Justified Gallery is a JavaScript library that allows you to create an high quality justified gallery of images.
This is a common problem for people who create websites: you have a series of images to display, but you are not sure how to arrange them in an elegant way. Important websites such as 500px, Flickr, or Google display images in an excellent way, justifying them similarly to brick wall. Justified Gallery will give you the power to do that too.
Justified Gallery is a professional and open source library that even 500px, one of the best photography social network, chose for displaying their images!
Release History
3.7
- Compatible with AMD and CommonJS formats using Universal Module Definition pattern (examples provided for Webpack, Browserify, and AMD/RequireJS)
- $.prop() changed to $.attr() because it was creating problems with Foundation
- The library could now be used without necessarily defining it as jQuery plugin. But it still requires jQuery to provide a better browser compatibility.
3.6.5
- For more flexibility, option imgSelector to select the image, given an image entry (e.g. a figure or a div)
- $.attr() changed to $.prop() for better compatibility
- Right to left option
- Prevent gallery height collapse when the page is resized and keep the scroll position
- Avoid width check in case the gallery is not visible
3.6.4
- semplified the possibility to have a gallery of

.
3.6.3
- Added in thumbnailPath an extra parameter which specify the current image. In this way properties of that image could
be read
- Fixed bugs for filter when used specifying a function
- Fixed bugs for filter when norewind is used
- Performance improvements in case of norewind
- Changed the selector behaviour. Only direct children of the gallery can be choose as gallery entry.
- Fixed bug for maxRowHeight
3.6.2
- cssAnimation = true as default. It’s time to move to the future and leave IE in the past.
- fixed cssAnimation
- scrollbar existence check to avoid image resizing flickering
- The boxes could now be configured to have a background color to be visible with waitThumbnailsLoad = false.
- removed the
fixedHeight
option since now this behaviour can be replicated using maxRowHeight
.
- The last row height will be calculated as the average row height of all the other rows. Before the last row height
was always following the rowHeight
option, that could be smaller than the effective height of all the other rows.
For example: a gallery of images of 100x100px in a container of 950px, where rowHeight = 100. That gallery would
contain 9 pictures for each row, and the extra space used for justification. Each row will have approximately an
height of 105px after the justification. In this example the last row height would be 105px, where in the past
it would usually be 100px if not justified.
- other bugfixes
3.6.1
bugfixes
lastRow option can be ‘nojustify’, which is the same as ‘left’, or it can be ‘justify’, ‘center’, ‘right’ or ‘hide’.
refreshSensitivity option, to configure the change in width allowed (in px) without re-building the gallery
thumbnailPath to configure JG with a custom thumbnail selector,
e.g. we want to do select the correct thumbnail changing only a suffix of the current filename
$("#myGallery").justifiedGallery({
thumbnailPath: function (currentPath, width, height) {
if (Math.max(width, height) < 250) {
return currentPath.replace(/(.*)(_[a-z]+)(\..*)/, "$1_small$2");
} else {
return currentPath.replace(/(.*)(_[a-z]+)(\..*)/, "$1_medium$2");
}
}
});
3.6
Sort (works also with infinite scroll)
Filter (works also with infinite scroll)
Randomize images now works also with infinite scroll
Text entries (i.e. without images) support
Destroy method
maxRowHeight could be also a percentage
configurable sizeRangeSuffixes.
e.g. to have only thumbnails and big images it could be:
sizeRangeSuffixes : {
500: '_t',
2000: '_m'
}
Configurable entry selector
Code refactoring
Older versions
3.5.4
- Added the border option
- Fixed some problems with waitThumbnailsLoad and infinite scroll
3.5
The default suffixes are all empty, to be simpler to understand. To have the previous suffixes,
the following settings can be used:
sizeRangeSuffixes : {
'lt100': '_t',
'lt240': '_m',
'lt320': '_n',
'lt500': '',
'lt640': '_z',
'lt1024': '_b'
}
Now is possible to have entries with the structure:

...

Fixed margins
The border of the entire gallery can be customized
Corrected bugs for the callbacks when waitThumbnailsLoad = false
3.4
- Performance improvements
- In presence of width and height attributes in thumbnails, and with the option
‘waitThumbnailsLoad’, the layout is immediately built, and the thumbnails will appear randomly
while they are loaded.
- Other code refactorings to be more performant
- With nojustify, if there is only a row, it doesn’t justify anything. The previous behaviour seems
too like a bug than a feature.
- Infinite scroll example with plain javascript to be more understandable.
- Fixes some bugs with infinite scroll
3.3
No more crops
- Removed some floating point approximations that caused some small crops
Initial opacity settings for the caption to allow them to be always visible
- Can be also configured changing the less file, if one prefers CSS animations
All caption settings in a single object to be more compact
captionSettings : { //ignored with css animations
animationDuration : 500,
visibleOpacity : 0.7,
nonVisibleOpacity : 0.0
},
Justification formulas refactoring to be more maintainable
3.2
- A gallery of
div
can be used instead of a
- Fixed errors for the last rows
- Option to use only css animations (i.e
cssAnimation
)
- Without css animations
- Configurable caption fadein/fadeout time (i.e.
captionsAnimationDuration
)
- Configurable caption final opacity (i.e.
captionsVisibleOpacity
)
- Configurable images fadein time (i.e.
imagesAnimationDuration
)
- Configurable treshold that decides to justify the row also in presence of nojustify (i.e.
justifyThreshold
)
3.1
- Improved the algorithm to reduce the image crops
- Fixed errors with some jQuery versions
- Fixed errors with fixed height
- Settings checks and parsing
- Added event jg.rowflush
3.0
- Totally rewritten!
- Row by row loading
- The plugin doesn’t wait that all the gallery thumbnails are loaded
- A row is printed when the its thumbnails are available
- Non-blocking layout creation
- No more white spaces (If the gallery needs to load a bigger image, it first show the smaller and then replace it with the bigger)
- Improved the algorithm for a better result
- No more white pixels at the end of a row (bugfix)
- Reduced a lot the image crops
- Vertical centering
- Proportional images enlargement looking the image aspect ratio
- Improved the algorithm efficiency
- No more extra tags or new elements added to create the layout
- All the images remain in the DOM, they aren’t deleted or created
- Hence, each tag remains in the links and in the images
- Added
maxRowHeight
option
- Custom captions
- Thumbnails randomization (
randomize
option)
- Statefulness
- can be called again changing only some settings
- can be called again to update the layout (after add or remove of images)
- Infinite scroll capable
- Improved last row behavior
- Last row option changed
justifyLastRow
setting has been renamed to lastRow
, and it accepts: 'justify'
, 'nojustify'
, 'hide'
.
- Option to hide the row if it is incomplete and cannot be justified
- The plugin can justify also with
lastRow = 'nojustify'
, if the free space is small.
- Silent error handling
- If a thumbnail doesn’t exists, it is ignored in the layout (hided)
- If the plugin needs an inexistent thumbnail, it maintains the previous one
- Errors are still visible in the console
- Loading spinner
- Visible when a new row needs to be loaded
- Pure CSS spinner
- Configurable changing the CSS/Less
- Project structure
- Grunt to manage the build
- Less
- Tests
- Javascript and CSS validation
- CSS filename changed to be more standard
- License changed to MIT
- Improved the gallery size check to be less invasive
- Fixed lightbox removal when the page is resized
2.1
- Setting removed: ‘usedSizeRange’, now the plugin do it automatically
- Setting behavior changed: ‘extension’, now it accept a regular expression. The old behavior still works, but is not safe.
- New behavior: if an image defines the attribute
data-safe-src
, this is choice, no matter what the src attribute is. This can be used to avoid the problems with Photon or other services that resize the images, changing the image src
s.
2.0
- Setting removed: ‘lightbox’, now can be done simply with the onComplete callback.
- Added Setting: ‘rel’ to change all the links
rel
attribute.
- Added Setting: ‘target’ to change all the links
target
attribute.
- Setting name changed: ‘complete’ to ‘onComplete’.
- Setting name changed: ‘sizeSuffixes’ to ‘sizeRangeSuffixes’.
- Setting name changed: ‘usedSuffix’ to ‘usedSizeRange’.
- Added the CSS for the div that shows the Justified Gallery errors. Now can be changed, or hided.
Contributing
Important notes
Please don’t edit files in the dist
subdirectory as they are generated via Grunt. You’ll find source code in the src
subdirectory.
Code style
Regarding code style like indentation and whitespace, follow the conventions you see used in the source already.
Modifying the code
Prerequisites:
- Ensure that you have the latest Node.js and npm installed.
- Test that Grunt’s CLI is installed by running
grunt --version
. If the command isn’t found, run npm install -g grunt-cli
. For more information about installing Grunt, see the getting started guide.
- Ensure that you have Bower installed. If not, install it using
npm install -g bower
.
Steps:
- Fork and clone this repository.
- Open a terminal and change the current directory to the cloned folder.
- Run
npm install
to install all dependencies (including bower and Grunt).
- Run
bower install
to install all the dependencies needed for the tests.
- Run
grunt debug
to build the library only for testing (debug mode).
- Run
grunt
to build this project in release mode.
Submitting pull requests
- Create a new branch, please don’t work in your
master
branch directly.
- Add failing tests for the change you want to make.
- Fix stuff.
- Ensure that the written tests don’t fail anymore, as well as the other tests.
- Update the documentation to reflect any changes.
- Push to your fork and submit a pull request.


2020 Dodge Challenger celebrates 50th anniversary with a golden special edition
You knew this was coming
by Joel StocksdaleNext year will mark the 50th anniversary of the original Dodge Challenger. And obviously Dodge wouldn't let that significant date go by without a special version of the 2020 Dodge Challenger. Meet the limited production Dodge Challenger 50th Anniversary Edition.
The package is offered on the V6-powered GT with rear-wheel drive, as well as the R/T, R/T Scat Pack and R/T Scat Pack Widebody. The Hellcat and Hellcat Redeye are left out, but every 2020 example will get special 50th Anniversary badges to make up for that.
On the outside, the package features a matte black hood, roof and trunk lid. V8 models get a body-color Shaker scoop. This marks the first time the Shaker scoop has been available on a Widebody Challenger. Despite having a Shaker scoop, the special edition cars also get the air intake headlights pioneered by the Hellcat, and they have a "50" printed on them to go with the other 50th Anniversary badging. All models get 20-inch wheels. These are finished in what Dodge calls "Gold School." These Challengers can be painted in one of seven colors: Frostbite, Hellraisin, Sinamon Stick, Go Mango, TorRed, F8 Green or the all-new Gold Rush.
Inside the Challenger 50th Anniversary Edition are Nappa leather and Alcantara-covered seats and "Sepia" stitching and embroidery. It's all matched by carbon fiber trim with copper threads woven into it. The instrument cluster and the air vent badge are finished in the car's exterior color.
Dodge will build only 70 of each model in each color as a tribute to the original car's 1970 model year. This means that there will be 490 GTs, 490 R/Ts, 490 R/T Scat Packs and 490 R/T Scat Pack Widebody models for a grand total of 1,960 cars. Each model has a different price for the 50th Anniversary package. It costs $4,995 for the GT, $5,495 for the R/T, and $5,995 for the Scat Pack models. The cars go on sale this coming spring.


public final class WinPcapSamp
extends java.lang.Object
pcap_samp
structure. This class can
change the capture algorithm used by WinPcap. By changing the values within
this specially peered object, before any capture takes place, you can
influence the sampling algorithm used during capture.
| ���������� | �ֶκ�˵�� |
|---|---|
static int |
FIRST_AFTER_N_MS
It defines that we have to return 1 packet every N
milliseconds.
|
static int |
NO_SAMP
No sampling has to be done on the current capture.
|
static int |
ONE_EVERY_N
It defines that only 1 out of N packets must be returned to the
user.
|
private long |
physical
The physical.
|
| ���� | ��������˵�� |
|---|---|
private |
WinPcapSamp(long addr)
This constructor called from JNI to initialize new object.
|
| ���������� | ������˵�� |
|---|---|
int |
getMethod()
Gets the current method type for capture sampling.
|
int |
getValue()
This value depends on the sampling method defined.
|
private static void |
initIDs()
Inits the i ds.
|
void |
setMethod(int method)
Sets the current method type for capturing sampling.
|
void |
setValue(int value)
Sets the value. this value depends on the sampling method
defined.
|
java.lang.String |
toString()
Returns the current values of this object as strings.
|
private volatile long physical
public static final int NO_SAMP
public static final int ONE_EVERY_N
public static final int FIRST_AFTER_N_MS
private WinPcapSamp(long addr)
addr
- physical address of pcap_samp structureprivate static void initIDs()
public int getMethod()
NO_SAMP
- No sampling has to be done on the
current capture
ONE_EVERY_N
- only 1 out of N packets must be
returned to the user
FIRST_AFTER_N_MS
- return 1 packet every N
milliseconds
public void setMethod(int method)
method
- sampling type:
NO_SAMP
- No sampling has to be done on the
current capture
ONE_EVERY_N
- only 1 out of N packets must be
returned to the user
FIRST_AFTER_N_MS
- return 1 packet every N
milliseconds
public int getValue()
public void setValue(int value)
value
- new value; this value depends on the sampling method
defined
public java.lang.String toString()
toString
������ java.lang.Object


Automate Project Information
In this section we will be using CodeFactory to get information about a project, hosted within a Visual Studio solution, and displaying it. This guidiance is expected to accomplish the following:
- How to format a CodeFactory command
- How to consume data from the CodeFactory Framework
- How to create a user interface and display data from CodeFactory
Assumptions
We recommend completing the guidance for Creating a Project prior to starting on this guidance. Click the link below and complete the first part before continuing.
Goals
In this section we are going to create a project command that will display information about the project itself. The following information will be displayed about the project itself:
- Project Name
- Number of project files
- Number of project references
CodeFactory Command Information
CodeFactory commands are raised directly by Visual Studio through the CodeFactory Framework.
Command Title
All CodeFactory commands have a title that is displayed in Visual Studio context menus. The field commandTitle that is hosted within the target command class is where the title for the command is set.
Command Description
All CodeFactory commands have a description that is used on summary screens to explain what the command is used for. The field commandDescription that is hosted within the target command class is where the description is set.
Enable Command
Every command has an override for the method EnableCommandAsync and it provides the Datamodel for the target Solution Explorer element that it represents. The CodeFactory Framework calls this method to determine whether or not this command should be displayed to the user in Visual Studio. There are times that command should not be displayed. For example: If we want to add missing members to a class or, if no members are missing, we would not show the command. With this in mind, the enable command allows you to use the data in the data model to determine if a command should be enabled for usage.
The return from this method is true or false. If set to true, the command will be displayed on the context menu. If set to false, it will not show up on the context menu and no further execution will be performed.
Execute Command
Once a command has been enabled and the user has selected the command from the context menu, CodeFactory will execute the command. CodeFactory will call the Overridden ExecuteCommandAsync implemented in your command class. Like with the enable command it will provide the current data for the target solution explorer element. This is where CodeFactory will execute your custom automation.
Command Implementation
In this section we will implement all the logic that will display the project information. This has been broken down in to sub-sections to provide greater clarity on each set of steps.
Format the Command
Before we begin the automation logic we need to format the command so it is ready for usage by staff. The following steps will be taken to format the command:
Update the Command Title and Description
First we need to set the title and the description of the command so they display correctly in Visual Studio.
The following steps will be performed in the ProjectInformationCommand.cs code file:
- We update the command title to Show Project Information.
From:
private static readonly string commandTitle = "Replace with command title to be displayed in context menu";
To:
private static readonly string commandTitle = "Show Project Information";
- We update the command description to Displays basic information about the project.
From:
private static readonly string commandDescription = "Replace with description of what this command does";
To:
private static readonly string commandDescription = "Displays basic information about the project";
- Once updated should look like this.
Setup then Enable Command
Since we are displaying information about a project, there are no extended conditions to validate, we will just make sure we received a loaded data model from CodeFactory.
- CodeFactory already gives us a fully templated out method. So we will replace the TODO with our enable logic. The provided method is shown below:
- We will replace the TODO line with a check to make sure the data model loaded. When a data model is loaded is has a property to determine if the data model was loaded or if it could not be loaded due to errors. By default the method has a isEnabled variable aready created so we will check to the model is loaded and set isEnabled based on if the model is loaded.
From:
//TODO: Add logic to determine if this command is enabled.
To:
isEnabled = result.IsLoaded;
- Once the code updates are completed, it should look like this:
Testing the Formatted Command
Before we dive into the logic, lets go ahead and test to make sure our command formatting is correct. So we are going to debug our automation we have created so far.
- Click Start Debugging this will be the "Play" button icon on your toolbar with the "Start" label next to it.
You will notice that will start a new instance of Visual Studio. This is by design. CodeFactory automation runs inside of Visual Studio so we debug it from another instance.
- From the What would you like to do? window, click "Create a new project"
Or you can start the same process if you don't use the start up window.
- Click the File menu
- From the context menu select New
- From the sub-context menu select Project
- From the "Create a new project" dialog do the following:
- In the search box type Standard
- Select C# Class Library (.NET Standard)
- Click the Next button
- From the "Configure your new project" dialog do the following:
- In the Project name text box enter CodeFactoryTesting.
- Click Create button
- Once the project and solution have been created they will load. We will reuse this project and solution for all further testing as we complete the automation for this project. To test the CodeFactory command we do the following:
- Right click on the Project node in Solution Explorer.
- From the context menu at the bottom you will see the Show Project Information command.
- Testing complete we know the command is running.
- Close the debugger instance of Visual Studio.
Gather Project Information
Now that the project command has been formatted we are ready to begin the automation logic. We need to get the following information and prepare it to be displayed to the user.
- Project Name - The name of the project itself
- Number of References - The count of how many references are tied to this project
- Number of Files - The number of files that are hosted in this project.
This logic will be hosted directly in the execute command. This gets called by the CodeFactory Framework as soon as the command is selected from the context menu by a developer using our automation.
When we created the project command class it automatically added the ExecuteCommandAsync method. Which looks like this:
The following steps will be taken to add the project information logic to the ExecuteCommandAsync Method.
- We will replace the TODO block with a bounds check to make sure we got a project model that was loaded. If the model is not loaded will use a Messagebox to display a message explaining what happened. From:
//TODO: Add command logic
To:
if (!result.IsLoaded)
{
MessageBox.Show("Could not access the project information. Cannot display the project information",
"No Model Data", MessageBoxButton.OK, MessageBoxImage.Exclamation);
return;
}
Updated code will look like this:
- After our bounds check, we will add the three variables that will be used to store the project information to be displayed.
string projectName = null;
int projectReferences = 0;
int projectFiles = 0;
Updated code will look like this:
- Will capture the project name from the returned data model by entering the following:
projectName = result.Name;
Updated code will look like this:
- Next we will need to get the project references that are assigned to the project. This is done through a CodeFactory API call. Most CodeFactory API calls that talk to Visual Studio are done using an async call. This improves Visual Studio performance by running the tasks in the background, when possible. We get the references and add them to a var parameter to hold the references. Then we will get the count of all references and add it to our projectReferences variable.
var references = await result.GetProjectReferencesAsync();
projectReferences = references.Count;
Updated code will look like this:
- The final data needed from the project is the number of files that are hosted by the project. Like with project references we need to make a CodeFactory API call to get the real time data for each file and folder that is hosted in the project. This API call can access just the project root level, or access all nested levels under folders. We are going to tell it to get all nested levels.
Since there are multiple different data models that represent Visual Studio data. The data that is returned as an inherited data type of all Visual Studio data called a VsModel. The inherited base class tells you what type of model is being represented. You can then cast the model to the target type and use it.
A call is made to get all children of the project and stored in a var named projectChildren. Then, using a where clause on the projectChildren, we select all models that are a document and store it in a var named Files. Finally we set our projectFiles variable with the count of the found files.
var projectChildren = await result.GetChildrenAsync(true);
var files = projectChildren.Where(m => m.ModelType == VisualStudioModelType.Document);
projectFiles = files.Count();
Updated code will look like this:
Build Visual Studio Dialog
Now that we have the project data that we need, we will then focus on building a dialog to display this information in Visual Studio.
- From Solution Explorer we are going to do the following.
- Right click on the Dialog folder under the project folder
- From the context menu select Add
- From the sub-context menu select New Item...
- From the Add New Item dialog, do the following:
- Under Visual C# Items select CodeFactory
- Select Visual Studio User Control
- In the name Field, enter ProjectInformationUserControl.xaml
- Click Add
- Now that the user control has been created it will open the user control XAML file. You will see the default markup for the user control itself. It will look like this:
- Next we are going to set the window title and set the target size of the dialog. We do this by updating the markup for the window title. We also replace the Design height and width. We set the height to 175 pixels and the width to 400 pixels.
WindowTitle="Project Information"
Height="175"
Width="400">
The updated markup will look like this:
- After we have setup our dialog and given it a title, we are going to use a grid layout to format the placement of our data. Since we are working with 3 elements of data we will create a grid with 5 rows and a total of 3 columns.
<Grid.ColumnDefinitions>
<ColumnDefinition Width="20"/>
<ColumnDefinition Width="150"/>
<ColumnDefinition/>
</Grid.ColumnDefinitions>
<Grid.RowDefinitions>
<RowDefinition Height="20"/>
<RowDefinition Height="30"/>
<RowDefinition Height="30"/>
<RowDefinition Height="30"/>
<RowDefinition />
</Grid.RowDefinitions>
The updated markup will look like this:
- Once the layout has been setup, we will add label and text box controls for each piece of project data that is being added to the project.
<Label Name="LabelProjectName" Grid.Row="1" Grid.Column="1" Content="Project Name:" HorizontalAlignment="Right" Margin="0,0,5,0"/>
<TextBox Name="TextBoxProjectName" Grid.Row="1" Grid.Column="2" Margin="5" IsEnabled="False"/>
<Label Name="LabelProjectReferences" Grid.Row="2" Grid.Column="1" Content="Project Reference Count:" HorizontalAlignment="Right" Margin="0,0,5,0"/>
<TextBox Name="TextBoxProjectReferences" Grid.Row="2" Grid.Column="2" Margin="5" Width="40" HorizontalAlignment="Left" IsEnabled="False"/>
<Label Name="LabelProjectFiles" Grid.Row="3" Grid.Column="1" Content="Project File Count:" HorizontalAlignment="Right" Margin="0,0,5,0"/>
<TextBox Name="TextBoxProjectFiles" Grid.Row="3" Grid.Column="2" Margin="5" Width="40" HorizontalAlignment="Left" IsEnabled="False"/>
The updated markup will look like this:
- Next, we wire up the button and register a method to handle the Click event.
<Button Name="ButtonOk" Grid.Row="4" Grid.Column="0" Grid.ColumnSpan="3" Margin="125,15" Content="Ok" Click="ButtonOk_OnClick"/>
Note in the IDE that when you enter the Click attribute it will prompt you to create a new method, let it create the method for you.
The updated markup will look like this:
The final layout of the user control will look like this:
- Now that the layout is complete we will access the code behind file for the user control and make some changes. To do this do the following:
- Click the expander next to the XAML document of the user control itself.
- Select the project file with the same name of the user control ending in .cs
- This will will open the code file for edit.
- After the code behind file has been opened, we are going update the OK button click event method to close the dialog itself. Those familar with WPF will know there is no close method for a user control. This close event is part of the CodeFactory framework and will inform Visual Studio to close the dialog window. The following code will be added to close the dialog when clicked:
Before:
throw new NotImplementedException();
After:
this.Close();
The updated source code will look like this:
- The final step on the dialog is to be able to pass the project data to the user control. We will create a public facing method which will take in the three pieces of information and directly set each control individually.
Those that are familar with WPF would probably used dependency properties. For this example we are keeping it simple for people that are not familar with WPF.
The following method is added to the code behind to set the data.
/// <summary>
/// Sets the project information to be displayed in the dialog
/// </summary>
/// <param name="projectName">The name of the project hosted in the solution.</param>
/// <param name="fileCount">The number of files hosted in the project.</param>
/// <param name="referenceCount">The number of references in the project.</param>
public void SetProjectInformation(string projectName, int fileCount, int referenceCount)
{
this.TextBoxProjectName.Text = projectName;
this.TextBoxProjectFiles.Text = fileCount.ToString();
this.TextBoxProjectReferences.Text = referenceCount.ToString();
}
Create and Display Dialog
Once we have created a dialog and formatted it. Next we will need to create an instance of the dialog user control. Then pass the data that has been collected on the project and display it.
- We navigate back to the ProjectInformationCommand code file. In the ExecuteCommandAsync method we are going to create an instance of the user control.
When working with the user interface we have to make a CodeFactory API call to make the instance of the user control. Behind the covers, CodeFactory wraps the defined user control in a WPF dialog window used by Visual Studio.
In order to access the user interface you have to use a Visual Studio Action. All commands have direct access to all Visual Studio Actions managed by CodeFactory via a property on the command base class.
In the following we call the user interface actions and create a instance of our user control and return it to the var dialog.
var dialog = await VisualStudioActions.UserInterfaceActions
.CreateVsUserControlAsync<ProjectInformationUserControl>();
The updated code looks like the following:
- Once we have created an instance of dialog we will need to pass the project information to the dialog. We will call the public method we created and pass our project data to the dialog.
dialog.SetProjectInformation(projectName,projectFiles,projectReferences);
The updated code looks like the following:
- Now that our data has been set we are ready to display the dialog itself. Once again we will make a CodeFactory API call and display the dialog in Visual Studio.
await VisualStudioActions.UserInterfaceActions.ShowDialogWindowAsync(dialog);
The updated code looks like the following:
Test Completed Command
Now that the project information command has been completed, we will use the debugger to test the logic.
- Click Start Debugging (this will be the play button icon on your toolbar with star next to it).
You will notice that this will start a new instance of Visual Studio. This is by design. CodeFactory automation runs inside of Visual Studio so we debug it from another instance.
- Once the debugger version of Visual Studio loads, do the following:
- Click File
- From the menu select Recent Projects and Solutions
- From the sub-menu select CodeFactoryTesting.sln This will load our testing solution.
During the loading of the solution a number of services are loading. When in debugger mode this can be slow. You will know when your CodeFactory logic is loaded by seeing this message in the lower left hand corner of the window:
- Next, we execute the Project Information command and test our logic by doing the following:
- Right click on the project in the solution
- From the context menu click Show Project Infomation
Visual Studio will then display the dialog with the information about the project.
- Click Ok to close the dialog
- Play with the project Make changes to the project itself, add code files. Maybe add a project reference and then rerun the command the dialog will show the updated information.
Since this is in debug mode, you can go back to the hosting copy of Visual Studio and set break points. You can then step through the code and see how everything executes.
Once you are done, close the debug version of Visual Studio.
Deploying the Automation to Your Solutions
Every time you build your project, the CodeFactory SDK calls an external executable called CFXPackager. This packages up your automation for using in solutions.
In the bin folder of your project is a file with the name of your project with a .CFX file extension.
Copy the CFX file into the solution folder of your target solution you want to use with automation and CodeFactory will load it whenever the solution opens.
Return to Guidance
This concludes the complete training for how to create a CodeFactory project. The link below will take you back to the main guidance page.
Return To Create Project Guidance
The link below will take you back to the Create Project guidance.


Enter an origin and destination below along with a google maps api developer key. Usage rates will apply when pulling images.
Upon clicking go, the images along the provided route will be appended to the DOM.
This page is intended as a sample usage page to get started with.


Daily Buy In Target
Daily Buy In Target:
Lineup Buy Ins
Event 1:
Event 2:
CSV Input
Lineups to Show
Show Lineups on a Particular Date
Show Lineups on This Date:
Leave blank to show all dates. Format date like this '05/22/2016'.
Show Lineups After a Particular Time
Show Lineups After This Time:
Check to See if Player is in the Team's Lineup
Second Event Stacks
Team 1:
Team 2:
Team 3:
Team 4:
Team 5:


Flexbox
First flexbox layout
First flexbox layout
Main axis and cross axis
Understand axis in flexbox
Justify-content
Align on main axis with Justify-content
Align-items property
Align items on the second axis
Align one item the main axis
How to align one item on the main axis
Flex-wrap
Handle flex-wrap
Flex-property
Manage flex shorthand property
Order-property
Understand the order property


Home
Terrorism
Data
Data source:
Main source:
https://ourworldindata.org/terrorism
Background source:
https://en.wikipedia.org/wiki/Terrorism
and
https://en.wikipedia.org/wiki/Definitions_of_terrorism
Files:
Terrorist incidents:
JSON
CSV
Fatal incidents:
JSON
CSV
Non fatal incidents:
JSON
CSV


My first Progressive Web Application
Introduction
- PWA is not an API or technology, its a web development approach.
- Progressively enhance web apps to look and feel like native apps.
- It is not like responsive design to look good on both mobile and web.
- PWA app
- should be reliable (load fast even when you are offline),
- should be fast (respond to user actions)
- should be engaging (by using push notification)
- It works when you dont have internet connection leveraging data cached during your last interaction with your app.


Routes
Travel Directions
Trips
Blocks
Start time
Next Day
End time
Next Day
Exact times
Headway (minutes)
*
required fields


-We do not allow CP / Non-ironical hatespeech / porn / doxxing / pirated content.
-You need to be +18 to access this game.
-Don't trust anythings written on the game, it's all fake news.
-Don't talk about the game.
-Keep in mind t's an experimental project, it will be often broke. For more information contact<EMAIL_ADDRESS>or check my twitter account, @AlexKrunch🚬
ID
Token
or
What you get..
Player ID #{{playerData.id}} 🧠
Player token {{playerData.player_key}}


Several data types are designated to handle rectangles:
type TRect = Windows.TRect;
TRect is redeclared from Windows.h and is compatible with Delphi/Windows API calls.
type TFloatRect = record
case Integer of
0: (Left, Top, Right, Bottom: Single);
1: (TopLeft, BottomRight: TFloatPoint);
end;
A rectangle with floating-point coordinates.
type TFixedRect = record
case Integer of
0: (Left, Top, Right, Bottom: TFixed);
1: (TopLeft, BottomRight: TFixedPoint);
end;
A rectangle with fixed-point coordinates.
[See Also] Creating Rectangles


The following snippet demonstrates how to request data from the Kraken Crypto Price dataset:
from QuantConnect.DataSource import * from QuantConnect.Data.UniverseSelection import * # Kraken accepts both Cash and Margin type account. self.SetBrokerageModel(BrokerageName.Kraken, AccountType.Cash) self.SetBrokerageModel(BrokerageName.Kraken, AccountType.Margin) self.symbol = self.AddCrypto("BTCUSD", Resolution.Minute, Market.Kraken).Symbol self.AddUniverse(CryptoCoarseFundamentalUniverse(Market.Kraken, self.UniverseSettings, self.UniverseSelectionFilter))
using QuantConnect.DataSource; using QuantConnect.Data.UniverseSelection; // Kraken accepts both Cash and Margin type account. SetBrokerageModel(BrokerageName.Kraken, AccountType.Cash); SetBrokerageModel(BrokerageName.Kraken, AccountType.Margin); _symbol = AddCrypto("BTCUSD", Resolution.Minute, Market.Kraken).Symbol; AddUniverse(new CryptoCoarseFundamentalUniverse(Market.Kraken, UniverseSettings, UniverseSelectionFilter));


{% load staticfiles %}
Registration Form
☰
Dashboard
Logout
{% csrf_token %}
{% if error %}
{{ error }}
{% endif %}
Course Registration Form
{% csrf_token %} Roll No:
Registration No:
Session:
Name:
Semester:
Course No. of
Backlog courses
{% with ''|center:30 as range %} {% for _ in range %}
{% endfor %} {% endwith %}
Course No.
Course Title
Credit
Courses to be registered in this semester:
{% with ''|center:10 as range %} {% for _ in range %}
{% endfor %} {% endwith %}
Total Credit of this Semester


app
/
cz.palda97.lpclient.viewmodel.editpipeline
/
EditPipelineViewModel
/
scroll
scroll
var
scroll
:
Boolean
If the app should scroll closer to the components or not.


Toggle navigation
Angular Test
Home
About
Contact
Hello world! This is HTML5 Boilerplate.
{{phone.name}}
{{phone.snippet}}


Princess Marie-Chantal of Greece reveals a rare glimpse inside stunning Manhattan townhouse as she shares a snap of daughter Princess Olympia decorating a huge Christmas tree
by Harriet Johnston For Mailonline- Princess Marie-Chantal of Greece, 51, revealed glimpse of her New York home
- Shared snap as daughter Princess Olympia, 23, decorated an enormous tree
- Showed off huge windows with lavish ruched blinds and elegant wooden floors
Princess Marie-Chantal of Greece has revealed a rare glimpse inside one of her lavish homes, as she showed off her elaborate Christmas tree.
The royal, 51, who lives in New York, shared a peek inside the stunning Manhattan townhouse which she shares with her husband, Crown Prince Pavlos, on Instagram yesterday.
In the snap, her daughter Princess Olympia, 23, can be seen teetering on a dining room chair to decorate an enormous Christmas tree, revealing a glimpse inside their stunning home.
The fashion designer and her family relocated to New York from London several years ago, and moved into the 1913 home which she had previously shared with her parents.
Sharing the image, Princess Marie-Chantal posted: 'Balancing act.'
In the snap, the model can be seen standing on a dark wood dining room chair while leaning across a large Christmas tree to place a bauble on its branches.
The chic and stylish home can be seen in the background, with cream walls and elegant deep wooden flooring, ruched blinds and huge windows with a view into a small courtyard space.
The tree appears to have been placed atop a grey and black carpet decorated with a graphic circle pattern, while the window-seats adorned with green and gold cushions look to be a comfortable place to lounge.
While the enormous Christmas tree appears to have already been adorned with pine cones, twinkling lights and enormous baubles, two huge plastic boxes containing more decorations are visible on the floor of the home.
She went on to share a second snap of her stunning stunning, revealing a blend of traditional gold and red baubles alongside more modern Christmas decoration, including a quirky hot-dog bauble.
As well as the New York home, the Greek royals have four other properties around the world including a house in London, a Cotswolds estate, a holiday home in the Bahamas, as well as a country retreat in Yorkshire.
Marie-Chantal met Crown Prince Pavlos of Greece in New York while she was studying for her degree in History of Art.
She dropped out in her final year when the royal proposed and the couple married in 1995.
Despite her husband being Greece's crown prince, he will never take the throne because of the Greek monarchy was deposed and scrapped in 1973.
The couple, who are parents to Maria-Olympia, Constantine-Alexios, Achileas-Andreas, Odysseas-Kimon and Aristidis-Stavros, have lived between London and New York since 2004.
Crown Prince Pavlos' father King Constantine of Greece ascended the throne in 1964, but was forced to flee in 1967 due to a coup.


← all tutorials
back to the tutorial
Image Overlay Hover Effects
Image Overlay Hover Effects With CSS3 Transitions
Slide In Bottom
Slide In Top
Slide In Left
Slide In Right
Icon Border Animate
Icon Slide In
+
x
+
x
+
x
+
x


{{saved.venue}}
{{saved.address}}
{{saved.addressb}}
{{saved.city}}, {{saved.state}} {{saved.zip}}
{{saved.phone}} Ext. {{saved.phoneExtension}}
{{saved.triviaDay}} at {{saved.triviaTime}}
{{saved.website}}
{{saved.facebook}}
{{saved.referralCode}}
Created: {{saved.created | formatMySQLDate}} by {{saved.createdBy}}
Created By User Type: {{((saved.createdByUserType !== undefined && saved.createdByUserType!=null) ? ((saved.createdByUserType === 'o') ? 'Owner' : 'Host') : '')}}
Updated: {{saved.lastUpdated | formatMySQLDate}} by {{saved.updatedBy}}
Phone Number is Invalid.
Current Saved Joint State: Disabled.


Create a server with Swift Package Manager
Step 1: Create project
To work with Swift Package Manager (SPM) we need to use the command line.
If you're new to this simply open the Terminal (on macOS or Linux) to get started.
Create a directory for our project:
mkdir MyKituraApp && cd MyKituraApp
The name of the directory will also be the name of the generated project.
Initialize the directory as a Swift project:
swift package init --type executable
SPM creates a Swift project stub. All we need to do is add our project dependencies, like Kitura, to the project.
Step 2: Add Kitura to our dependencies
To add Kitura to our dependencies we need to edit the Package.swift file.
Open Package.swift in your default text editor:
open Package.swift
Add Kitura to our dependencies so the Package.swift file looks like this:
// swift-tools-version:x.x
import PackageDescription
let package = Package(
name: "MyKituraApp",
dependencies: [
.package(url: "https://github.com/IBM-Swift/Kitura", from: "x.x.x")
],
targets: [
.target(
name: "MyKituraApp",
dependencies: ["Kitura"]),
.testTarget(
name: "MyKituraAppTests",
dependencies: ["MyKituraApp"]),
]
)
Substitute "x.x.x" with the latest Kitura release and "x.x" with the minimum version of Swift required to build the package (e.g. 4.0, 4.2, 5.0).
Now we can build the project to pull down our new dependency:
swift build
Step 3: Add the server code
Open main.swift in our text editor:
open Sources/MyKituraApp/main.swift
If you are on macOS you can work in Xcode instead. To do this you first need to generate an Xcode project:
swift package generate-xcodeproj
Then just open the Xcode project that is generated:
open MyKituraApp.xcodeproj
Delete the print("Hello, world!") line from the file.
To make use of the methods in Kitura we need to import the Kitura module:
import Kitura
You may get an error here, such as, 'No such module Kitura'.
This is a bug within Xcode, simply build your Xcode project and the error should disappear.
Now that we have access to Kitura's methods we can create an instance of Router:
let router = Router()
Don't worry if you don't know what a Router is, you can learn more in our What is Routing? guide.
Next we need to define a port for our HTTP Server using the router we just created:
Kitura.addHTTPServer(onPort: 8080, with: router)
Finally, we need to start our Kitura server using Kitura's run() method:
Kitura.run()
The run() method never returns, so it should be the last line in your Swift file.
That's it! We've created a simple Kitura server.
Step 4: Start the server
Since we've added code to the main.swift file we need to recompile the project:
swift build
To run the project:
swift run
To run the project in Xcode ensure your build target is set to My Mac then simply run the project.
You may be prompted to allow the app to accept incoming connections.
Navigate to http://localhost:8080.
You should be able to see the Kitura landing page.
Next steps
Kitura Style Guide: Follow our guide to see how a production ready server should be structured.
Routing: Learn about routing and the two types Kitura supports.


Venue Information
Conference Venue
ICSE 2016 will be held at the Rennaisance Austin Hotel in the lovely Austin Arboretum Area on the northwestern edge of Austin proper. Known as “new Austin,” the Austin Arboretum Area has both a business and a residential side. Several of Austin’s major employers—University of Texas, IBM, Dell 3M, EDS, Motorola, and Texas Instruments—are located in the Arboretum Area. But the area also boasts quaint neighborhoods, hike-and-bike trails, and pet-friendly parks. The hotel abuts a walking trail.
We have reserved a block of rooms at the Rennaisance Austin Hotel at a special conference rate of $189 single/$199 double for the period from May 11, 2016 through May 25, 2016. Rooms will be held at the special rate until April 15, 2016.
Self-parking at the hotel is complimentary.
Austin
Austin itself is the capital of the state of Texas, the Lone Star State. Known as the Live Music Capital of the World™, it counts over 200 live venues in the downtown area. Austin prides itself in having something for everyone—an eclectic offering of food, music, entertainment, outdoor recreation, and shopping. Austinites take their slogan “Keeping Austin Weird” very seriously!
Things to do in Austin:
http://www.austintexas.org/visit
http://www.austintexas.gov/resident/about-austin
http://travel.aol.com/travel-guide/united-states/texas/austin-overview
Fast Facts:
Altitude: 489 ft. above sea level
Time Zone: Central Daylight Time (CDT)
Population: 820,611 (2011 U.S. Census)
Average Temperatures in May: 87°F (31°C) HIgh / 67°F (19°C) low
Average Rainfall: 4.36 in (11 cm)
Telephone Area Code: 512
Travel
The Austin metropolitan area is served by the Austin-Bergstrom International Airport (AUS) approximately 18 miles from the Renaissance Austin Hotel. (Airport Phone: +1<PHONE_NUMBER>)
ICSE 2016 attendees will receive a 10% discount on transfer from the Austin-Bergstrom International Airport to the Renaissance Austin Hotel with Super Shuttle or ExecuCar if they book online with the link below (Discount Code: XBQ3V).
http://groups.supershuttle.com/internationalconferenceonsoftwareengineering.html
Full Super Shuttle fare: 20 USD (one way)
Estimated taxi fare: 45 USD (one way)
Driving Directions:
From Austin-Bergstrom International Airport:
- Turn left onto E State Hwy 71 Service Rd.
- Take the ramp on the left onto TX-71 W.
- Take the ramp onto US-183 N.
- Take the ramp to US-183 N/Lampasas.
- Slight left onto US-183 N/Ed Bluestein Blvd. Continue to follow US-183 N.
- Take the exit toward TX-360 Loop/Capital of Tx Hwy/Great Hills Trail. Merge onto Research Blvd.
- Turn left onto TX-360 Loop S.
- Turn right onto Arboretum Blvd. Destination will be on the right.
Visa Support Letters
ACM is able to provide visa support letters to attendees as well as authors with accepted papers, posters, or members of the conference committee. For visa support letters, refer all requests to<EMAIL_ADDRESS>Those requesting a letter should allow up to one week to receive it. All requests are handled in the order they are received. The information below should be included with the request.
- Name (as it appears on attendee’s passport) and mailing address
- The name of the conference attendees is registering for
- Attendee’s registration confirmation number
- Authors may indicate their paper title. Speakers can provide the title of their talk.
- Include a fax number or email address of where letter can be sent


|
Mister Spex
1.0
The project Mister Spex is a funny tool to capture images and display them with overlays such as glasses or big red lips over the normal human face. All images can be saved or recorded. Within this software you have three different mode to get the images (LiveView via webcam, Static image and a playback of a recorded video).
|


SimpleITK
1.1.0
SimpleITK
Code
Common
include
nsstd
Namespaces
functional.h File Reference
#include "
sitkConfigure.h
"
#include <functional>
Include dependency graph for functional.h:
This graph shows which files directly or indirectly include this file:
Go to the source code of this file.
Namespaces
itk
itk::simple
itk::simple::nsstd
Generated on Fri Mar 6 2020 16:06:38 for SimpleITK by
1.8.17


{% extends "layout.html" %} {% block body %}
Rhasspy guessed how the words below are pronounced, but you should check to be sure.
If everything looks good, click Confirm Guesses below.
These are words whose pronunciations you want to customize.
Each line contains a word followed its phonetic pronunciation (separated by spaces):
test T EH S T


Chapter 40 Tree-based models
Classification and regression trees (CART) are a non-parametric decision tree learning technique that produces either classification or regression trees, depending on whether the dependent variable is categorical or numeric, respectively.
CART is both a generic term to describe tree algorithms and also a specific name for Breiman’s original algorithm for constructing classification and regression trees.
- Decision Tree: A tree-shaped graph or model of decisions used to determine a course of action or show a statistical probability.
- Classification Tree: A decision tree that performs classification (predicts a categorical response).
- Regression Tree: A decision tree that performs regression (predicts a numeric response).
- Split Point: A split point occurs at each node of the tree where a decision is made (e.g. x > 7 vs. x ≤ 7).
- Terminal Node: A terminal node is a node which has no descendants (child nodes). Also called a “leaf node.”
Properties of Trees
* Can handle huge datasets.
* Can handle mixed predictors implicitly – numeric and categorical.
* Easily ignore redundant variables.
* Handle missing data elegantly through surrogate splits.
* Small trees are easy to interpret.
* Large trees are hard to interpret.
* Prediction performance is often poor (high variance).
Tree Algorithms
There are a handful of different tree algorithms in addition to Breiman’s original CART algorithm. Namely, ID3, C4.5 and C5.0, all created by Ross Quinlan. C5.0 is an improvement over C4.5, however, the C4.5 algorithm is still quite popular since the multi-threaded version of C5.0 is proprietary (although the single threaded is released as GPL).
CART vs C4.5
Here are some of the differences between CART and C4.5:
- Tests in CART are always binary, but C4.5 allows two or more outcomes.
- CART uses the Gini diversity index to rank tests, whereas C4.5 uses information-based criteria.
- CART prunes trees using a cost-complexity model whose parameters are estimated by cross-validation; C4.5 uses a single-pass algorithm derived from binomial confidence limits.
- With respect to missing data, CART looks for surrogate tests that approximate the outcomes when the tested attribute has an unknown value, but C4.5 apportions the case probabilistically among the outcomes.
Decision trees are formed by a collection of rules based on variables in the modeling data set:
- Rules based on variables’ values are selected to get the best split to differentiate observations based on the dependent variable.
- Once a rule is selected and splits a node into two, the same process is applied to each “child” node (i.e. it is a recursive procedure).
- Splitting stops when CART detects no further gain can be made, or some pre-set stopping rules are met. (Alternatively, the data are split as much as possible and then the tree is later pruned.)
Each branch of the tree ends in a terminal node. Each observation falls into one and exactly one terminal node, and each terminal node is uniquely defined by a set of rules.
40.1 Classification Tree example
Let’s use the data frame kyphosis to predict a type of deformation (kyphosis) after surgery, from age in months (Age), number of vertebrae involved (Number), and the highest vertebrae operated on (Start).
# Classification Tree with rpart
library(rpart)
# grow tree
<- rpart(Kyphosis ~ Age + Number + Start,
fit method="class", data=kyphosis)
printcp(fit) # display the results
##
## Classification tree:
## rpart(formula = Kyphosis ~ Age + Number + Start, data = kyphosis,
## method = "class")
##
## Variables actually used in tree construction:
## [1] Age Start
##
## Root node error: 17/81 = 0.20988
##
## n= 81
##
## CP nsplit rel error xerror xstd
## 1 0.176471 0 1.00000 1.0000 0.21559
## 2 0.019608 1 0.82353 1.1176 0.22433
## 3 0.010000 4 0.76471 1.1176 0.22433
plotcp(fit) # visualize cross-validation results
summary(fit) # detailed summary of splits
## Call:
## rpart(formula = Kyphosis ~ Age + Number + Start, data = kyphosis,
## method = "class")
## n= 81
##
## CP nsplit rel error xerror xstd
## 1 0.17647059 0 1.0000000 1.000000 0.2155872
## 2 0.01960784 1 0.8235294 1.117647 0.2243268
## 3 0.01000000 4 0.7647059 1.117647 0.2243268
##
## Variable importance
## Start Age Number
## 64 24 12
##
## Node number 1: 81 observations, complexity param=0.1764706
## predicted class=absent expected loss=0.2098765 P(node) =1
## class counts: 64 17
## probabilities: 0.790 0.210
## left son=2 (62 obs) right son=3 (19 obs)
## Primary splits:
## Start < 8.5 to the right, improve=6.762330, (0 missing)
## Number < 5.5 to the left, improve=2.866795, (0 missing)
## Age < 39.5 to the left, improve=2.250212, (0 missing)
## Surrogate splits:
## Number < 6.5 to the left, agree=0.802, adj=0.158, (0 split)
##
## Node number 2: 62 observations, complexity param=0.01960784
## predicted class=absent expected loss=0.09677419 P(node) =0.7654321
## class counts: 56 6
## probabilities: 0.903 0.097
## left son=4 (29 obs) right son=5 (33 obs)
## Primary splits:
## Start < 14.5 to the right, improve=1.0205280, (0 missing)
## Age < 55 to the left, improve=0.6848635, (0 missing)
## Number < 4.5 to the left, improve=0.2975332, (0 missing)
## Surrogate splits:
## Number < 3.5 to the left, agree=0.645, adj=0.241, (0 split)
## Age < 16 to the left, agree=0.597, adj=0.138, (0 split)
##
## Node number 3: 19 observations
## predicted class=present expected loss=0.4210526 P(node) =0.2345679
## class counts: 8 11
## probabilities: 0.421 0.579
##
## Node number 4: 29 observations
## predicted class=absent expected loss=0 P(node) =0.3580247
## class counts: 29 0
## probabilities: 1.000 0.000
##
## Node number 5: 33 observations, complexity param=0.01960784
## predicted class=absent expected loss=0.1818182 P(node) =0.4074074
## class counts: 27 6
## probabilities: 0.818 0.182
## left son=10 (12 obs) right son=11 (21 obs)
## Primary splits:
## Age < 55 to the left, improve=1.2467530, (0 missing)
## Start < 12.5 to the right, improve=0.2887701, (0 missing)
## Number < 3.5 to the right, improve=0.1753247, (0 missing)
## Surrogate splits:
## Start < 9.5 to the left, agree=0.758, adj=0.333, (0 split)
## Number < 5.5 to the right, agree=0.697, adj=0.167, (0 split)
##
## Node number 10: 12 observations
## predicted class=absent expected loss=0 P(node) =0.1481481
## class counts: 12 0
## probabilities: 1.000 0.000
##
## Node number 11: 21 observations, complexity param=0.01960784
## predicted class=absent expected loss=0.2857143 P(node) =0.2592593
## class counts: 15 6
## probabilities: 0.714 0.286
## left son=22 (14 obs) right son=23 (7 obs)
## Primary splits:
## Age < 111 to the right, improve=1.71428600, (0 missing)
## Start < 12.5 to the right, improve=0.79365080, (0 missing)
## Number < 3.5 to the right, improve=0.07142857, (0 missing)
##
## Node number 22: 14 observations
## predicted class=absent expected loss=0.1428571 P(node) =0.1728395
## class counts: 12 2
## probabilities: 0.857 0.143
##
## Node number 23: 7 observations
## predicted class=present expected loss=0.4285714 P(node) =0.08641975
## class counts: 3 4
## probabilities: 0.429 0.571
# plot tree
plot(fit, uniform=TRUE,
main="Classification Tree for Kyphosis")
text(fit, use.n=TRUE, all=TRUE, cex=.8)
# create attractive postscript plot of tree
post(fit, title = "Classification Tree for Kyphosis")
# prune the tree
<- prune(fit, cp=fit$cptable[which.min(fit$cptable[,"xerror"]),"CP"])
pfit
# plot the pruned tree
#FIXME: pfit is not a tree just a root error
#plot(pfit, uniform=TRUE,
# main="Pruned Classification Tree for Kyphosis")
#text(pfit, use.n=TRUE, all=TRUE, cex=.8)
#post(pfit, file = "c:/ptree.ps",
# title = "Pruned Classification Tree for Kyphosis")
40.2 Regression Tree example
# Regression Tree Example
library(rpart)
# grow tree
<- rpart(Mileage~Price + Country + Reliability + Type,
fit method="anova", data=cu.summary)
printcp(fit) # display the results
##
## Regression tree:
## rpart(formula = Mileage ~ Price + Country + Reliability + Type,
## data = cu.summary, method = "anova")
##
## Variables actually used in tree construction:
## [1] Price Type
##
## Root node error: 1354.6/60 = 22.576
##
## n=60 (57 observations deleted due to missingness)
##
## CP nsplit rel error xerror xstd
## 1 0.622885 0 1.00000 1.03257 0.175924
## 2 0.132061 1 0.37711 0.53199 0.105050
## 3 0.025441 2 0.24505 0.36948 0.082559
## 4 0.011604 3 0.21961 0.36433 0.077849
## 5 0.010000 4 0.20801 0.37518 0.080670
plotcp(fit) # visualize cross-validation results
summary(fit) # detailed summary of splits
## Call:
## rpart(formula = Mileage ~ Price + Country + Reliability + Type,
## data = cu.summary, method = "anova")
## n=60 (57 observations deleted due to missingness)
##
## CP nsplit rel error xerror xstd
## 1 0.62288527 0 1.0000000 1.0325697 0.17592351
## 2 0.13206061 1 0.3771147 0.5319912 0.10505027
## 3 0.02544094 2 0.2450541 0.3694811 0.08255880
## 4 0.01160389 3 0.2196132 0.3643252 0.07784854
## 5 0.01000000 4 0.2080093 0.3751818 0.08066999
##
## Variable importance
## Price Type Country
## 48 42 10
##
## Node number 1: 60 observations, complexity param=0.6228853
## mean=24.58333, MSE=22.57639
## left son=2 (48 obs) right son=3 (12 obs)
## Primary splits:
## Price < 9446.5 to the right, improve=0.6228853, (0 missing)
## Type splits as LLLRLL, improve=0.5044405, (0 missing)
## Reliability splits as LLLRR, improve=0.1263005, (11 missing)
## Country splits as --LRLRRRLL, improve=0.1243525, (0 missing)
## Surrogate splits:
## Type splits as LLLRLL, agree=0.950, adj=0.750, (0 split)
## Country splits as --LLLLRRLL, agree=0.833, adj=0.167, (0 split)
##
## Node number 2: 48 observations, complexity param=0.1320606
## mean=22.70833, MSE=8.498264
## left son=4 (23 obs) right son=5 (25 obs)
## Primary splits:
## Type splits as RLLRRL, improve=0.43853830, (0 missing)
## Price < 12154.5 to the right, improve=0.25748500, (0 missing)
## Country splits as --RRLRL-LL, improve=0.13345700, (0 missing)
## Reliability splits as LLLRR, improve=0.01637086, (10 missing)
## Surrogate splits:
## Price < 12215.5 to the right, agree=0.812, adj=0.609, (0 split)
## Country splits as --RRLRL-RL, agree=0.646, adj=0.261, (0 split)
##
## Node number 3: 12 observations
## mean=32.08333, MSE=8.576389
##
## Node number 4: 23 observations, complexity param=0.02544094
## mean=20.69565, MSE=2.907372
## left son=8 (10 obs) right son=9 (13 obs)
## Primary splits:
## Type splits as -LR--L, improve=0.515359600, (0 missing)
## Price < 14962 to the left, improve=0.131259400, (0 missing)
## Country splits as ----L-R--R, improve=0.007022107, (0 missing)
## Surrogate splits:
## Price < 13572 to the right, agree=0.609, adj=0.1, (0 split)
##
## Node number 5: 25 observations, complexity param=0.01160389
## mean=24.56, MSE=6.4864
## left son=10 (14 obs) right son=11 (11 obs)
## Primary splits:
## Price < 11484.5 to the right, improve=0.09693168, (0 missing)
## Reliability splits as LLRRR, improve=0.07767167, (4 missing)
## Type splits as L--RR-, improve=0.04209834, (0 missing)
## Country splits as --LRRR--LL, improve=0.02201687, (0 missing)
## Surrogate splits:
## Country splits as --LLLL--LR, agree=0.80, adj=0.545, (0 split)
## Type splits as L--RL-, agree=0.64, adj=0.182, (0 split)
##
## Node number 8: 10 observations
## mean=19.3, MSE=2.21
##
## Node number 9: 13 observations
## mean=21.76923, MSE=0.7928994
##
## Node number 10: 14 observations
## mean=23.85714, MSE=7.693878
##
## Node number 11: 11 observations
## mean=25.45455, MSE=3.520661
# create additional plots
par(mfrow=c(1,2)) # two plots on one page
rsq.rpart(fit) # visualize cross-validation results
##
## Regression tree:
## rpart(formula = Mileage ~ Price + Country + Reliability + Type,
## data = cu.summary, method = "anova")
##
## Variables actually used in tree construction:
## [1] Price Type
##
## Root node error: 1354.6/60 = 22.576
##
## n=60 (57 observations deleted due to missingness)
##
## CP nsplit rel error xerror xstd
## 1 0.622885 0 1.00000 1.03257 0.175924
## 2 0.132061 1 0.37711 0.53199 0.105050
## 3 0.025441 2 0.24505 0.36948 0.082559
## 4 0.011604 3 0.21961 0.36433 0.077849
## 5 0.010000 4 0.20801 0.37518 0.080670
# plot tree
plot(fit, uniform=TRUE,
main="Regression Tree for Mileage ")
text(fit, use.n=TRUE, all=TRUE, cex=.8)
# create attractive postcript plot of tree
post(fit, file = "tree2.ps",
title = "Regression Tree for Mileage ")
# prune the tree
<- prune(fit, cp=0.01160389) # from cptable
pfit
# plot the pruned tree
plot(pfit, uniform=TRUE,
main="Pruned Regression Tree for Mileage")
text(pfit, use.n=TRUE, all=TRUE, cex=.8)
post(pfit, file = "ptree2.ps",
title = "Pruned Regression Tree for Mileage")
Sources
Tree-Based Models at Quick-R by datacamp
UseR! Machine Learnign Turorial


--- layout: post title: "My Week in Review" date: 2017-03-19 07:05:00 +0000 tags: image: https://s3.amazonaws.com/audreywatters/2017-03-19-bloom.jpg imagecredits: https://www.flickr.com/photos/surreal_badger/32604676284 ---
Icon credits: The Noun Project


Proper use of drugs and medicines
Effective from 1 January 1995, medicines prescribed by a doctor for a patient should have the name of the medicine and other relevant information shown clearly on the medicine bag or bottle.
This can let the doctors and nurses manage the drugs and medicines efficiently, medical accidents may therefore decrease.
Classification and Control of Drugs
According to the laws of Hong Kong, medicines are classified into three main categories according to the severity of the diseases they intend for and the magnitude of the side effects they cause.
Details are shown here:
http://www.drugoffice.gov.hk/eps/do/en/consumer/news_informations/knowledge_on_medicines/general_use_on_medicine.html
Keyword:Management
image from virtuosomedmag.com
Background photo by Gatis Gribusts (Flickr)


I'm Web Development and Design Intern at The Sparks Foundation
Welcome you all to Sparks Credit Management System. Our aim is simple easy banking system which help to transfer your credit easily. Transaction History is easy to view for every customer.
Simple dynamic website which has the following specs. Start with creating a dummy data in database for upto 10 customers.


#include <Socket.h>
Inherits lubyk::LuaObject.
List of all members.
Detailed Description
Listen for incoming messages on a given port.
- Bindings info:
- lib_name:'Socket_core' filename:'Socket_core/Socket_core' string_format:'%s:%d --> %s:%d' string_args:'(*userdata)->localHost(), (*userdata)->localPort(), (*userdata)->remoteHost(), (*userdata)->remotePort()'
Definition at line 67 of file Socket.h.
Member Enumeration Documentation
- Enumerator:
-
Definition at line 96 of file Socket.h.
Constructor & Destructor Documentation
| lk::Socket::Socket |
( |
int |
socket_type | ) |
[inline] |
| lk::Socket::~Socket |
( |
| ) |
[inline] |
| lk::Socket::Socket |
( |
int |
fd, |
|
|
const char * |
local_host, |
|
|
const char * |
remote_host, |
|
|
int |
remote_port |
|
) |
| [inline, private] |
Create a socket with an existing file descriptor. This is used as the result of an 'accept()' call.
Definition at line 231 of file Socket.h.
Member Function Documentation
Accept a new incomming connection.
- Returns:
- a new lk.Socket connected to the remote end.
| int lk::Socket::bind |
( |
const char * |
localhost = NULL , |
|
|
int |
port = 0 |
|
) |
| |
Bind socket to a specific interface.
- Returns:
- bound port
| void lk::Socket::close |
( |
| ) |
[inline] |
| bool lk::Socket::connect |
( |
const char * |
host, |
|
|
int |
port |
|
) |
| |
Connect to a remote socket.
- Returns:
- false if the socket is not ready and we should waitWrite and 'connectFinish'.
| void lk::Socket::connectFinish |
( |
| ) |
|
Finish connecting for NON-BLOCKING sockets.
| int lk::Socket::fd |
( |
| ) |
const [inline] |
| static int lk::Socket::get_port |
( |
int |
fd | ) |
[static, private] |
| void lk::Socket::listen |
( |
int |
backlog = BACKLOG | ) |
|
Start listening for incoming connections.
- Parameters:
-
| backlog | number of accepted connections in queue before refusing. |
| const char* lk::Socket::localHost |
( |
| ) |
const [inline] |
Send a message packed with msgpack. Varying parameters. Request = remote call (uses msgpack to encode data). This is really just a sendMsg with a recvMsg.
Definition at line 203 of file Socket.h.
| int lk::Socket::localPort |
( |
| ) |
const [inline] |
| int lk::Socket::port |
( |
| ) |
const [inline] |
Receive a message encoded by msgpack (blocks). For a server, this should typically be used inside the loop. We pass the lua_State to avoid mixing thread contexts. Receive a raw string (not encoded by msgpack). This IO call blocks. We pass the lua_State to avoid mixing thread contexts.
| int lk::Socket::recvAll |
( |
lua_State * |
L | ) |
[private] |
| int lk::Socket::recvBytes |
( |
lua_State * |
L, |
|
|
int |
sz |
|
) |
| [private] |
| int lk::Socket::recvLine |
( |
lua_State * |
L | ) |
[private] |
| const char* lk::Socket::remoteHost |
( |
| ) |
const [inline] |
| int lk::Socket::remotePort |
( |
| ) |
const [inline] |
| void lk::Socket::run |
( |
Thread * |
runner | ) |
[private] |
| int lk::Socket::send |
( |
lua_State * |
L | ) |
|
Send raw bytes without encoding with msgpack. param: string to send.
- Returns:
- number of bytes sent.
| void lk::Socket::setNonBlocking |
( |
| ) |
[inline] |
| void lk::Socket::setRecvTimeout |
( |
int |
timeout | ) |
[inline] |
| void lk::Socket::setSendTimeout |
( |
int |
timeout | ) |
[inline] |
| void lk::Socket::setTimeout |
( |
int |
timeout, |
|
|
int |
opt_name |
|
) |
| [private] |
Member Data Documentation
Buffer that contains received data not yet used by Lua.
Definition at line 88 of file Socket.h.
Bytes already used in the buffer. If buffer_i_ == buffer_length_: there is no more data in the buffer.
Definition at line 84 of file Socket.h.
Number of bytes already received in the buffer.
Definition at line 79 of file Socket.h.
Non-blocking flag when setNonBlocking is called before creating the socket.
Definition at line 93 of file Socket.h.
The documentation for this class was generated from the following file:
- /Users/gaspard/git/lubyk/modules/lk/include/lk/Socket.h


So far my EDA experience has been great ive met some cool people and learnt alot of new stuff already I can see that if I need help it is there and avalible and though the work has been tough ive greatly enjoyed it. i think i will fit in greatly as i love working through issues till they are resolved and i love helping people and im less shy now so i might even ask for help myslef. My expectatons were exactly how the course has turned out so far though while i expected it to be like this it still suprised me. im very exited to work with everyone is such a friendly enviroment though i am a little nervous about speaking to people for the first time


The Waysmeet Center
Home
About
Services
Gallery
Contact
(current)
Contact Details
15 Mill Rd.
Durham, NH 03824
P
:<PHONE_NUMBER>
E
:
<EMAIL_ADDRESS>H
:
Monday - Friday: 9:00 AM to 5:30 PM
Saturday: 10:00 AM to 3:00 PM
Sunday: Closed
Send us Feedback
Name:
Email:
Rate your experience:
Message:
Send Message


{% extends 'about/base.html' %} {% load staticfiles %} {% block title %}Jobs{% endblock title %} {% block about_jobs_active %}active{% endblock %} {% block about_content %}
Learning Equality is a young nonprofit that builds and supports open-source educational software designed to increase learning opportunities for communities with limited or no access to the Internet. We do this work because we believe deeply in the transformative power that learning can have on people's lives, and are passionate about social justice and breaking down the barriers that prevent many people from reaching their full potential and living empowered lives.
We started out as a group of students volunteering on the open-source KA Lite project, an offline version of Khan Academy, which we first announced publicly in December of 2012. An enthusiastic global response led to a flood of requests for support, features, and partnerships, and we soon realized we needed to establish a solid foundation to support the project and the longer-term vision, so we incorporated as a nonprofit in April of 2013. We have been fortunate enough to raise some funding to support our continued work, and now have 7 full-time employees, as well as a number of contractors and interns, alongside a community of volunteers and open-source contributors. We are leasing space in the Qualcomm Institute Innovation Space on the UC San Diego campus, and collaborate closely with researchers and students across the campus.
We’re now looking to grow our core team by hiring people who are aligned with our core values, and who will help us to drive our mission and projects forward, playing a strong collaborative and leadership role in their areas of focus. We have a lot we want to accomplish, and want to continue building a positive, dynamic, and diverse team to help ensure our vision flourishes.
KA Lite has now been installed thousands of times in over 160 countries, in contexts as varied as low-income schools in India, orphanages in Cameroon, prisons across the United States, refugee programs in Lebanon, and First Nations community centers in northern Canada. We continue supporting and improving KA Lite, and enabling deployments around the world.
At the same time, we're in the midst of developing of a new platform, Kolibri, building upon the KA Lite codebase, that will empower users to create, curate, share, and learn from diverse forms of openly licensed content, in both online and offline environments. This will involve building tools for authoring videos and exercises, an app ecosystem for embedding and distributing HTML5 educational bundles, features for discovering and communicating with other devices peer-to-peer over a local network, interfaces and web-based visualizations for exploring student data, and systems for motivating, engaging, and guiding learners.


GenericPolygon
abstract class and give it an AdjustablePolygon, specifying its color, anchor
color, and more.See: Description
| Class | Description |
|---|---|
| AdjustablePolygon |
Arbitrary polygon that can be moved around within a Scene.
|
| AdjustablePolygonTest | |
| AdjustablePolygonTest.AsNonApp | |
| BluePrintCharacteristics |
For the BluePrint Window, allow the user to specify the characteristics in
specific areas of their plot.
|
| BluePrintCharacteristicsTest | |
| GenericPolygon |
All PlotPolygons need to specify the Polygon and Anchors that will appear on
the Plot Design window.
|
| GenericPolygonTest | |
| GenericPolygonTest.AsNonApp | |
| PlotForest |
High density forest.
|
| PlotForestTest | |
| PlotForestTest.AsNonApp | |
| PlotPatio |
Paved outdoor area adjoining a house.
|
| PlotPatioTest | |
| PlotPatioTest.AsNonApp | |
| PlotPlayground |
Playground.
|
| PlotPlaygroundTest | |
| PlotPlaygroundTest.AsNonApp | |
| PlotPool |
Chlorine-and-water filled of water.
|
| PlotPoolTest | |
| PlotPoolTest.AsNonApp | |
| PlotRoad |
Path way for vehicles.
|
| PlotRoadTest | |
| PlotRoadTest.AsNonApp | |
| PlotRock |
Large stone.
|
| PlotRockTest | |
| PlotRockTest.AsNonApp | |
| PlotShed |
Outdoor storage structure.
|
| PlotShedTest | |
| PlotShedTest.AsNonApp |
GenericPolygon
abstract class and give it an AdjustablePolygon, specifying its color, anchor
color, and more.udel.GardenProject.plotObjects.PlotObject}


| {lang fightgroups:member2} | {lang fightgroups:member3} | {lang fightgroups:member4} | {lang fightgroups:member5} | {lang fightgroups:member6} | {lang fightgroups:member7} | {lang fightgroups:member8} | |
|---|---|---|---|---|---|---|---|
| {$member['id']} | {$member['from_user']} | {$member['nickname']} | {$member['address']['cname']} | {$member['address']['tel']} | {$member['address']['province']}{$member['address']['city']}{$member['address']['county']}{$member['address']['detailed_address']} | {lang fightgroups:c27} | |
| {lang fightgroups:member9} |


| Name | Total Lines | Lines of Code | Total Coverage | Code Coverage |
|---|---|---|---|---|
| app/models/user.rb | 66 | 47 | 100.00%
|
100.00%
|
Code reported as executed by Ruby looks like this...and this: this line is also marked as covered.Lines considered as run by rcov, but not reported by Ruby, look like this,and this: these lines were inferred by rcov (using simple heuristics).Finally, here's a line marked as not executed.
1 class User < ActiveRecord::Base |
2 |
3 has_many :goals, :dependent => :destroy |
4 |
5 attr_accessible :username, :email, :password, :password_confirmation |
6 attr_accessor :password |
7 |
8 validates_presence_of :username, :email |
9 validates_uniqueness_of :username, :email |
10 validates_format_of :email, :with => /\A(\S+)@(\S+)\Z/, :allow_nil => true |
11 |
12 validates_presence_of :password, :on => :create |
13 validates_presence_of :password_confirmation, :on => :create |
14 |
15 validates_length_of :password, :minimum => 6 |
16 validates_confirmation_of :password |
17 |
18 before_save :encrypt_password |
19 |
20 def self.authenticate(login, password) |
21 return nil if login.blank? || password.blank? |
22 user = find_by_username(login) || find_by_email(login) |
23 (user && user.authenticated?(password)) ? user : nil |
24 end |
25 |
26 def authenticated?(password) |
27 self.password_hash == User.encrypted_password(password, self.password_salt || "") |
28 end |
29 |
30 # Serialization, overridden for security! |
31 |
32 def to_xml(options={}) |
33 default_serialization_options(options) |
34 super(options) |
35 end |
36 |
37 def to_json(options={}) |
38 default_serialization_options(options) |
39 super(options) |
40 end |
41 |
42 def default_serialization_options(options={}) |
43 options[:only] = [:username, :user_id, :updated_at, :created_at] |
44 end |
45 |
46 private |
47 |
48 def self.secure_digest(*args) |
49 Digest::SHA1.hexdigest(args.flatten.join('--')) |
50 end |
51 |
52 def self.make_token |
53 secure_digest(Time.now, (1..10).map { rand.to_s }) |
54 end |
55 |
56 def self.encrypted_password(password, salt) |
57 secure_digest(password, salt) |
58 end |
59 |
60 def encrypt_password |
61 return if self.password.blank? |
62 self.password_salt = User.make_token |
63 self.password_hash = User.encrypted_password(self.password, self.password_salt) |
64 end |
65 |
66 end |
Generated on Wed May 05 09:12:51 -0600 2010 with rcov 0.9.8


This is the order of a functional path for getting better at LSE. Learn the next one when you feel you're ready to - no need to wait for sub-x.
Learn the EO Flowchart - they contain optimal MU solutions for each EO case
Start tracking LR edges while doing EO, and try to force one LR edge to be on the D layer after you finish EO, and use that to start doing 4a -> 4b pauseless
Learn DFDB recognition and get used to it in order to have pauseless 4b -> 4c transitions


--- layout: default --- {%- include loading.html -%} {%- include header.html -%} {%- include slides.html -%}


Home
Registrations
Students
Class Rooms
Cources
Registration Management
Course
All Course
Date From
Student
Phone
Search
Add New
ID
Course
Start Day
Student
Phone
Email
Address