WITNESS LIST Appropriations Committee (Subcommittee on Public Safety, Criminal Justice, & Judic) February 10, 1997-8:00A Budget Overview / Criminal Justice For: Osborn, Max (Retired Judge) Reynolds, Herbert (Comm on Judicial Effic) Seerden, Robert (Chief Justice, 13th App) On: Arnot, Bud (Chief Justice) Barajas, Richard (Chief Justice, 8th Appe) Benedict, Jerry (Court Admin) Cayce, John (Chief Justice, 2nd App) Cornelius, William (Chief Justice, Appeals) Davis, Rex (10th Court of Appeals) Hardberger, Phil (Chief Justice, 4th App) Hecht, Nathan (Supreme Court) Phillips, Thomas (Supreme Court) Ramey, Tom (12th Court of Appeals) Rybacki, Douglas (Court Admin) Schneider, Mike (Chief Justice, 1st Dist) Thomas, Linda (Chief Justice, 5th App) West, David (Assn of State Judges)


| 022:073 Khan | : |
O mankind! A similitude has been coined, so listen to it (carefully): Verily! Those on whom you call besides Allah, cannot create (even) a fly, even though they combine together for the purpose. And if the fly snatched away a thing from them, they would have no power to release it from the fly. So weak are (both) the seeker and the sought. |
| 022:073 Maulana | : |
O people, a parable is set forth, so listen to it. Surely those whom you call upon besides Allah cannot create a fly, though they should all gather for it. And if the fly carry off aught from them, they cannot take it back from it. Weak are (both) the invoker and the invoked. |
| 022:073 Pickthal | : |
O mankind! A similitude is coined, so pay ye heed to it: Lo! those on whom ye call beside Allah will never create a fly though they combine together for the purpose. And if the fly took something from them, they could not rescue it from it. So weak are (both) the seeker and the sought! |
| 022:073 Rashad | : |
O people, here is a parable that you must ponder carefully: the idols you set up beside GOD can never create a fly, even if they banded together to do so. Furthermore, if the fly steals anything from them, they cannot recover it; weak is the pursuer and the pursued. |
| 022:073 Sarwar | : |
People, listen to this parable: Those whom you worship instead of God do not have the power to create even a fly, even though all of them would come together for the task. If the fly was to snatch something from them they would not be able to rescue it from the fly. How feeble are such worshippers and that which they worship. |
| 022:073 Shakir | : |
O people! a parable is set forth, therefore listen to it: surely those whom you call upon besides Allah cannot create fly, though they should all gather for it, and should the fly snatch away anything from them, they could not take it back from i weak are the invoker and the invoked. |
| 022:073 Sherali | : |
O men, a similitude is set forth, so listen to it. Surely those on whom you call upon instead of ALLAH cannot create even a fly, though they should all combine together for the purpose. And if the fly should snatch away anything from them, they cannot recover it therefrom. Weak, indeed, are both the seeker and the sought. |
| 022:073 Yusufali | : |
O men! Here is a parable set forth! listen to it! Those on whom, besides Allah, ye call, cannot create (even) a fly, if they all met together for the purpose! and if the fly should snatch away anything from them, they would have no power to release it from the fly. Feeble are those who petition and those whom they petition! |
Concepts/Themes Covered: أركان الإسلام > التوحيد > الشرك والمشركون > أصنامهم والتهكم بهم على عبادتها Pillars of Islam> Islamic> Polytheism and the Polytheists> Their Idols and the Mockery for Worshipping them أركان الإسلام > التوحيد > الشرك والمشركون > تنزيه الله جلّ جلاله عن الشريك Pillars of Islam> Islamic> Polytheism and the Polytheists> Allah's Freedom from Partnership العلوم والفنون > الحقائق العلمية و الإشاة إلى وقائع أيدتهاالإكتشافات العلمية > الحيوانات والحشرات Science and Art> The Scientific Facts and the Indication to Facts which have been supported by the Scientific Discoveries>Animals and Insects
This tool uses eight English parallel translations for the Holy Quran imported from Mr. Clay Smith. You can also visit Qurany Concepts for browsing the Quran themes or topics. If you want to search the Holy Quran for keywords, please visit Qurany Keywords.


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VFYCHAIN
Section: NSS Security Tools (1)Updated: 5 June 2014
Index Return to Main Contents
NAME
vfychain_ - vfychain [options] [revocation options] certfile [[options] certfile] ...SYNOPSIS
- vfychain
STATUS
DESCRIPTION
The verification Tool, vfychain, verifies certificate chains. modutil can add and delete PKCS #11 modules, change passwords on security databases, set defaults, list module contents, enable or disable slots, enable or disable FIPS 140-2 compliance, and assign default providers for cryptographic operations. This tool can also create certificate, key, and module security database files.
The tasks associated with security module database management are part of a process that typically also involves managing key databases and certificate databases.
OPTIONS
-a
- the following certfile is base64 encoded
-b YYMMDDHHMMZ
- Validate date (default: now)
-d directory
- database directory
-f
- Enable cert fetching from AIA URL
-o oid
- Set policy OID for cert validation(Format OID.1.2.3)
-p
-
Use PKIX Library to validate certificate by calling:
* CERT_VerifyCertificate if specified once,
* CERT_PKIXVerifyCert if specified twice and more.
-r
- Following certfile is raw binary DER (default)
-t
- Following cert is explicitly trusted (overrides db trust)
-u usage
- 0=SSL client, 1=SSL server, 2=SSL StepUp, 3=SSL CA, 4=Email signer, 5=Email recipient, 6=Object signer, 9=ProtectedObjectSigner, 10=OCSP responder, 11=Any CA
-T
- Trust both explicit trust anchors (-t) and the database. (Without this option, the default is to only trust certificates marked -t, if there are any, or to trust the database if there are certificates marked -t.)
-v
- Verbose mode. Prints root cert subject(double the argument for whole root cert info)
-w password
- Database password
-W pwfile
- Password file
-
Revocation options for PKIX API (invoked with -pp options) is a collection of the following flags: [-g type [-h flags] [-m type [-s flags]] ...] ...
Where:
-g test-type
- Sets status checking test type. Possible values are "leaf" or "chain"
-g test type
- Sets status checking test type. Possible values are "leaf" or "chain".
-h test flags
- Sets revocation flags for the test type it follows. Possible flags: "testLocalInfoFirst" and "requireFreshInfo".
-m method type
- Sets method type for the test type it follows. Possible types are "crl" and "ocsp".
-s method flags
- Sets revocation flags for the method it follows. Possible types are "doNotUse", "forbidFetching", "ignoreDefaultSrc", "requireInfo" and "failIfNoInfo".
ADDITIONAL RESOURCES
For information about NSS and other tools related to NSS (like JSS), check out the NSS project wiki at m[blue]http://www.mozilla.org/projects/security/pki/nss/m[]. The NSS site relates directly to NSS code changes and releases.
Mailing lists: https://lists.mozilla.org/listinfo/dev-tech-crypto
AUTHORS
The NSS tools were written and maintained by developers with Netscape, Red Hat, Sun, Oracle, Mozilla, and Google.
Authors: Elio Maldonado<EMAIL_ADDRESS>Deon Lackey<EMAIL_ADDRESS>LICENSE
Licensed under the Mozilla Public License, v. 2.0. If a copy of the MPL was not distributed with this file, You can obtain one at http://mozilla.org/MPL/2.0/.
NOTES
- 1.
-
Mozilla NSS bug 836477
Index
This document was created by man2html, using the manual pages.
Time: 05:29:12 GMT, December 24, 2015


Multi Resolution Support with Cocos2d-x
I wrote about Introduction to Cocos2d-x in my first post. I am going to write again about cocos2d-x in this post.
One of the biggest developer problems is setting application for different resolutions. Cocos2d-x is not support default multi resolution as most of the game engines. So how we set our game for different resolutions?
We can categorize image resources. For example;
- iPhoneSD(320 x 480)
- iPhoneHD1(640 x 960)
- iPhoneHD2(640 x 1136)
- iPhoneHD3(750 x 1334)
- iPhoneUHD(2208 x 1242)
- iPadSD(768 x 1024)
- iPadHD(2048 x 1536)
Do we have to set each resolution like this? No, We can image scale to fit for the screen. But if there is big different with the orginal aspect ratio may seem terrible. You can fit image scale to screen as following;
Size visibleSize = Director::getInstance()->getVisibleSize();
Vec2 origin = Director::getInstance()->getVisibleOrigin();
auto bg = Sprite::create("HelloWorld.png");
bg->setPosition(Vec2(visibleSize.width/2 + origin.x, visibleSize.height/2 + origin.y));
bg->setScale(visibleSize.width/bg->getContentSize().width,
visibleSize.height/bg->getContentSize().height);//Fit to screen size
this->addChild(bg);
We can categorize images for screen sizes aspect ratio. For example into three categories;
- 16/9
- 3/2
- 4/3
Create resources folders and add these to our project.
Now, We have to add some codes to AppDelegate's applicationDidFinishLaunching function.(After glview setting codes)
Here's codes;
auto fileUtils = FileUtils::getInstance();
auto screenSize = glview->getFrameSize();
std::vector<std::string> resDirOrders;
if (screenSize.height/screenSize.width > 1.7f || screenSize.width/screenSize.height > 1.7f)
{
CCLOG("16-9");
resDirOrders.push_back("16-9");
glview->setDesignResolutionSize(screenSize.width, screenSize.height, ResolutionPolicy::NO_BORDER);
}
else if (screenSize.height/screenSize.width > 1.4f || screenSize.width/screenSize.height > 1.4f)
{
CCLOG("3-2");
resDirOrders.push_back("3-2");
glview->setDesignResolutionSize(screenSize.width, screenSize.height, ResolutionPolicy::NO_BORDER);
}
else
{
CCLOG("4-3");
resDirOrders.push_back("4-3");
glview->setDesignResolutionSize(screenSize.width, screenSize.height, ResolutionPolicy::NO_BORDER);
}
fileUtils->setSearchPaths(resDirOrders);
That's all. Also you can download example project here.


Many plants operate in areas of stringent environmental controls. Water containing metallic compounds many not be freely discharged. This calls for closed loop filtration systems. Particulates are continuously removed and oils separated and harvested. As a system, our units are effective and easily maintained.


Suspect in fatal stabbing at Brookline park heads to court
by EndPlayBROOKLINE, Mass. (AP) - The suspect in Brookline's first homicide in 13 years is heading to court.
Norfolk District Attorney Michael Morrissey says 21-year-old Singha Oeun is scheduled to be arraigned on a murder charge Thursday in the death of Nicolas Kern.
The 20-year-old victim was stabbed multiple times in Amory Park at about 2:30 a.m. Tuesday and died at the hospital.
Police Chief Andrew Lipson did not disclose a motive but says the men knew each other and there is no threat to the public. Both men lived in Brookline.
Kern's death is the first homicide in the Boston suburb since 2006.
It could not be determined if the suspect had an attorney.
Amory Park is a family-friendly facility of about eight acres with ballfields, walking trails and tennis courts.


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In the previous lessons, we learned about modeling one table or entity. But almost every real world scenario involves multiple entities that relate to each other. In this lesson we’ll learn how to model multiple tables in a database.
Follow this Treehouse tutorial: https://teamtreehouse.com/library/querying-relational-databases
Watch the first 3 sections:
Then read these 2 tutorials:
Let’s say I want to build on my book-tracking app from Part 1. Now I want to add more features:
We also want to keep the old features:
Now we’ll have multiple entities in the system. Let’s think about what entities we need. We still need Book, since it’s a main object in our system. Since we want to store more information about the author of each book, we should create an entity Author to have a central place to store that data. And finally, we now have multiple users we want to keep track of, so we should have a User entity.
The basic attributes of each entity could be: Book
Author:
User
Now we want to add relationships between the entities.
Let’s assume each book has one author (not true in real life, but we’ll assume it for this exercise). In that case, Book <-> Author is a one-to-many relationship, because each Book has ONE author, but each Author can have written MANY books.
We can model this in our data by adding an attribute on the Book table representing which Author wrote the book. Now Book will look like:
Book
Author ID will contain the ID (primary key) of the author of the book. Author ID is called a “foreign key".
For our second relationship, we want to model which Users have read which Books. User <-> Book is a many-to-many relationship, because a User can read MANY books, and a Book can be read by MANY users.
To create a many-to-many relationship in SQL, we need a new table to represent the relationship. This type of table is called a junction table or join table. Let’s call the table BooksRead. To represent the relationship between the two tables, we include a foreign key to each table in the junction table.
BooksRead
In the case of my app, we actually want to add some more data to this relationship: BooksRead
Imagine you are creating a food website that will have recipes by top chefs from around the world. The following data will be required:
Answer the following questions:
In your own words, define the following term:
What are the 3 types of database relationships? Briefly explain each one. For each one, come up with an example schema that uses the relationship.
Compare your “food website" data model with another apprentice. Are there any differences between your designs? If so, for each difference try to use the data modeling principles you’ve learned to decide which way would be a stronger database design.


Index
present: [4.] ślāyati
Only in the passage tasmāt... vī 'va ślāyanti taruṇam iva hi tarhi reto bhavati JB. ii. 23. Probably a variant to √śrā.


Here at Bueno Pizzaria we offer delicious pizzas that comes with quality service to any and all customers.
We offer a variety of pizza and pizza sizes with even more variety of toppings to make sure we satisfy you're pizza desires.
Here at bueno pizzaria, we offer services from trained and vetted employees who are accountable for there actions and know there stuff!
Our chefs are experienced and it shows with there exquisite pizza that will leave you wanting more.

PIZZA
TOPPINGS
CRUSTS
Be sure to come through with a friend or a party for some BUENO pizza!!


Dolly Parton releases Netflix series 'Heartstrings'
by WVLT NewsKNOXVILLE, Tenn (WVLT) -- Dolly Parton's Netflix series Heartstrings released on Netflix on Friday.
The eight-part series explores the stories behind Dolly's most iconic songs including "Jolene" and "Two Doors Down."
The first season includes the stories behind the songs"
- "Jolene"
- "These Old Bones"
- "If I Had Wings"
- "JJ Sneed"
- "Two Doors Down"
- "Down From Dover"
- "Sugar Hill"
- "Cracker Jack"
Parton plays some of the roles herself, introduces the episodes and provides voice-overs.


Lenders asked what steps they would take if official borrowing costs were pushed below zero
US politics – live coverage
Michelle Obama recently admitted she’s feeling depressed. It’s understandable – but there are reasons to feel hopeful
Brussels says schemes selling citizenship to wealthy investors are illegal
A massive hemp empire is accused of growing illegal marijuana and sowing violence on the Navajo reservation


Pokémon Go (stylized
Pokémon GO) is a location-based, augmented reality game for mobile devices developed by Niantic for iOS and Android operating systems. It was released in most regions of the world in July 2016. Typically played on mobile phones, players use the device's GPS and camera to capture, battle, and train virtual creatures, called Pokémon, who appear on the screen as if they were in the same real-world location as the player. The game is free-to-play, although in-app purchases are advertised for additional gameplay items.
Pokémon Go was released to mixed reviews. Reviewers praised the game and the incentive to be more active in the real world, while noting technical issues apparent at launch. It quickly became one of the most used mobile apps shortly after release and was downloaded by more than 40 million people worldwide. It has been credited with popularizing location-based and augmented reality gaming as well as for promoting physical activity. It also attracted controversy for contributing to car accidents and becoming a public nuisance at some locations, such as the U.S. Holocaust Museum in Washington, DC.


- q() - Method in class org.drip.quant.linearalgebra.QR
-
Retrieve Q
- QEFHoliday - Class in org.drip.analytics.holset
-
- QEFHoliday() - Constructor for class org.drip.analytics.holset.QEFHoliday
-
- Qidong - Class in org.drip.sample.bondeos
-
Qidong demonstrates EOS Fixed Coupon Multi-flavor Pricing and Relative Value Measure Generation for
Qidong.
- Qidong() - Constructor for class org.drip.sample.bondeos.Qidong
-
- Qingdao - Class in org.drip.sample.bondeos
-
Qingdao demonstrates EOS Fixed Coupon Multi-flavor Pricing and Relative Value Measure Generation for
Qingdao.
- Qingdao() - Constructor for class org.drip.sample.bondeos.Qingdao
-
- Qinghuangdao - Class in org.drip.sample.bondeos
-
Qinghuangdao demonstrates EOS Fixed Coupon Multi-flavor Pricing and Relative Value Measure Generation for
Qinghuangdao.
- Qinghuangdao() - Constructor for class org.drip.sample.bondeos.Qinghuangdao
-
- Qiqihar - Class in org.drip.sample.bondeos
-
Qiqihar demonstrates EOS Fixed Coupon Multi-flavor Pricing and Relative Value Measure Generation for
Qiqihar.
- Qiqihar() - Constructor for class org.drip.sample.bondeos.Qiqihar
-
- qm(LatentStateLabel, String) - Method in class org.drip.dynamics.evolution.LSQMCurveSnapshot
-
Retrieve the specified Latent State Quantification Metric Curve
- qm(LatentStateLabel, String) - Method in class org.drip.dynamics.evolution.LSQMPointRecord
-
Retrieve the specified Quantification Metric Value
- qncq() - Method in class org.drip.optimization.constrained.RegularityConditions
-
Retrieve the QNCQ Constraint Qualifier
- QR - Class in org.drip.quant.linearalgebra
-
QR hlds the Results of QR Decomposition - viz., the Q and the R Matrices.
- QR(double[][], double[][]) - Constructor for class org.drip.quant.linearalgebra.QR
-
QR Constructor
- QRDecomposition(double[][]) - Static method in class org.drip.quant.linearalgebra.Matrix
-
Perform a QR Decomposition on the Input Matrix
- QRDecomposition - Class in org.drip.sample.matrix
-
QRDecomposition demonstrates the technique to perform a QR Decomposition of the Input Square Matrix into
an Orthogonal and an Upper Triangular Counterparts.
- QRDecomposition() - Constructor for class org.drip.sample.matrix.QRDecomposition
-
- QREigenComponentExtractor - Class in org.drip.quant.eigen
-
QREigenComponentExtractor extracts the Eigenvalues and Eigenvectors using QR Decomposition.
- QREigenComponentExtractor(int, double) - Constructor for class org.drip.quant.eigen.QREigenComponentExtractor
-
QREigenComponentExtractor Constructor
- QUADRATIC_INTERPOLATION - Static variable in class org.drip.function.r1tor1solver.VariateIteratorPrimitive
-
Quadratic Interpolation
- QuadraticInterpolation(double, double, double, double, double, double) - Static method in class org.drip.function.r1tor1solver.VariateIteratorPrimitive
-
Iterate for the next variate using quadratic interpolation
- QuadraticMeanVarianceOptimizer - Class in org.drip.portfolioconstruction.allocator
-
QuadraticMeanVarianceOptimizer builds an Optimal Portfolio Based on MPT Using the Asset Pool Statistical
Properties using a Quadratic Optimization Function and Equality Constraints (if any).
- QuadraticMeanVarianceOptimizer() - Constructor for class org.drip.portfolioconstruction.allocator.QuadraticMeanVarianceOptimizer
-
Empty QuadraticMeanVarianceOptimizer Constructor
- QuadraticRationalShapeControl - Class in org.drip.function.r1tor1
-
QuadraticRationalShapeControl implements the deterministic rational shape control functionality on top of
the estimator basis splines inside - [0,...,1) - Globally [x_0,...,x_1):
y = 1 / [1 + lambda * x * (1-x)]
where is the normalized ordinate mapped as
x ==== (x - x_i-1) / (x_i - x_i-1)
- QuadraticRationalShapeControl(double) - Constructor for class org.drip.function.r1tor1.QuadraticRationalShapeControl
-
QuadraticRationalShapeControl constructor
- quadraticResampler() - Method in class org.drip.measure.discrete.CorrelatedPathVertexDimension
-
Retrieve the Quadratic Resampler Instance
- QuadraticResampler - Class in org.drip.measure.discrete
-
QuadraticResampler Quadratically Re-samples the Input Points to Convert it to a Standard Normal.
- QuadraticResampler(boolean, boolean) - Constructor for class org.drip.measure.discrete.QuadraticResampler
-
QuadraticResampler Constructor
- QualifyingBucketSet() - Static method in class org.drip.simm.credit.CRThresholdContainer
-
Retrieve the Credit Risk Qualifying Threshold Bucket Set
- QualifyingThreshold(int) - Static method in class org.drip.simm.credit.CRThresholdContainer
-
Retrieve the Credit Risk Qualifying Threshold Instance identified by the Bucket Number
- quality() - Method in class org.drip.simm.credit.CRBucket
-
Retrieve the SIMM 2.0 Credit Quality
- QUANTIFICATION_METRIC_FORWARD_RATE - Static variable in class org.drip.state.basis.BasisCurve
-
Basis Latent State Quantification Metric - Discount Factor
- QUANTIFICATION_METRIC_REPO_RATE - Static variable in class org.drip.state.repo.RepoCurve
-
Basis Latent State Quantification Metric - Discount Factor
- quantity(String) - Method in class org.drip.portfolioconstruction.composite.Holdings
-
Retrieves the Holdings Quantity for the Asset (if it exists)
- QUANTITY - Static variable in class org.drip.portfolioconstruction.optimizer.Unit
-
Constraint Unit - QUANTITY
- quantityMap() - Method in class org.drip.portfolioconstruction.composite.Holdings
-
Retrieve the Map of Holdings Amount
- Quanzhou - Class in org.drip.sample.bondeos
-
Quanzhou demonstrates EOS Fixed Coupon Multi-flavor Pricing and Relative Value Measure Generation for
Quanzhou.
- Quanzhou() - Constructor for class org.drip.sample.bondeos.Quanzhou
-
- QuarticPolynomialBasisCurve(String, JulianDate, ForwardLabel, ForwardLabel, boolean, String[], double[]) - Static method in class org.drip.state.creator.ScenarioBasisCurveBuilder
-
Create an Instance of the Quartic Polynomial Splined Basis Curve
- QuarticPolynomialCurve(String, JulianDate, CurrencyPair, String[], double[], double) - Static method in class org.drip.state.creator.ScenarioFXCurveBuilder
-
Create an Instance of the Quartic Polynomial Splined FX Forward Curve
- QuarticPolynomialCurve(String, JulianDate, String, String, int[], double[]) - Static method in class org.drip.state.creator.ScenarioGovvieCurveBuilder
-
Create an Instance of the Quartic Polynomial Splined Govvie Yield Curve
- QuarticPolynomialDiscountCurve(String, JulianDate, String, int[], double[]) - Static method in class org.drip.state.creator.ScenarioDiscountCurveBuilder
-
Create an Instance of the Quartic Polynomial Splined DF Discount Curve
- QuarticPolynomialRepoCurve(String, JulianDate, Component, int[], double[]) - Static method in class org.drip.state.creator.ScenarioRepoCurveBuilder
-
Create an Instance of the Quartic Polynomial Splined Repo Curve
- QuarticPolynomialTermStructure(String, JulianDate, String, String[], double[]) - Static method in class org.drip.state.creator.ScenarioDeterministicVolatilityBuilder
-
Construct the Deterministic Volatility Term Structure Instance based off of a Quartic Polynomial
`Spline
- QuarticPolynomialTermStructure(String, JulianDate, String, String[], double[]) - Static method in class org.drip.state.creator.ScenarioTermStructureBuilder
-
Construct a Term Structure Instance based off of a Quartic Polynomial Spline
- QuarticPolynomialWireSurface(String, JulianDate, String, double[], String[], double[][]) - Static method in class org.drip.state.creator.ScenarioMarketSurfaceBuilder
-
Construct a Scenario Market Surface off of Quartic Polynomial Wire Spline and Quartic Polynomial
Surface Spline.
- quickSort(int, int) - Method in class org.drip.spaces.big.BigR1Array
-
Sort the Specified Range in the Array using Quick Sort
- quickSort() - Method in class org.drip.spaces.big.BigR1Array
-
Sort the Full Array using Quick Sort
- Qujing - Class in org.drip.sample.bondeos
-
Qujing demonstrates EOS Fixed Coupon Multi-flavor Pricing and Relative Value Measure Generation for
Qujing.
- Qujing() - Constructor for class org.drip.sample.bondeos.Qujing
-
- quote() - Method in class org.drip.feed.loader.TenorQuote
-
Retrieve the Closing Quote
- quote(String) - Method in class org.drip.param.definition.ProductQuote
-
Get the Quote for the given Field
- Quote - Class in org.drip.param.definition
-
Quote interface contains the stubs corresponding to a product quote.
- Quote() - Constructor for class org.drip.param.definition.Quote
-
- quote(String) - Method in class org.drip.param.quote.ProductMultiMeasure
-
- QUOTE_REFERENCE_INDEX_AUD_BOND_FUTURES_STYLE - Static variable in class org.drip.market.exchange.TreasuryFuturesSettle
-
Settle Quote Type - Uses a Reference Index Based off of Conversion Factor Computed AUD Bond Futures
Style
- QUOTE_REFERENCE_INDEX_CONVERSION_FACTOR - Static variable in class org.drip.market.exchange.TreasuryFuturesSettle
-
Settle Quote Type - Uses a Reference Index Based off of Conversion Factor
- QUOTE_REFERENCE_INDEX_FLAT - Static variable in class org.drip.market.exchange.TreasuryFuturesSettle
-
Settle Quote Type - AUD Bank Bill Type - Uses a Flat Reference Index
- QuoteBuilder - Class in org.drip.param.creator
-
QuoteBuilder contains the quote builder object.
- QuoteBuilder() - Constructor for class org.drip.param.creator.QuoteBuilder
-
- quoteCcy() - Method in class org.drip.product.params.CurrencyPair
-
Get the quote currency
- QuoteConvention - Class in org.drip.product.params
-
QuoteConvention contains the Component Market Convention Parameters - the quote convention, the
calculation type, the first settle date, and the redemption amount.
- QuoteConvention(ValuationCustomizationParams, String, int, double, int, String, int) - Constructor for class org.drip.product.params.QuoteConvention
-
Construct the QuoteConvention object from the valuation Customization Parameters, the calculation
type, the first settle date, and the redemption value.
- QuotedSpreadInterpreter - Class in org.drip.param.quoting
-
QuotedSpreadInterpreter holds the fields needed to interpret a Quoted Spread Quote.
- QuotedSpreadInterpreter(String, double) - Constructor for class org.drip.param.quoting.QuotedSpreadInterpreter
-
QuotedSpreadInterpreter constructor
- quoteMap() - Method in class org.drip.analytics.input.BootCurveConstructionInput
-
- quoteMap() - Method in interface org.drip.analytics.input.CurveConstructionInputSet
-
Retrieve the Calibration Quote Map
- quoteMap() - Method in class org.drip.analytics.input.LatentStateShapePreservingCCIS
-
- quoteMap() - Method in class org.drip.param.market.CurveSurfaceQuoteContainer
-
Retrieve the Full Set of Quotes
- quotes() - Method in class org.drip.service.api.FixFloatFundingInstrument
-
Retrieve the Array of Quotes
- quotingParameter() - Method in class org.drip.analytics.input.BootCurveConstructionInput
-
- quotingParameter() - Method in interface org.drip.analytics.input.CurveConstructionInputSet
-
Retrieve the Quoting Parameter
- quotingParameter() - Method in class org.drip.analytics.input.LatentStateShapePreservingCCIS
-


| id | Customer | Status | Date Added | Total | |
|---|---|---|---|---|---|
| 134 | Summer Throssell | Pending | 24/04/2012 | $120.23 | |
| 133 | Declan Pamphlett | Pending | 23/04/2012 | $320.00 | |
| 132 | Erin Church | Pending | 23/04/2012 | $44.00 | |
| 131 | Koby Auld | Pending | 22/04/2012 | $180.20 | |
| 130 | Anthony Pound | Pending | 20/04/2012 | $610.42 |


AE-1 Repair
Right at the beginning of the pandemic, Theo gave me this Canon AE-1 with a really nice Tamron Adaptall 35-80mm lens and a stuck shutter.
After removing the bottom panel, the shutter could be mechanically released by pushing the small trapezoidal magnet (under the clear plastic cover) away from the electromagnet. This meant that the camera was mechanically sound.
So the next place to look was at the shutter electronics which are all on the gold flex pcb to the left of the electromagnet. After undoing the bolt constraining the flex and freeing the electromagnet from its housing, it was clear that something was missing. A component had fallen off the board. Just below the resistor in the following picture you can see the two well-aged leads of a through-hole component conspicuously disconnected.
The repair manual informed me that this was supposed to be a diode, so I bought one and soldered it on.
The repair manual is surprisingly well written and relatively comprehensive. It includes the following diagram of the shutter electronics which shows that the diode is used to charge up capacitor c47. The capacitor can then be discharged through the windings of Mg2, pushing the shutter magnet away from the coils. The lack of diode had been preventing the cap from charging.
Even with the fresh diode in place, the shutter electronics still failed to release when the trigger was pressed. After probing a couple of the components on the flex, I found a that the windings around the magnet Mg2 had broken. I desoldered the magnet and hoped that the break wasn’t somewhere deep in the coil.
Indeed, after some searching the break was visible. Soldering the magnet wire took a few tries. It is hair thin and coated in enamel to prevent shorts. The internet suggested burning the enamel off with a lighter, but the wire was so thin that it burned just as quickly as the enamel did. The eventual solution was to pass a hot soldering iron across the wire a few times to remove the enamel. The solder joint is at the upper left of the coil in the image above.
 When I put the bottom cover back on the camera, the shutter stopped firing. After some searching, it turns out that the leads on my new diode were a little bit too long and the bottom cover was causing them to short to the camera body. After trimming the stray leads, the camera was ready to take some pictures.
Here are a couple of the pictures Eleanor took with Portra 400 film.


--- layout: page title: Home sitemap: priority: 0.2 changefreq: monthly lastmod: 2013-08-01T18:00:00-05:00 ---
I'm a software engineer, who's been working with building software since 1997, specially web-based applications. In terms of technology, my career is pretty much separated into two parts: Java and Ruby. I've built web applications for large telecommunication companies, such as Manitoba Telecommunications(MTS), AMCTV, We.tv, News12, and SportSkool using Java frameworks, including Struts, Webwork and Spring. Since 2006, I've moved to the Ruby camp, and have really enjoyed working full-time with Ruby and Rails; dynamic and easily-testable languages as the way to go. I wrote a couple of Ruby on Rails books, "Beginning Rails" and "Beginning Rails 3" for Apress. I am currently working for LivingSocial in South Florida.


Application GUI v1.1 - Java 1.4
@author Gunnar Kiesel - 23.04.2004
1. What is the Desmo-J Experiment Starter?
The Experiment Starter enables you to run an experiment (or a series of experiments) on a Desmo-J model. You are able to manipulate the given model and experiment parameters. Parameter sets can be saved and loaded. Graphical observers can provide visual information on the experiment. Finally you'll be able to view experiment results.
1.1 System requirements
Java 1.4 is needed to run the Experiment Starter Application.
2. Usage
2.1 Top Buttons
New - Load a new model via this button.
Load - Enables you to load a paramter set from file.
Save - Saves the current parameter settings into an XML file.
Reset - Once an experiment has been run you'll need to reset it. Only then will you be able to run a new experiment. 'Reset' resets all parameter to their default values.
Start - Starts the experiment with the current parameter values.
Stop - Stops a running experiment and creates reports (Experiments are automatically stopped when the stopTime value is reached). Stopped experiments cannot be continued.
Pause - Allows you to pause and resume an experiment run. Observers will be updated when pause is activated. However, no reports will be generated.
2.2 Panels
Settings
The Settings panel, which is divided in two halves, shows you the current model- and experiment- parameters.
To change a given value, click the corresponding field. Press 'enter' to complete your input.
Make sure you enter a new name for each new parameter set.
Note: To be able to use the advanced functions as described under 'Reports' below, 'reportOutputType' and 'traceOutputType' need to be set as 'desmoj.report.XMLReportOutput' / 'desmoj.report.XMLTraceOutput'.
Observers
Provides you with graphical information on the current experiment. Observers will appear at the start of an experiment. Graphs will be updated at whenever an experiment is paused or at the end of an experiment.
Reports
Allows you to view the reports generated at the end of an experiment. On the left hand side double click the 'simulation output' folder. A new folder with the current experiment name will appear.
By selecting the new folder the right hand side view will be updated. It now enables you to adjust the trace and report output files according to your needs. In order to do so you have the following possibilities:
Trace Settings
Report Settings
Under this heading you will see a panel for each reporter type that appears in the reportoutput. By clicking the panel and cheking or unchecking the checkbox immediately underneath it you can choose wether this reporter shall appear in the output or not.
Further below you will see a list of parameters that belong to this reporter. Select all those you want to view in the report.
Note: Leaving all reporters / parameters unchecked will result in seeing them all in the output.
After you have made your settings for a trace or report you will need to click the "aply" button that belongs with them. Your output will then be generated.
Note: The settings will always be aplied to the experiment stated on top of the right hand side. In order to switch between experiments select their experiment folders on the left. Changing an experiment may however take some time, so if you do not want to change settings simply directly click the documents (see below).
To be able to reuse given settings save and load them with the buttons next to "aply".
By double clicking the experiment-folder on the left hand or single clicking the switch next to it will open. Four documents corresponding to the generated output will appear.
Single clicking these documents will open the output files in one new window. In case you want to view more then one file at a time hold down "shift" will clicking on the document, as this will give you an additional window.
Manual
Shows this text.


{% extends "base.html" %} {% block content %}
We couldn't find a page here. How about we take you back to Inkpebble?
Return home


--- layout: default Title: Pay your Bath Record Office fees Breadcrumb1_url: ../payforit/pay-for-it.html Breadcrumb1_title: Pay for it ---
In order to pay your Bath Record Office fees online you will need to know your reference number. This can be found on the top right hand side of your bill.
Pay your Bath Record Office fees onlineYou can pay your allotment bill by calling the automated payments line on 0845 6035058, available 24 hours a day, seven days a week. Payments can only be made by all major credit and debit cards.
Payments can be made at One Stop Shops in Bath, Keynsham and Midsomer Norton.
Self-service payment kiosks are available for cash, debit and credit card payments. These machines are unable to accept £50 notes.
You'll need to have your account / reference / invoice number with you.
Automatic receipts are provided for payments.


var eglSurface: EGLSurface!
Current EGLSurface. Will likely be EGL14.EGL_NO_SURFACE on init. As EglCore does not include helper functions users must create this value themselves, which is why it is defined as var
var


Branding Guidelines Logos Logo (512x512) Screenshots iPhone X Screenshot Pixel Screenshot 1 Pixel Screenshot 2 Pixel Screenshot 3 Pixel Screenshot 4 Pixel Screenshot 5 Pixel Screenshot 6 Color Palette auToDo Green:


Dear {{ username }} , Your appointment will be on {{ curDate | date }} from : {{ sliceFrom }} to : {{ sliceTo }}


Dear user,
*** This is a system generated email, do not reply to this email ***
Please be informed, that files under the path ${CP_DOLLAR}templateParameters.get("path") in storage ${CP_DOLLAR}templateParameters.get("storageName")
have been restored till ${CP_DOLLAR}templateParameters.get("restoredTill")
Best regards,
$CP_PREF_UI_PIPELINE_DEPLOYMENT_NAME Platform


| #SI | Payments Type | Invoice NO. | Payment Status | Raised Date | Due Date | Download Invoice | Amount | Edit |
|---|---|---|---|---|---|---|---|---|
| {{$index+1}} | {{paymentList.payment_type_id}} | {{paymentList.invoices_no}} | {{paymentList.status_id}} | {{paymentList.created_at | date }} | {{paymentList.due_date | date}} | Download | {{paymentList.amount}} |


Spring Boot Web Thymeleaf + Bootstrap + jQuery Example
Use of Datatables.net by REST Service
instruction
First Name
Last Name
Age


This site is still in development. If you encounter bugs or strange behavior please report it.
Must start with any of: #/ckan/spacedock/
, #/ckan/github/
, #/ckan/http/
Loading files from the index repository might be implemented later
Fields filled by the NetKAN indexer look like - you can override auto-detection by setting a value yourself. If unsure - don't override.
==1.0
or <=1.1>=1.0.3
- set to any
(or leave empty) to state compatibility
with all versions
If this mod requires other mods to be installed alongside it, use Relationships. Do not use install instructions to install multiple mods.
Selecting the .zip file on your computer will enable automatic path completion.
No data will be uploaded
anywhere.
You can add version restrictions. For example SomeModID
can be restricted like SomeModID ==1.0
or SomeModID <=1.1 >=1.0.3


HEV hepatitis :â€" virus []. infection swine pigs Virol. genotype RNA avian wild strains animal Microbiol. Hepatitis ORF human study viral anti-HEV antibodies [], boar pig MengX.J., liver transmission different observed (/) Med. identified infected {border-style IgG Vet. acute Clin. animals cases detection patients px;} reported risk #ffffff;} Japan age chickens genotypes zoonotic Infect. prevalence days weeks RT-PCR approximately protein rats species Dis. HalburP.G., Wild associated deer meat presence regions replication Detection Japan, Prevalence United Viral consumption genome infections infectious model performed sequence seroprevalence suggesting (HEV) EmersonS.U., IgM countries detected endemic humans positive possible rate virus, Gen. GuenetteD.K., HEV, PurcellR.H., USA capsid commercial contamination developed infect months patient strain using â€² However, HuangF.F., Res. boars contaminated evidence food genetically higher known livers mammalian population pregnant recently, related results shown Am. DeusN., HEV. Hyg. JameelS., MartinM., ORF, PeraltaB., Trop. cell disease feces high important inÂ isolated large natural px; raw water {font-family â€" Hepat. Hepatol. Serum States, Virology and/or assays clinical contact countries, cross-species deer, end excretion experimental font-size including number proteins rat recent rhesus route samples similar studies swine, used veterinarians vitro (Fig. (Tab. Evidence India, Liver PinaS., Spain, TakahashiK., Thus, analysis antibody autochthonous cases, characterization closely developing double; encodes fecal fulminant herds inoculation mainly models novel pork potential rabbit remains reservoir showed sites study, tested viruses AggarwalR., Animal BouwknegtM., CasasM., Emerg. KasorndorkbuaC., LiT.C., MansuyJ.M., MateuE., Methods OpriessnigT., PandaS.K., PiersonF.W., RutjesS.A., Spain Swine age, border-color border-width chicken complete confirmed efficient estimated evaluate failure genetic genomic geographic herd identification industrialized infection, major mortality new non-endemic non-human nucleotide open origin particles pathogenesis people populations reading recovered reservoirs rodents role rural seropositive serum small solid; specific subgenomic syndrome time waterborne {font-style {font-weight (genotype ArankalleV.A., Arch. BradleyD.W., ELISA EngleR.E., Europe Expression France Genetic Genotype Germany Grilled HaqshenasG., I). Int. KrawczynskiK., Lancet Netherlands, NguyenH., NicandE., PavioN., RenouC., SunZ.F., TakedaN., TothT.E., animals. areas available based blood boar, bold chronic concern conditions consumed courier; data diagnosis did direct distinct em; enzyme epidemics experimentally exposure extrahepatic factors family frame generally genus grocery hepatic highest host humans. investigated involved lesions likely limited liver, main numbers onset pigs, play pregnancy pregnancy, present primates probably products protein, pt;} rabbits real-time regions, replication, represent responsible retrospective sequences seroconversion shedding source sporadic stores transmissions underlying urban various versus vertical viremia virus: widespread


Pair programming facilitates teamwork and allows the pairs to learn from one another. It also makes developers more efficient and reduces errors. When one developer is able to focus entirely on the direction that the pair are heading while the other developer can focus on input and creation, the two synergize and function more efficiently and productively.
The driver is the person writing the code and the navigator is double checking the code as its written and also looking ahead to see the next logical step in the program. In the most literal definition of peer-programming: the driver is the only person typing the code and the navigator is dictating what the driver types. The driver only types what the navigator says.


Creating Custom Template
Default template is used if no other is provided via options (using --template
or -t
). For now the only handlebars backend is provided.
There are only two requirements for creating your own template for Doctor Mark Down. Every template should contain index.hbs
file
and assets
folder with all necessary assets.
You can create new template directly in your project. For example create folder documentation_template
. Like this:
documentation_template
|- assets
| |- style.css
|- index.hbs
Really simple index.html
can look like for example this:
<!doctype html>
<html>
<head>
<link rel="stylesheet" href="{{assetsPath}}/style.css">
</head>
<body>
<nav>
{{#if navigation}}
{{{navigation}}}
{{else}}
{{{menu}}}
{{/if}}
</nav>
<main>{{{content}}}</main>
</body>
</html>
You can then compile documentation using your custom template by running this commnad within project root directory:
docmd --template documentation_template
# or
docmd --t documentation_template
Api
There are three for parts currently provided by parser - menu
, navigation
, content
and assetPath
.
| value | description |
|---|---|
menu |
Structure of current page with links (based on headlines) |
navigation |
Menu of all ducuments in repository (using --recursive ) |
content |
HTML content of currently opened document |
assetPath |
folder where assets are located (relative to currently opened document) |


@POST
@Consumes("multipart/form-data")
public Response postForm(MultipartFormDataInput input) {
...
}
13 March 2021
Multipart form-data messages are a standard format when submitting HTML forms by web applications. If you want to learn more about the processing of such requests by Jakarta EE JAXRS servers this Blog post might be interesting for you.
In the recent Blog post JAXR Multipart Client I had a look on multipart form-data messages from the perspective of a client. The situation on the server-side is not less difficult.
One might say, that multipart form-data messages are usually used in web applications while JAXRS targets to implement APIs - that might also be the reasoning behind leaving multipart messages out of the JAXRS standard. But you’ll likely find multipart form-data messages in APIs when it comes to file uploads. Furthermore, the coming Jakarta EE 9 standard includes MVC, an action based web application framework, which is build on top of JAXRS. In the context of MVC I’d expect multipart form-data messages as typical use case.
There are several options to process multipart form-data messages by a JAXRS server.
As always, if the standard does not cover a generally used feature, proprietary solutions are present. Every supplier of a JAXRS implemention provides support of multipart messages. For example JBoss comes with RestEasy Multipart Providers. The API looks simple and straight-forward:
@POST
@Consumes("multipart/form-data")
public Response postForm(MultipartFormDataInput input) {
...
}
The RestEasy Provider
for multipart/form-data
messages takes care of the
de-marshalling of the HTTP message body and converts them to the Java object
MultipartFormDataInput
representation.
However, as always, proprietary solutions defeat the most valuable benefit of standards like JAXRS, which is portability. But there are other options to process multipart messages.
The Servlet API supports the processing of multipart messages since version 3.0. Because Servlet requests can be injected into JAXRS resources as context objects, the integration of the APIs is very easy:
@POST
@Consumes("multipart/form-data")
public Response formPost(@Context javax.servlet.http.HttpServletRequest request) {
...
}
Calling the getParts
method on the injected request
object returns a
collection of javax.servlet.http.Part
objects.
I don’t want to go into any detail of such an implementation, but the Blog post File Uploads with JAX-RS 2 by Jason Lee describes a sample implementation of this approach.
Because the Servlet API is rather low-level compared to JAXRS, more application code is typically required. Nevertheless, because of the standard compliance and the plus of portability, I’d prefer the Servlet API approach over proprietary solutions.
If you’re read my Blog post
JAXR
Multipart Client, you might remember the custom MessageBodyWriter
approach
presented there. Analogous, we could implement a MessageBodyReader
on the
server-side. The JAXRS resource would as follows:
@POST
@Consumes("multipart/form-data")
public Response postFormData(MultiPartMessage message) {
...
}
Objects of type MultiPartMessage
are Pojos representing multipart messages,
the same as used on the client-side.
Because parsing multipart messages is more difficult than creating them, the
implementation of MultiPartMessageBodyReader
is more challenging than the
MultiPartMessageBodyWriter
of the client has been.
I won’t list the entire implementation here, but give you enough information
understand the code, you’ll find in the portable-server
module of the
Multipart/Form-Data Project.
The MessageBodyReader
is the entry point of JAXRS integration:
@Provider
@Consumes("multipart/form-data")
public class MultiPartMessageBodyReader implements MessageBodyReader<MultiPartMessage> {
private static final Logger LOGGER = LoggerFactory.getLogger(MultiPartMessageBodyReader.class);
@Override
public boolean isReadable(Class<?> type, Type genericType, Annotation[] annotations, MediaType mediaType) {
LOGGER.info("isReadable called with type: {} and mediaType: {}", type, mediaType);
return MultiPartMessage.class.isAssignableFrom(type)
&& mediaType.toString().toLowerCase().startsWith("multipart/form-data");
}
@Override
public MultiPartMessage readFrom(Class<MultiPartMessage> type, Type genericType, Annotation[] annotations,
MediaType mediaType, MultivaluedMap<String, String> httpHeaders, InputStream entityStream)
throws IOException, WebApplicationException {
...
}
]
The @Provider
annotation declares the class to JAXRS, which calls this reader
when the de-marshalling of messages of content type multipart/from-data
is
required.
The challenging task of the readFrom
method is the parsing of the
message given as input stream. While the MultiPartMessageBodyReader
parses
individual parts, the separating of the parts of the input stream is delegated
to the PartInputStream
. The following diagram show the principle behind:
The InputStream
is wrapped by a PartInputStream
, which returns bytes until
the boundary is reached. The InputStream
can then be wrapped by another
PartInputStream
, which returns the end-of-file indicator when the next
boundary is reached. This goes on till all parts are consumed from the
input stream.
Before going into the nifty details of the implementation of the boundary detection, let’s re-cap the structure of the messages, which look for example like:
-----------------------------397924929223145234582961090009 Content-Disposition: form-data; name="file"; filename="duke.png" Content-Type: image/png
...binary content of PNG image... -----------------------------397924929223145234582961090009 Content-Disposition: form-data; name="name"
Gunther -----------------------------397924929223145234582961090009 Content-Disposition: form-data; name="age"
55 -----------------------------397924929223145234582961090009--
The parts of the message are delimited by the boundary string. Also note, that the content can (partially) be binary. You’ll find the details of message format in RFC 7578 Returning Values from Forms: multipart/form-data.
To detect the boundary, but not consume bytes if some message content looks
like the beginning of the boundary, a kind of read-ahead is required. The
simplest way to implement such a read-ahead is to use the methods
InputStream#mark
and InputStream#reset
. Therefor, the input stream is
wrapped into a BufferedInputStream
on demand:
if (!entityStream.markSupported()) {
LOGGER.debug("Wrap entity input stream to buffered input stream to support mark and reset operations.");
return new BufferedInputStream(inputStream);
} else {
return inputStream;
}
The boundary detection in the method PartInputStream#read
relies on the
mark/reset mechanism which allows to read-ahead some content and rewind the
read position if required.
In addition, the PartInputStream
class contains the detection if the last
part has been reached.
The implementation does actually have some complexity, but gives the best API user experience.
When it comes to processing of multipart form-data messages by JAXRS servers, it depends on the general condition of the project and the team, which route to go. But because there are alternatives to the proprietary solutions, I’d in almost all cases avoid a non-portable approach.
While the Servlet approach requires code of less complexity, the JAXRS solution is more general and gives a nicer and simpler API for the application developer. Both are viable solutions and choosing one of them is a matter of project circumstances and may be taste.


Aloha!
Welcome to my DBCxNYC
Website
By Kim Brewer
https://github.com/kabrewer07
Technical Blog Posts
Week 1
Week 2
Week 3
Week 4
Week 5
Week 6
Week 7
Week 8
Cultural Blog Posts
Week 1
Week 3
Week 4
Week 5
Week 6
Week 7
Week 8
Week 9
Other Links
DBC1
DBC2
Wireframing
GPS 1.1
Index Page Wireframe Plan
Looping in JS and Ruby reference


In a simpler way, method handles are a low-level mechanism for finding, adapting and invoking methods.
Method handles are immutable and have no visible state.
For creating and using a MethodHandle, 4 steps are required:
The first thing to do when we want to create a method handle is to retrieve the lookup, the factory object that is responsible for creating method handles for methods, constructors, and fields, that are visible to the lookup class.
Through the MethodHandles API, it's possible to create the lookup object, with different access modes.
Let's create the lookup that provides access to public
methods:
However, in case we want to have access also to private
and protected
methods, we can use, instead, the lookup()
method:
In order to be able to create the MethodHandle
, the lookup object requires a definition of its type and this is achieved through the MethodType
class.
In particular, a MethodType represents the arguments and return type accepted and returned by a method handle or passed and expected by a method handle caller.
The structure of a MethodType
is simple and it's formed by a return type together with an appropriate number of parameter types that must be properly matched between a method handle and all its callers.
In the same way as MethodHandle
, even the instances of a MethodType
are immutable.
Let's see how it's possible to define a MethodType
that specifies a java.util.List
class as return type and an Object array as input type:
In case the method returns a primitive type or void
as its return type, we will use the class representing those types (void.class
, int.class
…).
Let's define a MethodType
that returns an int
value and accepts an Object
:
Once we've defined our method type, in order to create a MethodHandle, we have to find it through the lookup or publicLookup object, providing also the origin class and the method name.
In particular, the lookup factory provides a set of methods that allow us to find the method handle in an appropriate way considering the scope of our method. Starting with the simplest scenario, let's explore the principal ones.
Using the findVirtual()
method allow us to create a MethodHandle
for an object method.
Let's create one, based on the concat()
method of the String
class:
When we want to gain access to a static method, we can instead use the findStatic()
method:
In this case, we created a method handle that converts an array of Objects to a List of them.
Gaining access to a constructor can be done using the findConstructor()
method.
Let's create a method handles that behaves as the constructor of the Integer
class, accepting a String
attribute:
Using a method handle it's possible to gain access also to fields.
Let's start defining the Book
class:
Having as precondition a direct access visibility between the method handle and the declared property, we can create a method handle that behaves as a getter:
Creating a method handle for a private
method can be done, with the help of the java.lang.reflect
API.
Let's start adding a private
method to the Book
class:
Now we can create a method handle that behaves exactly as the formatBook()
method:
Once we've created our method handles, use them is the next step.
In particular, the MethodHandle
class provides 3 different way to execute a method handle: invoke()
, invokeWithArugments()
and invokeExact()
.
When using the invoke()
method, we enforce the number of the arguments (arity) to be fixed but we allow the performing of casting and boxing/unboxing of the arguments and return types.
Let's see how it's possible to use the invoke() with a boxed argument:
In this case, the replaceMH
requires char arguments, but the invoke()
performs an unboxing on the Character
argument before its execution.
Invoking a method handle using the invokeWithArguments
method, is the least restrictive of the three options.
In fact, it allows a variable arity invocation, in addition to the casting and boxing/unboxing of the arguments and of the return types.
Coming to practice, this allows us to create a List
of Integer
starting from an array of int
values:
In case we want to be more restrictive in the way we execute a method handle (number of arguments and their type), we have to use the invokeExact()
method.
In fact, it doesn't provide any casting to the class provided and requires a fixed number of arguments.
Let's see how we can sum two int values using a method handle:
If in this case, we decide to pass to the invokeExact
method a number that isn't an int
, the invocation will lead to WrongMethodTypeException
.


(a) Schematic illustration of sequence of lithiation/de-lithiation mechanism in the purpurin molecule: (1) Molecular structure of pristine purpurin; (2) Intermediate of lithiated purpurin, and (3) Binding of lithium ion with carbonyl and hydroxyl groups of purpurin at C-1 (–OH a) and C-4 (–OH c) respectively. (b) Photograph of (1) pristine purpurin and (2) Chemically lithiated purpurin (1:2 ratio).


ML-Ensemble
| author: | Sebastian Flennerhag |
|---|---|
| license: | MIT |
| copyright: | 2017-2018 |
Global backend configurations.
Variables
DTYPE
: data type of prediction arrays. Must be a numpy dtype. Default isfloat32
.TMPDIR
: path to directory where temprorary caches will be hosted. Default is to use systemtmp
structure.PREFIX
: cache prefix. Default is'.mlens_tmp_cache_'
BACKEND
: global default backend. Default is'threading'
START_METHOD
: global start method (ifbackend='multiprocessing'
) Default is'fork'
VERBOSE
: verbose import. Set toY
for verbose. Needs to be set before import (i.e.export MLENS_VERBOSE=0
).IVALS
: load exception handling interval. Default is(0.01, 120)
.
Environmental variables can be set by
export MLENS_[VARIABLE]=VALUE
For changing defaults during a session, use
set_[variable]
and get_[variable]
, where [variable]
is replaced
with the lower case name of the environmental variable to change.
Changing global configurations in-session is experimental: Please report any unexpected behavior.
mlens.config¶
dtype¶
tmpdir¶
backend¶
start_method¶
prefix¶
ivals¶
Utility¶
clear_cache¶
-
mlens.config.
clear_cache
(tmp)[source]¶ Check that cache directory is empty.
Checks that a specified directory do not contain any directories with the ML-Ensemble temporary cache signature. Attempts to remove any found directories.
Parameters: tmp (str) – the directory to check for residual caches in.


Spot on by Korea University professor (#2 college in Korea)
"Even if a project has an advanced technology, if the project doesn’t sell, there is no use. But, if the project is less advanced but sells well, it can compete."
Next phase in blockchain is to convince users ...


Licensed by ST under Ultimate Liberty license SLA0044 (the “License”). You may not use this package except in compliance with the License. You may obtain a copy of the License at:
This directory contains the demonstrations to illustrate the capabilities of the STM32L4R9I-EVAL Kit.
Demonstrations
MenuLauncher MB1314 and MB1315 demonstrations
STemWin MB1315 demonstration
Package size reduction
Media files moved from Project\STM32L4R9I-EVAL\Demonstrations\MenuLauncher\MB1314\Binary\SDCard and Project\STM32L4R9I-EVAL\Demonstrations\MenuLauncher\MB1315\Binary\SDCard to Utilities\Media\Audio
Removed graphical source assets


Below are links to the most common tool used by Prebid reviewers. For more info on PR review processes check out the General PR Review Process page on Github.


smpy
¶
CSP (ssp[, age, sfh, dust, metal_ind, f_esc, ...]) |
Class for building composite stellar populations from input SSPs |
FileFilter (filepath[, maxbins]) |
Methods |
Filter () |
|
FilterSet ([path]) |
Class to build sets of filters for mock observations |
LoadEAZYFilters (path) |
Load EAZY filter file into easily accessible library |
Observe (SED, Filters, redshift[, force_age, ...]) |
Mock photometry class |
ObserveToFile () |
Mock photometry class |
TophatFilter (centre, width[, steps]) |
CSP
¶
-
class
smpy.smpy.
CSP
(ssp, age=None, sfh=None, dust=None, metal_ind=None, f_esc=None, sfh_law=<function exponential>, dust_model=<function Calzetti>, neb_cont=True, neb_met=True)¶ Class for building composite stellar populations from input SSPs
Methods
addEmissionLine
(wavelength, EqW)Add emission line to SED build
(age, sfh, dust, metal[, fesc, ...])Build composite stellar population SED(s) from input SSP models calc_lyman
(wave, seds)Calculate total Lyman continuum photons for an SED -
__init__
(ssp, age=None, sfh=None, dust=None, metal_ind=None, f_esc=None, sfh_law=<function exponential>, dust_model=<function Calzetti>, neb_cont=True, neb_met=True)¶ Parameters: ssp : :
- age : ‘~astropy.units.Quantity’ array (with units of time)
Desired stellar population age(s) since the onset of star-formation
- sfh : array of float or ‘~astropy.units.Quantity’,
Star-formation history parameter/exponent
- dust : array of floats,
Strength of dust extinction in Av
- metal_ind : float or float array,
Metallicity or metallicity range of stellar population relative to solar metallicity (Z/Z_sol), min and max allowed values set by range of input metallicities in ‘ssp’ class
- f_esc : float or array of float,
Escape fraction(s) of nebular emission component
- sfh_law : ‘~smpy.sfh’ or user defined function,
Star-formation history parametrisation for composite stellar population.
- dust_model : ‘~smpy.dust’ or user defined function,
Dust extinction or attenuation law parametrisation
- neb_cont : boolean, default = True
Include continuum emission component in nebular emission model
- neb_met : boolean, default = True
Include metal line component in nebular emission model
-
addEmissionLine
(wavelength, EqW)¶ Add emission line to SED
-
build
(age, sfh, dust, metal, fesc=1.0, sfh_law=<function exponential>, dust_model=<function Calzetti>, neb_dust_weight=1.0, neb_cont=True, neb_met=True, timesteps=500, verbose=False)¶ Build composite stellar population SED(s) from input SSP models
Parameters: ssp : SSP class
- age : ‘~astropy.units.Quantity’ array (with units of time)
Desired stellar population age(s) since the onset of star-formation
- sfh : array of float or ‘~astropy.units.Quantity’,
Star-formation history parameter/exponent
- dust : array of floats,
Strength of dust extinction in Av
- metal_ind : float or float array,
Metallicity or metallicity range of stellar population relative to solar metallicity (Z/Z_sol), min and max allowed values set by range of input metallicities in ‘ssp’ class
- f_esc : float or array of float,
Escape fraction(s) of nebular emission component
- sfh_law : ‘~smpy.sfh’ or user defined function,
Star-formation history parametrisation for composite stellar population.
- dust_model : ‘~smpy.dust’ or user defined function,
Dust extinction or attenuation law parametrisation
- neb_cont : boolean, default = True
Include continuum emission component in nebular emission model
- neb_met : boolean, default = True
Include metal line component in nebular emission model
-
static
calc_lyman
(wave, seds)¶ Calculate total Lyman continuum photons for an SED
Semi-pythonic version of the fortran routine in BC03 code, allows flexible input array shapes provided wavelength axis is the last one.
Parameters: wave : array of floats,
Wavelength array
seds : :
-
Delaunay
¶
-
class
smpy.smpy.
Delaunay
(points, furthest_site=False, incremental=False, qhull_options=None)¶ Bases:
scipy.spatial.qhull._QhullUser
Delaunay tesselation in N dimensions.
New in version 0.9.
Parameters: points : ndarray of floats, shape (npoints, ndim)
Coordinates of points to triangulate
furthest_site : bool, optional
Whether to compute a furthest-site Delaunay triangulation. Default: False
New in version 0.12.0.
incremental : bool, optional
Allow adding new points incrementally. This takes up some additional resources.
qhull_options : str, optional
Additional options to pass to Qhull. See Qhull manual for details. Option “Qt” is always enabled. Default:”Qbb Qc Qz Qx” for ndim > 4 and “Qbb Qc Qz” otherwise. Incremental mode omits “Qz”.
New in version 0.12.0.
Raises: QhullError :
Raised when Qhull encounters an error condition, such as geometrical degeneracy when options to resolve are not enabled.
ValueError :
Raised if an incompatible array is given as input.
Notes
The tesselation is computed using the Qhull library Qhull library.
Note
Unless you pass in the Qhull option “QJ”, Qhull does not guarantee that each input point appears as a vertex in the Delaunay triangulation. Omitted points are listed in the coplanar attribute.
Do not call the
add_points
method from a__del__
destructor.Examples
Triangulation of a set of points:
>>> points = np.array([[0, 0], [0, 1.1], [1, 0], [1, 1]]) >>> from scipy.spatial import Delaunay >>> tri = Delaunay(points)
We can plot it:
>>> import matplotlib.pyplot as plt >>> plt.triplot(points[:,0], points[:,1], tri.simplices.copy()) >>> plt.plot(points[:,0], points[:,1], 'o') >>> plt.show()
Point indices and coordinates for the two triangles forming the triangulation:
>>> tri.simplices array([[3, 2, 0], [3, 1, 0]], dtype=int32) >>> points[tri.simplices] array([[[ 1. , 1. ], [ 1. , 0. ], [ 0. , 0. ]], [[ 1. , 1. ], [ 0. , 1.1], [ 0. , 0. ]]])
Triangle 0 is the only neighbor of triangle 1, and it’s opposite to vertex 1 of triangle 1:
>>> tri.neighbors[1] array([-1, 0, -1], dtype=int32) >>> points[tri.simplices[1,1]] array([ 0. , 1.1])
We can find out which triangle points are in:
>>> p = np.array([(0.1, 0.2), (1.5, 0.5)]) >>> tri.find_simplex(p) array([ 1, -1], dtype=int32)
We can also compute barycentric coordinates in triangle 1 for these points:
>>> b = tri.transform[1,:2].dot(p - tri.transform[1,2]) >>> np.c_[b, 1 - b.sum(axis=1)] array([[ 0.1 , 0.2 , 0.7 ], [ 1.27272727, 0.27272727, -0.54545455]])
The coordinates for the first point are all positive, meaning it is indeed inside the triangle.
Attributes
transform
Affine transform from x
to the barycentric coordinatesc
.vertex_to_simplex
Lookup array, from a vertex, to some simplex which it is a part of. convex_hull
Vertices of facets forming the convex hull of the point set. vertex_neighbor_vertices
Neighboring vertices of vertices. Methods
-
__init__
()¶
-
convex_hull
¶ Vertices of facets forming the convex hull of the point set.
Type: ndarray of int, shape (nfaces, ndim) The array contains the indices of the points belonging to the (N-1)-dimensional facets that form the convex hull of the triangulation.
Note
Computing convex hulls via the Delaunay triangulation is inefficient and subject to increased numerical instability. Use ConvexHull instead.
-
find_simplex
(self, xi, bruteforce=False, tol=None)¶ Find the simplices containing the given points.
Parameters: tri : DelaunayInfo
Delaunay triangulation
xi : ndarray of double, shape (..., ndim)
Points to locate
bruteforce : bool, optional
Whether to only perform a brute-force search
tol : float, optional
Tolerance allowed in the inside-triangle check. Default is
100*eps
.Returns: i : ndarray of int, same shape as xi
Indices of simplices containing each point. Points outside the triangulation get the value -1.
Notes
This uses an algorithm adapted from Qhull’s
qh_findbestfacet
, which makes use of the connection between a convex hull and a Delaunay triangulation. After finding the simplex closest to the point in N+1 dimensions, the algorithm falls back to directed search in N dimensions.
-
lift_points
(self, x)¶ Lift points to the Qhull paraboloid.
-
plane_distance
(self, xi)¶ Compute hyperplane distances to the point xi from all simplices.
-
transform
¶ Affine transform from
x
to the barycentric coordinatesc
.Type: ndarray of double, shape (nsimplex, ndim+1, ndim) This is defined by:
T c = x - r
At vertex
j
,c_j = 1
and the other coordinates zero.For simplex
i
,transform[i,:ndim,:ndim]
contains inverse of the matrixT
, andtransform[i,ndim,:]
contains the vectorr
.
-
vertex_neighbor_vertices
¶ Neighboring vertices of vertices.
Tuple of two ndarrays of int: (indices, indptr). The indices of neighboring vertices of vertex k are
indptr[indices[k]:indices[k+1]]
.
-
vertex_to_simplex
¶ Lookup array, from a vertex, to some simplex which it is a part of.
Type: ndarray of int, shape (npoints,)
-
FileFilter
¶
-
class
smpy.smpy.
FileFilter
(filepath, maxbins=500)¶ Bases:
smpy.smpy.Filter
Methods
__init__ : -
__init__
(filepath, maxbins=500)¶ Build filter class from ascii file
Parameters: filepath : str
Filename (including relative/absolute path) for filter file. Should be readable as ascii file and contain two columns, where column one is wavelength in angstroms and columns two is the filter response.
maxbins : int
Maximum number of wavelength bins for filter. Large (>1000) numbers of wavelength bins result in slower calculations for minimal gain in accuracy.
-
FilterSet
¶
-
class
smpy.smpy.
FilterSet
(path=None)¶ Class to build sets of filters for mock observations
Filter sets can be built from any combination of different types of filter.
Examples
>>> filters = FilterSet() >>> filters.addTophatFilter(centre=1500*u.AA, width=150*u.AA)
Or
>>> filters = FilterSet('data/Filter*.txt')
Attributes
Methods
__init__
([path])-
__init__
(path=None)¶
-
addEAZYFilter
(EAZYset, N)¶
-
addFileFilter
(path)¶
-
addTophatFilter
(centre, width, steps=200)¶
-
LoadEAZYFilters
¶
-
class
smpy.smpy.
LoadEAZYFilters
(path)¶ Bases:
object
Load EAZY filter file into easily accessible library
Attributes
path str, Path of EAZY filter file filters list filternames list Filter names as parsed from the EAZY filter set Methods
search
(searchterm[, error])-
__init__
(path)¶ Load in EAZY filters.res formatted files
Parameters: path : str
EAZY filter file to load
-
search
(searchterm, error=0.1)¶
-
Observe
¶
-
class
smpy.smpy.
Observe
(SED, Filters, redshift, force_age=True, madau=True, units=Unit("uJy"), verbose=False)¶ Bases:
object
Mock photometry class
Methods
calcflux
(SED, filt, z, dl, units)Convolve synthetic SEDs with a given filter -
__init__
(SED, Filters, redshift, force_age=True, madau=True, units=Unit("uJy"), verbose=False)¶ Parameters: SED : ‘~smpy.CSP’ object
Built
Filters : ‘~smpy.FilterSet’ object
Filter set through which to observe the set of models included in SED object
redshift : float of numpy.array
Redshift(s) at which models are to be observed
force_age : boolean
Require age of the stellar population to be younger than the age of the Universe at the desired redshift.
madau : boolean
Apply IGM absorption following Madau 1999 prescription
units : ‘~astropy.units.Quantity’
Desired output units, must be in spectral flux density equivalent
verbose : boolean
Add additional terminal outputs if true
Examples
>>> redshifts = np.linspace(0, 3, 10) >>> A = Observe(CSP, Filters, redshifts)
Attributes
fluxes Apparent fluxes of CSP models observed through ‘Filters’ at the desired redshifts AB Apparent AB magnitudes of CSP models observed through ‘Filters’ at the desired redshifts
-
calcflux
(SED, filt, z, dl, units)¶ Convolve synthetic SEDs with a given filter
Returns: Flux : ‘~astropy.units.Quantity’
Spectral flux density, with exact units as given by ‘units’
-
ObserveToFile
¶
-
class
smpy.smpy.
ObserveToFile
¶ Bases:
object
Mock photometry class
Methods
build
(SED, Filters, redshift, savepath[, v, ...])Parameters: calcflux
(SED, wf, tp, z, dl, units)Convolve synthetic SEDs with a given filter load
(loadpath)-
__init__
()¶
-
build
(SED, Filters, redshift, savepath, v=1, force_age=True, madau=True, units=Unit("uJy"), verbose=False, clobber=True)¶ Parameters: SED : ‘~smpy.CSP’ object
Built
Filters : ‘~smpy.FilterSet’ object
Filter set through which to observe the set of models included in SED object
redshift : :
savepath : str,
Filename for hdf5 save file
v : :
force_age : boolean
Require age of the stellar population to be younger than the age of the Universe at the desired redshift.
madau : boolean
Apply IGM absorption following Madau 1999 prescription
units : ‘~astropy.units.Quantity’
Desired output units, must be in spectral flux density equivalent
verbose : boolean
Add additional terminal outputs if true
-
calcflux
(SED, wf, tp, z, dl, units)¶ Convolve synthetic SEDs with a given filter
Returns: Flux : ‘~astropy.units.Quantity’
Spectral flux density, with exact units as given by ‘units’
-
load
(loadpath)¶
-
ProgressBar
¶
-
class
smpy.smpy.
ProgressBar
(total_or_items, ipython_widget=False, file=None)¶ Bases:
astropy.extern.six.Iterator
A class to display a progress bar in the terminal.
It is designed to be used either with the
with
statement:with ProgressBar(len(items)) as bar: for item in enumerate(items): bar.update()
or as a generator:
for item in ProgressBar(items): item.process()
Methods
-
__init__
(total_or_items, ipython_widget=False, file=None)¶ Parameters: total_or_items : int or sequence
If an int, the number of increments in the process being tracked. If a sequence, the items to iterate over.
ipython_widget : bool, optional
If True, the progress bar will display as an IPython notebook widget.
file : writable file-like object, optional
The file to write the progress bar to. Defaults to sys.stdout. If file is not a tty (as determined by calling its isatty member, if any, or special case hacks to detect the IPython console), the progress bar will be completely silent.
-
classmethod
map
(function, items, multiprocess=False, file=None)¶ Does a map operation while displaying a progress bar with percentage complete.
def work(i): print(i) ProgressBar.map(work, range(50))
Parameters: function : function
Function to call for each step
items : sequence
Sequence where each element is a tuple of arguments to pass to function.
multiprocess : bool, optional
If True, use the multiprocessing module to distribute each task to a different processor core.
file : writeable file-like object, optional
The file to write the progress bar to. Defaults to sys.stdout. If file is not a tty (as determined by calling its isatty member, if any), the scrollbar will be completely silent.
-
update
(value=None)¶ Update progress bar via the console or notebook accordingly.
-
TophatFilter
¶
-
class
smpy.smpy.
TophatFilter
(centre, width, steps=200)¶ Bases:
smpy.smpy.Filter
-
__init__
(centre, width, steps=200)¶ Build filter class for any arbitrary tophat function
Parameters: centre : int or float
Central wavelength for tophat function in Angstroms
width : int or float
Width of tophat function in Angstroms
steps : int or float
Number of wavelength steps to use. Should be a relatively fine grid as SED interpolated to wavelength grid of the filter during convolution.
-
griddata¶
-
smpy.smpy.
griddata
(points, values, xi, method='linear', fill_value=nan, rescale=False)¶ Interpolate unstructured D-dimensional data.
Parameters: points : ndarray of floats, shape (n, D)
Data point coordinates. Can either be an array of shape (n, D), or a tuple of ndim arrays.
values : ndarray of float or complex, shape (n,)
Data values.
xi : ndarray of float, shape (M, D)
Points at which to interpolate data.
method : {‘linear’, ‘nearest’, ‘cubic’}, optional
Method of interpolation. One of
nearest
return the value at the data point closest to the point of interpolation. See NearestNDInterpolator for more details.
linear
tesselate the input point set to n-dimensional simplices, and interpolate linearly on each simplex. See LinearNDInterpolator for more details.
cubic
(1-D)return the value determined from a cubic spline.
cubic
(2-D)return the value determined from a piecewise cubic, continuously differentiable (C1), and approximately curvature-minimizing polynomial surface. See CloughTocher2DInterpolator for more details.
fill_value : float, optional
Value used to fill in for requested points outside of the convex hull of the input points. If not provided, then the default is
nan
. This option has no effect for the ‘nearest’ method.rescale : bool, optional
Rescale points to unit cube before performing interpolation. This is useful if some of the input dimensions have incommensurable units and differ by many orders of magnitude.
New in version 0.14.0.
Notes
New in version 0.9.
Examples
Suppose we want to interpolate the 2-D function
>>> def func(x, y): ... return x*(1-x)*np.cos(4*np.pi*x) * np.sin(4*np.pi*y**2)**2
on a grid in [0, 1]x[0, 1]
>>> grid_x, grid_y = np.mgrid[0:1:100j, 0:1:200j]
but we only know its values at 1000 data points:
>>> points = np.random.rand(1000, 2) >>> values = func(points[:,0], points[:,1])
This can be done with griddata – below we try out all of the interpolation methods:
>>> from scipy.interpolate import griddata >>> grid_z0 = griddata(points, values, (grid_x, grid_y), method='nearest') >>> grid_z1 = griddata(points, values, (grid_x, grid_y), method='linear') >>> grid_z2 = griddata(points, values, (grid_x, grid_y), method='cubic')
One can see that the exact result is reproduced by all of the methods to some degree, but for this smooth function the piecewise cubic interpolant gives the best results:
>>> import matplotlib.pyplot as plt >>> plt.subplot(221) >>> plt.imshow(func(grid_x, grid_y).T, extent=(0,1,0,1), origin='lower') >>> plt.plot(points[:,0], points[:,1], 'k.', ms=1) >>> plt.title('Original') >>> plt.subplot(222) >>> plt.imshow(grid_z0.T, extent=(0,1,0,1), origin='lower') >>> plt.title('Nearest') >>> plt.subplot(223) >>> plt.imshow(grid_z1.T, extent=(0,1,0,1), origin='lower') >>> plt.title('Linear') >>> plt.subplot(224) >>> plt.imshow(grid_z2.T, extent=(0,1,0,1), origin='lower') >>> plt.title('Cubic') >>> plt.gcf().set_size_inches(6, 6) >>> plt.show()
tau_madau¶
-
smpy.smpy.
tau_madau
(wave, z)¶ Lyman limit system absorption following Madau 1995
This version is in part based on my previous python implementation and the simpler version shown here https://github.com/spacetelescope/pysynphot/issues/77
This version has been extended to include the additional higher order lines calculated in EAZY.
- Parameters:
- wave (array): Array with astropy.units of length z (float): redshift at which the source is being observed
- Returns:
- LyL_absorption (array): Throughput along the line of sight
- for wavelengths in wave from Lyman-alpha forest and Lyman-limit systems


{% extends "navbar/navbar.html" %} {% load crispy_forms_tags %} {% block title %}Forgot Your Password?{% endblock title %} {% block base_template %}
Enter your email address below, and we'll send instructions for setting a new one.


{% extends "layout.html" %} {% block title %}Creatives Directory{% endblock %} {% block main %}
Yellow Pages for Creatives in Pakistan--------


Class SimplePie_Misc
Package: SimplePie
Copyright: 2004-2009 Ryan Parman, Geoffrey Sneddon
License: BSD License
Author: Ryan Parman
Author: Geoffrey Sneddon
Located at app/vendors/simplepie/simplepie.php
Copyright: 2004-2009 Ryan Parman, Geoffrey Sneddon
License: BSD License
Author: Ryan Parman
Author: Geoffrey Sneddon
Located at app/vendors/simplepie/simplepie.php
public
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public
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public
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public
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public
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public
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public
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#
display_cached_file( str $identifier_url, str $cache_location = './cache', str $cache_extension = 'spc', str $cache_class = 'SimplePie_Cache', str $cache_name_function = 'md5' )
If a file has been cached, retrieve and display it. |
public
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public
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public
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#
compress_parse_url( mixed $scheme = '', mixed $authority = '', mixed $path = '', mixed $query = '', mixed $fragment = '' )
|
public
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public
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public
string
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public
string
|
#
windows_1252_to_utf8( string $string )
Converts a Windows-1252 encoded string to a UTF-8 encoded string |
public
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public
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public
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public
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public
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public
string
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public
boolean
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public
array
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public
array
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public
|


An Openfire plugin that provides high quality, scalable video conferences using Jitsi Meet and Jitsi Videobridge.
The Ignite Realtime community is pleased to present "Openfire Meetings", a plugin for Openfire. Openfire Meetings is a complete standalone plugin powered by Jitsi Videobridge, Jitsi Meet, Candy, Fastpath, TogetherJS and other components. It does not depend on any other plugins, although its functionality can be improved when combined with other plugins. Please refer to the configuration section below for details.
Openfire Meetings provides a web-based real-time communications application that enables the following features:
With the optional Openfire Meetings Chrome Extension, these additional features are available:
When a Remote Desktop Control Native Application is combined with the Openfire Meetings Chrome Extension, the following features are enabled:
Openfire FastPath is a solution built on top of Openfire that adds support for managed queued chat requests. Openfire Meetings includes support for FastPath. This allows all interaction between a website user an agent to occur in Openfire Meetings web clients, which will make available all Openfire Meetings functionality to both parties. Using Openfire Meetings, FastPath sessions are thus enhanced with audio, video, desktop sharing (application and screen), remote control and all other features of Openfire Meetings!
The Openfire Meetings plugin continues the development of the ofmeet web application which was part of the now deprecated Jitsi-videobridge plugin.
The place to discuss the Openfire Meetings plugin is in the community plugins section of the Ignite Realtime community.
PLEASE NOTE - You will need at least Openfire 4.0.1 to use this plugin.
Openfire Meetings is installed as any regular Openfire plugin: Log into the Openfire Admin Console, and navigate to the "plugins" tab. There, select the "Available Plugins" menu item, find the "Openfire Meetings" plugin in the list of available plugins, and press the install button.
Alternatively, download the ofmeet.jar
file and place the file in the Openfire plugins directory. Within
approximately one minute, the plugin will be deployed automatically.
Once deployed, various screens are added to the Openfire Admin Console where the configuration of Openfire Meetings can be adjusted when needed.
To enable screen sharing, remote desktop control, co-browsing and application sharing, your users will have to install the Openfire Meetings Chrome Extension in their browser.
When combined with the Openfire Meetings Chrome Extension, the Remote Desktop Control Native Application will enable remote desktop control functionality.
To install Remote Desktop Control Native Application, first download and extract the native application from
https://github.com/igniterealtime/community-plugins into any suitable folder. Run install_host.bat
(Windows) or
install_host.sh
(Linux / OS X) to install and register the native application with the Chrome extension.
Run uninstall_host.bat
or uninstall_host.sh
to unregister the native application when you are done with it.
To grant another user remote control of your desktop, share your desktop, select a participant and click on the remote control button. Alternatively, any viewer of your screen share can request for remote control access by clicking on the remote control button while viewing your screen.
When combined with the Openfire Bookmarks plugin, Openfire Meetings will allow users to provision PDF presentation URLs and meeting/conference bookmarks. Users can select presentations and conferences from a pull down list.
The Openfire Bookmarks plugin is a stand-alone plugin for Openfire, that can be downloaded from the Openfire Admin Console, or, alternatively, from the Openfire Plugins web page.
The Openfire Meetings Spark plugin provides a button from a MUC room or chat window within the Spark client, to open a Crome window to a Jitsi Meet-based web client. From a MUC room, the web client room is the same room name. From a chat, an unique, temporariy room will be created.
The Openfire Meetings Spark plugin is obtained from the Openfire Meetings plugin itself. After installation of Openfire
Meetings, the Spark plugin can be downloaded from https://your-server.com:7443/ofmeet/spark/ofmeet-plugin.jar
Openfire Meetings includes a Jitsi Meet-based web client. To make use of this client, point your browser to any of these addresses:
https://your-server.com:7443/ofmeet
- To select or create a room;https://your-server.com:7443/ofmeet/?r=xxxxx
- To join a specific room;https://your-server.com:7443/ofmeet/?r=xxxxx&novideo=true
- To join a specific room, audio only (no video);To use HTTP instead of HTTPS, replace port 7443 by 7070. Please note that for webRTC audio and video, HTTPS is mandatory.
Openfire Meetings includes a Candy-based web client. To make use of this client, point your browser to this address:
https://your-server.com:7443/ofmeet/candy.html
To use HTTP instead of HTTPS, replace port 7443 by 7070. Please note that for webRTC audio and video, HTTPS is mandatory.
Candy can also be accessed as a toolbar panel from the Openfire Meetings Chrome Extension, by clicking on the Openfire icon on the chrome web browser toolbar. You must enable Chrome panels otherwise a popup window will be opened instead. To enable chrome panels feature in Chrome, type in "chrome://flags/#enable-panels" in the url bar - click on "enable" under "enable panels" - Make sure to click on "relaunch now " at the bottom of the page , to take effect.
The Meeting/Conference planner feature enables you to schedule meetings/conferences in advance using a calendar.
When you add a meeting to the calendar, a request to join the meeting is automatically generated and sent to each participant using Openfire's email service 15 mins before the meeting starts. Included in the email is a link to join the meeting from a Chrome web browser.
In order to use this feature, you will need:
The Candy-based web client that ships with Openfire Meetings supports FastPath. When a FastPath Agent logs in and uses the client, FastPath functionality will be exposed, similar to the functionality provided by the Spark client that agents would use in a scenario where Openfire Meetings is not used.
Openfire Meetings ships with a FastPath javascript library that is intended to be integrated within the website that is offering FastPath services to end-users. Similar to the FastPath webchat solution, this library allows users to enter a managed queue.
After installation of Openfire Meetings, the FastPath javascript library can be accessed on https://your-server.com:7443/ofmeet/fastpath/
.
Openfire Meetings works with the monitoring plugin to enable easy playback of meeting recordings from the server using the monitoring archive search admin web web page or from a client using Jitsi Meet and Candy. For this feature to work, accept the default location for the recordings or ensure your recording folder is under the "./resources/spank" folder.
Openfire Meetings will inject two groupchat messages into every meeting with clickable weblinks to the audio and video recording files for each participant in a conference. These are then archived and retrieved normally by the monitoring plugin.


steal.type(type, cb( options, original, success, error )) -> undefined
{String}
A string that defines the new type being defined and the type being converted to, separated by a space, like "coffee js".
There can be more than two steps used in conversion, such as "ejs view js". This will define a method that converts .ejs files to .view files. There should be another converter for "view js" that makes this final conversion to JS.
{Function}
a callback function that converts the new file type to a basic type. This method needs to do two things: 1) save the text of the converted file in options.text and 2) call success() when the conversion is done (it can work asynchronously).
{undefined}
Registers a type. You define the type of the file, the basic type it converts to, and a conversion function where you convert the original file to JS or CSS. This is modeled after the AJAX converters in jQuery.
Types are designed to make it simple to switch between steal's development and production modes. In development mode, the types are converted in the browser to allow devs to see changes as they work. When the app is built, these converter functions are run by the build process, and the processed text is inserted into the production script, optimized for performance.
Here's an example converting files of type .foo to JavaScript. Foo is a fake language that saves global variables defined like. A .foo file might look like this:
To define this type, you'd call steal.type like this:
The method we provide is called with the text of .foo files in options.text. We parse the file, create JavaScript and put it in options.text. Couldn't be simpler.
Here's an example, converting coffeescript to JavaScript:
In this example, any time steal encounters a file with extension .coffee, it will call the given converter method. CoffeeScript.compile takes the text of the file, converts it from coffeescript to javascript, and saves the JavaScript text in options.text.
Similarly, languages on top of CSS, like LESS, can be converted to CSS:
This simple type system could be used to convert any file type to be used in your JavaScript app. For example, yml could be used for configuration. jQueryMX uses steal.type to support JS templates, such as EJS, TMPL, and others.


Usage: This is a live transcriber from our Latin phonetic alphabet to the elvish Tengwar alphabet. Type a message in the bottom text area and it will be displayed in the equivalent elvish letters in the area above. Copy the link in the address bar and send your message to friends and colleagues.
Compatibility: The transcriber may not work in some browsers because I used fancy early-draft features of some other web browsers. I might go through the motions to make it work in legacy browsers some day, but this would be an expensive and unsatisfying project.
However, there is a much older tengwar transcriber that should suffice in the interim.
Purpose: The transcriber is suitable for showing
how the Sindarin
language might have been written and attempts to be consistent with
The King’s Letter from J.R.R. Tolkien’s book,
Sauron Defeated,
commonly called the
“General Use”
mode. I used the same mode for my
I’ve posted some sample transcriptions of Sindarin.
Technical details: The font used is a derrivative of Johan Winge’s Tengwar Annatar italic and italic alternate characters. The italic font is designed to resemble the Ring Enscription from The Lord of the Rings, presumably in Sauron’s own cursive.
The font uses an “encoding” established by Dan Smith wherein letters on an English qwerty keyboard are arranged to correspond with the Tengwar grid transposed on its side. Because there are not enough characters accessible on an the keyboard to represent all of the glyphs and alternate glyphs of the Tengwar alphabet, Johan’s Annatar provides some glyphs in an alternate font.
Because of limitations in rendering text on the web and the peculiarities of elvish fonts, it was not possible to alternate between the normal and alternate fonts in this application. Instead, I’ve created a custom version of the font that incorporates the alternate glyphs I needed for this mode using code points that are not so accessible on the keyboard, particularly for doubled long-O and long-U diacritics, the paired curls forward and backward, and also some rotated U-hook tehtar that were less prone to overlap with the underlying tengwar.
The particular limitation is that diacritics in elvish have no width
and are drawn before the cursor. Some of the diacritics I use are in
the alternate font. To put an alternate diacritic over the previous
tengwa, consonant, glyph, you have to put it in a
<span>
tag with the alternate font face, but as a
result, the bounding box for the character has zero-width. I could not
find a way to render the text outside the bounding box of the tag.
This transcriber does not require the character encoding to use code points that are accessible on a qwerty keyboard, so it might be worthwhile to create a new font that seizes a neglected pane of Unicode and uses ligatures and kerning instead of zero-width diacritics. The difficulty is that every combination and cluster of diacritics would need to have a unique and customized code-point, anchoring diacritics precisely where they need to be or providing ligatures for difficult placements.
In the interim, I’ve engaged in the process of manually verifying the placement and use of diacritics for every combination of tengwa and tehta.
If you take a look under the hood, the transcriber is a CommonJS module and a jQuery plugin.
Further work might include:


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public abstract class ClientLibraryFactory
extends java.lang.Object
ClientLibraryFactory
class using the
com.ibm.team.repository.client.clientLibraryFactory
extension
point.
The createClientLibrary
method of the client library factory
will be called to get an instance that implements the component's primary
client library interface. It's called only once and the same client library
instance is available for the lifetime of a ITeamRepository
instance.
ITeamRepository.getClientLibrary(Class)
| Constructor and Description |
|---|
ClientLibraryFactory()
Creates an instance of this client library factory.
|
| Modifier and Type | Method and Description |
|---|---|
abstract java.lang.Object |
createClientLibrary(IClientLibraryContext context)
Creates an instance of the client library.
|
public ClientLibraryFactory()
public abstract java.lang.Object createClientLibrary(IClientLibraryContext context)
ITeamRepository
instance. The context
provides specialized access to the team repository services. The context
must not meant to be passed around to clients of the client library.context
- the client library context object with which the new client
library instance is to be associated.null


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Research Notes
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Kernel Methods and Pre-image problem
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19 Mar 2019
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