trimcore/0
trimcore
Force reclamation of memory in all of Prolog's data areas.
Trims the stacks, reclaims any dead clauses and predicates, defragmentizes Prolog's free memory, and attempts to return any unused memory to the operating system. It is called automatically at every top-level query, except the stacks are not trimmed then.


| Email sent to the person confirming your identity | 2:30pm on 6 February 2018 |
| Application received | 10:05am on 5 February 2018 |
| Application submitted | 10:03am on 5 February 2018 |
{{< layout}}
{{$pageTitle}}Track a passport application{{/pageTitle}}
{{$content}}
We've sent the email
We'll send you an email when your identity has been confirmed.
If you don't get an update in the next few days, remind the person that they need to confirm your identity.
| Email sent to the person confirming your identity | 2:30pm on 6 February 2018 |
| Application received | 10:05am on 5 February 2018 |
| Application submitted | 10:03am on 5 February 2018 |


Here is a few approaches to get in touch with me. It would be ideal if you send an email, fill the contact form I'm looking forward to speaking with you.
Please help us serve you better by sharing the following information.
951 Meadow View Drive Bristol, Hog Camp Road USA06010
+180-123-4567
john@lifecoach.com


Before Change
//print "Under 1e-10: {}".format(np.sum(W < 1e-6))
// W[W<1e-6] = 1e-6
// NOTE: when setting a parameter inside parameters_changed it will allways come to closed update circles!!!
W.__setitem__(W < 1e-6, 1e-6, update=False) // FIXME-HACK: This is a hack since GPy can"t handle negative variances which can occur
// If the likelihood is non-log-concave. We wan"t to say that there is a negative variance
// To cause the posterior to become less certain than the prior and likelihood,
// This is a property only held by non-log-concave likelihoods
After Change
if not log_concave:
//print "Under 1e-10: {}".format(np.sum(W < 1e-6))
W[W<1e-6] = 1e-6
// NOTE: when setting a parameter inside parameters_changed it will allways come to closed update circles!!!
//W.__setitem__(W < 1e-6, 1e-6, update=False) // FIXME-HACK: This is a hack since GPy can"t handle negative variances which can occur
// If the likelihood is non-log-concave. We wan"t to say that there is a negative variance
// To cause the posterior to become less certain than the prior and likelihood,


{% extends 'brambling/layouts/12.html' %} {% block title %}500 Error – {{ block.super }}{% endblock %} {% block main %}
Let us know you got here? You can use the feedback tool in the lower right.
We look forward to hearing from you. Perferably about things that aren't errors. But, you know, we want to hear about the errors, too.
{% endblock main %}


In the wake of the ELEAGUE Major (congratulations Astralis!), we’re making a change to the map pool: Inferno has returned to Active Duty, replacing Dust II, and will be featured at the next CS:GO Major. As in the past, the updated Active Duty pool is automatically selected when you enter Matchmaking.
And in Casual and Deathmatch game modes, it’s now a bit easier to play your favorite maps. Map groups have been separated into additional categories: Active Duty, Hostage, Reserves, and Dust II.
Congratulations to Astralis, the winners of ELEAGUE Atlanta 2017! They take home $500,000 of the $1,000,000 prize pool. This is their first Major title. Astralis won the best of three against Virtus.Pro, winning on Overpass(16-14) and then on Train(16-14). If you missed any of the matches or want to watch the highlights, you can download all the games from the ELEAGUE Atlanta 2017 tab in the WATCH menu. We’d like to thank all the teams, everyone at ELEAGUE , and most of all the Counter-Strike community for making this tournament possible.
As day three comes to an end, two teams have secured their spots in the playoffs. Navi and Virtus.Pro advance to the next stage unbeaten. Tune in for day four as the remaining twelve teams fight for their chance to make it to the playoffs. Watch the action unfold on GOTV or on Twitch. Day four gets underway at 10am EST (4:00 PM CEST).
Join Counter-Strike: Global Offensive gamming, Buy it on steam now! Be the best Sloldier there is!
Stay low, Move fast!
One Shot, One kill!

No game, No skill!
Dead Space
Dead Space is a science fiction survival horror video game developed by EA Redwood Shores for Microsoft Windows, PlayStation 3, and Xbox 360. The game was released on all platforms through October 2008.
Resident Evil 4’s influence has become immeasurable since its release in 2005. Games like Gears of War and Uncharted owe much to the game that revolutionized third-person action controls. However, one popular sci-fi horror game would look a lot like an entirely different sci-fi horror game if not for Capcom’s reinvention of its seminal series. I got the opportunity to sit down with Dead Space designers Ben Wanat and Wright Bagwell to talk about the early days of development and how Resident Evil 4 helped them shape their own horror series out of another.
"When Resident Evil 4 came out, we were just awestruck by it," Wanat told me.  They're actually trying to tell a story; they've got some cool cinematics; the gameplay systems are fixing a lot of problems, bringing it into this action realm but keeping this intense horror feel to it. It was this amazing combination and—oh, the enemies were so freakin' cool."
Wanat didn't shy away from admitting that Resident Evil 4 is one of his favourite games of all time. And it's clear looking at Dead Space that he wasn't alone at EA Redwood Shores (now Visceral Games).
Overwatch
Overwatch is a team-based multiplayer first-person shooter video game developed and published by Blizzard Entertainment. It was released in May 2016 for Microsoft Windows, PlayStation 4, and Xbox One.
In a time of global crisis, an international task force of heroes banded together to restore peace to a war-torn world: OVERWATCH.
Overwatch ended the crisis, and helped maintain peace in the decades that followed, inspiring an era of exploration, innovation, and discovery. But, after many years, Overwatch’s influence waned, and it was eventually disbanded.
Now, conflict is rising across the world again, and the call has gone out to heroes old and new. Are you with us?


Connect user input to screen reactions by using ripples to both indicate the point of touch, and to confirm that touch input was received. For touch or mouse, this occurs at the point of contact.
The matRipple
attribute directive defines an area in which a ripple animates on user interaction.

<ng-content></ng-content>

By default, a ripple is activated when the host element of the matRipple
directive receives
mouse or touch events. Upon being pressed, a ripple will begin fading in from the point of contact,
radiating to cover the host element. Each ripple will fade out only upon release of the mouse or touch.
Ripples can also be triggered programmatically by getting a reference to the MatRipple directive
and calling its launch
method.
By default ripples will fade in on interaction with the directive's host element.
In some situations, developers may want to show ripples on interaction with some other element,
but still want to have the ripples placed in another location. This can be done by specifying
the matRippleTrigger
option that expects a reference to an HTMLElement
.

Ripples can be shown programmatically by getting a reference to the MatRipple
directive.
class MyComponent {
/** Reference to the directive instance of the ripple. */
@ViewChild(MatRipple) ripple: MatRipple;
/** Shows a centered and persistent ripple. */
launchRipple() {
const rippleRef = this.ripple.launch({
persistent: true,
centered: true
});
// Fade out the ripple later.
rippleRef.fadeOut();
}
}
In the example above, no specific coordinates have been passed, because the centered
ripple option has been set to true
and the coordinates would not matter.
Ripples that are being dispatched programmatically can be launched with the persistent
option.
This means that the ripples will not fade out automatically, and need to be faded out using
the RippleRef
(useful for focus indicators).
In case, developers want to launch ripples at specific coordinates within the element, the
launch()
method also accepts x
and y
coordinates as parameters. Those coordinates
are relative to the ripple container element.
const rippleRef = this.ripple.launch(10, 10, {persistent: true});
Developers are able to specify options for all ripples inside of their application.
The speed of the ripples can be adjusted and the ripples can be disabled globally as well.
Global ripple options can be specified by setting the MAT_RIPPLE_GLOBAL_OPTIONS
provider.
const globalRippleConfig: RippleGlobalOptions = {
disabled: true,
animation: {
enterDuration: 300,
exitDuration: 0
}
};
@NgModule({
providers: [
{provide: MAT_RIPPLE_GLOBAL_OPTIONS, useValue: globalRippleConfig}
]
})
All available global options can be seen in the RippleGlobalOptions
interface.
The animation of ripples can be disabled by using the animation
global option. If the
enterDuration
and exitDuration
is being set to 0
, ripples will just appear without any
animation.
This is specifically useful in combination with the disabled
global option, because globally
disabling ripples won't affect the focus indicator ripples. If someone still wants to disable
those ripples for performance reasons, the duration can be set to 0
, to remove the ripple feel.
const globalRippleConfig: RippleGlobalOptions = {
disabled: true,
animation: {
enterDuration: 0,
exitDuration: 0
}
};
Note: Ripples will also have no animation if the NoopAnimationsModule
is being used. This
also means that the durations in the animation
configuration won't be taken into account.
There are two different animation behaviors for the fade-out of ripples shown in the Material Design specifications.
By default, all ripples will start fading out if the mouse or touch is released and the enter animation completed. The second possible behavior, which is also shown in the specifications, is that ripples start to fade out immediately on mouse or touch release.
In some scenarios, developers might prefer that behavior over the default and would like to have
the same for Angular Material. This behavior can be activated by specifying the
terminateOnPointerUp
global ripple option.
const globalRippleConfig: RippleGlobalOptions = {
terminateOnPointerUp: true
};
To change global ripple options at runtime, just inject the MAT_RIPPLE_GLOBAL_OPTIONS
provider and update the desired options.
There are various ways of injecting the global options. In order to make it easier to
inject and update options at runtime, it's recommended to create a service that implements
the RippleGlobalOptions
interface.
@Injectable({providedIn: 'root'})
export class AppGlobalRippleOptions implements RippleGlobalOptions {
/** Whether ripples should be disabled globally. */
disabled: boolean = false;
}
@NgModule({
providers: [
{provide: MAT_RIPPLE_GLOBAL_OPTIONS, useExisting: AppGlobalRippleOptions},
]
})
export class MyModule {...}
Now that the global ripple options are set to a service we can inject, the service can be used update any global ripple option at runtime.
@Component(...)
export class MyComponent {
constructor(private _appRippleOptions: AppGlobalRippleOptions) {}
disableRipples() {
this._appRippleOptions.disabled = true;
}
}


Copyright 2010-2014 Jun Nakashima (Read COPYRIGHT for detailed information.)
Copyright 2010-2014 Kenjiro Taura (Read COPYRIGHT for detailed information.)
Next: MassiveThreads Library, Previous: (dir), Up: (dir) [Contents]
Next: Higher-Level Interfaces, Previous: Top, Up: Top [Contents]
TODO: write about the library API itself.
Next: DAG Recorder, Previous: MassiveThreads Library, Up: Top [Contents]
| • Higher Level Interfaces Overview: | ||
| • TBB-Compatible Interface: | ||
| • Task Parallel Switcher: |
Next: TBB-Compatible Interface, Previous: Higher-Level Interfaces, Up: Higher-Level Interfaces [Contents]
MassiveThreads API described so far is still low level and bit burdensome as a parallel programming interface. MassiveThreads also provides higher level APIs, easier and more convenient APIs for programmers.
One is what we call TBB-compatible interface, that provides a subset of functions of Intel Threading Building Block. It does not only provide TBB-compatible interface, but also allows you to switch between various lightweight thread libraries under the same TBB-compatible interface. Currently supported libraries include MassiveThreads, Qthreads, Nanos++, and what we call a dummy scheduler. The last one elides task parallel primitives.
The other interface is what we call a task parallel switcher, with which you can write a single program running on top of even wider set of task parallel systems including OpenMP, Cilk, and TBB.
Besides providing a uniform API on various runtime systems, they serve another important purpose, which is to allow you to trace your task parallel programs with DAG Recorder, a tracing tool described later in this manual. See DAG Recorder. By programming in these APIs, rather than in the native API of the respective runtime system, your are free from the burden of manually instrumenting your programs for tracing. To this end, we also provide headers to facilitate instrumentation of OpenMP and Cilk. They do not serve any purpose of making OpenMP and Cilk more convenient nor more uniform; they simply make instrumenting OpenMP and Cilk easier.
Here is the summary of choices of APIs and runtime systems.
| API | Runtime System | Header file | flags |
|---|---|---|---|
| TBB-compatible | None (dummy) | mtbb/task_group.h | -DTO_SERIAL |
| TBB-compatible | Intel TBB | mtbb/task_group.h | -DTO_TBB -ltbb |
| TBB-compatible | MassiveThreads | mtbb/task_group.h | -lmyth-native |
| TBB-compatible | Qthreads | mtbb/task_group.h | -DTO_QTHREAD -lqthread |
| TBB-compatible | Nanos++ | mtbb/task_group.h | -DTO_NANOX -lnanox-c |
| OpenMP-like | OpenMP | tpswitch/omp_dr.h | |
| Cilk-like | Cilk | tpswitch/cilk_dr.h | |
| Cilkplus-like | Cilkplus | tpswitch/cilk_dr.h | |
| Task Parallel Switcher | None (dummy) | tpswitch/tpswitch.h | -DTO_SERIAL |
| Task Parallel Switcher | Intel TBB | tpswitch/tpswitch.h | -DTO_TBB -ltbb |
| Task Parallel Switcher | MassiveThreads | tpswitch/tpswitch.h | -DTO_MTHREAD_NATIVE -lmyth-native |
| Task Parallel Switcher | Qthreads | tpswitch/tpswitch.h | -DTO_QTHREAD -lqthread |
| Task Parallel Switcher | Nanos++ | tpswitch/tpswitch.h | -DTO_NANOX -lnanox-c |
| Task Parallel Switcher | OpenMP | tpswitch/tpswitch.h | -DTO_OMP |
| Task Parallel Switcher | Cilk | tpswitch/tpswitch.h | -DTO_CILK |
| Task Parallel Switcher | Cilkplus | tpswitch/tpswitch.h | -DTO_CILKPLUS |
Next: Task Parallel Switcher, Previous: Higher Level Interfaces Overview, Up: Higher-Level Interfaces [Contents]
| • TBB-Compatible Interface Overview: | ||
| • Installing TBB-Compatible Interface: | ||
| • Writing Programs Using TBB-Compatible Interface: | ||
| • Choosing Schedulers Beneath the TBB-Compatible Interface: |
Next: Installing TBB-Compatible Interface, Previous: TBB-Compatible Interface, Up: TBB-Compatible Interface [Contents]
As of writing, it supports task_group class, parallel_for template function, and parallel_reduce template function. See respective sections of the TBB reference manual for these classes. We will see examples using task_group class below.
Next: Writing Programs Using TBB-Compatible Interface, Previous: TBB-Compatible Interface Overview, Up: TBB-Compatible Interface [Contents]
TBB-compatible interface is distributed as a part of MassiveThreads, so you do not do anything particular to install it besides the installation procedure of MassiveThreads.
After installation, the files constituting the API are installed as:
Note that they are under mtbb directory, instead of tbb directory as in the original TBB.
Next: Choosing Schedulers Beneath the TBB-Compatible Interface, Previous: Installing TBB-Compatible Interface, Up: TBB-Compatible Interface [Contents]
Using TBB-Compatible interface is a lot like using the regular TBB. You include mtbb/{task_group,parallel_for,parallel_reduce}.h instead of tbb/{task_group,parallel_for,parallel_reduce}.h, and use namespace mtbb instead of namespace tbb.
Here is a simple example (bin_mtbb.cc).
#include <mtbb/task_group.h> long bin(int n) { if (n == 0) return 1; else { mtbb::task_group tg; long x, y; tg.run([=,&x] { x = bin(n - 1); }); y = bin(n - 1); tg.wait(); return x + y; } } int main(int argc, char ** argv) { int n = atoi(argv[1]); long x = bin(n); printf("bin(%d) = %ld\n", n, x); return 0; }
I hope you agree that changes are minimal. The original TBB version would look like this (only differences are the file name of the include file and namespace prefix of the task_group class).
#include <tbb/task_group.h> long bin(int n) { if (n == 0) return 1; else { tbb::task_group tg; long x, y; tg.run([=,&x] { x = bin(n - 1); }); y = bin(n - 1); tg.wait(); return x + y; } } int main(int argc, char ** argv) { int n = atoi(argv[1]); long x = bin(n); printf("bin(%d) = %ld\n", n, x); return 0; }
Without DAG Recorder, you would compile bin_mtbb.cc as follows.
$ g++ --std=c++0x bin_mtbb.cc -lmyth-native
Remark 1: --std=c++0x is given to use C++ lambda expression at line 8, proposed in C++0x and standardized in C++11. GCC supports it since 4.5, when one of the following command line options --std=c++0x, --std=gnu0x, --std=c++11, or --std=gnu11 is supplied. If your GCC does not support it, you could pass any callable object (any object supporting operator()). We use lambda expressions for brevity in this manual.
Remark 2: Depending on your configuration, you might need to add -I, -L, and -Wl,-R options to the command line. For example, if you install MassiveThreads under /home/you/local (i.e., gave /home/you/local to --prefix of the configure command), the command line will be:
$ g++ --std=c++0x -I/home/you/local/include -L/home/you/local/lib -Wl,-R/home/you/local/lib bin_mtbb.cc -lmyth-native
With the above command, you get a program that uses TBB-compatible API with MassiveThreads as the underlying scheduler. Roughly speaking, task_group’s run method will create a thread of MassiveThreads library via myth_create and wait method will wait for all threads associated with the task group object to finish via myth_join.
The mtbb/task_group.h file allows you to use threading libraries other than MassiveThreads, by defining a compile time flag TO_XXX. Currently, you can choose from the original Intel TBB, MassiveThreads, Qthreads, Nanos++, or None. Flags you should give to them are listed below.
| Runtime system | Flag |
|---|---|
| Intel TBB | -DTO_TBB |
| MassiveThreads | -DTO_MTHREAD_NATIVE (or nothing) |
| Qthreads | -DTO_QTHREAD |
| Nanos++ | -DTO_NANOX |
| None | -DTO_SERIAL |
The last one, None, elides all tasking primitives; run(c) executes c() serially and wait() is a noop.
In order to use mtbb/task_group.h with the scheduler you chose, you of course need to install the respective scheduler and link your program with it.
Previous: TBB-Compatible Interface, Up: Higher-Level Interfaces [Contents]
TBB-compatible interface unifies various schedulers under the same, TBB-compatible interface. Task parallel switcher goes one step further by defining an API that can be mapped onto OpenMP and Cilk as well.
OpenMP, Cilk, and TBB’s task_group interfaces are all conceptually very similar; they all define ways to create tasks and wait for outstanding tasks to finish, after all.
Yet there are idiosyncrasies that make defining truly uniform APIs difficult.
TODO: detail the following
Previous: Higher-Level Interfaces, Up: Top [Contents]
Next: Installing DAG Recorder, Previous: DAG Recorder, Up: DAG Recorder [Contents]
DAG Recorder is a tracing tool to analyze execution of task parallel programs. It records all relevant events in an execution of the program, such as task start, task creation, and task synchronization and stores them in a manner that is able to reconstruct the computational DAG of the execution.
Next: Writing Programs That Use DAG Recorder, Previous: DAG Recorder Overview, Up: DAG Recorder [Contents]
DAG Recorder is distributed as a part of MassiveThreads, so installing MassiveThreads automatically installs DAG Recorder too. DAG Recorder does not internally depend on MassiveThreads in any way, however; you can, for example, use DAG Recorder to analyze TBB or OpenMP programs.
After installation, files directly visible to the user are the following.
where PREFIX is the path you specified with --prefix at configure command line.
In most cases, you do not have to directly include dag_recorder.h. TBB-compatible interface or aforementioned wrappers (omp_dr.h and cilk_dr.h) will automatically include it.
Next: Running Your Programs with DAG Recorder, Previous: Installing DAG Recorder, Up: DAG Recorder [Contents]
| • Common Basics: | ||
| • Using DAG Recorder with TBB-Compatible Interface: | ||
| • Using DAG Recorder with OpenMP: | ||
| • Using DAG Recorder with Cilk and CilkPlus: | ||
| • Using DAG Recorder with tpswitch.h: |
Next: Using DAG Recorder with TBB-Compatible Interface, Previous: Writing Programs That Use DAG Recorder, Up: Writing Programs That Use DAG Recorder [Contents]
Currently, DAG Recorder supports the following task parallel APIs.
Making your programs ready for DAG Recorder involves replacing original task parallel primitives with equivalent, instrumented versions. You also need to specify where to start/stop instrumentation and dump the result. We provide header files to make the instrumentation nearly automatic or at least quite mechanical. What you exactly need to do depends on the programming model you chose and are detailed in the following subsections.
Next: Using DAG Recorder with OpenMP, Previous: Common Basics, Up: Writing Programs That Use DAG Recorder [Contents]
If you are using TBB-Compatible Interface (see Writing Programs Using TBB-Compatible Interface), the instrumentation is most straightforward and least intrusive. Let’s say you have a program including mtbb/task_group.h such as this.
#include <mtbb/task_group.h> long bin(int n) { if (n == 0) return 1; else { mtbb::task_group tg; long x, y; tg.run([=,&x] { x = bin(n - 1); }); y = bin(n - 1); tg.wait(); return x + y; } } int main(int argc, char ** argv) { int n = atoi(argv[1]); long x = bin(n); printf("bin(%d) = %ld\n", n, x); return 0; }
Instrumentation is turned on simply by giving -DDAG_RECORDER=2
at the command line. What else you need to do is to insert calls to dr_start, dr_stop,
and dr_dump
at appropriate places like this (bin_mtbb_dr.cc).
#include <mtbb/task_group.h> long bin(int n) { if (n == 0) return 1; else { mtbb::task_group tg; long x, y; tg.run([=,&x] { x = bin(n - 1); }); y = bin(n - 1); tg.wait(); return x + y; } } int main(int argc, char ** argv) { int n = atoi(argv[1]); dr_start(0); long x = bin(n); dr_stop(); dr_dump(); printf("bin(%d) = %ld\n", n, x); return 0; }
As you will see already, you should insert:
dr_start(0)
at the point you want to start recording,
dr_stop()
at the point you want to stop recording, and
dr_dump()
at the point you want to dump the result.
dr_start
takes a pointer, which may be zero, to dr_options
data structure as the argument.
Controlling the Behavior of DAG Recorder for options you can specify.
Here are the command lines to compile this program, with and without DAG Recorder
g++ --std=c++0x bin_mtbb_dr.cc -DDAG_RECORDER=2 -ldr -lmyth-native
g++ --std=c++0x bin_mtbb_dr.cc -lmyth-native
The reason why you set DAG_RECORDER to “2” is historical. There was a version one, which have become obsolete by now.
You could switch to other schedulers in the way described already. See Choosing Schedulers Beneath the TBB-Compatible Interface. For example, you will get the original TBB scheduler with the following command line.
g++ --std=c++0x bin_mtbb_dr.cc -DTO_TBB -DDAG_RECORDER=2 -ldr -ltbb
Next: Using DAG Recorder with Cilk and CilkPlus, Previous: Using DAG Recorder with TBB-Compatible Interface, Up: Writing Programs That Use DAG Recorder [Contents]
OpenMP uses directives (pragma omp task
and pragma omp
taskwait
) to express task parallel programs. It almost always uses
pragma omp parallel
and pragma omp single
(or pragma
omp master
) to enter a task parallel section. Here is an equivalent
program to our example, written in the regular OpenMP.
#include <stdio.h> #include <stdlib.h> long bin(int n) { if (n == 0) return 1; else { long x, y; #pragma omp task shared(x) x = bin(n - 1); #pragma omp task shared(y) y = bin(n - 1); #pragma omp taskwait return x + y; } } int main(int argc, char ** argv) { int n = atoi(argv[1]); #pragma omp parallel #pragma omp single { long x = bin(n); printf("bin(%d) = %ld\n", n, x); } return 0; }
We need to instrument these pragmas, for which we defined equivalent macros (not pragmas) in a header file tpswitch/omp_dr.h. This is not as straightforward as we hope, but we do not know any good mechanism to introduce a new pragma or redefine existing pragmas.
tpswitch/omp_dr.h defines the following macros.
pragma_omp_task(clauses, statement)
pragma_omp_taskwait
pragma_omp_parallel_single(clauses, statement)
Without DAG Recorder, they are expanded into equivalent OpenMP pragmas in an obvious manner:
#pragma omp task clauses statement
#pragma omp taskwait
#pragma omp parallel clauses #pragma omp single { statement }
So, here is DAG Recorder-ready version of the above program.
#include <stdio.h> #include <stdlib.h> #include <tpswitch/omp_dr.h> long bin(int n) { if (n == 0) return 1; else { long x, y; pragma_omp_task(shared(x), x = bin(n - 1)); pragma_omp_task(shared(y), y = bin(n - 1)); pragma_omp_taskwait; return x + y; } } int main(int argc, char ** argv) { int n = atoi(argv[1]); pragma_omp_parallel_single(, { dr_start(0); long x = bin(n); dr_stop(); printf("bin(%d) = %ld\n", n, x); dr_dump(); }); return 0; }
This source code can be compiled with and without DAG Recorder.
g++ -fopenmp bin_omp_dr.cc
g++ -fopenmp -DDAG_RECORDER=2 bin_omp_dr.cc -ldr
Next: Using DAG Recorder with tpswitch.h, Previous: Using DAG Recorder with OpenMP, Up: Writing Programs That Use DAG Recorder [Contents]
There are two versions of Cilk; the original MIT Cilk and CilkPlus. The former is implemented as a source to source translator (cilkc) and it is a strictly C extension (C++ not supported). The latter is natively supported by Intel C++ Compiler and GCC version $\geq$ 4.9. It supports both C and C++ for writing serial parts. DAG Recorder supports both Cilk and CilkPlus. Hereafter, when we say Cilk, it means the original MIT Cilk version.
CilkPlus uses directives _Cilk_spawn
and _Cilk_sync
statements.
Here is our example in CilkPlus.
#include <stdio.h> #include <stdlib.h> long bin(int n) { if (n == 0) return 1; else { long x, y; x = _Cilk_spawn bin(n - 1); y = _Cilk_spawn bin(n - 1); _Cilk_sync; return x + y; } } int main(int argc, char ** argv) { int n = atoi(argv[1]); long x; x = _Cilk_spawn bin(n); _Cilk_sync; printf("bin(%d) = %ld\n", n, x); return 0; }
Alternatively you can include <cilk/cilk.h>
and use more human friendly cilk_spawn
and cilk_sync
keywords.
#include <stdio.h> #include <stdlib.h> #include <cilk/cilk.h> long bin(int n) { if (n == 0) return 1; else { long x, y; x = cilk_spawn bin(n - 1); y = cilk_spawn bin(n - 1); cilk_sync; return x + y; } } int main(int argc, char ** argv) { int n = atoi(argv[1]); long x; x = cilk_spawn bin(n); cilk_sync; printf("bin(%d) = %ld\n", n, x); return 0; }
Cilk uses directives spawn
and sync
statements to create and synchronize tasks.
Here is our example in Cilk.
#include <stdio.h> #include <stdlib.h> cilk long bin(int n) { if (n == 0) return 1; else { long x, y; x = spawn bin(n - 1); y = spawn bin(n - 1); sync; return x + y; } } cilk int main(int argc, char ** argv) { int n = atoi(argv[1]); long x; x = spawn bin(n); sync; printf("bin(%d) = %ld\n", n, x); return 0; }
There is a subtle but important difference between Cilk and CilkPlus.
In Cilk, a function that spawns a task needs to be explicitly marked as
a cilk procedure by the cilk
keyword at function declaration;
and, once a procedure is marked as a cilk procedure, it cannot be called
by a regular function call syntax; it must always be spawned. That is,
in our example, the following is prohibited.
int x = bin(n);
It must instead be written as
int x; x = spawn bin(n); sync;
As a result, the enclosing function must also be marked as a cilk procedure.
Whether you use Cilk or CilkPlus, modifications necessary to make these programs ready are summarized as follows.
spawn, cilk_spawn,
and _Cilk_spawn
statements with spawn_(...)
macro. e.g.,
y = cilk_spawn f(x);
should be rewritten to:
spawn_(y = cilk_spawn f(x));
sync
and cilk_sync
statements with sync_
and cilk_sync_
, respectively.
cilk_begin
. This is to indicate the beginning of a task. If you forget this, a compilation error should result, complaining “no such variable __cilk_begin__”;
cilk_return(val)
or cilk_void_return
, depending on whether the return statement returns a value. This is to indicate the end of a task.
(TODO : wish to fix this) If you forget this, a compilation succeeds, but DAG Recorder fails.
cilk_begin
into a function, that function always needs to be spawned. That is,
such a function cannot be called by a normal function call syntax.
This is prohibited in MIT Cilk
anyways and flagged as a compilation error. It is on you when
you use CilkPlus, which allows task-spawning functions to be
called serially without spawn keywords. If you forget this, there
are no compilation errors and DAG Recorder will be confused.
Here is the modified CilkPlus program.
#include <stdio.h> #include <stdlib.h> #include <tpswitch/cilkplus_dr.h> long bin(int n) { cilk_begin; if (n == 0) cilk_return(1); else { long x, y; spawn_(x = cilk_spawn bin(n - 1)); spawn_(y = cilk_spawn bin(n - 1)); cilk_sync_; cilk_return(x + y); } } int main(int argc, char ** argv) { cilk_begin; int n = atoi(argv[1]); dr_start(0); long x; spawn_(x = cilk_spawn bin(n)); cilk_sync_; dr_stop(); printf("bin(%d) = %ld\n", n, x); dr_dump(); cilk_return(0); }
And here is Cilk version.
#include <stdio.h> #include <stdlib.h> #include <cilk/cilk.h> long bin(int n) { if (n == 0) return 1; else { long x, y; x = cilk_spawn bin(n - 1); y = cilk_spawn bin(n - 1); cilk_sync; return x + y; } } int main(int argc, char ** argv) { int n = atoi(argv[1]); long x; x = cilk_spawn bin(n); cilk_sync; printf("bin(%d) = %ld\n", n, x); return 0; }
This source code can be compiled with and without DAG Recorder.
g++ -fcilkplus bin_cilkplus_dr.c
g++ -fcilkplus -DDAG_RECORDER=2 bin_cilkplus_dr.c -ldr
cilkc bin_cilk_dr.cilk
cilkc -DDAG_RECORDER=2 bin_cilk_dr.cilk -ldr
Instrumeting Cilk or CilkPlus programs is admittedly more burdensome
than instrumenting OpenMP or TBB. The main reason for this is that
Cilk’s spawn
statement and CilkPlus’s cilk_spawn
statement create a task
that executes the body of a procedure, rather than an entire
procedure call statement, so we need to mark the beginning of the called
procedure as the beginning of the task. That’s why you need to insert
cilk_begin
. The difference between the two is subtle, but
consider the following example.
spawn f(g(x));
In this Cilk code, evaluation of g(x)
is not performed by the
spawned task, so there is no way to mark the beginning of the task by
tweaking macros that receive the entire procedure call statement.
In contrast, a similar TBB code:
tg.run([=] { f(g(x)); });
spawns a task that performs f(g(x))
entirely.
To make matters even simpler, the task spawning primitive
is just another method rather than a builtin syntax,
which we can transparently instrument by having another
class that implements run
method.
Previous: Using DAG Recorder with Cilk and CilkPlus, Up: Writing Programs That Use DAG Recorder [Contents]
Just give -DDAG_RECORDER=2 and respective linker options (e.g., -lmyth-native -ldr -lpthread) to the command line.
TODO: more detailed and reader-friendly description.
Next: dag2any DAG to any data converter, Previous: Writing Programs That Use DAG Recorder, Up: DAG Recorder [Contents]
| • Basics of Running Your Programs with DAG Recorder: | ||
| • Controlling the Behavior of DAG Recorder: |
Next: Controlling the Behavior of DAG Recorder, Previous: Running Your Programs with DAG Recorder, Up: Running Your Programs with DAG Recorder [Contents]
Once you obtained an executable compiled and linked with DAG Recorder, you can run it just normally.
$ ./bin_mtbb_dr 20 bin(20) = 1048576
You will find the following three files generated under the current directory.
 We believe this overhead
is rarely an issue, but if you want to completely eliminate this
overhead, compile the program without DAG_RECORDER=2
.
Previous: Basics of Running Your Programs with DAG Recorder, Up: Running Your Programs with DAG Recorder [Contents]
The behavior of DAG Recorder can be controlled either from within the
program or by environment variables; you can pass a pointer to
dr_options
structure to dr_start
, which has been 0 in the
examples we have shown so far. If the argument to dr_start
is
null (zero), options can be set via environment variables. We will
illustrate how they work.
First about environment variables. Run the program with setting the
environment variable DR_VERBOSE
to 1
, and you will see the
list of environment variables and their values printed by
dr_start
. You will also see messages about files generated by
dr_dump
.
$ DR_VERBOSE=1 ./bin_mtbb_dr 10 DAG Recorder Options: dag_file_prefix (DAG_RECORDER_DAG_FILE_PREFIX,DR_PREFIX) : 00dr dag_file_yes (DAG_RECORDER_DAG_FILE,DR_DAG) : 1 stat_file_yes (DAG_RECORDER_STAT_FILE,DR_STAT) : 1 gpl_file_yes (DAG_RECORDER_GPL_FILE,DR_GPL) : 1 dot_file_yes (DAG_RECORDER_DOT_FILE,DR_DOT) : 0 text_file_yes (DAG_RECORDER_TEXT_FILE,DR_TEXT) : 0 gpl_sz (DAG_RECORDER_GPL_SIZE,DR_GPL_SZ) : 4000 text_file_sep (DAG_RECORDER_TEXT_FILE_SEP,DR_TEXT_SEP) : | dbg_level (DAG_RECORDER_DBG_LEVEL,DR_DBG) : 0 verbose_level (DAG_RECORDER_VERBOSE_LEVEL,DR_VERBOSE) : 1 chk_level (DAG_RECORDER_CHK_LEVEL,DR_CHK) : 0 uncollapse_min (DAG_RECORDER_UNCOLLAPSE_MIN,DR_UNCOLLAPSE_MIN) : 0 collapse_max (DAG_RECORDER_COLLAPSE_MAX,DR_COLLAPSE_MAX) :<PHONE_NUMBER>606846976 node_count_target (DAG_RECORDER_NODE_COUNT,DR_NC) : 0 prune_threshold (DAG_RECORDER_PRUNE_THRESHOLD,DR_PRUNE) : 100000 alloc_unit_mb (DAG_RECORDER_ALLOC_UNIT_MB,DR_ALLOC_UNIT_MB) : 1 pre_alloc_per_worker (DAG_RECORDER_PRE_ALLOC_PER_WORKER,DR_PRE_ALLOC_PER_WORKER) : 0 pre_alloc (DAG_RECORDER_PRE_ALLOC,DR_PRE_ALLOC) : 0 dag_recorder: writing dag to 00dr.dag dr_pi_dag_dump: 28648 bytes dag recorder: writing stat to 00dr.stat dag recorder: writing parallelism to 00dr.gpl bin(10) = 1024
Uppercase names within parentheses are environment variables you might want to
set. They start with a prefix DAG_RECORDER_
and many of them
have a shorter version that begin with DR_
. The list will change
as our experiences accumulate. Below is the list of frequently used
variables (consider other variables are still experimental).
| variable | default | description |
|---|---|---|
DR_DAG_PREFIX | 00dr | Prefix of all files below |
DR_DAG | 1 | 1 if generate a DAG file (to DR_DAG_PREFIX .dag) |
DR_STAT | 1 | 1 if generate a summary stat file (to DR_DAG_PREFIX .stat) |
DR_GPL | 1 | 1 if generate a parallelism profile file (to DR_DAG_PREFIX .gpl) |
DR_DOT | 0 | 1 if generate a DAG file in a graphviz format (to DR_DAG_PREFIX .dot), which can be converted into viewable images by the dot command. You need to have graphviz package installed in yours system |
DR_TEXT | 0 | 1 if generate a human-readable text-formatted DAG file (to DR_DAG_PREFIX .txt). Specify this when you want to inspect raw data |
DR_TEXT_SEP | | | The field delimiter used in the text-formatted DAG file |
DR_VERBOSE | 0 | Set verbosity |
DR_COLLAPSE_MAX | a huge value | Determine how aggressively the DAG Recorder collapses subgraphs. Specifically, the value determines an upper bound of time (in clock cycles) any single node resulted from collapsing a subgraph can span. In other words, any single node in the DAG represents either a true single node (i.e., performed no tasking primitives) or a subgraph that took shorter than this number of clocks. The default is a huge value, which means the system can collapse subgraphs as much as it can. Set it to a small value to guarantee a minimum resolution. |
Let us move on to the second method, which is to control the behavior
from your program. As briefly noted above, this is done by passing a
pointer to dr_options
structure to dr_start
. See
PREFIX/include/dag_recorder.h for the list of fields. Note
that field names were also displayed with DR_VERBOSE=1
option
above. For example, the line:
dag_file_prefix (DAG_RECORDER_DAG_FILE_PREFIX,DR_PREFIX) : 00dr
tells you dag_file_prefix
is the field name you want to set to change
the prefix of generated files.
When you change some of these fields, you will want to leave other
fields to their default values. dr_options_default(opts)
is the function that fills the structure pointed to by opts
with default and environmentally-set values. So, the typical sequence you want to use will be:
dr_options opts[1]; dr_options_default(opts); opts->dag_file = ...; opts->whatever_you_want_to_change = ...; ... dr_start(opts);
Next: Viewing Recorded Data, Previous: Running Your Programs with DAG Recorder, Up: DAG Recorder [Contents]
about dag2any
Next: Querying Recorded Data, Previous: dag2any DAG to any data converter, Up: DAG Recorder [Contents]
Tools to view DAG Recorder data are still ad-hoc; ideally there should be a single tool to view the same data from many angles. As of writing, there instead is an interactive tool to show parallelism profile and a set of files derived from the DAG data, viewable by standard tools such as gnuplot. We will continue to work on developing tools to analyze DAG data from many angles and unify their user interfaces.
| • Viewing Parallelism Profile with gnuplot : | ||
| • Visualizing the DAG via graphviz: | ||
| • Understanding Stat File: | ||
| • Viewing DAG file with drview: |
Next: Visualizing the DAG via graphviz, Previous: Viewing Recorded Data, Up: Viewing Recorded Data [Contents]
By default, programs traced by DAG Recorder generates a parallelism profile as a gnuplot file. You can simply view it by gnuplot. A parallelism profile looks like this.
The horizontal axis represents time (in clock cycles) and the vertical axis the number of tasks of various conditions, indicated by colors.
For example, consider the following program:
#include <mtbb/task_gorup.h> int main() { mtbb::task_group tg; a(); tg.run([=] b()); c(); tg.wait(); d(); }
and the DAG resulting from executing this program.
The label of an edge indicates how the node it points to is classified
when its source node has finished. For example, the node q is
counted as create, from the time when p finished (i.e., the task
entered tg.run([=] { b(); })
) to the time when q started.
p” becomes available when both q and p’ finished, so how it is classified depends on which of them finished last. If q finished later than p’, it is classified as end; otherwise as wait cont.
In most cases, your primary interest will be in “running.” If this stays constant around the number of workers used, it means the same number of cores are maximally utilized (as long as the operating system runs each worker on a distinct core). If it is not the case, that is, there are intervals in which the number of running tasks is lower than the number of workers used, you should check if there are enough available tasks.
If there are no or little available tasks in an interval, it means your program did not have enough tasks in that interval, so you might have to consider increasing the parallelism in that interval. In some cases you have simply left some section of your code left not parallelized at all, which is easily visible in the parallelism profile. A tool drview will help you spot source code locations when this happens. see Viewing DAG file with drview.
If, on the other hand, available tasks are abundant, it means the runtime system, for whatever reasons, was not able to fully exploit available parallelism. There are several possible reasons for this.
Next: Understanding Stat File, Previous: Viewing Parallelism Profile with gnuplot, Up: Viewing Recorded Data [Contents]
You can generate the DAG captured by DAG Recorder, by setting
environment variable DAG_RECORDER_DAG_FILE
(or DR_DAG
) to the filename
you want to have it in. The file is a text file of a graphviz dot
format, which can then be transformed into various graphics format by
graphviz tool dot.
Since a program easily generates a DAG of millions or more nodes, this feature will be useful only for short runs.
For example, you can see the DAG by any SVG viewer by the following procedure.
$ DR_DAG=00dr.dot ./a.out $ dot -Tsvg -o 00dr.svg 00dr.dot $ any-svg-viewer 00dr.svg
See graphviz package and dot manual for further information about the dot tool.
When you use this feature to visualize the true topology of the DAG your
program generated, you might want to turn off the subgraph contraction
algorithm DAG Recorder implements to save space. To this end, you can
set DR_COLLAPSE_MAX
environment variable to zero.
$ DR_COLLAPSE_MAX=0 DR_DAG=00dr.dot ./a.out $ dot -Tsvg -o 00dr.svg 00dr.dot $ any-svg-viewer 00dr.svg
Next: Viewing DAG file with drview, Previous: Visualizing the DAG via graphviz, Up: Viewing Recorded Data [Contents]
By default, programs traced by DAG Recorder generates a small text file that summarizes various pieces of information of the execution. You can view it by any text editor. Here is an example.
create_task = 1048575 wait_tasks = 1048575 end_task = 1048576 work (T1) =<PHONE_NUMBER> delay =<PHONE_NUMBER> no_work = 11285973 critical_path (T_inf) = 91285263 n_workers (P) = 4 elapsed =<PHONE_NUMBER> T1/P = 328256709.000 T1/P+T_inf = 419541972.000 T1/T_inf = 14.384 greedy speedup = 3.130 observed speedup = 0.507 observed/greedy = 0.162 task granularity = 9601.938 interval granularity = 3200.645 dag nodes = 5242877 materialized nodes = 351 compression ratio = 0.000067 end-parent edges: 266182 7 7 1 1 253506 16 2 0 8 280326 5 1 4 9 248486 create-child edges: 266204 0 0 0 0 253527 0 0 0 0 280342 0 0 0 0 248502 create-cont edges: 266187 7 6 4 2 253514 9 2 3 7 280329 3 4 3 0 248495 wait-cont edges: 266183 0 1 0 0 253531 0 0 1 0 280361 0 0 0 0 248498 other-cont edges: 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
create_task | The number of times tasks are created, not including the main task. |
wait_tasks | The number of times wait operations are issued. Each wait may wait for multiple tasks, so this number may not match create_task |
end_task | The number of times tasks are ended. This should be create_task + 1. +1 is because the former does not include the main task, but end_task does. |
work (T1) | The cumulative time (clock cycles) spent in executing the application code. Total across all cores. This does not include time spent in the runtime system (e.g., task creation overhead). If the application perfectly scales, this number should be constant no matter how many cores you used for execution. This is the area of the “running” region in the parallelism profile graph. |
delay | The cumulative time available tasks are not executed despite there are “spare” cores not executing any task. This is the area of “available” region below the horizontal line at the number of cores in the parallelism profile graph. This value would be zero under a hypothetical “genuinely greedy” scheduler, a scheduler which immediately dispatches any available task to if any available core, without any delay or whatsoever. |
no_work | The cumulative time cores spent without available tasks. This is the area not filled by running or available tasks below the horizontal line at the number of cores in the parallelism profile graph. |
The following is a conceptual model to understand what each of them is. Imagine we stop all workers at each processor cycle and count the number of tasks running (= R), as well as the number of tasks available but not running (= A).
Let W = the number of workers. In this setting,
T1
is the total of R over all cycles
delay
is the total of min(A, W - R) over all cycles
no_work
is the total of min(0, W - R - A) over all cycles
Observe that at any point, the sum of the three terms is always W. Therefore, it always holds that
T1
+delay
+no_work
= W x elapsed time
In other words, T1, delay
, and no_work
give a
breakdown of the whole execution time. Perfectly scalable
executions have T1
approximately the same as that of serial
execution and have both delay
and no_work
nearly zero.
They in general give you a quantitative information on why your
application does not ideally scale.
Applications that do not have enough parallelism will have large
no_work
, those that have enough parallelism that cannot
be utilized by the runtime system will show a large delay
value,
and those that have their work time increased (presumably due to
cache misses due to inter-core communication, false sharing, or
capacity overflows on shared caches) will show a T1
value
significantly larger than that of serial execution.
critical_path (T_inf) | Critical path of the DAG. This is the longest time spent in a path in the DAG. The time does not include time spent in the runtime system. |
n_workers (P) | The number of workers that participated in the execution. This is the value DAG Recorder observed during execution and, in rare occasions, may not match the number of cores you asked the runtime system to use. If, for example, the program was so short lived or created so few tasks that some cores were not used at all, you may observe a number smaller than the number you specified. |
elapsed | Elapsed time (clock cycles) of the application.
As we stated above, elapsed x P should match the sum
of T1, delay, and no_work . |
T1/P | This is simply T1 divided by P .
This gives an obvious lower bound on achievable elapsed time. |
T1/P+T_inf | This is simply T1 divided by P .
This gives an upper bound of elapsed time by a hypothetical greedy
scheduler. If the scheduler is “greedy enough” (available tasks
will be executed quickly enough as long as there is an available core),
the elapsed time you observed should be close to this value. |
T1/T_inf | This is simply T1 divided by T_inf ,
or the “average parallelism” of the execution. In general, if you
hope your application to scale, this value should be much larger than
the number of cores you hope to utilize. |
greedy speedup | The speedup that should be achieved
by a hypothetical greedy scheduler. It is, T1 divided
by T1/P+T_inf . |
observed speedup | The actual speed up observed,
which is T1 divided by elapsed time . |
observed/greedy | The ratio of the above two terms. It indicates how greedy the scheduler was. |
| task granularity | This is the average number of cycles
between to task creations. That is, T1 divided by
the number of tasks. |
| interval granularity | This is the average number of cycles spent in a single DAG node, or cycles between any two consecutive task parallel operations (e.g., a task creation followed by a sync). |
| dag nodes | The number of DAG nodes if there would be no contraction. |
| materialized nodes | The number of nodes after DAG contraction.
If DR_COLLAPSE_MAX=0 (DAG contraction turned off), this should
equal to dag nodes. If this value is large (default) and you use
only a single core, this is always one! |
| compression ratio | The ratio between the two. DAG contraction is more effective (thus the value is small) when many large subgraphs are executed in a single core, and thus are contracted. |
| end-parent edges | This matrix counts edges from the last node of a task to the node that follows a wait operation that synchronized with the task. |
| create-child edges | This matrix counts edges from a task creation node to the first node of the created task. |
| create-cont edges | This matrix counts edges from a task creation node to its continuation in the same task. |
| wait-cont edges | This matrix counts edges from
a synchronization node (a node that ends by issuing OpenMP
taskwait ,
TBB task_group::wait() method,
Cilk sync statement, etc.) to its continuation in
the same task. |
| other-cont edges | This matrix counts edges from a node that ends by entering the runtime system for any reason other than task creation or synchronization to the node that starts after the operation. |
Previous: Understanding Stat File, Up: Viewing Recorded Data [Contents]
drview
is a tool that shows parallelism profile of an execution
and allows you to zoom into an interval in it. This way it helps you
pinpoint tasks executing when parallelism was low.
Prerequisites: drview
is a python script that
relies on the following libraries.
Please make sure you should be able to import respective python modules
(matplotlib
and gtk
).
To use drview
, you first need to convert the .dag file
generated by DAG Recorder into
SQLite3 format using dag2any
tool described above.
Then you pass the resulting
SQLite3 file to drview
.
TODO: We are planning to improve this crude interface, so you can
directly give a .dag
file to drview.
$ dag2any 00dr.dag writing sqlite3 to 00dr.sqlite basics: ........................................ nodes: ........................................ edges: ........................................ strings: ........................................ committing $ drview 00dr.sqlite
This will bring up the user interface window.
BUG: The initial configuration of panes is far from satisfactory. Please adjust their sizes manually by grabbing borders between panes. I am still trying to figure out how to configure their sizes.
After manually adjusting pane sizes, you will obtain something like this.
On the leftmost pane, you see the parallelism profile, the same information you can see by the gnuplot-formatted parallelism profile. see Viewing Parallelism Profile with gnuplot.
On the center pane is the list of DAG nodes executed. Each row represents a group of nodes that share the same start and end positions. They are ordered by the total number of cycles spent in the group of tasks. If you double-click on a row, the right pane shows the source code of the corresponding location. By clicking somewhere in the “start” or “end” column, the source code pane will display the group’s start or end position, respectively.
The most useful feature of this tool is that you can zoom into an interval of your interest in the parallelism pane. Hold the left button of the mouse pushed and specify a rectangular region in the parallelism pane, and you will see the parallelism and the task panes redrawn to reflect the tasks executed in the selected interval. This way, you can easily know the source locations of low parallelism.
Previous: Viewing Recorded Data, Up: DAG Recorder [Contents]


E-mail successfully sent
"{{ article.title }}" was successfully sent to {{ cd.to }}.
{% else %}{% extends "swint/base.html" %} {% block main %} {% url 'swint-category-detail-view' article.category.name as category_url %}
"{{ article.title }}" was successfully sent to {{ cd.to }}.
{% else %}


At #GreatWar100 we will be unveiling a unique art installation as a memorial to those who participated in the Great War.
But we can't create it alone. You can ensure that your ancestor or research subject is part of the piece by providing us with a photograph of them.
"I certify that I have the right to reproduce this image and that I give permission for it to be used in the manner described by #GreatWar100"
If you're like us, you've spent years wandering flea markets, car boot sales and eBay adopting those sad, unnamed images and postcards of WW1 personnel, not knowing what you actually want to do with them. Well we've rooted all of ours out for this unique centenary project and we can use yours too! You will receive the same credit in the contributors list and your man/woman will be allocated a number.
We realise that not everyone is lucky enough to have an image of their ancestor. For £5 you can have a name added to the dedication. All donations will go to the cost of producing the memorial and any profits will be donated to Veterans In Action. Make sure that you provide us both with your name as you would like it to appear in the list of contributors as well as that of your submission when you click the button below.


Plugin Trick: Render with canvas
Use Media Manager's custom events to insert text at specific times, with simple animations:
{origin: fromLeft, text: Welcome-to-Media-Manager}
data-sdlm-mm-canvas-effects='text'
data-sdlmm-canvas-text='{"text": "Text inserted into the video", "x" : 100, "y" : 200}'


@(user: models.User) @import helper._ @questionFieldConstructor = @{ FieldConstructor(fieldConstructor.questionInputFieldConstructor.render) } @selectFieldConstructor = @{ FieldConstructor(fieldConstructor.answerNumberSelectFieldConstructor.render) } @selectDocumentsFieldConstructor = @{ FieldConstructor(fieldConstructor.answerNumberSelectFieldConstructor.render) }
Test your Simpsons knowledge and play alone.
For each correct answered question you score 10 points.
Test your Simpsons knowledge and compete with your friend in a local duell.
If you know the answer buzz by pressing a key! (Player A with S, Player B with K)
For a correct answer you score 20 points but consider: if your answer is wrong, you will loose 10 points!
If your friend's answer was wrong, you get the chance to give the right answer for which you will earn 15 points without the risk of losing any points!
It's Player A's turn!
Loading Question...
Player A buzz with S and Player B buzz with K.


Realme 5s is a Realme 5 but with a 48MP quad camera setup and a new red color
by Tushar MehtaRealme and Xiaomi’s sub-brand have a lot in common. Both of the brands offer impressively specced smartphones at fiercely competitive pricing. Of the two, Realme has witnessed a much more staggering growth over the past several months and that is probably because of their relentless launches new phones every month. But today, Realme is following Redmi’s footsteps and revitalizing a few months old smartphone with a new camera setup. Alongside their first true flagship – Realme X2 Pro, Realme is launching the Realme 5s which comes with a 48MP primary camera.
In August this year, Realme launched its first set of quad-camera smartphones viz. the Realme 5 and the Realme 5 Pro. While the Pro variant comes with a 48MP Sony IMX586 sensor, the non-Pro features a 12MP primary camera. To bridge this gap, Realme has announced the Realme 5s, which features a 48MP primary camera while the rest of the specs remain the same. Notably, Realme is using a 48MP Samsung ISOCELL Bright GM1 sensor here instead of the Sony sensor we saw on the previous 48MP phones from the company.
Additionally, Realme has also introduced a new Crystal Red color with the same design as the previous generations. Another slight change on the new smartphone is the Gorilla Glass 3+ protection on the front compared to the Gorilla Glass 3 on the Realme 5. Additionally, the Realme 5s comes only with 4GB of RAM but no 3GB/32GB variant. All of the other aspects, including the 6.5-inch HD+ display, Snapdragon 665 SoC, 5,000mAh battery, etc. remain unchanged.
Realme 5s Specifications
| Specifications | Realme 5s |
|---|---|
| Dimensions & Weight | • 164.4 x 75.6 x 9.3 mm • 198g |
| Display | • 6.51-inch IPS LCD • 720 x 1600 • 89% screen-to-body ratio • Gorilla Glass 3+ |
| SoC | • Qualcomm Snapdragon 665 • Adreno 610 GPU |
| RAM | 4GB |
| Storage | 64GB/128GB Dedicated microSD slot |
| Battery | 5,000mAh |
| Fingerprint Sensor | Rear-mounted fingerprint |
| Rear Camera | • 48MP Samsung ISOCELL Bright GM1 primary sensor, f/1.8 • 8MP 119° wide-angle sensor, f/2.25 • 2MP macro lens, f/2.4 • 2MP depth sensor, f/2.4 • 4K video recording at 30fps |
| Front Camera | • 13MP, f/2.2 • Full HD video recording @ 30fps |
| Android Version | ColorOS 6 based on Android 9 Pie |
| Colors | Crystal Red, Crystal Blue, Crystal Purple |
Price & Availability
The Realme 5s goes on sale as a Flipkart exclusive device starting November 29, 2019. The 64GB storage variant will be priced at ₹9,999 ($139) whereas the 128GB version will be priced at ₹10,999 ($153). Realme will continue to sell the Realme 5 in the country.


Fecha_Creacion: 2017-12-29T19:55:54.672Z
Dimension: Fantasy Dimension
Id_Locacion: 48
Nombre: Fantasy World
Residentes: ['https://rickandmortyapi.com/api/character/41', 'https://rickandmortyapi.com/api/character/193', 'https://rickandmortyapi.com/api/character/238', 'https://rickandmortyapi.com/api/character/333']
Tipo: Planet
URL: https://rickandmortyapi.com/api/location/48


What is your main focus for today?
Inbox
×
Add a todo to get started
New Todo


 The subject matter, while not inherently uninteresting, doesn't break barriers or attempt anything radical. The script is solid and effective, but not extraordinary. The director, first time film maker Carine Adler, shows promise but lacks polish, in part because her verite approach bears a resemblance to the styles of Mike Leigh and Ken Loach (the cinematographer, Barry Ackroyd, is a longtime Loach collaborator). But all of these things pale into insignificance in the light of UNDER THE SKIN's principal performance, a stunning debut by 20 year-old Samantha Morton.
The film is an examination of unresolved grief, and the way it can erode a person's identity. Iris (Morton) and Rose (Claire Rushbrook) are sisters. Iris is the younger, wilder child; Rose, who is five years older, is happily married and pregnant. The two of them are subtle rivals for the love and attention of their aging mother (Rita Tushingham), but, when Mum dies unexpectedly, it widens the gulf between the two girls rather than bringing them together. Rose reacts to the tragedy as one might expect – she is sad and cries, then gets on with her life. Iris, however, doesn't shed a tear and shows contempt for her sister's grief, but her personality starts to disintegrate. She begins a search for something (comfort? affection? attention?) that throws her into a downward moral spiral of sex-and-alcohol binges.
Morton makes Iris real. Every moment she's on screen, the actress forces us to accept Iris as a living, breathing individual. This is a raw, riveting performance – deeply moving and free of artifice. Morton handles the complete range of emotions expertly, from the subtle (watch the longing in her face as she observes a choir singing) to the overt (a wrenching breakdown). In committing herself totally to this portrayal, she gives Adler everything she has, allowing herself to be captured on camera in a state of both physical and emotional nakedness.
Morton is backed by a fine supporting cast. Claire Rushbrook, who is perhaps best known for a role in Mike Leigh's SECRETS & LIES, fashions Rose into a three-dimensional individual. The character has the difficult task of balancing anxiety for her sister with her own family concerns and sense of loss, so what seems like self-absorption is really a defense mechanism. Rita Tushingham, a star from the '50s and '60s, has a small role as Iris and Rose's mother. Stuart Townsend, one of the principals in SHOOTING FISH, is Tom, one of Iris' lovers.
Adler's approach, which includes a lot of hand-held camera shots to achieve a documentary-like look, is effective in bringing out the best in Morton's performance. UNDER THE SKIN is emotionally potent; we are not left on the outside looking in. It's important to the director that viewers become absorbed in Iris' sordid world, and that we feel her despair and confusion. There's a note of hope at the end that keeps us from leaving the theater in a suicidal funk.
Before being picked up by Arrow Entertainment for a limited U.S. theatrical run (the distributor is too small to finance anything large), UNDER THE SKIN made its way around the festival circuit, playing to world-wide acclaim. It won the 1997 Toronto Film Festival International Critics Award, the 1997 Edinburgh International Film Festival Michael Powell Award for Best British Feature, and was an official selection for the 1998 Sundance Film Festival. While such a landslide of recognition doesn't always guarantee quality, this is a case when at least a portion of the accolades is deserved. UNDER THE SKIN is a fine movie, and features one of the best debut performances of the year.
Copyright 1998 James Berardinelli
- James Berardinelli e-mail<EMAIL_ADDRESS>Now with more than 1400 reviews... The ReelViews web site: http://movie-reviews.colossus.net/
"My belief is that no movie, nothing in life, leaves people neutral.
-- David Puttnam
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


---
layout: default
permalink: /resume/
---
Ilia Lebedev, Computer Security at MITResume
I seek a career opportunity pushing the state-of-the-art in computer science, systems, and security, while also advancing public good. I have a passion for open education, especially in computer science and security, and attempt to frame my work in the context of social equity.


Simple Interest Calculator
Amount
Rate:
10.5%
No. of Years
1
2
3
4
5
6
7
8
9
10
Compute Interest
Ⓒ Everyone Can Get Rich


This button-group wrapped in the grid should be left aligned and auto button size
Should be same as:
This button-group wrapped in the grid should be right aligned and auto button size
Should be same as:
This button-group wrapped in the grid should be expanded
Should be same as:
This button-group wrapped in the grid should be align-justify
Should be same as:
This button-group wrapped in the grid should be align-spaced
Should be same as:
This button-group wrapped in the grid should be align-center
Should be same as:


{% extends 'accounts/base.html' %} {% load crispy_forms_tags %} {% block title %}
Your password has been reset.


Each bubble represents a cluster of UCCs with similar histograms. Click on them for a detailed view of the contained UCCs. Click on a UCC to see its histogram.


--- layout: page title: About header-img: "img/about-bg.png" ---
Hi, I am Rathi. I am an engineer with a bachelor’s degree in electronics and communications. Ever since I was a student in engineering, I was interested in web technologies and after moving to New York from India, I decided to further my education by learning to code and building my own apps. My favorite app to date is Instaphogram, which I built from beginning to end using Ruby on Rails. You can check out below in the projects section!
The beauty of web technology that I appreciate the most is its ability to connect the world through any platform and any device, and I love watching projects grow from nothing to a complete working module.


What is Mary is holding on to in this NSFW stained glass window?
Picture the scene: You kneel before the Priest (not in a Fleabag way) and open your mouth to receive the body of Christ in the form of a little tasteless wafer.
You look up in reverence at the sacrifice made by Jesus to save us all from our sins.
But, what you’re looking up at isn’t Christ on the crucifix or a mere altar. No, you’re looking up at a stained glass window that appears to show a very different part of the body of Christ.
Twitter user Rosievix was at a service this Sunday and noticed this rather unfortunate effort at shading
In a tweet, they wrote: ‘What, exactly…, is Mary holding ??’ You’re asking us.
What the artist seemed to be getting at was some sort of imagining of The Pietà by Michaelangelo.
Advertisement Advertisement
In this sculpture, the Virgin Mary is seen holding her son in her arms after he was crucified.
However, this artist – in an effort to show the darker shading in Jesus’ inner thigh – has accidentally made it look like he’s packing a Bratwurst in his robes.
There obviously wasn’t some sort of blasphemy checker in residence when the piece was installed in the currently-unidentified church. Commenters on the original tweet also seem similarly unbothered by the potential they may be smote for their impiety.
One commenter replied: ‘You can’t spell resurrection without… erm… urrection.’
Another said: ‘The second coming?’ which was countered with a suggestion that this depicted ‘The staff of life.’
Further sacrilege took place when this other stained window – of Jesus and John the Baptist – was posted as a reply.
Basically, instead of passing around a collection bucket for a new roof, these places of worship are going to have to ask for donations to fix their NSFW windows.
That stands for Not Safe for Worship, if you didn’t know.


[1]
Bright Screen, Customizable, Clear Screen, Memory; Freezes up sometimes.
[2]
Full USA Manufacturer's Warranty; USA Brand New & Free Shipping
[3]
limited qiuck access menu; nothing but hype advertisement.


include "views/_header.html"
include "views/_hero.html"
include "views/_one_column_button.html"
include "views/_bg_with_text.html"
include "views/_two_columns.html"
include "views/_three_columns.html"
include "views/_thumbnail_left.html"
include "views/_thumbnail_right.html"
include "views/_spacer.html"
include "views/_one_column.html"
include "views/_footer.html"
include "views/_full_bleed_bg.html"


{% extends 'oscar/checkout/payment_details.html' %} {% load i18n %} {% block payment_details %}
{% trans "Click on the below icon to pay using Razorpay but where the shipping address and method is already chosen on the merchant site." %}


Sweet City
there's a lot to discover in your town
Automobile
The true fan club
Arrow Shmallow
Best Services
Radio Header
Listen to the music!
Energizer
The Smarter Power
Brickyton
We build everything


Coding Standard for AEM
HTML & CSS for ComOn components
Creating components for use in the AEM publishing system differs a bit from creating stand alone applications. Basically, most of the things an editor needs is already in place and all that needs to be done is to develop for the current component. That is done using basic web technologies as HTML, CSS and JavaScript.
Corporate UI coding standard
ComOn components apply the same coding standard as other projects at Scanai and you'll use parts of Scania's Corporate UI framework (HTML, CSS classes and UI Components) when doing your implementation. An overview of the Corporate UI () can be found here:
The Hello World component
To kickstart your learning, we'll have a look at the classic "Hello World" example. To develop any kind of component, you'll need to use a Bootstrap based wrapper as shown in the sample below.
Hello World!
This is my first component...
ComOn starter kit at GitHub
Get all the templates and sample components from Scania's internal GitHub repo for Adobe Experience Manager.


manipulation des processus
ps
The ps
Command - www.linfo.org
lister tous les processus actifs sur le système
$ ps -ef
filtrer la liste précédente avec des mots clefs
# filtrer la liste avec le mot clef "jboss"
$ ps -ef | grep jboss
htop
htop official website hishamhm/htop - github.com
htop is an interactive text-mode process viewer for Unix systems. It aims to be a better ‘top’.
htop explained - peteris.rocks/blog - 20170102
System process monitoring with Htop - codeforgeek.com - 20141222
install
sudo apt-get install htop
view management
F2 to customize layout (add columns, etc …).
F5 to toggle the view between list view or tree view.
In list view, F6 is used to sort the list.
In tree view, F6 is used to expand / collapse nodes.
Process are colored in white, and threads in green.
Filter the view with F4 and type the command used to launch the process you want to filter.
For example to filter all Node.js processes just type node
.
signals
Select a process and F9, it opens a list of signals to send to the process.


Cocktail of the week: Bancone’s amaresso martini recipe
by Bruno di MartinoAlmost as much a boozy dessert as a cocktail, this is the ultimate almond-scented coffee cocktail to sip by the fireside of an autumn evening
If you’ve ever got any espresso left over in the pot after breakfast, don’t pour it down the sink; pour it into a sealed container, save it and use it up in this cosy cocktail when you get home in the evening.
Serves 2
30ml amaretto – we use Disaronno
30ml Kahlua
30ml room-temperature espresso
A scattering of toasted ground almonds, to garnish
Fill a shaker with ice, pour in the liqueurs and coffee, and shake vigorously for 10-20 seconds – the more you shake, the more froth you’ll create. Strain into two martini glasses, garnish with toasted ground almonds and serve.
• Bruno di Martino, Bancone, London.


Rotten Movies We Love Screenings at Alamo Drafthouse: The Holiday, The 'Burbs, The Craft
Gather your coven for these very fun, very Rotten throwback screenings at your local Alamo Drafthouse.
by RT StaffHere at Rotten Tomatoes, we don’t think Fresh movies should get all the fun. In our first book, Rotten Movies We Love, released this October, we celebrate cult classics, underrated gems, and unfairly maligned sequels that may be Rotten but have found a place in our hearts. Movies like Step Brothers, Jennifer’s Body, and Empire Records. (Yes: Just like you, we can’t believe they’re Rotten either!)
To celebrate the launch of the book and show our love for Rotten movies that are most definitely worth your time, we’ve teamed up with Alamo Drafthouse for a series of screenings of three awesome Rotten films: The Craft (screening in October), The ‘Burbs (screening in November), and The Holiday (screening in December).
To find a screening near you, check out the links below:
- The Craft Movie Party screenings – OCTOBER
- The ‘Burbs screenings – NOVEMBER
- The Holiday screenings – DECEMBER
Thumbnail image: © Columbia/courtesy Everett Collection


Send
Run
Break
Reset
Step over
Step into
pc
z
x8
ra
x9
sp
x10
x3
x11
x4
x12
x5
x13
x6
x14
x7
x15
-
+
Load
======================================== SPECIFICATIONS ======================================== CPU: RISC-V (RV32EM) - 32bit - 13 general purpose registers - multipliy, divide instructions RAM: 1MiB - 20KiB reserved for IO Screen: - 64x64 pixels - 24bit RGB Sound: - 3 square waves - 1 noise Gamepad: - D-pad - A, B, X, Y - Start Timers Serial terminal ======================================== INSTRUCTION SET ======================================== Load: lw rd, off(rs) (rd = mem[rs+off]) lh rd, off(rs) (16bit lw) lhu rd, off(rs) (unsigned lh) lb rd, off(rs) (8bit lw) lbu rd, off(rs) (unsigned lb) (off is 12bit signed) lui rd, imm (rd = imm << 12) auipc rd, imm (rd = PC + (imm << 12)) (imm is 20bit unsigned) Store: sw rs2, off(rs1) (mem[rs1+off] = rs2) sh rs2, off(rs1) (16bit sw) sb rs2, off(rs1) (8bit sw) (off is 12bit signed) Math: add rd, rs1, rs2 (rd = rs1 + rs2) addi rd, rs1, imm (rd = rs1 + imm) sub rd, rs1, rs2 (rd = rs1 - rs2) sra rd, rs1, rs2 (rd = rs1 / 2^rs2) srai rd, rs1, imm (rd = rs1 / 2^imm) (imm is 12bit signed) Bitmath: and rd, rs1, rs2 (rd = rs1 & rs2) andi rd, rs1, imm (rd = rs1 & imm) or rd, rs1, rs2 (rd = rs1 | rs2) ori rd, rs1, imm (rd = rs1 | imm) xor rd, rs1, rs2 (rd = rs1 ^ rs2) xori rd, rs1, imm (rd = rs1 ^ imm) sll rd, rs1, rs2 (rd = rs1 << rs2) slli rd, rs1, imm (rd = rs1 << imm) srl rd, rs1, rs2 (rd = rs1 >> rs2) srli rd, rs1, imm (rd = rs1 >> imm) (imm is 12bit) Compare: slt rd, rs1, rs2 (rd=(rs1
=rs2 ? PC+=imm) bgeu rs1, rs2, imm (unsigned bge) (imm is 13bit ?signed?, 16bit aligned) Jump: jal rd, imm (rd=PC+4, PC+=imm) (imm is 21bit ?signed?, 16bit aligned) jalr rd, rs1, imm (PC+rs1 jal) (imm is 12bit ?signed?) System: ebreak (break) csrw mie, 0 (disable interrupts) csrw mie, 1 (enable interrupts) mret (return from interrupt) wfi (wait for interrupt) ======================================== ASSEMBLER DIRECTIVES ======================================== ======================================== MEMORY MAP ======================================== 0x00000-FAFFF Code 0xFB000-FEFFF screen framebuffer 0xFF000-FF0FF serial registers 0xFF100-FF1FF timer registers 0xFF200-FF2FF sound registers 0xFF300-FF3FF gamepad registers 0xFF400-FFFE7 reserved 0xFFFE8 serial interrupt vector 0xFFFEC timer 0 interrupt vector 0xFFFF0 timer 1 interrupt vector 0xFFFF4 timer 2 interrupt vector 0xFFFF8 timer 3 interrupt vector 0xFFFFC gamepad interrupt vector All registers are 32bit. ======================================== SERIAL REGISTERS ======================================== 0xFF000 control flags bit 4 -- input FIFO not empty flag bits 3-0 -- input FIFO interrupt threshold (set to 0 to disable this interrupt) 0xFF004 read character (from input FIFO) 0xFF008 write character ======================================== TIMER REGISTERS ======================================== 0xFF100 timer 0 control flags bit 1 -- auto-repeat bit 0 -- enable timer 0xFF104 timer 0 value (milliseconds) 0xFF108 timer 1 control flags 0xFF10C timer 1 value 0xFF110 timer 2 control flags 0xFF114 timer 2 value 0xFF118 timer 3 control flags 0xFF11C timer 3 value ======================================== SOUND REGISTERS ======================================== 0xFF200 control flags 0xFF204 channel 1 frequency 0xFF208 channel 1 volume 0xFF20C channel 2 frequency 0xFF210 channel 2 volume 0xFF214 channel 3 frequency 0xFF218 channel 3 volume 0xFF21C noise volume 0xFF220 noise frequency ======================================== GAMEPAD REGISTERS ======================================== 0xFF300 control flags 0xFF304 state bit 8 - Start (Enter key) bit 7 - Y button (S key) bit 6 - X button (A key) bit 5 - B button (X key) bit 4 - A button (Z key) bit 3 - Right bit 2 - Left bit 1 - Down bit 0 - Up 0xFF308 prior state


This div is also started on the same line
but continues on the next {{ test }} here's another option {{{ test }}}
here's another format
{{ test }}
This paragraph is under the div
{{> partial/item }}
This paragraph is back up on the main level
This paragraph is under the last one and should throw an error
This is back to normal Test
What if I want to start a line with a link? and keep going?
How will the compiler handle that?
dammit syntax highlighter


Nearly done...
Fill out my
online form
.
Use
Wufoo integrations
and get your data to your favorite apps.


You are viewing an historical archive of past issues. Please report new issues to the appropriate project issue tracker on GitHub.
Issues
| # | Summary | Product | Status | Kind | When |
|---|---|---|---|---|---|
| 2110 |
Add a mapping to load Command-T results into quickfix window |
Command-T | closed | feature request | |
| 2109 |
Add option to show relative paths in :CommandTBuffer |
Command-T | open | feature request | Created , updated |
| 2108 |
Option to sort buffer list by recently used |
Command-T | closed | feature request | Created , updated |
| 2107 |
Some CDN-hosted images broken since upgrading nginx |
wincent.com | closed | bug | Created , updated |
| 2106 |
Another Command-T segfault thread.. |
Command-T | closed | bug | Created , updated |
| 2105 |
MacVim 7.4 crashes |
Command-T | closed | bug | Created , updated |
| 2104 |
change of the URL of the submodules |
Command-T | closed | feedback | Created , updated |
| 2103 |
Port projects to use RSpec `expect` syntax |
wincent.com | open | feature request | |
| 2102 |
Email addresses containing plus sign are not correctly parsed |
wikitext | open | bug | |
| 2101 |
On sign-up + in email address is replaced with space in flash |
wincent.com | open | bug |


Data Analysis and Machine Learning: Machine learning with Gaussian Processes
Christian Forssén [1]
Morten Hjorth-Jensen [2, 3]
[1] Department of Physics, Chalmers University of Technology, Sweden
[2] Department of Physics, University of Oslo
[3] Department of Physics and Astronomy and National Superconducting Cyclotron Laboratory, Michigan State University
Mar 19, 2018
What is a Gaussian Process?
- We have considered splines and kernel regression methods. These
require choice of somewhat arbitrary set of knots.
- Antoher possibility is to setup a prior distribution for the
regression function using a Gaussian Process.
- This is a very flexible class of models that has distinct computational
and theoretical advantages. It can be viewed as a potentially
infinite-dimensional generalization of Gaussian distributions.
- See the excellent (and free) book Gaussian Processes for Machine
Learning by Carl Edward
Rasmussen and Christopher K. I. Williams.
Gaussian process regression
- Realizations from a Gaussian process correspond to random functions
- Let us first consider an unknown regression function \( \mu(x) \) that
depends on a single, continuous variable \( x \).
- The Gaussian process is written as \( \mu \sim \mathrm{GP}(m,k) \), and
is parametrized in terms of a mean function \( m(x) \) and a covariance
function \( k(x,x') \).
- The GP prior on \( \mu \) describes it as a random function for which
the values at any set of \( N \) prespecified points \( \{x_i\}_{i=1}^N \)
are a draw from a \( N \)-dimensional normal distribution
$$
$$
\mu(x_1), \ldots \mu(x_N) \sim \mathrm{N}\left( \left( m(x_1),
\ldots, m(x_N) \right), K(x_1, \ldots, x_N) \right),
$$
$$
with mean \( m \) and covariance \( K \).
Topics
- More matematical details
- The role of the covariance function (different kernels)
- multidimensional case
- examples.
© 1999-2018, Morten Hjorth-Jensen. Released under CC Attribution-NonCommercial 4.0 license


Main Content
The first paragraph
The second paragraph
| Things | |||
|---|---|---|---|
| Dog | Cat | ||
| Summary | Neither animal is reliable | ||
| Properties | |||
| Fur | Black | Calico | |
| Diet | Dead Rats | Live Rats | |
| Hobbies | Chasing its tail | mauling rats |
The first paragraph
The second paragraph
| Things | |||
|---|---|---|---|
| Dog | Cat | ||
| Summary | Neither animal is reliable | ||
| Properties | |||
| Fur | Black | Calico | |
| Diet | Dead Rats | Live Rats | |
| Hobbies | Chasing its tail | mauling rats |


Syntax:
class-of object => class
Arguments and Values:
object---an object.
Description:
Returns the class of which the object is a direct instance.
Examples:
(class-of 'fred) => #<BUILT-IN-CLASS SYMBOL 610327300> (class-of 2/3) => #<BUILT-IN-CLASS RATIO 610326642> (defclass book () ()) => #<STANDARD-CLASS BOOK 33424745> (class-of (make-instance 'book)) => #<STANDARD-CLASS BOOK 33424745> (defclass novel (book) ()) => #<STANDARD-CLASS NOVEL 33424764> (class-of (make-instance 'novel)) => #<STANDARD-CLASS NOVEL 33424764> (defstruct kons kar kdr) => KONS (class-of (make-kons :kar 3 :kdr 4)) => #<STRUCTURE-CLASS KONS 250020317>
Affected By: None.
Exceptional Situations: None.
See Also:
Notes: None.


WITNESS LIST Appropriations Committee (Subcommittee on Education) February 3, 1997-8:00A Budget Overview/Education For: Parker, Carl (Parker College of Chiro) Wright, David (TX Med Assn) On: Aguire, Eduardo (U of Houston) Ashworth, Kenneth (Coord Bd) Baisden, Debbie (LBB) Beck, Debbie (LBB) Bright, Linda (U of Houston) Brown, Don (TX Higher Ed Bd) Brownell, Blaine (U of North TX) Chu, Paul (U of Houston) Cobb, Sharon (TX Higher Ed Bd) Cohen, Benjamin (U of North TX) Deviney, Laurie (LBB) Diebel, Phil (U of North TX) Elliot, Roger (TX Higher Ed Bd) Fowler, Chris (LBB) Goerke, Glenn (U of Houston) Hagen, Paul (Auditor) Hobby, W.P. (U Of Houston) Hurley, Alfred (U of North TX) Kauffman, Al (MALDFF) Kerker, Mike (Governor Witness) Lovelady, John (State Employees) McDonald, Carol (Ind Colleges & Univ) Morian, Beth (Houston) Rauch, Leonard (TX Higher Ed Bd) Redwine, Lynn (Comptroller) Richards, David (U of North TX) Rives, Don (U of North TX) Russell, Steve (U of North TX)


Become a terrible shot with the Fortnite Imperial Stormtrooper skin
Available for a limited time
by CJ AndriessenThe next month is going to be absolutely huge for the Star Wars franchise. Not only are we getting the final movie of the Sequel Trilogy next month, but Star Wars Jedi: Fallen Order is launching on November 15. There is so much Star Wars goodness going on right now that of course the most popular game in the world is getting in on the action.
Epic Games has revealed a new Imperial Stormtrooper skin for Fortnite. The skin is available for purchase in the Item Shop from now until November 17 at 7:00 pm ET. Additionally, if you're purchasing Fallen Order, you can grab the skin for free.
The Imperial Army Has Arrived [Fortnite]


Class Initializer
Initializer provides a set of useful functions to initialize a Yii Application development.
Namespace: Yiinitializr\Helpers
Package: Yiinitializr\helpers
Author: Antonio Ramirez<EMAIL_ADDRESS>Since: 1.0
Located at Helpers/Initializer.php
Package: Yiinitializr\helpers
Author: Antonio Ramirez<EMAIL_ADDRESS>Since: 1.0
Located at Helpers/Initializer.php
Methods summary
public static
mixed
|
|
public static
array
|
|
public static
array
|
|
protected static
|
|
public static
|
|
public static
|
|
protected static
|


Screencap Search allows you to take a screenshot and immediately perform a reverse image search. Simply click the extension, and then click and drag to select an area to take a screenshot.
To access this options page again, right click on the extension and select Options.


>
| No | Phone | amount | Name | price | Delete |
|---|---|---|---|---|---|
| 1 |
1
|
Iphone 11 Promax | $1200.00 |
|
|
| 2 |
1
|
Iphone Xr | $500 |
|
|
| 3 |
1
|
Iphone 12 Promax | $1400 |
|
|
| 4 |
1
|
Iphone SE 2020 | $600 |
|
|
| 5 |
1
|
Iphone Xsmax | $500 |
|


Hi, my name is Pingu. I have so many stories to tell you. I hope to hear from you too. Nice to meet you!
Facebook: Pat Miyamoto Maglaya
Instagram: @psychopaaaatt
Snapchat: patsupnet28


Explore More About Massively Multiplayer Online Games
This page contains the resources we referenced during our project.


Spent the final part of our holiday exploring a hilltop town and stumbled upon an amazing restaurant, where we sat out on the terrace overlooking the ocean below. Long lunch with Tilex!
Happy Time with yyour Friend with TILEX!
It started with a group of mates. All hailing from the beer scene, these guys wanted to brew an awesome, hop-driven American Pale Ale with a distinctive aroma and delicious flavour.
Tilex is a brewing company, founded in Italy in 1846. It is probably best known worldwide Beer.
Here in Italy, our approach to cooking defines almost all of our most popular dishes. First, we believe that a few high-quality ingredients can bring more to a dish than a complicated recipe.
spaghetti recipe with Tliex – the perfect choice for a romantic dinner.
EFFORTLESS STYLE, CREATIVITY AND AUTHENTICITY ARE STILL AT THE CORE OF TILEX.
Blue, white and red are our main tone colors.


| 856 | (A) | For there als fawtis þe fude there es littiłł strenghe |
| 860 | (C) | For there as lakketħ mete . þer ys faynte strengthe |
| 846 | (D) | For þer as faillitħ þe fode þer is faynt strengthe |
| 823 | (E) | for where fayleth foode . þere is feynt herte |
| (Ex) | ---- no text ---- | |
| 876 | (L) | for þer as fayleþ þe fode þer is feynt strengþe |
| 797 | (P) | For þare as fayles þe fode feble es þe strengħt |
| 831 | (U) | For there os failetħ the fode / there is feynt strenght |
| (V) | ---- no text ---- |


Build VR with A-Frame and enjoy VR in Firefox
Explore the most common hardware used on the Web
Supported today in Firefox and Chrome
Check out the next stage of graphics on the Web
Unity 5 now fully supporting web export
Learn about building games on the Web


My experiences and some little achievements
His major is at Culture, Communication and Information Technology. He also minor in computer science and Math history. He is espeically interested in UXD, web design, and game design.
He was the leader "Hand in Hand Club". A club that focus on Asian Heritage Performance and Demonstration, and organizes annual Asian Heritage Event
The company is loacted in Shanghai, China. It specialized in online platform that selling stock music.
I worked at T & T Supermarket as a cashier.


--- layout: post title: Manners Maketh Machine date: 2004-07-19 00:00:00 ---
Users prefer polite computers, according to this article from the New Scientist.
This is something I bang on about when we're talking to our clients about design: that overall tone is important, particularly for mobile phone applications which are:
(a) not perceived as being computers (I overheard a friend of mine this weekend talking about how phones are "practically computers' these days).
(b) used by people who will be frightened or intimidated by technology; despite wishful thinking from some quarters about operators becoming pure data pipes, they perform a valuable function of bringing together complex devices, radio networks, and billing relationships and presenting these in a (reasonably) consumer-friendly way.
Want more convincing? Read The Media Equation, an excellent book which Jay recommended to me years back and which delves into how people react to machines and computers.


Pawel Krupa (@paulfantom)
Docker is the world’s leading software container platform. Developers use Docker to eliminate “works on my machine” problems while operators use Docker to run and manage apps side-by-side in isolated containers to get better compute density
Containers are a way to package software in a format that can run isolated on a shared operating system.
Containers do not bundle a full operating system - only libraries and settings required to make the software work are needed.
This makes for efficient, lightweight, self-contained systems and guarantees that software will always run the same, regardless of where it’s deployed.
FAST – start containers in seconds With Copy-on-Write model, making changes to contenerized application can take minutes
EFFICIENT – pack as many containers as possible Removing overhead of the hypervisor means containers are highly performant
SEGREGATION OF DUTIES – Dev code, Ops manage Docker is designed to enhance consistency by ensuring the development environment matches production one
SOA AND MICROSERVICES – one container, one app Docker recommends running one process per container. This promotes a distributed application model with inter-connected containers.
Modernize Traditional Apps
CI/CD
Microservices
IT Infrastructure Optimization
# you will need the GPG repo key
$ curl -fsSL https://download.docker.com/linux/ubuntu/gpg | sudo apt-key add -
# next you need to add repository
$ sudo add-apt-repository "deb [arch=amd64] https://download.docker.com/linux/ubuntu $(lsb_release -cs) stable"
# finally you refresh apt cache and install docker community edition
$ sudo apt-get update
$ sudo apt-get install docker-ce
Everything in detail is explained at docs.docker.com/engine/installation
IMAGE Lightweight, stand-alone, executable package that includes everything needed to run a piece of software, including the code, a runtime, libraries, environment variables, and config files
CONTAINER Runtime instance of an image - what the image becomes in memory when actually executed. It runs completely isolated from the host environment by default, only accessing host files and ports if configured to do so.
REGISTRY Stateless, highly scalable server side application that stores and lets you distribute Docker images
Docker daemon The background service running on the host that manages building, running and distributing Docker containers.
Docker client The command line tool that allows the user to interact with the Docker daemon.
# To simply start a container just use docker run
$ docker run hello-world
# Containers can also be started in detached mode
$ docker run -d -p 80:80 dockersamples/static-site
# Also we can start a shell in a container
$ docker run -it centos:7
What happens when "docker run" is executed?
1. The Docker client contacts the Docker daemon.
2. The Docker daemon checks local store if the image is available locally, and if not, dowloads it from remote registry.
3. The Docker daemon creates the container and then runs a command in that container.
4. The Docker daemon streams the output of the command to the Docker client.
Commands
attach Attach local standard input, output, and error streams to a running container
build Build an image from a Dockerfile
commit Create a new image from a container's changes
cp Copy files/folders between a container and the local filesystem
create Create a new container
diff Inspect changes to files or directories on a container's filesystem
events Get real time events from the server
exec Run a command in a running container
export Export a container's filesystem as a tar archive
history Show the history of an image
images List images
import Import the contents from a tarball to create a filesystem image
info Display system-wide information
inspect Return low-level information on Docker objects
kill Kill one or more running containers
load Load an image from a tar archive or STDIN
login Log in to a Docker registry
logout Log out from a Docker registry
logs Fetch the logs of a container
pause Pause all processes within one or more containers
port List port mappings or a specific mapping for the container
ps List containers
pull Pull an image or a repository from a registry
push Push an image or a repository to a registry
rename Rename a container
restart Restart one or more containers
rm Remove one or more containers
rmi Remove one or more images
run Run a command in a new container
save Save one or more images to a tar archive (streamed to STDOUT by default)
search Search the Docker Hub for images
start Start one or more stopped containers
stats Display a live stream of container(s) resource usage statistics
stop Stop one or more running containers
tag Create a tag TARGET_IMAGE that refers to SOURCE_IMAGE
top Display the running processes of a container
unpause Unpause all processes within one or more containers
update Update configuration of one or more containers
version Show the Docker version information
wait Block until one or more containers stop, then print their exit codes
Management Commands
config Manage Docker configs
container Manage containers
image Manage images
network Manage networks
node Manage Swarm nodes
plugin Manage plugins
secret Manage Docker secrets
service Manage services
stack Manage Docker stacks
swarm Manage Swarm
system Manage Docker
volume Manage volumes
Full documentation at docs.docker.com/engine/reference/commandline/cli
NONE Container doesn't have any network connection. Useful for running one-time jobs.
HOST Container is directly connected to host NIC.
BRIDGE Default network connection. Access to container is done with NAT and PAT (via iptables).
OVERLAY Used in docker swarm mode to inter-connect multiple docker daemons. Based on VXLAN technology.
Docker can build images automatically by reading the instructions from a Dockerfile. A Dockerfile is a text document that contains all the commands a user could call on the command line to assemble an image.
ON BUILD
BOTH
RUNTIME
RUN executes command(s) in a new layer and creates a new image. E.g., it is often used for installing software packages.
CMD sets default command and/or parameters, which can be overwritten from command line when docker container runs.
ENTRYPOINT configures a container that will run as an executable.
1. Choose baseimage, ex. ubuntu or alpine.
2. Install python package manager (pip). On ubuntu package python-pip.
3. Upgrade base system if needed.
4. Install application dependencies from requirements.txt file.
5. Copy application files from app.tgz. Unpack with
tar xvf app.tgz
6. Inform that application runs on port 5000.
7. Write instruction to run application.
Docker Compose
Tool for defining and running multi-container Docker applications.
More information: docs.docker.com/compose/overview
Ansible
Tool for automating almost everything, including running multi-container applications. Also can run docker-compose.
More information: www.ansible.com/docker


index.js |
|
"use strict";
var Sphero = require("./lib/sphero");
|
|
|
Creates a new Sphero instance with the provided options. Params
address
String
port/UUID/address of the connected Sphero
[opts]
Object
options for sphero setup
[opts.adaptor]
Object
if provided, a custom adaptor used for Sphero communication
[opts.sop2=0xFD]
Number
SOP2 value to be passed to commands
[opts.timeout=500]
Number
delay before a command is considered dead
|
module.exports = function sphero(address, opts) {
return new Sphero(address, opts);
};
|


.illustrator
.html .css
.illustrator
.illustrator .indesign
About Me
Developer, Designer and UX Enthusiast
My name is Jason Anthony. I love coming up with solutions that meshes your objectives, with wonderful UX and beauty. I will have you clarify your real needs and use that as a foundation while make sure that your users are best served, and finally, wrap it up with an eye-pleasing outfit.
Come work with me! You'll be glad you did!


Bhaskalc's Documentation
Introduction
Bhaskalc is an open-source equation calculator developed for fun. All of our content is avaiable for download so you can view and even contribute to our project. This documentation will also guide you in how to use Bhaskalc properly.
Access Bhaskalc
To download Bhaskalc files you can clone our Github repository. If you are interested in contributing (adding new features or fixing bugs), create your own branch and commit your changes. Your commit will be reviewed and, if approved, added to Bhaskalc.
We are more than happy to receive your contributions :)
How to Use
First of all, you need to specify which kind of equation you want to calculate - Bhaskalc currently calculates first and second degree equations (lines and parables) - then fill in the coeficients from your equation in their respective fields. If your equation doesn't have a certain coeficient, please enter 0 instead of leaving blank. Now you should be ready to press Calculate.
Bhaskalc will show different results depending on the type of equation you've entered. Choosing a second-degree equation calculates it's roots, delta, vertexes, discriminant and instersection with Y-axis, while choosing first-degree equations will calculate:
For easier visualization, thanks to an open-source library, we have implemented a dynamic graph that precisely represents your equation.
Changelog
- All codes were rewritten for better optimization and responsivity
- Remade entire UI for better user experience and aesthestics
- Added Github and Documentation buttons
- Added a button for choosing between first and second degree equations
- Created Bhaskalc Documentation
- dafdsafsadfsds
- Exammple
- dafdsafsadfsds
- Exammple
- dafdsafsadfsds
- Exammple
- dafdsafsadfsds
- Exammple


Whether or not the whole quest has been completed, regardless of whether or not you have redeemed the rewards for the quest.
The current Quest Step will be an instanced item in the player's inventory. If you care about that, this is the instance ID of that item.
The hash identifier for the Quest Item. (Note: Quests are defined as Items, and thus you would use this to look up the quest's DestinyInventoryItemDefinition). For information on all steps in the quest, you can then examine its DestinyInventoryItemDefinition.setData property for Quest Steps (which are also items). You can use the Item Definition to display human readable data about the overall quest.
Mapped to DestinyInventoryItemDefinition in the manifest.
Whether or not you have redeemed rewards for this quest.
Whether or not you have started this quest.
The hash identifier of the current Quest Step, which is also a DestinyInventoryItemDefinition. You can use this to get human readable data about the current step and what to do in that step.
Mapped to DestinyInventoryItemDefinition in the manifest.
A step can have multiple objectives. This will give you the progress for each objective in the current step, in the order in which they are rendered in-game.
Whether or not the quest is tracked
If the quest has a related Vendor that you should talk to in order to initiate the quest/earn rewards/continue the quest, this will be the hash identifier of that Vendor. Look it up its DestinyVendorDefinition.
Data regarding the progress of a Quest for a specific character. Quests are composed of multiple steps, each with potentially multiple objectives: this QuestStatus will return Objective data for the currently active step in this quest.


The IMDATA record contains the complete description of a bitmapped graphic object, such as a drawing created by a graphics tool.
Record Data
|
Offset |
Field Name |
Size |
Contents |
|
4 |
cf |
2 |
Image format: |
|
6 |
env |
2 |
Environment from which the file was written: |
|
8 |
lcb |
4 |
Length of the image data |
|
12 |
data |
var |
Image data |
For more information about the Microsoft Windows metafile file format, see the documentation for the Microsoft Windows Software Development Kit.
For more information about the Apple Macintosh PICT file format, see The Programmer’s Apple Mac Sourcebook (published by Microsoft Press, ISBN 1‑ 55615‑ 168‑ 3), section 2.087, “PICT File Format”; or see Inside Macintosh Volume V (published by Addison‑ Wesley Publishing Company, Inc., ISBN 0‑ 201‑ 17719‑ 6).
If the image is in Microsoft Windows bitmap format ( cf=09h ), the data field consists of a BITMAPCOREINFO data structure followed by the actual bitmap. The BITMAPCOREINFO data structure consists of a BITMAPCOREHEADER structure, followed by an array of RGBTRIPLE structures that define the color table. For more information about these structures, see the documentation for the Microsoft Windows Software Development Kit.
Native format ( cf=0Eh ) stores an embedded object from another application. The image data is in the foreign application’s format and cannot be directly processed by Excel.