Web 2.0 UI Library
Web 2.0 UI is a JavaScript library for building rich interactive web applications using techniques such as AJAX, DHTML and DOM scripting. It
includes a number of various widgets to speed up the development of cross-browser applications. Below is the list of JavaScript classes:
The class jsUtils is a required class for all libraries. It provides with the core features all other classes are uwing. You should always
include this class with all the pages.
CSS Files
There is a number of CSS files that needs to be included if you would like to use Web 2.0 UI classes. Below is the list of CSS files:
<link href="system/images/w20-main.css" type="text/css" rel="stylesheet">
<link href="system/images/w20-ui-blue.css" type="text/css" rel="stylesheet">
<link href="system/images/w20-controls.css" type="text/css" rel="stylesheet">
Additionaly, you can include:
<link href="../images/w20-buttons.css" type="text/css" rel="stylesheet">
which will make standard controls a little better looking.
Core JavaScript File
The jsUtils.js file should alwayst be included because it contains the core class that is used by all other classes within Web
2.0 UI library.
<script src="system/libs/jsUtils.js" type="text/javascript"></script>
Additionally, you might want to include
<script src="system/libs/jsControls.js" type="text/javascript"></script>
library, since it contains many controls that can be used independently in your web pages.
See Also


Toggle navigation
Algorithm Setup:
Target String:
Mutation Chance:
Population Size:
Target
Mutation Chance
Population Size
Population Pool
Mating Pool
Fitness History
Information
Generation
Highest Fitness
Gene


Friends, Music, Stamp Collection, Family, Coding, Illustration, UI/UX, Javascript, Web, Photoshop, Malayalam Movies, Memories, Creativity, Love
Visit to Carribean Islands
Join Design School
Girl Friend :D
Learn drawing and painting
buy Nexus4
Buy a Macbook Pro
Buy a Adobe Collection License
Sheaffer or Waterman fountain pen
Israeli Paratrooper shoulder bag
New smoking pipe


CON AIR (1997) A film review by Nick Schaden Copyright 1997 Nick Schaden
I have to admit, I'm always wary of big budget, "blockbusters". From the previews, "Con Air" did look a little too polished. However, mainly because of the star power, I went, and I'm glad I did. But first:
"Con Air" is the story of a nice young US Army Ranger Cameron Poe (Nicholas Cage) who gets in a drunken brawl protecting his wife (Monica Potter). Poe kills a man during the brawl, and gets hauled off to jail for several years. Finally, Poe is released on parole, but to get back home he has to hitch a flight with the absolute most meanest, sickest criminals in the world (hence the name "Con Air"). As you can probably guess, the plane is overtaken by the evil criminals (played notably by John Malkovich, Steve Buscemi and Ving Rhames), and of course, the only man that can stop it? Bad boy Cameron Poe.
If you notice a sense of cynicism in that last paragraph, you're right. In short, the biggest weakness of "Con Air" is that the movie is just too polished and too predictable.  To boot, the film's final sequence (a crash in the middle of Las Vegas) pushes the boundaries of reality more than most action movies.
But wait! All is not lost. What puts this action movie above much of the pack? First, the acting and characterization. While the southern drawl does sound fake, Nicholas Cage easily fulfills his role as action hero, and the supporting cast (while canned as "sell outs" by many other critics) works wonderfully. Furthermore, in many other action movies, we get characterization of only the main villain, with the rest of his henchmen playing little more than cannon fodder. However, in "Con Air", director Simon West fleshes out not just Malkovitch's character (the leader of the cons) but also takes time for the supporting cast too (Buscemi, Rhames and others).
Second, the movie is so slickly put together that the action seems to naturally fall into place, and the movie has a fast pace that seems to allow my previously mentioned problems to be less of a burden. All in all, while I know the movie suffered through one too many action movie clichés, and a not-so-original plot, "Con Air" flies with finesse and style, a quality that can't be found in many other action flicks.
Nick's Rating: +2 (Recommended)
*** Movies rated from -4 (worst) to +4 (best), 0 = average movie ***
-- Nick Schaden send your comments to<EMAIL_ADDRESS>Check out all of Nick's reviews at: http://uslink.net/~cpunut/movies.html
The review above was posted to the
rec.arts.movies.reviews newsgroup (de.rec.film.kritiken for German reviews).
The Internet Movie Database accepts no responsibility for the contents of the
review and has no editorial control. Unless stated otherwise, the copyright
belongs to the author.
Please direct comments/criticisms of the review to relevant newsgroups.
Broken URLs inthe reviews are the responsibility of the author.
The formatting of the review is likely to differ from the original due
to ASCII to HTML conversion.
Related links: index of all rec.arts.movies.reviews reviews


#define STATUS
The possible status values. First the flags to test in the given order for a given status, then the values to set for these statuses. At the end some additional flags that may be set.
| STATUS_OFFLINE | 0xffffffff |
The user is offline. / Set status to offline. | |
| STATUSF_INVISIBLE | 0x00000100 |
The user is invisible. | |
| STATUSF_DND | 0x00000002 |
The user does not want to be disturbed. | |
| STATUSF_OCCUPIED | 0x00000010 |
The user is occupied. | |
| STATUSF_NA | 0x00000004 |
The user is not available. | |
| STATUSF_AWAY | 0x00000001 |
The user is away. | |
| STATUSF_FFC | 0x00000020 |
The user is free for chat. | |
| STATUS_ONLINE | 0x00000000 |
The user is online. / Set status to online. | |
| STATUS_INVISIBLE | 0x00000100 |
Set status to invisible. | |
| STATUS_DND | 0x00000013 |
Set status to do not disturb. | |
| STATUS_OCCUPIED | 0x00000011 |
Set status to occupied. | |
| STATUS_NA | 0x00000005 |
Set status to not available. | |
| STATUS_AWAY | 0x00000001 |
Set status to away. | |
| STATUS_FFC | 0x00000020 |
Set status to free for chat. | |
| STATUSF_WEBAWARE | 0x00010000 |
The user is web-aware. | |
| STATUSF_IP | 0x00020000 |
The user allows his IP to be shown. (that must actually be wrong) | |
| STATUSF_BIRTH | 0x00080000 |
The user's birthday is today. | |
| STATUSF_UNK | 0x00100000 |
Unknown. | |
| STATUSF_DCAUTH | 0x10000000 |
The user allows direct connections only upon authorization. | |
| STATUSF_DCCONTACT | 0x20000000 |
The user allows direct connections only with contacts. | |
| STATUSF_UNUSED | 0xcfe4fec8 |
As of yet unused flags. |


Text Block
This is the main body of text for our emails.
Regular Text Block
This is where the majority of the content lives. Each new paragraph has to be separated by

rather than the usual

to keep consistent sizing across different email clients.
HTML

Dear friend,

 I have no memory of the accident and I’m told that’s probably a good thing. I was riding my bike to work on a Thursday morning last January when a bus collided with me—and then I was hit by a dump truck.

 My first memory of that day is waking up in the Intensive Care Unit (ICU) at Vancouver General Hospital (VGH) with a team of doctors and nurses around me. I was suffering from severe lower limb trauma and they had a very short amount of
time to save my leg…and I’m so happy to report that they did!

 I never thought I would need emergency help from VGH—until that scary day when I wouldn’t have survived without it. Thanks to donors like you, I received incredible care from the moment I was admitted to VGH and throughout
my recovery at UBC Hospital and GF Strong Rehab Centre.

 You and I and all of our fellow British Columbians are lucky to have these health care centres in case the unexpected and life-threatening happens.

Please donate to support the team of people who got me up and walking on my own two legs again.

 Sincerely.

DEMO


cf.cfdm.read¶
-
cf.cfdm.
read
(filename, external=None, extra=None, verbose=False, warnings=False, _implementation=<CFDMImplementation: >)¶ Read field constructs from a dataset.
The dataset may be a netCDF file on disk or on an OPeNDAP server.
The returned field constructs are sorted by the netCDF variable names of their corresponding data variables.
Performance
Descriptive properties are always read into memory, but lazy loading is employed for all data arrays, which means that no data is read into memory until the data is required for inspection or to modify the array contents. This maximises the number of field constructs that may be read within a session, and makes the read operation fast.
NetCDF unlimited dimensions
Domain axis constructs that correspond to NetCDF unlimited dimensions may be accessed with the
nc_unlimited_dimensions
nc_set_unlimited_dimensions
andnc_clear_unlimited_dimensions
methods of a field construct.CF-compliance
If the dataset is partially CF-compliant to the extent that it is not possible to unambiguously map an element of the netCDF dataset to an element of the CF data model, then a field construct is still returned, but may be incomplete. This is so that datasets which are partially conformant may nonetheless be modified in memory and written to new datasets.
Such “structural” non-compliance would occur, for example, if the “coordinates” attribute of a CF-netCDF data variable refers to another variable that does not exist, or refers to a variable that spans a netCDF dimension that does not apply to the data variable. Other types of non-compliance are not checked, such whether or not controlled vocabularies have been adhered to. The structural compliance of the dataset may be checked with the
dataset_compliance
method of the field construct, as well as optionally displayed when the dataset is read by setting the warnings parameter.New in version 1.7.0.
See also
cfdm.write
,cfdm.Field.convert
,cfdm.Field.nc_unlimited_dimensions
,cfdm.Field.dataset_compliance
Parameters: - filename:
str
The file name or OPenDAP URL of the dataset.
Relative paths are allowed, and standard tilde and shell parameter expansions are applied to the string.
- Parameter example:
The file
file.nc
in the user’s home directory could be described by any of the following:'$HOME/file.nc'
,'${HOME}/file.nc'
,'~/file.nc'
,'~/tmp/../file.nc'
.
- external: (sequence of)
str
, optional Read external variables (i.e. variables which are named by attributes, but are not present, in the parent file given by the filename parameter) from the given external files. Ignored if the parent file does not contain a global “external_variables” attribute. Multiple external files may be provided, which are searched in random order for the required external variables.
If an external variable is not found in any external files, or is found in multiple external files, then the relevant metadata construct is still created, but without any metadata or data. In this case the construct’s
is_external
method will returnTrue
.- Parameter example:
external='cell_measure.nc'
- Parameter example:
external=['cell_measure.nc']
- Parameter example:
external=('cell_measure_A.nc', 'cell_measure_O.nc')
- extra: (sequence of)
str
, optional Create extra, independent fields from netCDF variables that correspond to particular types metadata constructs. The extra parameter may be one, or a sequence, of:
extra Metadata constructs 'field_ancillary'
Field ancillary constructs 'domain_ancillary'
Domain ancillary constructs 'dimension_coordinate'
Dimension coordinate constructs 'auxiliary_coordinate'
Auxiliary coordinate constructs 'cell_measure'
Cell measure constructs - Parameter example:
To create fields from auxiliary coordinate constructs:
extra='auxiliary_coordinate'
orextra=['auxiliary_coordinate']
.- Parameter example:
To create fields from domain ancillary and cell measure constructs:
extra=['domain_ancillary', 'cell_measure']
.
An extra field construct created via the extra parameter will have a domain limited to that which can be inferred from the corresponding netCDF variable, but without the connections that are defined by the parent netCDF data variable. It is possible to create independent fields from metadata constructs that do incorporate as much of the parent field construct’s domain as possible by using the
convert
method of a returned field construct, instead of setting the extra parameter.- verbose:
bool
, optional If True then print a description of how the contents of the netCDF file were parsed and mapped to CF data model constructs.
- warnings:
bool
, optional If True then print warnings when an output field construct is incomplete due to structural non-compliance of the dataset. By default such warnings are not displayed.
- _implementation: (subclass of)
CFDMImplementation
, optional Define the CF data model implementation that provides the returned field constructs.
Returns: list
The field constructs found in the dataset. The list may be empty.
Examples:
>>> x = cfdm.read('file.nc') >>> print(type(x)) <type 'list'>
Read a file and create field constructs from CF-netCDF data variables as well as from the netCDF variables that correspond to particular types metadata constructs:
>>> f = cfdm.read('file.nc', extra='domain_ancillary') >>> g = cfdm.read('file.nc', extra=['dimension_coordinate', ... 'auxiliary_coordinate'])
Read a file that contains external variables:
>>> h = cfdm.read('parent.nc') >>> i = cfdm.read('parent.nc', external='external.nc') >>> j = cfdm.read('parent.nc', external=['external1.nc', 'external2.nc'])
- filename:


#include <errno.h>
#include <cstring>
#include <ios>
#include <iostream>
#include <sstream>
Go to the source code of this file.
|
| | Utils |
| | Namespace for utility classes and such used by other components.
|
| |
| std::ostream& std::operator<< |
( |
std::ostream & |
s, |
|
|
const Utils::Format & |
format |
|
) |
| |
|
inline |
Insertor method for Format objects.
Applies the format settings found in a Format object to a stream.
- Parameters
-
| s | stream to work with |
| format | format settings to use |
- Returns
- stream acted on
Definition at line 480 of file Format.h.
References operator<<(), and Utils::Format::put().
template<class T >
| std::ostream& std::operator<< |
( |
std::ostream & |
os, |
|
|
const Utils::Formatter< T > & |
f |
|
) |
| |
Template method used to insert Formatter objects into an output stream.
Updates the output stream with the format settings found in a Format object, and then invokes the std::ios formatter for the value. Upon exit, the format settings of the stream are restored to their original values.
- Parameters
-
| os | output stream to write to |
| f | Formatter instance containing the format to use and the value to format. |
- Returns
- stream written to
Definition at line 504 of file Format.h.
Output stream insertor for all Printable object types.
Just invokes the Printable::print method that must be defined in Printable subclasses.
- Parameters
-
| os | stream to write to |
| p | object to write |
- Returns
- stream written to
Definition at line 520 of file Format.h.


Registration of Users
User ID:
First Name:
Last Name:
Date of Birth:
Address:
Contact Number:
Email Id:


Four stores with Cora this evening. Four public bathroom visits. Sigh.
4/15/2011, 9:48:45 PM
Favs: 0
Retweets: 0
link--- layout: tweet ---
Four stores with Cora this evening. Four public bathroom visits. Sigh.
4/15/2011, 9:48:45 PM
Favs: 0
Retweets: 0
link


Marsden Kelly is a Chicago-based writer & comedian. Best known as the ‘Ruth Bader Ginsburg of Comedy,’ Marsden has been shamelessly serving Seasonal Affective Disorder REALNESS since 2012. Her work pushes people to ask the big questions, like, “but, why?” “seriously?” and “How are you still alive?” Check out her homepage for information on all of her upcoming projects and performances.


Concept Model
Entities and Attributes
User
- userId (primary key)
- userActivationToken (for account verification)
- userAgent
- userAvatarUrl
- userBlocked
- userEmail
- userHandle
- userHash (for account password)
- userIpAddress
User Detail
- userDetailId (primary key)
- userDetailUserId (foreign key)
- userDetailAboutMe
- userDetailAge
- userDetailCareer
- userDetailDisplayEmail
- userDetailEducation
- userDetailGender
- userDetailInterests
- userDetailRace
- userDetailReligion
Question (Dan Questions)
- questionId (primary key)
- questionUserId (foreign key)
- questionContent
- questionValue
Answer
- answerUserId (foreign key)
- answerQuestionId (foreign key)
- answerResult
- answerScore
Match
- matchUserId (foreign key)
- matchToUserId (foreign key)
- matchApproved
Report
- reportUserId (foreign key)
- reportAbuserID (foreign key)
- reportAgent
- reportContent
- reportDate
- reportIp
Relationships
- One User has one User Detail
- Many Users answer many Questions
- Many Users can match with many Users
- Many Users can report many Users
ERD
Wireframes


Cokeis Shope
Add new Location
Location :
Min number of customers/hr :
Max number of customers/hr :
Avg number of cookies/customer :


| rank.integer64 {bit64} | R Documentation |
Returns the sample ranks of the values in a vector. Ties (i.e., equal values) are averaged and missing values propagated.
## S3 method for class 'integer64' rank(x, method = NULL, ...)
x |
a integer64 vector |
method |
NULL for automatic method selection or a suitable low-level method, see details |
... |
ignored |
This function automatically chooses from several low-level functions considering the size of x
and the availability of a cache.
Suitable methods are sortorderrnk
(fast ordering)
and orderrnk
(memory saving ordering).
A numeric vector of the same length as x
.
Jens Oehlschlägel<EMAIL_ADDRESS>order.integer64
, rank
and prank
for percent rank.
x <- as.integer64(sample(c(rep(NA, 9), 1:9), 32, TRUE)) rank.integer64(x) stopifnot(identical(rank.integer64(x), rank(as.integer(x) , na.last="keep", ties.method = "average")))


Sibande leads Miami (Ohio) past Drake 67-59
by EndPlayESTERO, Fla. (AP) - Nike Sibande had 16 points and 11 rebounds to lead Miami (Ohio) to a 67-59 win over Drake in the Gulf Coast Showcase on Monday.
Sibande scored 12 of his points in the second half, and he recorded his first double-double of the season.
Dalonte Brown had 13 points and seven rebounds for Miami (4-1), which earned its fourth consecutive victory. Dae Dae Grant added 11 points.
Liam Robbins had 12 rebounds for the Bulldogs (4-2). Anthony Murphy added seven rebounds. Drake entered averaging nearly 80 points a game, but was held to 19-for-54 (35.2%) shooting against Miami.
___
For more AP college basketball coverage: https://apnews.com/Collegebasketball and http://twitter.com/AP_Top25
___
Elements of this story were generated by Automated Insights, http://www.automatedinsights.com/ap, using data from STATS LLC, https://www.stats.com


---
layout: game-page
redirect_from: /game/fantastical-delights
title: Fantastical Delights
year: 2020
semester: Spring
description: "Vacation in the Garden of Earthly Delights!
- Explore the world of a depicted by a 500-year-old painting!
- Watch deer run around!
- Find four clues scattered around the Garden!
- Help God consider kicking Adam & Eve out of the Garden!
Welcome to Fantastical Delights, a virtual reality experience for the delayed Beaux-Arts Ball of 2020. This is a reinterpretation of the Hieronymus Bosch’s painting The Garden of Earthly Delights. You need to find a series of clues scattered around the map to provide God evidence of Adam and Eve's sin!
This project was funded in part by the Frank Ratcheye Funds for Art @ the Frontier microgrant.
Controls
Grip Right/Grip Left == Grip your virtual fists
Trigger Right/ Trigger Left == Curl your virtual finger
Inventory:
Have your left palm facing up
Point with the right hand and Inventory UI should pop up on your left hand.
To select items, point to them and press the Oculus Touch: B Key / Vive Left Controller Grip to hold them.
Oculus Touch: A Key == Puts held item away
Oculus Touch: X Key, Y key == Teleport to various points of interest on the map.
Movement:
Oculus Touch: Right Joystick
Movement is head oriented
"
tags: Windows VR Singleplayer Unreal
# tag options: "Windows",
# "Singleplayer", "Multiplayer",
# "Controller-Compatible", "VR",
# "Game-Jam"
project_members: {
Matthew Lucien Komar: Team Lead,
Joyce Zhang: "Co-Team Lead, Texturing, Modeling, Animating",
Ibukunoluwa Sanni: Tree Modelling and Texturing,
Aliyah Zhang: Tree Modeler,
Sanjay Salem: "Animal Modeler, Animating",
Lisa Lo: Animal Modeler and Asset UV Mapping
}
stage_game_path: fantastical-delights/
builds: {
Windows (Version 2): HeavenVR_PC_Preview.zip,
"Windows (Version 3, with Quest 2 graphics)": HeavenVR_QuestPC_Preview.zip,
Quest 2 (Version 3): FantasticalDelights3.apk
}
thumbnail: thumbnail.jpg
top-img: BoxArt2.jpg
screenshots: [
thumbnail.jpg,
HVR_NewLandscapejpg.jpg,
HVR_PitBird.png,
HVR_Structures.png,
HVR_Deer.jpeg,
HVR_Inventory.jpeg,
HVR_AnimalAntiHarassment.jpeg,
HVR_Map.png
]
gameplay-videos: [
www.youtube.com/embed/igJSPLAU0UI
]
top-img-fit: fill
# top-img-fit options:
# "cover" - Cover the entire top area with the image, without squashing/stretching
# "fill" - Fit the FULL image into the top area, squashing/stretching as necessary
---


Taxi
Young taxi driver Daniel is obsessed with fast driving. Like a hurricane, he sweeps through the winding streets of Marseille on his powerful roaring beast "Peugeot", frightening passengers and passers-by. Incorruptible policeman Emilien forces him to help in catching a gang of robbers, eluding the police in their elusive "Mercedes". And until the very end it is not clear who will be able to stay on a steep curve.


Select your language to test
Hey, I am John Doe.
Buy coffee now
Register new task
Save your item and publish
Translation here is easy. Just follow this steps to make your app translation ready:
Add class .trn
to each element you want to translate, like this for example:

Hey, I am John Doe.

Create a Dictionary in your JS file with the translations
var dict = {
"Hey, I am John Doe.": {
en: "Hey, I am John Doe.",
ch: '嘿，我是李四。',
es: "Hola, me llamo John",
fr: 'Bonjour, mon nom est John'
},
Call the plugin!
var translator = $('body').translate({ lang: 'en', t: dict }) // language and dictionary to use
translator.lang('ch') // output language
translator.get('Hey, I am John Doe.') // get the text for translation


Tyler Leite
Rensselaer Polytechnic Institute '18
Pursuing a Master's in Computer Science, considering a dual major in Game Systems and Simulation. Plans to pursue a PhD in Computer science, and hopes to work in natural language processing.
"What is truly special about Pierrepont, and what I never really realized was special until I graduated and started talking about high school experiences with people at college, is the sense of intellectual freedom at the school. Being able to take courses that are right for you, and having teachers who really are friends to the students rather than just authority figures, leads to students being able to develop a firm understanding of and real appreciation for the material at hand."


- Sun 29 May 2005
- research
- Arend L. Schwab
- #bicycle, #schwab blog
Salome, 3 and 11/12 years old, can ride a bicycle! Thanks to the Cornell/UIUC method. In the last couple of years Andy Ruina, Jim Papadopoulos and Richard Klein gave me advice on how to teach your kid to ride a bike.  I was still unaware of the method so I used trainer wheels. This was bad. It took him (and me) a long time to learn how to ride a bike.
With the next, Simon, things went better. I was now aware of the method and I threw away the trainer wheels. He learned quicker and now far more enjoys riding his bike.
Then with Salome I started out with a scooter. In this way she mastered balancing by leaning and steering without the real danger of falling over. Scooters are slow low riders. After some time she wanted to go faster. So I took the bicycle, dismounted the pedals and lowered the seat. She now could pedal the bike like a scooter and get used to the somewhat different dynamics of the bike opposed to the scooter. Shortly after this she asked for the pedals. To make her really connect to the bike we first went to shop and bought some nice pink and lilac paint (her choice), painted the bike and mounted the pedals. On Sunday we went out on the street walk and after an initial push of she rode of all by herself!


Contains a list of groups. The index of each group corresponds to the group ID.
Finds a group by its name and returns the group object.
The name of the group.
Returns the group object if found, otherwise undefined.
Adds a handler that will be called if a new group is added to the KLF-200 interface or a group has been changed.
Event handler that is called if a new group is added or a group has been changed.
The event handler can be removed by using the dispose method of the returned object.
Adds a handler that will be called if a group is removed from the KLF-200 interface.
Event handler that is called if a group is removed.
The event handler can be removed by using the dispose method of the returned object.
Creates a new instance of the Groups class. During the initialization phase of the class a list of all groups will be retrieved from the KLF-200 interface and stored at the Groups array.
Additionally, some notification handlers will be instantiated to watch for changes to the groups.
The connection object that handles the communication to the KLF interface.
Resolves to a new instance of the Groups class.
Generated using TypeDoc
The Groups class represent all groups defined in the KLF-200.
Groups


Introduction to Angular 2+
by Denis Mehmed
http://codigodiario.meAngular is a redesigned new framework for web application development. It’s based on the popular AngularJS (version 1) framework, but it has changed a lot from that first version. Two of the most important advantages are that it’s much faster than its predecessor and it’s has a simplified API, there are fewer concepts to learn in Angular 2+ than there were in AngularJS.
let car = "car"; // We can use let if are going to reasign this variable
const newCar = "CAR" // We can use const if the variable we are declaring is not going to be reasigned
const age = 23;
const text = `Im ${age} years old`
console.log(text); // Im 23 years old
Typescript let us create small modules/class and letting us export and import it wherever we need to use it
npm install -g @angular/cli
ng new bkSpain
cd bkSpain
ng serve
ng generate name
or ng g
import { Component } from '@angular/core';
@Component({
selector: 'app-root',
templateUrl: './app.component.html',
styleUrls: ['./app.component.css']
})
export class AppComponent {
title = 'app';
}


|
We’re getting your order ready and we’ll email you with the tracking information as soon as it’s out the door. Here’s where it’s headed.
Shipping address:
Smiles Davis
600 Montgomery St
San Franscisco, CA 94111
If you included an eero 6 or eero Pro 6 product on this order, the entire order will ship on or after November 2, 2020.
|
|


I shall go now and strangle them all with my bare hands!


{% if error %}
{{ error }}
{% endif %}{% extends "layouts/base.html" %} {% block nav %}
Add a webhook like Slack or integrate with your own apps.
The webhook comes in the comes in JSON form. e.g.
{
"account":"xrb_1niabkx3gbxit5j5yyqcpas71dkffggbr6zpd3heui8rpoocm5xqbdwq44oh",
"amount":10.94,
"type":"received",
"text":"Received 10.94 XRB at xrb_1niabkx3gbxit5j5yyqcpas71dkffggbr6zpd3heui8rpoocm5xqbdwq44oh"
}
{{ error }}
{% endif %}


WebGLFundamentals API Docs
These docs are an attempt to help explain some of the helper function used in the articles on webglfundamentals.org.
WebGL is a very low-level API and so using it is very verbose. To draw a simple lighted cube can easily require 50-100 WebGL calls. Calls to create buffers and put data in them. Calls to create that data in the first place. Calls to create GLSL shader programs. Calls read attribute and uniform locations. Calls to create textures, bind textures to texture units, bind buffers to attributes, and set uniforms.
At some point this complexity makes it hard to concentrate on the topic at hand and so helper functions can reduce the number of lines need to a smaller few.
Functions for reducting the amount of code can be found here.
If you're using WebGL to do 2D or 3D you'll likely need many math helper functions in JavaScript as well.
Functions for 2D math are here.
Functions for 3D math are here.
Finally WebGL requires vertices to operate on. Functions to generate veritces for common shapes like spheres, cubes, planes, cones, etc can be found here.
JSDoc3 Plea
These docs are generated with JSDoc3. I find them very confusing to look at and in some places frustratingly verbose. If you have any experience with JSDoc3 and know how to make the docs more approachable and useful please submit a pull request or file an issue with details.


1 write to IsReadOnly
System.Management.Automation (1)
engine\MshObjectTypeDescriptor.cs (1)
101
IsReadOnly
= isReadOnly;


Z star homes in Nepal offers you various interesting tour packages around upper Mustang and lower Mustang
through trekking that will give you the opportunity to explore famous religious temple of Nepal called
Muktinath, some of Nepal’s oldest Buddhist Monasteries, stunning snow-capped mountains like Annapurna,
prehistoric places such as kagbeni, Lomanthang , the mustang royal palace and the unique lifestyle of
Nepalese people living in remote part of Mustang.
Z star homes has another homestay in Mugu where you can enjoy the beautiful scenary of the ever graceful
Rara Lake. It is one of the tourist destination in Nepal.
Rara Lake at 2,990 m, is the deepest lake in Nepal and also one of the most pristine. Surrounded by green
hills on all sides, covered in juniper trees, one can camp by the sparkling waters of the lake. Go boating
in the clear waters, hike to nearby hills for a closer view of the mountains and lake, get acquainted with
the charming local people, or just walk around the large lake watching out for wild flowers or a rare bird
along the way.
Rara lake is so far named as Mahendra lake which is given by late king His Majesty King Mahendra. but
popularly it is named as Rara lake,the biggest freshwater lake in Nepal. it is widely knonw as its natural
beaut in the lap of Mt Saipal
We put our guests first in everything we do and all our Z star homes family members are specialized in their
descriptive duties and responsibilities , who deliver quality service, enabling our guests to fully leverage
the benefits when staying our home stay.


Frequently Asked Questions
I’m seeing ‘Error:root:Kconfig is not contained in validated .config!’
This means that there are some missing or wrong entries in your kunitconfig
file. Make sure you’ve spelt all of your config entries correctly, and that
you’ve included all of their dependencies.
If you’ve not changed the kunitconfig file, make sure you’ve got the correct
version. In particular, some earlier versions used CONFIG_TEST=y
instead
of CONFIG_KUNIT=y
.
Note
This error message can be confusing, so we intend to improve it. See https://bugzilla.kernel.org/show_bug.cgi?id=205235 for more details.
I’m seeing a lot of ‘makes integer from pointer without a cast’ errors in KUNIT_ASSERTION
If you wish to compare pointers, you’ll need to use the _PTR variants of the
KUNIT_EXPECT
macros. For example, you need to use
KUNIT_EXPECT_PTR_EQ(test, ptr1, ptr2)
instead of
KUNIT_EXPECT_EQ(test, ptr1, ptr2)
.
This is required for KUnit to use the correct format specifier when printing out expectation failures.


{% load staticfiles %}
We are building a website that will dramatically improve companies' ability to hire and meet the United States Small Business Administration's (SBA) Hubzone Requirements.
We envision a business environment in which the information-gathering and decision-making processes around HUBZone certification is seamlessly easy


The world's most popular social networking sites certainly have changed over the years, and they'll undoubtedly continue to change as time moves forward. Old social networks will die, popular ones will stick around as they're forced to evolve, and brand new ones will appear.
Most of us already know that Facebook is the top social network on the web. It's a thriving beast of a social networking site on the web with over 1.59 billions monthly active users as of December 2015 and over one billion that log on daily (according to Facebook itself). Statistashows that Facebook Messenger is also the second most popular messaging app behind WhatsApp. After failing to acquire Snapchat in 2013, Facebook acquired WhatsApp in 2014 so that it could be the one that was one top of instant messaging.
Twitter is known as the real-time, publicmicroblogging network where news breaks first. Most users loved it for its iconic 140-character limit and unfiltered feed that showed them absolutely everything. Twitter has changed dramatically over the years, and today it's criticized a lot for going the way of looking and functioning almost exactly like Facebook. Besides Twitter Card integration, which now makes it easy to share all sorts of multimedia content in tweets, you can expect to see algorithmic timelines coming to Twitter soon as well.


{% extends "speakers/base.html" %} {% load boxes_tags %} {% block subnav %}
{% endblock %} {% block body %}{% box "talk-proposals" %}
To submit a talk:
You will be able to come back and revise your submission until the deadline. Remember that speakers must register and pay to attend the conference.
{% else %}Talk submissions are now closed and the schedule has been announced.
{% endif %}| Title | Session type | Audience level | Status | Messages | Actions | |
|---|---|---|---|---|---|---|
| {{ proposal.title }} | {{ proposal.get_session_type_display }} | {{ proposal.get_audience_level_display }} | {% if proposal.cancelled %}Cancelled{% else %}{% if request.user == proposal.speaker.user %}{% if proposal.result.accepted %}Accepted{% else %}Submitted{% endif %}{% else %}Associated{% endif %}{% endif %} | {{ proposal.messages.all.count }} | {#{% if not proposal.cancelled %}{% if request.user == proposal.speaker.user %}Edit{% endif %}{% if request.user == proposal.speaker.user %} | Cancel{% else %}Leave{% endif %}{% endif %} | #}{% if not proposal.cancelled %}{% if request.user == proposal.speaker.user and proposal.can_edit %}Edit{% endif %}{% endif %} |
No proposals. You can submit one now!
{% endif %} {% endblock %}


I have taught seminars for second year undergraduates at Cambridge since in following subjects:
- Part 1A Formal Methods (Michaelmas 2022)
- Part IB Epistemology and Metaphysics of Science (Lent 2023)
- Part IB Ethics (II) (Lent 2023)
Parts IA, IB, and II refer respectively to the first, second, and third years of an undergraduate degree in philosophy at Cambridge.
Each weekly seminar targets a central paper in the subject. The goal is to discuss it with peers at a deeper level than the lecture can. That means that students must read ahead and take detailed notes.
Reading lists can be found on the subject pages above. These may change during the term in response to suggestions or requests.


public abstract class HttpRequest
extends java.lang.Object
| Modifier and Type | Class and Description |
|---|---|
static interface |
HttpRequest.HttpRequestFactory |
| Modifier and Type | Field and Description |
|---|---|
static java.lang.String |
HEADER_ACCEPT |
static java.lang.String |
HEADER_CONTENT_LENGTH |
static java.lang.String |
HEADER_CONTENT_TYPE |
static java.lang.String |
HEADER_USER_AGENT |
static java.lang.String |
METHOD_DELETE |
static java.lang.String |
METHOD_GET |
static java.lang.String |
METHOD_POST |
static java.lang.String |
METHOD_PUT |
| Constructor and Description |
|---|
HttpRequest() |
| Modifier and Type | Method and Description |
|---|---|
static HttpRequest |
create(java.lang.String url)
Create an HttpRequest, using the global factory.
|
abstract OutputStream |
createRequestBodyStream()
Returns an output stream that writes to this connection.
|
abstract java.lang.String |
getHeader(java.lang.String name)
Returns the value of the named header or null if it's not set.
|
abstract HttpResponse |
send()
Opens a communications link to the resource referenced by this URL, if such a connection has not already been
established.
|
void |
setContentTypeAndAcceptHeaders(java.lang.String contentType,
java.lang.String accept)
This is a convenience method to set both the Content-Type and Accept headers, at the same time.
|
static void |
setFactory(HttpRequest.HttpRequestFactory httpRequestFactory)
Set the global (default) factory used to create http requests.
|
abstract void |
setHeader(java.lang.String name,
java.lang.String value)
Sets the specified HTTP request header to the specified value.
|
abstract void |
setMethod(java.lang.String method)
Set the method for the request, one of:
GET POST HEAD OPTIONS PUT DELETE TRACE
are legal, subject to protocol restrictions.
|
abstract void |
setTimeout(int timeoutInMillis)
Sets a specified timeout value, in milliseconds, to be used when doing connecting/reading/writing to the server.
|
public static final java.lang.String METHOD_GET
public static final java.lang.String METHOD_POST
public static final java.lang.String METHOD_PUT
public static final java.lang.String METHOD_DELETE
public static final java.lang.String HEADER_CONTENT_LENGTH
public static final java.lang.String HEADER_CONTENT_TYPE
public static final java.lang.String HEADER_USER_AGENT
public static final java.lang.String HEADER_ACCEPT
public static HttpRequest create(java.lang.String url)
url
- URLpublic static void setFactory(@Nullable HttpRequest.HttpRequestFactory httpRequestFactory)
httpRequestFactory
- factorypublic abstract void setMethod(java.lang.String method)
method
- the HTTP methodpublic void setContentTypeAndAcceptHeaders(java.lang.String contentType, java.lang.String accept)
contentType
- Content-Type header valueaccept
- Accept header valuepublic abstract void setTimeout(int timeoutInMillis)
timeoutInMillis
- an int
that specifies the connect timeout value in millisecondspublic abstract void setHeader(java.lang.String name, java.lang.String value)
name
- the header name (e.g., "Accept
")value
- the value associated with itpublic abstract java.lang.String getHeader(java.lang.String name)
name
- the header name (e.g., "Accept").public abstract OutputStream createRequestBodyStream()
IOException
- if an I/O error occurs while opening the connection.public abstract HttpResponse send()
connect
method is called when the connection has already been opened.
HttpRequest objects go through two phases: first they are created, then they are connected. After being created,
and before being connected, various options can be specified (e.g., doInput and UseCaches). After connecting, it
is an error to try to set them. Operations that depend on being connected, like getContentLength, will
implicitly perform the connection, if necessary.SocketTimeoutException
- if the timeout expires before the connection can be establishedIOException
- if an I/O error occurs while opening the connection.setTimeout(int)


Welcome to the homepage for the STAMP Toolbar for ArcGIS . This toolbar implements functionality outlined in the paper: STAMP: Spatial-temporal analysis of moving polygons, published in the Journal of Geographical Systems, Volume 9, Number 3 / September, 2007.
The main purpose of STAMP is to facilitate spatial-temporal analysis of polygon data. This can be useful for analysis of phenomena that change spatially through time. Examples include examining a spreading wildfire in a forested area, and the spread of forest insects across a landscape. We hope that others will find additional uses for these methods.
Polygons from consecutive years are unioned, and the unioned layers are called "change layers". These change layers are made up of polygons that are given an event type, which describes the type of change that occured between the two times. Events are designated in the change layers based on spatial relationships between input polygons. The spatial relationships that create events are outlined below.
| Download STAMP Toolbar for ArcGIS as an msi executable (updated Dec 6 2007). Requires ArcGIS 9.2.
stamp_arcgis92.msi
here's some test data
read the tip sheet first! |
Events derived from SPATIAL OVERLAP
| T1 polygons (solid fill) and T2 polygons(dotted) in Change Layer | Events [attribute codes] |
| 1 = Contraction [CONTR] 2 = Stable [STABLE] 3 = Expansion [EXP] |
| 1 = Expansion [EXP] 2 = Stable [STABLE] 3 = Contraction [CONTR](Division) 4 = Stable [STABLE] 5 = Expansion [EXP] |
| 1 = Contraction [CONTR] 2 = Stable [STABLE] 3 = Expansion [EXP](Union) 4 = Stable [STABLE] 5 = Contraction [CONTR] |
Events derived from SPATIAL PROXIMITY
Movement events are derived for polygons within a distance threshold (d). These events can be classified by either the destination of the movement (T2 polygon) or the source of the movement (T1 polygon). The classications below are for T2 movements, but the T1 classification is given in brackets.
| T1 polygons (solid fill) and T2 polygons(dotted) in Change Layer | Events |
| 1 = Disappearance [DIS] 2 = Displacement [GD] ([DG] for T1) |
| 1 = Expansion [EXP] 2 = Stable [STABLE] 3 = Contraction [CONTR] 4 = Divergence [GC] (Concentration [DC]) |
| 1 = Contraction [CONTR] 2 = Stable [STABLE] 3 = Expansion [EXP] 4 = Fragmentation [GE] (Convergence [DE]) |
Events derived due to NO SPATIAL RELATIONSHIPS
Generation and Disappearance events occur when the distance to the nearest associated polygon is greater than the threshold distance.
| T1 polygons (solid fill) and T2 polygons(dotted) in Change Layer | Events |
| 1 = Disappearance [DIS] 2 = Generation [GEN] |


Motif-Z (short for Motif detection with statistical Z-Score) is a software tool to identify motifs from major histocompatibility complex (MHC) class I binding peptide sequence data. It is designed to analyze peptide sequences with specific or various lengths (from 7 to 14 amino acids). Although Motif-Z is developed as an sequence analysis tool for MHC binding peptides class I data but it can also be used efficiently in detection of motifs from short piptide sequences of various lengths (7mer to 14 mer).
Disclaimer: The software provided on this website may be used freely by academic and non-profit purposes. Users from the commercial sector should contact authors for permission.
Feedback and question about this website<EMAIL_ADDRESS>{% endblock %}


GDP measured?
GDP is measured by taking the quantities of all goods and services produced, multiplying them by their prices, and summing the total. GDP can be measured either by the sum of what is purchased in the economy or by what is produced. Demand can be divided into consumption, investment, government, exports, and imports.


|
KratosMultiphysics
KRATOS Multiphysics (Kratos) is a framework for building parallel, multi-disciplinary simulation software, aiming at modularity, extensibility, and high performance. Kratos is written in C++, and counts with an extensive Python interface.
|
SwapCoordinatesAndOffsetIdsProcess. More...
Public Member Functions | |
| def | __init__ (self, model, settings) |
| Constructor of the class. More... | |
| def | ExecuteBeforeSolutionLoop (self) |
| Perform the transformation before printing the initial mesh. More... | |
| def | ExecuteInitializeSolutionStep (self) |
| Undo the transformation after the initial mesh is printed. More... | |
| def | ExecuteBeforeOutputStep (self) |
| Offset the Ids. More... | |
| def | ExecuteAfterOutputStep (self) |
| Restore the Ids offset. More... | |
Public Attributes | |
| model_part | |
| nodes_ids_offset | |
| elements_ids_offset | |
| conditions_ids_offset | |
| properties_ids_offset | |
| execute_initialize_solution_step_is_called | |
SwapCoordinatesAndOffsetIdsProcess.
This process offsets the ids in order to differentiate several model parts at post-processing level.
| def offset_ids_process.OffsetIdsProcess.__init__ | ( | self, | |
| model, | |||
| settings | |||
| ) |
Constructor of the class.
| def offset_ids_process.OffsetIdsProcess.ExecuteAfterOutputStep | ( | self | ) |
Restore the Ids offset.
| def offset_ids_process.OffsetIdsProcess.ExecuteBeforeOutputStep | ( | self | ) |
Offset the Ids.
| def offset_ids_process.OffsetIdsProcess.ExecuteBeforeSolutionLoop | ( | self | ) |
Perform the transformation before printing the initial mesh.
| def offset_ids_process.OffsetIdsProcess.ExecuteInitializeSolutionStep | ( | self | ) |
Undo the transformation after the initial mesh is printed.
| offset_ids_process.OffsetIdsProcess.conditions_ids_offset |
| offset_ids_process.OffsetIdsProcess.elements_ids_offset |
| offset_ids_process.OffsetIdsProcess.execute_initialize_solution_step_is_called |
| offset_ids_process.OffsetIdsProcess.model_part |
| offset_ids_process.OffsetIdsProcess.nodes_ids_offset |
| offset_ids_process.OffsetIdsProcess.properties_ids_offset |


| Bounce Collision Example |
Example of how to detect collision and react between a point and line segment |
|
| cWynn Answers |
Very basic question/answer forum |
|
| Distance Caddie |
Keep track of golf club average shot distance |
|
| Gravity Hero Level Designer |
Build/Test Levels for Gravity Hero |
|
| Phonetic Alphabet Trainer |
Trainer to learn the phonetic alphabet (Alpha, Bravo, Charlie, Delta....) |
|
| Shopping Cart |
Demo of a shopping cart |
|
| Scorecard |
Simple multi-hole scorecard for golf |
|
| cWynn Login |
A php/mysql user login system. Example + Source Code |
|
| CoinDB |
Simple Coin database, nothing fancy; just needed something like this |
|
| Calculator |
Basic Javascript 4-function Calculator |
|
| Image Directory Viewer |
Dynamic Image Directory parser and viewer |
|


A rise in non-scripted productions
Networks have also upped their non-scripted content, as compared with
scripted programming, producers can turn around new episodes of
reality shows, talent competitions, and game shows much faster.
CBS will continue airing nightly the second season of "Love Island," and
"Big Brother," a summertime affair that is filling three
different time slots for the network.
ABC will also lean heavily on unscripted fare, with returning staples
"Dancing With the Stars," “Shark Tank,” and “The Bachelorette."
Additionally, singing competitions will be back in full force with NBC airing "The Voice"
and Fox airing "The Masked Singer."


Belfast pizzeria fined for food safety breaches
A BELFAST pizzeria has been fined and ordered to pay compensation for food safety breaches.
The fine imposed at Belfast Magistrates Court yesterday came after Belfast Woodfired Pizza Company on the city's Lisburn Road failed to tell a customer with a food allergy that their order contained nuts, when in fact one of the ingredients were cashew nuts.
However, the customer had a nut allergy and suffered an anaphylactic reaction after eating a slice of vegan cheese pizza and was subsequently hospitalised.
Belfast Woodfired Pizza Company pleaded guilty to a complaint of placing food that was deemed unsafe and considered injurious to health to a specific category of consumers on the market.
The restaurant was fined £1,000 and ordered to pay compensation of £2,500 to the injured customer.


NULL SMB session
HKLM\System\CurrentControlSet\Control\Lsa\RestrictAnonymous,
HKLM\System\CurrentControlSet\Control\Lsa\RestrictAnonymousSAM, and
HKLM\System\CurrentControlSet\Control\Lsa\EveryoneIncludesAnonymous registry keys).
Key: SOFTWARE\Microsoft\Windows\CurrentVersion\Policies\System
Value: "FilterAdministratorToken"
0x00000000 Only the built-in administrator account (RID 500) SHOULD be placed into Full Token mode.<7>
0x00000001 Only the built-in administrator account (RID 500) is placed into Admin Approval Mode. Approval is required when performing administrative tasks.
HKLM\SOFTWARE\Microsoft\Windows\CurrentVersion\Policies\System\LocalAccountTokenFilterPolicy
(which doesn’t by default) is set to 1, then remote connections from all local members of Administrators are granted full high-integrity tokens during negotiation. This means that a non-RID 500 account connections aren’t filtered and can successfully pass-the-hash!


Event Location:
Viale G.P. Usberti c/o Campus Università degli Studi di Parma
Parco Area delle Scienze, 181/a
Parma, , Italy
Abstract:
Spesso, troppo spesso, si leggono informazioni non precise in merito a come utilizzare SQL Server. A volte veri e propri suggerimenti errati che portano a costruire soluzioni pensando di fare le cose nel modo migliore. Molti sono i miti che ruotano intorno al motore relazionale di casa Microsoft. In questa sessione affronteremo diversi miti e pregiudizi su SQL Server per spiegare cosa realmente accade "dietro le quinte" e come poter sfruttare al meglio le funzionalità che abbiamo a disposizione. Una sessione molto utile sia per testare le reali conoscenze di SQL Server, sia per migliorare la propria competenza. Scopriremo come miti e pregiudizi comuni possono in realtà peggiorare le prestazioni, avere configurazioni errate, ridurre la disponibilità dei dati.
Speaker(s): andrea benedetti,
Abstract:
Entity Framework è la tecnologia (open-source) di accesso ai dati consigliata e coordinata da Microsoft, in dettaglio è un ORM (object-relational mapper) nato dall'esigenza di volere accedere a dati relazionali sfruttando la pura programmazione ad oggetti, eliminando quasi completamente la necessità di dovere scrivere codice specifico per l'accesso ai dati (T-SQL). In particolare in questa sessione vedremo come sfruttare Entity Framework ricavandone il massimo dell'elasticità, partendo dal codice (Code-First) e non da un designer (Model-First), inoltre vedremo come sia possibile accedere anche ad un database esistente, sempre in code-first. Indipendentemente che siate nuovi, o abbiate già sguazzato in altre tecnologie ORM, vi mostrerò quanto velocemente sia possibile iniziare a lavorare con EF6 e aumentare la vostra produttività durante la creazione di applicazione .NET data-centriche.
Speaker(s): Michael Denny,
Abstract:
In a Corporate BI environment, it is common having data available in controlled data sources such as Data Warehouse, relational Data Marts, and Analysis Services cubes. Consuming this data with self-service BI is very useful, but how do you manage and validate the access to corporate data sources? How do you share and validate new queries created by end users? How can users extract data at the right granularity level? Power Query bridges the gap between corporate and self-service BI. It empowers end-users so that they can extract and manipulate data from several data sources, inside and outside of the company. In this session, learn the Power Query best practices that enable the extraction of data from existing database and cubes, guided by an expert who understands both worlds (Corporate BI and Power Pivot data models).
Speaker(s): Marco Russo,
Abstract:
Ogni query, prima di essere eseguita, viene trasformata dal Query Optimizer in un piano di esecuzione. Il piano di esecuzione descrive in quale ordine vengono accedute le tabelle, quali sono gli indici utilizzati e con quale modalità di accesso; quali operatori fisici implementano le operazioni richieste, sintetizzando traccia la strada più efficiente per accedere ai dati. In questa sessione, dopo aver descritto che cosa accade, dietro le quinte, quando una query viene eseguita, vedremo come consultare il relativo piano di esecuzione per trarre informazioni che ci permettano di scrivere query più efficienti; vedremo infine come consultare i piani di esecuzione delle query eseguite in un’istanza SQL Azure.
Speaker(s): Sergio Govoni,
Abstract:
Migliorare le prestazioni del codice T-SQL eseguito su SQL Server è uno dei temi più ricorrenti. SQL Server offre una fonte ricchissima di informazioni per capire molti problemi prestazionali: la memoria cache dei piani di esecuzione. La sessione mostra le tecniche di esplorazione della memoria cache di SQL Server, per arrivare ad identificare le query peggiori tramite l’analisi automatica di script SQL e xQuery dei piani di esecuzione presenti in formato XML. Viene mostrato come identificare in maniera automatica i piani di esecuzione più costosi, le possibili ottimizzazioni e gli operatori meno performanti. Più in generale, come identificare le parti di codice più onerose per arrivare a dare indicazioni puntuali di progettazione e manutenzione allo sviluppatore ed al DBA. Mostra inoltre le novità introdotte da SQL 2014 per facilitare l’approccio a questa tematica.
Speaker(s): Saverio Lorenzini,
Abstract:
In an enterprise, merging master data, like customer data, from multiple sources is a common problem. Typically, you do not have a single, i.e. the same key identifying a customer in different sources. You have to match data based on similarity of strings, like names and addresses. In this session, we are going to check how different algorithms for comparing strings included in SQL Server work. We are going to use four different algorithms that come with Master Data Services (Levenshtein, Jaccard, Jaro-Winkler and Ratcliff-Obershelp), and Fuzzy Lookup transformation from Integration Services. Finally, we are going to introduce how SQL Server Data Quality Services help us here.
Speaker(s): Dejan Sarka,
Abstract:
How Massive Parallel Process Works? Sql Server 2012 Parallel Datawarehouse is an Enterprise solution for massive parallel data processing for huge database. Redundancy, Scalable, Extreme performances, Hadoop Polybase native support....
Speaker(s): Luca Ferrari,
Abstract:
The Columnstore indexes technology has been introduced in SL Server 2012 and strongly enhanced in SQL 2014. This session illustrate their architecture and will show pros (many) and cons (not so many). Starting from large DWH in SQL Server 2012, a number of OLTP application can now take advantage from this feature to achieve impressive performance improvements.
Speaker(s): Gilberto Zampatti,
Abstract:
We are used to see our code under source control. What about our databases? This topic is too often underestimated. Keeping database under our control (source controlled) brings many advantages in terms of organization and quality. The distributed work become rock solid and Continuous integration is simpler to implement. In addition, we can take many advantages from testing, automated deployment and all the stuff that brings the agile methodology available to the team. We will compare also third party tools in order to understand the differences between different vendors.
Speaker(s): Alessandro Alpi,
Abstract:
Text mining is becoming more and more popular. Everybody would like to understand data from blogs, Web sites, and social media. Microsoft SQL Server in versions 2012 and 2014 enhances full-text search support that was substantially available in previous editions. Semantic Search, a new component in Full-Text Search, can help you understanding the meaning of documents. The Term Extraction and Term Lookup components from SQL Server Integration Services also help with text analysis. However, the question arises: is all this enough? This presentation unveils the good and the bad side of text mining with SQL Server tools.
Speaker(s): Dejan Sarka,
Abstract:
In questa sessione vedremo come Azure permette di interagire con I Big Data, per creare quello che viene definite un "Modern BI Ecosystem": utilizzando HDInsight, PowerBI, e SQL Server nel cloud, vedremo come poter creare una soluzione complete, sfruttuando tutte le potenzialità che il cloud ci mette a disposizione.
Speaker(s): Davide Mauri,
Abstract:
PowerPivot and BISM Tabular share a columnar-based database engine called xVelocity. Understand some basic principles about how VertiPaq works, how data is compressed, and how you can design a data model for better optimization.
Speaker(s): Marco Pozzan,
Abstract:
Descrizione delle best practices per la virtualizzazione di SQL Server. Consolidamento dei server al fine del risparmio di licenze. Alta disponibilità in ambiente virtuale
Speaker(s): Andrea Caldarone,
Abstract:
Unit testing is a good practice to follow also in a database development environment. It allows to realize and finalize the Continuous Integration process on our database and It makes all the development more reliable and consistent just before deployment. We can use some interesting frameworks when testing, and we will speak about installing and executing them.
Speaker(s): Alessandro Alpi,
Abstract:
The SQL Server Data Collector has earned a bad name since its inception in SQL Server 2008. It has always been hard to customize, troubleshoot and extend. However, things are changing now with a new open source tool that lets you manage and customize your data collection with a graphical user interface and allows collecting data from Extended Events. Why not give Data Collector another try? It’s free, it ships with the product and in this session you will learn how to extend it to create a complete monitoring solution.
Speaker(s): Gianluca Sartori,
Abstract:
How does it works ? Why is so fast ? How can I use it ?
Speaker(s): Luca Ferrari,
Abstract:
Ok: you have SQL Azure, Machine Learning, and some specific DW-specific VMs. But...what is Azure? Let's do an overview about Azure, its offer, what you can do for your solution. Discover what is a Cloud Service, what is storage and georeplication, choose the right size of a VM. Try Virtual network and manage it with Powershell. https://github.com/marcoparenzan/sqlsat355
Speaker(s): Marco Parenzan,
Abstract:
BIML è un linguaggio XML-Based che permette di modellare completamente una soluzione di BI. E' particolarmente interessante per la creazione in automatico di processi ETL, per il quale può essere usato gratuitamente tramite il BIDS Helper, tool free che dovrebbe essere noto a tutti coloro che sviluppano soluzioni di BI con la piattaforma Microsoft.In questa sessione vedremo cos'è, come si usa e come può aiutare a ridurre sensibilmente i tempi di sviluppo di una soluzione ETL ed allo stesso tempo aumentarne la qualità.
Speaker(s): Davide Mauri,
This is a list of speakers from the XML Guidebook records. The details and URLs were valid at the time of the event.
LinkedIn: http://www.linkedin.com/in/sqlbi
Contact: https://www.sqlbi.com/blog/marco
Marco is a Business Intelligence consultant and mentor. He wrote several books about Power BI, Analysis Service, and Power Pivot. He also regularly writes articles and white papers that are available on sqlbi.com. Marco is a Microsoft MVP and an SSAS Maestro, the highest level of certification on Microsoft Analysis Services. Today, Marco focuses his time with SQLBI customers, traveling extensively to train and consult on DAX and data modeling for Power BI and Analysis Services. Marco also teaches public classes worldwide. Marco is a regular speaker at international conferences like Microsoft Ignite, PASS Summit, and SQLBits. He also enjoys delivering evening sessions at local user groups during his trips.
LinkedIn: https://it.linkedin.com/in/suxstellino
Contact: http://suxstellino.wordpress.com/
Alessandro lavora nell#39;IT dal 2000. La passione per l#39;informatica nasce ad 11 anni partendo dal C64 ed oggi #232; CTO di Engage IT Services srl dove si occupa della gestione del team di sviluppo e del contatto tecnico con i clienti. Nel team si occupa anche dell#39;amministrazione e del ciclo di vita dei database. E’ MVP SQL Server dal 2008, #232; anche Microsoft Certified Professional, ed oltre ad essere speaker a diversi eventi Microsoft, segue due blog e risponde sui forum di StackOverflow e MSDN
LinkedIn: http://www.linkedin.com/in/davidemauri
Contact: https://medium.com/@mauridb
Data Platform MVP for almost 12 years, I love Data and Database in all their forms. Developer for passion (C# and Python), I've been working in the IT field since 1997. My focus has been databases and performance tuning since the start, focusing both on transactional and analytical workloads. I worked for more than 10 years on Business Intelligence and Data Warehousing, then moved to IoT and Big Data for a while. Now back to database space, injecting passion and innovation into Azure SQL as Microsoft Program Manager for Azure SQL Hyperscale, helping developers to re-discover SQL, which is now almost everywhere, and take advantage of all its amazing power!
Contact: http://tipsandtrickssqlserver.blogspot.com
Luca Ferrari lavora in Microsoft Italia come PFE Engineer. Lavora con Sql server dalla versione 2000 ed ha seguito con attenzione tutte le evoluzioni del prodotto. Si occupa principalmente di: MPP SMP Design Troubleshooting Performance Tuning SSIS e SSRS, Azure SQL Database, Azure DataWarehouse.
Contact: http://blogs.solidq.com/dsarka/Home.aspx
Dejan Sarka, MCT and Data Platform MVP, is an independent trainer and consultant that focuses on development of database and business intelligence applications. Besides projects, he spends about half of his time on training and mentoring. He is the founder of the Slovenian SQL Server and .NET Users Group. Dejan Sarka is the main author or co-author of eighteen books about databases and SQL Server. Dejan Sarka has also developed many courses and seminars for Microsoft, Radacad, SolidQ, and Pluralsight.
I currently work as solution. I’m project leader in Microsoft and non Microsoft based solution involving technologies such as databases, active directory, virtualization and themes as disaster recovery, business continuity and cloud services. I’ve designed solution for some of the biggest firms in Italy both in the public and in the private sector. I’ve a wide knowledge of technologies involved in the IT world from the network, where I’ve a deep knowledge of
Contact: http://blogs.solidq.com/dsarka/Home.aspx
Dejan Sarka, MCT and Data Platform MVP, is an independent trainer and consultant that focuses on development of database and business intelligence applications. Besides projects, he spends about half of his time on training and mentoring. He is the founder of the Slovenian SQL Server and .NET Users Group. Dejan Sarka is the main author or co-author of eighteen books about databases and SQL Server. Dejan Sarka has also developed many courses and seminars for Microsoft, Radacad, SolidQ, and Pluralsight.
LinkedIn: http://www.linkedin.com/in/davidemauri
Contact: https://medium.com/@mauridb
Data Platform MVP for almost 12 years, I love Data and Database in all their forms. Developer for passion (C# and Python), I've been working in the IT field since 1997. My focus has been databases and performance tuning since the start, focusing both on transactional and analytical workloads. I worked for more than 10 years on Business Intelligence and Data Warehousing, then moved to IoT and Big Data for a while. Now back to database space, injecting passion and innovation into Azure SQL as Microsoft Program Manager for Azure SQL Hyperscale, helping developers to re-discover SQL, which is now almost everywhere, and take advantage of all its amazing power!
Contact: http://tipsandtrickssqlserver.blogspot.com
Luca Ferrari lavora in Microsoft Italia come PFE Engineer. Lavora con Sql server dalla versione 2000 ed ha seguito con attenzione tutte le evoluzioni del prodotto. Si occupa principalmente di: MPP SMP Design Troubleshooting Performance Tuning SSIS e SSRS, Azure SQL Database, Azure DataWarehouse.
LinkedIn: https://it.linkedin.com/in/saveriolorenzini
Saverio Lorenzini is a Principal Engineer at the Premier Field Engineering division in Microsoft Italy. He has a master degree in Computer Science Engineering from University of Pisa, and joined Microsoft in 1998, where he started working on SQL Server from version 7.0. With more than 20 years of experience on SQL Server, he works on customer projects, focusing on performance tuning and optimization, solution development. He recently designed and developed SQL Monitoring Dashboard, a monitoring and performance analysis Web solution for SQL Server farms, sold by Microsoft Italy to Premier customers. He is a speaker at Microsoft events (TechReady), SQLPASS Summit and at PASS SQLSaturday community conferences, where he is an active member.
Contact: http://dennymichael.net
.NET developer and software architect, specialized in the development of highly scalable applications. Recognized as Microsoft Visual C# MVP in 2014. I like to contribute in open-source projects, and in the same way I like to help people on them development crusade, teaching what I've learned from my own experiences.
LinkedIn: https://www.linkedin.com/in/abenedetti
Contact: http://blogs.technet.com/b/andrea_benedetti_blog/
Andrea Benedetti è Architect SQL Server BI nella divisione Servizi di Microsoft Italia dove ha la responsabilità dei progetti enterprise su tutta la data platform. SQL Server MVP dal 2004 a fine 2011, lavora con SQL Server fin dalla versione 6.5, è intervenuto come relatore in numerosi workshop, conferenze, seminari e roadshow. Appassionato di alpinismo (in solitaria) cura un blog in italiano. Scrive su Twitter come @anbenedetti.
LinkedIn: https://it.linkedin.com/in/marcoparenzan
Contact: https://www.linkedin.com/in/marcoparenzan/
Marco Parenzan is an independent Cloud and IoT Architect and .NET Developer. He has been awarded as a MVP on Microsoft Azure since 2014. He is a speaker in major community events in Italy about Azure and .NET development. He is a community lead for 1nn0va, an official Microsoft community in Pordenone, Italy. He has written a book on Azure in 2016. He loves developing retrogames and reading comix. Marco Parenzan è professionista per le architetture Cloud e IoT e lo sviluppo in .NET. Ha ricevuto il titolo di MVP su Microsoft Azure dal 2014. È uno speaker in Italia su Azure e lo sviluppo di .NET. E' un community lead per 1nn0va, una community ufficiale Microsoft a Pordenone, in Italia. Ha scritto un libro su Azure nel 2016.
LinkedIn: https://it.linkedin.com/in/suxstellino
Contact: http://suxstellino.wordpress.com/
Alessandro lavora nell#39;IT dal 2000. La passione per l#39;informatica nasce ad 11 anni partendo dal C64 ed oggi #232; CTO di Engage IT Services srl dove si occupa della gestione del team di sviluppo e del contatto tecnico con i clienti. Nel team si occupa anche dell#39;amministrazione e del ciclo di vita dei database. E’ MVP SQL Server dal 2008, #232; anche Microsoft Certified Professional, ed oltre ad essere speaker a diversi eventi Microsoft, segue due blog e risponde sui forum di StackOverflow e MSDN
LinkedIn: http://it.linkedin.com/pub/gianluca-sartori/23/50b/a12
Contact: http://spaghettidba.com
Gianluca Sartori is a Data Platform MVP, independent consultant and performance tuning specialist. He has been working in the software industry since 1999 and has been working with SQL Server ever since. He also works as a SQL Server trainer and in his spare time he writes technical articles and participates the SQL Server forums. Gianluca enjoys presenting SQL Server topics at conferences in Europe and in Italy in particular. He is currently working as lead DBA at a famous Formula 1 team.
LinkedIn: https://it.linkedin.com/in/marcopozzan
Contact: http://www.marcopozzan.it
Consultant and trainer in business intelligence, analytics and data mining on Methode . Teacher for ITS courses of data warehouse at the University of Pordenone.
Time ago (a lot of time ago…) an excellent IT pro brought me with him and became my Mentor in the IT wonderland…it was a world full of mainframes… I met the Relational theory when there were no commercial RDBMS, and I was spellbound by that “magic”. When Microsoft appeared in the IT market, I felt finally which trek I had to follow. I’m still walking on such road, and in my rucksack I’ve ben putting some other stuff (like SharePoint, for example). My sole regret: I’ve left the College to consecrate all my time to my job; curiously, since then, I’ve never stop learning…
LinkedIn: http://www.linkedin.com/in/sgovoni
Contact: https://mvp.microsoft.com/it-it/PublicProfile/4029181?fullName=Sergio%20Govoni
Since 1999 Sergio Govoni has been a software developer; in 2000 he got a degree in Computer Science at "Università degli Studi" in Ferrara (Italy). He has worked for over 18 years in Centro Software, a software house that produces the best ERP for manufacturing companies that are export oriented. Now, he manages the development product team and he is constantly involved on several team projects, where he focues his attention on the architecture and the mission-critical technical details. Since 2016 he is the vice president of the UGISS (www.ugiss.org). For the provided help to technical communities and for sharing his own experience, since 2010 he has received the Microsoft Data Platform MVP award.
The following is a list of sponsors that helped fund the event.


Changelog
2.0.1 (2018-10-31)
Bug Fixes
- releasing: moved travis deploy step into semantic release (c1a3415)
2.0.0 (2018-10-31)
- semantic-release: missing setup (f100c3e)
- pkg: migrate to cross-SDK UML diagram (52a78a2)
- pkg: rewrite from scratch to align the structure of our SDKs; downward incompatible
All notable changes to this project will be documented in this file. Dates are displayed in UTC.


Mary L. Cox
Mary L. Cox, age 89, of Madison, passed away on Thursday, Oct. 31, 2019, at Oak Park Place.
She was born on July 30, 1930, in Greenway Township, Minn., the daughter of Stephen and Mary (Javor) Furlong. Mary graduated from Greenway Township High School in 1948. She married Robert Cox on Oct. 4, 1950, at St. Mary's Catholic Church, Marble, Minn.
Mary lived in Grand Rapids, Minn., 1966 - 2014. She worked for the U.S. Government, New York Life Insurance Co., Mesaba Aviation and Blandin Paper Company, retiring in 1991. Mary was a member of St. Joseph's Catholic Church in Grand Rapids and the YMCA-Bruce Bauer Senior Center in Grand Rapids. She was also a member of a number of organizations including the American Legion Auxiliary Unit No. 60, IMC Hospital Auxiliary, RSVP Grand Rapids and a lifetime member of the VFW Auxiliary.
Mary is survived by her children, Stephen (Sherry) Cox, Julie Selner; Mary (John) Beaty, and Monica (Peter) Bovis; five grandchildren; and three great-grandchildren. She was preceded in death by her husband, Robert; parents; and 11 siblings.
A private Catholic Mass of Christian Burial for Mary was held Nov. 9, 2019. A memorial service and internment will take place at a later date, in Grand Rapids, Minn.
Memorials may be made to St. Joseph Catholic Church, 325 SW 21st Street, Grand Rapids, MN 55744.
Online condolences may be made at www.gundersonfh.com.
Gunderson East
Funeral & Cremation Care
5203 Monona Drive
(608) 221-5420


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If you like your flavors traditional, Monsieur Pigeon's classic marshmallows won't disappoint. With luxuriously Velvety Vanilla, Charming Chocolate, and Sumptuous Strawberry, the favorites you love are treated with the respect and dignity they deserve!
Take your tastebuds for a gentle stroll through an English garden filled with Monsieur Pigeon's beautifully fragrant Flower Series marshmallows. With three sweetly floral options: Elderberry, Rose Petal, and Chrysanthemum - all edible and all naturally flavored - they will have you dreaming of butterflies and birdsong in no time.
Ahoy! If you long for a taste of organic sea salt mixed in with your sweet Monsieur Pigeon marshmallows, look no further than our Salt o' the Sea range. Featuring two delicious flavors: Salted Caramel and Cashew Butter, this sweetly salty duo will expand your taste horizons.


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Storing items in the cache is simple. Simply call the put method on the Cache class:
Cache::put('name', 'Taylor', 10);
The first parameter is the key to the cache item. You will use this key to retrieve the item from the cache. The second parameter is the value of the item. The third parameter is the number of minutes you want the item to be cached.
You may also cache something "forever" if you do not want the cache to expire:
Cache::forever('name', 'Taylor');
Note: It is not necessary to serialize objects when storing them in the cache.
Retrieving items from the cache is even more simple than storing them. It is done using the get method. Just mention the key of the item you wish to retrieve:
$name = Cache::get('name');
By default, NULL will be returned if the cached item has expired or does not exist. However, you may pass a different default value as a second parameter to the method:
$name = Cache::get('name', 'Fred');
Now, "Fred" will be returned if the "name" cache item has expired or does not exist.
What if you need a value from your database if a cache item doesn't exist? The solution is simple. You can pass a closure into the get method as a default value. The closure will only be executed if the cached item doesn't exist:
$users = Cache::get('count', function() {return DB::table('users')->count();});
Let's take this example a step further. Imagine you want to retrieve the number of registered users for your application; however, if the value is not cached, you want to store the default value in the cache using the remember method:
$users = Cache::remember('count', function() {return DB::table('users')->count();}, 5);
Let's talk through that example. If the count item exists in the cache, it will be returned. If it doesn't exist, the result of the closure will be stored in the cache for five minutes and be returned by the method. Slick, huh?
Laravel even gives you a simple way to determine if a cached item exists using the has method:
if (Cache::has('name'))
{
$name = Cache::get('name');
}
Need to get rid of a cached item? No problem. Just mention the name of the item to the forget method:
Cache::forget('name');


1.0 Initial Player Values
During the first season of the Sandbox league, all players were drafted using a standard Auction draft. Each team owner was given a notional $315 to spend on their team rosters (originally consisting of 25 roster positions); this was based on ESPN’s standard value of $12.50 per roster position. Based on the results of this auction, all players were assigned a salary cap value.
2.0 Retained Player Values
All player salaries escalate by 10% every year
3.0 Drafting
3.1 Salary Cap
All team owners have $175 for the next year’s salary cap. Using the player’s retained value, a team owner can keep as many players as desired, as long as the cumulative value of the players is less than $175. A team owner can keep any player that was on the team’s roster at the end of the previous season, or has been traded prior to the salary cap deadline.
If a team owner chooses to spend less than the $175 for the salary cap, then any remaining budget goes towards the auction draft (described below).
Team owners retain all trade rights to any player on their roster up until the salary cap rosters have been submitted. The deadline for submitting salary cap rosters will be dependent on the draft date set by the league (each year), and will be communicated to all team owners. Players may be traded for rookie draft picks, other players, salary cap budget, or auction budget. If players are traded, the retained value of the player goes to the receiving team. Trades are only official when confirmed by the league commissioner. Unlike in-season trades, off-season trades do not require league approval.
3.2 Rookie Drafting
Prior to the annual auction draft, each year there will be a rookie draft. The rookie draft allows for teams to obtain high value prospects at low initial cost. During the rookie draft, the draft order proceeds through the reverse order of the team placing from the previous season. Thus, the 12th place team has the 1st draft pick, the 11th place team has the 2nd draft pick, and so on.
There will be two rounds of the rookie draft, with the draft order resetting each round. Therefore, the 12th place team will have the 1st draft pick in each round.
Rookies will be valued as $15 for a 1st round pick, and $10 for a second round pick. In subsequent years, rookies are valued in the same manner as other players, using the same escalation rates based on positional performance.
3.3 Auction
The auction draft begins after the rookie draft, and includes any player that is not retained by a team through the salary cap or rookie draft. Once the auction draft starts, all player values are reset to zero.
During the auction draft, the draft order proceeds through the reverse order of the team placing from the previous season. Thus, the 12th place team has the 1st draft pick, the 11th place team has the 2nd draft pick, and so on. For each draft pick, the team owner nominates a player to be auctioned, from the available pool of players. Once nominated, all team owners can bid on the player. The team owner bidding the highest (and has the available budget) wins the player. Once selected, the auction value becomes the player’s new salary cap value.
During the auction draft, team owners start with a notional $125. Additionally, if the team owner spent less than $175 under the salary cap, then the difference is added to the available auction draft budget. For example, if a team owner only spends $100 in the salary cap, then the remaining $75 is added to the $125, so the team owner has $200 for the auction.
4.0 Restricted Free Agents
Starting in Season 4 of the league, any player that has been retained by a team for three years in a row will become a Restricted Free Agent (RFA). Team owners can retain RFAs for their retained value; however, other team owners wishing to retain them can bid on RFAs. For example, if a team owner has held Adrian Peterson for the past three years, another team owner can bid on Adrian Peterson to retain the player rights. In this situation, the original team owner can match the bid; if matched, the original team owner retains the player for the new value. If the original team owner does not match the bid, then the player transfers to the new owner for the new value, which goes against the salary cap.
5.0 Additional Details
Rosters consist of 21 players with the following starter positional breakout:
QB (2), WR (3), RB (2), TE (1), W/R (1), K (1), IDP (5), Bench (6)
There are no limits on the number of players a team owner can have at one position.
All scoring is subject to Yahoo Fantasy Football scoring. Specific point scoring can be found in the Appendix. Yahoo allows for both negative and fractional point scoring.
The regular season ends Week 13. Playoffs are Weeks 14, 15, and 16. All games are scored head-to-head, and division winners are seeded higher playoff positions. See Yahoo for official rules.
6.0 Dues & Winnings
League buy-in is set at $60 per team, due prior to the draft.
The payout of winnings is as follows:
1. League Champion: $360
2. 2nd Place: $180
3. 3rd Place: $90
4. Regular Season Winner: $90


BVNDIT drops special performance video for 'Dumb' as promised
by olmalBVNDIT has dropped its special performance video for 'Dumb' as the group's M/V for the song hits 3M views on YouTube.
'Dumb' is an upbeat Latin pop song about sending messages to someone who doesn't seem to get the signals, and it's the title track of BVNDIT's first mini-album 'BE!'. The M/V now has over 4.2M views on YouTube.
Check out the video above and congratulations to BVNDIT!


|
home | news | discuss | issues | license LURE: sym |
|
|---|---|
Incrementally watch a stream of<EMAIL_ADDRESS>Use this code to incrementally monitor the frequency counts and entropy of of a stream of numbers. Simple usage:
For those who like less typing:
|
local the=require "config"
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CreationCreate a new watcher. |
local function create()
return {n=0, nk=0,counts={}, most=0,mode=nil,_ent=nil } end
|
UpdateUpdate a watcher |
local function update(i,x)
if x ~= the.ignore then
i._ent = nil
i.n = i.n + 1
if not i.counts[x] then
i.nk = i.nk + 1
i.counts[x] = 0 end
local seen = i.counts[x] + 1
i.counts[x] = seen
if seen > i.most then
i.most, i.mode = seen,x end end end
local function about(i)
local syms=0
for _,__ in pairs(i.counts) do syms=syms+1 end
return {{pos=i.pos}, {txt=i.txt}, {n=i.n},
{mode=i.mode},{most=i.most},{syms=syms}} end
|
Handy short cout |
local function watch()
local i = create()
return i, function (x) return update(i,x) end end
|
UpdatesUpdate a watcher
|
local function updates(lst,f,i)
i = i or create()
f = f or function (z) return z end
for _,one in pairs(lst) do
update(i, f(one)) end
return i end
|
DistanceUsing a watcher Returns two numbers |
local function distance(i,j,k)
local no = the.ignore
if j==no and k==no then return 0,0
elseif j == the.ignore then return 1,1
elseif k == the.ignore then return 1,1
elseif j==k then return 0,1
else return 1,1
end
end
|
Normalization |
local function norm(i,x)
return x end
local function like(i,x,prior)
return ((i.counts[x] or 0) + the.nb.m*prior) /
(i.n + the.nb.m) end
|
Discretizing a symnolJust returns that symbol.
If this |
local function discretize(i,x)
local r
if x==the.ignore then return x end
if not i.bins then return x end
for _,b in pairs(i.bins) do
r = b.label
if x<=b.most then break end end
return r end
|
Entropy |
|
|
Takes a little time to calculate. So we cache the
result (and note that |
local function ent(i)
if i._ent == nil then
local e = 0
for _,f in pairs(i.counts) do
e = e - (f/i.n) * math.log((f/i.n), 2)
end
i._ent = e
end
return i._ent end
|
KENeeded for Fayyad-Irrani. Is this even used? |
local function ke(i)
local e,k = 0,0
for _,f in pairs(i.counts) do
e = e + (f/i.n) * math.log((f/i.n), 2)
k = k + 1
end
e = -1*e
return k,e,k*e end
|
External Interface |
return {create=create, update=update, updates=updates,
distance=distance,about=about,like=like,
ent=ent, spread=ent, discretize=discretize,
ke=ke,watch=watch}
|
LegalLURE, Copyright (c) 2017, Tim Menzies All rights reserved, BSD 3-Clause License Redistribution and use in source and binary forms, with or without modification, are permitted provided that the following conditions are met:
THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. |
|


Our Glorious Thermometer!!
Current Temperature:
Increase
Decrease
Reset
Power Saving Mode:
Change Power Saving Mode
Energy Usage:


Highway Patrol: 5 die in wrong-way crash in Ohio
by EndPlayST. CLAIRSVILLE, Ohio (AP) - The State Highway Patrol says five adults have died in a wrong-way crash in Ohio.
The patrol's St. Clairsville post in eastern Ohio's Belmont County says a car traveling southbound in the northbound lanes of State Route 7 struck an SUV traveling north around 11 p.m. Saturday.
The patrol statement Sunday said the car's driver, 22-year-old Caleb Ratcliffe, and his 25-year-old passenger, Sierra Mattson, both of Wheeling, West Virginia, died at the scene.
Troopers say SUV driver, 42-year-old Autumn Day, of Amsterdam, Ohio, and two passengers also died. Those passengers were identified as 21-year-old Sarah Billingsley, of Adena, and 30-year-old Hugh Lasater, of Dillonvale. A third passenger in the SUV received injuries that weren't life-threatening.
The patrol says the crash remains under investigation.


For example, with the below data, if you wanted to summarize the total units by region:
Region,Color,Units,Sales
West,Red,1,11.00
South,Blue,8,96.00
West,Green,2,26.00
North,Blue,7,84.00
North,Green,8,104.00
South,Red,2,22.00
East,Blue,5,60.00
West,Green,2,26.00
You would do:
seesv:seesv -summary region units "" sum -p summary.csv
Which gives:
Region,Units sum
West,683.0
South,399.0
North,672.0
East,294.0
If you wanted to get the sum and average of the sales:
seesv:seesv -summary region sales "" sum,avg -p summary.csv
You'd get:
Region,Sales sum,Sales avg
West,8873.0,56.51592356687898
South,5044.0,54.236559139784944
North,8709.0,63.56934306569343
East,3730.0,57.38461538461539
The carry over column just gets the first value for the key column. So, if you wanted to include the color column do:
seesv:seesv -summary region sales color sum,avg -p summary.csv
Which gives:
Region,Sales sum,Sales avg,Color
West,8873.0,56.51592356687898,Red
South,5044.0,54.236559139784944,Blue
North,8709.0,63.56934306569343,Blue
East,3730.0,57.38461538461539,Blue


--- title: Using Netlogo for Disease Modeling author: admin date: '2020-03-15' slug: using-netlogo-for-disease-modeling categories: [] tags: - agent-based modelling - netlogo - youtube - covid19 subtitle: '' summary: '' math: true authors: [] lastmod: '2020-04-15T02:05:01+01:00' featured: no image: caption: '' focal_point: '' preview_only: no projects: [] ---
Since the term “Simulation” or modeling was used frequently in the media recently to get an understanding of the spread of covid-19, I have created an instructive agent-based model for the simulation of disease spread and limited hospital capacities. Since this model is only “instructive” for the purpose of understanding modeling, I have also created a video to explain the model and some implications due to the simplicity of the design.
Please watch the video first, before playing around with the simulation: English Version {{% youtube "BSJ6r715gSk" %}}
German Version {{% youtube "2pqIvgrDcTA" %}}
You can test the Simulation yourself here: http://bit.ly/NLinfection
If you are interested in seeing the current case numbers in comparison to other countries, have a look at this shiny application that I made: https://andrecalerovaldez.shinyapps.io/CovidTimeSeries/


The key operations in irotect are performed through SMS Commands. The specific features are triggered when the mobile phone recieves a specific command as SMS body which are then processed and presented accordingly. The currently available SMS commands are:
Frequently Asked Questions
Why won't Android let me uninstall Irotect ?
It's probably because Irotect is set as an administrator in the android settings. It is used as an security measure to prevent the intruder from uninstalling Irotect from home screen.
You can disable it by going to Android Settings / Location & Security / Device Administration
.
Why isn't Irotect tracking my location ?
Please make sure your GPS is turned on and Irotect has permissions to access GPS. If still the app is not able to return your GPS cordinates feel free to contact the Developer.
How can i send the SMS commands ?
This is very easy you just have to send the sms command(in message body one at a time) to the phone number currently activated in the device.
Note -
- The SMS commands are triggered only if the SMS is sent from one of the trusted contacts saved inside the app.
- The SMS commands are case sensitive
- the SMS commands consist of only letters and underscore "_" character
How can I contact the developer ?
There is a contact email given at Menu / About
. In general, this is intended for order and validation help, which is often confidential, and other private issues.
Can Irotect be used from an external SD card ?
Prior to Android 6.0, that is not possible, even using apps2SD.
Does Irotect need constant internet connection ?
No, Irotect just needs internet connection on first app start to download basic resources needed for the proper functioning of the app. '#email_intruder_selfie' command is the only command which needs internet connection but just for a couple of seconds.
Can Irotect locate my device if the mobile is switched off ?
It is impossible for any app to run when the device is switched off.
How can i use the Location Coordinates returned by Irotect ?
You can search the coordinates in Google Maps app or website. click here to know more.
Why isn't Irotect availabe in Google Play Store ?
The app is currently under beta development so we have not considered adding it to google play store but we are sure in near future the app will be made available to users in google play store.


Practical Machine Learning
with Python
by John Paul Ada
Build an emotion detection program from (almost) scratch.
Who am I?
John Paul Ada
Full Stack Web & Mobile Developer @ GAPLabs
BA Psychology Graduate (UP Tacloban)
My Tech Activities
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Tech Talks
I share what I know on a variety of topics at tech meetups (PD, Dev8, Code District, etc.) and in schools.
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Tech Blogging
I blog about tech and other things @ Medium and The Practical Dev.
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Tech Podcasting
My podcast is called the Random Programmer and is currently in episode 3. You can listen to it in Anchor, Google Play Music, Apple Podcasts, Pocket Casts, and Overcast.
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Project Development
I do personal projects from time to time. You can see them at Github.
My Machine Learning Process
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State your goal
As with any scientific process, there must be a goal in mind.
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Get good data
Machine Learning is all about data. You need to get good data to get good results.
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Prepare the data
Sometimes the data you get is not yet usable, so you have to process it to prepare it for use.
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Feature research
Research about which features of the thing being learned is best and can be used.
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Feature extraction and preprocessing
Actually get the features from the data and preprocess the data to prepare for processing by the machine learning algorithm.
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Algorithm research & selection
Research and choose the algorithms you can use for the problem.
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Train & evaluate model
Train a mathematical model with the chosen algorithm and the gathered data and evaluate it to see if it achieves your goal.
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Save & use model
Save the model and use it for later.

Manual Install
- Install Python
- Install Pip
- Install Numpy
- Install scikit-learn
- Install OpenCV
- Install dlib
- Install imutils
- Run
git clone https://github.com/johnpaulada/emotion-detection-docker.git
in your console - Run
cd emotion-detection-py
in your console - Run
cd app
in your console - You're all set!
The Goal
The goal here is to create a program that can read the emotions of faces present in images.
We don't have to tell a machine what makes a happy face or a sad face.
It can figure it out on its own from the data given to it.
Because of that we need to get some data.
Good Data
Good data is needed to get good results in Machine Learning.
In this case we need to get a wide variety of faces and emotions. This is so we can avoid overfitting.
This makes sure that our program can recognize emotion from a face it has not seen before.
For this problem, I downloaded a bunch of different photos from Google that shows 4 types of emotions:
Angry, Sad, Neutral, and Happy
Feature Research
To help a machine learn well, we need to get the relevant features of our data. When we say features, they're literally the features of, for example, a face. An example feature would be the color of the eyes, skin complexion, etc. Not all features are relevant. Of course, the color of the eyes has nothing to do with our emotions. In order to get the relevant features, we need to ask the right questions.
How do I know what a person is feeling from their face?
Chosen Features
I chose to get the lines between points in the lips, eyes, and eyebrows. I then get the lengths and angles of these lines.
Feature Extraction
To get these points, I use a library called dlib
and a custom face shape descriptor.
Algorithm Research
For this problem, my criteria for algorithm selection was that it has to be a classifcation algorithm that is able to learn complicated relationships, quick learning time, and has good accuracy. Fortunately, Microsoft has a nice little cheatsheet to help us with that.
Preprocessing
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Extracted Data
The data extracted from the images, i.e. line lengths and line angles.
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Normalization
Normalization transforms the features into numbers that are between 0 and 1 or between -1 and 1. This makes it easier for the program to process the numbers because they're in a predictable and computer-friendly range.
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Feature Selection
Only useful features that contribute greatly to the detection are selected, according to previous data. This allows for better training and prediction performance and accuracy because the program only processes features that are useful and forgets the less useful ones.
Training and Evaluation
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Algorithm Selection
After doing research, a collection of algorithms deemed most suited to the job are selected.
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Hyperparameter Tuning
Each algorithm has parameters to configure the algorithm. They are also known as hyperparameters.
In order to get the best results, the best parameters for the given problem should be selected. -
Training
After the optimal hyperparameters have been selected, we're ready to train the model.
In this step, the algorithm creates the classifier model we can use for prediction. -
Evaluation
The generated classifier model is then evaluated.
The most used metric for determining the quality of the model is accuracy. This measures how accurate it is in guessing the emotion, expressed in percentage.
Algorithm Selection
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Extremely Randomized Trees
An ensemble of decision trees with really high randomness values when doing the splits. They are usually more performant than the rest of the tree-based ensembles. I found this to be the best algorithm for this problem.
Accuracy: ~75% | 200 estimators -
K-Nearest Neighbors
This algorithm memorizes the training data space. For prediction, it places the data in that space. Then the data's k-nearest neighbors vote on what class it is. k is the user-defined neighbors, e.g. k=5 is 5 neighbors.
Accuracy: ~70% | k=5 -
AdaBoost
AdaBoost creates a weak learner and makes a better version when it makes mistakes until it reaches a certain user-defined point.
Accuracy: ~60% | 500 estimators -
Gradient Boosted Trees
The concept is similar to AdaBoost but the method of checking whether it's getting better (loss function) is different. Said to be better than AdaBoost. This was a close contender to Extremely Randomized Trees.
Accuracy: ~70% | 100 estimators
Saving and using a model
You can save models for later use.
joblib.dump(model, location)
As you can expect, we can also load models.
model = joblib.load(location)
After loading, we can now use the model.
prediction = model.predict(data)
DEMO
Limitations and Improvements
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Lack of better features
Better features like face meshes, contours, etc. would help the algorithm better understand how a certain facial expression is defined.
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Lack of training samples
More samples will help increase the accuracy by giving the algorithm a better chance to figure out the pattern from your data.
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Lack of data variety
Data with a lot of different samples of emotions will allow us to avoid overfitting, which will help us better predict a face we have not encountered before.
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Serial processing
Parallel processing of all functions will make the program significantly faster.
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Not enough processing power
Better processing power will allow us to use better algorithms like Convolutional Neural Networks.


Everything you need to know about Ballarat's springfest Market Sunday
by Jolyon AttwoollWhat is it?
One of Ballarat's best known spring events, this takes place every year with around 530 stalls, including food, crafts, art and music, and much more. There are events and activities for all ages.
When is it?
It runs from 10am to 4pm on Lake Wendouree this Sunday (November 24).
Where is it?
Spread six kilometres all the way around the shores of Lake Wendouree.
What's the weather going to be like?
It looks like we are in luck. The weather looks like it's going to be kind to stall-keepers and the general public alike. At the moment the Bureau of Meteorology is predicting a cool start, working up to a high of 23C, with light winds during the day. Pretty much the ideal weather to be strolling around the stalls around Lake Wendouree.
See the latest Ballarat weather here.
Where can I park?
There should be room to park at Victoria Park across Sturt Street, where there will be shuttle-buses taking people to the lake. You can also cross Sturt Street and find your own way across. Google Maps estimates a walk of around seven minutes from the car park to the lake's shore. You can also park at North Gardens Reserve.
Note that traffic around the lake will only go in one direction (clockwise), with the inside lane around the lake blocked to traffic.
What should I do?
Some of the many events and stalls to watch out for include:
The Battle of Ballarat
Watch a test of strength between pairs of strongmen / strong-women.
Vintage car display
Some of the cars on display here are more than 100 years old. The end of the Ballarat Rod Run will take place around the lake, with more than 100 vehicles due for a spectacular parade at 1pm.
Culinary treats
Visit the Tasting Temptations stalls, which included a mix of beers and wines. You can find them to the south-west of the lake (near Loreto College).
A spring garden
Join Grampians Central West Waste and Resource Recovery (with Captain Compost on hand to talk about spring gardening),
Sportz Zone
Children can try new activities as well as find out more about the Western Bulldogs.
Petstock Corner
There will be a puppy school as well as dog grooming areas, and a chance to meet animal rescue teams.
Meet a Masterchef
Tim Bone, the Ballarat-based Masterchef, will be in attendance. Try one of his delicious toasties.
Go dragon boating
Try Dragon boating for free, with the chance to go out on the water at 11am, 1pm and 3pm. Note that you need to be aged 12 or above to give the paddling a go.
See the full list of everything that's going on.
For the full list of all the Ballarat springfest stalls see.
Is there a map?
Yes. See where all the different stalls and activities are here. http://ballaratspringfest.com.au/wp-content/uploads/2019/11/SpringFest-Map.pdf
Anything else?
Go to the official site. Enjoy!


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