I love Komodo (KMDBTC) as a cryptocurrency project as well as a crypto-trading pair.
The first being because it is a solid project and the second because it always generates great profits for us. I am mostly called to this chart at the right time...
Let's take a look at Kom...


public class Bed
extends java.lang.Object
| Modifier and Type | Class and Description |
|---|---|
static class |
Bed.Urgency |
static class |
Bed.Zone |
| Constructor and Description |
|---|
Bed(java.lang.String name,
Bed.Zone zone,
Bed.Urgency urgency)
Creates a bed object, using three input values:
1) name of the bed 2) zone of the bed 3) urgency level of the bed |
| Modifier and Type | Method and Description |
|---|---|
Patient |
getAssignedPatient()
Gets the patient that is assigned to the bed.
|
java.lang.String |
getName()
Gets the name of the bed object.
|
Bed.Urgency |
getUrgencyLevel()
Gets the urgency level of the bed object.
|
Bed.Zone |
getZone()
Gets the zone of the bed object.
|
void |
releasePatient(Patient assignedPatient)
Removes the patient from the bed.
|
void |
setAssignedPatient(Patient assignedPatient)
Assigns a patient to the bed if the following conditions are met:
The patient's zone is the same as the bed's zone The patient's urgency level is the same as the bed's urgency level The bed is currently empty The patient is currently WAITING_FOR_BED |
void |
setName(java.lang.String name)
Sets the name of the bed object.
|
void |
setUrgencyLevel(Bed.Urgency urgencyLevel)
Sets the urgency level of the bed object.
|
void |
setZone(Bed.Zone zone)
Sets the zone of the bed object.
|
java.lang.String |
toString()
Displays the information of a bed object
|
public Bed(java.lang.String name, Bed.Zone zone, Bed.Urgency urgency)
These input values are set to the data members of the object.
name
- the name of the bedzone
- the zone of the bed (TRAUMA/NO_INJURY)urgencyLevel
- the urgency level of the bed (URGENT/NOT_URGENT)public java.lang.String getName()
public void setName(java.lang.String name)
name
- name of the bedpublic Bed.Zone getZone()
public void setZone(Bed.Zone zone)
zone
- zone of the bedpublic Bed.Urgency getUrgencyLevel()
public void setUrgencyLevel(Bed.Urgency urgencyLevel)
urgencyLevel
- urgency level of the bedpublic Patient getAssignedPatient()
public void setAssignedPatient(Patient assignedPatient)
Furthermore, when a patient is in a chair at the moment of assigning him/her to the bed, the patient will be released from the chair and then assigned to the bed.
assignedPatient
- the patient to be assigned to the bedpublic void releasePatient(Patient assignedPatient)
assignedPatient
- the patient to leave the bedpublic java.lang.String toString()
toString
in class java.lang.Object


The Hatchery
The Hatchery is the startup incubator of Outbak Ventures where we help entrepreneurs set up their dream company in Queensland and across Australia. We started the hatchery with the singular vision to turn dreams and ideas into innovative businesses and help aspiring entrepreneurs to create sustainable businesses with an ecosystem that facilitates future growth.
At Outbak Ventures, we provide all the necessary infrastructure and expertise to foster a startup from its initial conceptual stages to setting up the company and monitor its progress till it becomes self-sustaining, intervening if necessary.
CB Insights identified 20 significant reasons why startups fail by carrying out the postmortem analysis of 101 startups that had to shut down soon after its establishment. With the assistance of Outbak Ventures and its roster of experts and specialists and access to the resources of all our associates, companies have a better chance of surviving and mitigating all the risks identified.
Before you set into any business, it is always advisable to get a risk assessment. At Outbak Ventures we help you analyze potential outcomes of businesses in terms of what can go wrong, the likelihood of it happening, the consequences and how tolerable the risk identified is. We have a dedicated team of analysts and industry experts who will do this for you without you having to do it yourself. We can tell you how successful your business is going to be before you even invest your time and energy into the project.
Having the right idea, product or services is not enough to succeed. What is also required is sufficient prudence to ensure financial stability as well as the backing of keen investors. We help companies raise their capital and connect with potential investors as well as assist in the negotiation process. We also help companies manage their assets in a more efficient way and manage their cash flow more wisely. With the help of Outbak Ventures, you will be less likely to fail due to financial burden or shortage of funds.
Even with a brilliant product and sufficient funding, it still does not guarantee success. A solid business plan with a sound strategy to deal with potential competitors and a well thought out business model to identify potential sources for income generation is absolutely necessary to ensure that the company remains sustainable. It also helps identify potential weaknesses and pitfalls including mistiming, pricing and other issues. Outbak Ventures, we will help you develop your strategy, create business plan and model as well as help execute it.
Every successful business has had a brilliant plan, a strong value proposition and dedicated people working behind bringing the product to the masses. With our dedicated team of market analysts and strategists as well as designers, artists and developers will help create a custom and personalised marketing strategies for your product or service.
Having the right people for your team is as important as having the right attitude and energy to ensure that your company is devoid of cracks that form along the internal walls of your organisation. We at Outbak Ventures understand that a team can make or break a team. We will help you identify and recruit the right members for your team as well as in identifying critical areas or skillset that your team might require.
 With years of experience at their respective fields which include legal, financial, real estate and engineering and spread across the world, our partners grants us a special position to deal with any kind of situation.
Have the next big idea?
Contact us today and let us figure out everything else and let us help you turn your dream into a reality.


Onerepublic
Albums
Concerts
About
Navbar Link
menu
Thank you for purchasing a ticket!
More information regarding your purchase will be sent to your email in a few minutes
Back to home


Our Team
Mohammad Nada
Web Developer
I am Civil Engineer , looking to make a mark in Software field.
Omar Ramadan
Web Developer
>Future - Bioinfornation.
Former - Biomedical Scienteit.
Dedicated learner and Team Leader
Raneem Abdulazeez
Web Developer
Communications and Electronics Engineer, Robotics Coach , future full stack developer.
Jaleeleh Alqasrawi
Web Developer
Great team player, and a greater mother
Shokre Abozahra
Web Developer
Civil engineer, Passionate about software development,Highly motivated and hardworking.


Set some options for the chat.
- Source:
Members
(static) app_name
name of container application (e.g. owncloud or SOGo)
- Source:
(static) autoLang
auto language detection
- Source:
(static) busyTimeout
Timeout for the keepalive signal if the master is busy
- Source:
(static) defaultLang
Default language
- Source:
(static) favicon
Options for info in favicon
- Source:
(static) hideOffline
Set to true if you want to hide offline buddies.
- Source:
(static) loginForm
If all 3 properties are set and enable is true, the login form is used
- Source:
(static) logoutElement
jquery object from logout element
- Source:
(static) muteNotification
Mute notification sound?
- Source:
(static) notification
Should we use the HTML5 notification API?
- Source:
(static) numberOfMsg
How many messages should be logged?
- Source:
(static) onlineHelp
Link to an online user manual
- Source:
(static) otr
OTR options
- Source:
(static) popupDuration
duration for notification
- Source:
(static) priority
default xmpp priorities
- Source:
(static) root
Absolute path root of JSXC installation
- Source:
(static) rosterAppend
Place for roster
- Source:
(static) RTCPeerConfig
RTCPeerConfiguration used for audio/video calls.
- Source:
(static) timeout
Timeout for the keepalive signal
- Source:
(static) turnCredentialsPath
- Deprecated:
- since v2.1.0. Use now RTCPeerConfig.url.
- Source:
(static) xmpp
xmpp options
- Source:
Methods
(static) defaultAvatar(jid)
If no avatar is found, this function is called.
This:
- {jQuery}
Parameters:
| Name | Type | Description |
|---|---|---|
jid |
Jid of that user. |
- Source:
(static) displayRosterMinimized()
This function decides wether the roster will be displayed or not if no
connection is found.
- Source:
(static) formFound()
This function is called if a login form was found, but before any
modification is done to it.
- Source:
(static) get(key)
Getter method for options. Saved options will override default one.
Parameters:
| Name | Type | Description |
|---|---|---|
key |
string | option key |
- Source:
Returns:
default or saved option value
(static) getUsers(search, cb)
Returns a list of usernames and aliases
Parameters:
| Name | Type | Description |
|---|---|---|
search |
string | Search token (start with) |
cb |
getUsers-cb | Called with list of users |
- Source:
(static) loadSettings(username, password, cb)
Returns permanent saved settings and overwrite default jsxc.options.
Parameters:
| Name | Type | Description |
|---|---|---|
username |
string | username |
password |
string | password |
cb |
loadSettingsCallback | Callback that handles the result |
- Source:
(static) saveSettinsPermanent(data, cb)
Call this function to save user settings permanent.
Parameters:
| Name | Type | Description |
|---|---|---|
data |
Holds all data as key/value | |
cb |
Called with true on success, false otherwise |
- Source:
(static) set(key, value)
Setter method for options. Will write into localstorage.
Parameters:
| Name | Type | Description |
|---|---|---|
key |
string | option key |
value |
object | option value |
- Source:


Restoring the Default Skin
How to restore the default skin to a site. For more on setting the default skin, See "Setting the Default Site Skin and Container"
- Navigate to Admin > Advanced Settings > Skins and go to the Skin Editor module - OR - Go to a Skins module.
- Click the Restore Default Skin link located at the base of the module.
Restoring the Default Skin


I'm a developer who likes to make things. These are a few of my side projects.
MKE Tools sends notification emails about police calls and crimes in Milwaukee.
This site combines crime, police, and fire data from several public sources. It makes that data more accessible, providing tools for mapping and filtering. You can also sign up to receive notifications about police calls and crimes that occur in near you. And the data is all made available for other developers to use, complete with an Open API spec.
Check it out!Justice Story helps criminal defense attorneys and public defenders prepare mitigation reports.
Justice Story helps defense attorneys and public defenders easily gain useful background information about their clients. It walks clients through a series of biographical and screening questions, generating a mitigation report. This ultimately adds consistency and depth to attorneys' mitigation advocacy for better plea negotiation, sentencing arguments, and client understanding.
Check it out!Missing Padlock scans sites and identifies mixed content issues.
When transitioning sites from HTTP to HTTPS, mixed content issues often arise. This occurs when the HTTPS site contains explicit references to HTTP assets, causing the site not to function correctly. Missing Padlock indexes your site, finds mixed content issues, and shows you the results so you can fix them.
Check it out!Arbitrary Site Grader pretends to scan a site and assigns meaningless grades in several categories.
There are a lot of sites and tools that run automated tests against a website, identifying issues and, ultimately, assigning a letter grade. These tools can be very useful when used correctly; far too often, however, people tend to just look at the letter grade without understanding the underlying issues or taking into account the limits of automated testing. This site parodies those tools, pretending to scan a site and delivering a meaningless grade.
Check it out!Words cannot properly describe MagneTag, but I'll try anyways. It's a foam combat game -- like the beautiful offspring of laser tag and sword fighting.
Learn moreAt my day job, I work with a range of clients -- from Fortune 200 companies to startups -- helping them architect solutions to their business problems. But by night, assuming the kids go to sleep at a reasonable hour, I'm always working on some side projects like these. They help me learn new technologies, keep up on industry trends, and just have some fun coding!


{{sharedData.missions[sharedData.activeIndex].name}} |
| Launch Date: {{sharedData.missions[sharedData.activeIndex].date}} |
| Short note: {{sharedData.missions[sharedData.activeIndex].notes}} |
| Status: {{sharedData.missions[sharedData.activeIndex].status}} |
| {{sharedData.missions[sharedData.activeIndex].description}} |


SKILL SET
Metrics Definitions, Heuristic Analysis, Stakeholder & User Interviews, Comparative Analysis, Content Audits, Defining Design Principles, Task Flow Analysis, User Scenarios, Information Architecture, Site Maps, Personas, Style Tiles, Wireframes, Design Pattern Libraries, Prototypes, Usability Testing, HTML/CSS/JavaScript Prototyping, Version Control
PEOPLE I'VE WORKED WITH
Adobe, Monotype / Fonts.com, Broward Cultural Division, ArtsCalendar.com, 50 States Apparel, Broward College, Leadership Florida, Florida Press Association, Levatas, Renaissance International
{% if site.data.social %}
HOW YOU CAN REACH ME
{% endif %}


title = "Homepage"
url = "/"
layout = "default"
is_hidden = 0
meta_description = "October CMS resources and help articles database. All tutorials are written and
optimized by the October CMS community."
[trickDetail]
trick_of_the_day = 1
[trickList newTricks]
order = "created_at"
limit = 5
[trickList popularTricks]
order = "votes"
limit = 5
==


Manage your funding
Use this service to:
- sign contracts
- view your funding allocations
- view the funding you've received
- send and download files
- tell us about your subcontractors
Before you start
You need to have an account with the government’s Identity Management Services system to use this.


About Me
What's Up! My name is Sama Sandy. A little about myself; I love all things and anything creative. I first cut my teeth on the creative edges a year after college. I taught myself Adobe Photoshop, Illustrator and InDesign through online tutorials.
From there I transitioned into web design learning basic HTML & CSS. Outside of web design, I also taught myself video editing. I primarily use Final Cut Pro but I also use Adobe Primere Pro and After Effects. In addition to video I also dabble a bit in music production and audio editing.
 We are expecting our 2nd child in June and we are overjoyed when we found out it was a boy.
If you want to get to know me on more of a professional level, check out some of my professional social profiles. If you want to see some and handful of my professional work checkout my marketing boutique company at Yayah Creative.


Extends the common.model this is the Database model used to store information about Agents.
Bases: hive.common.model.Model
Controller for actions relating to agents thats not configuration.
Controller for storing Agent configuration actions.
Routes for AgentManager Actions.
Bases: hive.common.routes.Routes


{% extends "base.html" %} {% block body %}
Acid3 is a test of dynamic browser capabilities which exists to encourage browser vendors to focus on interoperability. It was originally written by Ian Hickson and published on acid3.acidtests.org


Introduction
How can I add my own component into the library?
Let's code
“The Elsevier brand guidelines will help you understand the systems and strategic rationale that underpins our brand. It will help you manage your assets, products and communications in a consistent, coherent and expressive way – to support our globally-recognizable brand.”Brand guidelines website
A good approach for avoiding such a situation is sharing a common UI-library that can be used as a reference. It will help to reduce duplications and it will speed up the development of new products and features.
“It is an open source tool for developing UI components in isolation. It makes building stunning UIs organized and efficient.”FCA Storybook
It is a practice of using small immutable and explicitly named utility classes to construct components.
Most CSS frameworks do too much.
“Tailwind is different.

If you're sick of fighting the framework, overriding unwanted styles, and battling specificity wars, Tailwind was made for you.
Tailwind is written in PostCSS and configured in JavaScript, which means you have the full power of a real programming language at your fingertips.
// tailwind.config.js
module.exports = {
theme: {
colors: {
primary: {
100: '#ebf8ff', // ==> bg-primary-100, text-primary-100
300: '#90cdf4',
...
},
secondary: {
100: '#fffff0', // ==> bg-secondary-100, text-secondary-100
300: '#faf089',
...
},
spacing: {
...
'10': '2.5rem',
...
},
},
}
}
FCA Tokens
.btn {
@apply font-bold py-2 px-4 rounded;
}
.btn-blue {
@apply bg-blue-500 text-white;
}
.btn-blue:hover {
@apply bg-blue-600;
}
Tailwind utilities with @apply and theme() are converted into pure css
USE NPM LINK
“The npm documentation defines npm link as a 'means to symlink a package folder'. Put simply, it's a means to connect your parent application to a module you have locally on your machine. When you run the application, any changes you make to the dependency will be reflected in the application.”Npm link documentation
Share npm module from Artifactory
“Artifactory is where our npm modules lives.
Instead of using the public npm module registry, artifacory is accessible only from Elsevier developers.”
When a PR is merged to master with an updated version, the jenkins pipeline will build and publish a new version to the Artifactory.
Elsevier artifactoryHere jenkins deploying a new version with the universe
what can ever go wrong?
¯\_(ツ)_/¯


Oftentimes in the course of creating a program you will want to do more than merely re-use a single code function. Instead, you will want to extend the concept of code reusability to include pre-defined properties and functions which interact with each other in an appropriately scoped manner. This is more or less the essence of object-oriented programming. This leads to a commonly asked question: how do I create classes in Ruby?
When you design a class, think about the objects that will be created from that class type. Think about the things the object knows and the things the object does.
Things an object knows about itself are called instance variables. They represent an object's state (the data - for example, the quantity and the product id), and can have unique values for each object of that type.
Things an object can do are called methods.
Let's dive in and create a class of a car:
Class Cardef initialize(brand, model, year)
# Instance variables
@brand = brand
@model = model
@year = year
end
def drive
puts "I'm driving a #{@brand}!"
end
def honk
puts "Honk!"
end
end
Now let's make an instance of the class:
my_prius = Car.new('Toyota', 'Prius', 2013)Now let's call the class's methods:
my_prius.drivemy_prius.honk
And that's how you make a class and call it! Hope you learned something.


{% extends 'Home/index.html' %} {% block content %}
A website created using the Django Web Framework, to allow users to play with machine learning models, and more specifically Neural Networks, mostly trained using the tf.keras API.
Google's tensorflow was used mainly for training a lot of the models hosted on this website, more specifically, tf.keras API was used to train the neural networks.
Python's sklearn library was used for training popular machine algorithms such as Support Vector Machines and Random Forests. A lot of preprocessing was done using the same.
Django Web Framework provided an organized and dynamic way to build this website, on top of python.


My Top 10 Postgres Features and Tips for 2016
I find during the holiday season many pick up new books, learn a new language, or brush up on some other skill in general. Here’s my contribution to hopefully giving you a few new things to learn about Postgres and ideally utilize in the new year. It’s not in a top 10 list as much as 10 tips and tricks you should be aware of as when you need them they become incredibly handy. But, first a shameless plug if you find any of the following helpful, consider subscribing to Postgres weekly a weekly newsletter with interesting Postgres content.
1.  Think of a CTE or commonly known as with clause as a view inside the time that query is running. This lets you more easily create readable query. Any query that’s constructed that’s even 100 lines long, but with 4-5 CTEs is undoubtedly going to be easier for someone new to come in and understand than a 20 line query that does the same thing. A few people like writing SQL, but no one likes reading someone else’s so do them a favor and read up on CTEs.
2. Setup a .psqlrc
You setup a bashrc, vimrc, etc. Why not do the same for Postgres. Some of the great things you can do:
- Setup pretty formatting by default with
\x auto
- Set nulls to actually look like something
\pset null ¤
- Turn timing on by default
\timing on
- Customize your prompt
\set PROMPT1 '%[%033[33;1m%]%x%[%033[0m%]%[%033[1m%]%/%[%033[0m%]%R%# '
- Save commonly run queries that you can run by name
Here’s an example of my own psqlrc
:
\set QUIET 1
\pset null '¤'
-- Customize prompts
\set PROMPT1 '%[%033[1m%][%/] # '
\set PROMPT2 '... # '
-- Show how long each query takes to execute
\timing
-- Use best available output format
\x auto
\set VERBOSITY verbose
\set HISTFILE ~/.psql_history- :DBNAME
\set HISTCONTROL ignoredups
\set COMP_KEYWORD_CASE upper
\unset QUIET
3. pg_stat_statements for where to index
pg_stat_statements
is probably the single most valuable tool for improving performance on your database. Once enabled (with create extension pg_stat_statements
) it automatically records all queries run against your database and records often and how long they took. This allows you to then go and find areas you can optimize to get overall time back with one simple query:
SELECT
(total_time / 1000 / 60) as total_minutes,
(total_time/calls) as average_time,
query
FROM pg_stat_statements
ORDER BY 1 DESC
LIMIT 100;
Yes, there is some performance cost to leaving this always on, but it’s pretty small. I’ve found it’s far more useful to be on and get major performance wins vs. the small cost of it always recording.
You can read much more on Postgres performance on a previous post
4. Slow down with ETL, use FDWs
If you have a lot of microservices or different apps then you likely have a lot of different databases backing them. The default for about anything you want to do is do create some data warehouse and ETL it all together. This often goes a bit too far to the extreme of aggregating everything together.
For the times you just need to pull something together once or on rare occasion foreign data wrappers will let you query from one Postgres database to another, or potentially from Postgres to anything else such as Mongo or Redis.
5. array and array_agg
There’s little chance if you’re building an app you’re not using arrays somewhere within it. There’s no reason you shouldn’t be doing the same within your database as well. Arrays can be just another datatype within Postgres and have some great use cases like tags for blog posts directly in a single column.
But, even if you’re not using arrays as a datatype there’s often a time when you want to rollup something like an array in a query then comma separate it. Something similar to the following could allow you to easily roll up a comma separated list of projects per user:
SELECT
users.email,
array_to_string(array_agg(projects.name), ',')) as projects
FROM
projects,
tasks,
users
WHERE projects.id = tasks.project_id
AND tasks.due_at > tasks.completed_at
AND tasks.due_at > now()
AND users.id = projects.user_id
GROUP BY
users.email
6. Use materialized views cautiously
If you’re not familiar with materialized view they’re a query that has been actually created as a table. So it’s a materialized or basically snapshotted version of some query or “view”. In their initial version materialized versions, which were long requested in Postgres, were entirely unusuable because when you it was a locking transaction which could hold up other reads and acticities avainst that view.
They’ve since gotten much better, but there’s no tooling for refreshing them out of the box. This means you have to setup some scheduler job or cron job to regularly refresh your materialized views. If you’re building some reporting or BI app you may undoubtedly need them, but their usability could still be advanced so that Postgres knew how to more automatically refresh them.
If you’re on Postgres 9.3, the above caveats about preventing reads still does exist
7. Window functions
Window functions are perhaps still one of the more complex things of SQL to understand. In short they let you order the results of a query, then compute something from one row to the next, something generally hard to do without procedural SQL. You can do some very basic things with them such as rank where each result appears ordered by some value, or something more complex like compute MoM growth directly in SQL.
8. A simpler method for pivot tables
Table_func is often referenced as the way to compute a pivot table in Postgres. Sadly though it’s pretty difficult to use, and the more basic method would be to just do it with raw SQL. This will get much better with Postgres 9.5, but until then something where you sum up each condition where it’s true or false and then totals is much simpler to reason about:
select date,
sum(case when type = 'OSX' then val end) as osx,
sum(case when type = 'Windows' then val end) as windows,
sum(case when type = 'Linux' then val end) as linux
from daily_visits_per_os
group by date
order by date
limit 4;
Example query courtesy of Dimitri Fontaine and his blog.
9. PostGIS
Sadly on this one I’m far from an expert. PostGIS is arguably the best option of any GIS database options. The fact that you get all of the standard Postgres benefits with it makes it even more powerful–a great example of this is GiST indexes which came to Postgres in recent years and offers great performance gains for PostGIS.
If you’re doing something with geospatial data and need something more than the easy to use earth_distance
extension then crack open PostGIS.
10. JSONB
I almost debated leaving this one off the list, ever since Postgres 9.2 JSON has been at least one of the marquees in each Postgres release. JSON arrived with much hype, and JSONB fulfilled on the initial hype of Postgres starting to truly compete as a document database. JSONB only continues to become more powerful with better libraries for taking advantage of it, and it’s functions improving with each release.
If you’re doing anything with JSON or playing with another document database and ignoring JSONB you’re missing out, of course don’t forget the GIN and GiST indexes to really get the benefits of it.
The year ahead
Postgres 9.5/9.6 should continue to improve and bring many new features in the years ahead, what’s your preference for something that doesn’t exist yet but you do want to see land in Postgres. Let me know @craigkerstiens


Create new assignment
Requester:
---- Select ----
Requester ..
Name:
Map:
assignments
1
Name ..
Requester ..


{{> ../layouts/head-side-by-side.html }} Web Component Popup Trigger a Popup My Popup Content 4.x Popup


--- layout: post title: '\"Survivor\" mobile trading cards' date: 2006-10-07 00:00:00 categories: digital-media mobile play ---
"Survivor" mobile trading cards: "Fans can receive, trade and collect the mobile cards by texting the word "Tribe" to a short code. A total of 61 cards are randomly distributed in sets of three, which fans can then trade with others. Certain combinations of cards can then be redeemed for cash and prizes."
Why not? Cut out production and some distribution costs of physical cards, make it easier to provide new ones, link in to a communications network for swapping, etc. Seems to make perfect sense to me.


- onAtrAvailable(BluetoothReader, byte[], int) - Method in interface com.acs.bluetooth.BluetoothReader.OnAtrAvailableListener
-
Called when the ATR string is available.
- onAuthenticationComplete(BluetoothReader, int) - Method in interface com.acs.bluetooth.BluetoothReader.OnAuthenticationCompleteListener
-
Called when the authentication is completed.
- onBatteryLevelAvailable(BluetoothReader, int, int) - Method in interface com.acs.bluetooth.Acr1255uj1Reader.OnBatteryLevelAvailableListener
-
Called when the battery level is available.
- onBatteryLevelChange(BluetoothReader, int) - Method in interface com.acs.bluetooth.Acr1255uj1Reader.OnBatteryLevelChangeListener
-
Called when the battery level is changed.
- onBatteryStatusAvailable(BluetoothReader, int, int) - Method in interface com.acs.bluetooth.Acr3901us1Reader.OnBatteryStatusAvailableListener
-
Called when the battery status is available.
- onBatteryStatusChange(BluetoothReader, int) - Method in interface com.acs.bluetooth.Acr3901us1Reader.OnBatteryStatusChangeListener
-
Called when the battery status is changed.
- onCardPowerOffComplete(BluetoothReader, int) - Method in interface com.acs.bluetooth.BluetoothReader.OnCardPowerOffCompleteListener
-
Called when the reader powers off the card.
- onCardStatusAvailable(BluetoothReader, int, int) - Method in interface com.acs.bluetooth.BluetoothReader.OnCardStatusAvailableListener
-
Called when the card status is available.
- onCardStatusChange(BluetoothReader, int) - Method in interface com.acs.bluetooth.BluetoothReader.OnCardStatusChangeListener
-
Called when the card status is changed.
- onCharacteristicChanged(BluetoothGatt, BluetoothGattCharacteristic) - Method in class com.acs.bluetooth.BluetoothReaderGattCallback
-
- onCharacteristicRead(BluetoothGatt, BluetoothGattCharacteristic, int) - Method in class com.acs.bluetooth.BluetoothReaderGattCallback
-
- onCharacteristicWrite(BluetoothGatt, BluetoothGattCharacteristic, int) - Method in class com.acs.bluetooth.BluetoothReaderGattCallback
-
- onConnectionStateChange(BluetoothGatt, int, int) - Method in class com.acs.bluetooth.BluetoothReaderGattCallback
-
- onConnectionStateChange(BluetoothGatt, int, int) - Method in interface com.acs.bluetooth.BluetoothReaderGattCallback.OnConnectionStateChangeListener
-
Called when the connection state is changed.
- onDescriptorWrite(BluetoothGatt, BluetoothGattDescriptor, int) - Method in class com.acs.bluetooth.BluetoothReaderGattCallback
-
- onDeviceInfoAvailable(BluetoothReader, int, Object, int) - Method in interface com.acs.bluetooth.BluetoothReader.OnDeviceInfoAvailableListener
-
Called when the device information is available.
- onEnableNotificationComplete(BluetoothReader, int) - Method in interface com.acs.bluetooth.BluetoothReader.OnEnableNotificationCompleteListener
-
Called when the reader get the result of enable notification.
- onEscapeResponseAvailable(BluetoothReader, byte[], int) - Method in interface com.acs.bluetooth.BluetoothReader.OnEscapeResponseAvailableListener
-
Called when the escape response is available.
- onReaderDetection(BluetoothReader) - Method in interface com.acs.bluetooth.BluetoothReaderManager.OnReaderDetectionListener
-
Called when the reader is detected.
- onResponseApduAvailable(BluetoothReader, byte[], int) - Method in interface com.acs.bluetooth.BluetoothReader.OnResponseApduAvailableListener
-
Called when the response APDU is available.
- onServicesDiscovered(BluetoothGatt, int) - Method in class com.acs.bluetooth.BluetoothReaderGattCallback
-


|
Custom Causal Compiler for Imitation
Backend compiler for desktop electron app that allows for rapid configuration of imitation experiments.
|
Facility Domain Compiler. More...
Public Member Functions | |
| def | __init__ (self, parser) |
| Constructor. More... | |
| def | visit_Literal (self, node) |
| Visit Literal. More... | |
| def | visit_Boolean (self, node) |
| Visit Boolean. More... | |
| def | visit_BoolExpr (self, node) |
| Visit Boolean Expression. More... | |
| def | visit_Args (self, node) |
| Visit Arguments. More... | |
| def | visit_Act (self, node) |
| Visit Action. More... | |
| def | visit_Acts (self, node) |
| Visit Actions. More... | |
| def | create_Action_Arg_Index_Reference_Dict (self, acts) |
| Create Action Argument Index Reference Dictionary. More... | |
| def | visit_Caus (self, node) |
| Visit Caus. More... | |
| def | visit_NoCond (self, node) |
| Visit No Conditional. More... | |
| def | visit_Cond (self, node) |
| Visit Conditional. More... | |
| def | id_generator (self, size=10, chars=string.ascii_uppercase) |
| ID Generator. More... | |
| def | compile_bool (self, cond, arg_indices) |
| Compile Boolean Statement. More... | |
| def | traverse_BoolExpr (self, cond, arg_indices) |
| Traverse Boolean Expression. More... | |
| def | visit_Stmt (self, node) |
| Visit Statement. More... | |
| def | visit_Stmts (self, node) |
| Visit Statements. More... | |
| def | visit_Var (self, node) |
| Visit Variable. More... | |
| def | visit_Digit (self, node) |
| Visit Digit. More... | |
| def | visit_Int (self, node) |
| Visit Integer. More... | |
| def | visit_State (self, node) |
| Visit State. More... | |
| def | visit_Python (self, node) |
| Visit Python. More... | |
| def | visit_Flt (self, node) |
| Visit Float. More... | |
| def | visit_All (self, node) |
| Visit ALL. More... | |
| def | visit_Type (self, node) |
| Visit Type. More... | |
| def | visit_NoOp (self, node) |
| Visit NoOp. More... | |
| def | interpret (self) |
| Interpret. More... | |
| Public Member Functions inherited from compiler.NodeVisitor.NodeVisitor | |
| def | visit (self, node) |
| Visit. More... | |
| def | generic_visit (self, node) |
| Visit Error. More... | |
Public Attributes | |
| parser | |
| Converts input into AST. | |
| M | |
| Length of longest effect sequence (longest list of actions / right side of a causal relation) | |
Facility Domain Compiler.
Compiles the first of the two required python scripts. This script builds the CO-PCT knowledge base by applying the rules to the input SMILE data.
| def compiler.Facility_Domain_Compiler.Facility_Domain_Compiler.__init__ | ( | self, | |
| parser | |||
| ) |
Constructor.
| parser | Parser that will provide the AST to be compiled |
| def compiler.Facility_Domain_Compiler.Facility_Domain_Compiler.compile_bool | ( | self, | |
| cond, | |||
| arg_indices | |||
| ) |
Compile Boolean Statement.
Returns a tuple (body, if statement) that represents the required additions to the output to succesffuly match the conditional.
| cond | Tuple of the form (expression1, comparator, expression2) |
| arg_indices | Dictionary with expression keys and i,j values where i and j are indices in the arguments 2d array |
| (String,String) | representing two return strings for conditionals |
| def compiler.Facility_Domain_Compiler.Facility_Domain_Compiler.create_Action_Arg_Index_Reference_Dict | ( | self, | |
| acts | |||
| ) |
Create Action Argument Index Reference Dictionary.
Returns a dictionary where the keys are arguments to the actions in a given causal statement and the values are the associated indices i,j in the 2d arguments array
| node | AST instance to be evaluated |
| {String,(String,String)} | dictionary of indices in the 2d arguments array |
| def compiler.Facility_Domain_Compiler.Facility_Domain_Compiler.id_generator | ( | self, | |
size = 10 , |
|||
chars = string.ascii_uppercase |
|||
| ) |
ID Generator.
Randomly generates a variable id. Developed from: https://stackoverflow.com/questions/2257441/random-string-generation-with-upper-case-letters-and-digits-in-python
| size | length of string to be generated |
| chars | character set used in generation |
| String | a random sequence of size characters from chars |
| def compiler.Facility_Domain_Compiler.Facility_Domain_Compiler.interpret | ( | self | ) |
Interpret.
Actually compile the statement. Returns a tuple of the string representing the compiled program as well as the value of M
| (String,String) | tuple of the form output code, output value of M |
| def compiler.Facility_Domain_Compiler.Facility_Domain_Compiler.traverse_BoolExpr | ( | self, | |
| cond, | |||
| arg_indices | |||
| ) |
Traverse Boolean Expression.
Recursively descend Boolean Expression and appropriately print it out
| cond | AST Tuple representation of boolean (expression, op, BooleanExpr) |
| arg_indices | Dictionary with expression keys and i,j values where i and j are indices in the arguments 2d array |
| (String,String) | two strings representing entire BooleExpr |
| def compiler.Facility_Domain_Compiler.Facility_Domain_Compiler.visit_Act | ( | self, | |
| node | |||
| ) |
Visit Action.
Returns a tuple of the action_name, action_args
| node | AST instance to be evaluated |
| def compiler.Facility_Domain_Compiler.Facility_Domain_Compiler.visit_Acts | ( | self, | |
| node | |||
| ) |
Visit Actions.
Returns a list of strings representing the actions
| node | AST instance to be evaluated |
| def compiler.Facility_Domain_Compiler.Facility_Domain_Compiler.visit_All | ( | self, | |
| node | |||
| ) |
Visit ALL.
Returns a tuple of the form ('All', argument)
| node | AST instance to be evaluated |
| (String,String) | tuple of the form 'ALL', arguments to ALL keyword |
| def compiler.Facility_Domain_Compiler.Facility_Domain_Compiler.visit_Args | ( | self, | |
| node | |||
| ) |
Visit Arguments.
Returns a list of strings representing the arguments
| node | AST instance to be evaluated |
| String | List list of args |
| def compiler.Facility_Domain_Compiler.Facility_Domain_Compiler.visit_Boolean | ( | self, | |
| node | |||
| ) |
Visit Boolean.
Returns a four-tuple of the form 'UNIT', e1, comp, e2 where e1 and e2 are tuples representing eithing literals, variables or keyword phrases
| node | AST instance to be evaluated |
| def compiler.Facility_Domain_Compiler.Facility_Domain_Compiler.visit_BoolExpr | ( | self, | |
| node | |||
| ) |
Visit Boolean Expression.
Returns a three tuple of the form b_left, op, b_right
| node | AST instance to be evaluated |
| (Tuple,String,Tuple) | of the form BooleanExpr, op, BooleanExpr |
| def compiler.Facility_Domain_Compiler.Facility_Domain_Compiler.visit_Caus | ( | self, | |
| node | |||
| ) |
Visit Caus.
Returns a three tuple of the form if statement, g.add statement, argument indices dictionary.
| node | AST instance to be evaluated |
| (String,String,{String,(String,String)}) | tuple of various return strings and index reference dictionary |
| def compiler.Facility_Domain_Compiler.Facility_Domain_Compiler.visit_Cond | ( | self, | |
| node | |||
| ) |
Visit Conditional.
Return the result of evaluating the boolean expression
| node | AST instance to be evaluated |
| Tuple | representing a BooleanExpr |
| def compiler.Facility_Domain_Compiler.Facility_Domain_Compiler.visit_Digit | ( | self, | |
| node | |||
| ) |
Visit Digit.
Returns a string representing a digit
: String string representation of digit
| def compiler.Facility_Domain_Compiler.Facility_Domain_Compiler.visit_Flt | ( | self, | |
| node | |||
| ) |
Visit Float.
Returns a float string which is two integers separated by a dot
| node | AST instance to be evaluated |
| String | string representation of float |
| def compiler.Facility_Domain_Compiler.Facility_Domain_Compiler.visit_Int | ( | self, | |
| node | |||
| ) |
Visit Integer.
Returns a string representing a full integer, which is a string of concatenated digits
| node | AST instance to be evaluated |
| String | string representation of integer |
| def compiler.Facility_Domain_Compiler.Facility_Domain_Compiler.visit_Literal | ( | self, | |
| node | |||
| ) |
Visit Literal.
Returns a tuple of the string 'LITERAL' and the literal value
| node | AST instance to be evaluated |
| (String,String) | of the form 'String', string_val |
| def compiler.Facility_Domain_Compiler.Facility_Domain_Compiler.visit_NoCond | ( | self, | |
| node | |||
| ) |
Visit No Conditional.
Return None when there is no conditional
| node | AST instance to be evaluated |
| none |
| def compiler.Facility_Domain_Compiler.Facility_Domain_Compiler.visit_NoOp | ( | self, | |
| node | |||
| ) |
Visit NoOp.
Returns the empty string
| node | AST instance to be evaluated |
| String | empty string |
| def compiler.Facility_Domain_Compiler.Facility_Domain_Compiler.visit_Python | ( | self, | |
| node | |||
| ) |
Visit Python.
Returns a tuple of ('PYTHON', code_str) where the code_str is the Python code to be inlined
| node | AST instance to be evaluated |
| (String,String) | tuple of the form 'PYTHON', code_string |
| def compiler.Facility_Domain_Compiler.Facility_Domain_Compiler.visit_State | ( | self, | |
| node | |||
| ) |
Visit State.
Returns a tuple of ('STATE', state_args)
| node | AST instance to be evaluated |
| (String,String | list) tuple of the form 'STATE', state_args |
| def compiler.Facility_Domain_Compiler.Facility_Domain_Compiler.visit_Stmt | ( | self, | |
| node | |||
| ) |
Visit Statement.
Returns a String representing a properly compiled full statement, including both a conditional and causal relation. Output is also appropriately tabbed.
| node | AST instance to be evaluated |
| def compiler.Facility_Domain_Compiler.Facility_Domain_Compiler.visit_Stmts | ( | self, | |
| node | |||
| ) |
Visit Statements.
Compile all statements and concatenate results
| node | AST instance to be evaluated |
| def compiler.Facility_Domain_Compiler.Facility_Domain_Compiler.visit_Type | ( | self, | |
| node | |||
| ) |
Visit Type.
Returns a tuple of the form ('TYPE', argument)
| node | AST instance to be evaluated |
| (String,String) | tuple of the for 'TYPE', argument to TYPE keyword |
| def compiler.Facility_Domain_Compiler.Facility_Domain_Compiler.visit_Var | ( | self, | |
| node | |||
| ) |
Visit Variable.
Return a string representing the variable value/name
| node | AST instance to be evaluated |


This page tracks the new paper links made to my list of Shape Modeling International 2005 papers.
Page maintained by Ke-Sen Huang.
If you have additions or changes, send an e-mail.
March 29, 2006
December 4, 2005
July 29, 2005
July 18, 2005
June 10, 2005
June 5, 2005
June 1, 2005
May 14, 2005
May 8, 2005
April 26, 2005
April 18, 2005
April 10, 2005
April 7, 2005
March 18, 2005
March 15, 2005
March 12, 2005
March 10, 2005
kesen.huang@gmail.com


ddf.stainer.Stainer¶
-
class
ddf.stainer.
Stainer
(name='Unnamed Stainer', row_idx=[], col_idx=[])¶ Parent Stainer class that contains basic initialisations meant for all stainers to inherit from.
Note
This class is not meant to be used on its own, and is meant as the superclass of any custom stainer that may be developed in the future.
-
name
¶ Name of stainer.
- Type
str
-
row_idx
¶ Row indices that the stainer will operate on.
- Type
int list
-
col_idx
¶ Column indices that the stainer will operate on.
- Type
int list
-
col_type
¶ Column type that the stainer operates on, used for stainer to automatically select viable columns to operate on, if the user does not pass in any col_idx. Currently supports [“all”, “category”, “cat”, “datetime”, “date”, “time”, “numeric”, “int”, “float”].
- Type
str
-
__init__
(name='Unnamed Stainer', row_idx=[], col_idx=[])¶ The constructor for Stainer class.
- Parameters
name (str, optional) – Name of stainer. Default is “Unnamed Stainer”.
row_idx (int list, optional) – Row indices that the stainer will operate on. Default is empty list.
col_idx (int list, optional) – Column indices that the stainer will operate on. Default is empty list.
-
get_col_type
()¶ Returns the column type that the stainer operates on.
- Returns
Column type that the stainer operates on.
- Return type
string
-
get_history
()¶ Compiles history information for this stainer and returns it.
- Returns
name (str) – Name of stainer.
msg (str) – Message for user.
time (float) – Time taken to execute the self.transform() method.
-
get_indices
()¶ Returns the row indices and column indices.
- Returns
row_idx (int list) – Row indices that the stainer operates on.
col_idx (int list) – Column indices that the stainer operates on.
-
transform
(df, rng, row_idx, col_idx)¶ Applies staining on the given indices in the provided dataframe.
Note
This method does not return anything and simply raises an error. However, it is expected for the user to implement the transform method for their custom user-defined stainers.
- Parameters
df (pd.DataFrame) – Dataframe to be transformed.
rng (np.random.BitGenerator) – PCG64 pseudo-random number generator.
row_idx (int list) – Row indices that the stainer will operate on. Will take priority over the class attribute row_idx.
col_idx (int list) – Column indices that the stainer will operate on. Will take priority over the class attribute col_idx.
- Returns
new_df (pd.DataFrame) – Modified dataframe.
row_map ({int: int} dictionary) – Row mapping showing the relationship between the original and new row positions.
col_map ({int: int} dictionary) – Column mapping showing the relationship between the original and new column positions.
- Raises
Exception – Children class does not implement the transform method.
-
update_history
(message='', time=0)¶ Used by transform method to set attributes required to display history information
- Parameters
message (str) – Mesasge to be shown to user about the transformation
time (float) – Time taken to perform the transform
Methods
__init__
([name, row_idx, col_idx])The constructor for Stainer class.
Returns the column type that the stainer operates on.
Compiles history information for this stainer and returns it.
Returns the row indices and column indices.
transform
(df, rng, row_idx, col_idx)Applies staining on the given indices in the provided dataframe.
update_history
([message, time])Used by transform method to set attributes required to display history information
-


Based on Fury PI (SmartPI with Fury connection).
Following the introduction to smart meter oracles, any multiple digital assets may be derived from meter readings.
Tokens are like a virtual currency, having a rule defining how new tokens get issued. For a smart meter two rules exist: Time and Power. Therefore two token contracts might be created.
| Time Based | Power Based | |
|---|---|---|
| Token Contract | ||
| Total Supply | ||
| You Hold |
Tokens might be transfered to each address. As smart contracts have an address to. Tokens might be transfered to other token contracts.
XToken is a special purpose token of the STROMDAO Business Object, allowing to exchange Token A to a new token with a multiplier.
For XTokens the rule to issue is a set of tokens contracts with each having a multiplier.
In this example we use the power token contract and the time token contract to form the new xtoken contract. In real world there could be multiple exchange pairs and a xtoken could be base of another xtoken contract.
| Token Contract | ||
|---|---|---|
| Total Supply | ||
| You Hold | ||
| Time Based | Power Based | |
| Source | ||
| Convertion Rate | Source Token*2 | Source Token*3 |
Tokens are digital assets. Each token contract holds a map of token holders and their balance.
In general an ewallet is like a virtual purse knowing a list of token contracts and providing a balance.
An ewallet knows that a tranfer function exists, giving users a possibility to transfer ownership of an amount of tokens to another address
Blockchain technology is a concept of common consens or in case of tokens an open ledger.
Token contracts got designed by having all transfers publicly accessible. In other words, everyone connected to a blockchain could check everyones balance on every token contract.
So far only meter point tokens and xtokens got modelled. For an full investmentcase it might be required to model a share holder token with a fixed amount of issued tokens.


|
TrackracerAR
0.9.2
|
State displays the racing score and you can see the vehicle still racing. More...
Public Member Functions | |
| override void | EnterState () |
| Gets called when entering this state. For more info see GameManager class More... | |
| override void | ExitState () |
| Gets called when exiting this state. For more info see GameManager class More... | |
| void | OnRetry () |
| Returns to the RaceSetupState More... | |
| void | OnExit () |
| Returns to the BuildDialogState More... | |
| Public Member Functions inherited from State | |
| delegate void | InputActionHandler () |
| delegate void | TouchHandler (float x, float y) |
| void | SetParentStateMachine (StateMachine _sm) |
| virtual void | SetActive (bool _active) |
| virtual void | UpdateActive (double _deltaTime) |
| Override this as your Update Function in the State. Is only called when the current state is active More... | |
Private Member Functions | |
| void | Construct (SignalBus _signalBus, IBuildStateMachine _buildSM) |
Private Attributes | |
| SignalBus | m_signalBus |
| IBuildStateMachine | m_buildSM |
Additional Inherited Members | |
| Protected Member Functions inherited from State | |
| virtual void | Initialise () |
| Override this as your Awake/Start/Init Function. Is called when this State is added to a StateMachine More... | |
| Protected Attributes inherited from State | |
| StateMachine | m_stateMachine |
| Properties inherited from State | |
| bool | Active [get, protected set] |
| Events inherited from State | |
| InputActionHandler | m_enteredState |
| InputActionHandler | m_exitedState |
State displays the racing score and you can see the vehicle still racing.
|
inlineprivate |
|
inlinevirtual |
Gets called when entering this state. For more info see GameManager class
Reimplemented from State.
|
inlinevirtual |
Gets called when exiting this state. For more info see GameManager class
Reimplemented from State.
|
inline |
Returns to the BuildDialogState
Implements IRaceOverState.
|
inline |
|
private |
|
private |


--- title: Finland joins NATO excerpt: Today, 4 April 2023, Finland became the 31st member of NATO. We’ll never again be alone with the Russian fascist state. date: '2023-04-04 17:03:27 +0100' categories: - General - Motivation image: path: /assets/images/social/NATO_logo.jpg ---
Today, 4 April 2023 is a historical day, and an emotional moment in time for me: Finland became the 31st member of NATO. And today, I’m in the mountains to celebrate this day. This morning, when I was again listening to the birds sing their hearts out, and watching the 4000+ meter snow- and ice-capped mountains glow in the sun, I felt grateful for this moment. We’ll never again be alone with the Russian fascist state.
The mountains are neutral. It’s us humans who project our feelings, dreams and aspirations onto them. We say that mountains have dignity; yet they can kill us in a couple of seconds if we’re in the wrong place at the wrong time. We can’t conquer them, we can only visit and cherish them. Mountains will stay here long after we’re gone.
As human, I can’t match the mountain. As human, it’s harder to be neutral, especially when it comes to values. And as human, I feel pain when the Russian terrorist state continues its war and aggression against the West, still in 2023. Both my grandfathers fought in the war against the Soviet Union more than 80 years ago. Even as a small child, I saw what the war did to them. And today, our enemy is still the same. Only this time, fascist Russia is threatening the West with nuclear weapons. I can only admire the Ukrainian spirit and resilience.
30 March 2023—the day when all the 30 NATO countries had approved Finland’s application—became the day that I’d been waiting for about 30 years. And finally today, on 4 April, after a good off-piste run, we’re celebrating the day with a bottle of Prosecco in the Italian Alps. This is a day to remember for the rest of my life!
I know which side I’m on, and I hope that Sweden joins the Alliance soon after. Congrats Finland, congrats Nato, and Slava Ukraini!


I had a few nice ones lined up for this third issue, but I stumbled upon this rather amazing gem while browsing what some of the people I follow in Twitter hacked on lately. And guess what, I found that Melissa Elliott did a rather nice and concise boot sector demo for the #io IRC channel a while back.
Now, it may seem a bit strange to pick a boot sector demo of all things for a column on nice code. But I have to say, this one is rather readable. And it's so rare to see readable assembly. Especially x86 assembly. So I just had to bring this one to your attention. And to get you started, here's a YouTube video of the most awesome result:
The code is as follows - scroll down a bit to after the code for some additional explanations and extra hints on how it works:
I love how nice, simple and concise this is. Especially the ripple function. I like to think of assembly like this as a puzzle, but since you may not be fluent in assembly I've prepared a few hints for you in the following paragraph; WARNING, SPOILERS AHEAD:
Other than that it's pretty much straightforward assembly. Odd, did I really just write that? Anyway, give it a couple looks and be intrigued ;-).
I hope this blew your mind - if not I'll gladly accept further submissions in either pointers to projects or full articles for future editions! Stay tuned for the next issue, which will be published on Monday, the 22nd of September.


Home
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| Trees | Indices | Toggle frames |
|---|
The listener properties for positional audio.
You can obtain the singleton instance of this class as pyglet.media.listener.
| float |
volume
The master volume for sound playback.
|
| 3-tuple of float |
position
The position of the listener in 3D space.
|
| 3-tuple of float |
forward_orientation
A vector giving the direction the
listener is facing.
|
| 3-tuple of float |
up_orientation
A vector giving the "up" orientation
of the listener.
|
The master volume for sound playback.
All sound volumes are multiplied by this master volume before being played. A value of 0 will silence playback (but still consume resources). The nominal volume is 1.0.
The position of the listener in 3D space.
The position is given as a tuple of floats (x, y, z). The unit defaults to meters, but can be modified with the listener properties.
A vector giving the direction the listener is facing.
The orientation is given as a tuple of floats (x, y, z), and has no unit. The forward orientation should be orthagonal to the up orientation.
A vector giving the "up" orientation of the listener.
The orientation is given as a tuple of floats (x, y, z), and has no unit. The up orientation should be orthagonal to the forward orientation.
| Trees | Indices | Toggle frames |
|---|
| Generated by Epydoc 3.0beta1 on Sun Mar 22 20:15:40 2009 | http://epydoc.sourceforge.net |


property Width: Integer;
Defines the width of the contained data array.
Writing into the Width property will resize the data array.
[See Also] Height, SetSize


Data Scientist - Palo Alto, CA
The Opportunity
Eversight is looking for a new member of our Data Science team to help us transform a $3.4 trillion market. Every year, consumer goods brands and retailers in the US spend nearly 2% of GDP to fund discounts and other promotions, which drive ~40% of overall sales volume. Eversight is the pioneer in Offer Innovation, introducing the capability for brands and retailers to discover, test, and deploy more effective promotions using a cloud-based SaaS platform that harnesses the latest in behavioral economics and machine learning. The Offer Innovation platform leverages recommendation-based test design, automated feature selection capability, algorithmic optimal experimental design and predictive analytics.
Reporting directly to the Head of Data Science, you will work with customers (leading CPGs like Mars, Coca-Cola, and Nestle) and our Customer Success team to analyze and provide insight using large data sets from real experiments. As a key user-facing technical expert, you will develop generalizable and extensible solutions to clarify and improve product outcomes for our customers. This is an opportunity to work at the tip of the spear in applying cutting edge data science to transform an industry, working cross-functionally with a collaborative team in a dynamic startup experiencing dramatic, triple-digit growth.
Responsibilities
Serve as dedicated data science expert for Eversight's users (leading CPG customers and the Customer Success team)
Lead custom analyses and communicate findings
Contribute to experimental design and validation for novel customer micro-tests
Technical resource for science-related questions about the product, test design, and insights
Mine customer and retailer digital assets to generate insights about optimal promotional test design and variable selection
Develop generalizable and scalable solutions for all of the above via scripting automated analytics
Translate analytic insights into concrete, actionable recommendations for business or product improvement
Maintain and augment internal statistical monitoring tools for science related features as well as prototype new science-driven product features
Partner with the engineering team to validate product automation
Behavioral Profile
Analytical, framework thinker with a strongly empirical orientation
Highly consultative and service-oriented; strong at translating data science concepts to non-technical audiences
Business focused; measures work in its contributions to business outcomes and prioritizes effort against deliverables accordingly
Experience
2+ years of relevant experience in analytics, data mining and experimentation with direct impact on business value
B.S. in Statistics, Mathematics, Engineering, Operations Research, Computer Science or relevant quantitative field
Experience in A/B testing and design of experiments (DOE)
Experience in machine learning methods with emphasis in regression and classification techniques (GLM, GLMM, decision trees, logistic regression, boosting, SVM)
Experience with statistical analysis tools such as Python or R
Experience with SQL
Knowledge of common data structures and ability to write efficient code in at least one language, preferably Python
Location
Palo Alto, CA
About Us
Eversight is the recognized leader in AI-powered pricing and promotions. Global brands and retailers rely on the Eversight platform to optimize pricing and respond to market conditions, deliver higher ROI on promotional spend, and enable data-driven collaboration on investments. Eversight is generating 10-25% improvement in sales volume at leading customers such Coca-Cola, General Mills, Johnson & Johnson, and Walgreens. Founded in 2013 and backed by private venture capital funding, Eversight is headquartered in Palo Alto, California with additional offices in Chicago, and New York. Visit http://www.eversightlabs.com ( http://www.eversightlabs.com/ ) to learn more.


About Me
Becoming a web developer
If somebody would have told me a week ago that I would be able to make a website, I would not have believed them.
Just a few days later, I came across Mimo and started to work on a real blog.
Becoming a web developer
If somebody would have told me a week ago that I would be able to make a website, I would not have believed them.
Just a few days later, I came across Mimo and started to work on a real blog.


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Farms besieged by groups of resourceful criminals
The past weeks have seen an almost twofold increase in housebreaking and theft incidents on farms in the greater Mbombela region.
by Charl PienaarMBOMBELA – According to John Meintjies, chairman of Nelspruit’s Community Policing Forum (CPF), there is definitely an escalation of criminal activity in Mbombela.
He explained that it is “that time of the year” and people on farms are soft targets.
“There were six housebreakings reported in the first week of October, which increased to 10 in the first week in November.”
A LSO READ: UPDATE Reward offered for information on Uitkyk farm attack
Victor Uys, communications official of Nelspruit’s Community Policing Sub Forum (CPSF) stated that he had intercepted 12 reported occurrences last week. The offences range from destruction of property, theft, attempted theft and housebreaking.
“We have seen an increase from three transgressions a month, to seven or more per week. We have already identified two groups or gangs operating in the vicinity of the farms on the R40 Barberton road to just after Hilltop Pass,” he said.
On November 16 just after 03:00, a BMW R1200 RT motorbike was stolen from a farm next to the R40. Corné Janse van Vuuren, the daughter of the farmer whose bike was stolen, told Lowvelder that the suspects had to use a bakkie to transport it.
“It is all very well – planned and organised; they obviously had us under constant surveillance and even tried to break in through the fence a week before,” she disclosed.
“Thankfully, a driver of White River Towing Services saw the bike on the back of the bakkie and when the perpetrators saw him, they abandoned the stolen bike,” Janse van Vuuren said.
The provincial police spokesman, Brig Leonard Hlathi, said the upsurge in farm burglaries and theft are due to opportunistic criminals taking advantage of the festive season mindset.
“It is that time of the year when there is a lot going on and people are going on vacation. We want to work with the security companies and CPF to tackle crime during this festive period. We have a current ongoing Safer Festive Season campaign, which will run until March.”
Hlathi appealed to community members to be extra vigilant.
Meintjies advised people who stay in rural areas to start WhatsApp groups to keep in touch and organise meetings.
ALSO READ: No arrests in farm attack near Hoedspruit
“They must also establish a CPF sub forum, which will force the police to participate and get involved. You can have the best security system installed, but if the burglars are determined to get into your house, they will find a way.


Head Blacksmith Bolin:
You know good and well that you must pass a test to become an Artisan!
Your level is good enough, but you haven't passed the test! Speak with Silvery in the Dwarven Village. You can't pass the test without her! Come back after you've passed the test.


--- title: The App Store Opportunity from PhoneGap Day EU 2012 author: Steve Gill format: html tags: - PhoneGap Day - Video ---
Thank you to everyone who attended PhoneGap Day EU and made it such a huge success. We're sharing videos from the event for those of you who weren't able to attend.
Our fourth video is from Distimo's Gert Jan Spriensma, who presented about the app store opportunity at PhoneGap Day EU. He speaks about techniques Distimo are using to collect data about all of the various app stores and why these metrics matter to you. You can view the slides from the presentation on SlideShare and view the recording from PhoneGap Day EU below!


Proper nutrition is a diet that promotes the normal functioning, development and renewal of body cells.
Harmonious relationships make us not only happy, but also more healthy, as well as healthy sleep, and proper nutrition.
Yoga restores the nervous system, normalizes heart rate, improves mood, relieves back and joint pain.
Why flexibility is so important for the body and how to stretch properly. Why do beginners need stretching?
We offer additional wellness fitness services for everyone, regardless of age and fitness level.
Pilates is aimed at improving posture, strengthening all muscles of the body. Pilates on a mat or Pilates on the equipment.
You can hire one of our consultants if it is hard for you to decide what products are healthy and suitable for your diet.


Computes linear Bayesian spectral estimates from multirate data for second-order stationary time series. Provides credible intervals and methods for plotting various spectral estimates.
| Version: | 2.4 |
| Published: | 2016-10-11 |
| Author: | Ben Powell [aut, cre], Guy Nason [aut] |
| Maintainer: | Ben Powell <ben.powell at bristol.ac.uk> |
| License: | GPL-2 |
| NeedsCompilation: | no |
| Citation: | regspec citation info |
| CRAN checks: | regspec results |
| Reference manual: | regspec.pdf |
| Package source: | regspec_2.4.tar.gz |
| Windows binaries: | r-devel: regspec_2.4.zip, r-release: regspec_2.4.zip, r-oldrel: regspec_2.4.zip |
| OS X binaries: | r-release: regspec_2.4.tgz, r-oldrel: regspec_2.4.tgz |
| Old sources: | regspec archive |
Please use the canonical form https://CRAN.R-project.org/package=regspec to link to this page.


Fiber cluster bouncing without any damping (Velocity Verlet + Zhao scheme)
More...
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| def | __init__ (self) |
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| def | set_initial_data (self, modelpart, rigid_face_model_part, iteration, number_of_points_in_the_graphic, coeff_of_restitution_iteration=0) |
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| def | get_final_data (self, spheres_model_part, rigid_face_model_part, cluster_model_part) |
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| def | ApplyNodalRotation (self, time, dt, modelpart) |
| |
| def | generate_graph_points (self, spheres_model_part, rigid_face_model_part, cluster_model_part, time, graph_print_interval, dt) |
| |
| def | print_results (self, number_of_points_in_the_graphic, dt=0, elapsed_time=0.0) |
| |
| def | compute_errors (self, output_filename) |
| |
Fiber cluster bouncing without any damping (Velocity Verlet + Zhao scheme)
◆ __init__()
| def DEM_benchmarks_class.Benchmark32.__init__ |
( |
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self | ) |
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◆ ApplyNodalRotation()
| def DEM_benchmarks_class.Benchmark32.ApplyNodalRotation |
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self, |
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time, |
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dt, |
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modelpart |
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) |
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◆ compute_errors()
| def DEM_benchmarks_class.Benchmark32.compute_errors |
( |
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self, |
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output_filename |
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) |
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◆ generate_graph_points()
| def DEM_benchmarks_class.Benchmark32.generate_graph_points |
( |
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self, |
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spheres_model_part, |
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rigid_face_model_part, |
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cluster_model_part, |
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time, |
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graph_print_interval, |
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dt |
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) |
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◆ get_final_data()
| def DEM_benchmarks_class.Benchmark32.get_final_data |
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self, |
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spheres_model_part, |
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rigid_face_model_part, |
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cluster_model_part |
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) |
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◆ print_results()
| def DEM_benchmarks_class.Benchmark32.print_results |
( |
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self, |
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number_of_points_in_the_graphic, |
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dt = 0 , |
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elapsed_time = 0.0 |
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) |
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◆ set_initial_data()
| def DEM_benchmarks_class.Benchmark32.set_initial_data |
( |
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self, |
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modelpart, |
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rigid_face_model_part, |
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iteration, |
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number_of_points_in_the_graphic, |
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coeff_of_restitution_iteration = 0 |
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◆ cluster_graph_counter
| DEM_benchmarks_class.Benchmark32.cluster_graph_counter |
◆ graph_frequency
| DEM_benchmarks_class.Benchmark32.graph_frequency |
◆ number
| DEM_benchmarks_class.Benchmark32.number |
◆ simulation_graph
| DEM_benchmarks_class.Benchmark32.simulation_graph |
◆ velocity_list_outfile_name
| DEM_benchmarks_class.Benchmark32.velocity_list_outfile_name |
The documentation for this class was generated from the following file:
- /home/runner/work/Documentation/Documentation/master/applications/DEMApplication/python_scripts/DEM_benchmarks_class.py


To be able to use SmartOS Image API as a source for datasets you need to add {{ protocol }}://{{ hostname }}
to the sources list of imgadm
and refresh the dataset list.
First you should determine which version of imgadm your SmartOS box is using by executing imgadm --version
You'll either see a version like: imgadm 2.0.2
which indicates you're on a more recent version of SmartOS or the default command listing (because the older imgadm does not know about the --version switch)
imgadm sources -a {{ protocol }}://{{ hostname }} imgadm sources -d https://images.joyent.com imgadm update
The source deletion of https://images.joyent.com
can be skipped - it will just ensure that you'll grab every image from this mirror
imgadm sources -e
.
imgadm sources -d {{ protocol }}://{{ hostname }} imgadm sources -a https://images.joyent.com imgadm update
The builder is a short (work-in-progress) formula to generate a JSON file for use with vmadm
on a SmartOS host.
The formular is able to dynamically add nics, disks (or filesystems) and metadata to the JSON file. It also tries to simplify adding metadata by providing a list of supported metadata keys for the selected dataset/image.


Request Membership
Optional comment:
You have requested to be a member of this team.
#{planBean.plan.planMembersCount} members
#{planBean.plan.planFansCount} supporters


Operation of BUCKET-SORT for n=10:
Consider the input array A[1..10] as shown below:
The internal [0,1) is divided into 10 equal sized buckets such that bucket i contains values that fall in the half-open range [i/10,(i+1)/10].
• Bucket 0 will hold the values that fall in the half-open range [0, 0.1]. Bucket 1 will hold the values that are.
• Bucket 1 will hold the values that fall in the half-open range [0.1, 0.2]. Bucket 1 will hold the values that are.
• Bucket 2 will hold the values that fall in the half-open range [0.2, 0.3]. Bucket 2 will hold the values that are.
• Bucket 3 will hold the values that fall in the half-open range [0.3, 0.4]. Bucket 3 will hold the values that are.
• Bucket 4 will hold the values that fall in the half-open range [0.4, 0.5]. Bucket 4 will hold the values that are.
• Bucket 5 will hold the values that fall in the half-open range [0.5, 0.6]. Bucket 5 will hold the values that are.
• Bucket 6 will hold the values that fall in the half-open range [0.6, 0.7]. Bucket 6 will hold the values that are.
• Bucket 7 will hold the values that fall in the half-open range [0.7, 0.8]. Bucket 7 will hold the values that are.
• Bucket 8 will hold the values that fall in the half-open range [0.8, 0.9]. Bucket 8 will hold the values that are.
• Bucket 9 will hold the values that fall in the half-open range [0.9, 1]. Bucket 9 will hold the values that are.
Explanation:
• The value .79 is greater than 0.7 and less than 0.8. Hence, it falls into the bucket 7.
• The values .13 is greater than 0.1 and less than 0.2. Hence, it falls into the bucket 1.
• The values .16 is greater than 0.1 and less than 0.2. Hence, it falls into the bucket 1.
• The value .64 is greater than 0.6 and less than 0.7. Hence, it falls into the bucket 6.
• The value .39 is greater than 0.3 and less than 0.4. Hence, it falls into the bucket 3.
• The value .20 is equal to 0.2. Hence, it falls into the bucket 2.
• The value .89 is greater than 0.8 and less than 0.9. Hence, it falls into the bucket 8.
• The value .53 is greater than 0.5 and less than 0.6. Hence, it falls into the bucket 5.
• The value .71 is greater than 0.7 and less than 0.8. Hence, it falls into the bucket 7.
• The value .42 is greater than 0.4 and less than 0.5. Hence, it falls into the bucket 4.
According to the lines 7 and 8 of the algorithm BUCKET-SORT(A) given in the textbook, the buckets will contain the values as shown below:
Explanation:
• All the buckets contain only one value expect the buckets 1 and 7.
• The values of bucket 1 are already sorted.
• The values of bucket 7 are not sorted. So sort the values of bucket 7 using insertion sort.
Then the array B is as shown below:
Hence, the sorted array is .
Let X be a random variable that is equal to number of heads that appear when the coin is flipped twice.
Then the random variable X takes the following values:
Then distribution for the random variable X is as shown below:
The expected value of a random variable X(s) on a sample space S is as shown below:
The expected value of a random variable X(s) that is equal to number of heads that appear when the coin is flipped twice is as shown below:
Hence, the value of and.
Sorting points in unit circle using Bucket sort
• We are given n points in the unit circle. It is already known that a unit circle have radius of 1 and its center is the origin.
• It is given that the points must be uniformly distributed, such that the probability of finding a point in any region of the circle is proportional to the area of that region.
• Thus, to distribute the points uniformly, the total area of the circle must be divided into x regions or disks such that each region have the same area.
• Then, each point lies in any of the disk based on the distance from the origin.
• Since the given circle is unit circle, the radius r= 1. Thus the area of the unit circle.
Also, the distance of each point in the unit circle from the origin is
Now, split the area into x regions, each having area .
Calculating Bucket sizes such that the points are distributed uniformly:
• Assume that the radii of circles is .
Then the area of each region or disk is as follows:
• Since we divide the circle into x regions and the area of each region or disk must be , area of each region, .
• Then radius of each circle can be calculated as follows:
• Then
.
.
.
• Thus,
The points in the first region have the distance between 0 to .
The points in the second region have the distance between to .
And so on.
The points in the last region have the distance between to1.
Therefore create x buckets for the following half opened intervals:
• Now, insert the each point into corresponding buckets. The corresponding bucket can be calculated using the distance of the point as follows:
That is, each point is inserted into .
• Now, the sorted points can be obtained by sorting each bucket and concatenating the buckets in the order of .
Algorithm:
• Obviously, the above sort reflects the uniform distribution of the points, since the area of all regions is equal.
• Since the above sort uses bucket-sort, the average-case running time of the above sort is. Where n is the number of points in the unit circle.


21 March 2002
Disease Outbreak Reported
Neisseria meningitidis serogroup W135 has
been laboratory confirmed in cases from 5 districts by the WHO Collaborating Centre for
Reference and Research on Meningococci, Oslo, Norway. A Crisis Committee has been set up by the Ministry of
Health, Burkina Faso. A WHO team is working with the Committee to consider the most
appropriate strategy to control the outbreak, given the presence of the W135 strain.
Measures include epidemiological surveillance, collection and testing of samples,
social mobilization, training and coordination.
As of
20 March, WHO has reported 3 579 cases including 544 deaths (case-fatality rate,
15%) in the entire country. Twelve out of 15 districts have reach the epidemic threshold
and 13 districts are on alert for reaching the threshold. Vaccination campaigns were
carried out in 2001 and recently in 2002 (see previous report)
.


Created for ABCD bootstrap wksp 3/19/2015
All the files required for this workshop are available on GitHub here: https://github.com/michaelkerry/bootstrap_wksp
If you are *not* already comfortable with GitHub, the easiest thing to do is to download the zipped directory of all files here. You can then edit them with your favored IDE/Text Editor.
If you *are* already comfortable with GitHub, and have a preferred IDE/Text Editor, please feel free to fork the project and clone it to your local machine, then edit the exercises with your favored IDE/Text Editor.
If you would like to try something new, and are confident in your abilities, you may wish to try using Aptana 3 Studio to complete this project. Aptana 3 Studio is an IDE based on Eclipse but oriented towards HTML and Ruby development instead of Java or C development. I used Aptana 3 Studio to develop the materials for this workshop and commit them to the bootstrap_wskp repository on GitHub. The most challenging part of this process may be setting up the SSH keys required to connect your local machine to GitHub. You will want to try to get this set up beforehand, as we won't have time to debug these issues during the workshop.
You will need a GitHub acccount. If you do not already have one, please sign up here: Github Home
Once you have one, please follow the instructions to set up ssh keys on your working machine and share them with GitHub, so that you can fork and clone the project to your working machine.
Download and install Aptana Studio 3, which IMHO has easy-to-use Git integration already built in. You may wish to change the default workspace.
If you are using Aptana 3 studio, you can fork and clone the project from GitHub by clicking on the 'File' menubar, then selecting 'Import', then opening the 'Git' directory, then selecting 'Fork GitHub Repository'. You will then need to enter 'michaelkerry' as the owner, 'bootstrap_wksp' for the repository, and then select a valid file path for the destination (in the current workspace is best). You will then see bootstrap_wksp appear as a project within Aptana 3 Studio, and you can select, open, and begin editing files. Click the Green Arrow button to 'Run' the File, which will open up a web browser to display the rendered page.
The basic idea is to work through the exercises in directory order, starting with 01-04 in ascending order, then picking through 05-08 in whatever order appeals to you. If you have time to also work through the more challenging exercises in 09 during the 90 minute workshop, well, then, you work quickly. :)


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In Memory of Coach Rong-Wen Lee ,
the Pioneer of Canoeing in Taiwan
Our teacher, Rong-Wen Lee , the Pioneer of Canoeing in Taiwan, passed away on September 4. Most national canoeing players were once his students. He is also the first person who introduced to Taiwan the canoeing skills and coaches from France. Without him , canoeing could not prosper in our country as it does now. Most importantly, because he used to dedicate all his time to finding an ideal place for the players to practice, consequently establishing the practicing area in Sun Moon lake and Cambridge in Taichung.
Once a best canoeing player, a best canoeing couch, and a best citizen, coach Lee sacrificed his money as well as his life to make canoeing a popular sport in our country. Moreover, it is he that made the Cambridge in Taiwan come true and made the rivers around it much cleaner than before.