Brenda’s Grandpa just got a new smart dialysis home device. This allows him to do his treatments at home on his own. The device knows how long it needs to work by monitoring the toxins in his blood as it filters it. Brenda is a high school student but the most tech savvy in her family, so Brenda is asked to help her grandpa set it up. Brenda is looking at the application on grandpa’s phone which sends alerts to remind him to do his treatment, gives real time reports on blood levels, and can even send reports to his doctor with a click of a button, the application describes that the doctor can send updates to the treatment goals and the device will learn from these instructions. Brenda realizes that if the wrong email is put into the app for the doctor that whoever it sends to could adjust grandpa’s treatment. Just as likely, if the doctor sends an adjustment with the wrong decimal point placement then it could be lethal for grandpa.
How do you think this vulnerability should be disclosed?
Publicly, possibly through media outletsPrivately, only to the companies involved
Through a public-private coordinated disclosure
Did not disclose at all till it was widely known


- CSS the right way
- CSS layout
- The position property
- float
- Extra notes
- quiz
- Code Collection
- keys to remember
- Download or Links(not read yet)
- Questions to ask memtor
CSS the right way
CSS (Cascading Style Sheets) HTML is about structure and content (aka, the “content layer”), CSS is about style and appearance.
The key vocabulary words for CSS are: ruleset, selector, declaration block, declarations, property, and value.
commenting in css
/* valid */
CSS Selectors
The selector here (p::first-letter - note the double colon) is a pseudo-element.
This is an example of inline styling and it is to be avoided
Engineers refer to this as maintaining the separation of concerns between HTML and CSS.
the browser will choose the rule with higher specificity.
Cascading The cascade is a process browsers follow to determine which CSS values get applied for all the properties on a given element.
To determine which property-value pairs to apply to a particular element, the browser
Determines which rules apply to the element Takes all the relevant rulesets and sorts them according to their origin (for instance, inline styles vs. external stylesheets — inline styles win over external) and importance (more on importance in a moment) Takes all rulesets that have same origin and importance and sorts them by selector specificity If there are still conflicting values for rulesets with the same importance, origin, and specificity, applies the ruleset that was declared last.
keyword !important(do not use it easily)
CSS resets or CSS normalization to ensure a consistent experience across browsers.
Though box-sizing has three possible values (content-box, padding-box, and border-box), the most popular value is border-box.
pseudo class
div.foo:hover{
background-color: orange;
}
p::first-letter {
text-transform: uppercase;
color: red;
font-size: 30px;
}
CSS basic box model
Inheriting box-sizing Probably
*, *:before, *:after {
box-sizing: inherit;
}
CSS reset webfonts “web safe” fonts (for example, Arial, Helvetica, and Georgia)
font-family font-size font-weight color background-image background-repeat background-size
Tinting
Element selectors (e.g., p {…}) Combination selectors (e.g., .foo.bar {…}) Multi selectors (e.g., .foo, .bar {…}) Descendant selectors (e.g., .foo li {…}) Direct child selectors (e.g., .foo > li {…}) Before and after pseudo-elements selectors (e.g., li::before {…}) Anchor pseudo-classes (e.g., a:hover {…}) Attribute selectors (e.g., input[type=”text”] {…})
a:link {
/* unvisited link */
}
a:visited {
/* visited link */
}
a:hover {
/* mouse over link */
}
a:focus {
/* keyboard focus on link */
}
a:active {
/* selected link (i.e., you've clicked
but not released on the link)
*/
}
a:link {
color: purple;
}
a:hover,
a:focus {
font-size: 20px;
}
a:visited {
color: orange;
}
a:active {
color: black;
}
aside p {
/* make rules */
}
aside > p {
/* make rules */
}
/* key-like styles used by
https://meta.stackexchange.com */
kbd {
display: inline-block;
margin: 0 .1em;
padding: .1em .6em;
font-family: Arial,"Helvetica Neue",Helvetica,sans-serif;
font-size: 11px;
line-height: 1.4;
color: #242729;
text-shadow: 0 1px 0 #FFF;
background-color: #e1e3e5;
border: 1px solid #adb3b9;
border-radius: 3px;
box-shadow: 0 1px 0 rgba(12,13,14,0.2), 0 0 0 2px #FFF inset;
white-space: nowrap;
}
Exact match: element[attribute=value] Match pattern anywhere in value: element[attribute*=value] Match pattern at beginning of value: element[attribute^=value] Match pattern at end of value: element[attribute$=value]
CSS layout
margin: auto
When you need to horizontally center block-level content relative to a parent element, margin: auto is your friend.
works only for block-level elements
Inline elements
An inline element – for example, a, strong, em, or span – doesn’t start on a new line and usually does not contain additional elements, but instead just contains text
another definition =>(An inline element does not start on a new line and only takes up as much width as necessary.)
The following works with inline elements centering.
text-align: center;
text-shadow
Check out this link for example.
You can change the visual presentation of an element using the CSS display property. For example, by changing the value of display
from “inline” to “block”
Block-level elements
block-level elements will take up the entire width of whatever element they appear inside of, but we can override this by explicitly setting the width
or max-width
property on an element.
inline-block element
An inline-block element displays inline like a span or a element, but you can give it an explicit width, height, margin, and padding.
we’ve set their width to 25%, together, they take up 100% of the width of their parent (the <main> element).
display: inline-block;
The position property
The position
property is all about the flow of elements in an HTML document.
e.g: statics
and fixed
.foo {
width: 100px;
height: 100px;
position: fixed;
background-color: blue;
left: 0;
top: 0;
}
CSS gives us four offset properties: left
, right
, top
, bottom
. These properties can be used on elements whose position is set to fixed
, relative
, and absolute
, but not static.
In the first paragraph, “foo” and “bar” have no white space because the spans are right next to each other. In the second paragraph, however, there’s a space between “bizz” and “bang” because the browser interprets the line break between the two spans as a space.
Other tricks also look at codepen demo
Absolute
We just said that an absolute element’s offsets are in relation to the first parent element that has a non-static position.
In this example, we’ve set text-align
: right on the nav element, in order to get the links to align to the right. In order to get the kitten logo to align to the left, we set its position to absolute and then use a left offset so it doesn’t run directly against the left border of the nav.
Check out this post to solidify understanding of position
.
float
clear
to clear, it follows immediate after a float element.
check out this to solidify understanding.
The primary use case for floats is getting text to wrap around an image (or some other container).
float: left;
clear: right
The clear property specifies on which sides of an element floating elements are not allowed to float.
caution there are also many examples of floats being used to achieve layouts that would be better achieved by using display: inline-block;. Our advice for you at this point in your learning is to use floats only when you need to wrap text around an element.
Extra notes
Browser-Specific Properties & Values The Universal Selector
quiz
- Describing the different parts of a CSS ruleset (the selector, the declaration block, declarations, properties, values)
selector-give you precise control over the elements targeted by a declaration block.n addition to element, class, and id selectors, there are also pseudo-classes and pseudo-elements
declaration block-The declaration block follows the selector. A declaration block is a set of declarations contained in curly brackets ({, }). Within the block, each line is a separate declaration.
declarations/property/value-A declaration consists of a property and the value it is to be set to.Each property has a range of valid values
- Explaining what is meant when people say CSS is about presentation (vs. structure or behavior)
CSS (Cascading Style Sheets) is the language used to control the presentation layer. Whereas HTML is about structure and content (aka, the “content layer”), CSS is about style and appearance
- Explaining the box model The total space taken up by an element is determined by its width, height, padding, border, and margin
To calculate the measurements for an element, we add width, plus 2x padding, plus 2x border, plus 2x margin.
.foo {
width: 200px;
height: 100px;
padding: 10px;
border: 1px solid green;
margin: 30px;
}
the above is 222px
-
Inspecting and manipulating CSS using DevTools
-
Learning new CSS properties
-
Solving basic CSS problems like setting background colors, font colors, width, height, etc.
-
Using a wide variety of CSS selectors to target HTML elements
-
Explaining and implementing horizontal centering for inline and block-level elements
-
Explaining and using the display: block vs. display: inline-block vs. display: inline
-
Explaining the so-called “white-space” problem and how to solve it
-
Explaining and using position: static vs. position: relative vs. position: fixed vs. position: absolute
-
Explaining and using the float property to get text to wrap around images or other content
-
Coding up a wide range of layouts from designs.
-
Explaining and implementing horizontal centering for inline and block-level elements
-
Explaining and using the display: block vs. display: inline-block vs. display: inline
-
Explaining the so-called “white-space” problem and how to solve it
-
Explaining and using position: static vs. position: relative vs. position: fixed vs. position: absolute
-
Explaining and using the float property to get text to wrap around images or other content
-
Coding up a wide range of layouts from designs.
Code Collection
Hover, first letter capitalized
box-sizing
extra box-sizing knowledge
white text on tinted image background
entire image background with height
of 100vh
.
pseudo class keywords documentation
image upside down with attribute selector
fixed position extensive testing demo
keys to remember
Download or Links(not read yet)
CSS Meyer reset link Normalize.css Google webfont Modernizr Learnlayout em as unit in css A Complete Guide to Flexbox Learn to Code HTML & CSS Centering things in CSS penguin css an interesting tutorial about a waving penguin from freecodecamp
Questions to ask memtor
-
normalize.css and CSS reset
-
Be sure to talk with your mentor about how they use DevTools in their day-to-day work.
-
How to use Modernizr with CSS?
-
position question(see comment in the code)
-
What is SVG editor used for?


Magister Gideon:
For all my travels and experiences, there is still one thing I cannot understand. Why does even the mention of Dark Magic send Humans into such an uproar?
They have no trouble killing each other with sword and spear, so scruples about plotting and scheming...
There must be more to this, perhaps some sort of conspiracy to learn its secrets and keep them from the other races. I wouldn't be surprised if the Ivory Tower even has a secret facility for studying the Dark Arts...
Learn skills.
Ask about Skill Transfer.
Ask about Skill Enchanting.
Quest


This is the website for PHIL 428 at USC. Announcements, readings, and other relevant information will be posted here. If you are enrolled in this class, you should be checking this website regularly.


On Wednesday 29 June the county council’s Scrutiny Committee discussed a report on Suffolk Libraries. This report reviewed how well Suffolk Libraries has delivered the library service for the county council, with a focus on our performance and achievements so far and how use of libraries has changed. It also considered what opportunities there may be for Suffolk Libraries to help the county council further in the future.
Suffolk Libraries was represented at the meeting by our Chairman Tony Brown, our Chief Executive Alison Wheeler and Peter Robinson from the Thurston Library Friends group.
Alison Wheeler, Chief Executive of Suffolk Libraries said:
As we approach our fourth anniversary, we are pleased that the Scrutiny report recognises the significant achievement of Suffolk Libraries since the service was transferred in 2012.
We feel we have consistently delivered to the county council’s specification and increased the range and diversity of library services, whilst still delivering significant savings. I think we have created something very special and impressive here in Suffolk.
We have extraordinary community involvement, we have staff, who believe in what we do, and we have customers who value our firm grip on what they had before, and support our bold moves to innovate for the future.
Initial figures for the past year show our performance compares well to that of most other library services. Our key achievements have already been well reported:
- We have saved over 30% from the original council library budget in 2009/10
- We have kept all library buildings open and even managed to increase and improve opening hours in several cases, with the support of our community groups
- Customers value what we do and have given us very positive feedback
- Staff are proud to work for us
- We continue to deliver an even wider and increasing range of activities and services than ever before. We support people in many ways and Suffolk’s library experience offers people of all ages access to information and reading materials, as well as significant educational, social, cultural and wellbeing opportunities.
- The library service is more engaged with local people than before with library community groups playing an ever increasing role in supporting their libraries and ensuring they deliver what their community needs.
Suffolk Libraries has an important role to play in the future of the county, particularly in key areas such as literacy, economy and health and wellbeing. We will continue to develop and strengthen the reading and literacy experience available from libraries. We are also especially aware of how important it is for people in rural areas to have access to a library service.


--- layout: post title: Keepin' It Real date: 2012-04-24 02:17:42.000000000 -04:00 categories: - Craft - Family Life - Keepin' It Real tags: - Easy Craft - Keepin' it real - Mt Washing - Quick craft projects - Real life - Washing status: publish type: post published: true meta: aktt_notify_twitter: 'no' _edit_last: '1' dsq_thread_id: '1188603121' author: login: cint email<EMAIL_ADDRESS>display_name: Jacinta first_name: Jacinta last_name: '' ---
- Keepin’ It Real captures the true essence of family life that I know are fleeting, keeping this mama grounded -
If there was an olympic event for procrastinators, I think I would be in contention for a gold medal. The winning event, avoiding folding the washing pile, or in my case, Mt Washing. It is my constant companion, haunting my every move while I try to avoid it's desire to blow it's top at any given moment. It is of course a great place to play if you are 3 and provides excellent camouflage while hiding from rogue toys. So while I avoided making direct eye contact with Mt Washing on this dreary, cold and rainy day, I distracted myself with some craft, applique on a top of course for Jairah, that I can add to the washing pile at any given time. I need more washing to keep Mt Washing alive and well you see. I mean, who would I be without Mt Washing, organised? Ha!
Jacinta x


[name]
A 4x4 Matrix.
Example
// Simple rig for rotating around 3 axes
var m = new THREE.Matrix4();
var m1 = new THREE.Matrix4();
var m2 = new THREE.Matrix4();
var m3 = new THREE.Matrix4();
var alpha = 0;
var beta = Math.PI;
var gamma = Math.PI/2;
m1.setRotationX( alpha );
m2.setRotationY( beta );
m3.setRotationZ( gamma );
m.multiply( m1, m2 );
m.multiplySelf( m3 );
Constructor
[name]( [page:Float n11], [page:Float n12], [page:Float n13], [page:Float n14], [page:Float n21], [page:Float n22], [page:Float n23], [page:Float n24], [page:Float n31], [page:Float n32], [page:Float n33], [page:Float n34], [page:Float n41], [page:Float n42], [page:Float n43], [page:Float n44] )
Properties
.[page:Float n11]
.[page:Float n12]
.[page:Float n13]
.[page:Float n14]
.[page:Float n21]
.[page:Float n22]
.[page:Float n23]
.[page:Float n24]
.[page:Float n31]
.[page:Float n32]
.[page:Float n33]
.[page:Float n34]
.[page:Float n41]
.[page:Float n42]
.[page:Float n43]
.[page:Float n44]
Methods
.set( [page:Float n11], [page:Float n12], [page:Float n13], [page:Float n14], [page:Float n21], [page:Float n22], [page:Float n23], [page:Float n24], [page:Float n31], [page:Float n32], [page:Float n33], [page:Float n34], [page:Float n41], [page:Float n42], [page:Float n43], [page:Float n44] ) [page:Matrix4]
Sets all fields of this matrix.
.identity() [page:Matrix4]
Resets this matrix to identity.
.copy( [page:Matrix4 m] ) [page:Matrix4]
Copies a matrix m into this matrix.
.lookAt( [page:Vector3 eye], [page:Vector3 center], [page:Vector3 up], ) [page:Matrix4]
Constructs a rotation matrix, looking from eye towards center with defined up vector.
.multiply( [page:Matrix4 a], [page:Matrix4 b] ) [page:Matrix4]
Sets this matrix to a * b.
.multiplySelf( [page:Matrix4 m] ) [page:Matrix4]
Multiplies this matrix by m.
.multiplyToArray( [page:Matrix4 a], [page:Matrix4 b], [page:Array r] ) [page:Matrix4]
Sets this matrix to a * b and sets result into flat array r.
Destination array can be regular Array or TypedArray.
Source
src/[path].js


{{Unreferenced|date=November 2006}} {{Infobox prepared food | name = Yaki udon | image = | caption = | alternate_name = | country = Japan | region = Fukuoka Prefecture | creator = | course = | type = Japanese noodles | served = | main_ingredient = Noodles | variations = | calories = | other = }}
{{nihongo|Yakiudon|焼きうどん||"fried udon"}} are thick, smooth, white Japanese noodles eaten with a special sauce, meat and vegetables. It is simple to make and a popular dish in Japan. It originated in Kokura, Fukuoka Prefecture after the Pacific War.
{{commons category|Yaki udon}}
{{DEFAULTSORT:Yaki Udon}}
{{Japan-cuisine-stub}}


class RequestStack
Request stack that controls the lifecycle of requests.
public
|
|
push(Request $request)
|
Pushes a Request on the stack. | |
public
|
Request|null |
pop()
|
Pops the current request from the stack. | |
public
|
Request|null |
getCurrentRequest()
|
No description | |
public
|
Request|null |
getMasterRequest()
|
Gets the master Request. | |
public
|
Request|null |
getParentRequest()
|
Returns the parent request of the current. |
Pushes a Request on the stack.
This method should generally not be called directly as the stack management should be taken care of by the application itself.
Request |
$request |
Pops the current request from the stack.
This operation lets the current request go out of scope.
This method should generally not be called directly as the stack management should be taken care of by the application itself.
Request|null |
Request|null |
Gets the master Request.
Be warned that making your code aware of the master request might make it un-compatible with other features of your framework like ESI support.
Request|null |
Returns the parent request of the current.
Be warned that making your code aware of the parent request might make it un-compatible with other features of your framework like ESI support.
If current Request is the master request, it returns null.
Request|null |
<?php
/*
* This file is part of the Symfony package.
*
* (c) Fabien Potencier<EMAIL_ADDRESS>*
* For the full copyright and license information, please view the LICENSE
* file that was distributed with this source code.
*/
namespace App\Khan\Component\HttpFoundation;
/**
* Request stack that controls the lifecycle of requests.
*
* @author Benjamin Eberlei<EMAIL_ADDRESS>*/
class RequestStack
{
/**
* @var Request[]
*/
private $requests = array();
/**
* Pushes a Request on the stack.
*
* This method should generally not be called directly as the stack
* management should be taken care of by the application itself.
*/
public function push(Request $request)
{
$this->requests[] = $request;
}
/**
* Pops the current request from the stack.
*
* This operation lets the current request go out of scope.
*
* This method should generally not be called directly as the stack
* management should be taken care of by the application itself.
*
* @return Request|null
*/
public function pop()
{
if (!$this->requests) {
return;
}
return array_pop($this->requests);
}
/**
* @return Request|null
*/
public function getCurrentRequest()
{
return end($this->requests) ?: null;
}
/**
* Gets the master Request.
*
* Be warned that making your code aware of the master request
* might make it un-compatible with other features of your framework
* like ESI support.
*
* @return Request|null
*/
public function getMasterRequest()
{
if (!$this->requests) {
return;
}
return $this->requests[0];
}
/**
* Returns the parent request of the current.
*
* Be warned that making your code aware of the parent request
* might make it un-compatible with other features of your framework
* like ESI support.
*
* If current Request is the master request, it returns null.
*
* @return Request|null
*/
public function getParentRequest()
{
$pos = count($this->requests) - 2;
if (!isset($this->requests[$pos])) {
return;
}
return $this->requests[$pos];
}
}


Carreying the Show Dr. Seuss' How the Grinch Stole Christmas
By Ross Anthony
It's the same old story the Doc published back in 1957, but with some tweaking. The Grinch's grinchiness back-story is told and wha'da'ya'know there's a love interest involved. Also, little Cindy Lou isn't simply the sweet faithful who of yester-century; this who's got some Christmas suspicions of her own, "Presents? Isn't that superfluous?" Later she sings, "Did Christmas change or was it just me?" The maturing child perspective makes a nice addition to the collection of Holiday tales.
Bumpy, but fun second and third acts follow a very rough first act. Translating a fictional cartoon into fictional cartoony live-action is a daunting unforgiving task that this first act does not make look effortless. Whoville will take some time to get used to and the silly bustling of whos spills over with silly gags unable to carve a smile on the average adult. But, Jim Carrey's resilient spirit, rubber bones, and love of charades, carries the production like an over-packed sack of toys up the steep slippery slope. Though, two sizes too small, it's his heart that saves the show.
A couple of the more notably riotous elements include the Grinch trying with all his might to scare the unscareable, ultimately adorable Cindy Lou and the Grinch's cave from crawling socks to self-defeating answering machine. Speaking of machines, kudos to the set and prop designers. Kids will love the wacky mechanization.
Speaking of speaking, I swear Carrey's cheers scare up a share of the vocal wares of one Sean Connery imitating Mr. Magoo. Whoever, it works. Interestingly, the press notes are careful to point out that Carrey "with no accompaniment or anything to alter his voice" sang the signature song "You're A Mean One Mr. Grinch" from the 1966 animated classic. I must say, Carrey's absolutely splendid vocal work on that musical piece pulls together one of the film's strongest moments.
Incidentally, Theodor S. Geisel (Dr. Seuss), content with the 1966 version, turned down any following offers to bring "The Grinch" into live-action.  Copyright © 2000. Rated PG. Starring Jim Carrey, Taylor Momsen, Kelly, Jeffrey Tambor, Christine Baranski. Narrated by Anthony Hopkins. Directed by Ron Howard. Screenplay by Jeffrey Price & Peter S. Seaman based on the book by Dr. Seuss. Produced by Brian Grazer, Ron Howard at Universal/Imagine.
Grade..........................B+
-- Copyright © 2000. Ross Anthony, currently based in Los Angeles, has scripted and shot documentaries, music videos, and shorts in 35 countries across North America, Europe, Africa and Asia. For more reviews visit: http://RossAnthony.com
The review above was posted to the
rec.arts.movies.reviews newsgroup (de.rec.film.kritiken for German reviews).
The Internet Movie Database accepts no responsibility for the contents of the
review and has no editorial control. Unless stated otherwise, the copyright
belongs to the author.
Please direct comments/criticisms of the review to relevant newsgroups.
Broken URLs inthe reviews are the responsibility of the author.
The formatting of the review is likely to differ from the original due
to ASCII to HTML conversion.
Related links: index of all rec.arts.movies.reviews reviews


With our application you can easily start your stock trading career.
With our application you can easily start your stock trading career.


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Transaction logs for flights and airlines
Airlines
Currently registered airlines:
| Airline | Address | State | Votes |
|---|
Flights
Selected flight key: None
Passengers
Current passenger: 0
isRegistered: false
Purchased insurance:
For flight:
Payout available:
Current flight: (refresh with button) at TIME is code CODE


|
Nabu-asr
|
some operations More...
Functions | |
| def | nabu.neuralnetworks.ops.aconv1d (inputs, filt, dilation_rate, scope=None) |
| a 1 dimensional causal (diluted) convolution More... | |
| def | nabu.neuralnetworks.ops.causal_aconv1d (inputs, filt, dilation_rate, scope=None) |
| a 1 dimensional causal atrous (diluted) convolution More... | |
| def | nabu.neuralnetworks.ops.mu_law_encode (inputs, num_levels, scope=None) |
| do mu-law encoding More... | |
| def | nabu.neuralnetworks.ops.pyramid_stack (inputs, sequence_lengths, scope=None) |
| concatenate each two consecutive elements More... | |
| def | nabu.neuralnetworks.ops.seq2nonseq (sequential, seq_length, name=None) |
| Convert sequential data to non sequential data. More... | |
| def | nabu.neuralnetworks.ops.nonseq2seq (tensor, seq_length, length, name=None) |
| Convert non sequential data to sequential data. More... | |
some operations
| def nabu.neuralnetworks.ops.aconv1d | ( | inputs, | |
| filt, | |||
| dilation_rate, | |||
scope = None |
|||
| ) |
a 1 dimensional causal (diluted) convolution
| inputs | a [batch_size, max_seq_length, dim] input tensorflow |
| filt | the filter of shape [kernel_size, dim_in, dim_out] |
| dilation | the rate of dilation (integer) |
| scope | the name of the operations |
| def nabu.neuralnetworks.ops.causal_aconv1d | ( | inputs, | |
| filt, | |||
| dilation_rate, | |||
scope = None |
|||
| ) |
a 1 dimensional causal atrous (diluted) convolution
| inputs | a [batch_size, max_seq_length, dim] input tensorflow |
| filt | the filter of shape [kernel_size, dim_in, dim_out] |
| dilation | the rate of dilation (integer) |
| scope | the name of the operations |
| def nabu.neuralnetworks.ops.mu_law_encode | ( | inputs, | |
| num_levels, | |||
scope = None |
|||
| ) |
do mu-law encoding
| inputs | the inputs to quantize |
| num_levels | number of quantization lavels |
| def nabu.neuralnetworks.ops.nonseq2seq | ( | tensor, | |
| seq_length, | |||
| length, | |||
name = None |
|||
| ) |
Convert non sequential data to sequential data.
| tensor | non sequential data, which is a TxF tensor where T is the sum of all sequence lengths |
| seq_length | a vector containing the sequence lengths |
| length | the constant length of the output sequences |
| name | [optional] the name of the operation |
| def nabu.neuralnetworks.ops.pyramid_stack | ( | inputs, | |
| sequence_lengths, | |||
scope = None |
|||
| ) |
concatenate each two consecutive elements
| inputs | A time minor tensor [batch_size, time, input_size] |
| sequence_lengths | the length of the input sequences |
| scope | the current scope |
| def nabu.neuralnetworks.ops.seq2nonseq | ( | sequential, | |
| seq_length, | |||
name = None |
|||
| ) |
Convert sequential data to non sequential data.
| sequential | the sequential data which is a [batch_size, max_length, dim] |
| tensor | |
| seq_length | a vector containing the sequence lengths |
| name | [optional] the name of the operation |


[ package ] [ object ] [ method ] [ explanation ]
The following document contains the results of a JavaNCSS metric analysis, using JavaNCSS version 33.54.
JavaNCSS web site.
[ package ] [ object ] [ method ] [ explanation ]
Packages sorted by NCSS.
| Package | Classes | Methods | NCSS | Javadocs | Javadoc lines | Single lines comment | Multi lines comment |
|---|---|---|---|---|---|---|---|
| org.davidmoten.hilbert | 4 | 20 | 196 | 12 | 140 | 29 | 0 |
| org.davidmoten.hilbert.exceptions | 1 | 1 | 6 | 0 | 0 | 0 | 0 |
| Classes total | Methods total | NCSS total | Javadocs | Javadoc lines | Single lines comment | Multi lines comment |
|---|---|---|---|---|---|---|
| 5 | 21 | 202 | 12 | 140 | 29 | 0 |
[ package ] [ object ] [ method ] [ explanation ]
TOP 30 classes containing the most NCSS.
| Object | NCSS | Methods | Classes | Javadocs |
|---|---|---|---|---|
| org.davidmoten.hilbert.HilbertCurve | 93 | 10 | 1 | 9 |
| org.davidmoten.hilbert.SmallHilbertCurve | 41 | 5 | 1 | 3 |
| org.davidmoten.hilbert.HilbertCurveRenderer | 30 | 3 | 0 | 0 |
| org.davidmoten.hilbert.Util | 14 | 2 | 0 | 0 |
| org.davidmoten.hilbert.exceptions.IORuntimeException | 4 | 1 | 0 | 0 |
TOP 30 classes containing the most methods.
| Object | NCSS | Methods | Classes | Javadocs |
|---|---|---|---|---|
| org.davidmoten.hilbert.HilbertCurve | 93 | 10 | 1 | 9 |
| org.davidmoten.hilbert.SmallHilbertCurve | 41 | 5 | 1 | 3 |
| org.davidmoten.hilbert.HilbertCurveRenderer | 30 | 3 | 0 | 0 |
| org.davidmoten.hilbert.Util | 14 | 2 | 0 | 0 |
| org.davidmoten.hilbert.exceptions.IORuntimeException | 4 | 1 | 0 | 0 |
Averages.
| NCSS average | Program NCSS | Classes average | Methods average | Javadocs average |
|---|---|---|---|---|
| 36.40 | 202.00 | 0.40 | 4.20 | 2.40 |
[ package ] [ object ] [ method ] [ explanation ]
TOP 30 Methods containing the most NCSS.
Averages.
| Program NCSS | NCSS average | CCN average | Javadocs average |
|---|---|---|---|
| 202.00 | 6.38 | 2.04 | 0.35 |
[ package ] [ object ] [ method ] [ explanation ]
Non Commenting Source Statements (NCSS)
Statements for JavaNCSS are not statements as specified in the Java Language Specification but include all kinds of declarations too. Roughly spoken, NCSS is approximately equivalent to counting ';' and '{' characters in Java source files.
Not counted are empty statements, empty blocks or semicolons after closing brackets. Of course, comments don't get counted too. Closing brackets also never get counted, the same applies to blocks in general.
| Examples | |
|---|---|
| Package declaration | package java.lang; |
| Import declaration | import java.awt.*; |
| Class declaration |
|
| Interface declaration | public interface Able ; { |
| Field declaration |
|
| Method declaration |
|
| Constructor declaration | public Foo() { |
| Constructor invocation |
|
| Statement declaration |
|
| Label declaration | fine : |
In some cases consecutive semicolons are illegal according to the JLS but JavaNCSS still tolerates them (thought JavaNCSS is still more strict as 'javac'). Nevertheless they are never counted as two statements.
Cyclomatic Complexity Number (CCN)
CCN is also know as McCabe Metric. There exists a much hyped theory behind it based on graph theory, but it all comes down to simply counting 'if', 'for', 'while' statements etc. in a method. Whenever the control flow of a method splits, the "CCN counter" gets incremented by one.
Each method has a minimum value of 1 per default. For each of the following Java keywords/statements this value gets incremented by one:
Also if the control flow of a method returns abortively the CCNvalue will be incremented by one:
An ordinary return at the end of method will not be counted.
Note that 'else', 'default', and 'finally' don't increment the CCN value any further. On the other hand, a simple method with a 'switch' statement and a huge block of 'case' statements can have a surprisingly high CCN value (still it has the same value when converting a 'switch' block to an equivalent sequence of 'if' statements).


Help / Feedback
Clear completed tasks
Click Clear completed to remove all completed tasks.
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About
Super Simple Tasks is built by Benjamin Humphrey with help from John Jiang and Lucy Bain. It’s a part time open source project and will be free forever.
The source code for Super Simple Tasks is available on GitHub.
Licensed under the Apache License, Version 2.0
© Copyright Benjamin Humphrey


NPC Map Navigation
In the latest Simulator Release, NPC vehicles follow the annotated HD map. No extra steps are required.
The following tutorial works with Simulator Release 2019.05
Non-player character (NPC) vehicles now use the MapSegmentBuilder classes to navigate annotated maps.
Map Manager
Use SanFrancisco.scene as a template to build map data for NPCs.
- Remove SFTraffic_New.prefab from scene and any associated scripts, e.g., TrafPerformanceManager.cs, TrafInfoManager.cs and TrafSystem.cs.
- Create a new GameObject at position Vector3.zero and Quaternion.identity, named Map.
- Add MapManager.cs component to this object and save as a prefab in project assets.
- The public field, SpawnLanesHolder, of MapManager.cs requires the MapLaneSegmentBuilder holder transform.
- The public field, IntersectionsHolder, of MapManager.cs requires the TrafficLights holder transform. This has intersection meshes and scripts for lights.
- The public fields Green, Yellow, and Red are materials for the segmentation camera system. If using the Traffic meshes from SanFrancisco.scene, these need to be added here. If not, IntersectionComponent.cs and associated scripts will need to be edited.
Map Lane and Intersection Grouping
- Create TrafficLanes holder object as a child of Map.prefab.
- Place all MapLaneSegmentBuilder objects into TrafficLanes holder object for all non intersection lanes.
- Create IntersectionLanes holder object as a child of Map.prefab.
- Create a new Intersection holder object as a child of IntersectionLanes transform for each intersection annotation. Be sure its world position is in the center of each intersection.
- Place MapLaneSegmentBuilder and MapStopLineSegmentBuilder objects into Intersection holder object for each intersection.
Map Intersection Builder
- For each Intersection holder, add the MapIntersectionBuilder.cs component.
Traffic Lights
- Create a TrafficLights holder object to hold all traffic light meshes or place all traffic meshes under the map annotation Intersections. Just be sure to have the root holder be in MapManager.cs IntersectionHolder public reference.
- Create a Intersection holder object. Be sure its world position is in the center of each intersection.
- Add IntersectionComponent.cs to each Intersection holder object.
- Place TrafficLightPole facing it's corresponding StopLineSegmentBuilder object. The transfom needs to be Z axis or gizmo arrow forward, parallel to the StopLineSegmentBuilder object Z axis or gizmo arrow forward.
- Add IntersectionTrafficLightSetComponent.cs.
- Place as a child of the Intersection holder object.
- For opposite facing TrafficLightPoles and StopLineSegmentBuilders, be sure to orient transforms in Z axis or gizmo arrow forward but perpendicular to other facing light poles and stoplines.
- Add TrafficLight meshes as children of the TrafficLightPole.
- Add IntersectionTrafficLightSetComponent.cs to each TrafficLight.
StopLine and MapLaneSegmentBuilder overlap
MapLaneSegmentBuilders final waypoint needs to be slightly overlapping the MapStopLineBuilder


Speech
Children’s Minister Edward Timpson addresses an event hosted by the Council for Disabled Children (CDC) and In Control.
Thanks, Christine [Lenehan, Chair and Director, CDC ]. It’s great to be with you today.
And firstly, a huge thanks to you and the Council for Disabled Children and In Control for hosting this important event. The first in a series of 5 that are all over-subscribed - an indication that they are much-needed.
And to NHS England too, for their continued support in bringing these events together and for their work with clinical commissioning groups and my department to help deliver these substantive reforms to special educational needs.
I hope you’ve found it to be a productive day so far and are feeling more confident about what these changes - the biggest for 30 years - mean for the health service.
Now I know that you’ve been through some significant changes of your own in the NHS . I don’t underestimate the challenge this brings. But as your attendance today testifies, I know that you also share our ambition to do much better by some our most vulnerable children - children for whom support has, sadly, too often fallen short.
When I first took on the SEN brief 18 months ago, I kept hearing the same refrain from families; about how they faced an endless and excruciating fight with a system that’s supposed to help them. About how they found themselves falling through gaps in services that failed to work together. And how they had to repeat their stories over and over again to different agencies.
I’m afraid to say that too many singled out health as especially hard to engage and get around the table. This is particularly worrying given the significant number of children needing health support under the current system, but perhaps in some ways it’s not entirely surprising.
I think we would all acknowledge that the existing set-up hasn’t made it easy for you to do your best for these children and join up with education and social care in their interests - something that we know has caused frustration on all sides and that we know is absolutely key in securing better outcomes and a better transition to adulthood.
Which is precisely why we’re overhauling the SEN system, through the Children and Families Bill and the new 0 to 25 code of practice , to provide you with the framework and freedom to support much better integration, both for children with SEN as well as disabilities.
And through the Care Bill, currently going through Parliament, extending the provision of services beyond 18 where this makes sense, rather than using the blunt instrument of a birthday to determine need.
As you’ll already have heard from Christine, Andrew, Amanda and Martin, these changes promise to be truly transformative; requiring much closer co-operation between services and a bigger say for young people and their parents - whether through the local offer, setting out the support that’s available in an area, or through new education, health and care ( EHC ) plans.
But perhaps the most vital change in all of this is the new duty on health to provide the health aspect of these new plans and to work with local authorities to jointly assess and meet children’s needs.
This represents a real breakthrough; rebooting the relationship between health and social care firmly and decisively in favour of families. Dissolving the barriers in language, culture and approach that divide team from team, department from department, agency from agency. Spurring professionals to no longer just zero in on their piece of the jigsaw, but to see the whole picture from the perspective of the child and their needs.
A truly integrated approach that we’re championing in a number of ways - such as the enhanced role for mediation; making the disputes process less adversarial and, with a single point of redress for health, education and social care, making it much easier for families to navigate.
Now, I know that, with health having different structures for complaints procedures, there was concern about whether families would have to go down separate routes to challenge provision. So I’m pleased that we’ve been able to make improvements and provide greater reassurance in just this area.
We’ve also listened to worries about schools failing to support children with disabilities or medical conditions, with reports of parents being forced to come into schools to administer medication and pupils even being excluded.
That’s why we’ve introduced a new duty to make it easier to hold schools to account on managing medicines. This will be underpinned by statutory guidance - that’s currently out for consultation - based on existing good practice. So parents can have more confidence that their child’s needs, both health and educational, will be met in schools.
But, in many ways, the real acid test will be joint commissioning; with the scope it offers, for instance, to create integrated care pathways with health services. If we can get this right, we’ll not only get a better match between need and the support provided, but also generate better results as well as save costs.
All of which should make your job easier and also more satisfying - and I think it’s important to stress that this is central to our ambitions for a better SEN system. Professionals who are freed and supported to do the very best for their patients.
Now, believe it or not, I don’t want to load you with unnecessary changes on top of the ones you’ve already gone through. Or demands that conflict with your broader work in the health service.
On the contrary. This drive for more collaboration on behalf of children with special educational needs and disabilities ( SEND ) is very much in line with the NHS constitution and reforms to the wider NHS , which advocate greater integration wherever possible.
And as you know, there’s an objective in the NHS mandate regarding children with SEND - that NHS England will be monitoring clinical commissioning groups against.
So there’s a real opportunity here, on the back of acknowledged difficulties in the past and changes to the NHS , to do things differently and better for some of our most disadvantaged children - with health playing a pivotal role as equal partners alongside social care and education.
It’s an agenda that involves us all. Quite simply, we can’t do it without you.
As has been said, the Children and Families Bill has completed its passage through Parliament and the legislation will shortly receive royal assent. But this is very much the beginning, not the end of the work that needs to be done.
We all know that the real hard work, the effort that ultimately pays off, doesn’t happen in Parliament, but in classrooms, GP surgeries, nurseries and clinics, not to mention family homes. A change in law must go hand in hand with a change in culture if it’s to have the impact we all want to see.
And I’m encouraged that we’re starting to see this important shift.
As the bill’s progressed and the 20 pathfinders testing the SEN reforms across 31 local authorities have made inroads, there have been growing signs of a change in the approach, understanding and involvement of health providers.
And as you’ve just heard, families and professionals are starting to feel the benefits.
The pathfinder in Southampton, for example, has developed an integrated health and social care service that has cut right back on duplication of assessments through joint visits and by co-ordinating information provided in previous assessments.
Hertfordshire, another pathfinder, has brought parents and health and education professionals together to better understand the family’s journey through the system and how this can be improved when developing new education, health and care plans.
And there’s the app, developed by Early Support, our SEND delivery partner, which helps families receive, record and share information with all manner of health and education professionals and, in doing so, offers the prospect of useful discussion without endless repetition.
I’ve seen also for myself, on visits to pathfinders in Surrey and Bromley, what a difference this level of engagement can make. How much more involved and empowered young people and their parents feel in drawing up their own package of support through the education, health and care plans.
And also what a rewarding experience it is for the professionals involved. As one consultant paediatrician put it:
I’ve found the new process really positive. The live documents we’ve generated with the parents capture a much better description of the child. Their personality really shines through.
Not something, I think, many health professionals would necessarily have said before.
Personal budgets are also having a similar effect; shifting the focus from the mechanics of provision to the potential of each young person, resulting in better conversations between families and professionals.
And giving children and their parents more choice and control over the support they receive - support such as the dedicated one-to-one health worker who was employed to help a 3-year-old girl with complex health needs that were stopping her attending nursery.
In her case, at the pathfinder in Oldham, education, health and social care joined forces to provide the funding needed to ensure that the child didn’t miss out on her education - which is surely what integration is all about.
As one parent, who is using a personal budget, put it:
It was really lovely to feel…heard on an equal footing…Now I feel part of a team…Now it feels as though there is someone on my side.
All fantastic examples of what can be achieved when services really come together - and examples that I hope will inspire you as you gear up for the new system which, as you know, kicks in this September.
And looking forward, we all want to ensure as smooth a transition as possible for vulnerable families and for them to be able to take full advantage of the new arrangements. So now is very much the time to step up your preparations.
So I’m pleased to see that, in many places, these preparations are already underway, but we know there’s still a lot to do.
Pathfinders tell us that it takes a least a year to get ready, not least for the cultural change to take hold. So it’s essential that everyone involved; the NHS , education, local authorities and others services, intensifies their efforts.
And there’s no need to wait. Wolverhampton and Richmond aren’t pathfinders, but they’ve already begun involving families in developing education, health and care plans and a draft local offer.
Doing more now saves time and energy later and can even lead to savings, so there’s every incentive to act with urgency and make the reforms a success.
And we want to do everything we can to help you with this.
Which is why we’re providing local authorities with a £70 million SEN reform grant that they can use, with no ring-fencing, to work with health and others to deliver these changes.
It’s why we’ve made £30 million available to recruit and train - with the help of the Council for Disabled Children - over 1,800 independent supporters to help families navigate the new system.
And it’s why I’m working closely with Dan Poulter, my ministerial colleague at Health, to provide advice on implementation to clinical commissioning groups, health and wellbeing boards as well as to chief executives and lead members in all local authorities.
We’re also extending the pathfinder champion programme until March 2015, so that local areas can readily draw on lessons from those who have trodden the path, including in the vital area of health.
But, in many ways, the best guide to how services should be flexed and fused comes from children and young people themselves; brought to home me most powerfully in my regular meetings with EPIC , a group of disabled young people assembled, again, with the help of the CDC . They’ve provided me with valuable advice on the SEN and disability reforms - and held my feet to the fire on a few occasions too! I’m thinking, in particular, of a highly articulate and astute young man called Cory, whose wisdom and practical insight I’ve benefited from hugely.
They remind me, time and time again, that no-one else has a keener understanding of what will make their lives better. And that services could save themselves a lot of time, money and effort if they just took the trouble to sit down and listen to them.
After all, they’re the reason that we’re all here today - because we want children and young people with special educational needs and disabilities to be able to aspire and achieve as other children do.
Because we want them to do well at school, form strong relationships and find success and fulfilment in work and further study as independent adults. Nothing more, nothing less than we want for our own children.
And all of you in the health service are absolutely critical to making this happen.
So I very much hope that you will continue to work with us and work ever more closely with your colleagues in education and social care to make a difference to the prospects of some of our neediest children.
Now I know that this may seem a lot to ask given all the changes that you’ve already been through - and I can’t thank you enough for the hard work and dedication you’ve put in so far.
But with the new duties on health, which reinforce wider changes in the health service, there has never been a better opportunity for you to play a full and active role in transforming SEND provision - backed by the significant support that we’re providing.
The fact we can see that this more ambitious approach is already working wonders in the pathfinder areas and beyond gives us real cause for optimism. Like you, I want families everywhere to be able to enjoy this kind of outstanding support.
Support that fits in with their needs and not the other way around. That sees children’s potential and not their limits. Support that’s truly on their side.
Thank you.
Published: 25 February 2014


WeatherNow
TM
14
°
Today is a rainy day
Don't forget an Umbrella
06:12 AM
Monday, 31 August 2021
San Fransisco, USA


{% extends "base.html" %} {% block title %}The Blue Alliance - Event Wizard{% endblock %} {% block meta_description %}Interface to update matches using The Blue Alliance's write API.{% endblock %} {% block content %}
A tool to input FRC event data. Visit this page for more info if you're running an offseason event and would like to import your data to TBA, or contact us.
For help using this tool, please refer to the User Guide.
Add a list of teams attending an event. This will overwrite all existing team data for the event. Input one team number per line.
Add a list of teams attending an event via FMS Report. This will overwrite all existing team data for the event.
Allows you to import matches via FMS report. Note that this will overwrite all data that currently exists for these matches. If you are running a Playoff Tournament and need to import only a certain level of matches (e.g. only import Semifinals so Quarterfinals don't get overwritten), select the level below prior to selecting a file.
| Time | Description | Match | Blue 1 | Blue 2 | Blue 3 | Red 1 | Red 2 | Red 3 |
|---|
Lets you upload a FMS Match Results report. Note that this will overwite data that currently exists for these matches.
Upload event rankings from FMS report. This will overwrite current rankings for that event.
Input team numbers for event Alliance Selections. This will overwite existing alliances.
| Alliance | Captain | Pick 1 | Pick 2 | Pick 3 |
|---|


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| PREV CLASS NEXT CLASS | FRAMES NO FRAMES | |||||||||
| SUMMARY: NESTED | FIELD | CONSTR | METHOD | DETAIL: FIELD | CONSTR | METHOD |
public interface HashingPasswordService
A HashingPasswordService
is a PasswordService
that performs password encryption and comparisons
based on cryptographic Hash
es.
| Method Summary | |
|---|---|
Hash |
hashPassword(Object plaintext)
Hashes the specified plaintext password using internal hashing configuration settings pertinent to password hashing. |
boolean |
passwordsMatch(Object plaintext,
Hash savedPasswordHash)
Returns true if the submittedPlaintext password matches the existing savedPasswordHash ,
false otherwise. |
| Methods inherited from interface org.apache.shiro.authc.credential.PasswordService |
|---|
encryptPassword, passwordsMatch |
| Method Detail |
|---|
Hash hashPassword(Object plaintext) throws IllegalArgumentException
Hash
object in a custom manner. Most applications will find the
encryptPassword
method suitable enough for safety
and ease-of-use.
Object
- almost always either a
String or character array representing passwords (character arrays are often a safer way to represent passwords
as they can be cleared/nulled-out after use. Any argument type supported by
ByteSource.Util#isCompatible(Object)
is valid.
Regardless of your choice of using Strings or character arrays to represent submitted passwords, you can wrap
either as a ByteSource
by using ByteSource.Util
, for example, when the passwords are captured as
Strings:
ByteSource passwordBytes = ByteSource.Util.bytes(submittedPasswordString); Hash hashedPassword = hashingPasswordService.hashPassword(passwordBytes);or, identically, when captured as a character array:
ByteSource passwordBytes = ByteSource.Util.bytes(submittedPasswordCharacterArray); Hash hashedPassword = hashingPasswordService.hashPassword(passwordBytes);
plaintext
- the raw password as 'byte-backed' object (String, character array, ByteSource
,
etc) usually acquired from your application's 'new user' or 'password reset' workflow.
IllegalArgumentException
- if the argument cannot be easily converted to bytes as defined by
ByteSource.Util#isCompatible(Object)
.ByteSource.Util#isCompatible(Object)
,
PasswordService.encryptPassword(Object)
boolean passwordsMatch(Object plaintext, Hash savedPasswordHash)
true
if the submittedPlaintext
password matches the existing savedPasswordHash
,
false
otherwise. Note that this method is only likely to be used in more complex environments that
save hashes in a custom manner. Most applications will find the
passwordsMatch(plaintext,string)
method
sufficient if encrypting passwords as Strings
.
submittedPlaintext
argument type can be any 'byte backed' Object
- almost always either a
String or character array representing passwords (character arrays are often a safer way to represent passwords
as they can be cleared/nulled-out after use. Any argument type supported by
ByteSource.Util#isCompatible(Object)
is valid.
plaintext
- a raw/plaintext password submitted by an end user/Subject.savedPasswordHash
- the previously hashed password known to be associated with an account.
This value is expected to have been previously generated from the
hashPassword
method (typically
when the account is created or the account's password is reset).
true
if the plaintext
password matches the existing savedPasswordHash
,
false
otherwise.
|
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| PREV CLASS NEXT CLASS | FRAMES NO FRAMES | |||||||||
| SUMMARY: NESTED | FIELD | CONSTR | METHOD | DETAIL: FIELD | CONSTR | METHOD |


Date 08/28/2016 Location 1 Six Flags Blvd, Jackson, NJ 08527 Time 9:00 AM - 5:00 PM Friends RSVP By 08/26/2016


Abstract
Introduction. Vigilance is the challenging ability to maintain attention during long periods. When performing prolonged tasks, vigilance failures are often observed, reflecting a decrease in performance. Previous research has shown that changes in oscillatory rhythms are associated with states of vigilance loss. The present study aimed to investigate whether changes in different oscillatory rhythms anticipate failures in two vigilance components: (a) executive vigilance –necessary to detect infrequent critical signals– and (b) arousal vigilance –necessary to maintain a fast reaction to environmental stimuli without much control–. Methods. 37 young adults (age: M = 25.86; SD = 4.99) completed two experimental sessions in which high-density electroencephalography signal was recorded while they performed the Attentional Networks Test for Interactions and Vigilance – executive and arousal components, a task that simultaneously measures executive and arousal vigilance along with others attentional functions. Changes in delta, theta, alpha, beta, and gamma power before target onset were analyzed at the trial level in the executive and the arousal vigilance subtasks and as a function of the behavioral response. Results. Changes in different oscillatory rhythms were observed prior to failures in executive and arousal vigilance. While increased alpha power in left occipital regions anticipated misses in the executive vigilance subtask, increased delta power in frontal-central regions anticipated very slow responses in the arousal vigilance subtask. Discussion. The present results further support an empirical dissociation at the neural level between executive and arousal vigilance. Changes in alpha –in left occipital regions– and delta –in frontal-central regions– power might be identified as different brain states associated with loss in vigilance components when performing prolonged tasks.


Up to 400 jobs at risk as TSB set to close 82 branches
Up to 400 jobs could be at risk as more than 80 TSB branches across the country are set to close their doors next year, the bank announced in another blow to the UK high street.
by James PughTSB, which has branches across the region, said that it was cutting back its locations to refocus on profits, and will replace workers' tasks with automated processes.
As part of the plan, 82 branches will be shut next year.
Staff will be told if their bank is affected in the coming days, and a full list of sites slated for closure will be published on Thursday.
About 300 to 400 members of staff are understood to be employed in these branches.
TSB said it will try to find new roles for them elsewhere in the group.
They are understood to be the bank's less busy branches.
It is part of a plan to save around £100 million by 2022, and turn a profit of between £130 million and £140 million.
"The plan we're sharing today involves some difficult decisions, but it sets TSB up to succeed in the future," said TSB boss Debbie Crosbie, as she set out the three-year plan.
"Taken together, these changes will help us to serve more customers, better, for the long-term."
It also includes a push to invest another £120 million in digital products.
The bank said it expects 70 per cent to 80 per cent of its sales to come from digital channels by 2022, up from 46 per cent in September this year.
It comes in a tough retail environment for British banks, with high streets suffering while online-only challengers are tempting customers with new types of accounts.
TSB said it had around twice the number of stores per 10,000 customers in 2018 as the average in the UK.
"With a trusted brand, modern platform, and national presence, TSB is well placed to deliver – but we need to make changes to enable us to compete," Ms Crosbie said.
"Our new strategy positions TSB to succeed in a challenging external environment at a time when we know customers want something different and better from their bank."


| Name: SMT. NEELIMA | Reg No: 1-2SMMHC18 |
|---|---|
| Age / Sex:37/F | Contact No:9731730210 |
| Marital Status:ML- 13 YEARS. | Date:5/2/18 |
| Occupation:HOUSEWIFE. BSC STAT | Dr. PJFP |
Address: NATIVE OF ATP. BLORE 13 YEARS |
DIAGNOSIS- |
IRREGULAR PERIODS SINCE 2 YEARS. TOOK ALLO RX FOR 6 MONTHS AND THEN AGAIN NORMAL FOR 6 MONTHS BUT AGAIN STARTED.
LMP: DEC 5TH 2017.
PERIOD STARTS FOR 50 DAYS. INC IN WEIGHT FROM 47 – 60 KGS.

BOY – 13 YEARS. FTND.
ABORTION – 2004
ABORTION- 2007
ABORTION – 2009
ALL ABORTION DONE BY HERSELF AS SHE DIDN’T WANT BABY.
CHIKUN GUNYA – 6-7 YEARS YEARS BACK
JAUNDICE – 12 YEARS OF AGE
ONCE MENSES POSTPONEMENT TABLETS BEFORE MARRIAGE AND IN 2012
DURING PREGNANCY ALSO TOOK ONLY HOMOEOPATHY TABLETS AS ALLOPATHY DIDN’T SUIT HER.
HAD VOMITINGS DURING PREGNANCY.
THIS PROBLEM STARTED IMMEDIATLEY AFTER THE LAST ABORTION AND GOT TUBECTOMY DONE. SINCE THEN HAD THIS PROBLEM OF IRREGULAR PERIODS.
DREAMS OF DAY ACTIVITIES.
RX:
SEPIA 30- 5 DOSES – 3 DAYS ONCE.
RUB 30 – 1-0-1 B/FOOD
PENTAPHOS 2-2-2-2
19/2/18:5 days after medi got cold and blocked feeling nose and throat. Unable to breath thru mouth or nose. Feels like drinking water. Lmp: 9/2/18. Only 2 days spotted bleeding. Mouth dry . throat feel snice water.
Rx:
Sepia 200 – 4-4-4-4 1 dram
Euphrasia 200 – 4-4-4-4
Rub 30 – 1-0-1 b/food.
Bryonia 200 – 4-4-4-4.
10/3/18: lmp: 9/2/18. From 3-4 days getting white discharge. Feeling lighter than before. No breathlessness. Able to do work also fast. Standing , walking feels dragging down sensation of uterus during periods. 3rd day the bleeding stops and becomes normal.
1st day pain and 1 pad
2nd day 2-3 pads pain severe
3rd day spotting very minimal just wears a pad fr the sake of wearing.
Rx:
rub 30 doses – 1 dose night b/food.
pl disc. 3-0-3
2 dram sl pills – 4 pills mng b/food.
Mag phos 12x--- 3 tabs 2 hourly in hot water.
9/2/19: December 25th went to proddututr fr a marriage frm then had cold. Ice water drank there. Block nose. Both in the night. Running nose during the day. Took allo also but no relief. Lmp: 6.01.19.
Rx:
Nux vom 1m- 4-4-4-4.
PULS 200 – disc 4-4-4-4.
Kali sulph – 4-4-4-4.
1 week med.
25/4/19: lmp: feb 9th. Feb 23rd. took allo rx for some cough. 3 days bleeding. Dryness toungue. When lying down pain on the right buttock. < sitting on the floor also gets pain occasionally on knee also. .if sits completely will not get pain. fom this period irregularity full face sweating even in AC.
Rx:
Sec cor/lachesis 200/colocynth200 – 4-4-4 b/food.- 2nd week
Nux vom 1m/sulphur1m – 4-4-4-4 1 week.- 2nd week.
Rub 15 -
1/6/19: lmp: 20/5/19. Flow was normal. Doing exercise everyday, yoga also. Food control. Still weight gain. 59.4kg. irregular periods. Pain in the rt hypochondrium while bending forwards.
Rx:
Fel tauri 200 – disc 4-0-4 b/food.
Conium 200 – 4 pills b/food morning
Thuja 200 – 4 pills b/food night.
Rub 15 .
Chelidonium 200 – afternoon 4 pills b/food.
15/6/19: now feels app reduced. Unable to eat spicy food. Burning in the throat and retrosternal. Lmp: 13/6/19. Flow normal. Sticky and thick. Dark maroon. Feels breathless if bending more. Taking fast breaths then. Now feels left side pain. sweating in ac reduced.
Rx:
Lyco 200 – 4-4-4 b/food.
Carbo veg 30 – disc 4-0-4
P
pl


DIME is the World Bank's impact evaluation department. Part of DIME’s mission is to intensify the production of and access to public goods that improve the quantity and quality of global development research, while lowering the costs of doing IE for the entire research community. This Library is mastered and maintained by DIME Analytics. DIME Analytics supports quality research processes across the DIME portfolio, offers public trainings, and masters tools for the global community of development researchers.


Bite Size Bayes¶
Copyright 2020 Allen B. Downey
License: Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)
import numpy as np
import pandas as pd
import matplotlib.pyplot as plt
Review¶
The previous notebook I introduced cross tabulation, joint distributions, conditional disrtribution, and marginal distributions.
In this notebook, we’ll apply these ideas to Bayesian inference.
But first I want to introduce a computational tool we will need, outer operations.
Outer operations¶
Suppose you have two sequences, like t1
and t2
:
t1 = [1,3,5]
t2 = [2,4]
Many useful operations can be expressed in the form of an “outer operation” of these sequences.
The most common outer operation is the outer product, which computes the product of every pair of values, one from each sequence.
For example, here is the outer product of t1
and t2
:
a = np.multiply.outer(t1, t2)
a
array([[ 2, 4],
[ 6, 12],
[10, 20]])
We can understand this result more easily if we put it in a DataFrame:
pd.DataFrame(a, index=t1, columns=t2)
| 2 | 4 | |
|---|---|---|
| 1 | 2 | 4 |
| 3 | 6 | 12 |
| 5 | 10 | 20 |
The values from t1
appear along the rows of the result; the values from t2
appear along the columns.
Each element of the result is the product of an element from t1
and an element from t2
.
The outer sum is similar, except that each element is the sum of an element from t1
and an element from t2
.
a = np.add.outer(t1, t2)
a
array([[3, 5],
[5, 7],
[7, 9]])
pd.DataFrame(a, index=t1, columns=t2)
| 2 | 4 | |
|---|---|---|
| 1 | 3 | 5 |
| 3 | 5 | 7 |
| 5 | 7 | 9 |
We can do the same thing with almost any operation. For example, the “outer greater than” operation compares each element from t1
to each element of t2
; the result is an array of Boolean values.
a = np.greater.outer(t1, t2)
a
array([[False, False],
[ True, False],
[ True, True]])
pd.DataFrame(a, index=t1, columns=t2)
| 2 | 4 | |
|---|---|---|
| 1 | False | False |
| 3 | True | False |
| 5 | True | True |
These outer operations work with Python lists and tuples, and NumPy arrays, but not Pandas Series.
However, the following function works with Pandas Series, and puts the result into a DataFrame.
def outer_product(s1, s2):
"""Compute the outer product of two Series.
First Series goes down the rows;
second goes across the columns.
s1: Series
s2: Series
return: DataFrame
"""
a = np.multiply.outer(s1.to_numpy(), s2.to_numpy())
return pd.DataFrame(a, index=s1.index, columns=s2.index)
It might not be obvious yet why these operations are useful, but we’ll see some examples soon.
With that, we are ready to take on a new Bayesian problem.
How tall is A?¶
Suppose I choose two people from the population of adult males in the U.S.; I’ll call them A and B. If we see that A taller than B, how tall is A?
To answer this question:
I’ll use background information about the height of men in the U.S. to form a prior distribution of height,
I’ll construct a joint distribution of height for A and B, and update it with the information that A is taller, and
I’ll extract from the posterior joint distribution the posterior distribution of height for A.
In the U.S. the average height of male adults in 178 cm and the standard deviation is 7.7 cm. The distribution is not exactly normal, because nothing in the real world is, but the normal distribution is a pretty good model of the actual distribution, so we can use it as a prior distribution for A and B.
Here’s an array of equally-spaced values from roughly 3 standard deviations below the mean to 3 standard deviations above.
mean = 178
std = 7.7
xs = np.arange(mean-24, mean+24, 0.5)
SciPy provides a function called norm
that represents a normal distribution with a given mean and standard deviation, and provides pdf
, which evaluates the probability distribution function (PDF), which we will use as the prior probabilities.
from scipy.stats import norm
ps = norm(mean, std).pdf(xs)
I’ll store the xs
and ps
in a Series that represents the prior PMF.
prior = pd.Series(ps, index=xs)
And normalize it:
prior /= prior.sum()
And here’s what it looks like.
prior.plot()
plt.xlabel('Height in cm')
plt.ylabel('Probability')
plt.title('Distribution of height for men in U.S.');
We can think of this prior distribution as the marginal distribution for A and B, but what we want is the joint probability of their heights.
Joint distribution¶
As we saw in the previous notebook, it is not generally possible to construct a joint distribution if we only have the marginals, because the marginals don’t contain information about correlations between the variables.
However, in the special case where there are no correlations, or they are small enough to ignore, it is possible to construct the joint distribution.
To see how, let’s consider one element of the joint distribution,
\(P(A_y~\mathrm{and}~B_x)\)
which is the probability that A
is \(y\) cm tall and B
is \(x\) cm tall. We can rewrite this conjuction in terms of conditional probability:
\(P(A_y)~P(B_x~|~A_y)\)
We can compute \(P(A_y)\) from the marginal distribution, but how should we compute the conditional probability, \(P(B_x~|~A_y)\)?
In this case, the heights of A
and B
are “independent”, which means that knowing the height of A
provides no additional information about the height of B
.
And that means that the conditional probability, \(P(B_x~|~A_y)\), is just the marginal probability \(P(B_y)\).
Which means that in this case, the joint probability is just the product of the marginal probabilities.
\(P(A_y~\mathrm{and}~B_x) = P(A_y)~P(B_x)\)
Now, to compute the joint distribution, we have to compute this product for all values of \(x\) and \(y\). And we can do that by computing the outer product of the marginal distributions, like this:
joint = outer_product(prior, prior)
joint.shape
(96, 96)
If the prior is normalized, the joint prior should also be normalized.
joint.to_numpy().sum()
1.0
The following function uses pcolormesh
to plot the joint distribution.
Recall that outer_product
puts the values of A
along the rows and the values of B
across the columns.
def plot_joint(joint):
"""Plot a joint distribution.
joint: DataFrame representing a joint PMF
"""
plt.pcolormesh(joint.index, joint.index, joint)
plt.ylabel('A height in cm')
plt.xlabel('B height in cm')
And here’s what the result looks like.
plot_joint(joint)
plt.colorbar()
plt.title('Joint prior distribution of height for A and B');
As you might expect, the probability is highest near the mean and drops off away from the mean.
Another way to visualize the joint distribution is a contour plot.
def plot_contour(joint):
"""Plot a joint distribution.
joint: DataFrame representing a joint PMF
"""
plt.contour(joint.index, joint.index, joint)
plt.ylabel('A height in cm')
plt.xlabel('B height in cm')
plot_contour(joint)
plt.title('Joint prior distribution of height for A and B');
Each circle represents a level of equal probability.
Likelihood¶
Now that we have a joint PMF that represents the prior distribution, we can update it with the data, which is that A
is taller than B
.
Each element in the joint distribution represents a hypothesis about the heights of A
and B
; for example:
The element
(180, 170)
represents the hypothesis thatA
is 180 cm tall andB
is 170 cm tall. Under this hypothesis, the probability thatA
is taller thanB
is 1.The element
(170, 180)
represents the hypothesis thatA
is 170 cm tall andB
is 180 cm tall. Under this hypothesis, the probability thatA
is taller thanB
is 0.
To compute the likelihood of every pair of values, we can extract the values from the prior, like this:
Y = prior.index.to_numpy()
X = prior.index.to_numpy()
And then apply the outer
version of np.greater
, which compares every element of Y
(height of A
) to every element of X
(height of B
).
a = np.greater.outer(Y, X)
The result is an array, which we can put in a DataFrame with the corresponding index
and columns
.
likelihood = pd.DataFrame(a, index=Y, columns=X)
Here’s what it looks like:
plot_joint(likelihood)
plt.title('Likelihood of A>B');
The likelihood of the data is 1 where Y>X
and 0 otherwise.
The update¶
We have a prior, we have a likelihood, and we are ready for the update. As usual, the unnormalized posterior is the product of the prior and the likelihood.
unnorm_posterior = joint * likelihood
And we can get the normalized posterior by dividing through by the total.
total = unnorm_posterior.to_numpy().sum()
joint_posterior = unnorm_posterior / total
total
0.49080747821526977
The total probability of the data is a little less than \(1/2\).
Here’s what the normalized posterior looks like.
plot_joint(joint_posterior)
plt.colorbar()
plt.title('Joint posterior distribution of height for A and B');
It looks like a sunrise as seen from the deck of a heeling sailboat.
The marginals¶
From the posterior joint distribution we can extract the posterior marginal distribution of A
and B
.
def marginal(joint, axis):
"""Compute a marginal distribution.
axis=0 returns the marginal distribution of the second variable
axis=1 returns the marginal distribution of the first variable
joint: DataFrame representing a joint PMF
axis: int axis to sum along
returns: Series representing a marginal PMF
"""
return joint.sum(axis=axis)
marginal_A = marginal(joint_posterior, axis=1)
marginal_B = marginal(joint_posterior, axis=0)
Here’s what they look like.
prior.plot(label='Prior')
marginal_A.plot(label='Posterior for A')
marginal_B.plot(label='Posterior for B')
plt.xlabel('Height in cm')
plt.ylabel('Probability')
plt.title('Prior and posterior distributions for A and B')
plt.legend();
As you might expect, the posterior distribution for A
is shifted to the right and the posterior distribution for B
is shifted to the left.
We can summarize the results by computing the posterior means:
def pmf_mean(pmf):
"""Compute the mean of a PMF.
pmf: Series representing a PMF
return: float
"""
return np.sum(pmf.index * pmf)
pmf_mean(prior)
177.99516026921506
pmf_mean(marginal_A), pmf_mean(marginal_B)
(182.38728123421686,<PHONE_NUMBER>0233387)
Based on the observation that A
is taller than B
, we are inclined to believe that A
is a little taller than average, and B
is a little shorter.
Notice that the posterior distribution are a little taller and narrower than the prior. We can quantify that my computing their standard deviations.
def pmf_std(pmf):
"""Compute the standard deviation of a PMF.
pmf: Series representing a PMF
return: float
"""
deviation = pmf.index - pmf_mean(pmf)
var = np.sum(deviation**2 * pmf)
return np.sqrt(var)
pmf_std(prior), pmf_std(marginal_A)
(7.624924796641578, 6.27046117764547)
The standard deviation of the posterior distributions are a little smaller, which means we are a little more certain about the heights of A
and B
after we compare them.
Conditional posteriors¶
Now suppose we measure B
and find that he is 185 cm tall. What does that tell us about A
?
We can answer that question by extracting the conditional posterior distribution for A
, conditioned on B=185
.
Possible heights for A
run down the rows of the joint PMF, so each row is an unnormalized posterior distribution conditioned on A
.
And possible heights for B
run across the columns, so each column is an unnormalized posterior distribution conditioned on B
.
So we can condition on B
by selecting a column and normalizing it.
cond_A = joint_posterior[185].copy()
cond_A /= cond_A.sum()
prior.plot(label='Prior')
marginal_A.plot(label='Posterior for A')
cond_A.plot(label='Posterior for A given B=185', color='C4')
plt.xlabel('Height in cm')
plt.ylabel('Probability')
plt.title('Prior, posterior and conditional distribution for A')
plt.legend();
The posterior conditional distribution is cut off at 185 cm, because we have established that A
is taller than B
and B
is 185 cm.
And the posterior conditional is substantially different from the unconditional posterior; that is, for each value of \(y\)
\(P(A_y | B_x) \ne P(A_y)\)
which means that in the posterior distribution, A
and B
are not independent.
Elo rating¶
The Elo rating system is a way to quantify the skill level of players for games like chess.
It is based on a model of the relationship between the ratings of players and the outcome of a game. Specifically, if \(R_A\) is the rating of player \(A\) and \(R_B\) is the rating of player \(B\), the probability that \(A\) beats \(B\) is given by the logistic function:
\(P(A~\mathrm{wins}) = 1 / (1 + 10^{(R_B-R_A)/400})\)
The parameters \(10\) and \(400\) are arbitrary choices that determine the range of the ratings. In chess, values range from 100 to 2800.
Notice that the probability of winning depends only on the difference in rankings. As an example, if \(R_A\) exceeds \(R_B\) by 100 points, the probability that \(A\) wins is
1 / (1 + 10**(-100/400))
0.6400649998028851
Exercise: Suppose A
has a current rating of 1600, but we are not sure it is accurate. We could describe their true rating with a normal distribution with mean 1600 and standard deviation 100, to indicate our uncertainty.
And suppose B
has a current rating of 1800, with the same level of uncertaintly.
Finally, A
and B
play and A
wins. How should we update their ratings?
To answer this question:
Construct prior distributions for
A
andB
.Use them to construct a joint distribution, assuming that the prior distributions are independent.
Use the logistic function above to compute the likelihood of the outcome under each joint hypothesis. Hint: use
np.subtract.outer
.Use the joint prior and likelihood to compute the joint posterior.
Extract and plot the marginal posteriors for
A
andB
.Compute the posterior means for
A
andB
. How much should their ratings change based on this outcome?
# Solution
xs = np.arange(1300, 2100, 10)
ps = norm(1600, 100).pdf(xs)
prior_A = pd.Series(ps, index=xs)
prior_A /= prior_A.sum()
ps = norm(1800, 100).pdf(xs)
prior_B = pd.Series(ps, index=xs)
prior_B /= prior_B.sum()
# Solution
prior_A.plot(label='Prior for A')
prior_B.plot(label='Prior for B')
plt.xlabel('Elo rating')
plt.ylabel('Probability')
plt.title('Prior distributions for A and B')
plt.legend();
# Solution
joint = outer_product(prior_A, prior_B)
joint.shape
(80, 80)
# Solution
plt.pcolormesh(joint.index, joint.index, joint)
plt.ylabel('A rating')
plt.xlabel('B rating');
# Solution
diff = np.subtract.outer(prior_A.index, prior_B.index)
# Solution
likelihood = 1 / (1 + 10**(-diff/400))
plt.pcolormesh(joint.index, joint.index, likelihood)
plt.ylabel('A rating')
plt.xlabel('B rating');
# Solution
joint_posterior = joint * likelihood
joint_posterior /= joint_posterior.to_numpy().sum()
# Solution
plt.pcolormesh(joint.index, joint.index, joint_posterior)
plt.ylabel('A rating')
plt.xlabel('B rating');
# Solution
marginal_A = marginal(joint_posterior, axis=1)
marginal_B = marginal(joint_posterior, axis=0)
# Solution
marginal_A.plot(label='Posterior for A')
marginal_B.plot(label='Posterior for B')
plt.xlabel('Elo rating')
plt.ylabel('Probability')
plt.title('Posterior distributions for A and B')
plt.legend();
# Solution
pmf_mean(marginal_A), pmf_mean(marginal_B)
(1637.7213735750752, 1762.2426343832121)
# Solution
pmf_std(prior_A), pmf_std(marginal_A)
(99.41698581100648, 96.86560602798998)
Summary¶
In this notebook I started with the “outer” operations, like outer product and outer sum; then we used them to construct a joint distribution.
In general, you cannot construct a joint distrubution from two marginal distributions, but in the special case where the distributions are independent, you can.
We extended the Bayesian update process we’ve seen in previous notebook and applied it to a joint distribution. Then from the posterior joint distribution we extracted posterior marginal distributions and posterior conditional distributions.
As an exercise, you had a chance to apply the same process to a slightly more difficult problem, updating Elo ratings based on the outcome of a chess game.
In the next notebook we’ll get back to a problem we left half-finished: the Euro problem.


Interface IHttpBehaviour
The IHttpBehaviour is used to control the behaviour of all operations in the HttpExtensions library.
Namespace:Dapplo.HttpExtensions
Assembly:Dapplo.HttpExtensions.dll
Syntax
public interface IHttpBehaviour
Properties
| Improve this Doc View SourceDefaultEncoding
The default encoding which is used wherever an encoding is specified. The default is set to Encoding.UTF8
Declaration
Encoding DefaultEncoding { get; }
Returns
| Type | Description |
|---|---|
| System.Text.Encoding |
HttpCompletionOption
This can be used to change the behaviour of Http operation, default is to read the complete response.
Declaration
HttpCompletionOption HttpCompletionOption { get; }
Returns
| Type | Description |
|---|---|
| System.Net.Http.HttpCompletionOption |
HttpContentConverters
This is the list of IHttpContentConverters which is used when converting from/to HttpContent
Declaration
IList<IHttpContentConverter> HttpContentConverters { get; }
Returns
| Type | Description |
|---|---|
| System.Collections.Generic.IList<IHttpContentConverter> |
HttpSettings
Pass your HttpSettings here, which will be used to create the HttpClient If not specified, the HttpSettings.GlobalSettings will be used
Declaration
IHttpSettings HttpSettings { get; }
Returns
| Type | Description |
|---|---|
| IHttpSettings |
JsonSerializer
This is used to de- serialize Json, can be overwritten by your own implementation. By default, also when empty, the SimpleJsonSerializer is used.
Declaration
IJsonSerializer JsonSerializer { get; }
Returns
| Type | Description |
|---|---|
| IJsonSerializer |
OnHttpClientCreated
An action which can modify the HttpClient which is generated in the HttpClientFactory. Use cases for this, might be adding a header or other settings for specific cases
Declaration
Action<HttpClient> OnHttpClientCreated { get; }
Returns
| Type | Description |
|---|---|
| System.Action<System.Net.Http.HttpClient> |
OnHttpContentCreated
An Func which can modify the HttpContent right before it's used to start the request. This can be used to add a specific header, e.g. set a filename etc, or return a completely different HttpContent type
Declaration
Func<HttpContent, HttpContent> OnHttpContentCreated { get; }
Returns
| Type | Description |
|---|---|
| System.Func<System.Net.Http.HttpContent, System.Net.Http.HttpContent> |
OnHttpMessageHandlerCreated
An Func which can modify or wrap the HttpMessageHandler which is generated in the HttpMessageHandlerFactory. Use cases for this, might be if you have very specify settings which can't be set via the IHttpSettings Or you want to add additional behaviour (extend DelegatingHandler!!) like the OAuthDelegatingHandler
Declaration
Func<HttpMessageHandler, HttpMessageHandler> OnHttpMessageHandlerCreated { get; }
Returns
| Type | Description |
|---|---|
| System.Func<System.Net.Http.HttpMessageHandler, System.Net.Http.HttpMessageHandler> |
OnHttpRequestMessageCreated
An Func which can modify the HttpRequestMessage right before it's used to start the request. This can be used to add a specific header, which should not be for all requests. As the called func has access to HttpRequestMessage with the content, uri and method this is quite usefull, it can return a completely different HttpRequestMessage
Declaration
Func<HttpRequestMessage, HttpRequestMessage> OnHttpRequestMessageCreated { get; }
Returns
| Type | Description |
|---|---|
| System.Func<System.Net.Http.HttpRequestMessage, System.Net.Http.HttpRequestMessage> |
ReadBufferSize
Specify the buffer for reading operations
Declaration
int ReadBufferSize { get; }
Returns
| Type | Description |
|---|---|
| System.Int32 |
ThrowOnError
If a request gets a response which has a HTTP status code which is an error, it would normally THROW an exception. Sometimes you would still want the response, settings this to false would allow this. This can be ignored for all HttpResponse returning methods.
Declaration
bool ThrowOnError { get; }
Returns
| Type | Description |
|---|---|
| System.Boolean |
UploadProgress
IProgress for uploading, only used when using non-string content like Bitmaps or MemoryStreams. Also the UseProgressStreamContent needs to be true for detailed upload progress
Declaration
IProgress<float> UploadProgress { get; }
Returns
| Type | Description |
|---|---|
| System.IProgress<System.Single> |
UseProgressStreamContent
Whenever a post is made to upload memorystream or bitmaps, this value is used to decide: true: ProgressStreamContent is used, instead of StreamContent
Declaration
bool UseProgressStreamContent { get; }
Returns
| Type | Description |
|---|---|
| System.Boolean |
ValidateResponseContentType
Check if the response has the expected content-type, when servers are used that are not following specifications this should be set to false
Declaration
bool ValidateResponseContentType { get; }
Returns
| Type | Description |
|---|---|
| System.Boolean |
Methods
| Improve this Doc View SourceClone()
Clone this HttpBehavior and return an interface which can be used to write
Declaration
IChangeableHttpBehaviour Clone()
Returns
| Type | Description |
|---|---|
| IChangeableHttpBehaviour | IChangeableHttpBehaviour |
MakeCurrent()
Set this IHttpBehaviour on the CallContext
Declaration
void MakeCurrent()


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<
Target
>
>
Type parameters
Target
:
EventTarget
Clipboard
Event
Handler
Clipboard
Event
Handler<Target>
:
EventHandler
<
TargetedClipboardEvent
<
Target
>
>
Type parameters
Target
:
EventTarget
Composition
Event
Handler
Composition
Event
Handler<Target>
:
EventHandler
<
TargetedCompositionEvent
<
Target
>
>
Type parameters
Target
:
EventTarget
Drag
Event
Handler
Drag
Event
Handler<Target>
:
EventHandler
<
TargetedDragEvent
<
Target
>
>
Type parameters
Target
:
EventTarget
Focus
Event
Handler
Focus
Event
Handler<Target>
:
EventHandler
<
TargetedFocusEvent
<
Target
>
>
Type parameters
Target
:
EventTarget
Generic
Event
Handler
Generic
Event
Handler<Target>
:
EventHandler
<
TargetedEvent
<
Target
>
>
Type parameters
Target
:
EventTarget
Keyboard
Event
Handler
Keyboard
Event
Handler<Target>
:
EventHandler
<
TargetedKeyboardEvent
<
Target
>
>
Type parameters
Target
:
EventTarget
Library
Managed
Attributes
Library
Managed
Attributes<Component, Props>
:
Component
extends
{
defaultProps
:
infer
Defaults
}
?
Defaultize
<
Props
,
Defaults
>
:
Props
Type parameters
Component
Props
Mouse
Event
Handler
Mouse
Event
Handler<Target>
:
EventHandler
<
TargetedMouseEvent
<
Target
>
>
Type parameters
Target
:
EventTarget
Pointer
Event
Handler
Pointer
Event
Handler<Target>
:
EventHandler
<
TargetedPointerEvent
<
Target
>
>
Type parameters
Target
:
EventTarget
Targeted
Animation
Event
Targeted
Animation
Event<Target>
:
TargetedEvent
<
Target
,
AnimationEvent
>
Type parameters
Target
:
EventTarget
Targeted
Clipboard
Event
Targeted
Clipboard
Event<Target>
:
TargetedEvent
<
Target
,
ClipboardEvent
>
Type parameters
Target
:
EventTarget
Targeted
Composition
Event
Targeted
Composition
Event<Target>
:
TargetedEvent
<
Target
,
CompositionEvent
>
Type parameters
Target
:
EventTarget
Targeted
Drag
Event
Targeted
Drag
Event<Target>
:
TargetedEvent
<
Target
,
DragEvent
>
Type parameters
Target
:
EventTarget
Targeted
Event
Targeted
Event<Target, TypedEvent>
:
Omit
<
TypedEvent
,
"currentTarget"
>
&
{
currentTarget
:
Target
}
Type parameters
Target
:
EventTarget
=
EventTarget
TypedEvent
:
Event
=
Event
Targeted
Focus
Event
Targeted
Focus
Event<Target>
:
TargetedEvent
<
Target
,
FocusEvent
>
Type parameters
Target
:
EventTarget
Targeted
Keyboard
Event
Targeted
Keyboard
Event<Target>
:
TargetedEvent
<
Target
,
KeyboardEvent
>
Type parameters
Target
:
EventTarget
Targeted
Mouse
Event
Targeted
Mouse
Event<Target>
:
TargetedEvent
<
Target
,
MouseEvent
>
Type parameters
Target
:
EventTarget
Targeted
Pointer
Event
Targeted
Pointer
Event<Target>
:
TargetedEvent
<
Target
,
PointerEvent
>
Type parameters
Target
:
EventTarget
Targeted
Touch
Event
Targeted
Touch
Event<Target>
:
TargetedEvent
<
Target
,
TouchEvent
>
Type parameters
Target
:
EventTarget
Targeted
Transition
Event
Targeted
Transition
Event<Target>
:
TargetedEvent
<
Target
,
TransitionEvent
>
Type parameters
Target
:
EventTarget
TargetedUIEvent
TargetedUIEvent<Target>
:
TargetedEvent
<
Target
,
UIEvent
>
Type parameters
Target
:
EventTarget
Targeted
Wheel
Event
Targeted
Wheel
Event<Target>
:
TargetedEvent
<
Target
,
WheelEvent
>
Type parameters
Target
:
EventTarget
Touch
Event
Handler
Touch
Event
Handler<Target>
:
EventHandler
<
TargetedTouchEvent
<
Target
>
>
Type parameters
Target
:
EventTarget
Transition
Event
Handler
Transition
Event
Handler<Target>
:
EventHandler
<
TargetedTransitionEvent
<
Target
>
>
Type parameters
Target
:
EventTarget
UIEvent
Handler
UIEvent
Handler<Target>
:
EventHandler
<
TargetedUIEvent
<
Target
>
>
Type parameters
Target
:
EventTarget
Wheel
Event
Handler
Wheel
Event
Handler<Target>
:
EventHandler
<
TargetedWheelEvent
<
Target
>
>
Type parameters
Target
:
EventTarget
Modules
node_
modules/@fullcalendar/common/main
create
Element
JSX
DOMAttributes
Element
Element
Attributes
Property
Element
Children
Attribute
Element
Class
Event
Handler
HTMLAttributes
HTMLMarquee
Element
Intrinsic
Attributes
Intrinsic
Elements
Path
Attributes
SVGAttributes
Animation
Event
Handler
Clipboard
Event
Handler
Composition
Event
Handler
Drag
Event
Handler
Focus
Event
Handler
Generic
Event
Handler
Keyboard
Event
Handler
Library
Managed
Attributes
Mouse
Event
Handler
Pointer
Event
Handler
Targeted
Animation
Event
Targeted
Clipboard
Event
Targeted
Composition
Event
Targeted
Drag
Event
Targeted
Event
Targeted
Focus
Event
Targeted
Keyboard
Event
Targeted
Mouse
Event
Targeted
Pointer
Event
Targeted
Touch
Event
Targeted
Transition
Event
TargetedUIEvent
Targeted
Wheel
Event
Touch
Event
Handler
Transition
Event
Handler
UIEvent
Handler
Wheel
Event
Handler
Generated using
TypeDoc


Before Change
w[:n_positives // 2] = 0
stratified_splitter = dc.splits.RandomStratifiedSplitter()
column_indices = stratified_splitter.get_task_split_indices(
y, w, frac_split=.5)
split_index = column_indices[0]
// There are 10 nonzero actives.
// The split index should partition this into half, so expect 5
w_present = (w != 0)
y_present = y * w_present
After Change
n_tasks = 1
// Test case where some weights are zero (i.e. masked)
X = np.ones(n_samples)
y = np.zeros((n_samples, n_tasks))
y[:n_positives] = 1
w = np.ones((n_samples, n_tasks))
// Set half the positives to have zero weight
w[:n_positives // 2] = 0
dataset = dc.data.NumpyDataset(X, y, w)
stratified_splitter = dc.splits.RandomStratifiedSplitter()
train, valid, test = stratified_splitter.split(dataset, 0.5, 0, 0.5)
// There are 10 nonzero actives.
// The split index should partition this into half, so expect 5
w_present = (w != 0)


Zinger - Build Vocabulary
Feb 5, 2015 00:00 · 346 words · 2 minute read
Almost all of us face the problem of forgetting new words which we learn. Moreover, it is difficult to compile a list of all new words to later reference. Even if we maintain such list, we almost never open it because of lack of time or motivation. To solve this problem, We have developed a chrome extension - Zinger which helps you to learn new words with minimum efforts. For learning new words you don’t have to devote explicit time, you can learn them while you are browsing the web.
##Features
The extension keeps a track of all the words which you have looked up on the web. It shows these words periodically in form of flashcards when you are surfing the internet so that you are able to retain these words. The flashcard won’t hinder your browsing experience as they are draggable. An example of a flashcard which is displayed:
To aid you in learning a new word, the extension will also show the context in which you saw a particular word on a website. You can click the “hint” button to see the context of a word.
You can flip the card to view meaning of the word.
Zinger helps you to learn words at your pace. Its word display algorithm won’t irritate you by showing repeated words neither it will intimidate you by throwing a new word every time.
Zinger knows what to show
To view meaning of a particular word you can simply double click on the word.
If you don’t want Zinger to remind you this word later, you can uncheck the “Show later” box.
If you are unable to select a word by double clicking (maybe it is a link) you can highlight the word using mouse and then click on the Zinger icon next to address bar to view its meaning. You can also lookup a word by entering it manually in this window.
The frequency of flashcards can be adjusted by the slider in above window.
Download
The extension is free and available on Chrome store. Download Now


Toggle navigation
Brand
Link
(current)
Link
Dropdown
Action
Another action
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Separated link
One more separated link
Submit
Link
Dropdown
Action
Another action
Something else here
Separated link
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The graph below shows data before a detected Pump and Dump error, as well as a dumping state.
This state is represented as a sudden drop in price, as a result of frantic selling.
Expect this dumping state to be graphed towards the right-hand side of the plot area.


Dserunt mollit anim id est laborum. Sed ut perspiciatis unde omniste magna natus error voluptatem dolor mque laudantium, totam rem aperiam, eaque ipsa quae duiad ab illo inventore.
Lorem Ipsum is simply dummy text of the printing and typesetting industry. Lorem Ipsum has been the industry's standard dummy text ever since the 1500s, when an unknown printer took a galley of type and scrambled it to make a type specimen book. It has survived not only five centuries, but also the leap into electronic typesetting, remaining essentially unchanged. It was popularised in the 1960s with the release of Letraset sheets containing Lorem Ipsum passages, and more recently with desktop publishing software like Aldus PageMaker including versions of Lorem Ipsum.
Contrary to popular belief, Lorem Ipsum is not simply random text.  Richard McClintock, a Latin professor at Hampden-Sydney College in Virginia, looked up one of the more obscure Latin words, consectetur,
There are many variations of passages of Lorem Ipsum available, but the majority have suffered alteration in some form, by injected humour
Lorem ipsum dolor sit amet, consectetur adipiscing elit, sed do eiusmod tempor incididunt ut labore et dolore magna et sed 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.
Dserunt mollit anim id est laborum. Sed ut perspiciatis unde omniste magna natus error voluptatem dolor mque laudantium, totam rem aperiam, eaque ipsa quae duiad ab illo inventore.
Dserunt mollit anim id est laborum. Sed ut perspiciatis unde omniste magna natus error voluptatem dolor mque laudantium, totam rem aperiam, eaque ipsa quae duiad ab illo inventore.
Akshay Kumar
Dserunt mollit anim id est laborum. Sed ut perspiciatis unde omniste magna natus error voluptatem dolor mque laudantium, totam rem aperiam, eaque ipsa quae duiad ab illo inventore.