Fast functions for effective sample size, weighted multivariate mean and variance computation, and weight diagnostic plot for generic importance sampling type results.
| Version: | 0.1.3-1 |
| Imports: | Rcpp (≥ 0.12.7), ggplot2 (≥ 2.1.0), gridExtra, coda |
| LinkingTo: | Rcpp, RcppArmadillo |
| Suggests: | testthat, knitr, rmarkdown |
| Published: | 2018-01-25 |
| Author: | Jouni Helske |
| Maintainer: | Jouni Helske <jouni.helske at iki.fi> |
| BugReports: | https://github.com/helske/diagis/issues |
| License: | GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
| NeedsCompilation: | yes |
| Citation: | diagis citation info |
| Materials: | NEWS |
| CRAN checks: | diagis results |
| Reference manual: | diagis.pdf |
| Vignettes: |
Auxiliary functions for importance sampling |
| Package source: | diagis_0.1.3-1.tar.gz |
| Windows binaries: | r-devel: diagis_0.1.3-1.zip, r-release: diagis_0.1.3-1.zip, r-oldrel: diagis_0.1.3-1.zip |
| OS X binaries: | r-release: diagis_0.1.3-1.tgz, r-oldrel: diagis_0.1.3-1.tgz |
| Old sources: | diagis archive |
| Reverse imports: | bssm |
| Reverse suggests: | walker |
Please use the canonical form https://CRAN.R-project.org/package=diagis to link to this page.


{% extends 'layout.html' %} {% set version = "v7" %} {% if (data['tested'] == "Yes") %} {% set backLink = "test-results" %} {% else %} {% set backLink = "tested" %} {% endif %} {% set heading = "We'll now ask you questions about your health" %} {% set mainClasses = "nhsuk-main-wrapper--s" %} {% block content %}
We're asking about your health so we:
We'll ask about things like asthma, cancer treatment and heart conditions.
Choose the answer that's closest to your situation. You can give more details to any researchers who contact you.
Having a health condition does not mean you cannot take part in vaccine studies.
NHS Digital will keep your answers secure. Find out in the privacy policy how your data will be processed using this service - Page opens in new window .


[gecode-users] posting LinExpr
Christian Schulte
cschulte at kth.se
Fri Feb 15 01:12:40 CET 2008
Hi Stanimir,
not so shy ;-) That was a bug, apparently there were no tests for posting
linear expressions but only linear relations! I'll fixed it in the trunk and
it should be soon in 2.0.2. For the time being, just replace sign*-c with
sign*c and recompile...
Sorry about the inconvenience.
As had become clear recently with the embarrassing number of bugs found, we
have been looking again to which test coverage we have. For the kernel and
integer propagators we have almost 100%. For search prior to 2.0.1 we only
had around 75% with restart and LDS missing, that has been corrected. For
the next release we will try to be close to 100% everywhere.
Sorry again
Christian
--
Christian Schulte, www.ict.kth.se/~cschulte/
-----Original Message-----
From: users-bounces at gecode.org [mailto:users-bounces at gecode.org] On Behalf
Of Stanimir Dragiev
Sent: Thursday, February 14, 2008 10:00 PM
To: users at gecode.org
Subject: [gecode-users] posting LinExpr
Hello,
I have some irritating experience with posting a LinExpr
=== Short:
The returned by LinExpr::post variable has different bounds
than expected.
=== Long:
1. Background
I have a functon like this:
=-=-=-=-=-=Begin
IntVar
Constraints::get_variable_difference(Solver *space, IntVar& var1, int var2
){
return abs(space, post(space, var1 - var2, ICL_DOM), ICL_DOM);
}
=-=-=-=-=-=End
The variables returned by it are intended to be stored in
an IntVarArray and then I can obtain a variable holding the
total difference like this:
=-=-=-=-=-=Begin
linear(space, all_diffs, IRT_EQ, total_diff) )
=-=-=-=-=-=End
And I can *after that* constrain the total_diff
in the constrain() function (for BAB search).
So I consider this whole process to be kind of query, not
modifying the meaningful vars in the space, i.e. I
do not expect the added variables to impact solvability of
the space. (total_diff has initially the domain [0, int_max]
and the sum over all_diffs is not more than 1000)
The problem is that while filling the all_diffs array, after
some iterations, the space is reported to have status
SS_FAILED. Precisely, it gets failed, after the first
invocation of get_variable_difference() with var2!=0.
2. Problem
In a debugger session I found out, that the invocation:
=-=-=-=-=-=Begin
get_variable_difference(space, var1, 64 );
=-=-=-=-=-=End
where the domain of var1 is {0, 64}, the posting
post(space, var1 - var2, ICL_DOM) returns an IntVar with
domain [64, 128], while I expect [-64, 0].
(Other invocation with var1={64} and var2=64 resulted in
{128}, while expecting {0} )
I took a look at the definition of LinExpr::post in
http://www.gecode.org/gecode-doc-search-1.3.1/lin-expr_8cc-source.html#l0007
4
and I noticed, that the doubles min and max are both
initialized to sign*-c, which in my case means min=max=-(-64)=64 .
Adding the bounds of my var1 to this really results in the
returned variables. Is this correct?
The following Int::Linear::post in line 94 could explain the
failing of the space, since it is in my opinion really not
satisfiable.
Do you see some problem with the code?
There might be some issue with domain consistency and posting
linear expressions?
Thanks a lot for your suggestions.
cheers
stanio
_______________________________________________
Gecode users mailing list
users at gecode.org
https://www.gecode.org/mailman/listinfo/gecode-users
More information about the gecode-users
mailing list


Class PHPRender
PHPRender fast and simple to use PHP MVC framework
MVC Framework for PHP 5.2 + with PHP files views part of YMVC System Also available as XSLRender with work on xslt files
PHP version 5
LICENSE: This source file is subject to version 3.01 of the PHP license that is available through the world-wide-web at the following URI: http://www.php.net/license/3_01.txt. If you did not receive a copy of the PHP License and are unable to obtain it through the web, please send a note to<EMAIL_ADDRESS>so we can mail you a copy immediately.
Category: Framework, MVC
Copyright: 1997-2016 ydk2.tk
License: PHP License 3.01
Author: ydk2<EMAIL_ADDRESS>Version: 2.0.1
Since: File available since Release 1.0.0
See:
XSLRender
Link: http://ymvc.ydk2.tk
Located at libriares/core/phprender.php
final public
|
#
__construct( mixed $model,…, string $view,… )
PHPRender Class constructor can have options $model,$view or $view $model and $view can be definied in onInit method |
final private
|
|
final private
|
#
__construct_2( mixed $model, string $view )
PHPRender Class sub constructor it have options $model & $view |
public
optional
|
|
public
optional
|
|
public
optional
|
|
public
optional
|
#
onDestruct( )
Virtual method used in childs classes called in parent(this) class destructor Used as child destructor not required |
public
optional
|
#
onException( )
Virtual method used in childs classes called on exception is throwed Used as child destructor not required |
final public
boolean
|
|
final public
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final public
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final public
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final public
boolean
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final public
boolean
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final public
boolean
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final public
mixed
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final private
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final private
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public
Array
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public
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final public
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final public
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final public
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final private
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|
final public
Print
|
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final public
string
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final public
|
#
Exceptions( mixed $model, string $view, mixed $controller )
Method used to catch exceptions and return as new controller view |
final public
|
|
final public
|
|
final public
boolean
|
#
UnsetModule( string $controller )
Method used to unset subcontroller by controller path from $this->modules |
final public
|
|
final public
|
|
final public
|
#
NewController( mixed $model, string $view, mixed $controller )
Method return a new controller view with model |
final public
object
|
|
final public static
mixed
|
|
final public
|
|
final public
|
#
setParameter( string $namespace, string $key, mixed $value )
Method set parameter like in XSLRender Added to can use same controller in different modes |
final public
|
#
removeParameter( string $namespace, string $key )
Method remove parameter like in XSLRender Added to can use same controller in different modes |
final public
mixed
|
#
getParameter( string $namespace, string $key )
Method get parameter like in XSLRender Added to can use same controller in different modes |
final public
|
#
registerPHPFunctions( )
Method set to load and execute view as PHP not normal file if you want use view as ordinary file set $this->registerPHPFunctions to FALSE default TRUE Added to can use same controller in different modes |
integer |
ACCESS_ANY
|
#
1000
|
integer |
ACCESS_USER
|
#
500
|
integer |
ACCESS_EDITOR
|
#
3
|
integer |
ACCESS_MODERATOR
|
#
2
|
integer |
ACCESS_SYSTEM
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#
1
|
integer |
ACCESS_ADMIN
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#
0
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private
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$registerPHPFunctions
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private
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$parameters
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private
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$action
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protected
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$modules
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protected
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$only_registered_views
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protected
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$registered_views
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public
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$name
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public
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$access
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public
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$model
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public
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$data
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public
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$view
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public
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$emessage
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public
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$error
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private static
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$obj
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$C123/49443: Clear error flags Jump from $C1AA, $D425, $E6BC: C123: A9 00 LDA #$00 C125: 8D 6C 02 STA $026C C128: 8D 6D 02 STA $026D C12B: 60 RTS Previous Page / Next Page


CLOCK_GETRES
Section: Linux Programmer's Manual (2)
Updated: 2013-12-28
Index
Return to Main Contents
NAME
clock_getres, clock_gettime, clock_settime - clock and time functions
SYNOPSIS
#include <time.h>
int clock_getres(clockid_t clk_id, struct timespec *res);
int clock_gettime(clockid_t clk_id, struct timespec *tp);
int clock_settime(clockid_t clk_id, const struct timespec *tp);
Link with -lrt (only for glibc versions before 2.17).
Feature Test Macro Requirements for glibc (see
feature_test_macros(7)):
clock_getres(),
clock_gettime(),
clock_settime():
-
_POSIX_C_SOURCE >= 199309L
DESCRIPTION
The function
clock_getres()
finds the resolution (precision) of the specified clock
clk_id,
and, if
res
is non-NULL, stores it in the struct timespec pointed to by
res.
The resolution of clocks depends on the implementation and cannot be
configured by a particular process.
If the time value pointed to by the argument
tp
of
clock_settime()
is not a multiple of
res,
then it is truncated to a multiple of
res.
The functions
clock_gettime()
and
clock_settime()
retrieve and set the time of the specified clock
clk_id.
The
res
and
tp
arguments are
timespec
structures, as specified in
<time.h>:
struct timespec {
time_t tv_sec; /* seconds */
long tv_nsec; /* nanoseconds */
};
The
clk_id
argument is the identifier of the particular clock on which to act.
A clock may be system-wide and hence visible for all processes, or
per-process if it measures time only within a single process.
All implementations support the system-wide real-time clock,
which is identified by
CLOCK_REALTIME.
Its time represents seconds and nanoseconds since the Epoch.
When its time is changed, timers for a relative interval are
unaffected, but timers for an absolute point in time are affected.
More clocks may be implemented.
The interpretation of the
corresponding time values and the effect on timers is unspecified.
Sufficiently recent versions of glibc and the Linux kernel
support the following clocks:
- CLOCK_REALTIME
-
System-wide clock that measures real (i.e., wall-clock) time.
Setting this clock requires appropriate privileges.
This clock is affected by discontinuous jumps in the system time
(e.g., if the system administrator manually changes the clock),
and by the incremental adjustments performed by
adjtime(3)
and NTP.
- CLOCK_REALTIME_COARSE (since Linux 2.6.32; Linux-specific)
-
A faster but less precise version of
CLOCK_REALTIME.
Use when you need very fast, but not fine-grained timestamps.
- CLOCK_MONOTONIC
-
-
Clock that cannot be set and represents monotonic time since
some unspecified starting point.
This clock is not affected by discontinuous jumps in the system time
(e.g., if the system administrator manually changes the clock),
but is affected by the incremental adjustments performed by
adjtime(3)
and NTP.
- CLOCK_MONOTONIC_COARSE (since Linux 2.6.32; Linux-specific)
-
A faster but less precise version of
CLOCK_MONOTONIC.
Use when you need very fast, but not fine-grained timestamps.
- CLOCK_MONOTONIC_RAW (since Linux 2.6.28; Linux-specific)
-
Similar to
CLOCK_MONOTONIC,
but provides access to a raw hardware-based time
that is not subject to NTP adjustments or
the incremental adjustments performed by
adjtime(3).
- CLOCK_BOOTTIME (since Linux 2.6.39; Linux-specific)
-
Identical to
CLOCK_MONOTONIC,
except it also includes any time that the system is suspended.
This allows applications to get a suspend-aware monotonic clock
without having to deal with the complications of
CLOCK_REALTIME,
which may have discontinuities if the time is changed using
settimeofday(2).
- CLOCK_PROCESS_CPUTIME_ID (since Linux 2.6.12)
-
Per-process CPU-time clock
(measures CPU time consumed by all threads in the process).
- CLOCK_THREAD_CPUTIME_ID (since Linux 2.6.12)
-
Thread-specific CPU-time clock.
RETURN VALUE
clock_gettime(),
clock_settime()
and
clock_getres()
return 0 for success, or -1 for failure (in which case
errno
is set appropriately).
ERRORS
- EFAULT
-
tp
points outside the accessible address space.
- EINVAL
-
The
clk_id
specified is not supported on this system.
- EPERM
-
clock_settime()
does not have permission to set the clock indicated.
VERSIONS
These system calls first appeared in Linux 2.6.
CONFORMING TO
SUSv2, POSIX.1-2001.
AVAILABILITY
On POSIX systems on which these functions are available, the symbol
_POSIX_TIMERS
is defined in <unistd.h> to a value greater than 0.
The symbols
_POSIX_MONOTONIC_CLOCK,
_POSIX_CPUTIME,
_POSIX_THREAD_CPUTIME
indicate that
CLOCK_MONOTONIC,
CLOCK_PROCESS_CPUTIME_ID,
CLOCK_THREAD_CPUTIME_ID
are available.
(See also
sysconf(3).)
NOTES
Historical note for SMP systems
Before Linux added kernel support for
CLOCK_PROCESS_CPUTIME_ID
and
CLOCK_THREAD_CPUTIME_ID,
glibc implemented these clocks on many platforms using timer
registers from the CPUs
(TSC on i386, AR.ITC on Itanium).
These registers may differ between CPUs and as a consequence
these clocks may return
bogus results
if a process is migrated to another CPU.
If the CPUs in an SMP system have different clock sources, then
there is no way to maintain a correlation between the timer registers since
each CPU will run at a slightly different frequency.
If that is the case, then
clock_getcpuclockid(0)
will return
ENOENT
to signify this condition.
The two clocks will then be useful only if it
can be ensured that a process stays on a certain CPU.
The processors in an SMP system do not start all at exactly the same
time and therefore the timer registers are typically running at an offset.
Some architectures include code that attempts to limit these offsets on bootup.
However, the code cannot guarantee to accurately tune the offsets.
Glibc contains no provisions to deal with these offsets (unlike the Linux
Kernel).
Typically these offsets are small and therefore the effects may be
negligible in most cases.
Since glibc 2.4,
the wrapper functions for the system calls described in this page avoid
the abovementioned problems by employing the kernel implementation of
CLOCK_PROCESS_CPUTIME_ID
and
CLOCK_THREAD_CPUTIME_ID,
on systems that provide such an implementation
(i.e., Linux 2.6.12 and later).
BUGS
According to POSIX.1-2001, a process with "appropriate privileges" may set the
CLOCK_PROCESS_CPUTIME_ID
and
CLOCK_THREAD_CPUTIME_ID
clocks using
clock_settime().
On Linux, these clocks are not settable
(i.e., no process has "appropriate privileges").
SEE ALSO
date(1),
gettimeofday(2),
settimeofday(2),
time(2),
adjtime(3),
clock_getcpuclockid(3),
ctime(3),
ftime(3),
pthread_getcpuclockid(3),
sysconf(3),
time(7)
Index
- NAME
-
- SYNOPSIS
-
- DESCRIPTION
-
- RETURN VALUE
-
- ERRORS
-
- VERSIONS
-
- CONFORMING TO
-
- AVAILABILITY
-
- NOTES
-
- Historical note for SMP systems
-
- BUGS
-
- SEE ALSO
-
This document was created by
man2html,
using the manual pages.
Time: 02:54:50 GMT, September 18, 2014


"ينظّم نادي الطلاب في جامعة الملك سعود بن عبد العزيز للعلوم الصحية
تدكس في يوم السبت 15 أبريل في مركز المؤتمرات بالجامعة!"
لو أن
TEDx KSAUHS
"لو أن" مفتاحٌ ثنائي الأحرف يفتح لنا أبوابًا لا متناهيةً من الاحتمالات،
مفتاحٌ قادرٌ على وضعنا في محل المجهول (س) في معادلة الحياة،
تاركًا مهمة البحث عن المعادلة الصحيحة لإيجاد الحل المناسب علينا،
كل ما يتطلبه الأمر هو أن نتساءل " لو أن"
About
About TED
TED is a nonprofit organization devoted to Ideas Worth Spreading. Started as a four-day conference in California 30 years ago, TED has grown to support its mission with multiple initiatives. The two annual TED Conferences invite the world's leading thinkers and doers to speak for 18 minutes or less. Many of these talks are then made available, free, at TED.com. TED speakers have included Bill Gates, Jane Goodall, Elizabeth Gilbert, Sir Richard Branson, Nandan Nilekani, Philippe Starck, Ngozi Okonjo-Iweala, Sal Khan and Daniel Kahneman.
The annual TED Conference takes place each spring in Vancouver, British Columbia. TED's media initiatives include TED.com, where new TED Talks are posted daily; the Open Translation Project, which provides subtitles and interactive transcripts as well as translations from volunteers worldwide; the educational initiative TED-Ed. TED has established the annual TED Prize, where exceptional individuals with a wish to change the world get help translating their wishes into action; TEDx, which supports individuals or groups in hosting local, self- organized TED-style events around the world, and the TED Fellows program, helping world-changing innovators from around the globe to amplify the impact of their remarkable projects and activities.
About TEDx
TEDx, x = independently organized event In the spirit of ideas worth spreading, TEDx is a program of local, self-organized events that bring people together to share a TED-like experience. At a TEDx event, TED Talks video and live speakers combine to spark deep discussion and connection. These local, self-organized events are branded TEDx, where x = independently organized TED event. The TED Conference provides general guidance for the TEDx program, but individual TEDx events are self-organized. (Subject to certain rules and regulations.)
"جميع أحلامنا تمثل (س)،
كل ما نحتاجه هو المعادلة الصحيحة."
Organizers
Leaders
Ghada almujarri
Nawaf Aloufi
Zyad alanizi
Sara alsudon
Seba almutairi
Tala albasri
Stage Team
Abdulrahman Banaeem
Khaled Alhindi
Mashael Alabdali
Lina Alsherbini
Aseel AlGhamdi
Venue Team
Fahad bahanan
Muhannad Al Thunayan
Meral Alyami
Shorouq AlJarallah
Sarah Almujarri
Rayan Alshweriqh
Ghada Alharbi
Hessa Alodwani
Johara Almazyad
Faisal Alsudairy
Mohammed Alshahrani
Organising and
Registration Team
Fahad Alnafisash
Raed Altowairki
Deemah Alsaqabi
Content team
Ahmad alhowaimani
Rafeef Alhajress
Hassan Khdary
Yaser Alenazi
Zainab Al Shngeeti
Atheer Almutairi
Abdulkarem Alharbi
Noura Almohaimied
Media Team
Feras Alsulaiman
Abdulrahman Aljahani
Rand Alazaz
Abdulrahman Alqahtani
Fatimah Alowirdi
Hend Salih
Khalid Aldamiri
Meshal Alkheraiji
shaden Almushawwah
Abdulrahman AlQumayzi
Atheer Alfalaj
Osama Alaqel
Abdulrahman Aljuraisi


Built up with Thai.
|
|
|
Click this button, and it'll stop the observation on keydown.
const input = document.getElementById("example2"); |
|
|
Adding tones to the vowel in front of the cursor by method call.
const input = document.getElementById("example3"); |
|
|
Customize tone keys and phonetic symbol keys and letters.
const input = document.getElementById("example4"); |
|
|
It works well with Chinese Pinyin.
const input = document.getElementById("example5");
|


[gecode-users] Constraints on "wave" form
Mikael Zayenz Lagerkvist
zayenz at gmail.com
Thu Jun 12 11:50:35 CEST 2014
Richard Portelli skrev 12/06/14 10:32:
> Hello Christian,
> I would like to know if there is an easy way to implement a special
> constraint.
> I have an array with 10 numbers.
> My constraint would be : if you plot the array values in function of
> the index, you should have a wave aspect /\.
> For example with 10 numbers
>
> 1 3 5 9 11 7 6 5 4 2 0 (increasing then decreasing) There is no
> importance at witch index there is the inflexion point.
>
> Would you have an idea how to implement that in a clean way?
>
For reference, this is similar to the inflexion constraint
(http://www.emn.fr/z-info/sdemasse/gccat/Cinflexion.html) with the
number of inflexions set to 1 (assuming that valleys are also ok).
The simplest way in my opinion to model this constraint would be the
following.
Assume the sequence of numbers is called x and has n entries.
Define a new boolean array of variables y with n-1 values.
For each place i in y, add the constraint
y[i] = (x[i] < y[i])
(that is, reified ordering).
On the y variables, add the constraint regular(y, 1*0*)
The ordering constraint and the regular expression can be modified to
suit your particular needs.
Cheers,
Mikael
More information about the users
mailing list


4. Property¶
This section containts information about atomic and molecular properties that can be calculated.
4.1. Population Analysis/Atomic Charges¶
Population analysis is the study of charge distribution in molecules, it requires the overlap integrals and the electron density, in addition to information about the number of basis functions centered on each atom. The charge on atom A may be computed as:
4.1.1. Mulliken Population Analyasis¶
where the summation is limited to only those basis functions centered on atom A.
4.2. Multipole Moment¶
The calculation of one-electron properties requires density matrix and the relevant property integrals. The electronic contribution to the electric-miltipole moment may be computed using:
where L = k+l+m is the angular moment
In order to compute the total multipole moment, you must include the nuclear contribution, which requires the atomic numbers and Cartesian coordinates of the nuclei.
4.3. Multipole Polarizability¶
Second-order energy E^{(2)} is the second derivative of E(vec{F}), is connected with the {color{red}{polarizability}} {color{blue}{$alpha$}} of the molecule:
item The alpha_{ij} polarizability tensor is defined through the proportionality of the induced dipole moment to the field strength {vec{F} in the limit vec{F} = 0
Here we go back to the definitions of the properties as derivatives of the energy in the presence of the perturbation by electric field.
Rational models are defined as ratios of polynomials and are given by
where the coefficient associated with x^m is always 1. This makes the numerator and denominator unique when the polynomial degrees are the same. In our polarizability calculations, the expression is:
4.4. Excitation energy¶
4.4.1. Configuration Interaction Singles (CIS)¶
The fundamental idea behind CIS is the representation of the excited-state wave functions as linear combinations of singly excited determinants relative to the Hartree-Fock reference wave function, viz.
where m identifies the various excited states, and we will use i and j (a and b) to denote occupied (unoccupied) spin-orbitals. Inserting this into the Schrödinger equation and left-projecting onto a particular singly excited determinant gives
If we recognize that we have one of these equations for every combination of i and a spin-orbitals, then this equation may be viewed as a matrix eigenvalue problem:
4.4.2. Time-Dependent Hartree Fock (TDHF)/The Random Phase Approximation (RPA)¶
The TDHF/RPA approach is closely related to CIS in that only singles are involved in the wave function expansion, except that both excitation and “de-excitation” operators are involved. (It is probably better to view the TDHF/RPA wave function expansion in terms of orbital rotations instead of Slater determinants, but that’s a discussion for another day.) The TDHF/RPA eigenvalue equations take the form
The definition of the A matrix is just the CIS matrix itself, viz.
while X and Y are the parameters of single excitations and de-excitations, respectively, and the B matrix is simply


Mining & Community Research is a nonprofit research group with core objective of finding solutions to issues in the extractive industry in Ghana and Africa to ensure sustainability in the sector. One key area is artisanal and small-scale mining.
To identify independent sources of funding to undertake research that benefits communities affected by extraction of natural resources.
To offer outstanding research that will assist communities and clients to make sustainable decisions.
To make use of innovative and current scientific methodologies to conduct research and produce compelling results.
M&CR was started in 2014 as a ...
MCR currently has 6 members, all of which are professionals and registered with internationally
acclaimed societies and bodies. Such are ...
We started in a ...
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Mining & Community Research is a nonprofit research group with core objective of finding solutions to issues in the extractive industry in Ghana and Africa to ensure sustainability in the sector. One key area is artisanal and small-scale mining.


Ruby Variable Scope
Posted on 13 July 2014 by Kyle Daugherty
In Ruby, there are five different types of variable scope. The scope of a variable defines where that variable is visible or may be accessed. Let's "scope" these out one by one, starting with the most commonly used.
Local variables start with a lowercase letter or an underscore - for example, my_var. It is Ruby convention to use snake_case for variable names with more than one word. Local variables are available in the block in which they are declared. For instance, in the following code snippet, the variable some_var in method_1 does not affect the some_var variable in method_2 because they are in different scopes.
Instance variables begin with a single @ symbol. Instance variables differ from local variables because they are available throughout the instance of a class and are bound to a specific object. For example, if a User class that contains an instance variable @name, each instance of that class will have its own value for @name. When one instance of the class changes the value of @name, it only affects that particular object.
Class variables are prefixed with two @ symbols like so: @@total_users. Class variables are shared across all instances of a class meaning that only one value exists for all objects instantiated from the class. So, if one object changes the value of the variable, that new value will now be used for all other instances of that class. Below is an example of this in our User class. We need a way of storing the total number of users, so we've created the @@total_users class variable.
Global variables are depicted with a $ sign in front of them - for example, $global. Global variables are accessible from anywhere in the entire program. Simply put, they never go out of scope. They can be changed from anywhere in the program. For this reason, careful consideration should be given before deciding to use them as they can make debugging a program complicated.
Constants begin with an uppercase letter, but Ruby convention is to use either camel case or underscore-separated all-uppercase words. Constants are values that should not be changed once declared. Although, Ruby does allow a constant value to be changed, but the ruby interpreter will give you a warning message. Constants declared within a class or module are available anywhere within the context of that class or module. If a constant is declared outside of a class or module, then it is assigned global scope. The mathematical constant Pi is an example of when you might use a constant.


When searching for custom plugins i constantly get outdated plugins from BF3 version of battlelog.
Could somehow be add at plugins for wich battlelog they are compatible
Thanks
Post edited 1 x times, last by
BrainFooLong
Administrator
BrainFooLong
Administrator
This is a thing of the plugin creator. It should be named in the title if it is compatible with just a special battlelog version. I'll update the plugin thread rules.


"CHOSEN "spoken of warriors (Exodus 15:4; Judges 20:16), of the Hebrew nation (Psalm 105:43; Deuteronomy 7:7), of Jerusalem as the seat of the temple (1 Kings 11:13). Christ is the “chosen” of God (Isaiah 42:1); and the apostles are “chosen” for their work (Acts 10:41). It is said with regard to those who do not profit by their opportunities that “many are called, but few are chosen” (Matthew 20:16). (See ELECTION.)
"CHOSEN "spoken of warriors (Exodus 15:4; Judges 20:16), of the Hebrew nation (Psalm 105:43; Deuteronomy 7:7), of Jerusalem as the seat of the temple (1 Kings 11:13). Christ is the “chosen” of God (Isaiah 42:1); and the apostles are “chosen” for their work (Acts 10:41). It is said with regard to those who do not profit by their opportunities that “many are called, but few are chosen” (Matthew 20:16). (See ELECTION.)


Prefect Lakan:
The most powerful warrior? Yeah, right!
True, I was once a brave warrior of the Atuba tribe, but that was long ago.
Now I'll never live down the shame of my disgrace...
"What happened?"


Go to the source code of this file.
| #define SDFM_O_SDIFLG 0x0U |
Referenced by SDFM_getIsrStatus(), SDFM_getModulatorStatus(), SDFM_getNewFilterDataStatus(), and SDFM_getThresholdStatus().
| #define SDFM_O_SDIFLGCLR 0x2U |
Referenced by SDFM_clearInterruptFlag().
| #define SDFM_O_SDCTL 0x4U |
Referenced by SDFM_disableMasterInterrupt(), and SDFM_enableMasterInterrupt().
| #define SDFM_O_SDMFILEN 0x6U |
Referenced by SDFM_disableMasterFilter(), and SDFM_enableMasterFilter().
| #define SDFM_O_SDCTLPARM1 0x10U |
Referenced by SDFM_setupModulatorClock().
| #define SDFM_O_SDDFPARM1 0x11U |
| #define SDFM_O_SDDPARM1 0x12U |
Referenced by SDFM_setDataShiftValue(), and SDFM_setOutputDataFormat().
| #define SDFM_O_SDCMPH1 0x13U |
Referenced by SDFM_setCompFilterHighThreshold().
| #define SDFM_O_SDCMPL1 0x14U |
Referenced by SDFM_setCompFilterLowThreshold().
| #define SDFM_O_SDCPARM1 0x15U |
| #define SDFM_O_SDDATA1 0x16U |
Referenced by SDFM_getFilterData().
| #define SDFM_O_SDCTLPARM2 0x20U |
| #define SDFM_O_SDDFPARM2 0x21U |
| #define SDFM_O_SDDPARM2 0x22U |
| #define SDFM_O_SDCMPH2 0x23U |
| #define SDFM_O_SDCMPL2 0x24U |
| #define SDFM_O_SDCPARM2 0x25U |
| #define SDFM_O_SDDATA2 0x26U |
| #define SDFM_O_SDCTLPARM3 0x30U |
| #define SDFM_O_SDDFPARM3 0x31U |
| #define SDFM_O_SDDPARM3 0x32U |
| #define SDFM_O_SDCMPH3 0x33U |
| #define SDFM_O_SDCMPL3 0x34U |
| #define SDFM_O_SDCPARM3 0x35U |
| #define SDFM_O_SDDATA3 0x36U |
| #define SDFM_O_SDCTLPARM4 0x40U |
| #define SDFM_O_SDDFPARM4 0x41U |
| #define SDFM_O_SDDPARM4 0x42U |
| #define SDFM_O_SDCMPH4 0x43U |
| #define SDFM_O_SDCMPL4 0x44U |
| #define SDFM_O_SDCPARM4 0x45U |
| #define SDFM_O_SDDATA4 0x46U |
| #define SDFM_SDIFLG_IFH1 0x1U |
| #define SDFM_SDIFLG_IFL1 0x2U |
| #define SDFM_SDIFLG_IFH2 0x4U |
| #define SDFM_SDIFLG_IFL2 0x8U |
| #define SDFM_SDIFLG_IFH3 0x10U |
| #define SDFM_SDIFLG_IFL3 0x20U |
| #define SDFM_SDIFLG_IFH4 0x40U |
| #define SDFM_SDIFLG_IFL4 0x80U |
| #define SDFM_SDIFLG_MF1 0x100U |
| #define SDFM_SDIFLG_MF2 0x200U |
| #define SDFM_SDIFLG_MF3 0x400U |
| #define SDFM_SDIFLG_MF4 0x800U |
| #define SDFM_SDIFLG_AF1 0x1000U |
| #define SDFM_SDIFLG_AF2 0x2000U |
| #define SDFM_SDIFLG_AF3 0x4000U |
| #define SDFM_SDIFLG_AF4 0x8000U |
| #define SDFM_SDIFLG_MIF 0x80000000U |
| #define SDFM_SDIFLGCLR_IFH1 0x1U |
| #define SDFM_SDIFLGCLR_IFL1 0x2U |
| #define SDFM_SDIFLGCLR_IFH2 0x4U |
| #define SDFM_SDIFLGCLR_IFL2 0x8U |
| #define SDFM_SDIFLGCLR_IFH3 0x10U |
| #define SDFM_SDIFLGCLR_IFL3 0x20U |
| #define SDFM_SDIFLGCLR_IFH4 0x40U |
| #define SDFM_SDIFLGCLR_IFL4 0x80U |
| #define SDFM_SDIFLGCLR_MF1 0x100U |
| #define SDFM_SDIFLGCLR_MF2 0x200U |
| #define SDFM_SDIFLGCLR_MF3 0x400U |
| #define SDFM_SDIFLGCLR_MF4 0x800U |
| #define SDFM_SDIFLGCLR_AF1 0x1000U |
| #define SDFM_SDIFLGCLR_AF2 0x2000U |
| #define SDFM_SDIFLGCLR_AF3 0x4000U |
| #define SDFM_SDIFLGCLR_AF4 0x8000U |
| #define SDFM_SDIFLGCLR_MIF 0x80000000U |
| #define SDFM_SDCTL_MIE 0x2000U |
Referenced by SDFM_disableMasterInterrupt(), and SDFM_enableMasterInterrupt().
| #define SDFM_SDMFILEN_MFE 0x800U |
Referenced by SDFM_disableMasterFilter(), and SDFM_enableMasterFilter().
| #define SDFM_SDCTLPARM1_MOD_S 0U |
| #define SDFM_SDCTLPARM1_MOD_M 0x3U |
Referenced by SDFM_setupModulatorClock().
| #define SDFM_SDDFPARM1_DOSR_S 0U |
| #define SDFM_SDDFPARM1_DOSR_M 0xFFU |
Referenced by SDFM_setFilterOverSamplingRatio().
| #define SDFM_SDDFPARM1_FEN 0x100U |
Referenced by SDFM_disableFilter(), and SDFM_enableFilter().
| #define SDFM_SDDFPARM1_AE 0x200U |
Referenced by SDFM_disableInterrupt(), and SDFM_enableInterrupt().
| #define SDFM_SDDFPARM1_SST_S 10U |
| #define SDFM_SDDFPARM1_SST_M 0xC00U |
Referenced by SDFM_setFilterType().
| #define SDFM_SDDFPARM1_SDSYNCEN 0x1000U |
Referenced by SDFM_disableExternalReset(), and SDFM_enableExternalReset().
| #define SDFM_SDDPARM1_DR 0x400U |
Referenced by SDFM_setOutputDataFormat().
| #define SDFM_SDDPARM1_SH_S 11U |
Referenced by SDFM_setDataShiftValue().
| #define SDFM_SDDPARM1_SH_M 0xF800U |
Referenced by SDFM_setDataShiftValue().
| #define SDFM_SDCMPH1_HLT_S 0U |
| #define SDFM_SDCMPH1_HLT_M 0x7FFFU |
Referenced by SDFM_setCompFilterHighThreshold().
| #define SDFM_SDCMPL1_LLT_S 0U |
| #define SDFM_SDCMPL1_LLT_M 0x7FFFU |
Referenced by SDFM_setCompFilterLowThreshold().
| #define SDFM_SDCPARM1_COSR_S 0U |
| #define SDFM_SDCPARM1_COSR_M 0x1FU |
Referenced by SDFM_setCompFilterOverSamplingRatio().
| #define SDFM_SDCPARM1_IEH 0x20U |
| #define SDFM_SDCPARM1_IEL 0x40U |
| #define SDFM_SDCPARM1_CS1_CS0_S 7U |
| #define SDFM_SDCPARM1_CS1_CS0_M 0x180U |
Referenced by SDFM_setComparatorFilterType().
| #define SDFM_SDCPARM1_MFIE 0x200U |
| #define SDFM_SDDATA1_DATA16_S 0U |
| #define SDFM_SDDATA1_DATA16_M 0xFFFFU |
| #define SDFM_SDDATA1_DATA32HI_S 16U |
| #define SDFM_SDDATA1_DATA32HI_M 0xFFFF0000U |
| #define SDFM_SDCTLPARM2_MOD_S 0U |
| #define SDFM_SDCTLPARM2_MOD_M 0x3U |
| #define SDFM_SDDFPARM2_DOSR_S 0U |
| #define SDFM_SDDFPARM2_DOSR_M 0xFFU |
| #define SDFM_SDDFPARM2_FEN 0x100U |
| #define SDFM_SDDFPARM2_AE 0x200U |
| #define SDFM_SDDFPARM2_SST_S 10U |
| #define SDFM_SDDFPARM2_SST_M 0xC00U |
| #define SDFM_SDDFPARM2_SDSYNCEN 0x1000U |
| #define SDFM_SDDPARM2_DR 0x400U |
| #define SDFM_SDDPARM2_SH_S 11U |
| #define SDFM_SDDPARM2_SH_M 0xF800U |
| #define SDFM_SDCMPH2_HLT_S 0U |
| #define SDFM_SDCMPH2_HLT_M 0x7FFFU |
| #define SDFM_SDCMPL2_LLT_S 0U |
| #define SDFM_SDCMPL2_LLT_M 0x7FFFU |
| #define SDFM_SDCPARM2_COSR_S 0U |
| #define SDFM_SDCPARM2_COSR_M 0x1FU |
| #define SDFM_SDCPARM2_IEH 0x20U |
| #define SDFM_SDCPARM2_IEL 0x40U |
| #define SDFM_SDCPARM2_CS1_CS0_S 7U |
| #define SDFM_SDCPARM2_CS1_CS0_M 0x180U |
| #define SDFM_SDCPARM2_MFIE 0x200U |
| #define SDFM_SDDATA2_DATA16_S 0U |
| #define SDFM_SDDATA2_DATA16_M 0xFFFFU |
| #define SDFM_SDDATA2_DATA32HI_S 16U |
| #define SDFM_SDDATA2_DATA32HI_M 0xFFFF0000U |
| #define SDFM_SDCTLPARM3_MOD_S 0U |
| #define SDFM_SDCTLPARM3_MOD_M 0x3U |
| #define SDFM_SDDFPARM3_DOSR_S 0U |
| #define SDFM_SDDFPARM3_DOSR_M 0xFFU |
| #define SDFM_SDDFPARM3_FEN 0x100U |
| #define SDFM_SDDFPARM3_AE 0x200U |
| #define SDFM_SDDFPARM3_SST_S 10U |
| #define SDFM_SDDFPARM3_SST_M 0xC00U |
| #define SDFM_SDDFPARM3_SDSYNCEN 0x1000U |
| #define SDFM_SDDPARM3_DR 0x400U |
| #define SDFM_SDDPARM3_SH_S 11U |
| #define SDFM_SDDPARM3_SH_M 0xF800U |
| #define SDFM_SDCMPH3_HLT_S 0U |
| #define SDFM_SDCMPH3_HLT_M 0x7FFFU |
| #define SDFM_SDCMPL3_LLT_S 0U |
| #define SDFM_SDCMPL3_LLT_M 0x7FFFU |
| #define SDFM_SDCPARM3_COSR_S 0U |
| #define SDFM_SDCPARM3_COSR_M 0x1FU |
| #define SDFM_SDCPARM3_IEH 0x20U |
| #define SDFM_SDCPARM3_IEL 0x40U |
| #define SDFM_SDCPARM3_CS1_CS0_S 7U |
| #define SDFM_SDCPARM3_CS1_CS0_M 0x180U |
| #define SDFM_SDCPARM3_MFIE 0x200U |
| #define SDFM_SDDATA3_DATA16_S 0U |
| #define SDFM_SDDATA3_DATA16_M 0xFFFFU |
| #define SDFM_SDDATA3_DATA32HI_S 16U |
| #define SDFM_SDDATA3_DATA32HI_M 0xFFFF0000U |
| #define SDFM_SDCTLPARM4_MOD_S 0U |
| #define SDFM_SDCTLPARM4_MOD_M 0x3U |
| #define SDFM_SDDFPARM4_DOSR_S 0U |
| #define SDFM_SDDFPARM4_DOSR_M 0xFFU |
| #define SDFM_SDDFPARM4_FEN 0x100U |
| #define SDFM_SDDFPARM4_AE 0x200U |
| #define SDFM_SDDFPARM4_SST_S 10U |
| #define SDFM_SDDFPARM4_SST_M 0xC00U |
| #define SDFM_SDDFPARM4_SDSYNCEN 0x1000U |
| #define SDFM_SDDPARM4_DR 0x400U |
| #define SDFM_SDDPARM4_SH_S 11U |
| #define SDFM_SDDPARM4_SH_M 0xF800U |
| #define SDFM_SDCMPH4_HLT_S 0U |
| #define SDFM_SDCMPH4_HLT_M 0x7FFFU |
| #define SDFM_SDCMPL4_LLT_S 0U |
| #define SDFM_SDCMPL4_LLT_M 0x7FFFU |
| #define SDFM_SDCPARM4_COSR_S 0U |
| #define SDFM_SDCPARM4_COSR_M 0x1FU |
| #define SDFM_SDCPARM4_IEH 0x20U |
| #define SDFM_SDCPARM4_IEL 0x40U |
| #define SDFM_SDCPARM4_CS1_CS0_S 7U |
| #define SDFM_SDCPARM4_CS1_CS0_M 0x180U |
| #define SDFM_SDCPARM4_MFIE 0x200U |
| #define SDFM_SDDATA4_DATA16_S 0U |
| #define SDFM_SDDATA4_DATA16_M 0xFFFFU |
| #define SDFM_SDDATA4_DATA32HI_S 16U |
| #define SDFM_SDDATA4_DATA32HI_M 0xFFFF0000U |


It is an abbreviation for Formula Translation. IBM introduced FORTRAN in 1957. It is a very useful language for scientific and engineering computations as it contains many functions for performing complex mathematical operations.
COBOLIt is an abbreviation for Common Business Oriented Language. COBOL was developed specially for business data processing. It was introduced by the US industry/government committee in 1960 and is used for large business and commercial applications such as handling of ledgers, accounts and payroll files etc.
PASCALIt is a high-level language named in honor of Blase Pascal, a seventeenth century French mathematician, philosopher and inventor. It is a multi-purpose language suitable for both scientific and business applications. Besides numbers, it can also manipulate vectors, matrices and strings of characters, sets, records, files and lists.
BASICIt is an abbreviation for Beginners All-purpose Symbolic Instruction Code. It was introduced in 1965 by Dartmouth College. BASIC is a widely used language for simple computations and analysis.
ALGOLIt is an abbreviation for Algorithmic Language. An international committee introduced it in 1958. It is suitable for scientific and engineering computations. It is used in some universities and computer centres, but not in industries.
"C" LanguagesIt is a general-purpose high-level language. A group at Bell Telephone Laboratories, USA in the early 1970s, designed this language. It has features similar to PASCAL. It permits manipulation of internal processor registers and hence a programmer can write low-level machine instructions.
LOGOIt is an abbreviation for Logic Oriented Graphic Oriented. Seymour Papert and his colleagues at MIT developed it in the late 1960s. It is used in serious scientific work in universities. It has also been popularized as a first educational language that children can use to achieve intellectual growth and problem-solving skills.
LISPIt stands for List Processing. McCarthy developed this language in the early 1960s. LISP is suitable for nonnumeric operations involving logical operations. It is used extensively in artificial intelligence and pattern recognition. It is also used in designing computer games, proving theorems etc.
JAVAJava was introduced by Sun Microsystems in 1995. Java is a programming language designed for use in the distributed environment of the Internet. It was designed to have the "look and feel" of the C++ language, but it is simpler to use than C++ and enforces an object-oriented programming model.


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CRay Engine Mini
|
Functions for the creation and handling of materials. More...
Functions | |
| cr_float | CR_getDielectricIOR (CRAY_IOR_DIELECTRICS dielectric) |
| Returns the internal index of refraction from a list of predefined dielectrics. More... | |
| CRAY_HANDLE | CR_addMaterialDiffuseReflection (cr_vec3 diffuse_reflection_color) |
| Creates a diffuse reflection material, modeled as a pure lambertian surface. It can be used to model matte materials. More... | |
| CRAY_HANDLE | CR_addMaterialDiffuseTransmission (cr_vec3 diffuse_transmission_color) |
| Creates a diffuse transmission material, modeled as a pure lambertian surface. It can be used to model translucent materials. More... | |
| CRAY_HANDLE | CR_addMaterialDiffuse (cr_vec3 diffuse_reflection_color, cr_vec3 diffuse_transmission_color, cr_float eta_t) |
| Creates a diffuse material representing rough reflection and transmission, modeled as a pure lambertian surface. It can be used to model translucent materials. More... | |
| cr_vec3 | CR_getConductorIOR (CRAY_IOR_CONDUCTORS conductor) |
| Returns the internal index of refraction from a list of predefined conductors. More... | |
| cr_vec3 | CR_getConductorAbsorption (CRAY_IOR_CONDUCTORS conductor) |
| Returns the absorption coefficients from a list of predefined conductors. More... | |
| CRAY_HANDLE | CR_addMaterialConductor (cr_vec3 reflection_color, cr_vec3 absorption, cr_vec3 eta_t, cr_float roughness) |
| Creates a conductor material. More... | |
| CRAY_HANDLE | CR_addMaterialDielectricSpecularReflection (cr_vec3 reflection_color, cr_float roughness) |
| Creates a dielectric material representing smooth/rough reflection with an isotropic Trowbridge-Reitz(GGX) microfacet model. It can be used to model mirror materials. More... | |
| CRAY_HANDLE | CR_addMaterialDielectricSpecular (cr_vec3 reflection_color, cr_vec3 transmission_color, cr_float eta_t, cr_float roughness) |
| Creates a dielectric material representing smooth/rough reflection and transmission with an isotropic Trowbridge-Reitz(GGX) microfacet model. It can be used to model glass materials. More... | |
| CRAY_HANDLE | CR_addMaterialDielectricSpecularTransmission (cr_vec3 transmission_color, cr_float eta_t, cr_float roughness) |
| Creates a dielectric material representing smooth/rough transmission with an isotropic Trowbridge-Reitz(GGX) microfacet model. It can be used to model purely transmissive surfaces. More... | |
| CRAY_HANDLE | CR_addMaterialDiffuseSpecularReflection (cr_vec3 diffuse_reflection_color, cr_vec3 specular_reflection_color, cr_float eta_t, cr_float roughness) |
| Creates a mixed dielectric material with both diffuse and specular (both smooth/rough) reflection components. The diffuse component is modeled as a pure lambertian surface, while the specular employs an isotropic Trowbridge-Reitz(GGX) microfacet model. More... | |
Functions for the creation and handling of materials.
| CRAY_HANDLE CR_addMaterialConductor | ( | cr_vec3 | reflection_color, |
| cr_vec3 | absorption, | ||
| cr_vec3 | eta_t, | ||
| cr_float | roughness | ||
| ) |
Creates a conductor material.
| reflection_color | The reflection color of the component. This can be used for artistic purposes, as the material's physical color is dictated by the other parameters. |
| absorption | The absorption coefficients. This can be provided directly or through the list of predefined materials using CR_getConductorAbsorption. |
| eta_t | The index of refraction. This can be provided directly or through the list of predefined materials using CR_getConductorIOR. |
| roughness | The roughness parameter of the specular component. 0 denotes a perfectly smooth (dirac) surface. |
| CRAY_HANDLE CR_addMaterialDielectricSpecular | ( | cr_vec3 | reflection_color, |
| cr_vec3 | transmission_color, | ||
| cr_float | eta_t, | ||
| cr_float | roughness | ||
| ) |
Creates a dielectric material representing smooth/rough reflection and transmission with an isotropic Trowbridge-Reitz(GGX) microfacet model. It can be used to model glass materials.
| reflection_color | The reflection color of the specular component. |
| transmission_color | The transmission color of the specular component. |
| eta_t | The index of refraction. This can be provided directly or through the list of predefined materials using CR_getDielectricIOR. |
| roughness | The roughness parameter of the specular component. 0 denotes a perfectly smooth (dirac) surface. |
| CRAY_HANDLE CR_addMaterialDielectricSpecularReflection | ( | cr_vec3 | reflection_color, |
| cr_float | roughness | ||
| ) |
Creates a dielectric material representing smooth/rough reflection with an isotropic Trowbridge-Reitz(GGX) microfacet model. It can be used to model mirror materials.
| reflection_color | The reflection color of the specular component. |
| roughness | The roughness parameter of the specular component. 0 denotes a perfectly smooth (dirac) surface. |
| CRAY_HANDLE CR_addMaterialDielectricSpecularTransmission | ( | cr_vec3 | transmission_color, |
| cr_float | eta_t, | ||
| cr_float | roughness | ||
| ) |
Creates a dielectric material representing smooth/rough transmission with an isotropic Trowbridge-Reitz(GGX) microfacet model. It can be used to model purely transmissive surfaces.
| transmission_color | The transmission color of the specular component. |
| eta_t | The index of refraction. This can be provided directly or through the list of predefined materials using CR_getDielectricIOR. |
| roughness | The roughness parameter of the specular component. 0 denotes a perfectly smooth (dirac) surface. |
| CRAY_HANDLE CR_addMaterialDiffuse | ( | cr_vec3 | diffuse_reflection_color, |
| cr_vec3 | diffuse_transmission_color, | ||
| cr_float | eta_t | ||
| ) |
Creates a diffuse material representing rough reflection and transmission, modeled as a pure lambertian surface. It can be used to model translucent materials.
| diffuse_reflection_color | The reflection color of the material. |
| diffuse_transmission_color | The transmission color of the material. |
| eta_t | The index of refraction. This can be provided directly or through the list of predefined materials using CR_getDielectricIOR. |
| CRAY_HANDLE CR_addMaterialDiffuseReflection | ( | cr_vec3 | diffuse_reflection_color | ) |
Creates a diffuse reflection material, modeled as a pure lambertian surface. It can be used to model matte materials.
| diffuse_reflection_color | The reflection color of the material. |
| CRAY_HANDLE CR_addMaterialDiffuseSpecularReflection | ( | cr_vec3 | diffuse_reflection_color, |
| cr_vec3 | specular_reflection_color, | ||
| cr_float | eta_t, | ||
| cr_float | roughness | ||
| ) |
Creates a mixed dielectric material with both diffuse and specular (both smooth/rough) reflection components. The diffuse component is modeled as a pure lambertian surface, while the specular employs an isotropic Trowbridge-Reitz(GGX) microfacet model.
| diffuse_reflection_color | The reflection color of the diffuse component. |
| specular_reflection_color | The reflection color of the specular component. |
| eta_t | The index of refraction. This can be provided directly or through the list of predefined materials using CR_getDielectricIOR. |
| roughness | The roughness parameter of the specular component. 0 denotes a perfectly smooth (dirac) surface. |
| CRAY_HANDLE CR_addMaterialDiffuseTransmission | ( | cr_vec3 | diffuse_transmission_color | ) |
Creates a diffuse transmission material, modeled as a pure lambertian surface. It can be used to model translucent materials.
| diffuse_transmission_color | The transmission color of the material. |
| cr_vec3 CR_getConductorAbsorption | ( | CRAY_IOR_CONDUCTORS | conductor | ) |
Returns the absorption coefficients from a list of predefined conductors.
| conductor | The conductor type. |
| cr_vec3 CR_getConductorIOR | ( | CRAY_IOR_CONDUCTORS | conductor | ) |
Returns the internal index of refraction from a list of predefined conductors.
| conductor | The conductor type |
| cr_float CR_getDielectricIOR | ( | CRAY_IOR_DIELECTRICS | dielectric | ) |
Returns the internal index of refraction from a list of predefined dielectrics.
| dielectric | The dielectric type. |


{% include datapanel.html %}
{% include panel-services.html %}
Xposeo Dashboard
This is the new default theme
These are infoboxes displaying key values for quick overviews. All the dashboard components should probably be editable.
{% include panel-services.html %}
Visitor Trends December 2013
Visitor Distribution December 2013
The distribution between new and returning visitors is significant for the perfomance of the new app
CPI
Time on Site
Site Visits
Heads up - looks like you have not added any configuration parameters yes
Now problem. just use the administration link in the toolbar to add basic system setup information


Hooting Yard is back again after a fortnight's break. During this time your editor has been engaged in exciting discussions with Hollywood moguls about a new television series. Zeigler And Locke will be a spin-off from two existing shows, featuring Toby Zeigler from The West Wing and Mr Locke from Lost. No one seemed to know what to do with the partnership. Should they be crusaders against evil, like Batman and Superman? Arch-rivals perhaps? Or just buddies on a pointless road trip?
I am not sure why I was called in as a consultant. I messed around with a few templates—Steptoe and Son, Boswell and Johnson, Cagney and Lacey—but my parting advice, before coming home from the hills, was that Zeigler and Locke would work best by having the two protagonists as argumentative ornithologists roaming the hills and fields of a distant country, never agreeing on the identification of the various birds they spot. In each hour-long episode they would come upon one bird, and the conceit would be that every single time neither of them would be correct. In my pilot episode, what Zeigler argues is a peewit, and Locke insists is a moorhen, turns out to be a grebe.


speed:
1
score:
0
high score:
0
number of runs:
0
wins:
0
Average score:
0
Gamemode: User controlled


the width
Check if a point is inside this rectangle.
true if the point is inside the rectangle.
Check if a rectangle is inside this rectangle.
the rectangle
true if rect is inside this.
Grows this rectangle so that it contains a point
the point's position
Returns an array of adjacent floor tiles if the given tile is a wall, or an empty array if the given tile is not a wall.
the x position of the tile to check.
the y position of the tile to check.
Check if a rectangle is intersecting this rectangle.
the rectangle
true if rect and this are intersecting.
Tests if a tile is a wall with at least one adjacent floor tile.
the x position of the tile to check.
the y position of the tile to check.
Sets dirty to false and returns if it was dirty.
Update the size of this rectangle.
the width
the height
Generated using TypeDoc
the height


Texture
The Free URL Scraper
About
Texture lets you create beautiful previews for links that your users post in your web or mobile apps. It was developed within 24 hours at Hack@Brown by four Brown University students. The purpose of Texture as a URL scraper is to provide previews of webpages by extracting and synthesizing their essential information. This way, anyone can share links on their website in an informative and clean manner.
Get in touch: Krishna Chaitanya Aluru, Surbhi Madan, Julia Wu, and Athyuttam Eleti.


--- layout: archive title: Zulip Chat Archive permalink: /stream/116395-maths/topic/integral.20rational.20numbers.html ---
I want to write a lemma that says that a rational number is an integer if all its p-adic valuations are nonnegative. What is the correct mathlib-idiomatic way to express this? I currently have
lemma integral_of_padic_val_ge_zero (r : ℚ) (h : ∀ p, nat.prime p → padic_val_rat p r ≥ 0) : (r.num : ℚ) = r :=
The conclusion becomes int.cast r.num = r
. Is that a good way, or should we use something else?
There are so many ways one could write this, perhaps it's worth adding a dedicated one is_int
In general it could be defined as being in the image of int.cast
Yeah... that's part of what I'm after with this question
I have felt for around a year now that for every "troublesome-to-a-mathematician" inclusion (e.g. like int in real) there could be a typeclass on the bigger type (e.g. complex.is_int
), or even two typeclasses (the one which stores the int and the one which just says one exists). I have raised this suggestion before. One disadvantage pointed out to me was that now you get a "new int" (in fact several), i.e. {q : rat // is_int q}
, which apparently is somehow bad.
But maybe using r.num
instead of some chosen preimage should make things more computable?
One advantage was that you remove all the cast headaches; type class inferences shows is_int z -> is_rat z
for example.
you get a "new int" (in fact several), i.e.
{q : rat // is_int q}
, which apparently is somehow bad.
Very bad :joy: after all... they aren't equal. Only canonically isomorphic :tears:
Yeah exactly. In some sense that's what makes it bad! You don't want canonically isomorphic stuff, you want stuff which is one of the standard type theory equals :-/
In fact perhaps the reason the CS guys tell us it's bad is precisely because we don't have the transfer
tactic which will enable us to port all the stuff we want from one type to the canonically isomorphic one.
[right, as Patrick says, back to mowing the lawn...]
{% endraw %}Last updated: Apr 24 2020 at 19:02 UTC


|
Pebble Foundation Classes
0.2.0
C++ for Pebble
|
Classes | |
| struct | UnobstructedAreaHandlers |
Typedefs | |
| typedef void(* | UnobstructedAreaWillChangeHandler) (GRect final_unobstructed_screen_area, void *context) |
| typedef void(* | UnobstructedAreaChangeHandler) (AnimationProgress progress, void *context) |
| typedef void(* | UnobstructedAreaDidChangeHandler) (void *context) |
| typedef struct UnobstructedAreaHandlers | UnobstructedAreaHandlers |
Functions | |
| void | unobstructed_area_service_subscribe (UnobstructedAreaHandlers handlers, void *context) |
| void | unobstructed_area_service_unsubscribe (void) |
| Unsubscribe from notifications about changes to the app's unobstructed area. | |
| typedef void(* UnobstructedAreaChangeHandler) (AnimationProgress progress, void *context) |
Handler that will be called every time the unobstructed area changes
| progress | The progress of the animation changing the unobstructed area. |
| context | A user-provided context. |
| typedef void(* UnobstructedAreaDidChangeHandler) (void *context) |
Handler that will be called after the unobstructed area has finished changing
| context | A user-provided context. |
| typedef void(* UnobstructedAreaWillChangeHandler) (GRect final_unobstructed_screen_area, void *context) |
Handler that will be called just before the unobstructed area will begin changing
| final_unobstructed_screen_area | The final unobstructed screen area after the unobstructed area has finished changing. |
| context | A user-provided context. |
| void unobstructed_area_service_subscribe | ( | UnobstructedAreaHandlers | handlers, |
| void * | context | ||
| ) |
Subscribe to be notified when the app's unobstructed area changes. When an unobstructed area begins changing, the will_change
handler will be called, and every will_change
call is always paired with a did_change
call that occurs when it is done changing given that the will_change
and did_change
handlers are set. When subscribing while the unobstructed area is changing, the will_change
handler will be called after subscription in the next event loop.
| handlers | The handlers that should be called when the unobstructed area changes. |
| context | A user-provided context that will be passed to the callback handlers. |


I suppose if we couldn't laugh at things that don't make sense, we couldn't react to a lot of life.
The only skills I have patience to learn are those that have no real application in life.


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We monetize tables!
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{{data.summary_feature}}
| Values | |
|---|---|
| Parameter | |
| Equatorial Diameter: | 6,792 km |
| Polar Diameter: | 6,752 km |
| Mass: | 6.42 x 10^23 kg (10.7% Earth) |
| Moons: | 2 (Phobos & Deimos) |
| Orbit Distance: | 227,943,824 km (1.52 AU) |
| Orbit Period: | 687 days (1.9 years) |
| Surface Temperature: | -153 to 20 �C |
| First Record: | 2nd millennium BC |
| Recorded By: | Egyptian astronomers |


This text is bold
This text is italic
This is subscript andsuperscript
This text is emphasized
This is some smaller text
Do not miss the bus
My favorite color is navy blue
My favorite color is white black


LZW compression
Main features
- output: a series of numbers / pointers to dictionary
- growing dictionary
- last symbol of previous phrase is first symbol of the following phrase
History
- 1984 Terry Welch invented LZW.
- 1985 LZW patent granted to Sperry Corporation.
- Unisys acquired Sperry Corporation.
- CompuServe designed GIF format (using LZW).
- GIF became common picture format.
- Unisys asked CompuServe for a license.
- Other important licensees: Aldus (1991, TIFF), Adobe (1990, PostScript level II), ...
- PNG (Portable Network Graphics) developed to replace GIF and avoid pattent claims.
- LZW patents expired in 2003 in USA and in 2004 in Europe, Japan, Canada.
Description
The compressor algorithm builds a string translation table from the text being compressed. The string translation table maps fixed-length codes (usually 12-bit) to strings. The string table is initialized with all single-character strings (256 entries in the case of 8-bit characters). As the compressor character-serially examines the text, it stores every unique two-character string into the table as a code/character concatenation, with the code mapping to the corresponding first character. As each two-character string is stored, the first character is outputted. Whenever a previously-encountered string is read from the input, the longest such previously-encountered string is determined, and then the code for this string concatenated with the extension character (the next character in the input) is stored in the table. The code for this longest previously-encountered string is outputted and the extension character is used as the beginning of the next string.
Pseudo-code
begin
initialize dictionary
current_node = root
while not eof(input) do begin
letter = getchar(input)
next_node = current_node.edges[letter]
if can't go further from current_node then begin
output = current_node.number
insert new edge through input letter from current_node with number = node_count
increment node_count
current_node = move from root to next node through input letter
end
else begin
current_node = next_node
end
end
end
References
- WikiPedia article
- slides - 36KOD slides


The canvases in the Tabs Pre-Trained and Simulation show a 2-dimensional world with two agents navigating around and roughly 50 items floating randomly around in it.
Both agents are composed with different sensory but with an identical dimensioned "brain" (DQN-Solver). One of the agents has a ray-based sensory and the other one has a field-based sensory. Either sensory enables the agents to detect objects (e.g. items, walls and other agents) in their environment. On collision with an item, the agents are either rewarded or punished, depending on their respective valuation. Based on these incentivizing feedbacks, the agents ultimate goal is to learn to avoid the harmful items and collect the beneficial ones by accelerating either towards or away from the items accordingly. Additionally to the rewards and punishments based on experienced collisions with the items, the agents will experience punishments grounded on their perception of walls and other rivaling agents.
In the Pre-Trained-Section you will find two pre-trained agents from a former simulation run. The Simulation-Section shows two freshly initialized agents, that are to be trained during a simulation run. As it can be observed, the pre-trained agents are already pretty good in contrast to the freshly initialized agents at collecting the beneficial items (green) and avoiding the harmful ones (red). The environment logic ensures that new items are spawned randomly, should an item be consumed by an agent. This means, an item has a random type, a random location and a random speed.
The project is structured into several components. The frontend view, which you can currently see on this website is located in the Learning Agents repository. This frontend view contains the whole simulation control and the utilities to visualize the logic of the model. The model is located in the Learning Agents Model repository. It contains the logic for the behaviors and states of each world component, be it an agent, an item or a wall. With all the sensory, the inference and the actioning the agents are the world components harboring a gross of the logic. The whole logic for the perception, the reward and punishment calculation and the actioning is located within this repository.
In contrast the logic for the inference is located in the reinforce-js library. This inference logic is based on the DQN-Method presented by Mnih et al. (2015) in the research paper "Human-level control through deep reinforcement learning", which itself is based on neural networks in combination with reinforcement learning. The reinforce-js library itself makes use of the recurrent-js library to generate and train the neural networks.
The simulation sequence is configured according to the simulation process of the Mnih et al. (2015) - "Human-level control through deep reinforcement learning" research paper. It is split into two phases a first phase which we will call Trainings Mode and a second phase which we'll call Evaluation Mode. The trainings mode is automatically initialized as the simulation panel is opened. It is a standardized mode which tries to provide equal training conditions for all simulations. In this mode the item population is actively controlled to be somewhat evenly distributed. During this mode the agents inference mechanism is configured to explore their environments state space – meaning the agents will have a high but over time decaying degree of random navigation behaviors. This exploration vs. exploitation decay is linear over time, enforced via the hyperparameter configuration of the individual agents.
After 2.5 million iterations (with 24 iterations per second at normal speed and ≈216 iterations per second at fast speed) the simulation automatically switches the environment and the agents into evaluation mode. During the evaluation mode the agents will have a toned down exploration value, perhaps around 5%. This ensures that most of the exposed behavior will be according to what the neural network of each agent will have approximated, hence it will expose what it has learned to predict.
 In the following list, we provide an overview of the used hyperparameter configuration during this simulation.
| Symbol | Name | Value | Description |
|---|---|---|---|
| ns | numberOfStates |
152 | Perceptable Parameters and size of input layer |
| na | numberOfActions |
4 | Available executable Actions for Agents |
| Symbol | Name | Value | Description |
|---|---|---|---|
| nh | numberOfHiddenUnits |
100 | Dimension of neural network approximator |
| Symbol | Name | Value | Description |
|---|---|---|---|
| εmax | epsilonMax |
1.00 | Upper bound of exploration during training |
| εmin | epsilonMax |
0.10 | Lower bound of exploration during training |
| tε | epsilonDecayPeriod |
1e6 | Duration of exploration-decay |
| ε | epsilon |
0.05 | Static exploration during evaluation mode |
trainingMode |
true | Toggle training and evaluation mode |
| Symbol | Name | Value | Description |
|---|---|---|---|
| γ | gamma |
0.95 | Discount factor of the Bellman equation |
| α | alpha |
0.01 | Discount factor for the neural network update |
doLossClipping |
true |
Toggle loss clipping | |
| Lclamp | lossClamp |
1.00 | Clamp for loss value, for learning stabilization |
doRewardClipping |
true |
Toggle reward clipping | |
| rclamp | rewardClamp |
1.00 | Clamp for reward value, for learning stabilization |
| nExp | experienceSize |
1e6 | Size of the experience memory |
keepExperience-Interval |
25 | Interval for memorizing experiences | |
replaySteps |
10 | Amount of memory replay steps |
The simulation in total endures 10 million iterations. During the simulation several performance measures are captured. For example as in figure 1. and 2. shown the development of the total consumption of items of both agents. On the x-Axis one can find the number of iterations in millions. On the y-Axis one can find the number of consumed items in thousands.
Fig. 1.) Item consumption of agent 1 over time
Fig. 2.) Item consumption of agent 2 over time
The colored lines represent the measurements under the environmental boundary condition of an actively balanced item population (as shown in figure 5) – meaning that the population is being consciously controlled to be balanced. Whereas the dashed lines are representing the measurements under item scarcity (uncontrolled; as shown in figure 6). The higher the green line the better, the lower the red line the better. One can observe that the performance of both agents regarding the avoidance of the harmful (red) items is getting even better under the condition of scarcity.
Figure 3. and 4. present the measurements of the detection punishments in thousands for each agent. It is clearly observable, that in all figures there is a learning curve. The lower all lines the better.
Fig. 3.) Detection punishments of agent 1 over time
Fig. 4.) Detection punishments of agent 2 over time
Even here it is seen, that the learning under the scarcity condition is always outperforming the learning under controlled item population. The explanation for this tendency is simple: In the scarcity scenario, the population of the beneficial items instantaneously decreases to a very small amount. This leads to an excessive exposure of the agents with harmful items, leading them to learn even better to avoid these kind of items. Since now there are few beneficial items on the field and a lot of harmful items the agents are not experiencing a lot of rewards. Hence, the agents can now distinguish even better the source of the rewards and punishments, leading them to also learn better to avoid wall detection.
Fig. 5.) Development of item population
over time under controlled
Fig. 6.) Development of item population
over time under scarcity


Metamask is an easy to use Ethereum wallet and allows to connect your browser to the Ethereum Blockchain.


Meet Our Team
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Manager
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Contact: Send email to<EMAIL_ADDRESS>if you want to leave comment anonymously.


What's New in Fission 2
Fission 2.0 is a major upgrade over previous versions, with many great new features. Read on for an overview of new functionality added since Fission 1. You can always return to this manual via the Start window or the Help menu.
Brand New Interface
Every aspect of Fission has been examined and considered, with enhancements made across the board. If you haven't used Fission before, you'll find it's a snap to learn.
If you have used Fission before, it will be instantly familiar, but very much improved. We've updated the graphics and interface, and also worked to streamline how the most common tasks are performed. Fission is easier and faster than ever.
Multiple Windows
Hallelujah! You can now open multiple files at once in Fission. Now you can copy and paste audio between files or just work on multiple items at the same time.
Cross-Format Conversions
In addition to losslessly editing and saving a file in its original format, Fission can now also convert between formats. Save an AIFF file to MP3, a Apple Lossless file to AAC, or any other conversion you desire.
Batch Converter
Not only can Fission save a single audio file between any of its audio formats, it can also transcode multiple files for you in an instant. Using Fission's Batch Converter, you can convert an entire folder's worth of audio files to a new audio format.
Chapterized AAC Files
Podcasters rejoice! Fission lets you make Enhanced Podcasts with AAC in just seconds. Just place splits to mark chapters, then add artwork and URLs for each chapter. Select "Save as Chapterized AAC", and you'll get a top-quality enhanced podcast file.
SoundCloud Support
If you're a SoundCloud user, you'll love Fission 2! Fission has full support for sharing directly to your SoundCloud account, making it a snap to get your audio files online.
Full FLAC Support, and WAV too
FLAC users will be thrilled, as Fission can now read, edit and write FLAC files. While Fission has always supported the uncompressed AIFF format, as well as the losslessly compressed Apple Lossless format, many users have been asking for full FLAC support, and it's finally here. We've also added in full support for WAV audio files, just for good measure. That means Fission now has full support for the six most popular audio formats: MP3, AAC, Apple Lossless, FLAC, AIFF, and WAV.


--- layout: post title: "From dependency injection to dependency rejection" description: "The problem typically solved by dependency injection in object-oriented programming is solved in a completely different way in functional programming." date: 2017-01-27 7:55 UTC tags: [Software Design, Dependency Injection, Functional Programming, Article Series] image: "/content/binary/dependency-injection-in-scala-comic.jpg" image_alt: "Bob: How do I do dependency injection in Scala? Other man: You don't, because Scala is a functional language. Bob: Fine, it's functional. How do I inject dependencies? Other man: You use a free monad which allows you to build a monad from any Functor.  Other man: I believe I did, Bob." --- {% include JB/setup %}
{{ page.description }}
Several years ago, I wrote a book called Dependency Injection in .NET, which was published in 2011. The book contains examples in C#, but since then I've increasingly become interested in functional programming to the extend that I now consider F# my primary language.
With that combination, it's no wonder that people often ask me how to do dependency injection in functional programming.
I've seen more than one answer, from other people, explaining how partial function application is equivalent to dependency injection. In a small series of articles, I'll explain both why this is true, but also why it's not functional. I'll conclude by showing a functional alternative to decoupling logic and (side) effects.
(Comic courtesy of John Muellerleile and Igal Tabachnik.)
There's another school of functional programmers who believe that dependency injection in functional programming involves a Free monad.
You can often make do with less, though.
In my experience, it's usually enough to refactor a unit to take only direct input and output, and then compose an impure/pure/impure 'sandwich'. You'll see an example later.
This article series contains the following parts:
The scenario is to implement an HTTP-based API that can accept incoming JSON documents that represent restaurant reservations.
The fourth article on pure interactions is a gateway to another article series on free monads.
I should point out that nowhere in this article series do I reject dependency injection as a set of object-oriented patterns. In object-oriented programming, dependency injection is a well-known and comprehensively described way to achieve decoupling and testability. In the next article, you'll see a brief review of dependency injection in C#.


Home - SOLID
Single Resposibility Principle
Single Resposibility Principle
(see: http://code.tutsplus.com/tutorials/solid-part-1-the-single-responsibility-principle--net-36074)
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Each individual pixel symbolically displays a member of the trade union.
The pixel structure appeals to the building architecture, denoting the strength of the structure.
Combination of pixels is associated with national Belarusian ornaments.
Also a white cross is inscribed in the logo as a symbol of help and support.


This pie chart displays the distribution of each video category found within the trending section as a percentage. Each section of the pie represents a proportion to the total number of videos within the trending section during the 4 month period we pulled our data from.
When hovering over a specific section of the graph you are provided with the category name, the number of videos that fall under that specific category from our data, and the percentage of the whole rounded to two decimal places that represents how frequent a particular category makes it into the trending section. We created this chart to get an idea of what types of videos make it onto YouTube's trending section more frequently than others. The default behavior of this graph defaults to pulling data from the entirety of dataset. If you select a month from the dropdown menu on the right you can filter by months from August 2020 to November 2020.
From looking at the graph, it is clear to see that the majority of videos that make it into the trending section are Music, Entertainment, and Sports, with the combination of the three making up over 50% of the fifteen unique categories that were found in our data. An interesting bit of information that we found was that YouTube has more than just 15 unique categories, but the trending section seems to group several categories into a main category to be used in their trending section.


An implementation of a Machine Learning Framework for prediction of new drugs Side Effects. Firstly drugs are clustered with respect to their features description and secondly predictions are made, according to Bayesian scores. Moreover it can perform protein enrichment considering the proteins clustered together in the first step of the algorithm. This last tool is of extreme interest for biologist and drug discovery purposes, given the fact that it can be used either as a validation of the clusters obtained, as well as for the possible discovery of new interactions between certain side effects and non targeted pathways. Clustering of the drugs in the feature space can be done using K-Means, PAM or K-Seeds (a novel clustering algorithm proposed by the author).
| Version: | 0.2 |
| Imports: | ROCR, MESS, cclust, cluster, e1071, utils, base |
| Published: | 2016-04-23 |
| Author: | Giovanna Maria Dimitri |
| Maintainer: | Giovanna Maria Dimitri <gmd43 at cam.ac.uk> |
| License: | GPL-2 |
| NeedsCompilation: | no |
| CRAN checks: | DrugClust results |
| Reference manual: | DrugClust.pdf |
| Package source: | DrugClust_0.2.tar.gz |
| Windows binaries: | r-devel: DrugClust_0.2.zip, r-release: DrugClust_0.2.zip, r-oldrel: DrugClust_0.2.zip |
| OS X binaries: | r-release: DrugClust_0.2.tgz, r-oldrel: DrugClust_0.2.tgz |
| Old sources: | DrugClust archive |
Please use the canonical form https://CRAN.R-project.org/package=DrugClust to link to this page.


A semipublic notebook of voracious reading, research, observations, notes, comments, contemplations, cogitation, sarcasm, derision, cats. A vivid verbal vortex of vim, vigor, and vituperation. A miasma of oft-curmudgeonly missives originating from a third-rate civilisation mired somewhere in a sleepy backwater spiral arm of just another galaxy.
If you've read (and grokked) the late Iain M. Banks's Culture novels, you get it.
My name is Derf, I'm a Software Developer originally from east of Buffalo NY, but living in Hellsinki.


{% extends "base.html" %} {% load i18n %} {% block page_title %}
{% if login_via_ldap %} {% trans "You don't have any data center assigned, please contact your administrator to finish your initialization." %} {% else %} {% trans "You don't have any data center assigned, maybe an error happened during your initialization, please contact your administrator to fix it." %} {% endif %}
{% endblock %} {% block page_script %} {% endblock %}


{% extends "layout_task-list.html" %} {% block page_title %} Money Claims Prototype {% endblock %} {% block home_link %} ../task-list {% endblock %} {% block content %} {% include "includes/phase_banner_beta.html" %} Make a money claim Completing your claim {{formData | safe}} Claim details Completing your claim In this section you can: provide a time line of events that led up to your claim list any evidence you may have describe your claim in detail and also how its affected you personally {% endblock %}


Down below are four different crystals. Each have a different unknown value that you have to use to match the number given to you. If you can correctly match my number you win! If not you lose. How far will you go?


JavaScript is a programming language that fully supports web development. It gives developers the ability to create complex interfaces with ease. It is used all over the web. Thousands of technologies, frameworks, and tools have been built using JavaScript
JavaScript's biggest advantage is probably its speed. Because it is a client-side application, it doesn't need to contact a server and wait for a response in order to run. This also reduces the server load.
Another advantage is JavaScript's simplicity. It is relatively easy to learn and implement. It uses a syntax that is similar to English.
JavaScript is versatile. It works well with other languages, can be worked into any type of web page, and can be used in a variety of applications.
The biggest downfall of JavaScript is its lack of security. Because code is executed on a user's computer, people with less than honorable intentions can easily compromise it.
Another disadvantage is its unpredictability. It isn't always the same for all users. It can render differently depending on different browsers. This can negatively affect user experience on a website.
Fans believe that JavaScript is poised to take over the programming world. JavaScript critics believe that it is sure to reach its demise in the not so distant future. Whatever your opinion is about JavaScript, you cannot ignore its popularity in the world of web development. It is an incredibly useful language with a myriad of applications for web developers of all types. After nearly 20 years, it is still quite relevant.


The Faculty of Medicine, University of Colombo
The Faculty of Medicine, University of Colombo, Sri Lanka, established in 1870 and considered the undisputed matriarch of medical education in Sri Lanka has been a leader in medical training and research not only in this country but also in Asia.
Elevator Opening Ceremony
Inauguration Ceremony & Commencement Lecturer - AL 2016 Batch
Annual Research Symposium of the Faculty of Medicine 2017
"The Annual Research Symposium of the Faculty of Medicine, titled “Research for Development: Promoting Innovation to Drive Health Care” was successfully held on 28th November 2017 at the Faculty of Medicine, Colombo."
Overall Championship of the 15th International Inter-Medical School Physiology Quiz
Our team wins the overall championship of the prestigious 15th International Inter-medical school Physiology Quiz held in the University of Malaya, Kuala Lumpur, Malaysia on 16-17 August 2017! We are proud of our winning team from the AL/2013 batch who competed against 104 teams to secure the first place.
Bak Maha Ulela 2017
CVCD Excellence Award – 2016
Professor Senaka Rajapakse, Professor of Department of Clinical Medicine, Faculty of Medicine, University of Colombo was awarded the CVCD Excellence Award – 2016, for the Most Outstanding Senior Researcher in Health Sciences, including Medicine, Dental Science, Veterinary Science and other Allied Sciences and Professor D.U.J. Sonnadara, Senior Professor and Chair of Department of Physics, Faculty of Science, University of Colombo was awarded the CVCD Excellence Award – 2016, for the Most Outstanding Senior Researcher in the field of Physical Sciences.
Inaugural Book Launch - Colombo Medical Faculty Publishers
Welcome to the Faculty Of Medicine
The Faculty of Medicine, University of Colombo, Sri Lanka, established in 1870 and considered the undisputed matriarch of medical education in Sri Lanka has been a leader in medical training and research not only in this country but also in Asia. Our teaching faculty in Colombo is comprised of some of the most accomplished, ambitious and dedicated scientists and medical professionals in Asia. Students always strive to grow and evolve and our faculty does provide them an innovative learning environment that imparts the refined skills of how to be compassionate and caring. This faculty is in the forefront of medical education and has central to its mission, a curriculum that melds the study of basic science, pathophysiology and mechanisms of disease and the clinical practice of medicine into a cohesive programme of learning.


A shot describes the way the camera should frame a scene. A shot is composed by a number of properties and actors. Shots can be created and edited in the unity editor an ia code. Shots created in the editor should be stored in the "Resources" folder so they can be loaded in the game.
More...
Inherits ScriptableObject.
|
| void | FixPropertiesType () |
| | Fixs the properties type afte deserialisation; More...
|
| |
| float | GetQuality (Actor[] actors, Camera camera=null) |
| | Return the quality of a specific camera setting with respect to the curren shot and the given subject evaluators. The quality is calculated as a wighted sum of the properties level of satisfaction. Visibility of each subject is also considered in the total quality. More...
|
| |
| float | GetQuality (Property.Type[] pTypes, Actor[] actors, Camera camera=null) |
| | Return the quality of a specific camera setting with respect to the specified properties and the given subject evaluators More...
|
| |
| float | Visibility (Actor[] subjects, Camera camera=null) |
| | Returns the level of visibility of the subject given a specific camera camera. Visibility is intended as the fraction of the subjects which is included in the frame ans is not occluded by any obstacle. More...
|
| |
| float | InFrustum (Actor[] actors, Camera camera=null) |
| | Returns the fraction of the subjects that are included in the view frustum given a specific camera camera. More...
|
| |
| T | GetProperty< T > (int subjectIndex=0) |
| | Returns a property defined on a spcific subject More...
|
| |
|
| bool | LockX = false |
| | Defines whether the camera should moove or not along the X axis. If true, the camera should not move. More...
|
| |
| bool | LockY = false |
| | Defines whether the camera should moove or not along the Y axis. If true, the camera should not move. More...
|
| |
| bool | LockZ =false |
| | Defines whether the camera should moove or not along the X axis. If true, the camera should not move. More...
|
| |
| List< Vector3 > | VolumesOfInterestPosition = new List<Vector3> () |
| | Offset of each subject evaluator. More...
|
| |
| List< Vector3 > | VolumesOfInterestSize = new List<Vector3> () |
| | Scale modifier of each subject evaluator. More...
|
| |
| List< Property > | Properties = new List<Property> () |
| | Properties composing the shot. More...
|
| |
A shot describes the way the camera should frame a scene. A shot is composed by a number of properties and actors. Shots can be created and edited in the unity editor an ia code. Shots created in the editor should be stored in the "Resources" folder so they can be loaded in the game.
| void Shot.FixPropertiesType |
( |
| ) |
|
Fixs the properties type afte deserialisation;
| T Shot.GetProperty< T > |
( |
int |
subjectIndex = 0 | ) |
|
Returns a property defined on a spcific subject
- Returns
- The property.
- Parameters
-
| subjectIndex | Index of the subject; the default value is 0. |
- Template Parameters
-
| T | The type of the property. |
| float Shot.GetQuality |
( |
Actor[] |
actors, |
|
|
Camera |
camera = null |
|
) |
| |
Return the quality of a specific camera setting with respect to the curren shot and the given subject evaluators. The quality is calculated as a wighted sum of the properties level of satisfaction. Visibility of each subject is also considered in the total quality.
- Returns
- [0,1] The quality value; the higher the better.
- Parameters
-
| actors | A list of actors. |
| camera | The camera to be evaluated. If the camera is not passed as a parameter, no evaluation is performed and the last recorded quality is passed. |
Return the quality of a specific camera setting with respect to the specified properties and the given subject evaluators
- Returns
- [0,1] The quality value; the higher the better.
- Parameters
-
| pTypes | A list of properties. |
| actors | A list of subject evaluators. |
| camera | The camera to be evaluated. If the camera is not passed as a parameter, no evaluation is performed and the last recorded quality is passed. |
| float Shot.InFrustum |
( |
Actor[] |
actors, |
|
|
Camera |
camera = null |
|
) |
| |
Returns the fraction of the subjects that are included in the view frustum given a specific camera camera.
- Parameters
-
| actors | List of subjects. |
| camera | The camera to be used for evaluation. If the camera is not passed as a parameter, no evaluation is performed and the last recorded fraction is passed. |
| float Shot.Visibility |
( |
Actor[] |
subjects, |
|
|
Camera |
camera = null |
|
) |
| |
Returns the level of visibility of the subject given a specific camera camera. Visibility is intended as the fraction of the subjects which is included in the frame ans is not occluded by any obstacle.
- Parameters
-
| actors | List of subjects. |
| camera | The camera to be used for evaluation. If the camera is not passed as a parameter, no evaluation is performed and the last recorded visibility is passed. |
Defines whether the camera should moove or not along the X axis. If true, the camera should not move.
Defines whether the camera should moove or not along the Y axis. If true, the camera should not move.
Defines whether the camera should moove or not along the X axis. If true, the camera should not move.
Properties composing the shot.
| List<Vector3> Shot.VolumesOfInterestPosition = new List<Vector3> () |
Offset of each subject evaluator.
| List<Vector3> Shot.VolumesOfInterestSize = new List<Vector3> () |
Scale modifier of each subject evaluator.
Gets or sets the number of subjects in the shot.
The number of subjects.
The documentation for this class was generated from the following file:


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E. Hawaii Research Center for Futures Study
[§304A-3251] Center established. There is hereby established a Hawaii research center for futures study. The center is assigned to the university for administrative purposes. [L 2006, c 75, pt of §2]