Man gets £3,500 added to car insurance because he took a night shift at Tesco
They're meant to save you cash, but you need to check the small print or could be landed with a massive bill as a result of getting a car insurance black box installed in your car, warns consumer lawyer Dean Dunham
by Dean Dunham, https://www.mirror.co.uk/authors/dean-dunham/Teenagers behind the wheel is a scary thought but the cost of insuring them can be even more terrifying.
Getting a black box installed in their car, which relays driving information and statistics back to the insurer, can save a packet.
The insurer then calculates the premiums based on this and can offer lower premiums if you demonstrate safe driving.
This telematics box takes account of speed, cornering, braking, acceleration and can even detect accidents.
Black box insurance sounds good for everyone, especially young and new drivers, but some readers have told me there are major flaws you need to be aware of.
18-year-old Sue took out a black box policy because it was far cheaper than conventional insurance at the time.
In May she received a call from the insurer asking if she was OK because the black box recorded that her vehicle had been in an accident.
But Sue had not been involved in any incident on the road and explained this.
Still, two days later, the same thing happened.
Sue, from Canterbury, again explained there had been no accident. When it happened for a third time, the insurer cancelled the policy, stating the reason as the failure to report an accident.
17-year-old Justin thought it made sense for him to take out a black box policy after he passed his driving test.
After eight months he received a letter saying his premium was being increased by £3,500 due to his negative driving score.
When he looked into this it emerged that he had been penalised for driving at night, something he did four days a week because he had a night job working for Tesco.
Justin, from Leeds, is furious and says this was not clearly explained to him when he took out the policy.
19-year-old Lisa took out a black box policy and now regrets it.
Four months in, she changed her car and Lisa, from Ashford in Kent, was landed with a £100 bill from the insurer for moving the box to her new motor.
- Dean's Top tip: Before taking out a black box policy, read the terms very carefully so you know what has a negative impact, such as night driving. If you have a dispute with your insurer, lodge a claim with the Financial Ombudsman Service – they have had numerous complaints.
See more tips from Dean at theconsumerlawyer.blog


Game Of Thrones snubbed from Golden Globes 2020 again with only one nomination
by Tilly PearceGame Of Thrones’ final season has been sensationally snubbed from this year’s Golden Globes nominations – meaning it will now never win the Drama TV series gong.
The show has been previously nominated five times for the award, but has been pipped at the post every time by other shows in their categories.
After failing to get a nomination last year either, this upcoming 2020 ceremony was the last time the HBO fantasy series would qualify – and instead it missed out.
Big Little Lies, The Crown, Killing Eve, The Morning Show and Succession will now battle it out for the award instead.
In previous years, Game Of Thrones has been beaten by Handmaid’s Tale (2017), The Crown (2016), Mr Robot (2015), The Affair (2014) and Homeland (2012).
While the series as a whole has been passed by, one of the actors have been given a nod by the board, with Kit Harington up for Best Actor Award for his role as Jon Snow.
After getting used to facing white walkers and the Battle of the Bastards, surely Tobias Menzies (The Crown), Billy Porter (Pose), Brian Cox (Succession) and Rami Malek (Mr Robot) will be a breeze?
But apart from that, that’s it for the former reigning champion of epic TV.
Meanwhile, Chernobyl has been given four nominations, and The Crown and Fleabag have three each.
Full nominations are here:
Golden Globes 2020 nominations
FILM CATEGORIES
Best Motion Picture - Drama
1917
Marriage Story
Joker
The Two Popes
The Irishman
Best Motion Picture - Comedy/Musical
Dolemite Is My Name
Once Upon A Time In Hollywood
Knives Out
Rocketman
Jojo Rabbit
Best Performance by an Actor in a Motion Picture – Drama
Adam Driver (Marriage Story)
Joaquin Phoenix (Joker)
Jonathan Pryce (The Two Popes)
Antonio Banderas (Pain and Glory)
Christian Bale (Ford v Ferrari)
Best Performance by an Actress in a Motion Picture – Drama
Scarlett Johansson (Marriage Story)
Charlize Theron (Bombshell)
Renee Zellwegger (Judy)
Cynthia Erivo (Harriet)
Saoirse Ronan (Little Women)
Best Performance by an Actor in a Motion Picture – Musical or Comedy
Daniel Craig (Knives Out)
Roman Griffin Davis (Jojo Rabbit)
Leonardo DiCaprio (Once Upon A Time In Hollywood)
Taron Egerton (Rocketman)
Eddie Murphy (Dolemite Is My Name)
Best Performance by an Actress in a Motion Picture – Musical or Comedy
Ana de Armas (Knives Out)
Awkwafina (The Farewell)
Cate Blanchett (Where'd You Go Bernadette)
Beanie Feldstein (Booksmart)
Emma Thompson (Late Night)
Best Performance by an Actor in a Supporting Role in Any Motion Picture
Tom Hanks (A Beautiful Day In The Neighbourhood)
Anthony Hopkins (The Two Popes)
Al Pacino (The Irishman)
Brad Pitt (Once Upon A Time In Hollywood)
Joe Pesci (The Irishman)
Best Performance by an Actress in a Supporting Role in Any Motion Picture
Kathy Bates (Richard Jewell)
Annette Bening (The Report)
Laura Dern (Marriage Story)
Jennifer Lopez (Hustlers)
Margot Robbie (Bombshell)
Best Director – Motion Picture
Todd Phillips (Joker)
Martin Scorcese (The Irishman)
Quentin Tarantino (Once Upon A Time In Hollywood)
Bong Joon Ho (Parasite)
Sam Mendes (1917)
Best Screenplay – Motion Picture
Marriage Story
Parasite
The Two Popes
Once Upon A Time In Hollywood
The Irishman
Best Original Score – Motion Picture
Motherless Brooklyn
Little Women
Joker
1917
Marriage Story
Best Original Song – Motion Picture
Beautiful Ghosts (Cats)
I'm Gonna Love Me Again (Rocketman)
Into The Unknown (Frozen 2)
Spirit (The Lion King)
Stand Up (Harriet)
Best Animated Feature Film
Frozen 2
The Lion King
Missing Link
Toy Story 4
How To Train Your Dragon: The Hidden World
Best Foreign-Language Film
The Farewell
Les Miserables
Pain and Glory
Portrait of a Lady on Fire
Parasite
TV CATEGORIES
Best Television Series - Drama
Big Little Lies
The Crown
Killing Eve
Sucecssion
The Morning Show
Best Television Series - Musical or Comedy
Fleabag
The Komiskey Method
The Politician
Barry
The Marvellous Mrs Maisel
Best Miniseries or Television Film
Chernobyl
Catch 22
Fosse/Verdon
The Loudest Voice
Unbelievable
Best Actor - Television Series Drama
Kit Harington (Game Of Thrones)
Tobias Menzes (The Crown)
Billy Porter (Pose)
Brian Cox (Succession)
Rami Malek (Mr Robot)
Best Actor - Television Series Musical or Comedy
Michael Douglas (The Kominsky Method)
Bill Hader (Barry)
Ben Platt (The Politician)
Paul Rudd (Living With Yourself)
Ramy Youssef (Ramy)
Best Actor - Miniseries or Television Film
Jared Harris (Chernobyl)
Christopher Abbott (Catch 22)
Sacha Baron Cohen (The Spy)
Russell Crowe (The Loudest Voice)
Sam Rockwell (Fosse/Verdon)
Best Actress - Television Series Drama
Jennifer Aniston (The Morning Show)
Olivia Colman (The Crown)
Jodie Comer (Killing Eve)
Nicole Kidman (Big Little Lies)
Reese Witherspoon (The Morning Show)
Best Actress Television Series Musical or Comedy
Christina Applegate (Dead To Me)
Rachel Brosnahan (The Marvellous Mrs Maisel)
Kirsten Dunst (On Becoming A God in Central Florida)
Natasha Lyonne (Russian Doll)
Phoebe Waller-Bridge (Fleabag)
Best Actress - Miniseries or Television Film
Kaitlyn Dever (Unbelievable)
Joey King (The Act)
Helen Mirren (Catherine The Great)
Merrit Weaver (Unbelievable)
Michelle Williams (Fosse/Verdon)
Best Supporting Actor
Alan Arkin (The Komisky Method)
Kieran Culkin (Succession)
Andrew Scott (Fleabag)
Henry Winkler (Barry)
Stellan Skarsgaard (Chernobyl)
Best Supporting Actress
Patricia Arquette (The Act)
Helena Bonham Carter (The Crown)
Meryl Streep (Big Little Lies)
Emily Watson (Chernobyl)
Toni Collette (Unbelievable)
Got a showbiz story?
If you've got a celebrity story, video or pictures get in touch with the Metro.co.uk entertainment team by emailing us<EMAIL_ADDRESS>calling 020 3615 2145 or by visiting our Submit Stuff page - we'd love to hear from you.


App
Next.js uses the App
component to initialize pages. You can override it and control the page initialization. Which allows you to do amazing things like:
componentDidCatch
To override the default App
, create the file ./pages/_app.js
as shown below:
// import App from 'next/app'
function MyApp({ Component, pageProps }) {
return <Component {...pageProps} />;
}
// Only uncomment this method if you have blocking data requirements for
// every single page in your application. This disables the ability to
// perform automatic static optimization, causing every page in your app to
// be server-side rendered.
//
// MyApp.getInitialProps = async (appContext) => {
// // calls page's `getInitialProps` and fills `appProps.pageProps`
// const appProps = await App.getInitialProps(appContext);
//
// return { ...appProps }
// }
export default MyApp;
The Component
prop is the active page
, so whenever you navigate between routes, Component
will change to the new page
. Therefore, any props you send to Component
will be received by the page
.
pageProps
is an object with the initial props that were preloaded for your page by one of our data fetching methods, otherwise it’s an empty object.
App
, you’ll need to restart the development server. Only required if pages/_app.js
didn’t exist before.getInitialProps
in your App
will disable Automatic Static Optimization in pages without Static Generation.getInitialProps
in your custom app, you must import App from "next/app"
, call App.getInitialProps(appContext)
inside getInitialProps
and merge the returned object into the return value.App
currently does not support Next.js Data Fetching methods like getStaticProps
or getServerSideProps
.If you’re using TypeScript, take a look at our TypeScript documentation.
For more information on what to do next, we recommend the following sections:


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Class-Based Views¶
Django-Mako-Plus supports Django’s class-based view concept. You can read more about this pattern in the Django documentation. If you are using view classes, DMP automatically detects and adjusts accordingly. If you are using regular function-based views, skip this section for now.
With DMP, your class-based view will be discovered via request url, so you have to name your class accordingly. In keeping with the rest of DMP, the default class name in a file should be named class process_request()
. Consider the following index.py
file:
from django.conf import settings
from django.http import HttpResponse
from django.views.generic import View
from datetime import datetime
class process_request(View):
def get(self, request):
context = {
'now': datetime.now().strftime(request.dmp.urlparams[0] if request.dmp.urlparams[0] else '%H:%M'),
}
return request.dmp.render('index.html', context)
class discovery_section(View):
def get(self, request):
return HttpResponse('Get was called.')
def post(self, request):
return HttpResponse('Post was called.')
In the above index.py
file, two class-based views are defined. The first is called with the url /homepage/index/
. The second is called with the url /homepage/index.discovery_section/
.
Hey! Where’s @view_function?¶
In contrast with normal function-based routing, class-based views do not require the @view_function
decorator, which provides security on which functions are web-accessible. Since class-based views must extend django.views.generic.View, the security provided by the decorator is already provided. DMP assumes that any extension of View will be accessible.
One case where you might want to decorate your class-based endpoints is when using keyword arguments. Here’s an example of what that might look like:
from django.views.generic import View
class process_request(View):
@view_function(vogon="Poetry", answer=42)
def get(self, request):
return request.dmp.render('index.html', {})
Naming Conventions¶
Python programmers usually use TitleCaseClassName (capitalized words) for class names. In the above classes, I’m instead using all lowercase (which is the style for function and ariable names) so my URL doesn’t have uppercase characters in it. If you’d rather use TitleCaseClassName, such as class DiscoverySection
, be sure your URL matches it, such as http://yourserver.com/homepage/index.DiscoverySection/
.


--- title: About Smart Grid Use Cases linkTitle: About menu: main: weight: 10 --- {{< blocks/cover title="About Smart Grid Use Cases" image_anchor="bottom" height="min" >}}
A use case repository for smart grids.
{{< /blocks/cover >}} {{% blocks/lead %}} Use cases can be defined in various formats: Excel, XML, Markdown {{% /blocks/lead %}} {{< blocks/section color="dark" >}} {{< /blocks/section >}}


--- layout: post status: publish published: true title: A Twig Jam in the Infield - Podcast Episode 6.05 author: display_name: Corey Fineran login: Corey email<EMAIL_ADDRESS>url: '' author_login: Corey author_email<EMAIL_ADDRESS>wordpress_id: 9084 wordpress_url: http://ivyenvy.com/?p=9084 date: '2014-03-17 00:32:11 +0000' date_gmt: '2014-03-17 05:32:11 +0000' categories: - Podcast - Spring Training tags: - Felix Pie - Darwin Barney - Junior Lake - Shawon Dunston Jr - Anthony Rizzo - Travis Wood - Mike Olt - James McDonald - Emilio Bonafacio - Tsuyoshi Wada - Luis Valbuna - Donnie Murphy comments: - id: 10399 author: Cubs Spring Training Injuries Update - Ivy Envy author_email: '' author_url: http://ivyenvy.com/cubs-spring-training-injuries-update/ date: '2014-03-18 14:01:53 +0000' date_gmt: '2014-03-18 19:01:53 +0000' content: "[…] McDonald, the player it looked like would replace Arietta in the rotation. As we talked about on this week’s episode of the podcast, Jimmy Mac has not been #RippinLips this spring. […]" - id: 10409 author: 'Baez Hits a #BaezBomb & Bonafacio Manufactures - Ivy Envy' author_email: '' author_url: http://ivyenvy.com/baez-hits-another-bomb-bonafacio-manufactures/ date: '2014-03-20 07:33:14 +0000' date_gmt: '2014-03-20 12:33:14 +0000' content: "[…] really struggle to score runs. It will be real interesting to see how things work out with this twig jam (as opposed to a log jam) in the infield to start the 2014 […]" - id: 10410 author: 'Another #BaezBomb & Bonafacio Manufactures - Ivy Envy' author_email: '' author_url: http://ivyenvy.com/another-baezbomb-bonafacio-manufactures/ date: '2014-03-20 07:37:41 +0000' date_gmt: '2014-03-20 12:37:41 +0000' content: "[…] really struggle to score runs. It will be real interesting to see how things work out with this twig jam (as opposed to a log jam) in the infield to start the 2014 […]" ---
Andy, Corey and Kurt discuss the last week in Chicago Cubs Spring Training, specifically the Cubs games that have been televised in the last week. What's up with James McDonald? It's going to be tough seeing him step into the starting rotation when he can't seem to the plate. Tsuyoshi Wada wasn't any easier to watch in Saturday's game. Anthony Rizzo is quietly bouncing back from his 2013 performance. We talk about the role Rizzo may play in the future compared to the role he's played these last few years.
Andy runs through the non-roster guys and where they may fit in with the Cubs. This brings up the inevitable infield discussion with Emilio Bonafacio. If Mike Olt wins the 3rd base job, what does that mean for Valbuena and Murphy and how does it impact the Bonafacio/Darwin Barney situation. And really...what is going to happen to Darwin Barney? Remember Starlin Castro? Well, Kurt tells us what is going on with that 7-10 day injury that was now two weeks ago.
We answer some listener questions on Mike Olt, pie, a possible snowed out Opening Day, Junior Lake, Travis Wood and Shawon Dunston Jr.
Corey talks about a real-life muscle flex and we read an internet muscle flex, submitted by Tim. We read through the photo caption contests and choose Matt as the winner.
If you are interested in joining the Ivy Envy Fantasy Baseball League, email<EMAIL_ADDRESS>At the beginning of the episode, we talked about a few events that are coming up this year. More information on the Ivy Envy Iowa Cubs Game Meet-up and the 2nd Annual Ivy Envy Weekend at the Lake will be posted on those pages.
If you would like to help support our podcast, on this episode we explain our Patreon campaign. Help us pay our bills and get some sweet Ivy Envy and Cubs swag. Check it all out on our Patreon campaign page.


geomesa-process¶
The following analytic processes are available and optimized on GeoMesa data stores.
DensityProcess
- computes a density heatmap for a CQL queryStatsIteratorProcess
- calculates various stats for a CQL queryTubeSelectProcess
- performs a correlated search across time/space dimensionsProximitySearchProcess
- performs a nearest neighbor searchQueryProcess
- optimizes GeoMesa queries in WPS chainsKNearestNeighborSearchProcess
- performs a KNN searchUniqueProcess
- identifies unique values for an attribute in results of a CQL query
Installation¶
To install the GeoMesa processes, first deploy the main GeoMesa
GeoServer plugin in ${GEOSERVER_HOME}/WEB-INF/lib
. Then copy the
geomesa-process-accumulo1.5-${VERSION}.jar
into the same directory.


Connect
Broadcast
Stats
Server
Connected Clients:
N/A
Admin Clients:
N/A
Messages
Messages Sent:
N/A
Messages Acked:
N/A
Messages Rate:
N/A
id
sent
acked
size
time
message rate
data rate
Data
Bytes Sent:
N/A
Data Rate:
N/A


| Vehicle No. | Total Weight (Vehicle+Goods in MT) | Gross Weight of Commodity (MT) (incl. of gunnies) | Weight of Empty Vehicle(MT) | No. of Bags | Weighbridge name & slip No | Gate Pass No. | Name of Supplier/Agent. | Location of Supplier/Agent. |
|---|---|---|---|---|---|---|---|---|
| Dip digging | 19.500 | 0.000 | 19.500 | 300 | 300 | Dip digging | Dip digging | Dip digging |
| Total | 19.500 | 19.500 | 19.500 |
| Godown No. | No. of Bags | No. Stack No. | Lot No. | Stnd Weight Per Bag.(incl. of Gunnies) | Truck Number/Supplier Name as per the requirement of CMPs. |
|---|---|---|---|---|---|
| 1 | 19 | 1 | 19 | 300 | Dip digging |
| Total | 190 |


Hamilton adamant that he didn't join F1 for the money
by Tom MasonLewis Hamilton has won six world championships now but is sure that he's not in the sport for the money. The Brit has won 83 races as a driver and he will go down as one of the greatest ever drivers.
"The thing is I never got into it for money. "Of course it is great that piles up - no problem. That is a bonus," Hamilton told BBC Sport.
"As long as those things don't become the lead factor of what I do.
"The core of what I do is that I love racing. I love the challenge. I love arriving knowing I have got these incredibly talented youngsters who are trying to beat me and outperform me, outsmart me, and I love that battle that I get into every single year.
"And I am working with these guys [his Mercedes engineers] who are so much smarter than me and they make me feel smarter. When I am challenging them and proving them wrong so many times, it is unreal."
Hamilton has collected ten wins in 2019, which has resulted in him picking up 387 points to be well clear at the top of the standings.


opentelemetry
Skyline webapp can be configured to send opentelemetry traces to Jaeger or the opentelemetry collector (otelcol).
Currently only the webapp is instrumented with traces for a number of reasons.
It is experimenting with opentelemetry.
Given the nature of Skyline itself, it is assumed that metrics will already be being collected for all the Skyline components such as Redis, MariaDB and memcached via other instrumentation such as Telegraf and being fed to Skyline already. Therefore instrumenting traces from the other Skyline apps could be seen as duplication because there will already be monitoring of metrics on things like Redis cmd timings, etc.
Monitoring observability data
Skyline is not only experimenting with the addition of traces but also the ingestion of opentelemetry OTLP trace data via Flux and converting service/method timings and trace counts into aggregated metrics. With a view to handle OTLP metrics and logging when they became stable.
This experiment is being done to determine whether it is useful to monitor and anomaly detect on the observability data itself.
Proceed with caution
Should you wish to experiment with Flux trace to metric conversions in your own apllication/s first assess the total number of Service and Operation counts in Jaegar. And be very aware that instrumentation telemetry has the ability change to high cardinality if something in your application design changes.
Skyline opentelemetry experimental architecture
Although Skyline webapp can send traces directly to Jaeger, the experimental set up is using the opentelemetry collector as a router to send trace data to both Jaeger and Flux.
webapp -> opentelemetry JaegerExporter -> otelcol |-> Jaeger
|-> Flux
On receiving trace data Flux will automatically aggregate traces and send the trace timings and trace counts per method as metrics to Graphite. In terms of monitoring these metrics we want to monitor them as last known value metrics. These are similar to statsd gauge type metrics, which means that in the analysis stages, a metric will maintain its last value until a new one is received. This results in monitoring the behaviour of the timings and trace counts, rather than the frequency. This method allows for the monitoring of the behaviour of the methods rather than their frequency.
This allows for the identification of significant changes in either the time taken for a method/s to complete and the number of traces in a method, e.g. the number of methods called by a method.
For example let us say the skyline.webapp/rebrow/keys method makes on average 8 GET Redis method calls and we introduce a change to determine the size of each key returned and this results in the method making 116 GET Redis method calls, Skyline will trigger an anomaly and alert on that change. The same is true for method timings.
The objective here being to monitor the behaviour of the methods in the traces rather than the frequency of the methods.
It must be stated that this suited to situations where traces fairly frequently, at least a few times a day. If trace data is sent less than once per day this analysis method will not detect changes those methods as there is insufficient data.
Configuration
To achieve the following you need Skyline/flux, Jaeger and otelcol all running on the same server. Although if you have your own otelcol or Jaeger set up you can configure this as it suits your set up.
opentelemetry trace from webapp can be enabled via settings.py under the opentelemetry settings section:
settings.OTEL_ENABLED
to enable traces from the webappsettings.FLUX_OTEL_ENABLED
to enable Flux to accept OTLP traces from otelcol and convert them into metrics which will be namespaced asotel.traces.skyline.webapp.*
settings.LAST_KNOWN_VALUE_NAMESPACES
if you wish to monitor otel trace ensure that theotel.traces
namespace is declared in this setting.
Further to this the OTEL_EXPORTER_JAEGER_AGENT_SPLIT_OVERSIZED_BATCHES
ENV
variable must be set to prevent the opentelemetry.exporter.jaeger.thrift
JaegerExporter from warning that Data exceeds the max UDP packet size and losing
data on large traces.
Therefore ensure that your systemd service file has the following declared:
Environment=OTEL_EXPORTER_JAEGER_AGENT_SPLIT_OVERSIZED_BATCHES=True
If you start the web service differently ensure that the ENV variable is set:
export OTEL_EXPORTER_JAEGER_AGENT_SPLIT_OVERSIZED_BATCHES="True"
The general installation of otelcol and Jaeger is not covered here see the respective documentation for each: https://www.jaegertracing.io/docs https://opentelemetry.io/docs/collector/
Skyline specific configurations for otelcol and Jaeger are as follows.
For an example config.yaml for otelcol to achieve the described set up see: https://github.com/earthgecko/skyline/blob/master/etc/otel.config.yaml.example
It is possible to serve Jaeger authenticated via the Skyline nginx config as a Skyline endpoint if you do not want to expose Jaeger or set up an another vhost to handle Jaeger individually. See: https://github.com/earthgecko/skyline/blob/master/etc/skyline.nginx.conf.d.example
This assumes that there is a local instance of Jaeger running with mostly default
Jaeger configuration. However do note if you want to serve Jaeger via the
Skyline UI --query.base-path=/jaeger
must be specified, e.g. an all-in-one
instance with memory-mode:
/opt/jaeger/jaeger-1.32.0-linux-amd64/jaeger-all-in-one --memory.max-traces 10000 --query.base-path=/jaeger >> /var/log/jaeger.log 2>&1 &
Future plans
Tracing will be added to the other Skyline apps as appropriate. One possible use case is instrumenting SQL traces because the granular timings on SQL queries is not something that the current MariaDB metrics cover in a manner which can be easily monitored.
Currently the Redis metric instrumentation is sufficient to monitor the timings of all Redis methods in use and therefore to reduce bloat, tracing instrumentation will probably not be implemented in the Redis methods context in any other apps apart from the webapp itself.


1 Oh hai. In teh beginnin Ceiling Cat maded teh skiez An da Urfs, but he did not eated dem.
2 Da Urfs no had shapez An haded dark face, An Ceiling Cat rode invisible bike over teh waterz.
3 At start, no has lyte. An Ceiling Cat sayz, i can haz lite? An lite wuz.4 An Ceiling Cat sawed teh lite, to seez stuffs, An splitted teh lite from dark but taht wuz ok cuz kittehs can see in teh dark An not tripz over nethin.5 An Ceiling Cat sayed light Day An dark no Day. It were FURST!!!1
6 An Ceiling Cat sayed, im in ur waterz makin a ceiling. But he no yet make a ur. An he maded a hole in teh Ceiling.7 An Ceiling Cat doed teh skiez with waterz down An waterz up. It happen.8 An Ceiling Cat sayed, i can has teh firmmint wich iz funny bibel naim 4 ceiling, so wuz teh twoth day.
9 An Ceiling Cat gotted all teh waterz in ur base, An Ceiling Cat hadz dry placez cuz kittehs DO NOT WANT get wet.10 An Ceiling Cat called no waterz urth and waters oshun. Iz good.
11 An Ceiling Cat sayed, DO WANT grass! so tehr wuz seedz An stufs, An fruitzors An vegbatels. An a Corm. It happen.12 An Ceiling Cat sawed that weedz ish good, so, letz there be weedz.13 An so teh threeth day jazzhands.
14 An Ceiling Cat sayed, i can has lightz in the skiez for splittin day An no day.
15 It happen, lights everwear, like christmass, srsly.16 An Ceiling Cat doeth two grate lightz, teh most big for day, teh other for no day.17 An Ceiling Cat screw tehm on skiez, with big nails An stuff, to lite teh Urfs.18 An tehy rulez day An night. Ceiling Cat sawed. Iz good.19 An so teh furth day w00t.
20 An Ceiling Cat sayed, waterz bring me phishes, An burds, so kittehs can eat dem. But Ceiling Cat no eated dem.21 An Ceiling Cat maed big fishies An see monstrs, which wuz like big cows, except they no mood, An other stuffs dat mooves, An Ceiling Cat sawed iz good.22 An Ceiling Cat sed O hai, make bebehs kthx. An dont worry i wont watch u secksy, i not that kynd uf kitteh.23 An so teh...fith day. Ceiling Cat taek a wile 2 cawnt.
24 An Ceiling Cat sayed, i can has MOAR living stuff, mooes, An creepie tings, An otehr aminals. It happen so tehre.25 An Ceiling Cat doed moar living stuff, mooes, An creepies, An otehr animuls, An did not eated tehm.
26 An Ceiling Cat sayed, letz us do peeps like uz, becuz we ish teh qte, An let min p0wnz0r becuz tehy has can openers.
27 So Ceiling Cat createded teh peeps taht waz like him, can has can openers he maed tehm, min An womin wuz maeded, but he did not eated tehm.
28 An Ceiling Cat sed them O hai maek bebehs kthx, An p0wn teh waterz, no waterz An teh firmmint, An evry stufs.
29 An Ceiling Cat sayed, Beholdt, the Urfs, I has it, An I has not eated it.30 For evry createded stufs tehre are the fuudz, to the burdies, teh creepiez, An teh mooes, so tehre. It happen. Iz good.
31 An Ceiling Cat sayed, Beholdt, teh good enouf for releaze as version 0.8a. kthxbai.


Roadmap overviewGaap components
Creating a set of shared components that make world class services faster to assemble and cheaper to run.
Software
- GOV.UK Verify
- GOV.UK Notify
- GOV.UK Pay
- Secure document exchange
Patterns
- GOV.UK Design Patterns
- Webchat
- Concessionary Travel
- Residents’ parking permits
- Check before you start
Data
- Registers
- Data.gov.uk
- Private data exchange
Tools
- GOV.UK Platform as a Service
- Submit – Forms builder
- PQs and FOIs
- Surveys
Roadmap
GOV.UK Pay
Private Beta
GOV.UK Pay is a secure payment service that is easy to integrate with and designed to meet the Digital Service Standard. Give your users a trusted GOV.UK-branded payment experience.


For full documentation please visit LiveTraffic/XPMP2 Remote Client on GitBook, which also includes more details on installation.
The typical basic installation is very simple:
XPMP2-Remote
folder under X-Plane's
Resources/plugins
folder as with any other plugin.XPMP2-Remote/Resources
folder.
It is not required to rebuild the same folder structure
as CSL models are identified by internal names,
but all models need to be in reach if you want planes
to appear the same way as at your senders.You have several XPMP2-based plugins (like LiveTraffic, xPilot, referred to as the senders) running in parallel and want to see all their traffic on TCAS (and not only the traffic of the plugin which happens to have TCAS control):
Install XPMP2-Remote on the computer running the senders:
XPMP2-Remote
folder under X-Plane's
Resources/plugins
folder as with any other plugin....under X-Plane's Resources/plugins
folder:
XPMP2-Remote/
XPMP2-Remote/lin_x64/XPMP2-Remote.xpl
XPMP2-Remote/mac_x64/XPMP2-Remote.xpl
XPMP2-Remote/win_x64/XPMP2-Remote.xpl
XPMP2-Remote/Resources/CSL/...
(here follow the CSL package folders)
XPMP2-Remote/Resources/Doc8643.txt
XPMP2-Remote/Resources/MapIcons.png
XPMP2-Remote/Resources/Obj8DataRefs.txt
XPMP2-Remote/Resources/related.txt
XPMP2-Remote/Resources/XPMP2.example.prf
For updating coming from v1.00
lin|mac|win_x64/XPMP2-Remote.xpl
.
Change log:
XPMP2-Remote/Activate
and
XPMP2-Remote/TCAS
for menu items
Activate and TCAS Control
to bind keyboard shortcuts to them or trigger them via CMND network message.First public version.


Nurse Devorin:
Again, the words are:
"Sleep now, child, a beautiful rose blossoms for you. Sleep now, child, till the morning comes to."
Go tell him the words; help him.


KHIDMAT
خدمت
Select Role*
--Select Role--
Customer
Restaurant
Management
Donor
Receiver
DeliveryWorker
Username*
Password*
Login


--- title: Machine Learning keywords: fastai sidebar: home_sidebar summary: "Apply simple machine learning algorithms to a measures table" description: "Apply simple machine learning algorithms to a measures table" nb_path: "24_machine_learning.ipynb" ---
The gamba library contains several wrapper methods for commonly applied machine learning methods. Whilst it would be impossible to cover every machine learning method used in existing literature, the gamba library aims to provide a number of examples so that if you have a particular method in mind, some variant or similar implementation is available for you to extend.
Logistic regression techniques can map simple relationships between variables, but typically become untenable in more complex applications. As with the clustering techniques, the gamba library contains wrappers around the sklearn library's logistic regression functions, offering simple methods to run analyses without having to interact with the sklearn library directly (although you should for advanced techniques!).
SVM's are another type of machine learning algorithm but have seen limited use in existing work, but are included as templates to see how they could be used as part of an analysis using the gamba library. The three SVM methods implemented include those used in Philander's 2014 study.
Random forests are collections of decision trees which are applied en-mass to classification and regression problems. The gamba library implements both techniques in a very basic form, which follow a similar structure to other machine learning methods in the library. As with many other methods on this page, the gamba library simply contains wrappers for the scikit-learn library, which should be used directly for more advanced analyses!
Performance measures of many machine learning methods can be derived from the values they predict and the actual values of a test dataset. The compute_performance
function below is useful for quick estimates of performance, but you should refer to the measures appropriate to the specific method you're implementing for advanced analyses.
Some machine learning outputs favour plotting over raw tabular presentation. An example of this is a hierarchical clustering dendrogram, which is much more intuitive than a cluster membership report. The gamba library contains several methods for plotting the outputs of machine learning models;
import scipy.cluster.hierarchy as sch
import scipy.ndimage.filters as snf
import matplotlib.pyplot as plt


muspy.base¶
Base classes.
This module defines the bases classes for MusPy objects.
Classes¶
Base
ComplexBase
-
class
muspy.base.
Base
(**kwargs)[source]¶ The base class of MusPy objects.
It provides the following features.
Intuitive and meaningful __repr__ in the form of class_name(attr_1=value_1, attr_2=value_2,…).
Method from_dict: Instantiate an object whose attributes and the the corresponding values are given as a dictionary.
Method to_ordered_dict: Returns the object as an OrderedDict.
Method validate_type: Raise TypeError if any attribute of the object is of the wrong type according to _attributes (see Notes).
Method validate: Raise TypeError or ValueError if any attribute of the object is of the wrong type according to _attributes (see Notes) or having an invalid value.
Method is_valid_type: Return True if each attribute of the object is of the correct type according to _attributes (see Notes).
Method is_valid: Return True if each attribute of the object is of the correct type according to _attributes (see Notes) and having a valid value.
Method adjust_time: Adjust the timing of time-stamped objects. For example, if tempo is an instance of the
muspy.Tempo
class and func is a callable, then calling tempo.adjust_time(func) leads to tempo.time = func(tempo.time).
Notes
This is the base class for MusPy objects. To add a new class, please inherit from this class and set the following class variables properly.
_attributes: An OrderedDict with all the attributes (both required and optional ones) of the object as keys and their types as values.
_optional_attributes: A list containing optional attributes. An attribute in this list is allowed to be None.
_list_attributes: A list containing attributes that are lists.
-
adjust_time
(func, attr=None)[source]¶ Adjust the timing of time-stamped objects.
This will apply recursively to an attribute’s attributes.
- Parameters
func (callable) – The function used to compute the new timing from the old timing, i.e., new_time = func(old_time).
attr (str) – Attribute to adjust. If None, adjust all attributes. Defaults to None.
-
classmethod
from_dict
(dict_)[source]¶ Return an instance constructed from a dictionary.
- Parameters
dict (dict) – A dictionary that stores the attributes and their values as key-value pairs.
-
is_type_valid
(attr=None)[source]¶ Return True if an attribute is of a valid type, otherwise False.
This will apply recursively to an attribute’s attributes.
- Parameters
attr (str) – Attribute to validate. If None, validate all attributes. Defaults to None.
- Returns
Whether an attribute is of valid type.
- Return type
bool
-
is_valid
(attr=None)[source]¶ Return True if an attribute is valid, otherwise False.
This will recursively apply to an attribute’s attributes.
- Parameters
attr (str) – Attribute to validate. If None, validate all attributes. Defaults to None.
- Returns
Whether an attribute is valid.
- Return type
bool
-
pretty_str
()[source]¶ Return the stored data as a string in a beautiful YAML-like format.
- Returns
Stored data as a string in pretty YAML-like format.
- Return type
str
-
class
muspy.base.
ComplexBase
(**kwargs)[source]¶ A base class that supports operations on list attributes.
The supported operations are
Method remove_invalid: Remove invalid items from list attributes.
Method append: Automatically append the object to the corresponding list. For example, if track is an instance of the
muspy.Track
class and note is an instance of themuspy.Note
class, then calling track.append(note) leads to track.notes.append(note).Method sort: Sort the time-stamped objects with respect to the time attribute. For example, if track is an instance of the
muspy.Track
class, then calling track.sort() leads to track.notes.sort(lambda x: x.time).
-
remove_duplicate
(attr=None)[source]¶ Remove duplicate items.
- Parameters
attr (str) – Attribute to check. If None, check all attributes. Defaults to None.


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MetaMapp 2016 : Mapping of Metabolites by Chemical and Biochemical relationships
Create only a Chemical Similarity Network
PubChem IDs:
Separate each ID by a new line
Minimum Tanimoto similarity correlation coefficient:
Compute


Make use of the hardware random number accessed by the 'RdRand' instruction in recent Intel CPUs (Ivy Bridge and later). 'DRNG' is "Digital Random Number Generator".
| Version: | 0.1-16 |
| Depends: | R (≥ 3.0.0) |
| Published: | 2018-07-04 |
| Author: | Ei-ji Nakama, Junji NAKANO |
| Maintainer: | Ei-ji Nakama <nakama at ki.rim.or.jp> |
| License: | AGPL-3 |
| URL: | http://prs.ism.ac.jp/~nakama/Rrdrand/ |
| NeedsCompilation: | yes |
| SystemRequirements: | need the RDRAND instruction on Intel CPU. and C compiler must be able to compile a GNU-style in-line assembler. |
| Materials: | ChangeLog |
| CRAN checks: | Rrdrand results |
| Reference manual: | Rrdrand.pdf |
| Package source: | Rrdrand_0.1-16.tar.gz |
| Windows binaries: | r-devel: Rrdrand_0.1-16.zip, r-release: Rrdrand_0.1-16.zip, r-oldrel: Rrdrand_0.1-16.zip |
| OS X binaries: | r-release: Rrdrand_0.1-16.tgz, r-oldrel: Rrdrand_0.1-16.tgz |
| Old sources: | Rrdrand archive |
Please use the canonical form https://CRAN.R-project.org/package=Rrdrand to link to this page.


If you're interested in getting setup with JSPM to build projects, this article will take you through setting up both your machine and a production quality starter project.
Before deploying your app to production, you'll want to bundle the assets for efficient use of the network.


tclsh(1) Tcl Applications tclsh(1) ________________________________________________________________________________ NAME tclsh - Simple shell containing Tcl interpreter SYNOPSIS tclsh ?fileName arg arg ...? _________________________________________________________________ DESCRIPTION Tclsh is a shell-like application that reads Tcl commands from its stan‐ dard input or from a file and evaluates them. If invoked with no argu‐ ments then it runs interactively, reading Tcl commands from standard input and printing command results and error messages to standard output. It runs until the exit command is invoked or until it reaches end-of-file on its standard input. If there exists a file .tclshrc (or tclshrc.tcl on the Windows platforms) in the home directory of the user, tclsh evalu‐ ates the file as a Tcl script just before reading the first command from standard input. SCRIPT FILES If tclsh is invoked with arguments then the first argument is the name of a script file and any additional arguments are made available to the script as variables (see below). Instead of reading commands from stan‐ dard input tclsh will read Tcl commands from the named file; tclsh will exit when it reaches the end of the file. The end of the file may be │ marked either by the physical end of the medium, or by the character, │ '\032' ('\u001a', control-Z). If this character is present in the file, │ the tclsh application will read text up to but not including the charac‐ │ ter. An application that requires this character in the file may safely │ encode it as ``\032'', ``\x1a'', or ``\u001a''; or may generate it by use │ of commands such as format or binary. There is no automatic evaluation of .tclshrc when the name of a script file is presented on the tclsh com‐ mand line, but the script file can always source it if desired. If you create a Tcl script in a file whose first line is #!/usr/local/bin/tclsh then you can invoke the script file directly from your shell if you mark the file as executable. This assumes that tclsh has been installed in the default location in /usr/local/bin; if it's installed somewhere else then you'll have to modify the above line to match. Many UNIX systems do not allow the #! line to exceed about 30 characters in length, so be sure that the tclsh executable can be accessed with a short file name. An even better approach is to start your script files with the following three lines: #!/bin/sh # the next line restarts using tclsh \ exec tclsh "$0" "$@" This approach has three advantages over the approach in the previous paragraph. First, the location of the tclsh binary doesn't have to be hard-wired into the script: it can be anywhere in your shell search path. Second, it gets around the 30-character file name limit in the previous approach. Third, this approach will work even if tclsh is itself a shell script (this is done on some systems in order to handle multiple architectures or operating systems: the tclsh script selects one of several binaries to run). The three lines cause both sh and tclsh to process the script, but the exec is only executed by sh. sh processes the script first; it treats the second line as a comment and executes the third line. The exec statement cause the shell to stop processing and instead to start up tclsh to reprocess the entire script. When tclsh starts up, it treats all three lines as comments, since the backslash at the end of the second line causes the third line to be treated as part of the comment on the second line. You should note that it is also common practise to install tclsh with its │ version number as part of the name. This has the advantage of allowing │ multiple versions of Tcl to exist on the same system at once, but also │ the disadvantage of making it harder to write scripts that start up uni‐ │ formly across different versions of Tcl. VARIABLES Tclsh sets the following Tcl variables: argc Contains a count of the number of arg arguments (0 if none), not including the name of the script file. argv Contains a Tcl list whose elements are the arg arguments, in order, or an empty string if there are no arg argu‐ ments. argv0 Contains fileName if it was specified. Otherwise, con‐ tains the name by which tclsh was invoked. tcl_interactive Contains 1 if tclsh is running interactively (no fileName was specified and standard input is a terminal-like device), 0 otherwise. PROMPTS When tclsh is invoked interactively it normally prompts for each command with ``% ''. You can change the prompt by setting the variables tcl_prompt1 and tcl_prompt2. If variable tcl_prompt1 exists then it must consist of a Tcl script to output a prompt; instead of outputting a prompt tclsh will evaluate the script in tcl_prompt1. The variable tcl_prompt2 is used in a similar way when a newline is typed but the cur‐ rent command isn't yet complete; if tcl_prompt2 isn't set then no prompt is output for incomplete commands. STANDARD CHANNELS See Tcl_StandardChannels for more explanations. SEE ALSO fconfigure(3tcl), tclvars(3tcl) KEYWORDS argument, interpreter, prompt, script file, shell Tcl tclsh(1)


About Me
BIO
Hello ,I'm Renad Al-Khlafat ,I live in Jordan,Tafila ,I'm 22 years old
,I studied CIS at TTU and graduated in fall -2020-
,I have entered this field because I like programming
and I have pogrammed the first website in tawjehi level
SKILLS
- Coding Languages(C++, HTML/CSS,Android)
- Logical thinking & problem solving
- Data Analysis
- Ability to work under deadline pressure infast-paced environment
EXPERIENCS
- Research and development officer at T-Cycle compeny
- Programming coach for adolescent in Android and HTML & CSS at Ruwwad Altanmia/li>
- Debate club official at Ruwwad Altanmia
TOP TEN ANIME MOVES
- A Silent Voice
- Howl’s Moving Castle
- Tamako Market
- Wolf Children
- Hunter X Hunter
- My Neighbor Totoro
- Princess Mononoke
- Your Name
- Spirited Away
- Garden Of Words


Rule enthusiastic back
Describe ourselves hospital consult mine hook deserve. Want teach we rhythm yours adjustment calculate. Rate run help order want wide-eyed loyally.p
- red
- blue
- green
Money drain write owe
Operate development plain dare. Digestion suffer exchange curtain smile. Paint regret trouble record among unabashedly silk. Jittery arise nut because sloppily may. Arrange floor observation other.
Until part opinion
Touch hit everything both force. Strike garden promise helpless fit glove. Refer deal paint whether attraction reflect. Below dislike away now. Upon decide week cautious.
Happen look pump
Page round underneath bite confused. var x string = "..."
Cute skin stir pay thine pocket.
package yours import ( . "github.com/gregoryv/web" ) // ...
| Nouns | Adjectives |
|---|---|
| sponge | worried |
| water | prickly |
| shoe | different |
| current | uninterested |
| operation | cruel |
| surprise | difficult |
| fly | fantastic |
| shock | inexpensive |
| fact | pleasant |
| hour | obnoxious |


#include <stDFNode.h>
Classes | |
| struct | stDFNodeHeader |
Public Types | |
| enum | stDFNodeType { INDEX = 0x4449, LEAF = 0x464C } |
Public Member Functions | |
| virtual | ~stDFNode () |
| stNodeType | GetNodeType () |
| stPage * | GetPage () |
| stPageID | GetPageID () |
| stCount | GetNumberOfEntries () |
| virtual int | AddEntry (stSize size, const stByte *object)=0 |
| virtual const stByte * | GetObject (stCount idx)=0 |
| virtual stSize | GetObjectSize (stCount idx)=0 |
| virtual stDistance | GetMinimumRadius ()=0 |
| void | RemoveAll () |
| virtual stCount | GetTotalObjectCount ()=0 |
Static Public Member Functions | |
| static stDFNode * | CreateNode (stPage *page) |
| static stSize | GetGlobalOverhead () |
Protected Types | |
| typedef struct stDFNode::stDFNodeHeader | stDFNodeHeader |
Protected Member Functions | |
| stDFNode (stPage *page) | |
Protected Attributes | |
| stDFNodeHeader * | Header |
| stPage * | Page |
This abstract class is the basic DFTree node. All classes that implement DFTree nodes must extend this class.
The main function of this class is to provide a way to identify a disk node and create the required node instance to manipulate the node.
The structure of Index Node follows:
The Header holds the information about the node itself.
The Node Data is the segment of the node which holds the particular information of each type of the node. This class does not know how this information is organized.
Definition at line 112 of file stDFNode.h.
|
protected |
This is the structure of the Header of a DFTree node.
Node type.
| Enumerator | |
|---|---|
| INDEX |
ID of an index node. |
| LEAF |
ID of a leaf node. |
Definition at line 119 of file stDFNode.h.
|
inlinevirtual |
This method will dispose this instance and all associated resources.
Definition at line 134 of file stDFNode.h.
|
inlineprotected |
Creates a new instance of this class.
| page | An instance of stPage. |
Definition at line 287 of file stDFNode.h.
References stPage::GetData().
This is a virtual method that defines a interface in the insertion of a new Object in a Node.
| size | The size of the object in bytes. |
| object | The object data. |
Implemented in stDFLeafNode, and stDFIndexNode.
This is a virtual method that defines a interface for the instantiate the correct specialization of this class.
| page | The instance of stPage. |
|
inlinestatic |
Returns the global overhead of a DF node (header size) in bytes.
Definition at line 250 of file stDFNode.h.
|
pure virtual |
Returns the minimum radius of this node.
Implemented in stDFLeafNode, and stDFIndexNode.
|
inline |
Returns the type of this DFTree node (Leaf or Index).
Definition at line 143 of file stDFNode.h.
References Header, and stDFNode::stDFNodeHeader::Type.
|
inline |
Returns the number of entries in this node.
Definition at line 181 of file stDFNode.h.
References Header, and stDFNode::stDFNodeHeader::Occupation.
Referenced by stDFIndexNode::GetIndexEntry(), stDFLeafNode::GetLeafEntry(), and stDFLeafNode::GetTotalObjectCount().
Gets the serialized object. Use GetObjectSize to determine the size of the object.
| id | The id of the entry. |
Implemented in stDFLeafNode, and stDFIndexNode.
Returns the size of the object in bytes. Use GetObject() to get the object data.
| id | The id of the entry. |
Implemented in stDFLeafNode, and stDFIndexNode.
|
inline |
Returns the associated page.
Definition at line 152 of file stDFNode.h.
References Page.
|
inline |
Returns the ID of the associated page.
Definition at line 161 of file stDFNode.h.
References stPage::GetPageID(), and Page.
|
pure virtual |
Returns the total number of objects in the subtree.
Implemented in stDFLeafNode, and stDFIndexNode.
|
inline |
Remove All entries.
Definition at line 230 of file stDFNode.h.
References stPage::Clear(), Header, stDFNode::stDFNodeHeader::Occupation, Page, and stDFNode::stDFNodeHeader::Type.
|
protected |
Header of this page.
Definition at line 275 of file stDFNode.h.
Referenced by GetNodeType(), GetNumberOfEntries(), and RemoveAll().
|
protected |
The page related with this class.
Definition at line 280 of file stDFNode.h.
Referenced by GetPage(), GetPageID(), and RemoveAll().


As the author of cultural, educational, and sport-related projects that contribute to the cultural assets of society as a whole, Ziraat Bank is committed to constantly and methodically advancing the social responsibility mission that it has undertaken.
“Through Art For Art”
+25,000
Number of visitors who attended twenty-one exhibitions during 2015
In 2015 Ziraat Bank continued to engage in a multidimensional array of social responsibility and public relations projects.
Ziraat Bank undertakes activities that seek to improve both individuals and society as a whole in the areas of culture, art, education, and sport.
Especially as the author of projects that contribute to the cultural assets of society as a whole, the Ziraat Bank is committed to constantly and methodically advancing the social responsibility mission that it has undertaken.
Public relations in 2015
As in the previous six years, Ziraat Bank once again served as the Turkish Cup name sponsor for the 2015/2016 season. Since the 2007/2008 season the Bank has been the sponsor of a team that has been successfully representing Ziraat Bank in the Aroma Men’s Premier Volleyball League and it continued to support the team once again in the 2015/2016 season as well.
Popular, attention-getting advertisements and commercials
Four Ziraat Bank advertisements released in 2015 were highly popular, attracted considerable attention, and strongly enhanced the Bank’s visibility in the various channels in which they were appeared all year long:
- “Dev Projeler”, which showed how Ziraat Bank finances major investment projects around the country and also drew attention to the “Turkey’s oldest new bank” slogan;
- “Likapa”, which highlighted the added value that Ziraat Bank creates for its agricultural customers;
- “Mobil Bankacılık”, in which an elderly retired couple demonstrate how convenient Ziraat Bank’s mobile banking app is;
- “KOBİ Lades”, which focused on Ziraat Bank’s “SME Branch” concept.
Ziraat Bank’s “Likapa” was voted one of the year’s top ten advertising films by YouTube users in 2015.
A publicity film broadcast in conjunction with the Bank’s 152nd anniversary provided a chronological panorama of the reasons why Ziraat Bank has been “More Than Just A Bank” for more than a century and a half. This film attracted considerable attention in both traditional and social media.
Protecting the cultural heritage
Informed by its spirit of social collaboration, Ziraat Bank provides ongoing support for culture and art.
In keeping with this and as a component of its social responsibility policy, Ziraat Bank continued to support health, education, service, and sport-related activities in 2015 as well.
Supporting the arts is a Ziraat Bank tradition.
The support that Ziraat Bank has been giving to art and artists since the day it was founded is summed up in its slogan “Through Art For Art”. The Bank continues to take part in and support artistic activities in a variety of ways.
In the 1990s Ziraat Bank began adding new landmarks to its support for the arts by opening its Mithatpaşa, Kuğulu, Tünel, and Kızıltan Ulukavak art galleries and with the inauguration of the Ömer Nafi Güvenli Exhibition Hall.
Twenty-one exhibitions mounted in the Bank’s Ankara Kuğulu and İstanbul Tünel galleries attracted more than 25 thousand visitors during 2015.
Ziraat Bank’s support for culture and art also extends into the domain of theater. Under an agreement with the General Directorate for State Theaters, the resources of the Bank’s Mithat Paşa Cultural Center are made available for State Theaters company performances as the “State Theaters at Ziraat Stage”.
The Ziraat Bank Museum
Located in the ceremonial hall of the Bank’s original headquarters building in the Ulus district of Ankara, the Ziraat Banking Museum opened its doors to the public on 20 November 1981. Turkey’s first museum devoted to banking, the Ziraat Banking Museum provides a panoramic view of a corporate history that is intimately associated with that of nearly every aspect of the Republic of Turkey. Besides displaying the commercial, economic, political, cultural, artistic, and educational progress and transformation that Turkey has undergone in the course of more than a century and a half, the Ziraat Banking Museum also houses examples of objects used in the Turkish banking industry in a historical setting.
Digital platforms and field research
As part of Ziraat Bank’s efforts to ensure that its corporate identity is used in accordance with bank-specified standards so that its brand image is correctly perceived among customers, that its corporate identity is properly integrated into all appropriate environments, and that any misapprehensions of the Ziraat brand and identity are avoided, all branches were visited and checked for their compliance with the Bank’s Visual Identity Standards in 2015.
The Ziraat Bank Secret Customer Program continued in 2015, with every branch being visited at least once. These visits are conducted in order to obtain performance evaluation input by determining such issues as the degree to which employees are complying with business targets and standards, the adequacy of employees’ efforts to acquire new customers for the Bank, and how effective employees are in imparting their product knowledge to customers.
Ziraat Bank and social media
Ziraat Bank makes active use of social media as a way to interact with its stakeholders. The Bank maintains a social media presence on every platform where its customers are likely to be found in order to satisfy their wishes and expectations in the best way possible and to maximize customer satisfaction.
- The 764 thousand “Likes” received by the Bank’s Facebook page as of end-2015 made it one of the most active of those owned by any member of the Turkish banking industry.
- Ziraat Bank’s effectiveness in other social media continues to grow steadily. In 2015 the Bank had more than:
71 thousand Twitter followers
27 thousand Instagram followers
10,000,000 YouTube views.
According to the results of a survey conducted by Roamler Türkiye measuring and analyzing brand perceptions among Turkish consumers, Ziraat Bank ranked among the top three banks regarded as being “the most social” in Turkey in 2015.
Other activities
In 2015 Ziraat Bank once again took part in the conduct of projects of significant national importance as a sponsor at numerous fairs and similar events in Turkey and abroad.


WebSlides Animation Example
Show animation
-
FOO
-
BAR
-
BAZ
Hide animation
-
FOO
-
BAR
-
BAZ
Show animation with keep position
-
FOO
-
BAR
-
BAZ


What kind of unlucky events happened last week? (Choose that all apply)
What kind of lucky events happened last week? (Choose that all apply)
Which State do you like to live? (Choose that all apply)
Close your eyes and what do you see now? (Choose that all apply)
I can see your future:


Abhishek Jyotishi
HOME
ABOUTME
RESUME
Hii I'm Abhishek.Designing websites have become a hobby.
Cricket is always in heart.I'm almost always smiling :)


Auto Parts
Please select
one item for your DeLorian
from the drop-down list:
battery ($ 135.00 / battery)
brake disc ($ 30.00 / disk)
drive belt ($ 10.00 / belt)
engine oil ($ 25.00 / liter)
light bulbs ($ 2.00 / bulb)
spark plug ($ 8.00 / plug)
tires ($ 85.00 / tire)
windshield wipers ($ 12.00 / 2-pack)
Quantity (between 1 and 10):


UML Diagrams
Graphyte implements support for UML specification files by leveraging the great PlantUML tool. PlantUML is widely used in IT for a variety of applications, from creating live diagrams while extracting requirements from a customer, to creating specifications for a design, representations of software components or creating charts of any kind.
At the time of this writing, the following UML diagrams are supported by PlantUML:
- Sequence diagram
- Usecase diagram
- Class diagram
- Activity diagram
- Component diagram
- State diagram
- Object diagram
- Deployment diagram
- Timing diagram
On each of the links above, the PlantUML folks guide you through the creation of each type of diagram. It´s worth taking a look at the possibilities.
Once you have your first UML specification ready, you can test it online on PlantUML Web Server. Or, if you prefer, you can download PlantUML and work offline.
Creating UML diagrams for Graphyte
Use the plain text editor of your choice to create the UML file with your diagram's specification, following the guides on PlantUML website.
In order to link an element of your diagram to a specific input template, follow the format described in Using Hyperlinks with PlantUML.
In the following example, graphyte will load the user created template request.txt in the viewer area when clicking on the "Request" text, and will load the template response.txt when it detects a click on the "Response" text in the diagram.
(see also: Supported Link Types section)
Choose the name of your UML file carefully, it will later become the name of the module. The file must keep its .uml extension.


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| ncvar_get {pbdNCDF4} | R Documentation |
Reads data from an existing netCDF file.
ncvar_get(nc, varid=NA, start=NA, count=NA, verbose=FALSE, signedbyte=TRUE, collapse_degen=TRUE)
nc |
An object of class |
varid |
What variable to read the data from. Can be a string with the name
of the variable or an object of class |
start |
A vector of indices indicating where to start reading the passed values (beginning at 1). The length of this vector must equal the number of dimensions the variable has. Order is X-Y-Z-T (i.e., the time dimension is last). If not specified, reading starts at the beginning of the file (1,1,1,...). |
count |
A vector of integers indicating the count of values to read along each dimension (order is X-Y-Z-T). The length of this vector must equal the number of dimensions the variable has. If not specified and the variable does NOT have an unlimited dimension, the entire variable is read. As a special case, the value "-1" indicates that all entries along that dimension should be read. |
verbose |
If TRUE, then progress information is printed. |
signedbyte |
If TRUE (default), then on-disk byte variables are interpreted as signed. This is in accord with the netCDF standard. If FALSE, then on-disk byte variables are interpreted as unsigned. |
collapse_degen |
If TRUE (the default), then degenerate (length==1) dimensions in the returned array are removed. |
This routine reads data values from a variable in an existing netCDF file. The file
must already have been opened with a call to nc_open
.
Returned values will be in ordinary R double precision if the netCDF variable type is float or double. Returned values will be in R's integer storage mode if the netCDF variable type is short or int. Returned values will be of character type if the netCDF variable is of character type.
Values of "NA" are supported; values in the data file that match the
variable's missing value attribute are automatically converted to "NA" before
being returned to the user.
See ncvar_change_missval
for more information.
Data in a netCDF file is conceived as being a multi-dimensional array. The number and length of dimensions is determined when the variable is created. The 'start' and 'count' indices that this routine takes indicate where the writing starts along each dimension, and the count of values along each dimension to write. Note that the special count value "-1" means "all the values along that dimension".
If the variable in the netCDF file has a scale and/or offset attribute defined, the returned data are automatically and silently scaled and/or offset as requested.
David W. Pierce<EMAIL_ADDRESS>http://dwpierce.com/software
ncvar_put
.
## Not run: # Start with the simplest example. If the file only has one variable in it, # you can read the data as easily as this: # nc <- nc_open("salinity.nc") # NOTE how not specifying varid reads the "only" var in the file data <- ncvar_get( nc ) nc_close(nc) # In this next example we read values from file "writevals.nc", which is created by # the R code in the example section for function "ncvar_put". We open the # file with readunlim=FALSE for potentially faster access, and to illustrate # (below) how to read in the unlimited dimension values. # nc <- nc_open( "writevals.nc", readunlim=FALSE ) print(paste("The file has",nc$nvars,"variables")) # This illustrates how to read all the data from a variable v1 <- nc$var[[1]] data1 <- ncvar_get( nc, v1 ) # by default, reads ALL the data print(paste("Data for var ",v1$name,":",sep="")) print(data1) # This shows how the shape of the read data is preserved v2 <- nc$var[[2]] data2 <- ncvar_get( nc, v2 ) print(paste("Var 2 has name",v2$name,"and is of shape",dim(data2), ". Here are the values:")) print(data2) # This illustrates how to read data one timestep at a time. In this # example we will elaborately show how to deal with a variable whose # shape is completely unknown (i.e., how many dimensions, and what their # sizes are). We will also, for illustration of a common case, show how # to read in the values of the time dimension at each timestep. v3 <- nc$var[[3]] varsize <- v3$varsize ndims <- v3$ndims nt <- varsize[ndims] # Remember timelike dim is always the LAST dimension! for( i in 1:nt ) { # Initialize start and count to read one timestep of the variable. start <- rep(1,ndims) # begin with start=(1,1,1,...,1) start[ndims] <- i # change to start=(1,1,1,...,i) to read timestep i count <- varsize # begin w/count=(nx,ny,nz,...,nt), reads entire var count[ndims] <- 1 # change to count=(nx,ny,nz,...,1) to read 1 tstep data3 <- ncvar_get( nc, v3, start=start, count=count ) # Now read in the value of the timelike dimension timeval <- ncvar_get( nc, v3$dim[[ndims]]$name, start=i, count=1 ) print(paste("Data for variable",v3$name,"at timestep",i, " (time value=",timeval,v3$dim[[ndims]]$units,"):")) print(data3) } nc_close(nc) ## End(Not run)


|
ActiveTcl User Guide
|
||
Tk_SetWindowVisual - change visual characteristics of window
#include <tk.h>
int
Tk_SetWindowVisual(tkwin, visual, depth,
colormap)
When Tk creates a new window it assigns it the default visual characteristics (visual, depth, and colormap) for its screen. Tk_SetWindowVisual may be called to change them. Tk_SetWindowVisual must be called before the window has actually been created in X (e.g. before Tk_MapWindow or Tk_MakeWindowExist has been invoked for the window). The safest thing is to call Tk_SetWindowVisual immediately after calling Tk_CreateWindow. If tkwin has already been created before Tk_SetWindowVisual is called then it returns 0 and doesn't make any changes; otherwise it returns 1 to signify that the operation completed successfully.
Note: Tk_SetWindowVisual should not be called if you just want to change a window's colormap without changing its visual or depth; call Tk_SetWindowColormap instead.
Copyright © 1992 The Regents of the University of California. Copyright © 1994-1996 Sun Microsystems, Inc. Copyright © 1995-1997 Roger E. Critchlow Jr.


Hello! I am a friendly, enthusiastic Front-End Engineer with effective communication skills and an eye for design. I graduated in 2016 from UC Irvine with a Bachelor of Science in Computer Science, participated in undergraduate research with the iGravi lab at UCI, and led a student housing community as Community Advisor. Currently, I have one year of experience as a Front-End Web and Web Application Engineer.
Resume
LinkedIn
A simple image processing tool for the web using Javascript frameworks like Vue or React. Details coming soon.
A web application that streamlines the creation of travel itineraries. Adventure is out there! Details coming soon.
A just-for-fun rebranding of the Sacramento Farmers Market. Showcase design chops and build a theme from scratch! Details coming soon.
(916) 425 9507
michelle @ michellelim.io


Liquid Haskell has a flag called --no-case-expand
which can make verification of your code much faster,
especially when your code is using ADTs with many alternatives.
This flag says relax precision to get fast verification,
thus may lead to rejecting safe code.
In this post, I explain how --no-case-expand
works using a trivial example!
(Click here to demo)
28: 29: module MeasuresAndCaseSplitting where
Measures
Let’s define a simple data type with three alternatives
40: data ABC = A | B | C
and a measure that turns ABD
into an integer
46: {-@ measure toInt @-} 47: toInt :: ABC -> Int 48: x1:MeasuresAndCaseSplitting.ABC -> {VV : GHC.Types.Int | VV == MeasuresAndCaseSplitting.toInt x1}toInt A = 1 49: toInt B = 2 50: toInt C = 3
Though obvious to us, Liquid Haskell will fail to check
that toInt
of any ABC
argument
gives back a natural number.
Or, the following call leads to a refinement type error.
59: {-@ unsafe :: x:ABC -> {o:() | 0 <= toInt x } @-} 60: unsafe :: ABC -> () 61: x1:MeasuresAndCaseSplitting.ABC -> {o : () | 0 <= MeasuresAndCaseSplitting.toInt x1}unsafe MeasuresAndCaseSplitting.ABCx = ()
Why?
By turning toInt
into a measure, Liquid Haskell
gives precise information to each data constructor of ABC
.
Thus it knows that toInt
or A
, B
, and C
is respectively 1
, 2
, and 3
, by automatically
generating the following types:
72: A :: {v:ABC | toInt v == 1 } 73: B :: {v:ABC | toInt v == 2 } 74: C :: {v:ABC | toInt v == 3 }
Thus, to get the toInt
information one need to
explicitly perform case analysis on an ABC
argument.
The following code is safe
82: {-@ safe :: x:ABC -> {o:() | 0 <= toInt x} @-} 83: safe :: ABC -> () 84: x1:MeasuresAndCaseSplitting.ABC -> {o : () | 0 <= MeasuresAndCaseSplitting.toInt x1}safe A = () 85: safe B = () 86: safe C = ()
Liquid Haskell type check the above code because
in the first case the body is checked under the assumption
that the argument, call it x
, is an A
.
Under this assumption, toInt x
is indeed non negative.
Yet, this is the case for the rest two alternatives,
where x
is either B
or C
.
So, 0 <= toInt x
holds for all the alternatives,
because case analysis on x
automatically reasons about the
value of the measure toInt
.
Now, what if I match the argument x
only with A
and provide a default body for the rest?
104: {-@ safeBut :: x:ABC -> {o:() | 0 <= toInt x} @-} 105: safeBut :: ABC -> () 106: x1:MeasuresAndCaseSplitting.ABC -> {o : () | 0 <= MeasuresAndCaseSplitting.toInt x1}safeBut A = () 107: safeBut _ = ()
Liquid Haskell knows that if the argument x
is actually an A
,
then toInt x
is not negative, but does not know the value of toInt
for the default case.
But, by default Liquid Haskell will do the the case expansion
of the default case for you and rewrite your code to match _
with all the possible cases.
Thus, Liquid Haskell will internally rewrite safeBut
as
119: {-@ safeButLH :: x:ABC -> {o:() | 0 <= toInt x} @-} 120: safeButLH :: ABC -> () 121: x1:MeasuresAndCaseSplitting.ABC -> {o : () | 0 <= MeasuresAndCaseSplitting.toInt x1}safeButLH A = () 122: safeButLH B = () 123: safeButLH C = ()
With this rewrite Liquid Haskell gets precision!
Thus, it has all the information it needs to prove safeBut
as safe.
Yet, it repeats the code of the default case,
thus verification slows down.
In this example, we only have three case alternatives, so we only repeat the code two times with a minor slow down. In cases with many more alternatives repeating the code of the default case can kill the verification time.
For that reason, Liquid Haskell comes with the no-case-expand
flag that deactivates this expansion of the default cases.
With the no-case-expand
flag on, the safeBut
code will not type check
and to fix it the user needs to perform the case expansion manually.
In short, the no-case-expand
increases verification speed
but reduces precision. Then it is up to the user
to manually expand the default cases, as required,
to restore all the precision required for the code to type check.