OWS - Overloading Within a Subclass
A superclass method may not be overloaded within a subclass unless all overloadings in the superclass are also overridden in the subclass. It is very unusual for a subclass to be overloading methods in its superclass without also overriding the methods it is overloading. More frequently this happens due to inconsistent changes between the superclass and subclass - i.e. the intention of the user is to override the method in the superclass, but due to the error, the subclass method ends up overloading the superclass method.
Wrong
public void oper (char c) {}
public void oper (Object o) {}
}
class Animal {
public void oper (int i) {}
public void oper (Object o) {}
}
Tip: Overload other methods too.
Right
public void oper (char c) {}
public void oper (int i) {}
public void oper (Object o) {}
}
class Animal {
public void oper (int i) {}
}


Average rent in the north rises by three per cent in a year
THE average monthly rent paid across the north has increased by almost three per cent in the past year, a new report suggests.
The HomeLet Rental Index found that the monthly rental average here rose from £653 in October 2018 to £672 (2.9 per cent) last month.
However the UK-wide index hinted at some slowdown in the market, with average rents dipping by 0.1 per cent from September to October 2019.
HomeLet is the largest tenant referencing firm in the UK. It analyses the ability of tenants to rent a property.
Its latest research also suggests that the household rent to income ratio in the north is down over the year. The report indicates that on average, households here were paying 25.9 per cent of income on rent during October 2019, down from 26.6 per cent in October 2018.


Genes borrowed from bacteria allowed plants to move to land
New study shows that gene transfer from bacteria to algae allowed early life to move from water to land
| Source: | University of Alberta |
| Summary: | Natural genetic engineering allowed plants to move from water to land, according to a new study. |
Natural genetic engineering allowed plants to move from water to land, according to a new study by an international group of scientists from Canada, China, France, Germany, and Russia.
"This is one of the most important events in the evolution of life on this planet — without which we as a species would not exist," said Gane Ka-Shu Wong, co-investigator and professor in the Faculty of Science and Faculty of Medicine & Dentistry at the University of Alberta. "The movement of life from water to land — called terrestrialization — began with plants and was followed by animals and then, of course, humans. This study establishes how that first step took place."
The movement of plants from water to land was made possible when genes from soil bacteria were transferred to algae through a process called horizontal gene transfer. Unlike vertical gene transfer, such as the transfer of DNA from parent to child, horizontal gene transfer occurs between different species.
Life on land
"For hundreds of millions of years, green algae lived in freshwater environments that periodically fell dry, such as small puddles, river beds, and trickling rocks," explained Michael Melkonian, professor in the University of Duisburg-Essen in Germany. "These algae mingled with and received key genes from soil bacteria that helped them and their descendants to cope with the harsh terrestrial environment and eventually evolve into the land plant flora that we see today."
The study is part of an international project focused on sequencing the genomes of more than 10,000 plant species. The discovery was made in the process of sequencing two particular algae, one of them a new species (Spirogloea muscicola) being introduced to the community through this publication.
"The approach that we used, phylogenomics, is a powerful method to pinpoint the underlying molecular mechanism of evolutionary novelty," said Shifeng Cheng, first author and principal investigator from Agricultural Genome Institute at Shenzhen, Chinese Academy of Agricultural Sciences.
make a difference: sponsored opportunity
Story Source:
Materials provided by University of Alberta. Original written by Katie Willis.
Note: Content may be edited for style and length.
Journal Reference:
- Shifeng Cheng, Wenfei Xian, Yuan Fu, Birger Marin, Jean Keller, Tian Wu, Wenjing Sun, Xiuli Li, Yan Xu, Yu Zhang, Sebastian Wittek, Tanja Reder, Gerd Günther, Andrey Gontcharov, Sibo Wang, Linzhou Li, Xin Liu, Jian Wang, Huanming Yang, Xun Xu, Pierre-Marc Delaux, Barbara Melkonian, Gane Ka-Shu Wong, Michael Melkonian. Genomes of Subaerial Zygnematophyceae Provide Insights into Land Plant Evolution. Cell, 2019; 179 (5): 1057 DOI: 10.1016/j.cell.2019.10.019
Cite This Page:
| MLA | University of Alberta. "Genes borrowed from bacteria allowed plants to move to land: New study shows that gene transfer from bacteria to algae allowed early life to move from water to land." ScienceDaily. ScienceDaily, 14 November 2019. <www.sciencedaily.com/releases/2019/11/191114115928.htm>. |
| APA | University of Alberta. (2019, November 14). Genes borrowed from bacteria allowed plants to move to land: New study shows that gene transfer from bacteria to algae allowed early life to move from water to land. ScienceDaily. Retrieved November 16, 2019 from www.sciencedaily.com/releases/2019/11/191114115928.htm |
| Chicago | University of Alberta. "Genes borrowed from bacteria allowed plants to move to land: New study shows that gene transfer from bacteria to algae allowed early life to move from water to land." ScienceDaily. www.sciencedaily.com/releases/2019/11/191114115928.htm (accessed November 16, 2019). |


This sample demonstrates how to call Windows.Security.Authentication.OnlineId APIs to authenticate a user with Microsoft Account and use JWT tokens.
To setup the sample server that parsers JWT token, navigate to the Server folder in MicrosoftAccount samples and change the Web.config file.
When you register your application at https://manage.dev.live.com/Applications specify the values of
'Client ID', 'Client secret' and 'Redirect domain' in Web.config file.
The C# sample is configured to work with the sample server.
To sign out from the application, go to the Sessings charms.


This project is hosted on GitHub.
Some examples of how to use the library may be found in the guide.
Beside the JAR file of this project, ensure to have also the Apache Commons Logging library in your classpath.
Requires Java SE 8 or higher.
Copyright (c) 2009 - 2021, Uwe Finke. All rights reserved.
Subject to BSD License.


Eye Makeup Tutorial
Your cosmetics are as critical to your completed look as the garments you wear, truth be told, it can really be increasingly significant. We’ve every single spotted lady who hadn’t the foggiest how to apply their eye shadow. Be that as it may, we’ve additionally observed ladies who realize how to apply it appropriately and they look to set up and wonderful. Don’t you need to be one of those ladies? Obviously - and we are going to give you some top tips so you can do only that.
Incredible news - putting your eye shadow on accurately truly isn’t troublesome in any way. It truly is simply a question of finding the correct procedure and search for you and your own style. Try not to stress on the off chance that it takes a couple of attempts to hit the nail on the head. Look at these tips:
1-Continuously apply a base coat on your eyes similarly as you never really rest of your face. The free force works or you can apply your establishment to the eye territory. It gives a decent even palette to work with.
2- Mix, mix, and afterward mix some more. I feel compelled to pressure this as much as possible. Attempt an analysis. Mix one eye and afterward simply utilize a brush and apply the other eye. You’ll in a split second hear what I’m saying and you’ll always remember to mix once more.
3- In the event that you need sensational eyes, take your eye shadow brush, dunk it into the water, and afterward into the shadow, at that point apply. It will give you a lot further, emotional shading.
4- In the event that you have blue eyes, sport purple, violet, beige, dim, dark blue, and dark. Crazy hues incorporate fuchsia, turquoise, and silver.
5- In the event that you have green eyes, sport purple, plum, woods green, earthy colored, and khaki. Crazy hues incorporate light green, gold, and splendid purple.
6- In the event that you have earthy colored eyes, sport champagne, copper, earthy colored, apricot, khaki, and beige. Out of control hues incorporate regal blue, tangerine, hand hot pink.
7- Everybody can wear naval force, powder blue, and charcoal. Fun hues incorporate silver.
8- Apply a lighter shadow in the internal corner of the eye to reflect and make your eyes look more youthful.
9- In the event that you need your eyes to seem bigger utilize a light shading on the internal corner, and a darker shade in the eye region.
10- Practice until you get the utilization of your eye shadow down to a science. At the point when you get great, your make up will look progressively regular and increasingly cleaned.
11- Apply your dull shadow just to the eyelids from the lash line to the wrinkle in the eyelid. Apply your medium shadow from just underneath the eyelid wrinkle to the forehead bone.
12- Feature along the forehead bone. Doing it along these lines will make your highlights stand apart normally and flawlessly.
So there you have it. With these top tips, you presently realize how to apply your eye shadow so you will put your best self forward.
Recollect that while you’re rehearsing every one of these means, that you should pay heed to what works best for you. Practice without anyone else, or practice with a companion on the off chance that you think that it’s simpler to ask another person’s assessment.
Also, one more thing. On the off chance that you make your face progressively energetic looking with wrinkle creams that give results, at that point any make up that you have will be quite a lot more successful. So pull out all the stops and escape!


Previous: The Enabled Tag
Smudge: The Geometry Tag
< Geometry> allows the setting of the size and position of Frames,
Boxes, Buttons,
Lines(and Line Titles), CheckBoxes and
RadioButtons. The tag takes four parameters, the Xorigin, the Yorigin, the Xsize and the Ysize. The origin gives the position relative to the container within which the current element is
set. All values are given in pixels. The tag has the form
< Geometry> Xorigin Yorigin Xsize Ysize < /Geometry>
Note that the parameters are space delimited.
Next: The Origin Tag
Back to Smudge Contents
Last modified: Fri Jan 25 14:30:50 GMT 2002


concrete.css
A simple and to the point CSS microframework
What is this ?
This is a CSS microframework, built for lightness and simplicity.
Concrete can be a great starting point for a simple website.
It also switches to a dark theme if your OS uses one.
Best used in pair with normalize.css.
Get Started
In your HTML <head>
Just drop these lines into your HTML head.
{% highlight html %} {% endhighlight %}In your javascript project
Add the dependencies:
{% highlight bash %} yarn add normalize.css concrete.css {% endhighlight %}Import them somewhere in your code:
{% highlight js %} import 'normalize.css' import 'concrete.css' {% endhighlight %}Typography
Concrete does not redefine headings, although normalize does. This is what you can expect:
h1 heading
h2 heading
h3 heading
h4 heading
h5 heading
h6 heading
I can simply be a paragraph.
I can be a link.
I can be bold.
I can be underlined.
I can be emphasised.
I can be small.
h1 heading
h2 heading
h3 heading
h4 heading
h5 heading
h6 heading
I can simply be a paragraph.
I can be a link.
I can be bold.
I can be underlined.
I can be emphasised.
I can be small.
{% endhighlight %}Buttons
{% highlight html %} a link button a filled link button {% endhighlight %}
Images
Simply add an image tag, and voilà !
{% highlight html %} {% endhighlight %}Lists
The concrete list is simply marked by a square.
- Unordered element 1
- Unordered element 2
- Ordered element 1
- Ordered element 2
- Description element 1
- Description element 1.1
- Unordered element 1
- Unordered element 2
- Ordered element 1
- Ordered element 2
- Description element 1
- Description element 1.1
Forms
{% highlight html %} {% endhighlight %}Tables
| Name | Year | Size | Comment |
|---|---|---|---|
| Skeleton | 2011 | 5.7kB | Awesome |
| Milligram | 2015 | 8.3kB | Amazing |
| Name | Year | Size | Comment |
|---|---|---|---|
| Skeleton | 2011 | 5.7kB | Awesome |
| Milligram | 2015 | 8.3kB | Amazing |
Blockquotes
"I'm quoting myself" - Louis Merlin
{% highlight html %}
"I'm quoting myself" - Louis Merlin
{% endhighlight %}
Progress Bar
{% highlight html %} {% endhighlight %}Break line
{% highlight html %}
{% endhighlight %}


---
layout: default
redirect_from: "/fuzion"
---
Fuzion League
Event Information
- League Start Date: November 1st, 2018
- League End Date: April 29th, 2019
- Event Days & Times
- Wednesday Time Trial League, 18:35 GMT
- Thursday Criterium League, 19:20 GMT
- Saturday Criterium Training Race, 18:40 GMT
- Sunday Iron Goat League, 19:00 GMT
- Duration: 8 weeks
- Categories
- 4.0W/kg and OVER
- 3.2W/kg to 3.99W/kg
- 2.5W/kg to 3.19W/kg
- 2.49W/kg and UNDER
- Race Rules
- Riders going over 5W/kg at 95% of 20 minute power will be removed from results.
- Riders going over 6W/kg for 5 minute power will be removed from results.
- Heart rate monitors advised to be worn by all participants.
- Only powermeter and smart trainer users eligible for official result placement.
- All bikes permitted, except for TT league (TT bikes only).
- No powerups permitted.
- Official results located at ZwiftPower.
- Points
- Points structure: 50, 49, 48 ⇒ 1.
- Points are culled based on the number of finishing participants.
- All participants finishing outside of the top 50 score 1 point.
- Points scoring applied to each category.
- Points Rules
- Points can only be earned in the correct category a participant races in.
- Racing in an incorrect category will void any points accrued.
- Points will not carry over when a rider changes category during a current league.
- Best 6 of 8 rounds count towards final standings.
- Mid-League Upgrades
- Riders going over category limits will be automatically upgraded in the official results.
- When a rider has been automatically upgraded, they are expected to race in their new
category for all future events.
League Standings
{% include standings.html riders=site.data.fuzion teams=site.data.fuzionteam %}


NODE A CHANNEL
key:
My ID is:
key is:
Receiving messages from:
______________________________________
NODE B CHANNEL
key:
My ID is:
key is:
Receiving messages from:
______________________________________
NODE C CHANNEL
key:
My ID is:
key is:
Receiving messages from:
______________________________________
Text to send:
Text fetched:
Part1:
Part2:
Part3:


--- layout: post title: Added four years of records to Business Licenses date: '2015-02-11T23:46:00-06:00' author: Open Data Portal Team categories: - Open Data - Data Portal tags: - r5kz-chrr - business licenses - revision ---
We have expanded the beginning Date Issued in the Business Licenses dataset to 1/1/2002. It previously began at 1/1/2006.
As part of this change, we also upgraded the process that updates the dataset daily. All indications are that the new process is working properly but please let us know if you find any issues.


This trope describes a character that just loves sleeping. They frequently take naps and may outright consider sleeping to be an art or hobby.
Often they will take their going to sleep routine very seriously because for them, it's a ritual. What they eat and drink before going to bed is important — a glass of warm milk is common. They are likely to wear nice pyjamas and perhaps even a nightcap. They will pay attention to the place where they sleep: a nice couch at the office will do just fine, but at home, they will have a good bed with fluffy pillows, a nice comforter, and clean, freshly washed sheets. A sweet pet bed is a variant for animals. They will often beg for Five More Minutes when woken up or violently attack the awaker.
The reasons for this vary: They might really dislike active lifestyle and action-oriented hobbies. They can be fond of vivid dreams and extra adventures and memories they provide. They might be aware that lack of sleep will make them cranky and annoying. Perhaps they just love how fresh and alert they feel when they wake up after a really good night's sleep. It might help them to focus. Or they can be simply too lazy for other hobbies and interests. They might be The Sleepless who really longs to sleep.
Compare Big Eater who has a similar attitude towards eating and often has this trait. Often overlaps with Heavy Sleeper (hard to wake up), Sleepyhead (dozes off often, whether they want to or not), An Odd Place to Sleep (falling asleep in at almost any place), and Not a Morning Person (people who dislike waking up and morning routines).
Examples:
- Leji, the school teacher from Haré+Guu, typically tries to make the school days revolve around naps. His name is a Meaningful Name as it sounds like the Japanese pronunciation of "Lazy".
- Rukawa from Slam Dunk declares sleeping to be his hobby.
- This is the premise of Saeki San Wa Nemutteru. Class rep Saeki loves to sleep, which stems from many happy memories of taking naps with her father as a child. She will constantly try to find ways to sneak naps during the day to the point of having worked out which teachers it's easy to get away with sleeping in class with. Male lead Tokiwa notices her in the first chapter using an eraser and ruler stuffed down her shirt to prop her head up so it doesn't droop and give her away. It's a Running Gag that the idea of simply not sleeping is never a consideration.
- Kumin of Love, Chunibyo & Other Delusions isn't only a Sleepyhead; she intends to establish a Japanese School Club for napping as well.
- The princess from Sleepy Princess in the Demon Castle takes this to Idiosyncrazy levels. Everything she does is related to her getting a good night's sleep.
- The Doraemons has El Matadora, whose hobby is siesta (napping), and can even start napping in the midst of danger.
- In Pleasant Goat and Big Big Wolf, sleeping, along with eating, are Paddi's two favorite things to do.
- One of the defining characteristics of Donald Duck, alongside his Hair-Trigger Temper and Big Eater tendencies. Taken Up to Eleven by Don Rosa in his story The Quest for Kalevala, where Donald is allowed early entrance into the Land of the Dead because he is such a devotee of sleep, allowing him and Scrooge to find a lost piece of the Sampo.
- Garfield: Garfield is very fond of his catnaps. Sleeping and eating lasagne are his major hobbies.
- Beetle Bailey. The title character is a private in the U.S. Army. He tries to sleep as late as possible in the morning (regularly having to be dragged out of bed) and tries to nap during the day whenever possible.
- Peanuts: Snoopy was quite the connoisseur of naps. Best exemplified in one strip where he bemoans "I missed the golden age of radio. I missed the golden age of films. I missed the golden age of movies. I refuse to miss the golden age of sleeping!"
- Belgian comic Yakari has the beaver Bois-de-Lit (literally 'Bedwood'), who tries and sleep on every single surface he finds: a branch, grass, rocks, a pony's back... as soon as he settles somewhere he falls asleep and it takes a lot of yelling to wake him up again.
- The defining characteristic of Sleeping Beauty as portrayed in Shrek the Third. She loves sleeping because she's always very sleepy. She has narcolepsy.
- Princess Aurora of Disney's Sleeping Beauty is regularly shown dozing off in Ralph Breaks the Internet, and her Fun T-Shirt reads "Nap Queen".
- In the Indie hit Mystery Train, Mitsuko explains her deep, abiding love of sleep, adding, "and when I die, I'll never sleep again".
- The Long Dark Tea-Time of the Soul: Odin really likes sleeping in the old folks home he's in. When he's not sleeping he's thinking about sleeping, or his bed, or fresh linens.
- In Harry Turtledove's Ruled Britannia, Diego, the only servant of the Spanish playwright and soldier Lope, finds every excuse to sleep that he can, and seems to consider it his primary hobby.
- In Diary of a Wimpy Kid, this applies to all three Heffley brothers:
- Greg dislikes waking up early and often takes naps in the afternoon to feel rested.
- Rodrick likes napping even more than Greg and once accidentally napped for a day and a half.
- Manny hates being woken up from his naps.
- The Heroes of Olympus has Clovis, son of the god of sleep, Hypnos. He's perpetually sleepy and frequently dozes off. Because of this, he's extremely knowledgeable about the nature of dreams and the gods, attempting to use his powers to restore Jason's missing memories before informing him that they were stolen by the gods rather than suppressed.
- Sir Simon of The Canterville Ghost is a ghost. It turns out he's The Sleepless who hasn't slept for three hundred years, but he longs to go to sleep and dreamily describes a beautiful garden where he could sleep in peace. Virginia soon realizes he talks about death and eternal sleep.
Sir Simon: Far away beyond the pine-woods, there is a little garden. There the grass grows long and deep, there are the great white stars of the hemlock flower, there the nightingale sings all night long. All night long he sings, and the cold crystal moon looks down, and the yew-tree spreads out its giant arms over the sleepers.
Virginia: [whispering] You mean the Garden of Death.
Sir Simon: Yes, death. Death must be so beautiful. To lie in the soft brown earth, with the grasses waving above one's head, and listen to silence. To have no yesterday, and no to-morrow. To forget time, to forget life, to be at peace. - The Leader Eldon from The Cold Moons is a badger who loves to eat and sleep. He's a less-than-stellar leader due to his laziness.
- The Mentalist: Patrick Jane, the CBI consultant, is really fond of his rather shabby leather couch that he keeps in the sleek-looking office and he loves lying there and taking naps. This half-sleeping, half-lucid state of mind helps him to solve cases.
- Brooklyn Nine-Nine: Detectives Scully and Hitchcock are Those Two Guys, bumbling around the office and waiting the time out until their retirement. Their only skills and interests are eating, sitting and sleeping. They have a special fondness for a rather old couch in their break room and when the precinct gets a new one, they immediately try to make it as shabby (and comfortable) as the old one. They have a secret nap room (soundproof for maximum privacy). Scully can also fall asleep at will while sitting by his desk.
- Red Dwarf: The Cat, a humanoid creature, the last known member of felix sapiens note . He's known for his fashion sense, good looks and sex appeal, and he loves eating and sleeping — especially in the first and second series. In "Confidence and Paranoia", he's satisfied with his day because he's eaten five times, slept six times, and made a lot of things his. In "Queeg", he claims he has to nap nine or ten times a day, otherwise he won't have enough energy for his main snooze.
- Crazy Ex-Girlfriend, "Trent": In the song "Buttload of Cats" ("Fuckton of Cats" in the explicit version) about becoming a Crazy Cat Lady, it's mentioned that cats sleep about 16 hours a day. Because they're so fond of sleeping, they're less than ideal pets.
- Lalaloopsy: Pillow Featherbed loves sleeping. She always wears pyjamas and always ends up curled up, falling fast asleep. Her name is based on her favorite things she possesses and which she can fall asleep on - her nice feathery bed and her comfy pillow.
- Lyner Barsett from EXA_PICO considers sleeping to be one of the most enjoyable activities there is.
- Meitenkun of The King of Fighters XIV belongs to the protagonist Shun'ei's team. He likes to sleep whenever he can, sometimes during fights even. His hobby is "getting back to sleep for the 5th time", and his fighting style is called "Eight Extremities Sleeping Fist". However, he's a surprisingly strong fighter whom Shun'ei struggles to beat every time they spar.
- Pokémon:
- Snorlax. It spends much of its time sleeping, being nearly impossible to wake up. It will only wake up on its own to do the one thing it likes to do more than sleeping, and that is eating. Once it's eaten an upwards of 880 lbs of food in one sitting, it promptly goes back to sleep.
- Abra is said to sleep 18 hours a day.
- Komala from Generation VII is the most extreme example of this in Pokémon to date. It outright never wakes up, doing everything — like eating, battling, and even breeding — while fast asleep.
- In The Elder Scrolls IV: Oblivion, a suicidal man standing on a cliff muses that death must be "like flying- and then suddenly falling into a deep, blissful sleep". However, if the player takes him at his word, he will scream in shock as he falls.
- Linhardt von Hevring from Fire Emblem: Three Houses is a Brilliant, but Lazy student of the Officer's Academy whose two chief loves are Crest research and sleeping. He complains that taking any action outside of what interests him, even talking, leaves him exhausted to where he'll fall asleep standing up.
- Lillian from Go Get a Roomie! sees sleeping (or dreaming to be precise) as the sole purpose of existence, at least until she meets Roomie and even then Roomie is only able to get through to her after expressing interest in her dreams.
- Brak from The Brak Show. Once he can be heard muttering between snores, "MAN, I love sleeping. I wish I could wake up so I could go back to sleep again."
- In Martha Speaks, Martha the dog really likes to take naps.
- Gems in Steven Universe never need to sleep, and so they only do it for recreation.
Steven: I thought Gems don't need sleep.
Amethyst: We don't. Feels good though.


Defines | |
| #define | BINOMIAL_HEAP_NULL ((void *) 0) |
| A null BinomialHeapValue. | |
Typedefs | |
| typedef void * | BinomialHeapValue |
| A value stored in a BinomialHeap. | |
| typedef int(* | BinomialHeapCompareFunc )(BinomialHeapValue value1, BinomialHeapValue value2) |
| Type of function used to compare values in a binomial heap. | |
| typedef struct _BinomialHeap | BinomialHeap |
| A binomial heap data structure. | |
Enumerations | |
| enum | BinomialHeapType { BINOMIAL_HEAP_TYPE_MIN, BINOMIAL_HEAP_TYPE_MAX } |
| Heap type. More... | |
Functions | |
| BinomialHeap * | binomial_heap_new (BinomialHeapType heap_type, BinomialHeapCompareFunc compare_func) |
| Create a new BinomialHeap. | |
| void | binomial_heap_free (BinomialHeap *heap) |
| Destroy a binomial heap. | |
| int | binomial_heap_insert (BinomialHeap *heap, BinomialHeapValue value) |
| Insert a value into a binomial heap. | |
| BinomialHeapValue | binomial_heap_pop (BinomialHeap *heap) |
| Remove the first value from a binomial heap. | |
| int | binomial_heap_num_entries (BinomialHeap *heap) |
| Find the number of values stored in a binomial heap. |
A binomial heap is a heap data structure implemented using a binomial tree. In a heap, values are ordered by priority.
To create a binomial heap, use binomial_heap_new. To destroy a binomial heap, use binomial_heap_free.
To insert a value into a binomial heap, use binomial_heap_insert.
To remove the first value from a binomial heap, use binomial_heap_pop.
| typedef int(* BinomialHeapCompareFunc)(BinomialHeapValue value1, BinomialHeapValue value2) |
Type of function used to compare values in a binomial heap.
| value1 | The first value. | |
| value2 | The second value. |
| enum BinomialHeapType |
Heap type.
If a heap is a min heap (BINOMIAL_HEAP_TYPE_MIN), the values with the lowest priority are stored at the top of the heap and will be the first returned. If a heap is a max heap (BINOMIAL_HEAP_TYPE_MAX), the values with the greatest priority are stored at the top of the heap.
| void binomial_heap_free | ( | BinomialHeap * | heap | ) |
Destroy a binomial heap.
| heap | The heap to destroy. |
| int binomial_heap_insert | ( | BinomialHeap * | heap, | |
| BinomialHeapValue | value | |||
| ) |
Insert a value into a binomial heap.
| heap | The heap to insert into. | |
| value | The value to insert. |
| BinomialHeap* binomial_heap_new | ( | BinomialHeapType | heap_type, | |
| BinomialHeapCompareFunc | compare_func | |||
| ) |
Create a new BinomialHeap.
| heap_type | The type of heap: min heap or max heap. | |
| compare_func | Pointer to a function used to compare the priority of values in the heap. |
| int binomial_heap_num_entries | ( | BinomialHeap * | heap | ) |
Find the number of values stored in a binomial heap.
| heap | The heap. |
| BinomialHeapValue binomial_heap_pop | ( | BinomialHeap * | heap | ) |
Remove the first value from a binomial heap.
| heap | The heap. |


Who We Are
We're a smart, passionate group of people who work really hard so you don't have to. We strive to make our tools powerful enough for professional researchers, yet easy enough for a survey novice. And we pack our solutions with years of experience in survey methodology and web technology so you can be confident in the quality of the data
Our Mission
We want to help you make better decisions. That's it. That's all. That's what drives us. We want to make it as easy as possible for you to get at the knowledge you need to make smart, informed choices. And after 10 years, we are still challenging ourselves to deliver simple, powerful solutions. We are dedicated to making even the most advanced research design easy enough for anyone and everyone to use.
What We Care The Most
- Our Customers
We offer round the clock support and spend every waking hour striving to make their experience better. And they seem to appreciate it, as our satisfaction rating is up to the mark.
-
Knowledge For Everyone
We believe everyone deserves easy access to the information they need to make better decisions. Budgets, timelines and logistics should not get in the way. That's why we created the simple, cost-effective and self-serve solution.
- Privacy and security
We use SSL encryption and multi-machine backup to keep your data safe and secure.


Home
Pages
Login
Login
username
*
Password
*
Remember me
Forget Password?
Login
Important
Information
Duis autem vel eum iriure at dolor vulputate velit esse vel molestie at dolore.
More details


What is Bitcoin?
Bitcoin is a new kind of money. It’s the first decentralized electronic currency not controlled by a single organization or government. It’s an open source project, and it is used by more than 100,000 people. All over the world people are trading hundreds of thousands of dollars worth of bitcoin every day with no middle man and no credit card companies. It’s a startup currency which has never happened before.
Bitcoin is the first digital currency that is completely distributed. The network is made up of users like yourself so no bank or payment processor is required between you and whoever you’re trading with. This decentralization is the basis for Bitcoin’s security and freedom.
Email let us send letters for free, anywhere in the world. Skype lets us make phone and video calls for free, anywhere in the world. Now there’s bitcoin. Bitcoin lets you send money to anyone online, anywhere in the world for less than a cent per transaction! Bitcoin is a community run system not controlled by any bank or government. There’s no wallstreet banker getting rich by standing between you and the people you want to send and receive money from.
Bitcoin is more efficient than all competing currencies. This will drive its adoption in the same way computers were adopted, in that computers made people more efficient in competing in the marketplace. A currency has value by it being widely used. Bitcoin is a startup currency with a deflationary bootstrapping economy. Its use spreads by providing the speculator incentive.
Bitcoin is going to be the biggest opportunity for innovation that the world has seen since the industrial revolution. An idea whose time has come. - We Use Coins
Now that’s out of the way, let’s move on.
Bitcoin Mining
Back in the early days you could mine Bitcoin on your CPU as a small time operation. They were pretty worthless, so not many people jumped on. Then the value grew and people wanted more and more, so they invested in bigger setups and the power needed to mine grew and grew. Now we have people producing specialised hardward (ASIC).
Well I have moved all my mining operations from my home mining rigs over to Pyramining.
Why have I done this?
Because the price tag for mining is just too damn high! Also Butterfly Labs is a scam and will never deliver!
How does it work?
It’s pretty simple. You register and enter the address you want them to pay you to. They then give you an address to send Bitcoin to. They use your bitcoin to buy mining equipment and mine on your behalf.
They obviously get to keep the hardware when your time runs out and they can use this to fund themselves. So it’s win-win if you ask me. No more stupidly high electricity bills and noise of mining rigs running.
Disclosure
Pyramining requires you have a referrer to sign up. They do not allow you to register without one. The links I have included in this post are with my referal link and I will gain a small fee for you signing up.
If you don’t believe me, you are welcome to visit Pyramining without the referal link.


Chapter 6 Data manipulation
About two hours in this exam will be spent just on data manipulation. Putting in extra practice in this area is garanteed to give you a better score because it will free up time that you can use elsewhere.
Suggested reading of R for Data Science (https://r4ds.had.co.nz/index.html):
| Chapter | Topic |
|---|---|
| 9 | Introduction |
| 10 | Tibbles |
| 12 | Tidy data |
| 15 | Factors |
| 16 | Dates and times |
| 17 | Introduction |
| 18 | Pipes |
| 19 | Functions |
| 20 | Vectors |
All data for this book can be accessed from the package ExamPAData
. In the real exam, you will read the file from the Prometric computer. To read files into R, the readr package has several tools, one for each data format. For instance, the most common format, comma separated values (csv) are read with the read_csv()
function.
Because the data is already loaded, simply use the below code to access the data.
6.1 Look at the data
The data that we are using is health_insurance
, which has information on patients and their health care costs.
The descriptions of the columns are below. The technical name for this is a “data dictionary”, and one will be provided to you on the real exam.
age
: Age of the individualsex
: Sexbmi
: Body Mass Indexchildren
: Number of childrensmoker
: Is this person a smoker?region
: Regioncharges
: Annual health care costs.
head()
shows the top n rows. head(20)
shows the top 20 rows.

Using a pipe is an alternative way of doing this. Because this is more time-efficient, this will be the preferred method in this manual.
The glimpse
function is a transpose of the head()
function, which can be more spatially efficient. This also gives you the dimension (1,338 rows, 7 columns).
## Observations: 1,338
## Variables: 7
## $ age <dbl> 19, 18, 28, 33, 32, 31, 46, 37, 37, 60, 25, 62, 23, 5...
## $ sex <chr> "female", "male", "male", "male", "male", "female", "...
## $ bmi <dbl> 27.900, 33.770, 33.000, 22.705, 28.880, 25.740, 33.44...
## $ children <dbl> 0, 1, 3, 0, 0, 0, 1, 3, 2, 0, 0, 0, 0, 0, 0, 1, 1, 0,...
## $ smoker <chr> "yes", "no", "no", "no", "no", "no", "no", "no", "no"...
## $ region <chr> "southwest", "southeast", "southeast", "northwest", "...
## $ charges <dbl> 16884.924, 1725.552, 4449.462, 21984.471, 3866.855, 3...
One of the most useful data science tools is counting things. The function count()
gives the number of records by a categorical feature.
## # A tibble: 6 x 2
## children n
## <dbl> <int>
## 1 0 574
## 2 1 324
## 3 2 240
## 4 3 157
## 5 4 25
## 6 5 18
Two categories can be counted at once. This creates a table with all combinations of cut
and color
and shows the number of records in each category.
## # A tibble: 8 x 3
## region sex n
## <chr> <chr> <int>
## 1 northeast female 161
## 2 northeast male 163
## 3 northwest female 164
## 4 northwest male 161
## 5 southeast female 175
## 6 southeast male 189
## 7 southwest female 162
## 8 southwest male 163
The summary()
function is shows a statistical summary. One caveat is that each column needs to be in it’s appropriate type. For example, smoker
, region
, and sex
are all listed as characters when if they were factors, summary
would give you count info.
 For those Excel users out there, this can be interpreted as “what Pivot tables, VLOOKUP, INDEX/MATCH, and SUMIFF do”.
R syntax is designed to be similar to SQL. They begin with a SELECT
, use GROUP BY
to aggregate, and have a WHERE
to remove records. Unlike SQL, the ordering of these does not matter. SELECT
can come after a WHERE
.
R to SQL translation
select() -> SELECT
mutate() -> user-defined columns
summarize() -> aggregated columns
left_join() -> LEFT JOIN
filter() -> WHERE
group_by() -> GROUP BY
filter() -> HAVING
arrange() -> ORDER BY
## # A tibble: 6 x 2
## age region
## <dbl> <fct>
## 1 19 southwest
## 2 18 southeast
## 3 28 southeast
## 4 33 northwest
## 5 32 northwest
## 6 31 southeast
Tip: use CTRL + SHIFT + M
to create pipes %>%
.
Let’s look at only those in the southeast region. Instead of WHERE
, use filter
.
## # A tibble: 6 x 2
## age region
## <dbl> <fct>
## 1 18 southeast
## 2 28 southeast
## 3 31 southeast
## 4 46 southeast
## 5 62 southeast
## 6 56 southeast
The SQL translation is
Instead of ORDER BY
, use arrange
. Unlike SQL, the order does not matter and ORDER BY
doesn’t need to be last.
## # A tibble: 6 x 2
## age region
## <dbl> <fct>
## 1 18 southeast
## 2 18 southeast
## 3 18 northeast
## 4 18 northeast
## 5 18 northeast
## 6 18 southeast
The group_by
comes before the aggregation, unlike in SQL where the GROUP BY
comes last.
## # A tibble: 4 x 2
## region avg_age
## <fct> <dbl>
## 1 northeast 39.3
## 2 northwest 39.2
## 3 southeast 38.9
## 4 southwest 39.5
In SQL, this would be
Just like in SQL, many different aggregate functions can be used such as SUM
, MEAN
, MIN
, MAX
, and so forth.
health_insurance %>%
group_by(region) %>%
summarise(avg_age = mean(age),
max_age = max(age),
median_charges = median(charges),
bmi_std_dev = sd(bmi))
## # A tibble: 4 x 5
## region avg_age max_age median_charges bmi_std_dev
## <fct> <dbl> <dbl> <dbl> <dbl>
## 1 northeast 39.3 64 10058. 5.94
## 2 northwest 39.2 64 8966. 5.14
## 3 southeast 38.9 64 9294. 6.48
## 4 southwest 39.5 64 8799. 5.69
To create new columns, the mutate
function is used. For example, if we wanted a column of the person’s annual charges divided by their age
health_insurance %>%
mutate(charges_over_age = charges/age) %>%
select(age, charges, charges_over_age) %>%
head(5)
## # A tibble: 5 x 3
## age charges charges_over_age
## <dbl> <dbl> <dbl>
## 1 19 16885. 889.
## 2 18 1726. 95.9
## 3 28 4449. 159.
## 4 33 21984. 666.
## 5 32 3867. 121.
We can create as many new columns as we want.
 For example, we can create a column which is 0
when age < 50
, 1
when 50 <= age <= 70
, and 2
when age > 70
.
health_insurance %>%
mutate(age_bucket = case_when(age < 50 ~ 0,
age <= 70 ~ 1,
age > 70 ~ 2)) %>%
select(age, age_bucket)
## # A tibble: 1,338 x 2
## age age_bucket
## <dbl> <dbl>
## 1 19 0
## 2 18 0
## 3 28 0
## 4 33 0
## 5 32 0
## 6 31 0
## 7 46 0
## 8 37 0
## 9 37 0
## 10 60 1
## # ... with 1,328 more rows
SQL translation:
6.3 Exercises
The data actuary_salaries
contains the salaries of actuaries collected from the DW Simpson survey. Use this data to answer the exercises below.
## Observations: 138
## Variables: 6
## $ industry <chr> "Casualty", "Casualty", "Casualty", "Casualty", "C...
## $ exams <chr> "1 Exam", "2 Exams", "3 Exams", "4 Exams", "1 Exam...
## $ experience <dbl> 1, 1, 1, 1, 3, 3, 3, 3, 3, 3, 3, 3, 5, 5, 5, 5, 5,...
## $ salary <chr> "48 - 65", "50 - 71", "54 - 77", "58 - 82", "54 - ...
## $ salary_low <dbl> 48, 50, 54, 58, 54, 57, 62, 63, 65, 70, 72, 85, 55...
## $ salary_high <chr> "65", "71", "77", "82", "72", "81", "87", "91", "9...
- How many industries are represented?
- The
salary_high
column is a character type when it should be numeric. Change this column to numeric. - What are the highest and lowest salaries for an actuary in Health with 5 exams passed?
- Create a new column called
salary_mid
which has the middle of thesalary_low
andsalary_high
columns. - When grouping by industry, what is the highest
salary_mid
? What aboutsalary_high
? What is the lowestsalary_low
? - There is a mistake when
salary_low == 11
. Find and fix this mistake, and then rerun the code from the previous task. - Create a new column, called
n_exams
, which is an integer. Use 7 for ASA/ACAS and 10 for FSA/FCAS. Use the code below as a starting point and fill in the_
spaces
actuary_salaries <- actuary_salaries %>%
mutate(n_exams = case_when(exams == "FSA" ~ _,
exams == "ASA" ~ _,
exams == "FCAS" ~ _,
exams == "ACAS" ~ _,
TRUE ~ as.numeric(substr(exams,_,_))))
- Create a column called
social_life
, which is equal ton_exams
/experience
. What is the average (mean)social_life
by industry? Bonus question: what is wrong with using this as a statistical measure?
6.4 Answers to exercises
- How many industries are represented?
## # A tibble: 4 x 2
## industry n
## <chr> <int>
## 1 Casualty 45
## 2 Health 31
## 3 Life 31
## 4 Pension 31
- The
salary_high
column is a character type when it should be numeric. Change this column to numeric.
#method 1
actuary_salaries <- actuary_salaries %>% mutate(salary_high = as.numeric(salary_high))
#method 2
actuary_salaries <- actuary_salaries %>% modify_at("salary_high", as.numeric)
- What are the highest and lowest salaries for an actuary in Health with 5 exams passed?
actuary_salaries %>%
filter(industry == "Health", exams == 5) %>%
summarise(highest = max(salary_high),
lowest = min(salary_low))
## # A tibble: 1 x 2
## highest lowest
## <dbl> <dbl>
## 1 126 68
- Create a new column called
salary_mid
which has the middle of thesalary_low
andsalary_high
columns.
- When grouping by industry, what is the highest
salary_mid
? What aboutsalary_high
? What is the lowestsalary_low
?
actuary_salaries %>%
group_by(industry) %>%
summarise(max_salary_mid = max(salary_mid),
max_salary_high = max(salary_high),
low_salary_low = min(salary_low))
## # A tibble: 4 x 4
## industry max_salary_mid max_salary_high low_salary_low
## <chr> <dbl> <dbl> <dbl>
## 1 Casualty 302. 447 11
## 2 Health 272. 390 49
## 3 Life 244 364 51
## 4 Pension 224. 329 44
- There is a mistake when
salary_low == 11
. Find and fix this mistake, and then rerun the code from the previous task.
actuary_salaries <- actuary_salaries %>%
mutate(salary_low = ifelse(salary_low == 11, yes = 114, no = salary_low),
salary_high = ifelse(salary_high == 66, yes = 166, no = salary_high))
#the minimum salary low is now 48
actuary_salaries %>%
group_by(industry) %>%
summarise(max_salary_mid = max(salary_mid),
max_salary_high = max(salary_high),
low_salary_low = min(salary_low))
## # A tibble: 4 x 4
## industry max_salary_mid max_salary_high low_salary_low
## <chr> <dbl> <dbl> <dbl>
## 1 Casualty 302. 447 48
## 2 Health 272. 390 49
## 3 Life 244 364 51
## 4 Pension 224. 329 44
- Create a new column, called
n_exams
, which is an integer. Use 7 for ASA/ACAS and 10 for FSA/FCAS.
Use the code below as a starting point and fill in the _
spaces
actuary_salaries <- actuary_salaries %>%
mutate(n_exams = case_when(exams == "FSA" ~ _,
exams == "ASA" ~ _,
exams == "FCAS" ~ _,
exams == "ACAS" ~ _,
TRUE ~ as.numeric(substr(exams,_,_))))
actuary_salaries <- actuary_salaries %>%
mutate(n_exams = case_when(exams == "FSA" ~ 10,
exams == "ASA" ~ 7,
exams == "FCAS" ~ 10,
exams == "ACAS" ~ 7,
TRUE ~ as.numeric(substr(exams,1,2))))
## Warning in eval_tidy(pair$rhs, env = default_env): NAs introduced by
## coercion
## # A tibble: 8 x 2
## n_exams n
## <dbl> <int>
## 1 1 12
## 2 2 17
## 3 3 19
## 4 4 21
## 5 5 17
## 6 6 5
## 7 7 29
## 8 10 18
- Create a column called
social_life
, which is equal ton_exams
/experience
. What is the average (mean)social_life
by industry? Bonus question: what is wrong with using this as a statistical measure?
actuary_salaries %>%
mutate(social_life = n_exams/experience) %>%
group_by(industry) %>%
summarise(avg_social_life = mean(social_life))
## # A tibble: 4 x 2
## industry avg_social_life
## <chr> <dbl>
## 1 Casualty 0.985
## 2 Health 1.06
## 3 Life 1.06
## 4 Pension 1.00


Welcome to your API!
{% for route in data %}
{{ route.capitalize() }}
GET
{{'/' + route }}
GET
{{'/' + route + '/
' }}
POST
{{'/' + route }}
PUT
{{'/' + route + '/
' }}
DELETE
{{'/' + route + '/
' }}
{% endfor %}


Lightning fast setup
Minutes to get set up, not weeks. Our cloud-based CMMS software quickly organizes all maintenance activities into one easy-to-use tool.
Lightning fast setup
Minutes to get set up, not weeks. Our cloud-based CMMS software quickly organizes all maintenance activities into one easy-to-use tool.
Skyrocket productivity
Stop spending hours logging work orders and staring at a list of tasks trying to figure out what’s next. It’s the maintenance slog and we’re here to end it.
Built for any business
Simple enough for your entire team. And when work gets complicated, Fiix CMMS software has the features you need to move projects forward.
Lightning fast setup
Minutes to get set up, not weeks. Our cloud-based CMMS software quickly organizes all maintenance activities into one easy-to-use tool.
Skyrocket productivity
Stop spending hours logging work orders and staring at a list of tasks trying to figure out what’s next. It’s the maintenance slog and we’re here to end it.
Built for any business
Simple enough for your entire team. And when work gets complicated, Fiix CMMS software has the features you need to move projects forward.
"Coldwell Solar is growing fast and we wanted a cloud-based CMMS to manage our solar assets. I compared multiple solutions but always came back to Fiix. The per user pricing model is easy to understand and it's absolutely the best bang for your buck."
Blaine Neal, O&M Manager, Coldwell Solar
"Game changer. Since I have brought this system into our company we doubled efficiency and reduced downtime by 50%"
Stern - B&H Photo
Cloud-Based CMMS software features designed for easier maintenance, work orders, and asset management
The new Fiix mobile CMMS app lets you be truly mobile with your maintenance operations. New features like offline mode and easier work order management put everything you need at your fingertips—wherever work takes you. Download today and see for yourself what it’s like to work without limitations.


PING PONG
PING PONG
INstructions for ping pong
Numbers divisible by 3 take the value of ping
Numbers divisible by 5 take the value of pong
Numbers divisible by 3 and 5 also take the value of ping
ABOUT PING PONG SITE
Created by:
Trevor Muthama
Github username
tshakam
Github deploted link
https://tshakam.github.io/Ping-Pong/"
Enter your number here:
Ping Pong!


Metagenomic assembly and annotation of 16S ribosomal RNA genes by SPAdes
Created by Peter Leontev
Scientific advisor:
Sergey Nurk, Algorithmic biology lab
Purpose
Extract 16S rRNA genes and corresponding information from metagenomic assembly
Why?
16S rRNA genes are very important in molecular phylogeny due to slow evolution rates of their regions
One great example [deprecated]
Woese et al. (1990)
Contemporary view
Christopher et al. (2015)
Metagenomics in a nutshell
https://en.wikipedia.org/wiki/Metagenomics
SPAdes 16S rRNA assembly for isolates
| Organism |
16S rRNA copies in genome |
Assembled |
| Some bacteria |
2-15 |
1+* |
*This number depends on available sequencing information (mate-pair, PacBio reads, etc.)
How to detect 16S rRNA?
- Easy: align known 16S rRNA to assembled contigs;
- Much better: use discriminative model (like HMM) including both 1° and 2° structures.
Source of problems [exclude, probably]
The same
1-3: order, 4-11: class, 12: phylum
Correspondence between 16S rRNA in genome and in assembly graph
Bioinformatics reality
https://github.com/rrwick/Bandage
Simulated dataset metagenomic assembly
| Number of bacteria |
16S rRNA expected/found |
Long contigs expected/found |
| 45 |
45/39 |
320/118 |
Comparison of 16S rRNA from targeted assembly and from SPAdes contigs
| Expected number of 16S rRNA |
Found in contigs |
| 1679 |
1368 |
*311 missed 16S rRNA may be due to introns in some 16S or simply misassemblies.


IMPORTANT NOTE! Experimental solutions, written in ES6. This code works in Firefox only!!! Problem 1. Increase array members Write a script that allocates array of 20 integers and initializes each element by its index multiplied by 5. Print the obtained array on the console. Problem 2. Lexicographically comparison Write a script that compares two char arrays lexicographically (letter by letter). Problem 3. Maximal sequence Write a script that finds the maximal sequence of equal elements in an array. Problem 4. Maximal increasing sequence Write a script that finds the maximal increasing sequence in an array. Problem 5. Selection sort Sorting an array means to arrange its elements in increasing order. Write a script to sort an array. Use the selection sort algorithm: Find the smallest element, move it at the first position, find the smallest from the rest, move it at the second position, etc. Hint: Use a second array Problem 6. Most frequent number Write a script that finds the most frequent number in an array. Problem 7. Binary search Write a script that finds the index of given element in a sorted array of integers by using the binary search algorithm.
See the results in the console -> F12 + F5


FIFTY/FIFTY A film review by James Berardinelli Copyright 1993 James Berardinelli
Date Released: 2/26/93 Running Length: 1:42 Rated: R (Violence, language)
Starring: Peter Weller, Robert Hays, Charles Martin Smith Director: Charles Martin Smith Producers: Maurice Singer and Raymond Wagner Screenplay: Dennis Shryack and Michael Butler Music: Peter Bernstein Released by Cannon Pictures
Jake (Peter Weller) and Sam (Robert Hays) are ex-CIA buddies who find themselves on the opposite side of the law in an uprising on a small South Pacific Island. When Jake attempts to save Sam's life, both of them find themselves on the run from the island's dictator. Their flight takes them to Singapore, where they encounter Martin Sprue (Charles Martin Smith), a current CIA operative who "recruits" the two into going back to the island and banding together a resistance group. The goal: dethrone the dictator.
Charles Martin Smith (whose best role still remains that from the 1987 film THE UNTOUCHABLES) joins a long list of directors who have appeared in their own films. Current members of this club such as Kenneth Branagh and Danny DeVito need not worry. If this is an example of Mr. Smith's work, he won't be doing much more directing.
Until one day before seeing this movie, I had never heard of FIFTY/FIFTY. Going into the theater, I had no idea what it was about. I hadn't seen one preview or TV promo, nor was there anything more in the newspaper than a three- by-nine ad. Usually, such lack of publicity means that the distributor expects a bust and isn't willing to sink any more money into a film than has already been lost. In this case, Cannon made a wise decision, although a direct-to-video release might have been an even better one.
FIFTY/FIFTY makes SNIPER look like high art. This is a bad, unoriginal movie with two heros running around shooting everything that moves and dodging bullets left and right. There are the requisite car chases, fist-fights, shoot-outs, bomb blasts, and helicopter attacks. There's even a love interest thrown in for good measure, but who will she choose - Jake or Sam (who cares)? Of course, the characters played by Hays and Weller are about as one- dimensional as they come. Even comic-book heros have more personality.
Admittedly, I'm not a big fan of mindless action films that run on auto-pilot, but occasionally, if done with flair, these can be fun. FIFTY/FIFTY is not done with anything remotely resembling style.  If you need any more convincing information about how unpleasant this film is, consider this: Robert Hays, a man whose only worthwhile role has been as the wimp in AIRPLANE, plays a macho leading man who, when he's not blowing things up, spends most of his time quipping one-liners. Need I say more?
Of course, for those determined to find something positive to say about this film, it does have one or two nicely-filmed action scenes, and some of the lines spoken by the main characters are worthy of a chuckle or two. However, you'll probably laugh more at scenes that weren't intended to be funny.
Rating: 3.5 (D-, *)
- James Berardinelli<EMAIL_ADDRESS>.
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


We have implemented a number of visualizations for reddit data regarding words/phrases, subreddits, karma (comment scores), and time. We have implemented the various ML algorithms: asdf;aj ;alsdfj ;alkdjf ;aksdjf a;kldfj ;alkdfj a;lskdjf a;lsdjf;alsdjf;alkdfj;aljdf;aksjdf;lkajsdf;lkajsdf;lkasdkl;f a ;sdlfkja;dsf
Topic Modeling
Flesch-Kincaid
Logistic Regression
Sentiment Analysis
Please be patient with us as we are querying a lot of data, and this can sometimes take up to 30 seconds or more.


Before Change
ready_object_ref.binary() for ready_object_ref in ready_object_refs
]
remaining_object_ids = [
remaining_object_ref.binary()
for remaining_object_ref in remaining_object_refs
]
return ray_client_pb2.WaitResponse(
valid=True,
After Change
) for ready_object_ref in ready_object_refs
]
remaining_object_ids = [
make_remote_ref(
id=remaining_object_ref.binary(),
handle=cloudpickle.dumps(remaining_object_ref),
) for remaining_object_ref in remaining_object_refs
]
return ray_client_pb2.WaitResponse(
valid=True,


{{ route.distance|distance }} km // Approx. {{ route.duration|duration }} mins.
Disclaimer Routes are generated automatically and may include private or unsuitable roads/locations.
Please check before setting off, and always observe signage and pay attention when cycling.


Stakers maintain a balance of GRC connected to the Gridcoin blockchain. The more balance they maintain, the more likely they are to be chosen as a block producer. Each block they produce earns them GRC.
Stakers are additionally responsible for forming consensus on statistics published by Oracles along with executing the superblock algorithm that calculates and publishes each participant's earned research rewards.
Crunchers contribute computation cycles to whitelisted BOINC projects. They earn GRC in relation to the amount of computation they contribute.
Decide if you want to be a solo cruncher or use a pool.
Oracles are verified nodes that collect, hash, sign, and publish participant contribution statistics from statistic providers.
*Currently, only verifiable and trusted network contributers can become network Oracles. Why not go ahead and start contributing?!
Statistics providers are third-party entities that track a cruncher's contributions. In other words, they are the BOINC projects or other distributed computing applications that are incentivized by the Gridcoin protocol.
Contributors are individuals or entities that contribute development time to any aspect of the Gridcoin network—from software engineering, to marketing and design, to outreach and community management. Remember, anyone can contribute! All you have to do is start.
Businesses accept GRC for goods or services. Businesses that accept GRC enable growth and development while simultaneously increasing exposure and adoption of the Gridcoin protocol and the scientific incentives therein.
Adopters are participants who simply use GRC as a currency.


--- ---
Lastest Post: {% for post in site.posts limit: 1 %} {{ post.title }} {% endfor %}
I discovered photography in a Happy Meal. The lime green camera came with the meal (chicken nuggets...I believe) and it started my obsession with taking beautiful photos. I took photos of everything! My family, our pets, random stranger’s pets, trees… everything! Since my dad is a photographer, he passed down one of his older film cameras to me when I was 12 and taught me some tips and tricks. Now I focus on family portraits and sport photos. My first camera was in a Happy Meal and now photography is my Happy Place.
I taught myself HTML in when I was high school. I was curious about how the Internet worked and how websites were built. My dad bought me my first book on HTML and I taught myself. I built my first website at age 15 for my friends’ sports teams. Recently, I started working in the tech industry and fell back in love with the tech world. I have recently started taking HackerYou courses to learn how to build amazingly, wonderful, creative, static websites. What I love most is how you can take letters and characters and build something beautiful.
Family and Sports
HTML5, CSS3, Responsive Design
Painting & Crocheting
Novellas and short stories
Muffins, French Macarons, Cakes
Smart Serve and First Aid & CPR
Here is a (short) list of articles that feature a few of my photos!
Erika is reliable, fun and a joy to work with. She made me feel comfortable during our sessions and kept things casual. After the session, the edited shots were sent really fast and looked great.” - Vanessa Lee, Canvas
Was great working with Erika. Shoot was quick, and fun. We didn't have much of a plan but Erika was able to work on her feet and get some good shots. Creative use of the tall grass was great! - Casie Stewart
Company Christmas card
I also offer professional photos when building your website, if you need them!
Let's Chat about a Website for you!


'OpenRefine' (formerly 'Google Refine') is a popular, open source data cleaning software. This package enables users to programmatically trigger data transfer between R and 'OpenRefine'. Available functionality includes project import, export and deletion.
| Version: | 1.0 |
| Imports: | httr (≥ 1.1.0), rlist, readr |
| Suggests: | knitr, rmarkdown |
| Published: | 2016-04-09 |
| Author: | VP Nagraj [aut, cre] |
| Maintainer: | VP Nagraj <vpnagraj at virginia.edu> |
| License: | GPL-3 |
| URL: | http://openrefine.org/ |
| NeedsCompilation: | no |
| In views: | WebTechnologies |
| CRAN checks: | rrefine results |
| Reference manual: | rrefine.pdf |
| Vignettes: |
rrefine |
| Package source: | rrefine_1.0.tar.gz |
| Windows binaries: | r-devel: rrefine_1.0.zip, r-release: rrefine_1.0.zip, r-oldrel: rrefine_1.0.zip |
| OS X binaries: | r-release: rrefine_1.0.tgz, r-oldrel: rrefine_1.0.tgz |
Please use the canonical form https://CRAN.R-project.org/package=rrefine to link to this page.


Axes unit and scientific scaling
Using units
Showing big numbers on the axis is usually an issue. Imagine label ticks showing “100000000000”. Not only is not very nice to have the axis take that much space, it’s also not very convenient to read. jsGraph does not automatically handle such cases and it is your job to tell it how you want it to behave.
Let’s take this simple serie to demonstrate the possibilities of jsGraph:
var serie1 = Graph.newWaveform().setData([10000000, 11000000], [0, 1]);
Axis units are a convenient way to circumvent display data. By knowing the unit that the axis represents (let’s take a example: “m” for meters), jsGraph can automatically convert it to its engineering multiples: “Gm”, Mm”, km”, “mm”, “μm”, “nm”, “pm”, “fm”. It will select the most appropriate scaling so that value remain more than 1 but less than 1’000.
For this to happens, you need to use the Axis#setUnit and the Axis#setUnitDecade method (which are accessible via options):
g.getLeftAxis().setLabel('Distance');
g.getLeftAxis().setUnit('m');
g.getLeftAxis().setScientific(true); // Turn into scientific mode
g.getLeftAxis().setUnitDecade(true); // Ask for unit scaling
g.draw();
Exponential offsetting
You can also not use unit prefixes, but simply decide to display a “x10^z” value after the label. To do so, simply use
g.getLeftAxis().setLabel("Distance");
g.getLeftAxis().setUnit("m");
g.getLeftAxis().setScientific( true ); // Just turn the scientific mode on, but do
g.draw();
Defined exponential offsetting
If you know exactly of how much your data must be offseted by (for instance, 10^3), because let’s say you want to display values in mW and not in W, and this, whatever the value is, then you should use Axis#setScientificScaleExponent.
g.getLeftAxis().setLabel("Distance");
g.getLeftAxis().setUnit("m");
g.getLeftAxis().setScientific( true ); // Turn scientific mode on
g.getLeftAxis().setScientificScaleExponent( 4 ); // Force scientific scaling
g.draw();
Engineering scale
The engineering scaling is similar to the scientific scaling, however 10 to the power of only multiple of 3 are used to scale the axis values. For example, this would be used to scale grams to kilograms or to tons, while avoiding the impractical decagrams or hexagrams. This makes usually more sense than scientific scaling for quantities that represent something that can be measured (time, weight, distances, strength, power, …)
g.getLeftAxis().setLabel("Distance");
g.getLeftAxis().setUnit("m");
g.getLeftAxis().setEngineering( true ); // Turn engineering mode on
g.draw();
Values smaller than 1
Of course it also works for very small values (here the “n” stands for “nano”)
Let us use another serie:
var serie2 = [0, 0.00000001, 1, 0.00000002 ];
And use the first example again
g.getLeftAxis().setLabel("Distance");
g.getLeftAxis().setUnit("m");
g.getLeftAxis().setScientific( true ); // Turn scientific mode on
g.getLeftAxis().setUnitDecade( true ); // Ask for unit scaling
g.draw();
g.getLeftAxis().setLabel("Distance");
g.getLeftAxis().setUnit("m");
g.getLeftAxis().setScientific( true ); // Turns scientific mode on
g.draw();
The second example now becomes:


--- title: '' type: docs repo: https://github.com/rstudio/tfruns menu: main: name: tfruns identifier: tfruns-reference parent: reference-top weight: 100 aliases: /tfruns/reference.html ---
Training |
|
|---|---|
Run a training script |
|
Tune hyperparameters using training flags |
|
|
|
Flags for a training run |
Current run directory |
|
Create a unique run directory |
|
Visualizing Runs |
|
View a training run |
|
Compare training runs |
|
Save a run view as HTML |
|
Save a run comparison as HTML |
|
Managing Runs |
|
List or view training runs |
|
Latest training run |
|
Summary of training run |
|
Clean run directories |
|
Copy run directories |
|
Package APIFunctions for use by R packages that integrate with tfruns |
|
Check for an active training run |
|
Extract run directory from an object |
|
View metrics for a training run |
|
Write run metadata |


Taylor, M., Kazadzis, S., Gerosopoulos, E. (2014). Multi-modal analysis of aerosol robotic network size distributions for remote sensing applications: dominant aerosol type cases. Atmospheric Measurement Techniques 7, 839-858.
[ PDF]
[ Link to journal]
|
Taylor, M., Kazadzis, S., Gerosopoulos, E. (2014) Multi-modal fitting of AERONET size distributions during atypical aerosol conditions. Proceedings of the 12th International Conference on Meteorology, Climatology & Atmospheric Physics (COMECAP), Heraklion, Crete, 28-31 May, Vol. 3, pp191-196, ISBN: 978-960-524-430-9.
[ PDF]
[ Link to journal]
[ PPT Talk]
|


Court rejects Trump's appeal in fight over financial records
by The Associated Press, StaffWASHINGTON -- A federal appeals court will not take up U.S. President Donald Trump's appeal of a ruling that his accounting firm must turn over financial records to Congress.
The order was handed down Wednesday by the U.S. Court of Appeals for the District of Columbia Circuit.
It is almost certain that Trump will appeal to the Supreme Court.
A three-judge appellate panel rejected Trump's arguments last month after the president's lawyers went to court to prevent Mazars USA from turning over the records. But Trump petitioned for the full court to reconsider the case.
The House Committee on Oversight and Reform subpoenaed records from Mazars in April.
They include documents from 2011 to 2018 that the House wants for investigation into the president's reporting of his finances and potential conflicts of interest.


[PART XXI.] HEMOPHILIA
[§321-281] Financial assistance fund for hemophilia. There is established within the department of health a financial assistance fund for persons suffering from hemophilia who require hemophilia-related medical care and treatment, but who are unable to pay the entire costs of such medical care and treatment. [L 1983, c 280, pt of §2]


NETSTAT
Section: Linux Programmer's Manual (8)Updated: 19 December 2000
Index Return to Main Contents
NAME
netstat - Print network connections, routing tables, interface statistics, masquerade connections, and multicast membershipsSYNOPSIS
netstat [address_family_options] [--tcp|-t] [--udp|-u] [--raw|-w] [--listening|-l] [--all|-a] [--numeric|-n] [--numeric-hosts][--numeric-ports][--numeric-ports] [--symbolic|-N] [--extend|-e[--extend|-e]] [--timers|-o] [--program|-p] [--verbose|-v] [--continuous|-c] [delay] netstat {--route|-r} [address_family_options] [--extend|-e[--extend|-e]] [--verbose|-v] [--numeric|-n] [--numeric-hosts][--numeric-ports][--numeric-ports] [--continuous|-c] [delay] netstat {--interfaces|-I|-i} [iface] [--all|-a] [--extend|-e] [--verbose|-v] [--program|-p] [--numeric|-n] [--numeric-hosts][--numeric-ports][--numeric-ports] [--continuous|-c] [delay] netstat {--groups|-g} [--numeric|-n] [--numeric-hosts][--numeric-ports][--numeric-ports] [--continuous|-c] [delay] netstat {--masquerade|-M} [--extend|-e] [--numeric|-n] [--numeric-hosts][--numeric-ports][--numeric-ports] [--continuous|-c] [delay] netstat {--statistics|-s} [--tcp|-t] [--udp|-u] [--raw|-w] [delay] netstat {--version|-V} netstat {--help|-h} address_family_options:
[--protocol={inet,unix,ipx,ax25,netrom,ddp}[,...]] [--unix|-x] [--inet|--ip] [--ax25] [--ipx] [--netrom] [--ddp]
NOTE
This program is obsolete. Replacement for netstat is ss. Replacement for netstat -r is ip route. Replacement for netstat -i is ip -s link. Replacement for netstat -g is ip maddr.DESCRIPTION
Netstat prints information about the Linux networking subsystem. The type of information printed is controlled by the first argument, as follows:(none)
By default, netstat displays a list of open sockets. If you don't specify any address families, then the active sockets of all configured address families will be printed.--route , -r
Display the kernel routing tables.--groups , -g
Display multicast group membership information for IPv4 and IPv6.--interfaces=iface , -I=iface , -i
Display a table of all network interfaces, or the specified iface.--masquerade , -M
Display a list of masqueraded connections.--statistics , -s
Display summary statistics for each protocol.OPTIONS
--verbose , -v
Tell the user what is going on by being verbose. Especially print some useful information about unconfigured address families.--numeric , -n
Show numerical addresses instead of trying to determine symbolic host, port or user names.--numeric-hosts
shows numerical host addresses but does not affect the resolution of port or user names.--numeric-ports
shows numerical port numbers but does not affect the resolution of host or user names.--numeric-users
shows numerical user IDs but does not affect the resolution of host or port names.--protocol=family , -A
Specifies the address families (perhaps better described as low level protocols) for which connections are to be shown. family is a comma (',') separated list of address family keywords like inet, unix, ipx, ax25, netrom, and ddp. This has the same effect as using the --inet, --unix (-x), --ipx, --ax25, --netrom, and --ddp options. The address family inet includes raw, udp and tcp protocol sockets.-c, --continuous
This will cause netstat to print the selected information every second continuously.-e, --extend
Display additional information. Use this option twice for maximum detail.-o, --timers
Include information related to networking timers.-p, --program
Show the PID and name of the program to which each socket belongs.-l, --listening
Show only listening sockets. (These are omitted by default.)-a, --all
Show both listening and non-listening (for TCP this means established connections) sockets. With the --interfaces option, show interfaces that are not marked-F
Print routing information from the FIB. (This is the default.)-C
Print routing information from the route cache.-Z --context
If SELinux enabled print SELinux context.-T --notrim
Stop trimming long addresses.delay
Netstat will cycle printing through statistics every delay seconds. UP.OUTPUT
Active Internet connections (TCP, UDP, raw)
Proto
The protocol (tcp, udp, raw) used by the socket.Recv-Q
The count of bytes not copied by the user program connected to this socket.Send-Q
The count of bytes not acknowledged by the remote host.Local Address
Address and port number of the local end of the socket. Unless the --numeric (-n) option is specified, the socket address is resolved to its canonical host name (FQDN), and the port number is translated into the corresponding service name.Foreign Address
Address and port number of the remote end of the socket. Analogous to "Local Address."State
The state of the socket. Since there are no states in raw mode and usually no states used in UDP, this column may be left blank. Normally this can be one of several values:- ESTABLISHED
- The socket has an established connection.
- SYN_SENT
- The socket is actively attempting to establish a connection.
- SYN_RECV
- A connection request has been received from the network.
- FIN_WAIT1
- The socket is closed, and the connection is shutting down.
- FIN_WAIT2
- Connection is closed, and the socket is waiting for a shutdown from the remote end.
- TIME_WAIT
- The socket is waiting after close to handle packets still in the network.
- CLOSED
- The socket is not being used.
- CLOSE_WAIT
- The remote end has shut down, waiting for the socket to close.
- LAST_ACK
- The remote end has shut down, and the socket is closed. Waiting for acknowledgement.
- LISTEN
- The socket is listening for incoming connections. Such sockets are not included in the output unless you specify the --listening (-l) or --all (-a) option.
- CLOSING
- Both sockets are shut down but we still don't have all our data sent.
- UNKNOWN
- The state of the socket is unknown.
User
The username or the user id (UID) of the owner of the socket.PID/Program name
Slash-separated pair of the process id (PID) and process name of the process that owns the socket. --program causes this column to be included. You will also need superuser privileges to see this information on sockets you don't own. This identification information is not yet available for IPX sockets.Timer
(this needs to be written)Active UNIX domain Sockets
Proto
The protocol (usually unix) used by the socket.RefCnt
The reference count (i.e. attached processes via this socket).Flags
The flags displayed is SO_ACCEPTON (displayed as ACC), SO_WAITDATA (W) or SO_NOSPACE (N). SO_ACCECPTON is used on unconnected sockets if their corresponding processes are waiting for a connect request. The other flags are not of normal interest.Type
There are several types of socket access:- SOCK_DGRAM
- The socket is used in Datagram (connectionless) mode.
- SOCK_STREAM
- This is a stream (connection) socket.
- SOCK_RAW
- The socket is used as a raw socket.
- SOCK_RDM
- This one serves reliably-delivered messages.
- SOCK_SEQPACKET
- This is a sequential packet socket.
- SOCK_PACKET
- Raw interface access socket.
- UNKNOWN
- Who ever knows what the future will bring us - just fill in here :-)
State
This field will contain one of the following Keywords:- FREE
- The socket is not allocated
- LISTENING
- The socket is listening for a connection request. Such sockets are only included in the output if you specify the --listening (-l) or --all (-a) option.
- CONNECTING
- The socket is about to establish a connection.
- CONNECTED
- The socket is connected.
- DISCONNECTING
- The socket is disconnecting.
- (empty)
- The socket is not connected to another one.
- UNKNOWN
- This state should never happen.
PID/Program name
Process ID (PID) and process name of the process that has the socket open. More info available in Active Internet connections section written above.Path
This is the path name as which the corresponding processes attached to the socket.Active IPX sockets
(this needs to be done by somebody who knows it)Active NET/ROM sockets
(this needs to be done by somebody who knows it)Active AX.25 sockets
(this needs to be done by somebody who knows it)NOTES
Starting with Linux release 2.2 netstat -i does not show interface statistics for alias interfaces. To get per alias interface counters you need to setup explicit rules using the ipchains(8) command.FILES
/etc/services -- The services translation file/proc -- Mount point for the proc filesystem, which gives access to kernel status information via the following files.
/proc/net/dev -- device information
/proc/net/raw -- raw socket information
/proc/net/tcp -- TCP socket information
/proc/net/udp -- UDP socket information
/proc/net/igmp -- IGMP multicast information
/proc/net/unix -- Unix domain socket information
/proc/net/ipx -- IPX socket information
/proc/net/ax25 -- AX25 socket information
/proc/net/appletalk -- DDP (appletalk) socket information
/proc/net/nr -- NET/ROM socket information
/proc/net/route -- IP routing information
/proc/net/ax25_route -- AX25 routing information
/proc/net/ipx_route -- IPX routing information
/proc/net/nr_nodes -- NET/ROM nodelist
/proc/net/nr_neigh -- NET/ROM neighbours
/proc/net/ip_masquerade -- masqueraded connections
/proc/net/snmp -- statistics
SEE ALSO
ss(8),ip(8)BUGS
Occasionally strange information may appear if a socket changes as it is viewed. This is unlikely to occur.AUTHORS
The netstat user interface was written by Fred Baumgarten<EMAIL_ADDRESS>the man page basically by Matt Welsh<EMAIL_ADDRESS>It was updated by Alan Cox<EMAIL_ADDRESS>but could do with a bit more work. It was updated again by Tuan Hoang<EMAIL_ADDRESS>man page and the command included in the net-tools package is totally rewritten by Bernd Eckenfels<EMAIL_ADDRESS>Index
This document was created by man2html, using the manual pages.
Time: 05:34:27 GMT, December 24, 2015


tag
"The tag
keyword may be used with a
and
area
elements. This keyword creates a hyperlink.
The tag
keyword indicates that the tag that the
referenced document represents applies to the current document.
Since it indicates that the tag applies to the current document, it would be inappropriate to use this keyword in the markup of a tag cloud, which lists the popular tags across a set of pages.
This document is about some gems, and so it is tagged with "https://en.wikipedia.org/wiki/Gemstone
" to unambiguously categorize it as applying
to the "jewel" kind of gems, and not to, say, the towns in the US, the Ruby package format, or
the Swiss locomotive class:
<!DOCTYPE HTML>

<title>My Precious</title>

My precious

Summer 2012

Recently I managed to dispose of a red gem that had been
bothering me. I now have a much nicer blue sapphire.

The red gem had been found in a bauxite stone while I was digging
out the office level, but nobody was willing to haul it away. The
same red gem stayed there for literally years.

Tags: Gemstone

In this document, there are two articles. The "tag
"
link, however, applies to the whole page (and would do so wherever it was placed, including if it
was within the article
elements).
<!DOCTYPE HTML>

<title>Gem 4/4</title>

801: Steinbock

The number 801 Gem 4/4 electro-diesel has an ibex and was rebuilt in 2002.

802: Murmeltier

The 802 in the 1980s, above Lago Bianco.

The number 802 Gem 4/4 electro-diesel has a marmot and was rebuilt in 2003.

Gem 4/4


Aug, 27 2020/18:27:22
Vers 1.4.1
added new command to download sdks manually.
added new command to completely uninstall theos and its dependencies.
speed up installing process by divide the downloading sdks part, you'll be prompt to choose either to download sdk or do it later with sdks opt.
replaced unused code.
remove some unused dependencies.
fixing some bugs.
Aug, 25 2020/21:04:12
Vers 0.3
Release.
< Back


hi everybody,
like the title of this thread says, there is no button on the edit platoon emblem page, to upload a picture. the option for this to work is activated, but still no success. what can i do to get it work, because i only installed bblog for this reason, or do i need other special mozilla ff add-on's? my current ff version is 15.0, bblog v is 2.3, battlelog itself is v1.4-246 (the newest one). i do not want to try it with chrome, cause thats no option for me - it says it should works with ff, so i wont change browser. thanks a lot
re5etx
BrainFooLong
Administrator
Yep, this is a bug since todays battlelog update.
A fix comes tomorrow.
Topicstarter
Re5etX
thanks god, i thought smbdy just would say make this n that and the problem would still be there, but if it's fixed tomorrow and everybody has this prob i'm relaxed and looking forward to tommorrow. thanks a lot


Adobe Creative Cloud, Final Cut Pro, After EffectsHTML5, CSS3, JavaScript, P5.js
<EMAIL_ADDRESS>1-347-551-1005


Taxi driver's fury as he's given £70 parking fine 'while helping elderly woman'
Nigel Cooke claims the parking warden told him "I don't give a toss" when he tried to explain that he was helping the woman, who is in her 70s and uses a cane, in Nailsworth, Gloucestershire
by Samuel PortA taxi driver claims he was given a £70 parking ticket while he was helping an elderly woman who has difficulty walking on her own.
Nigel Cooke, 51, said he was helping the customer, aged in her 70s, down a flight of steps to his car when a parking warden handed him a fine.
The driver claims the warden told him "I don't give a toss" when he tried to explain, and the "embarrassed" customer even offered to pay the fine after the incident in Nailsworth, Gloucestershire.
Mr Cooke admits his car was partially obstructing a pavement, but says the warden should have been "more compassionate", GloucestershireLive reports.
The Freebs Taxis driver, from Stroud, said he parked his car by a stairwell so he could help the woman down to his car from a beauty salon.
He claims his car was "three quarters" on a private road and a "quarter" on a pavement while he picked up the fare on Wednesday morning.
But about three minutes later, as he was helping the woman, who uses a cane, a traffic warden approached the car and gave him a ticket, he said.
Mr Cooke added: "She can’t walk very well and she can grab the handrail to go on the steps.
"So basically I pulled up to pick her up.
"I parked there and ran up the stairs and waited three minutes for her to come out.
"I’ve opened the door and then the traffic warden’s just stood there and, honestly, he couldn’t get the ticket on the screen quick enough.
"So I’ll hold my hands up say that I am obstructing a little bit but it didn’t stop people walking past from the pavement to the opposite side.

"I said, 'Please don’t swear', and he goes, ‘It’s not swearing’, and all that. It’s just his attitude, really."
Mr Cooke said the woman was "embarrassed" and even offered to pay the fine.
He added: "I totally agree with having traffic wardens.
"I think in a little town like Nailsworth, it sort of needs it - just really for people who park stupidly, so I'm not totally against them.
"But I think (the warden) could have been more compassionate really."
A Gloucestershire County Council spokesperson said: “We’re sorry to hear this taxi driver was unhappy with his experience with a civil enforcement officer.
"We take these concerns very seriously and will be fully investigating the matter.
“The PCN can be challenged by following the instructions on the reverse of the ticket and if an appeal is submitted we will consider all points raised and respond appropriately.”


{{% extends "flaskblog/index.html" %} {% block title %}
Browser the posts/post, add/edit/delete the post by assinging tag/tags. You can add/edit/remove the tag with full text searching mechanism for the post. Easy view of posts by pagination if there are lots of posts
{% endblock %}


Normative Lifecycle
Edit (pull request)TOSCA normative lifecycle is automatically generated by the TOSCA container based on the normative node and relationship types.
Note that the TOSCA specification on lifecycle is still being written so this may be subject to changes before v1 release.
Lifecycle is based on the normative node interface (tosca.interfaces.node.lifecycle.Standard) and relationship interface (tosca.interfaces.relationship.Configure).
Node Lifecycle generation
- wait for all node that is a target of a DependsOn relationship to reach the started state (current node being source of the relationship).
- call the node’s create operation
- call the relationships pre_configure_source (if the node is the relationship source) or pre_configure_target (if the node is the relationship target)
- call the node’s configure operation
- call the relationships post_configure_source (if the node is the relationship source) or post_configure_target (if the node is the relationship target)
- call the node’s start operation
- call the relationships add_target (on the nodes sources) and add_source (on the nodes targets) operations.


{% extends "wagtailadmin/base.html" %} {% block titletag %}Delete {{ snippet_type_name}} - {{ instance }}{% endblock %} {% block bodyclass %}menu-snippets{% endblock %} {% block content %} {% include "wagtailadmin/shared/header.html" with title="Delete" subtitle=instance %}
Are you sure you want to delete this {{ snippet_type_name }}?


Pre-departure training materials |
A portal for accessing key ingredients of knowledge necessary for successful engagement with host country counterparts; links to access relevant information (OIE, FAO, Hoffstead, high level policies).
Link |
|
Shared educational materials |
Access the list of Shared Educational modules here:
Link |
|
Global Health Programs |
The in-country global health programs that have a pathology component/focus; contact person; and program vision
Link |


- A Message from Warren E. Buffett
- New Release Updated July 1, 2014
- Annual & Interim Reports Updated May 2 2014
- Warren Buffett's Letters to Berkshire Shareholders Updated March 1, 2015
- Link to SEC Filings
- Charlie Munger's Letters to Wesco Shareholders
- Corporate Governance
- Annual Meeting Information
- Links to Berkshire Subsidiary Companies
- Comparative Rights and Relative Prices of Class A and B Stock Updated January 20, 2010
- Owner's Manual To view the Owner's Manual you may use Adobe Acrobat® Reader® software. Click here to download. Updated March 1, 2014
- Order Berkshire Activewear On-line
- Letters from Warren E. Buffett Regarding Pledges to Make Gifts of Berkshire Stock Updated August 30, 2012


My name is Rui Costa and I'm a Software Engineer based in London, UK.
I have ~13 years of experience building software, most of them focused on iOS development. I've worked across different sectors such as telecommunications, education and financial services, among others.
I've been using Swift practically since day one building iOS apps serving thousands of users. Currently I work as a Lead iOS Engineer at Popsa.
let me = Human(
name: "Rui Costa",
location: "London, UK",
occupation: "Lead iOS Engineer @ Popsa"
)
{% endblock %}


OUR VALUES
Client FocusCredibility
Reliability
After working over 20 years in financial and business organization, I was inspired to set up my
own business. The goal was to achieve financial freedom. Over the past many years I have
acquired practical working experience in the area on payroll, bookkeeping, accounting and
taxation. All Accounting Squad team members are well experienced and knowledgeable in the
accounting field. We have a great passion for our work. Our vision is to be the best accounting
service provider in the Greater Toronto Area. We want to make this possible by putting our
clients in the center of all our work.


provider-rand - The random number generation library <-> provider functions
#include <openssl/core_dispatch.h>
#include <openssl/core_names.h>
/*
* None of these are actual functions, but are displayed like this for
* the function signatures for functions that are offered as function
* pointers in OSSL_DISPATCH arrays.
*/
/* Context management */
void *OSSL_FUNC_rand_newctx(void *provctx, void *parent,
const OSSL_DISPATCH *parent_calls);
void OSSL_FUNC_rand_freectx(void *ctx);
/* Random number generator functions: NIST */
int OSSL_FUNC_rand_instantiate(void *ctx, unsigned int strength,
int prediction_resistance,
const unsigned char *pstr, size_t pstr_len,
const OSSL_PARAM params[]);
int OSSL_FUNC_rand_uninstantiate(void *ctx);
int OSSL_FUNC_rand_generate(void *ctx, unsigned char *out, size_t outlen,
unsigned int strength, int prediction_resistance,
const unsigned char *addin, size_t addin_len);
int OSSL_FUNC_rand_reseed(void *ctx, int prediction_resistance,
const unsigned char *ent, size_t ent_len,
const unsigned char *addin, size_t addin_len);
/* Random number generator functions: additional */
size_t OSSL_FUNC_rand_nonce(void *ctx, unsigned char *out, size_t outlen,
int strength, size_t min_noncelen,
size_t max_noncelen);
size_t OSSL_FUNC_rand_get_seed(void *ctx, unsigned char **buffer,
int entropy, size_t min_len, size_t max_len,
int prediction_resistance,
const unsigned char *adin, size_t adin_len);
void OSSL_FUNC_rand_clear_seed(void *ctx, unsigned char *buffer, size_t b_len);
int OSSL_FUNC_rand_verify_zeroization(void *ctx);
/* Context Locking */
int OSSL_FUNC_rand_enable_locking(void *ctx);
int OSSL_FUNC_rand_lock(void *ctx);
void OSSL_FUNC_rand_unlock(void *ctx);
/* RAND parameter descriptors */
const OSSL_PARAM *OSSL_FUNC_rand_gettable_params(void *provctx);
const OSSL_PARAM *OSSL_FUNC_rand_gettable_ctx_params(void *ctx, void *provctx);
const OSSL_PARAM *OSSL_FUNC_rand_settable_ctx_params(void *ctx, void *provctx);
/* RAND parameters */
int OSSL_FUNC_rand_get_params(OSSL_PARAM params[]);
int OSSL_FUNC_rand_get_ctx_params(void *ctx, OSSL_PARAM params[]);
int OSSL_FUNC_rand_set_ctx_params(void *ctx, const OSSL_PARAM params[]);
This documentation is primarily aimed at provider authors. See provider(7) for further information.
The RAND operation enables providers to implement random number generation algorithms and random number sources and make them available to applications via the API function EVP_RAND(3).
OSSL_FUNC_rand_newctx() should create and return a pointer to a provider side structure for holding context information during a rand operation. A pointer to this context will be passed back in a number of the other rand operation function calls. The parameter provctx is the provider context generated during provider initialisation (see provider(7)). The parameter parent specifies another rand instance to be used for seeding purposes. If NULL and the specific instance supports it, the operating system will be used for seeding. The parameter parent_calls points to the dispatch table for parent. Thus, the parent need not be from the same provider as the new instance.
OSSL_FUNC_rand_freectx() is passed a pointer to the provider side rand context in the mctx parameter. If it receives NULL as ctx value, it should not do anything other than return. This function should free any resources associated with that context.
These functions correspond to those defined in NIST SP 800-90A and SP 800-90C.
OSSL_FUNC_rand_instantiate() is used to instantiate the DRBG ctx at a requested security strength. In addition, prediction_resistance can be requested. Additional input addin of length addin_len bytes can optionally be provided. The parameters specified in params configure the DRBG and these should be processed before instantiation.
OSSL_FUNC_rand_uninstantiate() is used to uninstantiate the DRBG ctx. After being uninstantiated, a DRBG is unable to produce output until it is instantiated anew.
OSSL_FUNC_rand_generate() is used to generate random bytes from the DRBG ctx. It will generate outlen bytes placing them into the buffer pointed to by out. The generated bytes will meet the specified security strength and, if prediction_resistance is true, the bytes will be produced after reseeding from a live entropy source. Additional input addin of length addin_len bytes can optionally be provided.
OSSL_FUNC_rand_nonce() is used to generate a nonce of the given strength with a length from min_noncelen to max_noncelen. If the output buffer out is NULL, the length of the nonce should be returned.
OSSL_FUNC_rand_get_seed() is used by deterministic generators to obtain their seeding material from their parent. The seed bytes will meet the specified security level of entropy bits and there will be between min_len and max_len inclusive bytes in total. If prediction_resistance is true, the bytes will be produced from a live entropy source. Additional input addin of length addin_len bytes can optionally be provided. A pointer to the seed material is returned in *buffer and this must be freed by a later call to OSSL_FUNC_rand_clear_seed().
OSSL_FUNC_rand_clear_seed() frees a seed buffer of length b_len bytes which was previously allocated by OSSL_FUNC_rand_get_seed().
OSSL_FUNC_rand_verify_zeroization() is used to determine if the internal state of the DRBG is zero. This capability is mandated by NIST as part of the self tests, it is unlikely to be useful in other circumstances.
When DRBGs are used by multiple threads, there must be locking employed to ensure their proper operation. Because locking introduces an overhead, it is disabled by default.
OSSL_FUNC_rand_enable_locking() allows locking to be turned on for a DRBG and all of its parent DRBGs. From this call onwards, the DRBG can be used in a thread safe manner.
OSSL_FUNC_rand_lock() is used to lock a DRBG. Once locked, exclusive access is guaranteed.
OSSL_FUNC_rand_unlock() is used to unlock a DRBG.
See OSSL_PARAM(3) for further details on the parameters structure used by these functions.
OSSL_FUNC_rand_get_params() gets details of parameter values associated with the provider algorithm and stores them in params.
OSSL_FUNC_rand_set_ctx_params() sets rand parameters associated with the given provider side rand context ctx to params. Any parameter settings are additional to any that were previously set. Passing NULL for params should return true.
OSSL_FUNC_rand_get_ctx_params() gets details of currently set parameter values associated with the given provider side rand context ctx and stores them in params. Passing NULL for params should return true.
OSSL_FUNC_rand_gettable_params(), OSSL_FUNC_rand_gettable_ctx_params(), and OSSL_FUNC_rand_settable_ctx_params() all return constant OSSL_PARAM(3) arrays as descriptors of the parameters that OSSL_FUNC_rand_get_params(), OSSL_FUNC_rand_get_ctx_params(), and OSSL_FUNC_rand_set_ctx_params() can handle, respectively. OSSL_FUNC_rand_gettable_ctx_params() and OSSL_FUNC_rand_settable_ctx_params() will return the parameters associated with the provider side context ctx in its current state if it is not NULL. Otherwise, they return the parameters associated with the provider side algorithm provctx.
Parameters currently recognised by built-in rands are as follows. Not all parameters are relevant to, or are understood by all rands:
Returns the state of the random number generator.
Returns the bit strength of the random number generator.
For rands that are also deterministic random bit generators (DRBGs), these additional parameters are recognised. Not all parameters are relevant to, or are understood by all DRBG rands:
Reads or set the number of generate requests before reseeding the associated RAND ctx.
Reads or set the number of elapsed seconds before reseeding the associated RAND ctx.
Specifies the maximum number of bytes that can be generated in a single call to OSSL_FUNC_rand_generate.
Specify the minimum and maximum number of bytes of random material that can be used to seed the DRBG.
Specify the minimum and maximum number of bytes of nonce that can be used to instantiate the DRBG.
Specify the minimum and maximum number of bytes of personalisation string that can be used with the DRBG.
Specifies the number of times the DRBG has been seeded or reseeded.
Sets the name of the underlying cipher, digest or MAC to be used. It must name a suitable algorithm for the DRBG that's being used.
Sets the properties to be queried when trying to fetch an underlying algorithm. This must be given together with the algorithm naming parameter to be considered valid.
OSSL_FUNC_rand_newctx() should return the newly created provider side rand context, or NULL on failure.
OSSL_FUNC_rand_gettable_params(), OSSL_FUNC_rand_gettable_ctx_params() and OSSL_FUNC_rand_settable_ctx_params() should return a constant OSSL_PARAM(3) array, or NULL if none is offered.
OSSL_FUNC_rand_nonce() returns the size of the generated nonce, or 0 on error.
OSSL_FUNC_rand_get_seed() returns the size of the generated seed, or 0 on error.
All of the remaining functions should return 1 for success or 0 on error.
The RAND life-cycle is described in life_cycle-rand(7). Providers should ensure that the various transitions listed there are supported. At some point the EVP layer will begin enforcing the listed transitions.
provider(7), RAND(7), EVP_RAND(7), life_cycle-rand(7), EVP_RAND(3)
The provider RAND interface was introduced in OpenSSL 3.0.
Copyright 2020-2021 The OpenSSL Project Authors. All Rights Reserved.
Licensed under the Apache License 2.0 (the "License"). You may not use this file except in compliance with the License. You can obtain a copy in the file LICENSE in the source distribution or at https://www.openssl.org/source/license.html.


I aspire to become a great developerI have worked on a few projects to strengthen my skills. I love to work as a team and I am constantly trying to learn new things and improve my skills.
View Resume
A full-stacked application for detecting multiple faces in an image provided via an image-link,
image counts are increased each time a user provides new image and the information is stored
in the database.
Tools Used: React.js, Node.js, Express.js, PostgreSQL,CSS
Online E-commerce website for showcasing and selling products online with payment system integration, just Stripe!
Tools used: React js,Redux,Firebase,Sass
Javascript
React
Redux,HooksHTML/CSS
Nodejs
PostgreSQL
Firebase
Github
Testing
Jest/EnzymeHeroku
Click on the button below to mail me!
Call to Action


Charts can be updated to show new values at fixed intervals using ES6 generators. Call a chart's run method with a generator to iterate throught a set of values. Each time the generator is called it should yield a new dataset containing new values for the same set of keys that were provided in the initial data that was used to set up the chart. The animated chart will transition between the values pulled from the generator using the transitionTime and pauseTime values set in the chart's configuration.
This is a bar chart running a generator. It is initialised with a dataset of zeros. The chart is then updated from a generator, which yields two alternating datasets, ten times in total. The final value the generator yields is the zero dataset again. Each of the datasets specifies an incremental delay to the timing at which each value is updated, creating a fan effect as each bar moves to its next value. Some of this chart's properties have been set using a custom configuration, including its colors, key axis location, and transition time.
These examples are written in raw ES6, which will only work in modern browsers. You should transpile ES6 code in production.


Ideas & experiences on growing my mind, community and values.
Sign up for my monthly newsletter
Sign up


Trendy Matrix
Demonstrates a matrix and filter controls
Open the matrix filter popup to select the visible rows and columns in the matrix.
Full Screen Matrix
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25


Every time a user plans a route on routeplanner.bike.brussels over the Brussels regional cycling network, the request is saved in a csv file of that date.
The files have 5 columns and contain the following data respectively: timestamp of request, latitude of starting position, longitude of starting position, latitude of ending position, longitude of ending position. The coordinates use the WSG84 coordinate system.
The files can be found here.