THE FIVE SENSES A film review by Jeremiah Kipp Copyright 2001 filmcritic.com filmcritic.com
Not to be confused with that Bruce Willis ghost story, The Five Senses is more along the lines of Kieslowski Lite. The lives of five Canadians are connected by the sensations of touch, taste, smell, sound, and sight. They all reside in the same apartment complex, not unlike the lost souls wandering through The Decalogue. Each of the protagonists are faced with a glib moral crisis which must be resolved during the seemingly endless hour-and-forty-five-minute running time.
Ruth, a professional massage therapist (Gabrielle Rose, The Sweet Hereafter), uses the sensation of touch -- get it? -- to heal a wounded relationship with her daughter's former teacher (Molly Parker, who saw, smelled, tasted, and touched dead people in Kissed).
Sexy young socialite Rona (Mary-Louise Parker, Fried Green Tomatoes) is able to communicate with her hot Italian lover (Marco Leonardi), who can't speak a word of English, through the magic of delicious food and, of course, some really great sex.
On and on we go. There's the Crimes and Misdemeanors bit with the sensitive young eye doctor (Philippe Volter, The Double Life of Veronique) who is going deaf. Not blind. Deaf. Cue the orchestra. I can already hear fifty violins crying out to God. That covers both sight and sound, doesn't it?
 Ooo-la-la!
Throw in a subplot about a missing child, and you've got some serious drama.
Writer-director Jeremy Podeswa approaches his story with solemnity which errs on the side of pretentiousness. The heavy-handed themes are so broad and predictable that The Five Senses induces laughs in all the wrong places.
The clean, austere shots are more revelatory in showing how disconnected and empty these lives are, but that Canadian sense of detachment is familiar from Atom Egoyan's stronger portraits of loneliness. Exotica comes immediately to mind, but the difference between Podeswa and Egoyan is that The Five Senses isn't about character or even emotion, but about ideas. That's a mistake when you're crafting a movie about human interaction -- no amount of egghead theory will make you care a fig about whether or not the housecleaner will find true love.
Mary-Louise Parker brings a clever sensuality to her role, whether flirting with Leonardi or grousing about her lousy lot to MacIvor. She surpasses the Generation-X "Am I after love or just sex?" dialogue by making her character decidedly feral and bitchy. You wouldn't want to date this vixen past a one-night stand, but she makes for a lively character in an otherwise ponderous piece of art house snobbery.

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If this is not your site, make sure that you have seen everything before walking away.
For root URLs (like https://akirademenech.github.io/
) you must provide an
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DMM英会話受講メモ：2018年4月
DMM英会話の受講メモ．4月末は仕事がバタつき，なかなか時間を取れなかった．
20180402
- Japan’s Endangered Languages
- archipelago：a group of islands
- discount：to think or say that something is not important or true
- dialect：方言、国なまり、(特定の職業・階層の)通用語
- provincial：田舎者
- conform to：to think or behave in the same way as most people in a group or society
- フィリピンの停電でレッスン中断してしまった．
20180403
- NASA Wants to Send Your Name to the Sun
- revolutionize：to completely change something
- etch：to cut something into a hard surface
20180405
- Facebook Founder: We Made a Mistake in Trying to Protect User Data
- forensic: relating to the scientific methods used to investigate crime
- audit: an official examination of a company’s records
- take a hit: to experience damage or loss
20180406
- Canadian Brings Japanese Art of Comic Storytelling to the World
- show the ropes: to teach or show someone how to do a particular job
- deceptively: appearing to be different than it actually is
- sermon: a speech given during a religious service
- kneel: ひざまずく
- cushion: クッション
- props: 小道具
20180408
- Students Learn Real Skills in ‘Virtual’ Businesses
- apprenticeship: a period of time spent working somewhere, usually for low pay, in order to learn a particular skill or job
- prosper: to develop and become successful
20180409
- Scientists Stage Mars Mission in Israeli Desert
- arid: extremely dry; lacking rain
- confined: (of a space or area) very small
- cactus: サボテン
20180411
- Facebook’s Business Model Built on Absence of Privacy
- malicious: intending to cause harm or damage
- exploitation: the act of treating someone or something unfairly for financial gain
- profile: to produce a description or analysis of someone that includes important information about them
- viable: that can work successfully; possible or achievable
- 先生が授業をキャンセル．通信環境が悪いとのこと．とりあえず記事だけ読んでおいた．
20180412
- Independent Chefs Exchange Ideas
- eatery: a restaurant
20180415
- Argentinians Exchange Private Data for “Free” WiFi
- consent: permission to do something
- disseminate: to make something, such as information or news, available to many people
- セルビアのジョージ先生．話がはずんで面白かった．
20180416
- Helping the Planet, One Burger at a Time
- take a toll: to have a bad impact on somebody or something
- resource-intensive: needing a lot of resources, such as land, food, water, etc.
20180417
- Spielberg Goes into Future with ‘Ready Player One’ Film
- brainchild: a plan or idea that someone has developed
- escapist: (of an activity, form of entertainment, etc.) that provides distraction or relief from unpleasant or boring things
- run amok: to become out of control and usually violent
- envision: to imagine something that is a likely possibility in the future
20180418
- French Baker Fined For Working 7 Days a Week
- jaywalking: 横断歩道のないところを渡ること．
20180424
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Matt Stanley
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--- layout: post title: Proxying authentication using JBoss date: 2010-06-22 00:00:19.000000000 +02:00 type: post published: true status: publish categories: - Technology tags: - java - jboss - security - sql meta: _edit_last: '2' dsq_thread_id: '3778169147' _jetpack_related_posts_cache: a:0:{} author: login: admin email<EMAIL_ADDRESS>display_name: gerbrand first_name: Gerbrand last_name: van Dieijen ---
Wouldn't it be nice if the connection to the database is done using the same username as the username used to login to a (JEE) application? Oracle has a solution for that: proxy authentication. When using proxy authentication, every application user is also a database user: meaning when someone logins to your JEE webapplication using username john, he'll also access the database as user john. This way all actions of the user are logged at the database-level: an administrator or auditer can see exactly what data a certain user modified or accessed during a JEE session.
Also, this allows for fine-grained security at database level: Virtual Private Database.
[caption id="attachment_297" align="alignnone" width="456" caption="(c) Oracle"][/caption]
As described in the above image and referenced article, the user identified by userid 106 (let's say that's user john) will access the database using a private database connection. The user can only access rows that have that userid as primary or foreign key. John can't see the passwords, orders, credit card data or anything of other users even if he would somehow hack the webapplication. How to set up this finegrained securiy is beyond this article, but I hope the above example explains what the purpose VPD is.
If you develop your JEE software using Oracle software proxy authentication requires only a bit of configuration, for example, see the following article how to setup proxy authentication using JHeadstart.
However, what if you're JEE applicication consists of non-oracle software? Can you still use proxy authentication when you use software like JBoss, Hibernate, IBatis, MyFaces, Wicket etc? Yes you can! I'll explain below how to set up proxy authentication using JBoss in such a way you don't have to modify any of the code that uses JDBC, directly or indirectly.
package nl.gerbrandict.dbconnaudit; import java.sql.SQLException; import javax.resource.ResourceException; import javax.resource.spi.ConnectionManager; import org.apache.log4j.Logger; import org.apache.commons.lang.StringUtils; import org.jboss.resource.adapter.jdbc.local.LocalManagedConnectionFactory; /** * An extended connection factory, that uses the Oracle feature to change the username of an existing connection * * When a user authenticated on the application server, the database connection will switch to that username. * This allows for better auditing and potentially for improved security. * * Properties (get'ers and set'ters) can be set via the configuration section of the -ds file * @author gvdieijen */ public class DBConnAuditConnectionFactory extends LocalManagedConnectionFactory { private String defaultProxyUser; public DBConnAuditConnectionFactory() throws SQLException { super(); } @Override public Object createConnectionFactory(ConnectionManager cm) throws ResourceException { return new OracleWrapperDataSource(this, cm); } public void setEnableProxySession(Boolean enableProxySession) { this.enableDbConnAudit = enableProxySession; } public void setDefaultProxyUser(final String defaultProxyUser) { if (StringUtils.isEmpty(defaultProxyUser)) { this.defaultProxyUser=null; } else { this.defaultProxyUser = defaultProxyUser; } } /** * Default db user to open proxy session for, when no authenticated user is active * @return */ public String getDefaultProxyUser() { return this.defaultProxyUser; } }
As you can see, the file returns a OracleWrapperDatasource. That's custom class, that extends the default WrapperDatasource of JBoss, and changes the user of jdbc connection just before the connection is handed of to the application. To speak in terms of the fine book
<managedconnectionfactory-class>nl.gerbrandict.dbconnaudit.DBConnAuditConnectionFactory</managedconnectionfactory-class>
All in all, after some tweaking, all queries and updates to your Oracle database are done under the J2EE username. This means when user Joe logs in, all his database access will be logged under user Joe as well. This can improve auditing as well as security.


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A friend and I decided to try the magnificant Amanita Muscaria mushrooms, ordered from a company in Wisconsin, and our experience was worth repeating. We followed the recipe found online for fly Agaric tea, boiling the seven grams of dried mushroom caps for 15 min and adding tea and sugar to cover the taste. We followed the recipe and added some chamamile tea, and it actually didn't taste too bad! We dosed at about 5:30pm.
About an hour after ingesting, we both started to feel real relaxed and sedated. another 30 min. went by, and we both felt a little uncomfortable in the stomach, so we agreed to take some bong hits of some high grade cannabis. This was a great idea! Not only did the nausea go away, but the experience became more intense and enjoyable. We both agreed we felt a lot of energy, and happier then we had ever been before in our lives (and were happy people), and our stomachs felt fine, we even ate something. so we took a walk around the city. this was fantastic. All the people looked so interesting, and we had this social energy streaming through our viens, something WAY more then a little cannibis would create.
We then returned home and wrote some music, which turned out quite wierd, but sounded amazing while we were delirious. At around 9:00pm, the trip changed into something a little more 'trip-like'. I would describe the earlier feeling like opium with the LSD mind, no real halucinations, more of a in-the-head feeling, but no scatter brain or inability to function whatsoever. The new feeling was more psychedelic and less energetic, but this may have been because the cannibis effect had passed. We sat down and smoked my hookha, (shisha tobacco) which felt wonderful, and I went home, feeling relaxed and happy. I fell asleep easily and had some intense lucid dreaming!
I would classify this experience as happy and easy going. We both had a low dose (about 3.5g) which was great for a first time experience. I think the tea brewing idea really helped, cause they have been known to taste nasty, and we never felt real strong nausea (of course, the cannibis helped). I plan on doing this again, especially since we ordered 25 grams! maybe a tad more next time, just for kicks.
Experience Reports are the writings and opinions of the individual authors who submit them.
Some of the activities described are dangerous and/or illegal and none are recommended by Erowid.


--- title: R Markdown Introduction author: Yuan Du date: '2019-07-07' slug: RMarkdown_Intro categories: - R Markdown tags: - R Markdown subtitle: '' summary: '' authors: [] lastmod: '2019-09-18T16:29:05-04:00' featured: no image: caption: '' focal_point: '' preview_only: no projects: [] ---
The first time that I used R Markdown was back to 2014 when I was in graduate school. Unfortunately, I haven’t used this as much as I would like to due to the inconvinience with IT in the hospital. I’m slowly trying to use Rstudio more and more as SAS has limited options on some analysis. R markdown is great for documenting R code and math expressions.
This is an R Markdown document. Markdown is a simple formatting syntax for authoring HTML, PDF, and MS Word documents. For more details on using R Markdown see http://rmarkdown.rstudio.com.
You can embed an R code chunk like this:
summary(cars)
## speed dist
## Min. : 4.0 Min. : 2.00
## 1st Qu.:12.0 1st Qu.: 26.00
## Median :15.0 Median : 36.00
## Mean :15.4 Mean : 42.98
## 3rd Qu.:19.0 3rd Qu.: 56.00
## Max. :25.0 Max. :120.00
fit <- lm(dist ~ speed, data = cars)
fit
##
## Call:
## lm(formula = dist ~ speed, data = cars)
##
## Coefficients:
## (Intercept) speed
## -17.579 3.932
You can also embed plots. See Figure 1 for example:
par(mar = c(0, 1, 0, 1))
pie(
c(280, 60, 20),
c('Sky', 'Sunny side of pyramid', 'Shady side of pyramid'),
col = c('#0292D8', '#F7EA39', '#C4B632'),
init.angle = -50, border = NA
)
You can embed a flow chart. See Figure 2 for example:
DiagrammeR::grViz("digraph {
graph [layout = dot, rankdir = LR]
# define the global styles of the nodes. We can override these in box if we wish
node [shape = rectangle, style = filled, fillcolor = Linen]
First [label = '1. \n Create \n Github Repository']
Second [label = '2. \n Create R blogdown \n in R Studio']
Third [label= '3. \n Deploy the web \n by Netlify']
# edge definitions with the node IDs
First -> Second -> Third
}", height=150)


"x" "1" "BALL,JC, AND YOUNG,WC, AMES ASSAY MUTAGENICITY AND ELECTRONICSTRUCTURE CALCULATIONS OF BROMOMETHYLFLUORANTHENES, CHLOROMETHYLFLUORANTHENES,AND HYDROXYMETHYLFLUORANTHENES, CHEM.-BIOL. INTERACT. 77(3):2 __ 91-302,1991"


Class: CompilerSelector Private
- Defined in:
- extend/os/linux/compilers.rb,
compilers.rb
Overview
This class is part of a private API. This class may only be used in the Homebrew/brew repository. Third parties should avoid using this class if possible, as it may be removed or changed without warning.
Class for selecting a compiler for a formula.
Defined Under Namespace
Classes: Compiler
Constant Summary collapse
- COMPILER_PRIORITY =
This constant is part of a private API. This constant may only be used in the Homebrew/brew repository. Third parties should avoid using this constant if possible, as it may be removed or changed without warning.
{ clang: [:clang, :gnu, :llvm_clang], gcc: [:gnu, :gcc, :llvm_clang, :clang], }.freeze
Instance Attribute Summary collapse
-
#compilers ⇒ Object
readonly
private
-
#failures ⇒ Object
readonly
private
-
#formula ⇒ Object
readonly
private
-
#versions ⇒ Object
readonly
private
Class Method Summary collapse
-
.compilers ⇒ Object
private
-
.preferred_gcc ⇒ String
-
.select_for(formula, compilers = self.compilers) ⇒ Object
private
Instance Method Summary collapse
-
#compiler ⇒ Object
private
-
#initialize(formula, versions, compilers) ⇒ CompilerSelector
constructor
private
A new instance of CompilerSelector.
Constructor Details
#initialize(formula, versions, compilers) ⇒ CompilerSelector
This method is part of a private API. This method may only be used in the Homebrew/brew repository. Third parties should avoid using this method if possible, as it may be removed or changed without warning.
Returns a new instance of CompilerSelector.
122 123 124 125 126 127 |
# File 'compilers.rb', line 122 def initialize(formula, versions, compilers) @formula = formula @failures = formula.compiler_failures @versions = versions @compilers = compilers end |
Instance Attribute Details
#compilers ⇒ Object (readonly)
This method is part of a private API. This method may only be used in the Homebrew/brew repository. Third parties should avoid using this method if possible, as it may be removed or changed without warning.
120 121 122 |
# File 'compilers.rb', line 120 def compilers @compilers end |
#failures ⇒ Object (readonly)
This method is part of a private API. This method may only be used in the Homebrew/brew repository. Third parties should avoid using this method if possible, as it may be removed or changed without warning.
120 121 122 |
# File 'compilers.rb', line 120 def failures @failures end |
#formula ⇒ Object (readonly)
This method is part of a private API. This method may only be used in the Homebrew/brew repository. Third parties should avoid using this method if possible, as it may be removed or changed without warning.
120 121 122 |
# File 'compilers.rb', line 120 def formula @formula end |
#versions ⇒ Object (readonly)
This method is part of a private API. This method may only be used in the Homebrew/brew repository. Third parties should avoid using this method if possible, as it may be removed or changed without warning.
120 121 122 |
# File 'compilers.rb', line 120 def versions @versions end |
Class Method Details
.compilers ⇒ Object
This method is part of a private API. This method may only be used in the Homebrew/brew repository. Third parties should avoid using this method if possible, as it may be removed or changed without warning.
116 117 118 |
# File 'compilers.rb', line 116 def self.compilers COMPILER_PRIORITY.fetch(DevelopmentTools.default_compiler) end |
.preferred_gcc ⇒ String
6 7 8 |
# File 'extend/os/linux/compilers.rb', line 6 def self.preferred_gcc OS::LINUX_PREFERRED_GCC_COMPILER_FORMULA end |
.select_for(formula, compilers = self.compilers) ⇒ Object
This method is part of a private API. This method may only be used in the Homebrew/brew repository. Third parties should avoid using this method if possible, as it may be removed or changed without warning.
112 113 114 |
# File 'compilers.rb', line 112 def self.select_for(formula, compilers = self.compilers) new(formula, DevelopmentTools, compilers).compiler end |
Instance Method Details
#compiler ⇒ Object
This method is part of a private API. This method may only be used in the Homebrew/brew repository. Third parties should avoid using this method if possible, as it may be removed or changed without warning.
129 130 131 132 |
# File 'compilers.rb', line 129 def compiler find_compiler { |c| return c.name unless fails_with?(c) } raise CompilerSelectionError, formula end |


Clive Owen Set to Play Bill Clinton in Third Season of 'American Crime Story'
Titled ‘Impeachment.’
by Ambrose LeungFX has just confirmed that its third season Impeachment: American Crime Story, involving the sex scandal of Bill Clinton, will star Oscar-nominated actor Clive Owen.
The Monica Lewinsky-produced limited series follows the successful first two seasons The People v. O.J. Simpson: ACS and The Assassination of Gianni Versace: ACS — both with multiple Emmy nominations. The casting of Hillary Clinton is still ongoing but Fox 21 Television Studios and FX Production looks to premiere the third installment next year in late September.
In other entertainment news, Joker is the first R-rated movie to make $1 billion USD.


| 3599 - Go Go Gorelians North America - Mid Central - 2006/2007 | |||||
| Submit | Ranking |
The Gorelians travel through space using warp links. Travel through a warp link is instantaneous, but for safety reasons, an individual can only warp once every 10 hours. Also, the cost of creating a warp link increases directly with the linear distance between the link endpoints.
The Gorelians, being the dominant force in the known universe, are often bored, so they frequently conquer new regions of space in the following manner.
This causes a problem however. Since planets are conquered in a more-or-less random fashion, after a while, the RGGG will probably not be in an ideal location. Some Gorelians needing to consult with the RGGG might only have to make one or two warps, but others might require dozens--very inconvenient when one considers the 10-hour waiting period between warps.
So, once each Gorelian year, the RGGG analyzes the RGPN and relocates itself to an optimal location. The optimal location is defined as a planet that minimizes the maximum number of warps required to reach the RGGG from any planet in the RGPN. As it turns out, there is always exactly one or two such planets. When there are two, they are always directly adjacent via a warp link, and the RGGG divides itself evenly between the two planets.
Your job is to write a program that finds the optimal planets for the RGGG. For the purposes of this problem, the region of space conquered by the Gorelians is defined as a cube that ranges from (0,0,0) to (1000,1000,1000).
The input consists of a set of scenarios where the Gorelians conquer a region of space. Each scenario is independent. The first line of the scenario is an integer N that specifies the total number of planets conquered by the Gorelians. The next N lines of the input specify, in the order conquered, the IDs and coordinates of the conquered planets to be added to the RGPN, in the format ID X Y Z. An ID is an integer from 1 to 1000. X, Y, and Z are integers from 0 to 1000. A single space separates the numbers. A value of N = 0 marks the end of the input.
For each input scenario, output the IDs of the optimal planet or planets where the RGGG should relocate. For a single planet, simply output the planet ID. For two planets, output the planet IDs, smallest ID first, separated by a single space.
5 1 0 0 0 2 0 0 1 3 0 0 2 4 0 0 3 5 0 0 4 5 1 0 0 0 2 1 1 0 3 3 2 0 4 2 1 0 5 3 0 0 10 21 71 76 4 97 32 5 69 70 33 19 35 3 79 81 8 31 91 17 67 52 31 48 75 48 90 14 4 41 73 2 21 83 74 41 69 26 32 30 24 0
3 2 4 31 97


Cement sales hit historic high in Oct
by Our CorrespondentLAHORE: The cement sector posted a year-on-year increase of 9.19% in sales in October 2019 as dispatches stood at 4.98 million tons, a historic high for a month, compared to 4.56 million tons in October 2018.
The sector had registered an increase in cement sales in September 2019 as well following negative growth in the first two months (July-August) of the current fiscal year 2019-20.
In the northern region, cement sales registered an increase of 15.86% to 3.61 million tons in the domestic market in October 2019 compared to 3.1 million tons in October last year, according to data released by the All Pakistan Cement Manufacturers Association (Apcma). Surprisingly, local cement sales in the northern part were higher than the total cement sales in each of the first two months of the current fiscal year.
However, domestic cement sales in the southern region stood low at just 0.59 million tons in October, down 29.41% against 0.84 million tons in October 2018. Cement exports continued to rise during the month under review with the growth of around 28%, rising from 0.61 million tons in October 2018 to 0.79 million tons in October 2019.
Exports from the southern region rose a substantial 48.75% from 0.35 million tons in October 2018 to 0.59 million tons in October 2019 whereas exports from the north grew nominally from 0.26 million tons in October last year to 0.27 million tons this year.
Four-month data
In the first four months of the current fiscal year, cement manufacturers dispatched 16.12 million tons, up 4.53% from 15.42 million tons in the same period of last year.
Domestic sales amounted to 13.31 million tons in July-October 2019, higher by 2.3% from 13.01 million tons in the first four months of the previous year.
Mills situated in the north sold 11.45 million tons in the domestic market, 11.14% higher than 10.3 million tons in the corresponding period of the previous year.
The southern zone sold 1.86 million tons in the domestic market in July-October 2019, which was 31.27% lower than 2.71 million tons in the same period of the previous year.
Exports increased by 16.48% to 2.8 million tons during the period under review as opposed to 2.41 million tons in the same period of last year.
“It is strange that for the first time, the two cement producing regions of the country are depicting opposite trends in domestic consumption of cement,” said an Apcma spokesperson.
“In the previous fiscal year, the domestic demand was stronger in the south while this year, the northern zone has taken the lead.”
He added that the growth provided a much-needed relief but subdued consumption in the southern region was still a major concern.
“Commencement of work on the housing projects announced by the government will have a positive impact on the demand for cement in both the regions and other construction material,” he said. “It will create earning opportunities for both skilled and unskilled labour.”
He appealed to the government to minimise duties and taxes on the cement sector in order to give a further boost to cement consumption.
Published in The Express Tribune, November 3rd, 2019.


About Me
I am a Communication Design major at the Parsons School of Design. I love to use the various applications in Adobe Creative Cloud and create design related work in different mediums. I am also extremely passionate about the environment and sustainability and have worked with the Protect Our Planet Movement, using design to help bring about positive changes in the world. I love exploring and travlleing to new places, learning new things and taking photgraphs.


Pumped Storage Hydro proposed for Zimbabwe
by Babalwa BunganeSwedish owned Ngonyezi Projects has entered into a non-consumptive water use agreement with Zimbabwe National Water Authority.
The purpose of the agreement is to install a combination of 2,000MWh Pumped Storage Hydro (PSH) and 300MW solar PV.
The location of the installation is Osborne Dam on the Odzi river in Manicaland Province.
Storage is an essential part of a renewable energy strategy and it is recommended that 30% of the installed solar PV should be supported by storage, says Tomas Persson, initiator of the project.
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Ngonyezi Projects notes that in Zimbabwe there is average 8.5h peak price per day.
In terms of the design, the project is anticipated that a 300MW solar PV will require 500 ha of surface of dam, for solar panels.
The dam water will cool the panels, which gives higher efficiency and the panels covering the surface water reduces algae growth and evaporation – less 20 million m3/y of evaporation
PSH currently dominates total installed storage power capacity, with 96% of the total of 176GW installed globally in mid-2017.
The other electricity storage technologies already in significant use around the world include thermal storage, with 3.3GW (1.9%); batteries, with 1.9GW (1.1%) and other mechanical storage with 1.6GW (0.9%).


WRESTLEPROOF DEV BLOG
Updated on Fri Jan 15 2016
Sun Dec 13 2015
Welcome <3
I’m developing a digital (and paper) card game. This is its development blog.
–Ben


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William Billingsley
A Technologist's Agenda for Scriptable, Smart, Social, and Republishable Courses
This position paper describes the personal agenda of a lesser-known technologist and academic, who has been working on smart and social education technology since the early 2000s.
Since 2015, I have also been the coordinator for a bachelor-level computer science degree at a regional Australian university with a small on-campus cohort and larger online cohort. Market pressures encourage us to pursue greater flexibility in modes and times of study, greater authenticity in how study relates to industrial practice, and greater connectivity in how our systems and studies interact with those of the wider community. As a technologist, this also motivates me to draw from four previous projects, to try to create technologies and techniques to make this ever-greater flexibility viable for a small computer science teaching team.
By combining techniques from these projects, I aim to produce a small open source set of utilities to support publishing of smart, social, courses that support authentic tasks and can run and be managed in a variety of formats.


Valve Returns to ‘Half-Life’ With New VR Game, ‘Half-Life: Alyx’!
by Mike WilsonWhile Valve still can’t quite count to three, they will be returning to the Half-Life series in the form of their first VR game! Half-Life: Alyx will be revealed at 10 am PT/1 pm ET on November 21. On top of that, according to a leaked transcript from a new interview, Alyx will be shown at this year’s Game Awards on December 12!
It’s quite the coincidence, since this month marks the 15th anniversary of Half-Life 2‘s release. And while we never did get that closure in the form of Episode 3, perhaps Valve is leaving that to Alyx?


What if Javascript had a synchronous async flavor?
When writing asynchronous javascript your code will contain a bunch of await
and async
, Promise
s and maybe callbacks.
Here’s an example where we fetch a page and count the amount of div
elements:
As you write more and more code that is asynchronous, you will end up writing await
quite a bit.  What if we could do the same in Javascript? I’m tired of calling a function only to find out it returns a Promise instead of a real value.
Introducing n/async Javascript#
n/async Javascript takes the code you write, and puts await
in front of every expression. That sounds crazy, and it is, but here’s a demo:
Click the > Show transpiled code
button below the code to see the transpiled version. As you can see a lot of (unnecessary) awaits got inserted, but at least we don’t have to write them ourselves anymore surely increasing our productivity 10x.
The transpiler is powered by Babel and can be found here.
Why is this a bad idea?#
This flavor of Javascript allows us to write asynchronous code as if it is synchronous, but in reality of course it is still asynchronous. With this flavor of Javascript you can no longer do two asynchronous tasks at the same time, everything will be executed synchronously. For example if you want to make a request using fetch
, but are only willing to wait for two seconds for the result, you’re out of luck.
Secondly, compilers these days are really smart, but user code sprinkling in await
everywhere (including places where it does nothing) likely was not a priority in optimization for the compiler designers.
So what is it good for?#
Use it for fun, use it in experimental code in a notebook (like the above examples), but please don’t put this into production.
Any caveats?#
Member access expressions are not awaited (as this
would lead to issues when calling a member function). For example:
|
|
In practice this likely what you want anyway. If you do need to await member variables you can just write await yourself.
Do edit the code blocks above and play with it :)!


This form demonstrates the use of javascript functions within the XPath engine. All javascript functions are available to the XPath engine through a simple bridge that handles the conversion of data types between XPath and javascript. Currently, only primitives are allowed to cross the bridge: strings, numbers, and booleans. The reason for this is two-fold: the DOM interface presented does not present the complete interface, and more importantly mutation of the DOM is not possible. An exception is made for single-valued nodesets which are passed as a string containing the text value of the node. If a function call is made that provides a nodeset as an argument false is returned.
Just as only primitives may be passed to bridged functions, only primitives may be returned. If a function returns anything other than one of the allowable paramter types a boolean false is returned.
In order to use briged functions, the QName of the function must include a prefix. The namespace uri of the prefix must map to http://www.w3.org/2002/xforms#inline. You can register the prefix by adding xmlns:javascript="http://www.w3.org/2002/xforms#inline" to the html element. With the namespace prefix registered you may call any javascript function in the global namespace by prefixing the function name with the prefix. For example if you had a function called "currency", it would be called "javascript:currency".


QML+ Conference Review & Current State of Quantum Machine Learning
(This series of posts originally appeared on the Silverpond blog)
Day 1
Well, we made it to Innsbruck, Austria!
It was a huge journey to get here, and I have to tell you, Austria in general, and Innsbruck in particular, is absolutely beautiful.
On the train ride from Vienna to Salzburg, we spent most of the time looking out of the window taking photos. The weather is amazing; it’s perfectly warm and sunny, and it’s amazing to walk around the town and just see mountains everywhere.
But, I’m here, of course, on business, and in particular, primarily to attend the QML+ – Quantum Machine Learning … Plus – conference.
It’s the night of Day 1, so here’s a review of what happened:
Opening Talk: Why QML+?
by Hans Briegel
Hans Briegel, famous partly for his involvement measurement-based quantum computation (and of particular relevance to me, because this was part of what my Masters work was about) gave an overview talk about why we might care to think about how quantum computing could play a role in machine learning.
I quite enjoyed one of his ideas, which is thinking about how “Embodied AI” relates to the ideas of “information is physical” insofaras both imply that in order to think about the primary subject, we need to involve physics. This has been particularly fruitful in physics and information theory, and relates to some very far-reaching ideas, such as black holes.
He used this as motivation to study a “Artificial Agent” (or in standard lingo, Reinforcement learning) in the quantum setting:
His observation is: What is quantum? There are four options:
- CC: Classical Agent, Classical Environment
- CQ: Classical Agent, Quantum Environment
- QC: Quantum Agent, Classical Environment
- QQ: Quantum Agent, Quantum Environment
He noted that in the Quantum-Quantum setting, there are some foundational open problems:
- How do you measure that you’re learning?
- What does it mean to “act” in a fully quantum setting?
- What role does decoherence play?
I don’t think even these questions are quite clear to me, let alone the answers; but still interesting to think about.
One idea/question I had is: What is the simplest truly quantum reinforcement learning problem?
Quantum algorithms for the Hopfield network, quantum gradient descent, and Monte Carlo
by Patrick Rebentrost
Next up was Patrick, who gave a far-reaching talk on a variety of topics that he and his colleagues have been researching over the last few years.
He started off by reminding us of a bunch of challenges that he posed in a prior paper:
- The “input” challenge - How to get data in to a quantum network? It turns out this is very subtle.
- The “costing” challenge - Just how many qubits are required to implement these algorithms? How practical is it to build?
- The “output” challenge - Even if we build an efficient quantum machine learning algorithm that produces a final state that encodes the answer; how do we read out the answer efficiently? It takes many measurements to extract the known state, so is it efficient to do so?
- The “benchmarking” challenge - even if we solve all the above, how does it compare to classical algorithms? It can be very hard to prove that the quantum algorithm is better than any possible classical one.
Next, he talked about a quantum algorithm for training a so-called “Hopfield” neural network via the Hebbian learning procedure.
The Hopfield network is simply one in each every node is connected to every other node; and there is only one layer, and every node is both input and output (there are no layers, essentially). This may seem odd, and you should rightly wonder how you could train such a thing. One way to train it turns out to be the so-called “Hebbian” learning, which is inspired by the Human brain. The idea is captured by the phrase: “Neurons that fire together wire together”. With this idea in hand, it’s possible to develop a scheme to encode all this into a quantum computer, and perform all the updates and training. You can find more here.
For the everyday deep learning person, these ideas may sound a bit odd. Rightly so, because it’s not standard practice. Essentially the only reason to focus on these for in the quantum machine learning setting is that this is a network for which we can come up with a scheme to implement it on a quantum computer. A natural question is: Can we adapt the Hopefield-network techniques to work with multiple layers? I tentatively feel like the answer could be “yes”, but I haven’t thought a lot about it.
The next paper he talked about is this one: Quantum gradient descent and Newton’s method for constrained polynomial optimization.
I happened to read this one when it came out, because it was quite a big step. Previously, we had no idea how to even compute a quantum gradient, so this contribution was huge.
Unfortunately, the main problem of this paper is that the algorithm gets exponentially slower as the number of training steps increases. This is, at least naively, incredibly problematic for typical machine learning, where the number of steps is in the hundreds of thousands. In the paper they make the argument that oftentimes good results can be achieved after a very small number of steps, but it’s not clear to me how practical this is.
His final topic was Quantum computational finance; he was basically out of time, so didn’t go in to much detail, but the main idea is that again, using a standard technique in quantum computing called “amplitude amplification”, one can achieve a quadratic speedup in a certain kind of derivative-pricing. It turns out that banks and genuinely interested in these techniques, because being able to price something in say ~2 days, instead of 7 days, is a significant advantage market-wise.
Partick ended with a funny remark along these lines, which is that, the beauty of working in the finance world is that you don’t need to prove anything, you just simply build it, and let it go around making trades in the market; if it doesn’t work, you simply lose money!
Lunch
Over lunch, I had a really nice chat with Pooya Ronagh from 1Qbit and Ronald de Wolf. We chatted largely about how the practical every-day machine learning could be aided by quantum techniques. Ronald pushed hard to understand what areas quantum researchers should focus on, and Pooya and I were trying to come up with ideas. Pooya had an interesting comment that, in many ways, faster machine learning isn’t super useful, because for the physical cost of a quantum computer, you can already buy significant hardware and get great results. So bad results faster doesn’t really help, in a foundational way.
Some thoughts we had is that maybe just flat-out alternatives to gradient descent would be interesting; i.e. we know there are areas where gradient-descent style optimisation is not great: translation, program synthesis, neural architecture search, etc.
In any case, it was a very inspiring chat, and I was really glad to have met them!
Programmable Superpositions with Hebbian (un)-Learning
by Wolfgang Lechner
This, I must say, was quite technical, and I didn’t quite follow most of it. But I did get the general idea.
The main tool of quantum machine learning is the so-called HHL algorithm (see also: Quantum linear systems: a primer). One thing it requires is efficient loading of the training data. It turns out that typically, if you want to load the training data into a quantum algorithm, in general you’ll need to do an exponential amount of work in the number of training samples. Which is hugely problematic. I think I need to understand this a bit more, but at least the basic idea was clear: the data-loading needs to be sped up.
The main contribution of this work is that, through a rather elaborate procedure, partially described here: Programmable superpositions of Ising configurations (but more in upcoming publications), it’s possible to prepare the required state by encoding it into a Hamiltonian, and then letting the Hamiltonian evolve via adiabatic evolution. How? Hebbian Learning, evidentally! I admit that I didn’t follow most of this talk, but I do think this kind of thing is quite interesting, and there’s definitely a need to solve this general, and reasonably embarassing problem.
Day 2
We’re back. There first two talks were quite great, and there was another that was interesting and is worth a mention.
Opening Talk: Artificial Intelligence & Quantum Computing
by Aske Plaat
Even though it had a reasonably uninspiring title, this talk was actually excellent, and should’ve, in fact, been the opening talk of the conference.
Aske introduced some motivation, and introduced some simplifying assumptions about AI to try and cut off typical arguments about what it means to be “intelligent”. He defined his working notion, which is “to be intelligent is to act intelligently”, which later was quite controversial to a number of people.
He had a unifying way of explaining why we’ve seen such a boom of AI recently, which is:
- Algorithms
- Data
- Speed
I think this is a nice way of phrasing it. He then dove into the various parts in more detail, starting with algorithms.
He introduced what he sees as two main camps of machine learning:
- Connectionist AI, and,
- Symbolic AI.
Connectionist AI, as he sees it, is the kind that we all know and love: Deep learning, neural networks, “bottom-up” reasoning, function approximation, etc.
Symbolic AI, as he sees it, is more related to philosophy, logics, ontologies, expert systems, planning, Q-Learning, and other kind of pre-defined “slow-thinking/high-level reasoning” ideas.
The main point he makes with the distinction is that maybe more merging between the two schools of thought needs to take place. He gives the example of AlphaGo as being a case where the two ideas merged. Another one I thought of is the idea of Algebraic Machine Learning which certainly has some grand claims, but is at least mildly interesting for it’s ideas.
He then made some comments about how speed is also relevant, and without it we wouldn’t see such a boom. Again this is of interest to quantum-computing types, because being faster than classical computers is fundamentally what the field is all about, and that’s where there’s been a lot of focus recently (i.e. quantum speedups over classical algorithms).
Aske also noted the abundance of benchmarks for classical machine learning, which became a theme for a few of the questions during question time. In particular we discussed who, if anyone, and how, if possible, to come up with some good benchmark datasets and problems for quantum machine learning. Presently, no-one has anything good along those lines.
He then noted some challenges in classical ML, and made the observation that simply achieving a speedup won’t solve these problems (for example, the adversial attacks, or the delayed credit assignment problem). The claim is that we need to put some effort into what truly quantum algorithms might look like.
The main thing I got out of the talk was the idea that we should be thinking about making new benchmarks for quantum machine learning.
Quantum-Assisted Machine Learnnig in Near-Term Quantum Devices
by Alejandro Perdomo-Ortiz
Alejandro is very experienced in this field, it turns out. He’s been leading a team at NASA working on QML for the last 5 years, and now has moved to Rigetti, where he’s conducting research on the frontiers of quantum machine learning (also, Rigetti has a quantum cloud service coming …)
At NASA his drive was to drive interest in the practical usage of the quantum devices that NASA had purchased (in particular the D-Wave).
He noted that quantum chemistry, and the simulation of quantum systems, was the most natural idea, and everyone should be looking at it. But furthermore, he was tasked with thinking of other problems that could be mapped to these particular optimisation devices. Naturally, one idea is just straightforwad discrete optimisation; finding some satisfying assignment of variables for the minimisation of some particular cost function. And he conducted some early work here mapping protein folding to a certain kind of optimisation problem.
He echo’d Aske’s thoughts and said that we should be focusing on designing new algorithms, over just simply speed.
One of the most memorably quotes from his talk was “Look for the intractable, the more intractable the better, for me”.
One thing he spent a bit of time on was using the D-Wave to again implement one of these Hopfield networks (he called it here a “fully-visible model”), on a simplified digit dataset. Turned out it worked! Which essentially demonstrated that it was indeed possible to map a ML problem onto the device, and then have the device learn it’s own weights (couplings, here) which would allow it to do well at generating new digits!
Following this work, they then observed that infact they could train an autoencoder entirely classically, and then use the embedding vectors for all the training data as-in the setup above to train a kind of hybrid generative system:
I must say that I found this both interesting and confusing. It’s interesting because it’s a great way to use the complicated device to do “real” work, even when it has alone a very small amount of input nodes (it was something like 46, here, for this device). But it’s also confusing because most of the “juice” in the network is in the classical weights, not in the embedding vector itself. When I asked Alejandro about this, he said that it was mainly a way to demonstrate the hybrid set up, and that over time the idea is to make more regions quantum, and see how that changes things. I find it very interesting to think about how one would even go about jointly training a hybrid quantum-classical system.
The next idea he covered was the learning of quantum circuits see also Differentiable Learning of Quantum Circuit Born Machine.
This I think is a particularly great idea, and his approach was to focus on generate certain kinds of entangled states, with great results. They managed to find a state that has more entanglement, compared to the standard one, with this scheme. They also made some interesting observations about the expressive power of the depth of the circuits and what kind of states they can possible prepare.
His final insights were:
- Focus on the hardest problems of interest to ML exports, as this will be the quickest path to demonstrating a quantum advantage in the near-term.
- Focus on novel hybrid quantum-classical approaches.
Lunch
For lunch, Gala and I decided to enjoy the beautiful park right next to the venue! By chance, there was a beer garden inside!
Machine learning for designing new quantum experiments
by Alexey Melnikov
This talk was essentially another kind of program-synthesis problem, but this time in the language of optical elements. The idea is that, given some set of optical elements, and some number of qubits, how can we find all the possible sets of operations that make entangled states?
There new idea is to use a Reinforcement-Learning-inspired framework called “Projective Simulation”. I must say that I found the framework a little odd, but they did get good results, and it’s available as a python library for you to experiment with!
The Quantum Way of Doing Computations: New Technologies for the Quantum Age
by Rainer Blatt
This talk was a bit oddly-placed. It was an overview of how quantum computing works, and an introduction to the trapped-ion style of quantum computing.
Panel
The last event of the day was a very large panel of most of the speakers (~10 people) with a bunch of questions prepared by the organisers that were aimed to be thought-provoking. The best comment that came out of the entire discussion was from Matthias Troyer:
“That’s how you get a quantum advantage with zero qubits”
He was describing the recent work by Ewin Tang: A quantum-inspired classical algorithm for recommendation systems (which we actually already covered here).
Open areas of investigation
Here’s the list of open/interesting topics from today:
- Quantum datasets; benchmark problems,
- Detecting entanglement?
- Creation of states?
- Classifying entangled vs. non-entangled?
- How to generalise across qubit sizes?
- Reinforcement learning problems? Quantum games? Quantum chess? Communication games?
What does truly quantum ML look like? Let’s stop trying to map classical algorithms to quantum ones, and just make up new ones
This hybrid idea of linking parts of a network to qubits and parts being classical
- How do you train these things?
- Near-term, if we want to do quantum ML, we should focus on what actual hardware will be used, and target our approaches to those models.
Day 3
Today, there were only 3 talks; and we had a free afternoon! So we climbed* the big mountain!
*: Okay okay, by “climbed” I mean “took the lifts”. But there were 3 lifts!
Opening Talk: Learning from Quantum Data: Strengths and Weaknesses
by Ronald de Wolf
This was a great and classic talk in the same vein as many talks in the theory of quantum computation.
Ronald addressed the natural problem of what you could do if you your data was given you to as a quantum state (thereby ignoring all the problems that have been brought up with QRAM in the past few days; let’s just suppose we have the state!).
The proposal is to consider supervised learning in a very formal sense; imagine we have a function: f : {0, 1}n → {0, 1}.
Then, we can think of it as a supervised learning problem where we have n binary features, producing a single binary output, and we have our examples in the form: (x,f(x)).
Ronald wanted us to consider the so-called sample complexity, i.e. how many times do we have to evaluate f, instead of the more standard time complexity. In this sense here, the ideas are at least related, because fewer samples will take less time.
In general we’d need 2n examples to learn f fully, but we’ll want to do efficient learning, so we’d like to learn from far fewer queries than that.
Ronald preferred to work in the framework of PAC-learnability, which was introduced by Leslie Valiant in 1984. Leslie has a nice readable book on the topic (I’ve unfortunately lost my copy a while ago) which is well worth a read.
It turns out that in 1995, Bshouty and Jackson introduced a quantum version of this notion (see also Quantum DNF Learnability Revisited).
Their idea is to consider the state of training data: $$ \sum_{x \in \{0,1\}^n } \sqrt{D(x)} |x, f(x)\rangle $$ To demonstrate a speedup, suppose that we have the uniform distribution over the samples; so then our state becomes $$ \frac{1}{2^n} \sum_{x \in \{0,1\}^n } |x, f(x)\rangle $$ The main idea is to hit this with the Fourier sampling tool, that is a classic trick in quantum algorithms. The essential idea is, firstly support that (x) = ± 1, then we can do another standard trick, the Hadamard transformation, and obtain the state $$ \frac{1}{2^n} \sum_{x \in \{0,1\}^n } \hat{f}(s)|s\rangle $$
where $$\hat{f}(s) = \frac{1}{2^n} \sum_{x} f(x) (-1)^{s \cdot x}$$.
The point here is that when you measure this final state, the state you see is s with probability f̂(s)2. For a certain choice of f, namely when f is linear mod 2, then you can learn the function perfectly in exactly one query. Classically you would require at least n queries. Great reduction!
He then went into a few more examples, getting a little bit more technical each time; one was for the so-called “Coupon collector” problem, which is simply: imagine you get a random baseball card from a store, how many times do you need to visit the store before you have the entire set of cards?
Again, because this is a uniform problem, we can use similar techniques to improve on it. Classical, one can find that the expected number of store visits (samples) is approximately Nlog N (where N is the number of cards in total), but quantumly it can be done with O(N) samples.
Perhaps of interest, was some conclusions that they were able to show that no quantum speedup can be obtained when for all distributions; i.e. there are some bad distributions that we will just struggle with. I don’t think anyone finds this particularly surprising, and shouldn’t have a big impact on real-world problems, because typically, most data isn’t, shall we say, adversially prepared; the distributions tend to be wildly different (a natural example being the set of all images of mountains as a subset of all possible images).
The main idea here is that by utilising standard tricks from quantum algorithms we can get significant speedups when we know something about the distribution that we are learning from.
Limitations on learning of quantum processes
by Mario Ziman
This one was a little bit technical, but it had some interesting ideas.
Mario phrased the problem of quantum machine learning as follows:
The point being that in typical ML we want to modify the function f, and in quantum ML then we wish to modify the unitary Uf. This turns out to be quite problematic, because this function is truly quantum, and we know that quantum states suffer from the no-cloning principle: you cannot copy an unknown quantum state; so you can only use it once. Mario mentioned that this results in a No-programming theorem, which means that we cannot perfectly store an unknown quantum transformation (i.e., even if we find a Uf that works well; we can’t save it! We have to know how many times we want to use it in advance!).
However, it turns out we can still make some progress by, instead of requiring some kind of exact copy, we aim for probabilistic performance. The only remaining thing I got from this talk was that probabilistic learning, in their sense involving some kind of “probabilistic Q learning” is related to quantum teleportation. You can read about this work more here.
Discovering physical concepts with neural networks
by Renato Renner
This was a talk I was quite excited about. The paper for it is here. They’ve also made the code available, in TensorFlow.
The fundamental idea is really nice: Maybe we can build a neural network to act exactly as a standard human physicist would: they shall observe data, try and form theories, ask questions of their theories, and then check the answers.
This is very nicely expressed by the picture from the paper:
The point is that they train an autoencoder on the data, but the put constraints on the latent vector so that the entries by adding the mutual information between them on to the loss so-as to require independence; i.e. the parameters that the network learns should be independent.
They then introduce this idea of questions and answers. Unfortunately, I think the way this idea doesn’t go far enough is by, it seems to me, treating the answers as the input data itself; so that truly this network only functions as a special kind of autoencoder (at least, this is how it is in the code, and as far as I can see in the paper).
In any case, they’re able to show several problems where it is able to look at experimental data and where the latent variables are correlated to the terms that they expected to see in the equations that model these phenomena. I think that’s pretty cool.
One thing Renato noted quite strongly was that perhaps this isn’t super surprising, and maybe the network received a lot of help by the way the data was sent to it. I think that this could be mitigated, maybe, by thinking a bit more about the quesiton/answer set up, and more generally thinking about how we can allow the network to reject data samples.
Some ideas I had during this talk related to the kind of “falsifiability” ideas; namely that if this system is forced to come up with theories for data, then how can we also ensure that the theories it has can be proven wrong?
My other idea was, what if instead of just having a latent variable, i..e an independent variable, have an entire neural network in there, that could perhaps serve as an “independent explanation”.
Overall, I quite enjoyed this talk and idea.
Open areas of investigation
The interesting things that came to me regarding today were:
- What other cool quantum algorithm tricks should we be using?
- Bomb testing?
- The bomb-testing thing is a kind of learning anyway. Probably interesting?
- If we do really want to learn truly quantum unitaries, then what’s the deal with having to know how many times we want to use it!? That’s crazy!
- How can we make a better machine for generating theories?
Day 4
Well, it’s Thursday night, and I’ve just finished up my last day at the conference. Tomorrow, we’ll be heading on our (short) holiday! While QML+ formally has two more talks tomrorrow, they are less relevant to me personally, plus we need to get a head start to make it to some waterfalls!
Here’s my summary of the talks I attended today!
Opening Talk: ML+Q
by Matthias Troyer
With an amusingly-titled talk, Matthias is the master of classical simulation algorithms for quantum processes. He spends most of his time working on the software side, trying to demonstrate practical quantum speedups for optimisation problems.
As with most of the other talks, he described several pieces of work. The first was a neural network that could be used to learn a quantum wave function, and then used to find phases and amplitudes of given states, and compute other properties.
Their setup was the (seemingly-standard) Restricted Boltzmann Machine, where the input was whether-or-not there is a z-rotation on the given qubit, and the output being the inner product with some state |s⟩.
But, non-standardly, the weights of this network are actually found using what they refer to as “reinforcement learning”, but is actually something called “Stochastic Reconfiguration”. Once they find initial values for the weights, by looking at the Hamiltonian of the particular system, they then fine-tuned, if they want to compute properties that depend on time. It’s a little bit involved, to say the least.
Anyway, having done this, they do acheieve some nice results. They are able to use their neural network to compute various properties quite well.
Later, they applied an RBM again, but without the weird “Stochastic Reconfiguration”, and were able to get very good results in learning quantum states.
He then spent a bit of time covering his work on quantum annealing. In particular, in that worked they observe that quantum annealers seem to be fated to always produce unfair samples of the potential states; i.e. not every state has equal probability to appear. Ingeniously, they came up with a classical simulation of quantum annealing that is actually faster and more accurate.
All this resulted in the numerical comment that if there is any quantum annealing problem you’re running classically for more than 1 day, you’ll go faster if you use a quantum annealer.
One of the interesting conclusions for this part of the work was, when you’re simulating adiabatically evolving something classically, sometimes it’s better, if you want tunneling, to evolve very fast (the adiabatic theorem would tell us we need to evolve slowly). He demonstrated this in an amusing way by saying that he could tunnel through the wall in room if we would just close our eyes for 30 seconds, instead of 30 microseconds.
His other summaries were:
- Neural nets are great for learning efficient representations of wave functions; and probably more
- Stoquastic quantum annealing can be well mimicked by a classical laptop
- Sampling bias makes quantum annealers bad for this task
- Gate-model quantum computers will accelerate quantum-inspired algorithms
Early Lunch/Hike
Unfortunately, a talk I was looking forward to, by Franceso Petruccione, probably related to this work was cancalled, so Gala and I went for a long hike instead. We almost got lost, found beautiful forests, found a beautiful field that reminded me of Jurassic Park, lost faith in ever seeing the bottom of the mountain again and eventually made it back to the lifts alive.
This impromptu adventure meant we just got back in time for the last talk of the day.
Quantum speedup in testing causal hypotheses
by Giulio Chiribella
This talk was essentially based around this paper.
The main point is to think about a framework for causal hypotheses, and then see how classical and quantum approaches compare. The setup as like so:
We think of curly-C as some kind of unknown process (for example, node.js
,
ha ha ha), and then ask ourselves: What is the causal relationship between B
and A? And between C and A?
The setting Giulio proposes is that we want to be able to determine exactly, from a given set of hypotheses, which one is correct. Here, imagine the following:
- Hypothesis 1: B is dependent on A, and C is uniformly random.
- Hypothesis 2: C is dependent on A, and B is uniformly random.
The question is: Who can do better, as a function of the number of trials, to determine which hypothesis is right? In order to be able to make progress, we allow ourselves interventions; i.e. that we can feed data into A, and then use that to make subsequent queries to curly-C.
For reasons I don’t really understand, in the paper they claim that classically, if the dimension of all variables is finite and fixed to d, then, if B (or C) is dependent on A, then that means that the function mapping A to B is invertible. With such a constraint, it’s easy to see that it’s possible to determine the difference between the two hypothesis. The value of interest to them is the “discrimination rate”, as the number of experiments is performed. They find that it is log d. Quantumly, they find that they are able to differentiate the two hypothesis with discriminatio rate 2log d. This, in the theory they’ve developed, is exponentially better than the classical case. Great!
I left this talk a little bit confused, but at least vaugely interested in the idea of quantum causal modelling.
Open areas of investigation
The interesting things that came to me regarding today were:
- How to combine SciNet with the neural-nets for determining wave functions?
- What’s the relationship between tensor networks and these neural nets? and Conv nets?
Final thoughts on the conference
Overall, I’m inspired by quantum machine learning. I feel like there’s heaps of cool things to do.
Unfortunately, I’m disappointed by some things about this conference. Having come from so far away, and wanting to maximise my time the best way, I found it frustrating that even the titles for most of the talks weren’t known in advance.
I found the conference events and overall feeling to be very non-inclusive. There was lots of mention of people working in ML/QC as “guys”; there were lots of in-crowds and, while there was lots of talk of wanting to mix with the “machine learning crowd”, people were somewhat skeptical of me not being associated with any university, and attempts to organise people as either “machine learning/classical” and “quantum”. Further, there was also no mention of a code of conduct.
Sarah Moran, of Girl Geek Academy once gave a talk about “micro positive-actions” (or something, I can’t remember the name) but the ones that stuck out to me were:
- Name tags, always (this conference did well at this),
- Always leave a spot open in a talking circle,
These are great rules of thumb for any organisers to keep in mind. If you have more, please let me know!
Overall, it would be great to see these academic conferences put significant effort into making their conferences feel much more welcoming to all types of people.


KENV documentation¶
KENV (Kapchinscky ENVelope) is a solver for the Kapchinsky-Vladimirsky envelope equation for electron beam with space charge.
It is well suited for electron beam posting in an accelerator path with solenoidal and quadrupole focusing.
The distinctive feature of canvases for finding the envelope in comparison with other programs (various PIC-codes) is its speed.
Contents of the documentation¶
If you are new to KENV, we strongly recommend that you read the section Overview first, so as to have a basic understanding of what the code does.
You can then see the section Installation and Tutorial, to get started with using KENV. For more information, the section API reference lists the main objects that are accessible through KENV.
Contributing to KENV¶
KENV is open-source, and the source code is hosted here, on Github.
We welcome contributions to the code!
Research & Attribution¶
KENV was developed by Vyacheslav Fedorov, Danila Nikiforov and Alexey Petrenko at Budker Institute of Nuclear Physics.
KENV’s algorithms are documented in following scientific publications:
High-Current Electron-Beam Transport in the LIA-5 Linear Induction Accelerator (original paper): D. A. Nikiforov et al., Phys. Part. Nuclei Lett. 17, 197-203 (2020)
If you use KENV for your research project: that’s great! We are very pleased that the code is useful to you!
If your project even leads to a scientific publication, please consider citing at least KENV’s original paper. If your project uses the more advanced algorithms, please consider citing the respective publications in addition.


8.5. The Red-Black Tree (WORK IN PROGRESS)¶
8.5.1. Exercise 1¶
8.5.2. Exercise 2¶
Red-black trees
A 2-3 tree is a conceptually elegant way to maintain a balanced search tree. By extending the binary search tree with 3-nodes, we can keep the tree perfectly balanced at all times. By alternating _splitting_ and _merging_, we can add new elements to the tree without breaking the invariant.
2-3 trees are, however, rarely used in practice. There are two major problems with them:
The code to implement them is quite complicated, even though the algorithms are conceptually simple. This is because there are many different cases - for example, inserting into the left child, the middle child, or the right child of a node all require different code, even though the algorithm is conceptually the same. This only gets worse when we consider that some of the code also needs to handle 4-nodes, which are created temporarily during insertion.
Most programming languages do not allow an object to change in size. However, in a 2-3 tree, we sometimes need to change a 2-node into a 3-node.  This wastes a lot of memory.
In short, 2-3 trees are excellent on paper, but annoying to implement in code - better as slideware than software. In this section, we shall learn about red-black trees, which take the idea of 2-3 trees and adapt it to be easier to code. Red-black trees are very efficient, and widely used in practice. For example, TreeMap in Java and std::map in C++ are both based on red-black trees.
Think back to binary heaps. A binary heap is conceptually a binary tree, but it is represented as an array. The algorithms for modifying binary heaps are conceptually tree algorithms, but we translated them to work on the array representation of binary heaps.
Red-black trees are based on a similar idea. A red-black tree is conceptually a 2-3 tree, but we represent it using a binary search tree. The nodes of the 2-3 tree become nodes in the binary search tree.
A red-black tree is a binary search tree, but every node in the tree also has a colour, either red or black. The colour of a node is stored as a field in the node.
Given a 2-3 tree, here is how we represent it as a red-black tree. A 2-node is just going to become a single node in the tree, coloured black:
A 3-node is going to turn into two nodes: a parent and its left child.
Here is an example of a 2-3 tree, and how it looks as a red-black tree.
Notice that, starting from the red-black tree, we can reconstruct the 2-3 tree.
Quiz: Which of the following red-black trees correspond to valid 2-3 trees? That is, is there a 2-3 tree which, when translated, gives the red-black tree? Don’t forget that a valid 2-3 tree must also be perfectly balanced.
We are now ready to see the invariant for red-black trees. One way to state the invariant is: a red-black tree is valid if it corresponds to a valid 2-3 tree. However, we are going to state the invariant more directly, in terms of the colours of the nodes in the red-black tree. A red-black tree must obey the following rules:
1. The root of the tree must be black. (Because it must correspond to either a 2-node or a 3-node.) 2. If a node is red, it must be the left child of a black node. (This is how 3-nodes are represented.) 3. On every path from the root to a null, there must be the same number of black nodes.
… OR …
Recall that in a 2-3 tree we have the following properties:
The tree is ordered (similar to a BST). 2. Every node is either a 2-node or a 3-node. 3. On any path from the root to a null, there are the same number of nodes. (This is the perfect balance property.)
Since a red-black tree is supposed to be the translation of a valid 2-3 tree, we are going to take the 2-3 tree invariants and translate them to talk about BSTs. By doing so, we get the following invariants for a red-black tree:
It must be a valid BST. 2. A red node can only occur as the left child of a black node. (In particular, the root must not be red.) 3. On any path from the root to a null, there are the same number
of _black_ n odes.
example black, partial nodes, etc
We consider null to be black. XXX it correponds to a whole node in the 2-3 tree


- Place 'Parzi's Star Wars Mod v1.3.3.jar' in:
[Windows] %appdata%\.minecraft\mods\
[MacOS] <Startvolume>/Users/<You>/Library/Application Support/minecraft/mods/
(If you don't have a mods folder then create one)
- Run 'forge-1.7.10-<IP_ADDRESS>4-1.7.10-installer.jar', select 'Install client' and press 'OK'
(It should automatically find your .minecraft folder unless you have installed minecraft in a custom location)
- Start Minecraft and you should be ready to play on Blocktopia!


Texas City Offering Free Grease Containers to Prevent Brown Friday
by StrykerWhat's Brown Friday? Only the biggest day of the year for plumbers in the country.
This Thursday, you're going to have a lot of people cooking a massive feast for the family. You will also have people that have no idea what they're doing in the kitchen, by that I mean the aftermath. The dishes on Thanksgiving pile up and people just want to use the old trusty garbage disposal.
 Plumbers say the day after Thanksgiving is known as Brown Friday. It is their busiest day of the year. Plumbers say you need to avoid putting F.O.G. down the drain. This stands for Fats, Oil, and Grease. The city of Corpus Cristi is actually giving residents free grease containers to prevent this from happening. Sadly, people will still not listen.
Here is what you should NOT put down the drain.
FATS
- Raw Meat
- Meat Trimmings
- Poultry Skins
- Butter
- Lard
- Cheeses
- Sour Cream
OILS
- Cooking OIl
- Salad Dressing
- Vegetable OIls
- Coconut OIl
- Olive OIl
- Fryer Oil
- Margarine
GREASE
- Bacon Residue
- Chicken Broth
- Beef Stock
- Gravy
- Mayonnaise
- Fried Drippings
- Soups


| pgpool-II 4.0.3 Documentation | |||
|---|---|---|---|
| Prev | Up | Chapter 6. Client Authentication | Next |
Just like the pg_hba.conf file for PostgreSQL, Pgpool-II supports a similar client authentication function using a configuration file called pool_hba.conf. Pgpool-II installation also includes the sample pool_hba.conf.sample file in the default configuration directory ("/usr/local/etc"). By default, pool_hba authentication is disabled, and setting enable_pool_hba to on enables it. see the enable_pool_hba configuration parameter.
The format of the pool_hba.conf file follows very closely PostgreSQL's pg_hba.conf format.
The general format of the pool_hba.conf file is a set of records, one per line. Blank lines are ignored, as is any text after the # comment character. Records cannot be continued across lines. A record is made up of a number of fields which are separated by spaces and/or tabs. Fields can contain white space if the field value is double-quoted. Quoting one of the keywords in a database, user, or address field (e.g., all or replication) makes the word lose its special meaning, and just match a database, user, or host with that name.
Each record specifies a connection type, a client IP address range (if relevant for the connection type), a database name, a user name, and the authentication method to be used for connections matching these parameters. The first record with a matching connection type, client address, requested database, and user name is used to perform authentication. There is no "fall-through" or "backup": if one record is chosen and the authentication fails, subsequent records are not considered. If no record matches, access is denied.
A record can have one of the following formats
local database user auth-method [auth-options] host database user IP-address IP-mask auth-method [auth-options] hostssl database user IP-address IP-mask auth-method [auth-options] hostnossl database user IP-address IP-mask auth-method [auth-options] host database user address auth-method [auth-options] hostssl database user address auth-method [auth-options] hostnossl database user address auth-method [auth-options]
The meaning of the fields is as follows:
This record matches connection attempts using Unix-domain sockets. Without a record of this type, Unix-domain socket connections are disallowed.
This record matches connection attempts made using TCP/IP. host records match either SSL or non-SSL connection attempts.
Note: Remote TCP/IP connections will not be possible unless the server is started with an appropriate value for the listen_addresses configuration parameter, since the default behavior is to listen for TCP/IP connections only on the local loopback address localhost.
This record matches connection attempts made using TCP/IP, but only when the connection is made with SSL encryption.
To make use of this option the Pgpool-II must be built with SSL support. Furthermore, SSL must be enabled by setting the ssl configuration parameter. Otherwise, the hostssl record is ignored.
This record type has the opposite behavior of hostssl; it only matches connection attempts made over TCP/IP that do not use SSL.
Specifies which database name(s) this record matches. The value all specifies that it matches all databases.
Note: "samegroup" for database field is not supported:
Since Pgpool-II does not know anything about users in the PostgreSQL backend server, the database name is simply compared against the entries in the database field of pool_hba.conf.
Specifies which database user name(s) this record matches. The value all specifies that it matches all users. Otherwise, this is the name of a specific database user
Note: group names following "+" for user field is not supported:
This is for the same reason as for the "samegroup" of database field. A user name is simply checked against the entries in the user field of pool_hba.conf.
Specifies the client machine address(es) that this record matches. This field can contain either a host name, an IP address range, or one of the special key words mentioned below.
An IP address range is specified using standard numeric notation for the range's starting address, then a slash (/) and a CIDR mask length. The mask length indicates the number of high-order bits of the client IP address that must match. Bits to the right of this should be zero in the given IP address. There must not be any white space between the IP address, the /, and the CIDR mask length.
Typical examples of an IPv4 address range specified this way are <IP_ADDRESS>/32 for a single host, or <IP_ADDRESS>/24 for a small network, or <IP_ADDRESS>/16 for a larger one. An IPv6 address range might look like ::1/128 for a single host (in this case the IPv6 loopback address) or fe80::7a31:c1ff:0000:0000/96 for a small network. <IP_ADDRESS>/0 represents all IPv4 addresses, and ::0/0 represents all IPv6 addresses. To specify a single host, use a mask length of 32 for IPv4 or 128 for IPv6. In a network address, do not omit trailing zeroes.
An entry given in IPv4 format will match only IPv4 connections, and an entry given in IPv6 format will match only IPv6 connections, even if the represented address is in the IPv4-in-IPv6 range. Note that entries in IPv6 format will be rejected if the system's C library does not have support for IPv6 addresses.
You can also write all to match any IP address, samehost to match any of the server's own IP addresses, or samenet to match any address in any subnet that the server is directly connected to.
If a host name is specified (anything that is not an IP address range or a special key word is treated as a host name), that name is compared with the result of a reverse name resolution of the client's IP address (e.g., reverse DNS lookup, if DNS is used). Host name comparisons are case insensitive. If there is a match, then a forward name resolution (e.g., forward DNS lookup) is performed on the host name to check whether any of the addresses it resolves to are equal to the client's IP address. If both directions match, then the entry is considered to match. (The host name that is used in pool_hba.conf should be the one that address-to-name resolution of the client's IP address returns, otherwise the line won't be matched. Some host name databases allow associating an IP address with multiple host names, but the operating system will only return one host name when asked to resolve an IP address.)
A host name specification that starts with a dot (.) matches a suffix of the actual host name. So .example.com would match foo.example.com (but not just example.com).
When host names are specified in pool_hba.conf, you should make sure that name resolution is reasonably fast. It can be of advantage to set up a local name resolution cache such as nscd.
This field only applies to host, hostssl, and hostnossl records.
Specifying the host name in address field is not supported prior to Pgpool-II V3.7.
These two fields can be used as an alternative to the IP-address/ mask-length notation. Instead of specifying the mask length, the actual mask is specified in a separate column. For example, <IP_ADDRESS> represents an IPv4 CIDR mask length of 8, and <IP_ADDRESS> represents a CIDR mask length of 32.
This field only applies to host, hostssl, and hostnossl records.
Specifies the authentication method to use when a connection matches this record. The possible choices are summarized here; details are in Section 6.2.
Allow the connection unconditionally. This method allows anyone that can connect to the Pgpool-II.
Reject the connection unconditionally. This is useful for "filtering out" certain hosts, for example a reject line could block a specific host from connecting.
Require the client to supply a double-MD5-hashed password for authentication.
Note: To use md5 authentication, you need to register the user name and password in pool_passwd file. See Section 6.2.2 for more details.
Perform SCRAM-SHA-256 authentication to verify the user's password.
Note: To use scram-sha-256 authentication, you need to register the user name and password in pool_passwd file. See Section 6.2.3 for more details.
Authenticate using SSL client certificates. See Section 6.2.4 for more details.
Authenticate using the Pluggable Authentication Modules (PAM) service provided by the operating system. See Section 6.2.5 for details.
PAM authentication is supported using user information on the host where Pgpool-II is running. To enable PAM support the Pgpool-II must be configured with "--with-pam"
To enable PAM authentication, you must create a service-configuration file for Pgpool-II in the system's PAM configuration directory (that is usually located at "/etc/pam.d"). A sample service-configuration file is also installed as "share/pgpool.pam" under the install directory.
After the auth-method field, there can be field(s) of the form name= value that specify options for the authentication method.
Since the pool_hba.conf records are examined sequentially for each connection attempt, the order of the records is significant. Typically, earlier records will have tight connection match parameters and weaker authentication methods, while later records will have looser match parameters and stronger authentication methods. For example, one might wish to use trust authentication for local TCP/IP connections but require a password for remote TCP/IP connections. In this case a record specifying trust authentication for connections from <IP_ADDRESS> would appear before a record specifying password authentication for a wider range of allowed client IP addresses.
Tip: All pool_hba authentication options described in this section are about the authentication taking place between a client and the Pgpool-II. A client still has to go through the PostgreSQL's authentication process and must have the CONNECT privilege for the database on the backend PostgreSQL server.
As far as pool_hba is concerned, it does not matter if a user name and/or database name given by a client (i.e. psql -U testuser testdb) really exists in the backend. pool_hba only cares if a match in the pool_hba.conf can be found or not.
Some examples of pool_hba.conf entries. See the next section for details on the different authentication methods.
Example 6-1. Example pool_hba.conf Entries
# Allow any user on the local system to connect to any database with # any database user name using Unix-domain sockets (the default for local # connections). # # TYPE DATABASE USER ADDRESS METHOD local all all trust # The same using local loopback TCP/IP connections. # # TYPE DATABASE USER ADDRESS METHOD host all all <IP_ADDRESS>/32 trust # Allow any user from host <IP_ADDRESS> to connect to database # "postgres" if the user's password is correctly supplied. # # TYPE DATABASE USER ADDRESS METHOD host postgres all <IP_ADDRESS>/32 md5


Chaos while Choosing the right wireframe Framework for you
By Anupam PanwarOne can easily get lost in the world of frameworks which moreover achieves the same result but the way to achieve that result is different. Same is applied while choosing wireframe Framework. The Internet is filled with many such frameworks like whimsical, figma, adobe XD, and many more and thus choosing the apt one for you can sometimes leave you in bewilderment. I was also in the same state when I got started with wireframe designing for my preparatory level-1. I explored various youtube videos and in the same fashion various blogs related to best wireframe Framework and more I searched about it more I was in bewilderment because this is the usual way one feels when he/she has incomplete knowledge about something. I searched continuously for 2 hour about various features that these frameworks can offer me and with what ease I can achieve the desired result in these frameworks. At the end after exploring a dozen of youtube videos and half a dozen blogs I reached up to an conclusion that Figma could be the best choice for me because
- It is a web based service so you don’t need to download any particular app for designing. Any basic browser with an internet facility will work fine.
- Real time collaboration like in canva is a feature that makes it handy for multiple designers to work on the designs at the same time.
- Figma also provides a free plan to explore their platform which is sufficient enough to get your work done but if you are a college student then they are providing two year free subscription to their premium services so why not take advantage of the things that are explicitly made for you.
- Recently I came across a very fascinating feature of Figma that we can also show real time animation in our wireframe which makes it handy for the designer to explain his/her design to the client.
"For there is nothing either good or bad, but thinking makes it so"
-- Shakespeare
Similar is applied with Figma also. It too comes with some flaws
- As it is a web based service so sometimes it can frustrate you due to poor internet connection and if it happens during your presentation it is capable of ruining your complete day.
Here are some of the pros and cons of figma but a similar list of pros and cons can be prepared for any other framework also thus choosing an apt framework for you becomes a thing of subjective matter accepting the flaws in order to utilize the cons is the discretion of the Person. So choose your framework wisely.


The Manchego is produced in the La Mancha region of Spain, which is also home to Don Quixote. It is made from unpasteurised sheep's milk. It is one of the popular cheeses from Spain, made from sheep's milk. It also comes under the PDO guidelines.
The traditional use of grass moulds leaves a distinctive, characteristic zigzag pattern on the Manchego cheese. Authentic Manchego is only made from the Manchego sheep's milk. Manchego cheese is made from both pasteurised and unpasteurised milk. The farmhouse version is produced from unpasteurised milk while the industrial version is produced from pasteurised milk.
The rind is inedible with a distinctive, traditional herringbone basket weave pattern, pressed on it. A typical ear wheat pattern is pressed onto the top and bottom wheels of the cheese. There are specific differences in Manchego cheeses, depending on their aging period.
Semi Curado - Young Manchego cheese is aged around 3 months are supple and moist. The flavour is fruity, grass, hay with a tangy note.
Curado - Manchego cheese aged for 6 months acquires a caramel and nutty flavour. It has distinct acidity.
Viejo - Manchego cheese aged for a year becomes crumbly in texture while the interior of the cheese acquires a butterscotch colour. It has a sweet, lingering taste.
Manchego cheeses are best paired with a sherry. Cheeses similar to Manchego are called 'Machego like cheeses', but the producers cannot legally name the cheese as Manchego.
This celebrated cheese has won gold and silver award at the 2014 World Cheese Awards.
Other Spanish cheeses:
Top photos from Twitter


"KANAH "reedy; brook of reeds. (1.) A stream forming the boundary between Ephraim and Manasseh, from the Mediterranean eastward to Tappuah (Joshua 16:8). It has been identified with the sedgy streams that constitute the Wady Talaik, which enters the sea between Joppa and Caesarea. Others identify it with the river’ Aujeh. (2.) A town in the north of Asher (Joshua 19:28). It has been identified with ‘Ain-Kana, a village on the brow of a valley some 7 miles south-east of Tyre. About a mile north of this place are many colossal ruins strown about. And in the side of a neighbouring ravine are figures of men, women, and children cut in the face of the rock. These are supposed to be of Phoenician origin.
"KANAH "reedy; brook of reeds. (1.) A stream forming the boundary between Ephraim and Manasseh, from the Mediterranean eastward to Tappuah (Joshua 16:8). It has been identified with the sedgy streams that constitute the Wady Talaik, which enters the sea between Joppa and Caesarea. Others identify it with the river’ Aujeh.
(2.) A town in the north of Asher (Joshua 19:28). It has been identified with ‘Ain-Kana, a village on the brow of a valley some 7 miles south-east of Tyre. About a mile north of this place are many colossal ruins strown about. And in the side of a neighbouring ravine are figures of men, women, and children cut in the face of the rock. These are supposed to be of Phoenician origin.


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The story revolves around two brothers, Sam and Dean Winchester as they follow their father's footsteps, hunting down evil supernatural creatures such as monsters, demons, and even fallen gods while trying to save innocent people along the way. Continuing the "family business" after their father's death, the brothers soon discovered that the "hunt" doesn't just involve slashing and hacking monsters and demons but also dealing with more powerful creatures such as angels, reapers, and even Death.


| Provider |
Description |
Dependencies |
Provider
String |
Limitations |
| Emulator |
Provides an emulated telephony
system, with GUI, for testing |
"Emulator" |
||
| Mux |
Allows multiple GJTAPI providers
to be multiplexed together as one virtual GJTAPI provider. |
"Mux" |
||
| Inverter |
Allows 3rd party JTAPI
implementations to be accessed through GJTAPI. Useful with both the Mux
provider and the remote providers (RMI, CORBA, Web Services). Also
allows JTAPI implementations to appear as Jcc or Jcat implementations. |
"net.sourceforge.gjtapi.raw.inverter.InverterProvider" | ||
| Corba |
A remote provider that allows
for a JTAPI/Jcc application to control remote GJTAPI providers. |
"Corba" |
||
| RMI |
Same as Corba provider, but
using RMI for distributed messaging. |
"Rmi" |
||
| Web Services |
Same as Corba provider but using
web service for distributed messaging. |
Jax-Rpc GjtapiWebService.jar Gjtapi-Rpc.war |
"ca.deadman.gjtapi.raw.remote.webservices.WebProvider" | Available under GPL and
proprietary licence from http://www.deadman.ca/products.shtml |
| Modem |
Supports serial voice modems,
with configuration done by properties files. |
comm.jar (Java COM serial access) |
"Modem" |
Limited number of modems tested.
AccuraV92 chips supported. Only .au files are supported for playing. Recorded files are ulaw files and must be converted to another format to be useful. |
| Dialogic |
Supports systems that provide
the Dialogic GlobalCall API. Both Windows and Linux supported. |
libgcprovider.so (linux) or gcprovider.dll (win32) |
"DialogicGC" |
Media not supported. |
| Xtapi Bridge |
Supports the providers developed
for the XTAPI project: Tapi, Serial Modem, H.323, Dialogic (using D4J) |
(The appropriate XTAPI service
provider and any dependent DLLs) |
"Xtapi" |
XTAPI does not seem to be
actively developed anymore. The TAPI service provider does not handle
some TAPI 3.0 devices properly. |
| Sip |
Supports SIP calls |
JainSipApi.jar nist-sdp-1.0.jar nist-sip-1.2.jar Stun4J.jar log4j.jar |
"Sip" |
|
| Tapi 3.0 |
Supports TAPI 3.0 on win32
systems |
Tapi3Provider.dll (win32) | "Tapi3" |
Limited media support. It can
generate and detect DTMF but not play and record sounds. |


Enter your lyrics here:
Number of syllabus:
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from: RhymeBrain.com
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DreStyle.mp3
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- Facilitates performance tuning
Our Mantra
CODE RESOURCES acquires a team of Java specialists who are trained in Java-based technologies, For example struts offshore services, J2EE web development, Spring Java web development and developing hibernate applications. We utilize clear communication methodologies. We additionally help offshore Java web development and serve prestigious client base over the globe. Providing on time delivery and cost effective result is our mantra. |
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RFMAP
Interface
Interpretation
Instance View
Forest View
Reset
Feature View
Count of Instances per class


class Bearer:
This class is used to model Bearers properties and behabiour.
| Method | __init__ |
Undocumented |
| Instance Variable | id |
Undocumented |
| Instance Variable | qci |
Undocumented |
| Instance Variable | type |
Undocumented |
| Instance Variable | buffer |
Undocumented |


WITNESS LIST Natural Resources Committee February 12, 2003-3:00P state agency/ organizational On: Combs, Susan (Texas Dept. of Agriculture) Cook, Robert L. (TPWD) Hoffman, Margaret (TCEQ) Kiker, Robert (State Auditor's Office) Ward, Kevin (TX Water Development Board)


View on GitHub
Plottable.js
A library for concisely creating powerful, flexible, interactive charts. Built on D3.js


HTML5 Canvas applications:
- A Mandelbrot Set renderer
- The Game of Life cellular automaton
Other applications:
- Guitar Fret Information Calculator - Names and frequencies of notes on a guitar fretboard
- Pipes - A puzzle based on a Yahoo! Widget
- Image animation using jQuery
- Card game: Blackjack
- Othello (also known as Reversi)
- Tic-Tac-Toe