Effective date: August 22, 2019
HighWay ("us", "we", or "our") operates the http://highway.com website (hereinafter referred to as the "Service").
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Managing
Kafka Topics
@jaceklaskowski
/
StackOverflow
/
GitHub
/
LinkedIn
The "Internals" Books:
books.japila.pl
## Agenda 1. [Topic](#/topic) 1. [Replica](#/replica) 1. [In-Sync Replica](#/in-sync-replica) 1. [kafka-topics Shell Script](#/kafka-topics-shell-script)
## Topic * A namespace of **partitions** * Identified by a **name** * Available on all brokers in a Kafka cluster
## Replica * **Replica** is a copy of a partition * Number of replicas (of a topic) is **replication factor** * Exactly one replica is the **leader** while others are **followers**
## In-Sync Replica * **In-Sync Replica** is a replica that has enough records to be considered in partition leader election * Number of records is close to the number of records in the partition on the leader
## kafka-topics Shell Script * **kafka-topics** shell script allows you to manage topics * **--create** - creates a new topic * **--delete** - deletes a topic * **--describe** - shows the details of a topic * **--alter** - changes a topic * **--list** - lists all topics
## Recap 1. [Topic](#/topic) 1. [Replica](#/replica) 1. [In-Sync Replica](#/in-sync-replica) 1. [kafka-topics Shell Script](#/kafka-topics-shell-script)
# Questions? * Read [The Internals of Apache Kafka](https://books.japila.pl/kafka-internals/) * Read [The Internals of Kafka Streams](https://books.japila.pl/kafka-streams-internals) * Read [The Internals of ksqlDB](https://books.japila.pl/ksqldb-internals/) * Follow [@jaceklaskowski](https://twitter.com/jaceklaskowski) on twitter (DMs open) * Upvote [my questions and answers on StackOverflow](http://stackoverflow.com/users/1305344/jacek-laskowski) * Contact me at **jacek@japila.pl**


AWS::IoT::SecurityProfile
Use the AWS::IoT::SecurityProfile
resource to create a Device Defender
security profile. For API reference, see CreateSecurityProfile and for general information, see Detect.
Syntax
To declare this entity in your AWS CloudFormation template, use the following syntax:
JSON
{ "Type" : "AWS::IoT::SecurityProfile", "Properties" : { "AdditionalMetricsToRetainV2" :
[ MetricToRetain, ... ]
, "AlertTargets" :{
, "Behaviors" :Key
:Value
, ...}[ Behavior, ... ]
, "SecurityProfileDescription" :String
, "SecurityProfileName" :String
, "Tags" :[ Tag, ... ]
, "TargetArns" :[ String, ... ]
} }
YAML
Type: AWS::IoT::SecurityProfile Properties: AdditionalMetricsToRetainV2:
- MetricToRetain
AlertTargets:Behaviors:
Key
:Value
- Behavior
SecurityProfileDescription:String
SecurityProfileName:String
Tags:- Tag
TargetArns:- String
Properties
AdditionalMetricsToRetainV2
-
A list of metrics whose data is retained (stored). By default, data is retained for any metric used in the profile's
behaviors
, but it's also retained for any metric specified here. Can be used with custom metrics; can't be used with dimensions.Required: No
Type: List of MetricToRetain
Update requires: No interruption
AlertTargets
-
Specifies the destinations to which alerts are sent. (Alerts are always sent to the console.) Alerts are generated when a device (thing) violates a behavior.
Required: No
Type: Map of AlertTarget
Update requires: No interruption
Behaviors
-
Specifies the behaviors that, when violated by a device (thing), cause an alert.
Required: No
Type: List of Behavior
Update requires: No interruption
SecurityProfileDescription
-
A description of the security profile.
Required: No
Type: String
Update requires: No interruption
SecurityProfileName
-
The name you gave to the security profile.
Required: No
Type: String
Update requires: Replacement
Tags
-
Metadata that can be used to manage the security profile.
Required: No
Type: List of Tag
Update requires: No interruption
TargetArns
-
The ARN of the target (thing group) to which the security profile is attached.
Required: No
Type: List of String
Update requires: No interruption
Return values
Ref
When you pass the logical ID of this resource to the intrinsic Ref
function, Ref
returns the security profile name.
Fn::GetAtt
The Fn::GetAtt
intrinsic function returns a value for a specified attribute of this type. The following are the available attributes and sample return values.
For more information about using the Fn::GetAtt
intrinsic function, see Fn::GetAtt.
Examples
JSON
{ "AWSTemplateFormatVersion": "2010-09-09", "Description": "Amazon Web Services IoT SecurityProfile Sample Template", "Resources": { "MySecurityProfile": { "Type": "AWS::IoT::SecurityProfile", "Properties": { "AdditionalMetricsToRetainV2": [ { "Metric": "aws:num-messages-received" }, { "Metric": "aws:num-disconnects" } ], "AlertTargets": { "SNS": { "AlertTargetArn": "arn:aws:sns:us-east-1:123456789012:DeviceDefenderDetectAlerts", "RoleArn": "arn:aws:iam::123456789012:role/RoleForDefenderAlerts" } }, "Behaviors": [ { "Name": "MaxMessageSize", "Metric": "aws:message-byte-size", "Criteria": { "ConsecutiveDatapointsToAlarm": 1, "ConsecutiveDatapointsToClear": 1, "ComparisonOperator": "less-than-equals", "Value": { "Count": 5 } } }, { "Name": "OutboundMessageCount", "Metric": "aws:num-messages-sent", "Criteria": { "DurationSeconds": 300, "ComparisonOperator": "less-than-equals", "Value": { "Count": 50 } } }, { "Name": "AuthFailuresStatThreshold", "Metric": "aws:num-authorization-failures", "Criteria": { "ComparisonOperator": "less-than-equals", "DurationSeconds": 300, "StatisticalThreshold": { "Statistic": "p90" } } } ], "SecurityProfileDescription": "Contains expected behaviors for connected devices", "SecurityProfileName": "ProfileForConnectedDevices", "Tags": [ { "Key": "Application", "Value": "SmartHome" } ], "TargetArns": [ "arn:aws:iot:us-east-1:123456789012:all/things" ] } } } }
YAML
AWSTemplateFormatVersion: 2010-09-09 Description: Amazon Web Services IoT SecurityProfile Sample Template Resources: MySecurityProfile: Type: 'AWS::IoT::SecurityProfile' Properties: AdditionalMetricsToRetainV2: - Metric: 'aws:num-messages-received' - Metric: 'aws:num-disconnects' AlertTargets: SNS: AlertTargetArn: 'arn:aws:sns:us-east-1:123456789012:DeviceDefenderDetectAlerts' RoleArn: 'arn:aws:iam::123456789012:role/RoleForDefenderAlerts' Behaviors: - Name: MaxMessageSize Metric: 'aws:message-byte-size' Criteria: ConsecutiveDatapointsToAlarm: 1 ConsecutiveDatapointsToClear: 1 ComparisonOperator: less-than-equals Value: Count: 5 - Name: OutboundMessageCount Metric: 'aws:num-messages-sent' Criteria: DurationSeconds: 300 ComparisonOperator: less-than-equals Value: Count: 50 - Name: AuthFailuresStatThreshold Metric: 'aws:num-authorization-failures' Criteria: ComparisonOperator: less-than-equals DurationSeconds: 300 StatisticalThreshold: Statistic: p90 SecurityProfileDescription: Contains expected behaviors for connected devices SecurityProfileName: ProfileForConnectedDevices Tags: - Key: Application Value: SmartHome TargetArns: - 'arn:aws:iot:us-east-1:123456789012:all/things'


Welcome to Imperial Fourier Visualisation: Combination Part.
This is the title and name of the Fourier Series.
You can select the function you want to visualize from here.
Here, the Fourier Series plot will be displayed. The upper one plots the Fourier Series Function. The bottom plots the each of its Component. By having two graphs together, you can see how each components add up and contribute to the Fourier Series Function.
This is the Amplitude Slider that allows you to change the Amplitude.
This is the Number Slider that allows you to change the Number of Terms. When N=0, it displays a_0; when N=1, it displays a_1 and b_1
This is the Period Slider that allows you to change the Period.
Try play with it.


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黒の手番です。55 はどう動かしますか？
Unlimited
pips Black=162 White=149
(CorrectAnswer= 0/0, ErrorScore= 0)
1. Bar/5* eq:+0.079 58.18% (G:16.23% B:0.49%) 41.82% (G: 9.08% B:0.31%) 2. Bar/20 8/3(2) 7/2* eq:-0.012 (-0.091) 53.65% (G:17.00% B:0.44%) 46.35% (G: 8.40% B:0.27%) 3. Bar/15 20/15(2) eq:-0.073 (-0.151) 54.40% (G:11.25% B:0.42%) 45.60% (G:11.33% B:0.33%) 4. Bar/15 9/4 7/2* eq:-0.077 (-0.156) 52.29% (G:13.11% B:0.43%) 47.71% (G: 8.66% B:0.31%) 5. Bar/20 13/8 9/4 7/2* eq:-0.077 (-0.156) 51.93% (G:12.85% B:0.37%) 48.07% (G: 7.64% B:0.23%)


| Coursed | Category | Fees | Faculty | Status | |
|---|---|---|---|---|---|
|
It Networking
Pharetra, Nulla
|
Programming | $45k | Sophia Pharetra | Approved | |
|
Medical
Pharetra, Nulla
|
Programming | $45k | Sophia Pharetra | Expired | |
|
General
Pharetra, Nulla
|
Programming | $45k | Sophia Pharetra | Featured | |
|
IT & Software
Pharetra, Nulla
|
Programming | $45k | Sophia Pharetra | Expired | |
|
Programming Language
Pharetra, Nulla
|
Programming | $45k | Sophia Pharetra | Featured | |
|
Technology
Pharetra, Nulla
|
Programming | $45k | Sophia Pharetra | Active | |
|
Programming
Pharetra, Nulla
|
Programming | $45k | Sophia Pharetra | Approved | |
|
Business
Pharetra, Nulla
|
Programming | $45k | Sophia Pharetra | Active | |
|
Ui Design
Pharetra, Nulla
|
Programming | $45k | Sophia Pharetra | Approved | |
|
Graphic design
Pharetra, Nulla
|
Programming | $45k | Sophia Pharetra | Approved |
Start Date 4th Nov..
|
Johen doe
This is a wider card with supporting text below as a natural lead-in to additional content. This content is a little bit longer.
Start Date 4th Nov..
|
Johen doe
This is a wider card with supporting text below as a natural lead-in to additional content. This content is a little bit longer.
Start Date 4th Nov..
|
Johen doe
This is a wider card with supporting text below as a natural lead-in to additional content. This content is a little bit longer.
Start Date 4th Nov..
|
Johen doe
This is a wider card with supporting text below as a natural lead-in to additional content. This content is a little bit longer.
Start Date 4th Nov..
|
Johen doe
This is a wider card with supporting text below as a natural lead-in to additional content. This content is a little bit longer.
Start Date 4th Nov..
|
Johen doe
This is a wider card with supporting text below as a natural lead-in to additional content. This content is a little bit longer.
Contrary to popular belief, Lorem Ipsum is not simply random text.  Richard McClintock.
It is a long established fact that a reader will be distracted by the readable content of a page when looking at its layout.


About Me
Experienced Project Manager with a demonstrated history of working in the life sciences, medical device, and nonprofit industries. Strong critical thinker with a Bachelor of Science (B.S.) focused in Marine Biology from UCSD with two minors in Business and Environmental Studies. Currently enrolled in UCSD's Full Stack Web Development Bootcamp. Skilled in data analysis, coordination of complex projects, process improvement in highly regulated industries, and development of E-commerce websites.


About me
I’m an assistant professor in Tokyo Institute of Technology. I have proposed several methods with computational, algorithmical, and physicochemical consideration.
Recent news
2023 January-June
- 2023/06 Three oral presentations will be given at IPSJ SIG Bioinformatics and Genomics (SIGBIO).
- Jianan Li, Keisuke Yanagisawa, Masatake Sugita, Takuya Fujie, Masahito Ohue, Yutaka Akiyama. “CycPeptMPDB：包括的な環状ペプチド膜透過率データベースの開発”, IPSJ SIG Technical Report, 2022-BIO-74(38): 1-8, 2023/07/01.
- Tomoya Saito, Keisuke Yanagisawa, Yutaka Akiyama. “フラグメント対の相対位置から検索可能な化合物立体配座データベースの構築”, IPSJ SIG Technical Report, 2022-BIO-74(37): 1-8, 2023/07/01.
- Ginga Watanabe, Keisuke Yanagisawa, Yutaka Akiyama. “標的RNAの高次構造予測に基づく低活性ASO候補配列の推測”, IPSJ SIG Technical Report, 2022-BIO-74(36): 1-8, 2023/07/01.
- 2023/03 A paper has been published.
- Jianan Li, Keisuke Yanagisawa, Masatake Sugita, Takuya Fujie, Masahito Ohue, Yutaka Akiyama. “CycPeptMPDB: A Comprehensive Database of Membrane Permeability of Cyclic Peptides”, Journal of Chemical Information and Modeling, Journal of Chemical Information and Modeling, 63: 2240-2250, 2023/03. DOI: 10.1021/acs.jcim.2c01573
- 2023/02 I got a JSPS KAKENHI (grant-in-aid for Scientific Research (B)) with two researchers.
- “Designing cyclic peptide with target protein selection based on mixed-solvent molecular dynamics simulation”, JSPS KAKENHI (Grant-in-Aid for Scientific Research (B)) 23H03495, PI, 18 590 000 yen, 2023/04-2027/03.
2022 July-December
- 2022/10 two oral presentations and a poster presentation had been given at Chem-Bio Informatics Society(CBI) Annual Meeting 2022.
- Keisuke Yanagisawa, Rikuto Kubota, Yasushi Yoshikawa, Masahito Ohue, Yutaka Akiyama. “REstretto: An efficient protein-ligand docking tool based on a fragment reuse strategy”, Chem-Bio Informatics Society(CBI) Annual Meeting 2022, O2-1, 2022/10/25.
- Masatake Sugita, Takuya Fujie, Keisuke Yanagisawa, Masahito Ohue, Yutaka Akiyama. “Lipid composition is critical for accurate membrane permeability prediction of cyclic peptides by molecular dynamics simulations”, Chem-Bio Informatics Society(CBI) Annual Meeting 2022, O3-2, 2022/10/25.
- Genki Kudo, Keisuke Yanagisawa, Ryunosuke Yoshino, Takatsugu Hirokawa. “Amino Acid Preference Mapping on Protein-Protein Interaction Surface using Mixed-Solvent Molecular Dynamics”, Chem-Bio Informatics Society(CBI) Annual Meeting 2022, P02-04, 2022/10/25-27.
- 2022/09 A poster presentation will be given at the 60th Annual Meeting of the Biophysical Society of Japan.
- Keisuke Yanagisawa, Ryunosuke Yoshino, Genki Kudo, Takatsugu Hirokawa. “Inverse Mixed-Solvent Molecular Dynamics for Visualization of Amino Acid Residue Interaction Profile of Molecular Probes”, The 60th Annual Meeting of The Biophysical Society of Japan, 1Pos031, 2022/09/28.
- 2022/09 A paper has been published.
- Masatake Sugita, Takuya Fujie, Keisuke Yanagisawa, Masahito Ohue, Yutaka Akiyama. “Lipid composition is critical for accurate membrane permeability prediction of cyclic peptides by molecular dynamics simulations”, Journal of Chemical Information and Modeling, 62: 4549-4560, 2022/09. DOI: 10.1021/acs.jcim.2c00931
- 2022/08 A paper has been published.
- Keisuke Yanagisawa, Rikuto Kubota, Yasushi Yoshikawa, Masahito Ohue, Yutaka Akiyama. “Effective protein-ligand docking strategy via fragment reuse and a proof-of-concept implementation”, ACS Omega, 7: 30265-30274, 2022/08. DOI: 10.1021/acsomega.2c03470
2022 January-June
- 2022/06 An oral presentation will be given at IPSJ SIG Bioinformatics and Genomics (SIGBIO).
- Yudai Noso, Masatake Sugita, Takuya Fujie, Keisuke Yanagisawa, Masahito Ohue, Yutaka Akiyama. “分子動力学シミュレーション軌跡データからの環状ペプチドの膜透過性と相関が高い特徴量の抽出”, IPSJ SIG Technical Report, 2022-BIO-70(51): 1-8, 2022/06/29.
- 2022/06 An oral presentation will be given at the 22nd Annual Meeting of the Protein Science Society of Japan (PSSJ2022).
- Keisuke Yanagisawa, Ryunosuke Yoshino, Genki Kudo, Takatsugu Hirokawa. “Inverse Mixed-Solvent Molecular Dynamics for Visualization of Residue Interaction Profile of Molecular Probes”, The 22nd Annual Meeting of the Protein Science Society of Japan, O7-12, 2022/06/07.
- 2022/06 I got a grant for young researcher.
- “Recognition of protein surface where suitable for ligand binding with Inverse-MSMD simulations”, Grant for young researcher, School of Computing, Tokyo Institute of Technology, PI, 500 000 yen, 2022/06-2023/03.
- 2022/04 A paper has been published.
- Keisuke Yanagisawa, Ryunosuke Yoshino, Genki Kudo, Takatsugu Hirokawa. “Inverse Mixed-Solvent Molecular Dynamics for Visualization of the Residue Interaction Profile of Molecular Probes”, International Journal of Molecular Sciences, 23: 4749, 2022/04. DOI: 10.3390/ijms23094749
- 2022/03 Four oral presentation will be given at IPSJ SIG Bioinformatics and Genomics (SIGBIO).
- Yuki Tsushima, Keisuke Yanagisawa, Masahito Ohue, Yutaka Akiyama. “新たなデータセットによる長距離フラグメントリンキング手法の再評価”, IPSJ SIG Technical Report, 2021-BIO-69(16): 1-8, 2022/03/11.
- Masaya Inagaki, Keisuke Yanagisawa, Masahito Ohue, Yutaka Akiyama. “Database of Drug Candidates Represented by 3D Positional Relationships between Fragments”, IPSJ SIG Technical Report, 2021-BIO-69(15): 1-8, 2022/03/11.
- Mahiro Yamazaki, Kazuki Izawa, Ryo Hirata, Keisuke Yanagisawa, Masahito Ohue, Yutaka Akiyama. “Development of a Genome-wide Fast Short Nucleotide Sequence Search Method Considering Binding Energy”, IPSJ SIG Technical Report, 2021-BIO-69(8): 1-8, 2022/03/10.
- Shu Tamano, Kazuki Izawa, Keisuke Yanagisawa, Masahito Ohue, Yutaka Akiyama. “Proposal of Evaluation Off-target Effects Method in Gapmer ASO”, IPSJ SIG Technical Report, 2021-BIO-69(7): 1-7, 2022/03/10.
- 2022/02 A paper has been published.
- Kazuki Takabatake, Keisuke Yanagisawa, Yutaka Akiyama. “Solving Generalized Polyomino Puzzles Using the Ising Model”, Entropy, 24: 354, 2022/02. DOI: 10.3390/e24030354
News archive
Tools
EXPRORER (2021)
Rational cosolvent set construction with cosolvent MD simulation results
https://github.com/keisuke-yanagisawa/exprorer
Spresso (2017)
An ultrafast pre-screening method based on compound decomposition


 Be it client reasons or company policies. Even though Laravel is structured in a very specific way we'll go over some steps to see how we can get Laravel working on a shared hosting environment with minimal requirements.
I'd like to begin by saying that while most solutions below might suit your needs, the ultimate solution is always just to move to a webhost which suits your needs to host a PHP framework like Laravel. Fortrabbit is one such solution but definitely not the only one around.
Remember that the absolute minimum requirements always include the need for the MCrypt PHP Extension.
We'll use the following folder structure as a base for this tutorial, with the www
folder as our DocumentRoot. Your own folder structure on your own shared hosting may differ from the one below.
config/
logs/
www/
Thanks to the following sources and people:
- Laravel 4 - Easily Extended by Rob Clancy
- Laravel 4 in Shared Hosting by Mior Muhammad Zaki
- Understanding the Laravel PUBLIC folder by Shawn McCool
No DocumentRoot Access
The DocumentRoot is the folder to where your domain points to on your hosting. Laravel requires you to map your domain to the public folder so your application core stays out of access from the outside. But what if you couldn't map your domain to Laravel's public folder? Most shared hosting don't offer this option. There are a couple of ways to solve this, one better than the other.
1. Rename the public folder
One thing you could do, if your hosting allowed it is to upload the application to the webroot or a specific folder on your hosting and rename your public folder to the folder's name to which your shared hosting's DocumentRoot points to. Let's apply this to the folder structure for this tutorial.
First we'll create a folder called laravel
on our shared hosting and we'll upload our application structure to this folder.
config/
laravel/
app/
bootstrap/
vendor/
...
logs/
www/
After that we'll upload our public folder's content into the www
folder.
config/
laravel/
app/
bootstrap/
vendor/
...
logs/
www/
packages/
.htaccess
index.php
...
Now that we've relocated the public folder we should adjust the path structure in the bootstrap/paths.php
file.
# Change this...
'public' => __DIR__.'/../public',
# ... into this.
'public' => __DIR__.'/../../www',
We should also change the paths in the www/index.php
file to locate the new laravel
folder.
# These two lines should be changed...
require __DIR__.'/../bootstrap/autoload.php';
$app = require_once __DIR__.'/../bootstrap/start.php';
# ... into these two lines.
require __DIR__.'/../laravel/bootstrap/autoload.php';
$app = require_once __DIR__.'/../laravel/bootstrap/start.php';
We've now correctly relocated our public folder and our Laravel application should work like a charm. You could also have uploaded the Laravel core into the base /
directory but moving it in a separate folder keeps your folder structure clean.
Another way could have been to symlink your public folder to the www
folder but there's a small chance that you have access to this ability on a shared hosting.
2. Using .htaccess with mod_rewrite
Before we begin I'd like to mention that the following is highly discouraged. By moving everything into your DocumentRoot you expose your application to the outside which leaves you vulnerable to malicious attacks against your website. At this point you should seriously consider to switching to a different webhost which is more suited to host PHP frameworks like Laravel.
That being said, I know first hand that sometimes you're stuck on a webhost because of client reasons, etc. In contrast to the previous method, we're going to upload the entire framework into the DocumentRoot folder. Again we're using the folder structure for this tutorial. We're going to use .htaccess to our benefit to redirect all th requests to the public folder.
First, let's move the entire application into the www
folder (the DocumentRoot).
config/
logs/
www/
app/
bootstrap/
public/
packages/
.htaccess
index.php
...
vendor/
...
Now inside your www
folder, place the following .htaccess
file.
<IfModule mod_rewrite.c>
RewriteEngine on
RewriteCond %{REQUEST_URI} !^public
RewriteRule ^(.*)$ public/$1 [L]
</IfModule>
This should redirect all the requests to your public folder. Requests to your public folder to, for example, asset files will still be accepted.
3. Move everything into the DocumentRoot
Just like the previous method we're moving the entire application into the DocumentRoot folder. But this time we're going to move the public folder's contents into the DocumentRoot as well.
First, let's move the entire application into the www
folder (the DocumentRoot).
config/
logs/
www/
app/
bootstrap/
public/
packages/
.htaccess
index.php
...
vendor/
...
Now move the contents of the public folder into the document root as well and remove the public folder.
config/
logs/
www/
app/
bootstrap/
packages/
vendor/
.htaccess
index.php
...
We'll have to adjust the public folder path in the bootstrap/paths.php
file.
# Change this...
'public' => __DIR__.'/../public',
# ... into this.
'public' => __DIR__.'/..',
And lastly we should also change the paths in the index.php
file.
# These two lines should be changed...
require __DIR__.'/../bootstrap/autoload.php';
$app = require_once __DIR__.'/../bootstrap/start.php';
# ... into these two lines.
require __DIR__.'/bootstrap/autoload.php';
$app = require_once __DIR__.'/bootstrap/start.php';
Your Laravel application should now work.
Downgrading To PHP 5.3.2
While Laravel 4 requires at least PHP 5.3.7 because of Bcrypt, there is a way to downgrade to PHP 5.3.2 if you're stuck with that. Rob Clancy has written a great tutorial about this on how to downgrade to the absolute minimum PHP requirement.
Update: Laravel 4.2 will require at least PHP 5.4 so you will always have to get webhost with at least these requirements.
No SSH Access
Most shared hosting don't offer version control support so your deployment options are limited to FTP mostly. This is obviously a bit of a hassle because deployment over FTP is highly discouraged. Which files were edited that should be uploaded? What if I accidentally overwrite some crucial data?
Luckily there are some deployment tools out there which can help.

No SSH access also means no access to composer, artisan and other command line tools. Once again, FTP is probably your only friend. Should you choose not to use a deployment tool and rather just deploy over FTP, I recommend doing at least the following:
Do a composer install with the --no-dev
argument before uploading your files. This makes sure your dependencies are optimized for production without the unnecessary development packages. Overwrite your vendor folder with the updated dependencies when you upload through FTP.
Conclusion
I hope some of these tips helped you on getting Laravel 4 installed on your shared hosting. If you have more tips please share them in the comments and I'll add them to this article.


{% load staticfiles %}
In this study, you will be paired randomly and anonymously with another participant. You will go for a hunt together. Each of you has the choice of hunting a stag or a hare. If you choose to hunt a stag, you can only succeed with the cooperation of the other participant. You can get a hare by yourself, but a hare is worth less than a stag.
Each of you must independently and simultaneously make a decision. Your payoffs will be determined by both choices as shown below:
In each cell, the amount (in points) to the left is the payoff for you and to the right for the other participant.
| The Other Participant | |||
|---|---|---|---|
| Stag | Hare | ||
| You | Stag | 200, 200 | 0, 100 |
| Hare | 100, 0 | 100, 100 |
For your convenience, these instructions will remain available to you on all subsequent screens of this study.


{% extends "main_page.html" %} {% block body %}
The system is currently paused. The lights and pump will not resume regular operation until {{ resume.strftime("%I:%M %p") }} on {{ resume.strftime("%A, %B %d") }}.
You can unpause the system right now by hitting the button below.
{% endblock %}


- Scheduled Backup;
- Incremental Backup;
- Versioning Control (preferably);
- Encrypted
- Local backup (external HD)
Can be paid (if it is really good).
Does anyone have tips?
Post edited 1 x times, last by
BrainFooLong
Administrator
BrainFooLong
Administrator
On Windows 7
* Native Backup from Windows - Have a full HDD copy or just specific folders, backup destination can be choosen
* Encryption -> Bitlocker from Windows - Never used it, but you can encrypt partitions with it
* Scheduling - Use windows sheduler


Add-in Repository
This is a list of add-ins available in this repository.
Add-in
Version
Description
Dash
1.0
Plugin to search Mono documentation in Dash
Dash
1.2
Plugin to search Mono documentation in Dash


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AlloyUI - Tree
TreeView file with drag and drop
TreeView normal with drag and drop
TreeView normal with drag and drop and undraggable elements
TreeView file with IO
TreeViewDD file with IO
TreeView with Tree Paginator
TreeView reused children array 1
TreeView reused children array 2
TreeView from HTML markup


Table of Contents
Preface
Part I. Introduction
1. Why CouchDB?
2. Eventual Consistency
3. Getting Started
4. The Core API
Part II. Developing with CouchDB
5. Design Documents
6. Finding Your Data with Views
7. Validation Functions
8. Show Functions
9. Transforming Views with List Functions
Part III. Example Application
10. Standalone Applications
11. Managing Design Documents
12. Storing Documents
13. Showing Documents in Custom Formats
14. Viewing Lists of Blog Posts
Part IV. Deploying CouchDB
15. Scaling Basics
16. Replication
17. Conflict Management
18. Load Balancing
19. Clustering
Part V. Reference
20. Change Notifications
21. View Cookbook for SQL Jockeys
22. Security
23. High Performance
24. Recipes
Part VI. Appendix
A. Installing on Unix-like Systems
B. Installing on Mac OS X
C. Installing on Windows
D. Installing from Source
E. JSON Primer
F. The Power of B-trees
Colophon


Post, in HTML format
Posted on: May 12th, 2013
Post, in HTML format
Assemble makes it dead simple to build modular sites and components from reusable templates and data.
Posted on: May 12th, 2013
Assemble makes it dead simple to build modular sites and components from reusable templates and data.


--- layout: widgets title: Flex Table name: flex_table widget_selected: selected description: |
There are a lot of ways to deal with tabular data in a mobile format. This solution should be credited to the FilamentGroup for their blog post.
This is accomplished by assigning semantic classes to the column headings that indicate which data values take precedence (essential vs optional), in combination with media queries to display them at different screen widths (a.k.a., responsive design).
There is a bit of JavaScript logic to control which data is displayed by checking column names in the "Display" menu on the right. Once an option is checked, the associated data will persist and display at all screen widths until the option is unchecked.
You can also set a column to always persist by assigning a class in the markup, in which case it has no menu option.
basic_tab: data-ur-set="flex-table": add this attribute to a div that wraps the whole widget data-ur-flex-table-component="table": add this attribute to the table node data-ur-flex-table-component="head": add this attribute to the table head node data-ur-flex-table-component="body": add this attribute to the table body node class="persist": add this attribute to the th node that should never disappear as a column. The option to enable/disable it via a checkbox is also removed. class="essential": add this attribute to the th node that shouldn't disappear as a column due to screen size. The option to enable/disable it via a checkbox is available. class="optional": add this attribute to the th node that should disappear as a column due to screen size at the large screen break. The option to enable/disable it via a checkbox is available. no class: Leave the th node with no class of persist, essential, or optional for the columns to only be present at the large screen size break. The option to enable/disable it via a checkbox is present advanced_tab: Required: table: - add this attribute to the table node head: - add this attribute to the table head node body: - add this attribute to the table body node ---You can have multiple tables on the same page. Two are featured below. Resize your browser window to see the table columns show and hide themselves.


About Us
We are Pythonians
We are a group of aspiring python enthusiasts.We are interested in exploring
the wide range of possible applications of this versatile language.Project Learner's
Learner is our first embarkment into realizing our aspirations.We tried to bring in
a variety of tools offered by python to build what we hope is an useful application.
Hereby we wish each learner to be as interested as we are in the subjects he/she loves
and learn it better.
Like 4 horsemen,We pythonians are....
- Shalini K P,4GH12CS050
- Ravikiran B S,4GH12CS046
- Sowmya K J,4GH12CS057
- Mahadeva A V,4GH13CS404


[gecode-users] Executing code between branchers - the right way to go?
Conrad.Drescher at cs.ox.ac.uk
Conrad.Drescher at cs.ox.ac.uk
Tue Feb 12 10:24:52 CET 2013
Hello there,
I'd greatly appreciate feedback on what the Gecode-way of attacking the
following two issues is:
1) My model features set variables. I have a custom brancher that uses a
heuristics to include certain elements in pairs of set variables sets[i]
and sets[i+1]. Before moving on to the next pair of variables I'd like to
fix sets[i] and sets[i+1] to the elements in the glb, e.g. by posting an
additional constraint that the cardinality of sets[i] is
sets[i].cardMin().
>From MPG 7.1.7 "Executing code between branchers" I cannot figure out how
to pass the index i to the more()-function, so some help on that would be
great. Or should I go for an assignment-brancher for set variables? Yet
something else?
2) Once I have assigned sets[i] and sets[i+1] I'd like to store the pair
as a no-good combination not to be tried again for any consecutive pair of
set variables. Actually it's a bit more complicated, as for the nogood I
also need to consider certain values not in sets[i] and sets[i+1]. I only
want to check for no-goods once I have assigned another pair of set
variables. Would you recommend going for a hash of no-goods? And could
this be maintained in a way similar to what is sketched in MPG 7.1.7?
Alternatively, I could post a constraint that excludes the no-good and use
a custom propagator to ensure this is only checked once the respective
variables are assigned.
Thanks for reading; any input is much appreciated!
Cheers,
Conrad
More information about the users
mailing list


| TSN | Scientific Name | Common Names | Match Type | Author |
|---|---|---|---|---|
This site accesses data from external sources, namely the Integrated Taxonomic Information System (ITIS) database. There is no guarantee, that the display is correct, complete, or permanently available. Please refer to those original sources for authorative information.
Copyright © 2015 Martin Wendt. Created as a demo for Fancytree.


This document describes how to configure the services to be deployed on YARN.
There are mainly three types of configurations:
Below describes the details for each type of configurations.
Below is how a configuration object typically looks like:
"configuration" : { "properties" : { "yarn.service.am-restart.max-attempts" : 10 // config for the service AM }, "env" : { // The environment variables to be exported when container gets launched "env1" : "val1" }, "files" : [ // The list of configuration files to be mounted for the container { "type": "HADOOP_XML", // The format of the config file into which the "properties" are dumped "dest_file": "/etc/hadoop/conf/core-site.xml", // The location where the config file is mounted inside the container "properties" : { // The list of key/value pairs to be dumped into the config file "fs.defaultFS" : "hdfs://myhdfs" // This property will be written into core-site.xml } }, { "type": "HADOOP_XML", // The format of the config file. "src_file" : ""hdfs://mycluster/tmp/conf/yarn-site.xml"" // The location of the source config file to be downloaded "dest_file": "/etc/hadoop/conf/yarn-site.xml", // The location where the config file will be mounted inside the container/ "properties" : { "yarn.resourcemanager.webapp.address" : "${COMPONENT_INSTANCE_NAME}.${SERVICE_NAME}.${USER}.${DOMAIN}" // Merge into (or override existing property in) yarn-site.xml } } ] }
{ "type": "TEMPLATE" "dest_file": "/etc/conf/hello" "properties" : { "content" : "Hello world" } }
The string Hello world will be written into a file located at /etc/conf/hello inside the container.
This section describes the configurations for configuring the YARN service AM.
System-wide service AM properties can only be configured in the cluster yarn-site.xml file.
| System-Level Config Name | Description |
|---|---|
| yarn.service.framework.path | HDFS path of the service AM dependency tarball. When no file exists at this location, AM dependencies will be uploaded by the RM the first time a service is started or launched. If the RM user does not have permission to upload the file to this location or the location is not world readable, the AM dependency jars will be uploaded each time a service is started or launched. If unspecified, value will be assumed to be /yarn-services/${hadoop.version}/service-dep.tar.gz. |
| yarn.service.base.path | HDFS parent directory where service artifacts will be stored (default ${user_home_dir}/.yarn/). |
| yarn.service.client-am.retry.max-wait-ms | Max retry time in milliseconds for the service client to talk to the service AM (default 900000, i.e. 15 minutes). |
| yarn.service.client-am.retry-interval-ms | Retry interval in milliseconds for the service client to talk to the service AM (default 2000, i.e. 2 seconds). |
| yarn.service.queue | Default queue to which the service will be submitted (default submits to the default queue). Note that queue can be specified per-service through the queue field, rather than through the service-level configuration properties. |
Service-level service AM configuration properties can be specified either in the cluster yarn-site.xml at the global level (effectively overriding the default values system-wide) or specified per service in the properties field of the Configuration object as in the example below:
{ "configuration" : { "properties" : { "yarn.service.am-restart.max-attempts" : 10 } } }
The above config allows the service AM to be retried a maximum of 10 times.
| Service-Level Config Name | Description |
|---|---|
| yarn.service.am-restart.max-attempts | Max number of times to start the service AM, after which the service will be killed (default 20). |
| yarn.service.am-resource.memory | Memory size in GB for the service AM (default 1024). |
| yarn.service.am.java.opts | Additional JVM options for the service AM (default " -Xmx768m" will be appended to any JVM opts that do not specify -Xmx). |
| yarn.service.container-recovery.timeout.ms | Timeout in milliseconds after which a newly started service AM releases all the containers of previous AM attempts which are not yet recovered from the RM (default 120000, i.e. 2 minutes). |
| yarn.service.failure-count-reset.window | Interval in seconds after which the container failure counts that will be evaluated for the per-component yarn.service.container-failure-per-component.threshold and yarn.service.node-blacklist.threshold are reset (default 21600, i.e. 6 hours). |
| yarn.service.readiness-check-interval.seconds | Interval in seconds between readiness checks (default 30 seconds). |
| yarn.service.log.include-pattern | Regex expression for including log files by name when aggregating the logs after the application completes (default includes all files). |
| yarn.service.log.exclude-pattern | Regex expression for excluding log files by name when aggregating the logs after the application completes. If the log file name matches both include and exclude pattern, this file will be excluded (default does not exclude any files). |
| yarn.service.rolling-log.include-pattern | Regex expression for including log files by name when aggregating the logs while app is running. |
| yarn.service.rolling-log.exclude-pattern | Regex expression for excluding log files by name when aggregating the logs while app is running. If the log file name matches both include and exclude pattern, this file will be excluded. |
Component-level service AM configuration properties can be specified either in the cluster yarn-site.xml at the global level (effectively overriding the default values system-wide), specified per service in the properties field of the Configuration object, or specified per component in the properties field of the component’s Configuration object.
| Component-Level Config Name | Description |
|---|---|
| yarn.service.container-failure.retry.max | Max number of retries for the container to be auto restarted if it fails (default -1, which means forever). |
| yarn.service.container-failure.retry-interval-ms | Retry interval in milliseconds for the container to be restarted (default 30000, i.e. 30 seconds). |
| yarn.service.container-failure.validity-interval-ms | Failure validity interval in milliseconds. When set to a value greater than 0, the container retry policy will not take the failures that happened outside of this interval into the failure count (default -1, which means that all the failures so far will be included in the failure count). |
| yarn.service.container-failure-per-component.threshold | Max absolute number of container failures (not including retries) for a given component before the AM stops the service (default 10). |
| yarn.service.node-blacklist.threshold | Maximum number of container failures on a node (not including retries) before the node is blacklisted by the AM (default 3). |
| yarn.service.default-readiness-check.enabled | Whether or not the default readiness check is enabled (default true). |
| yarn.service.container-health-threshold.percent | The container health threshold percent when explicitly set for a specific component or globally for all components, will schedule a health check monitor to periodically check for the percentage of healthy containers. A container is healthy if it is in READY state. It runs the check at a specified/default poll frequency. It allows a component to be below the health threshold for a specified/default window after which it considers the service to be unhealthy and triggers a service stop. When health threshold percent is enabled, yarn.service.container-failure-per-component.threshold is ignored. |
| yarn.service.container-health-threshold.poll-frequency-secs | Health check monitor poll frequency. It is an advanced setting and does not need to be set unless the service owner understands the implication and does not want the default. The default is 10 secs. |
| yarn.service.container-health-threshold.window-secs | The amount of time the health check monitor allows a specific component to be below the health threshold after which it considers the service to be unhealthy. The default is 600 secs (10 mins). |
| yarn.service.container-health-threshold.init-delay-secs | The amount of initial time the health check monitor waits before the first check kicks in. It gives a lead time for the service containers to come up for the first time. The default is 600 secs (10 mins). |
There is one component-level configuration property that is set differently in the yarn-site.xml file than it is in the service specification. To select the docker network type that will be used for docker containers, docker.network may be set in the service Configuration properties or the component Configuration properties. The system-wide default for the docker network type (for both YARN service containers and all other application containers) is set via the yarn.nodemanager.runtime.linux.docker.default-container-network property in the yarn-site.xml file.
The AM can be configured to perform readiness checks for containers through the Component field readiness_check. A container will not reach the READY state until its readiness check succeeds. If no readiness check is specified, the default readiness check is performed unless it is disabled through the yarn.service.default-readiness-check.enabled component-level configuration property.
The default readiness check succeeds when an IP becomes available for a container. There are also optional properties that configure a DNS check in addition to the IP check. DNS checking ensures that a DNS lookup succeeds for the container hostname before the container is considered ready. For example, DNS checking can be enabled for the default readiness check as follows:
"readiness_check": { "type": "DEFAULT", "properties": { "dns.check.enabled": "true" } },
Here is a full list of configurable properties for readiness checks that can be performed by the AM.
| Readiness Check | Configurable Property | Description |
|---|---|---|
| DEFAULT, HTTP, PORT | dns.check.enabled | true if DNS check should be performed (default false) |
| DEFAULT, HTTP, PORT | dns.address | optional IP:port address of DNS server to use for DNS check |
| HTTP | url | required URL for HTTP response check, e.g. http://${THIS_HOST}:8080 |
| HTTP | timeout | connection timeout (default 1000) |
| HTTP | min.success | minimum response code considered successful (default 200) |
| HTTP | max.success | maximum response code considered successful (default 299) |
| PORT | port | required port for socket connection |
| PORT | timeout | socket connection timeout (default 1000) |
HTTP readiness check example:
"readiness_check": { "type": "HTTP", "properties": { "url": "http://${THIS_HOST}:8080" } },
PORT readiness check example:
"readiness_check": { "type": "PORT", "properties": { "port": "8080" } },
When the host docker network is configured for a component that has more than one container and the containers are binding to a specific port, there will be a port collision if the containers happen to be allocated on the same host. HTTP and PORT readiness checks will not be valid in this situation. In particular, both containers (the one that successfully binds to the port and the one that does not) may have their HTTP or PORT readiness check succeed since the checks are being performed against the same IP (the host’s IP). A valid configuration for such a service could use the anti-affinity placement policy, ensuring that containers will be assigned on different hosts so that port collisions will not occur.
The service framework provides some constant variables for user to configure their services. These variables are either dynamically generated by the system or are static ones such as service name defined by the user. User can use these constants in their configurations to be dynamically substituted by the service AM. E.g.
{ "type" : "HADOOP_XML", "dest_file" : "/etc/hadoop/hbase-site.xml", "properties" : { "hbase.regionserver.hostname": "${COMPONENT_INSTANCE_NAME}.${SERVICE_NAME}.${USER}.${DOMAIN}" } }
Here, COMPONENT_INSTANCE_NAME and SERVICE_NAME are the constants to be substituted by the system.
Suppose the COMPONENT_INSTANCE_NAME is regionserver-0 and SERVICE_NAME is defined by user as hbase, user name is devuser and domain name is dev.test. Then, the config will be substituted by the service AM and written in the config file /etc/hadoop/hbase-site.xml inside the container as below:
<property> <name>hbase.regionserver.hostname</name> <value>regionserver-0.hbase.devuser.dev.test</value> </property>
where regionserver-0 is the actual component instance name assigned by the system for this container.
| Name | Description |
|---|---|
| SERVICE_NAME | name of the service defined by the user |
| USER | user who submits the service. Note that user name which has “_” will be converted to use “-”, to conform with DNS hostname RFC format which doesn’t allow “_”, and all characters will be lowercased E.g. “Bob_dev” will be converted to “bob-dev” |
| DOMAIN | the domain name for the cluster |
| COMPONENT_NAME | the name for a given component |
| COMPONENT_INSTANCE_NAME | the name for a given component instance (i.e. container) |
| COMPONENT_ID | the monotonically increasing integer for a given component |
| CONTAINER_ID | the YARN container Id for a given container |
| ${COMPONENT_INSTANCE_NAME}_HOST | the hostname for a component instance (i.e. container), e.g. REGIONSERVER-0_HOST will be substituted by the actual hostname of the component instance. Note all characters must be uppercase. |
| ${COMPONENT_INSTANCE_NAME}_IP | the ip for a component instance (i.e. container), e.g. REGIONSERVER-0_IP will be substituted by the actual IP address of the component instance. Note all characters must be uppercase. |
| CLUSTER_FS_URI | the URI of the cluster hdfs |


|
BL3 SDK
0.0.1
Borderlands 3 Class Documentation
|
#include <BL3_Landscape_structs.hpp>
Public Attributes | |
| class UStaticMesh * | GrassMesh |
| struct FPerPlatformFloat | GrassDensity |
| bool | bUseGrid |
| unsigned char | UnknownData00 [0x3] |
| float | PlacementJitter |
| struct FPerPlatformInt | StartCullDistance |
| struct FPerPlatformInt | EndCullDistance |
| int | MinLOD |
| EGrassScaling | Scaling |
| unsigned char | UnknownData01 [0x3] |
| struct FFloatInterval | ScaleX |
| struct FFloatInterval | ScaleY |
| struct FFloatInterval | ScaleZ |
| bool | RandomRotation |
| bool | AlignToSurface |
| bool | bUseLandscapeLightmap |
| struct FLightingChannels | LightingChannels |
| bool | bReceivesDecals |
| bool | bUseAsOccluder |
| bool | bCastDynamicShadow |
| bool | bKeepInstanceBufferCPUCopy |
| unsigned char | UnknownData02 [0x4] |
| bool AlignToSurface |
| bool bCastDynamicShadow |
| bool bKeepInstanceBufferCPUCopy |
| bool bReceivesDecals |
| bool bUseAsOccluder |
| bool bUseGrid |
| bool bUseLandscapeLightmap |
| struct FPerPlatformInt EndCullDistance |
| struct FPerPlatformFloat GrassDensity |
| class UStaticMesh* GrassMesh |
| struct FLightingChannels LightingChannels |
| int MinLOD |
| float PlacementJitter |
| bool RandomRotation |
| struct FFloatInterval ScaleX |
| struct FFloatInterval ScaleY |
| struct FFloatInterval ScaleZ |
| EGrassScaling Scaling |
| struct FPerPlatformInt StartCullDistance |
| unsigned char UnknownData00[0x3] |
| unsigned char UnknownData01[0x3] |
| unsigned char UnknownData02[0x4] |


Somehow I’m getting back up to speed with my usual reading rate (despite no more hours having been added to the day) and there’s quite a bit here this week.
Still-Life with Fruit and Lemons
Feed me, Seymour
The summer holidays are here and the weather is dangerously warm.
Capiscum tincture
After a brief hiatus we are back with a pretty short newsletter this week.
We've already lost the world
A late one this week as I’ve been off with fishmanitis (inflammation of the fishman).
Vertigo
This week’s newsletter has been brought to you by the letter ‘mamonu’ and the number 7.


Where Did That Come From?
An Analysis of Domestic and International Exports and Imports
UCB MIDS w209.3 Spring 2018
Daniel Balck, Felix Tsui, Keri Wheatley
Have you as a consumer ever wondered where the gasoline in your state comes from? Have you as a farmer ever wondered how fertilizer supply might be disrupted if another hurricane Katrina struck? Or have you as a policy maker ever wondered how much your state trades with neighboring states relative to distant states or even other continents? The visualization of this project is intended to answer just these questions.
The data source is based on the Freight Analysis Framework, which was created through a partnership between the Bureau of Transportation Statistics and Federal Highway Administration. Both are part of the United States Department of Transportation. Starting 2012, data from Census Bureau was also added to provide a comprehensive picture of freight movement (states to states, states to international) all modes of transportation. For further information, please visit https://faf.ornl.gov.
Instructions
The main visualization for this project is a chord chart. This chord chart is divided by different regions (Ex. West) and then further divided into each state within the region (Ex. California with the West). For International region, it is further divided into continents.
Using the selection bar on the left under Explore Data, choose a category of goods or select "All Goods". The data can be explored in terms of monetary units ($M), weight (kiloton), or work (ton-miles). Next, choose two locations to explore their relationship for the selected goods. You have the option to select a year between 2012-2015 and exclude any small values (minimum freight size defaults to 5th percentile to reduce background noise within the chart). We have also created some Scenarios of interest that you can select to see. Each scenario has a set of pre-defined parameters (type of goods, metrics, locations, etc). There will be an accompanying commentary that explains the scenario.
The data is shown on a net basis. The thicker the ribbon, the higher the volume. The color of the ribbon is the color of the net exporter state. You can hover over each riboon to get specific details.
Project Target, Purpose, and Disclaimers
We designed this visualization with three types of users and their purposes in mind:
A) Anyone interested in understanding more about trade relationships between different states in US and also aboard
B) Farmers, manufacturers, businesses who can use this data to understand the supply chain of certain goods that is critical to their business and how disruptions in certain states may impact that
C) Policy makers who need to understand the intricacte trade relationships between states for policy setting or state to state negotiation purposes
As a disclaimer, we want to outline some potential bias and limitations in the underyling data and the visualization:
A) We are neither in the logistic profession or transportation industry, we have relied on the data collection and classification methodologies of the FAF framework. Detail of their user guide and documentation can be found at https://faf.ornl.gov/fafweb/Documentation.aspx
B) The underlying data does not capture illegal trafficing of goods between states and across the US border ,
C) The visualization was designed to provide an understanding of the flow of goods, while multiple year of data is offered, it is not designed with the intention of doing YoY comparison analysis,
D) The visualization does not capture intra-state data
*Path color indicates
origin location. Hover
over path for details.
Zoom screen if needed.
Who We Are
Keri, Felix, and Daniel are Master of Information and Data Science candidates at University of California, Berkeley. They are well versed in data engineering, data science, and data visualization creation. Outside the program, they are respected professionals in their global organizations. Keri works at Civitas Learning, Felix works at Cognizant Technology Solutions, and Daniel works at IBM.


The Hitchhiker's Guide to the Galaxy (1981)
a TV movie review by Chris Casino
My ratings scale
**** - Excellent *** - Good ** - Fair, but don't go out of your way * - Don't say I didn't warn you
*** out of ****
Written by Douglas Adams, produced and directed by Alan Bell, Executive producer John Lloyd, Music by Paddy Kingsland.
Cast: Simon Jones (Arthur Dent), David Dixon (Ford Prefect), Mark Wing-Davey (Zaphod Beeblebrox), Sandra Dickinson (Trillian), Martin Benson (Vogon Captain), Stephen Moore (voice of Marvin), Richard Vernon (Slartibartfast), David Learner (Marvin), David Prowse (Bodyguard).
This started out as a radio series, then it became two novels, then this six episode TV series came out, then it became three more books, a play, a computer game, (appropriately) a bath towel, all of which was done by creator Adams, and now a film version will be out in 2000 (and you can all bet your bottom dollar that I will be the first one to post a review on this newsgroup of that movie), and the plot will follow in a second.
When I was thirteen, I went over to my aunt Beth's house, and she had a copy of this book. She suggested I might enjoy it. I doubted it, but out of curiousity I picked it up and read it. Five years later, I'm hooked on this quirky but lovable British piece, and I've become quite a fan of creator Douglas Adams. In fact, find me one novel of his I haven't read five thousand times, I will find a medal for you.
Arthur Dent, a perfectly ordinary Earth man (played quite well by Simon Jones, whom this role was written for) discovers after his home is demolished to make way for a bypass, that his best friend Ford Prefect (Dixon, who has the right look for Ford) is not from Earth, and together they hitchhike aboard a Vogon ship shortly before the green, slimy Vogons destroy the planet Earth to make way for a hyperspace bypass. Anyway, after they are read some awful poetry, they are thrown off into deep space and rescued by Ford's semicousin, Zaphod Beeblebrox (an appealing Wing-Davey), the two-headed, three armed hippy President of the galaxy, his human girlfriend, Tricia "Trillian" McMillan (Dickinson, who is appealing to look at, but has a voice worse than Fran Drescher, which is why I wish Adams had stuck with his instincts and let her do English Rose), and the depressed, hilarious cyborg, Marvin the Paranoid Android ("Life, don't talk to me about life!"). All five of them meet Slartibartfast (A funny role for the late Vernon), a planet maker on the planet of Magreathea (forgive the spelling), and stop by the Restaurant at the End of the Universe for dinner as they try to find the question to the ultimate answer, which is 42. This has something for everyone. It's sci-fi, and if you don't like that (which I do), it's funny, and it even has amusing little jokes about stuff like digital watches, towels, inteligent supercomputers, etc., that Adams has said to've picked up from personal experiences. The miniseries rates lower than four stars simply because the movie version in 2000 will obviously have so much more computer generated technology to make it look more realistic (which this, sadly, does not most of the time) and it will make the effects here look like absolute rubbish, which they weren't at the time.  But that's okay, I'll still love it anyway.
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
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Related links: index of all rec.arts.movies.reviews reviews


Situated on the west coast of Corsica between the green of the mountains, the silver-white sand of the beach and the deep blue of the sea, this quiet town is a place to enjoy.
Position 41°40' 49"N, 08°54'E (harbour)
On approach, be aware of the commercial traffic (ferries). The port has two basins. The west one has a depth of 3.5m and the eastern basin has 6m. If aprooaching at night, take care as some breakwater lights are hidden by rocks.
The town has all services.
Last updated March 2015.


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- That position is Legal!
- Damn it!
The main idea for this variant was the build an engine to create the most illegal chess games in the world.
Impossible Chess
This variant was invented in January 2000 by Joao Pedro Neto.
The 'Not So Impossible Chess' variant: Change in rule 2.1 "impossible FIDE position" by "possible FIDE position" and remove 2.2
note: When rule 2 says "any piece" this means that the piece may change its color (and the player cannot move it anymore, since it now belongs to the other player).
note: Rule 2.2 is necessary. If not, if a player creates an impossible position, the other player would take advantage of it to play without restrictions.
notation: move=x means that after 'move', the piece is transformed into piece 'x'. If the piece also changes color, append an '^' symbol.
I wish to thank Theodore Hwa<EMAIL_ADDRESS>for his comments and suggestions (you can check his chess retrosoftware at http://www.stanford.edu/~hwatheod/Retractor).
   q . . . . . N . . . . .  O O O R . B Q K B N R
3.   Q . . . . O O O . . O O O R . B Q K B N R
and so on...
back to top


eQTL meta-analysis discovers more eQTL than individual cohorts. ( a) Quantile-quantile plot of eQTL from individual cohorts as well as the meta-analysis of the true (black) and permuted (light blue) data. Number of significant eQTL (SNP-gene pairs) ( b) or genes with significant eQTL ( c) as a function of cohort size.


Select your chart types
Pick a chart type. If you're mixing two or more chart types in the same chart (like a combined line and bart chart), select both.
This document is a work in progress. Questions and feedback are welcome! Please send comments to<EMAIL_ADDRESS>Pick a chart type. If you're mixing two or more chart types in the same chart (like a combined line and bart chart), select both.
A bar chart uses rectangular bars to show discrete, numerical comparisons across categories. The height (or length) of the bar indicated the numerical value. One axis of the chart shows the specific categories being compared (the independent variable), and the other axis represents a discrete value scale (the dependent variable).
In a vertical bar chart, also called a column chart, the categories are on the x-axis, and the value being measured is on the y-axis.
In a horizontal bar chart, the value being measured is on the x-axis, and the categories are on the y-axis.
Labels should be clearly associated with their indicated bar. Bars should be placed relative to their axis labels, and value labels for the bar should be directly positioned with the bar (show diagrams with options).
Labels should be of sufficient size to be easily legible (quote WCAG here)
With a large number of bars, labels may be too small to read, may overlap each other, or may otherwise not be legible. If label space becomes an issue, consider using a horizontal bar chart, or use a smaller number of bars, either by aggregating data, splitting the chart into multiple bar charts, each with its own facet.
This is for data with multiple series.
This is for data with multiple series.
Best Practices for use of color for accessibility.
Qualitative data values are different categories or classes. This is often called nominal data, meaning that each value represents a named thing, rather than an ordered or numerical progression. For qualitative data, use a different hue for each item.)
TODO: list common qualitative / categorical value type examples widely used in Pearson
Examples of categorical data: courses, learning topics, schools, etc.
TODO: ask if there is or should be consistent color-coding for different topic areas (e.g math = orange, science = red, social studies = blue) and sub-colors within those categories. Could be good for symbology
Do not use different hues to represent elements of the same category. This may confuse or distract people with some cognitive disabilities, by implying a pattern or categorization that doesn't exist, thus increasing their cognitive load and even frustration in trying to understand this non-existent pattern.
Misuse of multiple colors also distracts from the message of the data visualization, and increases visual clutter.
Color may used to distinguish discrete items or related groups of items which do not have an intrinsic order, such as different courses of study, or different schools school systems within a district or countries on a map (when not ranking them by another criteria). For this purpose, a color palette (or set of specific colors) should follow perceptual guidelines: TODO: simplify this paragraph
Note that the Pearson branding color palette is not ideal for use with data visualization, because it isn't perceptually uniform. But if it's going to be used for qualitative charts, it should be consistent
Sequential data values are items that have ordered, numerical values, such as performance metrics.
Examples of sequential data: test scores, grades, rankings, performance times, class size, etc.
TODO: describe perceptual uniformity
TODO: describe sequential colors as shown in modified palette above
TODO: list common sequential value type examples widely used in Pearson
When color is used to represent an ordered sequence of data values, the color palette (or set of specific colors) should follow these perceptual guidelines:
TODO: show and explain RAG color palette
Diverging data values represent the deviation of the value in along a linear axis relative to a neutral midpoint. This midpoint may be zero, where the two poles are positive and negative, or some arbitrary average such as test scores, where the two poles may indicate how well or poorly a student performed. There may be an implied range of acceptable thresholds within the two poles, where the extremes are outside the acceptable range.
Examples of diverging data: individual test scores relative to the average, etc.
TODO: list common diverging value type examples widely used in Pearson
When color is used to represent an diverging set of data values, the color palette (or set of specific colors) should follow these perceptual guidelines:
Sometimes more than one data type is being represented in the same chart. For example, a bar chart might represent schools by the size of student population (the length of the bar), and also by region (the color of the bar). This is common, and can be used effectively. However, care must be taken to explain both signals: the sequential (the dependent variable axis labels) and the categorical (a color-coded legend), with a textual explanation in the title or caption.
Normally, you should reserve a sequential palette for quantitative (not qualitative) values. However, when presenting qualitative data in a manner ordered by decreasing quantity value, it can be effective to use variations on the same hue for the categories. This also works well for people with decreased color vision and for printing in grayscale. Note: when combining darker and lighter colors, darker colors are typically associated with larger values, while lighter colors are associated with smaller values. Reversing or mixing the sequence of colors may cause confusion or misunderstanding in readers.
Uses for grayscale colors include display in media or devices without chromatic colors (e.g. print or e-ink devices), and de-emphasis of data points to contrast with accentuated data points.
For small nunbers of qualitative or sequential data, you can substitute grayscale colors on a white background for the chromatic colors. Normal human vision cannot reliably differentiate between more than a few shades of gray, so limit the palette to five colors, if possible.
Do not distinguish items by color alone, especially with the limited differentiation by achromatic colors. Consider using supplementary patterns or symbols where possible. Note that diverging data do not work well with a grayscale palette, so use of patterns or symbols may be necessary for visualizations of diverging data.
It is a good practice to assume that your data visualization may be printed on a grayscale printer, and to limit your use of color even for chromatic charts.
Note: For use in print, it is sometimes possible to use technologies such as SVG and CSS to specify special print colors, such as grayscale colors, that are selected specifically for grayscale print (rather than chromatic colors printed with only saturation and lightness, and no hue). Where possible, specify CSS print media rules for grayscale color palettes.
Often, it is good to reduce visual clutter and draw emphasis to key sections or data points by using lighter or heavily desaturated achromatic or chromatic colors for all other elements of a design.
Because of the convention that light grays denote a de-emphasized element, you should not use achromatic colors in combination with chromatic colors as part of qualitative or sequential palette. This may cause confusion to readers, including those with some cognitive disabilities, and it may be insufficient contrast for some readers with color blindness.
When using grayscale to de-emphasize elements, ensure that the grayscale and chromatic colors have distinct saturation and lightness (e.g. shades). Elements of the same or similar shades will be indistinguishable to people with decreased color vision, and when printed in grayscale.
TODO: more color examples
TODO: describe the semantics or meanings of colors, such as for RAG status charts (e.g. don't use reds to mean positive or go conditions)
TODO
For cartesian (X/Y) charts, always display both X and Y axes, with clear labels for numerical axis.
Visual clutter is disorganization in the collection of elements, or any unneccessary visual elements that don't directly contribute to the reader's ability to understand the information in a document or image. Visual clutter contributes to extraneous cognitive load, and may reduce the reader's task performance.
Independent axis (usually Y-axis) guide lines that extend the visual tick mark across the width of the chart may help some readers correlate datapoint position (e.g. bar height) with a specific value. This is especially true for younger readers who may draw an association with graph paper. Other readers may find such guide lines to be distracting visual clutter. Inclusion of guide lines is optional, and both approaches are acceptable.
Omitting or hiding axis lines or labels to reduce visual clutter reduces usability for many readers, especially younger readers or those with some cognitive disabilities, and may cause misinterpretation of the data. Always include axis lines, and always include axis labels for numeric axes. Axis labels for categorical axes are optional, if the chart title includes a clear description of what's being measured (i.e. the category type).
Use solid colors for fill and lines, and avoid patterns such as cross-hatches or dashed lines. Instead, use well-defined color combinations in(cludin grayscale) that are distinguishable by people with color disabilities, use distinct symbols where appropriate (e.g. as data points on line charts or scatter plots), or use different line thicknesses if necessary.
Note: Earlier accessiblity advice sometimes encouraged the use of patterned fills or dashed line patterns in data visualizations. This practice often makes charts more difficult to read, and significantly increases cognitive load or some people with cognitive disabilities. In addition, patterns that cross one another can produce visual effects that distort the data representation.
TODO: provide good and bad examples
An exception to this guidance is the limited use of patterned fills or strokes to indicate some qualitative exception, such as missing data, uncertain data, or future projected data. Reserve the use of patterns for this semantic data, rather than as a visual distinction.
The font family used in charts and diagrams should be consistent with the text on the containing page. Currently, this will typically be the sans serif typeface Open Sans, but may also be the serif typeface Playfair Display.
Limit the number of colors and styles used for labels in your chart or diagram. Avoid bold or italic text, unless it is intended to emphasize a particular feature. Text color should normally be distinct, contrasting, neutral grayscale colors, such as graphite gray, ink black, or chalk white.
As with any document, the size of text within a chart or diagram should reflect the hierarchical level of the label. For example, the title of the chart should be largest, followed by the axis labels, followed by the axis tick labels. At each level of hierarchy, the different labels should have a uniform size. For example, the labels for the X and Y axis should be the same size, and the labels for the axis tick labels values on both the X and Y axis should be the same (smaller) size.
Avoiding shrinking longer labels to fit, within the same hierarchical level. Instead, use a consistent font size for that level that fits all labels (or use abbreviations where appropriate).
Other labels outside a strict hierarchy, such as value labels, legend labels, or annotations, should match the closest appropriate font size (e.g. value labels should be the same size as axis tick labels).
Inconsistent font sizes can make it harder for the reader to construct a mental model of the structure of the chart.
 The smallest font size as displayed in the chart image should match the minimum font size specified in the Pearson style guide.
Note: For the purpose of this document, illustrative examples do not obey this font-size guidance. This is purposeful, to emphasize the salient feature of the chart being described. Where the understandability and perceivability of the data is important, use appropriate font sizes.
All images should have alt-text, that is, text that provides a brief, cogent summary of what the image displays. This is especially important for charts and diagrams.
At a minimum, the alt-text should contain:
In addition to alt-text, for more complex charts or diagrams, a longer text description should be provided that describes each step or aspect of the visualization, and how it is connected to other steps or aspects
If possible, the data itself should be in a structure, such as SVG or HTML, that can be navigated and explored by screen reader users.
Ideally, the chart should also include another view of the data, such as a data table, or a link to download the data in a spreadsheet format (such as CSV or Excel).
Optionally, the chart should also include citations or sources for the data.
TODO: provide examples for alt text and summaries
TODO: show examples of dashboard color usage
TODO: describe the use and misuse of animation
TODO: describe the most common chart types, what they should be used for, and layout guides for each


--- title: Aarushi Paingankar author: Aarushi Paingankar date: '2021-07-25' slug: [] categories: - R tags: - R Markdown image: https://www.alice-in-wonderland.net/wp-content/uploads/2.jpg caption: '' preview: yes output: blogdown::html_page: toc: no fig_width: 5 fig_height: 5 keep_md: yes description: Im Aarushi and Ive opted for IADP. I'm pretty new to coding in general. The following works are the ones I made based on what we learnt in this course. I have tried to include different graphs for a bit more variety. ---
Hello.
Im Aarushi and I’ve opted for IADP. I’m pretty new to coding in general. The following works are the ones I made based on what we learnt in this course. I have tried to include different graphs for a bit more variety.
The diamonds dataset contains the prices of over 50,000 round cut diamonds.
1.It inclused the price of diamonds(in USD)
2.carat
weight of the diamond)
3.cut
quality of the cut - Fair, Good, Very Good, Premium, Ideal
4.color
diamond colour from D (best) to J (worst)
5.clarity
a measurement of how clear the diamond is (I1 (worst), SI2, SI1, VS2, VS1, VVS2, VVS1, IF (best))
6.x
length in mm
7.y
width in mm
8.z
depth in mm
9.depth
total depth percentage = z / mean
10.table
width of top of diamond relative to widest point
## # A tibble: 6 x 10
## carat cut color clarity depth table price x y z
## <dbl> <ord> <ord> <ord> <dbl> <dbl> <int> <dbl> <dbl> <dbl>
## 1 0.23 Ideal E SI2 61.5 55 326 3.95 3.98 2.43
## 2 0.21 Premium E SI1 59.8 61 326 3.89 3.84 2.31
## 3 0.23 Good E VS1 56.9 65 327 4.05 4.07 2.31
## 4 0.29 Premium I VS2 62.4 58 334 4.2 4.23 2.63
## 5 0.31 Good J SI2 63.3 58 335 4.34 4.35 2.75
## 6 0.24 Very Good J VVS2 62.8 57 336 3.94 3.96 2.48
## Rows: 53,940
## Columns: 10
## $ carat <dbl> 0.23, 0.21, 0.23, 0.29, 0.31, 0.24, 0.24, 0.26, 0.22, 0.23, 0.~
## $ cut <ord> Ideal, Premium, Good, Premium, Good, Very Good, Very Good, Ver~
## $ color <ord> E, E, E, I, J, J, I, H, E, H, J, J, F, J, E, E, I, J, J, J, I,~
## $ clarity <ord> SI2, SI1, VS1, VS2, SI2, VVS2, VVS1, SI1, VS2, VS1, SI1, VS1, ~
## $ depth <dbl> 61.5, 59.8, 56.9, 62.4, 63.3, 62.8, 62.3, 61.9, 65.1, 59.4, 64~
## $ table <dbl> 55, 61, 65, 58, 58, 57, 57, 55, 61, 61, 55, 56, 61, 54, 62, 58~
## $ price <int> 326, 326, 327, 334, 335, 336, 336, 337, 337, 338, 339, 340, 34~
## $ x <dbl> 3.95, 3.89, 4.05, 4.20, 4.34, 3.94, 3.95, 4.07, 3.87, 4.00, 4.~
## $ y <dbl> 3.98, 3.84, 4.07, 4.23, 4.35, 3.96, 3.98, 4.11, 3.78, 4.05, 4.~
## $ z <dbl> 2.43, 2.31, 2.31, 2.63, 2.75, 2.48, 2.47, 2.53, 2.49, 2.39, 2.~
Two bar graphs of the diamonds.
The first divides the diamonds based on the cut and the colour indicates the clarity. The second divides them based on the depth and the colour divides them based on clarity.
The below dataset lists the names of artists, their birth and death years. the titles of the paintings they have made, the year it was aquired, their gender, department etc.
## Rows: 2,253
## Columns: 23
## $ title <chr> "Rope and People, I", "Fire in the Evening", "Portra~
## $ artist <chr> "Joan Miró", "Paul Klee", "Paul Klee", "Pablo Picass~
## $ artist_bio <chr> "(Spanish, 1893–1983)", "(German, born Switzerland. ~
## $ artist_birth_year <dbl> 1893, 1879, 1879, 1881, 1880, 1879, 1943, 1880, 1839~
## $ artist_death_year <dbl> 1983, 1940, 1940, 1973, 1946, 1953, 1977, 1950, 1906~
## $ num_artists <dbl> 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1~
## $ n_female_artists <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0~
## $ n_male_artists <dbl> 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1~
## $ artist_gender <chr> "Male", "Male", "Male", "Male", "Male", "Male", "Mal~
## $ year_acquired <dbl> 1936, 1970, 1966, 1955, 1939, 1968, 1997, 1931, 1934~
## $ year_created <dbl> 1935, 1929, 1927, 1919, 1925, 1919, 1970, 1929, 1885~
## $ circumference_cm <lgl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, ~
## $ depth_cm <dbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, ~
## $ diameter_cm <lgl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, ~
## $ height_cm <dbl> 104.8, 33.8, 60.3, 215.9, 50.8, 129.2, 200.0, 54.6, ~
## $ length_cm <lgl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, ~
## $ width_cm <dbl> 74.6, 33.3, 36.8, 78.7, 54.0, 89.9, 200.0, 38.1, 96.~
## $ seat_height_cm <lgl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, ~
## $ purchase <lgl> FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FAL~
## $ gift <lgl> TRUE, FALSE, FALSE, TRUE, TRUE, FALSE, TRUE, TRUE, F~
## $ exchange <lgl> FALSE, FALSE, FALSE, FALSE, TRUE, FALSE, FALSE, FALS~
## $ classification <chr> "Painting", "Painting", "Painting", "Painting", "Pai~
## $ department <chr> "Painting & Sculpture", "Painting & Sculpture", "Pai~
The graph below is a scatter plot of the height in cm of the works and the year they were acquired. Here there is a facet wrap used which divides the points in two i.e. purchase TRUE or FALSE, where the light green is True and dark green is False
The map below is a map of Andheri, Mumbai. The pink shapes indicate the amenities and the blue ones show the buildings in andheri. The white is for the highway. I set the background of the map to black so that the light blue, white and pink stands out.
## min max
## x 72.83420 72.87420
## y 19.09588 19.13588
## num [1:2, 1:2] 72.8 19.1 72.9 19.1
## - attr(*, "dimnames")=List of 2
## ..$ : chr [1:2] "x" "y"
## ..$ : chr [1:2] "min" "max"
This course was about using R language on Rstudio to plot graphs and maps.
I learnt how to edit text in a markdown (eg. add links, use bold/italic text, create lists etc) and also how to import datasets and use them to create various kinds of scatter graphs, bar graphs etc. I also learnt to make maps of any place and also plot the buildings, highways amenities etc on it.
I feel like this was something totally new to me and I would not have dipped my toes into coding if it were not for this workshop. I do feel like it will help me in the long run as I am now a little familiar with coding.


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