The Pencil Code Team is devoted to advancing computer science education by making programming as simple and as universal as using a pencil.
Our project grew out of an open-source teaching collaboration between Googler David Bau, his son Anthony, and a group of friends.
Before pencilcode.net, we had created a series of online programming tools which we used to teach Javascript at a variety of urban and suburban classrooms.
Each time we taught, we learned what was hard, we watched where the tool got in the way, and we built a better tool the next time. Pencil Code is the 5th iteration.
When the version simplifying CoffeeScript was picked up by David's brother's school for use in many of their classrooms, David realized it filled a need. (David's brother Kevin teaches math at Beaver Country Day, home of the coded curriculum.)
The latest addition was a dual-mode block and text editor (Droplet) created by Anthony Bau. It was inspired by Hal Abelson's observation that perceived differences between blocks and text were a significant problem, a gap that Droplet now bridges beautifully.
Pencil Code is the work of many of devoted students, teachers, open-source contributors, and volunteers. We welcome your participation too: here is our contributor's portal.
David Bau is a professor at Northeastern university. He is director of the Pencil Code Foundation, which he created after leading image search ranking efforts at Google, and before starting a late-career PhD in artificial intelligence at MIT. At Google, David helped lead the teams behind Google Talk (now called Hangouts) and Google Image Search. Prior to his decade at Google, David built Internet Explorer and .NET platform tools at Microsoft and open-source Java enterprise tools at Crossgain and BEA Systems. He is a volunteer teacher with Citizen Schools, and he is coauthor of a textbook on numerical linear algebra. Google uses Pencil Code in its computer science outreach programs.
Anthony Bau graduated from Massachusetts Institute of Technology with a degree in computer science. He helped develop Pencil Code while a high school student at Phillips Exeter Academy and president of the Exeter Computing Club. He has been active in novice computing education since running and participating in middle-school programming clubs; he was a member of the Lincoln Gear Ticks, national winners at the 2011 First Lego League robotics championship. Anthony learned to program using Scratch, Python, and Javascript, and he created Droplet based on those experiences. Code.org uses Droplet in its CSP curriculum tool, and it supports Anthony through an internship for his open-source contributions to Droplet.
Xinan Liu, a student at National University of Singapore, contributed the icon-based directory UI, screen shots of student projects, and the browserify-based Pencil Code build.
Saksham Aggarwal, a student at IIIT Hyderabad, contributed the HTML block mode editor and several core improvements to Droplet.
Jeremy Ruten, a student in Saskatoon Canada, is developing pencil-tracer, a code transpiler that traces execution flow and variable state in CoffeeScript and JavaScript.
Amanda Boss, an intern at Google and student at Harvard, is developing a timeline interface that will allow students to rewind their programs.
Cali Stenson, an intern at Google and student at Wellesley, is building a UI for visualizing execution traces and changes to variable state.
Dinuka Desilva, a student at Informatics Institute of Technology Sri Lanka, created the filtering UI for long directory views and working on other improvements.
Chris Pirich, an engineer at Code.org, modified Droplet to work well when embedded in the code.org tutorial environment.
Brent Van Minnen, an engineer at Code.org, contributed the ability to drag palette blocks in text mode in Droplet.
Sydney Pickens, a Google technical program manager, curated the block palette, and ran a research study testing efficacy of Pencil Code in classrooms.
Matthew Dawson, a teacher and product manager for Google, created and tested lessons as part of a pilot class and research study for Pencil Code.
David Weintrop, a PhD student at Northwestern, is doing educational research on the transition between blocks and text, using his own customized version of Pencil Code.
Cindy Yang and Ji-Sun Ham, students at the Harvard Graduate School of Education, created a curriculum, videos, and Pencil Cards used in Citizen Schools.
Mandy Hauser, program director for Citizen Schools, is writing and formalizing the Pencil Code curriculum for use in Citizen Schools nationwide.
Caroline Meeks, a charter school teacher at Prospect Hill Academy, is a strategic advisor for Pencil Code, the tool in her classroom and helping to map the CS ed tech space.
Jeremiah Blanchard, a PhD student at University of Florida and program director at Full Sail University, is developing a Python mode for use in his classrooms.
Sharon Lincoln, Chair of the Nonprofit Practice group at Foley Hoag, is providing generous pro bono legal counsel in formation of our 501(c)3.
Siddhartha Sahai, a student at BITS Pilani, is developing a promise-based await extension to Iced CoffeeScript.
Ethan Apter, a Google engineer, coordinated several Citizen Schools classes usign Pencil Code, and is mentoring student contributors.
Yana Malysheva, a Google engineer, is mentoring students and also developing the promise-based await extensions.
D Feher, a Google special projects PM, devised the Pencil Code Gym with music and creative writing modules tor reaching more types of students, and coordinated its implementation and showcasing at Google I/O events.
Bob Cassels, a Google engineer, is contributing a Scheme-inspired arbitrary-precision arithmetic mode for Pencil Code and CoffeeScript.
Anand Ramakrishna, a Microsoft engineer, wrote the node.js backend that serves and stores Pencil Code programs.
Joe Beda, who is ex-Google and ex-Microsoft, contributed the production setup that runs Pencil Code on Google Compute Engine.
Amy Briggs, CS professor at Middlebury, and teaching assistant Tom Dobrow designed and taught a college CS course for nonmajors using Pencil Code.
Pavel Simakov, a Google engineer, contributed the capability to embed and integrate Pencil Code as a widget into other tutorial websites.
Googlers David Saff, and Alison Cichowlas, contributed the Pencil Code Gym implementation, and helped organized youth events using the tool.
Rachel Nicoll, a project manager at the MassTLC Education Foundation, organized and created activities for our first Hour of Code activity in 2014.
Alexander Wei, a Phillips Exeter student, contributed the capability to use tranparent images as nonrectangular sprites.
Weihang Fan, a Phillips Exeter student, identified several bugs that impact beginners, and he fixed autoindenting problems in the ace editor.
James Synge, a Google engineer, created the protractor UI to help debug the turtle, and collaborated on a predecessor to Pencil Code.
Sarah Judd, a curriculum developer with Girls Who Code, and David Miller, a Google engineer who coaches a GWC club, are collaborating to create GWC activities using Pencil Code.
Kim Arcand, a NASA astronomer, and Gus Muench, an AAS astronmer, contributed the Hour of Code activity that lets students program with authentic multiwavelength astronomical image data.
Piper Bau created the first youtube video explaining how to use Pencil Code.
Joshua Greene, Jennifer Hardy, Clayton Weston, Kelly Powers, Elaine Griggs, Kevin Bau, Rob MacDonald, Whitney McKnight, David Case, and Karene Hines are teachers who brought Pencil Code into their classrooms and contributed particularly valuable guidance, experience, and lesson ideas.
Ramakrushna Arugollu, Latisha Silvera, Kevin Egan, Joy Basu (all at John Hancock), Eric Steinlauf, Nikhil Thorat, Emily Bernier, Norris Boyd, Colin McMillin, Jun Lee, Greg Dennis, and Thomas Colthurst (all at Google), taught Citizen Schools and hosted Hackathons using our tools, and helped develop valuable improvements.
Special thanks to Google managers Maggie Johnson, Steve Vinter, Marika Marchegger, Jamie Sue Goodman, and Chris Stephenson, who have all supported David in his quest to contribute to computer science education, and to Code.org managers Hadi Partovi and Sarah Filman, who have supported Anthony in his pioneering work on Droplet. Thanks to Google Summer of Code for financial support for the open-source contributions of three summer students.
Pencil Code is an open-source project that builds on Iced CoffeeScript, a langage created by Jeremy Ashkenas and Max Krohn, and on many other open source libraries. Pencil Code is only possible because of the inventiveness and generosity of the vibrant Javascript open source community. The libraries that we incorporate under open licenses are listed here.
You can follow some of the happenings with Pencil Code on our blog.
If you would like to use Pencil Code in your classroom, or if you are developing open-source improvements to the system, please join our discussion group! Add your contact information to teach.pencilcode.net, and we will invite to our group on Slack within about a day.


2 Kings 25:3
And on the ninth day of the fourth month the famine prevailed in the city, and there was no bread for the people of the land.


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getDefaultCheckoutBranches(isDefaultBranch: false) { ... }
Runs the branches which mut be used for the checkout:
(It is needed in case of multi repo in workspace, because one is controlled by jenkins, the other shall not)
- isDefaultBranch tell if checkout must be controlled by Jenkins
- env.GIT_BRANCH_NAME shall be specified (TODO, envrionement variables must be better managed in DSL)


This is a Paragraph (Left Aligned)
This is a Paragraph (Center Aligned)
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This is a Code
This is Block Quote
This is an example of Preformatted Text


{% define "title" %}Schedule{% end %} {% define "mastheadBgClass" %}bg-cyan{% end %} {% define "defaultSubpage" %}day1{% end %} {% define "selectedSubpage" %}day1{% end %} {% define "masthead" %}
Session rating:
How relevant was this session to your projects?
Based on the description/my expectations, the content was:
Speaker quality:


|
Pangolin
Pangolin is a lightweight rapid development library for managing OpenGL display / interaction and video input
|
Public Member Functions | |
| TruncateVideo (std::unique_ptr< VideoInterface > &videoin, size_t begin, size_t end) | |
| size_t | SizeBytes () const |
| Required buffer size to store all frames. | |
| const std::vector< StreamInfo > & | Streams () const |
| Get format and dimensions of all video streams. | |
| void | Start () |
| Start Video device. | |
| void | Stop () |
| Stop Video device. | |
| bool | GrabNext (unsigned char *image, bool wait=true) |
| Copy the next frame from the camera to image. More... | |
| bool | GrabNewest (unsigned char *image, bool wait=true) |
| Copy the newest frame from the camera to image discarding all older frames. More... | |
| std::vector< VideoInterface * > & | InputStreams () |
| Public Member Functions inherited from pangolin::VideoFilterInterface | |
| template<typename T > | |
| std::vector< T * > | FindMatchingStreams () |
Protected Member Functions | |
| VideoPlaybackInterface * | GetVideoPlaybackInterface () |
Protected Attributes | |
| std::unique_ptr< VideoInterface > | src |
| std::vector< VideoInterface * > | videoin |
| std::vector< StreamInfo > | streams |
| size_t | begin |
| size_t | end |
| size_t | next_frame_to_grab |
|
virtual |
Copy the newest frame from the camera to image discarding all older frames.
Optionally wait for a frame if one isn't ready Returns true iff image was copied
Implements pangolin::VideoInterface.
|
virtual |
Copy the next frame from the camera to image.
Optionally wait for a frame if one isn't ready Returns true iff image was copied
Implements pangolin::VideoInterface.


{% extends 'base.html' %} {% block title %} Account {% endblock %} {% block links %} {% load static %} {% endblock %} {% block content %}
Your new password contains the following errors:
Please make sure your new password follows these rules:
Once an account is deleted, it is not recoverable.


PAM_TTY_AUDIT
Section: Linux\-PAM Manual (8)Updated: 11/04/2009
Index Return to Main Contents
NAME
pam_tty_audit - Enable or disable TTY auditing for specified usersSYNOPSIS
- pam_tty_audit.so [disable=patterns] [enable=patterns]
DESCRIPTION
OPTIONS
disable=patterns
- For each user matching one of comma-separated glob patterns, disable TTY auditing. This overrides any previous enable option matching the same user name on the command line.
enable=patterns
- For each user matching one of comma-separated glob patterns, enable TTY auditing. This overrides any previous disable option matching the same user name on the command line.
open_only
- Set the TTY audit flag when opening the session, but do not restore it when closing the session. Using this option is necessary for some services that don't fork() to run the authenticated session, such as sudo.
MODULE TYPES PROVIDED
Only the session type is supported.
RETURN VALUES
PAM_SESSION_ERR
- Error reading or modifying the TTY audit flag. See the system log for more details.
PAM_SUCCESS
- Success.
NOTES
When TTY auditing is enabled, it is inherited by all processes started by that user. In particular, daemons restarted by an user will still have TTY auditing enabled, and audit TTY input even by other users unless auditing for these users is explicitly disabled. Therefore, it is recommended to use disable=* as the first option for most daemons using PAM.
To view the data that was logged by the kernel to audit use the command aureport --tty.
EXAMPLES
Audit all administrative actions.
-
session required pam_tty_audit.so disable=* enable=root
SEE ALSO
aureport(8), pam.conf(5), pam.d(5), pam(8)
AUTHOR
pam_tty_audit was written by Miloslav Trmač<EMAIL_ADDRESS>Index
- NAME
- SYNOPSIS
- DESCRIPTION
- OPTIONS
- MODULE TYPES PROVIDED
- RETURN VALUES
- NOTES
- EXAMPLES
- SEE ALSO
- AUTHOR
This document was created by man2html, using the manual pages.
Time: 05:34:28 GMT, December 24, 2015


Asymptote is a powerful descriptive vector graphics language that provides a natural coordinate-based framework for technical drawing. Labels and equations can be typeset with LaTeX.
This package is known to build and work properly using an LFS-7.7 platform.
Download (HTTP): http://downloads.sourceforge.net/sourceforge/asymptote/asymptote-2.32.src.tgz
Download MD5 sum: 9c817c2a9763294d3b66e4b57054eed3
Download size: 1.8 MB
Estimated disk space required: 163 MB
Estimated build time: 2.1 SBU
ghostscript-9.15, texlive-20140525
Freeglut-2.8.1 (for 3D drawing)
Imaging
which needs
Imaging-1.1.7-freetype_fix-1.patch and has a build dependency
of Python-2.7.9 (re-) compiled against Tk-8.6.3 to
provide _tkinter.so
User Notes: http://wiki.linuxfromscratch.org/blfs/wiki/asymptote
Install asymptote by running the following commands:
export TEXARCH=$(uname -m | sed -e 's/i.86/i386/' -e 's/$/-linux/') && patch -Np1 -i ../asymptote-2.32-ghostscript_fix-1.patch && ./configure --prefix=/opt/texlive/2014 \ --bindir=/opt/texlive/2014/bin/$TEXARCH \ --datarootdir=/opt/texlive/2014 \ --libdir=/opt/texlive/2014/texmf-dist \ --mandir=/opt/texlive/2014/texmf-dist/doc/man && make
To test the results, issue: make check.
Now, as the root
user:
make install
--prefix=, --bindir=, --datarootdir=,
--infodir=, --mandir= ...
: these switches ensure that
the files installed from source will overwrite any corresponding
files previously installed by install-tl-unx so that the alternative methods
of installing texlive are
consistent..
--libdir=/opt/texlive/2014/texmf-dist;
:
This parameter ensures that the asymptote
directory will similarly overwrite any
files installed by install-tl-unx.
Last updated on 2015-02-27 16:25:31 -0800


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| SUMMARY: NESTED | FIELD | CONSTR | METHOD | DETAIL: FIELD | CONSTR | METHOD |
public interface Task<T,E>
Tasks can only be created through asynchronous method calls. The generic
parameter T
denotes the type of the object that generated this
task. Note that T
cannot be specified as
T extends SagaObject
because factories can also generate tasks
and factories are not Saga objects. The generic parameter E
denotes the type of the return value of the asynchronous method call.
| Field Summary | |
|---|---|
static String |
TASK_STATE
Metric name: fires on task state change, and has the literal value of the task state enumeration. |
| Fields inherited from interface org.ogf.saga.SagaObject |
|---|
NO_WAIT, WAIT_FOREVER |
| Method Summary | |
|---|---|
void |
cancel()
Cancels the asynchronous operation. |
void |
cancel(float timeoutInSeconds)
Cancels the asynchronous operation. |
T |
getObject()
Gets the object from which the task was created. |
E |
getResult()
Obtains the result of the asynchronous method call. |
State |
getState()
Gets the state of the task. |
void |
rethrow()
Throws any exception a failed task caught. |
void |
run()
Starts the asynchronous operation. |
void |
waitFor()
Waits for the task end up in a final state. |
boolean |
waitFor(float timeoutInSeconds)
Waits for the task to end up in a final state. |
| Methods inherited from interface org.ogf.saga.SagaObject |
|---|
clone, getId, getSession |
| Methods inherited from interface org.ogf.saga.monitoring.Monitorable |
|---|
addCallback, getMetric, listMetrics, removeCallback |
| Methods inherited from interface java.util.concurrent.Future |
|---|
cancel, get, get, isCancelled, isDone |
| Field Detail |
|---|
static final String TASK_STATE
| Method Detail |
|---|
void run() throws NotImplementedException, IncorrectStateException, TimeoutException, NoSuccessException
NotImplementedException
- is thrown if the implementation does not provide an
implementation of this method.
TimeoutException
- is thrown when a remote operation did not complete successfully
because the network communication or the remote service timed
out.
IncorrectStateException
- is thrown when the task is not in NEW state.
NoSuccessException
- is thrown when the operation was not successfully performed,
and none of the other exceptions apply.void waitFor() throws NotImplementedException, IncorrectStateException, TimeoutException, NoSuccessException
wait
, for Java the name needs to be
changed slightly.
NotImplementedException
- is thrown if the implementation does not provide an
implementation of this method.
TimeoutException
- is thrown when a remote operation did not complete successfully
because the network communication or the remote service timed
out.
IncorrectStateException
- is thrown when the task is in NEW state.
NoSuccessException
- is thrown when the operation was not successfully performed,
and none of the other exceptions apply.boolean waitFor(float timeoutInSeconds) throws NotImplementedException, IncorrectStateException, TimeoutException, NoSuccessException
wait
, for Java the name needs
to be changed slightly.
timeoutInSeconds
- maximum number of seconds to wait.
true
if the task is finished within the specified
time.
NotImplementedException
- is thrown if the implementation does not provide an
implementation of this method.
TimeoutException
- is thrown when a remote operation did not complete successfully
because the network communication or the remote service timed
out. Note that this is not thrown when the specified timeout expires.
In that case, false
is returned.
IncorrectStateException
- is thrown when the task is in NEW state.
NoSuccessException
- is thrown when the operation was not successfully performed,
and none of the other exceptions apply.void cancel() throws NotImplementedException, IncorrectStateException, TimeoutException, NoSuccessException
NotImplementedException
- is thrown if the implementation does not provide an
implementation of this method.
TimeoutException
- is thrown when a remote operation did not complete successfully
because the network communication or the remote service timed
out.
IncorrectStateException
- is thrown when the task is in NEW state.
NoSuccessException
- is thrown when the operation was not successfully performed,
and none of the other exceptions apply.void cancel(float timeoutInSeconds) throws NotImplementedException, IncorrectStateException, TimeoutException, NoSuccessException
timeoutInSeconds
- maximum time for freeing resources.
NotImplementedException
- is thrown if the implementation does not provide an
implementation of this method.
TimeoutException
- is thrown when a remote operation did not complete successfully
because the network communication or the remote service timed
out.
IncorrectStateException
- is thrown when the task is in NEW state.
NoSuccessException
- is thrown when the operation was not successfully performed,
and none of the other exceptions apply.State getState() throws NotImplementedException, TimeoutException, NoSuccessException
NotImplementedException
- is thrown if the implementation does not provide an
implementation of this method.
TimeoutException
- is thrown when a remote operation did not complete successfully
because the network communication or the remote service timed
out.
NoSuccessException
- is thrown when the operation was not successfully performed,
and none of the other exceptions apply.E getResult() throws NotImplementedException, IncorrectURLException, BadParameterException, AlreadyExistsException, DoesNotExistException, IncorrectStateException, PermissionDeniedException, AuthorizationFailedException, AuthenticationFailedException, TimeoutException, SagaIOException, NoSuccessException
waitFor()
.
If the task is in State.FAILED
state after a
waitFor()
, a rethrow()
is called.
IncorrectURLException
- is thrown when the failed task threw it.
NoSuccessException
- is thrown when the failed task threw it.
BadParameterException
- is thrown when the failed task threw it.
IncorrectStateException
- is thrown when the failed task threw it, or when the task is in
State.NEW
or State.CANCELED
state.
PermissionDeniedException
- is thrown when the failed task threw it.
AuthorizationFailedException
- is thrown when the failed task threw it.
AuthenticationFailedException
- is thrown when the failed task threw it.
NotImplementedException
- is thrown when the failed task threw it, or when
getResult()
is not implemented.
AlreadyExistsException
- is thrown when the failed task threw it.
DoesNotExistException
- is thrown when the failed task threw it.
TimeoutException
- is thrown when the failed task threw it.
SagaIOException
- is thrown when the failed task threw it.T getObject() throws NotImplementedException, TimeoutException, NoSuccessException
NotImplementedException
- is thrown if the implementation does not provide an
implementation of this method.
TimeoutException
- is thrown when a remote operation did not complete successfully
because the network communication or the remote service timed
out.
NoSuccessException
- is thrown when the operation was not successfully performed,
and none of the other exceptions apply.void rethrow() throws NotImplementedException, IncorrectURLException, AuthenticationFailedException, AuthorizationFailedException, PermissionDeniedException, BadParameterException, IncorrectStateException, AlreadyExistsException, DoesNotExistException, TimeoutException, NoSuccessException, SagaIOException
State.FAILED
. Rethrow can be called multiple times,
always throwing the same exception.
IncorrectURLException
- is thrown when the failed task threw it.
NoSuccessException
- is thrown when the failed task threw it.
BadParameterException
- is thrown when the failed task threw it.
IncorrectStateException
- is thrown when the failed task threw it.
PermissionDeniedException
- is thrown when the failed task threw it.
AuthorizationFailedException
- is thrown when the failed task threw it.
AuthenticationFailedException
- is thrown when the failed task threw it.
NotImplementedException
- is thrown when the failed task threw it.
AlreadyExistsException
- is thrown when the failed task threw it.
DoesNotExistException
- is thrown when the failed task threw it.
TimeoutException
- is thrown when the failed task threw it.
SagaIOException
- is thrown when the failed task threw it.
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| PREV CLASS NEXT CLASS | FRAMES NO FRAMES | ||||||||
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Remoting classes for Web Services via JAX-WS (the successor of JAX-RPC), as included in Java 6 and Java EE 5. This package provides proxy factories for accessing JAX-WS services and ports.


Israel house damaged by rocket barrage from Gaza
by Melissa LeonA house in southern Israel was damaged Friday after Palestinian militants in Gaza fired a series of rockets across the volatile border, the second such attack in 24 hours.
The Israel Defense Forces (IDF) said the Iron Dome missile defense system intercepted seven rockets that were fired from the Gaza Strip. They posted raw footage of the intercepts to Twitter, as well as a photo of the damaged home. There were no reports of injuries.
Israeli police said shrapnel damaged the house in Sderot town and video footage showed a car near the structure with windows blown out by debris.
Minutes after the initial launch, three more rockets were fired from Gaza. Israeli forces said they intercepted one of those rockets.
"So far: 10 rockets have been fired from Gaza at Israeli civilians," the IDF said. "Eight of those rockets were intercepted by the Iron Dome System."
In response, the IDF said fighter jets had begun "striking terror targets in Gaza."
No Palestinian groups claimed responsibility for the rocket fire, but Israel blames Gaza's Hamas rulers for any fire from the enclave. The Islamic militant group says it's committed to an unofficial truce deal, but rogue groups that include Iranian-backed Islamic Jihad and smaller Salafist factions sometimes act independently of Hamas.
Earlier Friday, Gaza health officials claimed Palestinians were injured by live fire during protests along the border fence with Israel. Hamas launched the weekly demonstrations last year against the 12-year-old Israeli-Egyptian blockade.
THREE HAMAS POLICEMEN KILLED IN RARE ATTACKS WITH GAZA IN 'STATE OF ALERT'
The Israeli military said Thursday it struck two Hamas military posts in northern Gaza after a single rocket was fired from the area toward Israel. There were no reports of injuries on either side following the attacks.
CLICK HERE FOR THE FOX NEWS APP
International mediators, including Egypt, Qatar and the United Nations, oversee the cease-fire between Hamas and Israel to lower the intensity of the protests and pacify the border area in exchange for humanitarian projects in the seaside enclave. Hamas charges Israel of not honoring the agreement by slowing the implementation of the deal.
The Associated Press contributed to this story.


About Me
My name is Eugene and I am on my great journey to become the best web developer in the North. Ok, just to keep it real, one of the best! I am anxious and grateful for any new programming challenges coming my way, I am ready to solve new problems but also make new mistakes, fixing them by the end of the day though. I have a lot of friends and family members working in the IT industry, in different areas and positions. I do want to expand my network meet more professionals alike learn from them and share some knowledge and experience.
I am always looking for new and exciting projects, to learn and develop new skills. I did participate in developing and creating numerous websites almost 15 years ago, worked in the industry for a couple of years but had a big carrier change. I did work in managing positions in the construction industry for a long time. I learned almost everything I could in the new trade and finally decided to come back to do something I love and enjoy. The job that keeps my mind curious and my brain working. I am happy to see how the technology evolved in past 10 years. Becoming an excellent web developer is the most exciting and rewarding experience, I am anxious to learn and adopt new skills.
I do hope I can get involved and new and challenging projects sooner than later. And I know that I can be a great addition to any project, I can work in a group or individually, I also can make an amazing coffee which is a skill I mastered for years. I’m the ideal candidate what are you waiting for?... Feel free to contact me.


Dear Sir, Compliment of the day to you,I am Mr.Steven Taha of First National Bank(FNB) in South Africa. I am in need to contact you on a personal basis,I have a late client who left a substantial amount in foreign exchange with my bank,and I am his account officer up until now having sought for his next of kin for the past one year I have been mandated to produce a next of kin within a provisional time of 30th days or risk national treasury confiscated of this fund. Sir,you bear the same last name as my late client,I therefore think we can do business, The amount we are looking at is eight million six hundred thousand dollars(8.6M USD). Please contact me for more details. I consider this discussion strictly between us for I am still a management staff of this bank. Please get in touch with me through the above email for more details. Yours Sincerely, Steven Taha.


Regular workshops led by industry experts on a variety of topics
Work in small groups and present investment ideas to our panel- have a say in how our funds are managed
We host a variety of networking opportunities with sponsor firms and guest speakers
We are a society started by two University of Cambridge students with a passion for investment management. We invest funds accrued through sponsorships, partnerships, and donations using a mixture of fundamental and technical analysis. We donate 20% of profits made to charity (up to £100,000).


{% extends "bottleAnalytics/base.html" %} {% block title %}Index{% endblock %} {% block description %}Welcome to your Smart Bottle!{% endblock %} {% block content %} {% if score == 'E' %}
No data available.
Start using your bottle to receive statistics!
{% else %}Your score is:
{{ score }}
{% if score == 'O' %} Your water intake seems higher than expected. It's probably not cause for alarm, and just an error our estimation, but make sure to keep in mind that water overdosing is a real danger. {% elif score == 'A' %} Your water intake is right where it's expected! Keep up being healthy. {% elif score == 'B' %} Your water intake seems slightly lower than expected. It's probably not cause for alarm, and just an error our estimation, but make sure to keep alert for dehydration symptoms. {% elif score == 'C' %} Your water intake seems lower than expected. It might not be cause for alarm, but make sure to keep alert for dehydration symptoms. {% elif score == 'D' %} Your water intake seems a lot lower than expected. Try to remind yourself to drink more water trough-out the day (maybe by keeping the bottle with you at all times), and make sure to keep alert for dehydration symptoms. {% endif %}


This tutorial assumes you have completed Parts 1-3, since it will build off of the same epilogue. For this tutorial, we'll be adding some particle effects.
Particle effects are sprites that are controlled via a physics engine rather than key frame animation..
Fog Effect
To add some mystique to the scene, we'll be adding some smoke particles.- Open up your ending to Scene: Blue. Select the first directive (Add sprite (florina)).
- Add an "Add Emitter" directive. Emitters are invisible objects that create particles.
- Set the ID to "smoke machine".
- Emitters have no graphical representation in the game, but in the editor are represented by a circle with an arrow pointing in the direction of the emitter.
- Drag the emitter to somewhere around Florina's foot level, around (X: 1250, Y: 1350).
- With the cursor on the outside of one of the emitter's corners so that a curved arrow appears, drag to rotate the emitter. Rotate it to point left. Alternatively, manually set the rotation to -90.
- We need to assign a sprite to the emitter. Click ... in the Source field and choose ep_fog.png from Florina's folder.
- Press "Play selected animation" to preview the emitter. Every second, a fog sprite appears and fades away.
- The fog is sideways because the emitter is rotated sideways. Check "Ignore rotation" in the Property Table. Now the fog is facing the right direction.
- We want the fog to move across the scene.
- Emitters have dozens of properties compared to other directives. Find Speed and set the fields to 200 and 250, meaning each particle will move between 200-250 pixels per second.
- Assuming you still have "Play selected animation" enabled, the fog begins moving left but fades away too quickly.
- Set Particle Life (s): 15.00
- Set Start Scale X: 2.00 to 3.00. When both fields are provided, every fog particle will use a random scale between 2 and 3.
- The fog just looks like one long line, so let's add some variance to the direction it moves. Set Angle to 5, meaning each particle will be spit out between -5 and 5 degress from the direction the emitter is facing.
- It's still too thick, so set Start Alpha: 50 to 60.
- This is looking pretty decent now, so let's do it again on the other side. Select Add emitter (smoke machine) in the Scene View and press the Duplicate button (Ctrl+D).
- Name the duplicate "smoke machine 2".
- Change the following properties, keeping the old values in all others:
- X: -1680
- Rotation: 90
- Play through the scene and admire the foggy ground. So mysterious!
Sparks
Particles don't need images. We'll add a spark effect to the orb explosion to demonstrate another use for particles.- Select the Add sprite (flash) directive in the Scene View and press Ctrl+3 to add an "Add Emitter" directive after it. Remember, it's worth learning the keyboard shortcut for common directives.
- Name the emitter's ID: "sparks".
- Drag this emitter to the middle of the orb, (X: -240, Y: 1280).
- Click "Preview selected animation" so you can tweak the emitter parameters and get live feedback.
- Set Width and Height to 10.
- Set Speed: 800 to 900
- Go down to the Start Color and End Color properties and fill them out with yellow and orange colors so that the particles take a random color between yellow and orange. The particles will start flying into the sky.
- Bump the Rate up to 5.00 so we can see the randomness more easily.
- Set Particle Life (s): 1.5 to 2.
- Set Force Y: 1000. This adds a gravity effect to the sparks.
- Set Angle: 90.
- These settings give a good enough effect for particles flying out of the orb in random directions and falling to the ground, but we don't want to emit particles constantly.
- Set the Rate to 0 to stop creating particles completely.
- Stop previewing the animation.
As you may have seen already, using lots of particle effects can be very taxing on performance, so use them sparingly.
Burst Particles
As mentioned in the previous section, we don't want an endless stream of sparks, so we'll use a burst emission.- Add a new directive of type "Emit Particle".
- Assign it the ID of the emitter: "sparks."
- Set Count: to 100 to generate 100 particles at once.
- Preview the animation to see this effect. You should see a semi-circle of sparks flying out of the orb.
- This isn't exactly realistic, so let's lower the number and add more bursts.
- Set Count: to 20.
- Duplicate the "Emit Particle" directive. (Ctrl+D or the Duplicate button in the Scene View toolbar).
- On the duplicate, set the delay to 0.10.
- Duplicate it again and set the delay to 0.20.
- Play through the scene. Good enough!
Animating Emitters
Emitters can be animated just like sprites. We'll use this knowledge to make a trail of sparks behind the orb as it rolls.- Click the sparks emitter directive in the scene view and copy it (Copy button or Ctrl+C).
- Click the Camera directive in the scene view and paste (Ctrl+V) to insert the new emitter directly after the camera animation directive.
- Name this emitter "trail".
- Move it behind the orb's starting point (X: -1450, Y: 1375).
- Set the following properties, clearing out all others (use the eraser button next to the field).
- Rotation: -33
- Rate: 100
- Angle: 5
- Speed: 300 to 500
- Force Y: 500
- Start Color: Use current, duplicated values
- End Color: Use current, duplicated values
- Start Alpha: 100
- End Alpha: 0
- Add an "Animate Sprite/Emitter" directive and link it to ID "trail."
- Set Time: 1.
- Move the emitter to X: -80.
- Set Delay: 0.5. We want this to move along with the orb, and the orb's animation has a delay of 0.5.
- We don't want to keep creating a trail after it stops moving, so add a "Remove Sprite/Emitter" directive.
- Set the ID of the Remove directive to trail so that it removes the trail emitter.
- Set Delay: 1.50. We want to remove the emitter once the orb bounces into the air, which is 1 second into the animation, which has a delayed start of 0.50 seconds, so (1 + 0.50 = 1.50).
Final Review
That's it. You've completed an epilogue that covers all the basics: scenes, transitions, camera movement, animations, fades, and particle effects. Try it out in the game one more time to verify everything looks good.
There are several parameters for particles that were not covered in this tutorial.


Directions: In this section, you will hear 8 short conversations and 2 long conversations. At the end of each conversation, one or more questions will be asked about what was said. Both the conversation and the questions will be spoken only once. After each question there will be a pause. During the pause, you must read the four choices marked A), B), C) and D), and decide which is the best answer. Then mark the corresponding letter on Answer Sheet 1 with a single line through the centre.


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class: center, middle, inverse, title-slide # Scientific studies, confounding,
and Simpson’s paradox
😖 --- layout: true
  class website
 --- class: center, middle # Scientific studies --- ## Scientific studies - Observational - Collect data in a way that does not interfere with how the data arise ("observe") - Only establish an association - Experimental - Randomly assign subjects to treatments - Establish causal connections .question[ Design a study comparing average energy levels of people who do and do not exercise -- both as an observational study and as an experiment. ] --- ## Study: Bfast cereal keeps girls slim .small[ Girls who ate breakfast of any type had a lower average body mass index, a common obesity gauge, than those who said they didn't. The index was even lower for girls who said they ate cereal for breakfast, according to findings of the study conducted by the Maryland Medical Research Institute with funding from the National Institutes of Health (NIH) and cereal-maker General Mills. [...] The results were gleaned from a larger NIH survey of 2,379 girls in California, Ohio, and Maryland who were tracked between the ages of 9 and 19. [...] As part of the survey, the girls were asked once a year what they had eaten during the previous three days. ] .question[ What is the explanatory and what is the response variable? ] .footnote[ Souce: [Study: Cereal Keeps Girls Slim](https://www.cbsnews.com/news/study-cereal-keeps-girls-slim/), Retrieved Sep 13, 2018. ] --- ### 3 possible explanations -- - Eating breakfast causes girls to be slimmer -- - Being slim causes girls to eat breakfast -- - A third variable is responsible for both -- a **confounding** variable: an extraneous variable that affects both the explanatory and the response variable, and that make it seem like there is a relationship between them --- ## Correlation != causation

 .center[ ![](img/xkcdcorrelation.png) ]

 .footnote[ Randall Munroe CC BY-NC 2.5 http://xkcd.com/552/ ] --- ## Studies and conclusions ![](img/random_sample_assign_grid.png) --- class: center, middle # Conditional probability --- ## Conditional probability **Notation**: `\(P(A | B)\)`: Probability of event A given event B - What is the probability that it be unseasonably warm tomorrow? - What is the probability that it be unseasonably warm tomorrow, given that it it was unseasonably warm tomorrow? --- .question[ A January 2018 SurveyUSA poll asked 500 randomly selected Californians whether they are familiar with the DREAM act. The distribution of the responses by age category are shown below. What percent of **all respondents** are very familiar with the DREAM act? ]
 .pull-left[ | | 18 - 49 | 50+ | Total | |------------|---------|-----|-------| | Very | 90 | 32 | 122 | | Somewhat | 125 | 86 | 211 | | Not very | 56 | 33 | 89 | | Not at all | 36 | 24 | 60 | | Not sure | 9 | 9 | 18 | | Total | 316 | 184 | 500 | ] -- .pull-right[ `\(P(Very) = \frac{122}{500} = 0.244\)` ]
 .footnote[ Source: [SurveyUSA News Poll 23754](http://www.surveyusa.com/client/PollReport.aspx?g=783743b0-efc1-4b67-9201-58352a8f61f1) ] --- .question[ A January 2018 SurveyUSA poll asked 500 randomly selected Californians whether they are familiar with the DREAM act. The distribution of the responses by age category are shown below. What percent of **respondents who are 18 - 49 years old** are very familiar with the DREAM act? ]
 .pull-left[ | | 18 - 49 | 50+ | Total | |------------|---------|-----|-------| | Very | 90 | 32 | 122 | | Somewhat | 125 | 86 | 211 | | Not very | 56 | 33 | 89 | | Not at all | 36 | 24 | 60 | | Not sure | 9 | 9 | 18 | | Total | 316 | 184 | 500 | ] -- .pull-right[ `\(P(Very~|~18-49) = \frac{90}{316} = 0.285\)` ] --- .question[ A January 2018 SurveyUSA poll asked 500 randomly selected Californians whether they are familiar with the DREAM act. The distribution of the responses by age category are shown below. What percent of **respondents who are 50+ years old** are very familiar with the DREAM act? ]
 .pull-left[ | | 18 - 49 | 50+ | Total | |------------|---------|-----|-------| | Very | 90 | 32 | 122 | | Somewhat | 125 | 86 | 211 | | Not very | 56 | 33 | 89 | | Not at all | 36 | 24 | 60 | | Not sure | 9 | 9 | 18 | | Total | 316 | 184 | 500 | ] -- .pull-right[ `\(P(Very~|~50+) = \frac{32}{184} = 0.173\)` ] --- .question[ Given that - `\(P(Very) = \frac{122}{500} = 0.244\)` - `\(P(Very~|~18-49) = \frac{90}{316} = 0.285\)` - `\(P(Very~|~50+) = \frac{32}{184} = 0.173\)` does there appear to be a relationship between age and familiarity with the DREAM act? Explain your reasoning. ] --
 .question[ Could there be another variable that explains this relationship? ] --- ## Independence .question[ Inspired by the previous example and how we used the conditional probabilities to make conclusions, come up with a definition of independent events. If easier, you can keep the context limited to the example (independence/dependence of familiarity with the DREAM act and age), but try to push yourself to make a more general statement. ] --- class: center, middle # Simpson's paradox --- ## Relationships between variables - Bivariate relationship: Fitness `\(\rightarrow\)` Heart health - Multivariate relationship: Calories + Age + Fitness `\(\rightarrow\)` Heart health --- ## Simpson's paradox - Sometimes, the omission of an explanatory variable can have an effect on the correlation between another explanatory variable and a response variable. In other words, the inclusion of a third variable in the analysis can change the apparent relationship between the other two variables. ![](img/simpsons_paradox.jpeg) --- ## Berkeley admission data - Study carried out by the graduate Division of the University of California, Berkeley in the early 70’s to evaluate whether there was a sex bias in graduate admissions. - The data come from six departments. For confidentiality we'll call them A-F. - We have information on whether the applicant was male or female and whether they were admitted or rejected. - First, we will evaluate whether the percentage of males admitted is indeed higher than females, overall. Next, we will calculate the same percentage for each department.  Hint: Calculate the following probabilities: `\(P(Admit | Male)\)` and `\(P(Admit | Female)\)`. ] ```r ucb_admit %>% count(Gender, Admit) ``` ``` ## # A tibble: 4 x 3 ## Gender Admit n ## <chr> <chr> <int> ## 1 Female Admitted 557 ## 2 Female Rejected 1278 ## 3 Male Admitted 1198 ## 4 Male Rejected 1493 ``` --- ## Overall gender distribution .question[ What type of visualization would be appropriate for representing these data? ] ```r ucb_admit %>% count(Gender, Admit) %>% group_by(Gender) %>% mutate(prop_admit = n / sum(n)) ``` ``` ## # A tibble: 4 x 4 ## # Groups: Gender [2] ## Gender Admit n prop_admit ## <chr> <chr> <int> <dbl> ## 1 Female Admitted 557 0.304 ## 2 Female Rejected 1278 0.696 ## 3 Male Admitted 1198 0.445 ## 4 Male Rejected 1493 0.555 ``` --- ## Overall gender distribution ```r ggplot(ucb_admit, mapping = aes(x = Gender, fill = Admit)) + geom_bar(position = "fill") + labs(y = "", title = "Admit by gender") ```  --- ## Gender distribution, by department .question[ What can you say about the by department gender distribution? ] ```r ucb_admit %>% count(Dept, Gender, Admit) # ---> ``` ``` ## # A tibble: 24 x 4 ## Dept Gender Admit n ## <chr> <chr> <chr> <int> ## 1 A Female Admitted 89 ## 2 A Female Rejected 19 ## 3 A Male Admitted 512 ## 4 A Male Rejected 313 ## 5 B Female Admitted 17 ## 6 B Female Rejected 8 ## 7 B Male Admitted 353 ## 8 B Male Rejected 207 ## 9 C Female Admitted 202 ## 10 C Female Rejected 391 ## # ... with 14 more rows ``` --- .small[ ```r ucb_admit %>% count(Dept, Gender, Admit) %>% print(n = 24) ``` ``` ## # A tibble: 24 x 4 ## Dept Gender Admit n ## <chr> <chr> <chr> <int> ## 1 A Female Admitted 89 ## 2 A Female Rejected 19 ## 3 A Male Admitted 512 ## 4 A Male Rejected 313 ## 5 B Female Admitted 17 ## 6 B Female Rejected 8 ## 7 B Male Admitted 353 ## 8 B Male Rejected 207 ## 9 C Female Admitted 202 ## 10 C Female Rejected 391 ## 11 C Male Admitted 120 ## 12 C Male Rejected 205 ## 13 D Female Admitted 131 ## 14 D Female Rejected 244 ## 15 D Male Admitted 138 ## 16 D Male Rejected 279 ## 17 E Female Admitted 94 ## 18 E Female Rejected 299 ## 19 E Male Admitted 53 ## 20 E Male Rejected 138 ## 21 F Female Admitted 24 ## 22 F Female Rejected 317 ## 23 F Male Admitted 22 ## 24 F Male Rejected 351 ``` ] --- ## Gender distribution, by department .question[ What type of visualization would be appropriate for representing these data? ] .small[ ```r ucb_admit %>% count(Dept, Gender, Admit) %>% group_by(Dept, Gender) %>% mutate(Perc_Admit = n / sum(n)) %>% filter(Admit == "Admitted") ``` ``` ## # A tibble: 12 x 5 ## # Groups: Dept, Gender [12] ## Dept Gender Admit n Perc_Admit ## <chr> <chr> <chr> <int> <dbl> ## 1 A Female Admitted 89 0.824 ## 2 A Male Admitted 512 0.621 ## 3 B Female Admitted 17 0.68 ## 4 B Male Admitted 353 0.630 ## 5 C Female Admitted 202 0.341 ## 6 C Male Admitted 120 0.369 ## 7 D Female Admitted 131 0.349 ## 8 D Male Admitted 138 0.331 ## 9 E Female Admitted 94 0.239 ## 10 E Male Admitted 53 0.277 ## 11 F Female Admitted 24 0.0704 ## 12 F Male Admitted 22 0.0590 ``` ] --- ## Gender distribution, by department ```r ggplot(ucb_admit, mapping = aes(x = Gender, fill = Admit)) + geom_bar(position = "fill") + facet_grid(. ~ Dept) + labs(x = "Gender", y = "", fill = "Admission", title = "Admit by gender by department") ```


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Gender:
Male
Female
Education:
Graduate School
University
High School
Others
Age:
Marital Status:
Single
Married
Divorced
Others
Loan Amount:
History of Past Six Months Payment
First Month Bill:
Amount Paid in First Month:
Repayment Status for First Month:
No Consumption
Paid in Full
Revolving Credit
Delayed for 1 Month
Delayed for 2 Months
Delayed for 3 Months
Delayed for 4 Months
Delayed for 5 Months
Delayed for 6 Months
Delayed for 7 Months
Delayed for 8 Months
Delayed for 9 Months
Second Month Bill:
Amount Paid in Second Month:
Status for Second Month:
No Consumption
Paid in Full
Revolving Credit
Delayed for 1 Month
Delayed for 2 Months
Delayed for 3 Months
Delayed for 4 Months
Delayed for 5 Months
Delayed for 6 Months
Delayed for 7 Months
Delayed for 8 Months
Delayed for 9 Months
Third Month Bill:
Amount Paid in Third Month:
Status for Third Month:
No Consumption
Paid in Full
Revolving Credit
Delayed for 1 Month
Delayed for 2 Months
Delayed for 3 Months
Delayed for 4 Months
Delayed for 5 Months
Delayed for 6 Months
Delayed for 7 Months
Delayed for 8 Months
Delayed for 9 Months
Fourth Month Bill:
Amount Paid in Fourth Month:
Status for Fourth Month:
No Consumption
Paid in Full
Revolving Credit
Delayed for 1 Month
Delayed for 2 Months
Delayed for 3 Months
Delayed for 4 Months
Delayed for 5 Months
Delayed for 6 Months
Delayed for 7 Months
Delayed for 8 Months
Delayed for 9 Months
Fifth Month Bill:
Amount Paid in Fifth Month:
Status for Fifth Month:
No Consumption
Paid in Full
Revolving Credit
Delayed for 1 Month
Delayed for 2 Months
Delayed for 3 Months
Delayed for 4 Months
Delayed for 5 Months
Delayed for 6 Months
Delayed for 7 Months
Delayed for 8 Months
Delayed for 9 Months
Sixth Month Bill:
Amount Paid in Sixth Month:
Status for Sixth Month:
No Consumption
Paid in Full
Revolving Credit
Delayed for 1 Month
Delayed for 2 Months
Delayed for 3 Months
Delayed for 4 Months
Delayed for 5 Months
Delayed for 6 Months
Delayed for 7 Months
Delayed for 8 Months
Delayed for 9 Months
Predict


DLL Injection Using CreateRemoteThread
Primarily two situations- Inject DLL into a running process
- Create a process and Inject DLL into it.
CreateRemoteThread API: "Creates a thread that runs in the virtual address space of another process"
HANDLE WINAPI CreateRemoteThread(
__in HANDLE hProcess, ?-------- 1
__in LPSECURITY_ATTRIBUTES lpThreadAttributes,
__in SIZE_T dwStackSize,
__in LPTHREAD_START_ROUTINE lpStartAddress, ?---------2
__in LPVOID lpParameter, ?---------3
__in DWORD dwCreationFlags, ?---------4
__out LPDWORD lpThreadId
);
#1 – handle to the process in which the thread is to be created.
#2 – A pointer to function or entry point of the thread that is going to be executed
#3 – parameters to the function
#4 – Creation state of the thread
Kernel32.dll exprot LoadLibrary API to load a DLL at run time and also kernel32.dll is loaded by default into every process. Pass LoadLibrary address to LPTHREAD_START_ROUTINE and LoadLibrary parameter to to LPVOID. This will execute LoadLibrary with its parameter into another process.
This requires the parameter to LoadLibrary must be in the target process. If we use LoadLibrary (#2) with "mydll.dll" (#3) as parameter to LoadLibrary, then the name "mydll.dll" must be in our target process.
Windows provides an API to do that. We can write into any process using WriteProcessMemory and allocate space into another process using VirtualAllocEx. So:
- Use OpenProcess or CreateProcess API to get the handle of our target process
- Use VirtualAllocEx to allocate space into our target process
- Use WriteProcessMemory to write our DLL name into our target process
- Use CreateRemoteThread to inject our DLL into our target process
Injecting into a system process requires se_debug privilege.
Method 2 requires creating a process and then injecting into it.
BOOL WINAPI CreateProcess(
__in_opt LPCTSTR lpApplicationName,
__inout_opt LPTSTR lpCommandLine,
__in_opt LPSECURITY_ATTRIBUTES lpProcessAttributes,
__in_opt LPSECURITY_ATTRIBUTES lpThreadAttributes,
__in BOOL bInheritHandles,
__in DWORD dwCreationFlags, ?-------- 1
__in_opt LPVOID lpEnvironment,
__in_opt LPCTSTR lpCurrentDirectory,
__in LPSTARTUPINFO lpStartupInfo,
__out LPPROCESS_INFORMATION lpProcessInformation
);
dwCreationFlags is the important parameter. It is used to control the creation of a process. We can set it to "CREATE_SUSPENDED" to create a process in suspended mode. With CREATE_SUSPENDED, the execution will stop at the entry point of the thread. We can start it again with ResumeThread API.
Process is: - Create Process in suspended state
- Inject DLL into the process using above steps
- Resume the process


Baloo Bhaina
Grumpy wizards make toxic brew for the evil Queen and Jack.
One morning, when Gregor Samsa woke from troubled dreams, he found himself transformed in his bed into a horrible vermin. He lay on his armour-like back, and if he lifted his head a little he could see his brown belly, slightly domed and divided by arches into stiff sections.
"The bedding was hardly able to cover it and seemed ready to slide off any moment. His many legs, pitifully thin compared with the size of the rest of him, waved about helplessly as he looked."
One morning, when Gregor Samsa woke from troubled dreams, he found himself transformed in his bed into a horrible vermin. He lay on his armour-like back, and if he lifted his head a little he could see his brown belly, slightly domed and divided by arches into stiff sections.
 / . , : "
WHITE on BLACK
One morning, when Gregor Samsa woke from troubled dreams, he found himself transformed in his bed into a horrible vermin. He lay on his armour-like back, and if he lifted his head a little he could see his brown belly, slightly domed and divided by arches into stiff sections.
One morning, when Gregor Samsa woke from troubled dreams, he found himself transformed in his bed into a horrible vermin. He lay on his armour-like back, and if he lifted his head a little he could see his brown belly, slightly domed and divided by arches into stiff sections.
One morning, when Gregor Samsa woke from troubled dreams, he found himself transformed in his bed into a horrible vermin. He lay on his armour-like back, and if he lifted his head a little he could see his brown belly, slightly domed and divided by arches into stiff sections.