As you have already learned, the Graphics.drawImage
method
draws an image at a specific location:
boolean Graphics.drawImage(Image img, int x, int y, ImageObserver observer);
The x,y
location specifies the position for the top-left of the image.
The observer
parameter notifies the application of updates to an image that
is loaded asynchronously. The observer
parameter is not frequently used directly and is not
needed for the
BufferedImage
class, so it usually is null.
The described method addresses only the case where the entire image is to be drawn, mapping image pixels to user space coordinates 1:1. Sometimes applications require to draw a part of the image (a sub-image), or scale the image to cover a particular area of the drawing surface, or transform or filter the image before drawing.
The overloads of the drawImage()
method
perform these operations. For example, the following overload of
the drawImage()
method enables you to draw as much of a specified area of the
specified image as is currently available, scaling it to fit inside
the specified area of the destination drawable surface:
boolean Graphics.drawImage(Image img, int dstx1, int dsty1, int dstx2, int dsty2, int srcx1, int srcy1, int srcx2, int srcy2, ImageObserver observer);
The src
parameters represent the area of the image to
copy and draw. The dst
parameters display the area of the
destination to cover by the the source area. The dstx1, dsty1
coordinates define the location to draw the image. The width and height
dimensions on the destination area are calculated by the following expressions:
(dstx2-dstx1), (dsty2-dsty1)
. If the dimensions of the source
and destinations areas are different, the Java 2D™ API will scale up or scale down,
as needed.
The following code example divides an image into four quadrants and randomly draws each quadrant of the source image into a different quadrant of the destination.
JumbledImageApplet.java
. This example uses the following code to paint the
jumbled duke_skateboard.jpg
image.
It iterates over the four sub-images of the source, drawing each in turn
into a randomly selected destination quadrant.
/* divide the image 'bi' into four rectangular areas and draw each * of these areas in to a different part of the image, so as to * jumble up the image. * 'cells' is an array which has been populated with values * which redirect drawing of one subarea to another subarea. */ int cellWidth = bi.getWidth(null)/2; int cellHeight = bi.getHeight(null)/2; for (int x=0; x<2; x++) { int sx = x*cellWidth; for (int y=0; y<2; y++) { int sy = y*cellHeight; int cell = cells[x*2+y]; int dx = (cell / 2) * cellWidth; int dy = (cell % 2) * cellHeight; g.drawImage(bi, dx, dy, dx+cellWidth, dy+cellHeight, sx, sy, sx+cellWidth, sy+cellHeight, null); } }
In addition to copying and scaling images, the Java 2D API also filter an image. Filtering is drawing or producing a new image by applying an algorithm to the pixels of the source image. Image filters can be applied by using the following method:
void Graphics2D.drawImage(BufferedImage img, BufferedImageOp op, int x, int y)
The BufferedImageOp
parameter implements the filter.
The following applet represents an image drawn on top of text.
Drag the slider to show more or less of the text through the image and make
the image more or less transparent.
The following code shows how the filter action is done by operating on a
BufferedImage
object with an alpha
channel and rescales that alpha channel by using the RescaleOp
object.
The alpha channel determines the translucency of each pixel.
It also specifies the
degree to which this image overwrites.
/* Create an ARGB BufferedImage */ BufferedImage img = ImageIO.read(imageSrc); int w = img.getWidth(null); int h = img.getHeight(null); BufferedImage bi = new BufferedImage(w, h, BufferedImage.TYPE_INT_ARGB); Graphics g = bi.getGraphics(); g.drawImage(img, 0, 0, null); /* Create a rescale filter op that makes the image 50% opaque */ float[] scales = { 1f, 1f, 1f, 0.5f }; float[] offsets = new float[4]; RescaleOp rop = new RescaleOp(scales, offsets, null); /* Draw the image, applying the filter */ g2d.drawImage(bi, rop, 0, 0);
The complete example represented in
SeeThroughImageApplet.java
includes the code that uses the slider to
adjust the transparency from the initial 50%. This example also requires
the duke_skateboard.jpg image.
The RescaleOp
object is just one of many filters that can be
created. The Java 2D API has several built in filters including the following:
ConvolveOp
. Each output pixel is computed from surrounding pixels in
the source image. It may be used to blur or sharpen images.AffineTransformOp
. This filter maps pixels in the source to a different position
in the destination by applying a transformation on the pixel location.LookupOp
. This filter uses an application supplied lookup table to remap pixel colors.RescaleOp
. This filter multiplies the colors by some factor. Can be used to lighten
or darken the image, to increase or reduce its opacity, etc.The following example uses each of the described filters as well as scaling:
ImageDrawingApplet.java
and this applet requires the bld.jpg image.
Use the drop-down menu to select an image scaling or filtering operation.


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This web service is an example of a simple converter that converts a LIF file to TCF.
This web service demonstrates the case when the underlying processing tool object is not expensive to create and it does not consume a lot of memory. In such a case it is convenient to create the tool object with each client POST request, as shown in the service implementation. You don't need to worry about whether the tool is thread-safe or not.
You can test the service endpoints using curl or wget as follows: Both .json file and .lif is accepted by the program
wget --post-file=karen-all.json --header='Content-Type: application/json' con/stream


--- layout: post title: Brutus in Chains date: '2013-06-30T00:20:57-04:00' tags: - poetry - poem - spilled ink - original tumblr_url: http://poetry.liabogoev.com/post/54233360198/brutus-in-chains ---
Sometimes this stupid mind of mine
doesn’t know where to draw the line
I’m sorry that this anger, flaming,
fuels me to run crazy, blaming,
because when it’s flames I throw,
no one gets close enough to know
how loneliness eats me up inside
how demons in my heart reside
each day I strive and strive to hide,
and vow to change, unlike the tide
but like the tide, such is my pride
it comes and goes and stays inside.
You know why I pretend to be
shrouded in such mystery.
because really, all that’s left of me,
is bitter, stale transparency.
Yet when I look into glass
all I see is mirror and ass
sometimes that’s all I ever see,
that’s what I think is left of me,
After melancholy wrecks,
there’s nothing left for me but sex.
Ugly’s one I’ve never heard,
and so at times, I have preferred
to retreat inside of me, I chose,
to stop my life and come to blows.
The kind with tongues and teeth.
When a sweaty body, I’m beneath
It’s another shield I’ve found
and the possibilities abound.
My mind runs free
and suddenly,
I’m protected once more
as protected as a whore.
you’re the only one that’s ever seen
the reason why I’m truly mean
and there under my pillow
my dagger I had hidden
You took it when I wasn’t looking
and while one day I was hooking,
You lodged it where you knew me best
in my soft heart inside my chest.
And now, each breath I take,
I think of you, you’re in the ache.
and I know, Caesar, that I stabbed you first,
and that’s the pain that hurts the worst.


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--- layout: page title: About header-img: "img/about-bg.png" ---
I am an aspiring software developer from Houston, TX.


JavaScript is a programming language that has been standardized in the ECMAScript language specification. Originally it was developed in 1995 in order to have an easy way to dynamically modify HTML pages directly in the browser. It has various features of modern scripting languages, such as object oriented, imperative and functional programming capabilities. As it is a typical scripting language, it is interpreded (mostly by a browser displaying a web page) and not compiled before execution.
All modern web browsers can execute JavaScript without the need for plugins. This is a significant difference to most other possibilities of making web pages interactive, like Adobe Flash or Microsoft Silverlight, which both require plugins to function properly.
JavaScript has a standardized API for working with strings, arrays, dates and other objects, but it lacks standardized support for networking and storage operations. For these functionality it relies on the environment in which it is executed.


No Reptiles
Gosh
Norrland
by Everything Everything
by Jamie xx
by Gidge
Playlist
1
of 3
My faves
Previous
Play
Pause
Next


Static
- default position of elements
- fits into the normal flow of the document
- can be blocks, inline-blocks or inline
- will not be affected by commands such as left, right, top or bottom
Fixed
- stays in one spot
- start with left right bottom top
- good for headers/footers
Absolute
- positioned relative to the nearest positioned ancestor
- takes cues from ancestor
Relative
- takes the normal static positioning and positions it relative to the default
- inherits from previous ancestor


DRAM Brings the Holiday Cheer on New Single "Litmas"
“Don’t forget the cookies for Santa (Let’s get the good kind).”
by Patrick MontesDRAM is hoping to stir up some holiday cheer with his latest release. Following up his August collaboration with H.E.R., “The Lay Down,” the talented singer-songwriter is introducing a new holiday record produced by the duo of Josh Abraham & Oligee, “Litmas.” DRAM is also no stranger to festive Christmas tunes either, having released the #1EpicHoliday EP back in November of 2017.
“Love on the holidays (Let’s spread the good vibes) / Don’t forget the cookies for Santa (Let’s get the good kind) / Love on the holidays (Let’s spread the good vibes) / More love is on the way (And it’s the good kind),” DRAM sings on “Litmas.” “Cause we can deck the halls (Every day, every day, every day) / And hang the mistletoe (Every day, every day, every day) / It can be Christmas, ayy (Every day, every day, every day) / We can celebrate Christmas, ayy (Every day, every day, every day).”
You can check out DRAM’s new holiday single “Litmas” above.
For more, revisit Valee and DRAM’s ChaseTheMoney-produced track “About U,” which saw release in December of last year.


ODBC access is provided by the Data Driver verbs, that are defined in script dd.ijs. First load this file:
load 'dd'
The Data Driver verbs may be summarized as follows:
Here, ch refers to a connection handle, and sh a statement handle. Note that SQL commands are not case-sensitive.
ddcnm r=. ddcnm sh
Column names of selected data
ddcnt r=. ddcnt ''
(available in J Win95 only)
Rowcount of last ddsql
command
ddcol r=. 'tdata' ddcol ch
Column names and atrributes in a database
ddcom r=. ddcom ch
Commit a transaction (after a ddtrn
)
ddcon ch=. ddcon 'dsn=jdata'
Connect to ODBC data source name. The result is a connection handle. The argument can set several parameters, separated by semicolons. Some are supported by all databases, and others have a meaning only for specific databases. Parameters recognized by most database systems are:
dsn | ODBC data source name |
dlg | dlg=1 prompts for a connection string with a dialog box with entries for User Id and Password (not supported by the distributed dBase driver) |
uid | user name |
pwd | user password |
modifysql | set to 1 (the default) to use ODBC SQL grammer. Set to 0 to use native database grammer. |
rereadafterupdate | set to 1 to force a re-read of a record after an update. This is useful for retrieving auto-updated values such as timestamps. |
rereadafterinsert |
set to 1 to force a re-read of a record after an insert |
dddis r=. dddis ch
Closes connection handle (disconnects from the data source)
ddend r=. ddend sh
Closes statement handle
dderr r=. dderr ''
Return error message on last command. An error message is given when a data driver verb returns _1.
ddfet r=. ddfet sh,n
Fetch next records from selected data. Note that after you have read a record, the next fetch will not read it again. If you need to read it again, you must select it again. For example:
|
fetch next record (same as |
| fetch next 5 records |
|
fetch all remaining records. |
If you fetch all remaining records using ddfet sh,_1
, or if your fetch returns fewer records that you requested (i.e. the fetch reads past the end of the file), then ddfet
closes the statement handle. Otherwise, the statement handle remains open, and you should explicitly close it if you have finished reading the file.
ddfch r=. ddfch sh,n
(available in J Win95 only)
As ddfet
, but returns data in columns
ddrbk r=. ddrbk ch
Discards (rollbacks) a transaction (after a ddtrn
)
ddsel sh=. 'select * from tdata' ddsel ch
Select data from a database, returning a statement handle
ddsql r=. 'create table mydata' ddsql ch
Execute an SQL statement
ddsrc r=. ddsrc ''
In J Win95:
Data source names available from the ODBC manager.
These names can be used as the dsn= argument to ddcon
.
In J Win31:
a statement handle that can be used with ddfet
to return data source names.
ddtbl sh=. ddtbl ch
Returns a statement handle for tables in the data source. Some ODBC drivers, including the distributed dBase driver, do not support this service and the result will be empty.
ddtrn r=. ddtrn ch
Begin a transaction on a connection. Subsequent actions are not committed to the database until a ddcom
is done. Actions since the ddtrn
can be discarded by doing a ddrbk
(rollback).


National Park FAQ's
- How many National Parks are there in the U.S.?
- I have no idea, they don't pay me enough to track that.
- Do people really get eaten by bears?
- Most definitely, all of the time.
- What is the best way to protect myself during my visit?
- Stay out of the animals 'hood (aka nature) and visit using Google Earth.
- What can I expect during a visit to a National Park?
- How should we know, we're not Google. Seriously, that depends mostly on you.
- Is photography allowed?
- Yes, but remember to use caution when in the animals 'hood.
- Are there snakes in the parks?
- Most likely.
- Am I allowed to bring home souveniers from the park?
- Not unless they come from the gift shop. If you steal from Ma Nature she will send her goons for you, and you are probably not about that life.
- What is the best season to plan my visit?
- During human hunting season, the animals are very active then.
- How should I pack for my trip?
- Lightly, in the event, (ahem most likely) you need to run for your life.
- Are there any activites to participate in while at the park?
- Think of your own, this isn't the YMCA yo.
Click To Reveal Answers
Everglades
- Most visited national park.
- Was incorporated into the NPS in 1902.
- Has a species of crocodile, that's on the endangered species list.
- Has 26 full time park rangers.
Denali
- Has a parking pad for GMC Denali's to hang out.
- Is able to grow the rare rainbow eucalyptus tree in it's peculiar climate.
- Has airpima swimming in many of it's fresh water lakes.
- Jeremy Wade has filmed river monsters here.
Carlsbad
- Has a cavern, that is over 3000 years old.
- A tyrannosaurus rex fossil was unearthed here in 1934.
- It has a dessert type climate.
- Polar bears cannot live here.


Common Cents Party
"Common Cents Party, a hard-hitting acoustic punk/electronic four-piece from Atlanta, Georgia, combines an unleashed live performance with edgy lyrics, unforgettable hooks and well-studied synth-rock sounds. A must-see, must-hear new band." -Screech Magazine
Click here for a list of upcoming shows


jQuery Slider by Mario Iliev
Mobile supported (needs jQuery Mobile js)
Some examples:
Download from Github:
Download
Called without parameters only with <div data-slider-box></div>
Specified a fixed width of 250px and initial value
$('.preview2').createSlide({ width: 250, firstvalue: 'Hey' });
Place the output value outside the slider and set the maximum value of 165
$('.preview3').createSlide({ output: '.output', maxvalue: 165 });
Indicate the progress with background color and
set the value interval by 5
$('.preview4').createSlide({ progress: true, interval: 5 });


This page contains syllabi for coureses taught by P. Kerim Friedman, an associate professor in the Department of Ethnic Relations and Cultures, at National Dong Hwa University in Taiwan. 這個網頁有傅可恩老師的課程大綱。傅老師是花蓮國立東華大學族群關係與文化學系的副教授。
General Information
研究所 Graduate Courses
- 語言與政治經濟學 Language and Political Economy
- 語言、科技與社會變遷 Language, Technology and Social Change
- 語言人類學 Linguistic Anthropology
- 文化理論專題 Seminar on Cultural Theories
- 影像民族誌的製作 Visual Ethnography Production
- 影像民族誌 Visual Ethnography
- Graduate seminar on contemporary work in linguistic anthropology. (Discontinued.)
- Graduate seminar on the social effects of developments in communications technology, including writing, the printing press, the internet, and mobile communications. (Discontinued.)
- Introductory level graduate seminar on linguistic anthropology.
- Required course for Ph.D. students.
- Graduate seminar on production methods in visual anthropology.
- Graduate seminar on the theory and history of visual anthropology.
大學系 Undergraduate Courses
- 原住民教育 Aboriginal Education
- 原住民影像 Indigenous Images
- 印度原住民研究 Adivasi Studies
- 政治經濟學概論 Introduction to Political Economy
- 語言與社會 Language and Society
- 學習方法與技巧 Basic Study Skills
- Undergraduate course on issues of class, race, and gender in education, with a specific focus on indigenous education.
- Undergraduate course exploring the representation of indigenous peoples in the media.
- Undergraduate course on Indigenous peoples in India, with a focus on Denotified and Nomadic Tribes.
- Undergraduate course on historical and contemporary inequality, focusing on the colonial encounter as well as issues pertaining to class, race, and gender.
- Undergraduate introduction to sociolinguistics and linguistic anthropology.
- Core course teaching basic college survival skills to undergraduates. (Co-taught.)


Listing and deleting credential authorizations is available to organizations with GitHub Enterprise Cloud. For more information, see GitHub's products in the GitHub Help documentation.
An authenticated organization owner with the read:org
scope can
list all credential authorizations for an organization that uses SAML single
sign-on (SSO). The credentials are either personal access tokens or SSH keys
that organization members have authorized for the organization. For more
information, see
About authentication with SAML single sign-on.
GET /orgs/:org/credential-authorizations
Status: 200 OK
[
{
"login": "octocat",
"credential_id": "161195",
"credential_type": "personal access token",
"token_last_eight": "71c3fc11",
"credential_authorized_at": "2011-01-26T19:06:43Z",
"scopes": [
"user",
"repo"
]
},
{
"login": "hubot",
"credential_id": "161196",
"credential_type": "personal access token",
"token_last_eight": "12345678",
"credential_authorized_at": "2019-03-29T19:06:43Z",
"scopes": [
"repo"
]
}
]


Microsoft updates terms on data privacy amid EU inquiry
Company to offer the new provisions to customers starting in early 2020
Microsoft said on Monday it was updating the privacy provisions of its commercial cloud contracts after European regulators found its deals with European Union institutions failed to protect data in line with EU law.
The EDPS, the EU’s data watchdog, opened an investigation in April to assess whether Microsoft’s contracts with the European Commission and other EU institutions met data protection rules. It raised concerns about compliance in October.
In a statement on its website addressing the issue, Microsoft said: “We will increase our data protection responsibilities for a subset of processing that Microsoft engages in when we provide enterprise services.”
The company, the only major cloud provider to offer such terms in the European Economic Area and beyond, expects to offer the new provisions to public sector and enterprise customers in early 2020.
- Reuters


Signs of the Python Times
It's been an exciting five years in the Python world. Since I
wrote the first edition of this book between 1995 and 1996, Python
has grown from a new kid on the scripting languages block to an
established and widely used tool in companies around the world.
Although measuring the popularity of an open source (http://opensource.org) and freely distributed
tool such as Python is not always easy, most statistics available
reveal exponential growth in Python's popularity over the last
five years. Among the most recent signs of Python's explosive
growth:
- Books
-
As I write this in 2001, there are now over a dozen Python books on
the market, with almost that many more on the way (in 1995 there were
none). Some of these books are focused on a particular domain (e.g.,
Windows), and some are available in German, French, and Japanese
language editions.
- Users
-
In 1999, one leading industry observer suggested that there were as
many as 300,000 Python users worldwide, based on various statistics.
Other estimates are more optimistic still. In early 2000, for
instance, the Python web site was already on track to service 500,000
new Python interpreter downloads by year end (in addition to other
Python distribution mediums); this figure is likely closer to the
true user-base size as I write this book.
- Press
-
Python is now regularly featured in industry publications. In fact,
since 1995, Python creator Guido van Rossum has appeared on the cover
of prominent tech magazines such as Linux
Journal and Dr. Dobb's Journal;
the latter publication gave him a programming excellence award for
Python.
- Applications
-
Real companies have adopted Python for real products. It has shown up
animating the latest Star Wars movie (Industrial Light & Magic),
serving up maps and directories on the Internet (Yahoo), guiding
users through Linux operating system installation (Red Hat), testing
chips and boards (Intel), managing Internet discussion forums
(Egroups), scripting online games (Origin), talking to CORBA
frameworks (TCSI), implementing web site tools (Digital
Creations' Zope), scripting wireless products (Agilent), and
much more.
- Newsgroup
-
User traffic on the main Python Internet newsgroup,
comp.lang.python, has risen dramatically too.
For instance, according to eGroups (see http://www.egroups.com/group/python-list),
there were 76 articles posted on that list in January 1994, and 2678
in January 2000 -- a 35-fold increase. Recent months have been
busier still (e.g., 4226 articles during June, 2000
alone -- roughly 140 per day), and growth has been constant since
the list's inception. This, and all other user-base figures
cited in this preface, are likely to have increased by the time you
read this text. But even at current traffic rates, Python forums are
easily busy enough to consume the full-time attention of anyone with
full-time attention to burn.
- Conferences
-
There are now two annual Python conferences, one of which is hosted
by O'Reilly & Associates. Attendance at Python conferences
has roughly doubled in size every year. An annual Python Day is now
also held in Europe.
- Group therapy
-
Regional Python user groups have begun springing up in numerous sites
in the U.S. and abroad, including Oregon, San Francisco, Washington
D.C., Colorado, Italy, Korea, and England. Such groups work on
Python-related enhancements, organize Python events, and more.
- Domains
-
Python has grown to embrace both Microsoft Windows developers, with
new support for COM and Active Scripting, as well as Java developers,
with the new JPython (renamed "Jython") Java-based
implementation of the language. As we'll see in this edition,
the new COM support allows Python scripts to be both component server
and client; Active Scripting allows Python code to be embedded in
HTML web page code and run on either client or server; and JPython
compiles Python scripts to Java Virtual Machine code so that they can
be run in Java-aware systems and can seamlessly integrate Java class
libraries for use by Python code. As an open source tool for
simplifying web site construction, the Python-based Zope web
application framework discussed in this edition has also begun
capturing the attention of webmasters and CGI coders.
- Services
-
On the pragmatics front, commercial support, consulting, prepackaged
distributions, and professional training for Python are now readily
available from a variety of sources. For instance, the Python
interpreter can be obtained on CDs and packages sold by various
companies (including Walnut Creek, Dr. Dobb's
Journal, and ActiveState), and Python usually comes
prebuilt and free with most Linux operating system distributions.
- Jobs
-
It's now possible to make money as a Python programmer (without
having to resort to writing large, seminal books). As I write this
book, the Python job board at http://www.python.org/Jobs.html lists some 60
companies seeking Python programmers in the U.S. and abroad. Searches
for Python at popular employment sites yield even more hits -- for
instance, 285 Python-related jobs on Monster.com, and 369 on
dice.com. Not that anyone should switch jobs, of course, but
it's nice to know that you can now make a living by applying a
language that also happens to be a pleasure to use.
- Tools
-
Python has also played host to numerous tools development efforts.
Among the most prominent as I write these words: the Software
Carpentry project, which is developing new core software tools in
Python; ActiveState, which ison the verge of releasing a set of Windows and
Linux-focused Python development products; and PythonWare, which is
about to release an integrated Python development environment and GUI
builder.
- Compilers
-
As I write this preface, ActiveState has also announced a new Python
compiler for the Microsoft .NET framework and C# language
environment -- a true Python compiler and independent
implementation of the Python language that generates DLL and EXE
files, allows Python code to be developed under Visual Studio, and
provides seamless .NET integration for Python scripts. It promises to
be a third implementation of Python, along with the standard C-based
Python, and the JPython Java-based system.
- Education
-
Python has also begun attracting the attention of educators, many of
whom see Python as a "Pascal of the 2000s" -- an ideal
language for teaching programming, due to its simplicity and
structure. Part of this appeal was spawned by Guido van
Rossum's proposed Computer Programming for
Everybody (CP4E) project, aimed at making Python the
language of choice for first-time programmers worldwide. At this
writing the future of CP4E itself is uncertain, but a Python special
interest group (SIG) has been formed to address education-related
topics. Regardless of any particular initiative's outcome,
Python promises to make programming more accessible to the masses of
people who will surely soon grow tired of clicking preprogrammed
links, as they evolve from computer users to computer scripters.
In other words, it's not 1995 anymore. Much of the preceding
list was unimaginable when the first edition of this book was
conceived. Naturally, this list is doomed to be out of date even
before this book hits the shelves, but it is nonetheless
representative of the sorts of milestones that have occurred over the
last five years, and will continue to occur for years to come. As a
language optimized to address the productivity demands of
today's software world, Python's best is undoubtedly yet
to come.
|
If you are looking for a concise definition of this book's
topic, try this:
Python is a general-purpose open source computer
programming language, optimized for quality, productivity,
portability, and integration. It is used by hundreds of thousands of
developers around the world, in areas such as Internet scripting,
systems programming, user interfaces, product customization, and
more.
Among other things, Python sports object-oriented programming (OOP);
a remarkably simple, readable, and maintainable syntax; integration
with C components; and a vast collection of precoded interfaces and
utilities. Although general-purpose, Python is often called a
scripting language because it makes it easy to
utilize and direct other software components. Perhaps Python's
best asset is simply that it makes software development more rapid
and enjoyable. To truly understand how, read on.
|
|


TRANSLATIONAL RESEARCH
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<EMAIL_ADDRESS>Updated: Sat Jan 17 08:30:02 2015


PROBLEM
WHEN IT COMES TO OBESITY AND DIABETES, WHAT IF OUR DOCTORS AREN'T IN THE GAME?
Most doctors DO NOT treat obesity.
Those that treat Type 2 diabetes often
Manage it as a chronic incurable condition.
Obesity and type 2 diabetes are not just preventable
They are reversible.

Nearly one half of all Americans are obese.
Two thirds of all Americans are overweight.
One in every three US healthcare dollars
is spent on obesity and diabetes care.
That's over $1 trillion annually.
WHAT IF YOU COULD DO SOMETHING ABOUT THIS?


About this class
Learn about the meaning and importance of confidence and self esteem.
About this course
Learn about the meaning and importance of confidence and self esteem.
About this course
Having confidence in oneself and one's environment is key to dealing with life's challenges and coming out as a winner. It is not only important to learn the methods to build confidence, but also the methods to maintain that confidence in oneself and others around, despite all odds. Public speaking is act of performing a speech before an audience, which could be formal, informal, or semi-formal depending on the kind of setting. Learning to speak well and putting forth valid arguments is a vital skill for the youth today.


 As some he so high down am week. Conduct esteems by cottage to pasture we winding. On assistance he cultivated considered frequently. Person how having tended direct own day man. Saw sufficient indulgence one own you inquietude sympathize.
Boy favourable day can introduced sentiments entreaties. Noisier carried of in warrant because. So mr plate seems cause chief widen first. Two differed husbands met screened his. Bed was form wife out ask draw. Wholly coming at we no enable. Offending sir delivered questions now new met. Acceptance she interested new boisterous day discretion celebrated.
Services
- Printing
- Cover
- Updates
- Mockup


"Sign Up" Form
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Choose your favorite sport:
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2 references to RemoveDrive
System.Management.Automation (2)
engine\SessionStateDriveAPIs.cs (2)
870
driveProvider.
RemoveDrive
(drive, context);
1267
result = driveCmdletProvider.
RemoveDrive
(drive, context);


|
JavaTM 2 Platform Standard Ed. 5.0 |
|||||||||
| PREV CLASS NEXT CLASS | FRAMES NO FRAMES | |||||||||
| SUMMARY: NESTED | FIELD | CONSTR | METHOD | DETAIL: FIELD | CONSTR | METHOD |
java.lang.Object javax.swing.tree.AbstractLayoutCache
public abstract class AbstractLayoutCache
Warning:
Serialized objects of this class will not be compatible with
future Swing releases. The current serialization support is
appropriate for short term storage or RMI between applications running
the same version of Swing. As of 1.4, support for long term storage
of all JavaBeansTM
has been added to the java.beans
package.
Please see XMLEncoder
.
| Nested Class Summary | |
|---|---|
static class |
AbstractLayoutCache.NodeDimensions
Used by AbstractLayoutCache to determine the size
and x origin of a particular node. |
| Field Summary | |
|---|---|
protected AbstractLayoutCache.NodeDimensions |
nodeDimensions
Object responsible for getting the size of a node. |
protected boolean |
rootVisible
True if the root node is displayed, false if its children are the highest visible nodes. |
protected int |
rowHeight
Height to use for each row. |
protected TreeModel |
treeModel
Model providing information. |
protected TreeSelectionModel |
treeSelectionModel
Selection model. |
| Constructor Summary | |
|---|---|
AbstractLayoutCache()
|
| Method Summary | |
|---|---|
abstract Rectangle |
getBounds(TreePath path,
Rectangle placeIn)
Returns a rectangle giving the bounds needed to draw path. |
abstract boolean |
getExpandedState(TreePath path)
Returns true if the path is expanded, and visible. |
TreeModel |
getModel()
Returns the TreeModel that is providing the data. |
AbstractLayoutCache.NodeDimensions |
getNodeDimensions()
Returns the object that renders nodes in the tree, and which is responsible for calculating the dimensions of individual nodes. |
protected Rectangle |
getNodeDimensions(Object value,
int row,
int depth,
boolean expanded,
Rectangle placeIn)
Returns, by reference in placeIn ,
the size needed to represent value . |
abstract TreePath |
getPathClosestTo(int x,
int y)
Returns the path to the node that is closest to x,y. |
abstract TreePath |
getPathForRow(int row)
Returns the path for passed in row. |
int |
getPreferredHeight()
Returns the preferred height. |
int |
getPreferredWidth(Rectangle bounds)
Returns the preferred width for the passed in region. |
abstract int |
getRowCount()
Number of rows being displayed. |
abstract int |
getRowForPath(TreePath path)
Returns the row that the last item identified in path is visible at. |
int |
getRowHeight()
Returns the height of each row. |
int[] |
getRowsForPaths(TreePath[] paths)
Returns the rows that the TreePath instances in
path are being displayed at. |
TreeSelectionModel |
getSelectionModel()
Returns the model used to maintain the selection. |
abstract int |
getVisibleChildCount(TreePath path)
Returns the number of visible children for row. |
abstract Enumeration<TreePath> |
getVisiblePathsFrom(TreePath path)
Returns an Enumerator that increments over the visible
paths starting at the passed in location. |
abstract void |
invalidatePathBounds(TreePath path)
Instructs the LayoutCache that the bounds for
path are invalid, and need to be updated. |
abstract void |
invalidateSizes()
Informs the TreeState that it needs to recalculate
all the sizes it is referencing. |
abstract boolean |
isExpanded(TreePath path)
Returns true if the value identified by row is currently expanded. |
protected boolean |
isFixedRowHeight()
Returns true if the height of each row is a fixed size. |
boolean |
isRootVisible()
Returns true if the root node of the tree is displayed. |
abstract void |
setExpandedState(TreePath path,
boolean isExpanded)
Marks the path path expanded state to
isExpanded . |
void |
setModel(TreeModel newModel)
Sets the TreeModel that will provide the data. |
void |
setNodeDimensions(AbstractLayoutCache.NodeDimensions nd)
Sets the renderer that is responsible for drawing nodes in the tree and which is threfore responsible for calculating the dimensions of individual nodes. |
void |
setRootVisible(boolean rootVisible)
Determines whether or not the root node from the TreeModel is visible. |
void |
setRowHeight(int rowHeight)
Sets the height of each cell. |
void |
setSelectionModel(TreeSelectionModel newLSM)
Sets the TreeSelectionModel used to manage the
selection to new LSM. |
abstract void |
treeNodesChanged(TreeModelEvent e)
Invoked after a node (or a set of siblings) has changed in some way. |
abstract void |
treeNodesInserted(TreeModelEvent e)
Invoked after nodes have been inserted into the tree. |
abstract void |
treeNodesRemoved(TreeModelEvent e)
Invoked after nodes have been removed from the tree. |
abstract void |
treeStructureChanged(TreeModelEvent e)
Invoked after the tree has drastically changed structure from a given node down. |
| Methods inherited from class java.lang.Object |
|---|
clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait |
| Field Detail |
|---|
protected AbstractLayoutCache.NodeDimensions nodeDimensions
protected TreeModel treeModel
protected TreeSelectionModel treeSelectionModel
protected boolean rootVisible
protected int rowHeight
| Constructor Detail |
|---|
public AbstractLayoutCache()
| Method Detail |
|---|
public void setNodeDimensions(AbstractLayoutCache.NodeDimensions nd)
nd
- a NodeDimensions
objectpublic AbstractLayoutCache.NodeDimensions getNodeDimensions()
NodeDimensions
objectpublic void setModel(TreeModel newModel)
TreeModel
that will provide the data.
newModel
- the TreeModel
that is to
provide the datapublic TreeModel getModel()
TreeModel
that is providing the data.
TreeModel
that is providing the datapublic void setRootVisible(boolean rootVisible)
TreeModel
is visible.
rootVisible
- true if the root node of the tree is to be displayedrootVisible
public boolean isRootVisible()
rootVisible
public void setRowHeight(int rowHeight)
rowHeight
- the height of each cell, in pixelspublic int getRowHeight()
public void setSelectionModel(TreeSelectionModel newLSM)
TreeSelectionModel
used to manage the
selection to new LSM.
newLSM
- the new TreeSelectionModel
public TreeSelectionModel getSelectionModel()
treeSelectionModel
public int getPreferredHeight()
public int getPreferredWidth(Rectangle bounds)
(bounds.x, bounds.y)
and
ends at bounds.height + bounds.y
.
If bounds
is null
,
the preferred width for all the nodes
will be returned (and this may be a VERY expensive
computation).
bounds
- the region being queried
public abstract boolean isExpanded(TreePath path)
public abstract Rectangle getBounds(TreePath path, Rectangle placeIn)
path
- a TreePath
specifying a nodeplaceIn
- a Rectangle
object giving the
available space
Rectangle
object specifying the space to be usedpublic abstract TreePath getPathForRow(int row)
null
is returned.
row
- the row being queried
TreePath
for the given rowpublic abstract int getRowForPath(TreePath path)
path
- the TreePath
being queried
public abstract TreePath getPathClosestTo(int x, int y)
null
,
otherwise it'll always return a valid path.
If you need to test if the
returned object is exactly at x, y you should get the bounds for
the returned path and test x, y against that.
x
- the horizontal component of the desired locationy
- the vertical component of the desired location
TreePath
closest to the specified pointpublic abstract Enumeration<TreePath> getVisiblePathsFrom(TreePath path)
Enumerator
that increments over the visible
paths starting at the passed in location. The ordering of the
enumeration is based on how the paths are displayed.
The first element of the returned enumeration will be path,
unless it isn't visible,
in which case null
will be returned.
path
- the starting location for the enumeration
Enumerator
starting at the desired locationpublic abstract int getVisibleChildCount(TreePath path)
path
- the path being queried
public abstract void setExpandedState(TreePath path, boolean isExpanded)
path
expanded state to
isExpanded
.
path
- the path being expanded or collapsedisExpanded
- true if the path should be expanded, false otherwisepublic abstract boolean getExpandedState(TreePath path)
path
- the path being queried
public abstract int getRowCount()
public abstract void invalidateSizes()
TreeState
that it needs to recalculate
all the sizes it is referencing.
public abstract void invalidatePathBounds(TreePath path)
LayoutCache
that the bounds for
path
are invalid, and need to be updated.
path
- the path being updatedpublic abstract void treeNodesChanged(TreeModelEvent e)
Invoked after a node (or a set of siblings) has changed in some way. The node(s) have not changed locations in the tree or altered their children arrays, but other attributes have changed and may affect presentation. Example: the name of a file has changed, but it is in the same location in the file system.
e.path() returns the path the parent of the changed node(s).
e.childIndices() returns the index(es) of the changed node(s).
e
- the TreeModelEvent
public abstract void treeNodesInserted(TreeModelEvent e)
Invoked after nodes have been inserted into the tree.
e.path() returns the parent of the new nodes
e.childIndices() returns the indices of the new nodes in ascending order.
e
- the TreeModelEvent
public abstract void treeNodesRemoved(TreeModelEvent e)
Invoked after nodes have been removed from the tree. Note that if a subtree is removed from the tree, this method may only be invoked once for the root of the removed subtree, not once for each individual set of siblings removed.
e.path() returns the former parent of the deleted nodes.
e.childIndices() returns the indices the nodes had before they were deleted in ascending order.
e
- the TreeModelEvent
public abstract void treeStructureChanged(TreeModelEvent e)
Invoked after the tree has drastically changed structure from a
given node down. If the path returned by e.getPath()
is of length one and the first element does not identify the
current root node the first element should become the new root
of the tree.
e.path() holds the path to the node.
e.childIndices() returns null.
e
- the TreeModelEvent
public int[] getRowsForPaths(TreePath[] paths)
TreePath
instances in
path
are being displayed at.
This method should return an array of the same length as that passed
in, and if one of the TreePaths
in path
is not valid its entry in the array should
be set to -1.
getRowsForPaths
in interface RowMapper
paths
- the array of TreePath
s being queried
TreePath
is displayed; if paths
is null
, null
is returnedprotected Rectangle getNodeDimensions(Object value, int row, int depth, boolean expanded, Rectangle placeIn)
placeIn
,
the size needed to represent value
.
If inPlace
is null
, a newly created
Rectangle
should be returned, otherwise the value
should be placed in inPlace
and returned. This will
return null
if there is no renderer.
value
- the value
to be representedrow
- row being querieddepth
- the depth of the rowexpanded
- true if row is expanded, false otherwiseplaceIn
- a Rectangle
containing the size needed
to represent value
Rectangle
containing the node dimensions,
or null
if node has no dimensionprotected boolean isFixedRowHeight()
|
JavaTM 2 Platform Standard Ed. 5.0 |
|||||||||
| PREV CLASS NEXT CLASS | FRAMES NO FRAMES | |||||||||
| SUMMARY: NESTED | FIELD | CONSTR | METHOD | DETAIL: FIELD | CONSTR | METHOD |
Copyright © 2004, 2010 Oracle and/or its affiliates. All rights reserved. Use is subject to license terms. Also see the documentation redistribution policy.


Basketball Advanced Statistics
Inspired by all sports' atsmosphere we want to provide sports science solutions that enable athletes, players, teams, coaches, organizations and fans to innovate with confidence, maximize opportunities and drive sports outcomes and performance forward.
As a first step we are building the next analytics performance tool for basketball.
Explore Player Advanced Statistics
Based on the box score data, view Four Factors data, offensive efficiency indicators, rebounding metrics, estimated possession counts and offensive and defensive ratings. Additionally, track single player statistics from their OnOff impact stats to PPG.
Understand Player Impact on the Team as a Whole
View each player-combo impact metrics in an intuitive matrix. These metrics include how a team performs when in every possible two-player configuration, using statistics such as points scored, points allowed, and net rating.
Uncover Valuable Lineup Insights
Easily measure and visualize lineup performance over time and drill into detail when needed. Filter the data based on player, starting lineup, specific games, quarters, clutch time, total minutes played, total plus minus, and many more!
It's impossible to think about athletes in isolation in basketball, and the tools on Sports Analytics World do the best job of addressing that fact.


Random Quotes
I'm not a great programmer; I'm just a good programmer with great habits.
— Kent Beck
New Quote


SMPresenceApplicationDelegate Protocol Reference
| Conforms to | NSObject |
|---|---|
| Declared in | SMPresenceApplicationDelegate.h |
– retrieveSucceeded:
required method
This metod is invoked, When retrieve has succeeded
- (void)retrieveSucceeded:(NSMutableArray<NSString*> *)presenceList
Parameters
presenceList |
list of users |
|---|
Availability
2.0.0
Discussion
This metod is invoked, When retrieve has succeeded
Declared In
SMPresenceApplicationDelegate.h
– retrieveFailed:withError:
required method
This metod is invoked, when retrieve has failed
- (void)retrieveFailed:(NSMutableArray<NSString*> *)presenceList withError:(SMMobileError *)error
Parameters
presenceList |
list of users |
|---|---|
error |
MobileError |
Availability
2.0.0
Discussion
This metod is invoked, when retrieve has failed
Declared In
SMPresenceApplicationDelegate.h
– startWatchSucceeded:
required method
This metod is invoked, when starting watch has succeeded
- (void)startWatchSucceeded:(NSMutableArray<NSString*> *)presenceList
Parameters
presenceList |
list of users |
|---|
Availability
2.0.0
Discussion
This metod is invoked, when starting watch has succeeded
Declared In
SMPresenceApplicationDelegate.h
– startWatchFailed:withError:
required method
This metod is invoked, when starting watch failed
- (void)startWatchFailed:(NSMutableArray<NSString*> *)presenceList withError:(SMMobileError *)error
Parameters
presenceList |
list of users |
|---|---|
error |
MobileError |
Availability
2.0.0
Discussion
This metod is invoked, when starting watch failed
Declared In
SMPresenceApplicationDelegate.h
– stopWatchSucceeded:
required method
This metod is invoked, when stop watch has succeeded
- (void)stopWatchSucceeded:(NSMutableArray<NSString*> *)presenceList
Parameters
presenceList |
list of users |
|---|
Availability
2.0.0
Discussion
This metod is invoked, when stop watch has succeeded
Declared In
SMPresenceApplicationDelegate.h
– stopWatchFailed:withError:
required method
This metod is invoked, when stop watch has failed
- (void)stopWatchFailed:(NSMutableArray<NSString*> *)presenceList withError:(SMMobileError *)error
Parameters
presenceList |
list of users |
|---|---|
error |
MobileError |
Availability
2.0.0
Discussion
This metod is invoked, when stop watch has failed
Declared In
SMPresenceApplicationDelegate.h
– updatePresenceSucceeded
required method
This metod is invoked, when local presence state has succesfully changed Application shall call getPresenceStatus to check it’s current presence status.
- (void)updatePresenceSucceeded
Availability
2.0.0
Discussion
This metod is invoked, when local presence state has succesfully changed Application shall call getPresenceStatus to check it’s current presence status.
Declared In
SMPresenceApplicationDelegate.h
– updatePresenceFailed:
required method
This metod is invoked, when local presence state change has failed
- (void)updatePresenceFailed:(SMMobileError *)error
Parameters
error |
MobileError |
|---|
Availability
2.0.0
Discussion
This metod is invoked, when local presence state change has failed
Declared In
SMPresenceApplicationDelegate.h
– presenceStateChanged:
required method
This metod is invoked, when presence state of user has changed which is being watched Application shall call getPresenceStatus to check it’s current presence status.
- (void)presenceStateChanged:(id<SMPresenceDelegate>)presence
Parameters
presence |
which is updated |
|---|
Availability
2.0.0
Discussion
This metod is invoked, when presence state of user has changed which is being watched Application shall call getPresenceStatus to check it’s current presence status.
Declared In
SMPresenceApplicationDelegate.h


{% extends 'templates/nhs_transaction_layout.html' %} {% import 'includes/form_macros.html' as form_macros %} {% block afterHeader %} {% include "includes/service-headers/low-income.html" %} {% endblock %} {% block content %} Your certificate will be posted to you. It will arrive in around xx days. Back to my entitlement {% endblock %}
It will arrive in around xx days.


My life in emacs
In the beginning…
I’ve been using GNU Emacs pretty much daily since 1991, when I got kicked off deimos, a VAX-780 in the astronomy department at Caltech. Well, I didn’t just get kicked off of it… it stopped existing, as vaxen fell out of fashion for being cost ineffective, and the department made the transition to a Convex, a now defunct super minicomputer. But that’s a story for another day.
Finding myself with a brand new Sun Sparcstation, I then had to find
another editor (at the time, I was a wiz on VMS’s EDT
editor) to write
my thesis, the manuscript of which was going to be written in TeX. My
choices seemed to be vi
and emacs
, as even then I (correctly) intuited
that sticking with an emulator for a defunct system was probably not a
good long term strategy.
Emacs had this nice mode called AUCTeX to facilitate authoring TeX documents. I took the plunge, and have never looked back. I of course totally fell for the tinkerer’s malady which affects most new emacs users, and spent more time exploring and configuring emacs that writing my thesis (standard work avoidance tactics).
As I think back about my career in programming, it seems odd that such an… accidental choice ended up having such a deep impact on me. Later, I would come to appreciate emacs as a “programmable editor”, learn lisp, and eventually even build a company’s technological core on Common Lisp; I’m quite sure that would never have happened had I not had my eyes opened to the existence of such deeply interactive and evolveable systems.
Happy, productive years go by
The next two decades saw me living in emacs. From version 18.57,
emacs rapidly developed into an actual GUI application (whoa! modern!)
with the 19.X release. Then we were off the the races.
Working in C++
, then lisp
,
reading/writing mail and usenet (using VM
and, later,
GNUS), various
folding modes (until the category killer,
org-mode appeared in 2003),
version control (first with SVN, then
mercurial, and, finally the
most wondrous
magit, which rescues the horrible git
from the pathetic
mess that is its UI); emacs gave me loyal service during countless
hours.
Cryptography, programming, editing remote files, diffing, rectangle
modes… my motto became “The Answer is Emacs. Now, what was the
question?” Even better, as computers got faster, emacs’ reputation
for being slow and resource hungry began to fade, and now this appears
quaint, as single purpose applications like slack
, a glorified IRC
system, dwarf emacs in terms of resource usage.
Startup time? Not a problem if you never leave it; this session is shorter than most… I remember getting to over a year of uptime once.
(emacs-uptime)
"23 days, 7 hours, 41 minutes, 24 seconds"
I’m guessing I had to reboot my computer for some reason…
Teaching emacs
I guess I sort of ended being the emacs guru and evangelist wherever I went, so I ended up teaching emacs to quite a few people. I discovered an interesting phenomenon: many people took to emacs quite enthusiastically, but usually for different reasons! It seems emacs has many faces, and people need to discover their own “killer app” to see the light.
Of course, today, many, many more special purpose tools and IDEs exist which provide much of this functionality straight out of the box (often better), it is difficult to justify the emacs way. Add to this that the emacs terminology is antiquated (a “window” in emacs doesn’t mean what you think, you want a “frame”, you don’t “cut and paste” in emacs, you “kill and yank”) it must feel like an alien and stubbornly archaic land to a new user. So why should they persevere?
By their tools shall ye know them
Expert tools are not designed like tools for beginners. I watch my younger colleagues, and many seem to be stuck in a form of arrested development, paralyzed in a sort of “eternal beginner” state. I think it has to do with the idea of “user friendliness”, which got (mis-)interpreted as “beginner friendliness”. But a professional programmer isn’t (or, at least, shouldn’t stay) a beginner! I watch them move the mouse, click, drag, cut, scroll (again, with the mouse), click and finally paste… and mentally calculate how long that took, how many times a day they do it, how many days in their life they will do it for… and despair. Not to mention to mental interruption to the flow imposed by each of these tiny delays, each of these additional bits of friction.
So let me be clear: I believe the young programmer should strive to make their tool disappear from their consciousness; the mechanical aspects of your work should be as a musician playing his instrument: he thinks not of the instrument but about the music. The instrument “plays itself”.
This is the realm in which emacs excels. The reason for this is that it’s more a meta tool than a tool. The opening line of the emacs manual is essentially unchanged to this day from my hardcopy version, sixth edition, 1987:
Emacs is the extensible, customizable, self-documenting real-time display editor.
This emphasis on extensibility and customizability is the essence of emacs. Emacs works the way you do, not the way around. That is why, unlike these other “friendly” tools, it never runs out of features, nor slows you down, nor draws attention to itself. The price you pay for this is climbing the steep learning curve. Did you think this was going to be easy? Nothing worthwhile ever is.
Modern times
These days I am deeply conflicted about whether or not to recommend to young programmers that they follow this path; it’s hard for me to gauge to what extent the time I invested in learning this tool (and the rewards I got from it) are still achievable today. For me, the principal win has been that I could do just about all of my work from within emacs, thus compounding efficiencies as I switched from one mode to another. But the world has moved on, and working outside a browser now becomes more and more difficult. Even tools like the Edit with Emacs chrome browser extension only help marginally, because now developers are made to use obnoxious tools like Jira, which (on purpose, I’m sure) prevent round tripping of their markup language to and from plain text (i.e. markdown). Furthermore, even though I still read my mail from emacs, I have to pipe it through the browser to properly view more than half of messages I now get. I sure long for the days of plain ASCII email…
What advice would I give a young programmer choosing today? I would
say you should still consider emacs
if you are the type of person who
believes in expert tools. Emacs is not flashy or pretty out of the
box. Remember, think of emacs not as a finished product, but as a
toolkit with which to create your own, custom work environment. Emacs
is an investment: you’ll have to work at it. You will either find
yourself falling down the rabbit hole, and enjoying the experience, or
totally bewildered and hating it. Both are fine!
But if you think you’ll still be doing this job in 20 years, if you want to
become ever more effective at it, if you want your work tool to become
an extension of your mind, then perhaps emacs
is for you, even now, in 2020.
You’ll just have to find out for yourself, won’t you?


--- layout: post title: mafutago going places published: true date: 2012-03-09 02:08:00 tags: [mafutago,apps] ---
The mafutago team has come a long way from Garage48 from Kampala all the way to Barcelona at the Mobile Premier Awards and I glad to say the the launch is soon.
The website has been improved , you can view it here mafutago and there you can find links to download the beta version of the andriod app . The team is working round the clock and will be launching soon.
Here is a pic of the team in Barcelona


Your partner has proposed to split the points in the following way:
You may choose to Approve or Reject this proposal.
If you Approve, the points will be split as your partner proposed.
If you Reject, neither you nor your partner will receive any points.


DOW96 Principle Authors Biographies
DOW-96 Principal Authors Biographies
Bruno Berstel
is a software engineer and has been working for approximately 7 years
on object oriented languages and programming. He have worked for 3 years at
Thomson, first on the air traffic control system currently working in Mexico
control centers, then in the NAOS team at the design and implementation of
DyVE. At the turn of 1996, He joined the Knowledge Based Systems team at
ILOG--the team in charge of ILOG Talk.
Christophe Arlen
Andrew J. Blumberg
is a mathematics student at Harvard College.
He is also currently working for John Mallery on the Intelligent Information
Infrastructure Project at the MIT AI Lab.
Erik Chrisment
has been working at the CNET, the research center of
France Telecom, over the past 3 years to develop network design applications.
He especially works with Lisp and C++ ; and a few years ago, became very fond
of expert systems.
Byron Davies
works for Motorola Semiconductor Product Sector in
Mesa, Arizona. He and his wife Victoria have collaborated on manufacturing
applications systems in Common Lisp at both Texas Instruments and Motorola.
Byron has a PhD. in Electrical Engineering from Stanford University.
Victoria Bryan Davies
Guilhem de Wailly
received a master's degree in Computer Science
Applied to Management from the University of Nice (France) in
1991. The topic of his thesis is the study of the ``Contribution of
the Functional Languages to Digital Signal Processing, and their
Implementations on Low Cost Parallel Architecture''.
Peter Denno
has 12 years of experience developing rule-based and
constraint-based manufacturing applications. He has worked the last 1.5 years
at the Mfg Systems Integration Division of the National Institute
of Standards and Technology. His Interests include CAD, STEP compilers
and Lisp.
Thomas Lohman
graduated from Boston University with Bachelor of Arts
degrees in both Computer Science and Economics in May of 1989 and
received his Masters of Science degree in Computer Science from the
same institution in December of 1995. His technical interests include
distributed systems and database systems. He has worked as a
research programmer on CAFE, the MIT computer aided fabrication system
and related projects for the past 4 years.
Michael B. McIlrath
is a Research Scientist in the Department of
Electrical Engineering and Computer Science. He is a principal
architect and implementor of the MIT CAFE software system for integrated
circuit manufacturing and is currently the Chair of the CAD Framework
Initiative (CFI) Technology CAD Working Group on Semiconductor Process
Representation.
John C. Mallery
is a research scientist at the Artificial Intelligence
Laboratory of the Massachusetts Institute of Technology. His research interests
center around new ways to model international interactions and new
ways to incorporate advanced computational methods into interactive
political communication. He has developed computer systems that
construct natural language models from narrative text, learn if-then
rules from complexly-structured event data, and conduct automatic
opinion surveys over global computer networks. An electronic
publications system, which he developed for use during the 1992
presidential campaign, currently serves as the primary distribution
hub for press releases by the U.S. White House. His current research
explores intelligent information access, wide-area collaboration,
knowledge-based organizations, and global knowledge webs.
Eric L. Peterson
is a Senior Scientist at MITRE Corporation. He posesses
a particular zeal for knowledge representation, lexical semantics,
object oriented programming, the Common Lisp language, and
particularly CLOS and the Metaobject Protocol. He has worked on
A.I. projects of various domains and sizes including machine
translation, submarine warfare situation analysis, drug cartel plan
recognition, and AEGIS friend or foe determination.
Olin Shivers
Dr. Shivers
received his bachelor's degree in mathematics and computer
science from Yale and his doctorate from Carnegie Mellon. He has held
research and faculty positions at AT&T Bell Laboratories, The University
of Hong Kong, and MIT. His primary research interests are programming
languages and systems.
Christopher R. Vincent
is an undergraduate at MIT, pursuing a degree in
electrical engineering and computer science. He works with the
Intelligent Information Infrastructure Project at the MIT AI Lab,
concentrating on Common LISP applications to the World-Wide Web.
Olivier Clarisse


{% load gravatar %}
We have a number of different authors that contribute articles to our blog. Each of them writes with a unique perspective, ensuring that we have a diverse collection articles accessible to anyone.
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Jupyter Pen
Jupyter Pen
Easily share and create interactive ipython notebooks all on the cloud
Try Me


TCGBWebViewOrientation Constants Reference
| Declared in | TCGBWebViewConfiguration.h |
|---|
TCGBWebViewOrientation
Configure webview’s orientation. It can be set by multiple value. For example, “TCGBWebViewOrientationPortrait|TCGBWebViewOrientationPortraitUpsideDown” is available. TCGBWebView process this value using bit mask operation. * @see orientationMask
Definition
typedef NS_ENUM(NSUInteger, TCGBWebViewOrientation ) {
TCGBWebViewOrientationUnspecified = 0,
TCGBWebViewOrientationPortrait = 1,
TCGBWebViewOrientationPortraitUpsideDown = 2,
TCGBWebViewOrientationLandscapeRight = 4,
TCGBWebViewOrientationLandscapeLeft = 8,
};
Constants
TCGBWebViewOrientationUnspecified
-
Unspecified Default value, it is set by application’s orientation. 0x0000, 0
Declared In
TCGBWebViewConfiguration.h
. TCGBWebViewOrientationPortrait
-
Portrait Default value, it is set by application’s orientation. 0x0001, 1
Declared In
TCGBWebViewConfiguration.h
. TCGBWebViewOrientationPortraitUpsideDown
-
Portrait UpsideDown Default value, it is set by application’s orientation. 0x0010, 2
Declared In
TCGBWebViewConfiguration.h
. TCGBWebViewOrientationLandscapeRight
-
Landscape Right Default value, it is set by application’s orientation. 0x0100, 4
Declared In
TCGBWebViewConfiguration.h
. TCGBWebViewOrientationLandscapeLeft
-
Landscape Left Default value, it is set by application’s orientation. 0x1000, 8
Declared In
TCGBWebViewConfiguration.h
.
Declared In
TCGBWebViewConfiguration.h


Click the cards below to see the projects
Create and publish a one page html document giving a brief introduction of who I am, and my interests in web technologies. Built using only the terminal.
HTML page with an overview of basic css. Goal was to do 100 github commits in order to get used to useing git commands.
A collaborative narrative website about a spaceship traveling to settle a planet. However, crew members start waking up beofre they are supposed to and end up missing. The goal of the project was to learn how to use git collaboratively and deal with merge conflicts.
Story narrative website using parallax, html boilerplate, and webpack. My story is about the start of a race, and uses parallax to move the race cars at different speeds.
Learned about and created a short animation demo using the node library animeJs. My project also link to the github where the readMe document give a short tutorial of setting up and using animeJs.
I used google analytics on my parallax project, and this is the summary of the users I got after sending to friends and family.


OpenCV::VectorizedGraphics::Vector2D32f Struct Reference
2D vector of float values.
More...
#include <OpticalFlow.h>
List of all members.
Detailed Description
2D vector of float values.
Constructor & Destructor Documentation
| OpenCV::VectorizedGraphics::Vector2D32f::Vector2D32f |
( |
|
) |
[inline] |
Member Function Documentation
| float OpenCV::VectorizedGraphics::Vector2D32f::dx |
( |
|
) |
[inline] |
| float OpenCV::VectorizedGraphics::Vector2D32f::dy |
( |
|
) |
[inline] |
| float OpenCV::VectorizedGraphics::Vector2D32f::length |
( |
|
) |
[inline] |
| Vector2D32f OpenCV::VectorizedGraphics::Vector2D32f::operator/ |
( |
float |
n |
) |
[inline] |
| Vector2D32f& OpenCV::VectorizedGraphics::Vector2D32f::operator/= |
( |
float |
n |
) |
[inline] |
Member Data Documentation
The documentation for this struct was generated from the following file:


AWAITING TO READ FROM YOU.
MY REGARDS
Find local movie times and trailers on Yahoo! Movies.


My Name is Zaid Alyafeai from YEMEN. I am a Master student at KFUPM in Saudi Arabia. I work on machine learning and its applications in computer visions. I like to create my own projects and try to solve them using deep learning. I also like to write about deep learning mainly tutorials or notebooks with code. I am mostly active on twitter @zaidalyafeai. I am open to speaking on conferences or work on part-time projects.
The main purpose of this project is to create a web applications for quick image to image translation. The implementation is based on the paper "Image-to-Image Translation with Conditional Adversarial Networks" by Philip Isola, et al. . The user can draw a sketch or a semantic map to the left and the application will render it to a real image on the right canvas. The model was trained using Tensorflow and converted to a web application using Tensorflow.js.
The main purpose of this project is to design an application to make face segmentation directly from the webcam. The basic model is a U-Net model extracted from pix2pix trained on this faces dataset. To make sure that the model runs in real time the model was trained with less parameters and more augmented dataset.
In this project the model takes live feed from the webcam and tries to reconstuct the original image. It is based on two models. The first model is based on the face semgnetation project; so basically it creates face segmentation. The second model was trained on a celebrity dataset where the input is a segmented face and the output is a celebirty face.
This projects is designed to recognize drawings in real time. The user draws a shape in the canvas and the model will predict the top 5 objects that match the drawing. It was trained on 100 classes taken from the quick draw dataset by Google creative lab.
This project is designed to recognize latex symbols in real time. The user draws a shape in the canvas and the model will predict the top 5 symbols that match the drawing. It was trained on 369 classes taken from the HASY dataset.
This projects implements 5 pretrained fast style transfer models. The web model was converted from these keras models. The keras implementation is based on the paper Perceptual Losses for Real-Time Style Transfer and Super-Resolution by Justin Johnson, et al.
I trained a pix2pix model to learn a style transfer on portrait images. First the dataset is generated by using this model. We save the image and its styled pair and we input it into a pix2pix model. The dataset contains around 700 celebrity images.
This dataset was collected by Google from people drawing different objects. The dataset is a collection of 50 million drawings from 345 different objects that is available publically for everyone. We extract a simple subset of 10 classes of the dataset for simple machine learning tasks. The dataset is suggested as an alternative for MNIST.
A complete walk-through on how to create machine learning models in the browser. The new Tensorflow.js library from Google opens new possibities for developers to start training and deploying machine learning models using javascript. I start by explaining the basic blocks of the language then I devele deep to explain how to create models and load pretrained ones.
In this tutorial I explain how to train a model in colab with tf.keras then deploy it in the browser with Tensorflow.js. Colab from google allows training on GPU and TPU for free for around 12 hours.
In this tutorial I explain how to make a sentiement classification in keras then deploy it in the browser using Tensorflow.js. The RNN model is trained on a movie review dataset that classifies bad/good movies from text inputs. The model is designed with keras and converted to a web model using Tensorflow.js.
In this tutorial I explain how to create a Notebook on google colab. The notebook explores the possiblitiy of training, testing and deploying a model a model in the browser without leaving the notebook. I also explained how to post the project on GitHub directely from Colab using tokens.
In this tutorial I explain how I created the fast pix2pix application. It gives a compete walk-though of training then porting the model to the browser.
An article featuerd in the Gradient publication about using state of the art image generation method (BigGan) to create art. It featuers many people's work with BigGan and also included my work on different experiemnts to explain the latent space of such powerful GANs.
This notebook shows a simple pipeline for training pix2pix on a simple dataset.
This notebook shows how to train, test then deploy models in the browser directly from one notebook. We use a simple XOR example to prove this simple concept.
Google recently allowed training on TPUs for free on colab. This notebook explains how to enable TPU training. Also, it reports some benchmarks using mnist dataset by comparing TPU and GPU performance.
This notebook shows to create a custom data genertor in keras.
As we know that TenosrFlow works with static graphs. So, first you have to create the graph then execute it later. This makes debugging a bit complicated. With Eager Execution you can now evalute operations directly without creating a session.
In this notebook I explain different concepts in eager execution. I go over variables, ops, gradients, custom gradients, callbacks, metrics and creating models with tf.keras and saving/restoring them.
Create a simple app to recognize 100 drawings from the quickdraw dataset. A simple CNN model is created and served to deoploy in the browser to create a sketch recognizer app.
In this notebook we provide QuickDraw10 as an alternative for MNIST. A script is provided to download and load a preprocessed dataset for 10 classes with training and testing split. Also, a simple CNN model is implemented for training and testing.
Autoencoders consists of two structures: the encoder and the decoder. The encoder network downsamples the data into lower dimensions and the decoder network reconstructs the original data from the lower dimension representation. The lower dimension representation is usually called latent space representation.
In this tutorial we explain how to transfer weights from a static graph model built with TensorFlow to a dynamic graph built with Keras. We will first train a model using Tensorflow then we will create the same model in keras and transfer the trained weights between the two models.
Create some cool gifs by interpolation in the latent space of the BigGan model. The model is imported from tensorflow hub.
In this notebook I give a basic introduction to bigGans. I also, how to interpolate between z-vector values. Moreover, I show the results of multiple experiments I made in the latent space of BigGans.
In this notebook a pretrained Mask R-CNN model is used to predict the bounding box and the segmentation mask of objects. I used this notebook to create the dataset for training the pix2pix model.
A notebook exploring the drawing data of quickdraw. I also illustrate how to make a cool animation of the drawing process in colab.
The U-Net model is a simple fully convolutional neural network that is used for binary segmentation i.e foreground and background pixel-wise classification. In this notebook we use it to segment cats and dogs from arbitrary images.
A simple CNN with a regression branch to predict bounding box parameters. The model is trained on a dataset of dogs and cats with bounding box annotations around the head of the pets.
A book exploring different approaches to solve advanced integrals. In this book I gather many special functions like, gamma, beta, zeta, hypergeometric, etc .. and explore the analyticity of such functions. Also, I use complex analysis approaches to solve some advanced integrals that are unsolvable by elementary approaches.
A summary of the probability course by MIT.
WebGL coding to sport tensors rank 5 in Tensorflow.js. This opens the possiblity of for training, predicting models with 4 dimenional inputs.
This layer is very important to implement many models like auto-encoders.
I translated the linear algebra document of the cheatsheet by Stanford to Arabic.
In this presentation at Sharqiah Data Geeks I talk about depoloying machine learning models in the browser with TensorFlow.js. I show a case study of recognizing drawings directly in the browser. I also I show a couple of interesting projects that are done with TensorFlow.js.


① Define regex
Enter a regular expression into the input field below or click Generate random regex to have the app generate a simple regex randomly for you.
A valid regex consists of alphanumeric characters representing the set of input symbols (e.g. a
, B
, 9
), the $
character representing the empty string, the choice operator +
, the Kleene operator *
, and parentheses (
and )
. An example of a valid regex is: (a+B)*(c9+$)+$
.
② Simplify regex
Click Simplify step to perform one simplification step, and Simplify full to perform simplification until the end.
Using set algebra and FSM equivalence laws, regex simplification reduces the length of the regex definition string while not changing the language that the regex defines.
For example, the regex (a+aa)*
defines the same language as the regex a*
.
③ Simplification history
For each simplification step, the application gives the regex strings before and after the simplification step, and the generic rule that was used to perform the step. Furthermore, the application highlights the characters that were deleted in each simplification step.
④ What's next?
This is just the beginning! If you like learning about and playing with FSMs and regexes, check out these other Web apps:
- FSM simulator - A Web app that visually simulates the step-by-step execution of finite-state machines.
- FSM2Regex - A Web app that converts finite-state machines to regular expressions and regular expressions to finite-state machines.
- Regexper - A Web app that displays regular expressions as railroad diagrams.
- Grammophone - A Web app for analyzing and transforming context-free grammars, e.g. for generating strings from a grammar and computing SLR/LR/LALR parsing tables.
- Debuggex - A Web app that is a visual regular expression debugger, tester, and helper.
⑤ Feedback
Love the application, hate it, found a bug, or have a feature idea? I'd love to hear about it! Please send your feedback via the noam project issues page on GitHub.


Mood based Food Recommender 🍕 🍔 🍟
Please Select Your Current Mood
😀
Happy
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Laziness
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Watching TV


Design Tasks
These tasks will help you setup a basic static Template and start setting up your new editable content page.
- Define what you want your site to be
- Write or draw a basic introduction of what you want the site to be.
- Create the HTML Template - Using Cascade, create your HTML Template. Include the following items:
<title>
- Meta Description and Keywords, using System Tags
- Development framework of choice (bootstrap, foundation, bourbon, etc.)
- Basic Website layout, based on your site definition/drawing
- Place a
default
system region inside of your “main” content area
- Create your Configuration
- Choose the proper output and type of data.
- Assign your template
- Create the Metadata Set
- Define what items you must have and place them on the content editor screen
- Hide any metadata you don’t want to use
- Note: Use the “visible” for any content you may use, but don’t want immediately visible.
- Create the Content Type
- Assign the configuration and metadata set
- Define the Data Definition (as desired)
- Create the editable regions of your site
- Ensure your content type is updated to use this new data definition
- Create your first page
- Fill in all of the data definition areas for your new page.
- Note: Your page may or may not show any dynamic content depending on the Data Definition structure and/or template structure.


Market Analysis
Bitcoin Price Diary: How Everything Went 100% Right With My $7.3K Long
by Scott MelkerThe sixth installment of my trade journal features one of my best Bitcoin (BTC) swing trades ever, catching much of the 40% move that caught many traders off guard.
This was a straightforward trade for me, filling bids in an area that I was expecting to be near the potential bottom. The entire trade is immortalized in a twitter thread. After closing this trade, I opened a new one on the retrace, which is still active.
BTC/USD
Setting up the trade
Entries: $7,390, $7,450 ($7,420 average entry)
Targets: $7,712, $8,535, $10,000
Stop loss: I set the stop loss at $7,240, below the 61.8% fib and recent swing low. This would result in a 2.4% loss on the position and a 1% portfolio loss.
Risk / reward: Target 1 = 1.62, Target 2 = 6.19 Target 3 = 14.33
Part 1: Catching Bitcoin’s biggest pump since 2011
As discussed in my previous journal, after a significant break down from the bear flag on Oct. 23, Bitcoin price approached a buy order that I had set in June 2019. There was no rational reason for me to remove this order as doing so would be an emotional decision based on the recent drop. I filled my bids at $7,390 in the highlighted zone below.
This also amounted to an almost perfect 61.8% retrace of the entire move from the $3,100 bottom to the $13,800 top, considered by many to be an ideal entry.
XBT USD daily chart. Source: TradingView
Further, Bitcoin was flashing a bullish divergence on every time frame ranging from the 4-hour to the 3-day time frame. These divergences eventually confirmed on all time frames, shown below on the daily chart.
BTC USD daily chart. Source: TradingView
I doubled down on this position on Oct. 24 after price showed a clear swing failure pattern (SFP), wicking below a key swing low from months ago and closing above.
This is viewed as a sign that liquidity has been engineered by a large party, who has likely moved priced below a certain level to sweep stop-loss orders and fill bids by enticing traders to go short. This SFP is shown below, both on the daily and 4-hour time frames.
BTC USD daily chart. Source: TradingView
BTC USD 4-hour chart. Source: TradingView
How it worked out
Oct. 25th and 26th saw one of the largest daily moves in 24 hours in the history of Bitcoin, and the largest since 2011 — a 40% pump.
All 3 of my targets were hit, which are illustrated below. The first target was just below the bottom of the previous trading range, a likely point of resistance. Considering the 40% move, this was a very early place to start taking profit, but I was comfortable locking in gains in an area where the price was likely to stall, if not reverse back down. I sold ⅓ of my position here.
BTC USD 4-hour chart. Source: TradingView
BTC price moved quickly through the first target, and in a matter of hours had reached the top of the range, filling my second round of asks at $8,500. This accounted for another ⅓ of my position closing.
At this point, I did not have an exact take profit set, as I wanted to watch price action for a good spot to close the remaining ⅓ of the position Price ultimately moved above $10,000 quickly, so I moved a stop loss to just under this psychological level. It was night time where I live, so I went to sleep and woke up “stopped out” at just under $10,000.
This trade (alongside a massive move on Tesla) accounted for a large enough gain to fulfill my profit quota for the rest of 2019. As I always say, the less I trade, the more I make.
Part 2: Setting up my new Bitcoin trade
Entry: $8,995
Targets: $9,600, $9,809, $10,379.15, $10,943, $12,700… and some higher!
Stop loss: $8,775
Entry Idea
As chronicled in the previous trade, Bitcoin made a massive move and then began to retrace. For me, the 40% Bitcoin pump was a sign that the downside was likely over for good, and that it was time to continue looking for long entries.
On any impulsive move, it is common to see a 50% retrace, a knee-jerk selling reaction to a massive change in market conditions. For this reason, I was eyeing the 50% retrace for an entry.
BTC USD 4-hour chart. Source: TradingView
Price dropped to the 50% level, filling my bids for a new Bitcoin position. The chart below shows fresh areas of interest I highlighted for a new trade, including the swing high ($8,995) on the 4-hour chart, immediately after the move down from late September. This is why I chose to set my bids on this line.
BTC USD 4-hour chart. Source: TradingView
The lines drawn on the above chart account for likely short-term targets, as well as area below to use for stop losses (with a bit of room beneath for a wick). I will continue to update this trade as it continues.
The views and opinions expressed here are solely those of the (@scottmelker) and do not necessarily reflect the views of Cointelegraph. Every investment and trading move involves risk. You should conduct your own research when making a decision.


Infrascope is a prototype development of a stethoscope which aims to selectively detect frequencies below the threshold of human hearing and shift them into the normal listening range. The device works by collecting pulse data from a piezoelectric microphone, that filters out unwanted signals through a series of high, low, and bandpass filters, and sends the signal to an amplifier to boost a desired signal. From here the amplified signal is sent to a Voltage Controlled Oscillator which outputs a steady 500Hz signal, that oscillates in accordance with the input from the stethoscope end.
The goal of this project is to create a device that is small, cost effective, and user friendly so physicians can detect early onset carotid artery disease, which has been shown to emit vibrations in the 30Hz range, virtually undetectable with current equipment.


Input masks integrate formatting cues directly into an input field to help signal how to correctly answer a question. These formatting instructions are automatically included in an input and cannot be removed by a user. More importantly, a user cannot enter other non-valid characters into the input field.
You can add these masks directly inline with the HTML5 data-inputmask
attribute. No code necessary!


Tritech Sdn Bhd, was established in 1982, is Malaysia’s leading manufacturer and distributor for high visibility garments and safety products for use on roads, highway and work-sites. Tritech offers a wide range of innovative high visibility garments and products that conform to international standards and the products can be custom made to meet customers’ needs and requirements.
Tritech has been a distributor for major international brands including Reflexite (U.S.A.) microprism retroreflective sheeting, Peter Berghaus (Germany), Sparkler (South Korea), Tildawn (England), Mechatronic (Germany), Astro Optics (U.S.A.), Superior Lightings (U.S.A.), Haenni (Switzerland), AutoTest (Australia) and many other renowned brands and quality products.
Tritech is fully committed to providing continuous innovations, quality products and best service to our customers.


--- layout: post title: 'Boosting your phone signal (via Ed)' date: 2004-10-02 00:00:00 category: links ---


{% extends "home.html" %} {% load staticfiles %} {% block nav %}
We are located in Bethesda, MD, a suburb of Washington, DC, USA. We service a global community of individuals and organizations and are always eager and available to help.


Creates a Spot fleet request.
You can submit a single request that includes multiple launch specifications that vary by instance type, AMI, Availability Zone, or subnet.
By default, the Spot fleet requests Spot instances in the Spot pool where the price per unit is the lowest. Each launch specification can include its own instance weighting that reflects the value of the instance type to your application workload.
Alternatively, you can specify that the Spot fleet distribute the target capacity across the Spot pools included in its launch specifications. By ensuring that the Spot instances in your Spot fleet are in different Spot pools, you can improve the availability of your fleet.
For more information, see Spot Fleet Requests in the Amazon Elastic Compute Cloud User Guide .
See also: AWS API Documentation
request-spot-fleet
[--dry-run | --no-dry-run]
--spot-fleet-request-config <value>
[--cli-input-json <value>]
[--generate-cli-skeleton <value>]
--dry-run | --no-dry-run (boolean)
Checks whether you have the required permissions for the action, without actually making the request, and provides an error response. If you have the required permissions, the error response is DryRunOperation . Otherwise, it is UnauthorizedOperation .
--spot-fleet-request-config (structure)
The configuration for the Spot fleet request.
JSON Syntax:
{
"ClientToken": "string",
"SpotPrice": "string",
"TargetCapacity": integer,
"ValidFrom": timestamp,
"ValidUntil": timestamp,
"TerminateInstancesWithExpiration": true|false,
"IamFleetRole": "string",
"LaunchSpecifications": [
{
"ImageId": "string",
"KeyName": "string",
"SecurityGroups": [
{
"GroupName": "string",
"GroupId": "string"
}
...
],
"UserData": "string",
"AddressingType": "string",
"InstanceType": "t1.micro"|"t2.nano"|"t2.micro"|"t2.small"|"t2.medium"|"t2.large"|"t2.xlarge"|"t2.2xlarge"|"m1.small"|"m1.medium"|"m1.large"|"m1.xlarge"|"m3.medium"|"m3.large"|"m3.xlarge"|"m3.2xlarge"|"m4.large"|"m4.xlarge"|"m4.2xlarge"|"m4.4xlarge"|"m4.10xlarge"|"m4.16xlarge"|"m2.xlarge"|"m2.2xlarge"|"m2.4xlarge"|"cr1.8xlarge"|"r3.large"|"r3.xlarge"|"r3.2xlarge"|"r3.4xlarge"|"r3.8xlarge"|"r4.large"|"r4.xlarge"|"r4.2xlarge"|"r4.4xlarge"|"r4.8xlarge"|"r4.16xlarge"|"x1.16xlarge"|"x1.32xlarge"|"i2.xlarge"|"i2.2xlarge"|"i2.4xlarge"|"i2.8xlarge"|"i3.large"|"i3.xlarge"|"i3.2xlarge"|"i3.4xlarge"|"i3.8xlarge"|"i3.16xlarge"|"hi1.4xlarge"|"hs1.8xlarge"|"c1.medium"|"c1.xlarge"|"c3.large"|"c3.xlarge"|"c3.2xlarge"|"c3.4xlarge"|"c3.8xlarge"|"c4.large"|"c4.xlarge"|"c4.2xlarge"|"c4.4xlarge"|"c4.8xlarge"|"cc1.4xlarge"|"cc2.8xlarge"|"g2.2xlarge"|"g2.8xlarge"|"cg1.4xlarge"|"p2.xlarge"|"p2.8xlarge"|"p2.16xlarge"|"d2.xlarge"|"d2.2xlarge"|"d2.4xlarge"|"d2.8xlarge"|"f1.2xlarge"|"f1.16xlarge",
"Placement": {
"AvailabilityZone": "string",
"GroupName": "string",
"Tenancy": "default"|"dedicated"|"host"
},
"KernelId": "string",
"RamdiskId": "string",
"BlockDeviceMappings": [
{
"VirtualName": "string",
"DeviceName": "string",
"Ebs": {
"SnapshotId": "string",
"VolumeSize": integer,
"DeleteOnTermination": true|false,
"VolumeType": "standard"|"io1"|"gp2"|"sc1"|"st1",
"Iops": integer,
"Encrypted": true|false
},
"NoDevice": "string"
}
...
],
"Monitoring": {
"Enabled": true|false
},
"SubnetId": "string",
"NetworkInterfaces": [
{
"NetworkInterfaceId": "string",
"DeviceIndex": integer,
"SubnetId": "string",
"Description": "string",
"PrivateIpAddress": "string",
"Groups": ["string", ...],
"DeleteOnTermination": true|false,
"PrivateIpAddresses": [
{
"PrivateIpAddress": "string",
"Primary": true|false
}
...
],
"SecondaryPrivateIpAddressCount": integer,
"AssociatePublicIpAddress": true|false,
"Ipv6Addresses": [
{
"Ipv6Address": "string"
}
...
],
"Ipv6AddressCount": integer
}
...
],
"IamInstanceProfile": {
"Arn": "string",
"Name": "string"
},
"EbsOptimized": true|false,
"WeightedCapacity": double,
"SpotPrice": "string"
}
...
],
"ExcessCapacityTerminationPolicy": "noTermination"|"default",
"AllocationStrategy": "lowestPrice"|"diversified",
"FulfilledCapacity": double,
"Type": "request"|"maintain",
"ReplaceUnhealthyInstances": true|false
}
--cli-input-json (string) Performs service operation based on the JSON string provided. The JSON string follows the format provided by --generate-cli-skeleton. If other arguments are provided on the command line, the CLI values will override the JSON-provided values.
--generate-cli-skeleton (string) Prints a JSON skeleton to standard output without sending an API request. If provided with no value or the value input, prints a sample input JSON that can be used as an argument for --cli-input-json. If provided with the value output, it validates the command inputs and returns a sample output JSON for that command.
To request a Spot fleet in the subnet with the lowest price
This example command creates a Spot fleet request with two launch specifications that differ only by subnet. The Spot fleet launches the instances in the specified subnet with the lowest price. If the instances are launched in a default VPC, they receive a public IP address by default. If the instances are launched in a nondefault VPC, they do not receive a public IP address by default.
Note that you can't specify different subnets from the same Availability Zone in a Spot fleet request.
Command:
aws ec2 request-spot-fleet --spot-fleet-request-config file://config.json
Config.json:
{
"SpotPrice": "0.04",
"TargetCapacity": 2,
"IamFleetRole": "arn:aws:iam::123456789012:role/my-spot-fleet-role",
"LaunchSpecifications": [
{
"ImageId": "ami-1a2b3c4d",
"KeyName": "my-key-pair",
"SecurityGroups": [
{
"GroupId": "sg-1a2b3c4d"
}
],
"InstanceType": "m3.medium",
"SubnetId": "subnet-1a2b3c4d, subnet-3c4d5e6f",
"IamInstanceProfile": {
"Arn": "arn:aws:iam::123456789012:instance-profile/my-iam-role"
}
}
]
}
Output:
{
"SpotFleetRequestId": "sfr-73fbd2ce-aa30-494c-8788-1cee4EXAMPLE"
}
To request a Spot fleet in the Availability Zone with the lowest price
This example command creates a Spot fleet request with two launch specifications that differ only by Availability Zone. The Spot fleet launches the instances in the specified Availability Zone with the lowest price. If your account supports EC2-VPC only, Amazon EC2 launches the Spot instances in the default subnet of the Availability Zone. If your account supports EC2-Classic, Amazon EC2 launches the instances in EC2-Classic in the Availability Zone.
Command:
aws ec2 request-spot-fleet --spot-fleet-request-config file://config.json
Config.json:
{
"SpotPrice": "0.04",
"TargetCapacity": 2,
"IamFleetRole": "arn:aws:iam::123456789012:role/my-spot-fleet-role",
"LaunchSpecifications": [
{
"ImageId": "ami-1a2b3c4d",
"KeyName": "my-key-pair",
"SecurityGroups": [
{
"GroupId": "sg-1a2b3c4d"
}
],
"InstanceType": "m3.medium",
"Placement": {
"AvailabilityZone": "us-west-2a, us-west-2b"
},
"IamInstanceProfile": {
"Arn": "arn:aws:iam::123456789012:instance-profile/my-iam-role"
}
}
]
}
To launch Spot instances in a subnet and assign them public IP addresses
This example command assigns public addresses to instances launched in a nondefault VPC. Note that when you specify a network interface, you must include the subnet ID and security group ID using the network interface.
Command:
aws ec2 request-spot-fleet --spot-fleet-request-config file://config.json
Config.json:
{
"SpotPrice": "0.04",
"TargetCapacity": 2,
"IamFleetRole": "arn:aws:iam::123456789012:role/my-spot-fleet-role",
"LaunchSpecifications": [
{
"ImageId": "ami-1a2b3c4d",
"KeyName": "my-key-pair",
"InstanceType": "m3.medium",
"NetworkInterfaces": [
{
"DeviceIndex": 0,
"SubnetId": "subnet-1a2b3c4d",
"Groups": [ "sg-1a2b3c4d" ],
"AssociatePublicIpAddress": true
}
],
"IamInstanceProfile": {
"Arn": "arn:aws:iam::880185128111:instance-profile/my-iam-role"
}
}
]
}
To request a Spot fleet using the diversified allocation strategy
This example command creates a Spot fleet request that launches 30 instances using the diversified allocation strategy. The launch specifications differ by instance type. The Spot fleet distributes the instances across the launch specifications such that there are 10 instances of each type.
Command:
aws ec2 request-spot-fleet --spot-fleet-request-config file://config.json
Config.json:
{
"SpotPrice": "0.70",
"TargetCapacity": 30,
"AllocationStrategy": "diversified",
"IamFleetRole": "arn:aws:iam::123456789012:role/my-spot-fleet-role",
"LaunchSpecifications": [
{
"ImageId": "ami-1a2b3c4d",
"InstanceType": "c4.2xlarge",
"SubnetId": "subnet-1a2b3c4d"
},
{
"ImageId": "ami-1a2b3c4d",
"InstanceType": "m3.2xlarge",
"SubnetId": "subnet-1a2b3c4d"
},
{
"ImageId": "ami-1a2b3c4d",
"InstanceType": "r3.2xlarge",
"SubnetId": "subnet-1a2b3c4d"
}
]
}
For more information, see Spot Fleet Requests in the Amazon Elastic Compute Cloud User Guide.


The DRILL JDBC driver fully-qualified path must be placed in the
DRILL_JDBC_JAR
environment variable. This is best done via ~/.Renviron
for interactive work. e.g. DRILL_JDBC_JAR=/usr/local/drill/jars/jdbc-driver/drill-jdbc-all-1.10.0.jar
drill_jdbc(nodes = "localhost:2181", cluster_id = NULL, schema = NULL, use_zk = TRUE)
| nodes | character vector of nodes. If more than one node, you can either have a single string with the comma-separated node:port pairs pre-made or pass in a character vector with multiple node:port strings and the function will make a comma-separated node string for you. |
|---|---|
| cluster_id | the cluster id from |
| schema | an optional schema name to append to the JDBC connection string |
| use_zk | are you connecting to a ZooKeeper instance (default: |
a JDBC connection object
not_run({ con <- drill_jdbc("localhost:2181", "main") drill_query(con, "SELECT * FROM cp.`employee.json`") # you can also use the connection with RJDBC calls: dbGetQuery(con, "SELECT * FROM cp.`employee.json`") # for local/embedded mode with default configuration info con <- drill_jdbc("localhost:31010", use_zk=FALSE) })


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{% extends "tournamentcontrol/competition/base.html" %} {% load i18n %} {% load common competition %} {% block page_title %}{% trans match.title %} - {{ match.datetime|date:"jS F, Y @ G:i" }} [{% trans competition.title %} - {% trans season.title %} - {% trans division.title %}]{% endblock %} {% block body_class %}{{ block.super }} match{% endblock %} {% block content %} {% block heading %}
| {% url application.name|add:":team" competition=competition.slug season=season.slug division=division.slug team=home.slug as url1 %} {% url application.name|add:":team" season=season.slug division=division.slug team=home.slug as url2 %} {% url application.name|add:":team" division=division.slug team=home.slug as url3 %} {% trans home.title %} | {% url application.name|add:":team" competition=competition.slug season=season.slug division=division.slug team=away.slug as url1 %} {% url application.name|add:":team" season=season.slug division=division.slug team=away.slug as url2 %} {% url application.name|add:":team" division=division.slug team=away.slug as url3 %} {% trans away.title %} | ||||
|---|---|---|---|---|---|
| {{ match.home_team_score }} | {{ match.away_team_score }} |


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You want to develop an application with Python and Flask? Here you have the chance to learn that by example. In this tutorial we will create a simple microblog application. It only supports one user that can create text-only entries and there are no feeds or comments, but it still features everything you need to get started. We will use Flask and SQLite as database which comes out of the box with Python, so there is nothing else you need.
If you want the full sourcecode in advance or for comparison, check out the example source.