[§668A-13] Uniformity of application and construction. In applying and construing this chapter, consideration shall be given to the need to promote uniformity of the law with respect to its subject matter among the states that enact similar uniform legislation. [L 2016, c 260, pt of §1]


This is intended to be a card game simulator where you are free to play whatever game you like, hence it depends highly on trust. Any card game can be played. Cards can be moved via click-and-dragging.
How to play:
1. Add deck adds a full set of 54 poker cards, including 2 jokers
2. Shuffle shuffles the deck
3. Hide all turns all the cards such that the card back faces up
4. Clear all clears all current cards on the board
5. Collect at top left shifts all cards to the top left corner of the board
6. Right click a card to turn it over. If you want it to be only visible to you, hover your mouse over the card and press the number corresponding to your player number on the keyboard. This works if you want to reveal the card to a specific player too.
e.g. If you are player 1, hover your mouse over the desired card and press '1'. The card will only be revealed to you.


Name:
Expression Evaluation: 2 + 2 = {{2 + 2}}
I will now demonstrate the use of a controller!
First Number:
Second Number:
Sum: {{thirdNumber()}}


This is a demo page for the Select2OptionPicker jQuery plugin. Which provides an alternative way of displaying standard HTML selects. The documentation and source is available here.
Simple Select: One Two Three
Color & image Select: One Two Three
Preselected Select: One Selected Three
Disabled Option Select: One Disabled Three
Disabled Select: One Two Three
JS Callback Select: One Two Three
No Default Select: One Two Three
Opt Group Select: One Two Three Red Blue Green
Multiselect: One Two Three


Contains all the class involved on the "local" implementation of the OStorage interface. The OStorageLocal store record into the disk
using OClusterLocal and ODataLocal classes. Physical clusters need separate files. Access is faster than the logical cluster but the database size is
higher and more files are requires. This matters in some OS where a single process has limitation for the number of files can open. Most accessed
entities should be stored inside a physical cluster.


RPI Incident Map
Visualization of the Incidents Reported to Public Safety
Filters
Location
Date Range


IPL Tickets 2018 Online Booking: Book IPL 11 Tickets
Book Tickets
IPL Jerseys
IPL jersey online purchase links are placed here. The craze for the Indian Premier League is undoubtedly increasing with every season. More and more fans are flocking to the stadiums, wearing the colours of the team they are supporting. As a result, the IPL franchises have released their official IPL 2017 merchandise which can be bought online easily. IPL jersey online shopping links are placed below for all teams.
Kings XI Punjab have listed a few portals – Amazon, Tyka, T10Sports and Flipkart, from whom you can buy their jerseys, shorts, caps and arm sleeves. They also offer Lassi Da Gilaas, customized mugs and team badges. The jerseys can also be purchased globally from cricketfanstore.com & thesouledstore.
Moving on to the champions Sunrisers Hyderabad, even though they have no official merchandise listed on their site, one can buy their jerseys from Tyka, Amazon.in, TKsportsworld and Flipkart.
Among all the teams, Mumbai Indians are certainly the ones with most fancy merchandises. The franchise has certainly done well to spread its word of the \’Blue Army\’ by bringing in LED bracelets, wrist bands, different kinds of jerseys, caps and many more. In fact, they have a special site dedicated to this very purpose to purchase their merchandise – The Souled Store. MI phrase their merchandise well offering wristbands, pillow cases, hand fans and Malinga hairdos; which has special demand. Cheaper replicas can also be purchased on Ebay or Flipkart. Overseas fans of the franchise can purchase from Fandomcricket.
One of the two entrants returning this year – Chennai Super Kings, too have got themselves a massive following given the popularity of the sport in the region. They have the jerseys listed on their official site. As for the Rajasthan Royals, one can find their merchandises on Tyka.
Kolkata Knight Riders rides on the stardom of Shah Rukh Khan and defrays slippers, caps, replica jerseys. It also has emphatically expensive golden helmets. If you are a huge fan of KKR and want to buy merchandise and jerseys from this eastern franchise, then the best place to buy their products are from the official site. You can also purchase official Kolkata Knight Riders merchandise at TheSouledStore. Of course, you can also look at Ebay, Sports365 and Flipkart for all your KKR merchandise purchases along with the sale of merchandise for other franchise merchandise from this website.
As for the Royal Challengers Bangalore, their jerseys will be in great demand, following the sensational season that they have this year. They have outsourced their merchandise sale to Zevenworld from where you can purchase the Bangalore training jerseys, caps, helmets, hooters and customized t-shirts for kids, men and women. Of course, if the Royal Challengers Bangalore jerseys on that site aren\’t to your liking you can also check for alternatives on Amazon.in once they are made available closer to the tournament. The fans also purchase their merchandise from Fandomcricket.
We also have Delhi Daredevils, who have broadened their horizons and released their official line of coffee mugs, shot glass, jerseys and range of t-shirts, bags, slides and autographed bats & balls. All of this can be picked up from their official site. DD keep abreast with its range of t-shirts, bags, slides and autographed bats and balls. They will also be available at various e-commerce websites such as amazon and Flipkart closer to match days.
This edition of the IPL is going to be even bigger and extravagant. So make sure that you catch the action live and show your team the support they need. Watch out for teams holding contests to win team IPL merchandise just before or during the IPL?


Former Selangor police chief dies
SHAH ALAM, Nov 18 — Former Selangor police chief Datuk Mohd Shukri Dahlan died at a private hospital here today of liver cancer. He was 65.
His daughter, Fateen Mohd Shukri said her father breathed his last at 4.45pm.
“He was taken to the hospital at about 4.30pm after complaining of feeling unwell,” she said when contacted.
The remains of Mohd Shukri will be brought to his home at Jalan Empangan Satu 8/14A, Section 8 here tonight.
Funeral prayers will be held tomorrow at the State Mosque at 9am before burial at Section 21 Muslim cemetery here.
Throughout his service, Mohd Shukri had also served as Perak police chief.
He had been appointed as the Selangor Islamic Religious Council member for 2015-2017 term. — Bernama


{% extends 'page.html' %} {% load bootstrap3 %} {% block content %}
From programmers who know statistics, to statisticians who know how to program; everyone that does data science work has their own unique set of skills and tools that they use to get their jobs done. We want to know the essential data science topics that you use in your work.
In this survey, we'll provide you with very open-ended questions asking about what tools, topics, and techniques you use as a data scientist. Please take a few minutes to tell us which of these are most important in your work. In exchange, we'll aggregate the results into a visualization to see what topics are generally most important to data scientists.
Disaggregated survey results will be made publicly available under a Creative Commons license for research purposes; however, we will NEVER publish or provide to any third party ANY personally identifiable data.


{% load static %}
{{item.ItemStatus}}
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If you want to see your Grocery list Login Here


Upload Class
The upload class allows to securely process files that have been uploaded to the application. It allows you to filter uploads in various ways, define what the destination filenames should look like, or filter on size or length of the filename.
Configuration
The upload class is configured through the fuel/core/config/upload.php configuration file. It is already populated with a default configuration. You can override this configuration by copying this config file to your application config directory, and modify that file as needed.
The following configuration settings can be defined:
| Param | Type | Default | Description |
|---|---|---|---|
| auto_process | boolean |
|
If true, the uploaded files will be validated using the configuration stored in the config file as soon as you use the Upload class. |
| max_size | integer |
|
The maximum size in bytes for every file uploaded. To disable the maximum size limit, set this parameter to zero. |
| ext_whitelist | array |
|
Array of allowed file extensions. If empty or not defined, all file extensions are allowed. Extensions need to be defined in lower case only. If a file is uploaded in upper case, its extension will be matched against the whitelist in lower case. |
| ext_blacklist | array |
|
Array of disallowed file extensions. If empty or not defined, all file extensions are allowed. Extensions need to be defined in lower case only. If a file is uploaded in upper case, its extension will be matched against the blacklist in lower case. |
| type_whitelist | array |
|
Array of allowed file types. If empty or not defined, all file types are allowed. A file type is the part of the file's mimetype before the slash. So if the mimetype is "text/plain", add "text" to this array to allow files of this type. |
| type_blacklist | array |
|
Array of disallowed file types. If empty or not defined, all file types are allowed. |
| mime_whitelist | array |
|
Array of allowed file mimetypes. If empty or not defined, all mimetypes are allowed. |
| mime_blacklist | array |
|
Array of disallowed file mimetypes. If empty or not defined, all mimetypes are allowed. |
| prefix | string |
|
When you save an uploaded file, the filename will be prefixed with this string. |
| suffix | string |
|
When you save an uploaded file, the filename will be suffixed with this string. |
| extension | string |
|
When you save an uploaded file, the filename's extension will be replaced with this string. |
| path | string |
|
Path to save the uploaded files to. |
| create_path | boolean |
|
If true, the path defined will be created if it doesn't exist. The Upload class supports recursive directory creation, so if the permissions are set properly, any path can be created. |
| path_chmod | integer |
|
Permissions to be set on the path after it has been created. This value has to be defined in octal notation, with a leading zero. |
| file_chmod | integer |
|
Permissions to be set on the uploaded file after it has been saved to the path defined. This value has to be defined in octal notation, with a leading zero. |
| auto_rename | boolean |
|
If true, the filename will be suffixed with a sequence number in case the file already exists in the path specified. The sequence number will be the next available number, starting with 1. |
| overwrite | boolean |
|
If true, the file will be overwritten when saved in case it already exists. This setting will be ignored if 'auto_rename' is true. |
| randomize | boolean |
|
If true, the file will be assigned a random 32-character name (an MD5 string) when saved. Other settings will still be applied. |
| normalize | boolean |
|
If true, the filename will be converted to an ASCII name, and all spaces replaced by underscores, when saved. |
| normalize_separator | string |
|
If you’ve set normalize to true you can
change what spaces are changed to, rather than underscores by
default.
|
| max_length | integer |
|
The maximum length of a filename. This is measured on the filename as it will be saved, after all filename options have been processed. To disable the maximum size limit, set this parameter to zero. |
| new_name | string | none |
The new filename. This is setting is not set in the default config, but is supplied to the Upload::process config. The new name will not overwrite the prefix and suffix. Note: When uploading multiple files, make sure the auto_rename setting is set to true, to avoid multiple uploads overwriting the same destination file! |
| change_case | boolean | false |
This option allows you to force a case on the filename. Possible values are 'upper' and 'lower'. |
Caution: if you intend to call Upload::process() manually, make sure auto_process is set to false. If not, the uploaded files will be processed twice with duplicate file entries as a result.


Type a short sentence in the box below and let Watson tell its sentiment.
This is what Watson got from your sentence: Sentiment: Positive Confidence: 100% Language of you sentence: EN


{% extends "core/email/common.html" %} {% block content %}
The subscription period for {{ organization.name }} has ended. If you'd like to continue using Read the Docs to manage your documentation, please renew the subscription for your organization soon.
You can renew it here:
{{ production_uri }}{% url 'subscription_detail' organization.slug %}
If you don't upgrade your account, your builds will soon be disabled and access to your documentation will be removed.
If you need more help with Read the Docs, we'd love to help you! Get in touch with us and let us know what problems you're having.
{% endblock %}


You may add several titles at once or just one at a time. All titles are subject to validation and a contract with Archipel Content.


[t]Geachte[/t] [FirstName] [`tussenvoegsel] [LastName],
[t]Bedankt voor uw online inschrijving op het evenement:[/t] [`Title][t], dat plaatsvindt op [/t] [StartDate]
[t]Om uw deelname definitief te bevestigen, kunt u op onderstaande link klikken.[/t]
[ConfirmationLink][t]Met vriendelijke groet,[/t]
[contactpersonage]
[t]Disclaimer[/t]
[t]1. This e-mail is for the intended recipient only. If you have received it by mistake please let us know by reply and then delete it from your system; access, disclosure, copying, distribution or reliance on any of it by anyone else is prohibited.[/t]
[t]2. If you as intended recipient have received this e-mail incorrectly, please notify the sender (via e-mail) immediately. This e-mail is confidential and may be legally privileged. {$klant} does not guarantee that the information sent and/or received by or with this e-mail is correct and does not accept any liability for damages related thereto.[/t]


Johansson Explains Why Now is the Right Time for Black Widow's Solo Movie
by Sundi RoseScarlett Johansson, star of Marvel Studios' Black Widow, revealed why the standalone film wouldn't have been the same if it was made 10 years ago.
On The Late Show With Stephen Colbert, Johansson said the movie couldn't have been made when this franchise first launched because Natasha's character singularly informed the upcoming film and that her journey with the character is what caused it to be what it is today. She went on to characterize Natasha as a "fully recognized woman," calling her complexity, "delicious" and saying the film is a definite "homecoming."
Colbert, who isn't shy about his nerdiness for the Marvel Cinematic Universe, also used this opportunity to float a theory he has about the future of the franchise. He posited that this might be the last of eight appearances for Black Widow in the MCU because "Black Widow is a spider, spiders have eight legs, and that's got to mean something."
Johansson feigned panic at the theory, joking that there's someone from Marvel waiting to shoot her with a "dart gun" if she reveals any spoilers about the upcoming movie. She then protested giving a direct answer, claiming her palms were sweaty from nervousness.
Directed by Cate Shortland, Black Widow stars Scarlett Johansson as Natasha, Florence Pugh stars as Yelena, David Harbour as Alexei aka The Red Guardian and Rachel Weisz as Melina. The film opens May 1, 2020.
https://schema.orgBreadcrumbListListItem1Homehttps://www.cbr.com/ListItem2Movieshttps://www.cbr.com/category/movies/ListItem3Movie Newshttps://www.cbr.com/category/movies/news-movies/ListItem4Johansson Explains Why Now is the Right Time for Black Widow's Solo Moviehttps://www.cbr.com/black-widow-scarlett-johansson-time-is-now/


Represents an Keyword/Value pair. The Keyword and Value are strings associated with a particular DocItem. The default destructor, copy constructor, and assignment operator are used.
| Attribute() | Constructors. |
| keyword() | Returns keyword of the attribute. |
| operators() | Comparison operators. |
| value() | Returns Value of the attribute. |
Attribute()
Attribute( const String& sKeyword, const String& sValue )
Constructors. Initializes keyword and value to null or given values.
String& keyword()
Returns keyword of the attribute.
bool operator==( const Attribute& attr ) const
bool operator!=( const Attribute& attr ) const
bool operator<( const Attribute& attr ) const
bool operator>( const Attribute& attr ) const
Comparison operators. These are needed to put Attributes into std::lists.
String& value()
Returns Value of the attribute.


Portland
NE PDX
Beaverton
Vancouver B.C
Denver
Chicago
New York City
Mexico City
Belgrade
Sao Paulo
Percentage of Students who moved to Portland to attend Epicodus: 23%
Most represented city except Portland: New York City
Average distance travelled in 2015: 1234
Furthest distance travelled in 2015: 5678


Transition Data Options
| Data Option | Description |
|---|---|
| data-duration | The duration or the distance scrolled for the animation. Units in pixels or percent of window height. (Default: 100%) |
| data-responsivethreshold | You can set a screen width threshold that disables the scroll transition. The threshold is in pixels and whenever the screen width is below the threshold the scroll transition is disabled. It will be reenabled if the screen width becomes bigger than the threshold. (Default: 0) |
| data-staggereddelay | This option is only used for the staggered-transition-wrapper. Define a delay between 1.0 and 0.0, 1.0 meaning no delay and 0.0 being max delay. (Default: 0.8) |
Transition Methods
| Method | Description |
|---|---|
| destroy | Destroy the scroll transition plugin on this instance. |
Scroll Triggered Transition

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"USURY "the sum paid for the use of money, hence interest; not, as in the modern sense, exorbitant interest. The Jews were forbidden to exact usury(Leviticus 25:36, 37), only, however, in their dealings with each other(Deuteronomy 23:19, 20). The violation of this law was viewed as a great crime (Psalm 15:5; Proverbs 28:8; Jeremiah 15:10). After the Return, and later, this law was much neglected (Nehemiah 5:7, 10).
"USURY "the sum paid for the use of money, hence interest; not, as in the modern sense, exorbitant interest. The Jews were forbidden to exact usury(Leviticus 25:36, 37), only, however, in their dealings with each other(Deuteronomy 23:19, 20). The violation of this law was viewed as a great crime (Psalm 15:5; Proverbs 28:8; Jeremiah 15:10). After the Return, and later, this law was much neglected (Nehemiah 5:7, 10).


[§486N-3] Written contract required. Every health club contract shall be in writing. [L 1984, c 161, pt of §1]


Multi-language
Currently only available in English and Bahasa Indonesia.
---
title:
description: Efficient paper calculator.
image: https://source.unsplash.com/aJTiW00qqtI/2000x1322?a=.png
bottom_image: https://source.unsplash.com/fPkvU7RDmCo/1322?a=.png
---
Efficient paper calculator
Currently only available in English and Bahasa Indonesia.
Plano will always find the most efficient calculation.
Also available on Mac, Windows, and plain Jar.
All the source are available on GitHub.


Press n or j to go to the next uncovered block, b, p or k for the previous block.
| File | Statements | Branches | Functions | Lines | |||||
|---|---|---|---|---|---|---|---|---|---|
| jpegRenderer.ts | 81.13% | 43/53 | 88.89% | 16/18 | 66.67% | 2/3 | 81.13% | 43/53 | |
| pngRenderer.ts | 81.13% | 43/53 | 88.89% | 16/18 | 66.67% | 2/3 | 81.13% | 43/53 | |
| svgRenderer.ts | 75.38% | 49/65 | 91.3% | 21/23 | 87.5% | 7/8 | 75.38% | 49/65 | |
| textRenderer.ts | 73.33% | 22/30 | 87.5% | 14/16 | 66.67% | 2/3 | 73.33% | 22/30 |


Project Overview
APA has been increasingly recognized as an important layer mRNA processing regulator which plays an important role in disease related process, such as tumorigenesis and neurological disorder. In this ongoing research, we have studied export factor NXF1 and CPA factor PCF11, revealing gene size-based and APA-based regulatory mechanisms. We also collaborate with a UCSD team on APA regulation in acute myeloid leukemia patients
Representative publication
- Ruijia Wang, Dinghai Zheng, Lu Wei, Qingbao Ding, Bin Tian: Regulation of intronic polyadenylation by PCF11 impacts mRNA expression of long genes. Cell Reports, 26.10 (2019):2766-2778.e2766. Paper link
- Suli Chen*, Ruijia Wang*, Dinghai Zheng*, Heng Zhang*, Xingya Chang, Ke Wang, Wencheng Li, Jing Fan, Bin Tian, Hong Cheng: The mRNA export receptor NXF1 coordinates transcriptional dynamics, alternative polyadenylation and mRNA export. Molecular Cell, 1.74 (2019):118-131. Paper link
- Dinghai Zheng*, Ruijia Wang*, Qingbao Ding, Tianying Wang, Bingning Xie, Lu Wei, Zhaohua Zhong, Bin Tian: Cellular stress alters 3’ UTR landscape through alternative polyadenylation and isoform-specific degradation. Nature communications 9.1 (2018): 2268. Paper link
Gallery
Figure. Bioinformatic modeling on the regulation of alternative cleavage and polyadenylation (APA).
(A) Top features on the basis of regression analysis of gene features versus gene expression changes in siPcf11 versus siCtrl samples (total RNA). Features are sorted according to individual R2 value. Cumulative R2 value is based on a given feature together with all other features with a better individual R2 value. + and ? denote positive and negative correlations, respectively.
(B) Metagene analysis of normalized Pol II signals
(log2 [IP/input]) on genes based on ChIP-seq data.
ChIP-seq signal at each position of a gene is
divided by the sum of signal of the gene to
normalize each gene contribution to the plot.
(C) IPA distribution maps of suppressed IPA events in Pcf11 KD cells. Color represents ratio (log2) of number of observed (obs) events to number of expected (exp) events.
(D) PAS to gene body ratio of Pol II signals in different gene size groups.
Author: Ruijia Wang


--- layout: post authors: ["Greg Wilson"] title: "Not on the Shelves" date: 2014-03-23 time: "10:00:00" tags: ["Opinion"] ---
Every few years, I indulge in a bit of sympathetic magic by writing reviews of books that don't actually exist in the hope that it will inspire someone to write them. Previous versions written in 1997, 2003, and 2009 led to Beautiful Code, Making Software, The Architecture of Open Source Applications, and a few others books as well. I'd welcome comments on what isn't in this list that you really wish you could read.
Software Carpentry for Scientists and Engineers
This book is an introduction to lab skills for scientific computing aimed at graduate students and professionals whose backgrounds are in science, engineering, medicine, and related fields. The four core topics—task automation, version control, structured programming, and data management—are are introduced via tutorials on the Unix shell, Git, Python, and SQL, then elaborated on with further tutorials on using the web to share data, creating reproducible workflows, and testing software when the right answer isn't actually known. While it necessarily glosses over many fine points, the book does give readers a useful toolkit and a sense of where to go next.
Note: we have a beta version of the first half of this, and hope to deliver it mid-2014.
Big, Fast, Cheap, or Good: A Student's Guide to Software Engineering
The two dominant undergraduate textbooks in software engineering leave out a lot of the things real software engineers do, and have only a tenuous relationship with the realities of undergraduate student life. In contrast, this short book focuses on empirical results in software engineering research, the design and construction of actual open source applications, and a development process that makes sense for students who are developing in teams for the first time while time-slicing commitments to several courses.
A Practical Introduction to Debugging
Most programmers spend a large part of their time debugging, but most books only show working code, and never discuss how to prevent, diagnose, and fix errors. Most books ostensibly about debugging are either high-level handwaving ("Make sure you're solving the right problem") user's guides for particular debugging tools, or out of date. (The one notable exception, Zeller's Why Programs Fail is an excellent read, but too advanced for most undergraduates.) This book fills that gap by combining an exploration of how debugging tools actually work with dozens of case studies showing how to apply them to real-world problems. And while the author only occasionally makes this explicit, the book also shows how to write programs that are easier to fix.
Software Tools for the World-Wide Web
Software Tools and its sequel Software Tools in Pascal were among the most influential books in the history of computing, as they introduced a whole generation of programmers to the Unix philosophy of tool-based computing. In retrospect, one of the reasons that philosophy succeeded was its reliance on a universal data format (strings of ASCII text) and communication protocol (standard input and standard output). This book's starting point is the now-commonplace observation that HTTP and data formats like XML and JSON have taken their place, and goes on to build a suite of ever-more-sophisticated tools for assembling web-based applications that use them. Drawing from sources as diverse as Jon Udell's Seven Ways to Think Like the Web, Microsoft PowerShell, and the Kinetic Rule Language, the authors present a vision in which syndication of distributed streams of events is the new normal.
Computing and the Law: A Guide for the Perplexed
The legal aspects of software have always been complicated; the web has done nothing to make them simpler. This book seeks to help programmers understand the rules (or lack thereof) they have to live with by tracing the historical development of patents, copyrights, privacy, and professional liability from the Industrial Revolution to the present day. Aimed squarely at people with no prior exposure to legal terminology, it explains concepts clearly and provides examples for each.
Difference Engines
Modern version control systems handle text well, but are much clumsier when it comes to images, MP3s, spreadsheets, and other so-called "binary" files. The reason is simple: those formats are supported by tools for reading and writing, but not for differencing and merging. This survey describes a collection of open source libraries (the "engines" of the title) that can handle many of those formats in a more-or-less uniform way. Readers will enjoy the combination of theory (such as proofs of some algorithms' performance characteristics) and practice (the design and implementation of the tools themselves).


A growing list of {{priceList.length}} items sold across Harn. Invididual prices may vary based on supply and demand, or the fiat of local monpolies. Some modifications by me but data largely derived from several community efforts aggregated and modified further in Leitchy's Comprehensive Price list on Lythia.com


MatchMaker
Welcome to the MATCHMAKER!
Will you match with the one and only Kasey Kane?
Take this short test to find out your chances...
To take the test, answer with a
5 if you strongly agree,
4 if you agree,
3 if you are neutral,
2 if you disagree,
and 1 if you completely disagree.
Good luck!!! May your odds be in my favor ;)


<?php /** * Validation language strings. * * @package CodeIgniter * @author CodeIgniter Dev Team * @copyright 2014-2019 British Columbia Institute of Technology (https://bcit.ca/) * @license https://opensource.org/licenses/MIT MIT License * @link https://codeigniter.com * @since Version 3.0.0 * @filesource * * @codeCoverageIgnore */ return [ // Core Messages 'noRuleSets' => 'No rulesets specified in Validation configuration.', 'ruleNotFound' => '{0} is not a valid rule.', 'groupNotFound' => '{0} is not a validation rules group.', 'groupNotArray' => '{0} rule group must be an array.', 'invalidTemplate' => '{0} is not a valid Validation template.', // Rule Messages 'alpha' => 'The {field} field may only contain alphabetical characters.', 'alpha_dash' => 'The {field} field may only contain alpha-numeric characters, underscores, and dashes.', 'alpha_numeric' => 'The {field} field may only contain alpha-numeric characters.', 'alpha_numeric_space' => 'The {field} field may only contain alpha-numeric characters and spaces.', 'alpha_space' => 'The {field} field may only contain alphabetical characters and spaces.', 'decimal' => 'The {field} field must contain a decimal number.', 'differs' => 'The {field} field must differ from the {param} field.', 'exact_length' => 'The {field} field must be exactly {param} characters in length.', 'greater_than' => 'The {field} field must contain a number greater than {param}.', 'greater_than_equal_to' => 'The {field} field must contain a number greater than or equal to {param}.', 'in_list' => 'The {field} field must be one of: {param}.', 'integer' => 'The {field} field must contain an integer.', 'is_natural' => 'The {field} field must only contain digits.', 'is_natural_no_zero' => 'The {field} field must only contain digits and must be greater than zero.', 'is_unique' => 'The {field} field must contain a unique value.', 'less_than' => 'The {field} field must contain a number less than {param}.', 'less_than_equal_to' => 'The {field} field must contain a number less than or equal to {param}.', 'matches' => 'The {field} field does not match the {param} field.', 'max_length' => 'The {field} field cannot exceed {param} characters in length.', 'min_length' => 'The {field} field must be at least {param} characters in length.', 'numeric' => 'The {field} field must contain only numbers.', 'regex_match' => 'The {field} field is not in the correct format.', 'required' => 'The {field} field is required.', 'required_with' => 'The {field} field is required when {param} is present.', 'required_without' => 'The {field} field is required when {param} is not present.', 'timezone' => 'The {field} field must be a valid timezone.', 'valid_base64' => 'The {field} field must be a valid base64 string.', 'valid_email' => 'The {field} field must contain a valid email address.', 'valid_emails' => 'The {field} field must contain all valid email addresses.', 'valid_ip' => 'The {field} field must contain a valid IP.', 'valid_url' => 'The {field} field must contain a valid URL.', 'valid_date' => 'The {field} field must contain a valid date.', // Credit Cards 'valid_cc_num' => '{field} does not appear to be a valid credit card number.', // Files 'uploaded' => '{field} is not a valid uploaded file.', 'max_size' => '{field} is too large of a file.', 'is_image' => '{field} is not a valid, uploaded image file.', 'mime_in' => '{field} does not have a valid mime type.', 'ext_in' => '{field} does not have a valid file extension.', 'max_dims' => '{field} is either not an image, or it is too wide or tall.', ];


SI utilities package
When using PEPFAR data, the OHA SI PEPFAR by and large uses the same MER Structured Datasets to answer the same analytical questions each period. This package is a sister package of ICPIutilities
for working primiarly with data from DATIM and the MER Structured Datasets and plotting them using glitr
. Focal users are analysts in USAID/GH/OHA who are using R to pull data from DATIM or perform the same repeated functions each quarter like creating TX_NET_NEW targets or assessing achievement.
glamr
is not on CRAN, so you will have to install it directly from GitHub using remotes
.
If you do not have remotes
installed, you will have to run the install.packages("remotes")
line in the code below as well.
## SETUP
#install package with vignettes
install.packages("remotes")
remotes::install_github("USAID-OHA-SI/glamr", build_vignettes = TRUE)
#load the package
library(glamr)
## LIST TYPES OF STYLES INCLUDED WITH PACKAGE
ls(package:glamr)
Disclaimer: The findings, interpretation, and conclusions expressed herein are those of the authors and do not necessarily reflect the views of United States Agency for International Development. All errors remain our own.


I've been brainstorming ideas for wearables and thought that I would theme it around "Safety" which I then narrowed down to bike safety.
I posed the question to Twitter:
But quite seriously, I'm ideating for a wearables bike safety project. What small things would make you feel safer as a cyclist?
— Pearl Chen (@PearlChen) July 3, 2014
Ideas have been compiled into this Google Doc.
I also have a #summerofme goal of drawing more so I made the sketch above. :)
- Pearl


8 Reasons why you should practice Mindfulness
8 Reasons why you should practice Mindfulness
Zenpra > Benefits > 8 Reasons why you should practice Mindfulness
Mindfulness is becoming very popular, but what really is mindfulness and how can it benefit you? You can think of mindfulness as being fully aware of the present moment. You immerse yourself with all of your senses and focus on what is happening now. Your actions become deliberate and you do not make rash or reactive decisions. You become aware of every movement, thought, and object that you experience. There is no right or wrong thing that you can experience, you just observe it and accept it. The key is not to block anything out of your experience make sure that you take in everything that is presently there. This allows your experience to be whole and not fragmented.
An Easy Mindfulness Practice to help get you started
An easy way to start your mindful practice is to mindfully listen to music. All you need to do is find a quite place and listen to your favorite song. Listen to the song as if it were your first time and become immersed in the music. Try and not let your mind think of something else and be focused on the music that is being played right now. Pay attention to the subtle details of the song and the different rhythms, sounds and accents. When you are totally focus on the act of listing you are improving your ability to become more aware and mindful . You might even notice something new about your favorite song.
The Benefits of Mindfulness Meditation
I have been practicing mindfulness for a while now and I have experienced firsthand the benefits that scientists have been touting. Mindfulness improves your ability to bring awareness to any situation in your life. It is this extra awareness and attention that allows us to fully be immersed in the situation allowing us to make better decisions and experience life more fully. Here are just some of thebenefits that mindfulness can provide.
- Improves your focus- When you practice mindfulness you will improve your ability to focus on what is important. When you are fully aware of what you are doing you are able to direct your attention and focus to where you want. Mindfulness has shown to improve attention span and not become distracted. A study at Washington University showed that participants who meditated were better at multitasking and could focus better to get more tasks done. The meditators demonstrated they made less task switches when multitasking and could focus longer at one task. They also showed that they had better memory of the tasks they performed. You can check out the research here.
- Increases creativity-When you immerse yourself in a problem or task you are using all of your senses to come up with solutions. When you are more in a relaxed state, ideas will start to flow through your mind and you won’t have the inner chatter distracting you. Frequently we have an inner voice that distracts us and tells us this is not going to work or brings our attention away from the problem.
- Improve your athletic ability– When you are mindful you improve the mind body connection and are able to reach a state of total awareness. High performance athletes need to make reactive and quick decisions under high pressure situations. A lot of times athletes choke under pressure and miss an opportunity to win the game for their team. Mindfulness has shown to help people perform better under these stressful situations. It reduces the perceived effects of stress so you have better mental clarity and mental toughness during the game. Mindfulness helps you to reach a state of flow which means you are totally present and can perform at an optimal level without any distractions.
- Relives stress- Mindfulness is one of the best ways to reduce stress easily and safely. Mindfulness actually changes how we perceive and react to stress. Research on mindfulness has shown that frequent meditators produced less cortisol during stressful situations. The participants of the study also said they felt less stressed during high pressure situations.
- Improves your test taking ability- There have been studies done that show mindfulness improved test taking ability. This is due to the increase in focus and being totally present. A lot of times we answer a question wrong on a test because we miss interpret the question or we assume they are asking something else. How many times have you re read a question you got wrong and you realized that you did not answer what was being asked. It might seem like an oversight but it can be prevented if you become more mindful and are more aware of what the question is really trying to ask and not assuming. A study at the University of California Santa Barbra showed that students who practiced mindfulness increased their GRE scores and showed improvement in cognitive function and working memory.
- Lose weight- Have you ever heard of mindful eating?   Studies have shown that eating mindfully has resulted in a loss of weight for participants. I will be discussing mindful eating in more detail in upcoming posts.
- Improves your mood and outlook on life– Mindfulness helps you become more self aware. You will have a better sense of yourself and what your true purpose is.  When you are more aware of the things around you your outlook on life is more positive. Instead of seeing the negative in the situation you are trained to see the opportunity and what positive thing can emerge from the situation.
- Reduces bad habits- We all have habits, some good some bad. Habits are important because it makes life easier and helps us accomplish what needs to get done without resistance. However, if we have a bad habit such as smoking or eating unhealthy we might need to be more mindful to reduce these mindless habits. Habits become automatic and we are not aware of what we are doing. Mindfulness helps us observe what we are doing so we can decide if we need to stop it. Awareness of a bad habit is the first step to lower it.
Let me know why you practice mindfulness and what techniques do you use. Share any benefits you experienced while practicing mindfulness.


Development Of School
> Development of school started in the year 2010-11
> Development completed in the year 2014
> Project duration 2-3 years
> Teaching in this school started in the year 2014-15
As a Centre of Schooling
> started in the year 2014-15
> School for 10th to 12th students
>Total students studying in this academin session are 200+
> Teaching staff 15+
Available Streams
> Maths
> Bio
> Arts
Funding
> Fund for development of building was provided by central goverment of India
> Funded by Madhyapradesh Goverment
> RS 346 lakh Alloted for development of Building
> funds for oprating this school also provided by state goverment
Hostel
> Hostel Facility also available in this school
Have Sight To history
A Short Information About History
-
Now
At this time
Now school is running having students 500+ Available streams are Maths, Bio, Social scince
-
Year 2014
School is completly built
Development of schoot completed in year 2014 and later opened for studets
-
2013
Almost done but not completly
Basic structure of building completed in 2013 where all other construction completed after some time
-
Construction stardted
in 2010-11
Construction process stardted in 2010-11. Duration of project was exect 3 year long
-
Starting


bool ingres_set_environment ( resource $link , array $options )
ingres_set_environment() is called to set environmental options that affect the output of certain values from Ingres, such as the timezone, date format, decimal character separator, and float precision.
Returns TRUE on success or FALSE on failure.


SN:#1234567
Date: 28.07.2017
Plot: ${plotName}
Area: 440.5 ha
Crop: Sweet-Corn
| Material | Dosage | Volume | Observation | Return | Cost |
|---|---|---|---|---|---|
| Battus | 0.175 un/ha | 70 liters | Magna orci hac | $6.4 | $8.60 |
| Dash | 0.15 un/ha | 60 liters | Suscipit dui mattis | $3.19 | $19.36 |
| HEAT | 0.07 un/ha | 28 liters | Mattis mi pharetra purus faucibus | $2.51 | $2.40 |
| Malathion-Ai | 0.99 un/ha | 400 liters | Arcu gravida | $4.27 | $24.10 |
| Marshal star | 0.25 un/ha | 100 liters | At tempus odio | $5.73 | $8.32 |
| Notes |
|---|
| Note text |
This report was created by the AgriTask agronomic management system.
You can find this information online, at
www.agritask.com


Demo for:
https://github.com/vitalets/webrtc-ips
This demo uses WebRTC to detect your local IP addresses.
Your IPv4 address:
Detecting...
Your IPv6 address:
Detecting...


isanet.model¶
-
class
isanet.model.
Mlp
¶ Bases:
object
This class implements the Multi-layer Perceptron.
-
weights
¶ List of arrays, the ith array represents all the weights of each neuron in the ith layer.
- Type
list
-
activations
¶ List of Activation class, the ith Activation represents the activation function for that layer.
- Type
list
-
kernel_regularizer
¶ List of float value where ith element represents the l2 norm regularitation term for the ith layer.
- Type
list
-
n_layers
¶ Represents the total number of layers - 1 (hidden layers + output layer)
- Type
int
-
history
¶ Save for each epoch the values of mse, mee and accuracy for training and validation and the time taken to compute that epoch.
- Dictionary’s keys:
loss_mse
The mean square error on training for each epochs.
loss_mse_reg
The mean square error on training for each epochs plus the L2 regularization.
loss_mee
The mean euclidean error on training for each epochs.
val_loss_mse
The mean square error on validation for each epochs.
val_loss_mse_reg
The mean square error on validation for each epochs plus the L2 regularization.
val_loss_mee
The mean euclidean error on validation for each epochs.
acc
The accuracy on training for each epochs.
val_acc
The accuracy on validation for each epochs.
epoch_time
The time elapsed for compute for each epochs.
A dict with keys as column headers and values as columns, that can be imported into a pandas DataFrame. For instance the below given table:
+-----------------+--------------------+---------------+----------------+---------------+---+-----------------+ | loss_mse | loss_mse_reg | loss_mee | val_loss_mse | val_loss_mee |...| epoch_time | +=================+====================+===============+================+===============+===+=================+ | 0.985 | 1.00 | 0.992 | 1.00 | 1.00 |...| 0.0030 | +-----------------+--------------------+---------------+----------------+---------------+---+-----------------+ | 0.984 | 1.10 | 0.991 | 1.00 | 1.00 |...| 0.0029 | +-----------------+--------------------+---------------+----------------+---------------+---+-----------------+
- Type
dict
-
is_fitted
¶ if True, a fit has already been done.
- Type
boolean, default=False
-
n_vars
¶ Number of model variables.
- Type
integer, default=0
Notes
Mlp trains iteratively since at each time step the partial derivatives of the loss function with respect to the model parameters are computed to update the parameters. It can also have a regularization term added to the loss function that shrinks model parameters to prevent overfitting.
-
add
(n_units, input=None, activation='sigmoid', kernel_initializer=0.6, kernel_regularizer=0)¶ Adds a hidden layer to the Multi-layer Perceptron.
- Parameters
n_units (integer) – Number of neurons in the hidden layer.
input (integer , optional) – Number of inputs.
activation (string, default="sigmoid") –
Activation function of the hidden layer.
’identity’, no-op activation, useful to implement linear bottleneck, returns f(x) = x
’sigmoid’, the logistic sigmoid function, returns f(x) = 1 / (1 + exp(-x)).
’tanh’, the hyperbolic tan function, returns f(x) = tanh(x).
’relu’, the rectified linear unit function, returns f(x) = max(0, x)
kernel_initializer (float, default=0.6) – Defines the standard deviation value for the uniform distributed distribution used to generate the weights of that layer.
kernel_regularizer (float, default=0) – Tikhonov regularization term, L2 penalty parameter.
- Raises
Warning – this is your first hidden layer: If you are not inserting the first hidden layer but you are still specifying the number of inputs.
Warning – First hidden layer already added: If you are inserting the first hidden layer without specifying the number of inputs.
-
append_history
(history, is_validation_set)¶ Adds results on the training and validation sets to the history.
- Parameters
history (dict) – Save for each epoch the values of mse, mee and accuracy for training and validation and the time taken to compute that epoch.
validation (boolean) – True to append validation history, False do not.
-
fit
(X_train, Y_train, epochs=0, batch_size=None, validation_data=None, es=False, verbose=0)¶ Fit the model to data matrix X_train and target(s) Y_train and evaluates it on the validation set (if there is one).
- Parameters
X_train (array-like of shape (n_samples, n_features)) – The input data.
Y_train (array-like of shape (n_samples,)) – The target values.
epochs (integer, default=0) – Maximum number of epochs.
batch_size (integer, optional) – Size of minibatches for the optimizers. When set to “none”, the optimizer will performe a full batch.
validation_data (list of arrays-like, [X_val, Y_val], optional) – Validation set.
es (bool or isanet.callbacks.EarlyStopping, default=False) – When set to False it will only use the
epochs
to finish training. Otherwise, an EarlyStopping type object has been passed and will stop training if the model goes overfitting after a number of consecutive iterations. See docs in optimizier module.verbose (integer, default=0) – Controls the verbosity: the higher, the more messages.
- Raises
Error when checking input – If the number of columns in the input matrix differs from the number of rows in the first weight matrix (weights[0]).
Error when checking output – If the number of columns in the target matrix differs from the number of rows in the last weight matrix (weights[-1]).
-
get_epoch_history
(model, X_train, Y_train, validation_data, epoch_time)¶ Given the model, training data, validation data and time returns a dictionary that contains:
{"loss_mse": loss_mse, "loss_mse_reg": loss_mse_reg, "loss_mee": loss_mee, "acc": acc, "val_loss_mse": val_loss_mse, "val_loss_mse_reg": val_loss_mse_reg, "val_loss_mee": val_loss_mee, "val_acc": val_acc, "epoch_time": epoch_time }
-
predict
(inputs)¶ Predict using the multi-layer perceptron classifier.
- Parameters
inputs (array-like of shape (n_samples, n_features)) – The input data.
- Returns
a – The predicted classes.
- Return type
ndarray, shape (n_samples,)
-
set_optimizer
(optimizer)¶ Set the optimizer of the ‘Mlp’ used in the learning phase.
- Parameters
optimizer ('isanet.optimizer.SGD' object) –
-
-
isanet.model.
random_weights_layer
(size, std=0.06)¶ Initializes neural net weights with a uniformly distributed over the half-open interval [-std, std)
- Parameters
size (tuple) – This tuple represents the matrix size of a given layer of the neural network. E.g. dimension = (dim_input_layer, n_units), where ‘dim_input_layer’ is the number of input at that level and ‘n_units’ is the number of neurons in that level.
std (float, default = 0.06) – Defines the standard deviation value for the distribution.
- Returns
Where each column represents the input weights to each neuron.
- Return type
Array-like


#include "packetheader.h"
#include "connection.h"
Go to the source code of this file.
| int __nvback_cudaRegisterFatBinary_rpc | ( | cuda_packet_t * | packet | ) |
| int __nvback_cudaRegisterFatBinary_srv | ( | cuda_packet_t * | packet, | |
| conn_t * | myconn | |||
| ) |
in this function we do not return in the handle the packet->ret_ex_val.err is not set I believe as in most of the other calls so take this into account
| int __nvback_cudaRegisterFunction_rpc | ( | cuda_packet_t * | packet | ) |
| int __nvback_cudaRegisterFunction_srv | ( | cuda_packet_t * | packet, | |
| conn_t * | myconn | |||
| ) |
| int __nvback_cudaRegisterVar_rpc | ( | cuda_packet_t * | packet | ) |
| int __nvback_cudaRegisterVar_srv | ( | cuda_packet_t * | packet, | |
| conn_t * | myconn | |||
| ) |
| int __nvback_cudaUnregisterFatBinary_rpc | ( | cuda_packet_t * | packet | ) |
| int __nvback_cudaUnregisterFatBinary_srv | ( | cuda_packet_t * | packet, | |
| conn_t * | myconn | |||
| ) |
| int l_do_cuda_rpc | ( | cuda_packet_t * | packet, | |
| void * | reqbuf, | |||
| const int | reqbuf_size, | |||
| void * | rspbuf, | |||
| const int | rspbuf_size | |||
| ) |
executes the cuda call over the network This is the entire protocol of sending and receiving requests. Including data send as arguments, as well as extra responses
We add the specific packet to the buffer that is maintained by the connection. We also check if there are some requests in the reqbuf and we add this to our connection. Then we send the connection data. TODO here I have problems, since conn_t is a connection, and not the data so it should be called something else (sending_endpoint (?) ). It also deals with response. Since the connection can expect responses. Then the response is passed through packet and rspbuf.
| pPacket | the packet that contains data to be send and executed over the network | |
| reqbuf | (in) from this buffer data are added to myconn | |
| reqbuf_size | (in) size of the request buffer | |
| rspbuf | (out) we copy here a response we got from the server | |
| rspbuf_size | (out) the size of the response buffer |
| int nvbackCudaConfigureCall_rpc | ( | cuda_packet_t * | packet | ) |
| int nvbackCudaConfigureCall_srv | ( | cuda_packet_t * | packet, | |
| conn_t * | pConn | |||
| ) |
| int nvbackCudaFree_rpc | ( | cuda_packet_t * | packet | ) |
| int nvbackCudaFree_srv | ( | cuda_packet_t * | packet, | |
| conn_t * | pConn | |||
| ) |
| int nvbackCudaGetDevice_rpc | ( | cuda_packet_t * | packet | ) |
| int nvbackCudaGetDevice_srv | ( | cuda_packet_t * | packet, | |
| conn_t * | pConn | |||
| ) |
| int nvbackCudaGetDeviceCount_rpc | ( | cuda_packet_t * | packet | ) |
| int nvbackCudaGetDeviceCount_srv | ( | cuda_packet_t * | packet, | |
| conn_t * | pConn | |||
| ) |
| int nvbackCudaGetDeviceProperties_rpc | ( | cuda_packet_t * | packet | ) |
| int nvbackCudaGetDeviceProperties_srv | ( | cuda_packet_t * | packet, | |
| conn_t * | pConn | |||
| ) |
| int nvbackCudaLaunch_rpc | ( | cuda_packet_t * | packet | ) |
| int nvbackCudaLaunch_srv | ( | cuda_packet_t * | packet, | |
| conn_t * | pConn | |||
| ) |
| int nvbackCudaMalloc_rpc | ( | cuda_packet_t * | packet | ) |
| int nvbackCudaMalloc_srv | ( | cuda_packet_t * | packet, | |
| conn_t * | pConn | |||
| ) |
| int nvbackCudaMemcpy_rpc | ( | cuda_packet_t * | packet | ) |
| int nvbackCudaMemcpy_srv | ( | cuda_packet_t * | packet, | |
| conn_t * | pConn | |||
| ) |
| int nvbackCudaMemcpyFromSymbol_rpc | ( | cuda_packet_t * | packet | ) |
| int nvbackCudaMemcpyFromSymbol_srv | ( | cuda_packet_t * | packet, | |
| conn_t * | pConn | |||
| ) |
| int nvbackCudaMemcpyToSymbol_rpc | ( | cuda_packet_t * | packet | ) |
| int nvbackCudaMemcpyToSymbol_srv | ( | cuda_packet_t * | packet, | |
| conn_t * | pConn | |||
| ) |
| int nvbackCudaSetDevice_rpc | ( | cuda_packet_t * | packet | ) |
| int nvbackCudaSetDevice_srv | ( | cuda_packet_t * | packet, | |
| conn_t * | pConn | |||
| ) |
| int nvbackCudaSetupArgument_rpc | ( | cuda_packet_t * | packet | ) |
| int nvbackCudaSetupArgument_srv | ( | cuda_packet_t * | packet, | |
| conn_t * | pConn | |||
| ) |
| int nvbackCudaThreadExit_rpc | ( | cuda_packet_t * | packet | ) |
| int nvbackCudaThreadExit_srv | ( | cuda_packet_t * | packet, | |
| conn_t * | pConn | |||
| ) |
| int nvbackCudaThreadSynchronize_rpc | ( | cuda_packet_t * | packet | ) |
| int nvbackCudaThreadSynchronize_srv | ( | cuda_packet_t * | packet, | |
| conn_t * | pConn | |||
| ) |


Julia Ecosystem Status
This page tracks the status of various parts of the
Julia language
ecosystem
[
-
]
Nightly Builds
[
-
]
Travis
Julia tests
[
-
]
Codespeed
builds


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Here is one of projects i have worked on:
Rouge gaming is a hub for people looking into trying out certain games.The webpage consists of vivid descriptions on the games as well as links to the official game websites and download links.


History Behind Battle Royale Games
Released just a few months ago, Player Unknown Battle Grounds also known as PUBG quickly shot to fame. The game offered a very innovative and unique game mode that has not been seen before in the world of shooting games. Taking inspiration from the films Battle Royale and the Hunger Games, the game places 100 players on a map with one purpose: to be the last player or team standing.


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Match Play. Red trails 2-4 to 7. Should Red redouble? If redoubled, should White take?
pips Red=135 White=104
(CorrectAnswer= 0/0, ErrorScore= 0)
What would be no redouble/beaver for money becomes a clear redouble/take at the match score. Hopefully by now you are beginning to get a sense of just how skewed cube decisions can be when the score is taken into consideration. Particular care should be taken by both players when a redouble is involved.
Here the redouble kills White's gammons and if Red loses the game with the cube on 2 he will trail 2-6 (Crawford) with 15% match winning chances. A gammon loss (which happens 22% of the time) will leave him with 0% match winning chances so as you can see he doesn't need much of an excuse to redouble.
Cubeless Red wins 51% of the time from here and that more than sufficient reason to redouble. Not redoubling is a bad error but not quite a blunder.
Here the redouble kills White's gammons and if Red loses the game with the cube on 2 he will trail 2-6 (Crawford) with 15% match winning chances. A gammon loss (which happens 22% of the time) will leave him with 0% match winning chances so as you can see he doesn't need much of an excuse to redouble.
Cubeless Red wins 51% of the time from here and that more than sufficient reason to redouble. Not redoubling is a bad error but not quite a blunder.
Cube analysis 2-ply cubeless equity -0.018 (Money: -0.083) 0.517 0.094 0.004 - 0.483 0.210 0.004 Cubeful equities: 1. Double, take +0.480 2. Double, pass +1.000 (+0.520) 3. No double +0.405 (-0.075) Proper cube action: Redouble, take


InstantSend payments confirm in less than a second.
PrivateSend ensures your transaction history and balance is private and untrackable.
Transaction are confirm by large of Equihash alo computing power and over 1000+ securenodes.
Focus to user experiences, you can use Luala easest.

Contribute to Luala network and earning LUA reward.
We have a long time researching blockchain and cryptocurrency. We want to make blockchain becoming popular and more friendly.
Lauch Luala Testnet and Luala desktop wallet (Window, MacOS, Ubuntu)
Lauch Luala mainnet and Luala desktop wallet (Window, MacOS, Ubuntu). Everyone can start mining and setup masternode to contribute Luala network and earning LUA reward.
Luala will be listed on HitBTC, Cryptopia,...
Lauch mobile wallet (Android, iOS)
DAO Treasury Protocol-level Voting System
Build and integrate Luala payment on Online stores, Lualancer system and Assets store.
Founder
Lead Marketer
Lead Developer
Lorem ipsum dolor sit amet, consectetur adipisicing elit. Aut eaque, laboriosam veritatis, quos non quis ad perspiciatis, totam corporis ea, alias ut unde.


{% extends "mailinglist/layout.html" %} {% block title %}Mailinglist{% endblock %} {% block body %}
There is a mailinglist for Flask hosted on librelist you can use for both user requests and development discussions.
To subscribe, send a mail to<EMAIL_ADDRESS>and reply to the confirmation mail. Make sure to check your Spam folder, just in case. To unsubscribe again, send a mail to<EMAIL_ADDRESS>and reply to the confirmation mail.
The mailinglist archive is synched every hour. Go there to read up old discussions grouped by thread. {% endblock %}


{% extends 'base.html' %} {% load staticfiles %} {% block content %}
STATUS: {{proposal.status}}
Sender: {{ proposal.sender.first_name}} {{ proposal.sender.last_name}} is proposing to trade the item:
( Please select your item to trade )
{{ proposal.sender_item.name }}
{{ proposal.sender_item.description }}
You are currently trading: {{proposal.sender_item.name}}
Recipient: {{ proposal.receiver.first_name}} {{ proposal.receiver.last_name}} is being requested to trade the item:
{{ proposal.receiver_item.name }}
{{ proposal.receiver_item.description }}


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Decide how many buckets to assign to your partitioned region and set the configuration accordingly.
The total number of buckets for the partitioned region determines the granularity of data storage and thus how evenly the data can be distributed. Geode distributes the buckets as evenly as possible across the data stores. The number of buckets is fixed after region creation.
The partition attribute total-num-buckets
sets the number for the entire partitioned region across all participating members. Set it using one of the following:
XML:
<region name="PR1"> <region-attributes refid="PARTITION"> <partition-attributes total-num-buckets="7"/> </region-attributes> </region>
Java:
RegionFactory rf = cache.createRegionFactory(RegionShortcut.PARTITION); rf.setPartitionAttributes(new PartitionAttributesFactory().setTotalNumBuckets(7).create()); custRegion = rf.create("customer");
gfsh:
Use the –total-num-buckets parameter of the
create region
command. For example:gfsh>create region --name="PR1" --type=PARTITION --total-num-buckets=7
Calculate the Total Number of Buckets for a Partitioned Region
Follow these guidelines to calculate the total number of buckets for the partitioned region:
- Use a prime number. This provides the most even distribution.
- Make it at least four times as large as the number of data stores you expect to have for the region. The larger the ratio of buckets to data stores, the more evenly the load can be spread across the members. Note that there is a trade-off between load balancing and overhead, however. Managing a bucket introduces significant overhead, especially with higher levels of redundancy.
You are trying to avoid the situation where some members have significantly more data entries than others. For example, compare the next two figures. This figure shows a region with three data stores and seven buckets. If all the entries are accessed at about the same rate, this configuration creates a hot spot in member M3, which has about fifty percent more data than the other data stores. M3 is likely to be a slow receiver and potential point of failure.
Configuring more buckets gives you fewer entries in a bucket and a more balanced data distribution. This figure uses the same data as before but increases the number of buckets to 13. Now the data entries are distributed more evenly.


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Age : {{employee.empAge}}
Gender : Male
Gender : Female
Capabilities : Cooking Cleaning Pharamacy
Age : {{employee.empAge}}
Gender : Male
Gender : Female
Capabilities : Cooking Cleaning Pharamacy
Age : {{employee.empAge}}
Gender : Male
Gender : Female
Capabilities : Cooking Cleaning Pharamacy
Age : {{employee.empAge}}
Gender : Male
Gender : Female
Capabilities : Cooking Cleaning Pharamacy


Piano Performances
88 上海 2017 Commencement Kick Off
Shanghai, China
March 10, 2013
Source: These videos are from Megan Hou's YouTube page.


Chapter 5 Lets do some math!
5.1 Models
OK. There is no such thing as simple statistical model. However there are lots of packages that will make you suffer less. In fact this is one of biggest R advantages, that you can make even very sophisticated statistical modelling without any knowledge on programming since you use black boxes. When you are dealing with classic statistical models many of them are included in base R distribution – like linear or generalized additive models. You probably need to use mixed effect models, at some point. Good news is that there is a very nice and quite straightforward to use package called lme4
. Every time you run into problem, and you do not know what to use for statistical modelling, or how to perform full procedure, just query Google. There are hundreds of blogs, web pages and Stack Overflow discussion on it.
Besides simple statistical models, there is a lot of other models. The scope of this book is not to discuss dichotomies in classification of models. To keep things simple, we will just stick to models that can be described with at least one of the following adjectives: stochastic, mechanistic or belong to differential equations systems.
5.2 Packages
Other, usually dynamic models, require more knowledge, experience and some packages. Before you start looking for more tailored solutions, install following packages: deSolve
, fitdistrplus
, rriskDistributions
and truncdist
. First one contains tools for solving differential equations sets, second and third provides you tools to deal with distributions (such as comparing distributions or estimating its parameters), and the last one allows you to use truncated distributions.
5.3 Simple mechanistic model and noise
To show some basic mechanistic model, we will use the well known Michaelis-Menten function: \(f(x) = \frac{ax}{b+x}\), with parameter a = 2.15 and parameter b = 0.08.
parA <- 2.15
parB <- 0.08
varX <- seq(0,1, length.out = 1000)
mmFunction <- parA * varX/(parB + varX)
plot(mmFunction~varX, type = 'l')
As you can see, as long as you have simple equation it is very straightforward to translate it into R. But we want something more useful, for instance adding noise or uncertainty to our model. Lets assume, that we are not sure what is the value of parameter a. Lets say that from previous research and expert knowledge we assume that it can be as high 2.5, but never is lower than 1.8. Also it usually takes value of 2.15. Knowing this we can use PERT distribution to include uncertainty in model.
library('mc2d')
sParA <- rpert(1000, 1.8, 2.15, 2.5)
parB <- 0.08
mmSAFunction <- sParA * varX/(parB + varX)
We added some uncertainty to our function. But what with parameter b, how our uncertainty on its value affects the outcome? Lets assume that it’s value is normally distributed with mean = 0.8 and sd = 0.23.
sParB <- rnorm(1000, 0.08, 0.023)
mmSABFunction <- sParA * varX/(sParB + varX)
Let me put this two functions on plots side by side:
par(mfrow = c(1,2))
plot(mmSAFunction~varX, type = 'l')
plot(mmSABFunction~varX, type = 'l')
par(mfrow = c(1,1))
It seems that inclusion of uncertainty on value of parameter b does change our outcome. Lets also include some variability into the outcome. We can assume that for some reasons value of function will vary more than just our uncertainty about value of both parameters. And usually it varies from \(f(x)\) by some value from uniform distribution. The 25th and 75th percentile are given by: -0.13
and 0.17
. To calculate parameters of this distribution we will use rriskDistributions
package.
library('rriskDistributions')
unifParams <- get.unif.par(p = c(0.25, 0.75), q = c(-0.13, 0.17), plot = F)
fVariability <- runif(1000, min = unifParams[1], max = unifParams[2])
mmFSFunction <- ((sParA * varX/(sParB + varX)) + fVariability)
plot(mmFSFunction~varX, type = 'l')
It seems that there are differences between those three plots. So lets overlay them one on another to inspect visually differences.
plot(varX, mmFunction, type = 'l',
col = 'black', ylim = c(0, 3),
main = 'Michaelis-Menten function', xlab = 'x', ylab = 'f(x) = a*x/(b+x)')
lines(varX, mmSAFunction, col = 'blue')
lines(varX, mmSABFunction, col = 'green', lty = 'dashed')
lines(varX, mmFSFunction, col = 'red', lty = 'dotted')
5.4 Solving differential equations
5.4.1 The simple epidemiological
SIR (Susceptible, Infectious, Recovered) is a typical compartmental model for epidemiology. Since it has only 3 compartments, it is hard to find an easier one to model with differential equations. In our example we will use slightly more complicated example with four compartments – SEIR (Susceptible, Exposed, Infectious, Recovered). We begin with defining parameters of initial population. We need to define: birth and death rate, transmission (\(\beta\)), \(\gamma\) (\(\frac{1}{\gamma}\) defines infectious period) and \(\alpha\) (\(\frac{1}{\alpha}\) defines latent period). Than we define time and initial conditions – number of all specimens, population size, number of exposed, number of initially infected, number of initially recovered, which we combine in initial
values vector.
Main step of this procedure is to define function which will be used to solve Ordinary Differential Equations (ODE). This function takes three parameter – t (which is time sequence), state (which are our initial conditions) and parameters. In the body of the function we define differential equations which connect our compartments. To solve the system of differential equations we use ode()
function from deSolve
package and save our results in modelOutput
variable, which we will later use to make a plot.
parameters <- c(b = 0.1, # birth rate
d = 0.1, # death rate
beta = 0.00025, # transmission parameter
gamma = 0.6, # 1/gamma = infectious period
a = 0.1 # 1/a = latent period
)
time <- 1:100
# Initial conditions
N = 15000 # population size
E0 = 150 # initialy exposed
I0 = 15 # initialy infected
R0 = 20 # initialy recovered
initial <- c(S = N - (E0 + I0 + R0), E = E0, I= I0, R = R0)
# ODE Model
fSEIR <- function(t, state, parameters) {
with(as.list(c(state, parameters)), {
dS = b * (S + E + I + R) - beta * S * I - d * S
dE = beta * S * I - a * E - d * E
dI = a * E - gamma * I - d * I
dR = gamma * I - d * R
return(list(c(dS, dE, dI, dR)))
})
}
modelOutput <- deSolve::ode(y = initial, func = fSEIR, times = time, parms = parameters)
head(modelOutput)
## time S E I R
## [1,] 1 14815.00 150.0000 15.00000 20.00000
## [2,] 2 14771.93 180.7236 19.41006 27.94129
## [3,] 3 14717.22 220.8724 24.19132 37.72072
## [4,] 4 14649.90 270.7314 29.83648 49.53296
## [5,] 5 14567.85 331.7169 36.66138 63.77320
## [6,] 6 14468.27 405.8173 44.94943 80.96618
5.4.2 Ploting SERI model
To create a plot using our favorite library ggplot2
(which will be described with more details in chapter 7) we first need to convert our modelOutput to object of class data frame. Than we can use code below to plot our model.
modelOutput <- as.data.frame(modelOutput)
ggplot(modelOutput, aes(x = time)) +
geom_line(aes(y = S, colour = "S")) +
geom_line(aes(y = E, colour = "E")) +
geom_line(aes(y = I, colour = "I")) +
geom_line(aes(y = R, colour = "R"))
However, the element geom_line
is repeated four times, which does not look nice. We can change it with little effort, and also define some better aesthetics:
modelOutput <- as.data.frame(modelOutput) %>%
gather(key = compartment, value = value, -time) %>%
left_join(data.frame(compartment = c("S", "E", "I", "R"),
ordered = 1:4,
stringsAsFactors = F), by = 'compartment')
ggplot(modelOutput, aes(x = time, y = value,
colour = reorder(compartment, ordered))) +
geom_line() +
viridis::scale_colour_viridis(discrete = T) +
theme_bw() +
theme(panel.grid.major.y = element_line(colour = "#dfdfdf")) +
labs(colour = 'Compartment',
x = 'Time',
y = 'Population size',
title = 'SERI epidemiological model')
You might wonder why we added additional column to modelOutput
data frame. The thing is that ggplot
automatically maps some aesthetics to groups using alphabetical order. Created column in which we store numbers that refer to compartment order in SERI acronym. Than we use it as argument to reorder
function inside ggplot
, which under the hood transforms variable to factor and change level orders. Using this approach, we don’t need to change all the orderings of variables and aesthetics manually. I also used color palette from *viridis
package, which contains four nice looking color palettes, which are colorblind safe (at least in theory).


Flexbox based grid
col 1 of 12
col 1 of 12
col 1 of 12
col 1 of 12
col 1 of 12
col 1 of 12
col 1 of 12
col 1 of 12
col 1 of 12
col 1 of 12
col 1 of 12
col 1 of 12
col 2 of 12
col 2 of 12
col 2 of 12
col 2 of 12
col 2 of 12
col 2 of 12
col 3 of 12
col 3 of 12
col 3 of 12
col 3 of 12
col 4 of 12
col 4 of 12
col 4 of 12
col 6 of 12
col 6 of 12
col 12 of 12


| Home | Trees | Indices | Help |
|
|---|
|
|
pymunk is a python wrapper for the 2d physics library Chipmunk
IRC: #pymunk on irc.freenode.net
Homepage: http://code.google.com/p/pymunk/
Forum: http://www.slembcke.net/forums/viewforum.php?f=6
Version: $Id: __init__.py 153 2008-11-01 22:14:58Z<EMAIL_ADDRESS>$
| Submodules | |
|
| Classes | |
|
Space Spaces are the basic unit of simulation. |
|
| Body | |
|
Shape Base class for all the shapes. |
|
|
Circle A circle shape defined by a radius |
|
|
Segment A line segment shape between two points This shape is mainly intended as a static shape. |
|
|
Poly A polygon shape |
|
| Joint | |
|
PinJoint Keeps the anchor points at a set distance from one another. |
|
|
SlideJoint Like pin joints, but have a minimum and maximum distance. |
|
|
PivotJoint Simply allow two objects to pivot about a single point. |
|
|
GrooveJoint Similar to a pivot joint, but one of the anchors is on a linear slide instead of being fixed. |
|
| Contact | |
|
Arbiter Class for tracking collisions between shapes. |
| Variables | |
version =
The release version of this pymunk installation |
|
inf = 1e+100 Infinity that can be passed as mass or inertia to Body |
| Variables Details |
versionThe release version of this pymunk installation Valid only if pymunk was installed from a source or binary distribution (i.e. not in a checked-out copy from svn).
|
infInfinity that can be passed as mass or inertia to Body Use this as mass and inertia when you need to create a static body.
|
| Home | Trees | Indices | Help |
|
|---|
| Generated by Epydoc 3.0.1 on Sat Nov 01 23:36:27 2008 | http://epydoc.sourceforge.net |


PETA
PETA has long campaigned for the rights of animals everywhere. While it's easy to sympathize with a rather photogenic animal such as a rabbit or deer, fish are another matter. Fish are rather hard to sympathize with since they are so different than most other animals that we would encounter normally. As a result we tried to invoke sympathy regarding the fish's situation
The following three pieces were designed to draw attention to several important problems facing sea life and the survival and health of our oceans today such as pollution, overfishing and farm fishing. None of the following are photoshopped. Instead a series of models were built and photographed to capture the scenes


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Panamalar NX-SM200 16A Plug
Template
{"NAME":"NX-SM200","GPIO":[0,255,0,255,56,134,0,0,131,17,132,21,0],"FLAG":0,"BASE":45}
Works out of the box
{"NAME":"NX-SM200","GPIO":[0,255,0,255,56,134,0,0,131,17,132,21,0],"FLAG":0,"BASE":45}
Works out of the box


Notebooks
Story: The Water's story: more about how maidens adorn young men
The Water's story: more about how maidens adorn young men
Title
The Water's story: more about how maidens adorn young men
Collection
Summary
What a Maiden must eat and avoid (L II.-28. 2520-2524). How a New Maiden is treated, has been told in the Katkop dialect, by !kwéiten ta ||ken (L VI.-2. 3997-4003); who also narrates the use made by Bushman Maidens of a kind of red stone (L VI.-1. 3970-3974). Maidens paint and adorn young men so that the rain and its lightning will not harm them out on the hunting-ground.
Comments
1) The page numbers in this book (VI-1) are duplicates of those in notebook IV-4, 2) See also About maidens and how they adorn young men with |ka or rooi klip, 3) This story is found in Book VI-1
Contributors
!kweiten ta ||ken (Rachel) (VI)
Date
26 December 1874
Categories
New maidens, The Rain and Rain's water, Custom and daily life
Keywords
maidens (and the Water's story) , maidens (and rain) , maidens (adorn young men) , maidens (protect young men from rain) , maidens (paint young men) , maidens (protect from an angry rain) , rain (and the Water's story) , rain (angry) , rain (and protection of young men) , rain (and painting by maidens) , rain (gives sores) , rain (and lightning) , painting (and the Water's story) , painting (as protection from rain) , painting (by maidens) , painting (of young men) , young men (and the Water's story) , young men (maidens paint and adorn them) , young men (the protection of from angry rain) , young men (the rain makes them sick with sores) , Water (its story and how maidens adorn young men) , Water (how maidens adorn young men) , illness (the angry rain makes young men sick with sores) , illness (from lightning) , illness (and the Water's story) , illness (why maidens adorn young men) , hunting ground (and the Water's story) , hunting ground (maidens adorn young men as protection from lightning on) , lightning (the rain makes young men sick with sores from) , lightning (and the angry rain) , lightning (and the Water's story) , lightning (and how maidens adorn young men as protection from) , lightning (on the hunting ground) , adornment (how maidens paint young men) , adornment (as protection from the rain and lightning) , adornment (by maidens) , adornment (of young men)
Story Pages
3974


The ASParser framework is a collection of classes used to implement a compiler for Macromedia's ActionScript Version 1.0. ActionScript statements are parsed to generate the byte-codes and actions that will be executed by the Flash Player.
The process of compiling a script take two steps. The script is parsed and converted into a tree of ASNodes then it is encoded to generate the binary data in the Flash (SWF) File Format which specifies the byte-codes and actions executed by the Flash Player.
String script = "a = b + c;" int swfVersion = 5; ASParser parser = new ASParser(); ASNode root = parser.parse(script); byte[] data = root.encode(swfVersion);
The version of Flash that the ASNodes will be encoded to is passed to the root node. The file format of the data structures used to represent movie clip events and button events changed when Macromedia released Version 6 an 7 of the Flash File Format Specification respectively so the version number is required to encode the nodes correctly.
Frames, Buttons or Movie Clips
The parser can be used to compile scripts that are executed when, a frame is
displayed, an event occurs in a button or an event occurs in a movie clip.
Scripts that will be executed when a frame is displayed can be encoded then added to an FSDoAction object.
String script = "gotoFrame(1)"; byte[] encodedActions = parser.parse(script).encode(swfVersion); FSDoAction frameActions = new FSDoAction(encodedActions); movie.add(frameActions);
For actions executed when an event in a button occurs there are two options for writing a script, either specify the actions for an individual button event or for all the events that a button responds to in a single script.
When specifying the actions that are executed in response to a set of one or more events the encoded actions are added to an FSButtonEvent object:
String script = "gotoFrame(1)"; int event = FSButtonEvent.Release; byte[] encodedActions = parser.parse(script).encode(swfVersion); FSButtonEvent eventActions = new FSButtonEvent(event, encodedActions); ... button.add(eventActions); ... movie.add(button);
For specifying multiple events ActionScript provides the on() block construct. When used in a script the nodes are encoded as an array of button event objects and are added to an FSDefineButton2 object:
// This script advances the movie by 10 frames each time a // button is clicked. String script = " on (press) { frameNumber = currentFrame + 10; } on (release) { currentFrame = frameNumber gotoFrame(frameNumber); } "; byte[] encodedActions = parser.parse(script).encode(swfVersion); ... button.add(encodedActions); ... movie.add(button);
NOTE: Although a script can contain more than one on() block, other statements cannot be mixed with on() statements. The parser will generate an error.
For movie clip events the situation is similar to generating actions for buttons. ActionScript contains the onClipEvent() block to allow actions to be specified for all the events a movie clip responds to in a single script.
Specify the actions for a single event:
String script = "startDrag();"; int event = FSClipEvent.MouseDown; byte[] encodedActions = parser.parse(script).encode(swfVersion); FSClipEvent eventActions = new FSClipEvent(event, encodedActions); ... placeObject.add(eventActions);
Specify the actions for more than one event.
// Drag the mouse clip around the screen with the mouse String script = " on (mouseDown) { startDrag(); } on (mouseUp) { stopDrag(); } "; byte[] encodedEvents = parser.parse(script).encode(swfVersion); ... placeObject.add(encodedEvents);
NOTE: As with button events a script can contain more than one onClipEvent() block, other statements cannot be mixed with onClipEvent() statements. The parser will generate an error.
Using ASNodes\n Generating ASNodes as an intermediate step has two advantages: sections of frequently used code can be parsed once and then encoded in the different objects added to a movie greatly improving performance. For simple scripts trees of ASNodes can be constructed 'manually' - again eliminating the overhead of the parser.
ASNode a = new ASNode(ASNode.Identifier, "a"); ASNode b = new ASNode(ASNode.Identifier, "b"); ASNode c = new ASNode(ASNode.Identifier, "c"); ASNode add = new ASNode(ASNode.Add, a, b); ASNode assign = new ASNode(a, add);
The ASNode class defines a full range of node types ranging from specifying literals through to complex structures such as iterative and conditional constructs such as for loops and if/else blocks.
The framework contains an example Interpreter class which can be used to parse scripts and display a list of ASNode objects that a script is translated into.
Search Paths\n ActionScript supports #include directives which allow scripts to be nested. When the script is preprocessed the current working directory is checked for for the file specified. The parser also supports search paths which is a list of directories which should also be checked for the file.
Paths may be specified as an array of path names or as a single string with paths separated by the system-dependent path separator character - ';' on Windows platforms and ':' for Unix compatible platforms.
Error Handling
The parser will throw a ParseException if it detects an error in the syntax of
the script it is parsing. The ParseException contains information on the token
that triggered the error however this can be cryptic. More useful information
is maintained by the parser which has four methods for identifying the line
in the script that triggered the error:
getFilename() returns the name of the file that contained the script that caused the error. Scripts are passed as strings to the parser however #include directives can be used to load files containing ActionScript and can be nested to any depth. If an error occurs in the script passed directly to the parser then this method will return an empty string "", otherwise the name of the file that contains the line that caused the error is returned.
getError() returns a string error code that identifies the type of error that occured, e.g. "FileNotFound". The string can be used as a key to generate localized error message. The ASParser class contains a list of error keys.
getLineNumber() returns the line number (starting at 1) in the script where the error was found.
getLine() returns the line of code that caused the error.
try { ... ASNode root = parser.parse(script); ... } catch (ParseException e) { String filename = parser.getFilename(); String line = parser.getLine(); String message = parser.getError(); int lineNumber = parser.getLineNumber(); ... }


BAN to enhance stationery drive 21 Nov 2019, 07:39 by Staff Reporter Home \ Business \ BAN to enhance stationery drive - New Era Live


Syntax:
make-list size &key initial-element => list
Arguments and Values:
size---a non-negative integer.
initial-element---an object. The default is nil.
list---a list.
Description:
Returns a list of length given by size, each of the elements of which is initial-element.
Examples:
(make-list 5) => (NIL NIL NIL NIL NIL) (make-list 3 :initial-element 'rah) => (RAH RAH RAH) (make-list 2 :initial-element '(1 2 3)) => ((1 2 3) (1 2 3)) (make-list 0) => NIL ;i.e., () (make-list 0 :initial-element 'new-element) => NIL
Side Effects: None.
Affected By: None.
Exceptional Situations:
Should signal an error of type type-error if size is not a non-negative integer.
See Also:
Notes: None.


I have gotten spoiled over the last decade by tools like Pandoc which let me assemble a final document from a set of smaller documents. Working with Google Docs for work… there is just none of that. One more thing I dislike about Google Docs.


| Created: | 03.02.2012 14:05:50 |
| Modified: | 03.02.2012 14:05:50 |
| Project: | |
| Advanced: |
| Operation | ||
|
Public describeFeatureType( DescribeFeatureType: <undefined>, |
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Details:
Sequential
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Public describeStoredQueries( DescribeStoredQueries: <undefined>, |
||
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Details:
Sequential
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Public getCapabilities( GetCapabilities: <undefined>, |
||
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Details:
Sequential
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Public getFeature( GetFeature: <undefined>, |
||
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Details:
Sequential
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Public listStoredQueries( ListStoredQueries: <undefined>, |
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Details:
Sequential
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| Tag | Value |
| persistence | transient |
|
Details:
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| Property | Value |
| isFinalSpecialization: | 0 |
| Object | Type | Connection | Direction | Notes |
| QueryProcessor | Interface | Dependency | To | |
| WebFeatureServiceBasic | Interface | Dependency | From |


Defaults & options
object
:
Typed defaults & options
(boolean)
: only backspace what doesn't match the previous string
(string)
: attribute for typing
Ex: input placeholder, value, or just HTML text
(boolean)
: bind to focus and blur if el is text input
TODO: These methods can probably be combined somehow Parse HTML tags & HTML Characters
Initialize the Typed object
Welcome to Typed.js!
object
:
a new Typed object