class: center, middle, inverse, title-slide # Lecture 24 ## Machine Learning vs. Econometrics ### Tyler Ransom ### ECON 5253, University of Oklahoma --- # Plan for today - Compare and contrast machine learning and econometrics - Data fallacies --- # Important questions - How we can combine the tools of economic theory, econometrics, and ML to build better empirical economic models? - Answers come from various lectures given by [Susan Athey](https://www.gsb.stanford.edu/faculty-research/faculty/susan-athey), who is an economics professor at Stanford and who is the foremost expert in these matters - A nice podcast on the topic is available [here (11/16/2012 episode)](https://itunes.apple.com/us/podcast/uw-cse-colloquia-university-washington-computer-science/id431501588?mt=2&i=1000124767619) - In what ways do econometrics and machine learning differ? - We've covered some of this in prior discussions this semester, but it helps to lay out exactly what the strengths of limitations of each approach is, so that we know what the comparative advantage is of each - Why is it important to be aware of so-called "data fallacies"? --- # Data Fallacies Before doing that, let's briefly discuss the following Data Fallacies (which I recently came across on [twitter](https://twitter.com/KirkDBorne/status/981390062540808193), full content available [here](https://www.geckoboard.com/learn/data-literacy/statistical-fallacies/#.Ws0BvOgbNmM), download a [PDF](https://www.geckoboard.com/assets/data-fallacies-to-avoid.pdf) of the image below) .center[ <img src="dataLiteracy.jpg" width="294" /> ] Which fallacies is machine learning good at addressing? Which fallacies is econometrics good at addressing? --- # Importance of data - In social science and business settings, we are typically interested in understanding various phenomena * Will changing the layout of our website increase our company's revenue? By how much? * If eBay changes its auction format, will it generate more profit? * If our sports team changes its defensive scheme, will that increase our likelihood of winning the game? - We can try to answer these questions using economic theory - But in many cases theory only predicts a sign, not a magnitude --- # Types of variables There are typically three .hi[types of variables] available to us in any kind of data set: 1. Outcome variable * It is the variable we are trying to explain (sales, revenue, profit, criminal activity, earnings, etc.) 2. Treatment variable * It is a variable that can be changed by a policymaker to affect outcomes (website layout, auction format, play calling, prison sentencing laws, etc.) 3. Control variables * These are variables that explain outcomes, but that cannot be changed by a policymaker (e.g. opponent characteristics, demographic variables, longstanding cultural traditions, etc.) --- # Types of data sets Whether your data set is big or small, there are three main .hi[types of data sets]: 1. Observational data * Data is collected without any attempt to modify the treatment variable. We see the world "as it is." All variation in the treatment variable is non-random 2. Quasi-experimental data * Observational data, but where we observe some additional variables that are randomly (or as-if randomly) assigned, but not by the data collector 3. Experimental data * Data collected where data collector personally manipulates the treatment variable(s). In a *randomized experiment*, units of observation are randomly assigned to various levels of treatment --- # Scarcity of high-quality data How ubiquitous are the three types of data? * .hi[Observational data] is by far the most common type of data. Why? because it's much easier to collect: we simply need to measure the variables we're interested in. And observational data can be used for many different purposes * .hi[Quasi-experimental data] is the next most common type. This is observational data, but restricted to instances where there are some randomly or quasi-randomly assigned variable(s) available * .hi[Experimental data] is least common, simply because it costs money to run an experiment, and typically the experiment is used to analyze a specific question, and can't easily be used to answer other questions --- # Econometrics vs. Machine Learning Now that we have a sense for the various data fallacies and types of data, we can talk about in what ways econometrics and machine learning are fundamentally different, and how the two can be combined to improve the broadly defined goals of data science --- # Goal of econometrics The goal of econometrics is to make counterfactual predictions: - What *would happen* to the price of high-speed internet if Comcast and Time Warner were to be allowed to merge? - What *would happen* to Amazon's profits if it changed its website layout? - What *would happen* to crime rates if prison sentences for all crimes were suddenly reduced? --- # Goal of econometrics (cont'd) - We don't get to observe the world under these alternative policies, so we can't simply find the answers in the data - Knowing the counterfactual requires being able to measure a .hi[causal effect] - In previous lectures we've reduced this to saying "the goal of econometrics is to find `\(\hat{\beta}\)`" where here we mean `\(\hat{\beta}\)` to be the causal impact of `\(X\)` on `\(y\)` - Being able to measure a causal effect requires making assumptions. That's what economics is all about! --- # Ways to measure causal effects - Econometric methods were designed to measure causal effects under varying degrees of difficulty (i.e. measuring causality using experimental data is much easier than measuring it using observational data) - Broadly speaking, there are three different ways to do so: --- # Ways to measure causal effects (cont'd) 1. Field experiments (i.e. collect experimental data) * Causal effects immediately visible due to experimental design 2. "Reduced form" methods using quasi-experimental or observational data * These methods include instrumental variables, regression discontinuity, and difference-in-differences (among others) * The goal is to separate "good" variation (i.e. randomness in the instrument or randomness in the cutoff) from "bad" variation (non-random variation in treatment) 3. Structural models using observational data * Make assumptions (e.g. profit maximization, rational decision-making) * Estimate primitives of an economic model (e.g. preferences, production fn.) * Use the estimated primitives to predict what would happen under a counterfactual scenario --- # Primary statistical concern of econometrics - The primary statistical concern of econometrics is sampling error - In other words, the goal is to quantify the uncertainty around `\(\hat{\beta}\)` due to randomness in the sampling of the population - This is the infamous standard error that econometricians obsess over - One crazy thing about econometrics is that there is no format attention paid to model misspecification error! - The functional form and specification of the model are assumed to be 100% correct, such that the only error that remains is the sampling error - Sampling error is what generates the standard errors that we use in our hypothesis testing --- # Goal of machine learning - In contrast, the goal of machine learning is to come up with the best possible out-of-sample prediction - In previous lectures we referred to this as the primary concern of machine learning being `\(\hat{y}\)` - To get this prediction, a lot of effort is spent on validating many possible models - This is what regularization, cross-validation, and the bias-variance tradeoff are all about - However, if the world changes in a fundamental way, the trained predictive model is no longer useful! --- # Primary statistical concern of machine learning - The primary statistical concern of machine learning is model misspecification error - The goal is to make sure that the best prediction is had by tuning and validating many different kinds of models - This is what cross-validation is all about, and it is what machine learning practitioners obsess about --- # What econometrics and machine learning can learn from each other | Econometrics | Machine Learning | |--------------------------------------------------------------|------------------| | Less emphasis on standard errors, more emphasis on model misspecification and model selection | Find ways to obtain causal estimates from observational data that still predict well out-of-sample | | Do more model validation (e.g. [Delavande and Zafar, 2019](https://www.journals.uchicago.edu/doi/abs/10.1086/701808)) | Figure out how to implement methods like instrumental variables in machine learning models | | Use more types of data | (e.g. better click prediction leveraging quasi-experimental or experimental data) | | Test assumptions that come baked-in to models | | --- # Useful links * Simon Quinn's (U of Oxford) [notes](http://www.simonrquinn.com/teaching/LectureNotesLDV.pdf) on structural econometrics (limited dependent variables)


2.6.2 -- October 2, 2017
- User is created, when not there.
2.6.1 -- June 22, 2017
- [OF-1355] - UserImportExport plugin: import should not fail when optional config is missing.
2.6.0 -- September 27, 2016
- Added option to use XEP-0227 Compliant export and import.
2.5.0 -- October 12, 2015
- [OF-953] - Updated JSP libraries.
- Requires Openfire 3.11.0.
2.4.0 -- Sep 13, 2013
2.3.1 -- July 7, 2012
- [OF-564] - User import/export plugin concatenates group names in export
2.3.0 -- February 2, 2010
- Now requires Openfire 3.7.0.
- Applied Java generics.
- [OF-53] - Replace custom logging implementation with a third party library.
- [OF-78] - Replaced custom Stringprep with LibIDN.
- [OF-349] - Ignore empty groups.
2.2.0 -- April 12, 2007
- Now requires Openfire 3.3.0.
2.1.0 -- Januar 29, 2007
- Added the ability to import user roster data when using a read-only user store such as LDAP or POP3.
- Added the ability to allow user elements in the import file to be in any order.
- Added a check to make sure that the username is valid.
- Removed an unnecessary check when creating roster items.
- Updated UI to match later versions of Openfire.
2.0.4 -- October 06, 2006
- Updated to use compression offered by Openfire 3.1
2.0.3 -- July 10, 2006
- Updated to work with Openfire 3.0.1.
2.0.2 -- December 15, 2005
- Now requires Openfire 2.4.0.
2.0.1 -- November 29, 2005
- Fixed issue where SiteMesh was inserting html in the user export file.
2.0 -- September 1, 2005
- Added the ability to allow users to specify the import and export file locations.
- [JM-369] - Add option to replace old domain with new domain while doing an import.
- Added additional information to the migration section of the readme file.
1.0.1 -- June 30, 2005
- Added the ability to send export data directly to the screen.
- Fixed compatibility issue with Openfire version 2.1.4 and 2.1.5.
- Refactored the code that creates the output directory to try and alleviate permission issues on Unix installations.
1.0 -- June 1, 2005


Domain Name System (DNS)
The Domain Name System is the address book for the internet. Humans enter an easy-to-remember domain name, and the DNS returns the computer-friendly IP Address. DNS is managed and coordinated by ICANN.
Domain Name System Example
Let's imagine David Lightman wants to view a webpage hosted by the server WOPR. Here's how that happens:
- David Lightman types WOPR into his browser.
- If he is using a modern web browser it will check its built in cache. If the IP Address for WOPR is found then the process is complete.
- If the browser came up empty, the next cache checked is the operating system.
- If the operating system also comes up empty, it will perform a DNS query on a Recursive DNS Server. Recursive DNS Servers are typically managed by an Internet Service Provider (ISP).
- The Recursive DNS Server first checks its local cache for the IP Address.
- If it does not have it cached, it will make a series of queries on David's PC's behalf to locate the Authoritative DNS Server that does have the IP address. This prevents David's PC from having to keep track of hundreds of thousands of Authoritative DNS Servers itself.
- Once the IP address is known, it is sent back to David's PC. The IP Address is also cached by the Recursive DNS Server, David's PC's operating system, and David's PC's web browser.
- David can now play a nice game of chess.
Why do we use it?
IP Addresses are hard to remember - they're just a string of numbers. Domain names on the other hand are mnemonic devices that easily identify a company, group, person, etc. Domain names are registered through any one of a number of ICANN accredited domain name registrars.


Upload a template from Excel / CSV (tab separated)
Template name to import to
Copy paste Excel sheet into this field


{% extends "snorna/base.html" %} {% load staticfiles %} {% block title %}{{ title }}{% endblock %} {% block content %}
The SNORic refers to "snoRNA in cancers". Small nucleolar RNAs (snoRNAs) are a class of regulatory non-coding RNAs, which play a conserved role in ribosome biogenesis. However, in recent years, increasing evidence has demonstrated that snoRNAs play important roles in tumorigenesis. Here, we systematically analyzed snoRNA expression profiles in > 10,000 samples across 31 cancer types from The Cancer Genome Atlas, and analyzed their correlation with other TCGA genomic, proteomic, epigenomic and clinical data (e.g. patient tumor stage, subtype, and survival).


About: Web Designer / UI.
Current Training: Masters in Global Software Development at Hochcschule Fulda, Germany
Studies: Bsc in Computer Science From Ajayi Crowther University.
Experience: Over two years experience in Web application development
Hobbies: Read, out with friends, listen to music, and learn new things.
Skills:
Followers
Followers
Official


--- layout: post title: led climate dress monitors greenhouse gases date: '2010-01-09T11:12:07+00:00' tags: [] tumblr_url: http://backlog.robbevan.com/post/324950408/led-climate-dress-monitors-greenhouse-gases ---
LED “climate” dress monitors greenhouse gases


Constructor
# new MainProvider(children)
This is the main global context about the application.
Responsible for holding and editing the contacts list.
Parameters:
| Name | Type | Description |
|---|---|---|
children |
JSX.Element | JSX.Element |
JSX.Element Application's main context.
Methods
# static addContact(contact)
This method is used to add a new contact to the contacts list.
Parameters:
| Name | Type | Description |
|---|---|---|
contact |
null
# static createContext()
Hook used to initialize the context.
# static editContact(id, info)
Method used to edit an existing contact selecting it by the id.
Parameters:
| Name | Type | Description |
|---|---|---|
id |
number Unique id of the contact | |
info |
ContactProps Whole modified contact information. |
null
# static removeContact(id)
Method used to remove a contact by the list of contact selecting it by the id.
Parameters:
| Name | Type | Description |
|---|---|---|
id |
null


Sign up to download the prototype!
This is a free demo of the vertical slice of Kandria. It presents an overview of the core gameplay loops, artstyle, and overall feel of the game. Keep in mind though that many of the aspects will change until the game is released.
Content Warning: the game contains swears and depictions of violence and discrimination.
If you don't get a mail with the download within a few minutes, don't hesitate to contact me at<EMAIL_ADDRESS>and I'll make sure you get it.
This will also subscribe you to the newsletter, but you can unsubscribe from that at any time.


Last updated: 2021-06-25
Checks: 2 0
Knit directory: smash-paper/analysis/
This reproducible R Markdown analysis was created with workflowr (version 1.6.2). The Checks tab describes the reproducibility checks that were applied when the results were created. The Past versions tab lists the development history.
Great! Since the R Markdown file has been committed to the Git repository, you know the exact version of the code that produced these results.
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Note that any generated files, e.g. HTML, png, CSS, etc., are not included in this status report because it is ok for generated content to have uncommitted changes.
These are the previous versions of the repository in which changes were made to the R Markdown (analysis/index.Rmd
) and HTML (docs/index.html
) files. If you’ve configured a remote Git repository (see ?wflow_git_remote
), click on the hyperlinks in the table below to view the files as they were in that past version.
| File | Version | Author | Date | Message |
|---|---|---|---|---|
| Rmd | def2ff0 | Peter Carbonetto | 2021-06-25 | workflowr::wflow_publish(“analysis/index.Rmd”) |
| html | fe1d8a6 | Peter Carbonetto | 2021-06-07 | Build site. |
| Rmd | e0699e0 | Peter Carbonetto | 2021-06-07 | workflowr::wflow_publish(“index.Rmd”) |
| html | 52c3c97 | Peter Carbonetto | 2021-06-07 | Build site. |
| Rmd | 74459c2 | Peter Carbonetto | 2021-06-07 | workflowr::wflow_publish(“index.Rmd”) |
| html | cda84a9 | Peter Carbonetto | 2021-06-02 | Updated arXiv citation. |
| Rmd | e4a64e0 | Peter Carbonetto | 2021-06-02 | workflowr::wflow_publish(“index.Rmd”) |
| html | 9e6958a | Peter Carbonetto | 2019-11-12 | Re-built home page with workflowr 1.5.0. |
| html | e574eec | Peter Carbonetto | 2019-05-29 | Removed code chunk from home page. |
| Rmd | bffeca4 | Peter Carbonetto | 2019-05-29 | wflow_publish(“analysis/index.Rmd”) |
| html | 29686e2 | Peter Carbonetto | 2019-05-29 | More testing of wflow_publish() on index.Rmd. |
| html | 23277ee | Peter Carbonetto | 2019-05-29 | Testing workflowr::wflow_publish on index.Rmd. |
| Rmd | d787b97 | Peter Carbonetto | 2019-05-29 | wflow_publish(“analysis/index.Rmd”) |
| html | ee4e1ef | Peter Carbonetto | 2019-03-14 | Re-built home page with updated citation info; addresses Issue #2. |
| Rmd | 2d1870b | Peter Carbonetto | 2019-03-14 | Updated LICENSE; updated main workflowr page. |
| html | bf8b368 | Peter Carbonetto | 2018-12-21 | Fixed plots for Bursts simulations. |
| Rmd | b9f5cd3 | Peter Carbonetto | 2018-12-21 | wflow_publish(c(“index.Rmd”, “poisson.Rmd”)) |
| html | c815163 | Peter Carbonetto | 2018-12-21 | Added info about Poisson results in output directory. |
| Rmd | 840ef19 | Peter Carbonetto | 2018-12-20 | wflow_publish(“index.Rmd”) |
| html | 7dc40a9 | Peter Carbonetto | 2018-12-20 | Revised license info given in home page. |
| Rmd | 52a763f | Peter Carbonetto | 2018-12-20 | wflow_publish(“index.Rmd”) |
| html | 92215ee | Peter Carbonetto | 2018-12-20 | Revised “what’s included” section. |
| Rmd | 594f66f | Peter Carbonetto | 2018-12-20 | wflow_publish(“index.Rmd”) |
| html | 755a5a3 | Peter Carbonetto | 2018-12-20 | Added content to “What’s included in the git repository” section. |
| Rmd | afcb7cd | Peter Carbonetto | 2018-12-20 | wflow_publish(“index.Rmd”) |
| html | 24792c7 | Peter Carbonetto | 2018-12-20 | Added link to poisson page in the home page. |
| Rmd | 13aafbf | Peter Carbonetto | 2018-12-20 | wflow_publish(“index.Rmd”) |
| html | 99d1f34 | Peter Carbonetto | 2018-12-07 | Re-built all the outdated workflowr webpages. |
| Rmd | 2ddb601 | Peter Carbonetto | 2018-12-06 | I have an initial setup of the Shiny server document. |
| html | 8caff70 | Peter Carbonetto | 2018-12-06 | Re-built the workflowr pages after several minor changes to the text |
| Rmd | c589dbb | Peter Carbonetto | 2018-12-06 | wflow_publish(c(“index.Rmd”, “gaussian_signals.Rmd”, |
| Rmd | d82c55d | Peter Carbonetto | 2018-12-04 | Added shiny page to home. |
| Rmd | ef0b2de | Peter Carbonetto | 2018-12-04 | Minor edits to home page. |
| html | 35f03c0 | Peter Carbonetto | 2018-12-04 | Changed title of gaussian_signals.Rmd. |
| Rmd | 4a35339 | Peter Carbonetto | 2018-12-04 | wflow_publish(c(“gaussian_signals.Rmd”, “index.Rmd”)) |
| html | 6897465 | Peter Carbonetto | 2018-12-04 | Added gaussian_signals page to the home. |
| Rmd | 7ebd899 | Peter Carbonetto | 2018-12-04 | wflow_publish(c(“gaussian_signals.Rmd”, “index.Rmd”)) |
| html | 6d2dec3 | Peter Carbonetto | 2018-11-09 | Added link to TOC in home page. |
| Rmd | 049dcbb | Peter Carbonetto | 2018-11-08 | Moved around some files and revised TOC in home page. |
| html | 40956da | Peter Carbonetto | 2018-11-08 | Another minor edit to the home page. |
| Rmd | a181e84 | Peter Carbonetto | 2018-11-08 | wflow_publish(“index.Rmd”) |
| html | 04a6b8a | Peter Carbonetto | 2018-11-08 | Adjusted formatting of TOC in home page. |
| Rmd | 1b61bd1 | Peter Carbonetto | 2018-11-08 | wflow_publish(“index.Rmd”) |
| html | 5bfcb05 | Peter Carbonetto | 2018-11-08 | Fixing up the TOC for the home page. |
| Rmd | 58539f5 | Peter Carbonetto | 2018-11-08 | wflow_publish(“index.Rmd”) |
| html | e6a06ed | Peter Carbonetto | 2018-11-08 | Re-built the home page; wflow_publish(“index.Rmd”) |
| Rmd | f4372ca | Peter Carbonetto | 2018-11-08 | Moved around some of the files, and revising the home page. |
| html | b5453fa | Peter Carbonetto | 2018-11-06 | Small edit to home page. |
| Rmd | e94d1ce | Peter Carbonetto | 2018-11-06 | wflow_publish(“index.Rmd”) |
| html | 762f342 | Peter Carbonetto | 2018-11-06 | Some more minor fixes to the home page. |
| html | 4c88a8b | Peter Carbonetto | 2018-11-06 | A few more fixes to the home page. |
| Rmd | 7caace6 | Peter Carbonetto | 2018-11-06 | wflow_publish(“index.Rmd”) |
| html | 145b7e5 | Peter Carbonetto | 2018-11-06 | A few improvements to the home page. |
| Rmd | 4baa137 | Peter Carbonetto | 2018-11-06 | wflow_publish(“index.Rmd”) |
| html | 0328612 | Peter Carbonetto | 2018-11-06 | Re-built the home page after revamping it. |
| Rmd | aa4437d | Peter Carbonetto | 2018-11-06 | wflow_publish(“index.Rmd”) |
| Rmd | 27bb547 | Peter Carbonetto | 2018-11-06 | Greatly simplified the README. |
| html | 0a6b926 | Peter Carbonetto | 2018-10-18 | Adjusted workflowr site rendering. |
| html | c0faf17 | Peter Carbonetto | 2018-10-18 | Added links to analyses in home page. |
| Rmd | 40ad2f2 | Peter Carbonetto | 2018-10-18 | wflow_publish(“index.Rmd”) |
| html | 4005f5e | Peter Carbonetto | 2018-08-23 | Created home page for the first time. |
| html | 0797696 | Peter Carbonetto | 2018-08-23 | Build site. |
| Rmd | 80e51ae | Peter Carbonetto | 2018-08-23 | Start workflowr project with wflow_start(). |
This repository contains data and R source code accompanying our manuscript,
Zhengrong Xing, Peter Carbonetto and Matthew Stephens (2021). Flexible signal denoising via flexible empirical Bayes shrinkage. Journal of Machine Learning Research 22(93), 1–28.
If you find any of the source code in this repository useful for your work, please cite our paper.
The new methods can be found in the smashr package.
The following analyses generate some of the empirical results presented in Xing, Carbonetto & Stephens (2020). If you encounter a problem running any of the R code in these examples, please post an issue.
See here for the source repository. This is the overall structure of the repository:
├── analysis
├── code
├── data
├── docs
├── dsc
├── output
└── shiny
The analysis
directory contains R Markdown source files for the workflowr website, including R code implementing the SMASH demos, and R code to generate tables and figures for the manuscript.
The code
directory contains additional supporting code for the demos and analyses of the results.
The data
directory contains data files used in the ChIP-seq demo.
The docs
directory contains webpages generated from the R Markdown files in the analysis directory.
The dsc
directory contains R and MATLAB code used to implement the “Gaussian mean estimation” simulations in the manuscript.
The output
directory contains results from the Gaussian and Poisson simulations. The pois_hf.RData
file in this directory contains results from experimenting with different Gaussian denoising techniques for the Haar-Fisz algorithm in the Poisson simulations.
The shiny
directory contains code to generate the Shiny Web app in R.
Copyright (c) 2016-2021, Zhengrong Xing, Peter Carbonetto & Matthew Stephens.
Our numerical comparisons make use of some of the functions from WaveLab, so we have included the WaveLab source code in this repository. See the COPYING.m
Wavelab850 subdirectory for more information about distributing WaveLab.
Our numerical comparisons also use of some functions from GaussianWaveDen, so we have included the GaussianWaveDen source in this repository. For information about distributing GaussianWaveDen, see the copyright.m
in the WavDen subdirectory. Note that we made one small improvement to the code in blockJS.m
to prevent an error that occurs when running the code in newer versions of MATLAB.
All other source code and software in this repository are made available under the terms of the MIT license. See the LICENSE
file in the git repository for the full text of the license.
This project was developed by Zhengrong Xing at the University of Chicago, with support and contributions from Peter Carbonetto and Matthew Stephens.


Hi, my name is Uelmar U. Ortega. I am currently studying B.S.I.T(Bachelor of Science in Information Technology) at a prestigious school in Dipolog City; Dipolog Medical Center College Foundation Inc.(DMCCFI).
With the proper education, resource, and determination, I was able to create a number of software application such as Informations Systems(bought in desktop and in web), Student Performance Evaluation Systems, Web Applications, and Mobile Applications. I have also experienced Game Development and Web Designing. As such, I developed a deeper understanding about mathematics, software development strategies, programming, and other important skill sets.
One of the things that I consider a key to success and also the force that drives humanity forward to a more technologically advanced race is our ability to innovate. By using conventional knowledge, we are able to commence the development of new techologies. From conventional technologies emerge innovations which makes the world a better place. This is the reason why I always push myself to the limits of my abilities as a software developer.
I am a kind person that does everything with quality and excellence not just as a student but also as a part of the ever growing economy that we have in the Philippines. Everthing that I make, pushes me, my classmates and my fellow contrymen one step closer to becoming a successful country which makes us, Filipinos, widely recognized all over the world.


ISL Entrepreneurship Meet-Up goes to Vieux Fort
by Invest St Lucia(PRESS RELEASE) – Invest Saint Lucia’s business acceleration and incubation programme, set to be officially titled via a national logo and name competition, is also expected to launch in its virtual capacity in the first quarter of 2020.
Leading up to the virtual launch, Invest Saint Lucia has orchestrated a series of networking and training opportunities to get small business owners involved in the project designed to benefit the business community.
Scheduled as one of the 2019 Annual Business Month activities, Entrepreneurship Meet-Up South Edition, will be hosted on November 27, 2019 at the National Skills Development Centre’s Vieux Fort branch. Invest Saint Lucia is working in tandem with the Southern Business Association in this endeavour to bring entrepreneurs together to network, showcase products and services.
The last Entrepreneurship Meet-Up was held in September and attracted some 150 businesspeople to a panel discussion on entrepreneurship culture and local experiences. For the southern edition, attendees will gain insight on topics of franchising, partnerships, taking on investors and tax obligations from a business law perspective.
Mr Thomas Theobalds, a partner at Brickstone Law, will be the feature presenter and promises to use his profound experience in his delivery. Theobalds’ main areas of practice are banking, real property, intellectual property, commercial and corporate law and civil litigation.
At the formal opening of Business Month, project coordinator for the business acceleration and incubation programme, Dave Headley, explained why it is a necessity in Saint Lucia’s business community. He said, “We are already known throughout the OECS for strongly promoting entrepreneurship. But we have reached to a point in our journey where all key stakeholders that impact the lives of entrepreneurs need to create and sustain a pro-business environment that would allow for innovation and entrepreneurship to thrive…It is now we must establish the framework and conducive environment that would not only propel potential entrepreneurs, but existing businesses to flourishing stardom.”
During the Business Month opening, Minister for Commerce, Honourable Bradley Felix said, “I’m very excited about this particular initiative because I think it will work wonders for our young people with great ideas. Congratulations, and I look forward to the programme.”
The Entrepreneurship Meet-Up will also help sensitise businesspeople of the services to expect from the business acceleration and incubation programme. More importantly, entrepreneurs will have an opportunity to showcase their products and services. Interested entrepreneurs should note that attendance must be registered by RSVP only by contacting 729-1551 or 724-5757 or 454-8757.
More Finance/Business Stories
-
Chamber AGM – Regional and national perspective of St. Lucia’s economy to be discussed next week November 21, 2019
-
Anse La Raye fire victim gets donation in rebuilding efforts November 20, 2019
-
Correspondent banking and de-risking discussed as Prime Minister meets with Chair of US Financial Services Committee November 20, 2019
-
Sandals team members receive first class health care on the job November 20, 2019
-
ECCB awards CIBC FirstCaribbean 2019 Bank of the Year – Customer service November 19, 2019
-
CSA happy over collective agreement with LUCELEC but … November 19, 2019
-
Closure of office November 18, 2019
-
Bay Gardens Resorts wins ninth Saint Lucia Business Award November 18, 2019
-
LUCELEC and CSA sign collective agreement for Grade 1 employees November 18, 2019


This is a patch release of Google Play Music Desktop Player
Here is a quick run down of all things that have changed.
- NEW: Reset custom CSS with the "escape" key in settings
- NEW: Add an option to stop the display sleeping
- FIX: White flashes on macOS have been fixed
- FIX: Better theming with the new GPM UI
- FIX: Update dialog now doens't block the mini player
Thanks to all the people who have helped with these features and fixes.


Chicago mayor rejects Uber's alternative tax proposal
by Karen Pierog, Tina Bellon(Reuters) - Chicago’s mayor on Wednesday rejected an alternative proposal by Uber Technologies Inc (UBER.N) to tax ride-hailing services, accusing the company of trying to resist any type of regulation by stirring up racial tensions.
Uber in a statement rejected the mayor’s claims, saying its plan was raising money for the city in a more equitable way by not increasing fees on lower-income communities in Chicago’s South and West side neighborhoods.


| Wareflex SR650 General Information
-
| Synonyms: |
DBEEA; Dibutoxyethoxyethyl adipate; Butyl carbitol adipate; di2-(2-butoxyethoxy)ethyl hexane-1,6-dioate |
| Molecular Formula: |
C22H42O8 |
| CAS Registry No.: |
141-17-3 |
| Chemical Category: |
Adipates |
Usage and Performance Characteristics
-
| Manufacturer: |
SARTOMER Company |
| Outstanding Properties: |
Excellent low temperature flexibility |
| Used for Polymeric Materials: |
NBR, NBR/PVC, CR, CM, polyacrylic, epichlorohydrin |
| Misc. Info on Composition: |
92% Dibutoxyethoxyethyl adipate; 2% ethanol, 2(2-butoxyethoxy); 2% toluene |
Physical Properties
-
| Specific Gravity: |
1.016 (25°C) |
| Aggregate State at 25°C: |
Liquid |
Chemical Properties
-
| Hildebrand Solubility Parameter, MPa1/2: |
17.98 |
Optical Properties
Hazard-Related Data
-
| Eye Irritation (human): |
May cause mild irritation |
| Flash Point Temperature, °C: |
110 |
| HMIS Personal protection: |
Chemical splash goggles, face protection, gloves, apron |
| Skin Irritation: |
May cause irritation |
Environmental Parameters
-
| Octanol-Water Partition Coeff., log Kow: |
3.24 |
| Theoretical Oxygen Demand, ThOD, g/g: |
2.1 |
Animal Toxicity
-
| Rat Oral, LD50, mg/kg: |
6,000 |
Plasticizers Database (2nd Electronic Edition) Copyright © 2004 by ChemTec Publishing |


kommandant-core
/
com.github.kvnxiao.kommandant
/
ICommandBank
/
clearAll
clearAll
abstract
fun
clearAll
(
)
:
Unit
(source)
Deletes all commands from the registry.


These are 3 free responsive Carousel templates made with Bootstrap 4. Download them on AZMIND and enjoy!
Template 1
Template 2
Template 3


Currently I work as a Product Marketer at Pinterest. Here, myself and the amazing people I get to work at a place where people foster inspiration to create a life they love. Previously, I worked at Penta, a B2B business bank, where I worked as Product Marketing Manager. I love connecting with interesting people, so if you'd like to chat, you can send me an email.


In the past three columns, I looked at using "references" in Perl. References are an important part of capturing and reflecting the structure of real-world data -- for example, a table of employees, each of whom has various attributes, can be represented as an array of hashrefs, pointing at attribute hashes for each employee.
Now let's turn to capturing and reflecting real-world processes, in the form of "objects." Objects provide encapsulation (to control access to data), abstract data types (to let the data more closely model the real world), and inheritance (to reuse operations that are similar but have some variation).
The Perl distribution includes perlobj, a basic reference in using objects, and perltoot, which introduces readers to the peculiarities of Perl's object system in a tutorial way. However, I found that both of these documentation sections tend to be opaque to those of us with less experience with objects. And that seems to be the majority of users coming from a system-administration or CGI Web-development background (Perl's core audience).
So I created some courseware for my company's Perl training classes that took a different approach, presuming no prior exposure to objects. It goes something like this...
If We Could Talk to the Animals...
Let's let the animals talk for a moment:
sub Cow::speak { print "a Cow goes moooo!\n"; } sub Horse::speak { print "a Horse goes neigh!\n"; } sub Sheep::speak { print "a Sheep goes baaaah!\n" } Cow::speak; Horse::speak; Sheep::speak;This results in:
a Cow goes moooo! a Horse goes neigh! a Sheep goes baaaah!Nothing spectacular here. Simple subroutines, albeit from separate packages, and called using the full package name. So let's fill an entire pasture:
# Cow::speak, Horse::speak, Sheep::speak as before @pasture = qw(Cow Cow Horse Sheep Sheep); foreach $animal (@pasture) { &{$animal."::speak"}; }This results in:
a Cow goes moooo! a Cow goes moooo! a Horse goes neigh! a Sheep goes baaaah! a Sheep goes baaaah!Wow. That symbolic coderef de-referencing there is pretty nasty. We're counting on no strict subs mode, certainly not recommended for larger programs. And why was that necessary? Because the name of the package seems to be inseparable from the name of the subroutine we want to invoke within that package.
Or is it?


This is work in progress.
Standard tree:
Droppable.
jquery.fancytree.js project home Link to this page Example Browser View source code


{% extends '_base.html' %} {% load account %} {% block head_title %}"Confirm E-mail Address"{% endblock %} {% block content %}
Please click verify to confirm that your email is {{ email }}.
{% endwith %}
{% else %} {% url 'account_email' as email_url %}This e-mail confirmation link expired or is invalid. Please issue a new e-mail confirmation request.
{% endif %} {% endblock content%}


To apply this component, add a container element with the .timeline
class and add
.activity
class for child elements.
| Props | Default Class Name |
|---|---|
| Container | .timeline |
| Timeline Item | .activity |
| Activity by | .author |
| Activity Detail | .body |
| Activity Type | .type |
| Activity Date | .date |
| Activity Media | .media |
| Activity Actions | .actions |
| Styles | Default Class Name |
|---|---|
| Default | - |
| Primary | .primary |
| Success | .success |
| Warning | .warning |
| Error | .error |
| Dark | .dark |

 lock

12.12.2020

Malachy Fowler,

 Te vidisse cotidieque est, in adhuc honestatis his.

 ...
...

 |
Also, you can add the media elements or actions to Timeline component with the .media
and .actions
classes.


Groves Coffee
Start Here
About
FAQ
Contact Us
Specialty Coffee.
Custom Roasted.
Just For You.
Start Here


Draw lava over almost every kind of mesh just by adding it a single component! Sign up for get notified when hq lava painter gets released on Asset Store!


Before Change
("switch", DISCOVER_SWITCHES),
("alarm_control_panel", DISCOVER_ALARMS),
("lock", DISCOVER_LOCKS))):
component = get_component(comp_name)
bootstrap.setup_component(hass, component.DOMAIN, config)
hass.bus.fire(EVENT_PLATFORM_DISCOVERED,
{ATTR_SERVICE: discovery,
ATTR_DISCOVERED: {}})
return True
After Change
return False
for component in ("sensor", "switch", "alarm_control_panel", "lock"):
discovery.load_platform(hass, component, DOMAIN, None, config)
return True


--- layout: default title: Me ---
Hi, I'm Richard, a Senior Software Engineer, living and working on the Isle of Man.
Please feel free to contact me.


Map Grids Confirmed on LoTW
Enter your
LoTW
credentials.
LoTW Username:
Password:
If you have more than one callsign associated with your LoTW account, you can select just one to analyze. If you only have one callsign, or want to analyze data for all of your callsigns, leave this field blank.
Callsign:
All Bands
160M
80M
60M
40M
30M
20M
17M
15M
12M
10M
6M
2M
Start Date:
End Date:
Show Unworked FFMA:
Get ADIF and Plot
You may wish to bring their own ADIF, rather than fetch it through my server.
Use the URL below to fetch your ADIF, then use the button below to load and map it.
Bring my own ADIF
Please Wait.
Try Again


I’m a Media Arts + Practice student at the University of Southern California’s School of Cinematic Arts. A digital media producer by trade, I aspire to work at the intersection of art and science, sharing my ideas and passions with others. I’m especially interested in projects that blend educational or research content with aesthetic, emotion, and entertainment value to make complex topics accessible and inspiring for all.
I want to explore our reality and learn everything I can about the way the world works; that’s why I love both the sciences and the arts. To me, science is a beautifully rational process of discovering the fundamental truths of the universe, while art is an expression of our personal and societal truths. It’s our way of reflecting upon ourselves, and as Sean Carroll says,
“We are part of the universe that has developed a remarkable ability: We can hold an image of the world in our minds. We are matter contemplating itself.”
Please reach me at<EMAIL_ADDRESS>or<PHONE_NUMBER>


Version 3.0.4 by Volodymyr Volynets
- I18n
- Enhancement #1000 (Changes from another application.)
Repository / Git:
Name: Numbers\Internalization
Title: Internalization Repository
Version: 3.0.3
Last Tag: 3.0.3
User Name: Volodymyr Volynets
User Email<EMAIL_ADDRESS>Statistics:
Addition: 37
Deletion: 0
Modules:
I/N Internalization (Numbers/Internalization/Internalization, 1.0.9) | 37 0
21 0 | Internalization/Model/Print2/FontStyles.php
16 0 | Internalization/Model/Print2/Orientations.php


Your nameEnter first & last name
Roll No, Class, SectionEnter roll number & Select class, section
SchoolEnter name of your school


That's why PgAccess 0.98 has been internally restructured, every main
module of PgAccess has became a namespace (see Tcl namespaces) in order
to hide the variables and internal procedures to the user. Also, all the
global variables that have been used before were grouped under a single
big associative array called PgAcVar (PgAccess variables) so they
should not interfere with user defined global variables.
Global variables available
| PgAcVar | The main global associative array that hold together various information needed by PgAccess. User should NOT alter it under any circumstances. |
| CurrentDB | The handler of the current opened database. Can be used for database operations as selects or command execution. |
| Messages | The associative array that holds the translation for the current language. Loaded from the appropriate language file from lib/languages directory |
| PGACCESS_HOME | Keep the system directory of PgAccess root installation |
Window naming convention
Every toplevel window defined by PgAccess has the following naming convention. Every window name starts with .pgaw (PgAccess window) followed by a colon and a name. Example:
.pgaw:User , .pgaw:About , .pgaw:ImportExportNamespaces available
For every tab from the main database window there is a namespace defined (Tables, Queries, Views, Functions, Sequences, Reports, Forms, Scripts, Users, Schema). Every namespace has by default the following procedures:
Tables::open "customers"The Tables::open procedure accepts two optional parameters, filter and order.
Queries::open "Invoices received"
Forms::open "Add new invoice"
Tables::open "phonebook" "name ~* 'joe'" "age desc"will open a table view window with predefined filter "name ~* 'joe'" and ordered by descending age.
There is also a special namespace called Database. Here are some
procedures and functions defined for this namespace available to the user:
| Name | Parameters | Type | Returns | Description |
| vacuum | none | procedure | nothing | vacuums the current database |
| getTablesList | none | function | list | returns the list of tables from the current database |
| executeUpdate | sqlcmd | function | integer | execute the sqlcmd command on the current database returning 1 if no errors ocurred or 0 if the command failed |
Global functions available
| Name | Parameters | Description |
| setCursor | type | Set the cursor for all PgAccess windows, type of cursor can be WAIT or CLOCK or WATCH for the hourglass , anything else (or none) to return to the normal cursor shape |
| parameter | msg | Shows a modal input dialog with the msg message, wait for user to enter the data and returns it as a string |
| showError | msg | Shows a modal dialog window with an error message |


Retina
{{result}}
"Retinal diseases (CNV DME )"
{{result}}
"Retinal diseases (CNV DME )"
{{result}}
"Pneumonia is an infection of the lungs with a range of possible causes"
{{result}}
"An arrhythmia is a problem with the rate or rhythm of your heartbeat"
Copyright © 2015 Detectors Team, Developers: J.Sasi Kiran,D.Likhil Kumar,V.DevarajVarma


Target voters in your ward using the given filter criteria.
Target voters in your ward using the given filter criteria.
You have selected the following constituency and ward.
{{error}}
| Street | Voted / Pledges | Map | |
|---|---|---|---|
|
|
{{street | streetSingleLineFilter}} | {{street.votedPledges}} / {{street.pledged}} ({{getRatioPledged(street.votedPledges, street.pledged)}}%) No pledges |


|
|||||||||
| PREV CLASS NEXT CLASS | FRAMES NO FRAMES | ||||||||
| SUMMARY: NESTED | FIELD | CONSTR | METHOD | DETAIL: FIELD | CONSTR | METHOD |
Object org.apache.spark.graphx.Graph<VD,ED>
public abstract class Graph<VD,ED>
The Graph abstractly represents a graph with arbitrary objects associated with vertices and edges. The graph provides basic operations to access and manipulate the data associated with vertices and edges as well as the underlying structure. Like Spark RDDs, the graph is a functional data-structure in which mutating operations return new graphs.
| Method Summary | ||
|---|---|---|
|
aggregateMessages(scala.Function1<EdgeContext<VD,ED,A>,scala.runtime.BoxedUnit> sendMsg,
scala.Function2<A,A,A> mergeMsg,
TripletFields tripletFields,
scala.reflect.ClassTag<A> evidence$12)
Aggregates values from the neighboring edges and vertices of each vertex. |
|
static
|
apply(RDD<scala.Tuple2<Object,VD>> vertices,
RDD<Edge<ED>> edges,
VD defaultVertexAttr,
StorageLevel edgeStorageLevel,
StorageLevel vertexStorageLevel,
scala.reflect.ClassTag<VD> evidence$19,
scala.reflect.ClassTag<ED> evidence$20)
Construct a graph from a collection of vertices and edges with attributes. |
|
abstract Graph<VD,ED> |
cache()
Caches the vertices and edges associated with this graph at the previously-specified target storage levels, which default to MEMORY_ONLY . |
|
abstract void |
checkpoint()
Mark this Graph for checkpointing. |
|
abstract EdgeRDD<ED> |
edges()
An RDD containing the edges and their associated attributes. |
|
static
|
fromEdges(RDD<Edge<ED>> edges,
VD defaultValue,
StorageLevel edgeStorageLevel,
StorageLevel vertexStorageLevel,
scala.reflect.ClassTag<VD> evidence$17,
scala.reflect.ClassTag<ED> evidence$18)
Construct a graph from a collection of edges. |
|
static
|
fromEdgeTuples(RDD<scala.Tuple2<Object,Object>> rawEdges,
VD defaultValue,
scala.Option<PartitionStrategy> uniqueEdges,
StorageLevel edgeStorageLevel,
StorageLevel vertexStorageLevel,
scala.reflect.ClassTag<VD> evidence$16)
Construct a graph from a collection of edges encoded as vertex id pairs. |
|
abstract scala.collection.Seq<String> |
getCheckpointFiles()
Gets the name of the files to which this Graph was checkpointed. |
|
static
|
graphToGraphOps(Graph<VD,ED> g,
scala.reflect.ClassTag<VD> evidence$21,
scala.reflect.ClassTag<ED> evidence$22)
Implicitly extracts the GraphOps member from a graph. |
|
abstract Graph<VD,ED> |
groupEdges(scala.Function2<ED,ED,ED> merge)
Merges multiple edges between two vertices into a single edge. |
|
abstract boolean |
isCheckpointed()
Return whether this Graph has been checkpointed or not. |
|
|
mapEdges(scala.Function1<Edge<ED>,ED2> map,
scala.reflect.ClassTag<ED2> evidence$4)
Transforms each edge attribute in the graph using the map function. |
|
abstract
|
mapEdges(scala.Function2<Object,scala.collection.Iterator<Edge<ED>>,scala.collection.Iterator<ED2>> map,
scala.reflect.ClassTag<ED2> evidence$5)
Transforms each edge attribute using the map function, passing it a whole partition at a time. |
|
abstract
|
mapReduceTriplets(scala.Function1<EdgeTriplet<VD,ED>,scala.collection.Iterator<scala.Tuple2<Object,A>>> mapFunc,
scala.Function2<A,A,A> reduceFunc,
scala.Option<scala.Tuple2<VertexRDD<?>,EdgeDirection>> activeSetOpt,
scala.reflect.ClassTag<A> evidence$11)
Aggregates values from the neighboring edges and vertices of each vertex. |
|
|
mapTriplets(scala.Function1<EdgeTriplet<VD,ED>,ED2> map,
scala.reflect.ClassTag<ED2> evidence$6)
Transforms each edge attribute using the map function, passing it the adjacent vertex attributes as well. |
|
|
mapTriplets(scala.Function1<EdgeTriplet<VD,ED>,ED2> map,
TripletFields tripletFields,
scala.reflect.ClassTag<ED2> evidence$7)
Transforms each edge attribute using the map function, passing it the adjacent vertex attributes as well. |
|
abstract
|
mapTriplets(scala.Function2<Object,scala.collection.Iterator<EdgeTriplet<VD,ED>>,scala.collection.Iterator<ED2>> map,
TripletFields tripletFields,
scala.reflect.ClassTag<ED2> evidence$8)
Transforms each edge attribute a partition at a time using the map function, passing it the adjacent vertex attributes as well. |
|
abstract
|
mapVertices(scala.Function2<Object,VD,VD2> map,
scala.reflect.ClassTag<VD2> evidence$3,
scala.Predef.$eq$colon$eq<VD,VD2> eq)
Transforms each vertex attribute in the graph using the map function. |
|
abstract
|
mask(Graph<VD2,ED2> other,
scala.reflect.ClassTag<VD2> evidence$9,
scala.reflect.ClassTag<ED2> evidence$10)
Restricts the graph to only the vertices and edges that are also in other , but keeps the
attributes from this graph. |
|
GraphOps<VD,ED> |
ops()
The associated GraphOps object. |
|
abstract
|
outerJoinVertices(RDD<scala.Tuple2<Object,U>> other,
scala.Function3<Object,VD,scala.Option<U>,VD2> mapFunc,
scala.reflect.ClassTag<U> evidence$14,
scala.reflect.ClassTag<VD2> evidence$15,
scala.Predef.$eq$colon$eq<VD,VD2> eq)
Joins the vertices with entries in the table RDD and merges the results using mapFunc . |
|
abstract Graph<VD,ED> |
partitionBy(PartitionStrategy partitionStrategy)
Repartitions the edges in the graph according to partitionStrategy . |
|
abstract Graph<VD,ED> |
partitionBy(PartitionStrategy partitionStrategy,
int numPartitions)
Repartitions the edges in the graph according to partitionStrategy . |
|
abstract Graph<VD,ED> |
persist(StorageLevel newLevel)
Caches the vertices and edges associated with this graph at the specified storage level, ignoring any target storage levels previously set. |
|
abstract Graph<VD,ED> |
reverse()
Reverses all edges in the graph. |
|
abstract Graph<VD,ED> |
subgraph(scala.Function1<EdgeTriplet<VD,ED>,Object> epred,
scala.Function2<Object,VD,Object> vpred)
Restricts the graph to only the vertices and edges satisfying the predicates. |
|
abstract RDD<EdgeTriplet<VD,ED>> |
triplets()
An RDD containing the edge triplets, which are edges along with the vertex data associated with the adjacent vertices. |
|
abstract Graph<VD,ED> |
unpersist(boolean blocking)
Uncaches both vertices and edges of this graph. |
|
abstract Graph<VD,ED> |
unpersistVertices(boolean blocking)
Uncaches only the vertices of this graph, leaving the edges alone. |
|
abstract VertexRDD<VD> |
vertices()
An RDD containing the vertices and their associated attributes. |
| Methods inherited from class Object |
|---|
equals, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait |
| Method Detail |
|---|
public static <VD> Graph<VD,Object> fromEdgeTuples(RDD<scala.Tuple2<Object,Object>> rawEdges, VD defaultValue, scala.Option<PartitionStrategy> uniqueEdges, StorageLevel edgeStorageLevel, StorageLevel vertexStorageLevel, scala.reflect.ClassTag<VD> evidence$16)
rawEdges
- a collection of edges in (src, dst) formdefaultValue
- the vertex attributes with which to create vertices referenced by the edgesuniqueEdges
- if multiple identical edges are found they are combined and the edge
attribute is set to the sum. Otherwise duplicate edges are treated as separate. To enable
uniqueEdges
, a PartitionStrategy
must be provided.edgeStorageLevel
- the desired storage level at which to cache the edges if necessaryvertexStorageLevel
- the desired storage level at which to cache the vertices if necessary
evidence$16
- (undocumented)
uniqueEdges
is None
) and vertex attributes containing the total degree of each vertex.public static <VD,ED> Graph<VD,ED> fromEdges(RDD<Edge<ED>> edges, VD defaultValue, StorageLevel edgeStorageLevel, StorageLevel vertexStorageLevel, scala.reflect.ClassTag<VD> evidence$17, scala.reflect.ClassTag<ED> evidence$18)
edges
- the RDD containing the set of edges in the graphdefaultValue
- the default vertex attribute to use for each vertexedgeStorageLevel
- the desired storage level at which to cache the edges if necessaryvertexStorageLevel
- the desired storage level at which to cache the vertices if necessary
evidence$17
- (undocumented)evidence$18
- (undocumented)
edges
and vertices
given by all vertices in edges
with value defaultValue
public static <VD,ED> Graph<VD,ED> apply(RDD<scala.Tuple2<Object,VD>> vertices, RDD<Edge<ED>> edges, VD defaultVertexAttr, StorageLevel edgeStorageLevel, StorageLevel vertexStorageLevel, scala.reflect.ClassTag<VD> evidence$19, scala.reflect.ClassTag<ED> evidence$20)
vertices
- the "set" of vertices and their attributesedges
- the collection of edges in the graphdefaultVertexAttr
- the default vertex attribute to use for vertices that are
mentioned in edges but not in verticesedgeStorageLevel
- the desired storage level at which to cache the edges if necessaryvertexStorageLevel
- the desired storage level at which to cache the vertices if necessaryevidence$19
- (undocumented)evidence$20
- (undocumented)
public static <VD,ED> GraphOps<VD,ED> graphToGraphOps(Graph<VD,ED> g, scala.reflect.ClassTag<VD> evidence$21, scala.reflect.ClassTag<ED> evidence$22)
GraphOps
member from a graph.
To improve modularity the Graph type only contains a small set of basic operations.
All the convenience operations are defined in the GraphOps
class which may be
shared across multiple graph implementations.
g
- (undocumented)evidence$21
- (undocumented)evidence$22
- (undocumented)
public abstract VertexRDD<VD> vertices()
public abstract EdgeRDD<ED> edges()
Edge} for the edge type.
,
Graph#triplets} to get an RDD which contains all the edges
along with their vertex data.
public abstract RDD<EdgeTriplet<VD,ED>> triplets()
edges
if the vertex data are not needed, i.e.
if only the edge data and adjacent vertex ids are needed.
public abstract Graph<VD,ED> persist(StorageLevel newLevel)
newLevel
- the level at which to cache the graph.
public abstract Graph<VD,ED> cache()
MEMORY_ONLY
. This is used to pin a graph in memory enabling
multiple queries to reuse the same construction process.
public abstract void checkpoint()
public abstract boolean isCheckpointed()
public abstract scala.collection.Seq<String> getCheckpointFiles()
public abstract Graph<VD,ED> unpersist(boolean blocking)
blocking
- (undocumented)
public abstract Graph<VD,ED> unpersistVertices(boolean blocking)
blocking
- (undocumented)
public abstract Graph<VD,ED> partitionBy(PartitionStrategy partitionStrategy)
partitionStrategy
.
partitionStrategy
- the partitioning strategy to use when partitioning the edges
in the graph.
public abstract Graph<VD,ED> partitionBy(PartitionStrategy partitionStrategy, int numPartitions)
partitionStrategy
.
partitionStrategy
- the partitioning strategy to use when partitioning the edges
in the graph.numPartitions
- the number of edge partitions in the new graph.
public abstract <VD2> Graph<VD2,ED> mapVertices(scala.Function2<Object,VD,VD2> map, scala.reflect.ClassTag<VD2> evidence$3, scala.Predef.$eq$colon$eq<VD,VD2> eq)
map
- the function from a vertex object to a new vertex value
evidence$3
- (undocumented)eq
- (undocumented)
public <ED2> Graph<VD,ED2> mapEdges(scala.Function1<Edge<ED>,ED2> map, scala.reflect.ClassTag<ED2> evidence$4)
mapTriplets
.
map
- the function from an edge object to a new edge value.
evidence$4
- (undocumented)
public abstract <ED2> Graph<VD,ED2> mapEdges(scala.Function2<Object,scala.collection.Iterator<Edge<ED>>,scala.collection.Iterator<ED2>> map, scala.reflect.ClassTag<ED2> evidence$5)
mapTriplets
.
map
- a function that takes a partition id and an iterator
over all the edges in the partition, and must return an iterator over
the new values for each edge in the order of the input iterator
evidence$5
- (undocumented)
public <ED2> Graph<VD,ED2> mapTriplets(scala.Function1<EdgeTriplet<VD,ED>,ED2> map, scala.reflect.ClassTag<ED2> evidence$6)
mapEdges
instead.
map
- the function from an edge object to a new edge value.
evidence$6
- (undocumented)
public <ED2> Graph<VD,ED2> mapTriplets(scala.Function1<EdgeTriplet<VD,ED>,ED2> map, TripletFields tripletFields, scala.reflect.ClassTag<ED2> evidence$7)
mapEdges
instead.
map
- the function from an edge object to a new edge value.tripletFields
- which fields should be included in the edge triplet passed to the map
function. If not all fields are needed, specifying this can improve performance.
evidence$7
- (undocumented)
public abstract <ED2> Graph<VD,ED2> mapTriplets(scala.Function2<Object,scala.collection.Iterator<EdgeTriplet<VD,ED>>,scala.collection.Iterator<ED2>> map, TripletFields tripletFields, scala.reflect.ClassTag<ED2> evidence$8)
mapEdges
instead.
map
- the iterator transformtripletFields
- which fields should be included in the edge triplet passed to the map
function. If not all fields are needed, specifying this can improve performance.
evidence$8
- (undocumented)
public abstract Graph<VD,ED> reverse()
public abstract Graph<VD,ED> subgraph(scala.Function1<EdgeTriplet<VD,ED>,Object> epred, scala.Function2<Object,VD,Object> vpred)
V' = {v : for all v in V where vpred(v)}
E' = {(u,v): for all (u,v) in E where epred((u,v)) && vpred(u) && vpred(v)}
epred
- the edge predicate, which takes a triplet and
evaluates to true if the edge is to remain in the subgraph. Note
that only edges where both vertices satisfy the vertex
predicate are considered.
vpred
- the vertex predicate, which takes a vertex object and
evaluates to true if the vertex is to be included in the subgraph
public abstract <VD2,ED2> Graph<VD,ED> mask(Graph<VD2,ED2> other, scala.reflect.ClassTag<VD2> evidence$9, scala.reflect.ClassTag<ED2> evidence$10)
other
, but keeps the
attributes from this graph.
other
- the graph to project this graph ontoevidence$9
- (undocumented)evidence$10
- (undocumented)
other
,
with vertex and edge data from the current graphpublic abstract Graph<VD,ED> groupEdges(scala.Function2<ED,ED,ED> merge)
partitionBy
.
merge
- the user-supplied commutative associative function to merge edge attributes
for duplicate edges.
public abstract <A> VertexRDD<A> mapReduceTriplets(scala.Function1<EdgeTriplet<VD,ED>,scala.collection.Iterator<scala.Tuple2<Object,A>>> mapFunc, scala.Function2<A,A,A> reduceFunc, scala.Option<scala.Tuple2<VertexRDD<?>,EdgeDirection>> activeSetOpt, scala.reflect.ClassTag<A> evidence$11)
mapFunc
function is invoked on each edge of the graph, generating 0 or more "messages" to be
"sent" to either vertex in the edge. The reduceFunc
is then used to combine the output of
the map phase destined to each vertex.
This function is deprecated in 1.2.0 because of SPARK-3936. Use aggregateMessages instead.
mapFunc
- the user defined map function which returns 0 or
more messages to neighboring vertices
reduceFunc
- the user defined reduce function which should
be commutative and associative and is used to combine the output
of the map phase
activeSetOpt
- an efficient way to run the aggregation on a subset of the edges if
desired. This is done by specifying a set of "active" vertices and an edge direction. The
sendMsg
function will then run only on edges connected to active vertices by edges in the
specified direction. If the direction is In
, sendMsg
will only be run on edges with
destination in the active set. If the direction is Out
, sendMsg
will only be run on edges
originating from vertices in the active set. If the direction is Either
, sendMsg
will be
run on edges with *either* vertex in the active set. If the direction is Both
, sendMsg
will be run on edges with *both* vertices in the active set. The active set must have the
same index as the graph's vertices.
evidence$11
- (undocumented)
public <A> VertexRDD<A> aggregateMessages(scala.Function1<EdgeContext<VD,ED,A>,scala.runtime.BoxedUnit> sendMsg, scala.Function2<A,A,A> mergeMsg, TripletFields tripletFields, scala.reflect.ClassTag<A> evidence$12)
sendMsg
function is invoked on each edge of the graph, generating 0 or more messages to be
sent to either vertex in the edge. The mergeMsg
function is then used to combine all messages
destined to the same vertex.
sendMsg
- runs on each edge, sending messages to neighboring vertices using the
EdgeContext
.mergeMsg
- used to combine messages from sendMsg
destined to the same vertex. This
combiner should be commutative and associative.tripletFields
- which fields should be included in the EdgeContext
passed to the
sendMsg
function. If not all fields are needed, specifying this can improve performance.
evidence$12
- (undocumented)
public abstract <U,VD2> Graph<VD2,ED> outerJoinVertices(RDD<scala.Tuple2<Object,U>> other, scala.Function3<Object,VD,scala.Option<U>,VD2> mapFunc, scala.reflect.ClassTag<U> evidence$14, scala.reflect.ClassTag<VD2> evidence$15, scala.Predef.$eq$colon$eq<VD,VD2> eq)
table
RDD and merges the results using mapFunc
.
The input table should contain at most one entry for each vertex. If no entry in other
is
provided for a particular vertex in the graph, the map function receives None
.
other
- the table to join with the vertices in the graph.
The table should contain at most one entry for each vertex.mapFunc
- the function used to compute the new vertex values.
The map function is invoked for all vertices, even those
that do not have a corresponding entry in the table.
evidence$14
- (undocumented)evidence$15
- (undocumented)eq
- (undocumented)
public GraphOps<VD,ED> ops()
GraphOps
object.
|
|||||||||
| PREV CLASS NEXT CLASS | FRAMES NO FRAMES | ||||||||
| SUMMARY: NESTED | FIELD | CONSTR | METHOD | DETAIL: FIELD | CONSTR | METHOD |


#assign tooling="active">
Install and use the ebeaninit
CLI tool to generate Finders, ebean.mf etc.
Ebean uses bytecode enhancement to provide dirty checking
and
lazy loading
among other things.
Install and use the IDEA plugin
to perform enhancement during development. Typically we do this AND
use build time enhancement via maven or gradle.
Install and use the Eclipse plugin
to perform enhancement during development. Typically we do this AND
use build time enhancement via maven or gradle.
Add a maven tile
or plugin
to perform build time enhancement.
Add a gradle plugin
to perform build time enhancement.
Use both IDE plugin enhancement (Idea or Eclipse) plus build time enhancement (maven or gradle).


Subscribe to webhooks with the following public endpoint
{{ eirobridge }}
Then subscribe your internal endpoint
Internal Subscribers
×
{% for subscriber in subscribers %}
{{ subscriber }}
{% endfor %}
Subscribe
×


|
Products summary |
|
Ambient air monitoring |
|
SO2, CO, NO X, O3 analyzers |
|
H2S, TRS, NH3 analyzers |
|
HF, HCl analyzers |
|
CxHy analyzers |
|
BTX analyzers |
|
Multicomponent FTIR systems (open path/extractive) |
|
Aerosol monitors |
|
Dust monitors/samplers |
|
PAH samplers |
|
VOC samplers |
|
Absorbtion samplers |
|
Meteorology |
|
Software |
|
Stack gas monitoring |
|
Direct extractive systems |
|
Dilution extractive systems |
|
In-situ systems |
|
Portable systems |
|
Dust monitoring |
|
Flow measurement |
|
Software |
|
Process gas monitoring |
|
O2/CO in flue gas measurement |
|
CO, CO2, CxHy, NOx, NH3, HCl, etc. measurement |
|
O2, CO, CO2, CH4 trace/percent level in technical gases measurement |
|
O2 traces in reduction atmosphere measurement |
|
O2 in process measurement |
|
Multicomponent FTIR measurement |
|
Process chromatographs |
|
Viscosity analyzers |
|
H2 in cooling systems measurement |
|
Electrochemical analyzers |
|
Portable analyzers for environmental monitoring |
|
Stationary analyzers for environmental monitoring |
|
Portable analyzers for flue gas monitoring |
|
Stationary analyzers for flue gas monitoring |
|
Gas analysis auxiliary equipment |
|
Air conditioned thermally insulated shelters |
|
Sample probes |
|
Sample lines |
|
Sample conditioning systems |
|
Data systems |
|
Equipment for process gas monitoring |
|
High temperature probes for cement/magnesite industry gas analyses |
|
Water quality monitoring |
|
Water level/depth, temperature, pH, DO, Redox, conductivity/salinity, NH3, NO3-, turbidity, radon monitoring |
|
Chemical oxygen demand |
|
Biological oxygen demand |
|
Hydrocarbons/oil in water |
|
Phenols, phosphates, nitrogen, cyanides, iron, manganese, silica, hydrazine, sodium, colour, etc. |
|
Organic pollutants |
|
Total organic carbon |
|
Heavy metals |
|
H2S in liquids |
|
Coagulants dosing control analyzers |
|
Colour/nitrates |
|
Water samplers |
|
Software |
|
Particulates |
|
Ambient air - volume concentration monitoring |
|
Particulate emissions monitoring |
|
Process particulates concentration monitoring |
|
Particle monitors (counters) |
|
Particle counters for basic research |
|
Indoors/outdoors particulates monitoring |
|
Breathing masks, filters and respirators testers |
|
Cascade impactors |
|
Medium size/high volume ambient air samplers |
|
Isokinetic flue gas samplers |
|
Particulates in water |
|
Turbidity |
|
Particle monitors (counters) |
|
Indoor air quality (working environment) |
|
CO2, CO, temperature, moisture measurement |
|
Flow velocity, temperature, moisture, pressure measurement |
|
Flow velocity in piping measurement |
|
Calibrators for gas analyzers |
|
Calibration using gas bottles |
|
Permeation calibrators |
|
Gas industry applications |
|
Chromatographs |
|
Heating value measurement |
|
Flow monitoring |
|
Dewpoint measurement |
|
Moisture measurement |
|
Instruments for gas equipment calibration |
|
Flue gas analyzers |
|
H2S in natural gas analyzers |
|
Natural gas odorisation analyzers |
|
Portable gas detectors |
|
Stationary gas detectors |
|
Oil leakage in water monitoring |
|
Joint tightness monitoring |
|
Special applications for nuclear power plants |
|
O2 monitoring |
|
H2 monitoring |
|
Radioactivity monitoring |
|
Software |
|
Dust in process applications monitoring |
|
Broken bag analysis |
|
Dust precipitation efficiency monitoring |
|
Particulates in technology monitoring |
|
Particulate emissions monitoring |
|
Flow monitoring |
|
Liquid flow monitoring using turbine flowmeters |
|
Ultrasonic liquid flow monitoring |
|
Ultrasonic gas flow monitoring |
|
Gas flow monitoring using differential pressure flowmeters |
|
Gas flow monitoring using electrodynamic monitors |
|
Electrodynamic powder products flow measurement |
|
Equipment for power engineering |
|
Power supplies for precipitators |
|
Flame ignition/monitoring systems |
|
Ignitors |
|
Pilot burners |
|
Flame monitoring sensors |
|
Flame monitoring systems |
|
Filtration / filtration material |
|
High resolution mass spectrometers |


Jstyle
Hello Wrrld ! This is a test page of a jscss styled in json using variables from js language. It stores variable with given css properties and make use of them in a
Hello Wrrld ! This is a test page of a jscss styled in json using variables from js language. It stores variable with given css properties and make use of them in a
Hello Wrrld ! This is a test page of a jscss styled in json using variables from js language. It stores variable with given css properties and make use of them in a css json like written. These colors are from Heroku btw. I like the half night theme.
The main background is stored as you can see in source in a json like 'body', while the font and the border of this box are under the variable $main, the border also making use of a javascript function. Margin and padding are handle with "space" variable.


Main page on HTML forms
Choices in HTML forms
Tables and forms
Form submission methods (GET and POST)
ESPN
CNN
ABC
CBS
FOX


Connect To myalgowallet
Json Decription of transaction to Sign
Clawback All 13 Editions
Download Sample Json
Download Asset Json
Update App Price


I Alone Level-up: Chapter 77
The entire Building B became silent .
‘Did he just say “measurement impossible” . ?’
‘Does that mean that man is an S-ranker?’
‘I’ve only heard of it in stories . To think that I would actually see it in person…’
gulp
The representatives from the small Guilds gulped as Jinwoo turned to leave . However, not one of them could approach him .
“ . ”
“ . ”
If a C-ranker appeared, a fierce competition would’ve taken place among the representatives to try and recruit the Hunter . Many of them would line up just to get a word or two in .
And if a B-ranker appeared? The representatives would practically fight each other to offer all kinds of deals, benefits and conditions to the Hunter . To an outside observer, it would look like a war . Every once in a while, B-rankers who wanted to be the head of a snake instead of the tail of a dragon would be won over .
However, A-rankers were a different story . They were the special existences that could find a home in large Guilds and ignore small and middle Guilds . Of course, they would obviously be placed in primary raiding group of any large Guilds they enter, and through their jobs, clear high-level Dungeons and earn an unimaginable amount of money . That was not all . If they wanted, A-rankers could easily make their own Guilds and become the Guildmaster . And so, they had no reasons to give the time of day to small and middle Guilds .
And then…
A magic power that cannot be measured means an S-ranker .
S-rank, not A-rank .
It was the difference of a single letter, but it meant that he was among the nine highest-ranking Awakened Beings of South Korea .
‘Well, if you include him, it’s ten now, right?’
‘The tenth S-rank Hunter…’
He was not a target small and middle Guilds could even think of recruiting .
gulp
All they could do is silently gulp repeatedly . He was truly a treasure just out of their reach .
However,
‘Wait…’
‘Is this not my chance?’
Some of the more cunning scouts thought of a dastardly idea . What if they reported the information of an S-rank Awakened Being to a large Guild for money? The S-rankers’ contractual fees surmounted to several tens of billions at minimum . If they could obtain just 1% of that fee as a finder’s fee, they could retire then and there . And if they were lucky, they could even act as that man’s personal manager . Didn’t some S-rank Hunter’s personal manager receive a Porsche as a birthday present?
‘ . Should I try it?’
‘If it’s me, I could do it…’
‘I should just close my eyes and do it . ’
In that short time, many of the scouts became brazen . A failure would result in a moment’s humiliation, while a success would change their lives . The scouts glanced at each other and slowly began to make their move . Suddenly, someone pointed at the building’s entrance,
“Huh? Over there…!”
Was it because they were all holding their breath in anxiety? Everyone turned to where the man was pointing . The eyes of the scouts opened wide .
“Holy shit!”
Every single person recognized the fashionable man entering Building B .
“Choi… Choi Jongin?”
“Why is the Guildmaster of ‘Hunters’ here?”
Choi Jongin ignored their attentions, lightly pressed his clothes, then walked over to Jinwoo .
‘He can’t have arrived after receiving a word . It’s too soon . ’
‘Was that man already contracted with Hunters Guild?’
‘Did Hunters Guild already know? Man, the number one Guild sure is something else . ’
The scouts nodded in understanding . It was a good thing that they did not approach Jinwoo . If they were found out by Choi Jongin in the process, what would’ve happened to them? The situation finally looked like it was about to resolve .
‘The picture looks completed with Choi Jongin here . ’
‘Damn, this is so cool . ’
‘To think that Hunters Guild’s Guildmaster himself would come… Man, the S-rankers sure are in a different class . ’
While disappointed, the scouts watched the meeting between the Guildmaster of South Korea’s number one Guild and the fresh S-rank Awakened Being in anticipation .
Meanwhile .
Jinwoo saw Choi Jongin’s arrival and sighed in relief .
‘Thank god . ’
He was confused on what to do when all the attention was on him . Thankfully, Choi Jongin had appeared and took that attention away . Jinwoo silently thanked the man in his heart and walked past him .
Choi Jongin was taken back .
‘Huh? Wait, this isn’t it . ’
The man quickly stopped Jinwoo,
“Excuse me,”
Jinwoo stopped and turned around,
“ . ?”
Looking at Jinwoo, a light appeared in Choi Jongin’s eyes,
‘This man is the tenth…’
He had told the director that he wanted to come along and see what the fuss was about, but truthfully, Choi Jongin was well aware what had happened here .
‘They were so loud going on about “measurement impossible”, how could I not hear?’
Because of that, he had obtained a large windfall . The man in front of him was an S-ranker . An S-ranker! If Choi Jongin could bring this man to Hunters Guild, his Guild would have three S-rank Hunters . Forget Korea, they could stand shoulder to shoulder with the best Guilds across the entire world . He could not help but drool at the thought .
‘There’s no need for me to borrow a measuring device . ’
Just meeting Jinwoo’s eyes, Choi Jongin could feel the other’s power . He was undoubtedly the highest-ranking Hunter . There was no need to wait three days .
Choi Jongin started with a refreshing smile,
“I am the Hunters Guild’s Guildmaster, Choi Jongin . ”
Jinwoo already knew as much . The man’s face was plastered all over the media . He was curious on why this celebrity was talking to him all the way at the Association, but he did not have the time to ask . Jinwoo glanced at the clock on the wall,
‘It’s 5:50 right now . ’
Taking the travel time into account, he barely had any time . When Jinwoo put on an impatient expression, Choi Jongin continued, a little flustered,
“Ah, well… I heard that you just received your ranking . ”
“Yep . ”
“Do you perhaps have a Guild in mind to join?”
“Nope . ”
With that reply, a bright smile appeared on Choi Jongin’s face .
‘Yes, this is good . ’
He already imagined their future together . “One of the top three Guilds of the world, Hunters Guild . ” Oh how sweet that sounded in his mind . Starting today, it was no longer a pipe dream .
‘You’re mine . ’
Choi Jongin calmed his heart and spoke the words that he believed would go down in history,
“I wish to have a discussion with you about that . Could you please spare the time?”
“Can’t, sorry . ”
And with that, Jinwoo left the building .
“ . ”
Everything happened so quickly . Choi Jongin was so shocked that he couldn’t even stop Jinwoo . The Association employees and the scouts realized what happened and fell into chaos .
“What?”
“Did Guildmaster Choi Jongin just get rejected?”
“He just got ignored just like that!”
The interior of the building became loud with chatter . Choi Jongin did his best to keep his composure and turned to his side,
“Director Park . ”
“Hmm?”
The director replied with an awkward expression .
“Did I just mess up my introduction?”
“Er… That’s… I’m not sure . ”
Of course, the director had heard every word from start to finish . However, this was not a time to reply so directly . When the director closed his mouth, the dumbfounded Choi Jongin scratched the side of his face .
‘Did I come on too strong…?’
Well, there was no need to be disappointed . He definitely was ahead of the other Guilds on this .
‘The only one who knows about the new S-ranker is me . ’
The remeasurement would be three days from now . He had time until the official announcement .
‘I have to plan a meeting with him somehow until then…’
Was there a good method? While in contemplation, Choi Jongin discovered someone running with all of his might toward the Association building .
‘ . Wait, that’s?’
It was a familiar face . When the man opened the glass doors and entered the building, Choi Jongin greeted him with shock,
“Guildmaster Baek, why are you…?”
Baek Yoonho also saw Choi Jongin and opened his eyes wide in surprise,
“Guildmaster Choi?”
Choi Jongin quickly read Baek Yoonho’s expression .
‘That’s the face of a man who got caught…’
It couldn’t have been that the man had come here after receiving word . The timing didn’t fit .
‘Baekho’s offices are too far from the Hunter Association…’
That means… Baek Yoonho knew from the start what would happen here .
‘Was he aware of that man’s existence?’
No, if that was the case, Baek Yoonho would not have simply let him undertake a retest like this .
‘If I was aware of such an existence, I would’ve made a contract before letting him take a retest . ’
In that moment, the scattered pieces of the puzzle began to assemble in Choi Jongin’s head .
‘ . Could it be?’
Baekho Guild . The incident during the new recruit training . Red Gate . The unknown helper .
. And this new S-rank Awakened Being .
“Looks like Baekho received help from someone that they don’t want to reveal . ”
“A new recruit that didn’t even receive a rank yet? Or a criminal that couldn’t reveal their identity?”
Everything fell into place
. Found him .
‘It was that man . ’
As a sign of just how hard he ran here, Baek Yoonho was panting . Choi Jongin realized it wasn’t that Baek Yoonho had left the man alone; Baek Yoonho couldn’t prevent the man from taking the retest . Choi Jongin turned to Baek Yoonho with a smile,
‘You didn’t get him . ’
I’m different than you .
‘Thank you for the opportunity . ’
Without saying anything to the man, Choi Jongin walked past Baek Yoonho .
Baek Yoonho looked around . He did not see Jinwoo .
‘Was I too late?’
Baek Yoonho started at Choi Jongin disappearing in the distance and sighed deeply .
“Sigh-”
Of all the days the Hunters Guild’s master could be here . Baek Yoonho scratched the back of his head and uttered,
“Things just got complicated . ”
Seoul’s Ilshin Hospital’s patient visiting hours ran until 8 p . m .
“You’re patient Park Gyunghae’s guardian?”
“Yes . ”
“Visitation should be fine . You’re aware of the visiting hours?”
“Yes, I’m aware . ”
Jinwoo headed to the hospital room where his mother was . Because he had hurried, he managed to arrive in time .
After opening the door and entering, Jinwoo saw his mother . The woman was lying on the bed as if sleeping . Her son quietly sat down next to her .
‘Just looking at her like this, it feels like she could wake up any minute…’
The sleep which you would not wake up from . It was an illness that appeared after the Gates started appearing .
‘They say there’s at least ten other patients with the same condition here . ’
Jinwoo gently held his mother’s hand .
“Mom…”
Fortunately, life support devices empowered by magic cores protected her body from wasting away, even after years of unconsciousness . However, magic cores were expensive . Just the monthly cost of the magic cores used to run the machine was in excess of five million won . Without the support provided by the Association, it was not an amount that a man in his 20s could pay . Thanks to working as a Hunter under the Association, Jinwoo was able to hold his mother’s hand like this .
But things were different now .
Instead of being just satisfied with the fact that his mother was alive, Jinwoo obtained the means to cure her .
The Holy Water of Life .
The cure gifted by the System .
Whether or not it would work was for the future . Right now, the priority was to make it .
“I’ll save you . ”
The mother that held the family together with her weak body after their father had disappeared . They would soon be able to see their mother whole again .
‘Please wait until that time . ’
How long did he stay by his mother’s side? Some time later, Jinwoo finally got up . After a long visitation, Jinwoo silently left the patient’s room and closed the door . When he turned around, he ran into a familiar face .
“As I thought… were you the man who took care of the magic beasts in the Double Dungeon that day?”
A deep voice . Sharp eyes .
It was the Hunter Surveillance Department (HSD) Chief Woo Jincheol .
Jinwoo did not reply . He neither had the reason nor the desire to do so . Instead, he asked a question,
“How did you know I was here?”
“I’ve theorized the places where Hunter-nim might go . When I contacted the hospital, they told me you were here . ”
The ones who provided for his mother’s hospital bills were the Association .
‘Well, not anymore . ’
Perhaps the first place they would’ve looked for him was here . It was a speed fitting of the HSD . Jinwoo smiled widely and spoke,
“Are you here to ask me about that day again?”
Woo Jincheol shook his head,
“No, sir . ”
“Then why?”
“There is someone who would like to meet with Hunter-nim . Could you please accompany me?”
Hunter Association’s Hunter Surveillance Department .
The HSD’s primary function was to monitor and arrest any wrong-doing Hunters . To the Hunters, they weren’t exactly a friendly existence . Jinwoo was the same,
“Is that an order?”
“No, sir . ”
Woo Jincheol removed his sunglasses and bowed his upper body in a near 90-degree angle,
“It is a request . ”
“ . ”
To think that the fierce-looking Woo Jincheol would be this respectful to him . After thinking for a moment, Jinwoo decided he would at least find out who it was,
“Who’s the person that wants to meet with me?”
Woo Jincheol raised his head,
“The Hunter Association’s President Go Gunhee-nim . ”
Woo Jincheol gestured to a corner at the end of the hall .
“The association president is here . ”


Wikipedia says:
A computer is a device that can be instructed to carry out arbitrary sequences of arithmetic or logical operations automatically.
Read more about computer on https://en.wikipedia.org/wiki/Computer


READ THE DIRECTIONS AND WARNINGS, INCLUDING THOSE PRINTED
ON THE INSIDE OF THE CARTON, BEFORE TAKING THIS PRODUCT.
 These may be signs of a serious condition. See your doctor.
- with other acid reducers
Ask a doctor before use if you have
- frequent chest pain
- frequent wheezing, particularly with heartburn
- unexplained weight loss
- nausea or vomiting
- stomach pain
- had heartburn over 3 months. This may be a sign of a more serious condition.
- heartburn with lightheadedness, sweating or dizziness
- chest pain or shoulder pain with shortness of breath; sweating; pain spreading to arms, neck or shoulders; or lightheadedness
Ask a doctor or pharmacist before use if you are taking
- theophylline (oral asthma medicine)
- warfarin (blood thinning medicine)
- phenytoin (seizure medicine)
If you are not sure you are taking one of these medicines, talk to your doctor or pharmacist.
Stop use and ask a doctor if
- your heartburn continues or worsens
- stomach pain continues
- you need to take this product for more than 14 days
If pregnant or breast-feeding,
ask a health professional before use.
Keep out of reach of children.
In case of overdose, get medical help or contact a Poison Control Center right away.
Directions
- adults and children 12 years and older:
- to relieve symptoms, swallow 1 tablet with a glass of water
- to prevent symptoms, swallow 1 tablet with a glass of water right before or any time up to 30 minutes before eating food or drinking beverages that cause heartburn
- do not take more than 2 tablets in 24 hours
- children under 12 years: ask a doctor
Other information
- store at 15-30ºC (59-86ºF)
Inactive ingredients
cellulose, corn starch, hypromellose, magnesium stearate, polyethylene glycol, polysorbate 80, povidone, sodium lauryl sulfate, sodium starch glycolate, titanium dioxide
Questions or comments?
call toll-free 1-800-482-4394 (English/Spanish) weekdays
PRINCIPAL DISPLAY PANEL
Tagamet HB 200
Cimetidine Tablets 200 mg/Acid Reducer
Read and retain the important drug interaction
warnings printed on the inside of this carton
50 TABLETS (50 DOSES)
Medtech Products Inc.


This organization process is based on the Atlanta Community Engagement Playbook. Further, it's designed to assist in building higher levels of community engagement wherein residents own and take leadership over civic change, rather than just observing or even providing feedback. Community organization practices help build collective power to identify and solve shared issues. Below are three principles for guiding the organization process.
Create a community-led vision for change; develop plans for achieving short-term and long-term goals and act on them; assess your context and capacities; build relationships and locate partners that will help you expand your reach.
Create an inviting and open governance structure, platform, and vision that community members will rally around; work together with other groups to reach common goals; share power; work intentionally to bridge divides.
Be creative in your approach; weave elements of play, fun, culture, and humor into your practices; experiment with new and surprising methods to reach people and address the issues that matter to you.
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{% assign uri = request.request_uri | split: 'node=' %} {% assign node = uri[1] %} {% assign service = provider.services[node] %} {% assign spec = service.api_specs.first %} {% for item in current_account.applications %} {% if item.service.id == service.id %} {% assign sevID = item.service.id %} {% assign application = item %} {% assign key = application.user_key' %} {% endif %} {% endfor %}
Value of item.service.id
{{sevID}}
You are able to work with this API and excerise it's methods with the back end mock data. For your convenience the configured security profile is based on user key versus OIDC. This is to make it easier to rapidly experiment with the APIs without having to generate a new token per session. Applying the security profile in production would not be appropriate.
A key has been generated for your account to access this API. Setting the user-key
header with {{key}}
value will enable you to access this API.


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{% load static %}
API CLINIC
API CLINIC
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Test:
prefers-color-scheme
Test for the CSS media query feature
prefers-color-scheme
:
Browser supports
prefers-color-scheme
:
yes
no
Browser exposes
prefers-color-scheme
as:
no-preference
light
dark
Day (changes in light scheme)
Day (initial)
Day (changes in dark scheme)
Night (changes in light scheme)
Night (initial)
Night (changes in dark scheme)


Preparation time
less than 30 mins
Cooking time
30 mins to 1 hour
Serves
Serves 4
Preheat the oven to 180C/360F/Gas 4.
Melt half of the butter in a deep ovenproof frying pan over a medium heat. Add the sliced onion and fry until softened, then remove from the pan with a slotted spoon.
Place a layer of the potato slices into the same pan and fry for a few minutes until golden-brown.
Add a layer of the fried onion, then add another layer of the potato slices.
Continue to layer onion, potato, onion, until you are ready to add the final layer of potato.
Add a layer of smoked salmon and finish with a layer of potato.
Melt the remaining butter in a separate pan. Pour the melted butter over the layers of potatoes, salmon and onions.
Place the pan into the oven and bake for 40-45 minutes, or until cooked through. Towards the end of the cooking, preheat the grill to its highest setting.
Before serving, grate the cheese over the top and finish under the grill until the cheese is melted and golden-brown.
For the dressing, whisk together the yoghurt, lemon zest and juice and dill in a bowl. Season, to taste, with salt and freshly ground black pepper.
To serve, cut out wedges of the pan haggerty from the pan and place onto plates. Top with curled slices of smoked salmon and drizzle with the dressing.


--- layout: page title: Lean Prover Zulip Chat Archive permalink: archive/113488general/88248finsuppscalardiamond.html ---
It seems that there are two ways to make finsupp α ℤ
into a ℤ
-module, one via add_comm_group.module
and the other via finsupp.module
, and that these are not defeq. Is there a standard way to deal with this?


Blacksmith Silvera:
Hello! I'm Blacksmith Silvera. Keeping yourself warm in this cold weather? Ha ha! I'm very busy myself these days dealing with so many test candidates for Artisan. Perhaps are you also an applicant? Or are you here to learn skills? Something else?
Craft a Dualsword.
Craft an item.
Learn skills.
Ask about Skill Enchanting.
Ask about the local lord and tax rate.
Quest


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Methods
* (Rake::FileList)
<=> (Rake::EarlyTime)
<=> (Time)
== (Rake::FileList)
>> (Rake::PseudoStatus)
[] (Rake::TaskArguments)
[] (Rake::TaskManager)
[] (Rake::NameSpace)
[] (Rake::FileList)
[] (Rake::Task)
add (Rake::FileList)
add (CompositePublisher)
add (Rake::CompositePublisher)
add_description (Rake::Task)
add_import (Rake::Application)
add_loader (Rake::Application)
add_target (Rake::RuleRecursionOverflowError)
append (Rake::InvocationChain::EmptyInvocationChain)
append (Rake::InvocationChain)
append (Rake::InvocationChain)
arg_names (Rake::Task)
backticks (Rake::AltSystem)
before_running_rdoc (Rake::RDocTask)
calculate_exclude_regexp (Rake::FileList)
clear (Rake::TaskManager)
clear (Rake::Task)
clear (Rake::Task)
clear_actions (Rake::Task)
clear_exclude (Rake::FileList)
clear_prerequisites (Rake::Task)
clone (Rake::Cloneable)
close (Rake::FtpUploader)
collect_file (Test::Unit::Collector::Dir)
collect_tasks (Rake::Application)
comment= (Rake::Task)
connect (Rake::FtpUploader)
const_missing (Module)
const_warning (Rake::Application)
copy (Sys)
copy_files (Sys)
create_rule (Rake::Task)
create_rule (Rake::TaskManager)
current_scope (Rake::TaskManager)
date (Rake::FtpFile)
define (Rake::PackageTask)
define (Rake::GemPackageTask)
define (Rake::TestTask)
define (Rake::RDocTask)
define_module_function (Rake::AltSystem)
define_task (Rake::Task)
define_task (Rake::TaskManager)
delete (Sys)
delete_all (Sys)
desc (lib/rake.rb)
directory (lib/rake.rb)
directory? (Rake::FtpFile)
display_prerequisites (Rake::Application)
display_tasks_and_comments (Rake::Application)
dup (Rake::Cloneable)
dynamic_width (Rake::Application)
dynamic_width_stty (Rake::Application)
dynamic_width_tput (Rake::Application)
each (Rake::TaskArguments)
egrep (Rake::FileList)
enhance (Rake::Task)
enhance_with_matching_rule (Rake::TaskManager)
exclude (Rake::FileList)
exclude? (Rake::FileList)
execute (Rake::Task)
existing (Rake::FileList)
existing! (Rake::FileList)
exited? (Rake::PseudoStatus)
ext (String)
ext (Rake::FileList)
file (lib/rake.rb)
file_create (lib/rake.rb)
find_rakefile_location (Rake::Application)
find_runnable (Rake::AltSystem)
for_files (Sys)
gem_file (Rake::GemPackageTask)
gsub (Rake::FileList)
gsub! (Rake::FileList)
handle_options (Rake::Application)
have_rakefile (Rake::Application)
import (Rake::FileList)
import (lib/rake.rb)
in_namespace (Rake::TaskManager)
include (Rake::FileList)
indir (Sys)
init (Rake::Application)
init (Rake::GemPackageTask)
init (Rake::PackageTask)
inspect (Rake::TaskArguments)
inspect (Rake::Task)
install (Sys)
intern (Rake::TaskManager)
investigation (Rake::Task)
invoke (Rake::Task)
invoke_task (Rake::Application)
is_a? (Rake::FileList)
kind_of? (Rake::FileList)
link (Sys)
link_files (Sys)
load (Rake::MakefileLoader)
load (Rake::DefaultLoader)
load_imports (Rake::Application)
load_rakefile (Rake::Application)
log (Sys)
lookup (Rake::TaskArguments)
lookup (Rake::TaskManager)
makedirs (Sys)
makedirs (Rake::FtpUploader)
member? (Rake::InvocationChain)
member? (Rake::InvocationChain::EmptyInvocationChain)
message (Rake::RuleRecursionOverflowError)
method_missing (Rake::TaskArguments)
mode (Rake::FtpFile)
multitask (lib/rake.rb)
name (Rake::Task)
namespace (lib/rake.rb)
needed? (Rake::Task)
needed? (Rake::FileTask)
needed? (Rake::FileCreationTask)
new (Rake::CompositePublisher)
new (SshDirPublisher)
new (CompositePublisher)
new (Rake::PackageTask)
new (Rake::FileList)
new (Rake::TaskArguments)
new (SshFilePublisher)
new (Rake::RDocTask)
new (Rake::RubyForgePublisher)
new (Rake::SshFilePublisher)
new (Rake::SshDirPublisher)
new (Rake::TestTask)
new (Rake::InvocationChain)
new (Rake::GemPackageTask)
new (Rake::RuleRecursionOverflowError)
new (Rake::FtpFile)
new (Rake::TaskManager)
new (Rake::Task)
new (Rake::PseudoStatus)
new (Rake::NameSpace)
new (Rake::Application)
new (Rake::FtpUploader)
new_scope (Rake::TaskArguments)
normalize (Rake::Win32)
nowrite (RakeFileUtils)
option_list (Rake::RDocTask)
option_string (Rake::RDocTask)
options (Rake::Application)
package_dir_path (Rake::PackageTask)
package_name (Rake::PackageTask)
parse_task_string (Rake::Application)
path (Rake::FtpFile)
pathmap (Rake::FileList)
pathmap (String)
pathmap_explode (String)
pathmap_partial (String)
pathmap_replace (String)
quiet (Sys)
quote (Rake::RDocTask)
rake_extension (Module)
rake_require (Rake::Application)
rake_system (Rake::Win32)
rakefile_location (Rake::Application)
reenable (Rake::Task)
repair_command (Rake::AltSystem)
resolve (Rake::FileList)
resolve_args (Rake::TaskManager)
ruby (FileUtils)
ruby (Sys)
rule (lib/rake.rb)
run (Rake::Application)
run (Sys)
safe_ln (FileUtils)
scope_name (Rake::Task)
set_arg_names (Rake::Task)
sh (FileUtils)
source (Rake::Task)
sources (Rake::Task)
split_all (Sys)
split_all (FileUtils)
standard_exception_handling (Rake::Application)
standard_rake_options (Rake::Application)
stopped? (Rake::PseudoStatus)
sub (Rake::FileList)
sub! (Rake::FileList)
symlink (Sys)
symlink? (Rake::FtpFile)
symlink_files (Sys)
synthesize_file_task (Rake::TaskManager)
system (Rake::AltSystem)
system_dir (Rake::Application)
tar_bz2_file (Rake::PackageTask)
tar_gz_file (Rake::PackageTask)
task (lib/rake.rb)
task_defined? (Rake::Task)
tasks (Rake::NameSpace)
tasks (Rake::TaskManager)
tasks (Rake::Task)
tasks_in_scope (Rake::TaskManager)
terminal_width (Rake::Application)
test_files= (Rake::TestTask)
tgz_file (Rake::PackageTask)
time (Rake::FtpFile)
timestamp (Rake::FileTask)
timestamp (Rake::Task)
timestamp (Rake::FileCreationTask)
to_a (Rake::FileList)
to_ary (Rake::FileList)
to_hash (Rake::TaskArguments)
to_i (Rake::PseudoStatus)
to_s (Rake::InvocationChain::EmptyInvocationChain)
to_s (Rake::TaskArguments)
to_s (Rake::EarlyTime)
to_s (Rake::FileList)
to_s (Rake::InvocationChain)
to_s (Rake::Task)
top_level (Rake::Application)
truncate (Rake::Application)
truncate_output? (Rake::Application)
tty_output= (Rake::Application)
tty_output? (Rake::Application)
unix?  (Rake::Win32)
windows? (Rake::Application)
with_defaults (Rake::TaskArguments)
zip_file (Rake::PackageTask)


Input image:
Output image preview:
Output data consists of rows from top to bottom, containing pixels sorted left to right.
Output format: JSON LTN
Output details: Simple Advanced (width, height, old filename)
Output: