Please don't use seeds with any amount of IOTA on it. You may use all your money.
This example is not ready for production use.
Only use seeds and passwords with a sufficient length (e.g. 81 characters). Never give your seed and password to anybody else.


Winter 2019 guest speakers
- January 20, 2019: David Brancaccio
- February 17, 2019: Robert Fitzpatrick
- March 17, 2019: Juan Williams
Contact us by phone at<PHONE_NUMBER> for ticket information.
Contact us by phone at<PHONE_NUMBER> for ticket information.


CHECK M8
BACK
INBOX
Today
Yesterday
09/20/19
ctcambaliza
Hi juan_delacruz01, my son was absent ...
10:01 PM
8:56 PM
rtcisnero
Hi juan_delacruz01, my daughter was abse...
ymdionisio
Hi juan_delacruz01, my son was absent ...
5:01 PM
jbcaridad
Hi juan_delacruz01, my daughter was late ...
3:12 PM
jmbermudo
Hi juan_delacruz01, my daughter was absen...
2:12 AM
emgarcia
Hi juan_delacruz01, my son was late becau...
10:27 AM


It barks when it feels threatened and if chased, the Pudú will run in a zig-zag pattern. Pudús are rumoured to die from fear-induced cardiac arrest if greatly surprised.
Threats to the Pudú
Hungry dogs
Deforestation
Diseases
Illegal pet trade
Bad Pudú moms
Conservation
Zoos
Rehabilitation programs
Nahuel Huapi National Park
Global Efforts
World Wildlife Fund
Wildlife Conservation Society
CITES: Convention on International Trade in Endangered Species


This tests loading of a PNG image and no HTML when the HTTP content-type is set to "text/html" . Expected : This page should have simple TEXT .


Linear relationship between tire lateral force and slip angle.
The code of this class can be found in TireLinear. It inherits methods from abstract class Tire. The complete list of class codes is in API.
The class LinearTire has two methods
Fy = TireModel.Characteristic(alpha)
TireModel.PlotTire()
The following table describes the input arguments
| alpha | Tire slip angle [rad] |
| Fy | Tire lateral force [N] |
The lateral force of the tire can be calculated as
$$ F_y = K \alpha $$
where $F_y$ is the lateral force, $K$ is the cornering stiffness and $\alpha$ is the tire slip angle.
Hypothesis


Contact Address<EMAIL_ADDRESS>Arun Ramachandran
Birenjith P. S.
Assistant Professor, Govt. Engineering College Bartonhill, Thiruvananthapuram
Deepak Rajendraprasad
Assistant Professor, Indian Institute of Technology Palakkad
Sajith V. K.
Director, Engineering, QBurst
Sreeram Hariharan
Senior Developer, Amazon Palo Alto1
Kiran Chandramohan
The affiliations above may not explain how we came together for this project. The affiliations below should.
Arun
B.Tech EEE, 2001-2005, College of Engineering Trivandrum
Biren
B.Tech ECE, 1998-2002, College of Engineering Trivandrum
Deepak
B.Tech ECE, 1998-2002, College of Engineering Trivandrum
Kiran
B.Tech EEE, 2001-2005, College of Engineering Trivandrum
Sajith
B.Tech CSE, 1998-2002, College of Engineering Trivandrum
Sreeram
B.Tech ECE, 1999-2003, College of Engineering Trivandrum
Dr. Anish T. S.
Associate Professor, Department of Communiity Medicine,
Government Medical College, Thiruvananthapuram.
Dr. Sekhar Lukose Kuriakose
Kerala State Disaster Management Authority.
Birenjith had long discussions with Dr. Anish and Dr. Sekhar from the very beginning. That helped us immensely in our general understanding of the behaviour of the corona virus. Almost all the default parameters for the SEIR model that we are using are infomed by those discussions and understanding.
Dr. B. K. Bhavathrathan
Asst. Professor, Civil Engineering, IIT Palakkad.
Dr. Sahely Bhadra
Asst. Professor, Computer Science & Engineering, IIT Palakkad.
Dr. Mrinal Kanti Das
Asst. Professor, Computer Science & Engineering, IIT Palakkad.
Dr. Sarath Sasi
Asst. Professor, Mathematics, IIT Palakkad.
Prof. P. B. Sunil Kumar
Director, IIT Palakkad.
Deepak benefitted from the discussions with the above faculty members of IIT Palakkad. Sahely and Mrinal helped in vetting some of the parameter choices by learning them against actual data using techniques from machine learning. Bhavath’s advice on transportation models and Sarath’s inputs on the the differential equations were helpful. Sunil was a constant support to all the Covid-19 related activities including this one at IIT Palakkad.
Not under offical capacity↩


We don't ask about these benefits because they do not entitle you to help with NHS costs:
- PIP (Personal Independence Payment)
- AFIP (Armed Forces Independence Payment)
- DLA (Disability Living Allowance)
- Incapacity Benefit
- Attendance Allowance
- Carer's Allowance
- Housing Benefit
- Child Benefit
- Council Tax Benefit
It's important you know what benefit you get. If you're not sure contact the Jobcentre Plus
Helpline.


Selenium Remote Control
Selenium
Functional Testing for Web Apps
Open Source From
ThoughtWorks and Friends
Show Log
Tellurium Log
Slow Mode
Command History:


Click on the graph to get the focus,
and use the Arrow Keys to change it :
- Left/Right : decrease/increase the delay factor
- Up/Down : increase/decrease the motion radius
For more information :
Read the post of Etienne Jacob
- Delay Factor :
- Motion Radius :
Press "R" key to start/stop sound on the Right point
Press "L" key to start/stop sound on the Left point
Press "1", "2" or "3" key, to change the behavior of the Right point


Conway's Game of Life
Next
Start
Abort
Randomize
About
Delay
Seed Density
Generation: 0
Live Cells: 0
Game of Life Implementation
×
Conway's Game of Life is a ceullular automaton created by John Conway in 1970. For my implementation I used my own basic unoptimized algorithm, a toroidal array, and svg for graphics. Created in June 2016, updated in September 2018.


| Home > Documentation > Developing > Development environment > Installing Geronimo Eclipse Plugin |
This page describes how to install the current release of the GEP (GEP 3.0-M1).
Note that v3.0-M1 Geronimo server adapter feature provides server adapters for the v1.1.x, v2.0.x, v2.1.x, v2.2 and v3.0-M1 Geronimo servers. The reason for supporting v1.1.x server is to make v1.1.x server adapter compatible with latest version of eclipse. But since Geronimo 1.1 did not officially support JDK 6, it's not recommended to use v1.1.x server adapter with JDK 6. See the requirement in GERONIMODEVTOOLS-578.
If you plan to upgrade GEP to the latest version, you have to uninstall the existing one from your Eclipse first. See Uninstalling GEP for more details.
Sun JDK 6.0 can be downloaded from Sun's J2SE 6.0 Downloads site. The Eclipse IDE for Java EE Developers can be downloaded from the Eclipse Downloads site. Download and extract the Eclipse IDE for Java EE Developers archives to a directory of your choice (for e.g. C:\eclipse). The archive will be extracted to a directory named eclipse under the directory you specified (for e.g. C:\eclipse\eclipse), referred to as <ECLIPSE_HOME> from now on. Make sure that the JDK in the PATH is Sun JDK 6.0. Launch Eclipse by running <ECLIPSE_HOME>/eclipse
.
To install the Geronimo server, download the Geronimo 3.0-M1 server from http://www.apache.org/dist/geronimo/ and extract the archive to a directory of your choice (for e.g. C:\g). The archive will be extracted to a directory geronimo-tomcat6-javaee5-3.0-M1 (for e.g. C:\g\geronimo-tomcat7-javaee5-3.0-M1) or geronimo-jetty7-javaee6-3.0-M1 depending on whether you downloaded Geronimo 3.0-M1 distribution with Tomcat or Jetty as the web container. We will refer to this directory as <GERONIMO_HOME> from now on.
A video desktop demonstration of Installing the Apache Geronimo Eclipse Plugin with the Eclipse Update Manager is available.
<ECLIPSE_HOME>/eclipse
. By default Eclipse will be launched with Java EE perspective.<ECLIPSE_HOME>/eclipse
.By default Eclipse will be launched with Java EE perspective.From version 3.4, Eclipse adopted a new update manager called P2. The update manager can't uninstall plug-ins that isn't installed by P2. As a result, with this method, GEP can't be uninstalled by eclipse update manager in eclipse 3.4. See Bug245469 for details.
GEP may be uninstalled in a similar manner in which it was installed.
Uninstall does not work well on Helios, especially for GEP. It will uninstall GEP, but then you can't reinstall it, as it doesn't really get uninstalled. The only way to reinstall GEP in Helios is to reinstall Helios itself! See Eclipse Bugzilla 244935 for details, and hopefully a fix soon!
| Bookmark this on Delicious Digg this | Privacy Policy - Copyright © 2003-2013, The Apache Software Foundation, Licensed under ASL 2.0. |


Aung San Suu Kyi
U Thant
U Daniel Aung
U Teddy Buri
Beauty Pageants
Miss Asia Pacific World Name: May Myat Noe Date of Birth: October 13,1998 Age: 19 Born In: Yangon,Myanmar Occupation: Model Height: 1.73M(5 ft 8 in)
Category: LatestModels
Name: Su Hlaing Win Age: 22years Relationship: Single Studied at: STI Myanmar University
Category: LatestActors
Name: Phway Phway Age: 29years Relationship: Single She got two academy awards.
Category: LatestVocalist
Name: Ni Ni Khin Zaw Age: 25years Relationship: Single
Category: LatestDirector
Name: Kyi Phyu Shin She is a Burmese film director.At the 2008 National Geographic Society's All Roads Film Festival,she won the Best Short award for her documentary A Sketch of Wathone.She attened at BEHS 2 Latha and Yangon Film School.
Category: LatestSocial Media Influencers
Name: Nay Chi Oo Age: 26years She is a Beauty Blogger.She studied at Forentic and Medical Sciences at University of Bradford.
Category: Latest


lauren's blog
phase zero
cultural
technical
projects
html/css/dom pt. 1
html/css/dom pt. 2
Design to Web
javascript basics
problem solving
javascript language
scope
Time & Habits
Reflections
emotional intelligence
meditation process
daily mindfulness
self confidence
control
motivation
connecting
leadership
Painting


[§482B-8] Effect on other law. (a) Except as provided in subsection (b) this chapter displaces conflicting tort, restitutionary, and other law of this State providing civil remedies for misappropriation of a trade secret.
(b) This chapter does not affect:
(1) Contractual remedies, whether or not based upon misappropriation of a trade secret;
(2) Other civil remedies that are not based upon misappropriation of a trade secret; or
(3) Criminal remedies, whether or not based upon misappropriation of a trade secret. [L 1989, c 221, pt of §1]
Case Notes
Plaintiff's fraud and unfair competition claims were based upon a misappropriation of plaintiff's confidential information; therefore, the claims were preempted under either the Hawaii Uniform Trade Secrets Act or the California Uniform Trade Secrets Act. 92 F. Supp. 3d 982 (2015).


Catalyst Webminer
hashes/s
0
threads
2
+
/
-
Total Hashes | Accepted Shares
0
Start
© 2019 | Crypto Webminer | Catalyst Development Team.


The Pioneer Woman
g
Pasta
cup
Ricotta cheese
tbsp
Toasted almond slices
Sea salt
Minced green onions
Sesame seeds


Nyzo version 599 (commit on GitHub) reduces the rate at which verifier-removal votes are sent.
This version affects only the verifier. No other run modes send verifier-removal votes.
This version is based on a GitHub issue concerning TCP message volume due to verifier-removal votes. While verifier-removal votes are important, they are not urgent. This version reduces the frequency of these vote messages from 10 per block to one per block.
In VerifierPerformanceManager, the messagesPerIteration constant was removed. The new process is unable to send a variable number of messages; it sends exactly one message per iteration.
In VerifierPerformanceManager.sendVotes(), the cutoff timestamp is no longer calculated. Instead of sending to multiple verifiers under a cutoff, the new logic sends to only one verifier with the oldest timestamp.
The new process sends the verifier-removal vote to a verifier with the oldest timestamp. The timestamp represents the last time this running that this verifier sent a removal vote to the other verifier. Initially, all of these timestamps will be 0. In the steady state, this is essentially a circular queue. While this process takes time to distribute votes, the time required is inconsequential. The verifier-removal process exists to ensure that underperforming verifiers are eventually removed. This process does not, to be effective, require swift action.


5 Knacks has emerged as an inventive IT 8 Software service provider, the core motive to transform and value addition to the modern day business. We adopt the unmarked approach to counter the IT challenges where traditional approach falls behind. 5knacks holds back customers ensuring continuous support to stand competitively. We are driven by our core values Integrity, Commitment, Quality, and reliability.2018
5knacks runs on real-time industry experience to deliver the best outcome by adhering to the Standards & SLAs (Service Level Agreements). Ascended by Performance, Prime of life skills & Propensity to innovate advance business solutions has resulted in building long clientele list
5knacks got established in 2018, based in Hyderabad. The super-real combine efforts of 5 techies thriving to build incredible business platforms, mobility, web services & SAS applications to transform the business landscape to look for new business growth. Our impeccable Services & cost scalability delights Customers.
5knacks CoE(Center of Excellence): Our specialized skillful 8 expert team delivers the solutions 8 IT Service with high-level leadership and the continuous intent to spread the knowledge at the organization level.


UAG Metropolis for Surface Pro X review: Your best bet for protection
There aren't too many rugged cases for the new Surface Pro X but UAG already has one of the best.
by Daniel RubinoSource: Daniel Rubino/Windows Central
Thanks to the built-in 4G LTE, the Microsoft Surface Pro X lends itself well to those who need to work away from the office. Urban Armor Gear (UAG) has staked its name on making rugged military-grade cases for expensive electronics, and the Surface Pro X is now a part of that family.
I spent the last few days using the UAG Metropolis for Surface Pro X, and here is what you need to know.
Cool color, rugged protection
UAG Metropolis for Surface Pro X
Bottom line: The UAG Metropolis for Surface Pro X offers MIL-STD 810G 516.6 drop protection that looks great. While it adds weight and thickness, the peace of mind gained is well worth the $70 if you're working outdoors. An external pen slot is a smart option for those who don't want to use the Surface Slim Pen.
Pros
- MIL-STD 810G 516.6 drop protection
- Cobalt and magma colors are great
- Kickstand works well
- Access to all ports, speakers, and buttons
- Keyboard latch and pen holder
Cons
- Pricey
- No port protection
- Plastic kickstand
What you'll love about UAG Metropolis for Surface Pro X
Source: Daniel Rubino/Windows Central
The UAG Metropolis for Surface Pro X is a simple concept: you slip in the Surface Pro X and gain military-level drop protection. The case requires no tools to install or remove, making it ideal for those who prefer security sometimes but may want to "go naked" to keep things lite on other occasions.
The materials used are a combination of plastic and hard rubber with heavily reinforced corners (where most drop damage will occur). The rear skin – cobalt blue for this review unit – looks reptilian and feels smooth. The color contrast with the all-black Surface Pro X is excellent, but there is an option for magma red or only plain black for those who prefer less flamboyance.
There are cutouts for the rear camera, both Type-C ports and Surface Connect port. Faux button covers exist for the power button and volume keys – they all worked well and can be operated while wearing gloves.  That latch also helps protect the display since the keyboard cover acts as a screen protector (Surface Pro X already has magnets to keep the lid closed, but they are not strong enough to work during a drop).
The UAG Metropolis has an external Surface Pen holder on the top of the case. Many people will use the new Surface Slim Pen, which hides in the Signature keyboard cover, but users can buy a cheaper keyboard without that pen. That means users could use a regular Surface Pen and this holder, which makes more sense for those wearing gloves or working outside. UAG could have easily left this off, but it was smart to leave it as an option for those who prefer that style.
Source: Daniel Rubino/Windows Central
There are also small slots on all four corners that can be utilized for lanyards. UAG removed some of the bolts from previous releases of this case for other devices. It's not clear if those bolts ever did much on the rear cover beside provide a rugged look, but they are not missed with this updated design.
What you'll dislike about UAG Metropolis for Surface Pro X
Compared to the Surface Go's UAG Metropolis cover, this new one for the Surface Pro X swaps out a metal kickstand for a hard plastic one. I have no concerns over longevity, and the latest design feels better, but I understand how some would prefer a metal kickstand for outdoor work. The benefit of going plastic is reduced weight and keeping the Surface Pro X as light as possible.
Should you buy the UAG Metropolis for Surface Pro X?
Source: Daniel Rubino/Windows Central
The most apparent tradeoff with adding a rugged case to the slim and thin Surface Pro X is added weight. The Surface Pro X with keyboard and Surface Slim Pen weighs 2.37 pounds (1.08kg). Tossing on the UAG Metropolis bumps that to 3.2 pounds (1.45kg), and it makes the PC feels significantly thicker. But there's not much you can do about that, and the UAG is about as thin as you as you can get while still delivering that MIL-STD 810G 516.6 level of drop protection.
I love the look of the Metropolis for the Surface Pro X. The cobalt blue looks good, and carrying the Surface Pro X around with this case is very reassuring. It's the kind of case I could leave on all day and not feel like I'm compromising anything regarding functionality. I have access to the keyboard, ports, pen, and buttons, just like I would without the case.
The question is whether you need the UAG Metropolis. While it's true this case benefits anyone prone to drops or bangs, the only people who should buy this are those with specific job requirements. Going camping for the weekend, using the Surface Pro X's LTE and GPS abilities while outside, construction workers or engineers, all would be smart to get this case. Or maybe if you're just really clumsy.
For those who need even more functionality than the UAG Metropolis, like shoulder and hand straps, UAG has the $100 Plasma case for the Surface Pro X.
4.5 out of 5
Overall, though, I like the UAG Metropolis and recommend it for those who require higher levels of device protection. All UAG products have a one-year manufacturer warranty.
Tough but cool
UAG Metropolis for Surface Pro X
MIL-STD-810G with little compromise
The UAG Metropolis is one of the first mil-spec rugged cases for the Surface Pro X. UAG is a brand you can trust, and the design, looks, functionality, and protection meet the needs of those who need to take the Surface Pro X to more extreme environments. The plastic kickstand may be off-putting for some, but it makes sense to keep the Surface Pro X as light as possible.
We may earn a commission for purchases using our links. Learn more.


So easy! Read a few tips on adding images...
Visit your library of musicians and songs
Read up on some hints to add songs and images...
Never forget that favorite artist or song again
Customize your own link over to your music hosting sites, like YouTube!
Fill up this site with your favorite images of your artists and music


Afterwood
As a child I struggled with honesty; often shooting from the hip meant I never really considered the consequences of my actions and so found myself facing the ire of my parents more frequently than I should have. It was never anything serious but I began to find it easy to explain why anything that went wrong was never entirely my fault. I suspect the innocence of childhood gave me the benefit of the doubt more often than I deserved too. Fortunately my parents did a good enough job that my moral compass ensured I never strayed far from the straight and narrow.
Software development has always appeared more forgiving than many other jobs. In my early days as a programmer there were a million different reasons why things never went smoothly. For example the very environment we worked in was brittle – you would routinely have to restart 16-bit Windows and pray your hard disk was still intact. I’ve lost many hours trying to debug even user-mode applications that would cause the earlier versions of Windows to crash. Then you have compilers with code generation bugs which you needed to work around by writing the same code in a different way. And then there’s the language itself with its many traps and pitfalls for the unwary programmer that resulted in “undefined behaviour” (UB) which you often found out the hard way. Add to this the ambiguities of natural language leading to poorly specified requirements and you’ll find it’s fairly easy to avoid having the finger pointed directly at yourself as the root cause of most problems.
My safe little bubble eventually burst one afternoon courtesy of a support incident at a large financial organisation. I was genuinely surprised when a colleague quietly asked me why I had just rebooted our system’s main servers in the production environment. He confirmed that he’d double checked the security logs and, yes, my login was in there as being the instigator of the machine restarts, which seemed pretty conclusive. It didn’t take long before I’d realised what had happened and how the mistake had been made. Yes, I had a pretty good clue where things had gone wrong but ultimately the mistake was mine. My stomach churned as I waited for the fallout. You often hear tales about how people have been marched straight off the premises for misconduct and can’t help but wonder if there’s a grain of truth somewhere in those friend-of-a-friend stories. Being a contractor and fairly new to the company didn’t feel like it was exactly going to help my cause either.
Of course nothing happened. In retrospect my mistake was insignificant compared to the many others that occurred around me and, whilst there was a loss of service as everything slowly came back up and recovered, the actual loss to the business was probably less than the time taken to work out what it would have cost. Naturally the first code change I made straight after was to my custom admin tool so that machine names starting with a P and D were more easily discernible – bright red for the former, something contrasting for the latter. Oh, and it popped up a warning message too, for good measure.
The notion of holding a post-mortem is not a new one although the emphasis on it being a blameless post-mortem seems to have gained more recognition in recent years. My earliest recollection of the idea of post-mortems (outside the medical ones on TV shows like Quincy) was through the embedded software column in Dr Dobbs Journal, written by Ed Nisley. NASA had started making their post-mortems publicly available and so Ed would publish extracts in his column along with some additional commentary. I’ve never worked in that kind of environment but certainly marvelled at the ingenuity it creates working within such constraints. It would be easy to laugh at some of the extremely costly and yet seemingly trivial mistakes they’ve made in the past but the main take-away for me was always that if the super-smart people at somewhere like NASA couldn’t get this software development lark right all the time, then what chance did I stand?
Reading about the recent major outage at a British airline and the apparent scapegoating of a system administrator reminded me of some of my own little mishaps and how they had been dealt with. I’ve clearly been fortunate enough to have worked within teams where the level of trust and respect both within the team and around it are sufficiently high that the occasional mistake is dealt with appropriately. One can only assume that senior managers and shareholders are after a scalp when something of that magnitude goes awry and therefore it takes real courage to stand up and blame the process that let this happen rather than single out the person who was likely the victim of a weak process.
The prime directive, which is read out at the start of a team’s retrospective, is a very clear statement which attempts to try and make the team comfortable so they can get to the business of improving the process they use, rather than blame the people themselves for their actions. Martin Fowler has suggested in the past (based on the work of Pat Kua) how important reading this statement has become, as repeatedly hearing it could potentially change the culture of the team though the physiological effect known as priming.
This also ties in very nicely with “psychological safety” which Google’s recent project Aristotle [1] managed to bolster with some qualitative data. This is nothing entirely new though as “safety” also features in the lower layers of Maslow’s Hierarchy of Needs which he published back in the late 1940’s and has no doubt been the subject of many other research projects in the intervening years. What probably caused Google’s project Aristotle to surface on my (and many other programmers) radar was no doubt down to the workforce studied.
The TL;DR of that research appears to be that we are at our happiest when we work with nice people, although I’m sure it’s highly disingenuous to try and distil it to such a simplistic outcome. I don’t think I’ll ever truly get over the small amount of fear I feel when administering a production system but I also think that may be a healthy attitude, to some degree, to ensure I’m not reckless through complacency. Either way as long as any fear we do feel is one of our own self-restraint and not out of a lack of process, and subsequent retribution, then our productivity will remain at its highest.
Chris Oldwood
15 July 2017
Chris is a freelance programmer who started out as a bedroom coder in the 80’s writing assembler on 8-bit micros. These days it's enterprise grade technology in plush corporate offices. He also commentates on the Godmanchester duck race and can be easily distracted via<EMAIL_ADDRESS>or @chrisoldwood.


You'll Need:
Instructions
Step 1: In a bowl, mix one tablespoon of borax powder with one cup of warm water. Continue to stir until the borax is completely dissolved.
Step 2: In a different bowl, mix together the glue and ½ a cup of water. The slime should be a watery, cohesive mixture.
Step 3: Add food coloring to the watery glue mixture. If you want, you can separate the glue mixture evenly into smaller jars and make each one a different color.
Step 4: In a large bowl, mix the borax solution into the watery craft glue solution. Let it sit for 30 seconds to solidify, and then have some fun with your slime!


Last updated on: July 20, 2021
By signing up for a Fithub Account (as defined in Section 1) or by using any Fithub Services (as defined below), you are agreeing to be bound by the following terms and conditions (the “Terms of Service”).
As used in these Terms of Service, “we”, “us” and “Fithub” means the applicable Fithub Contracting Party (as defined in Section 4 below).
The services offered by Fithub under the Terms of Service include various products and services to help you sell goods and services to buyers, whether online (“Online Services”) by enabling you to create and build your own online store, in person (“POS Services”), or both. Any such services offered by Fithub are referred to in these Terms of Services as the “Services”. Any new features or tools which are added to the current Services shall be also subject to the Terms of Service. You can review the current version of the Terms of Service at any time at https://www.Fithub.com/legal/terms. Fithub reserves the right to update and change the Terms of Service by posting updates and changes to the Fithub website. You are advised to check the Terms of Service from time to time for any updates or changes that may impact you. and if you do not accept such amendments, you must cease using the Services. You must be 18 years or older to be a registured user.
You must read, agree with and accept all of the terms and conditions contained or expressly referenced in these Terms of Service, including Fithub’s Acceptable Use Policy (“AUP”) and Privacy Policy, and, if applicable, the Supplementary Terms of Service for E.U. Merchants ("EU Terms"), the Fithub API License and Terms of Use (“API Terms”) and the Fithub Data Processing Addendum (“DPA”) before you may sign up for a Fithub Account or use any Fithub Service. Additionally, if you offer goods or services in relation to COVID-19, you must read, acknowledge and agree to the Rules of Engagement for Sale of COVID-19 Related Products.
Everyday language summaries are provided for convenience only and appear in bold under each section, but these summaries are not legally binding. Please read the Terms of Service, including any document referred to in these Terms of Service, for the complete picture of your legal requirements. By using Fithub or any Fithub services, you are agreeing to these terms. Be sure to occasionally check back for updates.


Heads Up!
You'll have to scroll down to see everything on this device
Waiting for human player name...
Error! You must enter a name. Reload the page.


U.S. investigators announce they have corroborated some communications between senior Russian officials and other Russian individuals, as detailed in a 35-page dossier compiled by a former British intelligence agent. The dossier included allegations that Russian operatives claim to have compromising personal and financial information about Trump.
Source: CNN


{% extends "app/base1col.html" %} Copyright 2010 Google Inc. Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with the License. You may obtain a copy of the License at http://www.apache.org/licenses/LICENSE-2.0 Unless required by applicable law or agreed to in writing, software distributed under the License is distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the License for the specific language governing permissions and limitations under the License. {% block extra_head %} {% endblock %} {% block titlebar %}
| {% include 'include/notes.html' %} {% ifequal object|class_name "RichTextModel" %} {% include 'include/rich_text_model.html' %} {% else %} {% ifequal object|class_name "VideoModel" %} {% include 'include/video_model.html' %} {% else %} {% ifequal object|class_name "DocLinkModel" %} {% include 'include/doc_link_model.html' %} {% else %} {% ifequal object|class_name "WidgetModel" %} {% include 'include/widget_model.html' %} {% else %} {% ifequal object|class_name "NotePadModel" %} {% include 'include/notepad_model.html' %} {% endifequal %} {% endifequal %} {% endifequal %} {% endifequal %} {% endifequal %} |


{% extends 'base.html' %} {% block content %}
Account Deleted
Your account has been deleted successfully.


@* * Copyright 2021 HM Revenue & Customs * * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. *@ @import config.FrontendAppConfig @import controllers.routes._ @import models.Mode @import uk.gov.hmrc.play.views.html._ @import viewmodels.FileView @import views.ViewUtils._ @import components.notification_banner @(appConfig: FrontendAppConfig, form: Form[_], goodsName: String, files: Seq[FileView], mode: Mode)(implicit request: Request[_], messages: Messages) @main_template( title = s"${errorPrefix(form)} ${if(files.size == 1) {messages("supportingMaterialFileList.title.singular", goodsName)} else {messages("supportingMaterialFileList.title.plural", files.size, goodsName)}}", appConfig = appConfig, bodyClasses = None) { @helpers.form(action = SupportingMaterialFileListController.onSubmit(mode)) { @components.error_summary(form.errors) @notification_banner()(request.flash, messages) @if(files.nonEmpty) { @if(files.size == 1) { @components.heading( messages("supportingMaterialFileList.uploadFileCounter.singular", goodsName), captionMsg = Some(messages("supportingMaterialFileList.caption"))) } else { @components.heading( messages("supportingMaterialFileList.uploadFileCounter.plural", files.size, goodsName), captionMsg = Some(messages("supportingMaterialFileList.caption"))) }
@messages("supportingMaterialFileList.indications")


Task Manager:
Scheduled
#NO
tasks
Id
Description
ID
DESCRIPTION
Running
#NO
task(s)
Id
Identifier
Started At
Description
Action
ID
IDENTIFIER
STARTED_AT
DESCRIPTION
Cancel
Queued
#NO
task(s)
Id
Identifier
Created At
Description
Action
ID
IDENTIFIER
CREATED_AT
DESCRIPTION
Cancel
QUEUED GROUP TASKS


Some of the projects I have worked on
Java, JQuery, Alfresco, CMIS, Oracle...
The first Open System Architecture for Alfresco and healthcare. Provides components to meet the requirements of any healthcare repository. Web access, SOAP integration, interoperability with HL7, XDS & XCA, semantic search, digital signature, multiple repository management, etc…
More infoAngular CLI, Spring Boot, Java 8, Docker, Rabbit MQ, jBPM...
BIC Cloud Workflow is a powerful and intuitive software on basis of newest technologies for the digitization of your administrative processes. On the other hand, BIC Cloud GRC extends BICCW providing everything needed to ensure reliable corporate-wide risk management.
Angular 5, Java, Spring Boot, Docker, PostgreSQL, Nuxeo...
The project aims to improve the efficiency of cities through information and communication technologies. The use of information collected through different means will allow the Administration to make optimal decisions and better use the assets of the city, as well as offer new services that adapt to their real demands. Smart Government goes beyond the capture of this data, since its mission is to apply artificial intelligence systems that interpret and relate all that information, to reach conclusions that could hardly reach a person.
More info


The data source is usually a document database such as MongoDB. I've started a client with a local mongo service and loaded the data from a json document that is supposed to mimic the real-life document one might recieve from a web scraper. I won't go into how to do this with this tutorial so lets assume the documents are already loaded in a local Mongo service.
For my pipeline, I want to extract the text content from my database to flat files (txt) located in a directory called data. I also will write a sectionnames.csv file with the ids and names of the sections. To do this I will call a python script, aptly called loadnyt_data.py. I did this in python as I already had pymongo installed and the main goal is to perform common nlp tasks with julia, not implement python code. Number of files written will be 0 if files already exist locally.
run(`python src/load_nyt_data.py`)
ERROR: failed process: Process(`python src/load_nyt_data.py`, ProcessExited(1)) [1]
The goal is to build a basic text processing pipeline involving tokenization, stripping stopwords and stemming. Ultimately what we want is a sparse representation of the data where 1 row of data is a document and each column is a unique term, such as a unigram, bigram or trigram. The values herein will be generated from a vectorization method which assigns each document term a value which is proportional to its frequency in the document, but inversely proportional to the number of documents in which it occurs.
The main package we will be using for this pipeline is Text Analysis. Text analysis is supported by the JuliaText organization and parallels several supported packages for working with data in the form of text.
using TextAnalysis using Glob
Create an array of filenames
fnames = glob("data/*.txt");
Read an example file
# example file readlines(fnames[1])
42-element Array{String,1}: "" "" "" "" "" "" "" "" "" "" ⋮ "Reservations Accepted. " "Wheelchair access Entrance is up a short flight of stairs from the sidewa lk. Restrooms have handrails. " "" "" "" " " "" "" ""
We can also map a file document type to the filenames in fnames. This produces an array of FileDocuments.
fds = map(FileDocument, fnames);
We can read a file using the text function.
text(fds[1])
"\n\n\n\n\n\n\n\n\n\n\nHey, the man on the phone said. Are you still coming tonight? \n \n\nIt took a moment for me to realize that he was call ing from Distilled to confirm my dinner reservation. \nYes, I replie d. Cool, he said, and sounded as if he meant it. \nDistilled opened in June on the corner of Franklin Street and West Broadway in TriBeCa, the former home of Drew Nieporents Layla and Centrico. The belly dancers and th e frozen-margarita machine are gone, but a certain effervescence remains. S o does Mr. Nieporent, hovering in the background as guru to Distilleds owne rs, the first-time restaurateur Nick Iovacchini and Shane Lyons, the 25-yea r-old chef. \nThe space is blandly handsome, with dark woods and cha rcoal banquettes, breathlessly high ceilings and quasi-medieval wheel chand eliers like crowns of fire. One side is devoted to the bar, where the drink s, by Benjamin Wood, are lady-killers, elegant with a knife twist. Occasion ally 1980s mope rock shimmers from the speakers. \nService is confou ndingly friendly, almost coddling. When I stood outside reading the posted menu, someone came hurrying down the steps to hand me my own copy, so I wou ldnt crane my neck, he said. On arrival and departure, a host leapt to open the door. \nThe mission statement that preceded one meal (We are a modern American public house, the waiter intoned) was both unnecessary and slightly coy about Mr. Lyonss ambitions. Yes, wings are on the menu, but th ey are jacked up with gochujang, Korean fermented soybean and chile paste borrowed, perhaps, from the larder at Momofuku Noodle Bar, where Mr. Lyons worked for a year. \nThere are occasional technical flourishes, like watermelon cubes Cryovaced to intensify their flavor, and mushrooms surrou nded by puffs of buttery onion soubise, aerated by an iSi siphon. A tousle of dehydrated and shaved bacon adorns an open-face sandwich of heirloom tom atoes and basil on sourdough: a B.L.T., of course. Sunflower sprouts make u p for the missing crunch. \nOther classics are updated rather than u pended: popcorn dusted with garlic, cumin and brewers yeast, which evokes c heese; snappy pickles fermented with gochugaru, Korean red chile powder; po rk ribs glazed with more gochujang, teasing the sweet-salty border without straying too far in either direction. \nOnion rings, battered with Y uengling beer and tapioca flour, are fried, then frozen (a theatrical waite r boasted that they had been brought to negative 60 degrees) and fried agai n. They arrive nicely sturdy, the sole purpose of their existence to ferry the narcotic-like condiments, burned scallions cut with jalapeos and mayonn aise with the sting of preserved lime. \nThe substantial burger (whi ch the menu modestly refrains from telling you is made with grass-fed, orga nic-grain-finished beef) is abetted by what may be the finest version of Ta ter Tots in town, the grated potatoes cooked until just underdone and then crisped with Wondra flour. \nEverything here goes to 11, one diner m arveled. Duck breaded and fried like chicken is brazen and irresistible, de spite the oversweet accompanying waffle, a spongy slab of brioche dredged i n custard, like French toast. Even broccoli turns wanton, flung with sliver s of duck bacon and pickled watermelon rind in a fish sauce vinaigrette, wi th (wait for it) a dollop of duck fat. \nBut liver pt served with pl umes of baked, dehydrated chicken skin? Now this is confrontational. My mis sion in life is to make skinny girls fat, Mr. Lyons told my table. He got a laugh, but the cracklings were abandoned after one bite. \nThe only logical end to such a meal is smores deconstructed, as is the fashion, wi th a hickory-smoked graham-flour cake, a torched smear of marshmallow fluff , dark chocolate pudding and graham crackers broken on top. It is obvious a nd no less pleasurable for it. (Kari Rak, previously at Bouchon Bakery, wil l introduce a new dessert menu this month.) \nOr take a shot of moon shine, with an apricot shrub as a chaser. It edges everything in halos and can make you believe that a modern American public house, whatever that is, is where you want to be. \nDistilled \n211 West Broadway (Franklin Street);<PHONE_NUMBER>; distilledny.com. \nRecommended B.L.T.; chil led charred broccoli; porgy; burger; wings; country fried duck and waffles; pork ribs; smores. \nPrices \$5 to \$29. \nOpen Nightly for dinner, Saturday and Sunday for brunch. \nReservations Accepted. \nWheelchair access Entrance is up a short flight of stairs from the si dewalk. Restrooms have handrails. \n\n\n\n \n\n\n\n"
Another way to do this would be to use the core Julia functions to load text. We can push strings into an iterable data structure.
slist = String[] for fname in fnames s = open(fname) do file # read the contents of a file all at once read(file, String) end push!(slist, s) end
metadata for our document can be accesed as a property of the FileDocument instance
a = fds[1]; a.metadata
TextAnalysis.DocumentMetadata(Languages.English(), "data/5233240838f0d8062f ddf624.txt", "Unknown Author", "Unknown Time")
Next we will be removing stop words and tokenizing the document. Tokens are individual words split on whitespace. Stop words are high frequency words that we want to filter out. These words often have low lexical meaning and they don't help distinguish one text from another. Below I've created my_prepare which takes care of preparation tasks such as stripping punctuation, articles, pronouns, numbers and non-letters. This also removes stopwords. and stems the document which removes morphological affixes to the words leaving only the stem.
using WordTokenizers using Languages set_tokenizer(WordTokenizers.nltk_word_tokenize) STOPWORDS = stopwords(Languages.English());
""" my_prepare(text) Returns prepared text string """ function my_prepare(text) sd = StringDocument(text) prepare!(sd, strip_punctuation | strip_articles | strip_pronouns | strip_numbers | strip_non_letters) remove_words!(sd, STOPWORDS) stem!(sd) remove_case!(sd) return sd.text end
Main.WeaveSandBox0.my_prepare
my_prepare(text(fds[1]))
"hey phone are come tonight it moment realiz call distil confirm dinner res erv yes repli cool sound meant distil june corner franklin street west broa dway tribeca former home drew niepor layla centrico the belli dancer frozen margarita machin gone effervesc remain so mr niepor hover background guru distil owner time restaurateur nick iovacchini shane lyon chef the space bl and handsom dark wood charcoal banquett breathless ceil quasi mediev wheel chandeli crown fire one devot bar drink benjamin wood ladi killer eleg knif e twist occasion mope rock shimmer speaker servic confound friend coddl whe n stood outsid read post menu hurri step hand copi wouldnt crane neck on ar riv departur host leapt door the mission statement preced meal we modern am erican public hous waiter inton unnecessari slight coy mr lyonss ambit yes wing menu jack gochujang korean ferment soybean chile past borrow larder mo mofuku noodl bar mr lyon there occasion technic flourish watermelon cube cr yovac intensifi flavor mushroom surround puff butteri onion soubis aerat is i siphon a tousl dehydr shave bacon adorn sandwich heirloom tomato basil so urdough b l t cours sunflow sprout miss crunch other classic updat upend po pcorn dust garlic cumin brewer yeast evok chees snappi pickl ferment gochug aru korean red chile powder pork rib glaze gochujang teas sweet salti borde r stray direct onion ring batter yuengl beer tapioca flour fri frozen theat ric waiter boast brought negat degre fri they arriv nice sturdi sole purpos exist ferri narcot condiment burn scallion cut jalapeo mayonnais sting pre serv lime the substanti burger menu modest refrain tell grass fed organ gra in finish beef abet finest version tater tot town grate potato cook underdo n crisp wondra flour everyth goe diner marvel duck bread fri chicken brazen irresist despit oversweet accompani waffl spongi slab brioch dredg custard french toast even broccoli wanton flung sliver duck bacon pickl watermelon rind fish sauc vinaigrett wait dollop duck fat but liver pt serv plume bak e dehydr chicken skin now confront my mission life skinni girl fat mr lyon told tabl he laugh crackl abandon bite the logic meal smore deconstruct fas hion hickori smoke graham flour cake torch smear marshmallow fluff dark cho col pud graham cracker broken top it obvious pleasur kari rak previous bouc hon bakeri introduc dessert menu month or shot moonshin apricot shrub chase r it edg halo believ modern american public hous whatev distil west broadwa y franklin street distilledni com recommend b l t chill char broccoli porgi burger wing countri fri duck waffl pork rib smore price open night dinner saturday sunday brunch reserv accept wheelchair access entranc short flight stair sidewalk restroom handrail"
Using the TextAnalysis package we will create a DirectoryCorpus to use when constructing counts over the whole corpus. A text corpus is a large body of text.
crps = DirectoryCorpus("data"); pop!(crps) # remove last item because this is our section_names.csv document
TextAnalysis.FileDocument("/Users/gmacmillan/projects/Case_study/julia_nlp_ case_study/data/section_names.csv", TextAnalysis.DocumentMetadata(Languages .English(), "/Users/gmacmillan/projects/Case_study/julia_nlp_case_study/dat a/section_names.csv", "Unknown Author", "Unknown Time"))
We can use the standardize inplace function to make sure all the documents in our corpus are standardized to the StringDocument type.
standardize!(crps, StringDocument)
I use some of the preparation steps from my_preparation function above but applied to the entire corpus. These work in-place.
remove_case!(crps) prepare!(crps, strip_punctuation | strip_articles | strip_pronouns | strip_numbers | strip_non_letters) remove_words!(crps, STOPWORDS) stem!(crps)
A lexicon is what is going to keep track of the words and the counts associated with each word. The is in the form of a dictionary. Update the lexicon with the convenience function provided by TextAnalysis.
update_lexicon!(crps)
lexicon(crps)
Dict{String,Int64} with 22718 entries: "nuhu" => 1 "ironwe" => 1 "wintri" => 2 "flatb" => 1 "economix" => 2 "curv" => 21 "skylight" => 4 "unoffici" => 5 "touchpad" => 1 "bidder" => 4 "whiz" => 3 "beckett" => 5 "brandt" => 5 "apiec" => 4 "il" => 3 "msnbc" => 3 "archiv" => 25 "overdos" => 2 "ankl" => 26 ⋮ => ⋮
If we wish to have a reverse lookup for each word with row index for the document/s in which it appears, we need to create an inverse index. Fortunately, TextAnalysis makes this easy for us.
update_inverse_index!(crps)
inverse_index(crps)
Dict{String,Array{Int64,1}} with 22718 entries: "nuhu" => [603] "ironwe" => [630] "wintri" => [159, 583] "flatb" => [744] "economix" => [611, 809] "curv" => [23, 47, 51, 272, 284, 422, 493, 522, 559, 575, 584, 599, 6 13, … "skylight" => [360, 376, 530, 634] "unoffici" => [24, 123, 281, 719, 999] "touchpad" => [757] "bidder" => [104, 235, 881] "whiz" => [51, 321, 857] "beckett" => [397, 601, 701, 750, 992] "brandt" => [91, 493, 706, 800, 916] "apiec" => [328, 773, 816, 869] "il" => [234, 833, 939] "msnbc" => [89, 107, 746] "archiv" => [203, 243, 245, 368, 549, 560, 599, 676, 716, 826, 833, 878 , 88… "overdos" => [639, 758] "ankl" => [147, 158, 168, 241, 266, 375, 393, 408, 447, 462, 572, 662 , 72… ⋮ => ⋮
m = DocumentTermMatrix(crps);
The DocumentTermMatrix is a struct with properties containing the components necessary to create a term frequency inverse document frequency (tfidf) matrix for the corpus. This will be applied in later procedures involving information retrieval or sentiment analysis.
The document term matrix is stored in a data structure called SparseMatrixCSC. Sparse matrices are distinct from dense matrices in that the only values stores are non-zero values. In julia, zero values can be stored but only manually. Sparse matrices are common in machine learning, such as in data that contains counts and data encodings that map values to n dimensional arrays, because these computationally efficient data structures can elicit performance gains when used by algorithms meant to take advantage of sparsity.
The inverse index also provides us with a count of the number of documents each word appears in. This is known as document frequencies.
To obtain the tfidf matrix we will simply use the function below applied to the document term matrix.
tfidf = tf_idf(m);
What if we want to do all of the above manually?
Create the bag of words (bow), a set of words unique over the corpus. A set is a good datatype for this since it doesn't allow duplicates. At the end you'll want to convert it to a list so that we can deal with our words in a consistent order.
cleaned_docs = [] bow = Set{String}(); for doc in fds cleaned = tokenize(my_prepare((text(doc)))) union!(bow, Set(cleaned)) push!(cleaned_docs, cleaned) end filter!(!isempty, cleaned_docs);
Create a reverse lookup for the vocab list. This is a dictionary whose keys are the words and values are the indices of the words (the word id). This will make things much faster than using the list index function.
indexer = Dict{String,Int64}() for (i, word) in enumerate(bow) indexer[word] = i end
Create a word count matrix. This is an array data type where each row corresponds to a document and each column a word. The value should be the count of the number of times that word appeared in that document.
num_docs = length(fds) num_words = length(indexer);
counts = zeros((num_docs, num_words));
for (idx, doc) in enumerate(cleaned_docs) C = Dict{String,Int64}() for word in doc C[word] = get(C, word, 0) + 1 end for (word, count) in C counts[idx, indexer[word]] = count end end
Create the document frequencies. For each word, get a count of the number of documents the word appears in. This is different from the total number of times the word appears.
df = sum(counts, dims=1);
Normalize the word count matrix to get the term frequencies. This means dividing each term frequency by the l2 (euclidean) norm. This makes each document vector has a length of 1.
# document_frequencies tf_norm = sqrt.(sum(counts .^ 2, dims=2)); tf_norm[tf_norm .== 0] .= 1; tfs = counts ./ tf_norm;
Multiply the term frequency matrix by the log of the inverse of the document frequencies to get the tf-idf matrix. We add one to the denominator to avoid dividing by 0.
idf = log.((num_docs + 1) ./ (1 .+ df)) .+ 1; tfidf_m = tfs .* idf;
Normalize the tf-idf matrix as well by dividing by the l2 norm.
tfidf_norm = sqrt.(sum(tfidf_m .^ 2, dims=2)); tfidf_norm[tfidf_norm .== 0] .= 1; tfidf_m ./= tfidf_norm;
TODO: Fix numbering information for the above steps. The numbers show up as all 1's in github
The tfidf approach is common for understanding relative term importances in a document. It is a classic way to encode documents so that arbitrary queries, different forms of clustering and document classification tasks can now be executed. We have a vector space model as the representation of a set of documents. Queries can now be viewed in the same space as the document collection in order to allow for information retrieval.
One way to do scoring of the distance between vectors is by similarity score. Cosine similarity quantifies how much two multidimensional vectors point in the same direction on a scale from 1 (pointing in the same direction) to -1 (pointing in opposite directions). A cosine similarity of 0 means that the vectors are orthogonal. I use the Distances.jl library to calculate this.
using Distances
""" readlines_remove_leading_whitespace(doc) Returns an array of strings without leading whitespace lines """ function my_readlines(doc_title) lines = readlines(doc_title) i = 1 while true if length(strip(lines[i])) !== 0 break end i += 1 end return lines[i:lastindex(lines)] end ix_A = 1; doc_A = tfidf[ix_A, :] ix_B = 589 ; doc_B = tfidf[ix_B, :] println("\ndocument A: ")
document A:
println.(my_readlines(crps[ix_A].metadata.title)[1:5]) # print just 5 lines
Hey, the man on the phone said. Are you still coming tonight? It took a moment for me to realize that he was calling from Distilled to co nfirm my dinner reservation. Yes, I replied. Cool, he said, and sounded as if he meant it.
println("\ndocument B: ")
document B:
println.(my_readlines(crps[ix_B].metadata.title)[1:5]) # print just 5 lines
The last time we tasted mencas from Bierzo, Spain, my recipe included rosem ary, the wines dominant herbal note. Consistency may be someone elses hobgo blin, but its nice to see it in wines; there was that rosemary again. Pairings often welcome contrasts, but this time I picked up the flavors and aromas of the wine and tossed them into the pan. Green peppers, a hit of c hile, olives and a beefy smoke. All have been incorporated in this dish.
println("\nCosine Similarity of documents A & B: ")
Cosine Similarity of documents A & B:
1 - evaluate(CosineDist(), doc_A, doc_B)
0.028020811811042434
If we want to compute the pairwise distance between all documents simultaneously, we can do that using the pairwise function from Distances.jl.
r = zeros((num_docs, num_docs)); @time pairwise!(r, CosineDist(), transpose(tfidf), dims=2);
27.148998 seconds (2.52 M allocations: 110.984 MiB, 0.49% gc time)
println("Similarity measure pairwise: ")
Similarity measure pairwise:
1 .- r
999×999 Array{Float64,2}: 1.0 0.0207873 0.0153 … 0.00754566 0.0156072 0.00758319 0.0207873 1.0 0.0136661 0.0189835 0.0316948 0.0200642 0.0153 0.0136661 1.0 0.018636 0.0193947 0.0231317 0.047558 0.050975 0.0118592 0.0125809 0.0156882 0.0181751 0.0895226 0.0314027 0.0172356 0.00877987 0.016188 0.00906719 0.0627999 0.00912273 0.00434174 … 0.0244229 0.00867607 0.0144011 0.0113251 0.00990173 0.0127414 0.0132327 0.037472 0.0323638 0.0131596 0.0066572 0.0140031 0.0192138 0.0185132 0.0222539 0.00620686 0.0139168 0.00896439 0.35506 0.0228831 0.0416952 0.00730156 0.0116336 0.0103688 0.0137953 0.0483865 0.0080328 ⋮ ⋱ 0.0110392 0.00678634 0.00443852 … 0.0317835 0.0223228 0.0220557 0.0185624 0.0143821 0.014936 0.0112221 0.0321573 0.0177684 0.00954421 0.00613039 0.0112613 0.0266921 0.00133801 0.0369548 0.0151518 0.00557817 0.0166722 0.0127879 0.00899566 0.0288063 0.00818376 0.00588771 0.0102004 0.0153659 0.0416719 0.0120247 0.00384303 0.00421517 0.00990962 … 0.0150054 0.00692421 0.0363021 0.00754566 0.0189835 0.018636 1.0 0.0309683 0.0790843 0.0156072 0.0316948 0.0193947 0.0309683 1.0 0.0392533 0.00758319 0.0200642 0.0231317 0.0790843 0.0392533 1.0
Given a corpus of documents, related to each other or not, we can use the tfidf score to rank words in order of importance to the text. We can also just use the word frequencies by passing in the term frequency sparse matrix instead.
""" Returns top n tfidf values in row and return them with their corresponding feature names """ function get_top_tfidf_feats(row, features, top_n::Int64=10) if length(row) > top_n top_idxs = sortperm(row, rev=true)[1:top_n] else top_idxs = sortperm(row, rev=true) end return [(features[i], row[i]) for i in top_idxs] end
Main.WeaveSandBox0.get_top_tfidf_feats
""" Returns top tfidf features in specific document (matrix row) """ function get_top_feats_in_doc(X_sparse, features, row_id::Int64, top_n::Int64=10) get_top_tfidf_feats(X_sparse[row_id, :], features, top_n) end
Main.WeaveSandBox0.get_top_feats_in_doc
feature_array = collect(keys(crps.lexicon));
# top 10 words for document 23 get_top_feats_in_doc(tfidf, feature_array, 23)
10-element Array{Tuple{String,Float64},1}: ("carr", 0.0837980511755615) ("wayward", 0.067933919942415) ("paperback", 0.055194433110973204) ("laboratorio", 0.05197697721460046) ("rein", 0.051330724026278404) ("strength", 0.04892547199630457) ("longitudin", 0.04666726201789564) ("make", 0.04400478467419274) ("wrink", 0.04198383512222033) ("pari", 0.03963874160568814)
using StatsBase # import StatsBase to use the mean function """ Returns the top n features that on average are most important amongst documents in rows indentified by indices in grp_ids """ function get_top_mean_feats(X_sparse, features, grp_ids=nothing, top_n::Int64=10) if isnothing(grp_ids) D = X_sparse else D = X_sparse[grp_ids, :] end tfidf_means = vec(mean(D, dims=1)) return get_top_tfidf_feats(tfidf_means, features, top_n) end
Main.WeaveSandBox0.get_top_mean_feats
get_top_mean_feats(tfidf, feature_array)
10-element Array{Tuple{String,Float64},1}: ("unfulfil", 0.004298837611037763) ("earthflight", 0.003694854911730176) ("paperback", 0.0036727650633894353) ("rebound", 0.0035198602372548795) ("lama", 0.003464234955213334) ("uneas", 0.003222486091908161) ("scholar", 0.0031950129131286284) ("schonberg", 0.003039835421215477) ("zz", 0.003027595424161008) ("dire", 0.0029909884549977864)
So far we’ve only considered words as individual units, and considered their relationships to the larger corpus of documents. Many interesting features can be found by performing text analyses based on the relationships between words and examining which words tend to follow others immediately, or that tend to co-occur within the same documents.
Lets say we want to confirm our hypothesis that documents from different New York Times news sections have different combinations of words. I use JuliaDB to load data from section_names.csv and combine this data with our texts. I then create different corpora used for finding top bigram features.
using JuliaDB
col_names = ["id", "section"] sections_table = loadtable("data/section_names.csv"; header_exists=false, colnames=col_names); # reindex has inplace function sections_table = reindex(sections_table, :id);
# create a mask for just the text in the book section msk_books = select(sections_table, :section => x -> x == "Books" );
bi_grams = NGramDocument.(text.(crps), 2);
bi_gram_crps = Corpus(bi_grams) update_lexicon!(bi_gram_crps) # update our bigram lexicon
tfidf2 = tf_idf(DocumentTermMatrix(bi_gram_crps)); feature_array2 = collect(keys(bi_gram_crps.lexicon));
# "10 most important words by mean tfidf score in Books sections: " get_top_mean_feats(tfidf2, feature_array2, findall(!!, msk_books), 20)
20-element Array{Tuple{String,Float64},1}: ("approv keyston", 0.012769003009089008) ("dan mccabe", 0.009084626784167946) ("nw washington", 0.008826231299062898) ("lemon garnish", 0.006859985948229485) ("colleg game", 0.006457915014267387) ("book regain", 0.005745935812141618) ("list rentbro", 0.005745935812141618) ("ban agenc", 0.005617242437875209) ("honey", 0.004994429413701268) ("historian name", 0.004977841281908868) ("art park", 0.004830438541265002) ("greav", 0.004380921925796904) ("miss proposit", 0.004340074866415672) ("justin bieber", 0.004302304441744708) ("jasper tex", 0.004211579209546832) ("attend colleg", 0.004065387616803975) ("prison serv", 0.00390747355666676) ("wipe entir", 0.003862566285592531) ("design elicit", 0.0037377902666676363) ("wife peopl", 0.003494950648622221)
msk_sports = select(sections_table, :section => x -> x == "Sports" );
# "10 most important words by mean tfidf score in Sports sections: " get_top_mean_feats(tfidf2, feature_array2, findall(!!, msk_sports), 20) # !! is a double negator
20-element Array{Tuple{String,Float64},1}: ("economist depart", 0.011148866380634209) ("tablespoon chinkiang", 0.008779464262457137) ("concert half", 0.008471186667189075) ("lead downtown", 0.007550361586371777) ("suppos braini", 0.006811770657058267) ("hop guest", 0.006192600712560494) ("judg ive", 0.005836589364014666) ("afghan relat", 0.005685508385988465) ("bootsi collin", 0.005682484391653045) ("scene depriv", 0.00536856407437897) ("five card", 0.005312194038379561) ("plan improv", 0.004952347354472934) ("accolad", 0.00478566813792554) ("wine vegan", 0.004778521884857718) ("receiv call", 0.004675518934544374) ("watch liriano", 0.004577184649360663) ("support republ", 0.0045527193515291125) ("mystic invent", 0.004533042470476335) ("seddiqi disput", 0.004482410268596228) ("bronx identifi", 0.0041501025347195665)
queries_text = readlines("queries.txt");
q_crps = Corpus(StringDocument.(my_prepare.(queries_text))); q_tfidf = tf_idf(dtm(DocumentTermMatrix(q_crps, crps.lexicon)));
function print_result(crps, row_id::Int64, num_lines::Int64=5) println("\n") println.(my_readlines(crps[row_id].metadata.title)[1:num_lines]) println("...\n") return end
print_result (generic function with 2 methods)
function get_similar_documents(x, top_n::Int64=3) arr = [] for i in 1:tfidf.m relevance = 1 - evaluate(CosineDist(), tfidf[i,:], x) push!(arr, relevance) end filter!(!isnan, arr); l = lastindex(sortperm(arr)) print("\nsearch results:\n ") [print_result(crps, sortperm(arr)[i]) for i in l - top_n:l]; end
get_similar_documents (generic function with 2 methods)
function search(query_idx, top_n::Int64=3) print("\nquery\n: ") print(queries_text[query_idx]) get_similar_documents(q_tfidf[query_idx, :], top_n) return end
search (generic function with 2 methods)
search(7)
query : Watching the Game of Thrones contingent take their final (and somewhat co mplicated) bow this weekend at Comic-Con International I found myself wonde ring: Will we ever see the likes of the HBO hit series again? Fans will con tinue to debate the creative choices made in the finale season but the over all accomplishment of David Benioff & D.B. Weiss and their writing staff wa s truly staggering. They not only delivered the most stirring fantasy epic since Peter Jackson’s The Lord of The Rings they did it on a weekly basis a nd with nuances that made the sword-and-sorcery show a must-see favorite ev en among non-fantasy fans. search results: AMC wants more Dead and who could be surprised? The Walking Dead, the top show in television among the advertiser-preferred group of viewers between the ages of 18 and 49 is going to get what AMC is calling a companion series, with an expected airdate sometime in 2015. The network announced on Monday that Robert Kirkman, who wrote the comic bo ok series that inspired the television show, will develop the new version, which is still untitled. It will, fans will be happy to note, feature zombi es. In a statement, Mr. Kirkman said, The opportunity to make a show that isnt tethered by the events of the comic book, and is truly a blank page, has se t my creativity racing. Other members of the Walking Dead creative team, including the producers Ga le Anne Hurd and David Alpert, will be involved in the new effort as well. ... When the Mets moved into Citi Field five years ago, they were also, as it t urned out, settling into fourth place in the National League East and makin g themselves comfortable. If their season ended Friday, they would finish i n that very undistinguished spot for the fifth straight season. It would be a franchise record, dubious as it might seem, for never in their uphill hi story have they ended up staying in the same place for so long. Even in the 1960s, when the Mets made a name for themselves as one of the w orst teams in baseball history, they finished 10th, and last, only in their first four years of existence. In the fifth year, 1966, they finished next to last, in ninth. In baseballs current division format, fourth is the new ninth, a home for t eams that are usually overmatched and not going anywhere in particular. Tha t certainly describes the current Mets, who have now been in fourth place l ong enough to buy a new recliner, hang up some pictures and get to know the neighbors (hello, Miami Marlins). ... FLORHAM PARK, N.J. When Rex Ryan was hired to coach the Jets in 2009, he i nsisted on running effectively, a philosophy that he captured in the catchp hrase ground and pound. Even as the Jets develop Geno Smith, a rookie quart erback who understandably lacks polish, that is no longer Ryans mantra. Do I expect us to run more than pass? Not really, Ryan said after Thursdays practice. Id like to be close to balanced. I think thats where weve been t he first couple of games. So I think thats pretty good. The Jets, who will host the Buffalo Bills on Sunday in a meeting of A.F.C. East teams with 1-1 records, have attempted 74 passes and 61 rushes. Smith dropped back 42 times in a 13-10 loss at the New England Patriots on Sept. 12 in a game that raised questions about how committed Marty Mornhinweg, th e new offensive coordinator, would be to the run. The Jets backed off the g round game despite rushing 32 times for 129 yards; Smith threw three interc eptions in the fourth quarter. ... Several times in Rush, Ron Howards excitingly t orqued movie set in the Formula One race world, the camera gets so close to a drivers eye that you can see each trembling lash. Its a startlingly beau tiful but also naked image, partly because theres no hiding for an actor wh en the camera gets that close. In moments like these, youre no longer watch ing a performance with its layers of art and technique: youve crossed the b order between fiction and documentary to go eye to eye with another persons nervous system. Mr.  Specifically, he wants to get inside those of J ames Hunt (Chris Hemsworth) and Niki Lauda (Daniel Brhl), Formula One titan s and rivals, who, in 1976, helped push the sport into mainstream conscious ness. (Well, at least in much of the rest of the world: Formula One has lon g struggled in the United States.) In 1976, when both men were in their lat e 20s, they raced after each other while chasing the world championship ove r wet, dry and terrifyingly gnarly tracks. Tucked, very much alone, into op en-wheel machines that could easily have become coffins, Hunt and Lauda cut corners and grazed death lap after lap whooshing over racetracks, city st reets and deceptively pastoral roads into the sort of sports legend that tr anslates only occasionally into good cinema. ...
My notebook showed a text analysis approach that is useful for exploring the relationships and connections between words. Relationships involving n-grams, which help to see what words tend to appear after others, or co-occurences can help us find which terms are most important to a document. It is my aim to convey that Julia, as a tool for text analysis, is just as flexible as Python and that it will play an important role in the work data scientists do moving forward.


R interface to the wdm C++ library, which provides efficient implementations of weighted dependence measures and related independence tests:
All measures are computed in O(n log n) time, where n is the number of observations.
For a detailed description of the functionality, see the API documentation.
install.packages("wdm")
This repo contains wdm as a submodule. For a full clone use
git clone --recurse-submodules <repo-address>
library(wdm)
x <- matrix(rnorm(100 * 3), 100, 3) wdm(x, method = "spearman") # unweighted #> [,1] [,2] [,3] #> [1,] 1.0000000 -0.23383138 -0.05200120 #> [2,] -0.2338314 1.00000000 -0.03560756 #> [3,] -0.0520012 -0.03560756 1.00000000 wdm(x, method = "spearman", weights = w) # weighted #> [,1] [,2] [,3] #> [1,] 1.0000000 -0.13603502 -0.12951931 #> [2,] -0.1360350 1.00000000 -0.07473239 #> [3,] -0.1295193 -0.07473239 1.00000000
x <- rnorm(100) y <- rpois(100, 1) # all but Hoeffding's D can handle ties w <- runif(100) indep_test(x, y, method = "kendall") # unweighted #> estimate statistic p_value n_eff method alternative #> 1 -0.05555546 -0.6291182 0.5292717 100 kendall two-sided indep_test(x, y, method = "kendall", weights = w) # weighted #> estimate statistic p_value n_eff method alternative #> 1 -0.09298105 -0.9139628 0.3607364 75.5839 kendall two-sided


Index
All Classes|All Packages
V
- valueOf(String) - Static method in enum it.polimi.ingsw.model.Cards.DevCardColor
-
Returns the enum constant of this type with the specified name.
- valueOf(String) - Static method in enum it.polimi.ingsw.model.ResourceType
-
Returns the enum constant of this type with the specified name.
- values() - Static method in enum it.polimi.ingsw.model.Cards.DevCardColor
-
Returns an array containing the constants of this enum type, in the order they are declared.
- values() - Static method in enum it.polimi.ingsw.model.ResourceType
-
Returns an array containing the constants of this enum type, in the order they are declared.
- vaticanReport() - Method in class it.polimi.ingsw.model.GameMode.Game
-
Performs a vatican report for each player of the game.
- vaticanReport() - Method in class it.polimi.ingsw.model.GameMode.SinglePlayerGame
- vaticanReport() - Method in interface it.polimi.ingsw.model.LorenzoGameMethods
- vaticanReport() - Method in interface it.polimi.ingsw.model.VaticanReporter
- vaticanReport(int) - Method in class it.polimi.ingsw.model.Board.FaithTrack
-
This method is used to start the vaticanReport corresponding to the one has not occurred yet
- vaticanReport(int) - Method in class it.polimi.ingsw.model.Board.PersonalBoard
- vaticanReport(int) - Method in class it.polimi.ingsw.model.Player
-
This method starts a vatican report
- vaticanReportCounter - Variable in class it.polimi.ingsw.model.GameMode.Game
- VaticanReporter - Interface in it.polimi.ingsw.model
- victoryPoints - Variable in class it.polimi.ingsw.model.Cards.Card
- View - Interface in it.polimi.ingsw.view
-
Is the interface for client-side: all these methods are called from the ClientNetworkHandler after the dispatching of message received from server
- ViewObservable - Class in it.polimi.ingsw.observer
-
Observable class used by VirtualView
- ViewObservable() - Constructor for class it.polimi.ingsw.observer.ViewObservable
- ViewObserver - Interface in it.polimi.ingsw.observer
-
Observer interface used by UserInputManager
- VirtualView - Class in it.polimi.ingsw.networking
-
This class implements the server's VirtualView, used to send messages to the game clients
- VirtualView(int) - Constructor for class it.polimi.ingsw.networking.VirtualView
All Classes|All Packages


{% extends "header.html" %} {% block body %}
In this PyGame and Python programming tutorial video, we cover how to draw shapes with PyGame's built in drawing functionality. We can do things like draw specific pixels, lines, circles, rectangles, and any polygon we want by simply specifying the points to draw between. Let's get started!
import pygame pygame.init() white = (255,255,255) black = (0,0,0) red = (255,0,0) green = (0,255,0) blue = (0,0,255) gameDisplay = pygame.display.set_mode((800,600)) gameDisplay.fill(black)
Typical stuff above, now let's cover what would be used to draw a pixel:
pixAr = pygame.PixelArray(gameDisplay) pixAr[10][20] = green
Alright, so what have we done above? What we're doing is assigning the entire pixel array to a value, referencing it using pygame.PixelArray. So what this function does is it returns the pixel array of the specified surface (which is the entire display in our case). Then, we're able to modify it. So, we specify pixAr[10][20], which means the pixel residing at (10,20), then we're able to re-assign it. In our case, we call it green.
pygame.draw.line(gameDisplay, blue, (100,200), (300,450),5)
Drawing lines, above, is easy enough. The function just asks where do we want to draw it, what color do we want it, and then we specify the two coordinate pairs that we want to draw a line between.
pygame.draw.rect(gameDisplay, red, (400,400,50,25))
We've already extensively covered the drawing of rectangles in this series, but this specific "drawing things" tutorial wouldn't be complete without it. This function asks where to draw, what color, and then asks for a final tuple that contains: the top right x and y, followed by width, then height.
pygame.draw.circle(gameDisplay, white, (150,150), 75)
Here we draw a circle. This function asks where to draw, what color, what is the center point of the circle, and what is the radius. There is another parameter that you can add which is width.
pygame.draw.polygon(gameDisplay, green, ((25,75),(76,125),(250,375),(400,25),(60,540)))
Finally, we have polygons. This function asks where to draw, what color, and then asks for a long tuple, of tuples, containing the points of the polygon.
Now for some canned stuff to make our game actually run:
(if you don't understand this, revisit some of the earlier tutorials..)
while True: for event in pygame.event.get(): if event.type == pygame.QUIT: pygame.quit() quit() pygame.display.update()
There are a few other drawing functions, though these are the ones that I find myself actually using. You can find more in the PyGame documentation. I may also cover some of the others later on.


Hi, I'm Dean Davidson.
I'm a visual artist living in Bellingham, Washington, with my wife, son, two cats, frogs, and Rosie the tarantula. I specialize in graphic design with brand development, print layout, and motion graphics. As I've worked as a graphic designer, I've taken on the worlds of photo and video. I've had the pleasure of working with clients up and down the West Coast and served as an in-house graphic designer and videographer.


Survey Test Form
Please fill out the following questions.
* Name:
* Email:
* Age:
Please select an option from the dropdown:
Select an option
Student
Full Time Job
Full Time Learner
Prefer not to say
Other
* How do you like this site?
Definitely
Like
Love
Don't Like
What should I add?
(Please select any box:)
Change background color.
Change Font
Add Image
Change form colors
Add Video
Please enter any Comments or Suggestions?
Submit


Stefano Lusardi, Software Developer
The owner is responsible for the management of a given resource (i.e. thread or file handle)
The main problem arises on memory deallocation.
Golden rule:
Don't allocate things on the Heap if you don't have to.
Always prefer *Stack allocations with respect to **Heap allocations.
*Automatic object deallocation occurs going out of scope.
You do not need to take care of that.
**Object deallocation needs to be handled in some ways.
You do must take care of that.
Stack vs. Heap example
Foo foo;
// Stack allocation. No need for manual cleanup.
Foo* foo = new Foo();
// Heap allocation. Needs to be deleted at some point.
...
delete foo;
// Delete operation is required to avoid a Memory Leak
So, why do we need Heap allocations?
Polymorphism and much more.
class Shape { virtual ~Shape() = default;};
class Circle : public Shape { /* ... */ };
class Square : public Shape { /* ... */ };
Shape* circle = new Circle();
Shape* square = new Square();
// ...
delete circle;
delete square;
At some point you must delete explicitly both circle and square objects in order to avoid memory leaks.
A real case scenario
ShapeManager* manager = new ShapeManager();
Point2d* pointA = manager->CreatePoint2d(0, 0);
Point2d* pointB = manager->CreatePoint2d(1, 1);
Segment* segment = manager->CreateSegment(pointA, pointB);
// ... delete?
Who is in charge to call delete on these Heap-allocated objects?
Note that the ownership hierarchy on the previous example is not clear at all:
You must read each class implementation to understand the objects hierarchy.
So, why do we care?
Readability, Testability, Expressivity.Does the modern standards provide any utility for (smart) resource management?
Smart Pointers is the answer to our question.The common idea is that each class provides a wrapper around a pointer to a class T.
All the "Smart Pointer" classes mimic the behavior of a "Raw Pointer" (also providing same syntax)
A great fatures is the so-called "Reference counting" mechanism that allows automatic deallocation of the inner pointer as soon as its last reference gets deleted.
Reference Counting
Roughly speaking it is the number of instances that have a reference to the same object
It is safe to assume that is possible to delete an object when it is no more referenced by any other objects (i.e. it reference count is zero)
Reference Counting
This technique is commonly used in managed languages such as Python, Java and C# in which the memory management is not directly handled by the programmer.
Completely transparent for the user, with nearly zero overhead.
std::unique_ptr
std::unique_ptr examples
#include <memory>
// Ordinary initialization
std::unique_ptr<Shape> smartCircle(new Circle());
// Polymorphic creation using thread-safe helper function
auto smartSquare = std::make_unique<Square>();
// Move assignment
auto smartestSquare = std::move(smartSquare);
std::shared_ptr
std::shared_ptr examples
Square* square = new Square();
{
std::shared_ptr<Square> smartSquare1(square);
}
std::shared_ptr<Square> smartSquare2(square);
// crash! (double delete on square pointer)
auto smartCircle = std::make_shared<Circle>();
Circle* circle = smartCircle.get(); // get the inner pointer
// to be avoided, but legal
std::weak_ptr
std::weak_ptr examples
struct Node{
std::vector<std::shared_ptr<Node>> mChildNodes;
std::weak_ptr<Node> mParentNode;
};
// can hold a pointer to the parent object
// in a tree-like structure avoiding a dangling reference
auto smartSquare = std::make_shared<Square>();
std::weak_ptr<Square> weakSquare;
auto weakSquare = smartSquare; // assign shared_ptr to weak_ptr
auto innerSquare = smartSquare.lock();
// can be converted back to the original shared_ptr
Smart Pointers F.A.Q.
Shall I pass by reference?
Shall I get the internal pointer?
Helper functions std::make_unique, std::make_shared, can't access your class private constructor.
Beware of Ownership Stealing policies.
An lvalue is an object or expression whose address can be taken.
lvalue example
std::string x;
x = "42"s; // x is an lvalue
In fact it is possible both to take its address and to assign a value to it
An rvalue is an unnamed object or expression...
which is not an lvalue.
rvalue example
std::string y;
y = "42"s + "43"s; // the expression: "42"s + "43"s is an rvalue
Another rvalue example
std::string getValue () {
return "Fourty-Two"s;
}
...
std::string s = getValue();
Note that whenever there is an assignment we have a useless copy
So, can't we avoid useless copies and boost performances?
From C++11 it is possible to "use" (or better, "consume") rvalues in order to avoid useless copies.
What does it really means to move an object?
Starting from C++11 the STL introduces std::move(). It is just a static cast to an rvalue refenrece:
It is now possible to convert an lvalue into a temporary object (rvalue) avoiding useless copies
Foo myFoo;
auto myRvalueFoo1 = std::move(myFoo);
auto myRvalueFoo2 = static_cast<Foo&&>(myFoo);
// equivalent definitions
"It's going to die anyway" state of mind.
After you move an object it is going to be in a non-valid state
This is the key to get optimal benefit from move semantics: move all the time you do not need the temporary any longer.lvalue vs. rvalue move example
void foo(int& i) { std::cout << "lvalue"; }
void foo(int&& i) { std::cout << "rvalue"; }
int main(){
int i = 42;
foo(i); // lvalue called
foo(42); // rvalue called
foo(std::move(i)); // rvalue called
return 0;
}
Move Constructor and Move Assignement example
class Foo {
int* value = nullptr;
public:
Foo(Foo&& other) { // Note non-const &&
value = other.value;
other.value = nullptr;
}
Foo& operator=(Foo&& other) {
if(this != &other) { // Prevent self-destruction
if(value) { delete value; }
value = other.value;
other.value = nullptr;
}
return *this;
}
~Foo() {
if(value) { delete value; }
}
};
"Smart" Move Constructor and Move Assignement example
class Foo {
// unique_ptr already embeds move semantics behavior
std::unique_ptr<int> value = nullptr;
public:
Foo(Foo&& other) = default;
Foo& operator=(Foo&& other) = default;
~Foo() = default;
};
Usage example
struct Bar {
Bar(std::unique_ptr<int>& v) : barValue{std::move(v)} { }
std::unique_ptr<int> barValue;
};
int main() {
auto value = std::make_unique<int>(42);
std::cout << *value.get(); // OK
// Now bar has unique ownership of value
auto bar = Bar(value);
// value is in a non-valid state (nullptr)
std::cout << *value.get(); // Crash!
return 0;
}
To avoid such a situation call std::make_unique<int> directly in Bar constructor
Move operations into STL container
std::string str = "Hello"; // std::string defines move operations
std::vector<std::string> stringVector;
stringVector.push_back(str); // Copy here
stringVector.push_back(std::move(str)); // NO copy here
// Now str is empty. Do not use it anymore.
Note that STL provides overloaded functions for its container in order to avoid useless copies
"Smart" move operations into STL container
class Foo {
Foo(int a, std::string b, double c){ /* ... */}
};
std::vector<Foo> fooVector;
fooVector.emplace(42, "Fourty-Two", 4.2); // NO copy here.
// emplace provides in-place construction & push_back operations
Note that emplace creates the object by means of arguments forwarding.


CITY TOURS/TOUR TICKETS/TOUR GUIDES
BLUE TSHIRT
$26
WOMAN SHIRT
$31
YELLOW TSHIRT
$21
COOL LINGERIE
$56


Badge it
Home
Create
FAQ
Tutorial
About
Contact Us
Next
Zip Files
Download Zip
Print to PDF
×
Print to PDF - Settings
Page orientation
Potrait
Landscape
Paper size
A4
A3
Back
Exit
You are awesome!
Thanks for using BadgeIt :D
M
a
k
k
a
r
L
a
b
s
1
2


Hello! As you can probably see, this is no ordinary webserver. It supports POST and keeps track of users and has areas that only users can view. It also imposes limits per hour on how many requests one client can make (set at 18k so don't worry you have plenty). Please look around and see all the snazzy features.


| global stop and warning {pbdMPI} | R Documentation |
These functions are global stop and warning applying on distributed data for all ranks, and are called by experts only. These functions may lead to potential performance degradation and system termination.
comm.stop(..., call. = TRUE, domain = NULL, all.rank = .pbd_env$SPMD.CT$print.all.rank, rank.print = .pbd_env$SPMD.CT$rank.source, comm = .pbd_env$SPMD.CT$comm, mpi.finalize = .pbd_env$SPMD.CT$mpi.finalize, quit = .pbd_env$SPMD.CT$quit) comm.warning(..., call. = TRUE, immediate. = FALSE, domain = NULL, all.rank = .pbd_env$SPMD.CT$print.all.rank, rank.print = .pbd_env$SPMD.CT$rank.source, comm = .pbd_env$SPMD.CT$comm) comm.warnings(..., all.rank = .pbd_env$SPMD.CT$print.all.rank, rank.print = .pbd_env$SPMD.CT$rank.source, comm = .pbd_env$SPMD.CT$comm)
... |
variables to be cat. |
call. |
see stop() and warnings(). |
immediate. |
see stop() and warnings(). |
domain |
see stop() and warnings(). |
all.rank |
if all ranks print (default = FALSE). |
rank.print |
rank for printing if not all ranks print (default = 0). |
comm |
communicator for printing (default = 1). |
mpi.finalize |
if MPI should be shutdown. |
quit |
if quit R when errors happen. |
These functions will respectively apply stop()
, warning()
,
and warnings()
locally.
comm.stop()
terminates all ranks, comm.warning()
returns
messages, and comm.warnings()
print the message.
Wei-Chen Chen<EMAIL_ADDRESS>George Ostrouchov, Drew Schmidt, Pragneshkumar Patel, and Hao Yu.
Programming with Big Data in R Website: http://r-pbd.org/
## Not run: ### Save code in a file "demo.r" and run with 2 processors by ### SHELL> mpiexec -np 2 Rscript demo.r ### Initial. suppressMessages(library(pbdMPI, quietly = TRUE)) init() if(comm.size() != 2){ comm.cat("2 processors are requried.\n", quiet = TRUE) finalize() } ### Examples. comm.warning("test warning.\n") comm.warnings() comm.stop("test stop.\n") ### Finish. finalize() ## End(Not run)


Convey meaning through color with a handful of emphasis utility classes. These may also be applied to links and will darken on hover just like our default link styles.
{{ UserData.Brief }}
| Lv.25 |
| 中国 北京 |
| {{ UserData.brief }} |
| 个性域名： startupthemes |
| {% for tag in UserData.tags %} {{ tag }} {% endfor %} |
Convey meaning through color with a handful of emphasis utility classes. These may also be applied to links and will darken on hover just like our default link styles.


Bio information - this will be a couple paragraphs about myself.
For now a short story
“THE LIBRARY OF BABEL” BY JORGE LUIS BORGES
The world is a library that contains all the books that have ever been written, but most of them are indecipherable. Many people venture to the library to find the meaning of life. It reminded me of Terry Pratchett’s Discworld library.
“Perhaps my old age and fearfulness deceive me, but I suspect that the human species—the unique species—is about to be extinguished, but the Library will endure: illuminated, solitary, infinite, perfectly motionless, equipped with precious volumes, useless, incorruptible, secret.”


--- title: JOHNVOGT Bingo subtitle: You can be a winner, just like JOHNVOGT! layout: page ---
Play JOHNVOGT bingo and never miss another word of JOHNVOGT's insight and wit.


--- title: SPAQu09 type: paper longtitle: Definining a Catalog of Programming Anti-Patterns for Concurrent Java authors: Jeremy S. Bradbury, Kevin Jalbert links: http://faculty.uoit.ca/bradbury, http://kevinjalbert.com year: 2009 month: Oct. pages: pages 6-11 booktitle: Proc. of the 3rd International Workshop on Software Patterns and Quality (SPAQu'09) location: Orlando, Florida, USA ---
Many programming languages, including Java, provide support for concurrency. Although concurrency has many benefits with respect to performance, concurrent software can be problematic to develop and test because of the many different thread interleavings. We propose a comprehensive set of concurrency programming anti-patterns that can be used by Java developers to aid in avoiding many of the known pitfalls associated with concurrent software development. Our concurrency anti-patterns build upon our previous work as well as the work of others in the research community.
@inproceedings{BJ09,
  Author = {Jeremy S. Bradbury and Kevin Jalbert},
  Booktitle = {Proc. of the 3rd International Workshop on Software Patterns and Quality (SPAQu'09)},
  Month = {Oct.},
  Pages = {6-11},
  Title = {Defining a Catalog of Programming Anti-Patterns for Concurrent Java},
  Year = {2009}
}


Registration Form
Name
:
Password
:
Color
:
DOB
:
Price
:
Have you?
: Car
: Bike
Gen
M:
F:
City
Select City...
Pune
Mumbai
Nashik
yghjdfghjsdhjghh


The Hitch Hiker's Guide to the Galaxy has a few things to say on the subject of towels. A towel, it says, is about the most massivelyuseful thing an interstellar hitch hiker can have. Partly it has great practical value - you can wrap it around you for warmth as you bound across the cold moons of Jaglan Beta; you can lie on it on the brilliant marble-sanded beaches of Santraginus V, inhaling the heady sea vapours; you can sleep under it beneath the stars which shine so redly on the desert world of Kakrafoon; use it to sail a mini raft down the slow heavy river Moth; wet it for use in hand-to-hand-combat; wrap it round your head to ward off noxious fumes or to avoid the gaze of the Ravenous Bugblatter Beast of Traal (a mindboggingly stupid animal, it assumes that if you can't see it, it can't see you - daft as a bush, but very ravenous); you can wave your towel in emergencies as a distress signal, and of course dry yourself off with it if it still seems to be clean enough. More importantly, a towel has immense psychological value. For some reason, if a strag (strag: non-hitch hiker) discovers that a hitch hiker has his towel with him, he will automatically assume that he is also in possession of a toothbrush, face flannel, soap, tin of biscuits, flask, compass, map, ball of string, gnat spray, wet weather gear, space suit etc., etc. Furthermore, the strag will then happily lend the hitch hiker any of these or a dozen other items that the hitch hiker might accidentally have "lost". What the strag will think is that any man who can hitch the length and breadth of the galaxy, rough it, slum it, struggle against terrible odds, win through, and still knows where his towel is clearly a man to be reckoned with.


Edit your talk
JavaZone 2023 takes place in Oslo, Norway, on September 6th-7th 2023, plus a day of workshops on the 5th of September, and we are happy that you want to be a part of it. Let's get you started!
Create your talk
Start creating your talk by filling in all the fields below.
January 27th – April 17th - Finish your submission
We receive hundreds of submissions and will therefore be evaluating submissions as they arrive. In other words, submit early to increase your chances of being accepted! Note that you can still update your talk, but please do not rewrite your entire proposal after you have sent it to us.
April 17th - Submission deadline
This is the last day to submit your proposal to the program committee. No new submissions will be accepted after this date! The earlier you submit, the better are your chances for getting accepted at JavaZone.
June 30th - Get feedback
By this day, at the latest, all speakers are informed about whether their talk was selected or not. Fingers crossed!
August 15th - Deadline for refund application
If you are traveling to Oslo without receiving coverage by your employer, you can have your expenses covered by us. In order to plan our budget, we need you to apply for coverage. You will receive information on the process in the email that confirms that your submission was accepted. Please note that only presentation speakers and workshop facilitators are eligible for such coverage.
Title
Name your lightning talk, presentation or workshop in a way that draws attention to your submission while also capturing its content. Many participants will use this title to decide if they even read your abstract, so we recommend you to think a few minutes about this name.
Language
In which language will you be holding the talk? It is permitted to use English in your slides, even though you may be speaking in Norwegian, but you should fill out this form in the language you will speak in. We generally recommend that you hold the talk in the language you are most comfortable with, as we do not favor one language over the other.
Description
Give a concise description of the content and goals of your talk and what audience this presentation or workshop is for. Try not to exceed 300 words, as shorter and more to-the-point descriptions are more likely to be read by participants.
Your participation (not public)
We consider any speaker as a participant of our conference, and we hope that you can stay for both conference days. There is much to see and do during JavaZone, we promise that it will be a good investment of your time! If you cannot participate on both days, please let us know, such that we can consider this when creating the program. To simplify our planning, we can unfortunately not consider time preferences on a given day.
Expected audience
Who should attend this session? How will the participants benefit from attending? What experience (if any) should the audience have to get the most value out of your talk?
Presentation format
In which format are you presenting your talk?
Presentation Length
Please select the length of the presentation (in minutes)
Workshop prerequisites
If your workshop requires participants to make any preparations in advance (create an account at a cloud services provider, install a specific IDE etc.), please specify it.
Suggested keywords
Suggest up to five keywords that describe your talk. Note that we only use these keywords as an orientation and often edit them to better fit into our published program.
Outline (not public)
The information will be used by the Program Committee to review the details of your talk. The outline should be a rough agenda for the talk, with a short description for each section, and with a rough estimate of the time spent on each. Omitting this section will reduce the chances of your submission being accepted.
Equipment (not public)
Please specify any additional special equipment you may need. Note that all get access to WiFi and a projector.
Information for the program commitee (not public)
Please include any information relevant to the program committee that you do not want to include in your public presentation profile. For example, you can give us your motivation for speaking at JavaZone, include links to videos and slides from previous speaker engagements or any other relevant information for choosing your talk.
Info regarding filming of your talk
All talks at JavaZone are filmed, live-streamed and published for free at Vimeo after the conference. Should you have any reservations about this, let the program committee know in the field above. This might affect your chance of getting selected, but if you have a good reason please let us know.
Who are you?
Please give us a little bit of information about yourself. You can also add any additional speakers here. All of you will be shown in the program.
Another speaker ?
Ready?
Submit your talk to the program committe. You can edit the talk later


About Us
Principal Investigators:
Dr. Wisnu Ananta Kusuma
Rudi Heryanto, MSi
System-Integration and Lead Programmer:
Vektor Dewanto
Programmers:
# Webserver:
Haekal Zidni Barkan
Ivan Maulana
# Database:
[Call for programmers]
# Predictor:
Ajmal Kurnia
Muhammad Syahid Pebriadi
Offices:
Tropical Biopharmaca Research Center
Jalan Taman Kencana No.3,
Bogor, Indonesia
Computer Science Department
Bogor Agricultural University (IPB)
Dramaga Campus, Bogor, Indonesia


Encoded Entries
Encoded entries allow for sensitive information such as passwords to be obfuscated.
Encoded entries are denoted with a
For example, the following password is marked for encoding:
The default encoder is {@link oaj.config.encode.ConfigXorEncoder} which is a simple XOR+Base64 encoder.
Custom encoders can be used to provide your own encoding support by implementing the {@link oaj.config.encode.ConfigEncoder} interface.
Encoders are controlled via the following setting:
Encoded values can be set to plain-text values. The curly brackets around the value identify whether the value has been encoded or not.
Unencoded values are encoded when the file is saved using the {@link oaj.config.Config#commit()} method. They can also be encoded immediately by calling {@link oaj.config.Config#encodeEntries()}.


To make the tabs toggleable, add the data-toggle="tab"
attribute to each link.
Then add a .tab-pane
class witha unique ID for every tab and warp them inside a
<div>
element with class .tab-content
.
If you want the tabs to fade in and out when clicking on them, add the .fade
class to the
.tab-pane
:


Do you have account on Deviant Art and want to share your work with every person that comes on your web page? We got solution for that. Simply enter your username when calling this widget.
Instagram is getting more popular every day, so we decided to include this social widget too. Usage is simple. Just enter your username when calling the widget. You can also define how many items you want to show.
You have a google account and love to use Picasa? We like it too, so why not make a social widget of it. If you want to display some other people's images just write their username instead of yours when calling the widget.
Pinterest, one of most popular "social networks" today. You can display pins from your account or someone you follow.
Flickr is by many people the best online photo management service in the world. Almost every Web page today has a flickr photo stream, so we found that very important and included in this template.
Yes, this is a dribbble widget. It is perfect for use in web design or photography blog's. Usage is the same as in the rest of social widgets. Just enter your username when calling the widget and share your work.
You have video file showing your product, or maybe very interesting tutorials? You can include this widget on your page and get the latest videos from your account on youtube.
This is special kind of widget that is showing the latest news from any site that has an RSS feed in shape of an image.