = "Data: BRFSS 1984-2013"
)


TABLE OF INTERACTIONS WITH
PARACETAMOL
From the French ANSM drug interactions document of September 2016, p. 172
PARACETAMOL RxNorm: 161 ATC: N02BE01 |
VITAMIN K ANTAGONISTS CLASS CODE: B01AA-001 |
Risk of increase of the effect of the vitamin K antagonist and of the risk of hemorrhage when taking paracetamol in maximal doses (4g/day) for at least 4 days |
Precaution for use More frequent testing of the INR. Possible adjustment of the dosage of the vitamin K antagonist during the treatment with the paracetamol and after it is stopped. |


Commit Uncommit You've reached {{ subscribedCommitments[commitment._id].reached }}%.
The calculation for daily commitments is based on the last 10 days.


I may no longer have a house post-demolition, but this avocado toast is delicious.
11/7/2017, 7:50:21 PM
Favs: 50
Retweets: 4
link--- layout: tweet ---
I may no longer have a house post-demolition, but this avocado toast is delicious.
11/7/2017, 7:50:21 PM
Favs: 50
Retweets: 4
link


Headlines
Latest
sources
Latest
sources
Sort By
sort by:
Relevancy
Popularity
Published At
sources
Choose source:
domains
Domains(seperated by comma):
eg bbc.co.uk,techcrunch.com
Search
Search in title
from date
to date
Apply


The Pandemic Fear
22 Dec 2021As 2020 draws to a close it brings to mind the events of the past two years and the lessons to be learned from it. In this post I want to examine this.
As 2020 draws to a close it brings to mind the events of the past two years and the lessons to be learned from it. In this post I want to examine this.
My girlfriend and I are going to be planting a garden this year, however we live in town and do not have space for such a thing. We do however have access to a garden space that is out in a rural area about 30 minutes from us. To avoid having to drive this distance just to water I had the thought of making an automated irrigation system. The challenge was to create a system that was low-cost but also remotely controllable.
Hey everyone its been a long time since I updated my blog. I just wanted to wish everyone a happy new years.
I was wanting to move out of the place that I was in and as such needed to find a new place to live. Rather than spending a bunch of time looking through posts I thought “Why can’t I have my computer find them and send them to me.”
I have been thinking lately about the power of the internet and the ways that people can become and do and say things that they would not usually do or say either from the web. It is an equalizing and possibly anonymous, if that is what the situation warrants, platform for voicing the opinion of the people and making known what is happening around the world.


--- layout: post esbma_id: 1772 title: My excuses for not blogging about the Microsoft/Teamprise deal date: 2009-11-13 18:51:17 ---
People keep asking me why I haven't blogged about the Microsoft acquisition of our Teamprise division.
Well, it's kind of complicated.
It all started three days before the signing of the deal when my laptop died. And I mean it's really dead. It won't boot, from any device.
Great timing, eh?
Fortunately, all I really needed for working on the deal was email and Microsoft Word, so I just switched over to my netbook.
I completely forgot about the MacBrick Pro until this weekend when I realized that the press coverage was going to hit Monday morning and the only installation of my blogging software was trapped in a lifeless piece of aluminum on my office floor.
So I ran out and bought a new Mac laptop, hoping to get everything going in time to write my blog entry for Monday.
And then I figured, heck, as long as I was doing a completely new setup, why not start off right with an Intel X-25M instead of the stock hard disk?
Getting everything configured wasn't too difficult, but the SSD ended up costing me a lot of time because Monday morning I had to tell the other coders on my project team that I can do a full build in 24 seconds. All that gloating killed a couple of hours, and by the time I got back to my desk I figured I should check and see how the press coverage was going.
Whoa. The Microsoft PR machine is amazing! They got over 230 articles published about the acquisition. I couldn't get that kind of press coverage without committing a felony.
Right about then I got into an argument with my daughter because I wanted her to walk four blocks from her school over to my office and she said it was too far. I wish my Mom would call me more often to tell me how much she appreciates the fact that I was a model teenager who never caused my parents any trouble.
So anyway, with hundreds of people already writing about the deal, I needed a new angle. I figured I had to come up with something cool or not post anything at all. So I started drafting something, but I got stuck when I couldn't find anybody to confirm whether Kanye West jokes are still funny or not. (Yo Eric! I'm really happy for you and I'mma let you finish, but Groove was the greatest Microsoft acquisition of all time!)
A short time later our sales VP walked in to let me know that SourceGear's name was mentioned in the "New York Freaking Times". Cool.
The next morning I resumed working on this blog entry, or rather, on the infrastructure to support same. I restored the VMware image from my Time Machine disk, but I couldn't get the product serial number to work.  But that took hours, because apparently every Steve Jobs disciple on the planet was upgrading their Mac on the same day, so Apple's download servers were really slow.
While I was doing that, the aforementioned daughter asked me to drive her to the mall and I refused. So she walked FIVE MILES to get there by herself.
Keep that in mind next time you're having trouble understanding the mind of a teenager: FIVE MILES to the mall is a shorter walk than FOUR BLOCKS to your Dad's office.
Suddenly I realized it had been a whole day since I told any of my coworkers that I can build the whole tree in 24 SECONDS, and well, you know what happened to the rest of my morning.
So then I walked across the street to the coffee shop to pick up a copy of the local newspaper. As usual, they did a very nice job on the press coverage for us. And, as usual, our story was below the fold because the main story of the day was about farming.
Keep that in mind next time you're having trouble understanding the mind of Champaign: If you want your big-time corporate acquisition to be the top story, make sure you work something about corn yields into the deal.
For those of you keeping score at home, that's 232 points for the Microsoft PR team and one point for me. I'm sure there's some PR guy at Microsoft trying to take credit for Don Dodson's piece in the Tuesday morning edition of the Champaign-Urbana News-Gazette, but that one was MINE. They may be able to place stories in the New York Freaking Times, but I've got connections too.
I'm not kidding -- building this project's code on some machines can take several minutes, but my new Mac can do a whole build in 24 seconds. The X-25M is way cool. I am now seriously considering putting a $700 SSD into my $300 netbook.
This morning I gave up and paid VMware for a new serial number, and here I am writing in my blog once again.
As I write this, the realization hits me. I got frustrated because I couldn't move my VMware installation to my new machine. My company just had a liquidity event. I could have paid VMware $79 to solve the problem, but instead, I decided it would be better to thrash on that problem for three days and THEN pay the $79. Yep, I'm in the big leagues now.
So anyway, if you haven't heard, Microsoft announced Monday morning that it has acquired our Teamprise division. I think the deal ended up being a nice win for both Microsoft and SourceGear.
I'll be at PDC next week. Stop by the SourceGear booth and say hi.


Unma1796.github.io
The NETGEAR Insight™ solution is a revolutionary new way to instantly discover, conﬁgure, and continuously monitor and manage your network of select NETGEAR WiFi access points, switches, and storage devices.
GC110 / GC110P / GC510P / GC510PP Firmware - kb.netgear.com.
Switch Netgear Networking reviews, ratings, and prices at CNET. Find the Switch Netgear Networking that is right The Insight Managed Smart Cloud Gigabit Ethernet Switches are the first switches from NETGEAR with anywhere configuration and management. All you need is the NETGEAR Insight management solution for easy setup, monitoring and remote/cloud management of your Insight Managed Switches, Insight Managed.
GearHead Support is a technical support service for NETGEAR devices and all other connected devices in your home. Advanced remote support tools are used to fix issues on any of your devices. The service includes support for the following:. View and Download NETGEAR GC510P hardware installation manual online. Insight Managed 8-Port Gigabit Ethernet PoE+ Smart Cloud Switch with 2 SFP Fiber Ports. GC510P Network Router pdf manual download. Also for: Gc510pp, Gc110, Gc110p. Gigabit Switch Series - NETGEAR. NETGEAR Insight app: You can scan the serial number bar code of the switch, add the switch from the Day Zero window, add the switch from the Network window, or add the switch from the Device List window. NETGEAR GC510P NetGuardStore.com. NETGEAR GC510P HARDWARE INSTALLATION MANUAL Pdf Download. Switch Netgear - Networking Reviews
Shop Newegg for fast and FREE shipping on Netgear Inc. Switches with the best prices and award-winning customer service.
Netgear GC510PP Pdf User Manuals. View online or download Netgear GC510PP User Manual. Netgear - Insight Cloud Portal. Amazon.com: NETGEAR 8 Port Gigabit Ethernet The NETGEAR Insight Managed Smart Cloud GC510PP is the first 8-port Gigabit Ethernet High-Power PoE+ Switch from NETGEAR with anywhere configuration and management. Netgear Inc. Switches - Newegg.com. PDF Insight Managed 8-Port Gigabit Ethernet PoE+ - jp.netgear.com.
PDF NETGEAR Insight Managed 8-Port Gigabit Ethernet PoE+ Smart. Netgear Launches Smart Cloud Devices with Insight Management. NETGEAR Insight Managed 8-Port Gigabit Ethernet PoE+ Smart Cloud Desktop/Rackmount Switch w/2 SFP Fiber Ports (134W) GC110, GC110P and GC510P models are all fanless and silent, while GC510PP has a whisper-quiet fan. Great choice of non-PoE, PoE and PoE+ options.


Organizations spend millions of dollars on firewalls and security devices, but they throw away the money because none of these measures covers the weakest link in the security chain: people who use and manage computers.


Before we learn the tools for useful web development, we need to learn the basics of command line.
Learn MoreIn order to effectively collaborate with other partners, we need to learn how to use Git. Git is also useful for keeping track of our progress.
Learn MoreTo effectively build our applications, we need to containerize our projects using Docker.
Learn MoreTo deploy Docker containers on Azure, we need to properly set up our image and ACI.
Learn More


China PTB Permian-Triassic Triassic North extinction mass Formation Geol. (Fig. South Sunjiagou boundary terrestrial {border-style Early Sci. Liujiagou isotope px;} #ffffff;} Earth fluvial Permian climate negative Table carbon evidence weathering Supplementary deposits using Late change fossil red (Supplementary Geology Planet. Science aeolian global sections sedimentary Bull. Palaeoecol. Res. Shanxi carbonates land marine mudstones northern sandstone Palaeoclimatol. Palaeogeogr. Soc. alluvial changes excursion implications meandering samples sediment similar soil zircon ./j.palaeo... Geological Lett. braided crisis dramatic elements end-Permian environmental geochemical mudstone oxygen px; shift study tectonic transition values western {font-family Am. Asian Basin, Benton China, China. Chinese Karoo Precambrian Sedimentology age beds central confirmed data font-size interval isotopes proxies relatively sandstones sequences surfaces upper (e.g. CIA Cambrian European Fig. Figure Formation. Knoll Liu Moreover, PTB. Shen U-Pb [], ages arid atmospheric background carbonate channel collapse conditions dark depositional diagenesis double; environments erosion excursions increase interval. latest massive pareiasaur rapid regional results rivers sediments source ./G. ./S Africa Basin Bourquin Chu East Formation, Geochemical Group Heshanggou Kaufman Lower Mag. National Newell Permian–Triassic S). Sheldon Upper abrupt acid analysis anoxic assemblage basins belt biostratigraphic border-color border-width characterized composition conglomerates deteriorating detrital distribution ecological facies fans formations horizons increasingly indicate intensity lamination late life near palaeoclimate palaeotemperature plant plants sharp solid; strata stratigraphy streams surface switch synchronous systems trace typical variations warming worldwide zircons {font-style {font-weight −.‰ (sample ./S-()- ./j.epsl... ./j.jseaes... Abbreviations: Acad. Academy Acta Ba/Ca Baode Commons Creative Global However, Institute Integrated Mg/Ca, Middle PTB, Province Retallack Sciences, Sediment. Shihtienfenia Siberian Spec. Sr/Ca Stable Terrestrial Triassic. Twitchett Wang Zhou analytical ancient area areas arid, bar bioturbation bold coal coarse-grained consistent cooling correlation courier; different early eastern em; fine-grained fluctuations following formation formed fossils grey high important increased indicated isotopic linked measured methane multiple occur occurred pt;} ratio record relative represent response result ripple sample sedimentation shows southern stratigraphic strong studies suggested uppermost used value vegetation volcanic water


From last iteration this feature has been improved slightly. There is now support for C/C++ through GNU's g++. The user is also able to specify the name of the file which the wish to save on the server. The "editor" page will now become deprecated and its functionality moved to "files" page where one can create files and edit them all within a single page. This includes compiling/executing of code within the files page.
Docker was intended to be used to bundle the server dependencies inside a single image for ease of deplyoment. Problems arose using mounted volumes from host to the docker container and the resulting file permissions. Basically, files created inside the container and inside the mounted volume were not readable from inside the container but were readable from the host. To remedy this we simply run the server not inside of an intial docker container. Thus the dependencies for this server become:
Each user has their own "home" directory on the server. This directory serves as their hub to upload/download/edit files. Users may create plain text files, upload any sort of file, and view a variety of files. Users may view plain text files using the provided text editor. Users may view certain binary files using HTML's iframe. This includes files such as pdf, ppt, doc. The fact that the user's "home" directory is backed by a file system is made quite transparent. Users are able to create directories and files and traverse their directory tree with their "home" directory being the root.
The database is now used to back account creation and is checked during login to authenticate.
When a user logs into the website there is now a display of the user's active role on the system. An drop-down box displays the possible roles a user may take on the system. The role and user are stored using an HTTP session and are used continuously to determine a user's permissions on the site. The roles are primarily used for navigation within the "Courses" feature of the website.
Navigating to the "Courses" section of the website will display courses which a user is associted with. Only courses which the user is associated with for the given active role will be displayed. Courses which are currently active can be navigated to. Within these active courses a collection of files will be displayed and are separated into two secions. The first is generic "course content" which may includes lecture notes, slide shows, etc. The next is assignment specific and will display assignments for the course. Instructors are able to upload files to course content as well as create assignments and then upload files to the created assignment directory.
Currently in progress of implementation includes retreiving assignments and assignment submission. Users who are enrolled in a course are able to view course content as well as assignents. However, they currently cannot edit these files as the files are contained in the courses page. Next iteration will include options to copy files from the course folder to the user's "home" directory. This will allow instructors to include code bases in their assignments to be used by students. Also in progress is assignment submission. Users will be displayed their "home" directories and instructed to select files to submit. File selection will likely be done using check boxes and files will be "staged" for submission and then finally submitted. This is very similar to git's workflow of adding files and then committing them.
Currently in progress is the administration functionality of the website. This includes adding courses, enrolling users to courses, adding roles to users, restting user passwords, etc. Stay tuned for this in the next iteration.


Georgia Tech Gigabit Internet
Georgia Tech, being located in Midtown Atlanta, has supposedly had gigabit internet on campus for some time now. I wanted to test the speed for myself.
To do this, I simply loaded up speedtest.net, plugged in my laptop to an ethernet port in the Klaus Advanced Computing Building (Georgia Tech’s College of Computing), and clicked “Begin Test”.
The results are in two .gif
’s below: one for download speed and one for upload speed.
922.43 Mbps download and 932.64 Mbps upload. That’s awfully quick1. To put the download speed into perspective, it’s roughly 37x faster than what my parents pay for outside of Atlanta, and about 12x faster than what my roommate and I pay for in the city.
Maybe one day soon I can get gigabit internet in my apartment since Atlanta has been targeted by Google to bring Google Fiber to parts of the city, with AT&T and Comcast soon to follow.
Needless to say, I’m excited to be using gigabit on campus during graduate school. I did a quick Google search for “georgia tech internet speed” and sure enough, I found the following statistic in a tweet:
RT @arball: those at #smskills10 that don't know - #GeorgiaTech has the second fastest internet in the world. Second only to the #Pentagon.
— Georgia Tech (@GeorgiaTech) July 29, 2010
Just a few days after my findings, someone I follow on Twitter posted his unusually high LTE download speed, so I decided to boast about GT’s speed:
@samsheffer So this isn't LTE, but check out my school's internet: pic.twitter.com/CFGt0ped0D
— Fred Hohman (@fredhohman) August 16, 2015
-
Like, really fast. ↩


Are you sure you want to reject this challenge?
{%if not opponent_acceptance%}
Because your opponent has not accepted, this will delete both your Challenge and Team completely.
{%endif%}
This is permanent. If you're not sure, you can always designate someone else as captain on the
Edit Challenge page.


How to play
- Help bring women's suffrage (voting) to New Zealand in the 1800s
- Play each Chance card and follow its instructions
- You can change the world in under five minutes
Petitions
NZ women's population
Parliament
Royal assent
Upper house
3rd reading
2nd reading
1st reading
1878
1879
1880
1881
1882
1883
1884
1885
1886
1887
1888
1889
1890
1891
1892
1893
Team Suffrage
Team Status Quo


public abstract class Encoding
extends java.lang.Object
| Modifier and Type | Field and Description |
|---|---|
protected java.util.Map<Integer,java.lang.String> |
codeToName
This is a mapping from a character code to a character name.
|
static java.lang.String[] |
MAC_GLYPH_NAMES
The 258 standard mac glyph names a used in 'post' format 1 and 2.
|
static java.util.Map<java.lang.String,Integer> |
MAC_GLYPH_NAMES_INDICES
The indices of the standard mac glyph names.
|
protected java.util.Map<java.lang.String,Integer> |
nameToCode
This is a mapping from a character name to a character code.
|
static int |
NUMBER_OF_MAC_GLYPHS
The number of standard mac glyph names.
|
| Constructor and Description |
|---|
Encoding() |
| Modifier and Type | Method and Description |
|---|---|
protected void |
addCharacterEncoding(int code,
java.lang.String name)
This will add a character encoding.
|
java.lang.String |
getCharacter(int code)
This will get the character from the code.
|
static java.lang.String |
getCharacter(java.lang.String name)
This will get the character from the name.
|
int |
getCode(java.lang.String name)
This will get the character code for the name.
|
java.lang.String |
getName(int code)
This will take a character code and get the name from the code.
|
java.lang.String |
getNameFromCharacter(char c)
This will take a character code and get the name from the code.
|
public static final int NUMBER_OF_MAC_GLYPHS
public static final java.lang.String[] MAC_GLYPH_NAMES
public static java.util.Map<java.lang.String,Integer> MAC_GLYPH_NAMES_INDICES
protected java.util.Map<Integer,java.lang.String> codeToName
protected java.util.Map<java.lang.String,Integer> nameToCode
protected void addCharacterEncoding(int code, java.lang.String name)
code
- The character code that matches the character.name
- The name of the character.public int getCode(java.lang.String name) throws java.io.IOException
name
- The name of the character.java.io.IOException
- If there is no character code for the name.public java.lang.String getName(int code)
code
- The character code.public java.lang.String getNameFromCharacter(char c) throws java.io.IOException
c
- The character.java.io.IOException
- If there is no name for the character.public java.lang.String getCharacter(int code) throws java.io.IOException
code
- The character code.java.io.IOException
- If there is not name for the character.public static java.lang.String getCharacter(java.lang.String name)
name
- The name of the character.


Vivo U20 launch date, specs, price, review
Vivo U20 may just be the phone you need. It offers a lot of amazing features, especially those linked to connectivity. You can access both 3G and 4G, not to mention the phone's GPS Bluetooth capabilities. The device is fairly priced and comes with enough storage for your media files.
The Vivo U20 launch date was November 2019. This means that the Chinese company launched the 4 GB and 6 GB RAM models of this device a few weeks ago. Another version, the 8 GB RAM one, is said to be launched on 12th December. The current Vivo U20 price is approximately Rs. 10990.
Overview
The device has a couple of things to offer. However, it also comes with its downsides. Check out the phone's pros and cons below before making a decision.
The good
- Has a full-HD+ display.
- It comes with a decent battery.
- Guaranteed good performance.
The bad
- Comes with below-average camera performance.
- Its UI is riddled with bloatware.
Vivo U20 specifications
Before buying the Vivo U20 mobile, you need to be aware of what specs it comes with. It is only by understanding the basics that you can make an informed decision. Here are Vivo U20 all details.
- Release date: 22 November 2019
- Dimension: 162.2 x 76.5 x 8.9 mm (6.39 x 3.01 x 0.35 in)
- Weight: 193 g (6.81 oz)
- Vivo U20 colours: Racing Black and Blaze Blue
- SIM type: Dual SIM (Nano-SIM, dual stand-by)
- Technology: GSM / HSPA / LTE
- OS: Android 9.0 (Pie); Funtouch 9.2
- CPU: Octa-core (2x2.0 GHz Kryo 460 Gold & 6x1.7 GHz Kryo 460 Silver)
- Chipset: Qualcomm SDM675 Snapdragon 675 (11 nm)
- GPU: Adreno 612
- RAM: 4GB /6GB
- Storage: 64 GB
- Card slot: Yes, microSD, up to 256 GB
- Display size: 6.53 inches
- Display type: IPS LCD capacitive touchscreen, 16M colors
- Resolution: 1080 x 2340 pixels, ~395 ppi density
- Multi touch: Yes
- Rear camera: Triple, 16MP + 8MP + 2MP
- Front camera: 16MP
- Battery: Li-Po, 5000 mAh, non-removable, 18W Dual-Engine fast charging
- 3.5 mm jack: Yes
- Active noise cancellation with dedicated mic: Yes
Hardware
The following are the hardware components that make the phone stand out.
Design
The upgrades on this phone give it a sleek look. The phone's design is generally shiny, thanks to its plastic back panel as well as the frame that give it a glossy finish. While it comes in two colours, a black and blue shade, the choice one makes is purely banked on their preference.
Its power and volume buttons are found on the right. The SIM tray is on the left whereas its 3.5 mm jack, the charging port as well as speaker grille are located at its bottom. With a weight of approximately 193 grams, some people may conclude that it is a bulky and heavy device.
It has a back fingerprint scanner that works well. However, one needs to stretch to get to it. The triple rear camera module with a protective covering is housed by the back panel.
Vivo U20 display
The phone has a screen-to-body ratio of 84.4%. It has thin bezels because of the waterdrop notch for the front camera. It has a 6.53-inch IPS LCD panel that is bright from all angles. It also comes with a full-HD+ panel, which is an upgrade on its display.
Processor, storage & performance
The phone uses the Qualcomm Snapdragon 675 processor coupled with 6GB/4GB RAM. Both variants of the phone come with a ROM of 64GB, which is quite sufficient for ordinary use. If you need more space, then you can bank on the card slot.
Gamers can rest easy knowing that they can enjoy smooth multi-tasking. However, you have to be okay with the fact that the phone will get hot with prolonged use.
The device includes an Ultra Game mode which include features such as off-screen Autoplay. This means that you can have a game running even when the display is switched off. You also have the option of blocking notifications. You also do not have to worry about answering your call when in this mode. You can use the free hand mode to receive calls and reduce interruptions.
Battery
One of the biggest highlights of this phone is its 5,000mAh battery. It comes boxed with an 18W Dual-Engine fast charger. This guarantees you 30 to 36 hours when used on medium to high. Even if you exhaust your battery life, you can be consoled by the fact that the phone charges pretty fast too.
Speaker & call quality
The phone has a loudspeaker together with a 3.5mm headphone jack complete with the active noise cancellation with dedicated mic feature.
Software
Software components determine how great a phone is in terms of functionality. Here are the most crucial ones for the Vivo U20.
OS & features
The phone runs on a Funtouch OS 9.2 on top of the Android 9 Pie. It also has a couple of pre-installed apps that may be considered bloatware. Seeing that this is not the usual OS most users are accustomed to, it is possible that they experience some difficulties at first. Some of the common apps to expect include EasyShare, Gaana, GameCenter, Amazon Shopping, Dailyhunt, Opera and Helo among others. Not to worry though, you can always uninstall the ones you do not need to minimize the number of notifications you get.
Vivo U20 camera, video, and image quality
As usual, the manufacturer did not slack off when it comes to camera quality. The device has a triple rear camera consisting of one 16-megapixel primary camera. It has a Sony IMX499 sensor. The device also has a second camera, an 8-megapixel super-wide-angle camera, as well as a third one which is a 2-megapixel macro camera, used to take large images. The selfie camera is a 16MP single camera.
Vivo U20 review
Users of the device already have positive remarks about it. Here are a few sampled views from YouTube.
- Manjit Sarma: It's a good phone ! 5000mAh Battery with 18W Fast Charger is my favourite feature!
- Unonw U: super
Verdict
If you are looking for a reasonably priced phone that will give you value for money, then consider investing in the Vivo U20. This phone is not only pocket-friendly, but it will match most, if not all of your daily needs, more so if you are an average phone user. Furthermore, the phone is available in online stores and on Amazon, making it easier for anyone to purchase it.
The Vivo U20 is the real deal. Make a point of getting one and you will not regret. It comes highly recommended.


Lot's Of People Got Injured.
Take Strict Action Against This Riot.

We Can't Tolerate This Typological Incident In Our Nation.
Lot's Of People Got Injured.
Take Strict Action Against This Riot.


[Note: this document is formatted similarly to the SGI STL implementation documentation pages, and refers to concepts and classes defined there. However, neither this document nor the code it describes is associated with SGI, nor is it necessary to have SGI's STL implementation installed in order to use this class.]
A sparsetable is a Random Access Container that supports constant time random access to elements, and constant time insertion and removal of elements. It implements the "array" or "table" abstract data type. The number of elements in a sparsetable is set at constructor time, though you can change it at any time by calling resize().
sparsetable is distinguished from other array implementations, including the default C implementation, in its stingy use of memory -- in particular, unused array elements require only 1 bit of disk space to store, rather than sizeof(T) bytes -- and by the ability to save and restore contents to disk. On the other hand, this array implementation, while still efficient, is slower than other array implementations.
A sparsetable distinguishes between table elements that have been assigned and those that are unassigned. Assigned table elements are those that have had a value set via set(), operator(), assignment via an iterator, and so forth. Unassigned table elements are those that have not had a value set in one of these ways, or that have been explicitly unassigned via a call to erase() or clear(). Lookup is valid on both assigned and unassigned table elements; for unassigned elements, lookup returns the default value T().
This class is appropriate for applications that need to store large arrays in memory, or for applications that need these arrays to be persistent.
#include <google/sparsetable> using google::sparsetable; // namespace where class lives by default sparsetable<int> t(100); t[5] = 6; cout << "t[5] = " << t[5]; cout << "Default value = " << t[99];
| Parameter | Description | Default |
|---|---|---|
| T | The sparsetable's value type: the type of object that is stored in the table. | |
| GROUP_SIZE | The number of elements in each sparsetable group (see the implementation doc for more details on this value). This almost never need be specified; the default template parameter value works well in all situations. |
| Member | Where defined | Description |
|---|---|---|
| value_type | Container | The type of object, T, stored in the table. |
| pointer | Container | Pointer to T. |
| reference | Container | Reference to T. |
| const_reference | Container | Const reference to T. |
| size_type | Container | An unsigned integral type. |
| difference_type | Container | A signed integral type. |
| iterator | Container | Iterator used to iterate through a sparsetable. |
| const_iterator | Container | Const iterator used to iterate through a sparsetable. |
| reverse_iterator | Reversible Container | Iterator used to iterate backwards through a sparsetable. |
| const_reverse_iterator | Reversible Container | Const iterator used to iterate backwards through a sparsetable. |
| nonempty_iterator | sparsetable | Iterator used to iterate through the assigned elements of the sparsetable. |
| const_nonempty_iterator | sparsetable | Const iterator used to iterate through the assigned elements of the sparsetable. |
| reverse_nonempty_iterator | sparsetable | Iterator used to iterate backwards through the assigned elements of the sparsetable. |
| const_reverse_nonempty_iterator | sparsetable | Const iterator used to iterate backwards through the assigned elements of the sparsetable. |
| destructive_iterator | sparsetable | Iterator used to iterate through the assigned elements of the sparsetable, erasing elements as it iterates. [1] |
| iterator begin() | Container | Returns an iterator pointing to the beginning of the sparsetable. |
| iterator end() | Container | Returns an iterator pointing to the end of the sparsetable. |
| const_iterator begin() const | Container | Returns an const_iterator pointing to the beginning of the sparsetable. |
| const_iterator end() const | Container | Returns an const_iterator pointing to the end of the sparsetable. |
| reverse_iterator rbegin() | Reversible Container | Returns a reverse_iterator pointing to the beginning of the reversed sparsetable. |
| reverse_iterator rend() | Reversible Container | Returns a reverse_iterator pointing to the end of the reversed sparsetable. |
| const_reverse_iterator rbegin() const | Reversible Container | Returns a const_reverse_iterator pointing to the beginning of the reversed sparsetable. |
| const_reverse_iterator rend() const | Reversible Container | Returns a const_reverse_iterator pointing to the end of the reversed sparsetable. |
| nonempty_iterator nonempty_begin() | sparsetable | Returns a nonempty_iterator pointing to the first assigned element of the sparsetable. |
| nonempty_iterator nonempty_end() | sparsetable | Returns a nonempty_iterator pointing to the end of the sparsetable. |
| const_nonempty_iterator nonempty_begin() const | sparsetable | Returns a const_nonempty_iterator pointing to the first assigned element of the sparsetable. |
| const_nonempty_iterator nonempty_end() const | sparsetable | Returns a const_nonempty_iterator pointing to the end of the sparsetable. |
| reverse_nonempty_iterator nonempty_rbegin() | sparsetable | Returns a reverse_nonempty_iterator pointing to the first assigned element of the reversed sparsetable. |
| reverse_nonempty_iterator nonempty_rend() | sparsetable | Returns a reverse_nonempty_iterator pointing to the end of the reversed sparsetable. |
| const_reverse_nonempty_iterator nonempty_rbegin() const | sparsetable | Returns a const_reverse_nonempty_iterator pointing to the first assigned element of the reversed sparsetable. |
| const_reverse_nonempty_iterator nonempty_rend() const | sparsetable | Returns a const_reverse_nonempty_iterator pointing to the end of the reversed sparsetable. |
| destructive_iterator destructive_begin() | sparsetable | Returns a destructive_iterator pointing to the first assigned element of the sparsetable. |
| destructive_iterator destructive_end() | sparsetable | Returns a destructive_iterator pointing to the end of the sparsetable. |
| size_type size() const | Container | Returns the size of the sparsetable. |
| size_type max_size() const | Container | Returns the largest possible size of the sparsetable. |
| bool empty() const | Container | true if the sparsetable's size is 0. |
| size_type num_nonempty() const | sparsetable | Returns the number of sparsetable elements that are currently assigned. |
| sparsetable(size_type n) | Container | Creates a sparsetable with n elements. |
| sparsetable(const sparsetable&) | Container | The copy constructor. |
| ~sparsetable() | Container | The destructor. |
| sparsetable& operator=(const sparsetable&) | Container | The assignment operator |
| void swap(sparsetable&) | Container | Swaps the contents of two sparsetables. |
| reference operator[](size_type n) | Random Access Container | Returns the n'th element. [2] |
| const_reference operator[](size_type n) const | Random Access Container | Returns the n'th element. |
| bool test(size_type i) const | sparsetable | true if the i'th element of the sparsetable is assigned. |
| bool test(iterator pos) const | sparsetable | true if the sparsetable element pointed to by pos is assigned. |
| bool test(const_iterator pos) const | sparsetable | true if the sparsetable element pointed to by pos is assigned. |
| const_reference get(size_type i) const | sparsetable | returns the i'th element of the sparsetable. |
| reference set(size_type i, const_reference val) | sparsetable | Sets the i'th element of the sparsetable to value val. |
| void erase(size_type i) | sparsetable | Erases the i'th element of the sparsetable. |
| void erase(iterator pos) | sparsetable | Erases the element of the sparsetable pointed to by pos. |
| void erase(iterator first, iterator last) | sparsetable | Erases the elements of the sparsetable in the range [first, last). |
| void clear() | sparsetable | Erases all of the elements. |
| void resize(size_type n) | sparsetable | Changes the size of sparsetable to n. |
| bool write_metadata(FILE *fp) | sparsetable | See below. |
| bool read_metadata(FILE *fp) | sparsetable | See below. |
| bool write_nopointer_data(FILE *fp) | sparsetable | See below. |
| bool read_nopointer_data(FILE *fp) | sparsetable | See below. |
bool operator==(const sparsetable&, const sparsetable&) |
Forward Container | Tests two sparsetables for equality. This is a global function, not a member function. |
bool operator<(const sparsetable&, const sparsetable&) |
Forward Container | Lexicographical comparison. This is a global function, not a member function. |
| Member | Description |
|---|---|
| nonempty_iterator | Iterator used to iterate through the assigned elements of the sparsetable. |
| const_nonempty_iterator | Const iterator used to iterate through the assigned elements of the sparsetable. |
| reverse_nonempty_iterator | Iterator used to iterate backwards through the assigned elements of the sparsetable. |
| const_reverse_nonempty_iterator | Const iterator used to iterate backwards through the assigned elements of the sparsetable. |
| destructive_iterator | Iterator used to iterate through the assigned elements of the sparsetable, erasing elements as it iterates. [1] |
| nonempty_iterator nonempty_begin() | Returns a nonempty_iterator pointing to the first assigned element of the sparsetable. |
| nonempty_iterator nonempty_end() | Returns a nonempty_iterator pointing to the end of the sparsetable. |
| const_nonempty_iterator nonempty_begin() const | Returns a const_nonempty_iterator pointing to the first assigned element of the sparsetable. |
| const_nonempty_iterator nonempty_end() const | Returns a const_nonempty_iterator pointing to the end of the sparsetable. |
| reverse_nonempty_iterator nonempty_rbegin() | Returns a reverse_nonempty_iterator pointing to the first assigned element of the reversed sparsetable. |
| reverse_nonempty_iterator nonempty_rend() | Returns a reverse_nonempty_iterator pointing to the end of the reversed sparsetable. |
| const_reverse_nonempty_iterator nonempty_rbegin() const | Returns a const_reverse_nonempty_iterator pointing to the first assigned element of the reversed sparsetable. |
| const_reverse_nonempty_iterator nonempty_rend() const | Returns a const_reverse_nonempty_iterator pointing to the end of the reversed sparsetable. |
| destructive_iterator destructive_begin() | Returns a destructive_iterator pointing to the first assigned element of the sparsetable. |
| destructive_iterator destructive_end() | Returns a destructive_iterator pointing to the end of the sparsetable. |
| size_type num_nonempty() const | Returns the number of sparsetable elements that are currently assigned. |
| bool test(size_type i) const | true if the i'th element of the sparsetable is assigned. |
| bool test(iterator pos) const | true if the sparsetable element pointed to by pos is assigned. |
| bool test(const_iterator pos) const | true if the sparsetable element pointed to by pos is assigned. |
| const_reference get(size_type i) const | returns the i'th element of the sparsetable. If the i'th element is assigned, the assigned value is returned, otherwise, the default value T() is returned. |
| reference set(size_type i, const_reference val) | Sets the i'th element of the sparsetable to value val, and returns a reference to the i'th element of the table. This operation causes the i'th element to be assigned. |
| void erase(size_type i) | Erases the i'th element of the sparsetable. This operation causes the i'th element to be unassigned. |
| void erase(iterator pos) | Erases the element of the sparsetable pointed to by pos. This operation causes the i'th element to be unassigned. |
| void erase(iterator first, iterator last) | Erases the elements of the sparsetable in the range [first, last). This operation causes these elements to be unassigned. |
| void clear() | Erases all of the elements. This causes all elements to be unassigned. |
| void resize(size_type n) | Changes the size of sparsetable to n. If n is greater than the old size, new, unassigned elements are appended. If n is less than the old size, all elements in position >n are deleted. |
| bool write_metadata(FILE *fp) | Write hashtable metadata to fp. See below. |
| bool read_metadata(FILE *fp) | Read hashtable metadata from fp. See below. |
| bool write_nopointer_data(FILE *fp) | Write hashtable contents to fp. This is valid only if the hashtable key and value are "plain" data. See below. |
| bool read_nopointer_data(FILE *fp) | Read hashtable contents to fp. This is valid only if the hashtable key and value are "plain" data. See below. |
[1] sparsetable::destructive_iterator iterates through a sparsetable like a normal iterator, but ++it may delete the element being iterated past. Obviously, this iterator can only be used once on a given table! One application of this iterator is to copy data from a sparsetable to some other data structure without using extra memory to store the data in both places during the copy.
[2] Since operator[] might insert a new element into the sparsetable, it can't possibly be a const member function. In theory, since it might insert a new element, it should cause the element it refers to to become assigned. However, this is undesirable when operator[] is used to examine elements, rather than assign them. Thus, as an implementation trick, operator[] does not really return a reference. Instead it returns an object that behaves almost exactly like a reference. This object, however, delays setting the appropriate sparsetable element to assigned to when it is actually assigned to.
For a bit more detail: the object returned by operator[] is an opaque type which defines operator=, operator reference(), and operator&. The first operator controls assigning to the value. The second controls examining the value. The third controls pointing to the value.
All three operators perform exactly as an object of type reference would perform. The only problems that arise is when this object is accessed in situations where C++ cannot do the conversion by default. By far the most common situation is with variadic functions such as printf. In such situations, you may need to manually cast the object to the right type:
printf("%d", static_cast<typename table::reference>(table[i]));
It is possible to save and restore sparsetable objects to disk. Storage takes place in two steps. The first writes the table metadata. The second writes the actual data.
To write a sparsetable to disk, first call write_metadata() on an open file pointer. This saves the sparsetable information in a byte-order-independent format.
After the metadata has been written to disk, you must write the actual data stored in the sparsetable to disk. If the value is "simple" enough, you can do this by calling write_nopointer_data(). "Simple" data is data that can be safely copied to disk via fwrite(). Native C data types fall into this category, as do structs of native C data types. Pointers and STL objects do not.
Note that write_nopointer_data() does not do any endian conversion. Thus, it is only appropriate when you intend to read the data on the same endian architecture as you write the data.
If you cannot use write_nopointer_data() for any reason, you can write the data yourself by iterating over the sparsetable with a const_nonempty_iterator and writing the key and data in any manner you wish.
To read the hashtable information from disk, first you must create a sparsetable object. Then open a file pointer to point to the saved sparsetable, and call read_metadata(). If you saved the data via write_nopointer_data(), you can follow the read_metadata() call with a call to read_nopointer_data(). This is all that is needed.
If you saved the data through a custom write routine, you must call a custom read routine to read in the data. To do this, iterate over the sparsetable with a nonempty_iterator; this operation is sensical because the metadata has already been set up. For each iterator item, you can read the key and value from disk, and set it appropriately. The code might look like this:
for (sparsetable<int*>::nonempty_iterator it = t.nonempty_begin(); it != t.nonempty_end(); ++it) { *it = new int; fread(*it, sizeof(int), 1, fp); }
Here's another example, where the item stored in the sparsetable is a C++ object with a non-trivial constructor. In this case, you must use "placement new" to construct the object at the correct memory location.
for (sparsetable<ComplicatedCppClass>::nonempty_iterator it = t.nonempty_begin(); it != t.nonempty_end(); ++it) { int constructor_arg; // ComplicatedCppClass takes an int to construct fread(&constructor_arg, sizeof(int), 1, fp); new (&(*it)) ComplicatedCppClass(constructor_arg); // placement new }
The following are SGI STL concepts and classes related to sparsetable.
Container, Random Access Container, sparse_hash_set, sparse_hash_map


European Championships - 2014
Mixed Open
Round Games
| Pool A | P | W | L | D | B | FW | FL | + | - | +/- | % | Pts |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Scotland SCO | 3 | 2 | 0 | 0 | 1 | 0 | 0 | 26 | 4 | 22.000 | 650.00 | 6.000 |
| France FRA | 3 | 1 | 1 | 0 | 1 | 0 | 0 | 14 | 12 | 2.000 | 116.67 | 4.000 |
| Germany DEU | 3 | 0 | 2 | 0 | 1 | 0 | 0 | 3 | 27 | -24.000 | 11.11 | 2.000 |
| Pool B | P | W | L | D | B | FW | FL | + | - | +/- | % | Pts |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| England ENG | 3 | 3 | 0 | 0 | 0 | 0 | 0 | 52 | 7 | 45.000 | 742.86 | 9.000 |
| Netherlands NLD | 3 | 2 | 1 | 0 | 0 | 0 | 0 | 21 | 20 | 1.000 | 105.00 | 7.000 |
| Switzerland CHE | 3 | 1 | 2 | 0 | 0 | 0 | 0 | 19 | 28 | -9.000 | 67.86 | 5.000 |
| Catalonia CAT | 3 | 0 | 3 | 0 | 0 | 0 | 0 | 5 | 42 | -37.000 | 11.90 | 3.000 |
| Pool C | P | W | L | D | B | FW | FL | + | - | +/- | % | Pts |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Wales WAL | 3 | 3 | 0 | 0 | 0 | 0 | 0 | 32 | 10 | 22.000 | 320.00 | 9.000 |
| Jersey JEY | 3 | 2 | 1 | 0 | 0 | 0 | 0 | 25 | 12 | 13.000 | 208.33 | 7.000 |
| Italy ITA | 3 | 1 | 2 | 0 | 0 | 0 | 0 | 11 | 20 | -9.000 | 55.00 | 5.000 |
| Guernsey GGY | 3 | 0 | 3 | 0 | 0 | 0 | 0 | 7 | 33 | -26.000 | 21.21 | 3.000 |
Pool Stage
| Cup Pool | P | W | L | D | B | FW | FL | + | - | +/- | % | Pts |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Scotland SCO | 5 | 4 | 1 | 0 | 0 | 0 | 0 | 59 | 33 | 26.000 | 178.79 | 13.000 |
| England ENG | 5 | 4 | 1 | 0 | 0 | 0 | 0 | 48 | 28 | 20.000 | 171.43 | 13.000 |
| Wales WAL | 5 | 4 | 1 | 0 | 0 | 0 | 0 | 48 | 31 | 17.000 | 154.84 | 13.000 |
| Jersey JEY | 5 | 1 | 3 | 1 | 0 | 0 | 0 | 33 | 36 | -3.000 | 91.67 | 8.000 |
| France FRA | 5 | 1 | 3 | 1 | 0 | 0 | 0 | 34 | 47 | -13.000 | 72.34 | 8.000 |
| Netherlands NLD | 5 | 0 | 5 | 0 | 0 | 0 | 0 | 14 | 61 | -47.000 | 22.95 | 5.000 |
| Seeding Pool | P | W | L | D | B | FW | FL | + | - | +/- | % | Pts |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Italy ITA | 5 | 3 | 1 | 0 | 1 | 0 | 0 | 25 | 17 | 8.000 | 147.06 | 10.000 |
| Guernsey GGY | 5 | 3 | 1 | 0 | 1 | 0 | 0 | 21 | 19 | 2.000 | 110.53 | 10.000 |
| Germany DEU | 5 | 2 | 2 | 0 | 1 | 0 | 0 | 18 | 21 | -3.000 | 85.71 | 8.000 |
| Switzerland CHE | 5 | 1 | 3 | 0 | 1 | 0 | 0 | 20 | 21 | -1.000 | 95.24 | 6.000 |
| Catalonia CAT | 5 | 1 | 3 | 0 | 1 | 0 | 0 | 17 | 23 | -6.000 | 73.91 | 6.000 |
Round Games
7 Aug 2014
| Round 1 | 9:00 a.m. 9:00 | Field 1 F1 | Wales WAL | 14 | vs | 3 | Guernsey GGY | |
| 9:00 a.m. 9:00 | Field 6 F6 | Scotland SCO | 16 | vs | 1 | Germany DEU | ||
| 9:00 a.m. 9:00 | Field 7 F7 | Jersey JEY | 7 | vs | 3 | Italy ITA | ||
| 9:50 a.m. 9:50 | Field 7 F7 | England ENG | 21 | vs | 1 | Catalonia CAT | ||
| 9:50 a.m. 9:50 | Field 8 F8 | Switzerland CHE | 5 | vs | 8 | Netherlands NLD | ||
| Round 2 | 12:20 p.m. 12:20 | Field 2 F2 | Jersey JEY | 14 | vs | 2 | Guernsey GGY | |
| 12:20 p.m. 12:20 | Field 3 F3 | France FRA | 11 | vs | 2 | Germany DEU | ||
| 12:20 p.m. 12:20 | Field 5 F5 | Wales WAL | 11 | vs | 3 | Italy ITA | ||
| 1:10 p.m. 13:10 | Field 4 F4 | England ENG | 14 | vs | 5 | Netherlands NLD | ||
| 1:10 p.m. 13:10 | Field 5 F5 | Switzerland CHE | 13 | vs | 3 | Catalonia CAT | ||
| Round 3 | 3:40 p.m. 15:40 | Field 2 F2 | Wales WAL | 7 | vs | 4 | Jersey JEY | |
| 3:40 p.m. 15:40 | Field 7 F7 | Guernsey GGY | 2 | vs | 5 | Italy ITA | ||
| 4:30 p.m. 16:30 | Field 4 F4 | Scotland SCO | 10 | vs | 3 | France FRA | ||
| 4:30 p.m. 16:30 | Field 8 F8 | Netherlands NLD | 8 | vs | 1 | Catalonia CAT | ||
| 5:20 p.m. 17:20 | Field 6 F6 | England ENG | 17 | vs | 1 | Switzerland CHE |
Pool Stage
8 Aug 2014
| Round 1 | 9:50 a.m. 9:50 | Field 4 F4 | Scotland SCO | 14 | vs | 2 | Netherlands NLD | |
| 9:50 a.m. 9:50 | Field 8 F8 | France FRA | 5 | vs | 14 | Wales WAL | ||
| 9:50 a.m. 9:50 | Field 9 F9 | England ENG | 7 | vs | 4 | Jersey JEY | ||
| 10:40 a.m. 10:40 | Field 8 F8 | Germany DEU | 6 | vs | 5 | Switzerland CHE | ||
| 10:40 a.m. 10:40 | Field 9 F9 | Catalonia CAT | 4 | vs | 7 | Italy ITA | ||
| Round 2 | 12:20 p.m. 12:20 | Field 2 F2 | Scotland SCO | 12 | vs | 7 | Jersey JEY | |
| 12:20 p.m. 12:20 | Field 3 F3 | France FRA | 13 | vs | 2 | Netherlands NLD | ||
| 12:20 p.m. 12:20 | Field 9 F9 | England ENG | 11 | vs | 5 | Wales WAL | ||
| 1:10 p.m. 13:10 | Field 7 F7 | Germany DEU | 4 | vs | 9 | Italy ITA | ||
| 1:10 p.m. 13:10 | Field 8 F8 | Switzerland CHE | 4 | vs | 6 | Guernsey GGY | ||
| Round 3 | 2:50 p.m. 14:50 | Field 1 F1 | Scotland SCO | 9 | vs | 8 | England ENG | |
| 2:50 p.m. 14:50 | Field 6 F6 | Netherlands NLD | 3 | vs | 9 | Wales WAL | ||
| 2:50 p.m. 14:50 | Field 7 F7 | France FRA | 7 | vs | 7 | Jersey JEY | ||
| 3:40 p.m. 15:40 | Field 4 F4 | Germany DEU | 4 | vs | 2 | Catalonia CAT | ||
| 3:40 p.m. 15:40 | Field 5 F5 | Italy ITA | 4 | vs | 6 | Guernsey GGY |
9 Aug 2014
| Round 4 | 9:50 a.m. 9:50 | Field 7 F7 | Germany DEU | 4 | vs | 5 | Guernsey GGY | |
| 9:50 a.m. 9:50 | Field 8 F8 | Switzerland CHE | 8 | vs | 4 | Catalonia CAT | ||
| 10:40 a.m. 10:40 | Field 7 F7 | Scotland SCO | 16 | vs | 4 | France FRA | ||
| 10:40 a.m. 10:40 | Field 8 F8 | England ENG | 14 | vs | 5 | Netherlands NLD | ||
| 10:40 a.m. 10:40 | Field 9 F9 | Wales WAL | 8 | vs | 4 | Jersey JEY | ||
| Round 5 | 1:10 p.m. 13:10 | Field 1 F1 | Scotland SCO | 8 | vs | 12 | Wales WAL | |
| 1:10 p.m. 13:10 | Field 4 F4 | Netherlands NLD | 2 | vs | 11 | Jersey JEY | ||
| 1:10 p.m. 13:10 | Field 5 F5 | France FRA | 5 | vs | 8 | England ENG | ||
| 2:00 p.m. 14:00 | Field 4 F4 | Switzerland CHE | 3 | vs | 5 | Italy ITA | ||
| 2:00 p.m. 14:00 | Field 5 F5 | Catalonia CAT | 7 | vs | 4 | Guernsey GGY |
Finals
9 Aug 2014
| 9th/10th/11th | 4:50 p.m. 16:50 | Field 7 F7 | Switzerland CHE | 5 | vs | 5 | Catalonia CAT | |
| Seeding Semi Final 1 | 5:40 p.m. 17:40 | Field 3 F3 | France FRA | 9 | vs | 1 | Guernsey GGY | |
| Seeding Semi Final 2 | 5:40 p.m. 17:40 | Field 4 F4 | Netherlands NLD | 11 | vs | 8 | Italy ITA |
10 Aug 2014
| 7th/8th Playoff | 9:30 a.m. 9:30 | Field 7 F7 | Guernsey GGY | 7 | vs | 8 | Italy ITA | |
| 9th/10th/11th | 10:30 a.m. 10:30 | Field 7 F7 | Germany DEU | 6 | vs | 3 | Catalonia CAT | |
| 5th/6th Playoff | 12:30 p.m. 12:30 | Field 4 F4 | France FRA | 10 | vs | 3 | Netherlands NLD | |
| Semi Final 1 | 11:30 a.m. 11:30 | Field 1 F1 | Scotland SCO | 17 | vs | 8 | Jersey JEY | |
| Semi Final 2 | 11:30 a.m. 11:30 | Field 2 F2 | England ENG | 8 | vs | 5 | Wales WAL | |
| 9th/10th/11th | 1:30 p.m. 13:30 | Field 5 F5 | Germany DEU | 5 | vs | 4 | Switzerland CHE | |
| Bronze Final | 2:30 p.m. 14:30 | Field 3 F3 | Jersey JEY | 7 | vs | 10 | Wales WAL | |
| Final | 5:30 p.m. 17:30 | Field 1 F1 | Scotland SCO | 8 | vs | 6 | England ENG |


The web is a series of networks that link your computer to other computers and servers. Using a web browser from your personal computer, you can type in url link to a webpage and a signal (HTTP Request) is sent through your internet provider and routed to the server that is hosting that webpage. The server retrieves the appropriate HTML document and returns it to your computer, where the browswer reads it.
Most content on the internet is made up of HTML. It contains tags, elements, and attributes. HTML is the language of your browser. It contains text and markup (how it looks).
Tags are names surrounded by "< >" which define the content inside and tell it what to do. Attributes are values inside the opening tag that provide additional instructions for the content. Some examples of tags and attributes are b for boldb>, em for italics, a href = for links, and br for
breaks
Elements are groupings of HTML code. Individual tags can be an element, or the entire body can be one.
HTML can be displayed in either


API key:
Retrieve contracts
Contracts:
Retreive Contract Stations
Lat:
Lng:
Retreive Contract Stations


Book Name
Author
Pages
Read Status
Delete Book
Add Book
Book Name
Author
Pages
Read Status:
Read
Have Not Read
In Progress