As of August 2015, Dlayer is now an Open Source project, the text below is from the original "History of Dlayer" page on Dlayer.com.
Thinking back I believe the initial idea for Dlayer solidified in early 2008; it is hard to recall the exact date that I settled on the final idea, but I'm confident that I had been thinking about the concept for a few years before 2008.
Recently I have spent a lot of time thinking about why it took so long for the idea to cement. After reflection, I now know that I wasn't sure of my abilities before 2008, before then I either worked by myself or as part of small teams where I was typically the senior member. I started working with larger and more skilled teams from 2008 and became very conscious I had artificially limited some of my early development projects because I incorrectly thought I lacked the skills to develop them.
There was very nearly a vaguely similar product to Dlayer in 2008, as in I almost started working on a product with two other colleagues from work. At the time I was Head of Development for a small web development company in Newbury, UK, I would have been working on the product with one of the Product Managers, let's call him Foo and the Lead Designer, let's call him Bar.
During a carpool drive home with Bar we pondered working on a project together, the plan was that he would do all the creative work and I would do all the development work; Foo was going to handle all the commercial and marketing.
Before we continue the story I feel I need to state that the proposed product was not Dlayer; it would never have been able to become Dlayer, it was a very simple template driven app. Bar was going to create thousands of small image and HTML assets, and I was going to develop a system that would allow users to join them all together to create whatever they wanted.
On the surface it could be argued that this product and Dlayer are similar, the reality is they couldn't be any more different, In my opinion, it would be analogous to claiming that a unicycle and Mercedes SLK are the same, oh my god, he just made a car analogy. The two products differed both conceptually and architecturally, in addition to that, Dlayer exists on the web; this imagined other product never even got to the planning stage.
Why am I mentioning the other potential product here? Three reasons, firstly, full disclosure, I've no reason to hide anything, secondly, I know there is no link between the two products and there never was. Lastly, this all happened around the time I started working on Dlayer, 2008.
So, to summarise a dull and long story, nothing happened, neither Foo or Bar was willing to commit to the product, even partially, it was all just a wistful dream.
Between 2008 and early 2010 there was little real development on what would later become the product you are reading about here. During the time frame, I wrote thousands of lines of code, but it was either sample programs for feature or documentation. I also create hundreds of diagrams detailing how I intended the app to work, given all that, limited real code.
There is a multitude of reasons for the lack of development, two of the primary reasons being that I met my wife to be and I moved over to contracting rather than full-time development roles, time just managed to get away from me.
In early 2010 it dawned on me not only how long I had been sitting on the concept but how much product I didn't have to show for two years of work. I spent the next few months collating all my documentation and started planning the development of Dlayer. I began in September; I had finally started working on the first real version of the product that would later become the app hosted at Dlayer.com.
During the next 21 months, I created two separate versions of Dlayer, both stalled at the same point; I kept stumbling with how I wanted to handle the relationship between a content page and a content page template.
Hindsight is a beautiful thing, I had gotten far too close to the project, it took a meeting with my best friend, Dan, to realise that. Dan reviewed the latest version of the app, and after a lengthy postmortem I realised my error, Dlayer was far too complicated. I had strayed from my original concept and primary goal, a user, shouldn't need to understand web design or web development, Dlayer at that point, was a tool only usable by web developers.

I started the development of this version of Dlayer on the 1st May 2012; the current specification refers to this version of the app, and it very much mirrors the original concept I started outlining in 2008.


This application allows you to download album covers from Spotify. To start, go to the spotify web player "open.spotify.com", select an album, paste the url in the input and then press download. For further help, click on "configuration" button.
This application allows you to download album covers from Spotify. To start, go to the spotify web player "open.spotify.com", select an album, paste the url in the input and then press download. For further help, click on "configuration" button.
The URL you provided is not correct. Make sure you have copied the correct URL. Only URLs from the Spotify player "open.spotify.com" are currently supported.


We get it.
You're not too comfortable with words.  We are here to help you communicate with your audience and win them over.
You're not too comfortable with words.  We are here to help you communicate with your audience and win them over.


Press
Fiix is evolving with a growing industry. Get all the latest news and updates, and read our company story, one press release at a time.
We are driven by the energy created when people come together
Fiix was started in Toronto by a few ‘fiixers’ that wanted to bring simplicity to the unnecessarily complicated world of maintenance management software. And they wanted to do it with a product that was easy to use and affordable for everyone. Today we’ve grown, but we never forget that we were once the little guys and stay true to our founders’ vision of providing easy-to-use, affordable maintenance management software to the world. We’re the long awaited market disrupters, the true cloud provider, the lightning in a bottle. As a result of the CMMS’ software’s affordability, user friendliness and powerful functionality. Fiix Software expanded to the African Market in 2012 and continues to expand its global footprint to over 3000 clients in 99 countries in 10 different languages.
At Fiix, our mission is to make every maintenance team successful by enabling the adoption of a CMMS. We’re focused on building a better way forward through our core values. And we’re not just talking about software.
We radically and unquestionably disrupt.
We never forget that we were once the little guys.
We are abnormally and relentlessly transparent.
We are proud to be an incessant work in progress.
We evolve the platform every day to deliver more for less.
Press
Fiix is evolving with a growing industry. Get all the latest news and updates, and read our company story, one press release at a time.
Jobs
We’re looking for big thinkers with small egos to join us on our mission to change tomorrow. We’re totally invested in awesome. Fiix offers an impressive showcase of work and life benefits to all of its employees.
CSR
CSR is our commitment to real social change. This outlook is wired into our company DNA, and based around three key concepts: People, profit, and planet.
Press
Fiix is evolving with a growing industry. Get all the latest news and updates, and read our company story, one press release at a time.
Jobs
We’re looking for big thinkers with small egos to join us on our mission to change tomorrow. We’re totally invested in awesome. Fiix offers an impressive showcase of work and life benefits to all of its employees.
CSR
CSR is our commitment to real social change. This outlook is wired into our company DNA, and based around three key concepts: People, profit, and planet.


Maruti 2008 Model ambulance
Rent/Day: $350
Price Details-
- Rent/Day: $150 (negotiable)
- Rent/Week: $900 (negotiable)
- Rent/Month: $3000 (negotiable)
- Service Charge : 150 USD per month, subject to change
- Security Deposit : All Security's Company
- Servicing : Servicing free
Car Overview
- Class: Compact
- Price from: 8.26 USD / day
- Gear box: Auto
- Mileage: Unlimited
- Max passengers: 5
- Fuel: Octen/Petrol
- Max luggage: 1
- Fuel usage: 5-6/100km
- Doors: 4
- Engine capacity: 1400 ccm
- Deposit: 110.00 USD
Internal features:
- A/C full-time
- Audio Music
- Video Music
- Special Set
- Fire exit
- Sound Proof
- Satellite Tracker
- Car Heater
- Mineral Water
- Cold Drinks
External features:
- 4 Doors
- 2 Outlooking Glass
- Awesome Balance System
- Powerful Head Light
- Backup Fuel
- Emergency Break
- Emergency Safety Tools


| Type | Line | Description |
|---|---|---|
| todo | 68 | This currently only implements a small subset of the Symfony DI Component. Extend it. |
| Type | Line | Description |
|---|---|---|
| todo | 69 | Lazy Loading of service ? |
| Type | Line | Description |
|---|---|---|
| todo | 303 | This function isn't easily testable. Fix it! |
| todo | 123 | Don't use SERVER, use the REQUEST |
| Type | Line | Description |
|---|---|---|
| todo | 19 | Refactore MimeType methods into separate class. |
| todo | 461 | This doesn't check the q variable - https://github.com/backend/Backend-PHP-Core/issues/1 |
| todo | 751 | Expand this to include other content types |
| todo | 751 | Refactor so that we can use thirdparty / external parsers - https://github.com/backend/Backend-PHP-Core/issues/2 |
| Type | Line | Description |
|---|---|---|
| todo | 159 | Make the content type header customizable |
| Type | Line | Description |
|---|---|---|
| todo | 153 | Get a way to avoid the duplication between singularize and pluralize |
| Type | Line | Description |
|---|---|---|
| todo | 138 | This isn't optimal. We don't close any unclosed sessions |
| Type | Line | Description |
|---|---|---|
| todo | 23 | |
| todo | 23 | |
| todo | 23 | Make sure we follow http://i.stack.imgur.com/whhD1.png |
| Type | Line | Description |
|---|---|---|
| todo | 36 | refactor the curl functions into a seperate transporte class. |
| todo | 65 | Follow http://ademar.name/blog/2006/04/curl-ssl-certificate-problem-v.html to fix this |
| Type | Line | Description |
|---|---|---|
| todo | 17 | This is a rudimentary implementation of the PDOBinding. It can be improved a lot. |
| todo | 92 | It will be wise to extend the PDOBinding class into driver |


{% extends 'app/base.html' %} {% block title %}Delete Confirmation{% endblock %} {% block content %}
Are you sure you want to delete "{{object}}"?


| fkAnalysis reference pages |
Syntax si = spatialinfo( spike_probability, occupancy_probability [, xlimits, tol])
Description This function will calculate the spatial information of a spike train. The argument spike_prob is a vector of spike probabilities for a set of bins; argument occupancy_prob is the probability that the animal can be found in each bin. Alternatively spike_prob and occupancy_prob can be handles to function that calculate the probability density as a function of x. In this case, the xlimits is required to set the lower and upper boundaries of x. Optionally the tolerance for calculation of the integral can bet set (default = 1e-5).
| psdmat | Toolbox page | create_filter |


Class Reference
| Class | Description |
|---|---|
| backend\assets\AppAsset | |
| backend\controllers\FileController | Site controller |
| backend\controllers\SiteController | Site controller |
| backend\models\Activity | This is the model class for table "activity". |
| backend\models\ActivityHistory | This is the model class for table "activity_history". |
| backend\models\ActivityQuery | |
| backend\models\ActivityRoom | This is the model class for table "activity_room". |
| backend\models\AuthAssignment | This is the model class for table "auth_assignment". |
| backend\models\AuthItem | This is the model class for table "auth_item". |
| backend\models\AuthItemChild | This is the model class for table "auth_item_child". |
| backend\models\AuthRule | This is the model class for table "auth_rule". |
| backend\models\Employee | This is the model class for table "employee". |
| backend\models\EmployeeQuery | |
| backend\models\EmployeeSearch | EmployeeSearch represents the model behind the search form about backend\models\Employee . |
| backend\models\File | This is the model class for table "file". |
| backend\models\LoginForm | Login form |
| backend\models\Meeting | This is the model class for table "meeting". |
| backend\models\Menu | This is the model class for table "menu". |
| backend\models\Message | This is the model class for table "message". |
| backend\models\Migration | This is the model class for table "migration". |
| backend\models\ObjectFile | This is the model class for table "object_file". |
| backend\models\ObjectPerson | This is the model class for table "object_person". |
| backend\models\ObjectReference | This is the model class for table "object_reference". |
| backend\models\Organisation | This is the model class for table "organisation". |
| backend\models\PasswordResetRequestForm | Password reset request form |
| backend\models\Person | This is the model class for table "person". |
| backend\models\PersonActivity | This is the model class for table "person_activity". |
| backend\models\PersonQuery | |
| backend\models\PersonSearch | PersonSearch represents the model behind the search form about backend\models\Person . |
| backend\models\Program | This is the model class for table "program". |
| backend\models\ProgramHistory | This is the model class for table "program_history". |
| backend\models\ProgramQuery | |
| backend\models\ProgramSearch | ProgramSearch represents the model behind the search form about backend\models\Program . |
| backend\models\ProgramSubject | This is the model class for table "program_subject". |
| backend\models\ProgramSubjectHistory | This is the model class for table "program_subject_history". |
| backend\models\Reference | This is the model class for table "reference". |
| backend\models\ResetPasswordForm | Password reset form |
| backend\models\Role | This is the model class for table "role". |
| backend\models\Room | This is the model class for table "room". |
| backend\models\Satker | This is the model class for table "satker". |
| backend\models\SignupForm | Signup form |
| backend\models\Student | This is the model class for table "student". |
| backend\models\Trainer | This is the model class for table "trainer". |
| backend\models\Training | This is the model class for table "training". |
| backend\models\TrainingClass | This is the model class for table "training_class". |
| backend\models\TrainingClassStudent | This is the model class for table "training_class_student". |
| backend\models\TrainingClassStudentAttendance | This is the model class for table "training_class_student_attendance". |
| backend\models\TrainingClassStudentCertificate | This is the model class for table "training_class_student_certificate". |
| backend\models\TrainingClassSubject | This is the model class for table "training_class_subject". |
| backend\models\TrainingClassSubjectTrainerEvaluation | This is the model class for table "training_class_subject_trainer_evaluation". |
| backend\models\TrainingExecutionEvaluation | This is the model class for table "training_execution_evaluation". |
| backend\models\TrainingHistory | This is the model class for table "training_history". |
| backend\models\TrainingSchedule | This is the model class for table "training_schedule". |
| backend\models\TrainingScheduleTrainer | This is the model class for table "training_schedule_trainer". |
| backend\models\TrainingSearch | TrainingSearch represents the model behind the search form about backend\models\Training . |
| backend\models\TrainingStudent | This is the model class for table "training_student". |
| backend\models\TrainingStudentPlan | This is the model class for table "training_student_plan". |
| backend\models\TrainingSubjectTrainerRecommendation | This is the model class for table "training_subject_trainer_recommendation". |
| backend\models\User | This is the model class for table "user". |
| backend\models\UserSearch | UserSearch represents the model behind the search form about backend\models\User . |
| backend\modules\admin\Module | |
| backend\modules\admin\controllers\DefaultController | |
| backend\modules\admin\controllers\EmployeeController | EmployeeController implements the CRUD actions for Employee model. |
| backend\modules\admin\controllers\PersonController | PersonController implements the CRUD actions for Person model. |
| backend\modules\admin\controllers\UserController | UserController implements the CRUD actions for User model. |
| backend\modules\bdk\evaluation\Module | |
| backend\modules\bdk\evaluation\controllers\DefaultController | |
| backend\modules\bdk\evaluation\controllers\Meeting2Controller | Meeting3Controller implements the CRUD actions for Meeting model. |
| backend\modules\bdk\evaluation\controllers\Meeting3Controller | Meeting3Controller implements the CRUD actions for Meeting model. |
| backend\modules\bdk\evaluation\controllers\MeetingController | Meeting3Controller implements the CRUD actions for Meeting model. |
| backend\modules\bdk\evaluation\controllers\Student2Controller | Student2Controller implements the CRUD actions for Student model. |
| backend\modules\bdk\evaluation\controllers\StudentController | Student2Controller implements the CRUD actions for Student model. |
| backend\modules\bdk\evaluation\controllers\Training2Controller | Training2Controller implements the CRUD actions for Training model. |
| backend\modules\bdk\evaluation\controllers\Training3Controller | |
| backend\modules\bdk\evaluation\controllers\TrainingClass2Controller | TrainingClassController implements the CRUD actions for TrainingClass model. |
| backend\modules\bdk\evaluation\controllers\TrainingClassStudent2Controller | TrainingClassStudentController implements the CRUD actions for TrainingClassStudent model. |
| backend\modules\bdk\evaluation\controllers\TrainingController | Training2Controller implements the CRUD actions for Training model. |
| backend\modules\bdk\evaluation\models\ActivityRoomExtensionSearch | ActivityRoomSearch represents the model behind the search form about backend\models\ActivityRoom . |
| backend\modules\bdk\evaluation\models\ActivityRoomSearch | ActivityRoomSearch represents the model behind the search form about backend\models\ActivityRoom . |
| backend\modules\bdk\evaluation\models\ActivitySearch | ActivitySearch represents the model behind the search form about backend\models\Activity . |
| backend\modules\bdk\evaluation\models\PersonSearch | PersonSearch represents the model behind the search form about backend\models\Person . |
| backend\modules\bdk\evaluation\models\RoomSearch | RoomSearch represents the model behind the search form about backend\models\Room . |
| backend\modules\bdk\evaluation\models\StudentSearch | StudentSearch represents the model behind the search form about backend\models\Student . |
| backend\modules\bdk\evaluation\models\TrainingClassController | TrainingClassController implements the CRUD actions for TrainingClass model. |
| backend\modules\bdk\evaluation\models\TrainingClassSearch | TrainingClassSearch represents the model behind the search form about backend\models\TrainingClass . |
| backend\modules\bdk\evaluation\models\TrainingClassStudentSearch | TrainingClassStudentSearch represents the model behind the search form about backend\models\TrainingClassStudent . |
| backend\modules\bdk\evaluation\models\TrainingClassSubjectSearch | TrainingClassSubjectSearch represents the model behind the search form about backend\models\TrainingClassSubject . |
| backend\modules\bdk\evaluation\models\TrainingScheduleExtSearch | TrainingScheduleSearch represents the model behind the search form about backend\models\TrainingSchedule . |
| backend\modules\bdk\evaluation\models\TrainingScheduleSearch | TrainingScheduleSearch represents the model behind the search form about backend\models\TrainingSchedule . |
| backend\modules\bdk\evaluation\models\TrainingStudentSearch | TrainingStudentSearch represents the model behind the search form about backend\models\TrainingStudent . |
| backend\modules\bdk\execution\Module | |
| backend\modules\bdk\execution\controllers\Activity2Controller | ActivityController implements the CRUD actions for Activity model. |
| backend\modules\bdk\execution\controllers\ActivityController | ActivityController implements the CRUD actions for Activity model. |
| backend\modules\bdk\execution\controllers\ActivityRoomController | ActivityRoomController implements the CRUD actions for ActivityRoom model. |
| backend\modules\bdk\execution\controllers\DefaultController | |
| backend\modules\bdk\execution\controllers\RoomController | RoomController implements the CRUD actions for Room model. |
| backend\modules\bdk\execution\controllers\Student2Controller | StudentController implements the CRUD actions for Student model. |
| backend\modules\bdk\execution\controllers\StudentController | StudentController implements the CRUD actions for Student model. |
| backend\modules\bdk\execution\controllers\TrainingClassStudentAttendanceController | |
| backend\modules\bdk\execution\controllers\TrainingScheduleTrainerAttendanceController | |
| backend\modules\bdk\execution\models\ActivityRoomExtensionSearch | ActivityRoomSearch represents the model behind the search form about backend\models\ActivityRoom . |
| backend\modules\bdk\execution\models\ActivityRoomSearch | ActivityRoomSearch represents the model behind the search form about backend\models\ActivityRoom . |
| backend\modules\bdk\execution\models\ActivitySearch | ActivitySearch represents the model behind the search form about backend\models\Activity . |
| backend\modules\bdk\execution\models\PersonSearch | PersonSearch represents the model behind the search form about backend\models\Person . |
| backend\modules\bdk\execution\models\RoomSearch | RoomSearch represents the model behind the search form about backend\models\Room . |
| backend\modules\bdk\execution\models\StudentSearch | StudentSearch represents the model behind the search form about backend\models\Student . |
| backend\modules\bdk\execution\models\TrainingClassController | TrainingClassController implements the CRUD actions for TrainingClass model. |
| backend\modules\bdk\execution\models\TrainingClassSearch | TrainingClassSearch represents the model behind the search form about backend\models\TrainingClass . |
| backend\modules\bdk\execution\models\TrainingClassStudentSearch | TrainingClassStudentSearch represents the model behind the search form about backend\models\TrainingClassStudent . |
| backend\modules\bdk\execution\models\TrainingClassSubjectSearch | TrainingClassSubjectSearch represents the model behind the search form about backend\models\TrainingClassSubject . |
| backend\modules\bdk\execution\models\TrainingScheduleExtSearch | TrainingScheduleSearch represents the model behind the search form about backend\models\TrainingSchedule . |
| backend\modules\bdk\execution\models\TrainingScheduleSearch | TrainingScheduleSearch represents the model behind the search form about backend\models\TrainingSchedule . |
| backend\modules\bdk\execution\models\TrainingStudentSearch | TrainingStudentSearch represents the model behind the search form about backend\models\TrainingStudent . |
| backend\modules\bdk\general\Module | |
| backend\modules\bdk\general\controllers\Activity3Controller | ActivityController implements the CRUD actions for Activity model. |
| backend\modules\bdk\general\controllers\DefaultController | |
| backend\modules\bdk\general\controllers\Employee2Controller | EmployeeController implements the CRUD actions for Employee model. |
| backend\modules\bdk\general\controllers\MeetingActivity3Controller | ActivityController implements the CRUD actions for Activity model. |
| backend\modules\bdk\general\controllers\Person2Controller | PersonController implements the CRUD actions for Person model. |
| backend\modules\bdk\general\controllers\Room3Controller | Room3Controller implements the CRUD actions for Room model. |
| backend\modules\bdk\general\controllers\RoomRequest3Controller | ActivityController implements the CRUD actions for Activity model. |
| backend\modules\bdk\general\controllers\User2Controller | UserController implements the CRUD actions for User model. |
| backend\modules\bdk\general\models\ActivityRoomSearch | ActivityRoomSearch represents the model behind the search form about backend\models\ActivityRoom . |
| backend\modules\bdk\general\models\ActivitySearch | ActivitySearch represents the model behind the search form about backend\models\Activity . |
| backend\modules\bdk\general\models\EmployeeSearch | EmployeeSearch represents the model behind the search form about backend\models\Employee . |
| backend\modules\bdk\general\models\MeetingActivitySearch | ActivitySearch represents the model behind the search form about backend\models\Activity . |
| backend\modules\bdk\general\models\PersonSearch | PersonSearch represents the model behind the search form about backend\models\Person . |
| backend\modules\bdk\general\models\RoomSearch | RoomSearch represents the model behind the search form about backend\models\Room . |
| backend\modules\bdk\general\models\TrainingActivitySearch | ActivitySearch represents the model behind the search form about backend\models\Activity . |
| backend\modules\bdk\general\models\UserSearch | UserSearch represents the model behind the search form about backend\models\User . |
| backend\modules\pusdiklat\evaluation\Module | |
| backend\modules\pusdiklat\evaluation\controllers\Activity2Controller | ActivityController implements the CRUD actions for Activity model. |
| backend\modules\pusdiklat\evaluation\controllers\Activity3Controller | ActivityController implements the CRUD actions for Activity model. |
| backend\modules\pusdiklat\evaluation\controllers\ActivityController | ActivityController implements the CRUD actions for Activity model. |
| backend\modules\pusdiklat\evaluation\controllers\DefaultController | |
| backend\modules\pusdiklat\evaluation\controllers\MeetingActivity2Controller | ActivityController implements the CRUD actions for Activity model. |
| backend\modules\pusdiklat\evaluation\controllers\MeetingActivity3Controller | ActivityController implements the CRUD actions for Activity model. |
| backend\modules\pusdiklat\evaluation\controllers\MeetingActivityController | ActivityController implements the CRUD actions for Activity model. |
| backend\modules\pusdiklat\evaluation\controllers\TrainingClassSubjectTrainerEvaluationController | TrainingClassSubjectTrainerEvaluationController implements the CRUD actions for TrainingClassSubjectTrainerEvaluation model. |
| backend\modules\pusdiklat\evaluation\models\ActivityRoomExtensionSearch | ActivityRoomSearch represents the model behind the search form about backend\models\ActivityRoom . |
| backend\modules\pusdiklat\evaluation\models\ActivityRoomSearch | ActivityRoomSearch represents the model behind the search form about backend\models\ActivityRoom . |
| backend\modules\pusdiklat\evaluation\models\ActivitySearch | ActivitySearch represents the model behind the search form about backend\models\Activity . |
| backend\modules\pusdiklat\evaluation\models\MeetingActivitySearch | ActivitySearch represents the model behind the search form about backend\models\Activity . |
| backend\modules\pusdiklat\evaluation\models\PersonSearch | PersonSearch represents the model behind the search form about backend\models\Person . |
| backend\modules\pusdiklat\evaluation\models\RoomSearch | RoomSearch represents the model behind the search form about backend\models\Room . |
| backend\modules\pusdiklat\evaluation\models\StudentSearch | StudentSearch represents the model behind the search form about backend\models\Student . |
| backend\modules\pusdiklat\evaluation\models\TrainingActivitySearch | ActivitySearch represents the model behind the search form about backend\models\Activity . |
| backend\modules\pusdiklat\evaluation\models\TrainingClassController | TrainingClassController implements the CRUD actions for TrainingClass model. |
| backend\modules\pusdiklat\evaluation\models\TrainingClassSearch | TrainingClassSearch represents the model behind the search form about backend\models\TrainingClass . |
| backend\modules\pusdiklat\evaluation\models\TrainingClassStudentSearch | TrainingClassStudentSearch represents the model behind the search form about backend\models\TrainingClassStudent . |
| backend\modules\pusdiklat\evaluation\models\TrainingClassSubjectSearch | TrainingClassSubjectSearch represents the model behind the search form about backend\models\TrainingClassSubject . |
| backend\modules\pusdiklat\evaluation\models\TrainingClassSubjectTrainerEvaluationSearch | TrainingClassSubjectTrainerEvaluationSearch represents the model behind the search form about backend\models\TrainingClassSubjectTrainerEvaluation . |
| backend\modules\pusdiklat\evaluation\models\TrainingExecutionEvaluationSearch | TrainingExecutionEvaluationSearch represents the model behind the search form about backend\models\TrainingExecutionEvaluation . |
| backend\modules\pusdiklat\evaluation\models\TrainingScheduleExtSearch | TrainingScheduleSearch represents the model behind the search form about backend\models\TrainingSchedule . |
| backend\modules\pusdiklat\evaluation\models\TrainingScheduleSearch | TrainingScheduleSearch represents the model behind the search form about backend\models\TrainingSchedule . |
| backend\modules\pusdiklat\evaluation\models\TrainingStudentSearch | TrainingStudentSearch represents the model behind the search form about backend\models\TrainingStudent . |
| backend\modules\pusdiklat\execution\Module | |
| backend\modules\pusdiklat\execution\controllers\Activity2Controller | |
| backend\modules\pusdiklat\execution\controllers\ActivityController | ActivityController implements the CRUD actions for Activity model. |
| backend\modules\pusdiklat\execution\controllers\ActivityRoomController | ActivityRoomController implements the CRUD actions for ActivityRoom model. |
| backend\modules\pusdiklat\execution\controllers\DefaultController | |
| backend\modules\pusdiklat\execution\controllers\MeetingActivity2Controller | ActivityController implements the CRUD actions for Activity model. |
| backend\modules\pusdiklat\execution\controllers\MeetingActivityController | ActivityController implements the CRUD actions for Activity model. |
| backend\modules\pusdiklat\execution\controllers\RoomController | RoomController implements the CRUD actions for Room model. |
| backend\modules\pusdiklat\execution\controllers\Student2Controller | StudentController implements the CRUD actions for Student model. |
| backend\modules\pusdiklat\execution\controllers\StudentController | StudentController implements the CRUD actions for Student model. |
| backend\modules\pusdiklat\execution\controllers\TrainerController | TrainerController implements the CRUD actions for Trainer model. |
| backend\modules\pusdiklat\execution\controllers\TrainingClassController | TrainingClassController implements the CRUD actions for TrainingClass model. |
| backend\modules\pusdiklat\execution\controllers\TrainingClassStudentAttendanceController | |
| backend\modules\pusdiklat\execution\controllers\TrainingClassStudentController | TrainingClassStudentController implements the CRUD actions for TrainingClassStudent model. |
| backend\modules\pusdiklat\execution\controllers\TrainingClassSubjectController | TrainingClassSubjectController implements the CRUD actions for TrainingClassSubject model. |
| backend\modules\pusdiklat\execution\controllers\TrainingClassSubjectTrainerController | TrainingClassSubjectTrainerController implements the CRUD actions for TrainingClassSubjectTrainer model. |
| backend\modules\pusdiklat\execution\controllers\TrainingController | TrainingController implements the CRUD actions for Training model. |
| backend\modules\pusdiklat\execution\controllers\TrainingHonourController | TrainingClassSubjectController implements the CRUD actions for TrainingClassSubject model. |
| backend\modules\pusdiklat\execution\controllers\TrainingScheduleTrainerAttendanceController | |
| backend\modules\pusdiklat\execution\models\ActivityRoomExtensionSearch | ActivityRoomSearch represents the model behind the search form about backend\models\ActivityRoom . |
| backend\modules\pusdiklat\execution\models\ActivityRoomSearch | ActivityRoomSearch represents the model behind the search form about backend\models\ActivityRoom . |
| backend\modules\pusdiklat\execution\models\ActivitySearch | ActivitySearch represents the model behind the search form about backend\models\Activity . |
| backend\modules\pusdiklat\execution\models\MeetingActivitySearch | ActivitySearch represents the model behind the search form about backend\models\Activity . |
| backend\modules\pusdiklat\execution\models\PersonSearch | PersonSearch represents the model behind the search form about backend\models\Person . |
| backend\modules\pusdiklat\execution\models\RoomSearch | RoomSearch represents the model behind the search form about backend\models\Room . |
| backend\modules\pusdiklat\execution\models\StudentSearch | StudentSearch represents the model behind the search form about backend\models\Student . |
| backend\modules\pusdiklat\execution\models\TrainingActivitySearch | ActivitySearch represents the model behind the search form about backend\models\Activity . |
| backend\modules\pusdiklat\execution\models\TrainingClassController | TrainingClassController implements the CRUD actions for TrainingClass model. |
| backend\modules\pusdiklat\execution\models\TrainingClassSearch | TrainingClassSearch represents the model behind the search form about backend\models\TrainingClass . |
| backend\modules\pusdiklat\execution\models\TrainingClassStudentSearch | TrainingClassStudentSearch represents the model behind the search form about backend\models\TrainingClassStudent . |
| backend\modules\pusdiklat\execution\models\TrainingClassSubjectSearch | TrainingClassSubjectSearch represents the model behind the search form about backend\models\TrainingClassSubject . |
| backend\modules\pusdiklat\execution\models\TrainingScheduleExtSearch | TrainingScheduleSearch represents the model behind the search form about backend\models\TrainingSchedule . |
| backend\modules\pusdiklat\execution\models\TrainingScheduleSearch | TrainingScheduleSearch represents the model behind the search form about backend\models\TrainingSchedule . |
| backend\modules\pusdiklat\execution\models\TrainingStudentSearch | TrainingStudentSearch represents the model behind the search form about backend\models\TrainingStudent . |
| backend\modules\pusdiklat\general\Module | |
| backend\modules\pusdiklat\general\controllers\Activity2Controller | ActivityController implements the CRUD actions for Activity model. |
| backend\modules\pusdiklat\general\controllers\Activity3Controller | ActivityController implements the CRUD actions for Activity model. |
| backend\modules\pusdiklat\general\controllers\ActivityController | ActivityController implements the CRUD actions for Activity model. |
| backend\modules\pusdiklat\general\controllers\ActivityRoom3Controller | ActivityRoomController implements the CRUD actions for ActivityRoom model. |
| backend\modules\pusdiklat\general\controllers\ActivityRoomController | ActivityRoomController implements the CRUD actions for ActivityRoom model. |
| backend\modules\pusdiklat\general\controllers\Assignment0Controller | UserController implements the CRUD actions for User model. |
| backend\modules\pusdiklat\general\controllers\DefaultController | |
| backend\modules\pusdiklat\general\controllers\EmployeeController | EmployeeController implements the CRUD actions for Employee model. |
| backend\modules\pusdiklat\general\controllers\Meeting3Controller | Meeting3Controller implements the CRUD actions for Meeting model. |
| backend\modules\pusdiklat\general\controllers\MeetingActivity2Controller | ActivityController implements the CRUD actions for Activity model. |
| backend\modules\pusdiklat\general\controllers\MeetingActivity3Controller | ActivityController implements the CRUD actions for Activity model. |
| backend\modules\pusdiklat\general\controllers\MeetingActivityController | ActivityController implements the CRUD actions for Activity model. |
| backend\modules\pusdiklat\general\controllers\MeetingRequest3Controller | Meeting3Controller implements the CRUD actions for Meeting model. |
| backend\modules\pusdiklat\general\controllers\PersonController | PersonController implements the CRUD actions for Person model. |
| backend\modules\pusdiklat\general\controllers\Room3Controller | Room3Controller implements the CRUD actions for Room model. |
| backend\modules\pusdiklat\general\controllers\RoomRequest3Controller | ActivityController implements the CRUD actions for Activity model. |
| backend\modules\pusdiklat\general\controllers\SatkerPicController | SatkerPicController implements the CRUD actions for SatkerPic model. |
| backend\modules\pusdiklat\general\controllers\TrainingController | TrainingController implements the CRUD actions for Training model. |
| backend\modules\pusdiklat\general\controllers\UserController | UserController implements the CRUD actions for User model. |
| backend\modules\pusdiklat\general\models\ActivityRoomSearch | ActivityRoomSearch represents the model behind the search form about backend\models\ActivityRoom . |
| backend\modules\pusdiklat\general\models\ActivitySearch | ActivitySearch represents the model behind the search form about backend\models\Activity . |
| backend\modules\pusdiklat\general\models\EmployeeSearch | EmployeeSearch represents the model behind the search form about backend\models\Employee . |
| backend\modules\pusdiklat\general\models\MeetingActivitySearch | ActivitySearch represents the model behind the search form about backend\models\Activity . |
| backend\modules\pusdiklat\general\models\PersonSearch | PersonSearch represents the model behind the search form about backend\models\Person . |
| backend\modules\pusdiklat\general\models\RoomSearch | RoomSearch represents the model behind the search form about backend\models\Room . |
| backend\modules\pusdiklat\general\models\TrainingActivitySearch | ActivitySearch represents the model behind the search form about backend\models\Activity . |
| backend\modules\pusdiklat\general\models\UserSearch | UserSearch represents the model behind the search form about backend\models\User . |
| backend\modules\pusdiklat\planning\Module | |
| backend\modules\pusdiklat\planning\controllers\Activity2Controller | ActivityController implements the CRUD actions for Activity model. |
| backend\modules\pusdiklat\planning\controllers\Activity3Controller | ActivityController implements the CRUD actions for Activity model. |
| backend\modules\pusdiklat\planning\controllers\ActivityController | ActivityController implements the CRUD actions for Activity model. |
| backend\modules\pusdiklat\planning\controllers\DefaultController | |
| backend\modules\pusdiklat\planning\controllers\MeetingActivity2Controller | ActivityController implements the CRUD actions for Activity model. |
| backend\modules\pusdiklat\planning\controllers\MeetingActivity3Controller | ActivityController implements the CRUD actions for Activity model. |
| backend\modules\pusdiklat\planning\controllers\MeetingActivityController | ActivityController implements the CRUD actions for Activity model. |
| backend\modules\pusdiklat\planning\controllers\Program2Controller | ProgramController implements the CRUD actions for Program model. |
| backend\modules\pusdiklat\planning\controllers\Program3Controller | ProgramController implements the CRUD actions for Program model. |
| backend\modules\pusdiklat\planning\controllers\ProgramController | ProgramController implements the CRUD actions for Program model. |
| backend\modules\pusdiklat\planning\controllers\Trainer3Controller | Trainer3Controller implements the CRUD actions for Trainer model. |
| backend\modules\pusdiklat\planning\controllers\TrainingSubjectTrainerRecommendationController | TrainingSubjectTrainerRecommendationController implements the CRUD actions for TrainingSubjectTrainerRecommendation model. |
| backend\modules\pusdiklat\planning\models\ActivitySearch | ActivitySearch represents the model behind the search form about backend\models\Activity . |
| backend\modules\pusdiklat\planning\models\MeetingActivitySearch | ActivitySearch represents the model behind the search form about backend\models\Activity . |
| backend\modules\pusdiklat\planning\models\PersonSearch | PersonSearch represents the model behind the search form about backend\models\Person . |
| backend\modules\pusdiklat\planning\models\ProgramHistorySearch | ProgramSearch represents the model behind the search form about backend\models\Program . |
| backend\modules\pusdiklat\planning\models\ProgramSearch | ProgramSearch represents the model behind the search form about backend\models\Program . |
| backend\modules\pusdiklat\planning\models\RoomSearch | RoomSearch represents the model behind the search form about backend\models\Room . |
| backend\modules\pusdiklat\planning\models\TrainerSearch | TrainerSearch represents the model behind the search form about backend\models\Trainer . |
| backend\modules\pusdiklat\planning\models\TrainingActivityAllSearch | ActivitySearch represents the model behind the search form about backend\models\Activity . |
| backend\modules\pusdiklat\planning\models\TrainingActivitySearch | ActivitySearch represents the model behind the search form about backend\models\Activity . |
| backend\modules\pusdiklat\planning\models\TrainingSubjectTrainerRecommendationSearch | TrainingSubjectTrainerRecommendationSearch represents the model behind the search form about backend\models\TrainingSubjectTrainerRecommendation . |
| backend\modules\sekretariat\finance\Module | |
| backend\modules\sekretariat\finance\controllers\DefaultController | |
| backend\modules\sekretariat\finance\controllers\ReferenceSbuController | ReferenceSbuController implements the CRUD actions for Reference model. |
| backend\modules\sekretariat\finance\models\ReferenceSbuSearch | ReferenceSbuSearch represents the model behind the search form about backend\models\Reference . |
| backend\modules\sekretariat\general\Module | |
| backend\modules\sekretariat\general\controllers\ActivityMeetingGeneralController | ActivityMeetingGeneralController implements the CRUD actions for Activity model. |
| backend\modules\sekretariat\general\controllers\ActivityRoomController | ActivityRoomController implements the CRUD actions for Activity model. |
| backend\modules\sekretariat\general\controllers\DefaultController | |
| backend\modules\sekretariat\general\controllers\RoomController | RoomController implements the CRUD actions for Room model. |
| backend\modules\sekretariat\general\models\ActivityMeetingGeneralSearch | ActivityMeetingGeneralSearch represents the model behind the search form about backend\models\Activity . |
| backend\modules\sekretariat\general\models\ActivityRoomSearch | ActivityRoomSearch represents the model behind the search form about backend\models\Activity . |
| backend\modules\sekretariat\general\models\RoomSearch | RoomSearch represents the model behind the search form about backend\models\Room . |
| backend\modules\sekretariat\hrd\Module | |
| backend\modules\sekretariat\hrd\controllers\DefaultController | |
| backend\modules\sekretariat\hrd\controllers\EmployeeController | EmployeeController implements the CRUD actions for Employee model. |
| backend\modules\sekretariat\hrd\controllers\PersonController | PersonController implements the CRUD actions for Person model. |
| backend\modules\sekretariat\hrd\controllers\UserController | UserController implements the CRUD actions for User model. |
| backend\modules\sekretariat\hrd\models\EmployeeSearch | EmployeeSearch represents the model behind the search form about backend\models\Employee . |
| backend\modules\sekretariat\hrd\models\PersonSearch | PersonSearch represents the model behind the search form about backend\models\Person . |
| backend\modules\sekretariat\hrd\models\UserSearch | UserSearch represents the model behind the search form about backend\models\User . |
| backend\modules\sekretariat\it\Module | |
| backend\modules\sekretariat\it\controllers\DefaultController | |
| backend\modules\sekretariat\organisation\Module | |
| backend\modules\sekretariat\organisation\controllers\ActivityMeetingOrganisationController | ActivityMeetingOrganisationController implements the CRUD actions for Activity model. |
| backend\modules\sekretariat\organisation\controllers\DefaultController | |
| backend\modules\sekretariat\organisation\controllers\ReferenceGraduateController | ReferenceGraduateController implements the CRUD actions for Reference model. |
| backend\modules\sekretariat\organisation\controllers\ReferenceProgramCodeController | ReferenceProgramCodeController implements the CRUD actions for Reference model. |
| backend\modules\sekretariat\organisation\controllers\ReferenceRankClassController | ReferenceRankClassController implements the CRUD actions for Reference model. |
| backend\modules\sekretariat\organisation\controllers\ReferenceReligionController | ReferenceReligionController implements the CRUD actions for Reference model. |
| backend\modules\sekretariat\organisation\controllers\ReferenceSatkerController | ReferenceSatkerController implements the CRUD actions for Reference model. |
| backend\modules\sekretariat\organisation\controllers\ReferenceSubjectTypeController | ReferenceSubjectTypeController implements the CRUD actions for Reference model. |
| backend\modules\sekretariat\organisation\controllers\ReferenceTrainerTypeController | ReferenceTrainerTypeController implements the CRUD actions for Reference model. |
| backend\modules\sekretariat\organisation\controllers\ReferenceUnitController | ReferenceUnitController implements the CRUD actions for Reference model. |
| backend\modules\sekretariat\organisation\models\ActivityMeetingOrganisationSearch | ActivityMeetingOrganisationSearch represents the model behind the search form about backend\models\Activity . |
| backend\modules\sekretariat\organisation\models\ReferenceGraduateSearch | ReferenceGraduateSearch represents the model behind the search form about backend\models\Reference . |
| backend\modules\sekretariat\organisation\models\ReferenceProgramCodeSearch | ReferenceProgramCodeSearch represents the model behind the search form about backend\models\Reference . |
| backend\modules\sekretariat\organisation\models\ReferenceRankClassSearch | ReferenceRankClassSearch represents the model behind the search form about backend\models\Reference . |
| backend\modules\sekretariat\organisation\models\ReferenceReligionSearch | ReferenceReligionSearch represents the model behind the search form about backend\models\Reference . |
| backend\modules\sekretariat\organisation\models\ReferenceSatkerSearch | ReferenceSatkerSearch represents the model behind the search form about backend\models\Reference . |
| backend\modules\sekretariat\organisation\models\ReferenceSubjectTypeSearch | ReferenceSubjectTypeSearch represents the model behind the search form about backend\models\Reference . |
| backend\modules\sekretariat\organisation\models\ReferenceTrainerTypeSearch | ReferenceTrainerTypeSearch represents the model behind the search form about backend\models\Reference . |
| backend\modules\sekretariat\organisation\models\ReferenceUnitSearch | ReferenceUnitSearch represents the model behind the search form about backend\models\Reference . |
| backend\modules\user\Module | |
| backend\modules\user\controllers\DefaultController | |
| backend\modules\user\controllers\UserController | StudentController implements the CRUD actions for Student model. |
| common\models\LoginForm | Login form |
| common\models\User | User model |
| frontend\assets\AppAsset | |
| frontend\controllers\FileController | Site controller |
| frontend\controllers\SiteController | Site controller |
| frontend\models\Activity | This is the model class for table "activity". |
| frontend\models\ContactForm | ContactForm is the model behind the contact form. |
| frontend\models\LoginForm | Login form |
| frontend\models\ObjectReference | This is the model class for table "object_reference". |
| frontend\models\PasswordResetRequestForm | Password reset request form |
| frontend\models\Person | This is the model class for table "person". |
| frontend\models\ProgramSubject | This is the model class for table "program_subject". |
| frontend\models\Reference | This is the model class for table "reference". |
| frontend\models\ResetPasswordForm | Password reset form |
| frontend\models\SignupForm | Signup form |
| frontend\models\Student | This is the model class for table "student". |
| frontend\models\Training | This is the model class for table "training". |
| frontend\models\TrainingClass | This is the model class for table "training_class". |
| frontend\models\TrainingClassStudent | This is the model class for table "training_class_student". |
| frontend\models\TrainingClassSubject | This is the model class for table "training_class_subject". |
| frontend\models\TrainingClassSubjectTrainerEvaluation | This is the model class for table "training_class_subject_trainer_evaluation". |
| frontend\models\TrainingExecutionEvaluation | This is the model class for table "training_execution_evaluation". |
| frontend\models\TrainingSchedule | This is the model class for table "training_schedule". |
| frontend\models\TrainingScheduleTrainer | This is the model class for table "training_schedule_trainer". |
| frontend\models\TrainingStudent | This is the model class for table "training_student". |
| frontend\modules\student\Module | |
| frontend\modules\student\controllers\ActivityController | ActivityController implements the CRUD actions for Activity model. |
| frontend\modules\student\controllers\DefaultController | |
| frontend\modules\student\controllers\StudentController | StudentController implements the CRUD actions for Student model. |
| frontend\modules\student\controllers\TrainingClassSubjectController | TrainingClassSubjectController implements the CRUD actions for TrainingClassSubject model. |
| frontend\modules\student\controllers\TrainingClassSubjectTrainerEvaluationController | TrainingClassSubjectTrainerEvaluationController implements the CRUD actions for TrainingClassSubjectTrainerEvaluation model. |
| frontend\modules\student\controllers\TrainingController | TrainingController implements the CRUD actions for Training model. |
| frontend\modules\student\controllers\TrainingExecutionEvaluationController | TrainingExecutionEvaluationController implements the CRUD actions for TrainingExecutionEvaluation model. |
| frontend\modules\student\controllers\TrainingScheduleTrainerController | TrainingScheduleTrainerController implements the CRUD actions for TrainingScheduleTrainer model. |
| frontend\modules\student\controllers\TrainingStudentController | TrainingStudentController implements the CRUD actions for TrainingStudent model. |
| frontend\modules\student\models\ActivitySearch | ActivitySearch represents the model behind the search form about frontend\models\Activity . |
| frontend\modules\student\models\TrainingClassSubjectSearch | TrainingClassSubjectSearch represents the model behind the search form about frontend\models\TrainingClassSubject . |
| frontend\modules\student\models\TrainingClassSubjectTrainerEvaluationSearch | TrainingClassSubjectTrainerEvaluationSearch represents the model behind the search form about frontend\models\TrainingClassSubjectTrainerEvaluation . |
| frontend\modules\student\models\TrainingExecutionEvaluationSearch | TrainingExecutionEvaluationSearch represents the model behind the search form about frontend\models\TrainingExecutionEvaluation . |
| frontend\modules\student\models\TrainingScheduleTrainerSearch | TrainingScheduleTrainerSearch represents the model behind the search form about frontend\models\TrainingScheduleTrainer . |
| frontend\modules\student\models\TrainingSearch | TrainingSearch represents the model behind the search form about frontend\models\Training . |
| frontend\modules\student\models\TrainingStudentSearch | TrainingStudentSearch represents the model behind the search form about frontend\models\TrainingStudent . |
| frontend\widgets\Alert | Alert widget renders a message from session flash. All flash messages are displayed in the sequence they were assigned using setFlash. You can set message as following: |


Toggle navigation
Vodafone SIP
Homepage
SIP Portal
Basic setup. Everything you expect from bootstrap, even
modal dialogs
and
Glyphicons
×
Modal Header
Some text in the modal.


| Search a GitHub username and find their profile, account information, and repositories |
| You can find my account using Josly025 |


cell cells model survival in-field out-of-field modulated exposure dose radiation half-field DNA effects experimental \documentclass[pt]{minimal} \setlength{\oddsidemargin}{-pt} \usepackage{amsbsy} \usepackage{amsfonts} \usepackage{amsmath} \usepackage{amssymb} \usepackage{mathrsfs} \usepackage{upgreek} \usepackage{wasysym} irradiation damage surviving Fig. fraction a recovery . ± . IF = .) AGO Res. {border-style Radiat. fields reduced data px;} uniform-field using #ffffff;} SLDR parameters (Fig. cell-cycle field split-dose Cell dose-rate used values curve impact measured respectively. shown value Figure Supplementary bystander exposed initial significant uniform Carlo Monte different intercellular obtained protective Med. Phys. Table area based comparison delivered experiments irradiation, irradiation. repair represent therapy vitro $$\end{document} DNA-TEs IMK Matsuya Radiation calculated considering described determined distribution exposures flask following human irradiated modelling number previous px; radio-sensitivity signals simulation single-dose yield {font-family (Eqs ./RR. Biol. Effects However, IF = .), Information MCMC Model cancer cell-killing compared curves dose-delivery doses exp font-size fractions induced induction lesions line previously rate response time (i) (ii) Cells Eqs NTEs activated analysis assumed cells, constant determine double; expressed green intensity mean performed present radio-resistance reported results solid targets whilst {\beta Gy (). Date McMahon Sci. TEs [], \begin{document}$$\infty absorbed approach border-color border-width case cells. clinical contrast, deduced estimation exposure. fractionated geometry given higher importance lines observed population probability prostate region responses set solid; study sub-lethal summarized symbol uniformly {font-style {font-weight θ = ( (iii) ./-/// ./j.mrfmmm... A). B). Cancer Commons Creative DU, Estimation IF = . Intercellular Modulated Mutat. PLL PLLs Prise according assumptions attributed biological bold cases courier; culture dose-response dotted em; energy equal estimated exposures. field, fitting grid.. half i.e., increased ionizing killing kinetics lower mechanisms medium microdosimetric-kinetic model, non-hit normal parameter profile pt;} red relative rescue sets signalling smaller studies suggests symbols temporal total transform


Next: mm_array_write Write
Up: Utilities
Previous: mm_array_read Read
Contents
- Type:
- Asynchronous.
- On Entry
-
- a
- the sparse matrix to be written.
Type:required.
Specified as: a structured data of type spdatapsb_Tspmat_type.
- mtitle
- Matrix title.
Type: required
A charachter variable holding a descriptive title for the matrix to be
written to file.
- filename
- The name of the file to be written to.
Type:optional.
Specified as: a character variable containing a valid file name, or
-
, in which case the default output unit 6 (i.e. standard output
in Unix jargon) is used. Default: -
.
- iunit
- The Fortran file unit number.
Type:optional.
Specified as: an integer value. Only meaningful if filename is not -
.
- On Return
-
- iret
- Error code.
Type: required
An integer value; 0 means no error has been detected.


Hi, My name is Trieu, Last name Do and middle name is Hoang and my Canada prefer name is Aaron. I'm from Viet Nam a peaceful country in south Asia. I'm living the South side of the country with all the culture spirit and friendly people. I lived in Canada for 3 years and this is my 2nd year in Fanshawe. I enjoy everything here in Canada despite the bizzard snow every winter, I used to take music industrial art for my career job but I recognize it's more like a hobby than work so I take Media design instead and receive a unforgetable experience from the very first assignment. I do photograph as well and cosplay photograph is one of my perspective.
Beside study online and taking photograph for cosplayers I also have a part-time job at Victoria hospital. I work there as a housekeeping with all the ability to clean and take care of patients rooms.
I know it would be a very hard job at this time when the virus are threaten people's life. But because of the responsibility of the work to support the front line, I would do my best to give everyone a hand.
this is my first work where I took the picture of one of my favourite anime character and my friend is the model, we been through at lot of work to get the final result from edit the light to set up accessories and futher more. It was a unforgetable experience
This is after 6 months of taking picture then I got invited to cosplay party where people turn themselves into coble character, I got chance to take pictures of many famous model and eventually dance with them.


| 10 May 1955 |
Mark David Chapman born, near Fort Worth, TX. |
| 2 Jun 1979 |
Marries Gloria Abe in Honolulu. |
| 23 Oct 1980 |
Quits his job as a security guard. |
| 27 Oct 1980 |
Purchases a five-shot, short-barrel, .38-caliber Charter Arms Special. |
| 30 Oct 1980 |
Flies from Honolulu to New York. |
| Nov 1980 |
Comes to his senses and returns to Hawaii, but only for a few days. |
| 17 Nov 1980 |
Double Fantasy released. It is John Lennon's first album after a five year hiatus from recording music. |
| 6 Dec 1980 |
Returns to New York. |
| 8 Dec 1980 |
At 10:50 PM, Mark David Chapman shoots John Lennon four times in the back outside The Dakota in New York. Lennon dies shortly thereafter at St. Luke's Roosevelt Hospital Center. Earlier in the day, Lennon had autographed Chapman's newly-purchased copy of Double Fantasy. |
| 6 Jan 1981 |
Enters a plea of not guilty. |
| 21 Jan 1981 |
Sentenced to 20 years in prison for the murder of John Lennon. His only response is to read a passage from The Catcher in the Rye. |


The XY Problem
I talked about the people who try (and usually fail) to make things work by banging the rocks together, but there’s another, more common, group. These are the people who’ve identified what they think of as the solution, and are totally focused on making that solution work. They’ll ignore all attempts to solve the problem that don’t involve their solution.
 It’s like when trying to solve a jigsaw you focus on a single piece, to the exclusion to all else.
Some examples have included the person who was asking if Home Assistant would probe SSH and RDP ports, and the person who wanted to know how to close blinds at 4 in the afternoon every day.
These people suffered from the trap that is the XY problem, or tunnel vision.
The first problem above was actually about a UTM generating warnings (the person was using the nmap device tracker). It took a lot of questions and a lot of time to get to that point though. The second person had a problem where the sun was shining on their TV.
When a solution comes
The challenge here is that here there’s a high risk of not solving the underlying problem. Taking the second issue in particular, the position of the sun at any time of day changes through the year. Its elevation at 4 PM today won’t be the same in 2 months, it’ll be higher (or lower), and having the blinds close then won’t be the right solution. Also, what if the TV is off because you’re wanting to watch the sun set?
If only they’d taken the time to explain what the problem is (as the sun sets it shines on the TV, making it hard to see), what they had to work with (I’ve got some automated blinds that I can control) and what the goal was (stop the sun disrupting my TV viewing).
In this example, instead the suggestion would be to use the sun’s elevation, the angle of the sun (azimuth), the state of the TV (on or off) and optionally the cloud cover (so you don’t close it when the sun is hidden by clouds anyway). That’ll work all year, and only close the blinds when they need to close.
The next time
When you’re next stuck with a problem, take a little time to explain the whole problem. Take the time too when answering questions to actually answer them, don’t blow them off with one or two word answers. If you do this, it’ll be easier on everybody, and your actual problem will be solved more quickly.
Footnotes
- Most of us have been guilty of this at one point or another
- Yes, if the sun elevation was checked a month before or after the longest or shortest day, it will be the same elevation - no points for pointing that one out 😉


{{ title }}
{{ on }}
{% if free %} {% endif %} {{ content|safe }} {% if rpost %}For more information, see {{ rpost.title }}
{% endif %}
Doors open: {{ doors|date:"f a" }} Show begins: {{ on|date:"f a" }}
{% extends "apdirposts/page.html" %} {% block title %}{{ title }}{% endblock %} {% block pagecontent %}
{{ on }}
{% if free %} {% endif %} {{ content|safe }} {% if rpost %}Doors open: {{ doors|date:"f a" }} Show begins: {{ on|date:"f a" }}
Our capacity is 58 seats. We set aside 20 seats to accommodate those who arrive without a reservation, so if the show is sold out you can still try to attend by arriving close to {{ doors|date:"f a" }} However, although we will do whatever we can to seat all comers, there is no guarantee of admission without a reservation.


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In this project, you'll use generative adversarial networks to generate new images of faces.
You'll be using two datasets in this project:
Since the celebA dataset is complex and you're doing GANs in a project for the first time, we want you to test your neural network on MNIST before CelebA. Running the GANs on MNIST will allow you to see how well your model trains sooner.
If you're using FloydHub, set data_dir
to "/input" and use the FloydHub data ID "R5KrjnANiKVhLWAkpXhNBe".
%%javascript
IPython.OutputArea.prototype._should_scroll = function(lines) {
return false;
}
data_dir = './data'
# FloydHub - Use with data ID "R5KrjnANiKVhLWAkpXhNBe"
#data_dir = '/input'
"""
DON'T MODIFY ANYTHING IN THIS CELL
"""
import helper
helper.download_extract('mnist', data_dir)
helper.download_extract('celeba', data_dir)
show_n_images = 25
"""
DON'T MODIFY ANYTHING IN THIS CELL
"""
%matplotlib inline
import os
from glob import glob
from matplotlib import pyplot
mnist_images = helper.get_batch(glob(os.path.join(data_dir, 'mnist/*.jpg'))[:show_n_images], 28, 28, 'L')
pyplot.imshow(helper.images_square_grid(mnist_images, 'L'), cmap='gray')
The CelebFaces Attributes Dataset (CelebA) dataset contains over 200,000 celebrity images with annotations. Since you're going to be generating faces, you won't need the annotations. You can view the first number of examples by changing show_n_images
.
show_n_images = 25
"""
DON'T MODIFY ANYTHING IN THIS CELL
"""
mnist_images = helper.get_batch(glob(os.path.join(data_dir, 'img_align_celeba/*.jpg'))[:show_n_images], 28, 28, 'RGB')
pyplot.imshow(helper.images_square_grid(mnist_images, 'RGB'))
Since the project's main focus is on building the GANs, we'll preprocess the data for you. The values of the MNIST and CelebA dataset will be in the range of -0.5 to 0.5 of 28x28 dimensional images. The CelebA images will be cropped to remove parts of the image that don't include a face, then resized down to 28x28.

You'll build the components necessary to build a GANs by implementing the following functions below:
model_inputs
discriminator
generator
model_loss
model_opt
train
This will check to make sure you have the correct version of TensorFlow and access to a GPU
"""
DON'T MODIFY ANYTHING IN THIS CELL
"""
from distutils.version import LooseVersion
import warnings
import tensorflow as tf
# Check TensorFlow Version
assert LooseVersion(tf.__version__) >= LooseVersion('1.0'), 'Please use TensorFlow version 1.0 or newer. You are using {}'.format(tf.__version__)
print('TensorFlow Version: {}'.format(tf.__version__))
# Check for a GPU
if not tf.test.gpu_device_name():
warnings.warn('No GPU found. Please use a GPU to train your neural network.')
else:
print('Default GPU Device: {}'.format(tf.test.gpu_device_name()))
Implement the model_inputs
function to create TF Placeholders for the Neural Network. It should create the following placeholders:
image_width
, image_height
, and image_channels
.z_dim
.Return the placeholders in the following the tuple (tensor of real input images, tensor of z data)
import problem_unittests as tests
def model_inputs(image_width, image_height, image_channels, z_dim):
"""
Create the model inputs
:param image_width: The input image width
:param image_height: The input image height
:param image_channels: The number of image channels
:param z_dim: The dimension of Z
:return: Tuple of (tensor of real input images, tensor of z data, learning rate)
"""
# TODO: Implement Function
input_real = tf.placeholder(tf.float32, shape=(None,image_width, image_height, image_channels), name="input_real")
input_z = tf.placeholder(tf.float32, shape=(None, z_dim), name="input_z")
learning_rate = tf.placeholder(tf.float32,name="learning_rate")
return input_real, input_z, learning_rate
"""
DON'T MODIFY ANYTHING IN THIS CELL THAT IS BELOW THIS LINE
"""
tests.test_model_inputs(model_inputs)
Implement discriminator
to create a discriminator neural network that discriminates on images
. This function should be able to reuse the variables in the neural network. Use tf.variable_scope
with a scope name of "discriminator" to allow the variables to be reused. The function should return a tuple of (tensor output of the discriminator, tensor logits of the discriminator).
def discriminator(images, reuse=False, alpha=0.1):
"""
Create the discriminator network
:param images: Tensor of input image(s)
:param reuse: Boolean if the weights should be reused
:return: Tuple of (tensor output of the discriminator, tensor logits of the discriminator)
"""
# TODO: Implement Function
with tf.variable_scope('discriminator', reuse=reuse):
layer1 = tf.layers.conv2d(images, 64, 5, strides=2, padding='same',
kernel_initializer=tf.contrib.layers.xavier_initializer())
layer1 = tf.layers.dropout(layer1, 0.5)
layer1 = tf.maximum(alpha * layer1, layer1)
layer2 = tf.layers.conv2d(layer1, 128, 5, strides=2, padding='same',
kernel_initializer=tf.contrib.layers.xavier_initializer())
layer2 = tf.layers.batch_normalization(layer2, training=True)
layer2 = tf.layers.dropout(layer2, 0.5)
layer2 = tf.maximum(alpha * layer2, layer2)
layer3 = tf.layers.conv2d(layer2, 256, 5, strides=2, padding='same',
kernel_initializer=tf.contrib.layers.xavier_initializer())
layer3 = tf.layers.batch_normalization(layer3, training=True)
layer3 = tf.layers.dropout(layer3, 0.5)
layer3 = tf.maximum(alpha * layer3, layer3)
flat = tf.reshape(layer3, (-1, 4*4*256))
flat = tf.layers.dropout(flat, 0.2)
logits = tf.layers.dense(flat, 1)
out = tf.sigmoid(logits)
return out, logits
"""
DON'T MODIFY ANYTHING IN THIS CELL THAT IS BELOW THIS LINE
"""
tests.test_discriminator(discriminator, tf)
Implement generator
to generate an image using z
. This function should be able to reuse the variables in the neural network. Use tf.variable_scope
with a scope name of "generator" to allow the variables to be reused. The function should return the generated 28 x 28 x out_channel_dim
images.
def generator(z, out_channel_dim, is_train=True, alpha=0.1):
"""
Create the generator network
:param z: Input z
:param out_channel_dim: The number of channels in the output image
:param is_train: Boolean if generator is being used for training
:return: The tensor output of the generator
"""
# TODO: Implement Function
# First fully connected layer
with tf.variable_scope('generator', reuse=(not is_train)):
layer1 = tf.layers.dense(z, 2*2*256, kernel_initializer=tf.contrib.layers.xavier_initializer())
layer1 = tf.reshape(layer1, (-1, 2, 2, 256))
layer1 = tf.layers.batch_normalization(layer1, training=is_train)
layer1 = tf.layers.dropout(layer1, 0.5, training=is_train)
layer1 = tf.maximum(alpha * layer1, layer1)
layer2 = tf.layers.conv2d_transpose(layer1, 128, 5, strides=2, padding='valid',
kernel_initializer=tf.contrib.layers.xavier_initializer())
layer2 = tf.layers.batch_normalization(layer2, training=is_train)
layer2 = tf.layers.dropout(layer2, 0.5, training=is_train)
layer2 = tf.maximum(alpha * layer2, layer2)
layer3 = tf.layers.conv2d_transpose(layer2, 64, 5, strides=2, padding='same',
kernel_initializer=tf.contrib.layers.xavier_initializer())
layer3 = tf.layers.batch_normalization(layer3, training=is_train)
layer3 = tf.layers.dropout(layer3, 0.5, training=is_train)
layer3 = tf.maximum(alpha * layer3, layer3)
logits = tf.layers.conv2d_transpose(layer3, out_channel_dim, 5, strides=2, padding='same')
out = tf.tanh(logits)
return out
"""
DON'T MODIFY ANYTHING IN THIS CELL THAT IS BELOW THIS LINE
"""
tests.test_generator(generator, tf)
Implement model_loss
to build the GANs for training and calculate the loss. The function should return a tuple of (discriminator loss, generator loss). Use the following functions you implemented:
discriminator(images, reuse=False)
generator(z, out_channel_dim, is_train=True)
def model_loss(input_real, input_z, out_channel_dim, alpha=0.1):
"""
Get the loss for the discriminator and generator
:param input_real: Images from the real dataset
:param input_z: Z input
:param out_channel_dim: The number of channels in the output image
:return: A tuple of (discriminator loss, generator loss)
"""
# TODO: Implement Function
g_model = generator(input_z, out_channel_dim, alpha=alpha)
d_model_real, d_logits_real = discriminator(input_real, alpha=alpha)
d_model_fake, d_logits_fake = discriminator(g_model, reuse=True, alpha=alpha)
d_loss_real = tf.reduce_mean(
tf.nn.sigmoid_cross_entropy_with_logits(logits=d_logits_real, labels=tf.ones_like(d_model_real * 0.9)))
d_loss_fake = tf.reduce_mean(
tf.nn.sigmoid_cross_entropy_with_logits(logits=d_logits_fake, labels=tf.zeros_like(d_model_fake)))
g_loss = tf.reduce_mean(
tf.nn.sigmoid_cross_entropy_with_logits(logits=d_logits_fake, labels=tf.ones_like(d_model_fake)))
d_loss = d_loss_real + d_loss_fake
return d_loss, g_loss
"""
DON'T MODIFY ANYTHING IN THIS CELL THAT IS BELOW THIS LINE
"""
tests.test_model_loss(model_loss)
Implement model_opt
to create the optimization operations for the GANs. Use tf.trainable_variables
to get all the trainable variables. Filter the variables with names that are in the discriminator and generator scope names. The function should return a tuple of (discriminator training operation, generator training operation).
def model_opt(d_loss, g_loss, learning_rate, beta1):
"""
Get optimization operations
:param d_loss: Discriminator loss Tensor
:param g_loss: Generator loss Tensor
:param learning_rate: Learning Rate Placeholder
:param beta1: The exponential decay rate for the 1st moment in the optimizer
:return: A tuple of (discriminator training operation, generator training operation)
"""
# TODO: Implement Function
t_vars = tf.trainable_variables()
d_vars = [var for var in t_vars if var.name.startswith('discriminator')]
g_vars = [var for var in t_vars if var.name.startswith('generator')]
# Optimize
with tf.control_dependencies(tf.get_collection(tf.GraphKeys.UPDATE_OPS)):
d_train_opt = tf.train.AdamOptimizer(learning_rate, beta1=beta1).minimize(d_loss, var_list=d_vars)
g_train_opt = tf.train.AdamOptimizer(learning_rate, beta1=beta1).minimize(g_loss, var_list=g_vars)
return d_train_opt, g_train_opt
"""
DON'T MODIFY ANYTHING IN THIS CELL THAT IS BELOW THIS LINE
"""
tests.test_model_opt(model_opt, tf)
"""
DON'T MODIFY ANYTHING IN THIS CELL
"""
import numpy as np
def show_generator_output(sess, n_images, input_z, out_channel_dim, image_mode):
"""
Show example output for the generator
:param sess: TensorFlow session
:param n_images: Number of Images to display
:param input_z: Input Z Tensor
:param out_channel_dim: The number of channels in the output image
:param image_mode: The mode to use for images ("RGB" or "L")
"""
cmap = None if image_mode == 'RGB' else 'gray'
z_dim = input_z.get_shape().as_list()[-1]
example_z = np.random.uniform(-1, 1, size=[n_images, z_dim])
samples = sess.run(
generator(input_z, out_channel_dim, False),
feed_dict={input_z: example_z})
images_grid = helper.images_square_grid(samples, image_mode)
pyplot.imshow(images_grid, cmap=cmap)
pyplot.show()
Implement train
to build and train the GANs. Use the following functions you implemented:
model_inputs(image_width, image_height, image_channels, z_dim)
model_loss(input_real, input_z, out_channel_dim)
model_opt(d_loss, g_loss, learning_rate, beta1)
Use the show_generator_output
to show generator
output while you train. Running show_generator_output
for every batch will drastically increase training time and increase the size of the notebook. It's recommended to print the generator
output every 100 batches.
def train(epoch_count, batch_size, z_dim, learning_rate, beta1, get_batches, data_shape, data_image_mode):
"""
Train the GAN
:param epoch_count: Number of epochs
:param batch_size: Batch Size
:param z_dim: Z dimension
:param learning_rate: Learning Rate
:param beta1: The exponential decay rate for the 1st moment in the optimizer
:param get_batches: Function to get batches
:param data_shape: Shape of the data
:param data_image_mode: The image mode to use for images ("RGB" or "L")
"""
# TODO: Build Model
input_real, input_z, learn_rate = model_inputs(data_shape[1],data_shape[2],data_shape[3], z_dim)
d_loss, g_loss = model_loss(input_real, input_z, data_shape[3])
d_opt, g_opt = model_opt(d_loss, g_loss, learn_rate, beta1)
steps = 0
losses = []
with tf.Session() as sess:
sess.run(tf.global_variables_initializer())
for epoch_i in range(epoch_count):
for batch_images in get_batches(batch_size):
steps = steps + 1
batch_images = batch_images * 2
z_batch = np.random.uniform(-1,1, size=(batch_size, z_dim))
_ = sess.run(d_opt, feed_dict={input_real: batch_images, input_z: z_batch, learn_rate: learning_rate})
_ = sess.run(g_opt, feed_dict={input_z: z_batch, input_real: batch_images, learn_rate: learning_rate})
if steps % 10 == 0:
# At the end of each epoch, get the losses and print them out
train_loss_d = d_loss.eval({input_z: z_batch, input_real: batch_images})
train_loss_g = g_loss.eval({input_z: z_batch})
print("Epoch {}/{}...".format(epoch_i+1, epochs),
"Discriminator Loss: {:.4f}...".format(train_loss_d),
"Generator Loss: {:.4f}".format(train_loss_g))
# Save losses to view after training
losses.append((train_loss_d, train_loss_g))
if steps % 100 == 0:
show_generator_output(sess, 10, input_z, data_shape[3],data_image_mode)
Test your GANs architecture on MNIST. After 2 epochs, the GANs should be able to generate images that look like handwritten digits. Make sure the loss of the generator is lower than the loss of the discriminator or close to 0.
batch_size = 32
z_dim = 100
learning_rate = 0.0008
beta1 = 0.2
"""
DON'T MODIFY ANYTHING IN THIS CELL THAT IS BELOW THIS LINE
"""
epochs = 2
mnist_dataset = helper.Dataset('mnist', glob(os.path.join(data_dir, 'mnist/*.jpg')))
with tf.Graph().as_default():
train(epochs, batch_size, z_dim, learning_rate, beta1, mnist_dataset.get_batches,
mnist_dataset.shape, mnist_dataset.image_mode)
Run your GANs on CelebA. It will take around 20 minutes on the average GPU to run one epoch. You can run the whole epoch or stop when it starts to generate realistic faces.
batch_size = 24
z_dim = 100
learning_rate = 0.0004
beta1 = 0.2
"""
DON'T MODIFY ANYTHING IN THIS CELL THAT IS BELOW THIS LINE
"""
epochs = 1
celeba_dataset = helper.Dataset('celeba', glob(os.path.join(data_dir, 'img_align_celeba/*.jpg')))
with tf.Graph().as_default():
train(epochs, batch_size, z_dim, learning_rate, beta1, celeba_dataset.get_batches,
celeba_dataset.shape, celeba_dataset.image_mode)
When submitting this project, make sure to run all the cells before saving the notebook. Save the notebook file as "dlnd_face_generation.ipynb" and save it as a HTML file under "File" -> "Download as". Include the "helper.py" and "problem_unittests.py" files in your submission.


Uses of Package
io.ebean.text
Package
Description
Provides a API for plugins.
Utility objects for CSV, JSON and XML processing.
CSV processing objects.
-
-
ClassDescriptionThis is a Tree like structure of paths and properties that can be used for defining which parts of an object graph to render in JSON or XML, and can also be used to define which parts to select and fetch for an ORM query.Convert a String value into an Object value.Parser for TIME types that supports both HH:mm:ss and HH:mm.
-


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|
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PUSH BACK THE DARKNESS
Darkness cannot drive out darkness;
Only light can do that.
Hate cannot drive out hate;
Only love can do that.
-- Martin Luther King, Jr.
On January 29th 2017, a dark event in Canadian history occurred when a mosque in Quebec City was targeted by a terrorist attack.
The goal of the Push Back The Darkness initiative is to push back the darkness of ignorance and hate with the light of knowledge and friendship. This will involve several things:
January 29th at 8pm: A light in every window
Across the country, we are asking people to place a light in their windows on January 29th at 8pm local time. This will be a symbol of your commitment to push back the darkness of ignorance and hate in your community
I want to learn more about this
Events in communities across Canada
There will be events held in a number of communities across Canada. For a map of all events which are currently being planned, please see the
events page
I want to attend an event
Statements in the House of Commons and Senate
On January 29th, Members of Parliament and Senators will be making statements on Parliament Hill in support of this initiative.
I want to pledge my support
Contributed stories and artwork
Stories and artwork have been collected from people across Canada, and these stories are now posted on this website and will be shared with our Members of Parliament and Senators.
I want to view contributed stories and artwork


public class PingTools
extends java.lang.Object
| Modifier and Type | Method and Description |
|---|---|
static PingResult |
doJavaPing(java.net.InetAddress ia,
PingOptions pingOptions)
Tries to reach this
InetAddress . |
static PingResult |
doNativePing(java.net.InetAddress ia,
PingOptions pingOptions)
Perform a ping using the native ping binary
|
static PingResult |
doPing(java.net.InetAddress ia,
PingOptions pingOptions)
Perform a ping using the native ping tool and fall back to using java echo request
on failure.
|
public static PingResult doPing(java.net.InetAddress ia, PingOptions pingOptions)
ia
- - address to pingpingOptions
- - ping command optionspublic static PingResult doNativePing(java.net.InetAddress ia, PingOptions pingOptions) throws java.io.IOException, java.lang.InterruptedException
ia
- - address to pingpingOptions
- - ping command optionsjava.io.IOException
- - IO error running ping commandjava.lang.InterruptedException
- - thread interruptpublic static PingResult doJavaPing(java.net.InetAddress ia, PingOptions pingOptions)
InetAddress
. This method first tries to use
ICMP (ICMP ECHO REQUEST), falling back to a TCP connection
on port 7 (Echo) of the remote host.ia
- - address to pingpingOptions
- - ping command options


As a front-end software developer, i have a number of websites that i have created,others hosting on github under my account Here are links to some of my Work.


Demo
GitHub
Vue It Bigger!
Click on any thumbnail below to open the lightbox. The code for this example is in
App.vue
.


The directory structure of TileBoard has changed.
Please refer to updated How To Use instructions.
Refer to project's README.md for full instructions.


| I l@ve RuBoard |
A.1 Major Changes in 2.0This section lists changes introduced in Python release 2.0. Note that third-party extensions built for Python 1.5.x or 1.6 cannot be used with Python 2.0; these extensions must be rebuilt for 2.0. Python bytecode files (*.pyc and *.pyo) are not compatible between releases either. A.1.1 Core Language ChangesThe following sections describe changes made to the Python language itself. A.1.1.1 Augmented assignmentAfter nearly a decade of complaints from C programmers, Guido broke down and added 11 new C-like assignment operators to the language: += -= *= /= %= **= <<= >>= &= ^= |= The statement A += B is similar to A = A + B except that A is evaluated only once (useful if it is a complex expression). If A is a mutable object, it may be modified in place; for instance, if it is a list, A += B has the same effect as A.extend(B). Classes and built-in object types can override the new operators in order to implement the in-place behavior; the non-in-place behavior is automatically used as a fallback when an object does not implement the in-place behavior. For classes, the method name is the method name for the corresponding non-in-place operator prepended with an "i" (e.g., __iadd__ implements in-place __add__ ). A.1.1.2 List comprehensionsA new expression notation was added for lists whose elements are computed from another list (or lists): [<expression> for <variable> in <sequence>] For example, [i**2 for i in range(4)] yields the list [0,1,4,9]. This is more efficient than using map with a lambda, and at least in the context of scanning lists, avoids some scoping issues raised by lambdas (e.g., using defaults to pass in information from the enclosing scope). You can also add a condition: [<expression> for <variable> in <sequence> if <condition>] For example, [w for w in words if w == w.lower( )] yields the list of words that contain no uppercase characters. This is more efficient than filter with a lambda. Nested for loops and more than one if is supported as well, though using this seems to yield code that is as complex as nested maps and lambdas (see Python manuals for more details). A.1.1.3 Extended import statementsImport statements now allow an "as" clause (e.g., import mod as name), which saves an assignment of an imported module's name to another variable. This works with from statements and package paths too (e.g., from mod import var as name. The word "as" was not made a reserved word in the process. (To import odd filenames that don't map to Python variable names, see the __import_ _ built-in function.) A.1.1.4 Extended print statementThe print statement now has an option that makes the output go to a different file than the default sys.stdout. For instance, to write an error message to sys.stderr, you can now write: print >> sys.stderr, "spam" As a special case, if the expression used to indicate the file evaluates to None, the current value of sys.stdout is used (like not using >> at all). Note that you can always write to file objects such as sys.stderr by calling their write method; this optional extension simply adds the extra formatting performed by the print statement (e.g., string conversion, spaces between items). A.1.1.5 Optional collection of cyclical garbagePython is now equipped with a garbage collector that can hunt down cyclical references between Python objects. It does not replace reference counting (and in fact depends on the reference counts being correct), but can decide that a set of objects belongs to a cycle if all their reference counts are accounted for in their references to each other.  (See the 2.0 release notes or the library manual to check if this feature is enabled by default or not; because running this extra garbage collection step periodically adds performance overheads, the decision on whether to turn it on by default is pending.) A.1.2 Selected Library ChangesThis is a partial list of standard library changes introduced by Python release 2.0; see 2.0 release notes for a full description of the changes. A.1.2.1 New zip functionA new function zip was added: zip(seq1,seq2,...) is equivalent to map(None,seq1,seq2,...) when the sequences have the same length. For instance, zip([1, 2, 3], [10, 20, 30]) returns [(1,10), (2,20), (3,30)]. When the lists are not all the same length, the shortest list defines the result's length. A.1.2.2 XML supportA new standard module named pyexpat provides an interface to the Expat XML parser. A new standard module package named xml provides assorted XML support code in (so far) three subpackages: xml.dom , xml.sax , and xml.parsers. A.1.2.3 New web browser moduleThe new webbrowser module attempts to provide a platform-independent API to launch a web browser. (See also the LaunchBrowser script at the end of Chapter 4.) A.1.3 Python/C Integration API ChangesPortability was ensured to 64-bit platforms under both Linux and Win64, especially for the new Intel Itanium processor. Large file support was also added for Linux64 and Win64. The garbage collection changes resulted in the creation of two new slots on an object, tp_traverse and tp_clear. The augmented assignment changes result in the creation of a new slot for each in-place operator. The GC API creates new requirements for container types implemented in C extension modules. See Include/objimpl.h in the Python source distribution. A.1.4 Windows ChangesNew popen2, popen3, and popen4 calls were added in the os module. The os.popen call is now much more usable on Windows 95 and 98. To fix this call for Windows 9x, Python internally uses the w9xpopen.exe program in the root of your Python installation (it is not a standalone program). See Microsoft Knowledge Base article Q150956 for more details. Administrator privileges are no longer required to install Python on Windows NT or Windows 2000. The Windows installer also now installs by default in \Python20\ on the default volume (e.g., C:\Python20 ), instead of the older-style \Program Files\Python-2.0\. The Windows installer no longer runs a separate Tcl/Tk installer; instead, it installs the needed Tcl/Tk files directly in the Python directory. If you already have a Tcl/Tk installation, this wastes some disk space (about 4 MB) but avoids problems with conflicting Tcl/Tk installations and makes it much easier for Python to ensure that Tcl/Tk can find all its files.
|
| I l@ve RuBoard |


Module fileHandler
creates a file handler class.
designed for use with the classy object creator
Usage:
FileHandler = require ( 'fileHandler' )
Info:
- Copyright: (c) 2019 David Porter
- Release: 1.0.3
- License: MIT
- Author: David Porter
Functions
| initMethod (obj, args) | sets the default read behavour flags |
| setDefaultReadBehavour (obj, param1, param2) | setDefaultReadBehavour can adjust the default corona behavour of one line at a time for a read, it can also force a file close at the end takes to paramters param1, param2, they are not manditory but if there one must be boolean the other a string the boolean sets the closeAfterRead and the string the adjusted file default read method. |
| openFile (obj, fileDetails, mode) | opens a file |
| closeFile (obj, fhd) | closes a file |
| readFrom (obj, fhd, ...) | reads from a file |
| writeTo (obj, fhd, ...) | writes to a file |
| fileExists (obj, fileName) | tests if a file exists or not |
| copyFile (obj, fromFile, toFile) | copies a file |
| fileIsEmpty (obj, fileName) | tests to see if a file is empty |
| fileNameBuilder (obj, fileDetails) | builds file name if path table otherwise returns orgional value. |
Fields
| _MODULENAME | the module name |
Functions
- initMethod (obj, args)
-
sets the default read behavour flags
Parameters:
- obj the calling object
- args optional arguments sent to create the file handler
Returns:
-
No return value
Usage:
myFileHandler = FileHandler ()
- setDefaultReadBehavour (obj, param1, param2)
-
setDefaultReadBehavour can adjust the default corona behavour of one line at a time for a read, it can also force a file close at the end
takes to paramters param1, param2, they are not manditory but if there one must be boolean the other a string
the boolean sets the closeAfterRead and the string the adjusted file default read method.
Parameters:
- obj the file hander object
- param1 the first parameter to check
- param2 the second parameter to check
Returns:
-
No return value
Usage:
fileHandler:setDefaultReadBehavour ( param1 [, param 2 ] )
- openFile (obj, fileDetails, mode)
-
opens a file
Parameters:
- obj the file handler object
- fileDetails is an actual path or a table containing filename/path
- mode is the mode you want the file to open in, if not specified then this is the defaultReadBehavour "r"
Returns:
-
a file handler or nil
See also:
Usage:
local fhd = fileHandler:openFile ( { fileName = fileName [, path = pathToFile ] } [, mode ])
- closeFile (obj, fhd)
-
closes a file
Parameters:
- obj the file handler object
- fhd the file you wish to close
Returns:
-
true if success false if failed
See also:
Usage:
local success = fileHandler:close ()
- readFrom (obj, fhd, ...)
-
reads from a file
Parameters:
- obj the file handler object
- fhd the file you wish to read from
- ... optional mode settings
Returns:
-
readData if success nil if failed
See also:
Usage:
local data = fileHandler:readFrom ( fileId [ , ... ] )
- writeTo (obj, fhd, ...)
-
writes to a file
Parameters:
- obj the file handler object
- fhd the file you wish to write from
- ... optional data being writen
Returns:
-
No return value
See also:
Usage:
fileHandler:writeTo ( fileId [ , ... ] )
- fileExists (obj, fileName)
-
tests if a file exists or not
Parameters:
- obj the file handler object
- fileName the file name
Returns:
-
true if file exists, false if it does not
See also:
Usage:
local result = fileHandler:fileExists ( { fileName = fileName [, path = pathToFile ] } )
- copyFile (obj, fromFile, toFile)
-
copies a file
Parameters:
- obj the file handler object
- fromFile the file to copy from
- toFile the file to copy to
Returns:
-
returns true on success or false on error
Usage:
local result = fileHandler:copyFile ( fromFileId, toFileId )
- fileIsEmpty (obj, fileName)
-
tests to see if a file is empty
Parameters:
- obj the file handler object
- fileName the file name
Returns:
-
returns true if empty or false if file does not exist or is not empty
Usage:
local result = fileHandler:fileIsEmpty ( { fileName = fileName [, path = pathToFile ] } )
- fileNameBuilder (obj, fileDetails)
-
builds file name if path table otherwise returns orgional value.
You may have to overload this with your own method if not using Corona SDK
Parameters:
- obj the file handler object
- fileDetails either a path table or a fileName as a string
Returns:
-
a filename format for Corona SDK


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Other specifics interfaces
Edit (pull request)Here are informations concerning some specific interfaces.
custom
interface
Note that the driver only supports groovy scripts for this interface’s operations.
Also, you must be aware that the routine will be executed as a goovy closure. Therefore, you MUST NOT use the ServiceContextFactory class to get the service context, it has been injected automatically so that you can directly use it via the variable context.
Cloudify allows user to interact with their deployment via custom commands. This interface is design to support custom commands, in form of operations.
Example:
alien.nodes.cloudify.Tomcar
[...]
interfaces:
[...]
custom:
updateWarOnTomcat:
inputs:
catalinaBase: { get_attribute: [SELF, catalinaBase] }
installDir: { get_attribute: [SELF, installDir] }
url:
type: string
required: true
contextPath:
type: string
required: true
implementation: scripts/updateWarOnTomcat.groovy
alien.nodes.cloudify.War
[...]
interfaces:
[...]
custom:
updateWarFile:
inputs:
contextPath: { get_property: [SELF, contextPath] }
warUrl:
type: string
description: url of the war to upload to update the current one
required: true
implementation: warScripts/updateWarFile.groovy
Example of custom command scripts:
alien.nodes.cloudify.War updateWarFile:
assert warUrl && !warUrl.trim().isEmpty(), "requires warUrl parameter"
//when invoking a command defined in another node, prefix it with his name. Here, War is hosted on Tomcat, thus the HOST env var has the Tomcat node name.
def command = "${HOST}_updateWarOnTomcat"
println "updateWarFile.groovy: warUrl is ${warUrl} and contextPath is ${contextPath}..."
println "updateWarFile.groovy: invoking ${command} custom command ..."
//SERVICE_NAME env var represent the cloudify service name
def service = context.waitForService(SERVICE_NAME, 60, TimeUnit.SECONDS)
def currentInstance = service.getInstances().find{ it.instanceId == context.instanceId }
//as the inputs are no more accessible via args[], but rather named and available in the env var, we should trigger the custom command with a "name=value" instead of "value" argument syntax
currentInstance.invoke(command, "url=${warUrl}" as String, "contextPath=${contextPath}" as String)
return "war updated."


MANAGERS
TIM BURNS
CEO
LARRY BURNS
CTO
MIKE BROWN
CFO
MARY SMITH
CMO
EMPLOYEES
MICHAEL HARRIS
BACK-END ARCHITECT
KAMALA HARRIS
FRONT-END ARCHITECT
JENNY LOVE
UI DESIGNER
JERRY KIMMEL
UX DESIGNER
INVESTORS
MIKE CHEN
TECH GURU
KEVIN LEVIN
MARKETING PIONEER
DENNIS SMITH
UI/UX MASTER
SAMUEL ROGER
WALL STREET EXECUTIVE


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