Dengklek works as a chain maker. He currently owns N chains. Each chain is a circular chain that consists of K links. There is a letter engraved on each link of each chain.
You are given the String[]chains with N elements, each containing exactly K characters. Each element of chains contains the characters written on one of the chains, in order.
Ganesh is Dengklek's best friend. Tomorrow is his birthday. Dengklek wants to give Ganesh a straight (non-circular) chain as a present. He will do so by cutting and then combining some pieces of the chains he currently owns.
More precisely, you are given a int[]lengths that contains M elements. Dengklek will construct the new chain as follows:
At the beginning, the chain for Ganesh is empty.
For each i from 0 to M-1:
Dengklek will pick one of his circular chains that has not been picked before.
Dengklek will cut a contiguous sequence of lengths[i] links from the chain. He will keep the sequence and discard the remaining links. (In particular, if lengths[i] = K, Dengklek just splits the chosen chain at some point of his choice to turn it from a circular to a straight sequence. No links are lost while doing so.)
Dengklek will attach the sequence he just produced to the end of the chain for Ganesh.
Note that Dengklek's current chains are circular, so the last link of each chain is adjacent to the first link of that chain. Dengklek may choose a sequence that contains this part of the chain.
Note that Dengklek's chains are not symmetric. This means that Dengklek is not allowed to reverse the order of the links in any of the sequences he chooses.
Return the lexicographically largest possible string that can appear on the chain Dengklek gives to Ganesh.
Given two distinct strings of the same length, the lexicographically larger one is the one that has a larger character on the first position on which they differ.
Constraints
N and K will each be between 1 and 50, inclusive.
chains will contain exactly N elements.
Each element of chains will contain exactly K characters.
Each character of chains will be a lowercase English letter ('a' to 'z').
M will be between 1 and N, inclusive.
lengths will contain exactly M elements, inclusive.
Each element of lengths will be between 1 and K, inclusive.
Test cases
input
chains
{"topc", "oder", "open", "twob"}
lengths
{ 2, 1, 3 }
output
Returns
"wotrod"
note
The optimal solution is as follows:
Dengklek picks "twob" and cuts "wo" from it.
Dengklek picks "topc" and cuts "t" from it.
Dengklek picks "oder" and cuts "rod" from it. This is possible because the chain is circular, so 'r' and 'o' are adjacent.
The resulting chain is "wo" + "t" + "rod" = "wotrod".
input
chains
{"ssh", "she", "see", "sea"}
lengths
{ 2, 3, 2, 3 }
output
Returns
"ssshesesee"
note
The optimal solution is as follows:
Dengklek picks "ssh" and cuts "ss" from it.
Dengklek picks "she" and cuts "she" from it.
Dengklek picks "sea" and cuts "se" from it.
Dengklek picks "see" and cuts "see" from it.
The resulting chain is "ss" + "she" + "se" + "see" = "ssshesesee".
input
chains
{"wri", "ter", "who", "are", "you"}
lengths
{ 3 }
output
Returns
"you"
input
chains
{"harus", "imfyo"}
lengths
{ 5, 5 }
output
Returns
"yoimfushar"
This problem statement is the exclusive and proprietary property of TopCoder, Inc. Any unauthorized use or reproduction of this information without the prior written consent of TopCoder, Inc. is strictly prohibited. (c)2003, TopCoder, Inc. All rights reserved.
The resulting chain is "wo" + "t" + "rod" = "wotrod".


Dolphins are at the top of the food chain which means that they help evenly stabilize the marine environment. With an endangered population of a few thousand, these species of dolphins keep on declining and the need for your help keeps on inclining. Just to name a few - Maui's dolphins, Baji dolphins, and vaquita dolphins, which all combined are roughly 600 brilliant yet helpless mammals.
Solutions that may help combat this phenomonon is to...


Hello, I'm Brittany Forks. I'm a designer, illustrator, and crafter. I'm in love with the internet. I'm also a published author.
In 2009, I wrote a book with Random House called Kilobyte Couture. It's a how-to book on making fancy jewelry out of computer components. You can check it out on Amazon.
Lately, I've been illustrating more. Improving your craft should be a lifelong goal. At least, that's what I believe. Check out how my skills are progressing on my portfolio or Dribbble.
When I'm not designing — I'm exploring San Francisco, polishing my nails at #nailconf, having opinions on twitter, or posting pics on instagram.


THERE was once upon a time a good man who had two children: a girl by a first wife, and a boy by the second. The girl was as white as milk, and her lips were like cherries. Her hair was like golden silk, and it hung to the ground. Her brother loved her dearly, but her wicked stepmother hated her. 'Child,' said the stepmother one day, 'go to the grocer's shop and buy me a pound of candles.' She gave her the money; and the little girl went, bought the candles, and started on her return. There was a stile to cross. She put down the candles whilst she got over the stile.
She went back to the grocer's, and she got a second bunch. She came to the stile, set down the candles, and proceeded to climb over. Up came the dog and ran off with the candles.
She went again to the grocer's, and she got a third bunch; and just the same happened. Then she came to her stepmother crying, for she had spent all the money and had lost three bunches of candles.
The stepmother was angry, but she pretended not to mind the loss.  So the little one laid her head in the woman's lap, who proceeded to comb the yellow silken hair. And when she combed the hair fell over her knees, and rolled right down to the ground.
Then the stepmother hated her more for the beauty of her hair; so she said to her, 'I cannot part your hair on my knee, fetch a billet of wood.' So she fetched it. Then said the
stepmother, 'I cannot part your hair with a comb, fetch me an axe.' So she fetched it.
'Now,' said the wicked woman, 'lay your head down on the billet whilst I part your hair.'
 So the mother wiped the axe and laughed.
Then she took the heart and liver of the little girl, and she stewed them and brought into the house for supper.  He said they tasted very strangely. She gave some to the little boy, but he would not eat. She tried to force him, but he refused, and ran out into the garden, and took up his little sister, and put her in a box, and buried the box under a rose-tree; and every day he went to the tree and wept, till his tears ran down on the box.
One day the rose-tree flowered. It was spring and there among the flowers was a white bird; and it sang, and sang, and sang like an angel out of heaven. Away it flew, and it went to a cobbler's shop, and perched itself on a tree hard by; and thus it sang:
'My wicked mother slew me,
My dear father ate me,
My little brother whom I love
Sits below, and I sing above
Stick, stock, stone dead.'
'Sing again that beautiful song,' said the shoemaker.  The cobbler gave the shoes, and the bird sang the song; then flew to a tree in front of the watchmaker's, and sang:
'My wicked mother slew me
My dear father ate me,
My little brother whom I love
Sits below, and I sing above
Stick, stock, stone dead.'
'Oh, the beautiful song! sing it again, sweet bird,' said the watchmaker. 'If you will give me first that gold watch and chain in your hand.' The jeweller gave the watch and chain. The bird took it in one foot, the shoes in the other, and, after having repeated the song, flew away to where three millers were picking a millstone. The bird perched on a tree and sang:
'My wicked mother slew me,
My dear father ate me,
My little brother whom I love
Sits below, and I sing above
Stick!'
Then one of the men put down his tool and looked up from his work,
'Stock!'
Then the second miller's man laid aside his tool and looked up,
'Stone!'
Then the third miller's man laid down his tool and looked up,
'Dead!'
Then all three cried out with one voice: 'Oh, what a beautiful song! Sing it, sweet bird, again.' 'If you will put the millstone round my neck,' said the bird. The men did what the bird wanted and away to the tree it flew with the millstone round its neck, the red shoes in one foot, and the gold watch and chain in the other. It sang the song and then flew home. It rattled the millstone against the eaves of the house, and the stepmother said: 'It thunders.' Then the little boy ran out to see the thunder, and down dropped the red shoes at his feet. It rattled the millstone against the eaves of the house once more, and the stepmother said again: 'It thunders.' Then the father ran out and down fell the chain about his neck.
In ran father and son, laughing and saying, 'See, what fine things the thunder has brought us!' Then the bird rattled the millstone against the eaves of the house a third time; and the stepmother said: 'It thunders again; perhaps the thunder has brought something for me', and she ran out; but the moment she stepped outside the door, down fell the millstone on her head; and so she died.


We finished the previous chapter with a fully functional application that we are ready to deploy. This chapter explains how to use Ansible to deploy the sample application we just created into Amazon EC2. The steps describe both how to deploy the application and how to configure the AWS components required to run the application, like RDS or DynamoDB, via AWS CloudFormation.
If we recover the sketched project plan we defined at the beginning of the last chapter, we had some steps to follow:
Setup a development environment, including Amazon AWS services you may use
Develop the code
Setup a staging area (development) in Amazon AWS
Setup a test environment in Amazon AWS
Setup a production environment in Amazon AWS
Launch the application
Scale it as the demand grows
Profit!
This chapter covers steps 3, 6 and 7. As we mentioned before, steps 3, 4 and 5 follow almost identical steps, which means that this chapter can be used to deploy additional environments as defined by points 4 and 5.
We also cover part of step 1. As it was said at the beginning of last chapter, we moved all the AWS related steps to this chapter. This includes the steps to use CloudFormation to configure DynamoDB, which you need to run the sample application in a development environment.
In the following sections we talk about Ansible for deployments, we explain the scripts in this example and finally we show how to deploy the application using the scripts.
Remember that the scripts are available in Github. They can be downloaded and modified as required to help you deploy the sample application in EC2.
Ansible is a tool for DevOps that allows you to remotely execute commands in your servers. It provides a modular system in which you can define individual tasks to run according to the server role. Ansible complements the scripts with a thorough API that helps with common operations and a set of plugins for popular components (Amazon AWS, PostgreSQL, etc.).
In this article we use Ansible v1.3. This version (currently under development) expands the library of services related to Amazon AWS. The new components facilitate new operations like creating an AMI from an existing EC2 instance, something we need for our project.
The aim of the Ansible scripts is to automate the process of creating a custom AMI and using that AMI in CloudFormation to automate the deployment of the application. The scripts can also be used to release upgrades of the given application.
Ansible has minimal requirements; the only piece of software necessary on your machine to launch Ansible is Python 2.6 (or greater) and a few Python modules. This facilitates its deployment in any development or system administration computer. The connection with the servers is established via SSH, a common protocol included by default on all Linux machines.
Although we don't explain how to install Ansible in this document, as it depends on your system and the official website has excellent documentation, we want to bring your attention to a couple of common issues. The first one is that Ansible 1.3 requires the latest versions of some Python modules, namely boto, PyYAML, Jinja2 and paramiko. Your local environment may need to be upgraded or you may get execution errors when running the Ansible Playbooks.
Another possible issue is the management of AWS access keys. Ansible can read the AWS access and secret keys from system environment variables, but in some cases one of the Python modules used by Ansible, boto, may not find them. This means that you need to define a few environment variables in your system before running the scripts:
1
|
# Exports that may be needed in your system
export EC2_ACCESS_KEY=<key>
|
Lines 2 to 5 define necessary environment variables that contain the AWS access and secret key. Line 6 defines a variable that points to boto configuration. The file follows the format:
1
2
3
4
|
# BOTO config
[Credentials]
aws_access_key_id = <key>
aws_secret_access_key = <secret_key>
|
and it will be used by boto to authenticate Ansible requests against services like S3.
Ansible uses a series of scripts to define the instructions to run on a given server. The scripts are called Playbooks and they follow the YAML format. The Github repository contains the Ansible Playbooks we use to deploy the sample application. If you explore the folder you may notice that there is a certain structure in it. The folders and files are organized following Best Practices for Ansible.
Using best practices is not just a recommendation but almost a mandatory requirement. Many Ansible commands (on version 1.2 and onwards) assume some files will be located in the locations recommended by the best practices by default. Following these recommendations saves you time when trying to use these commands, and keeps the Playbooks nicely organized.
If you open the folder with the scripts, you may see the following contents:
groups_vars (folder): contains configuration variables for the Playbooks
roles (folder): contains the role Playbooks, modules with reusable functionality
webserver_setup.yml: defines the roles to execute when creating our custom AMI
cloudformation_setup.yml: defines the roles to execute when launching CloudFormation
local.hosts: a dummy hosts file used to launch our Ansible scripts against AWS.
Readme.md: some notes on the contents of the folder
In the root folder there are two main Playbooks available. One of them is used to create a custom AMI, while the other launches a CloudFormation group. These Playbooks contain a list of roles to run, in order of execution. The roles are the ones doing the real work, while the main Playbooks just list which ones we trigger. This division makes it very easy to change the steps being executed in a Playbook, by adding or removing roles.
The group_vars folder has a file named all. This file contains a list of pairs (key: value) which define variables and values. These variables are then used in the Playbooks, replacing each key by its corresponding value. This allows us, for example, to define the version of Play Framework we want to install and to change it later on by editing only one location.
The roles folder contains the different 'roles'. A role is a set of Playbooks, templates and other files that do a specific task in a server. For example, the 'create' role has a list of commands to create an EC2 instance. This division on roles facilitates reusing tasks across Playbooks, and we can enable or disable specific tasks for a given Playbook at any moment with minimal effort.
A full description of an Ansible script is outside the scope of this document, please refer to the documentation for this. This section provides a quick overview of the basics of a script.
An Ansible script is a YAML file, which is plain text and human readable, that contains a set of commands to execute in the target servers. An example:
1
2
3
4
5
6
7
8
9
10
11
|
# Secures an Ubuntu instance.
#
---
- name: Update APT package cache
action: apt update_cache=yes
- name: Run apt-get upgrade
action: apt upgrade=yes
- name: Install fail2ban
action: apt pkg=fail2ban state=installed
|
In the sample above line 3 indicates the start of the script. As you can see, we have three actions defined by a name and the action itself. The name is displayed during the execution of the Playbook, allowing us to know which step is being run. The action corresponds to either an Ansible command, using the modules and API provided by the tool, or a raw command executed via SSH.
The steps are run in order. If none of them fail, the script finishes with a status of success. If a step fails and we have not opted to ignore errors in that particular step, then the script will abort and we will be notified of the error. Having errors in one server may not mean that the execution will stop in other servers.
When writing Playbooks, be aware that Ansible is not atomic. That is, if the execution of the Playbook fails in a server Ansible doesn't rollback any step that has been executed in that server. This means that it is recommended to add steps that can be run multiple times or with proper safeguards. The script may fail in the middle of execution and you may need to execute it again on the same server, which results in some steps being run twice.
This section gives some details on the Ansible Playbooks used to create the custom AMI and to execute the CloudFormation template. We don't explain the code itself, as the scripts are documented in the source files, but we comment on the purpose of each script and how it works.
We have broken the process in two parts (two Playbooks) for practical reasons. One Playbook is used to create a custom AMI that contains the web application. The second is used to configure any required AWS resources and to launch the application.
By providing a Playbook to create a custom AMI based on an initial Ubuntu Linux AMI and the source of the application, we facilitate reusing the script. We can execute that same Playbook to create multiple AMI in multiple regions just by changing some configuration. This allows us to have multiple AMI ready for deployment, each one with specific settings, with minimal effort.
Deploying the system live is another task, bigger in scope and more costly economically due to all the resources needed in the cloud (databases, servers, etc. which have an hourly cost). And it's done sparingly, only to start specific projects. Thus, it makes sense to separate this step and provide a single Playbook that manages it. Again, this will facilitate using the script multiple times as we can specify the target AMI or the CloudFormation components for each execution without much effort.
With this, we can launch our application in AWS just by typing two commands.
The webserver_setup Playbook is used to create a custom AMI, based in Ubuntu 13.04, that is secured against external attacks and contains the web application ready to be deployed.
The Playbook executes 4 roles for this purpose:
create: this role creates a new EC2 m1.small instance and connects to it via SSH so the other roles can update it as required
secure: this role secures the instance by installing security applications and enabling some access restrictions
deploy: this role deploys the sample application to the instance. It uses configuration options to decide which version of Play Framework to install and where to find the source code, compiles it and deploys it in the server
saveAMI: this role saves the EC2 instance we have configured into a custom AMI, so we can create multiple instances with the exact same configuration
You should not need to modify the scripts, all the relevant configuration can be set via the Ansible all file, as explained in the next section.
The cloudformation_setup Playbook is used to execute a CloudFormation template in AWS and deploy a full application stack. The advantage of using CloudFormation is automating most of the process.
Usually we would need to define a DynamoDB database, a new MySQL RDS instance, AutoScaling, Load Balancing, etc. Lots of steps to be run manually for each deployment, very time-consuming. Using CloudFormation we simply define all this in a template which we execute so that AWS does all the required work for us. It simplifies the process and makes it easier to apply changes to it.
The Playbook has two requirements. The first is a custom AMI with the web application to deploy. In this case that is the custom AMI created by the Playbook described in the previous section, whose id we can add as a configuration entry.
The second requirement is the CloudFormation template itself. That is a JSON file that describes all the AWS components required, and that we can customize via some parameters. Ansible makes this part easy by including a task that allows you to indicate a template to run and the parameters to provide to the template.
This section explains how to run the scripts to create our custom AMI containing the project created in the previous article.
The scripts are mostly self contained. This means that you should not need to modify the Ansible Playbooks themselves, but there are some configuration settings to be adjusted for your own deployment.
The first step is to obtain an Amazon KeyPair. This is an important step as without a KeyPair you can't connect remotely to AWS. The official AWS documentation explains how to obtain a new KeyPair or download an existing one.
Once you have downloaded the KeyPair, you have to modify its attributes to be read only, and then add it to SSH via ssh-add:
$ chmod
600 sample-play-aws.pem
$ ssh-add sample-play-aws.pem
The next step is to ensure that all the Ansible configuration is as expected. We have 3 main files to check:
group_vars/all: this file contains values used across all the Playbooks. Values include the AWS region to use for deployment, the name of the KeyPair for AWS operations or the version of Play Framework to download. Ensure the values are correct before proceeding.
roles/deploy/files/start: this is the start script used to launch the web application. Add the proper values to connect to the RDS db and the AWS credentials via -D JVM properties. If not updated properly, the application won't start.
roles/cloudformation/files/PlayFrameworkApp.json: this file contains a CloudFormation template. You can edit it to add or remove CloudFormation elements from it.
As a clarification, there is one variable in group_vars/all that can't be updated properly until we run the first step of the process. That variable is cf_ami and points to the AMI created by the first Ansible Playbook. The value is only relevant when using the CloudFormation Playbook.
To run the scripts you need to have Ansible installed. If you have not installed it yet, please follow the instructions corresponding to your development environment. Ansible 1.3 is required to run the scripts in this example. We assume that the configuration details, as described above, are correct.
Is at this point when one sees the advantages of using Ansible versus other systems. We have to execute only two scripts, corresponding to the two steps: create a custom AMI and use CloudFormation to deploy the application. The scripts automate all the process, freeing you from a time consuming work so you can focus on other tasks.
To run the first script, go to the folder where you have deployed your Ansible files and execute the following command:
$ ansible-playbook -i local.hosts --private-key=<path_to_pem_file> webserver_setup.yml
This will launch the Playbooks to create a custom AMI that contains our application, and it will take several minutes. An example of the output is:
Once the script has run, log into your AWS Console to retrieve the id of the custom AMI and add it to the configuration file as the value for the cf_ami variable. This tells the CloudFormatio Playbook which AMI to use for the setup.
To deploy the application using CloudFormation, execute:
$ ansible-playbook -i local.hosts --private-key=<path_to_pem_file> cloudformation_setup.yml
The script launches a CloudFormation stack, which may take several minutes.
After executing the scripts, you can go to your AWS Console to verify that all the components have been created. In particular you may want to visit the CloudFormation dashboard, where you can see a list of the components Ansible launched.
Having created an Elastic Load Balancer as part of the process, you can obtain its public Elastic IP. This allows you to map the balancer to a custom domain via Route 53 or your own DNS management system.
At this stage we have deployed the application in EC2 and enabled scaling based on demand. If we access the application via the custom domain we associated to our Elastic Load Balancer, we see the main page of the application:
To
test the scaling of the application I recommend using Siege.
Usage of Siege is outside the scope of this document, but you can
find an example in here.
This concludes the second chapter of the article. At this point we have created a Play Framework application that interacts with Amazon AWS and we have deployed this application in Amazon EC2 using Ansible. The next chapter explains how to deploy the same application in Elastic BeanStalk.


Donald Norman
"the [design research]...community attempts to understand basic patterns of human and social behavior and how technology affects both"
"we have many myths about the power of design research, brainstorming, rapid prototyping, iterative test and design, but zero evidence"
"even when researchers well versed in experimental methods attempt to study practices, they discover the very nature of a practical discipline throws in so many idiosyncratic variables that rigor is simply not possible"
"Pasteur...started with a real, practical problem, realized it needed some fundamental scientific advances before it could be solved, did the science, and then applied it back to the problem. In other words, the research was done in search of a solution to a real problem: what Stokes calls “use-inspired basic research.”"


Provides an interface for the command-line option flags and flag descriptions.
Interface contains short and long names.


Features:
Overview
Build your own 18" Pro-Sound Subwoofer! Plans available
The SAW 118 subwoofer is designed with the working band in mind - Integrated, leak free handles are strategically placed where you need them. The symmetric front baffle provides flexibility in placement allowing them to be stacked or set side by side with equal spacing of the center of the woofer and the vents. A extremely rigid box that is easy to build yet professional looking - requiring only a single sheet 4 x 8 sheet of 3/4" plywood (with a very small amount of 1/2" plywood for vents and grill mounts). The design uses the Peavey Low Rider 18" driver that is powerful and readily available. Box Internal Volume (Vb) of 6.8 Cu Ft and an F3 of 38 Hz.
Drivers that can be used for the SAW118 include:
Specifications |
|---|
Power handling: |
|
800 Watts RMS |
|
1600 Watts Program |
Impedance: |
|
8 Ohms |
Frequency Response: |
|
38Hz - 120Hz |
Weight: |
|
98Lbs |
Dimensions: |
|
Height: 24" |
|
Width: 24" |
|
Depth: 30" |


link to main content hidden in CSS
logo and back to the base page
info and back to the base page
check the effect of logo background picture in css.
HOME
>
NC Coast Locations
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Triangle Locations
Wilmington Locations
this is the ul with ID ullegend
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| Deprecated Methods | |
|---|---|
| Citrus\buildSQLSchema | Builds SQL schema and writes it in a .sql file. |
| Citrus\db\Connection\prepareInsert | Prepare an insertion query |
| Citrus\db\Connection\prepareUpdate | Prepare an update query |
| Citrus\db\Connection\execInsert | Inserts values contained in $columns in $table |
| Citrus\db\Connection\execUpdate | Updates a row identified by $keyName with values contained in $columns in $table |
| Citrus\data\Model\hydrateWithArgs | |
| Citrus\data\Model\getOne | Fetches the object of ID $id |
| Citrus\data\Model\hydrate | Hydrates the object |
| Citrus\mvc\View\displayStyleSheets | Generates the html tags to call the stylesheets in the html document |
| Citrus\mvc\View\displayJavascriptFiles | Generates the html tags to call the stylesheets in the html document |


Biography
My name is Mohammad Za'areer, 28 years old. I was born in Irbid, Jordan and now live in Ajloun. I'm passionate about programming and web development.
Education
- Full-stack software developer in JavaScrip - 2021 | code fellows, Amman-Jordan
- B.Sc Computer Engineering - 2017 | Jordan University of Science and Technology, Irbid-Jordan
Goals
- Being professional Software developer within 3 years from now.
- Acquire new skills in Technology field and develop my personal sills.
- Being effective in society through helping people to make their life better.
- Enhance my English skills until being fluent.
Top Ten Tech fields of the future
- Self driving cars
- Robotics
- Drones
- Smart farming
- Smart building
- Artificial intelligence
- Virtual reality
- Security
- 3D printing
- 3D Entertainment


GitLab Community
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---
layout: post
status: publish
published: true
title: "
Podcast 3.53 - Bonus Episode -
Plans for Future of Ivy Envy"
author:
display_name: Corey Fineran
login: Corey
email<EMAIL_ADDRESS>url: ''
author_login: Corey
author_email<EMAIL_ADDRESS>wordpress_id: 6518
wordpress_url: http://ivyenvy.com/?p=6518
date: '2011-12-16 06:28:40 +0000'
date_gmt: '2011-12-16 12:28:40 +0000'
categories:
- Ivy Envy
- Podcast
tags:
- Ivy Envy
comments: []
---
In this bonus episode, we tell you about some of our plans for the future of Ivy Envy.


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By @astronomyblog & @LoveGraphs. Stats last updated 28 December 2017.
It seems there may have been at least 19 shows and 159 listed appearances. With 8 people per show, Comedy.co.uk has 5% more appearances listed than required (and probably a similar percent of people) perhaps due to listing special guests. The host/captains/regulars have included Seann Walsh (Scorer × 19), Romesh Ranganathan (Regular × 19), Holly Willoughby (Host × 19), Frank Lampard (Team Captain × 19), Bradley Walsh (Team Captain × 19), Jimmy Bullard (Assistant × 7).
Total appearances:
Guest appearances i.e. ignoring the host/captains/regulars:
All people:
Guests i.e. ignoring the host/captains/regulars:
Last updated: 2017/12/28


Sketch of Sllit-Scan using HTML5 UserMedia and Canvas. Example Output. Click image to save. Works on Google Chrome.


Small interesting picture
Small javascript inserted ( and also interesting ) image.
Positive: this visualization has used a clever way of linking oscar nominated actors to movies that has recieved an oscar. Linking multiple data points together can be relatively complex. The author has put the actor in focus as big icons. It is clear that the actors are in focus. Having movies as connected nodes makes it possible to have multiple actors connected to the same node and in turn figuring out who have worked on the same movie.
Negative: before understand excactly what was going on I had to read a few boxes of text. There is a lot to take in.
Positive: a simple representation pie chart shows a division of different countries. There's a power strong popup effect as it is easy to see which slice is bigger than the other. It works well as the emphasis is on the size of emission.
Negative: there is an popout effect however this effect becomes smaller when you look at the countries with least emissions. It's hard to see a difference between countries that have below 2%. With the few amounts of countries representated it might have been better to show a simple bar chart, which would have made it easier to spot differences even in countries with low CO2 emissions.
Data: I have datafiles with 250.000 SNPs on 150 people. Some of these SNPs have been linked to 20 categories which have a certain phenotype in fitness, nutrition and lifestyle. Each category have a score that goes from 0 to 100. I would like to visualise, for each category and all categories combined, a comparison between one persons unique cateogory result and the mean of peoples result.
Story: I want the visualisation to tell a story about the unique individual. Where are you compared to other people in this category and all categories combined. It should allow the person to dive into his own genetics and explore him-/herself.
Audience: The audience is people who get a gene test who are interested in learning more about themself. It draws a unqiue image that is different from person to person.
Sketch: One of the reasons that I have taken this course is to be inspired to help me find out what kind of visualisation I want to use on the describe data.


Omitting an element & preserving children
The TAL omit-tag attribute allows an element's start and end tags to be removed from the rendered DOM, but for its children (text and elements) to be preserved.
Syntax
tal:omit-tag="EXPRESSION"
The expression
The expression (EXPRESSION
) is
evaluated as a TALES expression. If the result either
indicates that the action is to be cancelled, or it evaluates to
null
, then the attribute is treated as if the expression had evaluated to false.
Upon any other expression result, that result is then coerced to a boolean value. If this yields true then the element's start and end tags are omitted from the DOM in the rendering. If it yields false then the element's start and end tags are not altered.
Any HTML/XML elements prefixed with
tal:
or metal:
will exhibit the omit-tag behaviour.


Solution for Standalone buildings, Apartments and Gated Communitiese
Comprehensive system for IT parks, Industries
End-to-End support system for water distribution to farms and gardens
Smart City Solutions


Street Fighter (1994) * * A movie review by Serdar Yegulalp Copyright 1998 by Serdar Yegulalp
CAPSULE: If MORTAL KOMBAT is at the high end of the video-games-to-movies spectrum....
Well, at least they tried. Alas, STREET FIGHTER is still a lousy movie, period. They were trying to make at least an enjoyably lousy movie, but they haven't even managed to do that. Video games often make bad movies, but at their best they can make enjoyably pulpy ones like MORTAL KOMBAT. At their worst, you get SUPER MARIO BROTHERS. Or this.
Capcom's video game, which revitalized a sagging coin-op video game market and created a trend for many other games to follow, had a few firsts: it featured a diverse and intriguing cast of characters to choose from, and it also featured a number of strong and visually arresting female characters (Chun Li and Cammy), who did more than hang around and wait to get saved. I agree: It all sounds like the recipe for an engaging movie. This isn't it. It has the heart of a made-for-TV film and the mind of one of those thimble-deep comic-book tie-ins that got packaged with video game cartridges when I was younger.
The movie takes the basic character templates from the game and casts them in a thin plot that takes heavy cues from the Gulf War.  Leading the AN attack to recover them is Colonel Guile (Jean-Claude Van Damme), who also has a personal score to settle with the self-styled General.
There are other folks who are equally set on revenge: journalist Chun-li Zhang (Ming-Na Wen, the next-best thing in the movie) and her crew (E. Honda [Peter Navy Tuiasosopo] and Balrog [Grand L. Bush]). What up, guys? I thought Chun-li was with INTERPOL -- but never mind. The movie plays fast and loose with the Street Fighter "mythology", which is OK, I guess, as long as the results are at least passably entertaining. And they are. Occasionally, there are some great moments -- watch what happens when Chun-li first does her thing -- but they don't add up to a great movie.
The actors do what they can with the material, which is sometimes witty and sometimes labored. Jean-Claude Van Damme isn't bad (how good can he be?), just tacky, and Raul Julia is a lot of fun -- but costumes and makeup cannot hide his obvious gauntness. This was his last theatrical movie -- depressing, especially since the movie was dedicated to him. I liked Wen's Chun-li -- she looks and moves like the real article, and provides a hint of where this movie really could have gone.
What went wrong here? There's a lot to look at. The set and costume designers went out of their way to make the movie look interesting. The fights -- some of them clearly modeled on the game's own action, of course -- are acceptably put together. But there's nothing to push the movie over the top and make it really special, instead of just something you knew they were gonna try eventually. It has all the hallmarks of a road already traveled, instead of something where they took risks with the goofy material and made it into something wild and unique. It's too routine, too predictable, too careful, and too safe.
POSTSCRIPT: There is a 1993 Hong Kong movie version of Street Fighter that's worth tracking down. It stars Jacky Cheung as Guile, Chingmy Yau as Chun-li and Simon Yam and Andy Lau. It's nowhere nearly as well-produced, but it is ten thousand times more anarchic and entertaining than this one could ever be.
POSTSCRIPT II: An animated feature-length version of the game also exists, as well as a TV series. The series is nicely done; the feature-length anime is not.
The review above was posted to the
rec.arts.movies.reviews newsgroup (de.rec.film.kritiken for German reviews).
The Internet Movie Database accepts no responsibility for the contents of the
review and has no editorial control. Unless stated otherwise, the copyright
belongs to the author.
Please direct comments/criticisms of the review to relevant newsgroups.
Broken URLs inthe reviews are the responsibility of the author.
The formatting of the review is likely to differ from the original due
to ASCII to HTML conversion.
Related links: index of all rec.arts.movies.reviews reviews


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This is a beautiful,friendly,entertainment city in Asia!
 The temples of the carved dragon paintings perfectly match the modern streets, and many world-class restaurants are always ready to offer you the most authentic Chinese cuisine. Forget it, the delicious night market snacks not only bring you the satisfaction of the mouth, but also the ideal place to experience your life in Taiwan!
Get Started!


SdFat
Main Page
Classes
Files
Class List
Class Hierarchy
Class Members
partitionTable Member List
This is the complete list of members for
partitionTable
, including all inherited members.
beginCylinderHigh
partitionTable
beginCylinderLow
partitionTable
beginHead
partitionTable
beginSector
partitionTable
boot
partitionTable
endCylinderHigh
partitionTable
endCylinderLow
partitionTable
endHead
partitionTable
endSector
partitionTable
firstSector
partitionTable
totalSectors
partitionTable
type
partitionTable
Generated on Tue Jun 28 2011 07:21:47 for SdFat by
1.7.4


In this article you will learn how to create an extended dumbbell
plot in R showing an
additional grouped mean and standart deviation
using the ggplot2
plotting library.
This article showcases a novel approach to the dumbbell plot created by Tobias Stalder, a geographer and datavisualization specialist based in Switzerland. You can find updates on his recent work on Twitter, LinkedIn and github.
Note that you can find the original R script in this TidyTuesday github repository.
Suggested citation:
Stalder, T., Holtz, Y. (2021): Extended Dumbbell Plot in R with ggplot2.
R graph gallery. Access:
r-graph-gallery.com/web-extended-dumbbell-plot-ggplot2.html.
Date: DD-MM-YYYY.
The extrafont
package is used to import additional fonts.
If you are unfamiliar with this package, you need to run the following
commands to load and import the fonts (Takes a while!)
The data for this plot was retrieved from TidyTuesday, a weekly datavisualisation challenge on twitter. You can read more about the data here and visit this github repository to learn more about TidyTuesday. The dataset is about enrollments in historically black colleges and universities (HBCUs).
You can load the data by running the following line:
hbcu_all <- readr::read_csv('https://raw.githubusercontent.com/rfordatascience/tidytuesday/master/data/2021/2021-02-02/hbcu_all.csv')
Next, we will look at the data. We see a yearly resolution of enrollments in different categories.
Console output:
# A tibble: 6 x 12
Year `Total enrollme~ Males Females `4-year` `2-year` `Total - Public`
<dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl>
1 1976<PHONE_NUMBER>69<PHONE_NUMBER>76 15937 156836
2 1980<PHONE_NUMBER>87<PHONE_NUMBER>09 15548 168217
3 1982<PHONE_NUMBER>97<PHONE_NUMBER>17 16354 165871
4 1984<PHONE_NUMBER>23<PHONE_NUMBER>44 14675 164116
5 1986<PHONE_NUMBER>3<PHONE_NUMBER>31 16044 162048
6 1988<PHONE_NUMBER>61<PHONE_NUMBER>50 16505 173672
# ... with 5 more variables: `4-year - Public` <dbl>, `2-year - Public` <dbl>,
# `Total - Private` <dbl>, `4-year - Private` <dbl>, `2-year - Private` <dbl>
For the example plot, I focused on the enrollment between two genders
from 1990 onwards. So we use the dplyr
package to conduct a
first data wrangling step, getting a small dataset which contains data
on male and female enrollments per year and the numeric difference
between them.
hbcu_all %>%
filter(Year >= 1990) %>% #filter the year
select(Year, Males, Females)%>% #select columns of interest
mutate(diff = Females - Males) %>% #calculate difference
pivot_longer(cols = c(Males, Females)) %>% #get into long format
rename(Gender = name, #rename columns
Enrollments = value)-> dat_gender
head(dat_gender)
Console output:
# A tibble: 6 x 4
Year diff Gender Enrollments
<dbl> <dbl> <chr> <dbl>
1 1990 46838 Males 105157
2 1990 46838 Females 151995
3 1991 48451 Males 110442
4 1991 48451 Females 158893
5 1992 50297 Males 114622
6 1992 50297 Females 164919
In order to plot the range between the two groups later on, we need two tibbles which are only holding the data of 1 gender each.
Males <- dat_gender %>%
filter(Gender == "Males")
Females <- dat_gender %>%
filter(Gender == "Females")
head(Females)
Console output:
# A tibble: 6 x 4
Year diff Gender Enrollments
<dbl> <dbl> <chr> <dbl>
1 1990 46838 Females 151995
2 1991 48451 Females 158893
3 1992 50297 Females 164919
4 1993 50062 Females 166459
5 1994 52059 Females 166065
6 1995 53451 Females 166088
This data is all we need to create a basic dummbell plot.
Now we can use the ggplot2
package to plot a basic dumbbell
plot. The geoms that we are going to use are
geom_point()
for the groupwise points and
geom_segment()
to create a visible connection between the
two group entries per year.
p <- ggplot(dat_gender)+
geom_segment(data = Males,
aes(x = Enrollments, y = Year,
yend = Females$Year, xend = Females$Enrollments), #use the $ operator to fetch data from our "Females" tibble
color = "#aeb6bf",
size = 4.5, #Note that I sized the segment to fit the points
alpha = .5) +
geom_point(aes(x = Enrollments, y = Year, color = Gender), size = 4, show.legend = TRUE)+
ggtitle("Enrollment Trends at Historically Black Colleges and Universities")
p
To plot the extended version of this viz, we need to add the labels on the range and the line and shading for mean and standard deviation per group. So first, we further wrangle the data to calculate the mean +/- 1 standard deviation per group over all years and then create 2 separate tibbles, 1 for each group.
dat_gender %>%
group_by(Gender) %>%
summarise(mean = mean(Enrollments),
SE = sd(Enrollments)) %>%
mutate(meanpos = mean + 1 *SE,
meanneg = mean - 1 *SE)-> stats
stats_males <- stats %>%
filter(Gender == "Males")
stats_females <- stats %>%
filter(Gender == "Females")
head(stats)
Console output:
# A tibble: 2 x 5
Gender mean SE meanpos meanneg
<chr> <dbl> <dbl> <dbl> <dbl>
1 Females 177866. 13908. 191774. 163958.
2 Males 115789. 6065. 121854. 109724.
As for the labels on the range, we need a tibble that holds the difference between the groups per year and a column indicating the position of the label.
diff <- dat_gender %>%
filter(Gender == "Males") %>% #you can chose Males of Females, doesn't matter
mutate(x_pos = Enrollments + (diff/2)) #x position of label (Enrollment value of Males + diff/2)
head(diff)
Console output:
# A tibble: 6 x 5
Year diff Gender Enrollments x_pos
<dbl> <dbl> <chr> <dbl> <dbl>
1 1990 46838 Males<PHONE_NUMBER>76
2 1991 48451 Males<PHONE_NUMBER>68.
3 1992 50297 Males<PHONE_NUMBER>70.
4 1993 50062 Males<PHONE_NUMBER>28
5 1994 52059 Males<PHONE_NUMBER>36.
6 1995 53451 Males<PHONE_NUMBER>62.
I’m pretty sure that the data wrangling can be improved at this point, so feel free to create a pull request in my github repository if you feel like contributing.
In a first step, we add the labels on the ranges using our
diff
tibble and geom_text()
.
p +
geom_text(data = diff,
aes(label = paste("D: ",diff), x = x_pos, y = Year), #note thatI changed the greek letter Delta to "D:" because of encoding reasons
fill = "white",
color = "#4a4e4d",
size = 2.5,
family = "Segoe UI Semibold") -> p_labelled
p_labelled
To have more control over the spacing between the line-ranges we add a
facet
on the y axis. Since this will look horrible, we add
some theme()
specifications to set the angle of the facet
strip texts and add some styling.
p_labelled +
#add facet for more control
facet_grid(Year ~ ., scales = "free", switch = "y") +
#theming
theme_minimal()+
theme(panel.grid.major.y = element_blank(),
panel.grid.minor.y = element_blank(),
panel.grid.major.x = element_blank(),
panel.grid.minor.x = element_blank(),
axis.title.y = element_blank(),
axis.text.y = element_blank(),
axis.ticks.y = element_blank(),
axis.ticks.x = element_line(color = "#4a4e4d"),
text = element_text(family = "Segoe UI Semibold", color = "#4a4e4d"),
strip.text.y.left = element_text(angle = 0),
panel.background = element_rect(fill = "white", color = "white"),
strip.background = element_rect(fill = "white", color = "white"),
strip.text = element_text(color = "#4a4e4d", family = "Segoe UI"),
plot.background = element_rect(fill = "white", color = "white"),
panel.spacing = unit(0, "lines"),
plot.margin = margin(1,1,.5,1, "cm"))-> p_ext_facetted
p_ext_facetted
Next, we place two small text annotations for mean and standard
deviation so the reader knows what this is about. In the same step, we
can define the point colors with `scale_color_manual()
. We
add the mean and standard deviation per gender group using
geom_vline()
and geom_rect()
We add this
before the rest of the plot because we want the
point-ranges to be on top of it. We also add 2 text annotations for mean
and standard deviations with annotate()
.
ggplot(dat_gender)+
#add mean and standard deviation for both groups
geom_rect(xmin = stats_males$meanneg, xmax = stats_males$meanpos,
ymin = 2016, ymax = 1989, fill = "#762a83", alpha = .05)+
geom_vline(xintercept = stats_males$mean, linetype = "solid", size = .5, alpha = .8, color = "#762a83")+
geom_rect(xmin = stats_females$meanneg, xmax = stats_females$meanpos,
ymin = 2016, ymax = 1989, fill = "#009688", alpha = .05)+
geom_vline(xintercept = stats_females$mean, color = "#009688", linetype = "solid", size = .5, alpha = .8) +
#add point range
geom_segment(data = Males, aes(x = Enrollments, y = Year, yend = Females$Year, , xend = Females$Enrollments),
color = "#aeb6bf", size = 4.5, alpha = .5) +
#add points
geom_point(aes(x = Enrollments, y = Year, color = Gender), size = 4, show.legend = FALSE) +
#color points
scale_color_manual(values = c("#009688","#762a83"))+
#add point-range labels
geom_text(data = diff, aes(label = paste("D: ",diff), x = x_pos, y = Year), fill = "white", color = "#4a4e4d", size = 2.5, family = "Segoe UI") +
#add annotations for mean and standard deviations
geom_text(x = stats_females$mean - 1500, y = 1990, label = "MEAN", angle = 90, size = 2.5, color = "#009688", family = "Segoe UI")+
geom_text(x = stats_females$meanpos -1500, y = 1990, label = "STDEV", angle = 90, size = 2.5, color = "#009688", family = "Segoe UI")+
#add facets for more control
facet_grid(Year ~ ., scales = "free", switch = "y") +
#add title
ggtitle("Enrollment Trends at Historically Black Colleges and Universities")+
#theming
theme_minimal()+
theme(panel.grid.major.y = element_blank(),
panel.grid.minor.y = element_blank(),
panel.grid.major.x = element_blank(),
panel.grid.minor.x = element_blank(),
axis.title.y = element_blank(),
axis.text.y = element_blank(),
axis.ticks.y = element_blank(),
axis.ticks.x = element_line(color = "#4a4e4d"),
text = element_text(family = "Segoe UI", color = "#4a4e4d"),
strip.text.y.left = element_text(angle = 0),
panel.background = element_rect(fill = "white", color = "white"),
strip.background = element_rect(fill = "white", color = "white"),
strip.text = element_text(color = "#4a4e4d", family = "Segoe UI"),
plot.background = element_rect(fill = "white", color = "white"),
panel.spacing = unit(0, "lines"),
plot.margin = margin(1,1,.5,1, "cm")) -> p_styled
p_styled
ggtext
In a final step we the subtitle and caption using
element_markdown()
from the ggtext
package.
This is the final code which will produce the extended dumbbell plot:
p_styled +
#add subtitle and caption
labs(subtitle = "**Male** and **Female** Enrollment from 1990 to 2015
",
caption = "Plot by **Tobias Stalder** | tobias-stalder.netlify.app
Data from **data.world** | data.world/nces | originally by NCES
**#TidyTuesday**")+
#add theming for title, subtitle, caption
theme(plot.caption = element_markdown(hjust = 0, lineheight = 1.5),
plot.subtitle = element_markdown(size = 14, hjust = -.06),
plot.title = element_text(size = 16, hjust = -.14)) -> p_fin #Note that hjust of title and subtitle depend on the export dimensions
p_fin


Edible Seaweeds
Seaweed contains high levels of iodine relative to other foods.
Wakame
Arame
Nori
Kombu
Dasima


To use commands requiring an interactive terminal:
Use DTerm's “Execute in Terminal” command instead of directly executing in DTerm. See Running commands in Terminal.
DTerm is not an interactive terminal, so commands which require one may fail. You are most likely to encounter this with text editors like emacs, vi, pico, and nano.
Use DTerm's “Execute in Terminal” command instead of directly executing in DTerm. See Running commands in Terminal.


About Us
Seizing the moment in 2009, WAC purchased a vintage, French-built 1974 Samiac roaster from a company in Switzerland, and set about building a new business around it. Having dozens of years experience in training and consulting in the specialty coffee industry, Bruce and Matt saw a great opportunity also to develop and showcase a retail and roasting business in same building as the American Barista & Coffee School, and share with new Water Avenue Coffee customers, the decades of combined experience to offer an unsurpassed level of support.


libdfxpython is the Python 3 wrapper for the Nuralogix DeepAffex™ SDK
Download the appropriate wheel file for your OS (Windows, Linux or macOS) and install using pip
.
pip install ./libdfx-4.0.4-py3-none-linux_x86_64.whl # Replace filename with the one for your OS
While libdfxpython itself doesn't have any dependencies other than cffi
, we highly recommend using
opencv-python
to interact with it.
The example script in this archive (dfxexample.py
) requires opencv-python
. For a quick test, download
the DFX Example archive, which contains:
You will also need a study configuration file, which you should have obtained directly from
Nuralogix. A generic example (generic-v7.dat
) is available in the dfxsdk/res/models folder of the C/C++ SDK.
In a terminal shell, run:
pip install opencv-python
python dfxexample.py dfxDemoCP1.mov dfxDemoCP1-faces.json generic-v7.dat -o chunks
The output of running the example is several files (in the chunks folder) which contain the data to be sent to the server. Specifically, the payload0.bin contains the binary payload and properties0.json contains the Server API DataRequest property values describing the payload, for the first chunk.
payload0.bin
properties0.json
metadata0.bin
etc.


| Tournament Name | McGill Explosive Chess I |
| Place | Montreal |
| Federation | CAN |
| Date Begin | 22/11/2018 |
| Date End | 22/11/2018 |
| Arbiter(s) | Friendship |
| Play System | swiss FIDE Dutch (JaVaFo) |
| Rounds | 5 |
| Score game | 0-0.5-1 |
| Tie break | Buc1 BucT |
| Registered Players | 7 |
| Number of Federations | 3 |
| Average Rating (all) | 1200 |
| Average Rating (only FIDE rated) | 1200 |
| Players from CAN Federation | 3 |
| Players NOT from CAN Federation | 4 |
| FIDE rated players | 7 |
| unrated players | 0 |
| unrated players from CAN Federation | 0 |
| unrated players NOT from CAN Federation | 0 |
| unrated Federations | 0 |
| FIDE titled players | 0 |
| GM players | 0 |
| WGM players | 0 |
| IM players | 0 |
| WIM players | 0 |
| FM players | 0 |
| WFM players | 0 |
| CM players | 0 |
| WCM players | 0 |
| FIDE titled player from CAN Federation | 0 |
| FIDE titled player NOT from CAN Federation | 0 |


Preparation time
1-2 hours
Cooking time
30 mins to 1 hour
Serves
Serves 4
James Martin's classic winter warmer is comfort food at its best - and great for making ahead of time.
For this recipe you will need a pasta machine.
For the homemade pasta, tip the flour onto a clean work surface and make a well in the centre. Crack the eggs into the well, then gradually draw the flour into the eggs until the mixture comes together as a sticky dough. Knead the dough on a lightly floured work surface until all of the flour has been incorporated and the dough is smooth. Alternatively, blend the flour and eggs in a food processor until the mixture forms small crumbs. Tip it out onto a clean, lightly floured work surface and squish into a ball, then knead for a few minutes until smooth.
Wrap the pasta dough in cling film and chill for 20 minutes in the fridge.
Dust the rollers of your pasta-rolling machine with flour.
Cut the chilled pasta dough into 3 equally sized pieces and flatten them with the palms of your hand to a thickness of 1cm/½in.
Starting at the lowest (thickest) setting, feed the dough through the machine, turning the handle with one hand and holding the dough as it comes through the machine with the other.
Change the setting on the pasta machine to the next-thickest setting, flour it again and feed the pasta sheet through the machine again, as before.
Repeat this process 3 or 4 more times, flouring the machine and changing the setting down each time until the last but one setting. You should end up with a long sheet of pasta.
Repeat the rolling process with the remaining pieces of pasta dough.
Fold the rolled pasta sheets over into a manageable size, then cut them lengthways to form strips of linguine about 3mm thick. Hang the linguine over a rack so that it can dry out slightly while you make the ragu.
For the ragu, heat the oil in a large flameproof casserole over a medium heat. Add the onions and garlic and fry for 2-3 minutes, or until softened but not coloured.
Add the carrot and celery and fry for another 2-3 minutes. Add the bacon and fry for a further 1-2 minutes.
Add the beef mince and fry for 2-3 minutes on each side, or until just browned.
Stir in the tomato purée and continue to cook for 1-2 minutes, then pour in the tinned tomatoes and red wine and bring the mixture to the boil.
Stir in half of the basil leaves, then reduce the heat until the mixture is simmering. Simmer for 45 minutes, or until the sauce has thickened. Season, to taste, with salt and freshly ground black pepper. Stir in the remaining basil leaves just before serving.
To serve, bring a large pan of salted water to the boil. Add the pasta and cook for 3-4 minutes, or until tender. Drain well, then add the pasta to the pan of ragu and mix well to coat the pasta in the sauce. Serve sprinkled with the Parmesan.


Please indicate in your email the name of the fuel supplier company and their primary contact
If the transfer partner is not yet registered they can submit a request for registration to the Director of the Low Carbon Fuels Branch by email: LowCarbonFuels@gov.bc.ca.


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Ruby Pizzaria.
Contact Us
Pizza preperation.
Preferred pizza size:
Small Size @ Kshs 400
Medium size @ Kshs 600
Large size @ Kshs 900
King Size @ Kshs 1200
Preferred pizza Crust
Thin crust @ Kshs 200
Thick crust @ Kshs 300
Heavy crust @ Kshs 400
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title
subtitle
date published
I don't think I do well with conflict. I'm a bit of an idealist, the universe presents problems, people figure out whether they're soluble or not, if so, they work together to fix them. I know the alternative, when pettiness or pride or fear jack the cost of cooperation up too high exists, but still get the kind of feeling that the world has gone askew when it happens. There's a very different kind of thought process that goes on when all parties are unsure of how to go forward and believe they can find one, and when two parties believe they have found ways forward, but they are mutually exclusive or even counter productive of each other.
The last social interaction that I think had the confrontational aspect needed to call it a conflict was during the set up phase for a secret santa amongst the group of grad students I'd spent the semester with. There was a first year who had been growing increasingly irritating to me, being condescending, greeting enthusiasm with sarcasm and vulnerability with mockery. Just in general the kind of zero-sum behavior not apropriate for research science. When the secret-pairing went underway not everyone was available because schedules. So about half of the names are unattended. After awhile he starts going around looking at them, making a commotion with each one he reads. The rest of us are asking him to stop in increasingly vocal ways. He eventually stops and then when someone who wasn't there comes in, tricks them into reading his collection of pairs. The end result was that large quantities of the names were re-assigned.
The sources of distress I felt were partly rooted in the fact that he was a grad student behaving in manner so utterly unbecoming of a physicist and the mismatch between the things I wanted to do him and the things that would help him learn. I eventually took that energy and did something nice for the other people in the office besides him and let myself interpret that as punishing him. I also on a few instances talked to him in private expressing my misgivings about the way he acted, I don't know how effective it was, but it was what I could do, being a guest in that place.
I learned little about resolving conflicts dealing with him. I observed a new kind of callous arrogance in physics, behavior I hadn't had to deal with since junior high. Which makes it all the sadder and frustrating to have to cope with it among graduate students.


In commemoration of Martin Luther King Jr., I offer three quotes (short excerpts) from his speach Beyond Vietnam, from 1967.
[...] They asked if our own nation wasn't using massive doses of violence to solve its problems, to bring about the changes it wanted. Their questions hit home, and I knew that I could never again raise my voice against the violence of the oppressed in the ghettos without having first spoken clearly to the greatest purveyor of violence in the world today: my own government. For the sake of those boys, for the sake of this government, for the sake of the hundreds of thousands trembling under our violence, I cannot be silent.
...
The war in Vietnam is but a symptom of a far deeper malady within the American spirit, and if we ignore this sobering reality, we will find ourselves organizing "clergy and laymen concerned" committees for the next generation. They will be concerned about Guatemala and Peru. They will be concerned about Thailand and Cambodia. They will be concerned about Mozambique and South Africa. We will be marching for these and a dozen other names and attending rallies without end unless there is a significant and profound change in American life and policy. So such thoughts take us beyond Vietnam, but not beyond our calling as sons of the living God.
...
It is a sad fact that because of comfort, complacency, a morbid fear of communism, and our proneness to adjust to injustice, the Western nations that initiated so much of the revolutionary spirit of the modern world have now become the arch antirevolutionaries. This has driven many to feel that only Marxism has a revolutionary spirit. Therefore, communism is a judgment against our failure to make democracy real and follow through on the revolutions that we initiated. Our only hope today lies in our ability to recapture the revolutionary spirit and go out into a sometimes hostile world declaring eternal hostility to poverty, racism, and militarism. With this powerful commitment we shall boldly challenge the status quo and unjust mores, and thereby speed the day when "every valley shall be exalted, and every mountain and hill shall be made low; the crooked shall be made straight, and the rough places plain."
—Martin Luther King, Beyond Vietnam, 1967.
The rest of this speach also includes an interesting history of the Vietnamese conflict.


Breaking: Court sacks Emirs appointed by Gov. Ganduje
by The Eagle OnlineA Kano State High Court has sacked four emirs appointed by the Governor of Kano State, Abdullahi Ganduje.
According to Daily Nigerian, Usman Na’Abba, the Presiding Judge, gave the order on Thursday.
The governor had created four additional Emirates in Kano in a bid to diminish the influence of Muhammad Sanusi II, the Emir of Kano, claiming that the move was for administrative convenience.
Emir Sanusi challenged the action in court.
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Stanbic IBTC rewards outstanding students to promote financial literacy


Notes for Wednesday, February 22
Choropleth maps
Maps of
Oscar nominated movie trailer popularity
How analysis based on
ZIP codes in Flint MI
masked clear patterns in
lead contamination
.
Compare California counties to this
Density plot
of California
Two resources for color scales:
Color Brewer
and
Colorgorical
Multiple asynchronous data loading.
Geographic formats.
Generation of path strings.
Joining data across formats.
Data from
USDA Atlas of Rural and Small-Town America
.


Tomcat Hates Encoded Slashes
• Ray NicholusLet’s picture a small segment of a typical web application in order to better understand this problem. We’ll focus mostly on the server here, but the client plays a key role as well. On the server, we have a REST endpoint that exists to proxy information from another endpoint. This handler accepts GET requests. The other endpoint to proxy is included as a path parameter. The signature of our endpoint handler looks something like this:
@GET
@Path("proxy/{url}")
String getData(@PathParam("url") String url);
In case it is not already obvious, the above code is part of a Java interface, and the annotations are part of the javax.ws.rs package, which is a collection of interfaces and annotations that align with the JSR 311 specification maintained by the Java Community Process group.
The exact implementation of the above endpoint method is unimportant, so I’ll omit it for the sake of brevity. When called, it will simply make a GET request to the address specified at the end of the @Path
, which is stored in the url
parameter. The response from the resource associated with this url
will return some data in the response, and this data will then be returned to whichever client called our “proxy/” endpoint. Our client code may very well be running in a browser, in which case it may look something like this:
var resourceToProxy =
encodeURIComponent('http://widen.com/careers')
fetch('/proxy/' + resourceToProxy)
.then(function(response) {
if (response.ok) {
return response.text()
}
else {
var error = new Error(response.statusText)
error.response = response
throw error
}
})
.then(function(proxiedData) {
// handle proxied data in response
})
.catch(function(err) {
console.error(error)
})
The above client-side code utilizes the native Fetch API, but you could accomplish the same call with XMLHttpRequest
. In fact, the client doesn’t even need to be browser-based - it could very well live on a server, coded in any language under the sun.
The problem
After executing the above request, we would fully expect to receive a 2xx response from our server and then handle the proxied data via the success function of fetch’s returned promise. But instead, our error handler is invoked. Looking closer, we see that our server returned a response code of 404. But we’ve clearly defined our endpoint, and even verified that our request is being properly set to this endpoint. So what happened?
The cause
I left out one minor detail - our web server is Apache Tomcat, which is very common when Java is the primary server language. In version 6.0.10 (released around February of 2007), the Tomcat team patched a security hole. This involved treating encoded forward and backslashes in the URL as path delimiters. So, our URI of “/proxy/http%3A%2F%2Fwiden.com%2Fcareers” is being expanded to “/proxy/http%3A//widen.com/careers” before it is routed to a matching endpoint handler. Of course, this endpoint is not accounted for, and our server rejects the request as a result.
The solution
There are two ways to work around this behavior. The first involves adjusting a Java system property on our application server. Setting the org.apache.tomcat.util.buf.UDecoder.ALLOW_ENCODED_SLASH
system property to true
should allow our request to go through as expected. The default value of this property is false
. Another option involves switching our GET request to a POST and including the url to proxy in the message-body. This is arguably the safest option. If we take this route, our server endpoint will look like this:
@POST
@Path("proxy/url")
String getData(String url);
The body of our POST request will be made available to our handler method via the url
parameter. We will have to make a slight adjustment to our client-side code as well:
var resourceToProxy = 'http://widen.com/careers'
fetch('/proxy/url', {method: 'POST', body: resourceToProxy})
.then(function(response) {
if (response.ok) {
return response.text()
}
else {
var error = new Error(response.statusText)
error.response = response
throw error
}
})
.then(function(proxiedData) {
// handle proxied data in response
})
.catch(function(err) {
console.error(error)
})
Note that there is no need to encode the proxy endpoint address anymore, since it is no longer part of the request URI. The changes to our JavaScript are limited to the first two lines of code. This will result in A POST request to our “/proxy/url” endpoint with a Content-Type of “text/plain”. As expected, the body of our request will contain the resourceToProxy
value. After making these changes, everything works as intended, and we are able to successfully proxy a third-party endpoint through our server.


One of the best cardiovascular exercises for pregnant women, walking keeps you fit without jarring your knees and ankles. It's also easy to do almost anywhere, doesn't require any equipment beyond a good pair of supportive shoes, and is safe throughout all nine months of pregnancy.
Healthcare providers and fitness experts hail swimming as the best and safest exercise for pregnant women. Swimming is ideal because it exercises both large muscle groups (arms and legs), provides cardiovascular benefits, and allows expectant women to feel weightless despite the extra pounds of pregnancy.
Aerobic exercise strengthens your heart and tones your body.
You can get your heart pumping by dancing to your favorite tunes in the comfort of your own living room, with a DVD, or at a dance class, but steer clear of routines that call for leaps, jumps, or twirls.
If you are new to exercise, walking is a great way to start. Try to walk for a mile, or about 20 minutes, three times a week. If you didn’t exercise pre-pregnancy, you may want to take it easy. Try to walk for at least five minutes a day in that case, and add a few minutes as your feel stronger. You can continue to walk throughout your pregnancy, as long as your doctor gives you the OK.
After about the 16th week of pregnancy, you shouldn’t do anything that requires you to lie on your back, which takes crunches and other abdominal exercises off the table. You can still try them during the second month, though.  Place your forearms flat on the floor, and lean back. Lift your one leg into the air, as high as you can. Lower it carefully and repeat 10 times, and then switch legs.
Kegel exercises help keep your pelvic floor muscles strong, which eases labor and prevents incontinence. You can do Kegels whenever and where ever, and no one will know.  Hold for five seconds, and then release. Repeat 10 times, several times a day throughout your pregnancy.
Most yoga experts recommend waiting until your second trimester to start a prenatal yoga class, as you need to adjust to your pregnancy during the first three months. Take a class designed for pregnant women, or let your instructor know you are pregnant if it’s not a prenatal class. Avoid intense yoga classes, such as Bikram or heated yoga, during your pregnancy.
Swimming is a great exercise to try as you put on pregnancy weight and walking may become more like waddling. Swimming works your heart as well as your arm and leg muscles. Because you are floating in water, you feel weightless, which can be a welcome relief from the baby weight you’re carrying.
Tailor exercises such as the tailor sit and tailor press can reduce lower back pain and help strengthen your pelvic muscles.  Lean forward slightly, keeping your back straight. To do the tailor press, put your feet together as if you were doing the butterfly pose.
Pelvic tilts also help reduce lower back pain and strengthen your pelvic floor muscles. Stand with your back against a wall. Put your hands on your hips, and space your feet about 10 inches apart.  Hold for a few seconds, exhale and release.
Get ready to carry your baby by working your arms during the last two months of pregnancy. Sit on a chair with your knees bent and your feet flat on the floor.  Straighten your arms again. Repeat 10 times.
Sit in a chair with your feet flat on the floor and your knees bent. Hold a 3- or 5-lb. weight in each hand. Place your hands at each hip. Slowly bend your elbows, bringing your hands up to your armpits. Lower your hands, and repeat 10 times.


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#include <english_stem.h>
Public Member Functions | ||||
| void | operator() (string_typeT &text) | |||
| ||||
Private Member Functions | ||||
| void | step_1a (string_typeT &text) | |||
| void | step_1b (string_typeT &text) | |||
| void | step_1c (string_typeT &text) | |||
| void | step_2 (string_typeT &text) | |||
| void | step_3 (string_typeT &text) | |||
| void | step_4 (string_typeT &text) | |||
| void | step_5 (string_typeT &text) | |||
| bool | ends_with_short_syllable (string_typeT &text, const size_t length) const | |||
| bool | is_short_word (string_typeT &text, const size_t length) const | |||
| A word is called short if it ends in a short syllable, and if R1 is null. |
I have made more than one attempt to improve the structure of the Porter algorithm by making it follow the pattern of ending removal of the Romance language stemmers. It is not hard to see why one should want to do this: step 1b of the Porter stemmer removes ed and ing, which are i-suffixes (*) attached to verbs. If these suffixes are removed, there should be no need to remove d-suffixes which are not verbal, although it will try to do so. This seems to be a deficiency in the Porter stemmer, not shared by the Romance stemmers. Again, the divisions between steps 2, 3 and 4 seem rather arbitrary, and are not found in the Romance stemmers.
Nevertheless, these attempts at improvement have been abandoned. They seem to lead to a more complicated algorithm with no very obvious improvements. A reason for not taking note of the outcome of step 1b may be that English endings do not determine word categories quite as strongly as endings in the Romance languages. For example, condition and position in French have to be nouns, but in English they can be verbs as well as nouns,
We are all conditioned by advertising They are positioning themselves differently today
A possible reason for having separate steps 2, 3 and 4 is that d-suffix combinations in English are quite complex, a point which has been made elsewhere.
But it is hardly surprising that after twenty years of use of the Porter stemmer, certain improvements do suggest themselves, and a new algorithm for English is therefore offered here. (It could be called the 'Porter2' stemmer to distinguish it from the Porter stemmer, from which it derives.) The changes are not so very extensive: (1) terminating y is changed to i rather less often, (2) suffix us does not lose its s, (3) a few additional suffixes are included for removal, including (4) suffix ly. In addition, a small list of exceptional forms is included. In December 2001 there were two further adjustments: (5) Steps 5a and 5b of the old Porter stemmer were combined into a single step. This means that undoubling final ll is not done with removal of final e. (6) In Step 3 ative is removed only when in region R2.
To begin with, here is the basic algorithm without reference to the exceptional forms. An exact comparison with the Porter algorithm needs to be done quite carefully if done at all. Here we indicate by * points of departure, and by + additional features. In the sample vocabulary, Porter and Porter2 stem slightly under 5% of words to different forms.
Dr. Martin Porter
Define a vowel as one of -a e i o u y
Define a double as one of -bb dd ff gg mm nn pp rr tt
Define a valid li-ending as one of -c d e g h k m n r t
Define a short syllable in a word as either (a) a vowel followed by a non-vowel other than w, x or Y and preceded by a non-vowel, or * (b) a vowel at the beginning of the word followed by a non-vowel.
So rap, trap, entrap end with a short syllable, and ow, on, at are classed as short syllables. But uproot, bestow, disturb do not end with a short syllable.
A word is called short if it consists of a short syllable preceded by zero or more consonants. R1 is the region after the first non-vowel following a vowel, or the end of the word if there is no such non-vowel. R2 is the region after the first non-vowel following a vowel in R1, or the end of the word if there is no such non-vowel. If the word has two letters or less, leave it as it is. Otherwise, do each of the following operations, Set initial y, or y after a vowel, to Y, and then establish the regions R1 and R2.
| void stemming::english_stem< string_typeT >::step_1a | ( | string_typeT & | text | ) | [inline, private] |
Search for the longest among the following suffixes, and perform the action indicated.
-sses -replace by ss
-ied+ ies* -replace by i if preceded by just one letter, otherwise by ie (so ties -> tie, cries -> cri)
-s -delete if the preceding word part contains a vowel not immediately before the s (so gas and this retain the s, gaps and kiwis lose it)
-us+ ss -do nothing
| void stemming::english_stem< string_typeT >::step_1b | ( | string_typeT & | text | ) | [inline, private] |
Search for the longest among the following suffixes, and perform the action indicated.
-eed eedly+ -replace by ee if in R1
-ed edly+ ing ingly+ -delete if the preceding word part contains a vowel, and then -if the word ends at, bl or iz add e (so luxuriat -> luxuriate), or -if the word ends with a double remove the last letter (so hopp -> hop), or -if the word is short, add e (so hop -> hope)
| void stemming::english_stem< string_typeT >::step_1c | ( | string_typeT & | text | ) | [inline, private] |
replace suffix y or Y by i if preceeded by a non-vowel which is not the first letter of the word (so cry -> cri, by -> by, say -> say)
| void stemming::english_stem< string_typeT >::step_2 | ( | string_typeT & | text | ) | [inline, private] |
Search for the longest among the following suffixes, and, if found and in R1, perform the action indicated.
-tional: replace by tion -enci: replace by ence -anci: replace by ance -abli: replace by able -entli: replace by ent -izer ization: replace by ize -ational ation ator: replace by ate -alism aliti alli: replace by al -fulness: replace by ful -ousli ousness: replace by ous -iveness iviti: replace by ive -biliti bli+: replace by ble -ogi+: replace by og if preceded by l -fulli+: replace by ful -lessli+: replace by less -li+: delete if preceded by a valid li-ending
| void stemming::english_stem< string_typeT >::step_3 | ( | string_typeT & | text | ) | [inline, private] |
Search for the longest among the following suffixes, and, if found and in R1, perform the action indicated.
-tional+: replace by tion -ational+: replace by ate -alize: replace by al -icate iciti ical: replace by ic -ful ness: delete -ative*: delete if in R2
| void stemming::english_stem< string_typeT >::step_4 | ( | string_typeT & | text | ) | [inline, private] |
Search for the longest among the following suffixes, and, if found and in R2, perform the action indicated.
-al ance ence er ic able ible ant ement ment ent ism ate iti ous ive ize -delete -ion -delete if preceded by s or t
| void stemming::english_stem< string_typeT >::step_5 | ( | string_typeT & | text | ) | [inline, private] |
Search for the the following suffixes, and, if found, perform the action indicated.
-e -delete if in R2, or in R1 and not preceded by a short syllable -l -delete if in R2 and preceded by l
| bool stemming::english_stem< string_typeT >::ends_with_short_syllable | ( | string_typeT & | text, | |
| const size_t | length | |||
| ) | const [inline, private] |
Define a short syllable in a word as either (a) a vowel followed by a non-vowel other than w, x or Y and preceded by a non-vowel, or (b) a vowel at the beginning of the word followed by a non-vowel.
So rap, trap, entrap end with a short syllable, and ow, on, at are classed as short syllables. But uproot, bestow, disturb do not end with a short syllable.


METHYLONE, MEPHEDRONE AND CAFFIENE MIX
2:42pm: Iíve tried this mix maybe 5 or 6 times now, but have given it a break for a couple of weeks so hopefully my tolerance to these substances has reduced over this time. Measured out roughly 300mg of the bk-MDMA and 4MMC combined, tipped into a shot glass, mixed with cordial and downed the remedy until nothing visible remained. Letís hope for a good trip!
T+10: Starting to recognise the little signs that this stuff works; the growing warmth, the slight prickles and nuisances felt on the skin and mainly facial area. Nothing special yet as expected, but just a good indication of the things likely to come!
T+20: Motor skills improving allowing me to play guitar with ease; speed of thought increasing even if a little fuzzy round the temples, but still clear and concise where needed. May decide to gum another 50 mg or so just to speed up the process and add a few extra layers to the equation.
T+30: One dabble from the bag later and Iím still waiting to come up. Beginning to feel a touch heavy headed, but only a little. Gums taste nice and tangy and are starting to become numb from the recent dosage. Starting to experience a pressurised sensation round my head like a thin wall being built, a good sign that my mind will feel Ďwiredí in the not so distant future. Going to watch some TV and will report back in 20 minutes.
T+50: Much the same as before but with mildly elevated effects. Feeling heavier in the head and mind is sensing its detachment from the body, similar to that of speed or BZP when your body can feel immensely tired, but the mind feel ready to go. However, not quite on the same level yet. Iíve decided to add a can of cider to mix since I have not yet experiment these research chemicals with alcohol until now. Feel it necessary to do so within the comfort and safety of my own home before I attempt something on a much larger scale when partying out in town.
T+1 hr 20: Starting to wonder whether I have developed a tolerance to these two substances or possibly I need to separate them and alter my dosage. Not much has changed since the last update, but perhaps Iím being too impatient and need to let them settle into my system before jumping to conclusions.
T+1hr 30: Feeling ALOT better now. This may be due to arrival of some friends and my mood has lifted and possibly this has affected the reception of the drugs into my system. Fingers want to type and fidget as my mind is unable to deliver the words onto my keyboard. I may sound like Iím rambling and I probably am, but this is a signal that Iím finally starting to come up, be it somewhat to a lesser extent than previously experienced.
T+1hr 40: Alive and kicking, this drug is active and making me talk, fidget and want to do more and more. Off out for a while to pick up supplies and will be back later to report on the later stages of my trip. Hopefully I will report a positive and expected experience, but gummed an extra 50mg just in case. This stuff makes me do this because I am enjoying the gradually increasing feeling and only want to make sure I experience the most out of it, hence very moorish!
T+ Many Hours Later: I hit my peak between the 2 and 3 hour period, experiencing extreme restlessness, heightened alertness and a permanent smile on my face. Chewing gum was needed to help with my gurning jaw that was chattering away and I was relieved that I could achieve the state of euphoria and mental wellbeing I was hoping for. At about 3 and half hours I started smoking cannabis to regulate and build on my condition, which in my opinion (and that of all my friends) can only do better for the trip.
The pot calms down all the negative effects of the bk-MDMA and 4MMC mix such as uncontrollable jittering, fidgeting and shaking, whilst also composes my mind to a state where speech isnít just incomprehensible gibberish. Getting stoned is also an amazing experience since the mix keeps me wired and stops me monging out. It almost seemed as if me shaking my legs kept me buzzed and when I stopped, I felt a lot more relaxed but still awake and well. Come 2am, and 12 or so joints of AK47 and Northern Lights later, I couldnít help noticing my body was knackered, stoned and ready to mong, but my mind was still capable of a Guitar Hero sesh!
After considerable reflection and with zero to no come down, minus the fuzzy head I know to be caused by all the weed (get this from daily pot smoking), I really enjoyed both drugs, but have decided I am definitely more partial to Methylone. Having tried both separately, Methylone feels more euphoric compared to Mephedroneís speed-like high. Feeling self-conscious about my heart and circulatory system, the increased heart rate and strong chest buzz that it provides means Iím less likely to take it as often, siding me more towards the MDMA-like Methylone.
In conclusion, id give Methylone 8/10 and Mephedrone 7/10, but for the price I pay for these chemicals over the internet, they are definitely worth trying before they are outlawed.
Man, my jaw aches!
Experience Reports are the writings and opinions of the individual authors who submit them.
Some of the activities described are dangerous and/or illegal and none are recommended by Erowid.


This Neopaltian-style pizza has thin crust, fresh tomato sauce, fresh mozzarella cheese, and just a few leaves of basil.
It holds the most toppings on a single pie: pepperoni, sausage, meatballs, and mushrooms all come together in this super-savory pizza.
The salty and slightly spicy taste holds its own against waves of melty, gooey cheese and gets ever-so-slightly crisped in the hot oven.


Class: Simple::Metrics::Check
- Inherits:
-
Java::ComYammerMetricsCore::HealthCheck
- Object
- Java::ComYammerMetricsCore::HealthCheck
- Simple::Metrics::Check
- Defined in:
- lib/simple/metrics/healthcheck.rb
Instance Method Summary (collapse)
-
- (Object) check
Call the block and capture the return value.
-
- (Check) initialize(name, &blk)
constructor
A new instance of Check.
Constructor Details
- (Check) initialize(name, &blk)
A new instance of Check
38 39 40 41 |
# File 'lib/simple/metrics/healthcheck.rb', line 38 def initialize(name, &blk) super(name) @blk = blk end |
Instance Method Details
- (Object) check
Call the block and capture the return value. If the result is `Simple::Metrics::HEALTHY`, mark the healthcheck as healthy. If the result is a `Simple::Metrics::WARNING`, mark the healthcheck in the warning state. If the result is a `Simple::Metrics::UNHEALTHY`, or throws an error, mark the healthcheck as unhealthy.
48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 |
# File 'lib/simple/metrics/healthcheck.rb', line 48 def check begin r = @blk.call case (r.is_a?(Class) ? r.new : r) when Simple::Metrics::HEALTHY Java::ComYammerMetricsCore::HealthCheck::Result.healthy when Simple::Metrics::WARNING Java::ComYammerMetricsCore::HealthCheck::Result.warning when Simple::Metrics::UNHEALTHY Java::ComYammerMetricsCore::HealthCheck::Result.unhealthy(r.) end rescue StandardError => e Java::ComYammerMetricsCore::HealthCheck::Result.unhealthy(e.) end end |


Williams, Robert Morris visit Cleveland St.
by EndPlayCLEVELAND - Robert Morris (2-6) vs. Cleveland State (3-4)
Wolstein Center, Cleveland; Saturday, 6 p.m. EST
BOTTOM LINE: Two guards will be on display as Josh Williams and Robert Morris will face Tre Gomillion and Cleveland State. The senior Williams is averaging 10.6 points over the last five games. Gomillion, a sophomore, is averaging 10.4 points over the last five games.
SUPER SENIORS: Robert Morris' Williams, AJ Bramah and Yannis Mendy have collectively accounted for 45 percent of the team's scoring this season and have scored 44 percent of all Colonials points over the last five games.JUMPING FOR JOSH: Williams has connected on 34.2 percent of the 73 3-pointers he's attempted and has gone 8 for 25 over the last three games. He's also converted 50 percent of his foul shots this season.
SLIPPING AT 66: Robert Morris is 0-6 when it allows at least 66 points and 2-0 when it holds opponents to less than 66.
STREAK STATS: Robert Morris has lost its last five road games, scoring 59.4 points, while allowing 73.4 per game.
DID YOU KNOW: Robert Morris has committed a turnover on just 19.2 percent of its possessions this season, which is the second-best percentage among all NEC teams. The Colonials have turned the ball over only 13.3 times per game this season.
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For more AP college basketball coverage: https://apnews.com/Collegebasketball and http://twitter.com/AP_Top25
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This was generated by Automated Insights, http://www.automatedinsights.com/ap, using data from STATS LLC, https://www.stats.com


E-Mission: Data driven carbon emission reduction
E-Mission is designed to:
- automatically calculate your transportation carbon footprint and
compare it against California targets,
- give you suggestions on how to change your travel patterns to reduce your
footprint (coming soon),
- provide aggregate data on travel patterns so that cities can improve their
land use and transportation planning.


Before Change
if self.normalize_state:
state = policy_util.update_online_stats_and_normalize_state(body, state)
states.append(state)
xs = [torch.from_numpy(state).float() for state in states]
pdparam = self.calc_pdparam(xs)
// use multi-policy. note arg change
action_a = self.action_policy(states, self, self.agent.nanflat_body_a, pdparam)
After Change
if self.normalize_state:
state = policy_util.update_online_stats_and_normalize_state(body, state)
states.append(state)
xs = [torch.from_numpy(state.astype(np.float32)) for state in states]
pdparam = self.calc_pdparam(xs)
// use multi-policy. note arg change
action_a = self.action_policy(states, self, self.agent.nanflat_body_a, pdparam)


Government response
Tim Loughton writes to 'The Guardian' on 9 August 2012 in response to an article about the sale of school playing fields.
Dear Sir
Your article on Monday regarding the sale of school sports fields omitted key facts.
Out of the 21 playing fields which you report have been sold since May 2010, 14 belonged to schools that had closed and 4 were sites that became surplus from school mergers. Of the other 3, one was surplus land to existing playing fields that was turned into sports facilities (with proceeds invested in the school sports changing facilities); one was leased to a company to turn an under-used playing field with poor drainage into all-weather playing surfaces, a full-sized football and hockey pitch and a 6-court indoor tennis facility; and a further sports field was due to be leased to an athletics club to improve sporting provision for the club and the school.
We are absolutely clear that we will only agree to the sale of school playing fields if the sports and curriculum needs of schools and their neighbouring schools can continue to be met. Sale proceeds must be used to improve sports or education facilities and any new sports facilities must be sustainable for at least 10 years. All sites disposed of under this government have either been because the school has closed, the sites became surplus from schools merging or the proceeds were needed to modernise sports provision. It was disingenuous to suggest otherwise.
This contrasts with the previous government which sold off 212 playing fields between 1999 and 2009.
We want competitive sport to be at the centre of a truly rounded education that all schools offer. This is why we are implementing plans for a new PE curriculum to provide stronger structures.
Yours faithfully
Tim Loughton MP Parliamentary Under Secretary of State for Children and Families
Published: 9 August 2012
From: Department for Education Tim Loughton
Part of: School building and maintenance


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Objects I Can Detect:
- person
- car
- bicycle
- motorbike
- aeroplane
- baseball glove
- skateboard
- orange
- broccoli
- carrot
- hot dog
- bus
- train
- boat
- traffic-light
- firehydrant
- surfboard
- tennis-racket
- pizza
- donut
- cake
- chair
- stopsign
- parkingmeter
- bench
- bird
- cat
- bottle
- wineglass
- sofa
- pottedplant
- diningtable
- bed
- dog
- horse
- sheep
- cow
- elephant
- cup
- fork
- toilet
- tvmonitor
- laptop
- mouse
- bear
- zebra
- giraffe
- backpack
- umbrella
- knife
- spoon
- remote
- keyboard
- cellphone
- microwave
- toothbrush
- handbag
- tie
- suitcase
- frisbee
- skis
- bowl
- banana
- oven
- toaster
- sink
- refrigerator
- hair-drier
- snowboard
- sports-ball
- kite
- backpack
- baseball-bat
- apple
- sandwich
- book
- clock
- vase
- scissors
- teddy-bear


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Saint Kristina:
I overheard the Dark Elf who kidnapped me say that the goddess is waking up, although I do not know what that means.
But I know one thing for sure, it was my destiny to be kidnapped and brought here...
I will stay here. The time has not yet come for my return to the shrine. It is now my duty to spread the word of light in this forest of darkness. The Dark Elves deserve to know the truth of Einhasad. To survive the Chaotic Chronicle we must all join together.
Please take this letter to Master Sorius.


{% for product in object_list %}
{% if col_class_set_xs %}
{% include "products/product_thumbnail.html" with product=product price="True" style=style %}
{% else %}
{% include "products/product_thumbnail.html" with product=product price="True" %}
{% endif %}
{% if col_class_set is None %}
{% cycle '' '' '


Overview
The main task of the Glidein Factory (or WMS Factory) is to advertise itself, listen for requests from Frontend clients and submit glideins. Look at the picture below for a schematic view.
A single glidein Factory can handle multiple kinds of glideins, also
called glidein entry points (as they usually point to
different Grid resources). For each entry point, it will advertise a
different class-ad.
Similarly, each request from a Frontend
client will affect a single entry point; a Frontend will need to
advertise several requests in order to have glideins submitted to all
the desirable resources.
The Glidein Factory philosophy
The main idea behind a Glidein Factory is to make the life of a Frontend as easy as possible. And to do that, the Factory needs to abstract as much as possible.
For starters, the Factory itself is the one that knows the details of various Grid sites and properly configures the glidein entry points, so they will run without any additional knowledge. A Frontend only needs to know that an entry point exists, and the parameters it takes.
Additionally, the Factory also does the submissions themselves. The Frontend just publishes that it needs some glideins and the Factory will start submitting them. The only handle the Frontend may want to use is the ability to regulate the rate of glideins that are sent to the Grid site. In the current implementation, this can be achieved by setting the desired number of idle glideins to be kept in the Grid queue.
The typical scenario features a Frontend with several (hundreds or even thousands of) user jobs in the queue that is looking for resources to run them. It will fetch the Factory classads, select the ones that satisfy its needs, and advertise class-ads with requests for those glideins. If the Frontend ever runs out of user jobs, it will advertise the fact that it does not need those glideins anymore. In practical terms, this means asking the Factory to keep exactly 0 idle glideins in the queue.
Factory Management At a Glance
Here are some common tasks you may need to do as a Factory admin (with links to more information):
- Creating a new configuration directory: glideinWMS/creation/create_glidein
- Starting and Stopping the Factory: <glidein directory>/factory_startup start|stop|restart|status
- Configuration can be found in either factory.xml or glideinWMS.xml in your Factory's instance directory (depending on your installation method).
- After modifying the xml, be sure to reconfig your Factory: <glidein directory>/factory_startup reconfig config_copy_fname
- Add a downtime with: <glidein directory>/factory_startup up|down -entry 'factory'|<entry name> [-delay <delay>]
- Monitoring the Factory
If you installed the RPM distribution, files and commands differ a bit, see the Factory OSG RPM guide.