--- layout: post title: Don't create slides when you should be writing documents tags: - Personal Opinion - Work Practices status: publish type: post published: true meta: _edit_last: '451289' --- Presentation Zen: "Slideuments" and the catch-22 for conference speakers
insisting that presenters submit their "PowerPoint slides" for inclusion in a future conference booklet or future download from the conference website, conference organizers force their speakers into a catch-22 situation. The presenter must say to herself: "Do I design visuals that clearly support my live talk or do I create slides that more resemble a document to be read later?"I think Garr is being rather charitible. At work I am increasingly being given slides deques when I should be getting documents and it seems to be for the following reasons:


All samples are using Ink.requireModules
, please read how to use it at Ink.requireModules section
Tooltips are useful as a means to display information about functionality while avoiding clutter.
Tooltips show up when you hover elements which "have" tooltips.
This class will "give" a tooltip to many elements, selected by its first argument (target
). This is contrary to the other UI modules in Ink, which are created once per element.
You can define options either through the second argument of the Tooltip constructor, or as data-attributes in each target
element. Options set through data-attributes all start with "data-tip", and override options passed into the Tooltip constructor.
| Method name | Description |
|---|---|
| new Tooltip(target, [options]) | Constructor |
| .destroy() | Destroys the tooltips created by this instance |
target
Target element or selector of elements, to display the tooltips on.options
Options objectoptions.text
Text content for the tooltip.options.html
HTML for the tooltip. Same as above, but won't escape HTML.options.where
Positioning for the tooltip. Options are 'up', 'down', 'left', 'right', 'mousemove' (follows the cursor), and 'mousefix' (stays fixed). Defaults to 'up'.options.color
Color of the tooltip. Options are red, orange, blue, green and black. Default is white.options.fade
Number of seconds to fade in/out. Defaults to 0.3.options.forever
Flag to prevent the tooltip from being erased when the mouse hovers away from the target.options.timeout
Number of seconds the tooltip will stay open. Useful together with options.forever. Defaults to 0.options.delay
Time the tooltip waits until it is displayed. Useful to avoid getting the attention of the user unnecessarilyoptions.template
Element or selector containing HTML to be cloned into the tooltips. Can be a hidden element, because CSS `display` is set to `block`.options.templatefield
Selector within the template element to choose where the text is inserted into the tooltip. Useful when a wrapper DIV is required.options.left
Spacing from the target to the tooltip, when `where` is `mousemove` or `mousefix`. Defaults to 10.options.top
Spacing from the target to the tooltip, when `where` is `mousemove` or `mousefix`. Defaults to 10.options.spacing
Spacing between the tooltip and the target element, when `where` is not `mousemove` or `mousefix`. Defaults to 8.Destroys the tooltips created by this instance


The Bias Report in Action
Using a clean version of the
COMPAS dataset, we demostrate the use of The Bias Report web app.
The Process
Upload data
First, we upload the data. The cleaned dataset is available on the upload page and follows the format described
here.
Select Protected Groups
Following the Propublica-Northpointe debate (discussed below) we focus on race. We select a custom reference group and use Caucasian as the reference group. Our metrics will thus reflect fairness in relation to the historically dominant group.
Select Fairness Metrics
Again following the below debate, we select False Positive Rates, False Negative Rates and False Discovery Rates.
Background
In 2016, Propublica
reported on racial inequality in COMPAS, a risk assessment tool. They showed the algorithm led to unfair disparities in False Negative and False Positive Rates. In particular, they showed black defendants who would not go on to recidivate faced disproportionately high risk scores, while white defendants who would recidivate received disproportionately low risk scores. Northpointe, the company responsible for the algorithm,
responded by arguing they callibrated the algorithm to be fair in terms of False Discovery Rate, also known as calibration. With the Bias Report, we get metrics on each type of disparity, adding clarity to the bias auditing process.
Analysis
The African-American false discovery rates are within the bounds of fairness. This result is expected because COMPAS is calibrated. (The overall FDR fairness returns false, because Asian and Native American defendants did not fall within the fairness threshholds for FDR).
On the other hand, African-Americans are roughly twice as likely to have false positives and 40 percent less likely to false negatives. In real terms, 44.8% of African-Americans who did not recidivate were marked high or medium risk (with potential for associated penalties), compared with 23.4% of Caucasian non-reoffenders. This is unfair and is marked False below.
These findings mark an inherent trade-off between FPR Fairness, FNR Fairness and calibration, which is present in any decision system where base rates are not equal. See Chouldechova (2017). Aequitas helps bring this trade-off to the forefront with clear metrics and asks system designers to make a reasoned decision based on their use case.


Please upload your EnzymeML Validation Template via the following form.
In return you will receive the corresponding YAML file to host at database site.


Home
Contact
About us
Contact
For more info
Contact us:+2349059111982
<EMAIL_ADDRESS>ABOUT US
This is a website portifolio for my
Instagram:@_marygraphy
Tiktok:@_iammaryclaree


We opened the doors in 2019 we graduated in hotel management
teaching school.
we are a team of sisters we always dreamed to have this kind of business that serves people
as it is our delight.
We are delighted to serve the society especially in this field.
we love being
part of the people's best moments by providing what
makes them special that is
PIZZA.


BigJob uses a Redis server for coordination and task management. Redis is the most stable and fastest backend (requires Python >2.5) and the recommended way of using BigJob. BigJob will not work without a coordination backend.
Redis can easily be run in user space. For additional information about redis, please visit the website, `redis.io<http://www.redis.io>`_. To install your own redis server, please take the following steps:
wget http://download.redis.io/redis-stable.tar.gz
tar xvzf redis-stable.tar.gz
cd redis-stable
make
Once you have downloaded and installed it, start a Redis server on the machine of your choice as follows:
$ cd redis-stable
$ ./src/redis-server
[489] 13 Sep 10:11:28 # Warning: no config file specified, using the default config. In order to specify a config file use 'redis-server /path/to/redis.conf'
[489] 13 Sep 10:11:28 * Server started, Redis version 2.2.12
[489] 13 Sep 10:11:28 * The server is now ready to accept connections on port 6379
[489] 13 Sep 10:11:28 - 0 clients connected (0 slaves), 922160 bytes in use
You can install redis on a persistent server and use this server as your dedicated coordination server.


Get the primary logged in email of the android device.
To access this module from JavaScript, you would do the following:
var emailFetcher = require('com.emailprovider');
The emailFetcher variable is a reference to the Module object.
var emailFetcher = require('com.emailprovider');
//Returns the primary email of the device or Return null if no email setup//
var primaryEmail = emailFetcher.getPrimaryEmail();
Ti.API.info('Device primary logged in email id :' + primaryEmail);
Murtuza Saifee
Email<EMAIL_ADDRESS>Copyright(c) 2014 by Blisstering Solutions Pvt. Ltd. All Rights Reserved. Please see the LICENSE file included in the distribution for further details.


Taapsee Pannu Is Definitely Running: May Now Star In The Hindi Remake Of Run Lola Run- EXCLUSIVE
by Vickey LalwaniIf all goes well, you will see Taapsee Pannu essaying the lead role in the Hindi remake of the German flick, Run Lola Run
Last year, it was reported that Tanuj Garg and Atul Kasbekar, heads of Ellipsis Entertainment have purchased rights to the German cult film called Run Lola Run.

Kasbekar and Garg were looking for a strong female lead and now, we have heard that they are in advanced talks with Taapsee Pannu. No two second thoughts that Taapsee is a very strong actress and she has proved her mettle with some fab performances in many films.
The modalities are fast being worked out. Let’s see if Taapsee indeed signs on the dotted line.
The original German flick starred Franka Potente, Moritz Bleibtreu, Herbert Knaup among many others. The film was selected in the Best Foreign Language Film at the 71st Academy Awards, but didn’t get nominated.
On the work front, Taapsee Pannu has had a good year with films like Badla, Mission Mangal and Saand Ki Aankh. The actor even bagged the Best Actor Critics Choice Choice award along with Bhumi Pednekar for her performance in Saand Ki Aankh.
Next, Taapsee will be seen in the Mithali Raj biopic called Shabaash Mithu. Reportedly, she has an untitled film opposite Vikrant Massey to be helmed by Vinil Mathew. Also, she is on-board of Anubhav Sinha’s next, Thappad.
Image Source:- youtube/rsvpmovies/pinterest/instagram/tanuj.garg//atulkasbekar


Bacon Ipsum
Sep 24, 2017 - 12:00 AM - by RubyGuy
Pastrami strip steak turkey bresaola boudin.
Tri-tip porchetta pork belly, salami cupim corned
beef ground round pig drumstick pastrami shank boudin
frankfurter. Tail prosciutto doner, beef tri-tip shank
jowl chuck. Andouille short ribs swine prosciutto
shankle, turducken landjaeger pancetta tongue spare
ribs strip steak. Spare ribs tenderloin tongue pork chop
salami, corned beef sausage ball tip turkey tail shank.
Bacon Ipsum
Sep 24, 2017 - 12:00 AM - by RubyGuy
Pastrami strip steak turkey bresaola boudin.
Tri-tip porchetta pork belly, salami cupim corned
beef ground round pig drumstick pastrami shank boudin
frankfurter. Tail prosciutto doner, beef tri-tip shank
jowl chuck. Andouille short ribs swine prosciutto
shankle, turducken landjaeger pancetta tongue spare
ribs strip steak. Spare ribs tenderloin tongue pork chop
salami, corned beef sausage ball tip turkey tail shank.


Verify that libraries are loaded safely on Windows.
If a fully-qualified path to a DLL library is not specified, a malicious library with the same name may be loaded by an attacker, allowing him to alter program behavior or execute arbitrary code.
Use the following steps to check if libraries are loaded safely:
Review code. Search for calls to LoadLibrary() and LoadLibraryEx() functions.
Verify that absolute paths are used. Check the arguments to LoadLibrary() and LoadLibraryEx() functions to make sure fully-qualified file names are used.
Check ACLs. Inspect access controls on the application directory to make sure that Write access is denied to intruders.
Perform the following actions in order to avoid loading a malicious DLL:
Review code. Search for calls to LoadLibrary() and LoadLibraryEx() functions.
Always specify absolute paths. If you do not specify the absolute path, the OS searches for the library through the library search order. Since the search order will look for DLLs in other locations on the target machine, it may cause the process to load unintended, malicious DLLs. If a malicious DLL is loaded, malicious code will run with the privilege level of the executing process.
Secure the application directory. Place strong ACLs on the application directory, denying WRITE access to intruders. The <application_name>.local file in the application’s directory causes the OS to load requested DLLs from that directory, even when absolute paths are used.


Esteban Ocon to test for Renault after Abu Dhabi Grand Prix!
by Tom MasonEsteban Ocon will now join up with Renault for testing following the conclusion of the 2019 season in Abu Dhabi.
The two teams have reached an agreement which means Ocon can join Renault for the two-day tyre test after the final Grand Prix of the season.
These tests are set to take place on the 3rd and 4th December, with Renault allowing Daniel Ricciardo to fly home following the climax of the regular season.
Ocon is replacing the experienced Nico Hulkenberg from next season, who is still without a team and is now unlikely to secure one with one Williams seat the only one remaining to be decided for next year.
The 23-year-old has raced in F1 previously, making his debut at the 2016 Belgian Grand Prix.


A Beginner's Guide on Using Data to Assess Business Performance
Running an online business that’s growing slower than projected is never an ideal scenario. What can tremendously help diagnose the problem is to have data and know how to gain insights from it. It is only through the collection and analysis of data where you can free yourself from guesswork, start validating assumptions, and gain insights on how you should be operating your business.
But there’s a caveat: data that wasn’t measured is data that’s lost forever [1]
. Things will seem hopeless if you haven’t been collecting data all the while. It’s not too late. You can still turn outcomes in your favor by knowing exactly what data you need to collect moving forward. Read on and I’ll show you how.
Discovering new efficiencies and identifying root causes of problems requires collecting the right data from both a conceptually comprehensive (the whole funnel or customer lifecycle) and a rigorously detailed (what and how to measure) perspective.
Where are your visitors coming from?
There’s a saying that traffic is the cure-all. Time and time again, I’ve found companies stumble on a lack of traffic as the root of many of their problems.
High-quality traffic needs to be earned, not bought.
It’s very tempting to spend money right now to boost your traffic. But if your site isn’t optimized and you don’t have a strong retention program, the only thing that your marketing budget can do is to temporarily increase your site’s visitors or one-off sales. This isn’t sustainable in the long term when you’ve generated maximum reach in your target market due to perpetual spending on marketing. High-quality traffic needs to be earned, not bought.
I can’t stress this enough, but avoid being impulsive in spending your marketing budget to quickly increase your traffic if your site isn’t optimized (technically, about 2% conversion from visit to purchase). More importantly, if you’re not even collecting data, cut marketing spend as much as possible since there’s no way to tell whether your site is optimized or not.
Conversion Rates: What Keeps You Up At Night
Conversion is defined by two things:
- A situation that a visitor is in. For example: landing on a webpage containing all the features your product or service is capable of doing.
- An action they’re expected to make under that situation. For example: signup for a free trial of your product.
And here are some common examples of conversion:
- For every new visitor who arrives at your landing page and signs up, that’s a conversion to signup.
- For every person who visits your site and makes a purchase, that’s a conversion to purchase.
- For anyone who clicks on one of your social media posts and arrives at your site, that’s a conversion to visit.
Now let’s talk about conversion rate. It’s defined as the percentage of people who converted among those who were given a certain situation or offering on your site. Conversion rates are what makes or breaks businesses. You may have a million monthly visitors but only four thousand monthly paying customers [2]
. The conversion from visit to purchase is 0.4%, which is generally a very bad conversion rate.
Low conversion rates keep the top business executives up at night. The reason being there are many variables at play that contribute to an increase or decrease in conversions. Some examples are seasonality, the quality of traffic, assortment, user experience, navigability, promotions, and customer service. Adding to the complexity of figuring out the causes of conversion rates is how these variables affect each other [3]
.
There are situations where improving the conversion rate in one step of the funnel causes a decrease in conversion rate at another step of the funnel. For example, you may be optimizing your conversion rate from free trial to purchase by asking people to input their credit card information upon signup. But doing so can add friction to the ease of creating an account for a free trial. As a result, you’ll probably see a decrease in your signup conversion rate.
If you’re constantly making changes in the hopes of optimizing conversion rates, the key is to monitor the overall effect of the fluctuations across affected steps of the funnel. Say your funnel involves three steps: A, B, and C. Below is a simplified example of the results of a split test where you tried to optimize conversion from steps A to B.
Current Version
- Conversion from A to B is 50%
- Conversion from B to C is 50%
Experimental Version (optimized A to B)
- Conversion from A to B is 90%
- Conversion from B to C is 20%
At first glance, it seems reasonable to go with the experimental version since the 40% lift in conversion from A to B (50% to 90%) have “outweighed” the 30% decrease in conversion from B to C (50% to 20%). But it’s the conversion rate from A to C that should ultimately be considered. The current version’s A-C conversion is (100% x 50% x 50%) = 25%. While the experimental version’s A-C conversion is (100% x 90% x 20%) = 18%. Thus, the current version is still better than the experimental one.
How effective are your landing pages?
A landing page is the first page viewed for any given visitor. The optimal setup is to have several landing pages, each suited to welcome incoming traffic driven by marketing campaigns targeting specific demographics. Landing pages usually get the biggest share of traffic across all of your site’s pages. They’re usually located at the start of the funnel and represent the last point of contact for marketing. From then on, it’s already the function of the site that’s responsible on delivering what was written and promised on the marketing content.
The most important conversion rate to monitor on a landing page is its bounce rate. The bounce rate of a page represents the percentage of visits where the first page viewed is that page and it was the only page viewed by that visit. In simpler terms, the bounce rate of a page is the percentage of single-page visits on that page.
Bounce rates are important because it gives us a measure of interest (or disinterest) on your landing pages. Ideally, your landing pages should be able to address two things:
- Capture the interest of people who’ve never heard of your site before
- Give returning visitors useful content to consume
[4]
.
It’s all about making people who just entered or returned to your site react positively to your offering. If they’re interested, they go to another part of your site to know more about your offer, and they won’t count as a bounce. The bounce rate is a simple metric to start with in order to quantify engagement at the start of the funnel.
How engaged are your visitors?
Engagement is all about the degree in which people who come to your site become convinced of your calls to action, love your content, share it with others, explore other parts of your site on their own, contribute their own content, or constantly use your service.
How do you measure engagement? I’ll give you some examples:
- For content sites that publish articles, news, and stories, the average time spent among visitors viewing an article is indicative of them taking their time to consume the content. Also, the degree of activity in the comments section or discussion pages can be a measure of engagement.
- For ecommerce sites, user-submitted product reviews can provide insights on how engaged buyers of your products are. Waitlists for out-of-stock products can help map out the needs of your prospective buyers.
- For SaaS services, growth in the number of active users compared to new signups over time is an important measure of engagement. The definition of an active user will vary on several variables. The most common definition depends on how frequently you expect people to use your app. For example, an active user for a “weekend” app can be defined as someone who consistently uses your app every weekend.
An often overlooked mindset that online businesses make when it comes to figuring out how to measure engagement is to relate those metrics to revenue. Engagement should ultimately be a measure of the propensity of your visitors to eventually perform actions that contribute to your revenue. You shouldn’t be happy with a highly engaged audience if you’re not really converting enough of them towards revenue. We’re not here to play the vanity metrics game.
A million people visit an online retail site. No one buys anything. Press declares retail site a massive success!
Every online business must achieve profitability at some point, and be sustainable moving forward. Which brings us to the most important metric: revenue.
What user actions give you revenue?
We’ve finally come to the part of the funnel that’s the lifeblood of every business. This is where we can fully encourage activities that drive revenue. When you’re only starting out, you need to monitor aspects of your site that you think may encourage visitors to take action towards a purchase, i.e. conversion to revenue [5]
.
For e-commerce businesses in particular, conversion to revenue means anyone who checks out and pays for the items in her cart. For SaaS businesses, it’s a user who subscribes to a paid plan, along with paid add-ons or enhancements to the plan.
It’s possible to drive revenue at the start of the funnel and it seems intuitive to do so because landing pages get the most traffic. But this is far from ideal. Forcing visitors to put out their wallets immediately after landing on your site will probably be a disaster. Your best shot in converting visitors to buyers is to condition them or guide them towards making a purchase, i.e. a purchase that they’re willing to make.
Make every conversion to revenue the result of an informed decision.
This may seem contrary to typical sales advice wherein the more you hustle, the more deals you close. But do what you can in your power to make every conversion to revenue the result of an informed decision. Giving your users enough guidance for them to be willing to pay is to your advantage. First, it builds brand loyalty and awareness. You’ll get really happy customers who would be willing to tell the good news to others. Second, they’ll have you on top of their minds when they need to purchase the same product again. Third, you can create mechanisms to receive very helpful feedback from visitors who had a pleasant experience but in the end still refrained from making a purchase.
It’s a wrap!
So there goes your overview! The items above aren’t exhaustive, but should help you think about data and how your business as-a-whole is performing in terms of actual events happening on-site.
I hope this article gave you a sense of some key metrics that you should be measuring, and will encourage your business to discuss further what other data points need to be collected. My hope is that such data should provide a richer picture of how your business is performing and help you become more data-driven in coming up with business strategies.
Footnotes
[1]
These are mostly time-based or time-sensitive data that needs to be collected at the moment of the event. On a lighter note, there are types of the data that weren’t measured, but can still be inferred from currently available data.
[2]
Normally, customer acquisition cost, churn, and projected lifetime value are also taken into account.
[3]
For data scientists, monitoring correlations among conversion rates across the funnel is a pastime activity.
[4]
Even for SaaS, returning visitors to your landing pages are mostly people who are still assessing whether they’ll use your software or not. Active or signed up users of your product will more or less be already logged into your app’s dashboard, or will enter your site on the login page. Even if they enter your site via your landing page just to get to your login page, they won’t count as bounce.
[5]
In general, it’s any user’s actions that contribute to revenue. Some online businesses, like high-traffic content sites, do not depend on purchases for revenue.  For our purposes, we’ll use the term “buyer” to denote a user whose actions generated revenue for your business.


mobile ready, touch swipe
finger catchable right to left
responsive, scale smoothly
image, text, and custom layers
tons of transition type
visual slider editor
play in and play out
time lined layer animation
This is full customized content layer.
Everything is allowed
You can put
a link
or an image
here.


dropuser - remove a PostgreSQL user account
dropuser [connection-option...] [option...] [username]
dropuser removes an existing PostgreSQL user. Only superusers and users with the CREATEROLE privilege can remove PostgreSQL users. (To remove a superuser, you must yourself be a superuser.)
dropuser is a wrapper around the SQL command DROP ROLE (DROP_ROLE(7)). There is no effective difference between dropping users via this utility and via other methods for accessing the server.
dropuser accepts the following command-line arguments:
username
Specifies the name of the PostgreSQL user to be removed. You will be prompted for a name if none is specified on the command line and the -i/--interactive option is used.
-e
--echo
Echo the commands that dropuser generates and sends to the server.
-i
--interactive
Prompt for confirmation before actually removing the user, and prompt for the user name if none is specified on the command line.
-V
--version
Print the dropuser version and exit.
--if-exists
Do not throw an error if the user does not exist. A notice is issued in this case.
-?
--help
Show help about dropuser command line arguments, and exit.
dropuser also accepts the following command-line arguments for connection parameters:
-h host
--host=host
Specifies the host name of the machine on which the server is running. If the value begins with a slash, it is used as the directory for the Unix domain socket.
-p port
--port=port
Specifies the TCP port or local Unix domain socket file extension on which the server is listening for connections.
-U username
--username=username
User name to connect as (not the user name to drop).
-w
--no-password
Never issue a password prompt. If the server requires password authentication and a password is not available by other means such as a .pgpass file, the connection attempt will fail. This option can be useful in batch jobs and scripts where no user is present to enter a password.
-W
--password
Force dropuser to prompt for a password before connecting to a database.
This option is never essential, since dropuser will automatically prompt for a password if the server demands password authentication. However, dropuser will waste a connection attempt finding out that the server wants a password. In some cases it is worth typing -W to avoid the extra connection attempt.
PGHOST
PGPORT
PGUSER
Default connection parameters
This utility, like most other PostgreSQL utilities, also uses the environment variables supported by libpq (see Section 31.14, (lqEnvironment Variables(rq, in the documentation).
In case of difficulty, see DROP ROLE (DROP_ROLE(7)) and psql(1) for discussions of potential problems and error messages. The database server must be running at the targeted host. Also, any default connection settings and environment variables used by the libpq front-end library will apply.
To remove user joe from the default database server:
$ dropuser joe
To remove user joe using the server on host eden, port 5000, with verification and a peek at the underlying command:
$ dropuser -p 5000 -h eden -i -e joe Role "joe" will be permanently removed. Are you sure? (y/n) y DROP ROLE joe;
createuser(1), DROP ROLE (DROP_ROLE(7))


List of contact of "Your company name"
Export to CSV
Print
№
Name
Mobile
SIP Number
email
Position
Department


Family Expenses is a website to organize personal and family finances and to keep track of where and when the money goes.
Family Expenses staff is working on providing more functionalities to our website to improve users' experience and is open to any suggestions. Get in touch by submitting "Contact us" form or by emailing directly to orly.knop@gmail.com


You must specify conditions before you can define contrasts.
{% endif %} {% for contrast in contrasts %}| Condition | Weight |
|---|---|
| {{ cond.0.name }} | {{ cond.1.weight }} |
In the Cognitive Atlas, we define a contrast as any function over experimental conditions. The simplest contrast is the indicator value for a specific condition; more complex contrasts include linear or nonlinear functions of the indicator across different experimental conditions.
No indicators have yet been associated.
{% endfor %} {% if user.owner_or_admin %} {% endif %}An indicator is a specific quantitative or qualitative variable that is recorded for analysis. These may include behavioral variables (such as response time, accuracy, or other measures of performance) or physiological variables (including genetics, psychophysiology, or brain imaging data).


Before Change
LOGGER.debug("Uploaded %s", path)
// Return the url for the saved report.
full_path = os.path.join(self._bucketname, self._s3_key("index.html"))
return "https://%s/%s?id=%s" % (self._domain, full_path, report_id)
"""
After Change
yield self._s3_upload_report(report_id, report)
// Return the url for the saved report.
raise gen.Return("%s?id=%s" % (self._s3_url, report_id))
@run_on_executor
def _s3_upload_report(self, report_id, report):
// Figure out what we need to save


Will Ferrell Reveals How The ‘SNL’ Cowbell Sketch ‘Ruined’ Christopher Walken’s Life
by Corey AtadChristopher Walken is tired of being asked if he wants more cowbell.
On Thursday, Will Ferrell appeared on “The Tonight Show”, reminiscing with host Jimmy Fallon about their time on Global’s “Saturday Night Live”.
Among the sketches they brought up was the famous “More Cowbell”, which featured Walken as a music producer demanding “more cowbell” during the recording of “Don’t Fear the Reaper”.
“Here’s the crazy thing,” Ferrell told Fallon. “I go to see Christopher Walken years later, in a play.
He continued, imitating Walken, “‘People during curtain call bring cowbells. The other day I went for Italian food for lunch, and the waiter asked if I wanted more cowbell with my pasta bolognese.’ I think he’s really mad.”
Fallon also had Ferrell join him for a game of “Whisper Challenge”, in which one person wears headphones and has to guess a simple phrase the other person is reading out loud.
Things quickly went off the rails as Ferrell began reading off a long speech, beginning with, “I have a shoplifting problem.”
Later, instead of reading the name “Rum Tum Tugger”, Ferrell told a hilarious story about Fallon stealing his identity and starting a cult worshipping the actor Jonathan Lipnicki.
Also during the interview, the duo reminisced about other “SNL” sketches and hijinks.
Ferrell is hosting “Saturday Night Live” this Saturday, Nov. 23, at 11:30 p.m. ET/8:30 p.m. PT on Global.


MediaPipe Face Mesh - model image output
Test purpose
- Check that the media stream loads (if browser/device supports it)
- Check that we can load and use both Mediapipe (from a CDN) and its selfie segmentation model
- Apply the model to a live camera feed
- Apply filters to both the identified bodies, and to the background
Touch test: not required
Annotated code


Z. Cliffe Schreuders
by Scot Nelson
Slides created using AwesomeSlides converter by Z. Cliffe Schreuders
“If a bad guy can persuade you to run his program on your computer, it's not your computer anymore”
by versageek
by ccarlstead
by mjuhah
by misko13
by Grmisiti
by Grmisiti
Image by Xylit0l
Image by Xylit0l
by Incase.
No restrictions
by krossbow
by Tim Evanson


{% extends "layout-chs.html" %} {% block page_title %} File abridged accounts with Companies House {% endblock %} {% block proposition_header %} {% endblock %} {% block header_class %} {% endblock %} {% block content %} {% include "includes/phase_banner_beta.html" %} Back File abridged accounts with Companies House Before you start You'll need: your email address and password you used to sign up for the Companies House service the authentication code Companies House sent you If you’re filing for the first time You can register online. You’ll need your email address and create a password. Once registered, we’ll post an authentication code to your registered office. If your company already has a code, a reminder will be sent. Allow up to 5 days for delivery of your code. For security reasons your code can’t be provided by email or over the phone. File abridged accounts on the Companies House service {% endblock %}
You'll need:
You can register online. You’ll need your email address and create a password.
Once registered, we’ll post an authentication code to your registered office. If your company already has a code, a reminder will be sent.
Allow up to 5 days for delivery of your code.
For security reasons your code can’t be provided by email or over the phone.


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Dependency Engine
Dependency Engine for Deep Learning
We always want deep learning libraries to run faster and scale to larger datasets. One natural approach is to see if we can benefit from throwing more hardware at the problem, as by using multiple GPUs simultaneously.
Library designers then ask: How can we parallelize computation across devices? And, more importantly, how can we synchronize computation when we introduce multi-threading? A runtime dependency engine is a generic solution to these problems.
In this document, we examine approaches for using runtime dependency scheduling to accelerate deep learning. We aim to explain how runtime dependency scheduling can both speed up and simplify multi-device deep learning. We also explore potential designs for a generic dependency engine that could be both library- and operation-independent.
Most of the discussion of on this page draws inspiration from the MXNet dependency engine. The dependency tracking algorithm we discuss was primarily developed by Yutian Li and Mingjie Wang.
Dependency Scheduling
Although most users want to take advantage of parallel computation, most of us are more familiar with serial programs. So one natural question is: how can we write serial programs and build a library to automatically parallelize our programs in an asynchronous way?
For example, in the following code, we can run B = A + 1
and C = A + 2
in any order, or in parallel:
A = 2
B = A + 1
C = A + 2
D = B * C
However, it's quite hard to code the sequence manually
because the last operation, D = B * C
, needs to wait
for both of the preceding operations to complete before it starts.
The following dependency graph/data flow graph illustrates this.
A dependency engine is a library that takes a sequence of operations
and schedules them according to the dependency pattern, potentially in parallel.
So in this example, a dependency library
could run B = A + 1
and C = A + 2
in parallel,
and run D = B * C
after those operations complete.
Problems in Dependency Scheduling
A dependency engine relieves the burden of writing concurrent programs. However, as operations become parallelized, new dependency tracking problems arise. In this section, we discuss those problems.
Data Flow Dependency
Data flow dependency describes how the outcome of one computation can be used in other computations. Every dependency engine has to solve the data flow dependency problem.
Because we discussed this issue in the preceding section, we include the same figure here. Libraries that have data flow tracking engines include Minerva and Purine2.
Memory Recycling
When should we recycle the memory that we allocated to the arrays? In serial processing, this is easy to determine. We simply recycle the memory after the variable goes out of scope. However, as the following figure shows, this is a bit harder in parallel processing.
In this example, because both computations need to use values from A,
we can't recycle the memory until both complete.
The engine must schedule the memory recycling operations according to the dependencies,
and ensure that they are executed after both B = A + 1
and C = A + 2
complete.
Random Number Generation
Random number generators, which are commonly used in machine learning, pose interesting challenges for dependency engines. Consider the following example:
In this example, we are generating random numbers in a sequence. Although it seems that the two random number generations can be parallelized, this is usually not the case. A pseudo-random number generator (PRNG) is not thread-safe because it might cause some internal state to mutate when generating a new number. Even if the PRNG is thread-safe, it is preferable to serialize number generation, so we can get reproducible random numbers.
Case Study: A Dependency Engine for a Multi-GPU Neural Network
In the last section, we discussed the problems we might face in designing a dependency engine. Before thinking about how to design a generic engine to solve those problems, let's consider how a dependency engine can help in multi-GPU training of a neural network. The following pseudocode Python program illustrates training one batch on a two-layer neural network.
# Example of one iteration Two GPU neural Net
data = next_batch()
data[gpu0].copyfrom(data[0:50])
data[gpu1].copyfrom(data[50:100])
# forward, backprop on GPU 0
fc1[gpu0] = FullcForward(data[gpu0], fc1_weight[gpu0])
fc2[gpu0] = FullcForward(fc1[gpu0], fc2_weight[gpu0])
fc2_ograd[gpu0] = LossGrad(fc2[gpu0], label[0:50])
fc1_ograd[gpu0], fc2_wgrad[gpu0] =
FullcBackward(fc2_ograd[gpu0] , fc2_weight[gpu0])
_, fc1_wgrad[gpu0] = FullcBackward(fc1_ograd[gpu0] , fc1_weight[gpu0])
# forward, backprop on GPU 1
fc1[gpu1] = FullcForward(data[gpu1], fc1_weight[gpu1])
fc2[gpu1] = FullcForward(fc1[gpu1], fc2_weight[gpu1])
fc2_ograd[gpu1] = LossGrad(fc2[gpu1], label[50:100])
fc1_ograd[gpu1], fc2_wgrad[gpu1] =
FullcBackward(fc2_ograd[gpu1] , fc2_weight[gpu1])
_, fc1_wgrad[gpu1] = FullcBackward(fc1_ograd[gpu1] , fc1_weight[gpu1])
# aggregate gradient and update
fc1_wgrad[cpu] = fc1_wgrad[gpu0] + fc1_wgrad[gpu1]
fc2_wgrad[cpu] = fc2_wgrad[gpu0] + fc2_wgrad[gpu1]
fc1_weight[cpu] -= lr * fc1_wgrad[cpu]
fc2_weight[cpu] -= lr * fc2_wgrad[cpu]
fc1_weight[cpu].copyto(fc1_weight[gpu0] , fc1_weight[gpu1])
fc2_weight[cpu].copyto(fc2_weight[gpu0] , fc2_weight[gpu1])
In this program, the data 0 to 50 is copied to GPU 0, and the data 50 to 100 is copied to GPU 1. The calculated gradients are aggregated in the CPU, which then performs a simple SGD update, and copies the updated weight back to each GPU. This is a common way to write a parallel program in a serial manner. The following dependency graph shows how it can be parallelized:
Notes:
- The gradient can be copied to the CPU as soon as we get the gradient of a layer.
- The weight can be copied back soon as the weight is updated.
- In the forward pass, we have a dependency on
fc1_weight[cpu].copyto(fc1_weight[gpu0] , fc1_weight[gpu1])
from the previous iteration. - There is a delay in computation between the last backward pass to layer k and the next forward call to layer k. We can synchronize the weight of layer k in parallel with other computation during this delay.
This approach to optimization is used by multi-GPU deep learning libraries, such as CXXNet. The point is to overlap weight synchronization (communication) with computation. However, it's not easy to do that, because the copy operation needs to be triggered as soon as the backward pass of the layer completes, which then triggers the reduction, updates, etc.
A dependency engine can schedule these operations and perform multi-threading and dependency tracking.
Designing a Generic Dependency Engine
We hope that you're convinced that a dependency engine is useful for scaling deep learning programs to multiple devices. Now let's discuss how we can design and implement a generic interface for a dependency engine. This solution isn't the only possible design for a dependency engine. It's an example that we think is useful in most cases.
Our goal is to create a dependency engine that is generic and lightweight. Ideally, we'd like the engine that easily plugs into existing deep learning code, and that can scale up to multiple machines with minor modifications. To do that, we need to focus only on dependency tracking, not on assumptions about what users can or can't do.
Here's a summary of goals for the engine:
- The engine should not be aware of what operations it performs, so that users can perform any operations they define.
- It should not be restricted in what type of objects it can schedule.
- We should be able to schedule dependencies on GPU and CPU memory.
- We should be able to track dependencies on the random number generator, etc.
- The engine should not allocate resources. It should only track dependencies. Users can allocate their own memory, PRNG, etc.
The following Python snippet provides an engine interface that might help us reach our goal. Note that a real implementation will be closer to the metal, typically in C++.
class DepEngine(object):
def new_variable():
"""Return a new variable tag
Returns
-------
vtag : Variable Tag
The token of the engine to represent dependencies.
"""
pass
def push(exec_func, read_vars, mutate_vars):
"""Push the operation to the engine.
Parameters
----------
exec_func : callable
The real operation to be performed.
read_vars : list of Variable Tags
The list of variables this operation will read from.
mutate_vars : list of Variable Tags
The list of variables this operation will mutate.
"""
pass
Because we can't make assumptions about what objects we are scheduling, we ask the user to allocate a virtual tag that is associated with each object to represent what we need to schedule. So, at the beginning, the user can allocate the variable tag, and attach it to each of the objects that we want to schedule.
The user then calls push
to tell the engine about the function to execute.
The user also needs to specify the dependencies of the operation,
using read_vars
and write_vars
:
read_vars
are variable tags for objects that the operation will read from, without changing their internal state.mutate_vars
are variable tags for objects whose internal states the operation will mutate.
The preceding figure shows how to push operation B = A + 1
to the dependency engine. B.data
and
A.data
are the allocated space. Note that the engine is only aware of variable tags.
Any execution function can be processed.
This interface is generic for the operations and resources we want to schedule.
For fun, let's look at how the engine internals work with the tags by considering the following code snippet:
B = A + 1
C = A + 2
A = C * 2
D = A + 3
The first line reads variable A
and mutates variable B
. The second line reads variable A
and mutates variable C
. And so on.
The engine maintains a queue for each variable, as the following animation shows for each of the four lines. Green blocks represents a read action, while red blocks represent mutations.
Upon building this queue, the engine sees that the first two green blocks at the beginning of A
's queue could actually be run in parallel because they are both read actions and won't conflict with each other. The following graph illustrates this point.
One cool thing about all this scheduling is that it's not confined to numerical calculations. Because everything that is scheduled is only a tag, the engine could schedule everything!
The following figure gives a complete push sequence of the programs we mentioned in previous sections.
Porting Existing Code to the Dependency Engine
Because the generic interface doesn't control things like memory allocation and which operation to execute, most existing code can be scheduled by the dependency engine in two steps:
- Allocate the variable tags associated with resources like memory blob, PRNGS.
- Call
push
with the execution function as the original code to execute, and put the variable tags of corresponding resources correctly inread_vars
andmutate_vars
.
Implementing the Generic Dependency Engine
We have described the generic engine interface and how it can be used to schedule various operations. In this section, we provide a high-level discussion of how to implement such an engine.
The general idea is as follows:
- Use a queue to track all of the pending dependencies on each variable tag.
- Use a counter on each operation to track how many dependencies are yet to be fulfilled.
- When operations are completed, update the state of the queue and dependency counters to schedule new operations.
The following figure illustrates the scheduling algorithm and might give you a better sense of what is going on in the engine.
Below, we show another example involving random number generators.
As you can see, the purpose of the algorithm is to update pending queues of operations and to make the right state transition when an operation has completed. More care should be taken to make sure the state transitions are done in a way that's safe for threads.
Separate Dependency Tracking with Running Policy
If you're reading carefully, you might have noticed that the preceding section shows only the algorithm for deciding when an operation can be executed. We didn't show how to actually run an operation. In practice, there can be many different policies. For example, we can either use a global thread-pool to run all operations, or use a specific thread to run operations on each device.
This running policy is usually independent of dependency tracking, and can be separated out as either an independent module or a virtual interface of base-dependency tracking modules. Developing an elegant runtime policy that is fair to all operations and schedules is an interesting systems problem itself.
Discussion
The design that we discussed in this article isn't the only solution to the dependency tracking problem. It's just one example of how we might approach this. To be sure, some of these design choices are debatable. We'll discuss some of them in this section.
Dynamic vs. Static
The dependency engine interface discussed in this topic is somewhat dynamic in the sense that the user can push operations one by one, instead of declaring the entire dependency graph (static). Dynamic scheduling can require more overhead than static declarations, in terms of data structure. However, it also enables more flexibility, such as supporting auto parallelism for imperative programs or a mixture of imperative and symbolic programs. You can also add some level of predeclared operations to the interface to enable data structure reuse.
Mutation vs. Immutable
The generic engine interface presented in this page supports explicit scheduling for mutation. In a typical data flow engine, the data are usually immutable. Working with immutable data has a lot of benefits. For example, immutable data is generally more suitable for parallelization, and facilitates better fault tolerance in a distributed setting (by way of re-computation).
However, immutability presents several challenges:
- It's harder to schedule resource contention problems, as arise when dealing with random numbers and deletion.
- The engine usually needs to manage resources (memory, random number) to avoid conflicts. It's harder to plug in user-allocated space, etc.
- Preallocated static memory isn't available, again because the usual pattern is to write to a preallocated layer space, which is not supported if data is immutable.
Allowing mutation mitigates these issues.
Source Code of the Generic Dependency Engine
MXNet provides an implementation of the generic dependency engine described in this page. You can find more details in this topic. We welcome your contributions.


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_BigInt
public struct _BigInt<Word: FixedWidthInteger & UnsignedInteger> :
BinaryInteger, SignedInteger, CustomStringConvertible,
CustomDebugStringConvertible
where Word.Magnitude == Word
A dynamically-sized signed integer.
The _BigInt
type is fully generic on the size of its word
– the
BigInt
alias uses the system’s word-sized UInt
as its word type, but
any word size should work properly.
-
A Boolean value indicating whether this instance is negative.
Declaration
Swift
public private(set) var isNegative: Bool { get }
-
A Boolean value indicating whether this instance is equal to zero.
Declaration
Swift
public var isZero: Bool { get }
-
Creates a new instance equal to zero.
Declaration
Swift
public init()
-
Declaration
Swift
public init(integerLiteral value: Int)
-
Declaration
Swift
public init<T>(_ source: T) where T : BinaryInteger
-
Declaration
Swift
public init?<T>(exactly source: T) where T : BinaryInteger
-
Declaration
Swift
public init<T>(truncatingIfNeeded source: T) where T : BinaryInteger
-
Declaration
Swift
public init<T>(clamping source: T) where T : BinaryInteger
-
Declaration
Swift
public init<T>(_ source: T) where T : BinaryFloatingPoint
-
Declaration
Swift
public init?<T>(exactly source: T) where T : BinaryFloatingPoint
-
Creates a new instance whose magnitude has
randomBits
bits of random data. The sign of the new value is randomly selected.Declaration
Swift
public init(randomBits: Int)
-
Declaration
Swift
public typealias Magnitude = _BigInt
-
Declaration
Swift
public var magnitude: _BigInt { get }
-
Declaration
Swift
public static func += (lhs: inout _BigInt, rhs: _BigInt)
-
Declaration
Swift
public static func -= (lhs: inout _BigInt, rhs: _BigInt)
-
Declaration
Swift
public static func *= (lhs: inout _BigInt, rhs: _BigInt)
-
Declaration
Swift
public static func /= (lhs: inout _BigInt, rhs: _BigInt)
-
Declaration
Swift
public static func + (lhs: _BigInt, rhs: _BigInt) -> _BigInt
-
Declaration
Swift
public static func - (lhs: _BigInt, rhs: _BigInt) -> _BigInt
-
Declaration
Swift
public static func * (lhs: _BigInt, rhs: _BigInt) -> _BigInt
-
Declaration
Swift
public static func / (lhs: _BigInt, rhs: _BigInt) -> _BigInt
-
Declaration
Swift
public static func % (lhs: _BigInt, rhs: _BigInt) -> _BigInt
-
Declaration
Swift
public var words: [UInt] { get }
-
The number of bits used for storage of this value. Always a multiple of
Word.bitWidth
.Declaration
Swift
public var bitWidth: Int { get }
-
The number of sequential zeros in the least-significant position of this value’s binary representation.
The numbers 1 and zero have zero trailing zeros.
Declaration
Swift
public var trailingZeroBitCount: Int { get }
-
Declaration
Swift
public static func %= (lhs: inout _BigInt, rhs: _BigInt)
-
Declaration
Swift
public func quotientAndRemainder(dividingBy rhs: _BigInt) -> (_BigInt, _BigInt)
-
Declaration
Swift
public static func &= (lhs: inout _BigInt, rhs: _BigInt)
-
Declaration
Swift
public static func |= (lhs: inout _BigInt, rhs: _BigInt)
-
Declaration
Swift
public static func ^= (lhs: inout _BigInt, rhs: _BigInt)
-
Declaration
Swift
public prefix static func ~ (x: _BigInt) -> _BigInt
-
Declaration
Swift
public prefix static func - (x: inout _BigInt)
-
Declaration
Swift
public func distance(to other: _BigInt) -> _BigInt
-
Declaration
Swift
public func advanced(by n: _BigInt) -> _BigInt
-
Returns the greatest common divisor for this value and
other
.Declaration
Swift
public func greatestCommonDivisor(with other: _BigInt) -> _BigInt
-
Returns the lowest common multiple for this value and
other
.Declaration
Swift
public func lowestCommonMultiple(with other: _BigInt) -> _BigInt
-
Creates a new instance from the given string.
Declaration
Swift
public init?(_ source: String, radix: Int = 10)
Parameters
source
The string to parse for the new instance’s value. If a character in
source
is not in the range0...9
ora...z
, case insensitive, or is not less thanradix
, the result isnil
.radix
The radix to use when parsing
source
.radix
must be in the range2...36
. The default is10
. -
Returns a string representation of this instance.
Declaration
Swift
public func toString(radix: Int = 10, lowercase: Bool = true) -> String
Parameters
radix
The radix to use when converting this instance to a string. The value passed as
radix
must be in the range2...36
. The default is10
.lowercase
Whether to use lowercase letters to represent digits greater than 10. The default is
true
. -
Declaration
Swift
public var description: String { get }
-
Declaration
Swift
public var debugDescription: String { get }
-
A string representation of this instance’s value in base 2.
Declaration
Swift
public var binaryString: String { get }
-
A string representation of this instance’s value in base 10.
Declaration
Swift
public var decimalString: String { get }
-
A string representation of this instance’s value in base 16.
Declaration
Swift
public var hexString: String { get }
-
A string representation of this instance’s value in base 36.
Declaration
Swift
public var compactString: String { get }
-
Declaration
Swift
public static func == (lhs: _BigInt, rhs: _BigInt) -> Bool
-
Declaration
Swift
public static func < (lhs: _BigInt, rhs: _BigInt) -> Bool
-
Declaration
Swift
public func hash(into hasher: inout Hasher)
-
Declaration
Swift
public static func <<= <RHS>(lhs: inout _BigInt, rhs: RHS) where RHS : BinaryInteger
-
Declaration
Swift
public static func >>= <RHS>(lhs: inout _BigInt, rhs: RHS) where RHS : BinaryInteger


--- layout: example categories: example/v1.0.0 version: v1.0.0 title: Custom marker styles for imported data description: Customize colors and icons of markers based on attributes in imported data. tags: - omnivore ---


The logging
mode. This can be changed to see more or less details. It can also be
exploited in your own logging
using the import('dffrnt.utils').LG
functions
.
The Port Number
this web-server will listen on.
An object specifiying paths to SSL
files. This is null
, if SSL/HTTPS/2
is not
required. If it is configured, and the {@link CFG.Settings.SSL.Cert} and/or {@link CFG.Settings.SSL.Key}
files are nowhere to be found, you'll obviously have issues.
An optional
list of any URLs
pointing to auth
/rest
Spaces
(see: {@link CFGSpaces}) that this particular
web-server may need to connect to remotely. This allows you to customize the FQDN
of any auth
/rest
Spaces
you've configured without breaking the whole system (lol).
A Space
is really just a Socket.IO.Namespace
that Client-Browsers and instances of dffrnt.api
can
connect to. Depending on the implementation of dffrnt.api
, certain Spaces
will be required to connect
to another auth
/rest
Space
-- even if all of said Spaces
are within the same instance:
| Instance | Requirement |
|---|---|
auth only |
Needs a remote connection to it's internal Namespace. |
rest only |
Needs a remote connection to an auth-Space (if using authentication). |
page only |
Needs a remote connection to a rest-Space (unless page data is all static). |
auth +rest |
Needs a remote connection to a auth-Space . |
rest +page |
Needs a remote connection to a rest-Space . |
auth +rest +page |
Needs a remote connection to an auth-Space and a rest-Space . |
If this property is not set, the system will assume ${protocol}://localhost/gbl-${spaceName}
, where
${spaceName}
is the name
provided for any given auth
/rest
Space
in {@link CFGSpace.config}.
These can refer to Spaces
that are internal, as well as external to this particular web-server. This can be
useful when there becomes a need to "break up" the functionality into separate web-server. Take this project
structure, for example:
[Your-Machine]
├── dffrnt.api-auth/ >> This web-server will handle the Authentication @ https://localhost:7443/gbl-auth
├── dffrnt.api-rest/ >> This web-server will handle the Data Requests @ https://localhost:8443/gbl-rest
└── dffrnt.api-view/ >> This web-server is the Web-App for the Clients @ https://mysite.com
The settings for each instance would be configured as follows:
// [Your-Machine]/dffrnt.api-auth/config/settings.cfg.js
module.exports = {
// Needs a remote connection to it's internal Namespace.
Services: ["https://localhost:7443/gbl-auth"]
};
// [Your-Machine]/dffrnt.api-auth/config/settings.cfg.js
module.exports = {
// Needs a remote connection the auth-Space.
Services: ["https://localhost:7443/gbl-auth"]
};
// [Your-Machine]/dffrnt.api-auth/config/settings.cfg.js
module.exports = {
// Needs a remote connection to the auth-Space, and the rest-Space.
Services: ["https://localhost:7443/gbl-auth","https://localhost:8443/gbl-rest"]
};
In the scenario above, you have a single-machine running 3-instances of dffrnt.api
. Each are
configured accordingly to handle their specified tasks.
But what if you wanted to take the separation even further? Like using separate machines for each instance? For example
[Machine-1]
├── dffrnt.api-auth/ >> This machine will handle the Authentication @ Port 443 (https://auth.mysite.com)
[Machine-3]
├── dffrnt.api-rest/ >> This machine will handle the Data Requests @ Port 443 (https://rest.mysite.com)
[Machine-3]
└── dffrnt.api-view/ >> This machine will is the actual WebApp @ Port 443 (https://mysite.com)
The settings for each would be configured as follows:
// [Machine-1]/dffrnt.api-auth/config/settings.cfg.js
module.exports = {
// Needs a remote connection to it's internal Namespace.
Services: ["https://auth.mysite.com"]
};
// [Machine-2]/dffrnt.api-auth/config/settings.cfg.js
module.exports = {
// Needs a remote connection the auth-Space.
Services: ["https://auth.mysite.com"]
};
// [Machine-3]/dffrnt.api-auth/config/settings.cfg.js
module.exports = {
// Needs a remote connection to the auth-Space, and the rest-Space.
Services: ["https://auth.mysite.com","https://rest.mysite.com"]
};
You could take it even further, setting up multiple instances of each implementation, every one
of them on their own machine, use NGinX
(or something) to load-balance each Service
and
these config-settings would still apply. Unfortunately, I don't have the time or patience to
write up that example.
dffrnt.api
comes with OpenAPI 3.0
support by automagically (lol) creating REST
documentation
for any EndPoints
created within your App
. That said, the top-level description of your REST-API
is up to you to define.
Once the application-server is up and running, the JSON
document can be found at /apidocs
.
This is shot-for-shot the same info
, externalDocs
, and servers
object described in the
OpenAPI 3.0 spec (execpt for the openapi
version), so
check that out to get an idea of what goes where. Any other objects are defined... _automagically (LOL).
{
info: {
title: "My API",
description: "It's an API Doc.",
termsOfService: "https://www.mysite/terms",
contact: {
name: "My Site Support",
email<EMAIL_ADDRESS>url: "https://www.mysite/support",
},
version: "2.1.8"
},
}
A collection of STTG.Folder configurations for file-serving.
The dffrnt.api
framework automatically installs and uses two predefined
-- and reserved
-- STTG.Folders, Publics
& Uploads
. These folder
configurations are required
internally, but can be altered by redifining them
here; however, doing so -- particularily, with Publics
-- could potentially introduce
problems. That said, do it at your own risk, and only if you know what you're doing.
This is where various, public, browser-related files/folders go:
| Location | Description |
|---|---|
public/comps |
Bower components. |
public/css |
CSS files. |
public/less |
LESS files; if using. |
public/fonts |
Various Font files. |
public/html |
Extra HTML files. |
public/images |
Site Images . |
public/images/icons |
Site Icons |
public/js |
Important JavaScript bundles, and extra files (if needed). |
{
Publics: {
Folder: 'public',
Age: 365*86400,
Matcher: /\?(?:\w+=.+)$/,
},
}
This is where any uploads to your site will go. The name and structure of this directory is entirely up to you.
{
Uploads: {
Folder: 'storage',
Age: 365*86400,
Matcher: /\?(?:\w+=.+)$/,
},
}
Configurations for session-handling, authentication, and call-limits.
An arbitrary string
used to sign sessions
. The longer the better.
The maximum Age
of saved (In
) & unsave (Out
) SessionCookies
.
This is the maximum Age
-- in milliseconds -- of an unsaved SessionCookie
. This
should be shorter than the Session.Age.In
value.
This is the maximum Age
-- in milliseconds -- of an saved SessionCookie
. A
SessionCookie
is saved when a User
is considered logge-in
. This should be longer
than the Session.Age.Out
value.
Configurations for the REDIS
server. This is used for sessions, but any non-reserved
DBs
are exposed to CFG.AuthPoints & CFG.DataPoints configuration. Those would be declared
here and can serve any purpose you want them to.
Reserved
DBs
are as follows. Their Index
properties can be changed (if you already have DBs
in-use),
but their Name
must remain the same. (IT's a weird way to do things, I know, but REDIS
only use indexes to reference their DBs
.)
The properties
used to connect to your REDIS
server.
The url
/ip-address
of your REDIS
server.
The port-number
of your REDIS
server.
The password
of your REDIS
server.
This is the DB
where all session-data is stored. The Index
can be changed; the Name
cannot be.
The other stores. The 3 list here are resvered
, but you can add more if you'd
like. The Indexes
of the reserved
stores can be changed; their Names
cannot
be.
...
...
An collection of optional
Plugins
that you can define and use within
config/authpoints.cfg.js
& config/endpoints.cfg.js
via the Plugins
object.
Configurations for this
Application
server.Example
These are placed in
config/settings.cfg.js
.module.exports = { Debug: false, Port: 8080, SSL: { Cert: "./mysite.chain.pem", Key: "./mysite.key.pem", }, Services: [ 'http://localhost:8080/gbl-accessor', 'http://localhost:8080/gbl-rest', ], APIDoc: { ... }, Folders: { Publics: { Folder: 'public', Age: 365*86400, Matcher: /\?(?:\w+=.+)$/, Headers: null, }, Uploads: { ... }, }, Session: { Secret: "¿mYd0GiS!nmYeyE&shEs4yS@uE?", Age: { In: ((1000*60*60)*24), Out: (1000*300) }, REDIS: { Config: { Host: 'localhost', Port: 6379, Password: 'p@55w012d', }, Main: { Index: 0, Name: 'Client' }, Stores: [ { Index: 1, Name: 'Users' }, { Index: 2, Name: 'Limits' }, { Index: 3, Name: 'Lockers' }, ] }, Auth: { Flush: false, SQL: { Login: "SELECT user_name, password FROM users WHERE user_name = ?", Profile: "SELECT * FROM users WHERE id = ?" }, Format: { Account: 'user_name', Profile: [ ... ], Scopes: [ ... ] } }, Limits: { All: { "IP/Day": { total: 5000, method: 'all', lookup: ['connection.remoteAddress'], }, }, Optional: { "Constant/Second": { total: 200, method: 'get', lookup: ['connection.remoteAddress'] } } } } };


EmuTarkov emulates the official Escape From Tarkov experience by providing an offline server that 'communicates' with the game client as if it were online. EmuTarkov does not in any way support LAN gameplay. This is strictly a single player PVE experience.
EmuTarkov successfully implements progression through Offline Raids. Players do not have to worry about losing their full Tri-Zip or all of the experience gained from mowing down scavs in Customs or Interchange after successfully extracting. But, don't forget, your health, hydration and energy all persist after exiting a raid. So don't forget to drink a bottle of water and open up an MRE before going to the next raid. Don't let hunger stop you from becoming a hero from zero!
Let's say you are a visionary. You think that an MPX should fire .50cal rounds, an IFAK should restore 1000 hit points, or maybe you think a gun should have your favorite anime character skin. Well, good news for you. EmuTarkov is fully moddable and you can make any weapon fire any cartridge, make medkits that heal 1000 hitpoints, or modify item skins to match your preferences.


The world's rainforests are currently disappearing at a rate of 6000 acres every hour (this is about 4000 football fields per hour). When these forests are cut down, the plants and animals that live in the forests are destroyed, and some species are at risk of being made extinct. Further, as the large-scale harvesting of lumber from the rain forests continues, the balance of the earth's eco-system is disrupted. We need the rain forests to produce oxygen and clean the atmosphere to help us breathe. We also know that the earth's climate can be affected, as well as the water cycle. Rainforests also provide us with many valuable medicinal plants, and may be a source of a cure from some deadly diseases
Help us safe the rainforest.


--- layout: post title: ! 'Guide: Environments in Rails 1.1' categories: - documentation - launches author: marcel published: true date: 2006-05-22 12:03:00.000000000 +01:00 ---
As mentioned last week, Kevin Clark is taking your suggestions and developing weekly guides that cover the ins and outs of Rails.
He’s delivered on his first guide: Environments in Rails 1.1. The accompaying Cheat Sheet is particularly noteworthy. It lists all the various configuration options available to you, with a brief description of the purpose they serve.
To have your say on what Kevin covers next, send him your suggestion at kevin dot clark at gmail dot com with [idea] in the subject.


{% extends "base.html" %} {% block title %}
Medieval catalogues > UNIVERSITY AND COLLEGE LIBRARIES OF OXFORD > Merton College > Books received from William Romsey and others, 2 Aug. 1494.
{% endif %}35 identified entries found.
All data was derived from the List of Identifications by Professor Richard Sharpe.
{% if not printing %}
A key to codes used in the List is available (opens in new tab).{% endif %}


Velle : Time for an upgrade?
Hello! You've taken two trips with Velle this year. If you'd like more of Velle (and we really hope you do), please upgrade to Velle PowerUSER at only $8/month!
Sign Me Up!Hello! You've taken two trips with Velle this year. If you'd like more of Velle (and we really hope you do), please upgrade to Velle PowerUSER at only $8/month!
Sign Me Up!


|
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java.lang.Object org.apache.xalan.templates.TemplateList
public class TemplateList
Encapsulates a template list, and helps locate individual templates.
| Nested Class Summary | |
|---|---|
class |
TemplateList.TemplateWalker
An inner class used by a compiler to iterate over all of the ElemTemplates stored in this TemplateList. |
| Constructor Summary | |
|---|---|
TemplateList()
Construct a TemplateList object. |
| Method Summary | |
|---|---|
void |
compose(StylesheetRoot sroot)
After all templates have been added, this function should be called. |
org.apache.xalan.templates.TemplateSubPatternAssociation |
getHead(XPathContext xctxt,
int targetNode,
DTM dtm)
Get the head of the most likely list of associations to check, based on the name and type of the targetNode argument. |
ElemTemplate |
getTemplate(QName qname)
Locate a named template. |
ElemTemplate |
getTemplate(XPathContext xctxt,
int targetNode,
QName mode,
boolean quietConflictWarnings,
DTM dtm)
Given a target element, find the template that best matches in the given XSL document, according to the rules specified in the xsl draft. |
ElemTemplate |
getTemplate(XPathContext xctxt,
int targetNode,
QName mode,
int maxImportLevel,
int endImportLevel,
boolean quietConflictWarnings,
DTM dtm)
Given a target element, find the template that best matches in the given XSL document, according to the rules specified in the xsl draft. |
ElemTemplate |
getTemplateFast(XPathContext xctxt,
int targetNode,
int expTypeID,
QName mode,
int maxImportLevel,
boolean quietConflictWarnings,
DTM dtm)
Given a target element, find the template that best matches in the given XSL document, according to the rules specified in the xsl draft. |
TemplateList.TemplateWalker |
getWalker()
Get a TemplateWalker for use by a compiler. |
void |
setTemplate(ElemTemplate template)
Add a template to the table of named templates and/or the table of templates with match patterns. |
| Methods inherited from class java.lang.Object |
|---|
equals, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait |
| Constructor Detail |
|---|
public TemplateList()
| Method Detail |
|---|
public void setTemplate(ElemTemplate template)
template
- public void compose(StylesheetRoot sroot)
public ElemTemplate getTemplate(QName qname)
qname
- Qualified name of the template.
public org.apache.xalan.templates.TemplateSubPatternAssociation getHead(XPathContext xctxt, int targetNode, DTM dtm)
xctxt
- The XPath runtime context.targetNode
- The target node that will be checked for a match.dtm
- The dtm owner for the target node.
public ElemTemplate getTemplateFast(XPathContext xctxt, int targetNode, int expTypeID, QName mode, int maxImportLevel, boolean quietConflictWarnings, DTM dtm) throws javax.xml.transform.TransformerException
xctxt
- targetNode
- mode
- A string indicating the display mode.maxImportLevel
- The maximum importCountComposed that we should consider or -1
if we should consider all import levels. This is used by apply-imports to
access templates that have been overridden.quietConflictWarnings
-
XSLProcessorException
- thrown if the active ProblemListener and XPathContext decide
the error condition is severe enough to halt processing.
javax.xml.transform.TransformerException
public ElemTemplate getTemplate(XPathContext xctxt, int targetNode, QName mode, boolean quietConflictWarnings, DTM dtm) throws javax.xml.transform.TransformerException
xctxt
- targetNode
- mode
- A string indicating the display mode.quietConflictWarnings
-
XSLProcessorException
- thrown if the active ProblemListener and XPathContext decide
the error condition is severe enough to halt processing.
javax.xml.transform.TransformerException
public ElemTemplate getTemplate(XPathContext xctxt, int targetNode, QName mode, int maxImportLevel, int endImportLevel, boolean quietConflictWarnings, DTM dtm) throws javax.xml.transform.TransformerException
xctxt
- targetNode
- mode
- A string indicating the display mode.maxImportLevel
- The maximum importCountComposed that we should consider or -1
if we should consider all import levels. This is used by apply-imports to
access templates that have been overridden.endImportLevel
- The count of composed importsquietConflictWarnings
-
XSLProcessorException
- thrown if the active ProblemListener and XPathContext decide
the error condition is severe enough to halt processing.
javax.xml.transform.TransformerException
public TemplateList.TemplateWalker getWalker()
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Provides the functionality to write LaTeX code from within R without having to learn LaTeX. Functionality also exists to create HTML and Markdown code. While the functionality still exists to write complete documents with lazyWeave, it is generally easier to do so with with markdown and knitr. lazyWeave's main strength now is the ability to design custom and complex tables for reporting results.
| Version: | 3.0.2 |
| Depends: | R (≥ 2.10.0) |
| Imports: | Hmisc, labelVector |
| Suggests: | testthat |
| Published: | 2018-01-25 |
| Author: | Benjamin Nutter [aut, cre] |
| Maintainer: | Benjamin Nutter <benjamin.nutter at gmail.com> |
| License: | GPL-2 | GPL-3 [expanded from: GPL] |
| NeedsCompilation: | no |
| Materials: | README NEWS |
| In views: | ReproducibleResearch |
| CRAN checks: | lazyWeave results |
| Reference manual: | lazyWeave.pdf |
| Package source: | lazyWeave_3.0.2.tar.gz |
| Windows binaries: | r-devel: lazyWeave_3.0.2.zip, r-release: lazyWeave_3.0.2.zip, r-oldrel: lazyWeave_3.0.2.zip |
| OS X binaries: | r-release: lazyWeave_3.0.2.tgz, r-oldrel: lazyWeave_3.0.2.tgz |
| Old sources: | lazyWeave archive |
Please use the canonical form https://CRAN.R-project.org/package=lazyWeave to link to this page.


--- title: Sendero Luminoso subtitle: Profile layout: default modal-id: 5 thumbnail: sendero-luminoso.jpg alt: Sendero Luminoso ---
Lights out. A crash is heard from down the street. The familiar echo of the explosion elicits no reaction but the slightest shifts in people's beds, the only worry is how long it will be before the power returns. Adaptation is something that Peruvians had to learn during the 1980s. Lack of water and common goods, curfews, and constant fear were things that Peruvians had to learn to become accustomed to.  Adapting was the only way to get through daily life during a period of death, radicalism, and revolution... Read more.


#include <dialogs.h>
Inheritance diagram for TLabel::
Public Methods | |
| TLabel (const TRect &bounds, const char *aText, TView *aLink) | |
| virtual void | draw () |
| virtual TPalette& | getPalette () const |
| virtual void | handleEvent (TEvent &event) |
| virtual void | shutDown () |
Static Public Methods | |
| TStreamable* | build () |
Static Public Attributes | |
| const char* const | name |
Protected Methods | |
| TLabel (StreamableInit) | |
| virtual void | write (opstream &os) |
| virtual void* | read (ipstream &is) |
Protected Attributes | |
| TView* | link |
| Boolean | light |
A TLabel object is a piece of text in a view that can be selected (highlighted) by a mouse click, cursor keys, or Alt-letter hot key. The label is usually "attached" via a pointer (called link) to some other control view such as an input line, cluster, or list viewer to guide the user.
Definition at line 2056 of file dialogs.h.
|
|
Constructor. Creates a TLabel object of the given size and text by calling TStaticText::TStaticText(bounds, aText), then setting the link data member to `aLink' for the associated control (make `aLink' 0 if no control is needed).
|
|
|
Each streamable class needs a "builder" to allocate the correct memory for its objects together with the initialized virtual table pointers. This is achieved by calling this constructor with an argument of type StreamableInit. |
|
|
Creates a new TLabel. Called to create an object in certain stream-reading situations. Reimplemented from TStaticText. |
|
|
Draws the label with the appropriate colors from the default palette. Reimplemented from TStaticText. |
|
|
Returns a reference to the label palette. Reimplemented from TStaticText. |
|
|
Handles TLabel events. Handles all events by calling TView::handleEvent(). If an evMouseDown or hot key event is received, the appropriate linked control (if any) is selected with link->select().
Reimplemented from TView. |
|
|
Used to recover the view from a stream. Reads from the input stream `is'. Reimplemented from TStaticText. |
|
|
Releases TLabel resources. Used internally by TObject::destroy() to ensure correct destruction of derived and related objects. shutDown() is overridden in many classes to ensure the proper setting of related data members when destroy() is called. This method releases all the resources allocated by the TLabel. It sets pointer link to 0 and then calls TStaticText::shutDown(). Since TStaticText::shutDown() is not implemented, TView::shutDown() will be called instead. Reimplemented from TView. |
|
|
Used to store the view in a stream. Writes to the output stream `os'. Reimplemented from TStaticText. |
|
|
If True, the label and its linked control has been selected and will be highlighted. Otherwise, light is set to False. |
|
|
This is a pointer to the view to focus when the user selects this label. |
|
|
Undocumented. Reimplemented from TStaticText. |


These are my notes for the introduction to programming course by Udacity
I intend to learn quickly and I am determined to work on the projects with the right determination and commitment.
Most stuff
About HTML
I already know
However I have plenty to learn and
Practice in particular
apparently writing stuff in ""em" tags does the same as
writing stuff in "i" tags
I have found some very interesting links
All in all I hope to be a happy coder in time :)


Ok to summarize.
Light is a wave but we "detect" the wave as a collection of photons. A wave of frequency f is made of photons with energy
When multiple waves arrive on the same spot, the principle of superposition of wave says to add the amplitude of each wave first, and then square to get the probability. This may result in surprising cancellations and enhancements in the probability of finding photons at some locations versus others!
This interference will occur even when we send a single photon thru the double slit. In some sense, the photon interferes with itself.
This is already strange but now comes the really weird stuff.
Suppose we modify the double slit experiment so that we can tell which slit the photon went through. We can for example put a photon detector that clicks when a photon pass by but does not absorb it so that the photon can keep going.
If we do this experiment, what we find is that if we know that the photon went through slit 1 we see the probability amplitude is
There are two ways to describe this
The two measurements are complementary. There is no physical way to detect which slit the photons went through and detect the interference pattern at the same time.
The act of measuring the photon changes the "state" of the system. Once we know that the photon went through slit 1, we know we should use
In the modern way of doing quantum mechanics, we often talk about information. Extracting information (no matter how) will affect all future probabilities. In some ways, you can say the slogan
Quantum mechanics is what happens when nobody is looking. If you look, then interference effect disappears!
Here is a nice video summarizing some of these ideas.


A few years have passed, and your team of heros has saved countless lives. Unfortunately, an increasing number of lives are being lost due to collateral damage. Another of your creations is hurting people; what do you do?
The saved outweigh the lost; We can't stop
We need to be held accountable
©2020 Chaalam Wilson | Binghamton University


Schieffelin Hall was built in 1881 as an opera house. It was designed to seat 600 people on wooden benches and it still serves the citizens of Tombstone as a theater (though the seats are more comfortable today). It is said to be the largest adobe structure in the United States that is still in use from the 19th century.
We have a local community theater troupe and they report an apparition that they call "The Lady in Red." As the group is rehearsing a play, they occasionally see the Lady in Red enter the theater, walk around in the house looking for an empty seat, and then sit down and enjoy a play that only she can see. After about five minutes or so, she simply vanishes. Some of the local actors believe that the Lady in Red is an old actor from back in the 1800s but others think that she may have been a patron who is still coming around to watch shows. Whatever is true, she is frequently reported in the building.
A number of years ago, our City Hall building was closed and some of the city offices were temporarily located to the upstairs floor of Schieffelin Hall. They reported a spirit that seemed to be fascinated by lights. They would occasionally come to work in the morning and see that the copy machine had been used overnight, leaving a stack of blank pages in the out-box. Also, sometimes in the middle of the night the locals would report that the lights were on in one of those offices, though the staff was careful to shut everything off, including the lights, when they left for the night.
Tour Information: Schieffelin Hall is on Freemont Street but our trolley does not pass that location during our tour. I included it on my website because there frequent reports of paranormal activity there.


Templates preferences
Use the Templates preference panel to manipulate any of the common templates predefined within CDT or create your own. To modify, delete, export, import, or create your own templates click Window > Preferences > C/C++ > Templates.
| Option | Description |
|---|---|
| New... | Opens the New Template dialog to create a new template. |
| Edit... | Opens the Edit Template dialog to edit the selected template. |
| Remove | Removes the selected templates from the list. |
| Restore Removed | Restores templates deleted by the last Remove action. |
| Revert to Default | Removes the last edits made to the selected template restoring it to it's unmodified state. |
| Import... | Imports a template. |
| Export... | Exports the selected templates. |
| Use code formatter | Enable to apply the currently selected code style to the template. |


Hi! My name is Arshnoor Kaur. I am a rising senior at Garfield High School in Seattle, WA. I love to volunteer and I am passionate about helping others. I am currently a member of Richards Rwanda where we work towards raising money to help young women in Rwanda find jobs in order for them to sustain a stable and independent lifestyle. I was also a member of Key Club and held the officer position of project planning during the summer of 2019. I have taken many AP's and always like to challenge myself in and outside of school. I am especially interested in Computer Science and front-end designing and I hope to pursue this interest in college as well. To learn more about this field, I joined the Girls Who Code Chapter at my school and also got accepted into the GWC Summer Immersion Program.


Data Fields | |
| wtk_radio_group_size_t | num_references |
| Number of members in this group. | |
| struct wtk_radio_button * | selected |
| Currently selected member. |
This is the radio button group control struct. It contains the necessary information about a radio button group, i.e. number of members in the group and the current selected one.
Definition at line 69 of file wtk_radio_button.c.
Number of members in this group.
Definition at line 71 of file wtk_radio_button.c.
Referenced by wtk_radio_button_create(), wtk_radio_button_handler(), and wtk_radio_group_create().
Currently selected member.
Definition at line 73 of file wtk_radio_button.c.
Referenced by wtk_radio_button_create(), wtk_radio_button_handler(), wtk_radio_button_is_selected(), wtk_radio_button_select(), and wtk_radio_group_create().


Holiday Autos tries to slip out of a refund for our no-show car
by Anna TimsWe booked a hire car but there wasn’t one … and we had to pay another £300-plus
I booked a rental car at Alicante Airport through Holiday Autos and arranged to collect it at midnight on 13 July. I paid the £120.45 in advance and received a booking voucher and confirmation that I was to collect it from the supplier, Rhodium.
When we arrived at the rental desk, Rhodium first said it couldn’t locate the booking, and then that it had been cancelled by Holiday Autos. Holiday Autos then claimed that Rhodium did not have the car in stock and advised us to use a different hire company and then make a claim for compensation.
We ended up paying £303.67 for a car from Firefly. The Holiday Autos call handler said that a complaint would be raised. It was not.
I made a complaint using its online process on 23 July. It took until 2 September to receive a response which suggested that I did not attend the correct desk to collect the car and therefore was not entitled to a refund.
Thankfully, I had saved the queue slip I received at the desk.
I feel this was an incredibly underhand tactic taken in the hope I would not be able to provide evidence to the contrary. I have not heard anything since.
BK, Altrincham, Greater Manchester
This breathtaking indifference got worse before Holiday Autos stirred itself to do the decent thing.
First the apology: “We would like to offer an apology for the distressing start to her trip to Spain.”
Then the excuse: “The car rental brands we work with are responsible for managing their own fleets and updating what is available to customers. We have been in touch with Rhodium to ensure this situation doesn’t happen again.”
Then the promise: “We have looked into the case and issued the full refund for both the initial booking with Rhodium, plus the difference in price for her second car from Firefly.”
Finally, the self-justification: “We continually monitor customer feedback via our Customer Centre of Excellence and appropriate action is taken if any car hire brands do not meet the standards required.”
Instead of a letter offering the apology and the refund, you then received a request for paperwork you’d already submitted so that an investigation could begin – three months after your complaint.
Only after further nudges from the Observer did it finally stump up the money. As for Rhodium, it laid the blame squarely on Holiday Autos which it said linked the booking reference to an invalid voucher number then cancelled the reservation.
If you need help email Anna Tims at<EMAIL_ADDRESS>or write to Your Problems, The Observer, Kings Place, 90 York Way, London N1 9GU. Include an address and phone number. Submission and publication are subject to our terms and conditions


[1]
Just everything a smart phone should be!; None so far.
[2]
ive heard good things about this phone hopefully there true!; none so far


Unreadable Names
Languages will vary in how directly humans need to be involved in their creation. Some will be mostly handcrafted with love in a text editor while others will be mostly dished out by the dozen by unfeeling export scripts or will typically see the user shielded from the markup behind an authoring interface.
Where you expect to fall on this spectrum will guide your decisions in terms of how much care to put into making your vernacular easy to author with no specific tooling. But even if you are in the business of documenting procedural regulations for the coming Robot Hive Apocalypse (in which case, “All Hail the Queen!”) you should consider the humans involved in the system beyond your typical user. Some people will have to look at the source in order to debug issues. Others will have to understand the source format in order to implement support for it. In general, even when humans are not expected to directly produce or consume your format, the more readable it is the higher quality software will accompany it — because it will be simpler to code to.
There are two primary ways in which one can make names hard to read (be it for elements, attributes, class names, properties — it doesn’t matter what language bit it is you’re naming).
The first is to make them too short when they are not common elements. It is a good idea
for instance to use p
for paragraphs as it is an extremely common element,
but it is more dubious to use s
. Is that going to be for strike-through or
sup text? Was it superseded content? Should it have been kept for span
?
The other is compound names. Those can be difficult to read for native speakers of the
language from which the names come from (typically, English) even though one has a natural
feel for word boundaries; they often become hell for people who do not know the language
well. The most common offender in this category is DocBook (I believe largely for historical
reasons, and then for consistency). To wit: personblurb
,
personname
, audioobject
, imageobjectco
,
inlinemediaobject
, qandadiv
, classsynopsisinfo
,
citebiblioid
, simplemsgentry
… the itemizedlist
goes
on.


CytoPy
Table of Contents
Getting Started
Using Python
Installing MongoDB
Installing CytoPy
Data uploading
Connecting to the database
Projects & Subjects
Adding Cytometry data
Cytometry Panels
Creating FCSExperiments
Adding *.fcs files
Pre-processing with autonomous gates
The Gating and Template class
Plotting a population
Creating and applying a gate
Types of Gates
DensityThreshold
Quantile
DensityClustering
MixtureModel
Static
Using control data
Editing gate
Other worthy mentions
Batch-effect analysis
Supervised cell classification
High-dimensional clustering
Feature extraction, selection, and description
API Reference
cytopy.data.fcs
cytopy.data.fcs_experiments
cytopy.data.gating
cytopy.data.mongo_setup
cytopy.data.panel
cytopy.data.project
cytopy.data.subject
cytopy.data.utilities
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{% extends 'base.html' %} {% load static %} {% block title %}{{ guild.name }}{% endblock %} {% block buttons_main %} {% include 'sidebar_buttons/home_deactive.html' %} {% endblock %} {% block buttons_channels %} {% include 'chat/sidebar_buttons/guild_redirect.html' with guild=guild %} {% include 'chat/sidebar_buttons/settings_main_deactive.html' with guild=guild %} {% include 'chat/sidebar_buttons/settings_channels_active.html' with guild=guild %} {% include 'chat/sidebar_buttons/settings_members_deactive.html' with guild=guild %} {% include 'chat/sidebar_buttons/settings_bans_deactive.html' with guild=guild %} {% include 'chat/sidebar_buttons/settings_links_deactive.html' with guild=guild %} {% endblock %} {% block styles %}{% static 'chat/css/guild_change_links.css' %}{% endblock %} {% block main %}


| 058:002 Khan | : |
Those among you who make their wives unlawful (Az-Zihar ) to them by saying to them "You are like my mother's back." They cannot be their mothers. None can be their mothers except those who gave them birth.  And verily, Allah is Oft- Pardoning, Oft-Forgiving. |
| 058:002 Maulana | : |
Those of you who put away their wives by calling them their mothers -- they are not their mothers.   And lo! Allah is Forgiving, Merciful. |
| 058:002 Rashad | : |
Those among you who estrange their wives (by declaring them as forbidden in sex) as their mothers know full well that they are not their mothers. Their mothers are the women who gave birth to them. Indeed, they are committing a blasphemy and a falsehood. GOD is Pardoner, Forgiver. |
| 058:002 Sarwar | : |
Those who renounce their wives by calling them mothers should know that their wives could never become their mothers. Their mothers are those who have given birth to them. The words that they speak are certainly detestable and sinful.  They certainly utter words that are manifestly evil and untrue; but, surely, ALLAH is the Effacer of sins, Most Forgiving. |
| 058:002 Yusufali | : |
If any men among you divorce their wives by Zihar (calling them mothers), they cannot be their mothers: None can be their mothers except those who gave them birth. And in fact they use words (both) iniquitous and false: but truly Allah is one that blots out (sins), and forgives (again and again). |
Concepts/Themes Covered: أركان الإسلام > التوحيد > توحيد الله تعالي > صفات الله تعالى > العفوّ Pillars of Islam> Islamic> Oneness of Allah> His Glory's Characteristics> The Ever Oft-Pardoning الإيمان > المؤمنون > صفات المؤمنين Faith> The Believers> The Believers' Characteristics الإنسان والعلاقات الاجتماعية > الأسرة > الظهار Man and The Social Relations>The Family>Az-Zihar الإنسان والعلاقات الاجتماعية > النساء > المرأة Man and The Social Relations>Women>The Woman
This tool uses eight English parallel translations for the Holy Quran imported from Mr. Clay Smith. You can also visit Qurany Concepts for browsing the Quran themes or topics. If you want to search the Holy Quran for keywords, please visit Qurany Keywords.


qcoeff = QuantizedCoeff(n, Coeff_Format, coeff) This function used to convert fixed/floating coeff. to quantized coeff. in specific number of bits. It used to estimate the number of bits used to represent the filter coefficients, for hardware implementation. We tune this number of bits to maintain better IBN noise after coeff. quantization. n : number of bits for quantization Coeff_Format : define the format of input coeff. to this function, is it fixed or floating coeff : filter coefficients to be quantized
0001 function qcoeff = QuantizedCoeff(n, Coeff_Format, coeff) 0002 0003 % 0004 % qcoeff = QuantizedCoeff(n, Coeff_Format, coeff) 0005 % 0006 % This function used to convert fixed/floating coeff. to quantized coeff. 0007 % in specific number of bits. It used to estimate the number of bits used 0008 % to represent the filter coefficients, for hardware implementation. We 0009 % tune this number of bits to maintain better IBN noise after coeff. 0010 % quantization. 0011 % 0012 % n : number of bits for quantization 0013 % Coeff_Format : define the format of input coeff. to this function, is 0014 % it fixed or floating 0015 % coeff : filter coefficients to be quantized 0016 % 0017 0018 q_coeff = quantizer(Coeff_Format,'floor','wrap',[n n-1]); 0019 0020 qcoeff = quantize(q_coeff,coeff);


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Next: Intermediate proxies, Previous: Tuning the HTTP parser, Up: HTTP tuning [Contents][Index]
Polipo offers the option to censor given HTTP headers in both client requests and server replies. The main application of this feature is to very slightly improve the user’s privacy by eliminating cookies and some content-negotiation headers.
It is important to understand that these features merely make it slightly more difficult to gather statistics about the user’s behaviour. While they do not actually prevent such statistics from being collected, they might make it less cost-effective to do so.
The general mechanism is controlled by the variable
censoredHeaders
, the value of which is a case-insensitive list
of headers to unconditionally censor. By default, it is empty, but
I recommend that you set it to ‘From, Accept-Language’. Adding
headers such as ‘Set-Cookie’, ‘Set-Cookie2’, ‘Cookie’,
‘Cookie2’ or ‘User-Agent’ to this list will probably break
many web sites.
The case of the ‘Referer’5 header is treated specially because many
sites will refuse to serve pages when it is not provided. If
censorReferer
is false
(the default), ‘Referer’
headers are passed unchanged to the server. If censorReferer
is maybe
, ‘Referer’ headers are passed to the server only
when they refer to the same host as the resource being fetched. If
censorReferer
is true
, all ‘Referer’ headers are
censored. I recommend setting censorReferer
to maybe
.
Another header that can have privacy implications is the ‘Via’
header, which is used to specify the chain of proxies through which
a given request has passed. Polipo will generate ‘Via’ headers
if the variable disableVia
is false
(it is true by
default). If you choose to generate ‘Via’ headers, you may want
to set the proxyName
variable to some innocuous string
(see Client connections).
| • Censor Accept-Language: | Why Accept-Language is evil. |
Next: Intermediate proxies, Previous: Tuning the HTTP parser, Up: HTTP tuning [Contents][Index]


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