Module: ActiveSupport::Testing::Assertions
| Relationships & Source Files | |
| Extension / Inclusion / Inheritance Descendants | |
|
Included In:
| |
| Defined in: | activesupport/lib/active_support/testing/assertions.rb |
Instance Method Summary
-
#assert_difference(expression, difference = 1, message = nil, &block)
Test numeric difference between the return value of an expression as a result of what is evaluated in the yielded block.
-
#assert_no_difference(expression, message = nil, &block)
Assertion that the numeric result of evaluating an expression is not changed before and after invoking the passed in block.
-
#assert_not(object, message = nil)
Assert that an expression is not truthy.
Instance Method Details
#assert_difference(expression, difference = 1, message = nil, &block)
Test numeric difference between the return value of an expression as a result of what is evaluated in the yielded block.
assert_difference 'Article.count' do
post :create, article: {...}
end
An arbitrary expression is passed in and evaluated.
assert_difference 'assigns(:article).comments(:reload).size' do
post :create, comment: {...}
end
An arbitrary positive or negative difference can be specified. The default is 1
.
assert_difference 'Article.count', -1 do
post :delete, id: ...
end
An array of expressions can also be passed in and evaluated.
assert_difference [ 'Article.count', 'Post.count' ], 2 do
post :create, article: {...}
end
A lambda or a list of lambdas can be passed in and evaluated:
assert_difference ->{ Article.count }, 2 do
post :create, article: {...}
end
assert_difference [->{ Article.count }, ->{ Post.count }], 2 do
post :create, article: {...}
end
An error message can be specified.
assert_difference 'Article.count', -1, 'An Article should be destroyed' do
post :delete, id: ...
end
# File 'activesupport/lib/active_support/testing/assertions.rb', line 63
def assert_difference(expression, difference = 1, = nil, &block) expressions = Array(expression) exps = expressions.map { |e| e.respond_to?(:call) ? e : lambda { eval(e, block.binding) } } before = exps.map { |e| e.call } yield expressions.zip(exps).each_with_index do |(code, e), i| error = "#{code.inspect} didn't change by #{difference}" error = "#{}.\n#{error}" if assert_equal(before[i] + difference, e.call, error) end end
#assert_no_difference(expression, message = nil, &block)
Assertion that the numeric result of evaluating an expression is not changed before and after invoking the passed in block.
assert_no_difference 'Article.count' do
post :create, article: invalid_attributes
end
An error message can be specified.
assert_no_difference 'Article.count', 'An Article should not be created' do
post :create, article: invalid_attributes
end
# File 'activesupport/lib/active_support/testing/assertions.rb', line 92
def assert_no_difference(expression, = nil, &block) assert_difference expression, 0, , &block end
#assert_not(object, message = nil)
Assert that an expression is not truthy. Passes if object
is nil
or false
. “Truthy” means “considered true in a conditional” like if foo
.
assert_not nil # => true
assert_not false # => true
assert_not 'foo' # => Expected "foo" to be nil or false
An error message can be specified.
assert_not foo, 'foo should be false'
# File 'activesupport/lib/active_support/testing/assertions.rb', line 17
def assert_not(object, = nil) ||= "Expected #{mu_pp(object)} to be nil or false" assert !object, end


{% extends 'accounts/base.html' %} {% load crispy_forms_tags %} {% block title %} Reset Done {% endblock %} {% block content %}
We’ve emailed you instructions for setting your password, You should receive the email shortly.


Supreme Court denies Martin Shkreli appeal of fraud conviction
by Harper NeidigThe Supreme Court on Monday declined to take up embattled financier Martin Shkreli's appeal of his securities fraud conviction, effectively upholding his seven-year prison sentence.
Shkreli was convicted in a federal jury trial in 2017 for lying to investors about the success of two hedge funds he was running. A three-judge panel on the 2nd Circuit Court of Appeals upheld the conviction, as well as a $7.4 million forfeiture as part of the sentence.
Shkreli's attorneys had argued that the jury instructions in the trial were confusing to jurors.
The combative "pharma bro" has been in prison since 2018 but has not shied away from controversy. Earlier this year, he sued the pharmaceutical company he founded for fraud over its efforts to remove him from its leadership.
In April, he was transferred to a different prison after he was alleged to be running a pharmaceutical company from his cell with a contraband cellphone.


The girl is heartbroken. She tries to talk to you the next day, and you rebuff her. The girl feels scorned by your actions and spreads the rumor of your mother's witchcraft.
You hear a knock at the door. Do you..
Option 1:
Answer it.
Option 2:
Assume the worst, take your mother and flee with her.


Preparation time
over 2 hours
Cooking time
30 mins to 1 hour
Serves
Serves 4
This hearty, warming, flavoursome curry, with everything made from scratch, will really wow your mates.
For the naan, place the flour, yeast and baking powder into a free-standing food mixer fitted with a dough hook, or use a large bowl and a hand-held electric whisk fitted with a dough hook.
Add the egg, sugar and salt and mix well to combine. Add the yoghurt and milk and continue to mix until the mixture comes together as a soft dough.
Set the dough aside, in the bowl, for 1 hour, or until risen, then turn out onto a lightly floured work surface and knead briefly until smooth and elastic. Set aside until needed.
Divide the dough into 6 equal-sized balls, then place them onto a floured tray, cover them with a clean tea towel and set aside once more at room temperature for another 1 hour.
Meanwhile, for the dal chicken, heat half of the vegetable oil in a large, heavy-based, lidded frying pan over a high heat. Add the dried chillies and fry for 1 minute, then add the green chillies and onion and fry for 3-4 minutes, or until lightly coloured. Stir in the curry leaves, ginger and garlic and continue to fry.
In a bowl, mix the chilli powder, ground cumin, coriander and turmeric with 150ml/5fl oz of the chicken stock to form a paste. Add the paste to the pan and cook until you see the oil separate from the mixture – about 2-3 minutes.
Add the lentils and their soaking water to the pan and bring the mixture to the boil, stirring well. Season, to taste, with the salt, then reduce the heat until the mixture is simmering, cover the pan with the lid and simmer for 4-5 minutes.
Add the butter to the pan, cover once more and continue to simmer while you cook the chicken.
Heat the remaining oil in a separate saucepan over a medium heat. Fry the chicken for 3-4 minutes, or until golden-brown on both sides and almost cooked through.
Transfer the lentil mixture to the pan containing the chicken, then stir in the tinned tomatoes and remaining chicken stock. Return the mixture to a simmer and simmer for another 5-10 minutes, or until the chicken is cooked through with no trace of pink remaining and the lentils are tender.
Stir in the tamarind paste, brown sugar, coriander and mint and season again, to taste. Loosen the mixture with a little more stock if it is too thick.
For the chilli paneer, heat a wok over a high heat, then add enough oil to reach 2.5cm/1in up the sides. When the oil is just shimmering, carefully lower the paneer into the pan in batches and fry until golden-brown all over. Transfer each batch to a sieve suspended over a bowl.
Discard the majority of the oil, leaving enough to just coat the bottom of the wok.
Add the pine nuts, chilli, ginger and garlic to the wok and stir-fry for 1-2 minutes.
Add the red onion and peppers and stir-fry for another 1-2 minutes, then add the vinegar, soy sauce and chicken stock and bring to the mixture to a simmer.
Add the spring onions and continue to simmer for 1-2 minutes, then whisk in the cornflour paste and continue to cook until the sauce has just thickened. Stir in the drained paneer. Garnish with coriander.
Preheat the oven to its highest setting. Place a heavy-based baking tray or pizza stone into the oven as it heats up.
Stretch each dough ball into a flat oval shape using your hands. Bake the naans in the oven for 4-5 minutes, or until slightly risen and golden brown, then keep warm. Just before serving, brush their surfaces with melted butter.
To serve, transfer the chicken dal to a large serving bowl. Stack the naans on a serving plate alongside. Spoon the chilli paneer onto a separate serving plate. Let everybody help themselves.


Remove a UTF8 BOM at the start of the stream.
var fs = require('fs');
var concat = require('concat-stream');
var removeBOM = require('remove-bom-stream');
fs.createReadStream('utf8-file-with-bom.txt')
.pipe(removeBOM())
.pipe(concat(function(result) {
// result won't have a BOM
}));
removeBOM()
Returns a through2
stream that will remove a BOM, given the data is a UTF8 Buffer with a BOM at the beginning. If the data is not UTF8 or does not have a BOM, the data is not changed and this becomes a normal passthrough stream.
MIT


Easter egg: Open bedroom
Temperature in ctrl block:
-- 🌡
<IP_ADDRESS>
RSSI: -0.0
Living room zone 1
Living room zone 2
Living room zone 3
Bedroom
Turn Off All


A CartesianChart is used as base for all charts that are based on a coordinate system.
All charts that extends the CartesianChart do have x- and y-axis, for which this class provides the specific options.
Located in /googlecharttools/view/CartesianChart.class.php (line 40)
OptionStorage | --Chart | --Corechart | --CartesianChart
| Class | Description |
|---|---|
| BubbleChart | Creates a bubble chart. |
| ContinuousChart | A ContinuousChart is used as abstract base class for all charts whose x-axis represents continues values. |
| DiscreteChart | A DiscreteChart is used as abstract base class for all charts whose x-axis represents discrete values. |
Sets the animation that will be used when the data is drawn or redrawn.
Sets the position where the axis title will be displayed.
Sets if the chart will react on user actions and throws events.
Sets the appearance of the horizontal axis.
Sets the format of the chart's series.
Sets the chart's theme.
A theme is a set of predefined options.
Sets the axis tile's position.
Sets the appearance of the vertical axis.
Inherited From Corechart
Corechart::getPackage()
Corechart::setBackgroundColor()
Corechart::setChartArea()
Corechart::setColors()
Corechart::setFontName()
Corechart::setFontSize()
Corechart::setLegend()
Corechart::setReverseCategories()
Corechart::setTitle()
Corechart::setTitleTextStyle()
Corechart::setTooltip()
Inherited From Chart
Chart::__construct()
Chart::addJavaScriptCode()
Chart::addPrepareJavaScriptCode()
Chart::getHtmlContainer()
Chart::getId()
Chart::getJavaScriptCode()
Chart::getPackage()
Chart::setData()
Chart::setHeight()
Chart::setWidth()
Inherited From OptionStorage
OptionStorage::encodeOptions()
OptionStorage::getOption()
OptionStorage::setOption()
OptionStorage::setOptionArray()
OptionStorage::setOptionBoolean()
OptionStorage::setOptionNumeric()
The axis title will be drawn inside the chart area.
The axis title won't be displayed.
The axis title will be drawn outsite the chart area.
The chart's area is maximizes and all labels inside the chart and the legend is drawn.
The title is drawn inside the chart's area.
The title is not drawn.
The title is drawn outside the chart's area.
Documentation generated on Mon, 01 Oct 2012 16:45:02 +0200 by phpDocumentor 1.4.4


1 2 3 4 5 6 7 8 9 10 11 12
13 14 15
16 package xdc.runtime;
17
18 /*!
19 * ======== ITimestampClient ========
20 * Timestamp Client Interface
21 *
22 * This interface defines the methods used by client applications to
23 * get timestamp values. It is implemented by the
24 * `{@link xdc.runtime.Timestamp Timestamp}` module.
25 */
26 @DirectCall
27 interface ITimestampClient {
28
29 /*!
30 * ======== get32 ========
31 * Return a 32-bit timestamp
32 *
33 * @a(returns)
34 * Returns a 32-bit timestamp value.
35 * Use `{@link #getFreq}` to convert this value into units of real time.
36 *
37 * @see #get64
38 */
39
40 Bits32 get32();
41
42 /*!
43 * ======== get64 ========
44 * Return a 64-bit timestamp
45 *
46 * @param(result) pointer to 64-bit result
47 *
48 * This parameter is a pointer to a structure representing a 64-bit
49 * wide timestamp value where the current timestamp is written.
50 *
51 * If the underlying hardware does not support 64-bit resolution, the
52 * `hi` field of `result` is always set to 0; see
53 * `{@link xdc.runtime.Types#Timestamp64}`. So, it is possible for
54 * the `lo` field to wrap around without any change to the `hi` field.
55 * Use `{@link #getFreq}` to convert this value into units of real
56 * time.
57 *
58 * @see #get32
59 */
60
61 Void get64(Types.Timestamp64 *result);
62
63 /*!
64 * ======== getFreq ========
65 * Get the timestamp timer's frequency (in Hz)
66 *
67 * @param(freq) pointer to a 64-bit result
68 *
69 * This parameter is a pointer to a structure representing a 64-bit
70 * wide frequency value where the timer's frequency (in Hz)
71 * is written; see `{@link xdc.runtime.Types#FreqHz}`.
72 * This function provides a way of converting timestamp
73 * values into units of real time.
74 *
75 * @see #get32
76 * @see #get64
77 */
78
79 Void getFreq(Types.FreqHz *freq);
80 }
81 82 83
84


|
||||||||||
| PREV CLASS NEXT CLASS | FRAMES NO FRAMES | |||||||||
| SUMMARY: NESTED | FIELD | CONSTR | METHOD | DETAIL: FIELD | CONSTR | METHOD |
java.lang.Object org.apache.xalan.xsltc.dom.NodeIteratorBase
public abstract class NodeIteratorBase
| Field Summary | |
|---|---|
protected boolean |
_includeSelf
Flag indicating if "self" should be returned. |
protected boolean |
_isRestartable
Flag indicating if iterator can be restarted. |
protected int |
_last
Cached computed value of last(). |
protected int |
_markedNode
Store node in call to setMark(). |
protected int |
_position
Value of position() in this iterator. |
protected int |
_startNode
Store node in call to setStartNode(). |
| Fields inherited from interface org.apache.xalan.xsltc.NodeIterator |
|---|
END |
| Constructor Summary | |
|---|---|
NodeIteratorBase()
|
| Method Summary | |
|---|---|
NodeIterator |
cloneIterator()
Clones and resets this iterator. |
int |
getLast()
Default implementation of getLast(). |
int |
getPosition()
Returns the position() in this iterator. |
NodeIterator |
includeSelf()
Setter for _includeSelf flag. |
boolean |
isReverse()
Indicates if position in this iterator is computed in reverse document order. |
NodeIterator |
reset()
Reset this iterator using state from last call to setStartNode(). |
protected NodeIterator |
resetPosition()
Reset the position in this iterator. |
protected int |
returnNode(int node)
Utility method that increments position and returns its argument. |
void |
setRestartable(boolean isRestartable)
Setter for _isRestartable flag. |
abstract NodeIterator |
setStartNode(int node)
Initialize iterator using a node. |
| Methods inherited from class java.lang.Object |
|---|
clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait |
| Methods inherited from interface org.apache.xalan.xsltc.NodeIterator |
|---|
gotoMark, next, setMark |
| Field Detail |
|---|
protected int _last
protected int _position
protected int _markedNode
protected int _startNode
protected boolean _includeSelf
protected boolean _isRestartable
| Constructor Detail |
|---|
public NodeIteratorBase()
| Method Detail |
|---|
public void setRestartable(boolean isRestartable)
setRestartable
in interface NodeIterator
public abstract NodeIterator setStartNode(int node)
setStartNode
in interface NodeIterator
public NodeIterator reset()
reset
in interface NodeIterator
public NodeIterator includeSelf()
public int getLast()
getLast
in interface NodeIterator
public int getPosition()
getPosition
in interface NodeIterator
public boolean isReverse()
isReverse
in interface NodeIterator
public NodeIterator cloneIterator()
cloneIterator
in interface NodeIterator
protected final int returnNode(int node)
protected final NodeIterator resetPosition()
|
||||||||||
| PREV CLASS NEXT CLASS | FRAMES NO FRAMES | |||||||||
| SUMMARY: NESTED | FIELD | CONSTR | METHOD | DETAIL: FIELD | CONSTR | METHOD |


Move with the mouse or touch; try to avoid the enemies. Enemies will merge when they run into each other. Survive as long as you can, then use your one shot (space bar, or ! button on touch devices) before dying to score more points.  Bigger enemies give you a bigger multiplier. This is an open-sourcedentry in LD28.
Game Over
0!
Please use Chrome
This is an experimental game created for Ludum Dare, and has only been tested in Chrome and some mobile browsers (iOS). It is not known to work in any other browser.


My Intro
I'm Tharunkumar, My areas of interest include Web Development. Apart form this I did some self projects for learning purpose. I am a beginner in web-development with a little experience in HTML/CSS.
I want to join in your projects to get more experience and to have anopportunity to take part in creating things. I am always hungry for new challenges and innovations.Feel free to take a look at my latest projects on the web portfolio page.
I'm quietly confident, naturally curious, and perpetually improving my chops.
My journey as a designer started already at the age 18. After that I got my bachelor degree in electical and electronics Communication. And I develope my range of knowledge and gather experiences through my self learning.Fast forward few years, I’m now focusing on product design, management, and advising.


{% extends "template/_template.html" %} {% block body %}
If you don't get "queen" back, something went worng and baby SkyNet cries.
Try more examples too: "he" is to "his" as "she" is to ?, "Berlin" is to "Germany" as "Paris" is to ?(click to fill in).
Try: U.S.A.; Monty_Python; PHP; Madiba (click to fill in).
Also try: "baboon human chimp gorilla"; "blue red green crimson transparent" (click to fill in).


| Authors: | Justin Quick<EMAIL_ADDRESS>|
|---|---|
| Version: | 0.1 |
Django Activity Stream is a way of creating activities to match actions taken on your site. Activity events are categorized by three main components.
- Actor. The object that performed the action.
- Verb. The verb phrase of the action performed.
- Target. (Optional) The object that the verb is enacted on.
Actor and Target are GenericForeignKeys to any arbitrary Django object. An activity is a description of an action that was performed (Verb) at some instant in time by some Acor, with some optional Target.
Nomenclature of this specification is based on the Atom Activity Extension
Add actstream to your INSTALLED_APPS:
INSTALLED_APPS = (
...
'actstream',
...
)
Add the activity urls:
urlpatterns = patterns('',
...
('^activity/', include('actstream.urls')),
...
)
Generating actions is probably best done in a separate signal:
from django.db.models.signals import pre_save
from actstream import action
from myapp.models import MyModel
def my_handler(sender, **kwargs):
action.save(sender, verb='was saved')
pre_save.connect(my_handler, sender=MyModel)
To generate an action anywhere in your code, simply import the action signal and send it with your actor, verb, and target:
from actstream import action
action.send(request.user, verb='reached level 10')
action.send(request.user, verb='joined', target=group)
Generating the link between a User and any particular Actor is as easy as calling a function:
from actstream import follow
follow(request.user, group)
You can also just make a GET request to the actstream_follow view:
GET /activity/follow/<content_type_id>/<object_id>/
Then the current logged in user will follow the actor defined by content_type_id & object_id.
Listings of activities are available for several points of view. All are sorted by -timestamp:
from actstream import actor_stream, user_stream, model_stream
Activities by actor:
actor_stream(actor)
Activities by Django Model:
model_stream(model)
Activities from actors that a particular user is folowing:
user_stream(user)
Links the user => actor, letting the user follow the actor’s activities
Syntax:
follow(<user>, <actor>)
Example:
follow(request.user, group)


Brian McDermott on why Toronto is right place for Sonny Bill Williams to take rugby league global
Two-time Rugby World Cup winner Williams is Toronto Wolfpack's new signing - and now the highest-paid player in the history of either league or union
by James Whaling, https://www.mirror.co.uk/authors/james-whaling/Toronto boss Brian McDermott insists the Canadian city is exactly the right place for Sonny Bill Williams to take rugby league's appeal global.
New Zealander Williams was unveiled by the Wolfpack yesterday as the two-time Rugby World Cup winner becomes the highest-paid player in the history of either code.
McDermott explained that owner David Argyle stressed the lure of Toronto to him - telling of how a top NRL club had asked the Wolfpack supremo to invest in them - simply on the strength of the Toronto name.
And ex-Leeds coach McDermott believes the signing of Sonny Bill will make the world sit up and take note of Super League.
"Leeds, Wigan, Hull, St Helens - they are all big clubs," he explained. "And if something happens there - it's big in Super League. But it's not big around the world.
"I don't think any multi-millionaire that wants to get involved in the sport on a significant level is going to get excited if Salford win the Grand Final. Or Featherstone get promoted.
"Within the sport - it's brilliant - and I don't want to trivialise it. On a coaching level - go and look at that. But it is not exciting to people around the world.
"What Toronto are doing is making people around the world take note of Super League.
"There were a billion eyeballs on the World Cup semi-final. How many of those people are now clicking on one of the biggest players in the world and where he has gone to?
"They may have no interest in Super League whatsoever - but they are now going to do that.
"I don't want to put words into David's mouth - but if Sonny is an OK player - he'd probably be happy with that. Because he is paying for Sonny's brand.
"Everyone is cool with that because it absolutely works."


Résumé
― I do not compete with others, the only competition that challenges me is myself. As a fighter, friend and an employee I am known as contemplative, tortured and driven.
Experience
Recent
-
20th Feb 2020
Relocated to Lviv
Back then
-
1st October 2016 – 31st December 2016
Full Stack Developer at Dutchstar
- built, tested, and deployed applications written with React + Redux and Phalcon + MySQL
-
- occasionally I give lectures in Binary Studio Academy
- sometimes I'm being mentored by those whom I mentor
- I'm good at kitchen talks about pretty much anything
- I can play video games with you so that we become a better team
-
24th January 2017 – present
Full Stack Developer at Binary Studio
(here's my introduction letter)-
Full Stack Developer at ScreenCloud
- configured caching on CloudFront and Elasticache, WebSockets on Elastic Beanstalk, set up API Gateways and Lambdas, etc.
- did code reviews, took care of documentation, planned sprints, participated in retrospectives and daily standups
-
Languages
🇦🇷 Arab 🇺🇸 ENGLISHSkills
Character
Wants🥺
Education
-
Every day
-
December 2005 – April 2006Certificates of CCNA Course Completion at Cisco Networking Academy Program
-
1st September 2003 – 30th June 2008Bachelor's degree in computer science at Ternopil National Technical University
-
1st October 1995 – 23rd May 1999Certificate of graduation at Ternopil Art School for Children
-
1st September 1993 – 21st June 2003Certificate of graduation at №20 Middle School of General Education
Articles
None published yet


--- layout: default ---
I'm a Software Developer at where I build cool things with Javascript and Ruby


Yorkshire PuddingsMakes6 good sized Yorkshire puddings,the way my mum taught me
Ingredients
1 egg
75g plain flour
70ml milk
60ml water
Pinch of salt
Time
Cook25 mins
Instructions
Pre-heat oven to 230C or gas mark 8. Pour the vegetable oil evenly into 2 x 4-hole
Yorkshire pudding tins and place in the oven to heat through.
To make the batter, add all the flour into a bowl and beat in the eggs until smooth.
Gradually add the milk and water while beating the mixture. It should be smooth and
without lumps. Finally add a pinch of salt.
Make sure the oil is piping hot before pouring the batter evenly into the tins.
Place in the oven for 20-25 minutes until pudding have risen and look golden brown


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On Rotation was created by: Robert Shoemaker, Camil Grabowski and Gary Sanchez


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Products |
1022 West 23rd Street, Suite 620
Panama City, Florida 32401 USA
Tel:<PHONE_NUMBER> Skype calls to DeTect-inc (answered 9 AM to 5 PM US Central Time Zone)
F:<PHONE_NUMBER>
Chairman & CEO, Gary W. Andrews
President, Ron L. Merrit
Controller, Melissa Adams
Marketing Coordinator, Helen Lewis
Manager Administration & Human Resources
5801 Lee Highway
Arlington, Virginia 22207 USA
Tel:<PHONE_NUMBER> ext 299
F:<PHONE_NUMBER>
Director, International Sales, Robert Rissland
1902 Wilson Avenue,
Panama City, Florida 32405 USA
Tel:<PHONE_NUMBER>
F:<PHONE_NUMBER>
Chief Technology Officer, T. Adam Kelly
Director, Birdstrike Avoidance Systems, Ron L. Merrit
Director, Avian & Wind Energy Systems, Dr. Karen Voltura
Manager, Engineering & Operations, Doug McElwain
Manager, Data Services, Jesse Lewis
117L, South Sunset
Longmont, Colorado 80501 USA
Tel:<PHONE_NUMBER>
F:<PHONE_NUMBER>
Vice President, Meteorological Systems Group, Scott A. McLaughlin
2600 Rue Saint-Jacques,
Montreal, Quebec H3J T24 Canada
Tel:<PHONE_NUMBER>
Manager, DeTect Canada, Carolyn Matkovich
Afon House, Worthing Road
Horsham, West Sussex RH12 1TL England
Tel: 44(0)1403.788.315
Manager, DeTect EU & Middle Eastern Operations, Edward 'Zak' Zakrajsek


|
gtsam
4.0.0
gtsam
|
Files | |
| file | ActiveSetSolver-inl.h [code] |
| Implmentation of ActiveSetSolver. | |
| file | ActiveSetSolver.h [code] |
| Active set method for solving LP, QP problems. | |
| file | EqualityFactorGraph.h [code] |
| Factor graph of all LinearEquality factors. | |
| file | InequalityFactorGraph.h [code] |
| Factor graph of all LinearInequality factors. | |
| file | InfeasibleInitialValues.h [code] |
| Exception thrown when given Infeasible Initial Values. | |
| file | InfeasibleOrUnboundedProblem.h [code] |
| Throw when the problem is either infeasible or unbounded. | |
| file | LinearCost.h [code] |
| LinearCost derived from JacobianFactor to support linear cost functions c'x. | |
| file | LinearEquality.h [code] |
| LinearEquality derived from Base with constrained noise model. | |
| file | LinearInequality.h [code] |
| LinearInequality derived from Base with constrained noise model. | |
| file | LP.h [code] |
| Struct used to hold a Linear Programming Problem. | |
| file | LPInitSolver.h [code] |
| This finds a feasible solution for an LP problem. | |
| file | LPSolver.cpp |
| file | LPSolver.h [code] |
| Policy of ActiveSetSolver to solve Linear Programming Problems. | |
| file | QP.h [code] |
| Factor graphs of a Quadratic Programming problem. | |
| file | QPInitSolver.h [code] |
| This finds a feasible solution for a QP problem. | |
| file | QPSolver.cpp |
| file | QPSolver.h [code] |
| Policy of ActiveSetSolver to solve Quadratic Programming Problems. | |
| file | QPSParserException.h [code] |
| Exception thrown if there is an error parsing a QPS file. | |


{# approve/bad_key.html #} {% extends "approve/base.html" %} {% block point %}
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Usage
Click on a site (the little black circle) to select it. A selected site can be dragged or deleted by pressing the back or DEL keys. Create new sites or delete existing sites with double click.
The square has a total area of 100 appetite units. If the number of sites times the appetite is larger than 100, not all sites will be satisfied.
About
This tool allows to visualize stable-matching Voronoi diagrams. It is made to complement the paper Stable-matching Voronoi Diagram: Combinatorial Complexity and Algorithms.
However, this website does not use the algorithm from the paper. Instead, it uses a simpler algorithm for a pixelated plane rather than a continuous plane. Developed by Nil Mamano.


Blockchain is a immutable ledger that is trustworthy.
Blockchain provie the most secure method for processing your domains and transactions.
Add, Delete etc on files that provide high scalability on the files you upload
Cheap transactions of hosting as compared to other high domain and hosting costs.
All the files are uploaded on IPFS which saves files in decentralized fashion.
The BC Hosting portal is easy to use and provides best user experience
Our portal provides options for you to host you static websites uploaded in form of zip that you can access for free.
We use Blockchain for all the transaction that provide security and reliability. The files are uploaded on IPFS which adds decentralization. The only cost user pays are the gas charges required for Blockchain transaction.
Made by students of BIT Mesra, Ranchi


This test page can be used with the AWS Lambda Internet of Things Backend Reference Architecture to simulate what a physical device might do in a production setup. It has functionality to submit events to the Kinesis stream and make synchronous calls against Lambda to retrieve historical event data.
Before this page can be used, please edit the configuration parameters in the source file. Use the values from the Outputs of the CloudFormation template that belongs to this example.
For Sensor ID enter a string identifier. For Value enter a number. When a Submit is done the metric is sent to a Kinesis stream which is processed by Lambda functions which store the value in S3 and DynamoDB and sends the metric to CloudWatch. When a Query is done, a Lambda function is called, which retrieves the 20 most recent values for the sensor from DynamoDB.
|
Sensor ID: Value: |
Sensor ID: |


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offlinemot.config.configs
- class offlinemot.config.configs(file_name=None)[source]
A class used to set parameters for offline traffic objects detection and tracking from drone bird-eye videos.
…
- Variables
~configs.draw (boolean) – Whether to show tracking results as it’s calculated
~configs.detect_every_N (int) – The frequency of the detection with Yolov4 network in the video.
~configs.missing_thresh (float) – Maximum percentage of correct tracking and detection for any object to continue tracking it
~configs.use_cuda (boolean) – Whether to perform detection on GPU or CPU
~configs.resize_scale (float) – The resizing scale of the image to show while processing. 1 means the same as the true size
~configs.color_map (list) – list of RGB colors to represent each detected class while drawing (red and white are reserved). It depends on number of output classes in yolo config
~configs.bgs_history (int) – The number of frames needed for background substractor before esitimating the background
~configs.bgs_threshold (int) – The distance from which two objects are considered one in background substraction result
~configs.bgs_shadows (boolean) – Detect the shadows in a different color grade in background substraction
~configs.bgs_learning (float) – The rate which the background is learned in background substraction
~configs.bgs_erosion_size (int) – The kernel size to do erosion with on the background substraction result
~configs.bgs_min_area (int) – The minimum area in pixel for the objects in the result of background substraction
~configs.bgs_broder_margin (float) – The margin around the objects already detected from which overlapping with other objects from background substraction is ok. This is represented as percentage of the width and height of the object.
~configs.do_fix (boolean) – Whether to perform fixing the view or not
~configs.fixing_dilation (int) – The kernel size to do dilation to a mask from which matching with a reference image will be done for esitimating the transformation
~configs.min_matches (int) – The minimum number of matches to transform the image according to a reference image postion
~configs.model_name (str) – The filename of the trained Yolo model
~configs.model_config (str) – The filename of the configuration file of the trained model
~configs.classes_file_name (str) – The filename where the list of output classes are list. normaly, there are three types (cyclists, pedestrians and vehicles)
~configs.detect_thresh (float) – The minimum probability to consider a detection result from Yolo model ok.
~configs.dist_thresh (int) – The maximum distance between tracked object position and a detected position to consider a correction for its position
~configs.detect_scale (float) – How much focus on the image for detection, higher values would take the whole image, while 0 value would focus on the previously detected objects.
~configs.min_history (int) – The smallest time steps length that could be saved as a traffic object in the result
~configs.overlap_thresh (float) – The minimum percentage of objects area overlapping with another to choose one of them as duplicate and delete it
~configs.do_smooth (boolean) – Whether to smooth the tracking trajectories points according to Savitzky-Golay algorithm.
~configs.window_size (int) – The window size for the smoothing algorithm
~configs.polydegree (int) – The polydegree for the smoothin algorithm, it must be smaller than window_size
~configs.save_out_video (bool) – Whether to save the output video in mp4 format with the tracking data overlaid


Tarry Not Forward
Click Play Button to Play the Video
The history of the Sri Lanka Army dates back to 1881. A Volunteer organization that was formed as the Citizens Rifle Association was re-designated as the Ceylon [Vol] Infantry Regiment by a Gazette notification on 1 April 1881. Lieut. Colonel John Scott Armitage was appointed as the first commanding officer of this fledgling Volunteer Unit. Later, in order to encourage the concept of Volunteering, the Volunteer Force was expanded to include Units at District level. Accordingly, two Volunteer Detachments were set up in Galle and Matara in the old Dutch Forts. By the year 1910, the Army had expanded to include Regiments of the Ceylon Infantry, Ceylon Artillery, Ceylon Mounted Rifles, Ceylon Planters Rifles, Ceylon Service Corps and the Ceylon Medical Corps. Thereafter, the Ceylon Defence Force was established under Army Order No: 08 of 1910, to cater to the administration and discipline of these regiments, and came under the direct purview of the Commandant, Ceylon Defence Force. During the first World War (1914 to 1918), the Ceylon Defence Force was engaged in active service and the troops deployed in Galle and Matara too were mobilized. The Ceylon Defence Force [CDF] saw action once again during World War II [1939 to 1945]. After the War, the CDF was systematically “Ceylonised” by the appointment of Ceylonese Officers as commanding officers of Battalions. After Ceylon regained Independence in 1948 the CDF was re-designated as The Ceylon Volunteer Force and the first Ceylon [Vol] Light Infantry Battalion was established. The Detachments in Galle and Matara were renamed as “B” Company of the Ceylon [Volunteer] Light Infantry. With the adoption of the Army Act passed in Parliament on 10 October 1949, The Ceylon Army was formed through a special Gazette notification. The Politico-Military hierarchy decided to form Regular Infantry Battalions and the Volunteer Force was mobilized during national emergencies. With the abrogation of the Defence Pact with Great Britain, British troops were gradually phased out. The first Regular Infantry Battalion, the 1st Battalion of the Ceylon Light Infantry came into existence on 12 May 1950. The Ceylon [Volunteer] Light Infantry was renamed as the 2nd [Volunteer] Battalion of the Light Infantry on the same day. “B” Company in Galle and Matara was renamed as the Ruhuna Volunteer Regiment in 1950. The first commanding officer was the late Colonel C.A. Dharmapala. In 1956, with the change in the national political leadership to the Sri Lanka Freedom Party, the Ruhuna Regiment did not find favour with the political hierarchy and was disbanded. Subsequently, in October 1956, the second Regular Infantry Battalion, the 1st Battalion of the Sinha Regiment was established in the Imperial Camp in Diyatalawa. Thereafter, the 2nd [Volunteer] Battalion of the Sinha Regiment was raised in Kandy. When the Ruhuna Regiment was disbanded, the troops located in Galle and Matara were attached to various Units. Subsequently, the troops that were deployed in Galle formed the “C” Company of the 2nd [Vol] Battalion of the Sinha Regiment. In the latter half of 1959, 110 soldiers deployed as “C” Company of the 2nd [Vol] Battalion, Sinha Regiment under the command of Capt. D.S. Amarasuriya were brought together to form a new Volunteer Unit called the Gemunu Regiment, which was raised in Galle on 23 November 1959. Capt. D.S. Amarasuriya was appointed the commanding officer. The new Unit did not have a flag or cap badge, therefore, it was originally proposed to have the image of a Leopard associated with the Yala Sanctuary with cross rifles designed for the cap badge. However, it was not adopted. As the Permanent Staff of the Unit was drawn from the Sinha Regiment, they followed the traditions associated with the Sinha Regiment. The third Regular Infantry Regiment, the 1st Battalion of the Gemunu Watch, was raised at the Ceylon Volunteer Force [CVF] Camp in Diyatalawa on 7 December 1962 and subsequently occupied the Rangala Camp of the Ceylon Navy and the Imperial Camp vacated by the Sinha Regiment (which had been moved to Colombo). As Gemunu originated in Ruhuna, the Volunteer Gemunu Regiment established in Galle and the Detachment located in Matara were renamed Gemunu Battalions, and formed the Volunteer counterparts of the 1st Battalion of the Gemunu Watch. The Founding Father and first commanding officer of the 1st Battalion of the Gemunu Watch, Lieut. Colonel J.F. Halangode was from the 1st Battalion of the Ceylon Light Infantry. He was inspired by the traditions of the British Regiment, the Black Watch, and inculcated those norms and customs into the 1st Battalion of the Gemunu Watch [1GW]. The nucleus of 1GW consisted of Officers and Other Rank Cadres drawn from the Regular Units already established. The name “Gemunu” was considered for the new Unit because of the inspiration drawn from the achievements of the Great Warrior King of Lanka from Ruhuna, King Dutugemunu.
In Action
Respect
The Great King Gemunu
The Google Map
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Onion prices: I-T raids traders in Maharashtra, Delhi amid hoarding fears
I-T sleuths checked account books of some wholesale dealers against physical stocks of the commodity
by Press Trust of IndiaThe Income Tax Department on Monday surveyed Onion traders in Maharashtra, Delhi and Madhya Pradesh following reports of alleged hoarding of the commodity amid its skyrocketing prices, officials said.
They said I-T sleuths checked account books of some wholesale dealers against physical stocks of the commodity and its delivery to buyers as part of a tax evasion probe.
The department is examining the onion stocks as its prices have shot up to about Rs 100 a kg in various markets and there are reports of hoarding, they said.
Only business premises of stockists in Maharashtra, Delhi and Madhya Pradesh were surveyed, they said.
Some digital evidence and incriminating documents have been found and are being analysed, they added.


It's possible to add/remove form fields or add/remove/update validation criteria at run-time.
Here we edit "data-lugavalidator-required" at run-time:


Susan Granger's review of "PRINCE OF EGYPT" (DreamWorks)
Set in ancient Egypt, this animated tale follows the Biblical story of Exodus in which Moses grew from slave to prince and led his people to the promised land, progressing from hedonistic unawareness to an acceptance of faith and responsibility as God's chosen leader of the Jewish people. It's a loose adaptation, capturing the "essence and values" of the Bible story. Scholars may quibble with the fact that Moses is rescued by Pharaoh's wife (Helen Mirren), not daughter but, despite details which have been changed, the epic holds true as the baby is set adrift on the Nile by his mother to escape the wrath of Pharaoh (Patrick Stewart) against the Hebrews. Miraculously, he is found and raised as a member of the Royal Family.  The brothers' teenage relationship is a DreamWorks invention that works dramatically since, eventually, Moses must appeal to Ramses to let his oppressed people go, amidst plague-and-pestilence. DreamWorks' animation is stunning, never surrendering to "cute" touches that would make it into a whimsical cartoon for moppets. It's a risky, PG-rated choice that may lose the pre-school "Antz" audience but should pay off in the long run, combining "Raiders of the Lost Ark" with "The Ten Commandments." And the music is magnificent with a score that should dominate Oscar night. On the Granger Movie Gauge of 1 to 10, "Prince of Egypt" is a fanciful yet reverent 10, an instant classic that redefines the animation genre with a new sophistication. One of the best pictures of the year!
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
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Related links: index of all rec.arts.movies.reviews reviews


How many licks does it take to get to the center of a tootsie pop?
In actuality, this is a trick question because none of the answers are correct


Winter has come.
Westeros braces for a winter which may become a new Long Night, as the White Walkers and their army of the dead are poised to strike against the Wall and the realms of men.
In King's Landing, Queen Cersei Lannister has been publicly shamed by the Faith of the Seven and awaits her trial for regicide and incest. Even Grand Maester Pycelle has abandoned her, and called her uncle, Ser Kevan Lannister, to rule as the new Hand of the King. Even though Cersei has been released to their custody, her inept leadership nearly destroyed House Lannister's hold on the throne and they have no intention of ever letting her wield power again. Kevan and Pycelle must attempt to mend the damage Cersei did to the Lannister-Tyrell alliance. The Lannisters and Tyrells on Kevan's Small Council maintain a shaky truce as they attempt to deal with the ongoing debt crisis to the Iron Bank of Braavos, as well as the rise of the fanatical Faith Militant due to Cersei's blunders. Cersei meanwhile, though seemingly humbled, still has a few schemes she will attempt to play to regain control.
In the North, the Boltons have triumphed over King Stannis — but in the distraction, Sansa Stark and Theon Greyjoy have escaped, desperately jumping off Winterfell's castle walls. Brienne of Tarth, who executed Stannis, must now deal with the consequences of putting her vow to avenge King Renly before her oath to protect Sansa.
In the Riverlands, after the Red Wedding the remaining Tully forces (who were not present at the massacre of their Northern allies) pulled back to Riverrun castle - where they have been hopelessly besieged by House Frey's army ever since. The garrison is under the command of Robb Stark's great-uncle Brynden "The Blackfish" Tully, and is the last bastion of Robb's short-lived independent kingdom that remains unconquered. Riverrun's garrison may be surrounded and alone, fighting for a dead king, but their defenses are formidable, they have enough food supplies to last for years, and their commander is one of the most experienced and skilled generals in Westeros. The Lannisters and their Frey allies cannot let the siege of Riverrun continue to drag on if they are ever to claim real control over central Westeros.
In Dorne, Ellaria Sand's poisoning of Cersei's daughter, the Princess Myrcella, may now force Doran Martell into the war against the Iron Throne he has been fervently trying to avoid.
Across the Narrow Sea, in the Free City of Braavos, Arya Stark killed Meryn Trant without the Faceless Men's permission — but without the proper training, the use of one of their masks has poisoned her and rendered her blind. Her training continues, as now the blind little girl must learn to rely on her other senses to survive.
In Slaver's Bay, Daenerys Targaryen's attempt to liberate Meereen has resulted in massive bloodshed, with the former slave masters conspiring to retake the city. In a large scale ambush on the opening day of the games in Daznak's Pit however, Daenerys climbed onto Drogon's back to try to escape the danger — but she could not make him return to the city. Instead, the young dragon flew north to the southern border of the Dothraki Sea, the lands of his birth, where the stranded Daenerys has been surrounded by a hostile Dothraki khalasar numbering in the thousands. Jorah Mormont and Daario Naharis have set out to search for her. Meanwhile, back in the city Daenerys's advisors Tyrion Lannister, Missandei, and Grey Worm are joined by Varys in attempting to hold together rule over the city wracked by the ongoing insurgency until Daenerys returns — if she returns at all.
At the Wall, Lord Commander Jon Snow attempted to prepare for the coming of the White Walkers by letting as many wildlings through to the south as he could — but tens of thousands more were killed and resurrected as undead wights at Hardhome. The leading Night's Watch officers, increasingly upset at Jon's proposed alliance with the wildlings, have staged a mutiny "for the Watch" and stabbed Jon multiple times until he fell.
Just before the mutiny against Jon Snow, he sent away Samwell Tarly to go to the Citadel in Oldtown in order to train to be a new maester to replace Maester Aemon after his passing. Samwell takes Gilly and her young son with him, rather than leave them in the path of the White Walkers. Oldtown, Westeros's second largest city, is located in the southwest of the Reach, not far away from Sam's former home, the House Tarly castle-seat at Horn Hill. Samwell and Gilly, however, face a long and difficult sea voyage before they get to the Citadel.
Distracted by the political intrigues in King's Landing, the exhausted lords of Westeros must now brace for the rise of the kraken — the ironborn led by House Greyjoy. Early in the War of the Five Kings, Balon Greyjoy declared the Iron Islands' independence and raided the North while the Stark's army was fighting in the south. Having remained relatively uninvolved ever since, the ironborn's massive fleet remains at full strength, a fact lost on the major powers of the mainland, who have been nearly exhausted fighting each other.
All of this changes with the sudden return of Balon's exiled younger brother Euron Greyjoy — cunning, ruthless, manipulative, and more than a little insane, he strikes fear even into the other ironborn. He pushes for the ironborn to launch massive new offensives against the other kingdoms, not simply to raid, but to hold and conquer territory, as Euron's ultimate ambition is nothing less than to conquer all of the Seven Kingdoms. He is opposed by Balon's daughter Yara Greyjoy, who urges that the Iron Islands must preserve their strength and engage in diplomacy with the mainland if they are to survive.
And as the winds of winter begin to sweep through the south, far Beyond the Wall the young Bran Stark has been staying with the last of the Children of the Forest and his new mentor, the Three-eyed raven, in order to hone his abilities. Bran will not walk again, but he has learned to fly.


www.yahoo.com
To link from a web page to a web page on a distant computer, use the full URL in the anchor tag. Examples:
 Yahoo Home Page   The Sun Java Tutorial.   A familiar web page
The text following href=
is the URL of
the page you wish to link to.
The text between the two tags will appear colored in the
browser like this: Yahoo Home Page .
When users click on the link, the browser will go to the new location.
Play with the following web page to see how its hyperlinks work.


HTML stands for Hyper Text Markup Language. HTML is the standard for documents thats sole purpose is to be viewed in a web browser.
HTML code is used as the structure of webpages and is described as a webpages skeleton. HTML is often combined with CSS (Cascading Style Sheets) and JavaScript to make aesthetic and dynamic webpages.
Many people use HTML as a starting point in their coding journey. Before exploring HTML you should be aware of the mindset needed for coding and the persistence needed.
There is no requisite for learning HTML. However there are a few things you should be aware of.
- HTML is only the beginning of understanding Web Development, it is also necessary to understand CSS and basic JavaScript at the very least.
- You may also want to look into server hosting, web security, web accessibility or even other languages that are used on the web such as PHP.
- Before beginning you should know what HTML means as well as HTMLs role in making web pages.
HTML is a language that uses tags. Tags surround your variables of information. Below is a p tag (Paragraph) with some text in the middle. Most HTML tag types use both opening and closing tags.

 Hello World!

HTML is also a nested language. This means you can layer tags inside of each other below is an example of this. Note how the indents line up with each other to show a nested objects.

 Layer One

 Layer Two

HTML is very beginner friendly as a lot of HTML code is repeated and remains consistent between projects.
Below is a standard start of a HTML file.
<!DOCTYPE html>

<meta charset="UTF-8">
<title>Web Page title</title>
<link> rel="stylesheet" href="default.css"</link>

This is the page heading

This is text to display

There are three main sections of a HTML file.
- start/top
- the head
- and the body
The start of the file consists of the Document Type and the language for the site.
<!DOCTYPE html>

The head of the html file contains all of the HTML's file information that does not get displayed on the main page, such as the website title and links to other files needed to display the webpage. Other files you often see are are CSS files and JavaScript files. In the example below shown is the meta charset, title, and a css sheet link.

<meta charset="UTF-8">
<title>Web Page title</title>
<link> rel="stylesheet" href="default.css"</link>

The body of the html file contains all of the information that is to be displayed on the page, you can apply styling to HTML code however this is considered poor practice and is the role of a CSS file. When ran the body of the text should be displayed withn your browser as a skeleton.
Below is an example of a HTML files body code. The example includes a heading, body text (within a paragraph tag), an image and the closing html tag to mark the end of the file.

This is the page heading

This is text to display

HTML5 was the last update to HTML and was published in 2014. The update increased HTMLS scope to suit the needs of multiple browsers and multiple devices of differing screen sizes. The update also had new features to make the websites more acessible. Most would agree that the update also allowed the expansion of websites to allow them to be more dynamic and eye catching.
The main big changes you should know are the following.
- Local storage on users devices, this is more secure than cookies and has larger storage capabilites.
- Improved fonts with better fonts, colours and shadows as well as other font effects.
- Objects can now interact with the users cursor.
- Improved and better accessible tags such as article, sections and footer tags.
- Added tags for media such as the video tag and audio tag.
- Doctype declaration was shortened.
- Browser based games, audio and video no longer need installed plugins in order to work.
- 3D effects can now be rendered in browsers using WebGl.
One of the big motivators for updating HTML 4 was to help make the web accessilbe to everyone.
HTML5 includes specific tags for web designers. These tags help improve web accessiblity as they provide a consistent layout that screen readers can read. Below is an example of the accessible tags.
 Used to mark the navigation area of a site, most commonly a nav bar.
 Used to mark the main area of the website, there should only be one.

 Used to mark Headings, these go 1-6 and display in different sizes.
However all styling should still be applied with CSS so headings should be numbered
for heading order rather than size preference.

 Sections represent information that needs to be group together, you can have many sections.

 Articles represent stand alone text that is different from the main and the sections.
It is content that is unrelated to the others.

 Often sidebars, these are additional content containers that are often on the side of web pages.
 Footers are used for the end of pages, they often contain
disclaimer information and copyright information.

 Divs can be used for any other sections you need to make.
However you should avoid them where possible as they are not best practice.
They should only be used in situations where the above sections cannot.
Screen readers cannot interpret a div tags content.

Improved fonts and design capabilities allow better designed dynamic websites, this is especially good for dyslexic users of the web.
The use of alternate text and transcripts can be used on images, video and audio. These not only provide accessibility for those with disabilities but for those on older machines as the alt text displays if the media fails to load.
Most web languages have depreciated features. Unlike other languages these are not always removed. The reason for this is to keep older websites functioning. Older websites may rely on these depreciated features to function so if they were removed the websites would no longer display correctly.
Within you HTML file avoid any style tags such as line breaks (br) or font tags, this is not the roll of a HTML file and can cause complications and contraindications when you come to add your CSS to the file. All the website styling should be added using CSS.
Always make sure to nest your HTML file correctly. This improves the codes readability and makes it easier to understand. Below is two examples of code. The first is correctly nested code the second is incorrectly nested code. Nested code does not affect code when it is written correctly. This is because in most case blank spaces are ignored when the code is interpretted.

 Div 1

 Div 2

 Div 1

 Div 2

Try to use accessible tags wherever possible. This makes yout site more accessible and consistent. Consistency is key for screen readers as they will not recognise standard divs and will read them all the same and not in the correct order for your site. This will confuse users.
W3C HTML5 Reference - https://dev.w3.org/html5/html-author/
HTML vs HTML5 - What Is the Difference? By Cody Arsenault - https://www.keycdn.com/blog/html-vs-html5
Semantic HTML for Better Accessibility Kristy Parker - https://medium.com/swlh/semantic-html-for-better-accessibility-a54d0742033f


Unlimited Games. Should Red redouble? If redoubled, should White take?
pips Red=78 White=161
(CorrectAnswer= 0/0, ErrorScore= 0)
This is a very volatile position, and the next exchange of rolls could swing the game one way or the other.
If Red wins it will very likely be a gammon. In fact, 75% of his wins will be gammons.
On the other side of the coin Red is only just favourite to escape his rear checker and White is just favourite to enter next turn. So about 25% of the time Red won’t escape and White will enter which will give him a strong position and a potential redouble to 8 in the near future.
White will win from here about 40% of the time and a fifth of his wins will be gammons.
All of this adds up to a redouble for Red and an easy take for White. Not doubling is a bad error but dropping the redouble would be a triple blunder.
This is not an easy problem, and you need experience of similar positions to aid your evaluation.
If Red wins it will very likely be a gammon. In fact, 75% of his wins will be gammons.
On the other side of the coin Red is only just favourite to escape his rear checker and White is just favourite to enter next turn. So about 25% of the time Red won’t escape and White will enter which will give him a strong position and a potential redouble to 8 in the near future.
White will win from here about 40% of the time and a fifth of his wins will be gammons.
All of this adds up to a redouble for Red and an easy take for White. Not doubling is a bad error but dropping the redouble would be a triple blunder.
This is not an easy problem, and you need experience of similar positions to aid your evaluation.
Cube analysis 2-ply cubeless equity +0.580 0.610 0.438 0.007 - 0.390 0.081 0.003 Cubeful equities: 1. Double, take +0.901 2. Double, pass +1.000 (+0.099) 3. No double +0.751 (-0.150) Proper cube action: Redouble, take


A visual Machine Learning workflow
Decision tree learning uses a decision tree as a predictive model which maps observations about an item (represented in the branches) to conclusions about the item's target value (represented in the leaves)
In machine learning, computers apply statistical learning techniques to automatically identify patterns in data. These techniques can be used to make highly accurate predictions.
Keep scrolling. Using a data set about homes, we will create a machine learning model to distinguish homes in Place A from homes in Place B.
First, some intuition
Let’s say you had to determine whether a home is in Place A or in Place B. In machine learning terms, categorizing data points is a classification task.
Since Place A is relatively hilly, the elevation of a home may be a good way to distinguish the two places.
Based on the home-elevation data to the right, you could argue that a home above 240 ft should be classified as one in Place A.
Adding nuance
Adding another dimension allows for more nuance. For example, Place B apartments can be extremely expensive per square foot.
So visualizing elevation and price per square foot in a scatterplot helps us distinguish lower-elevation homes.
The data suggests that, among homes at or below 240 ft, those that cost more than £1776 per square foot are in Place B.
Dimensions in a data set are often called features, predictors, or variables.
Drawing boundaries
You can visualize your elevation (>242 ft) and price per square foot (>£1776) observations as the boundaries of regions in your scatterplot. Homes plotted in the green and blue regions would be in Place A and Place B, respectively.
Identifying boundaries in data using math is the essence of statistical learning.
Of course, you’ll need additional information to distinguish homes with lower elevations and lower per-square-foot prices.
The dataset we are using to create the model has 7 different dimensions. Creating a model is also known as training a model.
On the right, we are visualizing the variables in a scatterplot matrix to show the relationships between each pair of dimensions.
There are clearly patterns in the data, but the boundaries for delineating them are not obvious.
And now, machine learning
Finding patterns in data is where machine learning comes in. Machine learning methods use statistical learning to identify boundaries.
One example of a machine learning method is a decision tree. Decision trees look at one variable at a time and are a reasonably accessible (though rudimentary) machine learning method.
Finding better boundaries
Let's revisit the 240-ft elevation boundary proposed previously to see how we can improve upon our intuition.
Clearly, this requires a different perspective.
By transforming our visualization into a histogram, we can better see how frequently homes appear at each elevation.
While the highest home in Place B is ~240 ft, the majority of them seem to have far lower elevations.
Your first fork
A decision tree uses if-then statements to define patterns in data.
For example, if a home's elevation is above some number, then the home is probably in Place A.
In machine learning, these statements are called forks, and they split the data into two branches based on some value.
That value between the branches is called a split point. Homes to the left of that point get categorized in one way, while those to the right are categorized in another. A split point is the decision tree's version of a boundary.
Tradeoffs
Picking a split point has tradeoffs. Our initial split (~240 ft) incorrectly classifies some Place A homes as Place B ones.
Look at that large slice of green in the left pie chart, those are all the Place A homes that are misclassified. These are called false negatives.
However, a split point meant to capture every Place A home will include many Place B homes as well. These are called false positives.
The best split
At the best split, the results of each branch should be as homogeneous (or pure) as possible. There are several mathematical methods you can choose between to calculate the best split.
As we see here, even the best split on a single feature does not fully separate the Place A homes from the Place B ones.
Recursion
To add another split point, the algorithm repeats the process above on the subsets of data. This repetition is called recursion, and it is a concept that appears frequently in training models.
The histograms to the left show the distribution of each subset, repeated for each variable.
The best split will vary based which branch of the tree you are looking at.
For lower elevation homes, price per square foot is, at X pounds per sqft, is the best variable for the next if-then statement. For higher elevation homes, it is price, at Y pounds.
Growing a tree
Additional forks will add new information that can increase a tree's prediction accuracy.
Splitting one layer deeper, the tree's accuracy improves to 84%.
Adding several more layers, we get to 96%.
You could even continue to add branches until the tree's predictions are 100% accurate, so that at the end of every branch, the homes are purely in Place A or purely in Place B.
These ultimate branches of the tree are called leaf nodes. Our decision tree models will classify the homes in each leaf node according to which class of homes is in the majority.
Making predictions
The newly-trained decision tree model determines whether a home is in Place A or Place B by running each data point through the branches.
Here you can see the data that was used to train the tree flow through the tree.
This data is called training data because it was used to train the model.
Because we grew the tree until it was 100% accurate, this tree maps each training data point perfectly to which city it is in.
Reality check
Of course, what matters more is how the tree performs on previously-unseen data.
To test the tree's performance on new data, we need to apply it to data points that it has never seen before. This previously unused data is called test data.
Ideally, the tree should perform similarly on both known and unknown data.
So this one is less than ideal.
These errors are due to overfitting. Our model has learned to treat every detail in the training data as important, even details that turned out to be irrelevant.
Overfitting is part of a fundamental concept in machine learning.
Recap
- Machine learning identifies patterns using statistical learning and computers by unearthing boundaries in data sets. You can use it to make predictions.
- One method for making predictions is called a decision trees, which uses a series of if-then statements to identify boundaries and define patterns in the data
- Overfitting happens when some boundaries are based on on distinctions that don't make a difference. You can see if a model overfits by having test data flow through the model.
Footnote
Finding structures in multidimensional data sets, be they measurement data, statistics or textual documents, is difficult and time-consuming.
Interesting, novel relations between the data items may be hidden in the data. Decision trees are well positioned to bring high-dimensional multivariate data set structure to surface.
A confusion matrix has been identified as an appropriate measure for evaluating the quality of the different types of maps in representing a given data set, and for measuring the robustness of the illustration.
The same measures may also be used for comparing the knowledge that different maps represent.
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Footnotes
- Machine learning concepts have arisen across disciplines (computer science, statistics, engineering, psychology, etc), thus the different nomenclature.
- To learn more about calculating the optimal split, search for 'gini index' or 'cross entropy'.
- One reason computers are so good at applying statistical learning techniques is that they're able to do repetitive tasks, very quickly and without getting bored.
- The algorithm described here is greedy, because it takes a top-down approach to splitting the data. In other words, it is looking for the variable that makes each subset the most homogeneous at that moment.
- Hover over the dots to see the path it took in the tree.
- Spoiler alert: It's the bias/variance tradeoff!


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Too 'Junior' for Barça coach Valverde? What has happened to Firpo?
The left-back signed for up to 30 million but doesn't seem to his boss' taste
by Toni JuanmartíGiven what we have seen in Barcelona's performances against Levante and Slavia Prague, Junior Firpo is not one of Ernesto Valverde's biggest concerns.
Therefore, it's surprising to see the summer signing ostracised. Especially as he came in to provide backup for Jordi Alba but now can't even get minutes when Alba is injured.
Junior's case has taken on a new dimension this week. 'El Día Después' on Movistar + revealed the moment Barça assistant coach Jon Aspiazu told him he had not made the squad at Levante. The player's face said it all.
And with good reason. Alba was on the bench even though he was injured and Nelson Semedo was summoned to play on the left, with Junior in the stands.
On Tuesday, against Slavia, he was again in the stands. This time Alba did start but he came off because he was injured. "If I don't even play when Alba is injured, when will I play?" he must have been thinking.
Junior has played just 234 minutes this season, all in La Liga. In fact, it was only in Prague that he made the squad. Said in other words, he has played 17 percent of possible minutes.
Curiously, the last time he played was the win at Getafe at the end of September. He scored but has not played since. An injury ruled him out at first but chances have not come around since he returned.
What does he need to do to win Ernesto Valverde around? He is still adapting and being a full-back at Barcelona is different to at other clubs. But he has looked good in attack and played in a similar style under Quique Setien at Real Betis. How will he learn if he does not play?
With Alba now out again with a hamstring injury, surely Junior will get a chance at some point? The imminent international break doesn't help him in that sense, but it will be hard for Valverde to ignore him, starting with Celta Vigo's visit to Camp Nou in La Liga this weekend.


Attachment¶
-
class
O365.utils.attachment.
AttachableMixin
(attachment_name_property=None, attachment_type=None)[source]¶ Bases:
object
-
__init__
(attachment_name_property=None, attachment_type=None)[source]¶ Defines the functionality for an object to be attachable. Any object that inherits from this class will be attachable (if the underlying api allows that)
-
property
attachment_name
¶ Name of the attachment
- Getter
get attachment name
- Setter
set new name for the attachment
- Type
str
-
property
attachment_type
¶ Type of attachment
- Return type
str
-
-
class
O365.utils.attachment.
BaseAttachment
(attachment=None, *, parent=None, **kwargs)[source]¶ Bases:
O365.utils.utils.ApiComponent
BaseAttachment class is the base object for dealing with attachments
-
__init__
(attachment=None, *, parent=None, **kwargs)[source]¶ Creates a new attachment, optionally from existing cloud data
- Parameters
attachment (dict or str or Path or list[str] or AttachableMixin) – attachment data (dict = cloud data, other = user data)
parent (BaseAttachments) – the parent Attachments
protocol (Protocol) – protocol to use if no parent specified (kwargs)
main_resource (str) – use this resource instead of parent resource (kwargs)
-
attach
(api_object, on_cloud=False)[source]¶ Attach this attachment to an existing api_object. This BaseAttachment object must be an orphan BaseAttachment created for the sole purpose of attach it to something and therefore run this method.
- Parameters
api_object – object to attach to
on_cloud – if the attachment is on cloud or not
- Returns
Success / Failure
- Return type
bool
-
-
class
O365.utils.attachment.
BaseAttachments
(parent, attachments=None)[source]¶ Bases:
O365.utils.utils.ApiComponent
A Collection of BaseAttachments
-
__init__
(parent, attachments=None)[source]¶ Attachments must be a list of path strings or dictionary elements
- Parameters
parent (Account) – parent object
attachments (list[str] or list[Path] or str or Path or dict) – list of attachments
-
add
(attachments)[source]¶ Add more attachments
- Parameters
attachments (list[str] or list[Path] or str or Path or dict) – list of attachments
-
download_attachments
()[source]¶ Downloads this message attachments into memory. Need a call to ‘attachment.save’ to save them on disk.
- Returns
Success / Failure
- Return type
bool
-


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