2. Nosetests¶
Nosetest is a utility to unit test python code.
We use nosetests and not __main__
to test all functionality so they can me
automatically run and reports can be generated. A project that does not have a
sufficient number of tests to make sure the module works can not be accepted.
2.1. Installation¶
The nose module can be installed with the help of pip utility
$ pip install nose
This will install the nose module in the current Python distribution as well
as a nosetest.exe, which means the test can be run using this utility as well as using –m
switch.
All nose tests are included in the folder tests
.
+cm
+ cloudmesh
+ tests
- test_01_topic1.py
- test_02_topic2.py
- test_03_topic2.py
Note: That at this time we have not yet introduced the order of the tests by introducing numbers in the tests.
2.2. Test Specification and Execution¶
A simple example for a test is
Note that all test python programs have specific function names of the form
def test_number_topic (self)
The number is defined to order them and is typically something like 001
, note
the leading spaces. The topic is a descriptive term on what we test.
Each test starts with a setup function def setup(self)
we declare a setup that
is run prior to each test being executed. Other functions will use the setup
prior to execution.
A function includes one or multiple asserts that check if a particular test succeeds and reports this to nose to expose the information if a tess succeds or fails, when running it
Note that all nosetest functions start with a HEADING()
in the body which conveniently
prints a banner with the function name and thus helps in debugging in case of
errors.
Invocation is simply done with the comment lines you see on top that you will include.
in our case the test is called test_key.py so we include on the top
#############################################
# nosetest -v --nopature
# nosetests -v --nocapture tests/test_key.py
#############################################
You can than execute the test with either command.
The following is our simple nosetests for key. THe file is stored at
tests/test_key.py
First, we import the needed classes and methods we like to test. We define a class, and than we define the methods. such as the setup and the actual tests.
your run it with
$ nosetests -v --nocapture tests/test_key.py
############################################
# nosetest -v --nocapture
# nosetests tests/test_key.py
# nosetests -v --nocapture tests/test_key.py
############################################
from pprint import pprint
from cloudmesh.common.Printer import Printer
from cloudmesh.common.util import HEADING
from cloudmesh.management.configuration.SSHkey import SSHkey
from cloudmesh.management.configuration.config import Config
class TestKey:
def setup(self):
self.sshkey = SSHkey()
def test_01_key(self):
HEADING()
pprint(self.sshkey)
print(self.sshkey)
print(type(self.sshkey))
pprint(self.sshkey.__dict__)
assert self.sshkey.__dict__ is not None
def test_02_git(self):
HEADING()
config = Config()
username = config["cloudmesh.profile.github"]
print ("Username:", username)
keys = self.sshkey.get_from_git(username)
pprint (keys)
print(Printer.flatwrite(keys,
sort_keys=("name"),
order=["name", "fingerprint"],
header=["Name", "Fingerprint"])
)
assert len(keys) > 0
The output in with nosetests tests/test_key.py
does not provide any detail,
but just reports if tests fail or succeed.
----------------------------------------------------------------------
Ran 2 tests in 0.457s
OK
The output with nosetests -v tests/test_key.py
results in
tests.test_key.TestName.test_01_key ... ok
tests.test_key.TestName.test_02_git ... ok
----------------------------------------------------------------------
Ran 2 tests in 1.072s
OK
During development phase you want to use nosetests -v --nocapture tests/test_key.py
WHich prints all print statements also
2.3. Timed decorator¶
In some cases you may want to use a timed decorator that limits the time a test is executed for. An example is given next:
############################################
# nosetest -v --nocapture
# nosetests tests/test_timed.py
# nosetests -v --nocapture tests/test_timed.py
############################################
class TestTimed:
@timed(1.0)
def test_10_sleep_which_fails():
time.sleep(2.0)
2.4. Test Setup¶
The setup in a class can be controlled by the following functions. We include in the print statement when they are called:
def setup(self):
print ("setup() is called before each test method")
def teardown(self):
print ("teardown() is called after each test method")
@classmethod
def setup_class(cls):
print ("setup_class()is called before any methods in this class")
@classmethod
def teardown_class(cls):
print ("teardown_class() is called after any methods in this class")
2.5. Test Timer¶
The following extension adds timers to nosetests
It is installed with
$ pip install nose-timer
It is started with the flag --with-timer
Thus,
$ nosetests -v --nocapture --with-timer tests/test_key.py
Will print the time for each test as shown in this partial output:
...
[success] 58.61% tests.test_key.TestName.test_02_git: 0.1957s
[success] 41.39% tests.test_key.TestName.test_01_key: 0.1382s
----------------------------------------------------------------------
Ran 2 tests in 0.334s
2.6. Doctests in Cloudmesh¶
Out of principal we will not create an test running doctests.
2.7. Sniffer (not tested)¶
often we make changes frequently and like to get an imediate feedback on the
changes made. For the automatic repeated execution on change we can use the tool
sniffer
.
$ sniffer -x--with-spec -x--spec-color
This will execute the nosetests upon change. To specify a specific test you can pass along the name of the python test.
To install it use
$ pip install sniffer
The manual page can be called with
$ sniffer --help
2.8. Profiling¶
Nosetest can be augmented with profiles that showcase some of the internal time spend on different functions and methods. To do so install
$ pip install nose-cprof
$ pip install cprofilev
$ pip install snakeviz
$ pip install profiling
Then call the nosetest with the additional option
$ nosetests --with-cprofile
The output will be stored by default in stats.dat
To view it use cprofilev
$ cprofilev -f stats.dat
To view it with snakeviz use
$ snakeviz -f stats.dat
To visualize the call graph we use pygraphviz. Unfortunatley it has an error and only produces png files. Thus we use a modified version and instal it from source:
cd /tmp
$ git clone git@github.com:laszewsk/pycallgraph.git
$ cd pycallgraph
$ pip install .
Next we go to the cm directory and can creat a call graph from a python program and open the output
$ pycallgraph graphviz -- tests/test_key.py
$ open pycallgraph.pdf
Another very usefule module is profiling
which can be invoked with
$ profiling tests/test_key.py
To do live profiling you can use
$ profiling live-profile tests/test_key.py


I'm a web designer / developer based in India. I have a passion for web design and love to create web apps.
I started learning to code when I was 15 years old because I wanted to help people through technolgy. Over the time, I've gained a wealth of experience designing and developing mobile and web apps.
But my best skill is actually in eating Maggie. I'm the undisputed king of it, yet I like to eat all kind of noodles


“Emotional Intelligence” is a subject of great interest to me. The phrase was coined in 1996 when I was 10 years old. Once I could understand it’s main thrust, I began noticing that the prevailing attitude toward it was one of dominantly male-gendered ignorance. For a young man to develop intelligence and vocabulary around his and others’ emotions was not a common feature of 1980’s-1990’s American society. Quite the opposite: it was hellbent on making boys “manly”, and that included preventing them from being “girly” in any way. Most of the men and boys I encountered seemed to have little useful information on the subject of emotions, and were famously averse to even discussing them.
Fortunately, I met a small handful of men and women who helped me learn to appreciate my inner world and develop the vocabulary to describe and discuss it. I am grateful to them because I now see the numerous and substantial benefits it’s brought me. I’m saddened that “being in touch with your emotions” is still such a gendered value, because a lot of people, men in particular, are missing out on a powerful and accessible approach toward life and relationships that could really improve their lot.
- What Trust Can Accomplish
I hypothesize that when we investigate any of Homo Sapiens’ daring accomplishments we find at their core: a network of individuals, sharing information and working together through the power of shared meaning and trust.
Trust is a beautiful thing. It is the ultimate outcome of Emotional Intelligence, and perhaps the most powerful factor in determining the outcome of our endeavors. When there is trust among people, their efforts align. They work together, adjusting their behaviors according to a shared objective and strategy. Work is divided, protocols defined, processes optimized.
Trust turns even a small group into a force to be reckoned with.
On the other hand, a lack of trust is marked by people working at counter-purposes. The flow of information declines, meaning and purpose diverge, all leading to inter-personal problems and possibly the undoing of previous accomplishments. The damage can happen quickly, and it can be extensive.
- Developing Trust
In a sense, developing Trust is simple. We exchange information and meaning with another person and when enough of it (plus goodwill) builds up, we cross a threshold: Trust arises, and communication takes on the character of ease and fidelity. We access more and deeper information as our pool of shared meaning increases.
While simple in theory, in practice it means making countless practical decisions about what to do, think and say, all of which require our Emotional Intelligence. When we live in a society that says men should not be in touch with their emotions or discuss their feelings, we are inviting danger to our doorstep. Where men do not learn to manage their emotions, we see soaring rates of domestic violence. Australia is a disturbing example: 1 in 4 women have experienced domestic violence at the hands of a male partner. Unsurprisingly, when it comes to social and emotional support, male-to-male networks have long been operating at below capacity. Until men decide that enough is enough and get serious about developing Emotional Intelligence as a daily objective, individuals and society will continue to suffer through all manner of horrifying problems.
Fast forward to today, I find it astonishing that men aren’t doing more to develop their Emotional Intelligence. In the rapidly shifting cultural and technological landscape of the early Information Age, Communications skills are more important than ever. We’d be doing everyone a big favor by studying and leveling up.
- What is Emotional Intelligence?
It’s definition:
The ability to:
- Recognize, understand and manage our own emotions
- Recognize, understand and influence the emotions of others
Stated so plainly, it’s hard to see why Emotional Intelligence should be so gendered. Nothing about it seems inherently male or female in the slightest. After all, everyone has emotions and everyone has relationships. Why should men be ashamed of discussing that? It doesn’t make any sense.
My own definition of Emotional Intelligence is simple:
Thinking, speaking and acting with an empathetic heart.
We yoke our powerful Homo Sapiens brain to a view that says: life (ourselves included) is full of complex, biological animals with a of great variety of unpredictable ways, and yet we are all equals in having an emotional core of wanting love and respect. So we train our actions, words and thoughts to fall in line with this understanding, all the while confidently knowing that we’re increasing our chances of better life outcomes for ourselves and others.
When we look at Emotional Intelligence through a more philosophical lens, it’s one of the great miracles of life. It connects us to the social order of the Human species. It’s the interface of our combined cultural and technological powers. When practiced by the skilled, it is an art. When studied by the scientist, it is the root of a thousand fields. And when we touch it, it touches us back, showing us the way to personal meaning and fulfillment.
Nor is it an easy thing to develop, especially if we’re working from a deficit.  Sometimes the way will be totally obscured to us.
But whatever we personally encounter, we’ll ultimately be better served by discussing our emotions and relationships openly, with men and with women. Men must seek a common purpose in building positive relationships at work and at home, and the study and practice of Emotional Intelligence would be a great way to start.


Representative Projects
Leveraging Existing Tools to Solve an HR Challenge
A very large oil and gas company organizes itself into several sub-units for purposes of organziational flexibility. Each sub-unit was managing its own HR staffing and project data in spreadsheets customized for each department. Staffing level reporting at divisional levels was inconsistent, complicating project ramp-ups and staffing planning.
We built a centralized HR management toolset with readily available tools the client already had. We standardized data gathering while maintaining flexibility for each department's needs. A centralized dashboard provides live staffing profiles for all departments. These changes result in tighter planning control for the 300+ person division.
Centralizing Management of Engineering Data for OSHA Reporting
Over the course of decades and changes in leadership, an international gasoline refiner lost control of their safety system design documents. Documentation on systems implementation, tests, and maintenance were not managed in compliance with curent regultions. Non-compliance was costing the refiner millions in fines, and the refiner faced a daunting process of managing the rehabilitation of their documentation trail.
I led a team of developers to design and deliver a web application that managed the compliance process for thousands of engineering documents. A team of 100+ engineers and operators used the system to complete compliance checklists for each document. The system provided status reports for OSHA review. Over the course of two years, the refiner regained control of documentation and celebrated a victory for compliance and safety.
Crafting a Better Way to Visualize Job Shop Data
Project planners for a large subsea wellhead equipment manufacturer juggled data between SAP and MS Project to track purchasing information, shop schedule, and vendor delivery performance. As shop orders increased, planners became increasingly overworked with data management, keeping them off the shop floor where their skills were better suited.
Using MS Project's VBA interface, I created a master Project file to centralize all purchasing, inventory, bill of meterial, and vendor PO data. We eliminated up to two hours per day of time normally spent combing through data, freeing up planners and improving shop on-time performance and quality.


Virtual Garage
Enter Name:
Enter Registration Number:
Enter Car Make:
Enter Time Taken:
Enter number of faults:
Enter Registration Number to Check in or out:
Contents of Garage
Check in
Fix
Check out
Calculate Bill


| aids | AIDS Incubation |
| bacteriuria | Treatment of Bacteriuria |
| buffalo | Buffalo Annual Snowfall |
| cdsscden | Evaluating Conditional PDF, CDF, and Quantiles of Smoothing Spline Conditional Density Estimates |
| cdssden | Evaluating Conditional PDF, CDF, and Quantiles of Smoothing Spline Density Estimates |
| clim | Average Temperatures During December 1980 Through February 1981 |
| ColoCan | Colorectal Cancer Mortality Rate in Indiana Counties |
| cpsscden | Evaluating Conditional PDF, CDF, and Quantiles of Smoothing Spline Conditional Density Estimates |
| cpssden | Evaluating Conditional PDF, CDF, and Quantiles of Smoothing Spline Density Estimates |
| cqsscden | Evaluating Conditional PDF, CDF, and Quantiles of Smoothing Spline Conditional Density Estimates |
| cqssden | Evaluating Conditional PDF, CDF, and Quantiles of Smoothing Spline Density Estimates |
| d.sscden | Evaluating PDF, CDF, and Quantiles of Smoothing Spline Conditional Density Estimates |
| d.sscden1 | Evaluating PDF, CDF, and Quantiles of Smoothing Spline Conditional Density Estimates |
| d.ssden | Evaluating PDF, CDF, and Quantiles of Smoothing Spline Density Estimates |
| d.ssden1 | Evaluating PDF, CDF, and Quantiles of Smoothing Spline Density Estimates |
| dsscden | Evaluating PDF, CDF, and Quantiles of Smoothing Spline Conditional Density Estimates |
| dssden | Evaluating PDF, CDF, and Quantiles of Smoothing Spline Density Estimates |
| esc | Embryonic Stem Cell from Mouse |
| eyetrack | Eyesight Fixation in Eyetracking Experiments |
| fitted.gssanova | Fitted Values and Residuals from Smoothing Spline ANOVA Fits |
| fitted.ssanova | Fitted Values and Residuals from Smoothing Spline ANOVA Fits |
| gastric | Gastric Cancer Data |
| gauss.quad | Generating Gauss-Legendre Quadrature |
| gssanova | Fitting Smoothing Spline ANOVA Models with Non-Gaussian Responses |
| gssanova0 | Fitting Smoothing Spline ANOVA Models with Non-Gaussian Responses |
| gssanova1 | Fitting Smoothing Spline ANOVA Models with Non-Gaussian Responses |
| hzdcurve.sshzd | Evaluating Smoothing Spline Hazard Estimates |
| hzdrate.sshzd | Evaluating Smoothing Spline Hazard Estimates |
| LakeAcidity | Water Acidity in Lakes |
| nlm0 | Minimizing Univariate Functions on Finite Intervals |
| NO2 | Air Pollution and Road Traffic |
| nox | NOx in Engine Exhaust |
| ozone | Ozone Concentration in Los Angeles Basin |
| para.arma | Fitting Smoothing Spline ANOVA Models with Correlated Data |
| penny | Thickness of US Lincoln Pennies |
| predict.ssanova | Predicting from Smoothing Spline ANOVA Fits |
| predict.ssanova0 | Predicting from Smoothing Spline ANOVA Fits |
| predict.sscox | Evaluating Smoothing Spline ANOVA Estimate of Relative Risk |
| predict.ssllrm | Evaluating Log-Linear Regression Model Fits |
| print.gssanova | Print Functions for Smoothing Spline ANOVA Models |
| print.ssanova | Print Functions for Smoothing Spline ANOVA Models |
| print.ssanova0 | Print Functions for Smoothing Spline ANOVA Models |
| print.sscden | Print Functions for Smoothing Spline ANOVA Models |
| print.sscox | Print Functions for Smoothing Spline ANOVA Models |
| print.ssden | Print Functions for Smoothing Spline ANOVA Models |
| print.sshzd | Print Functions for Smoothing Spline ANOVA Models |
| print.ssllrm | Print Functions for Smoothing Spline ANOVA Models |
| print.summary.gssanova | Print Functions for Smoothing Spline ANOVA Models |
| print.summary.gssanova0 | Print Functions for Smoothing Spline ANOVA Models |
| print.summary.ssanova | Print Functions for Smoothing Spline ANOVA Models |
| project | Projecting Smoothing Spline ANOVA Fits for Model Diagnostics |
| project.gssanova | Projecting Smoothing Spline ANOVA Fits for Model Diagnostics |
| project.ssanova | Projecting Smoothing Spline ANOVA Fits for Model Diagnostics |
| project.ssanova9 | Projecting Smoothing Spline ANOVA Fits for Model Diagnostics |
| project.sscden | Projecting Smoothing Spline ANOVA Fits for Model Diagnostics |
| project.sscden1 | Projecting Smoothing Spline ANOVA Fits for Model Diagnostics |
| project.sscox | Projecting Smoothing Spline ANOVA Fits for Model Diagnostics |
| project.ssden | Projecting Smoothing Spline ANOVA Fits for Model Diagnostics |
| project.ssden1 | Projecting Smoothing Spline ANOVA Fits for Model Diagnostics |
| project.sshzd | Projecting Smoothing Spline ANOVA Fits for Model Diagnostics |
| project.sshzd1 | Projecting Smoothing Spline ANOVA Fits for Model Diagnostics |
| project.ssllrm | Projecting Smoothing Spline ANOVA Fits for Model Diagnostics |
| psscden | Evaluating PDF, CDF, and Quantiles of Smoothing Spline Conditional Density Estimates |
| pssden | Evaluating PDF, CDF, and Quantiles of Smoothing Spline Density Estimates |
| qsscden | Evaluating PDF, CDF, and Quantiles of Smoothing Spline Conditional Density Estimates |
| qssden | Evaluating PDF, CDF, and Quantiles of Smoothing Spline Density Estimates |
| residuals.gssanova | Fitted Values and Residuals from Smoothing Spline ANOVA Fits |
| residuals.ssanova | Fitted Values and Residuals from Smoothing Spline ANOVA Fits |
| Sachs | Protein Expression in Human Immune System Cells |
| smolyak.quad | Generating Smolyak Cubature |
| smolyak.size | Generating Smolyak Cubature |
| ssanova | Fitting Smoothing Spline ANOVA Models |
| ssanova0 | Fitting Smoothing Spline ANOVA Models |
| ssanova9 | Fitting Smoothing Spline ANOVA Models with Correlated Data |
| sscden | Estimating Conditional Probability Density Using Smoothing Splines |
| sscden1 | Estimating Conditional Probability Density Using Smoothing Splines |
| sscox | Estimating Relative Risk Using Smoothing Splines |
| ssden | Estimating Probability Density Using Smoothing Splines |
| ssden1 | Estimating Probability Density Using Smoothing Splines |
| sshzd | Estimating Hazard Function Using Smoothing Splines |
| sshzd1 | Estimating Hazard Function Using Smoothing Splines |
| ssllrm | Fitting Smoothing Spline Log-Linear Regression Models |
| stan | Stanford Heart Transplant Data |
| summary.gssanova | Assessing Smoothing Spline ANOVA Fits with Non-Gaussian Responses |
| summary.gssanova0 | Assessing Smoothing Spline ANOVA Fits with Non-Gaussian Responses |
| summary.ssanova | Assessing Smoothing Spline ANOVA Fits |
| summary.ssanova0 | Assessing Smoothing Spline ANOVA Fits |
| summary.ssanova9 | Assessing Smoothing Spline ANOVA Fits |
| survexp.sshzd | Evaluating Smoothing Spline Hazard Estimates |
| wesdr | Progression of Diabetic Retinopathy |


Synopsis
Conqueror and king of Macedonia, Alexander the Great was born on July 20,
356 B.C., in Pella, in the Ancient Greek kingdom of Macedonia. During his
leadership, from 336 to 323 B.C., he united the Greek city-states and led
the Corinthian League. He also became the king of Persia, Babylon and Asia,
and created Macedonian colonies in the region. While considering the conquests
of Carthage and Rome, Alexander died of malaria in Babylon (now Iraq),
on June 13, 323 B.C.
Cavalry commander at age eighteen, king at twenty, conqueror of the Persian
Empire at twenty-six, explorer of the Indian frontier at thirty. Alexander’s
conquests created a legend that would provide the standard by which other
leaders measured their careers.
Although we lack sufficient detai ls about his character, there was no doubt
that he was an inspiring leader and personally a very brave soldier. He
was ruthless toward those who opposed him — even from within his own ranks
— but fair and honest toward those who exhibited courage and skill.
Early Life
Alexander the Great was born in the Pella region of the Ancient Greek kingdom
of Macedonia on July 20, 356 B.C., to parents King Philip II of Macedon
and Queen Olympia, daughter of King Neoptolemus. Alexander received his
earliest education under the tutelage of his relative, the stern Leonidas
of Epirus. Leonidas, who had been hired by King Phillip to teach Alexander
math, horsemanship and archery, struggled to control his rebellious student.
In 343 B.C., King Philip II hired the philosopher Aristotle to tutor Alexander
at the Temple of the Nymphs at Meiza. Over the course of three years, Aristotle
taught Alexander and a handful of his friends philosophy, poetry, drama,
science and politics.
King of Macedonia
In 336, Alexander's sister wed the Molossian king, an uncle who was also
called Alexander. During the festival that followed, King Philip II was
murdered at the hands of Pausanias, a Macedonian noble. In the wake of
his father's death, Alexander, then 19, was determined to seize the throne
by any means necessary. He quickly garnered the support of the Macedonian
army, including the general and troops he had fought with at Chaeronea.
Campaigns and Conquests
As Alexander was nearing the end of his northern campaign, he was delivered
the news that Thebes, a Greek city-state, had forced out the Macedonian
troops that were garrisoned there. Fearing a revolt among the other city-states,
Alexander leapt into action, marching his massive army—consisting of 3,000
cavalry and 30,000 infantry—southward all the way to the tip of the Greek
peninsula. Meanwhile, Alexander's general, Parmenion, had already made
his way to Asia Minor. Alexander and his forces arrived in Thebes so quickly
that the city-state didn't have a chance to pull together allies for its
defense.
Three days after his arrival, Alexander led the massacre of Thebes. It was
Alexander's hope that the destruction of Thebes would serve as a warning
to city-states contemplating revolt. His intimidation tactic proved effective;
the other Greek city-states, including Athens, chose to pledge their alliance
to the Macedonian Empire or opted to remain neutral. In 334, Alexander
embarked on his Asiatic expedition, arriving in Troy that spring. Alexander
then faced Persian King Darius III's army near the Grancius River; Darius'
forces were swiftly defeated.
By fall, Alexander and his army had made it across the southern coast of
Asia Minor to Gordium, where they took the winter to rest. In the summer
of 333, the troops of Alexander and Darius once again went head to head
in battle at Issus. Although Alexander's army was outnumbered, he used
his flair for military strategy to create formations that defeated the
Persians again and caused Darius to flee. In November of 333, Alexander
declared himself the king of Persia after capturing Darius and making him
a fugitive.
Next up on Alexander's agenda was his campaign to conquer Egypt. After besieging
Gaza on his way to Egypt, Alexander easily achieved his conquest; Egypt
fell without resistance. In 331, he created the city of Alexandria, designed
as a hub for Greek culture and commerce. Later that year, Alexander defeated
the Persians at the Battle of Gaugamela. With the collapse of the Persian
army, Alexander became "King of Babylon, King of Asia, King of the Four
Quarters of the World." Alexander's next conquest was eastern Iran, where
he created Macedonian colonies and in 327 seized the fortress in Ariamazes.
After capturing Prince Oxyartes, Alexander married the prince's daughter,
Rhoxana.
In 328, Alexander defeated King Porus' armies in northern India. Finding
himself impressed by Porus, Alexander reinstated him as king and won his
loyalty and forgiveness. Alexander forged eastward to the Ganges but headed
back when his armies refused to advance any farther. On their way back
along the Indus, Alexander was wounded by Malli warriors. In 325, after
Alexander had recovered, he and his army headed north along the rugged
Persian Gulf, where many fell prey to illness, injury and death.
In February 324, Alexander at last reached the city of Susa. Desperate to
retain his leadership and recruit more soldiers, he tried to connect Persian
nobles to Macedonians in order to create a ruling class. To this end, at
Susa he commanded that a large number of Macedonians marry Persian princesses.
After Alexander managed to recruit tens of thousands of Persian soldiers
into his army, he dismissed many of his existing Macedonian soldiers. This
enraged the soldiers, who spoke critically of Alexander's new troops and
condemned him for adopting Persian customs and manners. Alexander appeased
the Macedonian soldiers by killing 13 Persian military leaders. The Thanksgiving
Feast at Susa, which had been geared towards solidifying the bond between
Persians and Macedonians, shaped up to be quite the opposite.
Death
While considering the conquests of Carthage and Rome, Alexander the Great
died of malaria in Babylon (now Iraq), on June 13, 323 B.C. He was just
32 years old. Rhoxana gave birth to his son a few months later. After Alexander
died, his empire collapsed and the nations within it battled for power.
Over time, the cultures of Greece and the Orient synthesized and thrived
as a side effect of Alexander's empire, becoming part of his legacy and
spreading the spirit of Panhellenism.


OTPublisher Class Reference
| Inherits from | NSObject |
| Declared in | OTPublisher.h OTPublisher.m |
Overview
A publisher captures an audio-video stream from the device’s microphone and camera. You can then publish the audio-video stream to an OpenTok session by sending the [OTSession publish:] message.
Tasks
Initializing a publisher
-
– initWithDelegate:
Initialize a publisher object and specify the delegate object.
-
– initWithDelegate:name:
Initialize a publisher object, and specify the delegate object and the stream’s name.
Getting information about the publisher
-
delegate
The OTPublisherDelegate object, which is the delegate for the OTPublisher object.
property -
session
The session that owns this publisher.
property -
view
The view for this publisher. If this view becomes visible, it will display a preview of the active camera feed.
property -
name
A string that will be associated with this publisher’s stream. This string is displayed at the bottom of publisher videos and at the bottom of subscriber videos associated with the published stream. You can set this name after initializing the publisher and before sending the [OTSession publish:] message. Setting the property after sending the [OTSession publish:] message has no effect on the name displayed for the stream.
property
Controlling audio and video output for a publisher
-
publishAudio
Whether to publish audio. Set this property immediately after initializing the OTPublisher object; otherwise, it will have no effect.
property -
publishVideo
Whether to publish video. Set this property immediately after initializing the OTPublisher object; otherwise, it will have no effect.
property
Setting publisher device configuration
-
cameraPosition
The preferred camera position. When setting this property, if the change is possible, the publisher will use the camera with the specified position. If the publisher has begun publishing, getting this property returns the current camera position; if the publisher has not yet begun publishing, getting this property returns the preferred camera position.
property
Properties
cameraPosition
The preferred camera position. When setting this property, if the change is possible, the publisher will use the camera with the specified position. If the publisher has begun publishing, getting this property returns the current camera position; if the publisher has not yet begun publishing, getting this property returns the preferred camera position.
@property (atomic) AVCaptureDevicePosition cameraPosition
Declared In
OTPublisher.h
delegate
The OTPublisherDelegate object, which is the delegate for the OTPublisher object.
@property (nonatomic, weak) id<OTPublisherDelegate> delegate
Declared In
OTPublisher.h
name
A string that will be associated with this publisher’s stream. This string is displayed at the bottom of publisher videos and at the bottom of subscriber videos associated with the published stream. You can set this name after initializing the publisher and before sending the [OTSession publish:] message. Setting the property after sending the [OTSession publish:] message has no effect on the name displayed for the stream.
@property (nonatomic, retain) NSString *name
Discussion
Note that you can also set the name when you send the [OTPublisher initWithDelegate:name:] message.
This value defaults to an empty string.
Declared In
OTPublisher.h
publishAudio
Whether to publish audio. Set this property immediately after initializing the OTPublisher object; otherwise, it will have no effect.
@property (atomic) BOOL publishAudio
Discussion
The default value is TRUE.
Declared In
OTPublisher.h
publishVideo
Whether to publish video. Set this property immediately after initializing the OTPublisher object; otherwise, it will have no effect.
@property (atomic) BOOL publishVideo
Discussion
The default value is TRUE.
Declared In
OTPublisher.h
Instance Methods
initWithDelegate:
Initialize a publisher object and specify the delegate object.
- (id)initWithDelegate:(id<OTPublisherDelegate>)delegate
Parameters
- delegate
The delegate (OTPublisherDelegate) object for the publisher.
Return Value
The pointer to the instance, or nil
if initialization failed.
Discussion
When running in the XCode iOS Simulator, this method returns nil
.
Declared In
OTPublisher.h
initWithDelegate:name:
Initialize a publisher object, and specify the delegate object and the stream’s name.
- (id)initWithDelegate:(id<OTPublisherDelegate>)delegate name:(NSString *)name
Parameters
- delegate
The delegate (OTPublisherDelegate) object for the publisher.
- name
The name for this stream. This string is displayed at the bottom of publisher videos and at the bottom of subscriber videos associated with the published stream.
Return Value
The pointer to the instance, or nil
if initialization failed.
Discussion
When running in the XCode iOS Simulator, this method returns nil
.
Declared In
OTPublisher.h


Grand Island Package
Change SearchIncluded in this booking:
- Same day return ferry ticket
- Rottnest Island admission ticket
- Morning tea at Hillarys Boat Harbour
- Full-day tour host
- 4 hour island tour in air conditioned comfort, taking in the amaizing flora and fauna of the island with a unique historic train ride.
- and any selected extras
Passenger Details
Please insert the passenger name(s) according to your ID.
Passenger 1 - adult
Passenger 2 - child
Mobility Items and Prams
Does anyone in your passenger list require any mobility items or prams? Any of the items below can be transferred free of charge. Read our accessibity guideline to make your journey a smooth one.
Mobility Item
Quantity
Wheelchair
Pram / Stroller
Walking Frame
Mobility Scooter / Gopher
Booking Summary
Grand Island Package
| Rottnest Island Admission Fee | |||
| Adult (x1) | $19.50 | ||
| Kid (x1) | $7.00 | ||
| Subtotal | $26.50 | ||
| Hillarys to Rottnest Ferry Ticket | |||
| Sun, 03 Jan 2021 - 7:30am | |||
| Package Fare | |||
| Adult (x1) | $186.00 | ||
| Child (x1) | $120.00 | ||
| Subtotal | $306.00 | ||
| Rottnest to Hillarys Ferry Ticket | |||
| Sun, 03 Jan 2021 - 4:30pm | |||
| Package Fare | |||
| Adult (x1) | $0.00 | ||
| Child (x1) | $0.00 | ||
| Subtotal | $0.00 | ||
| Bus Pickup | |||
| Great Southern Hotel - 6:25am | |||
| Adult (x1) | $0.00 | ||
| Child (x1) | $0.00 | ||
| Subtotal | $0.00 | ||
| Extras | |||
| No Item Selected | |||
| Unisex T-shirt - L (x1) | $26.00 | ||
| Subtotal | $26.00 | ||
| Mobility Items | |||
| No Item Selected | |||
| Subtotal | $0.00 | ||
| Coupon Discount | |||
|
|||
| Current Total | $ 322.65 |


Graph your currencies value.
Easily manage your entire portfolio.
Stay up-to-date on the latest news and trending topics.


Chip-8 uses a hexadecimal input. Use the keys below, or use a gamepad if enabled.
Based on the chip8 emulator by Alex Dickson. Based on Cowgod's Chip-8 Technical Reference.


Consultation outcome
Ref: DFE-00080-2017 PDF , 400KB , 15 pages
Summary of the responses we received, along with the government’s response outlining the next steps.
Find out more about revised subject content for A levels .
This consultation ran from
to
We'd like views on AS and A level subject content for modern foreign languages with smaller cohorts.
This consultation was held on another website .
We’d like your views on AS and A level subject content covering the following languages: Arabic, Bengali, Gujarati, Greek, modern Hebrew, Japanese, Panjabi, Persian, Portuguese, Polish, Turkish and Urdu.
New qualifications based on this content will be first taught in Autumn 2018.
The consultation focuses on:
the requirement to apply 3 skills in combination (listening, reading and writing), responding to spoken and written sources on common subjects
the proposed title of the content for this qualification: ‘modern foreign languages AS and A level (alternative content for languages with smaller cohorts)’
any disproportionate impact, positive or negative, on specific students, in particular those with ‘relevant protected characteristics’
Published: 1 December 2016
Updated: 3 March 2017


General
| Language | Author | Language | Author |
|---|---|---|---|
| English | Caffeinated Code | Português | Belenos Govannon |
| English (Pirate) | Caffeinated Code | Русский | Andrej Pryakhin |
| Euskara | Naxo Oyanguren | Suomi | Rami Selin |
| Français | Raphaël Maurin | Tiếng Việt | Nguyễn Đình Quân |
| Deutsch | Dennis Peteranderl | 中文(简体) | tuhaihe, 2012 |
| Italiano | Luigi Massa | العربية | Fouad Hassouneh |
Sync is finished but we need your help. With your donations we can make sync & mobile apps possible.


{% extends 'base.html' %} {% block content %} Login Let's get this workout started! {% if login_error %} Could not log you in! {% elif invalid_characters%} Invalid characters found! {% endif %} Remember me Login {% endblock %}
Let's get this workout started!
Could not log you in!
Invalid characters found!


Printing
Today’s commercial environment demands near-instant response to client requests, and favours personalised communication and results-driven, one-to-one marketing.
X1’s state-of-the-art digital printers allow fast turnaround and cost-effective small print runs. Full colour variable data and image printing allows a wide range of personalisation to be added to your literature, enhancing customer attention and response.
Other printing related services we provide include large format printing on a wide range of different materials.
For more information, please contact Andy Pering on 01753 215340 or email<EMAIL_ADDRESS>Add some ‘touch and feel’ to your products and services
How much is it worth to get more customers to listen to you? What if you could excite them by letting them touch and feel as well as read about the unique value of your products and services?
We can apply a transparent ink layer to your next direct mailing promotion that will enhance the look, feel and memorability of the publicity. Using digital technology allows us to offer customised offers, messages, designs and incentives.
Capturing, and keeping, your target’s attention is not an easy task today, but it should be the first objective in any marketing activity. If you’re interested to get a sample please contact Andy Pering on 01753 215340 or email<EMAIL_ADDRESS>Direct Mail
Over 4 billion pieces of direct mail are delivered in the UK each year. There are some very good reasons for this.
You can prepare and mail a small promotion within weeks rather than months. This makes it a perfect vehicle for testing the latest prices, offers and audiences.
Response is faster. You see the results of a mailing more quickly and accurately than with most other advertising.
“69% open all the mail they receive vs 22% open all the emails – 47% say they receive too much mail vs 70% who say they receive too many emails.”
Source: Quadrangle, Mail & Digital, Part 1, 2013
It is cost-effective. X1 can mail to lists as small as 200. And X1 will target your mailings, meaning more results and less wasted effort.
It is more flexible. After testing a promotion, X1 can fine-tune it based on initial feedback.
It is more personal. Not only can letters be personalised via mail-merging techniques, but you can use more informal language in writing your letter and can direct your letter to the specific interest of the reader.
It can build a list of loyal customers. Direct mail allows you to build and maintain an in-house list of ‘premium prospects’.
“1 in 3 not only look forward to the mail arriving but are disappointed if they don’t receive anything – 70% enjoy receiving vouchers, coupons and discounts through the post.”
Source: DMA from the letter box to the inbox, building customers relationships, 2013
A postal database provides demographic information about a target audience. Marketers can profile the different individuals in that target audience to be able to engage them in a more relevant way.
There is no screening – there is no junk mail filter with direct mail, your recipient will receive what you send them.
People receive far more emails and text messages than postal pieces. Sending an item in the mail means you have more chance of catching your target’s attention.
Marketers can capture their target’s attention by attaching promotional items to a direct mailing piece. Also, paper is tactile and tangible, making it easier for marketers to show the value of what they sell.
X1 has employed the best in marketing knowledge and creativity and invested in the technology that will help you promote your company and services effectively.
We can help you improve your return on marketing investment and sales productivity by offering a variety of marketing services and products including consultancy, cross media and data analytics to suit most business requirements and budgets.
Contact Tim Lance on 01753 215325 or email tim@x1.ltd.uk.


Runkeeper → Open Humans
Use this application to add your Runkeeper data to your
Open Humans account.
Learn more by visiting:
{{ oh_proj_page }}
How it works
- Click the button below
This takes you to Open Humans.
- Log in or create an Open Humans account
Data will be added to this account.
- Authorize this app in Open Humans
This authorizes us to add data to your account.
- Return and the app will add data.
Demo data should be added to your Open Humans account.
You'll be able to access & manage data here:
{{ oh_proj_page }}
{% if client_id %}
Start with Open Humans authorization
{% if not client_id %}
This button is disabled because client_id hasn't been configured.
{% endif %}
{% endblock %}


When you imagine the construction process, it can be easy to think that it’s thread-safe. After all, no one can even see the new object before it finishes initialization, so how could there be contention over that object? Indeed, the Java Language specification (JLS) confidently states:
“There is no practical need for a constructor to be synchronized, because it would lock the object under construction, which is normally not made available to other threads until all constructors for the object have completed their work.”
Unfortunately, object construction is as vulnerable to shared-memory concurrency problems as anything else. The mechanisms can be more subtle, however.
Consider the automatic creation of a unique identifier for each object using a
static
field. To test different implementations, we’ll start with an
interface:
// HasID.java
public interface HasID {
int getID();
}
Then implement that interface in an obvious way:
// StaticIDField.java
public class StaticIDField implements HasID {
private static int counter = 0;
private int id = counter++;
public int getID() { return id; }
}
This is about as simple and innocuous a class as you can imagine. It doesn’t even have an explicit constructor to cause problems. To see what happens when we make multiple concurrent tasks that create these objects, here’s a test harness:
// IDChecker.java
import java.util.*;
import java.util.function.*;
import java.util.stream.*;
import java.util.concurrent.*;
import com.google.common.collect.Sets;
public class IDChecker {
public static int SIZE = 100_000;
static class MakeObjects
implements Supplier<List<Integer>> {
private Supplier<HasID> gen;
public MakeObjects(Supplier<HasID> gen) {
this.gen = gen;
}
@Override
public List<Integer> get() {
return
Stream.generate(gen)
.limit(SIZE)
.map(HasID::getID)
.collect(Collectors.toList());
}
}
public static void test(Supplier<HasID> gen) {
CompletableFuture<List<Integer>>
groupA = CompletableFuture
.supplyAsync(new MakeObjects(gen)),
groupB = CompletableFuture
.supplyAsync(new MakeObjects(gen));
groupA.thenAcceptBoth(groupB, (a, b) -> {
System.out.println(
Sets.intersection(
Sets.newHashSet(a),
Sets.newHashSet(b)).size());
}).join();
}
}
The MakeObjects
class is a Supplier
with a get()
that produces a
List<Integer>
. This List
is generated by extracting the id
from each
HasID
object. The test()
method creates two parallel CompletableFuture
s
that run MakeObjects
suppliers, then takes the results of each and uses the
Guava library Sets.intersection()
to find out how many id
s are common
between the two List<Integer>
(Guava is much faster than using retainAll()
).
Now we can test the StaticIDField
:
// TestStaticIDField.java
public class TestStaticIDField {
public static void main(String[] args) {
IDChecker.test(StaticIDField::new);
}
}
/* Output:
47643
*/
That’s a rather large number of duplicates. Clearly, a plain static int
is
not safe to use for construction. Let’s make it thread-safe using an
AtomicInteger
:
// GuardedIDField.java
import java.util.concurrent.atomic.*;
public class GuardedIDField implements HasID {
private static AtomicInteger counter =
new AtomicInteger();
private int id = counter.getAndAdd(1);
public int getID() { return id; }
public static void main(String[] args) {
IDChecker.test(GuardedIDField::new);
}
}
/* Output:
0
*/
Constructors have an even more subtle way to share state: through constructor arguments:
// SharedConstructorArgument.java
import java.util.concurrent.atomic.*;
interface SharedArg {
int get();
}
class Unsafe implements SharedArg {
private int i = 0;
public int get() { return i++; }
}
class Safe implements SharedArg {
private static AtomicInteger counter =
new AtomicInteger();
public int get() {
return counter.getAndAdd(1);
}
}
class SharedUser implements HasID {
private final int id;
public SharedUser(SharedArg sa) {
id = sa.get();
}
@Override
public int getID() { return id; }
}
public class SharedConstructorArgument {
public static void main(String[] args) {
Unsafe unsafe = new Unsafe();
IDChecker.test(() -> new SharedUser(unsafe));
Safe safe = new Safe();
IDChecker.test(() -> new SharedUser(safe));
}
}
/* Output:
47747
0
*/
Here, the SharedUser
constructors share the same argument. Even though
SharedUser
is using its argument in a completely innocent and reasonable
fashion, the way the constructor is called causes collisions. SharedUser
cannot even know it is being used this way, much less control it!
synchronized
constructors are not supported by the language, but it’s
possible to create your own using a synchronized
block. Although the
JLS states that “… it would lock the object under construction”, this is
not true—the constructor is effectively a static
method, so a
synchronized
constructor would actually lock through the class object. We
can reproduce this by creating our own static
object and locking on that:
// SynchronizedConstructor.java
import java.util.concurrent.atomic.*;
class SyncConstructor implements HasID {
private final int id;
private static Object constructorLock = new Object();
public SyncConstructor(SharedArg sa) {
synchronized(constructorLock) {
id = sa.get();
}
}
@Override
public int getID() { return id; }
}
public class SynchronizedConstructor {
public static void main(String[] args) {
Unsafe unsafe = new Unsafe();
IDChecker.test(() -> new SyncConstructor(unsafe));
}
}
/* Output:
0
*/
The shared use of the Unsafe
class is now safe.
An alternate approach is to make the constructors private
(thus preventing
inheritance) and provide a static
Factory Method to produce new objects:
// SynchronizedFactory.java
import java.util.concurrent.atomic.*;
class SyncFactory implements HasID {
private final int id;
private SyncFactory(SharedArg sa) {
id = sa.get();
}
@Override
public int getID() { return id; }
public static synchronized
SyncFactory factory(SharedArg sa) {
return new SyncFactory(sa);
}
}
public class SynchronizedFactory {
public static void main(String[] args) {
Unsafe unsafe = new Unsafe();
IDChecker.test(() ->
SyncFactory.factory(unsafe));
}
}
/* Output:
0
*/
By synchronizing the static
Factory Method you lock on the class object
during construction.
These examples emphasize how insidiously difficult it is to detect and manage shared state in concurrent Java programs. Even if you take the “share nothing” strategy, it’s remarkably easy for accidental sharing to take place.


| WinAPI Wrapper |
The Pen class provides automatic management (creating and destroying) of pen GDI objects. It is derived from the GDIObjectBase class. See Pens Overview for details.
The Pen class has the following functions:
| Function | Related WinAPI function | Description |
|---|---|---|
| Pen | CreatePen | Creates a pen object. |
| operator HPEN | - | Returns pen handle. |
WinAPI Wrapper, WinAPI Wrapper classes, Pens Overview, Pen Functions


|
CppGC
1.01
|
#include <gc.h>
Public Member Functions | |
| void * | operator new (size_t size) |
| void * | operator new (size_t fixedSize, size_t varyingSize) |
| void | operator delete (void *obj) |
| void | operator delete (void *obj, size_t) |
Protected Member Functions | |
| virtual void | mark (MemoryAllocator *allocator) |
| virtual | ~Object () |
| ObjectHeader * | getHeader () |
Friends | |
| class | MemoryAllocator |
Base class for all garbage collected classes.
| virtual GC::Object::~Object | ( | ) | [inline, protected] |
Virtual destructor used by memory allocator to finilize object
| virtual void GC::Object::mark | ( | MemoryAllocator * | allocator | ) | [inline, protected, virtual] |
Mark referenced objects
Reimplemented in GC::ObjectArray< T >.
| void GC::Object::operator delete | ( | void * | obj | ) | [inline] |
Objects should not be explicitly deleted. Unreachable objects are deleted by garbage collector.
| void* GC::Object::operator new | ( | size_t | size | ) | [inline] |
Redefined operator new for all derived classes
References GC::MemoryAllocator::allocate().
| void* GC::Object::operator new | ( | size_t | fixedSize, |
| size_t | varyingSize | ||
| ) | [inline] |
Redefined operator new for all derived classes with varying size
References GC::MemoryAllocator::allocate().


Manual for the Amberbio app
The Amberbio app allows scientists to analyze and visualize data sets, in particular biological data, on mobile devices. All calculations are performed directly on the device and all data is stored locally. The functionality should be evident from the user interface and it is not necessary to read the manual to use the app. The manual gives a high level overview of the app and explains some important details that are not clear from the user interface such as some mathematical details.
This manual is available in the app and on the web at www.amberbio.com/manual.
Table of contents
Version
Version 8 of the Amberbio app.
Privacy
All data is stored locally on the device. All calculations are performed locally. Amber Biosciences does not have any access to user data.
Projects and data sets
The app handles projects and data sets. A data set is a set of values organized in a table with rows and columns. A project is a collection of one or more data sets. A project is always created with a data set called "The original data set". Other data sets within a project are created by the app using various methods such as normalization or sample removal.
The columns of a data set are called samples and the rows are called molecules. The values in the table represent an intensity, or some other quantity, for a sample-molecule pair. Data sets could represent biological information such as gene expression, protein abundances, microRNA expressions, peptide abundances, or metabolite concentrations. Data sets do not need to be of biological nature even though the app uses terminology from biology.
A project also contains factor, or grouping, information about the samples. A factor has one or more levels. An example of a factor is "Gender" with levels "male" and "female". Naturally, factors are shared for all data sets within a project.
A project can also contain extra information about the molecules. This information is called molecule annotations. An example could be the molecule annotation "Chromosome" where each molecule has a value such as "chromosome 21".
The active data set
Analysis is performed on the active data set. Selection of the active data set is done on the page Data Set Selection. The active project is the project to which the active data set belongs. Editing and adding factors and molecule annotations are done in the active project.
There is almost always an active data set and project. The only exceptions are when the app starts the first time and when the active project is deleted. When a new data set is created, the app automatically makes the new data set active and jumps to the page Data Set Selection
Import of data
Data import is used to create new projects and to add factor and molecule annotation information to projects. Import of data is a two step process. First, a file is downloaded to the app. Second, the file is read and parsed and the data is imported into a database kept by the app.
Import of data is handled by the page Import data. All downloaded files can be seen on this page. The app keeps all imported files until they are deleted by the user.
A project is created from a table of values. The values can not be changed. New values must be imported in a new project. Factors and molecule annotations can be added at any time.
File types
The app can import files with file extension ".txt", ".xlsx" and ".sqlite".
The ".txt" and ".xlsx" files contain tables, or spreadsheets, of data. They are prepared by the user. The tables are used to create a new project, to import factors to the active project, or to import molecule annotations to the active project. The precise format of these file types is explained below.
The ".sqlite" files are internal files. They are exported by the app and later imported in the app on any device. They are used to transfer and backup data by the app.
Download of files
Files can be downloaded in two ways; either by "opening" the file in another app such as Mail or by import from a cloud storage.
Opening a file in the Amberbio app from another app is done by tapping the file and selecting the Amberbio app. A typical use case is to open an email attachment by tapping the attachment in the Mail app.
Files can be imported from a cloud storage such as iCloud Drive, Dropbox, Box, or Google Drive. The import is done by tapping "Download file" on the page Import data. The corresponding cloud storage app must itself be installed on the device. The first time a certain cloud storage provider is used in the Amberbio app, it might be necessary to tap "more" and enable that provider.
Importing downloaded files
Tap the button "Import" below the file name for a downloaded file to import it. ".sqlite" files are automatically processed. ".txt" and ".xlsx" files are processed by an import wizard that goes through several steps where the user can select a rectangular region by tapping. The use of the import wizard minimizes the need to edit the table in an external program before import.
Format of .txt files
The ".txt" files contain tables of data. The rows, or lines, are separated by "\n", "\r", or "\r\n", and the cells are separated by "\t" or ",". In other words, the ".txt" files can be both tab and comma separated and have all common line endings. The app finds the cell separator automatically by first searching for tabs. If there are tabs, the app reads the file as a tab separated file. If there are no tabs, the file is read as a comma separated file. Tabs are never allowed within the cells. If there are commas within the cells, the file must be tab separated.
Format of .xlsx files
The ".xlsx" are modern Excel files. They are distinct from the older ".xls" files. The ".xlsx" files can be exported from Excel and many other programs. The data must reside in the first sheet.
The ".xlsx" files are parsed by the library "XlsxReaderWriter" by René BIGOT. The library is available at https://github.com/renebigot/XlsxReaderWriter.
Copyright for XlsxReaderWriter
The MIT License (MIT)
Copyright (c) 2014 René BIGOT
Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions:
The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software.
 IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.
Specification of tables from .txt and .xlsx files
Numerical values can be specified with either decimal point as in "12.98" or decimal comma as in "12,98". If the decimal separator is comma, a ".txt" file must be tab separated. Anything else than a number is taken as a missing value if a number is expected.
Because of the import wizard, any reasonable arrangement of rows and columns can be used for import. For instance, samples can be in either row or columns with molecules in the other dimension. Examples are shown below.
Example 1
The first example shows a table that contains everything, i.e., sample names, molecule names, values, factors, and molecule annotations. Through the import wizard various rectangular regions can be imported.
| Anything | Sample 1 | Sample 2 | Unigene | Chromosome | |
| Molecule 1 | 6.7 | Hs.243564 | 1 | ||
| Molecule 2 | -0.45 | NaN | Hs.375439 | 19 | |
| Molecule 3 | #NULL | -12 | Hs.631576 | 19 | |
| Gender | Male | Female | |||
| Status | Cancer | Normal |
Example 2
The second example is a transposed version of the first example. Also "," is used as decimal separator in some values. This file can not then be a comma separated ".txt" file.
| Anything | Molecule 1 | Molecule 2 | Molecule 3 | Gender | Status | |
| Sample 1 | 6,7 | -0.45 | #NULL | Male | Cancer | |
| Sample 2 | NaN | -12 | Female | Normal | ||
| Unigene | Hs.243564 | Hs.375439 | Hs.631576 | |||
| Chromosome | 1 | 19 | 19 |
Example 3
The third example shows a table that contains information about values and molecule annotations but no factors.
| Molecule name | Molecule id | Mouse A | Mouse B | ||
| Mol 1 | Id 1 | 5.6 | 3.4 | ||
| Mol 2 | Id 2 | -9.8 | #NA |
Example 4
The fourth example provides factors for the third example. The factors can be imported at any later time. Samples that are absent in the project, like Mouse C, are automatically ignored.
| Treatment | Diet | |
| Mouse B | Drug | Fat |
| Mouse C | Drug | Sugar |
| Mouse A | Placebo | Fat |
Project settings
In project settings, the molecule identifier used in plots can be selected. The default molecule identifier is the molecule name. However, often another molecule annotation is more descriptive in a figure. The selected molecule identifier is stored in the local app database and will be remembered through restarts of the app.
GEO
Data sets can be imported directly from the NCBI Gene Expression Omnibus (GEO). The app downloads and imports a data set based on a user supplied id. The id must be of the form GDSxxxx or GSExxxx where xxxx is any number.
The imported data set becomes the original data in a new project named after the id. The app extracts some, but not all, information from the downloaded data set. The factors are not standardized in GEO data sets. Like all data sets in the app, factors can be manually edited and added.
GEO data sets can be searched on the web page http://www.ncbi.nlm.nih.gov/sites/GDSbrowser.
Result files
Result files are created by the app. The result files are figures and tables and have the file extension ".txt", ".pdf", or ".png". The result files are kept on the page Result files. The result files can be sent by email, opened in another app, or exported to a cloud storage.
Backup and sharing of projects
Projects can be exported to a database file on the page Export projects. The database file has the extension ".sqlite". The file can be used for backup and transfer of projects to other devices. The file can be sent by email or exported to a cloud storage.
Name and emails
On the page User, a name and a list of emails can be typed. There are no user accounts in the app. The name is only used for comments in the result files and the project notes. The emails are used as suggested emails when a file is sent by email from the app. The actual destination emails can always be changed before sending the email.
Anova
The Anova test is performed on the selected levels of a factor. The selected levels are highlighted, and the anova test is performed by tapping the blue factor name. For each molecule a standard Anova test is performed by removing samples with missing values, calculating the F-statistic as the ratio of between-groups variation divided by the within-groups variation. The p-value is the upper tail of the cumulative F-distribution.
Pairwise test
After selecting a factor, any number of pairwise tests between two levels can be selected in the table. The pairwise test will be performed on all pairs and presented in a table. The t-test is a standard student t-test with equal variance. The p-value from the Wilcoxon test, which is the same as the Mann-Whitney test, is calculated as an exact value for small sample size and by the Normal distribution approximation for large sample sizes. The p-values are two-sided.
Paired test
A pairing factor must be selected. Samples with the same level for the pairing factor can be paired. An example of a pairing factor is "Patient" and the levels are the patient ids or names. For each patient, two or more samples are measured.
The comparison factor is the factor for which the levels will be compared. When two levels of the comparison factor are compared, the pairs of samples are defined as follows. For each pairing factor level, there must be exactly one sample for each of the two comparison levels with that particular pairing factor level. An example of a comparison factor is "Time" with the levels "morning" and "evening". In this case, a pairwise test will be performed between the evening and morning samples for each patient.
The t-test is performed by subtracting the values of the paired samples in the two selected comparison levels. The p-value is two-sided and tests the null hypothesis that the difference between the comparison levels is zero.
Linear regression
For the selected factor, the levels with a numeric interpretation are chosen. A level can be converted to a number if it starts with, or is, a numeric values, such as "5 days" or "12.3". For each molecule, the samples with a numeric level and a non-missing value are used for the linear regression. The intercept and slope are calculated by least square regression.
The p-value is an Anova p-value and tests the null-hypothesis that the slope is zero, i.e. low p-values imply that there is a trend with a non-zero slope. The Anova test is performed by calculating a F-statistic as the ratio where the numerator is the variation between the line and a simple mean value, and the denominator is the residual variation from the fitted line. A large F-statistic, and correspondingly low p-value, implies that the line is a much better fit than a single mean value.
Multiple hypothesis testing
Multiple hypothesis testing is performed using the Benjamini-Hochberg false discovery rate method. The columns named false discovery rate contains the q-values of the molecules.
A histogram of the p-values can be seen by tapping "histogram". High frequencies for the low p-values imply a significant difference between the groups.
Supervised classification
The supervised classifiers separate samples into two or more levels. A classifier is trained on a training set and afterwards tested on a test set.
There are three modes in which the classifiers in the app can be used; a fixed training set, leave-one-out cross validation, and k-fold cross validation.
When a fixed training set is chosen, the classifier is tested on all remaining samples, both those with actual levels matching the levels of the classifier and those with actual levels different from the levels known to the classifier. The latter type of samples can not be used to estimate the predictive power of the classifier. However, often it is still useful to know the predicted levels of these samples. For instance, if the classifier has the levels "sick" and "healthy", it might be useful to classify "borderline" samples into either "healthy" or "sick".
For leave-one-out cross validation, each sample is left out and tested with the remaining samples as the training set. In that way, each sample obtains one classified level which can be compared to the real level. Leave-one-out classification only uses the samples with levels known to the classifier.
For k-fold cross validation, the samples are divided randomly into k subsets of almost equal size; if the number of samples is not divisible by k, some subsets will be one sample larger than other subsets. Each subset is tested on a classifier trained by the remaining samples. In that way, each sample obtains one classified level which can be compared to the real level. Cross validation only uses the samples with levels that are known to the classifier.
In the special case where k is equal to the number of samples, k-fold cross validation is equal to leave-one-out cross validation. Leave-one-out cross validation has its own selection in the app because of it importance.
k nearest neighbor classification
Given a training set and a test sample, the k training samples with the smallest distances to the test sample are found. The levels of these k nearest samples are considered, and if there is a single level that constitutes a majority of the k samples, that level is chosen as the predicted level for the test sample. If no level obtains a majority alone, the test sample is considered unclassified. If the classifier has only two levels and k is odd, there is always one level with a majority. In other cases, samples might be unclassified.
The distance measure is euclidean distance. Only molecules without missing values in the combined training set and test set are included in the distance calculation.
In case of ambiguity in the k nearest neighbors due to ties in the distances, the classifier makes an arbitrary, but non-random, choice. This situation practically never occurs in real biological data.
Support vector machine classification
The support vector machine (SVM) classification uses the software library LIBSVM: "Chih-Chung Chang and Chih-Jen Lin, LIBSVM : a library for support vector machines. ACM Transactions on Intelligent Systems and Technology, 2:27:1--27:27, 2011". The LIBSVM software is available at http://www.csie.ntu.edu.tw/~cjlin/libsvm. The Amberbio app uses the LIBSVM library to train an SVM classifier and calculate the decision values and predicted classes for test samples.
Copyright for LIBSVM
Copyright (c) 2000-2014 Chih-Chung Chang and Chih-Jen Lin. All rights reserved.
Redistribution and use in source and binary forms, with or without modification, are permitted provided that the following conditions are met:
1. Redistributions of source code must retain the above copyright notice, this list of conditions and the following disclaimer.
2. Redistributions in binary form must reproduce the above copyright notice, this list of conditions and the following disclaimer in the documentation and/or other materials provided with the distribution.
3. Neither name of copyright holders nor the names of its contributors may be used to endorse or promote products derived from this software without specific prior written permission.

The SVM classifier in the app can compare two or more levels. A standard SVM classifier can directly classify two levels. Comparisons between K levels are performed by the LIBSVM library by performing all K(K - 1)/2 pairwise comparisons and selecting the level that wins most pairwise comparisons.
It is recommended to use logarithmic values for the SVM classifier. No scaling or other pre-processing is performed by the app.
For the binary classifier (two levels), a decision value is calculated. Samples with positive decision values are classified in one level and those with negative decision values in the other level. Using a variable threshold instead of a fixed zero threshold, a whole curve of classifiers is obtained. Plotting the true positive rate versus the false positive rate for variable thresholds leads to the receiver operating characteristic (ROC) curve. The area under the curve is a measure of the success of the classifier. Good classifiers have areas close to 1, whereas bad classifiers have areas close to 0.5.
The ROC curve only applies to the binary classifier. Call the two levels A and B. The true positive rate is defined as the fraction of samples with an actual level of A that are predicted to have level A. The false positive rate is defined as the fraction of samples of level B that are classified as level A. The true positive rate is also called the sensitivity. The false positive rate is equal to 1 - specificity.
The kernels are the linear kernel and the radial basis function (RBF) kernel of Gaussian functions. The parameter C is the coefficient of the error term in the optimizing function. The parameter gamma is the scale parameter in the exponent of the Gaussian function. A proper explanation can be found in any article or book about support vector machines. The app uses the same terminology as LIBSVM.
The linear kernel with default parameter is usually a good choice for biological data with many molecules and relatively few samples.
Only molecules without missing values in the training and test sets are used for the SVM.
k means clustering
K means clustering is an unsupervised clustering algorithm that divides the samples into k groups. The number of clusters, k, is user determined. The algorithm employed by the app is probabilistic and might give different results for several runs on the same data set. However, the results will be similar, and the differences are explained by movement of samples whose group membership is ambiguous. Since there is no unique biologically correct clustering in any case, the probabilistic nature of the algorithm is acceptable.
The algorithm is almost identical to the standard Lloyd algorithm. The steps are described below.
- Iterate over the entire cluster algorithm below, and take the clustering with the smallest sum of square deviation as the final result. The number of iterations is dynamic and depends on the duration for one iteration. The app should never become unresponsive by being stuck in a long computation.
-
- Assign the samples to random clusters.
- Resolve empty clusters by moving samples from the largest cluster to empty clusters.
- Iterate the following steps until the clusters are constant or a maximum limit is reached. In practice, the maximum limit is almost never needed.
-
- Calculate centroids as the average point in each cluster.
- Reassign samples to clusters. A sample belongs to the cluster whose centroid is closest.
- Resolve empty clusters by moving samples from the largest cluster to the empty clusters.
- Calculate the sum of square deviation of samples from their cluster centroid.
Sammon map
The Sammon map is a projection of the high dimensional samples to a low dimensional space. The map was invented by Sammon in 1969. (J. W. Sammon jr. A Nonlinear Mapping for Data Structure Analysis. IEEE Transactions on Computers, vol. C-18, no. 5, pp 401-409, May 1969). In this app the low dimensional space is two or three dimensional such that the samples can be visualized. The Sammon map attempts to preserve the pairwise distances between samples as much as possible.
The distances in the high dimensional space are Euclidean distances using only the molecules without missing values for the selected samples. The algorithm is described by by Kohonen ( T. Kohonen. Self Organizing Maps. Springer, 3 edition, 2001) and is iterative. The number of iterations depend on the time of one iteration; the app will never go into a long computation.
At each iteration, the algorithm loops over all pairs of samples and updates the two samples. The update moves the two points directly away from each other if their distance is too small, and moves them towards each other if it is to large. The size of the movement depends on the current distances and a variable multiplier. The multiplier starts at 0.4 and ends at a small value. The multiplier is reduced at each iteration.
The purpose of the Sammon map is to obtain a visualization of the samples and hopefully gain some biological insight. The Sammon map is an alternative to the PCA map. The Sammon map has the property that samples close to each other remain close after the projection which is not guaranteed by the PCA map.
Self organizing map
The self organizing map was invented by Kohonen (Kohonen, Teuvo (1982). "Self-Organized Formation of Topologically Correct Feature Maps". Biological Cybernetics 43 (1): 59–69).
The map works by mapping a grid of units into the space of the molecular values of the samples. In the Amberbio app the grid is made of hexagonal units with a user selected number of rows and columns. In the molecular space, only molecules without missing values are used.
The map is calculated using an iterative process. At initialization, the units are given an arbitrary starting position. In the Amberbio app, the starting positions are distinct linear combinations of the samples. In the iterative process, a random sample is chosen at each step. The random number generator is seeded such that the same map is generated on the same samples for repeat runs of the algorithm. The unit closest to the random sample is found. Call this unit the special unit. The position of all units are updated such that they move closer to the random sample. The units are updated to a weighted average of their current position and the position of the random sample. The weight is largest for the special unit and falls off according to
where the constants K and C themselves decrease exponentially for each iteration.
After generating the map, the samples are mapped to their closest unit. The plot in the app shows the grid of units with the embedded samples. In this way, the self organizing map can be used for unsupervised clustering and for visualization of the samples.
The borders between the neighboring units are colored according to the distance between the units in the molecular sample space. The borders of proximate units are light blue and the borders of distant units are dark blue.
The self organizing map can be thought of as a sheet that attempts to wrap around the samples in the high dimensional space of molecular values. The samples are projected onto the sheet and the plot shows the two dimensional grid of units with the samples embedded.


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Suisun |
15 |
Humans
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19,115 Gold |
2,041 |
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mortalkombat |
113 |
Orcs
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125,409 Gold |
2,042 |
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death2 |
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210,068 Gold |
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Angelo_Perez |
115 |
Elves
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470,931 Gold |
2,045 |
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betarazer |
83 |
Humans
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560,583 Gold |
2,046 |
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Humans
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2,047 |
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Orcs
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16,876 Gold |
2,048 |
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brney |
97 |
Humans
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49,139 Gold |
2,049 |
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SitBackAndChillOut |
76 |
Orcs
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113,024 Gold |
2,050 |
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15 |
Orcs
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48,073 Gold |
2,051 |
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15 |
Humans
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4,118 Gold |
2,052 |
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15 |
Humans
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72,720 Gold |
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75 |
Dwarves
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179,410 Gold |
2,054 |
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tedrosby |
15 |
Humans
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31,291 Gold |
2,055 |
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115 |
Undead
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jeeken |
15 |
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69,920 Gold |
2,057 |
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Undead
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8,307 Gold |
2,058 |
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15 |
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61,460 Gold |
2,059 |
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christalley06 |
115 |
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414,530 Gold |
2,060 |
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<md-input-container>
is the parent of any input or textarea element.
Input and textarea elements will not behave properly unless the md-input-container parent is provided.
expression
expression
When the given expression evaluates to true, the input container will go into error state. Defaults to erroring if the input has been touched and is invalid.
boolean
boolean
When present, placeholders will not be converted to floating labels


west brazos soccer club - Extensions
Races/Results | LJFAT.com 8/18/2012 West Brazos Soccer Club 5K. Age Group Results · Overall Results. 7 /7/2012 Fishin Fiesta 5K. Age Group Results . http://ljfat.com/races-results/
You can develop your own extensions
using the body am 34 zip.
Syntax-Highlighting Addons
Schedule - West Brazos Soccer Club The U6 Game Schedule has been updated with minor adjustments. http://www.westbrazossoccer.org/Fall_2012_Schedule.aspx
Saturday Practices | Brazos 4-H Archery Club The Brazos 4-H Archery club has weekly practices at Central Baptist Church near . We set up on the west side of the building, north of the soccer fields. http://www.brazos-4h-archery.org/saturday-practices/ in one installer (526 kb).
A simple JavaScript Formatter (47kb)West Brazos Soccer Club - Brazoria, TX - Local Business | Facebook West Brazos Soccer Club, Brazoria, TX. 129 likes · 0 talking about this. http://www.facebook.com/westbrazossoccer
Past Grant Recipients | U.S. Soccer Foundation American SCORES Cleveland (Cleveland, OH); Bavarian Soccer Club . Club ( West Fargo, ND); West of the Brazos Soccer Club (West Brazos) (Brazoria, TX) . http://www.ussoccerfoundation.org/our-grants/past-grant-recipients?print=true CertMaker for iOS and Android
West Brazos Soccer Club - Home Welcome to the West Brazos Soccer Club! Spring Soccer (in Lake Jackson). The Spring Soccer schedule is now posted here. The elections happened! http://www.westbrazossoccer.org/
Windows 8 AppContainer Loopback Utility
South Texas Soccer Referees, Inc Home Page of the South Texas Soccer Referees, Inc. . official or have been a USSF official and wish to transfer your state association to STSR, Click Here . http://www.stsr.org/ Download
Now (60kb) or
batman beyond big time
Traffic Differ
Field Maps - West Brazos Soccer Club Mar 10, 2013 . Here are links to the WBSC field maps: West Brazos Soccer . http://www.westbrazossoccer.org/FieldMaps.aspx Download now (47kb).
SAZ Clipboard
Bio - Lonestar Soccer Club : Competitive Youth Soccer : Austin, Texas JD has come back to the Lonestar Soccer Club in Austin! . and became the first South Texas Girls Coach to win Region 3 Premier League West in 2009. . Soccer Club (Boys 1997-2003), and Brazos Magic Soccer Club (Boys 1990-1997 ). http://www.lonestar-sc.com/bio.php?ct=bio&sid=114
Gallery
The Gallery extension (50kb) West Brazos Soccer Club - Fall 2012 Registration Registration is now OPEN for the Fall 2012 season - yeah us!! What do I do to . http://www.westbrazossoccer.org/Registration.aspx
West Columbia TX - Americas Best Value Inn Welcome to Americas Best Value Inn West Columbia, conveniently located off of Business . free Value Club . Play a round of golf at West Brazos Golf Course or take in a movie at the Starplex Cinemas. . Hotels near Airports |; Hotels near Baseball Parks |; Hotels near Soccer Parks |; Hotels near Amusement Parks . http://www.americasbestvalueinn.com/bestv.cfm?idp=1924
AnyWHERE (sample)
The AnyWHERE extension (40kb) Brazoria Community Organizations West Brazos Art League.<PHONE_NUMBER>. Brazoria Soccer Association. 979-798- 0235. Boys & Girls Club Brazoria.<PHONE_NUMBER>. Brazoria Softball League (Girls) . http://www.brazoriachamber.net/community/community-organizations.html
RulesTab (sample)
Austin Aztex - Wikipedia, the free encyclopedia Austin Aztex are a soccer team based in Austin, Texas, United States. . The Aztex also field a Super-20 League team in addition to the PDL team. . one over the Texas Dutch Lions on May 24, 2012 and the other over the West Texas Sockers on July 6, 2012. . PCL · Round Rock Express · TCL · Brazos Valley Bombers . http://en.wikipedia.org/wiki/Austin_Aztex
Privacy Scanner
The Privacy Scanner
(41kb) Katy Faith West wins Brazos Christian golf tournament - BrazosSports Mar 5, 2013. Faith West Academy captured the team championship at the Brazos Christian Eagle Invitational on Monday at Pebble Creek Country Club. http://www.brazossports.com/golf/article_8e8ddda9-7390-5987-82cd-4d671f4d5f70.html
Content-Blocking (sample)
The Content Blocker
sample (11kb) Clear Creek High School (League City, Texas) - Wikipedia, the free ... The school serves most of League City and the cities of Kemah, Clear Lake . Clear Creek High School Women's Soccer website, home of the Clear Creek . Alvarado; Glen Rose; Hillsboro; Kennedale; Venus; West . Bloomington; Boling; Danbury; East Bernard; El Maton Tidehaven; Schulenburg; Wallis Brazos; Weimar . http://en.wikipedia.org/wiki/Clear_Creek_High_School_(League_City,_Texas)
Image-Flipper (sample)
The Image
Flipper sample (6kb) AAU Soccer > Contacts > District Sport Directors For club and/or individual AAU membership, please call the appropriate . and on the West by and including the counties of Austin, Brazos, Colorado, Fort Bend, . http://www.aausoccer.org/Contacts/DistrictSportDirectors.aspx
3rd-Party Extensions
Game Card Tutorial - West Brazos Soccer Club West Brazos Soccer Club. P.O. Box 1724, Brazoria, TX 77422. The following . http://www.westbrazossoccer.org/Docs/WBSC_GotSoccer_GameCardTutorial.pdf
SFA Names Wally Crittenden as Women's Soccer Head Coach ... Jan 28, 2013. SEC West Division title, advancing to the NCAA Championships all three seasons. . I have been a fan of the SFA soccer program for many years, dating all the . of the Texans and Challenge Aggieland soccer clubs, thank you for all . of the Brazos Valley Youth Sports Foundation, which offered a youth . http://www.southland.org/Sports/WomensSoccer/Article/tabid/334/article/11024/SFA-Names-Wally-Crittenden-as-Women-s-Soccer-Head-Coach.aspx
neXpert Performance Report Generator
Coaching Education Course - South Texas Youth Soccer Association Date Host Association/Club Location Registration Contact/Coordinator . TX Click to Register Eric Ecklund Omar Camargo 09/01/2012 BAYSA/Brazos Valley .<PHONE_NUMBER> Ed Perry 08/24-08/26/2012 HYSA/West Houston SC Houston, TX . http://www.stxsoccer.org/CoachingEducation/CoachingEducation/
StresStimulus
Tournament Venues - Space City Football Association 2200 W Bay Area Blvd # B Friendswood, TX 77546. No controlling club. Games . League City, TX 77573. No controlling club. Games Practice Chester Davis . http://soccer.sincsports.com/TTVenues.aspx?tid=SCFA&status=Y
Watcher - Passive Security Auditor
El Paso, Texas - Wikipedia, the free encyclopedia Further west, a settlement on Coons' Rancho called Franklin became the . of around 3,000 and is solely used for the Chivas El Paso Patriots soccer club. http://en.wikipedia.org/wiki/El_Paso,_Texas
in Brazoria County, TX - National Center for Charitable Statistics 261253579, West of the Brazos Military Troop Support Inc, 03, 0, 0, 2011. 261323321, Pearland I S D Booster Club Inc Dawson Girls Soccer Booster Club, 03, 0 . http://nccsdataweb.urban.org/PubApps/geoShowOrgs.php?code=C48039&v=n
Ammonite - Security Scanner
Homes for sale in Houston - Visit RiverPark West in Richmond Nestled along the historic Brazos River, it offers a wealth of additional . 23-acre multi-purpose recreation complex that includes soccer and baseball/softball fields . Brazos River Golf, Tennis and Fitness Clubs: Riverbend Country Club . http://www.ashtonwoodshomes.com/texas/houston/richmond/riverpark-west.php?communityID=543&parentCity=1
workouts to get better pecs
x5s - Automated XSS Security Testing AssistantKACC > Community > Sports and Recreation 3133 Brazos Oak Lane, Sealy<PHONE_NUMBER> . Houston Women's Soccer Association,<PHONE_NUMBER> . West Houston Cannons Lacrosse Club, 281.237. 5521 . http://www.katychamber.com/Community/SportsandRecreation.aspx
- Detecting where safe encodings were not applied to emitted
user-inputs
- Detecting where Unicode character transformations might bypass
security filters
- Detecting where non-shortest UTF-8 encodings might bypass security
filters
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intruder21
Eclipse Soccer Club, Sugar Land Texas Eclipse Soccer Club players did more than just turn Lost Creek Park pink in . from Cy-Fair and West Brazos and a 4-2 win over Lake Jackson SC Freedom in . http://www.eclipsesoccerclub.com/news_2009.shtml
criss angel fan club
HTML Inspector
The Facts: Sports The Lake Jackson Aquatic Club, a year-round organization, recently attended a . Brazosport Exporters in the Class 4A Region III area round of the soccer . WEST COLUMBIA For 74 minutes and 31 seconds, the Columbia Lady 'Necks . http://thefacts.com/sports/
Registration Form - West Brazos Soccer Club To Complete Registration, Please Submit: 1. ) This Registration Form 2. http://www.westbrazossoccer.org/Docs/WBSC_2012_Registration_Form.pdf
WCF Binary-Encoded Message Inspector
City Of Richwood - Local Links West Columbia . Grace Community Bible Church of Brazosport . SWISS CHEROTEL Brazosport Hotel & Conference Center . Lake Jackson Soccer Club . http://www.richwoodtx.gov/local-links.htm
Chad Sowald's Request-To-Code
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Eyal's Extensions
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Thomas Deml's Export WCAT Script extension
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Per-Response Latency Extension
Sparks Named Top Prospect Out Of West Coast League by Baseball ... Aug 30, 2012 . He led the West Coast league in home runs with nine while boasting a .388 . Braden Mattson, c, Brazos Valley (So., San Jacinto, Texas, JC) . http://www.ucirvinesports.com/sports/m-basebl/2012-13/releases/20120830m63aqm
WPAD Server
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XML Request InspectorAustin Toros - Wikipedia, the free encyclopedia They had a lot of success in the NBA D-League, having made the postseason 6 out of their 11 . 201112, Western, 2nd, 33, 17 .660, Won Round 1 (Erie) 2-1 . http://en.wikipedia.org/wiki/Austin_Toros XML DataSet InspectorFull Curriculum Vitae for Mike Hanik - Texas A&M University Member, Sports Risk Management Committee, Trinity Western University, . Soccer Official, Brazos Valley Soccer Referees Association, College Station, TX . http://db.cehd.tamu.edu/Vitaes/mhanik.pdf
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JBehave automatically converts the textual representation of a parameter extracted from the candidate step with the parameter type of the matched method in the Steps class. Let's go back to our example to make this point clear. Consider a single textual step:
Given a stock of symbol STK1 and a threshold of 10.0
which we map to the Java method:
@Given("a stock of symbol $symbol and a threshold of $threshold") public void aStock(String symbol, double threshold) { // ... }
The two arguments which are identified as parameters in matching the textual step to the annotation pattern are: "STK1" and "1.0". These are converted respectively to a String and a double.
If we had comma-separated values, e.g
Given a stock of symbols STK1,STK2 and thresholds of 10.0,20.0
these would handled automatically as well, provided the type of the parameter was a List
@Given("a stock of symbols $symbols and thresholds $thresholds") public void aStock(Listsymbols, List thresholds) { // ... }
More in general, JBehave provides out-of-the-box support for Strings, numbers and the lists thereof.
At the core of the parameter conversion mechanism lies the ParameterConverters facade and the interface:
public static interface ParameterConverter { boolean accept(Type type); Object convertValue(String value, Type type); }
The built-in support for Java types is provided by implementations of this interface. Specifically:
This mechanism then allows for custom converters to be defined too. For example, let's consider the case of date conversion, a rather common one. The step would typically look like:
When a stock of symbol STK1 is traded on 09/09/2009
and the matching step is
@When("a stock of symbol $symbol is traded on $tradedOn") public void aStockIsTradedOn(String symbol, Date tradedOn) { // ... }
Out of the box, JBehave cannot know how to convert the argument value "09/09/2009" to a Date object. Date formats are far from standard. In this case, we want to use the date format "dd/MM/yyyy" and configure the parameter converter for Date type. An implementation of Date converter, backed up a SimpleDateFormat, could be:
public class DateConverter implements ParameterConverter { private final SimpleDateFormat dateFormat; public DateConverter(String dateFormat) { this.dateFormat = new SimpleDateFormat(dateFormat); } public boolean accept(Type type) { if (type instanceof Class>) { return Date.class.isAssignableFrom((Class>) type); } return false; } public Object convertValue(String value, Type type) { try { return dateFormat.parse(value); } catch (ParseException e) { throw new RuntimeException("Could not convert value "+value+" with format "+dateFormat.toPattern()); } } }
Then we configure the use of the newly defined DateConverter in our Steps class:
private static final StepsConfiguration configuration = new StepsConfiguration(); public MySteps(ClassLoader classLoader) { super(configuration); configuration.useParameterConverters(new ParameterConverters( new DateConverter("dd/MM/yyyy))); // define converter for custom type Date }


The Dispatch router is an AMQP message message router that provides advanced interconnect capabilities. It allows flexible routing of messages between any AMQP-enabled endpoints, whether they be clients, servers, brokers or any other entity that can send or receive standard AMQP messages.
A messaging client can make a single AMQP connection into a messaging bus built of Dispatch routers and, over that connection, exchange messages with one or more message brokers, and at the same time exchange messages directly with other endpoints without involving a broker at all.
The router is an intermediary for messages but it is not a broker. It does not take responsibility for messages. It will, however, propagate settlement and disposition across a network such that delivery guarantees are met. In other words: the router network will deliver the message, possibly via several intermediate routers, and it will route the acknowledgement of that message by the ultimate receiver back across the same path. This means that responsibility for the message is transfered from the original sender to the ultimate receiver as if they were directly connected. However this is done via a flexible network that allows highly configurable routing of the message transparent to both sender and receiver.
There are some patterns where this enables “brokerless messaging” approaches that are preferable to brokered approaches. In other cases a broker is essential (in particular where you need the separation of responsibility and/or the buffering provided by store-and-forward) but a dispatch network can still be useful to tie brokers and clients together into patterns that are difficult with a single broker.
For a “brokerless” example, consider the common brokered implementation of the request-response pattern, a client puts a request on a queue and then waits for a reply on another queue. In this case the broker can be a hindrance - the client may want to know immediatly if there is nobody to serve the request, but typically it can only wait for a timeout to discover this. With a dispatch network, the client can be informed immediately if its message cannot be delivered because nobody is listening. When the client receives acknowledgement of the request it knows not just that it is sitting on a queue, but that it has actually been received by the server.
For an exampe of using dispatch to enhance the use of brokers, consider using an array of brokers to implement a scalable distributed work queue. A dispatch network can make this appear as a single queue, with senders publishing to a single address and receivers subscribing to a single address. The dispatch network can distribute work to any broker in the array and collect work from any broker for any receiver. Brokers can be shut down or added without affecting clients. This elegantly solves the common difficulty of “stuck messages” when implementing this pattern with brokers alone. If a receiver is connected to a broker that has no messages, but there are messages on another broker, you have to somehow transfer them or leave them “stuck”. With a dispatch network, all the receivers are connected to all the brokers. If there is a message anywhere it can be delivered to any receiver.
The router is meant to be deployed in topologies of multiple routers, preferably with redundant paths. It uses link-state routing protocols and algorithms (similar to OSPF or IS-IS from the networking world) to calculate the best path from every point to every other point and to recover quickly from failures. It does not need to use clustering for high availability; rather, it relies on redundant paths to provide continued connectivity in the face of system or network failure. Because it never takes responsibility for messages it is effectively stateless. Messages not delivered to their final destination will not be acknowledged to the sender and therefore the sender can re-send such messages if it is disconnected from the network.
Simplifies connectivity
Provides messaging connectivity where there is no TCP/IP connectivity
Simplifies reliability
Apache Qpid, Messaging built on AMQP; Copyright © 2015 The Apache Software Foundation; Licensed under the Apache License, Version 2.0; Apache Qpid, Qpid, Qpid Proton, Proton, Apache, the Apache feather logo, and the Apache Qpid project logo are trademarks of The Apache Software Foundation; All other marks mentioned may be trademarks or registered trademarks of their respective owners


Rectangle of width x height .
More...
#include <Geometry.h>
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void | setWidth (size_t width) |
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void | setHeight (size_t height) |
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void | setArea (size_t width, size_t height) |
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void | setArea (const AreaGeometry &g) |
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size_t | getWidth () const |
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size_t | getHeight () const |
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size_t | getArea () const |
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void | toOStr (std::ostream &ostr) const |
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size_t | width |
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size_t | height |
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Rectangle of width x height .
Rectangle of width x height .
The documentation for this class was generated from the following files:


[Elsevier] Collaboration between NCSU, RAISE and LexisNexis shows link between research and policy
Exploring AI and SE synergies
Data-Driven SBSE


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Bacon is an approach to age-depth modelling that uses Bayesian statistics to reconstruct accumulation histories for deposits, through combining radiocarbon and other dates with prior information. See Blaauw & Christen (2011) <doi:10.1214/11-BA618>.
| Version: | 2.3.4 |
| Imports: | Rcpp (≥ 0.12.12), coda (≥ 0.19-1), grDevices, graphics, stats, utils |
| LinkingTo: | Rcpp |
| Published: | 2018-04-15 |
| Author: | Maarten Blaauw [aut, cre], J. Andres Christen [aut], Judith Esquivel Vazquez [ctb], Ted Belding [cph], James Theiler [cph], Brian Gough [cph], Charles Karney [cph] |
| Maintainer: | Maarten Blaauw <maarten.blaauw at qub.ac.uk> |
| License: | GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
| NeedsCompilation: | yes |
| Materials: | NEWS |
| CRAN checks: | rbacon results |
| Reference manual: | rbacon.pdf |
| Package source: | rbacon_2.3.4.tar.gz |
| Windows binaries: | r-devel: rbacon_2.3.4.zip, r-release: rbacon_2.3.4.zip, r-oldrel: rbacon_2.3.4.zip |
| OS X binaries: | r-release: rbacon_2.3.4.tgz, r-oldrel: rbacon_2.3.4.tgz |
| Old sources: | rbacon archive |
Please use the canonical form https://CRAN.R-project.org/package=rbacon to link to this page.


Intresting Facts about camel
⚫Camel's ears are furry.
⚪Camel can easily move across the sand because of it's specially designed feet.
⚫When they find water , they will drink as much as possible.
Intresting Facts about Chameleon
⚫Chameleons are reptiles that are the part of the iguana family .
⚪Changing skin color is an important part of communication among the CHAMELEONS.
⚫Most Chameleons have a prehensile tail that they used to wrap arount the tree branches.