For projects where the default configuration options are not sufficient several methods have been provided to allow you to customise the package from your own code.
You can hook into any of the Umbraco examine events from your own code in the usual fashion. This allows control over the indexing process. For example you can edit the rendered HTML before it gets indexed, or cancel indexing on certain pages.
Firstly you'll need to subscribe to the events. This means running some code at Umbraco start-up, the usual way to accomplish this is in the constructor of a class that extends umbraco.BusinessLogic.ApplicationBase.
So, very very briefly, start an empty visual studio web app project, reference the relevant Umbraco dlls, examine dlls and the Governor.Umbraco.FullTextSearch dll, then create something like the below, build it, and stick the dll in your Umbraco bin directory. Consult the Umbraco site for better documentation on this that took more than 5 minutes to write...
namespace MyAddon { public class MyEvents : umbraco.BusinessLogic.ApplicationBase { public MyEvents() { BaseIndexProvider indexer = ExamineManager.Instance.IndexProviderCollection["FullTextIndexer"]; indexer.NodeIndexing += new EventHandler(indexer_NodeIndexing); } void indexer_NodeIndexing(object sender, IndexingNodeEventArgs e) { // do stuff } } }
Depending on your version of Umbraco, umbraco.BusinessLogic.ApplicationBase might be deprecated and you'll need to use the appropriate method.
There are a number of events built into examine, documentation doesn't seem to be readily available, but you can look through the code, or just use intellisense to pick them out. If you want to edit the rendered HTML or cancel indexing then NodeIndexing is the one to use.
There's an event in the search helper that's fired once for every search result.
You can access this at SearchExtension.ResultOutput . This will allow you to change/add/delete any of the content that's about to be pushed out to the Razor, giving you more flexibility in what to display.
It's also possible to override the way FullTextSearch renders, and then indexes pages completely, or just for a certain node type.
To get a sense of the way it works you'll probably need to look over the code-base for FullTextSearch. But some basic information is included here that should be enough to get you started.
To clarify, the renderer reads the page's full HTML and returns it.
The indexer controls which pages get indexed and how the HTML is stripped.
When the renderer runs is determined by the PublishEventRendering setting in FullTextSearch.config, if this is set to true it will run immediately after publishing, and a page publish won't return until the renderer does. If PublishEventRendering is set to false (this is the default setting) then the default indexer will call the renderer during the indexing phase, and page publishing doesn't have to wait for the renderer to return.
FullTextSearch can use any class that implements the interface IDocumentRenderer to render documents. You can replace the default renderer entirely, inherit and extend/override it, and do either of these conditional on the type of node being rendered. An example will probably make this easier to understand...
Override Renderer for node type "umbHomepage" to add the text "Dummy Homepage Text" onto the end of the full text index
public class MyEvents : umbraco.BusinessLogic.ApplicationBase { public MyEvents() { FullTextSearch.Manager.Instance.DocumentRendererFactory.Register<MyRenderer>("umbHomepage"); } } public class MyRenderer : DefaultHttpRenderer { public override bool Render(int nodeId, out string fullHtml) { if (base.Render(nodeId, out fullHtml)) { fullHtml += "Dummy Homepage Text"; return true; } return false; } }
Override renderer for all node types
FullTextSearch.Manager.Instance.DocumentRendererFactory.RegisterDefault<MyRenderer>();
Have a look at the code to get a better idea of how it works. One thing to bear in mind is that you can only use the Umbraco node factory API if PublishEventRendering is set to true in the FullTextSearch.config file. Otherwise you'll need to use the Document API.
Indexers can be overridden in much the same way as renderers. e.g.
FullTextSearch.Manager.Instance.FullTextIndexerFactory.Register<MyIndexer>("someNodeTypeAlias");
The class "MyIndexer" will need to implement IFullTextIndexer.
Bear in mind that if PublishEventRendering is not active your indexer will need to handle calling the appropriate renderer, or just inherit the existing DefaultIndexer class.
In the event that content on your site changes regularly without any nodes being published a web service is provided which allows you to
It is envisaged that this service be called by means of a scheduled task of some kind. No mechanism for doing this is currently provided, though a console application may be added in future.
The web service is provided in a separate package to the main FullTextSearch. You can download it from the downloads page.
It requires the file umbraco.webservices.dll, which is not present by default on some umbraco installations. If your install lacks this file you can build it yourself from the umbraco source, or download it from the downloads page for Umbraco 4.7.0
The web service is located at /umbraco/webservices/FullTextService.asmx . There are four methods of interest:
RebuildFullTextIndex(string username, string password) : Trigger a full re-indexing of the site. Be warned that this deletes the current index completely. So search will be unavailable until re-indexing is completed, which happens at a rate of about 5 pages/sec on my development box.
ReindexFullTextNodes(string username, string password, int[] nodes) : Re-index the supplied list of nodes
ReindexFullTextNodesAndChildren(string username, string password, int[] nodes) : Re-index the supplied list of nodes and all their children.
ReindexAllFullTextNodes(string username, string password) : Re-index all nodes one-by-one.
You can also trigger these actions from your own code using the FullTextSearch.Admin.AdminActions class


Reports any clases which extend java.lang.Thread.
It is usually thought better practice to delegate to rather than extend
java.lang.Thread, so that a thread creator may exert better
control over the thread's behavior, and to better localize all concurrency related operations.
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Seattle's Salmon Cookies
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Update Location
Cookie Sales by Hour and Location


{% set suppress_feedback = true %} {% extends '_layouts/layout.html' %} {% block page_title %}{% endblock %} {% block body_css_classes %}nhs-redesign{% endblock %} {% block content %}
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Maps Engine Demo
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Project List
Click here to open the Maps Engine interface
, where you can create a project or manage your existing projects.


{% load static %} {% comment %} This is the base html file. It contains basic structure such as header, navbar, footer etc. All other html files will inherit this basic structure. {% endcomment %}


Publicly available scans of IP Addresses- Exfiltrated: It provides the scans from the 2012 Internet Census. It would provide the IP address and the port number running at the time of scan in the year 2012.
- Shodan: Shodan provides the same results may be with recent scans. You need to be logined. Shodan CLI is available at Shodan Command-Line Interface
Shodan Queries
title: Search the content scraped from the HTML tag
html: Search the full HTML content of the returned page
product: Search the name of the software or product identified in the banner
net: Search a given netblock (example: <IP_ADDRESS>/18)
version: Search the version of the product
port: Search for a specific port or ports
os: Search for a specific operating system name
country: Search for results in a given country (2-letter code)
city: Search for results in a given city
TODO: Learn how to access Shodan with API.
- Netmux: NETMUX is the all-source information hub about every IP address, device, IOT, or domain on the internet. All with a single query.
- Censys: Censys is a search engine that allows computer scientists to ask questions about the devices and networks that compose the Internet. Driven by Internet-wide scanning, Censys lets researchers find specific hosts and create aggregate reports on how devices, websites, and certificates are configured and deployed. A good feature is the Query metadata which tells the number of Http,https and other protocols found in the IP network range.
Censys.io queries
ip:<IP_ADDRESS>/24 -- CIDR notation


Welsh Assembly standards boss resigns over AM's secret recordings
The man who oversees complaints about politicians in Wales has resigned after he was secretly recorded by an assembly member.
Standards commissioner Sir Roderick Evans said "highly confidential conversations" with his staff had been taped.
The former Plaid Cymru AM Neil McEvoy has confirmed he made the recordings.
Police are being asked to investigate and the assembly has arranged a sweep of the organisation's estate.
The South Wales Central AM, who now sits as an independent, alleged he had found evidence that he claims had brought Sir Roderick's office into disrepute.
He said he had acted lawfully and in the public interest. He had been facing three separate investigations by the standards commissioner at the time, before Sir Roderick resigned.
Sir Roderick, a former high court judge and pro-chancellor of Swansea University, said Mr McEvoy's actions were "wholly unacceptable" as he stood down on Monday.
"It has come to my attention that conversations with my staff about a variety of highly confidential and sensitive matters have been secretly, and possibly illegally, recorded over a period of what seems to be several months and in what seems to be a number of different locations by an assembly member," said Sir Roderick, who had served as the assembly's standards commissioner since 2017.
"These have included highly confidential conversations with my staff including references to cases brought by members of the public.
"That a member of our national assembly could behave in this way is wholly unacceptable. It undermines the integrity of the complaints procedure and brings our democratic process into disrepute.
"I'm not prepared to continue in my role as standards commissioner."
Welsh Assembly presiding officer Elin Jones said she had accepted Sir Roderick's resignation, and the process to find a successor will now begin.
She said: "Covert recording of private conversations is a serious matter and we will be asking South Wales Police to investigate how such recordings were obtained.
"Arrangements have been made for a sweep of the Senedd estate to locate any unauthorised electronic surveillance devices."
In response to Mr McEvoy, the standards commissioner's office said: "The appropriateness of covert recordings of private and confidential conversations will be considered by the relevant authorities in due course."
Sir Roderick was embroiled in a row last year after he said a video featuring a Labour AM's face superimposed on a woman in a low-cut top was not sexist.
Earlier in 2019 he was accused of double standards after he recommended a Plaid Cymru AM Leanne Wood be reprimanded for a swear word in a tweet.


Preparation time
less than 30 mins
Cooking time
30 mins to 1 hour
Serves
Makes 20
Dietary
An easy little vegetable samosa that makes a delicious, inexpensive lunch from storecupboard ingredients.
Heat the oil in a small non-stick pan and fry the mustard seeds for about ten seconds, or until they begin to splutter.
Add the onion and ginger and cook for 2-3 minutes over a high heat. Add the peas, stir well and add the spices, mango powder, salt and a splash of water. (If using lemon juice, add this instead of the water.) Cook for 1-2 minutes, then add the potatoes and coriander and cook for 2-3 minutes. Taste and adjust the seasoning.
Preheat the oven to 200C/400F/Gas 6.
Unroll the pastry and cover with cling film and a damp tea towel. Peel off one piece and keep the rest covered so that it doesn't dry out. Lay the pastry sheet flat on a clean surface and brush with melted butter. Fold in one third of the pastry lengthways towards the middle. Brush again with the butter and fold in the other side to make a long triple-layered strip.
Place one rounded teaspoon of the filling mixture at one end of the strip, leaving a 2cm/1in border. Take the right corner and fold diagonally to the left, enclosing the filling and forming a triangle. Fold again along the upper crease of the triangle. Keep folding in this way until you reach the end of the strip. Brush the outer surface with more butter. Place onto a baking sheet and cover while you make the rest of the samosas. Sprinkle over a few sesame seeds, if using.
Bake in the centre of the oven for 30-35 minutes, or until golden and crisp, turning halfway through the cooking time.
To serve, place the samosas onto a large serving plate with a bowlful of chutney.


Health care costs rise faster than wages
by Randy KrehbielWork-based health insurance is taking a bigger bite than ever out of Oklahoma workers' paychecks, according to a national study released Wednesday.
Using data from the U.S. Department of Health and Human Services, The Commonwealth Fund determined that employee-paid premiums and deductibles grew 27% faster than the state's median household income between 2008 and 2018.
That means premiums and deductibles now equal 12.3% of median income, compared to 9.7% a decade ago. The statistic does not mean Oklahomans actually spend that much on those two items, since many households do not meet their deductibles every year.
According to the study, the average household deductible is almost $3,000 a year, or almost twice what it was a decade ago.
"Deductibles have gone about as high as they can go," Sara Collins, one of the study's authors, said in a conference call. "That's what we're hearing from employer surveys."


This service turn on the camera and connect the WebRTC server.
id
: String. The ID of web camera.
server ip
： String. Defaut is <IP_ADDRESS>, The IP address of WebRTC server.
switch
: Boolean. The switching signal of web camera, true for connecting WebRTC server and false will cause disconnecting.
status
: Boolean. Output true if connect successfully, false if disconnect successfully.
This service is a WebRTC server.
switch
: Boolean. The working state switching of server.
status
: Boolean. The current working state of server.


Powerful and robust date and time picker
Tempus Dominus is the successor to the very popular "eonasdan/bootstrap-datetimepicker". The plugin provides a wide array of options that allow developers to provide date and or time selections to users as simple pickers, date of birth selection, appointments and more.
Currently v6.7.10 · v5 docs


Search
Results
Requirements
| Classification: | {{req.artefact.payload[0].name}} |
| Text: | {{req.artefact.description}} |
| Belong to Project: | {{req.artefact.projectName}} |
| name: | {{req.artefact.name}} |
| score: | {{req.score}} |
Use Case Diagrams
| Actors |
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| Belong to Project: | {{usecasediagram.artefact.projectName}} |
| name: | {{usecasediagram.name}} |
| score: | {{usecasediagram.score}} |
Activity Diagrams
| Actions |
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| Belong to Project: | {{activitydiagram.belongsTo}} |
| name: | {{activitydiagram.name}} |
| score: | {{activitydiagram.score}} |
Analysis Class Diagrams
| Classes |
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| Belong to Project: | {{classdiagram.belongsTo}} |
| name: | {{classdiagram.name}} |
| score: | {{classdiagram.score}} |
Storyboards Diagrams
| Actions |
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| Belong to Project: | {{storyboard.belongsTo}} |
| name: | {{storyboard.name}} |
| score: | {{storyboard.score}} |
Source Codes
| Belong to Project: | {{sourcecode.belongsTo}} |
| name: | {{sourcecode.name}} |
| score: | {{sourcecode.score}} |
Services
| Type: | {{service.type}} |
| Belong to Project: | {{service.belongsTo}} |
| List of 3rd party web services: | {{service.list}} |
| Belong to Project: | {{service.belongsTo}} |
| Belong to Project: | {{service.belongsTo}} |
| wadl: | {{service.wadl}} |
| entry: | {{service.entry}} |
| Belong to Project: | {{service.belongsTo}} |
| wadl: | {{service.wadl}} |
| entry: | {{service.entry}} |
| name: | {{service.name}} |
| score: | {{service.score}} |
OSRF snippets
| Class Name: | {{snip.className}} |
| Source: | {{snip.forge}} |
| Belongs to Project: | {{snip.projectName}} |
| score: | {{snip.similarityScore}} |


Things and Strings.
Enter something here!
ENTER
RESET
Number COUNT:
Number SUM:
Number AVERAGE:
Number of STRINGS:
Strings Strung Together:


{% extends "layout.html" %} {% block page_title %} Apprenticeships {% endblock %} {% block content %} {% include "includes/phase_banner_alpha.html" %} {% include "includes/secondary-nav-provider.html" %} {% include "includes/breadcrumbs/register-back.html" %} Current courses in your cohort Choose which apprentices you'd like to update. Course Length Number ofapprentices Mechatronics engineer, Level 4 15 months 85 Update Mechatronics engineer, Level 3 18 months 962 Update {% endblock %}
Choose which apprentices you'd like to update.


Tic Tac Toe
You are player
x
Started
Draw
Won
Waiting for opponent to join...
X
O
Pause
List of paused games
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What is Bali Box?
A monthly subscription box filled with surprise Bali products includig food and non-food to enjoy the gifts of this beautiful Island.
SubscribeA monthly subscription box filled with surprise Bali products includig food and non-food to enjoy the gifts of this beautiful Island.
SubscribeEach box contains 6 to 8 different products such as health food, nutrition elements, organic snacks, natural cosmetics, and hand-made household items.
SubscribeSubscribe to a 1, 3 or 6 month plan and pay by PayPal.
We offer worldwide shipping.
Experience the culture and traditions of Bali by discovering the delicious food and artisan products from your box.


Contents
Short Descriptions
|
is a demo of AAlib, rendering an animated fire in ASCII Art. |
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provides information for your current settings related to AAlib. |
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provides configuration info for AAlib. |
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saves a font to a file. |
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shows the abilities of AAlib in a little test. |
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is a collection of routines to render any graphical input in portable format to ASCII Art. It can be used through many programs and has a very well documented API, so you can easily put it into your own programs. |


Profile
Check 2017 UTME Result
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Watch our highlights from the Dubai Airshow flying display 21 Nov 2019, 15:13 by Michael Tyrrell Share This Article Tweet ShareShareShare Subscribe to our FREE Newsletter Author


Command
Value
Get Status Information
Frame Manipulation
Seek to normalize
Seek to frame by index
Seek to frame by time
IMAGE
width
height
left
right
CAPTURE
fps
exposure
gain
COLOR
red
blue
brightness
contrast
saturation
gain
gamma
CAMERA
SHUTTER
Select option
TRIGGER
Select option
MISC
FAN
LIGHTS
TONE CURVE
select option


Makeup Mirage
Demystifying Makeup
Resources
Thanks to increased news coverage of counterfeit and unsafe cosmetics, we are seeing more efforts by the beauty industry, as well as the government, to protect and educate the public about makeup safety. However, regulatory and enforcement agencies are still playing catchup to the counterfeiters, so it's up to you to keep yourself safe. Please educate yourself and share your story!
Facts About Government Regulations (or lack thereof)
The Federal Food, Drug and Cosmetics Act (FFDCA) includes 112 pages of standards for food and drugs, but just two pages for cosmetic safety. The cosmetics title of the FFDCA, which has not been amended significantly since it was enacted more than 80 years ago, provides virtually no power to perform even the most rudimentary functions to ensure the safety of an estimated $84 billion cosmetic industry.
In the absence of government authority, the safety of personal care product ingredients is evaluated through a voluntary industry program known as the Cosmetic Ingredient Review process. The CIR has reviewed less than 20% of the FDA estimated 12,500 chemicals used in cosmetics, and of those the CIR has reviewed, they have found only 9 chemicals unsafe for use in cosmetics. What safety data does exist focuses on acute reactions to products, such as skin rashes or allergic reactions, as opposed to studies that look at chronic health effects from chemicals in personal care products, like cancer, reproductive or nervous system effect that are driven by genetic susceptibility, the timing of exposure, and aggregate exposures over a lifetime.
All About Counterfeit Makeup
What is Counterfeit Makeup? Counterfeit or "fake" makeup is makeup that intentionally looks the same as a brand-name product but isn't. It is also illegal. Counterfeiters imitate the packaging of authentic products closely to fool the customer, but the contents inside could be anything.
Counterfeiters have to use cheaper ingredients than the authentic version in order to sell the item for less, since price is the only reason a customer would buy a fake instead of the real item. But using cheaper ingredients, plus shortcuts in processing, again to keep costs down, can make counterfeits extremely dangerous. The FBI reports that its agents have found human carcinogens, aluminum, dangerous levels of bacteria, and even human urine and feces (!!!) in the products they’ve seized.
Counterfeits are also a growing problem. Global seizures jumped 25 percent between 2011 and 2013. In 2016 alone, the government reportedly seized over 2.8 million fake makeup products (most of them MAC knockoffs).
Knockoffs are cheaper versions that look similar to but not the exactly the same as brand-name products. Oftentimes, they will use a slightly different spelling of the product name.
Knockoffs are not necessarily illegal, for example, most grocery stores and pharmacies have their own off-brand or knockoff versions of name-brand products, but you should still think twice about buying cheap makeup, especially if you have any allergies or sensitivities. The reason that knockoffs are cheaper is because they use cheaper ingredients. Plus, it is difficult to distinguish legal knockoffs that abide by FDA regulations from those that don't.
Basically, if it seems too good to be true, it probably is!
How to Buy Safe Makeup
The best way to stay safe is to buy your makeup from a reputable seller. Avoid mysterious online vendors, such as Amazon third-party resellers, overseas sellers on eBay, and products sold in Instagram and Facebook ads. However, even reputable resellers like Sephora and ULTA can be fooled by counterfeits, and legitimate products expire, so check expiration dates.
Here are the FBI's tips for recognizing suspicious or counterfeit cosmetics:
- Packaging is slightly different from the authentic brand (different color, lettering) or the label is askew or poorly printed
- Product is advertised as a "limited edition" even though the manufacturer doesn't offer a limited edition (check manufacturer's website)
- The price is either slightly or dramatically lower than usual, and may be advertised as discount, cheap, or outlet pricing
- Consistency, texture, or color seem different
- The scent seems a little off
- The product is being sold at a non-authorized retailer (flea market, mall kiosk, online)
Educating yourself about what should and shouldn't be in your makeup is also a good idea. Check out our introduction to the most Common Makeup Ingredients and what they do.


If you're interested in becoming involved as a member of the leadership team, please contact a current member who would be happy to provide you additional information!
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Welcome
This site contains several challenges designed to test your Web Application Security knowledge to its fullest extent.
Do not be afraid to work with others, or ask questions. This is designed to be difficult.
All challenges are based on real vulnerabilities
Your Challenge Has Already Begun


Ravnica's vast, worldwide cityscape is a patchwork of grand halls, decrepit slums, and ancient ruins, with layer upon layer of stonework—and guild maneuverings.
Of the world's countless civic centers, one looms large above all others: the City of Ravnica, a metropolis so vast that its name has long since become synonymous with the entire plane. It is here, amid the mazes of streets and towering Gothic spires, that Ravnica's guilds vie for power.
Each of the ten guilds has mastered two of the five colors of mana, resulting in dramatically different cultural identities and functions.
The military guild of Boros (red-white) believes righteousness is fire, shining with the light of justice. The dragon-led Izzet (blue-red) fuses elemental magic and technology, making its members the undisputed masters of innovation.
The exclusive members of Selesnya (green-white) honor selflessness, nurturing, and spiritual congregation—while outsiders see them as brainwashed nature cultists. The death-worshiping Golgari guild (black-green) controls a vast undead army and labor force in the city's underbelly. Secretive House Dimir (blue-black) fuels ghost stories of necromancer advisors, phantasmal assassins, and black horrors slithering in the sewers.
Orzhov (white-black) is a rigid hierarchy of pomp and ritual, slaves to deals and coin. Gruul (red-green) is the guild of beggars, gangs, and raiding parties, all driven by base urges and instinct.
The Azorius Senate (white-blue) are the primary lawmakers on Ravnica, in contrast to the demon-led Rakdos (black-red), who delight in thrill-killing and pleasure-seeking. Amid all this politics and chaos, the researchers of the Simic Combine (green-blue) work industriously to maintain nature, even modifying it to survive.
The power of each guild had been kept in check by an ancient agreement known as the Guildpact. But as this agreement dissolves, conflict once again flares.
While wise and just, the sphinx Isperia values her privacy. That's why it was so tough to convince her to become guildmaster of the Azorius Senate. However, she finally stepped up when it became apparent that Ravnica needed to be brought to order, for the protection of all.
Leading the guild from a position of luxurious comfort, the Obzedat seeks only to increase the guild’s wealth. They have managed to cheat mortality, retaining consciousness (and greed) beyond death. Appointment to this counsel is all but unheard of, as the Obzedat is not known for sharing its power.
This shapeshifter is guildmaster of the House of Dimir and uses his power to secretly place sleeper agents in strategic positions throughout all of the guilds of Ravnica. Valuing information and secrecy above all else, Lazav weaves plots within plots.
Guildmaster of the Izzet League, Niv-Mizzet lives only to increase his supreme knowledge. Directing all experiments throughout the guild, he values results over success, accepting and even anticipating that experiments will end in gloriously unpredictable ways.
 Caring nothing for politics, Rakdos remains deep within his guildhall, amid constant celebration. He encourages depravity and entertainment at any cost.
This massive, powerful, and dimwitted cyclops is guildmaster of the Gruul clans—and remains so by defeating all challengers who dare stand in his way. Promising freedom from rigid civilization, he carves out territory from abandoned districts, amassing an eager, unruly following along the way.
Eager to lead from battle, the archangel Aurelia is an inspiration to all the Boros Legion. Her rise to guildmaster was swift and precise, exactly like Boros enforcement. She ensures constant (if overbearing) patrols, which are often the only form of protection the unguilded citizens of Ravnica have.
From deep in Vitu-Ghazi, Trostani leads the Selesnya in creating the perfect community of caring uniformity. All are welcome in this spiritual conclave, which values the collective over the individual. But she doesn’t just rely on her community message. She’s growing an army to defend it, too.
When the merfolk were discovered in the deep oceans beneath Ravnica, Zegana was appointed their representative. Under the protection of the Simic Combine, Zegana works to advance evolution, protect the merfolk, and preserve what’s left of Ravnica’s wilderness.
Dedicated to establishing social regulations for everyone, Azorius strives to bring order to the chaos of Ravnica's streets. Its human have come to function as intermediaries between the citizens and the laws of the senate, educating the compliant—and restraining the rebellious.
These humans share a unifying ambition to improve their lives. All recruits start at the bottom, and with dedication, they quickly climb the ranks. Orzhov is all about advancement and power.
The most unassuming, average citizens often turn out to be Dimir agents. They seek power, but avoid the spotlight. With a keen knack for deception and manipulation, these humans form many isolated and incredibly secretive cells across Ravnica.
Eager to invent a way to improve life, humans of the Izzet use their intelligence and imagination to construct elaborate experiments. Unmatched by even Niv-Mizzet, humans are still the main force driving the advancement of Izzet's grand works.
The humans of Rakdos Cult see Ravnica’s future as nothing but cruel death waiting for all—and they eagerly charge forward toward that end.
These dedicated farmers commit themselves to perpetuating the growth cycle and supplying food to any who desire it. Using ingenuity and a naturally commanding nature, they use large swarms of zombies and animated plants to assist them in continuing the cycle of life.
The savage and unkempt humans of the Gruul Clans join for social freedom and release from the frustrations of civilization. With a penchant for cunning, they often make skilled hunters and respected shaman.
Courageous in battle and tenacious in pursuit, humans join the Boros Legion to pursue a vision of what they think Ravnica should be: a peaceful place for all. To make that vision a reality, they use their combined might to deal with every single issue perceived as a threat, no matter how small.
The Selesnya guild believes itself to be the voice of Mat'Selesnya—a mysterious consciousness they believe to be the manifestation of nature itself. All within the guild are considered mouthpieces of that singular voice, and they seek to expand their guild by evangelizing their message and adding members.
There is a balance to nature, and the humans who join the Simic Combine strive every day to achieve that harmony with the natural forces of Ravnica. They believe respectful understanding and open-mindedness is the sole way for species to adapt to growing urban threats.
Constituting much of the Simic and Azorius guilds, Vedalken enjoy any challenge that lets them showcase their intellect. From deciphering Azorius statutes and droning proclamations to encoding the perfect subspecies for Simic cross hybridization, vedalken seek out any mental challenge.
Goblins do many of the lower-laboratory assistant jobs in the Izzet guild. That’s because goblins make the perfect test subjects: resilient, plentiful, and seldom smart enough to object. Those wise enough to avoid Izzet often join Boros instead, eager to prove their worth despite their small stature.
Making up much of the Golgari guild, the Golgari zombies have accumulated their own fungal growths over the years. The zombies of the Rakdos are devoid of fungus, but undoubtedly missing a few limbs—evidence of their part in the many depraved works of their cult.
Primarily allegiant to the Boros, some angels have become dissatisfied with the strict militaristic orders of the guild. Some leave to protect the guildless and downtrodden of Ravnica. Still others find their way to the Orzhov, where they quickly rise in power and rank in that church of deals.
Constituting much of the Simic and Azorius guilds, Vedalken enjoy any challenge that lets them showcase their intellect. From deciphering Azorius statutes and droning proclamations to encoding the perfect subspecies for Simic cross hybridization, vedalken seek out any mental challenge.
A prodigy with a sometimes dangerous appetite for knowledge, Jace’s skills in illusion, mind-reading, and memory modification are nearly limitless as a Planeswalker.
This artificer’s body is enhanced by the magical alloy etherium. Enslaved by one Planeswalker and mind-wasted by another, he continues to seek perfection of body and mind.
Beautiful, cunning, and ambitious to a fault, Liliana Vess is quietly becoming one of the Multiverse’s most magnetic dangers. She wields the blackest of magic: necromancy.
This beast summoner was cursed by fellow planewalker Liliana Vess, tainting his green spells with black. Now he’s a predator on the hunt for brutal revenge.
Vraska is the Gorgon assassin of the Golgari guild. A mysterious Planeswalker, she summons shadowy accomplices and collects petrified “trophies” from her travels.
This self-sufficient orphan trusts creatures more than authority. Rather than slaying beasts, as many Gruul warriors do, he summons and controls them.
This purveyor of white magic values loyalty, justice, and honor. Once tasked with apprehending Chandra Nalaar, he and the fire mage have now become unlikely allies.
This brilliant, daring mage is master of lightning storms. Both talented and loyal, he was used by his own guild, the Izzet. But Ral never gives up without a fight…


Mohandas Karamchand Gandhi was an Indian lawyer, anti-colonial nationalist, and political ethicist, who employed nonviolent resistance to lead the successful campaign for India's independence from British rule, and in turn inspired movements for civil rights and freedom across the world.


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Furry Friends
Hello, furry friend and Welcome to The Hotel Telluride!
We hope you and your people have a wonderful stay in Telluride. Please tell your mom and dad to notify the hotel that you will be joining them prior to your arrival, this way we can ensure that we get you and your family into dog-friendly lodging. See below for some more helpful hints and suggestions during your stay at our pet-friendly hotel in Telluride.
Telluride, Colorado is very pet-friendly, but here are a few tips during your stay with us:
- Your people must be on a leash while on Main Street (Colorado Avenue), when crossing Main Street, in Town Park, or when visiting Mountain Village.
- The Valley Floor has great people trails, but right now they are not open to dogs due to eco-conservation for the rare flora and fauna. Sorry guys- no romping around here.
- Your people may be off the leash on any of the other hiking trails, if you wish, but must be in voice control at all times.
- The town of Telluride provides complimentary pick-up bags throughout town and along the River Trail. We have some at the front desk, if you need them.
- The Gondola has cabins designated exclusively for you and your people. Just look for the dog/cat picture on the back, right window.
- Many restaurants and shops around town have puppy parking especially for you. Feel free to take advantage of the spots!
Pets are guests too! Here are a couple of things to note for your hotel check-in:
- Your cost to stay with us is $50 for one night or $100 for two nights or more.
- 10% of pet fees are given back to furry friends through a donation to Second Chance Humane Society.
- With your check-in you, will receive a welcome bag of Pet Info for Telluride, along with our homemade organic pet treats.
- We also offer you a ‘pet tag' with our phone number, just in case you get separated from your people and can't find your way home.
Tell your mom and dad they can receive a $20.00 credit back on their pet fee by sending a photo and story of your stay in Telluride! That's not all, your photo and entry will be posted on our blog and entered to win the 'Furry Friend of The Year' give-away. Hint: the more creative the photo and entry the better! So tell your mom and dad that you want to become famous on The Hotel Telluride Pet Blog and they can win a 2-night stay to return for another great Telluride vacation.
The photo and entry is submitted after your stay. Email the photo and content to<EMAIL_ADDRESS>Once submitted you will receive a guarantee $20.00 back on your $100.00 pet fee, along with a chance to win a 2-night stay at The Hotel Telluride!
These are a few rules we ask you to follow during your stay at our pet-friendly hotel in Telluride:
- Your parents must be leashed or under voice-control when in the lobby.
- If you are left in the room for short periods, you will promise not to disturb the other guests.
- Parents - advise the front desk of your absence and leave a contact number in case you are needed.
- Please let the front desk know when you and your parents will be out of the room, and our housekeeping staff will prioritize your hotel room to be cleaned while you are away. Our housekeepers will not service any guest room with a non-kenneled pet.
- Your parents will be liable for any damage and repairs, or if excessive cleaning is required, so please treat our dog-friendly lodging as your own home.
Here are some pet-friendly spots while staying in Telluride:
- Directly behind Hotel Telluride is the High School Soccer Field, this is a great place to run around and have mom and dad toss your ball.
- Meet other friendly, local dogs and people socializing at the Gondola Plaza Station in town. In the summer, this is a nice grassy area.
- The River Trail is a great place to enjoy a stroll or a swim. You can follow it all the way to Bridal Vail Falls and the historic Idarado Mine.
- Town Park is a great place to run around, as long as there is not a festival going on. You also have beaches along the river where other dogs and their parents hang out for a swim or a stick toss.
- There are two fun trails directly from town:
- On the sunny side (The Hotel Telluride side) the Jud Wiebe is three blocks away (3-mile loop) to enjoy hiking with your mom or dad with great aerial views of Telluride.
- On the slope side, Bear Creek Falls is a mellow incline (5 miles round trip) up to a gorgeous waterfall that your mom and dad would love to take you to see!
Want a break from mom or dad? These are reliable, professional, pet-friendly services around our town!
- Trick & Treats Pet Sitting Service will come play with you or take you for a walk around town<PHONE_NUMBER>
- Need a scrub-down after all the fun in Telluride? Whisker & Tails Dog Washing Service!<PHONE_NUMBER>
- Check out Mountain Tails offering healthy treats, mountain doggy fashion, toys, food, and more!<PHONE_NUMBER>
Hey Pets—Tell your mom and dad they can receive a $20.00 credit back on their pet fee by sending a photo and story of your stay in Telluride! That's not all, your photo and entry will be posted on our blog and entered to win the 'Furry Friend of The Year' give-away. Hint: the more creative the photo and entry the better! So tell your mom and dad that you want to become famous on The Hotel Telluride Pet Blog and they can win a 2-night stay to return for another great Telluride vacation.
The photo and entry is submitted after your stay. Email the photo and content to<EMAIL_ADDRESS>Once submitted you will receive a guarantee $20.00 back on your $100.00 pet fee, along with a chance to win a 2-night stay at The Hotel Telluride!


We're sorry but LuckPermsWeb doesn't work properly without JavaScript enabled. Please enable it to continue.


Feng Tianwei to face world No. 1 Chen Meng
Singapore's Feng Tianwei will be hoping for a repeat of last month's upset victory over China's world No. 1 Chen Meng when they meet tomorrow.
The pair have been drawn together in the Seamaster T2 Diamond Singapore, the second and final stop of the T2 Diamond Table Tennis League, which takes place at Our Tampines Hub from today to Sunday.
Feng, who is ranked world No. 9, had defeated Chen in straight sets at the German Open, winning 11-6, 11-2, 11-4, 11-8 in Bremen for her first victory over the 25-year-old in seven meetings.
Two other Singapore players are in action today. Yu Mengyu (world No. 45) faces China's world No. 12 Chen Xingtong while, in the men's competition, Clarence Chew (world No. 276) takes on fifth-ranked Harimoto Tomokazu.
The format of the T2 Diamond sees games played on a first-to-11 format with no deuce and a 25-minute clock. The Singapore stop offers a combined prize purse of US$500,000 (S$680,000) and ITTF ranking points.
For the full draws, visit t2diamond.com. Tickets are available from www.sistic.com.sg.


After the big success of the Geek Christmas Card for 2016-2017 I wanted to create a new game for the folks.
Inspired by Tomb of the Mask, this game is about Mike 'the elf'. Mike spend all the year crafting presents for Santa, but while carrying them to the Santa's sleigh. We must help Mike find all his presents!
The game was designed to be played in PC and not in mobile platforms.


UC Berkeley's Official Yearbook since 1875.
The Blue & Gold Yearbook is the official yearbook for the University of California, Berkeley. Published since 1875, the Blue & Gold provides readers coverage of events, issues and trends within the Berkeley community. As a historical record, the yearbook also includes campus facts, figures and people, including a section for graduating seniors’ portraits and majors.
The Blue & Gold Yearbook staff is comprised of over 50 individuals who design, produce, market, and distribute the book. Financially self-sufficient, the organization earns its revenue without aid of grants or outside funding. The Associated Students of the University of California (ASUC student government) formally sponsors the organization and provides it with office space.
We recruit at the start of each semester for our design, photography, copy, and marketing teams. The application for Spring 2018 Recruitment has closed, so keep an eye out for our next round in the fall!
The 2017-2018 yearbook is now available for purchase. Please head here to purchase your copy commemorating this year at Cal today!
All Senior Portrait purchases and transactions go through our partner, Lauren Studios.
Please contact Lauren Studios for questions regarding senior portrait appointments, proofs, and purchases.
website | www.laurenstudios.photos
email |<EMAIL_ADDRESS>call |<PHONE_NUMBER>
Look through some sample pages and images from our 2017 yearbook.
To have your organization's event featured here, email<EMAIL_ADDRESS>with the event details.
What is a Senior Portrait? How do I take one?
I took my senior portraits, now what?
What are the senior portrait sitting options?
How can I purchase older yearbooks?
When will I receive my yearbook?
I ordered a yearbook and it was never sent to me!
I am not satisfied with my senior portrait. Can I retake it?
How can I purchase my senior portrait photos?
How can I get involved in Blue & Gold Yearbook?
My question isn't listed here!
There are many ways to get in contact with us!
Come to our office.
Our office is located at 175 MLK, and is open Monday through Friday, 9 am to 6 pm.
Email us.
Feel free to send any inquiries to<EMAIL_ADDRESS>Find us on social media.
You can message us on Facebook, or follow us to stay informed about sales, senior portraits, and events.


Sites Settings Assessment
Security Settings Breakdown
| Account Number | Site ID | Site Name | Site Status | Backdoor | SQL injection | Cross Site Scripting | Illegal Resource Access | Remote File Inclusion | DDoS mode | DDoS Threshold | Block Bad Bots | Challenge Suspected Bots |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Account Number | Site ID | Site Name | Site Status | Backdoor | SQL injection | Cross Site Scripting | Illegal Resource Access | Remote File Inclusion | DDoS mode | DDoS Threshold | Block Bad Bots | Challenge Suspected Bots |
Security Statistics Account
| Total Events | Bad Bots Events | XSS Incidents | SQLi Incidents | Illegal Resource Access | RFI Events | DDoS L7 Events |
|---|
Caching Settings
| Site ID | Site Name | Site Creation Date | Site Status | Caching Settings | Incapsula A Record | CNAME Record |
|---|---|---|---|---|---|---|
| Site ID | Site Name | Site Creation Date | Site Status | Caching Settings | Incapsula A Record | CNAME Record |
Access Control Settings Breakdown
| Account Number | Site ID | Site Name | ACL IP Blaklist | ACL Country Blacklist | Blacklist URL Pattern & Value | Whitelist Rules |
|---|---|---|---|---|---|---|
| Account Number | Site ID | Site Name | ACL IP Blaklist | ACL Country Blacklist | Blacklist URL Pattern & Value | Whitelist Rules |
All IncapRules
| Account Number | Site ID | Site Name | IncapRule ID | IncapRule Name | Action | Rule |
|---|---|---|---|---|---|---|
| Account Number | Site ID | Site Name | IncapRule ID | IncapRule Name | Action | Rule |


Welcome to my official web page where you'll see me practicing my HTML skills.
This is a link to Youtube!
This is a link to Cool Math Games.com!
This is a link to Google Docs!
The HTML content goes here.


{{ template "partials/head.html" . }} {{ template "partials/header.html" . }} 404 Nothing to see here Move along {{ template "partials/footer.html" }}


Information about the recorder.
In the following video you can see how awesome the recorders sound.
There are different types of the recorder. The starters recorder is the soprano. When you're more skilled, you learn to play the other recorders as well. From smallest to biggest: sopranino, soprano, alto, tenor, bass, contra bass, sub contra bass.
Contact us by filling in this form:


func GetDockerfileFromConfig(path string) string
func NewDockerClient() (client *docker.Client, err error)
NewDockerClient creates a docker client
func ParseDockerfileTemplate(template string) string
func WriteBytesToPackage(name string, payload []byte, tw *tar.Writer) error
func WriteFileToPackage(localpath string, packagepath string, tw *tar.Writer) error
WriteFileToPackage writes a file to the tarball
func WriteFolderToTarPackage(tw *tar.Writer, srcPath string, excludeDirs []string, includeFileTypeMap map[string]bool, excludeFileTypeMap map[string]bool) error
WriteFolderToTarPackage writes source files to a tarball. This utility is used for node js chaincode packaging, but not golang chaincode. Golang chaincode has more sophisticated file packaging, as implemented in golang/platform.go.
func WriteJavaProjectToPackage(tw *tar.Writer, srcPath string) error
Package Java project to tar file from the source path
func WriteStreamToPackage(is io.Reader, localpath string, packagepath string, tw *tar.Writer) error
WriteStreamToPackage writes bytes (from a file reader) to the tarball


Countdown to year 3000:
It is
979
years to year 3000!
It is
11742
months to year 3000!
It is
51056
weeks to year 3000!
It is
357390
days to year 3000!
It is
8577341
hours to year 3000!
It is
514640413
minutes to year 3000!
It is
30878424750
seconds to year 3000!


Preparation time
30 mins to 1 hour
Cooking time
over 2 hours
Serves
Serves 6
Come in from the cold with this comforting steamed pudding of beef, stout and mushrooms. Look for well-marbled braising beef such as chuck steak for this recipe.
Preheat the oven to 180C/350F/Gas 4.
To make the filling, heat the oil in a large flameproof casserole dish. Fry the onions and mushrooms over a medium heat for about five minutes, or until lightly browned, stirring regularly.
Put the flour, salt and dried herbs in a large bowl. Season with lots of freshly ground black pepper and mix well. Trim the beef of any hard fat and sinew. Cut the beef into roughly 2.5cm/1in cubes. Toss the meat in the flour until coated evenly all over. Tip the beef and all the flour into the pan with the onions and mushrooms. Fry for 3-5 minutes.
Add the bay leaf, stout, stock, tomato purée and sugar. Stir well and bring to the boil. Cover with a lid and carefully transfer to the oven. Cook for 2¼ hours, or until the beef is very tender, stirring halfway through the cooking time. If the beef remains a little tough, return to the oven and cook for longer.
Take five ladlefuls (around 450ml/16fl oz) of the sauce and set aside in a small saucepan to use for gravy later. (When cooled, put in the fridge until needed.) Return the pan to the hob and simmer for 2-3 minutes, or until the sauce is thickened enough not to run out over the plate when the pudding is cut, but not too thick or the pudding will taste dry.
Remove from the heat, tip into a large mixing bowl, discard the bay leaf and leave to cool completely.
To make the suet pastry, put the flour in a large bowl and stir in the suet, parsley and salt. Stir in enough water to make a soft, spongy dough - you'll probably need around 250ml/9fl oz. Turn out onto a floured surface and bring the dough together to form a ball. Knead lightly, then use scales to divide the dough into four portions of about 100g/3½oz, 150g/5½oz, 200g/7oz and 275g/9¾oz.
Butter a 1.5 litre/2½ pint pudding basin and line the base with a small disc of baking parchment – this will make the pudding easier to remove once cooked. Roll out the smallest portion of pastry into a disc roughly 1.5cm/½in thick. Place in the base of the pudding basin. Cover with a layer of the beef and mushroom mixture. Roll the 150g/5½oz portion into a disc large enough to cover the beef and press gently on top, making sure it reaches the sides. Repeat the same process with the remaining pastry and filling until the basin is layered with four discs of pastry and three layers of beef, ending with the final layer of pastry, trimmed neatly to fit if necessary.
Cover the dish with a large circle of baking parchment, with a pleat in the middle to allow for expansion. Cover the parchment with a circle of foil, again with a pleat. Tie both tightly in place with string. Create a carrying handle by tying the excess string across the top of the basin - this will help you lift the pudding once it's cooked.
Place on an upturned saucer or small trivet in a large, deep saucepan and add enough just-boiled water to come halfway up the sides of the basin. (Alternatively, cook in a large hob-top steamer.) Cover the pan with a tight-fitting lid and place over a medium heat. Allow to steam in simmering water for two hours, adding more water when necessary.
When the pudding is done, turn off the heat and carefully lift the basin from the water. Stand for five minutes. Heat the reserved sauce until bubbling, stirring constantly and adding a little extra water if needed.
Cut the string, and peel the foil and paper off the basin. Loosen the sides of the pudding right down to the bottom with a blunt-ended knife and, holding with an oven-cloth, invert onto a deep plate. Peel off the lining disc. Pour a little of the gravy over the top and then serve in generous wedges with more hot gravy.


More than 980,000 bitcoins have been stolen from exchanges, which would be worth more than $15 billion at current exchange rates.
[dscrdeql] <javadth> January
Exchange: Bitstamp
Amount: $5,100,000 (19,000 BTC)
Hackers sent a malicious file to exchange employees. One of the system administrators has neglected security rule #1: "Don't open files from strangers" and opened the file on the machine that had access to the exchange's BTC wallet. 19,000 BTC were stolen.
[dscrdeql] <Linkara6669-Mod> How are you doing @plazma?
[dscrdeql] <plazma> @Linkara6669-Mod me enjoying running full node of pirate komodo and equaliser....so much fun.....
[dscrdeql] <plazma> @Linkara6669-Mod how r u.....
[dscrdeql] <plazma>
[dscrdeql] <Linkara6669-Mod> Nice :) I am just hanging out at home right now, just getting caught up on a few things and watching a show I haven't watched in ages


| Package | org.puremvc.as3.patterns.mediator |
| Class | public class Mediator |
| Inheritance | Mediator Notifier |
| Implements | IMediator, INotifier |
IMediator
implementation.
See also
| Property | Defined by | ||
|---|---|---|---|
| facade : IFacade | Notifier | ||
| mediatorName : String | Mediator | ||
| viewComponent : Object | Mediator |
| Method | Defined by | ||
|---|---|---|---|
|
Mediator(mediatorName:String = null, viewComponent:Object = null)
Constructor.
| Mediator | ||
|
getMediatorName():String
Get the name of the
Mediator . | Mediator | ||
|
getViewComponent():Object
Get the
Mediator 's view component. | Mediator | ||
|
handleNotification(notification:INotification):void
Handle
INotification s. | Mediator | ||
|
listNotificationInterests():Array
List the
INotification names this
Mediator is interested in being notified of. | Mediator | ||
|
onRegister():void
Called by the View when the Mediator is registered
| Mediator | ||
|
onRemove():void
Called by the View when the Mediator is removed
| Mediator | ||
|
sendNotification(notificationName:String, body:Object = null, type:String = null):void
Create and send an
INotification . | Notifier | ||
|
setViewComponent(viewComponent:Object):void
Set the
IMediator 's view component. | Mediator |
| Constant | Defined by | ||
|---|---|---|---|
| NAME : String = "Mediator" [static]
The name of the
Mediator . | Mediator |
| mediatorName | property |
protected var mediatorName:String
| viewComponent | property |
protected var viewComponent:Object
| Mediator | () | constructor |
public function Mediator(mediatorName:String = null, viewComponent:Object = null)
Constructor.
ParametersmediatorName:String (default = null )
|
|
viewComponent:Object (default = null )
|
| getMediatorName | () | method |
public function getMediatorName():String
Get the name of the Mediator
.
String — the Mediator name
|
| getViewComponent | () | method |
public function getViewComponent():Object
Get the Mediator
's view component.
Additionally, an implicit getter will usually be defined in the subclass that casts the view object to a type, like this:
private function get comboBox : mx.controls.ComboBox { return viewComponent as mx.controls.ComboBox; }
Object — the view component
|
| handleNotification | () | method |
public function handleNotification(notification:INotification):void
Handle INotification
s.
Typically this will be handled in a switch statement,
with one 'case' entry per INotification
the Mediator
is interested in.
notification:INotification |
| listNotificationInterests | () | method |
public function listNotificationInterests():Array
List the INotification
names this
Mediator
is interested in being notified of.
Array — Array the list of INotification names
|
| onRegister | () | method |
public function onRegister():void
Called by the View when the Mediator is registered
| onRemove | () | method |
public function onRemove():void
Called by the View when the Mediator is removed
| setViewComponent | () | method |
public function setViewComponent(viewComponent:Object):void
Set the IMediator
's view component.
viewComponent:Object — the view component
|
| NAME | constant |
public static const NAME:String = "Mediator"
The name of the Mediator
.
Typically, a Mediator
will be written to serve
one specific control or group controls and so,
will not have a need to be dynamically named.


db_open_env(
+EnvName,
-EnvRef)
db_open_env(
+EnvName,
+CacheSize,
-EnvRef)
absolute_file_name/3
conversion.
By using db_open_env/3
one can specify the size of the cache:
CacheSize is the (integer) size of the cache in kilobytes. The
size of the cache cannot be less than 20 kilobytes.
db_open_env/2
will create a cache of the system's default size.
The size of the cache is determined when the environment is created and cannot be changed by future openings.
A process cannot open the same environment more than once.
db_close_env(
+EnvRef)
db_current_env(
?EnvName,
?EnvRef)
db_open(
+DBName,
+Mode,
?SpecList,
-DBRef)
db_open(
+DBName,
+Mode,
?SpecList,
+Options,
-DBRef)
update
and the
db-spec SpecList must be ground. If an existing
database is opened and Mode is read
or update
,
SpecList is unified with the db-spec given when the
database was created. If the unification fails an error is
raised. DBRef is unified with a reference to the opened
database. DBName is not subject to
absolute_file_name/3
conversion.
If Mode is enumerate
then the indexing specification is not
read, and SpecList is left unbound.
Options provides a way to specify an environment in which to open the database, or a cache size. Options should be a list of terms of the following form:
environment(
EnvRef)
cache_size(
CacheSize)
default
, a default cache size will be used. If
CacheSize is given as the atom off
or the atom
none
, all modified records will be flushed to disk after each
operation.
To avoid inconsistency, if multiple processes open the same
database, then all of them should do that with Mode set to
read
or enumerate
. (This is not enforced by the system.)
db_close(
+DBRef)
db_current(
?DBName,
?Mode,
?SpecList,
?EnvRef,
?DBRef)
none
.
db_store(
+DBRef,
+Term,
-TermRef)
db_fetch(
+DBRef,
?Term,
?TermRef)
If TermRef is not instantiated then both the functor and the instantiatedness of Term must match a spec in the db-spec associated with DBRef.
If TermRef is instantiated, the referenced term is read and unified with Term.
If you simply want to find all matching terms, it is more
efficient to use db_findall/5
or db_enumerate/3
.
db_erase(
+DBRef,
+TermRef)
db_erase(
+DBRef,
+TermRef,
+Term)
In the case of db_erase/2
the term associated with
TermRef has to be looked up. db_erase/3
assumes that the
term Term is identical with the term associated with
TermRef (modulo variable renaming). If this is not the
case, the behavior is undefined.
db_enumerate(
+DBRef,
?Term,
?TermRef)
Unifies Term with a term from the database DBRef. At the same time, TermRef is unified with a corresponding term reference. Backtracking over the predicate unifies with all terms matching Term.
Implemented by linear search—the db-spec associated with DBRef
is ignored. It is not useful to call this predicate with
TermRef instantiated.
db_findall(
+DBRef,
+Template,
+Term,
:Goal,
-Bag)
findall(
Template, (db_fetch(
DBRef,
Term, _),
Goal),
Bag)
.
db_compress(
+DBRef,
+DBName)
db_compress(
+DBRef,
+DBName,
+SpecList)
db_compress/2
looks for a database with the db-spec of the
original one. db_compress/3
stores the terms found in the
original database with the indexing specification SpecList.
db_compress/2
cannot be used if the database DBRef
was opened in mode enumerate
.
If the database DBName already exists then the terms of DBRef will be appended to it. Of course DBName must have an indexing specification, which enables the terms in DBRef to be inserted into it.
In the case of db_compress/3
if the database DBName
does not exist, then SpecList must be a valid indexing
specification.
db_sync(
+DBRef)
db_make_iterator(
+DBRef,
-Iterator)
db_make_iterator(
+DBRef,
+Term,
-Iterator)
db_make_iterator/2
iterate through the
whole database. Iterators created with db_make_iterator/3
iterate through the terms that would be found by
db_fetch(
DBRef,
Term, _)
.
Every iterator created by db_make_iterator/[2,3]
must be
destroyed with db_iterator_done/1
.
db_iterator_next(
+Iterator,
-Term,
-TermRef)
db_iterator_done(
+Iterator)
db_current_iterator(
?DBRef,
?Term,
?Iterator)
db_make_iterator/2
then Term will be left
unbound.
db_export(
+DBName,
+ExportFile)
db_export(
+DBName,
+Options,
+ExportFile)
db_import/[2,3]
.
Options should be an options list of the form acceptable by
db_open/[4,5]
.
In SICStus 3.12.0 bdb:export/[2,3]
is available instead of
db_export/[2,3]
.
db_import(
+DBName,
+ImportFile)
db_import(
+DBName,
+Options,
+ImportFile)
If ImportFile is imported into an existing database, the SpecList found in the ImportFile will be unified with the SpecList in the database.
Options should be an options list of the form acceptable by
db_open/[4,5]
.
In SICStus 3.12.0 bdb:import/[2,3]
is available instead of
db_import/[2,3]
.


ESW is a non-profitable organization committed to building a better world. Student chapters focus on designing sustainable engineering projects. We are dedicated to bringing sustainability to campus and the local community. For more information, contact: esw.uci@gmail.com


--- layout: imdb_project ---
IMDB has a special list of top 250. However, this project tries to enlist top movies per category. Follow the tabs to find Tableau Informatiove charts of movies with their running time versus rating along with the year of release.
View the top movies with their runtime and ratings by category.
Here you can look at the titles of the movies and also visualize the year of release.
View this section to find a brief summary of when the data from each category is analyzed cumulatively. View the list of most popular genre. Also find the best directors. Find the average runtime of a movie based on a rating and more.
You might have seen IMDB's top 250 film list. The ist presented here is also the list of top rated movies per category.
Film theme wise a very minute positive cor-relation can be established between the film duration and the rating. However, some other lateral observations are note worthy. For example, genre vs. average rating shows the highly rated genres.


AOA's Seolhyun talks about her kiss scene with Yang Se Jong in the drama 'My Country'
by germainejAOA's Seolhyun talked about her kiss scene with Yang Se Jong in the drama 'My Country: The New Age'.
On the November 23rd installment of 'Knowing Brothers', Seolhyun was asked about her drama, and she said on the kiss scene, "It was the scene that the two characters found out their feelings for each other. We had to shoot from multiple angles, so it was embarrassing."
She continued, "I got hot temperature-wise, and my face came out red on the camera monitor. They told me to cool down outside."
Jimin added, "The character Seolhyun plays is very strong and smart, but she's normally cute."


Jax's consecutive basic attacks continuously increase his Attack Speed.
LEAP STRIKE
Jax leaps toward a unit. If they are an enemy, he strikes them with his weapon.
EMPOWER
Jax charges his weapon with energy, causing his next attack to deal additional damage.
COUNTER STRIKE
Jax's combat prowess allows him to dodge all incoming attacks for a short duration and then quickly counterattack, stunning all surrounding enemies.
GRANDMASTER'S MIGHT
Every third consecutive attack deals additional Magic Damage. Additionally, Jax can activate this ability to strengthen his resolve, increasing his Armor and Magic Resist for a short duration.


public class JavaSparkContext
extends Object
implements java.io.Closeable
SparkContext
that returns
JavaRDD
s and works with Java collections instead of Scala ones.
Only one SparkContext may be active per JVM. You must stop()
the active SparkContext before
creating a new one. This limitation may eventually be removed; see SPARK-2243 for more details.
| Constructor and Description |
|---|
JavaSparkContext()
Create a JavaSparkContext that loads settings from system properties (for instance, when
launching with ./bin/spark-submit).
|
JavaSparkContext(SparkConf conf) |
JavaSparkContext(SparkContext sc) |
JavaSparkContext(String master,
String appName) |
JavaSparkContext(String master,
String appName,
SparkConf conf) |
JavaSparkContext(String master,
String appName,
String sparkHome,
String jarFile) |
JavaSparkContext(String master,
String appName,
String sparkHome,
String[] jars) |
JavaSparkContext(String master,
String appName,
String sparkHome,
String[] jars,
java.util.Map<String,String> environment) |
| Modifier and Type | Method and Description |
|---|---|
<T,R> Accumulable<T,R> |
accumulable(T initialValue,
AccumulableParam<T,R> param)
Deprecated.
use AccumulatorV2. Since 2.0.0.
|
<T,R> Accumulable<T,R> |
accumulable(T initialValue,
String name,
AccumulableParam<T,R> param)
Deprecated.
use AccumulatorV2. Since 2.0.0.
|
Accumulator<Double> |
accumulator(double initialValue)
Deprecated.
use sc().doubleAccumulator(). Since 2.0.0.
|
Accumulator<Double> |
accumulator(double initialValue,
String name)
Deprecated.
use sc().doubleAccumulator(String). Since 2.0.0.
|
Accumulator<Integer> |
accumulator(int initialValue)
Deprecated.
use sc().longAccumulator(). Since 2.0.0.
|
Accumulator<Integer> |
accumulator(int initialValue,
String name)
Deprecated.
use sc().longAccumulator(String). Since 2.0.0.
|
<T> Accumulator<T> |
accumulator(T initialValue,
AccumulatorParam<T> accumulatorParam)
Deprecated.
use AccumulatorV2. Since 2.0.0.
|
<T> Accumulator<T> |
accumulator(T initialValue,
String name,
AccumulatorParam<T> accumulatorParam)
Deprecated.
use AccumulatorV2. Since 2.0.0.
|
void |
addFile(String path)
Add a file to be downloaded with this Spark job on every node.
|
void |
addFile(String path,
boolean recursive)
Add a file to be downloaded with this Spark job on every node.
|
void |
addJar(String path)
Adds a JAR dependency for all tasks to be executed on this SparkContext in the future.
|
String |
appName() |
JavaPairRDD<String,PortableDataStream> |
binaryFiles(String path)
Read a directory of binary files from HDFS, a local file system (available on all nodes),
or any Hadoop-supported file system URI as a byte array.
|
JavaPairRDD<String,PortableDataStream> |
binaryFiles(String path,
int minPartitions)
Read a directory of binary files from HDFS, a local file system (available on all nodes),
or any Hadoop-supported file system URI as a byte array.
|
JavaRDD<byte[]> |
binaryRecords(String path,
int recordLength)
Load data from a flat binary file, assuming the length of each record is constant.
|
<T> Broadcast<T> |
broadcast(T value)
Broadcast a read-only variable to the cluster, returning a
Broadcast object for reading it in distributed functions. |
void |
cancelAllJobs()
Cancel all jobs that have been scheduled or are running.
|
void |
cancelJobGroup(String groupId)
Cancel active jobs for the specified group.
|
void |
clearCallSite()
Pass-through to SparkContext.setCallSite.
|
void |
clearJobGroup()
Clear the current thread's job group ID and its description.
|
void |
close() |
Integer |
defaultMinPartitions()
Default min number of partitions for Hadoop RDDs when not given by user
|
Integer |
defaultParallelism()
Default level of parallelism to use when not given by user (e.g.
|
Accumulator<Double> |
doubleAccumulator(double initialValue)
Deprecated.
use sc().doubleAccumulator(). Since 2.0.0.
|
Accumulator<Double> |
doubleAccumulator(double initialValue,
String name)
Deprecated.
use sc().doubleAccumulator(String). Since 2.0.0.
|
<T> JavaRDD<T> |
emptyRDD()
Get an RDD that has no partitions or elements.
|
static JavaSparkContext |
fromSparkContext(SparkContext sc) |
Optional<String> |
getCheckpointDir() |
SparkConf |
getConf()
Return a copy of this JavaSparkContext's configuration.
|
String |
getLocalProperty(String key)
Get a local property set in this thread, or null if it is missing.
|
java.util.Map<Integer,JavaRDD<?>> |
getPersistentRDDs()
Returns a Java map of JavaRDDs that have marked themselves as persistent via cache() call.
|
Optional<String> |
getSparkHome()
Get Spark's home location from either a value set through the constructor,
or the spark.home Java property, or the SPARK_HOME environment variable
(in that order of preference).
|
org.apache.hadoop.conf.Configuration |
hadoopConfiguration()
Returns the Hadoop configuration used for the Hadoop code (e.g.
|
<K,V,F extends org.apache.hadoop.mapred.InputFormat<K,V>> |
hadoopFile(String path,
Class<F> inputFormatClass,
Class<K> keyClass,
Class<V> valueClass)
Get an RDD for a Hadoop file with an arbitrary InputFormat
|
<K,V,F extends org.apache.hadoop.mapred.InputFormat<K,V>> |
hadoopFile(String path,
Class<F> inputFormatClass,
Class<K> keyClass,
Class<V> valueClass,
int minPartitions)
Get an RDD for a Hadoop file with an arbitrary InputFormat.
|
<K,V,F extends org.apache.hadoop.mapred.InputFormat<K,V>> |
hadoopRDD(org.apache.hadoop.mapred.JobConf conf,
Class<F> inputFormatClass,
Class<K> keyClass,
Class<V> valueClass)
Get an RDD for a Hadoop-readable dataset from a Hadoop JobConf giving its InputFormat and any
other necessary info (e.g.
|
<K,V,F extends org.apache.hadoop.mapred.InputFormat<K,V>> |
hadoopRDD(org.apache.hadoop.mapred.JobConf conf,
Class<F> inputFormatClass,
Class<K> keyClass,
Class<V> valueClass,
int minPartitions)
Get an RDD for a Hadoop-readable dataset from a Hadoop JobConf giving its InputFormat and any
other necessary info (e.g.
|
Accumulator<Integer> |
intAccumulator(int initialValue)
Deprecated.
use sc().longAccumulator(). Since 2.0.0.
|
Accumulator<Integer> |
intAccumulator(int initialValue,
String name)
Deprecated.
use sc().longAccumulator(String). Since 2.0.0.
|
Boolean |
isLocal() |
static String[] |
jarOfClass(Class<?> cls)
Find the JAR from which a given class was loaded, to make it easy for users to pass
their JARs to SparkContext.
|
static String[] |
jarOfObject(Object obj)
Find the JAR that contains the class of a particular object, to make it easy for users
to pass their JARs to SparkContext.
|
java.util.List<String> |
jars() |
String |
master() |
<K,V,F extends org.apache.hadoop.mapreduce.InputFormat<K,V>> |
newAPIHadoopFile(String path,
Class<F> fClass,
Class<K> kClass,
Class<V> vClass,
org.apache.hadoop.conf.Configuration conf)
Get an RDD for a given Hadoop file with an arbitrary new API InputFormat
and extra configuration options to pass to the input format.
|
<K,V,F extends org.apache.hadoop.mapreduce.InputFormat<K,V>> |
newAPIHadoopRDD(org.apache.hadoop.conf.Configuration conf,
Class<F> fClass,
Class<K> kClass,
Class<V> vClass)
Get an RDD for a given Hadoop file with an arbitrary new API InputFormat
and extra configuration options to pass to the input format.
|
<T> JavaRDD<T> |
objectFile(String path)
Load an RDD saved as a SequenceFile containing serialized objects, with NullWritable keys and
BytesWritable values that contain a serialized partition.
|
<T> JavaRDD<T> |
objectFile(String path,
int minPartitions)
Load an RDD saved as a SequenceFile containing serialized objects, with NullWritable keys and
BytesWritable values that contain a serialized partition.
|
<T> JavaRDD<T> |
parallelize(java.util.List<T> list)
Distribute a local Scala collection to form an RDD.
|
<T> JavaRDD<T> |
parallelize(java.util.List<T> list,
int numSlices)
Distribute a local Scala collection to form an RDD.
|
JavaDoubleRDD |
parallelizeDoubles(java.util.List<Double> list)
Distribute a local Scala collection to form an RDD.
|
JavaDoubleRDD |
parallelizeDoubles(java.util.List<Double> list,
int numSlices)
Distribute a local Scala collection to form an RDD.
|
<K,V> JavaPairRDD<K,V> |
parallelizePairs(java.util.List<scala.Tuple2<K,V>> list)
Distribute a local Scala collection to form an RDD.
|
<K,V> JavaPairRDD<K,V> |
parallelizePairs(java.util.List<scala.Tuple2<K,V>> list,
int numSlices)
Distribute a local Scala collection to form an RDD.
|
SparkContext |
sc() |
<K,V> JavaPairRDD<K,V> |
sequenceFile(String path,
Class<K> keyClass,
Class<V> valueClass)
Get an RDD for a Hadoop SequenceFile.
|
<K,V> JavaPairRDD<K,V> |
sequenceFile(String path,
Class<K> keyClass,
Class<V> valueClass,
int minPartitions)
Get an RDD for a Hadoop SequenceFile with given key and value types.
|
void |
setCallSite(String site)
Pass-through to SparkContext.setCallSite.
|
void |
setCheckpointDir(String dir)
Set the directory under which RDDs are going to be checkpointed.
|
void |
setJobDescription(String value)
Set a human readable description of the current job.
|
void |
setJobGroup(String groupId,
String description)
Assigns a group ID to all the jobs started by this thread until the group ID is set to a
different value or cleared.
|
void |
setJobGroup(String groupId,
String description,
boolean interruptOnCancel)
Assigns a group ID to all the jobs started by this thread until the group ID is set to a
different value or cleared.
|
void |
setLocalProperty(String key,
String value)
Set a local property that affects jobs submitted from this thread, and all child
threads, such as the Spark fair scheduler pool.
|
void |
setLogLevel(String logLevel)
Control our logLevel.
|
String |
sparkUser() |
Long |
startTime() |
JavaSparkStatusTracker |
statusTracker() |
void |
stop()
Shut down the SparkContext.
|
JavaRDD<String> |
textFile(String path)
Read a text file from HDFS, a local file system (available on all nodes), or any
Hadoop-supported file system URI, and return it as an RDD of Strings.
|
JavaRDD<String> |
textFile(String path,
int minPartitions)
Read a text file from HDFS, a local file system (available on all nodes), or any
Hadoop-supported file system URI, and return it as an RDD of Strings.
|
static SparkContext |
toSparkContext(JavaSparkContext jsc) |
JavaDoubleRDD |
union(JavaDoubleRDD... rdds) |
JavaDoubleRDD |
union(JavaDoubleRDD first,
java.util.List<JavaDoubleRDD> rest)
Build the union of two or more RDDs.
|
<K,V> JavaPairRDD<K,V> |
union(JavaPairRDD<K,V>... rdds) |
<K,V> JavaPairRDD<K,V> |
union(JavaPairRDD<K,V> first,
java.util.List<JavaPairRDD<K,V>> rest)
Build the union of two or more RDDs.
|
<T> JavaRDD<T> |
union(JavaRDD<T>... rdds) |
<T> JavaRDD<T> |
union(JavaRDD<T> first,
java.util.List<JavaRDD<T>> rest)
Build the union of two or more RDDs.
|
String |
version()
The version of Spark on which this application is running.
|
JavaPairRDD<String,String> |
wholeTextFiles(String path)
Read a directory of text files from HDFS, a local file system (available on all nodes), or any
Hadoop-supported file system URI.
|
JavaPairRDD<String,String> |
wholeTextFiles(String path,
int minPartitions)
Read a directory of text files from HDFS, a local file system (available on all nodes), or any
Hadoop-supported file system URI.
|
public JavaSparkContext(SparkContext sc)
public JavaSparkContext()
public JavaSparkContext(SparkConf conf)
conf
- a SparkConf
object specifying Spark parameterspublic JavaSparkContext(String master, String appName)
master
- Cluster URL to connect to (e.g. mesos://host:port, spark://host:port, local[4]).appName
- A name for your application, to display on the cluster web UIpublic JavaSparkContext(String master, String appName, SparkConf conf)
master
- Cluster URL to connect to (e.g. mesos://host:port, spark://host:port, local[4]).appName
- A name for your application, to display on the cluster web UIconf
- a SparkConf
object specifying other Spark parameterspublic JavaSparkContext(String master, String appName, String sparkHome, String jarFile)
master
- Cluster URL to connect to (e.g. mesos://host:port, spark://host:port, local[4]).appName
- A name for your application, to display on the cluster web UIsparkHome
- The SPARK_HOME directory on the slave nodesjarFile
- JAR file to send to the cluster. This can be a path on the local file system
or an HDFS, HTTP, HTTPS, or FTP URL.public JavaSparkContext(String master, String appName, String sparkHome, String[] jars)
master
- Cluster URL to connect to (e.g. mesos://host:port, spark://host:port, local[4]).appName
- A name for your application, to display on the cluster web UIsparkHome
- The SPARK_HOME directory on the slave nodesjars
- Collection of JARs to send to the cluster. These can be paths on the local file
system or HDFS, HTTP, HTTPS, or FTP URLs.public JavaSparkContext(String master, String appName, String sparkHome, String[] jars, java.util.Map<String,String> environment)
master
- Cluster URL to connect to (e.g. mesos://host:port, spark://host:port, local[4]).appName
- A name for your application, to display on the cluster web UIsparkHome
- The SPARK_HOME directory on the slave nodesjars
- Collection of JARs to send to the cluster. These can be paths on the local file
system or HDFS, HTTP, HTTPS, or FTP URLs.environment
- Environment variables to set on worker nodespublic static JavaSparkContext fromSparkContext(SparkContext sc)
public static SparkContext toSparkContext(JavaSparkContext jsc)
public static String[] jarOfClass(Class<?> cls)
cls
- (undocumented)public static String[] jarOfObject(Object obj)
obj
- (undocumented)public SparkContext sc()
public JavaSparkStatusTracker statusTracker()
public Boolean isLocal()
public String sparkUser()
public String master()
public String appName()
public java.util.List<String> jars()
public Long startTime()
public String version()
public Integer defaultParallelism()
public Integer defaultMinPartitions()
public <T> JavaRDD<T> parallelize(java.util.List<T> list, int numSlices)
public <T> JavaRDD<T> emptyRDD()
public <T> JavaRDD<T> parallelize(java.util.List<T> list)
public <K,V> JavaPairRDD<K,V> parallelizePairs(java.util.List<scala.Tuple2<K,V>> list, int numSlices)
public <K,V> JavaPairRDD<K,V> parallelizePairs(java.util.List<scala.Tuple2<K,V>> list)
public JavaDoubleRDD parallelizeDoubles(java.util.List<Double> list, int numSlices)
public JavaDoubleRDD parallelizeDoubles(java.util.List<Double> list)
public JavaRDD<String> textFile(String path)
path
- (undocumented)public JavaRDD<String> textFile(String path, int minPartitions)
path
- (undocumented)minPartitions
- (undocumented)public JavaPairRDD<String,String> wholeTextFiles(String path, int minPartitions)
For example, if you have the following files:
hdfs://a-hdfs-path/part-00000
hdfs://a-hdfs-path/part-00001
...
hdfs://a-hdfs-path/part-nnnnn
Do
JavaPairRDD<String, String> rdd = sparkContext.wholeTextFiles("hdfs://a-hdfs-path")
then rdd
contains
(a-hdfs-path/part-00000, its content)
(a-hdfs-path/part-00001, its content)
...
(a-hdfs-path/part-nnnnn, its content)
minPartitions
- A suggestion value of the minimal splitting number for input data.path
- (undocumented)public JavaPairRDD<String,String> wholeTextFiles(String path)
path
- (undocumented)wholeTextFiles(path: String, minPartitions: Int)
.public JavaPairRDD<String,PortableDataStream> binaryFiles(String path, int minPartitions)
For example, if you have the following files:
hdfs://a-hdfs-path/part-00000
hdfs://a-hdfs-path/part-00001
...
hdfs://a-hdfs-path/part-nnnnn
Do
JavaPairRDD<String, byte[]> rdd = sparkContext.dataStreamFiles("hdfs://a-hdfs-path")
then rdd
contains
(a-hdfs-path/part-00000, its content)
(a-hdfs-path/part-00001, its content)
...
(a-hdfs-path/part-nnnnn, its content)
minPartitions
- A suggestion value of the minimal splitting number for input data.path
- (undocumented)public JavaPairRDD<String,PortableDataStream> binaryFiles(String path)
For example, if you have the following files:
hdfs://a-hdfs-path/part-00000
hdfs://a-hdfs-path/part-00001
...
hdfs://a-hdfs-path/part-nnnnn
Do
JavaPairRDD<String, byte[]> rdd = sparkContext.dataStreamFiles("hdfs://a-hdfs-path")
,
then rdd
contains
(a-hdfs-path/part-00000, its content)
(a-hdfs-path/part-00001, its content)
...
(a-hdfs-path/part-nnnnn, its content)
path
- (undocumented)public JavaRDD<byte[]> binaryRecords(String path, int recordLength)
path
- Directory to the input data filesrecordLength
- (undocumented)public <K,V> JavaPairRDD<K,V> sequenceFile(String path, Class<K> keyClass, Class<V> valueClass, int minPartitions)
path
- (undocumented)keyClass
- (undocumented)valueClass
- (undocumented)minPartitions
- (undocumented)map
function.public <K,V> JavaPairRDD<K,V> sequenceFile(String path, Class<K> keyClass, Class<V> valueClass)
path
- (undocumented)keyClass
- (undocumented)valueClass
- (undocumented)map
function.public <T> JavaRDD<T> objectFile(String path, int minPartitions)
path
- (undocumented)minPartitions
- (undocumented)public <T> JavaRDD<T> objectFile(String path)
path
- (undocumented)public <K,V,F extends org.apache.hadoop.mapred.InputFormat<K,V>> JavaPairRDD<K,V> hadoopRDD(org.apache.hadoop.mapred.JobConf conf, Class<F> inputFormatClass, Class<K> keyClass, Class<V> valueClass, int minPartitions)
conf
- JobConf for setting up the dataset. Note: This will be put into a Broadcast.
Therefore if you plan to reuse this conf to create multiple RDDs, you need to make
sure you won't modify the conf. A safe approach is always creating a new conf for
a new RDD.inputFormatClass
- Class of the InputFormatkeyClass
- Class of the keysvalueClass
- Class of the valuesminPartitions
- Minimum number of Hadoop Splits to generate.
map
function.public <K,V,F extends org.apache.hadoop.mapred.InputFormat<K,V>> JavaPairRDD<K,V> hadoopRDD(org.apache.hadoop.mapred.JobConf conf, Class<F> inputFormatClass, Class<K> keyClass, Class<V> valueClass)
conf
- JobConf for setting up the dataset. Note: This will be put into a Broadcast.
Therefore if you plan to reuse this conf to create multiple RDDs, you need to make
sure you won't modify the conf. A safe approach is always creating a new conf for
a new RDD.inputFormatClass
- Class of the InputFormatkeyClass
- Class of the keysvalueClass
- Class of the values
map
function.public <K,V,F extends org.apache.hadoop.mapred.InputFormat<K,V>> JavaPairRDD<K,V> hadoopFile(String path, Class<F> inputFormatClass, Class<K> keyClass, Class<V> valueClass, int minPartitions)
path
- (undocumented)inputFormatClass
- (undocumented)keyClass
- (undocumented)valueClass
- (undocumented)minPartitions
- (undocumented)map
function.public <K,V,F extends org.apache.hadoop.mapred.InputFormat<K,V>> JavaPairRDD<K,V> hadoopFile(String path, Class<F> inputFormatClass, Class<K> keyClass, Class<V> valueClass)
path
- (undocumented)inputFormatClass
- (undocumented)keyClass
- (undocumented)valueClass
- (undocumented)map
function.public <K,V,F extends org.apache.hadoop.mapreduce.InputFormat<K,V>> JavaPairRDD<K,V> newAPIHadoopFile(String path, Class<F> fClass, Class<K> kClass, Class<V> vClass, org.apache.hadoop.conf.Configuration conf)
path
- (undocumented)fClass
- (undocumented)kClass
- (undocumented)vClass
- (undocumented)conf
- (undocumented)map
function.public <K,V,F extends org.apache.hadoop.mapreduce.InputFormat<K,V>> JavaPairRDD<K,V> newAPIHadoopRDD(org.apache.hadoop.conf.Configuration conf, Class<F> fClass, Class<K> kClass, Class<V> vClass)
conf
- Configuration for setting up the dataset. Note: This will be put into a Broadcast.
Therefore if you plan to reuse this conf to create multiple RDDs, you need to make
sure you won't modify the conf. A safe approach is always creating a new conf for
a new RDD.fClass
- Class of the InputFormatkClass
- Class of the keysvClass
- Class of the values
map
function.public <T> JavaRDD<T> union(JavaRDD<T> first, java.util.List<JavaRDD<T>> rest)
public <K,V> JavaPairRDD<K,V> union(JavaPairRDD<K,V> first, java.util.List<JavaPairRDD<K,V>> rest)
public JavaDoubleRDD union(JavaDoubleRDD first, java.util.List<JavaDoubleRDD> rest)
public Accumulator<Integer> intAccumulator(int initialValue)
Accumulator
integer variable, which tasks can "add" values
to using the add
method. Only the master can access the accumulator's value
.initialValue
- (undocumented)public Accumulator<Integer> intAccumulator(int initialValue, String name)
Accumulator
integer variable, which tasks can "add" values
to using the add
method. Only the master can access the accumulator's value
.
This version supports naming the accumulator for display in Spark's web UI.
initialValue
- (undocumented)name
- (undocumented)public Accumulator<Double> doubleAccumulator(double initialValue)
Accumulator
double variable, which tasks can "add" values
to using the add
method. Only the master can access the accumulator's value
.initialValue
- (undocumented)public Accumulator<Double> doubleAccumulator(double initialValue, String name)
Accumulator
double variable, which tasks can "add" values
to using the add
method. Only the master can access the accumulator's value
.
This version supports naming the accumulator for display in Spark's web UI.
initialValue
- (undocumented)name
- (undocumented)public Accumulator<Integer> accumulator(int initialValue)
Accumulator
integer variable, which tasks can "add" values
to using the add
method. Only the master can access the accumulator's value
.initialValue
- (undocumented)public Accumulator<Integer> accumulator(int initialValue, String name)
Accumulator
integer variable, which tasks can "add" values
to using the add
method. Only the master can access the accumulator's value
.
This version supports naming the accumulator for display in Spark's web UI.
initialValue
- (undocumented)name
- (undocumented)public Accumulator<Double> accumulator(double initialValue)
Accumulator
double variable, which tasks can "add" values
to using the add
method. Only the master can access the accumulator's value
.initialValue
- (undocumented)public Accumulator<Double> accumulator(double initialValue, String name)
Accumulator
double variable, which tasks can "add" values
to using the add
method. Only the master can access the accumulator's value
.
This version supports naming the accumulator for display in Spark's web UI.
initialValue
- (undocumented)name
- (undocumented)public <T> Accumulator<T> accumulator(T initialValue, AccumulatorParam<T> accumulatorParam)
Accumulator
variable of a given type, which tasks can "add"
values to using the add
method. Only the master can access the accumulator's value
.initialValue
- (undocumented)accumulatorParam
- (undocumented)public <T> Accumulator<T> accumulator(T initialValue, String name, AccumulatorParam<T> accumulatorParam)
Accumulator
variable of a given type, which tasks can "add"
values to using the add
method. Only the master can access the accumulator's value
.
This version supports naming the accumulator for display in Spark's web UI.
initialValue
- (undocumented)name
- (undocumented)accumulatorParam
- (undocumented)public <T,R> Accumulable<T,R> accumulable(T initialValue, AccumulableParam<T,R> param)
Accumulable
shared variable of the given type, to which tasks
can "add" values with add
. Only the master can access the accumulable's value
.initialValue
- (undocumented)param
- (undocumented)public <T,R> Accumulable<T,R> accumulable(T initialValue, String name, AccumulableParam<T,R> param)
Accumulable
shared variable of the given type, to which tasks
can "add" values with add
. Only the master can access the accumulable's value
.
This version supports naming the accumulator for display in Spark's web UI.
initialValue
- (undocumented)name
- (undocumented)param
- (undocumented)public <T> Broadcast<T> broadcast(T value)
Broadcast
object for reading it in distributed functions.
The variable will be sent to each cluster only once.value
- (undocumented)public void stop()
public void close()
close
in interface java.io.Closeable
close
in interface AutoCloseable
public Optional<String> getSparkHome()
public void addFile(String path)
path
passed can be either a local file, a file in HDFS (or other Hadoop-supported
filesystems), or an HTTP, HTTPS or FTP URI. To access the file in Spark jobs,
use SparkFiles.get(fileName)
to find its download location.path
- (undocumented)public void addFile(String path, boolean recursive)
path
passed can be either a local file, a file in HDFS (or other Hadoop-supported
filesystems), or an HTTP, HTTPS or FTP URI. To access the file in Spark jobs,
use SparkFiles.get(fileName)
to find its download location.
A directory can be given if the recursive option is set to true. Currently directories are only supported for Hadoop-supported filesystems.
path
- (undocumented)recursive
- (undocumented)public void addJar(String path)
path
passed can be either a local file, a file in HDFS (or other Hadoop-supported
filesystems), or an HTTP, HTTPS or FTP URI.path
- (undocumented)public org.apache.hadoop.conf.Configuration hadoopConfiguration()
public void setCheckpointDir(String dir)
dir
- (undocumented)public Optional<String> getCheckpointDir()
public SparkConf getConf()
public void setCallSite(String site)
site
- (undocumented)public void clearCallSite()
public void setLocalProperty(String key, String value)
These properties are inherited by child threads spawned from this thread. This may have unexpected consequences when working with thread pools. The standard java implementation of thread pools have worker threads spawn other worker threads. As a result, local properties may propagate unpredictably.
key
- (undocumented)value
- (undocumented)public String getLocalProperty(String key)
org.apache.spark.api.java.JavaSparkContext.setLocalProperty
.key
- (undocumented)public void setJobDescription(String value)
value
- (undocumented)public void setLogLevel(String logLevel)
logLevel
- The desired log level as a string.
Valid log levels include: ALL, DEBUG, ERROR, FATAL, INFO, OFF, TRACE, WARNpublic void setJobGroup(String groupId, String description, boolean interruptOnCancel)
Often, a unit of execution in an application consists of multiple Spark actions or jobs. Application programmers can use this method to group all those jobs together and give a group description. Once set, the Spark web UI will associate such jobs with this group.
The application can also use org.apache.spark.api.java.JavaSparkContext.cancelJobGroup
to cancel all running jobs in this group. For example,
// In the main thread:
sc.setJobGroup("some_job_to_cancel", "some job description");
rdd.map(...).count();
// In a separate thread:
sc.cancelJobGroup("some_job_to_cancel");
If interruptOnCancel is set to true for the job group, then job cancellation will result in Thread.interrupt() being called on the job's executor threads. This is useful to help ensure that the tasks are actually stopped in a timely manner, but is off by default due to HDFS-1208, where HDFS may respond to Thread.interrupt() by marking nodes as dead.
groupId
- (undocumented)description
- (undocumented)interruptOnCancel
- (undocumented)public void setJobGroup(String groupId, String description)
groupId
- (undocumented)description
- (undocumented)setJobGroup(groupId: String, description: String, interruptThread: Boolean)
.
This method sets interruptOnCancel to false.public void clearJobGroup()
public void cancelJobGroup(String groupId)
org.apache.spark.api.java.JavaSparkContext.setJobGroup
for more information.groupId
- (undocumented)public void cancelAllJobs()
public java.util.Map<Integer,JavaRDD<?>> getPersistentRDDs()
public JavaDoubleRDD union(JavaDoubleRDD... rdds)
@SafeVarargs public final <K,V> JavaPairRDD<K,V> union(JavaPairRDD<K,V>... rdds)


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{{ judge.bio | safe }}
If you've ever wanted to build an app,
now's the time to learn.
DevFest is Columbia's week-long workshop series and hackathon. DevFest is about learning, community, and building amazing things with technology.
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All particpants are should be familiar to our code of conduct. By attending any DevFest or any related event, you agree to its contents.


Human Science Visualisation
Dr Martin Chorley
@martinjc
Some (interesting) Visualisations to do with People
Dr Martin Chorley
@martinjc
Courtesy of Oak Ridge National Laboratory, U.S. Dept. of Energy
Exploring/Understanding
vs.
Communicating
Don't be afraid to get complicated
Interaction is your friend
But how do we publish it?
Tip for communication:
<Watch what the newsrooms are doing
Some (interesting) Visualisations to do with People
Dr Martin Chorley
@martinjc


Input URLs of Input model & target model with new dress to generate a swapped image
Provide a single image URL of model to generate images in new poses


Netflix reveals pics of Pearl Thusi and cast of 'Queen Sono'
by Algoa FMNetflix posted the first pics of Pearl Thusi and the cast of the African original series, 'Queen Sono'.
Queen Sono is a Netflix South Africa original series. The lead character who is played by Pearl Thusi, is a highly trained South African spy who faces changing relationships in her personal life while taking on the most dangerous missions yet.
Earlier today the netflixsa Instagram account posted the following pics with the following simple caption: "Get ready. She's coming. A first look at the first Netflix African Original #QueenSono."
In Picture: Pearl Thusi as Queen Sono
In Picture: Pearl Thusi
In Picture: Pearl Thusi
In Picture: Pearl Thusi and Vuyo Dabula as Shandu
In Picture: Loyiso Madinga
In Picture: Kate Liquorish as Ekaterina
The series that was filmed locally is said to be released in January 2020.


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