Elon Musk announce launch date of Tesla Cybertruck
by SururToday on twitter Elon Musk announced the launch date of the Tesla Cybertruck.
Musk has given a lot of hints about the all-important design of the long-awaited light truck, such that it will look like an “armoured personnel carrier from the future”.
He has also said it will feature a 400-500 mile range, dual-motor all-wheel-drive drive train and dynamic suspension, and “300,000 lbs of towing capacity.”
Today he revealed the launch date of the Tesla Cybertruck will be on the 21st November in Los Angeles near the SpaceX rocket factory.
Musk had earlier warned that the design will be divisive, saying it will a ‘really futuristic-like cyberpunk Blade Runner’ that ‘won’t be for everyone.’ Consistent with the Blade Runner theme, the date the truck is unveiled (November 2019) was also the date the science fiction film Blade Runner was set also.
Light trucks are one of the most popular car categories in USA, and Musk has said his version will cost less than $50,000 and “be better than a Ford F150.”
Musk promised their truck would be “a better sports car than a standard Porsche 911”, as well as a “better truck than a Ford F-150 in terms of truck-like functionality.”
It remains to be seen if the vehicle will measure up to all the expectations, but I suspect even many fans are rather sceptical.
via: Electrek


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See:
Description
| Interface Summary | |
| Gene | Genes represent the discrete components of a potential solution (the Chromosome). |
| GeneticOperator | A GeneticOperator represents an operation that takes place on a population of Chromosomes during the evolution process. |
| NaturalSelector | Natural selectors are responsible for actually selecting a specified number of Chromosome specimens from a population, using the fitness values as a guide. |
| RandomGenerator | The RandomGenerator interface provides an abstraction for the random number implementation so that more rigorous or alternative implementations can be provided as desired. |
| Class Summary | |
| BulkFitnessFunction | Bulk fitness functions are used to determine how optimal a group of solutions are relative to each other. |
| Chromosome | Chromosomes represent potential solutions and consist of a fixed-length collection of genes. |
| Configuration | The Configuration class represents the current configuration of plugins and flags necessary to execute the genetic algorithm (such as fitness function, natural selector, genetic operators, and so on). |
| FitnessFunction | Fitness functions are used to determine how optimal a particular solution is relative to other solutions. |
| Genotype | Genotypes are fixed-length populations of chromosomes. |
| Exception Summary | |
| InvalidConfigurationException | This exception is typically thrown when an invalid value has been passed to a Configuration object, an attempt is made to lock a Configuration object before all required settings have been provided, or an attempt is made to alter a setting in a Configuration object after it has been successfully locked. |
| UnsupportedRepresentationException | This exception is typically thrown when the setValueFromPersistentRepresentation() method of a Gene class is unable to process the string representation it has been given, either because that representation is not supported by that Gene implementation or because the representation is corrupt. |
Houses the interfaces and classes that make up the core of JGAP.
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| PREV PACKAGE NEXT PACKAGE | FRAMES NO FRAMES |


This demo page displays some demos made with Vue GWT. Vue GWT integrates Vue.js with GWT 2.8 using JsInterop.
To get more details and get started take a look at our Documentation.
Vue GWT let your write Vue.js with Java controllers. Bellow you will see a simple example. Try clicking on the buttons to see the reactions.
This example is mandatory when showing a new front-end framework, so here is a Todo List
written with Vue GWT.
This Todo list is composed of 2 Components:
TodoListComponent that manage the list of todos and
TodoComponent that displays a single Todo.


In Association With
The Annual Techno-Management Fest of
IIT Kharagpur
Kharagpur RoboSoccer Students' Group
Code-O-Soccer is a coding competition conducted by Kharagpur RoboSoccer Students' Group. This is a first of its kind competition in India where soccer strategies brewing within one's mind are implemented on robots.
The aim of the event is to introduce the concept of autonomous soccer playing robots to students and motivate them to create a challenging strategy using our API for a THREE BY THREE robot match.
[User]$
Code-O-Soccer is one of a kind competetion in India. You can get a taste of what Simurosot in RoboWorld Cup is like. You get to battle your way up through the best in the country, under the supervision of the team that won Bronze in Mirosot 2015.
Additionally, there are prizes worth Rs. 50,000 up for grabs!
Just scroll down
Nothing to do here, continue scrolling.
The end is near, I promise!
Ok, ok, just one more scroll!
Feel free to check my other pens and follow me on Twitter


Data which is not numerical is called qualitative (or categorical) data. Qualitative data can include things like names, categories of objects or people (which is where the other name, categorical, comes from), or different things which are being compared.
in-context


FroYo XPress has grown from a few friends to a diverse team of Purdue’s most skilled, passionate, and dedicated students. Our new team members have been a constant source of innovation while working together to carry out the companies core values.
CEO. Computer Engineering. Indiana.
CMO. Mechanical Engineering. New Jersey.
Software Integration. Computer Engineering. New Jersey.
Mechanical Design. Mechanical Engineering. Indiana.
Mechanical Design. Mechanical Engineering. Illinois.
Content Generation. Industrial Engineering. California.
Software Development. Computer Science. Missouri.
Co-Founder and Advisor. Deloitte BTA. Indiana.
Co-Founder and Advisor. Ford Data Scientist. Michigan.


Drag me from here (external)
I'm in a draggable in a different DOM tree (not draggable directly)
This sample show how to drag an object from an handle that is in a different DOM tree structure.


Thank you so much for your coffee ❤
{{code1}}
{{code2}}
| Name | Type | Default value | Description |
|---|---|---|---|
|
disabled
|
boolean | null |
If true, the picker is readonly and can't be modified |
|
touchUi
|
boolean | false |
Whether the calendar UI is in touch mode. In touch mode the calendar opens in a dialog rather than a popup and elements have more padding to allow for bigger touch targets. |
|
color
|
ThemePalette | undefined |
Color palette to use on the color picker |
The color-picker use NGX_MAT_COLOR_FORMATS by default.
You can also customize the color format by providing your custom MAT_COLOR_FORMATS in your module.
For example:{{code4}}
@see @angular/material Using a pre-built theme
Add the Material Design icon font to your index.html
{{code5}}
{{code6}}
{{code3}}
{{code7}}


| Package | Description |
|---|---|
| com.github.mathiewz.slick.geom | |
| com.github.mathiewz.slick.svg | |
| com.github.mathiewz.slick.svg.inkscape |
| Modifier and Type | Method and Description |
|---|---|
Transform |
Transform.concatenate(Transform tx)
Update this Transform by concatenating the given Transform to this one.
|
static Transform |
Transform.createRotateTransform(float angle)
Create a new rotation Transform
|
static Transform |
Transform.createRotateTransform(float angle,
float x,
float y)
Create a new rotation Transform around the specified point
|
static Transform |
Transform.createScaleTransform(float xScale,
float yScale)
Create an new scaling Transform
|
static Transform |
Transform.createTranslateTransform(float xOffset,
float yOffset)
Create a new translation Transform
|
| Modifier and Type | Method and Description |
|---|---|
Transform |
Transform.concatenate(Transform tx)
Update this Transform by concatenating the given Transform to this one.
|
abstract Shape |
Shape.transform(Transform transform)
Apply a transformation and return a new shape.
|
Shape |
RoundedRectangle.transform(Transform transform)
Apply a transformation and return a new shape.
|
Shape |
Rectangle.transform(Transform transform)
Apply a transformation and return a new shape.
|
Shape |
Polygon.transform(Transform transform)
Apply a transformation and return a new shape.
|
Shape |
Point.transform(Transform transform) |
Shape |
Path.transform(Transform transform) |
Shape |
MorphShape.transform(Transform transform) |
Shape |
Line.transform(Transform transform) |
Shape |
Ellipse.transform(Transform transform) |
Shape |
Curve.transform(Transform transform) |
| Constructor and Description |
|---|
Transform(Transform other)
Copy a transform
|
Transform(Transform t1,
Transform t2)
Concatanate to transform into one
|
| Modifier and Type | Method and Description |
|---|---|
Transform |
Gradient.getTransform()
Get the transform to apply during this gradient application
|
Transform |
Figure.getTransform()
Get the transform that was applied to the shape given in the SVG
to get it to it's currently state
|
| Modifier and Type | Method and Description |
|---|---|
void |
Loader.loadChildren(org.w3c.dom.Element element,
Transform t)
Load the children of a given element
|
void |
InkscapeLoader.loadChildren(org.w3c.dom.Element element,
Transform t) |
void |
Gradient.setTransform(Transform trans)
Set the transform given for this definition
|
| Constructor and Description |
|---|
Figure(int type,
Shape shape,
NonGeometricData data,
Transform transform)
Create a new figure
|
LinearGradientFill(Shape shape,
Transform trans,
Gradient gradient)
Create a new fill for gradients
|
RadialGradientFill(Shape shape,
Transform trans,
Gradient gradient)
Create a new fill for a radial gradient
|
| Modifier and Type | Method and Description |
|---|---|
void |
UseProcessor.process(Loader loader,
org.w3c.dom.Element element,
Diagram diagram,
Transform transform) |
void |
RectProcessor.process(Loader loader,
org.w3c.dom.Element element,
Diagram diagram,
Transform t) |
void |
PolygonProcessor.process(Loader loader,
org.w3c.dom.Element element,
Diagram diagram,
Transform t) |
void |
PathProcessor.process(Loader loader,
org.w3c.dom.Element element,
Diagram diagram,
Transform t) |
void |
LineProcessor.process(Loader loader,
org.w3c.dom.Element element,
Diagram diagram,
Transform t) |
void |
GroupProcessor.process(Loader loader,
org.w3c.dom.Element element,
Diagram diagram,
Transform t)
O
|
void |
EllipseProcessor.process(Loader loader,
org.w3c.dom.Element element,
Diagram diagram,
Transform t) |
void |
ElementProcessor.process(Loader loader,
org.w3c.dom.Element element,
Diagram diagram,
Transform transform)
Process a document extracting all the elements that the processor is
interested in and producing appropriate diagram components for the
element.
|
void |
DefsProcessor.process(Loader loader,
org.w3c.dom.Element element,
Diagram diagram,
Transform transform) |


I first started listening to podcasts 3 years ago and ever since then I don’t think my car has ever heard AM/FM. If you haven’t jumped on the podcast bandwagon or maybe you’re looking for some new casts’ to throw in the rotation give these a try. I’ve included some of my favorite non-tech podcasts and some favorite episodes that I think my fellow nerds might enjoy below.
99% Invisible
99% Invisible is about all the thought that goes into the things we don’t think about
This is one of my all time favorites. If you’re fascinated by exquisitely crafted stories about some of the unique buildings, products, toys, and art of our time then this show is for you. After listening to this show I found myself looking at objects in my everyday life in a new light. I also now follow the show’s mantra, “Always read the plaque!”
Song Exploder
Where musicians take apart their songs
If you’ve ever stolen music at any point in your life (everyone) then this podcast will make you feel really guilty. This podcast takes one song each episode and deconstructs the songwriting process from the artist’s point of view. I’m amazed at just how much goes into creating music. The podcast does a really good job of picking a variety of artists and musical genres for each episode.
- Weezer
- Ghostface Killah
- Ramin Djawadi (Game of Thrones music)
Radiolab
Where sound illuminates ideas
Hands down, this podcast does one of the best jobs of telling stories in any form of media I’ve found. They do tend to have a scientific lean to their stories which should appeal to the inner nerd in all of us. They’ve been able to invoke the entire range of human emotions in their episodes which I love. No two shows are the same.


I'm a dedicated and hard working final year student currently at Macquarie University with a passion for Web Development and Design. Here, you will be able to see the first of many websites which have been designed by me from scratch, both static and dynamic.
After I graduate by the end of 2016/early 2017, my goal is to join an organisation as a Junior Web Developer where I can build exciting digital experiences and learn new things.
This contact form is currently not working. You can email me at<EMAIL_ADDRESS>while this issue is being attended to.


[ all classes ]
[ org.wikipedia.views ]
Coverage Summary for Class: ViewAnimations (org.wikipedia.views)
| Class | Method, % | Line, % |
|---|---|---|
| ViewAnimations | 0% (0/ 9) | 0% (0/ 24) |
| ViewAnimations$1 | 0% (0/ 2) | 0% (0/ 4) |
| ViewAnimations$2 | 0% (0/ 2) | 0% (0/ 6) |
| ViewAnimations$CancelStateAnimatorListenerAdapter | 0% (0/ 3) | 0% (0/ 3) |
| total | 0% (0/ 16) | 0% (0/ 37) |
1 package org.wikipedia.views;
2
3 import android.animation.Animator;
4 import android.animation.AnimatorListenerAdapter;
5 import android.content.res.Resources;
6 import android.support.annotation.Nullable;
7 import android.view.View;
8
9 /**
10 * Contains convenient methods for performing various animations on Views.
11 */
12 public final class ViewAnimations {
13 private static long SHORT_ANIMATION_DURATION;
14 private static long MEDIUM_ANIMATION_DURATION;
15
16 private ViewAnimations() { }
17
18 public static void init(Resources resources) {
19 SHORT_ANIMATION_DURATION = resources.getInteger(android.R.integer.config_shortAnimTime);
20 MEDIUM_ANIMATION_DURATION = resources.getInteger(android.R.integer.config_mediumAnimTime);
21 }
22
23 /**
24 * Crossfades two views, one of which is assumed to be currently visible
25 * @param curView The view that is currently visible
26 * @param newView The new view that should be faded in
27 */
28 public static void crossFade(View curView, View newView) {
29 fadeIn(newView);
30 fadeOut(curView);
31 }
32
33 /**
34 * Crossfades two views, one of which is assumed to be currently visible
35 * @param curView The view that is currently visible
36 * @param newView The new view that should be faded in
37 * @param runOnComplete Optional Runnable to be run when the animation is complete (may be null).
38 */
39 public static void crossFade(View curView, View newView, Runnable runOnComplete) {
40 fadeIn(newView);
41 fadeOut(curView, runOnComplete);
42 }
43
44 /**
45 * Fades in a view.
46 * @param view The currently invisible view to be faded in
47 */
48 public static void fadeIn(View view) {
49 fadeIn(view, null);
50 }
51
52 /**
53 * Fades in a view.
54 * @param view The currently invisible view to be faded in
55 * @param runOnComplete Optional Runnable to be run when the animation is complete (may be null).
56 */
57 public static void fadeIn(View view, @Nullable final Runnable runOnComplete) {
58 view.setAlpha(0);
59 view.setVisibility(View.VISIBLE);
60 view.animate()
61 .alpha(1)
62 .setDuration(MEDIUM_ANIMATION_DURATION)
63 .setListener(new CancelStateAnimatorListenerAdapter() {
64 @Override public void onAnimationEnd(Animator animation) {
65 if (!canceled()) {
66 if (runOnComplete != null) {
67 runOnComplete.run();
68 }
69 }
70 }
71 })
72 .start();
73 }
74
75 /**
76 * Fades out a view.
77 * @param view The currently visible view to be faded out
78 */
79 public static void fadeOut(final View view) {
80 fadeOut(view, null);
81 }
82
83 /**
84 * Fades out a view.
85 * @param view The currently visible view to be faded out
86 * @param runOnComplete Optional Runnable to be run when the animation is complete (may be null).
87 */
88 public static void fadeOut(final View view, final Runnable runOnComplete) {
89 view.animate().cancel();
90 view.animate()
91 .alpha(0)
92 .setDuration(MEDIUM_ANIMATION_DURATION)
93 .setListener(new CancelStateAnimatorListenerAdapter() {
94 @Override public void onAnimationEnd(Animator animation) {
95 if (!canceled()) {
96 // Detect if we got canceled, and if so DON'T hide...
97 // There's another animation now pushing the alpha back up
98 view.setVisibility(View.GONE);
99 view.setAlpha(1);
100 if (runOnComplete != null) {
101 runOnComplete.run();
102 }
103 }
104 }
105 })
106 .start();
107 }
108
109 /**
110 * Ensures that the translationY of a particular view is the given value.
111 *
112 * If it isn't the current value, then it performs a short animation to make it so.
113 *
114 * @param view The view to translate
115 * @param translation The value to ensure it is translated by
116 */
117 public static void ensureTranslationY(View view, int translation) {
118 if (view.getTranslationY() != translation) {
119 view.animate().translationY(translation).setDuration(SHORT_ANIMATION_DURATION).start();
120 }
121 }
122
123 private static class CancelStateAnimatorListenerAdapter extends AnimatorListenerAdapter {
124 private boolean canceled;
125
126 @Override public void onAnimationCancel(Animator animation) {
127 canceled = true;
128 }
129
130 protected boolean canceled() {
131 return canceled;
132 }
133 }
134 }


Dragonborn
Home
Markers
Select All
Caves
Camps
Cities
Clearing
Docks
Dragonlair
Dwemer
Camps
Forts
Landmark
Mines
Nordic Ruin
Nordic Dwelling
Pass
Camps
Shipwreck
Settlement
Standing Stones
Temple


Single sign-on (SSO) is supported when the platform is installed in SAML_SP mode for user authentication. This authentication mode requires the definition of an Identity Provider (IdP) against which all platform users are authenticated when accessing a marketplace or the administration portal. User IDs and passwords of the organization are maintained in the IdP system, such as OpenAM or Active Directory Federation Service (ADFS).
Any organization still needs to register its users with the platform. The user credentials must match the ones maintained in the IdP system. Connection settings have to be defined in a configuration file so that the platform can connect to the IdP system.
The initial IdP defined when installing the platform in SAML_SP mode is used platform-wide, i.e. for all users registered on the platform. This initial IdP is called "default IdP". In addition, the operator can define tenants and associate an IdP system with each tenant. Marketplaces and organizations can then be associated with a tenant. In this way, the users of an organization with access to such a marketplace are authenticated against the IdP system associated with this tenant when accessing the marketplace or the administration portal.
Users are always authenticated against the IdP associated with the respective marketplace or administration portal. Users of the same or of different organizations are authenticated against a different IdP when accessing different marketplaces with different IdPs associated.
On the Manage tenants page, you can define and manage tenants. For each tenant, you can define the connection settings to the IdP that is to be associated with the tenant. If no tenant is defined, users are authenticated against the default IdP specified when installing the platform in SAML_SP mode.
Before you start creating a tenant, make sure to have exchanged the required information with the IdP administrator. Click here for information on what you need from the IdP administrator, and here for information on what the IdP administrator needs from you.Be aware that although a marketplace can be associated with a tenant, the marketplace is, by default, still open for publishing and subscribing to services. To avoid this, configure the marketplace in a way that you restrict the access to it to specific sellers who can publish their services (authorized sellers only) and to specific customer organizations that can subscribe to services published on the marketplace (closed marketplace). To do so, you need to be the owner of the marketplace.
To create a tenant:
To update the data of a tenant:
Note that you cannot change the ID or the URL of the IdP.
The current connection settings are written to a properties file.
Clicking Clear removes all properties of the selected tenant from the database. This button is only enabled when properties for the selected tenant have been loaded before.
Clicking Delete removes the selected tenant. A tenant can only be deleted if it is not yet associated with an organization or a marketplace.


I want to do some research jobs in the next year. But there are many things need to be done before I write some paper as below:
First, you need to read some papers in this area. As you know, my current interest is about Web offensive and defensive technology, Web privacy protection, Web development and testing in modern high technology life. I have summaried that there are some ways that I could to search some usefull paper in my area.
- The top security conference. You can choose this good link, it provides all the security conference all over the world. Computer Security Conference Ranking and Statistic;
- Using Google Scholar and dplp. You can search with keywords and famous author. Just take privacy topic as example, keywords: browser privacy, mobile privacy and etc.;
- Follow you supervisor’s students and projects. Because you need to work with they in the next years.
Secondly, you need to install some software to make my work more efficient. But I only have some simple tips to share at present as below:
- Zotero: It could help you collect and organise your papers. The tool is free and cross the all platforms (Windows & Linux & Mac);
- evernote: You can paste some usefull idea and theory from your readed papers or online articles;
- GoldenDict: It could help you translate english words to chinese, especially for non-english countries. It’s very convenient if you use its hotkey (ctrl+c+c);
- Markdown: Actually it’s not a software, just a format for writing articles, but it’s very userful and you only just focus on the article content not the format;
- Doit.im: a tool which you can manage your time and tasks. If you could deal with your daily time and paper time, you will be very relax and happy every day.
At last, you need to practise and work hard. I am on the way and hope you can go with me.


Gives you information about your route tables. You can filter the results to return information only about tables that match criteria you specify. For example, you could get information only about a table associated with a particular subnet. You can specify multiple values for the filter. The table must match at least one of the specified values for it to be included in the results.
You can specify multiple filters (e.g., the table has a particular route, and is associated with a particular subnet). The result includes information for a particular table only if it matches all your filters. If there's no match, no special message is returned; the response is simply empty.
You can use wildcards with the filter values: an asterisk matches zero or more characters, and ? matches exactly one character. You can escape special characters using a backslash before the character. For example, a value of \*amazon\?\\ searches for the literal string *amazon?\ .
describe-route-tables
[--dry-run | --no-dry-run]
[--route-table-ids <value>]
[--filters <value>]
--dry-run | --no-dry-run (boolean)
Checks whether you have the required permissions for the action, without actually making the request. Using this option will result in one of two possible errorresponses. If you have the required permissions, the error response will be DryRunOperation . Otherwise it will be UnauthorizedOperation .
One or more route table IDs.
Syntax:
"string" "string" ...
A list of filters used to match properties for Route Tables. For a complete reference to the available filter keys for this operation, see the Amazon EC2 API reference .
Shorthand Syntax:
Key value pairs, where values are separated by commas.
--filters Name=string1,Values=string1,string2
JSON Syntax:
[
{
"Name": "string",
"Values": ["string", ...]
}
...
]
Indicates whether the route table is the main route table for the VPC.
The ID of an association ID for the route table.
The ID of the route table involved in the association.
The ID of the subnet involved in the association.
The ID of the route table.
The CIDR range specified in a route in the table.
The ID of a gateway specified in a route in the table.
The ID of an instance specified in a route in the table.
Describes how the route was created.
The state of a route in the route table. The blackhole state indicates that the route's target isn't available (for example, the specified gateway isn't attached to the VPC, the specified NAT instance has been terminated, and so on).
Valid Values: active|blackhole
The key of a tag assigned to the resource. This filter is independent of the tag-value filter. For example, if you use both the filter " tag-key=Purpose " and the filter " tag-value=X ", you get any resources assigned both the tag key Purpose (regardless of what the tag's value is), and the tag value X (regardless of what the tag's key is). If you want to list only resources where Purpose is X, see the key filter later in this table.
The value of a tag assigned to the resource. This filter is independent of the tag-key filter.
--filters the response based on a specific tag/value combination.
The ID of the VPC for the route table.


Fretboard Studies v.2
I added some functionality to the Fretboard Studies app by Elias Dorneles.
My main goals were to create a learning tool that would help me see interval, chord and scale relationships better. My git-hub repository for this version is here. Feel free to branch and improve the code!
Below is the help/instructions text which can be accessed in the app by clicking the '?' button:


--- layout: page title: Conflict, Bargaining, and Kinship Networks in Medieval Eastern Europe ---
Conflict, Bargaining, and Kinship Networks in Medieval Eastern Europe takes the familiar view of Eastern Europe, families, and conflicts and stands it on its head. Instead of a world rife with civil war and killing, this book presents a relatively structured environment where conflict is engaged in for the purposes of advancing one's position, and where death among the royal families is relatively rare. At the heart of this analysis is the use of situational kinship networks—relationships created by elites for the purposes of engaging in conflict with their own kin, but only for the duration of a particular conflict. A new image of medieval Eastern Europe, less consumed by civil war and mass death, will change the perception of medieval Eastern Europe in the minds of readers. This new perception is essential to not only present the past more accurately, but also to allow for medieval Eastern Europe's integration into the larger medieval world as something other than an aberrant other.
Christian Raffensperger gives us a new understanding of conflict in medieval Eastern Europe. He explores the highly complex relations between conflict resolution and kinship networks. Original, theoretically innovative, vividly written, and well-constructed, this is a path-breaking work shedding considerable light on a key component of medieval politics in Eastern Europe.
Florin Curta, University of Florida
Elucidating the necessarily trans-realm, regional nature of haute politique in eleventh- and twelfth-century Eastern Europe, with its continuously shifting family alliances within and across the borders of often unstable polities, Christian Raffensperger has crafted a meticulously researched, innovative monograph with an originally formulated leitmotif-concept—the 'situational kinship network.'
David Goldfrank, Georgetown University
Another Raffensperger cannon ball through the conceptual wall between Eastern and Western medieval Europe. Conflict, Bargaining, and Kinship Networks in Medieval Eastern Europe takes great strides toward normalizing the history of Rus by replacing the image of incessant civil war with a story of bargaining for power through formalized, largely bloodless conflict within a relatively stable and functioning polity. Christian Raffensperger shows how in both the plastic use of kin networks and levels of conflict the politics of eastern European families resembled that of their western European counterparts. Let the walls come down.
Leonora Neville, University of Wisconsin-Madison
Christian Raffensperger's book is a major interpretation of medieval politics in Rus'. Raffensperger offers an innovative explanation of numerous conflicts among the ruling elite as a tool for bargaining between individuals, families, and clans. Raffensperger advances our understanding of kinship politics by convincingly demonstrating how the terms of kinship were challenged and negotiated during such conflicts. This study defies modern nationalism and isolationism by taking the reader to the fascinating world of medieval kinship networks that crossed national and ethnic boundaries.
Sergei Bogatyrev, University College London


Data and web engineering:
- Philipp S. Sommer
PhD student and research software engineer in the Institute of Earth Surface Dynamics (IDYST)
at the University of Lausanne (UNIL), Switzerland.
- Manuel Chevalier
Postdoc in the Institute of Earth Surface Dynamics (IDYST)
at the University of Lausanne (UNIL), Switzerland.


%inherit file="base.html"/> <%block name="title"> Presence by weekday %block> <%block name="content"> %block>


{% load static %} Toggle navigation Kyeisha Hodge Psychotherapist Home About Services Therapy Roots of Restoration Speaking Healing the Healers Blog Contact Resources {% if user.is_authenticated %} Logout {% endif %}
Kyeisha Hodge
Psychotherapist


When training a supervised model, we should always evaluate the goodness of fit of the model. This helps on model selection and also hyperparameter tuning. First of all, we should note that the error of the model as measured on the training data is likely to be lower than the actual generalization error.
Although most supervised learning algorithms try to minimize the empirical error (regularized or not), we should not use only error rate or accuracy as the objective measure. For example, if a highly unbalanced data contains 99% positive sample, a naive algorithm that classifies everything as positive will have 99% accuracy. However, it is useless.
For classification, Smile has the following measures:
TPR = TP / P = TP / (TP + FN)
SPC = TN / N = TN / (FP + TN) = 1 - FPR
PPV = TP / (TP + FP)
FDR = FP / (TP + FP)
FPR = FP / N = FP / (FP + TN)
Fall-out is actually Type I error and closely related to specificity (1 - specificity).The F-score (or F-measure) considers both the precision and the recall of the test to compute the score. The traditional or balanced F-score (F1 score) is the harmonic mean of precision and recall, where an F1 score reaches its best value at 1 and worst at 0.
The general formula involves a positive real β so that F-score measures the effectiveness of retrieval with respect to a user who attaches β times as much importance to recall as precision.
In Smile, the class label 1 is regarded as positive while 0 as negative. Note that not all measures can be applied to multi-class data. If one applies such a measure (e.g. specificity and sensitivity) on multi-class data regardlessly, the results may not make sense and all others are regarded as negative. Note that in these situations, only label 1 is regarded as positive and any other values are treated as negative class.
The below example shows how to calculate the accuracy of a multi-class model.
val train = read.arff("data/weka/segment-challenge.arff", 19)
val test = read.arff("data/weka/segment-test.arff", 19)
val (x, y) = train.unzipInt
val model = randomForest(x, y)
val (testx, testy) = test.unzipInt
val pred = testx.map(model.predict(_))
smile> accuracy(testy, pred)
res6: Double = 0.9604938271604938
Sensitivity and specificity are closely related to the concepts of type I and type II errors. For any test, there is usually a trade-off between the measures. This trade-off can be represented graphically using an ROC curve. When using normalized units, the area under the ROC curve is equal to the probability that a classifier will rank a randomly chosen positive instance higher than a randomly chosen negative one (assuming 'positive' ranks higher than 'negative').
The following example calculates various metrics for a binary classification problem.
val label = new NominalAttribute("class")
val train = read.table("data/classification/toy/toy-train.txt", response = Some((label, 0)))
val test = read.table("data/classification/toy/toy-test.txt", response = Some((label, 0)))
val (x, y) = train.unzipInt
val model = logit(x, y, 0.1, 0.001)
val (testx, testy) = test.unzipInt
val pred = testx.map(model.predict(_))
smile> accuracy(testy, pred)
res7: Double = 0.81435
smile> recall(testy, pred)
res8: Double = 0.7828
smile> sensitivity(testy, pred)
res9: Double = 0.7828
smile> specificity(testy, pred)
res10: Double = 0.8459
smile> fallout(testy, pred)
res11: Double = 0.15410000000000001
smile> fdr(testy, pred)
res12: Double = 0.16447859963710107
smile> f1(testy, pred)
res13: Double = 0.808301925757654
// Calculate posteriori probability for AUC computation.
val posteriori = new Array[Double](2)
val prob = testx.map { x =>
model.predict(x, posteriori)
posteriori(1)
}
smile> auc(testy, prob)
res17: Double = 0.8650958
For regression, Smile has the following measures:
The generalization error (also known as the out-of-sample error) is a measure of how accurately an algorithm is able to predict outcome values for previously unseen data. Ideally, test data should be statistically independent from training data. But in practice, we usually have only one historical dataset and the evaluation of a learning algorithm may be sensitive to sampling error. In what follows, we discuss various testing mechanisms.
We provide both Java and Scala helper functions for testing. The Java helper
functions are the static methods of the class smile.validation.Validation
.
The Scala one are in the package object of smile.validation
and
can be accessed directly in the Shell.
Hold-out testing assume that all data samples are independently and identically distributed (this is also the basic assumption of most learning algorithms). A part of the data is hold out for testing. Many benchmark data contain a separate test dataset.
// Test a generic classifier. Only accuracy is calculated.
def test[T](x: Array[T], y: Array[Int], testx: Array[T], testy: Array[Int], parTest: Boolean = true)(trainer: => (Array[T], Array[Int]) => Classifier[T]): Classifier[T]
// Test a binary classifier. Report accuracy, sensitivity/recall, specificity, precision, and F-Score.
def test2[T](x: Array[T], y: Array[Int], testx: Array[T], testy: Array[Int], parTest: Boolean = true)(trainer: => (Array[T], Array[Int]) => Classifier[T]): Classifier[T]
// Test a binary soft classifier. In addition to test2, AUC is caulcated.
def test2soft[T](x: Array[T], y: Array[Int], testx: Array[T], testy: Array[Int], parTest: Boolean = true)(trainer: => (Array[T], Array[Int]) => SoftClassifier[T]): SoftClassifier[T]
The above Scala methods takes a code block to train the model and apply it on the test data.
If the parameter parTest
is true, the testing is performed parallely
on multi cores. For some implementations that is not multi-threading safe, e.g. neural
networks, this parameter should be set false. These methods return the trained model
and print out various measures.
val train = read.arff("data/weka/segment-challenge.arff", 19)
val segment = read.arff("data/weka/segment-test.arff", 19)
val (x, y) = train.unzipInt
val (testx, testy) = segment.unzipInt
smile> test(x, y, testx, testy) { case (x, y) => randomForest(x, y) }
training...
[main] INFO smile.util.package$ - runtime: 1344.61536 ms
[main] INFO smile.util.package$ - runtime: 1350.594382 ms
testing...
[main] INFO smile.util.package$ - runtime: 100.191294 ms
Accuracy = 96.30%
Confusion Matrix: ROW=truth and COL=predicted
class 0 | 124 | 0 | 0 | 0 | 1 | 0 | 0 |
class 1 | 0 | 110 | 0 | 0 | 0 | 0 | 0 |
class 2 | 3 | 0 | 113 | 0 | 6 | 0 | 0 |
class 3 | 1 | 0 | 0 | 105 | 4 | 0 | 0 |
class 4 | 1 | 0 | 7 | 4 | 114 | 0 | 0 |
class 5 | 0 | 0 | 0 | 0 | 0 | 94 | 0 |
class 6 | 0 | 0 | 0 | 3 | 0 | 0 | 120 |
res5: RandomForest = smile.classification.RandomForest@2ac50ab0
val label = new NominalAttribute("class")
val train = read.table("data/classification/toy/toy-train.txt",response = Some((label, 0)))
val test = read.table("data/classification/toy/toy-test.txt", response = Some((label, 0)))
val (x, y) = train.unzipInt
val (testx, testy) = test.unzipInt
smile> test2(x, y, testx, testy) { case (x, y) => lda(x, y) }
training...
Sep 23, 2017 10:46:18 AM com.github.fommil.jni.JniLoader liberalLoad
INFO: successfully loaded /var/folders/cb/577dvd4n2db0ghdn3gn7ss0h0000gn/T/jniloader5628602571859069912netlib-native_system-osx-x86_64.jnilib
[main] INFO smile.netlib.NLMatrix - LAPACK DSYEVR returns work space size: 66
[main] INFO smile.util.package$ - runtime: 127.952111 ms
[main] INFO smile.util.package$ - runtime: 132.074615 ms
testing...
Sep 23, 2017 10:46:18 AM com.github.fommil.jni.JniLoader load
INFO: already loaded netlib-native_system-osx-x86_64.jnilib
[main] INFO smile.util.package$ - runtime: 78.653061 ms
Accuracy = 81.23%
Sensitivity/Recall = 78.28%
Specificity = 84.17%
Precision = 83.18%
F1-Score = 80.66%
F2-Score = 79.21%
F0.5-Score = 82.15%
Confusion Matrix: ROW=truth and COL=predicted
class 0 : 8417 | 1583 |
class 1 : 2172 | 7828 |
res5: LDA = smile.classification.LDA@5a524a19
smile> test2(x, y, testx, testy) { case (x, y) => randomForest(x, y) }
training...
[main] INFO smile.util.package$ - runtime: 133.819391 ms
[main] INFO smile.util.package$ - runtime: 136.249939 ms
testing...
[main] INFO smile.util.package$ - runtime: 449.700148 ms
Accuracy = 81.11%
Sensitivity/Recall = 80.99%
Specificity = 81.22%
Precision = 81.18%
F1-Score = 81.08%
F2-Score = 81.03%
F0.5-Score = 81.14%
Confusion Matrix: ROW=truth and COL=predicted
class 0 : 8122 | 1878 |
class 1 : 1901 | 8099 |
res6: RandomForest = smile.classification.RandomForest@a24e874
// AUC will be reported in binary classification
test2soft(x, y, testx, testy) { case (x, y) => lda(x, y) }
test2soft(x, y, testx, testy) { case (x, y) => randomForest(x, y) }
The Java helper functions are similar. Instead of taking a code block to train
the model, it takes a trained classifier and/or some classification measure(s).
There are also other test
methods for regression.
// Tests a classifier on a validation set. Only accuracy is calculated.
public static <T> double test(Classifier<T> classifier, T[] x, int[] y);
// Tests a classifier on a validation set for given measure.
public static <T> double test(Classifier<T> classifier, T[] x, int[] y, ClassificationMeasure measure);
// Tests a classifier on a validation set for a given set of measure.
public static <T> double[] test(Classifier<T> classifier, T[] x, int[] y, ClassificationMeasure[] measures);
Out-of-bag (OOB) error, also called out-of-bag estimate, is a method of measuring
the prediction error of random forests, boosted decision trees, and other machine
learning models utilizing bootstrap aggregating to sub-sample data sampled used
for training. OOB is the mean prediction error on each training sample xi
, using
only the trees that did not have xi
in their bootstrap sample.
val rf = randomForest(x, y)
println(s"OOB error = ${rf.error}")
Subsampling allows one to define an out-of-bag estimate of the prediction performance improvement by evaluating predictions on those observations which were not used in the building of the next base learner. Out-of-bag estimates help avoid the need for an independent validation dataset, but often underestimate actual performance improvement and the optimal number of iterations.
In k
-fold cross validation, the dataset is divided into k
random partitions.
We treat each of the k
partition like a hold-out set, train a model on
the rest of data, and measure the quality of the model on the held-out.
The overall performance is taken to be the average of the performance
on all k
partitions.
def cv[T](x: Array[T], y: Array[Int], k: Int, measures: ClassificationMeasure*)(trainer: => (Array[T], Array[Int]) => Classifier[T]): Array[Double]
def cv[T](x: Array[T], y: Array[Double], k: Int, measures: RegressionMeasure*)(trainer: => (Array[T], Array[Double]) => Regression[T]): Array[Double]
When no measures are provided, the methods use accuracy or RMSE by default for classification or regression, respectively.
smile> val data = read.arff("data/weka/iris.arff", 4)
smile> val (x, y) = data.unzipInt
smile> cv(x, y, 10) { case (x, y) => lda(x, y) }
cv 1...Sep 23, 2017 10:49:39 AM com.github.fommil.jni.JniLoader liberalLoad
INFO: successfully loaded /var/folders/cb/577dvd4n2db0ghdn3gn7ss0h0000gn/T/jniloader2149102048580875489netlib-native_system-osx-x86_64.jnilib
[main] INFO smile.netlib.NLMatrix - LAPACK DSYEVR returns work space size: 132
[main] INFO smile.util.package$ - runtime: 120.440284 ms
Sep 23, 2017 10:49:39 AM com.github.fommil.jni.JniLoader load
INFO: already loaded netlib-native_system-osx-x86_64.jnilib
cv 2...[main] INFO smile.netlib.NLMatrix - LAPACK DSYEVR returns work space size: 132
[main] INFO smile.util.package$ - runtime: 0.317248 ms
cv 3...[main] INFO smile.netlib.NLMatrix - LAPACK DSYEVR returns work space size: 132
[main] INFO smile.util.package$ - runtime: 0.277836 ms
cv 4...[main] INFO smile.netlib.NLMatrix - LAPACK DSYEVR returns work space size: 132
[main] INFO smile.util.package$ - runtime: 0.329278 ms
cv 5...[main] INFO smile.netlib.NLMatrix - LAPACK DSYEVR returns work space size: 132
[main] INFO smile.util.package$ - runtime: 0.313139 ms
cv 6...[main] INFO smile.netlib.NLMatrix - LAPACK DSYEVR returns work space size: 132
[main] INFO smile.util.package$ - runtime: 0.193949 ms
cv 7...[main] INFO smile.netlib.NLMatrix - LAPACK DSYEVR returns work space size: 132
[main] INFO smile.util.package$ - runtime: 0.231793 ms
cv 8...[main] INFO smile.netlib.NLMatrix - LAPACK DSYEVR returns work space size: 132
[main] INFO smile.util.package$ - runtime: 0.243219 ms
cv 9...[main] INFO smile.netlib.NLMatrix - LAPACK DSYEVR returns work space size: 132
[main] INFO smile.util.package$ - runtime: 0.312006 ms
cv 10...[main] INFO smile.netlib.NLMatrix - LAPACK DSYEVR returns work space size: 132
[main] INFO smile.util.package$ - runtime: 0.289655 ms
Confusion Matrix: ROW=truth and COL=predicted
class 0 : 49 | 1 | 0 |
class 1 : 0 | 41 | 9 |
class 2 : 0 | 13 | 37 |
Accuracy: 84.67%
res2: Array[Double] = Array(0.8466666666666667)
On the Iris data, the accuracy estimation of 10-fold cross validation is about 84.7%. You may get different number because of the random partitions.
A special case is the leave-one-out cross validation that uses a single observation from the original sample as the validation data, and the remaining observations as the training data. This is repeated such that each observation in the sample is used once as the validation data. Leave-one-out cross-validation is usually very expensive from a computational point of view because of the large number of times the training process is repeated.
def loocv[T](x: Array[T], y: Array[Int], measures: ClassificationMeasure*)(trainer: => (Array[T], Array[Int]) => Classifier[T]): Array[Double]
def loocv[T](x: Array[T], y: Array[Double], measures: RegressionMeasure*)(trainer: => (Array[T], Array[Double]) => Regression[T]): Array[Double]
On the Iris data, the accuracy estimation of LOOCV is 85.33%, which is higher than that of 10-fold cross validation. This is because more data is used for training and less for testing.
smile> loocv(x, y) { case (x, y) => lda(x, y) }
Confusion Matrix: ROW=truth and COL=predicted
class 0 | 49 | 1 | 0 |
class 1 | 0 | 41 | 9 |
class 2 | 0 | 12 | 38 |
Accuracy: 85.33%
res7: Array[Double] = Array(0.8533333333333334)
Java developers can use the below methods for cross validation. We need to provide
a ClassifierTrainer
object to train the models during the validation.
The methods for regression have similar interface. For leave-one-out cross validation,
use the methods loocv
.
// Cross validation a classifier. Only accuracy is calculated.
public static <T> double cv(int k, ClassifierTrainer<T> trainer, T[] x, int[] y);
// Cross validation a classifier for given measure.
public static <T> double cv(int k, ClassifierTrainer<T> trainer, T[] x, int[] y, ClassificationMeasure measure);
// Cross validation a classifier for a given set of measure.
public static <T> double[] cv(int k, ClassifierTrainer<T> trainer, T[] x, int[] y, ClassificationMeasure[] measures);
Bootstrap is a general tool for assessing statistical accuracy. The basic
idea is to randomly draw data with replacement from the training data,
each bootstrap sample set has the same size as the original training set.
In the bootstrap set, the expected ratio of unique instances is
approximately 1 − 1/e ≈ 63.2%
. This process is done many
times (say k = 100
), producing k
bootstrap datasets.
Then we fit the model to each of the bootstrap datasets and examine
the behavior of the fits over the k
replications.
def bootstrap[T](x: Array[T], y: Array[Int], k: Int, measures: ClassificationMeasure*)(trainer: => (Array[T], Array[Int]) => Classifier[T]): Array[Double]
def bootstrap[T](x: Array[T], y: Array[Double], k: Int, measures: RegressionMeasure*)(trainer: => (Array[T], Array[Double]) => Regression[T]): Array[Double]
On the Iris data, the accuracy estimation of 100 bootstraps is about 83.7%, which is slightly lower than that of 10-fold cross validation.
smile> bootstrap(x, y, 100) { case (x, y) => lda(x, y) }
Bootstrap average:
Accuracy: 83.72%
res8: Array[Double] = Array(0.8372408157995903)
Java developers can use the below methods for bootstrap validation. Instead of an average value over all sample sets, we return the metric values for each sample set, which can be used to calculate a variety of statistics.
// Bootstrap accuracy estimation of a classification model.
public static <T> double[] bootstrap(int k, ClassifierTrainer<T> trainer, T[] x, int[] y);
// Bootstrap performance estimation of a classification model for given measure.
public static <T> double[] bootstrap(int k, ClassifierTrainer<T> trainer, T[] x, int[] y, ClassificationMeasure measure);
// Bootstrap performance estimation of a classification model for a given set of measure.
public static <T> double[][] bootstrap(int k, ClassifierTrainer<T> trainer, T[] x, int[] y, ClassificationMeasure[] measures);
The bootstrap distribution of a parameter-estimator has been used to calculate confidence intervals for its population-parameter. If the bootstrap distribution of an estimator is symmetric, then percentile confidence-interval are often used; such intervals are appropriate especially for median-unbiased estimators of minimum risk (with respect to an absolute loss function). Otherwise, if the bootstrap distribution is non-symmetric, then percentile confidence-intervals are often inappropriate.
The bootstrap distribution and the sample may disagree systematically, in which case bias may occur. Bias in the bootstrap distribution will lead to bias in the confidence-interval.


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---
layout: definitions
---
Let $A=[a_{in}]$ be $m\times n$. For some $x=[x_j]\in\mathbb{F}^n$, then
$$\begin{align*}
Ax&=\begin{bmatrix}a_{11}x_1+\dots + a_{1n}x_n\end{bmatrix}
\end{align*} \\
&=x_1c_1+\dots + x_nc_n$$ where $c_j$ is the $j^{\text{th}}$ column of $A$. We say that $\text{span }\{c_1, \dots, c_n\}$ is the column space of $A$.
Let $r_1, \dots, r_m$ denote the rows of $A$. Then $\text{span }\{r_1, \dots, r_n\}$ is the row space of $A$.
Concepts
$A$ is row equivalent to a matrix $R$, if and only if they have the same row space.
Used In
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Use this application to try out all of the text-to-speech voices in Chrome, or Search the Chrome Web Store for more TTS voices.
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Click on or tab to these boxes:
Alpha Bravo Charlie Delta Echo Foxtrot


The blinds are closed, as they always are. We can’t risk a tell-all flash sneaking in between.
Like you always say, where there is light, a burst of flashes follows with a sputter of clicks. And wherever you are, there is light.
But it’s dark whenever you’re gone. We leave the lights dimmed when I’m here, and whenever I want to leave, I must sneak out before dawn.  You say that secrets are better, that we’re hidden to be protected, and you wouldn’t protect something useless.
That must mean I’m something.
But, without you, I feel like nothing. You make me golden.
I hear our secret knock on the door; it’s my cue to let you in.
I peer through the peephole and recognize your light hazel eyes. My heart leaps as the door creaks and your skirt swishes as you embrace me.
I can’t help but feel disappointed.

“You know you’re the only one I love,” you murmur in that soft voice.
 You’re intoxicating enough for me to push away that lingering scent.
I close the door, and watch as you throw your scarf on the recliner, plop onto the leather couch, and prop your feet up on our mahogany coffee table.  Your hand finds its way into mine and our fingers intertwine as the TV hums contentedly in the background.
 I don’t want to ask you what you did today, because that’ll just ruin our carefully crafted picture of bliss.  You like to take mental notes, to try and do better next time. My heart pangs as I see his hand tangled in your long golden hair, his arm loosely resting on your waist, as you both are wrapped up in a masquerade of passion, an acceptable heat. You squeeze my hand as if to tell me not to worry.
As the show comes to an end, you lean forward and turn the TV off with a satisfying click.
“I missed you, Luce.”

 My hands tangle in your hair, my lips ask yours the questions I don’t want to speak aloud, your leg brushes against mine and…
It all reminds me too much of your ingenuine kiss with him.
I pull away, flushed.

“What’s wrong?”
I force a smile. “Nothing.”
 There’s no need to act at home.
You’re making that face again, that face where you tell me not to “throw a fit.” As if it’s abnormal for your girlfriend of four years to feel just a little jealous that you’re fake-dating that…

I turn away, my face burning with embarrassment. I loathe how you make all of my concerns seem so trivial.
“You’re adorable when you’re angry.”
I lean back into your embrace. It’s been a while since I’ve felt this, and even if I’m upset, who knows how long I’ll get you for this time. It’s probably only a matter of days before you have to go back on set.
“I hate this.”
You let out a long sigh. “That’s just how it is, Lucy.”
I despise that answer. You make me feel like I’m a child, like it’s beyond me to understand why we’re secret.
“How long do I have to wait?” I mumble, inhaling your sweet scent.
You run your hands tenderly through my hair. “I’m almost there, Lucy. My manager told me I could be the next Jennifer Aniston if I play all of my cards right. Don’t worry.”
“I’m not worried, I just… how long do you have to date…” I can’t even bring myself to say his name.
“Steve?”
How can you say his name so nonchalantly?
I nod, burrowing my face further into the crook of your neck.
“It’s just for publicity, Luce. I don’t get why you’re so worried. I obviously don’t like him.” You brush a fallen strand of hair behind my ear.
 “If you know that, then why is there a problem?”
Because, even if it’s all fake, and even if you don’t love him, it just feels so real. On our 40 inch LCD TV, you both just look right together. Critics praise your chemistry, tabloids are splattered with pictures of the two of you on your “dates,” and your subreddit is flooded with comments of “will-they, won’t-they.” But if I tell you all of this, I know you’ll just laugh. You’ll say, “It’s all for show,” or “My manager wants to make sure the show gets more attention,” or “You know how the public gets. Don’t read into it,” or some other excuse to brush me off.
I take a deep breath.
“When can we be public?” My hands are trembling and I’m sure you can feel my heartbeat quicken through my back.
 A slight shiver falls over me. It’s unfair that you hold this ungrateful power over me.
“Just a few more months, Lucy,” you whisper in between your soft kisses.  I wish I could do the same, leave an imprint of my love on you, one that you’d try to hide with your scarf like a poorly kept secret.
But for now, I let you consume me in your love.
***
I’m sprawled on my twin-sized bed, scrolling through Instagram. I should be studying for my programming exam tomorrow, but my roommate just left for an interview, and who knows when we’ll get another chance.
I hear our secret knock on the dorm room door - three successive raps, followed by a counterclockwise turn of the door handle. I rush to open the door, flushed with excitement.
“Hi,” you say, smiling brighter than I could imagine.
 I hope you never change your shampoo.
“You’re pretty,” I mumble as Hamilton faintly hums from the airpod in your left ear.
“No you.”
I pull away from you.  Maybe it’s because this time I actually get to hold your hand, instead of admiring you from afar.
“Um… so are we going to…” I’m burning red as I fumble to ask the question.

 But, I try to let go of my inhibitions, close my eyes, and lean in until our lips meet.
Your lips are soft and warm, but unlike every other time, there’s an underlying heat behind our kiss. You move your hands to grasp at my short brown hair, as I move mine onto your hips, your light gray beanie slipping off of your hair as we stumble onto my bed.
Your skin is burning hot as I pepper your neck with kisses until I’ve marked my claim. I want you to walk out of here with one of my infinity scarves wrapped around your neck. I want to see you flush with embarrassment when one of our friends inevitably tease us for our moment of passion. I want this to be a reminder of our love, an imprint that you can’t so easily erase.
***
You told me you’d be here at 6 PM sharp. You said it doesn’t matter how many retakes the director wants, you would make sure you left early. If your manager asked, you’d tell him it was urgent. If Steve wanted to go on another publicity “date,” you’d tell him you’re busy. You promised me you’d be here.
But it’s 7:45 PM, the sun is setting, and I still haven’t seen your face.
Why am I not surprised?
My strawberry shortcake looks sad and lonely on the mahogany kitchen table, lying there unpresumptuously, leaning ever so slightly to the right. The smell of smoke from 24 stubs of candles is long gone, wafted away by the draft from the window I left slightly open. We’re almost out of pepperoni pizza - Max and the other boys from our college theater troupe almost single-handedly demolished that.
Mia plops down on the couch next to me.
I force a smile. “I’m fine! Microsoft’s been keeping me busy lately, so I’m just a little too wiped out for a party.”
She raises an eyebrow and immediately calls my bluff. “Look, how have things been since Ava became famous?”
I swallow back some tears. You should have been here.
“Just… peachy,” I smile back.
Mia sighs loudly. “Lucy, I know you better than that. We’ve been friends for six years.”
I stand up and head to the bathroom. I don’t think I can hold back my tears anymore. Everyone stares as Mia runs after me, trying to console me.
The loud chatter of the party fades, and all I can hear is this deafening silence because you said you’d be here, but you’re not, and our relationship feels like nothing but a farce.
I slump onto the toilet, letting my tears fall into my hands.
Mia walks in with a fuschia balloon in her hand.
“Pop it,” she says, handing me the balloon. “You’ll feel better.”
I squeeze the balloon with all my force as it bursts with a booming pop. I wish I could say all my problems are solved, but all I feel is overwhelming disappointment.

“Now tell me, what’s actually wrong?” Mia asks, kneeling down to be at my level.
I sigh. “Ever since Ava became famous, I feel like an afterthought. She’s hyperfocused on her career and… definitely crosses some lines in our relationship to get where she wants to be.” I bury my face in my hands.
“Talk with her. You weren’t like this before, back when we were in college.
She’s right.  I was happy.  I miss how we used to watch reruns of Glee at 2 AM, how you’d cover me with a blanket whenever I’d doze off, how you’d randomly blurt out that I’m beautiful even when I was in sweats. I miss when we could go to cafes and restaurants together without paparazzi jumping out of nowhere asking what we were. We used to have a quiet, unspoken intimacy, our love exchanged through furtive glances, walking with our pinkies intertwined, and whispers of secrets.
Now, I barely ever see you, and whenever I do, it’s all physical. None of that muted love, just kisses to light me on fire, to make me your plaything.
“She never tells me I’m beautiful,” I mumble absentmindedly.
Mia looks at me, concerned. “She still loves you,” she says, but it sounds like a lie.
“Yeah.” I can’t help but lie to myself too.
***
At 9:30, I finally hear our secret knock. I swear I heard you hesitate, but god knows you never do that around me.

I reluctantly trudge to the door and let you in.
 “Happy Birthday Lucy,” you mumble.
You pull away to admire the massacre that happened when you were gone.

“I wouldn’t exactly call it ‘fun’.”  The top layer of the shortcake has almost completely slid off onto the table.
You take a deep breath and look down. “I’m sorry I’m so late.”
“My party is over. I think you’re a little beyond ‘late’, Ava.” My knees are going weak. I lean on the doorframe for support, my heart pounding so loudly I can hear the blood pumping in my ears.
“I know, and I’m sorry. I should have been here.” You walk towards me.
“You promised,” I say, my voice cracking as I choke back a sob.
“I know, but I had to stay on for work. The director wanted retakes of this one scene with Steve, and they wouldn’t let me leave filming early. They said if we didn’t finish this scene, we wouldn’t be able to release the season on time, and I just couldn’t leave,” you ramble, explaining with your hands.
I don’t even know what to say, so I just stare back at you, my heart breaking. I’m the afterthought here.
“Come on, let’s cut some cake!” You walk over to the kitchen table, your skirt swishing as you try to brush away my sadness.
Why are you not on your hands and knees, apologizing for being late, begging for my forgiveness? How could you so carelessly break a promise?
I clear my throat, trying to hold back the tears as you attempt to push the top layer of my cake back on. “It’s my birthday, Ava. Why can’t I be the most important person today, and not your work?”
“Luce, like I said, I couldn’t get out of filming. You know I wanted to be here,” you say, your voice about to break.
Tears start streaming down my face. “What happened to us?”
“Nothing happened, I still love you the same,” you say in desperation.
I shake my head. “No. You love your career more than me.”
“Please, c’mere Luce,” you cry, arms extended.
I hate how I accept your embrace.
You run a hand through my hair. “I know things have been… harder since I became famous. Just… give me some time, okay? I’m sorry I haven’t been here.”

“I love you Ava.
“Just wait for this season to end. I promise, you’ll be my priority. Not my career, my manager, or Steve.”
You pull away and smile at me. “We can’t have the birthday girl crying, now can we?” You gently rub away the tears with your thumb.
“C’mon, let’s go celebrate my favorite person,” you say with that money-making smile of yours. I never told you this, but I miss how your teeth were just slightly crooked. It made you unique, different.
 Sure, it’s a little slanted, but you fixed it, just like you always do.
 With the new season wrapping up, you needed to spend more time filming.
But it’s been two weeks since I’ve heard from you.
It’s lonely in this house, so I’ve been inviting Mia over after work to keep me company.
Nothing seems to work though. You’re etched into my brain like a pretty picture, and I can’t seem to let you go.
Out of nowhere, I hear a ding on my phone. I pick it up, hoping that you’ve finally responded to me. But, it’s just a notification from one of the tabloids I subscribe to. It’s probably just some gossip about some celebrity’s new beau, or whatever. I swipe down to see the headline, since I’ve got nothing better to do, and…
Sizzling: Ava Adams & Steve Goldsmith Can’t Keep Their Hands Off Each Other on Steamy Beach Getaway
I…
What?
This can’t be real.
In disbelief, I click on the article and it’s plastered with pictures of you and Steve in the Pacific, your hands tangled in his hair, his hands gripping your waist in a heat of passion. It just… it looks so real. And if it wasn’t real, why wouldn’t you tell me? If it was just for publicity why wouldn’t-
I hear our knock on the door. I wipe tears away from my eyes, trying to compose myself.
I open the door, and you’re… so fake.
You drop your purse and wrap me in a hug, and all I can smell is him.

“Where were you?” I ask, trying to keep my voice from shaking.
You pull away from me. “Ah… Well, my manager wanted to get some more publicity for my movie and…” You take a deep breath.  “It was just for publicity.” You take a step closer.
“Your viewership is already at two million. What more do you want?” I move back, bumping into the wall.
“It’s not me, it’s my manager,” you say, your voice dipping into hysteria.
I widen my stance, leaning on the wall for support. “What’s the worst that could happen if we were in a public relationship? Am I really that awful?”
“Luce, no, you’re perfect, I-” you keep fidgeting with your hands.
“Then why can’t we be together? Why do I have to see you every other day with Steve, when you lock me up like a secret? Would it have been any different if I was a boy?” I burst into messy, uncontrollable tears, my hands wiping away the mascara running down my face.
You take a step towards me. “We’re secret because they’d ruin us, Lucy.”
“No, Ava. They’d ruin your career. Not us.” I sniff away my last few tears.
Your hands are trembling. “I love you Lucy.” You look up at me, hopeless. You’re making a face I’m not used to seeing.
“But not more than you love your job,” I say sadly. “I’m never going to be your priority, am I?”
Your eyes flit between your feet and me. “I- Lucy, how can you-”
The hesitation is the nail in the coffin. I turn away, storming off to my room.
“Lucy, wait…” You reach for me, trying to infect me with your Midas touch.  I’m not falling for it this time.
“We’re done.”
I swallow back my tears, saving them for the lonely ride home.
“Can’t we just talk about this, like grown-ups?”

I turn away, not about to get sucked into your blinding light.
“I’m done talking.”

I can’t believe I thought you ever made me golden.


Package it.polimi.ingsw.model
Class Game
java.lang.Object
it.polimi.ingsw.model.Game
public class Game
extends java.lang.Object
This is the Game Class, it is used to manage the data of the game.
-
Field Summary
Fields Modifier and Type Field Description private java.util.List<God>
godList
Gods List used in this gameprivate IslandBoard
islandBoard
Instance of the Game BoardGameMode
mode
GameMode of this gameprivate GamePhase
phase
Current GamePhaseprivate int
player
Current Player indexprivate java.util.List<Player>
playerList
Players List -
Constructor Summary
-
Method Summary
Modifier and Type Method Description private void
autoEnd()
Try to perform an auto-end action until a new player can playboolean
canEndTurn()
Check if the current player can end the turnvoid
chooseAction(int[] position)
Use an action for current playervoid
choosePlayer(java.lang.String targetUsername)
Set start playervoid
chooseWorker(int position)
Choose a worker for current playerAction[][][]
getActions()
Get a copy of available actions for the player in this turnCell[][]
getBoard()
Get a copy of the Game Boardjava.util.List<Color>
getColors()
Get available colors to pickjava.lang.String
getCurrentPlayer()
Get Current Player's usernamejava.util.ArrayList<God>
getGodList()
Get a copy of Gods used in this gameGamePhase
getPhase()
Get current Game Phasejava.util.ArrayList<Player>
getPlayerList()
Get a copy of Game PlayerListprivate void
nextPlayer()
Shift to the next player, if only one player remains, his status will be set as 'WIN'.void
quitPlayer()
End the current game.void
setColor(Color color)
Set color for current playervoid
setGod(God god)
Set the god for the current playervoid
setGodList(God god)
Set gods to use in this game (one god at the time)void
setWorkers(int position)
Set/Place a worker for current player
-
Field Details
-
mode
GameMode of this game -
phase
Current GamePhase -
playerList
Players List -
player
private int playerCurrent Player index -
godList
Gods List used in this game -
islandBoard
Instance of the Game Board
-
-
Constructor Details
-
Game
Create a new game with the specified mode and players- Parameters:
mode
- the game modeplayers
- all players'username- Throws:
java.lang.IllegalArgumentException
- if repeated username or wrong number of players
-
-
Method Details
-
canEndTurn
public boolean canEndTurn()Check if the current player can end the turn- Returns:
- True if can end turn, otherwise False
-
getPhase
Get current Game Phase- Returns:
- current GamePhase
-
getCurrentPlayer
public java.lang.String getCurrentPlayer()Get Current Player's username- Returns:
- current player's username
-
getPlayerList
Get a copy of Game PlayerList- Returns:
- a copy of current players list
-
getGodList
Get a copy of Gods used in this game- Returns:
- a copy of current gods list for the game
-
getBoard
Get a copy of the Game Board- Returns:
- a copy of current game board
-
getActions
Get a copy of available actions for the player in this turn- Returns:
- a copy of available actions for the player in this turn
-
quitPlayer
public void quitPlayer()End the current game. It sets all players in IDLE mode if not WIN or LOSE -
nextPlayer
private void nextPlayer()Shift to the next player, if only one player remains, his status will be set as 'WIN'. The player also 'WIN' if all other players has status as 'LOSE' -
getColors
Get available colors to pick- Returns:
- current free color
-
setGod
Set the god for the current player- Parameters:
god
- god to set
-
setGodList
Set gods to use in this game (one god at the time)- Parameters:
god
- god to set
-
setColor
Set color for current player- Parameters:
color
- chosen color
-
setWorkers
public void setWorkers(int position)Set/Place a worker for current player- Parameters:
position
- worker position in ( row * 5 + col ) format, 0 <= position < 25
-
chooseWorker
public void chooseWorker(int position)Choose a worker for current player- Parameters:
position
- worker position in (row * 5 + col) format, 0 <= position < 25
-
chooseAction
public void chooseAction(int[] position)Use an action for current player- Parameters:
position
- action position in [(row * 5 + col), dim] format, 0 <= (row * 5 + col) < 25 and 0 <= dim < 3
-
autoEnd
private void autoEnd()Try to perform an auto-end action until a new player can play -
choosePlayer
public void choosePlayer(java.lang.String targetUsername)Set start player- Parameters:
targetUsername
- start player username- Throws:
java.lang.IndexOutOfBoundsException
- if username not exists
-


-
Screach
Screen interactive -
DIBI
Conference -
BrewRoulette
Social Game -
App therapy
Relax & Sleep -
TDC
Conference -
Dropyourhat
Group offers -
GameHorizon
Event -
Beerdog
Social -
Big M
Art Event -
ScreachTV
TV Box -
Rappel
Basecamp Mobile


Hello WebService
About
Java EE Web Service Sample.
Copyright ©<EMAIL_ADDRESS>Sample
Hello WebService WSDL


| Description: | |
| Technique: | |
| Collected: | |
| Finished: | |
| Command: | |
| Executor: |
Groups are collections of agents so hosts can be compromised simultaneously.
| Host paw print | Status | Platform | Executors | Last seen | Sleep (Min/Max) | PID | Group |
|---|
Facts are identifiable pieces of data, collected by agents or loaded when the server starts. A source is a collection of facts. When an operation starts, a new source is created and all facts collected are stored inside. Add or remove facts using the form below.
| Source | Property | Score | Value | |
|---|---|---|---|---|
| ❌ | {{ s.name }} | {{ f.property }} | {{ f.score }} | {{ f.value }} |
Abilities are technique implementations - or procedures - which can be executed on any host running an agent.
Adversaries are collections of ATT&CK TTPs, designed to test specific threats. Abilities with unmet requirements are faded out to show the adversary cannot use them unless an unlocking ability is added.
View or start operations from here
| queued | collected | success | failure | timeout | discarded |
| Description: | |
| Technique: | |
| Collected: | |
| Finished: | |
| Command: | |
| Executor: |
View an operation report
name
adversary
group
steps
planner
att&ck
| worked / failed | Tactic | Technique ID | Technique name |
|---|
facts
| Property | Count |
|---|


SquadShare
Free, Secure Way To Share Expenses
Home
Log In
Register
Dashboard
Log Out
Joint Account Details
Account Number:
Members
Transfer Funds
Amount: $
.00
Recipient Account:
Recent Account Status


Before Change
qt = sqlite3_quote_name(table)
cursor = None
if do_subsample:
cursor = bdb.sql_execute("""
SELECT _rowid_ FROM %s ORDER BY _rowid_ ASC LIMIT ?
""" % (qt,), (do_subsample,))
else:
cursor = bdb.sql_execute("""
SELECT _rowid_ FROM %s ORDER BY _rowid_ ASC
""" % (qt,))
After Change
// XXX Let the user pass in a seed.
k = do_subsample
sql = "SELECT _rowid_ FROM %s ORDER BY _rowid_ ASC" % (qt,)
cursor = bdb.sql_execute(sql)
rowids = [row[0] for row in cursor]
n = len(rowids)
seed = struct.pack("<QQQQ", 0, 0, k, n)
uniform = weakprng.weakprng(seed).weakrandom_uniform
randomly_permute(rowids, uniform)
rowids = rowids[:k]
cursor = ((rowid,) for rowid in rowids)
else:
cursor = bdb.sql_execute("""
SELECT _rowid_ FROM %s ORDER BY _rowid_ ASC


Picture
Personal Information
Name:
Address:
Phone:
Experiences
Job Name:
Current Job Description:
Another Recent Job Name:
Description:
Projects
Project Name:
Project Description:
Recent Other Projet Name:


UIView(TTCategory) Class Reference
#import <UIViewAdditions.h>
Public Member Functions | |
| (UIView *) | - descendantOrSelfWithClass: |
| Finds the first descendant view (including this view) that is a member of a particular class. | |
| (UIView *) | - ancestorOrSelfWithClass: |
| Finds the first ancestor view (including this view) that is a member of a particular class. | |
| (void) | - removeAllSubviews |
| Removes all subviews. | |
| (void) | - simulateTapAtPoint: |
| WARNING: This depends on undocumented APIs and may be fragile. | |
| (CGPoint) | - offsetFromView: |
| Calculates the offset of this view from another view in screen coordinates. | |
| (CGRect) | - frameWithKeyboardSubtracted: |
| Calculates the frame of this view with parts that intersect with the keyboard subtracted. | |
| (void) | - presentAsKeyboardInView: |
| Shows the view in a window at the bottom of the screen. | |
| (void) | - dismissAsKeyboard: |
| Hides a view that was showing in a window at the bottom of the screen (via presentAsKeyboard). | |
| (UIViewController *) | - viewController |
| The view controller whose view contains this view. | |
Properties | |
| CGFloat | left |
| Shortcut for frame.origin.x. | |
| CGFloat | top |
| Shortcut for frame.origin.y. | |
| CGFloat | right |
| Shortcut for frame.origin.x + frame.size.width. | |
| CGFloat | bottom |
| Shortcut for frame.origin.y + frame.size.height. | |
| CGFloat | width |
| Shortcut for frame.size.width. | |
| CGFloat | height |
| Shortcut for frame.size.height. | |
| CGFloat | centerX |
| Shortcut for center.x. | |
| CGFloat | centerY |
| Shortcut for center.y. | |
| CGFloat | ttScreenX |
| Return the x coordinate on the screen. | |
| CGFloat | ttScreenY |
| Return the y coordinate on the screen. | |
| CGFloat screenX | __TTDEPRECATED_METHOD |
| Return the x coordinate on the screen. | |
| CGFloat screenY | __TTDEPRECATED_METHOD |
| Return the y coordinate on the screen. | |
| CGFloat | screenViewX |
| Return the x coordinate on the screen, taking into account scroll views. | |
| CGFloat | screenViewY |
| Return the y coordinate on the screen, taking into account scroll views. | |
| CGRect | screenFrame |
| Return the view frame on the screen, taking into account scroll views. | |
| CGPoint | origin |
| Shortcut for frame.origin. | |
| CGSize | size |
| Shortcut for frame.size. | |
| CGFloat | orientationWidth |
| Return the width in portrait or the height in landscape. | |
| CGFloat | orientationHeight |
| Return the height in portrait or the width in landscape. |
Member Function Documentation
| - (UIView*) descendantOrSelfWithClass: | (Class) | cls |
Finds the first descendant view (including this view) that is a member of a particular class.
| - (UIView*) ancestorOrSelfWithClass: | (Class) | cls |
Finds the first ancestor view (including this view) that is a member of a particular class.
| - (void) removeAllSubviews |
Removes all subviews.
| - (void) simulateTapAtPoint: | (CGPoint) | location |
WARNING: This depends on undocumented APIs and may be fragile.
For testing only.
| - (CGPoint) offsetFromView: | (UIView *) | otherView |
Calculates the offset of this view from another view in screen coordinates.
otherView should be a parent view of this view.
| - (CGRect) frameWithKeyboardSubtracted: | (CGFloat) | plusHeight |
Calculates the frame of this view with parts that intersect with the keyboard subtracted.
If the keyboard is not showing, this will simply return the normal frame.
| - (void) presentAsKeyboardInView: | (UIView *) | containingView |
Shows the view in a window at the bottom of the screen.
This will send a notification pretending that a keyboard is about to appear so that observers who adjust their layout for the keyboard will also adjust for this view.
| - (void) dismissAsKeyboard: | (BOOL) | animated |
Hides a view that was showing in a window at the bottom of the screen (via presentAsKeyboard).
This will send a notification pretending that a keyboard is about to disappear so that observers who adjust their layout for the keyboard will also adjust for this view.
| - (UIViewController*) viewController |
The view controller whose view contains this view.
Property Documentation
- (CGFloat) left [read, write, assign] |
Shortcut for frame.origin.x.
Sets frame.origin.x = left
- (CGFloat) top [read, write, assign] |
Shortcut for frame.origin.y.
Sets frame.origin.y = top
- (CGFloat) right [read, write, assign] |
Shortcut for frame.origin.x + frame.size.width.
Sets frame.origin.x = right - frame.size.width
- (CGFloat) bottom [read, write, assign] |
Shortcut for frame.origin.y + frame.size.height.
Sets frame.origin.y = bottom - frame.size.height
- (CGFloat) width [read, write, assign] |
Shortcut for frame.size.width.
Sets frame.size.width = width
- (CGFloat) height [read, write, assign] |
Shortcut for frame.size.height.
Sets frame.size.height = height
- (CGFloat) centerX [read, write, assign] |
Shortcut for center.x.
Sets center.x = centerX
- (CGFloat) centerY [read, write, assign] |
Shortcut for center.y.
Sets center.y = centerY
- (CGFloat) ttScreenX [read, assign] |
Return the x coordinate on the screen.
- (CGFloat) ttScreenY [read, assign] |
Return the y coordinate on the screen.
- (CGFloat screenX) __TTDEPRECATED_METHOD [read, assign] |
Return the x coordinate on the screen.
This method is being rejected by Apple due to false-positive private api static analysis.
- (CGFloat screenY) __TTDEPRECATED_METHOD [read, assign] |
Return the y coordinate on the screen.
This method is being rejected by Apple due to false-positive private api static analysis.
- (CGFloat) screenViewX [read, assign] |
Return the x coordinate on the screen, taking into account scroll views.
- (CGFloat) screenViewY [read, assign] |
Return the y coordinate on the screen, taking into account scroll views.
- (CGRect) screenFrame [read, assign] |
Return the view frame on the screen, taking into account scroll views.
- (CGPoint) origin [read, write, assign] |
Shortcut for frame.origin.
- (CGSize) size [read, write, assign] |
Shortcut for frame.size.
- (CGFloat) orientationWidth [read, assign] |
Return the width in portrait or the height in landscape.
- (CGFloat) orientationHeight [read, assign] |
Return the height in portrait or the width in landscape.
The documentation for this class was generated from the following file:
- Three20/UIViewAdditions.h


--- layout: page title: Support permalink: /support/ description: Technical Support and Ongoing Development ---
Our basic pricing for support/consulting is simple and public. While you can request our assistance on an ad-hoc basis, we value building an ongoing relationship. If you commit to a number of hours per month, we can resource appropriately and assist more effectively since we'll be in-the-know about your infrastructure already; and you will note that it's also cheaper.
Pricing is calculated based on actual time worked in 1 minute blocks, charged at the amount agreed when payment was accepted. The charged hours will never exceed the amount without client authorisation.
Emergency availability is charged at $200/hr for business hours, $300/hr for all other hours, and is not guaranteed for non-subscription clients.
| Rate (ex gst) | Estimated Usage | Total (inc gst) | |
|---|---|---|---|
| $200/hr | 2 hours ad-hoc | $440 | Book Pay |
| $150/hr | 4hrs/month for 3 months | $1980 | Book Pay |
| $140/hr | 8hrs/month for 3 months | $3696 | Book Pay |
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| $120/hr | 32hrs/month for 3 months | $12672 | Book Pay |
If you have any questions please Contact Us


Koyaanisqatsi (1983) Directed by Godfrey Reggio
I originally saw Koyaanisqatsi on a laserdisc a few years ago. This afternoon I watched it at a cinema on a brand new print.
Koyaanisqatsi is an 87 minute film with no narration, just images of nature and mankind accompanied with music by Philip Glass. The message is pretty obvious: we're messing up earth, and if you look at things objectively, everything we do and everything we build doesn't really matter.
It removes us from our traditional frame of reference by speeding everything up. Motorways start to resemble blood flowing through veins and people walking through crowded city streets look like water in a stream. Individuals seem worthless.
The first 10 minutes looks at the natural landscapes of America and is very impressive. There's no human life in these images of natural beauty.
Technically this film is excellent. One image sticks in my mind. A woman on a tube-train. We're looking straight at her, with the window behind her. Everything outside is speeded up and blurred, but she's sitting perfectly still.
Time-lapse tracking shots are used. We walk through a train station while everyone else madly races past.
I'm not sure if one and a half hours was needed, but it certainly does pass quickly. The music is very haunting and fit the visuals perfectly. Sometimes Glass's score sounds like a loud mess. But that was probably the point.
On a television this film would lose most of its impact. The film rests on its visuals and the details would be hard to see. Aside from this, this is one film that would be perfect on DVD. I'd buy it for sure.
SUMMARY: If you want to see something engaging, mesmerising and different, watch this.
Samir Khan<EMAIL_ADDRESS>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


drivers
Get a list of drivers and its associated information:
- name
- description
- filename
- version
- date compiled
- maintainer
- url
init
Initialize the DBI environment with the default driver path.
initWithDriversPath
Initialize the DBI environment with the specified libdbi driver path.
version
Return string version of libdbi being used.
with(driverName)
Get a new connection with the given driver.
|


This directory contains several Matlab examples that have been tested on Summit. To run the examples on Summit in your "projects" directory copy/paste the following commands:
# Go to your projects directory cd /projects/$USER # Create a new directory for your runs and go there mkdir mtest cd mtest # Download the examples as a *tgz file wget -q petra.acns.colostate.edu/docs/matlab/matlab.tgz # Uncompress the file tar -xzf matlab.tgz # Go to the "canned" directory cd canned/ # Submit the job sbatch run_matlab # Go to the "invert" directory cd ../invert/ # Submit the job sbatch run_matlab # Go to the "stom2" directory cd ../stom2/ # Submit the job sbatch run_matlab # Go to the "array" directory cd ../array/ # Submit the job sbatch --array=1-24 run_matlab
The README files have descriptions of the examples. Note: the "array" example shows how to submit many matlab jobs at the same time each getting a different random number seed.
https://petra.acns.colostate.edu/docs/matlab
6 directories, 64 files
tree v1.7.0 © 1996 - 2014 by Steve Baker and Thomas Moore
HTML output hacked and copyleft © 1998 by Francesc Rocher
JSON output hacked and copyleft © 2014 by Florian Sesser
Charsets / OS/2 support © 2001 by Kyosuke Tokoro


The value (and the data type) of a variable with no value is undefined.
Variables can be emptied if you set the value to undefined.


I have a hugh collection of large range of comic books, starting from "The Green Lantern", "Superman", "Batman", "Flash" and the list goes on and on...
Die hard "Star trek" fan, can recite all their monologues and seen every version there is.
also my all time favorite- "Battlestar Galactica", "Doctor Who", "Star Wars" and "Firefly"
My most beloved character is definitely spock
I host a youtube podcast about the study of flags, subject i'm very passionate about.
Aired about 15 shows and was a great success.

IIt is commonly known I have a "spot". no one can sit there. its for me only. yes its a hobby of mine.
I picked its precised location so that In the winter that seat is close enough to the radiator to remain warm, and yet not so close as to cause perspiration. In the summer it’s directly in the path of a cross breeze created by open windows there, and there.
It faces the television at an angle that is neither direct, thus discouraging conversation, nor so far wide to create a parallax distortion,
I could go on, but I think I’ve made my point.


{% extends "base.html" %} {% import 'bootstrap/wtf.html' as wtf %} {% block app_content %}
Please supply basic information about your company


Start
Resume
Game Over | Your score: 000
Time left:
00:00
Score:
0
Best score:
0
Track: Warp Monkeys - Atari Dream
Pause


The care package on your wrist for your next Hackathon
What is
Hackawatch?
Hackawatch is a utility application for the
Pebble Time
With
Hackawatch
, users and organizers can remain organized at the click of a button
So far
Hackawatch
can:
Create and personalized "pins" for their
Pebble Timeline
Set
vibrating reminders
that would remind you when hacking ends
Utilize the
accelerometer
and
magnetometer
to have a compass point you to to find the venue (coming soon)


Uses of Package
com.restfb.types.webhook
-
Classes in com.restfb.types.webhook used by com.restfb.types.webhook Class Description AbstractMentionAddValue Change The transferred change containing the field and the valueChangeValue Basic ChangeValue provides a enum for theVerb
ChangeValue.Verb ChangeValueFactory Factory to convert the value field of the change into a class with special fieldsFeedVideoValue change value of the feed videoWebhookEntry -
Classes in com.restfb.types.webhook used by com.restfb.types.webhook.base Class Description ChangeValue Basic ChangeValue provides a enum for theVerb
ChangeValue.Verb -
Classes in com.restfb.types.webhook used by com.restfb.types.webhook.instagram Class Description ChangeValue Basic ChangeValue provides a enum for theVerb
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Classes in com.restfb.types.webhook used by com.restfb.types.webhook.messaging Class Description ChangeValue Basic ChangeValue provides a enum for theVerb
ChangeValue.Verb -
Classes in com.restfb.types.webhook used by com.restfb.types.webhook.whatsapp Class Description ChangeValue Basic ChangeValue provides a enum for theVerb
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Classes in com.restfb.types.webhook used by com.restfb.webhook Class Description FeedAlbumAddValue change value of the feed album addFeedAlbumEditedValue change value of the feed album editFeedCommentValue Change Value for feed commentsFeedEventValue FeedLikeValue change value of the feed likeFeedPhotoAddValue change value of the feed photo removeFeedPhotoRemoveValue change value of the feed photo removeFeedPostValue Change value for feed postFeedReactionValue Change value describing a reaction to a post/comment/reply.FeedShareValue Change value for feed shareFeedStatusValue Change value for feed statusFeedVideoBlockMute change value of the feed video if a video is blocked/unblockedFeedVideoRemoveValue change value of the feed video removeFeedVideoValue change value of the feed videoMentionPostAddValue PageLeadgen PermissionChangeValue RatingsCommentValue change value of the ratings commentRatingsLikeValue Change value for ratings likeRatingsRatingValue change value of the ratings ratingRatingsReactionValue UserPageValue WebhookObject root object to fetch information provided by a webhook call


Friends' Websites & Other Helpful LinksOfficial SitesSylvanian Families (Japan) Sylvanian Families (UK) Calico Critters (USA)FriendsJacc's Sylvanian FamiliesChristina's Collection Lady Lollipop's Collection Candy's Collection Jona's Instagram Photos by Sylvanako ShoppingSylvanian Families ShopTwin Lane ForumsSylvanian Families ForumsHome |


Do you believe Mary Richards can pay you back?
You should only apply for a warrant of control if you believe Mary Richards has either:
- the amount you're trying to recover
- items that could be sold at auction to raise that amount
What bailiffs can and can't take
Bailiffs can take luxury items, for example a TV or games console.
They cannot take:
- things Mary Richards needs to live, such as clothes, a cooker or a bed
- pets or guide dogs
- a phone or mobile phone
- work tools and equipment worth a total of less than £1,350
- medicine or medical equipment
- anything bought on finance, such as a car bought using hire purchase
- someone else's belongings, such as their partner's computer


Showing header details along with the header menu will help users to get a better understanding of what kind of data is shown and allow them to customize the overall grid table by providing a several rich data table configurations.
showHeader: boolean
Default Value: false
Target Component: <ng-data-table>
To show the header in the data table users need to set the showHeader
property to true. The
default value for showing header is false.
By enabling showHeader
the header section will be enabled and there will be few additional properties
that can be configured after enabling the header section. Those details will be explained in detail in following
sections.
There are a few more properties that affect the behaviour of table header. All the available properties can be applied in the global level of grid configuration.
title: string
Default Value: ''
Target Component: <ng-data-table>
Depends On: [showHeader]
Title property will allow defining a name for the grid table. By binding, a string value to the title property will be display on header section. Providing a meaningful name is mandatory to get a better understanding of showing the data for the users from the first impression.
showRefreshButton: boolean
Default Value: false
Target Component: <ng-data-table>
Depends On: [showHeader]
This configuration can be used to enable/disable data refresh button. By enabling the refresh button users will be able to update the grid with the latest data by clicking on the refresh icon that appears in the header details bar.
This will become much handy while dealing with Server Side Basic or Server Side Web Socket Data Binding operations. When users click on the refresh button, it will trigger the particular event and Ornamentum will re-send a request by invoking the respective service call and render the data with the newly received response.
Also this property is useful in no data retrieval scenario, Please refer No Records Template for further details.
showColumnSelector: boolean
Default Value: false
Target Component: <ng-data-table>
Depends On: [showHeader]
This property is used to show or hide the column selector button. By enabling the column selector property, Ornamentum display all the Show In Column Selector enabled properties. Users can select/deselect the available columns that need to be shown in the grid table. Selected columns will be displayed with provided Column Selector Width or default column width.


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#
setFacadeApplication( \Illuminate\Contracts\Foundation\Application $app )
Set the application instance.
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The application instance being facaded.
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The resolved object instances.
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fun accept(): Pair<Socket, InetSocketAddress?>
Accepts a pending connection.
See Also: srt_accept
SocketException
- if returned SRT socket is not valid
Return
a pair containing the new Socket connection and the IP address and port specification of the remote device.


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Since the 1971, we have been proud to brew America’s most-loved beers. Today, our portfolio of amazing brands continues to lead the industry by delivering what you, our customers, want. From flavored extensions like Light, Strong, Ice, Ultra, to Michelob ULTRA Pure Gold, the first major beer to be USDA organic certified, we work tirelessly to deliver the strongest portfolio of beer brands in the industry.


{% load critical_tags %}
Use this template as a way to quickly start any new project. All you get is a single HTML file with everything bootstrapped!


My Portafolio website
Dic 2020
Description
This is my first project using HTML and CSS. This responsive website is the first one I will use for posting all the projects I have worked on during my career on computer science, I used flexbox and css grid, and also github for deploying my website.
Used Technologies
- HTML
- CSS
Links
What I learned
On this project I learned how to use HTML and CSS to implement a small blog website. As for CSS I now know how to use selectors to give styles to certain elements of an HTML file, I also know how to use flexbox and CSS grid in order to arrange elements in different ways. I learned about BEM methodology for giving names to my HTML elements. Finally I am able to understand the basics of a responsive website and how to deploy it with GitHub pages.


US writer sues Trump for defamation after alleged rape
NEW YORK: A prominent US magazine columnist who says Donald Trump raped her more than two decades ago sued the president for defamation on Monday (Nov 4) after he ridiculed her as "not my type."
E. Jean Carroll, 75, filed the lawsuit in a New York court, claiming Trump's denials of the alleged sexual assault had damaged her reputation and career.
"When I had the courage to speak out about the attack, he defamed my character, accused me of lying for personal gain, even insulted my appearance," she said in a statement.
Carroll alleged earlier this year that Trump raped her in a dressing room at the Bergdorf Goodman store in Manhattan in the mid-1990s following a chance encounter.
She said the alleged sexual assault took place after Trump, then a famous real estate developer, asked her for advice on buying lingerie for an unnamed woman.
The president denied knowing Carroll and accused her of "totally lying" when the claims were put to him in an interview with The Hill, a political news outlet, in June.
"I'll say it with great respect: Number one, she's not my type. Number two, it never happened. It never happened, OK?" Trump said.
Carroll, who writes a long-running column in Elle magazine, became at least the 16th woman to have accused Trump of sexual misconduct before he became president.
Summer Zervos, a one-time contestant on Trump's reality television show "The Apprentice," has also sued him for defamation after he said she lied in claiming that he groped and forcibly kissed her.
Carroll's account was first revealed in an excerpt of her new memoir that was published by New York magazine.
She said she never went to the police at the time because she was afraid of repercussions.
The 27-page complaint filed in Manhattan, which seeks unspecified damages, accuses Trump of knowingly lying about the alleged assault.
"He smeared her integrity, honesty, and dignity - all in the national press," it reads.
Carroll said she felt compelled to speak up by the #MeToo movement in 2017 which saw dozens of woman make sexual assault allegations against famous men.
"I am filing this on behalf of every woman who has ever been harassed, assaulted, silenced, or spoken up only to be shamed, fired, ridiculed and belittled," she tweeted on Monday.
"No person in this country should be above the law - including the president," Carroll added.
White House spokeswoman Stephanie Grisham described the journalist's allegations as "false" and called the lawsuit "frivolous."