Sahi Pro - CSV Files as Suites with Tags
- Open the Sahi Dashboard and click the link labeled as "Bin". It will open a command window.
- Use the command ?testrunner?. Following screen will appear on windows.
- The example above shows the syntax for running:
- The first example executes a suite with its start URL as http://sahi.co.in/demo/ and the browser is specified as Firefox. The path for all the scripts are relative to ?userdata/scripts?.
- The second example demonstrates running a Sahi script with the given start URL in IE.
- The third example runs the same script but in both firefox and IE using this command.
- The fourth example uses a .csv file (described below) to pick up the Sahi scripts to be executed. Further it is provided with the start URL as http://sahi.co.in/demo/ and the browser is specified IE. The tags are specified only if the input suite is a .csv file.
- The logic to select the scripts is specified within the quotes. It can be any logic expression based on the tags provided in the .csv file (see below for details). In this particular example it will select the scripts whose tags contains either ?user? or ?admin? and contains ?medium?. On evaluation this gives the scripts training.sah and clicksTest.sah as the scripts to be executed.
- An important thing to note is that since the TC_1 and TC_2 are in the same script, so when the script training.sah will be executed, both the test cases will be evaluated.
- Details about the .csv file:
- The column header titles should be “Test Case Id”, “Script”, “Tags”, “Start URL” for the respective columns to ensure proper functioning. Rest columns may have different names.
- The image above is from the userdata/scripts/demo/testcases_sample.csv.
- All the items from column A to E are a general listing of test cases. It gives the test cases an ID, description, priority and functionality.
- Column F is the name of Sahi script which contains the test script for the particular test case. One script may contain more than one test case. When a script is run, all the test cases in that will be evaluated.
- Tags are specified against the scripts and are used to select the scripts based on these tags. Only scripts with specified tags will be executed. However, if two test cases are specified in same script, but have different tags, and the user specified tags matches tags for any test case, the complete script will run, thus evaluating all the test cases within that script.
- Start URL specifies the URL from where the execution will begin. This can be specified while executing the suite from the command line.
- The column header titles should be “Test Case Id”, “Script”, “Tags”, “Start URL” for the respective columns to ensure proper functioning. Rest columns may have different names.
- Run the command as shown in fourth example and proceed to reports at the end of execution.
Demarcating multiple test case boundaries in single script
A single script may flow through multiple testcases. To demarcate testcase boundaries, the _testcase() API is used:
_navigateTo("/demo/training/");
var $t = _testcase("TC_1", "Login");
$t.start();
_setValue(_textbox("user"), "test");
_setValue(_password("password"), "secret");
_click(_submit("Login"));
$t.end();
var $t2 = _testcase("TC_2", "Add books");
$t2.start();
_setValue(_textbox("q"), "2");
_setValue(_textbox("q[1]"), "1");
_setValue(_textbox("q[2]"), "1");
_click(_button("Add"));
$t2.end();
var $t3 = _testcase("TC_8", "Verify total");
$t3.start();
_assertExists(_textbox("total"));
_assert(_isVisible(_textbox("total")));
_assertEqual("1150", _textbox("total").value);
$t3.end();
Reports and Summary
- Open the report from the logs by clicking on the suite name that was supplied.
- On clicking the following window will appear (image below):
- It contains the reports on the Sahi scripts that were executed as part of the suite.
- Click on the names of the scripts in the bottom table to get detailed results for the script.
- From the menu on the top, test cases summary can be seen on the browser and can be further downloaded as a .csv file (explained later in document).
- Test cases report for all the cases can be viewed using the menu at the top by clicking on the ?Test Cases Report? link.
- Click on the script name in the bottom table to view the details about the test cases that were the part of the script and their status. The window appears like the image attached below.
- The table at the bottom shows the details of the actions taken by Sahi while running the test cases. Clicking on any step opens up the Sahi script.
- The description in the second table is shown as provided in the Sahi script.
- You can go to a particular line in the script by clicking the code and the browser will open a window with script and the particular line highlighted. In the above image if we click on _click(_submit(?Login?)); , the following screen will be shown:
- The ?Test Cases Report Summary? link at the top of the window opens a summary for the run and displays it in a tabular form. This is mostly like the .csv file which was given as the input but with new columns to show the status, description and other details of the run. The image below is for one typical report:
- This above report can further be downloaded in a .csv file using the download link at the top of the page labeled as ?Download CSV?. The downloaded file looks like following image for above run:


Hope For Youth Through Empowerment and Education
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Bienvenido a HYPE Experiencia internacional!
Here you will be able to reference the lessons and powerpoints that were taught
Dia Uno
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org.jmisb.api.klv.st1903
Classes
Algorithm
Algorithm_Name
Algorithm_Parameters
Algorithm_Type
Algorithm_Version
MIMD
MIMD_Algorithms
MIMD_GroupIdRange
MIMD_Ontologies
MIMD_Platforms
MIMD_SecurityOptions
MIMD_Timers
MIMD_Tracks
MIMD_Version
Ontology
Ontology_Ontology
Security
Security_Classification
Security_ClassifyingMethod
Timer
Timer_CorrectionOffset
Timer_DriftRate
Timer_LastSyncDiff
Timer_NanoPrecisionTimestamp
Timer_SignalSourceDelay
Timer_SyncPulseFreq
Timer_UnlockTime
Timer_UtcLeapSeconds
Enums
AlgorithmMetadataKey
CorrectionMethod
MIMDMetadataKey
OntologyMetadataKey
ReferenceSource
SecurityMetadataKey
TimerMetadataKey
TimeTransferMethod


Pig Dice
Please select!
Play vs computer!
Play vs humans!
Player One, please enter your name:
Player Two, please enter your name:
Play
Your score is:
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Roll
You rolled:
, it is your turn!
Roll
Pass Turn
Please select difficulty!
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This week we learned how to do Cad, or Computer aided designs. We used Autodesk 360 to make our designs. We were given pictures of designs and had to make them using cad. It was difficult but also interesting. Unfortunetaly I did not save my designs.


consul-kv
Distributed key-value store with health checking and service discovery.
More information: home page
- Read a value from the key-value store:
consul kv get key
- Store a new key-value pair:
consul kv put key value
- Delete a key-value pair:
consul kv delete key


To install this library, run:
$ npm install extdate ng-infinite-calendar --save
NOTE: extdate is a simple and lite extension of Date object in javascript, which ng-infinite-calendar uses internally.
You can import your library in any Angular application by running:
$ npm install extdate ng-infinite-calendar
and then from your Angular AppModule
:
import { BrowserModule } from '@angular/platform-browser';
import { NgModule } from '@angular/core';
import { AppComponent } from './app.component';
// Import the module
import { InfiniteCalendarModule } from 'ng-infinite-calendar';
@NgModule({
declarations: [
AppComponent
],
imports: [
BrowserModule,
// Specify the module as an import
InfiniteCalendarModule
],
providers: [],
bootstrap: [AppComponent]
})
export class AppModule { }
Once the module is imported, you can use its components, directives and pipes in your Angular application:
<!-- You can now use the module component in app.component.html -->
<h1>
{{title}}
</h1>
<infinite-calendar></infinite-calendar>
Several inputs and outputs are provided. See docs for details.
To generate all *.js
, *.d.ts
and *.metadata.json
files:
$ npm run build
To lint all *.ts
files:
$ npm run lint
To publish this library, run:
$ npm run build && cd dist && npm publish
MIT © Chisato Hasegawa


If you'd like to help us with operating costs to keep the site running or just want to make a personal donation to the team, you can send Ether to the following address:
Head of Cyber Security
Founder / Project Leader
Front-End Developer


WITNESS LIST International Relations and Trade Committee April 2, 2003 - 1:30P SB 395 FOR: Kastrin, Deborah (County of El Paso), El Paso, TX SB 786 ON: Hubert, Martin Deputy Commissioner (Texas Department of Agriculture), Austin, TX SB 1583 FOR: LoVoi, Annette Executive Director (Texas Appleseed), Austin, TX Schneider, Rob Staff Attorney (Consumers Union), Austin, TX Registering, but not testifying: For: Baddour, Ann (Texas Appleseed), Austin, TX On: Newberg, Stephanie Deputy Commissioner (Texas Department of Banking), Austin, TX SCR 20 Registering, but not testifying: For: Strauser, Robert (City of Laredo), Austin, TX


--- title: Macro View layout: component contributors: - name: Anson Adams github: ansonadams - name: Khiem Lu github: khiemlu96 - name: Danico Pidlaoan github: danicobryan ---
A macro view arranges an entire, often complex, information system into a single view for the purpose of “contrast, comparison, [or] choice.”1
A macro view describes not a single component, but a visual design technique. The appearance of a macro view can only be extrapolated from the design principles it emphasizes. Therefore, the variation of its appearance is only limited to the designer’s imagination. Most notably, a macro view is most effective when enough details are present that the user absorb the information in its full complexity and subtlety. Macro views are consequentially information-dense; information systems are usually complex and screen space is limited.
Overall, The appearance of a macro view across any platform may differ in design, but conveniently displays information for the user to easily switch between tasks. Data is pulled apart and organized in a way that the user can easily access, compare, and select.
When a user calls the macro viewing function, the system instantly organizes and separates all the displayed information from one another. Typically throughout various systems, windows/applications are physically pulled apart from each other and viewed at a macro level.
However, it is possible to narrow one’s focus on a particular subsection of the view. For this, the user can zoom
or perform an action accomplishing a narrowing or broadening of focus. To accomplish a zoom
, a user could select
progressively smaller areas of the data and the display could zoom
on the selections. Although, this is only one imagined implementation of events when there are far more possible control schemes.
Under “Platform-Specific Instances” we can see how different systems apply macro viewing.
Learnability is crucial to the effective use of a macro view. A macro view displays a necessarily complex dataset. Therefore, if a design isn’t thoughtfully organized and clear, the sheer amount of information will overwhelm the user. A macro view’s quality can be best measured by its learnability because at its core, a macro view must present large amounts of information in an easily understandable manner. However, if you were to ask a person who has never used the system before to display the macro view, there is a high chance the user would not be able to figure it out on his or her own. Reasons for this can be due to the vast amount of functions on the particular system or the confusion of what macro viewing does.
Efficiency could be considered important if a macro view is used frequently. Being able to quickly and easily call the macro view can exponentially increase a user’s total efficiency in executing a task on the system. The user would be able to swiftly switch, select, and compare different data. For instance, a macro view could be used as a root page in an application. Efficiency could also be key for operators who need to work with large amounts of data in small amounts of time, such as air traffic control operators or, as Tufte notes in Envisioning Information, high speed train managers.
Errors are more application-specific. A user could have committed an error if they did not understand the macro view’s representation of the data. For example, they could misconstrue one variable as another on a graph. More importantly, it could be the macro view itself that causes errors due to confusing design or poor organization of data. Overall, a system’s failure to clearly depict a macro view by organizing data in an efficient manner can result in errors.
Memorability and satisfaction play less of a critical role. A poorly designed macro view would require high memorability because the user would have to partially relearn it each time they reencountered it. If accessing macro view is highly efficient and learnable, the user should be able to remember how to access it once again. Problems may occur in memorability if the physical function of accessing the macro view is extremely similar to another function. Satisfaction has little to do with macro views because they attempt to communicate data. Satisfaction would also derive from the learnability of the macro view, since a macro view that is difficult and confusing to learn will surely frustrate users.
Macro views can either retain or hide detail. Edward Tufte describes a particular form of macro view, which he calls a “macro / micro reading” of an information set. Tufte’s macro view not only retains the data’s details, but relishes in them since “detail cumulates into larger coherent structures.“ In this case, a macro view is “rich with data” and “can report immense detail” if properly organized.1
A macro view could also hide subtleties and conglomerate data into larger chunks. However, this has the potential to undermine the core strengths of a macro view. One instance of this would be the iPhone’s default calendar application: in the single day view, users can chart their scheduled events across a list of individual hours. When they zoom out to the month view, hourly information is reduced to a binary “has” or “does not have” an event or multiple events on a given day.
Further variation can be broken down into how a macro view is implemented.
The Time Machine history window on a Mac could possibly be considered a macro view in that it displays many backups at once on a single screen. However, the view could be considered ineffectual because the backups are displayed on top of each other, making visual comparison impossible. Furthermore, the entire system directory is displayed for each backup rather than highlighting the changes between states like in GitHub’s commit history.
The DiskUsage application for the Android phone is an excellent example of a macro view. Differently sized rectangles correspond to the relative memory usage of different types of files, resulting in an instantly clear, navigable graph. For a complete macro / micro view, the rectangles could be broken down into further subsections until individual file specificity is achieved.
A macro view is highly effective when it captures an information system fully and completely. Tufte argues that detail in macro views have two primary benefits. Detail complements the human ability to read complex visual data and also enriches comparative tasks, the main purpose of using macro views. He summarizes that “to clarify, add detail.”1
A macro view cannot work without an intelligently designed presentation of the designer’s mental model and or data. This is due to the inherent complexity of the presented information. A commonly overlooked distinction that Tufte notes is that “the quantity of detail is an issue completely separate from the difficulty of reading.”1 Macro views must be properly designed so that they take advantage of the available details. Else, they will simply be plain, unreadable graphs of massive amounts data.
Overall, macro viewing would not work if design and structure were not explicit. It is key for every priority metric and can determine whether a user would like to use macro viewing or not.
Macro viewing allows a user to swiftly switch between tasks and efficiently view and organize data. Should a macro view be excellently designed, the user will be empowered in their experience of the data or system. The presentation will be so clear that they will control the flow of information, rather than the “editors, designers, or decorators” of the view.1
Mac OS X’s Mission Control feature exhibits a well-designed macro view. According to the Mission Control panel in the Mac System Preferences, “Mission Control gives you an overview of all your open windows, thumbnails of your full-screen applications, and Dashboard, all arranged in a unified view.”3
To access the Mission Control view, a Mac user must simply swipe up with three or more fingers. The following then occurs:
While in the Mission Control macro view, users can:
Mission Control is highly learnable for two primary reasons. First, the controls are simple: swipe up. They are also intuitive, employing direct object manipulation when users drag windows from one desktop to another. Additionally, the layout is effortlessly understandable. Different components belong exclusively to different areas of the screen. Open application windows are separated by empty space, making the layout faster to read.
Windows are also annotated, so errors are rendered nearly impossible. However, an error could occur if the user opts to group windows of the same application. Then, windows could potentially be hidden and not selectable by the user.
The view is also extremely efficient. The windows animate from their original position to organized position. The animation is slow enough for the user to track the movement, but not slow enough for the user to have to wait.
The simplicity of design makes Mission Control controls highly memorable. The only gesture that seems arbitrary is swiping up to activate mission control. Considering the other controls (click to select, drag to move) are so logical, perhaps a zooming out gesture would have been more consistent. Ease of use leads to high satisfaction. The layout is aesthetically pleasing, animates smoothly, and is ultimately an extremely productive tool.
Task View is a useful Windows 10 function that displays a macro view of the desktop in order to organize and view open applications simultaneously.
To access the Task View, a Windows 10 user must simply hit the Windows Key + Tab. The following then occurs:
The appearance of a macro view on Windows 10 looks like a zoomed out desktop in which open windows are pulled apart and labeled at the top. On the bottom of the screen, there are also multiple desktops that the user can switch between if they have more than one desktop open. Essentially, all the applications currently open are viewable at once for the user to easily switch between tasks.
While in Task View, users can:
selecting
which desktop to move the window to. Windows Flip: Allows the user to switch between running applications. It does not display the windows in the same organized manner as the Task View, but allows for a quicker way to switch between windows.
Task View and Snap: Allows the user to select a window to take half the screen while the other half displays the Task View of the desktop.
Efficiency: Accessing Task View is efficient through keyboard shortcuts embedded on a machine running Windows 10. The desktop organizes the running applications in a clean and smooth manner that allows for easy access of open windows. The functions within Task View are also simple and intuitive.
Memorability: The main problem with memorability may be remembering the keyboard shortcut. Although there is only one keyboard shortcut to accessing the Task View (Windows key + Tab), users may be confused with all of the other functions that involve the Windows key. However, if accessed a couple of times, the user should be able to familiarize themselves with the shortcut. On the other hand, memorability with the functions inside Task View should be easy due to the simple, clear-cut design. Being able to select, move, or delete certain desktops or applications are clearly shown.
Learnability: Task View may be easy to access, but can be confusing to learn without any help or guidance. If you were to ask a new Windows 10 user to open up the Task View, it would be hard for them to figure it out with all the other functions on a computer. However, similar to memorability, learning to use the functions within task view should be relatively quick for a new user due to the clear design and minimal excess functions.
Errors: Errors can occur if a different keyboard shortcut is mistaken to be Task View. Other than that, the simplicity of the functions within Task View should not cause any remarkable errors.
Satisfaction: User satisfaction in Task View is dependent on design, and Windows 10 does a great job displaying the macro view of the desktop. Task View is easy to access and understand making it highly satisfying.
The new iOS 11 update that was released in October 2017 brought a new user interface with the ability to diplay running applications in a macro view. The new macro view implementation is a combination of Mac OSX's Mission Control feature that displays the windows of running applications and the new Control Center interface, which displays controls such as Wifi, volume and music controls, flashlight, camera, and more.
To access App Switcher View, users can:
Swipe
up with four fingers.Double-click
the home button.While in App Switcher View, users can:
Scroll
to the right to view the rest of the applications.Swipe
up on any application to quit and stop running the application.Click
on any application window to visit the application.
Click
on Control Center buttons like Wifi, music control buttons, night shift, camera, and more.To exit App Switcher View, users can:
Double-click
the home buttonHere is a demo of iOS App Switcher in action on the iPad, featuring how to activate the macro view and different controls and events the user can implement while in the view.
Note: The most recent version of iOS 11 implements a swipe up
function to exit out of an application rather than the hold
and
exit
controls.
The only noticable variant of iOS 11's App Switcher interface is on the iPhone. As opposed to the iPad, the iPhone UI cannot comofrtably display the applications so that they do not overlap given the width of the screen, so the current or most recently used application covers the rest of the applications, and the user must scroll to the right to view the rest of the applications.
Functionality remains the same in that the user must still swipe
up to exit
out of an application and the applications are sorted from right to left by most recently used.
The interface is also different in that the Doc and Control Center is not visible.
Efficiency: Accessing and using App Switcher is very easy and efficient. Controls are minimal: accessing App Switcher only requires a double click of the home button or a swipe with four fingers. Scrolling to the right to view more apps and swiping up to exit an app is effortless to most users because of the simplicity and intuitiveness of the interface.
Memorability: The only issue that may fall under memorability might be the user forgetting what the controls are to access App Switcher, since there are no specific instructions or buttons on a mobile's interface. However, since the controls are very simple, usually users would be able to remember controls after the third time. Something that may contribute to lack of memorabiity might include different functions in iOS, ie. some gestures include holding down on a component or button to delete or exit out of something, whereas App Switch requires a swipe up with one finger, which can end up confusing a user.
Learnability: Drawing off the points mentioned in memorability, App Switcher is very learnable due to its simplicity. However, since there are no instructions or buttons, it may take a user a few times to get the hang of it.
Errors: To enter App Switcher view, the user can swipe up with four fingers or double click the Home button. However, to exit the view, the user can only double click the home button to exit, not use four fingers. One error that may occur is if the user attempts to swipe down with four fingers in order to exit out of App Switcher view. Additional errors that may arise, since the interface is motion controlled, can include the user accidentally exiting out of an app while trying to scroll or accidentally clicking on and visiting an app while trying to scroll or exit.
Satisfaction: User satisfaction is dependent on the user's personal preferences and comfortability with an iOS mobile device. However, since the macro view is easy to access, easy to control, and easy to learn, satisfaction rates would most likely be relatively high.
iOS 11 App Switcher correlates very well to the Key Characteristics of a Macro View. App Switcher leverages detail by presenting the reader with a full range of details of what apps are running on the device as well as any controls they may need to use in Control Center. The arrangement and structure is very well organized and thought out, as there is no overlap of application windows and the interface conveys what the user needs to do to carry out any actions. Finally, iOS 11 Macro View allows users to see a wide range of what is running on the system and empowers the user with the knowledge and control of everything taking place in the system.


| 22 Oct 1948 |
Lynette Alice Fromme born to Helen Benzinger Fromme and William Millar Fromme (an aeronautical engineer), Santa Monica CA. |
| 1963 |
Family moves to Redondo Beach, CA. |
| 1966 |
Graduates high school. |
| 1967 |
Meets Charles Manson at Venice Beach. |
| Sep 1972 |
Arrested in connection with the murders of James and Reni Willet, for which she was not actually involved. |
| 2 Jan 1973 |
Charges against Fromme dropped in Willet case. |
| 5 Sep 1975 |
Manson Family member Lynette "Squeaky" Fromme almost assassinates President Gerald Ford with a .45 automatic in Sacramento, California. But Fromme is tackled by a Secret Service agent before she can remember to rack a round into the firing chamber. |
| Nov 1975 |
Convicted of attempting to assassinate Ford. |
| 8 Mar 1979 |
Attacks fellow inmate Julienne Busic with a claw hammer, striking her on the head, at Women's Correctional Institute in Pleasantion CA. Busic, a Croatian nationalist, was in prison for hijacking a TWA airliner back in 1976. Fromme receives 15 additional months appended to her sentence for this attack. |
| 23 Dec 1987 |
Escapes from Alderson Federal Penitentiary, Alderson WV. |
| 25 Dec 1987 |
Reapprehended. |
| 5 Sep 2005 |
Tentative release date. |


Chicken (whole chicken, drumsticks or chicken breast)
Pepper and salt (to taste)
2 medium onions
3 Knorr cubes
2 teaspoons thyme
2 teaspoons curry powder (Nigerian curry powder)
Making a Family size Pot
Rinse the rice to get rid of some starch then parboil: Bring the rice to a boil with 2 cups of the stock (or water) then cook on medium heat, covered, about 12 to 15 minutes. Rice will still be hard, a bit "white" (not translucent) and only partly cooked. Remove from the heat and set aside.
In a blender, combine tomatoes, red poblano (or bell) peppers, chopped onions, and chile pepper; blend till smooth, about a minute or two. You should have roughly 4 cups of blended mix.
In a large pan, heat oil and add sliced onion. Season with a pinch of salt, stir-fry for a minute or two, then add the tomato paste, curry powder, dried thyme and bay leaves. Stir for another 2 minutes. Add the blended tomato-pepper-chile mixture, stir, and set on medium heat for 10 to 12 minutes so the mix cooks and the raw taste of the tomatoes is gone. You might feel your eyes sting with onions
Add 2 cups of the stock to the cooked tomato sauce, 1 teaspoon of butter, and then add the parboiled rice. Stir, cover with a double piece of foil/ baking or parchment paper and put a lid on the pan. This will seal in the steam and lock in the flavour. Cook on low heat for 15 minutes. Stir again, adjust seasoning to taste, then add the remaining 1 cup of stock. Stir, cover with foil/ baking or parchment paper and let cook for another 15 to 20 minutes, stirring every 10 minutes or so to prevent burning and till the rice is cooked and the grains are separate.
Don't be afraid to add some more stock or water—by the half-cup, stirring gently—if you find it a bit hard. When it’s cooked, take off heat and remove the cover of the pot. Put a tea cloth over the top and leave for half an hour or more, till ready to serve.
To make Party Rice, you'll need one more step. Now Party Rice is essentially Smoky Jollof Rice, traditionally cooked over an open fire. However, you can achieve the same results on the stove top. Here's how: Once the rice is cooked, turn up the heat with the lid on and leave to "burn" for 3 to 5 minutes. You'll hear the rice crackled and snap and it will smell toasted. Turn off the heat and leave with the lid on to "rest" till ready to serve. The longer the lid stays on, the smokier. Let the party begin!


| validateurl | index /home/sarroutbi/personal/MSWL/MSWL_SUBJECTS/DEVELOPMENT_TOOLS/arsespyder/pyarsespyder/validateurl.py |
# Copyright 2013-2014 Sergio Arroutbi Braojos<EMAIL_ADDRESS>#
# Permission to use, copy, modify, and/or distribute this software
# for any purpose with or without fee is hereby granted, provided that
# the above copyright notice and this permission notice appear in all copies.
 IN NO EVENT SHALL THE AUTHOR BE LIABLE FOR ANY SPECIAL, DIRECT,
# INDIRECT, OR CONSEQUENTIAL DAMAGES OR ANY DAMAGES WHATSOEVER RESULTING FROM
# LOSS OF USE, DATA OR PROFITS, WHETHER IN AN ACTION OF CONTRACT,
# NEGLIGENCE OR OTHER TORTIOUS ACTION, ARISING OUT OF OR IN CONNECTION WITH
# THE USE OR PERFORMANCE OF THIS SOFTWARE
#
| Functions | ||
|


In this task you are going to listen a dialog between 2 friends and answer to the questions afterwards
Last updated 17 mins ago
In this task you are going to read a dialog between 2 friends and answer to the questions afterwards
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In this task you are going to write a dialog between 2 friends and answer to the questions afterwards
Last updated 17 mins ago
In this task you are going to listen a dialog between 2 friends and talk within related topic for 2 minutes
Last updated 17 mins ago
In this task you are going to learn about Present Continuous
Last updated 17 mins ago


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What is snaptasq
snaptasq is an online software product that allows users to accomplish simple tasks with people they are closest to. Users request and monitor tasks to be done by a list of people they are already closest to. snaptasq was founded when Robert Irribarren
observing his friends at college needing small tasks completed when stuck studying. For the time being they were using a Facebook group to accomplish these task. To expand features beyond what the Facebook group was capable of providing, Robert
decided to create an app focused on "friends helping friends".
Our Team
Robbie Irribarren
CEO + Founder
The visionary for redefining the "Online Social Communities" for revolutionizing how societies take on work has led Robert Irribarren to pioneer the concept of “Service Networking,” forging a leading role in the Collaborative Consumption movement. Since
starting snaptasq in 2015, Robbie has led snaptasq to a thriving steady rate of growth.
Adam Brinning
Chief Marketing Officer
A seasoned marketing executive with a passion for operational, analytical, and strategic development inspired Adam Brinning to join snaptasq, where he applied his considerable experience of expanding the marketplace. Before managing the marketspace of
snaptasq, Adam has spearheaded wurlpool and high five.
Sylvia Leung
Senior UI/UX Designer
Visual and interaction designer focused on designing UI/UX for snaptasq. As a designer she strives to achieve a higher level of communication with others through visual interpretations and to reach a final product that is both unique and innovative in
style.
Rohit Jindal
Lead QA
Talented and proficient Quality Assurance Tester. Rohit plays a pivotal role in the ongoing development of features that are built into snaptasq. He provides invaluable feedback from his extensive testing all of which is done in a Black Box setting.


Man Utd eyeing Matheus Pereira transfer as Sporting Lisbon star impresses on West Brom loan
Ole Gunnar Solskjaer's scouts have been impressed with Pereira's performances since coming to England and could
by Irishmirror.ieManchester United are keeping tabs on West Brom loan star Matheus Pereira.
The 23-year-old Sporting Lisbon winger has excelled at The Hawthorns this season and has become a firm favourite with Baggies fans.
But his form has also caught the eye of several top-flight clubs with United among them.
West Brom have an option to sign Pereira for £8.25million but that won’t put off other admirers.
The Brazilian spent last season on loan in the Bundesliga with Nuremburg and the previous campaign with Portuguese side Chaves.
Meanwhile, United are plotting a £200million double swoop for Jadon Sancho and Erling Haaland in January.
Ole Gunnar Solskjaer has identified the 19-year-old duo as his priority targets, with United ready to move swiftly when the window re-opens, to try to land them ahead of their rivals.
Both are likely to cost United close to £200million, with Borussia Dortmund and England winger Sancho valued at £100m and RB Salzburg and Norway striker Haaland at £85m.
Sancho is having a difficult time at Dortmund, with United alerted to his potential availability in January, rather than next summer, when they had planned to move for him.
Despite a clutch of goals and assists already this season, Sancho was hauled off after just 36 minutes of Dortmund's recent clash with title rivals Bayern Munich.
That came on the back of Sancho being fined by Dortmund for returning late from England duty following last month's international break.
The feeling at United is there is an opportunity to take advantage of the discord between Sancho and Dortmund, with a January bid that could ultimately suit both parties.
With Haaland, United hope his relationship with Solskjaer, who managed him at Molde, can give them a head start over their rivals in the race to sign Europe's most prolific young striker.
Haaland, son of former City and Leeds midfielder Alf-Inge, has made an explosive start to the season, scoring 22 goals in 16 appearances, including seven in the Champions League.


The GenEx semantic model is designed to capture and structure gene expression information at a higher level relative to others such as the on at Expression Atlas semantic model. By doing so, we intend to model the data meanings which are expected by the end-users such as biologists. For example, often biologists are not interested in knowing expression scores, that depend on the method used; the data transformations; or the methods used. Rather, for instance, they might look for an interpretation of expression scores, such as whether a gene is highly expressed. Figure 1 illustrates a portion of GenEx. This semantic model was defined by using the OWL 2 Description Logics (DL) . The methodology to develop GenEx was inspired by the Simplified Agile Methodology for Ontology Development (SAMOD).
As depicted in Figure 1, we define a concept for describing absence of gene expression so-called genex:AbsenceExpression. The genex:AbsenceExpression class is a subclass of the complement of genex:Expression class (i.e. genex:AbsenceExpression ⊑ ¬ genex:Expression). genex:Expression is the concept for representing gene expression according to a given experimental condition (e.g. sex and anatomical entity). genex:AbsenceExpression is not equivalent to the negation of the genex:Expression because it may lack experiments to conclude that a gene is expressed (i.e. missing gene expression information). Therefore, solely data processed from experiments which confirm no presence of expression are described by using the genex:AbsenceExpression class. We highlight that the Bgee database provides absence of expression, Bastian et al. in [1] describe how the absence of expression information is computed in the Bgee database by also discussing about expression calls.
We mostly considered to reuse the following ontologies:
One of the main semantic modelling issues GenEx addresses is to provide terms and a data schema for explicitly describing and structuring multiple combined conditions for gene expression. For example, the HBB human gene is highly expressed in the cerebellum of 6-12 year-old child stage. Thus, experiments to derive this conclusion were mainly performed under two conditions: a human developmental stage and the cerebellum anatomical entity. When comparing this part of GenEx with the Expression Atlas (EA) semantic model, EA represents these conditions in a less structured manner. To better illustrate this, Figure 2 exemplifies the lack of structure due to heterogeneities at the data level (i.e. RDF instances and literals) in the EA model when describing a liver sample (i.e. “organism part” is equivalent to “ORGANISM_PART”). In GenEx, we explicitly define a relation for each experimental condition such as the genex:hasAnatomicalEntity property assigned with an Uber-anatomy (UBERON) class as value by punning. We reuse Experimental Factor Ontology (EFO) classes instead of defining literals (see Figure 2).
The trade-off between virtualisation and materialisation is addressed by formally defining semantic rules to infer property assertions. These rules are defined with the Semantic Web Rule Language (SWRL) . Code fragment 1 depicts an example of a rule to infer the genex:isExpressedIn property, and consequently, the ro:RO_0002206 property labelled as “expressed in” and illustrated in Figure 1. This is because of the DL statement genex:isExpressedIn ⊑ ro:RO_0002206 in GenEx. By considering an inference engine based on backward-chaining methods, and supporting DL-safe rules such as SWRL, we can avoid the materialisation of billions of triples. This is because these triples are actually inferred by applying the SWRL rules at query execution time. Moreover, these rules facilitate access to the gene expression information thanks to a semantic enrichment. For example, just for Homo sapiens, we can derive from the Bgee database hundreds of millions of expressed in / absent in assertions (i.e. triples). Although the rules in GenEx are defined with SWRL, they can be translated into other languages (e.g. any DL-safe rule syntax supported by a triple store), including SPARQL subqueries. Due to performance issues when inferring these assertions during query execution, in some use cases such as when only few assertions can be derived, it is recommendable to fully or partially materialise these assertions (e.g. caching). As a limitation, GenEx does not at present support differential expression analysis such included in the Expression Atlas RDF schema. This is because we mostly focus on describing information that may be extracted from the present state of the Bgee database. GenEx can be viewed as a start point towards an ontology to structure gene expression information. We consider GenEx a semantic model rather than an ontology. This is because, currently, it is not necessarily a shared conceptualisation among all stakeholders of interest, which include but not only the following gene expression database teams Bgee, Expression Atlas, GENEVESTIGATOR, and Tissue, and others (e.g. the Model Organisms Databases).