Check Browser Console, should see a similar error:
Content Security Policy: The page's settings blocked the loading of a resource at https://maxcdn.bootstrapcdn.com/font-awesome/4.5.0/css/font-awesome.min.css ("style-src http://localhost:22935").


No2ID run a variety of lists, for a variety of purposes: for more information on a list, see the obligatory Wikipedia page.
Unless indictated (usually with the word "announce" appended to the list-name), all of our lists are discussion (i.e., any list-member may post), with private archives, and where mail from non-members are rejected outright.
For the benefit of all members of the list, the following rules are imposed:
To subscribe to a list, you can do this via the web-interface, or via email. Details of unsubscribing are in each message: at the bottom, and in the headers.
At the moment, there's not an easy way to change your subscribed email address.
There is, however, the annoyance of unsubscribing the old address, and resubscribing with the new address: if you mail the listmasters, this is what they have to do for you.
As time permits, we'll write a form/script that makes this a wee bit easier: if you'd like to write one for us (prefereably in Perl or Python) please do get in touch with listmaster-at-no2id-dot-net
Once you're a list-member, and set your mail-client to send plain-text mails
(to the list if nothing else), just send an email as you ordinarily would: text
in the body, a meaningful subject line, &c. Instead of sending it to
a person, you send it to the list address, e.g.,
<EMAIL_ADDRESS>(the actual address will depend
on the list, and is contained in the automatically generated mail you
received when you subscribed to the list) — you can add the list
address to your email address book if you find that easier, too (but please do
keep your anti-virus software up-to date).
Sending your mail to other addresses, in addition to the list's, will trigger the list-software to automatically place the message on hold — where it will be reviewed by the list-admins as time permits (they do this in their spare time, along with most of the other tech-stuff for the campaign), unless it's been a busy week and the message queued has since been automatically removed from the queue.
Also, you'll find sending your message to the list using To: or Cc: should get through a lot more easily than if it's bcc'd.
If you sent a mail to the list, and got a bounce back saying the message was rejected, it's probably a case that the list doesn't think you're email address is a member of the list.
The easiest way of checking is to find the last mail sent to you by the list, and looking for the 'envelope-to:' header (don't know how to? here's a link, or do an internet search using the words "email" "header" "display" and whatever program you use to read email with).
Once you've worked that out, make sure your From: header includes your subscribed email addresss.
Contacting the list-admins will probably include this advice, and if appropriate a comment along the lines of "you're sending from<EMAIL_ADDRESS>That's not subscribed to the list. In order to post you need to be a member of the list, and send from your subscribed address"
This is a "feature" (or, as we think of it, a bug) in Gmail, see their words of wisdom for more info.
Annoyingly, some list-messages may be marked as spam by
aggressive spam-filters. You may find whitelisting
<EMAIL_ADDRESS>does the job (our lists
are set-up to reject mail from people who aren't list-members),
or if you want more control over that, add to your email
address-book<EMAIL_ADDRESS>and
<EMAIL_ADDRESS>where 'listname' is the
name of the list, e.g., for the fictitious list
<EMAIL_ADDRESS>', you'd use
<EMAIL_ADDRESS>' and
<EMAIL_ADDRESS>'
Autoresponders that send to lists are a nuisance. Please refrain from using broken mail-clients that will send an auto-response. Either to the list, to the sender, or the list administrative addresses.
People who do not heed this request risk having their subscriptions to the lists (a) disabled, and (b) moderated: in their first instances. Persistent offenders may administratively be removed from the list, and banned from posting.
Jeffrey Goldberg's written some notes/advice on these matters.
Ah yes, you want the listing!
http://lists.no2id.net/mailman/listinfo
Our older lists are currently hosted on
http://www.no2id.net/mailman/listinfo
If you're looking for lists for the local-groups,
http://www.no2id.net/localgroups
may be a good starting point.
In each case<EMAIL_ADDRESS>is the address to use, where listname is the list's name. Please note that we run several hundred lists, on a few machines, so it's crucial that you provide as much information as possible, particularly if you're contacting us over list (un-)subscriptions.


Using Canny edge detection and a little calculus, we're able to use footage of Toomer's Corner to automatically.. wait... autoMAGICally detect whenever Toomer's Corner is rolled. Sure you could just guess by who wins a football game but hey, what fun is that?
These apps were all written by current and former math PhD students at Auburn University. Our image detection is written in the Haskell functional programming language, while our frontend is an mix of Ruby and the completely unrecommended TPBaaS (Twitter-Powered-Backend-as-a-Service) programming pattern. Add a little Bash scripting to glue it all together, and baby, you've got a web app going.
Fair enough. We stuck the full technical details on our README page. By the way, we are open-source, so please feel free to contribute!
Follow us on these Social Mediums!
@IsToomersCornerBeingRolledRightNow
@IsToomersRolled
IsToomersCornerBeingRolledRightNow


Aegisub / Automation / Karaoke Templater / Inline variables
This page describes the inline variables also known as dollar variables available in Karaoke Templater.
How to use inline variables
All inline variables start with a dollar-sign. They only work in template lines, not in code lines. You can, however, use them in code blocks on template lines.
Here is an example of how a template text using inline variables could look:
{\pos(**$x**,**$y**)\t(**$start**,**$end**,\bord0)}
The highlighted parts are the inline variables in the template.
When a template is applied, the first thing that happens is that all inline variables are found and replaced with their value. Eg. in the above example $x
and $y
are replaced with the X and Y coordinates of the syllable the template is being applied to, and $start
and $end
are replaced by the start and end times of the syllable.
Case does not matter for inline variables, $start
, $START
and $StArT
all work and give the same result.
Limitations
Inline variables are not "intelligent", they do the same no matter where you place them or use them, it doesn't "know" what tag it's being used with. Not every variable can be used with success in all places, and the meaning of some are affected by usage of eg. the retime function. In these cases, inline variables may not be appropriate and you need to use code blocks.
Because inline variables have their values determined as the very first thing when a template is applied you can't affect their values in any way.
Using inline variables is an easy way to get started with an effect, but for many advanced effects they might not be the best choice.
All positioning and sizing inline variables (such as $y
, $right
and $width
are rounded to the nearest whole pixel, unlike the values in the internal data structures which you can get in code blocks, they have sub-pixel precision.
Line and syllable variables
The inline variables exist in both "line" and "syllable" variants. The "line" variants contain information about the entire line being processed, the "syllable" variants contain information about the current syllable being processed.
There are also "automatic" variants of most of the variables, there are either the line or the syllable variant depending on what kind of template they are used in. In pre-line templates the automatic inline variables refer to the line variants, and everywhere else they refer to the syllable variants.
The variables
The line variables that also exist as automatic variants all start with a lowercase L ("ell") letter, the syllable variants start with the letter S.
| Line variants |
| ------------------------------ | ------------------------------------------------------------------------------------------------------------------------------------------------------------------------
| layer | line layer
| lstart, lend, ldur, lmid | line start time, end time, duration and midway, all absolute times in milliseconds
| style | name of the line style
| actor | name of the line actor
| margin_l, margin_r | effective left and right margin (line if nonzero, otherwise style)
| margin_v, margin_t, margin_b | effective vertical, top and bottom margin, vertical and top is same
| syln | number of syllables on line
| li | line index (first physical line in file is 1)
| lleft, lcenter, lright | line left, horizontal center and right edges, taking margins and alignment into account, rounded to an integer value
| ltop, lmiddle, lbottom | line top, vertical middle and bottom edges, taking margins and alignment into account, rounded
| lx, ly | line x and y position suitable for a \pos command when alignment is not overridden
| lwidth, lheight | line width and height in pixels, this is rounded and might not match exactly with the positioning variables
| Syllable variants |
| ------------------------------ | ------------------------------------------------------------------------------------------------------------------------------------------------------------------------
| sstart, send, smid | syllable start, end and midway times relative to start of line, suitable for putting into \t and \move
| sdur, skdur | syllable duration in milliseconds and centiseconds
| si | syllable index from start of line
| sleft, scenter, sright | absolute left, horizontal center and right edges for syllable from left edge of screen, suitable directly for \pos and \move
| sbottom, smiddle, stop | absolute bottom, vertical middle and top edges for syllable from top edge of screen, suitable directly for \pos and \move, adjusted for furigana positioning if needed
| sx, sy | syllable absolute x and y position in default alignment, suitable for using directly in \pos and \move
| swidth, sheight | syllable width and height in pixelsthis is rounded and might not match exactly with the positioning variables
| Automatic variants |
| ------------------------------ | ------------------------------------------------------------------------------------------------------------------------------------------------------------------------
| start, end, mid | start and and midway time for line/syllable; absolute for lines and relative for syllables
| dur, kdur | duration in milliseconds and centiseconds of line/syllable
| i | line or syllable index
| left, center, right | left, center and right edges of line/syllable, absolute from left screen edge
| top, middle, bottom | top middle and bottom edges of line/syllable, absolute from top screen edge
| x, y | x and y position of line/syllable when using default alignment
| width, height | width and height of line/syllable in pixels, this is rounded and might not match exactly with the positioning variables


Package it.polimi.ingsw.client.view.GUI
Interface PaymentController
- All Known Implementing Classes:
ActivateProductionController
,BuyDevCardController
public interface PaymentController
Interface that allows to handle player's decision while performing an action that requires picking resources
from warehouse.
-
Method Summary
Modifier and Type Method Description default boolean
addToCostList(java.util.List<Pair<ResourceType,java.lang.Integer>> neededResources, int resourceIndex, int taken, int currentValue, javafx.scene.control.TextField resource)
Method that adds some occurrences related to a certain resource type in list given as the first parameter after that a player has clicked on a minus button.default void
closeAction(javafx.scene.control.Button concludeButton)
default void
createInstructionEntry(java.util.Map<ResourceSource,java.util.EnumMap<ResourceType,java.lang.Integer>> paymentInstruction, java.util.List<Pair<ResourceType,java.lang.Integer>> neededResources, int resourceIndex, int sourceDepot, int sourceStrongbox, int sourceExtra)
Create an entry in a map that represents how the resources have to be picked from player's warehouse.default boolean
editedCostList(java.util.List<Pair<ResourceType,java.lang.Integer>> neededResources, int resourceIndex, int taken, int currentValue, javafx.scene.control.TextField resource)
Method that modifies its first parameter according to player's selection.void
hideError()
default java.util.Map<ResourceSource,java.util.EnumMap<ResourceType,java.lang.Integer>>
initializeMap()
Initializes and returns a map containing three entries corresponding to resources that have to be picked from depots, extra depots and strongbox.default boolean
isAvailableExtraDepotOfType(ResourceType resource, Client client)
Boolean method that checks if an extra depot is available for the client that is performing the action.default boolean
isPaymentDone(java.util.List<Pair<ResourceType,java.lang.Integer>> requiredResources)
Boolean method that checks if map representing cost of the action has been reset.default void
makeTextInvisible(javafx.scene.text.Text text)
void
maxOccurrencesSet(java.lang.String s)
Displays that maximum number of occurrences for a certain resource type has been selected.void
setVisibleFirstResource()
void
setVisibleSecondResource()
void
setVisibleThirdResource()
void
showFinishButton()
default void
showRequiredResources(java.util.List<Pair<ResourceType,java.lang.Integer>> neededResources)
Method to display buttons and image related to resources needed to perform an action.
-
Method Details
-
setVisibleFirstResource
void setVisibleFirstResource() -
setVisibleSecondResource
void setVisibleSecondResource() -
setVisibleThirdResource
void setVisibleThirdResource() -
showRequiredResources
default void showRequiredResources(java.util.List<Pair<ResourceType,java.lang.Integer>> neededResources)Method to display buttons and image related to resources needed to perform an action. -
isAvailableExtraDepotOfType
Boolean method that checks if an extra depot is available for the client that is performing the action. -
isPaymentDone
default boolean isPaymentDone(java.util.List<Pair<ResourceType,java.lang.Integer>> requiredResources)Boolean method that checks if map representing cost of the action has been reset. -
initializeMap
default java.util.Map<ResourceSource,java.util.EnumMap<ResourceType,java.lang.Integer>> initializeMap()Initializes and returns a map containing three entries corresponding to resources that have to be picked from depots, extra depots and strongbox. -
createInstructionEntry
default void createInstructionEntry(java.util.Map<ResourceSource,java.util.EnumMap<ResourceType,java.lang.Integer>> paymentInstruction, java.util.List<Pair<ResourceType,java.lang.Integer>> neededResources, int resourceIndex, int sourceDepot, int sourceStrongbox, int sourceExtra)Create an entry in a map that represents how the resources have to be picked from player's warehouse.- Parameters:
paymentInstruction
- map representing how to take resources.neededResources
- list containing for each resource type how many occurrences are required.resourceIndex
- index of pair inside needed resources parameter.sourceDepot
- occurrences of resource type to take from depots.sourceStrongbox
- occurrences of resource type to take from strongbox.sourceExtra
- occurrences of resource type to take from extra depots.
-
makeTextInvisible
default void makeTextInvisible(javafx.scene.text.Text text) -
editedCostList
default boolean editedCostList(java.util.List<Pair<ResourceType,java.lang.Integer>> neededResources, int resourceIndex, int taken, int currentValue, javafx.scene.control.TextField resource)Method that modifies its first parameter according to player's selection.- Parameters:
neededResources
- list possibly edited.resourceIndex
- index of list element.taken
- number of resources taken.currentValue
- occurrences of needed resource type.resource
- text field that displays current value of occurrences selected.- Returns:
- true if the list corresponding to the first parameter of the method has been edited.
-
addToCostList
default boolean addToCostList(java.util.List<Pair<ResourceType,java.lang.Integer>> neededResources, int resourceIndex, int taken, int currentValue, javafx.scene.control.TextField resource)Method that adds some occurrences related to a certain resource type in list given as the first parameter after that a player has clicked on a minus button.- Parameters:
neededResources
- list to edit.resourceIndex
- index of resource type related to selection.taken
- number of occurrences subtracted to current value.currentValue
- number of occurrences currently selected.resource
- text field that displays current value of occurrences selected.- Returns:
- true if some occurrences have been added to the costs list.
-
closeAction
default void closeAction(javafx.scene.control.Button concludeButton) -
showFinishButton
void showFinishButton() -
hideError
void hideError() -
maxOccurrencesSet
void maxOccurrencesSet(java.lang.String s)Displays that maximum number of occurrences for a certain resource type has been selected.- Parameters:
s
- string to be displayed.
-


One Page About Mopeds
All About My Mopeds!
Pizza
Best Mopeds
Why? Mopeds!
You should Moped!
Follow me on twitter
Mopeds are Awesome!
Why? Mopeds!
Because they are wicked fun!
You should Moped too!
My wife tried mopeds and she loves them!


Bhavani Rajan
Post Here Project Lead, Bhavani is a Data Scientist by trade and a plant mom. Her favorite subreddit is r/permaculture.
Mario Sanchez
Mario is a full stack react developer hailing from Los Angeles, CA. His favorite subreddits are r/videogames and r/coding.
Matthew Malloy
Matthew is a full stack react developer and current LA native in the Arts District. He loves nothing more than deploying react apps from his r/battlestation.
Genard Tejano
Ivan managed database access and authentication using the Node.js backend for the Post Here project. He loves trading synthesizer rigs on r/mechmarket.
Zack Murray
Zack is the Data Scientist who turned our Reddit data into a predictive model. Being a professional frisbee fanatic, his favorite subreddit is r/discgolf.
Justin Lohner
Justin has built out the dually-comaptible Java backend to parse our predictive modelling into actionable data for our users. An Orem, UT socialite, Justin likes defying the odds with the folks at r/whatcouldgowrong.
Tyler Etheridge
Tyler was the brains behind database management. Currently based in Connecticut, he oversaw API access with a style fit for r/mechanicalkeyboards.
Kevin Liu
Kevin is a Californian who managed our API routing and internal database construction. Since starting this project, Kevin has discovered a newfound affinity for r/tekken67.
Alex Goncalves
This is Alex's premiere work as UI designer. Presently quarantining in his parents' basement in State College, PA, Alex spends his spare time lurking on r/comedycemetery.


{% extends "base.html" %} {% load compress humanize staticfiles hc_extras %} {% block title %}Notification Channels - healthchecks.io{% endblock %} {% block content %}
You can use AfricasTalking, To send sms to the system users.
From here on pass in your AfricasTalking password to generate your app API Key.
API Key will be generated then paste it below along with the username used while creating the app.


ContainerCoordinator
open class ContainerCoordinator<T> : Coordinator<T>, HasChildren where T : UIViewController, T : Coordinated
The simplest Coordinator that can have other children Coordinators.
This does everything that Coordinator does plus managing the hierarchy and navigation flow, i.e. how the children are presented and where in the navigation flow.
The idea is that you can use it as a switch
between any kind of Coordinator.
-
An array containing the children Coordinators
Declaration
Swift
private(set) public var childCoordinators: [String : Coordinating]
-
The currently presented UIViewController inside this Coordinator
Declaration
Swift
private(set) open var currentViewController: UIViewController?
-
Returns a cached children Coordinator if it exists
Use this method to verify if the Coordinator you want to present is not already in use to avoid wasting resources or creating conflicts
Declaration
Swift
public func getCached<C>(_ coordinatorType: C.Type) -> C?
Parameters
coordinatorType
The Coordinator.Type from the Coordinator to be returned.
-
Analog to UIViewController’s
show(_ vc: UIViewController, sender: Any?)
method but for Coordinators.It makes sure that the Coordinator is properly initialized before presenting its rootViewController.
Declaration
Swift
public func show(_ coordinator: Coordinating, sender: Any?)
Parameters
coordinator
The Coordinator with the rootViewController to be presented.
sender
The sender.
-
Analog to UIViewController’s
present(_ viewControllerToPresent: UIViewController, animated flag: Bool, completion: (() -> Void)? = nil)
method but for Coordinators.It makes sure that the Coordinator is properly initialized before presenting its rootViewController
Declaration
Swift
public func present(_ coordinator: Coordinating, animated: Bool, completion: (() -> Void)?)
Parameters
coordinator
The Coordinator with the rootViewController to be presented.
animated
Whether the transition should be animated or not.
completion
The block to execute after the presentation finishes. This block has no return value and takes no parameters. You may specify nil for this parameter.
-
Analog to UIViewController’s
dismiss(animated flag: Bool, completion: (() -> Void)? = nil)
method but for Coordinators.Declaration
Swift
public func dismiss(animated: Bool = true, completion: (() -> Void)? = nil)
Parameters
animated
Whether the transition should be animated or not.
completion
The block to execute after the presentation finishes. This block has no return value and takes no parameters. You may specify nil for this parameter.
-
On a ContainerCoordinator, we can stack other Coordinators and change them with or without animation with this method.
You can override this method and use custom Animations/Transitions.
Declaration
Swift
open func root(_ coordinator: Coordinating, animated: Bool = false, completion: (() -> Void)? = nil)
Parameters
coordinator
The Coordinator with the rootViewController to be presented.
animated
Whether the transition should be animated or not.
completion
The block to execute after the presentation finishes. This block has no return value and takes no parameters. You may specify nil for this parameter.


- To play you'll need 2 players
- One person rolls the dice until he/she either passes the turn or gets a 1
- In the case of passing the turn all the 'turn' points accumulated get added to the Total scores
- In the case of getting a 1 they lose all the 'turn' points accumulated and the other players turn comes immediately
- First player to get 100 or more points wins


Paste your HTML code into the text area below, or open a HTML file to start the minify.
Remove HTML comments. Remove HTML attribute’s quotes.
Remove CDATA comments in <script> and <style> tags. Remove CDATA sections in <script> and <style> tags.
<script>
<style>
MinifyBack Minify on paste


A Big 10 Problem in the Tech Industry
DBC Week 4: Challenge #8
May 21, 2015
The assignment was to identify a problem facing the tech industry, explain why it is a problem and to hypothesize a possible solution. My first thoughts were that I was going to be looking into things like data management, network strains and capabilities, the loss of work force with the retirement of baby boomers, and the fact that technologies are changing so quickly that by the time you implement a new one on Monday it is obsolete before the weekend is upon you. What I did't think I was going to be reading about was customer service.
Maybe it's because I still barely have my feet in the pool of the tech world, but I never thought customer service played such a large role in the industry. Yet after reading about how poor customer service can have such a large effect upon the tech industry I am realizing the importantance of its role. The fact is that the technology world is implementing software and devices to a customer base that sees the advantages of certain products and services but doesn't exactly understand the how they are built or how they work. Sure once someone buys a device or installs some software they can go and read a user manual, but that only gets you so far. What happens when something breaks? What happens you just can't get it to work? What happens when you discover that the tech product or service you paid for is not functioning in the way you asked for it to be?
So here is where customer service comes in to play. Customer service can range from the service rep you call to figure out why your internet connection is not working to the web designers for the firm that has built your new website. The difficulty for the customer in the situation where they have to contact an IT professional, is the ability to express themselves, their needs and wants, using the vocabulary that the tech person needs to identify the problems. It goes both ways in the situation, where the IT professional is limited in their ability to tend to the needs of the customer because of that same difficulty in clearly expressing their ideas, needs and wants. Really it comes down to symantics. The customer and the tech industry need to be able to communicate with a singular language. Unless each side is using the same language to represent their ideas those ideas are not going to be translated from one side to the other and ultimately into the product that's being built.
A bigger problem arrises when the relstionship between the customer and the IT professional becomes strained because of this rift in communication. The customer can not express themselves in a way that the IT rep can easily understand, so the product that they design for the client is not what the customer thought they were going to get or the help that they receive doesn't solve their problem. Unless a suitable solution is found, this communication rift starts a back and forth between the customer and the tech, that more often than not creates frustration on both sides and ultimately ends in the customer walking away from that tech service or product with a bad taste in their mouth.
So the question becomes how to break this rift in communication so that the ideas of the customer can be clearly expressed and the tech products created can properly reflect what the cutomer wants to receive?
To me the answer to the above comes with improving communication by cultivating the relationship between the customer and the IT world. The wrinkle in the plan is that this answer is one that takes time. It has to start with the IT customer service actively listening to what the client has to say and finding a way to empathize with them. The tech has to be able to think from the perspecive of their client in order to see what it is that they want. Then the back and forth can become one of collaboration and education as opposed to one of frustration and misunderstanding. The more that the tech can go back to the customer and help them mold the working product within the capabilities of the technologies IT is using, the more cost effectively the product will be built and the happier the customer will be with that product. The more that the tech works with the customer the more educated the customer becomes and the easier it is to work together to build something that suits the customer as well as possible. This could be accomplished through bringing the customer into your pseudocoding process. The customer would then have the ability to be a part of the design in a non technical but specific way by identifying what they want and what they want to have happen. The customer doesn't need to know how a thing gets done within the code, but they need have a hand in directing what the end product is what it is going to look like. Including the customer in the design process in such an integral will not only teach them some of the language they need to express themselves more clearly to the tech, but also empower them to speak up about problems they see and changes that need to take place from their perspective. The comfort that comes from being a part of the process will ultimately give the customer more of an ability to step in and say, "No, that's now what I want, we need to change it in such and such a way". Along the line, the unseen by-product of this collaboration is customer loyalty. Once that relationship is built and the customer sees that a tech firm is actively working with them and willing to customize a product for them, that firm is the one they are going to go back to again and again.
No matter how fantasitic your product is, how small, how fast, how fashionable, how functional, if the support that comes behind it is less than the customer wants, that customer will seize to be a customer. In the restaurant industry there is an old saying that I learned very early on which I think can be related to any situation of customer service: a customer is more likely to come back to a restaurant with bad food and fantastic service than they are to a restaurant with fantastic food and shitty service. What it means is that the product is only a part of it, the experience is really what people walk away with. The better the experience, the more likely the customer is to return and tell people about your product.
In the end tech products and services are created and designed for people who have at best a limited tech background. The more that the tech industry can identify that fact and relate to their customer base in a way that makes the customer comfortable enough to talk about concepts they are not well schooled in, the better the product they are going to produce. The more that the tech industry is willing to mold their products to the responses of the customer base, the more the customer base is going to want to use those products.


Our ceremony and reception will take place at District Winery located at
385 Water St SE, Washington, DC 20003
We have reserved room blocks at the Hampton Inn & Suites, and the Residence Inn nearby.
1265 First St SE, Washington, DC 20003
Group Name: HILL/SCHUTT WEDDING
Arrival Date: Friday, September 13, 2019
Departure Date: Monday, September 16, 2019
1233 First St SE, Washington, DC 20003
Group Name: Schutt & Hill Wedding
Arrival Date: Friday, September 13, 2019
Departure Date: Monday, September 16, 2019
Last Day to Book: Wednesday, August 14, 2019
Brittany and Sarah met back in 2007. They both rode at Pam Baker’s and were told it was silly to drive out separately and that they must drive to the barn together—and so the friendship began. During college, it was rare to see one without the other as they were basically inseparable in everything they did. Since college they have remained best friends enjoying vacations, weddings, brunches, happy hours, and everything in between together.
Kyle and Andrew met way back in the late '80s. Growing up across the street meant they saw a lot of each other, whether it was on the basketball court, baseball field, golf course, Boy Scout camps, golf camps, and everything in between. Since then, they've remained close friends even when Andrew moved beyond The Wall to Boston.
Brittany and Jess met way back when they were both competing in the pony divisions. Through the years, they have stayed close friends—bonding over their love of horses, the tigerlilly dance, disney movies, and so much more. Jessica’s 1 year old daughter, Liberty, will be the flower girl in the wedding so be sure to look for the little ball of cuteness walking down the aisle.
Kyle and Tom met on the 4th of July. It was a sight to behold across the beautiful abyss of the Potomac River. Fireworks were nothing compared to the friendship that was to come.
Brittany and Rachel met at the barn (where else does one make friends?). They became fast friends from partying it up at bachelorette parties to grinding it out at long horse shows. When these two are together they are sure to bring the party with them, so watch out dance floor!
The date, time, and place of the first meeting between Kyle and Phil is blurry, but probably sometime during the Fall semester of Freshman year. Many late night battles in Call of Duty and other unmentionable games ensued over the years.
Brittany and Taylor met when Taylor started riding at Pam Baker’s in 2013. For the next few years, they spent countless hours together at the farm and horse shows. Brittany has had the privilege of watching Taylor grow into the amazing young woman she is today and is grateful to have such an amazing person be part of her life.
Kyle and Vic first met when they were paired together on a Computer Science assignment. Well aware of the fact that Vic was not very fond of Kyle, Kyle set out to make a good first impression by crushing the assignment together and subsequently naming the project BAMF.
Brittany and Selina met when Selina and her fiancé Andreas moved in next door the summer of 2018. The friendship immediately sparked over the fact that both their significant others continuously left them on the weekends to go play golf together. Since then they have enjoyed many pool parties, dinners, and nights out together.
Kyle and Taylor, Brittany's brother
, met not too long after Kyle and Brittany started dating at a Redskin's game. They once quit a round of golf after 14 holes because neither of them hit a single fairway all day. Also, Kyle learned quickly that he shouldn't let Taylor drive his truck, and that Taylor really doesn't like Nissans.
Brittany and Hannah met through the riding team at the University of Mary Washington. They enjoyed many team horse shows including a trip to California together and have remained close friends ever since.
Kyle and Andreas met when Andreas and Selina moved in next door, and over many shared rides on Metro—the friendship blossomed like the flowers and bushes that grow onto each other's properties. Golf is the favored past time for these two, even if it means breaking a few rules.
Brittany and Katie became instant friends when they realized they were attending the same college at the in-gate of the Lexington Horse Show (Right before Brittany was supposed to walk in the ring). Since then they have stayed close friends exchanging horse knowledge, girl talk, and everything in between.
Kyle and Robert became cousins when Robert was born. Bobert, as Kyle and Brittany affectionately call him, joined Kyle and Phil on the battefields of CoD. The silent type and always the camper with a sniper rifle, he was an invaluable member of the team that irritated the enemy.
Brittany and Danielle met through Jessica and the horse show world back in the day. On top of that Dani is Kyle’s sister
so that was a happy coincidence when Brittany and Kyle started dating. Dani provided lots of fun insight into the mind
of Kyle at the early stages of dating and has remained a close friend.
Kyle and Sean met way back in the early Naughts during high school when he started dating Danielle, Kyle's sister
. Kyle can proudly call him a brother now that Sean and Danielle are married!
Kyle and Stu first met when Kyle was picking up a hungover Stu before a Progamming Competition. The Programming Competition went poorly, but they went on to create a masterpiece of game called Z-Day
.
We are very excited to spend our wedding day with all our friends and family! After being together for five years, we have all the household items that we need and lack the space for anything else.
If you would like to contribute a gift, we have created a registry fund that we will use for our honeymoon and our future family home.


%! from time import strftime as time %>
This page was generated at ${'%H:%M:%S %z %d/%m/%Y' | time}. Please don't edit this page, your changes will be lost in next page publishing.
${diagram['notes']}
| Component name | repository | Description | Wiki |
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| ${comp["title"]} | ${comp["git repository"]} | ${comp["description"]} | wiki |
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|---|---|---|
| ${comp["title"]} | ${service["reference"]} | ${service["description"]} |


Add Doctor
Update Doctor Details
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Doctor Id:
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Open Inventory Student Mobile App
This is the mobile app which controls access of the user to the system.
Installation
First, install flutter. Then clone this repository and run using flutter tool.
git clone https://github.com/openinventorysystem/student-mobile
cd student-mobile
flutter run
Usage
This has to used alongside the open inventory backend. Host the backend project using any method and then your lab users will be able to log in to the server using this app by providing base url.
Contributing
Pull requests are welcome. For major changes, please open an issue first to discuss what you would like to change.
Please make sure to update tests as appropriate.
License
Libraries
- api_client
- Class that handles all API calls (requests and responses)
- cart
- colors
- constants
- controller_api
- Controller which handles API communication
- controller_base_url
- Controller which keeps track of base url
- controller_token
- Controller which keeps track of token
- helpers
- item
- item_image
- lab_item_card
- main
- request_login
- Request which is used to login user
- response_error_message
- Error response from Server
- response_item
- Item information from server
- response_itemattributes
- ItemAttributes information from server
- response_itemlabs
- ItemLabs information from server
- response_itemset
- Lab List information from server
- response_lab_list
- Lab List information from server
- response_labitem
- Labs information from server
- response_labitem_list
- response_labs
- Labs information from server
- response_token
- Token information from server
- response_user
- User information response from Server
- router
- Router base class which handles page routing
- router_routes
- Defines routes used in the app
- view_page_home
- Home page which contains bottom navigation bar
- view_page_lab
- Lab page with item information on the lab. [...]
- view_page_login
- Login page which handles user login
- view_page_splash
- Splash screen which redirects users to home or login depending on their logged in status
- view_section_browse
- Home page section in which users can browse labs.
- view_section_search
- Home page section in which users can search items.
- view_section_settings
- Home page section in which users can change settings and view profile.


"""Functions to compute edges for an RNA secondary structure graph"""
# %%
# Graphein
# Author: Arian Jamasb<EMAIL_ADDRESS>Emmanuele Rossi, Eric Ma
# License: MIT
# Project Website: https://github.com/a-r-j/graphein
# Code Repository: https://github.com/a-r-j/graphein
import logging
import networkx as nx
from .graphs import CANONICAL_BASE_PAIRINGS, WOBBLE_BASE_PAIRINGS
log = logging.getLogger(__name__)
[docs]def check_base_pairing_type(base_1: str, base_2: str) -> str:
"""
Checks type and validity of base pairing interactions.
:param base_1: str RNA Base letter for base 1
:type base_1: str
:param base_2: str RNA base letter for base 2
:type base_2: str
:return: string referencing the type of base pairing:
:rtype: str
"""
try:
if base_2 in CANONICAL_BASE_PAIRINGS[base_1]:
return "canonical"
elif base_2 in WOBBLE_BASE_PAIRINGS[base_1]:
return "wobble"
except:
return "invalid"
[docs]def add_phosphodiester_bonds(G: nx.Graph) -> nx.Graph:
"""
Adds phosphodiester bonds between adjacent nucleotides to an RNA secondary structure graph
:param G: RNA Graph to add edges to
:type G: nx.Graph
:return: RNA graph with phosphodiester_bond edges added
:rtype: nx.Graph
"""
# Iterate over dotbracket to build connectivity
bases = []
for i, c in enumerate(G.graph["dotbracket"]):
# Add adjacent edges (phosphodiester_bonds)
if i > 0:
G.add_edge(i, i - 1, attr="phosphodiester_bond", color="b")
log.debug("Added phosphodiester bonds as edges")
return G
[docs]def add_base_pairing_interactions(G: nx.Graph) -> nx.Graph:
"""
Adds base_pairing interactions between nucleotides to an RNA secondary structure graph
:param G: RNA Graph to add edges to
:type G: nx.Graph
:return: RNA graph with base_pairing edges added
:rtype: nx.Graph
"""
# Check sequence is used
if "sequence" in G.graph.keys():
check_base_pairing = True
else:
check_base_pairing = False
# Iterate over dotbracket to build connectivity
bases = []
for i, c in enumerate(G.graph["dotbracket"]):
# Add base_pairing interactions
if c == "(":
bases.append(i)
elif c == ")":
neighbor = bases.pop()
if check_base_pairing:
pairing_type = check_base_pairing_type(
G.nodes[i]["nucleotide"], G.nodes[neighbor]["nucleotide"]
)
else:
pairing_type = "unknown"
G.add_edge(
i,
neighbor,
attr="base_pairing",
pairing_type=pairing_type,
color="r",
)
elif c in [".", "[", "]", "{", "}", "<", ">"]:
continue
else:
raise ValueError("Input is not in dot-bracket notation!")
log.debug("Added base_pairing interactions as edges")
return G
[docs]def add_pseudoknots(G: nx.Graph) -> nx.Graph:
"""
Adds pseudoknots nucleotides to an RNA secondary structure graph
:param G: RNA Graph to add edges to
:type G: nx.Graph
:return: RNA graph with pseudoknot edges added
:rtype: nx.Graph
"""
# Check sequence is used
if "sequence" in G.graph.keys():
check_base_pairing = True
else:
check_base_pairing = False
# Iterate over dotbracket to build connectivity
knot_bases_1 = [] # for [[[]]] knots
knot_bases_2 = [] # for {{{}}} knots
knot_bases_3 = [] # for <<<>>> knots
for i, c in enumerate(G.graph["dotbracket"]):
if c in ["[", "{", "<"]:
if c == "[":
knot_bases_1.append(i)
elif c == "{":
knot_bases_2.append(i)
elif c == "<":
knot_bases_3.append(i)
elif c in ["]", "}", ">"]:
if c == "]":
neighbor = knot_bases_1.pop()
elif c == "}":
neighbor = knot_bases_2.pop()
elif c == ">":
neighbor = knot_bases_3.pop()
if check_base_pairing:
pairing_type = check_base_pairing_type(
G.nodes[i]["nucleotide"], G.nodes[neighbor]["nucleotide"]
)
else:
pairing_type = "unknown"
G.add_edge(
i,
neighbor,
attr="pseudoknot",
pairing_type=pairing_type,
color="g",
)
elif c in ["(", ")", "."]:
continue
else:
raise ValueError("Input is not in dot-bracket notation!")
log.debug("Added pseudoknot interactions as edges")
return G
[docs]def add_all_dotbracket_edges(G: nx.Graph) -> nx.Graph:
"""
Adds phosphodiester bonds between adjacent nucleotides and base_pairing interactions to an RNA secondary structure graph
:param G: RNA Graph to add edges to
:type G: nx.Graph
:return: RNA graph with phosphodiester_bond and base_pairing edges added
:rtype: nx.Graph
"""
# Iterate over dotbracket to build connectivity
G = add_phosphodiester_bonds(G)
G = add_base_pairing_interactions(G)
G = add_pseudoknots(G)
return G


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Code
| NAME | VALUE |
|---|---|
| OWNER | CONDR |
| OBJECT_NAME | USERS_ID_TRG |
| SUBOBJECT_NAME | null |
| OBJECT_ID | 23339 |
| DATA_OBJECT_ID | null |
| OBJECT_TYPE | TRIGGER |
| CREATED | 03-JUN-17 |
| LAST_DDL_TIME | 03-JUN-17 |
| TIMESTAMP | 2017-06-03:14:55:27 |
| STATUS | VALID |
| TEMPORARY | N |
| GENERATED | N |
| SECONDARY | N |
| NAMESPACE | 3 |
| EDITION_NAME | null |
| PRIVILEGE | GRANTEE | GRANTABLE | GRANTOR | OBJECT_NAME |
|---|
| NAME | OWNER | TYPE | OBJECT_ID | STATUS | TYPE_LINK |
|---|
| NAME | OWNER | TYPE | OBJECT_ID | STATUS | TYPE_LINK |
|---|
trigger users_id_trg before insert on users for each row begin if :new.id is null then select users_id_seq.nextval into :new.id from dual; end if; end;


Figure
6.2.5
.
"Payday Loan Place Window Graphics" by taberandrew is licensed with
CC BY 2.0
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Laiqi Walli, a student at the Aga Khan Academy
Laiqi Walli, a student at the Aga Khan Academy in Mombasa, Kenya, offers an enlightening, youth perspective on the progress and ethics of East African development. Laiqa is an ambitious, vocal and focused student at the Aga Khan Academy Mombasa. She has a passion for the Visual Arts and strongly believes in valuing one’s culture. She thrives in an environment that stimulates her intellectually and thus enjoys discussing real world problems and their solutions. Having grown up in Tanzania, she considers the African influence to be an essential aspect of who she is. But she is concerned about the western takeover that she sees happening all around her under the name of ‘development’. She is concerned for the loss of a culture that is so inherent to who she is and wishes to challenges the concept of development. This talk was given at a TEDx event using the TED conference format but independently organized by a local community. Watch one of her videos here..


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About Me
Hello! Thank you for visiting my page. My name is Andrew and I currently live in Plaistow, NH. I recently graduated with my MBA degree from the University of New Hampshire, where I specialized in Information Systems and Business Analytics. While completing my MBA degree I learned numerous data analtics technologies such as: R/RStudio, Tableau, MySQL, AMPL, MS Excel, and MS Access. Currently, I'm learning Full Stack web development through UNH's Coding Boot Camp. The boot camp is an intensive 24-week course dedicated to learning how to design and build web applications. Upon completion of the course, I will be competent in skills such as: HTML, CSS, JavaScript, jQuery, Bootstrap, Firebase, Node.js, MySQL, Express, API, JSON, AJAX, Git, MongoDB, React.js and Handlebars.
While I'm not studying I enjoy exercising, watching New England sports, or spending time with my friends and family. I love listening to music. I'm an avid '70s -'80s rock-n-roll fan. Some of my favorite bands are AC/DC, Van Halen, Aerosmith, Motley Crue, Def Leppard, and Guns N' Roses. I also enjoy listening to podcasts and I'm currently trying to learn Spanish through Duolingo.


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--- title: Reads CSV files into a batched dataset type: docs repo: https://github.com/rstudio/tfdatasets menu: main: name: Reads CSV files into a batched dataset - tfdatasets parent: tfdatasets-reference aliases: - /reference/tfdatasets/make_csv_dataset.html - /tfdatasets/reference/make_csv_dataset.html - /guide/tfdatasets/reference/make_csv_dataset.html - /tools/tools/tfdatasets/reference/make_csv_dataset.html - /installation/tfdatasets/reference/make_csv_dataset.html - /tutorials/tfdatasets/reference/make_csv_dataset.html - /guide/tools/tfdatasets/reference/make_csv_dataset.html - /deploy/tfdatasets/reference/make_csv_dataset.html - /tools/tfdatasets/reference/make_csv_dataset.html - /tutorials/tools/tfdatasets/reference/make_csv_dataset.html ---
Reads CSV files into a dataset, where each element is a (features, labels) list that corresponds to a batch of CSV rows. The features dictionary maps feature column names to tensors containing the corresponding feature data, and labels is a tensor containing the batch's label data.
make_csv_dataset(
file_pattern,
batch_size,
column_names = NULL,
column_defaults = NULL,
label_name = NULL,
select_columns = NULL,
field_delim = ",",
use_quote_delim = TRUE,
na_value = "",
header = TRUE,
num_epochs = NULL,
shuffle = TRUE,
shuffle_buffer_size = 10000,
shuffle_seed = NULL,
prefetch_buffer_size = 1,
num_parallel_reads = 1,
num_parallel_parser_calls = 2,
sloppy = FALSE,
num_rows_for_inference = 100
)
| file_pattern | List of files or glob patterns of file paths containing CSV records. |
| batch_size | An integer representing the number of records to combine in a single batch. |
| column_names | An optional list of strings that corresponds to the CSV columns, in order. One per column of the input record. If this is not provided, infers the column names from the first row of the records. These names will be the keys of the features dict of each dataset element. |
| column_defaults | A optional list of default values for the CSV fields. One item
per selected column of the input record. Each item in the list is either a valid CSV
dtype (integer, numeric, or string), or a tensor with one of the
aforementioned types. The tensor can either be a scalar default value (if the column
is optional), or an empty tensor (if the column is required). If a dtype is provided
instead of a tensor, the column is also treated as required. If this list is not
provided, tries to infer types based on reading the first |
| label_name | A optional string corresponding to the label column. If provided, the data for this column is returned as a separate tensor from the features dictionary, so that the dataset complies with the format expected by a TF Estiamtors and Keras. |
| select_columns | (Ignored if using TensorFlow version 1.8.) An optional list of
integer indices or string column names, that specifies a subset of columns of CSV data
to select. If column names are provided, these must correspond to names provided in
|
| field_delim | An optional string. Defaults to |
| use_quote_delim | An optional bool. Defaults to |
| na_value | Additional string to recognize as NA/NaN. |
| header | A bool that indicates whether the first rows of provided CSV files correspond to header lines with column names, and should not be included in the data. |
| num_epochs | An integer specifying the number of times this dataset is repeated. If NULL, cycles through the dataset forever. |
| shuffle | A bool that indicates whether the input should be shuffled. |
| shuffle_buffer_size | Buffer size to use for shuffling. A large buffer size ensures better shuffling, but increases memory usage and startup time. |
| shuffle_seed | Randomization seed to use for shuffling. |
| prefetch_buffer_size | An int specifying the number of feature batches to prefetch for performance improvement. Recommended value is the number of batches consumed per training step. |
| num_parallel_reads | Number of threads used to read CSV records from files. If >1, the results will be interleaved. |
| num_parallel_parser_calls | (Ignored if using TensorFlow version 1.11 or later.) Number of parallel invocations of the CSV parsing function on CSV records. |
| sloppy | If |
| num_rows_for_inference | Number of rows of a file to use for type inference if
record_defaults is not provided. If |
A dataset, where each element is a (features, labels) list that corresponds to
a batch of batch_size
CSV rows. The features dictionary maps feature column names
to tensors containing the corresponding column data, and labels is a tensor
containing the column data for the label column specified by label_name
.


Home > Reference > Functions reference > Time functions
Time functions Time functions calculate times and manipulate time information. Click a function name for details. This function Returns Hour A number representing the hour portion (0-23) of a specified time value. Minute A number representing the minute portion (0-59) of a specified time value. Seconds A number representing the seconds portion (0-59) of a specified time value. Time A time result with the specified number of hours, minutes, and seconds. Note You can also use the Timestamp function for time information. SeeTimestamp. Related topics About functions About formulas


lenstronomy.PointSource package¶
Submodules¶
lenstronomy.PointSource.point_source module¶
-
class
lenstronomy.PointSource.point_source.
PointSource
(point_source_type_list, lensModel=None, fixed_magnification_list=None, additional_images_list=None, flux_from_point_source_list=None, magnification_limit=None, save_cache=False, kwargs_lens_eqn_solver=None)[source]¶ Bases:
object
-
check_image_positions
(kwargs_ps, kwargs_lens, tolerance=0.001)[source]¶ checks whether the point sources in kwargs_ps satisfy the lens equation with a tolerance (computed by ray-tracing in the source plane)
Parameters: - kwargs_ps –
- kwargs_lens –
- tolerance –
Returns: bool: True, if requirement on tolerance is fulfilled, False if not.
-
classmethod
check_positive_flux
(kwargs_ps)[source]¶ check whether inferred linear parameters are positive
Parameters: kwargs_ps – Returns: bool
-
image_amplitude
(kwargs_ps, kwargs_lens, k=None)[source]¶ returns the image amplitudes
Parameters: - kwargs_ps –
- kwargs_lens –
Returns: list of image amplitudes per model component
-
image_position
(kwargs_ps, kwargs_lens, k=None, original_position=False)[source]¶ Parameters: - kwargs_ps – point source parameter keyword argument list
- kwargs_lens – lens model keyword argument list
- k – None, int or boolean list; only returns a subset of the model predictions
- original_position – boolean (only applies to ‘LENSED_POSITION’ models), returns the image positions in the model parameters and does not re-compute images (which might be differently ordered) in case of the lens equation solver
Returns: list of: list of image positions per point source model component
-
linear_response_set
(kwargs_ps, kwargs_lens=None, with_amp=False)[source]¶ Parameters: - kwargs_ps – point source keyword argument list
- kwargs_lens – lens model keyword argument list
- with_amp – bool, if True returns the image amplitude derived from kwargs_ps, otherwise the magnification of the lens model
Returns: ra_pos, dec_pos, amp, n
-
point_source_list
(kwargs_ps, kwargs_lens, k=None, with_amp=True)[source]¶ returns the coordinates and amplitudes of all point sources in a single array
Parameters: - kwargs_ps – point source keyword argument list
- kwargs_lens – lens model keyword argument list
- k – None, int or list of int’s to select a subset of the point source models in the return
- with_amp – bool, if False, ignores the amplitude parameters in the return and instead provides ones for each point source image
Returns: a_array, dec_array, amp_array
-
set_amplitudes
(amp_list, kwargs_ps)[source]¶ Parameters: - amp_list – list of model amplitudes for each point source model
- kwargs_ps – list of point source keywords
Returns: overwrites kwargs_ps with new amplitudes
-
set_save_cache
(bool)[source]¶ set the save cache boolean to new value
Parameters: bool – bool Returns: updated class and sub-class instances to either save or not save the point source information in cache
-
source_amplitude
(kwargs_ps, kwargs_lens)[source]¶ returns the source amplitudes
Parameters: - kwargs_ps –
- kwargs_lens –
Returns:
-
source_position
(kwargs_ps, kwargs_lens)[source]¶ Parameters: - kwargs_ps –
- kwargs_lens –
- recompute –
Returns:
-
update_lens_model
(lens_model_class)[source]¶ Parameters: lens_model_class – instance of LensModel class Returns: update instance of lens model class
-
update_linear
(param, i, kwargs_ps, kwargs_lens)[source]¶ Parameters: - param –
- i –
- kwargs_ps –
- kwargs_lens –
Returns:
-
update_search_window
(search_window, x_center, y_center, min_distance=None, only_from_unspecified=False)[source]¶ update the search area for the lens equation solver
Parameters: - search_window – search_window: window size of the image position search with the lens equation solver.
- x_center – center of search window
- y_center – center of search window
- min_distance – minimum search distance
- only_from_unspecified – bool, if True, only sets keywords that previously have not been set
Returns: updated self instances
-
lenstronomy.PointSource.point_source_param module¶
lenstronomy.PointSource.point_source_types module¶
-
class
lenstronomy.PointSource.point_source_types.
Unlensed
[source]¶ Bases:
object
class of a single point source in the image plane, aka star Name within the PointSource module: ‘UNLENSED’ This model can deal with arrays of point sources. parameters: ra_image, dec_image, point_amp
-
image_amplitude
(kwargs_ps, **kwargs)[source]¶ amplitudes as observed on the sky
Parameters: - kwargs_ps – keyword argument of point source model
- kwargs – keyword arguments of function call (which are not used for this object
Returns: numpy array of amplitudes
-
image_position
(kwargs_ps, **kwargs)[source]¶ on-sky position
Parameters: kwargs_ps – keyword argument of point source model Returns: numpy array of x, y image positions
-
source_amplitude
(kwargs_ps, **kwargs)[source]¶ intrinsic source amplitudes
Parameters: - kwargs_ps – keyword argument of point source model
- kwargs – keyword arguments of function call (which are not used for this object
Returns: numpy array of amplitudes
-
-
class
lenstronomy.PointSource.point_source_types.
LensedPositions
(lensModel, fixed_magnification=False, additional_image=False)[source]¶ Bases:
object
class of a a lensed point source parameterized as the (multiple) observed image positions Name within the PointSource module: ‘LENSED_POSITION’ parameters: ra_image, dec_image, point_amp If fixed_magnification=True, than ‘source_amp’ is a parameter instead of ‘point_amp’
-
image_amplitude
(kwargs_ps, kwargs_lens=None, x_pos=None, y_pos=None, magnification_limit=None, kwargs_lens_eqn_solver={})[source]¶ image brightness amplitudes
Parameters: - kwargs_ps – keyword arguments of the point source model
- kwargs_lens – keyword argument list of the lens model(s), only used when requiring the lens equation solver
- x_pos – pre-computed image position (no lens equation solver applied)
- y_pos – pre-computed image position (no lens equation solver applied)
- magnification_limit – float >0 or None, if float is set and additional images are computed, only those images will be computed that exceed the lensing magnification (absolute value) limit
- kwargs_lens_eqn_solver – keyword arguments specifying the numerical settings for the lens equation solver see LensEquationSolver() class for details
Returns: array of image amplitudes
-
image_position
(kwargs_ps, kwargs_lens, magnification_limit=None, kwargs_lens_eqn_solver={})[source]¶ on-sky image positions
Parameters: - kwargs_ps – keyword arguments of the point source model
- kwargs_lens – keyword argument list of the lens model(s), only used when requiring the lens equation solver
- magnification_limit – float >0 or None, if float is set and additional images are computed, only those images will be computed that exceed the lensing magnification (absolute value) limit
- kwargs_lens_eqn_solver – keyword arguments specifying the numerical settings for the lens equation solver see LensEquationSolver() class for details
Returns: image positions in x, y as arrays
-
source_amplitude
(kwargs_ps, kwargs_lens=None)[source]¶ intrinsic brightness amplitude of point source When brightnesses are defined in magnified on-sky positions, the intrinsic brightness is computed as the mean in the magnification corrected image position brightnesses.
Parameters: - kwargs_ps – keyword arguments of the point source model
- kwargs_lens – keyword argument list of the lens model(s), used when brightness are defined in magnified on-sky positions
Returns: brightness amplitude (as numpy array)
-
-
class
lenstronomy.PointSource.point_source_types.
SourcePositions
(lensModel, fixed_magnification=True)[source]¶ Bases:
object
class of a single point source defined in the original source coordinate position that is lensed. The lens equation is solved to compute the image positions for the specified source position.
Name within the PointSource module: ‘SOURCE_POSITION’ parameters: ra_source, dec_source, source_amp If fixed_magnification=True, than ‘source_amp’ is a parameter instead of ‘point_amp’
-
image_amplitude
(kwargs_ps, kwargs_lens=None, x_pos=None, y_pos=None, magnification_limit=None, kwargs_lens_eqn_solver={})[source]¶ image brightness amplitudes
Parameters: - kwargs_ps – keyword arguments of the point source model
- kwargs_lens – keyword argument list of the lens model(s), only ignored when providing image positions directly
- x_pos – pre-computed image position (no lens equation solver applied)
- y_pos – pre-computed image position (no lens equation solver applied)
- magnification_limit – float >0 or None, if float is set and additional images are computed, only those images will be computed that exceed the lensing magnification (absolute value) limit
- kwargs_lens_eqn_solver – keyword arguments specifying the numerical settings for the lens equation solver see LensEquationSolver() class for details
Returns: array of image amplitudes
-
image_position
(kwargs_ps, kwargs_lens, magnification_limit=None, kwargs_lens_eqn_solver={})[source]¶ on-sky image positions
Parameters: - kwargs_ps – keyword arguments of the point source model
- kwargs_lens – keyword argument list of the lens model(s), only used when requiring the lens equation solver
- magnification_limit – float >0 or None, if float is set and additional images are computed, only those images will be computed that exceed the lensing magnification (absolute value) limit
- kwargs_lens_eqn_solver – keyword arguments specifying the numerical settings for the lens equation solver see LensEquationSolver() class for details
Returns: image positions in x, y as arrays
-
source_amplitude
(kwargs_ps, kwargs_lens=None)[source]¶ intrinsic brightness amplitude of point source When brightnesses are defined in magnified on-sky positions, the intrinsic brightness is computed as the mean in the magnification corrected image position brightnesses.
Parameters: - kwargs_ps – keyword arguments of the point source model
- kwargs_lens – keyword argument list of the lens model(s), used when brightness are defined in magnified on-sky positions
Returns: brightness amplitude (as numpy array)
-
-
class
lenstronomy.PointSource.point_source_types.
PointSourceCached
(point_source_model, save_cache=False)[source]¶ Bases:
object
This class is the same as PointSource() except that it sames image and source positions in cache
-
image_amplitude
(kwargs_ps, kwargs_lens=None, magnification_limit=None, kwargs_lens_eqn_solver={})[source]¶ image brightness amplitudes
Parameters: - kwargs_ps – keyword arguments of the point source model
- kwargs_lens – keyword argument list of the lens model(s), only used when requiring the lens equation solver
- magnification_limit – float >0 or None, if float is set and additional images are computed, only those images will be computed that exceed the lensing magnification (absolute value) limit
- kwargs_lens_eqn_solver – keyword arguments specifying the numerical settings for the lens equation solver see LensEquationSolver() class for details
Returns: array of image amplitudes
-
image_position
(kwargs_ps, kwargs_lens=None, magnification_limit=None, kwargs_lens_eqn_solver={})[source]¶ on-sky image positions
Parameters: - kwargs_ps – keyword arguments of the point source model
- kwargs_lens – keyword argument list of the lens model(s), only used when requiring the lens equation solver
- magnification_limit – float >0 or None, if float is set and additional images are computed, only those images will be computed that exceed the lensing magnification (absolute value) limit
- kwargs_lens_eqn_solver – keyword arguments specifying the numerical settings for the lens equation solver see LensEquationSolver() class for details
Returns: image positions in x, y as arrays
-
source_amplitude
(kwargs_ps, kwargs_lens=None)[source]¶ intrinsic brightness amplitude of point source
Parameters: - kwargs_ps – keyword arguments of the point source model
- kwargs_lens – keyword argument list of the lens model(s), only used when positions are defined in image plane and have to be ray-traced back
Returns: brightness amplitude (as numpy array)
-


Predefined internationalized constants for currency, date, time, and numbers.
This package contains interfaces that define internationalized constants used
by the class in {@link com.google.gwt.i18n.client} to format currency, date,
time, and numeric strings.


import Hunt from 'huntjs';
// lazy loading images using dataset and hunt
const lazyImages = document.querySelectorAll('img.lazy');
let observer = new Hunt(lazyImages, {
enter: (image) => image.src = image.dataset.src
});
Minimal library to observe nodes entering and leaving the viewport. Library written by Jeremias Menichelli and contributors.


Images shortcode
Type
Default
Polaroid
Thin border
Thick border
Thin border with space
Thick border with space
Group
No
Yes
Hide title
No
Yes
Radius
None
2px
3px
4px
5px
6px
7px
8px
9px
10px
Hover effect
None
Morph
Tilt
Fade
Lightbox
No
Single image lightbox
Lightbox gallery
Fade to
Fade speed
Title
A Link
Target
Same window
New window
Image
Select image
Lightbox image
Select image
Insert shortcode


Once your package ships we will send an email with a link to track your order. Your order summary is below. Thank you again for your business
)| No. | Product | Price | Quantity | Total |
|---|---|---|---|---|
| 1 | {{ name }} | {{ rate }} | {{ qty }} | {{ total }} |
| Payment | {{ payment }} |
|---|---|
| Billing Address | {{ billing }} |
| Shipping Address | {{ shipping }} |


Welcome to Typical Island Resort©
The Typical Island Resort© is The Gold Standard for cliche tropical islands
- golden beaches
- clear ocean waters
- grass straw huts
- girls* in bikinis
- old guys** serving drinks in Hawaiin print t-shirts
we have it all!
Find out more!
Accomodations | Activities | Pictures, etc. | Travel Arrangements | Contact Information


Andrew Tilisky
sorry, scrabblers & card players
MIN moves after MAX and players alternate turns...
States 0, 1, & 2; 1 is a victory for X
↑ arbitrary
low rank - worse outcome
high rank - better outcome
intemediate rank for X's move = MAX(possible moves)
state 0 - X loses; intermediate state is ranked a loss
State::State (unsigned char dimensions, bool color, unsigned char plies) { Board* board = new Board (dimensions); initialize (board, color, plies); } State::State (Board* preconstructedBoard, bool color, unsigned char plies) { initialize (preconstructedBoard, color, plies); } void State::initialize (Board* board, bool color, unsigned char plies) { this->color = color; this->board = board; whitePoints = NULL, blackPoints = NULL, x = NULL, y = NULL; generateSubsequentStates ( (color + 1) % 2, plies); }
void State::generateSubsequentStates (bool color, unsigned char level) { if (level > 0) { unsigned char dimensions = board->getDimensions(); //generate possible subsequent states (in parallel) #pragma omp parallel for schedule(dynamic) for (short y = 0; y < dimensions; y++) { for (short x = 0; x < dimensions; x++) { if (board->moveIsLegal (color, x, y)) { Board* newBoard = board->clone(); Piece* newPiece = new Piece (color, x, y); newBoard->addPiece (newPiece); State* subsequentState = new State (newBoard, color, level - 1); subsequentState->setMoveXY (x, y); #pragma omp critical subsequentStates.push_back (subsequentState); } } } short heuristic; if(hasAnySubsequentStates()) heuristic = subsequentStates.front().blackPoints; for (boost::ptr_vector<State>::iterator iter = subsequentStates.begin(); iter != subsequentStates.end(); ++iter) { if (color == Piece::WHITE) //MIN { heuristic = MIN (iter->blackPoints, heuristic); } else { heuristic = MAX (iter->blackPoints, heuristic); } } blackPoints = heuristic; } else //farthest ply ahead; compute heuristic { blackPoints = board->computeTerritory (Piece::BLACK); } }
color indicates decision maker
OMP appears to avoid forking new threads in calls higher on the stack for a thread that's already been forked
(conservative in cases of recursion).
In some cases threads have to be forked even if a single-threaded call is to a function in which one assumes they would be.
#pragma omp parallel for for(short subStates = 0; subStates < subsequentStates.size(); subStates++) subStateAt(subStates).generateSubsequentStatesAfterMove(level - 1);versus
for (boost::ptr_vector<State>::iterator iter = subsequentStates.begin(); iter != subsequentStates.end(); ++iter) iter->generateSubsequentStatesAfterMove (level - 1);
| dimensions | 2 plies | 3 plies |
| 4 | 479 | |
| 5 | ||
| 6 | 13451 | |
| 7 | 71398 | |
| 8 | 292156 (4 min) | |
| 9 | 4784 | 731794 (12 min) |
| 11 | 15989 | |
| 12 | 27589 | |
| 13 | 44619 | |
| 19 | 683930 (11 min) |
| dimension | branching factor | 2 plies | 3 plies | 4 plies |
| 5 | 25 | 625 | 15625 | 390625 |
| 6 | 36 | 1296 | 46656 | 1679616 |
| 7 | 49 | 2401 | 117649 | |
| 8 | 64 | 4096 | 262144 | |
| 9 | 81 | 6561 | 531441 | |
| 10 | 100 | 10000 | 1000000 | |
| 11 | 121 | 14641 | ||
| 12 | 144 | 20736 | ||
| 13 | 169 | 28561 | ||
| ··· | ··· | ··· | ||
| 19 | 361 | 130321 |


Forecast: snow
Thursday, August 30
Climate Rainforest
31 C
Forecast: snow
Thursday, August 30
Climate Rainforest
31 C
Forecast: snow
Thursday, August 30
Climate Rainforest
31 C
Forecast: snow
Thursday, August 30
Climate Rainforest
31 C
Forecast: snow
Thursday, August 30
Climate Rainforest
31 C


Link between hearing and cognition begins earlier than once thought
| Source: | Columbia University Irving Medical Center |
| Summary: | A new study finds that cognitive impairment begins in the earliest stages of age-related hearing loss — when hearing is still considered normal. |
Research has shown that adults with age-related hearing loss have higher rates of cognitive decline. Now, a study from researchers at Columbia University Vagelos College of Physicians and Surgeons has found that even the earliest stage of hearing loss — when hearing is still considered normal — is linked to cognitive decline.
The study was published online today in JAMA Otolaryngology-Head and Neck Surgery.
Link Between Hearing Loss and Cognitive Impairment
Age-related hearing loss is one of the most common health disorders of aging, affecting two-thirds of those over age 70. However, few adults are tested for hearing loss, and even fewer are treated. Only 14% of adults with hearing loss in the United States wear hearing aids, the standard treatment.
Because studies show people with age-related hearing loss are more likely to have impaired cognition, it is thought that hearing loss may trigger cognitive decline.
But these studies have only examined people diagnosed with hearing loss, which is defined as the inability to hear sounds under 25 decibels (dB).
"Physicians in this field have used 25 dB — about the loudness of a whisper — to define the border between normal hearing and mild hearing loss in adults, but this level is arbitrary," says Justin S. Golub, MD, MS, assistant professor of otolaryngology-head and neck surgery at Columbia University Vagelos College of Physicians and Surgeons and a hearing specialist at Columbia University Irving Medical Center and NewYork-Presbyterian Hospital. "It has been assumed that cognitive impairment wouldn't begin until people passed this threshold. But no one actually looked at whether this was true."
Any Hearing Loss May Be Cause for Concern
The researchers looked at data from 6,451 adults (average age 59) who were enrolled in two ethnically diverse epidemiologic studies. Participants underwent hearing and cognitive testing as part of the studies.
Golub and his colleagues found that for every 10 dB decrease in hearing, there was a significant decrease in cognitive ability, a pattern seen across the entire spectrum of hearing.
Surprisingly, the largest decrease in cognitive ability occurred in those whose hearing was just starting to become impaired, just 10 dB off the perfect mark.
"Most people with hearing loss believe they can go about their lives just fine without treatment, and maybe some can," says Golub. "But hearing loss is not benign. It has been linked to social isolation, depression, cognitive decline, and dementia. Hearing loss should be treated. This study suggests the earlier, the better."
Can Hearing Aids Prevent Cognitive Loss?
The current study did not address whether hearing loss causes cognitive impairment. It is possible that early declines in both hearing and cognitive performance are related to common aging-related processes, the researchers noted.
"But it's also possible that people who don't hear well tend to socialize less and, as a result, they have fewer stimulating conversations. Over many years, this could have a negative impact on cognition," says Golub. "If that's the case, preventing or treating hearing loss could reduce dementia incidence — by more than 9%, according to a recent analysis published in The Lancet."
A new study, funded by the National Institutes of Health, is now testing the possibility that hearing aids can slow cognitive decline in older people with age-related hearing loss.
More studies are needed before recommending changes in hearing loss categories. "One possibility is to formally introduce a new category, such as borderline hearing loss, ranging from 16 to 25 dB of hearing ability," says Golub.
The study is titled, "Association of Subclinical Hearing Loss With Cognitive Performance." The other contributors include: Adam M. Brickman (Columbia University Irving Medical Center, New York, NY), Adam J. Ciarleglio (George Washington University, Washington, DC), Nicole Schupf (CUIMC), and Jose A. Luchsinger (CUIMC).
The research was supported by grants from the National Institutes of Health (K23AG057832, L30AG060513, and K24AG045334).
make a difference: sponsored opportunity
Story Source:
Materials provided by Columbia University Irving Medical Center.
Note: Content may be edited for style and length.
Journal Reference:
- Justin S. Golub, Adam M. Brickman, Adam J. Ciarleglio, Nicole Schupf, José A. Luchsinger. Association of Subclinical Hearing Loss With Cognitive Performance. JAMA Otolaryngology–Head & Neck Surgery, 2019; DOI: 10.1001/jamaoto.2019.3375
Cite This Page:
| MLA | Columbia University Irving Medical Center. "Link between hearing and cognition begins earlier than once thought." ScienceDaily. ScienceDaily, 14 November 2019. <www.sciencedaily.com/releases/2019/11/191114115922.htm>. |
| APA | Columbia University Irving Medical Center. (2019, November 14). Link between hearing and cognition begins earlier than once thought. ScienceDaily. Retrieved November 18, 2019 from www.sciencedaily.com/releases/2019/11/191114115922.htm |
| Chicago | Columbia University Irving Medical Center. "Link between hearing and cognition begins earlier than once thought." ScienceDaily. www.sciencedaily.com/releases/2019/11/191114115922.htm (accessed November 18, 2019). |


Add the states you've visited.
Not bad! You've already been to:
Did you add the wrong state by accident?
Remove
from the list.
Remove State! Or Clear Them All!


Red Sauce (Ragu all'Italiana)
My great-grandma’s red sauce. All purpose: good for pastas, lasagnas, subs, etc.
- ⏲ Prep time: 12 mins
- 🍳 Cook time: Simmer all day
- 🍽 Servings: 7
Ingredients
- 1/3 lb salt pork
- 2 lb chuck roast
- 3 Cloves of garlic
- Crushed hot red pepper
- Sweet onion
- Large carrot
- 2 Bay leaves
- 2 tbsp. Olive oil (she used mazola oil)
- 12 oz. Can tomato paste
- 29 oz. Diced tomatos
- 29 oz. Tomato puree
Directions
- Mince the garlic, peel the carrot, peel and cut the onion in half.
- Pour the oil in a large pot at medium low heat.
- Chop the salt pork and chuck roast simmer in oil with garlic.
- Simmer until the meat has browned.
- Add the tomato, full carrot, and onion.
- Add bay leaf and red pepper then give it a good stir.
- Lower heat let simmer for a few hours.
- Occasionally stir, and add water if sauce gets too thick.
- Add salt and pepper to taste.
Contribution
Recipe tags:
italian
sauce


Implements the efficient algorithm by Ortmann and Brandes (2017) <doi:10.1007/s41109-017-0027-2> to compute the orbit-aware frequency distribution of induced and non-induced quads, i.e. subgraphs of size four. Given an edge matrix, data frame, or a graph object (e.g., 'igraph'), the orbit-aware counts are computed respective each of the edges and nodes.
| Version: | 1.0 |
| Depends: | R (≥ 3.4) |
| Suggests: | igraph, knitr, rmarkdown |
| Published: | 2017-11-14 |
| Author: | Mark Ortmann [aut, cre], Felix Schoenenberger [aut] |
| Maintainer: | Mark Ortmann <mark.ortmann at uni.kn> |
| License: | GPL-3 |
| NeedsCompilation: | yes |
| SystemRequirements: | C++11 |
| Citation: | oaqc citation info |
| CRAN checks: | oaqc results |
| Reference manual: | oaqc.pdf |
| Vignettes: |
oaqc |
| Package source: | oaqc_1.0.tar.gz |
| Windows binaries: | r-devel: oaqc_1.0.zip, r-release: oaqc_1.0.zip, r-oldrel: oaqc_1.0.zip |
| OS X binaries: | r-release: oaqc_1.0.tgz, r-oldrel: oaqc_1.0.tgz |
Please use the canonical form https://CRAN.R-project.org/package=oaqc to link to this page.


import com.sleepycat.db.*;public class DbException extends Exception; public DbException(String s); public DbException(String s, int errno);
This manual page describes the DbException class and how it is used by the various Db* classes.
Most methods in the Db classes throw an exception when an error occurs. A DbException object contains an informational string and an errno. The errno can be obtained using DbException.get_errno. Since DbException inherits from the java.Exception, the string portion is available using toString().
Some methods may return non-zero values without issuing an exception. This occurs in situations that are not normally considered an error, but when some informational status is returned. For example, Db.get returns DB_NOTFOUND when a requested key does not appear in the database.


This example has a fairly detailed explanation of how the browser is interfaced to the server. I suggest you read this first.
1. We define a region on the page to receive messages. This is a div called clock. We define this as follows:

2. When the page is loaded we connect to the server by calling:
connect_to_erlang("localhost", 1456, "clock1");
3. On the server side an Erlang server is started by evaluating clock1:start(B).
start(Browser) -> Browser ! [{cmd,fill_div}, {id,clock}, {txt,current_time()}], running(Browser).
The server starts by sending a fill_div command to the browser with arguments {id,clock} and {txt,current_time()}. This updates the content of the clock div in the browser.
4. On the server we call running(Browser) this is as follows:
running(Browser) -> receive {Browser, {struct, [{clicked,<<"stop">>}]}} -> Browser ! [{cmd,fill_div}, {id,clock}, {txt,<<"Stopped">>}], idle(Browser) after 1000 -> Browser ! [{cmd,fill_div}, {id,clock}, {txt,current_time()}], running(Browser) end.
When the timeout triggers (after every second) we send a message to update the clock.
Now we might want to start or stop the clock. This needs some jquery trickery.
The stop button is created with:
<button id="b1">stop</button>
We add a small amount of jquery code to the button:
$("#b1").click(function(){ send_json({clicked:'stop'}); });
And when we click the stop button, a JSON message is sent to the Erlang server.
The message to the server can be received with:
receive {Browser, {struct, [{clicked,<<"stop">>}]}} -> ... end


Press 0 to display the Option-Draw dialog box.
Marker style, curve style, and methods can be set.
Arcs Set sequence for drawing arcs
CurvesSet type of curve, Spline or Fitted
Marker Choose a style of marker 1 2 ... 9
Hot buttons for Pen Line Note and constraints are provided for quick selection. See MenuBar Setup


| I l@ve RuBoard |
The rest of this chapter discusses the algorithms in detail. It includes at least one example of each algorithm. To simplify the examples, I use some auxiliary functions so that you can concentrate on the essence of the examples:
// algo/algostuff.hpp #ifndef ALGOSTUFF_HPP #define ALGOSTUFF_HPP #include <iostream> #include <vector> #include <deque> #include <list> #include <set> #include <map> #include <string> #include <algorithm> #include <functional> #include <numeric> /*PRINT_ELEMENTS() *-prints optional C-string optcstr followed by *-all elements of the collection coll *-separated by spaces */ template <c1ass T> inline void PRINT_ELEMENTS (const T& coll, const char* optcstr="") { typename T::const_iterator pos; std::cout << optcstr; for (pos=coll.begin(); pos!=coll.end(); ++pos) { std::cout << *pos << ' '; } std::cout << std::endl; } /*INSERT_ELEMENTS (collection, first, last) *-fill values from first to last into the collection *-NOTE: NO half-open range */ template <c1ass T> inline void INSERT_ELEMENTS (T& coll, int first, int last) { for (int i=first; i<=last; ++i) { coll.insert(coll.end(),i); } } #endif /*ALGOSTUFF_HPP*/
First, algostuff.hpp includes all header files that may be necessary to implement the examples, thus the program doesn't have to do it. Second, it defines two auxiliary functions:
PRINT_ELEMENTS() prints all elements of the container that is passed as the first argument separated by spaces. You can pass a second argument optionally for a string that is used as a prefix in front of the elements (see page 118).
INSERT_ELEMENTS() inserts elements into the container that is passed as the first argument. These elements get the values from the value passed as the second argument up to the value passed as the third argument. Both argument values are included (so this is not a half-open range).
| I l@ve RuBoard |


- main(String[]) - Static method in class balloonsTowerDefence.StartGame
-
- MainMenu - Class in balloonsTowerDefence
-
Starting screen for the game
- MainMenu() - Constructor for class balloonsTowerDefence.MainMenu
-
constructor Creates a main menu object and initializes default textures
- mainMenu - Static variable in class other.StateManager
-
- MakeFrame - Class in balloonsTowerDefence
-
Creates the game frame and initializes graphics
- MakeFrame() - Constructor for class balloonsTowerDefence.MakeFrame
-
Constructor pre: none post: The main game loop updates every thing in it
every frame
- map - Static variable in class other.StateManager
-
- mapMatrix - Variable in class balloonsTowerDefence.FloorGrid
-
- maps - Static variable in class other.LoadSettings
-
- MapSelectScreen - Class in balloonsTowerDefence
-
- MapSelectScreen() - Constructor for class balloonsTowerDefence.MapSelectScreen
-
- mapSelectScreen - Static variable in class other.StateManager
-
- MAX_BALLOON_TYPES - Static variable in class balloonsTowerDefence.Game
-
- Menu(String, int, int, int, int, int, int) - Constructor for class userInterface.UserInterface.Menu
-
- Menu(String, int, int, int, int, Texture) - Constructor for class userInterface.UserInterface.Menu
-
- message(String) - Static method in class handlers.Informal
-
- Money - Static variable in class balloonsTowerDefence.Player
-
- MonkeyTower - Class in balloonsTowerDefence
-
This is the super class to all others that extend it and has the base frame
work for the towers
- MonkeyTower(MonkeyTowerType, Floor, CopyOnWriteArrayList<Balloon>) - Constructor for class balloonsTowerDefence.MonkeyTower
-
constructor creates a tower object with the type startiing floor and target
list specified
- MonkeyTower(MonkeyTowerType, Floor, CopyOnWriteArrayList<Balloon>, int, int) - Constructor for class balloonsTowerDefence.MonkeyTower
-
constructor creates a tower object with the type startiing floor and target
list specified with height and width
- MonkeyTowerDartMonkey - Class in balloonsTowerDefence
-
- MonkeyTowerDartMonkey(Floor, CopyOnWriteArrayList<Balloon>) - Constructor for class balloonsTowerDefence.MonkeyTowerDartMonkey
-
- MonkeyTowerIceMonkey - Class in balloonsTowerDefence
-
- MonkeyTowerIceMonkey(Floor, CopyOnWriteArrayList<Balloon>) - Constructor for class balloonsTowerDefence.MonkeyTowerIceMonkey
-
- MonkeyTowerNinjaMonkey - Class in balloonsTowerDefence
-
- MonkeyTowerNinjaMonkey(Floor, CopyOnWriteArrayList<Balloon>) - Constructor for class balloonsTowerDefence.MonkeyTowerNinjaMonkey
-
- MonkeyTowerSuperMonkey - Class in balloonsTowerDefence
-
- MonkeyTowerSuperMonkey(Floor, CopyOnWriteArrayList<Balloon>) - Constructor for class balloonsTowerDefence.MonkeyTowerSuperMonkey
-
- MonkeyTowerType - Enum in balloonsTowerDefence
-
This class outline the default variables for each monkey tower


Wilbert:
The card that you took out is: . The cards on the table are:
So that's how you play the game. Pretty simple, eh? If you want to join a real game, let me know.
I want to practice some more. (Need 1 Spirit Bead.)
Let's play the game. (Need 50 Spirit Beads.)
Let's play later.


{% extends 'layout.html' %} {% block body %}
This application is made to help for better scheduling in the workplace hierarchy


As seen in attached pic, none of my graphs, dashboard or APP, on emoncms.org or local emoncms on the RasPi, shows kWh data for Sunday the 27th March. Only thing different for that feed on that day was DST clock was set at 1AM. Could this be the cause? How can I fix it?
EDIT: I have now also noticed that all my logged feeds have shifted back 1 day. eg, Data logged for 05 Mar now shows up as 04 Mar.
Thanks in advance.
Re: What happened to Sunday?
Hello Xino, I can see the issue with the kWh graph on myelectric. I will look into that. But Im unable to replicate any issues with dashboards, can you show a screenshot and describe the feeds that your using?
Is it the kwh per day data that your seeing that has shifted back 1 day? which visualisations are you seeing this in?
Re: What happened to Sunday?
Hi Trystan,
The shifted data is indeed from all kWh/d feeds. In the attached screenshots, "Shifted1" shows the selected day 9 Mar in the graph but the data is for 8 Mar.
In "Shifted2" - Selected 27 Mar but data is of 26 Mar.
My Solar kWh/d feed is also messed up and looks like this:
2016-03-20 00:00:00, 4.4
2016-03-21 00:00:00, 5.2
2016-03-22 00:00:00, 4.6
2016-03-23 00:00:00, 5.7
2016-03-24 00:00:00, 6.4
2016-03-25 00:00:00, 9.7
2016-03-26 00:00:00, 8.9
2016-03-27 00:00:00, 4.3
2016-03-28 01:00:00, 2.3
2016-03-27 00:00:00, 4.3
Thanks for helping.
Re: What happened to Sunday?
Hello Xino
I think I've made some progress, I was actually working on a solution to use timezones correctly with phpfina cumulative kWh data for the new mysolar app that will include history so I was half way there. MyElectric on emoncms.org should now display the kWh correctly. Its important that the timezone of your browser matches the timezone set on the user profile page. If there is a mis match the present day wont be shown.
I've created a branch called myelectric_timezone_fix for the app module with the changes that are running on emoncms.org. This branch needs a new data request function in emoncms which I have commited to the emoncms master branch - this data request function is based on requesting daily/monthly/annual values rather than values spaced by a fixed interval. Meaning that the result is timezone correct.
Attached is a screenshot of the last few days here showing the sunday. I will investigate the other graphs next.
Re: What happened to Sunday?
Great! MyElectric is now OK on my emoncms.org. On the dashboard kWh/d feeds for the graphs nothing was created for today (29 Mar).
So to get this fix on my local emoncms I need to update to the master branch and not the stable, correct?
Cheers.
Re: What happened to Sunday?
Hello Xino, it would probably be better to stay on stable until we do a little more testing on this - otherwise you may be creating more work for yourself than needed. The underlying data for feeds created with the power_to_kwh input processor or wh_accumulator is not affected by this bug in the graph so once fixed your data will show up correctly.
Re: What happened to Sunday?
Hi Trystan, I'll stay on stable, thanks.
Also, I now have all DAILY PHPTIMESERIES feeds updating at 1AM since DST change. Is this part of the same bug?
For example: Data viewer CSV output:
2016-03-24 00:00:00, 4013.0
2016-03-25 00:00:00, 3691.0
2016-03-26 00:00:00, 4788.0
2016-03-27 00:00:00, 4545.0
2016-03-28 01:00:00, 5835.0
2016-03-30 01:00:00, 4079.0
Re: What happened to Sunday?
Hello Xino, the daily timeseries bug is different and has been a long running bug with daily data on emoncms.org. All daily feeds created with power_to_kwhd on emoncms.org reset at midnight UTC.
Im working on moving emoncms.org over to cumulative kWh feeds for calculating daily data as the standard approach on emoncms.org, it will be possible very soon to use a new post processing module Im developing in order to calculate cumulative kWh data from existing power data.
Once complete the next step will be to move to disabling the power_to_kWh/d input process and daily datatype on emoncms.org so that there is one approach that can be better supported.
As long as your power data is still recording ok you will be able to calculate and correct all of your kWh data from this very soon.
Re: What happened to Sunday?
I've got an initial fix for timezone support in the emoncms bargraph visualisation. Sunday is back :)
There's a new property in the bargraph options called mode, if you set this to daily when using cumulative kWh data it will use the data request that returns daily data correct for the timezone set on the user profile page. This only works with PHPFina at the moment and is therefore suitable for feeds generated with power_to_kWh and wh_accumulator.
Il do a bit more testing and evaluate whats needed for the other visualisations and then make this available for testing on the emoncms master branch too.
Re: What happened to Sunday?
This is now available in the bargraph selector in the dashboard too and the changes have been committed to the master branch as well as being available on emoncms.org (a full page request may be needed to load the new javascript). I will update soon on merging this into stable and similar support in the other visualisations.
This support is still PHPFina engine specific and has been tested on feeds containing cumulative kWh data rather than daily kWh feeds - which will need an additional similar data request method for the phptimeseries feed engine.
Re: What happened to Sunday?
Fantastic work! Sunday is back on dashboard graphs now. Thank You very much Trystan.
Cheers.


§ 17 Glyphs, Frames, and Scales
17.1 Glyphs and Data
In its original sense, in archeology, a glyph is a carved symbol.
| Heiroglyph | Mayan glyph |
|---|---|
17.2 Data Glyph
17.2.1 A data glyph is also a mark, e.g.
The features of a data glyph encodes the value of variables.
- Some are very simple, e.g. a dot:
- Some combine different elements, e.g. a pointrange:
- Some are complicated, e.g. a dotplot:
17.3 Data Glyph Properties: Aesthetics
Aesthetics are visual properties of a glyph.
- Aesthetics for points: location (x and y), shape, color, size, transparency
## Warning: Using size for a discrete variable is not advised.
- Each glyph has its own set of aesthetics.
17.4 Why “Aesthetic”?
17.5 Some Graphics Components
- glyph
- The basic graphical unit that represents one case. Other terms used include mark and symbol.
- aesthetic
- a visual property of a glyph such as position, size, shape, color, etc.
- may be mapped based on data values:
sex -> color
- may be set to particular non-data related values:
color is black
- scale
- A mapping that translates data values into aesthetics.
- example: male -> blue; female -> pink
- frame
- The position scale describing how data are mapped to x and y
- guide
- An indication for the human viewer of the scale. This allows the viewer to translate aesthetics back into data values.
- Examples: x- and y-axes, various sorts of legends
17.6 Scales
The relationship between the variable value and the value of the aesthetic the variable is mapped to.
- Systolic Blood Pressure (SBP) has units of mmHg (millimeters of mercury)
- Position on the x-axis measured in distance, e.g. inches.
The conversion from SBP to position is a scale.
- Smoker is “never”, “former”, “current”
- Color is red, green, blue, …
The conversion from Smoker to color is a scale.
17.7 Guides
Guide: an indication to a human viewer of what the scale is. Example:
- Axis ticks and numbers
- Legends
| . | . |
|---|---|
- Labels on faceted graphics
17.8 Facets – using x and y twice
- x is determined by
sbp
andsex
- basically a separate frame for each
sex
17.9 Designing Graphics
Graphics are designed by the human expert (you!) in order to reveal information that’s latent in the data.
<IP_ADDRESS> Design choices
- What kind of glyph, e.g. scatter, density, bar, … many others
- What variables constitute the frame. And some details:
- axis limits
- logarithmic axes, etc.
- What variables should be mapped to other aesthetics of the glyph.
- Whether to facet and with what variable.
More details, …, e.g. setting of aesthetics to constants
17.10 Good and Bad Graphics
Remember …
Graphics are designed by the human expert (you!) in order to reveal information that’s latent in the data.
Your choices depend on what information you want to reveal and convey.
Learn by reading graphics and determining which ways of arranging thing are better or worse.
A basic principle is that a graphic is about comparison. Good graphics make it easy for people to perceive things that are similar and things that are different. Good graphics put the things to be compared “side-by-side”, that is, in perceptual proximity to one another.
17.11 Perception and Comparison
In roughly descending order of human ability to compare nearby objects:
- Position
- Length
- Area
- Angle
- Shape (but only a very few different shapes)
- Color
Color is the most difficult, because it is a 3-dimensional quantity.
- color gradients — we’re good at - discrete colors — must be carefully selected.
17.12 Count the ways this graphic is bad
## Warning: Using size for a discrete variable is not advised.
17.13 Glyph-Ready Data
Glyph-ready data has this form:
- There is one row for each glyph to be drawn.
- The variables in that row are mapped to aesthetics of the glyph (including position)
Glyph-ready data
## sbp dbp sex smoker
## 1 129 75 male never
## 2 105 62 female never
## 3 122 72 male never
## 4 128 83 female former
## 5 123 90 male former
## 6 122 77 male current
Mapping of data to aesthetics
sbp -> x
dbp -> y
smoker -> color
sex -> shape
Scales determine details of
data -> aesthetic
translation
17.14 Layers – building up complex plots
Each layer may have its own data, glyphs, aesthetic mapping, etc.
- one layer has points
- another layer has the curves
17.15 Stats: Data Transformations
- What are the glyphs, aesthetics, etc. for this plot?
- How is the data for this plot related to the “raw” data?
## sbp dbp sex smoker
## 1 129 75 male never
## 2 105 62 female never
## 3 122 72 male never
## 4 128 83 female former
17.16 What’s Next
Eye-training
- recognize and describe glyphs, aesthetics, scales, etc.
- identify data required for a plot
Data wrangling
- get data into glyph-ready format (
dplyr
,tidyr
)
- get data into glyph-ready format (
Graphics construction
- start with: map variables to aesthetics interactively with
scatterGraphHelper()
,barGraphHelper()
,densityGraphHelper()
- move on to: describe data, glyphs, aesthetics, etc. to R using
ggplot2
- start with: map variables to aesthetics interactively with


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