FROM THE OFFICE OF ENGR.ALI RAZAK. FEDERAL MINISTRY OF WORKS AND HOUSING FEDERAL SECRETARIAT OFFICE COMPLEX FALOMO, IKOYI - LAGOS. Dear Sir/Madam First, I must solicit your strictest confidence in this transaction, this is by virtue of it's nature as being utterly confidential and top secret as you were introduced to us in confidence through the Nigerian Chamber of Commerce, foreign trade division. We are top officials from the Federal Ministry of Works and Housing,(FMWH),Federal Ministry of Finance and the Presidency, making up the Contract Review Panel (CRP) set up by the Federal Government of Nigeria to review contracts awarded by the past military administration. In the course of our work on the CRP, we discovered this fund which resulted from grossly over-invoiced contracts which were executed for theFMW&H during the last administration. The companies that executed the contracts have been duly paid and the contracts commissioned leaving the sum of US$17.4 Million floating in the escrow account of the Central Bank of Nigeria ready for payment. I have therefore been mandated as a matter of trust by my colleagues in the panel to look for an overseas partner to whom we could transfer the sum of US$17.4M legally subcontracting the entitlement to your company. This is bearing in mind that our civil service code of conduct forbids us from owning foreign company or running foreign account while in government service hence the need for an overseas partner. We have agreed that the funds will be shared thus after it has been paid into your account: (1) 30% of the money will go to you for acting as the beneficiary of the fund. (2) 10% has been set aside as an abstract projection for reimbursment to both parties for incidental expences that may be incurred in the course of the transaction. (3) 60% to us the government officials (with which we wish to commence an importation business in conjunction with you ). All logistics are in place and all modalities worked out for the smooth conclusion of the transaction within ten to fourteen days of commencement after receipt of the following information: Your company name, address, company's details & activities, telephone & fax numbers. These information will enable us make the applications and lodge claims to the concerned ministries & agencies in favour of your company and it is pertinent to state here that this transaction is entirely based on trust as the solar bank draft or certified cheque drawable in any of the Central Bank of Nigeria correspondent bankers around the world is going to be made in your name. lease acknowledge the receipt of this letter using my tating your tel/fax number for further details. Yours faithfully, ENGR.ALI RAZAK.


Pave is a time management tool that helps improve and enhance productivity in one of the most reliable ways possible. It is easily customizable to the needs of the user to ensure they stay organized on all their tasks and activities.
View ProjectTilde is a gesture control, magic wand tool for interacting and controlling other applications accross external devices such as a laptop, desktop or tablet.
View Project42 Sttom is a digital multi media company aimed to create, capture and convey emotionally powerful messages by exploring stories and talents through art, pictures and videos.
More InfoPave is a time management tool that helps improve and enhance productivity in one of the most reliable ways possible. It is easily customizable to the needs of the user to ensure they stay organized on all their tasks and activities.
View ProjectTilde is a gesture control, magic wand tool for interacting and controlling other applications accross external devices such as a laptop, desktop or tablet.
View Project42 Sttom is a digital multi media company aimed to create, capture and convey emotionally powerful messages by exploring stories and talents through art, pictures and videos.


Module logsweet.core
¶
This module contains the core functionality.
-
logsweet.core.
listen_and_print
(bind_address: Optional[str] = None, connect_addresses: Optional[Sequence[str]] = None, config_file: Optional[TextIO] = None, interval: float = 0.1, exec_actions: bool = False)[source]¶ Connects to watchers and proxies with a ZeroMQ SUB socket and/or binds a ZeroMQ PULL socket for watchers and proxies to connect to; and prints the received lines.
Parameters: - bind_address (Optional[str]) – The address to bind the PULL socket to. (Listening for incoming connections from watchers or proxies.)
- connect_addresses (Optional[Sequence[str]]) – The addresses to connect a SUB socket to. (Actively connecting to watchers or proxies.)
- config_file (Optional[TextIO]) – The name of a YAML configuration file.
- interval (float) – The timeout in seconds when waiting for new messages before handling possible interruption.
- exec_actions (bool) – A switch to activate the execution of actions.
-
logsweet.core.
proxy
(backend_bind_address: Optional[str] = None, backend_connect_addresses: Optional[Sequence[str]] = None, frontend_bind_address: Optional[str] = None, frontend_connect_addresses: Optional[Sequence[str]] = None, interval: float = 0.1)[source]¶ Parameters: - backend_bind_address (Optional[str]) – The address to bind the PULL socket to. (Listening for incoming connections from watchers and other proxies.)
- backend_connect_addresses (Optional[Sequence[str]]) – The addresses to connect a SUB socket to. (Actively connecting to watchers and other proxies.)
- frontend_bind_address (Optional[str]) – The address to bind a PUB socket to; Listening for incoming connections from listeners or other proxies.
- frontend_connect_addresses (Optional[Sequence[str]]) – The addresses to connect a PUSH socket to; Actively connecting to one listener or multiple other proxies.
- interval (float) – The timeout in seconds when waiting for new messages before handling possible interruption.
-
logsweet.core.
watch_and_send
(file_glob: str, bind_address: Optional[str] = None, connect_addresses: Optional[Sequence[str]] = None, config_file: Optional[TextIO] = None, exec_actions: bool = False, all_lines: bool = False, tail_lines: int = 0, encoding: Optional[str] = None, name: str = 'unknown', echo: bool = False)[source]¶ Start following text files, sending new lines via a ZeroMQ PUB and/or PUSH socket.
Parameters: - file_glob (str) – A path to the text file to tail.
- bind_address (Optional[str]) – The address to bind the PUB socket to; Listening for incoming connections from listeners and proxies.
- connect_addresses (Optional[Sequence[str]]) – The addresses to connect a PUSH socket to; Actively connecting to one listener or multiple proxies.
- config_file (Optional[TextIO]) – The name of a YAML configuration file.
- exec_actions (bool) – A switch to activate the execution of actions.
- all_lines (bool) – A flag to indicate if already existing content of the file should be broadcasted.
- tail_lines (int) – Indicates a number of trailing lines to broadcast before following new lines.
- name (str) – The name of this broadcaster.
- echo (bool) – If True, new lines are printed to the console.
- encoding (Optional[str]) – Specifies the encoding for reading the text files. If None defaults to preferred encoding of current user.
-
logsweet.core.
write_logfiles
(logfiles: Sequence[str], interval: float = 0.5, max_n: Optional[int] = None)[source]¶ Writes random entries into one or multiple log files.
Parameters: - logfiles (Sequence[str]) – An iterable with file names to log files.
- interval (float) – The interval for entry generation in seconds.
- max_n (Optional[int]) – The maximal number of entries to write.


interface KettleScreen : Screen
(source)
| engine |
abstract val engine: Kettle
The engine associated with this screen |
| guiCamera |
abstract val guiCamera: Camera
Camera to render GUI with |
| dispose |
open fun dispose(): Unit
Dispose of assets internally used by screen |
| hide |
open fun hide(): Unit
Hide screen |
| pause |
open fun pause(): Unit
Pause screen |
| render |
open fun render(delta: Float): Unit
Render |
| resize |
open fun resize(width: Int, height: Int): Unit
Resize screen |
| resume |
open fun resume(): Unit
Resume screen |
| show |
open fun show(): Unit
Show screen |


"The Engineering Academy is a premier programme to develop Engineering Innovators."
- SP Website
Engineering Academy gives me many opportunities to widen my skillset and explore limitless boundries in expressing my creativity with well equipped FabLab facilities.
FabLab facilities gave me the opportunity to learn different crucial skills.
Example: 3D Printing Machines are readily available for me to 3D print designs I have made in Fusion 360 using Ultimaker Cura.
~WARNING: *SCROLL DOWN* *PROJECT PAGE* *SCROLL DOWN* *PROJECT PAGE*~


{% load static %}
Grow fragments from core molecule for HTL or LO
Search analogs for your hit with several optimised methodologies
Rapidly generate a ANM ensemble of your pdb


Web accessibility
Web accessibility means that websites, tools, and technologies are designed and developed so that
people with
disabilities can use them.
Why it is important?
- 15% of people have a disability that could affect how they browse the web
- The concept of accessibility doesn’t just apply to people with disabilities – all users will
have different needs at
different times and in different circumstances.
Some statistics...
- 4.5% of the global population experience color blindness, 4% suffer from low vision, and 0,6%
are completely
blind.
- over 5% of the world’s population has a disabling hearing loss
- it’s estimated that by 2050 over 900 million people (1 in 10 people) will have a hearing
impairment
Disabilities & assistive technologies
| Visual |
Mobility |
Hearing |
| Screen readers |
Voice recognition |
Captions |
| Screen Magnifiers |
Head pointers |
Visual signs |
| Audio descriptions |
Motion tracking |
Automatic transcription |
| Color contrast |
Eye tracking |
|
| Audio Signals |
Single switch entry devices |
|
Screen reader
Screen reader
Eye tracking device
Common problems
Text links in a different font color
This sounds okay, until you think about the fact that anyone with colour blindness will struggle with
calls to
action that are visually conveyed through colour alone.
Link in different color
Warning in red color
Missing or poor alternative text on images
Bad alt text:
alt="Image of a park"
Color contrast
Image contrast
Inaccessible font-family/font-size
Someone
with a cognitive impairment like dyslexia might quickly give up on trying to read it.
How can we improve website's accessibility?
- Use semantic html
- Navigation
- Use correct Headings
- Alternative text
- Proper styles: color contrast, fonts, layout


Dashboard
Student
New
List
Teacher
New
List
Courses
New
List
Exams
New
List
Settings
Profile
Overview
THAPA KIRANA PASAL
Regular costumer
250
No of employee
3
Total product
More than 3000
Budget of product
Rs: 35 lakh
+10%
Daily sales
70000
Progress
Yearly 15%
Course Fees
RS 22,000


[gecode-users] Visual Studio 2008
Nick Hindle
nick.hindle at tesco.net
Mon Jul 21 19:46:06 CEST 2008
Hi,
I've downloaded Gecode 2.1.1 and built some of the examples using Visual C++ Express 2008, but at runtime I get a memory allocation error in the print function. It appears this is because none of the IntVar values have been initialised by the branching process.
Can you confirm if VC++ 2008 supported?
Thanks,
Nick
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NPM
Installation with npm is simple. Invoke the following command from the root of your project to install and save Stardux as a dependency.
$ npm install stardux --save
Duo
Installation with duo can be achieved in
two ways. With a manifest file (component.json
) or directly in your
require()
or import
statements.
Manifest (component.json)
Add the following to your .dependencies
object in your manifest file.
{
...
"dependencies": {
"littlstar/stardux": "*"
}
}
Inline (require/import)
Add the following to your require
or import
statements.
const stardux = require('littlstar/stardux')
import stardux from 'littlstar/stardux'
Distribution Build
You can grab a copy of the distribution build found in the dist/ directory.
From Source
You can build stardux yourself by following these steps:
$ git clone https://github.com/littlstar/stardux.git
$ cd stardux
$ make
You can build a distribution version by invoking:
$ make dist
You can then find a built version in the build/
directory in your
path.


XML Conversion
Name
Action...
XML to JSON
XML to CSV
Select file
Clear All
Convert
Clearly something is unusal.


Before Change
atol = 1e-6
y0 = [1/3, 2/9]
with warnings.catch_warnings():
warnings.simplefilter("ignore")
for vectorized, method, t_span, jac in product(
[False, True],
["RK23", "RK45", "Radau", "BDF", "LSODA"],
[[5, 9], [5, 1]],
[None, jac_rational, jac_rational_sparse]):
if vectorized:
fun = fun_rational_vectorized
else:
fun = fun_rational
res = solve_ivp(fun, t_span, y0, rtol=rtol,
atol=atol, method=method, dense_output=True,
jac=jac, vectorized=vectorized)
assert_equal(res.t[0], t_span[0])
assert_(res.t_events is None)
assert_(res.success)
assert_equal(res.status, 0)
assert_(res.nfev < 40)
if method in ["RK23", "RK45", "LSODA"]:
assert_equal(res.njev, 0)
assert_equal(res.nlu, 0)
else:
assert_(0 < res.njev < 3)
assert_(0 < res.nlu < 10)
y_true = sol_rational(res.t)
e = compute_error(res.y, y_true, rtol, atol)
assert_(np.all(e < 5))
tc = np.linspace(*t_span)
yc_true = sol_rational(tc)
yc = res.sol(tc)
e = compute_error(yc, yc_true, rtol, atol)
assert_(np.all(e < 5))
tc = (t_span[0] + t_span[-1]) / 2
yc_true = sol_rational(tc)
yc = res.sol(tc)
e = compute_error(yc, yc_true, rtol, atol)
assert_(np.all(e < 5))
// LSODA for some reasons doesn"t pass the polynomial through the
// previous points exactly after the order change. It might be some
// bug in LSOSA implementation or maybe we missing something.
if method != "LSODA":
assert_allclose(res.sol(res.t), res.y, rtol=1e-15, atol=1e-15)
def test_integration_complex():
rtol = 1e-3
atol = 1e-6
y0 = [0.5 + 1j]
After Change
atol = 1e-6
y0 = [1/3, 2/9]
for vectorized, method, t_span, jac in product(
[False, True],
["RK23", "RK45", "Radau", "BDF", "LSODA"],
[[5, 9], [5, 1]],
[None, jac_rational, jac_rational_sparse]):
if vectorized:
fun = fun_rational_vectorized
else:
fun = fun_rational
with suppress_warnings() as sup:
sup.filter(UserWarning,
"The following arguments have no effect for a chosen solver: `jac`")
res = solve_ivp(fun, t_span, y0, rtol=rtol,
atol=atol, method=method, dense_output=True,
jac=jac, vectorized=vectorized)
assert_equal(res.t[0], t_span[0])
assert_(res.t_events is None)
assert_(res.success)
assert_equal(res.status, 0)
assert_(res.nfev < 40)
if method in ["RK23", "RK45", "LSODA"]:
assert_equal(res.njev, 0)
assert_equal(res.nlu, 0)
else:
assert_(0 < res.njev < 3)
assert_(0 < res.nlu < 10)
y_true = sol_rational(res.t)
e = compute_error(res.y, y_true, rtol, atol)
assert_(np.all(e < 5))
tc = np.linspace(*t_span)
yc_true = sol_rational(tc)
yc = res.sol(tc)
e = compute_error(yc, yc_true, rtol, atol)
assert_(np.all(e < 5))
tc = (t_span[0] + t_span[-1]) / 2
yc_true = sol_rational(tc)
yc = res.sol(tc)
e = compute_error(yc, yc_true, rtol, atol)
assert_(np.all(e < 5))
// LSODA for some reasons doesn"t pass the polynomial through the
// previous points exactly after the order change. It might be some
// bug in LSOSA implementation or maybe we missing something.
if method != "LSODA":
assert_allclose(res.sol(res.t), res.y, rtol=1e-15, atol=1e-15)
def test_integration_complex():
rtol = 1e-3
atol = 1e-6
y0 = [0.5 + 1j]


Those APIs allow you to use your feeds from differents RSS services into one interface. Here are the currently added APIs:
To add a new API, select the service type: --- MyWebRSS API OwnCloud API Selfoss API Tiny Tiny RSS API
For some services types, you can select an other URL (to use it from your own server for example). If you don't know what to put in here, leave it by default:
Add an API


| BackHandler |
Component to handle back key (android, backspace) |
| Blocker |
Component to block input on specify zone by node |
| Button |
Component to handle basic GUI button |
| Drag |
Component to handle drag action on node. |
| Hover |
Component to handle hover node interaction |
| Scroll |
Component to handle scroll content. |
| StaticGrid |
Component to handle placing components by row and columns. |
| Swipe |
Component to handle swipe gestures on node. |
| Text |
Component to handle all GUI texts. |
| BaseComponent |
Basic class for all Druid components. |
| druid |
Druid UI Library. |
| DruidEvent |
Lua event small library |
| Checkbox |
Druid checkbox component |
| CheckboxGroup |
Checkbox group module |
| DataList |
Component to manage data for huge dataset in scroll. |
| DynamicGrid |
Component to handle placing components in row |
| Input |
Druid input text component. |
| LangText |
Component to handle all GUI texts
Good working with localization system |
| Progress |
Basic progress bar component. |
| RadioGroup |
Radio group module |
| Slider |
Druid slider component |
| Timer |
Component to handle GUI timers. |
| druid.helper |
Text node or icon node can be nil |
| DruidInstance |
Instance of Druid. |


Drag your exported Sugarcube HTML file on to this page and it will replaced the embedded libraries with linked ones, which will greatly reduce the file size.


Homework Assignments
January Homework Assignments
The submission term for the January Homework Assigment has expired
You can look at the solutions, 2 DOF System, Support Motion and Rayleigh Quotient.
I'd like to show you also an alternative procedure for the solution of the first problem.
The January Homework Assigment has been published.
To be admitted to February exams you must submit your solutions not later than January 31st and score more than 60 points over a maximum of 100.
Detailed instructions are enclosed in the text of the assignment.
August Homework Assignment
The August Homework Assigment's term has expired.
The solutions of the exercises are now partially available.
The solution of the Isolation problem will folllow soon.
The August Homework Assigment has been published.
To be admitted to September exams you must submit your solutions not later than August 31st and score more than 60 points over a maximum of 110.
Detailed instructions are enclosed in the text of the assignment.
June Homework Assignment
The June Homework Assigment's term has expired.
The solutions of the exercises are now partially available.
The solution of the Impact problem will folllow soon.
Objectives
The course deals with the dynamical response of mechanical systems, linear and non-linear, under the assumption of small displacements.
Focus is given to
- analytical and numerical methods for the integration of the equations of motion, both in time and in frequency domain,
- the numerical methods for the eigen-analysis of multiple degrees of freedom systems and
- earthquake engineering applications.
Organization
This year we'll have 13 or 14 weekly classes, inclusive of tutorials and computational exercises.
All the slides used in classes will be (almost) immediately made available on this page after each class.
If you want to have a look at the slides before a class, last year's slides are still available. Remember, however, that I'm still slowly changing the content and the organization of my lessons and that the reference material is only what I post here.
Exam
The exam is based on an oral test and a preliminary written test.The oral test consists in a discussion of a few of the topics that we have touched during our classes.
The preliminar written test consists in a homework, comprising a variable number of problems, assigned ten days or so in advance of the exam call.
The final mark will be based mainly on the oral test.
Recommended books
- Ray W. Clough, Joseph Penzien,
Dynamics of Structures.
This classic text is sold solely by the software house linked above. You can find an used copy with a bit of luck. - Anil K.Chopra, Dynamics of Structures (Theory and Applications to Earthquake Engineering), 4th ed.
The first part of the course follows Clough and Penzien's book, the second part follows Chopra's. Should you prefer to buy a single book, my advice is buy Chopra's.
Note that a fair number of copies of Chopra's book (3rd ed.) are available from the campus library in Lecco, note also that Chopra's 2nd and 3rd editions are widely available at lower prices and are perfectly appropriate for my course.
Homeworks
Each homework comprises a set of exercises. While many of these exercises won't require more than paper, pencil and a hand-held calculator, the remaining ones will require plotting a time series or a bit of really elementary matrix algebra, i.e., things that every half-decent spreadsheet can do. Of course specialized programs, let's say Mathematica, Matlab or Matlab's free clone Octave can be helpful, to say the least...
A pleasant alternative to proprietary stuff is the IPython notebook, an example of which is the solution of an exercise I've assigned in 2012.


top
|
up
| prev |
next
CodeGenerator Class
Definition at line
12
of
CodeGenerator.hpp
Constructors
CodeGenerator
(
EmittingContext
& emittingContext)
Member Functions
CodeGenerator
*
GetBaseCodeGenerator
()
const
Member Variables
CodeGenerator
*
baseCodeGenerator
Constructor Details
CodeGenerator Constructor
cmajor::codegen::CodeGenerator::CodeGenerator(
EmittingContext
& emittingContext)
Definition at line
50
of
CodeGenerator.cpp
Declaration at line
15
of
CodeGenerator.hpp
Member Function Details
GetBaseCodeGenerator Member Function
CodeGenerator
* cmajor::codegen::CodeGenerator::GetBaseCodeGenerator()
const
Definition at line
17
of
CodeGenerator.hpp
top
|
up
| prev |
next


{% extends "__base.html" %} {% block content %} Delete Post #{{ post.id }} {% csrf_token %} Are you sure you want to delete {{ post.title }} ? Delete Back {% endblock %}


Attention: You own a stale SharePoint site!!!
This is the FINAL notification, the Site will automatically be deleted in 7 days unless you update some content on the Site to update the last modified date.
Site Title: {0}
Site URL: {1}
To view the Site contents, click here
To delete the Site, click here
Please reference the Stale Site Deletion FAQ article for more information.
If you have any additional questions please open a Helpdesk ticket for SharePoint Support if you have questions or want to speak to the SharePoint support staff.


fun String.codePointSequence(): Sequence<Int>
Produces a Sequence of the Unicode code points in the given String.


POI Project 1FROEC53 Mainpage
Please note: Spamming requests on the server (120req+/30sec) will result in a short temporary block; to keep the server safe.
Features:
- Object Orienten Approach (incl. wrappers for socket.io and leaflet.js) -
- On Map Application (full controll inside of popups on map) [toHtml() and fromHtml()] -
- Content of markers is loaded on demand (popup open), range of markers is loaded on map movement/panning/zooming -
- First Party App synchronises markers in real time with other visitors (Full-Duplex Websocket Connection and POI Events) -
- Websocket server with portable SQLite3 POI database -
- Proxy server that transfers HTTP POST Requests through a socket connection to the Websocket server -
- Third Party App that exploits the OOM and uses its own php.script to CURL POST Requests to the Proxy server -
- POI Filter + realtime auto complete filter input -
- Open Popups will stop the panning to update the marker list (until they are closed) -
- Simple click somewhere on the map to add a new POI -
- Will automatically get the devices geo position and update the map area on Mobile and Desktop devices -
- Works on mobile devices, make sure to pinch in on a non map area to have easy access to the popups -
- Implemented but not executed in apps: user login, circle, polygon wrapper a.m. -
Clients Use:
jQuery + jQueryUI License
Servers Use:
npm:
express
body-parser
socket.io + socket.io-client
socket-anti-spam
sqlite3
forever


jsContract is a tool for implementing code contracts in Javascript.
Code contracts are implemented as a series of statements in the head of each function supporting both pre- and postconditions.
myFunction(a,b,c) {
Contract.expectNumber(a,"a is not a number");
Contract.guaranteesString("The result was not a string");
To support postconditions one has to instrument the script (rewrite it) using a call to
Contract.instrument
, such as
var script = ".......";
var instrumented = Contract.instrument(script);
One can also use the Contract framework to asynchronously load and instrument files using
Contract.load
In the left textbox you will find an example of a class that is set up with code contracts.
When run this code will only execute the
precondition
statements, since the return values are not yet availabe.
To see the instrumented code press the button.
To see the regular and instrumented code in action, take a look at test.html


{% extends 'core/base.html' %} {% load crispy_forms_tags %} {% block content %}
Start by choosing a channel where notifications will be posted through the webhook.


Dear Sir/Madam,
I greet you in the Name of GOD.
I am MRS DEBORAH WILLIAMS from South Africa.I am married to Late MR DAVID
WILLIAMS of blessed memory who was an oil explorer in Kuwait and Brunei for
fifteen years before he died in the year 2000.
We were married for twelve
years without a child. He died after a brief illness that lasted for only four
days. Before his death we were both devoted to our God and respect other who
serve him. Since his death, I too have been battling with both Cancer and
fibroid problems. When my late Husband was alive he Deposited the sum of
$18.5million (Eighteen Million, Five Hundred thousand U.S Dollars) with a
Deposit Company in Europe.the money is deposited as Family Valuables/Treasure
for security reasons.
Recently, my doctor told me that I have only six
months to live due to my cancer problem, and this lead to a stroke attack which
bother me most though because I cannot move as I use to. Having known my
condition I decided to entrust this fund to either a philanthropic organization
or devoted individual that will utilize this money the way I am going to
instructs herein.30% of the US$18.5million goes to you to ensure that you are
prepared for the task ahead, 60% of this money will be used in all sincerity to
fund philanthropic organization, orphanages, widows and 5% will go to the family
Attorney who will prepare the Authorisation and the balance 5% sent to me to at
least prepare for my funeral and off-set my medical bills.
I am taking this
decision because I don't have any child or devoted relations whose behavior has
left much to be desired while I am ill and above all I don't want a situation
where this money will be used in an UnGodly manner,hence this bold
decision.
Since my health is Retrogressing by the minute, you
will have to send your POSTAL ADDRESS, CONTACT PHONE NUMBER AND FAX and a little
details about yourself, because I got your address from the internet after a
thorough search.
As soon as I receive this information from you I will make
arrangement to prepare the Authorization through the family Attorney for you to
get Possession of the Deposit. As soon as I receive your reply to my
confidential email
address.
<EMAIL_ADDRESS>and
the authorization is given to you by me, I will give you the name and contact of
the Deposit company where the money was Deposited in Europe, for claims to the
consignment.

May the Almighty God continue to guide and protect
you.
Remain Blessed,
MRS DEBORAH WILLIAMS.
NOTE; All replies should
be forwarded to my confidential email address:
deberahwilliams100@kaixo.com


The only difference between HTTP exception filter layer and corresponding microservices
layer is that instead of throwing HttpException
, you should rather use RpcException
.
{{ rpcException }}
Hint TheRpcException
class is imported from the@nestjs/microservices
package.
Nest will handle thrown exception and as a result, returns the error
object with the following structure:
{{ exceptionResponse }}
The exception filters work in the same fashion as the primary ones, with a one, small difference. The
catch()
method has to return an Observable
.
{{ rpcExceptionFilter }}
{{ rpcExceptionFilterJs }}
Warning It is impossible to set up the microservices exception filters globally.
Here is an example that makes use of a manually instantiated method-scoped filter (class-scoped works either):
{{ example }}
Typically, you'll create fully customized exception filters crafted to fulfill your application requirements. There might be use-cases though when you would like to reuse an already implemented, core exception filter, and override the behavior based on certain factors.
In order to delegate exception processing to the base filter, you need to extend BaseExceptionFilter
and
call inherited catch()
method. Besides, HttpServer
reference has to be injected and passed
to the
super()
call.
{{ inheritance }}
{{ inheritanceJs }}
Obviously, you should enhance above implementation with your tailored business logic (e.g. add various conditions).


Adding new tests to glean
On this page, we'll consider some general testing principles and
suggest areas in which new tests are needed.
When you're ready to implement a new test, check out the
overview of glean internals.
Guidelines for writing glean tests
To define a new test, first create a new test class derived from
Test. Most of the time you'll want to write tests
that run on all drawing surface configurations and are portable
(in the sense that they don't use any OS- or window-system-dependent
data structures exposed in the Environment, WindowSystem,
and DrawingSurface classes). Starting from BasicTest may
be easiest in those cases.
Once you've created a new test class, create one or more global
objects of that class. The constructor for Test ensures that
all such objects are automatically linked onto the master list of
tests. (Creating test objects dynamically isn't recommended, but if
you can make a good argument for it we can figure out the rules needed to
make it work.) Every test must have a good description; it's very much
worthwhile to add text that will help the user understand the results
or debug the problem if something goes wrong.
The first workhorse method in any test class is run().
Here are some things to remember about it:
-
Every run must produce at least one PASS, FAIL, or NOTE message in the
log.
-
In the case of failure, never just report failure and assume the user
will go add debugging code to the source to figure out exactly what failure
occurred. Ideally, provide enough information so that a driver
developer could start debugging his code without having to look at
the glean source first.
-
Each test is producing two kinds of result: The result that goes into
the results database, and the result that remains in memory, accessible
through the test object. Eventually there will be tests that refer
back to the results of previous tests! (This is the reason for the
hasRun mechanism in the Test class; one test may be
forced to run another as a prerequisite, but we never need to run a
test twice.)
-
Try to keep most test runs short. Eventually there will be a lot of
tests, and some machines will have a lot of drawing surface
configurations, and runtime will add up.
-
Whenever possible, avoid tests that just generate images for the
user to check, rather than determining for themselves whether they
pass or fail. Even experts find it hard to tell which of two
complicated images is correct, and when some subtle part of the
OpenGL driver changes (like the precision with which colors are
computed) the user might be faced with comparing hundreds or
thousands of images for all existing tests.
-
Prefer statistical summaries of error to simple pass/fail results.
They provide a lot more useful information, and in some cases they
make writing test comparisons much easier and more effective.
The second major method is compare(). Some things to keep in mind:
-
When two test results are the same (whatever that means for the
particular test in question), don't report that they are the same
unless the user has requested verbose output. Ideally, if two
test runs are identical, glean should report nothing.
-
Subject to the constraint in the previous item, every comparison
must yield at least one SAME or DIFF message in the log.
-
As with run(), statistical summaries are preferable to simple
pass/fail assessments.
It's important to make sure that all OpenGL state variables are set
in the way you expect; otherwise a drawing operation can have surprising
results. This OpenGL Rendering and State
Cheat-Sheet can help you determine what state variables you need
to set (and might suggest a few things that need testing, too).
New tests
Here are some suggestions for categories of tests that could be added to
glean.
(These are not listed in any particular order; any of them would be
worthwhile.)
In addition, please see the JOBS file in the top level of
the glean source tree for an informal list of specific
requests.
-
Quake3 Arena.
We could use a set of tests that check everything John Carmack mentioned
in
http://www.quake3arena.com/news/glopt.html.
-
Default state check.
The OpenGL spec defines initial values for all state variables, and
many programs (including glean!) depend on those initial
values being correct. It would be great to have a test that actually
verified them.
-
Enumerant coverage check.
It would be good to verify that each OpenGL command actually accepts
all the argument values that it's supposed to accept, without generating
an error. Conversely, it would be nice to know that errors are
generated appropriately when illegal arguments are used.
-
Regression tests.
(This is especially relevant to everyone working on Mesa.)
Regression tests simply check that a previously-discovered bug or
performance problem doesn't reappear after later changes to an OpenGL
driver. Regression tests are really valuable, because bugs tend to
appear in the parts of the driver that are the most difficult to
implement correctly. Therefore, writing tests in response to each bug
report tends to cluster tests in precisely the area where they're most
needed. As a general principle, whenever you report a bug or fix a bug,
you could write a glean test to make sure that bug will never
reappear.
-
Stress tests.
Stress tests assess the robustness of an OpenGL implementation. Some
possibilities are: create and download many texture objects, then
switch rapidly from one to another; perform many buffer swaps in
rapid succession; execute ten thousand glClear() operations and see
whether the hardware FIFO times out; and create a large number of windows
and rendering contexts and randomly bind arbitrary pairs of them.
-
Limits tests.
Every OpenGL implementation has limits (sometimes enforced by the graphics
hardware) and these often determine how applications must be written.
For example, it would be good to know the maximum acceptable texture
size for a variety of texture formats; the largest image that can
be passed to glDrawPixels(); the maximum number of vertices that can
be placed in a triangle strip or vertex array; and the maximum number of
windows or rendering contexts that can be created.
-
Window-system binding tests.
Most tests concentrate on OpenGL itself, but an area that must not be
overlooked is the window system binding (GLX or WGL). It would be useful
to test the window system binding's extension string and all the basic
operations like context creation, copy, and deletion. Sharing texture
objects and display lists is important to test.
-
Core OpenGL correctness tests.
Most OpenGL implementations have been checked with the OpenGL
conformance tests. However, the conformance tests are lax in some
areas due to historical reasons. One way to address this would be
to add some correctness tests to glean. Check the contents
page of the OpenGL spec; each heading is a good suggestion for a
test.


SkopeRules¶
The documentation of the SkopeRules module.
-
class
skrules.skope_rules.
SkopeRules
(feature_names=None, precision_min=0.5, recall_min=0.01, n_estimators=10, similarity_thres=0.95, max_samples=0.8, max_samples_features=1.0, bootstrap=False, bootstrap_features=False, max_depth=3, max_features=1.0, min_samples_split=2, n_jobs=1, random_state=None, verbose=0)[source]¶ An easy-interpretable classifier optimizing simple logical rules.
Parameters: feature_names : list of str, optional
The names of each feature to be used for returning rules in string format.
precision_min : float, optional (default=0.5)
The minimal precision of a rule to be selected.
recall_min : float, optional (default=0.01)
The minimal recall of a rule to be selected.
n_estimators : int, optional (default=10)
The number of base estimators (rules) to use for prediction. More are built before selection. All are available in the estimators_ attribute.
similarity_thres : float, optional (default=0.99)
Similarity threshold between rules. Rules too similar (> similarity_thres) are fused. The similarity between two rules is computed according to the formula # {intersection} / # {union}.
max_samples : int or float, optional (default=.8)
The number of samples to draw from X to train each decision tree, from which rules are generated and selected.
- If int, then draw max_samples samples.
- If float, then draw max_samples * X.shape[0] samples.
If max_samples is larger than the number of samples provided, all samples will be used for all trees (no sampling).
max_samples_features : int or float, optional (default=1.0)
The number of features to draw from X to train each decision tree, from which rules are generated and selected.
- If int, then draw max_features features.
- If float, then draw max_features * X.shape[1] features.
bootstrap : boolean, optional (default=False)
Whether samples are drawn with replacement.
bootstrap_features : boolean, optional (default=False)
Whether features are drawn with replacement.
max_depth : integer or None, optional (default=3)
The maximum depth of the decision trees. If None, then nodes are expanded until all leaves are pure or until all leaves contain less than min_samples_split samples.
max_features : int, float, string or None, optional (default=”auto”)
The number of features considered (by each decision tree) when looking for the best split:
- If int, then consider max_features features at each split.
- If float, then max_features is a percentage and int(max_features * n_features) features are considered at each split.
- If “auto”, then max_features=sqrt(n_features).
- If “sqrt”, then max_features=sqrt(n_features) (same as “auto”).
- If “log2”, then max_features=log2(n_features).
- If None, then max_features=n_features.
Note: the search for a split does not stop until at least one valid partition of the node samples is found, even if it requires to effectively inspect more than
max_features
features.min_samples_split : int, float, optional (default=2)
The minimum number of samples required to split an internal node for each decision tree.
- If int, then consider min_samples_split as the minimum number.
- If float, then min_samples_split is a percentage and ceil(min_samples_split * n_samples) are the minimum number of samples for each split.
n_jobs : integer, optional (default=1)
The number of jobs to run in parallel for both fit and predict. If -1, then the number of jobs is set to the number of cores.
random_state : int, RandomState instance or None, optional
- If int, random_state is the seed used by the random number generator.
- If RandomState instance, random_state is the random number generator.
- If None, the random number generator is the RandomState instance used
by np.random.
verbose : int, optional (default=0)
Controls the verbosity of the tree building process.
Attributes
rules_ (dict of tuples (rule, precision, recall, nb).) The collection of n_estimators rules used in the predict
method. The rules are generated by fitted sub-estimators (decision trees). Each rule satisfies recall_min and precision_min conditions. The selection is done according to OOB precisions.estimators_ (list of DecisionTreeClassifier) The collection of fitted sub-estimators used to generate candidate rules. estimators_samples_ (list of arrays) The subset of drawn samples (i.e., the in-bag samples) for each base estimator. estimators_features_ (list of arrays) The subset of drawn features for each base estimator. max_samples_ (integer) The actual number of samples n_features_ (integer) The number of features when fit
is performed.classes_ (array, shape (n_classes,)) The classes labels. Methods
-
decision_function
(X)[source]¶ Average anomaly score of X of the base classifiers (rules).
The anomaly score of an input sample is computed as the weighted sum of the binary rules outputs, the weight being the respective precision of each rule.
Parameters: X : array-like, shape (n_samples, n_features)
The training input samples.
Returns: scores : array, shape (n_samples,)
The anomaly score of the input samples. The higher, the more abnormal. Positive scores represent outliers, null scores represent inliers.
-
fit
(X, y, sample_weight=None)[source]¶ Fit the model according to the given training data.
Parameters: X : array-like, shape (n_samples, n_features)
Training vector, where n_samples is the number of samples and n_features is the number of features.
y : array-like, shape (n_samples,)
Target vector relative to X. Has to follow the convention 0 for normal data, 1 for anomalies.
sample_weight : array-like, shape (n_samples,) optional
Array of weights that are assigned to individual samples, typically the amount in case of transactions data. Used to grow regression trees producing further rules to be tested. If not provided, then each sample is given unit weight.
Returns: self : object
Returns self.
-
predict
(X)[source]¶ Predict if a particular sample is an outlier or not.
Parameters: X : array-like, shape (n_samples, n_features)
The input samples. Internally, it will be converted to
dtype=np.float32
Returns: is_outlier : array, shape (n_samples,)
For each observations, tells whether or not (1 or 0) it should be considered as an outlier according to the selected rules.
-
predict_top_rules
(X, n_rules)[source]¶ Predict if a particular sample is an outlier or not, using the n_rules most performing rules.
Parameters: X : array-like, shape (n_samples, n_features)
The input samples. Internally, it will be converted to
dtype=np.float32
n_rules : int
The number of rules used for the prediction. If one of the n_rules most performing rules is activated, the prediction is equal to 1.
Returns: is_outlier : array, shape (n_samples,)
For each observations, tells whether or not (1 or 0) it should be considered as an outlier according to the selected rules.
-
rules_vote
(X)[source]¶ Score representing a vote of the base classifiers (rules).
The score of an input sample is computed as the sum of the binary rules outputs: a score of k means than k rules have voted positively.
Parameters: X : array-like, shape (n_samples, n_features)
The training input samples.
Returns: scores : array, shape (n_samples,)
The score of the input samples. The higher, the more abnormal. Positive scores represent outliers, null scores represent inliers.
-
score_top_rules
(X)[source]¶ Score representing an ordering between the base classifiers (rules).
The score is high when the instance is detected by a performing rule. If there are n rules, ordered by increasing OOB precision, a score of k means than the kth rule has voted positively, but not the (k-1) first rules.
Parameters: X : array-like, shape (n_samples, n_features)
The training input samples.
Returns: scores : array, shape (n_samples,)
The score of the input samples. Positive scores represent outliers, null scores represent inliers.


Skyfall plaza is a private hospital which strives to promote the health of the population by providing accessible, affordable and appropriate quality clinical services to our patients.
We offer in and out-patient services to individuals and corporates. Insurance companies in our panel include JUBILEE, CIC, AON, APA, AAR, UAP, BRITAM, MADISON, RESOLUTION and REAL INSURANCE. We also offer services to walk-in cash paying clients.
We are also an accredited provider for the NHIF civil servants scheme.
We also provide value added services in a friendly and comfortable environment.
To be the leading healthcare institution in the region providing world-class treatment and service.
To offer patients the best care, using advanced technology in an atmosphere of trust, safety and comfort.
Our core values include:


Shereef's Fireside Chat
Thoughts on the EDA experience
My take: Coming from an education background a lot of the philosophy of the programme seems very familiar. The approach is very future-focused and aims to prepare students as life-long learners. The aim seems to be for each person to develop learning habits that are best suited to them personally. Other contemporary approaches to learning that Shereef mentions are an emphasis on student-centric and collaborative learning, the idea of fast failure and the ability to communicate clearly and confidently. Also time-management using the pomodoro technique.
My impressions: I like some of the analogies he uses. He compares learning to code with learning to play the guitar. First, learning finger positions, strumming techniques, chord structures and melodies, with the end goal being able to compose a song. I really like the analogy of architecture and pointing out that the aspiration is not to become a bricklayer (eg: knowing javascript really well), but to understand the essence of architecture and to develop an engineering sense, knowledge of principals.
How I see myself engaging with this type of culture?: I have made sure I can give the course my full attention, which I think is needed. One thing I think I need to work on is to identify the balance between trying to work things out for myself and asking for help.
Have my expectations changed?: No I don't think so. I have a friend doing the bootcamp at the moment, so I have had a bit of insight into what to expect.
Am I excited? Nervous?: Yes, and yes! Excited, because I love learning new things, and am keen on making a career change in this direction. Nervous, because I don't have any real background in IT and there is so much to learn.


Below you will find a chart of all of the stars that were recently created in the Duderstadt Center gallery installation at the University of Michigan. Visit the project webpage for more information.


|
| |||
| Managed Object Types | Data Object Types | All Properties | All Methods |
generateConfigTaskList
operation.
Enum Constants
| Name | Description |
|---|---|
| maintenanceModeRequired |
The ESXi host must be in maintenance mode before the task list can be
applied.
|
| rebootRequired |
The ESXi host must be rebooted after the task list is applied in order
for the new settings in the HostConfigSpec to take
effect on the host.
|
| Top of page | |||
| Managed Object Types | Data Object Types | All Properties | All Methods |


{% extends "base.html" %} {% from "custom_macros.html" import render_flash_alert %} {% block head %} <% _.forEach(htmlWebpackPlugin.files.js, function(file) { %> <%}); %> {% endblock %} {% block body %}
{{ _('One very important aspect of this project is that it is open source. In short, it means that everybody can access the whole code behind the tool and re-use it. But it also means that you can request changes so that the tool can be further improved. Currently, ADE Scheduler is kindly supported by some academical members at UCLouvain so that we do not have to pay for server hosting fees and we are thankful for that!') }}
{{ _('Even though this tool is functional, it is not perfect. New features, typos in text, missing translations or bugs? There are many things that you can help us improve. Down below, we propose multiple ways for you to help us. Nonetheless, any other ideas are welcome!') }}
{{ _('For everything listed below, the best way to contact us is to do it via our email address. This can be found in the contact page. When reaching us, do not hesitate to include screenshots or even your calendar share link so that we can easily reproduce your problem (if applies) locally.') }}
{{ _('The events are not matching the code you entered? Classrooms are missing or wrongly located on the map? A feature is not working the way you expected? Maybe, you problem is due to a mistake in our code or in the encoding done by people maintening ADE\'s data. Whatever the source of you problem, please contact us and we will do all we can to fix it.') }}
{{ _('Writing thousands of lines in both English and French can be error prone, and it becomes hard to spot all the mistakes! If you happen to spot one or several typos, please contact us so that we can correct them. This also applies if you think that a formulation is not correct or could be improved.') }}
{{ _('ADE Scheduler is continuously evolving, with the goal to meet the requirements of UCLouvain\'s members in terms of scheduling tools. Therefore, any new feature request is welcome! Please reach us by describing the feature you want us to implement, additionally providing images if you have a clear idea in mind.') }}
{{ _('Our code is publicly available on GitHub and we highly recommend programmers to use the git tool when working on projects. If your are new to this tool, never hesitate to ask us questions! Everything that was said for non-programmers also applies for programmers. Instead of using emails, use GitHub issues when you want to report a problem or ask for new feature, and pull requests when you want us to review your code and later include it in the tool. If you want to contribute but you do not have a specific idea in mind, it is good pratice to read the issues other people have written to see if you can help. Even if you do not plan to contribute to the code, we highly recommend people who know git or GitHub to reach us via our GitHub repository as it allows us to centralize questions and keep a record of them. Last but not least, we have written a complete documentation available here to help you understand our code and contribute.') }}
{{ _('To our knowledge, there are 2 courses at the EPL faculty which grant credits for contributing to an open source project. You can thus contribute to ADE Scheduler while also validating some ECTS for you studies! The first one, LINGI2401 \"Open Source strategy for software development\", is given during the first semester and asks for a very small contribution. We highly recommend this course as a good introduction to open source and it is worth 5 ECTS. The second one, LINGI2402 \"Open Source Project\", can be taken during either the first or the second semester and asks for a contribution worth 140h of work. This course can be accounted as an internship and it is worth 5 ECTS. In the case you cannot, or do not want to, follow these courses, contributing to an open source project is definitely an added value to your CV. Even if it is a vey small contribution, such as typo correction, we will learn a lot from that! ') }}


- Source:
Members
(static) DEFAULTS
This object defines the default settings for jQuery.fn.slideToPanel() and
similar plug-in functions.
The table also lists all possible properties for the
options
argument
of said functions.
Properties:
| Name | Type | Attributes | Description |
|---|---|---|---|
panelClass |
string | ="slidingpanel" Name of a CSS class for all sliding panels. Each HTML node (typically a div) which these plug-in functions should regard as a sliding panel must be equipped with this class. If the jQuery.fn.childPanel function is used to dynamically create new sub panels, these will automatically be equipped with a class attribute conaining this class. | |
contentClass |
string | ="content" Name of a CSS class for the content block of a sliding panel: Each panel should have exactly one child node of this class determining the actual panel content, and up to one element of the "panelClass" which is its child panel. | |
complete |
function |
<optional> |
Optional call-back function, defaults to undefined. If such a call-back is defined, then it will executed every time after a panel has been slid into view, and only after the sliding animation has completed. The actual panel that has just been shown is bound to the implicit parameter 'this'. |
onSlideIn |
function |
<optional> |
Optional call-back function which gets triggered every time a sliding panel gets shown. In difference to the 'complete' function, this call-back gets triggered when the slid-in animation starts (while 'complete' gets triggered after the animation completed). The actual panel that has just been shown is bound to the implicit parameter 'this'. |
onSlideOut |
function |
<optional> |
Optional call-back function which gets triggered every time a sliding panel gets hidden (slid out of view). The actual panel that has just been shown is bound to the implicit parameter 'this'. |
- Source:


Places
Much of NSW already had names in the local Indigenous languages, so the names that are used in the gazette tell us about the power dynamics of the day. Who or what is the place being named or renamed for or from, and who is it being named by? Is it an Anglicisation of an existing Indigenous name? Is it named for someone in a position of power, either in NSW or in the UK? Does it relate to an earlier event? For example, some aspects of the brutal and racist history of the Colony are written in the names of places such as "Poison Swamp Creek". New places appear, some change name ('Walcha' to 'Brewarrina', 'Kingston' to 'Stanmore'), and some disappear.
Viewing population growth
The places mentioned in the gazette can also be used to (crudely) show the spread and distribution of the population in NSW over that period. As crimes are generally against either people and/or property, crimes tend to occur where people live, so as more towns are established, it's only a matter of time before a crime is committed there (or nearby).
The graph below shows the number and location of towns mentioned in the gazette each year. By moving the slider you can see more and more towns mentioned as the population grows and settles in new areas.
The rate at which locations are mentioned in the gazette, both the named locations such as a specific town, street, hotel, or park, as well as the more generic ones such as 'the bush' or 'a stable', also tell us about the changes that were taking place. For example, the rise and fall of the gold rush towns that sprung up around the goldfields can be seen in the shape of their mentions such as Hill End below, which is typical of the pattern:
Number of Towns Mentioned
Ignoring 1860, (given the data doesn't cover a full year), the number of towns mentioned in 1861 (515) has almost doubled by 1881 (1,025), and this is roughly a similar increase to what was seen in the Colony's population (around 355,000 in 1861 to 760,000 in 1881). After that, the population continues to increase - up to 1.35 million by 1900 - but the period of rapid growth of new towns appears to be over, and the number of places mentioned stays fairly constant.
1860s
1870s
1880s
1890s
The year: 1860
- different towns/locations mentioned
Like many gold rush towns, Araluen's mentions peaked and then fell, after the gold in the area was exhausted. In 1865 the gold escort from Araluen, was held-up by the bushranger Ben Hall.
No longer exists as a Sydney suburb (part of present day Surry Hills) and for a lot of its existence it was largely slums. First crime recorded there was the theft of some dark grey doeskin trousers in August 1860 (value 30 shillings). Future state premier Jack Lang was born there in 1876.
Thought to be derived from the word for 'meeting place' in the local Ngunnawal language, it didn't become Australia's capital until 1911. The name predates that, but it's only mentioned a mere 17 times, the first for the theft of a saddle (later recovered) in 1865.
Town in the Hunter Valley (now called 'Jerrys Plains'), in an area known today for stud farms, and perhaps that has always been the case, as while the theft of horses generally decreased over time, they continued to be stolen in and around Jerry's Plains, the last mention being in late 1899.
A number of earlier mentions relate to the steamship 'Katoomba', rather than town, and the first theft is of a silver watch from a hut in the area in 1881. The first hotel was built in 1882 (now 'The Carrington') and the town became increasingly popular over the following years. Another grand hotel, 'The Belgravia' (now 'The Hydro Majestic'), was built in 1891 in nearby Medlow Bath (then just called Medlow).
Became increasingly popular after opals were found there in the mid to late 1880s (it's Australia's oldest commercial opal field). First mention in the gazette is for arson in 1894 (and the first recorded theft of opals from there was later that year...)
NSW place-names and locations largely via geonames.org
View town/location:
1860s
1870s
1880s
1890s
-
Parramatta Road
-
Hill End
-
Walgett
-
Petty's Hotel
The Locations
Select a category to see how they changed over the period (based on the number of times they're mentioned in the gazette by year). Graphs are scaled relative to the first term, which has the highest average rate over the period.
- Peak year
The were
-
public-house
-
hospitals
-
the lunatic asylum
-
Moore Park
-
railway station


WeWork lays off 2,400 employees globally to cut cost, stabilise business
The laid off employees will receive severance, continued benefits, and other forms of assistance to aid in their career transition.
by ReutersWeWork said on Thursday it is laying off around 2,400 employees globally, as the office-sharing company seeks to drastically cut costs and stabilize its business after it transformed from being a Wall Street darling into a pariah in a matter of weeks.
"As part of our renewed focus on the core WeWork business, and as we have previously shared with employees, the company is making necessary layoffs to create a more efficient organization," a company spokeswoman said in a statement.
"This workforce reduction affects approximately 2,400 employees globally, who will receive severance, continued benefits, and other forms of assistance to aid in their career transition," the New York-based company added.


public class Checkout extends java.lang.Object implements java.io.Serializable, java.lang.Comparable<Checkout>
| Modifier and Type | Field and Description |
|---|---|
protected Cola<Customer> |
clients
Each checkout has a row of customers waiting for be attended
|
private int |
customersOfDay
Counter for the customers attended
|
private int |
forBeingServed
the rest of clients that the checkout needs to attend
|
private boolean |
isQuick
Serves to know if the num of items is lower than 20
|
private double |
salesOfDay
Accumulate the sales of the simulation day
|
| Constructor and Description |
|---|
Checkout(boolean isQuickly)
The main constructor allows to build a new checkout with the only condition to know if it is from the quick type
|
| Modifier and Type | Method and Description |
|---|---|
int |
compareTo(Checkout o) |
double |
computeTotalSale()
This method calculates the total amount by selling on a day
|
int |
getItemsClients()
Allow us to know the number of items that each checkout had process
|
java.lang.String |
toString() |
void |
trainingCustomer(Customer customer)
Takes a decision about the checkout type and how is going to be taken for the client
|
private double salesOfDay
private int customersOfDay
protected Cola<Customer> clients
private int forBeingServed
private boolean isQuick
public Checkout(boolean isQuickly)
isQuickly
- if the number of items is going to be a restrictionpublic int getItemsClients()
public void trainingCustomer(Customer customer)
customer
- a client that needs to be lined uppublic double computeTotalSale()
public int compareTo(Checkout o)
compareTo
in interface java.lang.Comparable<Checkout>
public java.lang.String toString()
toString
in class java.lang.Object


Children's Park
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Questions?:<PHONE_NUMBER>
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Component: tos.chips.atm128.Atm128UartP
generic module Atm128UartP()
- Author:
-
Alec Woo<EMAIL_ADDRESS>-
Jonathan Hui<EMAIL_ADDRESS>-
Philip Levis<EMAIL_ADDRESS>(maintainer)
- Version:
-
$Revision: 1.7 $ $Date: 2008/06/23 20:25:15 $
Modification @ 11/27 (pal): Folded in Alec's reimplementation
from the -devel branch. Fixed bug in RX interrupts, where
they were not enabled on start. Possibly due to alternative
ARC TEP113 implementation that uses UartStream?
Provides
Uses
interface
Counter<TMicro, uint32_t>