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The Iterator Pattern
Added Thu, Mar 19 2015
Behavorial
What’s the easiest (or laziest) way to traverse through a list?
Explained as to a 5 year old
Coming soon.
Code Sample
Coming soon.
Explanation
Coming soon.


CS-Script can work on any OS as long as it has .NET
installed. This is the nature of the managed code execution under
CLR. The .NET assemblies (C# script exists in a form of assembly
during the execution) are generally neutral with respect to the OS
they are running on. This is why all versions of CS-Script
can virtually run on any OS. However in case of Vista/Win7 the
default CS-Script functionality is not sufficient to support x64 and
UAC
execution scenarios.
Version 2.0 and all subsequent versions of CS-Script are able to handle
such scenarios.
x64 specific scenarios
Under x64 CLR all loaded assemblies (including scripts being executed)
belong to the x64 execution context. It means that such script can not
access/load x32 resources directly. Here is an example that
illustrates this:
[DllImport("aspell-15.dll")]
internal static extern IntPtr new_aspell_config();
...
IntPtr config = new_aspell_config(); |
The code above will produce "
An
attempt was made to load a program with an incorrect format."
error if executed on x64 OS. The reason for this error is that
aspell-15.dll
is a x32 binary and x64 CLR just can not load it. Note this problem is
common for any managed code execution not only for C# scripts.
Usually .NET assembly is indifferent with respect to the CPU type. It
always accepts the CPU type of the operating system. This is the reason
why the code above will always fail on WinXP-64 and will always work on
WinXP-32. So what can you do to overcome the problem? Well, it is not
possible to execute the above script on Vista/Win7,
however it is
possible to compile it into an executable for the specific CPU type
(x32)
and run that executable instead of running the script. Thus,
if the
script name is
aspell.cs you
can compile it into the x32 executable in the following way:
cscs /e
/co:/platform:x86 aspell.cs
UAC scenarios
An important part of UAC is Process
Elevation. Any
process, which requires assessing the privileged resources
(e.g. LM registry) has to be started within the Administrator
account
context. Note: even if the current user belongs to the
Administrators user group, process elevation still needs to occur.
Another important thing is that a given process cannot elevate itself.
It can only restart itself with elevated rights requested. And this is
exactly what CS-Script does when the script execution
requires process elevation. You can do it in the one of the
following ways:
Interestingly enough, the CS-Script process elevation
mechanism works on WindowsXP too, thus it can be used
to force the script execution with administrative privileges the
same way as on Vista/Win7.
Another important thing about UAC and CS-Script is that
changing the script engine configuration settings now
requires
process elevation. Of course you can start the configuration
console (
config.cs script) in
elevated mode by any of the techniques described above, however
it may be quite inconvenient if you change the settings
often. To simplify access to the configuration console a special
console
launcher (
css_config.exe) has
been created.
After executing the launcher you have an option to start the
configuration
console with elevation
(full-access
mode) or without one (restricted
mode).
See Also
Script Aliases |
Script Library


Hi, {{xmp.r['First Name']}}. wanna recommend us to a friend?
Update form
Let us know about your friend:
First Name :
Last Name :


A small fishing village located in a horseshoe shaped bay.
Position 15°40′00″N, 96°29′26″W.
This is not a Port of Entry.
Report to the port captain whose office is east of the pier, or to the senior officer at the naval post on the beach. Bring copies of your passport and ships documentation. The Port Captain is to the right of the cement pier about 40 yards from the beach. To the right of the pier appears to be the easiest place to land your dinghy with the swell running.
Last updated January 2013.
This is no longer a coffee exporting port, but the harbour is sheltered and there is a concrete pier which was refurbished a few years ago.
Take great care when finding a place to moor as the bay is pretty full with moorings for the pangas. These mooring are mostly floating coke bottles, etc. (the typical panga mooring). Be very careful coming in at night as these floating bottles are extremely hard to see. Finding a spot to anchor can be tricky due to lack of available space.
This dusty fishing/tourist village has few paved streets and limited amenities, but it has several tranquil beaches and fresh seafood. Along the beach there are several restaurants and a small naval installation.
Last updated December 2012.


§40. Qualifications of representatives. That in order to be eligible to be a member of the house of representatives a person shall, at the time of election--
Have attained the age of twenty-five years;
Be a citizen of the United States;
Have resided in the Hawaiian Islands not less than three years and shall be qualified to vote for representatives in the district from which he is elected. [Am Sept.15, 1922, c 315, 42 Stat 844]
This § does not invalidate the law requiring nominations to be filed within a prescribed time: 19 H. 227. Referred to in 13 H. 21; 14 H. 146; 25 H. 689.


|
Contiki 2.5
|
IAP bootloader specific definitions. More...
Go to the source code of this file.
Defines | |
| #define | IAP_BOOTLOADER_APPLICATION_ADDRESS 0x08003000 |
| Application start address. | |
| #define | IAP_BOOTLOADER_PAN_ID 0xb00b |
| Radio PAN ID for OTA bootloader. | |
| #define | IAP_BOOTLOADER_APP_SWITCH_SIGNATURE 0xb001204d |
| Signature used for switch to application. | |
| #define | IAP_BOOTLOADER_DEFAULT_CHANNEL 0x0F |
| Radio default channel for OTA bootloader. | |
| #define | IAP_BOOTLOADER_MODE_UART 0 |
| IAP bootloader uart mode. | |
| #define | IAP_BOOTLOADER_MODE_OTA 1 |
| IAP bootloader OTA mode. |
IAP bootloader specific definitions.
Definition in file iap_bootloader.h.


foauth.org: OAuth for one
OAuth is a great idea for interaction between big sites with lots of users. But, as one of those users, it's a pretty terrible way to get at your own data. That's where foauth.org comes in, giving you access to these services in three easy steps:
-
Sign up with foauth.org
{% if current_user.is_authenticated() %}Looks like you've already signed up. Well done!
{% else %}This is the entire form. No joke.
{% endif %} -
Activate your services
{% if current_user.is_authenticated() %}You've already authorized {{ current_user.keys.count() }} service{% if current_user.keys.count() != 1 %}s{% endif %}, why not add more?
{% else %}This only takes a couple clicks if you're already logged in with them. You can connect up to {{ services|length }} different services so far:
{% for service in services %} {% endfor %}
{% endif %} -
Access your own data
Write your own programs to access your data, using HTTP Basic authentication, which is much easier to deal with. Most programming languages have built-in support for it, and we don't even care which one you use. Sure, we love Python, but it's okay if you don't.
>>> import requests >>> auth =<EMAIL_ADDRESS>'password' >>> data = {'status': "Just signed up with https://foauth.org/ and it's awesome! Thanks @Gulopine!"} >>> requests.post('http{% if request.is_secure %}s{% endif %}://{{ request.host }}/api.twitter.com/1.1/statuses/update.json', data=data, auth=auth) >>> r = requests.get('http{% if request.is_secure %}s{% endif %}://{{ request.host }}/api.twitter.com/1.1/statuses/user_timeline.json', auth=auth) >>> r.json()[0]['text'] "Just signed up with https://foauth.org/ and it's awesome! Thanks @Gulopine!"


Leicester boss Brendan Rodgers comments on replacing Unai Emery at "fantastic" Arsenal
The Foxes boss has seen his name thrown into the ring to replace Emery, who was sacked on Friday morning
by Sam InkersoleBrendan Rodgers is just one of the names that has been linked with the role of Arsenal manager since the Gunners ditched Unai Emery as head coach on Friday morning.
Emery's stay in north London lasted a little under 18 months but he was given the boot following Arsenal's 2-1 loss to Eintracht Frankfurt in the Europa League on Thursday and with Arsenal in the midst of their worst run of form since 1992.
Freddie Ljungberg has been placed in temporary charge and took training at London Colney on Friday morning. Emery had arrived at the training ground as usual ready to take the session but as swiftly pulled aside into a meeting where he was given his marching orders.
Rodgers, who is enjoying a superb campaign with Leicester City as they sit second in the Premier League standings, is one of a number of names rumoured to be of interest to Arsenal as a replacement for Emery alongside Italian's Max Allegri and Carlo Ancelotti, as well as former midfielder Mikel Arteta who came close to getting the job before Emery.
Rodgers, speaking at a pre-match press conference ahead of the Foxes game against Everton this weekend, was asked about Emery's sacking and his thoughts on replacing the Spaniard.
He said: "There's disappointment whenever a coach loses his job. Unai has proved himself over a number of years. I have sympathy for him.
"It’s natural that there are links. If you are doing okay people want to take you away from something you enjoy. If you’re not it doesn't matter
"There's always a number of names. We're at the beginning of something here.
"My relationship with the people here and the players is very strong.
"We think we are starting something exciting. Arsenal is a fantastic club. One of the greats in this country. If the people at Arsenal have moved Unai on, I’m sure they have an idea of who they want to bring in."


Recipe 4.12. Building a Dict from a List of Alternating Keys and ValuesCredit: Richard Philips, Raymond Hettinger ProblemYou want to build a dict from a list of alternating keys and values. SolutionThe built-in type dict offers many ways to build dictionaries, but not this one, so we need to code a function for the purpose. One way is to use the built-in function zip on extended slices: def dictFromList(keysAndValues): return dict(zip(keysAndValues[::2], keysAndValues[1::2])) A more general approach, which works for any sequence or other iterable argument and not just for lists, is to "factor out" the task of getting a sequence of pairs from a flat sequence into a separate generator. This approach is not quite as concise as dictFromList, but it's faster as well as more general: def pairwise(iterable): itnext = iter(iterable).next while True: yield itnext( ), itnext( ) def dictFromSequence(seq): return dict(pairwise(seq)) Defining pairwise also allows updating an existing dictionary with any sequence of alternating keys and valuesjust code, for example, mydict.update(pairwise(seq)). DiscussionBoth of the "factory functions" in this recipe use the same underlying way to construct a dictionary: each calls dict with an argument that is a sequence of (key, value) pairs. All the difference is in how the functions build the sequence of pairs to pass to dict. dictFromList builds a list of such pairs by calling built-in function zip with two extended-form slices of the function's keysAndValues argumentone that gathers all items with even indices (meaning the items at index 0, 2, 4, . . .), the other that gathers all items with odd indices (starting at 1 and counting by 2 . . .). This approach is fine, but it works only when the argument named keysAndValues is an instance of a type or class that supports extended slicing, such as list, tuple or str. Also, this approach results in constructing several temporary lists in memory: if keysAndValues is a long sequence, all of this list construction activity can cost some performance. dictFromSequence, on the other hand, delegates the task of building the sequence of pairs to the generator named pairwise. In turn, pairwise is coded to ensure that it can use any iterable at allnot just lists (or other sequences, such as tuples or strings), but also, for example, results of other generators, files, dictionaries, and so on. Moreover, pairwise yields pairs one at a time. It never constructs any long list in memory, an aspect that may improve performance if the input sequence is very long. The implementation of pairwise is interesting. As its very first statement, pairwise binds local name itnext to the bound-method next of the iterator that it obtains by calling the built-in function iter on the iterable argument. This may seem a bit strange, but it's a good general technique in Python: if you start with an object, and all you need to do with that object is call one of its methods in a loop, you can extract the bound-method, assign it to a local name, and afterwards just call the local name as if it were a function. pairwise would work just as well if the next method was instead called in a way that may look more normal to programmers who are used to other languages: def pairwise_slow(iterable): it = iter(iterable) while True: yield it.next( ), it.next( ) However, this pairwise_slow variant isn't really any simpler than the pairwise generator shown in the Solution ("more familiar to people who don't know Python" is not a synonym of "simpler"!), and it is about 60% slower. Focusing on simplicity and clarity is one thing, and a very good oneindeed, a core principle of Python. Throwing performance to the winds, without getting any real advantage to compensate, is a completely different proposition and definitely not a practice that can be recommended in any language. So, while it is an excellent idea to focus on writing correct, clear, and simple code, it's also very advisable to learn and use Python's idioms that are most appropriate to your needs. See AlsoRecipe 19.7 for more general approaches to looping by sliding windows over an iterable. See the Python Reference Manual for more on extended slicing. |


ESSY MUTHONI MWANGI
Telecommunication And Information Engineer // Software Developer
I'm Essy Mwangi. I'm a Telecommunication And Information Engineering student and a software development student .
Education:
High School: Nyahururu Elite Senior School: A-
University Degree: JKUAT : Telecommunications And Information Engineering
Certification: CNNA , Moringa Software Development Course.
Job Experience:
Electrical,Telecommunication And Electonics Engineering Attachee : Kenya Airports Authority: Aug 2019 – Dec 2019.
ICT Attachee: Public Service Commission: July 2018 - Oct 2018.
Skills And Hobbies
Some of my skills include: I'm professional sign language interpreter and a Swimmer.
My hobbies include: Travelling, Reading novels, Watching series,documentaries and movies and listening to music.
Why Moringa?
I decided to join Moringa to improve on my software skills. My university degree mainly entails hardware hence the need to sharpen my software skills as well. My main goal is to end up as a cyber security expert in the near future.
Projects Done:
This project was a practice exercise form Moringa School LMS. It was an exercise on styling in CSS. The styling languages used in the project are CSS and HTML.
This project was a practice exercise form Moringa School LMS. It was an exercise on styling in HTML. The Styling language used in the project are HTML.
Phone:0746266284


{% load staticfiles %}
Standard Single Room
Standard Twin Room
Superior Double Room
Standard Triple Room
Superior Triple Room
Standard Quadruple Room


Accordion instance 1
-
Cat ipsum dolor sit amet, havana brown bobcat. Ocelot himalayan or mouser. Burmese sphynx or bengal american bobtail tabby. Lynx norwegian forest but lion. Tom lion and bengal or abyssinian ragdoll american shorthair bengal. Lion leopard grimalkin donskoy. Bobcat tabby. Singapura siberian malkin puma or sphynx. Panther himalayan. Bombay manx. Scottish fold. Sphynx bengal so abyssinian for cougar but singapura but tiger but lion. Leopard tiger or thai kitten. Cheetah burmese, malkin yet bengal puma.
Burmese tiger, scottish fold or munchkin, american shorthair tabby, and cougar. Siberian havana brown norwegian forest, manx ragdoll, and tom. Mouser lynx. Savannah maine coon and burmese siberian. Donskoy leopard or cougar siberian birman cornish rex. Persian tiger so mouser. Grimalkin bombay yet tiger, so bombay panther. Siamese savannah but burmese devonshire rex. Tomcat bobcat yet ragdoll tabby egyptian mau for tiger, and tiger. Leopard burmese and panther bengal for havana brown so bobcat but maine coon.
-
Cat ipsum dolor sit amet, cornish rex. Norwegian forest kitty. Birman scottish fold russian blue. Devonshire rex. Sphynx. Birman american bobtail leopard birman and abyssinian for abyssinian , donskoy. Bengal panther singapura. Abyssinian ragdoll or tom maine coon, panther, kitten ocelot. Leopard siamese. Manx ocicat. Savannah siberian. Savannah russian blue yet leopard and munchkin leopard cornish rex. Turkish angora british shorthair. Devonshire rex birman so manx and kitten. Singapura ocicat so kitty so siamese so persian bobcat. American shorthair persian. Tomcat tom but ocelot. Cornish rex persian yet himalayan malkin so birman. Singapura lion so scottish fold devonshire rex but norwegian forest but donskoy puma. Puma. Persian cougar birman, donskoy and burmese.
Bobcat burmese so british shorthair. Himalayan devonshire rex savannah, egyptian mau leopard. Norwegian forest devonshire rex, tiger, but maine coon. Balinese kitty persian or tabby or ocelot. Lynx burmese. Sphynx tomcat. Jaguar. Thai cheetah, but havana brown, abyssinian and bombay so ocelot. Balinese . Lion scottish fold or tabby or tiger norwegian forest yet persian. Panther grimalkin or turkish angora leopard bobcat tabby devonshire rex. Russian blue lion maine coon manx tom havana brown but turkish angora. Ocelot devonshire rex but norwegian forest. Savannah burmese egyptian mau or burmese yet manx. Malkin savannah kitty manx so american bobtail ocelot scottish fold. Siamese panther balinese and russian blue siberian.
Puma savannah. Ocelot devonshire rex or munchkin for leopard and scottish fold havana brown siamese. Himalayan birman. Bengal savannah norwegian forest. Cornish rex cheetah cougar leopard. British shorthair russian blue and siamese. Balinese lynx yet siamese. Singapura. Donskoy maine coon so lynx ocicat and munchkin kitten.
-
Cat ipsum dolor sit amet, american bobtail british shorthair. Havana brown lion kitty so british shorthair tiger. Manx. Tomcat burmese scottish fold for grimalkin for turkish angora yet abyssinian for bombay. Puma. Savannah scottish fold, or tom, tom savannah tom. Kitty tom. British shorthair persian maine coon but cougar.
Malkin panther or malkin for donskoy. Ocelot ocicat tabby malkin jaguar, for jaguar british shorthair. Lynx persian cougar or ragdoll. Siamese burmese yet singapura balinese , leopard for bengal or american shorthair. American shorthair tomcat himalayan. Grimalkin havana brown or cougar or birman manx tomcat.
Birman jaguar ocelot norwegian forest yet turkish angora. Singapura mouser for russian blue for singapura kitty cheetah. Tiger tabby for norwegian forest. Cornish rex persian. American shorthair cheetah but malkin, for tom burmese.
Accordion instance 2
-
Cat ipsum dolor sit amet, tiger american shorthair. Siberian. Grimalkin. American bobtail british shorthair yet bobcat and bobcat grimalkin american bobtail. Munchkin cornish rex american bobtail, for birman. American shorthair leopard. Egyptian mau leopard ragdoll, tomcat, for persian. Norwegian forest jaguar singapura or donskoy but mouser so lion, but cougar. Ocelot thai burmese, himalayan manx devonshire rex and birman. Tomcat abyssinian mouser. Birman kitten puma.
Balinese lynx but savannah yet mouser, and bengal bengal. Scottish fold mouser. Jaguar donskoy and savannah tom, munchkin ragdoll munchkin. Jaguar cheetah or bengal singapura but manx and abyssinian , but american bobtail. Havana brown russian blue malkin, but bobcat, bengal. British shorthair abyssinian sphynx tiger siamese american bobtail. Turkish angora tom yet jaguar but egyptian mau, tabby. Leopard birman, yet siberian. Jaguar scottish fold or leopard panther. Persian american shorthair for bobcat yet jaguar norwegian forest lion leopard. Cornish rex bombay for devonshire rex. Himalayan ocelot, yet lynx scottish fold or kitten turkish angora burmese.
Siamese. Manx grimalkin, so american shorthair. Ragdoll siberian yet manx and british shorthair bobcat lion or tiger.Dummy nested link.
Nested instance
-
Cat ipsum dolor sit amet, havana brown bobcat. Ocelot himalayan or mouser. Burmese sphynx or bengal american bobtail tabby. Lynx norwegian forest but lion. Tom lion and bengal or abyssinian ragdoll american shorthair bengal. Lion leopard grimalkin donskoy. Bobcat tabby. Singapura siberian malkin puma or sphynx. Panther himalayan. Bombay manx. Scottish fold. Sphynx bengal so abyssinian for cougar but singapura but tiger but lion. Leopard tiger or thai kitten. Cheetah burmese, malkin yet bengal puma.
Burmese tiger, scottish fold or munchkin, american shorthair tabby, and cougar. Siberian havana brown norwegian forest, manx ragdoll, and tom. Mouser lynx. Savannah maine coon and burmese siberian. Donskoy leopard or cougar siberian birman cornish rex. Persian tiger so mouser. Grimalkin bombay yet tiger, so bombay panther. Siamese savannah but burmese devonshire rex. Tomcat bobcat yet ragdoll tabby egyptian mau for tiger, and tiger. Leopard burmese and panther bengal for havana brown so bobcat but maine coon.Dummy nested link.
-
Cat ipsum dolor sit amet, cornish rex. Norwegian forest kitty. Birman scottish fold russian blue. Devonshire rex. Sphynx. Birman american bobtail leopard birman and abyssinian for abyssinian , donskoy. Bengal panther singapura. Abyssinian ragdoll or tom maine coon, panther, kitten ocelot. Leopard siamese. Manx ocicat. Savannah siberian. Savannah russian blue yet leopard and munchkin leopard cornish rex. Turkish angora british shorthair. Devonshire rex birman so manx and kitten. Singapura ocicat so kitty so siamese so persian bobcat. American shorthair persian. Tomcat tom but ocelot. Cornish rex persian yet himalayan malkin so birman. Singapura lion so scottish fold devonshire rex but norwegian forest but donskoy puma. Puma. Persian cougar birman, donskoy and burmese.
Bobcat burmese so british shorthair. Himalayan devonshire rex savannah, egyptian mau leopard. Norwegian forest devonshire rex, tiger, but maine coon. Balinese kitty persian or tabby or ocelot. Lynx burmese. Sphynx tomcat. Jaguar. Thai cheetah, but havana brown, abyssinian and bombay so ocelot. Balinese . Lion scottish fold or tabby or tiger norwegian forest yet persian. Panther grimalkin or turkish angora leopard bobcat tabby devonshire rex. Russian blue lion maine coon manx tom havana brown but turkish angora. Ocelot devonshire rex but norwegian forest. Savannah burmese egyptian mau or burmese yet manx. Malkin savannah kitty manx so american bobtail ocelot scottish fold. Siamese panther balinese and russian blue siberian.
Puma savannah. Ocelot devonshire rex or munchkin for leopard and scottish fold havana brown siamese. Himalayan birman. Bengal savannah norwegian forest. Cornish rex cheetah cougar leopard. British shorthair russian blue and siamese. Balinese lynx yet siamese. Singapura. Donskoy maine coon so lynx ocicat and munchkin kitten.
-
Cat ipsum dolor sit amet, american bobtail british shorthair. Havana brown lion kitty so british shorthair tiger. Manx. Tomcat burmese scottish fold for grimalkin for turkish angora yet abyssinian for bombay. Puma. Savannah scottish fold, or tom, tom savannah tom. Kitty tom. British shorthair persian maine coon but cougar.
Malkin panther or malkin for donskoy. Ocelot ocicat tabby malkin jaguar, for jaguar british shorthair. Lynx persian cougar or ragdoll. Siamese burmese yet singapura balinese , leopard for bengal or american shorthair. American shorthair tomcat himalayan. Grimalkin havana brown or cougar or birman manx tomcat.
Birman jaguar ocelot norwegian forest yet turkish angora. Singapura mouser for russian blue for singapura kitty cheetah. Tiger tabby for norwegian forest. Cornish rex persian. American shorthair cheetah but malkin, for tom burmese.
-
Cat ipsum dolor sit amet, devonshire rex, and british shorthair or bobcat. Kitten kitten burmese. Lynx havana brown savannah for tom tom tiger ragdoll. Scottish fold cougar so siamese and ocicat. American bobtail bombay. Himalayan scottish fold, tomcat but mouser.
Abyssinian malkin yet singapura tomcat. Ocicat bombay ocelot. Munchkin ragdoll devonshire rex but himalayan for lion ocicat so savannah. American bobtail thai so abyssinian , so donskoy yet birman. Leopard tiger and lynx, cornish rex and maine coon. Jaguar american bobtail. Egyptian mau. Tiger. Cornish rex lion tabby for cougar. Sphynx burmese. Birman. Turkish angora tom or bobcat, grimalkin or turkish angora lynx. Grimalkin bombay and birman. Havana brown kitty cornish rex bombay or american shorthair yet norwegian forest. Tomcat norwegian forest but persian. Lynx tomcat ocicat devonshire rex so cheetah yet cheetah. Russian blue tabby yet tabby persian donskoy. American bobtail savannah siberian mouser so birman but cougar bengal. Lynx kitty yet persian.
-
Cat ipsum dolor sit amet, grimalkin bobcat. Bengal burmese yet tom tabby or manx bengal. Tom norwegian forest or savannah so havana brown egyptian mau. Tomcat ocicat, for tabby and manx tomcat. Birman. Tabby. Donskoy havana brown. Donskoy egyptian mau.
Leopard turkish angora ocicat yet manx cheetah but burmese. Lynx. American bobtail. British shorthair scottish fold, savannah thai and cougar turkish angora. Panther norwegian forest but cornish rex egyptian mau. Russian blue bengal.
Bengal thai lion. American bobtail. Burmese bobcat bombay and thai for bombay, for persian for tabby. Jaguar puma. Tom munchkin for persian mouser. Siberian maine coon tabby, tomcat. Cougar himalayan donskoy grimalkin bobcat or ocelot.
Singapura mouser kitten or siamese persian. Mouser tabby. Lynx. British shorthair. Siberian lynx bombay so singapura. Manx mouser tom, siberian, siberian or panther. Ragdoll egyptian mau persian so tabby puma cornish rex
-
Cat ipsum dolor sit amet, lynx sphynx so maine coon. Jaguar birman. Malkin kitten. Ragdoll. British shorthair tomcat, or tabby. Kitty. Tomcat cornish rex, savannah himalayan egyptian mau or sphynx. Himalayan persian kitty, devonshire rex for balinese so munchkin abyssinian . Ragdoll jaguar persian donskoy malkin, and thai for manx. Puma. Persian bobcat for ocelot for puma or ragdoll or british shorthair. Norwegian forest kitten for turkish angora ocelot turkish angora and kitty for bengal. Havana brown leopard ocelot bobcat puma or sphynx. Tiger persian, manx so american bobtail jaguar. Persian grimalkin yet singapura yet ragdoll kitten. Grimalkin ocelot but munchkin. Tomcat manx siberian cougar siberian yet siamese thai. Balinese mouser panther bobcat and turkish angora.
Himalayan norwegian forest, for tiger. Thai ocicat. Egyptian mau himalayan but tomcat. Ragdoll lion cheetah yet cornish rex grimalkin bengal. Abyssinian devonshire rex, birman. Turkish angora tom yet havana brown cougar bobcat and american bobtail american bobtail. Turkish angora balinese panther mouser for grimalkin. Tabby american shorthair. Tiger birman but ocicat maine coon manx havana brown scottish fold. Donskoy burmese. Ragdoll. Cougar. Tiger persian so american bobtail siamese yet cornish rex. Abyssinian bombay munchkin. Balinese.


Cheers -- and Boos -- for Trump at UFC 244 for 'BMF' Fight | Breitbart
President Donald Trump was cheered by fans as he entered the arena at Madison Square Garden in New York City for UFC 244 — but there were also boos.
by https://www.facebook.com/joelpollak, Joel B. PollakVideos by fans showed the response to Trump, such as the following:
Early mainstream media reports focused on the fact that there were boos, as did Trump’s critics on social media:
However, the New York Post reported, there were more cheers than boos:
The Post story noted that Trump received “more cheers than boos,” and “had very vocal supporters inside and outside the World’s Most Famous arena.”
Donald Trump, Jr. retweeted the Post article, with a snide comment — and his tweet was retweeted by the president himself. President Trump also tweeted a photo taken at the event by Eric Trump that reported chants of “Donald Trump” and “USA”:
The Post also reported that supporters and opponents of the President both gathered outside the arena — and that supporters outnumbered opponents, two-to-one.
Trump and his family were at the event for the main attraction, the fight for the title of “BMF” (“Baddest Motherf**ker”), between Jorge Masvidal and Nate Diaz.
Masvidal had praised Trump earlier in the week:
“No matter what your views are on Trump as a president, the guy’s a bad mother f*ucker, man,” Masvidal said.
Trump and his family are long-standing UFC fans. Donald Trump, Jr. and Eric Trump both watched Colby Covington — a proud Trump supporter — win a fight in August.
Other Republicans joined Trump at the fight, including House Majority Leader Kevin McCarthy (R-CA) and Rep. Pete King (R-NY).
Joel B. Pollak is Senior Editor-at-Large at Breitbart News. He earned an A.B. in Social Studies and Environmental Science and Public Policy from Harvard College, and a J.D. from Harvard Law School. He is a winner of the 2018 Robert Novak Journalism Alumni Fellowship. He is also the co-author of How Trump Won: The Inside Story of a Revolution , which is available from Regnery. Follow him on Twitter at @joelpollak.


Context menu items are custom additions that appear in the right-click menu.
Right-click in the box below to see one called 'the-internet'. When you click it, it will trigger a JavaScript alert.


Lying on the northern shore of the large gulf of Gokova Korfezi, Bodrum is a popular port for visiting yachtsmen. It is an attractive town, although it can be rather hot and dusty in the height of the summer and, in the harbour, noisy.
The Castle of St Peter, built in the 15th century by the Knights of St John, looks over the harbour and the Mausoleum of Halicarnassus, one of only two remaining Wonders of the Ancient World, built in the fourth century B.C. is well worth a visit.
Position 37° 01'36"N, 27° 45'40" E
For the full details on Turkey Formalities go here.
All foreign-flagged yachts must clear in at a marina.
At Bodrum Karada Marina, the Customs and Immigration Authorities are situated near the eastern breakwater. The Health Authority is in the town. The marina can usually arrange the necessary formalities, including the issue of the necessary Transit Log.
D-Marin and Port Bodrum are also now regular Ports of Entry, and formalities are easily completed with all the authorities housed in the same building at the marina.
At Milta Marina, moor at the Customs dock. The travel agency on the site charges a fee for completing clearance and providing the necessary documents.
For clearing out it is recommended cruisers speak to the Harbour Master first. Double handed yachts have reported that they were not required to use an agent for clearing out (just 2 crew). Agents charge approx. 85 Euros for this service. All the offices, Harbor Master, Port Police (passport Control), and finally Customs are located close to the castle and are within walking distance.
Last updated June 2013.
There is a marina at Bodrum itself and a new one to the west, at Turgutreis. Ten miles NW of the town at Yalikavak, across the Bodrum Peninsula, is the new Palmarina Bodrum, run by Camper & Nicholsons.
The "Blue Card" waste disposal monitoring scheme started to be enforced at the beginning of 2012. The Blue Card theoretically relates to the whole of Mugla province, north of Bodrum to just north of Kas. Find out more about requirements here.
There is a good anchorage east of the castle in 6-7m over black sand. Check the anchor is properly dug in as the bottom has a lot of debris scattered over it
Last updated August 2016.
There are yacht clubs at all three of the marinas.


What is an Ontology?
"An ontology is an explicit specification of some topic. For our purposes, it is a formal and declarative representation which includes the vocabulary (or names) for referring to the terms in that subject area and the logical statements that describe what the terms are, how they are related to each other, and how they can or cannot be related to each other. Ontologies therefore provide a vocabulary for representing and communicating knowledge about some topic and a set of relationships that hold among the terms in that vocabulary (From the Stanford Knowledge Systems Lab)."
Given below are some resources for known ontologies. If you encounter a broken link or come across a useful resource, not listed here, please e-mail me at<EMAIL_ADDRESS>Gene Ontology (GO) an ontology describing the molecular function, the biological process and cellular location of gene products from eukaryotes.
OBO Open Biological Ontologies is an umbrella web address for well-structured controlled vocabularies for shared use across different biological domains. This site contains ontologies and points to some other efforts within the community. Ideally we see a range of ontologies being designed for biological domains. Some of these will be generic and apply across all organisms and others will be more restricted in scope, for example to specific taxonomic groups.
Sequence Ontology Project The Sequence Ontology is a set of terms used to describe features on a nucleotide or protein sequence. It encompasses both "raw" features, such as nucleotide similarity hits, and interpretations, such as gene models. The Sequence Ontologies are provided as a resource for the bioinformatics community. They have the following obvious uses:
- To provide for a structured controlled vocabulary for the description of primary annotations of nucleic acid sequence, e.g. the annotations shared by a DAS server.
- To provide for a structured representation of these annotations within genomic databases. Were genes within model organism databases to be annotated with these terms then it would be possible to query all these databases for, for example, all genes whose transcripts are edited, or trans-spliced, or are bound by a particular protein.
- To provide a structured controlled vocabulary for the description of mutations at both sequence and more gross level in the context of genomic databases. We have also defined attributes for many of the terms. Pro tem these are held in the "comment:" field of the definitions file.
Edinburgh Mouse Atlas Project The UK MRC Human Genetics Unit in Edinburgh is developing a digital atlas of mouse development and database to be a resource for spatially mapped data such as in situ gene expression and cell lineage. The project is in collaboration with the Section of Biomedical Sciences within the Division of Biomedical and Clinical Sciences at the University of Edinburgh. This research programme is the Edinburgh Mouse Atlas Project (emap).
Ontology Lookup Service (OLS)
List of Ontologies
Semantic Mining - semantic
interoperability and data mining in medicine
The MGED ontology working group aim to develop ontologies for describing gene expression experiments and data.
PharmGKB: Pharmacogenetics Knowledge Base.
Human Phenotype Ontology
TAMBIS Ontology The TAMBIS Ontology (TaO)is an ontology of molecular biological and bioinformatics concepts. The Terminology Server provides a number of services for terminological or concept models such as what can I say about concept X? or is concept Y coherent? or what are the immediate parents and/or children of concept Z? Together they form a Biological Terminology Concept Server used by TAMBIS.
RiboWeb an ontology describing ribosomal components, associated data and computations for processing those data.
Cell Cycle Ontology The Cell Cycle
Ontology project aims to extend the existing
ontologies for cell cycle knowledge, to
build a resource that integrates and manages
knowledge about the cell cycle components
and regulatory aspects in OBO and OWL. This
knowledge is assembled from a diverse set of
already existing resources (GO, UniProt,
IntAct, BIND, NCBI taxonomy, and so forth):
the combination of the knowledge will give
an overall picture of the cell division
process (Download).
NCI Enterprise Vocabulary Services (EVS)
- a set of services and resources that
address NCI's needs for controlled
vocabulary
BioCyc The BioCyc Knowledge Library is a collection of Pathway/Genome Databases. Each database in the BioCyc collection describes the genome and metabolic pathways of a single organism, with the exception of the MetaCyc database, which is a reference source on metabolic pathways from many organisms.
BioModels database and Systems Biology
Ontologies (SBO) project
Ontologies for molecular biology and
bioinformatics: an account of what
concept ontologies in the domain of biology
and bioinformatics are; what they are not;
how they can be constructed; how they can be
used; and some fallacies and pitfalls
creators and users should be aware of.
ImMunoGeneTics (IMGT) Ontology
Mouse Anatomical Dictionary
EpoDB Controlled Vocabulary function, cell and tissue type, developmental stage and experimental type.
CBIL Controlled Vocabulary Terms for human anatomy.
STAR/mmCIF Macromolecule structure ontology.
STAR/mmCIF Signal Transduction Knowledge #Environment (STKE).
GeneX Ontologies for comparing gene expression across species.
flybase controlled vocabulary for fly anatomy used for describing phenotypes.
BioNLP Resources: A good compilation of many of the freely available resources either used directly and cited or of potential use by researchers applying NLP/text mining to biomedical literature.
OpenNLP Resources: OpenNLP provides the organizational structure for coordinating several different projects which approach some aspect of Natural Language Processing. OpenNLP also defines a set of Java interfaces and implements some basic infrastructure for NLP components.
Barry Smith's Ontological Resources: No ontologies resources can be complete without this! Also check the
Buffalo Ontology site.
Systems
biology-funded centers:
Semantic Web & Related
Resources
Ontology Development Tools
-
Protégé 2000: a tool which allows the user to construct a domain ontology, customize knowledge-acquisition forms and enter domain knowledge. Its a a platform which can be extended with graphical widgets for tables, diagrams, animation components to access other knowledge-based systems embedded applications.
-
GKB Editor The Generic Knowledge Base Editor.
-
Wonder Tools A support for choosing an ontology building tool.
-
OilEd It is an ontology editor allowing the user to build ontologies using DAML+OIL. For further details and information about DAML+OIL, consult the
DAML Pages.
Bio-Ontology and Related Publications
- Feigenbaum L,
Martin S, Roy MN, Szekely B, Yung WC. Boca:
an open-source RDF store for building
Semantic Web applications. Brief Bioinform.
2007 May 8; [Epub
ahead of print]
-
Gordon PM, Trinh Q,
Sensen CW. 2007. Semantic Web Service
Provision: a Realistic Framework for
Bioinformatics Programmers.
Bioinformatics. 2007 Mar 24.
-
Wang X, Gorlitsky R,
Almeida JS. 2005. From XML to RDF: how
semantic web technologies will change the
design of 'omic' standards.
Nat Biotechnol. 23(9): 1099-1103.
- Vyas H, Summers R.
2005. An information-driven approach to
pharmacogenomics.
Pharmacogenomics. 6(5):473-80.
-
Bodenreider O, Stevens R. 2006. Bio-ontologies:
current trends and future directions.
Brief Bioinform. 7(3): 256-274.
-
Blake
JA, Bult CJ. 2006. Beyond the data deluge:
data integration and bio-ontologies.
J Biomed Inform. 39(3): 314-320.
-
Cheung KH, Yip KY,
Smith A, Deknikker R, Masiar A, Gerstein M.
2005. YeastHub: a semantic web use case for
integrating data in the life sciences
domain.
Bioinformatics. 21 Suppl 1: i85-i96.
-
Blake J. 2004. Bio-ontologies-fast and furious.
Nat Biotechnol. 22: 773-774.
- Bard J. 2003. Ontologies: Formalising biological knowledge for bioinformatics. Bioessays 25(5): 501-506.
- Ashburner M, Mungall CJ, Lewis SE. 2003. Ontologies for biologists: a community model for the annotation of genomic data. Cold Spring Harb Symp Quant Biol. 68: 227-235.
- Bard JB, Rhee SY. 2004. Ontologies in biology: design, applications and future challenges. Nat Rev Genet. 5(3): 213-222.
- Lan N, Montelione GT, Gerstein M. 2003. Ontologies for proteomics: towards a systematic definition of structure and function that scales to the genome level. Curr Opin Chem Biol. 7(1): 44-54.
- Andrey Rzhetsky, Tomohiro Koike, Sergey Kalachikov, Shawn M. Gomez, Michael Krauthammer, Sabina H. Kaplan, Pauline Kra, James J. Russo, and Carol Friedman. A Knowledge Model for Analysis and Simulation of Regulatory Networks. Bioinformatics, 16:1120-1128, 2000.
- Toni Kazic. Semiotes: A Semantics for Sharing. Bioinformatics, 16:1129-1144, 2000.
- P.D. Karp, M. Riley, M. Saier, I.T. Paulsen, S.M. Paley, and A. Pellegrini-Toole. The EcoCyc and MetaCyc Databases. Nucleic Acids Research, 28:56-59, 2000.
- R. Stevens, P. Baker, S. Bechhofer, G. Ng, A. Jacoby, N.W. Paton, C.A. Goble, and A. Brass. TAMBIS: Transparent Access to Multiple Bioinformatics Information Sources. Bioinformatics, 16(2):184-186, 2000.
- P.G. Baker, C.A. Goble, S. Bechhofer, N.W. Paton, R. Stevens, and A Brass. An Ontology for Bioinformatics Applications. Bioinformatics, 15(6):510-520, 1999.
- J.D. Westbrook and P.E. Bourne. STAR/mmCIF: An Ontology for Macromolecular Structure. Bioinformatics, 16(2):159-168, 2000.
- P.D. Karp. An Ontology for Biological Function Based on Molecular Interactions. Bioinformatics, 16:269-285, 2000.
- The Gene Ontology Consortium. Gene Ontology: Tool for the Unification of Biology. Nature Genetics, 25:25-29, 2000.
- Veronique Giudicelli and Marie-Paule Lefranc. Ontology for Immunogenetics: The IMGT-ONTOLOGY. Bioinformatics, 15(12):1047-1054, 1999.
- P. Karp and S. Paley. Integrated Access to Metabolic and Genomic Data. Journal of Computational Biology, 3(1):191-212, 1996.
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ASN1PARSE
Section: OpenSSL (1)Updated: 2006-11-07
Index Return to Main Contents
NAME
asn1parse - ASN.1 parsing toolSYNOPSIS
openssl asn1parse [-inform PEM|DER] [-in filename] [-out filename] [-noout] [-offset number] [-length number] [-i] [-oid filename] [-strparse offset] [-genstr string] [-genconf file]DESCRIPTION
The asn1parse command is a diagnostic utility that can parse ASN.1 structures. It can also be used to extract data from ASN.1 formatted data.OPTIONS
- -inform DER|PEM
- the input format. DER is binary format and PEM (the default) is base64 encoded.
- -in filename
- the input file, default is standard input
- -out filename
- output file to place the DER encoded data into. If this option is not present then no data will be output. This is most useful when combined with the -strparse option.
- -noout
- don't output the parsed version of the input file.
- -offset number
- starting offset to begin parsing, default is start of file.
- -length number
- number of bytes to parse, default is until end of file.
- -i
- indents the output according to the ``depth'' of the structures.
- -oid filename
- a file containing additional OBJECT IDENTIFIERs (OIDs). The format of this file is described in the NOTES section below.
- -strparse offset
- parse the contents octets of the ASN.1 object starting at offset. This option can be used multiple times to ``drill down'' into a nested structure.
- -genstr string, -genconf file
- generate encoded data based on string, file or both using ASN1_generate_nconf(3) format. If file only is present then the string is obtained from the default section using the name asn1. The encoded data is passed through the ASN1 parser and printed out as though it came from a file, the contents can thus be examined and written to a file using the out option.
OUTPUT
The output will typically contain lines like this:
0:d=0 hl=4 l= 681 cons: SEQUENCE
.....
229:d=3 hl=3 l= 141 prim: BIT STRING 373:d=2 hl=3 l= 162 cons: cont [ 3 ] 376:d=3 hl=3 l= 159 cons: SEQUENCE 379:d=4 hl=2 l= 29 cons: SEQUENCE 381:d=5 hl=2 l= 3 prim: OBJECT :X509v3 Subject Key Identifier 386:d=5 hl=2 l= 22 prim: OCTET STRING 410:d=4 hl=2 l= 112 cons: SEQUENCE 412:d=5 hl=2 l= 3 prim: OBJECT :X509v3 Authority Key Identifier 417:d=5 hl=2 l= 105 prim: OCTET STRING 524:d=4 hl=2 l= 12 cons: SEQUENCE
.....
This example is part of a self signed certificate. Each line starts with the offset in decimal. d=XX specifies the current depth. The depth is increased within the scope of any SET or SEQUENCE. hl=XX gives the header length (tag and length octets) of the current type. l=XX gives the length of the contents octets.
The -i option can be used to make the output more readable.
Some knowledge of the ASN.1 structure is needed to interpret the output.
In this example the BIT STRING at offset 229 is the certificate public key. The contents octets of this will contain the public key information. This can be examined using the option -strparse 229 to yield:
0:d=0 hl=3 l= 137 cons: SEQUENCE 3:d=1 hl=3 l= 129 prim: INTEGER :E5D21E1F5C8D208EA7A2166C7FAF9F6BDF2059669C60876DDB70840F1A5AAFA59699FE471F379F1DD6A487E7D5409AB6A88D4A9746E24B91D8CF55DB3521015460C8EDE44EE8A4189F7A7BE77D6CD3A9AF2696F486855CF58BF0EDF2B4068058C7A947F52548DDF7E15E96B385F86422BEA9064A3EE9E1158A56E4A6F47E5897 135:d=1 hl=2 l= 3 prim: INTEGER :010001
NOTES
If an OID is not part of OpenSSL's internal table it will be represented in numerical form (for example <IP_ADDRESS>). The file passed to the -oid option allows additional OIDs to be included. Each line consists of three columns, the first column is the OID in numerical format and should be followed by white space. The second column is the ``short name'' which is a single word followed by white space. The final column is the rest of the line and is the ``long name''. asn1parse displays the long name. Example:
"<IP_ADDRESS> shortName A long name"
EXAMPLES
Parse a file:
openssl asn1parse -in file.pem
Parse a DER file:
openssl asn1parse -inform DER -in file.der
Generate a simple UTF8String:
openssl asn1parse -genstr 'UTF8:Hello World'
Generate and write out a UTF8String, don't print parsed output:
openssl asn1parse -genstr 'UTF8:Hello World' -noout -out utf8.der
Generate using a config file:
openssl asn1parse -genconf asn1.cnf -noout -out asn1.der
Example config file:
asn1=SEQUENCE:seq_sect [seq_sect] field1=BOOL:TRUE field2=EXP:0, UTF8:some random string
BUGS
There should be options to change the format of output lines. The output of some ASN.1 types is not well handled (if at all).SEE ALSO
ASN1_generate_nconf(3)
Index
This document was created by man2html, using the manual pages.
Time: 05:29:01 GMT, December 24, 2015


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Memory Overflow
Memory Overflow is a TOTALLY FREE card game designed by developers for developers.
You will find here all the resources to be able to play with other developers and become THE Developer Master.
How to play?
Memory Overflow is a card game where two players battle to control The Machine. The first to reach the specific number requested by The Machine wins. Be careful, if your number is larger than the requested number, The Machine destroys you instantly. It's called the Memory Overflow.
The project
The project is maintened by an enthusiast community of Special Agents working for The Machine. They work together on enhancing the game by making new cards, templates and more on GitHub.


Last week we talked about the application's threat model. Now let's talk about securing our infrastructure.
In general our infrastructure philosophy starts with: The network is hostile. This includes our (cloud) providers. Customer data needs to be readable to us so we know who to bill and how much. This data still needs to be protected. The technical conclusion to this is that we cannot send data in the clear between any of our services. If we consider (filesystem) storage, databases, and backups to be services, it simply means we cannot store data in the clear, period.
The Fallacies Of Distributed Computing
As far as the network is concerned, we can begin by looking at the classic The Eight Fallacies of Distributed Computing
- The network is reliable.
- Latency is zero.
- Bandwidth is infinite.
- The network is secure.
- Topology doesn't change.
- There is one administrator.
- Transport cost is zero.
- The network is homogeneous.
As far as our application is concerned, the first four points are the most interesting to us. Especially as it pertains to the application's security.
The other issues are not very relevant to us: because we operate on too high a level, we hardly notice anything about Topology.
And since we are native to the cloud, we are aware that the network is not homogeneous. We're also aware that of transport cost. But the data we're exchanging (Javascript to the browser, and encrypted blobs to and from the application) are so small, that we can neglect this, too.
So let's look at the things that do affect us.
The network is reliable, latency is zero
Based on several informal surveys of real-world communications failures, we know that the network is not reliable. However, before we can attempt to shield against these vulnerabilities, we have to consider what kind of availability our application is supposed to offer.
Apart from the initial load, communication with an API is the only part vulnerable to a volatile network in a web application. Thus we can set our primary goal to have an "offline-first" experience. That means, the application — once loaded — should work, regardless of connectivity.
For such an experience, we are evaluating databases that can keep data offline in the browser, and sync with the service provider as soon as there's (an acceptable) connectivity.
Bandwidth is infinite
Our company's 8 year old billing data is currently about 2MiB in size. From this point of view, at least after an initial sync, the bandwidth is practically infinite.
The network is secure
The first layer of protection between the browser running the app, and the server delivering it is TLS. HTTPS — more so than any other TLS based protocol, has made giant leaps ahead when it comes to setting and improving security standards. The primary goal of all these measures is to make Man-in-the-middle-attacks close to impossible, and thus increase the trust in the authenticity of the programs and data.
Qualys' SSL Test is perhaps the first stop for verifying in how far we comply with these standards. If you look at that page, you will notice a lot is missing. There main reason for this is that a lot of these security measures are best served when DNSSec is in place, and unfortunately, this is not the case for any of the providers we're currently using.
While this area is still feels like a gaping hole in our security measures, at least it has a very clear road map.
Similar things can be said and done for the HTTP headers that browsers rely on, for validating which JavaScript can come from which domain, and what it's allowed to access. In this case, the list is short, but the road-map is equally clear: Try not to fall into any of OWASP's Top 10 issues
This blog post wouldn't be about infrastructure, however, if we didn't talk about automation! So what's better than looking at these reports once? Having a robot look at them every day, and tell us when something changes! Fortunately, SSL-labs has opened their API to such use, which means that we'll be able to integrate it during builds, or as a final step in our deployment pipeline!
There is one administrator.
Our application is primarily developed for (and in) the cloud. "The Cloud" doesn't have just one administrator, and we cannot trust any of them. This means for us that we cannot trust clear-text connections between any of our services.
Since storage is a service, this first and foremost means that we cannot store anything unencrypted. One of the most crucial data — our customers's names, addresses, and emails need to be readable to us. This is our only vulnerable set of data, and must be protected from leaks. So for us, it's clear that we cannot store this data unencrypted anywhere. Not trusting our providers also means that our databases must use TLS when syncing. It means that our backups must be encrypted and must be sent (and restored) via TLS. Our preferred backup provider for this is tarsnap. And it means that we need to talk TLS to our CDN and SSO.
What makes this tricky is that many of these technologies will not have the same kinds of standards we discussed above with regards to preventing MITM attacks. But, as Let's Encrypt has shown, agility can go a long way towards providing a resilient security:
Being able to quickly (and automatically) rotate credentials — including (very short-lived) certificates, makes this possible. Vault for instance, is a technological solution to exactly this problem which we will closely examine as a core component of our architecture.
Having now so successfully secured our infrastructure, next week we'll look at the final component: The code.


OpynCorporates is a lightweight Python wrapper around the OpenCorporates API. It is designed to help users query the OpenCorporates API without having to build complex urls for each of their requests.


HOW ST PIRAN REACHED CORNWALL.
GOOD men are frequently persecuted by those whom they have benefited the most. The righteous Piran had, by virtue of his sanctity, been enabled to feed ten Irish kings and their armies for ten days together with three cows. He brought to life by his prayers the dogs which had been killed while hunting the elk and the boar, and eyen restored to existence many of the warriors who had fallen on the battle-field. Notwithstanding this, and his incomparable goodness, some of these kings condemned him to be cast off a precipice into the sea, with a millstone around his neck.
On a boisterous day, a crowd of the lawless Irish assembled on the brow of a beetling cliff, with Piran in chains. By great labour they had rolled a huge millstone to the top of the hill, and Piran was chained to it. At a signal from one of the kings, the stone and the saint were rolled-to the edge of and suddenly over, the cliff intd the Atlantic. The winds were blowing tempestuously, the heavens were dark with clouds, and the waves white with crested foam. No sooner was Piran and the millstone launched into space, than the sun shone out brightly, casting the full lustre of its beams on the holy man, who sat tranquilly on the descending stone. The winds died away, and th~ waves became smooth as a mirror. The moment the millstone touched the water, hundreds were converted to Christianity who saw this miracle. St Piran floated on safely to Cornwall; he landed on the 5th of March on the sands which bear his name. He lived amongst the Cornish men until he attained the age of 206 years. [a]
[a] See Gilbert, vol. . p. 329. See Appendix R. The name of this saint is written Piran, Peran, and Perran.


Below are three visualizations of the same dataset––the population of immigrants, split up on the basis of country of origin, living in the USA in ~2014-15. The data is taken from the 2015 1-year American Community Survey (ACS).
These visualizations have been undertaken moreso as an exploration of the technical work of handling and representing data in Javascript than any exercise in the art of data visualization, or a foray into the work of data visualization as art.
All of the visualizations below were created using the D3 library of Javascript. The coloring of the elements of all three is randomized, using a function and an array of predefined color values.
If you would like to see which immigrant population is represented by which visual element, simply hover your mouse over it.
Circles are notoriously unreliable as graphic representations of data. All the same, they are compelling visual analogies for cluster or buckets of quantified stuff.
Within data visualization communities, it is conventionally held that circles need to be scaled by area rather than radius, so as to better match how we (the eye and the brain) perceive the size of circles. Nevertheless, the visualization above, whose circles are indeed scaled by area (using D3's square root scale), does not bear much resemblance with visualization three below, which is the most graphically accurate.
Where this visualization succeeds, though, is in the logarithmic scaling of the x-axis, which controls the circles' distribution along the x-axis as well as the numerical ticks along the x-axis. This scaling squeezes portions of the dataset along a logarithmic curve, which helps to show that the far preponderance of immigrant nationalities falls between the 20k and 500k ticks, while the actual majority in terms of population reside in the nine or so countries to the right (or greater than) the ~700k mark.
This visualization is a circle pack. As far as visualizations go, it is not necessarily the best use of space, and doesn't particularly represent the populations too well. What circle packing is well suited for is the representation of hierarchy or density. This visualization, for example, has an almost biological look to it——each inner sphere has a cellular look to it, while the parent sphere almost looks like some sort of organism. Overall, it confers an organic feel to the data——communities and people interlocking and co-existing in the more general context of the country, the former comprising and coloring the makeup of the latter.
From a technical point of view, the majority of the work that went into this visualization revolved around handling the data. In order to create a circle pack, it is necessary to make the data hierarchical (it was no initially). This was accomplished using D3's nest and hierarchy methods, as well as a handful of submethods chained within these latter two.
This visualization, a bar chart, is the most pedestrian and recognizable of the three, and yet it is also the most effective at faithfully representing the data.


minesweeper
Size
Mines
(0% density)
instructions
- change size and mine count
- yellow smiley starts a new game
- red smiley shows mines
- left number is time in seconds
- right number is number of clicks
- left click cell to reveal
- right click cell to flag


Subject Activity_Id Activity_Label timeBodyAccelerometer-mean()-X timeBodyAccelerometer-mean()-Y timeBodyAccelerometer-mean()-Z timeBodyAccelerometer-std()-X timeBodyAccelerometer-std()-Y timeBodyAccelerometer-std()-Z timeGravityAccelerometer-mean()-X timeGravityAccelerometer-mean()-Y timeGravityAccelerometer-mean()-Z timeGravityAccelerometer-std()-X timeGravityAccelerometer-std()-Y timeGravityAccelerometer-std()-Z timeBodyAccelerometerJerk-mean()-X timeBodyAccelerometerJerk-mean()-Y timeBodyAccelerometerJerk-mean()-Z timeBodyAccelerometerJerk-std()-X timeBodyAccelerometerJerk-std()-Y timeBodyAccelerometerJerk-std()-Z timeBodyGyroscope-mean()-X timeBodyGyroscope-mean()-Y timeBodyGyroscope-mean()-Z timeBodyGyroscope-std()-X timeBodyGyroscope-std()-Y timeBodyGyroscope-std()-Z timeBodyGyroscopeJerk-mean()-X timeBodyGyroscopeJerk-mean()-Y timeBodyGyroscopeJerk-mean()-Z timeBodyGyroscopeJerk-std()-X timeBodyGyroscopeJerk-std()-Y timeBodyGyroscopeJerk-std()-Z timeBodyAccelerometerMagnitude-mean() timeBodyAccelerometerMagnitude-std() timeGravityAccelerometerMagnitude-mean() timeGravityAccelerometerMagnitude-std() timeBodyAccelerometerJerkMagnitude-mean() timeBodyAccelerometerJerkMagnitude-std() timeBodyGyroscopeMagnitude-mean() timeBodyGyroscopeMagnitude-std() timeBodyGyroscopeJerkMagnitude-mean() timeBodyGyroscopeJerkMagnitude-std() frequencyBodyAccelerometer-mean()-X frequencyBodyAccelerometer-mean()-Y frequencyBodyAccelerometer-mean()-Z frequencyBodyAccelerometer-std()-X frequencyBodyAccelerometer-std()-Y frequencyBodyAccelerometer-std()-Z frequencyBodyAccelerometer-meanFreq()-X frequencyBodyAccelerometer-meanFreq()-Y frequencyBodyAccelerometer-meanFreq()-Z frequencyBodyAccelerometerJerk-mean()-X frequencyBodyAccelerometerJerk-mean()-Y frequencyBodyAccelerometerJerk-mean()-Z frequencyBodyAccelerometerJerk-std()-X frequencyBodyAccelerometerJerk-std()-Y frequencyBodyAccelerometerJerk-std()-Z frequencyBodyAccelerometerJerk-meanFreq()-X frequencyBodyAccelerometerJerk-meanFreq()-Y frequencyBodyAccelerometerJerk-meanFreq()-Z frequencyBodyGyroscope-mean()-X frequencyBodyGyroscope-mean()-Y frequencyBodyGyroscope-mean()-Z frequencyBodyGyroscope-std()-X frequencyBodyGyroscope-std()-Y frequencyBodyGyroscope-std()-Z frequencyBodyGyroscope-meanFreq()-X frequencyBodyGyroscope-meanFreq()-Y frequencyBodyGyroscope-meanFreq()-Z frequencyBodyAccelerometerMagnitude-mean() frequencyBodyAccelerometerMagnitude-std() frequencyBodyAccelerometerMagnitude-meanFreq() frequencyBodyAccelerometerJerkMagnitude-mean() frequencyBodyAccelerometerJerkMagnitude-std() frequencyBodyAccelerometerJerkMagnitude-meanFreq() frequencyBodyGyroscopeMagnitude-mean() frequencyBodyGyroscopeMagnitude-std() frequencyBodyGyroscopeMagnitude-meanFreq() frequencyBodyGyroscopeJerkMagnitude-mean() frequencyBodyGyroscopeJerkMagnitude-std() frequencyBodyGyroscopeJerkMagnitude-meanFreq()


突然收到Pownce的邮件，告知其服务将在近期关闭。
Pownce是我比较喜欢的一个服务，可惜。
以下是邮件全文：
from Pownce <
<EMAIL_ADDRESS>reply-to Pownce <
<EMAIL_ADDRESS>to
<EMAIL_ADDRESS>date Tue, Dec 2, 2008 at 10:49 AM
subject Pownce is shutting down
mailed-by
b.cts.vresp.com
signed-by
vresp.com
hide details 10:49 AM
We are sad to announce that Pownce is shutting down on December 15,
2008. As of today, Pownce will no longer be accepting new users or new
pro accounts.
To help with your transition, we have built an export tool so you can
save your content. You can find the export tool at Settings > Export.
Please export your content by December 15, 2008, as the site will not
be accessible after this date.
Please visit our new home to find out more:
http://www.sixapart.com/pownce
Our thanks go out to everyone who contributed to the Pownce community,
The Pownce Crew


This text will appear as comment for a line with Klocwork issue in Gerrit review.
There are some tags available:
* <id> - will be replaced with issue id;
* <file> - will be replaced with file name;
* <line> - will be replaced with line number;
* <severity> - will be replaced with issue severity;
* <method> - will be replaced with method name;
* <title> - will be replaced with issue title;
* <message> - will be replaced with issue message;
* <url> - will be replaced with link to rule description on Klocwork;
Please note that only filtered by severity level issues and their counts will be shown in report.


'A large company pays its salespeople on a commission basis. The salespeople receive $200 per week, plus 9% of their gross sales for that week. The following webpage calculates how much a salesperson sold and earned, based on the items sold.'
Salesperson's Name:


{% extends "../htmlForms.html" %} {% block demoSectionClasses %}demo_html_forms_multiple{% endblock %} {% block meta_title %}Demos - HTML Forms - Multiple Fields{% endblock %} {% block meta_description %}Multiple Fields HTML Forms with complex validation demo{% endblock %} {% set demoId = "multiple" %} {% block scripts %} {% endblock %} {% block demoBody %}
Please note :
Validation Messages
can be displayed.
In this demo, we're going to look at more complex validation, where many different types of fields are validated, and where the validity of some fields depends on the value of other fields.
Enter any valid or invalid values in the following form and submit it to see the validation in action!
You can also try the tests suggested on the right...
HTML
template (the frontend part) :
multiple.html
We already introduced the process of validating a form in the Introduction demo. In this one, we focus mostly on how to display the various types of fields, how to validate a field by comparing its value with another field, and how to run conditional validations.
Let's first examine how we render the fields in the
HTML
template, and how we use Validation Filters
for the validation messages
...
The "email"
and "emailAgain"
are simple text inputs.
Here's the "email"
field :
{% verbatim %}
<input type="text" class="form-control" id="email" name="demoForm.email" placeholder="Email" value="{{demoForm.email | default('')}}" /> {{validation['demoForm.email'] | validationMessages()}}We use
"{{demoForm.email | default('')}}"
to
fill the inital value [3] and "{{validation['demoForm.email'] | validationMessages()}}"
to display the potential Validation Messages
[4].
The tags
section is more interesting :
{% verbatim %}

 Tags * {{validation['demoForm.tags'] | validationGroupMessages()}}

 <input type="text" class="form-control {{validation['demoForm.tags[0]'] | validationClass()}}" id="tag1" name="demoForm.tags[0]" placeholder="Tag 1" value="{{demoForm.tags[0] | default('')}}" /> {{validation['demoForm.tags[0]'] | validationMessages()}} <input type="text" class="form-control {{validation['demoForm.tags[1]'] | validationClass()}}" id="tag2" name="demoForm.tags[1]" placeholder="Tag 2" value="{{demoForm.tags[1] | default('')}}" /> {{validation['demoForm.tags[1]'] | validationMessages()}} <input type="text" class="form-control {{validation['demoForm.tags[2]'] | validationClass()}}" id="tag3" name="demoForm.tags[2]" placeholder="Tag 3" value="{{demoForm.tags[2] | default('')}}" /> {{validation['demoForm.tags[2]'] | validationMessages()}}

Those fields form a group. We can know this by looking at their
"name"
attributes : "demoForm.tags[0]"
,
"demoForm.tags[1]"
and "demoForm.tags[2]"
. This syntax
indicates that those fields are part of the same group and have a specific position in it.
At the top of this code snippet, you can see that there is section which
describe the section those fields are in : "Tags *"
. We
use this zone to output the Validation Messages
associated with the
group itself :
{% verbatim %}
{{validation['demoForm.tags'] | validationGroupMessages()}}
"tag"
field is invalid, this filter will display an
error : "Some tags are invalid."
. This error is not associated
with a particular field, but with the group itself.
Next, we have the "Favorite drink"
radio buttons group.
In this section too we have
a zone where some Validation Messages
may be displayed for the group itself :
{% verbatim %}

 Favorite drink * {{validation['demoForm.drink'] | validationGroupMessages()}}

Otherwise, every radio button of the group is listed using a code similar to this : {% verbatim %}

  <input type="radio" id="drink0" name="demoForm.drink" {{demoForm.drink | checked("tea")}} value="tea" /> Tea

  <input type="radio" id="drink1" name="demoForm.drink" {{demoForm.drink | checked("coffee")}} value="coffee" /> Coffee
 //...
Explanation :
"name"
attribute! Not only does this
make the fields being a group in the eyes of the browser (only one radio button
of this group can be checked at a given time), but it also tells Spincast that those
radio buttons are part of the same group.
checked(...)
filter to determine if a radio button must be checked or not. Learn
more about this filter in the Provided functions and filters
section.
The "Pick 2 numbers *"
section allows more than one option to be picked, so
checkboxes are used :
{% verbatim %}

  <input type="checkbox" id="num1" name="demoForm.numbers[0]" {{demoForm.numbers[0] | checked("1")}} value="1" /> 1

  <input type="checkbox" id="num2" name="demoForm.numbers[1]" {{demoForm.numbers[1] | checked("2")}} value="2" /> 2
 //...
Those checkboxes are part of the same group, so we want to receive them as an array
when the form is submitted. For that reason,
it's recommended to use brakets ("[]"
) at the end of their "name"
attributes and, when possible, to specify the position of the element inside those brackets.
As for the "drink"
radio buttons fields,
we use the checked(...)
filter to determine if an option must be checked
or not.
Finally, the "Favourite music styles?"
and the "Action on submit"
are both <select>
fields. The first one, "musicStyles"
,
allow multiple options to be selected :
{% verbatim %}
<select multiple id="musicStyles" name="demoForm.musicStyles[]" class="form-control"> <option value="rock" {{demoForm.musicStyles | selected("rock")}}>Rock</option> <option value="pop" {{demoForm.musicStyles | selected("pop")}}>Pop</option> <option value="jazz" {{demoForm.musicStyles | selected("jazz")}}>Jazz</option> <option value="metal" {{demoForm.musicStyles | selected("metal")}}>Metal</option> <option value="classical" {{demoForm.musicStyles | selected("classical")}}>Classical</option> </select>
Since more than one option can be selected, we make the "name"
attribute of this
field end with "[]"
. That way, the selected options are always going to be grouped
together as an array when the form is submitted.
Note that with <select>
fields, we use the selected(...)
filter to determine if an option must be selected or not. This filter is going to output a "selected"
attribute, where required.
The last thing on the frontend we'll going to have a look at is how to display the status of the form itself. Notice that we display a message at the top of the form to show if it is valid or not : {% verbatim %}
{% if validation['demoForm._'] | validationSubmitted()%} {% if validation['demoForm._'] | validationHasErrors() %} {% set alertClass = "alert-danger" %} {% set status = "contains errors" %} {% elseif validation['demoForm._'] | validationHasWarnings() %} {% set alertClass = "alert-warning" %} {% set status = "contains warnings" %} {% elseif validation['demoForm._'] | validationIsValid() %} {% set alertClass = "alert-success" %} {% set status = "is valid" %} {% endif %}

  The Form {{status}}

 {% endif %}
Explanation :
"_"
element is a special element which
represents a Validation Set
itself.
validationHasErrors()
filter [4],
the validationHasWarnings()
filter [8] and
the validationIsValid()
filter [12] to
pick the appropriate CSS
class and status to use for the message we're going to
display.
CSS
class.
On the backend, this demo shows how to run a validation or not depending on the result of a previous validation. For example :
String email = form.getString("email"); if (StringUtils.isBlank(email)) { form.addError("email", "email_empty", "The email is required"); } if (form.isValid("email") && !form.validators().isEmailValid(email)) { form.addError("email", "email_invalid", "The email is invalid"); }
As you can see, we only perform the second validation if the first one is a success! This is often very useful since we do not want to display multiple error messages for a single field when, in fact, the field was simply left empty.
In this demo, we also see how to validate a field by comparing it's value to the value of another field. For example :
String email = form.getString("email"); // ... String emailAgain = form.getString("emailAgain"); // ... if (form.isValid("emailAgain") && !emailAgain.equals(email)) { form.addError("emailAgain", "emailAgain_mustMatch", "Must match the first email field."); }
There are more validations performed in this demo! We suggest you have a look at DemoHtmlFormsMultipleFieldsController code to see all of them.
Make sure you also try the first demo of this section, Introduction - Single field which introduces forms and validation using Spincast.
Otherwise, you can learn everything about forms and validation in the dedicated Forms section of the documentation.
{% endblock %}


--- layout: page title: About Me description: This is what I do. background: '/img/bg-index.jpg' ---
OpenWeasel was founded by James Houston to serve a security need in a manufacturing plant. As of late there has been more focus on fintech solutions.


Declarations in a module (and therefore also an object or isolate) can be qualified by one of three different levels of visibility, similar to the visibility qualifiers in a conventional programmaing language:
- specification declarations, in a
specification { ... }
block - implementation declarations, in an
implementation { ... }
block - private declarations, in a
private { ... }
block
These blocks may occur (syntactically) within module, object, or in-line isolate declarations. That is, one can write any of the following:
module foo = { ... specification { ... } }
object foo = { ... specification { ... } }
isolate foo = { ... specification { ... } }
Each of these blocks marks all the declarations inside it as having the given visibility, which in turn affects how verification treats them and, in particular, the relationships between the visibility levels of declarations in the current isolate and those in any other isolate that's provided as a with
argument to the current isolate declaration. The visibility-modifying blocks do not otherwise affect the module or object nesting structure.
Meaning of visibility qualifiers
Private declarations are not visible outside the module. These are typically used to contain invariants that rule out unreachable states, supporting a publicly visible inductive invariant.
Specification and implementation declarations allow splitting declarations in two pieces.
- The specification declarations in an object
X
are visible to any other isolate that is declaredisolate { ... } with X
. That is, whenX
is supplied as a visible input to the other isolate. - The implementation declarations in an object are verified when the object itself is verified, and are checked for consistency with any specification they are a part of.


PREDATOR A film review by Steve Fritzinger Copyright 1987 Steve Fritzinger
Arnold Schwarzenegger leads a team of elite mercenaries through a Central American jungle to rescue a captured "Cabinet Minister" from communist-backed rebels. Along the way he deals with a treacherous CIA agent, about a hundred insurgents, and an alien sportsman doing a little trophy hunting.
The "plot" of PREDATOR is only a set-up for the long hunt scene that takes up 3/4 of the movie. Any reason to drop 5 or 6 heavily armed men miles from civilization would have worked just as well, so little time is spent here, only long enough to let us know who the good guys and the bad guys are, and then one obligatory battle scene so Arnie can use his patented groan-inducing corny combat banter. Characters that started out as one-dimensional Rambos are barely developed to the point of being two-dimensional Rambos, and most of the dialogue is so stiff and unnatural that the characters seem to be announcing important information for the sake of the audience, rather then talking to one another.  What happened?", and "He was my friend. Now I want revenge." are typical.
But that doesn't really matter, because PREDATOR is not trying to present a soldier's experience. These guys are not ALIENS' grunts in space, nor are they the regular guys in a horrible situation from PLATOON. PREDATOR is about the local bare-knuckles champ going up against an out-of-towner who's won his last 725 fights. And on that level PREDATOR works well!
The alien's actions are believable, and consistent with the idea it is a sportsman. It treats the human characters like game animals, stalking them down, taking them one by one, and taking care of each kill before going out again. The alien is a competent, though sometimes over-confident, hunter after dangerous big game, and it behaves accordingly.
The thing that impresses me most is that throughout PREDATOR, the humans have a chance. Too often in movies like this, the monster is unstoppable. It is indestructible and omniscient until the last five minutes of the last reel, when the hero finds some laughably easy way to destroy it. In PREDATOR the alien is very very good, but fallible. The movie carefully portrays the alien as a real threat, without making it seeming invincible.
The effects used to create the alien are another strong point. While watching the movie, you know that the alien's camouflage suit and blaster would work just as well as shown on the screen. There is plenty here for the people who complain about Tie-fighters banking and spacecrafts making noise to pick apart, but it LOOKS real, and that is the important part!
There are still some holes in PREDATOR. The last scene of the alien mars the rest of the performance, and I feel some of the characters are killed off a little to easily so they could get on with the final fight of Arnie vs. The Thing. But it works more often than it fails.
It's hard to rate PREDATOR since if you don't like this sort of movie, this isn't the one that is going to change your mind, so as a movie I only give it +1 on the -4 to +4 scale. Die-hard fans of action movies, in the TERMINATOR style, can take a +3.
Steve Fritzinger CCI-OSD Reston VA.
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


Naija Type
This keyboard aims to serve all Nigerian languages, not just Hausa, Yoruba and Igbo, using the standard characters normally recommended for each script.
Please write to<EMAIL_ADDRESS>if you need letters that are not provided here.
- On touch (phones/tablets),
- Press and hold a key for alternate characters similar to the letter you press. Then move your finger over to the letter you want.
- For most punctuation press and hold the . (full stop / period) key or the comma key on the left of the keyboard.
- Q and space have several combining letters so you can type o then hold on Q to choose the underline or underdot or an accent above.
-
On a computer with physical keyboard
- Press a key like the letter you want then use the semicolon to change its shape.
eg a ; → ə
U ; → Ʉ
U ; ; ; → U̱
- Type the top-left back tick (`) and hold shift and press tilde (~) keys to add diacritics above the letter.
eg a ` → á
e ; ~ → ε̃
- Keep pressing these special keys to move through different options.
- Double press space bar to get a full stop followed by a space.
Version 34


Tory Lanez & Chris Brown Remix A Classic Jam On "The Take" From "Chixtape 5"
A "Chixtape 5" stand-out.
by Erika MarieThe Take
Tory Lanez Feat. Chris Brown
Editor Rating: VERY HOTTTTT
User Rating: very hottttt - 96% (13)
In 2008, Chris Brown made blood pressures rise when he released his steamy single "Take You Down." The certified Platinum track is a C. Breezy favorite from the vault and even earned the singer a Grammy nomination for Best Male R&B Vocal Performance. The world can once again get hot under the collar to Brown's hit track, only this time it's been reimagined by Tory Lanez on his Chixtape 5 project.
The album is a walk down the 2000s R&B lane as Tory not only samples tracks from the era but calls on the singers associated with the songs to lend their vocals. Chris joins Tory on "The Take" as the pair lyrically lay out all of their bedroom antics. Chixtape 5 has been released only for a few hours and is already a favorite, so give "The Take" a listen and let us know if you think they did Chris's original song justice.


About
ASER is from KnowComp@HKUST, led by Prof. Yangqiu Song.
The main contributors are:
Hongming Zhang, PhD student, HKUST.
Xin Liu, PhD student, HKUST.
Haojie Pan (Mphil alumni), senior algorithm engineer, Alibaba Cloud.
Haowen Ke, Mphil student, HKUST.
Jiefu Ou, Master student, CMU.
Tianqing Fang, PhD student, HKUST.


Overview
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A
Adapter
- Class in
adapters
Adapter()
- Constructor for class adapters.
Adapter
adapter
- Variable in class configuration.
Configuration.DBMSConfig
adapter
- Static variable in class core.
Updater
adapters
- package adapters
adapters.MySql
- package adapters.MySql
adaptor
- Static variable in class adapters.
Adapter
adaptor(String)
- Static method in class adapters.
Adapter
adaptor
- Static variable in class core.
Finder
add(Error, List<Error>)
- Static method in class core.
Error
addError(String, Error.Symbol, String)
- Method in class core.
Hermes
Used in own validation method (validate()).
addError(String, String)
- Method in class core.
Hermes
Used in own validation method (validate()).
addForeignKeyToTable(String, Hermes)
- Method in class migration.
Migration
addSTIAttribute(List<Attribute>, Hermes)
- Static method in class core.
Attribute
addSTIKlassColumn()
- Method in class migration.
Table
afterCallbacks(Hermes)
- Static method in class core.
Updater
afterCreate(Hermes)
- Static method in class core.
Callback
afterCreate()
- Method in class core.
Hermes
afterDelete(Hermes)
- Static method in class core.
Callback
afterDelete()
- Method in class core.
Hermes
afterSave(Hermes)
- Static method in class core.
Callback
afterSave()
- Method in class core.
Hermes
afterUpdate(Hermes)
- Static method in class core.
Callback
afterUpdate()
- Method in class core.
Hermes
all(Class<? extends Hermes>)
- Static method in class core.
Hermes
Find all objects of the given class
all(Class<? extends Hermes>, String)
- Static method in class core.
Hermes
Find all objects of the given class
all()
- Method in class core.
Hermes
Get all objects of the class
all(String)
- Method in class core.
Hermes
Get all objects of the class with options
Analyzer
- Class in
adapters.MySql
Analyzer()
- Constructor for class adapters.MySql.
Analyzer
Associations
- Class in
core
Associations(Hermes)
- Constructor for class core.
Associations
associations
- Variable in class core.
Hermes
Associations()
- Method in class core.
Hermes
Attribute
- Class in
core
Attribute(String, String, Object)
- Constructor for class core.
Attribute
attributeName
- Variable in class core.
HasMany
attributeName
- Variable in class core.
HasOne
attributeName
- Variable in class core.
ManyToMany
attributes(String)
- Static method in class adapters.MySql.
Analyzer
attributes
- Variable in class core.
Hermes
attributesValues(Hermes)
- Static method in class adapters.MySql.
Sql
attributize(Field, Hermes)
- Static method in class core.
Attribute
availableConnections()
- Method in class pool.
Pool
Overview
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| SNCA |
mThy-1 human WT α-synuclein overexpression
112
|
L-Dopa responsive sensorimotor deficits |
Increased extracellular dopamine; increased dopamine turnover rate; lower striatal TH level |
Membrane microdomain targeting
121
, and surface insertion
25,
122
.
|
| (AAV6)– human WT α-synuclein
116
|
Age-dependent motor deficits |
Reduced striatal dopamine release and dopamine reuptake; reduced dopamine tissue levels; |
| CaM-tTA human WT α-synuclein overexpression
115
|
Age-dependent motor deficit |
Significant reduction of dopamine level in the olfactory bulb; Trend towards reduced dopamine in striatum; loss of dopamine neurons in SN.pc |
| MPrion human A53T α-synuclein overexpression
113,
114
|
Motor hyperactivity |
Reduced DAT expression and dopamine reuptake; Increased dopamine content in striatal tissue; no evident loss of dopamine neuron in SN.pc |
| LRRK2 |
BAC human LRRK2 overexpression
176
|
Motor hyperactivity |
Elevated striatal dopamine release; comparable dopamine uptake and tissue dopamine content; no loss of dopamine neurons in SN.pc |
Long term axonal trafficking
132
, endolysosomal trafficking
149
|
| BAC human LRRK2 R1441G
177
|
L-DOPA responsive motor deficits |
Reduced striatal dopamine release; no evident loss of dopamine neuron in SN.pc |
| Human LRRK2 G2019S transgene
178
|
Age-dependent motor deficits |
Normal striatal dopamine level and turnover rate; Increased dopamine turnover rate in olfactory bulb; Age-dependent loss of dopamine neurons in SN.pc |
| Mouse Lrrk2 R1441C knock-in
179
|
Decreased locomotor responses to quinpirole; reduced locomotor response to AMPH |
Normal striatal dopamine level; reduced catecholamine release; no loss of dopamine neurons in SN.pc |
| Mouse Lrrk2 G2019S knockin
127,
128
|
Early hyperactivity that declines with age
128
|
Reduced striatal dopamine release; trend of reduced DAT expression; age-dependent DAT dysfunction; increased dopamine turnover rate; no loss of dopamine neurons in SN.pc |
| VPS35 |
Mouse Vps35 D620N knockin
91
|
No evident motor symptoms |
Altered striatal dopamine release; reduced dopamine reuptake; reduced striatal DAT expression; no evident loss of dopamine neurons in SN.pc |
DAT endocytic sorting and recycling
89,
91
|
| PARKIN |
Mouse Parkin knockout
158,
159
|
Reduced spontaneous motor activity |
Increased dopamine turnover; Increased extracellular dopamine; Reduced striatal dopamine release; reduced dopamine reuptake; no loss of dopamine neurons in SN.pc |
Protein quality control
26
; endolysosomal trafficking
155,
156
|
| RIT2 |
Mouse
Pitx3
IRES2-tTA
RIT2 knockout
30,
166
|
Increased acute cocaine sensitivity in males, but decreased in females |
In females: reduced surface DAT expression in ventral striatum; In males: reduced total DAT levels; increased [
3H] dopamine reuptake in striatal slices
|
DAT surface retention
29
|


This page has a timed sound configured to play
after being on the page for 5 seconds.
Play a sound at a certain time!
First: Preload
To get the timing perfect, again we pre-load the sound using the
<x-audio-sound-load>
component.
Then: Activate by Time
We play the sound by sending an event action with
start command after 5 seconds. We use the <x-action-activator> component and
<x-audio-sound-action>
elementswith the command and track-id.
Time it with Animations
The <x-view-do>
component also provides a mechanism for animations and data-binding using
the view-time. You can easily add animations with simple attributes.


Net Neutrality is currently a very important issue in tech, as the Federal Communications Commission (FCC) has proposed an “Internet Fast Lane” that would allow certain websites operate at higher speeds. The FCC has stated that it would create rules preventing Internet Service Providers (ISPs) from blocking or slowing down access to content providers that don't pay a toll to reach consumers. However, many opponents have stated that these rules could open the door for broadband providers to cut deals with larger companies, such as Google, that provide massive amounts of content. These deals would be detrimental to smaller companies, because they would create high rates for the fast lanes which only larger companies could afford.
With no restriction, companies will get throttled in terms of speed and data-flow allowed to their customers. If there are too many regulations, than a tiered Internet design is formed, controlled by the ISPs, to the benefit of larger corporations.


How is your memory
You are given with have 8 emoji pairs at different boxes, if you match them, you will get one point and if you fail, one marks will be deducted. So, try to match all these pair in less number of steps. The game will test your memory power!🤯


| Mort Bay Consulting | Jetty development and support. Main Copyright holder. |
| Cisco | Sponsored Jetty3.1 and Jetty 4 and development. |
| FORGE IT | Contribution of Protekt SSL listener |
| INetU hosting | Donated the jetty.mortbay.org machine as a project home |
| Intellij | Donated license for ther IDEA java IDE. |
| Medimom | Sponsored JSSE SSL listener development and key tools |
| Optimus Solutions | FTP client classes |
| Registration Technologies | Registration of org domain names. |
| Sun Microsystems | Provided Netra-5 workstation as prize for initial jetty development. |
| Source Forge | Opensource CVS repository and tools |
| Codehaus | Opensource CVS repository and tools |
| Borland | Academic pricing of OptimizeIt for Jetty developers. |


Typesettable is a library for measuring, wrapping, and writing text on Canvas, SVG, and HTML.
Canvas and HTML support some rudimentary wrapping, but SVG does not support any. Furthermore, developers often want wrapped text to auto-hyphenate and truncate with ellipses when overflowing the bounding box. Typesettable aims to make this entire process easier.
Typesettable works with native browser APIs and has no external dependencies.
npm install --save typesettable
import { Typesetter } from "typesettable";
const typesetter = Typesetter.svg(document.querySelector("svg"));
typesetter.write("Hello World!", 200, 200);
Use typesetters with both SVG and Canvas elements:
import { Typesetter } from "typesettable";
// A typesetter for SVG elements
const svgTypesetter = Typesetter.svg(document.querySelector("svg"));
// A typesetter for Canvas elements
const canvasTypesetter = Typesetter.canvas(document.querySelector("canvas").getContext("2d"));
// A typesetter for HTML elements
const htmlTypesetter = Typesetter.html(document.querySelector("div.text-container"));
// The dimensions into which the text will be wrapped and truncated
const width = 300;
const height = 50;
// Options for alignment, etc.
const writeOptions = {
xAlign: "left",
yAlign: "top",
textRotation: 0,
textShear: 0,
};
// Write the text to the elements
svgTypesetter.write("Hello SVG!", width, height, writeOptions);
canvasTypesetter.write("Hello Canvas!", width, height, writeOptions);
htmlTypesetter.write("Hello HTML!", width, height, writeOptions);
If you are typesetting multiple strings of text with the same font style, maintain a cache of Measurer results to improve performance.
Your HTML might look like:
<svg>
<g class="section-one"></g>
<g class="section-two" transform="translate(120 0)"></g>
</svg>
To share text measurements between writer, you can use the simple Typesetter
interface, which already uses a shared CacheMeasurer
. Or, you can compose the
components manually like so:
import { CacheMeasurer, SvgContext, Wrapper, Writer } from "typesettable";
const svg = document.querySelector("svg");
const context = new SvgContext(svg);
const measurer = new CacheMeasurer(context);
const wrapper = new Wrapper();
const writer = new Writer(measurer, context, wrapper);
const writeOptions = { xAlign: "center" };
writer.write(
"This text is in the first section",
100, 400, writeOptions,
svg.querySelector("g.section-one")
);
writer.write(
"This text is in the second section",
100, 200, writeOptions,
svg.querySelector("g.section-two")
);
See the docs for more detailed examples.
Generated using TypeDoc


We believe that traveling is one of the best ways to learn, for that reason we created Noanean Experiences, to offer “learning by doing experiences” in the Basque Country. We offered a proactive learning experience with the most innovative sectors in Euskadi (Gastronomy, education and cooperativism. To make this happen we had local support and we used radically different methodologies so that our clients could co-create during the experience with companies, discover gastronomy innovations and see new education systems (Amara Berri System and Mondragon Team Academy).
Project name:
Noanean experience
Date:
2012-2013
Category:
Entrepreneurship, Travel
Role:
Co-founder
If you want to collaborate on creating amazing products you are very welcome to contact me.


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{% extends 'errors/base.html' %} {% block title %}{{ _('We could not find what you were looking for…') }}{% endblock %} {% block message %}
{{ _('The page you requested could not be found (code 404). This might be due to a ' 'broken link, a mistyped URL, or simply our moving or deleting the requested page.') }}
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Bugatti Boss Reveals His Perfect Chiron
This is what Stephan Winkelmann’s ideal Bugatti would look like.
by Martin BiggFrom the Chiron and the Divo to the one-off La Voiture Noire and the Centodieci inspired by the EB110, Bugatti builds some of the most striking-looking cars on the planet. At the 2019 LA Auto Show, Bugatti's president Stephan Winkelmann revealed to us that the company's wealthy customers spend over $300,000 euros on options on average when configuring their cars. No, that doesn't include the base price of the car or taxes. With this in mind, we asked the Bugatti president how he would configure his ideal Bugatti.
"I like matte colors, so I would choose white or black," said Winkellman. "I would have black rims with the red brake calipers." As for the interior, the Bugatti president would configure his car with a brown or black cabin. "If it's brown, the stitching should be the same. If it's black, maybe with red stitching," he told us.
Using Winkellman's description, we were able to render the president's perfect Bugatti based on the Chiron Sport. We're used to seeing Bugatti Chirons configured in two-tone finishes, but Winkellman takes a more subtle approach with a sleek all-black or all-white exterior, no exposed carbon fiber, and a refined interior. It's discrete compared to other eye-catching Bugattis owned by celebrities, but the resulting design look very stylish.
Like all Chiron Sport models, power would be sourced from an 8.0-liter quad-turbo W16 producing 1,479 horsepower and 1,180 lb-ft of torque, which is sent to all four wheels through a seven-speed dual-clutch transmission.
As standard, the Chiron is available with seven color combinations, including light blue and white with carbon fiber, exposed red carbon fiber and white, exposed blue carbon fiber, black and yellow with carbon fiber, dark blue and light blue, red and black with carbon fiber and exposed carbon fiber with champagne. However, the personalization options are virtually limitless.