Devils’ mini win streak snapped in ugly loss to Bruins
by Associated PressThe Devils’ modest win streak is over.
David Pastrnak and Matt Grzelcyk scored two goals apiece, and Brad Marchand added three assists to lead the Boston Bruins over the New Jersey Devils 5-1 on Tuesday night at the Prudential Center in Newark.
Tuukka Rask made 25 saves and New Jersey native Connor Clifton added a goal as the Bruins beat the Devils for the eighth time in nine meetings.
Blake Coleman scored for New Jersey, which was looking for its first three-game winning streak since December 2018. Mackenzie Blackwood made 23 saves in starting for the 12th time in 14 games.
The win was only Boston’s second in the last seven games (2-2-3), and the Bruins got goals from the expected and unexpected.
Pastrnak has an NHL-high 19 goals in 21 games, including 17 in his last 16 contests. Grzelcyk had six career goals in his first 149 games in the NHL. The defenseman had his first two-goal game in No. 150.
Marchand set up the unlikely duo for goals 14 seconds apart in the first period for a 2-0 lead.
Coleman cut the margin in half late in the second, but the Bruins broke the game open in the third with three goals.
Pastrnak drew a penalty from P.K. Subban at 3:11 of the third period and scored eight seconds later with a rising shot from inside the blue line that whizzed past Blackwood.
Grzelcyk stripped the puck from Subban at the Devils line and skated in to beat Blackwood in close.
Clifton got his second of the season on a point shot.
Boston top line center Patrice Bergeron missed his second straight game with an undisclosed injury. David Krejci centered for Pastrnak and Marchand, and the line finished with seven points.
Devils goalie Cory Schneider cleared waivers and was assigned to Binghamton (AHL). … Bruins forwards Brett Ritchie and Jake DeBrusk returned to the lineup after they each missed five games with injuries. … Coleman played in his 200th game and extended his point streak to four games.


001 /* 002 * Licensed to the Apache Software Foundation (ASF) under one 003 * or more contributor license agreements. See the NOTICE file 004 * distributed with this work for additional information 005 * regarding copyright ownership. The ASF licenses this file 006 * to you under the Apache License, Version 2.0 (the "License"); 007 * you may not use this file except in compliance with the License. 008 * You may obtain a copy of the License at 009 * 010 * http://www.apache.org/licenses/LICENSE-2.0 011 * 012 * Unless required by applicable law or agreed to in writing, software 013 * distributed under the License is distributed on an "AS IS" BASIS, 014 * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. 015 * See the License for the specific language governing permissions and 016 * limitations under the License. 017 */ 018 /* 019 * $Id: CoroutineParser.java<PHONE_NUMBER>-10-28 07:07:05Z minchau $ 020 */ 021 022 package org.apache.xml.dtm.ref; 023 024 import org.xml.sax.ContentHandler; 025 import org.xml.sax.InputSource; 026 import org.xml.sax.XMLReader; 027 028 /**
CoroutineParser is an API for parser threads that operate as 029 * coroutines. See CoroutineSAXParser and CoroutineSAXParser_Xerces 030 * for examples.
 031 * 032 *
<grumble> I'd like the interface to require a specific form 033 * for either the base constructor or a static factory method. Java 034 * doesn't allow us to specify either, so I'll just document them 035 * here: 036 * 037 *
 038 *
public CoroutineParser(CoroutineManager co, int appCoroutine);
 039 *
public CoroutineParser createCoroutineParser(CoroutineManager co, int appCoroutine);
 040 *
 041 * 042 * </grumble>
 043 * 044 * @deprecated Since the ability to start a parse via the 045 * coroutine protocol was not being used and was complicating design. 046 * See {@link IncrementalSAXSource}. 047 * */ 048 public interface CoroutineParser { 049 050 /** @return the coroutine ID number for this CoroutineParser object. 051 * Note that this isn't useful unless you know which CoroutineManager 052 * you're talking to. Also note that the do...() methods encapsulate 053 * the common transactions with the CoroutineParser, so you shouldn't 054 * need this in most cases. 055 * */ 056 public int getParserCoroutineID(); 057 058 /** @return the CoroutineManager for this CoroutineParser object. 059 * If you're using the do...() methods, applications should only 060 * need to talk to the CoroutineManager once, to obtain the 061 * application's Coroutine ID. 062 * */ 063 public CoroutineManager getCoroutineManager(); 064 065 /** Register a SAX-style content handler for us to output to */ 066 public void setContentHandler(ContentHandler handler); 067 068 /** Register a SAX-style lexical handler for us to output to 069 * Not all parsers support this... 070 * 071 * %REVIEW% Not called setLexicalHandler because Xalan uses that name 072 * internally, which causes subclassing nuisances. 073 */ 074 public void setLexHandler(org.xml.sax.ext.LexicalHandler handler); 075 076 /* The run() method is required in CoroutineParsers that run as 077 * threads (of course)... but it isn't part of our API, and 078 * shouldn't be declared here. 079 * */ 080 081 //================================================================ 082 /** doParse() is a simple API which tells the coroutine parser 083 * to begin reading from a file. This is intended to be called from one 084 * of our partner coroutines, and serves both to encapsulate the 085 * communication protocol and to avoid having to explicitly use the 086 * CoroutineParser's coroutine ID number. 087 * 088 * %REVIEW% Can/should this unify with doMore? (if URI hasn't changed, 089 * parse more from same file, else end and restart parsing...? 090 * 091 * @param source The InputSource to parse from. 092 * @param appCoroutine The coroutine ID number of the coroutine invoking 093 * this method, so it can be resumed after the parser has responded to the 094 * request. 095 * @return Boolean.TRUE if the CoroutineParser believes more data may be available 096 * for further parsing. Boolean.FALSE if parsing ran to completion. 097 * Exception if the parser objected for some reason. 098 * */ 099 public Object doParse(InputSource source, int appCoroutine); 100 101 /** doMore() is a simple API which tells the coroutine parser 102 * that we need more nodes. This is intended to be called from one 103 * of our partner coroutines, and serves both to encapsulate the 104 * communication protocol and to avoid having to explicitly use the 105 * CoroutineParser's coroutine ID number. 106 * 107 * @param parsemore If true, tells the incremental parser to generate 108 * another chunk of output. If false, tells the parser that we're 109 * satisfied and it can terminate parsing of this document. 110 * @param appCoroutine The coroutine ID number of the coroutine invoking 111 * this method, so it can be resumed after the parser has responded to the 112 * request. 113 * @return Boolean.TRUE if the CoroutineParser believes more data may be available 114 * for further parsing. Boolean.FALSE if parsing ran to completion. 115 * Exception if the parser objected for some reason. 116 * */ 117 public Object doMore (boolean parsemore, int appCoroutine); 118 119 /** doTerminate() is a simple API which tells the coroutine 120 * parser to terminate itself. This is intended to be called from 121 * one of our partner coroutines, and serves both to encapsulate the 122 * communication protocol and to avoid having to explicitly use the 123 * CoroutineParser's coroutine ID number. 124 * 125 * Returns only after the CoroutineParser has acknowledged the request. 126 * 127 * @param appCoroutine The coroutine ID number of the coroutine invoking 128 * this method, so it can be resumed after the parser has responded to the 129 * request. 130 * */ 131 public void doTerminate(int appCoroutine); 132 133 /** 134 * Initialize the coroutine parser. Same parameters could be passed 135 * in a non-default constructor, or by using using context ClassLoader 136 * and newInstance and then calling init() 137 */ 138 public void init( CoroutineManager co, int appCoroutineID, XMLReader parser ); 139 140 } // class CoroutineParser


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Celebrate the Raspberry Pi’s 8th birthday at a Raspberry Jam
by Philip ColliganOn 29 February 2020, the Raspberry Pi Foundation will celebrate the eighth birthday of the Raspberry Pi computer (or its second birthday, depending on how strict you are about counting leap years).
Like any parent, we feel like time has flown by, and it’s remarkable to think how far we’ve come in such a short space of time.
Since launching the credit-card–sized $35 Raspberry Pi Model B, we have sold 30 million high-quality, low-cost computers worldwide. Raspberry Pi has become the third best-selling general-purpose computer ever, behind only the Mac and the PC.
Our latest model, Raspberry Pi 4 Model B, is still the size of a credit card and still costs $35, but it’s around 20 times faster, with more and speedier connectivity, as well as the neater board design that we introduced in 2014. Raspberry Pi computers are used everywhere from homes, schools, and factories to penguin colonies, volcanoes, and the International Space Station.
An amazing community
In many ways, what’s been even more remarkable than the success of the product is the amazing community that has formed around our tiny, low-cost computer. These are the makers, educators, hobbyists, and entrepreneurs from all walks of life and all corners of the globe who share our passion for inspiring the next generation of digital creators. You can often read about them on this blog and in the official community magazine, The MagPi. You can also meet them in person at a Raspberry Jam.
Celebrate at a Raspberry Jam
Raspberry Jams are community-led meetups that bring people together to share, connect, and learn from each other. The first one was held in Manchester in 2012, and so far Jams have been held in more than 70 countries — and that’s just the ones we know about.
While Jams take place throughout the year, there’s a special tradition of Jams celebrating the birthday of the Raspberry Pi computer. This year, there were over 130 Raspberry Jam events in 39 countries, attended by 8000 people. Now that’s a party!
Register your Birthday Jam and we’ll send you some special swag
Next year, because it’s a big birthday, we’ll be sending a special box of swag to any Jam that is taking place between Saturday 15 February and Sunday 15 March 2020.
It’s really simple to register your Birthday Jam: just fill in the Raspberry Jam submission form, including a valid event information URL linking to a webpage with more information about your event. (This is an excellent example of a Jam event listing.)
We’d prefer you to link to a public ticketing system (e.g. Eventbrite) if possible, but we know some libraries and community centres have restrictions that prevent them from doing this.
In order to ensure that your pack reaches you in time, we need you to register your Birthday Jam at least six weeks before your event.
As always, if you have any questions, please don’t hesitate to ask us via jam@raspberrypi.org.


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SOMEONE TO WATCH OVER ME A film by Ridley Scott A film review by Steve Upstill Copyright 1987 Steve Upstill
In Brief: Once again Ridley Scott takes a mediocre premise and by sheer force of technique *almost* makes you buy it. Several appealing characters trapped in a movie-of-the-week. But still, it's a Ridley Scott picture.
I've developed a theory about Ridley Scott: that mediocre material has an irresistible attraction for him. I'm not quite sure whether it's the challenge of transforming lead into gold, or just that dross keeps your attention on his work. But you consistently hear, in reference to his pictures (THE DUELLISTS, ALIEN, BLADE RUNNER, LEGEND, and now SOMEONE TO WATCH OVER ME), how the movie itself wasn't much, but IT LOOKED SOOOOO GOOD!
He does keep getting better, though. THE DUELLISTS was primarily eye candy, but ALIEN had such compelling texture that it (for some) triumphed over its hoary old bug-eyed-monster plot. BLADE RUNNER was his only unqualified success as far as I'm concerned, simply because its future world was so complete and also because, to a large extent, the creation of a compelling world *was* the movie. LEGEND again leaned on world-fabrication, but its other elements were so vestigial that it didn't quite make it in spite of the brilliance of the odd moment and the fact that it was the most complete, satisfying fantasy world I've ever seen in a film.
And now, SOMEONE TO WATCH OVER ME, his first "real-world" picture, containing his first romance. The story: cop from Queens bodyguards socialite from Manhattan and gets in over his head, romantically speaking. Canonical movie-of-the-week material, right? Indeed. But then there's the part that's hard to talk about. Somehow, Ridley Scott has gone beyond look, beyond mood, beyond texture, into some other realm entirely. The images in the first twenty minutes or so of this movie are so ravishing, so self-assured, so perfectly assembled, so *right*, that they almost justify the film on their own. Unlike the perfect compositions of, say, Stanley Kubrick, they draw you in. They have an electric life of their own, and they say to you, "Come here. Let me show you something you've seen a million times in a way you've never thought possible."
Not that everything else in the film is wrong.  Both his wife and his love interest (sorry, didn't catch the names) are distinct, full-blooded people. You just wish, and wish, and wish, they these interesting, sympathetic people would jump the track of this basic, predictable copshow and go do something interesting.
Ridley Scott is a state-of-the-art filmmaker. I just wish someone would force a state-of-the-art script on him. Let's start a movement to make him direct the film of PRESUMED INNOCENT. For this one, he only gets bbb out of bbbb.
Steve Upstill
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TIFF is screening classic Catherine O’Hara films this January
As Schitt's Creek enters its final season, four of the Canadian star's best-loved comedies will play at TIFF Bell Lightbox
by Norman WilnerTIFF Bell Lightbox has started teasing its winter programming, and while it seems like the usual mixture of high cinema (a retrospective of French master Robert Bresson) and ok-boomer calculation (Call Me Jimmy: The Films Of James Stewart), there’s also a salute to a Canadian screen icon who almost never gets the spotlight she deserves.
Catherine The Great: In Praise Of Catherine O’Hara will screen four of the Canadian actor's biggest crowd-pleasers: Christopher Guest’s improvised mockumentaries A Mighty Wind, Best In Show and Waiting For Guffman, which pair her with her former SCTV and future Schitt’s Creek co-star Eugene Levy, and Tim Burton’s supernatural comedy Beetlejuice, where she played the alleged visionary artist Delia Deetz.
(We assume After Hours isn’t included because it’s already screening three times in December in TIFF’s Martin Scorsese retrospective.)
The series runs from January 15 to 24, just after the sixth and final season of Schitt’s Creek begins airing on CBC on January 7. It’s anyone’s guess whether O’Hara will brave the weather to attend, but there must be a couple of stylish winter coats in Moira Rose’s closet.
TIFF rolls out its full winter schedule December 4 at tiff.net.


closed
by Jane Sandberg at 2022-06-16 13:11:25.Let me poke around a bit more and understand the "bottom" value better to make sure it doesn't break anything else--my thinking is now that we've discovered this it'd be better to use it over "after" which is not as widely supported.
Oh! It seems like it's not the value Apache FOP is unhappy with, but the property vertical-align itself? It wants display-align instead. Yeah, in that case, we can probably go back to the way it was given how this will be used.
referenced
by Jane Sandberg at 2022-06-16 13:11:24.merged
by Jane Sandberg at 2022-06-16 13:11:24.closed
by Jane Sandberg at 2022-06-16 13:11:25.head_ref_deleted
by Jane Sandberg at 2022-06-16 13:11:26.For now, we've reverted the relevant code, and we're working on reproducing locally so we can re-apply the code with any necessary fixes.
I think we can merge this one.
ready_for_review
by Kevin Reiss at 2022-06-16 22:47:32.referenced
by Kevin Reiss at 2022-06-16 22:47:40.merged
by Kevin Reiss at 2022-06-16 22:47:40.closed
by Kevin Reiss at 2022-06-16 22:47:40.head_ref_deleted
by Kevin Reiss at 2022-06-16 22:47:41.referenced
by Kevin Reiss at 2022-06-16 22:47:57.merged
by Kevin Reiss at 2022-06-16 22:47:57.closed
by Kevin Reiss at 2022-06-16 22:47:57.head_ref_deleted
by Kevin Reiss at 2022-06-16 22:47:58.closed
by Bess Sadler at 2022-06-16 20:38:56.referenced
by Trey Pendragon at 2022-06-15 22:46:44.merged
by Trey Pendragon at 2022-06-15 22:46:44.closed
by Trey Pendragon at 2022-06-15 22:46:44.head_ref_deleted
by Trey Pendragon at 2022-06-15 22:46:45.closed
by None at 2022-06-16 14:28:14.closed
by Trey Pendragon at 2022-06-16 16:12:39.closed
by Eliot Jordan at 2022-06-16 16:27:53.closed
by Eliot Jordan at 2022-06-16 16:28:08.Bootstrap-select has been upgraded and our old overrides in app/assets/javascripts/bootstrap_select_dropdown.js
are no longer working.
I'm having a hard time fixing it - hiding the <li>
s results in the select dropdown resizing wrong.
Things I've tried:
Rewrote the JS to get the optgroup
from the class rather than a data attribute, and trigger off that. (resulted in big empty spaces post-collapse)
Tried https://github.com/snapappointments/bootstrap-select/pull/2700 to fix the empty area - still happened.
Gave up.
renamed
by Trey Pendragon at 2022-06-16 15:43:58.unassigned
by Trey Pendragon at 2022-06-16 16:11:55.Cannot replicate. Ephemera folder creation works; folder was created and I was redirected to its show page upon submitting the form.
assigned
by None at 2022-06-16 17:00:54.closed
by None at 2022-06-16 17:08:20.closed
by Trey Pendragon at 2022-06-16 17:08:52.closed
by Trey Pendragon at 2022-06-16 17:08:56.closed
by Trey Pendragon at 2022-06-16 17:09:05.closed
by Trey Pendragon at 2022-06-16 17:09:24.closed
by Trey Pendragon at 2022-06-16 17:09:18.renamed
by None at 2022-06-16 17:09:28.Closing in favor of new more detailed issues.
closed
by None at 2022-06-16 17:12:04.assigned
by None at 2022-06-16 17:13:48.unassigned
by None at 2022-06-16 17:14:04.labeled
by None at 2022-06-16 17:14:32.This works locally on latest branch. do cp -r spec/fixtures/av/la_c0652_2017_05_bag staged_files/.
and use sourcemetadataidentifier C0652
assigned
by None at 2022-06-16 17:16:00.closed
by None at 2022-06-16 17:22:04.closed
by Trey Pendragon at 2022-06-16 17:22:47.closing as duplicate of #4247
closed
by None at 2022-06-16 17:44:40.Updates are displaying in viewer for me. Maybe the test was done on an item with only one file? It doesn't seem like there's a table of contents area if there's only one file, even if there is structure.
assigned
by None at 2022-06-16 17:47:18.referenced
by None at 2022-06-16 18:53:51.labeled
by Eliot Jordan at 2022-06-16 16:16:27.head_ref_force_pushed
by Eliot Jordan at 2022-06-16 16:55:45.head_ref_force_pushed
by Eliot Jordan at 2022-06-16 17:15:55.head_ref_force_pushed
by Eliot Jordan at 2022-06-16 17:42:08.referenced
by Eliot Jordan at 2022-06-16 18:04:50.merged
by Eliot Jordan at 2022-06-16 18:04:50.closed
by Eliot Jordan at 2022-06-16 18:04:50.head_ref_deleted
by Eliot Jordan at 2022-06-16 18:04:51.closed
by Eliot Jordan at 2022-06-16 18:04:58.referenced
by Trey Pendragon at 2022-06-16 19:17:59.merged
by Trey Pendragon at 2022-06-16 19:17:59.closed
by Trey Pendragon at 2022-06-16 19:17:59.head_ref_deleted
by Trey Pendragon at 2022-06-16 19:18:00.assigned
by Eliot Jordan at 2022-06-16 21:23:34.referenced
by Eliot Jordan at 2022-06-16 21:52:22.merged
by Eliot Jordan at 2022-06-16 21:52:22.closed
by Eliot Jordan at 2022-06-16 21:52:22.head_ref_deleted
by Eliot Jordan at 2022-06-16 21:52:23.assigned
by Eliot Jordan at 2022-06-16 18:51:54.closed
by Eliot Jordan at 2022-06-16 21:52:31.labeled
by Eliot Jordan at 2022-06-16 21:54:37.Uploaded. https://figgy.princeton.edu/catalog/f703e416-7902-4bfb-916c-a2ddd66a3123
I had to ingest this from the command line via using the disk_via_copy
StorageAdapter, adding this as an IngestableFile, and persisting/waiting for the copy to finish.
I THINK a bulk ingest would have worked here if the folder structure was set up right, but it wasn't. In the future we'll have to think about ways to pass the files to be added as a background job - copying files of this size takes too long.
closed
by Trey Pendragon at 2022-06-16 21:55:33.renamed
by Eliot Jordan at 2022-06-16 22:18:11.deployed
by None at 2022-06-16 18:48:56.ready_for_review
by Eliot Jordan at 2022-06-16 22:08:08.referenced
by Trey Pendragon at 2022-06-16 22:24:20.merged
by Trey Pendragon at 2022-06-16 22:24:20.closed
by Trey Pendragon at 2022-06-16 22:24:20.head_ref_deleted
by Trey Pendragon at 2022-06-16 22:24:20.labeled
by Eliot Jordan at 2022-06-16 16:36:46.assigned
by Eliot Jordan at 2022-06-16 16:39:48.closed
by Trey Pendragon at 2022-06-16 22:24:29.labeled
by Eliot Jordan at 2022-06-16 16:38:46.renamed
by Eliot Jordan at 2022-06-16 16:38:55.assigned
by Eliot Jordan at 2022-06-16 18:47:37.closed
by Trey Pendragon at 2022-06-16 22:24:31.head_ref_force_pushed
by Eliot Jordan at 2022-06-16 22:09:37.deployed
by None at 2022-06-16 22:10:48.deployed
by None at 2022-06-16 22:28:41.head_ref_force_pushed
by Eliot Jordan at 2022-06-16 22:36:23.deployed
by None at 2022-06-16 22:40:46.This is actually referring to the patron's expiration date.
review_requested
by Max Kadel at 2022-06-16 14:37:58.closed
by Kevin Reiss at 2022-06-16 20:55:14.@sandbergja could you squash the commits when you undraft this PR for merging. @mzelesky this will add a notified in any eligible users in the person come through with a null expiration date.
Commits squashed, and the environment variable is in place on staging and prod.
mentioned
by Jane Sandberg at 2022-06-16 01:37:19.subscribed
by Jane Sandberg at 2022-06-16 01:37:19.mentioned
by None at 2022-06-16 01:37:19.subscribed
by None at 2022-06-16 01:37:19.head_ref_force_pushed
by Jane Sandberg at 2022-06-16 16:52:31.ready_for_review
by Jane Sandberg at 2022-06-16 20:50:33.referenced
by Kevin Reiss at 2022-06-16 20:55:13.merged
by Kevin Reiss at 2022-06-16 20:55:14.closed
by Kevin Reiss at 2022-06-16 20:55:14.head_ref_deleted
by Kevin Reiss at 2022-06-16 20:55:15.head_ref_force_pushed
by Kevin Reiss at 2022-06-16 20:56:35.ready_for_review
by Kevin Reiss at 2022-06-16 20:58:53.referenced
by Jane Sandberg at 2022-06-16 21:01:26.merged
by Jane Sandberg at 2022-06-16 21:01:27.closed
by Jane Sandberg at 2022-06-16 21:01:27.head_ref_deleted
by Jane Sandberg at 2022-06-16 21:01:27.labeled
by Jane Sandberg at 2022-06-16 21:12:08.mentioned
by None at 2022-06-16 21:12:08.subscribed
by None at 2022-06-16 21:12:09.I looked a bit at the alma response. It includes all barcodes on a patron's record, both active and inactive.
The structure looks like this in JSON
"value": "22101xxxxxxx37",
"id_type": {
"value": "BARCODE",
"desc": "Barcode"
},
"note": "02 Sep 2015",
"status": "INACTIVE",
"segment_type": "Internal"
},
{
"value": "22101xxxxxxx47",
"id_type": {
"value": "BARCODE",
"desc": "Barcode"
},
"note": "01 Mar 2016",
"status": "ACTIVE",
"segment_type": "Internal"
},```
The "incorrect" inactive barcode we are seeing show up in the patron request in SCSB appears to be the first barcode that appears in the identifiers array in the Alma API user response, https://developers.exlibrisgroup.com/alma/apis/docs/users/R0VUIC9hbG1hd3MvdjEvdXNlcnMve3VzZXJfaWR9/. I cannot see that the bibdata patron route ever sends back the incorrect inactive barcode though so I'm still unclear how the request form is passing over the incorrect barcode.
mentioned
by Kevin Reiss at 2022-06-16 03:24:02.subscribed
by Kevin Reiss at 2022-06-16 03:24:02.labeled
by Kevin Reiss at 2022-06-16 17:32:07.referenced
by Bess Sadler at 2022-06-16 14:40:23.merged
by Bess Sadler at 2022-06-16 14:40:23.closed
by Bess Sadler at 2022-06-16 14:40:24.head_ref_deleted
by Bess Sadler at 2022-06-16 14:40:24.closed
by Bess Sadler at 2022-06-16 20:39:05.Thanks @kayiwa !
mentioned
by Francis Kayiwa at 2022-06-16 20:29:02.subscribed
by Francis Kayiwa at 2022-06-16 20:29:02.referenced
by Jane Sandberg at 2022-06-16 20:29:06.merged
by Jane Sandberg at 2022-06-16 20:29:06.closed
by Jane Sandberg at 2022-06-16 20:29:06.head_ref_deleted
by Jane Sandberg at 2022-06-16 20:29:07.closed
by Kevin Reiss at 2022-06-16 20:49:34.ready_for_review
by Jane Sandberg at 2022-06-16 19:28:59.referenced
by Kevin Reiss at 2022-06-16 20:49:33.merged
by Kevin Reiss at 2022-06-16 20:49:34.closed
by Kevin Reiss at 2022-06-16 20:49:34.head_ref_deleted
by Kevin Reiss at 2022-06-16 20:49:35.also, @tpendragon, members of IRMWG and IDWG wonder what a time frame for this could be--do you have any idea if it can fit along with other issues into the next work cycle, for instance? thanks
@phoebeno Do you mean the next Pulfalight work cycle? If so, I'd be a big supporter of this happening then.
@tpendragon Yep, that is what I meant.
labeled
by None at 2022-06-16 19:12:04.mentioned
by Trey Pendragon at 2022-06-16 19:14:29.subscribed
by Trey Pendragon at 2022-06-16 19:14:29.mentioned
by None at 2022-06-16 19:16:58.subscribed
by None at 2022-06-16 19:16:58.mentioned
by Trey Pendragon at 2022-06-16 19:55:56.subscribed
by Trey Pendragon at 2022-06-16 19:55:56.labeled
by Kevin Reiss at 2022-06-16 20:20:59.labeled
by Kevin Reiss at 2022-06-16 20:20:35.


A couple of veteran Arkane developers have launched a new studio
by Jennifer LockeSource: WolfEye Studios
What you need to know
- Two veteran Arkane developers have announced the formation of a new studio, WolfEye.
- WolfEye's first game will be revealed during The Game Awards 2019.
- The small studio with employees working remotely around the world hopes to make big games with the right focus.
Former Arkane developers Raphael Colantonio and Julien Roby have announced WolfEye Studios (via GamesIndustry.biz), a new development studio with a team of employees around the world. Its first game is set to be revealed during The Game Awards 2019 on December 12th.
The studio isn't saying too much about the new game just yet, but Roby mentioned in an interview that the team likes games that "respond to player actions, where the world reacts to what you are doing, and the experience is owned by the player." Both developers lamented the industry's fixation on graphical power and how it can detract from the actual gameplay experience. Despite this, Colantonio and Roby still want players to know that WolfEye will put effort into its game's graphics, it's just that they want to focus on good art direction instead of hyper-realism, which is a point emphasized on the studio's website.
The WolfEye team is comprised of under 20 employees who work remotely across the globe. This flexibility is meant to be one of its greatest assets.
"Our goal is not to grow the company too big, because we like the fact that when we talk about something on Monday, on Wednesday you already have the thing in the game because it's easy to broadcast information to the team," Roby said. "Everybody feels involved in the project. When you have a team of 200 people, it often ends up with people being at the very end of the information chain and they don't understand why they are doing what they're doing and they don't feel they have any impact on the project."
Immersive sim
Dishonored 2
The world of Karnaca awaits
Dishonored 2 is one of the best immersive sims out there, and it's fairly cheap on Amazon right now if you haven't played it yet. Though WolfEye says you shouldn't expect a carbon copy of Dishonored as its next game, the studio does want to focus on immersive simulations with bold art directions.
We may earn a commission for purchases using our links. Learn more.


This is to test the "appendix" property.
This is to test the "colophon" property.
This is to test the "index" property.
This is to test the "index-headnotes" property. The following section will test the "index-legend" property.
This is to test the "index-group" property.
This is to test the "index-entry-list" property.


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York
Botanical
Garden
SMITHSONIAN
INSTITUTION
From
THE
UNITED
STATES
NATIONAL
HERBARIUM
\
PLANTS
OF
THE
DOMINICAN
REPUBLIC
Vicinity
of
S&ncHez,
Samanft
Peninsula;
sea
level
to
300
meters
altltuae
W.
L.
ABBOTT,
Collector
TfcM.
J/7
^
lblbE3b
1616236
Legend -
Level of confidence that token is an accurately-transcribed word
extremely low
very low
low
undetermined
medium
high
very high


Grid-UI
Repository
About
A simple UI using CSS grids.
Examples
Here are some examples of types of pages
Text article page
Card page
Forms


I alert your user about important information.
I can be used to put in useful information. I make users aware that further action is necessary. But close me when your done!


The grammar.bnf
provides a demonstration of nested recursion. It is a grammar for matching nested brackets with text. The nesting allows for multiple nested brackets within any bracket pair.
In this example, the brackets have been chosen as angle brackets, <>
, but any bracket pair could have been used. The only requirement is that the pattern (bracket) for the rule L
can’t match the pattern for the rule R
.
The file bracket-text.txt
is the input. It has a somewhat arbitrary selection of nested brackets with text between the brackets.


Various reasons are offered as to why the market reacts as it does on a daily basis.
One day it’s a trade truce that gets bullish hearts racing. The next day the Dow falls 800 points.
But none of the sponsored commentators touch on the real reason…the US market is not just overvalued, it is in over-overvalued territory. Therefore, it must fall…and fall hard.
The US bull market of 2009–2018 is over. Now it is time for the bear to go to work.

It’s shaping up to be almost as severe as what bitcoin believers have suffered so far — a loss of up to 80% in value.


This is a page where we will tell you about what’s new coming in the next update Stay tuned uptil then
1: 2: 2.1:
3: 4: 5: 6: 7. 8: 9: 10: 11: 12: 13. 14. 15. 16. 17. 18. 19. 20.
![Alt text](https://raw.githubusercontent.com/akarsh-enciphers/gamma/master/images/lab.png =100x)
![Alt text](https://raw.githubusercontent.com/akarsh-enciphers/gamma/master/images/lab.png =50x50)
asd
ads
adp
xds
zds
hds
vds
ds


Notice
Schemas
manifest.json
Summary
A TDF's manifest holds all the information a client would need to decrypt the file. It describes the location of the payload, the method used to encrypt it, information to verify its authenticity, the KASes a client must make requests to in order to get an unrapped key, etc. It also contains the TDF's policy which describes who, or what should be given access to the content.
// Example
{
"payload": {
"type": "reference",
"url": "0.payload",
"protocol": "zip",
"isEncrypted": true
},
"encryptionInformation": {
"type": "split",
"keyAccess": [
{
"type": "wrapped",
"url": "http:\/\/kas.gsk.com:5000",
"protocol": "kas",
"wrappedKey": "OqnOETpwyGE3PVpUpwwWZoJTNW24UMhnXIif0mSnqLVCUPKAAhrjeue11uAXWpb9sD7ZDsmrc9ylmnSKP9vWel8ST68tv6PeVO+CPYUND7cqG2NhUHCLv5Ouys3Klurykvy8\/O3cCLDYl6RDISosxFKqnd7LYD7VnxsYqUns4AW5\/odXJrwIhNO3szZV0JgoBXs+U9bul4tSGNxmYuPOj0RE0HEX5yF5lWlt2vHNCqPlmSBV6+jePf7tOBBsqDq35GxCSHhFZhqCgA3MvnBLmKzVPArtJ1lqg3WUdnWV+o6BUzhDpOIyXzeKn4cK2mCxOXGMP2ck2C1a0sECyB82uw==",
"policyBinding": "BzmgoIxZzMmIF42qzbdD4Rw30GtdaRSQL2Xlfms1OPs=",
"encryptedMetadata": "ZoJTNW24UMhnXIif0mSnqLVCU="
}
],
"method": {
"algorithm": "aes-256-gcm",
"isStreamable": false,
"iv": "S5FtOSsesp3VfzfNHcHQpg=="
},
"integrityInformation":{
"rootSignature": {
"alg": "HS256",
"sig": "eyJib2...V19fQ=="
},
"segmentSizeDefault": "1048576",
"segmentHashAlg": "HS256",
"segments": [
{
"segmentSize": "1048576",
"hash": "eyJape...dq82UR9=="
}
]
},
"policy": "eyJib2R5IjogeyJkYXRhQXR0cmlidXRlcyI6IFt7InVybCI6ICJodHRwczovL2V4YW1wbGUuY29tL2F0dHIvQ2xhc3NpZmljYXRpb24uUyIsICJuYW1lIjogIlRvcCBTZWNyZXQifSwgeyJ1cmwiOiAiaHR0cHM6Ly9leGFtcGxlLmNvbS9hdHRyL0NPSS5QUlgiLCAibmFtZSI6ICJQcm9qZWN0IFgifV19fQ=="
}
}
// Full JSON-Schema
{
"$id": "https://virtru.com/schemas/tdf.json",
"$schema": "https://json-schema.org/draft-07/schema#",
"title": "TDF Manifest",
"description": "A manifest file containing data about the TDF.",
"type": "object",
"required": [
"payload",
"encryptionInformation"
],
"properties": {
"payload": {
"$ref": "#/definitions/payload"
},
"encryptionInformation": {
"$ref": "#/definitions/encryptionInformation"
}
},
"maxProperties": 2,
"definitions": {
"payload": {
"description": "Contains metadata for the TDF's paylaod",
"type": "object",
"properties": {
"type": {
"description": "Type of payload",
"type": "string",
"examples": [
"reference"
]
},
"url": {
"description": "URL pointing to the location of the payload.",
"type": "string"
},
"protocol": {
"description": "Protocol used for packaging the TDF.",
"type": "string",
"examples": [
"zip"
]
},
"isEncrypted": {
"description": "Boolean designating whether or not the payload is encrypted",
"type": "boolean"
}
}
},
"encryptionInformation": {
"description": "Top level element for holding information related to the encryption of an assertion or payload. Also contains information about how to derive a key. ",
"type": "object",
"properties": {
"type": {
"type": "string",
"description": "Information describing the encryption scheme.",
"enum": [
"split",
"shamir"
]
},
"keyAccess": {
"description": "Contains information describing the method of encryption. As well as information about one or more KASes which own the TDF.",
"type": "array",
"items":{
"$ref": "https://virtru.com/schemas/key-access-object.json"
}
},
"method": {
"description": "Object describing the encryption method",
"type": "object",
"properties": {
"isStreamable": {
"type": "boolean",
"description": "The type of method used for encryption. Chunked vs. a single chunk payload"
},
"algorithm": {
"description": "The encryption algorithm used to encrypt the payload",
"type": "string",
"examples": [
"aes-256-gcm"
]
},
"iv": {
"description": "Base64 intialization vector",
"type": "string"
}
},
"required": [
"algorithm",
"iv"
]
},
"integrityInformation": {
"type": "object",
"description": "An object which allows an application to validate the integrity of the payload. Or a chunk of a payload should it be a streamable TDF.",
"properties": {
"rootSignature": {
"type": "object",
"description": "Object containing a signature for the entire payload, and the algorithm used to generate it.",
"properties": {
"alg": {
"type": "string",
"description": "The algorithm used to generate the root signature",
"examples": [
"HS256"
]
},
"sig": {
"type": "string",
"description": "The signature for the entire payload. Base64.encode(HMAC(payload, payloadKey))"
}
}
},
"segmentSizeDefault": {
"type": "string",
"description": "The default size of each chunk, or segment in bytes. By setting the default size here, the segments array becomes more space efficient as it will not have to specify the segment size each time."
},
"segmentHashAlg": {
"type": "string",
"description": "The hasing algorithm used to generate the hashes for each segment."
},
"segments": {
"type": "array",
"description": "An array of objects containing each segment hash info.",
"items": {
"type": "object",
"description": "Object containing integrity information about a segment of the payload.",
"properties": {
"hash": {
"type": "string",
"description": "A hash generated using the specified 'segmentHashAlg'. hash = Base64.encode(HMAC(segment, payloadKey))"
},
"segmentSize": {
"type": "string",
"description": "The size of the segment. This field is optional. The size of the segment is inferred from 'segmentSizeDefault' defined above, but in the event that a segment were modified and re-encrypted, the segment size would change."
}
}
}
}
}
},
"policy": {
"description": "A base64 encoded version of the policy object. The policy object is defined here:: https://virtru.com/schemas/tdf-policy-object.json",
"type": "string"
}
}
}
}
}
payload
| Parameter | Type | Description |
|---|---|---|
| payload | Object | Contains metadata for the TDF's payload. Including type, url, protocol and isEncrypted. |
| payload.type | String | Type of payload. The type would describe where to get the payload. Is it contained within the TDF, for example, or stored on a remote server. |
| payload.url | String | A url pointing to the location of the payload |
| payload.protocol | String | Designates which protocol was used. Currently, only ZIP is supported. |
| payload.isEncrypted | Boolean | Designates whether or not the payload is encrypted |
encryptionInformation
| Parameter | Type | Description |
|---|---|---|
| encryptionInformation | Object | Contains information describing the method of encryption. As well as information about one or more KASes which own the TDF. |
| encryptionInformation.type | String | The type of scheme used for accessing keys, and providing authorization to the payload. The schema supports multiple options, but currently the only option supported by our libraries is split . |
| encryptionInformation.keyAccess | Array | An array of keyAccess Objects. Defined in the next section below. |
| encryptionInformation.method | Object | An object which describes the information required to actually decrypt the payload once the key is retrieved. Includes the algorithm, and iv at a minimum. |
| encryptionInformation.method.algorithm | String | The algorithm used for encryption. ie. aes-256-gcm |
| encryptionInformation.method.isStreamable | boolean | isStreamable designates whether or not a TDF payload is streamable. If it's streamable, the payload is broken into chunks, and indivdual hashes are generated per chunk to establish integrity of the individual chunks. |
| encryptionInformation.method.iv | String | The initialization vector for the encrypted payload. |
keyAccessObject
The keyAccessObject is defined in its own section below.
integrityInformation
| Parameter | Type | Description |
|---|---|---|
| integrityInformation | Object | An object which allows an application to validate the integrity of the payload. Or a chunk of a payload should it be a streamable TDF. |
| integrityInformation.rootSignature | Object | Object containing a signature for the entire payload, and the algorithm used to generate it. |
| integrityInformation.rootSignature.alg | String | The algorithm used to generate the root signature |
| integrityInformation.rootSignature.sig | String | The signature for the entire payload. Base64.encode(HMAC(payload, payloadKey)) |
| integrityInformation.segmentSizeDefault | String | The default size of each chunk, or segment in bytes. By setting the default size here, the segments array becomes more space efficient as it will not have to specify the segment size each time. |
| integrityInformation.segmentHashAlg | String | The hasing algorithm used to generate the hashes for each segment. |
| integrityInformation.segments | Array | An array of objects containing each segment hash info. |
| integrityInformation.segments item | Object | Object containing integrity information about a segment of the payload. |
| integrityInformation.segments segment.hash | String | A hash generated using the specified 'segmentHashAlg'. Base64.encode(HMAC(segment, payloadKey)) |
| integrityInformation.segments segment.segmentSize | String | The size of the segment. This field is optional. The size of the segment is inferred from 'segmentSizeDefault' defined above, but in the event that a segment were modified and re-encrypted, the segment size would change. |
policy
| Parameter | Type | Description |
|---|---|---|
| policy | String | The policy object which has been JSON stringified, then base64 encoded. The policy object is described in the next section. |
keyAccessObject
Summary
A summary of the key access object
{
"type": "wrapped",
"url": "http:\/\/kas.gsk.com:5000",
"protocol": "kas",
"wrappedKey": "OqnOETpwyGE3PVpUpwwWZoJTNW24UMhnXIif0mSnqLVCUPKAAhrjeue11uAXWpb9sD7ZDsmrc9ylmnSKP9vWel8ST68tv6PeVO+CPYUND7cqG2NhUHCLv5Ouys3Klurykvy8\/O3cCLDYl6RDISosxFKqnd7LYD7VnxsYqUns4AW5\/odXJrwIhNO3szZV0JgoBXs+U9bul4tSGNxmYuPOj0RE0HEX5yF5lWlt2vHNCqPlmSBV6+jePf7tOBBsqDq35GxCSHhFZhqCgA3MvnBLmKzVPArtJ1lqg3WUdnWV+o6BUzhDpOIyXzeKn4cK2mCxOXGMP2ck2C1a0sECyB82uw==",
"policyBinding": {
"alg": "HS256",
"hash": "BzmgoIxZzMmIF42qzbdD4Rw30GtdaRSQL2Xlfms1OPs="
},
"encryptedMetadata": "ZoJTNW24UMhnXIif0mSnqLVCU="
}
{
"$id": "https://virtru.com/schemas/key-access-object.json",
"$schema": "https://json-schema.org/draft-07/schema#",
"title": "Key access object",
"description": "KeyAccess object stores all information about how an object key OR key split is stored, and if / how it has been encrypted (eg with KEK or pub wrapping key)",
"type": "object",
"required": [
"type",
"url",
"protocol",
"wrappedKey",
"policyBinding",
"metadataKek",
"encryptedMetadata"
],
"properties": {
"type": {
"type": "string",
"description": "Specifies how the key is stored.",
"examples": [
"remote",
"remoteWrapped",
"wrapped"
]
},
"url": {
"type": "string",
"description": "URL pointing to the KAS",
"examples": [
"https:\/\/kas.gsk.com:5000"
]
},
"protocol": {
"type": "string",
"description": "Protocol being used for this split.",
"examples": [
"kas"
]
},
"wrappedKey": {
"type": "string",
"description": "The base64 wrapped key used to encrypt the payload"
},
"policyBinding": {
"type": "object",
"description": "Base64 Signature of the policy. Signed using the public key of the KAS.",
"properties": {
"alg": {
"description": "The algorithm used to generate the hash",
},
"hash": {
"description": "Base64 string of the generated hash"
}
}
},
"encryptedMetadata": {
"type": "string",
"description": "Metadata for the policy which has been encrypted, then base64 encoded",
"examples": [
"R5IjogeyJkY=="
]
}
}
}
| Parameter | Type | Description |
|---|---|---|
| keyAccessObject | Object | KeyAccess object stores all information about how an object key OR key split is stored, and if / how it has been encrypted (eg with KEK or pub wrapping key) |
| type | String | Specifies how the key is stored. Possible Values: remote : Stored and fetched like a KMS or ACM SAAS) remoteWrapped Like our CKS / ACM today wrapped Wrapped and embedded key. Default for TDF3. |
| url | String | A url pointing to the KAS |
| protocol | String | Protocol being used. Currently only KAS is supported |
| wrappedKey | String | The symetric key used to encrypt the payload. It has been encrypted using the public key of the KAS, then base64 encoded. |
| policyBinding | Object | Object describing the policyBinding. Contains a hash, and an alg. |
| policyBinding.alg | String | The policy binding algorithm used to generate the hash |
| policyBinding.hash | String | This contains a KEYED HASH that will provide cryptographic integrity on the policy object, such that it cannot be modified or copied to another TDF, without invalidating the binding. Specifically, you would have to have access to the key in order to overwrite the policy. This is Base64 encoding of HMAC(POLICY,KEY), where: POLICY: base64(policyjson) that is in the “encryptionInformation/policy” HMAC: HMAC SHA256 (default, but can be specified in the alg field described above) KEY: Whichever Key Split or Key that is available to the KAS (e.g. the underlying AES 256 key in the wrappedKey. |
| encryptedMetadata | String | Metadata associated with the TDF, and the request. The contents of the metadata are freeform, and are used to pass information from the client, and any plugins that may be in use by the KAS. For example, in Virtru's scenario, we could include information about things like, watermarking, expiration, and also data about the request. Things like clientString, could also be placed here. |
Policy Object
Summary
The policy object is an object generated by the client at the time of the payload's encryption. It contains information required for the KAS to make an access decision, such as, dataAttributes
, and dissem
. The policyObject is stored in the manifest.json for a TDF, and sent to the KAS along with an entity object so that the KAS may make an access decision.
By default, a KAS instance is stateless, but by using plugins may sync the policy data received from an access request using a datastore of its choice. It's up to the developer of a plugin to determine how that data is stored in their store, but it's recommended they choose something like outlined in the schema so as to simply the adapter logic in the plugin.
{
"$id": "https://virtru.com/schemas/policy.json",
"$schema": "https://json-schema.org/draft-07/schema#",
"title": "TDF Policy object",
"description": "Policy for the TDF. Includes attributes, and encrypted metadata for the KAS",
"type": "object",
"required":[
"uuid",
"body"
],
"properties": {
"uuid": {
"type": "string",
"description": "A UUID for the policy, generated by the client which created the TDF",
"examples": [
"630086f5-f238-4cd1-897c-0a7bd4da6f66"
]
},
"body": {
"type": "object",
"description": "TODDO: Fill this in",
"properties": {
"dataAttributes": {
"type": "array",
"description": "Attributes associated with the policy. Used by KAS to make access decisions",
"items": {
"type": "object",
"description": "An attribute object",
"properties": {
"url": {
"type": "string",
"description": "A url pointing to an attribute's policy",
"examples":[
"https:\/\/example.com\/attr\/Classification.TS"
]
},
"name": {
"type": "string",
"description": "The name of the attribute",
"examples":[
"Top Secret"
]
}
}
}
}
},
"required": [
"dataAttributes"
]
},
"dissem": {
"type": "array",
"description": "An array of userIds to be given access to the TDF content",
"items": {
"type": "string",
"description": "A userID, most likely an email",
"examples": [
<EMAIL_ADDRESS>]
}
}
}
}
{
"uuid": "1111-2222-33333-44444-abddef-timestamp",
"body": {
"dataAttributes": [
{
"url": "https:\/\/example.com\/attr\/Classification.S",
"name": "Top Secret"
},
{
"url": "https:\/\/example.com\/attr\/COI.PRX",
"name": "Project X"
}
],
"dissem": [
<EMAIL_ADDRESS>]
}
}
uuid
| Parameter | Type | Description |
|---|---|---|
| uuid | String | A unique UUID for the TDF's policy. |
body
| Parameter | Type | Description |
|---|---|---|
| body | Object | Object which contains information about the policy required for the KAS to make an access decision. |
| body.dataAttributes | Array | An array of dataAttributes. dataAttributes are defined in the next sub-section. |
| body.dissem | Array | An array of unique userIds. It's used to explicitly list users/entities that should be given access to the payload. |


Reports methods which must either recurse infinitely or throw an exception.
Methods reported by this inspection could not be finished correct.
Example:
// this function always dive deeper
def fibonacci(int n) {
return fibonacci(n-1) + fibonacci(n-2)
}


Our aim was to amplify the gene sequence of the protein that can cut on a single strand of DNA from the relevant host DNA (by PCR). We used this cloning vector called pET His6 GFP TEV LIC (1GFP) to achieve this. It helped us clone the insert into the green fluorescent protein encoding vector (carrier) plasmid DNA by lic (ligation independent cloning) method (Recombinant Plasmid/DNA). On the N-terminus, it has a TEV-cleavable His6 fusion tag. GFP improves the expression and solubility of the protein. Restriction enzymes are utilized during cloning. Its 5’ and 3’ cloning sites LIC tag are destroyed during cloning. While its 5′ sequencing primer is GFP forward (5'cagctcgccgaccacta), its 3’ sequencing primer is T7 Reverse.
Our New Part


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Up and running webassembly in browser
ASM to WebAssembly
-
Prerequisite
- Visual Studio 2015
- cmake
-
Clone binaryen(transcompiler for wasm)
mkdir wasmdemo
cd wasmdemo
git clone https://github.com/WebAssembly/binaryen.git
cd binaryen
-
Build code
wasmdemo\binaryen>cmake .
wasmdemo\binaryen>cmake --build . --config Release
-
Utilities gets generated after build in binaryen/bin
-
Create hello_world.asm.js file with content below
function MyMathModule(global) {
"use asm";
var exp = global.Math.exp;
function doubleExp(value) {
value = +value;
return +(+exp(+value) * 2.0);
}
return { doubleExp: doubleExp };
}
-
wasm-as.exe is a wasm assembler which converts intermediate AST to wasm binary
wasmdemo\binaryen\bin>wasm-as.exe hello_world.wast -o hello_world.wasm
Running WebAssembly in Browser
-
We need to access WebAssembly on the Web is through an explicit JS API. Refer https://github.com/WebAssembly/design/blob/master/JS.md for more information.
-
Create file index.html with content below :
<script>
fetch("hello_world.wasm")
.then(function(response) {
return response.arrayBuffer();
})
.then(function(buffer) {
var dependencies = {
"global": {},
"env": {}
};
dependencies["global.Math"] = window.Math;
var moduleBufferView = new Uint8Array(buffer);
var myMathModule = Wasm.instantiateModule(moduleBufferView, dependencies);
console.log(myMathModule.exports.doubleExp);
for(var i = 0; i < 5; i++) {
console.log(myMathModule.exports.doubleExp(i));
}
});
</script>
- Run code through local server and open file in Chrome Canary web browser.
Other browsers might give an error as binaryen version used to build wasm file and binaryen version inside browser is different.
TypeError: wasm validation error at offset 8: failed to match binary version
-
Output
-
References
http://cultureofdevelopment.com/blog/build-your-first-thing-with-web-assembly/ https://github.com/WebAssembly/design/blob/master/JS.md https://github.com/brakmic/brakmic/blob/master/webassembly/COMPILING_WIN32.md
Written on October 10, 2016


From the beginning, VidCol is created to share videos and creative work, along with intimate personal moments of their everyday life.It is a community of positive, encouraging individuals with a wide range of video interests. We hope that you feel inspired to show us both your creative side as well as your friendly side. We are providing an open source for the videos of various categories depending upon the interests.


MRT Fare Calculator
Select an MRT station to travel from:
Select an MRT station to travel to:
(assume fares are calculated as twenty cents per station)
|
In JavaScript:
var stations = ["Dhoby Ghaut",
"Bras Basah",
"Esplanade",
"Promenade",
"Nicoll Highway",
"Stadium",
"Mountbatten",
"Dakota",
"Paya Lebar",
"MacPherson",
"Tai Seng",
"Bartley",
"Serangoon",
"Lorong Chuan",
"Bishan",
"Marymount",
"Caldecott",
"Botanic Gardens",
"Farrer Road",
"Holland Village",
"Buona Vista",
"one-north",
"Kent Ridge",
"Haw Par Villa",
"Pasir Panjang",
"Labrador Park",
"Telok Blangah",
"HarbourFront"];
var cost = 0.20 * Math.abs(stations.indexOf("Dhoby Ghaut") - stations.indexOf("Bras Basah"));
console.log("MRT Fare Required: $" + cost);
>> MRT Fare Required: $0.20
|


This package contains the main entry points for the File Analyzer as well as the workflow components that are common to both the GUI and the Command line versions of the File Analyzer.
The contents of this package are intended to be of generic use to other institutions that might use the File Analyzer. The contents of this package should not require any libraries other than the standard Java SE 1.7 or higher.


In computer science, hash functions assign a code called a hash value to each of a set of individuals. It's important that each individual be assigned a unique value. If two individuals are assigned the same value, there is a collision, and this causes trouble in identification. Yet it is cumbersome to keep track of which hash values have and have not been assigned, as the numbers involved can be large.
What if the hash values were just assigned at random, without taking into account which of them have already been assigned? If there are a large number of distinct values and a relatively small number of individuals, then it seems reasonable to think that the chance of a collision will be small. For example, if there are 1,000 available hash values and only 5 individuals, it doesn't seem likely that you'll get a collision if you just pick a random sequence of 5 values for the 5 individuals.
Let's make some assumptions about randomness and find the probability that there is no collision. Assume that there are $N$ hash values and $n$ individuals, and suppose your hash function is such that all $N^n$ assignments of values to individuals are equally likely. An assignment is a sequence $a_0 a_1 \ldots a_n$ where for each $i$, individual $i$ is assigned the hash value $a_i$.
Notice that we are assuming that each of the $n$ individuals could be assigned any of the $N$ values regardless of what has been assigned to others. This includes the truly unfortunate possibility that all $n$ individuals are assigned the same value.
What is the chance that there are no collisions?
If the number of individuals $n$ is greater than the number of hash values $N$, the answer is 0. If you have more individuals than values, then you are going to have to re-use some values and therefore can't avoid collisions.
But we are interested in the case where $n$ is quite small, so we have no problem assuming that $n \le N$.
If you look back to Part (i) in the example about random number generators in the previous section, you will find that it is the same as our current question, in the case where $N = 10$ and $n=2$. We can just follow the same process to get our solution here.
By assumption, all $N^n$ possible assignments are equally likely. Some of these assignments contain no collisions. Our job is to count how many.
You are familiar with Python's 0-origin indexing system, which comes in handy here. We have to count the number of sequences $a_0a_1 \ldots a_{n-1}$ where each $a_i$ is one of the $N$ hash values and all the $a_i$'s are different from each other.
Let's do this:
"Continuing the sequence" is an informal process that needs a mathematical justification. We'll provide that by the method of induction in a later section. For now, it's fine for you to assume that it works.
There are $n$ terms in the product in the numerator, and there are $n$ factors of $N$ in the denominator. This allows us to write the formula in a different way, as a product of $n$ fractions:
$$ P(\mbox{no collisions}) ~=~ \frac{N}{N} \cdot \frac{N-1}{N} \cdot \frac{N-2}{N} \cdots \frac{N-n+1}{N} ~=~ \prod_{i=0}^{n-1} \frac{N-i}{N} $$The symbol $\prod$ stands for "product" just as $\sum$ stands for "sum".
And now the bad news:
Each sequence either has at least one collision, or it has no collisions. No sequence can be in both of those categories, so by the rules of proportion we have
$$ P(\mbox{at least one collision}) ~=~ 1 ~-~ \prod_{i=0}^{n-1} \frac{N-i}{N} $$We have a formula. That's great! But is the answer large or is it small? It's not easy to tell just by looking at the formula. So let's start examining the answer in different ways.
The first way is numerical. For this, we have to work with numerical values of $N$ and $n$. We'll do that in a context that has made this calculation famous.


Microsoft Cognitive Services is a suite of services and APIs backed by machine learning that enables developers to incorporate intelligent features such as facial recognition in photos and videos, sentiment analysis in text, and language understanding into their applications. Microsoft's Custom Vision Service is among the newest members of the Cognitive Services suite. Its purpose is to create image classification models that "learn" from labeled images you provide. Want to know if a photo contains a picture of a flower? Train the Custom Vision Service with a collection of flower images, and it can tell you whether the next image includes a flower — or even what type of flower it is.
The Custom Vision Service enables organizations to develop domain-specific image-classification models and use it to analyze image content. Examples include identifying a dog's breed from a picture of the dog, analyzing images for adult content, and identifying defective parts produced by manufacturing processes. It was recently used to help search-and-rescue drones identify objects such as boats and life vests in large bodies of water and recognize potential emergency situations in order to notify a rescue squad without waiting for human intervention.
The Custom Vision Service exposes two APIs: the Custom Vision Training API and the Custom Vision Prediction API. You can build, train, and test image-classification models using the Custom Vision Service portal, or you can build, train, and test them using the Custom Vision Training API. Once a model is trained, you can use the Custom Vision Prediction API to build apps that utilize it. Both are REST APIs that are easily called from a variety of programming languages.
In this lab, you will create a Custom Vision Service model, train it with images of famous paintings tagged with the artists' names, and utilize the model from a Node.js app to identify the artist of paintings that you upload. Along the way, you will learn how to train a Custom Vision Service model and leverage it from your apps using REST APIs.
In this hands-on lab, you will learn how to:
The following are required to complete this hands-on lab:
Click here to download a zip file containing the resources used in this lab. Copy the contents of the zip file into a folder on your hard disk.
This hands-on lab includes the following exercises:
Estimated time to complete this lab: 45 minutes.
The first step in building an image-classification model with the Custom Vision Service is to create a project. In this exercise, you will use the Custom Vision Service portal to create a Custom Vision Service project.
Open the Custom Vision Service portal in your browser. Then click Sign In.
Signing in to the Custom Vision Service portal
If you are asked to sign in, do so using the credentials for your Microsoft account. If you are asked to let this app access your info, click Yes, and if prompted, agree to the terms of service.
Click New Project to create a new project.
Creating a Custom Vision Service project
In the "New project" dialog, name the project "Artworks," ensure that General is selected as the domain, and click Create project.
A domain optimizes a model for specific types of images. For example, if your goal is to classify food images by the types of food they contain or the ethnicity of the dishes, then it might be helpful to select the Food domain. For scenarios that don't match any of the offered domains, or if you are unsure of which domain to choose, select the General domain.
Creating a Custom Vision Service project
The next step is to upload images to the project and assign tags to those images to classify them.
In this exercise, you will add images of famous paintings by Picasso, Pollock, and Rembrandt to the Artworks project, and tag the images so the Custom Vision Service can learn to differentiate one artist from another.
Click Add images to add images to the project.
Adding images to the Artworks project
Click Browse local files.
Browsing for local images
Browse to the "Artists\Picasso" folder in the resources that accompany this lab, select all of the files in the folder, and click Open.
Selecting an image
Type "painting" (without quotation marks) into the Add some tags... box. Then click + to assign the tag to the images.
Adding a "painting" tag to the images
Repeat Step 4 to add a "Picasso" tag to the images.
Click Upload 7 files to upload the images. Once the upload has completed, click Done.
Uploading tagged images
Confirm that the images you uploaded appear in the portal, along with the tags assigned to them.
The uploaded images
With seven Picasso images, the Custom Vision Service can do a decent job of identifying paintings by Picasso. But if you trained the model right now, it would only understand what a Picasso looks like, and it would not be able to identify paintings by other artists.
The next step is to upload some paintings by another artist. Click Add images and select all of the images in the "Artists\Rembrandt" folder in the lab resources. Tag them with the labels "painting" and "Rembrandt" (not "Picasso"), and upload them to the project.
When you add the tag "painting," you don't have to type it in again. You can select it from the drop-down list attached to the Add some tags... box, as shown below. You will have to type "Rembrandt" and click + to add a "Rembrandt" tag.
Selecting an existing tag
Confirm that the Rembrandt images appear alongside the Picasso images in the project, and that "Rembrandt" appears in the list of tags.
Picasso and Rembrandt images
Now add paintings by the enigmatic artist Jackson Pollock to enable the Custom Vision Service to recognize Pollock paintings, too. Select all of the images in the "Artists\Pollock" folder in the lab resources, tag them with the terms "painting" and "Pollock", and upload them to the project.
With the tagged images uploaded, the next step is to train the model with these images so it can distinguish between paintings by Picasso, Rembrandt, and Pollock, as well as determine whether a painting is a work by one of these famous artists.
In this exercise, you will train the model using the images uploaded and tagged in the previous exercise. Training can be accomplished with a simple button click in the portal, or by calling the TrainProject method in the Custom Vision Training API. Once trained, a model can be refined by uploading additional tagged images and retraining it.
Click the Train button at the top of the page to train the model. Each time you train the model, a new iteration is created. The Custom Vision Service maintains several iterations, allowing you to compare your progress over time.
Training the model
Wait for the training process to complete. (It should only take a few seconds.) Then review the training statistics presented to you for iteration 1. Precision and recall are separate but related measures of the model's accuracy. Suppose the model was presented with three Picassos and three Van Goghs, and that it correctly identified two of the Picassos as "Picasso" images, but incorrectly identified two of the Van Goghs as Picassos. In this case, the precision would be 50% (two of the four images it classified as Picassos are actually Picassos), while its recall would be 67% (it correctly identified two of the three Picasso images as Picassos). You can learn more about precision and recall from https://en.wikipedia.org/wiki/Precision_and_recall.
Results of training the model
Now let's test the model using the portal's Quick Test feature, which allows you to submit images to the model and see how it classifies them using the knowledge gained from the training images.
In Exercise 5, you will create a Node.js app that uses the model to identify the artist of paintings presented to it. But you don't have to write an app to test the model; you can do your testing in the portal, and you can further refine the model using the images that you test with. In this exercise, you will test the model's ability to identify the artist of a painting using test images provided for you.
Click Quick Test at the top of the page.
Testing the model
Click Browse local files, and then browse to the "Quick Tests" folder in the lab resources. Select PicassoTest_01.jpg, and click Open.
Selecting a Picasso test image
Examine the results of the test in the "Quick Test" dialog. What is the probability that the painting is a Picasso? What is the probability that it is a Rembrandt or Pollock?
Close the "Quick Test" dialog. Then click Predictions at the top of the page.
Viewing the tests that have been performed
Click the test image that you uploaded to show a detail of it. Then tag the image as a "Picasso" by selecting Picasso from the drop-down list and clicking Save and close.
By tagging test images this way, you can refine the model without uploading additional training images.
Tagging the test image
Perform another quick test using the file named FlowersTest.jpg in the "Quick Test" folder. Confirm that this image is assigned a low probability of being a Picasso, a Rembrandt, or a Pollock.
The model is trained and ready to go and appears to be adept at identifying paintings by certain artists. Now let's go a step further and incorporate the model's intelligence into an app.
The true power of the Microsoft Custom Vision Service is the ease with which developers can incorporate its intelligence into their own applications using the Custom Vision Prediction API. In this exercise, you will use Visual Studio Code to modify an app named Artwork to use the model you built and trained in previous exercises.
If Node.js isn't installed on your system, go to https://nodejs.org and install the latest LTS version for your operating system.
If you aren't sure whether Node.js is installed, open a Command Prompt or terminal window and type node -v. If you don't see a Node.js version number, then Node.js isn't installed. If a version of Node.js older than 6.0 is installed, it is highly recommend that you download and install the latest version.
If Visual Studio Code isn't installed on your workstation, go to http://code.visualstudio.com and install it now.
Start Visual Studio Code and select Open Folder... from the File menu. In the ensuing dialog, select the "Client\Artworks" folder included in the lab resources.
Selecting the Artworks folder
Use the View > Integrated Terminal command to open an integrated terminal window in Visual Studio Code. Then execute the following command in the integrated terminal to load the packages required by the app:
npm install
Return to the Artwork project in the Custom Vision Service portal, click Performance, and then click Make default to make sure the latest iteration of the model is the default iteration.
Specifying the default iteration
Before you can run the app and use it to call the Custom Vision Service, it must be modified to include endpoint and authorization information. To that end, click Prediction URL.
Viewing Prediction URL information
The ensuing dialog lists two URLs: one for uploading images via URL, and another for uploading local images. Copy the Prediction API URL for image files to the clipboard.
Copying the Prediction API URL
Return to Visual Studio Code and click predict.js to open it in the code editor.
Opening predict.js
Replace "PREDICTION_ENDPOINT" in line 3 with the URL on the clipboard.
Adding the Prediction API URL
Return to the Custom Vision Service portal and copy the Prediction API key to the clipboard.
Copying the Prediction API key
Return to Visual Studio Code and replace "PREDICTION_KEY" in line 4 of predict.js with the API key on the clipboard.
Adding the Prediction API key
Scroll down in predict.js and examine the block of code that begins on line 34. This is the code that calls out to the Custom Vision Service using AJAX. Using the Custom Vision Prediction API is as easy as making a simple, authenticated POST to a REST endpoint.
Making a call to the Prediction API
Return to the integrated terminal in Visual Studio Code and execute the following command to start the app:
npm start
Confirm that the Artworks app starts and displays a window like this one:
The Artworks app
Artworks is a cross-platform app written with Node.js and Electron. As such, it is equally capable of running on Windows, macOS, and Linux. In the next exercise, you will use it to classify images by the artists who painted them.
In this exercise, you will use the Artworks app to submit images to the Custom Vision Service for classification. The app uses the JSON information returned from calls to the Custom Vision Prediction API's PredictImage method to tell you whether an image represents a painting by Picasso, Rembrandt, Pollock, or none of the above. It also shows the probability that the classification assigned to the image is correct.
Click the Browse (...) button in the Artworks app.
Browsing for local images in the Artworks app
Browse to the "Quick Tests" folder in the lab resources. Select the file named PicassoTest_02.jpg, and then click Open.
Click the Predict button to submit the image to the Custom Vision Service.
Submitting the image to the Custom Vision Service
Confirm that the app identifies the painting as a Picasso.
Classifying an image as a Picasso
Repeat steps 1 through 3 for RembrandtTest_01.jpg and PollockTest_01.jpg and confirm that the app can identify paintings by Rembrandt and Pollock.
Classifying an image as a Rembrandt
Repeat steps 1 through 3 for VanGoghTest_01.png and VanGoghTest_02.png and confirm that the app does not identify these Van Gogh masterworks as paintings by Picasso, Rembrandt, or Pollock.
Not a Picasso, Rembrandt, or Pollock
As you can see, using the Prediction API from an app is just as reliable as through the Custom Vision Service portal — and way more fun! What's more, if you go to the Predictions page in the portal, you'll find that each of the images uploaded via the app is shown there as well.
Images submitted to the Custom Vision Service
Feel free to test with images of your own and gauge the model's adeptness at identifying artists or determining that an image is not a Picasso, Rembrandt, or Pollock. If you'd like to train it to recognize Van Goghs, too, simply upload some Van Gogh paintings, tag them with "Van Gogh," and retrain the model. There is no limit to the intelligence you can add if you're willing to do the training. And remember that in general, the more images you train with, the smarter the model will be.
Image classification is playing an increasingly large role in industry as a means for automating such tasks as checking images uploaded to Web sites for offensive content and inspecting parts rolling off of assembly lines for defects. Building an image-classification model manually — that is, coding it from the ground up in Python, R, or another language — requires no small amount of expertise, but the Custom Vision Service enables virtually anyone to build sophisticated image-classification models. And once a model is built and trained, an app that uses it is only few lines of code away.
Copyright 2017 Microsoft Corporation. All rights reserved. Except where otherwise noted, these materials are licensed under the terms of the MIT License. You may use them according to the license as is most appropriate for your project. The terms of this license can be found at https://opensource.org/licenses/MIT.


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Headings
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Tables
Forms


'Tifie Staff'
Day Length
Night Length
Trial Length
Hold Trial On Day 1
Any Random
Citizen
Godfather
Mafioso
Any Random
Citizen
Godfather
Mafioso
Blackmailer
Spy
Sheriff
Detective
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Citizen Settings
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1 Night
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4 Nights
Close Settings
Start Game


|
Marian
v1.6.0
A C++ GPU-specific Neural Machine Translation
|
#include <graph_group.h>
Public Member Functions | |
| GraphGroup (Ptr< Config > options) | |
| virtual void | update (Ptr< data::Batch > batch)=0 |
| virtual void | load ()=0 |
| virtual void | save (bool isFinal=false)=0 |
| virtual void | finalize ()=0 |
| virtual void | setScheduler (Ptr< Scheduler > scheduler)=0 |
| virtual Ptr< data::BatchStats > | collectStats (Ptr< ExpressionGraph > graph, Ptr< models::ModelBase > model, size_t multiplier=1) |
Protected Attributes | |
| Ptr< Config > | options_ |
| Ptr< OptimizerBase > | opt_ |
| Ptr< Scheduler > | scheduler_ |
| bool | finalized_ {false} |
| bool | scaleLearningRate_ |
| float | avgBatchWords_ |
Base class for managing the training process across one, multiple gpus, or even multiple machines with multiple gpus.
|
inlinevirtual |
Determine maximal batch size that can fit into the given workspace so that reallocation does not happen. Rather adjust the batch size based on the stastistics collected here. Activated with --mini-batch-fit
.


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{# Copyright (c) 2014 The Pycroft Authors. See the AUTHORS file. This file is part of the Pycroft project and licensed under the terms of the Apache License, Version 2.0. See the LICENSE file for details. #} {% extends "layout.html" %} {% import "macros/forms.html" as forms %} {% import "macros/logs.html" as logs %} {% block content %}
In diesem Zimmer wohnt niemand, oder derjenige bekommt von uns kein Netz.
{%- else %}


+ Addition: this will add numbers together. - Subtraction: this will subtract numbers. * Multiplication: this will multiply numbers together. / Division: this will divide one number from another. % Modulo: this will divide one number from another and return the remainder of the division.


|
| CallResponse | CreateCall (CallCommand command, Credentials creds=null) |
| | POST /v1/calls - create an outbound SIP or PSTN Call More...
|
| |
| PageResponse< CallList > | GetCalls (CallSearchFilter filter, Credentials creds=null) |
| | GET /v1/calls - retrieve information about all your Calls - Parameters
-
| filter | Filter to search calls on |
| creds | (Optional) Overridden credentials for only this request |
More...
|
| |
| CallRecord | GetCall (string id, Credentials creds=null) |
| | GET /v1/calls/{uuid} - retrieve information about a single Call More...
|
| |
| bool | UpdateCall (string id, CallEditCommand command, Credentials creds=null) |
| | PUT /v1/calls/{uuid} - modify an existing Call More...
|
| |
| CallCommandResponse | StartStream (string id, StreamCommand command, Credentials creds=null) |
| | PUT /v1/calls/{uuid}/stream - stream an audio file to an active Call More...
|
| |
| CallCommandResponse | StopStream (string id, Credentials creds=null) |
| | DELETE /v1/calls/{uuid}/stream - stop streaming an audio file to an active Call More...
|
| |
| CallCommandResponse | StartTalk (string id, TalkCommand cmd, Credentials creds=null) |
| | PUT /v1/calls/{uuid}/talk - send a synthesized speech message to an active Call More...
|
| |
| CallCommandResponse | StopTalk (string id, Credentials creds=null) |
| | DELETE /v1/calls/{uuid}/talk - stop sending a synthesized speech message to an active Call More...
|
| |
| CallCommandResponse | StartDtmf (string id, DtmfCommand cmd, Credentials creds=null) |
| | PUT /v1/calls/{uuid}/dtmf - send Dual-tone multi-frequency(DTMF) tones to an active Call More...
|
| |
| GetRecordingResponse | GetRecording (string recordingUrl, Credentials creds=null) |
| | GET - retrieves the recording from a call based off of the input url More...
|
| |
◆ CreateCall()
POST /v1/calls - create an outbound SIP or PSTN Call
- Parameters
-
| command | |
| creds | (Optional) Overridden credentials for only this request |
- Returns
- Exceptions
-
| NexmoHttpRequestException | thrown if an error is encountered when talking to the API |
Implemented in Nexmo.Api.Voice.VoiceClient.
◆ GetCall()
GET /v1/calls/{uuid} - retrieve information about a single Call
- Parameters
-
| id | id of call |
| creds | (Optional) Overridden credentials for only this request |
- Exceptions
-
| NexmoHttpRequestException | thrown if an error is encountered when talking to the API |
Implemented in Nexmo.Api.Voice.VoiceClient.
◆ GetCalls()
GET /v1/calls - retrieve information about all your Calls
- Parameters
-
| filter | Filter to search calls on |
| creds | (Optional) Overridden credentials for only this request |
- Exceptions
-
| NexmoHttpRequestException | thrown if an error is encountered when talking to the API |
Implemented in Nexmo.Api.Voice.VoiceClient.
◆ GetRecording()
GET - retrieves the recording from a call based off of the input url
- Parameters
-
| recordingUrl | Url where the recorded call lives |
| creds | Overridden credentials |
- Exceptions
-
| NexmoHttpRequestException | thrown if an error is encountered when talking to the API |
- Returns
- A response containing a byte array representing the file stream
Implemented in Nexmo.Api.Voice.VoiceClient.
◆ StartDtmf()
PUT /v1/calls/{uuid}/dtmf - send Dual-tone multi-frequency(DTMF) tones to an active Call
- Parameters
-
| id | id of call |
| cmd | Command to execute against call |
| creds | (Optional) Overridden credentials for only this request |
- Exceptions
-
| NexmoHttpRequestException | thrown if an error is encountered when talking to the API |
Implemented in Nexmo.Api.Voice.VoiceClient.
◆ StartStream()
PUT /v1/calls/{uuid}/stream - stream an audio file to an active Call
- Parameters
-
| id | id of call |
| cmd | Command to execute against call |
| creds | (Optional) Overridden credentials for only this request |
- Exceptions
-
| NexmoHttpRequestException | thrown if an error is encountered when talking to the API |
Implemented in Nexmo.Api.Voice.VoiceClient.
◆ StartTalk()
PUT /v1/calls/{uuid}/talk - send a synthesized speech message to an active Call
- Parameters
-
| id | id of call |
| cmd | Command to execute against call |
| creds | (Optional) Overridden credentials for only this request |
- Exceptions
-
| NexmoHttpRequestException | thrown if an error is encountered when talking to the API |
Implemented in Nexmo.Api.Voice.VoiceClient.
◆ StopStream()
DELETE /v1/calls/{uuid}/stream - stop streaming an audio file to an active Call
- Parameters
-
| id | id of call |
| creds | (Optional) Overridden credentials for only this request |
- Exceptions
-
| NexmoHttpRequestException | thrown if an error is encountered when talking to the API |
Implemented in Nexmo.Api.Voice.VoiceClient.
◆ StopTalk()
DELETE /v1/calls/{uuid}/talk - stop sending a synthesized speech message to an active Call
- Parameters
-
| id | id of call |
| creds | (Optional) Overridden credentials for only this request |
- Exceptions
-
| NexmoHttpRequestException | thrown if an error is encountered when talking to the API |
Implemented in Nexmo.Api.Voice.VoiceClient.
◆ UpdateCall()
PUT /v1/calls/{uuid} - modify an existing Call
- Parameters
-
| id | id of call |
| cmd | Command to execute against call |
| creds | (Optional) Overridden credentials for only this request |
- Exceptions
-
| NexmoHttpRequestException | thrown if an error is encountered when talking to the API |
Implemented in Nexmo.Api.Voice.VoiceClient.
The documentation for this interface was generated from the following file:
- C:/Users/slore/Documents/projects/slorello89/nexmo-dotnet/Nexmo.Api/Voice/IVoiceClient.cs


This is a simple webpage with a reponsive custom navbar, which is created using HTML, CSS and jQuery.


There are four environments that put LaTeX in math mode: math, displaymath, eqnarray, and equation. The math environment is for formulas that appear right in the text. The displaymath and equation environments are for formulas that appear on their own line; they differ only insofar as the latter prints an equation number. LaTeX will not break lines in displaymath or equation environments unless told to do so with a \\ command.
The displaymath environment can be entered by
\begin{displaymath} math equation \\ second line of math equation \end{displaymath}
Because displaymath may be used frequently to display relatively short equations, there are convenient alternative forms:
\[ displayed math equation \]
or (the following does not seem to be well documented, but appears to work)
$$ dispalyed math equation $$
Related topics
Back to the Table of Contents


The man was just 17 when he planned to ram a car into a group of people in Christchurch and then stab them – telling police later that he'd "done it for Allah".
His road to rehabilitation has been rocky. At times, the judge in charge of judicially-monitoring him has been told of positive progress, with NCEA credits and driving tests.
But now aged 20, he's already admitted three breaches of the court-imposed intensive supervision order this year, including two breaches which came after he used his mother's phone to view pornography.
In June it was revealed how he sparked a manhunt after he walked out of his supervised accommodation, saying he felt frightened.
And today, he was back in the dock at Christchurch District Court, accused of failing to comply with the conditions of an intensive supervision order imposed at Christchurch District Court on September 17.
He faces two charges of threatening behaviour and derogatory language towards staff at the place he has been staying.
When he appeared before Judge Tony Couch from custody, bail was opposed.
He was remanded back in custody to come up before Judge Stephen O'Driscoll, who has overseen his case throughout, next Wednesday.
At an earlier court appearance, the then teen promised never to return to extremism.
He said how the March 15 mosques terror attack had helped him reflect on his own earlier extremist thinking.
After 51 Muslims were massacred during Friday prayer, the teen said he felt "disgust", not just for those who died and at how much it has affected the nation, but also disgust at thinking of the harm he himself could've done to "innocent Kiwis" who are "his people".


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JS Accordion
Some notes on the development decisions:
- The task specifies implementing ES6, reason for which I've implemented ES6 methods instead of more standardized one, for example '[].includes()' instead of the old way '[].indexOf()', or '[].forEach()' instead of 'for of loop'.
- Since UI wasn't specified, and I was given a mock, I understood you expect me to deliver the same as the mock, I hope it's okay. I had to open the sketch file into a program to convert it, this is what I saw, not sure if some style was lost in the conversion, I hope not.
- Grunt tasks are configured, however I'm sure they can be optimized, it has been a couple of years since the last time I've implemented Grunt and Gulp.
- Inside 'index.js' file I've created a module to handle the component class and instantiation, and a module to contain animations. Usually when working in bigger project you separate those in different files but since this is quite small I consider it's better to keep them in the same file in order to be able to see them better together.
- Most of the animations are made with CSS transitions but since the idea was to handle JS I've handle some from there implementing requestAnimationFrame API to better sync animations into the browser's render cycle.
Usually I solve accordions just with CSS, implementing the label and a checkbox technique is enough. - If you run 'npm audit' you will see some warnings. I had those in other projects, they appear a couple of days ago, so far it seems there is not a version to get ride of those.
- DISCLAIMER: I've developed this project in a MacBook and I was able to test the accordion in Safari, Firefox and Chrome, but I do not have access to a windows machine with Edge and IE11 to debbug right now. If required please let me know.
I hope you like the solution for the task. Please let me know what you think. :)


Students test first deck of UNO in Braille
Popular chidren's game gets new version
by Jessica TaylorGOODING, Idaho - Middle schoolers at the Idaho School for the Deaf and the Blind are getting their hands on the first official braille UNO deck.
"Games don't usually have braille on them unless you put it on, so I think putting braille on things like card games and legos and stuff that's a really good thing to do," said seventh-grader Kathryn Reese. Some of played the game before, but with this deck, they didn't have to hand-braille it themselves.
"UNO is one of the best games of all time, and not being able to play, going through childhood or adulthood without playing UNO, it's just not possible, you can't do it; you've got to have UNO in your life," said Rees.
For others, today was the introduction to the game.
"This was my first time," said eighth-grader Durant Whipple, "it was pretty, it was awesome,"
The school has some games provided by the American Printing House for the Blind, but often, they take on the responsibility of adapting popular games.
"There are a lot of games teachers have to hand braille to make it accessible for the students," said teacher Mai Nguyen.
The students are hoping to see Mattel and other companies continue to create braille games.
"Yes, I would want to see War in braille," said Whipple, "and Poker."
The teachers say this is more than a deck of cards. This can be a springboard to more accessibility and mindfulness from those in sighted-world.
"Even though we as blind and visually impaired people, we might be limited in vision-wise, we would like to be included, we would like to be productive members of society, and we would like to participate fully," said Nguyen.
When it comes to games, being able to participate fully and play with friends around them is half the fun.
"Winning is cool, but it doesn't really matter who wins, because it's a fun game," said Rees.


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Assume for this question you have a jeroo named martha who does not have a flower
if (martha.hasFlower()) { martha.hop(); } martha.hop();
How many times will this jeroo hop?