{PLATFORM_NAME}
Usage statistics for
{PERIOD}
{USER_NAME}
{COMPUTE_HOURS}
{RUNS_COUNT}
Compute hours
Runs count
{LOGIN_TIME}
{USAGE_WEIGHT}
Login time
Usage weight
Compute type
CPU
{CPU}
GPU
{GPU}
Clusters
Compute
{COMPUTE}
Worker nodes
{WORKER_NODES}
Storage usage
Read requests
{READ_REQUESTS}
Write requests
{WRITE_REQUESTS}
{TABLE}


1961
The first industrial robot, Unimate, starts working on an assembly line in a General Motors plant in New Jersey.
The history of Artificial Intelligence (AI) began in antiquity, with myths, stories and rumors of artificial beings endowed with intelligence or consciousness by master craftsmen. The seeds of modern AI were planted by classical philosophers who attempted to describe the process of human thinking as the mechanical manipulation of symbols. This work culminated in the invention of the programmable digital computer in the 1940s, a machine based on the abstract essence of mathematical reasoning. This device and the ideas behind it inspired a handful of scientists to begin seriously discussing the possibility of building an electronic brain.
Investment and interest in AI boomed in the first decades of the 21st century, when machine learning was successfully applied to many problems in academia and industry due to new methods, the application of powerful computer hardware, and the collection of immense data sets.
Ray Solomonoff was the inventor of algorithmic probability, his General Theory of Inductive Inference (also known as Universal Inductive Inference) and was a founder of algorithmic information theory. He was an originator of the branch of artificial intelligence based on machine learning, prediction and probability.
The first industrial robot, Unimate, starts working on an assembly line in a General Motors plant in New Jersey.
Shakey the robot is the first general-purpose mobile robot to be able to reason about its own actions. In a Life magazine 1970 article about this “first electronic person,” Marvin Minsky is quoted saying with “certitude”: “In from three to eight years we will have a machine with the general intelligence of an average human being.”
The film 2001: Space Odyssey is released, featuring Hal, a sentient computer.
The first anthropomorphic robot, the WABOT-1, is built at Waseda University in Japan. It consisted of a limb-control system, a vision system and a conversation system.
MYCIN, an early expert system for identifying bacteria causing severe infections and recommending antibiotics, is developed at Stanford University.
James Lighthill reports to the British Science Research Council on the state artificial intelligence research, concluding that "in no part of the field have discoveries made so far produced the major impact that was then promised," leading to drastically reduced government support for AI research.
Computer scientist Raj Reddy publishes “Speech Recognition by Machine: A Review” in the Proceedings of the IEEE, summarizing the early work on Natural Language Processing (NLP).
The Stanford Cart successfully crosses a chair-filled room without human intervention in about five hours, becoming one of the earliest examples of an autonomous vehicle.
Wabot-2 is built at Waseda University in Japan, a musician humanoid robot able to communicate with a person, read a musical score and play tunes of average difficulty on an electronic organ.
Electric Dreams is released, a film about a love triangle between a man, a woman and a personal computer.
First driverless car, a Mercedes-Benz van equipped with cameras and sensors, built at Bundeswehr University in Munich under the direction of Ernst Dickmanns, drives up to 55 mph on empty streets.
Rollo Carpenter develops the chat-bot Jabberwacky to "simulate natural human chat in an interesting, entertaining and humorous manner." It is an early attempt at creating artificial intelligence through human interaction.
Rodney Brooks publishes “Elephants Don’t Play Chess,” proposing a new approach to AI—building intelligent systems, specifically robots, from the ground up and on the basis of ongoing physical interaction with the environment: “The world is its own best model… The trick is to sense it appropriately and often enough.”
Richard Wallace develops the chatbot A.L.I.C.E (Artificial Linguistic Internet Computer Entity), inspired by Joseph Weizenbaum's ELIZA program, but with the addition of natural language sample data collection on an unprecedented scale, enabled by the advent of the Web.
Deep Blue becomes the first computer chess-playing program to beat a reigning world chess champion.
Dave Hampton and Caleb Chung create Furby, the first domestic or pet robot.
AIBO Sony launches first consumer robot pet dog AiBO (AI robot) with skills and personality that develop over time
MIT’s Cynthia Breazeal develops Kismet, a robot that could recognize and simulate emotions.
A.I. Artificial Intelligence is released, a Steven Spielberg film about David, a childlike android uniquely programmed with the ability to love.
ROOMBA First mass produced autonomous robotic vacuum cleaner from iRobot learns to navigate and clean homes.
The first DARPA Grand Challenge, a prize competition for autonomous vehicles, is held in the Mojave Desert. None of the autonomous vehicles finished the 150-mile route.
Google starts developing, in secret, a driverless car. In 2014, it became the first to pass, in Nevada, a U.S. state self-driving test.
Microsoft launched Kinect for Xbox 360, the first gaming device to track human body movement, using just a 3D camera and infra-red detection, enabling users to play their Xbox 360 wirelessly. The award-winning machine learning for human motion capture technology for this device was developed by the Computer Vision group at Microsoft Research, Cambridge.
Apple announces voice activated Siri. A smartphone app that uses natural language to answer questions, make recommendations and perform actions.
Alexa is a voice associated with the Amazon Echo that will respond to questions and requests through artificial intelligence.
Google DeepMind's AlphaGo defeated Lee Sedol 4–1. Lee Sedol is a 9 dan professional Korean Go champion who won 27 major tournaments from 2002 to 2016. Before the match with AlphaGo, Lee Sedol was confident in predicting an easy 5–0 or 4–1 victory.
The United States Special Operations Command put forward the idea of the TALOS (Tactical Asault Light Operator Suit), a robotic exoskeleton to augment the soldier’s senses.
Erica, a Robot becomes a news anchor in Japan.


Category Specialist at Walmart eCommerce
Drive both sales and gross profit for multiple categories across three e-commerce platforms (Walmart.com, Hayneedle.com, and Jet.com)
Analyze consumer traffic data and trends to optimize on-site experiences and site navigation, product content, and product attributes to ensure the most intuitive customer experience
Collaborate on omni-channel marketing efforts between stores and e-commerce to manage margin and maximize the return on inventory investment to achieve global plans
Develop strong business relationships with vendors and industry leaders to offer customers a diverse portfolio of products while optimizing vendor funded site promotions, marketing spend, product engagement, and conversion
Marketing - Project Management - Event Planning - Customer Service - Management - Strategic Planning
Microsoft Office Suite - Tableau - Omniture - Photoshop - Social Media - Photography
See more on my LinkedIn


Report: Another NFL Team Has Interest In Hiring Jason Garrett
by Andrew HolleranJason Garrett could be coaching in the NFC East in 2020 even if he’s fired by the Dallas Cowboys following the season. That’s what the latest report from NFL Network insider Ian Rapoport suggests, anyway.
Garrett remains the Cowboys’ head coach and Jerry Jones would prefer to keep it that way. But Dallas, which leads the NFC East, might need to make a deep playoff run in order for that to happen. Garrett is in the final year of his contract.
Another NFC East team would reportedly be interested in hiring Garrett if he gets fired in Dallas, though.
The New York Giants might be the frontrunner to hire Garrett this offseason, assuming he’s fired by the Cowboys (and Pat Shurmur is let go in New York).
“My understanding is the Giants have emerged as a real and legitimate potential landing spot for Garrett,” Rapoport said this morning. “First of all, it is his preferred destination if he can’t stick with the Cowboys. Second, back in 2014, the Giants were trying to decide, should they fire Tom Coughlin. My understanding is they would have fired Coughlin if they could get Jason Garrett. Instead, he signed an extension, the Giants kept Coughlin. We’ll keep watching this one.”
A Cowboys-Giants game in 2020 with Jason Garrett as the head coach in New York would be fascinating to watch.
For now, though, Dallas remains focused on a playoff push. The Cowboys will take on the Patriots in New England this afternoon.
Kickoff is set for 4:25 p.m. E.T. on FOX.


Software
The Ovm Java Virtual Machine framework is open source.
Releases:
Ovm-v.1.4 (September, 2009)
Includes Minuteman RTGC framework which allows to select from newly supported RTGC features: time-based scheduling (periodic, slack, and hybrid - a combination of both), incremental stack scanning, replication or Brooks barrier, incremental object copy, arraylets, memory usage, and GC pause profiling and tracing. Includes also many bugfixes allowing to run most of the Dacapo benchmarks, the pseudo-JBB benchmark, and the new version of the Collision detector benchmark. Sample scripts to build and run with these benchmarks are available here and here.
Ovm-v.1.3 (June, 2008)
Supports hardware interrupt handling in Xenomai/Linux, both as RTSJ events and using non-RTSJ API. Supports access to I/O ports on Linux/x86 via hardware objects. Has software image barrier (easier to debug, more predictable performance overhead). Uses green threads.
Ovm-v.1.2.2 (May, 2008)
Supports native scheduling using pthreads, and thus supports SMP.
Ovm-v.1.2.1 (February, 2008)
Supports plain C code generation, including a C implementation of Java exceptions. Has software null-pointer checks. The precise GC that support lazy pointer stacks is ported to the C implementation of Java exceptions (but still requires C++).
Ovm-v.1.2 (January, 2008)
Ovm-v.1.01 (February 10, 2006)


From: Carl Eblon Tel: 27-83-689-6084 Email<EMAIL_ADDRESS>Dear Friend, Naturally this mail will come to you as a surprise, but if I may crave your indulgence, I'm MR. Carl Eblon, the first son of Dodi Martins Eblon, the most popular black farmer in Zimbabwe who was recently murdered in the land dispute in my country.  I am contacting you, as the need to for me to have a foreign partner in your country has become necessary due to my plans to relocate and establish a private company in that region, as the present political instability in my country Zimbabwe, does not encourage financial investment as the environment is not conducive for investment and most of all security is not insured,just as reported by international media. This land problem came when Zimbabwean President Mr. Robert Mugabe introduced a new Land Act Reform wholly affected the rich white farmers and some few black farmers. This resulted to the killing and mob action by Zimbabwean war veterans and some lunatics in the society. Infact a lot of people were killed because of this Land reform Act for which my father was one of the victims. This was after the leadership of president Robert Mugabe announced a degree on May 31st 2000 to seize more than 849 white-owned farms and 104 Black owned farms (the white associates who are against the government which includes my father and some of his friends). So far, more than 1,400 white and black owned farms have been invaded and confiscated, as well as claiming the properties of the farmers. During these periods, as reported by international media, more than 8 white and 4 black farmers were killed, the government is not stopping at this, as just recently the government have asked all white-farmers to give up their farms to black farmers or risk going to prison. Before the death of my father, he deposited the sum of US6.5 Million (Six Million, Five Hundred United States dollars) in one of the private security company, as he foresaw the looming danger in Zimbabwe. This money was deposited in a box as gemstones and photographic materials to avoid much demurrage from Security Company. This amount was meant for the purchase of new machines and chemicals for the Farms and establishment of new farms in Swaziland. It is against this background that, my family and I fled Zimbabwe for fear of our lives and are currently staying in South Africa where we are seeking political asylum and more so have decided to transfer my father's money to a more reliable foreign account. as the eldest son of my father, I am saddled with the responsibility of seeking a genuine foreign account where this money could be transferred without the knowledge of my government who are bent on taking everything we have got. As a businessman, I am seeking for a partner who I have to entrust my future and that of my family in his hands, I must let you know that this transaction is risk free. If you accept to assist me and my family, all I want you to do for me, is to make arrangements with the security company to clear the consignment (funds). But before then all modalities will have to be put in place. I have two options for you. Firstly you can choose to have certain percentage of the money for nominating your account for this transaction. Or you can go into partnership with me for the proper profitable investment of the money in your country. Whichever the option you want,feel free to notify me. I have also mapped out 5% of this money for all kinds of expenses incurred in the process of this transaction. If you do not prefer a partnership I am willing to give you 15% of the money while the remaining 80% will be for my investment in your country. I implore you to maintain the absolute secrecy required in this transaction. Thanks, GOD BLESS YOU Best Regards CARL EBLON MARTINS FARMS ZIMBABWE


Modules¶
Modules in Julia are separate variable workspaces, i.e. they introduce
a new global scope. They are delimited syntactically, inside module
Name ... end
. Modules allow you to create top-level definitions (aka
global variables) without worrying about name conflicts when your code
is used together with somebody else’s. Within a module, you can
control which names from other modules are visible (via importing),
and specify which of your names are intended to be public (via
exporting).
The following example demonstrates the major features of modules. It is not meant to be run, but is shown for illustrative purposes:
module MyModule
using Lib
using BigLib: thing1, thing2
import Base.show
importall OtherLib
export MyType, foo
type MyType
x
end
bar(x) = 2x
foo(a::MyType) = bar(a.x) + 1
show(io::IO, a::MyType) = print(io, "MyType $(a.x)")
end
Note that the style is not to indent the body of the module, since that would typically lead to whole files being indented.
This module defines a type MyType
, and two functions. Function
foo
and type MyType
are exported, and so will be available for
importing into other modules. Function bar
is private to
MyModule
.
The statement using Lib
means that a module called Lib
will be
available for resolving names as needed. When a global variable is
encountered that has no definition in the current module, the system
will search for it among variables exported by Lib
and import it if
it is found there.
This means that all uses of that global within the current module will
resolve to the definition of that variable in Lib
.
The statement using BigLib: thing1, thing2
is a syntactic shortcut for
using BigLib.thing1, BigLib.thing2
.
The import
keyword supports all the same syntax as using
, but only
operates on a single name at a time. It does not add modules to be searched
the way using
does. import
also differs from using
in that
functions must be imported using import
to be extended with new methods.
In MyModule
above we wanted to add a method to the standard show
function, so we had to write import Base.show
.
Functions whose names are only visible via using
cannot be extended.
The keyword importall
explicitly imports all names exported by the
specified module, as if import
were individually used on all of them.
Once a variable is made visible via using
or import
, a module may
not create its own variable with the same name.
Imported variables are read-only; assigning to a global variable always
affects a variable owned by the current module, or else raises an error.
Summary of module usage¶
To load a module, two main keywords can be used: using
and import
. To understand their differences, consider the following example:
module MyModule
export x, y
x() = "x"
y() = "y"
p() = "p"
end
In this module we export the x
and y
functions (with the keyword export
), and also have the non-exported function p
. There are several different ways to load the Module and its inner functions into the current workspace:
| Import Command | What is brought into scope | Available for method extension |
|---|---|---|
using MyModule |
All export ed names (x and y ), MyModule.x , MyModule.y and MyModule.p |
MyModule.x , MyModule.y and MyModule.p |
using MyModule.x, MyModule.p |
x and p |
|
using MyModule: x, p |
x and p |
|
import MyModule |
MyModule.x , MyModule.y and MyModule.p |
MyModule.x , MyModule.y and MyModule.p |
import MyModule.x, MyModule.p |
x and p |
x and p |
import MyModule: x, p |
x and p |
x and p |
importall MyModule |
All export ed names (x and y ) |
x and y |
Modules and files¶
Files and file names are mostly unrelated to modules; modules are associated only with module expressions. One can have multiple files per module, and multiple modules per file:
module Foo
include("file1.jl")
include("file2.jl")
end
Including the same code in different modules provides mixin-like behavior. One could use this to run the same code with different base definitions, for example testing code by running it with “safe” versions of some operators:
module Normal
include("mycode.jl")
end
module Testing
include("safe_operators.jl")
include("mycode.jl")
end
Standard modules¶
There are three important standard modules: Main, Core, and Base.
Main is the top-level module, and Julia starts with Main set as the
current module. Variables defined at the prompt go in Main, and
whos()
lists variables in Main.
Core contains all identifiers considered “built in” to the language, i.e.
part of the core language and not libraries. Every module implicitly
specifies using Core
, since you can’t do anything without those
definitions.
Base is the standard library (the contents of base/). All modules implicitly
contain using Base
, since this is needed in the vast majority of cases.
Default top-level definitions and bare modules¶
In addition to using Base
, modules also automatically contain a definition
of the eval
function, which evaluates expressions within the context of that module.
If these default definitions are not wanted, modules can be defined using the
keyword baremodule
instead (note: Core
is still imported, as per above).
In terms of baremodule
, a standard module
looks like this:
baremodule Mod
using Base
eval(x) = Core.eval(Mod, x)
eval(m,x) = Core.eval(m, x)
...
end
Relative and absolute module paths¶
Given the statement using Foo
, the system looks for Foo
within Main
. If the module does not exist, the system
attempts to require("Foo")
, which typically results in loading
code from an installed package.
However, some modules contain submodules, which means you sometimes
need to access a module that is not directly available in Main
.
There are two ways to do this. The first is to use an absolute path,
for example using Base.Sort
. The second is to use a relative path,
which makes it easier to import submodules of the current module or
any of its enclosing modules:
module Parent
module Utils
...
end
using .Utils
...
end
Here module Parent
contains a submodule Utils
, and code in
Parent
wants the contents of Utils
to be visible. This is
done by starting the using
path with a period. Adding more leading
periods moves up additional levels in the module hierarchy. For example
using ..Utils
would look for Utils
in Parent
‘s enclosing
module rather than in Parent
itself.
Note that relative-import qualifiers are only valid in using
and
import
statements.
Module file paths¶
The global variable LOAD_PATH contains the directories Julia searches for
modules when calling require
. It can be extended using push!
:
push!(LOAD_PATH, "/Path/To/My/Module/")
Putting this statement in the file ~/.juliarc.jl
will extend LOAD_PATH
on every Julia startup. Alternatively, the module load path can be
extended by defining the environment variable JULIA_LOAD_PATH.
Namespace miscellanea¶
If a name is qualified (e.g. Base.sin
), then it can be accessed even if
it is not exported. This is often useful when debugging.
Macro names are written with @
in import and export statements, e.g.
import Mod.@mac
. Macros in other modules can be invoked as Mod.@mac
or @Mod.mac
.
The syntax M.x = y
does not work to assign a global in another module;
global assignment is always module-local.
A variable can be “reserved” for the current module without assigning to
it by declaring it as global x
at the top level. This can be used to
prevent name conflicts for globals initialized after load time.
Module initialization and precompilation¶
Large modules can take several seconds to load because executing all of the statements in a module often involves compiling a large amount of code. Julia provides the ability to create precompiled versions of modules to reduce this time.
There are two mechanisms that can achieve this: incremental compile and custom system image.
To create a custom system image that can be used when starting Julia with the -J
option,
recompile Julia after modifying the file base/userimg.jl
to require the desired modules.
To create an incremental precompiled module file, add
__precompile__()
at the top of your module file (before the
module
starts). This will cause it to be automatically compiled
the first time it is imported. Alternatively, you can manually call
Base.compilecache(modulename)
. The resulting cache files will be
stored in Base.LOAD_CACHE_PATH[1]
. Subsequently, the module is
automatically recompiled upon import
whenever any of its
dependencies change; dependencies are modules it imports, the Julia
build, files it includes, or explicit dependencies declared by
include_dependency(path)
in the module file(s). Precompiling a
module also recursively precompiles any modules that are imported
therein. If you know that it is not safe to precompile your module
(for the reasons described below), you should put
__precompile__(false)
in the module file to cause Base.compilecache
to
throw an error (and thereby prevent the module from being imported by
any other precompiled module).
__precompile__()
should not be used in a module unless all of its
dependencies are also using __precompile__()
. Failure to do so can result
in a runtime error when loading the module.
In order to make your module work with precompilation,
however, you may need to change your module to explicitly separate any
initialization steps that must occur at runtime from steps that can
occur at compile time. For this purpose, Julia allows you to define
an __init__()
function in your module that executes any
initialization steps that must occur at runtime.
In particular, if you define a function __init__()
in a module,
then Julia will call __init__()
immediately after the module is
loaded (e.g., by import
, using
, or require
) at runtime for
the first time (i.e., __init__
is only called once, and only
after all statements in the module have been executed). Because it is
called after the module is fully imported, any submodules or other
imported modules have their __init__
functions called before the
__init__
of the enclosing module.
Two typical uses of __init__
are calling runtime initialization
functions of external C libraries and initializing global constants
that involve pointers returned by external libraries. For example,
suppose that we are calling a C library libfoo
that requires us
to call a foo_init()
initialization function at runtime. Suppose
that we also want to define a global constant foo_data_ptr
that
holds the return value of a void *foo_data()
function defined by
libfoo
— this constant must be initialized at runtime (not at compile
time) because the pointer address will change from run to run. You
could accomplish this by defining the following __init__
function
in your module:
function __init__()
ccall((:foo_init,:libfoo), Void, ())
global const foo_data_ptr = ccall((:foo_data,:libfoo), Ptr{Void}, ())
end
Notice that it is perfectly possible to define a global inside
a function like __init__
; this is one of the advantages of using a
dynamic language.
Obviously, any other globals in your module that depends on foo_data_ptr
would also have to be initialized in __init__
.
Constants involving most Julia objects that are not produced by
ccall
do not need to be placed in __init__
: their definitions
can be precompiled and loaded from the cached module image.
This includes complicated heap-allocated objects like arrays.
However, any routine that returns a raw pointer value must be called
at runtime for precompilation to work
(Ptr objects will turn into null pointers unless they are hidden inside an isbits object).
This includes the return values of the Julia functions cfunction
and pointer
.
Dictionary and set types, or in general anything that depends on the
output of a hash(key)
method, are a trickier case. In the common
case where the keys are numbers, strings, symbols, ranges, Expr
,
or compositions of these types (via arrays, tuples, sets, pairs, etc.)
they are safe to precompile. However, for a few other key types, such
as Function
or DataType
and generic user-defined types where
you haven’t defined a hash
method, the fallback hash
method
depends on the memory address of the object (via its object_id
)
and hence may change from run to run.
If you have one of these key types, or if you aren’t sure,
to be safe you can initialize this dictionary from within your
__init__
function.
Alternatively, you can use the ObjectIdDict
dictionary type,
which is specially handled by precompilation so that it is safe to
initialize at compile-time.
When using precompilation, it is important to keep a clear sense of the distinction between the compilation phase and the execution phase. In this mode, it will often be much more clearly apparent that Julia is a compiler which allows execution of arbitrary Julia code, not a standalone interpreter that also generates compiled code.
Other known potential failure scenarios include:
Global counters (for example, for attempting to uniquely identify objects) Consider the following code snippet:
type UniquedById myid::Int let counter = 0 UniquedById() = new(counter += 1) end end
while the intent of this code was to give every instance a unique id, the counter value is recorded at the end of compilation. All subsequent usages of this incrementally compiled module will start from that same counter value.
Note that
object_id
(which works by hashing the memory pointer) has similar issues (see notes on Dict usage below).One alternative is to store both
current_module()
and the currentcounter
value, however, it may be better to redesign the code to not depend on this global state.Associative collections (such as
Dict
andSet
) need to be re-hashed in__init__
. (In the future, a mechanism may be provided to register an initializer function.)Depending on compile-time side-effects persisting through load-time. Example include: modifying arrays or other variables in other Julia modules; maintaining handles to open files or devices; storing pointers to other system resources (including memory);
Creating accidental “copies” of global state from another module, by referencing it directly instead of via its lookup path. For example, (in global scope):
#mystdout = Base.STDOUT #= will not work correctly, since this will copy Base.STDOUT into this module =# # instead use accessor functions: getstdout() = Base.STDOUT #= best option =# # or move the assignment into the runtime: __init__() = global mystdout = Base.STDOUT #= also works =#
Several additional restrictions are placed on the operations that can be done while precompiling code to help the user avoid other wrong-behavior situations:
- Calling
eval
to cause a side-effect in another module. This will also cause a warning to be emitted when the incremental precompile flag is set. global const
statements from local scope after__init__()
has been started (see issue #12010 for plans to add an error for this)- Replacing a module (or calling
workspace()
) is a runtime error while doing an incremental precompile.
A few other points to be aware of:
- No code reload / cache invalidation is performed after changes are made to the source files themselves,
(including by
Pkg.update
), and no cleanup is done afterPkg.rm
- The memory sharing behavior of a reshaped array is disregarded by precompilation (each view gets its own copy)
- Expecting the filesystem to be unchanged between compile-time and runtime
e.g.
@__FILE__
/source_path()
to find resources at runtime, or the BinDeps@checked_lib
macro. Sometimes this is unavoidable. However, when possible, it can be good practice to copy resources into the module at compile-time so they won’t need to be found at runtime. - WeakRef objects and finalizers are not currently handled properly by the serializer (this will be fixed in an upcoming release).
It is sometimes helpful during module development to turn off incremental precompilation.

When Julia is started with --compilecache=no
the serialized modules in the compile cache are ignored when loading modules and module dependencies.
Base.compilecache()
can still be called manually and it will respect __precompile__()
directives for the module.
The state of this command line flag is passed to Pkg.build()
to disable automatic precompilation triggering when installing, updating, and explicitly building packages.


@import gospeak.core.domain.{Group, User, UserRequest} @import gospeak.core.domain.utils.Constants @import gospeak.web.domain.Breadcrumb @import gospeak.web.pages.partials.form.html.formBtn @import gospeak.web.pages.user.partials.html.container @import gospeak.web.pages.user.routes.UserCtrl @import gospeak.web.utils._ @(invite: UserRequest.GroupInvite, group: Group, orga: User)(b: Breadcrumb)(implicit req: UserReq[AnyContent]) @container(s"Invitation for ${group.name.value} group", b, hideAlert = true)() { @if(invite.isPending(req.now)) {
If it is strange, please contact the person who invited you (@orga.name.value) to check if everything is alright and inform the Gospeak team
Go to home page } }()


| 003:176 Khan | : |
And let not those grieve you (O Muhammad SAW) who rush with haste to disbelieve; verily, not the least harm will they do to Allah. It is Allah's Will to give them no portion in the Hereafter. For them there is a great torment. |
| 003:176 Maulana | : |
And let not those grieve thee who run into disbelief precipitately; surely they can do no harm to Allah. Allah intends not to assign them any portion in the Hereafter; and for them is a grievous chastisement. |
| 003:176 Pickthal | : |
Let not their conduct grieve thee, who run easily to disbelief, for lo! they injure Allah not at all. It is Allah's Will to assign them no portion in the Hereafter, and theirs will be an awful doom. |
| 003:176 Rashad | : |
Do not be saddened by those who hasten to disbelieve. They never hurt GOD in the least. Instead, GOD has willed that they will have no share in the Hereafter. They have incurred a terrible retribution. |
| 003:176 Sarwar | : |
(Muhammad), do not be grieved because of some people's haste to disbelieve. They can do no harm to God. God has decided not to give them any share in the life hereafter. There will be a great torment for them. |
| 003:176 Shakir | : |
And let not those grieve you who fall into unbelief hastily; surely they can do no harm to Allah at all; Allah intends that He should not give them any portion in the hereafter, and they shall have a grievous chastisement. |
| 003:176 Sherali | : |
And let not those who hasten to fall into disbelief grieve thee; surely, they cannot harm ALLAH in any way. ALLAH desires not to assign them any portion in the life to come; and they shall have a severe punishment. |
| 003:176 Yusufali | : |
Let not those grieve thee who rush headlong into Unbelief: Not the least harm will they do to Allah: Allah's plan is that He will give them no portion in the Hereafter, but a severe punishment. |
Concepts/Themes Covered: أركان الإسلام > التوحيد > الكافرون > الجاحدون من الكفار Pillars of Islam> Islamic> The Disbelievers> The Deniers of the Disbelievers أركان الإسلام > التوحيد > الكافرون > صفات الكفار Pillars of Islam> Islamic> The Disbelievers> The Characteristics of the Disbelievers أركان الإسلام > (محمد (صلى الله عليه وسلم > تسليته وتثبيته Pillars of Islam> The Blessed Muhammad(PBUH)> Cheering and Consolidating Him
This tool uses eight English parallel translations for the Holy Quran imported from Mr. Clay Smith. You can also visit Qurany Concepts for browsing the Quran themes or topics. If you want to search the Holy Quran for keywords, please visit Qurany Keywords.


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What are Pocket Monsters?
Pokémon is a series of video games developed by Game Freak and published by Nintendo and The Pokémon Company as part of the Pokémon media franchise. Created by Satoshi Tajiri with assistance from Ken Sugimori,the first games released in 1996 in Japan for the Game Boy, and the main series of role-playing video games (RPGs), also referred as the "core series" by their developers


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NVIDIA GeForce RTX 2080 Ti SUPER Ultimate Flagship Graphics Card Rumored To Feature 4608 Cores & 16 Gbps GDDR6 Memory
by Hassan MujtabaNVIDIA may soon be offering their next ultimate flagship graphics card, the GeForce RTX 2080 Ti SUPER. The card has been going through the rumor mill for a while now with a launch reportedly planned for early 2020 and now we have a new rumor which covers its specifications and they are as meaty as you could expect from a flagship NVIDIA GeForce graphics card.
NVIDIA GeForce RTX 2080 Ti SUPER Reportedly Rocks Full TU102 GPU With 4608 CUDA Cores & 16 Gbps GDDR6 Memory
The latest information on the alleged NVIDIA GeForce RTX 2080 Ti SUPER graphics card once again comes from Twitter user kopite7kimi whose previously leaked information for the NVIDIA GeForce RTX SUPER and GeForce GTX 16 series lineup turned out to be accurate. The latest rumor from the user talks about the specifications of the card and what we can expect from the graphics card in terms of performance.

It is stated in the tweet that the NVIDIA GeForce RTX 2080 Ti SUPER will feature 4608 cores and 16 Gbps GDDR6 memory. So let's start with the core configuration, 4608 CUDA Cores mean that the full Turing TU102 GPU would be featured on the RTX 2080 Ti SUPER, offering 576 tensor cores, 72 RT cores, 288 texture units, and 96 ROPs. The existing GeForce RTX 2080 Ti graphics card has a rated clock speed of 1350 MHz (base) and 1635 MHz (OC). It is also based on a cut-down die while the TITAN RTX which uses the full TU102 die, features the same 1350 MHz base clock but a boost clock of 1770 MHz.
We may see the GeForce RTX 2080 Ti SUPER being clocked somewhere around the 1700 MHz range, but whether it would be clocked higher than the TITAN RTX is a decision that NVIDIA would have a hard time making considering that if the clock speed is the same as the TITAN RTX, the only thing that makes the TITAN RTX any good would be its higher memory capacity and if not, then the TITAN RTX would stay at the top of things when comparing reference variants. The RTX 2080 Ti SUPER will get custom treatment with higher clocks but as an out of the box reference solution, the TITAN RTX would still be the fastest consumer (prosumer*) variant of the Turing family.
Coming to the memory specifications, the only thing that is rumored is that 16 Gbps GDDR6 dies would be used on the NVIDIA GeForce RTX 2080 Ti SUPER. There's no mention of the memory bus or the memory capacity which will be featured on the card. Regardless, the memory will be the main differentiating factor for both cards. The TITAN RTX features 24 GB of GDDR6 memory clocked at 14 Gbps along a 384-bit bus.
EKWB – New EK-Quantum Waterblocks for ASUS STRIX Graphics Cards
The RTX 2080 Ti SUPER could go two routes, either 12 GB of GDDR6 memory running along a 384-bit bus at 16 Gbps or 11 GB of GDDR6 memory running alongside a 352-bit bus interface. The latter seems more plausible since the top tier GeForce cards have been featuring cut-down memory buses for a while now, but if 384-bit is to happen, then that would be a super upgrade for sure. The GeForce RTX 2080 SUPER didn't support the full 16 Gbps dies because that would have required a PCB revision which would cost AIBs some extra money, but with a card like the RTX 2080 Ti SUPER, AIBs may be willing to make the necessary upgrades.
NVIDIA GeForce RTX 20 SUPER Lineup Specifications:
| Graphics Card Name | NVIDIA GeForce RTX 2060 | NVIDIA GeForce RTX 2060 SUPER | NVIDIA GeForce RTX 2070 | NVIDIA GeForce RTX 2070 SUPER | NVIDIA GeForce RTX 2080 | NVIDIA GeForce RTX 2080 SUPER | NVIDIA GeForce RTX 2080 Ti |
|---|---|---|---|---|---|---|---|
| GPU Architecture | Turing GPU (TU106) | Turing GPU (TU106) | Turing GPU (TU106) | Turing GPU (TU104) | Turing GPU (TU104) | Turing GPU (TU104) | Turing GPU (TU102) |
| Process | 12nm FNN | 12nm FNN | 12nm FNN | 12nm FNN | 12nm FNN | 12nm FNN | 12nm FNN |
| Die Size | 445mm2 | 445mm2 | 445mm2 | 545mm2 | 545mm2 | 545mm2 | 754mm2 |
| Transistors | 10.6 Billion | 10.6 Billion | 10.6 Billion | 13.6 Billion | 13.6 Billion | 13.6 Billion | 18.6 Billion |
| CUDA Cores | 1920 Cores | 2176 Cores | 2304 Cores | 2560 Cores | 2944 Cores | 3072 Cores | 4352 Cores |
| TMUs/ROPs | 120/48 | 136/64 | 144/64 | 184/64 | 192/64 | 192/64 | 288/96 |
| GigaRays | 5 Giga Rays/s | 6 Giga Rays/s | 6 Giga Rays/s | 7 Giga Rays/s | 8 Giga Rays/s | 8 Giga Rays/s | 10 Giga Rays/s |
| Cache | 4 MB L2 Cache | 4 MB L2 Cache | 4 MB L2 Cache | 4 MB L2 Cache | 4 MB L2 Cache | 4 MB L2 Cache | 6 MB L2 Cache |
| Base Clock | 1365 MHz | 1470 MHz | 1410 MHz | 1605 MHz | 1515 MHz | 1650 MHz | 1350 MHz |
| Boost Clock | 1680 MHz | 1650 MHz | 1620 MHz 1710 MHz OC |
1770 MHz | 1710 MHz 1800 MHz OC |
1815 MHz | 1545 MHz 1635 MHz OC |
| Compute | 6.5 TFLOPs | 7.5 TFLOPs | 7.5 TFLOPs | 9.1 TFLOPs | 10.1 TFLOPs | 11.1 TFLOPs | 13.4 TFLOPs |
| Memory | Up To 6 GB GDDR6 | Up To 8 GB GDDR6 | Up To 8 GB GDDR6 | Up To 8 GB GDDR6 | Up To 8 GB GDDR6 | Up To 8 GB GDDR6 | Up To 11 GB GDDR6 |
| Memory Speed | 14.00 Gbps | 14.00 Gbps | 14.00 Gbps | 14.00 Gbps | 14.00 Gbps | 15.50 Gbps | 14.00 Gbps |
| Memory Interface | 192-bit | 256-bit | 256-bit | 256-bit | 256-bit | 256-bit | 352-bit |
| Memory Bandwidth | 336 GB/s | 448 GB/s | 448 GB/s | 448 GB/s | 448 GB/s | 496 GB/s | 616 GB/s |
| Power Connectors | 8 Pin | 8 Pin | 8 Pin | 8+6 Pin | 8+8 Pin | 8+8 Pin | 8+8 Pin |
| TDP | 160W | 175W | 185W (Founders) 175W (Reference) |
215W | 225W (Founders) 215W (Reference) |
250W | 260W (Founders) 250W (Reference) |
| Starting Price | $349 US | $399 US | $499 US | $499 US | $699 US | $699 US | $999 US |
| Price (Founders Edition) | $349 US | $399 US | $599 US | $499 US | $699 US | $699 US | $1,199 US |
| Launch | January 2019 | July 2019 | October 2018 | July 2019 | September 2018 | July 2019 | September 2018 |
Pricing of the card will be a major consideration for buyers before they go out and buy the new card. I believe that NVIDIA will do what they did with the SUPER lineup. Remove the Founders Edition tax and stick with one MSRP which in the case of the RTX 2080 Ti was $999 US. NVIDIA can afford that since Turing has been in production for over a year now and there's no graphics unit supply constraint affecting the Turing cards at all. As for the launch, NVIDIA could unveil the card at CES 2020 if they want to since their entire 2019 SUPER lineup will have launched by then. Then again, NVIDIA may just do a special game-specific event for their flagship product launch prior to the next-gen lineup which is expected to debut much later in 2020.
Would you be interested to buy the NVIDIA GeForce RTX 2080 Ti SUPER?
- Yes if it's indeed the flagship card for the entirety of 2020
- Will Wait for Ampere GPUs
- Will Wait for AMD's High-End Response
View ResultsPoll Options are limited because JavaScript is disabled in your browser.
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Let $X_{1},X_{2},\ldots$ be i.i.d. random variables with expectation $\mu$ and variance ${\sigma}^{2}$. We saw that $\bar{X}_{n}$ has mean $\mu$ and standard deviation ${\sigma}/\sqrt{n}$.
This roughly means that $\bar{X}_{n}$ is close to $\mu$, within a few multiples of ${\sigma}/\sqrt{n}$ (as shown by Chebyshev's inequality). Now we look at $\bar{X}_{n}$ with a finer microscope. In other words, we ask for the probability that $\bar{X}_{n}$ is within the tiny interval $[\mu+\frac{a}{\sqrt{n} },\mu+\frac{b}{\sqrt{n} }]$ for any $a < b$. The answer turns out to be surprising and remarkable!
Central limit theorem : Let $X_{1},X_{2},\ldots$ be i.i.d. random variables with expectation $\mu$ and variance ${\sigma}^{2}$. We assume that $0 < {\sigma}^{2} < \infty$. Then, for any $a < b$, we have $$ \mathbf{P}\left\{ \mu+a\frac{{\sigma}}{\sqrt{n} }\le \bar{X}_{n}\le \mu+b\frac{{\sigma}}{\sqrt{n} }\right\} \rightarrow \Phi(b)-\Phi(a) = \frac{1}{\sqrt{2\pi} }\int\limits_{a}^{b}e^{-t^{2}/2}dt. $$
What is remarkable about this? The end result does not depend on the distribution of $X_{i}$s at all! Only the mean and variance of the distribution were used! As this is one of the most important theorems in all of probability theory, we restate it in several forms, all equivalent to the above.
Restatements of central limit theorem : Let $X_{k}$ be as above. Let $S_{n}=X_{1}+\ldots +X_{n}$. Let $Z$ be a $N(0,1)$ random variable. Then of course $\mathbf{P}\{a < Z < b\}=\Phi(b)-\Phi(a)$.
The central limit theorem so deep and surprising and useful. The following example gives a hint as to why.
Why is this surprising? The way to find the distribution of $Y_{n}$ would be this. Using the convolution formula $n$ times successively, one can find the density of $S_{n}=U_{1}+\ldots +U_{n}$ (in principle! the actual integration may be intractable!). Then we can find the density of $Y_{n}$ by another change of variable (in one dimension). Having got the density of $Y_{n}$, we integrate it from $a$ to $b$ to get $\mathbf{P}\{a < Y_{n} < b\}$. This is clearly a daunting task (if you don't feel so, just try it for $n=5$).
The CLT cuts short all this and directly gives an approximate answer! And what is even more surprising is that the original distribution does not matter - we only need to know the mean and variance of the original distribution!
We shall not prove the central limit theorem in general. But we indicate how it is done when $X_{k}$ come from $\mbox{Exp}(\lambda)$ distribution. This is optional and may be skipped.
Now let $Y_{n}=\frac{S_{n}-n\mu}{{\sigma}\sqrt{n} }=\frac{S_{n}-n}{\sqrt{n} }$. By a change of variable (in one-dimension) we see that the density of $Y_{n}$ is given by $g_{n}(t)=\sqrt{n}f_{n}(n+t\sqrt{n})$. Let us analyse this. $$\begin{align*} g_{n}(t) &= \sqrt{n} \frac{1}{(n-1)!}e^{-(n+t\sqrt{n})}(n+t\sqrt{n})^{n-1} \\ &= \sqrt{n} \frac{n^{n-1} }{(n-1)!}e^{-n-t\sqrt{n} }\left(1+\frac{t}{\sqrt{n} }\right)^{n-1} \\ &\approx \sqrt{n} \frac{n^{n-1} }{\sqrt{2\pi}(n-1)^{n-\frac{1}{2} }e^{-n+1} }e^{-n-t\sqrt{n} }\left(1+\frac{t}{\sqrt{n} }\right)^{n-1} \hspace{2mm}(\mbox{by Stirling's formula})\\ &= \frac{1}{\sqrt{2\pi}(1-\frac{1}{n})^{n-\frac{1}{2} }e^{1} }e^{-t\sqrt{n} }\left(1+\frac{t}{\sqrt{n} }\right)^{n-1}. \end{align*}$$ To find the limit of this, first observe that $(1-\frac{1}{n})^{n-\frac{1}{2} }\rightarrow e^{-1}$. It remains to find the limit of $w_{n}:=e^{-t\sqrt{n} }\left(1+\frac{t}{\sqrt{n} }\right)^{n-1}$. Easiest to do this by taking logarithms. Recall that $\log(1+t)=t-\frac{t^{2} }{2}+\frac{t^{3} }{3}-\ldots$. Hence $$\begin{align*} \log w_{n} &= -t\sqrt{n} + (n-1)\log\left(1+\frac{t}{\sqrt{n} }\right) \\ &= -t\sqrt{n} + (n-1)\left[ \frac{t}{\sqrt{n} }-\frac{t^{2} }{2n}+\frac{t^{3} }{3n^{3/2} }-\ldots\right] \\ &= -\frac{t^{2} }{2}+[\ldots] \end{align*}$$ where in $[\ldots]$ we have put all terms which go to zero as $n\rightarrow \infty$. Since there are infinitely many, we should argue that even after adding all of them, the total goes to zero as $n\rightarrow \infty$. Let us skip this step and simply conclude that $\log w_{n}\rightarrow -t^{2}/2$. Therefore, $g_{n}(t) \rightarrow \varphi(t):=\frac{1}{\sqrt{2\pi} }e^{-t^{2}/2}$ which is the standard normal density.
What we wanted was $\mathbf{P}\{a < Y_{n} < b\}=\int\limits_{a}^{b}g_{n}(t) dt$. Since $g_{n}(t)\rightarrow \varphi(t)$ for each $t$, it is believable that $\int\limits_{a}^{b}g_{n}(t) dt\rightarrow \int\limits_{a}^{b}\varphi(t) dt$. This too needs justification but we skip it. Thus, $$ \mathbf{P}\{a < Y_{n} < b\} \rightarrow \int\limits_{a}^{b}\varphi(t) dt = \Phi(b)-\Phi(a). $$ This proves CLT for the case of exponential random variables.


Disclaimer: This tutorial uses an experimental (beta) version of ggdmc, which has added the functionality of fitting logistic regression models. The software can be found in its GitHub. This document has yet completed.
The aim of tutorial is to document one method to fit the logistic regression model, using the Seeds data. Seeds data were studied in Crowder (1978), re-analysed by Breslow and Clayton (1993) and used in the BUGS examples volumn I. This document expands the scope of ggdmc to the logistic regression model.
An ordinary logistic model can fit either binary (response) data (i.e., 0, 1, 0, …) or binomial data (i.e., proportional data, as the Seeds example). The simplest form of the random-effect (multilevel) logistic model is to presume observation units are drawn from a normal distribution.
This two-level model can be compared to the model presuming observation units are as they been observed (i.e., fixed-effect logistic regression model).
Here I use the formulation of anti-logit, because firstly it is easier to interpret the probability of success (i.e., ) and secondly it is practically how computer codes been implemented. The idea of transforming binary or binomial responses with logit is still conceptually important for the generalized linear model though.
Because the Seeds data set was formatted as List, I convert the data to data frame format.
rm(list = ls())
library(data.table); library(boot)
## Load Seeds data ------------
## 2 x 2 design
setwd("~/BUGS_Examples/vol1/Seeds/")
dat <- list(S = c(10, 23, 23, 26, 17, 5, 53, 55, 32, 46,
10, 8, 10, 8, 23, 0, 3, 22, 15, 32,
3),
N = c(39, 62, 81, 51, 39, 6, 74, 72, 51, 79,
13, 16, 30, 28, 45, 4, 12, 41, 30, 51,
7),
## seed variety; 0 = aegytpiao 75 1 = aegyptiao 73
X1 = c(0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
0, 1, 1, 1, 1, 1, 1, 1, 1, 1,
1),
## root extract; 0 = bean; 1 = cucumber
X2 = c(0, 0, 0, 0, 0, 1, 1, 1, 1, 1,
1, 0, 0, 0, 0, 0, 1, 1, 1, 1,
1),
Ns = 21)
d <- data.table(S = dat$S, N = dat$N, P = dat$S/dat$N, X1= dat$X1, X2 = dat$X2)
dplyr::tbl_df(d)
d$s <- factor(1:dat$Ns)
## A tibble: 21 x 7
## S N P X1 X2 logit s
## <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <fct>
## 1 10 39 0.256 0 0 -1.06 1
## 2 23 62 0.371 0 0 -0.528 2
## 3 23 81 0.284 0 0 -0.925 3
## 4 26 51 0.510 0 0 0.0392 4
## 5 17 39 0.436 0 0 -0.258 5
## 6 5 6 0.833 0 1 1.61 6
## 7 53 74 0.716 0 1 0.926 7
## 8 55 72 0.764 0 1 1.17 8
## 9 32 51 0.627 0 1 0.521 9
## 10 46 79 0.582 0 1 0.332 10
## ... with 11 more rows
- S, the number of (successfully) germinated seeds on the ith plate (i = 1, … N);
- N, the number of total seeds on the ith plate;
- P, the proportion of germinated seeds;
- X1, a two-level seed factor, aegyptiao 75 vs. aegyptiao 73;
- X2, a two-level root extract factor, bean vs. cucumber;
- logit, as the column name says;
- s, subject, namely, the observation unit.
The interaction plot shows that the root extract type, cucumber, has a drastic increase in successful germination when the seed type is aegyptiao 75, comparing to when the seed type is aegyptaio 73 and this change is small and in an opposite direction in the root extract type, bean.
The data can be analysed with the ordinary logistic regression (OLR) model or multilevel logistic regression model. The OLR replicates the result in Table 3 (1st column) in Breslow and Clayton (1993). I use the display function in the arm package, which shows summary result concisely (AIC is calculated separately).
m1 <- glm(cbind(S, N-S) ~ X1 + X2, family = binomial, data = d)
arm::display(m1)
## Breslow's result in Table 3 p15
## glm(formula = cbind(S, N - S) ~ X1 + X2, family = binomial, data = d)
## coef.est coef.se
## (Intercept) -0.43 0.11
## X1 -0.27 0.15
## X2 1.06 0.14
## ---
## n = 21, k = 3
## residual deviance = 39.7, null deviance = 98.7 (difference = 59.0)
## AIC: 122.28
m2 <- glm(cbind(S, N-S) ~ X1*X2, family = binomial, data = d)
arm::display(m2)
## glm(formula = cbind(S, N - S) ~ X1 * X2, family = binomial, data = d)
## coef.est coef.se
## (Intercept) -0.56 0.13
## X1 0.15 0.22
## X2 1.32 0.18
## X1:X2 -0.78 0.31
## ---
## n = 21, k = 4
## residual deviance = 33.3, null deviance = 98.7 (difference = 65.4)
## AIC: 117.87
require(lme4)
m3 <- glmer(cbind(S, N - S) ~ X1 * X2 + (1 | s), family = binomial(link="logit"), data = d)
arm::display(m3)
## glmer(formula = cbind(S, N - S) ~ X1 * X2 + (1 | s), data = d,
## family = binomial(link = "logit"))
## coef.est coef.se
## (Intercept) -0.55 0.17
## X1 0.10 0.28
## X2 1.34 0.24
## X1:X2 -0.81 0.38
##
## Error terms:
## Groups Name Std.Dev.
## s (Intercept) 0.23
## Residual 1.00
## ---
## number of obs: 21, groups: s, 21
## AIC = 117.5, DIC = -74.6
## deviance = 16.5
| glm | glmer | BUGS | ggdmc | |||||
|---|---|---|---|---|---|---|---|---|
| se | se | se | se | |||||
| -0.558 | 0.126 | -0.548 | 0.166 | -0.557 | 0.197 | |||
| 0.146 | 0.223 | 0.097 | 0.277 | 0.086 | 0.317 | |||
| 1.318 | 0.177 | 1.337 | 0.236 | 1.348 | 0.276 | |||
| -0.778 | 0.306 | -0.810 | 0.384 | -0.824 | 0.445 | |||
| — | — | 0.235 | — | 0.286 | 0.146 |


In this document
- Platform Highlights
- Revisions
- API Level
- Framework API Changes
- Built-in Applications
- Locales
- Emulator Skins
Reference
See Also
API Level: 7
Android 2.1 is a minor platform release deployable to Android-powered handsets starting in January 2010. This release includes new API changes and bug fixes. For information on changes, see the Framework API section.
For developers, the Android 2.1 platform is available as a downloadable component for the Android SDK. The downloadable platform includes a fully compliant Android library and system image, as well as a set of emulator skins, sample applications, and more. The downloadable platform includes no external libraries.
To get started developing or testing against the Android 2.1 platform, use the Android SDK and AVD Manager tool to download the platform into your SDK. For more information, see Exploring the SDK.
Platform Highlights
Android 2.1 does not add significant user features, see the Android 2.0 Platform Highlights document for the latest user features.
Revisions
The sections below provide notes about successive releases of the Android 2.1 platform component for the Android SDK, as denoted by revision number. To determine what revision(s) of the Android 2.1 platforms are installed in your SDK environment, refer to the "Installed Packages" listing in the Android SDK and AVD Manager.
Android 2.1, Revision 3 (July 2011)
- Dependencies:
-
Requires SDK Tools r12 or higher.
- Notes:
-
Improvements to the platform's rendering library to support the visual layout editor in the ADT Eclipse plugin. This revision allows for more drawing features in ADT and fixes several bugs in the previous rendering library. It also unlocks several editor features that were added in ADT 12.
Android 2.1, Revision 2 (May 2010)
- Dependencies:
-
Requires SDK Tools r6 or higher.
- Tools:
-
- Adds support for library projects in the Ant build system.
- Adds improved layout rendering in ADT’s visual layout editor.
Android 2.1, Revision 1 (January 2010)
- Dependencies:
-
Requires SDK Tools r4 or higher.
API Level
The Android 2.1 platform delivers an updated version of the framework API. The Android 2.1 API is assigned an integer identifier — 7 — that is stored in the system itself. This identifier, called the "API Level", allows the system to correctly determine whether an application is compatible with the system, prior to installing the application.
To use APIs introduced in Android 2.1 in your
application, you need to set the proper value, "7", in the
android:minSdkVersion
attributes of the <uses-sdk>
element in your application's manifest.
For more information about how to use API Level, see the API Levels document.
Framework API Changes
The sections below provide information about changes made to the application framework API provided by the Android 2.1 platform.
Live Wallpapers
The following additions provide APIs for you to develop animated wallpapers:
- New
android.service.wallpaper
package. - New
WallpaperInfo
class. - Updated
WallpaperManager
.
Additionally, if your application uses or provides Live Wallpapers, you must
remember to add a <uses-feature>
element to the application's manifest, declaring the attribute
android:name="android.software.live_wallpaper"
. For example:
<uses-feature android:name="android.software.live_wallpaper" />
When you've published your application, Google Play checks for the presence of this element and uses it as a filter, ensuring that your application is not made available to users whose devices do not support Live Wallpapers.
Telephony
- New
SignalStrength
class provides information about the device's current network signal. This can be acquired from the newonSignalStrengthsChanged(SignalStrength)
callback. - New
onDataConnectionStateChanged(int, int)
callback.
Views
- New
View
methodsisOpaque()
andonDrawScrollBars(Canvas)
. - New
RemoteViews
methodsaddView(int, RemoteViews)
andremoveAllViews(int)
. - New
ViewGroup
methodsisChildrenDrawingOrderEnabled()
andsetChildrenDrawingOrderEnabled(boolean)
.
WebKit
- New
WebStorage
methods to manipulate web storage databases. - New
GeolocationPermissions
methods to get Geolocation permissions from, and set them on the WebView. - New
WebSettings
methods to manage settings for app cache, web storage, and zooming based on screen density. - New
WebChromeClient
methods for handling video, browsing history, custom Views, app cache limits, and more.
API differences report
For a detailed view of all API changes in Android 2.1 (API Level 7), as compared to API Level 6, see the API Differences Report.
Built-in Applications
The system image included in the downloadable platform provides these built-in applications:
|
|
Locales
The system image included in the downloadable platform provides a variety of built-in locales. In some cases, region-specific strings are available for the locales. In other cases, a default version of the language is used. The languages that are available in the Android 2.1 system image are listed below (with language_country/region locale descriptor).
|
|
Localized UI strings match the locales that are accessible through Settings.
Emulator Skins
The downloadable platform includes a set of emulator skins that you can use for modeling your application in different screen sizes and resolutions. The emulator skins are:
- QVGA (240x320, low density, small screen)
- WQVGA (240x400, low density, normal screen)
- FWQVGA (240x432, low density, normal screen)
- HVGA (320x480, medium density, normal screen)
- WVGA800 (480x800, high density, normal screen)
- WVGA854 (480x854 high density, normal screen)
For more information about how to develop an application that displays and functions properly on all Android-powered devices, see Supporting Multiple Screens.


Photo gallery with 3d carousel on Javascript/ VueJs
link -> nikbegood.tk/jekyll-vue/main
Powered by Django, Wagtail and Puput
Design and Edited by nikbegood
Deploy with Heroku
link -> Travel blog
The article describes the approaches to the understanding of information and communication space, analyzes the ratio of information and cultural space. The processes of informatization and implementation of Internet technologies into society, trying to control the Internet space by countries, the negative aspects of the impact of the worldwide web. The author argues that the formation of the culture solution can be considered to use information technology.
In the modern world, the largest and most influential planetary phenomenon is globalization. The era of global change, the scale of which is widening day by day, brings us to the question of what consequences for a person can be caused by globalization.


---
# Front Matter
layout: basic-page
title: Game Creators
top-img: Members_page_head.png
top-img-pos: 34%;
noHeaderMargin: true
meta-description: "We thrive as a club thanks to the many talented CMU students who make games with us. Here's a list of everyone who's ever made a game with GCS!"
---
{% assign creators = '' | split: '' %}
{% for game in site.games %}
{% for creator in game.project_members %}
{% if creator[1] != "first" and creator[1] != "" %}
{% assign newCreator = creator[0] | remove: "*" | split: '_' %}
{% assign creators = creators | concat: newCreator %}
{% endif %}
{% endfor %}
{% endfor %}
{% assign creators = creators | uniq | sort_natural %}
{{ creator }}
{% endif %} {% assign found = false %}


Sublime Text bindings demo
The sublime
keymap defines many Sublime Text-specific
bindings for CodeMirror. See the code below for an overview.
Enable the keymap by
loading keymap/sublime.js
and setting
the keyMap
option to "sublime"
.
(A lot of the search functionality is still missing.)


Documentation¶
Before starting, take into account that only the Basic parameters are mandatory. Otherwise, Optional parameters have
predefined default values. You can find and modify them in constants.py
.
Required parameters¶
-cp, —complex_pdb: Path to the PDB file which must contain a protein-ligand complex. Its ligand will be used as the core structure. Remember to rename the ligand chain with a different character in order to detect it.
-sef, —serie_file: Name of the tabular file which must contain the instructions required to perform several successive growings, using different fragments or different growing positions.
Optional parameters¶
Protocol¶
-HT, —highthroughput: High throughput protocol.
-EX, —explorative: Explorative protocol.
-sc, —sampling_control: Templatized control file that will be used in the sampling simulation instead of the default one.
-op, —only_prepare: If set, all PDB and conf files to run growing are prepared, it stops before running PELE.
-og, —only_grow: If set, it runs all growings from folders already prepared. .
default option: Sp protocol.
For more information refer to the protocol tab.
Frag configuration¶
This are the options directly related to Frag itself.
-x, —growing_steps: Number of Growing Steps (GS). By default: 10. Set 6 for small ligands and 2 to perform HT mode.
-cr, —criteria: Name of the column of the report file to select the structures that will spawn in the next GS. Additionally, this parameter will be the selection criteria to extract the best structure after completing the growing. By default: ‘Binding Energy’.
-rst, —restart: If set it will continue from the last GS detected. If all GS are finished it will restart in the equilibration phase.
-cc, —c_chain: Chain name of the core. By default: ‘L’.
-fc, —f_chain: Chain name of the fragment. By default: ‘L’.
-tc, —clash_thr: Threshold distance to detect intramolecular clashes between the fragment and the core.
PlopRotTemp configuration¶
-pl, –plop_path: Absolute path to PlopRotTemp.py. Its included in FragPELE’s library. It’s default is defined in the constants.py.
-sp, —sch_python: Absolute path to Schrodinger’s python. It’s default is defined in the constants.py
-rot, —rotamers: Degrees of rotation to select the rotamers in the library to do the side-chain prediction. By default: “30.0”.
PELE configuration¶
Most of the following arguments are only focused in localize PELE’s directories in the user machine. If you want to modify parameters directly related to PELE configuration (control_file) it is highly recommendable to read PELE’s documentation.
-d, —pele_dir: Complete path to Pele_serial.
-c, —contrl: Path to PELE’s control file templatized.
-l, —license: Absolute path to PELE’s licenses folder.
-r, —resfold: Name for PELE’s results folder. By default: ‘growing_output’.
-rp, —report: Suffix name of the report file from PELE. By default: ‘report’
-tj, —traject: Suffix name of the trajectory file from PELE. By default: ‘trajectory’
-cs, —cpus: Number of cores (computational power) to paralellize PELE’s simulations. By default: 48.
-stp, —steps: Number of simulation steps inside each GS. By default: 6.
-es, —pele_eq_steps: Number of PELE steps in sampling simulation. By default: 20.
-miov, —min_overlap: Minimum value of overlapping factor used in the control_file of PELE. By default: 0.5.
-maov, —max_overlap: Maximum value of overlapping factor used in the control_file of PELE. By default: 0.7.
-tmp, —temperature: Temperature value to add in the control file. If the temperature is high more steps of PELE will be accepted when applying the Metropolis Criteria. By default: 1000.
-sd, —seed: Seed to get the random numbers of the PELE’s simulation.
-st, —steering: Steering to use in the PELE’s simulation. By default 0.
-trh, —translation_high: Translation to use in the PELE’s simulation to displace the ligand. High value. By default: 0.05.
-trl, —translation_low: Translation to use in the PELE’s simulation to displace the ligand. Low value. By default: 0.02.
-roth, —rotation_high: Rotation (radians) to use in the PELE’s simulation to perturb the ligand. High value. By default: 0.10.
-rotl, —rotation_low: Rotation (radians) to use in the PELE’s simulation to perturb the ligand. Low value. By default: 0.05.
-rad, —radius_box: Size of the radius to define the box in the PELE’s simulation where the ligand will be perturbed. By default: 4.
-dat, —data: Path to PELE Data folder to create symbolic links.
-doc, —documents: Path to PELE Documents folder to create symbolic links.
Clustering and spawning configuration¶
The following parameters are extracted from AdaptivePELE. It is not recommendable to modify default parameters.
-dis, —distcont: Distance used to determine which amino acids are in contact with the ligand to generate different clusters of structures to initialize the next GS. By default: 4.
-ct, —threshold*: Threshold distance used in the clustering. By default: 0’3.
-e, —epsilon: An epsilon fraction of processors are distributed proportionally to the value of a metric, and the rest are inverselyProportional distributed. A param n can be specified to only consider the n clusters with best metric. By default: 0’5.
-cn, —condition: Selects whether to take into account maximum or minimum values in epsilon related spawning, values are min or max. By default: min.
-mw, —metricweights: Selects how to distribute the weights of the cluster according to its metric, two options: linear (proportional to metric) or Boltzmann weigths (proportional to exp(-metric/T). Needs to define the temperature T. By default: ‘linear’.
-ncl, –.nclusters: Number of initial structures that we want to use in each new GS. By default: 5.
The next ones have been created specially for FragPELE’s simulations:
-pdbf, —pdbout: Folder where PDBs selected to spawn in the next GS will be stored. By default: ‘PDBs_growing’.
-ban, —banned: List of lists of quartets of PDB atom names that form the banned dihedrals. These dihedrals will be examined after each growing step and if they cross the limit they will not be selected to next initialize the new growing step.
-lim, —limit: Maximum degrees that can accept the banned dihedral.
Output configuration¶
–mae: Output mae files with binding energy trajectory as property inside the file.
—rename: To avoid core renaming.


This website is a school website designed to hold information and more. It requires regular updates.
This website is a ecommerce website built for the selling of art.
This is a website built for class. The objective was to design a website about what one wanted to be when they grew older.This was built in my second year of code in early 2019.


Home
Accommodations
Activities
Booking
Gallery
Contact
Contact Us
Please contact us at:
info@privateresort.com


Course History
Course ID
Id
Course Name
Name
Organiser
Organiser
Start Date
From Date
End Date
To Date
Fees
Fees
GST Included
Justification
Justification
Status
Status
Manager Comment
Text Area


HTML elements are written with a start tag, with an end tag, with the content in between:
HTML elements can have attributes which provide additional information about an element


Hello , let me introduce myself. I am a student of life and in this season of learning I am exploring the world of web development. I have ran an HVAC company for the last 5 of my 12 years in the industry. I love architecture, building, and creation which has drawn me to the development of web apps. A way to build tangible things where the limits are only in one's mind.
I am currently attending the University of Utah's coding bootcamp program. I am familiar with and have used the following languages and technologies:
I am looking forward to building new apps in a production environment as well as a personal endevour to further enrich my skills using more languages and and technologies.


How often do you plan to invest?
How much do you want to invest?
Check our performance against historical market returns.


{% extends "includes/lists/object_list_base.html" %} {% block title %}US Ignite Challenges - {{ block.super }}{% endblock title %} {% block page_title %}Ignite Challenges{% endblock page_title %} {% block top_panel %}
Participating in a challenge is one of the best ways to get involved with the development of next-generation applications. During a challenge, you will gain valuable insights and experience building and deploying applications that utilize technologies like software-defined networking, local cloud, and gigabit to end-user. If you have questions about a particular challenge, please contact the host directly. If you would like to follow a challenge, please create a profile on the site by clicking on the registration button on the top navigation bar and join the US Ignite community.


About
Blog
Help
Contact
Menu
Hello! My name is
Deepak Yadav
about me:
I'm a Senior Web Developer.
Portfolio:


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|
ARK2D
1.0
Game development framework for Windows, Mac OS X and Android.
|
#include "MD5.h"
Go to the source code of this file.
Namespaces | |
| ARK | |
| The main namespace for the framework, containing all the other namespaces and classes. | |
| ARK::GJ | |
| Classes for Game Jolt APIs. | |
Macros | |
| #define | S11 7 |
| #define | S12 12 |
| #define | S13 17 |
| #define | S14 22 |
| #define | S21 5 |
| #define | S22 9 |
| #define | S23 14 |
| #define | S24 20 |
| #define | S31 4 |
| #define | S32 11 |
| #define | S33 16 |
| #define | S34 23 |
| #define | S41 6 |
| #define | S42 10 |
| #define | S43 15 |
| #define | S44 21 |
Functions | |
| std::ostream & | ARK::GJ::operator<< (std::ostream &out, MD5 md5) |
| std::string | ARK::GJ::md5 (const std::string str) |


Dallas Buyers Club
Oct 29, 2012 Drew Barrymore is said to be launching her own makeup line exclusive to. Wal- Mart next year after her contract with brand CoverGirl finishes Jan 17, 2013 Drew Barrymore, however, has never followed the Hollywood. I could only have it for so long because of my Cover Girl contract so I just had to


まぁまぁ そう いわず に み て っ て ください な 。
Well, well, before saying that take a look at this, please. I have lots of new goods, too!


An anonymous BBS (textboard) written in R5RS Scheme
bbs.scm
is a 2ch
clone with the following features:
One newline is a line break (<BR>), two or more newlines will start a new paragraph.
| input | output |
|---|---|
| **bold** | bold |
| __italic__ | italic |
| ==monospaced== | monospaced |
| ~~spoiler~~ | |
| http://c2.com | http://c2.com |
| link to post >>7 | link to post >>7 |
| >quoted text |
|
| ``` ;;;This is a block of code (lambda (h) ((lambda (f) (f f)) (lambda (f) (h (lambda (x) ((f f) x)))))) ``` |
;;;This is a block of code (lambda (h) ((lambda (f) (f f)) (lambda (f) (h (lambda (x) ((f f) x)))))) |
If you'd like to, you can also visit this website anonymously via i2p: textboard.i2p
Check the first draft of this program at gitlab. It was written in the hurry of a lone hackathon, therefore some refactoring is needed before the release of a tarball.
/prog/ was a textboard about ``programming'', hosted at world4ch.org and later dis.4chan.org. It was an odd and fascinating place that went mostly unmoderated for years. Unfortunately the owners were made to remember its existence thanks to imbecilic spammers; and without consideration for the small community that inhabited the place, the formers decided to pull the plug on a sad day of July 2014.
If you weren't lucky enough to have been a part of it, an archive of all the posts is available at archive.org. There's a search engine for this archive which has also been entirely restored as web pages at tinychan.org.
Back then, a somewhat recurrent joke was that the BBS script, shiichan
, should be rewritten in Scheme. I'm not aware this task was ever completed. Well, it is now. For the sake of it. Another motivation was to write some real world software in Scheme: beside implementations you won't find a lot of Scheme code in the wild. This is especially true for MIT Scheme. So, however trivial this program is, its merits are its mere existence and the fact it's been deployed.
If you're interested in the history of textboards as a whole, here are a few interesting reads:
Here's a more comprehensive list.
SchemeBBS is written in MIT/GNU Scheme, Nginx is used as a reverse proxy and the whole system runs on FreeBSD. There's no database, messages are stored as Scheme objects in plain files. This stack is lovely. Nice icons too.
Listening to this tune will make you enjoy writing Scheme code.


Preparation time
less than 30 mins
Cooking time
30 mins to 1 hour
Serves
Serves 4
Dietary
Who said a brownie had to be brown? These white chocolate blondies are a great change and so delicious!
Preheat the oven to 180C/350F/Gas 4. Grease a 20cm/8in square cake tin with butter.
For the brownies, in a bowl, beat together the sugar and eggs until pale and fluffy. Beat in the melted butter a little at a time, making sure each addition of butter is fully incorporated before adding the next.
Add the flour and carefully fold it into the mixture using a metal spoon.
Add the chopped white chocolate and macadamia nuts and carefully fold them into the mixture.
Spoon the brownie batter into the prepared cake tin and shake gently until level. Transfer the tin to the oven and bake for 30-35 minutes, or until a skewer inserted into the centre of the brownies comes out clean. Set aside to cool.
Meanwhile, for the frosting, in a mixing bowl, whisk together the butter, icing sugar and vanilla seeds using an electric whisk until smooth and well combined.
Add the peanut butter and whisk until the mixture is smooth and well combined. (Add a little milk, if using, to loosen the mixture, as necessary).
Once the white chocolate brownies have cooled, spread over the peanut butter frosting in an even layer. Cut the brownies into squares, carefully remove them from the tin and serve on a large serving plate.


Only a short 3 month course which I graduated in 2015
The start of a three year degree
April 2019 til present. Duties included: Serving customers with ticket and candy sales. Ensuring a clean cinema at all times. Food preparation. Cash Handling.
December 2016 till Feburary 2019. Duties included: Accurate weights loaded onto the aircraft. Bags offloaded to customers quickly and safely. Ensuring everyone is safe on the tarmac. Loading cargo onto the aircraft. Cash handling.
Today was so much fun! I got to drive my Grandads 29-year-old Toyota Hilux, although looking at it now you wouldn't think it was nearly 30 years old thats for sure. We drove out to Tapawera from Nelson to visit one of his friends who owns a massive bright pink Cadillac from America. Unfortunatley my phone ran out of batteries so I couldn't take a photo for you all.


Some of the importers are implemented using external libraries. These are found in the libs folder of the package. To make these libraries available, you have to tell the engine where to find them. The location of the external libraries can be set with the {@link SetExternalLibLocation} function. Make sure to call it before any other engine calls.
Create some elements anywhere on your page with the class name online-3d-viewer
. You can create multiple elements with different parameters.
<div class="online_3d_viewer"
style="width: 800px; height: 600px;"
model="model.obj, model.mtl">
</div>
You can specify several attributes:
After placing the elements, call the {@link Init3DViewerElements} function to initalize all the viewers. It must be called after the document is loaded.
window.addEventListener ('load', () => {
// tell the engine where to find the libs folder
OV.SetExternalLibLocation ('libs');
// init all viewers on the page
OV.Init3DViewerElements ();
});
You can also initalize the engine from code. In this case you can provide all the parameters as a JavaScript object. See the {@link EmbeddedViewer} documentation for more details.
window.addEventListener ('load', () => {
// set the location of the external libraries
OV.SetExternalLibLocation ('../libs');
// get the parent element of the viewer
let parentDiv = document.getElementById ('viewer');
// initialize the viewer with the parent element and some parameters
let viewer = new OV.EmbeddedViewer (parentDiv, {
camera : new OV.Camera (
new OV.Coord3D (-1.5, 2.0, 3.0),
new OV.Coord3D (0.0, 0.0, 0.0),
new OV.Coord3D (0.0, 1.0, 0.0),
45.0
),
backgroundColor : new OV.RGBAColor (255, 255, 255, 255),
defaultColor : new OV.RGBColor (200, 200, 200),
edgeSettings : new OV.EdgeSettings (false, new OV.RGBColor (0, 0, 0), 1),
environmentSettings : new OV.EnvironmentSettings (
[
'assets/envmaps/fishermans_bastion/posx.jpg',
'assets/envmaps/fishermans_bastion/negx.jpg',
'assets/envmaps/fishermans_bastion/posy.jpg',
'assets/envmaps/fishermans_bastion/negy.jpg',
'assets/envmaps/fishermans_bastion/posz.jpg',
'assets/envmaps/fishermans_bastion/negz.jpg'
],
false
)
});
// load a model providing model urls
viewer.LoadModelFromUrlList ([
'model.obj',
'model.mtl'
]);
});


This is actually something that I know all of us always wanted to have, the ability to search through opponents
and see the match results.
Just type in your name as you would on the regular section of the site and then you will be able to filter and view all your opponents.
This is still in beta and currently a very early release of the section.
Nothing is final so send over your suggestion to the links below.
If you come across any issue, error, or just want to send us a suggestion you can email us or open a ticket on GitHub.


@Service(value="competitionManager")
@Repository
public class CompetitionManager
extends java.lang.Object
Manages interaction between controller and data. This class works as an abstraction layer between the controller and the underlying data models. This class contains the majority of the logic code dealing with objects and their interactions.
| Modifier and Type | Field and Description |
|---|---|
private AssessmentDAO |
assDao |
private org.springframework.context.ApplicationContext |
context |
static org.apache.log4j.Logger |
logger |
private PlayerDAO |
playerDAO |
private ResultDAO |
resultDAO |
private ExecutionScheduler |
scheduler |
| Constructor and Description |
|---|
CompetitionManager() |
| Modifier and Type | Method and Description |
|---|---|
void |
addArena(Arena arena,
Competition currComp)
Add a new arena
|
void |
addCompetition(Competition comp)
Add a competition
|
void |
addCompetition(NewCompetition form)
Add a new competition from
NewCompetition |
void |
addPlayer(NewPlayer playerForm,
java.lang.String username,
java.lang.String competitionShortName,
org.springframework.validation.BindingResult result)
Add a player
|
void |
addPlayerToArena(java.lang.String username,
java.lang.String competitionName,
java.lang.String arenaName,
java.lang.String playerName)
Add a player to an arena
|
ArenaResult |
getArenaResults(Competition currComp,
Arena arena)
Get the latest results of an arena execution
|
ArenaResult |
getCalculatedCompetitionResult(java.lang.String competitionName)
Helper method
|
Competition |
getCompetition(java.lang.String competitionName)
Helper method
|
java.util.Collection<Competition> |
getCompetitionList()
Helper method
|
CompetitionResult |
getCompetitionResult(java.lang.String competitionName)
Helper method
|
java.util.Collection<PlayerHistory> |
getLatestPlayers(java.lang.String username,
java.lang.String competitionName)
Get the latest history of the player for a user in a competition
|
java.util.Collection<PlayerHistory> |
getPlayers(java.lang.String username,
java.lang.String competitionName)
Get the player history for a user in a competition
|
void |
removeCompetition(java.lang.String competitionName)
Helper method
|
void |
removePlayerFromArena(java.lang.String username,
java.lang.String competitionName,
java.lang.String arenaName,
java.lang.String playerName)
Remove a player form an arena
|
void |
retirePlayer(java.lang.String username,
java.lang.String competitionName,
java.lang.String playerName)
Retire a player
|
void |
setMyScheduler(ExecutionScheduler myScheduler) |
void |
updateCompetition(Competition comp)
Update a competition from a
Competition |
void |
updateCompetition(NewCompetition form)
Update a competition from a
NewCompetition |
private AssessmentDAO assDao
private ResultDAO resultDAO
private PlayerDAO playerDAO
private org.springframework.context.ApplicationContext context
private ExecutionScheduler scheduler
public static final org.apache.log4j.Logger logger
public void setMyScheduler(ExecutionScheduler myScheduler)
public void addCompetition(NewCompetition form)
NewCompetition
form
- the new competition formpublic void updateCompetition(Competition comp)
Competition
comp
- the competition that will be updatedpublic void updateCompetition(NewCompetition form)
NewCompetition
form
- new competition formpublic void addCompetition(Competition comp)
comp
- the competition to addpublic void removeCompetition(java.lang.String competitionName)
competitionName
- the short name (no whitespace) of the competitionAssessmentDAO.removeCompetition(String)
public java.util.Collection<Competition> getCompetitionList()
Competition
AssessmentDAO.getCompetitionList()
public Competition getCompetition(java.lang.String competitionName)
competitionName
- the short name (no whitespace) of the competitionCompetition
or nullAssessmentDAO.getCompetition(String)
public CompetitionResult getCompetitionResult(java.lang.String competitionName)
competitionName
- the short name (no whitespace) of the competitionCompetitionResult
or nullResultDAO.getCompetitionResult(String)
public ArenaResult getCalculatedCompetitionResult(java.lang.String competitionName)
competitionName
- the short name (no whitespace) of the competitionArenaResult
or nullResultDAO.getCalculatedCompetitionResult(String)
public void addArena(Arena arena, Competition currComp)
Also schedules the competition and arena for execution if correct
arena
- the arenacurrComp
- the competitionpublic void addPlayer(NewPlayer playerForm, java.lang.String username, java.lang.String competitionShortName, org.springframework.validation.BindingResult result)
public void retirePlayer(java.lang.String username, java.lang.String competitionName, java.lang.String playerName)
username
- the name of the usercompetitionName
- the short name (no whitespace) of the competitionplayerName
- the name of the playerpublic java.util.Collection<PlayerHistory> getPlayers(java.lang.String username, java.lang.String competitionName)
username
- the name of the usercompetitionName
- the short name (no whitespace) of the competitionPlayerDAO.getPlayerHistory(String, String)
public java.util.Collection<PlayerHistory> getLatestPlayers(java.lang.String username, java.lang.String competitionName)
username
- the name of the usercompetitionName
- the short name (no whitespace) of the competitionPlayerDAO.loadPlayerHistory(String, String)
public void addPlayerToArena(java.lang.String username, java.lang.String competitionName, java.lang.String arenaName, java.lang.String playerName)
username
- the name of the usercompetitionName
- the short name (no whitespace) of the competitionarenaName
- the short name (no whitespace) of the arenaplayerName
- the name of the player.public void removePlayerFromArena(java.lang.String username, java.lang.String competitionName, java.lang.String arenaName, java.lang.String playerName)
username
- the name of the usercompetitionName
- the short name (no whitespace) of the competitionarenaName
- the short name (no whitespace) of the arenaplayerName
- the name of the player.public ArenaResult getArenaResults(Competition currComp, Arena arena)
currComp
- the competitionarena
- the arenaArenaResult
or null.ResultDAO.loadArenaResult(String)


--- layout: page title: Kontakt tagline: group: navigation weight: 5 permalink: /kontakt/ --- {% include JB/setup %}


--- layout: data_model title: WhoisObjectType this_version: 1.0 ---
The WhoisObjectType type is intended to characterize Whois information for a domain.
| Field Name | Type | Description |
|---|---|---|
| @object_referenceoptional | QName |
The object_reference field specifies a unique ID reference to an Object defined elsewhere. This construct allows for the re-use of the defined Properties of one Object within another, without the need to embed the full Object in the location from which it is being referenced. Thus, this ID reference is intended to resolve to the Properties of the Object that it points to. |
| Custom_Properties0..1 | CustomPropertiesType |
The Custom_Properties construct is optional and enables the specification of a set of custom Object Properties that may not be defined in existing Properties schemas. |
| Domain_Name0..1 | URIObjectType |
The Domain_Name field specifies the corresponding domain name for this whois entry |
| Domain_ID0..1 | StringObjectPropertyType |
The Domain_ID field specifies the domain id for the domain associated with this Whois entry |
| Server_Name0..1 | URIObjectType |
The Server_Name field specifies the corresponding server name for this whois entry. This usually corresponds to a nameserver lookup. |
| IP_Address0..1 | AddressObjectType |
The IP_Address field specifies the corresponding ip address for this whois entry. The usually corresponds to a nameserver lookup. |
| DNSSEC0..1 | WhoisDNSSECTypeEnum |
The DNSSEC element corresponds to the DNSSEC field associated with a Whois entry. Acceptable values are: "Signed" or "Unsigned". |
| Nameservers0..1 | WhoisNameserversType |
The Nameservers element represents a list of nameserver entries for a Whois entry. |
| Status0..1 | WhoisStatusesType |
The Status element represents a list of statuses for a given Whois entry. |
| Updated_Date0..1 | DateObjectPropertyType |
The Updated_Date field specifies the date in which the registered domain information was last updated |
| Creation_Date0..1 | DateObjectPropertyType |
The Creation_Date field specifies the date in which the registered domain was created |
| Expiration_Date0..1 | DateObjectPropertyType |
The Expiration_Date field specifies the date in which the registered domain will expire |
| Regional_Internet_Registry0..1 | RegionalRegistryType |
The Regional_Internet_Registry field specifies the name of the Regional Internet Registry (RIR) which allocated the IP address contained in this WHOIS entry. |
| Sponsoring_Registrar0..1 | StringObjectPropertyType |
The Sponsoring_Registrar field holds the name of the sponsoring registrar for the domain |
| Registrar_Info0..1 | WhoisRegistrarInfoType |
The Registrar_Info element represents registrar info that would be returned from a registrar lookup |
| Registrants0..1 | WhoisRegistrantsType |
The Registrants element represents the registrant information associated with a domain lookup |
| Contact_Info0..1 | WhoisContactType |
The Contact_Info element represents contact info that would be returned from a contact lookup |


| Vendor Name | INSTITUT ARMAND-FRAPPIER (INRS) |
|---|---|
| Reference Number | W3380-16-S502 |
| Contract Date | 14-6-2016 |
| Description of Work | Environmental Impact Studies |
| Delivery Date | 31-3-2017 |
| Contract Value | $12,500.00 |
| Comments | This contract was sole sourced. |
| Additional Comments | Follow up of a an environmental survey on invading insects, more precisely the agrile du frene. |


Sysinfo File:
Matched File:
Start
First Key:
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Origin Name:
Origin Description:
Submit
0/0
Save to file
Score
Origin Name
Origin Description


Standards
History
Chapter Awards
Presidency
The Skyline TSA chapter participated in the “Festival of Trees” community service project over the winter. For this project, chapter members donated shampoo and other basic amenities for the less fortunate members of the Utah community.
Our chapter also came together to raise funds for our VEX team. Through this we were able to procure hundreds of dollars which were used to buy parts and other necessities for our robotics teams.
Skyline offers a several intensive Visual courses for our students.
Skyline’s CTE program not only gives students a technical background but also skills that will assist them with their day-to-day lives.
Computer sciences are a core part of Skyline’s CTE program and offer wide-ranging opportunities in programming languages and IDEs.
Skyline High School’s robotics team is a powerhouse in statewide competitions and is supplemented by the assortment of computer science and robotics courses offered in our CTE program.
Many hands-on courses like Woodshop and Auto Mechanics are also available as a part of Skyline’s CTE program.
Many Skyline CTE classes also familiarize students with specific trades, such as law enforcement and sports medicine.


I like
apples
and
oranges
. You can see other fruits I like
here
.
I also like bananas, mangoes, cherries, apricots, plums, peaches and grapes.


What is "Enumerable?"
Over the course of the last few weeks Dev Bootcamp members ("boots") have learned quite a bit about the Array and Hash classes, and how to use each to not only store information (everything from letters of the alphabet to items needed at the grocery store), but be able to access it as well. Each class is unique in that they have their own methods for adding, deleting, and accessing data, and even implement their own techniques for iterating over their elements. That's awesome. But what makes them really stellar and effective is their ability to use Enumberable methods in addition to ordinary ones. In particular, I'm going to focus on the Enumerable #map method today but before we can dive in, we've got to figure out what Enumerable is all about!
It's important to think of Enumerable as a module (because it is!), which means it's just a bunch of methods that are packaged together and can be "mixed in", or included, with other classes (like our friends Array and Hash). This is pretty great because it means that us lazy programmers can write these methods once, save them as Enumerable, and include them in Array and Hash. So now that we know what Enumerable is, let's move on to the #map method.
"Mapping" it out
In Ruby, sometimes we'll take an array and want to do something to each element of the array, and then have the results "collected", or printed out, so that we can see what happened. Sounds like we would be able to use the #collect method, right? After all, #collect will run your block (of code) and give you an object filled with whatever your block returned each time. For instance, what if we were given an array of integers and we wanted to see the square of each integer printed out? We would do something like this:
Great! So now you can see what the #map ..err.. #collect method does and how it can be used. Wait, you thought this blog post was about the Enumerable #map method? Turns out, we actually just learned about #map as well. That's right - it's the EXACT same method as #collect, just called... #map. Take a look.
I know, I know, this begs the obvious: why would there be two methods that do the exact same thing? I've searched numerous resources and like myself, I'm sure you'll be disappointed to learn that there really isn't any adequate explanation as to why two methods were created to to do the exact same thing. Of course, programmers might have a preference as to which they would rather use based on what they perceive to be more intuitive, but that certainly doesn't answer the question "why". Amazing, I know. I will continue searching and will update this post as soon as I uncover a better answer!


Username:
Gender:
Male
Female
Prefer not to say
Cars:
Honda
Toyota
Sienna
Lexus
None of the above
Nil
STUDENTS NAME
AGE
LEVEL
DEPARTMENT
Shoremi Simisola
18
100L
Mass communication
Samuel Johnson
19
200L
Economics
Michael Austin
18
100L
English
Ademola Martins
20
400L
Medicine and Surgery
Aisha Mohammed
19
300L
Chemistry Education


MVMT watches are on sale for Black Friday now through the first week of December — here are the best deals, Business Insider - Business Insider Singapore
by Owen Burke, Business Insider US- Startup watch brand MVMT offers everything from watches to eyewear and jewelry at an affordable price.
- Now through the first week of December (exact end date TBD), you can get a 20-30% discount sitewide using code ‘HOLIDAY19’.
- We’re also tracking the best overall Black Friday deals here, as well as at major retailers like Amazon, Target, Walmart, and Best Buy and Cyber Monday deals.
- For the best coupons and promo codes on the internet, check out Business Insider Coupons to potentially save more during Cyber Week.
Now through sometime during the first week of December (the brand hasn’t disclosed an end date), MVMT, one of our favorite watch startups, will be running a sitewide 20%-off sale, with 30% off select styles. Use code ‘HOLIDAY19’ to save.
On offer are all watches, sunglasses, jewelry, and more in both the men’s and women’s departments. MVMT’s styles also make great gifts for the holidays. And by the way, if you happen to be using Black Friday as a way to find great gift ideas on the cheap, you can find all the Insider Picks 2019 holiday gift guides here.
The best 6 deals from MVMT:
- Black Duo Box set, $162.32 (originally $231.88) [You save $69.56]
- Men’s The 40 Black Rose Gold 40mm watch, $91 (originally $113.75) [You save $22.75]
- Arc Automatic Watches, $255 (originally $300) [You save $45]
- Women’s Luna watches, $101.50 (originally $145) [You save $43.50]
- Women’s Santa Monica Boulevard 38mm watch, $79.44 (originally $100.63) [You save $30.19]
- Men’s Reveler Sunglasses, $56 (originally $70) [You save $14]
Looking for more Black Friday deals? Here’s where to find them:
- The overall best Black Friday deals of 2019
- The best tech deals of Black Friday 2019
- Amazon Black Friday deals
- Best Buy Friday deals
- Target Black Friday deals
- Walmart Black Friday deal


SUMMARY |
|---|
A fresh graduate from Palawan State University of Bachelor of Science in Computer Science. Being in the field of Computer Science allowed her to be efficient in problem solving, data analytics, technology trends, database management, security and web systems. Her strengths are in planning, organizing and research.
EDUCATION
- BS Computer Science, Palawan State University - Main Campus (2018-2022),cum laude
- STEM-SHS, Palawan National School (2016-2018),with high honors
- Special Program in the Arts, Palawan National School (2012-2016),7th honors
SKILLS
- Coding skills in C++ and Python
- Literate in Natural Language Processing, Data analytics and Database Management
- Recording data into organized spreadsheets
- Digesting academic literature, and understanding theoritical frameworks
- Creating presentations using MS Word, Microsoft Powerpoint, Google Slides, Google Sheets and Canva


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{% extends "layout.html" %} {% block content %}
One Player clicks play
The player chooses the category and level and reads the drink if statement
If you fit the criteria...you drink
You also enter questions
Choose an existing category or choose your own
Just be sure you question matches the right level!


PROBE COMPENSATED NEAR-FIELD MEASUREMENTS ON A CYLINDER
A THESIS Presented to The Faculty of the Division of Graduate Studies and Research By
William Marshall Leach, Jr.
In Partial Fulfillment of the Requirements for the Legree Dector of Philosophy
in the School of Electrical Engineering
Georgia Institute of Technology
August, 1972
Reproduced with permission of the copyright owner. Further reproduction prohibited without permission.