Dialog module.
MIT. See LICENSE for full details.
Pops up a dialog box with a user defined message and buttons.
auto dialog = new MessageDialog("Save file?") .setIcon(MessageDialogIcon.question) .setMessage("Do you want to save this file?") .setType(MessageDialogType.okcancel) .show(); string buttonClicked = dialog.getResult();
Construct the dialog.
| Window parent | The parent window of the dialog. |
| string title | The title of the dialog. |
Construct the dialog.
| string title | The title of the dialog. |
Set the default button.
| string button | The default button to use. |
This dialog to aid method chaining.
Set the detail message. The message detail will be presented beneath the main message and, where supported by the OS, in a less emphasized font than the main message.
| string message | The detail message. |
This dialog to aid method chaining.
Set the preset dialog icon. It must be one of the following: error, info, question or warning.
| string icon | The preset dialog icon. |
This dialog to aid method chaining.
Set the main message to display in the message dialog.
| string message | The message. |
This dialog to aid method chaining.
Set the message dialog type. Arranges for a predefined set of buttons to be displayed.
| string type | The type of the message dialog. |
This dialog to aid method chaining.
Show the dialog.
This dialog to aid method chaining.
Symbolic names for message dialog buttons.
The 'abort' button.
The 'cancel' button.
The 'ignore' button.
The 'no' button.
The 'ok' button.
The 'retry' button.
The 'yes' button.
Preset icons used for the message dialog.
An error icon.
An information icon
A question icon.
A warning icon.
Arranges for a predefined set of buttons to be displayed. The following values are possible for predefinedType:
Displays three buttons whose symbolic names are abort, retry and ignore.
Displays one button whose symbolic name is ok.
Displays two buttons whose symbolic names are ok and cancel.
Displays two buttons whose symbolic names are retry and cancel.
Displays two buttons whose symbolic names are yes and no.
Displays three buttons whose symbolic names are yes, no and cancel.


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{% extends "base.html" %} {% block title %}{% endblock %} {% block head %} {{ super() }} {% endblock %} {% block content %}
Welcome to the sensitivity analysis page.
This page displays the projection of the Fisher eigenvectors onto the sensitivity vectors for a given target.
It is found that the resulting projections are proportional to the contribution of each eigenvector to the total
change in the probability of failure due to variations of the parameters of the distribution.
The reliability of the system is given as the probability that the output is less or equal to a given target.
Select the target as the percentage of the maximum magnitude of the output from the Monte Carlo simulations.
Notes:
- Make sure to set a percentage value using the sliders before pressing "Enter". If the bar diagram is not shown then press "Enter" again.
- Do not set the output to 0.0%, otherwise such variable will be eliminated as it would represent failure. (Notice that 100% represents no failure, i.e. full reliability).
In order to recover such output, click "Back to Fisher Information Matrix" and then return to this page.


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NZD/USD Technical Analysis: Sellers observe immediate rising wedge amid bearish MACD
by Anil Panchal- NZD/USD slips below 23.6% Fibonacci retracement.
- The bearish technical formation, MACD conditions keep sellers hopeful.
- Monthly top acts as the nearby key resistance.
The NZD/USD pair’s declines below 23.6% Fibonacci retracement pushes sellers to look for confirmation of the bearish chart pattern as the quote seesaws near 0.6410 during early Thursday.
Not only the support line of nearly seven-day-old rising wedge formation but 38.2% Fibonacci retracement of October-November upside also increases the importance of 0.6380 as the key rest-point.
With the 12-bar Moving Average Convergence and Divergence (MACD) flashing bearish signals, odds are high for the pair’s slip beneath 0.6380, which in turn will open the door for extend south-run towards October 16 low of 0.6240. Though, 61.8% Fibonacci retracement level of 0.6326 can offer an intermediate halt during the declines.
Meanwhile, pair’s run-up beyond 0.6445 will negate the bearish formation and can propel prices to challenge the recent high surrounding 0.6470 ahead of taking aim at 0.6500.
NZD/USD 4-hour chart
Trend: Bearish
NZD/USD
| Overview | |
|---|---|
| Today last price | 0.641 |
| Today Daily Change | -4 pips |
| Today Daily Change % | -0.06% |
| Today daily open | 0.6414 |
| Trends | |
|---|---|
| Daily SMA20 | 0.6381 |
| Daily SMA50 | 0.6345 |
| Daily SMA100 | 0.6433 |
| Daily SMA200 | 0.6564 |
| Levels | |
|---|---|
| Previous Daily High | 0.6437 |
| Previous Daily Low | 0.6403 |
| Previous Weekly High | 0.642 |
| Previous Weekly Low | 0.6324 |
| Previous Monthly High | 0.6437 |
| Previous Monthly Low | 0.6204 |
| Daily Fibonacci 38.2% | 0.6416 |
| Daily Fibonacci 61.8% | 0.6424 |
| Daily Pivot Point S1 | 0.6399 |
| Daily Pivot Point S2 | 0.6384 |
| Daily Pivot Point S3 | 0.6365 |
| Daily Pivot Point R1 | 0.6433 |
| Daily Pivot Point R2 | 0.6452 |
| Daily Pivot Point R3 | 0.6467 |


Hello, and welcome to my personal website.  Within this site, you will find information about my areas of study, some information about myself that you might find interesting, and my work experience. I hope that this website is informative and helpful. In this website you will notice a couple of features for better information access:
I am currently a super senior at Bradley University where I am hoping to graduate with a major in Theatre Performance and a minor in Computer Science. I first came to Bradley with my minor instead being a major in Electrical Engineering. I moved to Central Illinois from Kansas City back in the 4th grade. After I finish and graduate Bradley here in the Spring of 2022, I plan to move to Chicago and start networking as an actor, while using my CS minor to pick up work every now and then.
I have been acting for almost as long as I can remember. All the way back in grade-school I can remember going onto the stage and falling in love with the theatre. I carried this passion for acting all the way through middle and high-school, up to college where I decided to make Performing Arts my major. I have performed for my high-school theatre, Bradley University, and my community theatre company: ArcLight Productions.
Below is a small selection of photos of me from different shows from both ArcLight and Bradley University. These are also some of my favorites!!
Why did I choose theatre? To say that it makes me happy would be an understatement. You talked in class about how this is a passion of yours. Well, I suppose the best way to answer the question would be to say that acting is my true passion and without it, I really can’t say that I would be the person that I am today. If you look at all the pictures above, you can see that I have been in a variety of shows. It is this “flexibility of reality” that I have truly fallen in love with. To me, the ability to become different characters and convey a story through their actions and choices is one of the most satisfying and rewarding things about the Theatre. Theatre allows people to tell stories and send messages in ways that are almost impossible for other forms of art.
 From when I was younger and would play games with my dad to more recently where I find myself more and more interested with the idea of coding and web-design. Throughout my years here at Bradley, I have picked up multiple different coding languages. The languages that I am most confident in are:
I also have some basic experience with the following languages:
Upon graduation in the coming semester, my plan for integrating CS into my life is this: Once I move to Chicago I plan to search for possible CS jobs around the Chicago area whch will allow me to work from home. With this stipulation, I will be able to easily fit any show process into my work schedule. I also have hopes to implement and incorporate more Computer Scientists into the world of theatre both behind the scenes and on the stage.
In this section you will find a link which will redirect you to a PDF copy of my resumé. To give a quick overview of my past work experience: I have worked as a caterer, detasseler, and event-plex staff. To just name a few.
Along with my love for acting and coomputers, I also have many other things that I really enjoy doing with my free time. I absolutley love all types of animals, and I have my own pets as well. I have a cat named Mylo and a 20 year-old leopard gecko named Echo. Along with loving my pets I am also a pretty active gamer. Some of my favorite games include:
I listen to a very wide range of music from Instrumental to Hard Rock and Metal. I would have to say that my top five favorite bands would have to be:


File
This component will be available in NG package in the future
Default
Disabled
Droppable
Uploading
Success
Error
Default and S modifier
Disabled and S modifier
Droppable and S modifier
Uploading and S modifier
Success and S modifier
Error and S modifier
Tip: You can add a multiple
attribute to your input
to allow
multiple files to be selected.


Silky smooth quality-of-experience is not just a feature. It is a must.
Battery density growth falls behind the silicon. Budget the energy wisely.
Fulfill the potential of emerging markets via smart content delivery.
Web technologies through decades of evolution have fundamentally shaped how we think, communicate, and innovate. Now the Web is on the cusp of a new evolution, an evolution that promises automatic recognition, mining, and synthesis of user-originated “big data.” The driving force behind this revolution is today’s most pervasive personal computer–mobile devices, be it a smartphone, a wearable device, or an IoT widget.
The constrained nature of mobile devices pose three major challenges that stand in the way of next-generation mobile Web: Responsiveness, Energy-efficiency, and Data-efficiency (RED). Our mission is to design and build systems that address the RED challenges and thereby to enable next-generation mobile Web computing.
Hardware-software co-design to embrace the increasingly heavy Web computations.
Empowering developers and integrating them into the optimization loop.
Improving mobile Internet performance, energy, availability, and reliability.
Platform and infrastructure support for conducting real-world measurements.
Building a better future Web is a mission upon all of us. Let's not forget that one thing we all love about the Web is that it is open. It is not owned by anyone; or rather it is owned by all of us. We as a community together can fulfill the potential of next-generation mobile Web.
If you are excited about addressing the RED challenges in pursuit of making the future Web a better ecosystem and have a related project that you'd like to showcase, please contact us.


{% extends 'neighbour/base.html'%} {% block title%}HOME{% endblock%} {% block content%} Mtaa yetu shughuli zetu... Where it all begins... See recent updates {% endblock%}


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GatewayCallbacks class
Constructors
Properties
- apiSecret ↔ String
-
read / write
- bundlePolicy ↔ dynamic
-
read / write
- destroyed ↔ Function
-
read / write
- destroyOnUnload ↔ bool
-
read / write
- error ↔ Function
-
read / write
- hashCode → int
-
The hash code for this object. [...]
read-only, inherited
- iceServers ↔ List
-
read / write
- iceTransportPolicy ↔ dynamic
-
read / write
- ipv6Support ↔ bool
-
read / write
- keepAlivePeriod ↔ int
-
read / write
- longPollTimeout ↔ int
-
read / write
- maxPollEvents ↔ int
-
read / write
- runtimeType → Type
-
A representation of the runtime type of the object.
read-only, inherited
- server ↔ dynamic
-
read / write
- success ↔ Function
-
read / write
- token ↔ String
-
read / write
- withCredentials ↔ bool
-
read / write
Methods
-
noSuchMethod(
Invocation invocation) → dynamic -
Invoked when a non-existent method or property is accessed. [...]
inherited
-
toString(
) → String -
Returns a string representation of this object.
inherited
Operators
-
operator ==(
Object other) → bool -
The equality operator. [...]
inherited


If you are looking to join Evolution, you should start by reading through the primer. If you are still looking to join after that, come hang out with us on irc.stratics.com, #eve-evo.
Join #eve-evo


R package providing “one-stop shopping” (or should that be “one-shop stopping”?) for stopword lists in R, for multiple languages and sources. No longer should text analysis or NLP packages bake in their own stopword lists or functions, since this package can accommodate them all, and is easily extended.
Created by David Muhr, and extended in cooperation with Kenneth Benoit and Kohei Watanabe.
# from CRAN install.packages("stopwords") # Or get the development version from GitHub: # install.packages("devtools") devtools::install_github("quanteda/stopwords")
head(stopwords::stopwords("de", source = "snowball"), 20) ## [1] "aber" "alle" "allem" "allen" "aller" "alles" "als" ## [8] "also" "am" "an" "ander" "andere" "anderem" "anderen" ## [15] "anderer" "anderes" "anderm" "andern" "anderr" "anders" head(stopwords::stopwords("de", source = "stopwords-iso"), 20) ## [1] "a" "ab" "aber" "ach" "acht" ## [6] "achte" "achten" "achter" "achtes" "ag" ## [11] "alle" "allein" "allem" "allen" "aller" ## [16] "allerdings" "alles" "allgemeinen" "als" "also"
For compatibility with the former quanteda::stopwords()
:
head(stopwords::stopwords("german"), 20) ## [1] "aber" "alle" "allem" "allen" "aller" "alles" "als" ## [8] "also" "am" "an" "ander" "andere" "anderem" "anderen" ## [15] "anderer" "anderes" "anderm" "andern" "anderr" "anders"
Explore sources and languages:
# list all sources stopwords::stopwords_getsources() ## [1] "snowball" "stopwords-iso" "misc" "smart" ## [5] "marimo" "ancient" "nltk" # list languages for a specific source stopwords::stopwords_getlanguages("snowball") ## [1] "da" "de" "en" "es" "fi" "fr" "hu" "ir" "it" "nl" "no" "pt" "ro" "ru" "sv"
The following coverage of languages is currently available, by source. Note that the inclusiveness of the stopword lists will vary by source, and the number of languages covered by a stopword list does not necessarily mean that the source is better than one with more limited coverage. (There may be many reasons to prefer the default “snowball” source over the “stopwords-iso” source, for instance.)
The following languages are currently available:
| Language | ISO-639-1 Code | snowball |
NLTK |
stopwords-iso |
Other |
|---|---|---|---|---|---|
| Afrikaans | af | ✔ | |||
| Arabic | ar | ✔ | ✔ |
misc , marimo
|
|
| Armenian | hy | ✔ | |||
| Azerbaijani | az | ✔ | |||
| Basque | eu | ✔ | |||
| Bengali | bn | ✔ | |||
| Breton | br | ✔ | |||
| Bulgarian | bg | ✔ | |||
| Catalan | ca | ✔ | misc |
||
| Chinese | zh | ✔ |
misc , marimo
|
||
| Croatian | hr | ✔ | |||
| Czech | cs | ✔ | |||
| Danish | da | ✔ | ✔ | ✔ | |
| Dutch | nl | ✔ | ✔ | ✔ | |
| English | en | ✔ | ✔ | ✔ |
smart , marimo
|
| Esperanto | eo | ✔ | |||
| Estonian | et | ✔ | |||
| Finnish | fi | ✔ | ✔ | ✔ | |
| French | fr | ✔ | ✔ | ✔ | |
| Galician | gl | ✔ | |||
| German | de | ✔ | ✔ | ✔ | marimo |
| Greek | el | ✔ | misc |
||
| Greek (ancient) | grc | ancient |
|||
| Gujarati | gu | misc |
|||
| Hausa | ha | ✔ | |||
| Hebrew | he | ✔ | marimo |
||
| Hindi | hi | ✔ | |||
| Hungarian | hu | ✔ | ✔ | ✔ | |
| Indonesian | id | ✔ | ✔ | ||
| Irish | ga | ✔ | |||
| Italian | it | ✔ | ✔ | ✔ | |
| Japanese | ja | ✔ | marimo |
||
| Kazakh | kk | ✔ | |||
| Korean | ko | ✔ | |||
| Kurdish | ku | ✔ | |||
| Latin | la | ✔ | ancient |
||
| Lithuanian | lt | ✔ | |||
| Latvian | lv | ✔ | |||
| Malay | ms | ✔ | |||
| Marathi | mr | ✔ | |||
| Nepali | mr | ✔ | |||
| Norwegian | no | ✔ | ✔ | ✔ | |
| Persian | fa | ✔ | |||
| Polish | pl | ✔ | |||
| Portuguese | pt | ✔ | ✔ | ✔ | |
| Romanian | ro | ✔ | ✔ | ✔ | |
| Russian | ru | ✔ | ✔ | ✔ | |
| Slovak | sk | ✔ | |||
| Slovenian | sl | ✔ | ✔ | ||
| Somali | so | ✔ | |||
| Southern Sotho | st | ✔ | |||
| Spanish | es | ✔ | ✔ | ✔ | |
| Swahili | sw | ✔ | |||
| Swedish | sv | ✔ | ✔ | ✔ | |
| Thai | th | ✔ | |||
| Tagalog | tl | ✔ | |||
| Tajik | tg | ✔ | |||
| Turkish | tr | ✔ | ✔ | ||
| Ukrainian | uk | ✔ | |||
| Urdu | ur | ✔ | |||
| Vietnamese | vi | ✔ | |||
| Yoruba | yo | ✔ | |||
| Zulu | zu | ✔ |
head(stopwords::stopwords("de", source = "snowball"), 20) ## [1] "aber" "alle" "allem" "allen" "aller" "alles" "als" ## [8] "also" "am" "an" "ander" "andere" "anderem" "anderen" ## [15] "anderer" "anderes" "anderm" "andern" "anderr" "anders" head(stopwords::stopwords("de", source = "stopwords-iso"), 20) ## [1] "a" "ab" "aber" "ach" "acht" ## [6] "achte" "achten" "achter" "achtes" "ag" ## [11] "alle" "allein" "allem" "allen" "aller" ## [16] "allerdings" "alles" "allgemeinen" "als" "also"
For compatibility with the former quanteda::stopwords()
:
head(stopwords::stopwords("german"), 20) ## [1] "aber" "alle" "allem" "allen" "aller" "alles" "als" ## [8] "also" "am" "an" "ander" "andere" "anderem" "anderen" ## [15] "anderer" "anderes" "anderm" "andern" "anderr" "anders"
Explore sources and languages:
# list all sources stopwords::stopwords_getsources() ## [1] "snowball" "stopwords-iso" "misc" "smart" ## [5] "marimo" "ancient" "nltk" # list languages for a specific source stopwords::stopwords_getlanguages("snowball") ## [1] "da" "de" "en" "es" "fi" "fr" "hu" "ir" "it" "nl" "no" "pt" "ro" "ru" "sv"
It is now possible to edit your own stopword lists, using the interactive editor, with functions from the quanteda package (>= v2.02). For instance to edit the English stopword list for the Snowball source:
# edit the English stopwords my_stopwords <- quanteda::char_edit(stopwords("en", source = "snowball"))
To edit stopwords whose underlying structure is a list, such as the “marimo” source, we can use the list_edit()
function:
# edit the English stopwords my_stopwordlist <- quanteda::list_edit(stopwords("en", source = "marimo", simplify = FALSE))
Finally, it’s possible to remove stopwords using pattern matching. The default is the easy-to-use “glob” style matching, which is equivalent to fixed matching when no wildcard characters are used. So to remove personal pronouns from the English Snowball word list, for instance, this would work:
library("quanteda", warn.conflicts = FALSE) ## Package version: 2.0.2 ## Parallel computing: 2 of 8 threads used. ## See https://quanteda.io for tutorials and examples. posspronouns <- stopwords::data_stopwords_marimo$en$pronoun$possessive posspronouns ## [1] "my" "our" "your" "his" "her" "its" "their" stopwords("en", source = "snowball") %>% head(n = 10) ## [1] "i" "me" "my" "myself" "we" "our" ## [7] "ours" "ourselves" "you" "your"
See the difference when we remove them – “my”, “ours”, and “your” are gone:
stopwords("en", source = "snowball") %>% head(n = 10) %>% char_remove(pattern = posspronouns) ## [1] "i" "me" "myself" "we" "ours" "ourselves" ## [7] "you"
There is no char_add()
, since it’s just as easy to use c()
for this, but there is a char_keep()
for positive selection rather than removal.
As of version 1.1, we’ve made it a one-step process to add stopwords()
to your package through a re-export. Simply call use_stopwords()
like this:
> stopwords::use_stopwords() ✔ Setting active project to '/Users/me/GitHub/mypackage' ✔ Adding 'stopwords' to Imports field in DESCRIPTION ✔ Writing 'R/use-stopwords.R' ● Run `devtools::document()` to update 'NAMESPACE' > devtools::document() Updating mypackage documentation Updating collate directive in /Users/me/GitHub/mypackage/DESCRIPTION Writing NAMESPACE Loading mypackage Writing NAMESPACE Writing stopwords.Rd
Additional sources can be defined and contributed by adding new data objects, as follows:
Data object. Create a named list of characters, in UTF-8 format, consisting of the stopwords for each language. The ISO-639-1 language code will form the name of the list element, and the values of each element will be the character vector of stopwords for literal matches. The data object should follow the package naming convention, and be called data_stopwords_newsource
, where newsource
is replaced by the name of the new source.
Documentation. The new source should be clearly documented, especially the source from which was taken.


Thank you! Donations go to funding our platform, our content creators, and allies for social and mental health reform.
We know millions of people deal with mental health issues on a daily basis. We know how mental health stigma can limit opportunities for these people. We know there are people who care. Our mission is to instill the same kind of empathy in our readers to help create a world where mental health is accepted and its issues are taken seriously.


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Chilling Adventures Of Sabrina Part 3 Returns The Fourth Week In January
by Tara WalshChilling Adventures of Sabrina part 3
Netflix's Chilling Adventures of Sabrina returns for its third season on January 24th.
They announced the news on the show's official Twitter account over the weekend.
'knock knock knock on the gates of hell.'
In case you've forgotten, season two saw Sabrina trap Lucifer in Nick's body - sending him back to hell.
According to Entertainment Weekly, the new season will see Sabrina attempt to save Nick.
Now that the Dark Lord has been unseated, there's nobody sitting on hell's throne.
People are beginning to fight for the position and Sabrina becomes one of them.
She must assume the title of Queen against the Prince of Hell Caliban.
While that's happening in hell, the people of Greendale are facing their own demons.
'A mysterious carnival rolls into town, bringing with it a threat to the Spellmans and the coven: A tribe of pagans looking to resurrect an ancient evil…'
Just 46 days to go!


What is going on?
Exploring solutions for chronic disease, from patients for patients.
July 07, 2017 - No, Coconut Oil is not bad for you.
Recently, mainstream media outlets have been bombing the internet quite a lot with many articles blaming Coconut Oil for many of your health problems.
With devastating headlines such as “Coconut oil isn’t healthy. It’s never been healthy”, it’s quite clear that what we are seeing here is industry funded premium articles
promoting the already debunked[1] idea that Saturated Fats are harmful for the health, shifting the focus from added sugars.
[Virgin] Coconut Oil has been shown to have antimicrobial activity[2], to be a great antioxidant[3], and even there is anecdotal evidence that it has been useful both topically and ingested for horrible diseases such as ALS[4][5][6]
A great take on the issue, by the wery well respected Neurologist Dr. Perlmutter can be found in here: Is Coconut Oil still healthy?, the trust behind the recent headlines
[1]: https://www.ucsf.edu/news/2016/09/404081/sugar-papers-reveal-industry-role-shifting-national-heart-disease-focus
[2]: https://www.ncbi.nlm.nih.gov/pubmed/24328700
[3]: https://www.ncbi.nlm.nih.gov/pubmed/28412883
[4]: http://www.drperlmutter.com/use-ketogenic-diet-treating-als/
[5]: https://www.researchgate.net/publication/271909520_ALS_untangled_15_Coconut_oil
[6]: http://coconutketones.blogspot.com/2012/05/als-patient-two-year-update-on-coconut.html
The best natural treatment for Lyme disease
Lyme Disease affects millions every day, it’s a poorly understood debilitating illness caused by a bacterium called Borrelia Burgdorferi sensu lato. It can mimic or cause all sorts of more commonly known syndromes, such as Multiple Sclerosis[1], ALS[2][3], Rheumatoid Arthritis[1], or Alzheimer[5]. It’s a very complex illness, and if it wasn’t enough, it usually presents itself with a host of other infectious agents, such as Bartonella sp, Babesia sp, Mycoplasma sp, Chlamydia and others, making the clinical picture in most cases very insidious, unspecific and thus difficult to diagnose...


The
PLATE corresponds to the registration of your vehicle, the FINE is the
equivalent of the offense to be paid to the police,
DEPOT is the cost of storage
inside the warehouse (it is charged from the moment the vehicle was immobilized) and
PARKING is the pending cost if the vehicle was in a parking lot (the price is
charged only until before the moment the vehicle was immobilized)
The total cost does not include the parking fee while you review this menu


Classes
The following classes are available globally.
-
Information about the current auth state with the PayPal API.
See moreDeclaration
Swift
public final class AuthInfo: Service
-
An interface for the PayPal REST API.
See moreDeclaration
Swift
public final class PayPalClient: ServiceType
-
Use the Activities API to list the financial activities for a user. Activities are records for all payments, currency transfers, money conversions, requests for payments, and promises of payments. To filter or limit the size of the list, you can specify one or more query parameters. For more information, see the Activities Integration Guide.
See moreDeclaration
Swift
public final class Activities: PayPalController
-
Use billing plans and billing agreements to create an agreement for a recurring PayPal or debit card payment for goods or services. To create an agreement, you reference an active billing plan from which the agreement inherits information. You also supply customer and payment information and, optionally, can override the referenced plan’s merchant preferences and shipping fee and tax information. For more information, see Billing Plans and Agreements.
Warning
The use of the PayPal REST
/payments
APIs to accept credit card payments is restricted. Instead, you can accept credit card payments with Braintree Direct.See moreNote
The Billing Agreements API does not support the
payee
object.Declaration
Swift
public final class BillingAgreements: PayPalController
-
You use billing plans and billing agreements to create an agreement for a recurring PayPal or debit card payment for goods or services.
A billing plan includes payment definitions and other details. A plan must include at least one regular payment definition and, optionally, a trial payment definition. Each definition determines how often and for how long a customer is charged.
A plan can specify a type, which indicates whether the payment definitions in the plan have a fixed or infinite number of payment cycles. The plan also defines merchant preferences including how much it costs to set up the agreement, the links where a customer can approve or can cancel the agreement, and the action if the customer’s initial payment fails.
By default, a plan is not active when you create it. To activate it, you update its
state
to ACTIVE.For more information, see Billing Plans and Agreements.
See moreWarning
The use of the PayPal REST/payments
APIs to accept credit card payments is restricted. Instead, you can accept credit card payments with Braintree Direct.Declaration
Swift
public final class BillingPlans: PayPalController
-
Occasionally, something goes wrong with a customer’s order. To dispute a charge, a customer can create a dispute with PayPal. PayPal merchants, partners, and external developers can use the PayPal Customer Disputes API to manage customer disputes.
Note
Merchants cannot create disputes but can only respond to customer-created disputes.A customer can also ask his or her bank or credit card company to dispute and reverse a charge, which is known as a chargeback. For more information, see Disputes, claims, chargebacks, and bank reversals.
When a customer disputes a charge, you can use this API to provide evidence that the charge is legitimate. To provide evidence or appeal a dispute, you submit a proof of delivery or proof of refund document or notes, which can include logs.
Normally, an agent at PayPal updates the status of disputes and settles them, but now you can run test cases in the sandbox that complete these operations.
For details, see Customer Disputes Integration Guide and the Marketplace Disputes Integration Guide.
Use the
See more/customer/disputes/
resource to list disputes, show dispute details, send a message to the other party, make an offer to resolve a dispute, escalate a dispute to a claim, provide evidence, accept a claim, and appeal a dispute. Normally, an agent at PayPal updates the status of disputes and settles them, but now you can run test cases in the sandbox that update the dispute status and settle disputes.Declaration
Swift
public final class CustomerDisputes: PayPalController
-
Log In with PayPal (formerly PayPal Access) is a commerce identity solution that enables your customers to sign in to your web site quickly and securely using their PayPal login credentials. Log In with PayPal utilizes the latest security standards, and you don’t have to worry about storing user data on your system.
For more information, learn about Log In with PayPal.
See moreDeclaration
Swift
public final class Identity: PayPalController
-
Use the
See more/invoices
resource to create, update, and send invoices and invoice reminders. To manage invoices, you can also list invoices, show details for invoices, delete draft invoices, and cancel sent invoices. You can also mark invoices as fully or partially paid, or as refunded. Lastly, you can create QR codes for invoices that can be scanned, viewed, and paid by a mobile phone.Declaration
Swift
public class Invoices: PayPalController
-
The Managed Accounts API enables a marketplace to add PayPal merchant accounts.
Warning
PayPal for Marketplaces is a limited-release solution at this time. It is available to select partners for approved use cases. For more information, reach out to your PayPal account manager or contact us.Supports the Connected path and Managed path marketplace models:
- With Connected path, you host a button on your website that takes sellers to PayPal to create and configure a PayPal account. The Onboarding API enables you to collect seller data and pass it to the account creation and setup forms, reducing the burden on sellers during the signup and setup process.
- With Managed Path, you create and configure reference accounts that enable you to make payments to sellers on your platform. The Managed Accounts API enables you to create reference accounts without involving your sellers.
You can call the create merchant account, repopulate merchant account, and update merchant account API methods for the Managed path.
See moreDeclaration
Swift
public final class ManagedAccounts: PayPalController
-
Use the Orders API to create, show details for, authorize, and capture payment for orders.
See moreNote
PayPal for Marketplaces is a limited-release solution aimed at marketplaces, crowd funding, and multi-party commerce platforms. To use Orders API for Marketplaces, see Make an Orders API call.Declaration
Swift
public final class Orders: PayPalController
-
Use the Payments REST API to easily and securely accept online and mobile payments. The payments name space contains resource collections for payments, sales, refunds, authorizations, captures, and orders.
Important
The use of the PayPal REST /payments APIs to accept credit card payments is restricted. Instead, you can accept credit card payments with Braintree Direct.You can enable customers to make PayPal and credit card payments with only a few clicks, depending on the country. You can accept an immediate payment or authorize a payment and capture it later. You can show details for completed payments, refunds, and authorizations. You can make full or partial refunds. You also can void or re-authorize authorizations. For more information, see the Payments overview.
Payment
Use the
/payment
resource to create a sale, an authorized payment, or an order. A sale is a direct credit card payment, stored credit card payment, or PayPal payment. An authorized payment places funds on hold to be captured later. An order is a purchase that a customer has approved but for which the funds are not placed on hold. You can also use this resource to execute approved PayPal payments and show details for, update, and list payments. For more information, see also Payments.Sale
A sale is a completed payment. Use the
/sale
resource to show sale details and refund a sale. For more information, see also Refund payments.Authorization
Use the
/authorization
resource and related sub-resources to show details for, capture, void, and reauthorize an authorization.Orders
Use the
/orders
resource to authorize, capture, void, and show details for an order.Note
You cannot refund an order directly. Instead, you must refund a completed payment for an order. For integration information, see Orders and refund a payment.Capture
Use the
/capture
resource and sub-resources to show details for and refund captured payments.Refund
Use the
See more/refund
resource to show details for a refund on direct and captured payments.Declaration
Swift
public final class Payments: PayPalController
-
Use the
/templates
resource to create, list, show details for, update, and delete invoice templates. The template API is useful when creating a third-party invoicing application. For instance, a business can create a template with predefined invoice data. Later, the business can select the template to populate the invoice data.See moreNote
To upload a logo to display on an invoice, you can use the Template Settings dashboard to create a template. Then, use the URI of that logo when you create an invoice.Declaration
Swift
public final class Templates: PayPalController
-
Configures services required for PayPal API interaction
This provider needs 2 environment variables:
PAYPAL_CLIENT_ID
: Your PayPal dev client ID.PAYPAL_CLIENT_SECRET
: Your PayPal client secret.
Declaration
Swift
public final class PayPalProvider: Vapor.Provider
-
Global configuration data required to use the PayPal API.
See moreDeclaration
Swift
public final class Configuration: Service


IEEE NVMSA 2020 Technical Program
Instructions for Presenters
August 19
Session 1: Solid-State Drive (13:30-14:30)
Session Chair: Junghee Lee (Korea University)
- NS-FTL: Alleviating the Uneven Bit-Level Wearing of NVRAM-based FTL via NAND-SPIN (Flash Translation Layer, Wear-Leveling)
Wei-Chun Cheng, Shuo-Han Chen, Yuan-Hao Chang (Academia Sinica), Kuan-Hsun Chen, Jian-Jia Chen (TU Dortmund), Tseng-Yi Chen (National Central University), Ming-Chang Yang (The Chinese University of Hong Kong), Wei-Kuan Shih (National Tsing-Hua University)
- High-Performance Solid State Drive with Parallel Read Scheme
Amit Berman (Samsung Electronics)
Session 2: Invited Session I (15:00-16:30)
Session Chair: Guangyu Sun (Peking University)
- Pink: High-speed In-storage Key-value Store with Bounded Tails
Jinsu Im, Jinwook Bae (DGIST), Chanwoo Chung, Arvind (MIT), Sungjin Lee (DGIST)
ATC 2020
- AniFilter: Parallel and Failure-Atomic Cuckoo Filter for Non-Volatile Memories
Hyungjun Oh, Bongki Cho, Changdae Kim, Heejin Park, and Jiwon Seo (Hanyang University)
Eurosys 2020
- Lock-free Concurrent Level Hashing for Persistent Memory
Zhangyu Chen, Yu Hua, Bo Ding, Pengfei Zuo (Huazhong University of Science and Technology)
ATC 2020
August 20
Session 3: Emerging Technology (08:30-10:00)
Session Chair: Yiran Chen (Duke University)
- FairHym: Improving Inter-Process Fairness on Hybrid Memory Systems
Satoshi Imamura, Eiji Yoshida (Fujitsu Laboratories)
- A Kernel Unfolding Approach to Trade Data Movement with Computation Power for CNN Acceleration
Yueh-Han Wu, Tse-Yuan Wang (National Taiwan University), Yuan-Hao Chang (Academia Sinica), Tei-Wei Kuo (City University of Hong Kong), and Hung-Sheng Chang (Macronix)
- Exploring Performance Characteristics of ZNS SSDs: Observation and Implication
Hojin Shin, Myounghoon Oh, Gunhee Choi, Jongmoo Choi (Dankook University)
Session 4: OS and Application (10:30-12:00)
Session Chair: Jongmoo Choi (Dankook University)
- Split’n Trace NVM: Leveraging Library OSes for Semantic Memory Tracing
Christian Hakert, Kuan-Hsun Chen (TU Dortmund), Simon Kuenzer, Sharan Santhanam (NEC Laboratories Europe GmbH), Shuo-Han Chen, Yuan-Hao Chang (Academia Sinica), Felipe Huici (NEC Laboratories Europe GmbH), Jian-Jia Chen (TU Dortmund)
- LOCKED-Free Journaling: Improving the Coalescing Degree in EXT4 Journaling
Kyoungho Koo, Yongjun Park (Hanyang University), Youjip Won (KAIST)
- A Lightweight Framework for Fast Image Retrieval on Large-Scale Image Datasets
Renhai Chen, Wenwen Li, Guozheng Rao, Zhiyong Feng (Tianjin University)
Session 5: Energy Optimization (13:30-15:00)
Session Chair: Chun Jason Xue (City University of Hong Kong)
- A Zero Energy Consumption Scheme for System Suspend to Limited NVM
Weilan Wang, Liang Shi (East China Normal University), Chun Jason Xue (City University of Hong Kong), Edwin Sha (East China Normal University)
- ScaleML: Machine Learning based Heap Memory Object Scaling Prediction
Joongeon Park, Safdar Jamil, Awais Khan (Sogang University), Sangkeun Lee (Oak Ridge National Laboratory), Youngjae Kim (Sogang University)
- Energy Efficient Approximate Storing of Image Data for MTJ Based Non-volatile Memory
Yoshinori Ono, Kimiyoshi Usami (Shibaura Institute of Technology)
Session 6: Invited Session II (15:30-17:00)
Session Chair: Sungjin Lee (DGIST)
- Evanesco: Architectural Support for Efficient Data Sanitization in Modern Flash-Based Storage Systems
Myungsuk Kim (Seoul National University), Jisung Park (ETH Zürich and Seoul National University), Geonhee Cho, Yoona Kim (Seoul National University), Lois Orosa, Onur Mutlu (ETH Zürich), Jihong Kim (Seoul National University)
ASPLOS 2020
- Scalable Parallel Flash Firmware for Many-core Architectures
Jie Zhang, Miryeong Kwon (KAIST), Michael Swift (University of Wisconsin–Madison), Myoungsoo Jung (KAIST)
FAST 2020
- Libnvmmio: Reconstructing Software IO Path with Failure-Atomic Memory-Mapped Interface
Jungsik Choi, Jaewan Hong (Sungkyunkwan University), Youngjin Kwon (KAIST), Hwansoo Han (Sungkyunkwan University)
ATC 2020


Library index
Axure Kit
Carbon
Updates
Common widgets
Style effects
Variables
Selection group
Repeater
Dynamic panel
Introduction
Axure elements
Utilities
UI shell
Tooltip
Toggle
Tile
Text input
Tag
Tabs
Structured list
Slider
Select
Search
Radio button
Progress indicator
Pagination
Overflow menu
Number input
Notification
Modal
Loading
List
Link
Inline loading
Form
File upoader
Dropdown
Date picker
Data table
Content switcher
Code snippet
Checkbox
Button
Breadcrumb
Accordion
Components
Typography
Spacing
Icons
Color
Design elements
Library index
Getting started
Common
Form
Button
Text
Table and List
Modal
Notification and Feedback
Search and Navigation
Tooltip
Container
Grid and Spacing
Icons (Templates)
Form Validation
UI Shell
Utilities
Privacy
Have questions? Open an issue on GitHub.
Last updated 29 January 2020
Copyright © 2020 IBM
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apache_beam.examples package¶
Subpackages¶
- apache_beam.examples.complete package
- Subpackages
- Submodules
- apache_beam.examples.complete.autocomplete module
- apache_beam.examples.complete.autocomplete_test module
- apache_beam.examples.complete.estimate_pi module
- apache_beam.examples.complete.estimate_pi_test module
- apache_beam.examples.complete.tfidf module
- apache_beam.examples.complete.tfidf_test module
- apache_beam.examples.complete.top_wikipedia_sessions module
- apache_beam.examples.complete.top_wikipedia_sessions_test module
- Module contents
- apache_beam.examples.cookbook package
- Submodules
- apache_beam.examples.cookbook.bigquery_schema module
- apache_beam.examples.cookbook.bigquery_side_input module
- apache_beam.examples.cookbook.bigquery_side_input_test module
- apache_beam.examples.cookbook.bigquery_tornadoes module
- apache_beam.examples.cookbook.bigquery_tornadoes_it_test module
- apache_beam.examples.cookbook.bigquery_tornadoes_test module
- apache_beam.examples.cookbook.bigshuffle module
- apache_beam.examples.cookbook.bigshuffle_test module
- apache_beam.examples.cookbook.coders module
- apache_beam.examples.cookbook.coders_test module
- apache_beam.examples.cookbook.combiners_test module
- apache_beam.examples.cookbook.custom_ptransform module
- apache_beam.examples.cookbook.custom_ptransform_test module
- apache_beam.examples.cookbook.datastore_wordcount module
- apache_beam.examples.cookbook.filters module
- apache_beam.examples.cookbook.filters_test module
- apache_beam.examples.cookbook.group_with_coder module
- apache_beam.examples.cookbook.group_with_coder_test module
- apache_beam.examples.cookbook.mergecontacts module
- apache_beam.examples.cookbook.mergecontacts_test module
- apache_beam.examples.cookbook.multiple_output_pardo module
- apache_beam.examples.cookbook.multiple_output_pardo_test module
- Module contents
- apache_beam.examples.snippets package
Submodules¶
apache_beam.examples.streaming_wordcap module¶
A streaming string-capitalization workflow.
Important: streaming pipeline support in Python Dataflow is in development and is not yet available for use.
apache_beam.examples.streaming_wordcount module¶
A streaming word-counting workflow.
Important: streaming pipeline support in Python Dataflow is in development and is not yet available for use.
apache_beam.examples.wordcount module¶
A word-counting workflow.
-
class
apache_beam.examples.wordcount.
WordExtractingDoFn
[source]¶ Bases:
apache_beam.transforms.core.DoFn
Parse each line of input text into words.
apache_beam.examples.wordcount_debugging module¶
An example that verifies the counts and includes best practices.
On top of the basic concepts in the wordcount example, this workflow introduces logging to Cloud Logging, and using assertions in a Dataflow pipeline.
To execute this pipeline locally, specify a local output file or output prefix on GCS:
--output [YOUR_LOCAL_FILE | gs://YOUR_OUTPUT_PREFIX]
To execute this pipeline using the Google Cloud Dataflow service, specify pipeline configuration:
--project YOUR_PROJECT_ID
--staging_location gs://YOUR_STAGING_DIRECTORY
--temp_location gs://YOUR_TEMP_DIRECTORY
--job_name YOUR_JOB_NAME
--runner DataflowRunner
and an output prefix on GCS:
--output gs://YOUR_OUTPUT_PREFIX
-
class
apache_beam.examples.wordcount_debugging.
CountWords
[source]¶ Bases:
apache_beam.transforms.ptransform.PTransform
A transform to count the occurrences of each word.
A PTransform that converts a PCollection containing lines of text into a PCollection of (word, count) tuples.
-
class
apache_beam.examples.wordcount_debugging.
FilterTextFn
(pattern)[source]¶ Bases:
apache_beam.transforms.core.DoFn
A DoFn that filters for a specific key based on a regular expression.
apache_beam.examples.wordcount_debugging_test module¶
Test for the debugging wordcount example.
apache_beam.examples.wordcount_it_test module¶
End-to-end test for the wordcount example.
apache_beam.examples.wordcount_minimal module¶
A minimalist word-counting workflow that counts words in Shakespeare.
This is the first in a series of successively more detailed ‘word count’ examples.
Next, see the wordcount pipeline, then the wordcount_debugging pipeline, for more detailed examples that introduce additional concepts.
Concepts:
- Reading data from text files
- Specifying ‘inline’ transforms
- Counting a PCollection
- Writing data to Cloud Storage as text files
To execute this pipeline locally, first edit the code to specify the output location. Output location could be a local file path or an output prefix on GCS. (Only update the output location marked with the first CHANGE comment.)
To execute this pipeline remotely, first edit the code to set your project ID, runner type, the staging location, the temp location, and the output location. The specified GCS bucket(s) must already exist. (Update all the places marked with a CHANGE comment.)
Then, run the pipeline as described in the README. It will be deployed and run using the Google Cloud Dataflow Service. No args are required to run the pipeline. You can see the results in your output bucket in the GCS browser.
apache_beam.examples.wordcount_minimal_test module¶
Test for the minimal wordcount example.
apache_beam.examples.wordcount_test module¶
Test for the wordcount example.


Nikki Haley: 'Whistleblowers Should Be Protected' | Breitbart
by Pam KeyOn Thursday’s broadcast of CNN’s “Situation Room,” former Trump administration U.S. Ambassador to the United Nations Nikki Haley was quizzed by host Wolf Blitzer about the sanctity of whistleblower laws.
Blitzer asked, “Do you agree with the president that the whistleblower should be named and identified?”
Haley said, “I mean, I believe in whistleblower laws. I think you have to protect a whistleblower, and then I think in turn they have to abide by those laws — the fact they don’t allow any sort of partisan leaking or anything like that to happen. We don’t know that’s happened either, but until then, I do think we should always protect the whistleblower.”
Blitzer said, “So on this issue, you disagree with the president.”
Haley said, “You can call it disagreeing. I think whistleblowers should be protected.”
Blitzer said, “He wants the whistleblower to be named.”
Haley said, “I understand, yep.”
Blitzer asked, “In this area, you believe in the law, to protect the whistleblower?”
Haley replied, “I do. I do believe in the law.”
Follow Pam Key on Twitter @pamkeyNEN


Before Change
// one instance across all threads in the worker. This is possible since
// tf.Session.run() is thread safe.
with self.session_lock:
if self._session is None:
graph = tf.Graph()
self._session = tf.Session(graph=graph)
with graph.as_default():
meta_graph = tf.saved_model.loader.load(
self._session, [tf.saved_model.tag_constants.SERVING],
self._model_dir)
signature = meta_graph.signature_def["serving_default"]
input_tensor_name = signature.inputs["inputs"].name
self._input = graph.get_tensor_by_name(input_tensor_name)
self._boxes_node = graph.get_tensor_by_name(
signature.outputs["detection_boxes"].name)
self._scores_node = graph.get_tensor_by_name(
signature.outputs["detection_scores"].name)
self._num_detections_node = graph.get_tensor_by_name(
signature.outputs["num_detections"].name)
def process(self, tfrecord_entry):
return self._run_inference_and_generate_detections(tfrecord_entry)
def _run_inference_and_generate_detections(self, tfrecord_entry):
After Change
// one instance across all threads in the worker. This is possible since
// tf.Session.run() is thread safe.
with self.session_lock:
self._detect_fn = tf.saved_model.load(self._model_dir)
def process(self, tfrecord_entry):
return self._run_inference_and_generate_detections(tfrecord_entry)


geom¶
I’ve been using .ai to casually create a geom package.
It’s already amazing. You can add shapes together etc.
Changes a lot atm so not documented yet.
domonic.geom¶
written by.ai
- class domonic.geom.matrix(m)[source]
[matrixs]
- rotate(pt)[source]
Rotates the point on the vector defined by the vectors m[0] and m[1].
- scale(pt)[source]
Scales the point on the vector defined by the vectors m[0] and m[1].
- translate(pt)[source]
Translates the point on the vector defined by the vectors m[0] and m[1].


Verifying email address...
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If that’s not right, you can switch to a different email address.
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reStructuredText Cheat Sheet¶
reStructuredText is a markup language for documentation. This markup is processed by the Sphinx engine to create an output. HTML is one type of output. What makes this combination powerful is you can create PDF output with the same source material, written in restructured text [1].
When creating a code-block leave a space after the double colon, or it won’t render
..code-block:: text
Footnotes
| [1] | I was not influenced by being on github to be a markdown fan. When I choose to use reStructuredText I did so with a few thoughts, from research, it was more flexible. However I can’t really claim that’s a good reason to use reStructuredText over markdown. A good read, if be it a biased opinion, can be found at http://ericholscher.com/blog/2016/mar/15/dont-use-markdown-for-technical-docs/, but it’s biased and a few years old at this point. |


Hey there, my name is Demetri Dillard. I am a Dj turned Programmer looking to take the Development World by Storm. My personality can be defined as Disciplined, Thorough, Perfectionist, Music Enthusiast, Knowledge Seeker, and of course fun.
With a talent for Art, I bring crafty designs to the Front End of Web Programming but my thirst for knowledge and know-how drives me more to the Back End of Developing.
Autodidactic by nature, studying and researching diverse, complex ideas for hours, days, even months with an almost obsessive focus is a hobby that gets better with age. An advid self-studier, I've taught myself some fascinating skill sets to the likes of Japanese, Stock Trading, Theology, and DJing which i turned into a successful at home business.
Currently enrolled at The University of Minnesota Coding Boot Camp. I am eager to see what fruits will produce from the labor of this harvest. Enjoy!


If you apply for dissolution, the clan will be dissolved.
You may cancel your application for clan dissolution within one week of applying by using Clan Restoration Request. If you cancel the application, you must wait at least 7 days before making another clan dissolution request.
If you apply for clan dissolution, the clan lord will lose experience equal to the lost in one death. Following the completion of the clan dissolution, you cannot form another clan for 10 days.
Please note that any items remaining in the clan warehouse at the time of clan dissolution will immediately disappear.


-
Coursera
www.coursera.org
Take free online classes from 80+ top universities and organizations. Coursera is a social entrepreneurship company partnering with Stanford ...
-
The Secret Goldman Sachs Tapes
www.bloombergview.com
The public doesn't seem to understand just how dysfunctional our financial regulatory system is, Michael Lewis writes. That may change today with a ...
-
Full-size reissue of the NYCTA Graphics Standards Manual.
www.kickstarter.com
The 1970 NYC Transit Authority Graphics Standards Manual, by Unimark's Massimo Vignelli and Bob Noorda, reissued as a full-size book.
-
Stripe: Apple Pay
stripe.com
Stripe is a suite of APIs that powers commerce for businesses of all sizes.
-
So Bill Gates Has This Idea for a History Class ... - NYTimes.com
www.nytimes.com
In 2008, shortly after Bill Gates stepped down from his executive role at Microsoft, he often awoke in his 66,000-square-foot home on the eastern ...
-
White House names Google’s Megan Smith the next Chief Technology Officer ...
www.washingtonpost.com
Former Twitter lawyer Alex Macgillivray will serve as deputy U.S. CTO.
-
America's Tech Guru Steps Down—But He's Not Done Rebooting the Government ...
www.wired.com
The White House confirmed today the rumors that Todd Park, the nation’s Chief Technical Officer and the spiritual leader of its effort to reform the ...
-
Edward Snowden: The Untold Story | WIRED
www.wired.com
The message arrives on my “clean machine,” a MacBook Air loaded only with a sophisticated encryption package. “Change in plans,” my contact says. “Be ...
-
Drones for Good: How 3D mapping is changing the shape of Peruvian Favelas ...
www.howwegettonext.com
How drone mapping and 3D printing are helping disrupt overly top-down urban planning systems in urban Peru.
-
12 Old Words that Survived by Getting Fossilized in Idioms
mentalfloss.com
English has changed a lot in the last several hundred years, and there are many words once used that we would no longer recognize today.
-
A Golden Age of Design - NYTimes.com
tmagazine.blogs.nytimes.com
Thanks to a convergence of creativity, technology and big money, the heyday of the field may finally be upon us.
-
4 Apps That Get You Lost, So You Can Have Actual Experiences
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Why is technology always about efficiency? These apps introduce a little something unexpected in your day and get you to really take in your...
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India's Mars mission: Picture that spoke 1,000 words
www.bbc.com
One image from the day India put its Mars probe in orbit ended up trending on Twitter and sparked debate about tradition and modernity, says Soutik ...
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Bending All The Phones: iPhone 6 vs. HTC One M8 vs. Moto X | TechCrunch
techcrunch.com
Before the launch of the iPhone 6 Plus, the idea of people being concerned about how "bendy" their phone is would've seemed laughable. A week later, ...
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On ‘Dark Talent’, MOOCs, Universities, and Startups: An Interview with the ...
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We’re bringing together a great group of computer science professors from around the U.S. for talks and discussion as part of our second annual ...
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In Japanese culture, there is a word for this: chindogu. The literal ...
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Yes We Can. But Should We - Medium
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Family Health Map: Immunisation Chart
www.comminit.com
On the cusp of World Immunization Week (April 24-30) 2014, United States (US)-based design firm Moment undertook a project intended to redesign ...
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HBR: How CEOs Became Takers, Not Makers
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The Great Betrayal: Through the pervasive practice of share buybacks, CEOs are extracting, rather than adding, value to their firms and the economy.
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CEOs Get Paid Too Much, According to Pretty Much Everyone in the World
blogs.hbr.org
This is regardless of political affiliation and opinions on pay.
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5 principles for great interface copywriting
www.gv.com
This article was originally published at Fast Company. For many technology companies, design is mysterious. So when I work with startups, I try to ...
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Amazing Quotes to Inspire You Out of a Creative Rut
www.entrepreneur.com
To get your mind flowing with ideas, consider the advice of these great thinkers throughout history.
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Reflecting on EPIC 2014 - Stripe Partners
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The view from the Hudson river during the conference di …
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Digital Tools for Design Research | IDEO Labs
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Design research is about understanding real people in the context of their everyday lives and then using what we learn to inspire our work. This ...
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Trello Celebrates 5 Million Users!
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Trello is celebrating 5 million users with fun facts about Trello's use as well as a free month of Trello Gold for everyone.
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Ruth Benedict, Franz Boas, Anthropological Culture Concept
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Ruth Benedict's Patterns of Culture translated US Boasian anthropology to a mass audience, promoting culture, cultural relativism--and cultural ...
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How to Start a Startup
startupclass.samaltman.com
CS183B is a class we’re teaching at Stanford. It’s designed to be a sort of one-class business course for people who want to start startups.
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Big data: The real business of data science - Dialogue Review
dialoguereview.com
Will data science become necessary in all businesses like marketing or accounting departments? Neal Patel investigates There...
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How I Rebuilt Tinder And Discovered The Shameful Secret Of Attraction
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Why we swipe the way we swipe.
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The company studied thermostat interfaces going back to the 1950s, ...
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The $3.2 Billion Man: Can Google’s Newest Star Outsmart Apple?


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Serverless Pros
- Zero server management
- Reducing architecture costs
- Optimal availability
- Eliminates idle capacity
Serverless Cons
- Response latency
- Limitations
- Testing and debugging become more challenging
- New security concerns
- Are not built for long-running processes
Practical use cases for serverless
Serverless Pixel Tracking
Mt-go-panda
("Red Panda")
<Thank You!> Questions?


Short Summary: method that creates a new array with all elements that pass the test implemented by the provided function (You are creating a new array based on the standards you want, filter is the "bouncer"). DOES NOT MUTATE ARRAY ITSELF.
Parameters/Arguments: 3 arguments: takes in the value(mandatory) of the item, the index(optional) of the item, and the array(optional) itself.
// return all the even numbers
const numbers = [1, 2, 3, 4, 5, 6]; const even = numbers.filter(isEven); function isEven(val) { return val % 2 === 0; }


Capital Cup
Another Major, another analysis…
This time I didn’t have the pleasure of being there, but it was fun to keep up from afar. I’ve pulled data and calculated the course statistics for the tournament. HUGOMORE42
Overall Stats
Some interesting patterns emerge when calculating all the scores across all rounds.
- Holes 3, 7, 12, and 14 were the most difficult. Three of them were par 3’s and one par 4.
- Hole 6, 8, 10 were the easiest. All par 5’s. :thinking:
| hole | par | yds | avg.score | better | eagles | birdies | pars | bogeys | doubles | worse | par.avg |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 1 | 4 | 173 | 4.134 | 0 | 0 | 43 | 178 | 71 | 6 | 0 | 0.134 |
| 2 | 4 | 211 | 4.007 | 0 | 1 | 47 | 203 | 47 | 2 | 0 | 0.007 |
| 3 | 3 | 114 | 3.648 | 0 | 0 | 35 | 115 | 82 | 52 | 14 | 0.648 |
| 4 | 4 | 185 | 3.674 | 0 | 6 | 113 | 152 | 26 | 1 | 0 | -0.326 |
| 5 | 4 | 159 | 3.552 | 0 | 3 | 140 | 144 | 12 | 0 | 0 | -0.448 |
| 6 | 5 | 284 | 4.007 | 3 | 75 | 151 | 57 | 13 | 0 | 0 | -0.993 |
| 7 | 3 | 146 | 3.683 | 0 | 0 | 7 | 117 | 145 | 26 | 5 | 0.683 |
| 8 | 5 | 242 | 4.253 | 0 | 14 | 199 | 84 | 3 | 0 | 0 | -0.747 |
| 9 | 4 | 168 | 3.864 | 0 | 10 | 125 | 71 | 73 | 16 | 0 | -0.136 |
| 10 | 5 | 183 | 4.159 | 3 | 49 | 154 | 78 | 12 | 0 | 0 | -0.841 |
| 11 | 4 | 177 | 3.736 | 0 | 16 | 114 | 111 | 49 | 9 | 0 | -0.264 |
| 12 | 4 | 193 | 4.559 | 0 | 0 | 8 | 135 | 137 | 19 | 0 | 0.559 |
| 13 | 4 | 129 | 3.433 | 0 | 7 | 170 | 110 | 12 | 1 | 0 | -0.567 |
| 14 | 3 | 104 | 3.465 | 0 | 0 | 65 | 114 | 46 | 59 | 13 | 0.465 |
| 15 | 4 | 209 | 4.235 | 0 | 0 | 20 | 196 | 74 | 8 | 0 | 0.235 |
| 16 | 3 | 77 | 3.423 | 0 | 0 | 43 | 117 | 111 | 28 | 1 | 0.423 |
| 17 | 4 | 188 | 3.633 | 0 | 7 | 133 | 125 | 33 | 2 | 0 | -0.367 |
| 18 | 5 | 240 | 4.451 | 2 | 60 | 65 | 122 | 35 | 0 | 0 | -0.549 |
Per Round
Round 1
| hole | par | yds | avg.score | better | eagles | birdies | pars | bogeys | doubles | worse | par.avg |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 1 | 4 | 173 | 4.313 | 0 | 0 | 7 | 57 | 32 | 3 | 0 | 0.313 |
| 2 | 4 | 211 | 4.120 | 0 | 0 | 11 | 67 | 21 | 1 | 0 | 0.120 |
| 3 | 3 | 114 | 3.190 | 0 | 0 | 16 | 59 | 18 | 4 | 3 | 0.190 |
| 4 | 4 | 185 | 4.081 | 0 | 0 | 10 | 72 | 16 | 1 | 0 | 0.081 |
| 5 | 4 | 159 | 3.590 | 0 | 1 | 44 | 50 | 5 | 0 | 0 | -0.410 |
| 6 | 5 | 284 | 4.384 | 0 | 5 | 55 | 35 | 4 | 0 | 0 | -0.616 |
| 7 | 3 | 146 | 3.930 | 0 | 0 | 0 | 24 | 60 | 15 | 1 | 0.930 |
| 8 | 5 | 242 | 4.170 | 0 | 6 | 71 | 23 | 0 | 0 | 0 | -0.830 |
| 9 | 4 | 168 | 3.280 | 0 | 5 | 65 | 27 | 3 | 0 | 0 | -0.720 |
| 10 | 5 | 183 | 4.444 | 0 | 6 | 50 | 36 | 7 | 0 | 0 | -0.556 |
| 11 | 4 | 177 | 4.131 | 0 | 0 | 15 | 58 | 24 | 2 | 0 | 0.131 |
| 12 | 4 | 193 | 4.330 | 0 | 0 | 5 | 59 | 34 | 2 | 0 | 0.330 |
| 13 | 4 | 129 | 3.480 | 0 | 4 | 51 | 38 | 7 | 0 | 0 | -0.520 |
| 14 | 3 | 104 | 2.730 | 0 | 0 | 32 | 63 | 5 | 0 | 0 | -0.270 |
| 15 | 4 | 209 | 4.290 | 0 | 0 | 9 | 57 | 30 | 4 | 0 | 0.290 |
| 16 | 3 | 77 | 3.000 | 0 | 0 | 22 | 60 | 14 | 4 | 0 | 0.000 |
| 17 | 4 | 188 | 3.310 | 0 | 5 | 62 | 30 | 3 | 0 | 0 | -0.690 |
| 18 | 5 | 240 | 5.124 | 0 | 0 | 11 | 63 | 23 | 0 | 0 | 0.124 |
Round 2
| hole | par | yds | avg.score | better | eagles | birdies | pars | bogeys | doubles | worse | par.avg |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 1 | 4 | 173 | 3.880 | 0 | 0 | 25 | 62 | 13 | 0 | 0 | -0.120 |
| 2 | 4 | 211 | 3.900 | 0 | 0 | 18 | 74 | 8 | 0 | 0 | -0.100 |
| 3 | 3 | 114 | 4.630 | 0 | 0 | 0 | 1 | 44 | 46 | 9 | 1.630 |
| 4 | 4 | 185 | 3.100 | 0 | 5 | 82 | 11 | 2 | 0 | 0 | -0.900 |
| 5 | 4 | 159 | 3.545 | 0 | 2 | 44 | 50 | 3 | 0 | 0 | -0.455 |
| 6 | 5 | 284 | 3.450 | 3 | 54 | 38 | 5 | 0 | 0 | 0 | -1.550 |
| 7 | 3 | 146 | 3.690 | 0 | 0 | 0 | 39 | 55 | 4 | 2 | 0.690 |
| 8 | 5 | 242 | 4.370 | 0 | 4 | 56 | 39 | 1 | 0 | 0 | -0.630 |
| 9 | 4 | 168 | 4.874 | 0 | 0 | 0 | 24 | 59 | 12 | 0 | 0.874 |
| 10 | 5 | 183 | 3.730 | 1 | 34 | 56 | 9 | 0 | 0 | 0 | -1.270 |
| 11 | 4 | 177 | 2.980 | 0 | 12 | 80 | 7 | 0 | 1 | 0 | -1.020 |
| 12 | 4 | 193 | 4.890 | 0 | 0 | 1 | 21 | 66 | 12 | 0 | 0.890 |
| 13 | 4 | 129 | 3.480 | 0 | 2 | 52 | 43 | 2 | 1 | 0 | -0.520 |
| 14 | 3 | 104 | 4.806 | 0 | 0 | 0 | 0 | 31 | 55 | 12 | 1.806 |
| 15 | 4 | 209 | 4.131 | 0 | 0 | 5 | 77 | 16 | 1 | 0 | 0.131 |
| 16 | 3 | 77 | 4.180 | 0 | 0 | 0 | 2 | 78 | 20 | 0 | 1.180 |
| 17 | 4 | 188 | 4.130 | 0 | 0 | 15 | 59 | 24 | 2 | 0 | 0.130 |
| 18 | 5 | 240 | 3.410 | 2 | 60 | 33 | 5 | 0 | 0 | 0 | -1.590 |
Round 3
| hole | par | yds | avg.score | better | eagles | birdies | pars | bogeys | doubles | worse | par.avg |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 1 | 4 | 173 | 4.212 | 0 | 0 | 11 | 59 | 26 | 3 | 0 | 0.212 |
| 2 | 4 | 211 | 4.000 | 0 | 1 | 18 | 62 | 18 | 1 | 0 | 0.000 |
| 3 | 3 | 114 | 3.112 | 0 | 0 | 19 | 55 | 20 | 2 | 2 | 0.112 |
| 4 | 4 | 185 | 3.848 | 0 | 1 | 21 | 69 | 8 | 0 | 0 | -0.152 |
| 5 | 4 | 159 | 3.520 | 0 | 0 | 52 | 44 | 4 | 0 | 0 | -0.480 |
| 6 | 5 | 284 | 4.190 | 0 | 16 | 58 | 17 | 9 | 0 | 0 | -0.810 |
| 7 | 3 | 146 | 3.430 | 0 | 0 | 7 | 54 | 30 | 7 | 2 | 0.430 |
| 8 | 5 | 242 | 4.220 | 0 | 4 | 72 | 22 | 2 | 0 | 0 | -0.780 |
| 9 | 4 | 168 | 3.490 | 0 | 5 | 60 | 20 | 11 | 4 | 0 | -0.510 |
| 10 | 5 | 183 | 4.309 | 2 | 9 | 48 | 33 | 5 | 0 | 0 | -0.691 |
| 11 | 4 | 177 | 4.100 | 0 | 4 | 19 | 46 | 25 | 6 | 0 | 0.100 |
| 12 | 4 | 193 | 4.455 | 0 | 0 | 2 | 55 | 37 | 5 | 0 | 0.455 |
| 13 | 4 | 129 | 3.340 | 0 | 1 | 67 | 29 | 3 | 0 | 0 | -0.660 |
| 14 | 3 | 104 | 2.879 | 0 | 0 | 33 | 51 | 10 | 4 | 1 | -0.121 |
| 15 | 4 | 209 | 4.283 | 0 | 0 | 6 | 62 | 28 | 3 | 0 | 0.283 |
| 16 | 3 | 77 | 3.090 | 0 | 0 | 21 | 55 | 19 | 4 | 1 | 0.090 |
| 17 | 4 | 188 | 3.460 | 0 | 2 | 56 | 36 | 6 | 0 | 0 | -0.540 |
| 18 | 5 | 240 | 4.897 | 0 | 0 | 21 | 54 | 12 | 0 | 0 | -0.103 |
When we look at the scoring distribution across the rounds they all seem to be quite normally distributed around par. Interestingly round 2 was more difficult for some and easier for others as indicated by the larger bars for “better than par” and “worse than par”.
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Male/Chow chow/3 year old
"Hi, I'm Boop. I can be a calm guy when I'm inside. When I'm outside, I do love to go for walks and smell everything around me. I'm good with other dogs. I would make a great hiking with an entire family. I Would be better with children over 10 years old."


{% for tour in tours %}
ID: {{tour.id}}
Book now!
Name: {{tour.name}}
Description: {{tour.description}}
Tour agency: {{tour.tour_agency}}
Starts on {{tour.start_date}}
Ends on {{tour.end_date}}
Country: {{tour.country}}
Payment method: {{tour.payment}}
{% endfor %}


WITNESS LIST Natural Resources Committee March 15, 2005 - 2:30P SB 268 Registering, but not testifying: For: Kelly, Mary E. Attorney (Environmental Defense), Austin, TX Stephens, V.A. (Brewster County Groundwater Conservation District), Austin, TX SB 473 Registering, but not testifying: For: Guy, Bill Vice President, Regulatory Affairs (ATMOS ENERGY CORPORATION), Lubbock, TX Urrabazo, J.P. Government Affairs (CenterPoint Energy), Austin, TX On: Cherry, Darrell Texas Gas Association (Texas Gas Association), Houston, TX SB 587 AGAINST: Henry, Jr., Adam Warren Expert Witness (American Crane Rigging and Sling Consultants), Port Arthur, TX Pratt, Hugh Michael Expert Witness (Crane Power Line Safety Organization / Insulatus Inc.) Registering, but not testifying: Against: Moore, Jennifer Mother of Victim (Self), San Antonio, TX


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141 More about Colors: Fair Hues and Shades Several of the three-dimensional arrangements of colors use the concept of “hue,” which more or less means where a color would appear in a rainbow (magenta, near the right, is a long story): These are called “spectral” colors, after the spectrum of rainbow colors. But these colors aren’t equally distributed. There’s an awful lot of green, hardly any yellow, and just a sliver of orange. And no brown at all. And this is already a handwave, because the range of colors that can be generated by RGB monitors doesn’t include some of the true spectral colors. See Spectral color in Wikipedia for all the gory details. This isn’t a problem with the physics of rainbows. It’s in the human eye and the human brain that certain ranges of wavelength of light waves are lumped together as named colors. The eye is just “tuned” to recognize a wide range of colors as green. (See Rods and Cones.) And different human cultures give names to different color ranges. Nevertheless, in old Scratch projects, you’d say change pen color by 1 and it’d take forever to reach a color that wasn’t green. For color professionals, there are good reasons to want to work with the physical rainbow hue layout. But for amateurs using a simpliﬁed, one-dimensional color model, there’s no reason not to use a more programmer- friendly hue scale: In this scale, each of the seven rainbow colors and brown get an equal share. (Red’s looks too small, but that’s because it’s split between the two ends: hue 0 is pure red, brownish reds are to its right, and purplish reds are wrapped around to the right end.) We call this scale “fair hue” because each color family gets a fair share of the total hue range. (By the way, you were probably taught “… green, blue, indigo, violet” in school, but it turns out that color names were different in Isaac Newton’s day, and the color he called “blue” is more like modern cyan, while his “indigo” is more like modern blue. See Wikipedia Indigo.) Our color number scale is based on fair hues, adding a range of grays from black (color number 0) to white (color number14) and also adding shades of the spectral colors. (In color terminology, a shade is a darker version of a color; a lighter version is called a tint.) Why do we add shades but not tints? Partly because I ﬁnd shades more exciting. A shade of red can be dark candy apple red or maroon , but a tint is just some kind of pink . This admitted prejudice is supported by an objective fact: Most projects are made on a white background, so dark colors stand out better than light ones. So, in our color number scale, color numbers 0 to 14 are kinds of gray; the remaining color numbers go through the fair hues, but alternating full-strength colors with shades. This chart shows how the color scales discussed so far are related. Note that all scales range from 0 to 100; the fair hues scale has been compressed in the chart so that similar colors line up vertically. (Its dimensions are crayons by 10 crayons by 5 crayons fair hues color numbers color numbers by 5 color numbers by 10


pyfor.ground_filter module¶
-
class
pyfor.ground_filter.
GroundFilter
¶ Bases:
object
-
class
pyfor.ground_filter.
KrausPfeifer1998
(cell_size, a=1, b=4, g=-2, w=2.5, iterations=5, tolerance=0)¶ Bases:
object
Holds functions and data for implementing Kraus and Pfeifer (1998) ground filter.  This filter is used in FUSION software, and the same default values for the parameters are used in this implementation.
-
__init__
(cell_size, a=1, b=4, g=-2, w=2.5, iterations=5, tolerance=0)¶ - Parameters
cell_size – The cell size of the intermediate surface used in filtering in the same units as the input cloud. Values from 1 to 40 are common, depending on the units in which the original point cloud is projected.
a – A steepness parameter for the interpolating function.
b – A steepness parameter for the interpolating function.
g – The distance from the surface under which all points are given a weight of 1.
w – The window width from g up considered for weighting.
iterations – The number of iterations, i.e. the number of surfaces constructed.
-
bem
(cloud, cell_size)¶ Retrieve the bare earth model (BEM).
- Parameters
cloud – A cloud object.
cell_size – The cell size of the BEM, this is independent of the cell size used in the intermediate surfaces.
- Returns
A Raster object that represents the bare earth model.
-
classify
(cloud, ground_int=2)¶ Sets the classification of the original input cloud points to ground (default 2 as per las specification). This performs the adjustment of the input Cloud object in place. Only implemented for .las files. Additionally, the original ground classification is preserved if it exists, so this will only add additional ground points for already classified point clouds.
- Parameters
cloud – A cloud object.
ground_int – The integer to set classified points to, the default is 2 in the las specification for ground
points.
-
ground_points
(cloud)¶ Returns a new Cloud object that only contains the ground points. :return:
-
normalize
(pc, cell_size)¶ Normalizes the original point cloud in place. This creates a BEM as an intermediate product, please see .bem() to return this directly.
- Parameters
pc – A cloud object.
cell_size – The cell_size for the intermediate BEM. Values from 1 to 6 are common.
-
-
class
pyfor.ground_filter.
Zhang2003
(cell_size, n_windows=5, dh_max=2, dh_0=1, b=2, interp_method='nearest')¶ Bases:
object
Implements Zhang et. al (2003), a progressive morphological ground filter. This filter uses an opening operation combined with progressively larger filtering windows to remove features that are ‘too steep’. This particular implementation interacts only with a raster, so the output resolution will be dictated by the cell_size argument.
-
__init__
(cell_size, n_windows=5, dh_max=2, dh_0=1, b=2, interp_method='nearest')¶ - Parameters
cloud – The input cloud object.
n_windows – The number of windows to construct for filtering.
dh_max – The maximum height threshold.
dh_0 – The starting null height threshold.
cell_size – The cell_size used to construct the array for filtering, also the output size of the BEM.
interp_method – The interpolation method used to fill nan values in the final BEM.
-
bem
(cloud, classified=False)¶ Retrieve the bare earth model (BEM). Unlike
KrausPfeifer1998
, the cell size is defined upon initialization of the filter, and thus it is not required to retrieve the bare earth model from the filter.- Parameters
cloud – A Cloud object.
- Returns
A
Raster
object that represents the bare earth model.
-
normalize
(cloud)¶ Normalizes the original point cloud in place. This creates a BEM as an intermediate product, please see .bem() to return this directly.
- Parameters
cloud – The input cloud object to normalize.
-


{{vm.title}}
retry settings
test Api URL (to make a get request to with param of try to succeed on)
strategy
minWait (ms)
min time before next retry. In progressiveBackOff strategy also used as initial retry interval
maxWait (ms)
max time before next retry with randomizedRetry only
retries
Number of retry attempts to make
base
base for progressiveBackOff strategy only
startSequenceFrom
starting point for the back off server eg 16 > 16,32...
go
results
{{result.message}}


The OpenCPU project by Jeroen Ooms provides the R package opencpu and the JavaScript Client opencpu.js to make R packages accessible from a webpage. One of its nicest features is that it preserves the data types when transferring from JavaScript to R via JSON. This means that an R package author doesn't need to provide any wrapper functionality to process JSON. The conversion is performed by the R package jsonlite (also by Jeroen). For all the details, see the package vignette A mapping between JSON data and R objects.
This example app, ocpuBizarro, demonstrates this feature using Jenny Bryan's bizarro function from her presentation "Code Smells and Feels" at useR! 2018 in Brisbane, QLD. The original file I copied and modified is 11_biz_S3.R. The function uses the S3 OO system to dispatch a different method based on the object's type. The examples below pass a JavaScript string, number, and boolean to bizarro via OpenCPU. Each time the correct S3 method is dispatched based on the object's type in JavaScript.
JavaScript string to R character vector
In this first example, a string is passed from JavaScript to R. Thus the
S3 method
bizarro.character
is
called, which reverses the string.
Enter text:
Input JavaScript data type:
R code executed:
Output JavaScript data type:
JavaScript number to R numeric vector
In this second example, the JavaScript function
parseFloat
converts the input string to a floating point number, and then passes this
directly to R. Thus the S3 method
bizarro.numeric
is called,
which multiples the number by -1.
Enter number:
Input JavaScript data type:
R code executed:
Output JavaScript data type:
JavaScript boolean to R logical vector
In this third example, the JavaScript converts the input string to a
boolean by testing for equality with "true"
(
== "true"
), and then passes this directly to R. Thus the S3 method
bizarro.logical
is called,
which negates the boolean.
Choose a boolean value:
Input JavaScript data type:
R code executed:
Output JavaScript data type:
JavaScript 1D array to R atomic vector
A 1D JavaScript array is converted to an atomic vector in R. If the array is homogenous, the data type is preserved. If the array is heterogenous, then R applies its coercion rules. Since the heterogenous example below includes a string, the number and boolean are converted to strings.
Choose a type of 1D array:
Input JavaScript data type:
R code executed:
Output JavaScript data type:
JavaScript array of records to R data frame
A JavaScript array of records is converted to a data frame in R. An important distinction is that the JavaScript array is row-based whereas the R data frame is column-based.
Input JavaScript data type:
R code executed:
Output JavaScript data type:


2018 Collaboration with sound artist Kevin Hsu Select real-time IP cameras from around the world, analog surveillance camera, DIY sound-reactive video module, WJAVE-5 composite video mixer


By clicking below you are acknowledging that you agree to be bound by the terms of this Artist License Agreement (this “Agreement”) between you (the “Artist” or “you” or “your”) and Maeus Inc. (“Maeus”).
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You agree to be bound by and abide by the Maeus Terms and Conditions of Use, which are hereby incorporated into this Agreement by reference.
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You agree that you are the owner of any audio file, musical creation, musical arrangement, lyrics, photographs, artwork or any other content (together, the “Content”) that you post on the Maeus website or mobile application (together, the “Maeus Application”), or that you have permission from the owner or such other person authorized to give such permission to post any such Content on the Maeus Application and to grant Maeus a license to use such Content, as explained below. You represent that your posting of the Content on the Maeus Application does not infringe on the intellectual property or ownership rights of any person or entity. You agree to indemnify and hold Maeus harmless for any claims, losses or damages brought against or incurred by Maeus arising from any breach of the representation in the preceding sentence.
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You hereby grant to Maeus a worldwide, non-exclusive, royalty-free license to use the Content in the Maeus Application. You understand that the purpose of the Maeus Application is to promote the music of local, independent artists and musicians, and, therefore, the only consideration that you will receive in exchange for our royalty-free use of any Content you post on the Maeus Application is access to our database of users and promotion of your music or art through the Maeus Application.


Preparation time
less than 30 mins
Cooking time
10 to 30 mins
Serves
Serves 1
Preheat the oven to 180C/350F/Gas 4.
For the aubergine fritters, heat the oil in a pan and gently fry the onion and garlic for 2-3 minutes. Add the turmeric, tomato purée, stock, wine and sugar and bring to a gentle simmer for about five minutes.
Meanwhile, heat the vegetable oil for deep frying in a large saucepan and heat until a small cube of bread turns golden-brown in 30 seconds. (CAUTION: do not leave oil unattended as hot oil can be dangerous.) Carefully add the aubergine cubes and fry for 4-5 minutes, or until golden-brown.
Remove with a slotted spoon and drain on kitchen towel before stirring them gently into the onion and spices. Finally, stir in the coriander.
For the cumin and turmeric crusted mackerel, combine the spices in a bowl and coat the fish with the mixture. Season, to taste, with salt and freshly ground black pepper. Heat the oil in a frying pan and fry the mackerel until golden-brown on both sides, about 3-4 minutes. Transfer the pan to the oven to continue cooking for 8-10 minutes.
To serve, place the fish in the centre of a serving plate and surround with the aubergine fritters. Garnish with chopped fresh chives and lime wedges.


Background
This simulator was inspired by an economic model proposed by Thomas Schelling to try to understand the segregation of populations. It was originally talking about racial segregation, but it is generic enough to be used in different contexts of segregation or no context at all. This simulator isn't meant to be accurate with the original model.
How It Works
The simulation board is randomly filled with two different populations and blank space. In the first round, the algorithm iterates over the board cells looking for dissatisfied agents.
A dissatisfied agent is one which has a number of opposing agents surrounding him that is greater than the threshold defined in the simulation. So let's say an agent of the population A is surrounded by 5 agents of the population B and the threshold defined is 4. This agent in particular is considered dissatisfied by the algorithm.
After the algorithm has iterated over the whole board, the simulator changes the position of all the dissatisfied agents. This agents can change positions with other dissatisfied agents or with blank spaces.
Notice that this changing in agents positions can have two effects: it can make previously dissatisfied agents to become satisfied and vice-versa.
The simulator keeps repeating this process until there are no more dissatisfied agents on the board.
What It Means
After running different setups of the simulation, you should be able to notice something.
The threshold value of the simulation is called the tolerance threshold, usually referred as variable t, and it is the determining factor on the outcome of the simulation. The lower you set this threshold, the more segregated the populations become, usually forming big isolated blocks separated by blank spaces. As you increase the threshold, the board gets more mixed up, more homogeneous. That is the whole point of the simulation.
You may notice that in certain combinations of board size and threshold sets the simulation might never end, since it might not be possible to satisfy all the agents. Nevertheless, you can stop the simulation at any time.


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Contents
The following functions perform operations on Header-Data Units (HDUs)
as a whole.
- 1
- Move to a different HDU in the file. The first routine moves to a
specified absolute HDU number (starting with 1 for the primary
array) in the FITS file, and the second routine moves a relative
number HDUs forward or backward from the current HDU. A null
pointer may be given for the hdutype parameter if it's value is not
needed. The third routine moves to the (first) HDU which has the
specified extension type and EXTNAME and EXTVER keyword values (or
HDUNAME and HDUVER keywords). The hdutype parameter may have a
value of IMAGE_HDU, ASCII_TBL, BINARY_TBL, or ANY_HDU where
ANY_HDU means that only the extname and extver values will be used
to locate the correct extension. If the input value of extver is 0
then the EXTVER keyword is ignored and the first HDU with a
matching EXTNAME (or HDUNAME) keyword will be found. If no
matching HDU is found in the file then the current HDU will remain
unchanged and a status = BAD_HDU_NUM will be returned.
int fits_movabs_hdu / ffmahd
(fitsfile *fptr, int hdunum, > int *hdutype, int *status)
int fits_movrel_hdu / ffmrhd
(fitsfile *fptr, int nmove, > int *hdutype, int *status)
int fits_movnam_hdu / ffmnhd
(fitsfile *fptr, int hdutype, char *extname, int extver, > int *status)
- 2
- Return the total number of HDUs in the FITS file. This returns the
number of completely defined HDUs in the file. If a new HDU has just been added to
the FITS file, then that last HDU will only be counted if it has been closed,
or if data has been written to the HDU.
The current HDU remains unchanged by this routine.
int fits_get_num_hdus / ffthdu
(fitsfile *fptr, > int *hdunum, int *status)
- 3
- Return the number of the current HDU (CHDU) in the FITS file (where
the primary array = 1). This function returns the HDU number
rather than a status value.
int fits_get_hdu_num / ffghdn
(fitsfile *fptr, > int *hdunum)
- 4
- Return the type of the current HDU in the FITS file. The possible
values for hdutype are: IMAGE_HDU, ASCII_TBL, or BINARY_TBL.
int fits_get_hdu_type / ffghdt
(fitsfile *fptr, > int *hdutype, int *status)
- 5
- Copy all or part of the HDUs in the FITS file associated with infptr
and append them to the end of the FITS file associated with
outfptr. If 'previous' is true (not 0), then any HDUs preceding
the current HDU in the input file will be copied to the output
file. Similarly, 'current' and 'following' determine whether the
current HDU, and/or any following HDUs in the input file will be
copied to the output file. Thus, if all 3 parameters are true, then the
entire input file will be copied. On exit, the current HDU in
the input file will be unchanged, and the last HDU in the output
file will be the current HDU.
int fits_copy_file / ffcpfl
(fitsfile *infptr, fitsfile *outfptr, int previous, int current,
int following, > int *status)
- 6
- Copy the current HDU from the FITS file associated with infptr and append it
to the end of the FITS file associated with outfptr. Space may be
reserved for MOREKEYS additional keywords in the output header.
int fits_copy_hdu / ffcopy
(fitsfile *infptr, fitsfile *outfptr, int morekeys, > int *status)
- 7
- Write the current HDU in the input FITS file to the
output FILE stream (e.g., to stdout).
int fits_write_hdu / ffwrhdu
(fitsfile *infptr, FILE *stream, > int *status)
- 8
- Copy the header (and not the data) from the CHDU associated with infptr
to the CHDU associated with outfptr. If the current output HDU
is not completely empty, then the CHDU will be closed and a new
HDU will be appended to the output file. An empty output data unit
will be created with all values initially = 0).
int fits_copy_header / ffcphd
(fitsfile *infptr, fitsfile *outfptr, > int *status)
- 9
- Delete the CHDU in the FITS file. Any following HDUs will be shifted
forward in the file, to fill in the gap created by the deleted
HDU. In the case of deleting the primary array (the first HDU in
the file) then the current primary array will be replace by a null
primary array containing the minimum set of required keywords and
no data. If there are more extensions in the file following the
one that is deleted, then the the CHDU will be redefined to point
to the following extension. If there are no following extensions
then the CHDU will be redefined to point to the previous HDU. The
output hdutype parameter returns the type of the new CHDU. A null
pointer may be given for
hdutype if the returned value is not needed.
int fits_delete_hdu / ffdhdu
(fitsfile *fptr, > int *hdutype, int *status)
FITSIO Home
Next: 5.4 Header Keyword Read/Write
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Contents


Gecode::Set::Int::OverweightValues< I > Class Template Reference
Detailed Description
template<class I>
class Gecode::Set::Int::OverweightValues< I >
Value Iterator for values above a certain weight.
Definition at line 49 of file weights.icc.
Constructors and initialization | |
| OverweightValues (void) | |
| Default constructor. | |
| OverweightValues (int t, SharedArray< int > &elements0, SharedArray< int > &weights0, I &i) | |
| Initialize with elements/weights pairs, threshold t and iterator i. | |
| void | init (int t, SharedArray< int > &elements0, SharedArray< int > &weights0, I &i) |
| Initialize with elements/weights pairs, threshold t and iterator i. | |
Iteration control | |
| bool | operator() (void) const |
| Test whether iterator is still at a value or done. | |
| void | operator++ (void) |
| Move iterator to next value (if possible). | |
Value access | |
| int | val (void) const |
| Return current value. |
Constructor & Destructor Documentation
template<class I>
| Gecode::Set::Int::OverweightValues< I >::OverweightValues | ( | void | ) | [inline] |
template<class I>
| Gecode::Set::Int::OverweightValues< I >::OverweightValues | ( | int | t, | |
| SharedArray< int > & | elements0, | |||
| SharedArray< int > & | weights0, | |||
| I & | i | |||
| ) | [inline] |
Initialize with elements/weights pairs, threshold t and iterator i.
Definition at line 113 of file weights.icc.
Member Function Documentation
template<class I>
| void Gecode::Set::Int::OverweightValues< I >::init | ( | int | t, | |
| SharedArray< int > & | elements0, | |||
| SharedArray< int > & | weights0, | |||
| I & | i | |||
| ) | [inline] |
Initialize with elements/weights pairs, threshold t and iterator i.
Definition at line 126 of file weights.icc.
template<class I>
| bool Gecode::Set::Int::OverweightValues< I >::operator() | ( | void | ) | const [inline] |
template<class I>
| void Gecode::Set::Int::OverweightValues< I >::operator++ | ( | void | ) | [inline] |
template<class I>
| int Gecode::Set::Int::OverweightValues< I >::val | ( | void | ) | const [inline] |
The documentation for this class was generated from the following file:
- gecode/set/int/weights.icc (Revision: 6017)


1) Abstraction
This assignment mainly researched stillbirth monthly in Etobicoke from 2011 to 2020. It used two histograms to compare general tendency and situation in 2020, which find there was a rise in the mode of stillbirth monthly from 50 to 70. In addition, the largest value of fetus which died in the uterus in 2020 decreased compared with total trend.
2) Introduction
Many babies are died after 20 weeks pregnancy and before they come up in this world, we call this phenomenon is stillbirth. The data of this project illustrate total trend of stillbirth from Registry Services Tracking System. Following graphs and descriptions will tell people more information about theme.
3) Data Introduction
The background of dataset is about stillbirth which was recorded by Registry Services at the Etobicoke Civic Centre from 2011 to 2020. Here are two main variables. One is SILLBIRTH_LICENSES (belongs to integer) that describes number of stillbirths registered in the month. The other one is TIME_PERIOD (belongs to character) which illustrates month death registered. Id and CIVIC_CENTRE are less important, they represent unique row identifier for open data base and code of civic centre respectively. I use Wickham et al. (2019) and City Clerk’s Office(2020).
install.packages("opendatatoronto")
## Installing package into '/home/rstudio-user/R/x86_64-pc-linux-gnu-library/4.0'
## (as 'lib' is unspecified)
install.packages("dplyr")
## Installing package into '/home/rstudio-user/R/x86_64-pc-linux-gnu-library/4.0'
## (as 'lib' is unspecified)
library(opendatatoronto)
library(dplyr)
##
## Attaching package: 'dplyr'
## The following objects are masked from 'package:stats':
##
## filter, lag
## The following objects are masked from 'package:base':
##
## intersect, setdiff, setequal, union
package <- show_package("93b2ff8c-989b-49cd-8597-5286c95a287e")
package
## # A tibble: 1 x 10
## title id topics civic_issues excerpt dataset_category num_resources formats
## <chr> <chr> <chr> <chr> <chr> <chr> <int> <chr>
## 1 Stil… 93b2… <NA> <NA> <NA> <NA> 1 <NA>
## # … with 2 more variables: refresh_rate <chr>, last_refreshed <date>
resources <- list_package_resources("93b2ff8c-989b-49cd-8597-5286c95a287e")
datastore_resources <- filter(resources, tolower(format) %in% c('csv', 'geojson'))
data <- filter(datastore_resources, row_number()==1) %>% get_resource()
data
## # A tibble: 109 x 4
## `_id` CIVIC_CENTRE STILLBIRTH_LICENSES TIME_PERIOD
## <int> <chr> <int> <chr>
## 1 1740 ET 24 2011-01
## 2 1741 ET 12 2011-02
## 3 1742 ET 17 2011-03
## 4 1743 ET 38 2011-04
## 5 1744 ET 20 2011-05
## 6 1745 ET 2 2011-06
## 7 1746 ET 116 2011-08
## 8 1747 ET 144 2011-09
## 9 1748 ET 65 2011-10
## 10 1749 ET 107 2011-11
## # … with 99 more rows
install.packages("tidyverse")
## Installing package into '/home/rstudio-user/R/x86_64-pc-linux-gnu-library/4.0'
## (as 'lib' is unspecified)
library(tidyverse)
## ── Attaching packages ──────────────────────────────────────────────── tidyverse 1.3.0 ──
## ✓ ggplot2 3.3.2 ✓ purrr 0.3.4
## ✓ tibble 3.0.3 ✓ stringr 1.4.0
## ✓ tidyr 1.1.2 ✓ forcats 0.5.0
## ✓ readr 1.3.1
## ── Conflicts ─────────────────────────────────────────────────── tidyverse_conflicts() ──
## x dplyr::filter() masks stats::filter()
## x dplyr::lag() masks stats::lag()
ggplot(data = data, aes(x=STILLBIRTH_LICENSES)) + geom_histogram(color = 'grey', fill='pink', bins=15)
data %>% filter(TIME_PERIOD >2020)->new_data
ggplot(data = new_data, aes(x=STILLBIRTH_LICENSES)) + geom_histogram(color = 'grey', fill='yellow', bins=15)
Finds
For first histogram, it talks about the overall trend of stillbirth from Jan. 2011 to Aug.2020. We could easily realize the mode of embryos die every month is aound at 50, the lowest and highest record is around 0 and 162. I would like to find out if there will be changes in 2020, so I made the second histogram. The difference is that the mode of stillbirth increased to 70 per month. In conclusion, the maximum number of stillbirth decreased to 75 may be caused by the development of technology and improved nutrition, but the mode of stillbirth per month grew significantly.
Reference
City Clerk’s Office. 2020. “Stillbirth Registration Statistics.” https://open.toronto.ca/dataset/stillbirth-registration-statistics/
Wickham, Hadley, Mara Averick, Jennifer Bryan, Winston Chang, Lucy D’Agostino McGowan, Romain François, Garrett Grolemund, et al. 2019. “Welcome to the tidyverse.” Journal of Open Source Software 4 (43): 1686. https://doi.org/10.21105/joss.01686.


{#
Copyright (c) 2014 The Pycroft Authors. See the AUTHORS file.
This file is part of the Pycroft project and licensed under the terms of
the Apache License, Version 2.0. See the LICENSE file for details.
#}
{% extends "layout.html" %}
{% import "macros/forms.html" as forms %}
{% block content %}
{{ forms.simple_form(form, url_for(".login", next=next), url_for('dormitories.overview'), submit_text="Login" ) }}