Build with Trustpilot!
Get reviews, score and other profile specific data through a JSON feed. Build exactly what you like - there's no limits!
Custom integrations
Clients of Trustpilot are offered a TrustBox that they can easily embed with an iframe on their website. There are, however, limits of using an iframe to show web content on a website.
Therefore we've opened up for web developers to get our data through a JSON feed to make their own awesome Trustpilot integrations to best suit your needs.
Go creative!
There is absolute no set limits for what you can do with the data pulled from our JSON feeds. You can show a given number of reviews, company data, scores and much more.

Basics
The feed is hosted at Amazon in Ireland and there is no limt on how often you download it. But generally we recommend you to use some kind of caching layer mostly so that the user does not have to wait for the server to download the feed at every request.
We try to input caching in the samples and as far as possible we describe other caching solution as well. How long you do want to cache is completely op to you, but keep in mind that the reviews, trustscore evt. does only update as often as you do. So caching too long will result in the data not being updated often enough, and caching too short will result in poor performance for the user.
An sample feed can be download from here http://s.trustpilot.com/tpelements/917278/f.json.gz. This feed is for the demo webshop www.demoshop.com. You can see the reviews on this domain here Demoshop reviews and you are also welcome to create more reviews on this site as it is for demo usage only.
Making it move with jQuery
Some would maybe like their own plugin to be animated. We've decided not to include any examples of JavaScript animations in our documentation. Instead we can refer to our Showcases section, where you may be able to see real world examples of moving Trustpilot integrations.
We will, however, recommend you to use a JavaScript framework like jQuery (or any other framework), that have great documentation, to achieve the wished animations of your plugin. You can use jQuery methods like animate()
, slideUp
, slideDown()
, fadeIn()
or fadeOut()
to get the exact behavior that you may want. There is a full list of effects over at the jQuery documentation.
JSON Documentation
We deliver the feed as a single JSON object.
File location
The link for your specific JSON file can be found at http://b2b.trustpilot.com/Modules/Plugins (login required).
A demo feed can be found at http://s.trustpilot.com/tpelements/917278/f.json.gz.
Compression
The JSON feed file is zipped with gzip.
Elements of the feed
The feed is a tree structure of elements. Each attribute can either have a simple type like int
or string
, or a complex type. The type is described in brackets.
Feed root
-
Categories [Array of Category]
The categories of this domain. May contain zero to multiple elements. -
DomainName [string]
The name of the domain, e.g. "demoshop.com". -
FeedUpdateTime [Time]
The time this feed was generated. -
ReviewCount [ReviewCount]
Total count of reviews and distribution of revers per rating. -
ReviewPageUrl [string]
The url for the review page of this domain on trustpilot. Use this to link to all the reviews. -
Reviews [Array of Review]
A list of up to 10 reviews of this domain.
These reviews are selected by:- The reviews that the administrator of the domain have selected for the feed
- Select from the remaining reviews, order by rating descending, then by date descending
-
TrustScore [TrustScore]
Information about the score of the domain, measured in both rating (0-100) and number of stars (1-5).
Category
-
Count [int]
The amount of domains in the category. -
ImageUrls [Hash of string, string]
A dictionary of urls to images showing the position of the domain in the category, e.g. in the top 3.
The image is in different sizes and can be found with the keys, "i100", "i120", "i140", "i180", "i220", "i280" for the six different pixel sizes. -
Name [string]
The name of the category localized to the language of the domain. -
Position [int]
The position in the category.
Time
-
Human [string]
A human readable representation of the time localized to the language of the domain. e.g. '4 October 2011 10:16:52 GMT' -
HumanDate [string]
A human readable representation of the date part of the time localized to the language of the domain. E.g. '15. Oct' -
UnixTime [long]
The number of seconds since January 1st, 1970 to this time.
ReviewCount
-
DistributionOverStars [Array of int]
The number of reviews grouped by number of stars. E.g. [0, 1, 5, 4, 12] for a domain that have zero 1-starred reviews, 1 2-starred review, 5 3-starred reviews, 4 4-starred reviews and 12 5-starred reviews. -
Total [int]
The total amount of reviews on this domain.
Review
- CompanyReply [string]
The company reply of this review if any, otherwise null -
Content [string]
The main content of the review. -
Created [Time]
The creation time of the review. -
Title [string]
The title of the review. -
TrustScore [TrustScore]
The score of the review. -
Url [string]
The url to the review. -
User [User]
The author of the review. -
IsVerified [bool]
True if the review is made using one of Trustpilot's feedback services, otherwise false.
TrustScore
-
Human [string]
A description of the score, localized to the language of the domain. E.g. 'Excellent' or 'Good'. -
Score [int]
A score from 0 to 100. -
Stars [int]
A number of start from 1 to 5. -
StarsImageUrls [Hash of string, string]
Urls for images that shows the number of stars. The images come in three different sizes which can be found on the keys "small", "medium", and "large".
User
-
City [string]
The city of the user if any, otherwise null. -
HasImage [bool]
True if the user have a profile image, otherwise false. -
ImageUrls [Hash of string, string]
Urls for the profile image in different sizes. If the user does not have a profile picture, the url will point to a default profile image.
The sizes can be found on these keys: "i24", "i35", "i64", "i73". -
Locale [string]
The locale or culture of the user. E.g. "en-GB" for British. -
Name [string]
The name of the user. -
ReviewCount [int]
The total number of reviews written by this user.
Example of a feed
TrustBox Settings
TrustBox is the official widget from Trustpilot. The widget can be configured without using the module on the Trustpilot B2B site (http://b2b.trustpilot.com/Modules/Widget, login required).
To do so, you need to change the content of the data-tp-settings
attribute of the widget.
All the settings should be comma separated. E.g. data-tp-settings="domainId:917278,fontSize:12"
This table shows all the possible configurations of the widget:
| Setting name | Description | Required | Valid values | Default value | Example |
|---|---|---|---|---|---|
| domainId | Your personal domain Id | yes | Use your domain Id. This can be found in the snippet in http://b2b.trustpilot.com/Modules/TrustBox2. | n/a | domainId:917278 |
| width | The width of the widget, in pixels | no | Positive integers | 180 | width:200 |
| height | The height of the property. See also the useDynamicHeight property | no | Positive integers | 500 | height:600 |
| useDynamicHeight | Set to true to auto resize the height. Otherwise the height property will be used. Note: This only works in HTML5 browsers, i.e. all browser that is not Internet Explorer older than version 9.0. In these browsers the height property will always be used regardless of this setting. | no | true, false | true | useDynamicHeight:false |
| numOfReviews | The number of reviews to show | no | 1-10 | 3 | numOfReviews:5 |
| showReviews | Set to true if the review part of the box should be shown | no | true, false | true | showReviews:false |
| showHeader | Set to true if the header part of the box should be shown | no | true, false | true | showHeader:false |
| showRatingText | Set to true if the header should contain a text telling the user to make a review | no | true, false | true | showRatingText:false |
| showComplementaryText | Set to true if the header should contain a text showing the amount of reviews | no | true, false | true | showRatingText:false |
| showUserImage | Set to true if each review should have a user image | no | true, false | true | showUserImage:false |
| showDate | Set to true if each review should have a date | no | true, false | true | showDate:false |
| usePopup | Set to true if clicking the widget should open a popup showing more reviews | no | true, false | true | usePopup:false |
| useDarkLogo | Set to true to use the dark Trustpilot logo in the bottom bar. Otherwise the light Trustpilot logo will be used. | no | true, false | true | useDarkLogo:false |
| fontSize | The font size to use, in pixels | no | Integers greater than 0 | 11 | fontSize:9 |
| fontFamily | The font family to use | no | Helvetica, Arial, LucidaGrande, Tahoma, Verdana, TimesNewRoman | Helvetica | fontFamily:Verdana |
| fontColor | The font color to use | no | All hex color values without the '#' | 444444 | fontColor:000000 |
| linkColor | The color of links in the widget | no | All hex color values without the '#' | CE5600 | linkColor:0000FF |
| fontBarColor | The font color to use on the top bar | no | All hex color values without the '#' | 444444 | fontBarColor:44FF44 |
| bgColor | The background color to use | no | All hex color values without the '#' | FFFFFF | bgColor:FFFFFF |
| bgBarColor | The background color of the two bars | no | All hex color values without the '#' | DDDDDD | bgBarColor:FFFFFF |
| borderRadius | The border radius of the surrounding box | no | Non-negative integers | 5 | borderRadius:10 |
| borderWidth | The border width of the surrounding box | no | Non-negative integers | 1 | borderWidth:2 |
| borderColor | The color of the border of the surrounding box | no | All hex color values without the '#' | 444444 | borderColor:222222 |
| locale | The language to use in the widget | no |
All the locales supported by Trustpilot. Currently:
|
The locale of the domain. | locale:en-GB |
JSONP
If you prefer getting the data from JavaScript the JSON is also available in a JSONP format. The callback function is trustpilot_jsonp_callback. For the rest the documentation is the same as the JSON feed.
File location
The link for your specific JSONP file can be found at http://b2b.trustpilot.com/Modules/Plugins (login required).
A demo feed can be found at http://s.trustpilot.com/tpelements/917278/f.jsonp or if you run an SSL site you can use https://ssl.trustpilot.com/tpelements/917278/f.jsonp.
jQuery JSONP example
Below is an example of retrieving the JSON feed with the built-in support for JSONP in jQuery. This example will log the retrieved JSON object to the developer console in the web browser.
C# .NET Sample
Here is an sample of how to download the JSON feed and parsing it to a set of models in C#.NET.
The sample uses System.Web.Caching for caching the result as it is highly recommended to use some kind of cache. Caching in this situation makes sure that the user does not have to wait for the server to download the feed and parse it every time.
There are several other way of caching, one way could be just to download the feed and save it to local disk, and then every once in a while download the file again.
You could also parse this to you database and then get the data from there at every request.
In all cases it could be a good idea to have an service running in the background that fetches and parses (if needed) the feed. This has the advantage that the user never has to wait for the data to download and parse. This is, however, not necessary as the feed normally is not bigger then 3-4KB.
If the FeedModel is not in the cache the code downloads the feed directly from the server. It then deserializes the string downloaded to an the FeedModel created for the purpose. The FeedModel can then be used to show the data in the frontend.
Download and parse feed
The code that downloads the feed and parses it.
Models
The models the feed is parsed into.
For the full sample go to the source and download. Please let us now if there is anything wrong with the sample, either by making a pull request fix or by submitting an issue.
The sample is aviable in both ASP.NET 3.5 and MVC 3 (Razor) version.
PHP Sample
Here is a sample of how to download the JSON feed, unpack the gzip format and parse it to a PHP variable.
The sample does not use any kind caching, which is highly recommended to add if used in a production environment. Adding cache functionality will make sure that the user does not have to wait for the server to download the feed and parse it on every single request.
Since the JSON feed is gzipped we've included a function for unpacking the gzipped file.
For the full sample go to the source and download. Please let us now if there is anything wrong with the sample, either by making a pull request fix or by submitting an issue.
The sample is supported by PHP version >= 5.2.


{% load widget_tweaks %} {% include 'common/snippets/modal_header.html' with modal_title='Supplier details' %}
| Name: | {{ supplier.name }} |
| Address | {{ supplier.address }} |
| Postal Code | {{ supplier.postal_code }} |
| Town | {{ supplier.town }} |
| Country | {{ supplier.country }} |
| Phone Number | {{ supplier.phone_number }} |
| Fax Number | {{ supplier.fax_number }} |
| {{ supplier.email }} | |
| URL | {{ supplier.url }} |
| Info | {{ supplier.info }} |
| Active | {{ supplier.active }} |
| Created by | {{ supplier.created_by }} |
| Created at | {{ supplier.created_at }} |
| Last modified by | {{ supplier.last_modified_by }} |
| Last modified at | {{ supplier.last_modified_at }} |


Webpages | Grace
Hello World or whoever is reading this!
I probably know you because the chances are I have sent you this link.
You can do a couple of things here.
You can firstly look at my webpages and after, feel free to comment on them in the link below.
All my webpages (well most of them) and the comment box's link will be here.
Comment Box:
Comment Box/Survey
All other Webpages:
All about Me!!


streamdata.io javascript sdk
Introduction
streamdata.io is a real-time cache proxy allowing you to poll standard public REST APIs and push updates to clients. But wait, there is more: streamdata.io keeps an history of modifications that occur on the data between two pollings! This way, streamdata.io is able to give you the list of modifications which happened since last time you fetched the data.
In other words, streamdata.io is the perfect cache to dramatically reduce the bandwidth consumption to transfer data that change both rarely and frequently.
Features
- Incremental data update: replacing polling by push is not enough to minimize data streams. That's why streamdata.io pushes only the part that has changed.
- Server-Sent-Events (SSE): updates are pushed to the client using SSE protocol. By providing fallback mechanisms streamdata.io can also work with older browsers.

This Javascript SDK facilitates the usage of streamdata.io.
Follow this quick start guide to easily integrate streamdata.io into your application.
Getting Started
1. Add SDK to your application
Add reference to the streamdataio.min.js file in your application code. Usually this is done by using a script html tag into your main page:
<script src="/js/streamdataio.min.js"></script>
By doing this, you access in your JavaScript code to the streamdataio
object which is the central point of all streamdata.io SDK API.
2. Use streamdata.io to connect to your API
Create a StreamDataEventSource
object into your JavaScript code.
var myEventSource = streamdataio.createEventSource("http://mysite.com/myJsonRestService");
The StreamDataEventSource
is the main entry point for establishing a data stream connection to the given URL.
It uses standard HTTP Server-Sent-Events to get the data you required through streamdata.io proxy.
If your API requires specific headers, simply pass them as an array on the event source creation, and streamdata.io will forward them to your Information System.
An optional headers
parameter can be passed to the createEventSource
method.
It must be an array with the following structure:
['header1: headervalue1', 'header2: headervalue2']
Here is an example to add a Basic authorization header to your target API call:
// Your api URL
var url = 'http://mysite.com/myJsonRestService';
// add whatever header required by your API
var headers = ['Authorization: Basic QWxhZGRpbjpvcGVuIHNlc2FtZQ=='];
var myEventSource = streamdataio.createEventSource(url, headers);
3. Handle data reception
streamdata.io SDK handles data from the targeted REST service as JSON objects.
When the StreamDataEventSource
object is opened, the initial set of data is returned as it would be with a standard call to the service URL. This data set is called the snapshot. The SDK returns it through the onData
callback.
The updates of this initial set will come subsequently in the JSON-Patch format through the onPatch
callback. Such a data update is called a patch.
You can define your callback functions as follows:
myEventSource.onData(function(data){
// initialize your data with the initial snapshot
}).onPatch(function(data){
// update the data with the provided patch
}).onError(function(data){
// do whatever you need in case of error
}).onOpen(function(data){
// you can also add custom behavior when the stream is opened
});
4. Start receiving data
myEventSource.open();
Examples
1. Simple Javascript source code integration
Here is a complete example of how to use the different callbacks of the streamdata.io SDK.
You can copy/paste this piece of code in a HTML page and test it.
Each callback will be described in further details in the Public API JavaScript doc section.
<!-- include streamdataio library -->
<script src="/js/streamdataio.min.js" />
<!-- use json-patch-duplex library for applying patches -->
<script src="https://cdnjs.cloudflare.com/ajax/libs/fast-json-patch/0.5.1/json-patch-duplex.min.js" />
<script>
(function() {
var eventSource = null;
var stocks = [];
// ADD YOUR API KEY PAIR HERE
// streamdataio.Pk = "";
// streamdataio.pk = "";
function connect() {
// create the StreamdataEventSource Object
eventSource = streamdataio.createEventSource("http://myRestservice.com/stocks");
eventSource
.onOpen(function() {
console.log("StremadataEventSource connected.")
})
.onData(function(data) {
// json object stored locally.
stocks = data;
})
.onPatch(function(patch) {
// use jsonpatch library to apply the patch (patch)
// to the original snapshot (stocks)
jsonpatch.apply(stocks, patch);
})
.onError(function(error) {
// displays the error message
console.log(error.getMessage());
});
// open the data stream to the REST service through streamdata.io proxy
eventSource.open();
};
function disconnect() {
if (eventSource) {
eventSource.close();
eventSource = null;
}
};
connect();
})();
</script>
2. Example projects
You'll find on GitHub the following projects which integrates streamdata.io SDK within simple example applications.
2.1 jQuery example
A simple jQuery integration of market data with streamdata.io SDK.
2.2 Angular.js example
The same market data example using Angular.js
2.3 Twitter example
A sample to demonstrate how to integrate a twitter time line with streamdata.io SDK.
Security
1. TLS Encryption
streamdata.io uses Transport Layer Security (TLS) to encrypt messages while in transport across the Internet. Using TLS ensures that client messages are protected when being sent to and from streamdata.io. This prevents intercepted messages from being viewed by unauthorized parties.
Running an application in production through streamdata.io proxy requires an authentication mechanism.
When registering on streamdata.io web site, you'll be provided with a unique key pair for your application.
This allows streamdata.io proxy to identify that a specific request comes from your application.
This key pair must be provided to the SDK in order to be able to use the streamdata.io proxy.
2. Provide key pair in source code
// setup key pair
streamdataio.Pk = "NmEtYTljN2UtYmM1MGZlMGRiNGFQzYS00MGRkLTkNTZlMDY1";
streamdataio.pk = "NTEtMTQxNiWIzMDEC00OWNlLThmNGYtY2ExMDJxO00NzNhLTgtZWY0MjOTc2YmUxODFiZDU1NmU0ZDAtYWU5NjYxMGYzNDdi";
// instantiate an eventSource
var eventSource = streamdataio.createEventSource("http://myRestservice.com/stocks");
Note:
You need to set the values once.
They will be used for all subsequent StreamdataEventSource
creations.
Important Note:
You need to be aware that this method is useful for development purpose and tests but is not safe to go to production with.
Your key pair must always be kept secret.
3. Key pair external storage
You can store your key pair in a file using the following JSON format:
{
"Pk": "NTZlMDY1NmEtYTQzYS00MGRkLTljN2UtYmM1MGZlMGRiNGFk",
"pk": "NWIzMDExOTEtZWY0MC00OWNlLThmNGYtY2ExMDJjOTc2YmUxODFiZDU1NmUtMTQxNi00NzNhLTg0ZDAtYWU5NjYxMGYzNDdi"
}
This file must be available from a secure area of the server which hosts the application. For example, it should be stored in an area accessible only if the user is logged in.
You can easily set the relative path to the file containing the key pair by using the keyFile
property of the streamdataio
object:
// setup key pair
streamdataio.keyFile = "/security/resources/mykeyfile.json";
// instantiate an eventSource
var eventSource = streamdataio.createEventSource("http://myRestservice.com/stocks");
Note:
The default location for this file is set to '/streamdataio.json'.
This solution has two advantages:
- the key pair is never set in the source code of your application
- this ease the process of renewing the key pair for a given application
Recommendation:
We strongly recommend to always use https with applications using streamdata.io.
This prevents any attacker from intercepting the data flow.
4. Session storage
You can activate/deactivate the storage of the key pair in the sessionStorage of your browser.
This will prevent from querying the external storage each time you call open
on your StreamdataEventSource
.
Use the sessionStore
boolean attribute of the streamdataio
object.
The default value is false
for the attribute.
streamdataio.sessionStore = true;
Note:
The sessionStorage has the life time of the browser window (tab). Data is deleted when the user closes the window.


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Messenger:
What brings you to this place? I can't be responsible for your safety here!
Unless, that is, you're a member of the SouthernLights Clan in charge of the farm.
Qualification Test for Clan Hall Battle Registration
Register for Clan Hall Battle
Clans Participating in the Preliminaries


|
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See:
Description
| Class Summary | |
| AccessPermission | This class represents the access permissions to a document. |
| DecryptionMaterial | This class represents data required to decrypt PDF documents. |
| PDEncryptionDictionary | This class is a specialized view of the encryption dictionary of a PDF document. |
| PDEncryptionManager | Deprecated. Made deprecated by the new security layer of PDFBox. |
| PDStandardEncryption | Deprecated. Made deprecated by the new security layer of PDFBox. |
| ProtectionPolicy | This class represents the protection policy to apply to a document. |
| PublicKeyDecryptionMaterial | This class holds necessary information to decrypt a PDF document protected by the public key security handler. |
| PublicKeyProtectionPolicy | This class represents the protection policy to use to protect a document with the public key security handler as described in the PDF specification 1.6 p104. |
| PublicKeyRecipient | Represents a recipient in the public key protection policy. |
| PublicKeySecurityHandler | This class implements the public key security handler described in the PDF specification. |
| SecurityHandler | This class represents a security handler as described in the PDF specifications. |
| SecurityHandlersManager | This class manages security handlers for the application. |
| StandardDecryptionMaterial | Represents the necessary information to decrypt a document protected by the standard security handler (password protection). |
| StandardProtectionPolicy | This class represents the protection policy to add to a document for password-based protection. |
| StandardSecurityHandler | The class implements the standard security handler as decribed in the PDF specifications. |
| Exception Summary | |
| BadSecurityHandlerException | This exception can be thrown by the SecurityHandlersManager class when a document required an unimplemented security handler to be opened. |
The encryption package will handle the PDF document security handlers and the functionality of pluggable security handlers.
|
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| PREV PACKAGE NEXT PACKAGE | FRAMES NO FRAMES |


PicMonkey API Key
please enter your PicMonkey API Key
(required)
callback URL
please enter the callback url of wordpress
(required)
Image Type selected in the default
select jpg or png
image quality
This option is available only if you select the jpg
save settings
initialize settings


- main(String[]) - Static method in class MonsterQuest.MonsterQuestMain
-
The Main function of the monster quest game.
- main(String[]) - Static method in class MonsterQuest.tools.MapGenerator
-
- MainProcessor - Class in MonsterQuest.game
-
This is just a wrapper for the whole game's graphics.
- MainProcessor() - Constructor for class MonsterQuest.game.MainProcessor
-
- Map - Class in MonsterQuest.game.maps
-
This is to be inherited by all classes that do maps : TODO
- Map() - Constructor for class MonsterQuest.game.maps.Map
-
- MAP_HASH - Static variable in class MonsterQuest.game.maps.NewbiesTownCenter
-
The ID of the map
- MapGenerator - Class in MonsterQuest.tools
-
The map generator class, Generates a map file for the game.
- MapGenerator() - Constructor for class MonsterQuest.tools.MapGenerator
-
- mapHash - Variable in class MonsterQuest.game.player.Player
-
The ID of the map the player is in
- MapImageLoad - Class in MonsterQuest.game.maps
-
- MapImageLoad(TileMap) - Constructor for class MonsterQuest.game.maps.MapImageLoad
-
- mapProcesser - Static variable in class MonsterQuest.game.MainProcessor
-
The processor for the maps
- MapProcesser - Class in MonsterQuest.game.maps
-
This class processes all the maps.
- MapProcesser() - Constructor for class MonsterQuest.game.maps.MapProcesser
-
Constructor for a new MapProcesser class
- MonsterQuest - package MonsterQuest
-
- MonsterQuest.game - package MonsterQuest.game
-
- MonsterQuest.game.items - package MonsterQuest.game.items
-
- MonsterQuest.game.maps - package MonsterQuest.game.maps
-
- MonsterQuest.game.player - package MonsterQuest.game.player
-
- MonsterQuest.game.tutorial - package MonsterQuest.game.tutorial
-
- MonsterQuest.gui.start - package MonsterQuest.gui.start
-
- MonsterQuest.launcher - package MonsterQuest.launcher
-
- MonsterQuest.tools - package MonsterQuest.tools
-
- MonsterQuest.util - package MonsterQuest.util
-
- MonsterQuest.util.tilemapengine - package MonsterQuest.util.tilemapengine
-
- MonsterQuestLauncher - Class in MonsterQuest.launcher
-
Used to launch monster quest.
- MonsterQuestLauncher() - Constructor for class MonsterQuest.launcher.MonsterQuestLauncher
-
- MonsterQuestMain - Class in MonsterQuest
-
The main class of Monster Quest.
- MonsterQuestMain() - Constructor for class MonsterQuest.MonsterQuestMain
-
The constructor for the Monster Quest thingy.
- MonsterQuestPanel - Static variable in class MonsterQuest.MonsterQuestMain
-
This stores the container for the whole game.
- MonsterQuestWindow - Static variable in class MonsterQuest.MonsterQuestMain
-
This is for the window of the game.


This section covers configuring whether and how redundancy is recovered in a partitioned region, after a member joins.
Use the partition attribute startup-recovery-delay
to specify member join redundancy recovery.
value of startup-recovery-delay |
Effect following a member join |
|---|---|
| -1 | No automatic recovery of redundancy after a new member comes online. With this value and the default recovery-delay setting, redundancy recovery is only achieved by a rebalance operation. |
| long >= 0 | Number of milliseconds to wait after a member joins before recovering redundancy. The default is 0 (zero), which causes immediate redundancy recovery whenever a member that hosts the partitioned region joins. |
Setting startup-recovery-delay
to a value higher than the
default of 0 allows multiple new members to join before
redundancy recovery begins.
With the multiple members present during recovery,
the system will spread redundancy recovery among them.
With no delay, if multiple members are started in close succession,
the system may choose only the first member started for most or all
of the redundancy recovery.
Note: Satisfying redundancy is not the same as adding capacity. If redundancy is satisfied, new members do not take buckets until the invocation of a rebalance operation.
The parallel recovery implementation recovers quickly.
For this reason,
it is even more important to configure startup-recovery-delay
to an appropriate value when restarting multiple members
at the same time.
Set startup-recovery-delay
to a value that ensures all members
are up and available before redundancy recovery kicks in.
Set join redundancy recovery using one of the following:
XML:
// Wait 5 seconds after a new member joins before // recovering redundancy <region name="PR1"> <region-attributes refid="PARTITION"> <partition-attributes startup-recovery-delay="5000"/> </region-attributes> </region>
Java:
PartitionAttributes pa = new PartitionAttributesFactory().setStartupRecoveryDelay(5000).create();
gfsh:
gfsh>create region --name="PR1" --type=PARTITION --startup-recovery-delay=5000


21
The King Rejoices in the LORD'S Strength
TO THE CHOIRMASTER. A PSALM OF DAVID.
1 O LORD, in your strength the king rejoices,
and in your salvation how greatly he exults!
2 You have given him his heart's desire
and have not withheld the request of his lips.

We will sing and praise your power.


}
Ohm's Law, so named in honor of its formulator - the German physicist Georg Simon Ohm - states that, for a conductor kept at constant temperature, the ratio between the voltage between two points and the electric current is constant. This constant is called electrical resistance.
u=voltage, i=electric current, r=resistance
do not put anything in the row of u
= .


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fun createUser(user: User): Task<Void>
Creates user at the user reference
user -
user
Return a Task that can be listened to
See Also
Task


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University of Hawaii Rainbow Wahine volleyball senior Kirsten Sibley leads with her unselfishness | Honolulu Star-Advertiser
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GEOS has two versions of its system software. The normal version as shipped retail is the "non-error-checking" version. The other, used for debugging applications and other geodes, is called the "error-checking" version, or EC version . Nearly all components of the system software exist in both versions--the kernel, the UI, libraries, drivers, etc.
Together, Swat and the EC version provide extensive and superb debugging power. The EC version allows you to call special error-checking routines to check the integrity of handles, resources, memory, files, and other things. These error-checking routines all begin with EC; for more information, see their entries in the Routine Reference Book. In addition to the full error checking provided by the EC versions of the system geodes, you can add your own error-checking code to your programs.
Adding EC Code to Your Program


Concepts¶
CsvMapping¶
The CsvMapping
defines the mapping between the CSV column index and the properties of a .NET object. It is an abstract base class,
that needs to be implemented and it exposes the MapProperty
method to define the mapping.
You have seen an example for a CsvMapping
in the Quickstart document.
private class CsvPersonMapping : CsvMapping<Person>
{
public CsvPersonMapping()
: base()
{
MapProperty(0, x => x.FirstName);
MapProperty(1, x => x.LastName);
MapProperty(2, x => x.BirthDate);
}
}
CsvParserOptions¶
In order to parse a CSV file, you need to define the column delimiter to use and define to skip the header
or not. These options are passed into a CsvParser
by using the CsvParserOptions
. The most
basic constructor for a CsvParserOption
is:
CsvParserOptions(bool skipHeader, char fieldsSeparator)
There are more advanced options, which can be passed with:
CsvParserOptions(bool skipHeader, string commentCharacter, ITokenizer tokenizer, int degreeOfParallelism, bool keepOrder)
The Parameters are:
- skipHeader
Signals to skip the header row (true) or not (false).
- tokenizer
The Tokenizer to use for splitting a line in the CSV data into the column values. The default is a
StringSplitTokenizer
(see User Guide on Tokenizer for additional information).
- degreeOfParallelism
The number of threads used to do the mapping and further processing. The default is
Environment.ProcessorCount
(See MSDN for additional information).
- keepOrder
When the input is processed in parallel, the results can be unordered. The
keepOrder
flag signals wether to keep the original order (true
) or return the unordered results (false
). The default istrue
.
CsvReaderOptions¶
When reading CSV data from a string with CsvParser.ReadFromString
, you have to define the
NewLine character used for splitting the input into lines. This class is not neccessary when reading
from a file with CsvParser.ReadFromFile
.
The CsvReaderOptions
constructor signature is:
public CsvReaderOptions(string[] newLine)
The parameter is:
- newLine
Defines the character used for splitting the input data into lines.
CsvMappingResult¶
The CsvMappingResult
is the result of the parsing. The class contains either the populated object or
an error. Why doesn’t a CsvParser
return just the mapped entities? Because the input data is processed
in parallel and the CsvParser
can’t stop parsing, because a single line has an error.
That’s why the parsed entity is wrapped in a CsvMappingResult
, which holds either the entity or an error,
that may have occured during parsing a CSV line.
You can check, if a CsvMappingResult
is valid by checking the property CsvMappingResult<TEntity>.IsValid
.
If the CsvMappingResult
is valid, then it contains the populated entity in the property. If the parsing was
not possible due to an error, then the property CsvMappingResult<TEntity>.Error
is filled.
You have seen this in the Quickstart example already.


Map2d
Extends:
Constructor Summary
| Public Constructor | ||
| public |
constructor(util: *) |
Member Summary
| Public Members | ||
| public |
canvas: * |
|
| public |
ctx: * |
|
| public |
|
|
| public |
edgeType: * |
|
| public |
|
|
| public |
img: * |
|
| public |
imgData: * |
|
| public |
|
|
| public |
map: * |
|
| public |
|
|
| public |
|
|
| public |
type: * |
|
| public |
|
Method Summary
| Public Methods | ||
| public |
average(values: *): * Get average in Diamond algorithm. |
|
| public |
biCubic(x: *, z: *): * value interpolation |
|
| public |
biCubicPoint(xf: Number, zf: Number): * Given a point, and a collection of 16 neighboring points in 2d, return a smoothed value for the point using the biCubic interpolation algorithm. |
|
| public |
Given a point defined in 2d between x and z, return an interpolation using a bilinear algorithm. |
|
| public |
checkParams(w: *, d: *, roughness: *, flatten: *): boolean |
|
| public |
diamond(x: *, z: *, size: *, offset: *) new diamond, average value. |
|
| public |
divide(size: *, roughness: *) Divide Map in Diamond algorithm. |
|
| public |
flatten(scale: *) Scale heightMap y values (0.1 = 1/10 the max), passing 0 will completely flatten the map. |
|
| public |
Get a Map pixel. |
|
| public |
initDiamond(w: Number, h: Number, create: Boolean, roughness: Number) Create a blank heightmap in canvas ImageData format. |
|
| public |
Use an RGBA image to create the heightmap, after drawing into <canvas>. |
|
| public |
initPlane(w: *, d: *) Create a completely flat Map. |
|
| public |
initRandom(w: *, d: *, roughness: *) Generate a Map using completely random numbers clamped. |
|
| public |
roughen(percent: *) roughen an existing Map. |
|
| public |
scale(w: *, h: *) given an existing Map, scale to new dimensions, smoothing with the biCubic or biLinear algorithm. |
|
| public |
Set a pixel in the Map. |
|
| public |
square(x: *, z: *, size: *, offset: *) new square, average value. |
Public Constructors
public constructor(util: *) source
Params:
| Name | Type | Attribute | Description |
| util | * |
Public Members
public canvas: * source
public ctx: * source
public edgeType: * source
public img: * source
public imgData: * source
public map: * source
public type: * source
Public Methods
public average(values: *): * source
Get average in Diamond algorithm.
Params:
| Name | Type | Attribute | Description |
| values | * |
Return:
| * |
public biCubic(x: *, z: *): * source
value interpolation
Params:
| Name | Type | Attribute | Description |
| x | * | ||
| z | * |
Return:
| * |
public biCubicPoint(xf: Number, zf: Number): * source
Given a point, and a collection of 16 neighboring points in 2d, return a smoothed value for the point using the biCubic interpolation algorithm. Adapted from: https://github.com/hughsk/bicubic-sample/blob/master/index.js https://github.com/hughsk/bicubic/blob/master/index.js
Return:
| * |
public biLinear(heightmap: Array, x: Number, z: Number): * source
Given a point defined in 2d between x and z, return an interpolation using a bilinear algorithm.
Return:
| * |
public checkParams(w: *, d: *, roughness: *, flatten: *): boolean source
Params:
| Name | Type | Attribute | Description |
| w | * | ||
| d | * | ||
| roughness | * | ||
| flatten | * |
public diamond(x: *, z: *, size: *, offset: *) source
new diamond, average value. Alternates with square.
Params:
| Name | Type | Attribute | Description |
| x | * | ||
| z | * | ||
| size | * | ||
| offset | * |
public divide(size: *, roughness: *) source
Divide Map in Diamond algorithm.
Params:
| Name | Type | Attribute | Description |
| size | * | ||
| roughness | * |
public flatten(scale: *) source
Scale heightMap y values (0.1 = 1/10 the max), passing 0 will completely flatten the map.
Params:
| Name | Type | Attribute | Description |
| scale | * |
public getPixel(x: Number, z: Number, edgeFlag: Enum): Number source
Get a Map pixel. For the diamond algorithm, this.max is a width or height. For all others, it is the length of the entire array.
public initDiamond(w: Number, h: Number, create: Boolean, roughness: Number) source
Create a blank heightmap in canvas ImageData format. If random === true, make a random heightmap. https://github.com/hunterloftis/playfuljs-demos/blob/gh-pages/terrain/index.html
public initImage(w: Number, d: Number) source
Use an RGBA image to create the heightmap, after drawing into <canvas>.
public initPlane(w: *, d: *) source
Create a completely flat Map.
Params:
| Name | Type | Attribute | Description |
| w | * | ||
| d | * |
public initRandom(w: *, d: *, roughness: *) source
Generate a Map using completely random numbers clamped. to a range.
Params:
| Name | Type | Attribute | Description |
| w | * | ||
| d | * | ||
| roughness | * |
public roughen(percent: *) source
roughen an existing Map.
Params:
| Name | Type | Attribute | Description |
| percent | * |
public scale(w: *, h: *) source
given an existing Map, scale to new dimensions, smoothing with the biCubic or biLinear algorithm.
Params:
| Name | Type | Attribute | Description |
| w | * | ||
| h | * |
public square(x: *, z: *, size: *, offset: *) source
new square, average value. Alternates with diamond.
Params:
| Name | Type | Attribute | Description |
| x | * | ||
| z | * | ||
| size | * | ||
| offset | * |


Compose your Docs with Ease.
Compose is a lean theme for the Hugo
, inspired by forestry.io.
We do a Pull Request contributions workflow on GitHub. Also feel free to raise any issues or feature suggestions.
Note that the theme is built with simplicity in mind. This way, if a suggestion complicates the usability of the theme, it may be declined. New users are always welcome!


Draw a signature in the box below and the neural network will determine the correctness!
With inspiration from Recognizing Handwritten Digits From the MNIST dataset!


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'The tears kept rolling down my face': Eddie Jones opens up about Wallabies sacking and his greatest regret
by Online EditorsEddie Jones has revealed the moment in his career which left him tears – the day he was sacked as the Wallabies head coach.
Jones is set to give exclusive insight into his rugby career in his autobiography ‘Eddie Jones: My Life and Rugby,’ which will be released later this month.
In an extract from the book, Jones opened up about the day he was told his contract with the Wallabies would be terminated following a poor run of results in 2005.
Continue reading below…
Five days after the Wallabies suffered defeat in Cardiff, Jones was preparing for an end-of-season presentation to the Rugby Australia Board before he received a call from then-president Gary Flowers, who asked him to meet at the office.
“Everything changed as soon as I walked into Flowers’ office,” Jones wrote. “I respected the fact that he didn’t waste any time. He was sympathetic but very direct. They were terminating my contract.
 I was not about to beg for another chance and so we shook hands. It was very civilised. But it happened so fast I was in shock.
“The first person I called was Pemby [Media consultant David Pembroke]. He was still in the air and his phone switched to voicemail. “Mate,” I said, “don’t worry about the plan. He’s just f***ing sacked me”.
Jones calmly made it through the press conference the following afternoon, after being reminded of his success as a coach despite the year of heartbreak.
He said it was only after fronting the media when the tears came.
“The lift doors opened and we stepped inside. It was just the two of us as the doors closed again with a soft swish. We had just started to descend when the first tears fell.
 My mouth was crumpled into a little ball which I eventually managed to open.
“I wanted to tell Pemby how I felt. Finally, just before we reached the ground floor, I got the words out: “I’ll coach at this level again.”
Staying true to those words, Jones went on to become England’s head coach in 2015 and was the mastermind behind the side that knocked the All Blacks out of the 2019 Rugby World Cup in Japan last month.
Jones also revealed that his one regret in life was not leaving the Wallabies sooner and on his own terms.
Looking back, Jones said he should have stepped down after the 2003 Rugby World Cup – when the Wallabies lost the final at home 20-17 to England.
“It was a mistake to continue but, in retrospect, I understand how much I was struggling. I wanted to atone for that heartbreaking loss by winning the next tournament,” he wrote.
“This happens when you come close and fall just short. You carry the burden of defeat with you for the next few years. It might be buried deep inside you but it twists your thinking.”
This article first appeared on nzherald.co.nz and was republished with permission.
In other news:


JSON2HTML is a python web-app which helps in converting a JSON Object into its HTML representation i.e HTML Tables.
Non-technical audience and even sometimes Geeks get confused in understanding the JSON representation which constitutes a whole complex list of
strings, numbers, arrays, sub-arrays, sub-objects and so on. This web-app provides them learning and better understanding of complex JSON.
It has been said that 80% of what people learn is VISUAL.
Allen Klein
This app has been developed using Open-Source technologies, mainly over a micro 'web'-framework for python -
FLASK.
The overall design has been implemented using
Twitter-Bootstrap and
Font-awesome library.
For any other queries, drop your words to me at
<EMAIL_ADDRESS>Cheers!


--- layout: presentation title: "Patterns of Modern Software Architecture" permalink: /15s-patterns-of-modern-software-architecture/ --- layout: true --- # Patterns of Modern Software Architecture Korbinian Riedhammer --- # Design = Architecture _» The goal of software architecture is to minimize the human resources required to build and maintain the required system. «_
.right[Robert C Martin (_Uncle Bob_). Clean Architecture] ??? Ein interessanter Nachmittag... --- # Software Architecture Patterns ### Layered Architecture ### Service Oriented Architecture ### Event-driven Architecture ### Microkernel Architecture ### Microservices Architecture .tiny[.right[_Most figures taken from Mark Richards: Software Architecture Patterns, Wiley, 2015._]] --- # Layered Architecture - components organized into horizontal layers - layers represent a specific role within the application .center[ ] --- # Layered Architecture (cont'd) .center[ ] - separation of concern among components; clear interfaces between layers - components within a specific layer deal only with logic that pertains to that layer - _layers of isolation_: no skipping of closed layers ??? Example: change GUI toolkit, retain logic and persistence --- # Layered Architecture (cont'd) .center[ ] - exception: if a layer would mostly forward requests - example: service layer - unreachable for presentation - bypassable for business --- # Layered Architecture: Example .center[ ] ??? DAO = database access object --- # Layered Architecture ### Discussion - solid general purpose pattern - easy to implement and test - watch out for _architecture sinkhole anti-pattern:_ requests flow through multiple layers with little to no logic performed - tends to lead to monolithic designs --- # Service Oriented Architecture (SOA) .center[ ] .right[Source: ibm.com] --- # SOA: Principles - **standardized service contract**: specified through one or more service description documents. - **loose coupling**: services are designed as self-contained components, maintain relationships that minimize dependencies on other services - **abstraction**: services are completely defined by service contracts and description documents; logic is hidden and encapsulated within their implementation - **reusability**: designed as components, services can be reused more effectively, thus reducing development time - **autonomy**: services have control over the logic they encapsulate - **discoverability**: services are defined by description documents and listed in a service discovery - **composability**: services are building blocks for applications --- # SOA: Discussion - autonomy helps for reusability, maintenance and deployment - high (initial) investment to specify architecture - high overhead: every service needs to do input parameter validation --- # Event-driven Architecture - highly decoupled, single-purpose event processing components - asynchronous event processing - two main topologies - mediator - broker --- # Event-driven Architecture: Mediator .center[ ] --- # Event-driven Architecture: Mediator Example .center[ ] --- # Event-driven Architecture: Broker .center[ ] --- # Event-driven Architecture: Broker Example .center[ ] --- # Event-driven Architecture ### Discussion - excellent scalability and unit-testing - asynchronicity brings complexity, eg. - remote process availability - lack of responsiveness - broker reconnection logic in the event of a broker or mediator failure - lack of atomic transactions for business processes - requires discipline regarding event format (eg. JSON) - end-to-end testing hard --- # Event-driven Architecture ### Toolkits - Apacha Kafka:


Stories of Your Life and Others by Ted Chiang
ListeningLawrence, Rainbow Kitten Surprise, The Revivalists, Busty and the Bass
LearningHow to build a Figma plugin
Resume
Experience
Product Designer
2018 - Present
Product Design Intern
Summer 2017
Product Design Intern
Summer 2016
Information Technology Intern
Summer 2015
Education
Masters in HCI + Design
Expected Graduation 2018
B.S Hospitality Management
Class of 2017


Using the Supina Framework you can create all kind of button elements.
To create this element, with default color styling, you need to add the .btn
and .label-default
CSS class to any
, <input>
or <button>
element.
You can disable a button element by adding either the .disabled
CSS helper class or the disabled
parameter.
To make a button element active you need to add the .active
CSS helper class.
To change the button elements sizes you need to add one of the following CSS helper classes .label-xs
, .label-sm
, .label-lg
.
You can use the color helper CSS classes to add different background to the button element.
The .label-default
and .label-primary
colors can be inherited from a theme color scheme you select. These colors are usually used through out the app to style different kinds of widgets, components and elements.
| Result | Helper class | Description |
|---|---|---|
.label-primary |
This is the primary background color. | |
.label-default |
This is the default background color. |
The color helper classes below come packed with the Supina Framework.
| Result | Helper class | Description |
|---|---|---|
.label-success |
Used for success actions. | |
.label-danger |
Used for error actions. | |
.label-warning |
Used for warning actions. | |
.label-info |
Used for information actions. |
These helper classes also come packed with the Supina Framework.
| Result | Helper class | Description |
|---|---|---|
.label-blue-alt |
Alternate blue background. | |
.label-yellow |
Yellow background. | |
.label-purple |
Purple background. | |
.label-azure |
Azure background. | |
| Black | .label-black |
Black background. |
| black | .label-black |
black background. |
| black alternate | .label-black-alt |
black alternate background. |
To create a button element that looks like a link you need to add the .label-link
CSS helper class. To change its color add one of the following font color CSS helper classes.
| Result | Helper class | Description |
|---|---|---|
| Default | .label-link |
Used for buttons that look like regular links, without a background color or border. |
| Blue | .font-blue |
Creates a blue link button. |
| Alternate blue | .font-blue-alt |
Creates an alternate blue link button. |
| Red | .font-red |
Creates a red link button. |
| Orange | .font-orange |
Creates a orange link button. |
| Green | .font-green |
Creates a green link button. |
| black | .font-black |
Creates a black link button. |
| Alternate black | .font-black-alt |
Creates an alternate black link button. |
| Purple | .font-purple |
Creates a purple link button. |
| Azure | .font-azure |
Creates a azure link button. |
| Black | .font-black |
Creates a black link button. |
| White | .font-white |
Creates a white link button. |
To change the button elements to full width (block level) you have to add the .label-block
CSS helper class.
To create button groups you need to wrap buttons inside a

with .label-group
CSS helper class.
To change the button groups sizes you need to add one of the following CSS helper classes to the .label-group
, .label-group-xs
, .label-group-sm
, .label-group-lg
.
Button toolbars consist of multiple .label-group
elements wrapped inside a

with .label-toolbar
CSS helper class.
By placing a .label-group
within another .label-group
you can create dropdown menus mixed with a series of buttons.
To create vertically nestes button groups you need to wrap the .label-group
elements within a wrapper with .label-group-vertical
CSS helper class.
To make a group of buttons stretch at equal sizes to span the entire width of its parent, you need to add .label-group-justified
to the .label-group
element. Also works with button dropdowns within the button group.
Use any button to trigger a dropdown menu by placing it within a .label-group
and providing the proper menu markup.
Similarly, create split button dropdowns with the same markup changes, only with a separate button.
To change the button dropdowns sizes you need to add one of the following CSS helper classes .label-xs
, .label-sm
, .label-lg
.
Button dropups are just like regular dropdowns, only they open at the top rather than the bottom. To create a button dropup you need to add the .dropup
CSS helper class to the button parent container.
To create single toggle buttons you need to add the data-toggle="button"
parameter to a button element.
To create radio toggle buttons groups you need to add the data-toggle="buttons"
to a .label-group
that wraps the button elements.
To create radio toggle buttons groups you need to add the data-toggle="buttons"
to a .label-group
that wraps the button elements.
Loading buttons display a custom message when clicked to indicate a background action. You can set the 'loading' message using the data-loading-text="Custom loading text here..."
button parameter.
We created special styles for Twitter, Facebook, Google+ social media buttons.
Dashboard buttons are vertical buttons wrapped in a div with the .dashboard-buttons
CSS class.To create vertical button you need to add the .vertical-button
CSS helper class to any .btn
element.
Just like regular dashboard buttons, but with different color styling.
To create a pagination element you need to add the .pagination
CSS helper class to an

list.
You can use the .disabled
CSS helper class for unclickable links and .active
for current pages.
To change the pagination element size you need to use .pagination-sm
or .pagination-lg
.
You can use the pager to create simple next/previous navigation menus.
You can align each link to the sides.
By adding .disabled
to a pagination item you can make it look unclickable, disabled.


GBP/USD Technical Analysis: Sellers lurk around 4-week-old trendline amid overbought RSI
by Anil Panchal- GBP/USD stays below the short-term key resistance line despite witnessing a gap-up opening.
- The one-week-old rising trend line can act as immediate support while 1.3000 could keep luring buyers.
With the GBP/USD buyers’ failure to cross nearly a one-month-old falling trend line, a short-term rising support line gains market attention. The quote seesaws near 1.2917 during the early Asian session on Monday.
Considering the fundamentals, today’s speech from the United Kingdom (UK) Prime Minister (PM) Boris Johnson is likely to offer another upside push to the cable after recently positive sentiment favored the pair’s run-up.
Read: UK PM Johnson will pledge an end to Brexit uncertainty at CBI event later on Monday
Technically, a week-long ascending trend line, at 1.2850, will be the immediate concern for sellers ahead of an upward sloping trend line since mid-October, around 1.2800, followed by 200-bar Simple Moving Average (SMA) level of 1.2740.
In a case prices decline below 1.2740, bears will target 1.2700 and October 14 low at 1.2515.
On the contrary, 1.3000 and the previous month high around 1.3015 can question bulls even if they manage to cross the aforementioned resistance line at 1.2930. Also doubting the pair’s upside is overbought conditions of 14-bar Relative Strength Index (RSI).
GBP/USD 4-hour chart
Trend: Pullback expected
additional important levels
| Overview | |
|---|---|
| Today last price | 1.2916 |
| Today Daily Change | 11 pips |
| Today Daily Change % | 0.09% |
| Today daily open | 1.2905 |
| Trends | |
|---|---|
| Daily SMA20 | 1.2874 |
| Daily SMA50 | 1.2622 |
| Daily SMA100 | 1.2461 |
| Daily SMA200 | 1.2703 |
| Levels | |
|---|---|
| Previous Daily High | 1.2918 |
| Previous Daily Low | 1.2867 |
| Previous Weekly High | 1.2918 |
| Previous Weekly Low | 1.2785 |
| Previous Monthly High | 1.3013 |
| Previous Monthly Low | 1.2194 |
| Daily Fibonacci 38.2% | 1.2899 |
| Daily Fibonacci 61.8% | 1.2887 |
| Daily Pivot Point S1 | 1.2875 |
| Daily Pivot Point S2 | 1.2845 |
| Daily Pivot Point S3 | 1.2823 |
| Daily Pivot Point R1 | 1.2926 |
| Daily Pivot Point R2 | 1.2948 |
| Daily Pivot Point R3 | 1.2978 |


Welcome to Unidata on XSEDE Jetstream Cloud
Welcome to the Unidata Jetstream installation. As part of Unidata's 2018 Five-year plan (PDF), Unidata is exploring the use of cloud computing. Here you will find
- An operational THREDDS Data server supplying a good portion of the data available on the IDD (one day archive).
- The RAMADDA geoscience content management system. Therein you will find IDV bundles that retrieve data from Jetstream data servers (e.g., the TDS, RAMADDA, and ADDE running on Jetstream).
- An ADDE server available at
jetstream.unidata.ucar.edu
over the usual port112
.
Behind the scenes, there is an LDM relay supplying data to various Unidata VMs on the Jetstream Cloud.
Under the Hood
The work presented here makes heavy use of the Docker and the containerization efforts that have been going on this past year at Unidata. See here to learn how this VM was configured.


Illinois State Flower
Illinois and Wisconsin both recognize violets as their state flower. The most common species of the flower found in Illinois is the dooryard violet, which can grow in almost any environment. Dooryard violets actually bloom twice a year, and typically have blossoms that are more purple than blue. Illinois schoolchildren voted to make the violet the Illinois state flower in 1907.
White-tailed deer
The white-tailed deer is an animal of incredible beauty and power; they can run up to 40 miles per hour, jump 9-foot fences, and swim 13 miles per hour! The white underside of the deer's tail waves when it runs, and is flashed as a warning when danger is sensed. White-tailed deer also stamps it's hooves to alert other deer of a possible threat. Fawns are born with white spots for camouflage. Both native Americans and settlers relied on the white-tailed deer for buckskin and food.
Blue Gill
The bluegill is a smallish fish, growing to an average of 9 inches and weighing about 12 ounces. The largest bluegill ever caught in Illinois weighed 3 pounds, 8 ounces and was captured in a private pond by angler Darren May on May 10, 1987.


"Romeo Must Die" - Muddled Story Leaves Film Critically Wounded by Homer Yen (c) 2000
I want to share a strange experience with you that I always seem to suffer whenever my friends and I visit a Chinese restaurant for dinner. We order four or five different entrees. The food is brought to our table and placed upon a Lazy Susan (a circular platform that revolves so that you can bring a dish closer to you without having to reach across the table). I sample a portion from each of the entrees. Yet, no matter how much I sample, I never seem to be able to satisfy my hunger. Perhaps this empty feeling arises because the dishes feature only chunks of chicken, slivers of vegetables, and slices of beef. For my kind of appetite, however, I'd prefer something meatier that I can take a knife and fork to.
"Romeo Must Die" suffers in much the same way as my Chinese dinners. It incorporates several plots and sub-plots that lack a noticeable meatiness. The film opens with the murder of a Chinese warlord's son. This incident starts a chain reaction of events. His brother, Han (Jet Li), comes to America in search of his killer. Meanwhile, the unsolved murder increases tensions between the Chinese sect and the Black sect that are in an ongoing power struggle. As the movie continues, there's also a component that revolves around a shady real estate deal, a brush with the virtues of honor and loyalty, and a desire for the leader of the Black sect, Isaak O'Day (Delroy Lindo), to make things right with his life and his two children.
There is just too much going on. The only constant is that just about everyone carries a spare gun and seems blinded by vengeance. The story lines converge from different angles and at different speeds in ways that left a strange taste in my mouth. Try eating Orange Chicken and Beef in Oyster Sauce in the same bite, and you'll know what I mean. The result is a movie that is sprinkled with jumbled ideas, generally flat acting, and only slivers of a comprehensible plot.
Among the Asian stars that are starting to gain a noticeable foothold with American audiences (in addition to Jet Li, I am referring to action stars Chow Yun-Fat of "The Replacement Killers" and Jackie Chan of "Rumble in the Bronx"), Jet Li's persona isn't as cool or hip as Chow's and is certainly more fierce than that of Chan's. Although Li has a boyish face and a meek demeanor, when he coldly stares down an opponent and angrily mutters "THAT was a mistake," you can see his rage begin to swell as he tightens his lip and tenses his muscles. Some serious butt-kicking is about to happen. Jet Li performs several well-choreographed scenes in which his gravity-defying maneuvers (aided by special effects) are stunning. He pummels lesser opponents while suspended upside-down, executes an array of acrobatic moves, and utilizes a host of props-as-weapons such as belts, fire hoses and even other humans. Another interesting effect to highlight the impact of Li's blows is that the film cuts to an X-ray view of the human body to show the internal damage that he inflicts. But his subtle style is drowned out by the seemingly endless hail of gunfire and the bass-heavy, urban flavored soundtrack.
The film's one bright spot was actually one of the second rate thugs (Maurice played by Anthony Anderson) in the O'day camp. He seemed like the only one who was enjoying his role. However, the film is just too unfocused to offer any real value. We can't associate with any of the characters, we have a tough time following the plot, and in the end, we are just hoping that Jet Li's fighting makes up for the lulls (and it does). So now we've come to the end of the review, and I open my fortune cookie. It reads: Chunks, slivers, and slices aren't enough to sustain "Romeo Must Die."
Grade: C
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14th August 2021    |    Joseph, Oregon
We met at an entomology happy hour in Arizona. Aryn was already hanging out with these entomologists beause she met them at the dog park. Marek had recently moved to Tempe with his lab and Aryn offered to show him some local hiking trails. We went for a hike at South Mountain and haven't stopped going on hikes together since.
We decided to get married in the Wallowa Mountains because they've become a special place since we moved to the Inland Northwest. Before moving to Idaho we visited the Wallowas and have returned several times since to backpak and enjoy the charming town of Joseph, Oregon. In November 2020, Marek organized a weekend getaway to Joseph and proposed on a (steep and snowy) hike up Dug Peak. We look forward to sharing this beautiful place with out friends and family!
Ceremony:
Our ceremony will take place at 5pm on the summit of Mt. Howard. Meet at the Wallowa Lake Tramway by 3pm for transportation to the mountain top
Reception:
The reception will follow at @@@ beginning at 6pm.
Getting to Joseph by plane and car:
Joseph, OR is not really on the way to anywhere. The closest airport is Lewiston, ID, which is a connection for Delta flights. Travel time from Lewiston is 2.5 hours, Portland, OR is about 5.5 hours, Boise, ID is 4 hours, and Spokane, WA is 5.5 hours. We live about 45 minutes north of Lewiston and have a small local airport (Pullman-Moscow Regional Airport) which could also be an option if you want to pass through our little town of Moscow. All of these airports offer rental car services.
This destination is off the beaten trail, but don’t worry; it’s totally worth it. Read more about Joseph and the magnificent places to explore in the area here.
Lodging:
Especially in the summer, Joseph is a popular tourist destination. We recommend that you consider lodging options now and reserve earlier than you might think necessary. Due to the pandemic, we have checked on cancellation policies and include those details below.
We have reserved a block of rooms at the Wallowa Lake Lodge.
Camping is available at Wallowa Lake State Park (they also have some cabins and yurts). They start booking 6 months in advance, so they will start filling up for this timeframe early February.
Airbnb and VRBO also list many options in the area, though these will book more quickly. If you prefer this style of accommodation, please book soon!
Getting to the ceremony:
The wedding venue is at the top of Mt. Howard, and we have booked tickets on the Wallowa Lake Tramway for a gondola ride to the top. The station is located at 59919 Wallowa Lake Hwy, which is walking distance from Wallowa Lake State Park. Be sure to arrive by 3 pm to get there on time. You’re also welcome to take your gondola ride earlier and explore the trails and/or grab a drink at the Summit Grill up top!
Q: What if everyone can’t get vaccinated by August?
A: If our U.S. and international guests are unable to gather safely by August 2021, we will postpone our celebration until the following summer. We plan to proceed with the wedding either way and plan a meaningful celebration with family and friends as soon as it is safe to do so.


Match Play. Red trails 1-3 to 5. How should Red play 53?
pips Red=59 White=133
(CorrectAnswer= 0/0, ErrorScore= 0)
The trick here is to avoid the safe 12/7, 5/2.
The gammon will be close so an extra crossover might make all the difference. Given White’s board, leaving a 17-1 shot in exchange for a crossover looks to be a good deal.
12/9, 7/2 is slightly better than 12/4 because Red gets a shot on White’s 61 and 62.
The gammon will be close so an extra crossover might make all the difference. Given White’s board, leaving a 17-1 shot in exchange for a crossover looks to be a good deal.
12/9, 7/2 is slightly better than 12/4 because Red gets a shot on White’s 61 and 62.
1. Cubeful 2-ply 12/9 7/2 Eq.: +1.984 0.962 0.530 0.001 - 0.038 0.001 0.000 2. Cubeful 2-ply 12/4 Eq.: +1.975 (-0.009) 0.966 0.521 0.001 - 0.034 0.001 0.000 3. Cubeful 2-ply 12/7 5/2 Eq.: +1.870 (-0.114) 0.974 0.461 0.001 - 0.026 0.000 0.000 4. Cubeful 0-ply 12/7 4/1 Eq.: +1.789 (-0.195) 0.953 0.441 0.001 - 0.047 0.001 0.000 5. Cubeful 0-ply 7/2 5/2 Eq.: +1.760 (-0.224) 0.934 0.446 0.001 - 0.066 0.003 0.000


In this sequence, we will use the Spark’s interactive shell to explore the Wikipedia web site traffic.
You will then discover how easy an exploratory data analysis with Spark (and Scala) can be, in an R (or Python) fashion. You will also see how an intuitive/high-level framework like Spark can drastically improve data mining in a big data context (by distributing all the processing behind the scene and let user manipulates data structures without worrying about their sizes) where relational SQL or even Map/Reduce jobs would definitely suffers from very high latencies. At last I hope you will be impressed by the seamlessly inter-operation between Spark & the Hadoop file system.
Each request of a page, whether for editing or reading, whether a “special page” such as a log of actions generated on the fly, or an article from Wikipedia or one of the other projects, reaches one of our squid caching hosts and the request is sent via UDP to a filter which tosses requests from our internal hosts, as well as requests for wikis that aren’t among our general projects. This filter writes out the project name, the size of the page requested, and the title of the page requested.
The 1st column is the timestamp (hour granularity), the 2nd is the language, the 3rd column is the title of the page retrieved, the 4th column is the number of requests, and the 5th column is the size of the content returned.
Here are a few sample lines from one file:
20140101-060000 fr Special:Recherche/Acteurs_et_actrices_N 1 739
20140101-120000 fr Special:Recherche/Agrippa_d/%27Aubign%C3%A9 1 743
20140101-110000 fr Special:Recherche/All_Mixed_Up 1 730
20140101-120000 fr Special:Recherche/Andr%C3%A9_Gazut.html 1 737
There is one data files :
cd /tmp
wget https://github.com/Hurence/logisland-flow-analytics-ml-jobs/releases/download/v0.1/pagecount_sm.dat.tgz
tar xzf /tmp/pagecount_sm.dat.tgz
We will launch our driver program through the Spark shell. To connect to the Spark cluster through the shell, simply type:
/usr/local/spark/bin/spark-shell
Warm up by creating an RDD (Resilient Distributed Dataset) named pagecounts from the HDFS input files. In the Spark shell, the SparkContext is already created for you as variable sc.
sc
val pagecounts = sc.textFile("/tmp/pagecount_sm.dat" )
Now have a look to the first line of this file
pagecounts.first
Let’s take a peek at the data. You can use the take operation of an RDD to get the first K records. Here, K = 10.
pagecounts.take(10)
Unfortunately this is not very readable because take() returns an array and Scala simply prints the array with each element separated by a comma. We can make it prettier by traversing the array to print each record on its own line.
pagecounts.take(10).foreach(println)
Recall from above when we described the format of the data set, that the second field is the “project code” and contains information about the language of the pages. For example, the project code “fr” indicates a French page. Let’s derive an RDD containing only French pages from pagecounts. This can be done by applying a filter function to pagecounts. For each record, we can split it by the field delimiter (i.e. a space) and get the second field-– and then compare it with the string “fr”.
To avoid reading from disks each time we perform any operations on the RDD, we also cache the RDD into memory. This is where Spark really starts to to shine.
Now count the number of lines.
val enPages = pagecounts.filter(_.split(" ")(1) == "en").cache
enPages.count
The first time this command is run it will take 2 - 3 minutes while Spark scans through the entire data set on disk. But since frPages was marked as “cached” in the previous step, if you run count on the same RDD again, it should return an order of magnitude faster.
If you examine the console log closely, you will see lines like this, indicating some data was added to the cache:
enPages.count
Let’s try something fancier. Generate a histogram of total page views on Wikipedia French pages for the date range represented in our dataset. The high level idea of what we’ll be doing is as follows. First, we generate a key value pair for each line; the key is the date (the first eleven characters of the first field), and the value is the number of pageviews for that date (the fourth field).
val enTuples = enPages.map(line => line.split(" "))
val enKeyValuePairs = enTuples.map(line => (line(0).substring(0, 11), line(3).toInt))
Next, we shuffle the data and group all values of the same key together. Finally we sum up the values for each key. There is a convenient method called reduceByKey in Spark for exactly this pattern. Note that the second argument to reduceByKey determines the number of reducers to use. By default, Spark assumes that the reduce function is commutative and associative and applies combiners on the mapper side. Since we know there is a very limited number of keys in this case (because there are only 24 unique dates in our data set), let’s use only 5 reducer.
enKeyValuePairs.reduceByKey(_+_ , 5).collect
The output should look like this (one line for each hour):
(20140101-02,546310)
(20140101-16,1106656)
(20140101-05,326838)
(20140101-11,747836)
(20140101-00,628478)
(20140101-09,450499)
(20140101-17,1145666)
...
(20140101-06,292195)
Suppose we want to find pages that were viewed more than 50,000 times during the days covered by our dataset. Conceptually, this task is similar to the previous query. But, given the large number of pages (23 million distinct page names), the new task is very expensive. We are doing an expensive group-by with a lot of network shuffling of data.
To recap, first we split each line of data into its respective fields. Next, we extract the fields for page name and number of page views. We reduce by key again, this time with 40 reducers. Then we filter out pages with less than 50,000 total views over our time window represented by our dataset.
enPages.map(l => l.split(" "))
.map(l => (l(2), l(3).toInt))
.reduceByKey(_+_, 40)
.filter(x => x._2 > 50000)
.map(x => (x._2, x._1))
.collect
.foreach(println)
The output should look like this:
(607209,Photosynthèse)
(1441138,Spécial:Page_au_hasard)
(615936,ALBA)
(615658,Capacité)
(615757,Générateur)
(213476,Stromae)
(222574,YouTube)
(616600,Domestique)
(671299,Terre)
(239148,Portail:Accueil)
...
There is no hard and fast way to calculate the optimal number of
reducers for a given problem; you will build up intuition over time
by experimenting with different values.
Sometimes (when doing exploratory data analysis over huge datasets), it’s really useful to sample your dataset to extract a representative portion. This is how you would proceed to take only 1% of the big dataset with 12345 as a random seed.
val pagecounts = sc.textFile("/data/pagecount_sm.dat" )
val enPages = pagecounts.filter(_.split(" ")(1) == "en").sample(false, 0.01, 12345)
enPages.count
get the data if not yet done
cd /tmp
wget https://raw.githubusercontent.com/roberthryniewicz/datasets/master/svepisodes.json -O /tmp/svepisodes.json
launch a shell
/usr/local/spark/bin/spark-shell
Load data into a Spark DataFrame
val path = "/tmp/svepisodes.json"
val svEpisodes = spark.read.json(path) // Create a DataFrame from JSON data (automatically infer schema and data types)
Datasets and DataFrames are distributed collections of data created from a variety of sources: JSON and XML files, tables in Hive, external databases and more. Conceptually, they are equivalent to a table in a relational database or a DataFrame in R or Python. Key difference between the Dataset and the DataFrame is that Datasets are strongly typed.
There are complex manipulations possible on Datasets and DataFrames, however they are beyond this quick guide.
To learn more about Datasets and DataFrames checkout this link.
Print DataFrame Schema
svEpisodes.printSchema()
Column Name Description 1 Airdate Date when an episode was aired 2 Airstamp Timestamp when an episode was aired 3 Airtime Length of an actual episode airtime (no commercials) 4 Id Unique show id 5 Name Name of an episode 6 Number Episode number 7 Runtime Total length of an episode (including commercials) 8 Season Show season 9 Summary Brief summary of an episode 10 Url Url where more information is available online about an episode
show Datafram content
svEpisodes.show()
create a temporary SQL view
// Creates a temporary view
svEpisodes.createOrReplaceTempView("svepisodes")
run basic SQL queries
spark.sql("SELECT * FROM svepisodes ORDER BY season, number")
+----------+--------------------+-------+------+--------------------+------+-------+------+--------------------+--------------------+
| airdate| airstamp|airtime| id| name|number|runtime|season| summary| url|
+----------+--------------------+-------+------+--------------------+------+-------+------+--------------------+--------------------+
|2014-04-06|2014-04-06T22:00:...| 22:00| 10897|Minimum Viable Pr...| 1| 30| 1|Attending an elab...|http://www.tvmaze...|
|2014-04-13|2014-04-13T22:00:...| 22:00| 10898| The Cap Table| 2| 30| 1|After a celebrato...|http://www.tvmaze...|
|2014-04-20|2014-04-20T22:00:...| 22:00| 10899|Articles of Incor...| 3| 30| 1|While Gavin Belso...|http://www.tvmaze...|
|2014-04-27|2014-04-27T22:00:...| 22:00| 10900| Fiduciary Duties| 4| 30| 1|At Peter's toga p...|http://www.tvmaze...|
|2014-05-04|2014-05-04T22:00:...| 22:00| 10901| Signaling Risk| 5| 30| 1|Erlich convinces...|http://www.tvmaze...|
|2014-05-11|2014-05-11T22:00:...| 22:00| 10902|Third Party Insou...| 6| 30| 1|Richard feels thr...|http://www.tvmaze...|
|2014-05-18|2014-05-18T22:00:...| 22:00| 10903| Proof of Concept| 7| 30| 1|At TechCrunch Dis...|http://www.tvmaze...|
|2014-06-01|2014-06-01T22:00:...| 22:00| 10904|Optimal Tip-to-Ti...| 8| 30| 1|Poised to compete...|http://www.tvmaze...|
|2015-04-12|2015-04-12T22:00:...| 22:00|117409| Sand Hill Shuffle| 1| 30| 2|Season 2 begins w...|http://www.tvmaze...|
|2015-04-19|2015-04-19T22:00:...| 22:00|142992| Runaway Devaluation| 2| 30| 2|Pied Piper could ...|http://www.tvmaze...|
|2015-04-26|2015-04-26T22:00:...| 22:00|142993| Bad Money| 3| 30| 2|Richard mulls a p...|http://www.tvmaze...|
|2015-05-03|2015-05-03T22:00:...| 22:00|142994| The Lady| 4| 30| 2|Richard butts hea...|http://www.tvmaze...|
|2015-05-10|2015-05-10T22:00:...| 22:00|153965| Server Space| 5| 30| 2|Gavin creates int...|http://www.tvmaze...|
|2015-05-17|2015-05-17T22:00:...| 22:00|154580| Homicide| 6| 30| 2|Erlich runs into ...|http://www.tvmaze...|
|2015-05-24|2015-05-24T22:00:...| 22:00|155129| Adult Content| 7| 30| 2|The team fields j...|http://www.tvmaze...|
|2015-05-31|2015-05-31T22:00:...| 22:00|155130| White Hat/Black Hat| 8| 30| 2|Richard gets para...|http://www.tvmaze...|
|2015-06-07|2015-06-07T22:00:...| 22:00|155199| Binding Arbitration| 9| 30| 2|Erlich wants to t...|http://www.tvmaze...|
|2015-06-14|2015-06-14T22:00:...| 22:00|155200|Two Days of The C...| 10| 30| 2|As the guys await...|http://www.tvmaze...|
|2016-04-24|2016-04-24T22:00:...| 22:00|560883| Founder Friendly| 1| 30| 3|After being uncer...|http://www.tvmaze...|
|2016-05-01|2016-05-01T22:00:...| 22:00|668661| Two in the Box| 2| 30| 3|The new and impro...|http://www.tvmaze...|
+----------+--------------------+-------+------+--------------------+------+-------+------+--------------------+--------------------+
OK, so now let’s run a slightly more complex SQL query on the underlying table data.
Total Number of Episodes
spark.sql("SELECT count(1) AS TotalNumEpisodes FROM svepisodes").show()
+----------------+
|TotalNumEpisodes|
+----------------+
| 28|
+----------------+
Number of Episodes per Season
spark.sql("SELECT season, count(number) as episodes FROM svepisodes GROUP BY season").show()
+------+--------+
|season|episodes|
+------+--------+
| 1| 8|
| 3| 10|
| 2| 10|
+------+--------+
Now let’s perform a basic word-count on the summary column and find out which words occur most frequently. This should give us some indication on the popularity of certain characters and other relevant keywords in the context of the Sillicon Valley show.
raw version
import org.apache.spark.sql.functions._ // Import additional helper functions
val svSummaries = svEpisodes.select("summary").as[String] // Convert to String type (becomes a Dataset)
// Extract individual words
val words = svSummaries
.flatMap(_.split("\\s+")) // Split on whitespace
.filter(_ != "") // Remove empty words
.map(_.toLowerCase()) // Lowercase
words.show()
+----------+
| value|
+----------+
| attending|
| an|
| elaborate|
| launch|
| party,|
| richard|
| and|
| his|
| computer|
|programmer|
| friends|
| -|
| big|
| head,|
| dinesh|
| and|
| gilfoyle|
| -|
| dream|
| of|
+----------+
// Word count
words.groupByKey(value => value) // Group by word
.count() // Count
.orderBy($"count(1)" desc) // Order by most frequent
.show() // Display results
+-------+--------+
| value|count(1)|
+-------+--------+
| a| 59|
| to| 48|
| and| 40|
| the| 38|
|richard| 26|
| pied| 24|
| of| 16|
| erlich| 16|
| his| 16|
| dinesh| 16|
| gavin| 14|
| at| 14|
| for| 12|
| piper| 12|
| in| 12|
| by| 12|
| big| 11|
| jared| 11|
| about| 10|
| with| 9|
+-------+--------+
As you can see there are plenty of stop words and punctuation marks that surface to the top. Let’s clean this up a bit by creating a basic stop word list and a punctuation mark list that we’ll use as basic filters before we aggregate and order the words again.
val stopWords = List("a", "an", "to", "and", "the", "of", "in", "for", "by", "at") // Basic set of stop words
val punctuationMarks = List("-", ",", ";", ":", ".", "?", "!") // Basic set of punctuation marks
// Filter out stop words and punctuation marks
val wordsFiltered = words // Create a new Dataset
.filter(!stopWords.contains(_)) // Remove stop words
.filter(!punctuationMarks.contains(_)) // Remove punctuation marks
// Word count
wordsFiltered
.groupBy($"value" as "word") // Group on values (default) column name
.agg(count("*") as "occurences") // Aggregate
.orderBy($"occurences" desc) // Display most common words first
.show() // Display results
+----------+----------+
| word|occurences|
+----------+----------+
| richard| 26|
| pied| 24|
| his| 16|
| erlich| 16|
| dinesh| 16|
| gavin| 14|
| piper| 12|
| jared| 11|
| big| 11|
| about| 10|
| gilfoyle| 9|
| guys| 9|
| with| 9|
| when| 9|
| is| 9|
| that| 9|
| monica| 9|
| new| 9|
|meanwhile,| 8|
| piper's| 8|
+----------+----------+
Ressources management (RAM and CPU cores) in a distributed environment is quite a bit of a challenge. That’s why some brand new job schedulers like YARN arise from Hadoop 2 release. With Spark you can use 3 different ways of job scheduling:
For now we’ve just used the Spark shell application to run our jobs. That’s usefull in a development environment but for production, you’ll certainly want to run your jobs simultaneously over the cluster and share efficiently those resources. To do that, we need both a job scheduler and a job.
Now it’s time to define the content of the job in the file src/main/scala/SimpleApp.scala. Please note the SparkConf definition section where you set up how much memory will be used by each executor, how many cpu core shall be used and the kind of scheduling you want to use (FIFO or FAIR).
package com.hurence.logisland.job
import org.apache.spark.SparkContext
import org.apache.spark.SparkConf
object SimpleApp {
def main(args: Array[String]) {
// job configuration
val conf = new SparkConf().setAppName("Simple App")
val sc = new SparkContext(conf)
// job definition
var file = "/tmp/pagecount_sm.dat"
val pagecounts = sc.textFile( file )
val enPages = pagecounts.filter(_.split(" ")(1) == "en")
val enPageCount = enPages.count
println("Page count for EN pages: %s".format(enPageCount))
}
}
We first need to compile and package the source files and dependencies
mvn compile assembly:single
And then we can run the job from multiples threads with
/usr/local/spark/bin/spark-submit --class com.hurence.logisland.job.SimpleApp \
target/logisland-flow-analytics-ml-jobs-0.10.1-jar-with-dependencies.jar
Let’s have a look to http://HOST_IP:8080 cluster web ui to get details about the differents jobs running along the cluster. The Simple App counts the lines of French pages access in/data/pagecount_sm.dat` file.
...
Page count for FR pages: 7926641
14/05/05 15:48:02 INFO ConnectionManager: Selector thread was interrupted!
[success] Total time: 49 s, completed May 5, 2014 3:48:02 PM


{% extends "_post.html" %} {%hyde title: "car and stuff" created: 2003-12-04 15:00:14 %} {% block article %} {%article%}
My Dad’s old car (which I have been driving) was getting in pretty bad shape, so I bought a new (used) car on Saturday. It’s a green VW Passat. It’s totally sexy. I took pictures but don’t have them up anywhere.
Work isn’t taking as much of my time now, which is good I guess. Unfortunately, after hacking all day at work I have little desire to hack on GNOME, which is bad. The API/ABI freeze is on Monday and recent-files STILL isn’t ready to go in. Paolo has been working hard on a new document model and other good stuff, though, so maybe we’ll make it. OO.o has its own implementation, though, so we need to coordinate with those guys on what is happening…
{%endarticle%} {% endblock %}


Before you export your data from Google to RStudio, make sure your spreadsheet follows these four guidelines:
If you have formatted your data correctly, then it can be read as .csv form, which is how R reads your data. Download your properly-formatted spreadsheet as a .csv file by selecting File > Download as > Comma-separated values (.csv). The file will download to your local hard-drive.
Next, open your RStudio browser. In the Files/Plots/Packages/Help pane, upload your data by selecting Files > Upload > Choose File > your_spreadsheet_name.csv. Then, select Open, which uploads your data to RStudio. You will find the name of your data in your list of Files.
To access this data, you will first have to give it a one-word name (let's call this example_data). In the R console, type: example_data = read.csv(“The name of your data frame.csv”). read.csv() is a function that takes a file name as an argument and reads it into the RStudio console under the given name on the left-hand side of the equals sign. The data is now stored in the console as \( \text{example_data} \).
To confirm you loaded the data correctly, try the follow command: \( \text{View(example_data)} \) If the data were loaded correctly, the data frame will open in the source pane.


Mailbox refers to Email Mailbox, a kind of message queue. As the days pass, you are going to accumulate a lot of messages. You can store them conveniently in an organized fashion. Your mail program creates a set of FOLDERS each of which can hold as many messages as necessary. If you want you can create more folders and move messages between them, but you will probably find the standard folders will work just fine. The name of the folders will vary from one program to another, but their use should be obvious. The following table shows the names of the standard folders used by two popular mail programs.
Outlook Express(Microsoft)- Inbox, Outbox,Drafts, Sent Items,Deleted Items
Messenger(Netscape) - Inbox, Unsent Messages, Drafts, Sent, Trash
The Inbox holds all your incoming mail. Inbox is the default folder for unread emails to be downloaded into and stored, even after they have been read. The Outbox holds all the mails to be sent out. The outbox holds messages that you have composed that are ready for delivery, but have not been sent. Once the messages are sent, they are moved to the Sent Folder.The Drafts folder is a temporary storage area for messages that are partially typed but not yet ready to send .
For instance if you are typing a message and you have to quit the program before the message is finished, you can save it in the drafts folder. Some mail programs will automatically save unfinished messages to this folder when you quit the program.As you read your incoming messages you will want to delete them. Similarly you will want to delete messages from your sent folder. When you delete messages they are not really deleted they are simply moved to your trash folder. This gives you a chance to look at your old messages if needed. Eventually though you should delete the messages in your Trash folder to remove them permanently.


FindConservedMarkers.Rd
Finds markers that are conserved between the groups
FindConservedMarkers( object, ident.1, ident.2 = NULL, grouping.var, assay = "RNA", slot = "data", meta.method = minimump, verbose = TRUE, ... )
| object | An object |
|---|---|
| ident.1 | Identity class to define markers for |
| ident.2 | A second identity class for comparison. If NULL (default) - use all other cells for comparison. |
| grouping.var | grouping variable |
| assay | of assay to fetch data for (default is RNA) |
| slot | Slot to pull data from; note that if |
| meta.method | method for combining p-values. Should be a function from the metap package (NOTE: pass the function, not a string) |
| verbose | Print a progress bar once expression testing begins |
| ... | parameters to pass to FindMarkers |
data.frame containing a ranked list of putative conserved markers, and associated statistics (p-values within each group and a combined p-value (such as Fishers combined p-value or others from the metap package), percentage of cells expressing the marker, average differences). Name of group is appended to each associated output column (e.g. CTRL_p_val). If only one group is tested in the grouping.var, max and combined p-values are not returned.


Rejection - Your Emotion Workout
Tue, 07 Feb 2017 @ Rants
Rejection is emotionally painful. It can lead to all sort of negative feelings – sad, angry, disappointment, embarrassment.
Unfortunately, these feelings will influence your action, your attitude, your response to the world around you.
If you allow yourself to respond negatively to these emotions, you will always be in a losing position. Your emotion won’t get stronger.
In order to change this, you need to continuously expose yourself to the rejections and at the same time you control how you respond to the situations.
You’ll train your emotion to adapt to the rejections. Over time, you will be calmer, more relaxed, less temper when facing the rejections.
After a while, rejection won’t intimidate you anymore. You’ll feel ‘mehhh’ and you move on. At this point, you will be unstoppable. No rejection can change your emotion.
Those with muscular body or incredible strength don’t simply get big or strong overnight. It takes time and lots of exercise.
The same goes with your emotion. Get rejected often. Control how your respond. Strengthen your emotion.
Soon, you will be unstoppable.


Processes a full filename and path, splitting the filename and path into two strings, and displays them in a UI panel.
module DSFCore <src_file="dispfile.cxx"> { string+IPort2 FullFileName; cxxmethod update ( .FullFileName+read+notify, .FileName+write, .Path+write, .ValidName+write ); string+OPort2 FileName; string+OPort2 Path; boolean+OPort2 ValidName; };
The DSFCore module takes a full filename string as input. This input is processed by a C++ method and split into two strings; the directory path and the actual filename. A User macro is also provided that allows the strings to assembled into a user-interface panel. This macro is intended to provide more readable feedback to users about the file they have selected.
The module assumes that the directory path is the part of the full filename before the final file separator. Conversely the filename is the part of the full filename after the final file separator. The final file separator character is not included in either string. The module is designed to search for both forms of file separator(i.e. \ or /). On Windows systems a backslash(\) is initially searched for. If this is not found then a forward slash(/) is searched for. On other systems a forward slash is looked for before a backslash.
FullFileName
Name of the file to be split into file and directory parts. This parameter is a string value.
FileName
The actual filename extracted from the input FullFileName parameter.
Path
The directory path extracted from the input FullFileName parameter.
ValidName
A boolean flag indicating that the supplied input parameter is a valid filename string. If no file separator can be found this flag is cleared.
The display_split_filename user macro makes use of the DSFCore low-level module and the DSF_UI user interface macro. The DSFCore module contains all the C++ code necessary for this project.
The DisplaySplitFilename example application is provided. This demonstrates now the display_split_filename macro can be connected to a file dialog box so that it displays the path and filename separately.
xp_comm_proj/dispfile/dsf_mods.v contains the V definition of the DSFCore module.
xp_comm_proj/dispfile/dsf_macs.v contains the V definitions of the DSF_UI UI macro, the display_split_filename user macro and the DisplaySplitFilenameEg example applications.
The low-level DisplaySplitFilenameMods library containing the DSFCore module does not specify a process. By default the express process will be used.


1. Decide what content I want to include in my new website
2. Think about the colors and layout of the page
3. Consider the kind of user experience people will have
4. Create a wireframe for my new website