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IN THE HIGH COURT OF JHARKHAND AT RANCHI A. B. A. No. 2411 of 2014 Rajesh Kumar Karmali @ Rajesh Karmali ...... ... Petitioner Versus The State of Jharkhand ..... ... Opposite Party -------- CORAM : HON'BLE MR. JUSTICE H. C. MISHRA ------ For the Petitioner : Mr. Atanu Banerjee, Advocate For the State : A.P.P. ------ 2/ 17.11.2014
Heard learned counsel for the petitioner and learned counsel for the State.
The petitioner is apprehending his arrest in connection with C.P. Case No. 30 of 2013, for the alleged offences under Sections 37, 38 and 39 of the Air (Prevention & Control of Pollution) Act, 1981.
From the complaint petition filed by the Regional Officer, Jharkhand State Pollution Control Board, it is apparent that the factory of the petitioner was found in production in spite of the fact that the closure notice was issued to the petitioner's factory by the Pollution Control Board.
In the facts of this case, I am not inclined to grant anticipatory bail to petitioner, Rajesh Kumar Karmali @ Rajesh Karmali. Accordingly, his prayer for anticipatory bail is rejected.
( H. C. Mishra, J.) R.Kr.


Undocumented
| Function | macd |
Undocumented |
| Function | rolling_window |
Undocumented |
| Function | sma |
Undocumented |
| Function | cci |
Undocumented |
| Function | rsi |
Undocumented |
| Function | _ewma |
Undocumented |
| Function | _ewma_infinite_hist |
Undocumented |
| Function | _ema |
Undocumented |
| Function | _mad |
Undocumented |
Undocumented
Undocumented
Undocumented
| Parameters | arr | Undocumented |
| period | Undocumented | |
| alpha | Undocumented (type: Union[float, bool] ) |


This test also reveals a rendering bug in Opera: the floats are painted before their parent border.
This test also reveals a bug in WebKit. In the middle set of boxes, a block's content seems to move around one float but not all.


Laravel Elixir
Introduction
Laravel Elixir provides a clean, fluent API for defining basic Gulp tasks for your Laravel application. Elixir supports several common CSS and JavaScript pre-processors, and even testing tools.
If you've ever been confused about how to get started with Gulp and asset compilation, you will love Laravel Elixir!
Installation & Setup
Installing Node
Before triggering Elixir, you must first ensure that Node.js is installed on your machine.
node -v
By default, Laravel Homestead includes everything you need; however, if you aren't using Vagrant, then you can easily install Node by visiting their download page. Don't worry, it's quick and easy!
Gulp
Next, you'll want to pull in Gulp as a global NPM package like so:
npm install --global gulp
Laravel Elixir
The only remaining step is to install Elixir! With a new install of Laravel, you'll find a package.json
file in the root. Think of this like your composer.json
file, except it defines Node dependencies instead of PHP. You may install the dependencies it references by running:
npm install
Usage
Now that you've installed Elixir, you'll be compiling and concatenating in no time!
Compile Less
elixir(function(mix) {
mix.less("app.less");
});
In the example above, Elixir assumes that your Less files are stored in resources/assets/less
.
Compile Sass
elixir(function(mix) {
mix.sass("app.sass");
});
This assumes that your Sass files are stored in resources/assets/sass
.
Compile CoffeeScript
elixir(function(mix) {
mix.coffee();
});
This assumes that your CoffeeScript files are stored in resources/assets/coffee
.
Compile All Less and CoffeeScript
elixir(function(mix) {
mix.less()
.coffee();
});
Trigger PHPUnit Tests
elixir(function(mix) {
mix.phpUnit();
});
Trigger PHPSpec Tests
elixir(function(mix) {
mix.phpSpec();
});
Combine Stylesheets
elixir(function(mix) {
mix.styles([
"normalize.css",
"main.css"
]);
});
Paths passed to this method are relative to the resources/css
directory.
Combine Stylesheets and Save to a Custom Directory
elixir(function(mix) {
mix.styles([
"normalize.css",
"main.css"
], 'public/build/css/everything.css');
});
Combine Stylesheets From A Custom Base Directory
elixir(function(mix) {
mix.styles([
"normalize.css",
"main.css"
], 'public/build/css/everything.css', 'public/css');
});
The third argument to both the styles
and scripts
methods determines the relative directory for all paths passed to the methods.
Combine All Styles in a Directory
elixir(function(mix) {
mix.stylesIn("public/css");
});
Combine Scripts
elixir(function(mix) {
mix.scripts([
"jquery.js",
"app.js"
]);
});
Again, this assumes all paths are relative to the resources/js
directory.
Combine All Scripts in a Directory
elixir(function(mix) {
mix.scriptsIn("public/js/some/directory");
});
Combine Multiple Sets of Scripts
elixir(function(mix) {
mix.scripts(['jquery.js', 'main.js'], 'public/js/main.js')
.scripts(['forum.js', 'threads.js'], 'public/js/forum.js');
});
Version / Hash A File
elixir(function(mix) {
mix.version("css/all.css");
});
This will append a unique hash to the filename, allowing for cache-busting. For example, the generated file name will look something like: all-16d570a7.css
.
Within your views, you may use the elixir()
function to load the appropriately hashed asset. Here's an example:
<link rel="stylesheet" href="{{ elixir("css/all.css") }}">
Behind the scenes, the elixir()
function will determine the name of the hashed file that should be included.
Copy a File to a New Location
elixir(function(mix) {
mix.copy('vendor/foo/bar.css', 'public/css/bar.css');
});
Copy an Entire Directory to a New Location
elixir(function(mix) {
mix.copy('vendor/package/views', 'resources/views');
});
Method Chaining
Of course, you may chain almost all of Elixir's methods together to build your recipe:
elixir(function(mix) {
mix.less("app.less")
.coffee()
.phpUnit()
.version("css/bootstrap.css");
});
Gulp
Now that you've told Elixir which tasks to execute, you only need to trigger Gulp from the command line.
Execute All Registered Tasks Once
gulp
Watch Assets For Changes
gulp watch
Watch Tests And PHP Classes for Changes
gulp tdd
Note: All tasks will assume a development environment, and will exclude minification. For production, use
gulp --production
.
Extensions
You can even create your own Gulp tasks, and hook them into Elixir. Imagine that you want to add a fun task that uses the Terminal to verbally notify you with some message. Here's what that might look like:
var gulp = require("gulp");
var shell = require("gulp-shell");
var elixir = require("laravel-elixir");
elixir.extend("message", function(message) {
gulp.task("say", function() {
gulp.src("").pipe(shell("say " + message));
});
return this.queueTask("say");
});
Notice that we extend
Elixir's API by passing the key that we will use within our Gulpfile, as well as a callback function that will create the Gulp task.
If you want your custom task to be monitored, then register a watcher as well.
this.registerWatcher("message", "**/*.php");
This lines designates that when any file that matches the regex, **/*.php
is modified, we want to trigger the message
task.
That's it! You may either place this at the top of your Gulpfile, or instead extract it to a custom tasks file. If you choose the latter approach, simply require it into your Gulpfile, like so:
require("./custom-tasks")
You're done! Now, you can mix it in.
elixir(function(mix) {
mix.message("Tea, Earl Grey, Hot");
});
With this addition, each time you trigger Gulp, Picard will request some tea.


{% extends 'base.html' %} {% block content %}
That's it for now! We'll send you an email reminder in 3 weeks, good luck at court!


Statue of Unity will create economic activity worth $15 billion: Piyush Goyal
He said that unlike other developing countries, India can leapfrog into modern technology at a faster pace.
In an address at the 5th Global Exhibition on Services, Minister of Commerce and Industry Piyush Goyal on November 5 said that the Statue of Unity at Kevadia in Gujarat will generate an ecosystem of $15 billion annually.
Goyal said that encouraging tourism will lead to job creation and guarantee wealth. He added that it will become a great destination for people to experience.
Addressing stakeholders in the service sector, he said the country is engaging with services in an organised manner, acknowkledging that further efforts are needed.
He said that unlike other developing countries, India can leapfrog into modern technology at a faster pace.
Goyal said that the Centre plans to hold discussions in partnership with state governments to make policies enabling the services sector to grow and expand faster.Special Thursday Expiry on 10th 7th Nov
Early Closure to The Great Diwali Discount. Last Chance to get Moneycontrol PRO for a year @ Rs. 289/- only
Coupon code: DIWALI


The following in no particular order are core personal values, which I have established by talking to others and reflecting on my ideals. I believe I am an honest person. I also respect this attribute in other people, as I think that these days in this world people are quick to be dishonest. Trustworthiness is another core value. Being trusted and honest I feel are very important core values for a person to have. I'm also reliable, helpful and friendly - many people have commented to me that I'm easy going and easy to talk to. I like to be low maintenance and easy going.
This story begins once upon a time, as all good stories do, although not in a galaxy far far away, but in a city I lived in a few years ago. One friend of mine was offered a job in a cafe / takeaway, sole charge, and the owner of the business was an acquaintance of his. Not a close friend, but they often caught up for a drink and catch up. The acquaintance, Mr A for short, said to my friend that he could help himself to any food or meals as he needed, since he was often there working long days from 5am. However, this soon stretched to my friend making takeaways for all of us, our other friends which was a reasonable sized group of people. We could basically help ourself to any food in the cafe at any time. I began to wonder if the owner actually knew how much food was not being sold to customers, and how it was impacting the profit. I purposely stopped partaking of the free food, but others continued. I don't think that Mr A went into the business knowing how to run a business properly for starters, but in saying that, it could have been pointed out to him that allowing all these people to help themselves was not going to be good for profit. Given that we were just out of high school at the time, we propbably didn't think much of it. But looking back on it, the ethical decisions would involve telling the group of friends that constantly helping ourselves to the food, even though we were supposedly allowed to, would impact the business profit negatively. Telling the other people this could put you on the outter, as for some people this would seem pretty good - free food. But not stopping the free food going out could put the business under. As it turned out, the owner found the business wasn't profitable, and sold it for a loss. The lack of strictness on allowing the 'help yourself policy' would not have helped. At the time, there was very little thought given to values, or decision making. Making a good ethical decision in this instance would probably include not taking much of the free food, or none altogether, and alerting the owner to the fact that all this free food going out the doors would harm the business.
My culture is based on Christianity, and I live by the values of Christianity, in particular the traditional Catholic Faith, which includes the Mass said in Latin as it was pre the 1960's when the second Vatican council attempted to alter much of the faith.
My strengths include reliability, resiliance and creativeness. I think I have good organisational skills, and the ability to make plans, and see them through. However, I'm also open to changing the plans as progress is made. I'm hardworking and dependable, I enjoy working on my own but also work just as well as part of a team.
I often hear that inner voice telling me I can't do this, particularly if I see other people ahead of me, who seem to gave grasped a concept quicker. However, I also know that once I've understood the concept, then I can do just as well, and often better. I do like to keep things pretty relaxed and chill these days, perhaps some people might see this as not taking things serious enough.
There was a time I where I was one of a few people leading a large group. An opportunity arose that a few of us saw as beneficial for all the group. However, it would require a lot of hard work and committment over an extended period. While a few of us could see how awesome the opportunity would be, and were prepared to put in the work, there are always some in the group who will see the negatives and be resistant. (Which is also a good thing) It took a bit of convincing and hard work to get the others on board with the idea. A number of times some of us left, in a 'not so happy state' with the other people who were resistant. There really wasn't much diplomacy at the time and it could have been handled better. We found that a lot of people easily came on board with the idea anyway. But it created unnecessary tension with the others. A better way would have involved getting a core group of keen people together, and coming up with a plan, or solid direction on how the goal could be achieved, and then presenting it to everyone else and asking for feedback. This may have been a better way to bring others who might be resistant on board with the project.


Arrangements
Polar Express
Concert Suite For Percussion Ensemble
By Alan Silvestri and Glen Ballard
Arr. By Jerry Brubaker
Re-Arr. By Amanda J. Kendal-Brown - 2012
Audio
Over The Rainbow
By Harold Arlen
Arr. For South Florida Pride Steel Band
Arr. By Amanda J. Kendal-Brown - 2013


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We become what we think about

We become what we think about. –Earl Nightingale

Create a container for your text such as a

tag or

tag, and apply the text-tracking
class.  –Earl Nightingale

Create a container for your text such as a

tag or

tag, and apply a text-tracking-[number]
class such as text-tracking-15
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BAYESIAN EXPERT RESOLUTION
A DISSERTATION SUBMITTED TO THE DEPARTMENT OF ENGINEERING-ECONOMIC SYSTEMS AND THE COMMITTEE ON GRADUATE STUDIES OF STANFORD UNIVERSITY IN PARTIAL FULFILLMENT OF THE REQUIREMENTS FOR THE DEGREE OF
DOCTOR OF PHILOSOPHY
By Peter Alan Morris
May 1971


Seeking a challenging and progressive career in Information Technology and Software Engineering using my inner strengths, skills and creative thinking to gain future exposure, strengths and experiences
Apart from being a web developer, I enjoy most of my time being outdoors. In the winter, I am an avid skier and novice ice climber. During the warmer months here in Colorado, I enjoy mountain biking, free climbing, and kayaking.
When forced indoors, I follow a number of sci-fi and fantasy genre movies and television shows, I am an aspiring chef, and I spend a large amount of my free time exploring the latest technology advancements in the front-end web development world.


Sprint 1 Sprint 2 Sprint 3 Sprint 4 Sprint 5
Hi everyone, I’m Colleen Te Au. I was born in and returned to live in Gore, Southland. Don’t hold that against me haha! As a result I’m well travelled and have lived abroad. My background and skillset is in social work and community development. I value loyalty, honesty, empathy and kindness. I’m a mum to four pretty amazing kids and that keeps things real on my journey. Really real. After a nearly 20 year career in Social Services I felt it was now or never to jump on the tech train and pursue the line of work I had actually planned on doing. I’m a strong and determined person, the consummate team player and great to have in your corner when the chips are down. I’m attending EDA because I believe the skills I can learn here and networks will provide a great platform to open doors to creativity and opportunities. My dream is to be proficient enough in web development to work on my own ideas, travel and work remotely. I’m looking forward to living in Wellington for a couple of months, meeting you all, forging lifelong links and sharing on this adventure. Nga mihi nui


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--- title: Error Reporting version: "5.2" tags: - "5.2" - errorrep ---
Some of the existing E_ERROR
conditions have been
converted to something that can be caught with a user-defined error
handler. If an E_RECOVERABLE_ERROR
is not handled, it will behave in the same way as
E_ERROR
behaves in all versions of PHP. Errors of
this type are logged as Catchable fatal error
.
This change means that the value of the E_ALL
error_reporting constant is
now 6143, where the previous value was 2047. Because PHP constants have
no meaning outside of PHP, in some cases the integer value is used
instead so these will need to be adjusted. So for example by
setting the error_reporting mode from either the
httpd.conf or the
.htaccess files, the value has to be changed
accordingly. The same applies when the numeric values are used
rather than the constants in PHP scripts.
As a side-effect of a change made to prevent duplicate error messages when
track_errors is
On
, it is now necessary to return false
from
user defined error handlers in order to populate
$php_errormsg. This
provides a fine-grain control over the levels of messages stored.


Jupyter Notebooks Integration¶
Nextcode Python SDK can be used with Jupyter Notebooks and introduces %gor and %%gor magics.
If you are running a session in one of Wuxi Nextcode’s own notebook servers no installation should be required and you can skip to the next section.
Installation¶
However, if you are running your own jupyter server you can install the python sdk in your workspace.
pip install nextcode-sdk[jupyter]
Then you intialize the extension in your notebook after you have received an API key for the server. You will also need a project name that your user account has access to.
%env GOR_API_KEY=****
%env GOR_API_PROJECT=****
%load_ext nextcode
Gor magic extension has been loaded. You can now use '%gor' and '%%gor' in this notebook
* Python SDK Version: 0.1.6
* Query API Version: 1.9.0
* GOR Version: 9.4-SNAPSHOT (git SHA 8fc327bb08282d02f9e987e11c4073e64ec77677)
* Root Endpoint: https://test.wuxinextcode.com/api/query/
* Current User<EMAIL_ADDRESS>Getting Started¶
Now magic syntax should be available. Try it out:
%gor gor #dbsnp# | top 2
Chrom pos reference allele rsids
0 chr1 10020 AA A rs775809821
1 chr1 10039 A C rs978760828
The magic commands return a pandas dataframe object which by default prints out to console and is available through _. You can also assign it directly to a variable
var = %gor gor #dbsnp# | top 2
var
Chrom pos reference allele rsids
0 chr1 10020 AA A rs775809821
1 chr1 10039 A C rs978760828
… etc.
Please see the included Example Jupyter Notebook page for more examples.


Methods
(inner) TallyLabIAM() → {TallyLabIdentities}
This module exposes a single function as the entry point for TallyLabIAM. The function
takes a nacl instance (created via nacl_factory.instantiate
) and returns an object containing
a TallyLabIdentityProvider object and a TallyLabAccessController object.
Additionally, since linking to Orbit requires both usage and configuration of the Orbit-internal AccessController and Identities object, this function handles the linking and returns the aforementioned objects as well, in their modified state.
- Source:
- See:
Returns:
See type definitions below
- Type
- TallyLabIdentities
Example
nacl_factory.instantiate((nacl) => {
iam = new TallyLabIAM(nacl)
})
Type Definitions
TallyLabIdentities
Type:
- Object
Properties:
| Name | Type | Description |
|---|---|---|
TallyLabIdentityProvider |
TallyLabIdentityProvider | Identity via NACL keypairs |
Identities |
external:orbit-db-identity-provider | Identities helper class from Orbit |


It is totally frustrating that we always have to redo all the great plugins after an update of Blog/BBLog.
Please save them on my Computer and reload them after updates.
ORFK
Global Moderator
if you would use the export/import function from BBLog this wouldn't happen ;-)
Post edited 1 x times, last by
Amkhatar
Theme Developer
Amkhatar
Theme Developer
Not only plugins...all settings disappears with the update to 3.1.1
This thread should be moved to bug section
Post edited 1 x times, last by
Prisma
Topicstarter
Prisma
ORFK wrote:
if you would use the export/import function from BBLog this wouldn't happen ;-)
I did, but before there was an update from the glorious DICE and they missed to inform me that would happen ;-)
Also the Radar-Lists were empty.
ORFK
Global Moderator
Updates from DICE or maintenance downtimes from Battlelog have no impact of saved BBLog settings in your browser. but if your last server settings are resetted it is. DICE and Battlelog have no access to your own plugin / radar list, so they can't change anything.
Post edited 1 x times, last by
BrainFooLong
Administrator
BrainFooLong
Administrator
This problem is annoying i know.
DICE/EA have nothing todo with it when your BBLog settings are lost, just for clarification.
99% of BBLog user's doesn't have this problem, that settings lost when a new update is released.
I know that happens for some people, randomly.
Can you tell me how you updated BBLog and for which browser?


You might ask what do all three of these have in common, well it
is they are all hear at Staniel Cay in the Exumas and we have
been swimming with/near all of them. Now I am not sure
which is more dangerous to swim with, the nurse shark who really
is very gentle of the pigs who really are looking for free food
and you just might get in their way of it. The Thunder
ball Grotto, a cave, is a hollowed-out island where James Bond
movies "Thunderball" and "Never Say Never Again" as well as
"Splash" were filmed was not all that scary.
We have been slowly making our way south through the many Exumas
islands, which consists of over 360 cays (islands). You
can not walk on all of them, the approach is too tough, you can
not find way to climb on to them, or they are private.
Several rich folks have been able to buy the entire island so
they are some what off limits for us cruisers. That's ok
because there are more than enough public islands for us to
anchor by and play on. The Exumas also have a National
Park on several of the islands so fishing and taking conchs are
off limits. We had our first conch salad and fritters the
other day, a bit flavorless but you could not beat the adventure
of hunting, cleaning, and then the other
Dean
outside Thunderball cave - much more impressive inside
boat prepared them.
Ok so the hunting just involves snorkeling around looking for
ones that have a curled lip, that means they are big enough to
keep.
Dean tried making white bread the other day.
Making bread really is not that hard but if the yeast gets too
warm in this nice sunshine, they really don't rise up all that
well.
While in the Exuma park we snorkeled on some nice caves, one
with stalagmites and stalactites. We were able to snorkel
in one, and climb out onto "dry" land inside which was cool.
We also went and put our boat name marker on BooBoo Hill which
is known by cruisers. If you pass by, you make a marker
out of driftwood and leave it on the hill.
On the same hill, were some blow holes, which sent up quite a
gust of air, Kris and Derek were able to cool off quite a bit by
standing by the holes.
As to the pigs, none of us swam with them. They are quite
large and aggressive if they think there is food for them -
which they always think. They must be upwards of 600 lbs,
and have large cloven hooves, which could do some real damage if
they decided you had food. They swim fast as well - can
you tell that I am suggesting that swimming with pigs is a bad
idea - which we discovered once we saw them and experienced them
swimming to the dink and begging for food.
Thunderball cave is really cool. We took some food and fed
the fish some stale cheese crackers. Derek held the
cracker in his had and it was like a feeding frenzy of about 100
yellow and black damselfish. We couldn't get the fish to
leave us alone after that, they followed us all through the
cave. We really need to get a waterproof camera!


Try out our Premium Member services: Virtual Legal Assistant, Query Alert Service and an ad-free experience. Free for one month and pay only if you like it.
In the High Court of Judicature at Madras Dated: 24.02.2015 Coram: The Honourable Mr. SANJAY KISHAN KAUL, Chief Justice and The Honourable Mr. Justice M.M. SUNDRESH Writ Petition No. 7632 of 2009 and M.P.No. 1 of 2009 A. Latchathipathi .. Petitioner vs. 1. The Tamilnadu Pollution Control Board rep. by its Member Secretary Chennai District, Panagal Maligai I Floor, D Wing, No.1, Jennis Road Saidapet, Chennai 600 015. 2. Corporation of Chennai rep. by its Commissioner Ripon Buildings Chennai 600 003. 3. The Chennai Metropolitan Development Authority rep. by its Member Secretary Thalamuthu Natrajan Maligai Chennai 600 008. 4. Hindu Religious & Charitable Endowments Board, rep. by its Commissioner 119, Uthamar Gandhi Salai Nungambakkam, Chennai 600 034. 5. M/s. Pipare Tubus Fabricare Ramakrishna Puram Villivakkam, Chennai 600 049. 6. M/s. Sri Balaji Brighteners Ramakrishna Puram Villivakkam, Chennai 600 049. 7. M/s.Ramacharan Company Ramakrishna Puram Villivakkam, Chennai 600 049. .. Respondents --- PRAYER: Writ Petition filed under Article 226 of the Constitution of India praying to issue a Writ of Mandamus to direct the first respondent to issue directions for closure and stoppage of power supply to all industries in the area including the Fifth, Sixth and Seventh Respondent Units, under Section 31A of the Air (Prevention and Control of Pollution) Act, 1981, and direct the first to fourth respondents to proceed against the fifth respondent unit so as to ensure implementation and compliance with the Order 08.05.07 issued by the first respondent and remove the fifth respondent Unit from its present location in the interest of the residents of the area and the public in general. --- For Petitioner : Mr. T. Mohan For Respondents : Mrs. Rita Chandrasekaran for R1 Mr. K. Soundararajan for R2 Mr. N. Sampath for R3 Mr. S. Kandaswamy Spl. Govt. Pleader for R4 Mr. P. Sivamani for R5 No Appearance for R6 & R7. --- O R D E R
(Made by The Hon'ble The Chief Justice) In view of the nature of relief claimed, the matter is transferred to the National Green Tribunal, to be listed on 30.03.2015.
2. The petition accordingly stands closed qua proceedings before this Court. No costs. Consequently, M.P. No.1 of 2009 is also closed.
Index : yes/no [S.K.K., CJ] [M.M.S., J.] Internet: yes/no 24th February, 2015. ATR Copies to;
1. The Member Secretary Tamilnadu Pollution Control Board Chennai District, Panagal Maligai I Floor, D Wing, No.1, Jennis Road Saidapet, Chennai 600 015.
2. The Commissioner Corporation of Chennai Ripon Buildings Chennai 600 003.
3. The Member Secretary Chennai Metropolitan Development Authority Thalamuthu Natrajan Maligai Chennai 600 008.
4. The Commissioner Hindu Religious & Charitable Endowments Board 119, Uthamar Gandhi Salai Nungambakkam, Chennai 600 034. THE HON'BLE THE CHIEF JUSTICE and M. M. SUNDRESH,J.
ATR W.P. No. 7632 of 2009 24.02.2015


Paragraph A emphasized text a lot of other nonsens. This paragraph spans
several lines and so
it should. And here is a small bit of code and another one with a bit of formula: .
Paragraph B
Header Level 2
Paragraph C
Alpha
Definition A
Definition 1
Beta
Definition B
Paragraph D
Header Level 3
Paragraph E
Paragraph F
First Header in New Chapter
Another paragraph.
And a paragraph within a section.
Another section.
Another Chapter
Header in subdocument
This is the paragraph imported from the subdocument.


Super Mario Mario
Yes, his last name is Mario.
Here is a timeline of Mario's Major appearances over the years.
- 1985 - Super Mario Bros.
- 1988 - Super Mario Bros 2 & 3.
- 1990 - Super Mario World.
- 1993 - Super Mario All Stars.
- 1995 - Super Mario World 2: Yoshi's Island.
- 1996 - Super Mario 64.
- 1999 - Super Mario Bros. Deluxe
- 2007 - Super Mario Galaxy.
- 2011 - Super Mario 3D Land.
- 2013 - Super Mario 3D World.
- 2019 - Super Mario Maker 2.
"It's a-me, Mario!"
-- Mario Mario


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name: Treasury Entity Reference
title: Treasury Entity Reference
order: 80
published: true
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---
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Overview
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All Classes
Class Summary
Class
Description
AreaQuantity
AreaQuantityTest
AreaUnit
BaseUnit
<
Q
extends
Quantity
<
Q
>>
Building blocks on top of which all others units are created.
BinaryPrefixTest
CalcTripLength
CircleInfo
CircleInfo
Conversions
ConverterTest
DimensionTest
DistanceQuantity
DistanceQuantityTest
DistanceUnit
ExceptionsTest
FormatServiceTest
Tests for
FormatService
.
MeasurementParseTest
Measurement Format Tests
MetricPrefixTest
MultiplyConverter
This class represents a converter multiplying numeric values by a constant scaling factor (
double
based).
QuantityFormatTest
ServiceProviderTest
Tests for
ServiceProvider
.
SimpleTestUnitFormat
Provides a simple interface for formatting and parsing
units
.
SpeedUnit
TemperatureQuantity
TemperatureQuantityTest
TemperatureUnit
TestConverter
Test class for our
UnitConverter
implementations.
TestConverter.Pair
This class represents converters made up of two or more separate converters (in matrix notation
[pair] = [left] x [right]
).
TestQuantities
Singleton class for accessing
Quantity
instances.


Toggle navigation
15-388/688 Practical Data Science
Tutorials
CMU 15-388/688, Fall 2016
Practical Data Science
Tutorials
Stats/Probability
0. Statsmodels
49. Statsmodels_Tutorial
Big data
1. Applications of Map Reduce
74. MapReduce on AWS
Data structures / Programming models
2. Searching in a Large database Of Chemical Fingerprints using M-trees
7. PySpark Tutorial
9. Document-Oriented Database and MongoDB Tutorial
Algorithms
3. PyAlgoTrade
10. mcmc
12. Bayes Networks: Less Naïve Bayes
19. Find-S
20. PageRank Tutorial
26. Frequent Itemset Mining
31. Topological sort
47. Digital Signal Processing
55. PCA
72. Feature Selection
73. Monte_Carlo_Simulation_Tutorial
75. Feature Selection Tutorial
79. PCA
82. Apriori_Algorithm
175. K-Nearest Neighbors Algorithm and Its Application
94. K nearest Neighbors
118. Linear Regression Take 2
Clustering
163. A tutorial on Clustering using DBSCAN
157. K Means
146. KMeansClustering
184. K-Means & Bisecting K-Means Clustering Tutorial
186. Tutorial_kNN
178. Tutorial_K-means-Copy1
15. Anomaly_Detection_Tutorial
17. KMeansTutorialFinal
22. DBSCAN
25. k-means clustering tutorial
44. K-Means Clustering Tutorial
56. K-Means clustering for Color Quantization and Image Segmentation
80. Clustering
Ensemble Methods
4. Random Forests
11. Random_Forest_Tutorial
46. Tutorial - Model Ensemble in Python - by Emilio Esposito
88. random_forest
197. random_forest
APIs / Scraping
8. How To Retrieve Unstructred Web Data In a Structured Manner with Riko
14. scottylabs_dining_api_tutorial
71. Twitter Data Mining and Account Access
96. Asynchronous Scraping
125. scrapy
100. Scrapy
156. scrapy_tutorial
35. Scrapy Tutorial
Applications / Data analysis
6. Live Analysis of Performance in Cricket Matches
13. StockMarketAnalysis_Tutorial
27. Music Information Retrieval
28. Data management / pipeline
32. poetry_tutorial
37. Analyzing and Predicting Boston house pricing
54. NBA Data Extraction & Visualization
59. Who voted what? - A dive into the Colombia's peace plebiscite outcome
63. Analysis of Coauthorship between Scientists and Authors
67. Analyzing Primary Results of US Presidential Election 2016
91. Hangman
93. craigslist
104. Earthquake data
110. IMDb
116. Data Analysis in Reactor Design
123. Boston Housing Market
124. AirBnB
132. Trading Equities: Data Analysis and Algorithm Development
133. Working-with-Real-Estate-Data
148. Audio_AnalysisNO_AUDIO
177. Methods for processing the publication data
185. How to use GPS data
187. Estimating marketing ROI using MCMC
205. Million Song Database Tutorial
Neural Networks
16. Neural networks implementation through back propagation
48. Neural Network
53. Neural Networks
65. Recurrent Neural Networks
120. Neural Networks and beyond
121. Convolutional_Neural_Networks_final
111. Deep Learning on Image Processing Vannila Version and AlexNet
113. Image Recognition Using Convolutional Neural Network
115. Classifying MNIST Images by Deep Network in Google TensorFlow
122. Face Recognition with ANN
134. Neural Networks and PyBrain
192. Digit_Recognizer-A_Deep_Learning_Approach
200. DL with TensorFlow
202. neural_network
165. Neural Networks
180. theano_basics_tutorial
150. neuralnets
152. RNN
153. adversarial_autoencoder
143. Breast Cancer Classification through Deep Learning in TensorFlow
90. Tensorflow
142. introduction_to_tensorflow
151. tensorflow_tutorial
196. Introduction to Keras
Natural Language Processing
18. SENTIMENT ANALYSIS OF MOVIE REVIEWS USING THE NLTK PACKAGE
21. Word2vec in TensorFlow
33. NLP and Facebook Messages
89. Speech Analytics Model by VERINT
98. The Zipf Mystery
128. Word2Vec Tutorial
201. TextRank Tutorial
191. Wikipedia Parser
193. sentiment_analysis
183. spell-correction
170. Distributed document retrieval based on tf-idf
154. Trendy Topic Analysis
162. word2vec
144. Latent Dirichlet allocation
77. Topic Detection with Latent Dirichlet Allocation
109. Intro to Statistical Topic Modeling and Latent Dirichlet Allocation
114. LDA
103. Sentiment Analysis (Using Yelp Review Data)
30. nltk
112. NLTK_Tutorial
140. Markov Chain Text Generator
206. Keyword Extraction
Spark
190. Big Data Analytics with Spark
203. spark
168. Spark Tutorial
138. pyspark
78. PySpark
Visualization
5. Fun with Funnels
58. Visualization tutorial
131. Plotly visualization tool
34. Plotly Tutorial
81. Altair Viz A Visualization library for python
198. Interactive_visualization
188. R_ggplot
176. ggplot
158. Tools for visualization
139. Using Bokeh to Visualize NBA Stats
172. bokeh
159. BokehTutorial
179. BokehLibraryTutorial
99. Bokeh Tutorial
126. bokeh
68. ggplot_tutorial
43. BokehTutorial
Recommendation/Collaborative Filtering
38. Recommendation
57. Neighborhood-Based Collaborative Filtering
119. Collaborative Filtering
182. Collaborative Filtering for recommendation systems
169. Recommender system - Collaborative filtering
Graphs and Networks
181. Algorithms for maximum flow
39. community_detection
24. Minimum-Spanning-Trees
85. Graphs
95. How to Measure the Strength of Ties between Nodes?
199. Network Analytics with NetworkX
195. GraphLab in Python
189. Ego Networks
135. Facebook Graph API
147. Shortest Path Algorithms and Comparisons
136. Graphlab for Python
23. NetworkXTutorial
97. SNAP Tutorial
117. Graphlab
83. Social Network Analysis Tutorial with SNAP
204. Cypber and Graph Databases
Reinforcement Learning
130. Reinforcement Learning
164. Q-Learning Tutorial
76. Reinforcement Learning
Image Processing/Retrieval
66. image_processing_tutorial
174. Reverse Image Search System
106. skimage-tutorial
Misc Library How-tos
194. boto_tutorial
29. Quandl API
36. Regex
41. Keras Tutorial
42. Image Processing and OpenCV
45. Gensim
50. healpy_tutorial
52. gis
60. lxml
61. How_to_use_csvkit
62. Pybrain tutorial
64. Geospatial Data Processing with PyGDAL and Folium
69. Introduction to Scipy for Linear Algebra
70. Optimizing Performance Using Numba & Cython
84. Dynamic Maps with Folium
86. Google Cloud
87. Pattern library
92. XGBoost
101. spaCy
102. numpy_tutorial
105. d3_js_introduction
107. Spark_with_Application_in_KMeans
108. ID3
127. PyBrain and Iris
129. Pattern_tutorial
137. Using Boto3 to Share Data Between Python and AWS S3 Buckets
Other
40. causality
51. Tutorial Forecasting (1)
145. Murphy_MCMC
149. Dealing With Missing Data
155. facebook_page_classification
160. Computational Mathematics
161. reservoir_sampling
166. ElementTree XML Tutorial
167. Volatility Forecasting with GARCH/ISD
171. PredictionIO
173. Markov Chain Win Prediction


Cdiscount price parser
Python package capable of raising the price
of any product on the site
cdiscount.com
Generate the price


Late Lydia Thompson try seals England victory over France
by By Online EditorsLydia Thompson’s last-minute try saw England beat France 17-15 in Exeter on Saturday.
The visitors led through a Jessy Tremouliere penalty and Laure Sansus’ try before Emily Scarratt kicked six points from the tee to reduce England’s deficit to 8-6 by half-time.
The boot of Scarratt put the Red Roses in front with two more penalties, but France looked to have won it when Caroline Boujard crossed for a simple try after 67 minutes.
Both sides were reduced to 14 players, with Zoe Aldcroft receiving a yellow card for a neck roll at the breakdown, before England capitalised on a poor clearance kick and set up Thompson to seal the victory.
The match in pictures:


CHAPTER 507D
NONCONSENSUAL COMMON LAW LIENS AND FRIVOLOUS
FINANCING STATEMENTS
Section
507D-1 Findings and purpose
507D-2 Definitions
507D-3 Scope of chapter
507D-4 Contesting validity of recorded instruments;
injunctions
507D-5 Requirement of certified court order
507D-6 Filing a notice of invalid lien
507D-7 Expungement of invalid lien; penalties; sanctions for
frivolous filings
Note
Chapter heading amended by L 2002, c 145, §2.


@JvmStatic fun createVisaCheckoutParams(callId: String): SourceParams
Create parameters needed to make a Visa Checkout source.
callId
- The payment request ID (callId) from the Visa Checkout SDK.
Return
a SourceParams object that can be used to create a Visa Checkout Card Source.


Pet Tracker
The GPS data will update automatically. The Battery Levels only update on connection, to reduce data usage.
GPS Data
Enter your Device ID and Access Token to connect.
Battery Levels
Device ID:
Access Token:
Access Token:


Two converters that are not enabled by default are the Bean and Object converters. They will convert Java Beans and POJOs to and from JavaScript objects. These converters are not enabled by default because DWR makes sure that is has permission before it exposes any of your classes.
The Bean converter will expose properties on your classes based upon getters and setters. The Object converter is similar except that it works on data members directly. All classes need to be concrete and have a default constructor, though non-concrete types (interfaces and abstract classes) may be used as method arguments when using the class mapping feature described later on this page. All the examples below work using 'object' in place of 'bean' to use direct member access.
Security note: If you are enabling conversion of a bean that has a constructor or setter that has some nasty side effects, then it would be possible for an attacker to take advantage of this side effect as the constructor and setters are executed during the DWR incoming data conversion.
You can enable the bean converter for a single class using the following:
<convert converter="bean" match="com.example.Person"/>
To allow conversion of any class in the given package:
<convert converter="bean" match="com.example.*"/>
To allow conversion of any class in the given package and all sub-packages:
<convert converter="bean" match="com.example.**"/>
Beans converted using the BeanConverter need to follow the JavaBeans spec because the converter uses Introspection and not Reflection. This means things like having properly named getters and setters where there is a single parameter to the setter which matches the return type of the getter. The setter should return void, the getter should not have any parameters and there is no overloading of setters. Mostly this is common sense, but it does trip some people up. If your class does not follow the Java Bean specification then you need the ObjectConverter.
Apart from converting Java objects into JavaScript objects (aka maps, aka associative arrays) when returning data to the browser, DWR will convert Javascript objects into Java objects when making calls from the browser.
A quick example may help. Suppose you have the following Java code:
public class Remoted { public void addToFriends(Person p) { // ... } } public class Person { public void setName(String name) { ... } public void setAge(int age) { ... } // ... }
If Remoted
was configured as a Creator, and Person
is convertable using the BeanConverter, then you can
make the call from JavaScript as follows:
var p = { name:"Fred", age:21 }; Remoted.addToFriends(p);
Just as you have exclude and include for creators to instruct DWR to exclude methods, there is a similar system for converters.
Since restricting property conversion only makes sense for Beans (clearly primitive types don't need restrictions on conversion of their properties) this functionality is specific to BeanConverter and anything that inherits from it (like HibernateBeanConverter)
The syntax is:
<convert converter="bean" match="com.example.Person"> <param name="exclude" value="property1, property2"/> </convert>
Please note that exclusion/inclusions are based on the property name not the accessor method (getter/setter)
This will ensure that DWR does not call Person.getProperty1()
and
Person.getProperty2()
. Alternatively if you prefer to white-list rather than black-list you can do the following:
<convert converter="bean" match="com.example.Person"> <param name="include" value="property1, property2"/> </convert>
Good security design commonly involves white-listing rather than black-listing.
In addition to the parameters above the 'object' converter has a force parameter that instructs DWR to use reflection modifiers to access private members of objects.
The syntax is:
<convert converter="object" match="com.example.Person"> <param name="force" value="true"/> </convert>
Sometimes it is desirable to preserve the type (or sub-type) of Java objects
returned from the server. This is possible by having DWR map Java classes to
corresponding JavaScript classes. This is done by adding a javascript
attribute to the convert
element, naming the desired JavaScript class name:
<convert converter="bean" match="com.example.Person" javascript="Person"/>
Typically this feature is used with class hierarchies, so given the Person class from above we could do:
Java:
public class Employee extends Person { public void setEmployer(Employer emp) { ... } // ... }
dwr.xml:
<convert converter="bean" match="com.example.Employee" javascript="Employee"/>
Given the above declarations we can now make use of the feature from JavaScript:
var person = ... // get an Employee from the server person instanceof Employee // true Remoted.addToFriends(person);
The code will result in p being assigned a JavaScript object instantiated from a
generated JavaScript class 'Employee', thus the instanceof
test will return the
expected result. Also, when sending the object back to the server in the outlined
method call, the type will be preserved so a Java Employee object will be created
on the server side instead of a Person object, which would have been the normal
behaviour based on addToFriends' argument type.
It is also possible to create new instances from client code in the browser:
var person1 = new Person(); var person2 = new Employee();
All of this is possible because by default DWR will add the JavaScript types for each mapping to every interface proxy script - see this page for more configuration options.
It is worth noting that DWR sets up inheritance between generated JavaScript
classes, so instanceof
tests will produce the expected results:
person1 instanceof Person // true person1 instanceof Employee // false person2 instanceof Person // true person2 instanceof Employee // true
In the examples above DWR generates code in each generated interface script to allow the mapped types to be used from your JavaScript code. In certain situations this may not be ideal (you have many mapped classes and do not want each interface script to have additional code) or required (you do not need to use the types from your JavaScript code). In these cases you can use DWR's lightweight mapping ability. First you need to configure DWR so it does not add the mapped classes to the interface scripts. This can be done with the following init-param (specified in web.xml):
<init-param> <param-name>generateDtoClasses</param-name> <param-value></param-value> </init-param>Next you need to set the $dwrClassName property on the JavaScript you are passing to your DWR remoted function:
var employee = { name: "Ralph", $dwrClassName: "Employee" }; Remoted.addToFriends(employee);Keep in mind that lightweight mapping also requires the "javascript" attribute to be set on your converter - see Mapping Java classes to JavaScript classes.
The class mapping feature may also be used with interfaces and abstract classes. Note though that a remoted method's argument types always have to be enabled for conversion, even when these types are non-concrete classes, otherwise DWR will not allow the data to pass through.
The generated JavaScript classes are classic JavaScript prototype definitions that are included in every generated interface file. Thus, you do not have to include any additional files to benefit from the JavaScript classes but you may want to limit the number of classes you enable for class mapping as their definitions may be downloaded multiple times (once for each interface file).
The javascript attribute of a converter will allow the * and ** wildcards. The * will map to the matched classes simple name while ** will be mapped to the fully qualified named. A few examples may help illustrate this feature:
<converter type="bean" match="model.BeanA" javascript="*" />Resulting JS identifier: BeanA
<converter type="bean" match="model.BeanA" javascript="**" />Resulting JS identifier: model.BeanA
<converter type="bean" match="model.BeanA" javascript="foo.bar.*" />Resulting JS identifier: foo.bar.BeanA


From working with semiconductor testing machines, writing software, to making lots of commercial products, I have gathered many years of experience in full product development life cycle.
Developing a product is not as easy as it seems, from designing and selecting the right component at the right price and right time requires a lot of discipline, dedication and patience. One single two cents component shortage will lead to the delay of the project launch. Ten days of public holiday at the manufacturing plant will either caused months of delay or increase of production cost if the product is to be made elsewhere. Sometimes, even over engineered software tool used in the development will lead to failure of a whole project.
That is why I nitpick on every bits and bytes in my projects so that they will stand a fair chance of being a successful project. I also focus a lot on simplicity by making error-prone complex processes simple and practical as I believe in anything that can go wrong, will go wrong.
A designer knows he has achieved perfection not when there is nothing left to add, but when there is nothing left to take away.
Specifications and requirements gathering, ensuring client's expectation is achievable.
Schematic, PCB and coding concepts. Functional checking with visual simulation.
Raw materials procurement, sample assembly, optimising, debugging and testing. Client's feedback.
Launch preparation, coordination of final production locally or overseas.
Feel free to contact me to provide some feedback on my work, give suggestions for new project ideas, or to just say hello!


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The following applies to both LaTeX 2.09 and LaTeX2e.
There are four styles used in typesetting math formulas which affect the size and certain formatting parameters (notably the placement of sub and superscripts on variable size symbols).
All four of these may be used in math mode as declarations to force the type size and formatting to a style other than what would normally be used.
For example, to get a superscript that is the same size as the running text:
$e^{\textstyle -E/kT}$
As another example, the limits on a summation symbol are normally placed below and above the symbol in display style and in normal sub and superscript position in textstyle. One could force the below/above placement in running text by using:
\displaystyle $\sum_{n=0}^\infty x_n$
although it should be noted that this might cause LaTeX to leave extra space between the text lines which might not be desirable.
The regular type style declarations can be used in math mode. They affect only letters (including upper case Greek letters) but not symbols (or lower case Greek letters). Two additional style declarations which can be used only in math mode are
The former is math italic style; it spaces letters as if they were words, however, not as if they were each separate math symbols. The latter produces upper case calligraphic letters.
The following commands change the style only of letters, numbers, and uppercase Greek.
All of these produce spacing appropriate for text; they do not interpret each letter as a separate math symbol.
The \boldmath declaration causes everything (including symbols) in a formula to be in a bold font. Note that this differs somewhat from the same declaration in 2.09 which did not affect some symbols.
Related topics
Return to LaTeX Table of Contents


Math/Stat Virtual Tea
Mount Holyoke College
The virtual seminars (mostly) take place on
Thursdays 3:15PM - 4:30PM EST
To register for our events and get recorded videos of the past events, kindly email
Sheila Heady, our department coordinator<EMAIL_ADDRESS>If you would like to speak at our seminar, or suggest a speaker, please contact the
tea organizers:
Alanna Hoyer-Leitzel<EMAIL_ADDRESS>Shan Shan<EMAIL_ADDRESS>Derek Young<EMAIL_ADDRESS>Check out more information and resources from the department at:
https://www.mtholyoke.edu/acad/math


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BOYS ON THE SIDE A film review by Joan Ellis Copyright 1995 Nebbadoon Syndicate
Take a bunch of traditional elements, add a 90s twist, give it a shake, and you have BOYS ON THE SIDE. It is a road movie with a love affair, an illness, and relationship problems, but this time around the disease is AIDS, and the love affair is between two women. The good news is that the first half of the movie is played for laughs and gets them.
 During the long drive to Tucson, their personalities bubble up in comic conflict. The rational, orderly, sensible Robin appears to be, but of course isn't, a Donna Reed retread whose favorite road songs are Carpenter hits. Jane is a rock singer who has seen enough of life to be relaxed and flexible about whatever comes her way.
The odd couple is joined at the last minute by Holly, who jumps aboard with nothing in hand but a flirtatious spirit that is ignited by every man she meets. She's all attitude with platinum hair and bright red nails, and she's thoroughly incorrigible. Together they make crazy, zany, flaky fun on the kind of journey that washes even the most conservative of women in a freedom that only the open road can offer.
The problems start when the road trip ends. Once in Tucson, the movie shifts abruptly to a leaden focus on the serious problems each has brought from her old life. It turns sad. The sad side of comedy is usually implicit and doesn't need to be hammered home as it is here. Director Herbert Ross lets sweetness turn to melodrama.
As long as it stays on the wacky periphery of the American highway culture, it's a good time. Enjoy the airplane sitting in a suburban backyard. And be grateful that, just as we feel the movie slipping away, Ross whips us back up, mercifully, with Holly's exactly right love affair with a straight cop, who is thrilled she is pregnant with another guy's child.
The performances save the movie. Whoopi Goldberg makes the most of her wise tolerance for the foibles of others, wringing many of the laughs from her reactions to the antics of her friends. Mary-Louise Parker lights up a fairly grim role with some inspired kidding around on the road, rising to full flower as the mediator of a comically horrible fight between the cretin and the flirt.
Drew Barrymore has a true comedian's enviable ability to telegraph what's coming without overdoing it, greatly prolonging the fun. She is delightful as the thickheaded, sweet-spirited flirt. If you want an hour of good laughs against a landscape of 90s dilemmas, then this one's for you. It is surely weakened by the final melodrama, but it still beats staying home to pay the bills.
Studio: Warner Bros. Rating: R 1h57m
-- Permission is granted free of charge to quote Joan Ellis reviews for any promotional, editorial, or critical use provided credit is given: Nebbadoon Syndicate -- JOAN ELLIS
Please send information regarding reuse to<EMAIL_ADDRESS>or 393 Hanover Center Road, Hanover Center, Etna, NH 03750 Tel<PHONE_NUMBER>, Fax<PHONE_NUMBER>
The review above was posted to the
rec.arts.movies.reviews newsgroup (de.rec.film.kritiken for German reviews).
The Internet Movie Database accepts no responsibility for the contents of the
review and has no editorial control. Unless stated otherwise, the copyright
belongs to the author.
Please direct comments/criticisms of the review to relevant newsgroups.
Broken URLs inthe reviews are the responsibility of the author.
The formatting of the review is likely to differ from the original due
to ASCII to HTML conversion.
Related links: index of all rec.arts.movies.reviews reviews


As of 2018, WebSocket support in browsers is nearly ubiquitous. Please check https://caniuse.com/#feat=websockets. Depending on your user base you can skip this page.
You can use SockJS to support browsers that do not natively support WebSockets.
You would need to consider the following:
ws:
/wss:
) and SockJS (http:
or https:
).It is advised to use WebSockets by default and then fall back to SockJS.
const client = new StompJs.Client({
brokerURL: "ws://localhost:15674/ws",
connectHeaders: {
login: "user",
passcode: "password"
},
debug: function (str) {
console.log(str);
},
reconnectDelay: 5000,
heartbeatIncoming: 4000,
heartbeatOutgoing: 4000
});
// Fallback code
if (typeof WebSocket !== 'function') {
// For SockJS you need to set a factory that creates a new SockJS instance
// to be used for each (re)connect
client.webSocketFactory = function () {
// Note that the URL is different from the WebSocket URL
return new SockJS("http://localhost:15674/stomp");
};
}
client.onConnect = function(frame) {
// Do something, all subscribes must be done is this callback
// This is needed because this will be executed after a (re)connect
};
client.onStompError = function (frame) {
// Will be invoked in case of error encountered at Broker
// Bad login/passcode typically will cause an error
// Complaint brokers will set `message` header with a brief message. Body may contain details.
// Compliant brokers will terminate the connection after any error
console.log('Broker reported error: ' + frame.headers['message']);
console.log('Additional details: ' + frame.body);
};
client.activate();
Compare the above against the sample in [../usage.html], only addition is the fallback code trying to use SockJS if WebSocket is unavailable. You will need to include latest https://github.com/sockjs/sockjs-client in your web page.


Psalms 86:13
For great is thy mercy toward me: and thou hast delivered my soul from the lowest hell.


Main page of the documentation for unit tb_mod. A number of links are used to reference the documentation of this unit and the simulation results and some statistics. The unit tb_mod contains a number of modules which can be useful for any VP modeling. Those modules are build on top of ISCTLM base classes. The testing contains both functional tests as well as performance tests. The performance test iterate over different design parameters in order to judge their impact.


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20 dirtiest teams in the country - and which 20 clubs are the cleanest?
Analysis of disciplinary records over the last decade has discovered which club has the worst discipline in English football
by David Dubas-Fisher, https://www.mirror.co.uk/authors/david-dubas-fisher/Accrington Stanley are the surprise winners of a league of shame showing England's dirtiest team - but where do you side figure?
Clubs such as Leeds United and Millwall have long held reputations for being “dirty”.
But new Mirror Sport analysis of disciplinary records over the last decade suggests that it’s Accrington Stanley who have the worst discipline in English football.
The Lancashire club have picked up 52 red cards in 429 league games over the last 10 seasons.
That works out as one every 8.3 matches.
No club to have played in the top four divisions of English football in each of those campaigns has had players sent off more regularly.
Peterborough have the next worst record at one red every 8.6 games.
Southend come next with one every 8.8 games, then Sunderland (8.9 games), Northampton (9.1 games), Stevenage (9.3 games) and Brighton (9.7 games).
“Dirty Leeds” have only the joint 11th worst record with one red every 10.0 matches.
When it comes to fair play, Derby County top the league.
The Rams have only seen red 17 times in 428 matches, the equivalent of one every 25.2 matches.
Burnley have the next best record with one red every 21.8 games.
The Clarets are followed by Cardiff (one every 21.7 games), Exeter (21.5), Bournemuth (20.6) and Crewe (19.5).
Top 20 dirtiest teams
Team/Games per red card
Accrington Stanley/8.3
Peterborough United/8.6
Southend United/8.8
Sunderland/8.9
Northampton Town/9.1
Stevenage/9.3
Brighton & Hove Albion/9.7
Queens Park Rangers/9.8
Watford /9.8
Nottingham Forest/9.9
Carlisle United/10
Leeds United/10
Shrewsbury Town/10
Milton Keynes Dons/10.2
Oldham Athletic/10.2
Swindon Town/10.2
Newcastle United/10.3
Charlton Athletic/10.7
Rochdale/10.7
Portsmouth/10.9
Top 20 cleanest teams
Team/Games per red card
Derby County/25.2
Burnley/21.8
Cardiff City/21.7
Exeter City/21.5
AFC Bournemouth /20.6
Crewe Alexandra/19.5
Doncaster Rovers/19.4
Brentford/18.6
Ipswich Town/18.6
Swansea City/18.6
Liverpool /18.5
Tottenham Hotspur/18.5
Coventry City/17.2
Bristol City/17.1
Manchester United /16.8
Walsall/16.5
Hull City/16.2
Colchester United/15.9
Crystal Palace /15.7
Norwich City/15.7


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Listed alphabetically by Last Name.
To Email<EMAIL_ADDRESS>Arvind Ayyer, Ph. D. (Rutgers)
Assistant Professor |
Probability, Combinatorics,
Statistical Mechanics,Mathematical Physics,
Experimental Mathematics |
|
| [P] +91-80-2293 3215 |
UserID : arvind |
|
http://math.iisc.ac.in/~arvind |
| |
Abhishek Banerjee, Ph. D. (Johns Hopkins University)
Assistant Professor |
Algebraic geometry, Noncommutative geometry.
| |
| [P] +91-80-2293 3326 |
UserID : abhishek |
|
http://math.iisc.ac.in/~abhishek |
| |
Siddhartha Gadgil, Ph.
D. (California Institute of Technology)
Professor |
Low Dimensional Topology |
|
| [P] +91-80-2293 3209 |
| UserID : gadgil |
| http://math.iisc.ac.in/~gadgil |
| |
Mrinal K. Ghosh, Ph. D. (TIFR-IISc) Professor |
Stochastic Control, Markov Decision Process, Stochastic Dynamic Games,
Stochastic Hybrid Systems, Applications of Stochastic Analysis to
Manufacturing systems Finance etc. |
|
[P] +91-80-2293 3210 |
| UserID : mkg |
| http://www.math.iisc.ac.in/~mkg |
| |
Thirupathi Gudi, Ph. D. (IIT Bombay) Associate Professor |
Numerical Analysis and Partial Differential Equations. |
|
[P] +91-80-2293 3208 |
| UserID : gudi |
| http://www.math.iisc.ac.in/~gudi/ |
| |
Subhojoy Gupta, Ph. D. (Yale)
Assistant Professor |
Teichmueller theory, low dimensional geometry and topology |
|
| [P] +91-80-2293 3330 |
| UserID : subhojoy |
| |
Srikanth K. Iyer, Ph.
D. (UC, Santa Barbara)
Professor |
Theoritical and Applied Probability, Statistics
Branching Particle Systems, Random Geometric Graphs, Mathematical
Finance, Credit Risk Modelling, Time Series Analysis, Monte Carlo
Simulation. |
|
[P] +91-80-2293 3327 |
| UserID : skiyer |
| http://math.iisc.ac.in/~skiyer/
|
| |
Manjunath Krishnapur Ph.D. (UC Berkeley) Associate Professor |
Probability Theory (random matrix theory, zeros of random analytic functions)
|
|
[P] +91-80-2293 3207 |
| UserID :manju |
| http://math.iisc.ac.in/~manju |
| |
Gadadhar Misra, Ph.D. (SUNY Stony Brook) Professor and Chairman |
Functional Analysis
|
|
[P] +91-80-2293 2712 |
| UserID :gm |
| http://math.iisc.ac.in/~gm/ |
| |
A. K. Nandakumaran, Ph. D. (TIFR-IISc)
Professor |
Partial Differential Equations Homogenization, Controllability, Optimal Control and Differential games,
Viscosity Solutions |
|
[P] +91-80-2293 2835 |
| UserID : nands |
| http://math.iisc.ac.in/~nands/ |
| |
Dilip P. Patil, Ph. D.
(Bombay)
Professor |
Commutative Algebra and Algebraic Geometry |
|
[P] +91-80-2293 3212 |
| UserID : patil |
| http://math.iisc.ac.in/~patil/ |
| |
Vamsi Pritham Pingali, Ph. D.
(Stony Brook Univ)
Assistant Professor |
Differential geometry,
several complex variables, and mathematical physics |
|
|
| UserID : vamsipingali |
| http://math.iisc.ac.in/~vamsipingali/ |
| |
Govindan Rangarajan,Ph. D. (Maryland)
Professor |
Nonlinear Dynamics and Time Series Analysis |
|
[P] +91-80-2293 3213 |
| UserID : rangaraj |
| http://math.iisc.ac.in/~rangaraj |
| |
|


Personas are fictional characters, which you create based upon your research in order to represent the different user types that might use your service, product, site, or brand in a similar way. Creating personas will help you to understand your users’ needs, experiences, behaviours and goals.


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18 Years Old・Male・Designer・Web Developer・iOS Developer
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When determining if movie reviews are positive or negative, Is the word "{{ feature.word }}" Relevant or Not Relevant?
" The machine cannot predict if "{{ feature.word }}" is relevant or irrelevant.
The machine predicts "{{ feature.word }}" to be {{ suggest }}.
| {{ doc.pre }} | {{ doc.cur }} | {{ doc.post }} |


 At BU, I am the current Director of Recruitment for our Upsilon Pi Epsilon (UPE) Chapter, BU's CS Honor Society. In CS, my passions are software development, IT operations, GNU/Linux, and open-source software.
When I'm not programming, you'll find me spending time with friends, reading a good book, or enjoying a nice cup of coffee (sometimes tea). Feel free to check out my social networking below.
Lorem ipsum dolor sit amet, consectetur adipiscing elit, sed do eiusmod tempor incididunt ut labore et dolore magna aliqua. Dolor sit amet consectetur adipiscing elit duis tristique sollicitudin nibh. Ornare massa eget egestas purus viverra.
In the past few years, I've had the pleasure of working and growing with exceptional people. Here are a few of my favorite experiences with them.
Trial and error is a fundamental process for nearly all aspects of Computer Science. The more I've experimented with different development tools, environments, libraries, distributions, the broader my skillset has become. Here are a few of my completed and ongoing projects.


‘Bubble wrap’ cushions a cell’s nucleus on the move
A network of protein fibres helps to prevent the all-important organelle from being bent out of shape.
A cell protects its nucleus by swaddling it in a minuscule wrapping of soft but resilient protein fibres.
Cells sometimes need to squeeze through tight spaces, but such contortions can squash a cell’s precious nucleus, which holds much of its DNA. To investigate how cells safeguard their nuclei, Robert Goldman at Northwestern University in Chicago, Illinois, Paul Janmey at the University of Pennsylvania in Philadelphia and their colleagues examined the role of the cellular protein vimentin, which forms fibres that stiffen under stress.
The team’s observations of mouse cells showed a cage of vimentin around the nucleus. However, that cage was missing in cells that lacked the vimentin gene, and the nuclei of these cells were much more likely to rupture during movement than the nuclei of normal cells.
When cells without vimentin wriggled through a narrow passageway, the cells’ DNA showed 50% more damage than did the DNA of cells that contained vimentin. The results show that vimentin has a hand in determining the fate of a cell and its genome.


File|New Create a new plain image.
File|Open Open an existing image.
File|Save Save the current image.
File|Save As Save the current image under a new name, and make the newly named image the current image.
File|Quit Terminate the program. You will be given the chance to save any unsaved changes.
If there are numbered files, these are recently opened files. Choosing one of them will cause it to be opened and to become the current image.


FREQUENTLY ASKED QUESTIONS
WHY nwHACKS?
British Columbia, Washington State, Oregon, and Alberta are currently seen as transit stations for tech companies. Designers, engineers, and business minds all flow down to California and shortly after university graduation.
We want to change that.
nwHacks is dedicated to creating a thriving community of technology lovers in the Pacific Northwest region by bringing together the brightest minds for an epic two day event.

A hackathon is an event where teams of 2-5 people collaborate on an application within the specified time limit (nwHacks is 24 hours long). Prizes are awarded to the most creative, polished and theme-specific projects or "hacks". The winners will be chosen by a panel of judges comprised of top industry professionals.
HOW CAN I OFFICIALLY SIGN UP?
Official registration for nwHacks 2016 hasn't opened yet, but you can pre-register above and we'll let you know when its time to signup!
WHAT SHOULD I BRING?
nwHacks is a 24h event, which means that hackers should be prepared to sleep overnight at the venue. Be sure to bring everything you need to stay the night, including a sleeping bag! All food will be provided at event so don't worry about that!
HOW MUCH DOES IT COST?
nwHacks is 100% free for all participants. However registration is strictly limited to highschool and college students only. We will also reimburse your travel expenses as long as they are not flights and are within a 200km radius of the event. We are also setting up buses from Seattle, Portland, and Victoria ( maybe Calgary) so definitely check that out as we get closer to the start date!
CAN I WORK ON MY PREVIOUS PROJECTS?
No, all "hacks" must be built from scratch, although it is ok if you came up with the idea before hand. This rule is strictly adhered to at nwHacks and any team found working on a project that they already started will be automatically disqualified in the event. However this does not apply to any libraries or tools that you have made, so feel free to use libraries and any other code!
HOW BIG CAN MY TEAM BE?
Teams are usually 2-5 people in size. Teams bigger than 5 people are usually split up into smaller ones, as we've found large teams aren't the best solution for a 24h event. Don't worry if you can't find your team beforehand, staff at the event will help you find other team mates and provide you with many opportunities to find others to help!
WHAT HAPPENS IF I DON'T HAVE A TEAM?
Don't worry! A lot of hackers just like you are in the same position. On the first day of the event, we will make sure to pair everyone up with a team of hackers so no one gets left out! There will also be an opportunity to connect with people and form teams before the event (after you have been chosen to attend).


transitionMatrix Package¶
This module provides the key transition matrix objects
CreditCurve implements the functionality of a collection of credit (default curves)
TransitionMatrix implements the functionality of single period transition matrix
TransitionMatrixSet provides a container for a multiperiod transition matrix collection
StateSpace holds information about the stochastic system state space
EmpiricalTransitionMatrix implements the functionality of a continuously observed transition matrix
transitionMatrix.model Classes¶
CreditCurve¶
-
class
transitionMatrix.model.
CreditCurve
¶ The CreditCurve object implements a typical collection of credit curves. The class inherits from numpy matrices and implements additional properties specific to curves.
-
static
__new__
(cls, values=None, json_file=None, csv_file=None)¶ Create a new credit curve set. Different options for initialization are:
providing values as a list of list
providing values as a numpy array (The rows are the different curves, the columns are different periods)
loading from a csv file
loading from a json file
Without data, a default identity matrix is generated with user specified dimension
- Parameters
values (list of lists or numpy array) – initialization values
json_file – a json file containing transition matrix data
csv_file – a csv file containing transition matrix data
- Returns
returns a CreditCurve object
- Return type
object
Note
The initialization in itself does not validate if the provided values form indeed a credit curve
- Example
A = tm.CreditCurve(values=[[0.1, 0.2, 0.3], [0.2, 0.6, 0.8], [0.01, 0.02, 0.06]])
-
characterize
()¶ Analyse or classify a credit curve according to its properties
slope of hazard rate
Todo
Further characterization
-
hazard_curve
()¶ Todo
Compute hazard rates
- Returns
-
print
(format_type='Standard', accuracy=2)¶ Pretty print a set of credit curves
- Parameters
format_type (str) – formatting options (Standard, Percent)
accuracy (int) – number of decimals to display
-
to_csv
(file)¶ Write credit curves to file in csv format
- Parameters
file – csv filename
-
to_json
(file)¶ Write credit curves to file in json format
- Parameters
file – json filename
-
validate
(accuracy=0.001)¶ Validate required properties of a credit curve set. The following are checked
check that all values are probabilities (between 0 and 1)
check that values are non-decreasing
- Parameters
accuracy (float) – accuracy level to use for validation
- Returns
List of tuples with validation messages
-
static
TransitionMatrix¶
-
class
transitionMatrix.model.
TransitionMatrix
¶ The TransitionMatrix object implements a typical (one period) transition matrix. The class inherits from numpy matrices and implements additional properties specific transition matrices. It forms the building block of the TransitionMatrixSet which holds a collection of matrices in increasing temporal order
-
static
__new__
(cls, values=None, dimension=2, json_file=None, csv_file=None)¶ Create a new transition matrix. Different options for initialization are:
providing values as a list of list
providing values as a numpy array
loading from a csv file
loading from a json file
Without data, a default identity matrix is generated with user specified dimension
- Parameters
values (list of lists or numpy array) – initialization values
dimension (int) – matrix dimensionality (default is 2)
json_file – a json file containing transition matrix data
csv_file – a csv file containing transition matrix data
- Returns
returns a TransitionMatrix object
- Return type
object
Note
The initialization in itself does not validate if the provided values form indeed a transition matrix
- Example
A = tm.TransitionMatrix(values=[[0.6, 0.2, 0.2], [0.2, 0.6, 0.2], [0.2, 0.2, 0.6]])
-
characterize
()¶ Analyse or classify a transition matrix according to its properties
diagonal dominance
Todo
Further characterization
-
fix_negativerates
()¶ If a matrix entity is below zero, set to zero and correct the diagonal element to enforce
-
fix_rowsums
()¶ If the row sum is not identically unity, correct the diagonal element to enforce
-
generate_random_matrix
()¶ Todo
Implement matrix generation subject to various constraints
-
generator
(t=1.0)¶ Compute the generator of a transition matrix
- Parameters
t (float) – the timescale parameter
- Example
G = A.generator()
-
print
(format_type='Standard', accuracy=2)¶ Pretty print a transition matrix
- Parameters
format_type (str) – formatting options (Standard, Percent)
accuracy (int) – number of decimals to display
-
remove
(state, method)¶ Remove a transition matrix state and distribute its probability to other states according to prescribed method
- Parameters
state (int) – the state to remove
- Returns
a transition matrix
-
to_csv
(file)¶ Write transition matrix to file in csv format
- Parameters
file – csv filename
-
to_json
(file)¶ Write transition matrix to file in json format
- Parameters
file – json filename
-
validate
(accuracy=0.001)¶ Validate required properties of a transition matrix. The following are checked
check squareness
check that all values are probabilities (between 0 and 1)
check that all rows sum to one
- Parameters
accuracy (float) – accuracy level to use for validation
- Returns
List of tuples with validation messages
-
static
TransitionMatrixSet¶
-
class
transitionMatrix.model.
TransitionMatrixSet
(dimension=2, values=None, periods=1, temporal_type=None, method=None, json_file=None, csv_file=None)¶ The TransitionMatrixSet object stores a family of TransitionMatrix objects as a time ordered list. Besides storage it allows a variety of simultaneous operations on the collection of matrices
-
__init__
(dimension=2, values=None, periods=1, temporal_type=None, method=None, json_file=None, csv_file=None)¶ Create a new matrix set. Different options for initialization are:
providing values as a list of list
providing values as a numpy array
loading from a csv file
loading from a json file
Without data, a default identity matrix is generated with user specified dimension
- Parameters
values – initialization values
dimension – matrix dimensionality (default is 2)
method – matrix dimensionality (default is 2)
periods – List with the timesteps of matrix observations
temporal_type – matrix dimensionality (default is 2)
Incremental: Each period matrix reflects transitions for that period
Cumulative: Each period matrix reflects cumulative transitions from start to that period
- Parameters
json_file (str) – a json file containing transition matrix data
csv_file (str) – a csv file containing transition matrix data
- Returns
returns a TranstionMatrix object
- Return type
object
Note
The initialization in itself does not validate if the provided values form indeed a transition matrix set
- Example
Instantiate a transition matrix set directly using a list of matrices
C_Vals = [[[0.75, 0.25], [0.0, 1.0]], [[0.75, 0.25], [0.0, 1.0]]] C_Set = tm.TransitionMatrixSet(values=C_Vals, temporal_type='Incremental')
-
__mul__
(scale)¶ Scale all entries of the set by a factor
-
cumulate
()¶ Cumulate a transition matrix set from an incremental set
-
default_curve_set
()¶ Calculate the cumulative probabilities (credit curves) for all ratings
-
default_curves
(rating)¶ Calculate the incremental probability of crossing the absorbing barrier, and the corresponding cumulative probabilities, hazard rates and survival rates
-
incremental
()¶ Create an incremental transition matrix set from a cumulative set
-
print_matrix
(format_type='Standard', accuracy=2)¶ Pretty Print a Transition Matrix Set
-
remove
(state, method)¶ remove a transition matrix state and distribute its probability to other states according to prescribed method
-
validate
()¶ Validate transition matrix set (validating individual entries)
- Returns
List of tuples with validation messages
-
StateSpace¶
-
class
transitionMatrix.model.
StateSpace
(definition=[], sticky=False, absorbing=None, originator=None, full_name=None, cqs_mapping=None)¶ The StateSpace object stores a state space structure as a List of tuples The first two elements of each tuple contain the index (base-0) and label of the state space respectively.
Additional fields reserved for further characterisation
- [(index 1, label 1, optional, optional, …),
(index 2, label 2, optional, optional, …)]
Todo
Implement Absorbing States
Todo
Implement in estimators
-
__init__
(definition=[], sticky=False, absorbing=None, originator=None, full_name=None, cqs_mapping=None)¶ - Parameters
definition – List of tuples describing the state space
sticky – Sticky = True, measurement data contain unchanged states. The default is False, only state changes are recorded
absorbing – List of states that are absorbing
originator – Name of entity defining the State Space (e.g. A Credit Rating Agency)
full_name – Full (formal) name for the State Space (e.g. Concrete Credit Rating Scale)
cqs_mapping – For credit ratings that have a mapping to the simplified EU CQS Scale
-
describe
()¶ Print the State Space description
-
generic
(n=2)¶ Create a generic state space of size n
-
get_state_labels
()¶ Return a list of state descriptions
-
get_states
()¶ Return a list with the set of states
-
validate_dataset
(dataset, labels=None)¶ Check that a dataset column is consistent with a given state space. The following tests are implemented
1: all the states in dataset exist in state space description (error otherwise) 2: all the states in state space exist in dataset (warning otherwise) 3: successive states for the same entity are different, unless the Sticky flag is True
- Parameters
dataset – the dataset to test
labels – the labels of the state space
- Returns
a list of validation messages
EmpiricalTransitionMatrix¶
-
class
transitionMatrix.model.
EmpiricalTransitionMatrix
(dimension=2, values=None, observation_times=None, json_file=None, csv_file=None)¶ The EmpiricalTransitionMatrix object stores a continuously observed Transition Matrix. It stores matrices estimated using duration methods
The EmpiricalTransitionMatrix object is different from the TransitionMatrixSet in that it stores detailed event time of observations and the transition densities in addition to the transition probabilities
An EmpiricalTransitionMatrix can be converted into a TransitionMatrixSet by sampling on a temporal grid (but not vice-versa)
-
__init__
(dimension=2, values=None, observation_times=None, json_file=None, csv_file=None)¶ Create a new probability matrix. Different options for initialization are:
providing values as a 3D numpy array of signature (S, S, T) and observation times as a list or numpy array of length T
loading from a csv file
loading from a json file
Without data, a default identity matrix is generated with user specified dimension
- Parameters
values (3D numpy array) – initialization values
dimension (int) – matrix dimensionality (default is 2)
observation_times – List with the timesteps (support) of transition observations
json_file (str) – a json file containing transition matrix data
csv_file (str) – a csv file containing transition matrix data
- Returns
returns a EmpiricalTransitionMatrix object
- Return type
object
Note
The initialization in itself does not validate if the provided values form indeed a transition matrix set
- Example
Instantiate a transition probability matrix
-


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Layouts
Restore Layout
Get Layout
Layout Names
Set Layout
Import Layout
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Create Snap Windows
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Enum -
VirtualEthernetCardLegacyNetworkDeviceName(vim.vm.device.VirtualEthernetCardOption.LegacyNetworkBackingOption.LegacyNetworkDeviceName)
Enum Description
Possible device names for legacy network backing option are listed below.
Note: This is not an exhaustive list. It is possible to specify
a specific device as well.
For example, on ESX hosts, the device name could be specified as "vmnic[0-9]"
or vmnet_[0-9].
For VMware Server Windows hosts, the device name could be specified as "vmnet[0-9]"
and for VMware Server Linux hosts, the device name could be specified as "/dev/vmnet[0-9]"
depending on what devices are available on that particular host.
Enum Constants
| Name | Description |
| bridged |
|
| hostonly |
|
| nat |
|
Show WSDL type definition


|
LiteCore
Couchbase Lite cross-platform core implementation
|
Data Structures | |
| struct | C4EncryptionKey |
| Encryption key specified in a C4DatabaseConfig. More... | |
| struct | C4DatabaseConfig |
| Main database configuration struct. More... | |
| struct | C4UUID |
Typedefs | |
| typedef struct c4Database | C4Database |
| Opaque handle to an opened database. More... | |
Variables | |
| CBL_CORE_API const char *const | kC4DatabaseFilenameExtension |
| Filename extension of databases – ".cblite2". More... | |
Configuration | |
| enum | C4DatabaseFlags : uint32_t { kC4DB_Create = 1, kC4DB_ReadOnly = 2, kC4DB_AutoCompact = 4, kC4DB_Bundled = 8, kC4DB_SharedKeys = 0x10, kC4DB_NoUpgrade = 0x20, kC4DB_NonObservable = 0x40 } |
| Boolean options for C4DatabaseConfig. More... | |
| enum | C4DocumentVersioning : uint32_t { kC4RevisionTrees, kC4VersionVectors } |
| Document versioning system (also determines database storage schema) More... | |
| enum | C4EncryptionAlgorithm : uint32_t { kC4EncryptionNone = 0, kC4EncryptionAES256 = 1 } |
| Encryption algorithms. More... | |
| typedef const char * | C4StorageEngine |
| Underlying storage engines that can be used. More... | |
| CBL_CORE_API C4StorageEngine const | kC4SQLiteStorageEngine |
Lifecycle | |
| C4Database * | c4db_open (C4String path, const C4DatabaseConfig *config, C4Error *outError) |
| Opens a database. More... | |
| C4Database * | c4db_openAgain (C4Database *db, C4Error *outError) |
Opens a new handle to the same database file as db . More... | |
| bool | c4db_copy (C4String sourcePath, C4String destinationPath, const C4DatabaseConfig *config, C4Error *error) |
| Copies a prebuilt database from the given source path and places it in the destination path. More... | |
| C4Database * | c4db_retain (C4Database *db) |
| Increments the reference count of the database handle. More... | |
| bool | c4db_free (C4Database *database) |
| Frees a database handle, closing the database first if it's still open. More... | |
| bool | c4db_close (C4Database *database, C4Error *outError) |
| Closes the database. More... | |
| bool | c4db_delete (C4Database *database, C4Error *outError) |
| Closes the database and deletes the file/bundle. More... | |
| bool | c4db_deleteAtPath (C4String dbPath, const C4DatabaseConfig *config, C4Error *outError) |
| Deletes the file(s) for the database at the given path. More... | |
| bool | c4db_rekey (C4Database *database, const C4EncryptionKey *newKey, C4Error *outError) |
| Changes a database's encryption key (removing encryption if it's NULL.) More... | |
| bool | c4_shutdown (C4Error *outError) |
| Closes down the storage engines. More... | |
Accessors | |
| C4StringResult | c4db_getPath (C4Database *) |
| Returns the path of the database. More... | |
| const C4DatabaseConfig * | c4db_getConfig (C4Database *) |
| Returns the configuration the database was opened with. More... | |
| uint64_t | c4db_getDocumentCount (C4Database *database) |
| Returns the number of (undeleted) documents in the database. More... | |
| C4SequenceNumber | c4db_getLastSequence (C4Database *database) |
| Returns the latest sequence number allocated to a revision. More... | |
| uint64_t | c4db_nextDocExpiration (C4Database *database) |
| Returns the timestamp at which the next document expiration should take place. More... | |
| uint32_t | c4db_getMaxRevTreeDepth (C4Database *database) |
| Returns the number of revisions of a document that are tracked. More... | |
| void | c4db_setMaxRevTreeDepth (C4Database *database, uint32_t maxRevTreeDepth) |
| Configures the number of revisions of a document that are tracked. More... | |
| bool | c4db_getUUIDs (C4Database *database, C4UUID *publicUUID, C4UUID *privateUUID, C4Error *outError) |
| Returns the database's public and/or private UUIDs. More... | |
Compaction | |
| bool | c4db_compact (C4Database *database, C4Error *outError) |
| Manually compacts the database. More... | |
Transactions | |
| bool | c4db_beginTransaction (C4Database *database, C4Error *outError) |
| Begins a transaction. More... | |
| bool | c4db_endTransaction (C4Database *database, bool commit, C4Error *outError) |
| Commits or aborts a transaction. More... | |
| bool | c4db_isInTransaction (C4Database *database) |
| Is a transaction active? More... | |
| typedef struct c4Database C4Database |
Opaque handle to an opened database.
| typedef const char* C4StorageEngine |
Underlying storage engines that can be used.
| enum C4DatabaseFlags : uint32_t |
Boolean options for C4DatabaseConfig.
| enum C4DocumentVersioning : uint32_t |
| enum C4EncryptionAlgorithm : uint32_t |
| bool c4_shutdown | ( | C4Error * | outError | ) |
Closes down the storage engines.
Must close all databases first. You don't generally need to do this, but it can be useful in tests.
| bool c4db_beginTransaction | ( | C4Database * | database, |
| C4Error * | outError | ||
| ) |
Begins a transaction.
Transactions can nest; only the first call actually creates a database transaction.
| bool c4db_close | ( | C4Database * | database, |
| C4Error * | outError | ||
| ) |
Closes the database.
Does not free the handle, although any operation other than c4db_free() will fail with an error.
| bool c4db_compact | ( | C4Database * | database, |
| C4Error * | outError | ||
| ) |
Manually compacts the database.
| bool c4db_copy | ( | C4String | sourcePath, |
| C4String | destinationPath, | ||
| const C4DatabaseConfig * | config, | ||
| C4Error * | error | ||
| ) |
Copies a prebuilt database from the given source path and places it in the destination path.
If a database already exists at that directory then it will be overwritten. However if there is a failure, the original database will be restored as if nothing happened
| bool c4db_delete | ( | C4Database * | database, |
| C4Error * | outError | ||
| ) |
Closes the database and deletes the file/bundle.
Does not free the handle, although any operation other than c4db_free() will fail with an error.
| bool c4db_deleteAtPath | ( | C4String | dbPath, |
| const C4DatabaseConfig * | config, | ||
| C4Error * | outError | ||
| ) |
Deletes the file(s) for the database at the given path.
All C4Databases at that path must be closed first or an error will result. Returns false, with no error, if the database doesn't exist.
| bool c4db_endTransaction | ( | C4Database * | database, |
| bool | commit, | ||
| C4Error * | outError | ||
| ) |
Commits or aborts a transaction.
If there have been multiple calls to beginTransaction, it takes the same number of calls to endTransaction to actually end the transaction; only the last one commits or aborts the database transaction.
| bool c4db_free | ( | C4Database * | database | ) |
Frees a database handle, closing the database first if it's still open.
(More precisely, this decrements the handle's reference count. The handle is only freed if the count reaches zero, which it will unless c4db_retain has previously been called.)
| const C4DatabaseConfig* c4db_getConfig | ( | C4Database * | ) |
Returns the configuration the database was opened with.
| uint64_t c4db_getDocumentCount | ( | C4Database * | database | ) |
Returns the number of (undeleted) documents in the database.
| C4SequenceNumber c4db_getLastSequence | ( | C4Database * | database | ) |
Returns the latest sequence number allocated to a revision.
| uint32_t c4db_getMaxRevTreeDepth | ( | C4Database * | database | ) |
Returns the number of revisions of a document that are tracked.
(Defaults to 20.)
| C4StringResult c4db_getPath | ( | C4Database * | ) |
Returns the path of the database.
| bool c4db_getUUIDs | ( | C4Database * | database, |
| C4UUID * | publicUUID, | ||
| C4UUID * | privateUUID, | ||
| C4Error * | outError | ||
| ) |
Returns the database's public and/or private UUIDs.
(Pass NULL for ones you don't want.)
| bool c4db_isInTransaction | ( | C4Database * | database | ) |
Is a transaction active?
| uint64_t c4db_nextDocExpiration | ( | C4Database * | database | ) |
Returns the timestamp at which the next document expiration should take place.
| C4Database* c4db_open | ( | C4String | path, |
| const C4DatabaseConfig * | config, | ||
| C4Error * | outError | ||
| ) |
Opens a database.
| C4Database* c4db_openAgain | ( | C4Database * | db, |
| C4Error * | outError | ||
| ) |
Opens a new handle to the same database file as db
.
The new connection is completely independent and can be used on another thread.
| bool c4db_rekey | ( | C4Database * | database, |
| const C4EncryptionKey * | newKey, | ||
| C4Error * | outError | ||
| ) |
Changes a database's encryption key (removing encryption if it's NULL.)
| C4Database* c4db_retain | ( | C4Database * | db | ) |
Increments the reference count of the database handle.
The next call to c4db_free() will have no effect. Therefore calls to c4db_retain must be balanced by calls to c4db_free, to avoid leaks.
| void c4db_setMaxRevTreeDepth | ( | C4Database * | database, |
| uint32_t | maxRevTreeDepth | ||
| ) |
Configures the number of revisions of a document that are tracked.
| CBL_CORE_API const char* const kC4DatabaseFilenameExtension |
Filename extension of databases – ".cblite2".
Includes the period.
| CBL_CORE_API C4StorageEngine const kC4SQLiteStorageEngine |


Structures
The following structures are available globally.
-
This struct represents request and response application filters. You can create AppFilters and use it in Application initialization
Declaration
Swift
public struct AppFilters
-
This struct represnts an Application with its configuration, routes and filters. You could use this application or create another Application object that complies with AppProtocol.
See moreSee
see also: AppProtocolDeclaration
Swift
public struct Application : AppProtocol
-
This struct represents the configuration of an application
Example usage:
See more// path represents a json file location that have the same key names as the struct props let file = File(path) if file.exists == false { print("Configuration file doesn't exist!") } do { try file.open(.read, permissions: .readUser) defer { file.close() } let json = try file.readString() let conf = try Configuration(json) app.config = conf // assign it to your application's config to be used when you launch the server } catch { print(error) }
Declaration
Swift
public struct Configuration : Codable
-
This struct represents the server configuration
Declaration
Swift
public struct ServerConfiguration : Codable
-
configuration for logging
Declaration
Swift
public struct LoggingConfiguration : Codable
-
database configuration that should be initialized when Configuration is initialized. ScantORM uses this configuration to initialize the DatabaseAdapter. You can use it without ScantORM if you need to!
See moreDeclaration
Swift
public struct DBConfiguration : Codable
-
SSL configuration for https server
Declaration
Swift
public struct SSLConfiguration : Codable


HOLLOW MAN A film review by Steve Rhodes Copyright 2000 Steve Rhodes RATING (0 TO ****): ***
HOLLOW MAN isn't your father's INVISIBLE MAN. From audacious director Paul Verhoeven (STARSHIP TROOPERS, BASIC INSTINCT and SHOWGIRLS), HOLLOW MAN is erotic, fascinating, imaginative, gory and, yes, a bit scary.
Starring Kevin Bacon as a bold bastard of a scientist named Sebastian Caine, the movie also stars Elisabeth Shue as Linda Foster, Sebastian's coworker and ex-flame, and Josh Brolin as Matt Kensington, their coworker and Linda's current squeeze. Sebastian still pines for Linda and doesn't initially know about her relationship with Matt. The sexually charged script by Andrew W. Marlowe (AIR FORCE ONE) uses this romantic triangle as a key subplot.
Deep underground in a top-secret military lab, Sebastian leads a team of crack scientists who have learned how to make animals invisible and bring them back to visibility, with the latter transformation being the hardest.
The movie's special effects are amazing. Graphic and gory, they show animals and a human going in and out of visibility. Basically the process starts with the skin disappearing. The reversal begins with the veins appearing. Medical schools would pay big money for this.
The script is as humorous as it is inventive. Sebastian, for example, tells a great ribald joke involving Superman and Wonder Woman. Women, however, may have trouble sleeping or being alone after seeing the film. The movie plays up to men's secret voyeuristic desires -- Want to see that gorgeous woman next door? Just slip in unannounced and unseen. -- so men may find the film more exciting than troubling.
Bacon is creepy and cocky. He plays the type of character you love to hate. "You don't make history by following the rules", Sebastian, who likes to refer to himself as God, tells Linda. "You make it by seizing the moment."
Shue is almost as sexy as she was in her Oscar-nominated part in LEAVING LAS VEGAS, and she even shows that she can be a credible action hero in the Sigourney Weaver mold. She is clearly an actress who should be cast more often.
The film's opening sequence of an innocent mouse being eaten alive by an invisible predator serves notice of what is coming up. If you were expecting some innocuous and cute invisible man movie, you are warned that this isn't it and that you should quickly head for the exit.
For those who stay the movie is great fun. The film even thumbs its nose at the MPAA rating board. Knowing that the MPAA will allow frontal nudity in an R film so long as it's not male nudity, the director shows Bacon's penis flapping as he walks. But it is done with a thermal image so that it can be argued that it wasn't really shown at all.
"What would you do if you knew you couldn't be seen?" Sebastian asks. An intriguing question which HOLLOW MAN explores in some obvious but thought-provoking ways. As though he has a devil and an angel on his shoulders, Sebastian argues with himself. "Don't even think about it," he says about something that he knows he shouldn't do. But then he adds, "Who's going to know?"
Only in the end, when the film dissolves into a cross between ALIENS and a typical slasher flick, does it ever let us down some. But in the film's defense, it never takes itself too seriously, so that even the concluding segment is enjoyable. The real difference is that the ending doesn't have quite the freshness of the rest of the picture.
HOLLOW MAN runs 1:45. It is rated R for strong violence, gore, language, nudity and sexuality and would be acceptable for older teenagers.
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[gecode-users] changing a Space's AFC decay factor
Kish Shen
kisshen at cisco.com
Tue Dec 10 23:35:02 CET 2013
On 10/12/2013 12:33, Christian Schulte wrote:
> afc_set(a) is for changing the value for the afc: it sets the afc-value for
> all propagators to a.
I see -- I guess this is (mainly?) for setting the initial value of the
AFCs, defaulting to 1 for each propagator so that the AFC for a variable
is its degree, corresponding to the 'weighted degree' definition?
I am still a bit puzzled, I thought the AFC for a variable is an integer
-- certainly the code I use to get AFC returns an integer (using
IntVar::afc()), but the a in afc_set(a) is a double. Has the internal
representation of AFC changed from integer to double? Is this related to
the introduction of the decay factor -- without the decay factor, it
seems to me that the AFC need only be integer.
Cheers,
Kish
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