Six of the most extraordinary football stadiums including one built like a castle
Every stadium in the world has a quirk to some degree, some stand out as being slicker than your average - here are six that do
by Jake Polden, https://www.mirror.co.uk/authors/jake-polden/, Sam FletcherFootball fans will always tell you their team's stadium is the best.
Supporters of a club know it better than anyone else, and will be able to tell you all the secret, unusual and interesting facts about their home ground.
But while every stadium in the world will have a quirk to some degree, some stand out as being slicker than your average.
Here we take a look at six grounds from around the globe that really catch the eye.
From a football stadium built to resemble a castle - taking the meaning of turning your home ground into a fortress to a whole new level - to a pitch quite literally in the middle of nowhere.
Igraliste Batarija
Team: HNK Trogir
Capacity: 1,021
Managers often talk about making their home ground a fortress. A place where teams fear to come and leave without points, well this Croatian side take the meaning to a whole new level.
Home of HNK Trogir, this ancient ground is situated off the Adriatic coast on a tiny island with a castle behind each goal, making it a literal fortress.
With Kamerlengo Castle behind the south goal and San Marco Tower located next to the north these 15th-century heritage sites help make Igraliste Batarija the first stadium on our list.
Undir Myruhjalla
Team: Skala IF
Capacity: 2,000
Located 440 miles north of Scotland this dainty stadium in the Faroe Islands sits inside the Skagafjordur fjord in Eysturoy.
This 40 km long glacier runs from Trollaskagi in the east to Skagi Peninsula in the west and it is in between the deep valley below where Skala IF play their home matches.
From the depths of the dale to the highs of European football, the home side hosted IK Start in the first qualifying round of the UEFA Cup in 2006.
BBVA Bancomer Stadium
Team: Monterrey
Capacity: 53,500
The only mega-stadium on this list. Opened in August 2015, Estadio BBVA Bancomer looks like any regular modern-day ground unless sat in the north-west corner.
That's because only from here can you view the Cerro de la Silla mountain and the nearby peaks while also watching Liga MX side Monterrey.

Al-Shamal SC Stadium
Team: Al-Shamal SC
Capacity: 5,300
How do you better HNK Trogir's ground of playing next to two 15th-century heritage sites?
The answer: playing inside the castle instead.
Home to Al-Shamal SC, this stadium is said to resemble a Qatar fortress with a rook in each corner of the pitch.
The home side currently operate in Qatargas League, the second division of Qatari football and also boast teams in handball, volleyball, basketball and table tennis.
Vozdovac Stadium
Team: Vozdovac Belgrade
Capacity: 5,175
Built on top of a shopping centre, this ground is one of the few rooftop stadiums in the world, situated 24 metres above the road.
Named after the home side, the Vozdovac Stadium is by far the most popular football arena in the city of Belgrade but hosts the third most prestigious team behind Red Star and Partizan.
Braga Municipal Stadium
Team: Braga
Capacity: 30,286
Designed by Portugese architect Eduardo Souto de Moura, this picturesque ground features two open ends: one displaying an electronic scoreboard on a rock-face and the other showcasing the north side of the city below.
The stadium hosts by far the most successful team on this list, Braga, who reached the Europa League final in 2011, where they were beaten by domestic rivals Porto.


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Embedded Artistry Framework
Embedded Systems C++ Framework
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#include "mutex.hpp"
#include "rtos_defs.hpp"
#include <chrono>
#include <cstdint>
#include <inplace_function/inplace_function.hpp>
#include <time/time.hpp>
Classes | |
| class | embvm::VirtualConditionVariable |
| Defines the VirtualConditionVariable interface. More... | |
Namespaces | |
| embvm | |
| Embedded framework core interfaces, classes, and definitions. | |
| embvm::cv | |
| Condition Variable types and definitions. | |
Typedefs | |
| using | embvm::cv::func_t = stdext::inplace_function< bool(void)> |


ABOUT US
When you work with us, you are part of a team of collaborators. All aspects of our software development process are intergrated, interactive and agile.
Our approach unifies design, development and product management to create exceptional products. We start each project by understanding our business goals, the user's needs and the product requirements.
Then we translate them into effective elegant solutions.
SERVICES
Before we sign an contract or write a line of code our team will spend the necessary time needed to understand your product vision.
The outcome of this scoping session is a proposal or high-level statement of work.
Based on your requirements, we can provide a complete offering or just the pieces you need.


Kali-
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List of some game sites
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Origin on the house
Acid-play
Allgamesatoz
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Follow these steps to view your organization's billing information:
- Log into the Algorithm Lab.
- In the left navigation bar, click Organization > Billing.
The Billing page displays.
The Billing page includes the following sections:
- The billing cost, date, and frequency are at the top.
- Details: The billing name and address associated with the credit card.
- Credit Card: The credit card used to pay the bill.
- Products: A breakdown of the organization's subscriptions.
- Invoices: All the organizations invoices.
- Organization Credit (QCC): All QCC purchases and expenses.


Press the button to play the waveform, and adjust the controls to alter its shape.
| Low α | High α | |
| Low Amplitude | High Amplitude |
This is an audio generator tool to explore the timbral quality of the pink noise family of waveforms. The top box is an oscilloscope view which visualizes the waveform, and the bottom box is a harmonic spectrum view.
Pink noise is characterized as having a harmonic curve where amplitude slopes down from low to high frequencies. More technically, pink noise is parameterized on a variable α (alpha); at a given frequency f, the amplitude is 1/f α. α can range from 0 to 2 (inclusive).
For "normal" pink noise — what is sometimes imprecisely just called "pink noise" per se — α is 1, which means that there is equal energy across all octaves. At the extreme of α = 0, the generated noise is actually white noise, that is, equal energy at all frequencies. At the other extreme of α = 2, the generated noise is brown noise, which is an integration over white noise; the waveform's instantaneous amplitude takes the form of brownian motion.
This tool allows you to adjust α as well as the overall amplitude of the sound.
At higher α, there is relatively high energy in the very-low frequency range. This can cause the waveform to wander significantly out of the valid-for-audio range -1 to 1. This demo adjusts for that implicitly: As you raise α, the overall amplitude is adjusted downward. It's not a perfect adjustment, though, so you might find that you need to manually adjust amplitude up or down, depending on what you're aiming for.
True brown noise (α = 2) is not actually fruitful when turned into an audio waveform, but it can still fun to look at. However, don't be surprised if you end up looking at an empty display when the waveform strays far out of range (per the previous note).
The noise is generated in this demo by using an IIR (infinite impulse response) filter with five poles. The result is not mathematically 100% accurate, however this is generally considered close enough for most audio applications.
|
Copyright 2015-2023 the Mimu Authors (Dan Bornstein et alia). SPDX-License-Identifier: Apache-2.0 |
milk.com / mimu |


Cruise Control MI-2
By Ross Anthony
Remember MI-1? Tom Cruise hanging from the ceiling while performing all sorts of spy operations? Yep, that's all I remember too. I wasn't crazy about MI-1, and am feeling nearly the same about MI-2. Inversely, if you liked the first, perhaps you'll enjoy the later.
I'm a big Cruise fan and willing to take the heat for it. He's a good actor and looks great at the end of a string, or tumbling backwards while kicking the bad guys in the face. In an MI-2 introductory scene, Cruise climbs Utah, getting that red dirt under his nails. Woo does a fantastic job of putting it all to the wall with aerial photography. This quietly huge moment is boosted even higher via a screaming contrast with the previous airplane out of control opening sequence. This is the scene I will remember from MI-2, and Cruise doesn't even know his mission yet.
 A simple enough plan were it not for Cruise's hand-picked spy team. Professional thief Nyah Hall (Thandie Newton), the beautiful key player in his alliance, steals the affections of both Cruise and Ambrose, and that's no coincidence.
Though, these spies handle the art of science well, there's little chemistry between Cruise and Newton. However, in perhaps the first "romantic car chase" ever to grace the screen, the two tango in the dust and gravel of their spinning convertible sports cars, artistic and elegant - kudos again to Woo.
And that's it. No major twists, aside from some very nicely simulated cyber-face changing, but after the first face-lift ... well, you get the idea.
The dialogue is routine, dipping at times to below average. You know, the familiar, "Get him!" and "Put a sock in it!"  Plus, the filmmakers made every effort to repeat import information for us, dangling there on the edge of insulting. In fact, the overall production feels like an artfully crafted episode of the "A-Team." At age ten, I would have been ecstatic over it.
Most of the big action is big; though often popping wheelies into the ridiculous - it's still fun. Unfortunately, the momentum stalls in-between, while many presumptions just don't hold water.
Though at times he gets carried away, still true, Woo is cool. This mission would have been next to impossible without him.
MI-2. Copyright © 2000. Rated PG-13. Starring Tom Cruise, Thandie Newton, Dougray Scott, Richard Roxburgh, John Polson, Brendan Gleeson, Rade Sherbedgia and Ving Rhames. Directed by John Woo. Written by Robert Towne. Story by Ronald D. Moore & Brannon Braga Produced by Tom Cruise and Paula Wagner at Paramount.
Grade..........................B
-- Copyright © 2000. Ross Anthony, currently based in Los Angeles, has scripted and shot documentaries, music videos, and shorts in 35 countries across North America, Europe, Africa and Asia. For more reviews visit: http://RossAnthony.com
The review above was posted to the
rec.arts.movies.reviews newsgroup (de.rec.film.kritiken for German reviews).
The Internet Movie Database accepts no responsibility for the contents of the
review and has no editorial control. Unless stated otherwise, the copyright
belongs to the author.
Please direct comments/criticisms of the review to relevant newsgroups.
Broken URLs inthe reviews are the responsibility of the author.
The formatting of the review is likely to differ from the original due
to ASCII to HTML conversion.
Related links: index of all rec.arts.movies.reviews reviews


27 February 2004
The Ministry of Public Health in Thailand has confirmed the country’s tenth case of H5N1 infection. The case is a 47-year-old woman from Lopburi Province who has fully recovered. She fell ill with fever and cough on 3 February and was diagnosed with pneumonia on 20 February. Hospital discharge followed 5 days later. She had exposure to diseased and dead chickens at her home in January.
To date, Thailand has reported 10 cases, of which 7 have been fatal.


M_fixedform(3fm) - [NCURSES] convert a text block into a TUI (screen interface) (LICENSE:PD)
Synopsis
Description
Example
Author
License
use :: M_fixedform, only : icount_ptr,page_ptr,page_pd,icount_pd use :: M_fixedform, only : fixedform ,loaddata
M_fixedform(3fm) takes a text block as input, and converts it to a form-like screen interface using the ncurses(3f) library. An appropriate action is taken for each keypress.
Sample program:
program demo_M_fixedform use M_fixedform, only : fixedform, loaddata, icount_ptr, page_ptr, page_pd, icount_pd use M_strings, only : split, s2v implicit none character(len=5),parameter :: & & names(10)=[character(len=5) :: "RED","WHITE","BLUE","NAME","DATE","VALUE","EAST","WEST","NORTH","SOUTH"] character(len=:),allocatable :: tabs character(len=:),allocatable :: answers(:) ! output array of tokens logical :: lanswer real :: ranswer integer :: i ! make a namelist for the form logical :: red, white, blue character(len=80) :: name character(len=80) :: date real :: value logical :: east, west, north, south namelist /form/ RED,WHITE,BLUE,NAME,DATE,VALUE,EAST,WEST,NORTH,SOUTH call make_data() page_ptr=>page_pd icount_ptr=>icount_pd call loaddata(test.dat) ! fill the page(*) with user data call fixedform(tabs) ! display the form converted to a TDUA sample of the output from filling out the screenwrite(*,*)The field values are returned left to right, top to bottom write(*,*)as a tab-delimited string. The returned string is ... write(*,*)tabs write(*,(a))repeat(=,80)
write(*,*)The strings can be read from the string, reformatted as a write(*,*)NAMELIST string, or parsed. write(*,(a))repeat(=,80)
write(*,*)parse string into an array of strings using tab delimiter call split(tabs,answers,char(9),nulls=return) write(*,*)ARRAY IS write(*,(i0,t5,a))(i,trim(answers(i)),i=1,size(answers)) write(*,(a))repeat(=,80)
! different ways of converting the strings to other types
write(*,*) convert a T/F string to a logical lanswer=answers(1).eq.T write(*,*) RED is ,lanswer ! or use an internal read read(answers(2),*) lanswer write(*,*) WHITE is ,lanswer write(*,(a))repeat(=,80)
write(*,*) NAME is ,trim(answers(5)) write(*,(a))repeat(=,80)
write(*,*) get a numeric value from a string ranswer=real(s2v(answers(6))) write(*,*) VALUE is ,ranswer ! or read(answers(6),(g20.13)) ranswer write(*,*) VALUE is ,ranswer write(*,(a))repeat(=,80)
write(*,*)write out the data in the form of a namelist file NAME=UNKNOWN DATE= VALUE=0.00 !*!open(11,status=scratch) open(11,file=form.txt,action=readwrite) write(11,("&FORM")) do i=1,size(answers) answers(i)=adjustl(answers(i)) if(answers(i).eq.)then write(11,(*(a)))"! ",trim(names(i)), was blank elseif(index(trim(answers(i)), ).ne.0)then write(11,(*(a)))trim(names(i)),=",trim(answers(i)),", else write(11,(*(a)))trim(names(i)),=,trim(answers(i)),, endif enddo write(11,("/")) ! read the namelist file (an internal file could have been used instead of a file) write(*,*)read it back in rewind(11) read(11,form) write(*,*)write out namelist using namelist output write(*,form) write(*,(a))repeat(=,80) contains subroutine make_data() integer,parameter :: LUN=10 integer :: ios open(unit=LUN,file=test.dat) write(LUN,(a))[character(len=80) :: & @ The simplest use of FIXEDFORM is when a text file is used to define a @, & @ form to be generated much like it could be drawn on paper: @, & ################################################################################, & # #, & # ~ A basic form definition: ~ ^ RED #, & # ~ o Underlines become input fields ~ ^ WHITE #, & # ~ o Up-carets become menu options ~ ^ BLUE #, & # ~ o Pound characters define boxes ~ #, & # ~ o Text otherwise displays as-is ~ Connected by pound characters or #, & # ~ for the most part. ~ adjacent to one another, up-carets #, & # Name: ___________________ form a radio button. #, & # Date: ___________________ ####################### #, & # Value: ___________________ ^ ^ ^ ^ #, & # EAST WEST NORTH SOUTH #, & # #, & # When the cursor is over a menu item it is toggled by pressing the space bar. #, & # A tab character moves to the next selectable item. Typing in an input value #, & # changes the value. When the form is complete use the ctrl-S keys to submit. #, & ################################################################################ ] close(unit=LUN,iostat=ios) end subroutine make_data end program demo_M_fixedform
> The field values are returned left to right, top to bottom > as a tab-delimited string. The returned string is ... > F F T John S. Urban 2018-09-20 13.97 F T F F >============================================================================ > The strings can be read from the string, reformatted as a > NAMELIST string, or parsed. >============================================================================ > parse string into an array of strings using tab delimiter > ARRAY IS >1 F >2 F >3 T >4 John S. Urban >5 2018-09-20 >6 13.97 >7 F >8 T >9 F >10 F >============================================================================ > convert a T/F string to a logical > RED is F > WHITE is F >============================================================================ > NAME is 2018-09-20 >============================================================================ > get a numeric value from a string > VALUE is 13.9700003 > VALUE is 13.9700003 >============================================================================ > write out the data in the form of a namelist file > read it back in > write out namelist using namelist output >&FORM > RED=F, > WHITE=F, > BLUE=T, > NAME="John S. Urban ", > DATE="2018-09-20 ", > VALUE= 13.9700003 , > EAST=F, > WEST=T, > NORTH=F, > SOUTH=F, > / >============================================================================
John S. Urban
Public Domain
| Nemo Release 3.1 | M_fixedform (3) | July 22, 2023 |


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This is a paragraph of text with a link to http://www.joehalliwell.com


Netflix: Hangman
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smithfield-foods
Businessmodel of Smithfield Foods
Customer Segments
Smithfield Foods has a mass market business model, with no significant differentiation between customer segments. The company targets its offerings at consumers who desire meat products.
Value Proposition
Smithfield Foods offers two primary value propositions: innovation and brand/status.
The company embraces innovation as part of its culture. It maintains a vertically-integrated platform through which it controls all aspects of development, from conception to packing. The system allows it to consistently supply traceable and high-quality raw material. It has also enabled Smithfield to lead in areas such as sow group housing conversion and the production of ractopamine-free pork, which is of major importance for export markets.
The company has established a powerful brand due to its success. It is the world’s largest hog producer and pork processor, raising 15.8 million pigs each year and producing over 2.7 billion pounds of packaged meat and over 3.8 billion pounds of fresh pork annually. It maintains leading products in several packaged meats categories, with prominent brands such as Smithfield, Eckrich, Nathan’s Famous, Farmland, Armour, John Morrell, Cook’s, Kretschmar, Gwaltney, Curly’s, Margherita, Carando, Healthy Ones, Krakus, Morliny, and Berlinki. It employs 50,000 people throughout North America and Europe and generated $14 billion in annual revenue in its most recent fiscal year. It exported products to over 40 countries around the world. Lastly, it has won a number of honors, including the following:
- 91 awards from the North American Meat Institute (NAMI) in 2015
- Recognition as #1 in water management among meat companies by Ceres in 2015
- Recognition as Sustainable Processor of the Year by *Food Engineering *in 2014
- The Environmental Excellence Silver Award from the Virginia Department of Environmental Quality for its Smithfield North facility (2013)
- Recognition as a Best of Sustainable Supply Chain winner by McDonald’s (2012) ### Channels
Smithfield Foods’ main channels are regional and national supermarket chains, wholesale distributors, the foodservice industry (fast food, restaurant and hotel chains, hospitals, and other institutional customers), export markets, and other processors.
The company promotes its offerings through its website, social media pages, advertising, sports sponsorships, sales incentives such as rebates, and trade promotion programs.
Customer Relationships
Smithfield Foods’ customer relationship is primarily of a self-service nature. Customers use its products while having limited interactions with employees.
Key Activities
Smithfield Food’s business model entails manufacturing its products for its customers.
Key Partners
Smithfield Foods’ key partners are the suppliers that provide it with the raw materials it needs to manufacture its products. Its most common materials are feed grains, including corn, wheat, and soybean meal. It also purchases live hogs for its Fresh Pork segment.
Key Resources
Smithfield Foods’ main resources are its physical resources, which include farms, manufacturing facilities, and distribution centers across North America and Europe. It processes its hogs at nine plants (three in the Southeast U.S. and six in the Midwest).
Cost Structure
Smithfield Foods has a cost-driven structure, aiming to minimize expenses through significant automation and low-price value propositions. Its biggest cost driver is cost of sales, a variable expense. Other major drivers are in the areas of sales/marketing and administration, both fixed costs.
Revenue Streams
Smithfield Foods has one revenue stream: revenues it generates from sales of its products to its customers.


This post is to know things before starting to learn Deep Learning. We will start from very basic things and some important links to learn the prerequisites. Before starting this course I recommend the following things to be completed. Otherwise, you might feel lost in the middle of the course. It is recommended to complete in order to keep the interest of the subject. I have not explained any of the concepts here because these topics are quite matured topics and experts have explained these things in a very unique way. So i have listed some good resources for understanding each of the topics in a very fun way with practical knowledge. Go through the entire set of prerequisite for atleast a 1.5-2 weeks (20-25 hours) so that you are comfortable looking into probability, linear algebra and any coding jargons discussed in the course.
Prerequisites:
-
Be comfortable atleast in one language preferably in C/C++, Java or Python.(Course will be based on Python) **
-
Basics of calculus. You just need to know differentiation only to some extent. (Basic Operations).
-
Basics of Probability.
-
Basics of Linear Algebra.
Become Comfortable in languages.
-
C/C++ - I would recommend to start with C++ which is an advance version of C. This is the best one stop solution for understanding C++ from zero to moderate level C++ guy/gal. FreecodeCamp Course.
-
Python - Python is an interpreted language which doesn’t require any compilation. So for understanding this language to a greater extent follow the course from freecodecamp. FreecodeCamp Course
Practicing languages everyday.
The best online platform to practice languages everyday is
CodingGame where you can battle with other people for a time period of 15mins. And its my personal experience that this kind of battle gives you a better understanding of the basic operations, I/O and In-built libraries of these languages. Try to participate atleast 3 battle every day for atleast a month. And please donot try multiple languages as you might not have a concrete understanding of any particular language. I would recommend Python as the language is easy to understand. Later you can pick either Java or C++ for getting the flavour of a compiled language for the same Problem statement.
Learn Probability
As there are plethora of good contents regarding this topic, I will be listing a stepwise approach to understand the concepts of Probabilty and Statistics.
-
Step 1 : Know the reasons of learning probabilty and statisctics for machine learning and deep learning and some of its concepts. Medium Article by Rohit Patel.
-
(Optional) One Stop solution for probability topics. Medium Article by Ankit Rathi.
-
For more better understanding with the some problem solving skills. Follow the courses for probability and statistics @Khan_Academy Course List
Linear Algebra
The linear algebra is a very basic subject which is included in any high school syllabus. But to understand and know the significance of each and every concept in Linear algebra i recommend this video series where it has explained each property in a very unique and fun way. This was also included as a part of
Learn_Machine_Learning_in_3_Months Siraj's Open Source Course syllabus.
Youtube Video Series
Note
** - I will try to implement the course lessons (codebase) in all threee languages for your better understanding and support in different languages. But its a future enhancement of the entire course.


We are excited to announce the following speakers:
Cristina is the Director of Oracle Labs Australia and an Architect at Oracle. Headquartered in Brisbane, the Lab focuses on Program Analysis as it applies to finding vulnerabilities in software and enhancing the productivity of developers worldwide.
Fun fact: Cristina’s PhD work led to dcc, a decompiler for 8086 .exe binaries.
Sylvan works on programming languages, type systems, garbage collection, runtimes, compilers, security, and confidential distributed computing. He created the Pony language.
Fun fact: MADV_DONTNEED (Linux) or a MEM_DECOMMIT/MEM_COMMIT pair (Windows) will zero page aligned memory faster than memset.
Albert enjoys exploring the design and implementation of parallelizing and optimizing compilers, parallel programming languages, and synchronous programming for embedded systems. He is most well known for contributing to polyhedral modeling techniques and their application to compilation, but his true love is the broader art of intermediate representations.
Fun fact: Albert developed the Tuareg Emacs mode for OCaml before working at (((lambda (k) ('à . (I . (N . (R . (I . (A . ()))))))) (lambda (k) (('à . ('l . ('\' . 'INRIA)))) (lambda (k) (('à . 'Inria) . k)))) '"for 18 years") then seized the opportunity to leave this dynamic (type) world and its administrative (normal) forms to explore industry research.
Arjun enjoys applying ideas from programming languages to tackle problems in several domains, such as web security, systems, and networking. He claims to prefer functional programming, but his research projects invariably involve JavaScript or low-level systems code.
Fun fact: Arjun believes strongly in dental hygiene for all.
Tony Hosking is a professor of computer science at the Australian National University, contributing also as a researcher with Data61. He also consults frequently in intellectual property litigation as a technical expert. He studied computer science at the University of Adelaide, the University of Waikato, and the University of Massachusetts at Amherst, receiving BSc, MSc, and PhD degrees, respectively. His research interests lie in the area of programming language implementation, and he works on problems arising in object persistence, object databases, distribution, memory management (garbage collection), managed language runtimes, language virtual machines, optimizing compilers, and architectural support for programming languages and applications.
Tony is a Member of the IEEE and Life Member of the Association for Computing Machinery, and was named a Distinguished Scientist of the ACM in 2012. He is co-author of the primary reference work for automatic memory management The Garbage Collection Handbook, which has been translated from the original English to both Japanese and Chinese!
Nicholas Matsakis ("Niko") works on the Rust programming language, focusing mostly on the compiler and language design, but with occasional forays into other things.
Fun fact: Niko would like to recreate the Borland Turbo Pascal IDE someday.
Anders works on static and dynamic program analysis, mostly for JavaScript and Java.
Fun fact: Anders did not participate in the 2007 World Championships in Atletics.
Joe Pamer is an Engineering Director at Facebook, and has spent the last two decades developing cutting-edge compilers, programming languages, and IDEs across industry and academia. Before joining Facebook to help lead their programming language efforts, he was instrumental in the design and development of the F#, TypeScript, and Swift programming languages, and has contributed to many other major developer technologies ranging from .NET to VSCode to Clang. His current mission is to radically improve the way we approach developer tooling and infrastructure by applying machine learning techniques to every link in the developer toolchain.
Fun fact: Joe once slept through a blimp crashing in his backyard. (Thankfully, no one was hurt!)
Ben L. Titzer leads Google's WebAssembly team in Munich. Before starting the WebAssembly project with Luke Wagner from Mozilla, he led the team that built the TurboFan optimizing compiler which now powers JavaScript and WebAssembly in V8. He graduated with a BS from Purdue University in 2002 and MS and PhD from UCLA in 2004 and 2007. His interests include safe programming languages for systems programming, compilers, virtual machines, nature and playing guitar.
Mario Wolczko is an Architect in Oracle Labs. His research interests include language implementation with an emphasis on virtual machines, computer architecture and memory systems design, garbage collection, object oriented programming languages and performance instrumentation.
Fun fact: My uncommon, hard-to-spell surname is the result of a bureaucratic transcription error.


--- title: New Methods version: "5.4" tags: - "5.4" - methods ---
Several new methods were introduced in 5.4.0:
XSL:
SPL:
Reflection:
Closure:
PDO_dblib:
StreamWrapper:


Core
Web components simple as that.
npm install @ionic/core
The main components are a little further down the structure.


cast-software
Businessmodel of Cast Software
Customer Segments
Cast provides a range of application analytics and application engineering software products, serving customers across a range of business sectors and segments. The Company’s customers can be organised broadly into the following categories:
- Commercial Entities, comprising a wide range of large commercial enterprises across multiple industries, including the banking and financial services, consulting, and technology research fields; and
- Government Institutions, comprising various state and federal government bodies and public institutions. Cast serves a range of high-profile companies, including household names such as Coca Cola, IBM, Fedex, Fannie Mae, Capgemini, and Bank of New York Mellon.
As a French company, Cast serves a large client base in its native Europe, as well as a number of large international businesses based in the US. It also serves a substantial number of international clients across Asia Pacific.
Value Propositions
Cast provides value to its clients in the following ways:
- Its industry standing and reputation, with the Company established as a leading provider of application analytics and engineering software, having a positive track record and serving a number of high-profile companies from around the world;
- Its broad range of products and solutions, with the Company offering a wide range of products and services that target different enterprise needs, including architecture checking tools, analytics, and engineering services through its software measurement and quality analysis platform;
- The effectiveness and reliability of its products, with the Company’s products reported to help companies to maintain effective, reliable, and efficient information technology systems;
- Its proprietary technologies, with the Company utilising a range of proprietary technologies and intellectual properties in the development of its products and solutions, enabling it to provide unique services to its clients; and
- Its industry expertise and experience, with the Company employing highly-trained technical personnel across its enterprise, as well as a team of experienced industry executives. ### Channels
Cast operates a website at www.castsoftware.com, through which it provides information on its product and solutions, target customers, partners, and corporate activities. The Company does not operate an online sales channel; however, it does offer customers a tool through which they can arrange a demonstration of the Company’s software. Once purchased, customers are able to access the platform on computers where the software is installed.
Cast makes its sales through a direct sales force which operates out of the Company’s international network of offices. This includes sales offices in Brussels, Munich, Madrid, Milan, Bangalore, London, and Washington DC. While Cast has a direct sales presence across the US, India, and much of Europe, the Company makes its sales in other jurisdictions through authorised representatives, including Kalitek in the middle East and Africa, Solupia in South Korea, and Extramile Technologies in Romania.
Customer Relationships
Cast does not make sales of its products and solutions to customers on a self-service basis. Customers can arrange a demonstration of the Company’s platform online, but must make purchases through the Company’s in-house sales force. Once purchased, the Company’s software can be used independently by clients.
Cast makes its sales directly, consulting closely with clients in order to fully understand and fulfil their individual needs, and providing demonstrations and tutorials of how best to implement its products. The Company’s products appear to be provided under sales contracts agreed on a case-by-case basis, with solutions tailored to each client’s individual circumstances.
Cast provides ongoing support to its clients, providing customers with contact detail for technical support teams across its various office locations, allowing clients to access personalised responses to queries and technical concerns. The company also provides a range of online resources, such as troubleshooting guides, articles, and training materials, and hosts a customer community portal, through which users can interact with one another and collaborate on problems.
Additionally, Cast operates a number of social media accounts – including with Facebook, Twitter, Google+, YouTube, and LinkedIn – through which it can provide company updates and interact directly with clients.
Key Activities
Cast is a French software and technology company that specialises in the development of analytics and engineering applications, as well as in the delivery of consulting and outsourcing services.
The Company’s flagship product is the Cast Application Intelligence Platform, through which customers are able to analyse applications and garner the relevant information needed to measure, monitor and control application assets. Cast serves a broad range of commercial and governmental customers, including companies across the financial services, banking, consulting, and consumer goods sectors.
The Company operates through several subsidiaries, including CAST Software Ltd, Cast Software India and CAST GmbH, among others, and serves customers in a number of other international markets through authorized local representatives.
Key Partners
Cast works closely with a wide range of partner companies and organisations in the development, implementation, and distribution of its software products. The Company organises its partners into three core groups:
- Practitioners, comprising technical service providers, such as software companies and systems integrators that assists in the development and implementation of the Company’s products;
- Business Partners, comprising various consulting companies and commercial enterprises that utilise the Company’s products to enhance their own service offerings and operations; and
- Influencers, comprising large companies and organisations with which the company does business who promote and refer the Company’s services. Cast also partners with distribution partners, such as its local sales representatives in certain markets, and supplier partners, which provide equipment, tools, and services across the Company’s departments.
Cast has a number of key partnerships in place. Its practitioner partners include IBM, Wipro, and Capgemini its business partners include Tata, Boston Consulting Group, and Tech Mahindra; and its influencer partners include IDC, Gartner Research, and Ovum.
Key Resources
Cast’s key resources are its technologies and intellectual properties, its software platform and products, its IT and communications infrastructure, its sales channel and support infrastructure, its office network, its partnerships, and its personnel.
While Cast utilises a range of proprietary technologies in the development of its products and solutions, searches of records published by the US Patent and Trademark Office and records published by France’s National Industrial Property Institute identified no patent filed in Cast’s name.
Cast owns and or leases a number of physical properties across Europe, India, and the US, which comprise the Company’s network of administrative and sales offices.
Cost Structure
Cast incurs costs in relation to the development of its products and technologies, the development and maintenance of its flagship software platform, the maintenance of its IT and communications infrastructure, the procurement of equipment and services, the implementation of marketing campaigns, management of its partnerships, and the retention of its personnel.
In 2015 Cast recorded total operating expenses for the year in the amount of €35.4 million. This comprised cost of revenue in the amount of €100,000, research and development expenses in the amount of €7.2 million, and sales, general, and administrative costs in the amount of €28.2 million.
Revenue Streams
Cast generates revenue through the provision of application analytics and application engineering products to commercial and governmental clients, as well as the provision of various software and technical services. The Company derives its revenue primarily under sales and service contracts agreed on a case-by-case basis.
In 2015 Cast generated total revenue for the year in the amount of €36.3 million, up on the €33.2 million recorded by the Company in 2014.


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Your task is to produce a color swatch grid similar to the above.
Each swatch's markup should look like the following:

Faded purple

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Write a Sass mixin that generates the styles for each swatch, given a class name that matches the variable name used to define the color. Note that:
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.Good luck!


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With supporting text below as a natural lead-in to additional content.


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the older and more worn down which is just a smile.
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i 'm not much of a breakfast is just a smile.


Age is #{docsController.lower}.
Try to set a new age via the console, for example setAge(42). Since the value has an ajax behavior attached, it will reload the form and render the new value.


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What are you doing here? Since I only post once a month, I thought it would be fun to create a wind-up page that features posts that I have already created, but haven't deployed yet. These are still un-edited versions of the main posts, so it won't be surprising to find some errors. Scan below and take your pick. Depending on the time period, I may have 0 or even about 10. The rest of my pages will be here.
hi, wink unicorn, kumamon, haha, travel, bat, robot, hiphop, hippo, pokeball, pie, ufo, walk cool balloon, hangover, kirby, onmyway, haters, board, snorlax, fly earth, thankyou, swim, penguin, handsome, winner, tank, fox, mario, joker, rabbit, sensei, piggy, psyduck, dragon, salamander, airguitar, pikachu, bravo, ghost, britney, pikarun, catrun, koggy, sonic, doggy, spongebob, gun, money, homer, dog, bird, piqiu, lol, nyancat


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Many applications will hash parameters such as ID numbers and email addresses for use in secure tokens, like session cookies. A java extension for Burp Suite, burp-hash will passively scan requests and responses looking for hashed values. Once a hashed value is found, it is compared to a table of parameters already observed in the application to find a match. The extension keeps a lookout for parameters such as usernames, email addresses, and ID numbers. It also keeps a lookout for hashes (SHA, MD5, etc). It hashes new data and compares to observed hashes. The user receives a notification if any hashes match. This automates the process of trying to guess common parameters used in the generation of hashes observed in an application.
We are pleased to announce burp-hash has been accepted for Black Hat USA Arsenal 2015.