The $templateRequest
service downloads the provided template using $http
and, upon success,
stores the contents inside of $templateCache
. If the HTTP request fails or the response data
of the HTTP request is empty, a $compile
error will be thrown (the exception can be thwarted
by setting the 2nd parameter of the function to true).
$templateRequest(tpl, [ignoreRequestError]);
| Param | Type | Details |
|---|---|---|
| tpl | string |
The HTTP request template URL |
|
ignoreRequestError
(optional)
|
boolean |
Whether or not to ignore the exception when the request fails or the template is empty |
| Promise | a promise for the HTTP response data of the given URL. |
totalPendingRequests
| number | total amount of pending template requests being downloaded. |


WARNING: Choose a unique Username+Password.  Additionally, make sure your session name isn't shared by any of your other sessions on your other devices.


Blood procurement in Malaysia is centred on voluntary non-remunerated sources (Ministry of Health Malaysia, 2006). On this basis, total number of blood donations from mobile sites, blood collection centres, and hospitals increased by 86.7% from 361,898 to 675,315 cases between 2000–2014 (Figure 1). Total number of blood transfusions increased by 123.5% from 151,504 to 338,598 times during the same period. By type of donors, greater growth is seen among repeat donors (37.1%) than new donors (13.3%) between 2008–2014 (Ministry of Health Malaysia, 2006; 2007; 2009; 2011; 2014).
Despite the growth in total donor numbers, chronic blood shortages still persist amidst dwindling donor population and rising demand (Wooi Seong, Raffeal and Ayob, 2014). In fact, the blood donation rate in Malaysia is still low as only 2.2% of the entire population are donors compared to 3.5%–5.0% recorded in developed countries in 2014 (Bernama, 2015). While the World Health Organization (WHO) states that blood donation rates are 33.1, 11.7, and 4.6 donations per 1000 people for high-, middle-, and low-income countries, respectively (World Health Organization, 2016), the current Malaysian scenario translates to only 22.5 donations per 1000 people. This suggests that much needs to be done to improve donation rates ahead of the Malaysian government's target dateline of attaining industrialised nation status by 2020 (Jabatan Perdana Menteri, 2010).


|
Interfaces
IterationMonitor IterativeSolver Tolerance |
|
Classes
AbsoluteTolerance CountMonitor IteratesMonitor IterativeSolver.Problem NullMonitor RelativeTolerance |
|
Enums
IterativeSolver.ConvergenceFailure.Reason |
|
Exceptions
IterativeSolver.ConvergenceFailure |


Signaling kinase AMPK activates stress-promoted transcription via histone H2B phosphorylation.
The mammalian adenosine monophosphate-activated protein kinase (AMPK) is a serine-threonine kinase protein complex that is a central regulator of cellular energy homeostasis. However, the mechanisms by which AMPK mediates cellular responses to metabolic stress remain unclear. We found that AMPK activates transcription through direct association with chromatin and phosphorylation of histone H2B at serine 36. AMPK recruitment and H2B Ser36 phosphorylation colocalized within genes activated by AMPK-dependent pathways, both in promoters and in transcribed regions. Ectopic expression of H2B in which Ser36 was substituted by alanine reduced transcription and RNA polymerase II association to AMPK-dependent genes, and lowered cell survival in response to stress. Our results place AMPK-dependent H2B Ser36 phosphorylation in a direct transcriptional and chromatin regulatory pathway leading to cellular adaptation to stress.


Here you can add, edit or remove book details. You can't remove book details if there are existing book copies of such book.
| ISBN | {{bookDetails.isbn}} | Title | {{bookDetails.title}} | Authors | {{bookDetails.authors | arrToStr:'author'}} | Categories | {{bookDetails.categories | arrToStr:'category'}} | Description | {{bookDetails.description | limitTo: 200}} | Cover picture |
|
Publication date | {{bookDetails.publicationDate | date: 'dd/MM/yyyy'}} | Actions |
|
|---|


1.16. Probability calibration¶
When performing classification you often want not only to predict the class
label, but also obtain a probability of the respective label. This probability
gives you some kind of confidence on the prediction. Some models can give you
poor estimates of the class probabilities and some even do not support
probability prediction (e.g., some instances of
SGDClassifier
).
The calibration module allows you to better calibrate
the probabilities of a given model, or to add support for probability
prediction.
Well calibrated classifiers are probabilistic classifiers for which the output of the predict_proba method can be directly interpreted as a confidence level. For instance, a well calibrated (binary) classifier should classify the samples such that among the samples to which it gave a predict_proba value close to 0.8, approximately 80% actually belong to the positive class.
1.16.1. Calibration curves¶
Calibration curves (also known as reliability diagrams) compare how well the
probabilistic predictions of a binary classifier are calibrated. It plots
the true frequency of the positive label against its predicted probability,
for binned predictions.
The x axis represents the average predicted probability in each bin. The
y axis is the fraction of positives, i.e. the proportion of samples whose
class is the positive class (in each bin). The top calibration curve plot
is created with CalibrationDisplay.from_estimators
, which uses
calibration_curve
to calculate the per bin average predicted
probabilities and fraction of positives.
CalibrationDisplay.from_estimator
takes as input a fitted classifier, which is used to calculate the predicted
probabilities. The classifier thus must have predict_proba method. For
the few classifiers that do not have a predict_proba method, it is
possible to use CalibratedClassifierCV
to calibrate the classifier
outputs to probabilities.
The bottom histogram gives some insight into the behavior of each classifier by showing the number of samples in each predicted probability bin.
LogisticRegression
returns well calibrated predictions by default as it directly
optimizes Log loss. In contrast, the other methods return biased probabilities;
with different biases per method:
GaussianNB
tends to push probabilities to 0 or 1 (note the counts
in the histograms). This is mainly because it makes the assumption that
features are conditionally independent given the class, which is not the
case in this dataset which contains 2 redundant features.
RandomForestClassifier
shows the opposite behavior: the histograms
show peaks at approximately 0.2 and 0.9 probability, while probabilities
close to 0 or 1 are very rare. An explanation for this is given by
Niculescu-Mizil and Caruana 1: “Methods such as bagging and random
forests that average predictions from a base set of models can have
difficulty making predictions near 0 and 1 because variance in the
underlying base models will bias predictions that should be near zero or one
away from these values. Because predictions are restricted to the interval
[0,1], errors caused by variance tend to be one-sided near zero and one. For
example, if a model should predict p = 0 for a case, the only way bagging
can achieve this is if all bagged trees predict zero. If we add noise to the
trees that bagging is averaging over, this noise will cause some trees to
predict values larger than 0 for this case, thus moving the average
prediction of the bagged ensemble away from 0. We observe this effect most
strongly with random forests because the base-level trees trained with
random forests have relatively high variance due to feature subsetting.” As
a result, the calibration curve also referred to as the reliability diagram
(Wilks 1995 2) shows a characteristic sigmoid shape, indicating that the
classifier could trust its “intuition” more and return probabilities closer
to 0 or 1 typically.
Linear Support Vector Classification (LinearSVC
) shows an even more
sigmoid curve than RandomForestClassifier
, which is
typical for maximum-margin methods (compare Niculescu-Mizil and Caruana 1),
which focus on difficult to classify samples that are close to the decision
boundary (the support vectors).
1.16.2. Calibrating a classifier¶
Calibrating a classifier consists of fitting a regressor (called a calibrator) that maps the output of the classifier (as given by decision_function or predict_proba) to a calibrated probability in [0, 1]. Denoting the output of the classifier for a given sample by \(f_i\), the calibrator tries to predict \(p(y_i = 1 | f_i)\).
The samples that are used to fit the calibrator should not be the same samples used to fit the classifier, as this would introduce bias. This is because performance of the classifier on its training data would be better than for novel data. Using the classifier output of training data to fit the calibrator would thus result in a biased calibrator that maps to probabilities closer to 0 and 1 than it should.
1.16.3. Usage¶
The CalibratedClassifierCV
class is used to calibrate a classifier.
CalibratedClassifierCV
uses a cross-validation approach to ensure
unbiased data is always used to fit the calibrator. The data is split into k
(train_set, test_set)
couples (as determined by cv
). When ensemble=True
(default), the following procedure is repeated independently for each
cross-validation split: a clone of base_estimator
is first trained on the
train subset. Then its predictions on the test subset are used to fit a
calibrator (either a sigmoid or isotonic regressor). This results in an
ensemble of k (classifier, calibrator)
couples where each calibrator maps
the output of its corresponding classifier into [0, 1]. Each couple is exposed
in the calibrated_classifiers_
attribute, where each entry is a calibrated
classifier with a predict_proba method that outputs calibrated
probabilities. The output of predict_proba for the main
CalibratedClassifierCV
instance corresponds to the average of the
predicted probabilities of the k
estimators in the calibrated_classifiers_
list. The output of predict is the class that has the highest
probability.
When ensemble=False
, cross-validation is used to obtain ‘unbiased’
predictions for all the data, via
cross_val_predict
.
These unbiased predictions are then used to train the calibrator. The attribute
calibrated_classifiers_
consists of only one (classifier, calibrator)
couple where the classifier is the base_estimator
trained on all the data.
In this case the output of predict_proba for
CalibratedClassifierCV
is the predicted probabilities obtained
from the single (classifier, calibrator)
couple.
The main advantage of ensemble=True
is to benefit from the traditional
ensembling effect (similar to Bagging meta-estimator). The resulting ensemble should
both be well calibrated and slightly more accurate than with ensemble=False
.
The main advantage of using ensemble=False
is computational: it reduces the
overall fit time by training only a single base classifier and calibrator
pair, decreases the final model size and increases prediction speed.
Alternatively an already fitted classifier can be calibrated by setting
cv="prefit"
. In this case, the data is not split and all of it is used to
fit the regressor. It is up to the user to
make sure that the data used for fitting the classifier is disjoint from the
data used for fitting the regressor.
sklearn.metrics.brier_score_loss
may be used to assess how
well a classifier is calibrated. However, this metric should be used with care
because a lower Brier score does not always mean a better calibrated model.
This is because the Brier score metric is a combination of calibration loss
and refinement loss. Calibration loss is defined as the mean squared deviation
from empirical probabilities derived from the slope of ROC segments.
Refinement loss can be defined as the expected optimal loss as measured by the
area under the optimal cost curve. As refinement loss can change
independently from calibration loss, a lower Brier score does not necessarily
mean a better calibrated model.
CalibratedClassifierCV
supports the use of two ‘calibration’
regressors: ‘sigmoid’ and ‘isotonic’.
<IP_ADDRESS>. Sigmoid¶
The sigmoid regressor is based on Platt’s logistic model 3:
where \(y_i\) is the true label of sample \(i\) and \(f_i\) is the output of the un-calibrated classifier for sample \(i\). \(A\) and \(B\) are real numbers to be determined when fitting the regressor via maximum likelihood.
The sigmoid method assumes the calibration curve can be corrected by applying a sigmoid function to the raw predictions. This assumption has been empirically justified in the case of Support Vector Machines with common kernel functions on various benchmark datasets in section 2.1 of Platt 1999 3 but does not necessarily hold in general. Additionally, the logistic model works best if the calibration error is symmetrical, meaning the classifier output for each binary class is normally distributed with the same variance 6. This can be a problem for highly imbalanced classification problems, where outputs do not have equal variance.
In general this method is most effective when the un-calibrated model is under-confident and has similar calibration errors for both high and low outputs.
<IP_ADDRESS>. Isotonic¶
The ‘isotonic’ method fits a non-parametric isotonic regressor, which outputs
a step-wise non-decreasing function (see sklearn.isotonic
). It
minimizes:
subject to \(\hat{f}_i >= \hat{f}_j\) whenever \(f_i >= f_j\). \(y_i\) is the true label of sample \(i\) and \(\hat{f}_i\) is the output of the calibrated classifier for sample \(i\) (i.e., the calibrated probability). This method is more general when compared to ‘sigmoid’ as the only restriction is that the mapping function is monotonically increasing. It is thus more powerful as it can correct any monotonic distortion of the un-calibrated model. However, it is more prone to overfitting, especially on small datasets 5.
Overall, ‘isotonic’ will perform as well as or better than ‘sigmoid’ when there is enough data (greater than ~ 1000 samples) to avoid overfitting 1.
<IP_ADDRESS>. Multiclass support¶
Both isotonic and sigmoid regressors only
support 1-dimensional data (e.g., binary classification output) but are
extended for multiclass classification if the base_estimator
supports
multiclass predictions. For multiclass predictions,
CalibratedClassifierCV
calibrates for
each class separately in a OneVsRestClassifier fashion 4. When
predicting
probabilities, the calibrated probabilities for each class
are predicted separately. As those probabilities do not necessarily sum to
one, a postprocessing is performed to normalize them.
Examples:
References:
- 1(1,2,3)
Predicting Good Probabilities with Supervised Learning, A. Niculescu-Mizil & R. Caruana, ICML 2005
- 2
On the combination of forecast probabilities for consecutive precipitation periods. Wea. Forecasting, 5, 640–650., Wilks, D. S., 1990a
- 3(1,2)
Probabilistic Outputs for Support Vector Machines and Comparisons to Regularized Likelihood Methods. J. Platt, (1999)
- 4
Transforming Classifier Scores into Accurate Multiclass Probability Estimates. B. Zadrozny & C. Elkan, (KDD 2002)
- 5
Predicting accurate probabilities with a ranking loss. Menon AK, Jiang XJ, Vembu S, Elkan C, Ohno-Machado L. Proc Int Conf Mach Learn. 2012;2012:703-710
- 6
Beyond sigmoids: How to obtain well-calibrated probabilities from binary classifiers with beta calibration Kull, M., Silva Filho, T. M., & Flach, P. (2017).


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--- title: "SUCCULENT AGAMOGRAPH" date: "2000-01-01 21:01:04 -06:00" categories: - boredom-busters subtitle: "Home-Base Art Project" event-notes: "Free Stay-At-Home Activity" layout: "free-events" event-image: "boredom-busters/succulent-agamograph-thumb.jpg" event-dates: "" event-location: "Your Home" button-type: "register" tickets-link: "" tickets-button: "hide" registration-info: "" instructor-info: "Nature" member-cost: "" public-cost: "" published: true ---
Mind-bending art! An agamograph is a set of images that change when viewed at different angles, creating an optical illusion. Try it!
Click HERE for a larger, printable artwork.


| Home > Documentation > Configuring and administering > Configuring and administering the Apache Geronimo Server > Configuring the JMS server |
To configure the JMS Server, select JMS Server on the Console Navigation menu on the left side. You will get a list of JMS brokers available in the server and their status in the JMS Server Manager portlet. You will also be presented with the JMS Network Listeners portlet that displays all JMS network connectors.
To add a new JMS broker, click on the link Add JMS Broker. In the resulting page, you will be provided with a template for the ActiveMQ broker. The following figure illustrates the template:
It contains some customized configurations by Geronimo. It is strongly recommended that you add your own configurations based on the template file, instead of copying it from elsewhere. See the following example for configuration steps:
*
with an available port number in your machine. Be sure to keep the placeholder style; otherwise, some advanced features such as the cluster might not work due to port conflict.
Some files and folders are created after the creation of a new broker:
var/activemq/data/brokerName
will be created to hold the data for the broker.brokerName.xml
will be created in the folder var/activemq/conf
to hold your broker configuration file.where brokerName is the name that you specified for the new broker.
Openwire is the default transport for ActiveMQ. In Geronimo, you can connect to the broker by using SSL transport to clients. Use the following steps to enable a SSL transport:
<geronimo-home>/var/activemq/data/$brokerName/
directory.Details about how to configure connection factories, queues, topics and destinations are covered in the Configuring JMS resources section.
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North Korea, US could resume talks in mid-November: South Korean MP
SEOUL: North Korea and the United States could hold another round of working-level talks as soon as mid-November to expedite progress before a year-end deadline set by the North, a member of South Korea's parliament said on Monday (Nov 4).
North Korean and US officials met last month in Stockholm, for the first time since US President Donald Trump and North Korean leader Kim Jong Un agreed in June to reopen denuclearisation talks that stalled after a failed summit in Vietnam in February.
But the talks in Sweden broke off with the North's envoy saying the United States failed to show flexibility.
Both sides are expected to meet again no later than early December to get the negotiations going before a year-end deadline set by Kim, South Korean lawmaker Lee Eun-jae said after attending a briefing by the National Intelligence Service (NIS).
READ: North Korea launches two projectiles into sea, Japan and South Korea say
READ: Pompeo seeks faster progress with North Korea after rockets
There was no immediate response from the US Embassy in Seoul to a request for comment.
"The NIS expected the talks would resume this month or early December at the latest," Lee told reporters.
"It's time for them to enter negotiations in earnest after checking each other's stance in Stockholm, and there's a deadline given by Chairman Kim."
Kim is eyeing another summit with Trump in December, and could possibly visit China before that, Lee said.
Kim first set the deadline in April, when talks were stalled after the failed summit in Vietnam.
He said in a speech he would wait until the end of the year for the United States to decide to be more flexible, and suggested the deadlock had made him question his moratorium on testing nuclear weapons and long-range ballistic missiles.
Kim and Trump still play up the personal rapport they say they developed during three face-to-face meetings.
But North Korea has said in recent days it is losing patience and won't hold talks for the sake of talks.
US negotiators tried to set a time for another round of working-level talks when they met in Stockholm, but North Korean officials were uncooperative, a Seoul-based diplomat told Reuters.
A spokeswoman for Sweden's foreign ministry said it hoped the talks would be restarted soon and offered to host another meeting.
"We believe that the confidence that both parties have in us supports our ability to provide a platform for talks and we encourage them to avail themselves of the opportunity," the Swedish spokeswoman said.


McLaren duo wary of wind at United States Grand Prix
by Adam NewtonThe McLaren pairing of Carlos Sainz and Lando Norris are starting seventh and eighth for Sunday's United States Grand Prix, but they will be wary of a change in direction of wind from Saturday's qualifying session.
It was originally thought that McLaren may struggle at the Circuit of the Americas, but the duo locked out row four with an impressive qualifying performance.
However, the wind of all things could make it tough for them at lights out.
Sainz said after qualifying: "With this wind direction from the north, the car switches on – for reasons we still don’t understand.
"The wind is going to change back to FP2 so it would have a big effect on us, so heads down, analyse and make sure it doesn’t happen like in Mexico."
Teammate Norris added: "The wind favoured us a bit more today which is good and bad at the same time. Good because we took advantage of it and we have a strong position for tomorrow."


Bodhi means enlightenment, as I read on Wikipedia. That was exactly what I felt when launching my very first Linux distribution – Bodhi Linux 2.4.0.
I started my adventure by completely formatting my hard drive. I really wanted to cut the ties with my previous Windows-related life! When I launched the Bodhi Linux live CD, I was immediately welcomed by an optimistic green leaf in the center. Actually, all of the Bodhi panels/menus were ripe with floral accents. The installation concluded flawlessly and I could select my desired desktop layout. I decided to opt for a simple taskbar + system tray at the top and a quick menu for applications at the bottom. I started off with an exploration of the desktop. Everything was different, alien... Fortunately, I quickly learned what software was available to me. There was the Midori Web browser, already familiar to me from my past attempts to make Windows at least slightly more lightweight. However, in Windows Midori had the tendency to crash almost on every website running scripts. Here, though, it worked superbly! Praise Linux!
Next up was the Enlightenment File Manager. With it I was finally able to browse the content of my hard drive. Luckily, it did not differ much from Windows Explorer. The rest of the features were rather commonplace – an audio volume control, a network manager, etc.
Bodhi Linux taught me the value of simplicity. It let me rediscover the good old times when operating systems hosted only a handful of applications and could run no more than 2-3 programs at a time due to RAM limitations. I no longer needed the heavy suites offered for MS Windows. Writing was simple, watching videos was simple. Life was simple... However, Bodhi Linux was much more. I chose the 32-bit (x86) edition, but thanks to PAE (Physical Address Extension) I could still use my RAM to full capacity (4GB in total). Overall, an extremely positive experience.


Accept existing HTML, customize CSS classes and start recording asap
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I am using RockMelt, so a Chromium based browser and the weapon plots have disapeared as of the latest update of Better Battlelog. It's not a big deal to me but I thought you guys might like the feedback. Keep up the good work guys ;) Oh and please don't sign me up to any mailing list or anything :P
Browser: Mozilla/5.0 (Windows NT 6.1; WOW64) AppleWebKit/535.7 (KHTML, like Gecko) RockMelt/<IP_ADDRESS>1 Chrome/16.0.912.77 Safari/535.7
My BBLog Addon Version is: 1.4
BrainFooLong
Administrator
Hm. I must test it.
But the official support is only for the real Firefox and the real Chrome and not some "childs" of the majors.
Greetz
BrainFooLong
Administrator
Tested it, and bblog works for me in RockMelt without problems.
Greetz


--- title: North West Ambulance Service NHS Trust layout: gb ---
| Resource | Fetch | Format | Columns | Data | Valid | Entries | Oldest | Latest | Total (GBP) | |
|---|---|---|---|---|---|---|---|---|---|---|
| Spend over £25k in North West Ambulance Service NHS Trust | ||||||||||
| September 2010 Return | ✔ | ✘ | ✘ | ✘ | ✘ | 0 | ||||
| April 2010 Return | ✔ | ✘ | ✘ | ✘ | ✘ | 0 | ||||
| June 2010 Return | ✔ | ✘ | ✘ | ✘ | ✘ | 0 | ||||
| July 2010 Return | ✔ | ✘ | ✘ | ✘ | ✘ | 0 | ||||
| August 2010 Return | ✔ | ✘ | ✘ | ✘ | ✘ | 0 | ||||
| May 2010 Return | ✔ | ✘ | ✘ | ✘ | ✘ | 0 | ||||
| Spend over £25,000 in North West Ambulance Service NHS Trust | ||||||||||
| November 2010 return | ✔ | ✘ | ✘ | ✘ | ✘ | 0 | ||||
| Spend over £25,000 in North West Ambulance Service NHS Trust | ||||||||||
| October 2010 Return | ✔ | ✘ | ✘ | ✘ | ✘ | 0 | ||||
| Spend over £25,000 in North West Ambulance Service NHS Trust | ||||||||||
| December-2010-return | ✔ | ✘ | ✘ | ✘ | ✘ | 0 | ||||
| Spend over £25,000 in the North West Ambulance NHS Trust | ||||||||||
| 2011 February return | ✔ | ✘ | ✘ | ✘ | ✘ | 0 | ||||
| Spend over £25,000 in North West Ambulance Service NHS Trust | ||||||||||
| Jan-2011-return | ✔ | ✘ | ✘ | ✘ | ✘ | 0 | ||||
| financial-transactions-march-2011 | ||||||||||
| March-2011-return | ✔ | ✘ | ✘ | ✘ | ✘ | 0 | ||||
| Payments to suppliers with a value over £25000 from North West Ambulance Service NSH Trust for April 11 | ||||||||||
| April 2011 Return | ✔ | ✘ | ✘ | ✘ | ✘ | 0 |
| Resource/Stage | Error | |
| October 2010 Return | ||
| extract | HTML file detected | |
| September 2010 Return | ||
| extract | HTML file detected | |
| November 2010 return | ||
| extract | HTML file detected | |
| April 2010 Return | ||
| extract | HTML file detected | |
| June 2010 Return | ||
| extract | HTML file detected | |
| July 2010 Return | ||
| extract | HTML file detected | |
| Jan-2011-return | ||
| extract | HTML file detected | |
| August 2010 Return | ||
| extract | HTML file detected | |
| May 2010 Return | ||
| extract | HTML file detected | |
| April 2011 Return | ||
| extract | HTML file detected | |
| March-2011-return | ||
| extract | HTML file detected | |
| December-2010-return | ||
| extract | HTML file detected | |
| 2011 February return | ||
| extract | HTML file detected |


StartEvent
MessageStartEvent
SignalStartEvent
UserTask
ServiceTask
CallActivity
ExclusiveGateway
InclusiveGateway
ComplexGateway
ParallelGateway
EndEvent
TerminateEndEvent
new
init
update
toXML
fronts
front
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copy
paste


Managing Titan Contexts¶
All titan repositories are associated with a single context. Each context has a type, either Docker or Kubernetes, that defines how it manages repositories within it.
Docker contexts manage containers locally on the current workstation.
Kubernetes contexts manage containers within a Kubernetes cluster.
In both cases, there is a local container that stores the metadata associated
with the repositories and orchestrates their lifecycle. These containers are
named titan-(context)-server
and, for local docker contexts,
titan-(context)-launch
.
Context Configuration¶
Contexts are installed through the titan context install command. Each context has:
A type (“docker” or “kubernetes”)
A name (defaults to the type of not specified)
Optional context-specific parameters
The titan install command is an alias for
titan context install -t docker
, and will create a default docker context
for managing local containers.
The context configuration is stored in the .titan/config
file in your
home directory. This is a YAML file that contains a contexts
object that
is a map of context configurations, with the key being the name of the context
and the fields the following:
host
- Host to connect to. Currently always “localhost”type
- Type of the context. One of “docker” or “kubernetes”port
- Port that the context container is listening on. Selected at random when the context is installed.
While this file can be edited by hand, it is recommend to use the Titan context commands. To list available contexts, use the titan context ls command. To uninstall a context, use the titan context uninstall
Selecting Contexts¶
In most situations, a single Titan context is sufficient. When a single context is in place, repositories can simply be referenced by their name, and any new repository is created within that context.
Repositories can also be referenced by their fully qualified name,
<context>/<repository>
. This can be used to uniquely identify any repository,
even when there are multiple contexts are configured. This can also be used to
select which context to use when creating a new repository, such as
titan run mongo -n contextone/mongo
.
If the context is not specified, but there is more than one context configured, Titan will attempt to determine the appropriate context in one of two ways:
If referencing an existing repository, as opposed to creating a new repository, then Titan will try to find a repository with the matching name, but will generate an error if repositories with multiple names exist.
If creating a new repository, then the default context (as noted in the context configuration file) is used.
The default context is identified in titan context ls
output via a
” (*)” indicator. You can also get the default context with the
titan context default command. To set the default context, run
titan context default <name>
.


Gintama Characters
Main characters
Sakata Gintoki
is the main protagonist of the Gintama series. He is the founder and president of the Yorozuya, as well as a highly-skilled samurai, having fought in the Joui War in the past. During the war, he became known as the Shiroyasha (literally meaning "White Yaksha", a kind of demon in Buddhism and Hinduism) due to his powerful swordsmanship, demonic appearance, white clothing, and silver hair.
Kagura
is a member of the Yorozuya alongside Sakata Gintoki and Shinpachi Shimura and the main female protagonist of Gintama. Although she appears to be a normal, cute, human girl in Chinese-style clothing, she actually belongs to the Yato Clan, one of the strongest and most bloodthirsty of the Amanto races. The Yato people are said to have "transparent" skin that is highly sensitive to sunlight, so Kagura carries a purple parasol at all times.
Shimura Shinpachi
is a member of the Yorozuya, a samurai in training, and one of the three main protagonists of Gintama. He is one of the more normal characters of the series, delivering the requisite reality-checks or punchlines against other characters' antics. Other than working at the Yorozuya, Shinpachi is also the leader of Terakado Tsuu's fanclub: Terakado Tsuu's Imperial Guards.
Side characters
Toushirou Hijikata
is the famed chain smoking, vice commander of the Shinsengumi so named by his subordinates, because of his fearsome demeanor. Purportedly the brains behind the force, he takes his work seriously, and is fiercely loyal to his leader, Isao Kondo. Hijikata has a reputation as a fearsome leader, earning the nickname of "demonic vice-commander." He is also hot-tempered and often speaks of seppuku. However, despite his cold exterior, he does have a more compassionate side. He also has a tendency to cry after watching movies that are not particularly emotional.
Sougo Okita
is the Shinsengumi 1st Division Captain, and was a trainee at Kondou Isao's dojo in his youth. He is the younger brother of Okita Mitsuba who raised him after their parents dies. He was one of the best swordsmen there even before joining the force where he is also recognized as one of the best swordsman in the Shinsengumi. Fiercely loyal to Commander Kondou, he pretended to defect to Itou Kamotarou's camp in order to stay by his commander to ensure his safety.
Kondou Isao
is the Commander of the Shinsengumi. When not working, he is also the stalker of Shimura Tae, earning him the nickname Gorilla-stalker. His superior is Matsudaira Katakuriko, a high-ranking government officer under direct control of the Bakufu. Even though the Shinsengumi are loyal to Kondou, he often has to use the Shinsengumi Vice-Commander Hijikata Toushirou to settle them down (with harsh words or use of violence) before conducting a speech.
References:
- Gintama main Image
- Gintoki picture
- Gintoki summary
- Kagura image
- Kagura summary
- Shinpachi summary
- Shinpachi image
- Toshiro image
- Toshiro summary
- Okita image
- Okita summary
- Kondou image
- Kondou summary


PlayerUnknown's Battlegrounds (PUBG) is an online multiplayer battle royale game developed
and published by PUBG Corporation, a subsidiary of South Korean video game company
Bluehole. The game is based on previous mods that were created by Brendan "PlayerUnknown" Greene for other games, inspired by the 2000 Japanese
film Battle Royale, and expanded into a standalone game under Greene's creative direction. In the game, up to one hundred players parachute
onto an island and scavenge for weapons and equipment to kill others while avoiding getting killed themselves. The available safe area of the game's map decreases in size over time, directing surviving players into
tighter areas to force encounters. The last player or team standing wins the round.
COPYRIGHT ©2019 PUBG CORPORATION. ALL RIGHTS RESERVED.
PLAYERUNKNOWN’S BATTLEGROUNDS and PUBG are registered trademarks,
trademarks or service marks of PUBG CORPORATION.
Champeon is based on a Dense Neural Network model which has accuracy rate of more than 94%. It uses Keras model running on a Tensorflow backend which is GPU accelerated. The DataSet which is used to develop the DNN model
is consist of more than 4 million examples.
Campeon uses PUBG-API (Official) to gather the information of the recent played matches of the player just using the user name of the player(which is case sensitive)
About DNN :
The DNN is made up of 5 layers with 4 in between batch normalization layer
1. Input layer with 32 units
2. Hidden layer with 64 units
3. Hidden layer with 64 units
4. Hidden layer with 64 units
5. Output layer with 1 units
Input layer and all the 3 hidden layers uses the relu activation function
The output layers uses sigmoid function as activation fucntion.
The model is trained for 100 epochs with average time per epochs 20sec(GPU Accelerated)
Enter your userid (Case sensitive to know your win chances


Circles have been fixed so that your movement does not dispel them.
Undead improved.
Immunity fixed.
Death effect fixed, and the effect is centered on the target location rather than always on the caster.
Enchantment is now +5, dispel DC upped to 18, a d6 sonic damage added, and duration doubled. Magic staffs are also valid targets (for the smaller folk).
Duration set to hours instead of rounds. Enchantment is based on ranger levels/4 witih a minimum of +3 and a maximum of +5. The spell can now be cast on all melee weapons as well as bows, in which case it grants equivalent attack bonus and mighty properties.
This spell now does 1d8 damage per 2 levels of caster with a minimum of 10d8. Daze also occurs if the target takes damage. Area of effect is collosal radius.
This works primarily in rain and storms. May not work underground or in clear weather.
Undead improved.
Undead improved.
Heals d4 damage.
Fixed for PC movement.
Effect is centered on the target location rather than always on the caster.
Will remove temporary item properties in addition to spells on characters.
Immunity fixed.
The power of this spell has been increased to do 10d6 + 1d6 every 2 levels over level 10. Knockdown also occurs if a target takes damage.
Elemental versions summoned are slightly tougher.
Immunity fixed.
Only finds traps; does not disarm them. Adds +10 search for 1 turn every 2 levels.
Stop multiple summons bug.
The spell changed from a static DC to scale with caster's casting power.
Cures only 10d8 + level hp (along with stat losses).
Duration changed to 1 round / level.
Only cures/causes 250 hp.
Limit of 15 missiles per target.
These spells may be cast on any ranged weapon to give attack bonus and mighty properties.
Creatures last 2 rounds per level plus ten rounds.
Spellcasters made will now be given a Book of Summons. With it, a caster can set the specific creature summoned by use of a spell. Druids and clerics with animal domain need to realize that they will summon from the list of one spell level higher than the spell cast. In general, summoned monsters are tougher than they used to be.
The default creature is an improved dire bear, not a tiger.
The default creature is an improved dire tiger, not a bear.
Caster gains 2d4 strength and dexterity, d6 hit points per caster level, and +1 base attack bonus per 2 caster levels. You no longer polymorph into a doom knight so you get to keep spell slots gained via magic items that polymorphs unequip. AC bonus is now a +4 natural, not a +4 dodge. Simple and Martial Weapon Proficiencies are added to your character via a temporary feat addition to the character's currently equipped armor. 100% Spell Failure for duration, even from items.
Affects just the area, not the whole module.
Gives see invisibility, ultravision, and +20 spot.
No longer allows stacking with itself.
Damage from failing the fortitude save (after making will save) has been changed to 10d6 instead of 3d6.
Dragon substantially improved.
Damage is increased to 35d6 + 2d6/caster level over 20.
Damage increased to 10d6 + d6/2 caster levels over 20 for each of the 4 categories of damage.
Mummy substantially improved.


Vector PCLMULQDQ instructions
This bit is concatenated by software with AVX512 or AVX to indicate the different supported instructions


Q & A A film review by Sandy Grossmann Copyright 1990 Sandy Grossmann
SYNOPSIS: There's never any question that the cop under investigation in this movie is guilty. During the first five minutes, we see him commit murder. The rest of the movie probes the interrelationships between cops as well as the connections between cops and criminals. More a drama than an action film, the performances of Nolte and Assante make the film worth watching. It's a Sidney Lumet film, so expect a gritty feel.
 No sex.
The setting for our drama is New York City, and our main characters are: Al Francis Riley, the assistant D.A. (played by Timothy Hutton), Quinn, the district attorney (played by Patrick O'Neal), Mike Brennan, the cop who commits murder (played by Nick Nolte), Bobby Tex, the drug dealer (played by Armand Assante).
In most films, Nick Nolte plays a gruff-voiced but huggable teddy bear. Not so here. His character is a law-and-order cop whose 20-plus years on the force have pushed his hatred of low-life dealers and criminals to an obsession. He's the local hero of the precinct, known as the cop who always delivers, no matter what the difficulties. When he fatally shoots a two-bit criminal, no one is much interested in finding out about the details. The D.A., Quinn, calls on a young cop-turned-lawyer, Riley, to run through the Q & A (Questions and Answers) procedure. This procedure is a standard call-em-in-and-ask-em- questions routine. The outcome of a Q & A is a report with recommendations that is turned over to the grand jury, which then decides whether to press charges in the case.
The D.A. tells Riley that he wants an assistant D.A. who shares his values of law and order. Riley's father was a well-known cop of the same repute as Brennan, and the D.A. seems to be grooming Riley for a part in the intricate world of enforcement. The case that the D.A. puts him on is the shooting that began the movie. This is supposedly an open-and-shut case of self-defense, and the D.A. tells Riley to process the case ASAP so that Brennan can get back to work.
One of the witnesses is Bobby Tex. In the course of the investigation, Riley begins to doubt Brennan's testimony, but each of the witnesses whose story conflicts with Brennan's is a convicted criminal whose word means little when in direct opposition to a respected officer's word. Riley is faced with the dilemma of doing his job "right"--in other words, not being a rubber stamp--but by doing the job right, losing the respect (and backing) of the D.A., losing the camaraderie of the cops he so hungrily wants to be part of, and somehow failing in comparison with his father.
The people Riley always looked up look different up close, and he finds his heroes-- even his father--to be substantially lacking in the moral department. Even more unsettling, some of the bad guys are better than the good guys. Bobby Tex is a proud Puerto Rican whose sense of honor prevents him from falsely testifying. Yes, he's a coke dealer, but he's not the sweet Mel type of dealer that we encountered in Tequila Sunrise. Bobby has a depth of character and toughness that are nearly palpable. The contrast between Bobby and Riley is notable: beside Bobby, Riley is a wimp, and a fairly dumb one at that.
I won't comment on the rest of the plot, because information about the outcome would spoil your enjoyment of this film. Instead, let's probe those characters a bit.
Bobby Tex is the most interesting character of the film, and Armand Assante turns in a great performance. It's hard to believe that this is acting: Assante is so perfect for this part that it seems like type-casting. However, this street-wise tough guy is played by the same actor who played the French psychiatrist in Private Benjamin. Now *that's* scope.
The D.A. is a power-hungry politician, and I'm a bit tired of this stereotype. Nothing terribly new here, and a mediocre performance by O'Neal.
Riley could have been an excellent role for a good actor, but Timothy Hutton doesn't have what it takes to suggest complexity in this character. Hutton takes a very one-dimensional, straightforward approach here, projecting naivete and a childlike, trusting quality that are out of place in this film. (He's supposed to have been a street cop before he became a lawyer, and his father was a cop, too. That isn't exactly the sort of background that produces naivete and childlike trust.) What happens to his character in this film is the stuff that great roles are made of, but Hutton is simply, well, too simple to portray a multi-dimensional character.
In direct contrast with Hutton is Nolte. The easy, Hollywood interpretation of this role would be of a hard-ass racist who has complete disrespect for the law he supposedly enforces. Nolte, though, plays a passionate man whose respect for his fellow officers and workers is completely colorblind. The easy banter between the officers demonstrates an ethnic-rich humor that has nothing to do with racism. Interestingly, the script was probably somewhat ambivalent about his orientation; Nolte picked his way carefully, and he crafted a tragic character of memorable proportion.
This is not a great film, but it's a good one. Its most conspicuous flaw is that some of the characters' motivations are poorly sketched (or played) and their actions unlikely. In spite of its flaws, though, the movie is well worth seeing just for Nolte and Assante. One superior performance in a film is a rarity today. Two superior performances ? Enjoy.
.
The review above was posted to the
rec.arts.movies.reviews newsgroup (de.rec.film.kritiken for German reviews).
The Internet Movie Database accepts no responsibility for the contents of the
review and has no editorial control. Unless stated otherwise, the copyright
belongs to the author.
Please direct comments/criticisms of the review to relevant newsgroups.
Broken URLs inthe reviews are the responsibility of the author.
The formatting of the review is likely to differ from the original due
to ASCII to HTML conversion.
Related links: index of all rec.arts.movies.reviews reviews


| Class | Description |
|---|---|
| ANDTest |
ANDTest
This class solely performs AND logic test using Perceptron algorithm and Delta Rule
|
| BackpropagationTest |
BackpropagationTest
This class solely performs Backpropagation learning algorithm test
|
| BackpropagationTestSynthetic |
BackpropagationTest
This class solely performs Backpropagation learning algorithm test
|
| ChartTest |
ChartTest
This class solely performs chart generation tests
|
| DataNormalizationTest |
DataNormalizationTest
This class solely performs data normalization tests
|
| ELMTest |
ELMTest
This class solely performs ELM learning algorithm test
|
| Kohonen0DTest |
Kohonen0DTest
This class solely performs Kohonen 0D learning algorithm test
|
| Kohonen1DTest |
Kohonen1DTest
This class solely performs Kohonen 1D learning algorithm test
|
| Kohonen2DTest |
Kohonen2DTest
This class solely performs Kohonen 2D learning algorithm test
|
| LevenbergMarquardtTest |
LevenbergMarquardtTest
This class solely performs Levenberg Marquardt learning algorithm test
|
| LoadCsvTest |
LoadCsvTest
This class solely performs test to load CSV file
|
| MatrixTest |
MatrixTest
This class solely performs some tests of Matrix class
|
| NeuralNetConsoleTest |
NeuralNetConsoleTest
This class is solely used for creating and testing your very first Neural
Network in Java
|
| NeuralNetDeltaRuleTest |
NeuralNetDeltaRuleTest
This class solely performs test of Neural Net using Delta Rule
|
| NeuralNetHebbianTest |
NeuralNetHebbianTest
This class solely performs test of Neural Net using Hebbian learning algorithm
|
| NeuralNetLearnTest |
NeuralNetLearnTest
This class solely performs test of Neural Net learning process
|
| StudentProfileTest |
StudentProfileTest
This class performs test of Neural Net using profile student data, Levenberg Marquardt algorithm,
and ELM algorithm
|
| XORTest |
XORTest
This class solely performs XOR logic test using Backpropagation algorithm and Delta Rule
|


Toggle navigation
ATEC 3361
Syllabus
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Contact
Internet Studio I
ATEC 3361 Fall 2013
Oops! This is embarassing!
The file you're looking for seems to be missing.
Home Page


Structurex
Home
Sorting
Searching
Path Finding
Graph
MORE
Sieve Of Eratosthenes
Bubble Sort
Insertion Sort
Selection Sort
Merge Sort
Quick Sort
Heap Sort
Number of values:
10
20
50
100
Speed:
0.5x
1x
1.5x
2x
4x


Info/Feedback: https://redd.it/7on5it
End of transcension estimates are only accurate for active pushing, switch to Active or Hybrid ASAP if you are still playing Idle.
Check out the Root2 Outsider Calculator
Info/Feedback: https://redd.it/7on5it
End of transcension estimates are only accurate for active pushing, switch to Active or Hybrid ASAP if you are still playing Idle.
Check out the Root2 Outsider Calculator


Many desktop publisen packages and webpage editors now use.
Many desktop publisen packages and webpage editors now use.
Many desktop publisen packages and webpage editors now use.
Letraset sheets containing passages and more recently with the desktop publishing software like versions.
Letraset sheets containing passages and more recently with the desktop publishing software like versions.
Letraset sheets containing passages and more recently with the desktop publishing software like versions.
Letraset sheets containing passages and more recently with the desktop publishing software like versions.
Model and a search for will many web sites still in there versions have the years.
Read moreModel and a search for will many web sites still in there versions have the years.
Read moreModel and a search for will many web sites still in there versions have the years.
Read moreModel and a search for will many web sites still in there versions have the years.
Read moreGenerators on the Internet tend to repeat predefined chunks as necessary, making this the first true generator on the Internet.
Generators on the Internet tend to repeat predefined chunks as necessary, making this the first true generator on the Internet.
Generators on the Internet tend to repeat predefined chunks as necessary, making this the first true generator on the Internet.
Generators on the Internet tend to repeat predefined chunks as necessary, making this the first true generator on the Internet.
Generators on the Internet tend to repeat predefined chunks as necessary, making this the first true generator on the Internet.
Generators on the Internet tend to repeat predefined chunks as necessary, making this the first true generator on the Internet.
Some form by injected humour, or randomised words which don't look even slightly believable. If you are going to use a passage of Lorem Ipsum you need to be sure there isn't anything embarrassing hidden the middle of text combined with a handful of model sentence structures to generate you need to be sure there isn't anything embarrassing hidden the middle Lorem Ipsum which looks reasonable generated is therefore always.
Some form by injected humour, or randomised words which don't look even slightly believable. If you are going to use a passage of Lorem Ipsum you need to be sure there isn't anything embarrassing hidden the middle of text combined with a handful of model sentence structures to generate you need to be sure there isn't anything embarrassing hidden the middle Lorem Ipsum which looks reasonable generated is therefore always.
Some form by injected humour, or randomised words which don't look even slightly believable. If you are going to use a passage of Lorem Ipsum you need to be sure there isn't anything embarrassing hidden the middle of text combined with a handful of model sentence structures to generate you need to be sure there isn't anything embarrassing hidden the middle Lorem Ipsum which looks reasonable generated is therefore always.
All the Lorem Ipsum generators on the tend repeat predefine
All the Lorem Ipsum generators on the tend repeat predefine
All the Lorem Ipsum generators on the tend repeat predefine
When unknown printer took galley of type and scrame it make a type specimen book.
When unknown printer took galley of type and scrame it make a type specimen book.
When unknown printer took galley of type and scrame it make a type specimen book.
When unknown printer took galley of type and scrame it make a type specimen book.
Combined with a handful of model sentence structures, to generate Lorem Ipsum which looks reasonable. The generated Lorem Ipsum is therefore always.
Combined with a handful of model sentence structures, to generate Lorem Ipsum which looks reasonable. The generated Lorem Ipsum is therefore always.
Combined with a handful of model sentence structures, to generate Lorem Ipsum which looks reasonable. The generated Lorem Ipsum is therefore always.
Combined with a handful of model sentence structures, to generate Lorem Ipsum which looks reasonable. The generated Lorem Ipsum is therefore always.
Combined with a handful of model sentence structures, to generate Lorem Ipsum which looks reasonable. The generated Lorem Ipsum is therefore always.
Combined with a handful of model sentence structures, to generate Lorem Ipsum which looks reasonable. The generated Lorem Ipsum is therefore always.


WEEK 27 FRIDAY
Year 1 (Year 2)
FIRST READING Joel 1:13-15;2:1-2
“The day of the Lord God is coming, a day of darkness and gloom.”
A reading from the Book of the Prophet Joel
Put on sackcloth and lament, O priests, wail, O
ministers of the altar. Go in, pass the night in sackcloth,
O ministers of my God! Because cereal offering and drink offering are withheld
from the house of your God. Sanctify a fast, call a solemn assembly. Gather the
elders and all the inhabitants of the land to the house of the LORD your God;
and cry to the LORD. Alas for the day! For the day of the
LORD is near, and as destruction from the Almighty it comes. Blow the
trumpet in
The word of the Lord
RESPONSORIAL PSALM Psalm 9:2-3.6 and 16.8-9 (R. see 9a)
R. The Lord will rule the world with justice.
 I will rejoice in you and be glad, and sing psalms
to your name, O Most High.
R. The Lord will rule the world with justice.
You have rebuked the nations, destroyed the wicked;
you have wiped out their name for ever and ever. The nations have fallen in the
pit which they made; their feet have been caught in the snare they laid.
R. The Lord will rule the world with justice.
But the LORD sits enthroned for ever; he has set up
his throne for judgment. He will judge the world with justice; he will govern
the peoples with equity.
R. The Lord will rule the world with justice.
FIRST READING Galatians 3:7-14
“Those who are men of faith are blessed with Abraham who had faith.”
A reading from the Letter of Saint Paul to the Galatians
Brethren: You see that it is men of faith who are
the sons of Abraham. And the scripture, foreseeing that God would justify the
Gentiles by faith, preached the gospel beforehand to Abraham, saying, "In
you shall all the nations be blessed." So then, those who are men of faith
are blessed with Abraham who had faith. For all who rely on works of the law
are under a curse; for it is written, "Cursed be every one who does not
abide by all things written in the book of the law, and do them." Now it is
evident that no man is justified before God by the law; for "He who
through faith is righteous shall live"; but the law does not rest on
faith, for "He who does them shall live by them." Christ redeemed us
from the curse of the law, having become a curse for us--for it is written,
"Cursed be every one who hangs on a tree"-- that in Christ Jesus the
blessing of Abraham might come upon the Gentiles, that we might receive the
promise of the Spirit through faith.
The word of the Lord
RESPONSORIAL PSALM Psalm 111:1b-2.3-4.5-6 (R. 5b)
R. The Lord keeps his covenant ever in mind.
I will praise the LORD with all my heart, in the
meeting of the just and the assembly. Great are the works of the LORD, to be
pondered by all who delight in them.
R. The Lord keeps his covenant ever in mind.
Majestic and glorious his work; his justice stands
firm for ever. He has given us a memorial of his wonders. The LORD is gracious
and merciful.
R. The Lord keeps his covenant ever in mind.
He gives food to those who fear him; keeps his
covenant ever in mind. His mighty works he has shown to his people by giving
them the heritage of nations.
R. The Lord keeps his covenant ever in mind.
R. Alleluia. Now shall the ruler of this world be cast out, says the Lord; and I, when I am lifted up from the earth, will draw all men to myself. R. Alleluia.
GOSPEL Luke 11:15-26
“If it is by the finger of God that I cast out demons, then the kingdom of God has come upon you.”
A reading from the holy Gospel according to Luke
At that time: (When Jesus had cast out a demon,)
some of the people said, "He casts out demons by Beelzebul,
the prince of demons"; while others, to test him, sought from him a sign
from heaven. But he, knowing their thoughts, said to them, "Every kingdom
divided against itself is laid waste, and a divided
household falls. And if Satan also is divided against himself, how will his
kingdom stand? For you say that I cast out demons by Beelzebul.
And if I cast out demons by Beelzebul, by whom do
your sons cast them out? Therefore they shall be your judges. But if it is by
the finger of God that I cast out demons, then the
The Gospel of the Lord


Alyssa Frazee is a Ph.D. student in Biostatistics at the Johns Hopkins Bloomberg School of Public Health. She built derfinder, ballgown and RSkittleBrewer writes an awesome blog which has appeared on the front page of Hacker News.
Leonardo Collado Torres is a Ph.D. student in Biostatistics at the Johns Hopkins Bloomberg School of Public Health. He built the new derfinder and derfinderReport. He also writes a fantastic blog.
Prasad Patil is a Ph.D. student in Biostatistics at the Johns Hopkins Bloomberg School of Public Health. He created healthvis and is creating cross-platform, cheap genomic signatures for cancer, lupus, and other diseases.
Abhi Nellore is a postdoc in Biostatistics and Computer Science. He is co-advised with Ben Langmead and is developing tools for scalable RNA-seq analysis.
Jeff Leek is an Associate Professor of Biostatistics and Oncology at the Johns Hopkins Bloomberg School of Public Health. His research focuses on the intersection of high dimensional data analysis, genomics, and public health. He is the co-editor of the Simply Statistics Blog and co-director of the Johns Hopkins Specialization in Data Science.


I'm Tom Lee (@tglee)
I work for New Relic
on Mobile & Linux Server Monitoring
We want your braaaains
Racc is Yacc/Bison for Ruby ✔
We are talking about this ...
Rack is web server middleware ✘
... not this.
compilers 101
generalized compiler architecture
about racc
why not yacc/bison?
introducing sucklang®
the end
Translates code in some source language to a target language
(target code is usually semantically equivalent to the source)
Usually via several intermediate steps
aka lexical analyzer or tokenizer
takes raw source code as input
outputs a stream of tokens
takes tokens as input
outputs an intermediate representation
(e.g. an abstract syntax tree)
the parser "makes sense" of the token stream
parsers can be automatically generated from a grammar
programs that do this are called parser generators
Or simply grammar
describes the complete syntax of a (programming) language
usually expressed in Extended Backus-Naur Form (EBNF)
variants of EBNF often used for parser generator DSLs
aka AST
Rooted tree data structure
In-memory representation of the input program
"abstract" in that some detail is omitted
Contrast to a concrete syntax tree
Input: intermediate representation from the parse
Output: code in the target language
(e.g. x86/x64 assembly, C, JVM bytecode, JavaScript...)
For an AST, we will traverse each node in the tree
for each node, emit the corresponding target code
racc is a parser generator
http://github.com/tenderlove/racc
(by the one & only @tenderlove)
(by Minero Aoki)
write your grammar using an EBNF-y DSL
run racc my_grammar.racc
this generates Ruby code that can parse your "language"
Compilers are fun, dammit.
Fighting with C/C++, Makefiles, etc.?
Not so much.
Let's make it easier to experiment with our crazy ideas!
sucklang sucks by design
call ::= ID "(" ")"
(assume ID is /[a-zA-Z_][a-zA-Z_0-9]*/)
ohai()
racc tokens are two-element sequences
the first element is the token type
the second element is the token value
(e.g. [:ID, "ohai"]
)
Let's write a scanner!
now we need to write our racc grammar!
first, make sure you've got racc installed:
gem install racc
invoking racc (I use rbenv):
rbenv exec racc -o lib/sucklang/parser.rb \
lib/sucklang/parser.racc
hot tip: add this to a Rakefile
:)
our parser doesn't output anything yet
let's build an AST!
nearly there! the parser now constructs an AST
let's generate C code for kicks.
More complex grammars!
Symbol tables!
Code generators for different languages!
AST & peephole optimization!
... and all the hard fun stuff :)
New Relic
(my god-like employer)
BRAAAAAINS
http://newrelic.com/about/jobs
Tom Lee
(compiler nerd wannabe extraordinaire)


Written in Python, hosted as a frontend static web page, powered by Brython.
Enter your message here:


|
Winsock Programmer’s FAQ Basic Winsock Examples: Asynchronous I/O Client |
This example is based on the "MFCConsole" framework. Between that base and the FAQ-specific extensions, there are 1800 lines of generic framework code, neatly separated from the specific parts of each example based on it. You do not need to understand this framework to learn from the examples, but if you are interested, you can find information about the framework on the MFCConsole page.
The example framework has two main menu items: "Start Winsock Handler"
(Ctrl-W), and a generic "Action" item (Ctrl-A). When you give the
Start command, it calls DoWinsock()
— this is similar to
the console programs' DoWinsock()
mechanism. The main difference
in the GUI version is that DoWinsock()
doesn't call the network
handling functions directly: it just creates the object that does the
real work. Then you give the Action command to do whatever specific
thing the example does.
The unique parts of this example are in the CAsyncClientWnd class. That class derives from CNetworkDriver, a generic interface that the framework calls when you give the Start and Action commands mentioned above.
The Start()
function in this example looks up the server's
address and establishes the network connection to the server. Then the
Action()
function sends a packet for the server to echo back,
and reads/verifies the reply. If the Action command is given again,
another send/read sequence occurs. Then when the user closes the window,
the connection is gracefully shut down.
That's more or less what the simpler basic blocking client does. The tricky bit, though, is that Winsock never blocks when all of this is going on. Whenever Winsock can, it does what we ask it to immediately, but most everything on the network takes time. So, rather than stop the program to wait on the network, Winsock lets us go back to handling the UI while it waits for the network operation to complete. When it does, Winsock sends us a window message to tell us the result. This means we can handle both networking and the UI in a single thread, but it does make the program harder to write.
Here's a detailed breakdown of the run sequence:
DoWinsock()
, which creates CAsyncClientWnd, the window
object that contains the async client code.CNetworkDriver::Start()
, which our
subclass overrides. It just saves the address and port given,
and does a DNS lookup on the address. The lookup almost always
takes some time, so we usually just exit Start()
without
actually opening the connection to the server.OnWinsockLookup()
message handler. If it was a successful
lookup, we call EstablishConnection()
.EstablishConnection()
creates the socket, marks it as an
asynchronous I/O socket, and attempts the connection. Again, this
almost always takes some time, so we exit without having connected,
and wait for Winsock to tell us whether it could connect or
not.OnWinsockNotify()
message handler. This is the core of the
asynchronous I/O handling: this message handler gets called for
connections, disconnections, "data ready to read" events, and "okay
to write" events. It also gets called for errors that happen
asynchronously, like "connection refused by server". This time
through, we get an FD_CONNECT notification, which just causes us to
print a message saying that we're connected. Notice that we also get
an FD_WRITE notification, which simply means Winsock is ready to
handle send()
s.SendEcho()
function isn't as
smart as it might be: it's possible for send()
to only queue
up part of the buffer we give it. It's much rarer than the similar
case with recv()
but it can happen.)ReadReply()
functions.shutdown()
only starts the shutdown process:
we have to wait for an FD_CLOSE notification to know that the
connection is really shut down. Meanwhile, we ignore window
close requests.This client program has about 330 lines of code, compared to about 150 in the basic blocking client. That's the tradeoff for getting a program that handles both the GUI and the network in a single thread without either blocking the other.
The project package (33 KB) is a complete Visual C++ 5.0 project. It includes everything you need to build the sample.
Note that this example program is released under a different license than the other example programs. It's a BSD-style license, which means you can do anything you want with the example so long as you don't sue me or my employer. Not even if it prints 500 pages of personal insults on your customer's high-speed laser printer.
|
<< Basic Blocking Client |
CAsyncSocket-based Client >> |
| Updated Mon Sep 22 2008 12:15 MDT | Go to my home page |


Basic mtz-ajax-interceptor demo
[[statusCodeIntercepted]]
Inject additional interceptors
Trigger Interceptors


Deathbunny
"Mostly Harmless."
Registered: Oct 2001
Location: Phoenix, Arizona, USA
Posts: 1416 |
FN Manufacturing site:
(Notice the FN Five seveN... Currently the only pistol utilizing the proprietary 5.7mm SS190 round...)
P90 Page: Here
5.7mm SS190 Ammo Page: Here
H&K (German) Site:
MP5 (or is it the main SMG page?)
No, the rounds aren't interchangeable anymore...
...and it looks like the (mostly synthetic) P90 is a bit lighter than the MP5.
The Berretta M9/M92 Pistols used the same (9mm) round as the MP5, but in incompatible magazines. Rounds could be taken out of one magazine and loaded in the other.
The MP5's are availible with several (interchangeable) trigger groups controlling what types of fire are availible (see MP5 page for explanation) including semi-automatic (one shot per trigger pull) only and several combinations including fully automatic, 2-round bursts, and 3-round bursts.
The P90 is availible in a selective fire (semi + full auto) and a semi-automatic only variant.
The "scaffolding" on the P90 is the optical sight and accessory mounting points (for lasers, lights, and optics). It is intended to allow a compact design that you can still aim properly...
IIRC, in the show, Jack opted for them because he thought they would be more effective versus the Unas...
Report this post to a moderator | ? + *
|


| Package | Description |
|---|---|
| com.opengamma.strata.basics.currency |
Representations of currency and money.
|
| com.opengamma.strata.basics.index |
Entity objects describing common market indices, such as LIBOR and FED FUND.
|
| com.opengamma.strata.data |
Basic types to model market data.
|
| com.opengamma.strata.data.scenario |
Basic types to model market data across scenarios.
|
| com.opengamma.strata.measure.fx |
Calculation functions for FX products.
|
| com.opengamma.strata.pricer |
Calculators for financial instruments.
|
| com.opengamma.strata.pricer.fx |
Calculators for FX instruments, such as FX forward and FX swap.
|
| com.opengamma.strata.pricer.rate |
Calculators for rates instruments, such as Forward Rate Agreement (FRA) and interest rate swap.
|
| com.opengamma.strata.product.fx |
Entity objects describing financial instruments in the foreign exchange market.
|
| com.opengamma.strata.product.fx.type |
Conventions and templates to aid the construction of foreign exchange products.
|
| com.opengamma.strata.product.swap.type |
Conventions and templates to aid the construction of rate swaps.
|
| Modifier and Type | Method and Description |
|---|---|
CurrencyPair |
FxRate.getPair()
Gets the currency pair.
|
CurrencyPair |
CurrencyPair.inverse()
Gets the inverse currency pair.
|
static CurrencyPair |
CurrencyPair.of(Currency base,
Currency counter)
Obtains an instance from two currencies.
|
static CurrencyPair |
CurrencyPair.parse(String pairStr)
Parses a currency pair from a string with format AAA/BBB.
|
CurrencyPair |
CurrencyPair.toConventional()
Returns the market convention currency pair for the currencies in the pair.
|
| Modifier and Type | Method and Description |
|---|---|
Optional<CurrencyPair> |
CurrencyPair.cross(CurrencyPair other)
Finds the currency pair that is a cross between this pair and the other pair.
|
static Collector<? super Map.Entry<CurrencyPair,Double>,FxMatrixBuilder,FxMatrix> |
FxMatrix.entriesToFxMatrix()
Creates a
Collector that allows a Map.Entry of currency pair to rate
to be streamed and collected into a new FxMatrix . |
static Set<CurrencyPair> |
CurrencyPair.getAvailablePairs()
Obtains the set of configured currency pairs.
|
MetaProperty<CurrencyPair> |
FxRate.Meta.pair()
The meta-property for the
pair property. |
static Collector<? super Pair<CurrencyPair,Double>,FxMatrixBuilder,FxMatrix> |
FxMatrix.pairsToFxMatrix()
Creates a
Collector that allows a collection of pairs each containing
a currency pair and a rate to be streamed and collected into a new FxMatrix . |
| Modifier and Type | Method and Description |
|---|---|
FxMatrixBuilder |
FxMatrixBuilder.addRate(CurrencyPair currencyPair,
double rate)
Adds a new rate for a currency pair to the builder.
|
Optional<CurrencyPair> |
CurrencyPair.cross(CurrencyPair other)
Finds the currency pair that is a cross between this pair and the other pair.
|
default double |
FxRateProvider.fxRate(CurrencyPair currencyPair)
Gets the FX rate for the specified currency pair.
|
boolean |
CurrencyPair.isInverse(CurrencyPair other)
Checks if this currency pair is the inverse of the specified pair.
|
static FxRate |
FxRate.of(CurrencyPair pair,
double rate)
Obtains an instance from a currency pair.
|
static FxMatrix |
FxMatrix.of(CurrencyPair currencyPair,
double rate)
Obtains an instance containing a single FX rate.
|
| Modifier and Type | Method and Description |
|---|---|
FxMatrixBuilder |
FxMatrixBuilder.addRates(Map<CurrencyPair,Double> rates)
Adds a collection of new rates for currency pairs to the builder.
|
| Modifier and Type | Method and Description |
|---|---|
CurrencyPair |
ImmutableFxIndex.getCurrencyPair()
Gets the currency pair.
|
CurrencyPair |
FxIndexObservation.getCurrencyPair()
Gets the currency pair of the FX index.
|
CurrencyPair |
FxIndex.getCurrencyPair()
Gets the currency pair of the index.
|
| Modifier and Type | Method and Description |
|---|---|
MetaProperty<CurrencyPair> |
ImmutableFxIndex.Meta.currencyPair()
The meta-property for the
currencyPair property. |
| Modifier and Type | Method and Description |
|---|---|
ImmutableFxIndex.Builder |
ImmutableFxIndex.Builder.currencyPair(CurrencyPair currencyPair)
Sets the currency pair.
|
| Modifier and Type | Method and Description |
|---|---|
CurrencyPair |
FxRateId.getPair()
Gets the currency pair that is required.
|
| Modifier and Type | Method and Description |
|---|---|
MetaProperty<CurrencyPair> |
FxRateId.Meta.pair()
The meta-property for the
pair property. |
| Modifier and Type | Method and Description |
|---|---|
static FxRateId |
FxRateId.of(CurrencyPair currencyPair)
Obtains an instance representing the FX rate for a currency pair.
|
static FxRateId |
FxRateId.of(CurrencyPair currencyPair,
ObservableSource observableSource)
Obtains an instance representing the FX rate for a currency pair, specifying the source.
|
| Modifier and Type | Method and Description |
|---|---|
CurrencyPair |
FxRatesArray.getPair()
Gets the currency pair.
|
| Modifier and Type | Method and Description |
|---|---|
MetaProperty<CurrencyPair> |
FxRatesArray.Meta.pair()
The meta-property for the
pair property. |
| Modifier and Type | Method and Description |
|---|---|
static FxRatesArray |
FxRatesArray.of(CurrencyPair currencyPair,
DoubleArray rates)
Returns an array of FX rates for a currency pair.
|
| Modifier and Type | Method and Description |
|---|---|
MetaProperty<ImmutableMap<CurrencyPair,QuoteId>> |
FxRateConfig.Meta.observableRates()
The meta-property for the
observableRates property. |
| Modifier and Type | Method and Description |
|---|---|
Optional<QuoteId> |
FxRateConfig.getObservableRateKey(CurrencyPair currencyPair)
Returns a key identifying the market quote for an observable FX rate.
|
| Modifier and Type | Method and Description |
|---|---|
FxRateConfig.Builder |
FxRateConfig.Builder.observableRates(Map<CurrencyPair,QuoteId> observableRates)
Sets the keys identifying FX rates which are observable in the market.
|
static FxRateConfig |
FxRateConfig.of(Map<CurrencyPair,QuoteId> quotesMap)
Returns FX rate configuration built using the data in the map.
|
| Modifier and Type | Method and Description |
|---|---|
default double |
BaseProvider.fxRate(CurrencyPair currencyPair)
Gets the FX rate for the specified currency pair on the valuation date.
|
| Modifier and Type | Method and Description |
|---|---|
CurrencyPair |
FxVolatilitySurfaceYearFractionParameterMetadata.getCurrencyPair()
Gets the currency pair that describes the node.
|
CurrencyPair |
FxOptionSensitivity.getCurrencyPair()
Gets the currency pair for which the sensitivity is presented.
|
CurrencyPair |
FxForwardSensitivity.getCurrencyPair()
Gets the currency pair for which the sensitivity is computed.
|
CurrencyPair |
FxForwardRates.getCurrencyPair()
Gets the currency pair.
|
CurrencyPair |
DiscountFxForwardRates.getCurrencyPair()
Gets the currency pair that the rates are for.
|
CurrencyPair |
BlackVolatilitySurfaceFxProvider.getCurrencyPair()
Gets the currency pair for which the volatility data are presented.
|
CurrencyPair |
BlackVolatilityFxProvider.getCurrencyPair()
Gets the currency pair of the provider.
|
CurrencyPair |
BlackVolatilityFlatFxProvider.getCurrencyPair()
Gets the currency pair for which the volatility data are presented.
|
| Modifier and Type | Method and Description |
|---|---|
MetaProperty<CurrencyPair> |
FxVolatilitySurfaceYearFractionParameterMetadata.Meta.currencyPair()
The meta-property for the
currencyPair property. |
MetaProperty<CurrencyPair> |
FxOptionSensitivity.Meta.currencyPair()
The meta-property for the
currencyPair property. |
MetaProperty<CurrencyPair> |
FxForwardSensitivity.Meta.currencyPair()
The meta-property for the
currencyPair property. |
MetaProperty<CurrencyPair> |
DiscountFxForwardRates.Meta.currencyPair()
The meta-property for the
currencyPair property. |
MetaProperty<CurrencyPair> |
BlackVolatilitySurfaceFxProvider.Meta.currencyPair()
The meta-property for the
currencyPair property. |
MetaProperty<CurrencyPair> |
BlackVolatilityFlatFxProvider.Meta.currencyPair()
The meta-property for the
currencyPair property. |
| Modifier and Type | Method and Description |
|---|---|
RecombiningTrinomialTreeData |
ImpliedTrinomialTreeFxOptionCalibrator.calibrateTrinomialTree(double timeToExpiry,
CurrencyPair currencyPair,
RatesProvider ratesProvider,
BlackVolatilityFxProvider volatilityProvider)
Calibrate trinomial tree to Black volatilities.
|
BlackVolatilitySurfaceFxProvider.Builder |
BlackVolatilitySurfaceFxProvider.Builder.currencyPair(CurrencyPair currencyPair)
Sets the currency pair for which the volatility data are presented.
|
BlackVolatilityFlatFxProvider.Builder |
BlackVolatilityFlatFxProvider.Builder.currencyPair(CurrencyPair currencyPair)
Sets the currency pair for which the volatility data are presented.
|
static FxForwardSensitivity |
FxForwardSensitivity.of(CurrencyPair currencyPair,
Currency referenceCurrency,
LocalDate referenceDate,
Currency sensitivityCurrency,
double sensitivity)
Obtains an instance from currency pair, reference currency, reference date
sensitivity currency and sensitivity value.
|
static FxForwardSensitivity |
FxForwardSensitivity.of(CurrencyPair currencyPair,
Currency referenceCurrency,
LocalDate referenceDate,
double sensitivity)
Obtains an instance from currency pair, reference currency, reference date and sensitivity value.
|
static DiscountFxForwardRates |
DiscountFxForwardRates.of(CurrencyPair currencyPair,
FxRateProvider fxRateProvider,
DiscountFactors baseCurrencyFactors,
DiscountFactors counterCurrencyFactors)
Obtains an instance based on two discount factors, one for each currency.
|
static FxOptionSensitivity |
FxOptionSensitivity.of(CurrencyPair currencyPair,
ZonedDateTime expiryDateTime,
double strike,
double forward,
Currency currency,
double sensitivity)
Obtains an instance based on the currency pair, specifying the sensitivity currency.
|
static FxVolatilitySurfaceYearFractionParameterMetadata |
FxVolatilitySurfaceYearFractionParameterMetadata.of(double yearFraction,
Strike strike,
CurrencyPair currencyPair)
Creates node metadata using year fraction, strike and currency pair.
|
static FxVolatilitySurfaceYearFractionParameterMetadata |
FxVolatilitySurfaceYearFractionParameterMetadata.of(double yearFraction,
Strike strike,
String label,
CurrencyPair currencyPair)
Creates node using year fraction, strike, label and currency pair.
|
static BlackVolatilityFlatFxProvider |
BlackVolatilityFlatFxProvider.of(NodalCurve curve,
CurrencyPair currencyPair,
DayCount dayCount,
ZonedDateTime valuationTime)
Obtains an instance based on a curve.
|
static BlackVolatilitySurfaceFxProvider |
BlackVolatilitySurfaceFxProvider.of(Surface surface,
CurrencyPair currencyPair,
DayCount dayCount,
ZonedDateTime valuationTime)
Obtains an instance based on a surface.
|
double |
BlackVolatilitySurfaceFxProvider.volatility(CurrencyPair currencyPair,
double expiryTime,
double strike,
double forward) |
double |
BlackVolatilityFxProvider.volatility(CurrencyPair currencyPair,
double expiryTime,
double strike,
double forward)
Calculates the Black volatility.
|
double |
BlackVolatilityFlatFxProvider.volatility(CurrencyPair currencyPair,
double expiryTime,
double strike,
double forward) |
default double |
BlackVolatilityFxProvider.volatility(CurrencyPair currencyPair,
ZonedDateTime expiryDateTime,
double strike,
double forward)
Calculates the Black volatility.
|
| Modifier and Type | Method and Description |
|---|---|
FxForwardRates |
RatesProvider.fxForwardRates(CurrencyPair currencyPair)
Gets the forward FX rates for a currency pair.
|
FxForwardRates |
ImmutableRatesProvider.fxForwardRates(CurrencyPair currencyPair) |
| Modifier and Type | Method and Description |
|---|---|
CurrencyPair |
ResolvedFxSingle.getCurrencyPair()
Gets currency pair of the base currency and counter currency.
|
CurrencyPair |
FxSingle.getCurrencyPair()
Gets currency pair of the base currency and counter currency.
|
| Modifier and Type | Method and Description |
|---|---|
CurrencyPair |
ImmutableFxSwapConvention.getCurrencyPair()
Gets the currency pair associated with the convention.
|
CurrencyPair |
FxSwapTemplate.getCurrencyPair()
Gets the currency pair of the template.
|
CurrencyPair |
FxSwapConvention.getCurrencyPair()
Gets the currency pair of the convention.
|
| Modifier and Type | Method and Description |
|---|---|
MetaProperty<CurrencyPair> |
ImmutableFxSwapConvention.Meta.currencyPair()
The meta-property for the
currencyPair property. |
| Modifier and Type | Method and Description |
|---|---|
ImmutableFxSwapConvention.Builder |
ImmutableFxSwapConvention.Builder.currencyPair(CurrencyPair currencyPair)
Sets the currency pair associated with the convention.
|
static ImmutableFxSwapConvention |
ImmutableFxSwapConvention.of(CurrencyPair currencyPair,
DaysAdjustment spotDateOffset)
Obtains a convention based on the specified currency pair and spot date offset.
|
static ImmutableFxSwapConvention |
ImmutableFxSwapConvention.of(CurrencyPair currencyPair,
DaysAdjustment spotDateOffset,
BusinessDayAdjustment businessDayAdjustment)
Obtains a convention based on the specified currency pair, spot date offset and adjustment.
|
| Modifier and Type | Method and Description |
|---|---|
CurrencyPair |
XCcyIborIborSwapTemplate.getCurrencyPair()
Gets the currency pair of the template.
|
default CurrencyPair |
XCcyIborIborSwapConvention.getCurrencyPair()
Gets the currency pair of the convention.
|
Copyright 2009-Present by OpenGamma Inc. and individual contributors
Apache v2 licensed
Additional documentation can be found at opengamma.github.io/StrataDocs.


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December 9, 2019
With so many corporations out there trying to save our planet's biomes (and many more doing their best at destroying them), a young citizen may feel insignificant. They may feel as if their actions are unimportant to what large companies are doing right now. Whether or not that belief comes from the fact that they may think they're too young, regardless, the truth is that individual actions do matter. Here I'd like to suggest some ways young citizens can help.
To begin with, we must know about the impact of our own actions right now. For example, eating a diet high in red meat actually takes up lots of energy, and contributes to climate change. Other small actions that are bad for the environment include traveling by plane often, wasting food, and frequently using online shopping. Once you identify these actions that you may be doing, start small and change your habits. For example, if you eat three meals a day with meat, opt for just two meals a day, or have a day of the week where you don't eat meat at all. If you always order things online, instead try buying in local shops and markets. These actions are small, but small progress is progress nonetheless; and if small progress is done by a large number of citizens, then that results in big changes--a revolution.


My Monero Wallet
https://github.com/jotacor
Save the following information somewhere locked
Public Address
{{address}}
View Key
{{view}}
Seed
{{seed}}


Firefox uses display: list-item to show the arrow marker for the summary element.
Unfortunately we want to use display: inline-block
to 'shrink-wrap' the focus
outline around the summary text, which means that the arrow no longer shows up.
Previously in GOV.UK Elements we resolved this by targeting Firefox specifically
and reverting to display: list-item
:
@-moz-document regexp('.*') {
details summary:not([tabindex]) {
// Allow duplicate properties, override the summary display property
// scss-lint:disable DuplicateProperty
display: list-item;
display: revert;
}
}
However, @-moz-document
has been removed in Firefox nightly as of 29th Nov
2017 so with this in mind we have taken a different approach, hiding the
browser's marker and injecting and styling our own one across all browsers
instead.
This also gives us more control over the styling of the marker, allowing us for example to align the summary and disclosed text correctly across all browsers.
The downside of this approach is that older browsers that require a polyfill for the details element will display the marker even when Javascript is disabled. Whilst this is not perfect, it is a cosmetic issue and the user will still be able to access the disclosed content.
For the arrows themselves, we originally tried using unicode glyphs – specifically \25B6 (Black right-pointing triangle) and 25BC (Black down-pointing triangle) but Android insists on substituting the the former for an emoji even when the \00FE0E modifier is applied. Sad face.
Hence the border-based triangles we are using today.


convert_svg.py - Server Side SVG to PNG/JPEG/PDF conversion
Introduction
Somebody has created a wonderful SVG on the client side, but wants to save the file. This Python CGI script takes SVG code and passes it to the underlying Java-based Batik toolkit, then spits back either a link to the new file or pipes the file directly back with the proper mime type.


Inherits luwra::Reference.
Public Member Functions | |
| NativeFunction (State *state, int index) | |
| template<typename... A> | |
| void | operator() (A &&...args) |
| Public Member Functions inherited from luwra::Reference | |
| Reference (State *state, int indexOrRef, bool isIndex=true) | |
| Reference (State *state) | |
| template<typename T > | |
| T | read () |
| template<typename T > | |
| operator T () | |
Additional Inherited Members | |
| Public Attributes inherited from luwra::Reference | |
| const internal::SharedReferenceImpl | impl |
A callable native Lua function.
|
inline |
|
inline |


{% load staticfiles %}
???
{{ speaker_title}} does not understand the word: {{ missing }}. Try giving him something easier.


Top: Portability and performance issues
64-bit integers: most compilers provide long long
type modifier for declaring 64-bit integers, but at least two of them, Microsoft
C/C++ and Borland C/C++, use quite unaesthetic keyword __int64.
PTypes offers its own wrapper type large (in <pport.h>),
which is a portable signed 64-bit integer. Unsigned large
or ularge are also available. For portable 64-bit string
conversions use itostring() and stringto*()
declared in <ptypes.h>.
Another incompatibility exists for printf-style formatted output routines: Windows uses "I64" type modifier for 64-bit integers, whereas standard-compliant libraries recognize "ll" (ell-ell). PTypes solves this problem in its outstm::putf() method: you can safely use "ll" modifier on all platforms.
End-of-line sequences: PTypes input stream routines automatically recognize three types of EOL sequences: LF (UNIX), CR (Mac) and CR-LF (DOS/Win) and set instm::eol property accordingly.
As for output streams, unlike many Windows-based C run-time libraries, PTypes does NOT make any translations and always sends your data as is. In order to generate an EOL sequence appropriate to the target platform (i.e. the system your application is running on), use outstm::puteol() and outstm::putline(string). Some protocols and data formats, however, require some predetermined EOL sequence regardless of the target platform, e.g. HTTP always uses CR-LF, PostScript uses CR, etc. In such cases you can use standard C escape sequences to send appropriate codes to the output stream, e.g. "\r\n" or "\r".
File names: you can always use UNIX-style path names (with slash '/') when working with files through PTypes streaming classes. Since drive specifiers in path names are specific only to Windows, try to use relative paths in your program whenever possible. For additional notes on pipe naming, please see introduction for the namedpipe class.
Arithmetic operations and multithreading: a simple increment and decrement operation (i++ and i--) in a multithreaded application may NOT be thread-safe on most RISC CPU's and on i386-based multiprocessor systems. Even if you are not interested in the resulting value of an increment/decrement operation, still use PTypes pincrement() and pdecrement() on variables shared between threads.
Performance of dynamic strings: most of the string operations rely on dynamic memory reallocation. PTypes tries to avoid frequent use of physical reallocation by aligning the dynamic string buffers on 16, 32, 64 ... 4096-byte boundaries, depending on the logical size of a string. Physical reallocation highly depends on the performance of the standard realloc() function, which may vary from OS to OS. Linux, for example, performs reallocations up to 30 times faster than Windows on a similar computer. PTypes dynamic strings also depend on the performance of the atomic increment and decrement functions (see below).
Performance of atomic increment/decrement/exchange operations: on PowerPC and i386-based platforms PTypes implements atomic operations through short assembly language code. On other platforms, however, these operations use slower mutex locking (see src/patomic.cxx). PTypes is in desperate need of developers who can write SMP-safe atomic increment, decrement and exchange for Sparc, Alpha and other processors in assembly language. This would speed up dynamic strings and other parts of the library on these platforms.
Reentrancy of synchronization objects: the POSIX standard does not specify whether synchronization objects should be reentrant or not. For instance, if you use recursive locks on a mutex object the behaviour of your application may vary on different systems. Most POSIX systems, such like Linux, provide a faster but non-reentrant implementation of synchronization primitives.
Read/write lock portability issues: the rwlock class is built on top of the POSIX rwlock interface, wherever available, or uses the internal implementation (see src/rwlock.cxx). Various system-level implementations use different prioritization schemes: they may be 'fair' with respect to both reader and writer threads, or a higher priority may be given to one of them. Unfortunately the behaviour of rwlock is not standardized yet. PTypes' internal implementation uses the 'fair' scheme which we believe is the best and the only DoS-proof (denial-of-service) among other algorithms. On the other hand, replacing the system-level rwlock with our own implementation on all systems would lead to a preformance penalty compared to using 'native' objects. We set this issue aside for some time and we are open to discuss it with interested/experienced developers.
See also: String Conversion, outstm, namedpipe, string, Multithreading Utilities


dash.games.overview.todo_info_builds_processing_html
Your game page is ready to publish to the site for all to see!
Your game is set as being a canceled game. You can transition back to a normal game page at any time!
Your game page is currently published and active. You can hide it to remove it from the game listings. People with the link will still be able to view it.
Canceling your game will signal to everyone that you're no longer working on it. People will still be able to view the game page and access your published packages, but it will not show in game listings.
If you've transitioned development off of Game Jolt, you must remove your game instead.
Removing your game page will remove it from the site completely. This is permanent!


The Fredyframework is a PHP framework intended to ease a developers life.
The project is hosted on Github and is available for use under the MIT software license. You can report bugs and discuss features on the GitHub issues page, or send tweets to @fredyframework.
PHP 5.4
MySQL 5.6
Apache 2.4
namespace View;
use Controller\Navigation;
use Fredy\View\HTMLResponse;
class FrontendResponse extends HTMLResponse {
function __construct($templatePath, $request)
{
parent::__construct($templatePath);
$navigation = new Navigation($request);
$this->setTwigVariables(['Navigation' => $navigation->getNavigation('navigation.yaml')]);
}
}
Take care to maintain the existing coding style. Add Enter Unit Testing Framework unit tests for any new or changed functionality. Lint and test your code using Enter Build Tool Here.
After you have verified your code, send a pull request to the Enter Project Name Here develop branch. After you send a pull request, you will hear back from me shortly after I review your code. You’ll find source code in the src
subdirectory!
If you find that you need a feature that Enter Project Name Here does not currently support, either let me know via the Github issue tracker, or fork the project and and easily extend Enter Project Name Here!
Copyright © 2014 Robin Glauser


VisDA Challenge
Aeroplane
Bicycle
Bus
Car
Horse
Knife
Motorcycle
Person
Plant
Skateboard
Train
Truck


--- layout: post title: OData Workshops in Raleigh, Charlotte, Atlanta, Chicago and NYC date: 2010-06-01 17:53:20.000000000 +08:00 categories: - OData partners tags: [] status: publish type: post published: true author: OData.org Archive ---
Chris (aka Woody) Woodruff has organized a series of OData workshops to compliment the official OData Roadshow.
This is highly recommended. So if for whatever reason you can't make it to one of the OData Roadshow events, or you just can't get enough OData, see if you can get along to one of Chris' workshops.
The workshops start in Raleigh tomorrow and finish in NYC on June 28th.


Recent web applications are mainly for mobile environments. Therefore window UI is no longer mainstream. However, window UI is still useful for professional web applications for PC environments. This package is an implementation of window UI for PC environment as a Vue Component.
npm install --save @hscmap/vue-window
import Vue from 'vue'
import * as VueWindow from '@hscmap/vue-window'
Vue.use(VueWindow)
var Vue = require('vue')
Vue.use(require('@hscmap/vue-window'))
<template>
<hsc-window-style-metal>
<hsc-window title="Window 1" >
Parameters:
<fieldset>
<legend>α</legend>
<input type="range" />
</fieldset>
<fieldset>
<legend>β</legend>
<input type="range" />
</fieldset>
</hsc-window>
</hsc-window-style-metal>
</template>
Other examples are available here.
see also @hscmap/vue-menu. This is a menu UI component for vue2 with the same color themes.
Any comments, suggestions or PRs are welcome 😀
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