{{'HORSE_AD_DETAIL.BACK' | translate }}
{{horseAdModel.Description}}
{{userModel.FirstName}}
{{userModel.PhoneNumber}}
{{userModel.Email}}
{{horseAdModel.Address.Country}}, {{horseAdModel.Address.City}}, {{horseAdModel.Address.Street}}
Note: We will not store your email or use it for any purpose. Your email is requested as an information in order for seller to respond to your email.
{{ 'HORSE_AD_DETAIL.MARK_AS_SOLD' | translate }}
{{ 'HORSE_AD_DETAIL.JUST_DELETE' | translate }}


I am good guy. I like video games, sport, books and improve my self everyday.
I enjoy writing front-end code with these technologies
ask me, my phone number when u see my big head. email me


Token Icon
Token Symbol
DAV
Token Sale Hard Cap
54,286 ETH
Token Sale Target
Capped, 708,571,429 DAV
Maximum Token Supply
1,771,428,571 DAV
Token Sale Starts
June 11, 2018, at 13:00 GMT
Token Sale Ends
(Whichever comes earlier)
Hard Cap Reached
June 25th 2018, at 13:00 GMT
Token Price
1 ETH = 10,000 DAV
Minimum Purchase Amount
0.2 ETH
Maximum Purchase Amount
150 ETH
Maximum Gas Limit
300,000
Maximum Gas Price
50 Gwei
Tokens can be purchased with
ETH
Protocol
Ethereum, ERC20
Tokens Received
Immediately
Tokens Transferable
14 days after sale ends
Requirements
Whitelist & KYC here
Terms and Conditions of Token Sale
We are very grateful for the patience the DAV community has shown us over the past months while we worked hard to get to this point -- we can now finally announce the details of the much anticipated DAV token sale. It takes significant thought and planning to engineer the birth of an economy, taking into account an array of complex factors, including legal, financial, and technical. Please note, this "Everything you need to know" is meant to be a helpful quick summary only. The actual Terms and Conditions of the token sale is here. Please be sure to read them to understand the terms of the token sale.
As of today, we are switching to an ETH-based hard cap instead of a USD-based one. This change is to promote clarity and speak in one language throughout the sale process, to reduce confusion arising from a potentially volatile USD/ETH ratio. The current USD/ETH rate is set at $700 per 1 ETH, which translates to a 54,286 ETH hard cap ($38M). Two days prior to the start of the token sale (June 11th 2018), we will lock the USD/ETH rate using the 24-hour volume weighted average price from coincap.io, and adjust the ETH-based hard cap using that final rate to reflect our $38M hard cap, and this page will be updated accordingly. From that point on and until the end of the sale, no updates or changes will be made in response to changes in USD/ETH rate. The total token supply and the total of tokens for sale will be updated in the same proportion as the ETH based hard cap.
Among the many things we are doing to ensure the longevity and stability of the DAV Network, we have been conducting a presale of DAV tokens. The original soft cap has already been reached and the project will proceed regardless of the main token sale’s outcome. We are continuing our presale with a focus on contributors who are able not only to help fund the project and secure its future in advance of the main token sale, but also who can add value to the project in the form of partnerships, exposure and advocacy.
We have received a number of concerned responses as to why the minimum participation in the presale was as high as 1000 ETH, and we would like to take this opportunity to address this question.
According to the latest FINMA (Swiss Financial Market Supervisory Authority) guidelines, because the DAV token is a utility token and not a security, the rights of purchasers resulting from the SAFT to receive DAV Tokens at a future date should not be issued in a way that is "standardized and suitable for mass standardized trading." Otherwise, any such rights acquired under the SAFT would be classified as securities under Swiss law. Also, the DAV Foundation must not issue such rights in a way that the same rights are placed in identical form with 20 or more investors. As it is our responsibility to diligently comply with Swiss regulations, we could only permit a small number of contributors to participate, who bring value to the project both in terms of securing its funding, and also by creating awareness and helping the foundation form strategic partnerships today and down the road.
45% - Research and Development
15% - Marketing and Business Development
20% - Expansion & Operations
10% - General & Administrative
10% - Legal & Compliance
The DAV token and crowd sale smart contracts are currently undergoing the last phase of review regarding safety and reliability as the launchpad for the DAV network. The audit is being conducted by Zero Knowledge Labs, one of the most reputable smart contract audit firms in the world. As soon as the audit is complete, we will release both the findings and the complete smart contract source code on the DAV GitHub.
In striving to create a viable blockchain based transportation infrastructure, we are continuing to add to our team some of the best and most experienced minds in both blockchain and transportation. In the legal realm we have been fortunate enough to have Ms.Tung Chan, the former General Counsel of the Ethereum Foundation and former 8 year Securities Commissioner for the State of Hawaii, join us as the new General Counsel of the DAV Foundation. As an organization dedicated to adhering to the rule of law, we are responsible for compliance not only in our domestic jurisdiction of Switzerland, but also in international ones, and Ms. Chan will take on this complex orchestration beginning from April 2, 2018.
The following post is dedicated to whitelist / KYC and contains information regarding:
IMPORTANT NOTE: Participation in the token sale is not permitted for citizens or residents of the USA and China. Registration (and KYC) will be completely blocked for USA/China ID documents, as well as from US/China IP addresses.
Tokens purchased at the main token sale are received immediately after the token sale is concluded. Tokens are not transferable for up to 14 days.
To add DAV as Custom Token within your ERC20 compatible wallet:
We are deeply grateful to each and every one of you for your support and for sharing the DAV vision with us. As members of the DAV community you have a special role in helping shape DAV’s development and rollout -- your input is important to us, and we will continue to listen carefully to your valuable feedback. We are encouraged by what the future promises and very much look forward to sharing this exciting journey with you!


If the previous chapters we have explained how to create and deploy our sample application, using Play Framework and Amazon AWS. When we finished the last chapter we had deployed the application and setup automatic scalability so it could cope with an increase in request numbers.
But what if you are not good doing syadmin tasks? Or you just want a simpler way to deploy the application, with even less configuration?
Amazon AWS has you covered with Elastic Beanstalk. Beanstalk allows you to deploy a WAR file in a Tomcat (versions 6 or 7) environment. The system automatically manages load balancing and scalability of the application, while giving you full access to all Amazon AWS components (RDS, etc.).
We have to give a warning about the integration between Beanstalk and Play Framework. While Beanstalk has many benefits and it works fine with a Play Framework application, it is not the optimal platform to execute Play applications. By default, Play expects to be run using its embedded Netty server. Using a WAR file to run the application inside a JEE container reduces the performance and, in some Servlet engines, you lose access to some of the Play API that these engines don't support, like Websockets.
That said, it is possible to deploy Play in Beanstalk, and in some scenarios it is the best option. If you don't use certain API and you want Amazon AWS to configure your EC2 instances and the scalability of your application, please use Beanstalk; it works and you can focus on the application, not on configuring AWS. But you should be aware of the trade off you are making.
In this chapter we explain how to generate a WAR file from our Play application. We go through the steps required to create the Beanstalk instance and finally we show how to deploy to Beanstalk our sample code.
The following steps assume that both DynamoDB and RDS MySQL are properly set up in Amazon AWS. Check the previous chapter for more information on how to configure them.
Play Framework doesn't provide a native tool to generate WAR files from the application source. Thankfully, the community has taken to the challenge and Damien Lecan has created a plugin to that end, Play2War. This section describes the steps to integrate the plugin with our existing code base and how to generate the WAR file from it
Integrating Play2War with an existing Play application is very straightforward. Play2War runs as a SBT plugin, so first of all we need to edit project/plugins.sbt and add the following line:
addSbtPlugin("com.github.play2war" % "play2-war-plugin" % "1.0")
This line allows calling Play2War commands via SBT, both by Play and via the terminal.
The second step is to edit project/Build.scala and add the Play2War configuration to the project, so Play Framework knows how to generate the War file when asked to. The resulting configuration looks like the following:
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 |
import com.github.play2war.plugin._ object ApplicationBuild extends Build { val appName = "play-sample-app" val appVersion = "1.0-SNAPSHOT" val appDependencies = Seq( javaCore, javaJdbc, javaEbean, "org.webjars" %% "webjars-play" % "2.1.0-2", "org.webjars" % "bootstrap" % "2.3.2", "com.amazonaws" % "aws-java-sdk" % "1.4.5", "com.feth" %% "play-authenticate" % "0.2.5-SNAPSHOT", "be.objectify" %% "deadbolt-java" % "2.1-SNAPSHOT", "mysql" % "mysql-connector-java" % "5.1.25" ) val main = play.Project(appName, appVersion, appDependencies) .settings(Play2WarPlugin.play2WarSettings: _*) .settings( resolvers += Resolver.url("Objectify Play Repository (release)", url("http://schaloner.github.com/releases/"))(Resolver.ivyStylePatterns), resolvers += Resolver.url("Objectify Play Repository (snapshot)", url("http://schaloner.github.com/snapshots/"))(Resolver.ivyStylePatterns), resolvers += Resolver.url("play-easymail (release)", url("http://joscha.github.com/play-easymail/repo/releases/"))(Resolver.ivyStylePatterns), resolvers += Resolver.url("play-easymail (snapshot)", url("http://joscha.github.com/play-easymail/repo/snapshots/"))(Resolver.ivyStylePatterns), resolvers += Resolver.url("play-authenticate (release)", url("http://joscha.github.com/play-authenticate/repo/releases/"))(Resolver.ivyStylePatterns), resolvers += Resolver.url("play-authenticate (snapshot)", url("http://joscha.github.com/play-authenticate/repo/snapshots/"))(Resolver.ivyStylePatterns), Play2WarKeys.servletVersion := "3.0" ) } |
As you can see in line 1, we are importing the Play2War plugin which we integrate with our project in line 21. Line 30 sets the Servlet environment for which we are creating the War file. In this case we target Servlets 3.0, which has substantial improvements over Servlets 2.5.
Play2War provides some other configuration options that are not covered in this guide. Please check them to ensure full compatibility with the JEE container of your choice.
One concern when creating a War file from the sample application is how to manage critical configuration values. This includes passwords and secret keys used to connect to SaaS services, which we don't want to commit to source control.
Fortunately, the default way that Play uses to manage these keys is still valid when creating a War file. As it was mentioned in the first chapter, any configuration property provided as JVM option via the -D flag overrides the corresponding entries in application.conf.
This means that we can store critical information in the JVM options string, instead of adding it to conf files where it could be committed to source control by mistake.
As it is explained later on, Beanstalk supports this and provides a simple way to add JVM options to a Java container.
To generate the War file, open a terminal window and go to the root folder of the sample application. In there, execute:
$play war
to execute the SBT plugin that builds the War file. The resulting War is stored at the target folder that is created at the root of the application. In this example the file is at:
$target/play-sample-app-1.0-SNAPSHOT.war
The output of executing Play2War is:
As you can see, the Play2War plugin generates a set of jars from the source code of the application and stores them inside the War file. All the configuration required to run the file inside a container is added as per the Servlet version we selected in Build.scala.
At this stage we have created a fully functional War file, ready to be deployed in Beanstalk.
As we want to deploy the War file in Elastic Beanstalk, first we have to create an instance via the Elastic Beanstalk Console. An instance consists on a servlet container in which we deploy the War file. As mentioned before, Amazon manages many aspects of the container, simplifying the maintenance of the application.
When accessing the console, the first screen allows us to select a container for the application:
We select Tomcat as our target container and press Get Started. This creates a Tomcat 7 instance running in a 64 bit Linux machine, which will be used to run our application. At this point Beanstalk starts creating the environment, which may take several minutes to be ready, and redirects you to the dashboard where you can see the progress:
As you can see in the Recent Events list, Beanstalk is creating all the necessary components for the application, including auto-scaling and CloudWatch Alarms, so you don't have to worry about managing them:
Once the initial deployment is ready, we can start configuring our application.
On the left side menu, click on Configuration. This will bring you to the main configuration dashboard, where you can modify the properties of each element of the application: instances size, scaling, load balancing, databases linked to the application, etc.
If you click on the Software Configuration entry you will access the form to set up container settings, where we can modify the heap of the application and, more importantly, provide JVM options:
We can use the Environment Properties list to provide configuration settings to the application, like the JDBC url to our RDS instance. Remember that in a Play application, options provided via -D flags in JVM override settings in application.conf. For example, we can provide the following string:
-Ddb.default.url="<jdbc url>" -Ddb.default.user=user -Ddb.default.password=password
to tell the application to use the RDS instance created in the previous chapter.
After applying the changes, the application will restart and we are ready to deploy the War file in Tomcat.
Deploying to Beanstalk is a simple process. Beanstalk uses the concept of Versions to manage the application. Each new version is a new War file uploaded to the server. When deploying, we can add comments to facilitate tracking of changes to the application. At any moment we can download the War file associated to a version, to do local testing, and we can revert to previous versions if needed.
When we created the Beanstalk environment, we selected Tomcat 7 as the container. To facilitate deployment to Tomcat 7, first you need to rename the War generated by Play2War to ROOT.war. This will turn our sample application into the root application of the container.
Once ready, go to the main Dashboard and select Upload and Deploy:
A pop up window appears where we can upload the War file and add a label to our deployment, for example a version number:
As you may notice, the popup has a link to see All Versions we have already deployed, allowing us to go back to a previously uploaded version if we want.
After pressing Deploy the War file is uploaded and the server is restarted to deploy the new release. This process takes a few minutes, as the War file being uploaded can be around 60Mb and the server needs to deploy the War and restart after the upload finishes.
If everything works as expected, a new version of the application is shown in the dashboard. Otherwise, check the logs to find the reason why the application is not deploying properly.
A common error when deploying to Beanstalk is to have a mismatch between JDK versions in the development environment and the container. Beanstalk uses JDK 1.6. If you create your War file using a newer version, like JDK 1.7, application deployment fails due to class version issues. Be aware of this limitation when generating the War file.
Beanstalk provides a lot of information to help monitor the application. You can check AWS Events triggered by the application, receive notifications via Alarms and request the Logs of the Tomcat instance, all via the Dashboard of Beanstalk.
One of the most useful reports is the Monitoring menu, through which we access a dashboard with plenty of usage data related to the application, like CPU usage, network latency or network traffic.
The image above shows the statistics collected by Beanstalk after a few requests to our application. The dashboard includes more graphs, for example one that shows CPU usage across time, and other relevant values.
At this stage we have the application deployed and running. If we access the url provided by Beanstalk, which in this example is http://default-environment-5kb8hjacsg.elasticbeanstalk.com/, we can see the homepage:
Beanstalk has full access to all AWS services. This
means that you can extend your application as required, usually with
minimal effort as AWS provides convenient interfaces between
Beanstalk and other AWS components.
For example, to modify the generated domain linked to your application (which is not very user friendly) and use your own custom domain you can follow the steps described in the documentation, which use Amazon Route 53 to provide this mapping.
This concludes the article about deploying a Play Framework application in Amazon AWS. Through it we have seen how to create a Play Framework application that uses Amazon AWS services, how to deploy it in EC2 using Ansible and how to run a War version of this application in Elastic Beanstalk.
The application is a good starting point from which to build your own application. Feel free to clone and fork the Github project and develop your own. You will see that by using these three tools (Amazon AWS, Ansible and Play Framework) your productivity increases and you are able to create amazing websites with minimal effort.
If you have any questions, feel free to contact me at @pvillega.
Cheers!


System Architect Diagram "Standard Heading"
Sorry, this document will only work on browsers capable of displaying frames (e.g. Netscape Navigator and Internet Explorer).


Storage Providers¶
Cloudmesh supports multiple cloud storage services via storage providers. You can access them via command line, an API, or REST services. A simple abstraction layer between cloud services and your local computer makes it possible that the services are accessed the same way. This includes Awss3, Azure, Google, and box.
The code is available in a cloudmesh module at
The installation is documented in our installation manual.
Configuration¶
The cloudmesh YAML file contains a number of templates for configuring access to your cloud provider’s storage services. This includes AWS, Azure, Google, and others.
To showcase the integration, please open the cloudmesh.yaml config file. Under the ‘storage’ section, we need to add the parameters for authentication.
In the credentials section under aws, specify the access key id and secret access key which will be available in the AWS console under AWS IAM service -> Users -> Security Credentials.
The bucket is the default bucket that will be used to store the files in AWS S3. The region is the geographic area like us-east-1 which contains the bucket. The region is required to get a connection handle on the S3 Client or resource for that geographic area.
Here is an example:
cloudmesh:
...
storage:
aws:
cm:
active: True
heading: aws
host: aws.amazon.com
label: aws
kind: awss3
version: TBD
service: storage
default:
credentials:
access_key_id: *********
secret_access_key: *******
bucket: name of bucket that you want user to be contained in.
region: Specify the default region eg us-east-1
Similar to AWS other storage providers are available. Please check-in the YAML file for their configuration template.
Commandline¶
The Cloudmesh command line allows to access a directory with the convenient get, put, search, list, create a directory, and delete functions. To find out more, use the command
cms> help storage
To invoke the AWS S3 service, we need to pass awss3 as parameter to storage parameter.
$ cms storage --storage=aws list '' --run
The following command can set the default storage service used in the storage command. After this command, you don’t need to specify the –service option in some commands.
$ cms set storage=aws
Monitor¶
This command monitors the status of commands in the MongoDB database and refresh itself every 5 seconds.
$ cms storage monitor
Run¶
This command executes the commands in the MongoDB that are in waiting status.
$ cms storage run
Create dir¶
This command helps to create a new directory on AWS S3. You must specify the full path of the new directory you would like to create.
$ cms storage --storage='aws' create dir /base_path/targetdir --run
Put¶
The put command uploads files from your localhost to the S3.
$ cms storage --storage='aws' put ~/.cloudmesh/storage/sourcedir /base_path/targetdir --recursive --run
The source for this command could be either a file or directory.
If you specify a file as the source, the file will be uploaded if no such file exists on the cloud or updated if a copy already exists on the cloud.
If the source is a directory, you can choose to specify the recursive option to upload the files in the sub-directories in the source as well to the target directory in S3. If the recursive option is not specified, only the files in the source directory will be uploaded to the target directory and the sub-directories will be ignored.
Get¶
The get command downloads files from S3 to your localhost.
$ cms storage --storage='aws' get /base_container/sourcedir ~/.cloudmesh/storage/targetdir --recursive --run
The source for this command could be either a file or directory.
If you specify a file as the source, you need to specify the full path of file including the file name where you want the file to be downloaded. In case you do not specify the file name and only give the target directory, then the file will be downloaded with the same name as present on S3.
If the source is a directory, you can choose to specify the recursive option to download files in the sub-directories in the source as well to the target directory in your localhost. If the recursive option is not specified, only the files in the source directory will be downloaded to the target directory and the sub-directories will be ignored.
Search¶
The search command helps to search for a particular file within a directory.
If the recursive options is specified, Cloudmesh will search for the file in all sub-directories of the original directory as well.
To search for a file at the root, pass an empty string or / as the target dir.
$ cms storage --storage='aws' search /base_path/targetdir testfile.txt --recursive --run
Note that for the Box storage provider, objects are only indexed every 5 to 10 minutes and will not show up in a search until they have been indexed.
List¶
The list command lists all the contents of a cloud directory. If the the recursive option is specified, it will list the contents of all sub-directories as well.
$ cms storage --storage='aws' list /base_path/targetdir --recursive --run
Delete¶
The delete command can delete files or folders from your cloud file storage. Deleting a folder will delete its contents as well (including the sub-directories).
$ cms storage --storage='aws' delete /base_path/targetdir --run
Copy¶
This command can allow the user to copy files/directories across local and different cloud providers including aws, azureblob, gdrive, etc.
$ cms storage copy --source=local:./test_file1.txt --target=aws:aws_copy_1.txt --run
The help command gives a detailed description of what each command does and how to use the command line to interact with a different object storage providers and different parameters available in a particular command.
API¶
Cloudmesh Storage provides a simple programming API interface that you can use. We highlight a simple example for storing and retrieving a file form a storage provider.
We assume the files at the given path exist
import cloudmesh.storage.provider.Provider as Provider
from cloudmesh.common.util import path_expand
from pprint import pprint
provider = Provider(service="azure")
src = path_expand("~/.cloudmesh/storage/test/a/a.txt")
dst = "/"
result = provider.put(src, dst)
# The resut will be a dict of the information which you can print with
pprint(result)
Pytests¶
The storage providers have a number of pytests that can be used to test the functionality
Generic Tests¶
We have developed a number of simple pytests that can be called. To see the list of Pytests go to our directory
We also developed a general pytest that works across providers and can be invoked as follows
$ cms set storage=box
$ pytest -v --capture=no tests/test_storage.py
$ cms set storage=azure
$ pytest -v --capture=no tests/test_storage.py
$ cms set storage=gdrive
$ pytest -v --capture=no tests/test_storage.py
$ cms set storage=aws
$ pytest -v --capture=no tests/test_storage.py
$ cms set storage=parallelazureblob
$ pytest -v --capture=no tests/test_storage.py
$ cms set storage=parallelazureblob
$ pytest -v --capture=no tests/test_storage_azure.py
$ cms set storage=parallelgdrive
$ pytest -v --capture=no tests/test_storage.py
Provider Specific Pytests¶
Open a terminal and navigate to the cloudmesh-storage directory. Enter the following command to run pytests:
$ pytest -v --capture=no tests/test_storage_box.py
$ pytest -v --capture=no tests/test_azure.py
$ pytest -v --capture=no tests/test_storage_aws.py
Virtual Directory¶
The virtual directory has been developed to mirror the Linux directory commands. File links in the virtual directory point to files on storage providers, which can be retrieved using the virtual directory.
Configuration¶
The credentials for the virtual directory are the same as for the admin mongo command. See the Mongo section for details.
Google drive¶
The Google Drive API needs the following two 2 credentials files. * client_secret.json * google-drive-credentials.json
If we run the Google Drive Provider.py for the First time then the required keys, tokens are taken from the cloudmesh.yaml file and creates a client_secret.json file in the following path ~/.cloudmesh/gdrive/
The Authentication.py creates a .credentials folder under the following path ~/.cloudmesh/gdrive/ if it does not exist and creates a google-drive-credentials.json file under the following folder ~/.cloudmesh/gdrive/.credentials/
So, for the First time browser will be opened up automatically and asks for the Google Drive(gmail) credentials i.e., login email and password. If you provide these 2 then the Authentication step is completed and then it will create the google-drive-credentials.json and place it in ~/.cloudmesh/gdrive/.credentials/ folder.
These steps are to be followed for the first time or initial run. Once it is done then our program is set. After these steps then the program will run automatically by using these credentials stored in the respective files.
Note¶
The Google Drive API accepts these 2 files in the form of .json file format and not in the form of a dictionary.
Links¶
Link for additional information:


Every plugin can contribute to mail address resolution process using hudson.tasks.MailAddressResolver extension point.
Performance considerations
Mail address resolution is a potentially time consuming process. It can considerably slow down operation relaying on mail address resolution, especially on Jenkins instances having registered several resolvers.


{% extends "basic/defindex.html" %} {% block body %}
What's new in PyAMF 0.6? Changes since the previous major release
Download Stable releases and source access
Features High-level overview of PyAMF's functionality
Installation Setting up your system
Library Reference Module documentation with examples
Tutorials How to use PyAMF
Architecture The PyAMF internals
Complete Table of Contents Lists all sections and subsections
Mailing List
IRC Channel
Reporting bugs
Search page
License
About the documentation


Index
html only
css
unit converter
Google Map
Leaflet Map
EsriM ap
Esri Map with Downloaded data
last update: 2/28/2019 Author: Henrichsen Copyright: public


--- title: Home layout: default --- {% for post in paginator.posts %}
{{ post.content | strip_html | truncate: 350 }} ادامه - {% include read-time.html %}


@@include('./_includes/head.html', { "title": "Videos Page", "description": "Description for the Videos page", "keywords": "videos videos videos" })
This is the Videos page intro content.


Besides a lot of support code to provide a user interface, the heart of the
process is found in Thumbelina.extractImageLinks()
, which has a wee
state machine that notes when an  tag is discovered within the body
of an  tag pair. This triggers a fetch of the
HREF
(image file).
The fetch is performed in the background by the ToolKit
image
loading code which runs 4 threads (on my machine). When an image is received it
is added to the list of pending images. This list is drained by the
Sequencer
as it presents images at fixed intervals.
The TileSet
and Picture
classes provide a framework
for displaying the various sizes of image that arrive in a random way, while
still being able to repaint the panel when required.
The images are only retained in memory long enough to get covered over by
subsequent images, but in general, the manipulation of images is a memory
intensive task which requires a higher than normal limit on the maximum
heap memory, i.e. use the -Xms256M
command line switch to
avoid java.lang.OutOfMemoryError
messages.
The rest is just the UI code, that can be altered by intrepid programmers as they see fit.
TODO


The xsl:choose
element is used to choose one of a number of alternative outputs. The element
typically contains a number of xsl:when elements, each with a separate test condition. The first
xsl:when
element whose condition matches the current element in the source document is expanded, the others
are ignored. If none of the conditions is satisfied, the xsl:otherwise child element, if any, is
expanded.
The test condition in the xsl:when
element is a boolean expression.
The full syntax of expressions is given in XPath Expression Syntax
Example:
<xsl:choose>
<xsl:when test="@cat='F'">Fiction</xsl:when>
<xsl:when test="@cat='C'">Crime</xsl:when>
<xsl:when test="@cat='R'">Reference</xsl:when>
<xsl:otherwise>General</xsl:otherwise>
</xsl:choose>


Paint
public final class Paint
Paint
controls options applied when drawing. Paint
collects all
options outside of the Canvas
clip and Canvas
matrix.
Various options apply to strokes and fills, and images.
Paint
collects effects and filters that describe single-pass and multiple-pass
algorithms that alter the drawing geometry, color, and transparency. For instance,
Paint
does not directly implement dashing or blur, but contains the objects that do so.
-
Set Style to fill, stroke, or both fill and stroke geometry.
The stroke and fill share all paint attributes; for instance, they are drawn with the same color. Use
See more.strokeAndFill
to avoid hitting the same pixels twice with a stroke draw and a fill draw.Declaration
Swift
public enum Style : UInt32
-
Join specifies how corners are drawn when a shape is stroked. Join affects the four corners of a stroked rectangle, and the connected segments in a stroked path.
Choose miter join to draw sharp corners. Choose round join to draw a circle with a radius equal to the stroke width on top of the corner. Choose bevel join to minimally connect the thick strokes.
The fill path constructed to describe the stroked path respects the join setting but may not contain the actual join. For instance, a fill path constructed with round joins does not necessarily include circles at each connected segment.
See moreDeclaration
Swift
public enum StrokeJoin : UInt32
-
Hinting adjusts the glyph outlines so that the shape provides a uniform look at a given point size on font engines that support it. Hinting may have a muted effect or no effect at all depending on the platform.
The four levels roughly control corresponding features on platforms that use FreeType as the font engine.
See moreDeclaration
Swift
public enum Hinting : UInt32
-
Cap draws at the beginning and end of an open path contour.
See moreDeclaration
Swift
public enum StrokeCap : UInt32
-
Constructs SkPaint with default values.
Declaration
Swift
public init()
-
Sets all
Paint
contents to their initial values. This is equivalent to replacingPaint
with the result ofPaint
Declaration
Swift
public func reset()
-
Returns true if pixels on the active edges of SkPath may be drawn with partial transparency. When setting, requests, but does not require, that edge pixels draw opaque or with partial transparency.
Declaration
Swift
public var isAntialias: Bool { get set }
-
Returns true if color error may be distributed to smooth color transition. When setting, requests, but does not require, to distribute color error.
Declaration
Swift
public var isDither: Bool { get set }
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Undocumented
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Swift
public var isVerticalText: Bool { get set }
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Undocumented
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Swift
public var isLinearText: Bool { get set }
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Swift
public var subpixelText: Bool { get set }
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Swift
public var lcdRenderedText: Bool { get set }
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Swift
public var isEmbeddedBitmapText: Bool { get set }
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Undocumented
Declaration
Swift
public var isAutohinted: Bool { get set }
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Undocumented
Declaration
Swift
public var fakeBoldText: Bool { get set }
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Undocumented
Declaration
Swift
public var hintingLevel: Hinting { get set }
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Undocumented
Declaration
Swift
public var deviceKerningEnabled: Bool { get set }
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Undocumented
Declaration
Swift
public var isStroke: Bool { get set }
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Undocumented
Declaration
Swift
public var style: Style { get set }
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Undocumented
Declaration
Swift
public var color: Color { get set }
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Undocumented
Declaration
Swift
public var strokeWidth: Float { get set }
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Undocumented
Declaration
Swift
public var strokeMiter: Float { get set }
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Swift
public var strokeCap: StrokeCap { get set }
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Swift
public var strokeJoin: StrokeJoin { get set }
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Swift
public var shader: Shader { get set }
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Swift
public var maskFilter: MaskFilter { get set }
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Swift
public var colorFilter: ColorFilter { get set }
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Undocumented
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Swift
public var imageFilter: ImageFilter { get set }
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Undocumented
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Swift
public var blendMode: BlendMode { get set }
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public var filterQuality: FilterQuality { get set }
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public var typeface: Typeface { get set }
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public var textSize: Float { get set }
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public var textAlign: TextAlign { get set }
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public var textEncoding: TextEncoding { get set }
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public var textScaleX: Float { get set }
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public var textSkewX: Float { get set }
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public var pathEffect: PathEffect { get set }
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public var fontSpacing: Float { get }
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public var fontMetrics: sk_fontmetrics_t { get }
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public func getFontMetrics(metrics: inout sk_fontmetrics_t, scale: Float = 0) -> Float
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Swift
public func clone() -> Paint
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Undocumented
Declaration
Swift
public func measureText(text: String) -> Float
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Undocumented
Declaration
Swift
public func measureText(text: String, bounds: inout Rect) -> Float


IndiaFirst Life sees 29% rise in individual APEs to Rs 325 cr in September
The firm ended September with a whopping 56% growth when the industry de-grew at 3%
by Press Trust of IndiaIndiaFirst Life Insurance, a joint venture of Bank of Baroda and Andhra Bank, on Monday said it registered a growth of 29 per cent in its individual annual premium equivalent to Rs 325 crore in September.
The firm ended September with a whopping 56 per cent growth when the industry de-grew at 3 per cent.
This comes on the back of recording a compound annual growth rate (CAGR) of 46 per cent in the past four years till 2018-19 on the new business individual APE, highlighting strong fundamentals and a sustained growth story, a release said.
The company reported a 29 per cent growth in individual annual premium equivalent (APE) on a year-on-year basis, it said.
IndiaFirst Life Deputy Chief Executive Officer Rushabh Gandhi said, "Team IndiaFirst Life has truly stepped it up, by collecting Rs 325 crore of annualised premium as on September 2019, against Rs 253 crore during the same time last year."
As per the company's shareholding pattern, Bank of Baroda holds 43.30 per cent stake, followed by Andhra Bank (29.53 per cent) and Carmel Point Investments India Pvt Ltd (27.17 per cent).


1- "grid" The grid property is a shorthand property for:
2- "gap" The gap property defines the size of the gap between the rows and columns .
3- "grid-template-rows" specifies the number and the heights of the rows in a grid layout.
4- "grid-template-columns" specifies the number and the widths of columns in a grid layout.
5- "grid-template-areas" specifies areas within the grid layout.
6- "grid-auto-rows" sets a size for the rows in a grid container.This property affects only rows with the size not set.
6- "grid-auto-columns" sets a size for the columns in a grid container.
7- "grid-auto-flow" controls how auto-placed items get inserted in the grid.
8- " grid-row-start: 2;" defines on which row-line the item will start.
8- " grid-row-end: span 3;" defines on which row-line the item will start.


Senior graphic design major at Binghamton University.
My initial ideas for the Camera of the Future was to modernize it to keep up with today's industry standards. The Camera of the Future will require bluetooth connection and a mobile smartphone app to utilize its full capabilities.
The diagram consists of four speicifc users with intentions of using the Microcam & accompanying app. The app user flow displays the elementary processes in starting up and using the Microcam application.
Skincare questionnaire given to 15 participants regarding their skincare routine, habits, and purchasing factors.


Full Cascade
Hi! Welcome to my bonus within this project "Full Cascade" where I have been given the chance to create beautiful CSS and experiment more with "Embedded Style CSS", "Linked Style CSS", and an addition, "Inline Style CSS". Within this particular bonus, I have learned how some styles within CSS can override other styles. Although there can be a confusion that might arise during this learning process, learning how some CSS styles might override others seems extremely necessary in enhancing your understanding of code. Additionally, I have learned more variations in CSS and different ways to apply those variations in my web pages. Definitely a process and a learning lesson through practice. With all that, you may select the following link to return to the Home Page.


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Bicycles and Backdoors
Steve Jobs famously called the computer a “bicycle for the mind,” an extension of ourselves that would not only make life easier, but improve it. And although the idea began with the Macintosh, the device closest to this particular Jobs ideal didn’t arrive in earnest until the iPhone.
The iPhone is the computer for everyone, the one we can all use without an instruction manual and without extensive training. We use it in line at the DMV and as we wait for the water to boil; we use it at the breakfast table and (though it might be a bit crass) on the toilet. It is a part of us, it is us. We work and we play on it, ask it questions when we don’t know the answers, even send photos and communications we’d be embarrassed by were they ever let into the light of day.
I wouldn’t let you know what I say to my wife in the privacy of our bedroom, though if you had a warrant and a surveillance team, I suppose you could listen. But even more than that — more than that — I’d never let you read my mind, let you know what I don’t even choose to tell her.
Never.
Steve was right. This little computer is a bicycle for the mind, but not in that it lets me do things faster and more efficiently (it does that, too). It’s an extension of the mind, a part of it, an inextricably intertwined augmentation of our thoughts. The iPhone (and the smartphone in general) lets me store more thoughts, remember moments more often and more vividly, and it is able to do so because I trust it. I trust that my musings and photos and videos are safe there. And more and more as time goes on, this has become true. It’s not a fetishization, Mr. President, it’s a fact. The contents of my phone, and other devices where I store things that I have yet to elect to share with the world — and may, in fact, never share — are private.
These unshared thoughts, imaginings, creations are just that: unshared. They are private.
And no. Not you, not your three letter organizations, not anyone has a right to see them if I’ve decided that they are so. Take them by force if you can, legislate if you must (and you should), but don’t leverage the locksmith as if it’s his responsibility to let you in. He doesn’t have a right to it either.
This device is a digital extension of my mind, a container for my thoughts, a memory of more precise capacity and greater longevity, a secret part of who I am, that I may open to you if I so choose. There is a key, but like the one for my biological mind, I and only I am the single person who may use it.
No one — not even the President of the United States — has a right to that.
Would you read my mind if you had the chance? Is that where this ends? I thought that we had the right to remain silent, to withhold that which would incriminate us. Do we have that right? Or will it dissolve as soon as it becomes technically feasible to circumvent it?
The particular phone you want to access today may not have been an extension of its user’s mind. But the key that will unlock it would unlock mine and my wife’s and someday my children’s. It would open a door for actors from less benevolent governments, if only enough to slip in the steel toe of a combat boot. And as we know, once a crack has opened, any number of plague ridden vermin will find it. It is a matter of time, an outcome so certain that decades of research and billions of dollars have only just been able to stave it off.
And so, though I have the right to remain silent, I choose to say this: many have claimed that this case is not about one phone (the government seems to see it otherwise). I will contradict them, arguing that it is about precisely this one phone because one is all. By opening one, you’ve opened them all.
By weakening one, you weaken us all.


It’s a special moment -- when two paths meet and converge. For us, that moment happened in the Netherlands, over a week in 2017. We had only just arrived in the country, a place that holds special significance for us both.
Cameron was spending the summer in Hilversum with her bridesmaid Elena and close friend Henk. She was there to help a refugee non-profit launch a pop-up hotel in Amsterdam. This was not the first summer that Cameron had spent in the Netherlands. She’d spent a lot of time in Maastricht, where her late husband Alex’s family lived. But, she’d spent little time exploring North Holland.
Jeremiah was visiting the Netherlands for the first time. He presented at a conference in Utrecht, and decided to spend an extra week exploring the country by bike. His father, Johannes, immigrated from the Netherlands to Canada as a boy. So Jeremiah took the opportunity to visit family and see where his Oma and Opa had lived.
When Cameron saw Jeremiah, she knew right away that he was someone special. Jeremiah was fascinated by Cameron’s non-profit work. We both felt an instant connection.
The next day, Jeremiah left Amsterdam on his cycling trip. Early in the trip, he suffered a crash, while crossing a bridge into Harlem, that left him injured. Cameron spent the rest of the week chatting with Jeremiah as he recovered from his injuries and eventually decided to continue the trip. As Jeremiah cycled down the coast to the Hague, Gouda, and back to Amsterdam, we bonded over our love of adventure and Dutch cheese.
We planned to meet that Friday in Amsterdam, the night before Jeremiah left, but we cancelled our plans. Cameron had come come down with bronchitis and Jeremiah was recovering from the bike trip. We unexpectedly ran into each other at the Amsterdam Central train station the next day.
Jeremiah returned to Canada and our conversations continued across time-zones as Cameron stayed in Hilversum through September. Our relationship blossomed over these months. We both fell in love as we talked non-stop.
A few months later, Jeremiah took a week off from school and flew down to Raleigh, North Carolina -- Cameron’s hometown. Arriving ahead of schedule, he rushed to suprise her with a bouquet of red roses. Flowers in hand, he met Cameron who was waiting for him at the top of the escalator. We drove to Blowing Rock the next day and explored many of the places that we’re excited to be sharing with you.
Cameron introduced Jeremiah to her family that trip. Weeks later, he travelled back to celebrate Christmas with her family. She followed him back for New Years Eve, meeting his family and friends in Canada. In the months that followed, we travelled to see each other as often as possible.
Jeremiah proposed to Cameron while they were hiking in Gatineau Park in June, 2018. Jeremiah took Cameron to the ruins of a mill built into a waterfall for a picnic lunch. As they crossed a bridge over the falls, Jeremiah knelt on one knee and asked Cameron to marry him.
Cameron said yes! Since then, we have been excitedly planning our wedding. We’re both looking forward to celebrating our love and dancing the night away as we go #fromfianceetoBaarbe this May!


{% extends "layout.html" %} {% block page_title %} Example - Forms {% endblock %} {% block content %} Your details Full name As shown on your birth certificate or passport Comment Put any text in here to post to the next page {% endblock %}
As shown on your birth certificate or passport


The red area of the chart is an abnormal hypoxia.
The duration of a state of insufficient physiological oxygen or tissue oxygen demand.
Dizziness and difficulty breathing.
(1) Direct oxygen or aerobic exercise, including walking, jogging, deep breathing, and improving the oxygen inhalation environment will also help.
(2) Seek medical treatment if necessary, and the drug improves.


Note: To complete these procedures, you must be assigned a role having the necessary permissions. To determine your role, follow the directions in Participant roles. For a basic understanding of roles and permissions, see Permissions and roles: Overview.
To post an assignment you previously saved as a draft:
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plant soil species community soils bacterial composition communities native using rhizosphere origin Supplementary range time field different Table microbial novel differences plants Soil effect Van exotic range-expanding Plant activity congeneric grown {border-style Figure S). analyses effects functioning variation Ecol. px;} #ffffff;} inocula collected "novel" natives pair measured soils, used "own" ./j.-...x Putten enzyme functional experiment higher determined pairs Bacterial Der However, Rorippa Tragopogon United invasive response ("own" Geranium Meisner Netherlands controlled differ ecosystem explained origin, related result samples significantly soil. tested traits ∗∗∗ "novel") Biol. Engelkes Kourtev PERMANOVA diversity performed populations px; structure studies total {font-family DNA Ehrenfeld Morriën Netherlands). analyzed carbon compared data dispersion ecological font-size function genus inoculum new prior profiles properties range-expanders sample second similar substrates weeks < Analyses Boer Funk Furthermore, Geranium, OTU OTUs Sci. Therefore, bold communities. consequences double; experiment. experimental geographical impact influence inoculated linear locations mixed nutrient order phylogenetically points potential present results shifts sites soils. species, species. van weight ./pnas. ./s--- Acad. BV, Biochem. Community Core Enzyme Evol. Grunsven Lankau New Novel Oksanen PCR PCoA Proc. Research Veen abiotic affected air associated background belowground block border-color border-width case catabolic climate communities, comparison der dry following growing growth harvest invasion levels multivariate natives. nitrogen non-congeneric novelty organic parameters point rRNA represented responses richness roots selection solid; specific sterilized tests transformed treatments tubes {font-style {font-weight ./ismej.. ./nature Berg Bezemer Centaurea Centaurea, Fierer ISME Kowalchuk Lett. Microbiol. Mitchell Native Natl. Nature Overall, Phytol. Range-expander Scharfy Signif. States). Team, alter analyses. article assess comparing comparisons composition. conditions conducted control controlling courier; determine did disentangle dissimilarity does em; evenness exception exotics expanders expanding expansion experiments extracted factor factors functions gas genera genus, incubation indicate invasions kept known live means models natives, natural patterns permutations) processes product pt;} random range-expander release replicates respiration root sampling shown significant stored study substrate temperature test underneath water


Maven 2.2.1
Release Notes,
System Requirements,
Installation Instructions
Search Central and other Public Repositories.
Take a look at the Repository Managers available from the community.
Take a look at the CI Servers available from the community.
Take a look at the Code Quality Management platforms available from the community.
We'd like to thank the sponsors of the Apache Software Foundation for their support and assistance. To support the ASF, see the sponsorship page.
Apache Maven is a software project management and comprehension tool. Based on the concept of a project object model (POM), Maven can manage a project's build, reporting and documentation from a central piece of information.
If you think that Maven could help your project, you can find out more information about in the "About Maven" section of the navigation. This includes an in-depth description of what Maven is, a list of some of its main features, and a set of frequently asked questions about what Maven is.
This site is separated into the following sections, depending on how you'd like to use Maven:
Each guide is divided into a number of trails to get you started on a particular topic, and includes a reference area and a "cookbook" of common examples.
You can access the guides at any time from the left navigation.
If you are looking for a quick reference, you can use the documentation index.
For detailed information on just some of the plugins available for Maven, see the plugin list.
Support for Maven is available in a variety of different forms.
To get started, search the documentation, the wiki, issue tracker, or the mailing list archives to see if the problem has been solved or reported before.
If the problem has not been reported before, the recommended way to get help is to subscribe to the Maven Users Mailing list. Many other users and Maven developers will answer your questions there, and the answer will be archived for others in the future.
You can also reach the Maven developers on IRC.
Maven is an open source community and welcomes contributions. If you'd like to get involved, see the Guide to helping with Maven.
Maven is a part of the Apache Software Foundation. We'd like to thank the sponsors that provide financial assistance to the foundation. For more information on how you can support the foundation, see the sponsorship page.


Exercise 4: Update tools and SDK platform
The goal of this exercise is to use the Android SDK Manager to install the latest version of the Android SDK on your development machine.
Many of the build tools and APIs you use will either update automatically or notify you when an update is available. That's not the case for the Android SDK. This exercise shows you the manual steps you will need to follow to keep your installation up-to-date.
There is no code to write here nor is a Xamarin.Android solution required.
To complete the exercise, you will need Visual Studio for Windows or macOS with the Xamarin development tools installed. You will also need either an emulator/simulator or a device to run the exercise on. Please see the setup page if you need help installing the Xamarin development environment.
Open the SDK Manager
- Launch Visual Studio for Mac.
- Open the Android SDK Manager using the Tools > SDK Manager menu option.
- Launch Visual Studio for Windows.
- Open the Android SDK Manager using the Tools > Android > Android SDK Manager menu option.
Launching the SDK Manager from Visual Studio for Windows may require that Visual Studio is running with administrator privileges.
Update the tools
- Update the Android SDK Tools, Android SDK Platform-tools, and the Android SDK Build-tools to the latest versions. The image below highlights the three entries you should update.
Note: the versions you install may be more recent than the ones shown in the image.
Install the latest SDK platform
- Install the latest release version of the SDK platform.
Note: the version you install may be more recent than the one shown in the image.
The image below highlights an example of this.
Warning: it is not recommended to use beta SDK platform releases.
Exercise summary
In this exercise, you updated your Android SDK. This is something that you will need to do periodically and you need to do it manually. At the present time, there is no notification when new versions are available nor is there any auto-update mechanism available. Most developers tend to check for updates at least once a month.


Data Analysis Expressions (DAX) is a programming language that is used throughout Microsoft Power BI for creating calculated columns, measures, and custom tables. It is a collection of functions, operators, and constants that can be used in a formula, or expression, to calculate and return one or more values. You can use DAX to solve a number of calculations and data analysis problems, which can help you create new information from data that is already in your model.
In Power BI, you can use different calculation techniques and functions to create measures or calculated columns. Primarily, you will be able to achieve the same result by using these techniques; however, the key is to know how and when to apply them. By having a basic understanding of when and how to use which technique, you will be able to create robust and high-performance data models.
By the end of this module, you'll be able to:
Build quick measures.
Create calculated columns.
Use DAX to build measures.
Discover how context affects DAX measures.
Use the CALCULATE function to manipulate filters.
Implement time intelligence by using DAX.
DAX allows you to augment the data that you bring in from different data sources by creating a calculated column that didn't originally exist in the data source. This feature should be used sparingly, which will be explained later in this module.
For example, assume that you are importing data from a database that contains sales transactions. Each individual sales transaction has the following columns: Order ID, Product ID, Quantity, and Unit Price. Notice that a column doesn't exist for the total sales amount for each order.
Note
This module is not about data visualization, but it does show data visualization to demonstrate how DAX works. For more information, see the learning path, Visualize data in Power BI.
The following figure shows how the initial shape of the data appears in a Power BI table visual.
You can start using DAX by creating a calculated column that multiplies the unit price with the quantity. The calculated column will create a value for each row called Total Price. Create the new column by selecting the ellipsis (...) button on the table in the Fields list and then selecting New column.
A new DAX formula appears in the formula bar underneath the ribbon at the top.
You can replace the "Column =" default text with the following example text:
Total Price = 'Sales OrderDetails'[Quantity] * 'Sales OrderDetails'[Unit Price]
The value on the left side of the equal sign is the column name. The text on the right side of the equal sign is the DAX expression. This simple DAX expression takes the quantity value and multiplies it with the unit price value for each individual row. It will produce one value for each record in the table. If you drag the new column from the Fields list to the visual, you will see the new values.
The previous screenshot shows that DAX is calculating correctly and displaying the results that you wanted.
Calculated columns are materialized in the .pbix Power BI file extension, meaning that each time you add a calculated column, you are increasing the size of the overall file. Having too many calculated columns will slow performance and will cause you to reach the maximum Power BI data size sooner.
Three ways to create a custom column in Power BI are:
Create the column in the source query when you get the data, for instance, by adding the calculation to a view in a relational database.
Create the custom column in Power Query.
Create a calculated column by using DAX in Power BI.
You can create a calculated column when you pull the data from the data source. Each data source would have a different technique for completing this action. For instance, if you were pulling data from a relational data source by using a view that was written in the SQL language, it would look like the following example:
CREATE VIEW OrdersWithTotalPrice
AS
SELECT unitprice, qty, unitprice * qty as TotalPrice
FROM sales.salesorders
Using SQL language is an efficient way of creating a column because it would make the data source do the calculations for you. In Power BI, the calculated column would appear like any other column.
You can also use Power Query to create a custom column.
The custom column dialog uses the M language to create the new column. M language is out of scope for the purposes of this module.
The third way to create a calculated column is by using DAX in Power BI, as previously demonstrated.
When you create a calculated column by using DAX, you do not need to refresh the dataset to see the new column. In the other methods, you would need a refresh to see changes. This process can be lengthy if you are working with a lot of data. However, this issue is irrelevant because, after columns have been created, they are rarely changed.
The DAX calculated column does not compress as well as the other methods. The other column types do get compressed, which makes the .pbix file smaller and the performance usually faster.
Generally, the earlier you can create a column, the better. It is not considered an optimum practice to use DAX for calculations if you can use a different mechanism.
In addition, one way to avoid using a calculated column is to use one of the X functions, such as SUMX, COUNTX, MINX, and so on. The X functions are beyond the scope of this module; however, they allow you to create measures that are aware of the data in individual rows and calculate totals based on the totals in the row. These functions are called iterator functions because, though they are used in measures, they iterate over the individual rows to do their calculations. An X function will perform better and use less disk space than a calculated column. For more information about X functions, see the Microsoft documentation.
Calculated columns are useful, but you are required to operate row by row. However, other situations might require a simpler method. For example, consider a situation where you want an aggregation that operates over the entire dataset and you want the total sales of all rows. Furthermore, you want to slice and dice that data by other criteria like total sales by year, by employee, or by product.
To accomplish those tasks, you would use a measure. You can build a measure without writing DAX code; Power BI will write it for you when you create a quick measure.
Many available categories of calculations and ways to modify each calculation exist to fit your needs. Another advantage is that you can see the DAX that's implemented by the quick measure while jumpstarting or expanding your own DAX knowledge.
To create a quick measure in Power BI Desktop, right-click or select the ellipsis (...) button next to any item in the Fields pane and then select New quick measure from the menu that appears. The Quick measures screen will appear.
In the Quick measures window, you can select the calculation that you want and the fields to run the calculation against. For instance, you can select a calculation and the column that you want to operate over. Power BI creates the DAX measure for you and displays the DAX. This approach can be a helpful way to learn the DAX syntax.
For more information, see the Use quick measures for common calculations documentation.
Measures are used in some of the most common data analyses.
To continue with the previous scenario, you want to create a measure that totals your new column for the entire dataset. Similar to how you created a calculated column, you can go to the Fields list and select New measure.
Text will now appear in the formula bar underneath the ribbon.
You can replace the "Measure =" text with the following text:
Total Sales = sum('Sales OrderDetails'[Total Price])
The new measure will now appear in the Fields list.
When you drag Total Sales over to the report design surface, you will see the total sales for the entire organization in a column chart.
The fundamental difference between a calculated column and a measure is that a calculated column creates a value for each row in a table. For this reason, the calculated column can only operate over columns that exist in the same table. For example, if the table has 1,000 rows, it will have 1,000 values in the calculated column. Calculated column values are stored in the Power BI .pbix file. Each calculated column will increase the space that is used in that file and potentially increase the refresh time.
Measures are calculated on demand. Power BI calculates the correct value when the user requests it. When you previously dragged the Total Sales measure onto the report, Power BI calculated the correct total and displayed the visual. Measures do not add to the overall disk space of the Power BI .pbix file.
Measures are calculated based on the filters that are used by the report user. These filters combine to create the filter context.


Sample calendar
Display calendar events in multiple views: month, day, and list..
Give visitors detailed information, sharing, printing, reminders, and notification of scheduled events.
Loading...


Finding common ancestor
save
restore
selection:
{{ selection_ids }}
Ancestor:
{{ ancestor_id }}
{{ saved }}


CS 61A
Hog Contest Leaderboard {{ suffix }}
As of {{ timestamp }}
Tip: Click any team to see win rates
{% if links is defined %}
Old Stuff:
{% for name, semester in links %}
{{ semester }}
{% endfor %}
Past Winners
{% else %}
This is an old leaderboard.
Go to Current Contest.
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TechnologyForAll is a skills development hub for digital creatives ages 5+. We are driven by the continuous improvement of our learners, as such we focus daily on introducing relevant tech-based courses and follow set standards to give children the best fun based, learning experience. We offer private coding classes, set up code/STEM clubs for schools, and develop curriculum and other contents for partners.
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Well to start, it's nice to meet you ! , my name is Cristian Robles. I really don't have much experience on a technical programming background other than some coding classes I took in highschool. My education at the moment is my High School Diploma and I recently just started my journey into Software Engineering as a student int Code fellows! So far i'm having a great time and quickly learning and developing new skills and techniques to strife foward into the coding world.
Best Buy
August 2018-Present
Receive truck and work merchandise onto the floor. Maintain warehouse cleaned and organize. Work on daily inventory task such as sending merchandise and returns back to Main Facility. Finding online purchases and fulfilling orders and shipping out and packing items. Keep track of high cost merchandise by keeping count. Use equipment to unload and load merchandise onto wall racks at high places. Help customers on sales floor with questions and tasks. Carry out customers purchases on to vehicles. Keep Sales floor price tags up to date and down stocking. Help Asset protection by looking at cameras and calling out/approaching suspected individuals of theft.
Top Ten Games
- 1. World of Warcraft
- 2. League of Legends
- 3. Call of Duty
- 4. Counter Strike
- 5. Minecraft
- 6. Pokemon
- 7. Final Fantasy
- 8. FIFA
- 9. Dota 2
- 10. Overwatch


Maruti Arena Nov 2019 Cars Discount – Alto, Swift, Ertiga, Dzire, Wagon R
by Team GaadiWaadiWhile some great discounts on Maruti Arena cars continue to be on offer, some vehicles, like the Vitara Brezza, are available at a low discount post Diwali season
With this year’s Diwali season drawing to a close, several car manufacturers have reduced the discount offers on their models to some extent. Same is the case with Maruti Suzuki, which is now offering slightly less discount on most of its models, including top-sellers like Vitara Brezza, Swift and Dzire. Still, however, the buyers of Maruti Arena cars a benefit from some fantastic offers in November 2019. Here’s a model-wise breakup-
1. Maruti Alto 800 BS6
The most affordable model in the company’s lineup, the Alto 800, has been available with a BSVI engine that makes it future-proof. For the ongoing month, the Alto 800 is available with a cash discount of Rs 33,000 and a corporate offer of Rs 5,000. Furthermore, you can get an exchange bonus of Rs 15,000 if you sell your old car to Maruti Suzuki’s True Value used car wing. This takes the total discount to Rs 53,000, which leads to a pretty substantial reduction in the purchase price of this entry-level offering.
2. Maruti Alto K10
The Alto K10 is for those who want some more pep from the company’s budget offering. The 1000cc version of the Alto, like its 800cc version, is available with some fantastic discounts. For the month of November, you get a cash discount of Rs 28,000 and a corporate discount of Rs 5,000. Plus, you can benefit from an exchange bonus of Rs 15,000 on selling your old car to True Value. This translates into savings of up to Rs 48,000. Also, this offer is applicable on both manual and AMT variants of this entry-level model.
| Maruti Suzuki Cars | November 2019 Discounts |
| Maruti Alto 800 BS6 | Rs 33K Cash + 15K Exchange + Rs 5000 Corporate Discount |
| Maruti Alto K10 | Rs 28K Cash + 15K Exchange + Rs 5000 Corporate Discount |
| Maruti Celerio Petrol / CNG | Rs 25K Cash (Petrol MT) / Rs 30K Cash (Petrol AMT, CNG). Additional is Rs 15K Exchange + Rs 5000 Corporate |
| Maruti Eeco Petrol | Rs 15K Cash + 20K Exchange |
| Maruti Wagon-R 1.0 BS4, 1.2 BS6 | Rs 20K Exchange Bonus + Rs 5000 Corporate |
| Maruti Swift BS6 Petrol | Rs 20K Cash + 20K Exchange + Rs 5000 Corporate |
| Maruti Dzire BS6 Petrol | Rs 25k Cash + 20K Exchange + Rs 5000 Corporate |
| Maruti Swift Diesel, Dzire Diesel | Rs 25K Cash (Swift Diesel) / Rs 30K (Dzire Diesel). Additional is 5 Year Warranty + 20K Exchange Bonus + 10K Corporate |
| Maruti Brezza | Rs 38K Cash + 5 Year Warranty + 20K Exchange Bonus + Rs 10K Corporate |
| Maruti Ertiga BS6 Petrol | No Discount Benefits |
3. Maruti Celerio
The Celerio is the one for you if you want a slightly more premium experience than what the Alto K10 offers. The tallboy hatchback, which is available in both petrol and CNG variants, is currently available with discounts of up to Rs 50,000. The petrol manual version gets a cash discount of Rs 25,000, while there is a cash discount of Rs 30,000 on the CNG and Petrol AMT models.
There’s also a corporate discount worth Rs 5,000 and an exchange bonus of Rs 15,000. These discounts make the Celerio pretty fantastic value for money, both for those looking to benefit from the convenience of an AMT or those who want really low running costs of a CNG powertrain.
4. Maruti Eeco
The Maruti Eeco has been pretty successful with replacing the highly popular Omni van in the company’s model lineup. The Versa-based people-mover, which has a much more utilitarian appeal than the considerably premium donor model it is based on, is currently available with a cash discount of Rs 15,000 and an exchange bonus of Rs 20,000 in case you plan to sell your old vehicle to True Value. However, these offers are available only on the petrol model and not on the CNG versions.
5. Maruti Wagon R
While the 1.2-litre variant of the Maruti Wagon R has already received a BS6-compliant engine, the 1.0-litre variant continues to soldier on with a BS4-compliant motor. Anyway, regardless of what engine variant you choose, you can benefit from a corporate discount of Rs 5,000 and an exchange bonus of Rs 20,000 on selling your old car to Maruti Suzuki. There is currently no cash discount offer available on this tallboy as there has been a pretty great demand for the latest generation of the Wagon R.
Maruti is said to be planning a more premium version of the Wagon R that will be sold at Nexa dealerships with the XL5 moniker. However, this model is still some time away and its launch won’t effect the production and availability of the Wagon R in any way whatsoever.
6. Maruti Swift
Even the Maruti Swift is available with a BS6 petrol engine now, while its diesel engine, which can’t be upgraded to achieve BS6 compliance, will be discontinued around the advent of stricter emission norms on 1 April, 2020. Currently, the petrol version of the Maruti Swift is available with benefits worth Rs 45,000. There is a cash discount of Rs 20,000, along with an exchange bonus of Rs 20,000.
There’s also a corporate discount of Rs 5,000. The diesel engine variant, on the other hand, is available with a higher cash discount of Rs 25,000. It’s also being sold with a free 5-year warranty package, an exchange bonus worth Rs 20,000 and a higher corporate discount of Rs 10,000. All this lead to savings of a whopping Rs 65,000 if you factor in the cost of the additional warranty along with other discounts.
7. Maruti Dzire
Even the Swift-based compact sedan, which has been one of the highest selling cars in the country, is available with some great discounts. The petrol version, which comes with a BS6-compliant engine, is available with a cash discount of Rs 25,000 and a corporate discount of Rs 5,000. You also get an exchange bonus of Rs 20,000.
On the other hand, the diesel variant, which, like that of the Swift, will be discontinued around the advent of BSVI norms, is available with some more lucrative discounts. There’s a cash discount of Rs 30,000, free 5-year warranty package, an exchange bonus of Rs 20,000 and a higher corporate discount worth Rs 5,000.
8. Maruti Vitara Brezza
Even with slightly reduced discount schemes this month, the Maruti Vitara Brezza, the top-selling compact SUV in the country, is available with some great offers. There is a cash discount of whopping Rs 38,000, along with a free 5-year warranty package and a corporate discount of Rs 10,000.
Plus, you can get an exchange bonus of Rs 20,000 on selling your old car to Maruti Suzuki. It may be noted here that the Brezza is about to receive a slew of updates, which will include a new set of engines, updated styling and some new features. For now, these discounts are available on both manual and AMT variants. Thanks to these discounts, the Brezza comes across as a great value for money proposition.
It may be noted here that the Maruti S-Presso, which was launched recently and has garnered a good response, isn’t available with any sort of discounts. Moreover, we don’t see this situation changing anytime soon.
On the other hand, even the Maruti Ertiga, which recently received a BS6-compliant 1.5-litre petrol engine and a 1.5-litre diesel engine before that, isn’t on sale with any sort of discount offer. The 1.3-litre diesel engine option of the Ertiga was discontinued a while back but you can ask the local dealerships if they have leftover stocks selling at huge discounts.
Similarly, you can ask for old stock of even cars like the Alto, Swift and Dzire, which recently received BS6-compliant petrol motors. The key here is to bargain hard at the dealership near you to extract the maximum discounts.
While Maruti has finally seen a positive growth in its YoY sales in month of October, the general state of market is still not very good and the dealerships might end up offering some additional discounts keeping in mind the sales slowdown that tends to hit the car industry around the year-end. Hence, the key to achieve maximum discounts on the Maruti Arena cars will be to bargain hard at the dealerships.


WITNESS LIST Pensions & Investments Committee April 14, 1999-8:00A HB 1702 For: Lehr, Mike (Texas Retired Teachers Association) On: Carter, Michael (TRS) Dunlap, Charles (TRS) Jung, Ronnie (TRS) HB 2701 For: Fickel, Ann (Texas Classroom Teachers Association) Gregg, Brock (Self and Association of Texas Professional Educators) Lehr, Mike (Texas Retired Teachers Association) Ross, Joe (Texas School Alliance) Shaw, Larry (United Educators Association) Veselka, Johnny (Self and Texas Association of School Administrators) Wall, Marjorie (Texas State Teachers Association) On: Carter, Michael (TRS) Dunlap, Charles (TRS) HB 2701 Committee Substitute (George) For: Hartman, Eric (Texas Federation of Teachers) HB 3150 For: Shaw, Larry (United Educators Association) On: Lehr, Mike (Texas Retired Teachers Association) HB 3178 On: Kane, Robert (University of Texas System) Malloy, Robert (University of Texas System) HB 3531 Committee Substitute (Greenberg) For: Mack, Erin (Houston Municipal Employees Pension System) Vara, Lonnie (City of Houston) HB 3642 On: Jung, Ronnie (TRS) Liebler, Andy (Office of the Comptroller) HB 3660 For: Harborth, Joyce (Self) On: Jung, Ronnie (TRS) HB 3660 Committee Substitute (Rangel) For: Hartman, Eric (Texas Federation of Teachers)


Created by Andy Stannard / @RockMonkey
A crazy weekend of high energy business development, in a mini start-up accelerator over the course of a weekend.
Failure can be a good thing if you learn form it
Fail fast not hard
You don't need to pitch
Don't have a good idea, well pitch a bad one
It's all About the team - find a team of people you like as well as an idea you like.
It's a good time to try out new skills you don't have to be stuck what your doing for you're day job
Get feedback


Games use P5.js, P5.play and Matter.js libraries in JavaScript.
T-rex
Virtual Pet
Kill The Monster
HotAir Balloon


Comma-separated list of directories to store to S3. Examples:
target/surefire-reports target/surefire-reports,target/failsafe-reports


[gecode-users] 3.1.0 : pkgconfig information missing
Martin Mann
mmann at informatik.uni-freiburg.de
Thu Jun 25 18:48:25 CEST 2009
Hi,
I just encountered that in the current version (3.1.0) the pkgconfig
information is not installed into the "lib"-folder anymore. At least in
my setup when building only static and no shared libraries.
After running "make install" only the libraries are placed in the final
folder but "pkgconfig" subfolder with the additional library information
is created.
Please have a look if this is really a bug within the configure (was
working for 3.0.2). If not I can send further information on my build-setup.
Thanks,
Martin
--
Martin Mann, Dipl. Bioinf.
Bioinformatics - Inst. of Computer Science
Albert-Ludwigs-University Freiburg
Tel: ++49-761-203-8259
Fax: ++49-761-203-7462
http://www.bioinf.uni-freiburg.de/~mmann/
More information about the gecode-users
mailing list


Colour is an open-source Python package providing a comprehensive number of algorithms and datasets for colour science.
It is freely available under the New BSD License terms.
Developed with JetBrains PyCharm.
Colour is an affiliated project of NumFOCUS, a 501(c)(3) nonprofit in the United States.
Sponsors
We are grateful 💖 for the support of our sponsors. If you'd like to join them, please consider becoming a sponsor on OpenCollective.


Jane Doe.
About:
""Lorem ipsum dolor sit amet, consectetur adipiscing elit, sed do eiusmod tempor""
My expertise:Gym, Yoga, Boxing.
Plan:Rs 150 per session (Online:google meet).
BOOK NOW
JOIN BOOTCAMP
About:
""Lorem ipsum dolor sit amet, consectetur adipiscing elit, sed do eiusmod tempor""
My expertise:Gym, Yoga, Boxing.
Plan:Rs 150 per session (Online:google meet).
BOOK NOW
JOIN BOOTCAMP


{include file="Public/header" /}
Prompt
CONTACT US
We appreciate your contact and will be happy to answer your questions
Name
*
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Email
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Where did you order your product and what’s your order ID(If have)
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{include file="Public/footer" /}


| |
|---|
| Initials : AM | |
| Doctor Name: Andrew Mitchell | |
| Number of weekdays worked : | 4 |
| Number of weekends worked : | 5 |
| Number of holidays worked : | 8 |
| Number of days worked as On Site doctor : | 10 |
| Number of days worked as On Call Doctor : | 12 |
| Initials : PM | |
| Doctor Name: Paul Mathew | |
| Number of weekdays worked : | 6 |
| Number of weekends worked : | 7 |
| Number of holidays worked : | 10 |
| Number of days worked as On Site doctor : | 12 |
| Number of days worked as On Call Doctor : | 8 |
| Initials : KA | |
| Doctor Name: Kevin Anderson | |
| Number of weekdays worked : | 4 |
| Number of weekends worked : | 5 |
| Number of holidays worked : | 12 |
| Number of days worked as On Site doctor : | 5 |
| Number of days worked as On Call Doctor : | 15 |
| Initials : PB | |
| Doctor Name: Peter Batterson | |
| Number of weekdays worked : | 15 |
| Number of weekends worked : | 10 |
| Number of holidays worked : | 9 |
| Number of days worked as On Site doctor : | 3 |
| Number of days worked as On Call Doctor : | 5 |
| Initials : GS | |
| Doctor Name: Geoffrey Sanders | |
| Number of weekdays worked : | 20 |
| Number of weekends worked : | 7 |
| Number of holidays worked : | 2 |
| Number of days worked as On Site doctor : | 0 |
| Number of days worked as On Call Doctor : | 12 |
| Initials : RF | |
| Doctor Name: Rebecca Fiala | |
| Number of weekdays worked : | 13 |
| Number of weekends worked : | 8 |
| Number of holidays worked : | 10 |
| Number of days worked as On Site doctor : | 11 |
| Number of days worked as On Call Doctor : | 15 |
| Initials : JB | |
| Doctor Name: John Bell | |
| Number of weekdays worked : | 17 |
| Number of weekends worked : | 10 |
| Number of holidays worked : | 6 |
| Number of days worked as On Site doctor : | 10 |
| Number of days worked as On Call Doctor : | 0 |
| Initials : AK | |
| Doctor Name: Amy Kavanagh | |
| Number of weekdays worked : | 20 |
| Number of weekends worked : | 7 |
| Number of holidays worked : | 9 |
| Number of days worked as On Site doctor : | 2 |
| Number of days worked as On Call Doctor : | 4 |
| Initials : MG | |
| Doctor Name: Maxwell Garrett | |
| Number of weekdays worked : | 25 |
| Number of weekends worked : | 17 |
| Number of holidays worked : | 8 |
| Number of days worked as On Site doctor : | 15 |
| Number of days worked as On Call Doctor : | 10 |


--- layout: default title: Branches of State Government, Part 2 Expert ---
A constitution is a plan for a government.
It The constitution says what a government is supposed to do.
Even small local governments have their local governments' own constitutions.
One way state constitutions are alike is that all of them the state constitutions call for three branches of government.
These The three branches of government are the executive branch, the legislative branch, and the judicial branch.
All three of them the branches of government are supposed to have the same amount of power.
Each of them the branches of government has jobs to do.
The executive branch includes the governor, his or her the governor's staff, the lieutenant governor, and the secretary of state.
It The executive branch is led by the governor.
He or she The governor is elected by the citizens of the state.
The governor of a state sets a budget that controls how its the state's money is spent.
The governor's position in the state government is similar to that the position of the president in the national government.
The governor is like the president because the governor has to approve new laws for them the new laws to go into effect.
The legislative branch of a state writes its the state's laws.
Its The legislative branch's members are elected by the voters of a state.
They The members of the legislative branch can be either senators or representatives.
These people The members of the legislative branch are called legislators.
Their The legislators' job is similar to the job of the legislature at the federal level.
This The legislature at the federal level is called the United States Congress.
The third branch of a state government is the judicial branch.
It The judicial branch includes judges who use the laws of the state to make decisions.
They The judges can be elected by voters or appointed by governors.
Judges decide whether laws follow the state constitution and whether they the laws are being applied fairly.


High Availability for MongoDB
MongoDB is a no-sql database that is very easy to setup and administer.
High availability is achieved using replica sets that provide automatic fail-over. It is important to note that fail-over is automatic, in that it does not require manual interaction.
In this post we examine how replica sets are configured and how automatic failover is achieved. This assumes that mongodb is already installed.
In order to understand replica sets it is important to understand the mongod process. mongod is the process that listens for incoming requests on a certain port and process those requests. If there is only one mongod process involved, then it is a single point of failure, however to incorporate failover using replica sets we create multiple mongod process and designate them as primary, secondary and arbiter.
- Primary -> primary member handles all write operations. It is the current master instance.
- Secondary -> it is a replica set member that replicates the contents of the master database.
- Arbiter -> the purpose of arbiter is to solely vote in elections. Arbiter does not replicate data.
Create 3 mongod instances, once each for primary, secondary and arbiter
At this points, 3 instances are created. It could be verified.
Now, lets define which instance is primary, secondary and arbiter.
Connect to one instance.
At this point, we are in mongo shell, now we create a javascript that a json object that defines the primary, secondary and arbiter.Assigning a priority of 10 means it is primary. After it is defined then rs.initiate is run
At this point, replica set is initiated. Now will create a collection in primary and verify it was replicated in secondary.
Now exit and connect to secondary.
Check the data in created collections, it will give an error initially because secondary needs to be set as slave.
To test the automatic failover, from another window kill the primary and watch the prompt changes to primary of the open mongo shell. Through the use of polling algorithm arbiter detects primary is down and makes secondary as primary.
If you can run a python script, I suggest to perform this test using python. It will help you understand, how application reacts to automatic fail over.
Install pymongo and run this program.
While this program is running, in another window, kill the mongod primary process and restart it after a few seconds.
Clearly, you can see the primary output of the python program alternate between <IP_ADDRESS>:30000 and <IP_ADDRESS>:40000 very seamlessly.
No disruption is observed by the application.


Lets try in-browser editing
This is the editor. // It starts out in plain text mode, # use the control below to load and apply a mode "you'll see the highlighting of" this text /*change*/.


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| | EPtr (EPtrType ptrType, const char *key, EPtr *eptrs, int len) |
| | Initializes a new instance of the EPtr struct. More...
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| | EPtr (EPtrType ptrType, const char *key) |
| | Initializes a new instance of the EPtr struct. More...
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| | EPtr (EPtrType ptrType, const char *key, const char *value) |
| | Initializes a new instance of the EPtr struct. More...
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| | EPtr (const char *key, const char *value) |
| | Initializes a new instance of the EPtr struct. More...
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| | EPtr (const char *key, String value) |
| | Initializes a new instance of the EPtr struct. More...
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| | EPtr (const char *key, const char value) |
| | Initializes a new instance of the EPtr struct. More...
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| | EPtr (const char *key, int value, EPtrType ptrType=Int) |
| | Initializes a new instance of the EPtr struct. More...
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| | EPtr (const char *key, uint32_t value, EPtrType ptrType=Uint) |
| | Initializes a new instance of the EPtr struct. More...
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| | EPtr (const char *key, long value, EPtrType ptrType=Long) |
| | Initializes a new instance of the EPtr struct. More...
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| | EPtr (const char *key, double value, bool asText=false) |
| | Initializes a new instance of the EPtr struct. More...
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| | EPtr (const char *key, bool value) |
| | Initializes a new instance of the EPtr struct. More...
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{% extends 'base.html' %} {% block title %} Our Services {% endblock %} {% block links %} {% load static %} {% endblock %} {% block content %}
For a basic medical consultation, our services normally cost between 25 and 50 dollars depending on the complexity of the case. Cost is evaluated on a case-by-case basis, and won’t be the same for everyone.
Yes, medication can be prescribed by one of our online doctors. While we can prescribe medication however, it is not a guarantee that you will get a prescription, and we may direct you to an in person doctor in some cases.
Healine does not dispense any prescription drugs. If a doctor prescribes you medication, it is submitted to the pharmacy of your choice. You can then pick it up at a later date.


| expect_length {testthat} | R Documentation |
Does code return a vector with the specified length?
expect_length(object, n)
object |
Object to test. Supports limited unquoting to make it easier to generate readable failures within a function or for loop. See quasi_label for more details. |
n |
Expected length. |
expect_vector()
to make assertions about the "size" of a vector
Other expectations:
comparison-expectations
,
equality-expectations
,
expect_error()
,
expect_match()
,
expect_named()
,
expect_null()
,
expect_output()
,
expect_reference()
,
expect_silent()
,
inheritance-expectations
,
logical-expectations
expect_length(1, 1) expect_length(1:10, 10) ## Not run: expect_length(1:10, 1) ## End(Not run)


Post-parsing
PluginsfAbstractFileForm.class.php
PluginsfAbstractFileFormFilter.class.php
PluginsfAbstractFileTable.class.php
PluginsfFilebaseDirectory.class.php
PluginsfFilebaseDirectoryForm.class.php
PluginsfFilebaseDirectoryFormFilter.class.php
PluginsfFilebaseDirectoryTable.class.php
PluginsfFilebaseFile.class.php
PluginsfFilebaseFileForm.class.php
PluginsfFilebaseFileFormFilter.class.php
PluginsfFilebaseFileTable.class.php
sfFilebaseCreaterootTask.class.php
sfFilebaseImportTask.class.php
sfFilebasePlugin.php
sfFilebasePluginDirectory.php
sfFilebasePluginException.php
sfFilebasePluginFile.php
sfFilebasePluginFileExif.php
sfFilebasePluginFileObject.php
sfFilebasePluginGfxEditor.php
sfFilebasePluginGfxEditorAdapterGD.php
sfFilebasePluginGfxEditorAdapterIMagick.php
sfFilebasePluginGfxEditorAdapterInterface.php
sfFilebasePluginImage.php
sfFilebasePluginRecursiveDirectoryIterator.php
sfFilebasePluginRecursiveIteratorIterator.php
sfFilebasePluginStruct.php
sfFilebasePluginThumbnail.php
sfFilebasePluginUploadedFile.php
sfFilebasePluginUploadedFilesManager.php
sfFilebasePluginUtil.php
sfFilebasePluginValidatorFile.php
tagcloudHelper.php
Post-parsing
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Warning - Class sfFilebasePluginUploadedFile parent sfValidatedFile not found
Warning - Class sfFilebasePluginWebRequest parent sfWebRequest not found
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Warning - Class PluginsfAbstractFileFormFilter parent BasesfAbstractFileFormFilter not found
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Warnings:
Warning on line 19 - no @package tag was used in a DocBlock for class sfFilebasePluginGfxEditor
sfFilebasePluginGfxEditorAdapterGD.php
Warnings:
Warning on line 19 - no @package tag was used in a DocBlock for class sfFilebasePluginGfxEditorAdapterGD
Warning on line 252 - Unknown tag "@experimental" used
sfFilebasePluginGfxEditorAdapterIMagick.php
Warnings:
Warning on line 20 - no @package tag was used in a DocBlock for class sfFilebasePluginGfxEditorAdapterIMagick
sfFilebasePluginGfxEditorAdapterInterface.php
Warnings:
Warning on line 19 - no @package tag was used in a DocBlock for interface sfFilebasePluginGfxEditorAdapterInterface
sfFilebasePluginImage.php
Warnings:
Warning on line 21 - no @package tag was used in a DocBlock for class sfFilebasePluginImage
sfFilebasePluginRecursiveDirectoryIterator.php
Warnings:
Warning on line 20 - no @package tag was used in a DocBlock for class sfFilebasePluginRecursiveDirectoryIterator
sfFilebasePluginRecursiveIteratorIterator.php
Warnings:
Warning on line 19 - no @package tag was used in a DocBlock for class sfFilebasePluginRecursiveIteratorIterator
sfFilebasePluginStruct.php
Warnings:
Warning on line 18 - no @package tag was used in a DocBlock for class sfFilebasePluginStruct
Warning on line 117 - example file "$this->setVarname(value) sets "varname" to "value"" does not exist
Warning on line 117 - example file "$this->getVarname() returns valueof "varname", error if not set" does not exist
Warning on line 117 - example file "$this->getVarname(std_value) returns value of "varname" or std_value if not set" does not exist
sfFilebasePluginThumbnail.php
Warnings:
Warning on line 21 - no @package tag was used in a DocBlock for class sfFilebasePluginThumbnail
sfFilebasePluginUploadedFile.php
Warnings:
Warning on line 20 - no @package tag was used in a DocBlock for class sfFilebasePluginUploadedFile
Warning on line 198 - example file "$file->isError(sfFilebaseUploadedFile::UPLOAD_ERR_NO_FILE)" does not exist
Warning on line 198 - example file "$file->isError()" does not exist
sfFilebasePluginUploadedFilesManager.php
Warnings:
Warning on line 21 - no @package tag was used in a DocBlock for class sfFilebasePluginUploadedFilesManager
sfFilebasePluginUtil.php
Warnings:
Warning on line 20 - no @package tag was used in a DocBlock for class sfFilebasePluginUtil
sfFilebasePluginValidatorFile.php
Warnings:
Warning on line 24 - no @package tag was used in a DocBlock for class sfFilebasePluginValidatorFile
tagcloudHelper.php
Warnings:
Warning on line 10 - DocBlock would be page-level, but precedes class "TagcloudHelper", use another DocBlock to document the file
Documentation generated on Mon, 25 May 2009 15:21:39 +0200 by phpDocumentor 1.4.2