What is the use of the debug
method
expecting a String
array as one of its parameters?
How do I get the fully-qualified name of a class in a static block?
Can the outputs of multiple client request go to different log files?
Logger instances seem to be create only. Why isn't there a method to remove logger instances?
Is it possible to direct log output to different appenders by level?
Why can't Log4J find my properties file in a J2EE or WAR application?
Is there a way to get Log4J to automatically reload a configuration file if it changes?
Why should I donate my log4j extensions back to the project?
In case of problems with an application, it is helpful to enable
logging so that the problem can be located. With log4j it is possible
to enable logging at runtime without modifying the application binary.
The log4j package is designed so that log statements can remain in
shipped code without incurring a high performance cost. It
follows that the speed of logging (or rather not logging) is capital.
At the same time, log output can be so voluminous that it quickly
becomes overwhelming. One of the distinctive features of log4j is the
notion of hierarchical loggers. Using loggers it is
possible to selectively control which log statements are output at
arbitrary granularity.
log4j is designed with two distinct goals in mind: speed and
flexibility. There is a tight balance between these two
requirements. I believe that log4j strikes the right balance.
By fail-stop, we mean that log4j will not throw unexpected
exceptions at run-time potentially causing your application to
crash. If for any reason, log4j throws an uncaught exception,
please send an email to the<EMAIL_ADDRESS>mailing list. Uncaught exceptions are handled as serious bugs
requiring immediate attention.
Moreover, log4j will not revert to System.out or System.err
when its designated output stream is not opened, is not writable or
becomes full. This avoids corrupting an otherwise working program by
flooding the user's terminal because logging fails. However, log4j
will output a single message to System.err indicating that logging can
not be performed.
The DOMConfigurator.configure(String filename) method and its
variants require a JAXP compatible XML parser, for example Xerces or Sun's
parser. Compiling the DOMConfigurator requires the presence of a
JAXP parser in the classpath.
See the Here is an example output using PatternLayout with
the conversion pattern "%r [%t] %-5p %c{2} %x - %m%n"
The first field is the number of milliseconds elapsed since the
start of the program. The second field is the thread outputting the
log statement. The third field is the level of the log
statement. The fourth field is the rightmost two components of the
logger making the log request. The fifth field (just before the '-')
is the nested diagnostic context (NDC). Note the nested diagnostic
context may be empty as in the first two statements. The text after
the '-' is the message of the statement.
Loggers are assigned levels. A log statement is printed
depending on its level and its logger.
Make sure to read the log4j manual
for more information.
Log behavior can be set using configuration files which are parsed
at runtime. Using configuration files the programmer can define
loggers and set their levels.
The Configuration files can be specified in XML. See
See the various Layout and Appender components for specific
configuration options.
In addition to configuration files, the user may disable all
messages belonging to a set of levels. See next item.
For some logger incurs the cost of constructing the message parameter, that is
converting both integer If you are worried about speed, then write
This way you will not incur the cost of parameter construction if
debugging is disabled for logger Yes, there are.
You can name loggers by locality. It turns out
that instantiating a logger in each class, with the logger name
equal to the fully-qualified name of the class, is a useful and
straightforward approach of defining loggers. This approach has
many benefits:
However, this is not the only way for naming loggers. A common
alternative is to name loggers by functional
areas. For example, the "database" logger, "RMI" logger,
"security" logger, or the "XML" logger.
You may choose to name loggers by functionality and
subcategorize by locality, as in "DATABASE.com.foo.some.package.someClass" or
"DATABASE.com.foo.some.other.package.someOtherClass".
You are totally free in choosing the names of your
loggers. The log4j package merely allows you to manage your
names in a hierarchy. However, it is your responsibility to define
this hierarchy.
Note by naming loggers by locality one tends to name things by
functionality, since in most cases the locality relates closely to
functionality.
You can easily retrieve the fully-qualified name of a class in a
static block for class X, with the statement
Here is the suggested usage template:
Yes. Since release 0.7.0, you can extend the It is simpler to use a nested diagnostic context (NDC). Typically,
one would NDC.push() client specific information, such as the
client's hostname, ID or any other distinguishing information when
starting to handle the client's request. Thereafter, log output will
automatically include the nested diagnostic context so that you can
distinguish logs from different client requests even if they are
output to the same file.
See the For select applications, such as virtual hosting web-servers, the
NDC solution is not sufficient. As of version 0.9.0, log4j supports
multiple hierarchy trees. Thus, it is possible to log to different
targets from the same logger depending on the current context.
Thus, any setter method in Layouts options are also defined by their setter methods. Same goes
for most other log4j components.
Yes it is. Setting the Threshold option of any appender
extending AppenderSkeleton,
(most log4j appenders extend AppenderSkeleton) to filter out all log
events with lower level than the value of the threshold
option.
For example, setting the threshold of an appender to DEBUG also
allow INFO, WARN, ERROR and FATAL messages to log along with DEBUG
messages. This is usually acceptable as there is little use for DEBUG
messages without the surrounding INFO, WARN, ERROR and FATAL
messages. Similarly, setting the threshold of an appender to ERROR
will filter out DEBUG, INFO and WARN messages but not ERROR or FATAL
messages.
This policy usually best encapsulates what the user actually wants
to do, as opposed to her mind-projected solution.
See sort4.lcf
for an example threshold configuration.
If you must filter events by exact level match, then you can
attach a LevelMatchFilter
to any appender to filter out logging events by exact level match.
You may have each process log to a
The timestamp is created when the logging event is created. That is
so say, when the While this is the intended behavior, it only recently became so due to
a bug discovery between version 1.0.4 and 1.1b1. Versions 1.0.4 and before
had their timestamp regenerated in the converter. In this case the timestamps
seen in the log file would all appear in order, generated at the time they
arrived at the log server host according to its local clock.
The long answer (and what to do about it): J2EE or Servlet containers
utilize Java's class loading system. Sun changed the way classloading
works with the release of Java 2. In Java 2, classloaders are
arranged in a hierarchial parent-child relationship. When a child
classloader needs to find a class or a resource, it first delegates
the request to the parent.
Log4J only uses the default So, if you're having problems, try loading the class or resource
yourself. If you can't find it, neither will Log4J. ;)
Yes. Both the DOMConfigurator and the PropertyConfigurator support
automatic reloading through the The NT Event Viewer relies on message resource DLLs to
properly view an event message. The NTEventLogAppender.dll contains
these message resources, but that DLL must be copied to
%SYSTEMROOT%\SYSTEM32 for it to work properly.
Unfotunately, the logger names are hardcoded within the message
resource DLL (see previous question about NTEventLogAppender), so
there isn't any easy way to override those dynamically... in fact, I
don't think it's possible to do it, as you'd have to modify the DLL
resources for every application. Since most native applications don't
use the Logger column anyway...
We are very careful not to change the log4j client API so that
newer log4j releases are backward compatible with previous
versions. We are a lot less scrupulous with the internal log4j
API. Thus, if your extension is designed to work with log4j version
If your extensions are useful then someone will eventually write an
extension providing the same or very similar functionality. Your
development effort will be wasted. Unless the proprietary log4j
extension is business critical, there is little reason for not
donating your extensions back to the project.
There is nothing more irritating than finding the bugs in
debugging (i.e. logging) code. Writing a test case takes some
effort but is crucial for a widely used library such as
log4j. Writing a test case will go a long way in earning you the
respect of fellow developers. See the tests/ directory for exiting
test cases.
Alternating between indentation styles makes it hard to
understand the source code. Make it hard on yourself but easier
on others. Log4j follows the Code Conventions for
the JavaTM Programming Language.
One of the important advantages of log4j is its compatibility with
JDK 1.1.x.
It's all about the application not about logging.
Authoring software is like parenting. It takes many
years to raise a child.
The log4j project is hosted at http://jakarta.apache.org/log4j/.
What is log4j?
log4j is a tool to help the programmer output log statements to a
variety of output targets.
Is log4j a reliable logging system?
No. log4j is not reliable. It is a best-effort and fail-stop
logging system.
What are the prerequisites for log4j?
org.apache.log4j.net.SMTPAppender
relies
on the JavaMail
API. It has been tested with JavaMail API version 1.2. The
JavaMail API requires the JavaBeans
Activation Framework package.
org.apache.log4j.net.JMSAppender
requires
the presence of the JMS API as well as JNDI.
Is there example code for using log4j?
examples/
directory.
What are the features of log4j?
java.io.OutputStream
, java.io.Writer
,
a remote server using TCP, a remote Unix Syslog daemon, to a
remote listener using JMS, to the NT EventLog or even send e-mail.
Is log4j thread-safe?
Yes, log4j is thread-safe.
What does log output look like?
The log output can be customized in many ways. Moreover, one can completely
override the output format by implementing one's own Layout.
176 [main] INFO examples.Sort - Populating an array of 2 elements in reverse order.
225 [main] INFO examples.SortAlgo - Entered the sort method.
262 [main] DEBUG SortAlgo.OUTER i=1 - Outer loop.
276 [main] DEBUG SortAlgo.SWAP i=1 j=0 - Swapping intArray[0] = 1 and intArray[1] = 0
290 [main] DEBUG SortAlgo.OUTER i=0 - Outer loop.
304 [main] INFO SortAlgo.DUMP - Dump of interger array:
317 [main] INFO SortAlgo.DUMP - Element [0] = 0
331 [main] INFO SortAlgo.DUMP - Element [1] = 1
343 [main] INFO examples.Sort - The next log statement should be an error message.
346 [main] ERROR SortAlgo.DUMP - Tried to dump an uninitialized array.
at org.log4j.examples.SortAlgo.dump(SortAlgo.java:58)
at org.log4j.examples.Sort.main(Sort.java:64)
467 [main] INFO examples.Sort - Exiting main method.
What are Loggers?
Lggers lie at the heart of log4j. Loggers define a hierarchy and give
the programmer run-time control on which statements are
printed or not.
How can I change log behavior at runtime?
PropertyConfigurator
defines a particular format
of a configuration file. See also the examples/Sort.java
example and associated configuration files.
log4j.dtd
and
org.log4j.xml.DOMConfigurator
for more details.
 This, regardless of
whether the message will be logged or not.
if(l.isDebugEnabled()) {
l.debug("Entry number: " + i + " is " + String.valueOf(entry[i]));
}
l
. On the other
hand, if the logger is debug enabled, you will incur the cost of
evaluating whether the logger is enabled or not, twice: once in
debugEnabled
and once in debug
. This is an
insignificant overhead since evaluating a logger takes less than 1%
of the time it takes to actually log a statement.
Are there any suggested ways for naming
loggers?
How do I get the fully-qualified name of a class
in a static block?
X.class.getName()
. Note that X
is the class
name and not an instance. The X.class
statement does
not create a new instance of class X
.
package a.b.c;
public class Foo {
static Logger logger = Logger.getLogger(Foo.class);
... other code
}
Can the log output format be customized?
Layout
class to create you own customized log format. Appenders can be
parameterized to use the layout of your choice.
Can the outputs of multiple client request go to
different log files?
Many developers are confronted with the problem of distinguishing the
log output originating from the same class but different client
requests. They come up with ingenious mechanisms to fan out the log
output to different files. In most cases, this is not the right
approach.
NDC
and the PatternLayout
classes
for more information. The NumberCruncher
example shows
how the NDC can be used to distinguish the log output from multiple
clients even if they share the same log file.
What are the configurable options for
FooBarAppender?
Log4j uses JavaBeans style configuration.
FooBarAppender
corresponds
to a configurable option. For example, in RollingFileAppender
the setMaxBackupIndex(int
maxBackups) method corresponds to the maxBackupIndex
option. The first letter of the option can be upper case, i.e.
MaxBackupIndex
and maxBackupIndex
are
equivalent but not MAXBACKUPIndex
nor
mAXBackupIndex
.
Logger instances seem to be create only. Why isn't
there a method to remove logger instances?
It is quite nontrivial to define the semantics of a "removed" logger
which is still referenced by the user. Future releases may
include a remove method in the Logger class.
Is it possible to direct log output to
different appenders by level?
How do I get multiple process to log to the same file?
SocketAppender
.
The receiving
SocketServer
(or
SimpleSocketServer
)
can receive all the events and send them to a single
log file.
If I have many processes across multiple hosts
(possibly across multiple timezones) logging to the same file using the
method above, what happens to timestamps?
debug
, info
, warn
,
error
or fatal
method is invoked.
This is unaffected by the time at which they may arrive at a remote
socket server. Since the timestamps are stored in UTC format inside
the event, they all appear in the same timezone as the host creating the
logfile. Since the clocks of various machines may not be synchronized,
this may account for time interval inconsistencies between events generated
on different hosts.
Why can't Log4J find my properties file in a J2EE
or WAR application?
The short answer: the Log4J classes and the properties file are not
within the scope of the same classloader.Class.forName()
mechanism
for loading classes. Resources are handled similarly. See the
documentation for java.lang.ClassLoader
for more details.
Is there a way to get Log4J to
automatically reload a configuration file if it changes?
configureAndWatch
APIs.
See the API documentation for more details.
What does the Windows NT Event
Viewer complain about missing descriptions for my event messages when
I use the NTEventLogAppender?
Why can't I map my logger names
to the loggers that appear in the NT Event Log when I use the
NTEventLogAppender?
Why should I donate my extensions to log4j back to the
project?
Contrary to the GNU Public License (GPL) the Apache Software License
does not make any claims over your extensions. By extensions, we mean
totally new code that invokes existing log4j classes. You are free
to do whatever you wish with your proprietary log4j extensions.
In particular, you may choose to never release your extensions to the
wider public.
n
, then when log4j release version n+1
comes
out, you will probably need to adapt your proprietary extensions to
the new release.
Thus, you will be forced to spend precious resources in order to keep
up with log4j changes. This is commonly referred to as the
"stupid-tax." By donating the code and making it part of the standard
distribution, you save yourself the unnecessary maintenance work.
What should I keep in mind when contributing
code?
Where can I find the latest distribution of log4j?


Day 01: Arrival Delhi On arrival at Delhi airport meet our executive and transfer to hotel. Overnight stay at hotel in Delhi.
Day 02 : Delhi - Hardwar, 210 Kms.Drive (5 - 6hrs) In the morning board Shatabdi Express for Haridwar at 0600 hrs. Arrive Haridwar and meet our tour Guide. One of the seven holy cities of Hinduism. The train journey takes about 5 1/2 hours. Legend has it that Vishnu's footprint was found on the bank of the holy river Ganges, giving it it's sanctity. Situated at the base of the Shivalik Hills, Haridwar is where the River Ganga (Ganges) passes through the last mountains and begins its 2,000 km journey across the plains of India, finally terminating at the Bay of Bengal.
Day 03 : Haridwar - Barkot , 230 kms. Drive (7 - 8 hrs) Depart from Haridwar early morning and take a hearty lunch on the way in Mussoorie the attractive hill station built in the 1800s by the British during their "Raj" in India. Resume your journey descending into the Yamuna river valley after a drive over narrow and winding roads to reach Barkot in the evening after visiting the famed waterfall at Kempty village. On arrival check in the hotel. Dinner and Overnight at hotel.
Day 04 : Barkot -Yamnotri -Barkot , 30 kms Drive / 10 km by jeep/ 5 kms trek Again after an early breakfast leave for Hanuman Chatti ( Drive 32 kms ) to start the journey. A local jeep takes one to the road head at Phool chatti.. Trek 06 Kms uphill on a well constructed path to Yamunotri. One can pray at the Mother Yamuna (Yamuna Maa) temple and also take a holy Achman to start the most sacred pilgrimage to Char Dhams. In Hindu mythology, Goddess Yamuna is the daughter of Sun God, Surya, and sister of Yama, the God of Death, hence also known as Yami and according to popular legends, bathing in its sacred waters frees one from the torments of death.
Day 05 : Barkot - Uttarkashi, 100 kms Drive (5 - 6 hrs) After a relaxed breakfast, leave for Harsil, a drive of 152 kms. En route, stop at Uttarkashi for lunch. On the way stop at Gangnani for a hot water spring dip. Then continue drive towards Harsil, located on the banks of the swift flowing river Bhagirathi on its upper reaches, and surrounded by beautiful Cider trees- said to be one of the most beautiful valleys in the Uttarakhand, Prepare to spend the night at this picturesque hamlet - famous for its beautiful houses and the world famous "Wilson Apples". Overnight stay in rest house (if foreigners- night halt at Uttarkashi).
Day 06 : Harsil - Gangotri - Uttarkashi (Drive 150 kms ) Gangotri is one of the most sacred destinations for Hindus, and the holy water of the river Bhagirathi (Ganges) is stored in every Hindu household for religious purposes. So important is the Ganga and its water, that water from this river is put on the lips of the dying to ease their path to salvation. It is time tested that the water from the Ganges never turns putrid even if stored for years! Perform Pooja at the temple built in honour of Mother Ganga (interestingly by the feared Nepalese conqueror of the area General Amar Singh Thapa in the 18th Century) and relax in the peaceful surroundings of the gushing river . The sun is really bright at this altitude and one should wear a good sun cream to avoid painful sun burns. Return to hotel in the afternoon to savor some of breathtaking views of the Gangotri valley. Dinner and overnight at hotel.
Day 07 : Uttarkashi - Rudrapryag 240 kms. Drive (07-08 hrs) After a very early breakfast leave for the longest journey of the trip on the road. Late Lunch en route. On the way watch the ruins of the heritage city of Tehri partially submerged in the water of the mighty Bhagirathi river - dammed by the Tehri Dam - a man made marvel and the highest dam in Asia - a reservoir of 2.6 cubic kilometres (2,100,000 acre.ft) with a surface area of 52 square kilometres (20 sq mi). The installed hydrocapacity is 1,000 MW along with an additional 1,000 MW of pumped storage hydroelectricity. Travel onwards to reach the .beautiful Mandakini valley and get the first glimpses of river Mandakini. Travel along this valley to reach the river confluence at Rudrapryag late in the evening. On arrival check in at hotel. Overnight stay at hotel.
Day 08 : Rudrapryag - Kedarnath (72 kms Drive, 14 kms trek ) Depart immediately after breakfast and leave for Gaurikund ( 72 kms drive one way ) After a quick lunch (packed) on arrival, start the journey on the tough 14 Kms trek ahead. Arrive by late afternoon. On arrival check in Hotel/ Rest house. After freshening one has the option to perform Pooja and Darshan at the Shri Kedarnath ji shrine devoted to Lord Shiva. In the evening also visit the Adi Shankaracharya Samadhi at the back of the temple. Dinner and overnight at tourist lodge.
Day 09 : Kedarnath - Guptkashi - Pipalkoti 14 kms Trek, 32 kms drive + 135 Km After breakfast start you journey back to Gaurikund the road head. On arrival drive to Pipalkoti. On arrival check in at the hotel. Overnight stay at hotel Badrinath.
Day 10 : Pipalkoti - Sri Badrinath Ji Morning after holy dip in the warm waters of the Tapt kund, The beautiful and bustling town of Badrinath lies at an elevation of 3,415 metres (11,204 feet), on the banks of the Alaknanda River. The town lies between the Nar and Narayana mountain ranges and in the shadow of Nilkantha peak (6,560m) and attracts in excess of 650,000 visitors per year!
Day 11: Sri Badrinath Ji - Rishikesh Arrive at Rishikesh in the evening. Check into Hotel! In the late evening (around sundown) visit the Ganga river bank for the spectacular and moving Aarti- a spectacle of sights, sounds and chanting.. Rishikesh is well known for its scenic beauty and the spiritual experience. Flanked by the Shivalik range of the Himalayas. It is fabled that when Raibhya Rishi penance hard, God appeared by the name of "Hrishikesh" and this area thereafter came to be known as Rishikesh (Locks of the sage). Overnight in hotel.
Day 12: Rishikesh - Delhi, 240 Km (6-7 hrs.) Early in the morning transfer to Haridwar after breakfast- by road! Take the Ac train to Delhi. Arrival at Delhi Railway Station by mid day.Transfer to hotel. Remaining day at leisure! Over night stay at hotel.
Day 13: Delhi Departure Early morning check out form the hotel and transfer to Airport catch flight for your onward destination.
Tour & Service End.


- iAbs(int) - Static method in class com.apw.apw3.MyMath
-
Strongly-typed (not overloaded) absolute value of an integer.
- IBlobDetection - Interface in com.apw.pedestrians.blobdetect
-
- id - Variable in class com.apw.pedestrians.blobdetect.Blob
-
- id - Variable in class com.apw.pedestrians.blobdetect.BlobDetection.BlobInProgress
-
- IffyStr(boolean, String, String) - Static method in class com.apw.apw3.HandyOps
-
Strongly-typed (not overloaded) string selector.
- IImage - Interface in com.apw.pedestrians.image
-
- ImageManagementModule - Class in com.apw.ImageManagement
-
- ImageManagementModule(int, int) - Constructor for class com.apw.ImageManagement.ImageManagementModule
-
- ImageManipulator - Class in com.apw.ImageManagement
-
- ImageManipulator() - Constructor for class com.apw.ImageManagement.ImageManipulator
-
- ImagePicker - Class in com.apw.ImageManagement
-
- ImagePicker(FlyCamera, int) - Constructor for class com.apw.ImageManagement.ImagePicker
-
- imagePixels - Variable in class com.apw.ImageManagement.ImageManagementModule
-
- ImageProcessing - Class in com.apw.gpu
-
- ImageProcessing() - Constructor for class com.apw.gpu.ImageProcessing
-
- ImageWide - Static variable in class com.apw.apw3.TrakSim
-
- iMax(int, int) - Static method in class com.apw.apw3.MyMath
-
Strongly-typed (not overloaded) maximum of two integers.
- ImHaf - Static variable in class com.apw.apw3.TrakSim
-
- ImHi - Static variable in class com.apw.apw3.TrakSim
-
- iMin(int, int) - Static method in class com.apw.apw3.MyMath
-
Strongly-typed (not overloaded) minimum of two integers.
- ImMid - Static variable in class com.apw.apw3.TrakSim
-
- IMovingBlobDetection - Interface in com.apw.pedestrians.blobtrack
-
- IMovingBlobReduction - Interface in com.apw.pedestrians.blobfilter
-
- ImWi - Static variable in class com.apw.apw3.TrakSim
-
- initialize(CarControl) - Method in interface com.apw.carcontrol.Module
-
Initialize the driver constants with the ones needed for this module
- initialize(CarControl) - Method in class com.apw.ImageManagement.ImageManagementModule
-
- initialize(CarControl) - Method in class com.apw.SpeedCon.SpeedControlModule
-
- initialize(CarControl) - Method in class com.apw.Steering.SteeringModule
-
- InitIndex(int[]) - Method in class com.apw.apw3.TrakSim
-
- INPUT - Static variable in class com.apw.fakefirm.Arduino
-
- Int2Log(String, int, String) - Static method in class com.apw.apw3.HandyOps
-
Formats an integer according to its likely value and returns it
with a prefix and suffix.
- Int4bytes(boolean, byte, byte, byte, byte) - Static method in class com.apw.apw3.HandyOps
-
Packs 4 bytes into an integer with due respect to Endian-ness.
- integral - Variable in class com.apw.Steering.SteeringBase
-
- INTERRUPT_BREAK - Variable in class jssc.SerialPort.LinuxEventThread
-
- INTERRUPT_FRAME - Variable in class jssc.SerialPort.LinuxEventThread
-
- INTERRUPT_OVERRUN - Variable in class jssc.SerialPort.LinuxEventThread
-
- INTERRUPT_PARITY - Variable in class jssc.SerialPort.LinuxEventThread
-
- INTERRUPT_TX - Variable in class jssc.SerialPort.LinuxEventThread
-
- interruptBreak - Variable in class jssc.SerialPort.LinuxEventThread
-
- interruptFrame - Variable in class jssc.SerialPort.LinuxEventThread
-
- interruptOverrun - Variable in class jssc.SerialPort.LinuxEventThread
-
- interruptParity - Variable in class jssc.SerialPort.LinuxEventThread
-
- interruptTX - Variable in class jssc.SerialPort.LinuxEventThread
-
- InTrackIt() - Method in class com.apw.apw3.TrakSim
-
- InWalls - Static variable in class com.apw.apw3.TrakSim
-
- IPixel - Interface in com.apw.pedestrians.image
-
- isBREAK() - Method in class jssc.SerialPortEvent
-
Method returns true if event of type "BREAK" is received and otherwise false
- IsCrashed() - Method in class com.apw.apw3.TrakSim
-
TrakSim will crash the car (stop simulation) if it runs off the track
(or other Bad Things Happen), this tells you if it did.
- isCTS() - Method in class jssc.SerialPort
-
Get state of CTS line
- isCTS() - Method in class jssc.SerialPortEvent
-
Method returns true if event of type "CTS" is received and otherwise false
- isDSR() - Method in class jssc.SerialPort
-
Get state of DSR line
- isDSR() - Method in class jssc.SerialPortEvent
-
Method returns true if event of type "DSR" is received and otherwise false
- isERR() - Method in class jssc.SerialPortEvent
-
Method returns true if event of type "ERR" is received and otherwise false
- isLibFileExist(String) - Static method in class jssc.SerialNativeInterface
-
Is library file exists
- isLibFolderExist(String) - Static method in class jssc.SerialNativeInterface
-
Is library folder exists
- IsOpen() - Method in class com.apw.fakefirm.Arduino
-
Current status of the FakeFirmata library, =true if successfully open.
- isOpened() - Method in class jssc.SerialPort
-
Getting port state
- isRING() - Method in class jssc.SerialPort
-
Get state of RING line
- isRING() - Method in class jssc.SerialPortEvent
-
Method returns true if event of type "RING" is received and otherwise false
- isRLSD() - Method in class jssc.SerialPort
-
Get state of RLSD line
- isRLSD() - Method in class jssc.SerialPortEvent
-
Method returns true if event of type "RLSD" is received and otherwise false
- isRXCHAR() - Method in class jssc.SerialPortEvent
-
Method returns true if event of type "RXCHAR" is received and otherwise false
- isRXFLAG() - Method in class jssc.SerialPortEvent
-
Method returns true if event of type "RXFLAG" is received and otherwise false
- isTXEMPTY() - Method in class jssc.SerialPortEvent
-
Method returns true if event of type "TXEMPTY" is received and otherwise false


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Agriculture
Scholarship
Womens and Child
Scheme ID
Start Date
End Date
Result Date
Type 1
Private
Goverment
Type 2
Central
State
Type 3
Individual
Group
Scheme Name
Eligibility ID
E1
E2
E3
Application Fee


Students compete in groups to create the best heuristic to an NP-hard problem.
Students are placed in groups and receive an NP-hard problem. They are asked to design a good heuristic to the problem, create an input to the problem, and a program which, given an input and output, will verify if the output is a valid solution to the input.
Groups upload their inputs to the problem and select a team name.
Groups run all inputs on their solution program and upload their outputs to the site.
Groups verify that each solution to their input from all other groups is valid.
Groups with rejections may upload new outputs for a penalty, or protest rejections.
All outputs for all inputs become available, and teams may protest any verification.
Everyone evaluates their teammates effort to be considered in their grade.


- test - package test
-
Package for jsl.
- TestEasyKillBotAccuracy - Class in test
-
Tests accuracy for EasyKillBot.
- TestEasyKillBotAccuracy() - Constructor for class test.TestEasyKillBotAccuracy
-
- TestEasyKillBotAvoidCollisionsWithLessLife - Class in test
-
Tests to determine if the robot EasyKillBot avoids collisions
with other robots while it has less life.
- TestEasyKillBotAvoidCollisionsWithLessLife() - Constructor for class test.TestEasyKillBotAvoidCollisionsWithLessLife
-
- TestEasyKillBotAvoidDisabledStatus - Class in test
-
Tests to determine if the robot EasyKillBot avoids shooting so it can't move with no energy.
- TestEasyKillBotAvoidDisabledStatus() - Constructor for class test.TestEasyKillBotAvoidDisabledStatus
-
- TestEasyKillBotAvoidsWalls - Class in test
-
Tests to determine if the robot EasyKillBot avoids walls.
- TestEasyKillBotAvoidsWalls() - Constructor for class test.TestEasyKillBotAvoidsWalls
-
- TestEasyKillBotFiring - Class in test
-
This tests for variability in bullet power
administered by the robot EasyKillBot.
- TestEasyKillBotFiring() - Constructor for class test.TestEasyKillBotFiring
-
- TestEasyKillBotVsCorners - Class in test
-
Illustrates JUnit testing of Robocode robots.
- TestEasyKillBotVsCorners() - Constructor for class test.TestEasyKillBotVsCorners
-
- TestEasyKillBotVsCrazy - Class in test
-
Illustrates JUnit testing of Robocode robots.
- TestEasyKillBotVsCrazy() - Constructor for class test.TestEasyKillBotVsCrazy
-
- TestEasyKillBotVsFire - Class in test
-
Illustrates JUnit testing of Robocode robots.
- TestEasyKillBotVsFire() - Constructor for class test.TestEasyKillBotVsFire
-
- TestEasyKillBotVsRamFire - Class in test
-
Illustrates JUnit testing of Robocode robots.
- TestEasyKillBotVsRamFire() - Constructor for class test.TestEasyKillBotVsRamFire
-
- TestEasyKillBotVsSittingDuck - Class in test
-
Illustrates JUnit testing of Robocode robots.
- TestEasyKillBotVsSittingDuck() - Constructor for class test.TestEasyKillBotVsSittingDuck
-
- TestEasyKillBotVsSpinBot - Class in test
-
Illustrates JUnit testing of Robocode robots.
- TestEasyKillBotVsSpinBot() - Constructor for class test.TestEasyKillBotVsSpinBot
-
- TestEasyKillBotVsTracker - Class in test
-
Illustrates JUnit testing of Robocode robots.
- TestEasyKillBotVsTracker() - Constructor for class test.TestEasyKillBotVsTracker
-
- TestEasyKillBotVsWalls - Class in test
-
Illustrates JUnit testing of Robocode robots.
- TestEasyKillBotVsWalls() - Constructor for class test.TestEasyKillBotVsWalls
-


ID: 0 -- Dynamic Server Mobile IT
ID: 1 -- NodeOPCUA Server
ID: 2 -- UaNETServer
Please configure your Server which you want to connect
The following input box is to search address space. Default "0-85"
Please type your value that you want to change
The format is going to be ---- value: newValue
Sample format : { “value “ : “2.3333“}
| Node ID (Address Space) | Name | Type | Relationship |
|---|---|---|---|
| {{ opcuanode['name'] }} | {{ opcuanode['Type'] }} | {{ opcuanode['relationship'] }} | |
| No data! |
| Value | Status | {{valuesOfNode}} | {{statusOfNode}} |
|---|


The panel is a container for grouping and displaying information. It can be collapsed to save space on the screen.
Use the panel if:
- You need to group or display information.
- You want to give users the option of hiding this information.
- You want to show additional information on demand (for example, a panel could show optional input fields for an advanced search).
Do not use the panel if:
- You are designing an object page. Never use panels in the object page content area.


I studied Computer Science and Business Admin at Fort Lewis College (2005 - 2010). After schooling I went to work as a Database Admin/Developer and eventually a Software Engineer. I have enjoyed working in all levels of the engineering stack and hope to continue to learn new aspects of the business of software development.
Crafting, making, hacking, tinkering. Whatever you call it, I like it. It is fun to come up with creative projects to build and utilize in every day life. I like to understand how things work.
Durango, Colorado is an amazing place to live. The nearby mountains offer many options for outdoor sports throughout the year. I enjoy skiing at Purgatory Resort, mountain biking, hiking, disc golfing, and paddle boarding the Animas River or Lake Nighthorse.
Studying Computer Science and Business Administration
Web Durango - Building custome websites
School District 9R - Servicing computers for several schools in the district along with general IT Support on all technology
Mercury Payment Systems - Working with front end software devs to develop customer CRM while maintaining several MSSQL servers
Blinker - Building a responseive web app/mobile app with MEAN Stack and Ruby on Rails
Solar City - Building accounting and billing software with Django
Monetary - Develolping value add solutions for POS Developers
App Omni - Backend and Frontend Engineer building a webapp to configure SaaS security software.
Lattice - Full stack engineer working to build new products with a small focused team.


Porsche Panamera Rendering Previews Subtle Facelift
The revised Panamera looks familiar, but the tweaks are attractive.
by Chris BruceSpy shots reveal that a refreshed Porsche Panamera is coming, and now the artists at Kolesa in Russia have renderings imagining what the updated four-door might look like. This creation looks very close to what Porsche is actually working on.
Gallery: Porsche Panamera Refresh Rendering
The refreshed Panamera doesn't wear a major styling overhaul. The designers keep the tweaks to the front and rear, while leaving the rest of the styling alone. In front, Porsche tweaks the lower fascia and revises the turn signals. While Kolesa's rendering connects the lamps at the edges, the spy shots suggest the two sections would be separate.
Gallery: Porsche Panamera facelift new spy photos
At the back, the revisions are even smaller. Tweaked taillights are the most noticeable alteration. In addition, there are tiny changes to the bumper, too.
More Panamera Spy Shots:
While the styling isn't much different, there are rumors about a new range-topping model joining the lineup. A small team is working on it under the codename Lion. The scant info suggests that the output could grow to as high as 820 horsepower (611 kilowatts). Although, other reports put the power at a more modest 750 hp (559 kW).
In addition to the extra power, the Lion is reportedly 550 pounds (250 kilograms) lighter due to a stripped interior and less sound deadening. It would ride on sticky Michelin performance tires for sharper handling.
A debut date for the refreshed Panamera is still a mystery. However, it's a safe bet to expect to see the four-door in showrooms in 2020. Expect Porsche to follow the usual strategy of unveiling a few variants at a time, and the Lion would probably be the last of them. An updated Sport Turismo with similar tweaks is on the way, too.
Source: Kolesa


Been making good progress on this building energy modeling idea, both on developing a simpler interface to replace the SAP model I blogged about before and on the idea of integrating actual measured data from realtime temperature and power monitoring.
This screenshot shows modeled internal temperature (black line) overlayed on 4x low power temperature node feeds that show the temperature distribution in the lab. The modeled internal temperature is calculated from the actual outdoor temperature, the actual power feed data (2.2kW heater) and estimated properties for heat capacity of the walls, air+surfaces and heat loss through walls, windows and infiltration.
The code so far is up on github here: https://github.com/emoncms/openbem, the openbem interface is not editable yet, everything is hard coded in javascript, its not actually editable in the browser yet. Feed id's are also hardcoded for the simulation page.
The model type is a 2 stage resistor-capacitor model, using the resistor-capacitor analogy for thermal modelling is a standard approach used in many thermal models, there's an interesting page on it here: http://lpsa.swarthmore.edu/Systems/Thermal/SysThermalModel.html
The lab is quite a simple test case, its a single room, quite small with a small electric heater for heating, its also an overcast day today so solar gain contribution is small. How this will carry over to more complex situations, other seasons, and all the other potential variables is of course an open question, No doubt it will take a lot more work to make it a useful tool but I think its a promising start.
If it can be made to work for different buildings, heating systems etc this could have some interesting application in intelligent heating control as well as building performance characterisation, exciting!
Its interesting the difference of adding the 2nd stage to the resistor capacitor model, Il write-up on that next.
Re: OpenBEM Buiding temperature modelling
Improved the simulation code to allow for a 3 stage RC model and in-browser constant editing.
This is how the resistor-capacitor analogy of the model looks like:
Heat input via the heater acts like a current source into the circuit, the external temperature acts as a constant voltage.
Another screenshot of it in action with the constants table below:
One interesting outcome of this is that its appears that the temperature decay curves cant be described by a single exponential decay curve and are instead a superposition of exponential decay curves with different decay rates.
The code for the module is all up on github here: http://github.com/emoncms/openbem
The simulation script is this one:
https://github.com/emoncms/openbem/blob/master/graph.php
Re: OpenBEM Buiding temperature modelling
For an idea of what kind of building the above data is from here's a pic (the pic is taken with a wide angle lens to take it all in, it doesnt actually curve like that). The floor area is 21m2, walls are 600mm thick stone with plaster on hard, 100mm insulation in roof, roof lights, solid floor.
Re: OpenBEM Buiding temperature modelling
Great work guys, it has been really interesting reading your notes and following progress. Thanks for all the modelling! ^_^


Hi, I'm ****
I'm a Student Programmer.
I made this website for all the lazy kids in software apps that need a better grade. so go below to check out sum stuff
View some of my projects below...
Key typer hack
A hack to get a good grade for all the lazy people in software apps
Go!
hehe might fix up the website later


@(gist: gitbucket.gist.model.Gist, content: String, commentId: Int)(implicit context: gitbucket.core.controller.Context) @gitbucket.gist.html.commentpreview( gist = gist, content = content, style = "height: 100px; max-height: 150px;", elastic = true, uid = commentId )


GatorLinks
All of your links in one place
E-Learning
Courses
UF ACM
DRC
EMAIL
D!BS/Study Room
Gator ACE
The Independent Florida Alligator
ONE.UF
U MATTER
UF Student InfoSec Team
RecSports


Since our Extract was published from Mr. Stephens' 'Incidents of Travel,'
&c., we have found another important fact relating to the truth of the Book of
Mormon. Central America, or Guatimala, is situated north of the
Isthmus of Darien and once embraced several hundred miles of territory from
north to south.-The city of Zarahemla, burnt at the crucifixion of the Savior,
and rebuilt afterwards, stood upon this land as will be seen from the
following words in the book of Alma:-"..." [See Book of Mormon
3d edition, page 280-81.] It is certainly a good thing for the excellency and
veracity, of the divine authenticity of the Book of Mormon, that the ruins of
Zarahemla have been found where the Nephites left them: and that a large stone
with engravings upon it as Mosiah said; and a "..." as Mr. Stephens has published, is also
among the left remembrances of the, (to him,) lost and unknown. We are not
going to declare positively that the ruins of Quirigua are those of Zarahemla,
but when the land and the stones, and the books tell the story so plain, we
are of opinion, that it would require more proof than the Jews could bring to
prove the disciples stole the body of Jesus from the tomb, to prove that the
ruins of the city in question, are not one of those referred to in the Book of
Mormon. It may seem hard for unbelievers in the mighty works of God, to give
credit to such a miraculous preservation of the remains, ruins, records and
reminiscences of a branch of the house of Israel: but the elements are
eternal, and intelligence is eternal, and God is eternal, so that the very
hairs of our heads are all numbered. It may be said of man he was and is, and
is not; and of his works the same, but the Lord was and is, and is to come and
his works never end; and he will bring every thing into judgment whether it be
good, or whether it be evil; yea, every secret thing, and they shall be
revealed upon the house tops. It will not be a bad plan to compare Mr.
Stephens' ruined cities with those in the Book of Mormon: light cleaves to
light, and facts are supported by facts. The truth injures no one, and so we
make another EXTRACT From Stephens' "..."
"..."


Search
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Ireland's fastest-selling debut albums of the decade between 2010-2019
The ten acts who scored big sales right out of the gate with their first studio albums.
by Jack WhiteStart as you mean to go on, right? We’re revealing the acts that lived up to that motto best and scored the fastest-selling debut albums of the decade on the Official Irish Albums Chart.
You don’t get a second chance to make a first impression, and this lot came charging out of the blocks to claim one of the ten biggest opening sales weeks for a debut studio album since 2010. Most recently, Dermot Kennedy joined the club.
Calculating the physical sales, digital downloads and streaming-equivalent units, here’s who claimed the most-popular debut albums since 2010.
Mary Byrne
It was 2010 and The X Factor's popularity was at its all-time high, with record numbers tuning in. There were two Irish representatives in that year's series - One Direction's Niall Horan and the lovable Mary Byrne. Affectionately dubbed "Tesco Mary", the last of the 'Overs' category standing in the competition left the supermarket behind after finishing in fifth and signed a record deal with Sony.
In March 2011, Mary's debut album Mine & Yours topped the Official Irish Albums Chart, ending the nine-week run at Number 1 for Adele's 21. 10,600 copies were sold in its first week, making Mine & Yours Ireland's fastest-selling debut album of the decade.
Jedward
More X Factor favourites, Jedward take the honours of Ireland's fastest-selling debut album of the decade by a group. Their 2010 introductory release Planet Jedward sold 9,300 CDs and downloads in its first week and featured the Number 1 single Under Pressure (Ice Ice Baby), which topped the charts for an impressive four weeks over three separate occasions.
One Direction
One Direction's debut Up All Night is a chart quirk in that it is one of the decade's fastest-selling debuts, but didn't top the chart in its first week. Released during the busy final quarter of the year in November 2011, the album started out at Number 3 behind Westlife's Greatest Hits and Rihanna's Talk That Talk and generated 7,700 sales. Up All Night eventually reached Number 1 the following June.
Hozier
The fastest-selling male debut of the decade belongs to Hozier. 7,300 of you picked up Hozier's debut album on release to take it to Number 1 in September 2014. The self-titled album featured Take Me To Church which despite peaking at Number 2, was the best-selling song by an Irish act in 2014 and 2015.
Dermot Kennedy
2019 was a strong year for debut albums, Dermot Kennedy being the best example. The Dubliner's Without Fear outsold the rest of the Top 10 combined, shifting an impressive 7,000 units in its first seven days on sale. Dermot's first week sales were more than fellow 2019 Number 1s from Irish stars Picture This and Hozier put together.
Lewis Capaldi
Lewis Capaldi claimed the decade's fastest-selling debut LP from an international soloist in 2019, scoring a first week total of 6,400 chart sales. The Scotsman's inaugural collection had a bigger opening week than albums from pop heavyweights like Ariana Grande and P!nk.
Lana Del Rey
Lana's major label debut and first album under the name Lana Del Rey, Born To Die is considered her debut studio album, and it ranks high on Ireland's fastest-selling Top 10 of the decade. 6,100 copies were sold in its first week, keeping albums from the legendary Leonard Cohen and Ireland-raised Maverick Sabre from the top spot.
5 Seconds of Summer
She Looks So Perfect was the name of 5SOS' breakthrough single, and their entrance onto the Official Irish Albums Chart was pretty much perfect too. 5,900 Irish fans snapped up the album in its first seven days on sale in July 2014.
Bruno Mars
Featuring two Number 1 singles Just The Way You Are and Grenade plus a further duo of Top 5 hits The Lazy Song and Marry You, Bruno Mars' debut album Doo-Wops & Hooligans was a huge success, with 5,400 of you taking it home on release in January 2011.
Picture This
After their debut EP reached Number 1 on the Official Irish Albums Chart, Picture This knew there was a serious appetite for a full-length album. Their debut self-titled EP went straight in at the top on release in August 2017 with first-week sales of 5,200 and was the second-biggest album of the year behind Ed Sheeran's ÷.
Ireland's fastest-selling debut albums of the decade (2010-2019)
| POS | TITLE | ARTIST | YEAR |
| 1 | MINE & YOURS | MARY BYRNE | 2011 |
| 2 | PLANET JEDWARD | JEDWARD | 2010 |
| 3 | UP ALL NIGHT | ONE DIRECTION | 2011 |
| 4 | HOZIER | HOZIER | 2014 |
| 5 | WITHOUT FEAR | DERMOT KENNEDY | 2019 |
| 6 | DIVINELY UNINSPIRED TO A HELLISH EXTENT | LEWIS CAPALDI | 2019 |
| 7 | BORN TO DIE | LANA DEL REY | 2012 |
| 8 | 5 SECONDS OF SUMMER | 5 SECONDS OF SUMMER | 2014 |
| 9 | DOO-WOPS & HOOLIGANS | BRUNO MARS | 2011 |
| 10 | PICTURE THIS | PICTURE THIS | 2017 |
©2019 IRMA/Official Charts Company. All rights reserved.
© IRMA


Tommy's Pizza For You!
Pick-Up or Delivery?
Pick-Up
Delivery
Name:
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Pie Size:
Small (2-4 people)
Medium (3-5 people)
Large (6-8 people)
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A responsive contact us page design.
Address
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Let's Talk
0787878787
General Support
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1) giving proper data as `options` (should work)
2) giving not object as `options` (should not work)
3) giving `variables` as null (should draw plot for all variables)
4) giving `variables` as not array (should not work)
5) giving `variables` as empty array (should not work)
6) giving `variables` with variable not from dataset (should not work)
7) giving `color` as not a color name (should not work)
8) giving `show_profiles` as null (should work, and plot them)
9) giving `aggregate_profiles` inproper value (should not work)


--- layout: base title: Electrum ABC ---
This wallet software is forked from Electron Cash, with modifications to facilitate use on the eCash network.
Upon first use, the software will automatically copy existing Electron Cash wallet files into a new folder specific to Electrum ABC. This allows users to maintain separate wallet histories for either network going forward, and run Electron Cash and Electrum ABC simultaneously to ease coin splitting.
NOTE: The coins in the wallet will not split automatically. To ensure that transactions are not replayed between Bitcoin Cash and eCash networks, please refer to one of the coin splitting guides linked at bitcoinabc.org/bcha and make sure your pre-fork coins are safely split prior to transacting on either network.


Plunker is a game created Solely (art, code, ideas, etc) by August Yadon at his company Auggo Doggo Games. The game is made for the Vive and is a virtual reality title. It is targetted to go on the Steam market in January. It's very hard to make and test anything without having a few blind spots. Having other people test helps by revealing game-breaking movements or actions that have not been tried during development. It's also an invaluable way to get data about parts of the game that may be out of pace, or otherwise not as obvious as previously thought. All feedback is helpful and welcome. If we do get enough testers to accomplish our goals, then we may take a rain check on your testing slot and ask if you can come back for a test in the future.
Here's a brief informal introduction to Plunker: You wander around some very goofy, stressful, funny VR spaces trying to find things and play minigames to accomplish your objectives. It's VR so it feels very immersive which has an impact on how funny, stressful, shocking everything feels. You shouldn't know exactly where to go, that's sort of the point, it's a funny game where you wander around small spaces and poke stuff. In January it will be on sale via Steam for somewhere between $10 and $30.


Dev
Service
Version
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{{service.serviceVersion}}
UAT
Service
Instance 1 Version
Instance 2 Version
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Prod Green
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Instance 2 Version
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Prod Blue
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Ratings:
Data Size (Individual researchers)
- Less than tens of Gigabytes of data
- Tens of Gigabytes of data up to Terabytes of data
- Terabytes of data or more
Data Size (Platforms)
- Less than hundreds of Gigabytes of data
- Hundreds of Gigabytes of data up to Terabytes of data
- Tens of Terabytes of data
Data Security
- Public data
- Private data that can be stored on the network (password protected).
- Physically separate computers from the network.
Data Management
- No consistency in data filenames and/or metadata.
- Some consistency in data filenames and/or metadata, or a place to search through all the metadata.
- Consistent metadata with the ability to search quickly and easily.
Data Retention
- No need or want to retain data.
- Need or want to store data to the minimum legal time.
- Need or want to store data forever.
Data Presentation Publicly
- No need or want to present data at a high level to the public
- Some need or want to present data at a reasonable level to the public
- Critical need or want to present data at a high level to the public
Data Preprocessed
- Data is worked on from mainly raw files.
- Data has been merged/preprocessed in a simple, easy to understand way.
- Data has been merged/preprocessed in a complex way/pipeline.
Awareness of Central Options
- No awareness of University Central storage/compute/analysis options.
- Some awareness of University Central storage/compute/analysis options.
- High awareness of University Central storage/compute/analysis options.
Complexity of Analysis and Tools
- No complexity in Analysis/Tools eg. descriptive statistics, bar plots
- Some complexity in Analysis/Tools, eg. Correlation, nVivo
- High complexity in Analysis/Tools, eg. Bayesian,R, MATLAB
HPC/GPU usage
- No need for HPC/GPU usage.
- Some need for HPC/GPU usage, but not critical.
- Critical need for HPC/GPU usage.
Training
- No training provided for use of instruments or analysis.
- Some training provided for use of instruments or analysis.
- Critical that training is provided for use of instruments or analysis.


{% extends "layout.html" %} {% block page_title %} GOV.UK prototype kit {% endblock %} {% block content %} ALPHA Sign out Romero UKPRN: 12345678 Funding statements New 16 to 19 funding statement Files to download New business case template Upload files to ESFA View files you've uploaded {% endblock %}
ALPHA
UKPRN: 12345678


SYSTANE LUBRICANT - polyethylene glycol 400 and propylene glycol solution/ drops
Alcon Laboratories, Inc.
Disclaimer: Most OTC drugs are not reviewed and approved by FDA, however they may be marketed if they comply with applicable regulations and policies. FDA has not evaluated whether this product complies.
OTC - ACTIVE INGREDIENT SECTION
Polyethylene Glycol 400 0.4%
Propylene Glycol 0.3%
OTC - PURPOSE SECTION
Lubricant
INDICATIONS & USAGE SECTION
- For the temporary relief of burning and irritation due to dryness of the eye.
WARNINGS SECTION
For external use only.
OTC - DO NOT USE SECTION
- if this product changes color or becomes cloudy
- if you are sensitive to any ingredient in this product
OTC - WHEN USING SECTION
- do not touch tip of container to any surface to avoid contamination
- replace cap after each use
OTC - STOP USE SECTION
Stop use and ask a doctor if
- you feel eye pain
- changes in vision occur
- redness or irritation of the eye(s) gets worse, persists or lasts more than 72 hours
OTC - KEEP OUT OF REACH OF CHILDREN SECTION
If swallowed, get medical help or contact a Poison Control Center right away.
DOSAGE & ADMINISTRATION SECTION
- Instill 1 or 2 drops in the affected eye(s) as needed.
OTHER SAFETY INFORMATION
- Store at room temperature.
INACTIVE INGREDIENT SECTION
Boric acid, calcium chloride, hydroxypropyl guar, magnesium chloride, polyquaternium-1 as a preservative, potassium chloride, purified water, sodium chloride, zinc chloride. May contain hydrochloric acid and/or sodium hydroxide to adjust pH.
OTC - QUESTIONS SECTION
In the U.S. call 1-800-757-9195
www.systane.com
<EMAIL_ADDRESS>PRINCIPAL DISPLAY PANEL
#1 Doctor Recommended Brand1
SYSTANE®
LUBRICANT EYE DROPS
LONG LASTING
SOOTHING COMFORT DRY EYE THERAPY
Alcon®
STERILE
15 mL (½ FL OZ)
Alcon Laboratories, Inc.


Morphling
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1 vs 1
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UNClient
public class UNClient
The UNClient is the point of access to every Unsplash request.
-
Returns a shared singleton object.
Declaration
Swift
public static let shared = UNClient()
-
Boolean value indicating whether the credentials have been set.
Declaration
Swift
public var hasCredentials : Bool
-
Sets the credentials for the Unsplash client. This function should only be called once.
Declaration
Swift
public func setAppID(_ appID: String, secret: String)
Parameters
appID
The application ID Unsplash provided you with.
secret
The secret Unsplash provided you with.
-
Get a single page from the list of all photos.
Declaration
Swift
public func listPhotos(page: Int, photosPerPage: Int = 10, sortingBy sort: UNSort, completion: @escaping UNPhotoListClosure)
Parameters
page
Page number to retrieve.
photosPerPage
Number of items per page.
sort
How to sort the photos.
completion
The completion handler that will be called with the results (Executed on the main thread).
-
Get a single page of photo results for a query.
Declaration
Swift
public func searchPhotos(query: String, page: Int, photosPerPage: Int, collections: [UNCollection]? = nil, orientation: UNPhotoOrientation? = nil, completion: @escaping UNPhotoSearchClosure)
Parameters
query
Search terms.
page
Page number to retrieve.
photosPerPage
Number of items per page.
collections
Collection ID(‘s) to narrow search.
orientation
Filter search results by photo orientation.
completion
The completion handler that will be called with the results (Executed on the main thread).
-
Get a single page of collections results for a query.
Declaration
Swift
public func searchCollections(query: String, page: Int, collectionsPerPage: Int, completion: @escaping UNCollectionSearchClosure)
Parameters
query
Search terms.
page
Page number to retrieve.
collectionsPerPage
Number of items per page.
completion
The completion handler that will be called with the results (Executed on the main thread).
-
Get a single page of users results for a query.
Declaration
Swift
public func searchUsers(query: String, page: Int, usersPerPage: Int, completion: @escaping UNUserSearchClosure)
Parameters
query
Search terms.
page
Page number to retrieve.
usersPerPage
Number of items per page.
completion
The completion handler that will be called with the results (Executed on the main thread).
-
Fetches the image corresponding to the photo on the specified size.
Declaration
Swift
public func fetchImage(from photo: UNPhoto, inSize size: UNPhotoImageSize, completion: @escaping UNImageFetchClosure)
Parameters
photo
The photo to download the image from.
size
One of the available sizes for the image to be downloaded.
completion
The completion closure to handle the result. It will be called on the main thread.
-
Fetches the image corresponding to the photo on the specified size.
Declaration
Swift
public func fetchDataImage(from photo: UNPhoto, inSize size: UNPhotoImageSize, completion: @escaping UNFetchDataImageClosure)
Parameters
photo
The photo to download the image from.
size
One of the available sizes for the image to be downloaded.
completion
The completion closure to handle the result. The image will be passed as a Data. It will be called on the main thread.
-
The image will be fetched and passed back to the specified requester. This function is exclusive since the requester will only have one active request at a time. Any new request by the same object will cancel the previous one. This is useful for table views or collection views where the cell may be reuse for another photo before the previous requested image is dowloaded.
Declaration
Swift
public func fetchDataImageExclusively(from photo: UNPhoto, inSize size: UNPhotoImageSize, for requester: UNImageRequester)
Parameters
photo
The photo that corresponds to the desired image.
size
The size of the image to be downloaded.
requester
The object that is interested in the image and the one who will be called back.


|
TensorRT
<IP_ADDRESS>
|
#include <NvInferRuntime.h>
Public Member Functions | |
| IPluginV2DynamicExt * | clone () const _TENSORRT_OVERRIDE=0 |
| Clone the plugin object. This copies over internal plugin parameters as well and returns a new plugin object with these parameters. If the source plugin is pre-configured with configurePlugin(), the returned object should also be pre-configured. The returned object should allow attachToContext() with a new execution context. Cloned plugin objects can share the same per-engine immutable resource (e.g. weights) with the source object (e.g. via ref-counting) to avoid duplication. | |
| virtual DimsExprs | getOutputDimensions (int outputIndex, const DimsExprs *inputs, int nbInputs, IExprBuilder &exprBuilder)=0 |
| Get expressions for computing dimensions of an output tensor from dimensions of the input tensors. More... | |
| virtual bool | supportsFormatCombination (int pos, const PluginTensorDesc *inOut, int nbInputs, int nbOutputs)=0 |
| Return true if plugin supports the format and datatype for the input/output indexed by pos. More... | |
| virtual void | configurePlugin (const DynamicPluginTensorDesc *in, int nbInputs, const DynamicPluginTensorDesc *out, int nbOutputs)=0 |
| Configure the layer. More... | |
| virtual size_t | getWorkspaceSize (const PluginTensorDesc *inputs, int nbInputs, const PluginTensorDesc *outputs, int nbOutputs) const =0 |
| Find the workspace size required by the layer. More... | |
| virtual int | enqueue (const PluginTensorDesc *inputDesc, const PluginTensorDesc *outputDesc, const void *const *inputs, void *const *outputs, void *workspace, cudaStream_t stream)=0 |
| Execute the layer. More... | |
| Public Member Functions inherited from nvinfer1::IPluginV2Ext | |
| virtual nvinfer1::DataType | getOutputDataType (int index, const nvinfer1::DataType *inputTypes, int nbInputs) const =0 |
| Return the DataType of the plugin output at the requested index. The default behavior should be to return the type of the first input, or DataType::kFLOAT if the layer has no inputs. The returned data type must have a format that is supported by the plugin. More... | |
| virtual void | attachToContext (cudnnContext *, cublasContext *, IGpuAllocator *) |
| Attach the plugin object to an execution context and grant the plugin the access to some context resource. More... | |
| virtual void | detachFromContext () |
| Detach the plugin object from its execution context. More... | |
| Public Member Functions inherited from nvinfer1::IPluginV2 | |
| virtual const char * | getPluginType () const =0 |
| Return the plugin type. Should match the plugin name returned by the corresponding plugin creator. | |
| virtual const char * | getPluginVersion () const =0 |
| Return the plugin version. Should match the plugin version returned by the corresponding plugin creator. | |
| virtual int | getNbOutputs () const =0 |
| Get the number of outputs from the layer. More... | |
| virtual int | initialize ()=0 |
| Initialize the layer for execution. This is called when the engine is created. More... | |
| virtual void | terminate ()=0 |
| Release resources acquired during plugin layer initialization. This is called when the engine is destroyed. More... | |
| virtual size_t | getSerializationSize () const =0 |
| Find the size of the serialization buffer required. More... | |
| virtual void | serialize (void *buffer) const =0 |
| Serialize the layer. More... | |
| virtual void | destroy ()=0 |
| Destroy the plugin object. This will be called when the network, builder or engine is destroyed. | |
| virtual void | setPluginNamespace (const char *pluginNamespace)=0 |
| Set the namespace that this plugin object belongs to. Ideally, all plugin objects from the same plugin library should have the same namespace. | |
| virtual const char * | getPluginNamespace () const =0 |
| Return the namespace of the plugin object. | |
Static Public Attributes | |
| static constexpr int | kFORMAT_COMBINATION_LIMIT = 100 |
Protected Member Functions | |
| int | getTensorRTVersion () const _TENSORRT_OVERRIDE |
| Return the API version with which this plugin was built. More... | |
| TRT_DEPRECATED Dims | getOutputDimensions (int, const Dims *, int) _TENSORRT_FINAL |
| Derived classes should not implement this. In a C++11 API it would be override final. More... | |
| TRT_DEPRECATED bool | isOutputBroadcastAcrossBatch (int, const bool *, int) const _TENSORRT_FINAL |
| Derived classes should not implement this. In a C++11 API it would be override final. More... | |
| TRT_DEPRECATED bool | canBroadcastInputAcrossBatch (int) const _TENSORRT_FINAL |
| Derived classes should not implement this. In a C++11 API it would be override final. More... | |
| TRT_DEPRECATED bool | supportsFormat (DataType, PluginFormat) const _TENSORRT_FINAL |
| Derived classes should not implement this. In a C++11 API it would be override final. More... | |
| TRT_DEPRECATED void | configurePlugin (const Dims *, int, const Dims *, int, const DataType *, const DataType *, const bool *, const bool *, PluginFormat, int) _TENSORRT_FINAL |
| Derived classes should not implement this. In a C++11 API it would be override final. More... | |
| TRT_DEPRECATED size_t | getWorkspaceSize (int) const _TENSORRT_FINAL |
| Derived classes should not implement this. In a C++11 API it would be override final. More... | |
| TRT_DEPRECATED int | enqueue (int, const void *const *, void **, void *, cudaStream_t) _TENSORRT_FINAL |
| Derived classes should not implement this. In a C++11 API it would be override final. More... | |
| Protected Member Functions inherited from nvinfer1::IPluginV2Ext | |
| int | getTensorRTVersion () const _TENSORRT_OVERRIDE |
| Return the API version with which this plugin was built. The upper byte reserved by TensorRT and is used to differentiate this from IPlguinV2. More... | |
| void | configureWithFormat (const Dims *, int, const Dims *, int, DataType, PluginFormat, int) _TENSORRT_OVERRIDE |
| Derived classes should not implement this. In a C++11 API it would be override final. | |
Similar to IPluginV2Ext, but with support for dynamic shapes.
Clients should override the public methods, including the following inherited methods:
virtual int getNbOutputs() const TRTNOEXCEPT = 0; virtual nvinfer1::DataType getOutputDataType(int index, const nvinfer1::DataType* inputTypes, int nbInputs) const TRTNOEXCEPT = 0; virtual size_t getSerializationSize() const TRTNOEXCEPT = 0; virtual void serialize(void* buffer) const TRTNOEXCEPT = 0; virtual void destroy() TRTNOEXCEPT = 0; virtual void setPluginNamespace(const char* pluginNamespace) TRTNOEXCEPT = 0; virtual const char* getPluginNamespace() const TRTNOEXCEPT = 0;
For getOutputDataType, the inputTypes will always be DataType::kFLOAT or DataType::kINT32, and the returned type is canonicalized to DataType::kFLOAT if it is DataType::kHALF or DataType:kINT8. Details about the floating-point precision are elicited later by method supportsFormatCombination.
|
inlineprotectedvirtual |
Derived classes should not implement this. In a C++11 API it would be override final.
With dynamic shapes, there is no implicit batch dimension to broadcast across.
Implements nvinfer1::IPluginV2Ext.
|
pure virtual |
Configure the layer.
This function is called by the builder prior to initialize(). It provides an opportunity for the layer to make algorithm choices on the basis of bounds on the input and output tensors, and the target value.
| in | The input tensors attributes that are used for configuration. |
| nbInputs | Number of input tensors. |
| out | The output tensors attributes that are used for configuration. |
| nbOutputs | Number of output tensors. |
|
inlineprotectedvirtual |
Derived classes should not implement this. In a C++11 API it would be override final.
This method is not used because tensors with dynamic shapes do not have an implicit batch dimension, input dimensions might be variable, and outputs might have different floating-point formats..
Instead, derived classes should override the overload of configurePlugin that takes poiners to DynamicPluginTensorDesc.
Implements nvinfer1::IPluginV2Ext.
|
pure virtual |
Execute the layer.
| inputDesc | how to interpret the memory for the input tensors. |
| outputDesc | how to interpret the memory for the output tensors. |
| inputs | The memory for the input tensors. |
| outputs | The memory for the output tensors. |
| workspace | Workspace for execution. |
| stream | The stream in which to execute the kernels. |
|
inlineprotectedvirtual |
Derived classes should not implement this. In a C++11 API it would be override final.
This method is not used because tensors with dynamic shapes can have different sizes in different execution contexts.
Instead, derived classes should override the overload of enqueue that takes pointers to PluginTensorDesc.
Implements nvinfer1::IPluginV2.
|
pure virtual |
Get expressions for computing dimensions of an output tensor from dimensions of the input tensors.
| outputIndex | The index of the output tensor |
| inputs | Expressions for dimensions of the input tensors |
| nbInputDims | The number of input tensors |
| exprBuilder | Object for generating new expressions |
This function is called by the implementations of IBuilder during analysis of the network.
Example #1: A plugin has a single output that transposes the last two dimensions of the plugin's single input. The body of the override of getOutputDimensions can be:
DimsExprs output(inputs[0]); std::swap(output.d[output.nbDims-1], output.d[output.nbDims-2]); return output;
Example #2: A plugin concatenates its two inputs along the first dimension. The body of the override of getOutputDimensions can be:
DimsExprs output(inputs[0]); output.d[0] = exprBuilder.operation(DimensionOperation::kSUM, inputs[0].d[0], inputs[1].d[0]); return output;
|
inlineprotectedvirtual |
Derived classes should not implement this. In a C++11 API it would be override final.
Instead, derived classes should override the overload of getOutputDimensions that returns DimsExprs.
Implements nvinfer1::IPluginV2.
|
inlineprotectedvirtual |
Return the API version with which this plugin was built.
Do not override this method as it is used by the TensorRT library to maintain backwards-compatibility with plugins.
Reimplemented from nvinfer1::IPluginV2.
|
pure virtual |
Find the workspace size required by the layer.
This function is called after the plugin is configured, and possibly during execution. The result should be a sufficient workspace size to deal with inputs and outputs of the given size or any smaller problem.
|
inlineprotectedvirtual |
Derived classes should not implement this. In a C++11 API it would be override final.
This method is not used because tensors with dynamic shapes do not have an implicit batch dimension, and the other dimensions might not be build-time constants.
Instead, derived classes should override the overload of getWorkspaceSize that takes pointers to PluginTensorDesc. The arguments to that overload provide maximum bounds on all dimensions.
Implements nvinfer1::IPluginV2.
|
inlineprotectedvirtual |
Derived classes should not implement this. In a C++11 API it would be override final.
With dynamic shapes, there is no implicit batch dimension to broadcast across.
Implements nvinfer1::IPluginV2Ext.
|
inlineprotectedvirtual |
Derived classes should not implement this. In a C++11 API it would be override final.
This method is not used because it does not allow a plugin to specify mixed formats.
Instead, derived classes should override supportsFormatCombination, which allows plugins to express mixed formats.
Implements nvinfer1::IPluginV2.
|
pure virtual |
Return true if plugin supports the format and datatype for the input/output indexed by pos.
For this method inputs are numbered 0..(nbInputs-1) and outputs are numbered nbInputs..(nbInputs+nbOutputs-1). Using this numbering, pos is an index into InOut, where 0 <= pos < nbInputs+nbOutputs-1.
TensorRT invokes this method to ask if the input/output indexed by pos supports the format/datatype specified by inOut[pos].format and inOut[pos].type. The override should return true if that format/datatype at inOut[pos] are supported by the plugin. If support is conditional on other input/output formats/datatypes, the plugin can make its result conditional on the formats/datatypes in inOut[0..pos-1], which will be set to values that the plugin supports. The override should not inspect inOut[pos+1..nbInputs+nbOutputs-1], which will have invalid values. In other words, the decision for pos must be based on inOut[0..pos] only.
Some examples:
return inOut.format[pos] == TensorFormat::kLINEAR && inOut.type[pos] == DataType::kHALF;
return inOut.format[pos] == TensorFormat::kLINEAR && (inOut.type[pos] == pos < 2 ? DataType::kHALF : DataType::kFLOAT);
return pos == 0 || (inOut.format[pos] == inOut.format[0] && inOut.type[pos] == inOut.type[0]);
Warning: TensorRT will stop asking for formats once it finds kFORMAT_COMBINATION_LIMIT on combinations.
|
static |
Limit on number of format combinations accepted.


Hal is the deployment system we use to deploy many of our client-facing websites, including MyQL, Rocket Mortgage, QLMS, ORMS, Agent Insight, QuickenLoans.com and more!
Previously, only administrators could do this.
The rollback page has been changed to a complete deployment history and lists all previous pushes for a deployment. It is available to all users by clicking the rollback icon on the titlebar of a push status box.
Available through the administration dashboard, administrators can view all pushes or builds that occured on a particular date.
Relative times will be updated on-the-fly, so times displayed in the UI will be more accurate. This is will also result in correct times for users not in EST.
Previously, Hal was limited to what it could download into memory before writing to disk.
The following components MUST go with this release:
- Hal 2.4.1
- Hal Core 2.6
If you find any bugs or want to request a feature, drop us a line in the hipchat room [Team] Web Core, or send us an email.
JIRA Release page for Hal 2.4.1


Uses of Interface
com.restfb.types.webhook.messaging.InnerMessagingItem
| Package | Description |
|---|---|
| com.restfb.types.webhook.messaging |
-
Uses of InnerMessagingItem in com.restfb.types.webhook.messaging
Classes in com.restfb.types.webhook.messaging that implement InnerMessagingItem Modifier and Type Class Description class
AccountLinkingItem
class
AppRoles
Represents the app roles as used here: App Roles on Facebookclass
CheckoutUpdateItem
Represents the Checkout Update Callbackclass
DeliveryItem
class
MessageItem
Represents the Message Callbackclass
MessageReaction
class
OptinItem
class
PassThreadControlItem
Represents the Pass Thread Control Callbackclass
PaymentItem
Represents the Payment Callbackclass
PolicyEnforcementItem
Represents a receiving postback object as defined here: https://developers.facebook.com/docs/messenger-platform/webhook-reference/policy-enforcementclass
PostbackItem
Represents a receiving postback object as defined here: https://developers.facebook.com/docs/messenger-platform/webhook-reference/postbackclass
QuickReplyItem
class
ReadItem
class
ReferralItem
Represents the referral field from Scenario 2: https://developers.facebook.com/docs/messenger-platform/referral-paramsclass
RequestThreadControlItem
class
TakeThreadControlItem
Represents the Take Thread Control CallbackMethods in com.restfb.types.webhook.messaging that return InnerMessagingItem Modifier and Type Method Description InnerMessagingItem
MessagingItem. getItem()
generic access to the inner item.


An overview of AngularJS-CRUD-PHP, how to download and use or integrate in your web project, basic usage examples and complex combination, and more.
<link rel="stylesheet" type="text/css" href="css/body.css">
<link rel="stylesheet" type="text/css" href="css/chrome.css">
<script type="text/javascript" src="js/common.js"></script>
<script type="text/javascript" src="js/config.js"></script>
<script type="text/javascript" src="js/app.js"></script>
<script type="text/javascript" src="js/directive.js"></script>
<script type="text/javascript" src="js/service.js"></script>
if you want the import/export features
ui framework, the default ui components that i used, you may switch to others
PHPExcel has integrate with dompdf, mpdf, tcpdf, but the excel convert to pdf features has some limitations, I recommended to use OfficeToPdf if your server environment is windows platform
The client config file located at ./js/config.js
to config the website host, data server host, user main page after login, login page location for those pages required user authentication.
var serverHost = "http://<IP_ADDRESS>/Develop";
var webRoot = "http://<IP_ADDRESS>/Develop";
var requireLoginPage = "login.html";
var afterLoginPage = "main-menu.html";
The server config file located at ./model/config.php
to config the database(MySQL/MariaDB) connection information.
/**
* Configuration for: Database Connection
*
* DB_HOST: database host, usually it's "<IP_ADDRESS>" or "localhost", some servers also need port info
* DB_NAME: name of the database. please note: database and database table are not the same thing
* DB_USER: user for your database. the user needs to have rights for SELECT, UPDATE, DELETE and INSERT.
* DB_PASS: the password of the above user
*/
define("_DB_HOST", "<IP_ADDRESS>", true);
define("_DB_NAME", "acgni308_keithbox", true);
define("_DB_USER", "acgni308_kbuser", true);
define("_DB_PASS", "Demo-DB3.2", true);
PHPExcel was integrated with three PDF engines that allowed to config which will be use.
Edit a php file located at ./model/ExcelManager.php
Uncomment to pick a one out of three PDF engines (dompdf 0.6.0+, TCPDF 6.2.0+, mpdf 6.1.0+)
Default using mpdf as pdf enginers.
This setting enable the PHPExcel instance output the file as PDF format, if you want to disable this feature please do not assign pdf engine to PHPExcel and comment all the following lines.
// $rendererName = PHPExcel_Settings::PDF_RENDERER_DOMPDF;
// $rendererLibrary = 'PDF engine/dompdf/dompdf-0.6.2/';
// local the dompdf enginer folder, PHPExcel 1.8.0+ not support dompdf 0.7.0+
// $rendererLibrary = 'PDF engine/dompdf/dompdf-0.7.0/';
// extremely slow performance
// $rendererName = PHPExcel_Settings::PDF_RENDERER_TCPDF;
// $rendererLibrary = 'PDF engine/TCPDF/TCPDF-6.2.13/';
$rendererName = PHPExcel_Settings::PDF_RENDERER_MPDF;
$rendererLibrary = 'PDF engine/MPDF/mpdf-6.1.3/';
$rendererLibraryPath = BASE_3RD . $rendererLibrary;
error about glyphicons-halflings-regular.woff2 not found
This problem happens because IIS does not know about woff and woff2 file mime types.
Solution 1: Add this lines in your web.config project:
Solution 2:


The formula which is taken here to calculate the volume of a torus is the following:
R =
r =
Volume =
Back


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Please enter the email address registered on your account.
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8 Supply, 11 Gas, 12 Rax, 14 Scout
Let's train some workers when we have the minerals for them!
That's the basics you go out, 16 supply, 16 factory, train 2 marines and put them with 1 scv at front on the ramp, 22 cc, 24 supply, 25 tank, 26 ebay.
This tutorial will walk you through StarCraft: Brood War bot development with Python, but first we are going to dive deep into Coroutines!
Real-time strategy (RTS) games are known to be one of the most complex game genres for humans and machines to play. To tackle the task we focus on a message-passing divide-and-conquer approach with ZMQ and multiple languages, splitting the game into separate components and developing separate systems to solve each task.
This trend gives rise to a new problem: how to tie these systems together into a functional StarCraft: Brood War playing bot?
Coroutines
Coroutines are computer-program components that generalize subroutines for non-preemptive multitasking by allowing multiple entry points for suspending and resuming execution at certain locations.
Subroutines are short programs that perform functions of a general nature that can occuir in varios types of computation.
A sequence of program instructions that perform a specific task, packaged as a unit. This unit can then be used in programs wherever that particular task should be performed.
Subprograms may be defined within programs, or separately in libraries that can be used by multiple programs.
In different programming languages, a subroutine may be called a procedure, a function a routine, a method, a subprogram.
Difference with processes
Processes are idependent units of execution, a subroutine lives inside a process.
Cooperative multitasking
Also known as non-preemptive multitasking, is a style of computer multitasking in which the operating system never initiates a context switch from a running process to another process.
Instead, processes voluntary yield control periodically or when idle in order to enable multiple applications to be run concurrently.
Python 3 await
and yield
Python uses a single-threaded event loop to enable concurrent actions. This means that all real-time aplication code should aim to be asynchronous and non-blocking because only one operation can be active at a time.
Asynchronous operations generally return placeholder objects (Futures).
Futures
are usually transformed into their result with the await
and yield
.
Examples
Here is a sample synchronous function:
:::python from tornado.httpclient import HTTPClient def synchronous_fetch(url): http_client = HTTPClient() response = http_client.fetch(url) return response.body
And here the same rewritten asynchronously as a native coroutine:
:::python from tornado.httpclient import AsyncHTTPClient async def asynchronous_fetch(url): http_client = AsyncHTTPClient() response = await http_client.fetch(url) return response.body
Anything you can do with coroutines you can also do by passing callback around, but coroutines
provide an important simplification by letting you organize your code in the same way you would if it
were synchronous, important for error handling since try/expect
work as you would expect.
Why ZeroMQ helps?
ZeroMQ is a community of projects focused on decentralized message passing. They agree on protocols (RFCs) for connecting to each other and exchanging messages. Messages are blobs of useful data of any reasonable size.
You can use this feature to queue, route, and filter messages according to various patterns
.
Multilingual Distributed Messaging thanks to the ZeroMQ Community.
- Carries messages across inproc, IPC, TCP, multicast.
- Smart patterns like pub-sub, push-pull, request-reply.
- Backed by a large and active open-source community.
It's asynchronous I/O model gives you scalable multicore applications, built as asynchronous message-processing subroutines. Read the guide.
Coroutines again
Coroutines are the recommended way to write asynchronous code.
Coroutines use the Python 3 await
or yield
keyword to suspend and resume execution instead of a chain of callbacks, all coroutines use explicit context switches and are called as asynchronous functions.
Coroutines are almost as simple as synchronous code, but without the expense of a thread. They make concurrency easier to reason about by reducing the number of places where a context switch can happen.
How to call a coroutine
Coroutines do not raise exceptions in the normal way: any exception they raise will be trapped in the awaitable object until it is yielded. This means it is important to call coroutines in the right way, or you may have errors that do unnoticed:
:::python async def divide(x, y): return x / y def bad_call() # This should raise ZeroDivisionError, but it won't # because the coroutine is called incorrectly! divide(1, 0)
In nearly all cases, any function that calls a coroutine must be a coroutine itself,
and use the await
or yield
keyword in the call.
:::python async def good_call(): # await will unwrap the object returned by divide() # and raise the expection. await divide(1, 0)
Fire and forget
Sometimes you may want to "fire and forget" a coroutine without waiting for its result. In this case it is recommended to use IOLoop.spawn_callback
, which makes the IOLoop
responsible for the call.
If it fails, the IOLoop
will log a stack trace:
:::python # The IOLoop will catch the expection and print a stack trace # in the logs. Note that this doesn't look like a normal call, # since we pass the function object to be called by the IOLoop. IOLoop.current().spawn_callback(divide, 1, 0)
Coroutine patterns
Calling blocking functions
The simplest way to call a blocking function from a coroutine is to use IOLoop.run_in_executor
, which returns Futures
that are compatible:
:::python async def call_blocking(): await IOLoop.current().run_in_executor(None, blocking_func, args)
Parallelism
The multi
function accepts lists and dicts whose values are Futures
and waits for all of those Futures
in parallel:
:::python from tornado.gen import multi async def parallel_fetch(url1, url2): resp1, resp2 = await multi([http_client.fetch(url1), http_client.fetch(url2)] async def parallel_fetch_many(urls): res = await multi([http_client.fetch(u) for u in urls]) # res is a list of HTTPResponses in the same order async def parallel_fetch_dict(urls): res = await multi({url: http_client.fetch(url) for url in urls}) # res is a dict {url: HTTPResponse}
In decorated coroutines, it is possible to yield
the list or dict directly:
:::python @gen.coroutine def parallel_fetch_decorated(url1, url2): resp1, resp2 = yield [http_client.fetch(url1), http_client.fetch(url2)]
Interleaving
Sometimes it is useful to save a Future
instead of yielding it immediately, so you can start another operation before waiting.
:::python from tornado.gen import convert_yielded async def get(self): # convert_yielded() starts the native coroutine in the background. # This is equivalent to asyncio.ensure_future() (both work) fetch_future = convert_yielded(self.fetch_next_chunk()) while True: chunk = yield fetch_future if chunk is None: break self.write(chunk) fetch_future = convert_yielded(self.fetch_next_chunk()) yield self.flush()
This is a little easier to do with decorated coroutines, because they start immediately when called:
:::python @gen.coroutine def gen(self): fetch_future = self.fetch_next_chunk() while True: chunk = yield fetch_future is chunk is None: break self.write(chunk) fetch_future = self.fetch_next_chunk() yield self.flush()
Looping
In native coroutines, async for
can be used.
Running in the background
PeriodicCallback
is not normally used with coroutines. Instead, a coroutine can contain a while True:
loop and use tornado.gen.sleep
:
:::python async def minute_loop(): while True: await do_something() await gen.sleep(60) # Coroutines that loop forever are generally started with # spawn_callback(). IOLoop.current().spawn_callback(minute_loop)
Sometimes a more complicated loop may be desirable. For example, the previous loop runs every 60+N
seconds,
where N
is the running time of do_something()
. To run exactly every 60 seconds, use the interleaving pattern from above:
:::python async def minute_loop2(): while True: nxt = gen.sleep(60) # Start the clock. await do_something() # Run while the clock is ticking. await nxt # Wait fot he timer to run out.
Further Reading
TBD


ZendQueue\Queue supports all queues implementing the interface Zend\Queue\Adapter\AdapterInterface. The following Message Queue services are supported:
Note
Limitations
Message transaction handling is not supported.
If a default setting is indicated then the parameter is optional. If a default setting is not specified then the parameter is required.
Options listed here are known requirements. Not all messaging servers require username or password.
$options[‘name’] = ‘/temp/queue1’;
This is the name of the queue that you wish to start using. (Required)
$options[‘driverOptions’][‘host’] = ‘host.domain.tld’;
$options[‘driverOptions’][‘host’] = ‘<IP_ADDRESS>’;
You may set host to an IP address or a hostname.
Default setting for host is ‘<IP_ADDRESS>’.
$options[‘driverOptions’][‘port’] = 61613;
Default setting for port is 61613.
$options[‘driverOptions’][‘username’] = ‘username’;
Optional for some messaging servers. Read the manual for your messaging server.
$options[‘driverOptions’][‘password’] = ‘password’;
Optional for some messaging servers. Read the manual for your messaging server.
$options[‘driverOptions’][‘timeout_sec’] = 2;
$options[‘driverOptions’][‘timeout_usec’] = 0;
This is the amount of time that Zend\Queue\Adapter\Activemq will wait for read activity on a socket before returning no messages.
Driver options are checked for a few required options such as type, host, username, password, and dbname. You may pass along additional parameters for Zend\DB\DB::factory() as parameters in $options['driverOptions']. An example of an additional option not listed here, but could be passed would be port.
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 | $options = array(
'driverOptions' => array(
'host' => 'db1.domain.tld',
'username' => 'my_username',
'password' => 'my_password',
'dbname' => 'messaging',
'type' => 'pdo_mysql',
'port' => 3306, // optional parameter.
),
'options' => array(
// use Zend\Db\Select for update, not all databases can support this
// feature.
Zend\Db\Select::FOR_UPDATE => true
)
);
// Create a database queue.
$queue = new Zend\Queue\Queue('Db', $options);
|
$options[‘name’] = ‘queue1’;
This is the name of the queue that you wish to start using. (Required)
$options[‘driverOptions’][‘type’] = ‘Pdo’;
type is the adapter you wish to have Zend\Db\Db::factory() use. This is the first parameter for the Zend\Db\Db::factory() class method call.
$options[‘driverOptions’][‘host’] = ‘host.domain.tld’;
$options[‘driverOptions’][‘host’] = ‘<IP_ADDRESS>’;
You may set host to an IP address or a hostname.
Default setting for host is ‘<IP_ADDRESS>’.
$options[‘driverOptions’][‘username’] = ‘username’;
$options[‘driverOptions’][‘password’] = ‘password’;
$options[‘driverOptions’][‘dbname’] = ‘dbname’;
The database name that you have created the required tables for. See the notes section below.
$options[‘name’] = ‘queue1’;
This is the name of the queue that you wish to start using. (Required)
$options[‘driverOptions’][‘host’] = ‘host.domain.tld’;
$options[‘driverOptions’][‘host’] = ‘<IP_ADDRESS>;’
You may set host to an IP address or a hostname.
Default setting for host is ‘<IP_ADDRESS>’.
$options[‘driverOptions’][‘port’] = 22201;
The default setting for port is 22201.
$options[‘daemonOptions’][‘host’] = ‘<IP_ADDRESS>:10003’;
The hostname and port corresponding to the Zend Platform Job Queue daemon you will use. (Required)
$options[‘daemonOptions’][‘password’] = ‘1234’;
The password required for accessing the Zend Platform Job Queue daemon. (Required)
$options[‘name’] = ‘queue1’;
This is the name of the queue that you wish to start using. (Required)
The following adapters have notes:
Visibility duration for Zend\Queue\Adapter\Activemq is not available.
While Apache’s ActiveMQ will support multiple subscriptions, the ZendQueue\Queue does not. You must create a new ZendQueue\Queue object for each individual subscription.
ActiveMQ queue/topic names must begin with one of:
For example: /queue/testing
The following functions are not supported:
The database CREATE TABLE ( ... ) SQL statement can be found in Zend/Queue/Adapter/Db/mysql.sql.
Memcache can be downloaded from http://www.danga.com/memcached/.
MemcacheQ can be downloaded from http://memcachedb.org/memcacheq/.
Job Queue is a feature of Zend Platform’s Enterprise Solution offering. It is not a traditional message queue, and instead allows you to queue a script to execute, along with the parameters you wish to pass to it. You can find out more about Job Queue on the zend.com website.
The following is a list of methods where this adapter’s behavior diverges from the standard offerings:
create()- Zend Platform does not have the concept of discrete queues; instead, it allows administrators to provide scripts for processing jobs. Since adding new scripts is restricted to the administration interface, this method simply throws an exception indicating the action is forbidden.
isExists()- Just like create(), since Job Queue does not have a notion of named queues, this method throws an exception when invoked.
delete()- similar to create(), deletion of JQ scripts is not possible except via the admin interface; this method raises an exception.
getQueues()- Zend Platform does not allow introspection into the attached job handling scripts via the API. This method throws an exception.
count()- returns the total number of jobs currently active in the Job Queue.
send()- this method is perhaps the one method that diverges most from other adapters. The $message argument may be one of three possible types, and will operate differently based on the value passed:
string- the name of a script registered with Job Queue to invoke. If passed in this way, no arguments are provided to the script.
array- an array of values with which to configure a ZendApi\Job object. These may include the following:
As noted, only the script argument is required; all others are simply available to allow passing more fine-grained detail on how and when to run the job.
ZendApi\Job- finally, you may simply pass a ZendApi\Job instance, and it will be passed along to Platform’s Job Queue.
In all instances, send() returns a Zend\Queue\Message\PlatformJob object, which provides access to the ZendApi\Job object used to communicate with Job Queue.
receive()- retrieves a list of active jobs from Job Queue. Each job in the returned set will be an instance of Zend\Queue\Message\PlatformJob.
deleteMessage()- since this adapter only works with Job Queue, this method expects the provided $message to be a Zend\Queue\Message\PlatformJob instance, and will throw an exception otherwise.
The Array queue is a PHP array() in local memory. The Zend\Queue\Adapter\Array is good for unit testing.
The source code of this file is hosted on GitHub. Everyone can update and fix errors in this document with few clicks - no downloads needed.


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Tokenization
The low-level tokenization of the UD Armenian Treebanks (both Eastern and Western Armenian) generally adopts the Հայերէնի ծառադարան - ArmTDP standard:
- In general, tokens are delimited by whitespace.
- Punctuation (recognized by the corresponding Unicode property) that is conventionally written adjacent to the preceding or following word is separated during tokenization.
Some special cases worth mentioning:
- An abbreviation marked by a period, as in թ. “year”, becomes two tokens, թ and . .
- A compound containing a hyphen becomes three tokens (two words and the hyphen), as in առասպելա-բանաստեղծական “fabulo-poetic”, or five tokens (three words and two hyphens), as in ռուսա-իրանա-սուրիական “Russian-Iranian-Syrian”. In these cases, the first token is a special form of adjective that never occurs independently.
- Compounds without a hyphen are not split, thus պաղեստինեւիսրայէլեան “Israeli-Palestinian” is one token but բիւզանդական-արեւելեան “Byzantine-Eastern” would be three tokens.
- Another common case of splitting-on-hyphen are reduplicative or echo words as in մէկիկ-մէկիկ “one by one”, միս-մինակ “all alone”.
- Inflectional bound morphemes and hypens after phrases or sentences used as names in quotation marks or after abbreviations marked by a period, as in «Ցեղին սիրտը»էն “from ‘The Heart of the Tribe’” or 2020 թ.-ին “in year 2020” are split and are considered as separate tokens: { « , Ցեղին , սիրտը , » , էն } and { 2020 , թ , . , - , ին } . The word before the hypen is the head and the bound morpheme is linked with the deprel
dep
. Tokenizing and segmenting this way seems easier for parsing. - The words that contain “infixed” punctuation (question, exclamation, emphasis and Armenian abbreviation marks), as in ինչպէ՞ս “How?”, are considered multi-word tokens and become two tokens, ինչպէս and ՞ . EXCEPTION is the apostrophe, as in Ժանն տ՚Արք “Joan of Arc” or կ՚ընէ, which is split and belongs to the preceding word, { Ժան , տ՚ , Արք } , { կ՚ , ընէ }.
- Generally, every punctuation character constitutes a token of its own. Thus »,— will become three tokens.
- EXCEPTIONs are conventional multi-character punctuation marks: … , …. , and emojis and smileys: :) , ^_^ , ։Ճ etc. Conventional non-armenian multi-character punctuation marks and terms are tokenized as single tokens: ?! .
- Special symbols before and after numerical expressions, as in $250 , 4,81% , +32°С , are tokenised separately (so, the tokens are { $ , 250 } , { 4,81 , % } , { + , 32 , °С }).
- Email addresses, URLs, and tweet-style names are treated as single tokens<EMAIL_ADDRESS>, https://github.com , @gov_am .
Some special cases worth mentioning:
- Numerical expressions are treated as single words as long as they do not contain spaces or hyphen, for example, 355,089.40 . Decimal numbers (with Armenian decimal comma or English decimal point) are also kept as one token, e.g. 2.1 , 2,1 .
- EXCEPTION: Time expressions and dates like 19:45 or 20.05.2000 , 20/05/2000> are splitted into separate tokens (in this case, three { 19 , : , 45 } and five { 20 , . , 05 , . , 2000 } , { 20 , / , 05 , / , 2000 }).
- Numerical expressions with or without hyphen and Armenian endings as well as adjectives and other non-numerals which contain digits (e.g. 2րդ “2nd” , 44օրեայ “44-day” , 1700ամյա “1700-year-old” , 5նոց “in 5tհs” , ՆԱՏՕ-ական “belonging-to-NATO , ՏՈՒ-154Մ “TU-154M”) are treated as single tokens as long as they do not contain inflectional endings (e.g. 96ի “of 96.Dat” , 1956ին “in 1956.Dat” , 196-ամեակի “196th anniversary.Dat” ) which are splitted into separate tokens (in this case, two or three { 96 , ի } , { 1956 , ին } , { 196 , - , ամեակի }).
Multi-word tokens
See above, the “infixed” punctuation.
Pronouns and adverbs
- Indefinite pronouns and adverbs like ինչ-որ, ինչ-ինչ “something, somewhat”, etc. are splitted as compounds containing a hyphen and become three tokens (two words and the hyphen).
Verb forms, analytical grammatical forms, negation
-
the forms of indicative mood, complex tenses, analytical causative, complex comparatives, etc. are splitted according to the orthographic principle: { կ՚ , ըսուի } “is said”, { պայքարած , են } “have fought”, { պէտք , է , սկսած , ըլլար } “it might have been started”, { շինել , տուեր , էին } “they had smth. built/made”, { աւելի , յաճախ } “more often”.
-
մի՛ and ոչ used as negation markers with verbs, adjectives, adverbs, pronouns and other words are tokenized according to the orthographic rules: { մի , ՛ , ընէք } “don’t do!”, { ոչ , հինցած } “not outdated”, { ոչ , հիմա } “not now” , { ոչ , մէկ , տեղ } “nowhere, (lit.: in no place)”.
Sentence splitting
Each sentence contains only one root. Splitting is usually performed after an end-of-sentence full stop or after a dot, ellipsis or colon when these punctuation marks separate unrelated subparts of a sentence. Items in a list may sometimes be rendered as separate sentences.