Constructors
constructor
- new Graph(totalVertices: number): Graph
Properties
connected
connected: boolean
Private counter
counter: number
directed
directed: boolean
totalVertices
totalVertices: number
Methods
addEdge
- addEdge(edge: Edge): void
addVertex
- addVertex(vertex: Vertex): void
calcFlow
- calcFlow(start: number, end: number, targetFlow: number, count: number[]): number
-
Parameters
-
start: number
-
end: number
-
targetFlow: number
-
count: number[]
Returns number
calcMinCut
- calcMinCut(source: number, sink: number): number
-
Parameters
-
source: number
-
sink: number
Returns number
connect
- connect(vertex1: Vertex, vertex2: Vertex, weight?: undefined | number, directional?: undefined | false | true): void
-
Parameters
-
-
-
Optional weight: undefined | number
-
Optional directional: undefined | false | true
Returns void
createLevelGraph
- createLevelGraph(from: number, to: number): boolean
-
Parameters
Returns boolean
getMinCut
- getMinCut(from: number): number[]
-
Parameters
Returns number[]
newEdge
- newEdge(from: number, to: number, capacity: number): void
-
Parameters
-
from: number
-
to: number
-
capacity: number
Returns void
removeEdge
- removeEdge(edge: Edge): void
removeVertex
- removeVertex(vertex: Vertex): void
Depth First Search-like: send flow at along path from from->to recursively while increasing the level of the visited vertices by one


Neil Stuart Davy, formerly of West View, Bamber Bridge, Preston, and now of Brownedge Road, Lostock Hall, appeared before Preston Crown Court.
The 44-year-old pleaded guilty to a total of six charges.
The first relates to distributing an indecent video of two young girls.
READ MORE: Preston brothers Jamie and Samuel Boyes downloaded 1,300 indecent images of children between them - but neither sibling knew what the other was up to
Three other charges against him relate to downloading indecent images of youngsters.
The investigation revealed he had accessed 57 still and moving images deemed category A - the most serious in legal terms - with a further 61 images and videos deemed category B, and 840 others deemed category C.
Davy pleaded guilty to further charges of possessing an extreme pornographic image, involving a dog, and possessing two prohibited images of a child.
The offences happened in the Bamber Bridge area over a period between October 2015 and July 2018.
Davy has no previous convictions, but his defence lawyer acknowledged he was likely to receive a custodial term.
The Honorary Recorder of Preston, Judge Mark Brown, agreed to adjourn the hearing for a pre sentence report to be prepared.
Davy’s sentencing date has now been set for January 17.
He has been granted bail in the meantime with a condition of residence at his home address.
Under the Protection of Children Act 1978, offences linked to the distribution of such images carry a maximum sentence of 10 years imprisonment, while those for possession carry a maximum sentence of five years imprisonment.
(proceeding)


| Up | TOC | Index | |||||
| << | < | Up: 1 Euphoria Programming Language v4.1 | 1.2 Introduction > | 2 Installing Euphoria >> |
1.1 Quick Overview
Welcome to the Euphoria programming language!
Euphoria is a programming language with the following advantages over conventional languages:
- Euphoric
- A remarkably simple, flexible, powerful language definition that is easy to learn and use.
- Dynamic
- Variables grow or shrink without the programmer having to worry about allocating and freeing chunks of memory. Objects of any size can be assigned to an element of a Euphoria sequence (array).
- Fast
- A high-performance, state-of-the-art interpreter that's significantly faster than conventional interpreters such as Perl and Python.
- Compiles
- An optimizing Euphoria To C Translator, that can boost your speed even further, often by a factor of 2x to 5x versus the already-fast interpreter.
- Safe
- Extensive run-time checking for: out-of-bounds subscripts, uninitialized variables, bad parameter values for library routines, illegal value assigned to a variable and many more. There are no mysterious machine exceptions--you will always get a full English description of any problem that occurs with your program at run-time, along with a call-stack trace-back and a dump of all of your variable values. Programs can be debugged quickly, easily and more thoroughly.
- High level
- Features of the underlying hardware are completely hidden. Programs are not aware of word-lengths, underlying bit-level representation of values, byte-order etc.
- Debugger
- A full-screen source debugger and an execution profiler are included.
- Editor
- A full-screen, multi-file editor is also included. On a color monitor, the editor displays Euphoria programs in multiple colors, to highlight comments, reserved words, built-in functions, strings, and level of nesting of brackets. It optionally performs auto-completion of statements, saving you typing effort and reducing syntax errors. This editor is written in Euphoria, and the source code is provided to you without restrictions. You are free to modify it, add features, and redistribute it as you wish.
- Multi-platform
- Euphoria programs run under Windows, Linux, OS/X, FreeBSD, NetBSD, OpenBSD and can be easily ported to any platform supporting GCC.
- Stand-alone
- You can make a single, stand-alone executable file from your program.
- Generic
- Euphoria routines are naturally generic. The example program below shows a single routine that will sort any type of data--integers, floating-point numbers, strings etc. Euphoria is not an "object-oriented" language, yet it achieves many of the benefits of these languages in a much simpler way.
- Free
- Euphoria is completely free and open source.
include std/console.e sequence original_list function merge_sort(sequence x) -- put x into ascending order using a recursive merge sort integer n, mid sequence merged, a, b n = length(x) if n = 0 or n = 1 then return x -- trivial case end if mid = floor(n/2) a = merge_sort(x[1..mid]) -- sort first half of x b = merge_sort(x[mid+1..n]) -- sort second half of x -- merge the two sorted halves into one merged = {} while length(a) > 0 and length(b) > 0 do if compare(a[1], b[1]) < 0 then merged = append(merged, a[1]) a = a[2..length(a)] else merged = append(merged, b[1]) b = b[2..length(b)] end if end while return merged & a & b -- merged data plus leftovers end function procedure print_sorted_list() -- generate sorted_list from original_list sequence sorted_list original_list = {19, 10, 23, 41, 84, 55, 98, 67, 76, 32} sorted_list = merge_sort(original_list) for i = 1 to length(sorted_list) do display("Number [] was at position [:2], now at [:2]", {sorted_list[i], find(sorted_list[i], original_list), i} ) end for end procedure print_sorted_list() -- this command starts the program
Euphoria has come a long way since v1.0 was released in July 1993 by Rapid Deployment Software (RDS). There are now enthusiastic users around the world.


Maybe you're traveling. Maybe you're just wondering how much the US dollar is worth around the world these days.
Amount in USD:
Desired currency:


If you are looking for how to run Piranha Server on Docker, see Running Piranha Server on Docker.
Download the zip / tar.gz file from Maven Central and extract it into a directory of your choice.
Starting the server is done by issuing the command line below from the bin directory.
start.sh
Stopping the server is done by issuing the command line below from the bin directory.
stop.sh
Deploying a web application is as simple as copying your WAR file to the webapps directory. Note if the server is already running you will need to stop and start the server.
See GitHub at https://github.com/piranhacloud/piranha/tree/master/server.


Get to know the magical land of the Pharaos!
Egypt is not a country we live in but a country that lives within us -Pope Shenouda III
Between the dunes of the desert and the waves of the ocean, one of the most popular civilizations thrived by the Nile River. Although they don't live now, their tombs and temples remain some of the most magnificent attractions to humanity today. Mysterious and majestic, those monumnets are scattered all around Egypt, calling to those who would like to delve into the pages of the past. However, Egypt isn't just about the Pharaos. There are so many things that you can see in Egypt like the Nile River, the Citadel of Cairo, Khan el-Khalili, Bibliotheca Alexandrina, and even the beautiful Coral Reef of the Red Sea! Explore more places in our 'Places to Visit' tab!


Turn the skills of professional marketers into repeatable habits. Lead the way in relationship focused business, build a network of trust, and live a life of prosperity.
Power of the popup
The Popup is what makes FollowUp unique. It provides you with the tools to do the things you need to do, when you need to do them. Making notes and setting FollowUps with customers is a professional skill. It may seem simple but
we all forget from time to time and doing so can have lasting effects on our relationships with our customers. With the FollowUp Popup you can relax and trust that Followup will be there too keep you on track, 24/7, 365.
Know Who
Your Customers Are
FollowUp Contacts makes finding all the information about a customer easier than ever before.
All events, calls, notes and actions are tied to your contacts profile and available at any time. The popup is what drives this integration and what makes FollowUp so effective.
Consistent Business
Consistently getting one prospect per day is the difference between a business amateur and a professional.
That's why FollowUp gives you FollowUp Prospects. A place where you can keep track of all your potential customers and see the growth of your business network
Stay
up to date
Keep track of the FollowUps you set up with your customers using the FollowUp calendar. Professional business owners always set the next exposure at the end of a call but even more importantly, they always FollowUp when they say they will.
FollowUp calendar makes this simpler than ever through the power of the popup. The popup allows you so set an event straight after a call, at the moment where all the information is fresh. It makes the process intuitive and seamless,
allowing you to get on with your day worry free.


Log in
Ascarata
Occupation
Market
Home
reputation
Welcome to the Game: Check the "How to Play" Tab Below
How to Play
PROFILE


Click and drag with
left mouse
to rotate a layer
Click and drag with
right mouse
to rotate the Rubik's Cube
Length
Algorithm


Add Board
Download Boards
Save Boards
{{hideArchivedBoards ? messageShowArchivedBoard : messageHideArchivedBoard}}


importViewResources(moduleIds: any, names: any, resources: ViewResources, compileInstruction?: ViewCompileInstruction, loadContext?: ResourceLoadContext): Promise
Imports the specified resources with the specified names into the view resources object.
Parameters
moduleIds: any
The modules to load.
names: any
The names associated with resource modules to import.
resources: ViewResources
The resources lookup to add the loaded resources to.
compileInstruction?: ViewCompileInstruction
The compilation instruction associated with the resource imports.
loadContext?: ResourceLoadContext
Returns
A promise for the ViewResources.


s6
Software
skarnet.org
The s6-fdholder error codes
The following error messages (and corresponding
errno codes)
can be returned by the
s6-fdholderd daemon to its various clients.
This page explains why they occur.
- Protocol error (EPROTO) or Protocol wrong type
for socket (EPROTOTYPE): the client connected to the wrong
kind of server and they cannot communicate. This is generally a
programming error. It can also
signal a bug in the s6-fdholder tools, but protocol bugs have
usually been wiped out before an s6 release.
- Broken pipe (EPIPE): the client was not authorized to
connect to the server, which closed the connection. You need to
configure the access
rights to the server.
- Operation not permitted (EPERM): even though the
client was authorized to connect to the server, the specific
operation it wanted to perform was denied. You need to
configure the access
rights to the server.
- Too many open files in system (ENFILE): the client
attempted to store more file descriptors than the server can hold.
Or, the client attempted to retrieve more file descriptors than it
can hold. You should check the -n option to
s6-fdholderd, as well as the
RLIMIT_NOFILE
resource limits used by the client and the server, and adjust them
accordingly.
- Resource busy (EBUSY): the client attempted to store
a descriptor under an identifier that is already used.
- Filename too long (ENAMETOOLONG): the identifier
provided by the client was too long.
- No such file or directory (ENOENT): the identifier
provided by the client was not found in the server database.
- Bad file descriptor (EBADF): the client attempted
to transmit a closed, or otherwise unsuitable for fd-passing,
file descriptor.
- Operation timed out (ETIMEDOUT): the client, or the
server, took too long to perform the wanted operation. This is most
probably a programming error, because both client and server should
have a very fast reaction time. Check that the client is connecting
to the right server, and check -t options to both client and
server (the argument is interpreted as milliseconds!).
- Other errors indicate a transient error such as lack of memory,
hardware failure, etc.


I'm a student in Intro to Programming at Epicodus. I like to describe myself as a freshly hatched code-ling, everything is new, terrifying, and I can't wait to learn all I can. I'm interested in front end development and during my time here I hope to develop those skills.
I worked at a technology based non-profit in San Francisco. The irony of moving away from the epicenter of the tech industry to begin a career in programming isn't lost on me. But when I was accepted to Epicodus I packed up and moved. In college I studied 20th century European History which means I know a lot about the causes of the collapse of the Soviet Union, and I make a great addition to any Trivia Night team. I am new to Portland, so in my free time I like to discover what the city has to offer. If I'm not discovering new things about Portland, I am usually knitting, cleaning headstones at a historical cemetery, or reading a book somewhere. I chose to attend Epicodus because I liked what the program had to offer, and I thought that this would be the best place to learn the skills to start a new career.
I have only been in the Intro to Programming course for a week but I have already created a lot of projects!
Thanks for looking at my page.
“Pour yourself a drink, put on some lipstick, and pull yourself together.”


--- type: tables title: Table with collapsible rows usage: Allows to use collapsible rows, when you want to display more information than what is displayed on a single row. stylesheet: '/scss/tables/table-collapsible-rows.scss' ---
| Column 1 | Column 2 | Column 3 | |
|---|---|---|---|
| Data 1 | Data 2 | Data 3 | |
|
Detail 1
Detail 1 value
Detail 2
Detail 2 value
Detail 3
Detail 3 value
|
|||
| Data 1 | Data 2 | Data 3 | |
|
Detail 1
Detail 1 value
Detail 2
Detail 2 value
Detail 3
Detail 3 value
|
|||
| Data 1 | Data 2 | Data 3 | |
|
Detail 1
Detail 1 value
Detail 2
Detail 2 value
Detail 3
Detail 3 value
|


The opinions on this site are my own, and are not necessarily shared by my employer.
Dynamic first boot scripts with Imagr and Flask: Part 2
07 Jan 2016
If you are just starting with this series, it is highly recommended you start with Part 1.
Last time we built a basic app that will ask for a username and password to access it. Now we’re going to add in some other data that will eventually be sent by Imagr to let our script be dynamically generated.
First off we need to pull out the headers that Imagr will send. We are going to need:
The Mac’s Build
The Mac’s Location
These two options will be stored in a couple of headers. Fortunately, Flask has a built in way of getting the headers from a request. Open up bootstrap.py and make our main function look like:
And let’s test it. Make sure you’ve activated the virtualenv we made in the first part and run the debug server:
Aussuming your username and password are admin and secret, open up your terminal (whilst keeping the debug server running in another window:
Of course all we’re doing is spitting out the header values at the moment - let’s add those values to our first boot script. Make your index function look like:
Our final job is to make an endpoint that will eventually make the machine’s Munki manifest - for now it will just say hello:
Now we can test this with Imagr. Open up your Imagr configuration plist and make add in a workflow that looks like:
You can generate the authorization header, by replacing the appropriate pairts and running this in your terminal:
And you should see your machine run the script at first boot - it will send it’s serial number, and it’s build and location for processing by the script that we’ll build next time. Remember, if you are netbooting and imaging a VM, this will be fine. If you are doing a real Mac, you will need to replace localhost below with the IP address of your Mac that is running bootstrap.py.


This week, we are supposed to be talking about what makes a good question.
uh... Yea I guess that's important... no that's really important and I someday hope to be any good at that at all. But I am much much more interested in good answers. and here's why:
Oh so many of them are so so terrible.
 RIGHT!
Meet Tom: Tom grew up in a house that spoke French and English, moved to France, majored in Renaissance Literature, currently lives in Paris, and teaches creative writing at the Sorbonne.
He is really good at French.
Meet Bob: Bob has been using Rosetta Stone to learn to speak French. He is on Day 10. He likes to watch his favorite movies with the audio set to French. Progress is slow.
See where I am going with this right?
If Bob asks what the third-person plural, imperative form of "to be" is? What he wants is the shortest possible, most direct answer. Phrased in a way he can comprehend with his limited skill set.
If he asks Tom, he might get an answer that is meaningful to him, but he might get a 75 page thesis on why there kind of isn't a third person imperative form of "To be" in French
in short the answer must take into account the learning level of the questioner.
I forgot Alan, Alan is 4 week into his second semester of college French. In many ways he is really the guy Bob should talk to, but it depends on the question. Alan is really strong on the foundations. "How do you say "Duck" but not like the fowl, like the verb, to crouch down lest you get a pie in the face Duck!(again the imperative.)
Oh but Alan is not um, how to say this, Bob intimidates the hell out of Alan so, when Alan tries to explain that there kinda of isn't an imperative for or "To Be".. his answer is a little muddled, because A: It's a subtle question who's answer is challenging. B: Alan doesn't have a super great handle on the answer anyway, and C: Because he is a little intimidated, Alan goes way overboard on the answer dragging in other concepts as examples to explain the in it. Which of course Bob has no context for.
So where to go with this? Well, for me, I must always remember that I am currently a Bob, hopefully on my way to becoming an Alan.
There are so many answers that fly right over my head. The kids on Stack overflow so often seem to value complexity over simplicity.
but that may not be a bad thing just a bad thing for me.
Today I am learning French, and all I want it to write grammatically correct sentences. Tomorrow, hopefully, tomorrow I will write poetry.
When I first saw the Terminator, I was deeply troubled by the time paradox. I watched a lot of Dr. Who as a kid so I was pretty familiar with the basics of time travel. But Terminator was the first one with a ... wait this can never happen.
Becasue the thing with Time Paradoxes is, at some point there must have been a "First Time Through".
At some point there must have been a Sarah Connor who got pregnant and had a boy John Connor who's dad WASN'T Kyle Reese, but who grew up to survive the war with the machines, and lead humanity to victory and send Kyle Back to meet Sarah Conner.
And THAT's where the paradox starts.
So young me was always facinated by that first time through. What we shall call the Prime Iteration. Becasue after that everything changes.
And that is all anyone seems to care about.
It is perfectly okay for a function to call itself, as long as it takes care not to overflow the stack.
-- Marijn Haverbeke, Eloquent Jvascript
A function that calls itself from inside itself is a slap in the face to the laws of nature, and I wouldn't let one date my sister.
-- Me, this Blog, right now.
Here take a look at this.
function power(base, exponent) { if (exponent == 0) return 1; else return base * power(base, exponent - 1); } console.log(power(2, 4)); // => 16
Here is a power function, uh, function.
but you can see in the 'else' segment of the if statement
the function, 'power' is.. is
CALLING ITSELF!
This raises new and troubling questions
How do you call a function from inside a function. By virtue of the fact that you are calling from inside it.. by definition you aren't done defining it.  Also why?
 Its turtles all the way down, it can never end.
Now I would really like to talk about Chaos by James Gleik, and spend a moment on Infinite sets in bounded systems, but that's just me showing off, instead I will drag us back to my Terminator obsession.
There had to be a Prime Iteration, a first time through the loop just to get it started.
I don't need to tell you recursion is a bit tricky to get right. Lots of opportunity to start an infinite loop.
So for this first time through they set up some ground rules. In this function, right at the start they create this escape clause
with the if statement: if (exponent == 0) return 0;
Okay now we have a good feeling that this won't last forever. Not entirely sure why not, but a good guess is, someplace, in a little bit, something will be decrementing exponent. And sure enough, there it is in the else half of the statement. In that unholy call to power. But at least its there, so no matter how off-the-rails things go we know that every time this function runs through its little loop, even though its calling itself, exponent is going to be decremented a little each time and eventually exponent will = 0 and get the hell out of there.
This the part where it get a little weird visually. Let us go through each iteration and see what is happening. Starting with the given base and exponent: 2 and 4.
First time through: base = 2, exponent = 4
2 * power( 2, exponent - 1) <== exponent = 4 but now they've called power again so
----> 2 * power( 2, exponent - 1) <== exponent = 3 but here's power again so
----> ---->2 * power( 2, exponent - 1) <== exponent = 2 and power again so
----> ----> ---->2 * power( 2, exponent - 1 ) <== but now Exponent = 1 and this call to power passes exponent - 1, so 0. AND have that escape clause in the beginning that returns 0 if exponent == 1.
Now depending on how you look at it, and whichever way you look at it is fine. We have recursed, thru all the iterations available to us as they were set up by that first If statement.
Effectively you get: (2 * (2 * (2 * (2 * 1)))) Where the innermost set of parentheses corresponds to the last value of exponent(0)And now you can back out and run the function and get the result 12. uh ,16 actually , but the important thing is to understand what's happening.
According to the test, my GregorC thinking style is Concrete Random AND Abstract Random.
I learn best when; I am able to use trial and error, compete with others, and work independantly. While simultaneously given; broad general guidelines, participate in group activities and maintain friendly relationships.
..Uh. Okay previous edits of this paragraph were, a little snarky. I will instead only say that I think the GregorC stuff is a little flimsy and sounds more like a horoscope than anything you really get much utility out of, but your mileage may vary.
I'm not 25 anymore but if I could tell that guy something it would be this:
There's not liking Something because you don't like it.
And there's not liking it because ITS HARD RIGHT NOW.
This idea, I think encapsulates a growth mindset. It pre-supposes that change is possible, it even reminds us that while it may not be fun, it will be worthwhile.
I do not like Chinese Opera. I have relatives who perform it and I have seen it and let me tell you, it is a real challenge. I don't speak Mandarin, its not my culture in the first place, it has nothing in common with anything I do like, and I just have no desire to become someone who would like it, anyway.
I don't think it is BAD or EVIL or STUPID. I don't think IT SHOULDN'T EXIST. It's just not my cup of tea.
I'm trying to set this up as an example of "I just don't like it".
Skiing, driving stick, a musical instrument, small talk at parties with strangers ..learning to do these things absolutely sucked. But they where totally worthwhile.
It was hard, and at the time, I was really not enjoying it. I did not like it. But it passed.
Keeping all that in mind, I'm not sure how I feel about HTML and CSS. I think its just frustrating that I'm not very good at it. This will pass and I will get better.
The Ruby stuff in week three was such a relief. First, you aren't so freaked out about design and visual appeal, just getting the answer. There is no visual interpretation to "which one is the shortest string in the array".
But its the small things. A part of me wants to focus on the BIG STUFF. Doing the Challenges.
But there is rather a lot of small stuff. Getting everything up on Github, getting your web site to point correctly, doing reflections, the final submission on Socrates, arranging Pairing, good god.
all that adds up to a lot of time when you aren't working on the big stuff.
But I am sure that will pass.
But Chinese opera.. no way man.
Remember those cartoons that showed you what life would be like in the future? They had some recurring themes. Flying Cars, living in space and one you heard over-and over; robots taking over for man in the manual labor department. Guaranteeing man less work-time and more time for "leisure".
Now I look and see that all the people who have been spared the physical or repetitive drudgery of their jobs are now in fact, unemployed. Upside; more time For Leisure! Downside; .. oh wait.
There are here in Oakland Ca. Many many opportunities for children to learn to code, produce video, learn to play music. Costs are from top tier to free. But when you start to look out for it, there is a lot of stuff to help children acquire marketable skills early and for cheap.
All I'm saying is there are a lot of older adults who have lost or are going to lose their jobs and need to learn new skills. And while learning to weld is both fun and lucrative (provided you can move to North Dakota, we can't teach you to weld over the internet.
This is my point, if technology is going to wipe out all these jobs but not revolutionize society enough that all these newly Leisure-Time-Enabled adults can still feed themselves. The least it could do is provide them with some new job skills.

Yep, and System Administration and tech support. And I want to do it for free.
And yes I'm aware of the irony of training those who lost their living to technology to serve it. Its Twilight Zones all the way down.
But here's why. One, they're old. They can't all go and learn to be plummer and car mechanics. Two Its good for them. Want to forestall age related mental diminishment Nothing beats learning new skills that are WAAAAY out of your comfort zone. Three Times change but there will always be something like a computer on something like a desk, and it will need programming, maintenance and fixing. Today Tomorrow, Forever.
Until Technology sufficiently revolutionizes society so that we can spend all day in our flying car enjoying our Leisure.
And how are you going to do this?
whoa, Hey! look at the time...
This week, we are supposed to be talking about what makes a good question.
uh... Yea I guess that's important... no that's really important and I someday hope to be any good at that at all. But I am much much more interested in good answers. and here's why:
Oh so many of them are so so terrible.
 RIGHT!
Meet Tom: Tom grew up in a house that spoke French and English, moved to France, majored in Renaissance Literature, currently lives in Paris, and teaches creative writing at the Sorbonne.
He is really good at French.
Meet Bob: Bob has been using Rosetta Stone to learn to speak French. He is on Day 10. He likes to watch his favorite movies with the audio set to French. Progress is slow.
See where I am going with this right?
If Bob asks what the third-person plural, imperative form of "to be" is? What he wants is the shortest possible, most direct answer. Phrased in a way he can comprehend with his limited skill set.
If he asks Tom, he might get an answer that is meaningful to him, but he might get a 75 page thesis on why there kind of isn't a third person imperative form of "To be" in French
in short the answer must take into account the learning level of the questioner.
I forgot Alan, Alan is 4 week into his second semester of college French. In many ways he is really the guy Bob should talk to, but it depends on the question. Alan is really strong on the foundations. "How do you say "Duck" but not like the fowl, like the verb, to crouch down lest you get a pie in the face Duck!(again the imperative.)
Oh but Alan is not um, how to say this, Bob intimidates the hell out of Alan so, when Alan tries to explain that there kinda of isn't an imperative for or "To Be".. his answer is a little muddled, because A: It's a subtle question who's answer is challenging. B: Alan doesn't have a super great handle on the answer anyway, and C: Because he is a little intimidated, Alan goes way overboard on the answer dragging in other concepts as examples to explain the in it. Which of course Bob has no context for.
So where to go with this? Well, for me, I must always remember that I am currently a Bob, hopefully on my way to becoming an Alan.
There are so many answers that fly right over my head. The kids on Stack overflow so often seem to value complexity over simplicity.
but that may not be a bad thing just a bad thing for me.
Today I am learning French, and all I want is to write grammatically correct sentences. Tomorrow, hopefully, tomorrow I will write poetry.


The origin web server timed out responding to this request.
Please try again in a few minutes.
The connection to the origin web server was made, but the origin web server timed out before responding. The likely cause is an overloaded background task, database or application, stressing the resources on your web server. To resolve, please work with your hosting provider or web development team to free up resources for your database or overloaded application. Additional troubleshooting information here.


I don't have a long term goal, i never really had any dreams as a kid either. So what I’m hoping for is to see what kind of cool things can come from code and decide then.
When it comes to learning I would say I’m an outlier. Sometimes I simply can’t write anything and others i write too much and have to delete a lot of stuff that isn't relevant to the program.
But other than that for this specific course i don’t have a good enough computer for running the programs, I usually use a computer supplied by Taiki e.
I do have the option to take it home if I fall behind with work.
Now as for human skills I would like to improve or develop through E.D.A are Just basic communication skills,
I’m not the greatest when it comes to talking with others or being open with others.
I tend to have a hard time asking for help and try to handle things on my own, how would I overcome this shortcoming? Well there are a lot of helpful people and resources, just kinda on hand. (feels so wrong to refer to people as a resource)
Time management is hard. Mostly estimating how long something will take.
If things get too much I’ll just take a break and hope for the best.
I’ll try to ask for help when the time comes.


Calculation Type:
Title:
Initialization value*:
This is not a valid float number!
Initialization value must be >= 0
Litre Per Pulse
Number Of Trees
Trees Per Acre
Offset
This is not a valid float number!
Scale Factor:
This is not a valid float number!
id = {{pd}} name = {{get_parent_by_id(pd).title}}
add {{dataset.calculation_type.selected_components - dataset.parent_ids.length }} parent dataset to dataset
Search by name:
{{ds.title}} id = {{ds.id}}
� Prev
{{n+1}}
Next �


11
1 Give generously to others some of the money that you have;
if you do that, later you will get back an equal amount.
2 Share some of what you have with seven or eight others,
because you do not know when you will experience a disaster and will need their help.
3 It is true that when clouds are full of water,
they pour rain on the earth.
Similarly, wherever a tree falls on the ground,
that is where it will remain.
4 If farmers see in what direction the wind is blowing,
they will know whether it is wise at that time to plant things or not.
It is also true that if farmers look at the clouds and see that they are blowing from the west and will bring rain,
they will not try to harvest their crops on that day.
5 We do not know where the wind comes from or where it goes,
and we do not know how bodies are formed in a woman's womb.
Similarly, God is the one who makes everything,
and we cannot fully understand what he does.
6 Start planting your seeds in the morning,
and do not stop planting them until the evening,
because you do not know which ones will grow better,
the ones you plant in the morning or the ones you plant later in the day,
or whether both will grow well.
7 It is very delightful to be alive
and see the sun rise every morning.
8 Even if people live for many years,
they should enjoy all of them.

Enjoy doing the things that you want to do.
But do not forget that God will judge you one day
concerning all the things that you do.
10 So when you are young, do not worry about anything,
and do not pay attention to the pains that you have in your body,
because we will not remain young and strong forever.


Given a custom element type MyExampleElement
which you want to dispatch event type sample
on, write this:
defineEventAttributes(MyExampleElement, ['sample']);
Et voilà! MyExampleElement
now supports the onsample
HTML attribute and has an onsample
property on its prototype.
If you’re using the old Custom Events style where you only define a prototype and pass it like MyExampleElement = document.registerElement('my-example', {prototype: MyExampleElementPrototype})
, then pass {prototype: MyExampleElementPrototype}
to defineEventAttributes
as well; it’ll work.
Note that I have not attempted to make this any more general; it only applies to the specified custom events. If you try to define custom element events on HTMLElement
, for example, you’ll end up with the JavaScript properties working, but the HTML attributes not being linked to it in any way. So don’t bother. (If it were deemed a good idea, a mutation observer could be employed directly to make it work, but I’m not interested in that, at present at least.)
<my-example>
element! (#one)<my-example>
element (#two), and I have an onsample
attribute also (it’s noisy; )


The Basics of the web
The basics of the web are html(hyper text markup language - the programming language behind web pages) URLS(URLS are web address that point to each page. HTTP ( hyper text transfer protocal is the protocal the entire web runs on) Web applications(complex programs on the web)
Major pieces of the web
You (browser and computer) The internet,HTTP, servers. The computer uses a browser to send an http request to a server. The server responds over http with the HTML document requested.The browser on the computer reads the html and displays the webpage.HTML
Hyper text markup language - created int he 90s - contains 30 billion pages. HTML markup contains tags. Tags consist of opening tags and closing tags. THe whole markup containg the opening tag, the closing tag and the content of the tags is called an element. Some tags do not have a closing tag. These tags are called void tags. An attribute is a property of an HTML element. For example the href is an attribute of the a tag.Inline and block elements
Block elements are surrounded by an invisible box that seperate them from other elements.  All punctuation must be correct pertaining to the language used. A small mistake can cause big problems in a program.


Project Dependencies
compile
The following is a list of compile dependencies for this project. These dependencies are required to compile and run the application:
| GroupId | ArtifactId | Version | Type | Licenses | Optional |
|---|---|---|---|---|---|
| org.joda | joda-convert | 1.9.2 | jar | Apache 2 | Yes |
test
The following is a list of test dependencies for this project. These dependencies are only required to compile and run unit tests for the application:
| GroupId | ArtifactId | Version | Type | Licenses |
|---|---|---|---|---|
| junit | junit | 3.8.2 | jar | Common Public License Version 1.0 |
Project Transitive Dependencies
No transitive dependencies are required for this project.
Project Dependency Graph
Dependency Tree
- joda-time:joda-time:jar:2.10.6
Joda-Time Description: Date and time library to replace JDK date handling
URL: https://www.joda.org/joda-time/
Project Licenses: Apache License, Version 2.0
- org.joda:joda-convert:jar:1.9.2 (compile)
Joda-Convert Description: Library to convert Objects to and from String
URL: http://www.joda.org/joda-convert/
Project Licenses: Apache 2
- junit:junit:jar:3.8.2 (test)
JUnit Description: JUnit is a regression testing framework written by Erich Gamma and Kent Beck. It is used by the developer who implements unit tests in Java.
URL: http://junit.org
Project Licenses: Common Public License Version 1.0
- org.joda:joda-convert:jar:1.9.2 (compile)
Licenses
Apache 2: Joda-Convert
Apache License, Version 2.0: Joda-Time
Common Public License Version 1.0: JUnit
Dependency File Details
| Total | Size | Entries | Classes | Packages | Java Version | Debug Information |
|---|---|---|---|---|---|---|
| Filename | Size | Entries | Classes | Packages | Java Version | Debug Information |
| junit-3.8.2.jar | 120.6 kB | 120 | 102 | 6 | 1.2 | Yes |
| joda-convert-1.9.2.jar | 117.5 kB | 110 | 97 | 2 | 1.6 | Yes |
| 2 | 238.1 kB | 230 | 199 | 8 | 1.6 | 2 |
| compile: 1 | compile: 117.5 kB | compile: 110 | compile: 97 | compile: 2 | - | compile: 1 |
| test: 1 | test: 120.6 kB | test: 120 | test: 102 | test: 6 | - | test: 1 |


Coroner: Man's death on hunting trip ruled accidental
HARMONSBURG, Pa. (AP) - Authorities say a man died following a hunting accident in western Pennsylvania over the weekend.
State police in Meadville say 19-year-old Jacob Smith of Linesville was hunting with friends in Summit Township near the Conneaut Lake Park amusement park.
The Crawford County coroner said Smith was removing items from a hunting sled when his shotgun accidentally went off shortly before 8:30 a.m. Saturday.
Coroner Scott Schell told the Meadville Tribune that shotgun pellets struck Smith in the abdomen. He was taken to Meadville Medical Center, where he was pronounced dead.
Schell ruled Smith's death accidental. State police and the Pennsylvania Game Commission are investigating.
Copyright 2019 The Associated Press. All rights reserved. This material may not be published, broadcast, rewritten or redistributed.


react-geo
Components
Github
A set of geo related modules
to use in combination with with
react
,
antd
and
ol
.
Create your own WebGIS easily with the power of React, antd and OpenLayers
Check out
examples
and
feature list
for full functionality of react-geo.
GeometryUtil features
Map components
Previous
Next


NCIP Open Source
Supporting
Cancer Research
with Open Source
Visit
ncip.nci.nih.gov
Wiki Pages
Recently updated
View All on GitHub
Statistics
public repos
members
<EMAIL_ADDRESS>Cancer Biology and Genomics
Clinical and Translational
Semantics and Interoperability


Now based on mojombo/jekyll
Sports a semantic HTML5 template
Easy theming with Compass and Sass
A Mobile friendly responsive (320 and up) layout
Built in 3rd party support for Twitter, Google Plus One, Disqus Comments, Pinboard, Delicious, and Google Analytics
Deploy to Github pages or use Rsync
Built in support for POW and Rack servers
Beautiful Solarized syntax highlighting
Super easy setup and configuration
New Plugins, Filters, & Generators
Gist Tag for easily embedding gists in your posts
Pygments Cache makes subsequent compiling much faster
Include Code Tag lets you embed external code snippets from your file system and adds a download link
Pullquote Tag Generate beautiful semantic pullquotes (no double data) based on Maykel Loomans's technique
Blockquote Tag makes it easy to semantically format blockquotes
Category Generator gives you archive pages for each category
Sitemap.xml Generator for search engines


Upcoming Community Events: 2019, Week 47
by Bart VeldhuizenWe recently introduced the Community Events calendar on Blender Artists. Every Friday, I'll post a weekly overview of upcoming events for the next week here.
Here's an overview of upcoming community events around the world:
- Nov 21-25. Blender at CTNX 2019, Burbank, California. Meet Julien, Hjalti and Francesco!
- Nov 23. Denver Blender User Group (DeBUG) First Meeting - Blender Beginner’s Guide to Making Abstract Art
- Nov 23. Los Angeles Blender Users Group Meeting
- Nov 26. Deadline of Sketchfab Sculpting Challenge: Stylized Animal
- Nov 27. Spokane Wa Blender Meetup. First time!
- Nov 27. Deadline of CG Boost Challenge: Baby Robot
That's not all! See all upcoming events on the Community Agenda. Here's how to add your own events.


The Power of Customers is a function of the following factors:
- Bargaining leverage
- Buyer volume
- Buyer information
- Brand identity
- Price sensitivity
- Threat of backward integration
- Product differentiation
- Buyer concentration vs. industry
- Substitutes available
- Buyers' incentives


Main Page
Share your  holiday dreams
And find the perfect partner to fullfill it
Find your holiday partnerMeet a partner for your best holiday
-
Bradley Hunter
Based in Chicago. I love playing tennis and loud music.
-
Lucas Marsha
I get my inspiration from nature and objects around me. I have a passion to colours, typography and skatesboards.
-
Heather Walker
I'm a happy person that loves cats and climbing on mountains.
-
Bradley Hunter
Based in Chicago. I love playing tennis and loud music.


Gogglebox star and Queen of the Jungle's Scarlett Moffatt earns £3m in two years
Enjoying the fruits of her labours, she splashed out £300,000 on a luxury house for herself... and also helped her parents pay for their home
by Janine YaqoobScarlett Moffatt’s earnings are mind-Goggling – as the telly favourite rakes in £3million in two years.
After rising to fame on Channel 4’s Gogglebox, she was crowned Queen of the Jungle on I’m A Celebrity in 2017.
She swiftly became a woman in demand –joining Ant and Dec’s Saturday Night Takeaway and hosting I’m A Celeb Extra Camp until this year.
Enjoying the fruits of her labours, she splashed out £300,000 on a luxury house for herself... and also helped her parents pay for their home.
Latest accounts for the firm that handles her TV and media work reveal that she paid herself £240,000 this year.
Scarlett, 27, took home £448,000 from Northern Unicorn Productions Ltd in 2018.
She has paid £200,000 in tax in two years.
It means that before costs and deductible expenditure, plus investments such as housing were subtracted by her accountant, she raked in close to £3m in two years.
A source says: “She is now a very wealthy young woman and is earning more each year. She’s delighted to be in this position.”
Scarlett revealed during her stint in the Aussie jungle that she’d been able to pay off the mortgage on her parents’ house in County Durham.
She said: “Oh it was the best. I just wrote them a letter and said, ‘Thanks for being mint’, and ‘Sorry for leaving fake tan all over the house’, and then I put a cheque in for them.”
They have since moved to a larger house with her help.
Scarlett’s most recent show, The British Tribe Next Door, has been called exploitative and uncomfortable viewing by some critics.
It sees her and her family living alongside a group of cattle herders in the African village of Otjeme, Namibia.
But viewers have come round to the concept, praising its sentiment.


This page was last edited on 14 December 2019 by Hui
Installation Guide
The following steps can help you install LRRS on your local machine or an online server:1. Install Web server
You need web server to run this web application. you can use any webserver that can run PHP Scripts. some good web servers include APACHE web server , XAMPP and easy PHP Server.
2. Install php 7 or later in your server (you can skip this step if you have php installed in your server)
3. Install MYSQL in your machine
4. Install Database Management tool to easily manage MYSQL databases. PhpMyAdmin is good example.
5. Import LRRS database into your MYSQL Database Server using LRRS.sql Sql Script.
6. Extract LRRS_Code.zip file in the root directory of your WebServer.
7. Now you can Test the System using your browser
for local host installation ,the URL could be something like (http://localhost/lrr/)
The initial database includes one admin user with the following credentials :
email<EMAIL_ADDRESS>Password : admin@admin.com


Twitch Profile Panels
Dear, Twitch: you are free to use this... please use this... or hire me to make your profile pages better!
- Pure CSS, not dependent on JS
- Responsive from/to ANY device width
- Consistent, automatic row height
- Every field is optional
- None of that masonry absolute positioning garbage
This prototype was built using Tailwind CSS and Vue.js for the sake of quickness and simplicity


At the Neighbor Network, we believe in the power of local business. That is why we have developed a platform for neighbors to be able to find each other by profession, and communicate with them directly.
We will ask you for your address, once time. Once you have provided that, we will use that to locate your neighbors. They will never see your address from us.
Our user experience is incredibly simple to use. Search for a provider, and have a list display instantly. You can also add a service you want to provide too.
Here at the Neighbor Network, we are highly focused on keeping your data secure. We are utilizing top security technology to protect against the most modern hack methods to keep your data secure.
"The power of Neighbor Network is that I can go on, search for a service, and find someone that lives close by to do business with. It doesn't include all the drama of a social network either. Clean and Simple."
"As a mechanic, the Neighbor Network made it easy to post my service. I can help my neighbors out with their automotive problems. The Neighbor Network has really allowed me to become a trusted resource for all of our car needs."


I like to make things and track things.
- This site's colophon.
- Things I like.
- Salty, old letters.
- Things I bought that were rubbish.
- About living in Britain.
- The books I've read.
- A blogroll of faves.
- Weekly reporting on my life.
I like to make things and track things.


Rules
#1 Send mail notification on deadline date
Fields: TASK DEADLINE
When:
DATE >= DeadlineDate-1
When:
DATE >= DeadlineDate-1
Recipients
requester
followers
uploaders
requester
followers
uploaders
#2 Send mail notification before deadline date
Fields: TASK DEADLINE
When:
DATE >= DeadlineDate-1
When:
DATE >= DeadlineDate-1
Recipients
requester
followers
uploaders
requester
followers
uploaders
#3 Send mail notification after deadline date
Fields: TASK DEADLINE
When:
DATE >= DeadlineDate-1
When:
DATE >= DeadlineDate-1
Recipients
requester
followers
uploaders
requester
followers
uploaders
#4 Send mail notification on comment
Fields: TASK DEADLINE
When:
on comment
When:
on comment
Recipients
requester
followers
uploaders
requester
followers
uploaders


FAQ for Students
How do I become a general member of the Business Career & Networking Club?
Unlike most student organizations, the Business Career & Networking Club does not offer general membership and consists solely of an Executive Board. However, all of our events and services are completely free and available to all students at UC Davis!
When can I apply to become a member of the Executive Board?
The Business Career & Networking Club is unique in that we operate like a small startup company. Our recruitment needs are determined by the number of open board positions and our demand for specific job functions. Although most of our recruitment takes place in the Fall and Spring quarters, BCNC does not follow a fixed onboarding schedule.
FAQ for Undergraduate Business Organizations
We are a new student business group at UC Davis and would like to become a BCNC Partner Organization! How do we get started?
Thank you for your interest in becoming a BCNC Partner! We would love to learn more about your organization before discussing potential partnership. To get started, please reach out to our email at<EMAIL_ADDRESS>with “Partner Organization Request” as your subject line.
What are the benefits of becoming a BCNC Partner Organization?
Great question! As a BCNC Partner Organization, you will be able to advertise your upcoming events on our Weekly Newsletter, participate in our Brand Ambassadors Program and student networking events, and much more!
FAQ for Professionals
How do we get involved with the Business Career & Networking Club?
Our team provides marketing services to our professional organizations through career fairs, information sessions, and social media posts. For specific requests or inquiries, please reach out to our email at contactbcnc@gmail.com.


| Internet Access Methods |
| Product: |
IAM-THERE.COM |
| Description: |
IAM-THERE.COM is a portal for purchasing Real-Time Interactive P2P applications. IAM-THERE.COM provides user accounts for authenticated interaction for all applications sold on the site. Professional Services available through any of these applications (via "Expert Service Providers") can also be obtained from this site. |
| System Requirements: |
N/A |
| Availability & Pricing: |
Call for pricing information |
| Target Markets: |
Industry |
| Contact: |
Christine Thelmo
VP, Business Development
<EMAIL_ADDRESS>212-580-2700, x140 |
| Website: |
http://www.iamethods.com/ |


This list box will display the authors names for previous messages that you have printed by author. For instance, if you previously selected all the messages posted by 'user_name' then the next time you open this dialog box 'user_name' will appear as an item in this list. You can also type a new name into this box.


{% extends "base.html" %} {% load static %} {% block title %}Sabbath Redirect{% endblock %} {% block page_description %}{% endblock %} {% block content %}
Hello and thank you for your interest in this website.
We value family and love our Heavenly Father, Yahweh and we choose to keep the Holy days and Feast days that He has given us to celebrate in the Bible. One of these Holy days, the weekly Sabbath, is a set-apart day of rest for Yahweh's people.
It is a blessing from Yahweh and a delight to have a day of rest so that we can grow closer to the One who made us and not forget what really matters. For these reasons, we do not have the majority of our website open to the public on these set-apart days.
You can come back on the first day of the week (commonly called "sunday") when our website will be open to the public again. Thank you for your understanding!


Waterford's psychiatric nurses to strike in overcrowding protest
by By Digital Desk staffPsychiatric nurses are to strike later today to highlight overcrowding in a unit at University Hospital Waterford.
They say unprecedented levels of overcrowding, and staffing shortages, are continuously compromising standards of care for service users and placing staff working in the psychiatric unit under "intolerable pressure".
Pictures released first in the Irish Examiner show patients sleeping on the floor of the Psychiatric Unit in University Hospital Waterford.
READ MORE
Healthcare chief apologises as images emerge of psychiatric patients sleeping on floor
The Psychiatric Nurses Association says mental health services have been massively neglected since the recession in 2008, with hundreds of nurses moving abroad and several hundred vacancies in the service.
Industrial relations officer with the PNA Michael Hayes says those in authority need to stop burying their heads in the sand.
"There is no one in the HSE (or) Health Commission (or) Government that doesn't know this is going on," he said.
"No one there can say they don't know it's going on for the last two years. We're looking for a commitment now to ensure that this never happens again."
READ MORE
Teen in Waterford psychiatric unit saw other patients covered in urine and faeces


Classification pipeline reference
Pipeline root properties
activation
type: string
Activation function that should be used in last layer. In the case of binary classification it usually should be sigmoid
if you have
more then one class than most likely you need to use softmax
, but actually you are free to use any activation function that is
registered in Keras
Example:
activation: sigmoid
experiment_result
type: string
Metric to calculate against the combination of all stages and report in allStages
section of summary.yaml file after all experiment instances are finished.
Uses metric name detection mechanism to search for the built-in metric or for a custom function with the same name across project modules.
Metric name may have val_
prefix or _holdout
postfix to indicate calculation against validation or holdout, respectively.
Example:
experiment_result: matthews_correlation_holdout
architecture
type: string
This property configures decoder architecture that should be used:
At this moment classification pipeline supports following architectures:
Example:
architecture: FPN
augmentation
type: complex
IMGAUG transformations sequence. Each object is mapped on IMGAUG transformer by name, parameters are mapped too.
Example:
transforms:
Fliplr: 0.5
Affine:
translate_px:
x:
- -50
- +50
y:
- -50
- +50
batch
type: integer
Sets up training batch size.
Example:
batch: 512
classes
type: integer
Number of classes that should be used.
Example:
callbacks
type: array of callback instances
Sets up training-time callbacks. See individual callback descriptions.
Example:
callbacks:
EarlyStopping:
patience: 100
monitor: val_binary_accuracy
verbose: 1
ReduceLROnPlateau:
patience: 16
factor: 0.5
monitor: val_binary_accuracy
mode: auto
cooldown: 5
verbose: 1
copyWeights
type: boolean
Whether to copy saved weights.
Example:
copyWeights: true
clipnorm
type: float
Maximum clip norm of a gradient for an optimizer.
Example:
clipnorm: 1.0
clipvalue
type: float
Clip value of a gradient for an optimizer.
Example:
clipvalue: 0.5
crops
type: integer
Defines the number of crops to make from original image by setting the single number of single dimension cells. In example, the value of 3 will split the original image into 9 cells: 3 by horizontal and 3 by vertical.
Example:
crops: 3
dataset
type: complex object
Key is a name of the python function in scope, which returns training data set. Value is an array of parameters to pass to a function.
Example:
dataset:
getTrain: [false,false]
datasets
type: map containing complex objects
Sets up a list of available data sets to be referred by other entities.
For each object, key is a name of the python function in scope, which returns training dataset. Value is an array of parameters to pass to a function.
Example:
datasets:
test:
getTest: [false,false]
dataset_augmenter
type: complex object
Sets up a custom augmenter function to be applied to a dataset. Object must have a name property, whic will be used as a name of the python function in scope. Other object properties are mapped as function arguments.
Example:
dataset_augmenter:
name: TheAugmenter
parameter: test
dropout
type: float
Example:
extra_train_data
type: string
Name of the additional dataset that will be added (per element) to the training dataset before train launching.
Example:
folds_count
type: integer
Number of folds to train. Default is 5.
Example:
freeze_encoder
type: boolean
Whether to freeze encoder during the training process.
Example:
freeze_encoder: true
stages:
- epochs: 10 #Let's go for 10 epochs with frozen encoder
- epochs: 100 #Now let's go for 100 epochs with trainable encoder
unfreeze_encoder: true
final_metrics
type: array of strings
Metrics to calculate against every stage and report in stages
section of summary.yaml file after all experiment instances are finished.
Uses metric name detection mechanism to search for the built-in metric or for a custom function with the same name across project modules.
Metric name may have val_
prefix or _holdout
postfix to indicate calculation against validation or holdout, respectively.
Example:
final_metrics: [measure]
holdout
type: ````
Example:
imports
type: array of strings
Imports python files from modules
folder of the project and make their properly annotated contents to be available to be referred from YAML.
Example:
imports: [ layers, preprocessors ]
this will import layers.py
and preprocessors.py
inference_batch
type: integer
Size of batch during inferring process.
Example:
loss
type: string
Sets the loss name.
Uses loss name detection mechanism to search for the built-in loss or for a custom function with the same name across project modules.
Example:
loss: binary_crossentropy
lr
type: float
Learning rate.
Example:
lr: 0.01
manualResize
type: boolean
Setting this property to true, will disable auto resize that is performed by pipeline
Example:
manualResize: true
metrics
type: array of strings
Array of metrics to track during the training process. Metric calculation results will be printed in the console and to metrics
folder of the experiment.
Uses metric name detection mechanism to search for the built-in metric or for a custom function with the same name across project modules.
Metric name may have val_
prefix or _holdout
postfix to indicate calculation against validation or holdout, respectively.
Example:
metrics: #We would like to track some metrics
- binary_accuracy
- binary_crossentropy
- matthews_correlation
num_seeds
type: integer
If set, training process (for all folds) will be executed num_seeds
times, each time resetting the random seeds.
Respective folders (like metrics
) will obtain subfolders 0
, 1
etc... for each seed.
Example:
optimizer
type: string
Sets the optimizer.
Example:
optimizer: Adam
primary_metric
type: string
Metric to track during the training process. Metric calculation results will be printed in the console and to metrics
folder of the experiment.
Besides tracking, this metric will be also used by default for metric-related activity, in example, for decision regarding which epoch results are better.
Uses metric name detection mechanism to search for the built-in metric or for a custom function with the same name across project modules.
Metric name may have val_
prefix or _holdout
postfix to indicate calculation against validation or holdout, respectively.
Example:
primary_metric: val_macro_f1
primary_metric_mode
type: enum: auto,min,max
default: auto
In case of a usage of a primary metrics calculation results across several instances (i.e. batches), this will be a mathematical operation to find a final result.
Example:
primary_metric_mode: max
preprocessing
type: complex
Preprocessors are the custom python functions that transform dataset.
Such functions should be defined in python files that are in a project scope (modules
) folder and imported.
Preprocessing functions should be also marked with @preprocessing.dataset_preprocessor
annotation.
preprocessing
instruction then can be used to chain preprocessors as needed for this particular experiment, and even cache the result on disk to be reused between experiments.
Preprocessors contain some of the preprocessor utility instructions.
Example:
preprocessing:
- binarize_target:
- tokenize:
- tokens_to_indexes:
maxLen: 160
- disk-cache:
random_state
type: integer
The seed of randomness.
Example:
shape
type: array of integers
Shape of the input picture, in the form heigth,width, number of channels, all images will be resized to this shape before processing
Example:
shape: [440,440,3]
stages
type: complex
Sets up training process stages. Contains YAML array of stages, where each stage is a complex type that may contain properties described in the Stage properties section.
Example:
stages:
- epochs: 6
- epochs: 6
lr: 0.01
stratified
type: boolean
Whether to use stratified strategy when splitting training set.
Example:
testSplit
type: float 0-1
Splits the train set into two parts, using one part for train and leaving the other untouched for a later testing. The split is shuffled.
Example:
testSplit: 0.4
testSplitSeed
type: ````
Seed of randomness for the split of the training set.
Example:
testTimeAugmentation
type: string
Test-time augumentation function name. Function must be reachable on project scope, accept and return numpy array.
Example:
transforms
type: complex
If yes, why are we having pure IMGAUG in generic called just "transforms", maybe we should call it "imageTransforms" or simply "imgaug". Btw, isnt it crossing with preprocessing, maybe we should just create "imgaug" preprocessor with all these goodies inside?
IMGAUG transformations sequence. Each object is mapped on IMGAUG transformer by name, parameters are mapped too.
Example:
transforms:
Fliplr: 0.5
Affine:
translate_px:
x:
- -50
- +50
y:
- -50
- +50
validationSplit
type: float
Float 0-1 setting up how much of the training set (after holdout is already cut off) to allocate for validation.
Example:
weights
type: string
This property configures initial weights of the encoder, supported values:
imagenet
Example:
weights: imagenet
Callback types
EarlyStopping
Stop training when a monitored metric has stopped improving.
Properties:
- patience - integer, number of epochs with no improvement after which training will be stopped.
- verbose - 0 or 1, verbosity mode.
- monitor - string, name of the metric to monitor
- mode - auto, min or max; In min mode, training will stop when the quantity monitored has stopped decreasing; in max mode it will stop when the quantity monitored has stopped increasing; in auto mode, the direction is automatically inferred from the name of the monitored quantity.
Example
callbacks:
EarlyStopping:
patience: 100
monitor: val_binary_accuracy
verbose: 1
ReduceLROnPlateau
Reduce learning rate when a metric has stopped improving.
Properties:
- patience - integer, number of epochs with no improvement after which training will be stopped.
- cooldown - integer, number of epochs to wait before resuming normal operation after lr has been reduced.
- factor - number, factor by which the learning rate will be reduced. new_lr = lr * factor
- verbose - 0 or 1, verbosity mode.
- monitor - string, name of the metric to monitor
- mode - auto, min or max; In min mode, training will stop when the quantity monitored has stopped decreasing; in max mode it will stop when the quantity monitored has stopped increasing; in auto mode, the direction is automatically inferred from the name of the monitored quantity.
Example
callbacks:
ReduceLROnPlateau:
patience: 16
factor: 0.5
monitor: val_binary_accuracy
mode: auto
cooldown: 5
verbose: 1
CyclicLR
Cycles learning rate across epochs.
Functionally, it defines the cycle amplitude (max_lr - base_lr). The lr at any cycle is the sum of base_lr and some scaling of the amplitude; therefore max_lr may not actually be reached depending on scaling function.
Properties:
- base_lr - number, initial learning rate which is the lower boundary in the cycle.
- max_lr - number, upper boundary in the cycle.
- mode - one of
triangular
,triangular2
orexp_range
; scaling function. - gamma - number from 0 to 1, constant in 'exp_range' scaling function.
- step_size - integer > 0, number of training iterations (batches) per half cycle.
Example
callbacks:
CyclicLR:
base_lr: 0.001
max_lr: 0.006
step_size: 2000
mode: triangular
LRVariator
Changes learning rate between two values
Properties:
- fromVal - initial learning rate value, defaults to the configuration LR setup.
- toVal - final learning value.
- style - one of the following:
- linear - changes LR linearly between two values.
- const - does not change from initial value.
- cos+ -
-1 * cos(2x/pi) + 1 for x in [0;1]
- cos- -
cos(2x/pi) for x in [0;1]
- cos - same as 'cos-'
- sin+ -
sin(2x/pi) x in [0;1]
- sin- -
-1 * sin(2x/pi) + 1 for x in [0;1]
- sin - same as 'sin+'
- any positive float or integer value - x^a for x in [0;1]
Example
TensorBoard
This callback writes a log for TensorBoard, which allows you to visualize dynamic graphs of your training and test metrics, as well as activation histograms for the different layers in your model.
Properties:
- log_dir - string; the path of the directory where to save the log files to be parsed by TensorBoard.
- histogram_freq - integer; frequency (in epochs) at which to compute activation and weight histograms for the layers of the model. If set to 0, histograms won't be computed. Validation data (or split) must be specified for histogram visualizations.
- batch_size - integer; size of batch of inputs to feed to the network for histograms computation.
- write_graph - boolean; whether to visualize the graph in TensorBoard. The log file can become quite large when write_graph is set to True.
- write_grads - boolean; whether to visualize gradient histograms in TensorBoard. histogram_freq must be greater than 0.
- write_images - boolean; whether to write model weights to visualize as image in TensorBoard.
- embeddings_freq - number; frequency (in epochs) at which selected embedding layers will be saved. If set to 0, embeddings won't be computed. Data to be visualized in TensorBoard's Embedding tab must be passed as embeddings_data.
- embeddings_layer_names - array of strings; a list of names of layers to keep eye on. If None or empty list all the embedding layer will be watched.
- embeddings_metadata - a dictionary which maps layer name to a file name in which metadata for this embedding layer is saved. See the details about metadata files format. In case if the same metadata file is used for all embedding layers, string can be passed.
- embeddings_data - data to be embedded at layers specified in embeddings_layer_names.
- update_freq -
epoch
orbatch
or integer; When using 'batch', writes the losses and metrics to TensorBoard after each batch. The same applies for 'epoch'. If using an integer, let's say 10000, the callback will write the metrics and losses to TensorBoard every 10000 samples. Note that writing too frequently to TensorBoard can slow down your training.
Example
callbacks:
TensorBoard:
log_dir: './logs'
batch_size: 32
write_graph: True
update_freq: batch
Stage properties
callbacks
type: array of callback instances
Sets up training-time callbacks. See individual callback descriptions.
Example:
callbacks:
EarlyStopping:
patience: 100
monitor: val_binary_accuracy
verbose: 1
ReduceLROnPlateau:
patience: 16
factor: 0.5
monitor: val_binary_accuracy
mode: auto
cooldown: 5
verbose: 1
epochs
type: integer
Number of epochs to train for this stage.
Example:
extra_callbacks
freeze_encoder
type: boolean
Whether to freeze encoder during the training process.
Example:
freeze_encoder: true
stages:
- epochs: 10 #Let's go for 10 epochs with frozen encoder
- epochs: 100 #Now let's go for 100 epochs with trainable encoder
unfreeze_encoder: true
initial_weights
type: string
Fil path to load stage NN initial weights from.
Example:
initial_weights: /initial.weights
negatives
type: string or integer
The support of binary data balancing for training set.
Following values are acceptable:
- none - exclude negative examples from the data
- real - include all negative examples
- integer number(1 or 2 or anything), how many negative examples should be included per one positive example
In order for the system to determine whether a particular example is positive or negative,
the data set class defined by the dataset property should have isPositive
method declared
that accepts data set item and returns boolean.
Example:
stages:
- epochs: 6 #Train for 6 epochs
negatives: none #do not include negative examples in your training set
validation_negatives: real #validation should contain all negative examples
- lr: 0.0001 #let's use different starting learning rate
epochs: 6
negatives: real
validation_negatives: real
- loss: lovasz_loss #let's override loss function
lr: 0.00001
epochs: 6
initial_weights: ./fpn-resnext2/weights/best-0.1.weights #let's load weights from this file
loss
type: string
Sets the loss name.
Uses loss name detection mechanism to search for the built-in loss or for a custom function with the same name across project modules.
Example:
loss: binary_crossentropy
lr
type: float
Learning rate.
Example:
unfreeze_encoder
type: boolean
Whether to unfreeze encoder during the training process.
Example:
freeze_encoder: true
stages:
- epochs: 10 #Let's go for 10 epochs with frozen encoder
- epochs: 100 #Now let's go for 100 epochs with trainable encoder
unfreeze_encoder: true
validation_negatives
type: string or integer
The support of binary data balancing for validation set.
Following values are acceptable:
- none - exclude negative examples from the data
- real - include all negative examples
- integer number(1 or 2 or anything), how many negative examples should be included per one positive example
In order for the system to determine whether a particular example is positive or negative,
the data set class defined by the dataset property should have isPositive
method declared
that accepts data set item and returns boolean.
Example:
stages:
- epochs: 6 #Train for 6 epochs
negatives: none #do not include negative examples in your training set
validation_negatives: real #validation should contain all negative examples
- lr: 0.0001 #let's use different starting learning rate
epochs: 6
negatives: real
validation_negatives: real
- loss: lovasz_loss #let's override loss function
lr: 0.00001
epochs: 6
initial_weights: ./fpn-resnext2/weights/best-0.1.weights #let's load weights from this file
Preprocessors
type: complex
Preprocessors are the custom python functions that transform dataset.
Such functions should be defined in python files that are in a project scope (modules
) folder and imported.
Preprocessing functions should be also marked with @preprocessing.dataset_preprocessor
annotation.
Preprocessors
instruction then can be used to chain preprocessors as needed for this particular experiment, and even cache the result on disk to be reused between experiments.
Example:
preprocessing:
- binarize_target:
- tokenize:
- tokens_to_indexes:
maxLen: 160
- disk-cache:
cache
Caches its input.
Properties:
- name - string; optionally sets up layer name to refer it from other layers.
- inputs - array of strings; lists layer inputs.
Example:
disk-cache
Caches its input on disk, including the full flow. On subsequent launches if nothing was changed in the flow, takes its output from disk instead of re-launching previous operations.
Properties:
- name - string; optionally sets up layer name to refer it from other layers.
- inputs - array of strings; lists layer inputs.
Example:
preprocessing:
- binarize_target:
- tokenize:
- tokens_to_indexes:
maxLen: 160
- disk-cache:
split-preprocessor
An analogue of split for preprocessor operations.
Example:
split-concat-preprocessor
An analogue of split-concat for preprocessor operations.
Example:
seq-preprocessor
An analogue of seq for preprocessor operations.
Example:
augmentation
Preprocessor instruction, which body only runs during the training and is skipped when the inferring.
augmentation:
Fliplr: 0.5
Affine:
translate_px:
x:
- -50
- +50
y:
- -50
- +50
In this example, Fliplr
key is automatically mapped on Fliplr agugmenter,
their 0.5
parameter is mapped on the first p
parameter of the augmenter.
Named parameters are also mapped, in example translate_px
key of Affine
is mapped on translate_px
parameter of Affine augmenter.
fit script arguments
fit.py project
type: string
Folder to search for experiments, project root.
Example:
-m musket_core.fit --project "path/to/project"
fit.py name
type: string or comma-separated list of strings
Name of the experiment to launch, or a list of names.
Example:
-m musket_core.fit --name "experiment_name"
-m musket_core.fit --name "experiment_name1, experiment_name2"
fit.py num_gpus
type: integer
Default: 1
Number of GPUs to use during experiment launch.
Example:
-m musket_core.fit --num_gpus=1
fit.py gpus_per_net
type: integer
Default: 1
Maximum number of GPUs to use per single experiment.
Example:
-m musket_core.fit --gpus_per_net=1
fit.py num_workers
type: integer
Default: 1
Number of workers to use.
Example:
-m musket_core.fit --num_workers=1
fit.py allow_resume
type: boolean
Default: False
Whether to allow resuming of experiments, which will cause unfinished experiments to start from the best saved weights.
Example:
-m musket_core.fit --allow_resume True
fit.py force_recalc
type: boolean
Default: False
Whether to force rebuilding of reports and predictions.
Example:
-m musket_core.fit --force_recalc True
fit.py launch_tasks
type: boolean
Default: False
Whether to launch associated tasks.
Example:
-m musket_core.fit --launch_tasks True
fit.py only_report
type: boolean
Default: False
Whether to only generate reports for cached data, no training occurs.
Example:
-m musket_core.fit --only_report True
fit.py cache
type: string
Path to the cache folder. Cache folder will contain temporary cached data for executed experiments.
Example:
-m musket_core.fit --cache "path/to/cache/folder"
fit.py folds
type: integer or comma-separated list of integers
Folds to launch. By default all folds of experiment will be executed, this argument allows launching only some of them.
Example:
-m musket_core.fit --folds 1,2
task script arguments
task.py project
type: string
Folder to search for experiments, project root.
Example:
task.py --project "path/to/project"
task.py name
type: string or comma-separated list of strings
Name of the experiment to launch, or a list of names.
Example:
task.py --name "experiment_name"
task.py --name "experiment_name1, experiment_name2"
task.py task
type: string or comma-separated list of strings
Default: all tasks.
Name of the task to launch, or a list of names.
Example:
task.py --task "task_name"
task.py --task "task_name1, task_name2"
task.py --task "all"
task.py num_gpus
type: integer
Default: 1
Number of GPUs to use during experiment launch.
Example:
task.py --num_gpus=1
task.py gpus_per_net
type: integer
Default: 1
Maximum number of GPUs to use per single experiment.
Example:
task.py --gpus_per_net=1
task.py num_workers
type: integer
Default: 1
Number of workers to use.
Example:
task.py --num_workers=1
task.py allow_resume
type: boolean
Default: False
Whether to allow resuming of experiments, which will cause unfinished experiments to start from the best saved weights.
Example:
task.py --allow_resume True
task.py force_recalc
type: boolean
Default: False
Whether to force rebuilding of reports and predictions.
Example:
task.py --force_recalc True
task.py launch_tasks
type: boolean
Default: False
Whether to launch associated tasks.
Example:
task.py --launch_tasks True
task.py cache
type: string
Path to the cache folder. Cache folder will contain temporary cached data for executed experiments.
Example:
task.py --cache "path/to/cache/folder"
analyze script arguments
analyze.py inputFolder
type: string
Folder to search for finished experiments in. Typically, project root.
Example:
analyze.py --inputFolder "path/to/project"
analyze.py output
type: string
Default: report.csv
in project root.
Output report file path.
Example:
analyze.py --output "path/to/project/report/report.scv"
analyze.py onlyMetric
type: string
Name of the single metric to take into account.
Example:
analyze.py --onlyMetric "metric_name"
analyze.py sortBy
type: string
Name of the metric to sort result by.
Example:
analyze.py --sortBy "metric_name"


---
layout: post
title: ToxoDB 41 Released
category: [ToxoDB]
---
We are pleased to announce the release of ToxoDB 41
New data in ToxoDB 41
Transcriptomics - Microarray
PMRT1 KO, WT and KOCM expression profiles —
Expression profiles of arginine methyltransferase 1 (PMRT1) knockout, complement and wild type T. gondii RH-hxgprt parasites determined by Affymetrix microarray (Toxo Gene chip)
El Bissati et al.
Whole genome sequencing of isolate for SNP analysis
EuPathDB sites are now using Clustal Omega for gene page protein alignments in the 'Orthologs and Paralogs within EuPathDB' table and the
'Retrieve multiple sequence alignment or multi-FASTA' tool in the 'Orthology and synteny' section of gene pages. The 'Isolate Alignments in this Gene Region' tool
still uses CulstalW.
New Gene page tools
Interpro —
The 'Protein features and properties' section now includes an option to submit the protein sequence for
sequence analysis and classification via InterPro.
GPI anchor prediction —
The 'Protein features and properties' section now includes an option to submit the protein sequence for
GPI modification site prediction via the GPI Lipid Anchor Project.


|
||||||||||
| PREV CLASS NEXT CLASS | FRAMES NO FRAMES | |||||||||
| SUMMARY: NESTED | FIELD | CONSTR | METHOD | DETAIL: FIELD | CONSTR | METHOD |
java.lang.Object de.fhg.iml.vlog.xfvrp.XFVRP
public class XFVRP
XFVRP is central user interface for this suite. It combines all methods for data import, optimization execution, parameters and retrieval of solutions. The modeling of this class represents a state machine, where iteratively several methods must be called. The execution methods take all inserted data and parameters and start the optimizers.
| Constructor Summary | |
|---|---|
XFVRP()
|
| Method Summary | |
|---|---|
CustomerData |
addCustomer()
Akquire a customer data object to insert data for a new customer. |
DepotData |
addDepot()
Akquire a depot data object to insert data for a new depot. |
void |
addOptType(XFVRPOptType type)
Adds a certain optimization algorithm out of the spectrum of accessible methods in the enumeration XFVRPOptType. |
VehicleData |
addVehicle()
Akquire a vehicle data object to insert data for a new vehicle. |
void |
allowsAcceleratedMetric()
Activates the transformation of the metric into a faster representation |
void |
allowsFullOpenRoutes()
By activating this flag, routes start with the first customer and ending at the depot. |
void |
allowsLoadPlanning()
Activates the checking of loading constraints (Efficient Load) |
void |
allowsOpenRoutesAtEnd()
By activating this flag, routes end with the last customer and starting at the depot. |
void |
allowsOpenRoutesAtStart()
By activating this flag, routes start with the first customer and ending at the depot. |
void |
allowsRoutePlanSplitting()
Activates the splitting and optimization of route plan |
void |
clearCustomers()
Clears the state machine of all read customers |
void |
clearDepots()
Clears all added depots. |
void |
clearOptTypes()
Clears all added optimization algorithms |
void |
clearParameters()
All parameters are reset to default values (in most cases to false) |
void |
clearVehicles()
Removes all inserted vehicles and reset the planning parameters to default. |
void |
disableLifoInLoadPlanning()
Disables the lifo restriction in load planning, which means that repacking along the route could be necessary. |
void |
executeRoutePlanning()
Calculates the VRP with the before inserted data by addDepot(), addCustomer(), addMetric() and addVehicle() or the parameters setCapacity() and setMaxRouteDuration() |
Report |
getReport()
Uses the last planned solution and turns it into a report representation. |
void |
setCapactiy(float capacity)
Sets the maximal allowed capacity of a vehicle This procedure is only available for single vehicle VRPs, which means, that all already inserted vehicles will be removed and replaced by this default value. |
void |
setMaxNumberOfRoutes(int maxNumberOfRoutes)
Sets the maximal number of routes This procedure is only available for single vehicle VRPs, which means, that all already inserted vehicles will be removed and replaced by a default value. |
void |
setMaxNumberOfStopsPerRoute(int maxNbrOfStops)
Sets the maximal number of stops This procedure is only available for single vehicle VRPs, which means, that all already inserted vehicles will be removed and replaced by a default value. |
void |
setMaxRouteDuration(int maxRouteDuration)
Sets the maximal allowed route duration This procedure is only available for single vehicle VRPs, which means, that all already inserted vehicles will be removed and replaced by a default value. |
void |
setMetric(Metric metric)
Sets a metric, whereby the optimization can get information about the distance or time between nodes. |
void |
setPredefinedSolutionString(java.lang.String predefinedSolutionString)
With this parameter a predefined solution can be inserted into the XFVRP. |
| Methods inherited from class java.lang.Object |
|---|
equals, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait |
| Constructor Detail |
|---|
public XFVRP()
| Method Detail |
|---|
public void executeRoutePlanning()
public Report getReport()
public void setCapactiy(float capacity)
capacity
- Upper bound of amount, which can be transported on a route.public void setMaxRouteDuration(int maxRouteDuration)
maxRouteDuration
- Upper bound of time, which can be traveled on a route.public void setMaxNumberOfRoutes(int maxNumberOfRoutes)
maxNumberOfRoutes
- public void setMaxNumberOfStopsPerRoute(int maxNbrOfStops)
maxNbrOfStops
- public CustomerData addCustomer()
public DepotData addDepot()
public VehicleData addVehicle()
public void addOptType(XFVRPOptType type)
type
- algorithm type. it can't be null.public void setMetric(Metric metric)
metric
- public void clearCustomers()
public void clearOptTypes()
public void clearDepots()
public void clearVehicles()
public void clearParameters()
public void allowsAcceleratedMetric()
public void allowsRoutePlanSplitting()
public void allowsLoadPlanning()
public void disableLifoInLoadPlanning()
public void allowsOpenRoutesAtStart()
public void allowsOpenRoutesAtEnd()
public void allowsFullOpenRoutes()
public void setPredefinedSolutionString(java.lang.String predefinedSolutionString)
predefinedSolutionString
-
|
||||||||||
| PREV CLASS NEXT CLASS | FRAMES NO FRAMES | |||||||||
| SUMMARY: NESTED | FIELD | CONSTR | METHOD | DETAIL: FIELD | CONSTR | METHOD |


alert
confirm
customize buttons & values
confirm - Click cancel not close dialog
Small Dialog
Large Dialog
This is a sample!
show2


--- title: Understat DB keywords: fastai sidebar: home_sidebar summary: "Create a database using data from Understat." description: "Create a database using data from Understat." nb_path: "nbs/index.ipynb" ---
Understat DB is a project to scrape data from Understat and store it in a Postgres database. It aims to be a useful companion or starting point for projects using football data.
The simplest way to get started is to populate a local database with docker-compose
.
First, clone the repository:
git clone https://github.com/Torvaney/understat-db.git
cd understat-db
Then, setup the local environment
make env # Create a virtualenv and installs the project & dependencies
source venv/bin/activate # Activate the virtualenv
cp .env.sample .env # Copy default environment vars to .env
Run the database
docker-compose up -d db # Start a postgres database within a docker container
understat-db migrate # Create base database tables
Finally, import the data you want
understat-db ingest --leagues EPL --seasons 2020
To run this project you will need:
Pull requests are encouraged! For major changes, please open an issue first to discuss what you would like to change.


{% extends 'portal/base.html' %} {% load static %} {% block title %} UCSC Genome Browser track data hub {% endblock %} {% block content_header %} JASPAR UCSC Genome Browser tracks {% endblock %} {% block breadcrumb %}
1. Direct link
View the hg19 and hg38 tracks directly in the UCSC Genome Browser.
2. Track data hubs
Insert the JASPAR track data hub URL into your own UCSC Genome Browser session via "MyData => Track Hubs" by pasting the hub URL in the "URL:" box and clicking on "Add Hub".
JASPAR track data hub URL: http://expdata.cmmt.ubc.ca/JASPAR/UCSC_tracks/hub.txt
3. Download
Underlying TFBS prediction data is available for download and further analysis: http://expdata.cmmt.ubc.ca/JASPAR/downloads/UCSC_tracks/2018/
Example of dataset (random sample of lines):
Click on the JASPAR track details within the UCSC Genome browser to view the track help page:


{% load static from staticfiles %}
GraphicDen is a distinctive web tool directed towards creating a realtime graphical and visual representation of your data.
It does the tedious task of plotting graphs from complicated data for you , which is a long drawn out task if done manually.
The form of visual and graphical representation we offer includes bar graph,pie chart and line graph(more to come soon).
All you have to do is just upload the Excel spreadsheet format (.csv) and we will take care of the rest of it.
| Contact us at<EMAIL_ADDRESS>|


Fit for work
Select an answer based on how your condition is at the moment. If it changes, and you're ill for a longer or shorter time than expected, how you answer now will not affect your claim.
Select an answer based on how your condition is at the moment. If it changes, and you're ill for a longer or shorter time than expected, how you answer now will not affect your claim.


Home
|
GitHub
Draggable Elements
Please drag an ░ item and drop to another ░ item.
Rows of elements
Row 1
Row 2
Row 3
Line of elements
Item 1
Item 2
Item 3


Loading Signiant App...
Loading files from cloud storage...
Ports and Firewall Settings
License check:
Port 49221 for transfers: (Note this isn't going to Signiant transfer servers,
so may not be 100% accurate.)
Signiant Messaging Service:


{% include "component/head.html" %}
Settings - Cardiff Web
{% include "component/navbar.html" %}
{% if saved %}
{% include "alert/settingsaved.html" %}
{% endif %}
Cardiff
Cardiff Web
Personal
Developer
{% csrf_token %}
{% include "setting/cardiff.html" %}
{% include "setting/cardiffweb.html" %}
{% include "setting/personal.html" %}
{% include "setting/developer.html" %}
Cancel
Submit
{% include "component/footer.html" %}


- Current Temperature: Currently displaying in Celsius. Change to Fahrenheit? Currently displaing in Fahrenheit. Change to Celsius?


Toggle navigation
Funding.ME
Funding.ME
Trusted platform to match eligible SMEs with banks
Company
Looking for funding is hassless
Register
Login
Bank
Looking for loaning company
with Good Prospect
Login


Hi {{var customer_name}},
This is a friendly reminder that you still have items in your shopping cart (click to see your cart):
{{var products}}
Because our products sell out fast, we encourage you to place an order soon.
{{depend coupon}}
Do it now and get {{var discount_amount}} off your purchase
The coupon expires in {{var coupon_days}} day(s): {{var coupon}}
{{/depend}}
RESTORE CART
Happy shopping,
The {{var store_name}} team
|
|


"@type": "Organization",
"http://www.wikidata.org/entity/Q312",
"https://www.facebook.com/Apple",
"https://www.linkedin.com/company/apple",
"https://www.twitter.com/Apple"
"https://www.youtube.com/user/Apple",
"name": "Apple Support",
"url": "https://support.apple.com",


Select Department
Select type
Question for women : Is there any chance that you may be pregnant?
Information
Patient code is required
Please, enter patient code
Department is required
Please, enter patient code
No group question is exist
Please, add group question
No question is selected
Please, choose question.
No group question activated
Please, choose group question.
Question is exist
Please, choose other question.
Input other answer
Home page
Sign in
Page not found
Patient survey
Do survey
Export Survey
Export Account
Answer survey for
List survey
List survey of
Question library
Create new question
Edit question
Single choice
Multiple choice
Delete question successful.
Create question
Missing required fields
Save question
Question was saved successful.
Missing answer
Please answer all required questions.
Survey management
Create new survey
Create new survey for
Missing hospital code
The username and password that you entered don't match.
Previous
Next
Interview Exit
Delete
Delete Question
Note
Finished
Finish
Correct
Activated
Survey was activated
was deleted.
Please, check again.
Can't delete this survey.
Please, check again.
Some group question has no question
Please, add question into survey.
Field cannot be empty
Question must have at least one answer
Survey must have at least one group question
Please enter no more than 10 answers
Can\'t save this survey.
Agreement
You must accept the agreement.
cannot be empty!
Input patient's code
Patient
Quick survey
Create patient survey
Patient's survey not found.
Patient not found
View
Survey already was done.
Thank you for your cooperation.
Please help us make the following survey.
Thanks you for completed our health survey
Medical survey
Department
Title
Description
Patient account information
PHR account
Change survey
Can not change survey
Can not create patient survey
Change survey successfully
Patient survey has been created successfully
Patient survey has been created successfully
Patient not found
Can not create patient survey
Patient survey has been completed
Can not change survey


Project Personal #1
So You Think You Can Drink ?
Follow me on Twitter
How Old Are You ?
Please put in your age below
Let's See
Yes, Answer The Question
You shall not pass
Search
Yes you can ?


Select Id of user you want to give Admin rights, select ADMIN and click submit or cancel to go back
Id
Role


黒の手番です。55 はどう動かしますか？
Unlimited
pips Black=156 White=146
(CorrectAnswer= 0/0, ErrorScore= 0)
1. 7/2(2) 6/1*(2) eq:+0.423 54.91% (G:28.45% B:0.27%) 45.09% (G: 9.50% B:0.51%) 2. 13/8(2) 6/1*(2) eq:+0.282 (-0.141) 53.47% (G:24.25% B:0.30%) 46.53% (G: 9.65% B:0.50%) 3. 13/3 8/3 6/1* eq:+0.157 (-0.266) 51.18% (G:20.58% B:0.42%) 48.82% (G:10.65% B:0.61%) 4. 13/3(2) eq:+0.132 (-0.291) 51.63% (G:20.13% B:0.51%) 48.37% (G:11.17% B:0.59%) 5. 13/8 7/2(2) 6/1* eq:+0.035 (-0.388) 48.46% (G:19.32% B:0.33%) 51.54% (G:11.68% B:0.72%)


This is a block of text with auto-updating numbers. Look at this one for example: . It was randomly generated and could be anything from 1 to 100. Here's another: . It's the same as the first number () in every way - both generated on your CPU from, both sent through the network to your browser but and only have a 1% chance of actually being the same. It'll happen if you sit here long enough.
Whoopsy, looks like we got some unexpected html:
Chuckle escapes content received as text to prevent injection - this can be overridden like so:
Some expected html from an endpoint (directly written to page):


Cookbook/Logging
Contents |
Logging, recovery and replication
Software or hardware problems can cause a kdb+ server process to fail, possibly resulting in loss of data not saved to disk at the time of the failure. A kdb+ server can use logging of updates to avoid data loss when failures occur.
Logging is enabled by using the '-l' or '-L' command-line arguments.
q logTest -l q)\p 5001 q)\l trade.q
Now update messages from clients are logged. For instance:
q)/ this is a client q)h: hopen `:localhost:5001 q)h "insert[`trade](10:30:01; `intel; 88.5; 1625)" q)h "last trade" time | 10:30:01.000 sym | `intel price| 88.5 size | 1625
Assume that the kdb+ server process dies. If we now restart it with logging on, the updates logged to disk are not lost:
q logTest -l q)last trade time | 10:30:01.000 sym | `intel price| 88.5 size | 1625
Updates done locally in the server process are logged to disk only if they are sent as messages to self. The syntax for this uses '0' as the handle. Example:
q) // in server q)0 ("insert";`trade; (10:30:01.000; `intel; 88.5; 1625))
Checkpointing
A logging server uses a .log file and a .qdb data file. The command
q)\l
checkpoints the .qdb file and empties the log file.
However, the checkpoint is path dependent. Consider the following:
/tmp/qtest$ q qtest -l q)
A listing of the directory gives:
/tmp/qtest$ ls qtest.log
Back in q:
q)\l
yields
/tmp/qtest$ $ls qtest.log qtest.qdb
However, if there is a change of directory within the q session then the *.qdb checkpoint file is placed in the latter directory. For instance:
/tmp/qtest$ q qtest -l q)\cd ../newqdir q)\l
results in
/tmp/qtest$ ls qtest.log /tmp/qtest$ cd ../newqdir /tmp/newqdir$ ls qtest.qdb
The simplest solution is to provide a full path to the log file at invocation.
$/tmp/qtest$ q /tmp/testlog -l q).z.f /tmp/testlog q)\cd ../newqdir q)\l
results in
/tmp/qtest$ ls . testlog.log testlog.qdb /tmp/qtest$ ls ../newqdir .
Files
When you type
q logTest -l
this reads the data file (.qdb), log file, and the q script file logTest.q, if present. If any of the three files exists (.q, .qdb, and .log), they should all be in the same directory.
Logging options
The '-l' option is recommended if you trust (or duplicate) the machine where the server is running. The '-L' option involves an actual disk write (assuming hardware write cache is disabled).
Another option is to use no logging. This is used with test, readonly, readmostly, trusted, duplicated or cache databases.
Errors and rollbacks
An error after a partial update will cause a rollback.
Replication
Given a logging kdb+ process listening on port 5000, e.g. started with
q test -l -p 5000
a single kdb+ process can replicate that logging process via
q -r :localhost:5000:username:password
if starting these processes from different directories, be sure to specify the absolute path for the logging process, e.g.
q /mylogs/test -l -p 5000
the replicating process will receive this information when it connects. On startup, the replicating process will load the .qdb file and play back the log file, and continue to receive updates via ipc.
Currently, only a single replicating process can subscribe to the master process. If another kdb+ process attempts to replicate from the master, the previous replicating process will no longer receive updates. If you need multiple replicating processes, you might like to consider kdb+tick


--- notes: | L-line vertical divider. Used in "value props" within "at-a-glance" section. School of Justice Studies (RSJS) colors shown. ---


Rainbow The Birds' Shop
Home
About Us
I am Victoria Fares, I own this shop. Feel free to ask us about any kind of bird.


I am a first year Business Information Systems student in University College Cork.
I worked in Pennys for 3 months as a Christmas staff member,I spent my time assisting customers, working on the shop floor and serving customers on the registers.
I spent my two weeks of work experience shadowing solicitors,watching court cases and working in the office.I found the two weeks I spent on work experience to be of extreme benefit.I learned about how the judicial system works and the day to day job of a solicitor.
I consider myself to be a sporty person.I played basketball for my school team and through this i have taken part in many tournaments.As well as basketball I am also interested in dancing and I have participated in many shows with my stage school
I enjoy socialising and spending time with my friends and family.I am an avid reader and I also use the facilities in the college gym regularly.I am interested in travel and I plan on travelling even more in the next coming years.I have visited Germany,France,Spain,Portugal and Poland already and I am visiting Greece this coming Summer.


| | |
|
a | |
|
analogio (SAMD21, ESP8266) |
Analog hardware support |
|
array |
efficient arrays of numeric data |
|
audiobusio (SAMD21) |
Support for audio input and output over digital bus |
|
audioio (SAMD21) |
Support for audio input and output |
| | |
|
b | |
|
bitbangio (SAMD21, ESP8266) |
Digital protocols implemented by the CPU |
|
board (SAMD21) |
Board specific pin names |
|
btree |
simple BTree database |
|
busio (SAMD21) |
Hardware accelerated behavior |
| | |
|
c | |
|
cmath |
mathematical functions for complex numbers |
| | |
|
d | |
|
digitalio (SAMD21, ESP8266) |
Basic digital pin support |
| | |
|
e | |
|
esp |
functions related to the ESP8266 |
| | |
|
f | |
|
framebuf |
Frame buffer manipulation |
| | |
|
g | |
|
gc |
control the garbage collector |
| | |
|
l | |
|
lcd160cr |
control of LCD160CR display |
| | |
|
m | |
|
machine |
functions related to the hardware |
|
math |
mathematical functions |
|
microcontroller (SAMD21, ESP8266) |
Pin references and core functionality |
|
microcontroller.pin (SAMD21) |
Microcontroller pin names |
|
micropython |
access and control MicroPython internals |
|
multiterminal (ESP8266) |
Manage additional terminal sources |
| | |
|
n | |
|
neopixel_write (SAMD21) |
Low-level neopixel implementation |
|
network |
network configuration |
| | |
|
o | |
|
os (SAMD21) |
functions that an OS normally provides |
| | |
|
p | |
|
pulseio (SAMD21, ESP8266) |
Support for pulse based protocols |
|
pyb |
functions related to the board |
| | |
|
r | |
|
random (SAMD21, ESP8266) |
psuedo-random numbers and choices |
| | |
|
s | |
|
samd (SAMD21) |
SAMD implementation settings |
|
select |
wait for events on a set of streams |
|
storage (SAMD21) |
storage management |
|
sys |
system specific functions |
| | |
|
t | |
|
time (SAMD21) |
time and timing related functions |
|
touchio (SAMD21) |
Hardware accelerated behavior |
| | |
|
u | |
|
ubinascii |
binary/ASCII conversions |
|
ucollections |
collection and container types |
|
uctypes |
access binary data in a structured way |
|
uhashlib |
hashing algorithms |
|
uheap |
Heap size analysis |
|
uheapq |
heap queue algorithm |
|
uio |
input/output streams |
|
ujson |
JSON encoding and decoding |
|
uos |
basic "operating system" services |
|
ure |
regular expressions |
|
usb_hid (SAMD21) |
USB Human Interface Device |
|
usocket |
socket module |
|
ussl |
TLS/SSL wrapper for socket objects |
|
ustack |
stack information functions |
|
ustruct |
pack and unpack primitive data types |
|
utime |
time related functions |
|
uzlib |
zlib decompression |
| | |
|
w | |
|
wipy |
WiPy specific features |