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Seer Skahi:
Tejakar Duda-Mara!
You returned as the spider foretold.
Tarkai asked me to guide you with these stones.
Did you let Sharuhi escape? It will be difficult to follow Tarkai, but someone must pave the way!
"I must tell you of the vision of a snowstorm."


Release Manager
Pricing
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Clients
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Action
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Something else here
Find
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Stray Kids lend their voices for emotional OST 'Unending Story' for drama 'Extraordinary You', leaving fans in tears
by eottokeStray Kids's latest music release - OST Part.7 for MBC's ongoing drama 'Extraordinary You' - has their fans, also known as Stay, in pure tears!
Titled "Unending Story", Stray Kids's 'Extraordinary You' OST Part. 7 was released back on November 7, after being revealed during episodes 21 and 22 on the same day. You can listen to the track yourself, below:
This marks Stray Kids's first ever OST as a group since their debut, and fans are in love with "Unending Story"! Many have been sharing their first impressions of the new tune using the Korean hashtag #스트레이키즈_끝나지않을이야기 on Twitter, with several commenting on the "beautiful" lyrics, impressive high notes, and "warm vocals" of the song.
What do you think of Stray Kids's first ever drama OST, "Unending Story"?


{% extends "crumbless.html" %} {% block title %}401 | HAWC{% endblock %} {% block content %}
A problem occurred during authentication. An administrator has been notified, but please contact us if this problem persists.


Here is the converted version of the mathematical expression you submitted:
The calculated result is:
{{ user_number }}
Developed by Summer Ai, Runting Shao, Ningji Shen, Chang Xu and Zihui Zhang at the University of Washington.
All Rights Reserved.


Bebe Rexha Throws Up Her Middle Fingers In Care-Free Photos
November 20, 2019
Bebe Rexha Throws Up Her Middle Fingers In Care-Free Photos
Bebe Rexha is currently on tour with the Jonas Brothers and has shared a couple of photos of herself on Instagram throwing up her middle fingers.
The “I’m a Mess” hitmaker posted an image of herself stood in front of a black backdrop that said her name written numerous times in different colors. Rexha, 30, stunned in an unbuttoned white shirt with black tassells that hanged off the front pocket and one of the sleeves.  Bebe sported her shoulder-length blond hair straight and down with two clips placed at the front. She stared directly at the camera lens and threw both her middle fingers up.
For her caption, she told fans to attend her meet and greet and promised them that she’s a nice person. Rexha hashtagged the post with “HappinessBeginsTour,” which is the name of the Jonas Brothers show she is performing on.
The “I Can’t Stop Drinking About You” songstress geotagged the upload with Infinite Energy Center in Duluth, Georgia.
In the span of 19 hours, her post racked up more than 342,000 likes and over 1,500 comments, proving to be popular with Bebe’s impressive 9.9 million followers.
“I wanna meet u so bad omg,” one user wrote.
“I wanna meet you so bad.  My dream is to meet you and if that dream comes true I will be so happy,” another shared.
In another recent upload, Bebe flashed a huge cheesy grin in an up-close selfie with her eyes closed. The “Meant to Be” chart-topper wore a black sweater with a printed tiger on it and accessorized herself with two jeweled rectangular hair clips.
Rexha mentioned in her caption that people tell her she needs to smile more and that she should write happy songs and that the selfie is her version of a smiling pic.
Within one hour, the picture achieved more than 260,000 likes and over 2,100 comments, proving to be an instant hit.
Loading...
“You got a beautiful smile,” one user commented.
“Smile or no smile you’re still beautiful,” another remarked.
Bebe is no stranger to sharing up-close photos of herself. As previously reported by The Inquisitr, Rexha looked super glam in a number of beauty shots.
She will continue her time on the road with the Jonas Brothers across North America until the end of the year.


Evening 10 Series 2019 Event 10
| Kib 1 |
18 June 19 |
|
10 |
miles |
| Name |
Position |
Road bike |
Actual Time |
Avg. mph |
| |
|
|
|
|
| Timothy Smith |
1 |
|
00:21:41 |
27.67 |
| Matt Plews |
2 |
|
00:22:15 |
26.97 |
| Ed Grandidge |
3 |
1 |
00:22:37 |
26.53 |
| Simon Price |
4 |
|
00:22:44 |
26.39 |
| Jonathan
Durnin |
5 |
|
00:23:16 |
25.79 |
| Gary
Roberts |
6 |
|
00:23:24 |
25.64 |
| Michael
Burke |
7 |
2 |
00:23:28 |
25.57 |
| Adrian
Killworth |
8 |
|
00:23:51 |
25.16 |
| Ian
Waterfield |
9 |
|
00:24:21 |
24.64 |
| John Osbourne |
10 |
|
00:24:25 |
24.57 |
| Alistair
Watson |
11 |
|
00:24:53 |
24.11 |
| Bill
Barrie |
12 |
|
00:25:06 |
23.90 |
| Marcus Buksh |
13 |
|
00:25:25 |
23.61 |
| David Reay |
14 |
|
00:26:10 |
22.93 |
| Matthew
Vallins |
15 |
3 |
00:26:17 |
22.83 |
| Mark
Chapman |
16 |
4 |
00:26:35 |
22.57 |
| Jennifer
Clegg |
17 |
|
00:26:55 |
22.29 |
| Stewart
Holland |
18 |
5 |
00:27:16 |
22.00 |
| Maria
Senior |
19 |
|
00:27:18 |
21.98 |
| Vic
Barnett |
20 |
6 |
00:28:04 |
21.38 |
| Michael Church |
21 |
|
00:28:07 |
21.34 |
| Tom Evans |
22 |
|
00:29:50 |
20.11 |
| Lorna
Marlow |
23 |
|
00:30:38 |
19.59 |
| Claire Moore |
24 |
7 |
00:31:30 |
19.05 |
| Chris Dunkley |
25 |
|
00:31:37 |
18.98 |
| Austin
Smith |
|
|
DNS |
|
|
|
|
|
|


The module has a base javascript file autocomplete_base and each widget then extends that in the following files:
django_autocomplete/static/js/autocomplete_select.js
django_autocomplete/static/js/autocomplete_multipleselect.js
django_autocomplete/static/js/autocomplete_search.js
The base describes a javascript object: AutocompleteBase. This can be extended by prototypal inheritance.
Lets say we want to make our own search widget. The html required will have a button as a trigger and some javascript to initialize the search:
<input id="find" placeholder="find something">
<script type="text/javascript">
(function($) {
if (window.AutocompleteExt != undefined) {
new AutocompleteExt("path/to/api", id_find", "find", "Find something").init();
}
}(jQuery));
</script>
Note
Unlike the widgets the javascript is unaware to the form, and only cares about the url path to the api. Jquery will call this url with the query string term=<entered>.
The AutocompleteExt object needs to be defined, first the constructor:
window.AutocompleteExt = function(source, field_id, field_name, field_title) {
this.source = source;
this.field_id = field_id;
this.field_name = field_name;
this.field_title = field_title;
}
This just repeats the AuotcompleteBase constructor. We then declare the new object prototype to be that of AutocompleteBase so it inherits the methods of the base:
AutocompleteExt.prototype = new AutocompleteBase();
But it needs to use its own constructor (otherwise we get a base object):
AutocompleteExt.prototype.constructor = AutocompleteExt;
Then we must declare its init method, this is described line by line below:
AutocompleteExt.prototype.init = function() {
Init the base object, this adds the modal to the dom and initializes some attributes:
this.initBase();
Locate the dom object that will be the trigger to open the modal:
this.trigger = $('#' + this.field_id);
And set this as the trigger on the event focus, not this could be any event, e.g. click on a button:
this.setTrigger(this.trigger, 'focus');
Note
Any other setup could take place here - see as an example autocomplete_multipleselect.js.
The next command declares the jqueryui autocomplete plugin on the input field of the modal. The input field in the modal is available as this.input.:
this.initAutocomplete()
Then bind the select action of the autocomplete.:
this.bindAutocomplete() // end init
Warning
This method is not declared in AutocompleteBase and gives the developer freedom to declare what happens when a result is returned from the server.
In this example all that happens is that the input field receives the value of the label. Note that the AutocompleteExt object is passed with the event and is available as obj.
AutocompleteExt.prototype.bindAutocomplete = function() {
// and add the action on select of item
$(this.input).bind( "autocompleteselect",
{obj: this},
function(event, ui) {
var obj = event.data.obj;
if (ui.item) {
// do something
$(obj.trigger).attr('value', ui.item.label )
$(obj.modal).modal('hide');
} else {
alert("Nothing selected, input was " + this.value );
}
event.preventDefault();
return false;
})
}
Hope that helps.


I am an Atlanta based photographer specializing in weddings and portraits. I have a natural style designed to showcase the best you possible!


Add momentum to anything. It's like iScroll, except not for scrolling. Supports mouse and touch events. Less than 1.5KB gzipped.
Impulsion is meant to be used as a part of other components — these simple demos just demonstrate the momentum.
new impulsion({
source: myNode,
onUpdate: function(x, y, previousX, previousY) {
// whatever you want to do with the values
}
});
For more usage details, see the API on GitHub.


The free owl site
Add owl
Add owl
My Owls
But why?
The free owl site is a great place to add your favourite owls to a list. As owl tends
to fly, the list
wil be reset every time you refres the site.... and as Pygmy owl is the coolest, it will always reappear.
But why?
The free owl site is a great place to add your favourite owls to a list. As owl tends
to fly, the list
wil be reset every time you refres the site.... and as Pygmy owl is the coolest, it will always reappear.


Brief biographical sketch:
- September 10, 1908: Harry Warnow is born in Brooklyn, NY.
- 1931: Warnow graduates from the Institute of Musical Art (later known as the Julliard
School).
- 1934: Warnow joins the CBS Radio Orchestra as a pianist, which was conducted by his brother
Mark. To avoid accusations of favoritism in hiring, Harry Warnow adopted the name Raymond Scott, which he selected
at random from the Manhattan phone book. He composes his first hit record for the orchestra, Christmas Night in Harlem.
- 1936: The Raymond Scott Quintette is formed with Lou Shoobe on bass, Dave Harris on tenor
saxophone, Pete Pumiglio on clarinet, Johnny Williams on drums, and Bunny Berigan on trumpet. The Quintette performs
on the Saturday Night Swing Club program on CBS.
- 1937: The Raymond Scott Quintette signs with Master Records, the record label run by
Duke Ellington's manager, Irving Mills, and records many of Scott's well known early compositions such as "Twilight
in Turkey", "Powerhouse", and "The Toy Trumpet".
- 1939: The original Raymond Scott Quintette is disbanded in the summer after recording
releases for Columbia Records, and the full-sized Raymond Scott Orchestra is formed, signing to Columbia in November.
- 1942: Scott forms the first racially integrated orchestra for network radio. He also
meets his future wife, Dorothy Collins.
- 1943: Carl Stalling, music director for the Warner Bros. animation department, makes
his first quotations of Raymond Scott compositions after Scott sold the publishing rights to Warners. Thus began
Raymond Scott's reputation as a "cartoon composer".
- 1946: Scott establishes his electronic music production company, Manhattan Research,
Inc., which files its first patent disclosures that year.
- 1949: Mark Warnow dies of heart failure; Raymond Scott takes over as director of the
Lucky Strike Hit Parade Orchestra.
- 1950: Your Hit Parade moves from CBS Radio to NBC Television.
Scott files patent for a radio receiver that automatically scans frequencies. He divorces his first wife, Pearl.
- 1951: The Jingle Workshop, Scott's music company for commercials, is established.
- 1952: Scott marries Dorothy Collins, and creates the Clavivox keyboard as a keyed adaptation
of a theremin for their daughter Carolyn. Scott also built two early incarnations of multitrack audio recorders
that year.
- 1955: Scott meets a young Bob Moog for the first time, who he contracted with to build
theremin-based tone generation components for the Clavivox.
- 1956: A patent is granted for the Clavivox.
- 1957: Your Hit Parade is cancelled.
- 1959: Scott develops the first version of his combined synthesis and automated music
composition device, the Electronium.
- 1960: Scott invents two more electronic music devices, the rhythm synthesizer and the
pitch sequencer.
- 1963: Soothing Sounds for Baby, Scott's three LP series intended
for infants but later cited as a precursor to what would become ambient music, is released on Epic Records. Scott
also develops a drum machine that he calls "Bandito the Bongo Artist".
- 1970: Scott meets Berry Gordy of Motown Records, who orders an Electronium.
- 1987: Scott suffers a stroke that leaves him unable to work or speak.
- February 8, 1994: Raymond Scott dies at the age of 85.
"Being introduced to the music of Raymond Scott was like being given the name of a composer I feel I have heard my whole life, who until now was nameless. Clearly he is a major American composer."—David
Harrington, Kronos Quartet
Click here for more information and releases by this innovative
musician and engineer.
This page was constructed by Dave Duncan for demonstration purposes only. Content of this page comes from raymondscott.net, Wikipedia, and allmusic.com.


RC Light Controller programmer
ATTENTION
Run this program from
https://laneboysrc.github.io/rc-light-controller/programmer.html
WebUSB does not work on
http:
protocol (except when running on localhost)
For local testing just load the Configurator from disk.
This web browser does not support
WebUSB
. Please use Google Chrome (
https://www.google.com/chrome/
)
Connection
Programming
Testing
Connect
Disconnect
Select file ...
(no file selected)
Program
Read
(newest on top)
Diagnostic messages
Steering
center
Throttle
center
Expert settings
Startup
Simulate no signal
Pre-Processor protocol:
Automatic
3-channel
5-channel
Two-position switch
Two-position switch up/down
Momentary
Three-position switch
Analog
AUX
AUX
Two-position switch
Two-position switch up/down
Momentary
Three-position switch
Analog
AUX2
AUX2
Two-position switch
Two-position switch up/down
Momentary
Three-position switch
Analog
AUX3
AUX3
(newest on top)
Diagnostics sent by the light controller


4 references to AddWqlCondition
Microsoft.PowerShell.Commands.Management (4)
cimSupport\cmdletization\cim\cimQuery.cs (4)
212
this.
AddWqlCondition
(matchCondition);
239
this.
AddWqlCondition
(condition);
263
this.
AddWqlCondition
(condition);
287
this.
AddWqlCondition
(condition);


Ralph Hasenhuttl demands fast start at Arsenal
Southampton manager Ralph Hasenhuttl has challenged his players to be brave and make a fast start at Arsenal.
The Saints head to the Emirates Stadium having picked up just one point from the past seven Premier League games.
Hasenhuttl hopes the international break will have given the squad some time for reflection as they look to recapture their early-season promise.
Southampton found themselves 2-0 down inside the opening 20 minutes the last time they went to Arsenal during February.
Hasenhuttl wants full focus from kick-off as his team look to produce a positive result against a Gunners' side struggling for their own consistency.
"A fast start always helps against every opponent, because then you feel more comfortable," the Southampton manager said.
"We had a good start against Manchester City and then you saw how difficult it was against us to turn the table for them. We were only a few minutes from taking something there.
"We know in away games we can start fast and score, then we are not easy to beat."
Hasenhuttl added: "Especially against big opponents, you have nothing to lose.
"If you go in the game and be brave, believe in yourself, then you have a big chance to get something and this is what we have to do to at the weekend."
The Gunners have not won in the Premier League since the start of October.
A 2-0 defeat at Leicester before the international break saw the pressure continue to mount on head coach Unai Emery.
Hasenhuttl, though, is not expecting an easy ride at the Emirates Stadium.
"They are a team which is also struggling a bit and has lost some games, but at home they are strong," the Southampton manager said at a press conference.
"Last season we played a good second half. The first half wasn't too good. We must start better than last time, because we really gave them own goals with two mistakes.
"We must do it better anyway and then we have a chance to take something."
Following the Arsenal game, Southampton will host fellow strugglers Watford and then Norwich.
However, Hasenhuttl is not putting any more focus on either of those two opponents.
"Every game is difficult," the Austrian said. "To play against the top teams or against the bottom teams, this doesn't make some big difference because the Premier League is always tight.
"We must bring these tight games onto our side. There are always a few moments in the game where you must be very, very straight.
"In the last game (against Everton), we had the chance to turn the tables and then they got the second goal.
"We must believe in ourselves – we know that we have a chance to take something in every game and we must grab it with both hands."
body check tags ::


Class: WebGLCanvas
| Defined in: | app/tamarind/WebGLCanvas.coffee |
Overview
An object associated with a canvas element that manages the WebGL context and associated resources.
THE RESOURCE MANAGEMENT GRAPH
-- VERT
/ \ CONTEXT -- FRAG -- LINK -- RENDER
\ /
-- GEOM --------
- CONTEXT: set up WebGL context
- VERT: compile vertex shader
- FRAG: compile fragment shader
- LINK: link program, look up and cache attribute and uniform locations
- GEOM: generate vertex buffer with geometry
- RENDER: set values for uniforms, update viewport dimensions, render scene
When the object is first created, each step is performed in dependency order from context creation to rendering. Various API methods will invalidate a specific step, requiring that it and all dependent steps are cleaned up and done again. For example, changing vertexCount will invalidate the GEOM step which requires uniforms to be set again.
Instance Method Summary
- # (void) _handleMouseMove(event) Bound
- # (void) debugLoseContext() Simulate GL context loss for debugging
- # (void) debugRestoreContext() Simulate GL context restoration for debugging
- # (void) captureImage(width, height) Take a snapshot of the current scene and return it as a PNG encoded data url
- # (void) _doFrame() Bound Private
- # (void) _createContext() Private
- # (void) _updateContextForDebugMode() Bound
- # (void) _setupContext() Private
- # (void) _compileShader(shaderType) Private
- # (void) _linkProgram() Private
- # (void) _updateGeometry(vertexCount) Private
- # (void) _render(explicitWidth, explicitHeight) Private
- # (void) _setAllUniformsFromState() Bound Private
- # (void) _setUniformFromState(propertyName) Bound Private
- # (void) _setUniform(name, values) Private
- # (void) _handleContextLost(e) Bound Private
- # (void) _handleContextRestored() Bound Private
Constructor Details
#
(void)
constructor(canvasElement, _state)
Instance Method Details
#
(void)
_handleMouseMove(event)
Bound
#
(void)
debugLoseContext()
Simulate GL context loss for debugging
#
(void)
debugRestoreContext()
Simulate GL context restoration for debugging
#
(void)
captureImage(width, height)
Take a snapshot of the current scene and return it as a PNG encoded data url
#
(void)
_doFrame()
Bound
Private
#
(void)
_createContext()
Private
#
(void)
_updateContextForDebugMode()
Bound
#
(void)
_setupContext()
Private
#
(void)
_compileShader(shaderType)
Private
#
(void)
_linkProgram()
Private
#
(void)
_updateGeometry(vertexCount)
Private
#
(void)
_render(explicitWidth, explicitHeight)
Private
#
(void)
_setAllUniformsFromState()
Bound
Private
#
(void)
_setUniformFromState(propertyName)
Bound
Private
#
(void)
_setUniform(name, values)
Private
#
(void)
_handleContextLost(e)
Bound
Private
#
(void)
_handleContextRestored()
Bound
Private


QStaticByteArrayMatcher Class
The QStaticByteArrayMatcher class is a compile-time version of QByteArrayMatcher More...
| Header: | #include <QStaticByteArrayMatcher> |
| qmake: | QT += core |
| Since: | Qt 5.9 |
Detailed Description
The QStaticByteArrayMatcher class is a compile-time version of QByteArrayMatcher
This class is useful when you have a sequence of bytes that you want to repeatedly match against some byte arrays (perhaps in a loop), or when you want to search for the same sequence of bytes multiple times in the same byte array. Using a matcher object and indexIn() is faster than matching a plain QByteArray with QByteArray::indexOf(), in particular if repeated matching takes place.
Unlike QByteArrayMatcher, this class calculates the internal representation at compile-time, if your compiler supports C++14-level constexpr
(C++11 is not sufficient), so it can even benefit if you are doing one-off byte array matches.
Create the QStaticByteArrayMatcher by calling qMakeStaticByteArrayMatcher(), passing it the C string literal you want to search for. Store the return value of that function in a static const auto
variable, so you don't need to pass the N
template parameter explicitly:
static const auto matcher = qMakeStaticByteArrayMatcher("needle");
Then call indexIn() on the QByteArray in which you want to search, just like with QByteArrayMatcher.
Since this class is designed to do all the up-front calculations at compile-time, it does not offer a setPattern() method.
See also QByteArrayMatcher and QStringMatcher.


BUG: Can not get artwork from itunes Leopard
-
LouB
Just installed the retail version of leopard. Synergy can no longer obtain artwork from my itunes files, its going to amazon for all of them. This is annoying because When on shuffle with an empty artwork folder I get all ?'s . Yes If i go back to an album later in the week it will have artwork but I prefer my artwork over amazon's anyway. This bug will also increase your synergy traffic on amazon.com considering that now EVERY play equals an amazon cover retrieval.
-
Greg Hurrell
I don't have access to the final version of Leopard yet, so can you try out the technique mentioned in this thread to find out if iTunes is actually transmitting the artwork?
Specifically this bit:
Code:tell application "iTunes" to get data of front artwork of current track
But see the full thread for an explanation.
-
LouB
Sure. Ran that test. Itunes is responding with artwork. (ie: <<data PICT21400000.....
if I choose a song with no artwork the same script gives a parameter error.
-
Greg Hurrell
Ok, thanks for the info. I'll have a look at the QuickTime conversion stuff and see if that's changed as soon as I get my hands on the final version.
-
LouB
Thanks! Your app rocks!
-
Greg Hurrell
For reference, this issue is now being tracked in the bug tracker here:
Reply
This topic is now closed.


Physics Calculations
Calculate Speed
Select a System of Measurement:
Distance:
Time:
Speed:
Calculate Acceleration
Select a System of Measurement:
Initial Velocity (in miles per minute):
Final Velocity (in miles per minute):
Time (in minutes):
Acceleration:
Calculate Force
Mass (in kilograms):
Acceleration (in miles per second):
Force:
Calculate Pressure
Area (in meters2):
Force (in Newtons):
Pressure:
Calculate Work
Force (in Newtons):
Distance (in Meters):
Work:
Calculate Kinetic Energy
Mass (in kilograms):
Veloctiy (in meters per second):
Kinetic Energy:
Calculate Power
Select a System of Measurement:
Energy (in joules):
Time (in seconds):
Power:
Copyright © 2019 Levi Barshinger


JSONX Manual
- Home
- Getting Started
- Using Advanced Props
- External and Custom Components
- Creating React Components and Component Libraries
- JSONX & JXM Spec
- Samples
- Roadmap
- Full API Docs
External Libraries and Components
JSONX natively supports any components from React-DOM, but for most real applications you are using either a large open-source component library (e.g. react-bootstrap, ant.design, material UI, etc) or any 3rd-party react components (like react-autocomplete). To use custom 3rd-party components or libraries they need to be assigned to JSONX’s this
parameter.
Using custom Component Libraries
Using a component library is as simple as assigning the Library to the this.componentLibraries
property, and referencing the flattened component name as the component value in your JXM JSON Object.
import * as jsonx from 'jsonx';
import { * as ReactBootstrap } from 'react-bootstrap'; //or in the browser reference the UMD: <script<EMAIL_ADDRESS>crossorigin />
const getReactElement = jsonx.getReactElement.bind({
componentLibraries:{
ReactBootstrap,
}
});
const JXM = {
component:'ReactBootstrap.Container',
children:[
{
component:'ReactBootstrap.Row',
children:[
{
component:'ReactBootstrap.Col',
children:[
{
component:'ReactBootstrap.Alert',
props:{ variant:'primary' },
children: 'This is a Bootstrap Alert'
}
]
},
{
component:'ReactBootstrap.Col',
children:[
{
component:'ReactBootstrap.Spinner',
props:{ animation:'border', role:'status' },
}
]
}
],
}
],
}
const myReactElements = getReactElement(JXM);
Example React Bootstrap
Using Custom Components
If you’re only adding single components or using your components you can add them to JSONX’s component my individually. The difference between a Custom Component and a Custom Library is this.reactComponents
expects each property value to be a react component and this.componentLibraries
expects each property value to reference an object that has values that are React Components.
import React from 'react';
import * as jsonx from 'jsonx';
import { Calendar } from 'rc-calendar';
const jsonxRender = jsonx.jsonxRender.bind({
reactComponents:{
ReactCalendar: Calendar,
}
});
const JXM = {
component:'div',
children:[
{
component:'h1',
children:'React Calendar demo',
},
{
component:'ReactCalendar',
props:{
},
}
],
};
jsonxRender({
jsonx:JXM,
querySelector:'#main',
});


[gecode-users] int vs. unsigned int for Matrix dimensions
Gregory Crosswhite
gcross at phys.washington.edu
Tue Jan 25 20:42:52 CET 2011
Hey Christian,
Yes, I am fine with the WrapVal iterator being removed from the patch,
especially since it is not necessary for it to be in Gecode as it needs
no access to the internals of the arrays.
The tweaked patch and added documentation all look good to me as well.
So in summary, responding to all three of your queries: everything looks
fine to me --- thanks for including my patch in Gecode! :-)
Cheers,
Greg
On 01/25/2011 02:01 AM, Christian Schulte wrote:
>
> Hi,
>
> While I buy into the iterator stuff I have to admit that I am not
> (yet) excited over the wrap stuff: that looks very very specific.
> There are only few cases where you really can rely on the fact that
> variables are assigned.
>
> For example, a common misconception is that the print() function of a
> script can only be called on a solution and hence all variables are
> assigned. This is wrong, printing must also be able to deal with not
> yet assigned variables as the print function can be called on any
> script and not only solutions. This for example happens when you click
> a node in Gist.
>
> So I will include the iterators but not the wrap stuff. Is that okay?
>
> Thanks a lot for your effort!
>
> Christian
>
> --
>
> Christian Schulte, www.ict.kth.se/~cschulte/
>
> *From:*users-bounces at gecode.org [mailto:users-bounces at gecode.org] *On
> Behalf Of *Gregory Crosswhite
> *Sent:* Monday, January 24, 2011 10:57 PM
> *To:* users at gecode.org
> *Subject:* Re: [gecode-users] int vs. unsigned int for Matrix dimensions
>
> Oops, I just realized that I forgot to include in the patch an extra
> line in Makefile.in to install the new header. The amended patch is
> attached to this e-mail.
>
> Also, I forgot in my previous to mention that also included in the
> patch is a test for the WrapVal iterator in test/iter.hpp; that test
> program includes checks on some of the examples that I described in
> the e-mail to make sure that they have the expected result.
>
> Cheers,
> Greg
>
>
> On 01/24/2011 12:12 PM, Gregory Crosswhite wrote:
>
> Well then, I am glad that I got the patch ready over the weekend. :-)
>
> The patch has been attached to this e-mail as the file "patch"; it is
> the result of running "svn diff" against revision 11556.
>
> I have modified "gecode/kernel/array.hpp" along the lines that we
> discussed, and have added a new test to your suite under
> "test/array.cpp" to verify that it works as expected.
>
> While I was add it, I added another feature. The patch includes a
> file "gecode/iter/wrap-val.hpp" (and a patch to "gecode/iter.hh" to
> include this file) which contains an iterator class "WrapVal" that
> wraps another iterator and upon dereferencing returns the the result
> of calling ".val()" on the dereferenced wrapped iterator, as well as a
> function "wrap_val" that is a convenience function for constructing a
> "WrapVal" (since this causes the template parameters to automatically
> be inferred).
>
> That might sound complicated, but the point of it is to allow someone
> to do the following:
>
> #include <algorithm>
> #include <gecode/iter.hh>
> #include <iterator>
> #include <vector>
> ...
> using namespace Gecode;
> using namespace Gecode::Iter;
> using namespace std;
> ...
> IntVarArray a;
> ...
> vector<int> v;
> copy(wrap_val(a.begin()),wrap_val(a.end()),back_inserter(x));
>
> which has the effect of copying all of the values from the array a
> into the vector v, since a.begin() returns an iterator that
> dereferences to an IntVar and wrap_val(a.begin()) returns a wrapped
> iterator that returns the result of calling .val() on the IntVar.
>
> The basic use case of the iterators is as follows:
>
> IntVarArgs a;
> ...
> for(IntVarArgs::iterator i = a.begin(); i != a.end(); ++i) {
> rel(space,*i,IRT_EQ,0); }
>
> Of course, you could more easily do this with rel(space,a,IRT_EQ,0).
> A more interesting example is:
>
> IntVarArgs a;
> ...
> for(IntVarArgs::iterator i = a.begin(); i != a.end()-1; ++i) {
> rel(space,*i > *(i+1)+2); }
>
> More powerfully, iterators give you the ability to work with STL
> algorithms:
>
> #include <algorithm>
> ...
> void f(IntVar& v) { ... }
> ...
> IntVarArgs a;
> ...
> std::for_each(a.begin(),a.end(),f);
>
> The iterators returned by a.begin() and a.end() dereference to a
> reference to an IntVar/BoolVar (or a view in the case of ViewArray).
> If you are interested in iterating over the *values* of the array ---
> that is, the value currently assigned to to each variable then you can
> use the function wrap_val to wrap these iterators so that
> dereferencing them returns the value assigned to the variable. For
> example, the last two lines in the following have exactly the same
> result:
>
> #include <algorithm>
> #include <iostream>
> ...
> void f(IntVar& v) { std::cout << v.val() << " "; }
> void g(int i) { std::cout << i << " "; }
> ...
> IntVarArgs a;
> ...
> std::for_each(a.begin(),a.end(),f); std::cout << std::endl;
> std::for_each(wrap_val(a.begin()),wrap_val(a.end()),g); std::cout
> << std::endl;
>
> Or if you want to copy the values assigned to the variables into a
> std::vector:
>
> #include <algorithm>
> #include <iterator>
> #include <vector>
> ...
> IntVarArray a;
> ...
> std::vector<int> v;
>
> std::copy(wrap_val(a.begin()),wrap_val(a.end()),std::back_inserter(x));
>
> Or if you are interested in computing the sum of the values in the
> variables:
>
> #include <numeric>
> ...
> IntVarArray a;
> ...
> int sum = std::accumulate(wrap_val(a.begin()),wrap_val(a.end()),0);
>
> Or alternatively if you are interested in counting the number of zeros
> in the variables:
>
> #include <algorithm>
> ...
> IntVarArray a;
> ...
> unsigned int number_of_zeros =
> std::count(wrap_val(a.begin()),wrap_val(a.end()),0);
>
> ===
>
> Anyway, I hope that this patch can make it into Gecode this week; you
> have my official permission to release it under whatever license
> Gecode uses.
>
> Let me know if you have any questions! :-)
>
> Cheers,
> Gregory Crosswhite
>
>
>
> On 01/24/2011 10:54 AM, Christian Schulte wrote:
>
> Christian Schulte<cschulte at ...> <mailto:cschulte at ...> writes:
>
> Hi again,
>
> There is one thing I forgot to say: we intend to release end of this week
> (hopefully). So if your patch arrives until then, it'll be included in
> the
> next version.
>
> Cheers
> Christian
>
>
>
>
> _______________________________________________
> Gecode users mailing list
> users at gecode.org <mailto:users at gecode.org>
> https://www.gecode.org/mailman/listinfo/gecode-users
>
>
>
>
>
>
>
>
> _______________________________________________
> Gecode users mailing list
> users at gecode.org <mailto:users at gecode.org>
> https://www.gecode.org/mailman/listinfo/gecode-users
>
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Nunes slams impeachment 'three-card monte,' then yields to Schiff for 'storytime hour'
by Charles CreitzHouse Intelligence Committee ranking member Devin Nunes, R-Calif., slammed the impeachment inquiry process during his closing remarks at Wednesday's hearing.
Nunes compared the proceedings against President Trump to "three-card monte" and the medieval Inquisition.
Democrats like committee Chairman Adam Schiff, Nunes claimed, promised a fair hearing, but have not yet delivered.
"What have they delivered? The impeachment version of three-card monte, the notorious short-con card trick where the mark -- in this case President Trump and the American public -- stands no chance of winning," he said.
TRUMP FIRES BACK AT 'CORRUPT' SCHIFF, 'PHONY' MAINSTREAM MEDIA
"The Democrats promised the whistleblower's testimony -- in fact, they told us we need to speak with the whistleblower."
Nunes said Democrats' plans changed when reports surfaced that Schiff's staff had been in contact with the Ukraine whistleblower.
Nunes then offered three statements he considered popular legal axioms: "If the facts are against you, argue the law. If the law is against you, argue the facts. And, if both are against you, pound the table and yell like hell."

CLICK HERE TO GET THE FOX NEWS APP
Nunes went on to claim the impeachment inquiry reminded him of the Middle Ages when inquisitors were able to bring a charge against someone without affording them due process.
After Nunes concluded his remarks, he yielded the floor to Schiff, D-Calif., as required by House procedure, but not before making a quick dig at his rival.
"I now yield to Mr. Schiff for 'Storytime Hour,'" the ranking member said.
Schiff smiled and deadpanned, "I thank the gentleman -- as always -- for his, uh, remarks," a comment met by loud laughter in the hearing room.


Update method is used to update existing records in a table.
Note: Be careful when updating records in a table! Notice the WHERE clause in the UPDATE statement. The WHERE clause specifies which record(s) should be updated. If you omit the WHERE clause, all records in the table will be updated!
Syntax
Update( x =>
x.From( Table | SubSelect )
.LeftJoin( (Table | SubSelect), Condition )
.RightJoin( (Table | SubSelect), Condition )
.InnerJoin( (Table | SubSelect), Condition )
.Where( Condition )
.SetModel( model )
.Set( Field , value )
.SetRaw( Field , Expression )
.SetNull( Field ) )
)
Examples
Regular
Using SET
With Join


First Paragraph.
Second Paragraph
Third paragraph
A sub-element Third Sub Paragraph
AFourth Paragraph
A Fifth Paragraph
Sixth Paragraph
Seventh Paragraph
Eighth Paragraph


Hello i am new to emoncms , i have installed emoncms on windows pc .
I have created a public dashboard with some dummy data . While i am logged in i can run the dashboard and everything works fine , if i try to access the dashboard through the public url , <IP_ADDRESS>/emoncms/myusername&id=1 either from another lan pc either from my pc, but without logging in first i can see the dashboard but no data on it and a message on the charts saying feed type or authentication not valid.
Can anyone please help ?
Re: Public url cannot load data
Did you make the feeds 'public'?
Re: Public url cannot load data
hi
I encounter the same problem. I put some questions in the forum but still no answer.
do not know what else to do to fix it. The feed is as public.
Can anyone help me with this problem?
thanks
Camilo
Re: Public url cannot load data
Hi,
I think this has to do with the way the graphs are stored in the DB. In the dashboard table, you can see in the content field that all graphs use the ip address of the server. This means that when you access the dashboard from a pc outside you network, it can retrieve the data. You can easliy solve this problem by removing the ip address, ie changing src="http://192.168.x.xx/emoncms/vis/zoom? to src="/emoncms/vis/zoom?


FAQs¶
What is the timeline of the competition?
Task Dates Development phase (14 weeks) Jun 1 – Sep 9, 2018 Evaluation phase (2 weeks) Sep 10 – Oct 8, 2018 Release of the results 16th Oct 2018 Paper submission deadline Oct-Nov 2018 DSTC7 special session or workshop Spring 2019
What should we submit?
You are required to submit the responses to the test dataset that will be released on the 10th of September. The format of the responses can be found under submissions section.
Do we need to work on both datasets?
Not necessary. You can select one dataset and work on all or a subset of the subtasks. But, submitting results for both datasets and all subtasks will increase your chance of winning the competition.
How are we evaluated?
For each test instance, we expect you to return a set of 100 choices (candidate ids) from the set candidates and a probability distribution over those 100 choices. For more details please check the evaluations section.
What do you mean by end-to-end models?
We don’t need the whole system to be end-to-end trainable. You can have separate components, which are not trained with back-propagation. However, we expect the functionality of each of the components in your system to be learned from the given dataset. We discourage the use of hand-coded features for any component in your system, as one of the focus points of the challenge is automation.
Can we use pre-trained word embeddings?
You can use any pre-trained embeddings that was publicly available before the 1st of June.


| ggplot2-ggproto {ggplot2} | R Documentation |
If you are creating a new geom, stat, position, or scale in another package,
you'll need to extend from ggplot2::Geom
, ggplot2::Stat
,
ggplot2::Position
, or ggplot2::Scale
.
All geom_*
functions (like geom_point
) return a layer that
contains a Geom*
object (like GeomPoint
). The Geom*
object is responsible for rendering the data in the plot.
Each of the Geom*
objects is a ggproto()
object, descended
from the top-level Geom
, and each implements various methods and
fields.
Compared to Stat
and Position
, Geom
is a little
different because the execution of the setup and compute functions is
split up. setup_data
runs before position adjustments, and
draw_layer()
is not run until render time, much later. This
means there is no setup_params
because it's hard to communicate
the changes.
To create a new type of Geom object, you typically will want to override one or more of the following:
Either draw_panel(self, data, panel_params, coord)
or
draw_group(self, data, panel_params, coord)
. draw_panel
is
called once per panel, draw_group
is called once per group.
Use draw_panel
if each row in the data represents a
single element. Use draw_group
if each group represents
an element (e.g. a smooth, a violin).
data
is a data frame of scaled aesthetics.
panel_params
is a set of per-panel parameters for the
coord
. Generally, you should consider panel_params
to be an opaque data structure that you pass along whenever you call
a coord method.
You must always call coord$transform(data, panel_params)
to
get the (position) scaled data for plotting. To work with
non-linear coordinate systems, you typically need to convert into a
primitive geom (e.g. point, path or polygon), and then pass on to the
corresponding draw method for munching.
Must return a grob. Use zeroGrob()
if there's nothing to
draw.
draw_key
: Renders a single legend key.
required_aes
: A character vector of aesthetics needed to
render the geom.
default_aes
: A list (generated by aes()
of
default values for aesthetics.
setup_data
: Converts width and height to xmin and xmax,
and ymin and ymax values. It can potentially set other values as well.
All coord_*
functions (like coord_trans
) return a Coord*
object (like CoordTrans
).
Each of the Coord*
objects is a ggproto()
object,
descended from the top-level Coord
. To create a new type of Coord
object, you typically will want to implement one or more of the following:
aspect
: Returns the desired aspect ratio for the plot.
labels
: Returns a list containing labels for x and y.
render_fg
: Renders foreground elements.
render_bg
: Renders background elements.
render_axis_h
: Renders the horizontal axes.
render_axis_v
: Renders the vertical axes.
backtransform_range(panel_params)
: Extracts the panel range provided
in panel_params
(created by setup_panel_params()
, see below) and
back-transforms to data coordinates. This back-transformation can be needed
for coords such as coord_trans()
where the range in the transformed
coordinates differs from the range in the untransformed coordinates. Returns
a list of two ranges, x
and y
, and these correspond to the variables
mapped to the x
and y
aesthetics, even for coords such as coord_flip()
where the x
aesthetic is shown along the y direction and vice versa.
range(panel_params)
: Extracts the panel range provided
in panel_params
(created by setup_panel_params()
, see below) and
returns it. Unlike backtransform_range()
, this function does not perform
any back-transformation and instead returns final transformed coordinates. Returns
a list of two ranges, x
and y
, and these correspond to the variables
mapped to the x
and y
aesthetics, even for coords such as coord_flip()
where the x
aesthetic is shown along the y direction and vice versa.
transform
: Transforms x and y coordinates.
distance
: Calculates distance.
is_linear
: Returns TRUE
if the coordinate system is
linear; FALSE
otherwise.
is_free
: Returns TRUE
if the coordinate system supports free
positional scales; FALSE
otherwise.
setup_panel_params(scale_x, scale_y, params)
: Determines the appropriate
x and y ranges for each panel, and also calculates anything else needed to
render the panel and axes, such as tick positions and labels for major
and minor ticks. Returns all this information in a named list.
setup_data(data, params)
: Allows the coordinate system to
manipulate the plot data. Should return list of data frames.
setup_layout(layout, params)
: Allows the coordinate
system to manipulate the layout
data frame which assigns
data to panels and scales.
All facet_*
functions returns a Facet
object or an object of a
Facet
subclass. This object describes how to assign data to different
panels, how to apply positional scales and how to lay out the panels, once
rendered.
Extending facets can range from the simple modifications of current facets,
to very laborious rewrites with a lot of gtable()
manipulation.
For some examples of both, please see the extension vignette.
Facet
subclasses, like other extendible ggproto classes, have a range
of methods that can be modified. Some of these are required for all new
subclasses, while other only need to be modified if need arises.
The required methods are:
compute_layout
: Based on layer data compute a mapping between
panels, axes, and potentially other parameters such as faceting variable
level etc. This method must return a data.frame containing at least the
columns PANEL
, SCALE_X
, and SCALE_Y
each containing
integer keys mapping a PANEL to which axes it should use. In addition the
data.frame can contain whatever other information is necessary to assign
observations to the correct panel as well as determining the position of
the panel.
map_data
: This method is supplied the data for each layer in
turn and is expected to supply a PANEL
column mapping each row to a
panel defined in the layout. Additionally this method can also add or
subtract data points as needed e.g. in the case of adding margins to
facet_grid
.
draw_panels
: This is where the panels are assembled into a
gtable
object. The method receives, among others, a list of grobs
defining the content of each panel as generated by the Geoms and Coord
objects. The responsibility of the method is to decorate the panels with
axes and strips as needed, as well as position them relative to each other
in a gtable. For some of the automatic functions to work correctly, each
panel, axis, and strip grob name must be prefixed with "panel", "axis", and
"strip" respectively.
In addition to the methods described above, it is also possible to override the default behaviour of one or more of the following methods:
setup_params
:
init_scales
: Given a master scale for x and y, create panel
specific scales for each panel defined in the layout. The default is to
simply clone the master scale.
train_scales
: Based on layer data train each set of panel
scales. The default is to train it on the data related to the panel.
finish_data
: Make last-minute modifications to layer data
before it is rendered by the Geoms. The default is to not modify it.
draw_back
: Add a grob in between the background defined by the
Coord object (usually the axis grid) and the layer stack. The default is to
return an empty grob for each panel.
draw_front
: As above except the returned grob is placed
between the layer stack and the foreground defined by the Coord object
(usually empty). The default is, as above, to return an empty grob.
draw_labels
: Given the gtable returned by draw_panels
,
add axis titles to the gtable. The default is to add one title at each side
depending on the position and existence of axes.
All extension methods receive the content of the params field as the params
argument, so the constructor function will generally put all relevant
information into this field. The only exception is the shrink
parameter which is used to determine if scales are retrained after Stat
transformations has been applied.
All stat_*
functions (like stat_bin
) return a layer that
contains a Stat*
object (like StatBin
). The Stat*
object is responsible for rendering the data in the plot.
Each of the Stat*
objects is a ggproto()
object, descended
from the top-level Stat
, and each implements various methods and
fields. To create a new type of Stat object, you typically will want to
override one or more of the following:
One of :
compute_layer(self, data, scales, ...)
,
compute_panel(self, data, scales, ...)
, or
compute_group(self, data, scales, ...)
.
compute_layer()
is called once per layer, compute_panel_()
is called once per panel, and compute_group()
is called once per
group. All must return a data frame.
It's usually best to start by overriding compute_group
: if
you find substantial performance optimisations, override higher up.
You'll need to read the source code of the default methods to see
what else you should be doing.
data
is a data frame containing the variables named according
to the aesthetics that they're mapped to. scales
is a list
containing the x
and y
scales. There functions are called
before the facets are trained, so they are global scales, not local
to the individual panels....
contains the parameters returned by
setup_params()
.
finish_layer(data, params)
: called once for each layer. Used
to modify the data after scales has been applied, but before the data is
handed of to the geom for rendering. The default is to not modify the
data. Use this hook if the stat needs access to the actual aesthetic
values rather than the values that are mapped to the aesthetic.
setup_params(data, params)
: called once for each layer.
Used to setup defaults that need to complete dataset, and to inform
the user of important choices. Should return list of parameters.
setup_data(data, params)
: called once for each layer,
after setup_params()
. Should return modified data
.
Default methods removes all rows containing a missing value in
required aesthetics (with a warning if !na.rm
).
required_aes
: A character vector of aesthetics needed to
render the geom.
default_aes
: A list (generated by aes()
of
default values for aesthetics.
All position_*
functions (like position_dodge
) return a
Position*
object (like PositionDodge
). The Position*
object is responsible for adjusting the position of overlapping geoms.
The way that the position_*
functions work is slightly different from
the geom_*
and stat_*
functions, because a position_*
function actually "instantiates" the Position*
object by creating a
descendant, and returns that.
Each of the Position*
objects is a ggproto()
object,
descended from the top-level Position
, and each implements the
following methods:
compute_layer(self, data, params, panel)
is called once
per layer. panel
is currently an internal data structure, so
this method should not be overridden.
compute_panel(self, data, params, scales)
is called once per
panel and should return a modified data frame.
data
is a data frame containing the variables named according
to the aesthetics that they're mapped to. scales
is a list
containing the x
and y
scales. There functions are called
before the facets are trained, so they are global scales, not local
to the individual panels. params
contains the parameters returned by
setup_params()
.
setup_params(data, params)
: called once for each layer.
Used to setup defaults that need to complete dataset, and to inform
the user of important choices. Should return list of parameters.
setup_data(data, params)
: called once for each layer,
after setup_params()
. Should return modified data
.
Default checks that required aesthetics are present.
And the following fields
required_aes
: a character vector giving the aesthetics
that must be present for this position adjustment to work.
All scale_*
functions like scale_x_continuous()
return a Scale*
object like ScaleContinuous
. Each of the Scale*
objects is a ggproto()
object, descended from the top-level Scale
.
Properties not documented in continuous_scale()
or discrete_scale()
:
call
The call to continuous_scale()
or discrete_scale()
that constructed
the scale.
range
One of continuous_range()
or discrete_range()
.
Methods:
is_discrete()
Returns TRUE
if the scale is a discrete scale
is_empty()
Returns TRUE
if the scale contains no information (i.e.,
it has no information with which to calculate its limits
).
clone()
Returns a copy of the scale that can be trained
independently without affecting the original scale.
transform()
Transforms a vector of values using self$trans
.
This occurs before the Stat
is calculated.
train()
Update the self$range
of observed (transformed) data values with
a vector of (possibly) new values.
reset()
Reset the self$range
of observed data values. For discrete
position scales, only the continuous range is reset.
map()
Map transformed data values to some output value as
determined by self$rescale()
and self$palette
(except for position scales,
which do not use the default implementation of this method). The output corresponds
to the transformed data value in aesthetic space (e.g., a color, line width, or size).
rescale()
Rescale transformed data to the the range 0, 1. This is most useful for
position scales. For continuous scales, rescale()
uses the rescaler
that
was provided to the constructor. rescale()
does not apply self$oob()
to
its input, which means that discrete values outside limits
will be NA
, and
values that are outside range
will have values less than 0 or greater than 1.
This allows guides more control over how out-of-bounds values are displayed.
transform_df()
, train_df()
, map_df()
These _df
variants
accept a data frame, and apply the transform
, train
, and map
methods
(respectively) to the columns whose names are in self$aesthetics
.
get_limits()
Calculates the final scale limits in transformed data space
based on the combination of self$limits
and/or the range of observed values
(self$range
).
get_breaks()
Calculates the final scale breaks in transformed data space
based on on the combination of self$breaks
, self$trans$breaks()
(for
continuous scales), and limits
. Breaks outside of limits
are assigned
a value of NA
(continuous scales) or dropped (discrete scales).
get_labels()
Calculates labels for a given set of (transformed) breaks
based on the combination of self$labels
and breaks
.
get_breaks_minor()
For continuous scales, calculates the final scale minor breaks
in transformed data space based on the rescaled breaks
, the value of self$minor_breaks
,
and the value of self$trans$minor_breaks()
. Discrete scales always return NULL
.
make_title()
Hook to modify the title that is calculated during guide construction
(for non-position scales) or when the Layout
calculates the x and y labels
(position scales).
These methods are only valid for position (x and y) scales:
dimension()
For continuous scales, the dimension is the same concept as the limits.
For discrete scales, dimension()
returns a continuous range, where the limits
would be placed at integer positions. dimension()
optionally expands
this range given an expantion of length 4 (see expansion()
).
break_info()
Returns a list()
with calculated values needed for the Coord
to transform values in transformed data space. Axis and grid guides also use
these values to draw guides. This is called with
a (usually expanded) continuous range, such as that returned by self$dimension()
(even for discrete scales). The list has components major_source
(self$get_breaks()
for continuous scales, or seq_along(self$get_breaks())
for discrete scales), major
(the rescaled value of major_source
, ignoring
self$rescaler
), minor
(the rescaled value of minor_source
, ignoring
self$rescaler
), range
(the range that was passed in to break_info()
),
labels
(the label values, one for each element in breaks
).
axis_order()
One of c("primary", "secondary")
or c("secondary", "primary")
make_sec_title()
Hook to modify the title for the second axis that is calculated
when the Layout
calculates the x and y labels.
ggproto


Ocean [aa54], ocean, in Crystal Sea
Last updated Turn #72
Ocean [aa54], ocean, in Crystal Sea
------------------------------------------------------------------------
20: Fast Sail [ht2u], ship, 3 hulls, 1 rowing port, 9 sails, arrived from
20: Ocean [aa55], owner:
20: Stewart [k0u], Pen, with 12 sailors
21: Fast Sail [ht2u], ship, 3 hulls, 1 rowing port, 9 sails, departed for
21: Ocean [aa53].
30: It has stopped raining.
Routes leaving Ocean:
East, to Ocean [aa55], 6 days
South, to Ocean [ab54], 6 days
West, to Ocean [aa53], 6 days
The province is blanketed in fog.
No one can be seen through the fog.


Simple front-end boilerplate and workflows.
Boilerplater repository to kick start your web project without wasting your valuable time. Initium contains all useful task from compiling, testing and deploying.


[§198-4] Recordation. Instruments creating, assigning, or otherwise transferring conservation easements shall be recorded in the bureau of conveyances, or the land court, as the case may be, and such instruments shall be subject in all respects to the requirements of chapters 501 and 502. [L 1985, c 149, pt of §1]
Note
The amendment made by L 2014, c 218, §8 is not included in this section.


--- title: GARDEN POETRY WALK date: 2017-04-02 00:00:00 -06:00 categories: - spring subtitle: '' layout: events event-image: poetry-walk.jpg event-dates: VARIOUS DATES, APRIL 2016 event-location: Red Butte Garden Visitor Center button-type: '' tickets-link: '' calendar-link: '' member-sale-date: N/A public-sale-date: N/A member-cost: Free public-cost: Garden Admission event-notes: free for members tickets-button: hide calendar-button: '' ---
Did you know April is National Poetry Month? Celebrate this important literary art with a stroll through the Garden to find eleven poetry boxes featuring poems written by winners of our Spring Poetry Contest.
Throughout April the Garden also hosts a special audio tour featuring recordings of our contest winners performing readings of their poems, all accessible from your cell phone.
Follow the instructions at each poetry box to access audio recordings. The audio tour is free, but normal cell phone carrier usage rates apply. Please be considerate of other Garden guests and listen to audio content through headphones or your phone’s earpiece.
Sign up to attend a Garden Poetry Reading featuring live readings from many of the poets themselves on Wednesday, April 26 from 5:30-6:30PM. CLICK HERE TO SIGN UP


My todo list
Have breakfast
Clean my room
Make the bed
Play the drums
Cook lunch for me and my mother
Sweep the floor
Study for college's finals
Do the bootcamp exercises
Watch some Simpsons episodes


@* * Copyright 2010-2013 Artima, Inc. * * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. *@ @import controllers.Application.scalatestScaladocsPageUrl @import controllers.Application.scaladocsPageUrl @userGuidePage("Requirements") {
The Requirements trait that contains require
, and requireState
, and requireNonNull
methods for checking pre-conditions
that give descriptive error messages extracted via a macro.
These methods of trait Requirements
aim to improve error messages provided when a pre-condition check fails at runtime in
production code. Although it is recommended practice to supply helpful error messages when doing pre-condition checks, often people
don't. Instead of this:
scala> val length = 5 length: Int = 5 scala> val idx = 6 idx: Int = 6 scala> require(idx >= 0 && idx <= length, "index, " + idx + ", was less than zero or greater than or equal to length, " + length) java.lang.IllegalArgumentException: requirement failed: index, 6, was less than zero or greater than or equal to length, 5 at scala.Predef$.require(Predef.scala:233) ...
People write simply:
scala> require(idx >= 0 && idx <= length) java.lang.IllegalArgumentException: requirement failed at scala.Predef$.require(Predef.scala:221) ...
Note that the detail message of the IllegalArgumentException
thrown by the previous line of code is simply, "requirement failed"
.
Such messages often end up in a log file or bug report, where a better error message can save time in debugging the problem.
By importing the members of Requirements
(or mixing in its companion trait), you'll get a more helpful error message
extracted by a macro, whether or not a clue message is provided:
scala> import org.scalactic._ import org.scalactic._scala> import Requirements._ import Requirements._
scala> require(idx >= 0 && idx <= length) java.lang.IllegalArgumentException: 6 was greater than or equal to 0, but 6 was not less than or equal to 5 at org.scalactic.Requirements$RequirementsHelper.macroRequire(Requirements.scala:56) ...
scala> require(idx >= 0 && idx <= length, "(hopefully that helps)") java.lang.IllegalArgumentException: 6 was greater than or equal to 0, but 6 was not less than or equal to 5 (hopefully that helps) at org.scalactic.Requirements$RequirementsHelper.macroRequire(Requirements.scala:56) ...
The requireState
method provides identical error messages to require
, but throws
IllegalStateException
instead of IllegalArgumentException
:
scala> val connectionOpen = false connectionOpen: Boolean = falsescala> requireState(connectionOpen) java.lang.IllegalStateException: connectionOpen was false at org.scalactic.Requirements$RequirementsHelper.macroRequireState(Requirements.scala:71) ...
Thus, whereas the require
methods throw the Java platform's standard exception indicating a passed argument
violated a precondition, IllegalArgumentException
, the requireState
methods throw the standard
exception indicating an object's method was invoked when the object was in an inappropriate state for that method,
IllegalStateException
.
The requireNonNull
method takes one or more variables as arguments and throws NullPointerException
with an error messages that includes the variable names if any are null
. Here's an example:
scala> val e: String = null e: String = nullscala> val f: java.util.Date = null f: java.util.Date = null
scala> requireNonNull(a, b, c, d, e, f) java.lang.NullPointerException: e and f were null at org.scalactic.Requirements$RequirementsHelper.macroRequireNonNull(Requirements.scala:101) ...
Although trait Requirements
can help you debug problems that occur in production, bear in mind that a much
better alternative is to make it impossible for such events to occur at all. Use the type system to ensure that all
pre-conditions are met so that the compiler can find broken pre-conditions and point them out with compiler error messages.
When this is not possible or practical, however, trait Requirements
is helpful.
Next, learn about Snapshots.


Given a binary tree containing digits from 0-9
only, each root-to-leaf path could represent a number.
An example is the root-to-leaf path 1->2->3
which represents the number 123
.
Find the total sum of all root-to-leaf numbers.
Note: A leaf is a node with no children.
Example:
Input: [1,2,3]
1
/ \
2 3
Output: 25
Explanation:
The root-to-leaf path 1->2 represents the number 12.
The root-to-leaf path 1->3 represents the number 13.
Therefore, sum = 12 + 13 = 25.
Example 2:
Input: [4,9,0,5,1]
4
/ \
9 0
/ \
5 1
Output: 1026
Explanation:
The root-to-leaf path 4->9->5 represents the number 495.
The root-to-leaf path 4->9->1 represents the number 491.
The root-to-leaf path 4->0 represents the number 40.
Therefore, sum = 495 + 491 + 40 = 1026.
To write a clean solution for this promblem, use 0
as indicator of leaf node. If all the children get 0
, it is a leaf node, return the sum of current level.
/**
* Definition for a binary tree node.
* function TreeNode(val) {
* this.val = val;
* this.left = this.right = null;
* }
*/
/**
* @param {TreeNode} root
* @return {number}
*/
var sumNumbers = function(root, sum = 0) {
if (!root) { return 0 }
sum = sum * 10 + root.val
return sumNumbers(root.left, sum) + sumNumbers(root.right, sum) || sum
};
Template generated via Leetmark.


NooBaa licensing is very simple.
Community version
The community version is a fully functional version, limited only by size - and free up to 20TB.
Enterprise version
Tne enterprise version is different from the community version only in the support level and the scale, which is multi PB scale.
Payment is always by used capacity and can be monthly subscription or yearly subscription.
For further discussion, please contact info@noobaa.com


John Toterhi
John joined CO/DE in October 2018 to help develop reverse engineering and vulnerability research workshops.
John has worked as a civilian malware analyst with the...
Continue reading →
CO/DE’s mission is to develop deep, technical, open source cybersecurity training material. Our aim is to provide free and inclusive cybersecurity training through hands-on workshops you can teach within your organization, club, university, or just go through solo.
Through CO/DE workshops you’ll gain real-world experience with hand-ons lessons built by cybersecurity professionals specializing in a variety of disciplines.
We’ve learned nearly everything we know from free online content and our peers. We marveled at Aleph1’s Smashing the Stack for Fun and Profit, reverse engineered our way through Lena151 tutorials using Ollydbg, we worked tirelessly through Corelan’s win32 exploitation guides, and spent countless sleepless weekends competing in CTFs. All of this amazing content (and much more) provided for free, without anything asked in return.
CO/DE’s one and only goal is to continue this tradition within the cybersecurity community and give back to the community.
Follow us on Twitter @hackingwithcode for updates on the development of new workshops.
John joined CO/DE in October 2018 to help develop reverse engineering and vulnerability research workshops.
John has worked as a civilian malware analyst with the...
Continue reading →


Kamal Haasan visits Indian hockey team in Bhubaneswar
by TIMESOFINDIA.COMNEW DELHI: Visiting Odisha capital Bhubaneswar to receive an honorary doctorate for his contribution to Indian cinema, veteran actor and founder of the Makkal Needhi Maiam political party in Tamil Nadu, Kamal Haasan, made a special stop on Tuesday. The veteran actor took time out of his busy schedule to meet the Indian men's hockey team and the Odisha FC team, currently training at the Kalinga Stadium.
Haasan met the players and was also presented with official jerseys of the two teams. Captain of the Indian hockey team, Manpreet Singh, and his senior teammate PR Sreejesh could be seen clicking selfies with Haasan, who also toured the extensive facilities in the Kalinga Stadium complex.
Earlier during his visit, Haasan also met the Chief Minister of Odisha, Naveen Patnaik, to seek his advice on politics.
"Thank you @CMO_Odisha for your wonderful hospitality & love. I’ll always cherish this visit & our conversations. I’ve a lot more to imbibe from you & implement in my beloved Tamil Nadu. Odisha is a treasure trove in your good, able hands. My salutations to you & your team Sir," the 65-year-old actor cum politician tweeted.


Here is an almost completely static page.
There's more going on at the Entry Form and the display.
Haha, not entirely static. I at least recalled your rant. You said: {{ session.rant }}.
I kept that in a cookie. That's what the 'session' object in Flask is. Cookies are small; don't try to put too much in them.


HOME
MEMBERSHIP
ABOUT
Membership
First Name:
Last Name:
Address:
Post Code:
Phone:
Email:
Subscription:
--Select One--
Family - $20
Student - $5
Single Adult - $10
Adult 70+ - Free
Partner:
YES
NO
Siblings:
YES
NO
Children:
YES
NO
Activities involved:
Basketball
Chinese School
Newsletter
Social
Fundraising
Cultural
Other
Submit


k-mer Len Max Mismatches: Include rev compls? Debug Most Freq k-mers only All k-mers w/ Threshold frequency(t) Brute Force Freq Array Object Sort Run Tree
k-mer Len Clump size(L) Threshold frequency(t) Max Mismatches: Include rev compls? Method: Brute Tree LT Clump Stop
k-mer Len Max Mismatches: Num Iterations: Laplace? Debug k d Motifs Brute Median String Greedy Motif Random Motif Gibbs Sampler Run Score Motifs
Read Len Pair Distance: Num Iterations: Hamilton Graph DeBruijn Graph Debug DNA Reads Adjacency List Paired DNA Paired Reads Run Graph Path Cycle Brk PrToRd RDup
Use Start Codon Use Stop Codon All Reading Frames Frame offset Reverse Debug Input: DNA RNA Protein Run Transcribe/Translate Translate Retro
Convolution Leaderboard Size Linear Circular Debug Input: Peptide Exp Spectrum Use: Run Gen Ideal Spectrum Sequencing (brute) Sequencing (leaderboard) Sequencing (leaderboard conv)
Indel Penalty Mismatch Penalty Use PAM250 Matrix Use Blosum62 Matrix No Scoring Matrix Debug LCS Edit Distance Global Align Local Align Fitting Align Overlap Align Run Linear Space Thresh Affine Open gap pen
Debug Allow Stepping Distance Matrix DNA alignments Adjacency List Run Step Additive Ultramet N/b join Display Small Pars Large Pars
Rev Comp Prof Most Prob Pattern to Number Number to Pattern d-Neighbourhood Dist pattern vs strings string from genome path Universal string Genome Path to string DNA to Amino String RNA to Amino String Find Amino Acid sequence in genome Spectrum Num peptides with mass Cyclopeptide sequencing Cyclopeptide score Leaderboard Cyclopeptide seq Trim Leaderboard Spectrum Convolution Edit Dist badgood Lowest Coins Align DNA badgood Align Blosum badgood Align LCS badgood Longest Path DAG Longest Path Manhattan Grid Topological ordering Greedy Rev Dist Num Breakpoints Breakpoint Graph Shared kmers Synteny construction Turnpike Dist Mat from Tree Limb Length Additive Phylogeny from dist mat Additive Phylogeny from alignments Ultrametric tree from dist mat Test graph printing Alg - Fibonacci Alg - Binary search Alg - Insertion Sort Alg - Majority Element Alg - Merge Sorted Arrays Alg - Merge Sort Alg - Count inversions Alg - 2Sum Alg - 3Sum Alg - Binary Heap Alg - Heap sort Alg - Heap sort partial Alg - Degree Alg - Double Degree Alg - Two way partition Alg - Three way partition Alg - Median Alg - Quick Sort Top order DAG Turnpike Alg - Depth-first search Alg - Breadth-first search Alg - Nearest Neighbours BA8A Farthest First Traversal Load P1 Load P2 Execute


derelict.util.exception
- class DerelictException: object.Exception;
- Base class for all exceptions thrown by Derelict packages.
- struct FailedSharedLib;
- Helper struct to facilitate throwing a single SharedLibException after failing
to load a library using multiple names.
- class SharedLibLoadException: derelict.util.exception.DerelictException;
- This exception is thrown when a shared library cannot be loaded
because it is either missing or not on the system path.
- class SymbolLoadException: derelict.util.exception.DerelictException;
- This exception is thrown when a symbol cannot be loaded from a shared library,
either because it does not exist in the library or because the library is corrupt.
- alias MissingSymbolCallbackFunc = bool function(string libName, string symbolName);
- The MissingSymbolCallback allows the app to handle the case of missing symbols. By default,
a SharedLibSymbolLoadException is thrown. However, if a the app determines that
particular symbol is not needed, the callback can return true. This will cause
the shared library to continue loading. Returning false will cause the exception
to be thrown.
Page generated by Ddoc.


{% include "includes/head.html" %}
{{ h2 or "Enter your phone number." }}
{{ p | safe or "You won't have to create a password. Your phone is your authenticator." }}
Back
{% include "includes/footer.html" %}


Sir Philip Anthony Hopkins CBE (born 31 December 1937) is a Welsh[1] actor, director, and producer. He won the Academy Award for Best Actor in 1992, and was nominated three additional times. Hopkins has also won three BAFTA Awards, two Emmys, and the Cecil B. DeMille Award. In 1993, he was knighted by Queen Elizabeth II for services to the arts.[2] Hopkins received a star on the Hollywood Walk of Fame in 2003, and in 2008, he received the BAFTA Fellowship for lifetime achievement from the British Academy of Film and Television Arts.[3][4] After graduating from the Royal Welsh College of Music & Drama in 1957, he trained at the Royal Academy of Dramatic Art in London, and was then spotted by Laurence Olivier who invited him to join the Royal National Theatre. In 1968, he achieved renown, playing Richard the Lionheart in the Academy Award-winning film The Lion in Winter. In the mid 1970s, Richard Attenborough, who would direct five Hopkins films, called him "the greatest actor of his generation." Hopkins is perhaps best known for his portrayal of Hannibal Lecter in The Silence of the Lambs, for which he won the Academy Award for Best Actor, its sequel Hannibal, and the prequel Red Dragon. Other notable films include The Mask of Zorro, The Bounty, Meet Joe Black, The Elephant Man, Magic, 84 Charing Cross Road, Bram Stoker's Dracula, Legends of the Fall, Thor and its sequels, The Remains of the Day, Amistad, Nixon, The World's Fastest Indian, Instinct and Fracture. In 2015, he starred in the BBC television film The Dresser, and since 2016, he has starred in the HBO television series Westworld. Here you can find more about him...


FontUnstack
Phil Oye's original FontUnstack is a jQuery plugin. Seeing its utility isn't limited to jQuery users, I've reimplemented it as a MooTools plugin. I created this as a separate GitHub repo for a few reasons:
- The names of the files are changed, making any sort of merge between the two problematic
- There is a distinct probability these files will diverge rapidly, as this version is a bit of a kluge that straddles both MooTools 1.11 and MooTools 1.2 API's and I'm going to work on cleaning it up as I go forward with it
- To keep open my future options with this plugin
The rest of the text of this page is Phil's. I merely did some minor layout revisions. Plus, just because I could, I recast it as HTML5
FontUnstack provides a workaround for the CSS/browser limitation of not knowing which typeface in a CSS font stack is actually used on the client-side. It simply adds a class with the name of the installed font to your desired HTML element(s). From there, you use CSS to do something interesting with that new class name.
To see what is happening in this example, you'll need Georgia and Times (or Times New Roman) installed.
Accounting for differences in x-height
The body text uses Georgia and then fallback to Times/Times New Roman. Georgia has a large x-height, making it appear larger, and benefits from more lead, while the fallback, Times/Times New Roman, has a small x-height and needs less lead. Also, width of the typefaces differ so the measure changes (the number of characters per line). Let’s bring out our old friend Lorem Ipsum to illustrate. First in Georgia.
Lorem ipsum dolor sit amet, consectetur adipisicing elit, sed do eiusmod tempor incididunt ut labore et dolore magna aliqua. Ut enim ad minim veniam, quis nostrud exercitation ullamco laboris nisi ut aliquip ex ea commodo consequat. Duis aute irure dolor in reprehenderit in voluptate velit esse cillum dolore eu fugiat nulla pariatur. Excepteur sint occaecat cupidatat non proident, sunt in culpa qui officia deserunt mollit anim id est laborum.
Now in Times, with the same type size, width, and line-height.
Lorem ipsum dolor sit amet, consectetur adipisicing elit, sed do eiusmod tempor incididunt ut labore et dolore magna aliqua. Ut enim ad minim veniam, quis nostrud exercitation ullamco laboris nisi ut aliquip ex ea commodo consequat. Duis aute irure dolor in reprehenderit in voluptate velit esse cillum dolore eu fugiat nulla pariatur. Excepteur sint occaecat cupidatat non proident, sunt in culpa qui officia deserunt mollit anim id est laborum.
It isn't terrible, but notice the wrapping is different, and the spacing between lines is more open. To account for these differences, let’s use a smaller line-height (1.4 vs 1.5) and a narrower width on the paragraph (30em vs 35em).
Lorem ipsum dolor sit amet, consectetur adipisicing elit, sed do eiusmod tempor incididunt ut labore et dolore magna aliqua. Ut enim ad minim veniam, quis nostrud exercitation ullamco laboris nisi ut aliquip ex ea commodo consequat. Duis aute irure dolor in reprehenderit in voluptate velit esse cillum dolore eu fugiat nulla pariatur. Excepteur sint occaecat cupidatat non proident, sunt in culpa qui officia deserunt mollit anim id est laborum.
Now it matches the wrapping of the copy set in Georgia.
Pullquotes and negative margins
A hanging quote (when the “ sits outside the left margin and the first letter lines up instead) is normally difficult to achieve when you don't actually know what typeface is used, because the width of the quote mark is different in different typefaces. An example:
“A hanging pullquote…”
The above is set in Georgia and has a negative of margin of -.5em.
“A hanging pullquote…”
When set in Times, we use a slightly smaller negative left margin of -.45em to get it to align properly.


|
Dear {% if user.get_full_name %}{{ user.get_full_name }}{% else %}Member{% endif %},
Greetings from Peeljobs!
Peeljobs is one of the best job portal website. Where you can search jobs by skill, location, industry, functional area etc.
You no need to register into our website. You can log in with your existing social networking sites like Facebook, Google+, Linkedin, Github with one click. Here are few techniques to get into a challenging career.
Get job alerts
Create job alerts to get opportunities that interest you. So, that you are always first to hear about the jobs that you really care/want about.
If you have any further queries, please mail to<EMAIL_ADDRESS>We are happy to help you.
|


R/tinselR.R
tinselR.Rd
This is a phylogenetic tree application for annotating trees with additional information. Additional information could come from a genetic distance file or meta data file.
The modules of tinselR are described below:
mod_about - this module generates the landing page for the application and provides a link to the github repo where users may file an issue.
mod_aboutExample - this module generates the tab detailing the example data that is pre-loaded when the application launches.
mod_aboutTreeParams - this module generates the landing page which describes the tree parameters that a user can adjust.
mod_cladeAnnotator - this module allows the user to add or remove annotations and checks for overlap between those annotations and allows the addition of the heatmap. The final annotated tree is sent to the downloadTree module for downloading. This module uses 6 functions: create_tip_list, make_layer, add_map, add_annotations, current_tree_out and snp_anno.
mod_displayTree - this module combines the tree with genetic distance that allows tree plotting and accessing the combined genetic data for adding annotations. This module uses 2 functions: tree_plot and combine_g_and_t.
mod_exampleData - this module sources the pre-loaded example data (e.g. tree (x3), genetic distance file (x3), and meta data file (x3)), which are already combined as a dataset (e.g. example data 1 is the combined data files of example tree 1, example genetic 1, and example meta 1). This module uses 3 functions: replace_column_header, gene_object_out, m_file_conversion.
mod_FAQ - this module generates the tab for a frequently asked questions section.
mod_paramsTree - this module holds all of the parameters that can be adjusted for the phylogenetic tree and ultimately are passed to either the displayTree or cladeAnnotator module.
mod_pushButtons - this module generates the action buttons for adding a tree, adding/removing a tree, or adding/removing a heatmap.
mod_relaunchApp - this module will relaunch the entire application and clear out any exisiting tree images that are plotted.
mod_tipCheck - this module generates messages for the user regarding the files uploaded and if column(s) for a heatmap is available. This module uses 3 functions: sanity, not_columns, and m_file_conversion.
mod_uploadData - this module allows the user to upload three different types of files and does file checking to confirm the correct delimiter is selected. The output from this module is sent to three different modules (tipCheck, displayTree, and cladeAnnotator). This module uses 5 server functions: read_data, file_type, file_check, replace_column_header, gene_object_out. This module uses 2 ui functions: file_upload and input_separator.
The functions of tinselR are described below:
The functions that are shared between modules or unit testing are included in file called goelm_utils_server.R We describe those functions below and indicated where these functions are called.
sanity - Inputs: m_file, g_file, t_file - which are the three different file types a user can upload and are imported (meta, file, genetic distance file, and a tree file). g_file class - spec_tbl_df, tbl_df, tbl, data.frame; m_file class - spec_tbl_df, tbl_df, tbl, data.frame; t_file class - phylo. Output: ui displayed messages indicating if the files are concordant in tip labels and informing the user where an inconsistency is in tip labels for the three files. Used in tipcheck module and unit tests.
not_columns - Input: file - this file is the meta data file that has been converted using the function m_file conversion. file class - spec_tbl_df, tbl_df, tbl, data.frame. Output: ui displayed message that tells user if there is a column included that allows the user to add a heatmap. Used in tipcheck module and unit tests.
replace_column_header - Inputs: gene_file_in - this is the genetic distance file which is imported. gene_file_in class - spec_tbl_df, tbl_df, tbl, data.frame. Output: spec_tbl_df, tbl_df, tbl, data.frame with row 1, column 1 changed to 'label', which is done for joining this file with the tree file. Used in uploadData and exampleData module.
gene_object_out - Inputs: gene_file_in - this is the genetic distance file which is imported. gene_file_in class - spec_tbl_df, tbl_df, tbl, data.frame. Output: spec_tbl_df, tbl_df, tbl, data.frame. Essentially, this converts the matrix to a three column data frame (isolate 1, isolate 2, and pairwise snp differences between them). It also removes rows with na and self comparisons as that would skew the calculation of mean snps. Used in uploadData and exampleData module.
m_file_conversion - Input: m_file - this file is the meta data file that has been converted using the function m_file conversion. m_file class - spec_tbl_df, tbl_df, tbl, data.frame. Output: meta data file with converted tips labels to row names and the removal of the original tip labels that you a user is correcting for. used in tipCheck and exampleData modules.
combine_g_and_t - Inputs: tree_file and gene_file - these files are used to be combined by the shared id of label. gene_file class - spec_tbl_df, tbl_df, tbl, data.frame; t_file class - phylo. Output - a tibble that will be converted to a treedata object. Used in displayData module and unit tests.
snp_anno - Inputs: gene_file and tips - gene_file is the converted three column genetic distance file; while the tips input all user selected tips. gene_file class - spec_tbl_df, tbl_df, tbl, data.frame; tips class - list. Output: is a numeric vector of snp differences for the selection of highlighted tips. Used in the cladeAnnotator module and unit tests.
The functions that are only used in specific modules are defined in those modules. We describe those functions below and indicated the modules these functions are associated with.
create_tip_list - Inputs: none. Output: is a list with incremented counts associated with a user selection or brushed tips.
make_layer - Inputs: tree, tips, label, color, offset - tree is a treedata object, tips - user selected tips, label - determines the node for where the annotation is drawn and is used subsequently to calculate the median and range of snps in the add_annotation function, color - user determined color of the label, offset - user determined offset from the tip labels. Output: ultimately remembers all layers that need to be added to a phylogenetic tree.
add_map - Inputs: tree, metaFile - tree is a treedata object, metaFile is of class - spec_tbl_df, tbl_df, tbl, data.frame after converting the meta data file. Output: is a column for the heatmap color coded by the data within the column (e.g. source site data colored by collection source).
add_annotations - Inputs: tree_plot and tip_vector_in - tree_plot is a treedata object while tip_vector_in uses the function create_tip_list to known which tips have been selected. This function determines if there are overlapping tip labels in user selected tips. If so, then adjusts the placement of the annotation. Additionally, this function relies on the make_layer function to determine the placement of drawn on annotations and adds the median and range of snps for annotations.
current_tree_out - Inputs: none. Outputs - tree which includes the added heatmap if avaiable, added annotations if selected.
tree_plot - Input: either a tree of class phylo if no genetic data uploaded or a treedata object. Output: tree of class ggtree, gg, ggplot.
read_data - Inputs: file_path and sep. file_path is the path to the location of the file you are interested in uploading, while sep is the delimiter for the selected file, which can be a comma or tab. Output: is an imported file for genetic distance and/or meta data file.
file_type - Inputs: in_var is the input delimiter for the file uploaded. Output: returns either a comma or a tab, which is used in file_check function to determine if the correct delimiter has be selected.
file_check - Inputs: file_up, file_type, file_sep - file_up is the file a user has uploaded, file_type is the mapped type of delimiter, file_sep is the user selected separator used in the read_data function. Output: ui displayed message which confirms if user has selected the corrector delimiter for the files they uploaded.
file_upload - Inputs: file_id and file_label - file_id is the assigned id to the file, while file_label is the label assigned to the file and is visible in the ui. Outputs: Ultimately the uploaded file type can be of text, csv, or txt format.
input_separator - Inputs: file_id and file_label - file_id is the assigned id to the file, while file_label is the label assigned to the file and is visible in the ui. Output is the type of file format can either be tab or comma.


{% extends '_main.html' %} {% load waffle_tags %} {% block page_title %}{{ application_nice_name }} - {{ block.super }}{% endblock %} {% block breadcrumbs %}
{% endblock %} {% block head %} {{ block.super }} {% endblock %} {% block content %}{{ application_nice_name }} will be automatically stopped after two hours of inactivity
{{ loading_message.title }}
{{ loading_message.body }}
It is your personal responsibility, alongside DBT’s corporate responsibility, to protect and handle data
appropriately. This includes adhering to the Data Protection Act 2018 and General Data Protection Regulation
(GDPR).
Before you work with a dataset, check the Government Security Classification and usage restrictions on the Data Workspace catalogue.
If you are unsure about what you can and can’t do, contact the dataset’s Information Asset Owner.
If you need to share or publish data that contains Personally Identifiable Information (PII), contact the Data
Protection team (data.protection@trade.gov.uk).
Remember you have a personal responsibility - alongside DBT’s corporate responsibility - to protect data.
If you’re unsure about what you can and can’t do, contact the Data Protection team<EMAIL_ADDRESS>or talk to your line manager.
{% endflag %}


{% extends 'casestudy/base.html' %} {% load static from staticfiles %} {% block head_title %}Maxwell Scott Bags case study - great.gov.uk{% endblock %} {% block quote_one_text %} Working with Amazon has allowed us to save money on buying our own warehouses and additional manpower, and focus on growing other areas of the business. {% endblock %} {% block quote_one_name %} William Forshaw {% endblock %} {% block quote_one_job_title %} Founder {% endblock %} {% block quote_one_link %} Maxwell Scott Bags {% endblock %} {% block main_content %}
In 2013, Maxwell Scott Bags noticed an increase in orders from Germany. They decided to launch new German and US websites and achieved instant success.
The business grew by 300% in 3 years leading to the appointment of a Head of e-Marketplaces who focuses on expanding the business online.
The business asked the Department for International Trade (DIT) for marketplace advice to help the company grow. An e-commerce advisor at DIT suggested they try Amazon and the platform now accounts for 25% of Maxwell Scott Bags export sales.
{% endblock %} {% block quote_two_text %} We currently sell on Amazon, which is going really well for us and contributes 25% to our total export sales. {% endblock %} {% block quote_two_name %} William Forshaw {% endblock %} {% block quote_two_job_title %} Founder {% endblock %} {% block quote_two_link %} Maxwell Scott Bags {% endblock %}


Prolog meta-interpretation for syntax checking
Prolog is a fantastic toolkit for developing Domain Specific Languages (DSLs). Lexing and parsing are a breeze with the use of Declarative Clause Grammars (DCGs), and writing a interpreter or compiler is an essentially rule-based transformation problem anyhow.
But before we set about interpreting or compiling an expression, we need to know that a term, represented as an abstract syntax tree (AST) is well formed.
Writing a predicate which admits only those terms which conform to a given syntax is likewise very convenient in prolog. For instance, if we wanted to write down a predicate that checks the well-formedness of integer bearing lists, we might write it as follows:
isa_int_list([]).
isa_int_list([H|T]) :-
isa_integer(H),
isa_int_list(T).
When we undertake to use this predicate, we can certainly tell if a (already ground) list is well-formed. However, if it is not well formed, we are not given an enormous amount of feedback. We are instead entreated to the singularly uninformative result:
?- isa_int_list([1,2,x]).
false.
Well, we know it’s not an integer list, and given that we have an incredibly simple syntax, we can spot right away with the naked eye, the problem with the term. However, if the term is large, and the syntax is complex, returning false will not necessarily enlighten us to the source of the problem.
In the past I’ve dealt with this problem by writing relatively complicated syntax checkers, which throw errors when terms are known to be ill-formed, or keep track of failures to report to the top level.
This unfortunately defeats the clear expressive rule based qualities of the above code which neatly captures what we mean when we say that we have a list of integers. It both complicates the code, and increases the probability that you’ll not even express the intended conditions in the predicate.
Enter the metainterpreter
This is where metainterpretation comes to the rescue. Metainterpretation is a strategy for implementing custom interpretation of terms in prolog, using the fact that prolog is homoiconic and we can easily appropriate functionality from the host system. For an overview of metainterpretation, it’s worth reading Markus Triska’s examples here, or looking at the relevant section in The Art of Prolog.
Instead of writing a new predicate, we can reuse our predicate coupled with a metainterpreter which assumes a number of things about the predicate in question. We demand that the predicate be deterministic, i.e. it succeed in assigning the term to our accepted class in precisely one way. This is similar to the constraint that most type systems use to simplify checking and inference. We also demand that it draw from a relatively small number of primitive predicates and avoid cuts or other impurities.
You can look at the code here: https://github.com/GavinMendelGleason/typo
Our metainterpreter will then execute the predicate, bit by bit, and return none in the event that there is no error, and just(Error) in the case that something has gone wrong. The Error will carry with it all the information about all failed approaches to accepting the term. With this in hand, we can either look at the full failure tree, or we can use the quite effective heuristic, that the deepest failure is likely to be the one that almost succeeded. We can do this by calling deepest/2 to give us back the longest error stack. We can then print this stack with write_stack/1.
So what happens when we try our initial example with our metainterpreter?
-? metainterpret(isa_int_list([1,2,x]), ME),
( ME = just(E)
-> deepest(E,S), write_stack(S)
; true).
x is not an integer
Left conjuct fails: isa_integer(x)
No successful clause for predicate isa_int_list([x])
Right conjuct fails: isa_int_list([x])
No successful clause for predicate isa_int_list([2,x])
Right conjuct fails: isa_int_list([2,x])
No successful clause for predicate isa_int_list([1,2,x])
Instead of false, we’ve found the most likely cause of failure, and the entire path up the syntax tree which resulted in the cascading failure!
Of course the reporting can be done differently, and the heuristic might vary with different uses, but I’ve found this an effective way of describing what has gone wrong. I’ve even found a bug in production code which was exposed when applying the metainterpreter as it tracked down an inadvertent non-determinism!
The take-away lesson for me was that sometimes its better to write a simple metainterpreter than it is to complicate your code. DSLs in prolog are easy to write and you can even write DSLs to help you write your DSLs.
Sometimes meta is betta!
Acknowledgments to Douglas R. Miles, who helped me sort out module manipulation issues.
A software engineer interested in improving the best practices of the software development community through the use of logic, mathematics and formal methods.


This website presents a map of all recorded LiDAR fieldworks from the EO/RS group at the Dept. of Geography, University College London.


AUSD
The AUSD asset pdf
This is the information release page of AUSD asset
you can see the update on this page
Stats
USDT > AUSD
ETH address 0x000673bD202dCc071a32161911E3C1A2E33275FE more info
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AUSD > USDT
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In the initial stage,if the request specific stablecoin is insufficient, other stablecoins will be sent.


Before Change
"test_features_with_targets.csv"),
"featuresetname": "abc123",
"featureset_projname_select": "abc123"})
res_dict = json.loads(rv.data.decode())
assert "PID" in res_dict
while "currently running" in fa.check_job_status(res_dict["PID"]):
time.sleep(1)
new_key = res_dict["featureset_key"]
After Change
"test_features_with_targets.csv"),
"featuresetname": "abc123",
"featureset_projname_select": "abc123"})
new_key = list(rdb.table("features").filter({"name":
"abc123"}).pluck("id").run(conn))[0]["id"]
featureset = xr.open_dataset(pjoin(config["paths"]["features_folder"],
"%s_featureset.nc" % new_key))
assert(all(c in ["class1", "class2", "class3"] for
c in featureset.target.values.astype("U")))


These are basic tests for the rounded control
| Simple Rounded |
I am rounded with lots of text I am rounded with lots of text I am rounded with lots of text
I am rounded with lots of text I am rounded with lots of text I am rounded with lots of text I am rounded with lots of text
|
| Simple Rounded with tail bottom-left (height/width auto) |
I am rounded with lots of text I am rounded with lots of text I am rounded with lots of text
I am rounded with lots of text I am rounded with lots of text I am rounded with lots of text I am rounded with lots of text
|
| Simple Rounded with tail bottom-right (height/width auto) |
I am rounded with lots of text I am rounded with lots of text I am rounded with lots of text
I am rounded with lots of text I am rounded with lots of text I am rounded with lots of text I am rounded with lots of text
|
| Simple Rounded with tail left-top (height/width auto) |
I am rounded with lots of text I am rounded with lots of text I am rounded with lots of text
I am rounded with lots of text I am rounded with lots of text I am rounded with lots of text I am rounded with lots of text
|
| Simple Rounded with tail right-top (height/width auto) |
I am rounded with lots of text I am rounded with lots of text I am rounded with lots of text
I am rounded with lots of text I am rounded with lots of text I am rounded with lots of text I am rounded with lots of text
|
| Simple Rounded with tail left-bottom (height/width auto) |
I am rounded with lots of text I am rounded with lots of text I am rounded with lots of text
I am rounded with lots of text I am rounded with lots of text I am rounded with lots of text I am rounded with lots of text
|
| Simple Rounded with tail right-bottom (height/width auto) |
I am rounded with lots of text I am rounded with lots of text I am rounded with lots of text
I am rounded with lots of text I am rounded with lots of text I am rounded with lots of text I am rounded with lots of text
|
| Simple Rounded with margin and padding around it |
I am rounded
|
| Custom Background Color |
I am rounded
|
| Custom Width / Height |
I am rounded
|
| Width / Height using style attribute |
I am rounded
|
| Tail (left top) |
I am rounded
|
| Tail (left bottom) |
I am rounded
|
| Tail (right bottom) |
I am rounded
|
| Tail (right top) |
I am rounded
|
| Tail (bottom left) |
I am rounded
|
| Tail (bottom right) |
I am rounded
|
| Custom corners (left top) |
I am rounded
|
| Custom corners (right top) |
I am rounded
|
| Custom corners (top) |
I am rounded
|
| Custom corners (right bottom) |
I am rounded
|
| Custom corners (left bottom) |
I am rounded
|
| Custom corners (bottom) |
I am rounded
|
| Rounded in a Panel |
I am rounded
|
| Stacked Rounded |
Foo
Foo
|
| Rounded with form fields |
Username:
Password:
|
| Rounded draggable |
foo
|
| Rounded in a Modal Panel |
I am rounded
|


--- layout: post title: Jakob Nielsen lists the most date: 2004-12-07 00:00:00 ---
Jakob Nielsen lists the most hated advertising techniques. As Steve writes here, "The idea that the key to great marketing is just to shout at your customers for 30 seconds louder than your competitors are shouting is not an accurate description of how the world works. The key to your customers' love is not to act obnoxious enough that they can't help but pay attention.".


{% extends "core/base.html" %} {% load static %} {% block content %}
Thank you. Your order has been received.
| Product | Total |
|---|---|
| Men’s White Shirt x 2 | $86.00 |
| Men’s Black Shirt x 1 | $69.00 |
| Cart Subtotal | $155.00 |
| Shipping and Handing | $15.00 |
| Vat | $00.00 |
| Order total | $325.00 |
Flat no 01, House no 02, Vincent, Dhaka-1207, Bangladesh
Phone: (+880) 19453 821758,
Email: info@companyname.com


Enthusiastic Freelance Full-Stack Developer eager to contribute to team success through hard work, attention to detail and excellent organizational skills. Clear understanding of Python, Django, Backend
and Frontend and trained in Algorithm optimization. Motivated to learn, grow and excel in IT industry.