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Define vector fields of ODE : Kuramoto control problem whose dynamics is
where we control the first oscillator,
in order to change the limit phase value to be 0.
We first define the system of ODEs in terms of symbolic variables.
clear all
clc
m = 10; %% [m]: number of oscillators, which we may change later.
th = sym('th', [m,1]); %% [th_i]: phases of oscillators, $\theta_i$
om = sym('om', [m,1]); %% [om_i]: natural frequencies of osc., $\omega_i$
KK = sym('K',[m,m]); %% [Ki_j]: the coupling network matrix, $K_{i,j}$
syms Nsys; %% [Nsys]: the vector fields of ODEs
thth = repmat(th,[1 m]);
Nsys = om + (1./m)*sum(KK.*sin(thth.' - thth),2); %% Kuramoto interaction terms
syms u; %% [u]: One-dimensional control term
Nsys(1) = Nsys(1) + u; %% For the first particle, we put the control term
%% latex(Nsys)
The system is as follows:
Linearized model and numerical data setting
We now construct the linearized system using Jacobian:
syms F; %% [F]: The system without control
F = subs(Nsys,u,0);
syms Amat Bmat; %% [Amat, Bmat]: Symbolic versions of the matrix A and B
th_eq = zeros(m,1); %% Evaluation of Jacobian is at equilibrium, [0;0;0;0].
Amat = subs(jacobian(F,th),th,th_eq);
Bmat = diff(subs(Nsys,th,th_eq),u);
Construction of numerical matrices $A$ and $B$:
We next set the physical parameters. Natural frequencies, however, we put them zero to apply linear-quadratic control model.
The coupling network matrix is set to be random near ones(m,m):
KK_init = ones(m,m)+0.2*(2*(rand(m,m)-0.5));
and save it in the folder ‘functions/coupling.mat’.
om_init = zeros(m,1);
load('functions/coupling.mat','KK_init');
A = double(subs(Amat,[om,KK],[om_init,KK_init]));
B = double(subs(Bmat,[om,KK],[om_init,KK_init]));
Construction of the LQR controller and its evaluation
We design the LQR controller and solve it with linearized model.
The cost is only for the symmetric quadrature at $[0,0,0]$ since we want all of them to be 0.
R = 1; Q = diag(ones(m,1));
[ricsol,cleig,K,report] = care(A,B,Q);
K %% Present the feedback matrix
K =
Columns 1 through 7
0.6358 0.2930 0.2924 0.2829 0.2604 0.3013 0.2775
Columns 8 through 10
0.2777 0.2701 0.2713
Practically, any $K$ with positive elements can make the limit point to be 0, e.g., K=[1,1,1].
The initial condition is chosen on $[-0.55\pi,0.55\pi]$ by
ini = 0.55*pi()*(2*(rand(m,1)-0.5));
which is stored in the functions folder, ‘functions/ini.mat’.
load('functions/ini.mat','ini'); %% Safe data
tspan = [0,10];
1) Simulate the nonlinear dynamics without any control: $u = 0$.
syms Isys_ori;
Isys_ori = subs(F,[om,KK],[om_init,KK_init]);
Isys_ori_ftn_temp = matlabFunction(Isys_ori,'Vars',{th});
Isys_ori_ftn = @(t,x) Isys_ori_ftn_temp(x);
[timenc, statenc] = ode45(Isys_ori_ftn,tspan, ini); %% Solve ODE with 'ode45'
2) Simulate the linear dynamics with CARE function
f_ctr = @(x) -K*x;
i_linear = @(t,x) A*x + B*f_ctr(x);
[time, state] = ode45(i_linear,tspan, ini);
3) Simulate the nonlinear dynamics with the same control
syms Isys;
Isys = subs(Nsys,[om,KK,u],[om_init,KK_init,(-K*th)]);
Isys_ftn_temp = matlabFunction(Isys,'Vars',{th});
Isys_ftn = @(t,x) Isys_ftn_temp(x);
[timen, staten] = ode45(Isys_ftn,tspan, ini);
Visualization
plot(timenc, statenc(:,1)/pi(),'-k','LineWidth',2) %% The first oscillator is black-colored.
hold on
plot(timenc, statenc(:,2:m)/pi(),'LineWidth',2)
grid on
xlabel('Time')
ylabel('Phases [\pi]') %% The unit is $\pi$.
title('Figure 1: Phases of the model without control')
hold off
clf
plot(time, state(:,1)/pi(),'-k','LineWidth',2)
hold on
plot(time, state(:,2:m)/pi(),'LineWidth',2)
grid on
xlabel('Time')
ylabel('Phases [\pi]')
title('Figure 2: Phases of the linearized model')
hold off
clf
plot(timen, staten(:,1)/pi(),'-k','LineWidth',2)
hold on
plot(timen, staten(:,2:m)/pi(),'LineWidth',2)
grid on
xlabel('Time')
ylabel('Phases [\pi]')
title('Figure 3: Phases of the Kuramoto model')
hold off
In Figure 1, the limit point is not zero since the mean value of initial phases is nonzero.
Figure 2 shows that the first oscillator keeps it phase above zero to make the final phases zero.
The nonlinear model has less decay then the linearized model, but goes to zero in Figure 3.
Failure of LQR control for large initial data
The initial data is from
ini2 = pi()*(2*(rand(m,1)-0.5));
which is uniformly distributed on $[-\pi,\pi]$. We expect the limit point to be separated in the real line with differences $2\pi$.
load('functions/ini2.mat','ini2'); %% Separated data
f_ctr = @(x) -K*x;
i_linear = @(t,x) A*x + B*f_ctr(x);
tspan = [0,20];
[time, state] = ode45(i_linear,tspan, ini2);
syms Isys;
Isys = subs(Nsys,[om,KK,u],[om_init,KK_init,(-K*th)]);
Isys_ftn_temp = matlabFunction(Isys,'Vars',{th});
Isys_ftn = @(t,x) Isys_ftn_temp(x);
[timen, staten] = ode45(Isys_ftn,tspan, ini2);
figure(4)
plot(time, state(:,1)/pi(),'-k','LineWidth',2)
hold on
plot(time, state(:,2:m)/pi(),'LineWidth',2)
grid on
xlabel('Time')
ylabel('Phases [\pi]')
title('Figure 4: Phases of the linearized model')
hold off
figure(5)
plot(timen, staten(:,1)/pi(),'-k','LineWidth',2)
hold on
plot(timen, staten(:,2:m)/pi(),'LineWidth',2)
grid on
xlabel('Time')
ylabel('Phases [\pi]')
title('Figure 5: Phases of the Kuramoto model')
hold off
We can see that $\theta_1$ does not tend to zero in Figure 5 since $K\times\Theta$ is near zero already. Linear feedback control is not enough, or too weak, for this setting.


Rivlin Meets in UK on Fund Initiatives in Israel
by Hana Levi JulianPresident Rivlin has arrived in London, England where he is on a working visit at the invitation of the Portland Trust, where he is to participate in a meeting of heads of impact funds which advance projects and initiatives in Israel and the Middle East, including the Portland Trust and Yad HaNadiv.
At the meeting participants are to discuss a number of initiatives that are under consideration for the coming year, in the spirit of the ‘Four Tribes’ speech and in relation to social dynamics in Israel and the region, according to the president’s spokesperson.
The projects being presented are to focus on advancing shared existence, social diversity and confidence-building across society.
President Rivlin is slated to speak at the opening of the conference, as will Chair of Yad HaNadiv-The Rothschild Foundation Lord Jacob Rothschild, Chair of the Portland Trust Sir Ronald Cohen, CEO of the Portland Trust Douglas Krikler and Chair of UJIA Louise Jacobs.


{% extends "web/app/app_base.html" %} {% load static %} {% block app %} Yay! You have access! If you're seeing this page then you're subscribed to a plan. Thanks for being a customer! {% endblock %}
If you're seeing this page then you're subscribed to a plan. Thanks for being a customer!


I briefly talked about stereotype threat before. And I equated it to a self-fulfilling prophecy stemming from one's fear of a negative stereotype. How can one overcome such a fear? Sure, an all-inclusive environment would help. But it is also about asserting who you are rather than what you are. It starts with affirming your values, and taking refuge in them. For yourself, first and foremost. Not to judge others. I myself have three values that I try to live by.
COMPETENCE. I want my speech and actions to be adequate at all times. Without adequacy, it would be difficult to best project wholesome qualities. It does require ever expanding skills, knowledge, and capacities.  It drives confidence, control, coolness under fire, decisiveness, and quality.
COMMITMENT. It is not attachment. I just like to dedicate myself to what I do, and whom I love. It relates to accomplishment, achievement, freedom, integrity, loyalty, merit, persistence, responsibility, stability, and will-power.
COMPASSION. It is the most important value for me. This value is not about being nice. It is putting myself in someone's else shoes, feeling suffering, and having the desire to relieve and never add suffering. It is the force behind affection, close relationships, embracing all, fairness, friendships, helping others, honesty, inner harmony, inspiration, justice, mentorship, openness, volunteering, recognition, and romance.
Yes, I believe in causality. So I try to create my own self-fulfilling prophecy by following those three guiding principles. No matter how hard the wind blows from one direction or another, I can still steer the boat. Find your mantra, and remember that...
"Nothing endures but change." - Heraclitus


title
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Q: THE WINGED SERPENT (director:Larry Cohen; cast: Michael Moriarty (Jimmy Quinn), David Carradine (Detective Shepard), Richard Roundtree (Sergeant Powell), Candy Clark (Joan), Larkin Ford (Museum Curator), Malachy McCourt (Police Commissioner), 1982)
A flirtatious window washer, on a skyscraper, has his head lopped off while on the job. One cop asks another, How did that happen? I dunno, maybe his head came loose. A tenured college professor is found flayed in his hotel room, while on a visit to NYC, as the cops rule out suicide since there is no reason for a tenured teacher to kill himself. A woman sunbathing in the nude on the roof of her building is attacked by a giant bird and is carried off to be flayed and dumped in the roof storage area of the Chrysler Building, where the birds are nesting and hatching future attacking birds in giant eggs. Is there a connection between the flayer and the birds? Detectives Shepherd (David Carradine) and Powell (Richard Roundtree) are assigned the case, and Shepherd immediately puts two and two together and comes up with this logical deduction, that this must be a ritual killing. So he sees the Museum of Natural History's curator and hears his explanations on myths of sacrifice, and it now comes obvious, even to a skeptic like him, that this must be the Q in the title of the film, Quetzecoatl, the flying Aztec god, that the curator is talking about, who can be prayed back into existence and kept alive with the blood that must be given willingly by the victim, or else, the ritual performed by the priest (the flayer) is meaningless, and the bird or God, can't gain strength from the blood.
Meanwhile, petty criminal, ex-junkie nerd and convict, the quick-talking, Jimmy Quinn (Michael Moriarty), tries out for a piano singer's gig in the bar his girlfriend, Joan (Candy), works at, using a piece a black man who killed seven white men taught him how to play when he was doing hard time; but, he doesn't get the job. So he takes the other job he was offered earlier on in the day, to drive a getaway car in a jewelry heist. Quinn is a born loser, so natch, the job goes sour, when the hoods make him come into the store with them and give him a gun, even though he asserts that wasn't part of the deal. When things get fouled up inside the store, he walks out with the diamonds, but doesn't have the keys to the car, and then gets hit by a cab, as the bag full of jewels disappears in the street, whereas he will have to walk with a limp for the rest of the film, while being pursued by the mobsters and tracked down by the police, because the other hoods get caught in the store and rat him out. But in hiding out from the mob, he inadvertently stumbles upon where the bird nests.
This is real funny stuff. The special effects for this low-budget film are surprising well-done. And things are happening so fast, that there is no time to think about what is happening, since logic has already been swooped away by that fuckin' bird, as that is how it is referred to by NYC's finest, as they scratch their heads over this one, gathering 43 witness reports of blood dripping on them from skyscrapers and a huge bird that is seen in the sky, carrying off construction workers; and, on a luxury building, a rooftop swimmer is swooped away by a huge bird in front of everyone else in the pool.
Quinn, while running from the two hoods who want the jewels, leads them right into the claws of the nesting bird, giggling at their misfortune of being eating to death, and realizing he has his meal ticket, if he plays his cards right, as the police question him about the jewelry heist, but are really concerned about all those mysterious killings.
What is amazing, is how well the story and the routine investigation of the cops into this bizarre newspaper headline story go together, as Carradine takes it all in as just another day at the office, while Quinn couldn't be more goofier and likable, smiling like he won the lottery when he blackmails the city into giving him a million bucks for his info, stating that he also wants a Nixon-like pardon.
Powell, as the straight gung -ho cop, has the honor of teaming up with an undercover cop, disguised as a mime, as they chase the lunatic priest over NYC rooftops, after the priest fails to get the not-too-swift Quinn to pray with him, so he can voluntarily give his blood to God.
I loved the explanation given for what God is: an invisible force we fear, and in our vanity, we try to make it human.
Sometimes the low-budget nonsense films that don't take themselves that serious and just go out there and do their funny thing, are much better than those serious films that win all those critical praises from the illustrious establishment critics, and this is one of those films, in the genre of someone like an Edgar Ulmer. All you have to remember about this film, is that what you have seen, is all that there is to see, there are no hidden messages or deep symbolic meanings for you to ponder.
REVIEWED ON 5/17/99 GRADE: B+
Dennis Schwartz: "Ozus' World Movie Reviews"
http://www.sover.net/~ozus
© ALL RIGHTS RESERVED DENNIS SCHWARTZ
The review above was posted to the
rec.arts.movies.reviews newsgroup (de.rec.film.kritiken for German reviews).
The Internet Movie Database accepts no responsibility for the contents of the
review and has no editorial control. Unless stated otherwise, the copyright
belongs to the author.
Please direct comments/criticisms of the review to relevant newsgroups.
Broken URLs inthe reviews are the responsibility of the author.
The formatting of the review is likely to differ from the original due
to ASCII to HTML conversion.
Related links: index of all rec.arts.movies.reviews reviews


Overview
Run API calls in bulk.
Summary
This request will run a sequence of API requests within one query. The requests are executed sequentially and their results
are returned as one response. Some requests may return failure code, that does not interrupt the execution of the batch,
and the overall request will still be considered successful.
Request Arguments
| Name |
Type |
Description |
Required |
|
requests
|
Array
|
The list of requests
|
True
|
Each of the requests can have the following fields:
| Name |
Type |
Description |
Required |
|
url
|
String
|
The request URL, starting with version.
|
True
|
|
data
|
JSON String
|
The data for the POST/PUT body. Must be a JSON-encoded string.
|
False
|
|
headers
|
Array
|
The request headers
|
False
|
|
method
|
String
|
The HTTP method (default is GET)
|
False
|
Request Example
{"requests":
[
{
"url": "/v10/Accounts", "method": "POST", "data": "{\"name\": \"test123\"}"
},
{
"url": "/v10/Accounts", "method": "GET"
}
]
}
Response
The response will contain an array of response objects, each of them will correspond to the individual request. The following fields are in the response objects:
| Name |
Type |
Description |
|
contents
|
Array or String
|
The response contents, can be JSON object or string depending on what the individual request is supposed to return.
|
|
headers
|
Array
|
The response headers
|
|
status
|
Integer
|
HTTP status code of the response. Will be 2XX for successful requests and 4XX or 5XX for errors.
|
Response Example
[
{
"contents": {
"my_favorite": false,
"following": true,
"id": "7d2e21a6-8a76-a74f-bb53-535620211304",
"name": "test123",
"date_entered": "2014-04-22T03:56:24-04:00",
"_module": "Accounts"
},
"headers": [],
"status": 200
},
{
"contents": {
"next_offset": -1,
"records": [
{
"my_favorite": false,
"following": true,
"id": "7d2e21a6-8a76-a74f-bb53-535620211304",
"name": "test123",
"date_entered": "2014-04-22T03:56:24-04:00",
"date_modified": "2014-04-22T03:56:24-04:00",
}
]
},
"headers": [],
"status": null
}
]
Change Log
| Version |
Change |
|
v10
|
Added /bulk POST endpoint.
|


Misa:
Do you have anything to say to me?
What? Rafforty sent you?
Well, he doesn't want to see me, I guarantee you that!
....
Would you give this letter to Rafforty? I need him to read it immediately!
But please, do not read it yourself!
This is none of your business!
Oh, Rafforty...


The shoppingcart contains a number of tricks and "preferred" ways to code different typical solutions to servers side state applications. The source itself resides in the www/shoppingcart directory in the source code tree. A link to the source itself to view from the browser.
The source of all yaws pages (including example index.yaws) look very similar in this application, specifically
out(A) -> case shopcart:top(A) of ok -> shopcart:index(A); X -> X end.
All code, including the head containing the link to the stylesheet is dynamically generated. The first function in all code snippets in yaws files is always a call to shopcart:top(A)
The top/1 function will check the cookie and if a cookie which is associated to an active session is found, the request is granted, otherwise the login page is displayed by the shopcart:login(A) function.
The last item displayed by the login function is the atom break. When the yaws server sees the break, it will not process any more data from the yaws page being requested. Thus, we can have the login call at the top of a yaws page and still have subsequent html/yaws code on the same page.
Since the login(A) function is supplied with the Arg of the requested page, the login function will set the path of the requested page in a hidden field in the login form. The code that processes the login form will then issue a redirect to the value of this hidden field if the login in successful.
The use of the ehtml output syntax makes it more convenient to dynamically generate structured content:
It is easier to get the structure right,
It is easier to inject the dynamically generated parts in the structure,
It is much more beautiful.
See the source for a number of "proofs" for this.
The yaws_session_server is designed to facilitate server side state applications. The yaws application writer is supplied with the following capabilities and services:
Truly random cookie generation. Each cookie can subsequently be used to uniquely identify a session.
Maintenance of an opaque application state in an ets table. This state is readily available to the yaws page by means of the cookie.


ACER
Samsung NP900X5L-K02US Notebook 9 15" Laptop (Iron Silver)
Price: $1068.95 & FREE Shipping.
Technical Details
Intel Core i7 2.5 GHz
8.0 GB DDR3
256.0 GB Solid-State Drive
15.0-Inch Screen, Shared
Windows 10 Home


Please click on the location on the map to place a pin on it.You can Zoom in, Zoom Out and even drag the map to any direction you like.
Or you can enter any valid information about your location (Like country Name, city name, ZIP Code)
on the entry box on the top left corner and click on PIN IT.


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Things that are fun
Here's a list of things that are fun
brogramming
good food
good drink
good causes
good people
Matt Cannon
Christy Bennett
Eduardo Manning
Alyssa Cool


Thinking Style
Aquarius is rising in the House of Cancer
According to the test, my GregorC thinking style is Concrete Random AND Abstract Random.
I learn best when; I am able to use trial and error, compete with others, and work independantly. While simultaneously given; broad general guidelines, participate in group activities and maintain friendly relationships.
..Uh. Okay previous edits of this paragraph were, a little snarky. I will instead only say that I think the GregorC stuff is a little flimsy and sounds more like a horoscope than anything you really get much utility out of, but your mileage may vary.
Growth Mindset and Phase 0 So Far.
Hard Things are Hard
I'm not 25 anymore but if I could tell that guy something it would be this:
There's Not Liking Something becasue you don't like it.
And there's not liking it becasue ITS HARD RIGHT NOW.
This idea, I think encapsulates a growth mindset. It pre-supposes that change is possible, it even reminds us that while it may not be fun, it will be worthwhile.
I do not like Chinese Opera. I have relatives who perform it and I have seen it and let me tell you, it is a real challenge. I don't speak Mandarin, its not my culture in the first place, it has nothing in common with anythign I do like and I just have no desire to become someone who would like it anyway.
I don't think it is BAD or EVIL or STUPID. I don't think IT SHOULDN'T EXIST. It's just not my cup of tea. I just don't like it very much
I'm trying to set this up as an example of "I just don't like it".
Skiing, driving stick, a musical instrument, small talk at parties with strangers ..learning to do these things absolutely sucked. But they where totally worthwile.
It was hard, and at the time, I was really not enjoying it. I did not like it. But it passed.
First Three Weeks
Its the little things
Keeping all that in mind, I'm not sure how I feel about HTML and CSS. I think its just frustrating that I'm not very good at it. This will pass and I will get better.
The Ruby stuff in week three was such a relief. First, you aren't so freaked out about design and visual appeal, just getting the answer. There is no visual interpretation to "which one is the shortest string in the array".
But its the small things. A part of me wants to focus on the BIG STUFF. Doing the Challenges.
But there is rather a lot of small stuff. Getting everythign up on Git, getting your web site to point correctly, doing reflections, the final submission on Socrates, arranging Pairing, god god.
all that adds up to a lot of time when you aren't working on the big stuff.
But I am sure that will pass.
But Chinese opera.. no way man.


--- global_arguments : - {name: "name", description: "The loop name. This name must be unique and is used to reference this loop further in the page (see ifloop, elseloop or pageloop)", mandatory: "true"} - {name: "page", description: "The page to display.", example: "page=\"2\""} - {name: "limit", description: "The maximum number of results to display.", example: "limit=\"10\""} - {name: "offset", description: "The first product to display offset. Will not be used if `page` argument is set.", example: "offset=\"1\"", default: "0"} - {name: "backend_context", description: "Determine if loop is use in backend context.", example: "backend_context=\"on\"", default: "false"} - {name: "force_return", description: "force return result for i18n tables even if there is no record", example: "force_return=\"on\"", default: "false"} text_search_arguments : [ {name: "search_term", description: "The term to search", example: "search_term=\"my product\""}, {name: "search_in", description: "A comma separeted list of field in which the search is performed", example: "search_in=\"title\""}, {name: "search_mode", description: "the search mode : `any_word` (search any word separeted by a space), `sentence` (the sentence, anywhere in the field) or `strict_sentence` (the exact sentence)", default: "strict_sentence"} ] global_outputs : { countable : [ { name: "$LOOP_COUNT", description: "the current results index, starting from 1" }, { name: "$LOOP_TOTAL", description: "the total number of results returned by the loop" } ], timestampable : [ { name: "$CREATE_DATE", description: "The creation date of this !OBJECT!" }, { name: "$UPDATE_DATE", description: "The last modification date of this !OBJECT!" } ], versionable : [ { name: "$VERSION", description: "The version number of this {{page.type}}" }, { name: "$VERSION_DATE", description: "The date this version of the !OBJECT! was created" }, { name: "$VERSION_AUTHOR", description: "Reserved for future use" } ] } ---
{% include header.html %} {% include navbar.html %}


A Regulatory Rush by Federal Agencies to Secure Trump’s Legacy
With the president’s re-election in doubt, cabinet departments are scrambling to finish dozens of new rules affecting millions of Americans.
By Eric Lipton Go check his page
WASHINGTON
Facing the prospect that President Trump could lose his re-election bid, his cabinet is scrambling to enact regulatory changes affecting millions of Americans in a blitz so rushed it may leave some changes vulnerable to court challenges.
The effort is evident in a broad range of federal agencies and encompasses proposals like easing limits on how many hours some truckers can spend behind the wheel, giving the government more freedom to collect biometric data and setting federal standards for when workers can be classified as independent contractors rather than employees.
In the bid to lock in new rules before Jan. 20, Mr. Trump’s team is limiting or sidestepping requirements for public comment on some of the changes and swatting aside critics who say the administration has failed to carry out sufficiently rigorous analysis.
Some cases, like a new rule to allow railroads to move highly flammable liquefied natural gas on freight trains, have led to warnings of public safety threats.
Every administration pushes to complete as much of its agenda as possible when a president’s term is coming to an end, seeking not just to secure its own legacy but also to tie the hands of any successor who tries to undo its work.
But as Mr. Trump completes four years marked by an extensive deregulatory push, the administration’s accelerated effort to put a further stamp on federal rules is drawing questions even from some former top officials who served under Republican presidents.
“Two main hallmarks of a good regulation is sound analysis to support the alternatives chosen and extensive public comment to get broader opinion,” said Susan E. Dudley, who served as the top White House regulatory official during the George W. Bush administration. “It is a concern if you are bypassing both of those.”
Administration officials said they were simply completing work on issues they have targeted since Mr. Trump took office in 2017 promising to curtail the reach of federal regulation.
“President Trump has worked quickly from the beginning of his term to grow the economy by removing the mountain of Obama-Biden job-killing regulations,” Russell Vought, the director of the White House Office of Management and Budget, which oversees regulatory policy, said in a statement.
If Democrats take control of Congress, they will have the power to reconsider some of these last-minute regulations, through a law last used at the start of Mr. Trump’s tenure by Republicans to repeal certain rules enacted at the end of the Obama administration.
But the Trump administration is also working to fill key vacancies on scientific advisory boards with members who will hold their seats far into the next presidential term, committees that play an important role in shaping federal rule making.
Few of the planned shifts have drawn more scrutiny and criticism than a Labor Department proposal to set federal standards for defining when a worker is an independent contractor or an employee, a step that could affect millions of workers.
Pfizer Says It Won’t Seek Vaccine Authorization Before Mid-November
Friday’s announcement represents a shift in tone for the company and its leader, who has repeatedly emphasized the month of October in interviews and public appearances.
By Katie Thomas and Noah Weiland
The chief executive of Pfizer said on Friday that the company would not apply for emergency authorization of its coronavirus vaccine before the third week of November, ruling out President Trump’s assertion that a vaccine would be ready before Election Day on Nov. 3.
In a statement posted to the company website, the chief executive, Dr. Albert Bourla, said that although Pfizer could have preliminary numbers by the end of October about whether the vaccine works, it would still need to collect safety and manufacturing data that will stretch the timeline to at least the third week of November.
Close watchers of the vaccine race had already known that Pfizer wouldn’t be able to meet the requirements of the Food and Drug Administration by the end of this month. But Friday’s announcement represents a shift in tone for the company and its leader, who has repeatedly emphasized the month of October in interviews and public appearances.
In doing so, the company had aligned its messaging with that of the president, who has made no secret of his desire for an approved vaccine before the election. He has even singled out the company by name and said he had talked to Dr. Bourla, whom he called a “great guy.”
What Does ‘Negative’ on a Coronavirus Test Really Mean?
President Trump’s recent tests are a reminder that although many products exist, none test for infectiousness.
ByKatherine J. Wu
In a flurry of memos released this week and last, the White House physician, Dr. Sean Conley, stated that President Trump no longer posed a transmission risk to others — an assessment, he noted, that was largely precipitated by the results of a bevy of “advanced diagnostics.” The declarations have helped clear Mr. Trump to return to the campaign trail, including a town-hall-style event hosted by NBC News on Thursday evening.
 But most have based such assessments on the trajectory of the president’s symptoms — not the results of his tests.
There exists no test that can definitively determine whether someone who caught the coronavirus is still contagious. “We do not have a test for cure, and we do not have a test for infectiousness,” said Omai Garner, a clinical microbiologist at the University of California, Los Angeles.


Motivation:
The pattern Unified Access describes a type safe access (reading and writing) to values of a map object (object that maps keys to values) for a such case where values have got different data types.Structure (class model):
The model contains two classes:- MyMap - a class of data store
- Property - an immutable class is a key of the map which provides a type-safe public methods for reading and writting of values
Implementation in Java language
The implementation requires a generic type language support that's why the Java SE 5.0 or more must be used.A MyMap class implements a simple map behavior and it contains two keys NAME and AGE.
import java.util.*; public class MyMap { public static final Property<String> NAME = new Property<String>(); public static final Property<Integer> AGE = new Property<Integer>(); private Map<Property, Object> data = new HashMap<Property, Object>();All keys are an instance of a Property class, however each of them will provide a value of a different type.
protected Object readValue(Property key) { return data.get(key); } protected void writeValue(Property key, Object value) { data.put(key, value); } }
If both classes (MyMap and Property) will be located in the same package, then it is possible to retain their visibility to protected so that no strange object can to use them.
public class Property<VALUE> {This pattern allows a value access by a methods of key only. It is possible to verify the method setValue accepts declared value type to write into map object and then method getValue returns the same data type only.
public void setValue(MyMap map, VALUE value) { map.writeValue(this, value); } public VALUE getValue(MyMap map) { return (VALUE) map.readValue(this); } }
MyMap map = new MyMap();
MyMap.NAME.setValue(map, "Peter Prokop"); MyMap.AGE .setValue(map, 22); String name = MyMap.NAME.getValue(map); int age = MyMap.AGE.getValue(map); System.out.println(name + " is " + age);
Usage:
The pattern design can be used like a special delegate of the POJO object. It's useful in case there is to need to refer a set of get method and to avoid a non-type value access by reflection API. Here are some samples of usage in a Java language- The sort method takes a list of items and its keys (e.g. NAME, AGE) for the ordering. A GenericSorter implementation builds an appropriate comparator oneself .
interface GenericSorter { public void sort(List<MyMap> items, Property ... keys); }
- a child of a TableModel interface, which can to take a list of columns by an argument of a method
interface GenericTableModel<MyMap> extends TableModel { public void setColumns(Property ... columns); }
- Because all values of the class MyMap are saved by a single method called writeValue(), it is possible to implement
one validation check for all values. In case the MyMap class becomes a parrent of more classes (they are written in the same pattern desing),
so the method writeProperty() will become a central writing point for all hierarchy of classes.
The point is a true place for inserting common validations, conversions or listeners.
Next method writeValue() can check NULL value and throws an exception in this case.protected Object writeValue(Property key, Object value) { if (value==null) { throw new IllegalArgumentExeption(); } super.writeValue(key, value);
} - Type safe factory can be implemented by removing the method writeValue() and by different implementation of the original method readValue().
Sample of the use:
DomainObject do = MyMap.DOMAIN_KEY.newInstance(map); // renamed method getValue()
Both projects are available include a source code on SourceForge.net under an open license since 2007-10-24.
The pattern design was slightly extended; a final solution is described by two interfaces Another projects using the pattern:
About Author:
- You can write questions or other messages to me by a blog http://ujorm.blogspot.com/.
- There exists some more free applications on an authors home page http://ponec.net/ .
- A contact e-mail<EMAIL_ADDRESS>PPone(c) 2007-2011


Amber: We should play something really American for the 4th. You know, like Rick Springsteen.Me: Um, you mean Bruce?Amber: O_o 7/4/2017, 11:03:27 PM Favs: 5 Retweets: 0 link


Cacti - T. pachanoi & Alcohol
It started out as a normal day. It was a hot summer morning and I was home along surfing the internet. As usual I was reading experience reports and doing some research on different hallucinogenic substances. I have been very interested in mind-altering, naturally occuring substances for sometime. I'm also very into trying new things that not many are willing to try. Some of which include Dipenhydrinate (Dramamine), Datura, Amanitas, and Belladonna. I stumbled across some information on legal Cacti that contain moderate amounts of mescaline.
I eagerly looked up the nearest cactus shop in my area. I informed my friend about my discovery, (he has never done any hallucinogens) and he was more than willing to try this with me. I journeyed to the Cactus Shop and bought a 12 inch piece of San Pedro...very expensive...it was around 70 bucks (I probably got ripped off since the guy could tell I had no knowledge of cacti whatsoever.)
We decided that the next day we would blend up a mixture of the cactus and some ginseng. That evening as I was about to get in the shower before a night out with some friends, I began to get really excited about trying this new substance. I couldn't wait until the next day and I began slicing up the cactus into spears and eating everything but the core and the skin. I was VERY anxious, and felt VERY nervous about what I was doing. I had NO sitter, NO preparation, and I was planning on leaving my house to go to an unknown environment.
I left my house, drove over to my friend's place, and by the time I got there, things began to happen. I felt giddy, warm inside. My jaw was clenching, my palms were sweaty and my skin was clammy. I told my friend what I had did and that I didn't want to leave his house. I felt so STRANGE. Things felt new, like I just moved there. Everything had a strange personification attached to it. Like everything was alive. Things didn't move or talk, but I just knew they were all alive.
I sat down with him and began drinking beer. I didn't even think anything of it at the time. I was in a kind of trance where I knew what I was doing, but it didn't register that it was actually ME and that it was actually REAL. I remember just sitting there for what seemed like days...never getting bored, just looking at everything like I was from Mars. I kept drinking and kept going to the bathroom and that was it. I ended up having 8 beers before I passed out.
I awoke the next day at my friend's place...and I felt HORRIBLE. The trip itself, for me, was amazing. I didn't have a good set or setting and i could have hurt myself VERY badly. Have fun
Experience Reports are the writings and opinions of the individual authors who submit them.
Some of the activities described are dangerous and/or illegal and none are recommended by Erowid.


1.WELCOME TO REJOLT... Click Here 2.NEW SEMESTER STARTS FROM?? Click Here 3.DO YOU KNOW ABOUT GOOGLE FOUNDERS??


Luvit 2.5.6 Documentation
Table of Contents
- Readline
- Class: readline.History
- Class readline.Editor
- Editor:refreshLine()
- Editor:insertAbove(line)
- Editor:insert(line)
- Editor:moveLeft()
- Editor:getHistory(delta)
- Editor:backspace()
- Editor:delete()
- Editor:swap()
- Editor:deleteLine()
- Editor:deleteEnd()
- Editor:moveHome()
- Editor:moveEnd()
- Editor:deleteWord()
- Editor:jumpLeft()
- Editor:jumpRight()
- Editor:clearScreen()
- Editor:beep()
- Editor:complete()
- Editor:onKey(key)
- Editor:readLine(prompt, callback)
- readline.readLine(prompt[, options], callback)
Readline#
A readline interface for terminals in pure lua.
local readline = require('readline')


These should render checkmarks, not X's
WOFF with TTF: X
WOFF with CFF: X
WOFF2 with TTF: X
WOFF2 with CFF: X
TTF: X
OTF: X


{% include admin-nav.html %}
Mustafa Kemal Wiryawan
Director of Marketing
NIK<PHONE_NUMBER>97
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Aizawl grasp last-gasp winner against valiant Indian Arrows
by PTIBy: PTI | Vasco | Published: December 9, 2019 10:45:01 pm
Joe Zoherliana in action. (Source: I League)
Aizawl FC overcame a spirited young Indian Arrows 2-1 to register their first win of the 13th Hero I-League season at the Tilak Maidan here on Monday.
The visitors from Mizoram rode on strikes from William Lalnunfela (64th minute) and Joe Zoherliana (90+4) to snatch a dramatic victory in the stoppage time after Vikram Partap Singh had equalised for the hosts in the 81st minute.
On a quest for their first win, both sides kicked-off the proceedings with an intent to press hard.
The young Arrows, in the initial minutes, exhibited neat passes and structured movement. Aizawl, on the other hand, displayed fine defensive solidarity, with Juuko Kassaga being a towering figure throughout the game, constantly frustrating the likes of Vikram and Harmanpreet.
In the 31st minute, a beautifully lobbed pass by Rochharzela was chested down by Abdoulaye Kanoute with exquisite control and the Malian forward had a crack on goal but was denied in spectacular fashion by Samik Mitra.
Minutes before the break, a miscued headed clearance by Ajin Tom fell to the feet of Kanoute but he squandered the golden opportunity to put Aizawl ahead, as his effort went wide off the mark.
In the second half, the Arrows nearly found an opening when Vikram was seemingly brought down by Kassaga inside the box, but referee Rosario Fernandes waved away all appeals for a penalty.
However, it was Aizawl who took the lead in the 64th minute. In an attempt to clear a cross from Isak Vanlalruatfela, Saurabh Meher deflected the delivery to the path of William Lalnunfela, and the substitute made no mistake tapping it in.
Venkatesh’s side displayed great character and started dictating the tempo of the game. They were duly rewarded when a beautifully plotted run by Vikram led to him being through on goal and he made no mistake in earning a well-deserved equaliser for the Arrows.
However, all of Indian Arrows’ good work was undone. With four minutes added on, Aizawl continued to overload the final third.
Lalnunfela broke through on the right inside the Arrows’ box and delivered a measured cross which was met by a leaping Joe Zoherliana with his head, to seal a dramatic 2-1 win for Stanley Rozario’s side.
With the victory, Aizawl move to third place in the Hero I-League table with four points while Indian Arrows remain at the bottom with two losses from as many games.
Arrows goalkeeper Samik Mitra was adjudged to be the Hero of the Match for his calm and confident display under the woodwork.
Indian Arrows will now face former champions Punjab FC on December 16, while Aizawl FC will host reigning champions Chennai City FC on December 17.
For all the latest Sports News, download Indian Express App


Technical page created for the Python programming language, documenting syntax, variables, control flow, functions, and libraries
Normal Borlaug Tribute Page
A tribute page documenting major events throughout agronomist Norman Borlaug's life
Product Landing Page
A page created as a mock product landing page for a cheese product. Sections include: types of cheese, how cheese is made, and a mock email subscription section
Survey Form Page
A mock form page created to gather demographic information from users


Here is a list my current public pet projects.
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| Personal Website |
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Link |
| EST |
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Link |
| H-S Watchtower |
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Link |
| Paperwallet-Front |
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<tt>On Mon, Oct 20, 2008 at 6:03 PM, <<a href="mailto:benoitlaurent<EMAIL_ADDRESS>wrote:

>> More precisely, I am looking for a maximal consistent assignment.

>> Is it natively managed in GECODE ?

>No, it is not implemented in Gecode.

>> I made a first attempt : I added a dummy value in the domain of each

>> variable. During the search process, I put constraints on the number of

>> "unassigned variables" to minimise it. Is it the proper way to deal with

>> partial consistent assignment in GECODE ?

>Given that a partial consistent assignment/maximal consistent

>assignment is more of a meta-property of a constraint problem, I would

>not try to encode it into the problem. Instead I would modify the

>search procedure so that it records the maximal consistent assignments

>it finds.

Your answer rises two questions.

1) I used the number of "unassigned variables" to constrain the search and to speed up

the branch-and-bound process. If I do not use dummy values any more, I won't be able to do so.

2) As I said before, I am not an expert with GECODE. How can I record partial assignments ?

Thanks in advance.

Benoît

</tt>


[1]
N/A Not tested; N/A Not tested
[2]
Just about everything is great.; NO SLOW MOTION! NO SINGLE FRAME ADVANCE!!


--- ---
There are plenty of books, videos, and online resources for developing iOS apps. Despite the fact that iPhone and iPad apps require a Mac for code development, there is little information about actually creating native Mac applications. The examples provided below demonstrate various aspects of Mac app development using the latest versions of Swift and SwiftUI. Hopefully these examples will provide a useful resource for Mac developers. The repository for this website and the example code is available on GitHub.
Questions, comments, and other feedback can be sent via Email or Twitter. Or submit an Issue on GitHub. If you would like to support this project, donations can be made to Gavin Wiggins using GitHub Sponsors, Patreon, Buy Me A Coffee, or PayPal. Thank you 😄.
Gavin Wiggins © 2021


nips nips2007 nips2007-62 nips2007-62-reference knowledge-graph by maker-knowledge-mining
Source: pdf
Author: Choon H. Teo, Amir Globerson, Sam T. Roweis, Alex J. Smola
Abstract: Incorporating invariances into a learning algorithm is a common problem in machine learning. We provide a convex formulation which can deal with arbitrary loss functions and arbitrary losses. In addition, it is a drop-in replacement for most optimization algorithms for kernels, including solvers of the SVMStruct family. The advantage of our setting is that it relies on column generation instead of modifying the underlying optimization problem directly. 1
[1] Y. Abu-Mostafa. A method for learning from hints. In S. J. Hanson, J. D. Cowan, and C. L. Giles, editors, NIPS 5, 1992.
[2] C. Bhattacharyya, K. S. Pannagadatta, and A. J. Smola. A second order cone programming formulation for classifying missing data. In L. K. Saul, Y. Weiss, and L. Bottou, editors, NIPS 17, 2005.
[3] C. J. C. Burges. Geometry and invariance in kernel based methods. In B. Sch¨ lkopf, C. J. C. Burges, and o A. J. Smola, editors, Advances in Kernel Methods — Support Vector Learning, pages 89–116, Cambridge, MA, 1999. MIT Press.
[4] N. Dalvi, P. Domingos, Mausam, S. Sanghai, and D. Verma. Adversarial classiﬁcation. In KDD, 2004.
[5] D. DeCoste and B. Sch¨ lkopf. Training invariant support vector machines. Machine Learning, 46:161– o 190, 2002.
[6] M. Ferraro and T. M. Caelli. Lie transformation groups, integral transforms, and invariant pattern recognition. Spatial Vision, 8:33–44, 1994.
[7] A. Globerson and S. Roweis. Nightmare at test time: Robust learning by feature deletion. In ICML, 2006.
[8] T. Graepel and R. Herbrich. Invariant pattern recognition by semideﬁnite programming machines. In S. Thrun, L. Saul, and B. Sch¨ lkopf, editors, NIPS 16, 2004. o
[9] G. E. Hinton. Learning translation invariant recognition in massively parallel networks. In Proceedings Conference on Parallel Architectures and Laguages Europe, pages 1–13. Springer, 1987.
[10] T. Joachims. Training linear SVMs in linear time. In KDD, 2006.
[11] Y. LeCun, L. D. Jackel, L. Bottou, A. Brunot, C. Cortes, J. S. Denker, H. Drucker, I. Guyon, U. A. M¨ ller, E. S¨ ckinger, P. Simard, and V. Vapnik. Comparison of learning algorithms for handwritten digit u a recognition. In F. Fogelman-Souli´ and P. Gallinari, editors, ICANN, 1995. e
[12] S. Shalev-Shwartz, Y. Singer, and N. Srebro. Pegasos: Primal estimated sub-gradient solver for SVM. In ICML, 2007.
[13] P. Simard, Y. LeCun, and J. Denker. Efﬁcient pattern recognition using a new transformation distance. In S. J. Hanson, J. D. Cowan, and C. L. Giles, editors, NIPS 5, 1993.
[14] B. Taskar, C. Guestrin, and D. Koller. Max-margin Markov networks. In S. Thrun, L. Saul, and B. Sch¨ lkopf, editors, NIPS 16, 2004. o
[15] C.H. Teo, Q. Le, A.J. Smola, and S.V.N. Vishwanathan. A scalable modular convex solver for regularized risk minimization. In KDD, 2007.
[16] I. Tsochantaridis, T. Joachims, T. Hofmann, and Y. Altun. Large margin methods for structured and interdependent output variables. J. Mach. Learn. Res., 6:1453–1484, 2005. 8


First web site with Github
Amazon
Codecademy
Freecodecamp
This is a link to GitHub!
Hello there, awesome person! a few words for my html lessons in github


A review of Advanced Regression Models with SAS and R
Title: Advanced Regression Models with SAS and R
By Olga Korosteleva
CRC Press, 2019
Pages: xiii + 310
This book can be summarized as a cookbook of various types of regression models and their implementations with SAS and R statistical software. The chapters follow a specific pattern on the presentation starting with a brief introduction to the theory behind the technique, followed by the SAS and R implementations.
The theory is not detailed, but anyone with some mathematical statistics background will be able to review them quickly and understand them sufficiently to appreciate them as they are applied to solve practical problems.
Then a real data use case is presented and solved with SAS and R.
The SAS portion is covered with discussion while the same is implemented in R without further discussion. That is to say, anyone wanting to follow the R portion only would still be benefited to review the SAS implementations for added discussions.
At the end of each chapter, there are exercise problems that interested readers and students would find useful.
The book has a companion website with all the data in CSV format. A solution manual to the exercise problems is available for instructors.
The book starts with an introduction to the general and generalized linear regression. Then it presents the regression model for responses within the right-skewed distribution. Here the box Cox power transformation is discussed. Important regression models discussed here are the gamma model.
Then regression models for binary response are discussed in chapter 3. The binary response models discussed include logistic regression, probit regression, and complementary log log model. Particularly useful discussion includes the situations where these models can be applied. The discussions are to the point with useful details. Then the regression models for categorical responses are presented. Also presented are the regression models for count responses, including Poisson models, zero-inflated, zero-truncated, and Hurdle Poisson models, a generalized linear regression model for repeated measures data, and hierarchical regression models.
In summary, the book is a useful reference for practitioners who frequently apply regression techniques to their data. Even for seasoned statisticians, this book is convenient. It can serve as a quick reference on how to do a particular regression model along with SAS and R codes. It is especially useful for R users who will find all the various packages needed for these regression models.
Although the book covers model fitting and interpretation of estimated regression parameters, model building and variable selection are not covered due to space constraints. Also, not covered are model diagnostics.
This book is unique in the sense that it provides recipes for almost all types of regression models. The author intelligently avoided much about the theory but did not ignore them altogether. The theory is presented at a minimum level and in an amount that is necessary for those interested. However, they can be totally skipped, and someone interested only in the implementations would find this book a convenient reference.
Acknowledgements
I want to thank the CRC publisher and the International Society for Clinical Biostatistics for arranging a copy of the book for review.


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Hello Family & Friends!
As our big day approaches, we wanted to provide some additional details on items we've gotten some questions about. Please share this info with any guests that might find this helpful.
Thursday, November 24th
First off, we'd like to welcome you all to LA with an informal 'Thanksgiving" dinner on Thursday night. We will be getting dinner delivered to our Airbnb which is less than a 1/2 mile from the Marriott hotel (address below). We know most people will be arriving at different times throughout the day and will be getting settled in for the weekend, so please feel free to stay as little or as long as you would like. If you need transportation back and forth from the hotel, please do let us know!
Friday, November 25th
For Harsh's family, there will be a Mandap Muhurat ceremony starting at 8:30AM followed by his Pithi Vidhi. Both will take place in one of the suites at the Marriott (the room number is still TBD, but we will get this info out once available). Breakfast will be served during this time as well.
For our Mehndi Party, we've rented out an office/loft suite called Seek U (address below). It's in the same building as the Chase Bank. To access the space: enter through the back of the building & find the door marked "Offices & Lofts" closest to the restaurant patio. The door code is *1976 and then take the elevator up to the PH Level. The event will take place from 11:00 AM - 1:00 PM. We will have mehndi artists, games, and lunch for everyone to enjoy. Again, we can arrange for transportation back and forth from the hotel for those who would like.
For our Raas-Garba, the event will take place at the Marina City Club which is about a 1/2 mile away from the Marriott hotel. From Admiralty Way, turn onto Marina City Drive (it is a light) and you will see a guard shack. Let them know you are here for the Shah/Shah event at the Marina City Club and they will direct you to the right where you will find the complimentary valet parking. The event will be held on the 3rd floor of the building. The event will be indoors and will take place from 6:00 PM to 10:30 PM. Be prepared to enjoy performances, dinner, and dance the night away!
Saturday, November 26th
We will start the day at 9:00AM with breakfast at our Airbnb once again for anyone who would like to join. The rest of the day will be spent at the Marriott hotel. The baraat will begin promptly at 1:00PM. We kindly ask that you arrive by 12:45PM as the valet area will be blocked from that point onward. Harsh's family will gather at the far end of the driveway (where the valet entrance is) for the start. The baraat will be received by Ami's family & friends near the front entrance of the hotel at 1:30 PM. Guests will then be directed to the top floor of the hotel where a light lunch will be served and the wedding ceremony will begin at 2:00 PM. Please do keep in mind that both the ceremony and the cocktail hour will take place outdoors, weather permitting. The reception will begin in the Bayview Ballroom at 6:30 PM where we will spend the rest of the night with food, dance, and celebration!
Other Notes
Our doors are open! - Throughout the entire weekend, whether it's breakfast, extra safety pins, or you just want to chat please feel free to visit our Airbnb or give us a call!
Take advantage of the area - Marina del Rey, Venice, and Santa Monica are all minutes away and have so much to offer! We expect clear weather all weekend, so soak up the LA sunshine and explore!
Share your photos - Tag us using #shahsforever and #shahsquared2016 so we can follow the special memories you share!
For guests that are staying at the Marriott - please ensure you receive a welcome bag upon arrival!
Important Addresses
Airbnb : 682 Oxford Avenue, Venice, CA 90291
Seek U : 631 Wilshire Blvd, Suite 4A, Santa Monica, CA 90401
Marina City Club : 4333 Admiralty Way, Marina Del Rey, CA 90292
Marriott Marina del Rey : 4100 Admiralty Way, Marina Del Rey, CA 90292
We cannot wait to see you all in one week!
With Love,
Ami & Harsh


Examples
Contain
Contain will make sure that the entire image is displayed within the element, regardless of the elements dimensions.
Cover
Cover will make sure the entire element is covered - but won't guarantee that the entire image will be shown.
Reference
MDN - Background Size
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fanplot: Visualisation of Sequential Probability Distributions Using Fan
Charts
Visualise sequential distributions using a range of plotting
styles. Sequential distribution data can be input as either simulations or
values corresponding to percentiles over time. Plots are added to
existing graphic devices using the fan function. Users can choose from four
different styles, including fan chart type plots, where a set of coloured
polygon, with shadings corresponding to the percentile values are layered
to represent different uncertainty levels.
Downloads:
Reverse dependencies:
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Done
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Below are some sample tables for presenting statistical information. Although some of them are conventional in the social sciences (e.g., the correlation tables), it is important to remember that these are only examples. You will encounter many variations of these tables as you read scientific work in your substantive area. There may be conventions that are adopted in some areas and not in others. Pay attention to how scholars in your discipline present tabular information.
These examples were created using the data sets usnews.csv and riverview.csv.
Studies often present summary statistics such as the mean and standard deviation. If you only have one or two variables for which you are presenting summary statistics it is often better to present these in the prose of your manuscript. If you have several variables, the information is typically better conveyed in a table. Here is an example of a table presenting summary statistics for a sample of graduate schools of education.
| Measure | M | SD |
|---|---|---|
| Peer rating | 3.3 | 0.5 |
| Acceptance rate for Ph.D. students | 40.1 | 20.2 |
| Enrollment | 969.8 | 664.9 |
| GRE score (verbal) | 154.9 | 3.7 |
| GRE score (quantitative) | 151.0 | 4.4 |
Here are a few things to note about the table:
doc_accept
and peer
.)Here is another table presenting the means and standard deviations, but this time the statistical summaries are conditioned on sex.
| Measure | M | SD | M | SD |
|---|---|---|---|---|
| Education level (in years) | 16.0 | 4.0 | 16.0 | 5.0 |
| Seniority (in years) | 14.0 | 7.0 | 16.0 | 7.0 |
| Income (in thousand of U.S. dollars) | 48.9 | 13.3 | 59.9 | 14.2 |
This table also presents the means and standard deviations conditioned on sex, but it also includes confidence intervals for the means. It also presents the conditioning in separate rows rather than separate columns.
| Measure | M | SD | LL | UL |
|---|---|---|---|---|
| Education level (in years) | ||||
| Female | 16.0 | 4.0 | 13.7 | 17.8 |
| Non-female | 16.0 | 5.0 | 13.5 | 19.1 |
| Seniority (in years) | ||||
| Female | 14.0 | 7.0 | 10.7 | 17.5 |
| Non-female | 16.0 | 7.0 | 11.5 | 19.9 |
| Income (in thousand of U.S. dollars) | ||||
| Female | 48.9 | 13.2 | 42.3 | 55.5 |
| Non-female | 59.9 | 14.2 | 51.7 | 68.1 |
Similar to presenting summary statistics, if you only have one or two correlation coefficients to present, it is best to present these in the prose of your manuscript. If you have several correlations the information is typically better conveyed in a table. Here is an example of a table presenting correlation coefficients for our sample of graduate schools of education.
| Measure | 1 | 2 | 3 | 4 | 5 |
|---|---|---|---|---|---|
|
— | ||||
|
-.22 | — | |||
|
.00 | .09 | — | ||
|
.44 | -.50 | -.14 | — | |
|
.33 | -.30 | -.19 | .50 | — |
Here are a few things to note about the table:
Here is an alternative table presenting both the summary statistics of each variable and the intercorrelations. Combining the information into a single table can be useful when trying to save space in a manuscript.
| Measure | M | SD | 1 | 2 | 3 | 4 | 5 |
|---|---|---|---|---|---|---|---|
|
3.3 | 0.5 | — | ||||
|
40.1 | 20.2 | -.22 | — | |||
|
969.8 | 664.9 | .00 | .09 | — | ||
|
154.9 | 3.7 | .44 | -.50 | -.14 | — | |
|
151.0 | 4.4 | .33 | -.30 | -.19 | .50 | — |
Typically the results of the “final” adopted model are presented in a table. However, if there are only one or two predictors in the model, it is best to present these in the prose of your manuscript rather than a table. If you have several predictors the information is often better conveyed in a table. Here is an example of a table presenting the results from a fitted regression model for our sample of graduate schools of education.
| Predictor | B | SE | t | p |
|---|---|---|---|---|
| Acceptance rate for Ph.D. students | 0.00 | 0.003 | 0.02 | 0.983 |
| GRE score (verbal) | 0.05 | 0.018 | 3.01 | 0.003 |
| GRE score (quantitative) | 0.02 | 0.014 | 1.31 | 0.193 |
| Constant | -7.72 | 2.729 | -2.83 | 0.006 |
Here are a few things to note about the table:
doc_accept
and peer
.)Alternatively, a regression table can include the confidence interval for each of the coefficients in addition to (or in place of!) the p-values. This addresses the uncertainty in the estimates.
| Predictor | B | SE | LL | UL |
|---|---|---|---|---|
| Acceptance rate for Ph.D. students | 0.00 | 0.003 | -0.01 | 0.006 |
| GRE score (verbal) | 0.05 | 0.018 | 0.02 | 0.089 |
| GRE score (quantitative) | 0.02 | 0.014 | -0.01 | 0.045 |
| Constant | -7.72 | 2.729 | -13.13 | -2.316 |
Another variation on this table includes the standardized regression coefficients.
| Predictor | B | β | t | p |
|---|---|---|---|---|
| Acceptance rate for Ph.D. students | 0.00 | -0.41 | 0.02 | 0.983 |
| GRE score (verbal) | 0.05 | 0.002 | 3.01 | 0.003 |
| GRE score (quantitative) | 0.02 | 0.33 | 1.31 | 0.193 |
| Constant | -7.72 | — | -2.83 | 0.006 |
In many analyses, you may need to present the results from a set of fitted models. Here is an example of a table presenting the results from a set of fitted regression models for our sample of graduate schools of education.
| Model A | Model B | Model C | |
|---|---|---|---|
| GRE score (verbal) | 0.056 | 0.011 | 0.0003 |
| (0.035, 0.078) | (-0.024, 0.046) | (-0.032, 0.032) | |
| GRE score (quantitative) | 0.047 | 0.037 | |
| (0.017, 0.076) | (0.010, 0.063) | ||
| Acceptance rate for Ph.D. students | -0.010 | ||
| (-0.014, -0.006) | |||
| Constant | -5.396 | -5.488 | -1.860 |
| (-8.704, -2.089) | (-8.683, -2.294) | (-5.056, 1.335) | |
| R2 | 0.182 | 0.243 | 0.385 |
| RMSE | 0.444 | 0.429 | 0.388 |
Here are a few things to note about the table:
doc_accept
and peer
.)If you have many models to present, use a landscape orientation on your page.
If you must present p-values, do not include stars indicating statistical significance (as per the American Statistical Association’s recommendation). Include the p-value directly in the table.
| B | SE | p | B | SE | p | B | SE | p | |
|---|---|---|---|---|---|---|---|---|---|
| GRE score (verbal) | 0.056 | 0.011 | <0.001 | 0.011 | 0.018 | 0.531 | 0.0003 | 0.016 | 0.986 |
| GRE score (quantitative) | 0.047 | 0.015 | 0.002 | 0.037 | 0.014 | 0.009 | |||
| Acceptance rate for Ph.D. students | -0.010 | 0.002 | <0.001 | ||||||
| Constant | -5.396 | 0.056 | 0.002 | -5.488 | 1.630 | 0.001 | -1.860 | 1.630 | 0.256 |
| R2 | 0.182 | 0.243 | 0.385 | ||||||
| RMSE | 0.444 | 0.429 | 0.388 |


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#include <tiffio.h> #define TIFFGetR(abgr) ((abgr) & 0xff) #define TIFFGetG(abgr) (((abgr) >> 8) & 0xff) #define TIFFGetB(abgr) (((abgr) >> 16) & 0xff) #define TIFFGetA(abgr) (((abgr) >> 24) & 0xff) int TIFFReadRGBATile(TIFF* tif, uint32 x, uint32 y, uint32 * raster )
The x and y values are the offsets from the top left corner to the top left corner of the tile to be read. They must be an exact multiple of the tile width and length.
Note that the raster is assume to be organized such that the pixel at location (x,y) is raster[y*width+x]; with the raster origin in the lower-left hand corner of the tile. That is bottom to top organization. Edge tiles which partly fall off the image will be filled out with appropriate zeroed areas.
Raster pixels are 8-bit packed red, green, blue, alpha samples. The macros TIFFGetR, TIFFGetG, TIFFGetB, and TIFFGetA should be used to access individual samples. Images without Associated Alpha matting information have a constant Alpha of 1.0 (255).
See the TIFFRGBAImage(3T) page for more details on how various image types are converted to RGBA values.
Palette image colormaps that appear to be incorrectly written as 8-bit values are automatically scaled to 16-bits.
TIFFReadRGBATile is just a wrapper around the more general TIFFRGBAImage(3T) facilities. It's main advantage over the similar TIFFReadRGBAImage() function is that for large images a single buffer capable of holding the whole image doesn't need to be allocated, only enough for one tile. The TIFFReadRGBAStrip() function does a similar operation for stripped images.
Sorry, can not handle %d-bit pictures. The image had BitsPerSample other than 1, 2, 4, 8, or 16.
Sorry, can not handle %d-channel images. The image had SamplesPerPixel other than 1, 3, or 4.
Missing needed "PhotometricInterpretation" tag. The image did not have a tag that describes how to display the data.
No "PhotometricInterpretation" tag, assuming RGB. The image was missing a tag that describes how to display it, but because it has 3 or 4 samples/pixel, it is assumed to be RGB.
No "PhotometricInterpretation" tag, assuming min-is-black. The image was missing a tag that describes how to display it, but because it has 1 sample/pixel, it is assumed to be a grayscale or bilevel image.
No space for photometric conversion table. There was insufficient memory for a table used to convert image samples to 8-bit RGB.
Missing required "Colormap" tag. A Palette image did not have a required Colormap tag.
No space for tile buffer. There was insufficient memory to allocate an i/o buffer.
No space for strip buffer. There was insufficient memory to allocate an i/o buffer.
Can not handle format. The image has a format (combination of BitsPerSample, SamplesPerPixel, and PhotometricInterpretation) that TIFFReadRGBAImage can not handle.
No space for B&W mapping table. There was insufficient memory to allocate a table used to map grayscale data to RGB.
No space for Palette mapping table. There was insufficient memory to allocate a table used to map data to 8-bit RGB.


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Hi {user}, Thank you for taking the time to review {product}! Please confirm that you wrote this review so that our customers know to trust it. We won’t show your email address. |


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Go to the source code of this file.
Defines | |
| #define | SGI 0 |
| #define | ORIGIN 1 |
| #define | DEC 2 |
| #define | CRAY_T3E 3 |
| #define | SUN 4 |
| #define | PTHREAD 5 |
| #define | IBM 6 |
-- SuperLU MT routine (version 1.0) -- Univ. of California Berkeley, Xerox Palo Alto Research Center, and Lawrence Berkeley National Lab. August 15, 1997
These macros define which machine will be used.
| #define CRAY_T3E 3 |
| #define DEC 2 |
| #define IBM 6 |
| #define ORIGIN 1 |
| #define PTHREAD 5 |
| #define SGI 0 |
| #define SUN 4 |


|
Attribute
|
Description
|
Type
|
Requirement
|
|
description
|
Sets a description of the current data type.
|
String
|
Optional
|
|
id
|
Sets an id that can be used to reference this element.
|
String
|
|
if
|
Set the 'if' condition. The processor will be ignored unless the property is defined. The value of property is insignificant, but values that would imply misinterpretation ("false", "no") will throw an exception when isActive() is evaluated.
|
String
|
|
prototype
|
Sets file to precompile. Should be a source file that includes only one unguarded header file. Default value is "stdafx.cpp".
|
File
|
|
refid
|
Specifies that this element should behave as if the content of the element with the matching id attribute was inserted at this location.
|
Reference
|
|
unless
|
Set the 'unless' condition. If named property exists at execution time, the processor will be ignored. Value of property is insignificant, but values that would imply misinterpretation ("false", "no") of the behavior will throw an exception when isActive is called.
|
String
|


{% extends "global/Page.html" %} {% load staticfiles otree %} {% block title %} Other People's Feedback {% endblock %} {% block content %}
Thanks for your feedback.
Next, we will show you two other verdicts about the same game you just played. We would like to know whether you agree with them.


| Name: | ||
| ELAR | ||
| Institutions: | ||
| ELAR | - | Endangered Languages Archive |
| Choices: | ||
| U | - | all Users can access |
| R | - | Researchers and Community members are allowed access |
| C | - | only Community members are allowed access (normally requires application to Depositor) |
| S | - | only Subscribers are allowed access (requires application to Depositor) |


Randy is a Computer Science Major student at University of California, San Diego. He previously went to Pasadena City College before transferring to the University. He is of Japanese and German descent.


2 references to CertificatePurpose
System.Management.Automation (2)
security\SecuritySupport.cs (2)
772
internal
CertificatePurpose
Purpose
776
} =
CertificatePurpose
.NotSpecified;


The UA must support the following image file formats: PNG, as defined in [PNG] SVG, as defined in [SVG], in secure static mode [SVG-INTEGRATION] any other non-animated image file format that they support forin other properties, such as the the background-image property
In addition, the UA should support the following image file formats: SVG, as defined in [SVG], in secure animated mode [SVG-INTEGRATION] any other animated image file format that they support forin other properties, such as the the background-image property
The UA may also support additional file formats. Note: At the time of writing this specification (spring 2015), the only file formats supported for cursors in common desktop browsers are the .ico and .cur file formats, as designed by Microsoft. 在编写本规范（2015年春季）时，通用桌面浏览器中唯一支持光标的文件格式是Microsoft设计的.ico和.cur文件格式。 For compatibility with legacy content, UAs are encouraged to support these, even though the lack of an open specification makes it impossible to have a normative requirement about these formats. Some information on these formats can be found on Wikipedia. 为了与遗留内容兼容，鼓励UA支持这些，即使缺乏开放的规范，使得不可能有关于这些格式的规范要求. 关于这些格式的一些信息可以在维基百科上找到。


Blacksmith Duning:
Oh thank you so much my young friend. My reputation with the guild is secured. I'm afraid they would have kicked me out for that blunder. I owe you one, friend. Please take these keys to
Warehouse Keeper Norman
.


Each pixel is made up of three components: red, green and blue.
In floating point color each component is represented by a floating point value. 0.0 is minimum intensity and 1.0 is maximum intensity.
Some examples:
Any component less than zero is treated as black, and any value greater than 1.0 is treated as full intensity. You do not need to clamp the component values manually!
You can acheive special effects by exploiting the so called "high dynamic range" available in floating point color. See http://www.debevec.org for information on this technique.
Also, please note that each floating point pixel contains an alpha value which you are free to use however you like. For example, it could be used as a z-buffer for a software renderer, or simply as 4 bytes of storage per pixel for any purpose.
If you dont have any use for the alpha value, its safe to just ignore it.
Public Member Functions | |
| FloatingPointPixel () | |
| The default constructor sets the pixel to black. | |
| FloatingPointPixel (float r, float g, float b, float a=0.0f) | |
| This convenience constructor lets you specify color and alpha values at creation. | |
Public Attributes | |
| float | a |
| alpha component (unused) | |
| float | b |
| blue component | |
| float | g |
| green component | |
| float | r |
| red component |


Search for a trusted and reliable property agent to be your partner
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Vanilla Realtor offers a wide range of fully integrated real estate services through both commercial and residential properties to a diverse clientèle. Effective marketing tools and strategies deploying state of art tools and technology to delight our customers, established through extensive research of the real estate market and customized. All our services are provided by a team of property specialists who have an in-depth knowledge and expertise in the areas they specialize in the industry.
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What will happen if a narrowband is installed on a 4m telescope?
TBD
pikapika
Stay tuned~
lagersurvey@gmail.com


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7 Techniques from Creative Writing You Can Use to Improve. Ivy League writers provided Admission Essay, Personal statement Letter of Recommendation writing services for college, grad, mba, med law school students. The Purdue University Online Writing Lab serves writers from around the world and the Purdue University Writing Lab helps writers on Purdue's campus.
Creative writing ideas and writing prompts to spark off brilliant ideas; creative writing tips and writers' resources show how to write a story, how to write a novel.
GCSE English language: 7 tips for creative writing. Creative writing english second language - Scythe Cymru. Creative Writing English Language BA (Hons) With over 9000 resources, including lesson plans, worksheets, audio, video and flashcards, onestopenglish is the world’s number one resource site for English.
English Language Arts Standards Common Core State. Scholastic's Story Starters kids' writing activity generates creative writing prompts, from general fiction to adventure, fantasy, and science fiction. Here s how you can use popular creative writing techniques to English Essay Writing ; Russian Language from writing creative to essay writing. NINETEEN fully resourced hour long lessons to prepare students for Section B of the AQA English Language Paper 1 exam, but easily adaptable for other specifications. Amazon.com: Rip the Page!: Adventures in Creative Writing<PHONE_NUMBER>243): Karen Benke: Books. Creative writing english second language - Spend a little time and money to get the essay you could not even dream about Cooperate with our scholars
Format for a Friendly Letter - English. IELTS is the high stakes English test for international study, migration and work. Open a world of opportunity with IELTS. All resources for Creative Writing and Descriptive Writing for Common Entrance, KS3, GCSE and IGCSE with all techniques, spelling, punctuation and grammar. IELTS (англ. International English Language Testing System) — международная система оценки знания английского языка. Writing is a medium of human communication that represents language and emotion with signs and symbols. In most languages, writing is a complement to speech or spoken. AP English Language and Composition – Students Curvelearn.com: Creative Writing English Language. Englishbiz - GCSE English and English Literature Revision. Descriptive Writing / Creative Writing - English Language.
Creative writing english language. Study BA (Hons) English Language and Creative Writing undergraduate degree at the University of Central Lancashire. English is an Indo-European language and belongs to the West Germanic group of the Germanic languages. Old English originated from a Germanic tribal and linguistic.
English Language Development Standards - Resources. Elizabeth Gilbert: Your elusive creative genius Onestopenglish: Number one for English language teachers. STUDY GUIDES FOR GCSE ENGLISH NOVELS POEMS links to the very best free study guides for novels and poems. BBC BITESIZE LINK. ESSAY WRITING GUIDE. AP’s high school English Language and Composition course is a rigorous, college-level class that provides an opportunity to gain skills colleges recognize. Format for a Friendly or Personal Letter The following picture shows what a one-page friendly or personal letter should look like. The horizontal lines represent. Story Starters: Creative Writing Prompts Hi, all! I thought it would be a good idea to have one place where you could find examples of the big 40 marker on paper 1 - creative writing. There are many, many, many books on the Writing Creative Process. That being said, there are very few that feel, as you are reading and doing the prompts
Creative Writing Ideas Creative Writing. Admission Essay, Personal Statement Letter. Web page for those interested in following the alignment of English language development (ELD) standards with current English language arts standards.
Dear Alan, Though the communicative method is pre-dominant where I work, I do include a lot of simple creative writing exercises - diamond poems, shape poems. English Language (9-1) Creative Writing Examples!
Amazon.com: Rip the Page!: Adventures in Creative Writing. Creative Writing and English Language allows you to develop your own creative potential with words while also getting to grips with language and linguistics. English Language Arts Standards Download the standards Print this page. The Common Core State Standards for English Language Arts Literacy in History/Social Studies.
The Portable MFA in Creative Writing - amazon.com. IELTS Home of the IELTS English Language. Elizabeth Gilbert muses on the impossible things we expect from artists and geniuses -- and shares the radical idea that, instead of the rare person "being" a genius. On paper creative writing should be one of the easiest parts of the English language GCSE but you re not alone if you re finding it tricky. Creative.


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I am MR. Thomas Sarr, the manager of bill and exchange at the foreign remittance department of my Bank. In my department I discovered an abandoned sum of US$8.5m,(Eight Million, Five Hundred Thousand US Dollars) with account number 14-2558-5976 that belongs to one of our foreign customers who died along with his wife and only daughter in a plane crash of Alaska Airlines Flight number 261 which crashed on 31 January, 2000. You shall read more about the crash on visiting this site http://www.cnn.com/2000/US/02/01/alaska.airlines.list/ The owner of this account is Mr. Morris Thompson an American and great industrialist and a resident of Alaska. It is therefore upon this discovery that I now decided to make this business proposal to you and for our bank to release the money to you. You have to follow the instructions which I will send to you as the next of kin or relation to the deceased for safety and subsequent disbursement since nobody is coming for it and I don't want this money to go into our bank treasury as unclaimed bill. The banking law and guidelines here stipulates that if such money remained unclaimed after three years, the money will be transfered into the bank treasury as unclaimed fund. The money has now stayed more than three years and I am preparing documentations to prove that this money has been transfered to our bank treasury. It will be between me and you only that will know that the money is not transfered into our treasury. The request of foreigner as next of kin in this transaction is occasioned by the fact that the customer was a foreigner and a Senegalese cannot stand as next of kin to a foreigner. In appreciation of your assistance, I am offering you 30% of the total sum. 5% for contingencies (cost of transfer/other charges) likely to be incurred during the course of transaction, while the remaining 65% is for me. Upon receipt of your reply, I will send to you by fax or email the text of the application which you will complete and forward to our bank asking for this money to be paid to you as the next of kin to Mr. Morris Thomson. I will not fail to bring to your notice that this transaction is hitch-free and that you should not entertain any fear as all required arrangements have been made for the transfer. You should contact me immediately as soon as you receive this mail through the above email. PLEASE DO NOT HESITATE TO CONTACT ME IMMEDIATELY. PLEASE DO CONSIDER MY REQUEST AS URGENT. You may contact me also at<EMAIL_ADDRESS>Yours Faithfully, Thomas SARR


{% include navbar.html %}
{{ site.header_text }}
{{ site.button_text }}
About Me
{% include about.markdown %}
Job History
{% for job in site.jobs reversed %}
{{ job.duration }}
{{ job.tagline }}
{{ job.content }}
{% endfor %}
{% include social.html %} {% include footer.html %}


Since I was a kid I always asked myself what could be behind the creation of a videogame. Was when I discovered that behind that world, apparently magic, there is a soul made of code that I get passionate about programming. A passion that then found its main expression in the Web world.
I constantly try to increase my knowledge and expand my experiences by applying them.
Mobile hybrid technologies analysis. Creation from scratch of the existing native PromoQui app with React Native. Setup of the navigation system and API services layer based on GraphQL (Apollo Client). Type-checking with TypeScript. State management with Redux, Redux-Saga, and Reselect.
Analysis, refactoring and development from scratch of React components, as well as developing new features and views as micro apps; state management with React Hooks and Context API.
Components stylization via SCSS modules using the BEM methodology.
Introduced Webpack for the assets bundling process making optimizations like scripts minification, styles auto-prefixing and eventual polyfill scripts injection based on browsers target.
Multi-environment deploys script development that uploads on Amazon S3 front-end bundles; integrated it into the Webpack build process.
Management and integration of advertising slots as well as for analytical tracking events.
Legacy layouts and views maintenance and bug-fixing developed with the Slim template engine.
I contributed to the development of web applications based on AngularJS, dealing with the Front-end development and some subsystems of the Back-end of the CMS/App builder Webdoit. Usage of jQuery components and stylization with Bootstrap and custom CSS.
Learning of Web Development technologies like HTML5, CSS3, JavaScript, SCSS, jQuery and concepts like Responsive Design. Applied those skills on projects visible on my CodePen profile.


FZPProperty
FZPProperty class
Example:
const {FZPProperty} = require('fzp-js')
let property = new FZPProperty()
Constructor Summary
| Public Constructor | ||
| public |
FZPProperty constructor |
Member Summary
| Public Members | ||
| public |
the property showInLabel |
|
| public |
the property value |
Method Summary
| Public Methods | ||
| public |
Get the FZProperty showInLabel boolean |
|
| public |
Get the FZProperty value |
|
| public |
|
|
| public |
Set the FZProperty showInLabel boolean |
|
| public |
Set the FZProperty value |


NSRRemoteManagedObject Class Reference
| Inherits from | NSRRemoteObject : _NSR_SUPERCLASS |
| Declared in | NSRRemoteManagedObject.h |
Overview
Setting up
Installation
CocoaPods: Instead of
pod 'NSRails'
, usepod 'NSRails/CoreData'
.If you’re otherwise including NSRails in a workspace with your project, link with the static library created by the NSRailsCD target, rather than just NSRails.
Why is a separate target necessary?
In the NSRails target, NSRRemoteObject inherits from NSObject. But because your CoreData-managed, NSRails-enabled class need to inherit from NSManagedObject, and because Objective-C does not allow multiple inheritance, NSRRemoteObject inherits from NSManagedObject in the CoreData target. NSRRemoteManagedObject is a subclass of NSRRemoteObject with nice CoreData behavior.
Setting a universal context
You must set your managed object context to your config’s managedObjectContext property so that NSRails can automatically insert or search for CoreData objects when operations require it:
[[NSRConfig defaultConfig] setManagedObjectContext:<#your MOC#>];
Remote ID
remoteID
is used as a “primary key” that NSRails will use to find other instances, etc. This key also validates uniqueness, meaning saving a context with two records of the same type with the same remoteID will fail.remoteID
must be defined in your *.xcdatamodeld data model file. You should create an abstract entity that defines aremoteID
attribute (Integer 16 is fine) and acts as a parent to your other entities:
Differences from NSRRemoteObject
NSRRemoteManagedObject overrides some NSRRemoteObject behavior to make it more CoreData-friendly.
Remote requests
Class
Remote All (index): Each object returned in the array may be an existing or newly inserted managed object. All managed objects will reflect properties set to those returned by your server. Does not save the context.
Object with ID: If request is successful, will attempt to find an existing local object with objectID, and update its properties to the server’s response. If it cannot find an existing local object with that remoteID, will insert a new object into the context, with those properties. Does not save the context.
Instance
Fetch: If successful and changes are present, will save its managed object context.
Create: If successful, will save its managed object context to update changed properties in the server response (like remoteID).
Destroy: If successful, will delete itself from its managed object context and save the context.
Update/Replace: If successful, will save its managed object context. Note: Changes to the local object will remain even if the request was unsuccessful. It is recommended to implement an undo manager for your managed object context to rollback any changes in this case.
Others
objectWithRemoteDictionary: Will attempt to retrieve the object in CoreData whose remoteID matches the object for key id
in dictionary.
- If this object is found, will set its properties using dictionary.
- If this object is not found (or there’s no
id
key), will create & insert a new object using dictionary.
Does not save the context.
remoteDestroyOnNesting: This property leaves your managed object unaffected. You will have to delete it from your context manually if your request was successful.
nestedClassForProperty: Will search your CoreData entity relationships, and if one is found for that property, will return that relationship’s destination class.
Tasks
CoreData Helpers
-
+ findObjectWithRemoteID:
Finds the object in CoreData whose remoteID is equal to the value passed in.
-
– initInserted
Instantiates a new instance, inserts it into the default CoreData context.
-
– saveContext
Save the CoreData object context of the receiver.
Methods to override
-
+ entityName
Override this method if the class entity name is different than the name of the class.
-
– validatesRemoteIDUniqueness
Override this method only if you wish to disable
remoteID
uniqueness validation.
Class Methods
entityName
Override this method if the class entity name is different than the name of the class.
+ (NSString *)entityName
Return Value
String (typically literal) to be used as entity name when inserting and fetching objects of this class.
Discussion
Default behavior here is to return the name of the class.
Declared In
NSRRemoteManagedObject.h
findObjectWithRemoteID:
Finds the object in CoreData whose remoteID is equal to the value passed in.
+ (instancetype)findObjectWithRemoteID:(NSNumber *)remoteID
Parameters
- remoteID
The remoteID to search for.
Return Value
The object from CoreData, if it exists. If it does not exist, returns nil
.
Declared In
NSRRemoteManagedObject.h
Instance Methods
initInserted
Instantiates a new instance, inserts it into the default CoreData context.
- (instancetype)initInserted
Return Value
The newly inserted object.
Discussion
Does not save the context.
Uses the “global” context defined in the relevant config’s managedObjectContext
property. Throws an exception if this property is nil
.
Declared In
NSRRemoteManagedObject.h
saveContext
Save the CoreData object context of the receiver.
- (NSError *)saveContext
Return Value
The error from the save, if one occurred.
Declared In
NSRRemoteManagedObject.h
validatesRemoteIDUniqueness
Override this method only if you wish to disable remoteID
uniqueness validation.
- (BOOL)validatesRemoteIDUniqueness
Return Value
NO
if you do not wish to validate remoteID
uniqueness. You should not override this method otherwise.
Discussion
Unfortunately CoreData does not offer a good way to validate on uniqueness (on the DB level). When enabled and an object is inserted, NSRails will make a fetch request for any other managed objects with the inserted object’s remoteID
. This may take time depending on the amount of records you have.
Declared In
NSRRemoteManagedObject.h


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