Most people know that by using our laptops, phones and tablets, we're creating a wealth of data about ourselves. By connecting to social networks, using e-commerce, and enjoying many forms of entertainment, we record information about us as consumers - and corporations are buying and selling this information.
In Part One of her look into the market value of our personal data, Kathryn Lawrence asks whether in the future we'll be able to profit off our own invisible data stream. And in Part Two, she'll look at other, more tangible, human byproducts...
What is your personal data?
In order to understand how much your data is worth, you first have to figure out what that data is.
Data brokers pay for three types of data: volunteered data (such as social media profiles), observed data (such as location data from cell phones), and inferred data (the combination of volunteered and observed data that can supposedly predict your future behavior as a consumer).
But they can also find plenty of your personal data out for free, from public records, governmental databases, and other publicly available sources:
- Identification data (such as your name, address, email address)
- Sensitive data (such as birthdays and social security numbers)
- Court and public record data (such as criminal records and marriage licenses)
- Home and neighborhood data (such as real estate listings)
- Vehicle data (such as vehicle registrations and insurance)
- General interest data (such as charitable donations)
- Financial data (such as credit reports)
- Travel data (such as frequent flyer information)
- Purchase behavior data (such as what you buy and how you pay for it)
- Health data (such as over-the-counter drug purchases and “ailment and prescription online search propensity”)
So the next time you end up on WebMD after Googling the symptoms of a common cold and managing to convince yourself it’s actually brain cancer, remember that a data broker somewhere is also laughing at your hypochondria.
And what are they using it for? “People search products,” which can be used to locate individuals for various reasons, are the least profitable (about a $52 million dollar industry as of 2012).
Then there are “risk mitigation products,” which use personal data for fraud detection and credit information – this industry is worth over $177 million.
And finally, marketing products, the largest industry trading our personal data (worth $196 million) which everyone should be familiar with – they need to know who you are, where you live, and what you like, to make effective advertisements and get you to buy more stuff!
What is your data worth?
This dense cloud of personal data that we generate over our lifetimes is worth surprisingly little. According to a 2015 study by Western Digital, a data storage company, 5,000 consumers valued their data on average at £3,241 (that’s $4,165.33 today).
Those 5,000 consumers would be crushed to know that all together their personal data would be worth about $2.50. According to a Financial Times report in 2013, 1,000 people’s personal data collectively costs $0.50, and an individual’s age, gender, and location is worth only approximately $0.0005 per person.
For more specific information, such as the names of people who suffer from a particular disease, an individual name could cost up to $0.30.
Of course wherever a legitimate market exists, there is also a black market, and the value of data such as health records, identification, and credit card info on the dark web is much higher.
Login and password data for premium content services, such as Netflix, is worth about as much as a whole person’s personal data on the open market: $0.55 (and who hasn’t given away that information for free at least once?)
Stolen credit or debit card numbers fetch $20-35, which seems small for the amount of havoc one could wreak with that information. Health records on the dark web can go for $50 apiece and online banking login information depends on how much money is in your account, but can retail between $190-$1,000.00.
Can you sell your data yourself?
Obviously most people won’t ruin their own lives by selling their own credit card or banking info on the dark web, but a service does already exist to allow you to personally profit off of legal data sales.
Datacoup is the “world’s first personal data marketplace,” which will help you collect and sell your data for cash.
According to several sources, you can earn about $8 per month selling your personal data via Datacoup, and currently the service is only available in the US. You must install certain applications to allow Datacoup to monitor and collect this data, which people who are already trying to gain control over their personal data may be averse to.
There are also two notable examples of individuals who have taken a more radical approach to selling their own personal data: a Dutch student named Shawn Buckles, and a Brooklyn-based engineer named Federico Zannier.
From May 6th to June 5th of 2013, Zannier opened a Kickstarter called “A bite of Me” with a goal of $500, to sell a painstakingly collected arrangement of personal data.
He states on the Kickstarter’s campaign page:
“Since February, I have been recording all of my online activity (the HTML pages I have visited, the position of the mouse pointer, a screenshot of what I was looking at, a webcam image of me looking at my computer, my GPS location and a log of the apps that I was using)... I'm selling this data for $2 a day. If more people do the same, I'm thinking marketers could just pay us directly for our data. It might sound crazy, but so is giving all our data away for free.”
Geolocation data visualization by Federico Zannier via Kickstarter
For $2, backers would receive one day’s worth of this data; $25 for a week of his data and access to his custom tools to collect and analyze their own data – and for a pledge of $200 or more, access to the entire data archive, 7GB of information including:
“50,000 files, which include some 2,800 websites I visited; 20,500 screen shots; 17,000 webcam images; a recording of my mouse pointer movements; my GPS location; an application log of 23,000 lines of text; an iPhone app and a Chrome Extension for tracking your own activity; a suite of tools for analyzing the data (which includes 50 bash, python and R scripts).”
He got 213 backers who pledged $2,733 in total, and has not supplied any further updates on his personal website http://federicozannier.com (which now belongs to a Japanese SIM card marketing company) or http://myprivacy.info – a now-defunct site that previously hosted visualizations of his personal data.
Over $2,000 is not a bad take compared to Shawn Buckles’ profit: he set up a “Data for sale” website with an online auctioning system to sell his personal data in April of 2014.
Tech publication The Next Web was the highest bidder and paid him €350 for his personal profile, location records, train records, personal calendar, email conversations, online conversations, thoughts, consumer preferences, and browsing history.
The Next Web planned to use his data to illustrate the issue of privacy at their 2014 The Next Web Conference, and Buckles donated the profit for “selling his data soul” to Bits For Freedom, a Dutch digital rights association. All of it seems like a noble demonstration, but since he included information such as email and online conversations with others, he has admitted the project lost him some friendships.
Buckles also released a pamphlet on digital privacy containing some food for thought, as we contemplate what it means to create, monetize, and define ourselves by our data:
“Privacy is the right to live unobserved and undisturbed, and to decide for oneself what information one shares and with whom. Privacy is based upon a personal enviroment [sic] in which we can seclude ourselves. Privacy is essential in shaping one's identity.
“But privacy is gone. We gave it up, for no other reason but the thought that it's useless. Why don't we protect our rights? Our ancestors fought fiercely for them -because they were oppressed.
“‘I've got nothing to hide’
"This is a fallacy. What will happen if a Hitler takes power tomorrow? Nobody'd be safe. He wouldn't only know our location, networks and believes, also he could pretty accurately predict our behavioural patterns and our patterns of resistance. To flee or hide would be impossible. We'd be powerless. Whether we have something to hide is defined by the context in which we live.
Their [sic] will come a day we need the right to privacy. Maybe that day's today. Are we free? Do we live in peace?
That depends on who you regard as your friend. And more importantely [sic]: how your friends regard you.”
While we live in a society where we are constantly interconnected by technology, our personal data choices also impact those around us.
It seems ironic that part of Buckles’ privacy manifesto warns against the imprisonment of technology and links to Edward Snowden’s TED talk on “How we take back the internet”, while espousing the dangers of governmental control of our personal data - but through this project he has not only participated in his own self-commodification, but involved unwilling participants as well.
Where the personal meets the political in the monetization of data seems to be an always shifting line, and the old adage of “if you can’t beam ‘em, join ‘em” rings hollow but true in both Buckles and Zannier’s examples.
As people gain more awareness of what data is being constantly collected about them, hopefully we move towards a future in which people are more empowered and enriched (in knowledge and capital) by their personal data than enslaved by the combination of technology and global capitalism that produces this increasingly profitable market.
In Part Two, we’ll explore other human byproducts that you can sell yourself in the future today: from bodily fluids that are normally disposed of to your personal genetic code – and a woman who incorporated her entire existence.


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Scenario 2: The surviving coral community after 90 years wit ... |
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| Figure 4 |
Scenario 3: The relative coral cover in the year 2100 under ... |


Market Size
This article is Part 2 in a 4-Part series about business plans.
- Part 1 - Company Purpose
- Part 2 - This Article
- Part 3 - The Problem You Solve
- Part 4 - Product Timing
One of the questions you will be asked again and again when financing is, "How large is your market?" Market size is an incredibly important metric for measuring the opportunity of a startup.
In order to identify and calculate market size you need to first identify the customers you cater to. If you are b2b startup, who are you selling to? Who will sign off on the purchase.  Market sizes can be calculated using a top-down and bottoms-up approach. Both of these methods though are estimates. This is important to keep in mind while pitching.
Calculating Total Addressable Market
The TAM is calculated using a top down approach. This method is used for understanding how many users there are in the world which can use this product.
Let's say we are selling baby food online. The TAM would be the total number of internet users who have babies. There are 2.2 Billion internet users. Current birth rates sit around 20 per 1,000 people. So out of 2.2 Billion internet users, 2% have had babies in the past year. This makes our total addressable market at 44 Million people.
This calculation used unit market share. Rather than calculating units, you could also calculate dollar market share. Dollar market share is the total amount of money waiting to be captured.
Calculating Serviceable Available Market
The SAM represents how much of the TAM you can actually serve. It is used as the bridge between how many users there are and how many users would actually use your product or service. If you are selling baby food online, how many people would actually purchase baby food online? The result of this calculation will be your SAM.
Calculating Share of Market
The SOM is used to figure out how much of the market isn't captured. This takes a lot of competitive analysis and hopefully some of the metrics are available to you. You need to understand who the incumbents are and how much market share they control. Take into consideration the countries they serve and their sales and distribution channels.
Once you understand the current market, you take the SAM and subtract the already served market from it. This result is the Share of Market you can capture. The importance of share of market cannot be overstated. In order to have a strong forecast for what you can actually accomplish you need to understand the competitive landscape and how much of it your competition have already captured.
Assumptions, Good Data, and New Markets
Remember, these calculations are estimates. Calculated guesses as to how large the opportunity is. When pitching these numbers realize you will be challenged on your assumptions. The data you use should be rock solid and unquestionable. If you use rock solid data, ney-sayers will only be able to challenge your assumptions and not the data you base your assumptions on.
Don't pitch investors with the concept of being in a "new" market. Although it seems venture capitalists should be investing in new markets, there is actually too much risk involved. If you were to tell this to a hedge fund manager, he would laugh you out of the room. The purpose of an limited partner putting money into a venture capital fund is to invest in emerging markets. The venture capitalists as investors though are still trying to back there bets and invest in opportunities which are known.
If you think you are in a new market, which hasn't been defined, it is your responsibility as an entrepreneur to demonstrate how you fit into current markets.
Is Our Market Large Enough to Obtain Capital?
Just because you have a hard problem to solve with paying users, doesn't mean it can be a venture backed business. Venture capitalists require really large markets in order to make profits. Although you could be sitting on an easy $50mm or $100mm per year opportunity, venture capital will have no problem telling you no.
In order to get venture backing consumer markets should be at least 1B potential users. With the amount of users available to you, you can get a lot of people using your products. A lot of people means a lot of eyes to see ads.
Business markets (B2B), by definition, won't have the same size of opportunity as consumer-based businesses. Those business however make up for it in average sale price. The cost of having a direct sales or direct marketing team however needs to be cost effective.
Your market size is the most important part of your investor slide deck. Make sure the answer to your market-size question is data backed and rock solid.


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We deploy Structured cabling, Firewalls, IDS (Intrusion Detection System), IPS (Intrusion Prevention
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Over the past month I have smoked salvia extract about 12 times. Since I began I've noticed symptoms that I can only describe as HPPD perhaps it is because I smoked a lot of it in a short period of time or maybe Iím just susceptible to such things. Anyway the symptoms are Objects seem much bolder and brighter especially at long distance, when I look at blank white surfaces I can see a pattern of little spots and shapes that are very noticeable, (I see this much more strongly when I trip), in addition I can attain a sort of high/tripping state simply by focusing on objects-something I could never do before. I don't know if this is just me or something more common although there is one other report describing much the same thing. While these symptoms donít bother my they are definitely noticeable.
It may have occurred because I smoked rather often for a short period of time trying to attain a true breakthrough because I have fairly high tolerance. Either way its still a great herb and my last trip was an incredible one.
Experience Reports are the writings and opinions of the individual authors who submit them.
Some of the activities described are dangerous and/or illegal and none are recommended by Erowid.


Довідкова та професійна література для користувачів, бізнес-експертів, аналітиків операційного програмного забезпечення та програмістам¶
Note
Якщо ви бажаєте доповнити цей перелік або прокоментувати будь-яку з перелічених тут книжок чи посібників - звертайтесь до мене, Паліхова Антона. При наявності часу для кожної книги буде сформовано опис на українській.
Також дивись ОСНОВНІ КНИЖКИ РОСІЙСЬКОЮ: library/books-russian.md
Основные книги на английском языке¶
-
Andreas Luszczak (auth.) - Using Microsoft Dynamics AX 2012 - Updated for Version R3 (2015, Vieweg+Teubner Verlag).pdf- DOWNLOAD PDF
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Simon Buxton, Mat Fergusson. Mastering Microsoft Dynamics AX 2012 R3 Programming - English - A comprehensive guide to developing maintanable and extendable solutions with Microsot Dynamics AX 2012 - DOWNLOAD RAR
5 Mohamed Aamer. Microsoft Dynamics AX 2012 R3 Financial Management - English - Boost your accounting and financial skills with Microsoft Dynamics AX 2012 R3 - DOWNLOAD PDF
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Mohammed Rasheed, Erlend Dalen. Learning MS Dynamics AX 2012 Programming - English - Develop and customize your very own Microsoft Dynamics AX solution quickly and efficiently - DOWNLOAD PDF
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The Microsoft Dynamics AX Team-Inside Microsoft Dynamics AX 2012 R3 - DOWNLOAD AZW3
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Mohamed Aamer-Microsoft Dynamics AX 2012 R3 Financial Management-Packt Publishing (2015) - DOWNLOAD PDF
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Pocius M.-Microsoft Dynamics AX 2012 R3 Development Cookbook - English - The book’s content is presented in nine chapters that cover various aspects of Dynamics AX.
Chapter 1, Processing Data, focuses on data manipulation. It explains how to build data queries, how to check and modify existing data, how to read and write external files, and how to use date effectiveness. Chapter 2, Working with Forms, covers various aspects of building forms in Dynamics AX. In this chapter, dialogs and their events are explained. Also, various useful features such as splitters, tree controls, and checklists are explained here. Chapter 3, Working with Data in Forms, basically supplements Chapter 2, Working with Forms, and explains about data organization in forms. Examples in this chapter include instructions about how to build filter controls on forms, process multiple records, and work with images and colors. Chapter 4, Building Lookups, covers all kinds of lookups in the system. The chapter starts with a simple, automatically generated lookup, continues with more advanced ones, and finishes with standard Windows lookups, such as the file selection dialog or color picker. Chapter 5, Processing Business Tasks, explains the usage of the Dynamics AX business logic API. In this chapter, topics such as how to process journals, as well as purchase and sales orders are discussed. Other features such as posting ledger vouchers, modifying transaction texts and creating electronic payment formats are included as well. Chapter 6, Integration with Microsoft Office, shows how Word, Excel, Outlook, and Project applications can be integrated with Dynamics AX. Chapter 7, Using Services, explains how to use services in Dynamics AX. The chapter covers standard query, metadata, and document system services. It also demonstrates how to create custom services and how to consume external services. Chapter 8, Improving Development Efficiency, presents a few ideas on how to make daily development tasks easier. The chapter demonstrates how to build code templates, modify the tools and the right-click context menus, use search in development projects, and customize the Personalization form. Chapter 9, Improving Dynamics AX Performance, discusses how system performance can be improved by following several simple rules. The chapter explains how to calculate code execution time, how to write efficient SQL statements, how to properly cache display methods, and how to use Dynamics AX Trace Parser and SQL Server Database Engine Tuning Advisor.
- Програмний код для Microsoft Dynamics AX 2012 Development Cookbook - xpo/zip
Генератор финансовых отчетов - информационное письмо DOCX
Інші книжки¶
Dynamics AX 2012 Blueprints: Developing a Product Approval Workflow Paperback – November 14, 2013
Microsoft-Dynamics-AX-2012-R3-Financial-Management.epub
Hirwani, Mukesh-Developing SSRS reports for Dynamics AX-Packt Publishing (2013).epub
Hamilton S.-Warehouse Management using Microsoft Dynamics AX 2012 R3 (1).epub
Матеріали українською¶
Правила та процедури імпорту даних (Data import templates)
Матеріали англійською¶
White papers for application users¶
MkvS Dynamics AX 2012 White Paper - Configuring budget plan templates
MS Dynamics AX 2012 White Paper - Configuring budget planning
MS Dynamics AX 2012 White Paper - Shared financial data management.pdf
Strategies for using the budget planning analysis data cube in Microsoft Dynamics AX 2012
MS Dynamics AX 2012 Appliaction User Library and IT Professional Library¶
Документація по MS Dynamics AX 2012
Microsoft Docs - Budget plan cube (BudgetPlanCube) for Microsoft Dynamics AX 2012 R2 and R3
Mindaugas Pocius-Microsoft Dynamics AX 2009 Development Cookbook-Packt Publishing (2009).pdf
Mindaugas Pocius-Microsoft Dynamics AX 2012 Development Cookbook-Packt Publishing (2012).epub
Mindaugas Pocius-Microsoft Dynamics AX 2012 Development Cookbook-Packt Publishing (2012).pdf
Mindaugas Pocius-Microsoft Dynamics AX 2012 R3 Development Cookbook-Packt Publishing (2015).pdf
Mohamed Aamer-Microsoft Dynamics AX 2012 Financial Management-Packt Publishing (2013).epub
Mohamed Aamer-Microsoft Dynamics AX 2012 Financial Management-Packt Publishing (2013).pdf
MS Dynamics AX Shared Financial Data Management White Paper.pdf
Andreas Luszczak-Using Microsoft Dynamics AX-Springer (2016).pdf


---
creation_epoch:<PHONE_NUMBER>
lastmod_epoch:<PHONE_NUMBER>
categories: Security
title: 2WIRE router and strange default password choice
---
So I was recently upgraded for free from AT&T HSI DSL to AT&T U-Verse. They were discontinuing regular ADSL service in my area so I got a free equipment and upgrade to their VDSL at the same price with no contract (and no $100 equipment fee). Good deal and faster Internet upload speed :)
I received my new AT&T U-verse device, a 2WIRE 3600HGV. I was surprised at how big the thing is!
I noticed some interesting things about the default security settings:
- The default wireless encryption mode is WPA/WPA2 PSK with TKIP AND CCMP (AES)
- I prefer just WPA2 CCMP (AES), but this is much improved over a default of Open or WEP
- WPS is disabled be default which is a great benefit to avoid known vulnerabilities with it
- The router admin password is random for each device
- BUT it only consists of ten characters with values of 0-9
- Resulting in only 10^10 combinations
- Granted to brute force you have to hit the web interface, but if you could get 1,000/sec it would take you around 116 days
- The wireless password is random for each device
- BUT it only consists of ten characters with values of 0-9 (again!)
- Resulting in only 10^10 combinations
- Using off-line brute force you can just capture some packets and go at this thing fast
- This script author claims to have a setup that can do 35,000 keys / second. That's just about 80 hours (~3.3 days) to brute force the wireless key on modest hardware
- The password reset mechanism for the admin part of the modem just requires the default admin key
- If someone saw the default password changing it would not help. They could always reset whatever you program remotely.
- It would have been better if they required the reset button to have been pressed and held down instead
The forgot your password process:


Back-light Music LEDs
tl;dr
The LED lamp behind my monitor pulsates with the audio from my computer. Video is at the bottom.  My computer is running a python script which sends the arduino the value of brightness to set the lamp at, based on the audio output of the music.
PulseAudio -> python -> arduino -> LED lamp
Getting the audio output into python:
This was probably the most silly issue that I had to deal with, because it seemed so simple in terms of what I needed to do, but took a ton of trial and error and lots of failing. Let me save you the trouble. You may have heard of JACK. JACK is a pain, takes a lot of work, and for me it didn't work at all. Save yourself the trouble and stay away from JACK. I use PulseAudio for my sound system as it works with my USB headphones (they're virtual 7.1 surround sound and have drivers that only work on windows XP). Setting up my headphones is a pain, but worth it because of the fuzz (the part that goes over my ears is fuzzy which makes them extremely comfortable). Ok, enough background, here is the secret:
- Open Pulse Audio Volume control (pavucontrol).
- Open Sound Recorder.
- Start recording, and go to the "Recording" tab of the volume controller
- Click on the input, and change it to "Monitor of XXX" (where XXX is your audio device)
- Done! (Just remember to do this for the python script while running it for the first time)
Python and beat detection:
You can check out the code here. Basically it uses the pyaudio library to record audio, write streaming data chunks to a temporary wav file (this could be improved upon), and use some magic to get amplitude data from the wav file. Then it normalizes the amplitude over the 0-255 range of LED brightness for the arduino, smooths the curve slightly, and sends the amplitude over to the arduino at 115200 baud (not sure if this is too much/not enough, but it worked for me - 9600 baud hung because it was too slow).
Beat detection snippet (thanks Mr.Doob and Dean McNamee)
w = wave.open(WAVE_OUTPUT_FILENAME, 'rb')
summ = 0
value = 1
delta = 1
amps = [ ]
for i in xrange(0, w.getnframes()):
data = struct.unpack('<h', w.readframes(1))
summ += (data[0]*data[0]) / 2
if (i != 0 and (i % 1470) == 0):
value = int(math.sqrt(summ / 1470.0) / 10)
amps.append(value - delta)
summ = 0
tarW=str(amps[0]*1.0/delta/100)
# this method normalized the data and sends it to the arduino
sendVal(tarW)
delta = value
My normalization algorithm for the value consists of storing the last 100 values of data and dividing new data by the max of the last X values (all values before a reset) to get a value between 0 and 1, which I then multiply by 255 to get 0-255. After a period of low values (ie. silence), detected by the store of last 100 values, the minimum and maximum values reset to allow for a new song which may not fit the amplitude of the previous song. I smooth the data by averaging the current point with the previous point.
Arduino LED fading (pwm):
So the arduino UNO that I have has 6 pwm digital I/O pins, which allows me to dim LEDs attached to those pins. After that, just running an analogWrite() on them with a value between 0-255 will dim the LED accordingly. One thing I did have trouble with though was sending the 0-255 number over serial from python, which I fixed by using a buffer and made the python always write out 3 character strings of data and used the atoi() command (ascii to int) to get the values back out.
The lamp:
I hooked up 12 LEDs, 6 pairs of 2 LEDs hooked up in parallel connected to one of six pwm I/O pins. After lots of frustration regarding the illumination of the LEDs (I used a dremel to diffuse the LEDs, and ended up arcing them as shown below), I finally got it to work. I just can't let the arduino fall off because the wires going to it come out easily (design issue, but hey it works).
The result:
(yes I have 5 monitors, song: Bopalong, Kinobe)


---
layout: post
authors: ["Anelda van der Walt"]
title: "April 21 - 27, 2015: The People Behind Software Carpentry, Debating Scientific Software, Learning Objects, and Ally Skills Workshops. "
date: 2015-04-27
time: "13:30:00"
tags: ["Community"]
---
Highlights
-
Get to know the people behind Software Carpentry. First up: Matt Davis.
Conversations
-
A lively conversation about scientific software has been taking place on Titus Brown's blog, culminating (for now) in this post on popping the open source/open science bubble.
Recommendations
Details
-
Do you know how to help initiatives such as the Python Software Foundation
(and Software Carpentry Foundation)? Appreciation, empathy, mentorship, and persistance...
-
Are you ready to learn from participants the next time you teach
a Software Carpentry workshop?
How can instructors' learnings be used to produce game-changing insights for Software Carpentry?
-
Andrew Lonsdale wrote a beautiful post about
feedback from a recent workshop held by COMBINE.
He also shows how instructors can make use of feedback from participants to create fun little capstone projects.
-
A workshop was run at the University of Nebraska, Omaha.
-
Several workshops have been confirmed for the next few months.
Upcoming workshops can be viewed on our website.
Newly added workshops are indicated with "*".
-
April:
Washington State University,
Content Korea Lab Gyeonggi,
Simon Fraser University
-
May:
University of Melbourne,
Swinburne University of Technology*,
University of South Florida - College of Marine Science,
University of New Mexico,
Western University,
Stellenbosch University*,
University of Melbourne
-
June:
University of Cambridge*,
Materials Physics Center - University of the Basque Country*,
-
July:
The University of Queensland,
SciPy 2015*,
The University of Queensland - AMOS sciences
Repository Activity
| Project | Issues | Pull Requests |
| Opened | Closed | Comments | Opened | Closed | Comments |
| shell-novice | 5 | 4 | 40 | 8 | 4 | |
| git-novice | 2 | 4 | 40 | 8 | 8 | 15 |
| hg-novice | | | | | | |
| sql-novice-survey | | | 3 | 2 | | |
| python-novice-inflammation | 3 | 2 | 23 | 7 | 4 | |
| r-novice-inflammation | 1 | 1 | 23 | 4 | 6 | |
| matlab-novice-inflammation | | | 4 | 3 | 3 | |
| slideshows | 1 | | 3 | | | |
| instructor-training | | | | | | |
| amy | | 1 | 24 | 1 | 2 | 39 |
| site | 1 | | 18 | 6 | 10 | 2 |
| Total | 11 | 12 | 385 | 39 | 37 | 56 |
|---|


The goal of rodm2 is to make it easy to use the ODM2 data model in R, in order to promote collaboration between ecologists, hydrologists, and soil scientists.
Organize site, sample, and sensor data all in one place! For example:
This project is just getting started! Get in touch or open an issue if you have a use case or if you’re interested in collaborating.
You can install this package from GitHub with:
# install.packages("devtools")
devtools::install_github("khondula/rodm2")
Organize a dataframe of time series values into a new or existing ODM2 sqlite database:
The data to upload should have time series data for one or more variables collected at one site using the same instrument. It needs at least 2 timepoints, and a “Timestamp column” formatted as YYYY-MM-DD HH:MM:SS. For example:
| Timestamp | wd | ws | gustspeed |
|---|---|---|---|
| 2018-06-27 13:45:00 | 180 | 1.0 | 2.0 |
| 2018-06-27 13:55:00 | 170 | 1.5 | 2.5 |
Load up the package and create a new ODM2 database or connection object to an existing ODM2 database.
library(rodm2)
dblite <- create_sqlite(connect = TRUE)
Each column in the data to upload should contain data about one variable with the same units. Create a list that specifies for each variable the column names and units:
vars_list <- list(
'Wind direction' = list(column = 'wd', units = 'Degree'),
'Wind speed' = list(column = 'ws', units = 'Meter per Second'),
'Wind gust speed' = list(column = 'gustspeed', units = 'Meter per Second')
)
If there are columns in the data that correspond to censor codes or data quality codes, also supply those column names as ‘qualitycodecol’ and/or ‘censorcodecol’ in the list for each variable.
Supply database connection object, new data, method, site, variables, and sampled medium to insert time series data.
db_insert_results_ts(db = dblite, # database connection
datavalues = ts_data, # dataframe with Timestamp column
method = "SonicAnemometer",
site_code = "Site1",
variables = vars_list,
sampledmedium = "Air"
)
#> SonicAnemometer has been added to the Methods table.
#> Wind direction has been added to the Variables table.
#> Wind speed has been added to the Variables table.
#> Wind gust speed has been added to the Variables table.
#> Site Site1 has been entered into the samplingfeatures table.
You can also specify who collected the data with actionby
and a specific piece of equipment used with equip_name
. Methods, variables, and site codes not already existing in the database will be added to the appropriate tables.
rodm2
is designed to work either with an existing ODM2 database on a server (e.g. PostgreSQL), or with spreadsheet files that aren’t (yet!) in a relational database. This package is intended to help populate, query, and visualize data that is organized with the ODM2 structure. It should not be necessary to understand ODM2 or SQL but it may help! See here for an overview of the data structure.
With a PostgreSQL database
A script for creating a PostgreSQL database with the ODM2 schema is here and instructions for populating the controlled vocabularies tables using a script are here.
You will need to create a database connection object, eg. using DBI::dbConnect()
and your host and log-in credentials.
Without an external database
Initialize an empty sqlite database with odm2 schema in your working directory (empty except for the controlled vocabulary tables). You can view and edit this database using DB Browser for SQLite outside of R. By default, create_sqlite()
just creates the sqlite file but connect = TRUE
will return the connection object as well.
library(rodm2)
dblite <- create_sqlite(connect = TRUE)
Or create a connection to an existing sqlite file using dbConnect
and the name of the file.
There are 132 tables in the database. The “blank” database has the Units table populated as well as all of the controlled vocabularies.
See the terms for a given controlled vocabulary:
rodm2::get_cv_terms("methodtype")
#> methodtype controlled vocabulary terms: "Cruise", "Data retrieval", "Derivation", "Equipment deployment", "Equipment maintenance", "Equipment programming", "Equipment retrieval", "Estimation", "Expedition", "Field activity", "Generic non-observation", "Instrument Continuing Calibration Verification", "Instrument calibration", "Instrument deployment", "Instrument retrieval", "Observation", "Simulation", "Site visit", "Specimen analysis", "Specimen collection", "Specimen fractionation", "Specimen preparation", "Specimen preservation", "Submersible launch", "Unknown")
Explore the database structure:
head(DBI::dbListTables(dblite))
#> [1] "ActionAnnotations" "ActionBy"
#> [3] "ActionDirectives" "ActionExtensionPropertyValues"
#> [5] "Actions" "Affiliations"
DBI::dbListFields(dblite, "featureactions")
#> [1] "FeatureActionID" "SamplingFeatureID" "ActionID"
head(DBI::dbReadTable(dblite, "units"))
#> UnitsID UnitsTypeCV UnitsAbbreviation UnitsName
#> 1 1 Absorbed dose Gy Gray
#> 2 2 Absorbed dose rad RAD
#> 3 3 Absorbed dose rate Gy/s Gray per Second
#> 4 4 Amount of Information ban Ban
#> 5 5 Amount of Information bit Bit
#> 6 6 Amount of Information By Byte
#> UnitsLink
#> 1 <NA>
#> 2 <NA>
#> 3 <NA>
#> 4 <NA>
#> 5 <NA>
#> 6 <NA>
Add information using db_describe_%TABLE%
functions.
rodm2::db_describe_person(db = dblite, PersonFirstName = "Wendy",
PersonLastName = "Wetland",
AffiliationStartDate = "2018-01-01",
PrimaryEmail = "wendy 'at' swamps.edu")
#> Wendy Wetland has been entered into the People table.
There are currently “describe” functions for:
Data are uploaded using “insert” functions for specific types of results, eg. db_insert_results_ts()
for a data frame of time series results.
In progress:
This project is made possible through support from rOpenSci and SESYNC.
Read about the details and development of ODM2 in the open access paper in Environmental Modelling & Software:
Horsburgh, J. S., Aufdenkampe, A. K., Mayorga, E., Lehnert, K. A., Hsu, L., Song, L., Spackman Jones, A., Damiano, S. G., Tarboton, D. G., Valentine, D., Zaslavsky, I., Whitenack, T. (2016). Observations Data Model 2: A community information model for spatially discrete Earth observations, Environmental Modelling & Software, 79, 55-74, http://dx.doi.org/10.1016/j.envsoft.2016.01.010


{% extends "spanish_base.html" %} {% block content %} {% for post in ourteams %} {% include "post_base.html" %}


-----Original Message-----
From: Concklin, Elaine
Sent: Tuesday, November 06, 2001 7:38 AM
To: Brassfield, Morris; Baker, Lee; Brasher, Barney; Goradia, Pallavi; Clements, David; Zabawa, Mike
Cc: Geaccone, Tracy; Vo, Hoang; Prendergast, Pat
Subject: RE: Adaytum Update
In addition, Lee, Pat and I are meeting tomorrow to organize a regular Adaytum User Group to use as a forum for keeping up with and addressing any further issues that arise as we move forward with the Plan input into Adaytum and our next development phase of Adaytum.
-----Original Message-----
From: Brassfield, Morris
Sent: Tuesday, November 06, 2001 6:35 AM
To: Baker, Lee; Concklin, Elaine; Brasher, Barney; Goradia, Pallavi; Clements, David; Zabawa, Mike
Cc: Geaccone, Tracy; Vo, Hoang; Prendergast, Pat
Subject: RE: Adaytum Update
Thanks for the quick response and the feedback concerning these issues.
Morris A. Brassfield
Enron Transportation Services
Senior Director
Operations Support Services
Three Allen Center 3285
333 Clay Street
Houston, Texas 77002
713-646-7006 Business Phone
713-503-1409 Cell Phone
-----Original Message-----
From: Baker, Lee
Sent: Monday, November 05, 2001 8:30 PM
To: Brassfield, Morris; Concklin, Elaine; Brasher, Barney; Goradia, Pallavi; Clements, David; Zabawa, Mike
Cc: Geaccone, Tracy; Vo, Hoang; Prendergast, Pat
Subject: Adaytum Update
Importance: High
After our meeting today Mike and I met with Pat about some of the recent Adaytum issues and I would like to update you on the progress.
With regard to users loosing Contributor data previously entered, we believe they may not be waiting long enough after selecting Save, and closing the window before the save process is complete. This afternoon Pat sent the detailed instructions below, stressing that users wait until they receive the Done message before closing the window. She has asked users to let her know if they continue to have this problem. Due to the size of our applications they do take several minutes to open and may take longer to save.
The second issue involves salary calculations in the base models in Adaytum Analyst. Last week we corrected a formula to resolve this problem. As it turns out the changes made in Analyst last week are not there now. Hoang Vo, who is in Omaha today, asked one of his Adaytum collogues, who is working on the Corporate project, to look into this. He contacted Pat and indicated he had experienced this same problem and supplied her with a macro to run after making the changes in Analyst. Pat updated several applications this evening and will check in the morning to see if it worked. This issue with saving in Analyst is not related to the saving issue in Contributor.
Additionally, Contributor has not been available for several days recently. This is due to problems with the server that is operated by Networks. Hoang has worked with the Sunrise technical lead and Networks, and this problem is resolved.
If there any questions, please don't hesitate to call me or Pat.
-----Original Message-----
From: Prendergast, Pat
Sent: Monday, November 05, 2001 6:52 PM
To: Anderson, Jan; Apodaca, Vera; Attasseril , Finney; Baker, Lee; Beck, Amy Lynn; Brasher, Barney; Collins, Judy; Concklin, Elaine; Currie, Deb; DeBlonk, Nancy; Glenn, Laketa; Goradia, Pallavi; Hoggatt, Leslee; Jones, Timothy; Jones, Vera; Judy-Meier, Lisa; LeFiles, Judy; McBath, Margie; McMichael, Rick; Navarro, Silvia; Nicol, Kareen; Patel, Sophie; Pool, Deelyn; Poole, Susan; Post, Patricia; Prigmore, Patty; Rosen, Mylinda; Ruckle, Jason; Sandefer, Helen; Schultz, Dawn; Tihista, Sue; Tornio, Terriann; Villasenor, Amy ; Willman, Bill; Wood, Nancy; Zabawa, Mike
Cc: Vo, Hoang
Subject: ADAYTUM APPLICATION SAVE PROCESS
Importance: High
PLEASE BE SURE YOU FOLLOW THE STEPS BELOW WHEN SAVING DATA YOU HAVE ENTERED INTO YOUR APPLICATION PRIOR TO EXITING:
SAVE WILL SAVE THE DATA BACK TO THE DATABASE.   THE HOUR GLASS MAY STOP RUNNING, BUT UNTIL YOU SEE THE WORD "DONE", IT IS NOT FINISHED SAVING ALL THE DATA.
<< OLE Object: Paintbrush Picture >>
DONE
If you have any questions or experience any further lost data, please call me.
Thanks,
Pat
***********
EDRM Enron Email Data Set has been produced in EML, PST and NSF format by ZL Technologies, Inc. This Data Set is licensed under a Creative Commons Attribution 3.0 United States License <http://creativecommons.org/licenses/by/3.0/us/> . To provide attribution, please cite to "ZL Technologies, Inc. (http://www.zlti.com)."
***********
California


|
SBF
Super bloody fast messaging transport
|
Helper structures and functions to create a subscriber. More...
Go to the source code of this file.
Typedefs | |
| typedef struct sbfRequestSubImpl * | sbfRequestSub |
| The subscriber declaration. More... | |
| typedef void(* | sbfRequestSubReadyCb) (sbfRequestSub sub, void *closure) |
| Callback declaration that will be invoked when subscriber is ready. More... | |
| typedef void(* | sbfRequestSubRequestCb) (sbfRequestSub sub, struct sbfRequestImpl *req, sbfBuffer buffer, void *closure) |
| Callback declaration that will be invoked when request is processed. Request is destroyed unless sbfRequest_detach is called on it. More... | |
Functions | |
| sbfRequestSub | sbfRequestSub_create (sbfTport tport, sbfQueue queue, const char *topic, sbfRequestSubReadyCb readyCb, sbfRequestSubRequestCb requestCb, void *closure) |
| Creates a subscriber configured with the given parameters. More... | |
| void | sbfRequestSub_destroy (sbfRequestSub sub) |
| Release all the resources allocated by the subscriber. More... | |
| const char * | sbfRequestSub_getTopic (sbfRequestSub sub) |
| returns the name of the topic associated with the given subscriber. More... | |
| void | sbfRequestSub_reply (sbfRequestSub sub, struct sbfRequestImpl *req, void *data, size_t size) |
| Sends a message with the given subscriber. More... | |
Helper structures and functions to create a subscriber.
Definition in file sbfRequestSub.h.
| typedef struct sbfRequestSubImpl* sbfRequestSub |
The subscriber declaration.
Definition at line 18 of file sbfRequestSub.h.
| typedef void(* sbfRequestSubReadyCb) (sbfRequestSub sub, void *closure) |
Callback declaration that will be invoked when subscriber is ready.
| sub | the subscriber handler. |
| closure | the user data linked to the subscriber handler. |
Definition at line 25 of file sbfRequestSub.h.
| typedef void(* sbfRequestSubRequestCb) (sbfRequestSub sub, struct sbfRequestImpl *req, sbfBuffer buffer, void *closure) |
Callback declaration that will be invoked when request is processed. Request is destroyed unless sbfRequest_detach is called on it.
| sub | the subscriber handler. |
| req | the request that is being attended. |
| buffer | the buffer requested. |
| closure | the user data linked to the subscriber handler. |
Definition at line 35 of file sbfRequestSub.h.
| sbfRequestSub sbfRequestSub_create | ( | sbfTport | tport, |
| sbfQueue | queue, | ||
| const char * | topic, | ||
| sbfRequestSubReadyCb | readyCb, | ||
| sbfRequestSubRequestCb | requestCb, | ||
| void * | closure | ||
| ) |
Creates a subscriber configured with the given parameters.
| tport | the port to initialise the communications. |
| queue | the queue to sublish the messages. |
| topic | the logical channel name for the messages. |
| readyCb | the callback indicating that the channel is ready. |
| requestCb | the callback indicating that the channel is ready. |
| closure | the user data linked to the subscriber handler. |
| void sbfRequestSub_destroy | ( | sbfRequestSub | sub | ) |
Release all the resources allocated by the subscriber.
| sub | the subscriber handler. |
| const char* sbfRequestSub_getTopic | ( | sbfRequestSub | sub | ) |
returns the name of the topic associated with the given subscriber.
| sub | the subscriber handler. |
| void sbfRequestSub_reply | ( | sbfRequestSub | sub, |
| struct sbfRequestImpl * | req, | ||
| void * | data, | ||
| size_t | size | ||
| ) |
Sends a message with the given subscriber.
| sub | the subscriber handler. |
| req | the request that is being replied. |
| data | array of bytes to be sent. |
| size | the length in bytes of the data previously defined. |


Publications
Prediction without Preclusion: Recourse Verification with Reachable Sets
In Submission, 2023
Individuals can be assigned predictions that they cannot change through actions on their features. This paper investigates and formalizes scenarios of predictions without recourse. We argue the importance of these scenarios for both model development and recourse detection methods.


WITNESS LIST Public Health Committee March 10, 1999-1:30P HB 273 For: Moore, Les (Self) Against: Gantt, Melanie (Mental Health Association in Texas) Lovelace, Joe (National Alliance for the Mentally Ill of Texas) On: Fillmore, Debbie J. (Texas Commission on Jail Standards and Texas Council on Offenders with Mental Impairments) Malatich, James (Texas Mental Health Directors Consortium) McClure, Spencer (Texas Council of Community MHMR Centers, Inc.) Registering, but not testifying: For: Walker, Craig (Texas Ambulance Association) Against: Mitchell, Beth (Advocacy Inc.) HB 748 Registering, but not testifying: On: Hatcher, Johnny R. (Department of Public Safety) HB 970 Registering, but not testifying: For: Courtney, Chuck (Texas Retailers Association) Reagan, Karen (Texas Pharmacy Association) On: Morse, Steve (Texas State Board of Pharmacy) HB 1145 For: Ashby, Cindy (Texas Counseling Association) HB 1270 Against: Schaefer, Wendy Kendall (Self) On: Mitchell, Beth (Advocacy, Inc.) Registering, but not testifying: For: Gilchrist, Alfred (Texas Medical Association) On: Bivens, Carolyn (Adult Protective Services) Gold, Marc (Texas Department of Human Services) HB 1285 On: Hamilton, Kathleen (Texas Department of Health) Registering, but not testifying: For: Kent-Davis, Helen (Texas Medical Association) Murphree, Susan (Advocacy, Inc.) Samuels, Marc (Texas Pediatric Society) HB 1311 For: Berlanga, Hugo (Self) Edwards, Carol (Self) Gilligan, Lillie (Glaxo Wellcome Inc.) Granfor, Jim (Self) Hammond, Bill (Texas Association of Business) Rodgers, George P. (Self and Texas Coalition on Cardiovascular Disease and Stroke) On: Noren, M.D., Jay (The Texas A&M University System Health Science Center) Registering, but not testifying: For: Banning, Tom (Texas Academy of Family Physicians) Boucher, Terry (Texas Osteopathic Medical Association) Cummings, Bill (Self and Texas Silver-Haired Legislature) Gagen, Joe (Texas 5.01(a) Alliance) Holtermann, John W. (Texas Silver-Haired Legislature) Hooser, Greg (Scott & White Hospital & Clinic, Texas Dietetic Association) Reagan, Karen (Texas Pharmacy Association) Reynolds, David (American Heart Association, TX Affiliate) Samuels, Marc (Texas Academy of Internal Medicine, East Texas Regional Health Care System, Wyeth Ayerst Pharm.) Walker, Craig (Texas Organization of Rural & Community Hospitals) Williams, Ellen (Merck) On: Smith, Jennifer (Texas Department of Health) HB 2085 For: Bizzel, Lynn (Texas Fire Chief's Association) Campbell, Helen (Self and State Firemen's & Fire Marshals' Association) Higgins, Mike (Texas State Association of Fire Fighters) Murphree, Susan (Advocacy, Inc.) Against: Holtermann, John W. (Self) Janda, R.N., P.A., Steve (Self) Redus D.D.S., M.D., Ronald C. (Self) Tips, R.N., M.S.N., Gaylen (Self and Austin Chapter Emergency Nurses Association) On: Archer, M.D., Reyn (Texas Department of Health) Registering, but not testifying: For: Gilchrist, Alfred (Texas Medical Association) Walker, Craig (Texas Organization of Rural & Community Hospitals, Texas Ambulance Association) Against: Redus, Clark (Self) On: Daniel, Katrina (Sunset Advisory Commission) Hubbard, John (Sunset Advisory Commission) Levin, Ilan (Sunset Advisory Commission) Levine, Ken (Sunset Advisory Commission) Mendez, Margaret C. (Texas Department of Health) Wall, Matthew T. (Texas Hospital Association) SB 61 For: Ledlow, Geneva (Self) Leis, M.D., Paula (Texas Dermatological Society, Texas Medical Association) LeGros, Kim (Self) Newman, Timothy (Self and Miss Fortune Tattoo Parlor) Registering, but not testifying: For: Parker, Ph.D., Carolyn A. (Texas AIDS Network) On: Culmo, Cynthia (Texas Department of Health) SB 356 Registering, but not testifying: For: Walker, Craig (Texas Organization of the Rural & Community Hospitals) On: Coe, Colin (Sunset Advisory Commission) SB 414 Registering, but not testifying: For: Courtney, Chuck (Texas Retailers Association) Reagan, Karen (Texas Pharmacy Association) On: Morse, Steve (Texas State Board of Pharmacy)


--- subject: Welcome to Chicpopo --- Chicpopo NEW IN TOPS DRESSES BOTTOMS JUMPSUITS ACCESSORIES Pockets Striped Casual Capri Pants Casual Short Sleeve V Neck Printed Shirts Women V neck Loose T-Shirt Women Folds Casual Ruffled Pants Vintage Linen Stripes Jumpsuits Short Sleeve Animal Shirts & Tops Casual Printed/dyed Short Sleeve Shirts Women Loose Solid Casual Pants NEW TOPS HOT SHOES NEW DRESSES BEST SELLERS If you have any questions regarding your orders or products, please feel free to contact us at<EMAIL_ADDRESS>© CHICPOPO. All Rights Reserved
Chicpopo
NEW TOPS
HOT SHOES
NEW DRESSES
BEST SELLERS
© CHICPOPO. All Rights Reserved


--- layout: default title: 'Library' scripts: - affix sections: - name: Game category: 'game' desc: The game module includes functionality for creating a window, setting up a game loop and calling update and draw at specified intervals. - name: Sprites category: 'sprites' desc: The sprite module includes functionality for drawing 2D sprites. - name: Shaders category: 'shaders' desc: Predefined shaders that are designed to get you started without having any knowledge of writing code for vertex/fragment-shaders. ---
A set of common components useful when developing games. The library is written in JavaScript and uses the underlying Gameplay API. The source code is easy to access and customize or extend.
{% assign items = site.lib | where:"category", name | sort: 'sortorder' %} {% for item in items %} {{ item.content }} {% endfor %} {% endfor %}{{ section.desc }}


Input [dataSource]
has this type
type FdpMultiComboboxDataSource<T> = MultiComboBoxDataSource<T> | Observable<T[]> | T[]
To open suggestions dropdown with keyboard, use combination of alt key + arrow down key
when
focusing input field.
MultiComboboxMobileModule
[mobile]
property to true[mobileConfig]
with MobileModeConfig
configuration object to customize the
look of the control
MOBILE_MODE_CONFIG
token. Check
Global Configuration page for more
information.
group
and groupKey
is required
secondaryKey
and
showSecondaryText
is required
[state]
property to: 'success' | 'error' | 'warning' | 'information'
onDataRequested
and onDataReceived
outputs, that can be used to implement
external loading logic. These events are tied to the querying process through dataSource.


Estate : this estate has regions.
Name:
Owner:
Public Access?
Allowed Groups:
Reset all regions:
Group: Music URL: Safe options
Region assignments:
Move region: to estate:


Redin is a simple dependency injection framework, instead of having a bunch of features, we provide a limited set of features that must be enough for the majority of projects, mainly the smaller ones.
Basic injection
Redin provides a Kotlin DSL for declaration of dependencies:
val injector = Redin {
bind<AccountService>() toImplementation(AccountServiceImpl::class.java)
}
val serviceProvider = injector.provide<AccountService>()
Note that, the provide
function returns a function that, when invoked, produces the underlying requested dependency. This means that, every time you do serviceProvider()
it creates a new instance of this service.
If that is not what you want, you could use scopes
to define the scope of the dependency. Once an instance of a dependency is produced in a given scope, the instance keeps tied to that scope. So, calling the serviceProvider
always yields the same dependency instance. The most commonly used scope is SINGLETON
:
val injector = Redin {
bind<AccountService>() inScope SINGLETON toImplementation(AccountServiceImpl::class.java)
}
val service = injector.provide<AccountService>(scope = SINGLETON)
Also, you could use qualifiers to identify between different instances of the same type of dependency, for example, for services urls:
val injector = Redin {
bind<String>() qualifiedWith Name("accountService") inScope SINGLETON toValue "https://service/"
bind<String>() qualifiedWith Name("transactionService") inScope SINGLETON toValue "https://service2/"
}
val service = injector.provide<String>(
scope = SINGLETON,
qualifiers = listOf(nameContainer("transactionService"))
)
Injecting in classes
To use class injection, you need to annotate the constructor to be used to inject the dependencies with @Inject
, see an example below:
data class Account(val id: Long)
interface AccountService {
fun deposit(account: Account, amount: Long)
}
class AccountServiceImpl : AccountService {
override fun deposit(account: Account, amount: Long) {
// Deposit logic
}
}
class BankService @Inject constructor(val accountService: AccountService)
fun inject() {
val injector = Redin {
bind<AccountService>() inScope SINGLETON toImplementation(AccountServiceImpl::class.java)
bind<BankService>() inScope SINGLETON toImplementation(BankService::class.java)
}
val accountService = injector.provide<AccountService>(scope = SINGLETON)
val bankService = injector.provide<BankService>(scope = SINGLETON)
}
Adding more bindings to existing injector
To add more bindings, just call bind
method, it will create a new BindContext
:
fun inject() {
val injector = Redin {
bind<AccountService>() inScope SINGLETON toImplementation(AccountServiceImpl::class.java)
}
val accountService = injector.provide<AccountService>(scope = SINGLETON)
injector.bind {
bind<BankService>() inScope SINGLETON toImplementation(BankService::class.java)
}
val bankService = injector.provide<BankService>(scope = SINGLETON)
}
Child injectors
Child injectors could be used to inherit dependencies from a parent injector, while providing a whole new scope of dependencies. One example of usage of child injector is in plugin system, to provide a dedicated Logger
for every plugin.
The example below shows an example of a “plugin system” taking advantage of child injectors:
data class Project(val name: String)
abstract class Plugin {
abstract fun init()
}
class PluginA @Inject constructor(val logger: Logger, val project: Project, val injector: Injector): Plugin() {
override fun init() {
logger.info("Plugin A initialized for project ‘${this.project.name}’!")
}
}
class PluginB @Inject constructor(val logger: Logger, val project: Project, val injector: Injector): Plugin() {
override fun init() {
logger.info("Plugin B initialized for project ‘${this.project.name}’!")
}
}
val injector = Redin {
bind<Project>() inScope SINGLETON toValue Project("Test")
}
val pluginClasses = listOf(PluginA::class.java, PluginB::class.java)
val pluginInstances = mutableListOf<Plugin>()
for (pluginClass in pluginClasses) {
val pluginInjector = injector.child {
bind<Logger>().inSingletonScope().toValue(Logger.getLogger(pluginClass.name))
}
pluginInstances.add(pluginInjector[pluginClass])
}
pluginInstances.forEach(Plugin::init)
Retrieving all bindings of a given type
In scenarios like this one, you may want to retrieve all Plugin
instances. Redin tries to not introduce any unexpected behavior, then a regular binding won't work, since binding to the same type overwrites the previous binding. To access all instances of a given type, you need to register a binding for a provider which carries all those instances.
You can also use qualifiers to automatically provide these instances using an identifier as well.
The example below shows how to provide all instances of a given type through a List
, as well as using qualifiers to provide dedicated bindings:
data class Project(val name: String)
abstract class Plugin {
abstract val id: String
abstract fun init()
}
class PluginA @Inject constructor(val logger: Logger, val project: Project, val injector: Injector): Plugin() {
override val id: String = "com.example.PluginA"
override fun init() {
logger.info("Plugin A initialized for project ‘${this.project.name}’!")
}
}
class PluginB @Inject constructor(val logger: Logger, val project: Project, val injector: Injector): Plugin() {
override val id: String = "com.example.PluginB"
override fun init() {
logger.info("Plugin B initialized for project ‘${this.project.name}’!")
}
}
class PluginC @Inject constructor(val logger: Logger,
val project: Project,
@Named("com.example.PluginB") val pluginB: Plugin,
val injector: Injector): Plugin() {
override val id: String = "com.example.PluginC"
override fun init() {
logger.info("Plugin C initialized for project ‘${this.project.name}’!")
}
}
val injector = Redin {
bind<Project>() inScope SINGLETON toValue Project("Test")
}
val pluginClasses = listOf(PluginA::class.java, PluginB::class.java, PluginC::class.java)
val pluginInstances = mutableListOf<Plugin>()
injector.bind {
bindReified<List<Plugin>>().inSingletonScope().toProvider { pluginInstances }
}
for (pluginClass in pluginClasses) {
val pluginInjector = injector.child {
bind<Logger>().inSingletonScope().toValue(Logger.getLogger(pluginClass.name))
}
val pluginInstance = pluginInjector[pluginClass]
pluginInstances.add(pluginInjector[pluginClass])
injector.bind {
bind<Plugin>().inSingletonScope().qualifiedWith(Name(pluginInstance.id)).toValue(pluginInstance)
}
}
pluginInstances.forEach(Plugin::init)
class PluginSystem @Inject constructor(@Singleton val plugins: List<Plugin>)
injector.bind {
bind<PluginSystem>().inSingletonScope().toImplementation<PluginSystem>()
}
val system = injector.provide<PluginSystem>(scope = SINGLETON)()
The bindReified
function is used when you want to bind keeping the generic type information, rather than erasing the type information. You could also use bind(TypeInfo.builderOf(List::class.java).of(Plugin::class.java).buildGeneric())
Late binding
Redin also supports late binding mechanism, it does by injecting the dependencies when they are needed, instead of injecting them right in the construction time:
class MyPlugin @Inject constructor(@Late val globalLogger: LateInit.Ref<Logger>) {
fun log(message: String) {
this.globalLogger.value.info("MyPlugin: ‘$message’")
}
}
fun lateInject() {
val injector = Redin {
bind<MyPlugin>().inSingletonScope().toImplementation<MyPlugin>()
}
val myPlugin = injector.provide<MyPlugin>(scope = SINGLETON)()
//myPlugin.log("Hello") // will fail
injector.bind {
bind<Logger>().inSingletonScope().toValue(Logger.getGlobal())
}
myPlugin.log("Hello") // works!
}
Lazy binding
Works in the same way as late binding:
class MyPlugin @Inject constructor(@LazyDep val globalLogger: Lazy<Logger>) {
fun log(message: String) {
this.globalLogger.value.info("MyPlugin: ‘$message’")
}
}
fun lazyInject() {
val injector = Redin {
bind<MyPlugin>().inSingletonScope().toImplementation<MyPlugin>()
}
val myPlugin = injector.provide<MyPlugin>(scope = SINGLETON)()
myPlugin.log("Hello") // will fail
injector.bind {
bind<Logger>().inSingletonScope().toValue(Logger.getGlobal())
}
myPlugin.log("Hello") // works!
}
The main difference is that late injection is handled by Injector
, when new bindings are added, the engine tries to resolve late injection points, while lazy injection is handled by a Lazy
implementation that search by available binding at the first use. In other words, while late injection is resolved as soon as a candidate is provided, lazy injection is only resolved when the value is used.
In practice, you could choose between late or lazy, but it only applies when using LateInit
or Kotlin Lazy
types: Lazy bindings are also candidates for dynamic generation, so the code below works fine:
interface Logger {
fun info(message: String)
}
class MyPlugin @Inject constructor(@LazyDep val globalLogger: Logger) {
fun log(message: String) {
this.globalLogger.info("MyPlugin: ‘$message’")
}
}
fun dynamicLazyInject() {
val injector = Redin {
bind<MyPlugin>().inSingletonScope().toImplementation<MyPlugin>()
}
val myPlugin = injector.provide<MyPlugin>(scope = SINGLETON)()
//myPlugin.log("Hello") // will fail
injector.bind {
bind<Logger>().inSingletonScope().toValue(object : Logger {
override fun info(message: String) {
java.util.logging.Logger.getGlobal().info(message)
}
})
}
myPlugin.log("Hello") // works!
}
Redin uses KoresProxy to generate dynamic implementation. However, while this may sound that invocations are dynamic, they are not: Redin generates proxies that uses static invocation, so there is no performance overhead in using them.
Hot Swap
Redin allows for switching existing injections into new ones, this is possible through HotSwappable
.
interface Logger {
fun info(message: String)
}
class PrefixedLogger(val prefix: String): Logger {
override fun info(message: String) {
println("$prefix: $message")
}
}
class MyPlugin @Inject constructor(@HotSwappable val globalLogger: Hot<Logger>) {
fun log(message: String) {
this.globalLogger.value.info("MyPlugin: ‘$message’")
}
}
fun hotInject() {
val injector = Redin {
bind<Logger>().inSingletonScope().toValue(PrefixedLogger("First"))
bind<MyPlugin>().inSingletonScope().toImplementation<MyPlugin>()
}
val myPlugin = injector.provide<MyPlugin>(scope = SINGLETON)()
myPlugin.log("Hello")
injector.bind {
bind<Logger>().inSingletonScope().toValue(PrefixedLogger("Swapped"))
}
myPlugin.log("Hello")
}
Proxies can be used like in lazy injection, with zero runtime overhead (only class generation overhead, which happens only once in the entire execution):
interface Logger {
fun info(message: String)
}
class PrefixedLogger(val prefix: String): Logger {
override fun info(message: String) {
println("$prefix: $message")
}
}
class MyPlugin @Inject constructor(@HotSwappable val globalLogger: Logger) {
fun log(message: String) {
this.globalLogger.info("MyPlugin: ‘$message’")
}
}
@Test
fun hotInject() {
val injector = Redin {
bind<Logger>().inSingletonScope().toValue(PrefixedLogger("First"))
bind<MyPlugin>().inSingletonScope().toImplementation<MyPlugin>()
}
val myPlugin = injector.provide<MyPlugin>(scope = SINGLETON)()
myPlugin.log("Hello")
injector.bind {
bind<Logger>().inSingletonScope().toValue(PrefixedLogger("Swapped"))
}
myPlugin.log("Hello")
}
Module
Redin supports module-like bind declaration:
@RedinInject
class Example(val log: LoggingService)
class MyModule {
@Provides
@Singleton
fun provideLoggingService(): LoggingService = MyLoggingService()
}
fun example() {
val injector = Redin {
module(MyModule())
}
val example = injector.get<Example>()
}
get
vs provide
The get
function is used to create an instance of a class injecting dependencies as needed, while provide
is used to retrieve a dependency declared in BindContext
:
class MyService @Inject constructor(val logger: Logger)
class MyService2 @Inject constructor(val myService: MyService)
@Test
fun getVsProvideInject() {
val injector = Redin {
bind<Logger>().inSingletonScope().toValue(Logger.getGlobal())
}
// Creates a new instance of MyService injecting dependencies
val myService = injector.get<MyService>()
// Won't work since there is no binding for ‘MyService’.
val myServiceProvided = injector.provide<MyService>(scope = SINGLETON)()
// Won't work since there is no binding for ‘MyService’ to inject in ‘MyService2’.
val myService2 = injector.get<MyService2>()
}
The right way to write the could above is:
class MyService @Inject constructor(val logger: Logger)
class MyService2 @Inject constructor(val myService: MyService)
fun getVsProvideInject() {
val injector = Redin {
bind<Logger>().inSingletonScope().toValue(Logger.getGlobal())
bindToImplementation<MyService>(scope = SINGLETON)
}
val myService = injector.provide<MyService>(scope = SINGLETON)()
val myServiceProvided = injector.provide<MyService>(scope = SINGLETON)()
val myService2 = injector.get<MyService2>()
}
Lazy by default
Redin resolves dependencies lazily by default, this means that the following code works:
class MyService @Inject constructor(val logger: Logger)
fun lazyByDefaultInject() {
val injector = Redin {
bind<Logger>().inSingletonScope().toValue(Logger.getGlobal())
}
val myService = injector.provide<MyService>(scope = SINGLETON)
injector.bind {
bindToImplementation<MyService>(scope = SINGLETON)
}
myService()
}
Resolution only occurs when the provider function is invoked. However, since classes does not have this indirection, they always resolve dependencies in instantiation (unless they have @Late
or @Lazy
dependencies).


Life is but a dream
Hey there, I am a dreamer. And this is my rhyme :
Row, row, row your boat,
Gently down the stream.
Merrily, merrily, merrily, merrily,
Life is but a dream.
2016. By Kalpit Thakkar


BINARYLIES
Home
About
Welcome to BinaryLies
The creation and personal playground of a madman known as...
BINARYIDIOT


Laal Singh Chaddha First Look: Turban Clad Aamir Khan With His Innocent Eyes Is Here To Impress
The film is the remake of Hollywood film Forrest Gump starring Tom Hanks and is currently being shot in Punjab.
by Koimoi.com TeamAamir Khan’s Laal Singh Chaddha is more than a year away from its release, but like every film of the superstar, it is too making news already. The film also starring Kareena Kapoor Khan in lead features Aamir in the role of a Sikh and his turban clad look which got leaked recently has already made the fans excited.
Aamir who plays the title role in the film has now shared his first look on social media. In the poster, Aamir can be seen holding a “mithaai ka dabba” in his hand while sitting on the side of a train’s seat.
He captioned the pic, “Sat Sri Akaal ji, myself Laal…Laal Singh Chaddha.”
A logo of the film was earlier revealed by Aamir. Sharing the digital logo video, he wrote, “Kya pata hum mein hai kahani, ya hai kahaani mein hum…”
The film is the remake of Hollywood Oscar-winning cult film Forrest Gump starring Tom Hanks and is currently being shot in Punjab.
Written by Atul Kulkarni, the film is helmed by Secret Superstar director Advait Chandan and will be produced by Viacom18 Studios and Aamir Khan Productions. The movie is slated to release during Christmas 2020.
Interestingly, Laal Singh Chadha is also said to have guest appearances from other two big Khans i.e. Salman Khan & Shah Rukh Khan.


{% extends 'base.html' %} {% load i18n institutions_tags email_obfuscator %} {% block javascript %} {{ block.super }}
{% endblock %} {% block content %} {% if object.jst %} {% endif %}The way of addressing ePUAP messages is broken. Requires knowledge of the identifier of the institution. Automatic hints from the system may be incomplete, preventing you from contacting the authority you want.
If you want to contact the office, go to the "General
letter" form. In the "Set / change address" field, type {{ epuap_id }}
to write to
the {{ object }}. If you want to contact another office - find it on this page.
It is not worth looking for other ePUAP forms. They may initially make a good impression, but then it turns out that, for example, they are not available at the office, although such service should be available. These are in about 90% trap.
The detailed instructions for using the general letter are as follows:
{% endblocktrans %} {% if object.regon_data.data %} {% trans 'If you do not want to use the electronic system we present below the contact data from the REGON registry:' %} {{ object.regon_data.data.nazwa }}{{ object.id }}
{% include 'institutions/_dict_table.html' with name='Baza REGON' dict=object.regon_data.data %}
{% include 'institutions/_dict_table.html' with name='Baza RESP.xml' dict=object.resp.data %}
| Adres skrytki | Status skrytki |
|---|---|
{{ esp.name }} |
{{ esp.active }} |


cma.experimentation.Results(object)
class documentationcma.experimentation
(View In Hierarchy)
a container to communicate (changing) results via disk and with backups (of all data) in each step.
The data attribute is a dictionary which contains all "results" data. Any new container reads previously saved data (with the same name) on initialization.
Use cases:
# save my_data_dict to file 'sweep_data.pydata' # thereby appending/updating existing data Results('sweep_data').save(my_data_dict) # load these (combined) data back my_data_dict = Results('sweep_data').load().data # save data after each trial res = Results('sweep_data') # appends/merges data in case for dim in dimensions: for ...: ret = fmin(...) res.data[dim][...] = ret.evals if ret.success else np.inf res.save() # like this we can never lose data
Details: Saving/loading of nonfinite values with ast.literat_eval
is
covered with the value_string_mappings attribute.
| Method | __init__ | Undocumented |
| Method | load | TODO: this should optionally append to current data? |
| Method | update | Append data from filename to self.data. |
| Method | save | update self.data with data and save to disk |
| Method | backup | append data to backup file |
| Method | _value_to_string | return "correct" value |
| Method | _values_to_string | replace values with strings or vice versa. |
| Method | _arrays | return a flat list of (references to) all non-dicts in data. |
Append data from filename to self.data.
To update self with a data dict
instead a file, call
self.data.update(data).
replace values with strings or vice versa.
Values to be replaced are defined at instance creation.


Calculating Your Route...
Categories:
Apparel
Furniture
Electronics
Art
Books
Jewelry
Toys
Bicycles
Other
Sail


Privacy Policy:
The
purpose of this statement is to define the City of Los Angeles' policy with
regards to the collection and use of personally identifiable information (PII
- any information relating to an identified or identifiable individual who is
the subject of the information).
Information Collected:
The City of Los Angeles collects two kinds of user information – Anonymous Information and Personally Identifiable Information (PII).
Anonymous information is
information that does not identify specific individuals and is automatically transmitted by your browser. This information can consist of:
This information is used to help improve our web site. None of the information can be linked to any individual.
Personally Identifiable Information (PII) is
information that could include:
The City will make every reasonable effort to protect your privacy. It restricts
access to your personal identifiable information to those employees that will
respond to your request. The City does not intentionally disclose any personal
information about our users to any third parties inside or outside the City
except as required by law.
The City only collects personally identifiable information that is required to provide service. You can decline to provide us with any personal information on any site on the Internet at any time. However, if you should choose to withhold requested information, we may not be able to provide you with the online services dependent upon the collection of that information.
Access to Personally Identifiable Information
Access
to personally identifiable information in public records at state and local
levels of government in Los Angeles is controlled primarily by the California
Public Records Act (Government Code Section 6250, et seq.). Information that
is generally available under the Public Records Act may be posted for electronic
access through the City's web site. While the Public Records Act sets the general
policies for access to City records, other sections of California code as well
as federal laws also deal with confidentiality issues.
E-mail Addresses
E-mail addresses obtained through the web site will not be sold or given to
other private companies for marketing purposes. The information collected is
subject to the access and confidentiality provisions of the Public Records Act,
other applicable sections of the California code as well as federal laws. E-mail
or other information requests sent to the City web site may be maintained in
order to respond to the request, forward that request to the appropriate agency
within the City, communicate updates to the City page that may be of interest
to citizens, or to provide the City web designer with valuable customer feedback
to assist in improving the site. Individuals can cancel any communications regarding
new service updates at any time.
Cookies
Some City applications use "cookies." A cookie is a small data file that certain web sites write to your hard drive when you visit them. A cookie file can contain information such as a user id that the site uses to track the pages you have visited. But the only personal information a cookie can contain is information you supply yourself. A cookie is only a text file and cannot read data off your hard disk or read cookie files created by other sites. Cookies can track user traffic patterns, recognize your computer's browser when you return, and could provide personalized content without requiring sign-in.
You can refuse cookies by turning them off in your browser. However, they may be required to use some of the web applications on the City's site.
Google Analytics Cookie Tracking
Some City applications use Google Analytics cookies to log user sessions and help us understand traffic and behavior. This helps us analyze data about web page traffic and improve our website in order to tailor it to customer needs. We only use this information for statistical analysis purposes.
Some City applications include the Google Analytics Display Advertising feature used to provide Demographics and Interest Reporting. This feature uses a third party DoubleClick Cookie.
To provide website visitors the ability to prevent their data from being used by Google Analytics, Google has developed the Google Analytics opt-out browser add-on for the Google Analytics JavaScript (ga.js, analytics.js, dc.js). This add-on instructs the Google Analytics JavaScript (ga.js, analytics.js, and dc.js) running on websites to prohibit sending information to Google Analytics. However, the Google Analytics opt-out browser add-on does not prevent data from being sent to the Cityís site.
Visit https://tools.google.com/dlpage/gaoptout/ for more info on how to opt out.
Please note that updates to your browser or operating system may affect the functionality of the opt-out add-on. The latest versions of Internet Explorer sometimes load the Google Analytics opt-out add-on after sending data to Google Analytics. Therefore, if you are using Internet Explorer, the add-on will set cookies on your computer. These cookies ensure that any collected data is immediately deleted from the collection server. Please make sure that third party cookies arenít disabled for your Internet Explorer browser. If you delete your cookies, the add-on will, within a short timeframe, reset these cookies to ensure that your Google Analytics browser add-on remains fully functional.
The following chart is a detailed list of Google Analytics cookies that would be used.
| Cookie Name | Default Expiration Time | Description |
| ga | 2 years | Used to distinguish users. |
| gat | 10 minutes | Used to throttle request rate. |
| utma | 2 years from set/update | Used to distinguish users and sessions. The cookie is created when the javascript library executes and no existing __utma cookies exists. The cookie is updated every time data is sent to Google Analytics. |
| utmt | 10 minutes | Used to throttle request rate. |
| utmb | 30 mins from set/update | Used to determine new sessions/visits. The cookie is created when the javascript library executes and no existing __utmb cookies exists. The cookie is updated every time data is sent to Google Analytics. |
| utmc | End of browser session | Not used in ga.js. Set for interoperability with urchin.js. Historically, this cookie operated in conjunction with the __utmb cookie to determine whether the user was in a new session/visit. |
| utmz | 6 months from set/update | Stores the traffic source or campaign that explains how the user reached your site. The cookie is created when the javascript library executes and is updated every time data is sent to Google Analytics. |
| utmv | 2 years from set/update | Used to store visitor-level custom variable data. This cookie is created when a developer uses the _setCustomVar method with a visitor level custom variable. This cookie was also used for the deprecated _setVar method. The cookie is updated every time data is sent to Google Analytics. |
| Doubleclick | Google Analytics Demographics and Interest Reporting |
Minor's Privacy Policy
Any information collected by any City site from children under 13 are subject to the same guidelines as the general City privacy policy. In addition, the following guidelines will be followed for any information collected by or for any child under 13:
Security
The City of Los Angeles is committed to data security and the data quality of personally identifiable information that is either available from or collected by our web site and has taken reasonable precautions to protect such information from loss, misuse or alteration.
The City operates "secure data networks" protected by industry standard firewalls
and password protection systems. Only authorized individuals have access to
the information provided by our users.
When a City application accepts credit cards or any other particularly sensitive
information for any of its services, it encrypts all ordering information, such
as your name and credit card number, in order to protect its confidentiality.
Access to Your Information
Unless otherwise prohibited by state or federal law, rule or regulation you
will be granted the ability to access and correct any personally identifiable
information. We will take reasonable steps to verify your identity before granting
access to review or make corrections to your information. Each City
service that collects personally identifiable information will allow for review
and update of that information. See individual requests for information for
specifics.
Non City Web Sites
Non-city web sites may be linked through the City's web site. Many non-city
sites may or may not be subject to the Public Records Act and may or may not
be subject to other sections of California Code or federal law. Visitors to
such sites are advised to check the privacy statements of such sites and to
be cautious about providing personally identifiable information without a clear
understanding of how the information will be used. Visitors may also wish to
consult privacy guidelines such as those recommended by the Online Privacy Alliance
(http://www.privacyalliance.org/resources/ppguidelines.shtml).
How to Contact Us
If you have any questions or concerns about this privacy policy, please send us an email at ita.webservices@lacity.org.


|
ActiveTcl User Guide
|
||
Tk_DrawFocusHighlight - draw the traversal highlight ring for a widget
#include <tk.h>
Tk_DrawFocusHighlight(tkwin, gc, width,
drawable)
Tk_DrawFocusHighlight is a utility procedure that draws the traversal highlight ring for a widget. It is typically invoked by widgets during redisplay.
Copyright © 1995-1996 Sun Microsystems, Inc. Copyright © 1995-1997 Roger E. Critchlow Jr.


One night I was desperate to snort something other then cocaine so I decided to snort some Neurontin that my doctor had just prescribed me. When I realized how much I was going to have to snort, I decided to just snort 2 of the 300mg pills then swallow the rest.
Snorting the pills was not pleasant. As an ex-cocaine user, I have a powerful attachment to the snorting process and love everything about it - how it feels, the drip, etc. However much the Neurontin looked like cocaine though it was no coke. The powder burned rather bad when I snorted it and the drip was much worse then anything I had ever used before. It was sour and bitter and burned a little.
I started the night off extremely nauseated. I went to a club with a friend from high school and one of her new friends from college, a rather attractive boy. During the set we went to see, I felt pretty energetic and liked to move around and I attribute this to the Neurontin. I especially liked shaking my head it felt very nice. By the time we left the club at around 11pm (about 1 1/2 hours after first inhaling) I needed to throw up and I did.
We went to a quirky coffee shop and I ordered some mint tea to calm my stomach. I drank it but it did nothing. I threw up 2 more times at the restaurant. However, I am normally VERY shy, especially around cute single boys, and I could tell I was very social. I chatted and was witty and in a generally good mood. The problem was the nausea.
By midnight we decided to go to a hookah bar. At this point my stomach was in a lot of pain. I had fun talking and laughing and smoking and being social, but had to excuse myself 4 times to go vomit in the restroom. My friend had ordered a glass of wine and I had a sip to taste but just the little sip made me sick. I knew I wanted to smoke some pot to calm my stomach but we didn't have any so I just tried to pretend like I wasn't sick.
We finally got back to my friend's house around 2am, and by this point the social buzzy feeling had left and I was left feeling sort of nonchalant/apathetic and sort of dull. The boy I was with started touching me and hugging me and kissing my neck during the long car ride home and that felt VERY good but I don't attribute that to the Neurontin.
 I cannot say that I didn't want to - I did at the time - but the mood I was in coming down from the Neurontin made me feel indifferent and open to anything without really thinking things through and it just seemed natural to sleep with him, even though to my personality doing so much that fast was definitely not natural. Even during the sex the nausea continued, as I had to get up twice during foreplay to go gag (at this point I had nothing left in my stomach to vomit). It probably would have been really embarrassing if my mood wasn't so completely stabilized by the Nuerontin (a mood stabilizer!) I just wasn't feeling or expressing much emotion.
My friend says I was acting pretty normal that night, except for I was slightly more talkative, and sometimes my speech drawled, starting to slur but very slightly. She told me I kept talking about all the 'good vibes' around me. I for certain didn't feel high, at all, in any way. My mood was slightly altered but at the time I felt completely normal, sober.
Experience Reports are the writings and opinions of the individual authors who submit them.
Some of the activities described are dangerous and/or illegal and none are recommended by Erowid.


How would you like to split the bill?
One bill, altogether
All separate
Evenly between X people
Create custom bills


The various Datasets we are given by customers are not under our control, tend to be quite large, sometimes deep in terms of information structure and can be quite onerous to fill in.
As a result a robust visual hierarchy is required which is flexible enough to cater for a deep structure (context is important) which can grow with a large input of data (eg repeating concepts)
is required to allow the User to easily understand the logical connections between the multiple fields on the form. As a result he/she can navigate the various data fields needing to be filled in with a low cognitive load. This should help to
The


Pat's Salmon Cookies
The place for a great bite...!!
Home
Sales Information
Enter a new shop here: Name, custMin, custMax and Avg Sales:
Location
MaxCust
MinCust
AvgSales
Submit New Shop
Submit New Shop
Salmon Cookies Sales Figures:
Contact Info:
2345 Vines Street
Seattle, WA
65787


To Do When You Think You Have Nothing To Do
Just Do Something!
Drink some water
Go for a walk
Optuma/CMT
cadCAD Tutorials
Bosch Lectures (101 Level)
Maker Lectures (201 Level)


I have used C#, .NET Framework and Windows Forms to create a lightweight application designed for aiding both Dungeon Masters and D&D players by performing a wide range of functions such as dice rolls, instantaneous random character creation and spell/creature cataloging. This is a project I am working on continuously and hope sees commercial use one day


INDEX
UPLOAD A FUEL
LIST ALL FUEL
CHECK FUEL PROPERTY
If you want to upload your fuel type, please, use this form:


Phone Number
(425) 749-9901
Amanda Lin, a native Chinese speaker, grew up in Taiwan. She loves Chinese culture and folk art. She has been teaching Saturday Chinese School for 9 years. She coordinates Chinese Culture youth camp for her Chinese school and teaches Chinese folk art to local youth clubs and community.
As a Chinese teacher, Amanda Lin believes learning Chinese is not only practicing the language itself. Chinese culture and folk art should be also introduced to students. Culture and folk art bring the spirit to the language. They will make the language learning process become more interactive, vivid and fun.
Lynn Trinh, Lynn is fasinated about world culture through people, art and architecture. She has been teaching for over 13 years sharing with children its richness through interactive curriculum to engage learning while having fun.


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--- layout: post title: Video with flash on the iPhone 4 date: 2010-06-24 02:01:36.000000000 -07:00 type: post published: true status: publish categories: [] tags: [] meta: {} author: ---
Sent via iPhone


[1]
Utility,range, ease of use.; Slow if you like that sort of thing
[2]
Works well in all light conditions!; Door over card slot comes open easily.


This is the root package of SALT's TBX validation and editing library and applications. It is designed to be usable not only as a stand-alone validation system, but to be linked against to build TBX class graphs in other applications.
The TBXFile is a front end interface to the TBX parser and XCS parser system to allow quick parsing and validation of TBX documents. The limitations of the default implementation is that the entire TBX document is loaded into memory during the XML parse and XCS validation phases.
If a large TBX file is to be validated then the following code should be used:
File file = new File("SampleTBX.xml");
TBXFile tbxfile = new TBXFile(file);
TBXParser tbxparser = tbxfile.getTBXParser();
TBXDocument tbxdocument = new TBXDocument(false);
tbxparser.setTBXDocument(tbxdocument);
tbxparser.addObserver(myObserver);
tbxfile.parseAndValidate();
This copyright and license applies to all files in the org.ttt.salt package and subpacakges.
Copyright 2000 Lance Finn Helsten (helsten@acm.org).
Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with the License. You may obtain a copy of the License at http://www.apache.org/licenses/LICENSE-2.0.
Unless required by applicable law or agreed to in writing, software distributed under the License is distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the License for the specific language governing permissions and limitations under the License.
Version: $Id: package.html 624 2007-10-02 18:05:36Z lance $


Subbin
03 Nov 2015 04:21:00 pm
The Hindu tradition relates diamonds to the planet Venus. Diamond, king of all crystals represent faithfulness, love, purity, innocence, and relationships filled with love. It removes certain types of deviations
Subbin
03 Nov 2015 04:21:00 pm
The Hindu tradition relates diamonds to the planet Venus. Diamond, king of all crystals represent faithfulness, love, purity, innocence, and relationships filled with love. It removes certain types of deviations
-
The Hindu tradition relates diamonds
-
The Hindu tradition relates diamonds
-
The Hindu tradition relates diamonds
Comments
Subbin
03 Nov 2015 04:21:00 pm
The Hindu tradition relates diamonds to the planet Venus. Diamond, king of all crystals represent faithfulness, love, purity, innocence, and relationships filled with love. It removes certain types of deviations
-
The Hindu tradition relates diamonds
-
The Hindu tradition relates diamonds
-
The Hindu tradition relates diamonds
Comments
The Hindu tradition relates diamonds
The Hindu tradition relates diamonds
The Hindu tradition relates diamonds


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