Demonstrate inference in undirected markov chain
Based on http://www.cs.ubc.ca/~schmidtm/Software/UGM/chain.html
Contents
Setup model
nNodes = 60; adj = chainAdjMatrix(nNodes); nStates = 7*ones(1,nNodes); initial = [.3 .6 .1 0 0 0 0]; nodePot = zeros(nNodes,nStates); nodePot(1,:) = initial; nodePot(2:end,:) = 1; edgePot = [.08 .9 .01 0 0 0 .01 .03 .95 .01 0 0 0 .01 .06 .06 .75 .05 .05 .02 .01 0 0 0 .3 .6 .09 .01 0 0 0 .02 .95 .02 .01 0 0 0 .01 .01 .97 .01 0 0 0 0 0 0 1]; % Conditional inferenec fails using Chain due to a bug %method = 'Chain'; method = 'Tree'; model = mrf2Create(adj, nStates, 'nodePot', nodePot, 'edgePot', edgePot, ... 'method', method);
Unconditional inference
map = mrf2Map(model) [nodeBel, edgeBel, logZ] = mrf2InferNodesAndEdges(model); setSeed(0); samples = mrf2Sample(model, 100); figure; imagesc(samples); colorbar;
map = Columns 1 through 7 2 2 2 2 2 2 2 Columns 8 through 14 2 2 2 2 2 2 2 Columns 15 through 21 2 2 2 2 2 2 2 Columns 22 through 28 2 2 2 2 2 2 2 Columns 29 through 35 2 2 2 2 2 2 2 Columns 36 through 42 2 2 2 2 2 2 2 Columns 43 through 49 2 2 2 2 2 2 2 Columns 50 through 56 2 2 2 2 2 2 2 Columns 57 through 60 2 2 2 2
Conditional inference
Based on http://www.cs.ubc.ca/~schmidtm/Software/UGM/condition.html
clamped = zeros(nNodes,1); clamped(10) = 6; map = mrf2Map(model, clamped) [nodeBel, edgeBel, logZ] = mrf2InferNodesAndEdges(model, clamped); setSeed(0); samples = mrf2Sample(model, 100, clamped); figure; imagesc(samples); colorbar;
map = Columns 1 through 7 3 6 6 6 6 6 6 Columns 8 through 14 6 6 6 6 6 6 6 Columns 15 through 21 6 6 6 6 6 6 6 Columns 22 through 28 6 6 6 6 6 6 6 Columns 29 through 35 6 6 6 6 6 6 6 Columns 36 through 42 6 6 6 6 6 6 6 Columns 43 through 49 6 6 6 6 6 6 6 Columns 50 through 56 6 6 6 6 6 6 6 Columns 57 through 60 6 6 6 6


Pope Francis arrives in Thailand at start of Asia trip
His translator in Thailand will be his cousin and childhood friend, Sister Ana Rosa Sivori, 77, who has worked in Thai schools for more than 50 years
Pope Francis arrived in Thailand on Wednesday to meet with the country's small but devoted Catholic minority on a seven-day Asian trip that will include a family reunion in Bangkok and take his anti-nuclear message to Japan.
The pope's plane touched down outside Bangkok around midday for a visit that coincides with the 350th anniversary of the first papal mission in Siam, the former name of Thailand.
"Dear friends in Thailand and Japan, before we meet, let us pray together that these days may be rich in grace and joy," read a message on the pontiff's official Twitter account before he left the Vatican.
Catholics are a tiny minority in mostly Buddhist Thailand, accounting for less than 2 per cent of the population.
Pope Francis will meet King Maha Vajiralongkorn, as well as the supreme Buddhist patriarch and Catholic leaders and students before he moves on to Japan on Saturday.
His translator in Thailand will be his cousin and childhood friend, Sister Ana Rosa Sivori, 77, who has worked in Thai schools for more than 50 years.


Economics and Platform Architecture (Part 2)
In this series of articles outlined the impact that the economics of scarcity has had on both software architectures and the structure of the computer industry over the last forty years. Part II of the article will discuss the transition from the economics of scarcity to the economics of abundance and how profoundly that has altered - and continues to alter - the computing landscape.
The introduction of the IBM PC in the early 80’s laid the foundation for a transformation in the economic model of the computing industry. IBM broke with its traditional model when it outsourced the supply of the computer processor and operating system for its Personal Computer (PC.) Little did IBM know that this single decision would transform an industry. The decision to source processors from Intel and an operating system from Microsoft and to not bind both these suppliers to exclusive supply agreements created the opportunity to build a 3rd party PC industry based IBM’s generic blueprint. The market for PCs grew and other players such as Compaq created competitive alternatives to IBM. The highly competitive dynamics of the PC industry based on the open hardware blueprint created by IBM had very direct consequences.
Rampant competition within the nascent PC industry kept prices under control and yet each vendor’s hardware ran the same DOS - and subsequently Windows - operating system licensed from Microsoft. This in turn meant that every PC sold became an available ‘socket’ for a growing ecosystem of application software developers. The same application would run without modification on every model of PC. The combination of these factors lead to exponential growth in the sales of PCs and this growth lead to vast economies of scale in the production of microprocessors, disk storage and memory chips. All of this was enabled by dramatic improvements in hardware fabrication technology - largely following Gordon Moore’s law. As a result we have witnessed an approximate doubling in computational capacity, program memory and disk storage capacity every 12-18 months continuously for over forty years.
In the early 2000’s the computing industry reached a tipping point where hardware capacities started to outstrip the demands of application software. The industry was about to transition from economics of scarcity to the economics of abundance. The impacts of this transition were - and continue to be - profound. The economics of abundance mean that hardware resources can be viewed as essentially unlimited. It is interesting to note that it was at this time that Intel entered the software business. It did so because it felt the need to incubate new software technologies which would utilize the full capacity of the chips it was producing. If processor capacity far outpaces the demands of Microsoft Windows, Office and a Web Browser then consumers do not need to upgrade their machines that often - and that is bad for Intel’s business.
It is hard to understate the impact of this transition from scarce to abundant computing resources. The iPhone is a child of this transition. The economics of producing a completely integrated, highly functional, software services based smartphone could only be achieved in an era of hardware resource abundance. An environment where underlying hardware resources are - to all intents - a limitless commodity changes the calculus of software development. It is helpful to consider the Linux operating systems as an exemplar of these changes.
During the period when the economics of scarcity reined the most direct analog to Linux was its precursor the UNIX operating system invented at AT&T’s Bell Labs. UNIX was designed to be a general-purpose operating system which could run on many different types of underlying hardware. However, when hardware resources are scare the operating system needs to be customized to be as efficient as possible on each different hardware platform. But tuning UNIX in this way created so much divergence across the UNIX family that it could no longer be considered a single operating system. Applications written to run on one variant of UNIX were not guaranteed to run on any other variant. The UNIX ecosystem never developed or benefited from the same economies of scale witnessed by the IBM PC ecosystem.
Linux on the other hand is an operating system which benefits from the economics of abundance. So much computational capacity is now available that some of this capacity can be “wasted” by layers of software designed to decouple application developers and users from differences in underlying operating system and hardware platforms. This ability to “waste” computing cycles on decoupling means that Linux truly has become a general purpose operating system. From a historic perspective Linux’s hardware adaptability is truly astounding. You can now run a single operating system on almost any hardware architecture available; from the smallest Raspberry Pi to the largest IBM Mainframe machine. In general an application written for one Linux distribution will run unchanged on any other. Such adaptability would have been unthinkable in the era of scarce hardware resources.
This Linux examples still relates to an environment where there is a one-to-one relationship between a computer - hardware - and the operating system and application software running on it. Applications written for the Linux operating system still only run on Linux and will not run - without major modification - on Microsoft’s Windows or Apple’s OS X operating system. But computing resource abundance has now enabled even this problem to be solved, allowing multiple different operating system and application ecosystems to happily share a common underlying hardware platform.
Part III of this article will examine how the ability to now share abundant hardware resources across many application workloads is transforming computing architectures and ultimately lead to the emergence of cloud computing.


Aircraft Mode Shapes
3D
Lateral
Longitudinal
Mode Shape:
1st
2nd
3rd
4th
5th
6th
7th
8th
9th
10th
11th
12th
13th
Slower
Slow
Eigenvalue (undamped natural frequency $\omega$) :
$98.33$
$\mathrm{rad/s}$


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I am learning to make stuff and things using code school tutorials
I should really write some content to fill these paragraph with
Contact me in person, or call me if you have my number click here


Deputy minister urges public to voice opinion on seven-day paternity leave
KUALA LUMPUR, Nov 15 — Those keen on getting a seven-day paternity leave for the private sector should continue to voice their opinion on the matter, said Deputy Women, Family and Community Development Minister Hannah Yeoh.
She said although a three-day paternity leave for the private sector has been proposed, some viewed this as insufficient.
“This debate is ongoing. So I urge those of you who are passionate about this issue to make your views known,” she told the audience, mostly made up of parents, at the Sunfert Group 10th anniversary celebration here today.
Yeoh also noted that the private sector and trade unions, for example, may resist the idea.
“So you have to make your voice known because if you want to improve this for young families, this matter must be looked at,” she said.
It was reported that the Human Resources Ministry hoped to propose the implementation of the seven days paternity leave for the private sector to the Cabinet soon. — Bernama


Cloud Engineer 2021-06-23T18.06.01
https://www.reddit.com/r/sysadmin/comments/8inzn5/so_you_want_to_learn_aws_aka_how_do_i_learn_to_be/
So many people struggle with where to get started with AWS and cloud technologies in general. There is popular "How do I learn to be a Linux admin?" post that inspired me to write an equivalent for cloud technologies. This post serves as a guide of goals to grow from basic AWS knowledge to understanding and deploying complex architectures in an automated way. Feel free to pick up where you feel relevant based on prior experience.
Assumptions:
- You have basic-to-moderate Linux systems administration skills
- You are at least familiar with programming/scripting. You don't need to be a whiz but you should have some decent hands-on experience automating and programming.
- You are willing to dedicate the time to overcome complex issues.
- You have an AWS Account and a marginal amount of money to spend improving your skills.
How to use this guide:
This is not a step by step how-to guide.
You should take each goal and "figure it out". I have hints to guide you in the right direction.
Google is your friend. AWS Documentation is your friend. Stack Overflow is your friend.
Find out and implement the "right way", not the quick way. Ok, maybe do the quick way first then refactor to the right way before moving on.
Shut down or de-provision as much as you can between learning sessions. You should be able to do everything in this guide for literally less than $50 using the AWS Free Tier. Rebuilding often will reinforce concepts anyway.
Skip ahead and read the Cost Analysis and Automation sections and have them in the back of your mind as you work through the goals.
Lastly, just get hands on, no better time to start then NOW.
Project Overview
This is NOT a guide on how to develop websites on AWS. This uses a website as an excuse to use all the technologies AWS puts at your fingertips. The concepts you will learn going through these exercises apply all over AWS.
This guide takes you through a maturity process from the most basic webpage to an extremely cheap scalable web application. The small app you will build does not matter. It can do anything you want, just keep it simple.
Need an idea? Here: Fortune-of-the-Day - Display a random fortune each page load, have a box at the bottom and a submit button to add a new fortune to the random fortune list.
Account Basics
Create an IAM user for your personal use.
Set up MFA for your root user, turn off all root user API keys.
Set up Billing Alerts for anything over a few dollars.
Configure the AWS CLI for your user using API credentials.
Checkpoint: You can use the AWS CLI to interrogate information about your AWS account.
Web Hosting Basics
Deploy a EC2 VM and host a simple static "Fortune-of-the-Day Coming Soon" web page.
Take a snapshot of your VM, delete the VM, and deploy a new one from the snapshot. Basically disk backup + disk restore.
Checkpoint: You can view a simple HTML page served from your EC2 instance.
Auto Scaling
Create an AMI from that VM and put it in an autoscaling group so one VM always exists.
Put a Elastic Load Balancer infront of that VM and load balance between two Availability Zones (one EC2 in each AZ).
Checkpoint: You can view a simple HTML page served from both of your EC2 instances. You can turn one off and your website is still accessible.
External Data
Create a DynamoDB table and experiment with loading and retrieving data manually, then do the same via a script on your local machine.
Refactor your static page into your Fortune-of-the-Day website (Node, PHP, Python, whatever) which reads/updates a list of fortunes in the AWS DynamoDB table. (Hint: EC2 Instance Role)
Checkpoint: Your HA/AutoScaled website can now load/save data to a database between users and sessions
Web Hosting Platform-as-a-Service
Retire that simple website and re-deploy it on Elastic Beanstalk.
Create a S3 Static Website Bucket, upload some sample static pages/files/images. Add those assets to your Elastic Beanstalk website.
Register a domain (or re-use and existing one). Set Route53 as the Nameservers and use Route53 for DNS. Make www.yourdomain.com go to your Elastic Beanstalk. Make static.yourdomain.com serve data from the S3 bucket.
Enable SSL for your Static S3 Website. This isn't exactly trivial. (Hint: CloudFront + ACM)
Enable SSL for your Elastic Beanstalk Website.
Checkpoint: Your HA/AutoScaled website now serves all data over HTTPS. The same as before, except you don't have to manage the servers, web server software, website deployment, or the load balancer.
Microservices
Refactor your EB website into ONLY providing an API. It should only have a POST/GET to update/retrieve that specific data from DynamoDB. Bonus: Make it a simple REST API. Get rid of www.yourdomain.com and serve this EB as api.yourdomain.com
Move most of the UI piece of your EB website into your Static S3 Website and use Javascript/whatever to retrieve the data from your api.yourdomain.com URL on page load. Send data to the EB URL to have it update the DynamoDB. Get rid of static.yourdomain.com and change your S3 bucket to serve from www.yourdomain.com.
Checkpoint: Your EB deployment is now only a structured way to retrieve data from your database. All of your UI and application logic is served from the S3 Bucket (via CloudFront). You can support many more users since you're no longer using expensive servers to serve your website's static data.
Serverless
Write a AWS Lambda function to email you a list of all of the Fortunes in the DynamoDB table every night. Implement Least Privilege security for the Lambda Role. (Hint: Lambda using Python 3, Boto3, Amazon SES, scheduled with CloudWatch)
Refactor the above app into a Serverless app. This is where it get's a little more abstract and you'll have to do a lot of research, experimentation on your own.
The architecture: Static S3 Website Front-End calls API Gateway which executes a Lambda Function which reads/updates data in the DyanmoDB table.
Use your SSL enabled bucket as the primary domain landing page with static content.
Create an AWS API Gateway, use it to forward HTTP requests to an AWS Lambda function that queries the same data from DynamoDB as your EB Microservice.
Your S3 static content should make Javascript calls to the API Gateway and then update the page with the retrieved data.
Once you have the "Get Fortune" API Gateway + Lambda working, do the "New Fortune" API.
Checkpoint: Your API Gateway and S3 Bucket are fronted by CloudFront with SSL. You have no EC2 instances deployed. All work is done by AWS services and billed as consumed.
Cost Analysis
Explore the AWS pricing models and see how pricing is structured for the services you've used.
Answer the following for each of the main architectures you built:
Roughly how much would this have costed for a month?
How would I scale this architecture and how would my costs change?
Architectures
Basic Web Hosting: HA EC2 Instances Serving Static Web Page behind ELB
Microservices: Elastic Beanstalk SSL Website for only API + S3 Static Website for all static content + DynamoDB Table + Route53 + CloudFront SSL
Serverless: Serverless Website using API Gateway + Lambda Functions + DynamoDB + Route53 + CloudFront SSL + S3 Static Website for all static content
Automation
!!! This is REALLY important !!!
These technologies are the most powerful when they're automated. You can make a Development environment in minutes and experiment and throw it away without a thought. This stuff isn't easy, but it's where the really skilled people excel.
Automate the deployment of the architectures above. Use whatever tool you want. The popular ones are AWS CloudFormation or Teraform. Store your code in AWS CodeCommit or on GitHub. Yes, you can automate the deployment of ALL of the above with native AWS tools.
I suggest when you get each app-related section of the done by hand you go back and automate the provisioning of the infrastructure. For example, automate the provisioning of your EC2 instance. Automate the creation of your S3 Bucket with Static Website Hosting enabled, etc. This is not easy, but it is very rewarding when you see it work.
Continuous Delivery
As you become more familiar with Automating deployments you should explore and implement a Continuous Delivery pipeline.
Develop a CI/CD pipeline to automatically update a dev deployment of your infrastructure when new code is published, and then build a workflow to update the production version if approved. Travis CI is a decent SaaS tool, Jenkins has a huge following too, if you want to stick with AWS-specific technologies you'll be looking at CodePipeline.
Miscellaneous / Bonus
These didn't fit in nicely anywhere but are important AWS topics you should also explore:
IAM: You should really learn how to create complex IAM Policies. You would have had to do basic roles+policies for for the EC2 Instance Role and Lambda Execution Role, but there are many advanced features.
Networking: Create a new VPC from scratch with multiple subnets (you'll learn a LOT of networking concepts), once that is working create another VPC and peer them together. Get a VM in each subnet to talk to eachother using only their private IP addresses.
KMS: Go back and redo the early EC2 instance goals but enable encryption on the disk volumes. Learn how to encrypt an AMI.
Final Thoughts
I've been recently recruiting for Cloud Systems Engineers and Cloud Systems Administrators. We've interviewed over a dozen local people with relevant resume experience. Every single person we interviewed would probably struggle starting with the DynamoDB/AutoScaling work. I'm finding there are very few people that HAVE ACTUALLY DONE THIS STUFF. Many people are familiar with the concepts, but when pushed for details they don't have answers or admit to just peripheral knowledge. You learn SO MUCH by doing.
If you can't find an excuse or get support to do this as part of your job I would find a small but flashy/impressive personal project that you can build and show off as proof of your skills. Open source it on GitHub, make professional documentation, comment as much as is reasonable, and host a demo of the website. Add links to your LinkedIn, reference it on your resume, work it into interview answers, etc. When in a job interview you'll be able to answer all kinds of real-world questions because you've been-there-done-that with most of AWS' major services.
I'm happy to hear any feedback. I'm considering making THIS post my flashy/impressive personal project in the form of a GitHub repo with sample code for each step, architecture diagrams, etc.


You can put any Markup in here ...
Open Custom
Custom Modal
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This is a tiny modal ...
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No overlay for modals
This modal is totally spinning
Accessibility Modal Example


Steps To Become A Doctor
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"I have seen planes leveled and all life rendered to dust. It brought no pleasure, even to a heart as dark as mine."
There is more at stake on Tarkir than the fate of Sarkhan and the clans. Elsewhere, the world-devouring entities known as the Eldrazi have arisen to feed on the planes of the Multiverse, and the key to stopping them may lie on Tarkir.
The vampire Planeswalker Sorin Markov was one of three Planeswalkers who trapped the Eldrazi on the plane of Zendikar thousands of years ago, the other two being the Lithomancer and Ugin, the spirit dragon. Now that the Eldrazi have awakened once more, Sorin is on a mission to reunite with these Planeswalkers.
But the Lithomancer's whereabouts are unknown, and Sorin has not encountered Ugin for over a thousand years. In an attempt to track Ugin down, Sorin has traveled to Tarkir, where the spirit dragon formed an important part of the planar ecosystem.
In one version of history, Sorin found Ugin's bones in an icy chasm on Tarkir. But in the altered timeline created by Sarkhan Vol, Ugin is alive, encased in a protective cocoon for many centuries. Sorin's quest to find Ugin ends in success, and the two agree to combat the Eldrazi menace together on Zendikar.


When you insert apply plugin: 'org.akhikhl.gretty'
to "build.gradle", Gretty plugin facilitates the project with the following gradle tasks:
| Tasks | Purpose | Servlet container | Stopped by | Uses WAR | Debug |
|---|---|---|---|---|---|
Starts web-app |
defined by gretty.servletContainer |
keypress |
no |
no |
|
Starts web-app |
defined by gretty.servletContainer |
keypress |
no |
yes |
|
Starts web-app |
defined by gretty.servletContainer |
keypress |
yes |
no |
|
Starts web-app |
defined by gretty.servletContainer |
keypress |
yes |
yes |
|
Starts web-app |
defined by gretty.servletContainer |
appStop |
no |
no |
|
Starts web-app |
defined by gretty.servletContainer |
appStop |
no |
yes |
|
Starts web-app |
defined by gretty.servletContainer |
appStop |
yes |
no |
|
Starts web-app |
defined by gretty.servletContainer |
appStop |
yes |
yes |
|
Stops web-app |
- |
- |
- |
- |
|
Restarts web-app |
- |
- |
- |
- |
|
Starts app before integration test. |
defined by gretty.servletContainer |
appAfterIntegrationTest |
no |
no |
|
Stops app after integration test. |
- |
- |
- |
- |
|
Starts web-app |
jetty |
keypress |
no |
no |
|
Starts web-app |
jetty |
keypress |
no |
yes |
|
Starts web-app |
jetty |
keypress |
yes |
no |
|
Starts web-app |
jetty |
keypress |
yes |
yes |
|
Starts web-app |
jetty |
jettyStop |
no |
no |
|
Starts web-app |
jetty |
jettyStop |
no |
yes |
|
Starts web-app |
jetty |
jettyStop |
yes |
no |
|
Starts web-app |
jetty |
jettyStop |
yes |
yes |
|
same as appStop |
- |
- |
- |
- |
|
same as appRestart |
- |
- |
- |
- |
|
Starts web-app |
tomcat |
keypress |
no |
no |
|
Starts web-app |
tomcat |
keypress |
no |
yes |
|
Starts web-app |
tomcat |
keypress |
yes |
no |
|
Starts web-app |
tomcat |
keypress |
yes |
yes |
|
Starts web-app |
tomcat |
tomcatStop |
no |
no |
|
Starts web-app |
tomcat |
tomcatStop |
no |
yes |
|
Starts web-app |
tomcat |
tomcatStop |
yes |
no |
|
Starts web-app |
tomcat |
tomcatStop |
yes |
yes |
|
same as appStop |
- |
- |
- |
- |
|
same as appRestart |
- |
- |
- |
- |


| Beharvior | Send | Link |
|---|---|---|
| Get all users setting pagination | /users/rows/(:page) | All Users |
| Get unique user passed id | /users/row/(:id) | Get User |
| Beharvior | Send | Link |
|---|---|---|
| Create new user | /users/create | Create new User |
| Beharvior | Send | Link |
|---|---|---|
| Update user passed id | /users/update/(:id) | Update User |
| Comment | Send | Link |
|---|---|---|
| Delete user passed id | /users/delete/(:id) | Delete User |


{% extends "_base.html" %} {% block title %}{% endblock %} {% block content %}
| # | Name | Favorite Donut | Store # | |||
|---|---|---|---|---|---|---|
| {{employee.id}} | {{employee.first_name}} {{employee.last_name}} | {{employee.email}} | {{employee.favorite_donut}} | {{employee.shop_id}} | Edit | Delete |


Scroll down to view landslide and avalanche map.
You can download Yeti for free on the Apple Store or Google Play.


Welcome to Carole's website
This week we learned 3D-scan and print 'myself'by 3D-printer.
Thanks for visiting


--- layout: post title: My notebook date: '2006-05-25T12:00:00-04:00' tags: - '2006' tumblr_url: http://poetry.liabogoev.com/post/49076642929/my-notebook ---
A notebook holds my soul,
The pencil fills it up,
With thoughts and songs, and poems.
I write and write and write,
To fill my soul,
And empty my mind.
I fill the pages,
With scribbles and scrawls,
With drawings and diagrams,
And lists.
I fill the pages,
‘Till they can take no more,
Then I write around the edges,
And sign my name at the bottom.
I write ‘till the moon shines,
Overhead,
Lighting the pages,
Overflowing with words,
With feelings, emotions, and poems,
With stories and sunsets,
And the wars of the world,
Pages and pages,
Of people and things,
Flowers and doves,
And oceans and seas.
And I write ‘till I can’t,
‘Till my arm is bursting,
With pain, effort, and all the things,
In my notebook
My notebook is full,
Full to the covers,
Everywhere is scribbled on,
Written on, with the words
Of my soul.
I have to find a new one,
And start over,
And write about anything,
And everything,
In poems, scribbles and scrawls,
In drawings, diagrams and lists.
I’ll write ‘till I fill that one up,
Full to the covers,
Then I’ll start over,
With a blank notebook.
My notebook.


- Competition:
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Unhealthy drinks & snacks!
Please insert coin :
1: Coke - 80c
2: Pepsi - 90c
3: Candy bar - €1.20
4: Lollipops - €1
5: Jelly beans - €1.50


| Id | Status | Progress | Fees | Commission | Rating | Start Date | End Date | Start Time | End Time | Amount Received | Mentor Id | Technology Id | Action |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| {{training.id}} | {{training.status}} | {{training.progress}} | {{training.fees}} | {{training.commissionAmount}} | {{training.rating}} | {{training.startDate}} | {{training.endDate}} | {{training.startTime}} | {{training.endTime}} | {{training.amountReceived}} | {{training.mentor.mentorId}} | {{training.technologies.techid}} |


SmiLib v2.0
SmiLib is a free, platform indepentend software tool for rapid combinatorial library enumeration in the flexible and portable SMILES notation. SmiLib enumerates combinatorial libraries at rates of approximately 9,000,000 molecules per minute on fast computers.
If you wish to publish results obtained with SmiLib, please cite:
Copyright © 2006-2008, Johann Wolfgang Goethe-Universität, Frankfurt am Main, Germany. All rights reserved. Use is subject to license terms.
Current version: 2.0 rc4. A convenience method to run SmiLib as a Java library from within your own Java projects was added. Please see the change log for a list of program modifications.
Run SmiLib
SmiLib is available as a Java Web Start graphical user interface program.
Java Runtime Environment (JRE) is needed to run SmiLib.
Download SmiLib Files
Unzip and run with "java -jar SmiLib.jar".
Java Runtime Environment (JRE) is needed to run SmiLib.
> Download SmiLib v2.0 rc4 API documentation <
> Download SmiLib v2.0 rc4 source code <
> Download SmiLib v2.0 user manual <
SmiLib v2.0 is available under the terms of the The SmiLib License.
Contact the Authors
SMILIB v1.0 was developed by Andreas Schüller during an internship under supervision of Dr. Evgeny Byvatov and Prof. Dr. Gisbert Schneider at the Johann Wolfgang Goethe-University, Frankfurt am Main, Germany.
SmiLib v2.0 was developed by Volker Hähnke during an internship under supervision of PhD student Andreas Schüller and Prof. Dr. Gisbert Schneider at the Johann Wolfgang Goethe-University, Frankfurt am Main, Germany.
Enquiries should be addressed to Andreas Schüller.
If you have questions concerning the details of the program, please consult the manual and publication.
References:


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To get started, complete basic info about your essay.
Next, choose an upload format based on the content.
What is a CSV? A CSV document, or a comma separated values document, is similar to a spreadsheet but uses commas to separate columns of data.This format allows the program we use to easily take in data.
Select the amount of grading criteria you are grading on and enter them into the fields (Ex: Grammar, Voice, Ideas).
You can click any of the numbered boxes under the Text box to edit the text or grade of the essay you select, as well as delete an essay.
When you are completely done with add essays, you can download your CSV file by selecting "Download CSV."
You can change the scores and the document in the text box.
Once you are done, select the "Replace" button to save the changes to your grades and text.
If you choose not to change the document upon editing, you can click "Cancel" to cancel the editing.
If you wish to delete the selected essay, select the document number box and click the "Delete" button.


-
PostScript
Type1
-
PostScript Multiple Master
-
CID
keyed fonts
-
PostSript
Type2
-
PostScript Type3
-
PostScript Type14 (Chameleon)
-
The PLRM (5.8.1) documents that this font format is undocumented.
-
PostScript
Type42
-
Adobe
Feature File (fea)
-
(FontForge's implementation of this format
is a superset of what Adobe accepts, and a superset of what Adobe documents.
Neither can completely describe opentype. Adobe claims they will update the
feat spec in late 2007).
-
AFM
-
PFM
-
NTF
-
This format is supposed to replace the pfm files above in windows >2000.
I can't find any docs on it.
-
BDF
-
True Type Standard
(Sadly different sources have slightly different definitions of less important
parts of the standard, be warned)
-
Apple (I find Apple's
prose difficult, and sometimes misleading. I suggest using a different source
when possible)
-
Microsoft
-
random useful site
-
TTC
-- True Type Font Collection
-
Apple
Advanced Typography extensions to TrueType
-
Apple distortable font (variation tables) -- vaguely equivalent to Multiple
Master fonts for TrueType
-
fvar
(font variations)
-
gvar
(glyph variations)
-
cvar
(cvt variations)
-
avar
(axis variations)
-
OpenType (postscript embedded in a truetype wrapper,
or advanced typography tables in a truetype wrapper)
-
Open Font Format Specification (ISO/IEC 14496-22:2007)
(based on OpenType 1.4 but an international standard)
-
Apple's
sfnt wrapper around a PS type1 font
-
Various bitmap only sfnt formats
-
WOFF
-- Web Open Font Format, mozilla's compressed sfnt format
-
PostScript
Type42 (the opposite of opentype, it's truetype embedded in postscript)
-
SVG 1.1 fonts
-
Macintosh font formats
-
Windows raster font formats
-
X11 pcf format
-
PC Screen
Font (psf/psfu/psf2)
-
TeX font formats
-
SIL
Graphite Fonts (smart font extension to TrueType. Additional tables
containing rules for composing, reordering, spacing, etc. glyphs)
-
Palm pilot fonts (pdb files)
-
OpenDoc.
Sadly Proprietary so I shan't support it.
-
Acorn
RISC OS font format (these fonts are often zipped up with a non-standard
zip).
-
Ikarus IK format is documented in Peter Karow's book Digital Formats for
Typefaces, Appendices G&I. (copies may still be available from
URW++)
Interestingly the exact format of a curve is up to the interpretation program.
-
sfd files (FontForge's internal spline font
database format)
-
cidmap files (Fontforge's format for mapping
cids to unicode)
-
XML formats
-
TTX -- TrueType XML
-
UFO &
GLIF
-- Unified font objects & Glyph Interchange Format
Other font links
Font editor concepts
Karow, Peter, 1994, Font Technology, Description and Tools
Karow, Peter, 1987, Digital Formats for Typefaces
Hoenig, Alan TeX Unbound: LaTeX and TeX Strategies for Fonts, Graphics
& More
Knuth, Donald, 1979, TeX and METAFONT, New Directions in Typesetting
Interview
I was interviewed by the Open Source Publishing people at
LGM2. There's an
mp3 file of the interview
available on their site.
-- Prev --
TOC --


{% trans "You are seeing this message because you are not logged in" %}.
{% url 'account_signup' as account_signup %} {% url 'account_login' as account_login %}{% blocktrans %}Create an account (it will take you like 10 seconds, unless you are robot 🤖) or log in to get access to all the features.{% endblocktrans %}
{% trans "By using an account you get to" %}:
✓ {% trans "Vote in every list" %}.
✓ {% trans "Create lists." %}
✓ {% trans "See the results of lists and see what your friends have voted" %}.
✓ {% trans "This is and much more" %}.
🤝 {% trans "Sign Up" %} 😁 {% trans "Log In" %} {% trans "Play a demo list" %}


| wb | Download Data from the World Bank API |
| wbcache | Download an updated list of country, indicator, and source information |
| wbcountries | Download updated country and region information from World Bank API |
| wbdatacatalog | Download an updated list of the World Bank data catalog |
| wbincome | Download updated income type information from World Bank API |
| wbindicators | Download updated indicator information from World Bank API |
| wblending | Download updated lending type information from World Bank API |
| wbsearch | Search indicator information available through the World Bank API |
| wbsources | Download updated data source information from World Bank API |
| wbstats | wbstats: An R package for searching and downloading data from the World Bank API. |
| wbtopics | Download updated indicator topic information from World Bank API |
| wb_cache | Download an updated list of country, indicator, and source information |
| wb_cachelist | Cached information from the World Bank API |
| wb_cachelist_dep | Cached information from the World Bank API |
| wb_countries | World Bank Information End Points |
| wb_data | Download Data from the World Bank API |
| wb_end_point_info | World Bank Information End Points |
| wb_income_levels | World Bank Information End Points |
| wb_indicators | Download Avialable Indicators from the World Bank |
| wb_languages | World Bank Information End Points |
| wb_lending_types | World Bank Information End Points |
| wb_regions | World Bank Information End Points |
| wb_search | Search indicator information available through the World Bank API |
| wb_sources | World Bank Information End Points |
| wb_topics | World Bank Information End Points |


Taylor Smith is a graphic designer and frontend developer with a passion for the clean code, strong typography, great design, and other curiosities.
Luke Herrington
Luke is a Javascript developer who recently leveled up his Sass/Frontend Drupal skills. He enjoys learning new concepts and skills and then applying them. He does not enjoy writing bios.


jrstar96 and I ended up being late entries in this round of SSF.  We got together in PM and I think it worked out for the best, as we had the opportunity to discuss likes and many other things in more detail.
Given Jacob is from Austin I had to ask about BBQ, brisket, and Franklin. These goods represent these interests very well. Can't wait to try the BBQ sauce! Wish I could put the brisket stickers on my green egg but they'll have to go on the stand it uses. The glass is a Jester King with a sticker.
https://i.imgur.com/sbbLGYj.jpg
On to the beer! Casey, Jester King, and a group of other guys round out this awesome 12 bottle shipper. I love Bière de Garde as a style so that bottle should be a hit. The others are a Cut Elephant Heart, a Fruit Stand Montmorency Cherry, along with a Brett Loves Mosaic.
https://i.imgur.com/P8jV9uG.jpg
When I first become interested in sours Jester King hit the radar hardest on my wants. I actually haven't been fortunate to land many of them. I think this might be the most I've seen.
RU55 - classified as a Flanders. Another style I really enjoy that doesn't come up that often. Barrel aged, unfiltered, and unpasterized. Yes please.
SPON Raspberry and Cherry - only had one of the unblended so far and this one is my top pick among the fruited offerings!
Colour Five - blueberries in a sour seem like a hard offering to nail. Jacob has a blueberry sour in his box that just landed so we can compare notes
Figlet - this definitely gets claimed by the wife as soon as she sees the word fig on the bottle. She'll have to share though.
https://i.imgur.com/ZgsTlIU.jpg
And rounding out the rest of the box...
Blackberry Melomel from Texas Mead Works - never had anything from these guys but meads are a favorite style. And blackberries. Love em. Someone on here drinks this quite a bit so it must be solid.
Raspberry Sour from Adelbert's - never heard of these guys but always welcome the opportunity for something new
Collective Brewing's Dream Folk - this sounds awesome. Vanilla and citrus. Probably the first thing I'm going to try out of the lot
Pinthouse's Paloma Gose - in the crowler. Interesting. A tequila Gose? I couldn't find much about it but no concerns about trying it out.
https://i.imgur.com/ag7eCvu.jpg
Thanks for all this, Jacob! Can't wait to hit White Tiger in Athens and see your brother and you at Shelton Fest if y'all make it! I'm truly going to enjoy this haul.
Can't wait to see your post since your box just landed!


| Asset ID | Status | Home | Purchase Date | Purchase Price | Supplier | Comment | Actions |
|---|---|---|---|---|---|---|---|
| {{ instance.id }} | {{ instance.status.name }} | {{ instance.home.name }} | {{ instance.purchase_date | date : 'dd/MM/yyyy' }} | {{ instance.purchase_price | nullCurrency : "£" }} | {{ instance.supplier.name }} | {{ instance.comment }} |
|
| Add New: |
| Note | Date Added | Edit |
|---|---|---|
| {{ note.text }} | {{ note.date_added | date : "dd/MM/yyyy" }} |
|
This section lists quoted replacement costs for the equipment concerned.
The purpose of this is to keep track of the current best-estimate cost to replace equipment we own based on the most up to date quote we have, rather than the initial purchase price.
| Date | Supplier | Amount | Link | Notes | Edit |
|---|---|---|---|---|---|
| {{ quote.date | date : "dd/MM/yyyy" }} | {{ quote.supplier.name }} | {{ quote.amount | currency : "£" }} | Link | {{ quote.notes }} |
|


Server Application
Server software is installed on every SVIDIA DVR. The server software is the center of our DVRs, and carries out many of the core features that you won’t find with any other system. The software analyzes, compresses, streams, and records relevant video footage. Because of the seamless functionality of the server software, users can stream live and recorded video to connected clients, control I/O devices, and record to the database simultaneously with no interruptions. Below are some of the highlighted benefits of the server software:
S‑VIDIA server software renders the best possible performance for any camera, including analog, IP and Megapixel.
There is no server software maintenance required. Authorized users can also access the software and perform analytic functions like motion search from anywhere in the world.
The server software receives uncompressed video from the hardware for processing. The raw video is analyzed before it is compressed, for both noise (using NIP) and actual motion. This prior-to-compression analyses ensures whatever is important will be recorded and played back exactly as the camera sees it, and whatever is unimportant (noise) will never rob you of data storage space.
Not only does the software bring out the best performance in cameras, but it also self regulates for optimum software performance. Because S‑VIDIA systems allow up to 32 remote user connections to view live and recorded images simultaneously, it is imperative that each system manages resources effectively. The server software communicates between connected clients, allocating resources to the most vital tasks.
The server software is equipped to store even the most sensitive data. All outgoing video transmissions are passed through 128 bit encryption. Also, S‑VIDIA decryption keys change intermittently, ensuring secure transmission of data at all times.
"The future of this compression method lies in the hands of those who demand quality, depend on accuracy and clarity of evidence, and will benefit from our endless growing catalogue of security possibilities."
Copyright © 2017 SVIDIA LLC


Swarm filters
Estimated reading time: 18 minutesYou are viewing docs for legacy standalone Swarm. These topics describe standalone Docker Swarm. In Docker 1.12 and higher, Swarm mode is integrated with Docker Engine. Most users should use integrated Swarm mode — a good place to start is Getting started with swarm mode, Swarm mode CLI commands, and the Get started with Docker walkthrough). Standalone Docker Swarm is not integrated into the Docker Engine API and CLI commands.
Filters tell Docker Swarm scheduler which nodes to use when creating and running a container.
Configure the available filters
Filters are divided into two categories, node filters and container configuration filters. Node filters operate on characteristics of the Docker host or on the configuration of the Docker daemon. Container configuration filters operate on characteristics of containers, or on the availability of images on a host.
Each filter has a name that identifies it. The node filters are:
constraint
health
containerslots
The container configuration filters are:
affinity
dependency
port
When you start a Swarm manager with the swarm manage
command, all the filters
are enabled. If you want to limit the filters available to your Swarm, specify a subset
of filters by passing the --filter
flag and the name:
$ swarm manage --filter=health --filter=dependency
Note: Container configuration filters match all containers, including stopped containers, when applying the filter. To release a node used by a container, you must remove the container from the node.
Node filters
When creating a container or building an image, you use a constraint
or
health
filter to select a subset of nodes to consider for scheduling.
If a node in Swarm cluster has a label with key containerslots
and a number-value, Swarm does not launch more containers than the given number.
Use a constraint filter
Node constraints can refer to Docker’s default tags or to custom labels. Default
tags are sourced from docker info
. Often, they relate to properties of the Docker
host. Currently, the default tags include:
node
to refer to the node by ID or namestoragedriver
executiondriver
kernelversion
operatingsystem
Custom node labels you apply when you start the docker daemon
, for example:
$ docker daemon --label com.example.environment="production" --label com.example.storage="ssd"
Then, when you start a container on the cluster, you can set constraints using these default tags or custom labels. The Swarm scheduler looks for matching node on the cluster and starts the container there. This approach has several practical applications:
- Schedule based on specific host properties, for example,
storage=ssd
schedules containers on specific hardware. - Force containers to run in a given location, for example
region=us-east
. - Create logical cluster partitions by splitting a cluster into
sub-clusters with different properties, for example
environment=production
.
Example node constraints
To specify custom label for a node, pass a list of --label
options at docker
startup time. For instance, to start node-1
with the
storage=ssd
label:
$ docker daemon --label storage=ssd
$ swarm join --advertise=<IP_ADDRESS>:2375 token://XXXXXXXXXXXXXXXXXX
You might start a different node-2
with storage=disk
:
$ docker daemon --label storage=disk
$ swarm join --advertise=<IP_ADDRESS>:2375 token://XXXXXXXXXXXXXXXXXX
Once the nodes are joined to a cluster, the Swarm manager pulls their respective tags. Moving forward, the manager takes the tags into account when scheduling new containers.
Continuing the previous example, assuming your cluster with node-1
and
node-2
, you can run a MySQL server container on the cluster. When you run the
container, you can use a constraint
to ensure the database gets good I/O
performance. You do this by filtering for nodes with flash drives:
$ docker tcp://<manager_ip:manager_port> run -d -P -e constraint:storage==ssd --name db mysql
f8b693db9cd6
$ docker tcp://<manager_ip:manager_port> ps
CONTAINER ID IMAGE COMMAND CREATED STATUS PORTS NAMES
f8b693db9cd6 mysql:latest "mysqld" Less than a second ago running <IP_ADDRESS>:49178->3306/tcp node-1/db
In this example, the manager selected all nodes that met the storage=ssd
constraint and applied resource management on top of them. Only node-1
was
selected because it’s the only host running flash.
Suppose you want to run an Nginx frontend in a cluster. In this case, you wouldn’t want flash drives because the frontend mostly writes logs to disk.
$ docker tcp://<manager_ip:manager_port> run -d -P -e constraint:storage==disk --name frontend nginx
963841b138d8
$ docker tcp://<manager_ip:manager_port> ps
CONTAINER ID IMAGE COMMAND CREATED STATUS PORTS NAMES
963841b138d8 nginx:latest "nginx" Less than a second ago running <IP_ADDRESS>:49177->80/tcp node-2/frontend
f8b693db9cd6 mysql:latest "mysqld" Up About a minute running <IP_ADDRESS>:49178->3306/tcp node-1/db
The scheduler selected node-2
since it was started with the storage=disk
label.
Finally, build args can be used to apply node constraints to a docker build
.
This example shows how to avoid flash drives.
$ mkdir sinatra
$ cd sinatra
$ echo "FROM ubuntu:14.04" > Dockerfile
$ echo "RUN apt-get update && apt-get install -y ruby ruby-dev" >> Dockerfile
$ echo "RUN gem install sinatra" >> Dockerfile
$ docker build --build-arg=constraint:storage==disk -t ouruser/sinatra:v2 .
Sending build context to Docker daemon 2.048 kB
Step 1 : FROM ubuntu:14.04
---> a5a467fddcb8
Step 2 : RUN apt-get update && apt-get install -y ruby ruby-dev
---> Running in 26c9fbc55aeb
---> 30681ef95fff
Removing intermediate container 26c9fbc55aeb
Step 3 : RUN gem install sinatra
---> Running in 68671d4a17b0
---> cd70495a1514
Removing intermediate container 68671d4a17b0
Successfully built cd70495a1514
$ docker image ls
REPOSITORY TAG IMAGE ID CREATED SIZE
dockerswarm/swarm manager 8c2c56438951 2 days ago 795.7 MB
ouruser/sinatra v2 cd70495a1514 35 seconds ago 318.7 MB
ubuntu 14.04 a5a467fddcb8 11 days ago 187.9 MB
Use the health filter
The node health
filter prevents the scheduler from running containers
on unhealthy nodes. A node is considered unhealthy if the node is down or it
can’t communicate with the cluster store.
Use the containerslots filter
You may give your Docker nodes the containerslots label
$ docker daemon --label containerslots=3
Swarm runs up to 3 containers at this node, if all nodes are “full”, an error is thrown indicating no suitable node can be found. If the value cannot be cast to an integer number or is not present, there is no limit on container number.
Container filters
When creating a container, you can use three types of container filters:
Use an affinity filter
Use an affinity
filter to create “attractions” between containers. For
example, you can run a container and instruct Swarm to schedule it next to
another container based on these affinities:
- container name or ID
- an image on the host
- a custom label applied to the container
These affinities ensure that containers run on the same network node — without you having to know what each node is running.
Example name affinity
You can schedule a new container to run next to another based on a container
name or ID. For example, you can start a container called frontend
running
nginx
:
$ docker tcp://<manager_ip:manager_port> run -d -p 80:80 --name frontend nginx
87c4376856a8
$ docker tcp://<manager_ip:manager_port> ps
CONTAINER ID IMAGE COMMAND CREATED STATUS PORTS NAMES
87c4376856a8 nginx:latest "nginx" Less than a second ago running <IP_ADDRESS>:80->80/tcp node-1/frontend
Then, using -e affinity:container==frontend
value to schedule a second
container to locate and run next to the container named frontend
.
$ docker tcp://<manager_ip:manager_port> run -d --name logger -e affinity:container==frontend logger
87c4376856a8
$ docker tcp://<manager_ip:manager_port> ps
CONTAINER ID IMAGE COMMAND CREATED STATUS PORTS NAMES
87c4376856a8 nginx:latest "nginx" Less than a second ago running <IP_ADDRESS>:80->80/tcp node-1/frontend
963841b138d8 logger:latest "logger" Less than a second ago running node-1/logger
Because of name
affinity, the logger
container ends up on node-1
along
with the frontend
container. Instead of the frontend
name you could have
supplied its ID as follows:
$ docker tcp://<manager_ip:manager_port> run -d --name logger -e affinity:container==87c4376856a8
Example image affinity
You can schedule a container to run only on nodes where a specific image is
already pulled.   Instead of the image name, you could have specified the image ID.
$ docker image ls
REPOSITORY TAG IMAGE ID CREATED VIRTUAL SIZE
redis latest 06a1f75304ba 2 days ago 111.1 MB
$ docker tcp://<manager_ip:manager_port> run -d --name redis1 -e affinity:image==06a1f75304ba redis
Example label affinity
A label affinity allows you to filter based on a custom container label. For
example, you can run a nginx
container and apply the
com.example.type=frontend
custom label.
$ docker tcp://<manager_ip:manager_port> run -d -p 80:80 --label com.example.type=frontend nginx
87c4376856a8
$ docker tcp://<manager_ip:manager_port> ps --filter "label=com.example.type=frontend"
CONTAINER ID IMAGE COMMAND CREATED STATUS PORTS NAMES
87c4376856a8 nginx:latest "nginx" Less than a second ago running <IP_ADDRESS>:80->80/tcp node-1/trusting_yonath
Then, use -e affinity:com.example.type==frontend
to schedule a container next
to the container with the com.example.type==frontend
label.
$ docker tcp://<manager_ip:manager_port> run -d -e affinity:com.example.type==frontend logger
87c4376856a8
$ docker tcp://<manager_ip:manager_port> ps
CONTAINER ID IMAGE COMMAND CREATED STATUS PORTS NAMES
87c4376856a8 nginx:latest "nginx" Less than a second ago running <IP_ADDRESS>:80->80/tcp node-1/trusting_yonath
963841b138d8 logger:latest "logger" Less than a second ago running node-1/happy_hawking
The logger
container ends up on node-1
because its affinity with the
com.example.type==frontend
label.
Use a dependency filter
A container dependency filter co-schedules dependent containers on the same node. Currently, dependencies are declared as follows:
--volumes-from=dependency
(shared volumes)--link=dependency:alias
(links)--net=container:dependency
(shared network stacks)
Swarm attempts to co-locate the dependent container on the same node. If it cannot be done (because the dependent container doesn’t exist, or because the node doesn’t have enough resources), it prevents the container creation.
The combination of multiple dependencies are honored if possible. For
instance, if you specify --volumes-from=A --net=container:B
, the scheduler
attempts to co-locate the container on the same node as A
and B
. If those
containers are running on different nodes, Swarm does not schedule the container.
Use a port filter
When the port
filter is enabled, a container’s port configuration is used as a
unique constraint. Docker Swarm selects a node where a particular port is
available and unoccupied by another container or process. Required ports may be
specified by mapping a host port, or using the host networking and exposing a
port using the container configuration.
Example in bridge mode
By default, containers run on Docker’s bridge network. To use the port
filter
with the bridge network, you run a container as follows.
$ docker tcp://<manager_ip:manager_port> run -d -p 80:80 nginx
87c4376856a8
$ docker tcp://<manager_ip:manager_port> ps
CONTAINER ID IMAGE COMMAND PORTS NAMES
87c4376856a8 nginx:latest "nginx" <IP_ADDRESS>:80->80/tcp node-1/prickly_engelbart
Docker Swarm selects a node where port 80
is available and unoccupied by another
container or process, in this case node-1
. Attempting to run another container
that uses the host port 80
results in Swarm selecting a different node,
because port 80
is already occupied on node-1
:
$ docker tcp://<manager_ip:manager_port> run -d -p 80:80 nginx
963841b138d8
$ docker tcp://<manager_ip:manager_port> ps
CONTAINER ID IMAGE COMMAND PORTS NAMES
963841b138d8 nginx:latest "nginx" <IP_ADDRESS>:80->80/tcp node-2/dreamy_turing
87c4376856a8 nginx:latest "nginx" <IP_ADDRESS>:80->80/tcp node-1/prickly_engelbart
Again, repeating the same command results in the selection of node-3
,
since port 80
is neither available on node-1
nor node-2
:
$ docker tcp://<manager_ip:manager_port> run -d -p 80:80 nginx
963841b138d8
$ docker tcp://<manager_ip:manager_port> ps
CONTAINER ID IMAGE COMMAND PORTS NAMES
f8b693db9cd6 nginx:latest "nginx" <IP_ADDRESS>:80->80/tcp node-3/stoic_albattani
963841b138d8 nginx:latest "nginx" <IP_ADDRESS>:80->80/tcp node-2/dreamy_turing
87c4376856a8 nginx:latest "nginx" <IP_ADDRESS>:80->80/tcp node-1/prickly_engelbart
Finally, Docker Swarm refuses to run another container that requires port
80
, because it is not available on any node in the cluster:
$ docker tcp://<manager_ip:manager_port> run -d -p 80:80 nginx
2014/10/29 00:33:20 Error response from daemon: no resources available to schedule container
Each container occupies port 80
on its residing node when the container
is created and releases the port when the container is deleted. A container in exited
state still owns the port. If prickly_engelbart
on node-1
is stopped but not
deleted, trying to start another container on node-1
that requires port 80
would fail
because port 80
is associated with prickly_engelbart
. To increase running
instances of nginx, you can either restart prickly_engelbart
, or start another container
after deleting prickly_englbart
.
Node port filter with host networking
A container running with --net=host
differs from the default
bridge
mode as the host
mode does not perform any port binding. Instead,
host mode requires that you explicitly expose one or more port numbers. You
expose a port using EXPOSE
in the Dockerfile
or --expose
on the command
line. Swarm makes use of this information in conjunction with the host
mode to
choose an available node for a new container.
For example, the following commands start nginx
on 3-node cluster.
$ docker tcp://<manager_ip:manager_port> run -d --expose=80 --net=host nginx
640297cb29a7
$ docker tcp://<manager_ip:manager_port> run -d --expose=80 --net=host nginx
7ecf562b1b3f
$ docker tcp://<manager_ip:manager_port> run -d --expose=80 --net=host nginx
09a92f582bc2
Port binding information is not available through the docker ps
command because
all the nodes were started with the host
network.
$ docker tcp://<manager_ip:manager_port> ps
CONTAINER ID IMAGE COMMAND CREATED STATUS PORTS NAMES
640297cb29a7 nginx:1 "nginx -g 'daemon of Less than a second ago Up 30 seconds box3/furious_heisenberg
7ecf562b1b3f nginx:1 "nginx -g 'daemon of Less than a second ago Up 28 seconds box2/ecstatic_meitner
09a92f582bc2 nginx:1 "nginx -g 'daemon of 46 seconds ago Up 27 seconds box1/mad_goldstine
Swarm refuses the operation when trying to instantiate the 4th container.
$ docker tcp://<manager_ip:manager_port> run -d --expose=80 --net=host nginx
FATA[0000] Error response from daemon: unable to find a node with port 80/tcp available in the Host mode
However, port binding to the different value, for example 81
, is still allowed.
$ docker tcp://<manager_ip:manager_port> run -d -p 81:80 nginx:latest
832f42819adc
$ docker tcp://<manager_ip:manager_port> ps
CONTAINER ID IMAGE COMMAND CREATED STATUS PORTS NAMES
832f42819adc nginx:1 "nginx -g 'daemon of Less than a second ago Up Less than a second 443/tcp, <IP_ADDRESS>:81->80/tcp box3/thirsty_hawking
640297cb29a7 nginx:1 "nginx -g 'daemon of 8 seconds ago Up About a minute box3/furious_heisenberg
7ecf562b1b3f nginx:1 "nginx -g 'daemon of 13 seconds ago Up About a minute box2/ecstatic_meitner
09a92f582bc2 nginx:1 "nginx -g 'daemon of About a minute ago Up About a minute box1/mad_goldstine
How to write filter expressions
To apply a node constraint
or container affinity
filters you must set
environment variables on the container using filter expressions, for example:
$ docker tcp://<manager_ip:manager_port> run -d --name redis1 -e affinity:image==~redis redis
Each expression must be in the form:
<filter-type>:<key><operator><value>
The <filter-type>
is either the affinity
or the constraint
keyword. It
identifies the type filter you intend to use.
The <key>
is an alpha-numeric and must start with a letter or underscore. The
<key>
corresponds to one of the following:
- the
container
keyword - the
node
keyword - a default tag (node constraints)
- a custom metadata label (nodes or containers).
The <operator>
is either ==
or !=
. By default, expression operators are
hard enforced. If an expression is not met exactly , the manager does not
schedule the container. You can use a ~
(tilde) to create a “soft” expression.
The scheduler tries to match a soft expression. If the expression is not met,
the scheduler discards the filter and schedules the container according to the
scheduler’s strategy.
The <value>
is an alpha-numeric string, dots, hyphens, and underscores making
up one of the following:
- A globbing pattern, for example,
abc*
. - A regular expression in the form of
/regexp/
. See re2 syntax for the supported regex syntax.
The following examples illustrate some possible expressions:
constraint:node==node1
matches nodenode1
.constraint:node!=node1
matches all nodes, exceptnode1
.constraint:region!=us*
matches all nodes outside with aregion
tag prefixed withus
.constraint:node==/node[12]/
matches nodesnode1
andnode2
.constraint:node==/node\d/
matches all nodes withnode
+ 1 digit.constraint:node!=/node-[01]/
matches all nodes, exceptnode-0
andnode-1
.constraint:node!=/foo\[bar\]/
matches all nodes, exceptfoo[bar]
. You can see the use of escape characters here.constraint:node==/(?i)node1/
matches nodenode1
case-insensitive. SoNoDe1
orNODE1
also match.affinity:image==~redis
tries to match for nodes running container with aredis
image.constraint:region==~us*
searches for nodes in the cluster belonging to theus
region.affinity:container!=~redis*
schedules a newredis5
container to a node without a container that satisfiesredis*
.


KATIE FERREOL
Katie is an incoming sophomore from Manila, Philippines. She just recently declared her major in Interactive Media, also while doing a minor in Film & New Media and Economics. She plays the role of "Katie", Pam's lover, in the short film.
The view of the LGBTQ+ community in the Philippines has been strong since the beginning, but it is steadily growing to be more accepting. Because majority of the nation is predominantly Catholic, LGBTQ+ people in the Philippines have limited legal rights, such as no same-sex marriage. However, with the Philippines having a wide array of celebrities such as Vice Ganda––a gay talk show host and actor––making history in popular media, Filipinos are growing out of their conservative mindsets.
POP QUIZ! What is the flag of the Philippines?


Software as a Craft
*[WIP]
In the philosophy that is described here, it proposes that software development is a craft, much like wood working, pottery, beer, or – as this section later calls out – jewelry.
You Can’t Spell Craft without Art
I’m a bit of a stickler and sucker for words. I enjoy anagrams and things of that nature. If you take the letters a-r-t out of craft, you end up with cf, which doesn’t make any sense. Not to me, at least.
Craft means building something with both heart and art.
Nonetheless, having this notion of being a “craftsperson” got me to go online and found this nice discussion. The takeaway – as with anything that involves many human beings and their resulting points of view – is that there are several ways of looking at craft. For the purposes of this discussion, craft means building something with both heart and art.
Getting to know your art is very important in life. In my view, you should have several outlets, with software being one of them. I myself recently re-visited all of my art while discovering Hugo and organized it all in a site that you can view here. It has to be one of the most therapeutic activities I have ever done, and I certainly encourage anyone who has old art to do the same.
Several observations from this activity:
- It got me to identify my heroes and influences in life. This was satisfying and personally inspirational to me.
- It unveiled my history to me. This is key to me personally as it yielded a lot of inspiration (common theme here), but also reduced a lot of clutter in the background of my mind. This is why I suggest you do the same so that you can find yours.
- It organized my history. I took creative liberties and organized my art history into different boxes.
- It showed me my different types of art that interest me. I have these now captured and organized by poems, stories, and sketches, which, incidentally, Hugo organizes perfectly by default.
- It allowed me to discover explore another foreign yet elegant technology. While at first glance it would seem to contradict myself in using a different technology than .NET, that is not the case at all. In fact, I will be using Hugo as a great example of how we should be incorporating other inspiring features from other technologies into .NET.
I’m in This for the Craft
After spending over two decades in software development, I can say that I am more about establishing legacy now as opposed to making a quick buck, and you can thank a recent close call with death for cementing this feeling within me.
In the last week of May 2018, I was on my way back from my daily gym routine when I encountered a terrible accident that claimed a life which must have occurred no less than two minutes before I arrived on scene.
What was especially scary was that I had five minutes earlier to this event pushed myself on the treadmill to complete my sixty minutes rather than quit a few minutes early. If I had done so, I would have no doubt been placed further in the window of this incident.
This was actually the motivating factor in creating my art project and exploring it in full.
It got me to think about what I want to be known for if I had died unexpectedly. This is a notion that I have never been confronted with before, but I have had heard others face it in the past. To me, I realized that if I had died today, people would know me, if anything, by my code, but there is nothing particularly interesting there. Further, they wouldn’t even know if I had an appreciation for art, and expressed that in writings and sketches.
It then got me to think further of how I could use technology along with art, and that has led me to galvanizing this project – which is not meant to specifically serve as art per se, but will allow applications that deal with such to be made accordingly, which is what I am building towards now.
So I guess you could say, since that experience, I am more of a carpe diem person and I am here to establish some more meaning in the world – not just in what I produce, but how I treat others as well.
More Jeweler, Less One Person Band
When I lived in the Seattle area, I would walk by a jeweler on my way to the gym for my daily workout. I was always impressed with how intent he was in his activities, and it was easy to draw a comparison to how his intensity is a lot like a software developer when they are “in the zone.”
In my worldview, the jeweler is very much the “symbol” I envision when I describe software as being a craft: you have a student who is intently studying and working with their tools upon their gems and stones in pursuit of perfection, which are then, in turn, sold to provide elegance and further meaning into the world.
Conversely, taken from a typical business perspective, it always seems the goal here is to turn every developer into a one person band. Their proud, all-to-common mantra of “a jack of all trades, master of none,” seems to be a game of sorts to quote during job interviews and descriptions.
The problem here, of course, is that you soon have an entire team or even group of one person bands and getting them all to work together to produce a cogent, coherent product is exactly like what you would expect when you envision such a sight and subsequent sound.
(When You Know HTML5, and CSS and PHP and JavaScript and C# and Java and …)
You might note my “clown” example above actually doesn’t sound too bad, and you are not wrong. Pausing a bit further here, this is not placing judgement on which approach is better, but simply expressing an ideal personal style and to delineate the difference in the two approaches. I think we have plenty of one person bands in our world. My desire is to see more jewelers, and that is the type of culture that I will be aiming for in establishing this project.
Additionally, it is also worth noting that the “clown” can be seen as an appropriate symbol for the workplace environment, whereby symbolizing the need to entertain and connect with others in the context of producing adequate revenues to sustain growth for the company for which they work. As previously mentioned, this is not meant to say that this is “good” or “bad,” but simply meant as an observation in the type of style that is currently employed within our ecosystem.
Summary
In this article, I explored the craft of software and explored two different styles that facilitate this craft in the style of a jeweler and the one person band. I then made a suggestion to see more jewelers made within our ecosystem where the focus is made more on the craft itself rather than on the focus of revenue and business.
Next, I explore the business of art ».


Squid uses the pinger program
to
send ICMP pings to origin server sites. Squid uses these ICMP
measurements to estimate network proximity. Note that the
pinger program must be installed as
setuid root because it opens a raw ICMP socket. To
enable the ICMP measurement features, use the ./configure
—enable-icmp option. |
Syntax
|
pinger_program pathname
| |
Default
|
pinger_program $prefix/libexec/pinger
| |
Example
|
pinger_program /usr/local/squid-2.4/libexec/pinger
| |
Related
|
netdb_low, netdb_high,
netdb_ping_period
|
|


Grow.js
Grow.js helps you create and connect devices to a Grow-IoT instance.
Installation
npm install Grow.js
Usage
Grow.js is an extension of Thing.js which is an extension of the Node EventEmitter.
In addition, it also has some functionality for scheduling, registering and monitoring for alerts (temperature low, etc.), and easily and securely connecting to a Grow-IoT instance.
Connection options
The connect method takes a configuration object.
The host
property is where the device will connect to a Grow-IoT instance. By default the host
is set to localhost
and the port is set to Meteor's standard of 3000
. This works nicely for usb devices like Arduino.
For connecting over wifi, connect your device to wifi and set the host
to the IP address where the Grow-IoT instance is running. Pass the options to the connect()
method like so:
grow.connect({
"host": "YOUR_IP_HERE"
})
Connecting over SSL
You can connect securely to our Grow-IoT alpha instance on https://grow.commongarden.org, or see the Grow-IoT repo to easily start your own IoT network locally or hosted on Meteor Galaxy.
SSL is supported though will require a bit more setup. If you are hosting your instance off a computer with a dedicated IP address pass the following the connect()
method.
grow.connect({
"host": "YOUR_IP_HERE",
"port": 443,
"ssl": true
})
If you are hosting on a cloud instance such as Meteor Galaxy, you might need specify the servername. The example below shows you how to connect securely to the instance at grow.commongarden.org:
grow.connect({
"host": "grow.commongarden.org",
"tlsOpts": {
"tls": {
"servername": "galaxy.meteor.com"
}
},
"port": 443,
"ssl": true
});
Connect to Grow-IoT Instance
In Grow-IoT, create a new device and take note of the device uuid
and token
.
In the examples
folder checkout test-device.js
. If you want to get started straight away with hardware, skip to the working with hardware section.
Replace the uuid
and token
properties of the config object with the credentials you generate.
// Import the latest build of the Grow.js library
var Thing = require('Grow.js');
// Create a new grow instance. Connects by default to localhost:3000
var testDevice = new Thing({
// PUT YOUR UUID AND TOKEN HERE:
uuid: 'PASTE_UUID_HERE',
token: 'PASTE_TOKEN_HERE',
// Specifies the component associated with the thing
component: 'TestDevice',
// Properties can be updated by the API
properties: {
state: 'off',
},
turn_on: function () {
testDevice.set('state', 'on');
},
turn_off: function () {
testDevice.set('state', 'off');
},
});
// Connects to localhost:3000 by default.
testDevice.connect();
Run it with:
node examples/test-device.js
Working with hardware.
Grow.js works very well with the Johnny-Five robotics library, which has plugins for a large number of devices.
Note, with boards like the Tessel 2, Johnny-five is not required, but we're including it to make it easier to get started and support a wide variety of devices, sensors, and actuators.
Wire up photo-resitor and led to arduino
Wire up your photo resistor and LED light like so:
To use Johnny-Five, you need to make sure that your arduino is flashed with Standard Firmata. Instructions for doing so can be found here. Once that's done you're ready for the next step!
Take a look at the smart-light
example in the examples/arduino/
folder.
Create a new thing in the Grow-IoT ui and copy and paste the UUID and Token into the example below.
// Require the Grow.js build and johnny-five library.
var Thing = require('Grow.js');
var five = require('johnny-five');
// See http://johnny-five.io/ to connect devices besides arduino.
var board = new five.Board();
var emit_and_analyze;
// When board emits a 'ready' event run this start function.
board.on('ready', function start() {
// Define variables
var LED = new five.Pin(13),
lightSensor = new five.Sensor('A0');
// Create a new thing.
var light = new Thing({
uuid: 'PASTE_UUID_HERE',
token: 'PASTE_TOKEN_HERE',
component: 'smart-light',
properties: {
state: 'off',
threshold: 300,
interval: 1000,
lightconditions: null
},
start: function () {
var interval = this.get('interval');
emit_and_analyze = setInterval(function () {
light.call('light_data');
light.call('check_light_data');
}, interval);
// Todo: implement clear interval function so we can adjust
// the rate at which data is logged.
},
stop: function () {
clearInterval(emit_and_analyze);
},
turn_on: function () {
LED.high();
light.set('state', 'on');
console.log('light on');
},
turn_off: function () {
LED.low();
light.set('state', 'off');
console.log('light off')
},
light_data: function () {
console.log(lightSensor.value);
light.emit({
type: 'light',
value: lightSensor.value
});
},
check_light_data: function () {
var threshold = light.get('threshold');
if ((lightSensor.value < threshold) && (light.get('lightconditions') != 'dark')) {
light.set('lightconditions', 'dark');
} else if ((lightSensor.value >= threshold) && (light.get('lightconditions') != 'light')) {
light.set('lightconditions', 'light');
}
}
});
light.connect();
});
Run smart-light.js
with:
node examples/arduino/smart-light/smart-light.js
Note: on certain opperating systems you may need to prefix that command with sudo
to allow the script access to USB.
Developing
Code is written in ES6, and compiled using rollup.
npm run build
builds the library.
npm run test
builds the library, and runs tests in the test folder.
The documentation is written in jsdoc, built using Mr-Doc, and on the gh-pages branch of this repo.
License
Grow.js is released under the 2-Clause BSD License, sometimes referred to as the "Simplified BSD License" or the "FreeBSD License".


Cartoons
Porky Pig
Thats All Folks
The Flinstones
Yabba Dabba Do!
The Flinstones
The Flinstones Run
Music
Ghostbusters
The Oompa Loompa Song
Yakety Sax
Simpsons
Homer Simpson
Doh!
Homer Simpson
Could you Repeat That?
Homer Simpson
Mmm... Donuts
Barney
Burp
Mr. Burns
Release the Hounds
Dr. Nick
Hi Everybody!
Groundskeeper Willie
Bonjour...
Sound effects
Boing
Clown Honk
Evil Laugh
Foghorn
Gasps
Rimshot (Dah dum tish)
Ticking
Sad Trombone
Slide Whistle
Tarzan Yell


PFB2PFA(1) PFB2PFA(1) NAME pfb2pfa - convert a type1 pfb file (binary MSDOS) into a pfa (ASCII) SYNOPSIS pfb2pfa [-v] pfbfile [pfafile] DESCRIPTION Program converts a binary MSDOS representation for a type1 PostScript font into a readable ASCII version. The MSDOS newline (\r) is converted into the UNIX newline (\n). The output is written in a file whose name is the name that is provided on the command line or the basename of the input file plus extension ".pfa". With the -v option you get some information about what the program is doing. AUTHOR Piet Tutelaers<EMAIL_ADDRESS>TeX PFB2PFA(1)


PC Setup¶
Virtual Machine Configuration (Recommended)¶
The VM method is the most convenient method of utilizing the training materials:
- Download virtual box
- Download ROS Kinetic VM
- Import image into virtual box
- Start virtual machine
- Log into virtual machine, user:
osboxes
, pass:osboxes.org
(no spaces or hyphens)
Limitations of Virtual Box¶
The Virtual Box is limited both in hardware capability(due to VM limitations) and package installs (to save space). Kinect-based demos aren’t possible due to USB limitations.
Common VM Issues¶
On most new systems, Virtual Box and VMs work out of the box. The following is a list of issues others have encountered and solutions:
- Virtualization must be enabled - Older systems do not have virtualization enabled (by default). Virtualization must be enabled in the BIOS. See http://www.sysprobs.com/disable-enable-virtualization-technology-bios for more information.


System Architect Picture "Measured Qualifier"
Parent Diagram:
Phenomenon Qualifier
(OMT Object Model)


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--- imgsrc: "will_deutsch_sukkot_jewish_art.jpeg" buylink: "http://store.notesfromthetribe.com/product/8-5-x11-sukkot-print" postDate: "01.19.11" layout: post ---
If life gives you lemons, first make sure they’re not etrogs.
This can be confusing as an etrog with it’s bumpy rind looks like a lemon that has been sitting in the bathtub for too long. But if what you have is indeed an etrog, grab the nearest lulav and shake the two in all four directions.
Otherwise make lemonade.


Notebooks
Story: Cutting with stone knives
Cutting with stone knives
Title
Cutting with stone knives
Collection
Summary
Making knives out of different types of stone, which are used for cutting.
Comments
1) This story is found in Book VIII-27
Contributors
|han≠kass'o (Klein Jantje) (VIII)
Date
April/May 1879
Categories
Keywords
implements (cutting with stone knives) , implements (for cutting meat) , knife (made of stone) , knife (stones used in making) , knife (used to cut meat) , knife (and methods of cutting meat) , meat (cutting with a stone knife) , meat (methods of cutting) , stones (names of) , stones (methods of cutting meat with) , stones (and quartz) , stones (that are soft) , stones (different types of) , stones (and cutting) , cutting (meat) , cutting (use of stones for) , cutting (use of quartz for) , cutting (methods of) , cutting (with a stone knife) , names (of stones used to make stone knives)
Story Pages
8433v & 8434


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{% extends "base.html" %} {% block title %}EMQ - Home{% endblock %} {% block page_content %}
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Fill in the information below.


OpenWindowedScreen()
语法
Result = OpenWindowedScreen(WindowID, x, y, Width, Height [, AutoStretch, RightOffset, BottomOffset [, FlipMode]])概要
Open a new screen area according to given parameters on the given Window, which must be opened before using OpenWindow(). InitSprite() has to be called successfully before using this command. The "windowed screen" is able to use the hardware acceleration the same way than full-size OpenScreen() function. As a window is opened, the window events have to be processed with WindowEvent() to have the correct behaviour. All the events needs to be processed before flipping the buffers (see the examples below).
参数
WindowID The window to use to create the screen. WindowID() can be used to get a valid window identifier. x, y The screen position in the specified window, in pixels. Width, Height The screen resolution, in pixels. AutoStretch (optional) If set to #True, then the screen area will automatically resize (and its contents will be zoomed to new screen size) when the window size changes. RightOffset, BottomOffset (optional) Define the margin on the right and bottom of the window, in pixels (for statusbar for example). FlipMode (optional) Sets the screen synchronization methods used when flipping buffers (also known as 'Vertical blank synchronization'). It can have one of the following values: #PB_Screen_NoSynchronization : disable synchronization #PB_Screen_WaitSynchronization : enable synchronization (default value) #PB_Screen_SmartSynchronization: enable synchronization, with a CPU saver routine when the program doesn't consume all the CPU time (full screen mode only)Waiting for the screen synchronization allows the flip to be perfect (no 'tearing' or other visible artifacts) because the flip is performed when the screen has been fully drawn (and when the screen spot is outside of visible screen area). This also link the flip frequence to the actual screen refresh, ie: for 60Hz screen it could have at most 60 flip per seconds, etc.
The opened screen is created with 2 video buffers to allow you to do double buffering, especially useful for games. The buffers can be manipulated with the FlipBuffers() function.
返回值
Nonzero if the screen has been successfully opened, zero otherwise.
备注
Only one windowed screen can be opened at one time. The screen dimension can't be greater than the window size or artefacts can occurs.
Example: Fixed screen size with gadgets
If InitSprite() = 0 MessageRequester("Error", "Can't open screen & sprite environment!", 0) End EndIf If OpenWindow(0, 0, 0, 220, 160, "A screen in a window...", #PB_Window_SystemMenu | #PB_Window_ScreenCentered) ButtonGadget(0, 170, 135, 45, 20, "Quit") If OpenWindowedScreen(WindowID(0), 0, 0, 160, 160) CreateSprite(0, 20, 20) If StartDrawing(SpriteOutput(0)) Box(0, 0, 20, 20, RGB(255, 0, 155)) Box(5, 5, 10, 10, RGB(155, 0, 255)) StopDrawing() EndIf Else MessageRequester("Error", "Can't open windowed screen!", 0) End EndIf EndIf direction = 2 Repeat ; It's very important to process all the events remaining in the queue at each frame ; Repeat Event = WindowEvent() Select Event Case #PB_Event_Gadget If EventGadget() = 0 End EndIf Case #PB_Event_CloseWindow End EndSelect Until Event = 0 FlipBuffers() ClearScreen(RGB(0, 0, 0)) DisplaySprite(0, x, x) x + direction If x > 140 : direction = -2 : EndIf If x < 0 : direction = 2 : EndIf Delay(1) ForEver
Example: Screen with enabled auto-stretch and bottom-offset feature
If InitSprite() = 0 MessageRequester("Error", "Can't open screen & sprite environment!", 0) End EndIf If OpenWindow(0, 0, 0, 320, 200, "A screen in a window...", #PB_Window_SystemMenu | #PB_Window_SizeGadget | #PB_Window_ScreenCentered) CreateStatusBar(0, WindowID(0)) AddStatusBarField(320) StatusBarText(0, 0, "Automatically zoomed screen area when changing window size...") If OpenWindowedScreen(WindowID(0), 0, 0, 320, 200, #True, 0, 20) CreateSprite(0, 50, 50) ; Create an empty sprite, will be whole black Repeat ; It's very important to process all the events remaining in the queue at each frame ; Repeat Event = WaitWindowEvent(10) If Event = #PB_Event_CloseWindow End EndIf Until Event = 0 FlipBuffers() ClearScreen(RGB(0, 0, 200)) ; A blue background DisplaySprite(0, 10, 10) ; Display our black box at the left-top corner DisplaySprite(0, 260, 10) ; Display our black box at the right-top corner ForEver Else MessageRequester("Error", "Can't open windowed screen!", 0) EndIf EndIf
For a more detailed example look at
示例
WindowedScreen.pb
参阅
OpenScreen()
已支持操作系统
所有


|
Connected Home over IP
672cf7684
|
Basis of internet transport endpoint classes. More...
#include <inet/EndPointBasis.h>
Public Types | |
| enum | { kBasisState_Closed = 0 } |
| Common state codes. More... | |
Public Member Functions | |
| bool | IsSocketsEndPoint () const |
| Test whether endpoint is a POSIX socket. More... | |
| bool | IsLWIPEndPoint (void) const |
| Test whether endpoint is a LwIP protocol control buffer. More... | |
| bool | IsOpenEndPoint () const |
| Test whether endpoint has a valid descriptor. More... | |
| Public Member Functions inherited from chip::Inet::InetLayerBasis | |
| InetLayer & | Layer () const |
| Returns a reference to the Inet layer object that owns this basis object. More... | |
| bool | IsCreatedByInetLayer (const InetLayer &aInetLayer) const |
Returns true if the basis object was obtained by the specified INET layer instance. More... | |
| Public Member Functions inherited from chip::System::Object | |
| bool | IsRetained (const Layer &aLayer) const |
Test whether this object is retained by aLayer . More... | |
| void | Retain () |
| Increments the reference count for the CHIP System Layer object. More... | |
| void | Release () |
| Decrements the reference count for the CHIP System Layer object. More... | |
| Layer & | SystemLayer () const |
| Returns a reference to the CHIP System Layer object provided when the object was initially retained from its corresponding object pool instance. More... | |
Protected Types | |
| enum | { kLwIPEndPointType_Unknown = 0, kLwIPEndPointType_Raw = 1, kLwIPEndPointType_UDP = 2, kLwIPEndPointType_UCP = 3, kLwIPEndPointType_TCP = 4 } |
| Protected Types inherited from chip::System::Object | |
| enum | ReleaseDeferralErrorTactic { kReleaseDeferralErrorTactic_Ignore, kReleaseDeferralErrorTactic_Release, kReleaseDeferralErrorTactic_Die } |
| < What to do when DeferredRelease fails to post a kEvent_ReleaseObj. More... | |
Protected Member Functions | |
| void | DeferredFree (chip::System::Object::ReleaseDeferralErrorTactic aTactic) |
| void | InitEndPointBasis (InetLayer &aInetLayer, void *aAppState=nullptr) |
| Protected Member Functions inherited from chip::Inet::InetLayerBasis | |
| void | InitInetLayerBasis (InetLayer &aInetLayer, void *aAppState=nullptr) |
| Protected Member Functions inherited from chip::System::Object | |
| void | DeferredRelease (ReleaseDeferralErrorTactic aTactic) |
Protected Attributes | |
| int | mSocket |
| Encapsulated socket descriptor. More... | |
| IPAddressType | mAddrType |
| Protocol family, i.e. More... | |
| SocketEvents | mPendingIO |
| Socket event masks. More... | |
| union { | |
| const void * mVoid | |
| An untyped protocol control buffer reference. More... | |
| }; | |
| Encapsulated LwIP protocol control block. More... | |
| uint8_t | mLwIPEndPointType |
Additional Inherited Members | |
| Public Attributes inherited from chip::System::Object | |
| void * | AppState |
| Generic pointer to app-specific data associated with the object. More... | |
Basis of internet transport endpoint classes.
| anonymous enum |
|
protected |
|
inlineprotected |
|
protected |
|
inline |
Test whether endpoint is a LwIP protocol control buffer.
|
inline |
Test whether endpoint has a valid descriptor.
|
inline |
Test whether endpoint is a POSIX socket.
| union { ... } |
Encapsulated LwIP protocol control block.
|
protected |
Protocol family, i.e.
IPv4 or IPv6.
|
protected |
|
protected |
Socket event masks.
|
protected |
Encapsulated socket descriptor.
| const void* chip::Inet::EndPointBasis::mVoid |
An untyped protocol control buffer reference.


WITNESS LIST Urban Affairs Committee March 25, 1998-10:00A City Problems On: Lively, Lance (TML) Housing For: Allen, Monique (Maple Ave.Econ.Dev.Corp) Bucek, Michael A. (City of Denton) Chapman, Steven M. (Energy Wise Technologie) Nix, Glenda (Self) Wilkens, Will (Energy Wise Technologie) On: Clark, Jeffrey D. (TDHCA) Garvin, John (TDHCA) Pelley, Frances (Council of Government) Phillips, Pete (City of Bonham) Ross, Barbara (City of Denton) Stiner, Daisy (TDHCA) Womack, Joan (Wesley Village Sen.Hous) Wright, Frank (Self) Rural Water Systems Against: Donohue, James H. (City of Gunter) Training of Elected Officials For: Adamson, Christine (Sherman Hgh.Sch.Student) Transportation Code For: Broyles, Stephen D. (City of Muenster) Validation Bill For: Atkins, Thomas C. (City of Denison) Bledsoe, Ray (City of Howe) Broyles, Stephen D. (City of Muenster) Bucek, Michael A. (City of Denton) On: Starr, Julie E. (City of Sherman) Y2K Problems For: Akins, Thomas C. (City of Denison) On: Porterfield, Shannon (Dept.Information Resour) Ramsey, John (Self)


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A DJ said he had a focus on songs from Southeast Asia and Japan
Yesterday, I caught a set by the DJ Itch , at Kult Kafé , Singapore. I heard songs with lyrics that sounded like they were in the language Mandarin Chinese, those with Japanese-like lyrics, and (at least) one that Itch said was from Indonesia, when I asked him where that song was from.
Maybe he - and the other DJs who spun - was playing vinyls yesterday.


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The assumption of homoskedasticity is examined using the Breusch-Pagan test (Gujarati, 2012, pp. 86-87). Since the Ho:homoskedastic residuals, p-value < 0.05 would show that there is a heterokedasticity problem in the model.
regression.diagnostics( mod, crit.bp = 0.05, crit.ncv = 0.05, crit.vif = 5, crit.shapiro = 0.01, crit.reset = 0.05, crit.linktest = 0.05, crit.cook = 1, crit.outlier = 0.05, crit.dwt = 0.05 )
| model | lm-model object |
|---|
tibble
The assumption of no severe multicollinearity is examined using VIF (Variance Inflation Factor)-values. A VIF value above 5.0 is used as a sign of severe multicollinearity in the model (Studenmund, 2006, p.271).
The assumption of normally-distributed residuals is examined using Shapiro-Wilk W test. Since the Ho:residuals are normmally distributed, p-value < 0.01 would indicate that residuals are not normally distributed. The reason why I propose 0.01 as a cutoff is that in almost every case, we reject the Ho at 0.05. Further, Shapiro-Wilk W test is, like any other, sensitive to large sample sizes. I still suggest that one additionnaly examines the residual plots.
The assumption of correctly specified model is examined using the linktest (Stata Manual, pp. 1041-1044). A statistically significant _hatsq (p < 0.05) would show a specification problem.
The assumption of appropriate functional form is examined using Ramsey's regression specification error test (RESET) (Wooldridge, pp. 303-305). Since the Ho: appropriate functional form, p-value < 0.05 would indicate a functional form problem.
Influence is based on both leverage and the extent to which the observation is an outlier. Cook's distance (D) is used to locate any influential observations. An observation with D > 1 would often be considered an influential case and should thus be removed from the analysis (Pardoe, 2006, p. 171).
#> Tests of linear model assumptions #> --------------------------------- #> #> 7/11 (63.6 %) checks failed #> #> #> Identified problems: #> heteroskedasticity #> multicollinearity #> model specification #> functional form #> Summary: #> # A tibble: 11 x 8 #> assumption variable test statistic p.value crit problem decision #> <chr> <chr> <chr> <dbl> <dbl> <dbl> <chr> <chr> #> 1 heteroskeda… global studentiz… 13.0 0.00460 0.05 Problem - #> 2 heteroskeda… global Non-const… 10.2 0.00138 0.05 Problem - #> 3 multicollin… Sepal.Width Variance … 6.46 NA 5 Problem - #> 4 multicollin… Petal.Leng… Variance … 81.8 NA 5 Problem - #> 5 multicollin… Sepal.Widt… Variance … 69.2 NA 5 Problem - #> 6 normality global Shapiro-W… 0.992 0.565 0.01 No Pro… + #> 7 model speci… global Stata Lin… 0.119 0.0114 0.05 Problem - #> 8 functional … global RESET test 5.85 0.00360 0.05 Problem - #> 9 outliers global Cook's di… 0.142 NA 1 No Pro… + #> 10 outliers global Bonferron… 3.13 0.314 0.05 No Pro… + #> 11 autocorrela… global Durbin-Wa… -0.0346 0.872 0.05 No Pro… + #> #> Outliers: #> ----------- #> Cook's distance (criterion=1.00): No outliers #> Outlier test (criterion=0.05): No outliers #>cars1 <- cars[1:30, ] # original data cars_outliers <- data.frame(speed=c(19,19), dist=c(190, 1806)) # introduce outliers. cars2 <- rbind(cars1, cars_outliers) # data with outliers. mod=lm(speed ~ dist, data=cars2) regression.diagnostics(mod)#> Tests of linear model assumptions #> --------------------------------- #> #> 5/9 (55.6 %) checks failed #> #> #> Identified problems: #> model specification #> functional form #> outliers #> autocorrelation #> Summary: #> # A tibble: 9 x 8 #> assumption variable test statistic p.value crit problem decision #> <chr> <chr> <chr> <dbl> <dbl> <dbl> <chr> <chr> #> 1 heteroskeda… global studentized B… 0.371 5.42e-1 0.05 No Pro… + #> 2 heteroskeda… global Non-constant … 0.364 5.46e-1 0.05 No Pro… + #> 3 multicollin… NA Variance Infl… NA NA NA No Pro… + #> 4 normality global Shapiro-Wilk … 0.964 3.56e-1 0.01 No Pro… + #> 5 model speci… global Stata Link-te… -1.85 6.19e-4 0.05 Problem - #> 6 functional … global RESET test 14.5 4.77e-5 0.05 Problem - #> 7 outliers global Cook's distan… 454. NA 1 Problem - #> 8 outliers global Bonferroni Ou… 3.68 2.99e-2 0.05 Problem - #> 9 autocorrela… global Durbin-Watson… 0.814 0. 0.05 Problem - #> #> Outliers: #> ----------- #> Cook's distance (criterion=1.00): #> index cooksd #> 32 454.4288 #> Outlier test (criterion=0.05): #> rstudent unadjusted p-value Bonferroni p #> 32 -3.684385 0.00093564 0.02994


Before Change
weights : array-like, shape=[n_samples, 1], optional
n_points = 1
if point_type == "vector" and gs.ndim(points) == 2:
n_points = gs.shape(points)[0]
if point_type == "matrix" and gs.ndim(points) == 3:
n_points = gs.shape(points)[0]
if weights is None:
weights = gs.ones((n_points,))
sum_weights = gs.sum(weights)
After Change
weights : array-like, shape=[n_samples, 1], optional
n_points = geomstats.vectorization.get_n_points(
points, point_type)
if weights is None:
weights = gs.ones((n_points,))


--- layout: post status: publish published: true title: Cost of Technical Debt author: display_name: neil login: neil email<EMAIL_ADDRESS>url: '' author_login: neil author_email<EMAIL_ADDRESS>wordpress_id: 43 wordpress_url: https://www.millardtechnicalservices.co.uk/?p=43 date: '2016-01-05 16:54:43 +0000' date_gmt: '2016-01-05 16:54:43 +0000' categories: - Development tags: [] comments: [] --- Technical Debt in one picture {% include image.html img="/public/img/tech_debt.jpeg" url="https://twitter.com/ProJavaScript/status/606262588725456897/photo/1" title="twitter.com/ProJavaScript" %}
Technical debt is created when the 'proper way' to do things is not followed, or to put it another way, get it working and we'll fix it up later.
{% include youtube.html ref="X5Ni7PVeODI" %}Does that 'later' ever come along. I know in the race to deliver value, these small items can be overlooked, especially if the question is 'fix debt' or 'ship new feature'.
Unfortunately these small debts can add up until the status quo is tipped in the balance of technical debt dragging your team down.
This can look like
The first step in managing this technical debt, is to make it visible. Add it to the issues list and backlog, and help the product owner understand what a pain it creating during the development process.
Once it is visible, it can then be prioritised or perhaps the decision can be made to live with it. At least it is a conscious choice.
This series on the topic by the sharp folks over at 18F draws a nice, clear picture of what it is and why you need to do something about it.


Project P009¶
Project Goals¶
You are looking at time series for measurements made at weather stations, and a number of quantified large scale climatic factors that potentially affect local climate at each weather station. You want to investigate the predictive capabilities of those factors (predictors) and construct random forest regression models for your weather stations. Specifically, you will investigate local temperature as a predictand, and use the multivariate ENSO index (MEI), antarctic oscillation index (AAOI) and regional means for temperature and wind speeds as predictors. (You will have to extract the regional means of the last two.)
Project Data¶
You are provided with weather station data, and a number of potentially impactful climatic factors.
Project Methods¶
Split your stations records up into training and validation period (e.g. pre- and post 2000). Use one part of your records to train random forest regression models for your weather stations with the data you have been provided with. Calculate the coefficients of determination to get a sense of model performance.
Optional: Vary any of your training parameters (e.g. tree depth) and think about the reasons behind differences in results.