Blog:
11/9/14
Big O Notation
I recently was exposed to a website . This made me think of a recent conflict I had with a roommate. We came into conflict because I was very frustrated by his behavior. He stayed up all night and smoked cigarettes continuously. When he did sleep it was with the tv on full blast. When I confronted him about these problems he would readily agree but not actually modify his behavior.
Eventually once I learned more about his situation I came to understand that he was just in a very difficult place and It wasn’t that he did not care. He was just preoccupied.
In terms of the compass, he had an avoidance direction. He could not handle what was happening in his life so he avoided it. I would say I tend in the attack self direction. I readily blame myself and take responsibly for thing that are not necessarily my fault.


I am student at the University of Waterloo, and I specialize in UI design.
This site was designed with pure CSS
Learned and Developed using open source library skrollr from github
I'm always learning new skills to develop even better projects! Thanks for visiting this demo!


We understand that some of you may wish give a gift to help us build our home and begin our journey together. We have selected some registry options above but please do not feel obligated. What truly matters to us is our Family & Friends.
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Asda blames sales slump on Brexit uncertainty
by Jessica ClarkAsda said Brexit uncertainty is negatively affecting consumer spending as the supermarket giant reported a dip in sales in the third quarter.
Like-for-like sales, excluding petrol, fell 0.5 per cent in the third quarter as Brexit and the upcoming general election ramped up the levels of uncertainty.
Read more: Asda gives hundreds of employees extra week to sign new contracts before facing sack
The grocer said its gross profit rate fell due to price reductions in its clothing division following a softer summer season compared to last year.
The fall in gross profit rate, along with increased operating expenses, meant operating income was also lower.
Asda chief executive Roger Burnley said: “This quarter has afforded consumers little respite from political or economic uncertainty and this has shown in their spending.”
Doug McMillon, chief executive of Asda’s parent company Walmart, which also reported quarterly earnings today, said: “In the UK, concerns over Brexit continue to negatively affect customer spending patterns.”
Walmart reported that revenue increased 2.5 per cent to $138m, while operating income sank 5.4 per cent due to a non-cash impairment change for Walmart International.
Online sales in the US soared 41 per cent as the supermarket – which is the world’s largest retailer – targeted strong growth in its ecommerce business and Walmart raised its annual earnings outlook.
McMillon said: “We’re pleased with our performance for the quarter. Our associates are responding to change in an inspiring way, and we’re proud of them.
“The Walmart US business saw strong comp sales and expense leverage, and operating income grew for the sixth consecutive quarter.”
Read more: Asda offloads pensions in £4bn deal
“Looking ahead, we’re prepared for a good holiday season,” he added. “Our integrated offering with stores and eCommerce delivers value and convenience for our customers.
“Our associates are working hard to ensure we succeed — one customer, one interaction at a time.”
Main image credit: Getty


DEEP BLUE SEA A film review by Christopher Null Copyright 1999 Christopher Null filmcritic.com
It's been a few years since a good shark movie, and while LAKE PLACID played games with the monster movie genre, DEEP BLUE SEA aims to please with an old-fashioned thriller where, once again, the beasts are much smarter than the prey (the people).
The story is familiar – genetic tampering makes sharks brilliantly intelligent – and they want nothing more than to eat people. Along the food chain are Samuel Jackson, Saffron Burrows, Thomas Jane, and Michael Rapaport. But most notable is rapper LL Cool J as a cook/preacher who provides much-needed comic relief to the proceedings.
Burrows and Jackson are also fun (with Burrows redeeming herself for the debacle of WING COMMANDER earlier this year), and a mostly clever and zippy script keeps the film alive. Director Renny Harlin seems to be back in decent form, too. And the CGI sharks are awfully well-done, with some of the best biting-a-person-in-half sequences ever put on film, he said, only slightly sarcastically.
Ultimately, DEEP BLUE SEA lands somewhere between THE ABYSS and LEVIATHAN in the pantheon of underwater monster thrillers. It's not great and it doesn't suck, but it'll get your date to jump into your lap, and that's really what a movie like this is all about, right?
RATING: ***1/2
|------------------------------| \ ***** Perfection \ \ **** Good, memorable film \ \ *** Average, hits and misses \ \ ** Sub-par on many levels \ \ * Unquestionably awful \ |------------------------------|
MPAA Rating: R
Director: Renny Harlin Producer: Akiva Goldsman, Robert Kosberg, Tony Ludwig, Alan Riche Writer: Duncan Kennedy, Wayne Powers, Donna Powers Starring: Samuel L. Jackson, Saffron Burrows, Thomas Jane, Stellan Skarsgard, LL Cool J, Michael Rapaport
http://www.wb-deepbluesea.com/
Christopher Null -<EMAIL_ADDRESS>- http://www.filmcritic.com Author - Network Administrator's Reference, 1999, ISBN 0-07-882588-1 http://www.amazon.com/exec/obidos/ASIN/0078825881/filmcriticcom
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


THE PLANET OF THE APES (a film review by Mark R. Leeper)
CAPSULE: The much anticipated re-adaptation of the Pierre Boulle novel comes to the screen as a dark and a little dreary film with lots of chases and fighting, but very little intelligence. Visually there is much to like about this version, but the approach is to take an adventure after the style of GULLIVER'S TRAVELS and treat it as an action film. That makes it a film without much center. Rating: 4 (0 to 10), 0 (-4 to +4)
Pierre Boulle, author of THE BRIDGE ON THE RIVER KWAI, wrote PLANET OF THE APES (a.k.a. MONKEY PLANET), the novel, as a social satire. It reads a lot like a fifth book of GULLIVER'S TRAVELS. Humans discover a planet in which the roles of apes and humans have been reversed, not unlike the roles of horses and humans on Jonathan Swift's island of the Houyhnhnms. The novel moves somewhat slowly to create some suspense in revealing all the things most film fans know to be true about the nature of the planet. It seems to me there is also a statement about human cruelty to animals, but perhaps I was just looking for that.
When Rod Serling adapted the novel into a film released in 1968, he added a number of Serling touches, familiar from episodes of THE TWILIGHT ZONE and changed the ending to make it more Serling-ish. The final irony of the original version has become film history. Without it there could never have been a "Planet of the Apes" film series. I can surmise only that Serling ran into serious script problems in how to handle the tricky question of language. In the book the apes had their own language and the human eventually learned that language. That could have been done in the film, but that would have required the entire film to be subtitled for the non-ape-speaking. Serling avoided this by having the apes speak English and, of course, there is some justification for that by the end of the film. Justifying why the apes spoke English may have even been the inspiration for his surprise ending. But Serling never tackles the all-important question of why a supposedly intelligent human never shows any curiosity or even surprise that the apes speak his own language, a language they had no opportunity to ever hear. Few viewers questioned this serious plot hole, however, and the film has become well respected in cinema history. Partial credit at least should go to Jerry Goldsmith whose extremely inventive score is one of Goldsmith's best if not his best.
When the film's success called for sequels, the filmmakers turned up the violence and they added well-intentioned, though not very subtle, political messages about what was happening in the United States of the 1960s and 1970s. While the first film had a little shooting of guns and what was there seemed a little half- hearted, by the second film, BENEATH THE PLANET OF THE APES, there was a good deal more violence and from that point on the series had a lot of violence and chases. The series concluded with BATTLE FOR THE PLANET OF THE APES in 1973. Now director Tim Burton tries his hand at adapting the original book again.
For those who thought that the 1968 version was not very faithful to the book, Burton's new version is even less faithful. First, he does not really reverse the roles of the humans and the apes. He has them both be intelligent, articulate races battling for a dominance of the planet currently in the hands, uh, make that paws, of the apes. That could be a good story too, but it is not PLANET OF THE APES. As with the MISSION IMPOSSIBLE films and so many other cinematic homages to the third quarter of the last century, the title makes promises that the filmmakers have no intention of honoring.
In 2029 Leo Davidson (Mark Wahlberg, not this world's most expressive actor) works on a space station increasing the intelligence and usefulness of apes.  (Yes, he survives this storm, but then no storm is perfect.) He quickly finds, not greatly to any surprise he shows, that on this planet apes rule and humans drool, but everybody talks. And the language they talk is Earth- English. Apparently it does not even occur to Leo that there is a mystery that needs to be explained about that. The fact it does not occur to Leo and apparently didn't occur to Tim Burton either is the heart of the real horror of this film. Both just assumed that if apes were going to talk the language they would speak would be English. In any case having one talking race dominating another makes this not a look at human-animal relationships and more one of the master-slave relationships. Outside of Sudan and a few other countries this is a less relevant topic.
Leo is captured to be used as a slave but also is discovered by Ari, played by Helena Bonham Carter. Ari is an attractive ape with close ties to high political power. She is bent on making the world a better place. Perhaps in a previous draft of the script she was called Hil-Ari. In any case with makeup that stifles her usual pout, Carter is just about as attractive as she has ever been in a film. She may want to consider this to become her standard look from this point forward.
It is not long before Leo escapes with some human and only a couple of sympathetic apes. This is a further abandonment of the source material. The chase severely limits the interplay of ape and human and the examination of each's place in this reversed society, each important in the book. We cannot see how the society works because most of the screentime society has broken down. We see the humans either separated from the apes or fighting them. Burton chooses visceral thrills over cerebral ones at almost every turn. This is a miscalculation, as characters so lacking in empathy value are difficult ones to place much emotional investment in. They are basically chess pieces and the viewer has little reason to root for them to win. The 1968 script had little subtlety, with lines like "I never met an ape I didn't like," but at least we cared for what happened to Taylor, the main character. Most of what this film has to offer is in the visuals.
The visual work is spotty but generally nicely done except that so much of the film takes place in the night or in fog. This tends to limit close looks at the makeup. In general it seems much improved from 1968. The makeup team is led by Rick Baker instead of John Chambers, who did it for the 1968 version. In 1968 Chambers makeup was a jaw-dropper. It was realistic enough to almost be believable but flexible enough to show emotion. Chambers is good, but if anyone had a chance to best him it would have to be Baker. Today audiences have higher expectations; Baker's visualization is really an improvement. These visuals work nicely. What does not work is the wire- assisted leaps some of the apes make. They look like they were inspired by the physics- defying leaps of CROUCHING TIGER, HIDDEN DRAGON. Apes spring incredible distances. Some of the best scenes are apes running into battle looking like they have ape posture, but when they start flying through the air the effect is lost. One final visual problem is that the film frequently shows its budget in what should be spectacular battle scenes the camera shows us only a small group of people close-up.
Since the days of Lon Chaney and Boris Karloff few actors have crossed over to stardom in a role that required heavy make-up. The one actor who has a shot is Paul Giamatti. It is not that his lines are so good, most are silly jokes. But he delivers them very well. He was always a watchable actor, but has not yet made stardom. As the ape-trader Limbo he over-emotes to overcome his ape make-up, but does it very well. In doing so he makes himself the most interesting thing on the screen. He is probably the best thing in the film and conjures up memories of Peter Ustinov's performance in SPARTACUS.
As an in-joke there are several lines in the script borrowed from the 1968 film and an old ape played by Charleton Heston becomes an allusion to the first film by itself. Danny Elfman's score has a nice primitive feel, but Jerry Goldsmith's 1968 tour de force score is a real classic. That score and the whole film will be remembered when the 2001 film is forgotten. I rate the remake 4 on the 0 to 10 scale and a 0 on the -4 to +4 scale.
Mark R. Leeper<EMAIL_ADDRESS>Copyright 2001 Mark R. Leeper
========== X-RAMR-ID: 29006 X-Language: en X-RT-ReviewID: 240471 X-RT-TitleID: 1108704 X-RT-AuthorID: 1309 X-RT-RatingText: 4/10
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


[gecode-users] Gecode/J - gist in Netbeans
Miroslava Plachá
139902 at mail.muni.cz
Mon Feb 26 18:58:21 CET 2007
Hi,
I'm a newbie in Java and Gecode/J. I use Netbeans (WinXP). Everything is
working except of gist. If I take any example given within install pack and run
it with class Options in the same package, the result is always the same:
e.g.
Exception in thread "main" java.lang.NullPointerException
at org.gecode.gist.swing.SwingUI.setCurrentNode(SwingUI.java:107)
at org.gecode.gist.GistController.setCurrentNode(GistController.java:164)
at org.gecode.gist.GistController.stateChanged(GistController.java:370)
at org.gecode.gist.GistController.searchDone(GistController.java:362)
at org.gecode.gist.GistController.exploreOne(GistController.java:98)
at org.gecode.gist.Gist.exploreOne(Gist.java:60)
at examples.Options.doSearch(Options.java:286)
at examples.Options.doSearch(Options.java:182)
at examples.MagicSquare.main(MagicSquare.java:102)
I didn't touch a letter, gecode library is attached, so I think it's due to
Netbeans. Can you recommand me some editor I can see gist working in? (or is
the problem in me as always?)
Thanks a lot
Mirka Placha
More information about the gecode-users
mailing list


Twitalytics is a tool that helps you explore the impact social media has on the stock market.
Twitalytics tries to find correlations between tweets from CEO's and the price movement of their companies.
Just enter the name of the CEO you wish to search!


Blog of Minch
Python
Pandas
Julia
pkg&help
this is a pkg using doc of Julia.
this is a demo of my blog


Data Structures | |
| struct | atomic_object |
| Implementation-specific structure holding an atomic object. More... | |
Defines | |
| #define | atomic_inc(ptr) atomic_add(ptr, 1) |
| Increment the memory object at ptr atomically. | |
| #define | atomic_dec(ptr) atomic_sub(ptr, 1) |
| Decrement the memory object at ptr atomically. | |
Typedefs | |
| typedef struct atomic_object | atomic_t |
| An atomic object representing a value which is manipulated atomically. | |
| typedef uint8_t | atomic_value_t |
| A value held by an atomic object. | |
Functions | |
| static atomic_value_t | atomic_read (atomic_t *ptr) |
| Return the value of the atomic object at ptr. | |
| static void | atomic_write (atomic_t *ptr, atomic_value_t value) |
| Write value to the atomic object at ptr. | |
| static atomic_t | atomic_add (atomic_t *ptr, atomic_value_t value) |
| Atomically add value to the value stored at ptr. | |
| static atomic_t | atomic_sub (atomic_t *ptr, atomic_value_t value) |
| Atomically subtract value from the value stored at ptr. |
Atomic operations allow you to do certain arithmetic read-modify-write operations atomically. The atomic operations guarantee that the memory object being modified will not be altered by any other code while the operation is being carried out.
Normally, when incrementing a variable stored in memory, the processor will have to load the current value from memory into a register, increment the value in the register and store the result back into memory. If for example an interrupt comes along while this happens, and the interrupt handler modifies the same variable, the result will usually be wrong since the value stored by the interrupt handler will be ignored. If the variable is incremented using an atomic operation, the read-modify-write operation will happen in its entirety either before or after the interrupt handler runs, thus avoiding this problem.
One common way to implement atomic operations is to disable interrupts around the operation. However, some architectures may have specialized instructions which allow interrupts to be enabled while the read-modify-write operation is being carried out. It is therefore recommended to use atomic operations instead of disabling interrupts "manually" wherever possible.
| #define atomic_dec | ( | ptr | ) | atomic_sub(ptr, 1) |
| #define atomic_inc | ( | ptr | ) | atomic_add(ptr, 1) |
| struct atomic_object atomic_t |
An atomic object representing a value which is manipulated atomically.
| typedef uint8_t atomic_value_t |
| atomic_t atomic_add | ( | atomic_t * | ptr, | |
| atomic_value_t | value | |||
| ) | [inline, static] |
Atomically add value to the value stored at ptr.
Definition at line 78 of file atomic.h.
References cpu_irq_restore(), cpu_irq_save(), and atomic_object::value.
| atomic_value_t atomic_read | ( | atomic_t * | ptr | ) | [inline, static] |
Return the value of the atomic object at ptr.
Definition at line 66 of file atomic.h.
References barrier, and atomic_object::value.
| atomic_t atomic_sub | ( | atomic_t * | ptr, | |
| atomic_value_t | value | |||
| ) | [inline, static] |
Atomically subtract value from the value stored at ptr.
Definition at line 91 of file atomic.h.
References cpu_irq_restore(), cpu_irq_save(), and atomic_object::value.
| void atomic_write | ( | atomic_t * | ptr, | |
| atomic_value_t | value | |||
| ) | [inline, static] |
Write value to the atomic object at ptr.
Definition at line 72 of file atomic.h.
References barrier, and atomic_object::value.


Understanding Boolean Values
- Boolean values are never written with quotes. The strings "true" and "false" are not Boolean and have no special meaning in JavaScript.
- function welcomeToBooleans() {
// Only change code below this line
return true; // Change this line
// Only change code above this line
}
Conditonal Logic with If statements
When the condition evaluates to true, the program executes the statement inside the curly braces. When the Boolean condition evaluates to false, the statement inside the curly braces will not execute.
- {Pseudocode}
if (condition is true) {
statement is executed
}
[answer]
- function trueOrFalse(wasThatTrue) {
// Only change code below this line
if (wasThatTrue) {
return "Yes, that was true";
}
return "No, that was false";
}
// Only change code above this line
Comparison with the Equality Operator
h1[Type Coercion".]
1 == 1 // true
1 == 2 // false
1 == '1' // true
"3" == 3 // true
// Setup
function testEqual(val) {
if (val == 12) { // Change this line
return "Equal";
}
return "Not Equal";
}
testEqual(10);
Comparison with the Strict Equality Opertor
If the values being compared have different types, they are considered unequal, and the strict equality operator will return false.
Examples
3 === 3 // true
3 === '3' // false
? strict equality operator in the if statement so the function will return "Equal" when val is strictly equal to 7
answer
- // Setup
function testStrict(val) {
if (val === 7) { // Change this line
return "Equal";
}
return "Not Equal";
}
testStrict(10);
Practice Comparing different values
Examples
3 == '3' // returns true because JavaScript performs type conversion from string to number
3 === '3' // returns false because the types are different and type conversion is not performed
Note
In JavaScript, you can determine the type of a variable or a value with the typeof operator, as follows:
typeof 3 // returns 'number'
typeof '3' // returns 'string'
- The compareEquality function in the editor compares two values using the equality operator. Modify the function so that it returns "Equal" only when the values are strictly equal.
- Answer
function compareEquality(a, b) {
if (a === b) { // Change this line
return "Equal";
}
return "Not Equal";
}
compareEquality(10, "10");
Comparison with the Inequality Operator
The inequality operator (!=) is the opposite of the equality operator. It means "Not Equal" and returns false where equality would return true and vice versa.
Examples
1 != 2 // true
1 != "1" // false
1 != '1' // false
1 != true // false
0 != false // false
- Add the inequality operator != in the if statement so that the function will return "Not Equal" when val is not equivalent to 99
- Answer:
// Setup
function testNotEqual(val) {
if (val != 99) { // Change this line
return "Not Equal";
}
return "Equal";
}
testNotEqual(10);
Comparison with the Strict Inequality Operator
The strict inequality operator (!==) is the logical opposite of the strict equality operator. It means "Strictly Not Equal" and returns false where strict equality would return true and vice versa.
Strict inequality will not convert data types.
Examples
3 !== 3 // false
3 !== '3' // true
4 !== 3 // true
- Add the strict inequality operator to the if statement so the function will return "Not Equal" when val is not strictly equal to 17
- answer
// Setup
function testStrictNotEqual(val) {
if (val !== 17) { // Change this line
return "Not Equal";
}
return "Equal";
}
testStrictNotEqual(10);
Comparison with the Greater Than Operator
The greater than operator (>) compares the values of two numbers. If the number to the left is greater than the number to the right, it returns true. Otherwise, it returns false.
Examples
5 > 3 // true
7 > '3' // true
2 > 3 // false
'1' > 9 // false
- Add the greater than operator to the indicated lines so that the return statements make sense.
- Answer:
function testGreaterThan(val) {
if (val > 100) { // Change this line
return "Over 100";
}
if (val > 10) { // Change this line
return "Over 10";
}
return "10 or Under";
}
testGreaterThan(10);


Link to this page at GitHub
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Lab9
Problem 1,2 (see console output, please)
Problem 3a - Form1 from Lab4
Problem 3b - Form2 from Lab4


Originally created by web developers at Moringa School hoping to become one of the most popular Tenant Website Application in East Africa.
The Tenant App gears towards ensuring that tenants have an easier way of meeting their neighbours and harmonising community living among the tenants.
This app also helps in ensuring security in the rentals in the sense that when i have an idea of who my neighbours are i will be able to identify them incase of an alert or any suspicious people around the rentals.
We hope it will bring a sense of community living among the tenants and at the end of the day increase security in the rentals.


Base Attack Bonus: +{{ character_class_variant.required_bab }}
{% endif %} {# Alignment for PrC is displayed as a requirement. "Any" is ignored. #} {% if character_class.prestige and character_class_variant.alignment and character_class_variant.alignment != "Any" %}Alignment: {{ character_class_variant.alignment }}
{% endif %} {% if required_races %}Race: {% for required_race in required_races %} {% if not forloop.first and not required_race.remove_comma %}or{% endif %} {{ required_race.text_before }} {# {{ required_race.race }}#} {{ required_race.race }} {% if required_race.extra %}({{ required_race.extra }}){% endif %} {{ required_race.text_after }} {% endfor %}
{% endif %} {% if required_skills %}Skills: {% for required_skill in required_skills %} {% if not forloop.first and not required_skill.remove_comma %}, {% endif %} {{ required_skill.text_before }} {{ required_skill.skill.name }} {% if required_skill.extra %}({{ required_skill.extra }}){% endif %} {{ required_skill.ranks }} ranks {{ required_skill.text_after }} {% endfor %}
{% endif %} {% if required_feats %}Feats: {% for required_feat in required_feats %} {% if not forloop.first and not required_feat.remove_comma %}, {% endif %} {{ required_feat.text_before }} {{ required_feat.feat }} {% if required_feat.extra %}({{ required_feat.extra }}){% endif %} {{ required_feat.text_after }} {% endfor %}
{% endif %} {{ character_class_variant.requirements_html|safe }}Dear visitor,
this class is not yet completed. We are working hard to make the site complete, but as there are roughly about a thousand classes, this can take some time.
If you want to see this class done faster, let us know and we will move it up our priority list. Or better yet, if you would like to contribute to the site, you can apply to be a part of our team yourself!
d{{ character_class_variant.hit_die }}
{% endif %} {# Alignment for PrC is displayed as a requirement #} {% if character_class_variant.alignment and not character_class.prestige %}{{ character_class_variant.alignment }}
{% endif %} {% if character_class_variant.starting_gold %}{{ character_class_variant.starting_gold }}
{% endif %} {% if character_class_variant.skill_points %}{{ character_class_variant.skill_points }} + Int
{% endif %}{{ character_class_variant.class_features|linebreaksbr }}
{% endif %}


| Day | Food Item | Weight(Oz) | Serving Size | Calories Consumed |
This helathy food fact might help you in the future to make a healthy choice on your next meal. When cutting back on unhealthy foods in your diet, it’s important to replace them with healthy alternatives. Replacing dangerous trans fats with healthy fats (such as switching fried chicken for grilled fish) will make a positive difference to your health.
Have you ever wanted to know how many calories you consume per day? Well with this diet designed webiste we have created a calorie calculator to help you add up the total calories consumed per day by you. Just input all the information that you put in the calorie section up above and combine the totals together to place in the table below.
| Day | Calories consumed |
Have you ever had an issue tracking how much weight you've lost on a diet? Well thanks to this site, you can now track how much weight you've lost from day day. The below table will help track that weight by inputing the day of your diet and how much you way, it's that easy.
| Day | Weight | Weight Lost |


Using our Sealed Bristle Technology ™, the Power Screen is by far the most impressive and effective 30 day screen in the market. It is a "must" for every urinal.
Ekcos innovation is the only company licensed to produce urinal screens
featuring Sealed Bristle Technology™.
No other company has been granted a licensee to do so
*This product is designed to biodegrade in a biological active landfill (appropriate facilities not available in all areas).
Testing ASTM D5511-2 that we have conducted represent biologically active landfills on our products have shown 99% biodegradation in less than 5 years.


| Class |
Description |
|
AbstractFactory
|
Licensed to the Apache Software Foundation (ASF) under one
or more contributor license agreements. |
|
AllTestSuite
|
Licensed to the Apache Software Foundation (ASF) under one
or more contributor license agreements. |
|
AntBuilder
|
Licensed to the Apache Software Foundation (ASF) under one
or more contributor license agreements. |
|
BuilderSupport
|
Licensed to the Apache Software Foundation (ASF) under one
or more contributor license agreements. |
|
CharsetToolkit
|
Licensed to the Apache Software Foundation (ASF) under one
or more contributor license agreements. |
|
CliBuilder
|
Provides a builder to assist the processing of command line arguments. |
|
ClosureComparator
|
Licensed to the Apache Software Foundation (ASF) under one
or more contributor license agreements. |
|
ConfigBinding
|
Since Groovy Script doesn't support overriding setProperty, we have to using a trick with the Binding to provide this
functionality |
|
ConfigObject
|
Licensed to the Apache Software Foundation (ASF) under one
or more contributor license agreements. |
|
ConfigSlurper
|
|
|
DelegatingScript
|
Licensed to the Apache Software Foundation (ASF) under one
or more contributor license agreements. |
|
Eval
|
Licensed to the Apache Software Foundation (ASF) under one
or more contributor license agreements. |
|
Expando
|
Licensed to the Apache Software Foundation (ASF) under one
or more contributor license agreements. |
|
FactoryBuilderSupport
|
Licensed to the Apache Software Foundation (ASF) under one
or more contributor license agreements. |
|
FileNameByRegexFinder
|
Find files according to a base directory and an includes and excludes pattern.
|
|
FileNameFinder
|
Find files according to a base directory and an includes and excludes pattern.
|
|
FileTreeBuilder
|
A builder dedicated at generating a file directory structure from a
specification. |
|
GroovyAssert
|
Licensed to the Apache Software Foundation (ASF) under one
or more contributor license agreements. |
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GroovyCollections
|
Licensed to the Apache Software Foundation (ASF) under one
or more contributor license agreements. |
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GroovyMBean
|
Licensed to the Apache Software Foundation (ASF) under one
or more contributor license agreements. |
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GroovyScriptEngine
|
Licensed to the Apache Software Foundation (ASF) under one
or more contributor license agreements. |
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GroovyShellTestCase
|
Groovy test case, which recreates internal GroovyShell in each setUp () |
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GroovyTestCase
|
Licensed to the Apache Software Foundation (ASF) under one
or more contributor license agreements. |
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GroovyTestSuite
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Licensed to the Apache Software Foundation (ASF) under one
or more contributor license agreements. |
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IndentPrinter
|
Licensed to the Apache Software Foundation (ASF) under one
or more contributor license agreements. |
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JavadocAssertionTestBuilder
|
JavadocAssertionTestBuilder will dynamically create a test cases from Groovy assertions placed within
the Javadoc comments of a source file. |
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JavadocAssertionTestSuite
|
JavadocAssertionTestSuite will dynamically create test cases from Groovy assertions placed within
Javadoc comments. |
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MapEntry
|
Licensed to the Apache Software Foundation (ASF) under one
or more contributor license agreements. |
|
Node
|
Licensed to the Apache Software Foundation (ASF) under one
or more contributor license agreements. |
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NodeBuilder
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Licensed to the Apache Software Foundation (ASF) under one
or more contributor license agreements. |
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NodeList
|
Licensed to the Apache Software Foundation (ASF) under one
or more contributor license agreements. |
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NodePrinter
|
Licensed to the Apache Software Foundation (ASF) under one
or more contributor license agreements. |
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ObjectGraphBuilder
|
Licensed to the Apache Software Foundation (ASF) under one
or more contributor license agreements. |
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ObjectGraphBuilder.DefaultChildPropertySetter
|
Default impl that calls parent.propertyName = child
If parent.propertyName is a Collection it will try to add child to the
collection. |
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ObjectGraphBuilder.DefaultClassNameResolver
|
Default impl that capitalizes the classname. |
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ObjectGraphBuilder.DefaultIdentifierResolver
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Default impl, always returns 'id' |
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ObjectGraphBuilder.DefaultNewInstanceResolver
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Default impl that calls Class.newInstance() |
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ObjectGraphBuilder.DefaultReferenceResolver
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Default impl, always returns 'refId' |
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ObjectGraphBuilder.DefaultRelationNameResolver
|
Default impl that returns parentName and childName accordingly. |
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ObjectGraphBuilder.ReflectionClassNameResolver
|
Build objects using reflection to resolve class names. |
|
ObservableList
|
Licensed to the Apache Software Foundation (ASF) under one
or more contributor license agreements. |
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ObservableList.ElementAddedEvent
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ObservableList.ElementClearedEvent
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ObservableList.ElementEvent
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ObservableList.ElementRemovedEvent
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ObservableList.ElementUpdatedEvent
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ObservableList.MultiElementAddedEvent
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ObservableList.MultiElementRemovedEvent
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ObservableList.ObservableIterator
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ObservableList.ObservableListIterator
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ObservableMap
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Licensed to the Apache Software Foundation (ASF) under one
or more contributor license agreements. |
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ObservableMap.MultiPropertyEvent
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ObservableMap.PropertyAddedEvent
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ObservableMap.PropertyClearedEvent
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ObservableMap.PropertyEvent
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ObservableMap.PropertyRemovedEvent
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ObservableMap.PropertyUpdatedEvent
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ObservableSet
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Licensed to the Apache Software Foundation (ASF) under one
or more contributor license agreements. |
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ObservableSet.ElementAddedEvent
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ObservableSet.ElementClearedEvent
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ObservableSet.ElementEvent
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ObservableSet.ElementRemovedEvent
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ObservableSet.MultiElementAddedEvent
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ObservableSet.MultiElementRemovedEvent
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ObservableSet.ObservableIterator
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OptionAccessor
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OrderBy
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Licensed to the Apache Software Foundation (ASF) under one
or more contributor license agreements. |
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PermutationGenerator
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Licensed to the Apache Software Foundation (ASF) under one
or more contributor license agreements. |
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Proxy
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Licensed to the Apache Software Foundation (ASF) under one
or more contributor license agreements. |
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ProxyGenerator
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Licensed to the Apache Software Foundation (ASF) under one
or more contributor license agreements. |
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StringTestUtil
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XmlNodePrinter
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Licensed to the Apache Software Foundation (ASF) under one
or more contributor license agreements. |
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XmlNodePrinter.NamespaceContext
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XmlParser
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Licensed to the Apache Software Foundation (ASF) under one
or more contributor license agreements. |
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XmlSlurper
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Licensed to the Apache Software Foundation (ASF) under one
or more contributor license agreements. |


Ryan O'Connor
<EMAIL_ADDRESS>Introduction
My name is Ryan and I am majoring in cyber security.
My family consists of me, my mom, my dad, and my older sister.
In my spare time enjoy watching movies and playing video games.
What I Hope to Learn in this Course
- Cloud Computing with HTML and CSS
- Artificial Intelligence
- Networks
My Favorite Hobby
My favorite hobby is MMA. I have been practicing and learning MMA for over 10 years.
It provides a good source of excercise for me, along with being enjoyable.
I have also formed many strong friendships through my experiences.
Greatest Inventions
Fun Fact
I am an Eagle Scout.


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Tic Tac Word is a one-player game that is a cross between tic tac toe and a word game. Or maybe it's a cross between tic tac toe and Family Feud.
Here's how it works:
You'll be presented with an empty tic tac toe board.
You, the user, will be Xs. The computer will be Os.
Start by choosing a square.
You'll be prompted with a word.
Your goal is to guess a word with a highly related meaning to this prompt.
If your guess is in fact highly related to the prompt, you win the square. Otherwise, the computer wins the square.
There's more to this, though, than just winning the square. You will be awarded points for every square you win. How many points? Up to 100 points. How many points you are awarded will depend on two factors: (1) how closely related your guess is to the prompt; (2) how long it takes you to answer.
In order to determine if your guess is closely related to the prompt, we use The Datamuse API. It gives us the top 500 words with a related meaning to the prompt. If your guess is in this list, you win the square and points based on how highly related your guess is to the prompt.
For every second it takes you to answer, we deduct five percent of the meaning related score.
If at any point the tic tac toe board has three Xs in a row, you win. If you allow three Os in a row, you lose.
If you win, 100 points is added to your score. If you lose, 100 points is subtracted by your score.
Winning is great and all, but your goal should be to win with as many points as possible.


This page demonstrates use of legendFormatter, which can be used to create more complex legends than valueFormatter.
legendFormatter
valueFormatter


| DOSE: T+ 0:00 |
1.5 mg |
oral |
Pharms - Clonazepam |
(pill / tablet) |
| T+ 0:00 |
40 mg |
oral |
2C-C |
(powder / crystals) |
| T+ 0:30 |
63 mg |
oral |
2C-C |
(powder / crystals) |
Allright I should warn you right off the bat. I'm on a bit of 2C-C, cannabis, clonazepam, and a couple shots of rum. So bear with me if this isn't the most professional of reports.
Where to begin... well, how about with the fact that I am pretty biased against phenethylamines. They just don't seem to tap into that universal consciouness like mushrooms or LSD can, they seem to offer fewer insights, and the euphoria feels chemically false, or over-stimulating.
With 2C-I, which I tried many times, I was impressed at first. But now, in hindsight, I think that stuff is pretty much useless eye candy with weird body feeling and indigestion.
2C-D seemed promising but after doing 200mg within a short time span, like 4 or 5 hours a few weeks back, I think that even huge doses of this chemical lacked any depth. It's just eye candy, and not even that great of eye candy either. It's stimulating nature made me spend most of this trip, even at 200mg, chatting with people online and such.
I think 2C-B is over-rated garbage. I think it's the worst thing a phenethylamine can become. Pure hedonism and self-destruction rolled in to one. It is a rare example of a psychedelic drug that has pretty much no benefits besides some pushy euphoria.
.............
So tonight I tried 2C-C. I happened to have preloaded with about 1.5mg Klonopin.... which is just slightly over the amount I take each day, although sometimes switching to lower doses of vallum.
But anyway, I am really trying to get at the 2C-C. At first I took 40mg and as soon as I saw it start to manifest I immediately ate the remaining 63mg I had stashed away.
[Erowid Note: 100 mgs of 2C-C is considered a very high dose, see 2C-C Dose Chart]
What followed can best be equated with a 300ug LSD trip... except with less paranoia and a clearer mind.
However! I was really impressed with the 2C-C's ability to trick my mind and convince me of alternate scenarios, times, and places until I snapped out of it and both the drug and I had a good laugh.
The effects on sound are like nothing I've ever heard. Music would go from surround sound, to lo-fi, to computerized beeps and bloops, to static, and back to normal music. It was totally bizarre and unpredictable.
Also I was able to change the sound of the internal voice in my head.... you know just your normal (I hope) thinking-narrative-reading-along internal voice... anyway I could make that sound like anything, mostly weird robots.
The visuals were absolutely stunning. Easily on par with 300ug of LSD, but with its own character. 2C-C is certainly well defined visually compared to other PEAs I've tried.
Also, I felt/saw the presence of a guiding force over my shoulder thoughout the trip. As I write this it still returns occasionally.
........
At least based on my first trial I can only conclude:
At 100mg my body functions felt totally normal, and my pulse was raised maybe 10-15% above normal. Now that I'm very much on the comedown (the trip only lasts about 4-5 hours, it's biggest weakness!) I notice a bit of tension and jitteryness in my body, but it's relatively mild compared to almost any other psychedelic except mushrooms.
....
 I hope more people get a chance to see for themselves.
Experience Reports are the writings and opinions of the individual authors who submit them.
Some of the activities described are dangerous and/or illegal and none are recommended by Erowid.


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Direction: Right - Left. The Navigator is the list of thumbnails. The plugin allow to use the wheelup and wheeldown to previous|next item in the list
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and reward us for our work.
Support new features development by donating!
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If you like it cold, go in December, Oregon’s coldest month. And for a close, low adventure activity choose Forest Park and the Oregon Zoo, or the Japanese or Chinese Garden.
Make sure to bring a good supply of your !
If you like it cold, go in December, Oregon’s coldest month. And, for a close-in advanture, see how far you can hike or trail run the Wildwood Trail.
Make sure to bring a good supply of your !
If you like it warm go anywhere in Oregon in July, the warmest month! For a close, low adventure summer activity choose Forest Park and the zoo, or the Japanese or Chinese Garden.
Make sure to bring a good supply of your !
If you like it warm go anywhere in Oregon in July, the warmest month! For some close-by adventure, see how far you can hike or trail run the Wildwood Trail.
Make sure to bring a good supply of your !
If you like it cold, go in December, Oregon’s coldest month. Head up to Timberline Lodge (and if you can afford it stay overnight and check out their outdoor pool!). If you want an outdoor hot springs where you can enjoy nature in the buff, head to Breitenbush Hot Springs.
Make sure to bring a good supply of your !
If you like it cold, go in December, Oregon’s coldest month. For some high adventure, ski or snowshoe into Trillium Lake and do some winter camping.
Make sure to bring a good supply of your !
If you like it warm, go east of the Cascades in the summer, or go anywhere in Oregon in July, the warmest month! Or, go west and head to the coast: Nothing beats lounging on Short Sands Beach at Oswald West State Park on a sunny summer day. Or head east to the High Desert and go wandering at Criterion Ranch.
Make sure to bring a good supply of your !
If you like it warm, go east of the Cascades in the summer, or go anywhere in Oregon in July, the warmest month! For some high adventure, take a rafting trip down the Clackamas River.
Make sure to bring a good supply of your !
If you like it cold, go in December, Oregon’s coldest month, and better yet go to Seneca, Oregon, in the winter, one of the coldest places in the US. Or, head down to the Oregon Caves where it’s cool all year round!
Make sure to bring a good supply of your !
If you like it cold, go in December, Oregon’s coldest month, and better yet go to Seneca, Oregon, in the winter, one of the coldest places in the US. Or, how about hut to hut skiing in the Wallowas, Oregon’s “Little Switzerland.”
Make sure to bring a good supply of your !
If you like it warm, go east of the Cascades in the summer, or go anywhere in Oregon in July, the warmest month! Get into the view at the Painted Hills or get spacy at Newberry Crater.
Make sure to bring a good supply of your !
If you like it warm, go east of the Cascades in the summer, or go anywhere in Oregon in July, the warmest month! If you want a real adventure, head out to the Owyhee Canyon Lands in Extreme SE Oregon!
Make sure to bring a good supply of your !


Thiem dethrones Zverev to reach London final
London - Dominic Thiem beat defending champion Alexander Zverev on Saturday to join Roger Federer's conqueror Stefanos Tsitsipas in the final of the ATP Finals in London.
The Austrian fifth seed saw off the big-serving German 7-5, 6-3 after Greece's Tsitsipas, making his debut at the tournament, had earlier beaten Federer 6-3, 6-4.
Thiem is playing in his fourth ATP Finals but during his first three trips to the season finale, he won only three matches and never advanced out of the group stage at the O2 Arena.
Zverev landed 75 percent of his first serves but Thiem was tougher in the big moments, breaking in the 12th game of the opening set and in the sixth game of the second set.
The Austrian also saved all four break points on his racquet.
Germany's Zverev, who beat Novak Djokovic in last year's final, went toe to toe with Thiem in a relatively uneventful first set but served a double fault to lose the opener 7-5.
The seventh seed, 22, regrouped and settled back into his serving rhythm at the beginning of the second set but was broken again to trail 4-2.
Thiem, looking unflustered, fended off a couple of break points in the following game and served out to take the match, winning with a forehand down the line.
"This is a big, big dream coming true for me, it is one of the biggest and most prestigious tournaments of the whole year and I'm getting the chance to play the final," said Thiem.
The 26-year-old, who reached the final of this year's French Open, has been considered a clay-court specialist but joked after winning indoors in Vienna last month and now reaching the final in London he was becoming a "big, big fan of faster hard surfaces".
Tsitsipas snuffs out Federer
Earlier, Tsitsipas, 17 years younger than Federer, ended the 38-year-old's hopes of securing a seventh year-end title.
Federer was unrecognisable from the player who dominated Djokovic in his final round-robin match, struggling on serve and hitting a total of 26 unforced errors compared with just five against the Serbian.
But Tsitsipas belied his years with a performance full of confidence and grit, saving 11 out of 12 break points during the match.
"I'm so proud of myself today, a great performance and once again the people were great," he said.
"I really enjoyed myself on the court and sometimes in matches like these you wonder how you recover from difficulties and break point down."
Tsitsipas, ignoring loud support for Federer, broke the Swiss at the first time of asking, taking advantage of two missed overheads.
The Greek was forced to dig deep in a dramatic 13-minute final game of the first set in which he saved two break points and needed seven set points to close it out 6-3.
Federer was in deep trouble when Tsitsipas broke him to love in the third game of the second set but he finally made a break point count to level at 2-2.
Undaunted, Tsitsipas, dominating rallies from the back of the court, broke again straight away with a forehand cross-court winner for a 3-2 lead.
At 5-4 down Federer knew he had to break Tsitsipas for only the second time in the match.
The Greek slipped to 15-40 down but Federer again could not take advantage, spraying a forehand out to give his opponent a match point and he won with a thundering ace.
"I'm frustrated I couldn't play better, and when I did and fought my way back, I threw it away again," said the Swiss.
"It was also parts of him. He did come up with the goods when he had to and he was better than me today."
Results on the seventh day of the ATP Finals at London's O2 Arena on Saturday (x denotes seeding):
Semi-finals
Singles
Stefanos Tsitsipas (GRE x6) bt Roger Federer (SUI x3) 6-3, 6-4
Dominic Thiem (AUT x5) bt Alexander Zverev (GER x7) 7-5, 6-3
Doubles
Raven Klaasen/Michael Venus (RSA/NZL x5) bt Juan Sebastian Cabal/Robert Farah (COL/COL x1) 6-7 (5/7), 7-6 (12/10), 10-6
Pierre-Hugues Herbert/Nicolas Mahut (FRA/FRA x7) bt Lukasz Kubot/Marcelo Melo (POL/BRA x2) 6-3, 7-6 (7/4)


{% include "src/site/includes/header.html" %} {% if includeBreadcrumbs == true %} {% include "src/site/includes/breadcrumbs.html" %} {% endif %}


Colley scores 22 to lead Chicago St. over North Park 79-66
CHICAGO (AP) - Jace Colley had 22 points and 13 rebounds as Chicago State beat Division III North Park University 79-66 on Wednesday night.
Xavier Johnson had 16 points for Chicago State (3-3). Amir Gholizadeh added 14 points.
Lawrence Pointer had 23 points off the bench for the Vikings. Jacquan Binion added 12 points. Matt Szuba had 11 points and nine rebounds.
Chicago State plays Florida State on the road on Monday.
For more AP college basketball coverage: https://apnews.com/Collegebasketball and http://twitter.com/AP_Top25
This was generated by Automated Insights, http://www.automatedinsights.com/ap, using data from STATS LLC, https://www.stats.com
Sign up for Daily Newsletters
Copyright © 2019 The Washington Times, LLC.
Please read our comment policy before commenting.


import dscribe
import numpy as np
import ase
from scipy.spatial.distance import cdist
[docs]class AverageKernel():
"""
Rematch Kernel methods to go from local descriptors
to global similarity
"""
def __init__(self):
return
[docs] def compute_gaussian(self, ave_a,ave_b, gamma = 0.01):
"""Takes two matrices and computes the similarity
based on the gaussian kernel.
"""
return np.exp(-gamma * np.sqrt(((ave_a - ave_b)**2).sum()))
[docs] def distance_matrix_to_gaussian_kernel(self, dist_matrix, gamma = 0.01):
"""Takes a distance matrix and computes the similarity
based on the gaussian kernel.
"""
return np.exp(-gamma * dist_matrix)
[docs] def get_global_distance_matrix(self, desc_list, metric = 'euclidean'):
""" Takes a list of M x N matrices, where M is the number of atoms
in the system and N is the number of features of the descriptor.
The matrices can be of different sizes.
Returns a squared matrix with the size of the given dataset.
Args:
desc_list: list of NAxM matrices of structure A with NA atoms and M features.
metric: Either string of valid cdist metric or custom function
"""
#N = int(len(desc_list))
ave_desc = self.average_descriptor(desc_list)
dist_matrix = cdist(ave_desc, ave_desc, metric = metric)
return dist_matrix
[docs] def average_descriptor(self, desc_list):
"""
Compute the average global similarity between two structures A and B,
as reported in:
Phys. Chem. Chem. Phys., 2016, 18, p. 13768
Takes a list of NA x M matrices, where NA is the number of atoms
in the system and M is the number of features of the descriptor.
The matrices can be of different sizes.
Returns a squared matrix with the size of the given dataset.
Args:
desc_list: list of NAxM matrices of structure A with NA atoms and M features.
Returns:
average_descriptor matrix: NxM matrix with N datapoints and M features
"""
N = len(desc_list)
M = desc_list[0].shape[1]
ave_matrix = np.zeros((N, M), dtype=np.float64)
for idx, structure_matrix in enumerate(desc_list):
ave_matrix[idx] = structure_matrix.mean(axis = 0)
return ave_matrix


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| Number of Classes | Line Coverage | Mutation Coverage |
|---|---|---|
| 8 | 94% | 83% |
| Name | Line Coverage | Mutation Coverage |
|---|---|---|
| DateFormatUtils.java | 97% |
94% |
| DateUtils.java | 96% |
94% |
| DurationFormatUtils.java | 95% |
88% |
| FastDateFormat.java | 87% |
82% |
| FastDateParser.java | 92% |
80% |
| FastDatePrinter.java | 92% |
70% |
| FormatCache.java | 91% |
77% |
| StopWatch.java | 98% |
81% |


GENERAL INFORMATION: Hours: 9am-5pm, Mon-Fri Location: First floor of CAM building, 17 E 102nd St., Room 228 Phone:<PHONE_NUMBER>


2 Samuel 7:25
And now, O LORD God, the word that thou hast spoken concerning thy servant, and concerning his house, establish it for ever, and do as thou hast said.


Also in my research I found that Findstr can also be used to inject a payload into another file as an ADS stream. Findstr.exe is basically a command you use to find strings within files.
More about the binary here: https://ss64.com/nt/findstr.html
The cool thing I figured out was that you can search for a string that does not exist in a file and pipe that into a new file. And the cool thing is that it does allow it to be piped into a ADS stream of a file. It looks like this:
echo "empty file" > c:\ADS\file.txt
findstr /V /L W3AllLov3DonaldTrump c:\ADS\procexp.exe > c:\ADS\file.txt:procexp.exe
wmic process call create '"c:\ADS\file.txt:procexp.exe"'
The /V in the findstr command makes sure that everything that does not match the string I am searching for is showed.


We specialize in wedding photography, corporate, family and senior portraits, often traveling to your destination to capture the perfect moment in the perfect place. From the shores here in Lake Geneva to the beaches of Lake Michigan in Milwaukee and Chicago and beyond. We will be there with you every step of the way to guarantee your special moments are captured for all time.


Playstation 1 style CSS Framework, inspired by NES.css.
Fork me!
Kick! Punch! It's all in the mind.
You see, the island is the site of a secret nuclear weapons disposal facility.
Crash, Crash? Are you there Crash? ... Are you there Crash?


Last Week in ManageIQ: Yet Another move by Euwe
Hello World!
My name is Libor and I am part of Platform Team in Brno.
It’s that time again. Time to recap of last week in ManageIQ!
Featured
This week we were busy with moving last features to Euwe for upcoming Euwe-3 release!
Let’s start typically - with some numbers:
- 88 PRs merged in ManageIQ core repo.
- 47 PRs merged in ManageIQ UI classic controller repo.
- 17 PRs merged in ManageIQ UI Service javascript repo.
- 17 PRs merged in ManageIQ Providers Amazon repo.
- 7 PRs merged in ManageIQ Gems Pending repo.
- 5 PRs merged in ManageIQ Providers VMWare repo.
- 3 PRs merged in ManageIQ Providers Lenovo repo.
- 1 PR merged in ManageIQ Providers Azure repo.
Last line of ruby code in last week have number 253 718
in ManageIQ core repo and 3 810
in ManageIQ UI classic controller repo.
Javascript coders this week added 432 642nd
line.
Last Sprint Review has number 56.
Other Moves
Marcel moved azure settings to azure provider
Adam moved fog-vcloud-director gem to manageiq-providers-vmware gemspec
James moved Credential’s API_ATTRIBUTES to the shared one
Docs
Ladas is showing to us that developer can also create nice documentation. Let’s inspire and look on his documentation for InventoryCollection.new - examples included!
Fixed
Time is most important physical quantity on the world and also Keenan is aware of this fact. It is visible in his peformance PR to speed up for generating widgets.
Beni with his Container TLS fixes is fixing ability to create and edit container’s provider without Hawkular.
Broken chargeback has been fixed by Allen in ManageIQ UI Service repo.
New
Hungarian, Czech and Americans are creating a pull request … it is not begining of joke, they worked together on one PR, concretely they added option for disabling asynchronous notifications.
API is still rapidly improved by Jillian. Her contribution is almost tenth of PRs in ManageIQ repo!
Sharing is good and you mother was right as well as Richard in his PR where he introduced CloudTenancyMixin - it allows to us share tenant functionality also for Cloud Objects.
Daniel modified label_tag_mapping_add to accommodate scoped entity type in his PR Warning!!! The PR is not for people with hexakosioihexekontahexaphobia
Erez added External Logging Link for container nodes.
Deleted
Best code is no code. Our contributors are coding hand by hand with this statement, see their deletions:
- James - Add test coverage for Embedded Ansible and eliminate redundant spec code:
+1,181 −16,115
- Tim - Remove uncalled miq_server lets:
+0 −12
- Robin - Remove unnecessary chart code:
+7 −61
- Nick - Remove
hide_action
patch to StaticController:+0 −5
Should be noted that we like pets and I assure you that Martin has the same view of the matter even when he published PR called Remove dead @cats (No one was harmed during coding/review of this PR)
Wrapping up
That’s it! It was just small summary of our ManageIQ stories - for more fun, take one of issues here. We are looking forward to your pull requests!


This Burp extension provides mock responses that can be customized, based on the real ones.
Create a mock by selecting an entry from HTTP History or craft it manually. Requests are matched by customizable regex rules and forwarded to the local mock server. Mocks can have various behavior, including:
Using this extension it is possible to test how web frontend and mobile clients react to different responses, without making any changes to the backend.
It differs from intercepting responses mainly in two ways:


Responsive Web Design
The following are details outlying the final projects for the Front End Libraries certification from FreeCodeCamp.org
The specific libraries covered in the course work include HTML/HTML5, CSS, Applied Visual Design, Accessibility, a few Web Design Principles and Flexbox/Grid. Original projects are available as Pens on CodePen.com and include the certification tests used to validate each project.
In terms of doing Responsive Mobile First design, I learned the most out of these projects, though not strictly as a result of the coursework's certification process. Because of the nature of Free Code Camp I found its possible to game some of the certifications tests. However, this course has particularly weak testing abilities and each project can be passed with little to no real work being done. I would caution any hiring manager's to be skeptical of anyone presenting this certification and ask to see specific work examples.
As a final note I chose to go back and obtain this certification in the interest of completion. As such many of the projects I completed simply to satisfy the test cases and not to create the best representation of each project. This is particularly noticeable in the Tribute page and the Product Landing page. That said, I more than made up for that by focusing my work in the Portfolio page which serves as the basis of the home page for this site, and the Technical Documentation which serves as the basis for this page and the Front End certification pages on this site.
Please consider contributing to FreeCodeCamp.org so it may continue to provide free access to educational material for software development. I really believe in their mission.
The objective with this project was to create a page with external links and a dynamic sizing image. As you can see I put in the bare amount of work necessary to satisfy the test cases.
This project is a simple form just with the objective of styling most of the standard form components. It doesn't do anything. I spent most of my time on this one trying to figure out how to put a background image and an overlay on top of it while still allowing the primary form to be slightly opaque to view the image through the background.
The objective for this project was to create a page with an embedded Youtube video that sized itself to the window view. I added some extra features around a header and menu that is laid out for Mobile devices then expands to accommodate larger views.
 In the original I designed the navigation tool to display as a scrollable area at the top of the screen in mobile devices. I never was very satisfied with that design, so for these pages I rebuilt the navigation as a drawer in smaller viewports.
I have very minimal JS that opens/closes the drawer. The JS The obvious event hook was on the drawer's onclick, but I also added two hooks to the click on the main body and touching a link.
My only gotcha came as a result of managing the left location of the drawer by both CSS (via media queries) and Javascript (via events). Turns out if one sets a style in Javascript CSS considers it to be an inline style and it will always override any styling that might be driven by CSS media queries. To compensate for this I removed any inline styling on resizing events to allow the CSS Media Queries to regain control.
window.onresize = function resetStyle(event){
let navbar = document.getElementById('navbar')
navbar.style = undefined;
}
The Portfolio project serves as the basis for my home page. I tried to keep the UI very clean and used a hero section to give my a big impact to the first impression. Notice that for mobile breakpoints the "sections" are laid out as column items but spill out to three columns in larger breakpoints.


My address:
Ether
CDKK
BKK
Update
Department:
Employees:
ChildDepartments:
Out of department subtree
Down in subtree
Out of department subtree
Down in subtree
Days
Weeks
Months
Years
Bar
Line
Table of budget / send
Actions
Change budget
Change budget
Transfer internal coin, BKK
Transfers Intern
Transfer to outside, CDKK
Transfer Outside
Set supervisor
Set supervisor
Set supervisor of child
Set supervisor child
Set treasuryaddress
Set treasuryaddress
Create child department
Create child department
Add child department
Add child department
Remove child department
Remove child department
Transfer child department
Transfer child department
Add employee
Add employee
Remove employee
Remove employee


| Name | Description |
| delta |
A redo log disk. This format is only applicable as a destination format
in a clone operation, and not usable for disk creation.
Since vSphere API 5.5
|
| eagerZeroedThick |
An eager zeroed thick disk has all space allocated and wiped clean
of any previous contents on the physical media at creation time.
Such disks may take longer time during creation compared to other
disk formats.
|
| flatMonolithic |
A preallocated monolithic disk. Disks in this format can be used with
other VMware products. This format is only applicable as a destination
format in a clone operation, and not usable for disk creation.
Since vSphere API 4.0
|
| preallocated |
A preallocated disk has all space allocated at creation time
and the space is zeroed on demand as the space is used.
|
| raw |
Raw device.
|
| rdm |
Virtual compatibility mode raw disk mapping. An rdm virtual disk
grants access to the entire raw disk and the virtual disk can
participate in snapshots.
|
| rdmp |
Physical compatibility mode (pass-through) raw disk mapping. An rdmp
virtual disk passes SCSI commands directly to the hardware, but the
virtual disk cannot participate in snapshots.
|
| seSparse |
A sparse (allocate on demand) format with additional space
optimizations.
Since vSphere API 5.1
|
| sparse2Gb |
A sparse disk with 2GB maximum extent size. Disks in this format
can be used with other VMware products. The 2GB extent size
makes these disks easier to burn to dvd or use on filesystems that
don't support large files. This format is only applicable as a
destination format in a clone operation, and not usable for disk
creation.
|
| sparseMonolithic |
A sparse monolithic disk. Disks in this format can be used with other
VMware products. This format is only applicable as a destination
format in a clone operation, and not usable for disk creation.
Since vSphere API 4.0
|
| thick |
A thick disk has all space allocated at creation time. This
space may contain stale data on the physical media. Thick disks
are primarily used for virtual machine clustering, but they are
generally insecure and should not be used. Due to better performance
and security properties, the use of the 'preallocated' format is
preferred over this format.
|
| thick2Gb |
A thick disk with 2GB maximum extent size. Disks in this format
can be used with other VMware products. The 2GB extent size
makes these disks easier to burn to dvd or use on filesystems that
don't support large files. This format is only applicable as a
destination format in a clone operation, and not usable for disk
creation.
|
| thin |
Space required for thin-provisioned virtual disk is allocated and
zeroed on demand as the space is used.
|


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LimitBudgetTerm
org.drip.portfolioconstruction.constraint.
LimitBudgetTermNet
org.drip.portfolioconstruction.constraint.
LimitBudgetTermTransactionCharge
org.drip.portfolioconstruction.constraint.
LimitChargeTermIssuer
org.drip.portfolioconstruction.constraint.
LimitExposureTerm
org.drip.portfolioconstruction.constraint.
LimitExposureTermAbsolute
org.drip.portfolioconstruction.constraint.
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org.drip.portfolioconstruction.constraint.
LimitExposureTermIssuerLong
org.drip.portfolioconstruction.constraint.
LimitExposureTermIssuerNet
org.drip.portfolioconstruction.constraint.
LimitExposureTermIssuerShort
org.drip.portfolioconstruction.constraint.
LimitExposureTermNet
org.drip.portfolioconstruction.constraint.
LimitHoldingsTerm
org.drip.portfolioconstruction.constraint.
LimitHoldingsTermAbsolute
org.drip.portfolioconstruction.constraint.
LimitHoldingsTermIssuer
org.drip.portfolioconstruction.constraint.
LimitHoldingsTermIssuerLong
org.drip.portfolioconstruction.constraint.
LimitHoldingsTermIssuerLongShort
org.drip.portfolioconstruction.constraint.
LimitHoldingsTermIssuerNet
org.drip.portfolioconstruction.constraint.
LimitHoldingsTermIssuerShort
org.drip.portfolioconstruction.constraint.
LimitHoldingsTermIssuerWeightedAverage
org.drip.portfolioconstruction.constraint.
LimitHoldingsTermMinimumPeriod
org.drip.portfolioconstruction.constraint.
LimitHoldingsTermModelDeviation
org.drip.portfolioconstruction.constraint.
LimitNamesTermIssuer
org.drip.portfolioconstruction.constraint.
LimitNamesTermIssuerLong
org.drip.portfolioconstruction.constraint.
LimitNamesTermIssuerShort
org.drip.portfolioconstruction.constraint.
LimitNamesTermIssuerTotal
org.drip.portfolioconstruction.constraint.
LimitRiskTerm
org.drip.portfolioconstruction.constraint.
LimitRiskTermMarginal
org.drip.portfolioconstruction.constraint.
LimitRiskTermVariance
org.drip.portfolioconstruction.constraint.
LimitTaxTerm
org.drip.portfolioconstruction.constraint.
LimitTaxTermGrossGains
org.drip.portfolioconstruction.constraint.
LimitTaxTermGrossLoss
org.drip.portfolioconstruction.constraint.
LimitTaxTermLiability
org.drip.portfolioconstruction.constraint.
LimitTaxTermLongGains
org.drip.portfolioconstruction.constraint.
LimitTaxTermNetGains
org.drip.portfolioconstruction.constraint.
LimitTaxTermNetLoss
org.drip.portfolioconstruction.constraint.
LimitThresholdTermIssuer
org.drip.portfolioconstruction.constraint.
LimitThresholdTermIssuerLong
org.drip.portfolioconstruction.constraint.
LimitThresholdTermIssuerNet
org.drip.portfolioconstruction.constraint.
LimitThresholdTermIssuerShort
org.drip.portfolioconstruction.constraint.
LimitTradesTermIssuer
org.drip.portfolioconstruction.constraint.
LimitTradesTermIssuerBuy
org.drip.portfolioconstruction.constraint.
LimitTradesTermIssuerSell
org.drip.portfolioconstruction.constraint.
LimitTradesTermIssuerTotal
org.drip.portfolioconstruction.constraint.
LimitTurnoverTermIssuer
org.drip.portfolioconstruction.constraint.
LimitTurnoverTermIssuerBuy
org.drip.portfolioconstruction.constraint.
LimitTurnoverTermIssuerNet
org.drip.portfolioconstruction.constraint.
LimitTurnoverTermIssuerSell
org.drip.portfolioconstruction.constraint.
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Christmas at Zoo
Join the animals on a magical Christmas adventure!
What you can see here?
Standard Christmas Theme
Specil events
When can you visit us?
Opening hours
| Monday* | 16:00 - 22:00 |
| Tuesday | 16:00 - 22:00 |
| Wednesday | 16:00 - 22:00 |
| Thursday | 16:00 - 22:00 |
| Friday | 16:00 - 22:00 |
| Sathurday | 16:00 - 22:00 |
| Sunday | 16:00 - 22:00 |


Go Heels!
You have successfully created a pipeline that retrieved this source application from an Amazon S3 bucket and deployed it to three Amazon EC2 instances using AWS CodeDeploy.
For next steps, read the AWS CodePipeline Documentation.
Grab Values0:
Grab Values1:


{% extends "tracker_app/base.html" %} {% load staticfiles %} {% block content_block %} Meals Our database contains {{meals_total_count}} user-created meals. Create a new meal
Our database contains {{meals_total_count}} user-created meals.
Create a new meal
{{meal.description|truncatewords:15}}


A special treat is coming up, when world-renown Iain Aber will be in Los Angeles.
 Andouille ribeye chicken swine. Biltong rump venison.
 Andouille ribeye chicken swine. Biltong rump venison.
 Andouille ribeye chicken swine. Biltong rump venison.
 Andouille ribeye chicken swine. Biltong rump venison.
Not at all. You’ll find that our classes for beginners are the perfect way to build up your overall fitness level regardless of your physical condition. Good luck!
A special treat is coming up, when world-renown Iain Aber will be in Los Angeles.
It is an unfortunate fact that many martial artists suffer from knee pain.
For self-defense, awareness, escape. strategies take precedent over fighting.
© Copyright 2018 All Rights Reserved


Quick Start¶
Sefarad installation is based in docker containers, only requirement is to have docker and docker-compose installed.
For docker installation in Ubuntu, visit this link
Docker-compose installation detailed instructions are available here
Install with docker-compose¶
First of all, you need to clone the Github repository:
$ git clone https://lab.cluster.gsi.dit.upm.es/sefarad/sefarad.git
$ cd sefarad
Finally, it is necessary to change your ElasticSearch configuration folder permissions.
$ sudo chown -R 105 ./elasticsearch/config/
Now the image is ready to run:
$ sudo docker-compose up
Note
In case of failure bringing up the project try to build the image again using sudo docker-compose build and then run it again.
Sefarad visualisation server is now running at port 8080, you can check with your web browser that the dashboard has no data. The url is http://localhost:8080/demos/tourpedia
Loading demo data to visualisation server¶
Loading data has been developed as a Luigi pipeline. We can found all necessary files inside luigi
folder. You can check your Luigi central scheduler in http://localhost:8082. This central scheduler is helpful to check if your tasks are working properly.
Is also possible to configure email alerts in case of failure. This settings can be modified in docker-compose.yml file, inside environment variables for Luigi container.
For this demo first of all, we execute the Luigi pipeline called add_tweet.
There are some required parameters in this pipeline:
- index: Elasticsearch index were data is going to be stored
- doc-type: Elasticsearch doc-type inside the index.
- filename: This is our demo data collected in a JSON file.
After all this considerations, run the pipeline:
$ sudo docker-compose exec luigi python -m luigi --module add_tweets Elasticsearch --index tourpedia --doc-type places --filename add_demo.json
Our Luigi Execution Summary should say:
Scheduled 2 tasks of which:
* 2 ran successfully:
- 1 Elasticsearch(date=XXXX-XX-XX, filename=add_demo.json, index=tourpedia, doc_type=places)
- 1 FetchDataTask(filename=add_demo.json)
This progress looks :) because there were no failed tasks or missing external dependencies
Now is time to check our index in elasticsearch here there should be a line with an index called tourpedia.
Finally, check your Sefarad visualisation environment has data reloading the http://localhost:8080/demos/tourpedia page.


When I first started to experiment with OpenCV, all I found was codes that explain some image processing concept such as Canny Edge Detection, Thresholding, Grabcut Segmentation etc. I thought of doing an end-to-end project which could use all these elements to build an intelligent system. I started using Python and OpenCV after learning some basics from Adrian’s pyimagesearch website. After my professor bought a Robotic Arm, I decided to do Hand Gesture Recognition. You can look at the video of our project here.
Hand gesture recognition is a cool project to start for a Computer Vision enthusiast as it involves an intuitive step-by-step procedure which could be easily understood, so that you could build more complex stuff on top of these concepts.
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How to approach a Computer Vision problem step-by-step?
What is Background Subtraction?
What is Motion Detection?
What is Thresholding?
What are Contours?
How to implement the above concepts in code using OpenCV and Python?
How to segment hand-region effectively from a real-time video sequence?
Prerequisites
I assume that you are familiar with basics of Python, NumPy and OpenCV as they are the prerequisites for this tutorial. If you want to quickly understand core concepts in Python and NumPy, check out my posts here and here. In addition to these, you must be familiar with Image basics (such as pixels, dimensions etc) and some basic operations with images such as Thresholding and Segmentation.
Introduction
Gesture recognition has been a very interesting problem in Computer Vision community for a long time. This is particularly due to the fact that segmentation of foreground object from a cluttered background is a challenging problem in real-time. The most obvious reason is because of the semantic gap involved when a human looks at an image and a computer looking at the same image. Humans can easily figure out what’s in an image but for a computer, images are just 3-dimensional matrices. It is because of this, computer vision problems remains a challenge. Look at the image below.
This image describes the semantic segmentation problem where the objective is to find different regions in an image and tag its corresponding labels. In this case, “sky”, “person”, “tree” and “grass”. A quick Google search will give you the necessary links to learn more about this research topic. As this is a very difficult problem to solve, we will restrict our focus to nicely segment one foreground object from a live video sequence.
Problem statement
We are going to recognize hand gestures from a video sequence. To recognize these gestures from a live video sequence, we first need to take out the hand region alone removing all the unwanted portions in the video sequence. After segmenting the hand region, we then count the fingers shown in the video sequence to instruct a robot based on the finger count. Thus, the entire problem could be solved using 2 simple steps -
- Find and segment the hand region from the video sequence.
- Count the number of fingers from the segmented hand region in the video sequence.
How are we going to achieve this? To understand hand-gesture recognition in depth, I have decided to make this tutorial into two parts based on the above two steps.
The first part will be discussed in this tutorial with code. Let’s get started!
Segment the Hand region
The first step in hand gesture recognition is obviously to find the hand region by eliminating all the other unwanted portions in the video sequence. This might seem to be frightening at first. But don’t worry. It will be a lot easier using Python and OpenCV!
Note: Video sequence is just a collection of frames or collection of images that runs with respect to time.
Before getting into further details, let us understand how could we possibly figure out the hand region.
Background Subtraction
First, we need an efficient method to separate foreground from background. To do this, we use the concept of running averages. We make our system to look over a particular scene for 30 frames. During this period, we compute the running average over the current frame and the previous frames. By doing this, we essentially tell our system that -
Ok robot! The video sequence that you stared at (running average of those 30 frames) is the background.
After figuring out the background, we bring in our hand and make the system understand that our hand is a new entry into the background, which means it becomes the foreground object. But how are we going to take out this foreground alone? The answer is Background Subtraction.
Look at the image below which describes how Background Subtraction works. If you want to write code using C++, please look at this excellent resource. If you want to code using Python, read on.
After figuring out the background model using running averages, we use the current frame which holds the foreground object (hand in our case) in addition to the background. We calculate the absolute difference between the background model (updated over time) and the current frame (which has our hand) to obtain a difference image that holds the newly added foreground object (which is our hand). This is what Background Subtraction is all about.
Motion Detection and Thresholding
To detect the hand region from this difference image, we need to threshold the difference image, so that only our hand region becomes visible and all the other unwanted regions are painted as black. This is what Motion Detection is all about.
Note: Thresholding is the assigment of pixel intensities to 0's and 1's based a particular threshold level so that our object of interest alone is captured from an image.
Contour Extraction
After thresholding the difference image, we find contours in the resulting image. The contour with the largest area is assumed to be our hand.
Note: Contour is the outline or boundary of an object located in an image.
So, our first step to find the hand region from a video sequence involves three simple steps.
- Background Subtraction
- Motion Detection and Thresholding
- Contour Extraction
Implementation
segment.pycode
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# organize imports
import cv2
import imutils
import numpy as np
# global variables
bg = None
First, we import all the essential packages to work with and initialize the background model. In case, if you don’t have these packages installed in your computer, I have posts to install all these packages in Ubuntu and Windows.
segment.pycode
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#--------------------------------------------------
# To find the running average over the background
#--------------------------------------------------
def run_avg(image, aWeight):
global bg
# initialize the background
if bg is None:
bg = image.copy().astype("float")
return
# compute weighted average, accumulate it and update the background
cv2.accumulateWeighted(image, bg, aWeight)
Next, we have our function that is used to compute the running average between the background model and the current frame. This function takes in two arguments - current frame and aWeight, which is like a threshold to perform running average over images. If the background model is None (i.e if it is the first frame), then initialize it with the current frame. Then, compute the running average over the background model and the current frame using cv2.accumulateWeighted() function. Running average is calculated using the formula given below -
\[dst(x,y) = (1-a).dst(x,y) + a.src(x,y)\]- \( src(x,y) \) - Source image or input image (1 or 3 channel, 8-bit or 32-bit floating point)
- \( dst(x,y) \) - Destination image or output image (same channel as source image, 32-bit or 64-bit floating point)
- \( a \) - Weight of the source image (input image)
To learn more about what is happening behind this function, visit this link.
segment.pycode
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#---------------------------------------------
# To segment the region of hand in the image
#---------------------------------------------
def segment(image, threshold=25):
global bg
# find the absolute difference between background and current frame
diff = cv2.absdiff(bg.astype("uint8"), image)
# threshold the diff image so that we get the foreground
thresholded = cv2.threshold(diff, threshold, 255, cv2.THRESH_BINARY)[1]
# get the contours in the thresholded image
(_, cnts, _) = cv2.findContours(thresholded.copy(), cv2.RETR_EXTERNAL, cv2.CHAIN_APPROX_SIMPLE)
# return None, if no contours detected
if len(cnts) == 0:
return
else:
# based on contour area, get the maximum contour which is the hand
segmented = max(cnts, key=cv2.contourArea)
return (thresholded, segmented)
Our next function is used to segment the hand region from the video sequence. This function takes in two parameters - current frame and threshold used for thresholding the difference image.
First, we find the absolute difference between the background model and the current frame using cv2.absdiff() function.
Next, we threshold the difference image to reveal only the hand region. Finally, we perform contour extraction over the thresholded image and take the contour with the largest area (which is our hand).
We return the thresholded image as well as the segmented image as a tuple. The math behind thresholding is pretty simple. If \( x(n) \) represents the pixel intensity of an input image at a particular pixel coordinate, then \( threshold \) decides how nicely we are going to segment/threshold the image into a binary image.
\[x(n) = \begin{cases} 1, & \text{if $n$ >= $threshold$} \\ 0, & \text{if $n$ < $threshold$} \end{cases}\]segment.pycode
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#-----------------
# MAIN FUNCTION
#-----------------
if __name__ == "__main__":
# initialize weight for running average
aWeight = 0.5
# get the reference to the webcam
camera = cv2.VideoCapture(0)
# region of interest (ROI) coordinates
top, right, bottom, left = 10, 350, 225, 590
# initialize num of frames
num_frames = 0
# keep looping, until interrupted
while(True):
# get the current frame
(grabbed, frame) = camera.read()
# resize the frame
frame = imutils.resize(frame, width=700)
# flip the frame so that it is not the mirror view
frame = cv2.flip(frame, 1)
# clone the frame
clone = frame.copy()
# get the height and width of the frame
(height, width) = frame.shape[:2]
# get the ROI
roi = frame[top:bottom, right:left]
# convert the roi to grayscale and blur it
gray = cv2.cvtColor(roi, cv2.COLOR_BGR2GRAY)
gray = cv2.GaussianBlur(gray, (7, 7), 0)
# to get the background, keep looking till a threshold is reached
# so that our running average model gets calibrated
if num_frames < 30:
run_avg(gray, aWeight)
else:
# segment the hand region
hand = segment(gray)
# check whether hand region is segmented
if hand is not None:
# if yes, unpack the thresholded image and
# segmented region
(thresholded, segmented) = hand
# draw the segmented region and display the frame
cv2.drawContours(clone, [segmented + (right, top)], -1, (0, 0, 255))
cv2.imshow("Thesholded", thresholded)
# draw the segmented hand
cv2.rectangle(clone, (left, top), (right, bottom), (0,255,0), 2)
# increment the number of frames
num_frames += 1
# display the frame with segmented hand
cv2.imshow("Video Feed", clone)
# observe the keypress by the user
keypress = cv2.waitKey(1) & 0xFF
# if the user pressed "q", then stop looping
if keypress == ord("q"):
break
# free up memory
camera.release()
cv2.destroyAllWindows()
The above code sample is the main function of our program. We initialize the aWeight to 0.5. As shown eariler in the running average equation, this threshold means that if you set a lower value for this variable, running average will be performed over larger amount of previous frames and vice-versa. We take a reference to our webcam using cv2.VideoCapture(0), which means that we get the default webcam instance in our computer.
Instead of recognizing gestures from the overall video sequence, we will try to minimize the recognizing zone (or the area), where the system has to look for hand region. To highlight this region, we use cv2.rectangle() function which needs top, right, bottom and left pixel coordinates.
To keep track of frame count, we initialize a variable num_frames. Then, we start an infinite loop and read the frame from our webcam using camera.read() function. We then resize the input frame to a fixed width of 700 pixels maintaining the aspect ratio using imutils library and flip the frame to avoid mirror view.
Next, we take out only the region of interest (i.e the recognizing zone), using simple NumPy slicing. We then convert this ROI into grayscale image and use gaussian blur to minimize the high frequency components in the image. Until we get past 30 frames, we keep on adding the input frame to our run_avg function and update our background model. Please note that, during this step, it is mandatory to keep your camera without any motion. Or else, the entire algorithm fails.
After updating the background model, the current input frame is passed into the segment function and the thresholded image and segmented image are returned. The segmented contour is drawn over the frame using cv2.drawContours() and the thresholded output is shown using cv2.imshow().
Finally, we display the segmented hand region in the current frame and wait for a keypress to exit the program. Notice that we maintain bg variable as a global variable here. This is important and must be taken care of.
Executing code
Copy all the code given above and put it in a single file named segment.py. Or else, visit my GitHub link to download this code and save it in your computer. Then, open up a Terminal or a Command prompt and type python segment.py.
Note: Remember to update the background model by keeping the camera static without any motion. After 5-6 seconds, show your hand in the recognizing zone to reveal your hand region alone. Below you can see how our system segments the hand region from the live video sequence effectively.
Summary
In this tutorial, we have learnt about Background Subtraction, Motion Detection, Thresholding and Contour Extraction to nicely segment hand region from a real-time video sequence using OpenCV and Python. In the next part of the tutorial, we will extend this simple technique to make our system (intelligent enough) to recognize hand gestures by counting the fingers shown in the video sequence. Using this, you could build an intelligent robot that performs some operations based on your gesture commands.
References
In case if you found something useful to add to this article or you found a bug in the code or would like to improve some points mentioned, feel free to write it down in the comments. Hope you found something useful here.


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Germany spoil the party for England women's record home crowd
LONDON, Nov 10 — Klara Buhl's late goal gave Germany a 2-1 friendly win over World Cup semi-finalists England yesterday to send home a record crowd for a Lionesses home match disappointed.
Buhl struck with less than a minute remaining on the clock in front of an attendance of 77,768.
That smashed the previous best for an England fixture, but fell short of the best-ever crowd for a women's match in the United Kingdom — when 80,000 saw the USA beat Japan to win gold at the 2012 Olympics.
Organisers had billed the game as a sellout with 86,000 tickets off-loaded, but a dreary and wet day in London may well have put off the less hardy and devoted supporters.
Alexandra Popp had given Germany the lead inside three minutes, with Phil Neville's side failing to level when Nikita Parris missed a penalty.
However, the hosts got back on level terms when Ellen White tucked away the ball before half-time.
“It's a dream come true to play at Wembley for your country and score,” said Manchester City striker White.
“It's unbelievable — the support, the noise, the atmosphere — we are really sorry we couldn't get the result.”
Buhl's late strike means England have lost five of their last seven matches, dating back to their heartbreaking World Cup semi-final defeat by the USA.
“It a was killer blow late on,” said Neville.
“The results are not good enough — there's no hiding away but there's a long-term plan that we have. We have to take the criticisms that come our way and stick together.
“I have been in football long enough and I know I need to take responsibilities, I need to make sure I improve as a manager and the players improve too.” — AFP